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Sample records for means-end chain analysis

  1. A customer value analysis of Taiwan ice cream market: a means-end chain approach across consumption situations.

    PubMed

    Chen, Yan-Kwang; Tsai, Pei-Shan; Chiu, Fei-Rung

    2015-01-01

    In the highly competitive market, it is increasingly hard for ice cream stores to develop creative marketing strategies to retain existing customers and attract new ones. This study applies the means-end chain approach to identify the customer value, consequences, and attributes of ice cream and to suggest useful information for ice cream sellers to develop differential marketing strategies across various consumption situations (i.e. on a date, gathering with friends, craving for ice cream). This study conducted one-on-one in-depth interviews with participants. The interview content was subsequently analyzed and coded to produce an implication matrix and a hierarchical value map, which was further used to determine customers' value perceptions. The results indicate the terminal values of the highest strength comprised economy, pleasure, and efficiency. Pleasure was emphasized among consumers who were on a date or gathering with friends, whereas satisfaction was emphasized among consumers who craved ice cream. Based on the results, the study also provides suggestions to the industry and future researchers.

  2. The Values of College Students in Business Simulation Game: A Means-End Chain Approach

    ERIC Educational Resources Information Center

    Lin, Yu-Ling; Tu, Yu-Zu

    2012-01-01

    Business simulation games (BSGs) enable students to practice making decisions in a virtual environment, accumulate experience in application of strategies, and train themselves in modes of decision-making. This study examines the value sought by players of BSG. In this study, a means-end chain (MEC) model was adopted as the basis, and ladder…

  3. The Values of College Students in Business Simulation Game: A Means-End Chain Approach

    ERIC Educational Resources Information Center

    Lin, Yu-Ling; Tu, Yu-Zu

    2012-01-01

    Business simulation games (BSGs) enable students to practice making decisions in a virtual environment, accumulate experience in application of strategies, and train themselves in modes of decision-making. This study examines the value sought by players of BSG. In this study, a means-end chain (MEC) model was adopted as the basis, and ladder…

  4. Effects of Goal Specificity on Means-Ends Analysis and Learning.

    ERIC Educational Resources Information Center

    Sweller, John; Levine, Marvin

    1982-01-01

    The operation of means-ends analysis (MEA) involves attempts at reducing differences between problem states and the goal state. It was paradoxically found that the more problem solvers knew of the goal state, the less they learned of the problem structure during the solution process. (PN)

  5. Assessing the predictive value of means-end-chain theory: an application to meat product choice by Australian middle-aged women.

    PubMed

    Le Page, Aurore; Cox, David N; Georgie Russell, C; Leppard, Phillip I

    2005-04-01

    Means-end-chain theory seeks to understand how consumers make links between products and self-relevant consequences and values. To date, means-end-chain theory has remained a descriptive process and has not been applied to predicting product choice. Within the context of cooking meat, the main objective of this research was to assess the predictive value of the means-end-chain theory. In a two part study, we first undertook a laddering study (n=58 middle-aged women) focusing on cooking three different meat products, using small group administration and paper-and-pencil responses to elicit mean-end-chains (MEC). In the second part, we considered all the MEC independently and incorporated them into a questionnaire, which was also comprised of psycho-social predictors from a range of behavioural models. Responses were elicited from a sample of middle-aged women (n=247). Although MEC explained little of the variance in self-reported behaviour, they were shown to be an important predictor of attitude. Contrary to expectations, the least abstract levels of the MEC appeared to be the most predictive. A critical examination of the data suggested a need to reconsider the means-end-chain theory since it appears to take the respondents beyond their own awareness of their behaviours.

  6. Understanding the role of scientific evidence in consumer evaluation of natural health products for osteoarthritis an application of the means end chain approach

    PubMed Central

    2012-01-01

    Background Over 30% of individuals use natural health products (NHPs) for osteoarthritis-related pain. The Deficit Model for the Public Understanding of Science suggests that if individuals are given more information (especially about scientific evidence) they will make better health-related decisions. In contrast, the Contextual Model argues that scientific evidence is one of many factors that explain how consumers make health-related decisions. The primary objective was to investigate how the level of scientific evidence supporting the efficacy of NHPs impacts consumer decision-making in the self-selection of NHPs by individuals with osteoarthritis. Methods The means-end chain approach to product evaluation was used to compare laddering interviews with two groups of community-dwelling Canadian seniors who had used NHPs to treat their osteoarthritis. Group 1 (n=13) had used only NHPs (glucosamine and/or chondroitin) with “high” scientific evidence of efficacy. Group 2 (n=12) had used NHPs (methylsulfonylmethane (MSM) and/or bromelain) with little or no scientific evidence supporting efficacy. Content analysis and generation of hierarchical value maps facilitated the identification of similarities and differences between the two groups. Results The dominant decision-making chains for participants in the two scientific evidence categories were similar. Scientific evidence was an important decision-making factor but not as important as the advice from health care providers, friends and family. Most participants learned about scientific evidence via indirect sources from health care providers and the media. Conclusions The Contextual Model of the public understanding of science helps to explain why our participants believed scientific evidence is not the most important factor in their decision to use NHPs to help manage their osteoarthritis. PMID:23107559

  7. Pilot Emergency Tutoring System for F-4 Aircraft Fuel System Malfunction Using Means-Ends Analysis

    DTIC Science & Technology

    1990-06-01

    control. 1. The Systran Corporation Expert System Pilot Aid The Systran Corp. developed the Expert System Pilot Aid ( ESPA ) with the U.S Air Force’s... ESPA with a HELP command. ESPA begins analysis of the flight environment and takes proper action. If ESPA encounters an insufficient condition for...NO):- helpword(02), !, opJist( OL ), pennutation( OL ,POL), write(’The possible operators are: ’), nl, writelist(POL,op), write(’.’), nl, write(’Your

  8. That's why I take my ONS. Means-end chain as a novel approach to elucidate the personally relevant factors driving ONS consumption in nutritionally frail elderly users.

    PubMed

    den Uijl, Louise C; Kremer, Stefanie; Jager, Gerry; van der Stelt, Annelies J; de Graaf, Cees; Gibson, Peter; Godfrey, James; Lawlor, J Ben

    2015-06-01

    Oral nutritional supplements (ONS) are a recommended form of nutritional intervention for older malnourished persons when a 'food first' approach and/or food fortification prove ineffective. The efficacy of ONS will depend on, amongst other factors, whether persons do, or do not, consume their prescribed amount. Factors influencing ONS consumption can be product, context, or person related. Whereas product and context have received some attention, little is known about the person factors driving ONS consumption. In addition, the relative importance of the product, context, and person factors to ONS consumption is not known. Using the means-end chain (MEC) method, the current study elucidated personally relevant factors (product, context, and person factors) related to ONS consumption in two groups of older nutritionally frail ONS users: community-dwelling persons and care home residents with mainly somatic disorders. To our knowledge, the current work is the first to apply the MEC method to study older nutritionally frail ONS users. Forty ONS users (n = 20 per group) were recruited via healthcare professionals. The level of frailty was assessed using the FRAIL scale. Both groups were interviewed for 30 to 45 minutes using the soft laddering technique. The laddering data were analysed using LadderUX software™. The MEC method appeared to work well in both groups. The majority of the participants took ONS on their doctor's or dietician's prescription as they trusted their advice. The community-dwelling group took ONS to prolong their independence, whereas the care home group reported values that related more to small improvements in quality of life. In addition, care home residents perceived themselves as dependent on their caregiver for their ONS arrangements, whereas this dependence was not reported by community-dwelling persons. Key insights from this work will enable doctors and dieticians to customize their nutritional interventions to ONS users' personal

  9. Three Randomized Controlled Trials of Early Long-Chain Polyunsaturated Fatty Acid Supplementation on Means-End Problem Solving in 9-Month-Olds

    ERIC Educational Resources Information Center

    Drover, James; Hoffman, Dennis R.; Castaneda, Yolanda S.; Morale, Sarah E.; Birch, Eileen E.

    2009-01-01

    This study examines whether feeding infants formula supplemented with long-chain polyunsaturated fatty acids (LCPUFA) improves cognitive function of 9-month-olds. Participants included 229 infants from 3 randomized controlled trials. Children received either formula supplemented with docosahexaenoic acid and arachidonic acid, or a control formula…

  10. Three Randomized Controlled Trials of Early Long-Chain Polyunsaturated Fatty Acid Supplementation on Means-End Problem Solving in 9-Month-Olds

    ERIC Educational Resources Information Center

    Drover, James; Hoffman, Dennis R.; Castaneda, Yolanda S.; Morale, Sarah E.; Birch, Eileen E.

    2009-01-01

    This study examines whether feeding infants formula supplemented with long-chain polyunsaturated fatty acids (LCPUFA) improves cognitive function of 9-month-olds. Participants included 229 infants from 3 randomized controlled trials. Children received either formula supplemented with docosahexaenoic acid and arachidonic acid, or a control formula…

  11. Diagnostic reasoning strategies for means end models

    NASA Astrophysics Data System (ADS)

    Larsson, Jan Eric

    1994-05-01

    This paper describes three diagnostic methods for use with industrial processes. They are measurements validation, alarm analysis and fault diagnosis. Measurements validation means consistency checking of sensor and measurement values using any redundancy of instrumentation. Alarm analysis is the analysis of multiple alarm situations to find which alarms are directly connected to primary faults and which alarm are consequential effects of the primary ones. Finally, fault diagnosis is a search for the causes of and remedies for faults.

  12. Use of the Means/Ends Test to Evaluate Public School Dress-Code Policies

    ERIC Educational Resources Information Center

    Workman, Jane E.; Studak, Cathryn M.

    2008-01-01

    The purpose of this article is to explain how a means/ends test can be adapted for the school environment. Public school officials can use a means/ends test to document an analysis of whether dress-code policies will be effective in diminishing risks to the health, safety, or morality of the school population. Elements of policy evaluation--ends,…

  13. Use of the Means/Ends Test to Evaluate Public School Dress-Code Policies

    ERIC Educational Resources Information Center

    Workman, Jane E.; Studak, Cathryn M.

    2008-01-01

    The purpose of this article is to explain how a means/ends test can be adapted for the school environment. Public school officials can use a means/ends test to document an analysis of whether dress-code policies will be effective in diminishing risks to the health, safety, or morality of the school population. Elements of policy evaluation--ends,…

  14. Implantable Defibrillator May Not Mean End to Sports

    MedlinePlus

    ... page: https://medlineplus.gov/news/fullstory_166264.html Implantable Defibrillator May Not Mean End to Sports Risks for ... News on Exercise and Physical Fitness Pacemakers and Implantable Defibrillators Recent Health News Related MedlinePlus Health Topics Exercise ...

  15. Means-End Theory: Getting the Service Customer's Attention.

    ERIC Educational Resources Information Center

    Rosen, Deborah E.; Greenlee, Timothy B.

    2001-01-01

    Examined the usefulness of Means-End Theory in developing effective college recruitment brochures. Found evidence that brochures that emphasize attributes (e.g., cost, location) over consequences (e.g., getting a job) or values (e.g., security) will generate greater interest in an educational institution. (EV)

  16. Using Means-End Theory To Understand the Outdoor Adventure Experience.

    ERIC Educational Resources Information Center

    Goldenberg, Marni; Klenosky, David; McAvoy, Leo; Holman, Tom

    Means-end analysis was used to examine the linkages between elements of an Outward Bound course and the personal benefits and outcomes obtained or reinforced by course completion. A self-administered questionnaire was completed by 216 persons, who completed a course at the North Carolina Outward Bound School. Respondents were aged 14-66 (83…

  17. Using Means-End Theory To Understand the Outdoor Adventure Experience.

    ERIC Educational Resources Information Center

    Goldenberg, Marni; Klenosky, David; McAvoy, Leo; Holman, Tom

    Means-end analysis was used to examine the linkages between elements of an Outward Bound course and the personal benefits and outcomes obtained or reinforced by course completion. A self-administered questionnaire was completed by 216 persons, who completed a course at the North Carolina Outward Bound School. Respondents were aged 14-66 (83…

  18. Dogs are able to solve a means-end task

    PubMed Central

    Range, Friederike; Hentrup, Marleen; Viranyi, Zsofia

    2014-01-01

    Dogs, although very skilled in social communicative tasks, have shown limited abilities in the domain of physical cognition. Consequently, several researchers hypothesized that domestication enhanced dogs’ cognitive abilities in the social realm, but relaxed selection on the physical one. For instance, dogs failed to demonstrate means-end understanding, an important form of relying on physical causal connection, when tested in a string-pulling task. Here, we tested dogs in an ‘on/off’ task using a novel approach. Thirty-two dogs were confronted with four different conditions in which they could choose between two boards one with a reward ‘on’ and another one with a reward ‘off’ (reward was placed next to the board). The dogs chose the correct board when 1) both rewards were placed at the same distance from the dog, when 2) the reward placed ‘on’ the board was closer to the dog, and 3) even when the reward placed ‘off’ the board was much closer to the dog and was food. Interestingly, in the latter case dogs did not perform above chance, if instead of a direct reward, the dogs had to retrieve an object placed on the board to get a food reward. In contrast to previous string pulling studies, our results show that dogs are able to solve a means-end task even if proximity of the unsupported reward is a confounding factor. PMID:21445577

  19. Dogs are able to solve a means-end task.

    PubMed

    Range, Friederike; Hentrup, Marleen; Virányi, Zsófia

    2011-07-01

    Dogs, although very skilled in social-communicative tasks, have shown limited abilities in the domain of physical cognition. Consequently, several researchers hypothesized that domestication enhanced dogs' cognitive abilities in the social realm, but relaxed selection on the physical one. For instance, dogs failed to demonstrate means-end understanding, an important form of relying on physical causal connection, when tested in a string-pulling task. Here, we tested dogs in an "on/off" task using a novel approach. Thirty-two dogs were confronted with four different conditions in which they could choose between two boards one with a reward "on" and another one with a reward "off" (reward was placed next to the board). The dogs chose the correct board when (1) both rewards were placed at the same distance from the dog, when (2) the reward placed "on" the board was closer to the dog, and (3) even when the reward placed "off" the board was much closer to the dog and was food. Interestingly, in the latter case, dogs did not perform above chance, if instead of a direct reward, the dogs had to retrieve an object placed on the board to get a food reward. In contrast to previous string-pulling studies, our results show that dogs are able to solve a means-end task even if proximity of the unsupported reward is a confounding factor.

  20. Markov Chain Ontology Analysis (MCOA)

    PubMed Central

    2012-01-01

    Background Biomedical ontologies have become an increasingly critical lens through which researchers analyze the genomic, clinical and bibliographic data that fuels scientific research. Of particular relevance are methods, such as enrichment analysis, that quantify the importance of ontology classes relative to a collection of domain data. Current analytical techniques, however, remain limited in their ability to handle many important types of structural complexity encountered in real biological systems including class overlaps, continuously valued data, inter-instance relationships, non-hierarchical relationships between classes, semantic distance and sparse data. Results In this paper, we describe a methodology called Markov Chain Ontology Analysis (MCOA) and illustrate its use through a MCOA-based enrichment analysis application based on a generative model of gene activation. MCOA models the classes in an ontology, the instances from an associated dataset and all directional inter-class, class-to-instance and inter-instance relationships as a single finite ergodic Markov chain. The adjusted transition probability matrix for this Markov chain enables the calculation of eigenvector values that quantify the importance of each ontology class relative to other classes and the associated data set members. On both controlled Gene Ontology (GO) data sets created with Escherichia coli, Drosophila melanogaster and Homo sapiens annotations and real gene expression data extracted from the Gene Expression Omnibus (GEO), the MCOA enrichment analysis approach provides the best performance of comparable state-of-the-art methods. Conclusion A methodology based on Markov chain models and network analytic metrics can help detect the relevant signal within large, highly interdependent and noisy data sets and, for applications such as enrichment analysis, has been shown to generate superior performance on both real and simulated data relative to existing state-of-the-art approaches

  1. Relation chain based clustering analysis

    NASA Astrophysics Data System (ADS)

    Zhang, Cheng-ning; Zhao, Ming-yang; Luo, Hai-bo

    2011-08-01

    Clustering analysis is currently one of well-developed branches in data mining technology which is supposed to find the hidden structures in the multidimensional space called feature or pattern space. A datum in the space usually possesses a vector form and the elements in the vector represent several specifically selected features. These features are often of efficiency to the problem oriented. Generally, clustering analysis goes into two divisions: one is based on the agglomerative clustering method, and the other one is based on divisive clustering method. The former refers to a bottom-up process which regards each datum as a singleton cluster while the latter refers to a top-down process which regards entire data as a cluster. As the collected literatures, it is noted that the divisive clustering is currently overwhelming both in application and research. Although some famous divisive clustering methods are designed and well developed, clustering problems are still far from being solved. The k - means algorithm is the original divisive clustering method which initially assigns some important index values, such as the clustering number and the initial clustering prototype positions, and that could not be reasonable in some certain occasions. More than the initial problem, the k - means algorithm may also falls into local optimum, clusters in a rigid way and is not available for non-Gaussian distribution. One can see that seeking for a good or natural clustering result, in fact, originates from the one's understanding of the concept of clustering. Thus, the confusion or misunderstanding of the definition of clustering always derives some unsatisfied clustering results. One should consider the definition deeply and seriously. This paper demonstrates the nature of clustering, gives the way of understanding clustering, discusses the methodology of designing a clustering algorithm, and proposes a new clustering method based on relation chains among 2D patterns. In

  2. Supply-Chain Risk Analysis

    DTIC Science & Technology

    2016-06-07

    security score upon first submission – 3/1/2010 Measured Against CWE/SANS Top-25 Errors 24 SQL Database Query Output: All records with ID = 48983...exploitable design or coding errors • Very little data for software supply chains 8 Software Supply Chain Complexity-1 Composite inherits risk from any point... Relative Effort Operational Capabilities Knowledge of Supplier Capabilities Knowledge of Product Attributes 13 Supply-Chain Risk Categories Category

  3. Means-End Behavior in Young Infants: The Interplay of Action Perception and Action Production

    ERIC Educational Resources Information Center

    Daum, Moritz M.; Prinz, Wolfgang; Aschersleben, Gisa

    2009-01-01

    In 2 experiments, the interplay of action perception and action production was investigated in 6-month-old infants. In Experiment 1, infants received 2 versions of a means-end task in counterbalanced order. In the action perception version, a preferential looking paradigm in which infants were shown an actor performing means-end behavior with an…

  4. Postural and Object-Oriented Experiences Advance Early Reaching, Object Exploration, and Means-End Behavior

    ERIC Educational Resources Information Center

    Lobo, Michele A.; Galloway, James C.

    2008-01-01

    The effects of 3 weeks of social (control), postural, or object-oriented experiences on 9- to 21-week-old infants' (N = 42) reaching, exploration, and means-end behaviors were assessed. Coders recorded object contacts, mouthing, fingering, attention, and affect from video. Postural and object-oriented experiences advanced reaching, haptic…

  5. Postural and Object-Oriented Experiences Advance Early Reaching, Object Exploration, and Means-End Behavior

    ERIC Educational Resources Information Center

    Lobo, Michele A.; Galloway, James C.

    2008-01-01

    The effects of 3 weeks of social (control), postural, or object-oriented experiences on 9- to 21-week-old infants' (N = 42) reaching, exploration, and means-end behaviors were assessed. Coders recorded object contacts, mouthing, fingering, attention, and affect from video. Postural and object-oriented experiences advanced reaching, haptic…

  6. A Four-Year Follow-Up of Means-End Outcomes from Outdoor Adventure Programs

    ERIC Educational Resources Information Center

    Goldenberg, Marni; Soule, Katherine E.

    2015-01-01

    Means-end theory was used to analyze differences in outcomes from original interviews and follow-up interviews occurring four years after Outward Bound (OB) and National Outdoor Leadership School (NOLS) 2006 course participation. In 2006, a semi-structured, in-person interview was conducted after participants (N = 510) completed their course. In…

  7. A Four-Year Follow-Up of Means-End Outcomes from Outdoor Adventure Programs

    ERIC Educational Resources Information Center

    Goldenberg, Marni; Soule, Katherine E.

    2015-01-01

    Means-end theory was used to analyze differences in outcomes from original interviews and follow-up interviews occurring four years after Outward Bound (OB) and National Outdoor Leadership School (NOLS) 2006 course participation. In 2006, a semi-structured, in-person interview was conducted after participants (N = 510) completed their course. In…

  8. Infants' Sensitivity to the Causal Features of Means-End Support Sequences in Action and Perception

    ERIC Educational Resources Information Center

    Sommerville, Jessica A.; Woodward, Amanda L.

    2005-01-01

    Current work has yielded differential findings regarding infants' ability to perceptually detect the causal structure of a means-end support sequence. Resolving this debate has important implications for perception-action dissociations in this domain of object knowledge. In Study 1, 12-month-old infants' ability to perceive the causal structure of…

  9. Means-Ends Thinking, Adjustment, and Social Class Among Elementary-School-Aged Children

    ERIC Educational Resources Information Center

    Shure, Myrna B.; Spivack, George

    1972-01-01

    Irrespective of social class and intellectual functioning, disturbed youngsters in special schools (in contrast to normal Ss in regular schools), expressed both fewer elements of means-ends thinking and stories more limited to pragmatic, impulsive, and physically aggressive means. (Author)

  10. How Group Experience Affects Outcomes from NOLS Programs: A Means-End Investigation

    ERIC Educational Resources Information Center

    Goldenberg, Marni; Soule, Katherine

    2011-01-01

    Using means-end theory, this study evaluates how being part of a group influences outcomes of National Outdoor Leadership School (NOLS) participants. This study examines outcomes from NOLS courses during the summer of 2006 in the Wind River Mountain Range of Wyoming. Immediately following 2006 course completion, a convenience sample of 345…

  11. How Group Experience Affects Outcomes from NOLS Programs: A Means-End Investigation

    ERIC Educational Resources Information Center

    Goldenberg, Marni; Soule, Katherine

    2011-01-01

    Using means-end theory, this study evaluates how being part of a group influences outcomes of National Outdoor Leadership School (NOLS) participants. This study examines outcomes from NOLS courses during the summer of 2006 in the Wind River Mountain Range of Wyoming. Immediately following 2006 course completion, a convenience sample of 345…

  12. An episodic specificity induction enhances means-end problem solving in young and older adults.

    PubMed

    Madore, Kevin P; Schacter, Daniel L

    2014-12-01

    Episodic memory plays an important role not only in remembering past experiences, but also in constructing simulations of future experiences and solving means-end social problems. We recently found that an episodic specificity induction-brief training in recollecting details of past experiences-enhances performance of young and older adults on memory and imagination tasks. Here we tested the hypothesis that this specificity induction would also positively impact a means-end problem-solving task on which age-related changes have been linked to impaired episodic memory. Young and older adults received the specificity induction or a control induction before completing a means-end problem-solving task, as well as memory and imagination tasks. Consistent with previous findings, older adults provided fewer relevant steps on problem solving than did young adults, and their responses also contained fewer internal (i.e., episodic) details across the 3 tasks. There was no difference in the number of other (e.g., irrelevant) steps on problem solving or external (i.e., semantic) details generated on the 3 tasks as a function of age. Critically, the specificity induction increased the number of relevant steps and internal details (but not other steps or external details) that both young and older adults generated in problem solving compared with the control induction, as well as the number of internal details (but not external details) generated for memory and imagination. Our findings support the idea that episodic retrieval processes are involved in means-end problem solving, extend the range of tasks on which a specificity induction targets these processes, and show that the problem-solving performance of older adults can benefit from a specificity induction as much as that of young adults. (PsycINFO Database Record (c) 2014 APA, all rights reserved).

  13. An episodic specificity induction enhances means-end problem solving in young and older adults

    PubMed Central

    Madore, Kevin P.; Schacter, Daniel L.

    2014-01-01

    Episodic memory plays an important role not only in remembering past experiences, but also in constructing simulations of future experiences and solving means-end social problems. We recently found that an episodic specificity induction- brief training in recollecting details of past experiences- enhances performance of young and older adults on memory and imagination tasks. Here we tested the hypothesis that this specificity induction would also positively impact a means-end problem solving task on which age-related changes have been linked to impaired episodic memory. Young and older adults received the specificity induction or a control induction before completing a means-end problem solving task as well as memory and imagination tasks. Consistent with previous findings, older adults provided fewer relevant steps on problem solving than did young adults, and their responses also contained fewer internal (i.e., episodic) details across the three tasks. There was no difference in the number of other (e.g., irrelevant) steps on problem solving or external (i.e., semantic) details generated on the three tasks as a function of age. Critically, the specificity induction increased the number of relevant steps and internal details (but not other steps or external details) that both young and older adults generated in problem solving compared with the control induction, as well as the number of internal details (but not external details) generated for memory and imagination. Our findings support the idea that episodic retrieval processes are involved in means-end problem solving, extend the range of tasks on which a specificity induction targets these processes, and show that the problem solving performance of older adults can benefit from a specificity induction as much as that of young adults. PMID:25365688

  14. Bridging the Gap: Solving Spatial Means-Ends Relations in a Locomotor Task

    ERIC Educational Resources Information Center

    Berger, Sarah E.; Adolph, Karen E.; Kavookjian, Alisan E.

    2010-01-01

    Using a means-means-ends problem-solving task, this study examined whether 16-month-old walking infants (N = 28) took into account the width of a bridge as a means for crossing a precipice and the location of a handrail as a means for augmenting balance on a narrow bridge. Infants were encouraged to cross from one platform to another over narrow…

  15. Bridging the Gap: Solving Spatial Means-Ends Relations in a Locomotor Task

    ERIC Educational Resources Information Center

    Berger, Sarah E.; Adolph, Karen E.; Kavookjian, Alisan E.

    2010-01-01

    Using a means-means-ends problem-solving task, this study examined whether 16-month-old walking infants (N = 28) took into account the width of a bridge as a means for crossing a precipice and the location of a handrail as a means for augmenting balance on a narrow bridge. Infants were encouraged to cross from one platform to another over narrow…

  16. Desynchronization in EEG during perception of means-end actions and relations with infants' grasping skill.

    PubMed

    Yoo, Kathryn H; Cannon, Erin N; Thorpe, Samuel G; Fox, Nathan A

    2016-03-01

    The current study examined age-related differences in electroencephalogram (EEG) activity during perception of means-end actions and production of grasps, and how EEG activity may relate to infants' motor competence. We collected data from 9- and 12-month-old infants during perception of means-end actions made with a tool and during execution of their own grasps. We computed event-related desynchronization (ERD) during perception and production events and assessed infants' reach-grasp competence by looking at their latency to complete grasps. Although we found greater ERD during perception of means-end actions in 9-month-olds compared with 12-month-olds, we found the relation between ERD during perception and emerging reach-grasp competence to be specific for 12-month-olds and not for 9-month-olds. These results provide evidence for an emerging neural system that supports the coupling of action and perception with infants' emerging motor competence in the first year of life.

  17. Desynchronization in EEG during perception of means-end actions and relations with infants’ grasping skill

    PubMed Central

    Yoo, Kathryn H.; Cannon, Erin N.; Thorpe, Samuel G.; Fox, Nathan A.

    2015-01-01

    The current study examined age-related differences in EEG activity during perception of means-end actions and production of grasps, and how EEG activity may relate to infants’ motor competence. We collected data from 9- and 12-month-old infants during perception of means-end actions made with a tool and during execution of their own grasps. We computed event-related desynchronization (ERD) during perception and production events, and assessed infants’ reach-grasp competence by looking at their latency to complete grasps. Although we found greater ERD during perception of means-end actions in 9-month-olds compared to 12-month-olds, we found the relation between ERD during perception and emerging reach-grasp competence to be specific for 12-month-olds and not for 9-month-olds. These results provide evidence for an emerging neural system that supports the coupling of action and perception with infants’ emerging motor competence in the first year of life. PMID:26381525

  18. Biofuel supply chain, market, and policy analysis

    NASA Astrophysics Data System (ADS)

    Zhang, Leilei

    Renewable fuel is receiving an increasing attention as a substitute for fossil based energy. The US Department of Energy (DOE) has employed increasing effort on promoting the advanced biofuel productions. Although the advanced biofuel remains at its early stage, it is expected to play an important role in climate policy in the future in the transportation sector. This dissertation studies the emerging biofuel supply chain and markets by analyzing the production cost, and the outcomes of the biofuel market, including blended fuel market price and quantity, biofuel contract price and quantity, profitability of each stakeholder (farmers, biofuel producers, biofuel blenders) in the market. I also address government policy impacts on the emerging biofuel market. The dissertation is composed with three parts, each in a paper format. The first part studies the supply chain of emerging biofuel industry. Two optimization-based models are built to determine the number of facilities to deploy, facility locations, facility capacities, and operational planning within facilities. Cost analyses have been conducted under a variety of biofuel demand scenarios. It is my intention that this model will shed light on biofuel supply chain design considering operational planning under uncertain demand situations. The second part of the dissertation work focuses on analyzing the interaction between the key stakeholders along the supply chain. A bottom-up equilibrium model is built for the emerging biofuel market to study the competition in the advanced biofuel market, explicitly formulating the interactions between farmers, biofuel producers, blenders, and consumers. The model simulates the profit maximization of multiple market entities by incorporating their competitive decisions in farmers' land allocation, biomass transportation, biofuel production, and biofuel blending. As such, the equilibrium model is capable of and appropriate for policy analysis, especially for those policies

  19. Domestication has not affected the understanding of means-end connections in dogs

    PubMed Central

    Range, Friederike; Möslinger, Helene; Virányi, Zs

    2015-01-01

    Recent studies have revealed that dogs often perform well in cognitive tasks in the social domain, but rather poorly in the physical domain. This dichotomy has led to the hypothesis that the domestication process might have enhanced the social cognitive skills of dogs (Hare et al. in Science 298:1634–1636, 2002; Miklósi et al. in Curr Biol 13:763–766, 2003) but at the same time had a detrimental effect on their physical cognition (Frank in Z Tierpsychol 5:389–399, 1980). Despite the recent interest in dog cognition and especially the effects of domestication, the latter hypothesis has hardly been tested and we lack detailed knowledge of the physical understanding of wolves in comparison with dogs. Here, we set out to examine whether adult wolves and dogs rely on means-end connections using the string-pulling task, to test the prediction that wolves would perform better than dogs in such a task of physical cognition. We found that at the group level, dogs were more prone to commit the proximity error, while the wolves showed a stronger side bias. Neither wolves nor dogs showed an instantaneous understanding of means-end connection, but made different mistakes. Thus, the performance of the wolves and dogs in this string-pulling task did not confirm that domestication has affected the physical cognition of dogs. PMID:22460629

  20. Evidence of means-end behavior in Asian elephants (Elephas maximus).

    PubMed

    Irie-Sugimoto, Naoko; Kobayashi, Tessei; Sato, Takao; Hasegawa, Toshikazu

    2008-04-01

    The present study explores to what extent Asian elephants show "means-end" behavior. We used captive Asian elephants (N = 2) to conduct four variations of the Piagetian "support" problem, which involves a goal object that is out of reach, but rests on a support within reach. In the first condition, elephants were simultaneously presented with two identical trays serving as the "support", with the bait on one tray and the other tray left empty. In the next two conditions, the bait was placed on one tray, while additional bait was placed beside the other tray. In the last condition, both trays contained bait, but one of the trays had a small gap which prevented the elephants from reaching the reward. Subjects were required to choose and pull either tray with their trunk and to obtain the bait (i.e. goal). Results showed that one elephant performed all of the support problems significantly above chance after several sessions, suggesting that the elephant was capable of understanding that pulling the tray was the "means" for achieving the "end" of obtaining the bait. This study showed that elephants show means-end behavior when subjected to a Piagetian "support" task, and indicates that such goal-directed behavior occurs in species other than primates.

  1. Development of Means-End Behavior in Young Infants: Pulling a Support To Retrieve a Distant Object.

    ERIC Educational Resources Information Center

    Willatts, Peter

    1999-01-01

    Three longitudinal studies examined means-ends behavior of 6- to 8-month olds. Found that intentional means-end behavior increased between 6 and 7 months, with 7-month olds' performance influenced by the presence of a toy on the cloth. Performance was the same when cloth was attached to or separate from the toy. By 8 months, infants adjusted…

  2. The Goal Trumps the Means: Highlighting Goals is More Beneficial than Highlighting Means in Means-End Training

    ERIC Educational Resources Information Center

    Gerson, Sarah A.; Woodward, Amanda L.

    2013-01-01

    Means-end actions are an early-emerging form of problem solving. These actions require initiating initial behaviors with a goal in mind. In this study, we explored the origins of 8-month-old infants' means-end action production using a cloth-pulling training paradigm. We examined whether highlighting the goal (toy) or the means (cloth) was more…

  3. The Goal Trumps the Means: Highlighting Goals is More Beneficial than Highlighting Means in Means-End Training

    ERIC Educational Resources Information Center

    Gerson, Sarah A.; Woodward, Amanda L.

    2013-01-01

    Means-end actions are an early-emerging form of problem solving. These actions require initiating initial behaviors with a goal in mind. In this study, we explored the origins of 8-month-old infants' means-end action production using a cloth-pulling training paradigm. We examined whether highlighting the goal (toy) or the means (cloth) was more…

  4. Introducing a "Means-End" Approach to Human-Computer Interaction: Why Users Choose Particular Web Sites Over Others.

    ERIC Educational Resources Information Center

    Subramony, Deepak Prem

    Gutman's means-end theory, widely used in market research, identifies three levels of abstraction: attributes, consequences, and values--associated with the use of products, representing the process by which physical attributes of products gain personal meaning for users. The primary methodological manifestation of means-end theory is the…

  5. The Desired Teaching Qualities of Lecturers in Higher Education: A Means End Analysis

    ERIC Educational Resources Information Center

    Voss, Roediger; Gruber, Thorsten

    2006-01-01

    Purpose: The purpose of this research is to aim to develop a deeper understanding of the teaching qualities of effective lecturers that students desire and to uncover the constructs that underlie these desire expectations and reveal the underlying benefits for which students look. Design/methodology/approach: A semi-standardized qualitative…

  6. Exploring the functional mealtime associations of older adults through consumer segmentation and a means-end chain approach.

    PubMed

    den Uijl, Louise C; Jager, Gerry; de Graaf, Cees; Kremer, Stefanie

    2016-12-01

    Senior consumers are a rapidly growing and highly heterogeneous part of the world's population. This group does not always meet its recommended protein intake, which can negatively impact on their physical functioning and quality of life. To date, little is known about their motivations to consume protein-rich meals. In the current study, we therefore aim to identify consumer segments within the group of vital community-dwelling older adults on the basis of mealtime functionality (for example 'I eat because I'm hungry', or 'I eat because it is cosy'). To this end, we first conducted an online survey to identify these functional mealtime expectations of older consumers (study I, n = 398, 158 males, mean age 65.8 (y) ± 5.9 (SD)). To obtain further insights regarding mealtime functionality and proteins/protein enrichment, laddering interviews were conducted with a subgroup of the segmentation study participants (study II, n = 40, 20 males, mean age 66.9 (y) ± 4.8 (SD)). The results of the online survey showed three consumer clusters: cosy socialisers, physical nutritioners, and thoughtless rewarders. Thoughtless rewarders tend to eat without having explicit thoughts about it, they eat for the reward, and score highest on environmental awareness. Both the segmentation and the in-depth interviews showed that, for the cosy socialisers, the cosiness and social function of a meal are important motivators, whereas for the physical nutritioners the focus is more on the health and nutrient aspects of a meal. For cosy socialisers, protein enrichment can best be achieved through addition of protein-rich ingredients, whereas, for physical nutritioners, addition of protein powder is preferred. These results provide practical guidelines for the development of protein-rich meals and communication strategies tailored to the needs of specific vital community-dwelling older subgroups.

  7. Means-end comprehension in four parrot species: explained by social complexity.

    PubMed

    Krasheninnikova, Anastasia; Bräger, Stefan; Wanker, Ralf

    2013-09-01

    A comparative approach is required to investigate the evolutionary origins of cognitive abilities. In this paper, we compare the performance of four parrot species, spectacled parrotlets (Forpus conspicillatus), rainbow lorikeets (Trichoglossus haematodus), green-winged macaws (Ara chloroptera) and sulphur-crested cockatoos (Cacatua galerita triton) in standardized string-pulling and string-choice paradigms. We varied the spatial relationship between the strings, the presence of a reward and the physical contact between the string and the reward to test different cognitive skills requiring means-end comprehension. The species tested showed a high individual and inter-specific variation in their ability to solve the tasks. Spectacled parrotlets performed best among the four species and solved the most complex choice tasks, namely crossed-string task and broken-string task, spontaneously. In contrast, macaws and cockatoos failed to identify the correct string in these two tasks. The rainbow lorikeets were outperformed by the parrotlets, but outperformed in turn the macaws and the cockatoos. The findings can be best explained by the variation in social complexity among species, rather than in their ecology.

  8. Ligh chain cardiomyopathy - structural analysis of the light chain tissue deposits.

    SciTech Connect

    Gallo, G.; Goni, F.; Boctor, F.; Vidal, R.; Kumar, A.; Stevens, F. J.; Frangione, B.; Ghiso, J.; Center for Mechanistic Biology and Biotechnology; New York Univ. Medical Center

    1996-01-01

    Cardiomyopathy due to monoclonal light chain deposits is a complication of plasma cell disorders. The deposits may be either fibrillar as in light chain amyloid or nonfibrillar as in light chain deposition disease. The reasons for these structural differences are still unknown. We characterized the myocardial deposits by immunohistochemical examination of sections and extraction and biochemical analysis of the tissue deposits in a patient (MCM) who died of myeloma and systemic light chain deposition disease. Amino acid sequence analysis of the extracted nonfibrillar MCM {kappa}-light chain reveals that it belongs to the L12a germline subset of the {kappa}{sub I} protein and contains five distinctive amino acid substitutions (three in the framework region III and two in the complementarity-determining region III) that have not been reported previously in the same positions in other {kappa}I light chains. The theoretically determined isoelectric point (pI 8.21) of the MCM light chain is high compared with the low isoelectric point of other Bence Jones proteins from subjects without light chain deposition disease. The diffuse binding to basement membranes and the high isoelectric point of the MCM {kappa}-light chain suggest electrostatic interaction as a possible mechanism of tissue deposition. The spatial locations of the five distinctive residues and a sixth rare substitution of the MCM protein modeled on the backbone structure of REI, a {kappa}{sub I}-soluble Bence Jones light chain of known three-dimensional structure, may be responsible for protein destabilization, partial unfolding, and aggregation leading to tissue deposition.

  9. Exploratory Analysis of Supply Chains in the Defense Industrial Base

    DTIC Science & Technology

    2012-04-01

    I N S T I T U T E F O R D E F E N S E A N A LY S E S Exploratory Analysis of Supply Chains in the Defense Industrial Base James R. Dominy...contract DASW01-04-C-0003, AH-7-3315, “Exploratory Analysis of Supply Chains in the Defense Industrial Base,” for the Director, Industrial Policy. The...D E F E N S E A N A LY S E S IDA Document D-4308 Exploratory Analysis of Supply Chains in the Defense Industrial Base James R. Dominy, Project

  10. Rigorous modal analysis of metallic nanowire chains.

    PubMed

    Hochman, Amit; Leviatan, Yehuda

    2009-08-03

    Nanowire chains (NCs) are analyzed by use of a rigorous, full-wave, Source-Model Technique (SMT). The technique employs a proper periodic Green's function which converges regardless of whether the structure is lossless or lossy. By use of this Green's function, it is possible to determine the complex propagation constants of the NC modes directly and accurately, as solutions of a dispersion equation. To demonstrate the method, dispersion curves and mode profiles for a few NCs are calculated.

  11. Markov Chain Analysis of Musical Dice Games

    NASA Astrophysics Data System (ADS)

    Volchenkov, D.; Dawin, J. R.

    2012-07-01

    A system for using dice to compose music randomly is known as the musical dice game. The discrete time MIDI models of 804 pieces of classical music written by 29 composers have been encoded into the transition matrices and studied by Markov chains. Contrary to human languages, entropy dominates over redundancy, in the musical dice games based on the compositions of classical music. The maximum complexity is achieved on the blocks consisting of just a few notes (8 notes, for the musical dice games generated over Bach's compositions). First passage times to notes can be used to resolve tonality and feature a composer.

  12. Fast analysis of radionuclide decay chain migration

    NASA Astrophysics Data System (ADS)

    Chen, J. S.; Liang, C. P.; Liu, C. W.; Li, L.

    2014-12-01

    A novel tool for rapidly predicting the long-term plume behavior of an arbitrary length radionuclide decay chain is presented in this study. This fast tool is achieved based on generalized analytical solutions in compact format derived for a set of two-dimensional advection-dispersion equations coupled with sequential first-order decay reactions in groundwater system. The performance of the developed tool is evaluated by a numerical model using a Laplace transform finite difference scheme. The results of performance evaluation indicate that the developed model is robust and accurate. The developed model is then used to fast understand the transport behavior of a four-member radionuclide decay chain. Results show that the plume extents and concentration levels of any target radionuclide are very sensitive to longitudinal, transverse dispersion, decay rate constant and retardation factor. The developed model are useful tools for rapidly assessing the ecological and environmental impact of the accidental radionuclide releases such as the Fukushima nuclear disaster where multiple radionuclides leaked through the reactor, subsequently contaminating the local groundwater and ocean seawater in the vicinity of the nuclear plant.

  13. Modeling methodology for supply chain synthesis and disruption analysis

    NASA Astrophysics Data System (ADS)

    Wu, Teresa; Blackhurst, Jennifer

    2004-11-01

    The concept of an integrated or synthesized supply chain is a strategy for managing today's globalized and customer driven supply chains in order to better meet customer demands. Synthesizing individual entities into an integrated supply chain can be a challenging task due to a variety of factors including conflicting objectives, mismatched incentives and constraints of the individual entities. Furthermore, understanding the effects of disruptions occurring at any point in the system is difficult when working toward synthesizing supply chain operations. Therefore, the goal of this research is to present a modeling methodology to manage the synthesis of a supply chain by linking hierarchical levels of the system and to model and analyze disruptions in the integrated supply chain. The contribution of this research is threefold: (1) supply chain systems can be modeled hierarchically (2) the performance of synthesized supply chain system can be evaluated quantitatively (3) reachability analysis is used to evaluate the system performance and verify whether a specific state is reachable, allowing the user to understand the extent of effects of a disruption.

  14. Markov chain Monte Carlo linkage analysis of complex quantitative phenotypes.

    PubMed

    Hinrichs, A; Reich, T

    2001-01-01

    We report a Markov chain Monte Carlo analysis of the five simulated quantitative traits in Genetic Analysis Workshop 12 using the Loki software. Our objectives were to determine the efficacy of the Markov chain Monte Carlo method and to test a new scoring technique. Our initial blind analysis, on replicate 42 (the "best replicate") successfully detected four out of the five disease loci and found no false positives. A power analysis shows that the software could usually detect 4 of the 10 trait/gene combinations at an empirical point-wise p-value of 1.5 x 10(-4).

  15. Global Carbon Fiber Composites Supply Chain Competitiveness Analysis

    SciTech Connect

    Das, Sujit; Warren, Josh; West, Devin; Schexnayder, Susan M.

    2016-05-01

    This analysis identifies key opportunities in the carbon fiber supply chain where resources and investments can help advance the clean energy economy. The report focuses on four application areas — wind energy, aerospace, automotive, and pressure vessels — that top the list of industries using carbon fiber and carbon fiber reinforced polymers. For each of the four application areas, the report addresses the supply and demand trends within that sector, supply chain, and costs of carbon fiber and components.

  16. An analysis of general chain systems

    NASA Technical Reports Server (NTRS)

    Passerello, C. E.; Huston, R. L.

    1972-01-01

    A general analysis of dynamic systems consisting of connected rigid bodies is presented. The number of bodies and their manner of connection is arbitrary so long as no closed loops are formed. The analysis represents a dynamic finite element method, which is computer-oriented and designed so that nonworking, interval constraint forces are automatically eliminated. The method is based upon Lagrange's form of d'Alembert's principle. Shifter matrix transformations are used with the geometrical aspects of the analysis. The method is illustrated with a space manipulator.

  17. [Analysis of complexity in Chinese meteria medica industrial chain].

    PubMed

    Liu, Ying; Li, Qi; Wang, Xiao-Fan

    2014-08-01

    Chinese meteria medica (CMM) chain is a long-span chain covering agriculture which mainly depends on the forces of nature as well as high-tech CMM industry, CMM expertise industry and fast developing CMM circulation industry. Imbalance among the development of these industries produces bottlenecks and hinders the operation of the entire production chain. After analyzing the structure of Chinese meteria medica industrial chain from the perspective of national economy industry, three industry classifications and differentiation of factor intensity, we conclude that the complex structure of CMM industry chain is attributable to these three aspects. And the complexity is mainly shown at complex industry, varied product types, different coordination of various industrial sections and different technical growth speed of varied industry. We propose that structural complexity is the natural property of the chain, which is the main reason of industry sector development imbalance and bottleneck. Results of this research could provide theoretical analysis for future research on the coordination of industrial chain and the efficiency of resource allocation.

  18. Mathematics analysis of polymerase chain reaction kinetic curves.

    PubMed

    Sochivko, D G; Fedorov, A A; Varlamov, D A; Kurochkin, V E; Petrov, R V

    2016-01-01

    The paper reviews different approaches to the mathematical analysis of polymerase chain reaction (PCR) kinetic curves. The basic principles of PCR mathematical analysis are presented. Approximation of PCR kinetic curves and PCR efficiency curves by various functions is described. Several PCR models based on chemical kinetics equations are suggested. Decision criteria for an optimal function to describe PCR efficiency are proposed.

  19. Conformational analysis of molecular chains using nano-kinematics.

    PubMed

    Manocha, D; Zhu, Y; Wright, W

    1995-02-01

    We present algorithms for 3-D manipulation and conformational analysis of molecular chains, when bond lengths, bond angles and related dihedral angles remain fixed. These algorithms are useful for local deformations of linear molecules, exact ring closure in cyclic molecules and molecular embedding for short chains. Other possible applications include structure prediction, protein folding, conformation energy analysis and 3D molecular matching and docking. The algorithms are applicable to all serial molecular chains and make no assumptions about their geometry. We make use of results on direct and inverse kinematics from robotics and mechanics literature and show the correspondence between kinematics and conformational analysis of molecules. In particular, we pose these problems algebraically and compute all the solutions making use of the structure of these equations and matrix computations. The algorithms have been implemented and perform well in practice. In particular, they take tens of milliseconds on current workstations for local deformations and chain closures on molecular chains consisting of six or fewer rotatable dihedral angles.

  20. Hybrid modeling and empirical analysis of automobile supply chain network

    NASA Astrophysics Data System (ADS)

    Sun, Jun-yan; Tang, Jian-ming; Fu, Wei-ping; Wu, Bing-ying

    2017-05-01

    Based on the connection mechanism of nodes which automatically select upstream and downstream agents, a simulation model for dynamic evolutionary process of consumer-driven automobile supply chain is established by integrating ABM and discrete modeling in the GIS-based map. Firstly, the rationality is proved by analyzing the consistency of sales and changes in various agent parameters between the simulation model and a real automobile supply chain. Second, through complex network theory, hierarchical structures of the model and relationships of networks at different levels are analyzed to calculate various characteristic parameters such as mean distance, mean clustering coefficients, and degree distributions. By doing so, it verifies that the model is a typical scale-free network and small-world network. Finally, the motion law of this model is analyzed from the perspective of complex self-adaptive systems. The chaotic state of the simulation system is verified, which suggests that this system has typical nonlinear characteristics. This model not only macroscopically illustrates the dynamic evolution of complex networks of automobile supply chain but also microcosmically reflects the business process of each agent. Moreover, the model construction and simulation of the system by means of combining CAS theory and complex networks supplies a novel method for supply chain analysis, as well as theory bases and experience for supply chain analysis of auto companies.

  1. Space system operations and support cost analysis using Markov chains

    NASA Technical Reports Server (NTRS)

    Unal, Resit; Dean, Edwin B.; Moore, Arlene A.; Fairbairn, Robert E.

    1990-01-01

    This paper evaluates the use of Markov chain process in probabilistic life cycle cost analysis and suggests further uses of the process as a design aid tool. A methodology is developed for estimating operations and support cost and expected life for reusable space transportation systems. Application of the methodology is demonstrated for the case of a hypothetical space transportation vehicle. A sensitivity analysis is carried out to explore the effects of uncertainty in key model inputs.

  2. Food chain analysis at a mining waste-contaminated wetland

    SciTech Connect

    Pascoe, G.A.; Blanchet, R.J.; Linder, G.

    1994-12-31

    A food chain analysis was performed in support of a baseline ecological risk assessment oat the Milltown Reservoir Sediments Superfund site in Montana. The site consists of over 450 acres of primarily palustrine wetland contaminated with metals from mining-wastes transported from upstream sources. The food chain analysis focused on several species of terrestrial and aquatic animals indigenous to montane wetlands of the northern Rocky Mountains. Samples of small mammal tissues, grasses, forbs, invertebrates, soils, sediment, aquatic plants, and fish were collected and analyzed for As, Cd, Cu, Pb, and Zn. A linear multimedia food-chain model was constructed to estimate daily intakes of the metals for each receptor, with assumed values for aquatic and terrestrial food items from the site, ingestion of local surface water, incidental ingestion of soils or sediments, and estimated bioavailability of soil metals. Evaluation of health risks was performed by the quotient method, where exposures expressed as daily intakes were compared to literature toxicity values. Results from the food chain analysis suggested that the health of primary consumers and higher trophic organisms (including mice, voles, muskrats, beaver, various waterfowl species, osprey, bald eagles, and deer) is not at risk due to the presence of elevated metals in sediments or upland soils at the site.

  3. Rich Interpretation vs. Deflationary Accounts in Cognitive Development: The Case of Means-End Skills in 7-Month-Old Infants.

    ERIC Educational Resources Information Center

    Munakata, Yuko; Bauer, David; Stackhouse, Tracy; Landgraf, Laura; Huddleston, Jennifer

    2002-01-01

    Tested whether 7-month-olds' means-end behaviors were genuine or the repetition of trained behaviors under conditions of greater arousal. Found that infants' learned button-pushing to light a set of distant lights differed from button-pushing to retrieve toys. Infants demonstrated means-end skills with behaviors that they had not been trained to…

  4. Analysis of Aircraft Combat Sustainability Using a Markov Chain

    DTIC Science & Technology

    1988-09-01

    reverse if necessary and identify by block number) FIELD GROUP SUB-GROUP Markov Chain,’ H-60 Blackhawk, V-22 Osprey - First Step Analysis; Air Combat...LIST OF TABLES Table 1. H-60 BLACKHAWK RESULTS ............................. 16 Table 2. V-221 OSPREY RESULTS...integral VSTOL (vertical, short takeoff and landing) capabil- ity, the tilt rotor, MV-22 Osprey . Numerous analyses have been performed to assist in the

  5. Effects of enterprise technology on supply chain collaboration: analysis of China-linked supply chain

    NASA Astrophysics Data System (ADS)

    Li, Ling

    2012-02-01

    Supply chain collaboration has received increasing attention from scholars and practitioners in recent years. However, our understanding of how enterprise information technology facilitates supply chain collaboration is still very limited, especially with regard to Chinese enterprise ownerships such as state-owned firms, joint-venture firms and local village-owned firms. This paper extends the theory established in enterprise information technology (IT) and supply chain collaboration literature and relates it with coordination in China-linked supply chain. Drawing upon an empirical study from 177 Chinese companies, we provide three major findings: (i) uncovered the importance of leveraging enterprise IT through supply chain collaboration; (ii) identified the relationship between enterprise ownership and enterprise technology use and supply chain collaboration in China-linked supply chain and (iii) illustrated effects of supply chain collaborative activities on operational and market performance.

  6. Modeling Value Chain Analysis of Distance Education using UML

    NASA Astrophysics Data System (ADS)

    Acharya, Anal; Mukherjee, Soumen

    2010-10-01

    Distance education continues to grow as a methodology for the delivery of course content in higher education in India as well as abroad. To manage this growing demand and to provide certain flexibility, there must be certain strategic planning about the use of ICT tools. Value chain analysis is a framework for breaking down the sequence of business functions into a set of activities through which utility could be added to service. Thus it can help to determine the competitive advantage that is enjoyed by an institute. To implement these business functions certain visual representation is required. UML allows for this representation by using a set of structural and behavioral diagrams. In this paper, the first section defines a framework for value chain analysis and highlights its advantages. The second section gives a brief overview of related work in this field. The third section gives a brief discussion on distance education. The fourth section very briefly introduces UML. The fifth section models value chain of distance education using UML. Finally we discuss the limitations and the problems posed in this domain.

  7. Modelling and analysis of workflow for lean supply chains

    NASA Astrophysics Data System (ADS)

    Ma, Jinping; Wang, Kanliang; Xu, Lida

    2011-11-01

    Cross-organisational workflow systems are a component of enterprise information systems which support collaborative business process among organisations in supply chain. Currently, the majority of workflow systems is developed in perspectives of information modelling without considering actual requirements of supply chain management. In this article, we focus on the modelling and analysis of the cross-organisational workflow systems in the context of lean supply chain (LSC) using Petri nets. First, the article describes the assumed conditions of cross-organisation workflow net according to the idea of LSC and then discusses the standardisation of collaborating business process between organisations in the context of LSC. Second, the concept of labelled time Petri nets (LTPNs) is defined through combining labelled Petri nets with time Petri nets, and the concept of labelled time workflow nets (LTWNs) is also defined based on LTPNs. Cross-organisational labelled time workflow nets (CLTWNs) is then defined based on LTWNs. Third, the article proposes the notion of OR-silent CLTWNS and a verifying approach to the soundness of LTWNs and CLTWNs. Finally, this article illustrates how to use the proposed method by a simple example. The purpose of this research is to establish a formal method of modelling and analysis of workflow systems for LSC. This study initiates a new perspective of research on cross-organisational workflow management and promotes operation management of LSC in real world settings.

  8. Global Carbon Fiber Composites Supply Chain Competitiveness Analysis

    SciTech Connect

    Das, Sujit; Warren, Josh; West, Devin; Schexnayder, Susan M.

    2016-05-01

    This study identifies key opportunities in the carbon fiber supply chain where the United States Department of Energy's Office of Energy Efficiency and Renewable Energy resources and investments can help the United States achieve or maintain a competitive advantage. The report focuses on four application areas--wind energy, aerospace, automotive, and pressure vessels--that top the list of industries using carbon fiber and carbon fiber reinforced polymers and are also particularly relevant to EERE's mission. For each of the four application areas, the report addresses the supply and demand trends within that sector, supply chain, and costs of carbon fiber and components, all contributing to a competitiveness assessment that addresses the United States' role in future industry growth. This report was prepared by researchers at Oak Ridge National Laboratory and the University of Tennessee for the Clean Energy Manufacturing Analysis Center.

  9. Supply Chain Sustainability Analysis of Fast Pyrolysis and Hydrotreating Bio-Oil to Produce Hydrocarbon Fuel

    SciTech Connect

    Adom, Felix K.; Cai, Hao; Dunn, Jennifer B.; Hartley, Damon; Searcy, Erin; Tan, Eric; Jones, Sue; Snowden-Swan, Lesley

    2016-03-31

    This report describes the supply chain sustainability analysis (SCSA) of renewable gasoline and diesel produced via fast pyrolysis of a blended woody feedstock. The metrics considered in this analysis include supply chain greenhouse gas (GHG) emissions and water consumption.

  10. A new climate classification based on Markov chain analysis

    NASA Astrophysics Data System (ADS)

    Mieruch, S.; Noël, S.; Bovensmann, H.; Burrows, J. P.; Freund, J. A.

    2009-12-01

    Existing climate classifications comprise the genetic classification, which is based on climate genesis factors such as winds and oceanic and continental climate, and the empiric classification based on temperature, precipitation, vegetation and more. We present a novel method for climate classification that is based on dynamic climate descriptors, which are persistence, recurrence time and entropy and coin a dynamic classification of climate. These descriptors are derived from a coarse-grained categorical representation of multivariate time series and a subsequent Markov chain analysis. They are useful for a comparative analysis of different climate regions and, in the context of global climate change, for a regime shift analysis. We apply the method to the bivariate set of water vapor and temperature of two regional climates, the Iberian Peninsula and the islands of Hawaii in the central Pacific Ocean. Through the Markov chain analysis and via the derived descriptors we are able to quantify significant differences between the two climate regions. We discuss how these descriptors reflect properties such as climate stability, rate of changes and short term predictability.

  11. Numerical analysis of ossicular chain lesion of human ear

    NASA Astrophysics Data System (ADS)

    Liu, Yingxi; Li, Sheng; Sun, Xiuzhen

    2009-04-01

    Lesion of ossicular chain is a common ear disease impairing the sense of hearing. A comprehensive numerical model of human ear can provide better understanding of sound transmission. In this study, we propose a three-dimensional finite element model of human ear that incorporates the canal, tympanic membrane, ossicular bones, middle ear suspensory ligaments/muscles, middle ear cavity and inner ear fluid. Numerical analysis is conducted and employed to predict the effects of middle ear cavity, malleus handle defect, hypoplasia of the long process of incus, and stapedial crus defect on sound transmission. The present finite element model is shown to be reasonable in predicting the ossicular mechanics of human ear.

  12. Managing Distance Education Institutions through Value Chain Analysis: the Nigerian Experience.

    ERIC Educational Resources Information Center

    Aderinto, J. A.; Akintayo, M. O.

    Value chain analysis can gauge, analyze, and predict organization effects to control cost in light of achieving strategic organization objectives of distance education. Value chain analysis enables organizations to accomplish their goal or mission through cost effectiveness or differentiation. The value chain activity structure in a distance…

  13. Analysis of short-chain chlorinated paraffins: a discussion paper.

    PubMed

    Pellizzato, Francesca; Ricci, Marina; Held, Andrea; Emons, Hendrik

    2007-09-01

    Short-chain chlorinated paraffins are a class of organic compounds widely used in many industrial applications, extensively diffused into the environment, persistent, bioaccumulative, and toxic towards aquatic organisms. However, their study and monitoring in the environment are still limited. Because of the enormous number of positional isomers that characterise their mixtures, the analysis of this class of pollutants is very difficult to perform. Beside this, the lack of certified reference materials poses a problem for the assessment of the quality assurance/quality control of any analytical procedure. At present, the scientific community does not agree on any analytical reference method, although the monitoring of short-chain chlorinated paraffins has already started in order to comply with the Water Framework Directive of the European Union on water quality. In this paper the regulatory framework, in which chlorinated paraffins are included, and the status concerning their determination are summarized. The main analytical difficulties still existing are discussed, and the definition of a method-defined parameter as well as the development of a standardised method are suggested as a way to obtain comparable monitoring data.

  14. Stability analysis of three species food chain with competition

    NASA Astrophysics Data System (ADS)

    Abadi, Savitri, D.

    2015-03-01

    We study a food chain system that consists of 1 prey and 2 predators populations. The prey population grows logistically while the predators apply different Holling functional responses. The first predator preys on the prey following Holling type II functional response and the second predator preys on both the prey and the first predator following Holling type II and III functional responses, respectively. The study starts with the stability analysis of critical points of the systems. Then, by using normal form and centre manifold method the information about other nontrivial solutions due to bifurcation including possible limit cycles appearance is obtained. The results are confirmed by numerical simulation using MatCont and biological interpretation of the results are also presented.

  15. Quantitative polymerase chain reaction analysis by deconvolution of internal standard.

    PubMed

    Hirakawa, Yasuko; Medh, Rheem D; Metzenberg, Stan

    2010-04-29

    Quantitative Polymerase Chain Reaction (qPCR) is a collection of methods for estimating the number of copies of a specific DNA template in a sample, but one that is not universally accepted because it can lead to highly inaccurate (albeit precise) results. The fundamental problem is that qPCR methods use mathematical models that explicitly or implicitly apply an estimate of amplification efficiency, the error of which is compounded in the analysis to unacceptable levels. We present a new method of qPCR analysis that is efficiency-independent and yields accurate and precise results in controlled experiments. The method depends on a computer-assisted deconvolution that finds the point of concordant amplification behavior between the "unknown" template and an admixed amplicon standard. We apply the method to demonstrate dexamethasone-induced changes in gene expression in lymphoblastic leukemia cell lines. This method of qPCR analysis does not use any explicit or implicit measure of efficiency, and may therefore be immune to problems inherent in other qPCR approaches. It yields an estimate of absolute initial copy number of template, and controlled tests show it generates accurate results.

  16. Analysis of the gravitaxis signal transduction chain in Euglena gracilis

    NASA Astrophysics Data System (ADS)

    Nasir, Adeel

    Abstract Euglena gracilis is a photosynthetic, eukaryotic flagellate. It can adapt autotrophic and heterotrophic mode of growth and respond to different stimuli, this makes it an organism of choice for different research disciplines. It swims to reach a suitable niche by employing different stimuli such as oxygen, light, gravity and different chemicals. Among these stimuli light and gravity are the most important. Phototaxis (locomotion under light stimulus) and gravitaxis (locomotion under gravity stimulus) synergistically help cells to attain an optimal niche in the environment. However, in the complete absence of light or under scarcity of detectable light, cells can totally depend on gravity to find its swimming path. Therefore gravity has certain advantages over other stimuli.Unlike phototatic signal transduction chain of Euglena gracilis no clear primary gravity receptor has been identified in Euglena cells so far. However, there are some convincing evidence that TRP like channels act as a primary gravity receptor in Euglena gracilis.Use of different inhibitors gave rise to the involvement of protein kinase and calmodulin proteins in signal transduction chain of Euglena gracilis. Recently, specific calmodulin (Calmodulin 2) and protein kinase (PKA) have been identified as potential candidates of gravitactic signal transduction chain. Further characterization and investigation of these candidates was required. Therefore a combination of biochemical and genetic techniques was employed to localize proteins in cells and also to find interacting partners. For localization studies, specific antibodies were raised and characterized. Specificity of antibodies was validated by knockdown mutants, Invitro-translated proteins and heterologously expressed proteins. Cell fractionation studies, involving separation of the cell body and flagella for western blot analysis and confocal immunofluorescence studies were performed for subcellular localization. In order to find

  17. Rouse Mode Analysis of Chain Relaxation in Homopolymer Melts

    PubMed Central

    2015-01-01

    We use molecular dynamics simulations of the Kremer–Grest (KG) bead–spring model of polymer chains of length between 10 and 500, and a closely related analogue that allows for chain crossing, to clearly delineate the effects of entanglements on the length-scale-dependent chain relaxation in polymer melts. We analyze the resulting trajectories using the Rouse modes of the chains and find that entanglements strongly affect these modes. The relaxation rates of the chains show two limiting effective monomeric frictions, with the local modes experiencing much lower effective friction than the longer modes. The monomeric relaxation rates of longer modes vary approximately inversely with chain length due to kinetic confinement effects. The time-dependent relaxation of Rouse modes has a stretched exponential character with a minimum of stretching exponent in the vicinity of the entanglement chain length. None of these trends are found in models that allow for chain crossing. These facts, in combination, argue for the confined motion of chains for time scales between the entanglement time and their ultimate free diffusion. PMID:25328247

  18. Rouse mode analysis of chain relaxation in homopolymer melts

    DOE PAGES

    Kalathi, Jagannathan T.; Kumar, Sanat K.; Rubinstein, Michael; ...

    2014-09-15

    We use molecular dynamics simulations of the Kremer–Grest (KG) bead–spring model of polymer chains of length between 10 and 500, and a closely related analogue that allows for chain crossing, to clearly delineate the effects of entanglements on the length-scale-dependent chain relaxation in polymer melts. We analyze the resulting trajectories using the Rouse modes of the chains and find that entanglements strongly affect these modes. The relaxation rates of the chains show two limiting effective monomeric frictions, with the local modes experiencing much lower effective friction than the longer modes. The monomeric relaxation rates of longer modes vary approximately inverselymore » with chain length due to kinetic confinement effects. The time-dependent relaxation of Rouse modes has a stretched exponential character with a minimum of stretching exponent in the vicinity of the entanglement chain length. None of these trends are found in models that allow for chain crossing. As a result, these facts, in combination, argue for the confined motion of chains for time scales between the entanglement time and their ultimate free diffusion.« less

  19. Rouse mode analysis of chain relaxation in homopolymer melts

    SciTech Connect

    Kalathi, Jagannathan T.; Kumar, Sanat K.; Rubinstein, Michael; Grest, Gary S.

    2014-09-15

    We use molecular dynamics simulations of the Kremer–Grest (KG) bead–spring model of polymer chains of length between 10 and 500, and a closely related analogue that allows for chain crossing, to clearly delineate the effects of entanglements on the length-scale-dependent chain relaxation in polymer melts. We analyze the resulting trajectories using the Rouse modes of the chains and find that entanglements strongly affect these modes. The relaxation rates of the chains show two limiting effective monomeric frictions, with the local modes experiencing much lower effective friction than the longer modes. The monomeric relaxation rates of longer modes vary approximately inversely with chain length due to kinetic confinement effects. The time-dependent relaxation of Rouse modes has a stretched exponential character with a minimum of stretching exponent in the vicinity of the entanglement chain length. None of these trends are found in models that allow for chain crossing. As a result, these facts, in combination, argue for the confined motion of chains for time scales between the entanglement time and their ultimate free diffusion.

  20. Identifying Innovative Interventions to Promote Healthy Eating Using Consumption-Oriented Food Supply Chain Analysis

    PubMed Central

    Hawkes, Corinna

    2009-01-01

    The mapping and analysis of supply chains is a technique increasingly used to address problems in the food system. Yet such supply chain management has not yet been applied as a means of encouraging healthier diets. Moreover, most policies recommended to promote healthy eating focus on the consumer end of the chain. This article proposes a consumption-oriented food supply chain analysis to identify the changes needed in the food supply chain to create a healthier food environment, measured in terms of food availability, prices, and marketing. Along with established forms of supply chain analysis, the method is informed by a historical overview of how food supply chains have changed over time. The method posits that the actors and actions in the chain are affected by organizational, financial, technological, and policy incentives and disincentives, which can in turn be levered for change. It presents a preliminary example of the supply of Coca-Cola beverages into school vending machines and identifies further potential applications. These include fruit and vegetable supply chains, local food chains, supply chains for health-promoting versions of food products, and identifying financial incentives in supply chains for healthier eating. PMID:23144674

  1. Identifying Innovative Interventions to Promote Healthy Eating Using Consumption-Oriented Food Supply Chain Analysis.

    PubMed

    Hawkes, Corinna

    2009-07-01

    The mapping and analysis of supply chains is a technique increasingly used to address problems in the food system. Yet such supply chain management has not yet been applied as a means of encouraging healthier diets. Moreover, most policies recommended to promote healthy eating focus on the consumer end of the chain. This article proposes a consumption-oriented food supply chain analysis to identify the changes needed in the food supply chain to create a healthier food environment, measured in terms of food availability, prices, and marketing. Along with established forms of supply chain analysis, the method is informed by a historical overview of how food supply chains have changed over time. The method posits that the actors and actions in the chain are affected by organizational, financial, technological, and policy incentives and disincentives, which can in turn be levered for change. It presents a preliminary example of the supply of Coca-Cola beverages into school vending machines and identifies further potential applications. These include fruit and vegetable supply chains, local food chains, supply chains for health-promoting versions of food products, and identifying financial incentives in supply chains for healthier eating.

  2. Diagnostic challenges of tuberculous lymphadenitis using polymerase chain reaction analysis: a case study.

    PubMed

    Taniguchi, Hirokazu; Nakamura, Masahiko; Shimokawa, Kazuki; Kamiseki, Fumi; Ishizawa, Shin; Abo, Hitoshi; Furuse, Hideaki; Tsuda, Takeshi; Masaki, Yasuaki; Suzuki, Kensuke

    2015-01-01

    This report presents a case of tuberculous lymphadenitis that was difficult to diagnose using polymerase chain reaction analysis. An 80-year-old Japanese female was hospitalized due to swollen cervical lymph nodes. Her lymph node tests revealed paradoxical polymerase chain reaction results. Polymerase chain reaction analysis of two biopsy tissues using the Cobas TaqMan revealed a positive result for Mycobacterium avium and a negative result for Mycobacterium tuberculosis. However, polymerase chain reaction analysis of a cultured colony of acid-fast bacteria from biopsy tissue using the Cobas TaqMan and an alternative polymerase chain reaction analysis of biopsy tissue yielded discordant results. The patient was diagnosed as having tuberculous lymphadenitis. She was treated with antitubercular drugs and subsequently had a reduction in cervical lymph node swelling. Polymerase chain reaction analysis is not 100% accurate; hence, its use as a diagnostic tool for mycobacterial infection requires increased attention.

  3. Markov chain analysis of succession in a rocky subtidal community.

    PubMed

    Hill, M Forrest; Witman, Jon D; Caswell, Hal

    2004-08-01

    We present a Markov chain model of succession in a rocky subtidal community based on a long-term (1986-1994) study of subtidal invertebrates (14 species) at Ammen Rock Pinnacle in the Gulf of Maine. The model describes successional processes (disturbance, colonization, species persistence, and replacement), the equilibrium (stationary) community, and the rate of convergence. We described successional dynamics by species turnover rates, recurrence times, and the entropy of the transition matrix. We used perturbation analysis to quantify the response of diversity to successional rates and species removals. The equilibrium community was dominated by an encrusting sponge (Hymedesmia) and a bryozoan (Crisia eburnea). The equilibrium structure explained 98% of the variance in observed species frequencies. Dominant species have low probabilities of disturbance and high rates of colonization and persistence. On average, species turn over every 3.4 years. Recurrence times varied among species (7-268 years); rare species had the longest recurrence times. The community converged to equilibrium quickly (9.5 years), as measured by Dobrushin's coefficient of ergodicity. The largest changes in evenness would result from removal of the dominant sponge Hymedesmia. Subdominant species appear to increase evenness by slowing the dominance of Hymedesmia. Comparison of the subtidal community with intertidal and coral reef communities revealed that disturbance rates are an order of magnitude higher in coral reef than in rocky intertidal and subtidal communities. Colonization rates and turnover times, however, are lowest and longest in coral reefs, highest and shortest in intertidal communities, and intermediate in subtidal communities.

  4. Applications of the polymerase chain reaction to genome analysis

    SciTech Connect

    Rose, E.A. )

    1991-01-01

    The objectives of the Human Genome Project are to create high-resolution genetic and physical maps, and ultimately to determine the complete nucleotide sequence of the human genome. The result of this initiative will be to localize the estimated 50,000-100,000 human genes, and acquire information that will enable development of a better understanding of the relationship between genome structure and function. To achieve these goals, new methodologies that provide more rapid, efficient, and cost effective means of genomic analysis will be required. From both conceptual and practical perspectives, the polymerase chain reaction (PCR) represents a fundamental technology for genome mapping and sequencing. The availability of PCR has allowed definition of a technically credible form that the final composite map of the human genome will take, as described in the sequence-tagged site proposal. Moreover, applications of PCR have provided efficient approaches for identifying, isolating, mapping, and sequencing DNA, many of which are amenable to automation. The versatility and power provided by PCR have encouraged its involvement in almost every aspect of human genome research, with new applications of PCR being developed on a continual basis.

  5. Causal chain analysis and root causes: the GIWA approach.

    PubMed

    Belausteguigoitia, Juan Carlos

    2004-02-01

    The Global International Waters Assessment (GIWA) was created to help develop a priority setting mechanism for actions in international waters. Apart from assessing the severity of environmental problems in ecosystems, the GIWA's task is to analyze potential policy actions that could solve or mitigate these problems. Given the complex nature of the problems, understanding their root causes is essential to develop effective solutions. The GIWA provides a framework to analyze these causes, which is based on identifying the factors that shape human behavior in relation to the use (direct or indirect) of aquatic resources. Two sets of factors are analyzed. The first one consists of social coordination mechanisms (institutions). Faults in these mechanisms lead to wasteful use of resources. The second consists of factors that do not cause wasteful use of resources per se (poverty, trade, demographic growth, technology), but expose and magnify the faults of the first group of factors. The picture that comes out is that diagnosing simple generic causes, e.g. poverty or trade, without analyzing the case specific ways in which the root causes act and interact to degrade the environment, will likely ignore important links that may put the effectiveness of the recommended policies at risk. A summary of the causal chain analysis for the Colorado River Delta is provided as an example.

  6. Chain of events analysis for a scuba diving fatality.

    PubMed

    Lippmann, John; Stevenson, Christopher; McD Taylor, David; Williams, Jo; Mohebbi, Mohammadreza

    2017-09-01

    A scuba diving fatality usually involves a series of related events culminating in death. Several studies have utilised a chain of events-type analysis (CEA) to isolate and better understand the accident sequence in order to facilitate the creation of relevant countermeasures. The aim of this research was to further develop and better define a process for performing a CEA to reduce potential subjectivity and increase consistency between analysts. To develop more comprehensive and better-defined criteria, existing criteria were modified and a template was created and tested using a CEA. Modifications comprised addition of a category for pre-disposing factors, expansion of criteria for the triggers and disabling agents present during the incident, and more specific inclusion criteria to better encompass a dataset of 56 fatalities. Four investigators (raters) used both the previous criteria and this template, in randomly assigned order, to examine a sample of 13 scuba diver deaths. Individual results were scored against the group consensus for the CEA. Raters' agreement consistency was compared using the Index of Concordance and intra-class correlation coefficients (ICC). The template is presented. The index of concordance between the raters increased from 62% (194⁄312) using the previous criteria to 82% (257⁄312) with use of this template indicating a substantially higher inter-rater agreement when allocating criteria. The agreement in scoring with and without template use was also quantified by ICC which were generally graded as low, illustrating a substantial change in consistency of scoring before and after template use. The template for a CEA for a scuba diving fatality improves consistency of interpretation between users and may improve comparability of diving fatality reports.

  7. Analysis of Magnetosome Chains in Magnetotactic Bacteria by Magnetic Measurements and Automated Image Analysis of Electron Micrographs

    PubMed Central

    Katzmann, E.; Eibauer, M.; Lin, W.; Pan, Y.; Plitzko, J. M.

    2013-01-01

    Magnetotactic bacteria (MTB) align along the Earth's magnetic field by the activity of intracellular magnetosomes, which are membrane-enveloped magnetite or greigite particles that are assembled into well-ordered chains. Formation of magnetosome chains was found to be controlled by a set of specific proteins in Magnetospirillum gryphiswaldense and other MTB. However, the contribution of abiotic factors on magnetosome chain assembly has not been fully explored. Here, we first analyzed the effect of growth conditions on magnetosome chain formation in M. gryphiswaldense by electron microscopy. Whereas higher temperatures (30 to 35°C) and high oxygen concentrations caused increasingly disordered chains and smaller magnetite crystals, growth at 20°C and anoxic conditions resulted in long chains with mature cuboctahedron-shaped crystals. In order to analyze the magnetosome chain in electron microscopy data sets in a more quantitative and unbiased manner, we developed a computerized image analysis algorithm. The collected data comprised the cell dimensions and particle size and number as well as the intracellular position and extension of the magnetosome chain. The chain analysis program (CHAP) was used to evaluate the effects of the genetic and growth conditions on magnetosome chain formation. This was compared and correlated to data obtained from bulk magnetic measurements of wild-type (WT) and mutant cells displaying different chain configurations. These techniques were used to differentiate mutants due to magnetosome chain defects on a bulk scale. PMID:24096429

  8. Analysis of magnetosome chains in magnetotactic bacteria by magnetic measurements and automated image analysis of electron micrographs.

    PubMed

    Katzmann, E; Eibauer, M; Lin, W; Pan, Y; Plitzko, J M; Schüler, D

    2013-12-01

    Magnetotactic bacteria (MTB) align along the Earth's magnetic field by the activity of intracellular magnetosomes, which are membrane-enveloped magnetite or greigite particles that are assembled into well-ordered chains. Formation of magnetosome chains was found to be controlled by a set of specific proteins in Magnetospirillum gryphiswaldense and other MTB. However, the contribution of abiotic factors on magnetosome chain assembly has not been fully explored. Here, we first analyzed the effect of growth conditions on magnetosome chain formation in M. gryphiswaldense by electron microscopy. Whereas higher temperatures (30 to 35°C) and high oxygen concentrations caused increasingly disordered chains and smaller magnetite crystals, growth at 20°C and anoxic conditions resulted in long chains with mature cuboctahedron-shaped crystals. In order to analyze the magnetosome chain in electron microscopy data sets in a more quantitative and unbiased manner, we developed a computerized image analysis algorithm. The collected data comprised the cell dimensions and particle size and number as well as the intracellular position and extension of the magnetosome chain. The chain analysis program (CHAP) was used to evaluate the effects of the genetic and growth conditions on magnetosome chain formation. This was compared and correlated to data obtained from bulk magnetic measurements of wild-type (WT) and mutant cells displaying different chain configurations. These techniques were used to differentiate mutants due to magnetosome chain defects on a bulk scale.

  9. Chemical supply chain modeling for analysis of homeland security events

    SciTech Connect

    Ehlen, Mark A.; Sun, Amy C.; Pepple, Mark A.; Eidson, Eric D.; Jones, Brian S.

    2013-09-06

    The potential impacts of man-made and natural disasters on chemical plants, complexes, and supply chains are of great importance to homeland security. To be able to estimate these impacts, we developed an agent-based chemical supply chain model that includes: chemical plants with enterprise operations such as purchasing, production scheduling, and inventories; merchant chemical markets, and multi-modal chemical shipments. Large-scale simulations of chemical-plant activities and supply chain interactions, running on desktop computers, are used to estimate the scope and duration of disruptive-event impacts, and overall system resilience, based on the extent to which individual chemical plants can adjust their internal operations (e.g., production mixes and levels) versus their external interactions (market sales and purchases, and transportation routes and modes). As a result, to illustrate how the model estimates the impacts of a hurricane disruption, a simple example model centered on 1,4-butanediol is presented.

  10. Global Carbon Fiber Composites. Supply Chain Competitiveness Analysis

    SciTech Connect

    Das, Sujit; Warren, Joshua A.; West, Devin; Schexnayder, Susan M.

    2016-05-01

    The objective of this study is to identify key opportunities in the carbon fiber (CF) supply chain where resources and investments can help advance the clean energy economy. The report focuses on four application areas—wind energy, aerospace, automotive, and pressure vessels—that top the list of industries using CF and carbon fiber reinforced polymers (CFRP) and are particularly relevant to the mission of U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy (DOE EERE). For each of the four application areas, the report addresses the supply and demand trends within that sector, supply chain, and costs of carbon fiber and components.

  11. Properties of polyelectrolyte chains from analysis of angular correlation functions

    NASA Astrophysics Data System (ADS)

    Cannavacciuolo, Luigi; Pedersen, Jan Skov

    2002-11-01

    An empirical expression for the angular correlation function (ACF) of charged (Debye-Huckel) wormlike chains (WLC) with excluded volume (EV) is introduced. It reproduces the Monte Carlo (MC) data of a previous study very well. Using this expression analytical calculations for the persistence length (Lp), radius of gyration (Rg), and end-to-end distance (R) are given in the form of Taylor series. It is shown that the above quantities can be expressed as a weighted sum over the corresponding quantities (Lph, Rgh, Rh) of a set of ideal wormlike chains {Ch} h=0,1,ellipsis . Both the set {Ch} and the coefficients in the Taylor expansions are defined as functions of three parameters which are determined by fitting the ACF expression to the MC data. A comparison of the calculated Rg and R shows excellent agreement with the corresponding sampled values. The persistence length Lp is in good agreement with the values determined by fitting the sampled scattering functions by model expressions for neutral chains with excluded volume interactions, provided that a contribution due to EV is subtracted from Lp. Moreover, the method here proposed allows one to determine the persistence length of very short chains which is not possible by fitting the scattering function. The new expression for the angular correlation function, as well as the expressions derived for Rg and R are a natural generalization of well known results for ideal WLC, when EV and/or electrostatic interactions are present.

  12. Rouse Mode Analysis of Chain Relaxation in Polymer Nanocomposites

    PubMed Central

    Kalathi, Jagannathan T.; Rubinstein, Michael; Grest, Gary S.

    2016-01-01

    Large-scale Molecular Dynamics simulations are used to study the internal relaxations of chains in nanoparticle (NP)/polymer composites. We examine the Rouse modes of the chains, a quantity that is closest in spirit to the self-intermediate scattering function, typically determined in an (incoherent) inelastic neutron scattering experiment. Our simulations show that for weakly interacting mixtures of NPs and polymers, the effective monomeric relaxation rates are faster than in a neat melt when the NPs are smaller than the entanglement mesh size. In this case, the NPs serve to reduce both the monomeric friction and the entanglements in the polymer melt, as in the case of a polymer-solvent system. However, for NPs larger than half the entanglement mesh size, effective monomer relaxation is essentially unaffected for low NP concentrations. Even in this case, we observe a strong reduction in chain entanglements for larger NP loadings. Thus, the role of NPs is to always reduce the number of entanglements, with this effect only becoming pronounced for small NPs or for high concentrations of large NPs. Our studies of the relaxation of single chains resonate with recent neutron spin echo (NSE) experiments, which deduce a similar entanglement dilution effect. PMID:25939276

  13. Rouse mode analysis of chain relaxation in polymer nanocomposites

    DOE PAGES

    Kalathi, Jagannathan T.; Kumar, Sanat K.; Rubinstein, Michael; ...

    2015-04-20

    Large-scale molecular dynamics simulations are used to study the internal relaxations of chains in nanoparticle (NP)/polymer composites. In this paper, we examine the Rouse modes of the chains, a quantity that is closest in spirit to the self-intermediate scattering function, typically determined in an (incoherent) inelastic neutron scattering experiment. Our simulations show that for weakly interacting mixtures of NPs and polymers, the effective monomeric relaxation rates are faster than in a neat melt when the NPs are smaller than the entanglement mesh size. In this case, the NPs serve to reduce both the monomeric friction and the entanglements in themore » polymer melt, as in the case of a polymer–solvent system. However, for NPs larger than half the entanglement mesh size, the effective monomer relaxation is essentially unaffected for low NP concentrations. Even in this case, we observe a strong reduction in chain entanglements for larger NP loadings. Furthermore, the role of NPs is to always reduce the number of entanglements, with this effect only becoming pronounced for small NPs or for high concentrations of large NPs. Finally, our studies of the relaxation of single chains resonate with recent neutron spin echo (NSE) experiments, which deduce a similar entanglement dilution effect.« less

  14. Rouse mode analysis of chain relaxation in polymer nanocomposites

    DOE PAGES

    Kalathi, Jagannathan T.; Kumar, Sanat K.; Rubinstein, Michael; ...

    2015-04-20

    Large-scale molecular dynamics simulations are used to study the internal relaxations of chains in nanoparticle (NP)/polymer composites. We examine the Rouse modes of the chains, a quantity that is closest in spirit to the self-intermediate scattering function, typically determined in an (incoherent) inelastic neutron scattering experiment. Our simulations show that for weakly interacting mixtures of NPs and polymers, the effective monomeric relaxation rates are faster than in a neat melt when the NPs are smaller than the entanglement mesh size. In this case, the NPs serve to reduce both the monomeric friction and the entanglements in the polymer melt, asmore » in the case of a polymer–solvent system. However, for NPs larger than half the entanglement mesh size, the effective monomer relaxation is essentially unaffected for low NP concentrations. Even in this case, we observe a strong reduction in chain entanglements for larger NP loadings. Furthermore, the role of NPs is to always reduce the number of entanglements, with this effect only becoming pronounced for small NPs or for high concentrations of large NPs. Our studies of the relaxation of single chains resonate with recent neutron spin echo (NSE) experiments, which deduce a similar entanglement dilution effect.« less

  15. Rouse mode analysis of chain relaxation in polymer nanocomposites

    SciTech Connect

    Kalathi, Jagannathan T.; Kumar, Sanat K.; Rubinstein, Michael; Grest, Gary S.

    2015-04-20

    Large-scale molecular dynamics simulations are used to study the internal relaxations of chains in nanoparticle (NP)/polymer composites. We examine the Rouse modes of the chains, a quantity that is closest in spirit to the self-intermediate scattering function, typically determined in an (incoherent) inelastic neutron scattering experiment. Our simulations show that for weakly interacting mixtures of NPs and polymers, the effective monomeric relaxation rates are faster than in a neat melt when the NPs are smaller than the entanglement mesh size. In this case, the NPs serve to reduce both the monomeric friction and the entanglements in the polymer melt, as in the case of a polymer–solvent system. However, for NPs larger than half the entanglement mesh size, the effective monomer relaxation is essentially unaffected for low NP concentrations. Even in this case, we observe a strong reduction in chain entanglements for larger NP loadings. Furthermore, the role of NPs is to always reduce the number of entanglements, with this effect only becoming pronounced for small NPs or for high concentrations of large NPs. Our studies of the relaxation of single chains resonate with recent neutron spin echo (NSE) experiments, which deduce a similar entanglement dilution effect.

  16. Rouse mode analysis of chain relaxation in polymer nanocomposites

    SciTech Connect

    Kalathi, Jagannathan T.; Kumar, Sanat K.; Rubinstein, Michael; Grest, Gary S.

    2015-04-20

    Large-scale molecular dynamics simulations are used to study the internal relaxations of chains in nanoparticle (NP)/polymer composites. In this paper, we examine the Rouse modes of the chains, a quantity that is closest in spirit to the self-intermediate scattering function, typically determined in an (incoherent) inelastic neutron scattering experiment. Our simulations show that for weakly interacting mixtures of NPs and polymers, the effective monomeric relaxation rates are faster than in a neat melt when the NPs are smaller than the entanglement mesh size. In this case, the NPs serve to reduce both the monomeric friction and the entanglements in the polymer melt, as in the case of a polymer–solvent system. However, for NPs larger than half the entanglement mesh size, the effective monomer relaxation is essentially unaffected for low NP concentrations. Even in this case, we observe a strong reduction in chain entanglements for larger NP loadings. Furthermore, the role of NPs is to always reduce the number of entanglements, with this effect only becoming pronounced for small NPs or for high concentrations of large NPs. Finally, our studies of the relaxation of single chains resonate with recent neutron spin echo (NSE) experiments, which deduce a similar entanglement dilution effect.

  17. Chemical supply chain modeling for analysis of homeland security events

    DOE PAGES

    Ehlen, Mark A.; Sun, Amy C.; Pepple, Mark A.; ...

    2013-09-06

    The potential impacts of man-made and natural disasters on chemical plants, complexes, and supply chains are of great importance to homeland security. To be able to estimate these impacts, we developed an agent-based chemical supply chain model that includes: chemical plants with enterprise operations such as purchasing, production scheduling, and inventories; merchant chemical markets, and multi-modal chemical shipments. Large-scale simulations of chemical-plant activities and supply chain interactions, running on desktop computers, are used to estimate the scope and duration of disruptive-event impacts, and overall system resilience, based on the extent to which individual chemical plants can adjust their internal operationsmore » (e.g., production mixes and levels) versus their external interactions (market sales and purchases, and transportation routes and modes). As a result, to illustrate how the model estimates the impacts of a hurricane disruption, a simple example model centered on 1,4-butanediol is presented.« less

  18. Simulation and analysis chain for acoustic ultra-high energy neutrino detectors in water

    NASA Astrophysics Data System (ADS)

    Neff, M.; Anton, G.; Enzenhöfer, A.; Graf, K.; Hößl, J.; Katz, U.; Lahmann, R.; Sieger, C.

    2013-05-01

    Acoustic neutrino detection is a promising approach for large-scale ultra-high energy neutrino detectors in water. In this article, a Monte Carlo simulation chain for acoustic neutrino detection devices in water will be presented. The simulation chain covers the generation of the acoustic pulse produced by a neutrino interaction and its propagation to the sensors within the detector. Currently, ambient and transient noise models for the Mediterranean Sea and simulations of the data acquisition hardware, equivalent to the one used in ANTARES/AMADEUS, are implemented. A pre-selection scheme for neutrino-like signals based on matched filtering is employed, as it is used for on-line filtering. To simulate the whole processing chain for experimental data, signal classification and acoustic source reconstruction algorithms are integrated in an analysis chain. An overview of design and capabilities of the simulation and analysis chain will be presented and preliminary studies will be discussed.

  19. OTU Deubiquitinases Reveal Mechanisms of Linkage Specificity and Enable Ubiquitin Chain Restriction Analysis

    PubMed Central

    Mevissen, Tycho E.T.; Hospenthal, Manuela K.; Geurink, Paul P.; Elliott, Paul R.; Akutsu, Masato; Arnaudo, Nadia; Ekkebus, Reggy; Kulathu, Yogesh; Wauer, Tobias; El Oualid, Farid; Freund, Stefan M.V.; Ovaa, Huib; Komander, David

    2013-01-01

    Summary Sixteen ovarian tumor (OTU) family deubiquitinases (DUBs) exist in humans, and most members regulate cell-signaling cascades. Several OTU DUBs were reported to be ubiquitin (Ub) chain linkage specific, but comprehensive analyses are missing, and the underlying mechanisms of linkage specificity are unclear. Using Ub chains of all eight linkage types, we reveal that most human OTU enzymes are linkage specific, preferring one, two, or a defined subset of linkage types, including unstudied atypical Ub chains. Biochemical analysis and five crystal structures of OTU DUBs with or without Ub substrates reveal four mechanisms of linkage specificity. Additional Ub-binding domains, the ubiquitinated sequence in the substrate, and defined S1’ and S2 Ub-binding sites on the OTU domain enable OTU DUBs to distinguish linkage types. We introduce Ub chain restriction analysis, in which OTU DUBs are used as restriction enzymes to reveal linkage type and the relative abundance of Ub chains on substrates. PMID:23827681

  20. Nested polymerase chain reaction amplification and sequencing analysis of the light-chain and heavy-chain variable regions in the influenza A H1N1 virus hemagglutinin monoclonal antibody gene.

    PubMed

    Li, H J; Guo, C Y; Sun, J Y; Sun, L J; Zhao, P H; Hu, L; Li, Y; Hu, J

    2014-06-11

    The nested polymerase chain reaction (PCR) method was used for the amplification of the influenza A H1N1 virus hemagglutinin monoclonal antibody light-chain and heavy-chain genes. Sequence analysis of the obtained genes was then used to identify common cloning methods of the mouse immunoglobulin-kappa (Igκ) light-chain and heavy-chain variable gene regions. Twenty-two pairs of amplification primers for the mouse Igκ light-chain and heavy-chain variable gene regions were designed, and 6 mouse anti-human H1N1 influenza virus hemagglutinin monoclonal antibody light-chain and heavy-chain variable gene regions were cloned and sequenced. Comparative analysis was conducted between our results and the mouse Ig sequences published in the National Center of Biotechnology Information (NCBI). The nested PCR method effectively avoided cloning the pseudogenes of the monoclonal antibody, and the amino acid sequence obtained was consistent with the characteristics of the mouse Ig variable region. A general method of cloning the mouse Ig light-chain and heavy-chain variable gene regions was established, which provides a basis for further cloning of mouse monoclonal antibody variable gene regions. This study also provides data for further studies of H1N1 influenza virus hemagglutinin antibody binding sites.

  1. Kinematic performance analysis of a parallel-chain hexapod machine

    SciTech Connect

    Jing Song; Jong-I Mou; Calvin King

    1998-05-18

    Inverse and forward kinematic models were derived to analyze the performance of a parallel-chain hexapod machine. Analytical models were constructed for both ideal and real structures. Performance assessment and enhancement algorithms were developed to determine the strut lengths for both ideal and real structures. The strut lengths determined from both cases can be used to analyze the effect of structural imperfections on machine performance. In an open-architecture control environment, strut length errors can be fed back to the controller to compensate for the displacement errors and thus improve the machine's accuracy in production.

  2. Theory analysis of mass spectra of long-chain isocyanates.

    PubMed

    Liu, Dongliang; Hao, Ce; Zhang, Hua; Qiao, Weihong; Li, Zongshi; Yu, Guanghui; Yan, Kelu; Guo, Yuliang; Cheng, Lvbo

    2008-07-01

    Electron impact mass spectra of four long-chain isocyanates, lauryl isocyanate, tetradecyl isocyanate, hexadecyl isocyanate and octadecyl isocyanate, were obtained with a GCT high-resolution time-of-flight mass spectrometer. The four isocyanates studied gave a common base peak of m/z 99, which suggested the formation of a stable six-membered ring structure to decentralize the positive charge. Quantum-mechanical energy calculation justified that the six-membered ring base peak had the lowest energy. The positive charge assigned during the fragmentation of the radical cation, and the relative intensity of the fragment ion peaks, were explained by quantum-mechanical calculations as well.

  3. Mathematical supply-chain modelling: Product analysis of cost and time

    NASA Astrophysics Data System (ADS)

    Easters, D. J.

    2014-03-01

    Establishing a mathematical supply-chain model is a proposition that has received attention due to its inherent benefits of evolving global supply-chain efficiencies. This paper discusses the prevailing relationships found within apparel supply-chain environments, and contemplates the complex issues indicated for constituting a mathematical model. Principal results identified within the data suggest, that the multifarious nature of global supply-chain activities require a degree of simplification in order to fully dilate the necessary factors which affect, each sub-section of the chain. Subsequently, the research findings allowed the division of supply-chain components into sub-sections, which amassed a coherent method of product development activity. Concurrently, the supply-chain model was found to allow systematic mathematical formulae analysis, of cost and time, within the multiple contexts of each subsection encountered. The paper indicates the supply-chain model structure, the mathematics, and considers how product analysis of cost and time can improve the comprehension of product lifecycle management.

  4. Short-Chain Polysaccharide Analysis in Ethanol-Water Solutions.

    PubMed

    Yan, Xun

    2017-03-01

    This study demonstrates that short-chain polysaccharides, or oligosaccharides, could be sufficiently separated with hydrophilic interaction LC (HILIC) conditions and quantified by evaporative light-scattering detection (ELSD). The multianalyte calibration approach improved the efficiency of calibrating the nonlinear detector response. The method allowed easy quantification of short-chain carbohydrates. Using the HILIC method, the oligosaccharide solubility and its profile in water/alcohol solutions at room temperature were able to be quantified. The results showed that the polysaccharide solubility in ethanol–water solutions decreased as ethanol content increased. The results also showed oligosaccharides to have minimal solubility in pure ethanol. In a saturated maltodextrin ethanol (80%) solution, oligosaccharide components with a degree of polymerization >12 were practically insoluble and contributed less than 0.2% to the total solute dry weight. The HILIC–ELSD method allows for the identification and quantification of low-MW carbohydrates individually and served as an alternative method to current gel permeation chromatography procedures.

  5. A BENCHMARKING ANALYSIS FOR FIVE RADIONUCLIDE VADOSE ZONE MODELS (CHAIN, MULTIMED_DP, FECTUZ, HYDRUS, AND CHAIN 2D) IN SOIL SCREENING LEVEL CALCULATIONS

    EPA Science Inventory

    Five radionuclide vadose zone models with different degrees of complexity (CHAIN, MULTIMED_DP, FECTUZ, HYDRUS, and CHAIN 2D) were selected for use in soil screening level (SSL) calculations. A benchmarking analysis between the models was conducted for a radionuclide (99Tc) rele...

  6. A BENCHMARKING ANALYSIS FOR FIVE RADIONUCLIDE VADOSE ZONE MODELS (CHAIN, MULTIMED_DP, FECTUZ, HYDRUS, AND CHAIN 2D) IN SOIL SCREENING LEVEL CALCULATIONS

    EPA Science Inventory

    Five radionuclide vadose zone models with different degrees of complexity (CHAIN, MULTIMED_DP, FECTUZ, HYDRUS, and CHAIN 2D) were selected for use in soil screening level (SSL) calculations. A benchmarking analysis between the models was conducted for a radionuclide (99Tc) rele...

  7. Respiratory chain analysis of skin fibroblasts in mitochondrial disease.

    PubMed

    Cameron, Jessie M; Levandovskiy, Valeriy; MacKay, Neviana; Robinson, Brian H

    2004-09-01

    NADH:ubiquinone dehydrogenase (complex I) deficiency can be diagnosed from cultured skin fibroblasts using a number of methods, the most commonly used is a linked assay of rotenone-sensitive complex I + III activity (NADH:cytochrome c reductase). Because of interference from diaphorases, this method requires either the isolation of mitochondria (or at least partial purification). For a suitable mitochondrial preparation from skin fibroblasts, this requires the culturing of 4-20 individual 100mm tissue culture plates, depending on the purity of preparation required. These assays are therefore time-consuming, and do not assist in a rapid diagnosis. There is also no clear demarkation between the normal range of activity and the deficient range since mild mutations can produce only partial decreases in complex I activity. Equally, assaying patient cells that do not have a specific deficiency may prove to be time-wasting in the process of providing a quick, definitive clinical diagnosis. The lactate/pyruvate ratio of fibroblasts has been used to indicate the extent of respiratory chain involvement, as cells with a metabolic defect usually produce more lactate with an increased ratio from 25:1 to much higher values [Methods Enzymol. 264 (1996) 454]. This measurement may not always be conclusive, as the values can fluctuate as a result of culture medium, cell passage number, cell number and viability. In this report, we evaluate the use of pyruvate oxidation measurements from whole cells prepared from a single plate of cultured fibroblasts as an alternative to lactate/pyruvate ratios, or other methods both direct and indirect as indicators of the extent of respiratory chain involvement and the possibility of a defect within complex I. Whole cell 2-14C pyruvate oxidation appears to indicate the presence of a complex I defect in patients compared to normal controls more reliably than L/P ratios, but this has some puzzling exceptions.

  8. Opportunities and Challenges in the Design and Analysis of Biomass Supply Chains

    SciTech Connect

    Lautala, Pasi T.; Hilliard, Michael R.; Webb, Erin; Busch, Ingrid; Richard Hess, J.; Roni, Mohammad S.; Hilbert, Jorge; Handler, Robert M.; Bittencourt, Roger; Valente, Amir; Laitinen, Tuuli

    2015-06-30

    The biomass supply chain is one of the most critical elements of large-scale bioenergy production and in many cases a key barrier for procuring initial funding for new developments on specific energy crops. Most productions rely on complex transforming chains linked to feed and food markets. The term 'supply chain' covers various aspects from cultivation and harvesting of the biomass, to treatment, transportation, and storage. After energy conversion, the product must be delivered to final consumption, whether it is in the form of electricity, heat, or more tangible products, such as pellets and biofuels. Effective supply chains are of utmost importance for bioenergy production, as biomass tends to possess challenging seasonal production cycles and low mass, energy and bulk densities. Additionally, the demand for final products is often also dispersed, further complicating the supply chain. The goal of this paper is to introduce key components of biomass supply chains, examples of related modeling applications, and if/how they address aspects related to environmental metrics and management. The paper will introduce a concept of integrated supply systems for sustainable biomass trade and the factors influencing the bioenergy supply chain landscape, including models that can be used to investigate the factors. Our paper will also cover various aspects of transportation logistics, ranging from alternative modal and multi-modal alternatives to introduction of support tools for transportation analysis. Lastly, gaps and challenges in supply chain research are identified and used to outline research recommendations for the future direction in this area of study.

  9. Opportunities and Challenges in the Design and Analysis of Biomass Supply Chains.

    PubMed

    Lautala, Pasi T; Hilliard, Michael R; Webb, Erin; Busch, Ingrid; Richard Hess, J; Roni, Mohammad S; Hilbert, Jorge; Handler, Robert M; Bittencourt, Roger; Valente, Amir; Laitinen, Tuuli

    2015-12-01

    The biomass supply chain is one of the most critical elements of large-scale bioenergy production and in many cases a key barrier for procuring initial funding for new developments on specific energy crops. Most productions rely on complex transforming chains linked to feed and food markets. The term 'supply chain' covers various aspects from cultivation and harvesting of the biomass, to treatment, transportation, and storage. After energy conversion, the product must be delivered to final consumption, whether it is in the form of electricity, heat, or more tangible products, such as pellets and biofuels. Effective supply chains are of utmost importance for bioenergy production, as biomass tends to possess challenging seasonal production cycles and low mass, energy and bulk densities. Additionally, the demand for final products is often also dispersed, further complicating the supply chain. The goal of this paper is to introduce key components of biomass supply chains, examples of related modeling applications, and if/how they address aspects related to environmental metrics and management. The paper will introduce a concept of integrated supply systems for sustainable biomass trade and the factors influencing the bioenergy supply chain landscape, including models that can be used to investigate the factors. The paper will also cover various aspects of transportation logistics, ranging from alternative modal and multi-modal alternatives to introduction of support tools for transportation analysis. Finally gaps and challenges in supply chain research are identified and used to outline research recommendations for the future direction in this area of study.

  10. Opportunities and Challenges in the Design and Analysis of Biomass Supply Chains

    NASA Astrophysics Data System (ADS)

    Lautala, Pasi T.; Hilliard, Michael R.; Webb, Erin; Busch, Ingrid; Richard Hess, J.; Roni, Mohammad S.; Hilbert, Jorge; Handler, Robert M.; Bittencourt, Roger; Valente, Amir; Laitinen, Tuuli

    2015-12-01

    The biomass supply chain is one of the most critical elements of large-scale bioenergy production and in many cases a key barrier for procuring initial funding for new developments on specific energy crops. Most productions rely on complex transforming chains linked to feed and food markets. The term `supply chain' covers various aspects from cultivation and harvesting of the biomass, to treatment, transportation, and storage. After energy conversion, the product must be delivered to final consumption, whether it is in the form of electricity, heat, or more tangible products, such as pellets and biofuels. Effective supply chains are of utmost importance for bioenergy production, as biomass tends to possess challenging seasonal production cycles and low mass, energy and bulk densities. Additionally, the demand for final products is often also dispersed, further complicating the supply chain. The goal of this paper is to introduce key components of biomass supply chains, examples of related modeling applications, and if/how they address aspects related to environmental metrics and management. The paper will introduce a concept of integrated supply systems for sustainable biomass trade and the factors influencing the bioenergy supply chain landscape, including models that can be used to investigate the factors. The paper will also cover various aspects of transportation logistics, ranging from alternative modal and multi-modal alternatives to introduction of support tools for transportation analysis. Finally gaps and challenges in supply chain research are identified and used to outline research recommendations for the future direction in this area of study.

  11. Free vibration analysis of linear particle chain impact damper

    NASA Astrophysics Data System (ADS)

    Gharib, Mohamed; Ghani, Saud

    2013-11-01

    Impact dampers have gained much research interest over the past decades that resulted in several analytical and experimental studies being conducted in that area. The main emphasis of such research was on developing and enhancing these popular passive control devices with an objective of decreasing the three parameters of contact forces, accelerations, and noise levels. To that end, the authors of this paper have developed a novel impact damper, called the Linear Particle Chain (LPC) impact damper, which mainly consists of a linear chain of spherical balls of varying sizes. The LPC impact damper was designed utilizing the kinetic energy of the primary system through placing, in the chain arrangement, a small-sized ball between each two large-sized balls. The concept of the LPC impact damper revolves around causing the small-sized ball to collide multiple times with the larger ones upon exciting the primary system. This action is believed to lead to the dissipation of part of the kinetic energy at each collision with the large balls. This paper focuses on the outcome of studying the free vibration of a single degree freedom system that is equipped with the LPC impact damper. The proposed LPC impact damper is validated by means of comparing the responses of a single unit conventional impact damper with those resulting from the LPC impact damper. The results indicated that the latter is considerably more efficient than the former impact damper. In order to further investigate the LPC impact damper effective number of balls and efficient geometry when used in a specific available space in the primary system, a parametric study was conducted and its result is also explained herein. Single unit impact damper [14-16]. Multiunit impact damper [17,18]. Bean bag impact damper [19,20]. Particle/granular impact damper [21,23,22]. Resilient impact damper [24]. Buffered impact damper [25-27]. Multiunit impact damper consists of multiple masses instead of a single mass. This

  12. Analysis of a closed-kinematic chain robot manipulator

    NASA Technical Reports Server (NTRS)

    Nguyen, Charles C.; Pooran, Farhad J.

    1988-01-01

    Presented are the research results from the research grant entitled: Active Control of Robot Manipulators, sponsored by the Goddard Space Flight Center (NASA) under grant number NAG-780. This report considers a class of robot manipulators based on the closed-kinematic chain mechanism (CKCM). This type of robot manipulators mainly consists of two platforms, one is stationary and the other moving, and they are coupled together through a number of in-parallel actuators. Using spatial geometry and homogeneous transformation, a closed-form solution is derived for the inverse kinematic problem of the six-degree-of-freedom manipulator, built to study robotic assembly in space. Iterative Newton Raphson method is employed to solve the forward kinematic problem. Finally, the equations of motion of the above manipulators are obtained by employing the Lagrangian method. Study of the manipulator dynamics is performed using computer simulation whose results show that the robot actuating forces are strongly dependent on the mass and centroid locations of the robot links.

  13. Functional Analysis of a Mosquito Short Chain Dehydrogenase Cluster

    PubMed Central

    Mayoral, Jaime G.; Leonard, Kate T.; Defelipe, Lucas A.; Turjansksi, Adrian G.; Nouzova, Marcela; Noriegal, Fernando G.

    2013-01-01

    The short chain dehydrogenases (SDR) constitute one the oldest and largest families of enzymes with over 46,000 members in sequence databases. About 25% of all known dehydrogenases belong to the SDR family. SDR enzymes have critical roles in lipid, amino acid, carbohydrate, hormone and xenobiotic metabolism as well as in redox sensor mechanisms. This family is present in archaea, bacteria, and eukaryota, emphasizing their versatility and fundamental importance for metabolic processes. We identified a cluster of eight SDRs in the mosquito Aedes aegypti (AaSDRs). Members of the cluster differ in tissue specificity and developmental expression. Heterologous expression produced recombinant proteins that had diverse substrate specificities, but distinct from the conventional insect alcohol (ethanol) dehydrogenases. They are all NADP+-dependent and they have S-enantioselectivity and preference for secondary alcohols with 8–15 carbons. Homology modeling was used to build the structure of AaSDR1 and two additional cluster members. The computational study helped explain the selectivity towards the (10S)-isomers as well as the reduced activity of AaSDR4 and AaSDR9 for longer isoprenoid substrates. Similar clusters of SDRs are present in other species of insects, suggesting similar selection mechanisms causing duplication and diversification of this family of enzymes. PMID:23238893

  14. Kinematic and dynamic modeling and approximate analysis of a roller chain drive

    NASA Astrophysics Data System (ADS)

    Fuglede, Niels; Thomsen, Jon Juel

    2016-03-01

    A simple roller chain drive consisting of two sprockets connected by tight chain spans is investigated. First, a kinematic model is presented which include both spans and sprockets. An approach for calculating the chain wrapping length is presented, which also allows for the exact calculation of sprocket center positions for a given chain length. The kinematic analysis demonstrates that the total length of the chain wrapped around the sprockets generally varies during one tooth period. Analytical predictions for the wrapping length are compared to multibody simulation results and show very good agreement. It is thereby demonstrated that chain drives with tight chain spans must include compliant components to function. Second, a dynamic model is presented which includes the two spans and the driven sprocket. Assuming the presence of a stationary operating state, the presented dynamic model allows for analytical studies of the coupled motion of the chain spans and driven sprocket. Parametric excitation of the spans come from sprocket angular displacements, and the driven sprocket acts as a boundary which can be compliant in the axial direction. External transverse excitation of the spans comes from polygonal action, and is treated through kinematic forcing at the moving string boundaries. Perturbation analysis of the model is carried out using the method of multiple scales. Results show a multitude of internal and external resonance conditions, and some examples are presented of both decoupled and coupled motion. Together, the kinematic and dynamic model are aimed toward providing a framework for conducting and understanding both numerical, and experimental investigations of roller chain drive dynamics.

  15. Markov chains and semi-Markov models in time-to-event analysis

    PubMed Central

    Abner, Erin L.; Charnigo, Richard J.; Kryscio, Richard J.

    2014-01-01

    A variety of statistical methods are available to investigators for analysis of time-to-event data, often referred to as survival analysis. Kaplan-Meier estimation and Cox proportional hazards regression are commonly employed tools but are not appropriate for all studies, particularly in the presence of competing risks and when multiple or recurrent outcomes are of interest. Markov chain models can accommodate censored data, competing risks (informative censoring), multiple outcomes, recurrent outcomes, frailty, and non-constant survival probabilities. Markov chain models, though often overlooked by investigators in time-to-event analysis, have long been used in clinical studies and have widespread application in other fields. PMID:24818062

  16. A Markov Chain Monte Carlo Approach to Confirmatory Item Factor Analysis

    ERIC Educational Resources Information Center

    Edwards, Michael C.

    2010-01-01

    Item factor analysis has a rich tradition in both the structural equation modeling and item response theory frameworks. The goal of this paper is to demonstrate a novel combination of various Markov chain Monte Carlo (MCMC) estimation routines to estimate parameters of a wide variety of confirmatory item factor analysis models. Further, I show…

  17. Detection and analysis of polymerase chain reaction products by mass spectrometry

    SciTech Connect

    Hurst, G.B., Doktycz, M.J., Britt, P.F., Vass, A.A., Buchanan, M.V.

    1997-02-01

    This paper describes recent and ongoing efforts to overcome some of the obstacles to more routine and robust application of MALDI-TOF to analysis of polymerase chain reaction products and other information- bearing nucleic acid molecules. Methods for purifying nucleic acid samples are described, as is the application of delayed extraction TOF mass spectrometry to analysis of short oligonucleotides.

  18. Functional analysis of the human neurofilament light chain gene promoter.

    PubMed Central

    Yazdanbakhsh, K; Fraser, P; Kioussis, D; Vidal, M; Grosveld, F; Lindenbaum, M

    1993-01-01

    We have carried out a structural and functional analysis on the human NF-L (H-NF-L) gene. It contains a methylation-free island, spanning the 5' flanking sequences and the first exon and a number of neuronal-specific DNase I hypersensitive sites have been identified in the upstream region as well as within the body of the gene. Analysis in cell lines and transgenic mice using a combination of these sites has revealed the presence of a conserved element(s) between -300bp and -190bp which is required for neuronal-specific expression. Images PMID:8441658

  19. Supply chain analysis of e-tailing versus retailing operation - a case study

    NASA Astrophysics Data System (ADS)

    Kumar, Sameer; Tiffany, Maryellen; Vaidya, Salil

    2016-07-01

    The swift growth of e-commerce or e-tailing as a consumer retail channel has made it a serious competitor to traditional retail channels and is changing consumers' purchasing behaviour. The purpose of this case study, based on Target and Amazon.com, is to analyse the attributes of traditional retailing, e-tailing, and hybrid supply chain models to form conclusions about the feasibility of an idealised supply chain model for the future. An integrated and generalised modelling framework is used that incorporates Six Sigma - define, measure, analyse, improve, control methodology leveraging various tools, including process flow maps, cause and effect diagram, performance efficiency metrics, failure mode and effects analysis (FMEA), and Monte Carlo simulation. Based on this analysis and research, the conclusion is that the idealised supply chain of the future may evolve into a hybrid supply chain, which includes both e-tail and retail channels. The main recommendations from this study include assessing the risks of migrating to such a hybrid supply chain and to leverage the recommended actions provided in the hybrid FMEA. To facilitate more effective and mature processes, this study can guide researchers in exhaustive empirical evaluations of hybrid supply chains, gather experiences and lessons learned for practitioners.

  20. A quantile-based scenario analysis approach to biomass supply chain optimization under uncertainty

    DOE PAGES

    Zamar, David S.; Gopaluni, Bhushan; Sokhansanj, Shahab; ...

    2016-11-21

    Supply chain optimization for biomass-based power plants is an important research area due to greater emphasis on renewable power energy sources. Biomass supply chain design and operational planning models are often formulated and studied using deterministic mathematical models. While these models are beneficial for making decisions, their applicability to real world problems may be limited because they do not capture all the complexities in the supply chain, including uncertainties in the parameters. This study develops a statistically robust quantile-based approach for stochastic optimization under uncertainty, which builds upon scenario analysis. We apply and evaluate the performance of our approach tomore » address the problem of analyzing competing biomass supply chains subject to stochastic demand and supply. Finally, the proposed approach was found to outperform alternative methods in terms of computational efficiency and ability to meet the stochastic problem requirements.« less

  1. An improved spanning tree approach for the reliability analysis of supply chain collaborative network

    NASA Astrophysics Data System (ADS)

    Lam, C. Y.; Ip, W. H.

    2012-11-01

    A higher degree of reliability in the collaborative network can increase the competitiveness and performance of an entire supply chain. As supply chain networks grow more complex, the consequences of unreliable behaviour become increasingly severe in terms of cost, effort and time. Moreover, it is computationally difficult to calculate the network reliability of a Non-deterministic Polynomial-time hard (NP-hard) all-terminal network using state enumeration, as this may require a huge number of iterations for topology optimisation. Therefore, this paper proposes an alternative approach of an improved spanning tree for reliability analysis to help effectively evaluate and analyse the reliability of collaborative networks in supply chains and reduce the comparative computational complexity of algorithms. Set theory is employed to evaluate and model the all-terminal reliability of the improved spanning tree algorithm and present a case study of a supply chain used in lamp production to illustrate the application of the proposed approach.

  2. A quantile-based scenario analysis approach to biomass supply chain optimization under uncertainty

    SciTech Connect

    Zamar, David S.; Gopaluni, Bhushan; Sokhansanj, Shahab; Newlands, Nathaniel K.

    2016-11-21

    Supply chain optimization for biomass-based power plants is an important research area due to greater emphasis on renewable power energy sources. Biomass supply chain design and operational planning models are often formulated and studied using deterministic mathematical models. While these models are beneficial for making decisions, their applicability to real world problems may be limited because they do not capture all the complexities in the supply chain, including uncertainties in the parameters. This study develops a statistically robust quantile-based approach for stochastic optimization under uncertainty, which builds upon scenario analysis. We apply and evaluate the performance of our approach to address the problem of analyzing competing biomass supply chains subject to stochastic demand and supply. Finally, the proposed approach was found to outperform alternative methods in terms of computational efficiency and ability to meet the stochastic problem requirements.

  3. Price competition and equilibrium analysis in multiple hybrid channel supply chain

    NASA Astrophysics Data System (ADS)

    Kuang, Guihua; Wang, Aihu; Sha, Jin

    2017-06-01

    The amazing boom of Internet and logistics industry prompts more and more enterprises to sell commodity through multiple channels. Such market conditions make the participants of multiple hybrid channel supply chain compete each other in traditional and direct channel at the same time. This paper builds a two-echelon supply chain model with a single manufacturer and a single retailer who both can choose different channel or channel combination for their own sales, then, discusses the price competition and calculates the equilibrium price under different sales channel selection combinations. Our analysis shows that no matter the manufacturer and retailer choose same or different channel price to compete, the equilibrium price does not necessarily exist the equilibrium price in the multiple hybrid channel supply chain and wholesale price change is not always able to coordinate supply chain completely. We also present the sufficient and necessary conditions for the existence of equilibrium price and coordination wholesale price.

  4. Analysis of the sensitivity of a model of terrestrial food chains

    SciTech Connect

    Ganushik, V.; Mitro, A.; Musatova, O.; Sabova, T.

    1985-10-01

    This paper estimates, by means of a sensitivity analysis, the importance of the individual parameters of the model for terrestrial food chains. This method creates the basis for the calculation of the numerical values of the buildup factors of radionuclides in the chain deposited from the atmosphere-the content in food products. The ORB-11 model describes the transportation of radioactive substances through food chains. Several principal food products are considered: wheat, fruits, cucumbers, cabbage, potato, milk, and meat. The coefficient of sensitivity (CS) was computed for each input parameter, radionuclide, contamination route, and given change of input parameter by formula. The data obtained can be used for a stochastic approach to the mnDeling of the transportation of radioactive substances through the food chains, and to the planning of radioecological investigations.

  5. Analysis of liver connexin expression using reverse transcription quantitative real-time polymerase chain reaction

    PubMed Central

    Maes, Michaël; Willebrords, Joost; Crespo Yanguas, Sara; Cogliati, Bruno; Vinken, Mathieu

    2016-01-01

    Summary Although connexin production is mainly regulated at the protein level, altered connexin gene expression has been identified as the underlying mechanism of several pathologies. When studying the latter, appropriate methods to quantify connexin mRNA levels are required. The present chapter describes a well-established reverse transcription quantitative real-time polymerase chain reaction procedure optimized for analysis of hepatic connexins. The method includes RNA extraction and subsequent quantification, generation of complementary DNA, quantitative real-time polymerase chain reaction and data analysis. PMID:27207283

  6. Reliability analysis and prediction of mixed mode load using Markov Chain Model

    SciTech Connect

    Nikabdullah, N.; Singh, S. S. K.; Alebrahim, R.; Azizi, M. A.; K, Elwaleed A.; Noorani, M. S. M.

    2014-06-19

    The aim of this paper is to present the reliability analysis and prediction of mixed mode loading by using a simple two state Markov Chain Model for an automotive crankshaft. The reliability analysis and prediction for any automotive component or structure is important for analyzing and measuring the failure to increase the design life, eliminate or reduce the likelihood of failures and safety risk. The mechanical failures of the crankshaft are due of high bending and torsion stress concentration from high cycle and low rotating bending and torsional stress. The Markov Chain was used to model the two states based on the probability of failure due to bending and torsion stress. In most investigations it revealed that bending stress is much serve than torsional stress, therefore the probability criteria for the bending state would be higher compared to the torsion state. A statistical comparison between the developed Markov Chain Model and field data was done to observe the percentage of error. The reliability analysis and prediction was derived and illustrated from the Markov Chain Model were shown in the Weibull probability and cumulative distribution function, hazard rate and reliability curve and the bathtub curve. It can be concluded that Markov Chain Model has the ability to generate near similar data with minimal percentage of error and for a practical application; the proposed model provides a good accuracy in determining the reliability for the crankshaft under mixed mode loading.

  7. Reliability analysis and prediction of mixed mode load using Markov Chain Model

    NASA Astrophysics Data System (ADS)

    Nikabdullah, N.; Singh, S. S. K.; Alebrahim, R.; Azizi, M. A.; K, Elwaleed A.; Noorani, M. S. M.

    2014-06-01

    The aim of this paper is to present the reliability analysis and prediction of mixed mode loading by using a simple two state Markov Chain Model for an automotive crankshaft. The reliability analysis and prediction for any automotive component or structure is important for analyzing and measuring the failure to increase the design life, eliminate or reduce the likelihood of failures and safety risk. The mechanical failures of the crankshaft are due of high bending and torsion stress concentration from high cycle and low rotating bending and torsional stress. The Markov Chain was used to model the two states based on the probability of failure due to bending and torsion stress. In most investigations it revealed that bending stress is much serve than torsional stress, therefore the probability criteria for the bending state would be higher compared to the torsion state. A statistical comparison between the developed Markov Chain Model and field data was done to observe the percentage of error. The reliability analysis and prediction was derived and illustrated from the Markov Chain Model were shown in the Weibull probability and cumulative distribution function, hazard rate and reliability curve and the bathtub curve. It can be concluded that Markov Chain Model has the ability to generate near similar data with minimal percentage of error and for a practical application; the proposed model provides a good accuracy in determining the reliability for the crankshaft under mixed mode loading.

  8. Opportunities and Challenges in the Design and Analysis of Biomass Supply Chains

    DOE PAGES

    Lautala, Pasi T.; Hilliard, Michael R.; Webb, Erin; ...

    2015-06-30

    The biomass supply chain is one of the most critical elements of large-scale bioenergy production and in many cases a key barrier for procuring initial funding for new developments on specific energy crops. Most productions rely on complex transforming chains linked to feed and food markets. The term 'supply chain' covers various aspects from cultivation and harvesting of the biomass, to treatment, transportation, and storage. After energy conversion, the product must be delivered to final consumption, whether it is in the form of electricity, heat, or more tangible products, such as pellets and biofuels. Effective supply chains are of utmostmore » importance for bioenergy production, as biomass tends to possess challenging seasonal production cycles and low mass, energy and bulk densities. Additionally, the demand for final products is often also dispersed, further complicating the supply chain. The goal of this paper is to introduce key components of biomass supply chains, examples of related modeling applications, and if/how they address aspects related to environmental metrics and management. The paper will introduce a concept of integrated supply systems for sustainable biomass trade and the factors influencing the bioenergy supply chain landscape, including models that can be used to investigate the factors. Our paper will also cover various aspects of transportation logistics, ranging from alternative modal and multi-modal alternatives to introduction of support tools for transportation analysis. Lastly, gaps and challenges in supply chain research are identified and used to outline research recommendations for the future direction in this area of study.« less

  9. Supply Chain Sustainability Analysis of Three Biofuel Pathways

    SciTech Connect

    Jacob J. Jacobson; Erin Searcy; Kara Cafferty; Jennifer B. Dunn; Michael Johnson; Zhichao Wang; Michael Wang; Mary Biddy; Abhijit Dutta; Daniel Inman; Eric Tan; Sue Jones; Lesley Snowden-Swan

    2013-11-01

    The Department of Energy’s (DOE) Bioenergy Technologies Office (BETO) collaborates with industrial, agricultural, and non-profit partners to develop and deploy biofuels and other biologically-derived products. As part of this effort, BETO and its national laboratory teams conduct in-depth techno-economic assessments (TEA) of technologies to produce biofuels as part state of technology (SOT) analyses. An SOT assesses progress within and across relevant technology areas based on actual experimental results relative to technical targets and cost goals from design cases and includes technical, economic, and environmental criteria as available. Overall assessments of biofuel pathways begin with feedstock production and the logistics of transporting the feedstock from the farm or plantation to the conversion facility or biorefinery. The conversion process itself is modeled in detail as part of the SOT analysis. The teams then develop an estimate of the biofuel minimum selling price (MSP) and assess the cost competitiveness of the biofuel with conventional fuels such as gasoline.

  10. Extraction, purification, methylation and GC-MS analysis of short-chain carboxylic acids for metabolic flux analysis.

    PubMed

    Tivendale, Nathan D; Jewett, Erin M; Hegeman, Adrian D; Cohen, Jerry D

    2016-08-15

    Dynamic metabolic flux analysis requires efficient and effective methods for extraction, purification and analysis of a plethora of naturally-occurring compounds. One area of metabolism that would be highly informative to study using metabolic flux analysis is the tricarboxylic acid (TCA) cycle, which consists of short-chain carboxylic acids. Here, we describe a newly-developed method for extraction, purification, derivatization and analysis of short-chain carboxylic acids involved in the TCA cycle. The method consists of snap-freezing the plant material, followed by maceration and a 12-15h extraction at -80 °C. The extracts are then subject to reduction (to stabilize β-keto acids), purified by strong anion exchange solid phase extraction and methylated with methanolic HCl. This method could also be readily adapted to quantify many other short-chain carboxylic acids.

  11. Global analysis of SUMO chain function reveals multiple roles in chromatin regulation

    PubMed Central

    Srikumar, Tharan; Lewicki, Megan C.; Costanzo, Michael; Tkach, Johnny M.; van Bakel, Harm; Tsui, Kyle; Johnson, Erica S.; Brown, Grant W.; Andrews, Brenda J.; Boone, Charles; Giaever, Guri; Nislow, Corey

    2013-01-01

    Like ubiquitin, the small ubiquitin-related modifier (SUMO) proteins can form oligomeric “chains,” but the biological functions of these superstructures are not well understood. Here, we created mutant yeast strains unable to synthesize SUMO chains (smt3allR) and subjected them to high-content microscopic screening, synthetic genetic array (SGA) analysis, and high-density transcript profiling to perform the first global analysis of SUMO chain function. This comprehensive assessment identified 144 proteins with altered localization or intensity in smt3allR cells, 149 synthetic genetic interactions, and 225 mRNA transcripts (primarily consisting of stress- and nutrient-response genes) that displayed a >1.5-fold increase in expression levels. This information-rich resource strongly implicates SUMO chains in the regulation of chromatin. Indeed, using several different approaches, we demonstrate that SUMO chains are required for the maintenance of normal higher-order chromatin structure and transcriptional repression of environmental stress response genes in budding yeast. PMID:23547032

  12. Global analysis of SUMO chain function reveals multiple roles in chromatin regulation.

    PubMed

    Srikumar, Tharan; Lewicki, Megan C; Costanzo, Michael; Tkach, Johnny M; van Bakel, Harm; Tsui, Kyle; Johnson, Erica S; Brown, Grant W; Andrews, Brenda J; Boone, Charles; Giaever, Guri; Nislow, Corey; Raught, Brian

    2013-04-01

    Like ubiquitin, the small ubiquitin-related modifier (SUMO) proteins can form oligomeric "chains," but the biological functions of these superstructures are not well understood. Here, we created mutant yeast strains unable to synthesize SUMO chains (smt3(allR)) and subjected them to high-content microscopic screening, synthetic genetic array (SGA) analysis, and high-density transcript profiling to perform the first global analysis of SUMO chain function. This comprehensive assessment identified 144 proteins with altered localization or intensity in smt3(allR) cells, 149 synthetic genetic interactions, and 225 mRNA transcripts (primarily consisting of stress- and nutrient-response genes) that displayed a >1.5-fold increase in expression levels. This information-rich resource strongly implicates SUMO chains in the regulation of chromatin. Indeed, using several different approaches, we demonstrate that SUMO chains are required for the maintenance of normal higher-order chromatin structure and transcriptional repression of environmental stress response genes in budding yeast.

  13. Chain of custody; recommendations for acceptance and analysis of evidentiary geochemical samples

    USGS Publications Warehouse

    Murphy, Christine M.; Briggs, Paul H.; Adrian, Betty M.; Wilson, Steve A.; Hageman, Phil L.; Theodorakos, Pete M.

    1997-01-01

    Personnel from the Analytical Chemistry Services Group (ACSG), Mineral Resource Survey Program, formed a team to determine the policies for acceptance and analysis of geochemical samples. This team contacted law enforcement agencies that handle litigious samples, laboratories that work with samples of special nature, and the Solicitor General, Department of the Interior. Using the knowledge from these agencies as well as the expertise of ACSG personnel, sample control routine procedures, sample control evidentiary procedures, personnel policy governing chain-of-custody samples, and the general polices governing physical security of chain-of custody samples have been enacted.

  14. Rapid quantitative analysis of monoclonal antibody heavy and light chain charge heterogeneity

    PubMed Central

    Vanam, Ram P; Schneider, Michael A; Marlow, Michael S

    2015-01-01

    An alternative method to traditional 2-dimensional gel electrophoresis (2D-PAGE) and its application in characterizing the inherent charge heterogeneity of chromatographically isolated monoclonal antibody heavy and light chains is described. This method, referred to as ChromiCE, utilizes analytical size-exclusion chromatography (SEC), performed under reducing and denaturing conditions, followed by imaged capillary isoelectric focusing (icIEF) of the chromatographically separated heavy and light chains. Under conditions suitable for the subsequent icIEF analysis, the absolute and relative SEC elution volumes of the heavy and light chains were found to be highly pH dependent, a phenomenon that can be exploited in optimizing chromatographic separation. Compared to 2D-PAGE, the ChromiCE method substantially decreases the time and labor needed to complete the analysis, improves reproducibility, and provides fully quantitative assessment of charge heterogeneity. The ChromiCE methodology was applied to a set of diverse monoclonal antibodies to demonstrate suitability for quantitative charge variant analysis of heavy and light chains. A typical application of ChromiCE in extended characterization and stability studies of a purified antibody is shown. PMID:26305772

  15. Marathon: An Open Source Software Library for the Analysis of Markov-Chain Monte Carlo Algorithms.

    PubMed

    Rechner, Steffen; Berger, Annabell

    2016-01-01

    We present the software library marathon, which is designed to support the analysis of sampling algorithms that are based on the Markov-Chain Monte Carlo principle. The main application of this library is the computation of properties of so-called state graphs, which represent the structure of Markov chains. We demonstrate applications and the usefulness of marathon by investigating the quality of several bounding methods on four well-known Markov chains for sampling perfect matchings and bipartite graphs. In a set of experiments, we compute the total mixing time and several of its bounds for a large number of input instances. We find that the upper bound gained by the famous canonical path method is often several magnitudes larger than the total mixing time and deteriorates with growing input size. In contrast, the spectral bound is found to be a precise approximation of the total mixing time.

  16. Improving food safety within the dairy chain: an application of conjoint analysis.

    PubMed

    Valeeva, N I; Meuwissen, M P M; Lansink, A G J M Oude; Huirne, R B M

    2005-04-01

    This study determined the relative importance of attributes of food safety improvement in the production chain of fluid pasteurized milk. The chain was divided into 4 blocks: "feed" (compound feed production and its transport), "farm" (dairy farm), "dairy processing" (transport and processing of raw milk, delivery of pasteurized milk), and "consumer" (retailer/catering establishment and pasteurized milk consumption). The concept of food safety improvement focused on 2 main groups of hazards: chemical (antibiotics and dioxin) and microbiological (Salmonella, Escherichia coli, Mycobacterium paratuberculosis, and Staphylococcus aureus). Adaptive conjoint analysis was used to investigate food safety experts' perceptions of the attributes' importance. Preference data from individual experts (n = 24) on 101 attributes along the chain were collected in a computer-interactive mode. Experts perceived the attributes from the "feed" and "farm" blocks as being more vital for controlling the chemical hazards; whereas the attributes from the "farm" and "dairy processing" were considered more vital for controlling the microbiological hazards. For the chemical hazards, "identification of treated cows" and "quality assurance system of compound feed manufacturers" were considered the most important attributes. For the microbiological hazards, these were "manure supply source" and "action in salmonellosis and M. paratuberculosis cases". The rather high importance of attributes relating to quality assurance and traceability systems of the chain participants indicates that participants look for food safety assurance from the preceding participants. This information has substantial decision-making implications for private businesses along the chain and for the government regarding the food safety improvement of fluid pasteurized milk.

  17. The people factor: An analysis of the human resources landscape for immunization supply chain management.

    PubMed

    Kasonde, Musonda; Steele, Pamela

    2017-04-19

    Human resources is the backbone of any system and the key enabler for all other functions to effectively perform. This is no different with the Immunization Supply Chain, more so in todays' complex operating environment with the increasing strain caused by new vaccines and expanding immunization programmes (Source: WHO, UNICEF). In order to drive the change that is required for sustainability and continuous improvement, every immunization supply chain needs an effective leader. A dedicated and competent immunization supply chain leader with adequate numbers of skilled, accountable, motivated and empowered personnel at all levels of the health system to overcome existing and emerging immunization supply chain (ISC) challenges. Without an effective supply chain leader supported by capable and motivated staff, none of the interventions designed to strengthen the supply chain can be effective or sustainable (Source: Gavi Alliance SC Strategy 2014). This landscape analysis was preceded by an HR Evidence Review (March 2014) and has served to inform global partner strategies and country activities, as well as highlight where most support is required. The study also aimed to define the status quo in order to create some form of baseline against which to measure the impact of interventions related to HR going forward. The analysis was comprised of a comprehensive desk review, a survey of 40 respondents from 32 countries and consultations with ISC practitioners in several forums. The findings highlight key areas that should inform the pillars of a HR capacity development plan. At the same time, it revealed that there are some positive examples of where countries are actively addressing some of the issues identified and putting in place mechanisms and structures to optimize the SC function. Copyright © 2017. Published by Elsevier Ltd.

  18. The Creative Use of Chain Analysis Techniques in Counseling Clients Who Engage in Nonsuicidal Self-Injury

    ERIC Educational Resources Information Center

    Kinch, Stephanie; Kress, Victoria E.

    2012-01-01

    The purpose of this article is to present creative ways that chain analysis techniques, an intervention used in dialectical behavior therapy, can be used to address clients' nonsuicidal self-injurious behaviors. A description and rationale for using chain analysis techniques with clients who self-injure is provided. An illustrative case example is…

  19. Video analysis of sliding chains: A dynamic model based on variable-mass systems

    NASA Astrophysics Data System (ADS)

    Moreno, R.; Page, A.; Riera, J.; Hueso, J. L.

    2015-06-01

    This paper presents an experimental study of the dynamics of a chain sliding off of a table, using video analysis to test a theoretical model. The model consists of two variable-mass subsystems, with friction between the chain and the table and assumes that all links move at the same speed. In order to check the model, the chain position x(t) is obtained using video analysis. The smoothed function x(t) and its derivatives v(t) and a(t) are numerically computed using a local regression algorithm. In this way, the differential equation governing the motion can be directly tested, instead of comparing the position with the solution of the differential equation. Our procedure is very sensitive to deviations between the model and reality, so we can detect the point at which the chain ceases to be in tension and the model is no longer valid. This experiment shows students the limitations of simplified models and offers an opportunity to assess a model's range of validity.

  20. Is Trait Rumination Associated with the Ability to Generate Effective Problem Solving Strategies? Utilizing Two Versions of the Means-Ends Problem-Solving Test.

    PubMed

    Hasegawa, Akira; Nishimura, Haruki; Mastuda, Yuko; Kunisato, Yoshihiko; Morimoto, Hiroshi; Adachi, Masaki

    This study examined the relationship between trait rumination and the effectiveness of problem solving strategies as assessed by the Means-Ends Problem-Solving Test (MEPS) in a nonclinical population. The present study extended previous studies in terms of using two instructions in the MEPS: the second-person, actual strategy instructions, which has been utilized in previous studies on rumination, and the third-person, ideal-strategy instructions, which is considered more suitable for assessing the effectiveness of problem solving strategies. We also replicated the association between rumination and each dimension of the Social Problem-Solving Inventory-Revised Short Version (SPSI-R:S). Japanese undergraduate students (N = 223) completed the Beck Depression Inventory-Second Edition, Ruminative Responses Scale (RRS), MEPS, and SPSI-R:S. One half of the sample completed the MEPS with the second-person, actual strategy instructions. The other participants completed the MEPS with the third-person, ideal-strategy instructions. The results showed that neither total RRS score, nor its subscale scores were significantly correlated with MEPS scores under either of the two instructions. These findings taken together with previous findings indicate that in nonclinical populations, trait rumination is not related to the effectiveness of problem solving strategies, but that state rumination while responding to the MEPS deteriorates the quality of strategies. The correlations between RRS and SPSI-R:S scores indicated that trait rumination in general, and its brooding subcomponent in particular are parts of cognitive and behavioral responses that attempt to avoid negative environmental and negative private events. Results also showed that reflection is a part of active problem solving.

  1. Markov Chain analysis of turbiditic facies and flow dynamics (Magura Zone, Outer Western Carpathians, NW Slovakia)

    NASA Astrophysics Data System (ADS)

    Staňová, Sidónia; Soták, Ján; Hudec, Norbert

    2009-08-01

    Methods based on the Markov Chains can be easily applied in the evaluation of order in sedimentary sequences. In this contribution Markov Chain analysis was applied to analysis of turbiditic formation of the Outer Western Carpathians in NW Slovakia, although it also has broader utilization in the interpretation of sedimentary sequences from other depositional environments. Non-random facies transitions were determined in the investigated strata and compared to the standard deep-water facies models to provide statistical evidence for the sedimentological interpretation of depositional processes. As a result, six genetic facies types, interpreted in terms of depositional processes, were identified. They comprise deposits of density flows, turbidity flows, suspension fallout as well as units which resulted from syn- or post-depositional deformation.

  2. Is anoxic depolarisation associated with an ADC threshold? A Markov chain Monte Carlo analysis.

    PubMed

    King, Martin D; Crowder, Martin J; Hand, David J; Harris, Neil G; Williams, Stephen R; Obrenovitch, Tihomir P; Gadian, David G

    2005-12-01

    A Bayesian nonlinear hierarchical random coefficients model was used in a reanalysis of a previously published longitudinal study of the extracellular direct current (DC)-potential and apparent diffusion coefficient (ADC) responses to focal ischaemia. The main purpose was to examine the data for evidence of an ADC threshold for anoxic depolarisation. A Markov chain Monte Carlo simulation approach was adopted. The Metropolis algorithm was used to generate three parallel Markov chains and thus obtain a sampled posterior probability distribution for each of the DC-potential and ADC model parameters, together with a number of derived parameters. The latter were used in a subsequent threshold analysis. The analysis provided no evidence indicating a consistent and reproducible ADC threshold for anoxic depolarisation.

  3. Thermal Analysis of Brazing Seal and Sterilizing Technique to Break Contamination Chain for Mars Sample Return

    NASA Technical Reports Server (NTRS)

    Bao, Xiaoqi; Badescu, Mircea; Bar-Cohen, Yoseph

    2015-01-01

    The potential to return Martian samples to Earth for extensive analysis is in great interest of the planetary science community. It is important to make sure the mission would securely contain any microbes that may possibly exist on Mars so that they would not be able to cause any adverse effects on Earth's environment. A brazing sealing and sterilizing technique has been proposed to break the Mars-to-Earth contamination chain. Thermal analysis of the brazing process was conducted for several conceptual designs that apply the technique. Control of the increase of the temperature of the Martian samples is a challenge. The temperature profiles of the Martian samples being sealed in the container were predicted by finite element thermal models. The results show that the sealing and sterilization process can be controlled such that the samples' temperature is maintained below the potentially required level, and that the brazing technique is a feasible approach to break the contamination chain.

  4. Collagen alpha5 and alpha2(IV) chain coexpression: analysis of skin biopsies of Alport patients.

    PubMed

    Patey-Mariaud de Serre, N; Garfa, M; Bessiéres, B; Noël, L H; Knebelmann, B

    2007-08-01

    Alport syndrome is a collagen type IV disease caused by mutations in the COL4A5 gene with the X-linked form being most prevalent. The resultant alpha5(IV) collagen chain is a component of the glomerular and skin basement membranes (SBMs). Immunofluorescent determination of the alpha5(IV) chain in skin biopsies is the procedure of choice to identify patients. In 30% of patients, however, the mutant protein is still found in the SBM resulting in a normal staining pattern. In order to minimize or eliminate false results, we compared the distribution of the alpha2(IV) chain (another SBM component) and the alpha5(IV) chain by standard double label immunofluorescence (IF) and by confocal laser scanning microscopy. The study was performed on 55 skin biopsies of patients suspected of Alports and five normal control specimens. In normal skin, IF showed the classical linear pattern for both collagens along the basement membrane. Additionally, decreased alpha5(IV) was found in the bottom of the dermal papillary basement membrane. Confocal analysis confirmed the results and show alpha5(IV) focal interruptions. In suspected patients, both techniques showed the same rate of abnormal alpha5(IV) expression: segmental in women and absent in men. Our results show a physiological variation of alpha5(IV) location with focal interruptions and decreased expression in the bottom of the dermal basement membrane. Comparison of alpha5(IV) with alpha2(IV) expression is simple and eliminates technical artifacts.

  5. Food chain analysis of exposures and risks to wildlife at a metals-contaminated wetland.

    PubMed

    Pascoe, G A; Blanchet, R J; Linder, G

    1996-03-01

    A food chain analysis of risks to wetland receptors was performed in support of a baseline ecological risk assessment at the Milltown Reservoir Sediments Superfund site in Montana. The study area consisted of over 450 acres of primarily palustrine wetland contaminated with metals from mining wastes transported from upstream sources (average of 465 mg/kg for Cu in sediments, and 585 mg/kg in soils). The food chain analysis focused on several species of terrestrial and semiaquatic animals indigenous to montane wetlands of the northern Rocky Mountains. Receptors consisted of mice, voles, muskrats, beaver, various waterfowl species, osprey, bald eagles, and deer. Samples of aquatic and terrestrial invertebrates, small mammal tissues, fish tissue, aquatic and terrestrial vegetation, soils, sediment, and surface water were collected and analyzed for As, Cd, Cu, and Zn. A linear multimedia food-chain model was constructed to estimate daily intakes of the metals for each receptor, with assumed values for ingestion of aquatic and terrestrial food items, ingestion of local surface water, and incidental ingestion of soils and/or sediments. Evaluation of health risks to the receptors was performed by comparison of exposures expressed as daily intakes to a suite of toxicity values. The range of values consisted of the lower end of chronic toxicity data found in toxicology databases or the literature for the same or similar species, modified to account for extrapolation uncertainties. Daily intakes of chemicals of concern were below or within the range of toxicity values for all receptors. The weight of evidence from the food chain analysis and earlier bioassessment and ecological studies suggest that the health of the wetland receptors is at minimal risk due to the presence of elevated metals in sediments, upland soils, water, or food items at the site.

  6. Diffraction analysis of decorated Fibonacci chains in the average unit-cell approach.

    PubMed

    Wolny, J; Pytlik, L

    2000-01-01

    A novel approach to diffraction analysis of decorated quasicrystals is discussed. An average unit cell has been constructed for a decorated Fibonacci chain and used for analysis of its diffraction pattern. After some transformation of the scattering vectors, all the diffraction peaks are described by a single envelope function which is characteristic of a given decoration. It has been shown that by knowing several diffraction intensities, in a limited range of the scattering vector, it is possible to reconstruct the envelope function successfully and distinguish between different decorated structures.

  7. Understanding Divergent Thermal Conductivity in Single Polythiophene Chains Using Green-Kubo Modal Analysis and Sonification.

    PubMed

    Lv, Wei; Winters, R Michael; DeAngelis, Freddy; Weinberg, Gil; Henry, Asegun

    2017-08-03

    We used molecular dynamics simulations and the Green-Kubo modal analysis (GKMA) method as well as sonification to study the modal contributions to thermal conductivity in individual polythiophene chains. The simulations suggest that it is possible to achieve divergent thermal conductivity in individual polythiophene chains of certain lengths, with periodic boundary conditions. Application of the GKMA method further allowed for exact pinpointing of the modes responsible for the anomalous behavior. The analysis showed that transverse vibrations in the plane of the aromatic rings at low frequencies ∼0.05 THz are primarily responsible for the divergence. Within the integration time, one mode in particular exhibits a thermal conductivity contribution greater than 100 W m(-1) K(-1). Further investigation showed that the divergence arises from persistent correlation between the three lowest frequency modes on chains that have exact multiples of 30 unit cells in length. Sonification of the mode heat fluxes revealed regions where the heat flux amplitude yields a somewhat sinusoidal envelope with a long period similar to the relaxation time. This characteristic in the divergent mode heat fluxes gives rise to the overall thermal conductivity divergence, which strongly supports earlier hypotheses that attribute the divergence to correlated phonon-phonon scattering/interactions as opposed to a lack of scattering/interaction among modes (e.g., infinite relaxation time/ballistic transport).

  8. Empirical Analysis of Green Supply Chain Management Practices in Indian Automobile Industry

    NASA Astrophysics Data System (ADS)

    Luthra, S.; Garg, D.; Haleem, A.

    2014-04-01

    Environmental sustainability and green environmental issues have an increasing popularity among researchers and supply chain practitioners. An attempt has been made to identify and empirically analyze green supply chain management (GSCM) practices in Indian automobile industry. Six main GSCM practices (having 37 sub practices) and four expected performance outcomes (having 16 performances) have been identified by implementing GSCM practices from literature review. Questionnaire based survey has been made to validate these practices and performance outcomes. 123 complete questionnaires were collected from Indian automobile organizations and used for empirical analysis of GSCM practices in Indian automobile industry. Descriptive statistics have been used to know current implementation status of GSCM practices in Indian automobile industry and multiple regression analysis has been carried out to know the impact on expected organizational performance outcomes by current GSCM practices adopted by Indian automobile industry. The results of study suggested that environmental, economic, social and operational performances improve with the implementation of GSCM practices. This paper may play an important role to understand various GSCM implementation issues and help practicing managers to improve their performances in the supply chain.

  9. Multibody Graph Transformations and Analysis Part II: Closed-chain constraint embedding

    PubMed Central

    Jain, Abhinandan

    2011-01-01

    This is the second part of a two-part paper that develops graph theoretic techniques for the topological transformation and analysis of multibody system dynamics. The first part focused on tree systems, and developed systematic and rigorous techniques for the partitioning, aggregation and sub-structuring of multibody dynamics models. This second part, uses the aggregation techniques as the foundation to develop the constraint-embedding technique that enables the transformation of the non-tree system graphs into tree graphs. This enables the application of a large family of analytical and computational techniques for trees to closed-chain systems. This is illustrated through an extension of the low-order articulated-body forward dynamics algorithm for tree systems to closed-chain systems. PMID:22267894

  10. Exploring extraction/dissolution procedures for analysis of starch chain-length distributions.

    PubMed

    Wu, Alex Chi; Li, EnPeng; Gilbert, Robert G

    2014-12-19

    The analysis of starch chain-length distributions (CLDs) is important for understanding starch biosythesis-structure-property relations. It is obtained by analyzing the number distribution of the linear glucan chains released by enzymatic debranching of starch α-(1→6) glycosidic bonds for subsequent characterization by techniques such as fluorophore-assisted carbohydrate electrophoresis (FACE) or size-exclusion chromatography (SEC). Current literature pretreatments for debranching prior to CLD determination involve varying protocols, which might yield artifactual results. This paper examines the two widely used starch dissolution treatments with dimethyl sulfoxide (DMSO) containing 0.5% (w/w) lithium bromide (DMSO-LiBr) at 80°C and with aqueous alkaline (i.e. NaOH) solvents at 100 ˚C. Analyses by FACE with a very high range of degree of polymerization, and by SEC, of the CLD of barley starches with different structures show the following. (1) The NaOH treatment, even at a dilute concentration, causes significant degradation at higher degrees of polymerization, leading to quantitatively incorrect CLD results in longer amylopectin and in amylose chains. (2) Certain features in both amylopectin and amylose fractions of the CLD reduced to bumps or are missing with NaOH treatment. (3) Overestimation of amylose chains in starch CLD due to incomplete amylopectin dissolution with dilute NaOH concentration. These results indicate starch dissolution with DMSO-LiBr is the method of choice for minimizing artifacts. An improved pretreatment protocol is presented for starch CLD analysis by FACE and SEC.

  11. Markov Chain Monte Carlo Methods for Bayesian Data Analysis in Astronomy

    NASA Astrophysics Data System (ADS)

    Sharma, Sanjib

    2017-08-01

    Markov Chain Monte Carlo based Bayesian data analysis has now become the method of choice for analyzing and interpreting data in almost all disciplines of science. In astronomy, over the last decade, we have also seen a steady increase in the number of papers that employ Monte Carlo based Bayesian analysis. New, efficient Monte Carlo based methods are continuously being developed and explored. In this review, we first explain the basics of Bayesian theory and discuss how to set up data analysis problems within this framework. Next, we provide an overview of various Monte Carlo based methods for performing Bayesian data analysis. Finally, we discuss advanced ideas that enable us to tackle complex problems and thus hold great promise for the future. We also distribute downloadable computer software (available at https://github.com/sanjibs/bmcmc/ ) that implements some of the algorithms and examples discussed here.

  12. Genome-Wide Analysis of Branched-Chain Amino Acid Levels in Arabidopsis Seeds[W

    PubMed Central

    Angelovici, Ruthie; Lipka, Alexander E.; Deason, Nicholas; Gonzalez-Jorge, Sabrina; Lin, Haining; Cepela, Jason; Buell, Robin; Gore, Michael A.; DellaPenna, Dean

    2013-01-01

    Branched-chain amino acids (BCAAs) are three of the nine essential amino acids in human and animal diets and are important for numerous processes in development and growth. However, seed BCAA levels in major crops are insufficient to meet dietary requirements, making genetic improvement for increased and balanced seed BCAAs an important nutritional target. Addressing this issue requires a better understanding of the genetics underlying seed BCAA content and composition. Here, a genome-wide association study and haplotype analysis for seed BCAA traits in Arabidopsis thaliana revealed a strong association with a chromosomal interval containing two BRANCHED-CHAIN AMINO ACID TRANSFERASES, BCAT1 and BCAT2. Linkage analysis, reverse genetic approaches, and molecular complementation analysis demonstrated that allelic variation at BCAT2 is responsible for the natural variation of seed BCAAs in this interval. Complementation analysis of a bcat2 null mutant with two significantly different alleles from accessions Bayreuth-0 and Shahdara is consistent with BCAT2 contributing to natural variation in BCAA levels, glutamate recycling, and free amino acid homeostasis in seeds in an allele-dependent manner. The seed-specific phenotype of bcat2 null alleles, its strong transcription induction during late seed development, and its subcellular localization to the mitochondria are consistent with a unique, catabolic role for BCAT2 in BCAA metabolism in seeds. PMID:24368787

  13. Applying Different Independent Component Analysis Algorithms and Support Vector Regression for IT Chain Store Sales Forecasting

    PubMed Central

    Dai, Wensheng

    2014-01-01

    Sales forecasting is one of the most important issues in managing information technology (IT) chain store sales since an IT chain store has many branches. Integrating feature extraction method and prediction tool, such as support vector regression (SVR), is a useful method for constructing an effective sales forecasting scheme. Independent component analysis (ICA) is a novel feature extraction technique and has been widely applied to deal with various forecasting problems. But, up to now, only the basic ICA method (i.e., temporal ICA model) was applied to sale forecasting problem. In this paper, we utilize three different ICA methods including spatial ICA (sICA), temporal ICA (tICA), and spatiotemporal ICA (stICA) to extract features from the sales data and compare their performance in sales forecasting of IT chain store. Experimental results from a real sales data show that the sales forecasting scheme by integrating stICA and SVR outperforms the comparison models in terms of forecasting error. The stICA is a promising tool for extracting effective features from branch sales data and the extracted features can improve the prediction performance of SVR for sales forecasting. PMID:25165740

  14. Applying different independent component analysis algorithms and support vector regression for IT chain store sales forecasting.

    PubMed

    Dai, Wensheng; Wu, Jui-Yu; Lu, Chi-Jie

    2014-01-01

    Sales forecasting is one of the most important issues in managing information technology (IT) chain store sales since an IT chain store has many branches. Integrating feature extraction method and prediction tool, such as support vector regression (SVR), is a useful method for constructing an effective sales forecasting scheme. Independent component analysis (ICA) is a novel feature extraction technique and has been widely applied to deal with various forecasting problems. But, up to now, only the basic ICA method (i.e., temporal ICA model) was applied to sale forecasting problem. In this paper, we utilize three different ICA methods including spatial ICA (sICA), temporal ICA (tICA), and spatiotemporal ICA (stICA) to extract features from the sales data and compare their performance in sales forecasting of IT chain store. Experimental results from a real sales data show that the sales forecasting scheme by integrating stICA and SVR outperforms the comparison models in terms of forecasting error. The stICA is a promising tool for extracting effective features from branch sales data and the extracted features can improve the prediction performance of SVR for sales forecasting.

  15. Thermodynamic analysis of chain-melting transition temperatures for monounsaturated phospholipid membranes: dependence on cis-monoenoic double bond position.

    PubMed Central

    Marsh, D

    1999-01-01

    Unsaturated phospholipid is the membrane component that is essential to the dynamic environment needed for biomembrane function. The dependence of the chain-melting transition temperature, T(t), of phospholipid bilayer membranes on the position, n(u), of the cis double bond in the glycerophospholipid sn-2 chain can be described by an expression of the form T(t) = T(t)(c)(1 + h'(c)|n(u) - n(c)|)/(1 + s'(c)|n(u) - n(c)|), where n(c) is the chain position of the double bond corresponding to the minimum transition temperature, T(t)(c), for constant diacyl lipid chain lengths. This implies that the incremental transition enthalpy (and entropy) contributed by the sn-2 chain is greater for whichever of the chain segments, above or below the double-bond position, is the longer. The critical position, n(c), of the double bond is offset from the center of the sn-2 chain by an approximately constant amount, deltan(c) approximately 1. 5 C-atom units. The dependence of the parameters T(t)(c), h'(c), and s'(c) on sn-1 and sn-2 chain lengths can be interpreted consistently when allowance is made for the chain packing mismatch between the sn-1 and sn-2 chains. The length of the sn-2 chain is reduced by approximately 0.8 C-atom units by the cis double bond, in addition to a shortening by approximately 1.3 C-atom units by the bent configuration at the C-2 position. Based on this analysis, a general thermodynamic expression is proposed for the dependence of the chain-melting transition temperature on the position of the cis double bond and on the sn-1 and sn-2 chain lengths. The above treatment is restricted mostly to double-bond positions close to the center of the sn-2 chain. For double bonds positioned closer to the carboxyl or terminal methyl ends of the sn-2 chain, the effects on transition enthalpy can be considerably larger. They may be interpreted by the same formalism, but with different characteristic parameters, h'(c) and s'(c), such that the shorter of the chain segments

  16. Medium-chain acyl-CoA dehydrogenase (MCAD) deficiency: diagnosis by acylcarnitine analysis in blood.

    PubMed Central

    Van Hove, J L; Zhang, W; Kahler, S G; Roe, C R; Chen, Y T; Terada, N; Chace, D H; Iafolla, A K; Ding, J H; Millington, D S

    1993-01-01

    Medium-chain acyl-coenzyme A dehydrogenase (MCAD) deficiency is a disorder of fatty acid catabolism, with autosomal recessive inheritance. The disease is characterized by episodic illness associated with potentially fatal hypoglycemia and has a relatively high frequency. A rapid and reliable method for the diagnosis of MCAD deficiency is highly desirable. Analysis of specific acylcarnitines was performed by isotope-dilution tandem mass spectrometry on plasma or whole blood samples from 62 patients with MCAD deficiency. Acylcarnitines were also analyzed in 42 unaffected relatives of patients with MCAD deficiency and in other groups of patients having elevated plasma C8 acylcarnitine, consisting of 32 receiving valproic acid, 9 receiving medium-chain triglyceride supplement, 4 having multiple acyl-coenzyme A dehydrogenase deficiency, and 8 others with various etiologies. Criteria for the unequivocal diagnosis of MCAD deficiency by acylcarnitine analysis are an elevated C8-acylcarnitine concentration (> 0.3 microM), a ratio of C8/C10 acylcarnitines of > 5, and lack of elevated species of chain length > C10. These criteria were not influenced by clinical state, carnitine treatment, or underlying genetic mutation, and no false-positive or false-negative results were obtained. The same criteria were also successfully applied to profiles from neonatal blood spots retrieved from the original Guthrie cards of eight patients. Diagnosis of MCAD deficiency can therefore be made reliably through the analysis of acylcarnitines in blood, including presymptomatic neonatal recognition. Tandem mass spectrometry is a convenient method for fast and accurate determination of all relevant acylcarnitine species. PMID:8488845

  17. Flow cytometric analysis of expression of interleukin-2 receptor beta chain (p70-75) on various leukemic cells

    SciTech Connect

    Hoshino, S.; Oshimi, K.; Tsudo, M.; Miyasaka, M.; Teramura, M.; Masuda, M.; Motoji, T.; Mizoguchi, H. )

    1990-08-15

    We analyzed the expression of the interleukin-2 receptor (IL-2R) beta chain (p70-75) on various leukemic cells from 44 patients by flow cytometric analysis using the IL-2R beta chain-specific monoclonal antibody, designated Mik-beta 1. Flow cytometric analysis demonstrated the expression of the IL-2R beta chain on granular lymphocytes (GLs) from all eight patients with granular lymphocyte proliferative disorders (GLPDs), on adult T-cell leukemia (ATL) cells from all three patients with ATL, and on T-cell acute lymphoblastic leukemia (T-ALL) cells from one of three patients with T-ALL. Although GLs from all the GLPD patients expressed the IL-2R beta chain alone and not the IL-2R alpha chain (Tac-antigen: p55), ATL and T-ALL cells expressing the beta chain coexpressed the alpha chain. In two of seven patients with common ALL (cALL) and in both patients with B-cell chronic lymphocytic leukemia, the leukemic cells expressed the alpha chain alone. Neither the alpha chain nor the beta chain was expressed on leukemic cells from the remaining 28 patients, including all 18 patients with acute nonlymphocytic leukemia, five of seven patients with cALL, all three patients with multiple myeloma, and two of three patients with T-ALL. These results indicate that three different forms of IL-2R chain expression exist on leukemic cells: the alpha chain alone; the beta chain alone; and both the alpha and beta chains. To examine whether the results obtained by flow cytometric analysis actually reflect functional aspects of the expressed IL-2Rs, we studied the specific binding of 125I-labeled IL-2 (125I-IL-2) to leukemic cells in 18 of the 44 patients. In addition, we performed 125I-IL-2 crosslinking studies in seven patients. The results of IL-2R expression of both 125I-IL-2 binding assay and crosslinking studies were in agreement with those obtained by flow cytometric analysis.

  18. Chain Sampling

    DTIC Science & Technology

    1972-08-01

    35609 Advanced Techniques Branch Plans and Programs Analysis Division Directorate for Product Assurance U. S. Army Missile Command Redstone Arsenal...Ray Heathcock Advanced Techniques Branch Plans and Programs Analysis Division Directorate for Product Assurance U. S. Army Missile Command...for Product Assurance has established a rather unique computer program for handling a variety of chain sampling schemes and is available for

  19. Markov chain Monte Carlo linkage analysis of a complex qualitative phenotype.

    PubMed

    Hinrichs, A; Lin, J H; Reich, T; Bierut, L; Suarez, B K

    1999-01-01

    We tested a new computer program, LOKI, that implements a reversible jump Markov chain Monte Carlo (MCMC) technique for segregation and linkage analysis. Our objective was to determine whether this software, designed for use with continuously distributed phenotypes, has any efficacy when applied to the discrete disease states of the simulated data from the Mordor data from GAW Problem 1. Although we were able to identify the genomic location for two of the three quantitative trait loci by repeated application of the software, the MCMC sampler experienced significant mixing problems indicating that the method, as currently formulated in LOKI, was not suitable for the discrete phenotypes in this data set.

  20. Diagnostic value of polymerase chain reaction analysis of skin biopsies in purpura fulminans.

    PubMed

    Beau, Caroline; Vlassova, Natalia; Sarlangue, Jean; Brissaud, Olivier; Léauté-Labrèze, Christine; Boralevi, Franck

    2013-01-01

    Even though prompt diagnosis and treatment of purpura fulminans (PF) is essential to reduce mortality, early administration of antibiotics may preclude identification of the causative agent by standard bacterial cultures and thus render definitive diagnosis impossible. Here we present a case of an infant with PF and negative bacterial cultures for whom polymerase chain reaction (PCR) analysis of a cutaneous biopsy specimen obtained 4 days after initiation of antibiotics identified the genomic sequence of Neisseria meningitidis genogroup C. When bacterial cultures fail to provide useful information, PCR of skin biopsy specimens can be a valuable diagnostic tool in PF. © 2013 Wiley Periodicals, Inc.

  1. Conformation Analysis of Peptides Derived from Laminin Alpha 1-2 Chain Using Molecular Dynamics Simulation

    NASA Astrophysics Data System (ADS)

    Yamada, Hironao; Fukuda, Masaki; Miyakawa, Takeshi; Morikawa, Ryota; Takasu, Masako

    Laminin is one of the components of the basement membrane and has diverse biological activities. Several functional peptides (EF1-EF5) are identified from LG4 modules of laminin alpha 1-5 chains. Thus, we perform conformation analysis of EF1 and EF2 using molecular dynamics simulations. In this study, we perform structure sampling with NPT ensemble (300 K, 1 bar). Our results show that EF1 peptide has β-sheet structure in water, and EF2 peptide does not have. Likewise, the EF2 peptide has unstable structure compared with the EF1 peptide in water.

  2. Optimizing national immunization program supply chain management in Thailand: an economic analysis.

    PubMed

    Riewpaiboon, A; Sooksriwong, C; Chaiyakunapruk, N; Tharmaphornpilas, P; Techathawat, S; Rookkapan, K; Rasdjarmrearnsook, A; Suraratdecha, C

    2015-07-01

    This study aimed to conduct an economic analysis of the transition of the conventional vaccine supply and logistics systems to the vendor managed inventory (VMI) system in Thailand. Cost analysis of health care program. An ingredients based approach was used to design the survey and collect data for an economic analysis of the immunization supply and logistics systems covering procurement, storage and distribution of vaccines from the central level to the lowest level of vaccine administration facility. Costs were presented in 2010 US dollar. The total cost of the vaccination program including cost of vaccine procured and logistics under the conventional system was US$0.60 per packed volume procured (cm(3)) and US$1.35 per dose procured compared to US$0.66 per packed volume procured (cm(3)) and US$1.43 per dose procured under the VMI system. However, the findings revealed that the transition to the VMI system and outsourcing of the supply chain system reduced the cost of immunization program at US$6.6 million per year because of reduction of un-opened vaccine wastage. The findings demonstrated that the new supply chain system would result in efficiency improvement and potential savings to the immunization program compared to the conventional system. Copyright © 2015 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.

  3. Rapid identification of mycobacteria to the species level by polymerase chain reaction and restriction enzyme analysis.

    PubMed Central

    Telenti, A; Marchesi, F; Balz, M; Bally, F; Böttger, E C; Bodmer, T

    1993-01-01

    A method for the rapid identification of mycobacteria to the species level was developed on the basis of evaluation by the polymerase chain reaction (PCR) of the gene encoding for the 65-kDa protein. The method involves restriction enzyme analysis of PCR products obtained with primers common to all mycobacteria. Using two restriction enzymes, BstEII and HaeIII, medically relevant and other frequent laboratory isolates were differentiated to the species or subspecies level by PCR-restriction enzyme pattern analysis. PCR-restriction enzyme pattern analysis was performed on isolates (n = 330) from solid and fluid culture media, including BACTEC, or from frozen and lyophilized stocks. The procedure does not involve hybridization steps or the use of radioactivity and can be completed within 1 working day. Images PMID:8381805

  4. U.S. Wind Energy Manufacturing and Supply Chain: A Competitiveness Analysis

    SciTech Connect

    Fullenkamp, Patrick H; Holody, Diane S

    2014-06-15

    The goal of the project was to develop a greater understanding of the key factors determining wind energy component manufacturing costs and pricing on a global basis in order to enhance the competitiveness of U.S. manufacturers, and to reduce installed systems cost. Multiple stakeholders including DOE, turbine OEMs, and large component manufactures will all benefit by better understanding the factors determining domestic competitiveness in the emerging offshore and next generation land-based wind industries. Major objectives of this project were to: 1. Carry out global cost and process comparisons for 5MW jacket foundations, blades, towers, and permanent magnet generators; 2. Assess U.S. manufacturers’ competitiveness and potential for cost reduction; 3. Facilitate informed decision-making on investments in U.S. manufacturing; 4. Develop an industry scorecard representing the readiness of the U.S. manufacturers’ to produce components for the next generations of wind turbines, nominally 3MW land-based and 5MW offshore; 5. Disseminate results through the GLWN Wind Supply Chain GIS Map, a free website that is the most comprehensive public database of U.S. wind energy suppliers; 6. Identify areas and develop recommendations to DOE on potential R&D areas to target for increasing domestic manufacturing competitiveness, per DOE’s Clean Energy Manufacturing Initiative (CEMI). Lists of Deliverables 1. Cost Breakdown Competitive Analyses of four product categories: tower, jacket foundation, blade, and permanent magnet (PM) generator. The cost breakdown for each component includes a complete Bill of Materials with net weights; general process steps for labor; and burden adjusted by each manufacturer for their process categories of SGA (sales general and administrative), engineering, logistics cost to a common U.S. port, and profit. 2. Value Stream Map Competitiveness Analysis: A tool that illustrates both information and material flow from the point of getting a

  5. Network analysis of pig movements: Loyalty patterns and contact chains of different holding types in Denmark

    PubMed Central

    Boklund, Anette; Halasa, Tariq H. B.; Toft, Nils; Lentz, Hartmut H. K.

    2017-01-01

    Understanding animal movements is an important factor for the development of meaningful surveillance and control programs, but also for the development of disease spread models. We analysed the Danish pig movement network using static and temporal network analysis tools to provide deeper insight in the connection between holdings dealing with pigs, such as breeding and multiplier herds, production herds, slaughterhouses or traders. Pig movements, which occurred between 1st January 2006 and 31st December 2015 in Denmark, were summarized to investigate temporal trends such as the number of active holdings, the number of registered movements and the number of pigs moved. To identify holdings and holding types with potentially higher risk for introduction or spread of diseases via pig movements, we determined loyalty patterns, annual network components and contact chains for the 24 registered holding types. The total number of active holdings as well as the number of pig movements decreased during the study period while the holding sizes increased. Around 60–90% of connections between two pig holdings were present in two consecutive years and around one third of the connections persisted within the considered time period. Weaner herds showed the highest level of in-loyalty, whereas we observed an intermediate level of in-loyalty for all breeding sites and for production herds. Boar stations, production herds and trade herds showed a high level of out-loyalty. Production herds constituted the highest proportion of holdings in the largest strongly connected component. All production sites showed low levels of in-going contact chains and we observed a high level of out-going contact chain for breeding and multiplier herds. Except for livestock auctions, all transit sites also showed low levels of out-going contact chains. Our results reflect the pyramidal structure of the underlying network. Based on the considered disease, the time frame for the calculation of network

  6. Network analysis of pig movements: Loyalty patterns and contact chains of different holding types in Denmark.

    PubMed

    Schulz, Jana; Boklund, Anette; Halasa, Tariq H B; Toft, Nils; Lentz, Hartmut H K

    2017-01-01

    Understanding animal movements is an important factor for the development of meaningful surveillance and control programs, but also for the development of disease spread models. We analysed the Danish pig movement network using static and temporal network analysis tools to provide deeper insight in the connection between holdings dealing with pigs, such as breeding and multiplier herds, production herds, slaughterhouses or traders. Pig movements, which occurred between 1st January 2006 and 31st December 2015 in Denmark, were summarized to investigate temporal trends such as the number of active holdings, the number of registered movements and the number of pigs moved. To identify holdings and holding types with potentially higher risk for introduction or spread of diseases via pig movements, we determined loyalty patterns, annual network components and contact chains for the 24 registered holding types. The total number of active holdings as well as the number of pig movements decreased during the study period while the holding sizes increased. Around 60-90% of connections between two pig holdings were present in two consecutive years and around one third of the connections persisted within the considered time period. Weaner herds showed the highest level of in-loyalty, whereas we observed an intermediate level of in-loyalty for all breeding sites and for production herds. Boar stations, production herds and trade herds showed a high level of out-loyalty. Production herds constituted the highest proportion of holdings in the largest strongly connected component. All production sites showed low levels of in-going contact chains and we observed a high level of out-going contact chain for breeding and multiplier herds. Except for livestock auctions, all transit sites also showed low levels of out-going contact chains. Our results reflect the pyramidal structure of the underlying network. Based on the considered disease, the time frame for the calculation of network

  7. Cost-effectiveness analysis of an early-initiated, continuous chain of rehabilitation after severe traumatic brain injury.

    PubMed

    Andelic, Nada; Ye, Jiajia; Tornas, Sveinung; Roe, Cecilie; Lu, Juan; Bautz-Holter, Erik; Moger, Tron; Sigurdardottir, Solrun; Schanke, Anne-Kristine; Aas, Eline

    2014-07-15

    The aim of this study is to estimate the long-term cost-effectiveness of two different rehabilitation trajectories after severe traumatic brain injury (sTBI). A decision tree model compared hospitalization costs, health effects, and incremental cost-effectiveness ratios (ICER) of a continuous chain versus a broken chain of rehabilitation. The expected costs were estimated by the reimbursement system using diagnosis-related group and based on point estimates of the Disability Rating Scale (DRS); the health effects were measured by means of area under the curve (AUC). The incremental health benefit was estimated as the difference in the AUCs between the chains. Lower values on the DRS scale indicate better health; thus, smaller AUCs were preferred. The modeled population was a cohort of 59 patients with sTBI (30 in continuous chain; 29 in broken chain) with 6-weeks, 1-year, and 5-year post-injury follow-ups. Regarding the DRS estimates, 5-year AUCs were 19.40 (continuous chain) and 23.46 (broken chain). Across 5 years, the continuous chain of rehabilitation had lower costs and better health effects. By replacing the broken chain with the continuous chain, NOK 37.000 could be saved and 4.06 DRS points gained. By means of probabilistic sensitivity analysis, the majority of ICER estimates (67% of the Monte Carlo simulations) indicated that a continuous chain of rehabilitation was less costly and more effective. These findings indicate that the trajectory of continuous rehabilitation represents a dominant strategy in that it reduces costs and improves outcomes after sTBI under reasonable assumptions.

  8. An analysis of disruptions in aerospace/defense organizations that affect the supply chain

    NASA Astrophysics Data System (ADS)

    Dickerson, Toscha L.

    The purpose of this quantitative study was to determine whether or not functions of procurement organizations structures' and aerospace suppliers were perceived as disruptions and to identify their effects on lead time and costs within a supply chain. An analysis of employees' perception of centralized and decentralized procurement functions, aerospace and defense suppliers, lead times of goods and services, price increases, and schedule delays was conducted. Prior studies are limited in regards to understanding how specific procurement functions affects an organization procurement structure. This non-experimental quantitative study allowed for a survey to be administered to aerospace and defense companies throughout the United States to obtain information from sourcing and procurement professionals with 5 or more years of experience. The current study utilized a 10 question survey based on the 5- point Likert -type scale to determine the findings. Through descriptive and inferential statistics, using regression analysis, standard deviation, and P-value; findings indicated that the majority of the participants surveyed perceived both centralized and decentralized procurement functions affected lead time and cost of goods and services resulted in a positive effect and were considered as supply chain disruptions.

  9. [Ontogenetic and phylogenetic analysis of myosin light chain proteins from skeletal muscles of loach Misgurnus fossilis].

    PubMed

    Miuge, N S; Tikhonov, A V; Ozerniuk, N D

    2005-01-01

    mRNAs of all three types of myosin light chain proteins are expressed in skeletal muscles of both larval and adult stages of loach Misgurnus fossilis (Cobitidae) and these proteins are encoded by different genes (mlc1, mlc2, and mlc3). No difference was revealed between transcripts from larval stage and adult fish for all three mlc proteins. Our approach (RT-PCR with fish-specific mlc1, mlc2, and mlc3 primers) failed to reveal the larval form of myosin light chain protein found previously by protein electrophoresis of loach fry muscle extract. Comparative analysis of the protein structure shows high homology of MLC1 and MLC3 proteins sharing a large EF-hand calcium-binding domain. Phylogenetic analysis of MLC1 from skeletal muscles of fish and other vertebrate species is concordant with the traditional phylogeny of the group. Within the Teleostei, loach MLC1 had the highest homology with other Cyprinidae, and least with Salmonidae fishes.

  10. A Markov Chain Analysis of Fish Movements to Determine Entrainment Zones

    SciTech Connect

    Johnson, Gary E.; Hedgepeth, J; Skalski, John R.; Giorgi, Albert E.

    2004-10-01

    Fish can become entrained at water withdrawal locations such as fish bypasses or cooling water intakes. Accordingly, the size of a fish entrainment zone (FEZ) is often of interest to fisheries managers and facility operators. This study developed a new technique to map the FEZ, defined here as the region immediately upstream of a portal where the probability of fish movement toward the portal is greater than 90%. To map the FEZ, we applied a Markov chain analysis to fish movement data collected with an active tracking sonar. This device locks onto and follows a target, recording positions through a set of volumetric cells comprising the sampled volume. The probability of a fish moving from one cell to another was calculated from fish position data, which was used to populate a Markov transition matrix. We developed and applied the technique using data on salmon smolts migrating near the ice/trash sluiceway at The Dalles Dam on the Columbia River. The FEZ of the sluiceway entrance in 2000 as determined with this procedure was approximately 5 m across and extended 6-8 m out from the face of the dam in the surface layer 2-3 m deep. In conclusion, using a Markov chain analysis of fish track data we were able to describe and quantify the FEZ of the sluiceway at The Dalles Dam. This technique for FEZ mapping is applicable to other bioengineering efforts aimed at protecting fish populations affected by water withdrawals.

  11. Integrating market chain assessments with zoonoses risk analysis in two cross-border pig value chains in Lao PDR.

    PubMed

    Okello, Anna; Tiemann, Tassilo Tamino; Inthavong, Phouth; Khamlome, Boualam; Phengvilaysouk, Ammaly; Keonouchanh, Soukanh; Keokhamphet, Chattouphone; Somoulay, Virasack; Blaszak, Kate; Blacksell, Stuart; Okello, Walter; Allen, John

    2017-03-25

    Lao PDR's recent accession to the World Trade Organization necessitates a greater understanding of the patterns and risk of livestock production in order to better align national policy with the Agreement on the Application of Sanitary and Phytosanitary Measures. This eco-health study describes the integration of market chain and zoonoses risk analyses at two strategic cross border points between Lao PDR, Thailand and Viet Nam. Information gained from smallholder farmer/trader interviews was integrated with serological surveys for pig-associated zoonoses - including hepatitis E virus, Taenia solium and Trichinella - to identify potential linkages between disease risk and pig production and slaughter in low input systems common across the country. Trichinella and HEV exposure was high in both humans and pigs in both study areas, significantly associated with pig slaughter and the subsequent consumption and handling of raw pork products. T. solium demonstrated a strong geographical and ethnic association with the northern study area bordering Vietnam. With the right knowledge and accessible, affordable inputs, the majority of smallholder farmers indicated a willingness to invest more in pig production, which could simultaneously improve livelihoods and decrease exposure to HEV, Trichinella and T. solium through increased access to formal markets and an improved slaughter processes. Assessing disease risk in the context of potential economic and cultural drivers of transmission highlights the importance of a systems-based approach to the detection and control of zoonotic disease, improving the understanding of the Lao PDR livestock sector in accordance with the country's recent accession to the World Trade Organization.

  12. Comparative Analysis of Immune Repertoires between Bactrian Camel's Conventional and Heavy-Chain Antibodies

    PubMed Central

    Yang, Kai; Zhang, Wei; Zhang, Changjiang; Fu, Longfei; Ren, Zhe; Wang, Changxi; Wu, Jinghua; Lu, Ruxue; Ye, Yanrui; He, Mengying; Nie, Chao; Yang, Naibo; Wang, Jian; Yang, Huanming; Liu, Xiao

    2016-01-01

    Compared to classical antibodies, camel heavy chain antibodies (HCAbs) are smaller in size due to lack of the light chain and the first constant domain of the heavy chain (CH1 region). The variable regions of HCAbs (VHHs) are more soluble and stable than that of conventional antibodies (VHs). Even with such simple structure, they are still functional in antigen binding. Although HCAbs have been extensively investigated over the past two decades, most efforts have been based upon low throughput sequence analysis, and there are only limited reports trying to analyze and describe the complete immune repertoire (IR) of camel HCAbs. Here we leveraged the high-throughput data generated by Next Generation Sequencing (NGS) of the variable domains of the antibody heavy chains from three Bactrian camels to conduct in-depth comparative analyses of the immunoglobulin repertoire. These include analyses of the complementary determining region 3 (CDR3) length and distribution, mutation rate, antibody characteristic amino acids, the distribution of the cysteine (Cys) codons, and the non-classical VHHs. We found that there is higher diversity in the CDR2 than in the other sub-regions, and there is a higher mutation rate in the VHHs than in the VHs (P < 0.05). In addition to substitutions at amino acid (AA) residue positions NO.49/50/52 between VH and VHH clones, we also observed other substitutions at the positions NO.40/54/57/96/101 that could lead to additional structural alterations. We also found that VH-derived VHH clones, referred to as non-classical VHH clones in this study, accounted for about 8% of all clones. Further, only 5%-10% clones had the Trp > Arg AA substitution at the first position of framework 4 for all types of clones. We present, for the first time, a relatively complete picture of the Bactrian camel antibody immune repertoire, including conventional antibody (Ab) and HCAbs, using PCR and in silico analysis based on high-throughput NGS data. PMID:27588755

  13. Health supply chain management.

    PubMed

    Zimmerman, Rolf; Gallagher, Pat

    2010-01-01

    This chapter gives an educational overview of: * The actual application of supply chain practice and disciplines required for service delivery improvement within the current health environment. * A rationale for the application of Supply Chain Management (SCM) approaches to the Health sector. * The tools and methods available for supply chain analysis and benchmarking. * Key supply chain success factors.

  14. The quantitative real-time polymerase chain reaction for the analysis of plant gene expression.

    PubMed

    Fitzgerald, Timothy L; McQualter, Richard B

    2014-01-01

    The quantitative real-time polymerase chain reaction is used to simultaneously amplify and quantify a targeted DNA molecule. It can be used to determine exact copy number of a molecule within a sample and/or to compare the quantity of a molecule between samples. When combined with reverse transcription, it is a powerful tool for the analysis of gene expression, and it is widely used for this purpose in plant species. Here we provide an introduction to fundamental concepts relevant for the analysis of gene expression in plants using this technique and a protocol for quantification of the relative expression of a sucrose phosphate synthase gene along the maturation gradient of a sugarcane leaf.

  15. Analysis of myosin heavy chain mRNA expression by RT-PCR

    NASA Technical Reports Server (NTRS)

    Wright, C.; Haddad, F.; Qin, A. X.; Baldwin, K. M.

    1997-01-01

    An assay was developed for rapid and sensitive analysis of myosin heavy chain (MHC) mRNA expression in rodent skeletal muscle. Only 2 microg of total RNA were necessary for the simultaneous analysis of relative mRNA expression of six different MHC genes. We designed synthetic DNA fragments as internal standards, which contained the relevant primer sequences for the adult MHC mRNAs type I, IIa, IIx, IIb as well as the embryonic and neonatal MHC mRNAs. A known amount of the synthetic fragment was added to each polymerase chain reaction (PCR) and yielded a product of different size than the amplified MHC mRNA fragment. The ratio of amplified MHC fragment to synthetic fragment allowed us to calculate percentages of the gene expression of the different MHC genes in a given muscle sample. Comparison with the traditional Northern blot analysis demonstrated that our reverse transcriptase-PCR-based assay was reliable, fast, and quantitative over a wide range of relative MHC mRNA expression in a spectrum of adult and neonatal rat skeletal muscles. Furthermore, the high sensitivity of the assay made it very useful when only small quantities of tissue were available. Statistical analysis of the signals for each MHC isoform across the analyzed samples showed a highly significant correlation between the PCR and the Northern signals as Pearson correlation coefficients ranged between 0.77 and 0.96 (P < 0.005). This assay has potential use in analyzing small muscle samples such as biopsies and samples from pre- and/or neonatal stages of development.

  16. Diagnostic value of immunoglobulin κ light chain gene rearrangement analysis in B-cell lymphomas.

    PubMed

    Kokovic, Ira; Jezersek Novakovic, Barbara; Novakovic, Srdjan

    2015-03-01

    Analysis of the immunoglobulin κ light chain (IGK) gene is an alternative method for B-cell clonality assessment in the diagnosis of mature B-cell proliferations in which the detection of clonal immunoglobulin heavy chain (IGH) gene rearrangements fails. The aim of the present study was to evaluate the added value of standardized BIOMED-2 assay for the detection of clonal IGK gene rearrangements in the diagnostic setting of suspected B-cell lymphomas. With this purpose, 92 specimens from 80 patients with the final diagnosis of mature B-cell lymphoma (37 specimens), mature T-cell lymphoma (26 specimens) and reactive lymphoid proliferation (29 specimens) were analyzed for B-cell clonality. B-cell clonality analysis was performed using the BIOMED-2 IGH and IGK gene clonality assays. The determined sensitivity of the IGK assay was 67.6%, while the determined sensitivity of the IGH assay was 75.7%. The sensitivity of combined IGH+IGK assay was 81.1%. The determined specificity of the IGK assay was 96.2% in the group of T-cell lymphomas and 96.6% in the group of reactive lesions. The determined specificity of the IGH assay was 84.6% in the group of lymphomas and 86.2% in the group of reactive lesions. The comparison of GeneScan (GS) and heteroduplex pretreatment-polyacrylamide gel electrophoresis (HD-PAGE) methods for the analysis of IGK gene rearrangements showed a higher efficacy of GS analysis in a series of 27 B-cell lymphomas analyzed by both methods. In the present study, we demonstrated that by applying the combined IGH+IGK clonality assay the overall detection rate of B-cell clonality was increased by 5.4%. Thus, we confirmed the added value of the standardized BIOMED-2 IGK assay for assessment of B-cell clonality in suspected B-cell lymphomas with inconclusive clinical and cyto/histological diagnosis.

  17. Analysis of myosin heavy chain mRNA expression by RT-PCR

    NASA Technical Reports Server (NTRS)

    Wright, C.; Haddad, F.; Qin, A. X.; Baldwin, K. M.

    1997-01-01

    An assay was developed for rapid and sensitive analysis of myosin heavy chain (MHC) mRNA expression in rodent skeletal muscle. Only 2 microg of total RNA were necessary for the simultaneous analysis of relative mRNA expression of six different MHC genes. We designed synthetic DNA fragments as internal standards, which contained the relevant primer sequences for the adult MHC mRNAs type I, IIa, IIx, IIb as well as the embryonic and neonatal MHC mRNAs. A known amount of the synthetic fragment was added to each polymerase chain reaction (PCR) and yielded a product of different size than the amplified MHC mRNA fragment. The ratio of amplified MHC fragment to synthetic fragment allowed us to calculate percentages of the gene expression of the different MHC genes in a given muscle sample. Comparison with the traditional Northern blot analysis demonstrated that our reverse transcriptase-PCR-based assay was reliable, fast, and quantitative over a wide range of relative MHC mRNA expression in a spectrum of adult and neonatal rat skeletal muscles. Furthermore, the high sensitivity of the assay made it very useful when only small quantities of tissue were available. Statistical analysis of the signals for each MHC isoform across the analyzed samples showed a highly significant correlation between the PCR and the Northern signals as Pearson correlation coefficients ranged between 0.77 and 0.96 (P < 0.005). This assay has potential use in analyzing small muscle samples such as biopsies and samples from pre- and/or neonatal stages of development.

  18. Rapid screening for sickle cell disease by polymerase chain reaction-high resolution melting analysis.

    PubMed

    Yue, Liang; Lin, Min; Chen, Jiang-Tao; Zhan, Xiao-Fen; Zhong, De-Shang; Monte-Nguba, Santiago-M; Liu, Pei-Fen; Pan, Xue-Fen; Huang, Jiang-Hua; Wang, Xi; Ehapo, Juan Carlos Salas; Eyi, Urbano Monsuy; Yang, Hui-Tian; Yang, Li-Ye

    2014-06-01

    Each year, ~300,000 individuals with sickle cell disease (SCD), a hemoglobinopathy caused by β-globin gene mutation, are born, and >75% of those are in Africa. The present study examined 511 individuals on the island of Bioko (Equatorial Guinea) and attempted to establish a method for rapid sickle cell disease screening. Following DNA extraction and polymerase chain reaction (PCR) amplification, high resolution melting (HRM) analysis was used to assess the specificity of fluorescence signals of the PCR products and to differentiate various genotypes of these products. The analytical results of HRM were validated using DNA sequencing. By HRM analysis, 80 out of 511 samples were classified as hemoglobin S (Hb S) heterozygotes, while 431 out of 511 samples were classified as wild-type. No mutant homozygote was identified. DNA sequencing indicated that within the 431 wild-type samples as indicated by HRM analysis, one case was actually a Hb S heterozygote and another case was a rare hemoglobin S-C genotype (sickle-hemoglobin C disease). One out of 80 suspected Hb S heterozygotes as indicated by HRM was confirmed as wild-type by DNA sequencing and the results of residual 508 cases were consistent for HRM analysis and sequencing. In conclusion, HRM analysis is a simple, high-efficiency approach for Hb S screening and is useful for early diagnosis of SCD and particularly suitable for application in the African area.

  19. Traceability and Risk Analysis Strategies for Addressing Counterfeit Electronics in Supply Chains for Complex Systems.

    PubMed

    DiMase, Daniel; Collier, Zachary A; Carlson, Jinae; Gray, Robin B; Linkov, Igor

    2016-10-01

    Within the microelectronics industry, there is a growing concern regarding the introduction of counterfeit electronic parts into the supply chain. Even though this problem is widespread, there have been limited attempts to implement risk-based approaches for testing and supply chain management. Supply chain risk management tends to focus on the highly visible disruptions of the supply chain instead of the covert entrance of counterfeits; thus counterfeit risk is difficult to mitigate. This article provides an overview of the complexities of the electronics supply chain, and highlights some gaps in risk assessment practices. In particular, this article calls for enhanced traceability capabilities to track and trace parts at risk through various stages of the supply chain. Placing the focus on risk-informed decision making through the following strategies is needed, including prioritization of high-risk parts, moving beyond certificates of conformance, incentivizing best supply chain management practices, adoption of industry standards, and design and management for supply chain resilience.

  20. A Benchmarking Analysis for Five Radionuclide Vadose Zone Models (Chain, Multimed{_}DP, Fectuz, Hydrus, and Chain 2D) in Soil Screening Level Calculations

    SciTech Connect

    Chen, J-S.; Drake, R.; Lin, Z.; Jewett, D. G.

    2002-02-26

    Five vadose zone models with different degrees of complexity (CHAIN, MULTIMED{_}DP, FECTUZ, HYDRUS, and CHAIN 2D) were selected for use in radionuclide soil screening level (SSL) calculations. A benchmarking analysis between the models was conducted for a radionuclide ({sup 99}Tc) release scenario at the Las Cruces Trench Site in New Mexico. Sensitivity of three model outputs to the input parameters were evaluated and compared among the models. The three outputs were peak contaminant concentrations, time to peak concentrations at the water table, and time to exceed the contaminants maximum critical level at a representative receptor well. Model parameters investigated include soil properties such as bulk density, water content, soil water retention parameters and hydraulic conductivity. Chemical properties examined include distribution coefficient, radionuclide half-life, dispersion coefficient, and molecular diffusion. Other soil characteristics, such as recharge rate, also were examined. Model sensitivity was quantified in the form of sensitivity and relative sensitivity coefficients. Relative sensitivities were used to compare the sensitivities of different parameters. The analysis indicates that soil water content, recharge rate, saturated soil water content, and soil retention parameter, {beta}, have a great influence on model outputs. In general, the results of sensitivities and relative sensitivities using five models are similar for a specific scenario. Slight differences were observed in predicted peak contaminant concentrations due to different mathematical treatment among models. The results of benchmarking and sensitivity analysis would facilitate the model selection and application of the model in SSL calculations.

  1. Understanding influential factors on implementing green supply chain management practices: An interpretive structural modelling analysis.

    PubMed

    Agi, Maher A N; Nishant, Rohit

    2017-03-01

    In this study, we establish a set of 19 influential factors on the implementation of Green Supply Chain Management (GSCM) practices and analyse the interaction between these factors and their effect on the implementation of GSCM practices using the Interpretive Structural Modelling (ISM) method and the "Matrice d'Impacts Croisés Multiplication Appliquée à un Classement" (MICMAC) analysis on data compiled from interviews with supply chain (SC) executives based in the Gulf countries (Middle East region). The study reveals a strong influence and driving power of the nature of the relationships between SC partners on the implementation of GSCM practices. We especially found that dependence, trust, and durability of the relationship with SC partners have a very high influence. In addition, the size of the company, the top management commitment, the implementation of quality management and the employees training and education exert a critical influence on the implementation of GSCM practices. Contextual elements such as the industry sector and region and their effect on the prominence of specific factors are also highlighted through our study. Finally, implications for research and practice are discussed. Copyright © 2016 Elsevier Ltd. All rights reserved.

  2. Analysis of sense and naturally occurring antisense transcripts of myosin heavy chain in the human myocardium.

    PubMed

    Luther, H P; Podlowski, S; Hetzer, R; Baumann, G

    2001-01-01

    Naturally occurring antisense RNA has the potential to form a duplex with its complementary sense mRNA, thereby regulating protein expression. Previously, we demonstrated considerable amounts of endogenous antisense RNA for both alpha- and beta-myosin heavy chain (MHC) in rat heart suggesting a role in posttranscriptional MHC-regulation (Luther et al. [1997] J Mol Cell Cardiol 29(1):27-35). To evaluate whether antisense RNA is also involved in MHC regulation in human heart we analyzed ventricular myocardium transcripts in nonfailing hearts (n=3) and hearts from patients undergoing heart transplantation (n=5). Investigation of RNA by reverse transcription polymerase chain reaction (RT-PCR) detected an antisense RNA transcript for beta-MHC but none for alpha-MHC. Northern blot analysis of normal and failing hearts detected sense mRNA for beta-MHC, but not alpha-MHC suggesting no functionally relevant levels of alpha-MHC mRNA exist in the human ventricle. The results describe-for the first time-the existence of endogenous polyadenylated MHC antisense transcripts in the human heart. The potential effect of attenuating translation was shown in an in vitro translation assay using a synthetic antisense-oligonucleotide derived from the sequence of the naturally occurring antisense RNA. Copyright 2001 Wiley-Liss, Inc.

  3. Ricin A-chain structural determinant for binding substrate analogues: a molecular dynamics simulation analysis.

    PubMed

    Olson, M A

    1997-01-01

    Ricin A-chain is a cytotoxic protein that attacks ribosomes by hydrolyzing a specific adenine base from a highly conserved, single-stranded rRNA hairpin containing the tetraloop sequence GAGA. Molecular-dynamics simulation methods are used to analyze the structural determinant for three substrate analogues bound to the ricin A-chain molecule. Simulations were applied to the binding of the dinucleotide adenyl-3',5'-guanosine employing the x-ray crystal structure of the ricin complex and a modeled CGAGAG hexanucleotide loop taken from the NMR solution structure of a 29-mer oligonucleotide hairpin. A third simulation model is also presented describing a conformational search of the docked 29-mer structure by using a simulated-annealing method. Analysis of the structural interaction energies for each model shows the overall binding dominated by nonspecific interactions, which are mediated by specific arginine contracts from the highly basic region on the protein surface. The tetraloop conformation of the 29-mer was found to make specific interactions with conserved protein residues, in a manner that favored the GAGA sequence. A comparison of the two docked loop conformations with the NMR structure revealed significant positional deviations, suggesting that ricin may use an induced fit mechanism to recognize and bind the rRNA substrate. The conserved Tyr-80 may play an important conformational entropic role in the binding and release of the target adenine in the active site.

  4. Evaluation of Supply Chain Efficiency Based on a Novel Network of Data Envelopment Analysis Model

    NASA Astrophysics Data System (ADS)

    Fu, Li Fang; Meng, Jun; Liu, Ying

    2015-12-01

    Performance evaluation of supply chain (SC) is a vital topic in SC management and inherently complex problems with multilayered internal linkages and activities of multiple entities. Recently, various Network Data Envelopment Analysis (NDEA) models, which opened the “black box” of conventional DEA, were developed and applied to evaluate the complex SC with a multilayer network structure. However, most of them are input or output oriented models which cannot take into consideration the nonproportional changes of inputs and outputs simultaneously. This paper extends the Slack-based measure (SBM) model to a nonradial, nonoriented network model named as U-NSBM with the presence of undesirable outputs in the SC. A numerical example is presented to demonstrate the applicability of the model in quantifying the efficiency and ranking the supply chain performance. By comparing with the CCR and U-SBM models, it is shown that the proposed model has higher distinguishing ability and gives feasible solution in the presence of undesirable outputs. Meanwhile, it provides more insights for decision makers about the source of inefficiency as well as the guidance to improve the SC performance.

  5. [Analysis and modelling of safety culture in a Mexican hospital by Markov chains].

    PubMed

    Velázquez-Martínez, J D; Cruz-Suárez, H; Santos-Reyes, J

    2016-01-01

    The objective of this study was to analyse and model the safety culture with Markov chains, as well as predicting and/or prioritizing over time the evolutionary behaviour of the safety culture of the health's staff in one Mexican hospital. The Markov chain theory has been employed in the analysis, and the input data has been obtained from a previous study based on the Safety Attitude Questionnaire (CAS-MX-II), by considering the following 6 dimensions: safety climate, teamwork, job satisfaction, recognition of stress, perception of management, and work environment. The results highlighted the predictions and/or prioritisation of the approximate time for the possible integration into the evolutionary behaviour of the safety culture as regards the "slightly agree" (Likert scale) for: safety climate (in 12 years; 24.13%); teamwork (8 years; 34.61%); job satisfaction (11 years; 52.41%); recognition of the level of stress (8 years; 19.35%); and perception of the direction (22 years; 27.87%). The work environment dimension was unable to determine the behaviour of staff information, i.e. no information cultural roots were obtained. In general, it has been shown that there are weaknesses in the safety culture of the hospital, which is an opportunity to suggest changes to the mandatory policies in order to strengthen it. Copyright © 2016 SECA. Publicado por Elsevier España, S.L.U. All rights reserved.

  6. Food loss rate in food supply chain using material flow analysis.

    PubMed

    Ju, Munsol; Osako, Masahiro; Harashina, Sachihiko

    2017-03-01

    The food loss rate is a factor that represents food consumption efficiency. To improve food consumption efficiency, we need to fundamentally quantify food loss at national and global levels. This study examines food and food waste flow and calculates the food loss rate in the food supply chain by targeting Japan. We analyzed inedible food waste and avoidable food losses in wholesale, manufacturing, retail, food services, and households and considered different supply chain pathways, different food categories representing whole Japanese meals, and weight changes after cooking. The results are as follows: (1) Japan has an overall rate of avoidable food losses of approximately 15% for meals (excluding agricultural losses), (2) the supply sector with the highest food loss rate is food services, and (3) the food category with the highest food loss rate is vegetables. Finally, we proposed a model for calculating food loss rates that could be used for future analysis in Japan or other countries. Copyright © 2017 Elsevier Ltd. All rights reserved.

  7. Improving Bayesian analysis for LISA Pathfinder using an efficient Markov Chain Monte Carlo method

    NASA Astrophysics Data System (ADS)

    Ferraioli, Luigi; Porter, Edward K.; Armano, Michele; Audley, Heather; Congedo, Giuseppe; Diepholz, Ingo; Gibert, Ferran; Hewitson, Martin; Hueller, Mauro; Karnesis, Nikolaos; Korsakova, Natalia; Nofrarias, Miquel; Plagnol, Eric; Vitale, Stefano

    2014-02-01

    We present a parameter estimation procedure based on a Bayesian framework by applying a Markov Chain Monte Carlo algorithm to the calibration of the dynamical parameters of the LISA Pathfinder satellite. The method is based on the Metropolis-Hastings algorithm and a two-stage annealing treatment in order to ensure an effective exploration of the parameter space at the beginning of the chain. We compare two versions of the algorithm with an application to a LISA Pathfinder data analysis problem. The two algorithms share the same heating strategy but with one moving in coordinate directions using proposals from a multivariate Gaussian distribution, while the other uses the natural logarithm of some parameters and proposes jumps in the eigen-space of the Fisher Information matrix. The algorithm proposing jumps in the eigen-space of the Fisher Information matrix demonstrates a higher acceptance rate and a slightly better convergence towards the equilibrium parameter distributions in the application to LISA Pathfinder data. For this experiment, we return parameter values that are all within ˜1 σ of the injected values. When we analyse the accuracy of our parameter estimation in terms of the effect they have on the force-per-unit of mass noise, we find that the induced errors are three orders of magnitude less than the expected experimental uncertainty in the power spectral density.

  8. Respiratory Chain Analysis of Zymomonas mobilis Mutants Producing High Levels of Ethanol

    PubMed Central

    Kato, Tsuyoshi; Furukawa, Kensuke

    2012-01-01

    We previously isolated respiratory-deficient mutant (RDM) strains of Zymomonas mobilis, which exhibited greater growth and enhanced ethanol production under aerobic conditions. These RDM strains also acquired thermotolerance. Morphologically, the cells of all RDM strains were shorter compared to the wild-type strain. We investigated the respiratory chains of these RDM strains and found that some RDM strains lost NADH dehydrogenase activity, whereas others exhibited reduced cytochrome bd-type ubiquinol oxidase or ubiquinol peroxidase activities. Complementation experiments restored the wild-type phenotype. Some RDM strains seem to have certain mutations other than the corresponding respiratory chain components. RDM strains with deficient NADH dehydrogenase activity displayed the greatest amount of aerobic growth, enhanced ethanol production, and thermotolerance. Nucleotide sequence analysis revealed that all NADH dehydrogenase-deficient strains were mutated within the ndh gene, which includes insertion, deletion, or frameshift. These results suggested that the loss of NADH dehydrogenase activity permits the acquisition of higher aerobic growth, enhanced ethanol production, and thermotolerance in this industrially important strain. PMID:22660712

  9. Locations of Racism in Education: A Speech Act Analysis of a Policy Chain

    ERIC Educational Resources Information Center

    Arneback, Emma; Quennerstedt, Ann

    2016-01-01

    This article explores how racism is located in an educational policy chain and identifies how its interpretation changes throughout the chain. A basic assumption is that the policy formation process can be seen as a chain in which international, national and local policies are "links"--separate entities yet joined. With Sweden as the…

  10. Locations of Racism in Education: A Speech Act Analysis of a Policy Chain

    ERIC Educational Resources Information Center

    Arneback, Emma; Quennerstedt, Ann

    2016-01-01

    This article explores how racism is located in an educational policy chain and identifies how its interpretation changes throughout the chain. A basic assumption is that the policy formation process can be seen as a chain in which international, national and local policies are "links"--separate entities yet joined. With Sweden as the…

  11. Empirical Markov Chain Monte Carlo Bayesian analysis of fMRI data.

    PubMed

    de Pasquale, F; Del Gratta, C; Romani, G L

    2008-08-01

    In this work an Empirical Markov Chain Monte Carlo Bayesian approach to analyse fMRI data is proposed. The Bayesian framework is appealing since complex models can be adopted in the analysis both for the image and noise model. Here, the noise autocorrelation is taken into account by adopting an AutoRegressive model of order one and a versatile non-linear model is assumed for the task-related activation. Model parameters include the noise variance and autocorrelation, activation amplitudes and the hemodynamic response function parameters. These are estimated at each voxel from samples of the Posterior Distribution. Prior information is included by means of a 4D spatio-temporal model for the interaction between neighbouring voxels in space and time. The results show that this model can provide smooth estimates from low SNR data while important spatial structures in the data can be preserved. A simulation study is presented in which the accuracy and bias of the estimates are addressed. Furthermore, some results on convergence diagnostic of the adopted algorithm are presented. To validate the proposed approach a comparison of the results with those from a standard GLM analysis, spatial filtering techniques and a Variational Bayes approach is provided. This comparison shows that our approach outperforms the classical analysis and is consistent with other Bayesian techniques. This is investigated further by means of the Bayes Factors and the analysis of the residuals. The proposed approach applied to Blocked Design and Event Related datasets produced reliable maps of activation.

  12. Purification, Characterization, and Analysis of the Allergenic Properties of Myosin Light Chain in Procambarus clarkii.

    PubMed

    Zhang, Yong-Xia; Chen, Heng-Li; Maleki, Soheila J; Cao, Min-Jie; Zhang, Ling-Jing; Su, Wen-Jin; Liu, Guang-Ming

    2015-07-15

    Myosin light chain (MLC) plays a vital role in cell and muscle functions and has been identified as an allergen in shrimp. In this study, MLC with a molecular mass of 18 kDa was purified from crayfish (Procambarus clarkii) muscle. Its physicochemical characterization showed that the purified MLC is a glycoprotein with 4.3% carbohydrate, highly stable to heat, acid-alkali, and digestion, and weakly retains IgE-binding activity when its secondary structure was altered. Serological assays suggested that conformational epitopes predominate over linear epitopes in the purified MLC. Two isoforms of the MLC gene (MLC1 and MLC2) were cloned, and the purified MLC was identified as MLC1. Analysis of the secondary and tertiary structures of the MLCs indicated that MLC1 has four conformational epitopes and three linear epitopes, whereas MLC2 had a major conformational epitope and three linear epitopes. These results are significant for understanding hypersensitization of humans to crayfish.

  13. Gene analysis of multiple oral bacteria by the polymerase chain reaction coupled with capillary polymer electrophoresis.

    PubMed

    Liu, Chenchen; Yamaguchi, Yoshinori; Sekine, Shinichi; Ni, Yi; Li, Zhenqing; Zhu, Xifang; Dou, Xiaoming

    2016-03-01

    Capillary polymer electrophoresis is identified as a promising technology for the analysis of DNA from bacteria, virus and cell samples. In this paper, we propose an innovative capillary polymer electrophoresis protocol for the quantification of polymerase chain reaction products. The internal standard method was modified and applied to capillary polymer electrophoresis. The precision of our modified internal standard protocol was evaluated by measuring the relative standard deviation of intermediate capillary polymer electrophoresis experiments. Results showed that the relative standard deviation was reduced from 12.4-15.1 to 0.6-2.3%. Linear regression tests were also implemented to validate our protocol. The modified internal standard method showed good linearity and robust properties. Finally, the ease of our method was illustrated by analyzing a real clinical oral sample using a one-run capillary polymer electrophoresis experiment.

  14. Analysis of raw meats and fats of pigs using polymerase chain reaction for Halal authentication.

    PubMed

    Aida, A A; Che Man, Y B; Wong, C M V L; Raha, A R; Son, R

    2005-01-01

    A method for species identification from pork and lard samples using polymerase chain reaction (PCR) analysis of a conserved region in the mitochondrial (mt) cytochrome b (cyt b) gene has been developed. Genomic DNA of pork and lard were extracted using Qiagen DNeasy(®) Tissue Kits and subjected to PCR amplification targeting the mt cyt b gene. The genomic DNA from lard was found to be of good quality and produced clear PCR products on the amplification of the mt cyt b gene of approximately 360 base pairs. To distinguish between species, the amplified PCR products were cut with restriction enzyme BsaJI resulting in porcine-specific restriction fragment length polymorphisms (RFLP). The cyt b PCR-RFLP species identification assay yielded excellent results for identification of pig species. It is a potentially reliable technique for detection of pig meat and fat from other animals for Halal authentication.

  15. Immunohistochemical and morphometric analysis of immunoglobulin light-chain immunoreactive amyloid in psammoma bodies of the human choroid plexus.

    PubMed

    Jovanović, Ivan; Ugrenović, Sladjana; Vasović, Ljiljana; Stojanović, Ivan

    2014-03-01

    The aim of this research was to establish the presence of amyloid and to quantify immunohistochemical reactions of kappa and lambda light chains of psammoma bodies of the choroid plexus. Choroid plexus tissue obtained from 14 right lateral ventricles postmortem was processed histologically and stained with Congo red, thioflavin T, and monoclonal antibodies for kappa and lambda light chains. Morphological analysis was performed with a light microscope at lens magnifications of 4×, 10×, 20×, 25×, and 40×. The morphometric characteristics of psammoma bodies that were kappa and lambda positive and negative were analyzed with ImageJ. Histological analysis showed that the psammoma bodies, stromal blood vessel walls, and some epithelial cells reacted positively with Congo red and thioflavin T. Psammoma bodies were predominantly positive for lambda light chains. Lambda positivity was detected inside some stromal blood vessels, which pointed to a probable systemic origin for these light chains. Morphometric analysis showed that the mean optical densities of lambda- and kappa-positive psammoma bodies were significantly higher than those that gave a negative reaction. The percentage of lambda-positive psammoma bodies was significantly higher than the percentage of lambda-negative psammoma bodies in 80% of the cases, while the reaction with kappa light chains was negative in the majority of the cases. Linear regression analysis showed a significant increase in the percentage of lambda-positive psammoma bodies and their mean optical density with age. Finally, it can be concluded that the positive reaction of psammoma bodies in the choroid plexus with respect to amyloid and lambda light chains may point to the presence of light-chain amyloid in their structures.

  16. Analysis of decay chains of superheavy nuclei produced in the 249Bk+48Ca and 243Am+48Ca reactions

    NASA Astrophysics Data System (ADS)

    Zlokazov, V. B.; Utyonkov, V. K.

    2017-07-01

    The analysis of decay chains starting at superheavy nuclei 293Ts and 289Mc is presented. The spectroscopic properties of nuclei identified during the experiments using the 249Bk+48Ca and 243Am+48Ca reactions studied at the gas-filled separators DGFRS, TASCA and BGS are considered. We present the analysis of decay data using widely adopted statistical methods and applying them to the short decay chains of parent odd-Z nuclei. We find out that the recently suggested method of analyzing decay chains by Forsberg et al may lead to questionable conclusions when applied for the analysis of radioactive decays. Our discussion demonstrates reasonable congruence of α-particle energies and decay times of nuclei assigned to isotopes 289Mc, 285Nh and 281Rg observed in both reactions.

  17. Preliminary identification of hemoglobin q-iran in an Iranian family from central province of Iran by globin chain analysis on HPLC.

    PubMed

    Khatami, Shohreh; Najmabadi, Hossein; Rouhi, Soghra; Mirzazadeh, Roghieh; Bayat, Parastoo; Sadeghi, Sedigheh

    2013-12-01

    Many abnormal α-chain hemoglobins (Hbs) are caused by single nucleotide mutations in α1- or α2-goblin genes. One of these Hbs is Hb Q-Iran which is resulted from a point mutation at codon 75 of the α1-globin gene (Asp→His). The identification of Hb Q-Iran was observed in two members of a family from the Central Province of Iran. In this study, Globin chain analysis on high performance liquid chromatography (HPLC) and DNA sequencing were applied. An unusual Hb variant, like HbS on alkaline pH electrophoresis was identified from samples of a father and his son from Arak city in the Central Province of Iran. The variant was further characterized by globin chain analysis and DNA sequencing methods. Globin chain analysis revealed an unknown globin chain peak after α-globin chain peak with a different retention time from βs-globin chain, as the control in both samples. Genetic analysis led to the identification of an unknown Hb variant, Hb Q-Iran. Globin chain analysis showed the presence of an unknown globin chain, and likewise DNA sequencing revealed HbQ-Iran. In other words, Globin chain analysis procedure could preliminarily detect an unknown globin chain.

  18. Effects of tour boats on dolphin activity examined with sensitivity analysis of Markov chains.

    PubMed

    Dans, Silvana Laura; Degrati, Mariana; Pedraza, Susana Noemí; Crespo, Enrique Alberto

    2012-08-01

    In Patagonia, Argentina, watching dolphins, especially dusky dolphins (Lagenorhynchus obscurus), is a new tourist activity. Feeding time decreases and time to return to feeding after feeding is abandoned and time it takes a group of dolphins to feed increase in the presence of boats. Such effects on feeding behavior may exert energetic costs on dolphins and thus reduce an individual's survival and reproductive capacity or maybe associated with shifts in distribution. We sought to predict which behavioral changes modify the activity pattern of dolphins the most. We modeled behavioral sequences of dusky dolphins with Markov chains. We calculated transition probabilities from one activity to another and arranged them in a stochastic matrix model. The proportion of time dolphins dedicated to a given activity (activity budget) and the time it took a dolphin to resume that activity after it had been abandoned (recurrence time) were calculated. We used a sensitivity analysis of Markov chains to calculate the sensitivity of the time budget and the activity-resumption time to changes in behavioral transition probabilities. Feeding-time budget was most sensitive to changes in the probability of dolphins switching from traveling to feeding behavior and of maintaining feeding behavior. Thus, an increase in these probabilities would be associated with the largest reduction in the time dedicated to feeding. A reduction in the probability of changing from traveling to feeding would also be associated with the largest increases in the time it takes dolphins to resume feeding. To approach dolphins when they are traveling would not affect behavior less because presence of the boat may keep dolphins from returning to feeding. Our results may help operators of dolphin-watching vessels minimize negative effects on dolphins. ©2012 Society for Conservation Biology.

  19. Effect of specimen type on free immunoglobulin light chains analysis on the Roche Diagnostics cobas 8000 analyzer.

    PubMed

    Nelson, Louis S; Steussy, Bryan; Morris, Cory S; Krasowski, Matthew D

    2015-01-01

    The measurement of free immunoglobulin light chains is typically performed on serum; however, the use of alternative specimen types has potential benefits. Using the Freelite™ kappa and lambda free light chains assay on a Roche Diagnostics cobas 8000 c502 analyzer, we compared three specimen types (serum, EDTA-plasma and lithium heparin plasma separator gel-plasma) on 100 patients. Using Deming regression and eliminating outliers (limiting data to light chain concentrations below 400 mg/L), the three specimen types showed comparable results for kappa light chain concentration, lambda light chain concentration, and kappa/lambda ratio with slopes close to 1.0 and y-intercepts close to zero. EDTA-plasma showed slightly more positive bias relative to serum than lithium heparin. Analysis using EDTA-plasma and lithium heparin plasma showed comparable linearity, precision, and temperature stability. A single sample showing hook effect (not in the comparison set) gave comparable results using either plasma specimen type. For the Freelite™ kappa and lambda free light chains assay, both EDTA-plasma or lithium heparin-plasma can serve as acceptable substitutes for serum, at least for the Roche cobas 8000 analyzer.

  20. Analysis of ligase chain reaction products amplified in a silicon-glass chip using capillary electrophoresis.

    PubMed

    Cheng, J; Shoffner, M A; Mitchelson, K R; Kricka, L J; Wilding, P

    1996-04-26

    Ligase chain reaction (LCR) is a useful molecular technique for detecting known point mutations. We report the first example of the use of a disposable silicon-glass micro-chip for LCR and the first application of capillary electrophoresis (CE) to analyze samples amplified by LCR in a chip. Silicon-glass chips were manufactured using conventional photolithography and anodic bonding. The chips provide three distinct advantages for LCR: excellent thermal conductivity, a micro reaction volume ( < 10 microliters), and reproducible, low-cost manufacturing. Investigation and quantitation of amplification efficiency of LCR in a chip or in a tube requires an analytical technique that is faster and more convenient than the conventional slab gel methods. Slab gel electrophoresis uses relatively large amounts of sample and is labor-intensive and time-consuming, and thus is unsuitable for the separation and detection of LCR products. In contrast CE requires sample volume (original LCR products) of less than 1 microliter and is therefore well-suited to analysis of the micro-volume reaction mixture from chips. We combined CE with a sensitive laser induced fluorescence (LIF) detection system for the rapid separation and quantitative detection of LCR products amplified from the lacI gene in a silicon-glass chip. Comparative studies were made with LCR between tubes and silicon-glass chips. CE-LIF analysis is ideally suited to examination of micro-LCR amplification with high throughput. The technologies may find medical uses in disease diagnosis and research.

  1. A new method for quantitative real-time polymerase chain reaction data analysis.

    PubMed

    Rao, Xiayu; Lai, Dejian; Huang, Xuelin

    2013-09-01

    Quantitative real-time polymerase chain reaction (qPCR) is a sensitive gene quantification method that has been extensively used in biological and biomedical fields. The currently used methods for PCR data analysis, including the threshold cycle method and linear and nonlinear model-fitting methods, all require subtracting background fluorescence. However, the removal of background fluorescence can hardly be accurate and therefore can distort results. We propose a new method, the taking-difference linear regression method, to overcome this limitation. Briefly, for each two consecutive PCR cycles, we subtract the fluorescence in the former cycle from that in the latter cycle, transforming the n cycle raw data into n-1 cycle data. Then, linear regression is applied to the natural logarithm of the transformed data. Finally, PCR amplification efficiencies and the initial DNA molecular numbers are calculated for each reaction. This taking-difference method avoids the error in subtracting an unknown background, and thus it is more accurate and reliable. This method is easy to perform, and this strategy can be extended to all current methods for PCR data analysis.

  2. Laser-Assisted Microdissection of Membrane-Mounted Paraffin Sections for Polymerase Chain Reaction Analysis

    PubMed Central

    Gjerdrum, Lise Mette; Lielpetere, Ilze; Rasmussen, Lars Melholt; Bendix, Knud; Hamilton-Dutoit, Stephen

    2001-01-01

    Laser microbeam microdissection (LMM) is an increasingly important method for obtaining pure cell samples for genetic and proteomic analysis. Immunohistochemistry (IHC) and in situ hybridization (ISH) are useful techniques for targeting specific cell populations for microdissection but are difficult to apply with the tissue support membranes often used during LMM. Using detection of cytokeratins and Epstein-Barr virus gene products in head and neck carcinoma as a model, we describe optimized protocols for membrane and section preparation and for low temperature antigen retrieval that allow IHC and ISH to be used reliably on membrane mounted paraffin tissue sections. Visualization of cellular targets was markedly improved by staining and this could be further improved using a variety of optical media before microdissection. Tissue fragments thus stained were suitable for subsequent polymerase chain reaction analysis of extracted DNA using standard techniques. These IHC and ISH procedures are generally applicable and will be useful for detecting a wide range of antigens and nucleic acids in paraffin sections in conjunction with LMM. PMID:11486049

  3. Model Reduction Using Principal Component Analysis and Markov Chain Monte Carlo for Hydrogeological Inverse Problems

    NASA Astrophysics Data System (ADS)

    Zhao, Y.; Rathore, S.; Chen, J.; Hoversten, G. M.; Luo, J.

    2016-12-01

    Inverse problems in hydrogeological applications often require estimation of a large number of unknown parameters ranging from hundreds to millions. Such problems are computationally prohibitive. To efficiently deal with such high-dimensional problems, model reduction techniques are usually introduced to improve computational performance of traditional inversion method. In this study, we explored the feasibility and effectiveness of Principal Component Analysis (PCA) and Markov Chain Monte Carlo (MCMC) for model reduction using error-involved synthetic data. A 1-D groundwater pumping test is implemented on randomly generated hydraulic conductivity field, then computed head distribution adding random errors is treated as available data for inversing the original hydraulic conductivity field. We run full-dimensional inverse method a few times to generate training set for constructing experienced covariance matrix. Principal Component Analysis is implemented on the experienced covariance matrix to reduce dimensionality of the inverse problem. MCMC is implemented to draw samples from the reduced variable space for providing best estimate and quantifying uncertainty. The synthetic data study demonstrates that PCA-MCMC method can successfully provide reasonable estimate of hydraulic conductivity using biased data and effectively reduce computational time and storage usage. It is also noticed that a tradeoff exists between model simplicity and uncertainty quantification - a highly-reduced model causes narrower confidential intervals, sometimes implying insufficient uncertainty quantification. Thus the extent of model reduction should be wisely manipulated in light of specific problem requirements.

  4. Accuracy of mucocutaneous leishmaniasis diagnosis using polymerase chain reaction: systematic literature review and meta-analysis

    PubMed Central

    Gomes, Ciro Martins; Mazin, Suleimy Cristina; dos Santos, Elisa Raphael; Cesetti, Mariana Vicente; Bächtold, Guilherme Albergaria Brízida; Cordeiro, João Henrique de Freitas; Theodoro, Fabrício Claudino Estrela Terra; Damasco, Fabiana dos Santos; Carranza, Sebastián Andrés Vernal; Santos, Adriana de Oliveira; Roselino, Ana Maria; Sampaio, Raimunda Nonata Ribeiro

    2015-01-01

    The diagnosis of mucocutaneous leishmaniasis (MCL) is hampered by the absence of a gold standard. An accurate diagnosis is essential because of the high toxicity of the medications for the disease. This study aimed to assess the ability of polymerase chain reaction (PCR) to identify MCL and to compare these results with clinical research recently published by the authors. A systematic literature review based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA Statement was performed using comprehensive search criteria and communication with the authors. A meta-analysis considering the estimates of the univariate and bivariate models was performed. Specificity near 100% was common among the papers. The primary reason for accuracy differences was sensitivity. The meta-analysis, which was only possible for PCR samples of lesion fragments, revealed a sensitivity of 71% [95% confidence interval (CI) = 0.59; 0.81] and a specificity of 93% (95% CI = 0.83; 0.98) in the bivariate model. The search for measures that could increase the sensitivity of PCR should be encouraged. The quality of the collected material and the optimisation of the amplification of genetic material should be prioritised. PMID:25946238

  5. Multistationary and Oscillatory Modes of Free Radicals Generation by the Mitochondrial Respiratory Chain Revealed by a Bifurcation Analysis

    PubMed Central

    Selivanov, Vitaly A.; Cascante, Marta; Friedman, Mark; Schumaker, Mark F.; Trucco, Massimo; Votyakova, Tatyana V.

    2012-01-01

    The mitochondrial electron transport chain transforms energy satisfying cellular demand and generates reactive oxygen species (ROS) that act as metabolic signals or destructive factors. Therefore, knowledge of the possible modes and bifurcations of electron transport that affect ROS signaling provides insight into the interrelationship of mitochondrial respiration with cellular metabolism. Here, a bifurcation analysis of a sequence of the electron transport chain models of increasing complexity was used to analyze the contribution of individual components to the modes of respiratory chain behavior. Our algorithm constructed models as large systems of ordinary differential equations describing the time evolution of the distribution of redox states of the respiratory complexes. The most complete model of the respiratory chain and linked metabolic reactions predicted that condensed mitochondria produce more ROS at low succinate concentration and less ROS at high succinate levels than swelled mitochondria. This prediction was validated by measuring ROS production under various swelling conditions. A numerical bifurcation analysis revealed qualitatively different types of multistationary behavior and sustained oscillations in the parameter space near a region that was previously found to describe the behavior of isolated mitochondria. The oscillations in transmembrane potential and ROS generation, observed in living cells were reproduced in the model that includes interaction of respiratory complexes with the reactions of TCA cycle. Whereas multistationarity is an internal characteristic of the respiratory chain, the functional link of respiration with central metabolism creates oscillations, which can be understood as a means of auto-regulation of cell metabolism. PMID:23028295

  6. Falling Chains as Variable-Mass Systems: Theoretical Model and Experimental Analysis

    ERIC Educational Resources Information Center

    de Sousa, Celia A.; Gordo, Paulo M.; Costa, Pedro

    2012-01-01

    In this paper, we revisit, theoretically and experimentally, the fall of a folded U-chain and of a pile-chain. The model calculation implies the division of the whole system into two subsystems of variable mass, allowing us to explore the role of tensional contact forces at the boundary of the subsystems. This justifies, for instance, that the…

  7. Analysis of production-inventory decisions in a decentralized supply chain with price-dependent demand

    NASA Astrophysics Data System (ADS)

    Kurdhi, N. A.; Irsanianto, S. T.; Sutanto

    2017-01-01

    In this paper, we consider a production-inventory supply chain system with single-manufacturer and single-retailer. There are many types of contract that guarantee the supply chain. However, the administrative costs of the contract are usually neglected in real situation. The additional gain from integration may not cover the extra administrative costs may not addressed to supply chain. Therefore, a Stackelberg game and RFM policy are examined in order to investigate its performance on supply chain. The RFM policy is applied because its administrative costs are lower than othe policies. Although RFM policy is not capable of coordinating the channel, it leads to considerable improvements over the channel. The purpose of this research is to present a model of integrated policy, in which the goal is to maximize the whole system profit, and to evaluate decentralized-Stackelberg and RFM policies, in which individual firms in the supply chain have their own objectives and decisions to optimize.

  8. Polymerase chain reaction analysis of aqueous humour samples in necrotising retinitis

    PubMed Central

    Tran, T H C; Rozenberg, F; Cassoux, N; Rao, N A; LeHoang, P; Bodaghi, B

    2003-01-01

    Aim: To evaluate the diagnostic value of polymerase chain reaction (PCR) performed on aqueous humour for the detection of viral DNA in patients with necrotising herpetic retinitis. Methods: The clinical features and laboratory results of 22 patients (29 eyes) presenting with necrotising herpetic retinitis between March 1999 and June 2001 were reviewed retrospectively. Aqueous humour was obtained after anterior chamber paracentesis and PCR was performed in all cases. Results: Viral DNA was detected in the aqueous humour of 19 patients (86.4%). Epstein-Barr virus (EBV) seroconversion was evidenced in one additional patient. In the acute retinal necrosis (ARN) group (n = 19), varicella zoster virus (VZV) DNA was identified in six patients, herpes simplex virus 1 (HSV-1) DNA in two patients, herpes simplex virus 2 (HSV-2) DNA in four patients, and cytomegalovirus (CMV) genome in four patients. In the progressive outer retinal necrosis (PORN) group (n = 3), VZV DNA was detected in all patients. No sample was positive for more than one virus. Conclusions: PCR analysis of aqueous humour in patients with clinical features of necrotising viral retinitis can provide specific aetiological orientation and the method appears to be safe and highly sensitive. PMID:12488268

  9. Combined survival analysis of cardiac patients by a Cox PH model and a Markov chain.

    PubMed

    Shauly, Michal; Rabinowitz, Gad; Gilutz, Harel; Parmet, Yisrael

    2011-10-01

    The control and treatment of dyslipidemia is a major public health challenge, particularly for patients with coronary heart diseases. In this paper we propose a framework for survival analysis of patients who had a major cardiac event, focusing on assessment of the effect of changing LDL-cholesterol level and statins consumption on survival. This framework includes a Cox PH model and a Markov chain, and combines their results into reinforced conclusions regarding the factors that affect survival time. We prospectively studied 2,277 cardiac patients, and the results show high congruence between the Markov model and the PH model; both evidence that diabetes, history of stroke, peripheral vascular disease and smoking significantly increase hazard rate and reduce survival time. On the other hand, statin consumption is correlated with a lower hazard rate and longer survival time in both models. The role of such a framework in understanding the therapeutic behavior of patients and implementing effective secondary and primary prevention of heart diseases is discussed here.

  10. Markov chain Monte Carlo analysis to constrain dark matter properties with directional detection

    SciTech Connect

    Billard, J.; Mayet, F.; Santos, D.

    2011-04-01

    Directional detection is a promising dark matter search strategy. Indeed, weakly interacting massive particle (WIMP)-induced recoils would present a direction dependence toward the Cygnus constellation, while background-induced recoils exhibit an isotropic distribution in the Galactic rest frame. Taking advantage of these characteristic features, and even in the presence of a sizeable background, it has recently been shown that data from forthcoming directional detectors could lead either to a competitive exclusion or to a conclusive discovery, depending on the value of the WIMP-nucleon cross section. However, it is possible to further exploit these upcoming data by using the strong dependence of the WIMP signal with: the WIMP mass and the local WIMP velocity distribution. Using a Markov chain Monte Carlo analysis of recoil events, we show for the first time the possibility to constrain the unknown WIMP parameters, both from particle physics (mass and cross section) and Galactic halo (velocity dispersion along the three axis), leading to an identification of non-baryonic dark matter.

  11. Complex Network Analysis for Characterizing Global Value Chains in Equipment Manufacturing.

    PubMed

    Xiao, Hao; Sun, Tianyang; Meng, Bo; Cheng, Lihong

    2017-01-01

    The rise of global value chains (GVCs) characterized by the so-called "outsourcing", "fragmentation production", and "trade in tasks" has been considered one of the most important phenomena for the 21st century trade. GVCs also can play a decisive role in trade policy making. However, due to the increasing complexity and sophistication of international production networks, especially in the equipment manufacturing industry, conventional trade statistics and the corresponding trade indicators may give us a distorted picture of trade. This paper applies various network analysis tools to the new GVC accounting system proposed by Koopman et al. (2014) and Wang et al. (2013) in which gross exports can be decomposed into value-added terms through various routes along GVCs. This helps to divide the equipment manufacturing-related GVCs into some sub-networks with clear visualization. The empirical results of this paper significantly improve our understanding of the topology of equipment manufacturing-related GVCs as well as the interdependency of countries in these GVCs that is generally invisible from the traditional trade statistics.

  12. Analysis of somatic hypermutation in mouse Peyer's patches using immunoglobulin kappa light-chain transgenes.

    PubMed Central

    González-Fernández, A; Milstein, C

    1993-01-01

    We have exploited mice transgenic for an immunoglobulin kappa light chain in order to show that immunoglobulin genes in the B cells of Peyer's patches in unimmunized mice carry a high level of somatic mutations. Most of the mutations are found in the subpopulation of B cells which, based on peanut agglutinin binding, derive from the germinal centers. The number of mutations per clone and their distribution along the variable gene segment (indicative of untemplated point mutations) are very similar to those found in antigen-specific splenic B cells of normal mice after secondary immunization. The mutations accumulate mainly in complementarity-determining region 1, in particular in some specific codons (Ser-26, Ser-31, and Ser-77) which have been previously recognized as intrinsic hypermutational hotspots. These results suggest that, as in the spleen, somatic mutation occurs in B cells which have migrated to the germinal centers, probably as a consequence of stimulation by antigens present in the gut environment. Transgenic animals are increasingly being used to define the signals involved in hypermutation. However, their subsequent study is very time-consuming because it is based on immunization and analysis of hybridomas or antigen-selected cells. We propose that the use of Peyer's patches of unimmunized adult mice offers a reliable and simple approach to analyze hypermutation of transgenes. PMID:8234326

  13. Comprehensive analysis and characterization of the TCR alpha chain sequences in the common marmoset.

    PubMed

    Fujii, Yoshiki; Matsutani, Takaji; Kitaura, Kazutaka; Suzuki, Satsuki; Itoh, Tsunetoshi; Takasaki, Tomohiko; Suzuki, Ryuji; Kurane, Ichiro

    2010-06-01

    The common marmoset (Callithrix jacchus) is useful as a nonhuman primate model of human diseases. Although the marmoset model has great potential for studying autoimmune diseases and immune responses against pathogens, little information is available regarding the genes involved in adaptive immunity. Here, we identified one TCR alpha constant (TRAC), 46 TRAJ (joining), and 35 TRAV (variable) segments from marmoset cDNA. Marmoset TRAC, TRAJ, and TRAV shared 80%, 68-100%, and 79-98% identity with their human counterparts at the amino acid level, respectively. The amino acid sequences were less conserved in TRAC than in TCRbeta chain constant (TRBC). Comparative analysis of TRAV between marmosets and humans showed that the rates of synonymous substitutions per site (d(S)) were not significantly different between the framework regions (FRs) and complementarity determining regions (CDRs), whereas the rates of nonsynonymous substitutions per site (d(N)) were significantly lower in the FRs than in CDRs. Interestingly, the d(N) values of the CDRs were greater for TRBV than TRAV. These results suggested that after the divergence of Catarrhini from Platyrrhini, amino acid substitutions were decreased in the FRs by purifying selection and occurred more frequently in CDRbeta than in CDRalpha by positive selection, probably depending on structural and functional constraints. This study provides not only useful information facilitating the investigation of adaptive immunity using the marmoset model but also new insight into the molecular evolution of the TCR heterodimer in primate species.

  14. Automated Microfluidic Platform for Serial Polymerase Chain Reaction and High-Resolution Melting Analysis.

    PubMed

    Cao, Weidong; Bean, Brian; Corey, Scott; Coursey, Johnathan S; Hasson, Kenton C; Inoue, Hiroshi; Isano, Taisuke; Kanderian, Sami; Lane, Ben; Liang, Hongye; Murphy, Brian; Owen, Greg; Shinoda, Nobuhiko; Zeng, Shulin; Knight, Ivor T

    2016-06-01

    We report the development of an automated genetic analyzer for human sample testing based on microfluidic rapid polymerase chain reaction (PCR) with high-resolution melting analysis (HRMA). The integrated DNA microfluidic cartridge was used on a platform designed with a robotic pipettor system that works by sequentially picking up different test solutions from a 384-well plate, mixing them in the tips, and delivering mixed fluids to the DNA cartridge. A novel image feedback flow control system based on a Canon 5D Mark II digital camera was developed for controlling fluid movement through a complex microfluidic branching network without the use of valves. The same camera was used for measuring the high-resolution melt curve of DNA amplicons that were generated in the microfluidic chip. Owing to fast heating and cooling as well as sensitive temperature measurement in the microfluidic channels, the time frame for PCR and HRMA was dramatically reduced from hours to minutes. Preliminary testing results demonstrated that rapid serial PCR and HRMA are possible while still achieving high data quality that is suitable for human sample testing. © 2015 Society for Laboratory Automation and Screening.

  15. Polymerase chain reaction analysis of aqueous humour samples in necrotising retinitis.

    PubMed

    Tran, T H C; Rozenberg, F; Cassoux, N; Rao, N A; LeHoang, P; Bodaghi, B

    2003-01-01

    To evaluate the diagnostic value of polymerase chain reaction (PCR) performed on aqueous humour for the detection of viral DNA in patients with necrotising herpetic retinitis. The clinical features and laboratory results of 22 patients (29 eyes) presenting with necrotising herpetic retinitis between March 1999 and June 2001 were reviewed retrospectively. Aqueous humour was obtained after anterior chamber paracentesis and PCR was performed in all cases. Viral DNA was detected in the aqueous humour of 19 patients (86.4%). Epstein-Barr virus (EBV) seroconversion was evidenced in one additional patient. In the acute retinal necrosis (ARN) group (n = 19), varicella zoster virus (VZV) DNA was identified in six patients, herpes simplex virus 1 (HSV-1) DNA in two patients, herpes simplex virus 2 (HSV-2) DNA in four patients, and cytomegalovirus (CMV) genome in four patients. In the progressive outer retinal necrosis (PORN) group (n = 3), VZV DNA was detected in all patients. No sample was positive for more than one virus. PCR analysis of aqueous humour in patients with clinical features of necrotising viral retinitis can provide specific aetiological orientation and the method appears to be safe and highly sensitive.

  16. Markov chain Monte Carlo linkage analysis: effect of bin width on the probability of linkage.

    PubMed

    Slager, S L; Juo, S H; Durner, M; Hodge, S E

    2001-01-01

    We analyzed part of the Genetic Analysis Workshop (GAW) 12 simulated data using Monte Carlo Markov chain (MCMC) methods that are implemented in the computer program Loki. The MCMC method reports the "probability of linkage" (PL) across the chromosomal regions of interest. The point of maximum PL can then be taken as a "location estimate" for the location of the quantitative trait locus (QTL). However, Loki does not provide a formal statistical test of linkage. In this paper, we explore how the bin width used in the calculations affects the max PL and the location estimate. We analyzed age at onset (AO) and quantitative trait number 5, Q5, from 26 replicates of the general simulated data in one region where we knew a major gene, MG5, is located. For each trait, we found the max PL and the corresponding location estimate, using four different bin widths. We found that bin width, as expected, does affect the max PL and the location estimate, and we recommend that users of Loki explore how their results vary with different bin widths.

  17. Stir bar sorptive extraction for the analysis of short-chain chlorinated paraffins in water.

    PubMed

    Llorca-Porcel, Julio; Martínez-Soriano, Esther; Valor, Ignacio

    2009-05-01

    An optimised method using stir bar sorptive extraction (SBSE) and a thermal desorption-GC-electron capture detector (GC-ECD) for the determination of short-chain chlorinated paraffins from water samples was developed. Recoveries near to 100% were obtained by using 20 mm x 0.5 mm (length x film thickness) PDMS commercial stir bars from 200 mL spiked water samples and 20% methanol addition with an extraction period of 24 h. Method sensitivity, linearity and precision were evaluated for surface water and wastewater spiked samples. A LOD of 0.03 and 0.04 microg/L was calculated for surface and wastewater, respectively. The precision of the method given as an RSD was below 20% for both matrices. The developed method was applied for the analysis of two real samples from a contaminated river and a wastewater treatment plant. Results were in accordance with those obtained using a previously developed method based on solid phase microextraction (SPME).

  18. Solid-phase microextraction for the analysis of short-chain chlorinated paraffins in water samples.

    PubMed

    Castells, P; Santos, F J; Galceran, M T

    2003-01-10

    A novel solid-phase microextraction (SPME) method coupled to gas chromatography with electron capture detection (GC-ECD) was developed as an alternative to liquid-liquid and solid-phase extraction for the analysis of short-chain chlorinated paraffins (SCCPs) in water samples. The extraction efficiency of five different commercially available fibres was evaluated and the 100-microm polydimethylsiloxane coating was the most suitable for the absorption of the SCCPs. Optimisation of several SPME parameters, such as extraction time and temperature, ionic strength and desorption time, was performed. Quality parameters were established using Milli-Q, tap water and river water. Linearity ranged between 0.06 and 6 microg l(-1) for spiked Milli-Q water and between 0.6 and 6 microg l(-1) for natural waters. The precision of the SPME-GC-ECD method for the three aqueous matrices was similar and gave relative standard deviations (RSD) between 12 and 14%. The limit of detection (LOD) was 0.02 microg l(-1) for Milli-Q water and 0.3 microg l(-1) for both tap water and river water. The optimised SPME-GC-ECD method was successfully applied to the determination of SCCPs in river water samples.

  19. A Markov chain analysis of fish movements to determine entrainment zones

    SciTech Connect

    Johnson, Gary E.; Hedgepeth, J.; Skalski, John R.; Giorgi, Albert E.

    2004-06-01

    The extent of the biological zone of influence (BZI) of a water withdrawal port, such as a cooling water intake or a smolt bypass, directly reflects its local effect on fish. This study produced a new technique to determine the BZI, defined as the region immediately upstream of a portal where the probability of fish movement toward the portal is greater than 90%. We developed and applied the technique at The Dalles Dam on the Columbia River, where the ice/trash sluiceway functions as a surface flow smolt bypass. To map the BZI, we applied a Markov-Chain analysis to smolt movement data collected with an active fish tracking sonar system. Probabilities of fish movement from cell to cell in the sample volume, calculated from tracked fish data, formed a Markov transition matrix. Multiplying this matrix by itself many times with absorption at the boundaries produced estimates of probability of passage out each side of the sample volume from the cells within. The BZI of a sluiceway entrance at The Dalles Dam was approximately 5 m across and extended 6-8 m out from the face of the dam in the surface layer 2-3 m deep. BZI mapping is applicable to many bioengineering efforts to protect fish populations.

  20. Sensitive and species-specific detection of Erwinia amylovora by polymerase chain reaction analysis.

    PubMed Central

    Bereswill, S; Pahl, A; Bellemann, P; Zeller, W; Geider, K

    1992-01-01

    Detection and identification of the fire blight pathogen, Erwinia amylovora, can be accurately done by polymerase chain reaction (PCR) analysis in less than 6 h. Two oligomers derived from a 29-kb plasmid which is common to all strains of E. amylovora were used to amplify a 0.9-kb fragment of the plasmid. By separation of the PCR products on agarose gel, this fragment wa specifically detected when E. amylovora DNA was present in the amplification assay. It was not found when DNA from other plant-pathogenic bacteria was used for the assay. A visible band specific to the 0.9-kb fragment was produced with DNA from fewer than 100 E. amylovora cells. A signal of similar strength was also obtained from E. amylovora cell lysates in the presence of the mild detergent Tween 20. Signals were weaker when bacteria were added to the PCR mixture without the detergent. As with results obtained from hybridization experiments using pEA29 DNA< the PCR signal was obtained with E. amylovora isolates from various geographic regions. This technique could also be used for detection of the fire blight pathogen in extracts of tissue obtained from infected plant material. Images PMID:1482178

  1. Complex Network Analysis for Characterizing Global Value Chains in Equipment Manufacturing

    PubMed Central

    Meng, Bo; Cheng, Lihong

    2017-01-01

    The rise of global value chains (GVCs) characterized by the so-called “outsourcing”, “fragmentation production”, and “trade in tasks” has been considered one of the most important phenomena for the 21st century trade. GVCs also can play a decisive role in trade policy making. However, due to the increasing complexity and sophistication of international production networks, especially in the equipment manufacturing industry, conventional trade statistics and the corresponding trade indicators may give us a distorted picture of trade. This paper applies various network analysis tools to the new GVC accounting system proposed by Koopman et al. (2014) and Wang et al. (2013) in which gross exports can be decomposed into value-added terms through various routes along GVCs. This helps to divide the equipment manufacturing-related GVCs into some sub-networks with clear visualization. The empirical results of this paper significantly improve our understanding of the topology of equipment manufacturing-related GVCs as well as the interdependency of countries in these GVCs that is generally invisible from the traditional trade statistics. PMID:28081201

  2. Polymerase chain reaction method for leptospirosis, analysis on samples from an autochthon swine population in Sicily, Italy.

    PubMed

    Vitale, Maria; Vitale, Fabrizio; Di Marco, Vincenzo; Curró, Vittoria; Vesco, Gesualdo; Caracappa, Santo

    2005-01-01

    We set a method targeting 16 rRNA gene consisting in a single polymerase chain reaction of 40 cycles which is specific for pathogenic leptospira. Negative polymerase chain reaction results were observed with nonpathogenic Leptospira (serovar patoc) and other bacteria species. By this method a survey on a population of autochthon swine herds had been conducted in Sicily particularly on kidney samples of slaughtered animals and on urine samples from live animals. The analysis showed that a prevalence of leptospira up to 40 % can be observed on these animals. Results on other bovine and ovine herds from the same province in Sicily showed a lower prevalence.

  3. Molecular diagnosis of A gamma hereditary persistence of fetal hemoglobin using polymerase chain reaction and oligonucleotide analysis.

    PubMed

    Gottardi, E; Alfarano, A; Serra, A; Sciarratta, G; Bertero, M T; Saglio, G; Camaschella, C

    1990-01-01

    By combining the polymerase chain reaction (PCR) of the gamma globin gene promoters with synthetic oligonucleotide analysis we have diagnosed the -196 C----T and the -117 G----A substitutions in heterozygous carriers of non deletional A gamma HPFH from two unrelated Italian families. The identification of the beta-thalassemic defect in a compound heterozygote for -196 A gamma HPFH/beta thalassemia allows us to discuss the effect of this gamma promoter mutation on the globin chain synthetic pattern, and to make a comparison with the mutation at the -117 position.

  4. Ascertainment correction for Markov chain Monte Carlo segregation and linkage analysis of a quantitative trait.

    PubMed

    Ma, Jianzhong; Amos, Christopher I; Warwick Daw, E

    2007-09-01

    Although extended pedigrees are often sampled through probands with extreme levels of a quantitative trait, Markov chain Monte Carlo (MCMC) methods for segregation and linkage analysis have not been able to perform ascertainment corrections. Further, the extent to which ascertainment of pedigrees leads to biases in the estimation of segregation and linkage parameters has not been previously studied for MCMC procedures. In this paper, we studied these issues with a Bayesian MCMC approach for joint segregation and linkage analysis, as implemented in the package Loki. We first simulated pedigrees ascertained through individuals with extreme values of a quantitative trait in spirit of the sequential sampling theory of Cannings and Thompson [Cannings and Thompson [1977] Clin. Genet. 12:208-212]. Using our simulated data, we detected no bias in estimates of the trait locus location. However, in addition to allele frequencies, when the ascertainment threshold was higher than or close to the true value of the highest genotypic mean, bias was also found in the estimation of this parameter. When there were multiple trait loci, this bias destroyed the additivity of the effects of the trait loci, and caused biases in the estimation all genotypic means when a purely additive model was used for analyzing the data. To account for pedigree ascertainment with sequential sampling, we developed a Bayesian ascertainment approach and implemented Metropolis-Hastings updates in the MCMC samplers used in Loki. Ascertainment correction greatly reduced biases in parameter estimates. Our method is designed for multiple, but a fixed number of trait loci. Copyright (c) 2007 Wiley-Liss, Inc.

  5. [Fast food--an analysis of the consumer profile of 2 typical representatives of these chains].

    PubMed

    Bachmann, G; Schär, M

    1986-01-01

    By a questionnaire survey the customers of two fast food chains have been analysed. Personal characteristics, motivation and frequency of fast food consumption and knowledge in correct nutrition varied significantly between the two customer groups.

  6. The Analysis of Rush Orders Risk in Supply Chain: A Simulation Approach

    NASA Technical Reports Server (NTRS)

    Mahfouz, Amr; Arisha, Amr

    2011-01-01

    Satisfying customers by delivering demands at agreed time, with competitive prices, and in satisfactory quality level are crucial requirements for supply chain survival. Incidence of risks in supply chain often causes sudden disruptions in the processes and consequently leads to customers losing their trust in a company's competence. Rush orders are considered to be one of the main types of supply chain risks due to their negative impact on the overall performance, Using integrated definition modeling approaches (i.e. IDEF0 & IDEF3) and simulation modeling technique, a comprehensive integrated model has been developed to assess rush order risks and examine two risk mitigation strategies. Detailed functions sequence and objects flow were conceptually modeled to reflect on macro and micro levels of the studied supply chain. Discrete event simulation models were then developed to assess and investigate the mitigation strategies of rush order risks, the objective of this is to minimize order cycle time and cost.

  7. RFID Application Strategy in Agri-Food Supply Chain Based on Safety and Benefit Analysis

    NASA Astrophysics Data System (ADS)

    Zhang, Min; Li, Peichong

    Agri-food supply chain management (SCM), a management method to optimize internal costs and productivities, has evolved as an application of e-business technologies. These days, RFID has been widely used in many fields. In this paper, we analyze the characteristics of agri-food supply chain. Then the disadvantages of RFID are discussed. After that, we study the application strategies of RFID based on benefit and safety degree.

  8. Model Reduction via Principe Component Analysis and Markov Chain Monte Carlo (MCMC) Methods

    NASA Astrophysics Data System (ADS)

    Gong, R.; Chen, J.; Hoversten, M. G.; Luo, J.

    2011-12-01

    Geophysical and hydrogeological inverse problems often include a large number of unknown parameters, ranging from hundreds to millions, depending on parameterization and problems undertaking. This makes inverse estimation and uncertainty quantification very challenging, especially for those problems in two- or three-dimensional spatial domains. Model reduction technique has the potential of mitigating the curse of dimensionality by reducing total numbers of unknowns while describing the complex subsurface systems adequately. In this study, we explore the use of principal component analysis (PCA) and Markov chain Monte Carlo (MCMC) sampling methods for model reduction through the use of synthetic datasets. We compare the performances of three different but closely related model reduction approaches: (1) PCA methods with geometric sampling (referred to as 'Method 1'), (2) PCA methods with MCMC sampling (referred to as 'Method 2'), and (3) PCA methods with MCMC sampling and inclusion of random effects (referred to as 'Method 3'). We consider a simple convolution model with five unknown parameters as our goal is to understand and visualize the advantages and disadvantages of each method by comparing their inversion results with the corresponding analytical solutions. We generated synthetic data with noise added and invert them under two different situations: (1) the noised data and the covariance matrix for PCA analysis are consistent (referred to as the unbiased case), and (2) the noise data and the covariance matrix are inconsistent (referred to as biased case). In the unbiased case, comparison between the analytical solutions and the inversion results show that all three methods provide good estimates of the true values and Method 1 is computationally more efficient. In terms of uncertainty quantification, Method 1 performs poorly because of relatively small number of samples obtained, Method 2 performs best, and Method 3 overestimates uncertainty due to inclusion

  9. Early detection of Brucella canis via quantitative polymerase chain reaction analysis.

    PubMed

    Kauffman, L K; Bjork, J K; Gallup, J M; Boggiatto, P M; Bellaire, B H; Petersen, C A

    2014-02-01

    Canine brucellosis is a reportable zoonotic disease that can lead to canine reproductive losses and human infection through contact with infected urine or other genitourinary secretions. Although many locations require testing and euthanasia of positive dogs, current diagnosis is limited by the time required for seroconversion, for example, presence of B. canis-specific antibodies. The goal of this study was to determine the diagnostic ability of Brucella canis-specific quantitative polymerase chain reaction (qPCR) assay to detect B. canis in field samples prior to serological positivity for faster diagnosis and prevention of transmission within kennels or in households. Two kennels, one of which was located in the owner's home, were sampled following observation of suggestive clinical signs and positive serology of at least one dog. Specimens obtained were comparatively analysed via serology and qPCR analysis. 107 dogs were analysed for B. canis infection via qPCR: 105 via whole-blood samples, 65 via vaginal swab, six via urine and seven via genitourinary tract tissue taken at necropsy. Forty-five dogs were found to be infected with canine brucellosis via qPCR, of which 22 (48.89%) were seropositive. A statistically significant number (P = 0.0228) of qPCR-positive dogs, 5/25 (20.00%), seroconverted within a 30-day interval after initial serologic testing. As compared to serology, qPCR analysis of DNA from vaginal swabs had a sensitivity of 92.31% and specificity of 51.92%, and qPCR analysis of DNA from whole-blood samples had a sensitivity of 16.67% and specificity of 100%. B. canis outer membrane protein 25 DNA qPCR from non-invasive vaginal swab and urine samples provided early detection of B. canis infection in dogs prior to detection of antibodies. This assay provides a critical tool to decrease zoonotic spread of canine brucellosis, its associated clinical presentation(s), and emotional and economic repercussions.

  10. Characterization and ontogenetic expression analysis of the myosin light chains from the fast white muscle of mandarin fish Siniperca chuatsi.

    PubMed

    Chu, W Y; Chen, J; Zhou, R X; Zhao, F L; Meng, T; Chen, D X; Nong, X X; Liu, Z; Lu, S Q; Zhang, J S

    2011-04-01

    Three full-length complementary DNA (cDNA) clones were isolated encoding the skeletal myosin light chain 1 (MLC1; 1237 bp), myosin light chain 2 (MLC2; 1206 bp) and myosin light chain 3 (MLC3; 1079 bp) from the fast white muscle cDNA library of mandarin fish Siniperca chuatsi. The sequence analysis indicated that MLC1 and MLC3 were not produced from differentially spliced messenger RNAs (mRNA) as reported in birds and rodents but were encoded by different genes. The MLC2 encodes 170 amino acids, which include four EF-hand (helix-loop-helix) structures. The primary structures of the Ca(2+)-binding domain were well conserved among the MLC2s of seven other fish species. The ontogenetic expression analysis by real-time PCR showed that the three light-chain mRNAs were first detected in the gastrula stage, and their expression increased from the tail bud stage to the larval stage. All three MLC mRNAs showed longitudinal expression variation in the fast white muscle of S. chuatsi, especially MLC1 which was highly expressed at the posterior area. Taken together, the study provides a better understanding about the MLC gene structure and their expression pattern in muscle development of S. chuatsi.

  11. Quantitation of transgenic plant DNA in leachate water: real-time polymerase chain reaction analysis.

    PubMed

    Gulden, Robert H; Lerat, Sylvain; Hart, Miranda M; Powell, Jeff R; Trevors, Jack T; Pauls, K Peter; Klironomos, John N; Swanton, Clarence J

    2005-07-27

    Roundup Ready (RR) genetically modified (GM) corn and soybean comprise a large portion of the annual planted acreage of GM crops. Plant growth and subsequent plant decomposition introduce the recombinant DNA (rDNA) into the soil environment, where its fate has not been completely researched. Little is known of the temporal and spatial distribution of plant-derived rDNA in the soil environment and in situ transport of plant DNA by leachate water has not been studied before. The objectives of this study were to determine whether sufficient quantities of plant rDNA were released by roots during growth and early decomposition to be detected in water collected after percolating through a soil profile and to determine the influence of temperature on DNA persistence in the leachate water. Individual plants of RR corn and RR soybean were grown in modified cylinders in a growth room, and the cylinders were flushed with rain water weekly. Immediately after collection, the leachate was subjected to DNA purification followed by rDNA quantification using real-time Polymerase Chain Reaction (PCR) analysis. To test the effects of temperature on plant DNA persistence in leachate water, water samples were spiked with known quantities of RR soybean or RR corn genomic DNA and DNA persistence was examined at 5, 15, and 25 degrees C. Differences in the amounts and temporal distributions of root-derived rDNA were observed between corn and soybean plants. The results suggest that rainfall events may distribute plant DNA throughout the soil and into leachate water. Half-lives of plant DNA in leachate water ranged from 1.2 to 26.7 h, and persistence was greater at colder temperatures (5 and 15 degrees C).

  12. In silico analysis of the regulation of the photosynthetic electron transport chain in C3 plants.

    PubMed

    Morales, Alejandro; Yin, Xinyou; Harbinson, Jeremy; Driever, Steven Michiel; Molenaar, Jaap; Kramer, David M; Struik, Paul

    2017-09-18

    We present a new simulation model of the reactions in the photosynthetic electron transport chain of C3 species. We show that including recent insights about the regulation of the thylakoid proton motive force, ATP/NADPH balancing mechanisms (cyclic and non-cyclic alternative electron transport), and regulation of Rubisco activity, leads to emergent behaviors that may affect the operation and regulation of photosynthesis under different dynamic environmental conditions. The model was parameterized with experimental results in the literature, with a focus on Arabidopsis thaliana. A dataset was constructed from multiple sources, including measurements of steady-state and dynamic gas exchange, chlorophyll fluorescence and absorbance spectroscopy under different light intensities and CO2. This dataset was used to test predictions of the model under different experimental conditions. Simulations suggested that there are strong interactions between cyclic and non-cyclic alternative electron transport and that an excess capacity for alternative electron transport is required to ensure adequate redox state and lumen pH. Furthermore, the model predicted that, under specific conditions, reduction of ferredoxin by plastoquinol was possible, especially after a rapid increase in light intensity. Further analysis also revealed that the relationship between ATP synthesis and proton motive force was highly regulated by the concentrations of ATP and ADP, and this facilitated an increase in non-photochemical quenching under conditions where metabolism was limiting, such as low CO2 or high light intensity. The model may be used as an in silico platform for future research on the regulation of photosynthetic electron transport. {copyright, serif} 2017 American Society of Plant Biologists. All rights reserved.

  13. Supply Chain Sustainability Analysis of Indirect Liquefaction of Blended Biomass to Produce High Octane Gasoline

    SciTech Connect

    Cai, Hao; Canter, Christina E.; Dunn, Jennifer B.; Tan, Eric; Biddy, Mary; Talmadge, Michael; Hartley, Damon S.; Snowden-Swan, Lesley

    2015-09-01

    The Department of Energy’s (DOE) Bioenergy Technologies Office (BETO) aims at developing and deploying technologies to transform renewable biomass resources into commercially viable, high-performance biofuels, bioproducts and biopower through public and private partnerships (DOE, 2015). BETO also performs a supply chain sustainability analysis (SCSA). This report describes the SCSA of the production of renewable high octane gasoline (HOG) via indirect liquefaction (IDL) of lignocellulosic biomass. This SCSA was developed for the 2017 design case for feedstock logistics (INL, 2014) and for the 2022 target case for HOG production via IDL (Tan et al., 2015). The design includes advancements that are likely and targeted to be achieved by 2017 for the feedstock logistics and 2022 for the IDL conversion process. The 2017 design case for feedstock logistics demonstrated a delivered feedstock cost of $80 per dry U.S. short ton by the year 2017 (INL, 2014). The 2022 design case for the conversion process, as modeled in Tan et al. (2015), uses the feedstock 2017 design case blend of biomass feedstocks consisting of pulpwood, wood residue, switchgrass, and construction and demolition waste (C&D) with performance properties consistent with a sole woody feedstock type (e.g., pine or poplar). The HOG SCSA case considers the 2017 feedstock design case (the blend) as well as individual feedstock cases separately as alternative scenarios when the feedstock blend ratio varies as a result of a change in feedstock availability. These scenarios could be viewed as bounding SCSA results because of distinctive requirements for energy and chemical inputs for the production and logistics of different components of the blend feedstocks.

  14. Paleoseismological analysis of an intraplate extensional structure: the Concud fault (Iberian Chain, eastern Spain)

    NASA Astrophysics Data System (ADS)

    Lafuente, P.; Arlegui, L. E.; Liesa, C. L.; Simón, J. L.

    2011-10-01

    The Concud fault is a 13.5 km long, NW-SE striking normal fault at the eastern Iberian Chain. Its recent (Late Pleistocene) slip history is characterized from mapping and trench analysis and discussed in the context of the accretion/incision history of the Alfambra River. The fault has been active since Late Pliocene times, with slip rates ranging from 0.07 to 0.33 mm/year that are consistent with its present-day geomorphologic expression. The most likely empirical correlation suggests that the associated paleoseisms have potential magnitudes close to 6.8, coseismic displacements of 2.0 m, and recurrence intervals from 6.1 to 28.9 ka. At least six paleoseismic events have been identified between 113 and 32 ka. The first three events (U to W) involved displacement along the major fault plane. The last three events (X to Z) encompassed downthrow and hanging-wall synthetic bending prompting fissure opening. This change is accompanied by a decrease in slip rate (from 0.63 to 0.08-0.17 mm/year) and has been attributed to activation of a synthetic blind fault at the hanging wall. The average coseismic displacement (1.9-2.0 m) and recurrence period (6.7-7.9 ka) inferred from this paleoseismic succession are within the ranges predicted from empirical correlation. Such paleoseismic activity contrasts with the moderate present-day seismicity of the area (maximum instrumental Mb = 4.4), which can be explained by the long recurrence interval that characterizes intraplate regions.

  15. Time-based analysis of the apheresis platelet supply chain in England.

    PubMed

    Wilding, R; Cotton, S; Dobbin, J; Chapman, J; Yates, N

    2011-10-01

    During 2009/2010 loss of platelets within NHS Blood and Transplant (NHSBT) due to time expiry was 9.3%. Hospitals remain reluctant to hold stocks of platelets due to the poor shelf life at issue. The purpose of this study was to identify areas for time compression in the apheresis platelet supply chain to extend the shelf life available for hospitals and reduce wastage in NHSBT. This was done within the context of NHSBT reconfiguring their supply chain and moving towards a consolidated and centralised approach. Time based process mapping was applied to identify value and non-value adding time in two manufacturing models. A large amount of the non-value adding time in the apheresis platelet supply chain is due to transportation and waiting for the next process in the manufacturing process to take place. Time based process mapping provides an effective 'lens' for supply chain professionals to identify opportunities for improvement in the platelet supply chain. © 2011 The Author(s). Vox Sanguinis © 2011 International Society of Blood Transfusion.

  16. A comparative analysis of accident risks in fossil, hydro, and nuclear energy chains

    SciTech Connect

    Burgherr, P.; Hirschberg, S.

    2008-07-01

    This study presents a comparative assessment of severe accident risks in the energy sector, based on the historical experience of fossil (coal, oil, natural gas, and LPG (Liquefied Petroleum Gas)) and hydro chains contained in the comprehensive Energy-related Severe Accident Database (ENSAD), as well as Probabilistic Safety Assessment (PSA) for the nuclear chain. Full energy chains were considered because accidents can take place at every stage of the chain. Comparative analyses for the years 1969-2000 included a total of 1870 severe ({>=} 5 fatalities) accidents, amounting to 81,258 fatalities. Although 79.1% of all accidents and 88.9% of associated fatalities occurred in less developed, non-OECD countries, industrialized OECD countries dominated insured losses (78.0%), reflecting their substantially higher insurance density and stricter safety regulations. Aggregated indicators and frequency-consequence (F-N) curves showed that energy-related accident risks in non-OECD countries are distinctly higher than in OECD countries. Hydropower in non-OECD countries and upstream stages within fossil energy chains are most accident-prone. Expected fatality rates are lowest for Western hydropower and nuclear power plants; however, the maximum credible consequences can be very large. Total economic damages due to severe accidents are substantial, but small when compared with natural disasters. Similarly, external costs associated with severe accidents are generally much smaller than monetized damages caused by air pollution.

  17. Quantitative Polymerase Chain Reaction Analysis of the Mouse Cyp2j Subfamily: Tissue Distribution and Regulation.

    PubMed

    Graves, Joan P; Gruzdev, Artiom; Bradbury, J Alyce; DeGraff, Laura M; Li, Huiling; House, John S; Hoopes, Samantha L; Edin, Matthew L; Zeldin, Darryl C

    2015-08-01

    Members of the cytochrome P450 CYP2J subfamily are expressed in multiple tissues in mice and humans. These enzymes are active in the metabolism of fatty acids to generate bioactive compounds. Herein we report new methods and results for quantitative polymerase chain reaction (qPCR) analysis for the seven genes (Cyp2j5, Cyp2j6, Cyp2j8, Cyp2j9, Cyp2j11, Cyp2j12, and Cyp2j13) of the mouse Cyp2j subfamily. SYBR Green primer sets were developed and compared with commercially available TaqMan primer/probe assays for specificity toward mouse Cyp2j cDNA, and analysis of tissue distribution and regulation of Cyp2j genes. Each TaqMan primer/probe set and SYBR Green primer set were shown to be specific for their intended mouse Cyp2j cDNA. Tissue distribution of the mouse Cyp2j isoforms confirmed similar patterns of expression between the two qPCR methods. Cyp2j5 and Cyp2j13 were highly expressed in male kidneys, and Cyp2j11 was highly expressed in both male and female kidneys. Cyp2j6 was expressed in multiple tissues, with the highest expression in the small intestine and duodenum. Cyp2j8 was detected in various tissues, with highest expression found in the skin. Cyp2j9 was highly expressed in the brain, liver, and lung. Cyp2j12 was predominately expressed in the brain. We also determined the Cyp2j isoform expression in Cyp2j5 knockout mice to determine whether there was compensatory regulation of other Cyp2j isoforms, and we assessed Cyp2j isoform regulation during various inflammatory models, including influenza A, bacterial lipopolysaccharide, house dust mite allergen, and corn pollen. Both qPCR methods detected similar suppression of Cyp2j6 and Cyp2j9 during inflammation in the lung.

  18. Quantitative Polymerase Chain Reaction Analysis of the Mouse Cyp2j Subfamily: Tissue Distribution and Regulation

    PubMed Central

    Graves, Joan P.; Gruzdev, Artiom; Bradbury, J. Alyce; DeGraff, Laura M.; Li, Huiling; House, John S.; Hoopes, Samantha L.; Edin, Matthew L.

    2015-01-01

    Members of the cytochrome P450 CYP2J subfamily are expressed in multiple tissues in mice and humans. These enzymes are active in the metabolism of fatty acids to generate bioactive compounds. Herein we report new methods and results for quantitative polymerase chain reaction (qPCR) analysis for the seven genes (Cyp2j5, Cyp2j6, Cyp2j8, Cyp2j9, Cyp2j11, Cyp2j12, and Cyp2j13) of the mouse Cyp2j subfamily. SYBR Green primer sets were developed and compared with commercially available TaqMan primer/probe assays for specificity toward mouse Cyp2j cDNA, and analysis of tissue distribution and regulation of Cyp2j genes. Each TaqMan primer/probe set and SYBR Green primer set were shown to be specific for their intended mouse Cyp2j cDNA. Tissue distribution of the mouse Cyp2j isoforms confirmed similar patterns of expression between the two qPCR methods. Cyp2j5 and Cyp2j13 were highly expressed in male kidneys, and Cyp2j11 was highly expressed in both male and female kidneys. Cyp2j6 was expressed in multiple tissues, with the highest expression in the small intestine and duodenum. Cyp2j8 was detected in various tissues, with highest expression found in the skin. Cyp2j9 was highly expressed in the brain, liver, and lung. Cyp2j12 was predominately expressed in the brain. We also determined the Cyp2j isoform expression in Cyp2j5 knockout mice to determine whether there was compensatory regulation of other Cyp2j isoforms, and we assessed Cyp2j isoform regulation during various inflammatory models, including influenza A, bacterial lipopolysaccharide, house dust mite allergen, and corn pollen. Both qPCR methods detected similar suppression of Cyp2j6 and Cyp2j9 during inflammation in the lung. PMID:25994032

  19. Behavioral Analysis of Visitors to a Medical Institution's Website Using Markov Chain Monte Carlo Methods.

    PubMed

    Suzuki, Teppei; Tani, Yuji; Ogasawara, Katsuhiko

    2016-07-25

    Consistent with the "attention, interest, desire, memory, action" (AIDMA) model of consumer behavior, patients collect information about available medical institutions using the Internet to select information for their particular needs. Studies of consumer behavior may be found in areas other than medical institution websites. Such research uses Web access logs for visitor search behavior. At this time, research applying the patient searching behavior model to medical institution website visitors is lacking. We have developed a hospital website search behavior model using a Bayesian approach to clarify the behavior of medical institution website visitors and determine the probability of their visits, classified by search keyword. We used the website data access log of a clinic of internal medicine and gastroenterology in the Sapporo suburbs, collecting data from January 1 through June 31, 2011. The contents of the 6 website pages included the following: home, news, content introduction for medical examinations, mammography screening, holiday person-on-duty information, and other. The search keywords we identified as best expressing website visitor needs were listed as the top 4 headings from the access log: clinic name, clinic name + regional name, clinic name + medical examination, and mammography screening. Using the search keywords as the explaining variable, we built a binomial probit model that allows inspection of the contents of each purpose variable. Using this model, we determined a beta value and generated a posterior distribution. We performed the simulation using Markov Chain Monte Carlo methods with a noninformation prior distribution for this model and determined the visit probability classified by keyword for each category. In the case of the keyword "clinic name," the visit probability to the website, repeated visit to the website, and contents page for medical examination was positive. In the case of the keyword "clinic name and regional name," the

  20. Liquid chromatography/tandem mass spectrometry analysis of long-chain oxidation products of cardiolipin induced by the hydroxyl radical.

    PubMed

    Maciel, Elisabete; Domingues, Pedro; Domingues, M Rosário M

    2011-01-30

    The anionic phospholipid cardiolipin (CL) is found almost exclusively in the inner membrane of mitochondria, playing an important role in energy metabolism. Oxidation of CL has been associated with apoptotic events and various pathologies. In this study, electrospray ionization mass spectrometry coupled with liquid chromatography (LC/ESI-MS) was used to identify tetralinoleoyl-cardiolipin (TLCL) modifications induced by the OH(·) radical generated under Fenton reaction conditions (H(2)O(2) and Fe(2+)). The identified oxidation products of TLCL contained 2, 4, 6 and 8 additional oxygen atoms. These long-chain oxidation products were characterized by LC/ESI-MS/MS as doubly [M-2H](2-) and singly charged [M-H](-) ions. A detailed analysis of the fragmentation pathways of these precursor ions allowed the identification of hydroperoxy derivatives of CL. MS/MS analysis indicated that CL oxidation products with 4, 6 and 8 oxygen atoms have one fatty acyl chain bearing 4 oxygen atoms ([RCOO+4O](-)). Even when the TLCL molecule was oxidized by the addition of eight oxygen atoms, one of the acyl chains remained non-modified and one fatty acyl chain contained three or four oxygen atoms. This led us to conclude that under oxidative conditions by the OH(·) radical, the distribution of oxygens/peroxy groups in the CL molecule is not random, even when CL has the same fatty acyl chains in all the positions. Using mass spectrometry, the oxidation products have been unequivocally assigned, which may be useful for their detection in biological samples. Copyright © 2010 John Wiley & Sons, Ltd.

  1. Metabolic flux distribution analysis by 13C-tracer experiments using the Markov chain-Monte Carlo method.

    PubMed

    Yang, J; Wongsa, S; Kadirkamanathan, V; Billings, S A; Wright, P C

    2005-12-01

    Metabolic flux analysis using 13C-tracer experiments is an important tool in metabolic engineering since intracellular fluxes are non-measurable quantities in vivo. Current metabolic flux analysis approaches are fully based on stoichiometric constraints and carbon atom balances, where the over-determined system is iteratively solved by a parameter estimation approach. However, the unavoidable measurement noises involved in the fractional enrichment data obtained by 13C-enrichment experiment and the possible existence of unknown pathways prevent a simple parameter estimation method for intracellular flux quantification. The MCMC (Markov chain-Monte Carlo) method, which obtains intracellular flux distributions through delicately constructed Markov chains, is shown to be an effective approach for deep understanding of the intracellular metabolic network. Its application is illustrated through the simulation of an example metabolic network.

  2. Design and analysis of linear cascade DNA hybridization chain reactions using DNA hairpins

    NASA Astrophysics Data System (ADS)

    Bui, Hieu; Garg, Sudhanshu; Miao, Vincent; Song, Tianqi; Mokhtar, Reem; Reif, John

    2017-01-01

    DNA self-assembly has been employed non-conventionally to construct nanoscale structures and dynamic nanoscale machines. The technique of hybridization chain reactions by triggered self-assembly has been shown to form various interesting nanoscale structures ranging from simple linear DNA oligomers to dendritic DNA structures. Inspired by earlier triggered self-assembly works, we present a system for controlled self-assembly of linear cascade DNA hybridization chain reactions using nine distinct DNA hairpins. NUPACK is employed to assist in designing DNA sequences and Matlab has been used to simulate DNA hairpin interactions. Gel electrophoresis and ensemble fluorescence reaction kinetics data indicate strong evidence of linear cascade DNA hybridization chain reactions. The half-time completion of the proposed linear cascade reactions indicates a linear dependency on the number of hairpins.

  3. The Analysis of Orders of Perishable Goods in Relation to the Bullwhip Effect in the Logistic Supply Chain of the Food Industry: a Case Study

    NASA Astrophysics Data System (ADS)

    Chocholáč, Jan; Průša, Petr

    2016-12-01

    The bullwhip effect generally refers to the phenomenon where order variability increases as the orders move upstream in the supply chain. It is serious problem for every member of the supply chain. This effect begins at customers and passes through the chain to producers, which are at the end of the logistic chain. Especially food supply chains are affected by this issue. These chains are unique for problems of expiration of goods (particularly perishable goods), variable demand, orders with quantity discounts and effort to maximize the customer satisfaction. This paper will present the problem of the bullwhip effect in the real supply chain in the food industry. This supply chain consists of approximately 350 stores, four central warehouses and more than 1000 suppliers, but the case study will examine 87 stores, one central warehouse and one supplier in 2015. The aim of this paper is the analysis of the order variability between the various links in this chain and confirmation of the bullwhip effect in this chain. The subject of the analysis will be perishable goods.

  4. Comparison of arbitrarily primed polymerase chain reaction, ribotyping, and monoclonal antibody analysis for subtyping Legionella pneumophila serogroup 1.

    PubMed Central

    Gomez-Lus, P; Fields, B S; Benson, R F; Martin, W T; O'Connor, S P; Black, C M

    1993-01-01

    Arbitrarily primed polymerase chain reaction (AP-PCR) was used to characterize Legionella pneumophila serogroup 1. Cells from a single colony could be subtyped by AP-PCR within a few hours. The discrimination between strains of L. pneumophila serogroup 1 by AP-PCR was equivalent to that by monoclonal antibody analysis and ribotyping. Four strains representing the monoclonal antibody pattern most frequently associated with outbreaks all yielded unique amplicon patterns by AP-PCR. Images PMID:8394380

  5. Serum-free light-chain analysis in diagnosis and management of multiple myeloma and related conditions.

    PubMed

    Milani, Paolo; Palladini, Giovanni; Merlini, Giampaolo

    2016-01-01

    The introduction of the serum-free light-chain (S-FLC) assay has been a breakthrough in the diagnosis and management of plasma cell dyscrasias, particularly monoclonal light-chain diseases. The first method, proposed in 2001, quantifies serum-free light-chains using polyclonal antibodies. More recently, assays based on monoclonal antibodies have entered into clinical practice. S-FLC measurement plays a central role in the screening for multiple myeloma and related conditions, in association with electrophoretic techniques. Analysis of S-FLC is essential in assessing the risk of progression of precursor diseases to overt plasma cell dyscrasias. It is also useful for risk stratification in solitary plasmacytoma and AL amyloidosis. The S-FLC measurement is part of the new diagnostic criteria for multiple myeloma, and provides a marker to follow changes in clonal substructure over time. Finally, the evaluation of S-FLC is fundamental for assessing the response to treatment in monoclonal light chain diseases.

  6. Magnetic force imaging of a chain of biogenic magnetite and Monte Carlo analysis of tip-particle interaction

    NASA Astrophysics Data System (ADS)

    Körnig, André; Hartmann, Markus A.; Teichert, Christian; Fratzl, Peter; Faivre, Damien

    2014-06-01

    Magnetotactic bacteria form chains of magnetite nanoparticles that serve the organism as navigation tools. The magnetic anisotropy of the superstructure makes the chain an ideal model to study the magnetic properties of such an organization. Magnetic force microscopy (MFM) is currently the technique of choice for the visualization of magnetic nanostructures, however it does not enable the quantitative measurement of magnetic properties, since the interactions between the MFM probe and the magnetic sample are complex and not yet fully understood. Here we present an MFM study of such a chain of biological magnetite nanoparticles. We combined experimental and theoretical (Monte Carlo simulation) analyses of the sample, and investigated the size and orientation of the magnetic moments of the single magnetic particles in the chain. MonteCarlo simulations were used to calculate the influence of the magnetic tip on the configuration of the sample. The advantage of this procedure is that analysis does not require any a priori knowledge of the properties of the sample. The magnetic properties of the tip and of the magnetosomes are indeed varied in the calculations until the phase profiles of the simulated MFM images achieve a best match with the experimental ones. We hope our results will open the doors towards a better quantification of MFM images, and possibly a better understanding of the biological process in situ.

  7. Purification, Characterization and Analysis of the Allergenic Properties of Myosin Light Chain in Procambarus clarkia.

    USDA-ARS?s Scientific Manuscript database

    Myosin light chain (MLC) plays a vital role in cell and muscle functions and has been identified as an allergen in close species. In this study, MLC with the molecular mass of 18kDa was purified from crayfish (Procambarus clarkii) muscle fibrils. Its physicochemical characterization showed that the...

  8. Techno-economic analysis of an improved process for producing saturated branched-chain fatty acids

    USDA-ARS?s Scientific Manuscript database

    Vegetable oils provide a source of environmentally desirable lubricants, but they are not widely utilized because of their poor oxidative stability. Branched-chain fatty acid isomers are desirable products because they have excellent thermostabilities and lubricities when compared to the parent veg...

  9. Analysis of Sesame Marketing Chain in Case of Gimbi Districts, Ethiopia

    ERIC Educational Resources Information Center

    Temesgen, Fikru; Gobena, Efa; Megersa, Hailu

    2017-01-01

    This study was aimed at marketing chain of sesames in Gimbi Woredas of Oromia Region with specific objectives of identifying marketing channels and factors affecting outlet choice decisions of farm households. The data were collected from both primary and secondary sources. The primary data for this study were collected from 127 farmers, 17…

  10. Analysis of the Ketosynthase-Chain Length Factor Heterodimer from the Fredericamycin Polyketide Synthase

    PubMed Central

    Szu, Ping-Hui; Govindarajan, Sridhar; Meehan, Michael J.; Das, Abhirup; Nguyen, Don D.; Dorrestein, Pieter C.; Minshull, Jeremy; Khosla, Chaitan

    2011-01-01

    SUMMARY The pentadecaketide fredericamycin has the longest carbon chain backbone among polycyclic aromatic polyketide antibiotics whose biosynthetic genes have been sequenced. This backbone is synthesized by the bimodular fdm polyketide synthase (PKS). The initiation module is thought to synthesize a C6 intermediate that is then transferred onto the elongation PKS module, which extends it into a C30 poly-β-ketoacyl product. Here we demonstrate that the bimodular fdm PKS as well as its elongation module alone synthesize undecaketides and dodecaketides. Thus, unlike other homologues, the fdm ketosynthase – chain length factor (KS-CLF) heterodimer does not exclusively control the backbone length of its natural product. Using sequence- and structure-based approaches, 48 multiple mutants of the CLF were engineered and analyzed. Unexpectedly, the I134F mutant was unable to turn over, but could initiate and at least partially elongate the polyketide chain. This unprecedented mutant suggests that the KS-CLF heterodimer harbors an as yet uncharacterized chain termination mechanism. Together, our findings reveal fundamental mechanistic differences between the fdm PKS and its well-studied homologues. PMID:21867917

  11. Understanding Latina and Latino College Choice: A Social Capital and Chain Migration Analysis

    ERIC Educational Resources Information Center

    Perez, Patricia A.; McDonough, Patricia M.

    2008-01-01

    Through interviews and focus groups with 106 high school juniors and seniors, this research examined the college choice process for Latina and Latino students in the greater Los Angeles basin. Using chain migration theory within a social capital framework, the results indicated that as primarily first-generation college students, the students in…

  12. Characterisation and quantification of medium chain and long chain triglycerides and their in vitro digestion products, by HPTLC coupled with in situ densitometric analysis.

    PubMed

    Sek, L; Porter, C J; Charman, W N

    2001-06-01

    The development of new and simple high performance thin layer chromatography (HPTLC) assays for the quantification of medium chain triglycerides (MCT, tricaprylin) and long chain triglycerides (LCT, triolein) and their lipolytic products, bile salts (BS) and phospholipids (PL) are described. Different classes of lipids (PL, BS, fatty acids, monoglycerides, diglycerides, and triglycerides) were separated on a single silica gel 60 HPTLC plate by Automated Multiple Development (AMD) methods using a Camag AMD 2. Post-chromatographic staining of long chain lipids (triolein, diolein, monoolein, and oleic acid), PL and BS with a solution of copper sulphate-phosphoric acid and medium chain lipids (tricaprylin, dicaprylin, monocaprylin, and caprylic acid) with a solution of ammonium molybdate-perchloric acid allowed visualisation of the lipids. Lipids were quantified by in situ spectrodensitometric measurements using a Camag TLC scanner 3. The intra- and inter-assay accuracy was between 83 and 115% and the assay was precise to within a CV of less than 20% over a range of 0.1-1 and 5-50 microg for long chain lipids and medium chain lipids, respectively. The methods have been employed to study the kinetics of triolein and tricaprylin lipolysis in an in vitro lipid digestion model commonly used to assess the digestibility of novel oral lipid-based formulations.

  13. Smokeless Tobacco Supply Chain in South Asia: A Comparative Analysis Using the WHO Framework Convention on Tobacco Control.

    PubMed

    Siddiqi, Kamran; Scammell, Katy; Huque, Rumana; Khan, Amina; Baral, Sushil; Ali, Shehzad; Watt, Ian

    2016-04-01

    Most South Asian countries are signatories to the WHO Framework Convention for Tobacco Control (FCTC). However, there is little information on the extent to which FCTC standards are effectively implemented for controlling smokeless tobacco (SLT)-used by over 250 million people in the region. We assessed the feasibility of a novel approach based on interviewing the key actors of SLT supply chain and analyzing its findings using standards set by FCTC. Using a snowball-sampling technique, we interviewed point-of-sale vendors, wholesale retailers, manufacturers, raw-tobacco retailers, and farmers involved in the supply chain of SLT in Bangladesh, Nepal, and Pakistan. Using a structured-questionnaire, participants were asked about their customer profiles; product types; marketing practices; suppliers; profit margins, awareness and adherence to legislation. We recruited 72% (130/180) of all supply chain actors approached. Findings indicate several loopholes in the existing taxation, regulatory, and inspection systems. A significant proportion of smuggled and counterfeit SLT products are available in the market. Most SLT products are sold without recommended warnings, information on their ingredients, and manufacturers' details. There appear to be no restrictions on sale of SLT products to minors. On the other hand, there are also several incentives built-in the supply chain that makes tobacco farming, SLT manufacturing, and its sale a profitable business. Our novel approach to study SLT control was successful in identifying and interviewing actors involved in its supply chain. The analysis using FCTC could provide valuable information to policy makers and enable them to effectively regulate SLT products. © The Author 2015. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

  14. An integrated one-chip-sensor system for microRNA quantitative analysis based on digital droplet polymerase chain reaction

    NASA Astrophysics Data System (ADS)

    Tsukuda, Masahiko; Wiederkehr, Rodrigo Sergio; Cai, Qing; Majeed, Bivragh; Fiorini, Paolo; Stakenborg, Tim; Matsuno, Toshinobu

    2016-04-01

    A silicon microfluidic chip was developed for microRNA (miRNA) quantitative analysis. It performs sequentially reverse transcription and polymerase chain reaction in a digital droplet format. Individual processes take place on different cavities, and reagent and sample mixing is carried out on a chip, prior to entering each compartment. The droplets are generated on a T-junction channel before the polymerase chain reaction step. Also, a miniaturized fluorescence detector was developed, based on an optical pick-up head of digital versatile disc (DVD) and a micro-photomultiplier tube. The chip integrated in the detection system was tested using synthetic miRNA with known concentrations, ranging from 300 to 3,000 templates/µL. Results proved the functionality of the system.

  15. Bioaccumulation and food-chain analysis for evaluating ecological risks in terrestrial and wetland habitats: Availability-transfer factors (ATFs) in soil {r_arrow} soil macroinvertebrate {r_arrow} amphibian food chains

    SciTech Connect

    Linder, G.; Bollman, M.; Callahan, C.; Gillette, C.; Nebeker, A.; Wilborn, D.

    1998-12-31

    As part of the ecological risk assessment process for terrestrial and wetland habitats, the evaluation of bioaccumulative chemicals of concern (BCCs) is frequently pursued through food-chain analysis with a subsequent comparison of daily doses to benchmark toxicity reference values, when available. Food-chain analysis has frequently been applied to the analysis of exposure to BCCs identified as chemicals of potential ecological concern (COPECs) in the ecological risk assessment process. Here, designed studies focused on wetland food-chains such as hydric soil {r_arrow} soil macroinvertebrate {r_arrow} amphibian and terrestrial food-chains such as soil {r_arrow} plant {r_arrow} small mammal illustrate an approach for the derivation and validation of trophic transfer factors for metals considered as COPECs such as cadmium, chromium, copper, lead, and zinc. The results clearly indicate that the transfer of chemicals between trophic levels is critical in the bioaccumulation process in wetland and terrestrial food-chains and is influenced by numerous interacting abiotic and biotic factors, including physicochemical properties of soil, and the role, if any, that the metal has in the receptor as a required trace element.

  16. Adaptive relaxation for the steady-state analysis of Markov chains

    NASA Technical Reports Server (NTRS)

    Horton, Graham

    1994-01-01

    We consider a variant of the well-known Gauss-Seidel method for the solution of Markov chains in steady state. Whereas the standard algorithm visits each state exactly once per iteration in a predetermined order, the alternative approach uses a dynamic strategy. A set of states to be visited is maintained which can grow and shrink as the computation progresses. In this manner, we hope to concentrate the computational work in those areas of the chain in which maximum improvement in the solution can be achieved. We consider the adaptive approach both as a solver in its own right and as a relaxation method within the multi-level algorithm. Experimental results show significant computational savings in both cases.

  17. Globin chain analysis: an important tool in phenotype study of hemoglobin disorders.

    PubMed

    Wajcman, Henri; Riou, Jean

    2009-12-01

    Phenotype studies still occupy a key position in the diagnosis of hemoglobin (Hb) disorders. An additional dimension to the methods for diagnosis of Hb disorders which are mostly based on difference in charge of the Hb molecules may be brought by studying some properties of the globin chains. Among the methods proposed, reversed-phase liquid-chromatography (RP-LC) reveals differences in hydrophobicity allowing to discriminate between variants displaying identical charges. Thus, abnormal Hbs responsible for hematological disorders, such as chronic hemolytic anemia, erythrocytosis, or thalassemia like presentation, but with a charge similar to HbA or to that of a common variant may be revealed. Also RP-LC, which discriminates between the two types of gamma chains, may be of interest for diagnosis of hereditary persistence of fetal hemoglobin (HPFH) or for suggesting a haplotype in the case of sickle cell anemia.

  18. From Puffins to Plankton: A DNA-Based Analysis of a Seabird Food Chain in the Northern Gulf of Maine

    PubMed Central

    Bowser, A. Kirsten; Diamond, Antony W.; Addison, Jason A.

    2013-01-01

    The predator-prey interactions within food chains are used to both characterize and understand ecosystems. Conventional methods of constructing food chains from visual identification of prey in predator diet can suffer from poor taxonomic resolution, misidentification, and bias against small or completely digestible prey. Next-generation sequencing (NGS) technology has become a powerful tool for diet reconstruction through barcoding of DNA in stomach content or fecal samples. Here we use multi-locus (16S and CO1) next-generation sequencing of DNA barcodes on the feces of Atlantic puffin (Fratercula arctica) chicks (n=65) and adults (n=64) and the stomach contents of their main prey, Atlantic herring (Clupea harengus, n=44) to investigate a previously studied food chain. We compared conventional and molecular-derived chick diet, tested the similarity between the diets of puffin adults and chicks, and determined whether herring prey can be detected in puffin diet samples. There was high variability in the coverage of prey groups between 16S and CO1 markers. We identified more unique prey with our 16S compared to CO1 barcoding markers (51 and 39 taxa respectively) with only 12 taxa identified by both genes. We found no significant difference between the 16S-identified diets of puffin adults (n=17) and chicks (n=41). Our molecular method is more taxonomically resolved and detected chick prey at higher frequencies than conventional field observations. Many likely planktonic prey of herring were detected in feces from puffin adults and chicks, highlighting the impact secondary consumption may have on the interpretation of molecular dietary analysis. This study represents the first simultaneous molecular investigation into the diet of multiple components of a food chain and highlights the utility of a multi-locus approach to diet reconstruction that is broadly applicable to food web analysis. PMID:24358258

  19. From puffins to plankton: a DNA-based analysis of a seabird food chain in the northern Gulf of Maine.

    PubMed

    Bowser, A Kirsten; Diamond, Antony W; Addison, Jason A

    2013-01-01

    The predator-prey interactions within food chains are used to both characterize and understand ecosystems. Conventional methods of constructing food chains from visual identification of prey in predator diet can suffer from poor taxonomic resolution, misidentification, and bias against small or completely digestible prey. Next-generation sequencing (NGS) technology has become a powerful tool for diet reconstruction through barcoding of DNA in stomach content or fecal samples. Here we use multi-locus (16S and CO1) next-generation sequencing of DNA barcodes on the feces of Atlantic puffin (Fratercula arctica) chicks (n=65) and adults (n=64) and the stomach contents of their main prey, Atlantic herring (Clupea harengus, n=44) to investigate a previously studied food chain. We compared conventional and molecular-derived chick diet, tested the similarity between the diets of puffin adults and chicks, and determined whether herring prey can be detected in puffin diet samples. There was high variability in the coverage of prey groups between 16S and CO1 markers. We identified more unique prey with our 16S compared to CO1 barcoding markers (51 and 39 taxa respectively) with only 12 taxa identified by both genes. We found no significant difference between the 16S-identified diets of puffin adults (n=17) and chicks (n=41). Our molecular method is more taxonomically resolved and detected chick prey at higher frequencies than conventional field observations. Many likely planktonic prey of herring were detected in feces from puffin adults and chicks, highlighting the impact secondary consumption may have on the interpretation of molecular dietary analysis. This study represents the first simultaneous molecular investigation into the diet of multiple components of a food chain and highlights the utility of a multi-locus approach to diet reconstruction that is broadly applicable to food web analysis.

  20. Adaptive Markov chain Monte Carlo forward projection for statistical analysis in epidemic modelling of human papillomavirus.

    PubMed

    Korostil, Igor A; Peters, Gareth W; Cornebise, Julien; Regan, David G

    2013-05-20

    A Bayesian statistical model and estimation methodology based on forward projection adaptive Markov chain Monte Carlo is developed in order to perform the calibration of a high-dimensional nonlinear system of ordinary differential equations representing an epidemic model for human papillomavirus types 6 and 11 (HPV-6, HPV-11). The model is compartmental and involves stratification by age, gender and sexual-activity group. Developing this model and a means to calibrate it efficiently is relevant because HPV is a very multi-typed and common sexually transmitted infection with more than 100 types currently known. The two types studied in this paper, types 6 and 11, are causing about 90% of anogenital warts. We extend the development of a sexual mixing matrix on the basis of a formulation first suggested by Garnett and Anderson, frequently used to model sexually transmitted infections. In particular, we consider a stochastic mixing matrix framework that allows us to jointly estimate unknown attributes and parameters of the mixing matrix along with the parameters involved in the calibration of the HPV epidemic model. This matrix describes the sexual interactions between members of the population under study and relies on several quantities that are a priori unknown. The Bayesian model developed allows one to estimate jointly the HPV-6 and HPV-11 epidemic model parameters as well as unknown sexual mixing matrix parameters related to assortativity. Finally, we explore the ability of an extension to the class of adaptive Markov chain Monte Carlo algorithms to incorporate a forward projection strategy for the ordinary differential equation state trajectories. Efficient exploration of the Bayesian posterior distribution developed for the ordinary differential equation parameters provides a challenge for any Markov chain sampling methodology, hence the interest in adaptive Markov chain methods. We conclude with simulation studies on synthetic and recent actual data.

  1. Probabilistic accident consequence uncertainty analysis: Food chain uncertainty assessment. Volume 2: Appendices

    SciTech Connect

    Brown, J.; Goossens, L.H.J.; Kraan, B.C.P.

    1997-06-01

    This volume is the second of a two-volume document that summarizes a joint project by the US Nuclear Regulatory and the Commission of European Communities to assess uncertainties in the MACCS and COSYMA probabilistic accident consequence codes. These codes were developed primarily for estimating the risks presented by nuclear reactors based on postulated frequencies and magnitudes of potential accidents. This two-volume report, which examines mechanisms and uncertainties of transfer through the food chain, is the first in a series of five such reports. A panel of sixteen experts was formed to compile credible and traceable uncertainty distributions for food chain transfer that affect calculations of offsite radiological consequences. Seven of the experts reported on transfer into the food chain through soil and plants, nine reported on transfer via food products from animals, and two reported on both. The expert judgment elicitation procedure and its outcomes are described in these volumes. This volume contains seven appendices. Appendix A presents a brief discussion of the MAACS and COSYMA model codes. Appendix B is the structure document and elicitation questionnaire for the expert panel on soils and plants. Appendix C presents the rationales and responses of each of the members of the soils and plants expert panel. Appendix D is the structure document and elicitation questionnaire for the expert panel on animal transfer. The rationales and responses of each of the experts on animal transfer are given in Appendix E. Brief biographies of the food chain expert panel members are provided in Appendix F. Aggregated results of expert responses are presented in graph format in Appendix G.

  2. Systemic lupus erythematosus: molecular cloning and analysis of recombinant DNase monoclonal κ light chain NGK-1.

    PubMed

    Kostrikina, Irina A; Odintsova, Elena S; Buneva, Valentina N; Nevinsky, Georgy A

    2014-08-01

    Because DNase antibodies are cytotoxic, enter the nucleus and cause DNA fragmentation inducing cell death by apoptosis, they can play an important role in the pathogenesis of different autoimmune pathologies and especially systemic lupus erythematosus (SLE). The interesting goal of catalytic antibodies research is not only to study a possible biological role of such antibodies, but also to develop in future new human and animal therapies that use the advantages offered by abzymes. An immunoglobulin κ light chain library from SLE patients was cloned into a phagemid vector. Phage particles displaying recombinant monoclonal antibody light chains (MLChs) capable of binding DNA were isolated by affinity chromatography on DNA-cellulose. Sixteen of the 46 MLChs efficiently hydrolyzed DNA; one MLCh (approximately 27-28kDa) was expressed in Escherichia coli and purified by metal chelating and gel filtration. MLCh NGK-1 was electrophoretically homogeneous and demonstrated a positive answer with mouse IgGs against light chains of human antibodies after western blotting. SDS-PAGE in a gel containing DNA demonstrated that the MLCh hydrolyzes DNA and is not contaminated by canonical DNases. The DNase MLCh was activated by several metal ions. The protein sequence of the DNase MLCh has homology with mammalian DNases I and shares with them several identical or similar (with the same side chain functionality) important amino acid residues, which are necessary for DNA hydrolysis and binding of Mg(2+) and Ca(2+) ions. The affinity of DNA for this first example of a MLCh (K(M) = 0.3 microM) was 150- to 200-fold higher than for human DNase I.

  3. Applying commodity chain analysis to changing modes of alcohol supply in a developing country.

    PubMed

    Jernigan, D H

    2000-12-01

    Development sociology has used global commodity chains as one way of analyzing the dynamics of power and profit-taking in globalized production networks made up of multiple firms and occurring in multiple national settings. A substantial portion of the alcohol supply in developing countries is now produced through such production networks. Particularly in the beer and spirits trade, a small number of transnational firms control networks of local producers, importers, advertisers and distributors. These networks serve to embed transnational or transnationally backed brands in the local culture, using the tools of market research, product design and marketing to influence local drinking practices. Case materials from Malaysia's beer industry help to illustrate how the transnational firms dominate in those links of the commodity chain in which monopoly or oligopoly control is most likely to be found: the design/recipe and marketing/advertising nodes. Their control of the commodity chains and extraction of monopoly or oligopoly profits from them places substantial resources and influence over drinking settings and practices in foreign hands. The impact of this influence on state efficacy and autonomy in setting alcohol policy is an important subject for future research on the creation and implementation of effective alcohol policies in developing societies.

  4. A Comprehensive Genomic Analysis Reveals the Genetic Landscape of Mitochondrial Respiratory Chain Complex Deficiencies

    PubMed Central

    Nyuzuki, Hiromi; Moriyama, Yohsuke; Mizuno, Yosuke; Hirata, Tomoko; Yatsuka, Yukiko; Yamashita-Sugahara, Yzumi; Nakachi, Yutaka; Kato, Hidemasa; Okuda, Akihiko; Tamaru, Shunsuke; Borna, Nurun Nahar; Banshoya, Kengo; Aigaki, Toshiro; Sato-Miyata, Yukiko; Ohnuma, Kohei; Suzuki, Tsutomu; Nagao, Asuteka; Maehata, Hazuki; Matsuda, Fumihiko; Higasa, Koichiro; Nagasaki, Masao; Yasuda, Jun; Yamamoto, Masayuki; Fushimi, Takuya; Shimura, Masaru; Kaiho-Ichimoto, Keiko; Harashima, Hiroko; Yamazaki, Taro; Mori, Masato; Murayama, Kei; Ohtake, Akira; Okazaki, Yasushi

    2016-01-01

    Mitochondrial disorders have the highest incidence among congenital metabolic disorders characterized by biochemical respiratory chain complex deficiencies. It occurs at a rate of 1 in 5,000 births, and has phenotypic and genetic heterogeneity. Mutations in about 1,500 nuclear encoded mitochondrial proteins may cause mitochondrial dysfunction of energy production and mitochondrial disorders. More than 250 genes that cause mitochondrial disorders have been reported to date. However exact genetic diagnosis for patients still remained largely unknown. To reveal this heterogeneity, we performed comprehensive genomic analyses for 142 patients with childhood-onset mitochondrial respiratory chain complex deficiencies. The approach includes whole mtDNA and exome analyses using high-throughput sequencing, and chromosomal aberration analyses using high-density oligonucleotide arrays. We identified 37 novel mutations in known mitochondrial disease genes and 3 mitochondria-related genes (MRPS23, QRSL1, and PNPLA4) as novel causative genes. We also identified 2 genes known to cause monogenic diseases (MECP2 and TNNI3) and 3 chromosomal aberrations (6q24.3-q25.1, 17p12, and 22q11.21) as causes in this cohort. Our approaches enhance the ability to identify pathogenic gene mutations in patients with biochemically defined mitochondrial respiratory chain complex deficiencies in clinical settings. They also underscore clinical and genetic heterogeneity and will improve patient care of this complex disorder. PMID:26741492

  5. Analysis of the immunoglobulin light chain genes in zebra finch: evolutionary implications.

    PubMed

    Das, Sabyasachi; Mohamedy, Uzra; Hirano, Masayuki; Nei, Masatoshi; Nikolaidis, Nikolas

    2010-01-01

    All jawed vertebrates produce immunoglobulins (IGs) as a defense mechanism against pathogens. Typically, IGs are composed of two identical heavy chains (IGH) and two identical light chains (IGL). Most tetrapod species encode more than one isotype of light chains. Chicken is the only representative of birds for which genomic information is currently available and is an exception to the above rule because it encodes only a single IGL isotype (i.e., lambda). Here, we show that the genome of zebra finch, another bird species, encodes a single IGL isotype, that is, lambda, like the chicken. These results strongly suggest that the second isotype (i.e., kappa) present in both reptiles and mammals was lost in a very early stage of bird evolution. Furthermore, we show that both chicken and zebra finch contain a single set of functional variable, joining, and constant region genes and multiple variable region pseudogenes. The latter finding suggests that this type of genomic organization was already present in the common ancestor of these bird species and remained unchanged over a long evolutionary time. This conservation is in contrast with the high levels of variation observed in the mammalian IGL loci. The presence of a single functional variable region gene followed by multiple variable pseudogenes in zebra finch suggest that this species may be generating antibody diversity by a gene conversion-like mechanism like the chicken.

  6. Energy rectification in quantum graded spin chains: Analysis of the XXZ model

    NASA Astrophysics Data System (ADS)

    Schuab, Lucas; Pereira, Emmanuel; Landi, Gabriel T.

    2016-10-01

    In this work, with focus on the energy-transport properties in quantum, low-dimensional, graded materials, we address the investigation of the energy (and spin) current in X X Z open chains with graded inner structures and driven out of equilibrium by magnetization pumping applied at the ends. We study several types of graded structures in different situations in order to show a ubiquitous occurrence of energy rectification, even for the system under a homogeneous magnetic field. Due to technical difficulties, we carry out the computation for small chains, but we present arguments that indicate the extension of some results to larger systems. Recalling the generic existence of energy rectification in classical, graded materials, which are described by anharmonic chains of oscillators, and recalling also the anharmonicity of these X X Z models, which involve quartic terms in more transparent representation in terms of fermionic creation and annihilation operators, we may say that our results extend the ubiquity of energy rectification occurrence in classical graded materials to the case of quantum systems.

  7. A Risk Analysis of the Molybdenum-99 Supply Chain Using Bayesian Networks

    NASA Astrophysics Data System (ADS)

    Liang, Jeffrey Ryan

    The production of Molybdenum-99 (99Mo) is critical to the field of nuclear medicine, where it is utilized in roughly 80% of all nuclear imaging procedures. In October of 2016, the National Research Universal (NRU) reactor in Canada, which historically had the highest 99Mo production capability worldwide, ceased routine production and will be permanently shut down in 2018. This loss of capacity has led to widespread concern over the ability of the 99Mo supply chain and to meet demand. There is significant disagreement among analyses from trade groups, governments, and other researchers, predicting everything from no significant impact to major worldwide shortages. Using Bayesian networks, this research focused on modeling the 99Mo supply chain to quantify how a disrupting event, such as the unscheduled downtime of a reactor, will impact the global supply. This not only includes quantifying the probability of a shortage occurring, but also identifying which nodes in the supply chain introduce the most risk to better inform decision makers on where future facilities or other risk mitigation techniques should be applied.

  8. A Comprehensive Genomic Analysis Reveals the Genetic Landscape of Mitochondrial Respiratory Chain Complex Deficiencies.

    PubMed

    Kohda, Masakazu; Tokuzawa, Yoshimi; Kishita, Yoshihito; Nyuzuki, Hiromi; Moriyama, Yohsuke; Mizuno, Yosuke; Hirata, Tomoko; Yatsuka, Yukiko; Yamashita-Sugahara, Yzumi; Nakachi, Yutaka; Kato, Hidemasa; Okuda, Akihiko; Tamaru, Shunsuke; Borna, Nurun Nahar; Banshoya, Kengo; Aigaki, Toshiro; Sato-Miyata, Yukiko; Ohnuma, Kohei; Suzuki, Tsutomu; Nagao, Asuteka; Maehata, Hazuki; Matsuda, Fumihiko; Higasa, Koichiro; Nagasaki, Masao; Yasuda, Jun; Yamamoto, Masayuki; Fushimi, Takuya; Shimura, Masaru; Kaiho-Ichimoto, Keiko; Harashima, Hiroko; Yamazaki, Taro; Mori, Masato; Murayama, Kei; Ohtake, Akira; Okazaki, Yasushi

    2016-01-01

    Mitochondrial disorders have the highest incidence among congenital metabolic disorders characterized by biochemical respiratory chain complex deficiencies. It occurs at a rate of 1 in 5,000 births, and has phenotypic and genetic heterogeneity. Mutations in about 1,500 nuclear encoded mitochondrial proteins may cause mitochondrial dysfunction of energy production and mitochondrial disorders. More than 250 genes that cause mitochondrial disorders have been reported to date. However exact genetic diagnosis for patients still remained largely unknown. To reveal this heterogeneity, we performed comprehensive genomic analyses for 142 patients with childhood-onset mitochondrial respiratory chain complex deficiencies. The approach includes whole mtDNA and exome analyses using high-throughput sequencing, and chromosomal aberration analyses using high-density oligonucleotide arrays. We identified 37 novel mutations in known mitochondrial disease genes and 3 mitochondria-related genes (MRPS23, QRSL1, and PNPLA4) as novel causative genes. We also identified 2 genes known to cause monogenic diseases (MECP2 and TNNI3) and 3 chromosomal aberrations (6q24.3-q25.1, 17p12, and 22q11.21) as causes in this cohort. Our approaches enhance the ability to identify pathogenic gene mutations in patients with biochemically defined mitochondrial respiratory chain complex deficiencies in clinical settings. They also underscore clinical and genetic heterogeneity and will improve patient care of this complex disorder.

  9. Real-time polymerase chain reaction for diagnosing infectious mononucleosis in pediatric patients: A systematic review and meta-analysis.

    PubMed

    Jiang, Sha-Yi; Yang, Jing-Wei; Shao, Jing-Bo; Liao, Xue-Lian; Lu, Zheng-Hua; Jiang, Hui

    2016-05-01

    In this meta-analysis, we evaluated the diagnostic role of Epstein-Barr virus deoxyribonucleic acid detection and quantitation in the serum of pediatric and young adult patients with infectious mononucleosis. The primary outcome of this meta-analysis was the sensitivity and specificity of Epstein-Barr virus (EBV) deoxyribonucleic acid (DNA) detection and quantitation using polymerase chain reaction (PCR). A systematic review and meta-analysis was performed by searching for articles that were published through September 24, 2014 in the following databases: Medline, Cochrane, EMBASE, and Google Scholar. The following keywords were used for the search: "Epstein-Barr virus," "infectious mononucleosis," "children/young adults/infant/pediatric," and "polymerase chain reaction or PCR." Three were included in this analysis. We found that for detection by PCR, the pooled sensitivity for detecting EBV DNA was 77% (95%CI, 66-86%) and the pooled specificity for was 98% (95%CI, 93-100%). Our findings indicate that this PCR-based assay has high specificity and good sensitivity for detecting of EBV DNA, indicating it may useful for identifying patients with infectious mononucleosis. This assay may also be helpful to identify young athletic patients or highly physically active pediatric patients who are at risk for a splenic rupture due to acute infectious mononucleosis.

  10. Flow cytometric analysis of immunoglobulin heavy chain expression in B-cell lymphoma and reactive lymphoid hyperplasia

    PubMed Central

    Grier, David D; Al-Quran, Samer Z; Cardona, Diana M; Li, Ying; Braylan, Raul C

    2012-01-01

    The diagnosis of B-cell lymphoma (BCL) is often dependent on the detection of clonal immunoglobulin (Ig) light chain expression. In some BCLs, the determination of clonality based on Ig light chain restriction may be difficult. The aim of our study was to assess the utility of flow cytometric analysis of surface Ig heavy chain (HC) expression in lymphoid tissues in distinguishing lymphoid hyperplasias from BCLs, and also differentiating various BCL subtypes. HC expression on B-cells varied among different types of hyperplasias. In follicular hyperplasia, IgM and IgD expression was high in mantle cells while germinal center cells showed poor HC expression. In other hyperplasias, B cell compartments were blurred but generally showed high IgD and IgM expression. Compared to hyperplasias, BCLs varied in IgM expression. Small lymphocytic lymphomas had lower IgM expression than mantle cell lymphomas. Of importance, IgD expression was significantly lower in BCLs than in hyperplasias, a finding that can be useful in differentiating lymphoma from reactive processes. PMID:22400070

  11. Designing Performance Measurement For Supply Chain's Actors And Regulator Using Scale Balanced Scorecard And Data Envelopment Analysis

    NASA Astrophysics Data System (ADS)

    Kusrini, Elisa; Subagyo; Aini Masruroh, Nur

    2016-01-01

    This research is a sequel of the author's earlier conducted researches in the fields of designing of integrated performance measurement between supply chain's actors and regulator. In the previous paper, the design of performance measurement is done by combining Balanced Scorecard - Supply Chain Operation Reference - Regulator Contribution model and Data Envelopment Analysis. This model referred as B-S-Rc-DEA model. The combination has the disadvantage that all the performance variables have the same weight. This paper investigates whether by giving weight to performance variables will produce more sensitive performance measurement in detecting performance improvement. Therefore, this paper discusses the development of the model B-S-Rc-DEA by giving weight to its performance'variables. This model referred as Scale B-S-Rc-DEA model. To illustrate the model of development, some samples from small medium enterprises of leather craft industry supply chain in province of Yogyakarta, Indonesia are used in this research. It is found that Scale B-S-Rc-DEA model is more sensitive to detecting performance improvement than B-S- Rc-DEA model.

  12. Anaerobic Fe(III) reduction by Shewanella putrefaciens: Analysis of the electron transport chain

    SciTech Connect

    Daad Saffarini

    2004-01-20

    The goals of the project were to isolate mutants that are deficient in metal reduction, identify components of the electron transport chain that are involved in this process, and purify some of these proteins for biochemical analyses. In the 3-year period since the start of the project, we have accomplished many of these goals. We have isolated several new S. oneidensis mutants that are deficient in metal reduction, and have initiated the development of vectors for the overexpression of cytochromes and other proteins in S. oneidensis. We have also overexpressed CymA, one of the c cytochromes that are involved in metal reduction.

  13. Under-reported data analysis with INAR-hidden Markov chains.

    PubMed

    Fernández-Fontelo, Amanda; Cabaña, Alejandra; Puig, Pedro; Moriña, David

    2016-11-20

    In this work, we deal with correlated under-reported data through INAR(1)-hidden Markov chain models. These models are very flexible and can be identified through its autocorrelation function, which has a very simple form. A naïve method of parameter estimation is proposed, jointly with the maximum likelihood method based on a revised version of the forward algorithm. The most-probable unobserved time series is reconstructed by means of the Viterbi algorithm. Several examples of application in the field of public health are discussed illustrating the utility of the models. Copyright © 2016 John Wiley & Sons, Ltd.

  14. Mitigation of ammonia, nitrous oxide and methane emissions from manure management chains: a meta-analysis and integrated assessment.

    PubMed

    Hou, Yong; Velthof, Gerard L; Oenema, Oene

    2015-03-01

    Livestock manure contributes considerably to global emissions of ammonia (NH3 ) and greenhouse gases (GHG), especially methane (CH4 ) and nitrous oxide (N2 O). Various measures have been developed to mitigate these emissions, but most of these focus on one specific gas and/or emission source. Here, we present a meta-analysis and integrated assessment of the effects of mitigation measures on NH3 , CH4 and (direct and indirect) N2 O emissions from the whole manure management chain. We analysed the effects of mitigation technologies on NH3 , CH4 and N2 O emissions from individual sources statistically using results of 126 published studies. Whole-chain effects on NH3 and GHG emissions were assessed through scenario analysis. Significant NH3 reduction efficiencies were observed for (i) housing via lowering the dietary crude protein (CP) content (24-65%, compared to the reference situation), for (ii) external slurry storages via acidification (83%) and covers of straw (78%) or artificial films (98%), for (iii) solid manure storages via compaction and covering (61%, compared to composting), and for (iv) manure application through band spreading (55%, compared to surface application), incorporation (70%) and injection (80%). Acidification decreased CH4 emissions from stored slurry by 87%. Significant increases in N2 O emissions were found for straw-covered slurry storages (by two orders of magnitude) and manure injection (by 26-199%). These side-effects of straw covers and slurry injection on N2 O emission were relatively small when considering the total GHG emissions from the manure chain. Lowering the CP content of feed and acidifying slurry are strategies that consistently reduce NH3 and GHG emissions in the whole chain. Other strategies may reduce emissions of a specific gas or emissions source, by which there is a risk of unwanted trade-offs in the manure management chain. Proper farm-scale combinations of mitigation measures are important to minimize impacts of

  15. Comparison of marker types and map assumptions using Markov chain Monte Carlo-based linkage analysis of COGA data.

    PubMed

    Sieh, Weiva; Basu, Saonli; Fu, Audrey Q; Rothstein, Joseph H; Scheet, Paul A; Stewart, William C L; Sung, Yun J; Thompson, Elizabeth A; Wijsman, Ellen M

    2005-12-30

    We performed multipoint linkage analysis of the electrophysiological trait ECB21 on chromosome 4 in the full pedigrees provided by the Collaborative Study on the Genetics of Alcoholism (COGA). Three Markov chain Monte Carlo (MCMC)-based approaches were applied to the provided and re-estimated genetic maps and to five different marker panels consisting of microsatellite (STRP) and/or SNP markers at various densities. We found evidence of linkage near the GABRB1 STRP using all methods, maps, and marker panels. Difficulties encountered with SNP panels included convergence problems and demanding computations.

  16. Combinatorial analysis of mRNA expression patterns in mouse embryos using hybridization chain reaction.

    PubMed

    Huss, David; Choi, Harry M T; Readhead, Carol; Fraser, Scott E; Pierce, Niles A; Lansford, Rusty

    2015-03-02

    Multiplexed fluorescent hybridization chain reaction (HCR) and advanced imaging techniques can be used to evaluate combinatorial gene expression patterns in whole mouse embryos with unprecedented spatial resolution. Using HCR, DNA probes complementary to mRNA targets trigger chain reactions in which metastable fluorophore-labeled DNA HCR hairpins self-assemble into tethered fluorescent amplification polymers. Each target mRNA is detected by a probe set containing one or more DNA probes, with each probe carrying two HCR initiators. For multiplexed experiments, probe sets for different target mRNAs carry orthogonal initiators that trigger orthogonal DNA HCR amplification cascades labeled by spectrally distinct fluorophores. As a result, in situ amplification is performed for all targets simultaneously, and the duration of the experiment is independent of the number of target mRNAs. We have used multiplexed fluorescent in situ HCR and advanced imaging technologies to address questions of cell heterogeneity and tissue complexity in craniofacial patterning and anterior neural development. In the sample protocol presented here, we detect three different mRNA targets: Tg(egfp), encoding the enhanced green fluorescent protein (GFP) transgene (typically used as a control); Twist1, encoding a transcription factor involved in cell lineage determination and differentiation; and Pax2, encoding a transcription factor expressed in the mid-hindbrain region of the mouse embryo.

  17. Cockroach fauna in the Ogasawara Chain Islands of Japan and analysis of their habitats.

    PubMed

    Komatsu, Noriyuki; Kishimoto, Toshio; Uchida, Akihiko; Ooi, Hong-Kean

    2013-03-01

    A survey of cockroach fauna was carried out on the 3 inhabited islands of the Ogasawara chain island of Japan, namely, Chichijima island, Hahajima island and Iwo island. Seven species, namely, Periplaneta americana (Linnaeus, 1758), Periplaneta australasiae (Fabricius, 1775), Blattella lituricollis (Walker, 1868), Onychostylus vilis (Brunner von Wattenwyl, 1865), Supella longipalpa (Fabricius, 1798), Pycnoscelus surinamensis (Linnaeus, 1758) and Opisthoplatia orientalis (Burmeister, 1838), were collected on Chichijima island. Four species, namely, P. americana, P. australasiae, O. vilis and P. surinamensis were collected on Hahajima island and 6 species, namely, P. americana, P. australasiae, B. lituricollis, O. vilis, P. surinamensis and Neostylopyga rhombifolia were collected on Iwo island. This is the first record of N. rhombifolia and Onychostylus orientalis on the Ogasawara chain islands. Our study increases the recorded taxon of cockroaches on the Ogasawara from 3 families, 5 genera 10 species to 4 families, 7 genera, 12 species. A list of the cockroach species on Ogasawara islands reported to date as well as a key for their identification is also presented. Periplaneta americana and P. australasiae, being the dominant species, together with S. longipalpa, were collected mostly in the indoor environment, indicating their preference for this habitat. Pycnoscelus surinamensis, which is considered as an outdoor insect has been found in semi-household environments such as greenhouse and shed, indicating their new adaptation to the changing environment.

  18. Environmental Impacts and Hotspots of Food Losses: Value Chain Analysis of Swiss Food Consumption.

    PubMed

    Beretta, Claudio; Stucki, Matthias; Hellweg, Stefanie

    2017-10-03

    Reducing food losses and waste is crucial to making our food system more efficient and sustainable. This is the first paper that quantifies the environmental impacts of food waste by distinguishing the various stages of the food value chain, 33 food categories that represent the whole food basket in Switzerland, and including food waste treatment. Environmental impacts are expressed in terms of climate change and biodiversity impacts due to water and land use. Climate change impacts of food waste are highest for fresh vegetables, due to the large amounts wasted, while the specific impact per kg is largest for beef. Biodiversity impacts are mainly caused by cocoa and coffee (16% of total) and by beef (12%). Food waste at the end of the food value chain (households and food services) causes almost 60% of the total climate impacts of food waste, because of the large quantities lost at this stage and the higher accumulated impacts per kg of product. The net environmental benefits from food waste treatment are only 5-10% of the impacts from production and supply of the wasted food. Thus, avoiding food waste should be a first-line priority, while optimizing the method of treatment is less relevant.

  19. Analysis of Information on Food Chain in Europe and Piedmont Region, Italy.

    PubMed

    Pattono, Daniele; Bertolina, Barbara; Bottero, Maria Teresa; Chiesa, Francesco; Civera, Tiziana

    2014-08-28

    Food chain information (FCI) is an innovation of the new European regulation. Its purpose is to enhance the concept of food security. FCI includes specifications such as: health status, information on treatments and diseases, analytical reports on control plans, zoonoses or environmental contaminants, production performance, etc. The aim of this article is to compare the different European guidelines and analyse the situation in Piedmont in order to assess potential problems and propose solutions. European guidelines are similar one another, but they have been tailored to the epidemiological situations of each state. Except for Spain and Germany, FCI models are different for each species and the poultry sector is the most detailed. Unfortunately, Italy has not provided guidelines yet, and this has generated considerable differences. Overall, the number of FCI models with incomplete information is the largest group compared to the models not completed for each entry. The main deficiencies are related to pharmacological treatments. The health status of the farm is listed consistently regarding the compulsory eradication plans, but other national voluntary or accreditation plans are rarely mentioned. The situation is similar in other European countries. In conclusion, FCI is an effective tool if applied with consistency and reason. Only in this way the collection of data will be effective and representative of the food chain.

  20. Mechanical analysis and force chain determination in granular materials using digital image correlation.

    PubMed

    Chen, Fanxiu; Zhuang, Qi; Zhang, Huixin

    2016-06-20

    The mechanical behaviors of granular materials are governed by the grain properties and microstructure of the materials. We conducted experiments to study the force transmission in granular materials using plane strain tests. The large amount of nearly continuous displacement data provided by the advanced noncontact experimental technique of digital image correlation (DIC) has provided a means to quantify local displacements and strains at the particle level. The average strain of each particle could be calculated based on the DIC method, and the average stress could be obtained using Hooke's law. The relationship between the stress and particle force could be obtained based on basic Newtonian mechanics and the balance of linear momentum at the particle level. This methodology is introduced and validated. In the testing procedure, the system is tested in real 2D particle cases, and the contact forces and force chain are obtained and analyzed. The system has great potential for analyzing a real granular system and measuring the contact forces and force chain.

  1. Falling chains

    NASA Astrophysics Data System (ADS)

    Wong, Chun Wa; Yasui, Kosuke

    2006-06-01

    The one-dimensional fall of a folded chain with one end suspended from a rigid support and a chain falling from a resting heap on a table is studied. Because their Lagrangians contain no explicit time dependence, the falling chains are conservative systems. Their equations of motion are shown to contain a term that enforces energy conservation when masses are transferred between subchains. We show that Cayley's 1857 energy nonconserving solution for a chain falling from a resting heap is incorrect because it neglects the energy gained when a link leaves a subchain. The maximum chain tension measured by Calkin and March for the falling folded chain is given a simple if rough interpretation. Other aspects of the falling folded chain are briefly discussed.

  2. [Microarray analytic system for multiplex analysis by real-time polymerase chain reaction with reagents immobilized in microreactors].

    PubMed

    Navolotskiĭ, D V; Perchik, A V; Mark'ianov, I A; Ganeev, A A; Sliadnev, M N

    2011-01-01

    A microarray analytic system that uses a silicon chip with immobilized in microreactor test-system for multiplex analysis of DNA by real-time polymerase chain reaction (RT-PCR) was developed and optimized. We suggested the method of immobilization of PCR-components of a test-system, chose the stabilizer, and conducted the optimization of the composition of reaction mixture to achieve permanent stability of a microarray. We conducted optimization of preparation of samples using magnetic sorbent and indicated that, with 2.6 x 10(4) copies/ml, 60 min are necessary to obtain positive identification including time for preparation of model probes. The abilities of the created system were demonstrated on the example of microarray analysis of samples with different content of DNA, low absolute limits of identification (20 DNA copies in microreactor), and high reproducibility of the analysis.

  3. A suite of Mathematica notebooks for the analysis of protein main chain 15N NMR relaxation data.

    PubMed

    Spyracopoulos, Leo

    2006-12-01

    A suite of Mathematica notebooks has been designed to ease the analysis of protein main chain 15N NMR relaxation data collected at a single magnetic field strength. Individual notebooks were developed to perform the following tasks: nonlinear fitting of 15N-T1 and -T2 relaxation decays to a two parameter exponential decay, calculation of the principal components of the inertia tensor from protein structural coordinates, nonlinear optimization of the principal components and orientation of the axially symmetric rotational diffusion tensor, model-free analysis of 15N-T1, -T2, and {1H}-15N NOE data, and reduced spectral density analysis of the relaxation data. The principle features of the notebooks include use of a minimal number of input files, integrated notebook data management, ease of use, cross-platform compatibility, automatic visualization of results and generation of high-quality graphics, and output of analyses in text format.

  4. Prediction of response to preoperative chemoradiotherapy in rectal cancer by using reverse transcriptase polymerase chain reaction analysis of four genes.

    PubMed

    Watanabe, Toshiaki; Kobunai, Takashi; Akiyoshi, Takashi; Matsuda, Keiji; Ishihara, Soichiro; Nozawa, Keijiro

    2014-01-01

    Patients with rectal cancer exhibit a wide spectrum of responses to chemoradiotherapy. Several gene expression signatures have been reported to predict the response to chemoradiotherapy in rectal cancer, but the lack of practical assays has restricted the clinical use of this technique. We aimed to identify a set of discriminating genes that can be used for the clinical prediction of response to chemoradiotherapy in rectal cancer. This study is a retrospective analysis of tumor samples in a single institute. Sixty-two patients who underwent preoperative chemoradiotherapy were studied. Gene expression was initially studied in 46 training samples by microarray analysis, and the association between gene expression and response to chemoradiotherapy was evaluated. Quantitative reverse transcriptase polymerase chain reaction was performed to validate the microarray expression levels of the discriminating genes. We developed a gene expression model for the prediction of response to chemoradiotherapy based on the reverse transcriptase polymerase chain reaction findings and validated it by using 16 independent test samples. We identified 24 discriminating probes with expression levels that differed significantly between responders and nonresponders. Among 18 genes identified by Gene Symbol, real-time reverse transcriptase polymerase chain reaction showed significant differences in the expression of 16 genes between responders and nonresponders. We constructed a predictive model by using different sets of these 16 genes, and the highest accuracy rate (89.1%) was obtained by using LRRIQ3, FRMD3, SAMD5, and TMC7. The predictive accuracy rate of this 4-gene signature in the independent set of 16 patients was 81.3%. Validation in a different and large cohort of patients is necessary. The 4-gene signature identified in this study is closely associated with response to chemoradiotherapy in rectal cancer.

  5. Prediction of fatty acid chain length and unsaturation of milk fat by mid-infrared milk analysis.

    PubMed

    Wojciechowski, Karen L; Barbano, David M

    2016-11-01

    Our objective was to develop partial least squares (PLS) models to predict fatty acid chain length and total unsaturation of milk fat directly from a mid-infrared (MIR) spectra of milk at 40°C and then determine the feasibility of using those measures as correction factors to improve the accuracy of milk fat determination. A set of 268 milks (modified milks, farm bulk tank milks, and individual cow) were analyzed for fat, true protein, and anhydrous lactose with chemical reference methods, and in addition a MIR absorption spectra was collected for each milk. Fat was extracted from another portion of each milk, the fat was saponified to produce free fatty acids, and the free fatty acids were converted to methyl esters and quantified using gas-liquid chromatography. The PLS models for predicting the average chain length (carbons per fatty acid) and unsaturation (double bonds per fatty acid) of fatty acids in the fat portion of a milk sample from a MIR milk spectra were developed and validated. The validation performance of the prediction model for chain length and unsaturation had a relative standard deviation of 0.43 and 3.3%, respectively. These measures are unique in that they are fat concentration independent characteristics of fat structure that were predicted directly with transmission MIR analysis of milk. Next, the real-time data output from the MIR spectrophotometer for fatty acid chain length and unsaturation of milk were used to correct the fat A (C=O stretch) and fat B (C-H stretch) measures to improve accuracy of fat prediction. The accuracy validation was done over a period of 5 mo with 12 sets of 10 individual farm milks that were not a part of the PLS modeling population. The correction of a traditional fat B virtual filter result (C-H stretch) for sample-to-sample variation in unsaturation reduced the Euclidean distance for predicted fat from 0.034 to 0.025. The correction of a traditional fat A virtual filter result (C=O stretch) modified with

  6. Analysis of seismoionospheric disturbances at the Chain of Japanese stations for vertical sounding of the ionosphere

    NASA Astrophysics Data System (ADS)

    Korsunova, L. P.; Khegai, V. V.

    2008-06-01

    Seismoionospheric disturbances in the parameters of the ionospheric F 2 and sporadic E layers at the chain of the Japanese stations for vertical sounding of the ionosphere before strong crustal earthquakes with M>6.5 during the period from 1968 to 1992 have been considered. The dependence of the disturbance time of appearance in the ionospheric parameters on the earthquake magnitude and epicentral distance, obtained for each specific earthquake using the selected series of ionospheric stations, made it possible to consider these disturbances among medium-term precursors of earthquakes. The velocity of the disturbance front apparent motion has been determined based on the model of horizontal radially-isotropic disturbance propagation from the projection of the impending earthquake epicenter to the ionospheric altitudes. The conclusion has been made that the distinguished seismoionospheric disturbances follow the boundary of the earthquake preparation region, expanding on the Earth’s surface.

  7. Supply Chain Vulnerability Analysis Using Scenario-Based Input-Output Modeling: Application to Port Operations.

    PubMed

    Thekdi, Shital A; Santos, Joost R

    2016-05-01

    Disruptive events such as natural disasters, loss or reduction of resources, work stoppages, and emergent conditions have potential to propagate economic losses across trade networks. In particular, disruptions to the operation of container port activity can be detrimental for international trade and commerce. Risk assessment should anticipate the impact of port operation disruptions with consideration of how priorities change due to uncertain scenarios and guide investments that are effective and feasible for implementation. Priorities for protective measures and continuity of operations planning must consider the economic impact of such disruptions across a variety of scenarios. This article introduces new performance metrics to characterize resiliency in interdependency modeling and also integrates scenario-based methods to measure economic sensitivity to sudden-onset disruptions. The methods will be demonstrated on a U.S. port responsible for handling $36.1 billion of cargo annually. The methods will be useful to port management, private industry supply chain planning, and transportation infrastructure management.

  8. Quantitative Analysis of Periodontal Pathogens Using Real-Time Polymerase Chain Reaction (PCR).

    PubMed

    Marin, Mª José; Figuero, Elena; Herrera, David; Sanz, Mariano

    2017-01-01

    The quantitative polymerase chain reaction (qPCR) is a variant of PCR aimed to detect and quantify a targeted DNA molecule through the addition of probes labeled with fluorescent molecules that emit fluorescence within each amplification cycle, what results in fluorescence values proportional to the amount of accumulated PCR product. This chapter presents the detailed procedures for quantification of different periodontal pathogens (Porphyromonas gingivalis, Aggregatibacter actinomycetemcomitans, Tannerella forsythia, Campylobacter rectus, and Fusobacterium spp.) using qPCR. It also includes the description of the most frequent problems encountered and how to solve them. In addition, a detailed protocol for multiplex qPCR to detect and quantify P. gingivalis and A. actinomycetemcomitans is included.

  9. 'Chain pooling' model selection as developed for the statistical analysis of a rotor burst protection experiment

    NASA Technical Reports Server (NTRS)

    Holms, A. G.

    1977-01-01

    A statistical decision procedure called chain pooling had been developed for model selection in fitting the results of a two-level fixed-effects full or fractional factorial experiment not having replication. The basic strategy included the use of one nominal level of significance for a preliminary test and a second nominal level of significance for the final test. The subject has been reexamined from the point of view of using as many as three successive statistical model deletion procedures in fitting the results of a single experiment. The investigation consisted of random number studies intended to simulate the results of a proposed aircraft turbine-engine rotor-burst-protection experiment. As a conservative approach, population model coefficients were chosen to represent a saturated 2 to the 4th power experiment with a distribution of parameter values unfavorable to the decision procedures. Three model selection strategies were developed.

  10. Analysis of a stochastic tri-trophic food-chain model with harvesting.

    PubMed

    Liu, Meng; Bai, Chuanzhi

    2016-09-01

    We consider a tri-trophic stochastic food-chain model with harvesting. We first establish critical values between persistence in mean and extinction for each species. The results show that persistence and extinction of a species only depends on the demographic impacts of environmental stochasticity on the species and species at lower tropic levels; however, the mean abundance of a species depends on the impacts of environmental stochasticity at all trophic levels. Then we consider stability in distribution of the model. Finally, we provide a necessary and sufficient condition for existence of optimal harvesting strategy and give the optimal harvesting effort and maximum of sustainable yield. The results show that the optimal harvesting strategy is closely related to the stochastic noises in the model.

  11. Simulation analysis of formycin 5'-monophosphate analog substrates in the ricin A-chain active site.

    PubMed

    Olson, M A; Scovill, J P; Hack, D C

    1995-06-01

    Ricin is an RNA N-glycosidase that hydrolyzes a single adenine base from a conserved loop of 28S ribosomal RNA, thus inactivating protein synthesis. Molecular-dynamics simulation methods are used to analyze the structural interactions and thermodynamics that govern the binding of formycin 5'-monophosphate (FMP) and several of its analogs to the active site of ricin A-chain. Simulations are carried out initiated from the X-ray crystal structure of the ricin-FMP complex with the ligand modeled as a dianion, monoanion and zwitterion. Relative changes in binding free energies are estimated for FMP analogs constructed from amino substitutions at the 2- and 2'-positions, and from hydroxyl substitution at the 2'-position.

  12. Analysis of mitochondrial respiratory chain supercomplexes using blue native polyacrylamide gel electrophoresis (BN-PAGE)

    PubMed Central

    Jha, Pooja; Wang, Xu; Auwerx, Johan

    2016-01-01

    Mitochondria are cellular organelles that produce energy in the form of ATP through a process termed oxidative phosphorylation (OXPHOS), which occurs via the protein complexes of the electron transport chain (ETC). In recent years it has become unequivocally clear that mitochondrial complexes of the ETC are not static entities in the inner mitochondrial membrane. These complexes are dynamic and in mammals they aggregate in different stoichiometric combinations to form supercomplexes (SCs) or respirasomes. It has been proposed that the net respiration is more efficient via SCs than via isolated complexes. However, it still needs to be determined whether the activity of a particular SC is associated with a disease etiology. Here we describe a simplified method to visualize and assess in-gel activity of SCs and the individual complexes with a good resolution on blue native polyacrylamide gel electrophoresis (BN-PAGE). PMID:26928661

  13. A methodology for stochastic analysis of share prices as Markov chains with finite states.

    PubMed

    Mettle, Felix Okoe; Quaye, Enoch Nii Boi; Laryea, Ravenhill Adjetey

    2014-01-01

    Price volatilities make stock investments risky, leaving investors in critical position when uncertain decision is made. To improve investor evaluation confidence on exchange markets, while not using time series methodology, we specify equity price change as a stochastic process assumed to possess Markov dependency with respective state transition probabilities matrices following the identified state pace (i.e. decrease, stable or increase). We established that identified states communicate, and that the chains are aperiodic and ergodic thus possessing limiting distributions. We developed a methodology for determining expected mean return time for stock price increases and also establish criteria for improving investment decision based on highest transition probabilities, lowest mean return time and highest limiting distributions. We further developed an R algorithm for running the methodology introduced. The established methodology is applied to selected equities from Ghana Stock Exchange weekly trading data.

  14. Simulation analysis of formycin 5?-monophosphate analog substrates in the ricin A-chain active site

    NASA Astrophysics Data System (ADS)

    Olson, Mark A.; Scovill, John P.; Hack, Dallas C.

    1995-06-01

    Ricin is an RNA N-glycosidase that hydrolyzes a single adenine base from a conserved loop of 28S ribosomal RNA, thus inactivating protein synthesis. Molecular-dynamics simulation methods are used to analyze the structural interactions and thermodynamics that govern the binding of formycin 5'-monophosphate (FMP) and several of its analogs to the active site of ricin A-chain. Simulations are carried out initiated from the X-ray crystal structure of the ricin-FMP complex with the ligand modeled as a dianion, monoanion and zwitterion. Relative changes in binding free energies are estimated for FMP analogs constructed from amino substitutions at the 2- and 2'-positions, and from hydroxyl substitution at the 2'-position.

  15. Polymerase chain reaction-based analysis of microorganisms associated with failed endodontic treatment.

    PubMed

    Siqueira, José F; Rôças, Isabela N

    2004-01-01

    In this study, we aimed to investigate the occurrence of several microbial species in cases of failed endodontic therapy by means of the polymerase chain reaction (PCR). Study design Root canal samples were taken from 22 root-filled teeth with persistent periradicular lesions selected for re-treatment. DNA was extracted from the samples and analyzed for the presence of 19 microbial taxa by using the polymerase chain reaction. All samples were positive for at least 1 of the target microbial species. Enterococcus faecalis was the most prevalent species-detected in 77% of the cases. The other most prevalent species were Pseudoramibacter alactolyticus (52%), Propionibacterium propionicum (52%), Dialister pneumosintes (48%), and Filifactor alocis (48%). Candida albicans was found in 9% of the samples. The mean number of species in samples filled up to 2 mm short of the radiographic apex was 3 (range, 1-5), whereas cases in which the filling was greater than 2 mm from the apex yielded a mean of 5 species (range, 2-11). This difference was statistically significant (P <.05). Microorganisms occurred in all cases of root-filled teeth associated with periradicular lesions, which lends strong support to the assertion that treatment failures are rather of infectious etiology, caused by persistent or secondary intraradicular infections. E faecalis was the most prevalent species, followed by 4 other anaerobic species: P. alactolyticus, P. propionicum, D. pneumosintes, and F. alocis. All examined samples harbored at least 1 of the following gram-positive bacterial species: E. faecalis, P. alactolyticus, or P. propionicum.

  16. Rapid detection of Wuchereria bancrofti in mosquitoes by LightCycler polymerase chain reaction and melting curve analysis.

    PubMed

    Lulitanond, Virapong; Intapan, Pewpan M; Pipitgool, Vichit; Choochote, Wej; Maleewong, Wanchai

    2004-11-01

    A LightCycler real-time polymerase chain reaction (PCR) assay was developed to detect Wuchereria bancrofti DNA in blood-fed mosquitoes. The assay is based on fluorescence melting curve analysis of the PCR product generated from a family of repeated DNA elements: the 182 bp SspI repeat, specific to the genus Wuchereria. According to the melting temperature, W. bancrofti infected-mosquitoes were differentiated from Brugia malayi-infected and non-infected mosquitoes as well as from genomic DNA of Dirofilaria immitis and human DNA. The method proved to be 100% sensitive in all W. bancrofti-infected mosquitoes. Melting curve analysis offers a rapid alternative for the specific detection of W. bancrofti in mosquitoes. It is very accurate and sensitive, allows a high throughput and can be performed on very small samples. The method therefore has great potential for application in epidemiological studies.

  17. New insights into the properties and interactions of carbon chains as revealed by HRTEM and DFT analysis

    PubMed Central

    Casillas, Gilberto; Mayoral, Alvaro; Liu, Mingjie; Ponce, Arturo; Artyukhov, Vasilii I.; Yakobson, Boris I.; Jose-Yacaman, Miguel

    2013-01-01

    Atomic carbon chains have raised interest for their possible applications as graphene interconnectors as the thinnest nanowires; however, they are hard to synthesize and subsequently to study. We present here a reproducible method to synthesize carbon chains in situ TEM. Moreover, we present a direct observation of the bond length alternation in a pure carbon chain by aberration corrected TEM. Also, cross bonding between two carbon chains, 5 nm long, is observed experimentally and confirmed by DFT calculations. Finally, while free standing carbon chains were observed to be straight due to tensile loading, a carbon chain inside the walls of a carbon nanotube showed high flexibility. PMID:24363453

  18. Ethanol distribution, dispensing, and use: analysis of a portion of the biomass-to-biofuels supply chain using system dynamics.

    PubMed

    Vimmerstedt, Laura J; Bush, Brian; Peterson, Steve

    2012-01-01

    The Energy Independence and Security Act of 2007 targets use of 36 billion gallons of biofuels per year by 2022. Achieving this may require substantial changes to current transportation fuel systems for distribution, dispensing, and use in vehicles. The U.S. Department of Energy and the National Renewable Energy Laboratory designed a system dynamics approach to help focus government action by determining what supply chain changes would have the greatest potential to accelerate biofuels deployment. The National Renewable Energy Laboratory developed the Biomass Scenario Model, a system dynamics model which represents the primary system effects and dependencies in the biomass-to-biofuels supply chain. The model provides a framework for developing scenarios and conducting biofuels policy analysis. This paper focuses on the downstream portion of the supply chain-represented in the distribution logistics, dispensing station, and fuel utilization, and vehicle modules of the Biomass Scenario Model. This model initially focused on ethanol, but has since been expanded to include other biofuels. Some portions of this system are represented dynamically with major interactions and feedbacks, especially those related to a dispensing station owner's decision whether to offer ethanol fuel and a consumer's choice whether to purchase that fuel. Other portions of the system are modeled with little or no dynamics; the vehicle choices of consumers are represented as discrete scenarios. This paper explores conditions needed to sustain an ethanol fuel market and identifies implications of these findings for program and policy goals. A large, economically sustainable ethanol fuel market (or other biofuel market) requires low end-user fuel price relative to gasoline and sufficient producer payment, which are difficult to achieve simultaneously. Other requirements (different for ethanol vs. other biofuel markets) include the need for infrastructure for distribution and dispensing and

  19. Ethanol Distribution, Dispensing, and Use: Analysis of a Portion of the Biomass-to-Biofuels Supply Chain Using System Dynamics

    SciTech Connect

    Vimmerstedt, L. J.; Bush, B.; Peterson, S.

    2012-05-01

    The Energy Independence and Security Act of 2007 targets use of 36 billion gallons of biofuels per year by 2022. Achieving this may require substantial changes to current transportation fuel systems for distribution, dispensing, and use in vehicles. The U.S. Department of Energy and the National Renewable Energy Laboratory designed a system dynamics approach to help focus government action by determining what supply chain changes would have the greatest potential to accelerate biofuels deployment. The National Renewable Energy Laboratory developed the Biomass Scenario Model, a system dynamics model which represents the primary system effects and dependencies in the biomass-to-biofuels supply chain. The model provides a framework for developing scenarios and conducting biofuels policy analysis. This paper focuses on the downstream portion of the supply chain-represented in the distribution logistics, dispensing station, and fuel utilization, and vehicle modules of the Biomass Scenario Model. This model initially focused on ethanol, but has since been expanded to include other biofuels. Some portions of this system are represented dynamically with major interactions and feedbacks, especially those related to a dispensing station owner's decision whether to offer ethanol fuel and a consumer's choice whether to purchase that fuel. Other portions of the system are modeled with little or no dynamics; the vehicle choices of consumers are represented as discrete scenarios. This paper explores conditions needed to sustain an ethanol fuel market and identifies implications of these findings for program and policy goals. A large, economically sustainable ethanol fuel market (or other biofuel market) requires low end-user fuel price relative to gasoline and sufficient producer payment, which are difficult to achieve simultaneously. Other requirements (different for ethanol vs. other biofuel markets) include the need for infrastructure for distribution and dispensing and

  20. Markov chains and entropy tests in genetic-based lithofacies analysis of deep-water clastic depositional systems

    NASA Astrophysics Data System (ADS)

    Borka, Szabolcs

    2016-01-01

    The aim of this study was to examine the relationship between structural elements and the so-called genetic lithofacies in a clastic deep-water depositional system. Process-sedimentology has recently been gaining importance in the characterization of these systems. This way the recognized facies attributes can be associated with the depositional processes establishing the genetic lithofacies. In this paper this approach was presented through a case study of a Tertiary deep-water sequence of the Pannonian-basin. Of course it was necessary to interpret the stratigraphy of the sequences in terms of "general" sedimentology, focusing on the structural elements. For this purpose, well-logs and standard deep-water models were applied. The cyclicity of sedimentary sequences can be easily revealed by using Markov chains. Though Markov chain analysis has broad application in mainly fluvial depositional environments, its utilization is uncommon in deep-water systems. In this context genetic lithofacies was determined and analysed by embedded Markov chains. The randomness in the presence of a lithofacies within a cycle was estimated by entropy tests (entropy after depositional, before depositional, for the whole system). Subsequently the relationships between lithofacies were revealed and a depositional model (i.e. modal cycle) was produced with 90% confidence level of stationarity. The non-randomness of the latter was tested by chi-square test. The consequences coming from the comparison of "general" sequences (composed of architectural elements), the genetic-based sequences (showing the distributions of the genetic lithofacies) and the lithofacies relationships were discussed in details. This way main depositional channel has the best, channelized lobes have good potential hydrocarbon reservoir attributes, with symmetric alternation of persistent fine-grained sandstone (Facies D) and muddy fine-grained sandstone with traction structures (Facies F)

  1. A Novel, Essential Control for Clonality Analysis with Human Androgen Receptor Gene Polymerase Chain Reaction

    PubMed Central

    van Dijk, Jeroen P.; Heuver, Leonie H.; van der Reijden, Bert A.; Raymakers, Reinier A.; de Witte, Theo; Jansen, Joop H.

    2002-01-01

    The most widely used technique for determining clonality based on X-chromosome inactivation is the human androgen receptor gene polymerase chain reaction (PCR). The reliability of this assay depends critically on the digestion of DNA before PCR with the methylation-sensitive restriction enzyme HpaII. We have developed a novel method for quantitatively monitoring the HpaII digestion in individual samples. Using real-time quantitative PCR we measured the efficiency of HpaII digestion by measuring the amplification of a gene that escapes X-chromosome inactivation (XE169) before and after digestion. This method was tested in blood samples from 30 individuals: 2 healthy donors and 28 patients with myelodysplastic syndrome. We found a lack of XE169 DNA reduction after digestion in the granulocytes of two myelodysplastic syndrome patients leading to a false polyclonal X-chromosome inactivation pattern. In all other samples a significant reduction of XE169 DNA was observed after HpaII digestion. The median reduction was 220-fold, ranging from a 9.0-fold to a 57,000-fold reduction. Also paraffin-embedded malignant tissue was investigated from two samples of patients with mantle cell lymphoma and two samples of patients with colon carcinoma. In three of these cases inefficient HpaII digestion led to inaccurate X-chromosome inactivation pattern ratios. We conclude that monitoring the efficiency of the HpaII digestion in a human androgen receptor gene PCR setting is both necessary and feasible. PMID:12213708

  2. Analysis of fecal short chain fatty acid concentration in miniature dachshunds with inflammatory colorectal polyps.

    PubMed

    Igarashi, Hirotaka; Ohno, Koichi; Matsuki, Naoaki; Fujiwara-Igarashi, Aki; Kanemoto, Hideyuki; Fukushima, Kenjiro; Uchida, Kazuyuki; Tsujimoto, Hajime

    2017-09-04

    Short chain fatty acids (SCFAs) play an important role in the maintenance of colonic homeostasis, and their depletion has been reported in various gastrointestinal disorders. Inflammatory colorectal polyps (ICRPs) are a recently recognized disease specific to miniature dachshunds (MDs), and fecal dysbiosis with a reduction of SCFA-producing bacteria has been reported with this disease. Therefore, this study was performed based on the hypothesis that a reduced SCFA concentration associates with the development of ICRPs. We recruited 11 ICRP-affected MDs and 25 control MDs. Their fecal SCFA concentrations and bacterial proportions were quantified using high performance liquid chromatography and quantitative real-time PCR, respectively. The feces of ICRP-affected MDs contained lower amounts of propionic acid and lower proportions of Bifidobacterium than the feces of control MDs. Furthermore, fecal proportions of Bifidobacterium, Firmicutes and Lactobacillus exhibited significant positive correlations with fecal concentrations of total SCFAs and/or propionic acid; fecal Escherichia coli proportions correlated negatively with fecal concentrations of total SCFAs, as well as acetic, propionic and butyric acid. This result indicates an association between fecal dysbiosis and fecal SCFA concentrations; these phenomena may contribute to ICRP pathogenesis in MDs. Potential therapeutic targeting of the reduced propionic acid concentration using probiotics, prebiotics or SCFA enemas merits further study.

  3. Mathematical modeling, analysis and Markov Chain Monte Carlo simulation of Ebola epidemics

    NASA Astrophysics Data System (ADS)

    Tulu, Thomas Wetere; Tian, Boping; Wu, Zunyou

    Ebola virus infection is a severe infectious disease with the highest case fatality rate which become the global public health treat now. What makes the disease the worst of all is no specific effective treatment available, its dynamics is not much researched and understood. In this article a new mathematical model incorporating both vaccination and quarantine to study the dynamics of Ebola epidemic has been developed and comprehensively analyzed. The existence as well as uniqueness of the solution to the model is also verified and the basic reproduction number is calculated. Besides, stability conditions are also checked and finally simulation is done using both Euler method and one of the top ten most influential algorithm known as Markov Chain Monte Carlo (MCMC) method. Different rates of vaccination to predict the effect of vaccination on the infected individual over time and that of quarantine are discussed. The results show that quarantine and vaccination are very effective ways to control Ebola epidemic. From our study it was also seen that there is less possibility of an individual for getting Ebola virus for the second time if they survived his/her first infection. Last but not least real data has been fitted to the model, showing that it can used to predict the dynamic of Ebola epidemic.

  4. Probabilistic accident consequence uncertainty analysis: Food chain uncertainty assessment. Volume 1: Main report

    SciTech Connect

    Brown, J.; Goossens, L.H.J.; Kraan, B.C.P.

    1997-06-01

    This volume is the first of a two-volume document that summarizes a joint project conducted by the US Nuclear Regulatory Commission and the European Commission to assess uncertainties in the MACCS and COSYMA probabilistic accident consequence codes. These codes were developed primarily for estimating the risks presented by nuclear reactors based on postulated frequencies and magnitudes of potential accidents. This document reports on an ongoing project to assess uncertainty in the MACCS and COSYMA calculations for the offsite consequences of radionuclide releases by hypothetical nuclear power plant accidents. A panel of sixteen experts was formed to compile credible and traceable uncertainty distributions for food chain variables that affect calculations of offsite consequences. The expert judgment elicitation procedure and its outcomes are described in these volumes. Other panels were formed to consider uncertainty in other aspects of the codes. Their results are described in companion reports. Volume 1 contains background information and a complete description of the joint consequence uncertainty study. Volume 2 contains appendices that include (1) a summary of the MACCS and COSYMA consequence codes, (2) the elicitation questionnaires and case structures for both panels, (3) the rationales and results for the panels on soil and plant transfer and animal transfer, (4) short biographies of the experts, and (5) the aggregated results of their responses.

  5. Exceptional motifs in different Markov chain models for a statistical analysis of DNA sequences.

    PubMed

    Schbath, S; Prum, B; de Turckheim, E

    1995-01-01

    Identifying exceptional motifs is often used for extracting information from long DNA sequences. The two difficulties of the method are the choice of the model that defines the expected frequencies of words and the approximation of the variance of the difference T(W) between the number of occurrences of a word W and its estimation. We consider here different Markov chain models, either with stationary or periodic transition probabilities. We estimate the variance of the difference T(W) by the conditional variance of the number of occurrences of W given the oligonucleotides counts that define the model. Two applications show how to use asymptotically standard normal statistics associated with the counts to describe a given sequence in terms of its outlying words. Sequences of Escherichia coli and of Bacillus subtilis are compared with respect to their exceptional tri- and tetranucleotides. For both bacteria, exceptional 3-words are mainly found in the coding frame. E. coli palindrome counts are analyzed in different models, showing that many overabundant words are one-letter mutations of avoided palindromes.

  6. From cysteine to longer chain thiols: thermodynamic analysis of cadmium binding by phytochelatins and their fragments.

    PubMed

    Chekmeneva, Elena; Gusmão, Rui; Díaz-Cruz, José Manuel; Ariño, Cristina; Esteban, Miquel

    2011-08-01

    Isothermal Titration Calorimetry (ITC) was used to study the binding of Cd(2+) by phytochelatins ((γGlu-Cys)(n)-Gly, PC(n); n = 1-5) and their selected fragments (Cys, Cys-Gly and γGlu-Cys) in order to understand the influence of the chain length on the complex stabilities and the origin of the enhanced affinities in Tris buffer at pH 7.5 and 8.5 and at 25 °C. Different complexes are formed with glutathione (GSH) and its fragments, Cys, Cys-Gly and γGlu-Cys, and their stabilities depend on the corresponding pK(a) value of the thiol group in the ligands. The stability of Cd-PC(n) complexes increases moving towards higher PC(2-5), as well as the complexing capacity expressed as the number of metal ions that can be bound by one ligand molecule. The affinity of Cd(2+) for the PC(n) can be described by the following GSH < PC(2) < PC(3)≤ PC(4)≤ PC(5) sequence. On the basis of these thermodynamic data it is possible to explain the abundance of certain Cd-PC(n) complexes found in nature. The comprehension of the thermodynamic rules that govern the interactions of Cd(2+) with PC(n) and their constituents is of great service in the research with real plant samples subjected to metal stress and in the development of new strategies of bio/phytoremediation.

  7. Vibrational nonequilibrium in chain branching reactions of hydrogen combustion using quasi-classical trajectory analysis

    NASA Astrophysics Data System (ADS)

    Voelkel, Stephen; Raman, Venkat; Varghese, Philip

    2015-11-01

    In high-speed reactive flows in scramjets, thermal nonequilibrium is introduced in the flow via shock waves. Though rotational and translational energy modes relax back to equilibrium quickly, vibrational relaxation is comparable to the bulk mixing and reaction timescales. The discrepancy between vibration and rotation/translation energy distributions can dramatically alter on the initiation of the fuel oxidation process. For continuum-scale applications, thermal nonequilibrium effects are derived from the rovibrational state-specific reaction and scattering rates associated with the chemical mechanism. In this work, the state-specific reaction rates are calculated for the chain branching reactions in the hydrogen combustion mechanism using a quasi-classical trajectory (QCT) framework. The state-specific rates are incorporated into a multiple temperature continuum-scale model whereby each species is characterized by a Boltzmann distribution parametrized by its own vibrational temperature. The flame ignition rates are implemented in a CFD code to simulate a reactive coflow. Funded by AFOSR FA9550-12-1-0460.

  8. Analysis of hepcidin expression: In situ hybridization and quantitative polymerase chain reaction from paraffin sections

    PubMed Central

    Sakuraoka, Yuhki; Sawada, Tokihiko; Shiraki, Takayuki; Park, Kyunghwa; Sakurai, Yuhichiro; Tomosugi, Naohisa; Kubota, Keiichi

    2012-01-01

    AIM: To establish methods for quantitative polymerase chain reaction (PCR) for hepcidin using RNAs isolated from paraffin-embedded sections and in situ hybridization of hepatocellular carcinoma (HCC). METHODS: Total RNA from paraffin-embedded sections was isolated from 68 paraffin-embedded samples of HCC. Samples came from 54 male and 14 female patients with a mean age of 66.8 ± 7.8 years. Quantitative PCR was performed. Immunohistochemistry and in situ hybridization for hepcidin were also performed. RESULTS: Quantitative PCR for hepcidin using RNAs isolated from paraffin-embedded sections of HCC was performed successfully. The expression level of hepcidin mRNA in cancer tissues was significantly higher than that in non-cancer tissues. A method of in situ hybridization for hepcidin was established successfully, and this demonstrated that hepcidin mRNA was expressed in non-cancerous tissue but absent in cancerous tissue. CONCLUSION: We have established novel methods for quantitative PCR for hepcidin using RNAs isolated from paraffin-embedded sections and in situ hybridization of HCC. PMID:22851866

  9. Analysis of hepcidin expression: in situ hybridization and quantitative polymerase chain reaction from paraffin sections.

    PubMed

    Sakuraoka, Yuhki; Sawada, Tokihiko; Shiraki, Takayuki; Park, Kyunghwa; Sakurai, Yuhichiro; Tomosugi, Naohisa; Kubota, Keiichi

    2012-07-28

    To establish methods for quantitative polymerase chain reaction (PCR) for hepcidin using RNAs isolated from paraffin-embedded sections and in situ hybridization of hepatocellular carcinoma (HCC). Total RNA from paraffin-embedded sections was isolated from 68 paraffin-embedded samples of HCC. Samples came from 54 male and 14 female patients with a mean age of 66.8 ± 7.8 years. Quantitative PCR was performed. Immunohistochemistry and in situ hybridization for hepcidin were also performed. Quantitative PCR for hepcidin using RNAs isolated from paraffin-embedded sections of HCC was performed successfully. The expression level of hepcidin mRNA in cancer tissues was significantly higher than that in non-cancer tissues. A method of in situ hybridization for hepcidin was established successfully, and this demonstrated that hepcidin mRNA was expressed in non-cancerous tissue but absent in cancerous tissue. We have established novel methods for quantitative PCR for hepcidin using RNAs isolated from paraffin-embedded sections and in situ hybridization of HCC.

  10. Sequence analysis of the myosin regulatory light chain gene of the vestimentiferan Riftia pachyptila.

    PubMed

    Ravaux, J; Hassanin, A; Deutsch, J; Gaill, F; Markmann-Mulisch, U

    2001-01-24

    We have isolated and characterized a cDNA (DNA complementary to RNA) clone (Rf69) from the vestimentiferan Riftia pachyptila. The cDNA insert consists of 1169 base pairs. The aminoacid sequence deduced from the longest reading frame is 193 residues in length, and clearly characterized it as a myosin regulatory light chain (RLC). The RLC primary structure is described in relation to its function in muscle contraction. The comparison with other RLCs suggested that Riftia myosin is probably regulated through its RLC either by phosphorylation like the vertebrate smooth muscle myosins, and/or by Ca2+-binding like the mollusk myosins. Riftia RLC possesses a N-terminal extension lacking in all other species besides the earthworm Lumbricus terrestris. Aminoacid sequence comparisons with a number of RLCs from vertebrates and invertebrates revealed a relatively high identity score (64%) between Riftia RLC and the homologous gene from Lumbricus. The relationships between the members of the myosin RLCs were examined by two phylogenetic methods, i.e. distance matrix and maximum parsimony. The resulting trees depict the grouping of the RLCs according to their role in myosin activity regulation. In all trees, Riftia RLC groups with RLCs that depend on Ca2+-binding for myosin activity regulation.

  11. In vivo analysis of the murine beta-myosin heavy chain gene promoter.

    PubMed

    Rindt, H; Gulick, J; Knotts, S; Neumann, J; Robbins, J

    1993-03-05

    The 5' upstream region of the murine beta-myosin heavy chain (MHC) gene has been isolated and tested for its ability to drive gene expression in transgenic mice. Three classes of transgenic mice were generated. The constructs contained approximately 5000, 2500, and 600 base pairs of beta-MHC upstream sequence fused to the chloramphenicol acetyltransferase gene and were termed beta 5, beta 2.5, and beta .6, respectively. Muscle-specific expression was observed with all three constructs. However, only the beta 5 lines directed high levels of muscle-specific transgene expression in both pre- and postbirth mice. Expression driven by the two shorter constructs was two to three orders of magnitude lower when the chloramphenicol acetyltransferase specific activities were compared. These data suggest that a distal-positive element directs high levels of gene expression in the ventricle and in slow skeletal muscles. Analyses of transgene expression during heart maturation revealed that some of the beta 5 lines were not able to respond in an appropriate manner to developmental transcriptional cues. Unlike the endogenous beta-MHC gene, which is down regulated in the ventricles around the time of birth, reporter gene expression in the majority of the lines generated was not shut off in the ventricles of the adult animals. These data indicate that high levels of muscle-specific beta-MHC gene expression are dependent upon the combinatorial interactions of a number of sequence elements that are distributed over a large region of the gene's upstream sequence.

  12. Quantitative analysis of periodontal pathogens by ELISA and real-time polymerase chain reaction.

    PubMed

    Hamlet, Stephen M

    2010-01-01

    The development of analytical methods enabling the accurate identification and enumeration of bacterial species colonizing the oral cavity has led to the identification of a small number of bacterial pathogens that are major factors in the etiology of periodontal disease. Further, these methods also underpin more recent epidemiological analyses of the impact of periodontal disease on general health. Given the complex milieu of over 700 species of microorganisms known to exist within the complex biofilms found in the oral cavity, the identification and enumeration of oral periodontopathogens has not been an easy task. In recent years however, some of the intrinsic limitations of the more traditional microbiological analyses previously used have been overcome with the advent of immunological and molecular analytical methods. Of the plethora of methodologies reported in the literature, the enzyme-linked immunosorbent assay (ELISA), which combines the specificity of antibody with the sensitivity of simple enzyme assays and the polymerase chain reaction (PCR), has been widely utilized in both laboratory and clinical applications. Although conventional PCR does not allow quantitation of the target organism, real-time PCR (rtPCR) has the ability to detect amplicons as they accumulate in "real time" allowing subsequent quantitation. These methods enable the accurate quantitation of as few as 10(2) (using rtPCR) to 10(4) (using ELISA) periodontopathogens in dental plaque samples.

  13. Analysis and comparison of the mouse and human immunoglobulin heavy chain JH-Cmu-Cdelta locus.

    PubMed

    Koop, B F; Richards, J E; Durfee, T D; Bansberg, J; Wells, J; Gilliam, A C; Chen, H L; Clausell, A; Tucker, P W; Blattner, F R

    1996-02-01

    We report here 23,686 bases of contiguous DNA sequences from the mouse germline immunoglobulin heavy chain (H) constant (C) mu delta region. The sequence spans the joining (JH) regions, the mu constant region (C mu), the delta constant region (C delta) coding regions, a domain relic, the mu switch region (S mu), seven blocks of simple sequence repeats, a large unique sequence inverted repeat, a large unique sequence forward repeat, and all of the intervening material. A comparison of this 23.7-kb region with the corresponding human C mu/C delta region reveals clear homology in the coding and introns of C mu but not in the 5' flanking J gene segments nor in the intergenic and C delta regions. This mixed pattern of similarity between the human and the mouse sequences contrasts with high levels of similarity found in the T-cell receptor C alpha/C delta region and alpha and beta myosin genes and the very low levels found in the gamma-crystallin, XRCC1, and beta-globin gene clusters. The human and mouse comparison further suggests the incorporation of novel sequences into expressed genes of IgD.

  14. Age-dependent partnering and the HIV transmission chain: a microsimulation analysis.

    PubMed

    Bershteyn, Anna; Klein, Daniel J; Eckhoff, Philip A

    2013-11-06

    Efficient planning and evaluation of human immunodeficiency virus (HIV) prevention programmes requires an understanding of what sustains the epidemic, including the mechanism by which HIV transmission keeps pace with the ageing of the infected population. Recently, more detailed population models have been developed which represent the epidemic with sufficient detail to characterize the dynamics of ongoing transmission. Here, we describe the structure and parameters of such a model, called EMOD-HIV v. 0.7. We analyse the chains of transmission that allow the HIV epidemic to propagate across age groups in this model. In order to prevent the epidemic from dying out, the virus must find younger victims faster than its extant victims age and die. The individuals who enable such transmission events in EMOD-HIV v. 0.7 are higher concurrency, co-infected males aged 26-29 and females aged 23-24. Prevention programmes that target these populations could efficiently interrupt the mechanisms that allow HIV to transmit at a pace that is faster than the progress of time.

  15. Immunochemical analysis of respiratory-chain components of micrococcus luteus (lysodeikticus).

    PubMed Central

    Crowe, B A; Owen, P

    1983-01-01

    Membrane-bound antigens of the respiratory chain of Micrococcus luteus were analyzed by crossed immunoelectrophoresis after growth of the organism in the presence of 59Fe, the flavin adenine dinucleotide-flavin mononucleotide precursor D-[2-14C]riboflavin, or the heme precursor 5-amino-[4-(14)C]levulinic acid. Using zymograms and procedures of selective extraction in conjunction with autoradiography, it was possible to resolve and partially characterize a number of antigens. Succinate dehydrogenase (EC 1.3.99.1) was shown to possess covalently bound flavin and nonheme iron and was possibly present as a complex with cytochrome. Three other dehydrogenases, namely, NADH dehydrogenase, NAD(P)H dehydrogenase (EC 1.6.99.3), and malate dehydrogenase (EC 1.1.1.37), contained flavin in noncovalent linkage, the NAD(P)H dehydrogenase also possessing nonheme iron. Four other discrete antigens (or antigen complexes) containing both iron and heme centers also resolved, as were two minor immunogens possessing iron as the sole detectable prosthetic group. Images PMID:6848487

  16. Cost analysis of real-time polymerase chain reaction microbiological diagnosis in patients with septic shock.

    PubMed

    Alvarez, J; Mar, J; Varela-Ledo, E; Garea, M; Matinez-Lamas, L; Rodriguez, J; Regueiro, B

    2012-11-01

    Antibiotic treatment for septic shock is generally prescribed on an empirical basis using broad-spectrum antibiotics. Molecular diagnostic techniques can detect the presence of microbial DNA in blood within a few hours and facilitate early, targeted treatment. The aim of this study was to evaluate the economic impact of a real-time polymerase chain reaction technique, LightCycler SeptiFast (LSC), in patients with sepsis. A cost-minimisation study was carried out in patients admitted with a diagnosis of severe sepsis or septic shock to the intensive care unit of a university hospital. The stay in the intensive care unit, hospital admission, 28-day and six-month mortality, and the economic cost of the clinical process were also evaluated. The study involved 48 patients in the LSC group and 54 patients in the control group. The total cost was €42,198 in the control group versus €32,228 in the LCS group with statistically significant differences (P <0.05), giving rise to an average net saving of €9970 per patient. The mortality rate was similar in both groups. The main finding of this study was the significant economic saving afforded by the use of the LCS technique, due to the shortening of intensive care unit stay and the use of fewer antibiotics.

  17. Mapping-Linked Quantitative Trait Loci Using Bayesian Analysis and Markov Chain Monte Carlo Algorithms

    PubMed Central

    Uimari, P.; Hoeschele, I.

    1997-01-01

    A Bayesian method for mapping linked quantitative trait loci (QTL) using multiple linked genetic markers is presented. Parameter estimation and hypothesis testing was implemented via Markov chain Monte Carlo (MCMC) algorithms. Parameters included were allele frequencies and substitution effects for two biallelic QTL, map positions of the QTL and markers, allele frequencies of the markers, and polygenic and residual variances. Missing data were polygenic effects and multi-locus marker-QTL genotypes. Three different MCMC schemes for testing the presence of a single or two linked QTL on the chromosome were compared. The first approach includes a model indicator variable representing two unlinked QTL affecting the trait, one linked and one unlinked QTL, or both QTL linked with the markers. The second approach incorporates an indicator variable for each QTL into the model for phenotype, allowing or not allowing for a substitution effect of a QTL on phenotype, and the third approach is based on model determination by reversible jump MCMC. Methods were evaluated empirically by analyzing simulated granddaughter designs. All methods identified correctly a second, linked QTL and did not reject the one-QTL model when there was only a single QTL and no additional or an unlinked QTL. PMID:9178021

  18. Lipidomic analysis and electron transport chain activities in C57BL/6J mouse brain mitochondria.

    PubMed

    Kiebish, Michael A; Han, Xianlin; Cheng, Hua; Lunceford, Adam; Clarke, Catherine F; Moon, Hwi; Chuang, Jeffrey H; Seyfried, Thomas N

    2008-07-01

    The objective of this study was to characterize the lipidome and electron transport chain activities in purified non-synaptic (NS) and synaptic (Syn) mitochondria from C57BL/6J mouse cerebral cortex. Contamination from subcellular membranes, especially myelin, has hindered past attempts to accurately characterize the lipid composition of brain mitochondria. An improved Ficoll and sucrose discontinuous gradient method was employed that yielded highly enriched mitochondrial populations free of myelin contamination. The activities of Complexes I, II, III, and II/III were lower in Syn than in NS mitochondria, while Complexes I/III and IV activities were similar in both populations. Shotgun lipidomics showed that levels of cardiolipin (Ptd(2)Gro) were lower, whereas levels of ceramide and phosphatidylserine were higher in Syn than in NS mitochondria. Coenzyme Q(9) and Q(10) was also lower in Syn than in NS mitochondria. Gangliosides, phosphatidic acid, sulfatides, and cerebrosides were undetectable in brain mitochondria. The distribution of Ptd(2)Gro molecular species was similar in both populations and formed a unique pattern, consisting of seven major molecular species groups, when arranged according to mass to charge ratios. Remodeling involving choline and ethanolamine phosphoglycerides could explain Ptd(2)Gro heterogeneity. NS and Syn mitochondrial lipidomic heterogeneity could influence energy metabolism, which may contribute to metabolic compartmentation of the brain.

  19. Rapid nanoscale quantitative analysis of plant sphingolipid long-chain bases by GC-MS.

    PubMed

    Cacas, Jean-Luc; Melser, Su; Domergue, Frédéric; Joubès, Jérôme; Bourdenx, Brice; Schmitter, Jean-Marie; Mongrand, Sébastien

    2012-07-01

    In eukaryotic organisms, sphingolipids are major structural lipids of biological membranes and perform additional essential functions as signalling molecules. While long-chain bases (LCB), the common precursor to all sphingolipid classes, is represented by only one major molecular species in animals and fungi, up to nine LCB have been found in plants. In the absence of genuine plant sphingolipid references required for proper quantification, we have reinvestigated and optimized a protocol destined to the quantification of total plant LCB that relies on the use of gas chromatography-mass spectrometry (GC-MS). This rapid three-step protocol sequentially involves (1) the release of LCB from biological samples using barium hydroxide solution, (2) their oxidation into aldehydes by metaperiodate, and (3) the subsequent identification/quantification of these aldehydes by GC-MS. It is simple and reliable and enables separation of aldehydes upon their stero-specificity. It further enables the quantification of total LCB from a wide variety of samples including yeast and animal cell cultures.

  20. Trends and advances in food analysis by real-time polymerase chain reaction.

    PubMed

    Salihah, Nur Thaqifah; Hossain, Mohammad Mosharraf; Lubis, Hamadah; Ahmed, Minhaz Uddin

    2016-05-01

    Analyses to ensure food safety and quality are more relevant now because of rapid changes in the quantity, diversity and mobility of food. Food-contamination must be determined to maintain health and up-hold laws, as well as for ethical and cultural concerns. Real-time polymerase chain reaction (RT-PCR), a rapid and inexpensive quantitative method to detect the presence of targeted DNA-segments in samples, helps in determining both accidental and intentional adulterations of foods by biological contaminants. This review presents recent developments in theory, techniques, and applications of RT-PCR in food analyses, RT-PCR addresses the limitations of traditional food analyses in terms of sensitivity, range of analytes, multiplexing ability, cost, time, and point-of-care applications. A range of targets, including species of plants or animals which are used as food ingredients, food-borne bacteria or viruses, genetically modified organisms, and allergens, even in highly processed foods can be identified by RT-PCR, even at very low concentrations. Microfluidic RT-PCR eliminates the separate sample-processing step to create opportunities for point-of-care analyses. We also cover the challenges related to using RT-PCR for food analyses, such as the need to further improve sample handling.

  1. Mutation analysis of the ferritin L-chain gene in age-related cataract

    PubMed Central

    Assia, Nurit; Goldenberg-Cohen, Nitza; Rechavi, Gideon; Amariglio, Ninette

    2010-01-01

    Purpose To investigate whether acquired somatic mutations in the iron response element of the ferritin L-chain gene account for the age-related cataract. Methods The 15 most prevalent point mutations causing hereditary hyperferritinemia cataract syndrome (HHCS) were screened in patients with age-related cataract using MALDI-TOF Mass Spectrometry. DNA samples were obtained from the lens capsules of patients following cataract surgery, and subjected to PCR amplification. Products were analyzed by a Sequenom® mass spectrometer, and classified as a mutation or wild type according to molecular weight. For a positive control, L-ferritin G32T mutation detected by direct sequencing in 3 members of an Israeli family known to be affected by HHCS was used. Results DNA samples were isolated from the lens capsules of 90 patients, mean age 73.86, and screened for L-ferritin mutations. While the G32T mutation was detected in all 3 positive control cases, all other patients were negative for the 15 mutations. Conclusions Somatic mutations in the iron response elements (IRE) of the L-ferritin gene are infrequent in the age-related cataract. The role of L-ferritin genetic variations in the pathogenesis of age-related cataract is yet to be explored. PMID:21139976

  2. High-resolution methylation polymerase chain reaction for fragile X analysis: evidence for novel FMR1 methylation patterns undetected in Southern blot analyses.

    PubMed

    Chen, Liangjing; Hadd, Andrew; Sah, Sachin; Houghton, Jeffrey F; Filipovic-Sadic, Stela; Zhang, Wenting; Hagerman, Paul J; Tassone, Flora; Latham, Gary J

    2011-06-01

    Fragile X syndrome is associated with the expansion of CGG trinucleotide repeats and subsequent methylation of the FMR1 gene. Molecular diagnosis of fragile X currently requires Southern blot analysis to assess methylation. This study describes the evaluation of a polymerase chain reaction-only workflow for the determination of methylation status across a broad range of FMR1 genotypes in male and female specimens. We evaluated a novel method that combines allele-specific methylation polymerase chain reaction and capillary electrophoresis with eight cell line and 80 clinical samples, including 39 full mutations. Methylation status was determined using a three-step workflow: (1) differential treatment of genomic DNA using a methylation-sensitive restriction enzyme; (2) polymerase chain reaction with two sets of dye-tagged primers; and (3) amplicon sizing by capillary electrophoresis. All samples were analyzed by both methylation polymerase chain reaction and Southern blot analysis. FMR1 methylation status and CGG repeat sizing were accurately and reproducibly determined in a set of methylation controls and genomic DNA samples representing a spectrum of CGG repeat lengths and methylation states. Moreover, methylation polymerase chain reaction revealed allele-specific methylation patterns in premutation alleles that were unobtainable using Southern blot analysis. Methylation polymerase chain reaction enabled high throughput, high resolution, and semiquantitative methylation assessments of FMR1 alleles, as well as determinations of CGG repeat length. Results for all samples were concordant with corresponding Southern blot analyses. As a result, this study presents a polymerase chain reaction-based method for comprehensive FMR1 analysis. In addition, the identification of novel methylation mosaic patterns revealed after polymerase chain reaction and capillary electrophoresis may be relevant to several FMR1 disorders.

  3. An input-output procedure for calculating economy-wide economic impacts in supply chains using homeland security consequence analysis tools.

    SciTech Connect

    Smith, Braeton J.; Vugrin, Eric D.; Loose, Verne W.; Warren, Drake E.; Vargas, Vanessa N.

    2010-10-01

    Sandia National Laboratories has developed several models to analyze potential consequences of homeland security incidents. Two of these models (the National Infrastructure Simulation and Analysis Center Agent-Based Laboratory for Economics, N-ABLE{trademark}, and Loki) simulate detailed facility- and product-level consequences of simulated disruptions to supply chains. Disruptions in supply chains are likely to reduce production of some commodities, which may reduce economic activity across many other types of supply chains throughout the national economy. The detailed nature of Sandia's models means that simulations are limited to specific supply chains in which detailed facility-level data has been collected, but policymakers are often concerned with the national-level economic impacts of supply-chain disruptions. A preliminary input-output methodology has been developed to estimate national-level economic impacts based upon the results of supply-chain-level simulations. This methodology overcomes two primary challenges. First, the methodology must be relatively simple to integrate successfully with existing models; it must be easily understood, easily applied to the supply-chain models without user intervention, and run quickly. The second challenge is more fundamental: the methodology must account for both upstream and downstream impacts that result from supply-chain disruptions. Input-output modeling typically estimates only upstream impacts, but shortages resulting from disruptions in many supply chains (for example, energy, communications, and chemicals) are likely to have large downstream impacts. In overcoming these challenges, the input-output methodology makes strong assumptions about technology and substitution. This paper concludes by applying the methodology to chemical supply chains.

  4. The value of routine polymerase chain reaction analysis of intraocular fluid specimens in the diagnosis of infectious posterior uveitis.

    PubMed

    Scheepers, Marius A; Lecuona, Karin A; Rogers, Graeme; Bunce, Catey; Corcoran, Craig; Michaelides, Michel

    2013-01-01

    To assess the value of routine polymerase chain reaction (PCR) analysis on intraocular fluid from patients presenting with a first episode of suspected active infectious posterior uveitis in a population with a high prevalence of human immunodeficiency virus infection. Retrospective, interventional case series. Participants. 159 consecutive patients presenting at a tertiary care hospital over a five-year period. PCR analysis was performed for cytomegalovirus, varicella zoster virus, herpes simplex virus types 1 and 2, Toxoplasma gondii, and Mycobacterium tuberculosis. PCR analysis confirmed the initial clinical diagnosis in 55 patients (35%) and altered the initial clinical diagnosis in 36 patients (23%). The clinical diagnosis prior to PCR testing was nonspecific (uncertain) in 51 patients (32%), with PCR providing a definitive final diagnosis in 20 of these patients (39%); necrotizing herpetic retinopathy and ocular toxoplasmosis were particularly difficult to diagnose correctly without the use of PCR analysis. The clinical phenotype alone was unreliable in diagnosing the underlying infectious cause in a quarter of patients in this study. Since the outcome of incorrectly treated infective uveitis can be blinding, PCR analysis of ocular fluids is recommended early in the disease even in resource poor settings.

  5. A valveless microfluidic device for integrated solid phase extraction and polymerase chain reaction for short tandem repeat (STR) analysis.

    PubMed

    Hagan, Kristin A; Reedy, Carmen R; Bienvenue, Joan M; Dewald, Alison H; Landers, James P

    2011-05-07

    A valveless microdevice has been developed for the integration of solid phase extraction (SPE) and polymerase chain reaction (PCR) on a single chip for the short tandem repeat (STR) analysis of DNA from a biological sample. The device consists of two domains--a SPE domain filled with silica beads as a solid phase and a PCR domain with an ~500 nL reaction chamber. DNA from buccal swabs was purified and amplified using the integrated device and a full STR profile (16 loci) resulted. The 16 loci Identifiler® multiplex amplification was performed using a non-contact infrared (IR)-mediated PCR system built in-house, after syringe-driven SPE, providing an ~80-fold and 2.2-fold reduction in sample and reagent volumes consumed, respectively, as well as an ~5-fold reduction in the overall analysis time in comparison to conventional analysis. Results indicate that the SPE-PCR system can be used for many applications requiring genetic analysis, and the future addition of microchip electrophoresis (ME) to the system would allow for the complete processing of biological samples for forensic STR analysis on a single microdevice.

  6. Processing-Dependent and Clonal Contamination Patterns of Listeria monocytogenes in the Cured Ham Food Chain Revealed by Genetic Analysis

    PubMed Central

    Morganti, Marina; Scaltriti, Erika; Cozzolino, Paolo; Bolzoni, Luca; Casadei, Gabriele; Pierantoni, Marco; Foni, Emanuela

    2015-01-01

    The quantitative and qualitative patterns of environmental contamination by Listeria monocytogenes were investigated in the production chain of dry-cured Parma ham. Standard arrays of surfaces were sampled in processing facilities during a single visit per plant in the three compartments of the food chain, i.e., ham production (19 plants) and postproduction, which was divided into deboning (43 plants) and slicing (25 plants) steps. The numbers of sampled surfaces were 384 in ham production, with 25 positive for L. monocytogenes, and 1,084 in postproduction, with 83 positives. Statistical analysis of the prevalence of contaminated surfaces showed that in ham production, contamination was higher at the beginning of processing and declined significantly toward the end, while in postproduction, prevalence rose toward the end of processing. Prevalence was higher in the deboning facilities than in slicing facilities and was dependent on the type of surface (floor/drainage > clothing > equipment). The qualitative pattern of contamination was investigated through an analysis of the survey isolates and a set of isolates derived from routine monitoring, including longitudinal isolations. Pulsed-field gel electrophoresis (PFGE) and whole-genome single-nucleotide polymorphism (SNP) analysis revealed a remarkable clonality of L. monocytogenes within plants, with the detection of 16 plant-specific clones out of 17 establishments with multiple isolates. Repeated detections of clonal isolates >6 months apart were also observed. Six was the maximum number of between-isolate differences in core SNPs observed within these clones. Based on the same six-SNP threshold, three clusters of clonal isolates, shared by six establishments, were also identified. The spread of L. monocytogenes within and between plants, as indicated by its clonal behavior, is a matter of concern for the hygienic management of establishments. PMID:26590278

  7. Processing-Dependent and Clonal Contamination Patterns of Listeria monocytogenes in the Cured Ham Food Chain Revealed by Genetic Analysis.

    PubMed

    Morganti, Marina; Scaltriti, Erika; Cozzolino, Paolo; Bolzoni, Luca; Casadei, Gabriele; Pierantoni, Marco; Foni, Emanuela; Pongolini, Stefano

    2015-11-20

    The quantitative and qualitative patterns of environmental contamination by Listeria monocytogenes were investigated in the production chain of dry-cured Parma ham. Standard arrays of surfaces were sampled in processing facilities during a single visit per plant in the three compartments of the food chain, i.e., ham production (19 plants) and postproduction, which was divided into deboning (43 plants) and slicing (25 plants) steps. The numbers of sampled surfaces were 384 in ham production, with 25 positive for L. monocytogenes, and 1,084 in postproduction, with 83 positives. Statistical analysis of the prevalence of contaminated surfaces showed that in ham production, contamination was higher at the beginning of processing and declined significantly toward the end, while in postproduction, prevalence rose toward the end of processing. Prevalence was higher in the deboning facilities than in slicing facilities and was dependent on the type of surface (floor/drainage > clothing > equipment). The qualitative pattern of contamination was investigated through an analysis of the survey isolates and a set of isolates derived from routine monitoring, including longitudinal isolations. Pulsed-field gel electrophoresis (PFGE) and whole-genome single-nucleotide polymorphism (SNP) analysis revealed a remarkable clonality of L. monocytogenes within plants, with the detection of 16 plant-specific clones out of 17 establishments with multiple isolates. Repeated detections of clonal isolates >6 months apart were also observed. Six was the maximum number of between-isolate differences in core SNPs observed within these clones. Based on the same six-SNP threshold, three clusters of clonal isolates, shared by six establishments, were also identified. The spread of L. monocytogenes within and between plants, as indicated by its clonal behavior, is a matter of concern for the hygienic management of establishments. Copyright © 2016, American Society for Microbiology. All Rights

  8. Biosynthesis and genomic analysis of medium-chain hydrocarbon production by the endophytic fungal isolate Nigrograna mackinonnii E5202H

    PubMed Central

    Shaw, Jeffery J; Spakowicz, Daniel J; Dalal, Rahul S; Davis, Jared H; Lehr, Nina A; Dunican, Brian F; Orellana, Esteban A; Narváez-Trujillo, Alexandra; Strobel, Scott A

    2015-01-01

    An endophytic fungus was isolated that produces a series of volatile natural products, including terpenes and odd chain polyenes. Phylogenetic analysis of the isolate using five loci suggests that it is closely related to Nigrograna mackinnonii CBS 674.75. The main component of the polyene series was purified and identified as (3E,5E,7E)-nona-1,3,5,7-tetraene (NTE), a novel natural product. Non-oxygenated hydrocarbons of this chain length are uncommon and desirable as gasoline-surrogate biofuels. The biosynthetic pathway for NTE production was explored using metabolic labeling and GCMS. Two-carbon incorporation 13C acetate suggests that it is derived from a polyketide synthase (PKS) followed by decarboxylation. There are several known mechanisms for such decarboxylation, though none have been discovered in fungi. Towards identifying the PKS responsible for the production of NTE, the genome of N. mackinnonii E5202H (ATCC SD-6839) was sequenced and assembled. Of the 32 PKSs present in the genome, 17 are predicted to contain sufficient domains for the production of NTE. These results exemplify the capacity of endophytic fungi to produce novel natural products that may have many uses, such as biologically derived fuels and commodity chemicals. PMID:25672844

  9. Microwave-assisted extraction versus Soxhlet extraction for the analysis of short-chain chlorinated alkanes in sediments.

    PubMed

    Parera, J; Santos, F J; Galceran, M T

    2004-08-13

    Microwave-assisted extraction (MAE) was evaluated as a possible alternative to Soxhlet extraction for analysing short-chain chlorinated alkanes (commonly called short-chain chlorinated paraffins, SCCPs) in river sediment samples, using gas chromatography coupled to negative chemical ionisation mass spectrometry. For MAE optimisation, several extraction parameters such as solvent extraction mixture, extraction time and extraction temperature were studied. Maximum extraction efficiencies for SCCPs (90%) and for 12 polychlorinated biphenyl (PCB) congeners (91-95%) were achieved using 5 g of sediment sample, 30 ml of n-hexane-acetone (1:1, v/v) as solvent extraction, and 15 min and 115 degrees C of extraction time and temperature, respectively. Activated Florisil was used to clean-up the extracts, allowing highly selective separation of SCCPs from other organic contaminants such as PCBs. MAE was compared with a conventional extraction technique such as Soxhlet and good agreement in the results was obtained. Quality parameters of the optimised MAE method such as run-to-run (R.S.D. 7%) and day-to-day precision (R.S.D. 9%) were determined using spiked river sediment samples, with LODs of 1.5 ng g(-1). This method was successfully applied to the analysis of SCCPs in river sediment samples at concentrations below the ng g(-1) level. O 2004 Elsevier B.V. All rights reserved.

  10. Neutralization Analysis of a Chicken Single-Chain Variable Fragment Derived from an Immune Antibody Library Against Infectious Bronchitis Virus.

    PubMed

    Lin, Yuan; Li, Benqiang; Ye, Jiaxin; Wang, Man; Wang, Jianhua; Zhang, Ying; Zhu, Jianguo

    2015-09-01

    Avian infectious bronchitis virus (IBV), which is prevalent in many countries causing severe economic loss to the poultry industry, causes infectious bronchitis (IB) in birds. Recombinant single-chain variable fragments (scFvs) have been proven to effectively inhibit many viruses, both in vitro and in vivo, and they could be a potential diagnostic and therapeutic reagent to control IB. In this study, six anti-IBV chicken scFvs, ZL.10, ZL.64, ZL.78, ZL.80, ZL.138, and ZL.256, were obtained by screening random clones from an immune antibody library. An analysis of nucleotide sequences revealed that they represented distinctive genetic sequences and greatly varied in complementarity-determining region three of the heavy chain. Neutralization tests showed that ZL.10, which bound the S1 protein in western blots, inhibited the formation of syncytia in Vero cells 48 h post IBV infection and decreased the transcriptional level of nucleoprotein mRNA to 17.2%, while the other five scFvs, including ZL.78 and ZL.256, that bound the N protein did not. In conclusion, the results suggested that specific and neutralizing chicken scFvs against IBV, which can be safe and economical antibody reagents, can be produced in vitro through prokaryotic expression.

  11. Analysis of Factors that Affect Responding in a Two-Response Chain in Children with Developmental Disabilities

    ERIC Educational Resources Information Center

    Contrucci Kuhn, Stephanie A.; Lerman, Dorothea C.; Vorndran, Christina M.; Addison, Laura

    2006-01-01

    A sequence of behaviors consisting of appropriate responses, inappropriate responses, or a combination of both can be linked together in a behavior chain. Several operant processes may disrupt behavior chains. For example, one or more members of the behavior chain may be affected when reinforcement is withheld for the last response in the chain…

  12. Analysis of Heavy-Chain Antibody Responses and Resistance to Parelaphostrongylus tenuis in Experimentally Infected Alpacas

    PubMed Central

    Purdy, S. R.; Gagliardo, L. F.; Lefman, S.; Hamel, P. J. S.; Ku, S.; Mainini, T.; Hoyt, G.; Justus, K.; Daley-Bauer, L. P.; Duffy, M. S.

    2012-01-01

    The parasitic nematode Parelaphostrongylus tenuis is an important cause of neurologic disease of camelids in central and eastern North America. The aim of this study was to determine whether alpacas develop resistance to disease caused by P. tenuis in response to a previous infection or a combination of controlled infection and immunization. Alpacas were immunized with a homogenate of third-stage larvae (L3) and simultaneously implanted subcutaneously with diffusion chambers containing 20 live L3. Sham-treated animals received adjuvant alone and empty chambers. The protocol was not effective in inducing resistance to oral challenge with 10 L3, and disease developed between 60 and 71 days following infection. Immediately following the onset of neurologic disease, affected animals were treated with a regimen of anthelmintic and anti-inflammatory drugs, and all recovered. One year later, a subset of alpacas from this experiment was challenged with 20 L3 and the results showed that prior infection induced resistance to disease. Primary and secondary infections induced production of conventional and heavy-chain IgGs that reacted with soluble antigens in L3 homogenates but did not consistently recognize a recombinant form of a parasite-derived aspartyl protease inhibitor. Thus, the latter antigen may not be a good candidate for serology-based diagnostic tests. Antibody responses to parasite antigens occurred in the absence of overt disease, demonstrating that P. tenuis infection can be subclinical in a host that has been considered to be highly susceptible to disease. The potential for immunoprophylaxis to be effective in preventing disease caused by P. tenuis was supported by evidence of resistance to reinfection. PMID:22593238

  13. Analysis of cDNA coding MHC class II beta chain of the chimpanzee (Pan troglodytes).

    PubMed

    Hatta, Yuki; Kanai, Tomoko; Matsumoto, Yoshitsugu; Kyuwa, Shigeru; Hayasaka, Ikuo; Yoshikawa, Yasuhiro

    2002-04-01

    The chimpanzee (Pan troglodytes, Patr) is the closest zoological living relative of humans and shares approximately 98.6% genetic homology to human beings. Although major histocompatibility complex (MHC) plays a critical role in T cell-mediated immune responses in vertebrates, the information on Patr MHC remains at a relatively poor level. Therefore, we attempted to isolate Patr MHC class II genes and determine their nucleotide sequences. The cDNAs encoding Patr MHC class II DP, DQ and DR beta chains were isolated from the cDNA library of a chimpanzee B lymphocyte cell line Bch261. As a result of screening, the clone 6-3-1 as a representative of Patr DP clone, clone 30-1 as a Patr DQ clone, and clones 4-7-1 and 55-1 having different sequences as Patr DR clones were detected. The clone 6-3-1 consisted of 1,062 nucleotides including an open reading frame (ORF) of 777 bp. In the same way, clone 30-1 consisted of 1,172 nucleotides including ORF of 786 bp, clones 4-7-1 and 55-1 consisted of 1,163 nucleotides including ORF of 801 bp. Except for five nucleotide changes, clones 4-7-1 and 55-1 were the same sequence. By comparison with the nucleotide sequences already reported on chimpanzee MHC class II beta 1 genes, clones 6-3-1, 30-1, 4-7-1 and 55-1 were classified as PatrDPB1*16, PatrDQB1*0302, PatrDRB1*0201 and PatrDRB1*0204, respectively. This is the first report to describe complete cDNA sequences of Patr DP and DQ molecules. The nucleotide sequence data of Patr MHC class II genes obtained in this study will be useful for the genotyping of Patr MHC class II genes in individual chimpanzees.

  14. Triplex Real-time Polymerase Chain Reaction Optimization for AZF Y-chromosome Microdeletion Analysis.

    PubMed

    Torres, Tatiana Puga; Rojas, Xavier Blum; Narváez, Medardo Blum; Montanero, Edith López; Sarasti, Alexandra Narváez

    2015-05-01

    Y chromosome microdeletions at the "Azoospermia Factor" regions (AZFa, AZFb, AZFc) are the second genetic cause of spermatogenic failure in infertile men. Despite its importance for the treatment of infertile patients, no prior investigations have been previously published in Ecuador. . The purpose of this study is to optimize a molecular technique that allows detection of microdeletions in the AZF region. Using a genomic DNA of healthy male with natural conceived offsprings, a multiplex real time polymerase chain reaction (qPCR) was standarized with eigth sequence-tagged site (STS) sY85, G34990, sY133, sY127, sY254, sY255, and using as internal control sex-determine region Y (SRY) and Ameologenin Y (AMELY). With this technique, 35 DNA samples taken from peripheral blood of patients with severe oligozoospermia were analyzed. A triplex qPCR was standardized using EvaGreen DNA-binding dye to obtain melting temperature (Tm) of the STS previously mentioned. Three of the patients evaluated were detected to have partial microdeletion in the AZFa region, with a frequency of 8.8%; being losses in the G34990 section (one patient) and sY85 section (two patients). No cases of microdeletions in other AZF regions were found. The triplex qPCR optimizated allows the identification of microdeletions in AZFa, AZFb and AZFc region in infertile men and a better clinical management of the patient's treatment decision. This first report for Ecuador reveled a higher prevalence of microdeletions in the AZFa region in comparison with those previously described in other populations.

  15. Unbiased analysis of TCRα/β chains at the single-cell level in human CD8+ T-cell subsets.

    PubMed

    Sun, Xiaoming; Saito, Masumichi; Sato, Yoshinori; Chikata, Takayuki; Naruto, Takuya; Ozawa, Tatsuhiko; Kobayashi, Eiji; Kishi, Hiroyuki; Muraguchi, Atsushi; Takiguchi, Masafumi

    2012-01-01

    T-cell receptor (TCR) α/β chains are expressed on the surface of CD8(+) T-cells and have been implicated in antigen recognition, activation, and proliferation. However, the methods for characterization of human TCRα/β chains have not been well established largely because of the complexity of their structures owing to the extensive genetic rearrangements that they undergo. Here we report the development of an integrated 5'-RACE and multiplex PCR method to amplify the full-length transcripts of TCRα/β at the single-cell level in human CD8(+) subsets, including naive, central memory, early effector memory, late effector memory, and effector phenotypic cells. Using this method, with an approximately 47% and 62% of PCR success rate for TCRα and for TCRβ chains, respectively, we were able to analyze more than 1,000 reads of transcripts of each TCR chain. Our comprehensive analysis revealed the following: (1) chimeric rearrangements of TCRδ-α, (2) control of TCRα/β transcription with multiple transcriptional initiation sites, (3) altered utilization of TCRα/β chains in CD8(+) subsets, and (4) strong association between the clonal size of TCRα/β chains and the effector phenotype of CD8(+) T-cells. Based on these findings, we conclude that our method is a useful tool to identify the dynamics of the TCRα/β repertoire, and provides new insights into the study of human TCRα/β chains.

  16. Phase analysis in single-chain variable fragment production by recombinant Pichia pastoris based on proteomics combined with multivariate statistics.

    PubMed

    Fujiki, Yuya; Kumada, Yoichi; Kishimoto, Michimasa

    2015-08-01

    The proteomics technique, which consists of two-dimensional gel electrophoresis (2-DE), peptide mass fingerprinting (PMF), gel image analysis, and multivariate statistics, was applied to the phase analysis of a fed-batch culture for the production of a single-chain variable fragment (scFv) of an anti-C-reactive protein (CRP) antibody by Pichia pastoris. The time courses of the fed-batch culture were separated into three distinct phases: the growth phase of the batch process, the growth phase of the fed-batch process, and the production phase of the fed-batch process. Multivariate statistical analysis using 2-DE gel image analysis data clearly showed the change in the culture phase and provided information concerning the protein expression, which suggested a metabolic change related to cell growth and production during the fed-batch culture. Furthermore, specific proteins, such as alcohol oxidase, which is strongly related to scFv expression, and proteinase A, which could biodegrade scFv in the latter phases of production, were identified via the PMF method. The proteomics technique provided valuable information about the effect of the methanol concentration on scFv production.

  17. Research on Optimization of Pooling System and Its Application in Drug Supply Chain Based on Big Data Analysis

    PubMed Central

    2017-01-01

    Reform of drug procurement is being extensively implemented and expanded in China, especially in today's big data environment. However, the pattern of supply mode innovation lags behind procurement improvement. Problems in financial strain and supply break frequently occur, which affect the stability of drug supply. Drug Pooling System is proposed and applied in a few pilot cities to resolve these problems. From the perspective of supply chain, this study analyzes the process of setting important parameters and sets out the tasks of involved parties in a pooling system according to the issues identified in the pilot run. The approach is based on big data analysis and simulation using system dynamic theory and modeling of Vensim software to optimize system performance. This study proposes a theoretical framework to resolve problems and attempts to provide a valuable reference for future application of pooling systems. PMID:28293258

  18. Detection of Mycobacterium tuberculosis with nested polymerase chain reaction analysis in enucleated eye ball in Eales' disease.

    PubMed

    Verma, Aditya; Biswas, Jyotirmay; Dhanurekha, L; Gayathri, R; Lily Therese, K

    2016-06-01

    Nested polymerase chain reaction (nPCR) was performed on enucleated eyeball for detection of Mycobacterium tuberculosis (M. tb) genome in a patient with Eales' disease. PCR analysis in all previous studies has been done mainly using aqueous, vitreous and epiretinal membranes from these patients. Paraffin wax embedded tissue section of the enucleated eyeball was analyzed by histopathology and nPCR targeting MPB64 gene and IS6110 region of M. tb genome. Lymphocytic infiltration was seen in the vitreous, iris and the retinal tissue. Ziehl Neelsen stain was negative for acid fast bacilli. Caseation necrosis was not seen in any section. Agarose gel electrophoretogram showed positive results with 200 bp specific amplified product targeting MPB64 gene, whereas nPCR targeting IS6110 region was negative. Since biopsy proven M. tb is extremely difficult in ocular tissues due to extensive necrosis, the nPCR technique aided in the diagnosis.

  19. Research on Optimization of Pooling System and Its Application in Drug Supply Chain Based on Big Data Analysis.

    PubMed

    Wu, DengFeng; Mao, Hongyi

    2017-01-01

    Reform of drug procurement is being extensively implemented and expanded in China, especially in today's big data environment. However, the pattern of supply mode innovation lags behind procurement improvement. Problems in financial strain and supply break frequently occur, which affect the stability of drug supply. Drug Pooling System is proposed and applied in a few pilot cities to resolve these problems. From the perspective of supply chain, this study analyzes the process of setting important parameters and sets out the tasks of involved parties in a pooling system according to the issues identified in the pilot run. The approach is based on big data analysis and simulation using system dynamic theory and modeling of Vensim software to optimize system performance. This study proposes a theoretical framework to resolve problems and attempts to provide a valuable reference for future application of pooling systems.

  20. Epistasis Test in Meta-Analysis: A Multi-Parameter Markov Chain Monte Carlo Model for Consistency of Evidence.

    PubMed

    Lin, Chin; Chu, Chi-Ming; Su, Sui-Lung

    2016-01-01

    Conventional genome-wide association studies (GWAS) have been proven to be a successful strategy for identifying genetic variants associated with complex human traits. However, there is still a large heritability gap between GWAS and transitional family studies. The "missing heritability" has been suggested to be due to lack of studies focused on epistasis, also called gene-gene interactions, because individual trials have often had insufficient sample size. Meta-analysis is a common method for increasing statistical power. However, sufficient detailed information is difficult to obtain. A previous study employed a meta-regression-based method to detect epistasis, but it faced the challenge of inconsistent estimates. Here, we describe a Markov chain Monte Carlo-based method, called "Epistasis Test in Meta-Analysis" (ETMA), which uses genotype summary data to obtain consistent estimates of epistasis effects in meta-analysis. We defined a series of conditions to generate simulation data and tested the power and type I error rates in ETMA, individual data analysis and conventional meta-regression-based method. ETMA not only successfully facilitated consistency of evidence but also yielded acceptable type I error and higher power than conventional meta-regression. We applied ETMA to three real meta-analysis data sets. We found significant gene-gene interactions in the renin-angiotensin system and the polycyclic aromatic hydrocarbon metabolism pathway, with strong supporting evidence. In addition, glutathione S-transferase (GST) mu 1 and theta 1 were confirmed to exert independent effects on cancer. We concluded that the application of ETMA to real meta-analysis data was successful. Finally, we developed an R package, etma, for the detection of epistasis in meta-analysis [etma is available via the Comprehensive R Archive Network (CRAN) at https://cran.r-project.org/web/packages/etma/index.html].

  1. Assessment of parameter uncertainty in hydrological model using a Markov-Chain-Monte-Carlo-based multilevel-factorial-analysis method

    NASA Astrophysics Data System (ADS)

    Zhang, Junlong; Li, Yongping; Huang, Guohe; Chen, Xi; Bao, Anming

    2016-07-01

    Without a realistic assessment of parameter uncertainty, decision makers may encounter difficulties in accurately describing hydrologic processes and assessing relationships between model parameters and watershed characteristics. In this study, a Markov-Chain-Monte-Carlo-based multilevel-factorial-analysis (MCMC-MFA) method is developed, which can not only generate samples of parameters from a well constructed Markov chain and assess parameter uncertainties with straightforward Bayesian inference, but also investigate the individual and interactive effects of multiple parameters on model output through measuring the specific variations of hydrological responses. A case study is conducted for addressing parameter uncertainties in the Kaidu watershed of northwest China. Effects of multiple parameters and their interactions are quantitatively investigated using the MCMC-MFA with a three-level factorial experiment (totally 81 runs). A variance-based sensitivity analysis method is used to validate the results of parameters' effects. Results disclose that (i) soil conservation service runoff curve number for moisture condition II (CN2) and fraction of snow volume corresponding to 50% snow cover (SNO50COV) are the most significant factors to hydrological responses, implying that infiltration-excess overland flow and snow water equivalent represent important water input to the hydrological system of the Kaidu watershed; (ii) saturate hydraulic conductivity (SOL_K) and soil evaporation compensation factor (ESCO) have obvious effects on hydrological responses; this implies that the processes of percolation and evaporation would impact hydrological process in this watershed; (iii) the interactions of ESCO and SNO50COV as well as CN2 and SNO50COV have an obvious effect, implying that snow cover can impact the generation of runoff on land surface and the extraction of soil evaporative demand in lower soil layers. These findings can help enhance the hydrological model

  2. Epistasis Test in Meta-Analysis: A Multi-Parameter Markov Chain Monte Carlo Model for Consistency of Evidence

    PubMed Central

    Lin, Chin; Chu, Chi-Ming; Su, Sui-Lung

    2016-01-01

    Conventional genome-wide association studies (GWAS) have been proven to be a successful strategy for identifying genetic variants associated with complex human traits. However, there is still a large heritability gap between GWAS and transitional family studies. The “missing heritability” has been suggested to be due to lack of studies focused on epistasis, also called gene–gene interactions, because individual trials have often had insufficient sample size. Meta-analysis is a common method for increasing statistical power. However, sufficient detailed information is difficult to obtain. A previous study employed a meta-regression-based method to detect epistasis, but it faced the challenge of inconsistent estimates. Here, we describe a Markov chain Monte Carlo-based method, called “Epistasis Test in Meta-Analysis” (ETMA), which uses genotype summary data to obtain consistent estimates of epistasis effects in meta-analysis. We defined a series of conditions to generate simulation data and tested the power and type I error rates in ETMA, individual data analysis and conventional meta-regression-based method. ETMA not only successfully facilitated consistency of evidence but also yielded acceptable type I error and higher power than conventional meta-regression. We applied ETMA to three real meta-analysis data sets. We found significant gene–gene interactions in the renin–angiotensin system and the polycyclic aromatic hydrocarbon metabolism pathway, with strong supporting evidence. In addition, glutathione S-transferase (GST) mu 1 and theta 1 were confirmed to exert independent effects on cancer. We concluded that the application of ETMA to real meta-analysis data was successful. Finally, we developed an R package, etma, for the detection of epistasis in meta-analysis [etma is available via the Comprehensive R Archive Network (CRAN) at https://cran.r-project.org/web/packages/etma/index.html]. PMID:27045371

  3. Bending Distortion Analysis of a Steel Shaft Manufacturing Chain from Cold Drawing to Grinding

    NASA Astrophysics Data System (ADS)

    Dias, Vinicius Waechter; da Silva Rocha, Alexandre; Zottis, Juliana; Dong, Juan; Epp, Jérémy; Zoch, Hans Werner

    2017-01-01

    Shafts are usually manufactured from bars that are cold drawn, cut machined, induction hardened, straightened, and finally ground. The main distortion is characterized by bending that appears after induction hardening and is corrected by straightening and/or grinding. In this work, the consequence of the variation of manufacturing parameters on the distortion was analyzed for a complete manufacturing route for production of induction hardened shafts made of Grade 1045 steel. A DoE plan was implemented varying the drawing angle, cutting method, induction hardening layer depth, and grinding penetration depth. The distortion was determined by calculating curvature vectors from dimensional analysis by 3D coordinate measurements. Optical microscopy, microhardness testing, residual stress analysis, and FEM process simulation were used to evaluate and understand effects of the main carriers of distortion potential. The drawing process was identified as the most significant influence on the final distortion of the shafts.

  4. Bending Distortion Analysis of a Steel Shaft Manufacturing Chain from Cold Drawing to Grinding

    NASA Astrophysics Data System (ADS)

    Dias, Vinicius Waechter; da Silva Rocha, Alexandre; Zottis, Juliana; Dong, Juan; Epp, Jérémy; Zoch, Hans Werner

    2017-04-01

    Shafts are usually manufactured from bars that are cold drawn, cut machined, induction hardened, straightened, and finally ground. The main distortion is characterized by bending that appears after induction hardening and is corrected by straightening and/or grinding. In this work, the consequence of the variation of manufacturing parameters on the distortion was analyzed for a complete manufacturing route for production of induction hardened shafts made of Grade 1045 steel. A DoE plan was implemented varying the drawing angle, cutting method, induction hardening layer depth, and grinding penetration depth. The distortion was determined by calculating curvature vectors from dimensional analysis by 3D coordinate measurements. Optical microscopy, microhardness testing, residual stress analysis, and FEM process simulation were used to evaluate and understand effects of the main carriers of distortion potential. The drawing process was identified as the most significant influence on the final distortion of the shafts.

  5. Semi-quantitative digital analysis of polymerase chain reaction-electrophoresis gel: Potential applications in low-income veterinary laboratories

    PubMed Central

    Antiabong, John F.; Ngoepe, Mafora G.; Abechi, Adakole S.

    2016-01-01

    Aim: The interpretation of conventional polymerase chain reaction (PCR) assay results is often limited to either positive or negative (non-detectable). The more robust quantitative PCR (qPCR) method is mostly reserved for quantitation studies and not a readily accessible technology in laboratories across developing nations. The aim of this study was to evaluate a semi-quantitative method for conventional PCR amplicons using digital image analysis of electrophoretic gel. The potential applications are also discussed. Materials and Methods: This study describes standard conditions for the digital image analysis of PCR amplicons using the freely available ImageJ software and confirmed using the qPCR assay. Results and Conclusion: Comparison of ImageJ analysis of PCR-electrophoresis gel and qPCR methods showed similar trends in the Fusobacterium necrophorum DNA concentration associated with healthy and periodontal disease infected wallabies (p≤0.03). Based on these empirical data, this study adds descriptive attributes (“more” or “less”) to the interpretation of conventional PCR results. The potential applications in low-income veterinary laboratories are suggested, and guidelines for the adoption of the method are also highlighted. PMID:27733792

  6. Semi-quantitative digital analysis of polymerase chain reaction-electrophoresis gel: Potential applications in low-income veterinary laboratories.

    PubMed

    Antiabong, John F; Ngoepe, Mafora G; Abechi, Adakole S

    2016-09-01

    The interpretation of conventional polymerase chain reaction (PCR) assay results is often limited to either positive or negative (non-detectable). The more robust quantitative PCR (qPCR) method is mostly reserved for quantitation studies and not a readily accessible technology in laboratories across developing nations. The aim of this study was to evaluate a semi-quantitative method for conventional PCR amplicons using digital image analysis of electrophoretic gel. The potential applications are also discussed. This study describes standard conditions for the digital image analysis of PCR amplicons using the freely available ImageJ software and confirmed using the qPCR assay. Comparison of ImageJ analysis of PCR-electrophoresis gel and qPCR methods showed similar trends in the Fusobacterium necrophorum DNA concentration associated with healthy and periodontal disease infected wallabies (p≤0.03). Based on these empirical data, this study adds descriptive attributes ("more" or "less") to the interpretation of conventional PCR results. The potential applications in low-income veterinary laboratories are suggested, and guidelines for the adoption of the method are also highlighted.

  7. Polymerase chain reaction-capillary electrophoresis genetic analysis microdevice with in-line affinity capture sample injection.

    PubMed

    Thaitrong, Numrin; Toriello, Nicholas M; Del Bueno, Nadia; Mathies, Richard A

    2009-02-15

    An integrated polymerase chain reaction (PCR)-capillary electrophoresis (CE) microdevice with an efficient in-line affinity-based injector has been developed for genetic analysis. Double stranded DNA PCR amplicons generated in an integrated 250 nL PCR reactor are captured, purified, and preconcentrated by an oligonucleotide probe immobilized in an in situ polymerized gel matrix followed by thermal release and injection into the CE-separation channel. This in-column injector employs a photopolymerized oligonucleotide-modified acrylamide capture gel to eliminate band broadening and increase the injection efficiency to 100%. The on-chip generated PCR amplicons processed on this microdevice exhibit a 3-5 fold increase in signal intensities and improved resolution compared to our previous T-shaped injector. Multiplex analysis of 191-bp amplicons from Escherichia coli O157 and 256-bp amplicons from E. coli K12 is achieved with a 6-fold increase in resolution. These advances are exploited to successfully detect E. coli O157 in a 500-fold higher background of E. coli K12. This microdevice with in-line affinity capture gel injection provides an improved platform for low-volume, high sensitivity, fully integrated genetic analysis.

  8. Auto-SCT improves survival in systemic light chain amyloidosis: a retrospective analysis with 14-year follow-up.

    PubMed

    Parmar, S; Kongtim, P; Champlin, R; Dinh, Y; Elgharably, Y; Wang, M; Bashir, Q; Shah, J J; Shah, N; Popat, U; Giralt, S A; Orlowski, R Z; Qazilbash, M H

    2014-08-01

    Optimal treatment approach continues to remain a challenge for systemic light chain amyloidosis (AL). So far, Auto-SCT is the only modality associated with long-term survival. However, failure to show survival benefit in randomized study raises questions regarding its efficacy. We present a comparative outcome analysis of Auto-SCT to conventional therapies (CTR) in AL patients treated over a 14-year period at our institution. Out of the 145 AL amyloidosis patients, Auto-SCT was performed in 80 patients with 1-year non-relapse mortality rate of 12.5%. Novel agents were used as part of induction therapy in 56% of transplant recipients vs 46% of CTR patients. Hematological and organ responses were seen in 74.6% and 39% in the Auto-SCT arm vs 53% and 12% in the CTR arm, respectively. The projected 5-year survival for Auto-SCT vs CTR was 63% vs 38%, respectively. Landmark analysis of patients alive at 1-year after diagnosis showed improved 5-year OS of 72% with Auto-SCT vs 65% in the CTR arm. In the multivariate analysis, age <60 years, induction therapy with novel agents, kidney only involvement and Auto-SCT were associated with improved survival. In conclusion, Auto-SCT is associated with long-term survival for patients with AL amyloidosis.

  9. Meta-Analysis of Long-Chain Omega-3 Polyunsaturated Fatty Acids (LCω-3PUFA) and Prostate Cancer

    PubMed Central

    Alexander, Dominik D.; Bassett, Julie K.; Weed, Douglas L.; Barrett, Erin Cernkovich; Watson, Heather; Harris, William

    2015-01-01

    We conducted a systematic review and meta-analysis to estimate the potential association between LCω-3PUFAs and prostate cancer (PC). A comprehensive literature search was performed through 2013 to identify prospective studies that examined dietary intakes of long-chain omega-3 polyunsaturated fatty acids (LCω-3PUFA) or blood biomarkers of LCω-3PUFA status and risk of PC. Random-effects meta-analyses were conducted to generate summary relative risk estimates (SRREs) for LCω-3PUFAs and total PC, and by stage and grade. Subgroup analyses were also conducted for specific fatty acids and other study characteristics. Twelve self-reported dietary intake and 9 biomarker studies from independent study populations were included in the analysis, with 446,243 and 14,897 total participants, respectively. No association between LCω-3PUFAs and total PC was observed (SRRE = 1.00, 95% CI: 0.93–1.09) for the dietary intake studies (high vs. low LCω-3PUFAs category comparison) or for the biomarker studies (SRRE of 1.07, 95% CI: 0.94–1.20). In general, most summary associations for the dietary intake studies were in the inverse direction, whereas the majority of summary associations for the biomarker studies were in the positive direction, but all were weak in magnitude. The results from this meta-analysis do not support an association between LCω-3PUFAs and PC. PMID:25826711

  10. Polymerase chain reaction-restriction fragment length polymorphism analysis: a simple method for species identification in food.

    PubMed

    Meyer, R; Höfelein, C; Lüthy, J; Candrian, U

    1995-01-01

    The polymerase chain reaction (PCR) technique was applied to meat species identification in marinated and heat-treated or fermented products and to the differentiation of closely related species. DNA was isolated from meat samples by using a DNA-binding resin and was subjected to PCR analysis. Primers used were complementary to conserved areas of the vertebrate mitochondrial cytochrome b (cytb) gene and yielded a 359 base-pair (bp) fragment, including a variable 307 bp region. Restriction endonuclease analysis based on sequence data of those fragments was used for differentiation among species. Restriction fragment length polymorphisms (RFLPs) were detected when pig, cattle, wild boar, buffalo, sheep, goat, horse, chicken, and turkey amplicons were cut with AluI, RsaI, TaqI, and HinfI. Analysis of sausages indicates the applicability of this approach to food products containing meat from 3 different species. The PCR-RFLP analytical method detected pork in heated meat mixtures with beef at levels below 1%, and the method was confirmed with porcine- and bovine-specific PCR assays by amplifying fragments of their growth hormone genes. Inter- and intraspecific differences of more than 22 animal species with nearly unknown cytb DNA sequences, including hoofed mammals (ungulates), and poultry were determined with PCR-RFLP typing by using 20 different endonucleases. This typing method allowed the discrimination of game meats, including stag, roe deer, chamois, moose, reindeer, kangaroo, springbok, and other antelopes in marinated and heat-treated products.

  11. Statistical models for the analysis and design of digital polymerase chain (dPCR) experiments

    USGS Publications Warehouse

    Dorazio, Robert; Hunter, Margaret

    2015-01-01

    Statistical methods for the analysis and design of experiments using digital PCR (dPCR) have received only limited attention and have been misused in many instances. To address this issue and to provide a more general approach to the analysis of dPCR data, we describe a class of statistical models for the analysis and design of experiments that require quantification of nucleic acids. These models are mathematically equivalent to generalized linear models of binomial responses that include a complementary, log–log link function and an offset that is dependent on the dPCR partition volume. These models are both versatile and easy to fit using conventional statistical software. Covariates can be used to specify different sources of variation in nucleic acid concentration, and a model’s parameters can be used to quantify the effects of these covariates. For purposes of illustration, we analyzed dPCR data from different types of experiments, including serial dilution, evaluation of copy number variation, and quantification of gene expression. We also showed how these models can be used to help design dPCR experiments, as in selection of sample sizes needed to achieve desired levels of precision in estimates of nucleic acid concentration or to detect differences in concentration among treatments with prescribed levels of statistical power.

  12. Statistical Models for the Analysis and Design of Digital Polymerase Chain Reaction (dPCR) Experiments.

    PubMed

    Dorazio, Robert M; Hunter, Margaret E

    2015-11-03

    Statistical methods for the analysis and design of experiments using digital PCR (dPCR) have received only limited attention and have been misused in many instances. To address this issue and to provide a more general approach to the analysis of dPCR data, we describe a class of statistical models for the analysis and design of experiments that require quantification of nucleic acids. These models are mathematically equivalent to generalized linear models of binomial responses that include a complementary, log-log link function and an offset that is dependent on the dPCR partition volume. These models are both versatile and easy to fit using conventional statistical software. Covariates can be used to specify different sources of variation in nucleic acid concentration, and a model's parameters can be used to quantify the effects of these covariates. For purposes of illustration, we analyzed dPCR data from different types of experiments, including serial dilution, evaluation of copy number variation, and quantification of gene expression. We also showed how these models can be used to help design dPCR experiments, as in selection of sample sizes needed to achieve desired levels of precision in estimates of nucleic acid concentration or to detect differences in concentration among treatments with prescribed levels of statistical power.

  13. Supply Chain Sustainability Analysis of Whole Algae Hydrothermal Liquefaction and Upgrading

    SciTech Connect

    Pegallapati, Ambica Koushik; Dunn, Jennifer B.; Frank, Edward D.; Jones, Sue; Zhu, Yunhua; Snowden-Swan, Lesley; Davis, Ryan; Kinchin, Christopher M.

    2015-04-01

    The Department of Energy's Bioenergy Technology Office (BETO) collaborates with a wide range of institutions towards the development and deployment of biofuels and bioproducts. To facilitate this effort, BETO and its partner national laboratories develop detailed techno-economic assessments (TEA) of biofuel production technologies as part of the development of design cases and state of technology (SOT) analyses. A design case is a TEA that outlines a target case for a particular biofuel pathway. It enables preliminary identification of data gaps and research and development needs and provides goals and targets against which technology progress is assessed. On the other hand, an SOT analysis assesses progress within and across relevant technology areas based on actual experimental results relative to technical targets and cost goals from design cases and includes technical, economic, and environmental criteria as available. (SOT) analyses. A design case is a TEA that outlines a target case for a particular biofuel pathway. It enables preliminary identification of data gaps and research and development needs and provides goals and targets against which technology progress is assessed. On the other hand, an SOT analysis assesses progress within and across relevant technology areas based on actual experimental results relative to technical targets and cost goals from design cases and includes technical, economic, and environmental criteria as available. (SOT) analyses. A design case is a TEA that outlines a target case for a particular biofuel pathway. It enables preliminary identification of data gaps and research and development needs and provides goals and targets against which technology progress is assessed. On the other hand, an SOT analysis assesses progress within and across relevant technology areas based on actual experimental results relative to technical targets and cost goals from design cases and includes technical, economic, and environmental criteria as

  14. Ethanol Distribution, Dispensing, and Use: Analysis of a Portion of the Biomass-to-Biofuels Supply Chain Using System Dynamics

    PubMed Central

    Vimmerstedt, Laura J.; Bush, Brian; Peterson, Steve

    2012-01-01

    The Energy Independence and Security Act of 2007 targets use of 36 billion gallons of biofuels per year by 2022. Achieving this may require substantial changes to current transportation fuel systems for distribution, dispensing, and use in vehicles. The U.S. Department of Energy and the National Renewable Energy Laboratory designed a system dynamics approach to help focus government action by determining what supply chain changes would have the greatest potential to accelerate biofuels deployment. The National Renewable Energy Laboratory developed the Biomass Scenario Model, a system dynamics model which represents the primary system effects and dependencies in the biomass-to-biofuels supply chain. The model provides a framework for developing scenarios and conducting biofuels policy analysis. This paper focuses on the downstream portion of the supply chain–represented in the distribution logistics, dispensing station, and fuel utilization, and vehicle modules of the Biomass Scenario Model. This model initially focused on ethanol, but has since been expanded to include other biofuels. Some portions of this system are represented dynamically with major interactions and feedbacks, especially those related to a dispensing station owner’s decision whether to offer ethanol fuel and a consumer’s choice whether to purchase that fuel. Other portions of the system are modeled with little or no dynamics; the vehicle choices of consumers are represented as discrete scenarios. This paper explores conditions needed to sustain an ethanol fuel market and identifies implications of these findings for program and policy goals. A large, economically sustainable ethanol fuel market (or other biofuel market) requires low end-user fuel price relative to gasoline and sufficient producer payment, which are difficult to achieve simultaneously. Other requirements (different for ethanol vs. other biofuel markets) include the need for infrastructure for distribution and dispensing and

  15. Clinical usefulness of serum free light chains measurement in patients with multiple myeloma: comparative analysis of two different tests.

    PubMed

    Kubicki, Tadeusz; Dytfeld, Dominik; Baszczuk, Aleksandra; Wysocka, Ewa; Komarnicki, Mieczysław; Lewandowski, Krzysztof

    2017-01-04

    There are two commercially available tests for measurement of serum free light chains (sFLC) in multiple myeloma (MM) patients - Freelite and N Latex FLC. The aim of this study was to perform an assessment and direct comparison of the usefulness of the methods in routine clinical practice. 40 refractory/relapsed MM patients underwent routine disease activity assessment studies, along with sFLC analysis using both assays. Correlation and concordance between the tests and sensitivity of studied methods of sFLC assessment were established. Special attention was focused on sFLC results in patients finally evaluated after completing the treatment. A weak correlation for the measurement of both κ [Passing-Bablok slope (PB) = 0.7681] and λ chains [(PB) = 1.542] was found. Using Bland-Altman plots, a bias of 0.0467 (κ) and -0.2133 (λ) between the measurements was documented. The concordance coefficient equaled 0.87 for κ, 0.62 for λ and 0.52 for κ/λ ratio. Ten patients had an abnormal Freelite assay κ/λ ratio and normal N Latex FLC κ/λ ratio. Three of these patients had negative serum protein electrophoresis results and fulfilled diagnostic criteria of stringent complete remission (sCR) according to N Latex FLC (but not according to Freelite). When the κ/λ ratio obtained by both methods was compared to patients' serum/urine protein electrophoresis and immunofixation results, sensitivity of Freelite and N Latex FLC was established to be 62.5% and 41%, respectively. There was no strong correlation or concordance between the two assays, and the sensitivity in terms of sFLC detection was different. This may cause problems when diagnosis of sCR is considered.

  16. [Study of human immunodeficiency virus transmission chains in Andalusia: analysis from baseline antiretroviral resistance sequences].

    PubMed

    Pérez-Parra, Santiago; Chueca-Porcuna, Natalia; Álvarez-Estevez, Marta; Pasquau, Juan; Omar, Mohamed; Collado, Antonio; Vinuesa, David; Lozano, Ana Belen; García-García, Federico

    2015-11-01

    Protease and reverse transcriptase HIV-1 sequences provide useful information for patient clinical management, as well as information on resistance to antiretrovirals. The aim of this study is to evaluate transmission events, transmitted drug resistance, and to georeference subtypes among newly diagnosed patients referred to our center. A study was conducted on 693 patients diagnosed between 2005 and 2012 in Southern Spain. Protease and reverse transcriptase sequences were obtained for resistance to cART analysis with Trugene(®) HIV Genotyping Kit (Siemens, NAD). MEGA 5.2, Neighbor-Joining, ArcGIS and REGA were used for subsequent analysis. The results showed 298 patients clustered into 77 different transmission events. Most of the clusters were formed by pairs (n=49), of men having sex with men (n=26), Spanish (n=37), and below 45 years of age (73.5%). Urban areas from Granada, and the coastal areas of Almeria and Granada showed the greatest subtype heterogeneity. Five clusters were formed by more than 10 patients, and 15 clusters had transmitted drug resistance. The study data demonstrate how the phylogenetic characterization of transmission clusters is a powerful tool to monitor the spread of HIV, and may contribute to design correct preventive measures to minimize it. Copyright © 2015 Elsevier España, S.L.U. y Sociedad Española de Enfermedades Infecciosas y Microbiología Clínica. All rights reserved.

  17. Chain Confinement in Electrospun Nanocomposites: using Thermal Analysis to Investigate Polymer-Filler Interactions

    SciTech Connect

    Q Ma; B Mao; P Cebe

    2011-12-31

    We investigate the interaction of the polymer matrix and filler in electrospun nanofibers using advanced thermal analysis methods. In particular, we study the ability of silicon dioxide nanoparticles to affect the phase structure of poly(ethylene terephthalate), PET. SiO{sub 2} nanoparticles (either unmodified or modified with silane) ranging from 0 to 2.0 wt% in PET were electrospun from hexafluoro-2-propanol solutions. The morphologies of both the electrospun (ES) nanofibers and the SiO{sub 2} powders were observed by scanning and transmission electron microscopy, while the amorphous or crystalline nature of the fibers was determined by real-time wide-angle X-ray scattering. The fractions of the crystal, mobile amorphous, and rigid amorphous phases of the non-woven, nanofibrous composite mats were quantified by using heat capacity measurements. The amount of the immobilized polymer layer, the rigid amorphous fraction, was obtained from the specific reversing heat capacity for both as-spun amorphous fibers and isothermally crystallized fibers. Existence of the rigid amorphous phase in the absence of crystallinity was verified in nanocomposite fibers, and two origins for confinement of the rigid amorphous fraction are proposed. Thermal analysis of electrospun fibers, including quasi-isothermal methods, provides new insights to quantitatively characterize the polymer matrix phase structure and thermal transitions, such as devitrification of the rigid amorphous fraction.

  18. 'Fingerprinting' of HLA-DQA by polymerase chain reaction and heteroduplex analysis.

    PubMed

    Martinelli, G; Trabetti, E; Farabegoli, P; Buzzi, M; Zaccaria, A; Testoni, N; Amabile, M; Casartelli, A; de Vivo, A; Pignatti, P F; Tura, S

    1996-04-01

    We have developed a rapid, non-radioisotopic PCR fingerprinting technique for analysis of the HLA-Class II DQA gene second exon polymorphism, and have applied it to DNA samples from 210 healthy individuals. The technique is based on the formation of specific patterns (fingerprints) of homoduplexes or heteroduplexes between in vitro amplified DNA sequences. After electrophoresis on non-denaturing polyacrylamide gels and ethidium bromide fluorescence or silver staining, different HLA-DQA types give allele-specific banding patterns. HLA DQA typing is done by visual comparison between the sample's fingerprint patterns and appropriate controls. Similar fingerprints can be resolved by mixing the sample with a standard DNA in an amplified 'DNA crossmatch'. This application of PCR fingerprinting is useful to confirm the HLA-DQA serological typing and to improve the molecular characterization of this polymorphic region.

  19. Supply Chain Sustainability Analysis of Fast Pyrolysis and Hydrotreating Bio-Oil to Produce Hydrocarbon Fuels

    SciTech Connect

    Adom, Felix K.; Cai, Hao; Dunn, Jennifer B.; Hartley, Damon; Searcy, Erin; Tan, Eric; Jones, Sue; Snowden-Swan, Lesley

    2016-03-01

    The Department of Energy’s (DOE) Bioenergy Technology Office (BETO) aims at developing and deploying technologies to transform renewable biomass resources into commercially viable, high-performance biofuels, bioproducts and biopower through public and private partnerships (DOE, 2015). BETO and its national laboratory teams conduct in-depth techno-economic assessments (TEA) of technologies to produce biofuels. These assessments evaluate feedstock production, logistics of transporting the feedstock, and conversion of the feedstock to biofuel. There are two general types of TEAs. A design case is a TEA that outlines a target case for a particular biofuel pathway. It enables identification of data gaps and research and development needs, and provides goals and targets against which technology progress is assessed. On the other hand, a state of technology (SOT) analysis assesses progress within and across relevant technology areas based on actual experimental results relative to technical targets and cost goals from design cases, and includes technical, economic, and environmental criteria as available.

  20. Value Chains of Public and Private Health-care Services in a Small EU Island State: A SWOT Analysis.

    PubMed

    Buttigieg, Sandra C; Schuetz, Marcus; Bezzina, Frank

    2016-01-01

    The global financial and macroeconomic crisis of 2008/2009 and the ensuing recessions obliged policy makers to maximize use of resources and cut down on waste. Specifically, in health care, governments started to explore ways of establishing collaborations between the public and private health-care sectors. This is essential so as to ensure the best use of available resources, while securing quality of delivery of care as well as health systems sustainability and resilience. This qualitative study explores complementary and mutual attributes in the value creation process to patients by the public and private health-care systems in Malta, a small European Union island state. A workshop was conducted with 28 professionals from both sectors to generate two separate value chains, and this was followed by an analysis of strengths, weaknesses, opportunities, and threats (SWOT). The latter revealed several strengths and opportunities, which can better equip health-policy makers in the quest to maximize provision of health-care services. Moreover, the analysis also highlighted areas of weaknesses in both sectors as well as current threats of the external environment that, unless addressed, may threaten the state's health-care system sustainability and resilience to macroeconomic shocks. The study goes on to provide feasible recommendations aimed at maximizing provision of health-care services in Malta.

  1. Value Chains of Public and Private Health-care Services in a Small EU Island State: A SWOT Analysis

    PubMed Central

    Buttigieg, Sandra C.; Schuetz, Marcus; Bezzina, Frank

    2016-01-01

    The global financial and macroeconomic crisis of 2008/2009 and the ensuing recessions obliged policy makers to maximize use of resources and cut down on waste. Specifically, in health care, governments started to explore ways of establishing collaborations between the public and private health-care sectors. This is essential so as to ensure the best use of available resources, while securing quality of delivery of care as well as health systems sustainability and resilience. This qualitative study explores complementary and mutual attributes in the value creation process to patients by the public and private health-care systems in Malta, a small European Union island state. A workshop was conducted with 28 professionals from both sectors to generate two separate value chains, and this was followed by an analysis of strengths, weaknesses, opportunities, and threats (SWOT). The latter revealed several strengths and opportunities, which can better equip health-policy makers in the quest to maximize provision of health-care services. Moreover, the analysis also highlighted areas of weaknesses in both sectors as well as current threats of the external environment that, unless addressed, may threaten the state’s health-care system sustainability and resilience to macroeconomic shocks. The study goes on to provide feasible recommendations aimed at maximizing provision of health-care services in Malta. PMID:27683658

  2. Conformational analysis of short polar side-chain amino-acids through umbrella sampling and DFT calculations.

    PubMed

    Ramos, Javier; Cruz, Victor L

    2016-11-01

    Molecular and quantum mechanics calculations were carried out in a series of tripeptides (GXG, where X = D, N and C) as models of the unfolded states of proteins. The selected central amino acids, especially aspartic acid (D) and asparagine (N) are known to present significant average conformations in partially allowed areas of the Ramachandran plot, which have been suggested to be important in unfolded protein regions. In this report, we present the calculation of the propensity values through an umbrella sampling procedure in combination with the calculation of the NMR J-coupling constants obtained by a DFT model. The experimental NMR observations can be reasonably explained in terms of a conformational distribution where PPII and β basins sum up propensities above 0.9. The conformational analysis of the side chain dihedral angle (χ1), along with the computation of (3)J(H(α)H(β)), revealed a preference for the g - and g + rotamers. These may be connected with the presence of intermolecular H-bonding and carbonyl-carbonyl interactions sampled in the PPII and β basins. Taking into account all those results, it can be established that these residues show a similar behavior to other amino acids in short peptides regarding backbone φ,ψ dihedral angle distribution, in agreement with some experimental analysis of capped dipeptides.

  3. Primer-introduced restriction analysis polymerase chain reaction method for non-invasive prenatal testing of β-thalassemia.

    PubMed

    Liu, Saijun; Chen, Liyuan; Zhang, Xiandong; Li, Jian; Lin, Haiying; Liu, Louhui; Xie, Jiansheng; Ge, Huijuan; Ye, Minglan; Chen, Caifen; Ji, Xingwen; Zhang, Caifen; Xu, Fengping; Jiang, Hui; Zhen, Hefu; Chen, Shiping; Wang, Wei

    2015-01-01

    We have developed a new method for non-invasive prenatal testing (NIPT) of paternally inherited fetal mutants for β-thalassemia (β-thal). Specially designed primer-introduced restriction analysis-polymerase chain reaction (PIRA-PCR) were used to detect four major mutations [IVS-II-654, HBB: c.316-197C > T; codon 17 (A > T), HBB: c.52A > T; -28 (A > G), HBB: c.-78A > G and codons 41/42 (-TTCT), HBB: c.126_129delCTTT] causing β-thal in China. The PIRA-PCR assay was first tested in a series of mixed DNA with different concentrations and mixed proportions. Subsequently, this assay was further tested in 10 plasma DNA samples collected from pregnant women. In the DNA mixture simulation test, the PIRA-PCR assay was able to detect 3.0% target genomic DNA (gDNA) mixed in 97.0% wild-type gDNA isolated from whole blood. For plasma DNA testing, the results detected by PIRA-PCR assay achieved 100.0% consistency with those obtained from the amniocentesis analysis. This new method could potentially be used for NIPT of paternally inherited fetal mutants for β-thal.

  4. Quantitative analysis of gene expression by reverse transcription polymerase chain reaction and capillary electrophoresis with laser-induced fluorescence detection.

    PubMed

    Richards, Mark P; Poch, Stephen M

    2002-05-01

    There has been a dramatic expansion of DNA sequence information compiled over the past several years for a variety of eukaryotic and prokaryotic genomes. Accompanying this increase in knowledge of genomic structure and organization has been a growing interest in studying the function of individual genes including regulation of their expression. A number of methods such as Northern blotting, ribonuclease protection assay, and hybridization arrays have been developed to analyze gene expression at the transcriptional (mRNA) level. Although quantitative estimates of mRNA transcripts can be obtained from each of these methods, oftentimes they lack sufficient sensitivity or the methodology is too costly or too labor-intensive to be applied to the analysis of a large number of samples. The most sensitive method for analyzing gene expression at the mRNA level involves the combination of reverse transcription and polymerase chain reaction (RT-PCR). However, in order to provide accurate quantitative estimates of gene expression, a rapid and efficient method is required for separation and detection of the double-stranded DNA (dsDNA) products of RT-PCR. Recent advances in capillary electrophoresis with laser-induced fluorescence detection (CE/LIF) have made this method suitable for the automated analysis of large numbers of RT-PCR samples. An overview of the application of CE/LIF to quantitative analysis of gene expression by RT-PCR is presented along with selected protocols and examples. Both relative-quantitative (RQ) and quantitative-competitive (QC) approaches to RT-PCR are discussed in conjunction with the use of CE/LIF for rapid and accurate quantitative analysis of PCR products.

  5. Computational analysis of chain flexibility and fluctuations in Rhizomucor miehei lipase.

    PubMed

    Peters, G H; Bywater, R P

    1999-09-01

    We have performed molecular dynamics simulation of Rhizomucor miehei lipase (Rml) with explicit water molecules present. The simulation was carried out in periodic boundary conditions and conducted for 1. 2 ns in order to determine the concerted protein dynamics and to examine how well the essential motions are preserved along the trajectory. Protein motions are extracted by means of the essential dynamics analysis method for different lengths of the trajectory. Motions described by eigenvector 1 converge after approximately 200 ps and only small changes are observed with increasing simulation time. Protein dynamics along eigenvectors with larger indices, however, change with simulation time and generally, with increasing eigenvector index, longer simulation times are required for observing similar protein motions (along a particular eigenvector). Several regions in the protein show relatively large fluctuations and in particular motions in the active site lid and the segments Thr57-Asn63 and the active site hinge region Pro101-Gly104 are seen along several eigenvectors. These motions are generally associated with glycine residues, while no direct correlations are observed between these fluctuations and the positioning of prolines in the protein structure. The partial opening/closing of the lid is an example of induced fit mechanisms seen in other enzymes and could be a general mechanism for the activation of Rml.

  6. Costing analysis and anthropological assessment of the vaccine supply chain system redesign in the Comé District (Benin).

    PubMed

    Huang, Xiao Xian; Guillermet, Elise; Le Gargasson, Jean-Bernard; Alfa, Daleb Abdoulaye; Gbodja, Romule; Sossou, Adanmavokin Justin; Jaillard, Phillippe

    2017-04-19

    At the end of 2013, a pilot experiment was carried out in Comé health zone (HZ) in an attempt to optimize the vaccine supply chain. Four commune vaccine storage facilities were replaced by one central HZ facility. This study evaluated the incremental financial needs for the establishment of the new system; compared the economic cost of the supply chain in the Comé HZ before and after the system redesign; and analyzed the changes induced by the pilot project in immunization logistics management. The purposive sampling method was used to draw a sample from 37 health facilities in the zone for costing evaluation. Data on inputs and prices were collected retrospectively for 2013 and 2014. The analysis used an ingredient-based approach. In addition, 44 semi-structured interviews with health workers for anthropological analysis were completed in 2014. The incremental financial costs amounted to US$55,148, including US$50,605 for upfront capital investment and US$4543 for ongoing recurrent costs. Annual economic cost per dose administered (including all vaccines distributed through the Expanded Program on Immunization (EPI)) in the Comé HZ increased from US$0.09 before system redesign to US$0.15 after implementation, mainly due to a high initial investment and the operational cost of HZ mobile warehouse. Interviews with health workers suggested that the redesigned system was associated with improvements in motivation and professional awareness due to training, supportive supervision, and improved work conditions. The system redesign involved a considerable investment at HZ level. Benefits were found in the reduction of transportation costs to health posts (HP) and commune health center (CHC) levels, and the strengthening of health workers professional skills at all levels in Comé. The redesigned system contributed to a decrease in funding needs at HP and CHC levels. The benefits of the investment need to be examined after the introduction of new vaccines and after a

  7. Value-Chain Dynamics of the West Point Foundry, 1817-1911: A Historical Case Analysis in Marketing

    ERIC Educational Resources Information Center

    Petkus, Ed, Jr.

    2013-01-01

    This case provides the opportunity for students to explore marketing and value/supply-chain dynamics in a unique historical context. The West Point Foundry (WPF), located in Cold Spring, New York, was one of the most important manufacturing ventures in the United States from 1817 to 1911. The case outlines the supply-chain details of the WPF as…

  8. Value-Chain Dynamics of the West Point Foundry, 1817-1911: A Historical Case Analysis in Marketing

    ERIC Educational Resources Information Center

    Petkus, Ed, Jr.

    2013-01-01

    This case provides the opportunity for students to explore marketing and value/supply-chain dynamics in a unique historical context. The West Point Foundry (WPF), located in Cold Spring, New York, was one of the most important manufacturing ventures in the United States from 1817 to 1911. The case outlines the supply-chain details of the WPF as…

  9. Unsupervised DInSAR processing chain for multi-scale displacement analysis

    NASA Astrophysics Data System (ADS)

    Casu, Francesco; Manunta, Michele

    2016-04-01

    , thus leading to the generation of Interferometric products for both global and local scale displacement analysis. Among several examples, we will show a wide displacement SBAS processing, carried out over the southern California, during which the whole ascending ENVISAT data set of more than 740 images has been fully processed on a Cloud Computing environment in less than 9 hours, leading to the generation of a displacement map of about 150,000 square kilometres. The P-SBAS characteristics allowed also us to integrate the algorithm within the ESA Geohazard Exploitation Platform (GEP), which is based on the use of GRID and Cloud Computing facilities, thus making freely available to the EO community a web tool for massive and systematic interferometric displacement time series generation. This work has been partially supported by: the Italian MIUR under the RITMARE project; the CNR-DPC agreement and the ESA GEP project.

  10. Topological analysis of polymeric melts: Chain-length effects and fast-converging estimators for entanglement length

    NASA Astrophysics Data System (ADS)

    Hoy, Robert S.; Foteinopoulou, Katerina; Kröger, Martin

    2009-09-01

    Primitive path analyses of entanglements are performed over a wide range of chain lengths for both bead spring and atomistic polyethylene polymer melts. Estimators for the entanglement length Ne which operate on results for a single chain length N are shown to produce systematic O(1/N) errors. The mathematical roots of these errors are identified as (a) treating chain ends as entanglements and (b) neglecting non-Gaussian corrections to chain and primitive path dimensions. The prefactors for the O(1/N) errors may be large; in general their magnitude depends both on the polymer model and the method used to obtain primitive paths. We propose, derive, and test new estimators which eliminate these systematic errors using information obtainable from the variation in entanglement characteristics with chain length. The new estimators produce accurate results for Ne from marginally entangled systems. Formulas based on direct enumeration of entanglements appear to converge faster and are simpler to apply.

  11. First passage time Markov chain analysis of rare events for kinetic Monte Carlo: double kink nucleation during dislocation glide

    NASA Astrophysics Data System (ADS)

    Deo, C. S.; Srolovitz, D. J.

    2002-09-01

    We describe a first passage time Markov chain analysis of rare events in kinetic Monte Carlo (kMC) simulations and demonstrate how this analysis may be used to enhance kMC simulations of dislocation glide. Dislocation glide is described by the kink mechanism, which involves double kink nucleation, kink migration and kink-kink annihilation. Double kinks that nucleate on straight dislocations are unstable at small kink separations and tend to recombine immediately following nucleation. A very small fraction (<0.001) of nucleating double kinks survive to grow to a stable kink separation. The present approach replaces all of the events that lead up to the formation of a stable kink with a simple numerical calculation of the time required for stable kink formation. In this paper, we treat the double kink nucleation process as a temporally homogeneous birth-death Markov process and present a first passage time analysis of the Markov process in order to calculate the nucleation rate of a double kink with a stable kink separation. We discuss two methods to calculate the first passage time; one computes the distribution and the average of the first passage time, while the other uses a recursive relation to calculate the average first passage time. The average first passage times calculated by both approaches are shown to be in excellent agreement with direct Monte Carlo simulations for four idealized cases of double kink nucleation. Finally, we apply this approach to double kink nucleation on a screw dislocation in molybdenum and obtain the rates for formation of stable double kinks as a function of applied stress and temperature. Equivalent kMC simulations are too inefficient to be performed using commonly available computational resources.

  12. Neurofilament light chain level in cerebrospinal fluid can differentiate Parkinson's disease from atypical parkinsonism: Evidence from a meta-analysis.

    PubMed

    Sako, Wataru; Murakami, Nagahisa; Izumi, Yuishin; Kaji, Ryuji

    2015-05-15

    A reliable test that facilitates the accurate diagnosis of Parkinson's and disorders will help with both, clinical management and therapeutic research. In this context, neurofilament light chain (NFL) is candidate for a biomarker in cerebrospinal fluid (CSF). A comprehensive literature search yielded 4 eligible studies. We expressed between-group difference of NFL concentration in CSF as the standardized mean difference. Four studies involved 166 Parkinson's disease (PD), 116 multiple system atrophy (MSA) and 73 progressive supranuclear palsy (PSP) patients. Patients with MSA showed higher concentration of NFL concentration in CSF than those with PD (standardized mean difference=1.60, P<0.0001). These studies were homogeneous (P=0.17). NFL in CSF in PSP was significantly elevated relative to PD with homogeneous studies (standardized mean difference=2.04, P<0.0001; P=0.99). The present meta-analysis suggested that NFL concentration in CSF in MSA and PSP was significantly increased relative to PD, and that this could help us to separate PD from atypical parkinsonian syndromes.

  13. Collaborative ring trial of the papaya endogenous reference gene and its polymerase chain reaction assays for genetically modified organism analysis.

    PubMed

    Wei, Jiaojun; Li, Feiwu; Guo, Jinchao; Li, Xiang; Xu, Junfeng; Wu, Gang; Zhang, Dabing; Yang, Litao

    2013-11-27

    The papaya (Carica papaya L.) Chymopapain (CHY) gene has been reported as a suitable endogenous reference gene for genetically modified (GM) papaya detection in previous studies. Herein, we further validated the use of the CHY gene and its qualitative and quantitative polymerase chain reaction (PCR) assays through an interlaboratory collaborative ring trial. A total of 12 laboratories working on detection of genetically modified organisms participated in the ring trial and returned test results. Statistical analysis of the returned results confirmed the species specificity, low heterogeneity, and single-copy number of the CHY gene among different papaya varieties. The limit of detection of the CHY qualitative PCR assay was 0.1%, while the limit of quantification of the quantitative PCR assay was ∼25 copies of haploid papaya genome with acceptable PCR efficiency and linearity. The differences between the tested and true values of papaya content in 10 blind samples ranged from 0.84 to 6.58%. These results indicated that the CHY gene was suitable as an endogenous reference gene for the identification and quantification of GM papaya.

  14. [The rapid specific characterization of clinical isolates of the genus Mycobacterium by the polymerase chain reaction and restriction enzyme analysis].

    PubMed

    Cuende, J I; Jaime, M L; Gómez, M T; Del Campo, F; Alba, A; Pérez de Diego, I J

    1995-02-18

    Typing at species level of Mycobacterium is usually performed by microbiological and biochemical methods that require a long time and/or sufficient amount of bacteria. Molecular biology can avoid these problems using different techniques. A colony growth of the following mycobacteria has been analyzed: M. tuberculosis, M. kansasii, M. avium, M. intracellulare, M. gordonae, M. phlei, M. aurum, M. fortuitum, M. flavescens, M. marinum, M. xenopi, M. nonchromogenicum, M. terrae and M. chelonei. Strains were grown in Löwenstein-Jensen medium. DNA was obtained by proteolytic digestion and fenol extraction. The 16S rRNA gen was amplified by polymerase chain reaction (PCR) and the amplification was digested by HaeIII, HpaII, RsaI and AluI restriction enzymes. Restriction fragment patterns were analyzed by agarose gel electrophoresis and UV transillumination. The combination of the patterns obtained with HpaII and RsaI was sufficient to generate 13 different combined ones. The patterns of M. intracellulare and M. avium were the same. PCR and restriction enzyme analysis is an useful method for typing at species level of clinical isolates of mycobacteria.

  15. Rapid detection of HLA-B*51 by real-time polymerase chain reaction and high-resolution melting analysis.

    PubMed

    Imperiali, C; Alía-Ramos, P; Padró-Miquel, A

    2015-08-01

    HLA-B*51, a class I human leukocyte antigen (HLA) molecule, is the strongest known genetic risk factor for Behçet disease. However, there are only few articles reporting methods to determine the presence or absence of HLA-B51. For this reason, we designed and developed an easy, fast, and inexpensive real-time high-resolution melting (HRM) assay to detect HLA-B*51. We genotyped 61 samples by our HRM assay and by conventional polymerase chain reaction, and no discrepancies were found between results. Besides, a subgroup of 25 samples was also genotyped in a different laboratory, and another subgroup of 16 samples was obtained from the International Histocompatibility Working Group DNA Bank, and a full concordance of results was observed with those obtained by HRM. Regarding the identifying system evaluated, we obtained 100% of specificity, sensibility, and repeatability, and 0% of false positive and false negative rates. Therefore, this HRM analysis is easily applicable to the rapid detection of HLA-B*51, exhibits a high speed, and requires a very low budget.

  16. AL-Base: a visual platform analysis tool for the study of amyloidogenic immunoglobulin light chain sequences

    PubMed Central

    Bodi, Kip; Prokaeva, Tatiana; Spencer, Brian; Eberhard, Maurya; Connors, Lawreen H.; Seldin, David C.

    2014-01-01

    AL-Base, a curated database of human immunoglobulin (Ig) light chain (LC) sequences derived from patients with AL amyloidosis and controls, is described, along with a collection of analytical and graphic tools designed to facilitate their analysis. AL-Base is designed to compile and analyse amyloidogenic Ig LC sequences and to compare their predicted protein sequence and structure to non-amyloidogenic LC sequences. Currently, the database contains over 3000 de-identified LC nucleotide and amino acid sequences, of which 433 encode monoclonal proteins that were reported to form fibrillar deposits in AL patients. Each sequence is categorised according to germline gene usage, clinical status and sample source. Currently, tools are available to search for sequences by various criteria, to analyse the biochemical properties of the predicted amino acids at each position and to display the results in a graphical fashion. The likelihood that each sequence has evolved through somatic hypermutation can be predicted using an automated binomial or multinomial distribution model. AL-Base is available to the scientific community for research purposes. PMID:19291508

  17. Application of Markov chain Monte Carlo analysis to biomathematical modeling of respirable dust in US and UK coal miners.

    PubMed

    Sweeney, Lisa M; Parker, Ann; Haber, Lynne T; Tran, C Lang; Kuempel, Eileen D

    2013-06-01

    A biomathematical model was previously developed to describe the long-term clearance and retention of particles in the lungs of coal miners. The model structure was evaluated and parameters were estimated in two data sets, one from the United States and one from the United Kingdom. The three-compartment model structure consists of deposition of inhaled particles in the alveolar region, competing processes of either clearance from the alveolar region or translocation to the lung interstitial region, and very slow, irreversible sequestration of interstitialized material in the lung-associated lymph nodes. Point estimates of model parameter values were estimated separately for the two data sets. In the current effort, Bayesian population analysis using Markov chain Monte Carlo simulation was used to recalibrate the model while improving assessments of parameter variability and uncertainty. When model parameters were calibrated simultaneously to the two data sets, agreement between the derived parameters for the two groups was very good, and the central tendency values were similar to those derived from the deterministic approach. These findings are relevant to the proposed update of the ICRP human respiratory tract model with revisions to the alveolar-interstitial region based on this long-term particle clearance and retention model.

  18. Differential diagnosis of Goatpox virus in Taiwan by multiplex polymerase chain reaction assay and high-resolution melt analysis.

    PubMed

    Chan, Kun-Wei; Lee, Ming-Liang; Yang, Wei-Cheng; Wong, Min-Liang; Hsu, Wei-Li; Ho, Chia-Fang; Hsieh, Yao-Ching; Wang, Chi-Young

    2014-03-01

    The A32L gene from a Goatpox virus (GTPV) strain isolated from a goat in Yunlin County (Taiwan) displays several substitutions compared with the sequence of the Kenyan GTPV vaccine strain SGP0240 and the Pellor GTPV strain. Samples from the skin lesions on 6 goats with GTPV infection or from goats with Orf virus (ORFV) infection were tested in a multiplex polymerase chain reaction (PCR) system that used primers GPF, GPR1, and GPR2 as well as previously published primers specific for ORFV. These primers were able to amplify either GTPV or ORFV without cross-reactivity. A high-resolution melt analysis (HRMA) was carried out on amplified DNA from the skin lesions of 6 goats with GTPV infection and with the GTPV SGP0240 strain. The results indicated that the melting temperature profiles amplified from samples with Yunlin GTPV infection can be differentiated from the GTPV SGP0240 strain. The findings showed that a successful differential assay for these GTPVs had been developed. Accordingly, both methods can be used to detect and differentiate GTPV isolated from animals that may have either been vaccinated or been infected with a wild strain. The multiplex PCR and HRMA could be used on skin samples of suspected cases to serve as the front-line and confirmative assays, respectively, which will be beneficial to the eradication of GTPV.

  19. Functional analysis of slow myosin heavy chain 1 and myomesin-3 in sarcomere organization in zebrafish embryonic slow muscles

    PubMed Central

    Xu, Jin; Gao, Jie; Li, Junling; Xue, Liangyi; Clark, Karl J.; Ekker, Stephen C.; Du, Shao Jun

    2014-01-01

    Myofibrillogenesis, the process of sarcomere formation, requires close interactions of sarcomeric proteins and various components of sarcomere structures. The myosin thick filaments and M-lines are two key components of the sarcomere. It has been suggested that myomesin proteins of M-lines interact with myosin and titin proteins and keep the thick and titin filaments in order. However, the function of myomesin in myofibrillogenesis and sarcomere organization remained largely enigmatic. No knockout or knockdown animal models have been reported to elucidate the role of myomesin in sarcomere organization in vivo. In this study, by using the gene-specific knockdown approach in zebrafish embryos, we carried out a loss-of-function analysis of myomesin-3 and slow myosin heavy chain 1 (smyhc1) expressed specifically in slow muscles. We demonstrated that knockdown of smyhc1 abolished the sarcomeric localization of myomesin-3 in slow muscles. In contrast, loss of myomesin-3 had no effect on the sarcomeric organization of thick and thin filaments as well as M- and Z-line structures. Together, these studies indicate that myosin thick filaments are required for M-line organization and M-line localization of myomesin-3. In contrast, myomesin-3 is dispensable for sarcomere organization in slow muscles. PMID:22361506

  20. Detection and differentiation of filarial parasites by universal primers and polymerase chain reaction-restriction fragment length polymorphism analysis.

    PubMed

    Nuchprayoon, Surang; Junpee, Alisa; Poovorawan, Yong; Scott, Alan L

    2005-11-01

    Filarial nematode parasites are a serious cause of morbidity in humans and animals. Identification of filarial infection using traditional morphologic criteria can be difficult and lead to misdiagnosis. We report on a polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP)-based method to detect and differentiate a broad range of filarial species in a single PCR. The first internal transcribed spacer 1 (ITS1) along with the flanking 18S and 5.8S ribosomal DNA (rDNA) were isolated and cloned from Wuchereria bancrofti, Brugia malayi, and Brugia pahangi. Sequence analysis identified conserved sites in the 18S and 5.8S rDNA sequence that could be used as universal priming sites to generate ITS1-distinctive PCR products that were useful for distinguishing filariae at the genus level. The addition of a digestion of the ITS1 PCR product with the restriction endonuclease Ase I generated a fragment profile that allowed differentiation down to the species level for W. bancrofti, B. malayi, B. pahangi, Dirofilaria immitis, and D. repens. The PCR-RFLP of ITS1 rDNA will be useful in diagnosing and differentiating filarial parasites in human, animal reservoir hosts, and mosquito vectors in disease-endemic areas.

  1. Evaluating environmental impacts of alternative construction waste management approaches using supply-chain-linked life-cycle analysis.

    PubMed

    Kucukvar, Murat; Egilmez, Gokhan; Tatari, Omer

    2014-06-01

    Waste management in construction is critical for the sustainable treatment of building-related construction and demolition (C&D) waste materials, and recycling of these wastes has been considered as one of the best strategies in minimization of C&D debris. However, recycling of C&D materials may not always be a feasible strategy for every waste type and therefore recycling and other waste treatment strategies should be supported by robust decision-making models. With the aim of assessing the net carbon, energy, and water footprints of C&D recycling and other waste management alternatives, a comprehensive economic input-output-based hybrid life-cycle assessment model is developed by tracing all of the economy-wide supply-chain impacts of three waste management strategies: recycling, landfilling, and incineration. Analysis results showed that only the recycling of construction materials provided positive environmental footprint savings in terms of carbon, energy, and water footprints. Incineration is a better option as a secondary strategy after recycling for water and energy footprint categories, whereas landfilling is found to be as slightly better strategy when carbon footprint is considered as the main focus of comparison. In terms of construction materials' environmental footprint, nonferrous metals are found to have a significant environmental footprint reduction potential if recycled.

  2. Functional analysis of slow myosin heavy chain 1 and myomesin-3 in sarcomere organization in zebrafish embryonic slow muscles.

    PubMed

    Xu, Jin; Gao, Jie; Li, Junling; Xue, Liangyi; Clark, Karl J; Ekker, Stephen C; Du, Shao Jun

    2012-02-01

    Myofibrillogenesis, the process of sarcomere formation, requires close interactions of sarcomeric proteins and various components of sarcomere structures. The myosin thick filaments and M-lines are two key components of the sarcomere. It has been suggested that myomesin proteins of M-lines interact with myosin and titin proteins and keep the thick and titin filaments in order. However, the function of myomesin in myofibrillogenesis and sarcomere organization remained largely enigmatic. No knockout or knockdown animal models have been reported to elucidate the role of myomesin in sarcomere organization in vivo. In this study, by using the gene-specific knockdown approach in zebrafish embryos, we carried out a loss-of-function analysis of myomesin-3 and slow myosin heavy chain 1 (smyhc1) expressed specifically in slow muscles. We demonstrated that knockdown of smyhc1 abolished the sarcomeric localization of myomesin-3 in slow muscles. In contrast, loss of myomesin-3 had no effect on the sarcomeric organization of thick and thin filaments as well as M- and Z-line structures. Together, these studies indicate that myosin thick filaments are required for M-line organization and M-line localization of myomesin-3. In contrast, myomesin-3 is dispensable for sarcomere organization in slow muscles.

  3. Optimization of milk odd and branched-chain fatty acids analysis by gas chromatography using an extremely polar stationary phase.

    PubMed

    Gómez-Cortés, P; Rodríguez-Pino, V; Juárez, M; de la Fuente, M A

    2017-09-15

    Odd and branched-chain fatty acids (OBCFA) are of interest, since they have bioactive properties and could be regarded biomarkers of ruminant fat intake. An accurate analysis of the individual OBCFA in milk by gas chromatography (GC) is not easy due to milk fat complexity. The availability of ionic liquid stationary phases as SLB-IL111 can be a useful tool to discriminate OBCFA from other milk FA eluting in the same chromatographic regions. The elution behavior of OBCFA on SLB-IL111 was evaluated based on different GC oven temperature programs. All programs assayed discriminated 11:0, iso 13:0, anteiso 13:0, iso 15:0, anteiso 15:0, 15:0 and iso 17:0. Using an initial temperature of 150°C for 1h, 13:0 and iso 16:0 were separated from trans-12:1 and 13-14:1, respectively, whereas iso 18:0 was discriminated from cis-16:1 isomers. 17:0 and 21:0 were well resolved only when an initial GC temperature of 160°C was applied. Copyright © 2017 Elsevier Ltd. All rights reserved.

  4. Detection of congenital cytomegalovirus infection by real-time polymerase chain reaction analysis of saliva or urine specimens.

    PubMed

    Ross, Shannon A; Ahmed, Amina; Palmer, April L; Michaels, Marian G; Sánchez, Pablo J; Bernstein, David I; Tolan, Robert W; Novak, Zdenek; Chowdhury, Nazma; Fowler, Karen B; Boppana, Suresh B

    2014-11-01

    Viral culture of urine or saliva has been the gold standard technique for the diagnosis of congenital cytomegalovirus (CMV) infection. Results of rapid culture and polymerase chain reaction (PCR) analysis of urine and saliva specimens from 80 children were compared to determine the clinical utility of a real-time PCR assay for diagnosis of congenital CMV infection. Results of urine PCR were positive in 98.8% of specimens. Three PCR-positive urine samples were culture negative. Results of saliva PCR and culture were concordant in 78 specimens (97.5%). Two PCR-positive saliva samples were culture negative. These findings demonstrate that PCR performs as well as rapid culture of urine or saliva specimens for diagnosing congenital CMV infection and saliva specimens are easier to collect. Because PCR also offers more rapid turnaround, is unlikely to be affected by storage and transport conditions, has lower cost, and may be adapted to high-throughput situations, it is well suited for targeted testing and large-scale screening for CMV.

  5. Application of Markov chain Monte Carlo analysis to biomathematical modeling of respirable dust in US and UK coal miners

    PubMed Central

    Sweeney, Lisa M.; Parker, Ann; Haber, Lynne T.; Tran, C. Lang; Kuempel, Eileen D.

    2015-01-01

    A biomathematical model was previously developed to describe the long-term clearance and retention of particles in the lungs of coal miners. The model structure was evaluated and parameters were estimated in two data sets, one from the United States and one from the United Kingdom. The three-compartment model structure consists of deposition of inhaled particles in the alveolar region, competing processes of either clearance from the alveolar region or translocation to the lung interstitial region, and very slow, irreversible sequestration of interstitialized material in the lung-associated lymph nodes. Point estimates of model parameter values were estimated separately for the two data sets. In the current effort, Bayesian population analysis using Markov chain Monte Carlo simulation was used to recalibrate the model while improving assessments of parameter variability and uncertainty. When model parameters were calibrated simultaneously to the two data sets, agreement between the derived parameters for the two groups was very good, and the central tendency values were similar to those derived from the deterministic approach. These findings are relevant to the proposed update of the ICRP human respiratory tract model with revisions to the alveolar-interstitial region based on this long-term particle clearance and retention model. PMID:23454101

  6. A MARKOV CHAIN MONTE CARLO ALGORITHM FOR ANALYSIS OF LOW SIGNAL-TO-NOISE COSMIC MICROWAVE BACKGROUND DATA

    SciTech Connect

    Jewell, J. B.; O'Dwyer, I. J.; Huey, Greg; Gorski, K. M.; Eriksen, H. K.; Wandelt, B. D. E-mail: h.k.k.eriksen@astro.uio.no

    2009-05-20

    We present a new Markov Chain Monte Carlo (MCMC) algorithm for cosmic microwave background (CMB) analysis in the low signal-to-noise regime. This method builds on and complements the previously described CMB Gibbs sampler, and effectively solves the low signal-to-noise inefficiency problem of the direct Gibbs sampler. The new algorithm is a simple Metropolis-Hastings sampler with a general proposal rule for the power spectrum, C {sub l}, followed by a particular deterministic rescaling operation of the sky signal, s. The acceptance probability for this joint move depends on the sky map only through the difference of {chi}{sup 2} between the original and proposed sky sample, which is close to unity in the low signal-to-noise regime. The algorithm is completed by alternating this move with a standard Gibbs move. Together, these two proposals constitute a computationally efficient algorithm for mapping out the full joint CMB posterior, both in the high and low signal-to-noise regimes.

  7. Simultaneous analysis of perfluoroalkyl and polyfluoroalkyl substances including ultrashort-chain C2 and C3 compounds in rain and river water samples by ultra performance convergence chromatography.

    PubMed

    Yeung, Leo W Y; Stadey, Christopher; Mabury, Scott A

    2017-11-03

    An analytical method using ultra performance convergence chromatography (UPC(2)) coupled to a tandem mass spectrometer operated in negative electrospray mode was developed to measure perfluoroalkyl and polyfluoroalkyl substances (PFASs) including the ultrashort-chain PFASs (C2-C3). Compared to the existing liquid chromatography tandem mass spectrometry method using an ion exchange column, the new method has a lower detection limit (0.4pg trifluoroacetate (TFA) on-column), narrower peak width (3-6s), and a shorter run time (8min). Using the same method, different classes of PFASs (e.g., perfluoroalkyl sulfonates (PFSAs) and perfluorinated carboxylates (PFCAs), perfluorinated phosphonates (PFPAs) and phosphinates (PFPiAs), polyfluoroalkyl phosphate diesters (diPAPs)) can be measured in a single analysis. Rain (n=2) and river water (n=2) samples collected in Toronto, ON, were used for method validation and application. Results showed that short-chain PFAS (C2-C7 PFCAs and C4 PFSA) contributed to over 80% of the detectable PFASs in rain samples and the C2-C3 PFASs alone accounted for over 40% of the total. Reports on environmental levels of these ultrashort-chain PFASs are relatively scarce. Relatively large contribution of these ultrashort-chain PFASs to the total PFASs indicate the need to include the measurement of short-chain PFASs, especially C2 and C3 PFASs, in environmental monitoring. The sources of TFA and other short-chain PFASs in the environment are not entirely clear. The newly developed analytical method may help further investigation on the sources and the environmental levels of these ultrashort-chain PFASs. Copyright © 2017 Elsevier B.V. All rights reserved.

  8. Effects of medium-chain triglycerides on weight loss and body composition: a meta-analysis of randomized controlled trials.

    PubMed

    Mumme, Karen; Stonehouse, Welma

    2015-02-01

    Medium-chain triglycerides (MCTs) may result in negative energy balance and weight loss through increased energy expenditure and lipid oxidation. However, results from human intervention studies investigating the weight reducing potential of MCTs, have been mixed. To conduct a systematic review and meta-analysis of randomized controlled trials comparing the effects of MCTs, specifically C8:0 and C10:0, to long-chain triglycerides (LCTs) on weight loss and body composition in adults. Changes in blood lipid levels were secondary outcomes. Randomized controlled trials >3 weeks' duration conducted in healthy adults were identified searching Web of Knowledge, Discover, PubMed, Scopus, New Zealand Science, and Cochrane CENTRAL until March 2014 with no language restriction. Identified trials were assessed for bias. Mean differences were pooled and analyzed using inverse variance models with fixed effects. Heterogeneity between studies was calculated using I(2) statistic. An I(2)>50% or P<0.10 indicated heterogeneity. Thirteen trials (n=749) were identified. Compared with LCTs, MCTs decreased body weight (-0.51 kg [95% CI-0.80 to -0.23 kg]; P<0.001; I(2)=35%); waist circumference (-1.46 cm [95% CI -2.04 to -0.87 cm]; P<0.001; I(2)=0%), hip circumference (-0.79 cm [95% CI -1.27 to -0.30 cm]; P=0.002; I(2)=0%), total body fat (standard mean difference -0.39 [95% CI -0.57 to -0.22]; P<0.001; I(2)=0%), total subcutaneous fat (standard mean difference -0.46 [95% CI -0.64 to -0.27]; P<0.001; I(2)=20%), and visceral fat (standard mean difference -0.55 [95% CI -0.75 to -0.34]; P<0.001; I(2)=0%). No differences were seen in blood lipid levels. Many trials lacked sufficient information for a complete quality assessment, and commercial bias was detected. Although heterogeneity was absent, study designs varied with regard to duration, dose, and control of energy intake. Replacement of LCTs with MCTs in the diet could potentially induce modest reductions in body weight and composition

  9. Distribution and primary source analysis of per- and poly-fluoroalkyl substances with different chain lengths in surface and groundwater in two cities, North China.

    PubMed

    Yao, Yiming; Zhu, Hongkai; Li, Bing; Hu, Hongwei; Zhang, Tao; Yamazaki, Eriko; Taniyasu, Sachi; Yamashita, Nobuyoshi; Sun, Hongwen

    2014-10-01

    Per- and poly-fluoroalkyl substances (PFASs) have been widely detected in the hydrosphere. The knowledge on the distribution and composition patterns of PFAS analogues with different chain length significantly contribute to their source analysis. In the present study, a regional scale investigation of PFASs in surface river waters and adjacent ground waters was carried out in two cities of China with potential contamination, Tianjin and Weifang. A total of 31 water samples were collected, and 20 PFASs therein were measured by a high-performance liquid chromatograph-tandem mass spectrometer (HPLC-MS/MS). The possible sources of PFASs in the aquatic environment were assessed primarily by concentration patterns as well as hierarchical cluster analysis. In all 4 rivers investigated in the two cities, perfluoroalkyl carboxylic acids (PFCAs) were the dominant compounds contributing over 70% of the PFASs detected. Perfluorooctanoic acid (PFOA) was the dominant PFCA with a concentration range of 8.58-20.3ng/L in Tianjin and 6.37-25.9ng/L in Weifang, respectively. On the average, the highest concentration was observed in samples from Dagu Drainage Canal (Dagu) in Tianjin and those short-chain PFASs (C4-C6) was detected with a comparable level of the longer-chain PFASs (>C6). Specifically, perfluorobutanoic acid (PFBA) was dominant in the short-chain analogues. This indicates that a remarkably increasing input of short-chain PFASs might be related to wastewater treatment plant effluent or industrial discharges, which could be possibly due to the switch of manufacturing to short-chain products. In Weifang, precipitation and subsequent surface runoff as non-point sources could be significant inputs of PFASs into surface water while groundwater was possibly subjected to severe point sources with ∑PFASs concentration up to ~100ng/L. The inconsistent distribution patterns in groundwater suggest complicated pathways of contamination. Copyright © 2014 Elsevier Inc. All rights

  10. Analysis of the Sn chain length fluctuations on Si(100)2 ×1 : An extraction of microscopic parameters

    NASA Astrophysics Data System (ADS)

    Kučera, M.; Kocán, P.; Sobotík, P.; Majer, K.; Ošt'ádal, I.

    2017-07-01

    Tin chains grown on the Si(100)2 ×1 surface were studied by scanning tunneling microscopy. Real time measurements were used for recording chain length fluctuations in a temperature range from 310 to 350 K. The recorded data were analyzed by means of a statistical model containing both interfering processes observed at a chain termination—random attachment and detachment of metal atoms. Rates of the both processes were calculated from lifetimes of two different chain terminations (monomer or dimer) by means of derived formulas. The activation energies for the detachment and frequency prefactors were calculated from dependence of the corresponding time constants on temperature in an Arrhenius plot. A similar approach was used for characterization of binding Sn atoms on C -type defects which represent preferential adsorption sites.

  11. Facile analysis of contents and compositions of the chondroitin sulfate/dermatan sulfate hybrid chain in shark and ray tissues.

    PubMed

    Takeda, Naoko; Horai, Sawako; Tamura, Jun-ichi

    2016-04-07

    The chondroitin sulfate (CS)/dermatan sulfate (DS) hybrid chain was extracted from specific tissues of several kinds of sharks and rays. The contents and sulfation patterns of the CS/DS hybrid chain were precisely analyzed by digestion with chondroitinases ABC and AC. All samples predominantly contained the A- and C-units. Furthermore, all samples characteristically contained the D-unit. Species-specific differences were observed in the contents of the CS/DS hybrid chain, which were the highest in Mako and Blue sharks and Sharpspine skates, but were lower in Hammerhead sharks. Marked differences were observed in the ratio of the C-unit/A-unit between sharks and rays. The contents of the CS/DS hybrid chain and the ratio of the C-unit/A-unit may be related to an oxidative stress-decreasing ability.

  12. Cloning and sequence analysis of complementary DNA encoding an aberrantly rearranged human T-cell gamma chain.

    PubMed Central

    Dialynas, D P; Murre, C; Quertermous, T; Boss, J M; Leiden, J M; Seidman, J G; Strominger, J L

    1986-01-01

    Complementary DNA (cDNA) encoding a human T-cell gamma chain has been cloned and sequenced. At the junction of the variable and joining regions, there is an apparent deletion of two nucleotides in the human cDNA sequence relative to the murine gamma-chain cDNA sequence, resulting simultaneously in the generation of an in-frame stop codon and in a translational frameshift. For this reason, the sequence presented here encodes an aberrantly rearranged human T-cell gamma chain. There are several surprising differences between the deduced human and murine gamma-chain amino acid sequences. These include poor homology in the variable region, poor homology in a discrete segment of the constant region precisely bounded by the expected junctions of exon CII, and the presence in the human sequence of five potential sites for N-linked glycosylation. Images PMID:3458221

  13. Chain Gang

    NASA Technical Reports Server (NTRS)

    2006-01-01

    6 August 2006 This Mars Global Surveyor (MGS) Mars Orbiter Camera (MOC) image shows a chain of clustered and battered craters. These were formed by secondary impact. That is, somewhere to the south (beyond the bottom of this image), a large impact crater formed. When this occurred, material ejected from the crater was thrown tens to hundreds of kilometers away. This material then impacted the martian surface, forming clusters and chains of smaller craters.

    Location near: 15.8oN, 35.6oW Image width: 3 km (1.9 mi) Illumination from: upper left Season: Northern Spring

  14. When Phase Contrast Fails: ChainTracer and NucTracer, Two ImageJ Methods for Semi-Automated Single Cell Analysis Using Membrane or DNA Staining.

    PubMed

    Syvertsson, Simon; Vischer, Norbert O E; Gao, Yongqiang; Hamoen, Leendert W

    2016-01-01

    Within bacterial populations, genetically identical cells often behave differently. Single-cell measurement methods are required to observe this heterogeneity. Flow cytometry and fluorescence light microscopy are the primary methods to do this. However, flow cytometry requires reasonably strong fluorescence signals and is impractical when bacteria grow in cell chains. Therefore fluorescence light microscopy is often used to measure population heterogeneity in bacteria. Automatic microscopy image analysis programs typically use phase contrast images to identify cells. However, many bacteria divide by forming a cross-wall that is not detectable by phase contrast. We have developed 'ChainTracer', a method based on the ImageJ plugin ObjectJ. It can automatically identify individual cells stained by fluorescent membrane dyes, and measure fluorescence intensity, chain length, cell length, and cell diameter. As a complementary analysis method we developed 'NucTracer', which uses DAPI stained nucleoids as a proxy for single cells. The latter method is especially useful when dealing with crowded images. The methods were tested with Bacillus subtilis and Lactococcus lactis cells expressing a GFP-reporter. In conclusion, ChainTracer and NucTracer are useful single cell measurement methods when bacterial cells are difficult to distinguish with phase contrast.

  15. Detection of HLA-DRB1 microchimerism using nested polymerase chain reaction and single-strand conformation polymorphism analysis.

    PubMed

    Song, Eun Young; Chung, Hye Yoon; Joo, Shin Young; Roh, Eun Youn; Seong, Moon-Woo; Shin, Yunsu; Park, Myoung Hee

    2012-03-01

    For the detection of microchimerism, molecular methods detecting donor-specific HLA-DRB1 alleles in the recipient are most commonly used. Nested polymerase chain reaction sequence specific primer (nested PCR-SSP) methods widely used to increase the sensitivity of detection have been reported to give frequent false-positive reactions. We have developed a new method combining nested PCR with single-strand conformation polymorphism analysis (nested PCR-SSCP) and tested the 1 to 0.00001% level of microchimerism for 27 different HLA-DRB1 alleles. For most (26/27) of the HLA-DRB1 alleles tested, this method could detect 0.01 to 0.001% of microchimerism and its sensitivity was equal to or better than that of nested PCR-SSP tested in parallel. Its specificity was verified by visualizing particular DRB1-specific SSCP bands under test. Nested PCR-SSP indicated frequent false-positive reactions, mainly caused by nonspecific amplification of DRB3/B4/B5 alleles present in the major (recipient) DNAs. We have compared a real-time quantitative PCR for non-human leukocyte antigen (HLA) target (insertion/deletion marker) using a commercial kit (AlleleSEQR Chimerism assay), and its microchimerism detection sensitivity (around 0.1%) was 1 step (10 times) lower than that of nested PCR-SSP or -SSCP methods for HLA-DRB1 alleles. We validated that the newly designed nested PCR-SSCP affords good sensitivity and specificity and may be useful for studying microchimerism in clinical settings.

  16. Further analysis of Del (D-elute) using polymerase chain reaction (PCR) with RHD gene-specific primers.

    PubMed

    Fukumori, Y; Hori, Y; Ohnoki, S; Nagao, N; Shibata, H; Okubo, Y; Yamaguchi, H

    1997-09-01

    Del (D-elute) in the Rh blood group system is a variant with very weak D antigen and no agglutination is found by the indirect antiglobulin test. This variant is characterized by the presence of anti-D eluate obtained after an adsorption-elution test using anti-D antibodies. We studied here the molecular genetic status of Del by using polymerase chain reaction with sequence-specific primers (PCR-SSP). We screened 306 serologically apparent D-negative Japanese donors comprising 102 Del types for exons 7, 4 and 10 of the RHD gene. No PCR product was found in all 204 non-Del samples from the D-seronegative donors. However, PCR products were found in all 102 Del samples and all 70 D-seropositive samples tested by the three PCR methods for exons 7, 4 and 10 analysis. Del was found with CCee, CcEe and Ccee, but not with CCEe, CcEE, ccEE, ccEe or ccee phenotype. The incidences of Del in the samples with the serological phenotypes CCee, CcEe and Ccee were 80.0% (4/5), 68.2% (45/66) and 61.6% (53/86), respectively. The results provide evidence that Del samples have exons 4, 7 and 10 of an RHD gene present in some form. This is consistent with the evidence that D antigen is present on the cells although only detected by antibody adsorption and elution. The PCR-SSP method in the present study is useful to confirm Del among serologically apparent D-negative samples.

  17. Analysis of clinical information and reverse transcriptase-polymerase chain reaction for early diagnosis of enteroviral meningitis

    PubMed Central

    Jin, Dahee; Heo, Tae Hoon; Byeon, Jung Hye; Kim, Gun-Ha; Kim, Mi Kyung; Eun, So-Hee

    2015-01-01

    Purpose Meningitis is among the most common infections affecting the central nervous system. It can be difficult to determine the exact pathogen responsible for the infection and patients are often treated with empiric antibiotics. This study was conducted to identify the most common clinical characteristics of enteroviral meningitis in children and evaluate the diagnostic efficacy of reverse transcriptase-polymerase chain reaction (RT-PCR) for early detection of an enterovirus. Methods We analyzed the medical records of children admitted to Korea University Medical Center and diagnosed with meningitis on the basis of cerebrospinal fluid (CSF) analysis and RT-PCR from CSF and other samples from January 2010 to August 2013. Results A total of 333 patients were enrolled and classified into four groups based on diagnosis: enteroviral meningitis (n=110), bacterial meningitis (n=23), other viral meningitis (n=36), and unknown etiology (n=164). Patients with bacterial meningitis were younger than those in the other groups (P<0.001). Pleocytosis in CSF was similar across all groups. Of patients in the enteroviral meningitis group, 92.7% were diagnosed based on RT-PCR findings. Mean length of hospital stay for patients with enteroviral meningitis was 6.08 days, which was significantly shorter than that for patients with meningitis of bacterial etiology (19.73 days, P<0.001). Conclusion Diagnosis of enteroviral meningitis before viral culture results are available is possible using RT-PCR. Accurate diagnosis reduces the length of hospital stay and helps to avoid unnecessary empiric antibiotic treatment. PMID:26692881

  18. Structure-function analysis of dynein light chain 1 identifies viable motility mutants in bloodstream-form Trypanosoma brucei.

    PubMed

    Ralston, Katherine S; Kisalu, Neville K; Hill, Kent L

    2011-07-01

    The flagellum of Trypanosoma brucei is an essential and multifunctional organelle that is receiving increasing attention as a potential drug target and as a system for studying flagellum biology. RNA interference (RNAi) knockdown is widely used to test the requirement for a protein in flagellar motility and has suggested that normal flagellar motility is essential for viability in bloodstream-form trypanosomes. However, RNAi knockdown alone provides limited functional information because the consequence is often loss of a multiprotein complex. We therefore developed an inducible system that allows functional analysis of point mutations in flagellar proteins in T. brucei. Using this system, we identified point mutations in the outer dynein light chain 1 (LC1) that allow stable assembly of outer dynein motors but do not support propulsive motility. In procyclic-form trypanosomes, the phenotype of LC1 mutants with point mutations differs from the motility and structural defects of LC1 knockdowns, which lack the outer-arm dynein motor. Thus, our results distinguish LC1-specific functions from broader functions of outer-arm dynein. In bloodstream-form trypanosomes, LC1 knockdown blocks cell division and is lethal. In contrast, LC1 point mutations cause severe motility defects without affecting viability, indicating that the lethal phenotype of LC1 RNAi knockdown is not due to defective motility. Our results demonstrate for the first time that normal motility is not essential in bloodstream-form T. brucei and that the presumed connection between motility and viability is more complex than might be interpreted from knockdown studies alone. These findings open new avenues for dissecting mechanisms of flagellar protein function and provide an important step in efforts to exploit the potential of the flagellum as a therapeutic target in African sleeping sickness.

  19. Short-chain fatty acids, prebiotics, synbiotics, and systemic inflammation: a systematic review and meta-analysis.

    PubMed

    McLoughlin, Rebecca F; Berthon, Bronwyn S; Jensen, Megan E; Baines, Katherine J; Wood, Lisa G

    2017-08-09

    Background: Prebiotic soluble fibers are fermented by beneficial bacteria in the colon to produce short-chain fatty acids (SCFAs), which are proposed to have systemic anti-inflammatory effects.Objective: This review examines the effect of SCFAs, prebiotics, and pre- and probiotic combinations (synbiotics) on systemic inflammation.Design: Relevant English language studies from 1947 to May 2017 were identified with the use of online databases. Studies were considered eligible if they examined the effects of SCFAs, prebiotics, or synbiotics; were delivered orally, intravenously, or per rectum; were on biomarkers of systemic inflammation in humans; and performed meta-analysis where possible.Results: Sixty-eight studies were included. Fourteen of 29 prebiotic studies and 13 of 26 synbiotic studies reported a significant decrease in ≥1 marker of systemic inflammation. Eight studies compared prebiotic and synbiotic supplementation, 2 of which reported a decrease in inflammation with synbiotics only, with 1 reporting a greater anti-inflammatory effect with synbiotics than with prebiotics alone. Meta-analyses indicated that prebiotics reduce C-reactive protein (CRP) [standardized mean difference (SMD): -0.60; 95% CI: -0.98, -0.23], and synbiotics reduce CRP (SMD: -0.40; 95% CI: -0.73, -0.06) and tumor necrosis factor-α (SMD -0.90; 95% CI: -1.50, -0.30).Conclusions: There is significant heterogeneity of outcomes in studies examining the effect of prebiotics and synbiotics on systemic inflammation. Approximately 50% of included studies reported a decrease in ≥1 inflammatory biomarker. The inconsistency in reported outcomes may be due to heterogeneity in study design, supplement formulation, dosage, duration, and subject population. Nonetheless, meta-analyses provide evidence to support the systemic anti-inflammatory effects of prebiotic and synbiotic supplementation. © 2017 American Society for Nutrition.

  20. Genetic divergence between Mexican Opuntia accessions inferred by polymerase chain reaction-restriction fragment length polymorphism analysis.

    PubMed

    Samah, S; Valadez-Moctezuma, E; Peláez-Luna, K S; Morales-Manzano, S; Meza-Carrera, P; Cid-Contreras, R C

    2016-06-03

    Molecular methods are powerful tools in characterizing and determining relationships between plants. The aim of this study was to study genetic divergence between 103 accessions of Mexican Opuntia. To accomplish this, polymerase chain reaction (PCR)-restriction fragment length polymorphism analysis of three chloroplast intergenic spacers (atpB-rbcL, trnL-trnF, and psbA-trnH), one chloroplast gene (ycf1), two nuclear genes (ppc and PhyC), and one mitochondrial gene (cox3) was conducted. The amplified products from all the samples had very similar molecular sizes, and there were only very small differences between the undigested PCR amplicons for all regions, with the exception of ppc. We obtained 5850 bp from the seven regions, and 136 fragments were detected with eight enzymes, 37 of which (27.2%) were polymorphic. We found that 40% of the fragments from the chloroplast regions were polymorphic, 9.8% of the bands detected in the nuclear genes were polymorphic, and 20% of the bands in the mitochondrial locus were polymorphic. trnL-trnF and psbA-trnH were the most variable regions. The Nei and Li/Dice distance was very short, and ranged from 0 to 0.12; indeed, 77 of the 103 genotypes had the same genetic profile. All the xoconostle accessions (acidic fruits) were grouped together without being separated from three genotypes of prickly pear (sweet fruits). We assume that the genetic divergence between prickly pears and xoconostles is very low, and question the number of Opuntia species currently considered in Mexico.

  1. Analysis of heavy and light chain sequences of conventional camelid antibodies from Camelus dromedarius and Camelus bactrianus species.

    PubMed

    Griffin, Laura M; Snowden, James R; Lawson, Alastair D G; Wernery, Ulrich; Kinne, Jorg; Baker, Terry S

    2014-03-01

    Camel antibodies have been widely investigated, but work has focused upon the unique heavy chain antibodies found across camelid species. These are homodimers, devoid of light chains and the first constant heavy chain domain. Camelid species also display conventional hetero-tetrameric antibodies with identical pairs of heavy and light chains; in Camelus dromedarius these constitute 25% of circulating antibodies. Few investigations have been made on this subset of antibodies and complete conventional camel IgG sequences have not been reported. Here we study the sequence diversity of functional variable and constant regions observed in 57 conventional heavy, 18 kappa and 35 lambda light chains of C. dromedarius and Camelus bactrianus. We detail sequences of the full kappa and lambda light chain, variable and CH1 region for IgG1a and IgG1b and the CH2 and CH3 region for IgG1a. The majority (60%) of IgG1 variable region sequences aligned with the human IgHV3 family (clan III) and had leader sequences beginning with MELG whereas the remaining sequences aligned with the IgHV4 (clan II) and had leader sequences beginning with MRLL. Distinct differences in CDR length were observed between the two; where CDR1 was typically 5 and 7 residues and CDR2 at 17 and 16 residues, respectively. CDR3 length of IgHV4 (range 11 to 20) was closer to that typical of VHH antibodies than that of IgHV3 (range 3 to 18 residues). Designed oligonucleotide primers have enabled identification of paired heavy and light chains of conventional camel antibodies from individual B cell clones.

  2. Behavioral Analysis of Visitors to a Medical Institution’s Website Using Markov Chain Monte Carlo Methods

    PubMed Central

    Tani, Yuji

    2016-01-01

    Background Consistent with the “attention, interest, desire, memory, action” (AIDMA) model of consumer behavior, patients collect information about available medical institutions using the Internet to select information for their particular needs. Studies of consumer behavior may be found in areas other than medical institution websites. Such research uses Web access logs for visitor search behavior. At this time, research applying the patient searching behavior model to medical institution website visitors is lacking. Objective We have developed a hospital website search behavior model using a Bayesian approach to clarify the behavior of medical institution website visitors and determine the probability of their visits, classified by search keyword. Methods We used the website data access log of a clinic of internal medicine and gastroenterology in the Sapporo suburbs, collecting data from January 1 through June 31, 2011. The contents of the 6 website pages included the following: home, news, content introduction for medical examinations, mammography screening, holiday person-on-duty information, and other. The search keywords we identified as best expressing website visitor needs were listed as the top 4 headings from the access log: clinic name, clinic name + regional name, clinic name + medical examination, and mammography screening. Using the search keywords as the explaining variable, we built a binomial probit model that allows inspection of the contents of each purpose variable. Using this model, we determined a beta value and generated a posterior distribution. We performed the simulation using Markov Chain Monte Carlo methods with a noninformation prior distribution for this model and determined the visit probability classified by keyword for each category. Results In the case of the keyword “clinic name,” the visit probability to the website, repeated visit to the website, and contents page for medical examination was positive. In the case of the

  3. CMB quadrupole depression produced by early fast-roll inflation: Monte Carlo Markov chains analysis of WMAP and SDSS data

    SciTech Connect

    Destri, C.; Vega, H. J. de; Sanchez, N. G.

    2008-07-15

    Generically, the classical evolution of the inflaton has a brief fast-roll stage that precedes the slow-roll regime. The fast-roll stage leads to a purely attractive potential in the wave equations of curvature and tensor perturbations (while the potential is purely repulsive in the slow-roll stage). This attractive potential leads to a depression of the CMB quadrupole moment for the curvature and B-mode angular power spectra. A single new parameter emerges in this way in the early universe model: the comoving wave number k{sub 1} characteristic scale of this attractive potential. This mode k{sub 1} happens to exit the horizon precisely at the transition from the fast-roll to the slow-roll stage. The fast-roll stage dynamically modifies the initial power spectrum by a transfer function D(k). We compute D(k) by solving the inflaton evolution equations. D(k) effectively suppresses the primordial power for kchain analysis of the WMAP and SDSS data including the fast-roll stage and find the value k{sub 1}=0.266 Gpc{sup -1}. The quadrupole mode k{sub Q}=0.242 Gpc{sup -1} exits the horizon earlier than k{sub 1}, about one-tenth of an e-fold before the end of fast roll. We compare the fast-roll fit with a fit without fast roll but including a sharp lower cutoff on the primordial power. Fast roll provides a slightly better fit than a sharp cutoff for the temperature-temperature, temperature-E modes, and E modes-E modes. Moreover, our fits provide nonzero lower bounds for r, while the values of the other cosmological parameters are essentially those of the pure {lambda}CDM model. We display the real space two point C{sup TT}({theta}) correlator. The fact that k{sub Q} exits the horizon before the slow-roll stage implies an upper bound in the total number of e-folds N{sub tot} during inflation. Combining this with estimates during the

  4. Frequent side chain methyl carbon-oxygen hydrogen bonding in proteins revealed by computational and stereochemical analysis of neutron structures.

    PubMed

    Yesselman, Joseph D; Horowitz, Scott; Brooks, Charles L; Trievel, Raymond C

    2015-03-01

    The propensity of backbone Cα atoms to engage in carbon-oxygen (CH · · · O) hydrogen bonding is well-appreciated in protein structure, but side chain CH · · · O hydrogen bonding remains largely uncharacterized. The extent to which side chain methyl groups in proteins participate in CH · · · O hydrogen bonding is examined through a survey of neutron crystal structures, quantum chemistry calculations, and molecular dynamics simulations. Using these approaches, methyl groups were observed to form stabilizing CH · · · O hydrogen bonds within protein structure that are maintained through protein dynamics and participate in correlated motion. Collectively, these findings illustrate that side chain methyl CH · · · O hydrogen bonding contributes to the energetics of protein structure and folding. © 2014 Wiley Periodicals, Inc.

  5. Implementation and performance analysis of bridging Monte Carlo moves for off-lattice single chain polymers in globular states

    NASA Astrophysics Data System (ADS)

    Reith, Daniel; Virnau, Peter

    2010-04-01

    Bridging algorithms are global Monte Carlo moves which allow for an efficient sampling of single polymer chains. In this manuscript we discuss the adaptation of three bridging algorithms from lattice to continuum models, and give details on the corrections to the acceptance rules which are required to fulfill detailed balance. For the first time we are able to compare the efficiency of the moves by analyzing the occurrence of knots in globular states. For a flexible homopolymer chain of length N=1000, independent configurations can be generated up to two orders of magnitude faster than with slithering snake moves.

  6. The use of heteroduplex analysis of polymerase chain reaction products to support the possible transmission of Legionella pneumophila from a malfunctioning automobile air conditioner.

    PubMed

    Pinar, Ahmet; Ramirez, Julio A; Schindler, Laura L; Miller, Richard D; Summersgill, James T

    2002-03-01

    Air conditioner condensates have not been previously associated with cases of Legionnaires' disease. We report the possible transmission of Legionella pneumophila serogroup 1 from a malfunctioning automobile air conditioning system's leaking water onto the floorboard of a car driven for a long distance by the patient. Heteroduplex analysis of polymerase chain reaction products was used to help establish an epidemiologic link between the water specimen and the patient.

  7. Self-avoiding magnetic chains

    NASA Astrophysics Data System (ADS)

    Shang, C. H.; Liu, B. X.; Li, H. D.

    1991-10-01

    We report a first experimental evidence for the self-avoiding walks in Fe-Cu thin films. Transmission electron microscopy showed that the observed self-avoiding chains result from aggregation of the magnetic Fe particles. Scaling analysis demonstrated that these chains were indeed self-similar structures with fractal dimensions ranging from 1.13 to 1.29. It was found that as the annealing temperature elevated, the fractal dimension of the chains with nearly the same width increased. Rich microstructures pertinent to the self-avoiding magnetic chains are described in detail, and a theoretical attempt based on magnetic interaction is proposed to account for the temperature effect.

  8. Markov chain Monte Carlo analysis for the selection of a cell-killing model under high-dose-rate irradiation.

    PubMed

    Matsuya, Yusuke; Kimura, Takaaki; Date, Hiroyuki

    2017-08-08

    High-dose-rate irradiation with 6 MV linac x rays is a wide-spread means to treat cancer tissue in radiotherapy. The treatment planning relies on a mathematical description of surviving fraction (SF), such as the linear-quadratic model (LQM) formula. However, even in the case of high-dose-rate treatment, the repair kinetics of DNA damage during dose-delivery time plays a function in predicting the dose-SF relation. This may call the SF model selection into question when considering the dose-delivery time or dose-rate effects (DREs) in radiotherapy and in vitro cell experiments. In this study, we demonstrate the importance of dose-delivery time at high-dose-rate irradiations used in radiotherapy by means of Bayesian estimation. To evaluate the model selection for SF, three types of models, the LQM and two microdosimetric-kinetic models with and without DREs (MKMDR and MKM) were applied to describe in vitroSF data (our work and references). The parameters in each model were evaluated by a Markov chain Monte Carlo (MCMC) simulation. The MCMC analysis shows that the cell survival curve by the MKMDR fits the experimental data the best in terms of the deviance information criterion (DIC). In the fractionated regimen with 30 fractions to a total dose of 60 Gy, the final cell survival estimated by the MKMDR was higher than that by the LQM. This suggests that additional fractions are required for attaining the total dose equivalent to yield the same effect as the conventional regimen using the LQM in fractionated radiotherapy. Damage repair during dose-delivery time plays a key role in precisely estimating cell survival even at a high dose rate in radiotherapy. Consequently, it was suggested that the cell-killing model without repair factor during a short dose-delivery time may overestimate actual cell killing in fractionated radiotherapy. © 2017 American Association of Physicists in Medicine.

  9. Is food allergen analysis flawed? Health and supply chain risks and a proposed framework to address urgent analytical needs.

    PubMed

    Walker, M J; Burns, D T; Elliott, C T; Gowland, M H; Mills, E N Clare

    2016-01-07

    Food allergy is an increasing problem for those affected, their families or carers, the food industry and for regulators. The food supply chain is highly vulnerable to fraud involving food allergens, risking fatalities and severe reputational damage to the food industry. Many facets are being pursued to ameliorate the difficulties including better food labelling and the concept of thresholds of elicitation of allergy symptoms as risk management tools. These efforts depend to a high degree on the ability reliably to detect and quantify food allergens; yet all current analytical approaches exhibit severe deficiencies that jeopardise accurate results being produced particularly in terms of the risks of false positive and false negative reporting. If we fail to realise the promise of current risk assessment and risk management of food allergens through lack of the ability to measure food allergens reproducibly and with traceability to an international unit of measurement, the analytical community will have failed a significant societal challenge. Three distinct but interrelated areas of analytical work are urgently needed to address the substantial gaps identified: (a) a coordinated international programme for the production of properly characterised clinically relevant reference materials and calibrants for food allergen analysis; (b) an international programme to widen the scope of proteomics and genomics bioinformatics for the genera containing the major allergens to address problems in ELISA, MS and DNA methods; (c) the initiation of a coordinated international programme leading to reference methods for allergen proteins that provide results traceable to the SI. This article describes in more detail food allergy, the risks of inapplicable or flawed allergen analyses with examples and a proposed framework, including clinically relevant incurred allergen concentrations, to address the currently unmet and urgently required analytical requirements. Support for the

  10. Electromyographic Analysis of Single-Leg, Closed Chain Exercises: Implications for Rehabilitation After Anterior Cruciate Ligament Reconstruction

    PubMed Central

    Beutler, Anthony I.; Cooper, Leslie W.; Kirkendall, Don T.; Garrett, William E.

    2002-01-01

    Objective: Many knee rehabilitation studies have examined open and closed kinetic chain exercises. However, most studies focus on 2-legged, closed chain exercise. The purpose of our study was to characterize 1-legged, closed chain exercise in young, healthy subjects. Subjects: Eighteen normal subjects (11 men, 7 women; age, 24.6 ± 1.6 years) performed unsupported, 1-legged squats and step-ups to approximately tibial height. Measurements: Knee angle data and surface electromyographic activity from the thigh muscles were recorded. Results: The maximum angle of knee flexion was 111 ± 23° for squats and 101 ± 16° for step-ups. The peak quadriceps activation was 201 ± 66% maximum voluntary isometric contraction, occurring at an angle of 96 ± 16° for squats. Peak quadriceps activation was 207 ± 50% maximum voluntary isometric contraction and occurred at 83 ± 12° for step-ups. Conclusions: The high and sustained levels of quadriceps activation indicate that 1-legged squats and step-ups would be effective in muscle rehabilitation. As functional, closed chain activities, they may also be protective of anterior cruciate ligament grafts. Because these exercises involve no weights or training equipment, they may prove more cost effective than traditional modes of rehabilitation. PMID:12937438

  11. Genomic analysis of branched chain fatty acid and acyl sugar production in Solanum pennellii and Nicotiana benthamiana

    USDA-ARS?s Scientific Manuscript database

    Acyl sugars are extracellular epidermal lipids that are exuded from glandular trichomes and coat the aerial organs of many species in the Solanaceae. These highly viscous surfactants, which often contain branched-chain fatty acids (BCFA), play an important defensive role against pest and insects. ...

  12. Mathematical analysis of the impact mechanism of information platform on agro-product supply chain and agro-product competitiveness

    NASA Astrophysics Data System (ADS)

    Jiang, Qi-Jie; Jin, Mao-Zhu; Ren, Pei-Yu

    2017-04-01

    How to optimize agro-product supply chain to promote its operating efficiency so as to enhance the competitiveness of regional agricultural products has posed a problem to academic circles, business circles and governments of various levels. One way to solve this problem is to introduce an information platform into the supply chain, which this essay focuses on. Firstly, a review of existing research findings concerning the agro-product competitiveness, agro-product supply chain (ASC) and information platform was given. Secondly, we constructed a mathematical model to analyze the impact of information platform on the bullwhip effect in ASC. Thirdly, another mathematical model was constructed to help compare and analyze the impact of information platform on information acquisition of members in ASC. The research results show that the implantation of information platform can mitigate the bullwhip effect in ASC, and members can determine order amount or production more close to the actual market demand. And also the information platform can reduce the time for members in ASC to get information from other members. Besides, information platform can help ASC to alleviate information asymmetry among upstream and downstream members. Furthermore, researches about the operating mechanism and pattern, technical feature and running structure of the information platform, along with their impacts on agro-product supply chain and the competitiveness of agricultural products need to be advanced.

  13. Identification and comparative expression analysis of interleukin 2/15 receptor B chain in chickens infected with E. tenella

    USDA-ARS?s Scientific Manuscript database

    Background: Interleukin (IL) 2 and IL15 receptor beta chain (IL2/15Receptor beta, CD122) play critical roles in signal transduction for the biological activities of IL2 and IL15. Increased knowledge of non-mammalian IL2/15Receptor beta will enhance the understanding of IL2 and IL15 functions. Meth...

  14. Measuring the environmental sustainability performance of global supply chains: A multi-regional input-output analysis for carbon, sulphur oxide and water footprints.

    PubMed

    Acquaye, Adolf; Feng, Kuishuang; Oppon, Eunice; Salhi, Said; Ibn-Mohammed, Taofeeq; Genovese, Andrea; Hubacek, Klaus

    2017-02-01

    Measuring the performance of environmentally sustainable supply chains instead of chain constitute has become a challenge despite the convergence of the underlining principles of sustainable supply chain management. This challenge is exacerbated by the fact that supply chains are inherently dynamic and complex and also because multiple measures can be used to characterize performances. By identifying some of the critical issues in the literature regarding performance measurements, this paper contributes to the existing body of literature by adopting an environmental performance measurement approach for economic sectors. It uses economic sectors and evaluates them on a sectoral level in specific countries as well as part of the Global Value Chain based on the established multi-regional input-output (MRIO) modeling framework. The MRIO model has been used to calculate direct and indirect (that is supply chain or upstream) environmental effects such as CO2, SO2, biodiversity, water consumption and pollution to name just a few of the applications. In this paper we use MRIO analysis to calculate emissions and resource consumption intensities and footprints, direct and indirect impacts, and net emission flows between countries. These are exemplified by using carbon emissions, sulphur oxide emissions and water use in two highly polluting industries; Electricity production and Chemical industry in 33 countries, including the EU-27, Brazil, India and China, the USA, Canada and Japan from 1995 to 2009. Some of the highlights include: On average, direct carbon emissions in the electricity sector across all 27 member states of the EU was estimated to be 1368 million tons and indirect carbon emissions to be 470.7 million tons per year representing 25.6% of the EU-27 total carbon emissions related to this sector. It was also observed that from 2004, sulphur oxide emissions intensities in electricity production in India and China have remained relatively constant at about 62.8 g

  15. Identification of the significant factors in food safety using global sensitivity analysis and the accept-and-reject algorithm: application to the cold chain of ham.

    PubMed

    Duret, Steven; Guillier, Laurent; Hoang, Hong-Minh; Flick, Denis; Laguerre, Onrawee

    2014-06-16

    Deterministic models describing heat transfer and microbial growth in the cold chain are widely studied. However, it is difficult to apply them in practice because of several variable parameters in the logistic supply chain (e.g., ambient temperature varying due to season and product residence time in refrigeration equipment), the product's characteristics (e.g., pH and water activity) and the microbial characteristics (e.g., initial microbial load and lag time). This variability can lead to different bacterial growth rates in food products and has to be considered to properly predict the consumer's exposure and identify the key parameters of the cold chain. This study proposes a new approach that combines deterministic (heat transfer) and stochastic (Monte Carlo) modeling to account for the variability in the logistic supply chain and the product's characteristics. The model generates a realistic time-temperature product history , contrary to existing modeling whose describe time-temperature profile Contrary to existing approaches that use directly a time-temperature profile, the proposed model predicts product temperature evolution from the thermostat setting and the ambient temperature. The developed methodology was applied to the cold chain of cooked ham including, the display cabinet, transport by the consumer and the domestic refrigerator, to predict the evolution of state variables, such as the temperature and the growth of Listeria monocytogenes. The impacts of the input factors were calculated and ranked. It was found that the product's time-temperature history and the initial contamination level are the main causes of consumers' exposure. Then, a refined analysis was applied, revealing the importance of consumer behaviors on Listeria monocytogenes exposure. Copyright © 2014. Published by Elsevier B.V.

  16. Development of a sequential injection-liquid microextraction procedure with GC-FID for analysis of short-chain fatty acids in palm oil mill effluent.

    PubMed

    Pruksatrakul, Thapanee; Phoopraintra, Pattamaporn; Wilairat, Prapin; Chaiyen, Pimchai; Chantiwas, Rattikan

    2017-04-01

    Short-chain fatty acids, such as acetic, propionic, butyric, iso-valeric and valeric acids, play an important role in methanogenesis activity for biogas production processes. Thus, simple and rapid procedures for monitoring the levels of short-chain fatty acids are requisite for sustaining biogas production. This work presents the development of a sequential injection-liquid microextraction (SI-LME) procedure with GC-FID analysis for determination of short-chain fatty acids. GC-FID was employed for detection of the short-chain fatty acids. Calibration curves were linear with good coefficients of determination (r(2)>0.999), using methacrylic acid as the internal standard. Limits of quantification (LOQ) were in the range of 0.03-0.19mM. The SI-LME procedure employed tert-butyl methyl ether (TBME) as the extracting solvent. Various SI-LME conditions were investigated and optimized to obtain the highest recovery of extraction. With these optimized conditions, an extraction recovery of the five key short-chain fatty acids of 67-90% was obtained, with less than 2% RSD (n=3). The final SI-LME procedure employed two fluidic zones of TBME with a single aqueous fluidic zone of sample sandwiched between the TBME zones, with 5 cycles of flow reversal at a flow rate of 5µL/s for the extraction process. Intra- and inter-day precision values were 0.5-4.0% RSD and 3.3-4.8% RSD, respectively. Accuracy based on percentage of sample recovery were in the range of 69-96, 102-107, and 82-101% (n=4) for acetic, propionic and butyric acids, respectively. The proposed method was applied for the measurement of short-chain fatty acids in palm oil mill effluents used in biogas production in a factory performing palm oil extraction process. The SI-LME method provides improved extraction performance with high precision, and is both simple and rapid with its economical extraction technique. The SI-LME procedure with GC-FID has strong potential for use as a quality control process for monitoring

  17. IG and TR single chain fragment variable (scFv) sequence analysis: a new advanced functionality of IMGT/V-QUEST and IMGT/HighV-QUEST.

    PubMed

    Giudicelli, Véronique; Duroux, Patrice; Kossida, Sofia; Lefranc, Marie-Paule

    2017-06-26

    IMGT®, the international ImMunoGeneTics information system® ( http://www.imgt.org ), was created in 1989 in Montpellier, France (CNRS and Montpellier University) to manage the huge and complex diversity of the antigen receptors, and is at the origin of immunoinformatics, a science at the interface between immunogenetics and bioinformatics. Immunoglobulins (IG) or antibodies and T cell receptors (TR) are managed and described in the IMGT® databases and tools at the level of receptor, chain and domain. The analysis of the IG and TR variable (V) domain rearranged nucleotide sequences is performed by IMGT/V-QUEST (online since 1997, 50 sequences per batch) and, for next generation sequencing (NGS), by IMGT/HighV-QUEST, the high throughput version of IMGT/V-QUEST (portal begun in 2010, 500,000 sequences per batch). In vitro combinatorial libraries of engineered antibody single chain Fragment variable (scFv) which mimic the in vivo natural diversity of the immune adaptive responses are extensively screened for the discovery of novel antigen binding specificities. However the analysis of NGS full length scFv (~850 bp) represents a challenge as they contain two V domains connected by a linker and there is no tool for the analysis of two V domains in a single chain. The functionality "Analyis of single chain Fragment variable (scFv)" has been implemented in IMGT/V-QUEST and, for NGS, in IMGT/HighV-QUEST for the analysis of the two V domains of IG and TR scFv. It proceeds in five steps: search for a first closest V-REGION, full characterization of the first V-(D)-J-REGION, then search for a second V-REGION and full characterization of the second V-(D)-J-REGION, and finally linker delimitation. For each sequence or NGS read, positions of the 5'V-DOMAIN, linker and 3'V-DOMAIN in the scFv are provided in the 'V-orientated' sense. Each V-DOMAIN is fully characterized (gene identification, sequence description, junction analysis, characterization of mutations and amino

  18. Meta-Analysis of Structured Triglyceride versus Physical Mixture Medium- and Long-Chain Triglycerides for PN in Liver Resection Patients

    PubMed Central

    Zhao, Yajie

    2017-01-01

    Background The use of total parenteral nutrition can affect liver function, causing a series of problems such as cholestasis. The aim of this meta-analysis was to compare structured triglyceride- (STG-) based lipid emulsions with physical medium-chain triglyceride (MCT)/long-chain triglyceride (LCT) mixtures in patients who had undergone liver surgery to identify any differences between these two types of parenteral nutrition. Methods We searched the databases of PubMed, the Cochrane Library, Web of Science, EMBASE, and Chinese Biomedicine Database from January 2007 to March 2017 and included studies that compared STG-based lipid emulsions with physical MCT/LCT mixtures for surgical patients with liver disease. Conclusion The STG was more beneficial than physical MCT/LCT on recovery of liver function and immune function. Therefore, STGs may represent a promising alternative to other types of lipid emulsions for hepatic surgery patients. PMID:28932742

  19. Polymerase chain reaction-restriction fragment length polymorphism analysis of a 16S rRNA gene fragment for authentication of four clam species.

    PubMed

    Fernandez, Alicia; García, Teresa; Gonzalez, Isabel; Asensio, Luis; Rodriguez, Miguel Angel; Hernández, Pablo E; Martin, Rosario

    2002-04-01

    Specific identification of four clam species, Ruditapes decussatus (grooved carpet shell), Venerupis pullastra (pullet carpet shell), Ruditapes philippinarum (Japanese carpet shell), and Venerupis rhomboides (yellow carpet shell), was achieved by polymerase chain reaction-restriction fragment length polymorphism analysis of a fragment of the mitochondrial 16S rRNA gene. Amplification of DNA isolated from the foot muscle produced fragments of 511 bp for V. pullastra, 523 bp for R. decussatus, 545 bp for R. philippinarum, and 502 bp for V. rhomboides. The restriction profiles obtained by agarose gel electrophoresis when amplicons were digested with endonucleases BsmAI and BsrI allowed unequivocal identification of the four clam species. This approach would be less costly, simpler, and quicker than conventional sequencing of polymerase chain reaction products followed by detailed comparison of individual sequences, especially when large numbers of samples need to be analyzed.

  20. Sequence analysis of cDNAs encoding the heavy and light chain variable regions of a WSSV-neutralizing monoclonal antibody.

    PubMed

    Natividad, Karlo Dante T; Nomura, Nakao; Matsumura, Masatoshi

    2008-12-01

    Antibodies raised against individual viral envelope proteins have been used in white spot syndrome virus (WSSV) neutralization assays. We report here the sequence analysis of cDNAs encoding the variable regions of a novel monoclonal antibody that binds to the viral envelope protein and neutralizes WSSV infection. The heavy and light variable chains are most homologous to VH7183 germline gene (AF120472) and IgVk RF germline gene (AJ235936), respectively. Database searches using the derived sequences predicted residues comprising CDR loops. The 12 amino acid residue of the heavy chain CDR3 is rich in negatively charged aspartic acid (25%) and did not show significant homology to any murine V gene available on the database. This study provides insights on the paratope-epitope interaction and can be used to identify compounds with comparable properties as the paratope leading to future development of drugs and vaccines for WSSV infection.

  1. Meta-Analysis of Structured Triglyceride versus Physical Mixture Medium- and Long-Chain Triglycerides for PN in Liver Resection Patients.

    PubMed

    Zhao, Yajie; Wang, Chengfeng

    2017-01-01

    The use of total parenteral nutrition can affect liver function, causing a series of problems such as cholestasis. The aim of this meta-analysis was to compare structured triglyceride- (STG-) based lipid emulsions with physical medium-chain triglyceride (MCT)/long-chain triglyceride (LCT) mixtures in patients who had undergone liver surgery to identify any differences between these two types of parenteral nutrition. We searched the databases of PubMed, the Cochrane Library, Web of Science, EMBASE, and Chinese Biomedicine Database from January 2007 to March 2017 and included studies that compared STG-based lipid emulsions with physical MCT/LCT mixtures for surgical patients with liver disease. The STG was more beneficial than physical MCT/LCT on recovery of liver function and immune function. Therefore, STGs may represent a promising alternative to other types of lipid emulsions for hepatic surgery patients.

  2. Protein expression, crystallization and preliminary X-ray crystallographic analysis of chicken interferon-γ receptor α chain.

    PubMed

    Ping, Zhiguang; Shi, Yi; Sun, Yanling; Ma, Liping; Wang, Ming

    2012-01-01

    The activity of interferon-γ (IFN-γ) relies on signal transduction, which is triggered by combination with the receptors interferon-γ receptor α chain (IFNGR1) and β chain (IFNGR2). Native recombinant chicken IFNGR1 (chIFNGR1; residues 25-237) was overexpressed in Escherichia coli, purified by refolding and crystallized using the vapour-diffusion technique. The crystals belonged to space group P6(5)22, with unit-cell parameters a = b = 64.1, c = 216.3 Å, α = β = 90, γ = 120°. The Matthews coefficient and solvent content were calculated as 2.67 Å(3) Da(-1) and 53.97%, respectively. X-ray diffraction data for chIFNGR1 were collected to 2.0 Å resolution at a synchrotron source.

  3. Purification, crystallization, X-ray diffraction analysis and phasing of an engineered single-chain PvuII restriction endonuclease

    SciTech Connect

    Meramveliotaki, Chrysi; Kotsifaki, Dina; Androulaki, Maria; Hountas, Athanasios; Eliopoulos, Elias; Kokkinidis, Michael

    2007-10-01

    PvuII is the first type II restriction endonuclease to be converted from its wild-type homodimeric form into an enzymatically active single-chain variant. The enzyme was crystallized and phasing was successfully performed by molecular replacement. The restriction endonuclease PvuII from Proteus vulgaris has been converted from its wild-type homodimeric form into the enzymatically active single-chain variant scPvuII by tandemly joining the two subunits through the peptide linker Gly-Ser-Gly-Gly. scPvuII, which is suitable for the development of programmed restriction endonucleases for highly specific DNA cleavage, was purified and crystallized. The crystals diffract to a resolution of 2.35 Å and belong to space group P4{sub 2}, with unit-cell parameters a = b = 101.92, c = 100.28 Å and two molecules per asymmetric unit. Phasing was successfully performed by molecular replacement.

  4. Development of a Bioinformatics Framework for the Detection of Gene Conversion and the Analysis of Combinatorial Diversity in Immunoglobulin Heavy Chains in Four Cattle Breeds

    PubMed Central

    Czerny, Claus-Peter; König, Sven; Diesterbeck, Ulrike S.

    2016-01-01

    We have developed a new bioinformatics framework for the analysis of rearranged bovine heavy chain immunoglobulin (Ig) variable regions by combining and refining widely used alignment algorithms. This bioinformatics framework allowed us to investigate alignments of heavy chain framework regions (FRHs) and the separate alignments of FRHs and heavy chain complementarity determining regions (CDRHs) to determine their germline origin in the four cattle breeds Aubrac, German Black Pied, German Simmental, and Holstein Friesian. Now it is also possible to specifically analyze Ig heavy chains possessing exceptionally long CDR3Hs. In order to gain more insight into breed specific differences in Ig combinatorial diversity, somatic hypermutations and putative gene conversions of IgG, we compared the dominantly transcribed variable (IGHV), diversity (IGHD), and joining (IGHJ) segments and their recombination in the four cattle breeds. The analysis revealed the use of 15 different IGHV segments, 21 IGHD segments, and two IGHJ segments with significant different transcription levels within the breeds. Furthermore, there are preferred rearrangements within the three groups of CDR3H lengths. In the sequences of group 2 (CDR3H lengths (L) of 11–47 amino acid residues (aa)) a higher number of recombination was observed than in sequences of group 1 (L≤10 aa) and 3 (L≥48 aa). The combinatorial diversity of germline IGHV, IGHD, and IGHJ-segments revealed 162 rearrangements that were significantly different. The few preferably rearranged gene segments within group 3 CDR3H regions may indicate specialized antibodies because this length is unique in cattle. The most important finding of this study, which was enabled by using the bioinformatics framework, is the discovery of strong evidence for gene conversion as a rare event using pseudogenes fulfilling all definitions for this particular diversification mechanism. PMID:27828971

  5. Human laminin B2 chain

    SciTech Connect

    Pikkarainen, T.; Kallunki, T.; Tryggvason, K.

    1988-05-15

    The complete amino acid sequence of the human laminin B2 chains has been determined by sequencing of cDNA clones. The six overlapping clones studied cover approximately 7.5 kilobases of which 5312 nucleotides were sequenced from the 5' end. The open reading frame codes for a 33-residue signal peptide and a 1576-residue B2 chain proper, which is 189 residues less than in the highly homologous B1 chain. Computer analysis revealed that the B2 chain consists of distinct domains that contain helical structures, cysteine-rich repeats, and globular regions, as does the B1 chain. However, domain ..cap alpha.. and domain ..beta.. of the B1 chain have no counterpart in B2, and the number of cysteine-rich repeats is 12, or 1 less than in the B1 chain. The degree of homology between the two chains is highest in the cysteine repeat-containing domains III and V where 40% of the residues match. However, in helical domains I/II only 16% of residues match. The results demonstrate that the B1 and B2 chains of laminin are highly homologous proteins that are probably the products of related genes.

  6. The dynamic excitation of a granular chain for biomedical ultrasound applications: contact mechanics finite element analysis and validation

    NASA Astrophysics Data System (ADS)

    Gélat, P.; Yang, J.; Thomas, P. J.; Hutchins, D. A.; Akanji, O.; Davis, L. A. J.; Freear, S.; Harput, S.; Saffari, N.

    2016-01-01

    There has been recent interest in the transmission of acoustic signals along granular chains of spherical beads to produce waveforms of relevance to biomedical ultrasound applications. Hertzian contact between adjacent beads can introduce different harmonic content into the signal as it propagates. This transduction mechanism has the potential to be of use in both diagnostic and therapeutic ultrasound applications, and is the object of the study presented here. Although discrete dynamics models of this behaviour exist, a more comprehensive solution must be sought if changes in shape and deformation of individual beads are to be considered. Thus, the finite element method was used to investigate the dynamics of a granular chain of six, 1 mm diameter chrome steel spherical beads excited at one end using a sinusoidal displacement signal at 73 kHz. Output from this model was compared with the solution provided by the discrete dynamics model, and good overall agreement obtained. In addition, it was able to resolve the complex dynamics of the granular chain, including the multiple collisions which occur. It was demonstrated that under dynamic excitation conditions, the inability of discrete mechanics models to account for elastic deformation of the beads when these lose contact, could lead to discrepancies with experimental observations.

  7. Role of ribosomal protein S12 in peptide chain elongation: analysis of pleiotropic, streptomycin-resistant mutants of Escherichia coli.

    PubMed Central

    Zengel, J M; Young, R; Dennis, P P; Nomura, M

    1977-01-01

    Some of the spontaneous streptomycin-resistant mutants of Escherichia coli strain C600 exhibit pleiotropic effects in addition to the antibiotic resistance. These effects include decreased growth rates, reduced levels of certain enzymes, and poor support of bacteriophage growth. One of these mutants, strain SM3, was studied further. We have examined the question of whether the reduced growth rate of the mutant SM3 is related to the reduction in relative amounts of ribosomes or to the reduction in the efficiency of ribosomes in protein synthesis. Measurements of alpha, the differential synthesis rate of ribosomal protein, revealed that the protein synthesis effeciency of ribosomes from the mutant strain SM3 was reduced about twofold relative to that of the parent strain C600. Measurements of the induction lag for beta-galactosidase and of the synthesis time of several different molecular-weight classes of proteins indicated that the mutation resulted in a marked reduction in the peptide chain growth rate. This reduction in the chain growth rate probably accounted for most of the observed reduction in the growth rate of the mutant strain. These experimental results show that the strA gene product, the S12 protein of the 30S subunit, is involved in some aspect of protein chain elongation. Presumably this involvement occurs during the messenger ribonucleic acid-directed binding of transfer ribonucleic acid to the ribosome. PMID:321423

  8. Role of ribosomal protein S12 in peptide chain elongation: analysis of pleiotropic, streptomycin-resistant mutants of Escherichia coli.

    PubMed

    Zengel, J M; Young, R; Dennis, P P; Nomura, M

    1977-03-01

    Some of the spontaneous streptomycin-resistant mutants of Escherichia coli strain C600 exhibit pleiotropic effects in addition to the antibiotic resistance. These effects include decreased growth rates, reduced levels of certain enzymes, and poor support of bacteriophage growth. One of these mutants, strain SM3, was studied further. We have examined the question of whether the reduced growth rate of the mutant SM3 is related to the reduction in relative amounts of ribosomes or to the reduction in the efficiency of ribosomes in protein synthesis. Measurements of alpha, the differential synthesis rate of ribosomal protein, revealed that the protein synthesis effeciency of ribosomes from the mutant strain SM3 was reduced about twofold relative to that of the parent strain C600. Measurements of the induction lag for beta-galactosidase and of the synthesis time of several different molecular-weight classes of proteins indicated that the mutation resulted in a marked reduction in the peptide chain growth rate. This reduction in the chain growth rate probably accounted for most of the observed reduction in the growth rate of the mutant strain. These experimental results show that the strA gene product, the S12 protein of the 30S subunit, is involved in some aspect of protein chain elongation. Presumably this involvement occurs during the messenger ribonucleic acid-directed binding of transfer ribonucleic acid to the ribosome.

  9. Clathrin heavy chain, light chain interactions.

    PubMed Central

    Winkler, F K; Stanley, K K

    1983-01-01

    Purified pig brain clathrin can be reversibly dissociated and separated into heavy chain trimers and light chains in the presence of non-denaturing concentrations of the chaotrope thiocyanate. The isolated heavy chain trimers reassemble into regular polygonal cage structures in the absence of light chains. The light chain fraction can be further resolved into its two components L alpha and L beta which give different one-dimensional peptide maps. Radiolabelled light chains bind with high affinity (KD < 10(-10) M) to heavy chain trimers, to heavy chain cages and to a 110,000 mol. wt. tryptic fragment of the heavy chain. Both light chains compete with each other and with light chains from other sources for the same binding sites on heavy chains and c.d. spectroscopy shows that the two pig brain light chains possess very similar structures. We conclude that light chains from different sources, despite some heterogeneity, have a highly conserved, high affinity binding site on the heavy chain but are not essential for the formation of regular cage structures. Images Fig. 1. Fig. 2. Fig. 3. Fig. 4. Fig. 8. PMID:10872336

  10. A Value Chain Analysis of ghost nets in the Arafura Sea: identifying trans-boundary stakeholders, intervention points and livelihood trade-offs.

    PubMed

    Butler, J R A; Gunn, R; Berry, H L; Wagey, G A; Hardesty, B D; Wilcox, C

    2013-07-15

    Lost or discarded fishing nets are a significant component of marine debris which has trans-boundary impacts in large marine ecosystems. Such 'ghost nets' cause the by-catch of marine fauna and require retrieval from coastlines where they wash up. Identifying the causes of discarded nets and feasible intervention points requires analysis of a complex value chain and the stakeholders within it, yet no studies have attempted this. In this paper we combine Value Chain Analysis, commonly applied to understand value-adding for a commodity, with elements of Life Cycle Assessment and social network analysis to examine the drivers, stakeholders, economic, environmental and social costs and benefits in the life of a trawl net. We use the Arafura Sea as a case study, which is shared by Indonesia, Papua New Guinea and Australia, and is the focus of a Trans-boundary Diagnostic Assessment (TDA) within the Arafura-Timor Seas Ecosystem Action program (ATSEA). We follow a trawl net through four sub-systems: manufacture of webbing in South Korea, fishing and loss by an Indonesian vessel, retrieval as ghost net on the northern Australian coastline by Indigenous rangers, and disposal or re-cycling as 'GhostNet Art' by Indigenous artists. Primary stakeholders along the value chain incur economic and social benefits, and economic and environmental costs. There is an anomaly in the chain between Indonesian fishermen and Indigenous rangers, artists and communities due to the lack of market linkages between these primary stakeholders. The first 'nexus of influence' where reductions in net losses and environmental costs can be achieved is through interactions between GhostNets Australia, the World Wide Fund for Nature and the Australian Government, which can influence Indonesian fishery management institutions and fishing crews. The second nexus is via the international art market which by publicising GhostNet Art can raise awareness amongst fish consumers about the impacts of ghost nets

  11. An exploration of counterfeit medicine surveillance strategies guided by geospatial analysis: lessons learned from counterfeit Avastin detection in the US drug supply chain.

    PubMed

    Cuomo, Raphael E; Mackey, Tim K

    2014-12-02

    To explore healthcare policy and system improvements that would more proactively respond to future penetration of counterfeit cancer medications in the USA drug supply chain using geospatial analysis. A statistical and geospatial analysis of areas that received notices from the Food and Drug Administration (FDA) about the possibility of counterfeit Avastin penetrating the US drug supply chain. Data from FDA warning notices were compared to data from 44 demographic variables available from the US Census Bureau via correlation, means testing and geospatial visualisation. Results were interpreted in light of existing literature in order to recommend improvements to surveillance of counterfeit medicines. This study analysed 791 distinct healthcare provider addresses that received FDA warning notices across 30,431 zip codes in the USA. Statistical outputs were Pearson's correlation coefficients and t values. Geospatial outputs were cartographic visualisations. These data were used to generate the overarching study outcome, which was a recommendation for a strategy for drug safety surveillance congruent with existing literature on counterfeit medication. Zip codes with greater numbers of individuals age 65+ and greater numbers of ethnic white individuals were most correlated with receipt of a counterfeit Avastin notice. Geospatial visualisations designed in conjunction with statistical analysis of demographic variables appeared more capable of suggesting areas and populations that may be at risk for undetected counterfeit Avastin penetration. This study suggests that dual incorporation of statistical and geospatial analysis in surveillance of counterfeit medicine may be helpful in guiding efforts to prevent, detect and visualise counterfeit medicines penetrations in the US drug supply chain and other settings. Importantly, the information generated by these analyses could be utilised to identify at-risk populations associated with demographic characteristics

  12. An exploration of counterfeit medicine surveillance strategies guided by geospatial analysis: lessons learned from counterfeit Avastin detection in the US drug supply chain

    PubMed Central

    Cuomo, Raphael E; Mackey, Tim K

    2014-01-01

    Objective To explore healthcare policy and system improvements that would more proactively respond to future penetration of counterfeit cancer medications in the USA drug supply chain using geospatial analysis. Design A statistical and geospatial analysis of areas that received notices from the Food and Drug Administration (FDA) about the possibility of counterfeit Avastin penetrating the US drug supply chain. Data from FDA warning notices were compared to data from 44 demographic variables available from the US Census Bureau via correlation, means testing and geospatial visualisation. Results were interpreted in light of existing literature in order to recommend improvements to surveillance of counterfeit medicines. Setting/participants This study analysed 791 distinct healthcare provider addresses that received FDA warning notices across 30 431 zip codes in the USA. Outcomes Statistical outputs were Pearson's correlation coefficients and t values. Geospatial outputs were cartographic visualisations. These data were used to generate the overarching study outcome, which was a recommendation for a strategy for drug safety surveillance congruent with existing literature on counterfeit medication. Results Zip codes with greater numbers of individuals age 65+ and greater numbers of ethnic white individuals were most correlated with receipt of a counterfeit Avastin notice. Geospatial visualisations designed in conjunction with statistical analysis of demographic variables appeared more capable of suggesting areas and populations that may be at risk for undetected counterfeit Avastin penetration. Conclusions This study suggests that dual incorporation of statistical and geospatial analysis in surveillance of counterfeit medicine may be helpful in guiding efforts to prevent, detect and visualise counterfeit medicines penetrations in the US drug supply chain and other settings. Importantly, the information generated by these analyses could be utilised to identify at

  13. Exploration Supply Chain Simulation

    NASA Technical Reports Server (NTRS)

    2008-01-01

    The Exploration Supply Chain Simulation project was chartered by the NASA Exploration Systems Mission Directorate to develop a software tool, with proper data, to quantitatively analyze supply chains for future program planning. This tool is a discrete-event simulation that uses the basic supply chain concepts of planning, sourcing, making, delivering, and returning. This supply chain perspective is combined with other discrete or continuous simulation factors. Discrete resource events (such as launch or delivery reviews) are represented as organizational functional units. Continuous resources (such as civil service or contractor program functions) are defined as enabling functional units. Concepts of fixed and variable costs are included in the model to allow the discrete events to interact with cost calculations. The definition file is intrinsic to the model, but a blank start can be initiated at any time. The current definition file is an Orion Ares I crew launch vehicle. Parameters stretch from Kennedy Space Center across and into other program entities (Michaud Assembly Facility, Aliant Techsystems, Stennis Space Center, Johnson Space Center, etc.) though these will only gain detail as the file continues to evolve. The Orion Ares I file definition in the tool continues to evolve, and analysis from this tool is expected in 2008. This is the first application of such business-driven modeling to a NASA/government-- aerospace contractor endeavor.

  14. Calibration chain design based on integrating sphere transfer radiometer for SI-traceable on-orbit spectral radiometric calibration and its uncertainty analysis

    NASA Astrophysics Data System (ADS)

    Zhao, Wei-Ning; Fang, Wei; Sun, Li-Wei; Cui, Li-Hong; Wang, Yu-Peng

    2016-09-01

    In order to satisfy the requirement of SI-traceable on-orbit absolute radiation calibration transfer with high accuracy for satellite remote sensors, a transfer chain consisting of a fiber coupling monochromator (FBM) and an integrating sphere transfer radiometer (ISTR) was designed in this paper. Depending on the Sun, this chain based on detectors provides precise spectral radiometric calibration and measurement to spectrometers in the reflective solar band (RSB) covering 300-2500 nm with a spectral bandwidth of 0.5-6 nm. It shortens the traditional chain based on lamp source and reduces the calibration uncertainty from 5% to 0.5% by using the cryogenic radiometer in space as a radiometric benchmark and trap detectors as secondary standard. This paper also gives a detailed uncertainty budget with reasonable distribution of each impact factor, including the weak spectral signal measurement with uncertainty of 0.28%. According to the peculiar design and comprehensive uncertainty analysis, it illustrates that the spectral radiance measurement uncertainty of the ISTR system can reach to 0.48%. The result satisfies the requirements of SI-traceable on-orbit calibration and has wider significance for expanding the application of the remote sensing data with high-quality. Project supported by the National Natural Science Foundation of China (Grant No. 41474161) and the National High-Technology Program of China (Grant No. 2015AA123703).

  15. Side-chain conformational space analysis (SCSA): a multi conformation-based QSAR approach for modeling and prediction of protein-peptide binding affinities.

    PubMed

    Zhou, Peng; Chen, Xiang; Shang, Zhicai

    2009-03-01

    In this article, the concept of multi conformation-based quantitative structure-activity relationship (MCB-QSAR) is proposed, and based upon that, we describe a new approach called the side-chain conformational space analysis (SCSA) to model and predict protein-peptide binding affinities. In SCSA, multi-conformations (rather than traditional single-conformation) have received much attention, and the statistical average information on multi-conformations of side chains is determined using self-consistent mean field theory based upon side chain rotamer library. Thereby, enthalpy contributions (including electrostatic, steric, hydrophobic interaction and hydrogen bond) and conformational entropy effects to the binding are investigated in terms of occurrence probability of residue rotamers. Then, SCSA was applied into the dataset of 419 HLA-A 0201 binding peptides, and nonbonding contributions of each position in peptide ligands are well determined. For the peptides, the hydrogen bond and electrostatic interactions of the two ends are essential to the binding specificity, van der Waals and hydrophobic interactions of all the positions ensure strong binding affinity, and the loss of conformational entropy at anchor positions partially counteracts other favorable nonbonding effects.

  16. Interchain coupled chain dynamics of poly(ethylene oxide) in blends with poly(methyl methacrylate): Coupling model analysis

    NASA Astrophysics Data System (ADS)

    Ngai, K. L.; Wang, Li-Min

    2011-11-01

    Quasielastic neutron scattering and molecular dynamics simulation data from poly(ethylene oxide) (PEO)/poly(methyl methacrylate) (PMMA) blends found that for short times the self-dynamics of PEO chain follows the Rouse model, but at longer times past tc = 1-2 ns it becomes slower and departs from the Rouse model in dependences on time, momentum transfer, and temperature. To explain the anomalies, others had proposed the random Rouse model (RRM) in which each monomer has different mobility taken from a broad log-normal distribution. Despite the success of the RRM, Diddens et al. [Eur. Phys. Lett. 95, 56003 (2011)] extracted the distribution of friction coefficients from the MD simulations of a PEO/PMMA blend and found that the distribution is much narrower than expected from the RRM. We propose a simpler alternative explanation of the data by utilizing alone the observed crossover of PEO chain dynamics at tc. The present problem is just a special case of a general property of relaxation in interacting systems, which is the crossover from independent relaxation to coupled many-body relaxation at some tc determined by the interaction potential and intermolecular coupling/constraints. The generality is brought out vividly by pointing out that the crossover also had been observed by neutron scattering from entangled chains relaxation in monodisperse homopolymers, and from the segmental α-relaxation of PEO in blends with PMMA. The properties of all the relaxation processes in connection with the crossover are similar, despite the length scales of the relaxation in these systems are widely different.

  17. Interchain coupled chain dynamics of poly(ethylene oxide) in blends with poly(methyl methacrylate): coupling model analysis.

    PubMed

    Ngai, K L; Wang, Li-Min

    2011-11-21

    Quasielastic neutron scattering and molecular dynamics simulation data from poly(ethylene oxide) (PEO)/poly(methyl methacrylate) (PMMA) blends found that for short times the self-dynamics of PEO chain follows the Rouse model, but at longer times past t(c) = 1-2 ns it becomes slower and departs from the Rouse model in dependences on time, momentum transfer, and temperature. To explain the anomalies, others had proposed the random Rouse model (RRM) in which each monomer has different mobility taken from a broad log-normal distribution. Despite the success of the RRM, Diddens et al. [Eur. Phys. Lett. 95, 56003 (2011)] extracted the distribution of friction coefficients from the MD simulations of a PEO/PMMA blend and found that the distribution is much narrower than expected from the RRM. We propose a simpler alternative explanation of the data by utilizing alone the observed crossover of PEO chain dynamics at t(c). The present problem is just a special case of a general property of relaxation in interacting systems, which is the crossover from independent relaxation to coupled many-body relaxation at some t(c) determined by the interaction potential and intermolecular coupling/constraints. The generality is brought out vividly by pointing out that the crossover also had been observed by neutron scattering from entangled chains relaxation in monodisperse homopolymers, and from the segmental α-relaxation of PEO in blends with PMMA. The properties of all the relaxation processes in connection with the crossover are similar, despite the length scales of the relaxation in these systems are widely different.

  18. Static network analysis of a pork supply chain in Northern Germany-Characterisation of the potential spread of infectious diseases via animal movements.

    PubMed

    Büttner, Kathrin; Krieter, Joachim; Traulsen, Arne; Traulsen, Imke

    2013-07-01

    Transport of live animals is a major risk factor in the spread of infectious diseases between holdings. The present study analysed the pork supply chain of a producer community in Northern Germany. The structure of trade networks can be characterised by carrying out a network analysis. To identify holdings with a central position in this directed network of pig production, several parameters describing these properties were measured (in-degree, out-degree, ingoing and outgoing infection chain, betweenness centrality and ingoing and outgoing closeness centrality). To obtain the importance of the different holding types (multiplier, farrowing farms, finishing farms and farrow-to-finishing farms) within the pyramidal structure of the pork supply chain, centrality parameters were calculated for the entire network as well as for the individual holding types. Using these centrality parameters, two types of holdings could be identified. In the network studied, finishing and farrow-to-finishing farms were more likely to be infected due to the high number of ingoing trade contacts. Due to the high number of outgoing trade contacts multipliers and farrowing farms had an increased risk to spread a disease to other holdings. However, the results of the centrality parameters degree and infection chain were not always consistent, such that the indirect trade contacts should be taken into consideration to understand the real importance of a holding in spreading or contracting an infection. Furthermore, all calculated parameters showed a highly right-skewed distribution. Networks with such a degree distribution are considered to be highly resistant concerning the random removal of nodes. But by strategic removal of the most central holdings, e.g. by trade restrictions or selective vaccination or culling, the network structure can be changed efficiently and thus decompose into fragments. Such a fragmentation of the trade networks is of particular importance from an epidemiological

  19. A Comparison of Bayesian Monte Carlo Markov Chain and Maximum Likelihood Estimation Methods for the Statistical Analysis of Geodetic Time Series

    NASA Astrophysics Data System (ADS)

    Olivares, G.; Teferle, F. N.

    2013-12-01

    Geodetic time series provide information which helps to constrain theoretical models of geophysical processes. It is well established that such time series, for example from GPS, superconducting gravity or mean sea level (MSL), contain time-correlated noise which is usually assumed to be a combination of a long-term stochastic process (characterized by a power-law spectrum) and random noise. Therefore, when fitting a model to geodetic time series it is essential to also estimate the stochastic parameters beside the deterministic ones. Often the stochastic parameters include the power amplitudes of both time-correlated and random noise, as well as, the spectral index of the power-law process. To date, the most widely used method for obtaining these parameter estimates is based on maximum likelihood estimation (MLE). We present an integration method, the Bayesian Monte Carlo Markov Chain (MCMC) method, which, by using Markov chains, provides a sample of the posteriori distribution of all parameters and, thereby, using Monte Carlo integration, all parameters and their uncertainties are estimated simultaneously. This algorithm automatically optimizes the Markov chain step size and estimates the convergence state by spectral analysis of the chain. We assess the MCMC method through comparison with MLE, using the recently released GPS position time series from JPL and apply it also to the MSL time series from the Revised Local Reference data base of the PSMSL. Although the parameter estimates for both methods are fairly equivalent, they suggest that the MCMC method has some advantages over MLE, for example, without further computations it provides the spectral index uncertainty, is computationally stable and detects multimodality.

  20. Exploratory analysis of fast-food chain restaurant menus before and after implementation of local calorie-labeling policies, 2005-2011.

    PubMed

    Namba, Alexa; Auchincloss, Amy; Leonberg, Beth L; Wootan, Margo G

    2013-06-20

    Since 2008, several states and municipalities have implemented regulations requiring provision of nutrition information at chain restaurants to address obesity. Although early research into the effect of such labels on consumer decisions has shown mixed results, little information exists on the restaurant industry's response to labeling. The objective of this exploratory study was to evaluate the effect of menu labeling on fast-food menu offerings over 7 years, from 2005 through 2011. Menus from 5 fast-food chains that had outlets in jurisdictions subject to menu-labeling laws (cases) were compared with menus from 4 fast-food chains operating in jurisdictions not requiring labeling (controls). A trend analysis assessed whether case restaurants improved the healthfulness of their menus relative to the control restaurants. Although the overall prevalence of "healthier" food options remained low, a noteworthy increase was seen after 2008 in locations with menu-labeling laws relative to those without such laws. Healthier food options increased from 13% to 20% at case locations while remaining static at 8% at control locations (test for difference in the trend, P = .02). Since 2005, the average calories for an à la carte entrée remained moderately high (approximately 450 kilocalories), with less than 25% of all entrées and sides qualifying as healthier and no clear systematic differences in the trend between chain restaurants in case versus control areas (P ≥ .50). These findings suggest that menu labeling has thus far not affected the average nutritional content of fast-food menu items, but it may motivate restaurants to increase the availability of healthier options.

  1. Exploratory Analysis of Fast-Food Chain Restaurant Menus Before and After Implementation of Local Calorie-Labeling Policies, 2005–2011

    PubMed Central

    Namba, Alexa; Leonberg, Beth L.; Wootan, Margo G.

    2013-01-01

    Introduction Since 2008, several states and municipalities have implemented regulations requiring provision of nutrition information at chain restaurants to address obesity. Although early research into the effect of such labels on consumer decisions has shown mixed results, little information exists on the restaurant industry’s response to labeling. The objective of this exploratory study was to evaluate the effect of menu labeling on fast-food menu offerings over 7 years, from 2005 through 2011. Methods Menus from 5 fast-food chains that had outlets in jurisdictions subject to menu-labeling laws (cases) were compared with menus from 4 fast-food chains operating in jurisdictions not requiring labeling (controls). A trend analysis assessed whether case restaurants improved the healthfulness of their menus relative to the control restaurants. Results Although the overall prevalence of “healthier” food options remained low, a noteworthy increase was seen after 2008 in locations with menu-labeling laws relative to those without such laws. Healthier food options increased from 13% to 20% at case locations while remaining static at 8% at control locations (test for difference in the trend, P = .02). Since 2005, the average calories for an à la carte entrée remained moderately high (approximately 450 kilocalories), with less than 25% of all entrées and sides qualifying as healthier and no clear systematic differences in the trend between chain restaurants in case versus control areas (P ≥ .50). Conclusion These findings suggest that menu labeling has thus far not affected the average nutritional content of fast-food menu items, but it may motivate restaurants to increase the availability of healthier options. PMID:23786908

  2. Side Chain Conformational Distributions of a Small Protein Derived from Model-Free Analysis of a Large Set of Residual Dipolar Couplings.

    PubMed

    Li, Fang; Grishaev, Alexander; Ying, Jinfa; Bax, Ad

    2015-11-25

    Accurate quantitative measurement of structural dispersion in proteins remains a prime challenge to both X-ray crystallography and NMR spectroscopy. Here we use a model-free approach based on measurement of many residual dipolar couplings (RDCs) in differentially orienting aqueous liquid crystalline solutions to obtain the side chain χ1 distribution sampled by each residue in solution. Applied to the small well-ordered model protein GB3, our approach reveals that the RDC data are compatible with a single narrow distribution of side chain χ1 angles for only about 40% of the residues. For more than half of the residues, populations greater than 10% for a second rotamer are observed, and four residues require sampling of three rotameric states to fit the RDC data. In virtually all cases, sampled χ1 values are found to center closely around ideal g(-), g(+) and t rotameric angles, even though no rotamer restraint is used when deriving the sampled angles. The root-mean-square difference between experimental (3)JHαHβ couplings and those predicted by the Haasnoot-parametrized, motion-adjusted Karplus equation reduces from 2.05 to 0.75 Hz when using the new rotamer analysis instead of the 1.1-Å X-ray structure as input for the dihedral angles. A comparison between observed and predicted (3)JHαHβ values suggests that the root-mean-square amplitude of χ1 angle fluctuations within a given rotamer well is ca. 20°. The quantitatively defined side chain rotamer equilibria obtained from our study set new benchmarks for evaluating improved molecular dynamics force fields, and also will enable further development of quantitative relations between side chain chemical shift and structure.

  3. Implementation of electronic chain-of-custody, analysis requests, and data verification at Los Alamos National Laboratory

    SciTech Connect

    Pound, H.C.; Miglio, J.J.

    1994-09-01

    To improve the efficiency of the entire environmental data collection process from sample collection to reporting to the client, Los Alamos National Laboratory is developing an automated system to carry out as much of the process as possible. The system uses {open_quotes}off-the-shelf{close_quotes} software. Our program anticipates a drastic reduction of the amount of paper generated throughout the process. The electronic system includes spreadsheets used for field and laboratory chains-of-custody. In addition, the system is used to order analyses and to verify data for compliance.

  4. A Source-Model Technique for analysis of wave guiding along chains of metallic nanowires in layered media.

    PubMed

    Szafranek, Dana; Leviatan, Yehuda

    2011-12-05

    A method for determining the modes that can be guided along infinite chains of metallic nanowires when they are embedded, as in most realistic set-ups, in layered media is presented. The method is based on a rigorous full-wave frequency-domain Source-Model Technique (SMT). The method allows efficient determination of the complex propagation constants and the surface-plasmon type modal fields. Sample results are presented for silver nanowires with circular and triangle-like cross-sections lying in an air-Si-glass layered structure.

  5. Identification of 'carbon hot-spots' and quantification of GHG intensities in the biodiesel supply chain using hybrid LCA and structural path analysis.

    PubMed

    Acquaye, Adolf A; Wiedmann, Thomas; Feng, Kuishang; Crawford, Robert H; Barrett, John; Kuylenstierna, Johan; Duffy, Aidan P; Koh, S C Lenny; McQueen-Mason, Simon

    2011-03-15

    It is expected that biodiesel production in the EU will remain the dominant contributor as part of a 10% minimum binding target for biofuel in transportation fuel by 2020 within the 20% renewable energy target in the overall EU energy mix. Life cycle assessments (LCA) of biodiesel to evaluate its environmental impacts have, however, remained questionable, mainly because of the adoption of a traditional process analysis approach resulting in system boundary truncation and because of issues regarding the impacts of land use change and N(2)O emissions from fertilizer application. In this study, a hybrid LCA methodology is used to evaluate the life cycle CO(2) equivalent emissions of rape methyl ester (RME) biodiesel. The methodology uses input-output analysis to estimate upstream indirect emissions in order to complement traditional process LCA in a hybrid framework. It was estimated that traditional LCA accounted for 2.7 kg CO(2)-eq per kg of RME or 36.6% of total life cycle emissions of the RME supply chin. Further to the inclusion of upstream indirect impacts in the LCA system (which accounted for 23% of the total life cycle emissions), emissions due to direct land use change (6%) and indirect land use change (16.5%) and N(2)O emissions from fertilizer applications (17.9%) were also calculated. Structural path analysis is used to decompose upstream indirect emissions paths of the biodiesel supply chain in order to identify, quantify, and rank high carbon emissions paths or 'hot-spots' in the biodiesel supply chain. It was shown, for instance, that inputs from the 'Other Chemical Products' sector (identified as phosphoric acid, H(3)PO(4)) into the biodiesel production process represented the highest carbon emission path (or hot-spot) with 5.35% of total upstream indirect emissions of the RME biodiesel supply chain.

  6. Application of a bi-stable chain model for the analysis of jerky twin boundary motion in NiMnGa

    NASA Astrophysics Data System (ADS)

    Benichou, Itamar; Faran, Eilon; Shilo, Doron; Givli, Sefi

    2013-01-01

    The "jerky" motion of a twin boundary in the ferromagnetic shape memory alloy NiMnGa is studied experimentally and theoretically. We employ a bi-stable chain model in order to interpret macroscopic stress-strain experiments and extract important micro-level properties. The analysis reveals the existence of a periodic barrier for type I twin boundary motion with an average distance of 19 μm and amplitude of 0.16 J/m2. Further, we show that the macroscopic mechanical response depends on the length of the crystal and predict a significant decrease of the hysteresis in sub-mm length specimens.

  7. A facile and fully automated on-fiber derivatization protocol for direct analysis of short-chain aliphatic amines using a matrix compatible solid-phase microextraction coating.

    PubMed

    Gionfriddo, Emanuela; Passarini, Alice; Pawliszyn, Janusz

    2016-07-29

    Solid-phase microextraction (SPME) analysis of short-chain aliphatic amines (C3-C6) in aqueous solutions was investigated using pentafluorobenzaldehyde (PFBAY) as on-fiber derivatization reagent. A standard gas generating vial agent was used for on-fiber loading of the derivatization agent so as to avoid the need for its regeneration at each derivatization cycle. Several parameters such as loading time, reaction temperature, and reaction/extraction time were optimized for headspace and direct sampling in aqueous solutions. Three different coating chemistries were tested and their performances compared in order to achieve the best compromise between sensitivity and analysis throughput. The newly developed PDMS/DVB/PDMS coating showed superior performance in terms of extraction efficiency while the capability to prevent on-fiber degradation of the derivatizing products. The optimized method was used for quantitation of short-chain aliphatic amines in aqueous samples and provided detection limits in the low ppb range for all the amines tested with accuracy values between 79 and 120%. The method was applied towards the analysis of environmental water samples and the accuracy of the results was evaluated by different calibration approaches. Copyright © 2016 Elsevier B.V. All rights reserved.

  8. A Unique Primer with an Inosine Chain at the 5′-Terminus Improves the Reliability of SNP Analysis Using the PCR-Amplified Product Length Polymorphism Method

    PubMed Central

    Shojo, Hideki; Tanaka, Mayumi; Takahashi, Ryohei; Kakuda, Tsuneo; Adachi, Noboru

    2015-01-01

    Polymerase chain reaction-amplified product length polymorphism (PCR-APLP) is one of the most convenient and reliable methods for single nucleotide polymorphism (SNP) analysis. This method is based on PCR, but uses allele-specific primers containing SNP sites at the 3′-terminus of each primer. To use this method at least two allele-specific primers and one “counter-primer”, which serves as a common forward or reverse primer of the allele-specific primers, are required. The allele-specific primers have SNP sites at the 3′-terminus, and another primer should have a few non-complementary flaps at the 5′-terminus to detect SNPs by determining the difference of amplicon length by PCR and subsequent electrophoresis. A major disadvantage of the addition of a non-complementary flap is the non-specific annealing of the primer with non-complementary flaps. However, a design principle for avoiding this undesired annealing has not been fully established, therefore, it is often difficult to design effective APLP primers. Here, we report allele-specific primers with an inosine chain at the 5′-terminus for PCR-APLP analysis. This unique design improves the competitiveness of allele-specific primers and the reliability of SNP analysis when using the PCR-APLP method. PMID:26381262

  9. A Unique Primer with an Inosine Chain at the 5'-Terminus Improves the Reliability of SNP Analysis Using the PCR-Amplified Product Length Polymorphism Method.

    PubMed

    Shojo, Hideki; Tanaka, Mayumi; Takahashi, Ryohei; Kakuda, Tsuneo; Adachi, Noboru

    2015-01-01

    Polymerase chain reaction-amplified product length polymorphism (PCR-APLP) is one of the most convenient and reliable methods for single nucleotide polymorphism (SNP) analysis. This method is based on PCR, but uses allele-specific primers containing SNP sites at the 3'-terminus of each primer. To use this method at least two allele-specific primers and one "counter-primer", which serves as a common forward or reverse primer of the allele-specific primers, are required. The allele-specific primers have SNP sites at the 3'-terminus, and another primer should have a few non-complementary flaps at the 5'-terminus to detect SNPs by determining the difference of amplicon length by PCR and subsequent electrophoresis. A major disadvantage of the addition of a non-complementary flap is the non-specific annealing of the primer with non-complementary flaps. However, a design principle for avoiding this undesired annealing has not been fully established, therefore, it is often difficult to design effective APLP primers. Here, we report allele-specific primers with an inosine chain at the 5'-terminus for PCR-APLP analysis. This unique design improves the competitiveness of allele-specific primers and the reliability of SNP analysis when using the PCR-APLP method.

  10. Analysis of chain saw lubricating oils commonly used in Thailand's southern border provinces for forensic science purpose.

    PubMed

    Choodum, Aree; Tripuwanard, Kijja; Daeid, Niamh Nic

    2014-08-01

    In recent years, Thailand's southern border provinces (Malay-Muslim-majority border provinces) have become the scene of violence and insurgency. One of the attack patterns is the blocking of roads with perennial plants followed by planned attacks using improvised explosive devices (IEDs) or weapons on first responders. Containers of viscous dark lubricating oil and traces of lubricants on the felled trees were usually found at the scene. These were suspected to be chain oil lubricant from the chainsaws used to cut down the trees used for the roadblock. This work aimed to differentiate the chromatographic patterns of used lubricating oils available in automobile repair shops from various locations across Thailand's southern border provinces. Lubricating oils were analyzed using gas chromatography/flame ionization detector (GC/FID) every two weeks to study their variation in chemical compositions over time. The results obtained from GC/FID were normalized for differentiation. This included four two-stroke, six four-stroke, and three recycled oils. Two lubricating oils found at an incident scene were also analyzed and the results compared with the chain oil from five seized chainsaws. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

  11. Histopathological analysis of B-cell non-Hodgkin lymphomas without light chain restriction by using flow cytometry.

    PubMed

    Ohmoto, Akihiro; Maeshima, Akiko Miyagi; Taniguchi, Hirokazu; Tanioka, Kensaku; Makita, Shinichi; Kitahara, Hideaki; Fukuhara, Suguru; Munakata, Wataru; Suzuki, Tatsuya; Maruyama, Dai; Kobayashi, Yukio; Tobinai, Kensei

    2015-01-01

    Detection of immunoglobulin light chain restriction (LCR) by flow cytometry (FCM) is a useful tool for B-cell non-Hodgkin lymphoma (B-NHL) diagnosis. Here, we identified B-NHLs without LCR by FCM and investigated the pathological causes for lack of LCR. A total of 89/471 cases (19%) of B-NHL were LCR-negative. The incidence of lack of LCR was 30% both in diffuse large B-cell lymphoma (DLBCL) and marginal zone lymphoma (MZL), and was 6% in follicular lymphoma (FL). In DLBCL cases, low expression of surface membrane light chain (33%), low proportion of lymphoma cells (11%), CD45 negativity (9%), and destruction or sampling error were suggested as reasons for lack of LCR. In MZL cases, the low proportion of lymphoma cells owing to admixture of many reactive germinal centres, and non-detection of plasmacytoid lymphoma cells by CD45 gating might be the reasons. Based on pathological subtypes, the frequency and reasons for lack of LCR by FCM varied.

  12. Electronic charge density analysis of Li-doped polyacetylene: molecular vs periodic descriptions and nature of Li-to-chain bonding.

    PubMed

    Hô, Minhhuy; Navarrete-López, Alejandra M; Zicovich-Wilson, Claudio M; Ramírez-Solís, Alejandro

    2013-01-17

    A detailed analysis of the electronic structure and charge distribution around the trigonal site of Li-doped polyacetylene is reported using finite chain and periodic descriptions of the polymer. Atoms-in-molecules (AIM) analysis is done to characterize the nature of the bond between Li and the polymer backbone through the location of the bond critical points and computation of the total charge on the atomic basins around the doping site. We find that the Li atom donates practically one electron to the π-system, in accordance with the classical Su-Schriffer-Heeger model. However, despite that the Li atom is equidistant from the three closest C atoms in the geometric soliton, a single Li-C bond critical point is found. The AIM quantitative analysis of the electronic density reveals that the Li(+) ion is immersed into the polymer π-cloud in a way that resembles a metallic bonding interaction.

  13. Integrated Markov Chain Monte Carlo (MCMC) analysis of primordial non-Gaussianity (f{sub NL}) in the recent CMB data

    SciTech Connect

    Kim, Jaiseung

    2011-04-01

    We have made a Markov Chain Monte Carlo (MCMC) analysis of primordial non-Gaussianity (f{sub NL}) using the WMAP bispectrum and power spectrum. In our analysis, we have simultaneously constrained f{sub NL} and cosmological parameters so that the uncertainties of cosmological parameters can properly propagate into the f{sub NL} estimation. Investigating the parameter likelihoods deduced from MCMC samples, we find slight deviation from Gaussian shape, which makes a Fisher matrix estimation less accurate. Therefore, we have estimated the confidence interval of f{sub NL} by exploring the parameter likelihood without using the Fisher matrix. We find that the best-fit values of our analysis make a good agreement with other results, but the confidence interval is slightly different.

  14. Application of LightCycler polymerase chain reaction and melting curve analysis to the authentication of the traditional Chinese medicinal plant Cimicifuga foetida.

    PubMed

    Xue, Chun-Ying; Li, De-Zhu; Wang, Qing-Zhong

    2009-06-01

    DNA sequence analysis of rDNA internal transcribed spacer (ITS) and fluorescence melting curve analysis of LightCycler real-time polymerase chain reaction products were exploited for their applications in the authentication of the traditional Chinese medicinal plant Cimicifuga foetida from four substitutes: C. heracleifolia, C. dahurica, C. acerina, and C. simplex. According to the melting temperature--which is a function of the GC/AT ratio, length, and nucleotide sequences of the amplified product--C. foetida was differentiated from C. heracleifolia, C. dahurica, C. acerina, and C. simplex. Melting curve analysis offers a rapid and reliable method for the authentication of the traditional Chinese medicinal plant C. foetida.

  15. Performance of Polymerase Chain Reaction Analysis of the Amniotic Fluid of Pregnant Women for Diagnosis of Congenital Toxoplasmosis: A Systematic Review and Meta-Analysis

    PubMed Central

    2016-01-01

    Introduction Congenital infection caused by Toxoplasma gondii can cause serious damage that can be diagnosed in utero or at birth, although most infants are asymptomatic at birth. Prenatal diagnosis of congenital toxoplasmosis considerably improves the prognosis and outcome for infected infants. For this reason, an assay for the quick, sensitive, and safe diagnosis of fetal toxoplasmosis is desirable. Goal To systematically review the performance of polymerase chain reaction (PCR) analysis of the amniotic fluid of pregnant women with recent serological toxoplasmosis diagnoses for the diagnosis of fetal toxoplasmosis. Method A systematic literature review was conducted via a search of electronic databases; the literature included primary studies of the diagnostic accuracy of PCR analysis of amniotic fluid from pregnant women who seroconverted during pregnancy. The PCR test was compared to a gold standard for diagnosis. Results A total of 1.269 summaries were obtained from the electronic database and reviewed, and 20 studies, comprising 4.171 samples, met the established inclusion criteria and were included in the review. The following results were obtained: studies about PCR assays for fetal toxoplasmosis are generally susceptible to bias; reports of the tests’ use lack critical information; the protocols varied among studies; the heterogeneity among studies was concentrated in the tests’ sensitivity; there was evidence that the sensitivity of the tests increases with time, as represented by the trimester; and there was more heterogeneity among studies in which there was more time between maternal diagnosis and fetal testing. The sensitivity of the method, if performed up to five weeks after maternal diagnosis, was 87% and specificity was 99%. Conclusion The global sensitivity heterogeneity of the PCR test in this review was 66.5% (I2). The tests show low evidence of heterogeneity with a sensitivity of 87% and specificity of 99% when performed up to five weeks

  16. Backcountry Adventure as Spiritual Development: A Means-End Study

    ERIC Educational Resources Information Center

    Marsh, Paul E.

    2008-01-01

    What do people mean when they describe backcountry adventure experiences as being "spiritual"? Spiritual aspects of adventure experiences in the wilderness have been recounted anecdotally and recognized in research. This body of research, however, has left the definition of the term spiritual to the individual participants, and has not…

  17. The Surface and Interior Evolution of Ceres Revealed by Analysis of Fractures and Secondary Crater Chains Using Dawn Data

    NASA Astrophysics Data System (ADS)

    Scully, J. E. C.; Buczkowski, D.; King, S. D.; Castillo, J. C.; Schmedemann, N.; Raymond, C. A.; O'Brien, D. P.; Marchi, S.; Russell, C. T.; Mitri, G.; Bland, M. T.

    2016-12-01

    Dawn is the first spacecraft to visit and orbit Ceres, a dwarf planet and the largest body in the asteroid belt (radius 470 km) (Russell et al., 2016). Previously, telescopic observations and thermal evolution modeling indicated Ceres was at least partially differentiated, with a density of 2,100 kg/m3 (e.g. Drummond et al., 2014; Castillo-Rogez & McCord, 2010). Moreover, models of crater retention predicted that pervasive viscous relaxation in a water-ice-rich outer layer could erase most surface features (Bland, 2013). However, a full understanding of Ceres' surface and interior evolution remained elusive until Dawn explored Ceres. Here we present a global geologic map of Ceres' ≥1 km wide linear features, which we interpret as: 1) the surface expression of subsurface fractures, and 2) secondary crater chains formed when material ejected during impact-crater formation impacts and scours the surface. The formation and preservation of these linear features indicate Ceres' outer layer is relatively strong, and not dominated by viscous relaxation as predicted (Buczkowski et al., 2016). The fractures (called the Samhain Catenae) give us insights into the interior. Based on a fracture spacing to fractured layer thickness ratio of 1 (Bai & Pollard, 2000), the spacing of the Samhain Catenae indicates that the outer, fractured layer is 88 km thick. Moreover, consistent with geodynamic modeling (King et al., 2016), we interpret the Samhain Catenae formed because of uplift and extension induced by an upwelling region. Unlike many cerean secondary crater chains, the Junina Catenae secondary crater chains are not radial to their source impact crater(s). On account of Ceres' fast rotation (period of 9 hours) and relatively small radius, modeling indicates that the Junina Catenae originated from the Urvara/Yalode impact craters, which are located in a different hemisphere. Our results show Ceres has different surface and interior characteristics than predicted, and underwent

  18. Food Chain Security and Vulnerability

    NASA Astrophysics Data System (ADS)

    Brunet, Sébastien; Delvenne, Pierre; Claisse, Frédéric

    In our contemporary societies, the food chain could be defined as a macro-technical system, which depends on a wide variety of actors and risks analysis methods. In this contribution, risks related to the food chain are defined in terms of "modern risks" (Beck 1992). The whole national economic sector of food production/distribution is vulnerable to a local accident, which can affect the functioning of food chain, the export programs and even the political system. Such a complex socio-technical environment is undoubtedly vulnerable to intentional act such as terrorism.

  19. Development and interlaboratory validation of quantitative polymerase chain reaction method for screening analysis of genetically modified soybeans.

    PubMed

    Takabatake, Reona; Onishi, Mari; Koiwa, Tomohiro; Futo, Satoshi; Minegishi, Yasutaka; Akiyama, Hiroshi; Teshima, Reiko; Kurashima, Takeyo; Mano, Junichi; Furui, Satoshi; Kitta, Kazumi

    2013-01-01

    A novel real-time polymerase chain reaction (PCR)-based quantitative screening method was developed for three genetically modified soybeans: RRS, A2704-12, and MON89788. The 35S promoter (P35S) of cauliflower mosaic virus is introduced into RRS and A2704-12 but not MON89788. We then designed a screening method comprised of the combination of the quantification of P35S and the event-specific quantification of MON89788. The conversion factor (Cf) required to convert the amount of a genetically modified organism (GMO) from a copy number ratio to a weight ratio was determined experimentally. The trueness and precision were evaluated as the bias and reproducibility of relative standard deviation (RSDR), respectively. The determined RSDR values for the method were less than 25% for both targets. We consider that the developed method would be suitable for the simple detection and approximate quantification of GMO.

  20. Mitochondrial DNA variation in chinook salmon and chum salmon detected by restriction enzyme analysis of polymerase chain reaction products

    USGS Publications Warehouse

    Cronin, M.; Spearman, R.; Wilmot, R.; Patton, J.; Bickman, J.

    1993-01-01

    We analyze intraspecific mitochondrial DNA variation in chinook salmon from drainages in the Yukon River, the Kenai River, and Oregon and California rivers; and chum salmon from the Yukon River and vancouver Island, and Washington rivers. For each species, three different portions of the mtDNA molecule were amplified seperately using the polymerase chain reaction and then digested with at least 19 restrictions enzymes. Intraspecific sequence divergences between haplotypes were less than 0.01 base subsitution per nucleotide. Nine chum salmon haplotypes were identified. Yukon River chum salmon stocks displayed more haplotypes (8) occurred in all areas. Seven chinook salmon haplotypes were identified. Four haplotypes occurred in the Yukon and Kenai rviers and four occured in the Oregon/California, with only one haplotype shared between the regions. Sample sizes were too small to quantify the degree of stock seperation among drainages, but the patterns of variation that we observed suggest utility of the technique in genetic stock identification.

  1. Towards a systematic analysis of human short-chain dehydrogenases/reductases (SDR): Ligand identification and structure-activity relationships.

    PubMed

    Bhatia, Chitra; Oerum, Stephanie; Bray, James; Kavanagh, Kathryn L; Shafqat, Naeem; Yue, Wyatt; Oppermann, Udo

    2015-06-05

    Short-chain dehydrogenases/reductases (SDRs) constitute a large, functionally diverse branch of enzymes within the class of NAD(P)(H) dependent oxidoreductases. In humans, over 80 genes have been identified with distinct metabolic roles in carbohydrate, amino acid, lipid, retinoid and steroid hormone metabolism, frequently associated with inherited genetic defects. Besides metabolic functions, a subset of atypical SDR proteins appears to play critical roles in adapting to redox status or RNA processing, and thereby controlling metabolic pathways. Here we present an update on the human SDR superfamily and a ligand identification strategy using differential scanning fluorimetry (DSF) with a focused library of oxidoreductase and metabolic ligands to identify substrate classes and inhibitor chemotypes. This method is applicable to investigate structure-activity relationships of oxidoreductases and ultimately to better understand their physiological roles.

  2. Crystal structure analysis of auromomycin apoprotein (macromomycin) shows importance of protein side chains to chromophore binding selectivity.

    PubMed Central

    Van Roey, P; Beerman, T A

    1989-01-01

    The crystal structure of macromomycin, the apoprotein of the antitumor antibiotic auromomycin, has been determined and refined at 1.6-A resolution. The overall structure is composed of a flattened seven-stranded antiparallel beta-barrel and two antiparallel beta-sheet ribbons. The barrel and the ribbons define a deep cleft that is the chromophore binding site. The cleft is very accessible and in this structure is occupied by two 2-methyl-2,4-pentanediol and two water molecules. The overall shape of the binding site is similar to that of the analogue actinoxanthin. Highly specific side chains that are not conserved between different analogues extend into the binding site and may be important to the chromophore binding specificity. PMID:2771945

  3. AI-based technique for tracking chains of discontinuous symbols and its application to the analysis of topographic maps

    NASA Astrophysics Data System (ADS)

    Mecocci, Alessandro; Lilla, Massimiliano

    1994-12-01

    Automatic digitization of topographic maps is a very important task nowadays. Among the different elements of a topographic map discontinuous lines represent important information. Generally they are difficult to track because they show very large gaps, and abrupt direction changes. In this paper an architecture that automates the digitalization of discontinuous lines (dot-dot lines, dash-dot-dash lines, dash-asterisk lines, etc.) is presented. The tracking process must detect the elementary symbols and then concatenate these symbols into a significant chain that represents the line. The proposed architecture is composed of a common kernel, based on a suitable modification of the A* algorithm, that starts different auxiliary processes depending on the particular line to be tracked. Three auxiliary processes are considered: search strategy generation (SSG) which is responsible for the strategy used to scan the image pixels; low level symbol detection (LSD) which decides if a certain image region around the pixel selected by the SSG is an elementary symbol; cost evaluation (CE) which gives the quality of each symbol with respect to the global course of the line. The whole system has been tested on a 1:50.000 map furnished by the Istituto Geografico Militare Italiano (IGMI). The results were very good for different types of discontinuous lines. Over the whole map (i.e. about 80 Mbytes of digitized data) 95% of the elementary symbols of the lines have been correctly chained. The operator time required to correct misclassifications is a small part of the time needed to manually digitize the discontinuous lines.

  4. A novel approach for the purification and proteomic analysis of pathogenic immunoglobulin free light chains from serum.

    PubMed

    Lavatelli, Francesca; Brambilla, Francesca; Valentini, Veronica; Rognoni, Paola; Casarini, Simona; Di Silvestre, Dario; Perfetti, Vittorio; Palladini, Giovanni; Sarais, Gabriele; Mauri, Pierluigi; Merlini, Giampaolo

    2011-03-01

    An excess of circulating monoclonal free immunoglobulin light chains (FLC) is common in plasma cell disorders. A subset of FLC, as amyloidogenic ones, possess intrinsic pathogenicity. Because of their complex purification, little is known on the biochemical features of serum FLC, possibly related to their pathogenic spectrum. We developed an immunopurification approach to isolate serum FLC from patients with monoclonal gammopathies, followed by proteomic characterization. Serum monoclonal FLC were detected and quantified by immunofixation and immunonephelometry. Immunoprecipitation was performed by serum incubation with agarose beads covalently linked to polyclonal anti-κ or λ FLC antibodies. Isolated FLC were analyzed by SDS-PAGE, 2D-PAGE, immunoblotting, mass spectrometry (MS). Serum FLC were immunoprecipitated from 15 patients with ALλ amyloidosis (serum λ FLC range: 98-2350mg/L), 5 with ALκ amyloidosis and 1 with κ light chain (LC) myeloma (κ FLC range: 266-2660mg/L), and 3 controls. Monoclonal FLC were the prevalent eluted species in patients. On 2D-PAGE, both λ and κ FLC originated discrete spots with multiple pI isoforms. The nature of eluted FLC and coincidence with the LC sequence from the bone marrow clone was confirmed by MS, which also detected post-translational modifications, including truncation, tryptophan oxidation, cysteinylation, peptide dimerization. Serum FLC were purified in soluble form and adequate amounts for proteomics, which allowed studying primary sequence and detecting post-translational modifications. This method is a novel instrument for studying the molecular bases of FLC pathogenicity, allowing for the first time the punctual biochemical description of the circulating forms.

  5. Application of principal component analysis in the pollution assessment with heavy metals of vegetable food chain in the old mining areas

    PubMed Central

    2012-01-01

    Background The aim of the paper is to assess by the principal components analysis (PCA) the heavy metal contamination of soil and vegetables widely used as food for people who live in areas contaminated by heavy metals (HMs) due to long-lasting mining activities. This chemometric technique allowed us to select the best model for determining the risk of HMs on the food chain as well as on people's health. Results Many PCA models were computed with different variables: heavy metals contents and some agro-chemical parameters which characterize the soil samples from contaminated and uncontaminated areas, HMs contents of different types of vegetables grown and consumed in these areas, and the complex parameter target hazard quotients (THQ). Results were discussed in terms of principal component analysis. Conclusion There were two major benefits in processing the data PCA: firstly, it helped in optimizing the number and type of data that are best in rendering the HMs contamination of the soil and vegetables. Secondly, it was valuable for selecting the vegetable species which present the highest/minimum risk of a negative impact on the food chain and human health. PMID:23234365

  6. Kullback-Leibler Markov chain Monte Carlo--a new algorithm for finite mixture analysis and its application to gene expression data.

    PubMed

    Tatarinova, Tatiana; Bouck, John; Schumitzky, Alan

    2008-08-01

    In this paper, we study Bayesian analysis of nonlinear hierarchical mixture models with a finite but unknown number of components. Our approach is based on Markov chain Monte Carlo (MCMC) methods. One of the applications of our method is directed to the clustering problem in gene expression analysis. From a mathematical and statistical point of view, we discuss the following topics: theoretical and practical convergence problems of the MCMC method; determination of the number of components in the mixture; and computational problems associated with likelihood calculations. In the existing literature, these problems have mainly been addressed in the linear case. One of the main contributions of this paper is developing a method for the nonlinear case. Our approach is based on a combination of methods including Gibbs sampling, random permutation sampling, birth-death MCMC, and Kullback-Leibler distance.

  7. Markov Chain Monte Carlo approaches to analysis of genetic and environmental components of human developmental change and G x E interaction.

    PubMed

    Eaves, Lindon; Erkanli, Alaattin

    2003-05-01

    The linear structural model has provided the statistical backbone of the analysis of twin and family data for 25 years. A new generation of questions cannot easily be forced into the framework of current approaches to modeling and data analysis because they involve nonlinear processes. Maximizing the likelihood with respect to parameters of such nonlinear models is often cumbersome and does not yield easily to current numerical methods. The application of Markov Chain Monte Carlo (MCMC) methods to modeling the nonlinear effects of genes and environment in MZ and DZ twins is outlined. Nonlinear developmental change and genotype x environment interaction in the presence of genotype-environment correlation are explored in simulated twin data. The MCMC method recovers the simulated parameters and provides estimates of error and latent (missing) trait values. Possible limitations of MCMC methods are discussed. Further studies are necessary explore the value of an approach that could extend the horizons of research in developmental genetic epidemiology.

  8. KULLBACK-LEIBLER MARKOV CHAIN MONTE CARLO — A NEW ALGORITHM FOR FINITE MIXTURE ANALYSIS AND ITS APPLICATION TO GENE EXPRESSION DATA

    PubMed Central

    TATARINOVA, TATIANA; BOUCK, JOHN; SCHUMITZKY, ALAN

    2009-01-01

    In this paper, we study Bayesian analysis of nonlinear hierarchical mixture models with a finite but unknown number of components. Our approach is based on Markov chain Monte Carlo (MCMC) methods. One of the applications of our method is directed to the clustering problem in gene expression analysis. From a mathematical and statistical point of view, we discuss the following topics: theoretical and practical convergence problems of the MCMC method; determination of the number of components in the mixture; and computational problems associated with likelihood calculations. In the existing literature, these problems have mainly been addressed in the linear case. One of the main contributions of this paper is developing a method for the nonlinear case. Our approach is based on a combination of methods including Gibbs sampling, random permutation sampling, birth-death MCMC, and Kullback-Leibler distance. PMID:18763739

  9. A Markov chain analysis of the movements of juvenile salmonids in the forebay of McNary Dam, Washington and Oregon, 2006-09

    USGS Publications Warehouse

    Adams, Noah S.; Hatton, Tyson W.

    2012-01-01

    Passage and survival data for yearling and subyearling Chinook salmon and juvenile steelhead were collected at McNary Dam between 2006 and 2009. These data have provided critical information for resource managers to implement structural and operational changes designed to improve the survival of juvenile salmonids as they migrate past the dam. Much of the information collected at McNary Dam was in the form of three-dimensional tracks of fish movements in the forebay. These data depicted the behavior of multiple species (in three dimensions) during different diel periods, spill conditions, powerhouse operations, and test configurations of the surface bypass structures (temporary spillway weirs; TSWs). One of the challenges in reporting three-dimensional results is presenting the information in a manner that allows interested parties to summarize the behavior of many fish over many different conditions across multiple years. To accomplish this, we investigated the feasibility of using a Markov chain analysis to characterize fish movement patterns in the forebay of McNary Dam. The Markov chain analysis is one way that can be used to summarize numerically the behavior of fish in the forebay. Numerically summarizing the behavior of juvenile salmonids in the forebay of McNary Dam using the Markov chain analysis allowed us to confirm what had been previously summarized using visualization software. For example, proportions of yearling and subyearling Chinook salmon passing the three powerhouse areas was often greater in the southern and middle areas, compared to the northern area. The opposite generally was observed for steelhead. Results of this analysis also allowed us to confirm and quantify the extent of milling behavior that had been observed for steelhead. For fish that were first detected in the powerhouse region, less than 0.10 of the steelhead, on average, passed within each of the powerhouse areas. Instead, steelhead transitioned to adjoining areas in the

  10. Folding of polyglutamine chains

    NASA Astrophysics Data System (ADS)

    Chopra, Manan; Reddy, Allam S.; Abbott, N. L.; de Pablo, J. J.

    2008-10-01

    Long polyglutamine chains have been associated with a number of neurodegenerative diseases. These include Huntington's disease, where expanded polyglutamine (PolyQ) sequences longer than 36 residues are correlated with the onset of symptoms. In this paper we study the folding pathway of a 54-residue PolyQ chain into a β-helical structure. Transition path sampling Monte Carlo simulations are used to generate unbiased reactive pathways between unfolded configurations and the folded β-helical structure of the polyglutamine chain. The folding process is examined in both explicit water and an implicit solvent. Both models reveal that the formation of a few critical contacts is necessary and sufficient for the molecule to fold. Once the primary contacts are formed, the fate of the protein is sealed and it is largely committed to fold. We find that, consistent with emerging hypotheses about PolyQ aggregation, a stable β-helical structure could serve as the nucleus for subsequent polymerization of amyloid fibrils. Our results indicate that PolyQ sequences shorter than 36 residues cannot form that nucleus, and it is also shown that specific mutations inferred from an analysis of the simulated folding pathway exacerbate its stability.

  11. Sea bass (Dicentrarchus labrax) invariant chain and class II major histocompatibility complex: sequencing and structural analysis using 3D homology modelling.

    PubMed

    Silva, Daniela S P; Reis, Marta I R; Nascimento, Diana S; do Vale, Ana; Pereira, Pedro J B; dos Santos, Nuno M S

    2007-07-01

    The present manuscript reports for the first time the sequencing and characterisation of sea bass (sb) MHCII alpha and beta chains and Ii chain cDNAs as well as their expression analysis under resting state. 3D homology modelling, using crystal structures from mammalian orthologues, has been used to illustrate and support putative structural homologies of the sea bass counterparts. The sbIi cDNA consists of 96 bp of 5'-UTR, a 843 bp open reading frame (ORF) and 899 bp of 3'-UTR including a canonical polyadenylation signal 16 nucleotides before the polyadenylation tail. The ORF was translated into a 280 amino acid sequence, in which all characteristic domains found in the Ii p41 human form could be identified, including the cytoplasmic N-terminus domain, the transmembrane (TM) region, the CLIP domain, the trimerization domain and the thyroglobulin (Tg) type I domain. The trimerization and Tg domains of sbIi were successfully modelled using the human counterparts as templates. Four different sequences of each class II alpha and beta MHCII were obtained from a single fish, apparently not derived from a single locus. All the characteristic features of the MHCII chain structure could be identified in the predicted ORF of sea bass alpha and beta sequences, consisting of leader peptide (LP), alpha1/beta1 and alpha2/beta2 domains, connecting peptide and TM and cytoplasmic regions. Furthermore, independently of the HLA-DR crystal structure used as template in homology modelling, a similar predicted 3D structure and trimeric quaternary architecture was obtained for sbMHC, with major deviations occurring only within the sea bass MHCII alpha1 domain.

  12. Stability of vertical magnetic chains.

    PubMed

    Schönke, Johannes; Fried, Eliot

    2017-02-01

    A linear stability analysis is performed for a pair of coaxial vertical chains made from permanently magnetized balls under the influence of gravity. While one chain rises from the ground, the other hangs from above, with the remaining ends separated by a gap of prescribed length. Various boundary conditions are considered, as are situations in which the magnetic dipole moments in the two chains are parallel or antiparallel. The case of a single chain attached to the ground is also discussed. The stability of the system is examined with respect to three quantities: the number of balls in each chain, the length of the gap between the chains, and a single dimensionless parameter which embodies the competition between magnetic and gravitational forces. Asymptotic scaling laws involving these parameters are provided. The Hessian matrix is computed in exact form, allowing the critical parameter values at which the system loses stability and the respective eigenmodes to be determined up to machine precision. A comparison with simple experiments for a single chain attached to the ground shows good agreement.

  13. Stability of vertical magnetic chains

    NASA Astrophysics Data System (ADS)

    Schönke, Johannes; Fried, Eliot

    2017-02-01

    A linear stability analysis is performed for a pair of coaxial vertical chains made from permanently magnetized balls under the influence of gravity. While one chain rises from the ground, the other hangs from above, with the remaining ends separated by a gap of prescribed length. Various boundary conditions are considered, as are situations in which the magnetic dipole moments in the two chains are parallel or antiparallel. The case of a single chain attached to the ground is also discussed. The stability of the system is examined with respect to three quantities: the number of balls in each chain, the length of the gap between the chains, and a single dimensionless parameter which embodies the competition between magnetic and gravitational forces. Asymptotic scaling laws involving these parameters are provided. The Hessian matrix is computed in exact form, allowing the critical parameter values at which the system loses stability and the respective eigenmodes to be determined up to machine precision. A comparison with simple experiments for a single chain attached to the ground shows good agreement.

  14. Stability of vertical magnetic chains

    PubMed Central

    2017-01-01

    A linear stability analysis is performed for a pair of coaxial vertical chains made from permanently magnetized balls under the influence of gravity. While one chain rises from the ground, the other hangs from above, with the remaining ends separated by a gap of prescribed length. Various boundary conditions are considered, as are situations in which the magnetic dipole moments in the two chains are parallel or antiparallel. The case of a single chain attached to the ground is also discussed. The stability of the system is examined with respect to three quantities: the number of balls in each chain, the length of the gap between the chains, and a single dimensionless parameter which embodies the competition between magnetic and gravitational forces. Asymptotic scaling laws involving these parameters are provided. The Hessian matrix is computed in exact form, allowing the critical parameter values at which the system loses stability and the respective eigenmodes to be determined up to machine precision. A comparison with simple experiments for a single chain attached to the ground shows good agreement. PMID:28293135

  15. From nucleotides to DNA analysis by a SERS substrate of a self similar chain of silver nanospheres

    NASA Astrophysics Data System (ADS)

    Coluccio, M. L.; Gentile, F.; Das, G.; Perozziello, G.; Malara, N.; Alrasheed, S.; Candeloro, P.; Di Fabrizio, E.

    2015-11-01

    In this work we realized a device of silver nanostructures designed so that they have a great ability to sustain the surface-enhanced Raman scattering effect. The nanostructures were silver self-similar chains of three nanospheres, having constant ratios between their diameters and between their reciprocal distances. They were realized by electron beam lithography, to write the pattern, and by silver electroless deposition technique, to fill it with the metal. The obtained device showed the capability to increase the Raman signal coming from the gap between the two smallest nanospheres (whose size is around 10 nm) and so it allows the detection of biomolecules fallen into this hot spot. In particular, oligonucleotides with 6 DNA bases, deposited on these devices with a drop coating method, gave a Raman spectrum characterized by a clear fingerprint coming from the hot spot and, with the help of a fitting method, also oligonucleotides of 9 bases, which are less than 3 nm long, were resolved. In conclusion the silver nanolens results in a SERS device able to measure all the molecules, or part of them, held into the hot spot of the nanolenses, and thus it could be a future instrument with which to analyze DNA portions.

  16. Detection and quantification of Renibacterium salmoninarum DNA in salmonid tissues by real-time quantitative polymerase chain reaction analysis

    USGS Publications Warehouse

    Chase, D.M.; Elliott, D.G.; Pascho, R.J.

    2006-01-01

    Renibacterium salmoninarum is an important salmonid pathogen that is difficult to culture. We developed and assessed a real-time, quantitative, polymerase chain reaction (qPCR) assay for the detection and enumeration of R. salmoninarum. The qPCR is based on TaqMan technology and amplifies a 69-base pair (bp) region of the gene encoding the major soluble antigen (MSA) of R. salmoninarum. The qPCR assay consistently detected as few as 5 R. salmoninarum cells per reaction in kidney tissue. The specificity of the qPCR was confirmed by testing the DNA extracts from a panel of microorganisms that were either common fish pathogens or reported to cause false-positive reactions in the enzyme-linked immunosorbent assay (ELISA). Kidney samples from 38 juvenile Chinook salmon (Oncorhynchus tshawytscha) in a naturally infected population were examined by real-time qPCR, a nested PCR, and ELISA, and prevalences of R. salmoninarum detected were 71, 66, and 71%, respectively. The qPCR should be a valuable tool for evaluating the R. salmoninarum infection status of salmonids.

  17. Multinomial logistic functions in markov chain models of sleep architecture: internal and external validation and covariate analysis.

    PubMed

    Bizzotto, Roberto; Zamuner, Stefano; Mezzalana, Enrica; De Nicolao, Giuseppe; Gomeni, Roberto; Hooker, Andrew C; Karlsson, Mats O

    2011-09-01

    Mixed-effect Markov chain models have been recently proposed to characterize the time course of transition probabilities between sleep stages in insomniac patients. The most recent one, based on multinomial logistic functions, was used as a base to develop a final model combining the strengths of the existing ones. This final model was validated on placebo data applying also new diagnostic methods and then used for the inclusion of potential age, gender, and BMI effects. Internal validation was performed through simplified posterior predictive check (sPPC), visual predictive check (VPC) for categorical data, and new visual methods based on stochastic simulation and estimation and called visual estimation check (VEC). External validation mainly relied on the evaluation of the objective function value and sPPC. Covariate effects were identified through stepwise covariate modeling within NONMEM VI. New model features were introduced in the model, providing significant sPPC improvements. Outcomes from VPC, VEC, and external validation were generally very good. Age, gender, and BMI were found to be statistically significant covariates, but their inclusion did not improve substantially the model's predictive performance. In summary, an improved model for sleep internal architecture has been developed and suitably validated in insomniac patients treated with placebo. Thereafter, covariate effects have been included into the final model.

  18. Haplotyping using a combination of polymerase chain reaction-single-strand conformational polymorphism analysis and haplotype-specific PCR amplification.

    PubMed

    Zhou, Huitong; Li, Shaobin; Liu, Xiu; Wang, Jiqing; Luo, Yuzhu; Hickford, Jon G H

    2014-12-01

    A single nucleotide polymorphism (SNP) may have an impact on phenotype, but it may also be influenced by multiple SNPs within a gene; hence, the haplotype or phase of multiple SNPs needs to be known. Various methods for haplotyping SNPs have been proposed, but a simple and cost-effective method is currently unavailable. Here we describe a haplotyping approach using two simple techniques: polymerase chain reaction-single-strand conformational polymorphism (PCR-SSCP) and haplotype-specific PCR. In this approach, individual regions of a gene are analyzed by PCR-SSCP to identify variation that defines sub-haplotypes, and then extended haplotypes are assembled from the sub-haplotypes either directly or with the additional use of haplotype-specific PCR amplification. We demonstrate the utility of this approach by haplotyping ovine FABP4 across two variable regions that contain seven SNPs and one indel. The simplicity of this approach makes it suitable for large-scale studies and/or diagnostic screening.

  19. Comparative study of DNA extraction methodologies from goat sperm and its effects on polymerase chain reaction analysis.

    PubMed

    Silva, E C B; Pelinca, M A; Acosta, A C; Silva, D M F; Gomes Filho, M A; Guerra, M M P

    2014-08-07

    Successful DNA extraction is indispensable for molecular methods based on polymerase chain reaction (PCR); however, goat sperm DNA extraction is limited. Thus, the aim of this study was to evaluate three methods to extract DNA from goat sperm for use in PCR. Eight goat semen pools were used for DNA extraction by using the DNeasy Blood & Tissue Kit, phenol-chloroform, and Chelex-100 methods. DNA samples were analyzed spectrophotometrically to determine the DNA concentration and purity, visualized on 0.8% agarose gel, and used at different amounts (150, 100, 50, 10, and 1 ng) for PCR with electrophoresis, followed by 1.5% agarose gel electrophoresis. The quantity of DNA extracted with Chelex-100 was higher (P < 0.05) than that obtained with either the DNeasy Blood & Tissue Kit or the phenol-chloroform method, with the phenol-chloroform method yielding a greater quantity (P < 0.05) than the kit. The DNeasy Blood & Tissue Kit produced a higher (P < 0.05) purity product than the Chelex-100 method, and all samples obtained by the three protocols were positive for DNA, as assessed by electrophoresis. All of the different concentrations of DNA produced by these methods were amplified by PCR, although for DNA produced by the phenol-chloroform method, PCR was only possible after complementary purification. In conclusion, the Chelex-100 method is cheap, secure, simple, fast, and effective, and is a potential tool for extracting goat sperm DNA without limitations in PCR.

  20. A Comparative Analysis of Polymerase Chain Reaction and Direct Fluorescent Antibody Test for Diagnosis of Genital Herpes.

    PubMed

    Patwardhan, Vrushali; Bhalla, Preena; Rawat, Deepti; Garg, Vijay Kumar; Sardana, Kabir; Sethi, Sumit

    2017-01-01

    To compare laboratory tests that can simultaneously detect and type herpes simplex virus (HSV) directly from the genital ulcer specimens in clinically suspected cases of genital herpes. A study was conducted over 10 months and 44 adult male and female patients clinically suspected with genital herpes were recruited. Genital ulcer swab specimens were subjected to glycoprotein-G gene-based conventional polymerase chain reaction (PCR) and commercially available direct fluorescent antibody (DFA) test and the results were compared. PCR for HSV was positive in 82% (36/44) cases. DFA was positive in 68.2% (30/44) cases. There was 100% agreement between HSV types detected by DFA and PCR. The strength of agreement between the results was better in primary genital herpes than recurrent cases. PCR was found to be better in the detection of HSV in recurrent genital herpes patients. It is a better modality, especially when genital herpes clinically presents with ulcerative or crusted lesions, and is also a cheaper alternative as compared to DFA.

  1. A Comparative Analysis of Polymerase Chain Reaction and Direct Fluorescent Antibody Test for Diagnosis of Genital Herpes

    PubMed Central

    Patwardhan, Vrushali; Bhalla, Preena; Rawat, Deepti; Garg, Vijay Kumar; Sardana, Kabir; Sethi, Sumit

    2017-01-01

    Objective: To compare laboratory tests that can simultaneously detect and type herpes simplex virus (HSV) directly from the genital ulcer specimens in clinically suspected cases of genital herpes. Materials and Methods: A study was conducted over 10 months and 44 adult male and female patients clinically suspected with genital herpes were recruited. Genital ulcer swab specimens were subjected to glycoprotein-G gene-based conventional polymerase chain reaction (PCR) and commercially available direct fluorescent antibody (DFA) test and the results were compared. Results: PCR for HSV was positive in 82% (36/44) cases. DFA was positive in 68.2% (30/44) cases. There was 100% agreement between HSV types detected by DFA and PCR. The strength of agreement between the results was better in primary genital herpes than recurrent cases. Conclusion: PCR was found to be better in the detection of HSV in recurrent genital herpes patients. It is a better modality, especially when genital herpes clinically presents with ulcerative or crusted lesions, and is also a cheaper alternative as compared to DFA. PMID:28042218

  2. Transgenic analysis of the thyroid-responsive elements in the alpha-cardiac myosin heavy chain gene promoter.

    PubMed

    Subramaniam, A; Gulick, J; Neumann, J; Knotts, S; Robbins, J

    1993-02-25

    The role of two putative, cis-acting thyroid hormone-responsive elements, TRE1 and TRE2, located at -129 to -149 and -102 to -120, respectively, on the murine alpha-myosin heavy chain (MHC) gene, has been investigated in transgenic mice. These motifs are present in a 4.5-kilobase fragment lying upstream of the transcriptional start site of the mouse alpha-MHC gene: this fragment directs appropriate expression of a reporter gene in transgenic mice (Subramaniam, A., Jones, W. K., Gulick, J., Wert, S., Neumann, J., and Robbins, J. (1991) J. Biol. Chem. 266, 24613-24620). Here, we independently mutate the TRE1 and TRE2 elements by base substitution. The mice were analyzed for transgene expression in different muscle and non-muscle tissues including the atria and ventricles. Normal levels of transgene expression were observed in euthyroid mice carrying a mutation in TRE1. In contrast to these results, mice in which TRE2 was mutated showed reduced levels of CAT activity in both the atria and ventricles, suggesting a previously undefined role for this element in the constitutive up-regulation of the alpha-MHC gene. In hypothyroid mice carrying either of these mutations, the complete cessation of ventricular expression of the chloramphenicol acetyltransferase transcripts that takes place in the alpha-5.5 (wild type) animals did not occur.

  3. In vivo analysis of fibroin heavy chain signal peptide of silkworm Bombyx mori using recombinant baculovirus as vector

    SciTech Connect

    Wang Shengpeng; Guo Tingqing; Guo Xiuyang; Huang Junting; Lu Changde . E-mail: cdlu@sibs.ac.cn

    2006-03-24

    In order to investigate the functional signal peptide of silkworm fibroin heavy chain (FibH) and the effect of N- and C-terminal parts of FibH on the secretion of FibH in vivo, N- and C-terminal segments of fibh gene were fused with enhanced green fluorescent protein (EGFP) gene. The fused gene was then introduced into silkworm larvae and expressed in silk gland using recombinant AcMNPV (Autographa californica multiple nuclear polyhedrosis virus) as vector. The fluorescence of EGFP was observed with fluorescence microscope. FibH-EGFP fusion proteins extracted from silk gland were analyzed by Western blot. Results showed that the two alpha helices within N-terminal 163 amino acid residues and the C-terminal 61 amino acid residues were not necessary for cleavage of signal peptide and secretion of the fusion protein into silk gland. Then the C-terminal 61 amino acid residues were substituted with a His-tag in the fusion protein to facilitate the purification. N-terminal sequencing of the purified protein showed that the signal cleavage site is between position 21 and 22 amino acid residues.

  4. Application of spatial Markov chains to the analysis of the temporal-spatial evolution of soil erosion.

    PubMed

    Liu, Ruimin; Men, Cong; Wang, Xiujuan; Xu, Fei; Yu, Wenwen

    Soil and water conservation in the Three Gorges Reservoir Area of China is important, and soil erosion is a significant issue. In the present study, spatial Markov chains were applied to explore the impacts of the regional context on soil erosion in the Xiangxi River watershed, and Thematic Mapper remote sensing data from 1999 and 2007 were employed. The results indicated that the observed changes in soil erosion were closely related to the soil erosion levels of the surrounding areas. When neighboring regions were not considered, the probability that moderate erosion transformed into slight and severe erosion was 0.8330 and 0.0049, respectively. However, when neighboring regions that displayed intensive erosion were considered, the probabilities were 0.2454 and 0.7513, respectively. Moreover, the different levels of soil erosion in neighboring regions played different roles in soil erosion. If the erosion levels in the neighboring region were lower, the probability of a high erosion class transferring to a lower level was relatively high. In contrast, if erosion levels in the neighboring region were higher, the probability was lower. The results of the present study provide important information for the planning and implementation of soil conservation measures in the study area.

  5. Outcome prediction in plasmacytoma of bone: a risk model utilizing bone marrow flow cytometry and light-chain analysis.

    PubMed

    Hill, Quentin A; Rawstron, Andy C; de Tute, Ruth M; Owen, Roger G

    2014-08-21

    The purpose of this study was to use multiparameter flow cytometry to detect occult marrow disease (OMD) in patients with solitary plasmacytoma of bone and assess its value in predicting outcome. Aberrant phenotype plasma cells were demonstrable in 34 of 50 (68%) patients and comprised a median of 0.52% of bone marrow leukocytes. With a median follow-up of 3.7 years, 28 of 50 patients have progressed with a median time to progression (TTP) of 18 months. Progression was documented in 72% of patients with OMD vs 12.5% without (median TTP, 26 months vs not reached; P = .003). Monoclonal urinary light chains (ULC) were similarly predictive of outcome because progression was documented in 91% vs 44% without (median TTP, 16 vs 82 months; P < .001). By using both parameters, it was possible to define patients with an excellent outcome (lacking both OMD and ULC, 7.7% progression) and high-risk patients (OMD and/or ULC, 75% progression; P = .001). Trials of systemic therapy are warranted in high-risk patients. © 2014 by The American Society of Hematology.

  6. Automated muscle fiber type population analysis with ImageJ of whole rat muscles using rapid myosin heavy chain immunohistochemistry.

    PubMed

    Bergmeister, Konstantin D; Gröger, Marion; Aman, Martin; Willensdorfer, Anna; Manzano-Szalai, Krisztina; Salminger, Stefan; Aszmann, Oskar C

    2016-08-01

    Skeletal muscle consists of different fiber types which adapt to exercise, aging, disease, or trauma. Here we present a protocol for fast staining, automatic acquisition, and quantification of fiber populations with ImageJ. Biceps and lumbrical muscles were harvested from Sprague-Dawley rats. Quadruple immunohistochemical staining was performed on single sections using antibodies against myosin heavy chains and secondary fluorescent antibodies. Slides were scanned automatically with a slide scanner. Manual and automatic analyses were performed and compared statistically. The protocol provided rapid and reliable staining for automated image acquisition. Analyses between manual and automatic data indicated Pearson correlation coefficients for biceps of 0.645-0.841 and 0.564-0.673 for lumbrical muscles. Relative fiber populations were accurate to a degree of ± 4%. This protocol provides a reliable tool for quantification of muscle fiber populations. Using freely available software, it decreases the required time to analyze whole muscle sections. Muscle Nerve 54: 292-299, 2016. © 2016 Wiley Periodicals, Inc.

  7. Free Light Chains and Intrathecal B Cells Activity in Multiple Sclerosis: A Prospective Study and Meta-Analysis

    PubMed Central

    Passerini, Gabriella; Sangalli, Francesca; Moiola, Lucia; Colombo, Bruno; Locatelli, Massimo; Comi, Giancarlo

    2016-01-01

    Background. The presence of CSF oligoclonal bands (OBs) is an independent prognostic factor for multiple sclerosis (MS), but the difficulties in the standardization of the test and the interlaboratory variation in reporting have contributed to its limited use in the diagnosis of the disease. Standard nephelometric assays to measure free light chains (FLC) levels have been recently developed and the test may improve the detection of intrathecal B cells activity. Methods. The presence of OBs, kappa and lambda FLC levels, and standard indices of intrathecal inflammation were assessed in 100 consecutive patients, including patients with MS, clinically isolated syndromes (CIS), other inflammatory diseases of the CNS, and other noninflammatory diseases. Results. Both KFLC and LFLC correlated strongly with the presence of OCBs and with all common tests for intrathecal inflammation (p < 0.001 for all comparisons). KFLC and LFLC were significantly different in patients with MS and CIS compared to the other groups (p < 0.001 and p < 0.001, resp.) and had a better diagnostic accuracy than all the other tests (area under the curve 82.3 % for KFLC index and 79.3 % for LFLC index). Conclusion. Nephelometric assays for KFLC in CSF reliably detect intrathecal immunoglobulin synthesis and discriminate MS patients. PMID:28116160

  8. Analysis of plasma viral RNA levels during acute dengue virus infection using quantitative competitor reverse transcription-polymerase chain reaction.

    PubMed

    Sudiro, T M; Zivny, J; Ishiko, H; Green, S; Vaughn, D W; Kalayanarooj, S; Nisalak, A; Norman, J E; Ennis, F A; Rothman, A L

    2001-01-01

    There is increasing recognition of the potential importance of viral burden in the pathogenesis of dengue hemorrhagic fever (DHF). There is little data available, however, describing the kinetics of viral replication in humans with natural dengue virus (DV) infection. Standard procedures for measuring titers of infectious virus in clinical specimens are either laborious or insensitive. We developed a method for measurement of DV RNA in plasma samples based on reverse transcription-polymerase chain reaction (RT-PCR) using a mutant RNA target as a competitor. This technique was reproducible and accurate for samples containing any of the four DV serotypes, and could be applied to samples containing as few as 250 copies of RNA per reaction. We examined plasma viral RNA levels in 80 children with acute DV infection; sequential plasma samples were tested in 34 of these children. Plasma viral RNA levels ranged as high as 10(9) RNA copies/ml, and correlated with titers of infectious virus measured in mosquitoes (r= 0.69). Plasma viral RNA levels fell rapidly during the last several days of the febrile period. We did not find a significant difference in maximal plasma viral RNA levels between children with DHF and children with dengue fever, but peak viral RNA levels were identified in only 16 subjects. We conclude that this quantitative RT-PCR method will be valuable for further studies of natural DV infections.

  9. Utility of polymerase chain reaction for analysis of antigen receptor rearrangement in staging and predicting prognosis in dogs with lymphoma.

    PubMed

    Lana, Susan E; Jackson, Tracey L; Burnett, Robert C; Morley, Paul S; Avery, Anne C

    2006-01-01

    In lymphoid neoplasia, molecular assays to confirm clonality rely on the fact that lymphoid cells normally contain DNA regions with unique sequences, resulting from recombination of the V, D, and J genes. The purpose of this study was to determine the utility of polymerase chain reaction (PCR) for antigen receptor rearrangements (PARR) for molecular staging and predicting prognosis in canine lymphoma. We hypothesized that the PARR assay would offer a sensitive method for detecting neoplastic cells in blood, and that the presence of such cells would be a negative prognostic finding compared with dogs with no detectable circulating tumor cells. Eighty-six patients with histologically or cytologically confirmed lymphoma were studied from initial diagnosis until death or euthanasia. All patients had PARR assays of a representative tumor-infiltrated lymph node and peripheral whole blood. Sixty-two patients had clonal rearrangements detected in the lymph node and were able to be staged by PARR. Seventeen patients (27%) had no detectable tumor in their blood and 45 (73%) were blood positive. Our findings showed that (1) PARR correlated with clinical stage in that the PARR assay was more likely to detect tumor cells in blood in stage 5 lymphomas, (2) PARR was more sensitive for detecting circulating tumor cells than visual assessment of blood or bone marrow because 80% of stage 3 lymphomas were blood-PARR-positive, and (3) PCR stage was not prognostic for disease-free interval (DFI) or survival.

  10. A Comprehensive Analysis of the Phylogeny, Genomic Organization and Expression of Immunoglobulin Light Chain Genes in Alligator sinensis, an Endangered Reptile Species

    PubMed Central

    Lu, Yan; Zhang, Chenglin; Wu, Xiaobing; Han, Haitang; Zhao, Yaofeng; Ren, Liming

    2016-01-01

    Crocodilians are evolutionarily distinct reptiles that are distantly related to lizards and are thought to be the closest relatives of birds. Compared with birds and mammals, few studies have investigated the Ig light chain of crocodilians. Here, employing an Alligator sinensis genomic bacterial artificial chromosome (BAC) library and available genome data, we characterized the genomic organization of the Alligator sinensis IgL gene loci. The Alligator sinensis has two IgL isotypes, λ and κ, the same as Anolis carolinensis. The Igλ locus contains 6 Cλ genes, each preceded by a Jλ gene, and 86 potentially functional Vλ genes upstream of (Jλ-Cλ)n. The Igκ locus contains a single Cκ gene, 6 Jκs and 62 functional Vκs. All VL genes are classified into a total of 31 families: 19 Vλ families and 12 Vκ families. Based on an analysis of the chromosomal location of the light chain genes among mammals, birds, lizards and frogs, the data further confirm that there are two IgL isotypes in the Alligator sinensis: Igλ and Igκ. By analyzing the cloned Igλ/κ cDNA, we identified a biased usage pattern of V families in the expressed Vλ and Vκ. An analysis of the junctions of the recombined VJ revealed the presence of N and P nucleotides in both expressed λ and κ sequences. Phylogenetic analysis of the V genes revealed V families shared by mammals, birds, reptiles and Xenopus, suggesting that these conserved V families are orthologous and have been retained during the evolution of IgL. Our data suggest that the Alligator sinensis IgL gene repertoire is highly diverse and complex and provide insight into immunoglobulin gene evolution in vertebrates. PMID:26901135

  11. Frequent expression loss of Inter-alpha-trypsin inhibitor heavy chain (ITIH) genes in multiple human solid tumors: A systematic expression analysis

    PubMed Central

    Hamm, Alexander; Veeck, Juergen; Bektas, Nuran; Wild, Peter J; Hartmann, Arndt; Heindrichs, Uwe; Kristiansen, Glen; Werbowetski-Ogilvie, Tamra; Del Maestro, Rolando; Knuechel, Ruth; Dahl, Edgar

    2008-01-01

    Background The inter-alpha-trypsin inhibitors (ITI) are a family of plasma protease inhibitors, assembled from a light chain – bikunin, encoded by AMBP – and five homologous heavy chains (encoded by ITIH1, ITIH2, ITIH3, ITIH4, and ITIH5), contributing to extracellular matrix stability by covalent linkage to hyaluronan. So far, ITIH molecules have been shown to play a particularly important role in inflammation and carcinogenesis. Methods We systematically investigated differential gene expression of the ITIH gene family, as well as AMBP and the interacting partner TNFAIP6 in 13 different human tumor entities (of breast, endometrium, ovary, cervix, stomach, small intestine, colon, rectum, lung, thyroid, prostate, kidney, and pancreas) using cDNA dot blot analysis (Cancer Profiling Array, CPA), semiquantitative RT-PCR and immunohistochemistry. Results We found that ITIH genes are clearly downregulated in multiple human solid tumors, including breast, colon and lung cancer. Thus, ITIH genes may represent a family of putative tumor suppressor genes that should be analyzed in greater detail in the future. For an initial detailed analysis we chose ITIH2 expression in human breast cancer. Loss of ITIH2 expression in 70% of cases (n = 50, CPA) could be confirmed by real-time PCR in an additional set of breast cancers (n = 36). Next we studied ITIH2 expression on the protein level by analyzing a comprehensive tissue micro array including 185 invasive breast cancer specimens. We found a strong correlation (p < 0.001) between ITIH2 expression and estrogen receptor (ER) expression indicating that ER may be involved in the regulation of this ECM molecule. Conclusion Altogether, this is the first systematic analysis on the differential expression of ITIH genes in human cancer, showing frequent downregulation that may be associated with initiation and/or progression of these malignancies. PMID:18226209

  12. A Comprehensive Analysis of the Phylogeny, Genomic Organization and Expression of Immunoglobulin Light Chain Genes in Alligator sinensis, an Endangered Reptile Species.

    PubMed

    Wang, Xifeng; Cheng, Gang; Lu, Yan; Zhang, Chenglin; Wu, Xiaobing; Han, Haitang; Zhao, Yaofeng; Ren, Liming

    2016-01-01

    Crocodilians are evolutionarily distinct reptiles that are distantly related to lizards and are thought to be the closest relatives of birds. Compared with birds and mammals, few studies have investigated the Ig light chain of crocodilians. Here, employing an Alligator sinensis genomic bacterial artificial chromosome (BAC) library and available genome data, we characterized the genomic organization of the Alligator sinensis IgL gene loci. The Alligator sinensis has two IgL isotypes, λ and κ, the same as Anolis carolinensis. The Igλ locus contains 6 Cλ genes, each preceded by a Jλ gene, and 86 potentially functional Vλ genes upstream of (Jλ-Cλ)n. The Igκ locus contains a single Cκ gene, 6 Jκs and 62 functional Vκs. All VL genes are classified into a total of 31 families: 19 Vλ families and 12 Vκ families. Based on an analysis of the chromosomal location of the light chain genes among mammals, birds, lizards and frogs, the data further confirm that there are two IgL isotypes in the Alligator sinensis: Igλ and Igκ. By analyzing the cloned Igλ/κ cDNA, we identified a biased usage pattern of V families in the expressed Vλ and Vκ. An analysis of the junctions of the recombined VJ revealed the presence of N and P nucleotides in both expressed λ and κ sequences. Phylogenetic analysis of the V genes revealed V families shared by mammals, birds, reptiles and Xenopus, suggesting that these conserved V families are orthologous and have been retained during the evolution of IgL. Our data suggest that the Alligator sinensis IgL gene repertoire is highly diverse and complex and provide insight into immunoglobulin gene evolution in vertebrates.

  13. A study of acoustic-to-articulatory inversion of speech by analysis-by-synthesis using chain matrices and the Maeda articulatory model

    PubMed Central

    Panchapagesan, Sankaran; Alwan, Abeer

    2011-01-01

    In this paper, a quantitative study of acoustic-to-articulatory inversion for vowel speech sounds by analysis-by-synthesis using the Maeda articulatory model is performed. For chain matrix calculation of vocal tract (VT) acoustics, the chain matrix derivatives with respect to area function are calculated and used in a quasi-Newton method for optimizing articulatory trajectories. The cost function includes a distance measure between natural and synthesized first three formants, and parameter regularization and continuity terms. Calibration of the Maeda model to two speakers, one male and one female, from the University of Wisconsin x-ray microbeam (XRMB) database, using a cost function, is discussed. Model adaptation includes scaling the overall VT and the pharyngeal region and modifying the outer VT outline using measured palate and pharyngeal traces. The inversion optimization is initialized by a fast search of an articulatory codebook, which was pruned using XRMB data to improve inversion results. Good agreement between estimated midsagittal VT outlines and measured XRMB tongue pellet positions was achieved for several vowels and diphthongs for the male speaker, with average pellet-VT outline distances around 0.15 cm, smooth articulatory trajectories, and less than 1% average error in the first three formants. PMID:21476670

  14. Temporal relation between the ADC and DC potential responses to transient focal ischemia in the rat: a Markov chain Monte Carlo simulation analysis.

    PubMed

    King, Martin D; Crowder, Martin J; Hand, David J; Harris, Neil G; Williams, Stephen R; Obrenovitch, Tihomir P; Gadian, David G

    2003-06-01

    Markov chain Monte Carlo simulation was used in a reanalysis of the longitudinal data obtained by Harris et al. (J Cereb Blood Flow Metab 20:28-36) in a study of the direct current (DC) potential and apparent diffusion coefficient (ADC) responses to focal ischemia. The main purpose was to provide a formal analysis of the temporal relati