Distributed design approach in persistent identifiers systems

NASA Astrophysics Data System (ADS)

Golodoniuc, Pavel; Car, Nicholas; Klump, Jens

2017-04-01

The need to identify both digital and physical objects is ubiquitous in our society. Past and present persistent identifier (PID) systems, of which there is a great variety in terms of technical and social implementations, have evolved with the advent of the Internet, which has allowed for globally unique and globally resolvable identifiers. PID systems have catered for identifier uniqueness, integrity, persistence, and trustworthiness, regardless of the identifier's application domain, the scope of which has expanded significantly in the past two decades. Since many PID systems have been largely conceived and developed by small communities, or even a single organisation, they have faced challenges in gaining widespread adoption and, most importantly, the ability to survive change of technology. This has left a legacy of identifiers that still exist and are being used but which have lost their resolution service. We believe that one of the causes of once successful PID systems fading is their reliance on a centralised technical infrastructure or a governing authority. Golodoniuc et al. (2016) proposed an approach to the development of PID systems that combines the use of (a) the Handle system, as a distributed system for the registration and first-degree resolution of persistent identifiers, and (b) the PID Service (Golodoniuc et al., 2015), to enable fine-grained resolution to different information object representations. The proposed approach solved the problem of guaranteed first-degree resolution of identifiers, but left fine-grained resolution and information delivery under the control of a single authoritative source, posing risk to the long-term availability of information resources. Herein, we develop these approaches further and explore the potential of large-scale decentralisation at all levels: (i) persistent identifiers and information resources registration; (ii) identifier resolution; and (iii) data delivery. To achieve large-scale decentralisation

Preservice Science Teachers' Efficacy Regarding a Socioscientific Issue: A Belief System Approach

NASA Astrophysics Data System (ADS)

Kılınç, Ahmet; Kartal, Tezcan; Eroğlu, Barış; Demiral, Ümit; Afacan, Özlem; Polat, Dilber; Demirci Guler, Mutlu P.; Görgülü, Özkan

2013-12-01

The aim of the present study was to understand the nature of teaching efficacy beliefs related to a socioscientific issue (SSI). We investigated Turkish preservice science teachers' teaching efficacy beliefs about genetically modified (GM) foods using a belief system approach. We assumed that preservice teachers' beliefs about GM foods (content knowledge, risk perceptions, moral beliefs, and religious beliefs) and their teaching efficacy beliefs about this topic constitute a belief system, and these beliefs are interrelated due to core educational beliefs. We used an exploratory mixed design to test this model. We developed and administered specific questionnaires to probe the belief system model. The sample for the quantitative part of this study included 441 preservice science teachers from eight universities. We randomly selected eight participants in this group for follow-up interviews. The results showed that preservice science teachers held moderately high teaching efficacy beliefs. Learning and teaching experiences, communication skills, vicarious experiences, emotional states, and interest in the topic were sources of this efficacy. In addition, content knowledge and risk perceptions were predictors of teaching efficacy. We believe that epistemologies based on traditional teaching and the values attached to science teaching are the core beliefs that affect the relationship between predictor variables and teaching efficacy.

A Comparison of the Influences of Different Training Approaches on Trainees' Perceptions of Self-Efficacy to Achieve Training Outcomes among Bankers in Taiwan

ERIC Educational Resources Information Center

Huang, WenRou

2010-01-01

The purpose of this study was to compare the influences of the classroom training and the structured on-the-job training (S-OJT) approaches on trainees' self-efficacy to achieve the training outcomes among bankers in Taiwan. Based on the conditions for training effectiveness identified in the literature, the study examined whether trainees with…

Identifying Taiwanese University Students' Physics Learning Profiles and Their Role in Physics Learning Self-Efficacy

ERIC Educational Resources Information Center

Lin, Tzung-Jin; Liang, Jyh-Chong; Tsai, Chin-Chung

2015-01-01

The main purposes of this study were to identify Taiwanese university students' physics learning profiles in terms of their critical conceptions of learning physics and to compare their physics learning self-efficacy with the different learning profiles. A total of 250 Taiwanese undergraduates who were majoring in physics participated in this…

A Multiplexed High-Content Screening Approach Using the Chromobody Technology to Identify Cell Cycle Modulators in Living Cells.

PubMed

Schorpp, Kenji; Rothenaigner, Ina; Maier, Julia; Traenkle, Bjoern; Rothbauer, Ulrich; Hadian, Kamyar

2016-10-01

Many screening hits show relatively poor quality regarding later efficacy and safety. Therefore, small-molecule screening efforts shift toward high-content analysis providing more detailed information. Here, we describe a novel screening approach to identify cell cycle modulators with low toxicity by combining the Cell Cycle Chromobody (CCC) technology with the CytoTox-Glo (CTG) cytotoxicity assay. The CCC technology employs intracellularly functional single-domain antibodies coupled to a fluorescent protein (chromobodies) to visualize the cell cycle-dependent redistribution of the proliferating cell nuclear antigen (PCNA) in living cells. This image-based cell cycle analysis was combined with determination of dead-cell protease activity in cell culture supernatants by the CTG assay. We adopted this multiplex approach to high-throughput format and screened 960 Food and Drug Administration (FDA)-approved drugs. By this, we identified nontoxic compounds, which modulate different cell cycle stages, and validated selected hits in diverse cell lines stably expressing CCC. Additionally, we independently validated these hits by flow cytometry as the current state-of-the-art format for cell cycle analysis. This study demonstrates that CCC imaging is a versatile high-content screening approach to identify cell cycle modulators, which can be multiplexed with cytotoxicity assays for early elimination of toxic compounds during screening. © 2016 Society for Laboratory Automation and Screening.

The Diagnostic Efficacy of Cone-beam Computed Tomography in Endodontics: A Systematic Review and Analysis by a Hierarchical Model of Efficacy.

PubMed

Rosen, Eyal; Taschieri, Silvio; Del Fabbro, Massimo; Beitlitum, Ilan; Tsesis, Igor

2015-07-01

The aim of this study was to evaluate the diagnostic efficacy of cone-beam computed tomographic (CBCT) imaging in endodontics based on a systematic search and analysis of the literature using an efficacy model. A systematic search of the literature was performed to identify studies evaluating the use of CBCT imaging in endodontics. The identified studies were subjected to strict inclusion criteria followed by an analysis using a hierarchical model of efficacy (model) designed for appraisal of the literature on the levels of efficacy of a diagnostic imaging modality. Initially, 485 possible relevant articles were identified. After title and abstract screening and a full-text evaluation, 58 articles (12%) that met the inclusion criteria were analyzed and allocated to levels of efficacy. Most eligible articles (n = 52, 90%) evaluated technical characteristics or the accuracy of CBCT imaging, which was defined in this model as low levels of efficacy. Only 6 articles (10%) proclaimed to evaluate the efficacy of CBCT imaging to support the practitioner's decision making; treatment planning; and, ultimately, the treatment outcome, which was defined as higher levels of efficacy. The expected ultimate benefit of CBCT imaging to the endodontic patient as evaluated by its level of diagnostic efficacy is unclear and is mainly limited to its technical and diagnostic accuracy efficacies. Even for these low levels of efficacy, current knowledge is limited. Therefore, a cautious and rational approach is advised when considering CBCT imaging for endodontic purposes. Copyright © 2015 American Association of Endodontists. Published by Elsevier Inc. All rights reserved.

Effects of Learning Approaches, Locus of Control, Socio-Economic Status and Self-Efficacy on Academic Achievement: A Turkish Perspective

ERIC Educational Resources Information Center

Suphi, Nilgun; Yaratan, Huseyin

2012-01-01

In this study the effects of learning approaches, locus of control (LOC), socio-economic status and self-efficacy on undergraduate students in North Cyprus was investigated. Four questionnaires were administered on 99 students in order to collect data regarding the learning approaches, LOC, self-efficacy and demographic factors. High cumulative…

A statistical approach for evaluating the effectiveness of heartworm preventive drugs: what does 100% efficacy really mean?

PubMed

Vidyashankar, Anand N; Jimenez Castro, Pablo D; Kaplan, Ray M

2017-11-09

Initial studies of heartworm preventive drugs all yielded an observed efficacy of 100% with a single dose, and based on these data the US Food and Drug Administration (FDA) required all products to meet this standard for approval. Those initial studies, however, were based on just a few strains of parasites, and therefore were not representative of the full assortment of circulating biotypes. This issue has come to light in recent years, where it has become common for studies to yield less than 100% efficacy. This has changed the landscape for the testing of new products because heartworm efficacy studies lack the statistical power to conclude that finding zero worms is different from finding a few worms. To address this issue, we developed a novel statistical model, based on a hierarchical modeling and parametric bootstrap approach that provides new insights to assess multiple sources of variability encountered in heartworm drug efficacy studies. Using the newly established metrics we performed both data simulations and analyzed actual experimental data. Our results suggest that an important source of modeling variability arises from variability in the parasite establishment rate between dogs; not accounting for this can overestimate the efficacy in more than 40% of cases. We provide strong evidence that ZoeMo-2012 and JYD-34, which both were established from the same source dog, have differing levels of susceptibility to moxidectin. In addition, we provide strong evidence that the differences in efficacy seen in two published studies using the MP3 strain were not due to randomness, and thus must be biological in nature. Our results demonstrate how statistical modeling can improve the interpretation of data from heartworm efficacy studies by providing a means to identify the true efficacy range based on the observed data. Importantly, these new insights should help to inform regulators on how to move forward in establishing new statistically and scientifically

The Efficacy of Optometric Vision Therapy.

ERIC Educational Resources Information Center

Journal of the American Optometric Association, 1988

1988-01-01

This review aims to document the efficacy and validity of vision therapy for modifying and improving vision functioning. The paper describes the essential components of the visual system and disorders which can be physiologically and clinically identified. Vision therapy is defined as a clinical approach for correcting and ameliorating the effects…

Facilitating the implementation and efficacy of health-promoting schools via an action-research approach in Taiwan.

PubMed

Chang, Fong-Ching; Liu, Chieh-Hsing; Liao, Li-Ling; Niu, Yu-Zhen; Cheng, Chi-Chia; Chou, Hsin-Pei; Chang, Tzu-Chau

2014-06-01

Taiwan launched its evidence-based health-promoting school (HPS) program via an action-research approach in 2010. The program featured a collaborative partnership between schools, local education authorities and university support networks. This study was focused on examining whether an HPS action-research approach was effective in advancing HPS implementation, perceived HPS impact and perceived HPS efficacy in Taiwan. In 2011, questionnaires were sent to 900 sample schools in Taiwan. A total of 621 schools returned the questionnaire, including 488 primary schools and 133 middle schools. The response rate was 69%. This study compared the difference in HPS implementation status, perceived HPS impact and perceived HPS efficacy between those schools that had implemented action-research HPS (138 schools) and those that had not (483 schools). The univariate analysis results indicated that the HPS implementation levels for components that included school health policies, physical environment, social environment, teaching activities and school-community relations were significantly higher in action-research schools than in non-action-research schools. Teachers in action-research schools reported significantly higher levels of HPS impact and HPS efficacy than non-action-research schools. The multivariate analysis results indicated that after controlling for school level and HPS funding, the HPS action-research approach was significantly positively related to greater levels of HPS implementation, perceived HPS impact and perceived HPS efficacy.

On Identifying the Sound Sources in a Turbulent Flow

NASA Technical Reports Server (NTRS)

Goldstein, M. E.

2008-01-01

A space-time filtering approach is used to divide an unbounded turbulent flow into its radiating and non-radiating components. The result is then used to clarify a number of issues including the possibility of identifying the sources of the sound in such flows. It is also used to investigate the efficacy of some of the more recent computational approaches.

An Integrated Human/Murine Transcriptome and Pathway Approach To Identify Prenatal Treatments For Down Syndrome.

PubMed

Guedj, Faycal; Pennings, Jeroen LA; Massingham, Lauren J; Wick, Heather C; Siegel, Ashley E; Tantravahi, Umadevi; Bianchi, Diana W

2016-09-02

Anatomical and functional brain abnormalities begin during fetal life in Down syndrome (DS). We hypothesize that novel prenatal treatments can be identified by targeting signaling pathways that are consistently perturbed in cell types/tissues obtained from human fetuses with DS and mouse embryos. We analyzed transcriptome data from fetuses with trisomy 21, age and sex-matched euploid controls, and embryonic day 15.5 forebrains from Ts1Cje, Ts65Dn, and Dp16 mice. The new datasets were compared to other publicly available datasets from humans with DS. We used the human Connectivity Map (CMap) database and created a murine adaptation to identify FDA-approved drugs that can rescue affected pathways. USP16 and TTC3 were dysregulated in all affected human cells and two mouse models. DS-associated pathway abnormalities were either the result of gene dosage specific effects or the consequence of a global cell stress response with activation of compensatory mechanisms. CMap analyses identified 56 molecules with high predictive scores to rescue abnormal gene expression in both species. Our novel integrated human/murine systems biology approach identified commonly dysregulated genes and pathways. This can help to prioritize therapeutic molecules on which to further test safety and efficacy. Additional studies in human cells are ongoing prior to pre-clinical prenatal treatment in mice.

Teenage goals and self-efficacy beliefs as precursors of adult career and family outcomes.

PubMed

Lee, Bora; Vondracek, Fred W

2014-10-01

The present study identified and examined patterns of goal importance and self-efficacy beliefs in mid- and late adolescence as predictors of work and family outcomes in adulthood. A pattern approach was applied to appropriately identify relationships among work- and family-related goal importance and self-efficacy beliefs. Using a sample of 995 individuals, five distinct patterns of work-family goal importance and self-efficacy beliefs emerged. Individuals who assigned comparable importance to work and family goals and expressed corresponding self-efficacy beliefs in adolescence were more likely to achieve career and family outcomes in adulthood than individuals who expressed a strong preference for one domain over the other. The results supported the idea that work and family can be coordinated for mutual benefit. Furthermore, findings from the pattern approach provided an integrative view of work-family motivation and goal achievement complementing findings from traditional methods such as regression analysis.

The Responsive Classroom approach and fifth grade students' math and science anxiety and self-efficacy.

PubMed

Griggs, Marissa Swaim; Rimm-Kaufman, Sara E; Merritt, Eileen G; Patton, Christine L

2013-12-01

Self-efficacy forecasts student persistence and achievement in challenging subjects. Thus, it is important to understand factors that contribute to students' self-efficacy, a key factor in their success in math and science. The current cross-sectional study examined the contribution of students' gender and math and science anxiety as well as schools' use of Social and Emotional Learning (SEL) practices to students' math and science self-efficacy. Fifth graders (n = 1,561) completed questionnaires regarding their feelings about math and science. Approximately half of the students attended schools implementing the Responsive Classroom® (RC) approach, an SEL intervention, as part of a randomized controlled trial. Results suggested no difference in math and science self-efficacy between boys and girls. Students who self-reported higher math and science anxiety also reported less self-efficacy toward these subjects. However, the negative association between students' anxiety and self-efficacy was attenuated in schools using more RC practices compared with those using fewer RC practices. RC practices were associated with higher science self-efficacy. Results highlight anxiety as contributing to poor self-efficacy in math and science and suggest that RC practices create classroom conditions in which students' anxiety is less strongly associated with negative beliefs about their ability to be successful in math and science. PsycINFO Database Record (c) 2013 APA, all rights reserved.

Teenage goals and self-efficacy beliefs as precursors of adult career and family outcomes

PubMed Central

Lee, Bora; Vondracek, Fred W.

2014-01-01

The present study identified and examined patterns of goal importance and self-efficacy beliefs in mid- and late adolescence as predictors of work and family outcomes in adulthood. A pattern approach was applied to appropriately identify relationships among work- and family-related goal importance and self-efficacy beliefs. Using a sample of 995 individuals, five distinct patterns of work-family goal importance and self-efficacy beliefs emerged. Individuals who assigned comparable importance to work and family goals and expressed corresponding self-efficacy beliefs in adolescence were more likely to achieve career and family outcomes in adulthood than individuals who expressed a strong preference for one domain over the other. The results supported the idea that work and family can be coordinated for mutual benefit. Furthermore, findings from the pattern approach provided an integrative view of work-family motivation and goal achievement complementing findings from traditional methods such as regression analysis. PMID:25242815

Identifying the Correlation between Professional Learning Communities and Collective Teacher Efficacy for Math Data Teams in Kaua'i Complex Area Secondary Schools

ERIC Educational Resources Information Center

Ellwood, Cheryl Kathryn

2013-01-01

Professional learning communities and teacher efficacy are at the core of many of the current educational reform models. The intention of this dissertation was to identify the correlation between professional learning communities and collective teacher efficacy for math data teams in the six Kaua'i Complex Area secondary schools, as measured by…

Impact of Physical Activity Intervention Programs on Self-Efficacy in Youths: A Systematic Review

PubMed Central

Cataldo, Rosa; John, Janice; Chandran, Latha; Pati, Susmita; Shroyer, A. Laurie W.

2013-01-01

Lack of physical activity has contributed to the nation's childhood obesity crisis, but the impact of physical activity on self-efficacy as a mediator of behavior change has not been examined. This systematic review (SR) describes the published evidence related to the impact of physical activity intervention programs on self-efficacy among youths. From January 2000 to June 2011, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) standards were used to identify publications from PubMed, PsychInfo, Web of Knowledge, and the Cochran Database of Systematic Reviews. The Cochrane Population, Intervention, Control, Outcome, Study Design (PICOS) approach guided this SR articles selection and evaluation process. Of the 102 publications screened, 10 original studies matched the SR inclusion criteria. The types of physical activity interventions and self-efficacy assessments for these 10 studies were diverse. Of the 10 included articles, 6 articles identified an improvement in post-self-efficacy assessments compared to baseline and 4 showed no effect. In conclusion, physical activity intervention programs may improve self-efficacy in youths. A standardized approach to classify and measure self-efficacy is required. Further research is needed to quantify the association of self-efficacy ratings after completing physical activity interventions with objective health improvements, such as weight loss. PMID:24555151

Are Prospective Elementary School Teachers' Social Studies Teaching Efficacy Beliefs Related to Their Learning Approaches in a Social Studies Teaching Methods Course?

ERIC Educational Resources Information Center

Dündar, Sahin

2015-01-01

This study aimed to contribute to the growing literature on learning approaches and teacher self-efficacy beliefs by examining associations between prospective elementary school teachers' learning approaches in a social studies teaching methods course and their social studies teaching efficacy beliefs. One hundred ninety-two prospective elementary…

Improved therapy for neuroblastoma using a combination approach: superior efficacy with vismodegib and topotecan

PubMed Central

Chaturvedi, Nagendra K.; McGuire, Timothy R.; Coulter, Don W.; Shukla, Ashima; McIntyre, Erin M.; Sharp, John Graham; Joshi, Shantaram S.

2016-01-01

Aberrant activation/expression of pathways/molecules including NF-kB, mTOR, hedgehog and polo-like-kinase-1 (PLK1) are correlated with poor-prognosis neuroblastoma. Therefore, to identify a most efficacious treatment for neuroblastoma, we investigated the efficacy of NF-kB/mTOR dual-inhibitor 13-197, hedgehog inhibitor vismodegib and PLK1 inhibitor BI2536 alone or combined with topotecan against high-risk neuroblastoma. The in vitro efficacy of the inhibitors alone or combined with topotecan on cell growth/apoptosis and molecular mechanism(s) were investigated. Results showed that as single agents 13-197, BI2536 and vismodegib significantly decreased neuroblastoma cell growth and induced apoptosis by targeting associated pathways/molecules. In combination with topotecan, 13-197 did not show significant additive/synergistic effects against neuroblastoma. However, BI2536 or vismodegib further significantly decreased neuroblastoma cell growth/survival. These results clearly showed that vismodegib combination with topotecan was synergistic and more efficacious compared with BI2536 in combination. Together, in vitro data demonstrated that vismodegib was most efficacious in potentiating topotecan-induced antineuroblastoma effects. Therefore, we tested the combined efficacy of vismodegib and topotecan against neuroblastoma in vivo using NSG mice. This resulted in significantly (p<0.001) reduced tumor growth and increased survival of mice. Together, the combination of vismodegib and topotecan showed a significant enhanced antineuroblastoma efficacy by targeting associated pathways/molecules which warrants further preclinical evaluation for translation to the clinic. PMID:26934655

A vector space model approach to identify genetically related diseases.

PubMed

Sarkar, Indra Neil

2012-01-01

The relationship between diseases and their causative genes can be complex, especially in the case of polygenic diseases. Further exacerbating the challenges in their study is that many genes may be causally related to multiple diseases. This study explored the relationship between diseases through the adaptation of an approach pioneered in the context of information retrieval: vector space models. A vector space model approach was developed that bridges gene disease knowledge inferred across three knowledge bases: Online Mendelian Inheritance in Man, GenBank, and Medline. The approach was then used to identify potentially related diseases for two target diseases: Alzheimer disease and Prader-Willi Syndrome. In the case of both Alzheimer Disease and Prader-Willi Syndrome, a set of plausible diseases were identified that may warrant further exploration. This study furthers seminal work by Swanson, et al. that demonstrated the potential for mining literature for putative correlations. Using a vector space modeling approach, information from both biomedical literature and genomic resources (like GenBank) can be combined towards identification of putative correlations of interest. To this end, the relevance of the predicted diseases of interest in this study using the vector space modeling approach were validated based on supporting literature. The results of this study suggest that a vector space model approach may be a useful means to identify potential relationships between complex diseases, and thereby enable the coordination of gene-based findings across multiple complex diseases.

The Sources of Science Teaching Self-efficacy among Elementary School Teachers: A mediational model approach

NASA Astrophysics Data System (ADS)

Wang, Ya-Ling; Tsai, Chin-Chung; Wei, Shih-Hsuan

2015-09-01

This study aimed to investigate the factors accounting for science teaching self-efficacy and to examine the relationships among Taiwanese teachers' science teaching self-efficacy, teaching and learning conceptions, technological-pedagogical content knowledge for the Internet (TPACK-I), and attitudes toward Internet-based instruction (Attitudes) using a mediational model approach. A total of 233 science teachers from 41 elementary schools in Taiwan were invited to take part in the study. After ensuring the validity and reliability of each questionnaire, the results indicated that each measure had satisfactory validity and reliability. Furthermore, through mediational models, the results revealed that TPACK-I and Attitudes mediated the relationship between teaching and learning conceptions and science teaching self-efficacy, suggesting that (1) knowledge of and attitudes toward Internet-based instruction (KATII) mediated the positive relationship between constructivist conceptions of teaching and learning and outcome expectancy, and that (2) KATII mediated the negative correlations between traditional conceptions of teaching and learning and teaching efficacy.

Identifying Taiwanese University Students' Physics Learning Profiles and Their Role in Physics Learning Self-Efficacy

NASA Astrophysics Data System (ADS)

Lin, Tzung-Jin; Liang, Jyh-Chong; Tsai, Chin-Chung

2015-08-01

The main purposes of this study were to identify Taiwanese university students' physics learning profiles in terms of their critical conceptions of learning physics and to compare their physics learning self-efficacy with the different learning profiles. A total of 250 Taiwanese undergraduates who were majoring in physics participated in this study and were invited to complete two instruments, physics learning profile and physics learning self-efficacy (PLSE). The main results indicated that, first, the two instruments developed in this study had satisfactory validity and reliability. Second, three fundamental physics learning profiles, the reproductive, transitional, and constructive profiles, were characterized based on the cluster analysis. It is also evident that the three learning profiles demonstrated different levels of self-efficacy for the five PLSE dimensions. The students with a reproductive profile tended to possess the lowest PLSE across the five dimensions. The students with a transitional profile may possess higher confidence in higher-order cognitive skills and laboratory activities than those with a reproductive profile. However, only those with a constructive profile, highlighting a comprehensive understanding of physics knowledge/concepts as well as de-emphasizing physics learning as preparing for tests and calculating and practising tutorial problems, possessed stronger PLSE in applying what they learned to real-world contexts as well as in scientifically communicating with others.

Innovative Approaches to Improve Anti-Infective Vaccine Efficacy.

PubMed

Yeaman, Michael R; Hennessey, John P

2017-01-06

Safe and efficacious vaccines are arguably the most successful medical interventions of all time. Yet the ongoing discovery of new pathogens, along with emergence of antibiotic-resistant pathogens and a burgeoning population at risk of such infections, imposes unprecedented public health challenges. To meet these challenges, innovative strategies to discover and develop new or improved anti-infective vaccines are necessary. These approaches must intersect the most meaningful insights into protective immunity and advanced technologies with capabilities to deliver immunogens for optimal immune protection. This goal is considered through several recent advances in host-pathogen relationships, conceptual strides in vaccinology, and emerging technologies. Given a clear and growing risk of pandemic disease should the threat of infection go unmet, developing vaccines that optimize protective immunity against high-priority and antibiotic-resistant pathogens represents an urgent and unifying imperative.

Strengthening Resistance Self-Efficacy: Influence of Teaching Approaches and Gender on Different Consumption Groups

ERIC Educational Resources Information Center

Heyne, Thomas; Bogner, Franz X.

2009-01-01

Our study focused on strengthening the individual self-efficacy of low achieving 8th graders reducing drug-specific peer pressure through theoretical and practical training. The subject of the intervention was based on a substance-specific life skills program offering both teacher-centered and student-centered teaching approaches. A cluster…

Examining Elementary Teachers' Engineering Self-Efficacy and Engineering Teacher Efficacy

ERIC Educational Resources Information Center

Hammack, Rebekah; Ivey, Toni

2017-01-01

Research indicates that teacher efficacy influences student achievement and is situation specific. With the Next Generation Science Standards calling for the incorporation of engineering practices into K-12 classrooms, it is important to identify teachers' engineering teaching efficacy. A study of K-5 teachers' engineering self-efficacy and…

Investigating the Interrelationships among Conceptions of, Approaches to, and Self-Efficacy in Learning Science

ERIC Educational Resources Information Center

Zheng, Lanqin; Dong, Yan; Huang, Ronghuai; Chang, Chun-Yen; Bhagat, Kaushal Kumar

2018-01-01

The purpose of this study was to examine the relations between primary school students' conceptions of, approaches to, and self-efficacy in learning science in Mainland China. A total of 1049 primary school students from Mainland China participated in this study. Three instruments were adapted to measure students' conceptions of learning science,…

Identifying potential selective fluorescent probes for cancer-associated protein carbonic anhydrase IX using a computational approach.

PubMed

Kamstra, Rhiannon L; Floriano, Wely B

2014-11-01

Carbonic anhydrase IX (CAIX) is a biomarker for tumor hypoxia. Fluorescent inhibitors of CAIX have been used to study hypoxic tumor cell lines. However, these inhibitor-based fluorescent probes may have a therapeutic effect that is not appropriate for monitoring treatment efficacy. In the search for novel fluorescent probes that are not based on known inhibitors, a database of 20,860 fluorescent compounds was virtually screened against CAIX using hierarchical virtual ligand screening (HierVLS). The screening database contained 14,862 compounds tagged with the ATTO680 fluorophore plus an additional 5998 intrinsically fluorescent compounds. Overall ranking of compounds to identify hit molecular probe candidates utilized a principal component analysis (PCA) approach. Four potential binding sites, including the catalytic site, were identified within the structure of the protein and targeted for virtual screening. Available sequence information for 23 carbonic anhydrase isoforms was used to prioritize the four sites based on the estimated "uniqueness" of each site in CAIX relative to the other isoforms. A database of 32 known inhibitors and 478 decoy compounds was used to validate the methodology. A receiver-operating characteristic (ROC) analysis using the first principal component (PC1) as predictive score for the validation database yielded an area under the curve (AUC) of 0.92. AUC is interpreted as the probability that a binder will have a better score than a non-binder. The use of first component analysis of binding energies for multiple sites is a novel approach for hit selection. The very high prediction power for this approach increases confidence in the outcome from the fluorescent library screening. Ten of the top scoring candidates for isoform-selective putative binding sites are suggested for future testing as fluorescent molecular probe candidates. Copyright © 2014 Elsevier Inc. All rights reserved.

A Computer Vision Approach to Identify Einstein Rings and Arcs

NASA Astrophysics Data System (ADS)

Lee, Chien-Hsiu

2017-03-01

Einstein rings are rare gems of strong lensing phenomena; the ring images can be used to probe the underlying lens gravitational potential at every position angles, tightly constraining the lens mass profile. In addition, the magnified images also enable us to probe high-z galaxies with enhanced resolution and signal-to-noise ratios. However, only a handful of Einstein rings have been reported, either from serendipitous discoveries or or visual inspections of hundred thousands of massive galaxies or galaxy clusters. In the era of large sky surveys, an automated approach to identify ring pattern in the big data to come is in high demand. Here, we present an Einstein ring recognition approach based on computer vision techniques. The workhorse is the circle Hough transform that recognise circular patterns or arcs in the images. We propose a two-tier approach by first pre-selecting massive galaxies associated with multiple blue objects as possible lens, than use Hough transform to identify circular pattern. As a proof-of-concept, we apply our approach to SDSS, with a high completeness, albeit with low purity. We also apply our approach to other lenses in DES, HSC-SSP, and UltraVISTA survey, illustrating the versatility of our approach.

Selected approaches for rational drug design and high throughput screening to identify anti-cancer molecules.

PubMed

Hedvat, Michael; Emdad, Luni; Das, Swadesh K; Kim, Keetae; Dasgupta, Santanu; Thomas, Shibu; Hu, Bin; Zhu, Shan; Dash, Rupesh; Quinn, Bridget A; Oyesanya, Regina A; Kegelman, Timothy P; Sokhi, Upneet K; Sarkar, Siddik; Erdogan, Eda; Menezes, Mitchell E; Bhoopathi, Praveen; Wang, Xiang-Yang; Pomper, Martin G; Wei, Jun; Wu, Bainan; Stebbins, John L; Diaz, Paul W; Reed, John C; Pellecchia, Maurizio; Sarkar, Devanand; Fisher, Paul B

2012-11-01

Structure-based modeling combined with rational drug design, and high throughput screening approaches offer significant potential for identifying and developing lead compounds with therapeutic potential. The present review focuses on these two approaches using explicit examples based on specific derivatives of Gossypol generated through rational design and applications of a cancer-specificpromoter derived from Progression Elevated Gene-3. The Gossypol derivative Sabutoclax (BI-97C1) displays potent anti-tumor activity against a diverse spectrum of human tumors. The model of the docked structure of Gossypol bound to Bcl-XL provided a virtual structure-activity-relationship where appropriate modifications were predicted on a rational basis. These structure-based studies led to the isolation of Sabutoclax, an optically pure isomer of Apogossypol displaying superior efficacy and reduced toxicity. These studies illustrate the power of combining structure-based modeling with rational design to predict appropriate derivatives of lead compounds to be empirically tested and evaluated for bioactivity. Another approach to cancer drug discovery utilizes a cancer-specific promoter as readouts of the transformed state. The promoter region of Progression Elevated Gene-3 is such a promoter with cancer-specific activity. The specificity of this promoter has been exploited as a means of constructing cancer terminator viruses that selectively kill cancer cells and as a systemic imaging modality that specifically visualizes in vivo cancer growth with no background from normal tissues. Screening of small molecule inhibitors that suppress the Progression Elevated Gene-3-promoter may provide relevant lead compounds for cancer therapy that can be combined with further structure-based approaches leading to the development of novel compounds for cancer therapy.

An Examination of Reflective Thinking, Learning Approaches, and Self-Efficacy Beliefs at the University of the South Pacific: A Path Analysis Approach

ERIC Educational Resources Information Center

Phan, Huy P.

2007-01-01

This study examined the causal and mediating relations between students' learning approaches, self-efficacy beliefs, stages of reflective thinking, and academic performance. Second-year undergraduate students (n = 241; 118 females, 123 males) in the South Pacific were administered the revised version of Biggs' Study Process Questionnaire, the…

GTA: a game theoretic approach to identifying cancer subnetwork markers.

PubMed

Farahmand, S; Goliaei, S; Ansari-Pour, N; Razaghi-Moghadam, Z

2016-03-01

The identification of genetic markers (e.g. genes, pathways and subnetworks) for cancer has been one of the most challenging research areas in recent years. A subset of these studies attempt to analyze genome-wide expression profiles to identify markers with high reliability and reusability across independent whole-transcriptome microarray datasets. Therefore, the functional relationships of genes are integrated with their expression data. However, for a more accurate representation of the functional relationships among genes, utilization of the protein-protein interaction network (PPIN) seems to be necessary. Herein, a novel game theoretic approach (GTA) is proposed for the identification of cancer subnetwork markers by integrating genome-wide expression profiles and PPIN. The GTA method was applied to three distinct whole-transcriptome breast cancer datasets to identify the subnetwork markers associated with metastasis. To evaluate the performance of our approach, the identified subnetwork markers were compared with gene-based, pathway-based and network-based markers. We show that GTA is not only capable of identifying robust metastatic markers, it also provides a higher classification performance. In addition, based on these GTA-based subnetworks, we identified a new bonafide candidate gene for breast cancer susceptibility.

Perceptual Training Methods Compared: The Relative Efficacy of Different Approaches to Enhancing Sport-Specific Anticipation

ERIC Educational Resources Information Center

Abernethy, Bruce; Schorer, Jorg; Jackson, Robin C.; Hagemann, Norbert

2012-01-01

The comparative efficacy of different perceptual training approaches for the improvement of anticipation was examined using a goalkeeping task from European handball that required the rapid prediction of shot direction. Novice participants (N = 60) were assigned equally to four different training groups and two different control groups (a placebo…

Identifying novel biomarkers in sarcoidosis using genome-based approaches

PubMed Central

Knox, Kenneth S.; Garcia, Joe G.N.

2015-01-01

Synopsis We briefly review conventional biomarkers used clinically to 1) support a diagnosis and 2) monitor disease progression in patients with sarcoidosis. We describe potential new biomarkers identified by genome-wide screening and the approaches to discover these biomarkers. PMID:26593137

Cervical interlaminar epidural steroid injection for unilateral cervical radiculopathy: comparison of midline and paramedian approaches for efficacy.

PubMed

Yoon, Ji Young; Kwon, Jong Won; Yoon, Young Cheol; Lee, Jongseok

2015-01-01

The objective of this study was to compare the clinical outcomes of the cervical interlaminar epidural steroid injection (CIESI) for unilateral radiculopathy by the midline or paramedian approaches and to determine the prognostic factors of CIESI. We retrospectively analyzed 182 patients who underwent CIESI from January 2009 to December 2012. Inclusion criteria were no previous spinal steroid injection, presence of a cross-sectional image, and presence of follow-up records. Exclusion criteria were patients with bilateral cervical radiculopathy and/or dominant cervical axial pain, combined peripheral neuropathy, and previous cervical spine surgery. Short-term clinical outcomes were evaluated at the first follow-up after CIESI. We compared the clinical outcomes between the midline and paramedian approaches. Possible prognostic factors for the outcome, such as age, gender, duration of radiculopathy, and cause of radiculopathy were also analyzed. Cervical interlaminar epidural steroid injections were effective in 124 of 182 patients (68.1%) at the first follow-up. There was no significant difference in the clinical outcomes of CIESI, between midline (69.6%) and paramedian (63.7%) approaches (p = 0.723). Cause of radiculopathy was the only significant factor affecting the efficacy of CIESI. Patients with disc herniation had significantly better results than patients with neural foraminal stenosis (82.9% vs. 56.0%) (p < 0.001). There is no significant difference in treatment efficacy between the midline and paramedian approaches in CIESI, for unilateral radiculopathy. The cause of the radiculopathy is significantly associated with the treatment efficacy; patients with disc herniation experience better pain relief than those with neural foraminal stenosis.

English Teachers' Self-Efficacy Beliefs and Students Learning Approaches: The Role of Classroom Structure Perception

ERIC Educational Resources Information Center

Mazlum, Farhad; Cheraghi, Fereshteh; Dasta, Mahdi

2015-01-01

This study aimed at investigating the direct and indirect effects that teachers' self-efficacy beliefs exert on students' learning approaches via affecting their perceptions of classroom structure. The sample included 40 English teachers and 240 first-grade female students from high schools in Iran. To collect data, three questionnaires were…

Undergraduate Students' Earth Science Learning: Relationships among Conceptions, Approaches, and Learning Self-Efficacy in Taiwan

ERIC Educational Resources Information Center

Shen, Kuan-Ming; Lee, Min-Hsien; Tsai, Chin-Chung; Chang, Chun-Yen

2016-01-01

In the area of science education research, studies have attempted to investigate conceptions of learning, approaches to learning, and self-efficacy, mainly focusing on science in general or on specific subjects such as biology, physics, and chemistry. However, few empirical studies have probed students' earth science learning. This study aimed to…

Adapted Physical Education Service Approaches and the Effects on the Perceived Efficacy Beliefs of General Physical Education Teachers

ERIC Educational Resources Information Center

Umhoefer, Donna L.; Vargas, Tiffanye M.; Beyer, Robbi

2015-01-01

The purpose of this study was to determine what effect the type of APE service approach had on GPE teachers' efficacy when working with students with disabilities. The three approaches of APE service delivery chosen for the study were (a) consultation, (b) itinerant, and (c) collaborative. Results indicate significant differences between levels of…

Self-efficacy with application to adolescent smoking cessation: a concept analysis.

PubMed

Heale, Roberta; Griffin, Mary T Q

2009-04-01

This paper is a report of a concept analysis of adolescent smoking cessation self-efficacy. Smoking cessation is a key preventive care/health promotion strategy offered by nurses worldwide. Most programming is tailored to adults although the reasons for smoking, along with coping strategies, resources and developmental stage, differ in adolescence. Understanding of the concept of self-efficacy as it relates to the adolescent population will assist nurses in addressing smoking cessation behaviours with this population. The CINAHL and Proquest Nursing databases were searched for papers published between 1977 and 2007 using the keywords self-efficacy, adolescents and smoking cessation. The Walker and Avant method of concept analysis was applied. Adolescent smoking cessation self-efficacy is the confidence, perceived capacity and perceived ability that the teen possesses to quit smoking. Identified antecedents include developmental stage, past life support, emotional support, coping strategies, resources and emotional status. Consequences are smoking cessation: positive or negative. Empirical measures are identified. Levels of self-efficacy have been shown to be an important consideration in the approach of nurses to smoking cessation counselling with the adolescent client. The theoretical definition for this concept will provide the basis for nurses to design appropriate interventions for use in smoking cessation programmes targeted to adolescents. This definition identifies the key attributes of this concept that should be addressed when caring for this population.

Identified Palliative Care Approach Needs with SPICT in Family Practice: A Preliminary Observational Study.

PubMed

Hamano, Jun; Oishi, Ai; Kizawa, Yoshiyuki

2018-02-09

Identifying patients who require palliative care approach is challenging for family physicians, even though several identification tools have been developed for this purpose. To explore the prevalence and characteristics of family practice patients who need palliative care approach as determined using Supportive and Palliative Care Indicators Tool (SPICT™, April 2015) in Japan. Single-center cross-sectional study. We enrolled all patients ≥65 years of age who visited the chief researcher's outpatient clinic in October 2016. We used Japanese version of SPICT (SPICT-J) to identify patients who need palliative care approach. We assessed patients' backgrounds and whether they had undergone advance care planning with their family physicians. This study included 87 patients (61 females) with a mean age of 79.0 ± 7.4 years. Eight patients (9.2%) were identified as needing palliative care approach. The mean age of patients who needed this approach was 82.3 ± 8.3 years and main underlying conditions were heart/vascular disease (37.5%), dementia/frailty (25.0%), and respiratory disease (12.5%). Only two of eight patients identified as needing palliative care approach had discussed advance care planning with their family physicians. In family practice, 9.2% of outpatients ≥65 years of age were identified as needing palliative care approach. Family physicians should carefully evaluate whether outpatients need palliative care approach.

A Systematic Approach to Determining the Identifiability of Multistage Carcinogenesis Models.

PubMed

Brouwer, Andrew F; Meza, Rafael; Eisenberg, Marisa C

2017-07-01

Multistage clonal expansion (MSCE) models of carcinogenesis are continuous-time Markov process models often used to relate cancer incidence to biological mechanism. Identifiability analysis determines what model parameter combinations can, theoretically, be estimated from given data. We use a systematic approach, based on differential algebra methods traditionally used for deterministic ordinary differential equation (ODE) models, to determine identifiable combinations for a generalized subclass of MSCE models with any number of preinitation stages and one clonal expansion. Additionally, we determine the identifiable combinations of the generalized MSCE model with up to four clonal expansion stages, and conjecture the results for any number of clonal expansion stages. The results improve upon previous work in a number of ways and provide a framework to find the identifiable combinations for further variations on the MSCE models. Finally, our approach, which takes advantage of the Kolmogorov backward equations for the probability generating functions of the Markov process, demonstrates that identifiability methods used in engineering and mathematics for systems of ODEs can be applied to continuous-time Markov processes. © 2016 Society for Risk Analysis.

Identifying Immune Drivers of Gulf War Illness Using a Novel Daily Sampling Approach

DTIC Science & Technology

2017-10-01

AWARD NUMBER: W81XWH-12-1-0557 TITLE: Identifying Immune Drivers of Gulf War Illness Using a Novel Daily Sampling Approach PRINCIPAL...TITLE AND SUBTITLE Identifying Immune Drivers of Gulf War Illness Using A Novel 5a. CONTRACT NUMBER Daily Sampling Approach 5b. GRANT NUMBER...INTRODUCTION: The major aim of this research project is to identify aspects of the immune system that are dysregulated in veterans with Gulf War Illness

Cervical Interlaminar Epidural Steroid Injection for Unilateral Cervical Radiculopathy: Comparison of Midline and Paramedian Approaches for Efficacy

PubMed Central

Yoon, Ji Young; Yoon, Young Cheol; Lee, Jongseok

2015-01-01

Objective The objective of this study was to compare the clinical outcomes of the cervical interlaminar epidural steroid injection (CIESI) for unilateral radiculopathy by the midline or paramedian approaches and to determine the prognostic factors of CIESI. Materials and Methods We retrospectively analyzed 182 patients who underwent CIESI from January 2009 to December 2012. Inclusion criteria were no previous spinal steroid injection, presence of a cross-sectional image, and presence of follow-up records. Exclusion criteria were patients with bilateral cervical radiculopathy and/or dominant cervical axial pain, combined peripheral neuropathy, and previous cervical spine surgery. Short-term clinical outcomes were evaluated at the first follow-up after CIESI. We compared the clinical outcomes between the midline and paramedian approaches. Possible prognostic factors for the outcome, such as age, gender, duration of radiculopathy, and cause of radiculopathy were also analyzed. Results Cervical interlaminar epidural steroid injections were effective in 124 of 182 patients (68.1%) at the first follow-up. There was no significant difference in the clinical outcomes of CIESI, between midline (69.6%) and paramedian (63.7%) approaches (p = 0.723). Cause of radiculopathy was the only significant factor affecting the efficacy of CIESI. Patients with disc herniation had significantly better results than patients with neural foraminal stenosis (82.9% vs. 56.0%) (p < 0.001). Conclusion There is no significant difference in treatment efficacy between the midline and paramedian approaches in CIESI, for unilateral radiculopathy. The cause of the radiculopathy is significantly associated with the treatment efficacy; patients with disc herniation experience better pain relief than those with neural foraminal stenosis. PMID:25995690

Effects of a Metacognitive Intervention on Students' Approaches to Learning and Self-Efficacy in a First Year Medical Course

ERIC Educational Resources Information Center

Papinczak, Tracey; Young, Louise; Groves, Michele; Haynes, Michele

2008-01-01

Aim: To determine the influence of metacognitive activities within the PBL tutorial environment on the development of deep learning approach, reduction in surface approach, and enhancement of individual learning self-efficacy. Method: Participants were first-year medical students (N = 213). A pre-test, post-test design was implemented with…

A Functional Genomics Approach to Identify Novel Breast Cancer Gene Targets in Yeast

DTIC Science & Technology

2004-05-01

AD Award Number: DAMD17-03-1-0232 TITLE: A Functional Genomics Approach to Identify Novel Breast Cancer Gene Targets in Yeast PRINCIPAL INVESTIGATOR...Approach to Identify Novel Breast DAMD17-03-1-0232 Cancer Gene Targets in Yeast 6. A UTHOR(S) Craig Bennett, Ph.D. 7. PERFORMING ORGANIZA TION NAME(S...Unlimited 13. ABSTRACT (Maximum 200 Words) We are using the yeast Saccharomyces cerevisiae to identify new cancer gene targets that interact with the

A gender study investigating physics self-efficacy

NASA Astrophysics Data System (ADS)

Sawtelle, Vashti

The underrepresentation of women in physics has been well documented and a source of concern for both policy makers and educators. My dissertation focuses on understanding the role self-efficacy plays in retaining students, particularly women, in introductory physics. I use an explanatory mixed methods approach to first investigate quantitatively the influence of self-efficacy in predicting success and then to qualitatively explore the development of self-efficacy. In the initial quantitative studies, I explore the utility of self-efficacy in predicting the success of introductory physics students, both women and men. Results indicate that self-efficacy is a significant predictor of success for all students. I then disaggregate the data to examine how self-efficacy develops differently for women and men in the introductory physics course. Results show women rely on different sources of self-efficacy than do men, and that a particular instructional environment, Modeling Instruction, has a positive impact on these sources of self-efficacy. In the qualitative phase of the project, this dissertation focuses on the development of self-efficacy. Using the qualitative tool of microanalysis, I introduce a methodology for understanding how self-efficacy develops moment-by-moment using the lens of self-efficacy opportunities. I then use the characterizations of self-efficacy opportunities to focus on a particular course environment and to identify and describe a mechanism by which Modeling Instruction impacts student self-efficacy. Results indicate that the emphasizing the development and deployment of models affords opportunities to impact self-efficacy. The findings of this dissertation indicate that introducing key elements into the classroom, such as cooperative group work, model development and deployment, and interaction with the instructor, create a mechanism by which instructors can impact the self-efficacy of their students. Results from this study indicate that

The Relative Importance of Specific Self-Efficacy Sources in Pretraining Self-Efficacy Beliefs

ERIC Educational Resources Information Center

Howardson, Garett N.; Behrend, Tara S.

2015-01-01

Self-efficacy is clearly important for learning. Research identifying the most important sources of self-efficacy beliefs, however, has been somewhat limited to date in that different disciplines focus largely on different sources of self-efficacy. Whereas education researchers focus on Bandura's original sources of "enactive mastery,"…

The Safety and Efficacy of Approaches to Liver Resection: A Meta-Analysis

PubMed Central

Hauch, Adam; Hu, Tian; Buell, Joseph F.; Slakey, Douglas P.; Kandil, Emad

2015-01-01

Background: The aim of this study is to compare the safety and efficacy of conventional laparotomy with those of robotic and laparoscopic approaches to hepatectomy. Database: Independent reviewers conducted a systematic review of publications in PubMed and Embase, with searches limited to comparative articles of laparoscopic hepatectomy with either conventional or robotic liver approaches. Outcomes included total operative time, estimated blood loss, length of hospitalization, resection margins, postoperative complications, perioperative mortality rates, and cost measures. Outcome comparisons were calculated using random-effects models to pool estimates of mean net differences or of the relative risk between group outcomes. Forty-nine articles, representing 3702 patients, comprise this analysis: 1901 (51.35%) underwent a laparoscopic approach, 1741 (47.03%) underwent an open approach, and 60 (1.62%) underwent a robotic approach. There was no difference in total operative times, surgical margins, or perioperative mortality rates among groups. Across all outcome measures, laparoscopic and robotic approaches showed no difference. As compared with the minimally invasive groups, patients undergoing laparotomy had a greater estimated blood loss (pooled mean net change, 152.0 mL; 95% confidence interval, 103.3–200.8 mL), a longer length of hospital stay (pooled mean difference, 2.22 days; 95% confidence interval, 1.78–2.66 days), and a higher total complication rate (odds ratio, 0.5; 95% confidence interval, 0.42–0.57). Conclusion: Minimally invasive approaches to liver resection are as safe as conventional laparotomy, affording less estimated blood loss, shorter lengths of hospitalization, lower perioperative complication rates, and equitable oncologic integrity and postoperative mortality rates. There was no proven advantage of robotic approaches compared with laparoscopic approaches. PMID:25848191

A cross-species bi-clustering approach to identifying conserved co-regulated genes.

PubMed

Sun, Jiangwen; Jiang, Zongliang; Tian, Xiuchun; Bi, Jinbo

2016-06-15

A growing number of studies have explored the process of pre-implantation embryonic development of multiple mammalian species. However, the conservation and variation among different species in their developmental programming are poorly defined due to the lack of effective computational methods for detecting co-regularized genes that are conserved across species. The most sophisticated method to date for identifying conserved co-regulated genes is a two-step approach. This approach first identifies gene clusters for each species by a cluster analysis of gene expression data, and subsequently computes the overlaps of clusters identified from different species to reveal common subgroups. This approach is ineffective to deal with the noise in the expression data introduced by the complicated procedures in quantifying gene expression. Furthermore, due to the sequential nature of the approach, the gene clusters identified in the first step may have little overlap among different species in the second step, thus difficult to detect conserved co-regulated genes. We propose a cross-species bi-clustering approach which first denoises the gene expression data of each species into a data matrix. The rows of the data matrices of different species represent the same set of genes that are characterized by their expression patterns over the developmental stages of each species as columns. A novel bi-clustering method is then developed to cluster genes into subgroups by a joint sparse rank-one factorization of all the data matrices. This method decomposes a data matrix into a product of a column vector and a row vector where the column vector is a consistent indicator across the matrices (species) to identify the same gene cluster and the row vector specifies for each species the developmental stages that the clustered genes co-regulate. Efficient optimization algorithm has been developed with convergence analysis. This approach was first validated on synthetic data and compared

A discrete wavelet spectrum approach for identifying non-monotonic trends in hydroclimate data

NASA Astrophysics Data System (ADS)

Sang, Yan-Fang; Sun, Fubao; Singh, Vijay P.; Xie, Ping; Sun, Jian

2018-01-01

The hydroclimatic process is changing non-monotonically and identifying its trends is a great challenge. Building on the discrete wavelet transform theory, we developed a discrete wavelet spectrum (DWS) approach for identifying non-monotonic trends in hydroclimate time series and evaluating their statistical significance. After validating the DWS approach using two typical synthetic time series, we examined annual temperature and potential evaporation over China from 1961-2013 and found that the DWS approach detected both the warming and the warming hiatus in temperature, and the reversed changes in potential evaporation. Further, the identified non-monotonic trends showed stable significance when the time series was longer than 30 years or so (i.e. the widely defined climate timescale). The significance of trends in potential evaporation measured at 150 stations in China, with an obvious non-monotonic trend, was underestimated and was not detected by the Mann-Kendall test. Comparatively, the DWS approach overcame the problem and detected those significant non-monotonic trends at 380 stations, which helped understand and interpret the spatiotemporal variability in the hydroclimatic process. Our results suggest that non-monotonic trends of hydroclimate time series and their significance should be carefully identified, and the DWS approach proposed has the potential for wide use in the hydrological and climate sciences.

Mediation of an efficacious HIV risk reduction intervention for South African men.

PubMed

O'Leary, Ann; Jemmott, John B; Jemmott, Loretta S; Bellamy, Scarlett; Icard, Larry D; Ngwane, Zolani

2015-10-01

"Men, Together Making a Difference!" is an HIV/STD risk-reduction intervention that significantly increased self-reported consistent condom use during vaginal intercourse compared with a health-promotion attention-control intervention among men (N = 1181) in Eastern Cape Province, South Africa. The present analyses were designed to identify mediators of the intervention's efficacy. The potential mediators were Social Cognitive Theory (SCT) constructs that the intervention targeted, including several aspects of condom-use self-efficacy, outcome expectancies, and knowledge. Mediation was assessed using a product-of-coefficients approach where an α path (the intervention's effect on the potential mediator) and a β path (the potential mediator's effect on the outcome of interest, adjusting for intervention) were estimated independently in a generalized estimating equations framework. Condom-use negotiation self-efficacy, technical-skill self-efficacy, and impulse-control self-efficacy were significant mediators. Although not mediators, descriptive norm and expected friends' approval of condom use predicted subsequent self-reported condom use, whereas the expected approval of sexual partner did not. The present results suggest that HIV/STD risk-reduction interventions that draw upon SCT and that address self-efficacy to negotiate condom use, to apply condoms correctly, and to exercise sufficient control when sexually aroused to use condoms may contribute to efforts to reduce sexual risk behavior among South African men. Future research must examine whether approaches that build normative support for condom use among men's friends are also efficacious.

Quantitative and qualitative approaches to identifying migration chronology in a continental migrant

USGS Publications Warehouse

Beatty, William S.; Kesler, Dylan C.; Webb, Elisabeth B.; Raedeke, Andrew H.; Naylor, Luke W.; Humburg, Dale D.

2013-01-01

The degree to which extrinsic factors influence migration chronology in North American waterfowl has not been quantified, particularly for dabbling ducks. Previous studies have examined waterfowl migration using various methods, however, quantitative approaches to define avian migration chronology over broad spatio-temporal scales are limited, and the implications for using different approaches have not been assessed. We used movement data from 19 female adult mallards (Anas platyrhynchos) equipped with solar-powered global positioning system satellite transmitters to evaluate two individual level approaches for quantifying migration chronology. The first approach defined migration based on individual movements among geopolitical boundaries (state, provincial, international), whereas the second method modeled net displacement as a function of time using nonlinear models. Differences in migration chronologies identified by each of the approaches were examined with analysis of variance. The geopolitical method identified mean autumn migration midpoints at 15 November 2010 and 13 November 2011, whereas the net displacement method identified midpoints at 15 November 2010 and 14 November 2011. The mean midpoints for spring migration were 3 April 2011 and 20 March 2012 using the geopolitical method and 31 March 2011 and 22 March 2012 using the net displacement method. The duration, initiation date, midpoint, and termination date for both autumn and spring migration did not differ between the two individual level approaches. Although we did not detect differences in migration parameters between the different approaches, the net displacement metric offers broad potential to address questions in movement ecology for migrating species. Ultimately, an objective definition of migration chronology will allow researchers to obtain a comprehensive understanding of the extrinsic factors that drive migration at the individual and population levels. As a result, targeted

Quantitative and qualitative approaches to identifying migration chronology in a continental migrant.

PubMed

Beatty, William S; Kesler, Dylan C; Webb, Elisabeth B; Raedeke, Andrew H; Naylor, Luke W; Humburg, Dale D

2013-01-01

The degree to which extrinsic factors influence migration chronology in North American waterfowl has not been quantified, particularly for dabbling ducks. Previous studies have examined waterfowl migration using various methods, however, quantitative approaches to define avian migration chronology over broad spatio-temporal scales are limited, and the implications for using different approaches have not been assessed. We used movement data from 19 female adult mallards (Anas platyrhynchos) equipped with solar-powered global positioning system satellite transmitters to evaluate two individual level approaches for quantifying migration chronology. The first approach defined migration based on individual movements among geopolitical boundaries (state, provincial, international), whereas the second method modeled net displacement as a function of time using nonlinear models. Differences in migration chronologies identified by each of the approaches were examined with analysis of variance. The geopolitical method identified mean autumn migration midpoints at 15 November 2010 and 13 November 2011, whereas the net displacement method identified midpoints at 15 November 2010 and 14 November 2011. The mean midpoints for spring migration were 3 April 2011 and 20 March 2012 using the geopolitical method and 31 March 2011 and 22 March 2012 using the net displacement method. The duration, initiation date, midpoint, and termination date for both autumn and spring migration did not differ between the two individual level approaches. Although we did not detect differences in migration parameters between the different approaches, the net displacement metric offers broad potential to address questions in movement ecology for migrating species. Ultimately, an objective definition of migration chronology will allow researchers to obtain a comprehensive understanding of the extrinsic factors that drive migration at the individual and population levels. As a result, targeted

A new approach to estimate vaccine efficacy based on immunogenicity data applied to influenza vaccines administered by the intradermal or intramuscular routes.

PubMed

Coudeville, Laurent; Andre, Philippe; Bailleux, Fabrice; Weber, Françoise; Plotkin, Stanley

2010-10-01

Despite their pivotal role in the assessment of influenza vaccines, limited attempts have been made to use haemagglutination inhibition (HI) titers for predicting vaccine efficacy against laboratory-confirmed influenza. We present here the second step of a two-step approach allowing performing such predictions and use it to compare a new trivalent inactivated influenza vaccine administered by the intradermal (ID) route (INTANZA® /IDFlu®) with the vaccine administered by the classical intramuscular (IM) route. The first step corresponding to the estimation of the level of protection against laboratory-confirmed influenza that can be linked to each HI titer, referred to as the HI protection curve, was achieved by using a meta-analytical approach based on published information. Vaccine efficacy and differences in vaccine efficacy are predicted in a second step using this HI protection curve alongside the results of two randomized clinical trials providing comparative information on the immunogenicity of trivalent inactivated influenza vaccines administered ID or IM in 3503 & 1645 elderly participants, respectively. Pooling all available immunogenicity data, the predicted vaccine efficacy was 63.3% [CI: 58.1; 68.7] for ID route and 54.4% [CI: 49.4; 59.2] for IM route. The corresponding relative increase in efficacy that is of 16.5% [CI: 12.7; 20.1]. Predicted vaccine efficacies decreased with age for both vaccines, but the decrease was less marked by ID route: the relative increase in efficacy for subjects aged 70 years and above is of 18.0% [CI:12;24]. The analysis performed confirmed that the superior immune response provided by the vaccine using the ID route should translate into a higher vaccine efficacy against laboratory-confirmed influenza.

Identifying the Educationally Influential Physician: A Systematic Review of Approaches

ERIC Educational Resources Information Center

Kronberger, Matthew P.; Bakken, Lori L.

2011-01-01

Introduction: Previous studies have indicated that educationally influential physicians' (EIPs) interactions with peers can lead to practice changes and improved patient outcomes. However, multiple approaches have been used to identify and investigate EIPs' informal or formal influence on practice, which creates study outcomes that are difficult…

Identifying Effective Methods of Instruction for Adult Emergent Readers through Community-Based Research

ERIC Educational Resources Information Center

Blackmer, Rachel; Hayes-Harb, Rachel

2016-01-01

We present a community-based research project aimed at identifying effective methods and materials for teaching English literacy skills to adult English as a second language emergent readers. We conducted a quasi-experimental study whereby we evaluated the efficacy of two approaches, one based on current practices at the English Skills Learning…

The node-weighted Steiner tree approach to identify elements of cancer-related signaling pathways.

PubMed

Sun, Yahui; Ma, Chenkai; Halgamuge, Saman

2017-12-28

Cancer constitutes a momentous health burden in our society. Critical information on cancer may be hidden in its signaling pathways. However, even though a large amount of money has been spent on cancer research, some critical information on cancer-related signaling pathways still remains elusive. Hence, new works towards a complete understanding of cancer-related signaling pathways will greatly benefit the prevention, diagnosis, and treatment of cancer. We propose the node-weighted Steiner tree approach to identify important elements of cancer-related signaling pathways at the level of proteins. This new approach has advantages over previous approaches since it is fast in processing large protein-protein interaction networks. We apply this new approach to identify important elements of two well-known cancer-related signaling pathways: PI3K/Akt and MAPK. First, we generate a node-weighted protein-protein interaction network using protein and signaling pathway data. Second, we modify and use two preprocessing techniques and a state-of-the-art Steiner tree algorithm to identify a subnetwork in the generated network. Third, we propose two new metrics to select important elements from this subnetwork. On a commonly used personal computer, this new approach takes less than 2 s to identify the important elements of PI3K/Akt and MAPK signaling pathways in a large node-weighted protein-protein interaction network with 16,843 vertices and 1,736,922 edges. We further analyze and demonstrate the significance of these identified elements to cancer signal transduction by exploring previously reported experimental evidences. Our node-weighted Steiner tree approach is shown to be both fast and effective to identify important elements of cancer-related signaling pathways. Furthermore, it may provide new perspectives into the identification of signaling pathways for other human diseases.

Self Efficacy in Depression: Bridging the Gap Between Competence and Real World Functioning.

PubMed

Milanovic, Melissa; Ayukawa, Emma; Usyatynsky, Aleksandra; Holshausen, Katherine; Bowie, Christopher R

2018-05-01

We investigated the discrepancy between competence and real-world performance in major depressive disorder (MDD) for adaptive and interpersonal behaviors, determining whether self-efficacy significantly predicts this discrepancy, after considering depressive symptoms. Forty-two participants (Mage = 37.64, 66.67% female) with MDD were recruited from mental health clinics. Competence, self-efficacy, and real-world functioning were evaluated in adaptive and interpersonal domains; depressive symptoms were assessed with the Beck Depression Inventory II. Hierarchical regression analysis identified predictors of functional disability and the discrepancy between competence and real-world functioning. Self-efficacy significantly predicted functioning in the adaptive and interpersonal domains over and above depressive symptoms. Interpersonal self-efficacy accounted for significant variance in the discrepancy between interpersonal competence and functioning beyond symptoms. Using a multilevel, multidimensional approach, we provide the first data regarding relationships among competence, functioning, and self-efficacy in MDD. Self-efficacy plays an important role in deployment of functional skills in everyday life for individuals with MDD.

An Objective Approach for Burkholderia pseudomallei Strain Selection as Challenge Material for Medical Countermeasures Efficacy Testing

PubMed Central

Van Zandt, Kristopher E.; Tuanyok, Apichai; Keim, Paul S.; Warren, Richard L.; Gelhaus, H. Carl

2012-01-01

Burkholderia pseudomallei is the causative agent of melioidosis, a rare disease of biodefense concern with high mortality and extreme difficulty in treatment. No human vaccines are available that protect against B. pseudomallei infection, and with the current limitations of antibiotic treatment, the development of new preventative and therapeutic interventions is crucial. Although clinical trials could be used to test the efficacy of new medical countermeasures (MCMs), the high mortality rates associated with melioidosis raises significant ethical issues concerning treating individuals with new compounds with unknown efficacies. The US Food and Drug Administration (FDA) has formulated a set of guidelines for the licensure of new MCMs to treat diseases in which it would be unethical to test the efficacy of these drugs in humans. The FDA “Animal Rule” 21 CFR 314 calls for consistent, well-characterized B. pseudomallei strains to be used as challenge material in animal models. In order to facilitate the efficacy testing of new MCMs for melioidosis using animal models, we intend to develop a well-characterized panel of strains for use. This panel will comprise of strains that were isolated from human cases, have a low passage history, are virulent in animal models, and are well-characterized phenotypically and genotypically. We have reviewed published and unpublished data on various B. pseudomallei strains to establish an objective method for selecting the strains to be included in the panel of B. pseudomallei strains with attention to five categories: animal infection models, genetic characterization, clinical and passage history, and availability of the strain to the research community. We identified 109 strains with data in at least one of the five categories, scored each strain based on the gathered data and identified six strains as candidate for a B. pseudomallei strain panel. PMID:23057010

An objective approach for Burkholderia pseudomallei strain selection as challenge material for medical countermeasures efficacy testing.

PubMed

Van Zandt, Kristopher E; Tuanyok, Apichai; Keim, Paul S; Warren, Richard L; Gelhaus, H Carl

2012-01-01

Burkholderia pseudomallei is the causative agent of melioidosis, a rare disease of biodefense concern with high mortality and extreme difficulty in treatment. No human vaccines are available that protect against B. pseudomallei infection, and with the current limitations of antibiotic treatment, the development of new preventative and therapeutic interventions is crucial. Although clinical trials could be used to test the efficacy of new medical countermeasures (MCMs), the high mortality rates associated with melioidosis raises significant ethical issues concerning treating individuals with new compounds with unknown efficacies. The US Food and Drug Administration (FDA) has formulated a set of guidelines for the licensure of new MCMs to treat diseases in which it would be unethical to test the efficacy of these drugs in humans. The FDA "Animal Rule" 21 CFR 314 calls for consistent, well-characterized B. pseudomallei strains to be used as challenge material in animal models. In order to facilitate the efficacy testing of new MCMs for melioidosis using animal models, we intend to develop a well-characterized panel of strains for use. This panel will comprise of strains that were isolated from human cases, have a low passage history, are virulent in animal models, and are well-characterized phenotypically and genotypically. We have reviewed published and unpublished data on various B. pseudomallei strains to establish an objective method for selecting the strains to be included in the panel of B. pseudomallei strains with attention to five categories: animal infection models, genetic characterization, clinical and passage history, and availability of the strain to the research community. We identified 109 strains with data in at least one of the five categories, scored each strain based on the gathered data and identified six strains as candidate for a B. pseudomallei strain panel.

Self-efficacy as a health-protective resource in teachers? A biopsychological approach.

PubMed

Schwerdtfeger, Andreas; Konermann, Leslie; Schönhofen, Katja

2008-05-01

To examine the psychobiological correlates of self-efficacy in teachers. Study 1 examined associations between teacher self-efficacy and cardiac activation on a working day and Study 2 assessed the cortisol morning response in teachers with varying levels of teacher self-efficacy. Teacher self-efficacy was assessed by questionnaire. In Study 1 heart rate, heart rate variability, and locomotor activity were recorded by 22 hours ambulatory monitoring and subjective measures of stress and strain were obtained. Study 2 assessed the cortisol response to awakening to obtain a measure of HPA-axis activation and teachers filled in a questionnaire on physical complaints. Study 1 found that self-efficacy proved protective for psychological well-being. Moreover, after controlling for locomotor activity, demographic, and lifestyle variables, self-efficacy was associated with elevated heart rate and attenuated heart rate variability during school and leisure time, respectively, but not during the night, thus questioning the health-implications of self-efficacy. Study 2 found that teachers high in self-efficacy exhibited an attenuated cortisol response to awakening and fewer cardiac complaints. The results of both studies are compatible with the view that teacher self-efficacy might act as a physiological toughening agent with possibly favorable health outcomes.

Three novel approaches to structural identifiability analysis in mixed-effects models.

PubMed

Janzén, David L I; Jirstrand, Mats; Chappell, Michael J; Evans, Neil D

2016-05-06

Structural identifiability is a concept that considers whether the structure of a model together with a set of input-output relations uniquely determines the model parameters. In the mathematical modelling of biological systems, structural identifiability is an important concept since biological interpretations are typically made from the parameter estimates. For a system defined by ordinary differential equations, several methods have been developed to analyse whether the model is structurally identifiable or otherwise. Another well-used modelling framework, which is particularly useful when the experimental data are sparsely sampled and the population variance is of interest, is mixed-effects modelling. However, established identifiability analysis techniques for ordinary differential equations are not directly applicable to such models. In this paper, we present and apply three different methods that can be used to study structural identifiability in mixed-effects models. The first method, called the repeated measurement approach, is based on applying a set of previously established statistical theorems. The second method, called the augmented system approach, is based on augmenting the mixed-effects model to an extended state-space form. The third method, called the Laplace transform mixed-effects extension, is based on considering the moment invariants of the systems transfer function as functions of random variables. To illustrate, compare and contrast the application of the three methods, they are applied to a set of mixed-effects models. Three structural identifiability analysis methods applicable to mixed-effects models have been presented in this paper. As method development of structural identifiability techniques for mixed-effects models has been given very little attention, despite mixed-effects models being widely used, the methods presented in this paper provides a way of handling structural identifiability in mixed-effects models previously not

A genomic approach to identify hybrid incompatibility genes.

PubMed

Cooper, Jacob C; Phadnis, Nitin

2016-07-02

Uncovering the genetic and molecular basis of barriers to gene flow between populations is key to understanding how new species are born. Intrinsic postzygotic reproductive barriers such as hybrid sterility and hybrid inviability are caused by deleterious genetic interactions known as hybrid incompatibilities. The difficulty in identifying these hybrid incompatibility genes remains a rate-limiting step in our understanding of the molecular basis of speciation. We recently described how whole genome sequencing can be applied to identify hybrid incompatibility genes, even from genetically terminal hybrids. Using this approach, we discovered a new hybrid incompatibility gene, gfzf, between Drosophila melanogaster and Drosophila simulans, and found that it plays an essential role in cell cycle regulation. Here, we discuss the history of the hunt for incompatibility genes between these species, discuss the molecular roles of gfzf in cell cycle regulation, and explore how intragenomic conflict drives the evolution of fundamental cellular mechanisms that lead to the developmental arrest of hybrids.

A genomic approach to identify hybrid incompatibility genes

PubMed Central

Cooper, Jacob C.; Phadnis, Nitin

2016-01-01

ABSTRACT Uncovering the genetic and molecular basis of barriers to gene flow between populations is key to understanding how new species are born. Intrinsic postzygotic reproductive barriers such as hybrid sterility and hybrid inviability are caused by deleterious genetic interactions known as hybrid incompatibilities. The difficulty in identifying these hybrid incompatibility genes remains a rate-limiting step in our understanding of the molecular basis of speciation. We recently described how whole genome sequencing can be applied to identify hybrid incompatibility genes, even from genetically terminal hybrids. Using this approach, we discovered a new hybrid incompatibility gene, gfzf, between Drosophila melanogaster and Drosophila simulans, and found that it plays an essential role in cell cycle regulation. Here, we discuss the history of the hunt for incompatibility genes between these species, discuss the molecular roles of gfzf in cell cycle regulation, and explore how intragenomic conflict drives the evolution of fundamental cellular mechanisms that lead to the developmental arrest of hybrids. PMID:27230814

A Delphi Study: Identifying Strategies That Promote Student Self-Efficacy in the Middle Level Mathematics Classroom

ERIC Educational Resources Information Center

Kieschnick, Lauren E.

2013-01-01

This dissertation examines the strategies that promote mathematical self-efficacy in the middle level mathematics classroom. The need for more self-efficacious students to pursue mathematics is prevalent in the United States due to the need of workers in the STEM fields. Finding strategies to promote mathematical self-efficacy will provide…

Genome wide approaches to identify protein-DNA interactions.

PubMed

Ma, Tao; Ye, Zhenqing; Wang, Liguo

2018-05-29

Transcription factors are DNA-binding proteins that play key roles in many fundamental biological processes. Unraveling their interactions with DNA is essential to identify their target genes and understand the regulatory network. Genome-wide identification of their binding sites became feasible thanks to recent progress in experimental and computational approaches. ChIP-chip, ChIP-seq, and ChIP-exo are three widely used techniques to demarcate genome-wide transcription factor binding sites. This review aims to provide an overview of these three techniques including their experiment procedures, computational approaches, and popular analytic tools. ChIP-chip, ChIP-seq, and ChIP-exo have been the major techniques to study genome-wide in vivo protein-DNA interaction. Due to the rapid development of next-generation sequencing technology, array-based ChIP-chip is deprecated and ChIP-seq has become the most widely used technique to identify transcription factor binding sites in genome-wide. The newly developed ChIP-exo further improves the spatial resolution to single nucleotide. Numerous tools have been developed to analyze ChIP-chip, ChIP-seq and ChIP-exo data. However, different programs may employ different mechanisms or underlying algorithms thus each will inherently include its own set of statistical assumption and bias. So choosing the most appropriate analytic program for a given experiment needs careful considerations. Moreover, most programs only have command line interface so their installation and usage will require basic computation expertise in Unix/Linux. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

Web-Searching to Learn: The Role of Internet Self-Efficacy in Pre-School Educators' Conceptions and Approaches

ERIC Educational Resources Information Center

Kao, Chia-Pin; Chien, Hui-Min

2017-01-01

This study was conducted to explore the relationships between pre-school educators' conceptions of and approaches to learning by web-searching through Internet Self-efficacy. Based on data from 242 pre-school educators who had prior experience of participating in web-searching in Taiwan for path analyses, it was found in this study that…

Perceptual training methods compared: the relative efficacy of different approaches to enhancing sport-specific anticipation.

PubMed

Abernethy, Bruce; Schorer, Jörg; Jackson, Robin C; Hagemann, Norbert

2012-06-01

The comparative efficacy of different perceptual training approaches for the improvement of anticipation was examined using a goalkeeping task from European handball that required the rapid prediction of shot direction. Novice participants (N = 60) were assigned equally to four different training groups and two different control groups (a placebo group and a group who undertook no training). The training groups received either (i) explicit rules to guide anticipation; (ii) direction as to the location of the key anticipatory cues provided either just verbally (verbal cueing) or supplemented with color highlighting (color cueing); or (iii) undertook a matching judgment task to encourage implicit learning. Performance of the groups was compared on an anticipation test administered before training, after the training intervention, under a condition involving evaluative stress, and after a 5-month retention period. The explicit learning, verbal cueing, and implicit learning conditions provided the greatest sustained improvements in performance whereas the group given color cueing performed no better than the control groups. Only the implicit learning group showed performance superior to the control groups under the stress situation. The verbal cueing, color cueing, and implicit learning groups formulated the lowest number of explicit rules related to the critical shoulder cue although the reported use of general cues and rules based on all cues did not differ between any of the groups. Anticipation can be improved through a variety of different perceptual training approaches with the relative efficacy of the different approaches being contingent upon both the time scale and conditions under which learning is assessed.

Informational Sources, Self-Efficacy and Achievement: A Temporally Displaced Approach

ERIC Educational Resources Information Center

Phan, Huy Phuong

2012-01-01

Personal self-efficacy is an important theoretical orientation that helps to explain students' learning and academic achievements. One area of research inquiry has involved the four major sources of information and their predictive effects on self-efficacy. As an extension for examination, the purpose of our investigation was to explore the…

Identifiability and Performance Analysis of Output Over-sampling Approach to Direct Closed-loop Identification

NASA Astrophysics Data System (ADS)

Sun, Lianming; Sano, Akira

Output over-sampling based closed-loop identification algorithm is investigated in this paper. Some instinct properties of the continuous stochastic noise and the plant input, output in the over-sampling approach are analyzed, and they are used to demonstrate the identifiability in the over-sampling approach and to evaluate its identification performance. Furthermore, the selection of plant model order, the asymptotic variance of estimated parameters and the asymptotic variance of frequency response of the estimated model are also explored. It shows that the over-sampling approach can guarantee the identifiability and improve the performance of closed-loop identification greatly.

Alternative approaches for identifying acute systemic toxicity: Moving from research to regulatory testing.

PubMed

Hamm, Jon; Sullivan, Kristie; Clippinger, Amy J; Strickland, Judy; Bell, Shannon; Bhhatarai, Barun; Blaauboer, Bas; Casey, Warren; Dorman, David; Forsby, Anna; Garcia-Reyero, Natàlia; Gehen, Sean; Graepel, Rabea; Hotchkiss, Jon; Lowit, Anna; Matheson, Joanna; Reaves, Elissa; Scarano, Louis; Sprankle, Catherine; Tunkel, Jay; Wilson, Dan; Xia, Menghang; Zhu, Hao; Allen, David

2017-06-01

Acute systemic toxicity testing provides the basis for hazard labeling and risk management of chemicals. A number of international efforts have been directed at identifying non-animal alternatives for in vivo acute systemic toxicity tests. A September 2015 workshop, Alternative Approaches for Identifying Acute Systemic Toxicity: Moving from Research to Regulatory Testing, reviewed the state-of-the-science of non-animal alternatives for this testing and explored ways to facilitate implementation of alternatives. Workshop attendees included representatives from international regulatory agencies, academia, nongovernmental organizations, and industry. Resources identified as necessary for meaningful progress in implementing alternatives included compiling and making available high-quality reference data, training on use and interpretation of in vitro and in silico approaches, and global harmonization of testing requirements. Attendees particularly noted the need to characterize variability in reference data to evaluate new approaches. They also noted the importance of understanding the mechanisms of acute toxicity, which could be facilitated by the development of adverse outcome pathways. Workshop breakout groups explored different approaches to reducing or replacing animal use for acute toxicity testing, with each group crafting a roadmap and strategy to accomplish near-term progress. The workshop steering committee has organized efforts to implement the recommendations of the workshop participants. Copyright © 2017 Elsevier Ltd. All rights reserved.

Alternative Approaches for Identifying Acute Systemic Toxicity: Moving from Research to Regulatory Testing

PubMed Central

Hamm, Jon; Sullivan, Kristie; Clippinger, Amy J.; Strickland, Judy; Bell, Shannon; Bhhatarai, Barun; Blaauboer, Bas; Casey, Warren; Dorman, David; Forsby, Anna; Garcia-Reyero, Natàlia; Gehen, Sean; Graepel, Rabea; Hotchkiss, Jon; Lowit, Anna; Matheson, Joanna; Reaves, Elissa; Scarano, Louis; Sprankle, Catherine; Tunkel, Jay; Wilson, Dan; Xia, Menghang; Zhu, Hao; Allen, David

2017-01-01

Acute systemic toxicity testing provides the basis for hazard labeling and risk management of chemicals. A number of international efforts have been directed at identifying non-animal alternatives for in vivo acute systemic toxicity tests. A September 2015 workshop, Alternative Approaches for Identifying Acute Systemic Toxicity: Moving from Research to Regulatory Testing, reviewed the state-of-the-science of non-animal alternatives for this testing and explored ways to facilitate implementation of alternatives. Workshop attendees included representatives from international regulatory agencies, academia, nongovernmental organizations, and industry. Resources identified as necessary for meaningful progress in implementing alternatives included compiling and making available high-quality reference data, training on use and interpretation of in vitro and in silico approaches, and global harmonization of testing requirements. Attendees particularly noted the need to characterize variability in reference data to evaluate new approaches. They also noted the importance of understanding the mechanisms of acute toxicity, which could be facilitated by the development of adverse outcome pathways. Workshop breakout groups explored different approaches to reducing or replacing animal use for acute toxicity testing, with each group crafting a roadmap and strategy to accomplish near-term progress. The workshop steering committee has organized efforts to implement the recommendations of the workshop participants. PMID:28069485

A Faith-Based and Cultural Approach to Promoting Self-Efficacy and Regular Exercise in Older African American Women

ERIC Educational Resources Information Center

Quinn, Mary Ellen; Guion, W. Kent

2010-01-01

The health benefits of regular exercise are well documented, yet there has been limited success in the promotion of regular exercise in older African American women. Based on theoretical and evidence-based findings, the authors recommend a behavioral self-efficacy approach to guide exercise interventions in this high-risk population. Interventions…

A proteomic approach to identifying new drug targets (potentiating topoisomerase II poisons).

PubMed

Jenkins, J R

2008-10-01

Topoisomerase II poisons are an established part of best clinical practice for the treatment of a number of solid tumours and haematological malignancies. However, toxicity and resistance to chemotherapeutic drugs often complicate the treatment. Furthermore, topoisomerase II poisons can also induce sister chromatid exchange, chromosomal recombination and chromosome aberrations and are associated with a significant risk of secondary leukaemia. It would therefore be of great clinical benefit if the efficacy of topoisomerase II inhibitors could be enhanced without the increased toxic side effects. It is proposed that clinical agents targeting topoisomerase II can be enhanced by inhibiting proteins that modulate topoisomerase II. The aim is to identify proteins, that by the nature of their interaction with topoisomerase II, represent putative drug targets.

[Efficacy of the program "Testas's (mis)adventures" to promote the deep approach to learning].

PubMed

Rosário, Pedro; González-Pienda, Julio Antonio; Cerezo, Rebeca; Pinto, Ricardo; Ferreira, Pedro; Abilio, Lourenço; Paiva, Olimpia

2010-11-01

This paper provides information about the efficacy of a tutorial training program intended to enhance elementary fifth graders' study processes and foster their deep approaches to learning. The program "Testas's (mis)adventures" consists of a set of books in which Testas, a typical student, reveals and reflects upon his life experiences during school years. These life stories are nothing but an opportunity to present and train a wide range of learning strategies and self-regulatory processes, designed to insure students' deeper preparation for present and future learning challenges. The program has been developed along a school year, in a one hour weekly tutorial sessions. The training program had a semi-experimental design, included an experimental group (n=50) and a control one (n=50), and used pre- and posttest measures (learning strategies' declarative knowledge, learning approaches and academic achievement). Data suggest that the students enrolled in the training program, comparing with students in the control group, showed a significant improvement in their declarative knowledge of learning strategies and in their deep approach to learning, consequently lowering their use of a surface approach. In spite of this, in what concerns to academic achievement, no statistically significant differences have been found.

A comparison of approaches for finding minimum identifying codes on graphs

NASA Astrophysics Data System (ADS)

Horan, Victoria; Adachi, Steve; Bak, Stanley

2016-05-01

In order to formulate mathematical conjectures likely to be true, a number of base cases must be determined. However, many combinatorial problems are NP-hard and the computational complexity makes this research approach difficult using a standard brute force approach on a typical computer. One sample problem explored is that of finding a minimum identifying code. To work around the computational issues, a variety of methods are explored and consist of a parallel computing approach using MATLAB, an adiabatic quantum optimization approach using a D-Wave quantum annealing processor, and lastly using satisfiability modulo theory (SMT) and corresponding SMT solvers. Each of these methods requires the problem to be formulated in a unique manner. In this paper, we address the challenges of computing solutions to this NP-hard problem with respect to each of these methods.

An information-theoretic approach to assess practical identifiability of parametric dynamical systems.

PubMed

Pant, Sanjay; Lombardi, Damiano

2015-10-01

A new approach for assessing parameter identifiability of dynamical systems in a Bayesian setting is presented. The concept of Shannon entropy is employed to measure the inherent uncertainty in the parameters. The expected reduction in this uncertainty is seen as the amount of information one expects to gain about the parameters due to the availability of noisy measurements of the dynamical system. Such expected information gain is interpreted in terms of the variance of a hypothetical measurement device that can measure the parameters directly, and is related to practical identifiability of the parameters. If the individual parameters are unidentifiable, correlation between parameter combinations is assessed through conditional mutual information to determine which sets of parameters can be identified together. The information theoretic quantities of entropy and information are evaluated numerically through a combination of Monte Carlo and k-nearest neighbour methods in a non-parametric fashion. Unlike many methods to evaluate identifiability proposed in the literature, the proposed approach takes the measurement-noise into account and is not restricted to any particular noise-structure. Whilst computationally intensive for large dynamical systems, it is easily parallelisable and is non-intrusive as it does not necessitate re-writing of the numerical solvers of the dynamical system. The application of such an approach is presented for a variety of dynamical systems--ranging from systems governed by ordinary differential equations to partial differential equations--and, where possible, validated against results previously published in the literature. Copyright © 2015 Elsevier Inc. All rights reserved.

An integrated remote sensing approach for identifying ecological range sites. [parker mountain

NASA Technical Reports Server (NTRS)

Jaynes, R. A.

1983-01-01

A model approach for identifying ecological range sites was applied to high elevation sagebrush-dominated rangelands on Parker Mountain, in south-central Utah. The approach utilizes map information derived from both high altitude color infrared photography and LANDSAT digital data, integrated with soils, geological, and precipitation maps. Identification of the ecological range site for a given area requires an evaluation of all relevant environmental factors which combine to give that site the potential to produce characteristic types and amounts of vegetation. A table is presented which allows the user to determine ecological range site based upon an integrated use of the maps which were prepared. The advantages of identifying ecological range sites through an integrated photo interpretation/LANDSAT analysis are discussed.

Maximal Predictability Approach for Identifying the Right Descriptors for Electrocatalytic Reactions.

PubMed

Krishnamurthy, Dilip; Sumaria, Vaidish; Viswanathan, Venkatasubramanian

2018-02-01

Density functional theory (DFT) calculations are being routinely used to identify new material candidates that approach activity near fundamental limits imposed by thermodynamics or scaling relations. DFT calculations are associated with inherent uncertainty, which limits the ability to delineate materials (distinguishability) that possess high activity. Development of error-estimation capabilities in DFT has enabled uncertainty propagation through activity-prediction models. In this work, we demonstrate an approach to propagating uncertainty through thermodynamic activity models leading to a probability distribution of the computed activity and thereby its expectation value. A new metric, prediction efficiency, is defined, which provides a quantitative measure of the ability to distinguish activity of materials and can be used to identify the optimal descriptor(s) ΔG opt . We demonstrate the framework for four important electrochemical reactions: hydrogen evolution, chlorine evolution, oxygen reduction and oxygen evolution. Future studies could utilize expected activity and prediction efficiency to significantly improve the prediction accuracy of highly active material candidates.

Relations between Informational Sources, Self-Efficacy and Academic Achievement: A Developmental Approach

ERIC Educational Resources Information Center

Phan, Huy Phuong

2012-01-01

As a cognitive-motivational construct, self-efficacy has been researched extensively and has involved two important lines of inquiries, namely the impact of sources of information on self-efficacy and the predictive effect of self-efficacy on learning outcomes. We proposed and tested the relations between the four major sources of information…

Resampling procedures to identify important SNPs using a consensus approach.

PubMed

Pardy, Christopher; Motyer, Allan; Wilson, Susan

2011-11-29

Our goal is to identify common single-nucleotide polymorphisms (SNPs) (minor allele frequency > 1%) that add predictive accuracy above that gained by knowledge of easily measured clinical variables. We take an algorithmic approach to predict each phenotypic variable using a combination of phenotypic and genotypic predictors. We perform our procedure on the first simulated replicate and then validate against the others. Our procedure performs well when predicting Q1 but is less successful for the other outcomes. We use resampling procedures where possible to guard against false positives and to improve generalizability. The approach is based on finding a consensus regarding important SNPs by applying random forests and the least absolute shrinkage and selection operator (LASSO) on multiple subsamples. Random forests are used first to discard unimportant predictors, narrowing our focus to roughly 100 important SNPs. A cross-validation LASSO is then used to further select variables. We combine these procedures to guarantee that cross-validation can be used to choose a shrinkage parameter for the LASSO. If the clinical variables were unavailable, this prefiltering step would be essential. We perform the SNP-based analyses simultaneously rather than one at a time to estimate SNP effects in the presence of other causal variants. We analyzed the first simulated replicate of Genetic Analysis Workshop 17 without knowledge of the true model. Post-conference knowledge of the simulation parameters allowed us to investigate the limitations of our approach. We found that many of the false positives we identified were substantially correlated with genuine causal SNPs.

Online Course Increases Nutrition Professionals' Knowledge, Skills, and Self-Efficacy in Using an Ecological Approach to Prevent Childhood Obesity

ERIC Educational Resources Information Center

Stark, Christina M.; Graham-Kiefer, Meredith L.; Devine, Carol M.; Dollahite, Jamie S.; Olson, Christine M.

2011-01-01

Objective: To assess the impact of an online continuing education course on the knowledge, skills, and self-efficacy of nutrition professionals to use an ecological approach to prevent childhood obesity. Design: Quasi-experimental design using intervention and delayed intervention comparison groups with pre/post-course assessments. Setting: Online…

Predictive biomarkers of sorafenib efficacy in advanced hepatocellular carcinoma: Are we getting there?

PubMed Central

Shao, Yu-Yun; Hsu, Chih-Hung; Cheng, Ann-Lii

2015-01-01

Sorafenib is the current standard treatment for advanced hepatocellular carcinoma (HCC), but its efficacy is modest with low response rates and short response duration. Predictive biomarkers for sorafenib efficacy are necessary. However, efforts to determine biomarkers for sorafenib have led only to potential candidates rather than clinically useful predictors. Studies based on patient cohorts identified the potential of blood levels of angiopoietin-2, hepatocyte growth factor, insulin-like growth factor-1, and transforming growth factor-β1 for predicting sorafenib efficacy. Alpha-fetoprotein response, dynamic contrast-enhanced magnetic resonance imaging, and treatment-related side effects may serve as early surrogate markers. Novel approaches based on super-responders or experimental mouse models may provide new directions in biomarker research. These studies identified tumor amplification of FGF3/FGF4 or VEGFA and tumor expression of phospho-Mapk14 and phospho-Atf2 as possible predictive markers that await validation. A group effort that considers various prognostic factors and proper collection of tumor tissues before treatment is imperative for the success of future biomarker research in advanced HCC. PMID:26420960

Predictive biomarkers of sorafenib efficacy in advanced hepatocellular carcinoma: Are we getting there?

PubMed

Shao, Yu-Yun; Hsu, Chih-Hung; Cheng, Ann-Lii

2015-09-28

Sorafenib is the current standard treatment for advanced hepatocellular carcinoma (HCC), but its efficacy is modest with low response rates and short response duration. Predictive biomarkers for sorafenib efficacy are necessary. However, efforts to determine biomarkers for sorafenib have led only to potential candidates rather than clinically useful predictors. Studies based on patient cohorts identified the potential of blood levels of angiopoietin-2, hepatocyte growth factor, insulin-like growth factor-1, and transforming growth factor-β1 for predicting sorafenib efficacy. Alpha-fetoprotein response, dynamic contrast-enhanced magnetic resonance imaging, and treatment-related side effects may serve as early surrogate markers. Novel approaches based on super-responders or experimental mouse models may provide new directions in biomarker research. These studies identified tumor amplification of FGF3/FGF4 or VEGFA and tumor expression of phospho-Mapk14 and phospho-Atf2 as possible predictive markers that await validation. A group effort that considers various prognostic factors and proper collection of tumor tissues before treatment is imperative for the success of future biomarker research in advanced HCC.

Tripartite efficacy profiles: a cluster analytic investigation of athletes' perceptions of their relationship with their coach.

PubMed

Jackson, Ben; Gucciardi, Daniel F; Dimmock, James A

2011-06-01

Recent studies of coach-athlete interaction have explored the bivariate relationships between each of the tripartite efficacy constructs (self-efficacy; other-efficacy; relation-inferred self-efficacy, or RISE) and various indicators of relationship quality. This investigation adopted an alternative approach by using cluster analyses to identify tripartite efficacy profiles within a sample of 377 individual sport athletes (Mage = 20.25, SD = 2.12), and examined how individuals in each cluster group differed in their perceptions about their relationship with their coach (i.e., commitment, satisfaction, conflict). Four clusters emerged: High (n = 128), Moderate (n = 95), and Low (n = 78) profiles, in which athletes reported relatively high, moderate, or low scores across all tripartite perceptions, respectively, as well as an Unfulfilled profile (n = 76) in which athletes held relatively high self-efficacy, but perceived lower levels of other-efficacy and RISE. Multivariate analyses revealed differences between the clusters on all relationship variables that were in line with theory. These results underscore the utility of considering synergistic issues in the examination of the tripartite efficacy framework.

Culling a clinical terminology: a systematic approach to identifying problematic content.

PubMed Central

Sable, J. H.; Nash, S. K.; Wang, A. Y.

2001-01-01

The College of American Pathologists and the National Health Service (NHS) in the United Kingdom are merging their respective clinical terminologies, SNOMED RT and Clinical Terms Version 3, into a new terminology, SNOMED CT. This requires mapping concept descriptions between the two existing terminologies. During the mapping process, many descriptions were identified as being potentially problematic. They require further review by the SNOMED editorial process before either (1) being incorporated into SNOMED CT, or (2) retired from active use. This article presents data on the concept descriptions that were identified as needing further review during the early phases of SNOMED CT development. Based on this work, we describe fourteen types of problematic terminology content. Identifying problematic terminology content can be approached in a systematic manner. PMID:11825253

Biotechnological Approaches to Enhance Halotolerance and Photosynthetic Efficacy in the Cyanobacterium, Fremyella diplosiphon

NASA Astrophysics Data System (ADS)

Tabatabai, Ben

Growing concerns over dwindling energy supplies linked to nonrenewable fossil fuels have driven profound interest in biofuels as a clean and sustainable alternative. Cyanobacteria are a promising source of third-generation biofuel due to their fast generation time and high net biomass conversion. In this study, the effect of salinity stress on Fremyella diplosiphon, a model organism for studying photosynthetic pathways, was investigated and nanobiotechnological approaches undertaken to enhance its halotolerance and photosynthetic efficacy. Heat-induced mutagenesis resulted in a mutant strain that could survive in 20 g L-1 sodium chloride (NaCl) with no loss in pigmentation. To further enhance F. diplosiphon halotolerance, expression plasmids harboring the hlyB and mdh genes were overexpressed in the wild type resulting in two transformants that thrived in 35 g L-1 NaCl, the average salinity of sea water. In addition, no significant reduction in photosynthetic efficacy was detected in the halotolerant strains relative to the wild type. Total lipid content and fatty acid methyl ester composition of wild type and halotolerant strains were assessed for their potential as a production-scale biofuel agent. Methyl palmitate, the methyl ester of hexodeconoate (C16:0), was found to be most abundant in the wild type and transformants accounting for 60-70% of total FAMEs produced. Efforts to enhance the photosynthetic efficiency of the strains revealed that gold nanoparticle-derived surface plasmon resonance augmented culture growth and pigment accumulation. Cell-nanoparticles interactions were visualized using scanning and transmission electron microscopy. Our findings address two key challenges that cyanobacterial biofuel agents need to overcome: enhanced halotolerance and photosynthetic efficacy to minimize freshwater input and artificial light supply. These innovations have paved the way for an efficient cyanobacterial cultivation system for large-scale production of

Self-efficacy and quality of life in adults who stutter.

PubMed

Carter, Alice; Breen, Lauren; Yaruss, J Scott; Beilby, Janet

2017-12-01

Self-efficacy has emerged as a potential predictor of quality of life for adults who stutter. Research has focused primarily on the positive relationship self-efficacy has to treatment outcomes, but little is known about the relationship between self-efficacy and quality of life for adults who stutter. The purpose of this mixed- methods study is to determine the predictive value of self-efficacy and its relationship to quality of life for adults who stutter. The Self-Efficacy Scale for Adult Stutterers and the Overall Assessment of the Speaker's Experience with Stuttering were administered to 39 adults who stutter, aged 18- 77. Percentage of syllables stuttered was calculated from a conversational speech sample as a measure of stuttered speech frequency. Qualitative interviews with semi-structured probes were conducted with 10 adults and analyzed using thematic analysis to explore the lived experience of adults who stutter. Self-efficacy emerged as a strong positive predictor of quality of life for adults living with a stuttered speech disorder. Stuttered speech frequency was a moderate negative predictor of self-efficacy. Major qualitative themes identified from the interviews with the participants were: encumbrance, self-concept, confidence, acceptance, life-long journey, treatment, and support. Results provide clarity on the predictive value of self-efficacy and its relationship to quality of life and stuttered speech frequency. Findings highlight that the unique life experiences of adults who stutter require a multidimensional approach to the assessment and treatment of stuttered speech disorders. Crown Copyright © 2017. Published by Elsevier Inc. All rights reserved.

The Effect of Neck-specific Exercise With, or Without a Behavioral Approach, on Pain, Disability, and Self-Efficacy in Chronic Whiplash-associated Disorders

PubMed Central

Peterson, Gunnel; O’Leary, Shaun; Dedering, Åsa; Peolsson, Anneli

2015-01-01

Objectives: The aim of this study was to compare the effect on self-rated pain, disability, and self-efficacy of 3 interventions for the management of chronic whiplash-associated disorders: physiotherapist-led neck-specific exercise (NSE), physiotherapist-led NSE with the addition of a behavioral approach, or Prescription of Physical Activity (PPA). Materials and Methods: A total of 216 volunteers with chronic whiplash-associated disorders participated in this randomized, assessor blinded, clinical trial of 3 exercise interventions. Self-rated pain/pain bothersomeness (Visual Analogue Scale), disability (Neck Disability Index), and self-efficacy (Self-Efficacy Scale) were evaluated at baseline and at 3 and 6 months. Results: The proportion of patients reaching substantial reduction in pain bothersomness (at least 50% reduction) was more evident (P<0.01) in the 2 NSE groups (29% to 48%) compared with the PPA group (5%) at 3 months. At 6 months 39% to 44% of the patients in the 2 neck-specific groups and 28% in the PPA group reported substantial pain reduction. Reduction of disability was also larger in the 2 neck-specific exercise groups at both 3 and 6 months (P<0.02). Self-efficacy was only improved in the NSE group without a behavioral approach (P=0.02). However, there were no significant differences in any outcomes between the 2 physiotherapist-led NSE groups. Discussion: NSE resulted in superior outcomes compared with PPA in this study, but the observed benefits of adding a behavioral approach to the implementation of exercise in this study were inconclusive. PMID:24918474

The efficacy of student-centered instruction in supporting science learning.

PubMed

Granger, E M; Bevis, T H; Saka, Y; Southerland, S A; Sampson, V; Tate, R L

2012-10-05

Transforming science learning through student-centered instruction that engages students in a variety of scientific practices is central to national science-teaching reform efforts. Our study employed a large-scale, randomized-cluster experimental design to compare the effects of student-centered and teacher-centered approaches on elementary school students' understanding of space-science concepts. Data included measures of student characteristics and learning and teacher characteristics and fidelity to the instructional approach. Results reveal that learning outcomes were higher for students enrolled in classrooms engaging in scientific practices through a student-centered approach; two moderators were identified. A statistical search for potential causal mechanisms for the observed outcomes uncovered two potential mediators: students' understanding of models and evidence and the self-efficacy of teachers.

Identifying patients with cost-related medication non-adherence: a big-data approach.

PubMed

Zhang, James X; Meltzer, David O

2016-08-01

Millions of Americans encounter access barriers to medication due to cost; however, to date, there is no effective screening tool that identifies patients at risk of cost-related medication non-adherence (CRN). By utilizing a big-data approach to combining the survey data and electronic health records (EHRs), this study aimed to develop a method of identifying patients at risk of CRN. CRN data were collected by surveying patients about CRN behaviors in the past 3 months. By matching the dates of patients' receipt of monthly Social Security (SS) payments and the dates of prescription orders for 559 Medicare beneficiaries who were primary SS claimants at high risk of hospitalization in an urban academic medical center, this study identified patients who ordered their outpatient prescription within 2 days of receipt of monthly SS payments in 2014. The predictive power of this information on CRN was assessed using multivariate logistic regression analysis. Among the 559 Medicare patients at high risk of hospitalization, 137 (25%) reported CRN. Among those with CRN, 96 (70%) had ordered prescriptions on receipt of SS payments one or more times in 2014. The area under the Receiver Operating Curve was 0.70 using the predictive model in multivariate logistic regression analysis. With a new approach to combining the survey data and EHR data, patients' behavior in delaying filling of prescription until funds from SS checks become available can be measured, providing some predictive value for cost-related medication non-adherence. The big-data approach is a valuable tool to identify patients at risk of CRN and can be further expanded to the general population and sub-populations, providing a meaningful risk-stratification for CRN and facilitating physician-patient communication to reduce CRN.

Efficacy and toxicity differences in lung cancer populations in the era of clinical trials globalization: the 'common arm' approach.

PubMed

Mack, Philip C; Gandara, David R; Lara, Primo N

2012-12-01

Historically, notable variability has been observed in clinical trial outcomes between different regions and populations worldwide, even when employing the same cytotoxic regimen in lung cancer. These divergent results underscore the inherent challenges in interpreting trials conducted abroad and raise questions regarding the general applicability of transnational clinical trials. Various reasons have been postulated to account for these differences in efficacy and toxicity, including trial design, eligibility criteria, patient demographics and, perhaps most intriguingly, population-related pharmacogenomics. However, without methodology to control for such variables, these hypotheses remain largely untested. The authors previously developed the 'common arm' approach in order to directly compare efficacy and toxicity results of trials simultaneously performed in different countries. By standardizing clinical trial-associated variables such as treatment regimens (dose, schedule, and so on), eligibility, staging, response and toxicity criteria, this approach has the potential to determine the underlying reasons for divergences in trial outcomes across countries, and whether population-associated polymorphisms contribute to these differences. In the past decade, Japanese and US investigators have applied the common arm analytic method to trials in both extensive-stage small-cell lung cancer (SCLC) and advanced nonSCLC. In the SCLC analysis, a comparison of the cisplatin/irinotecan arms from both trials revealed significant differences in response rates and overall survival. Significant differences were also observed in the distribution of gender and performance status. The common arm analysis in nonSCLC included two trials from Japan and one from the USA, each containing a 'common' carboplatin/paclitaxel arm. Clinical results were similar in the two Japanese trials, but were significantly different from the US trial with regard to survival, neutropenia, febrile

Identifying apicoplast-targeting antimalarials using high-throughput compatible approaches

PubMed Central

Ekland, Eric H.; Schneider, Jessica; Fidock, David A.

2011-01-01

Malarial parasites have evolved resistance to all previously used therapies, and recent evidence suggests emerging resistance to the first-line artemisinins. To identify antimalarials with novel mechanisms of action, we have developed a high-throughput screen targeting the apicoplast organelle of Plasmodium falciparum. Antibiotics known to interfere with this organelle, such as azithromycin, exhibit an unusual phenotype whereby the progeny of drug-treated parasites die. Our screen exploits this phenomenon by assaying for “delayed death” compounds that exhibit a higher potency after two cycles of intraerythrocytic development compared to one. We report a primary assay employing parasites with an integrated copy of a firefly luciferase reporter gene and a secondary flow cytometry-based assay using a nucleic acid stain paired with a mitochondrial vital dye. Screening of the U.S. National Institutes of Health Clinical Collection identified known and novel antimalarials including kitasamycin. This inexpensive macrolide, used for agricultural applications, exhibited an in vitro IC50 in the 50 nM range, comparable to the 30 nM activity of our control drug, azithromycin. Imaging and pharmacologic studies confirmed kitasamycin action against the apicoplast, and in vivo activity was observed in a murine malaria model. These assays provide the foundation for high-throughput campaigns to identify novel chemotypes for combination therapies to treat multidrug-resistant malaria.—Ekland, E. H., Schneider, J., Fidock, D. A. Identifying apicoplast-targeting antimalarials using high-throughput compatible approaches. PMID:21746861

Applying Bandura's Model to Identifying Sources of Self-Efficacy of Teaching Artists

ERIC Educational Resources Information Center

Snyder, Scott; Fisk, Timarie

2016-01-01

Teaching artists have significant roles within K-12 schools. Although some research has been conducted to describe the characteristics, training, and employment experiences of teaching artists, no study has been conducted concerning the self-efficacy that such individuals have regarding teaching. The purpose of the study was to investigate the…

A clustering approach to identify severe bronchiolitis profiles in children

PubMed Central

Dumas, Orianne; Mansbach, Jonathan M; Jartti, Tuomas; Hasegawa, Kohei; Sullivan, Ashley F; Piedra, Pedro A; Camargo, Carlos A

2016-01-01

Objective Although bronchiolitis is generally considered a single disease, recent studies suggest heterogeneity. We aimed to identify severe bronchiolitis profiles using a clustering approach. Methods We analyzed data from two prospective, multi-center cohorts of children younger than 2 years hospitalized with bronchiolitis, one in the U.S. (2007–2010 winter seasons, n=2,207) and one in Finland (2008–2010 winter seasons, n=408). Severe bronchiolitis profiles were determined by latent class analysis, classifying children based on clinical factors and viral etiology. Results In the U.S. study, four profiles were identified. Profile A (12%) was characterized by history of wheezing and eczema, wheezing at the ED presentation and rhinovirus infection. Profile B (36%) included children with wheezing at the ED presentation, but, in contrast to profile A, most did not have history of wheezing or eczema; this profile had the largest probability of RSV-infection. Profile C (34%) was the most severely ill group, with longer hospital stay and moderate-to-severe retractions. Profile D (17%) had the least severe illness, including non-wheezing children with shorter length-of-stay. Two of these profiles (A and D) were replicated in the Finnish cohort; a third group (“BC”) included Finnish children with characteristics of profiles B and/or C in the U.S. population. Conclusion Several distinct clinical profiles (phenotypes) were identified by a clustering approach in two multicenter studies of children hospitalized for bronchiolitis. The observed heterogeneity has important implications for future research on the etiology, management and long-term outcomes of bronchiolitis, such as future risk of childhood asthma. PMID:27339060

Relationship between Internet Self-Efficacy and Internet Anxiety: A Nuanced Approach to Understanding the Connection

ERIC Educational Resources Information Center

Paul, Narmada; Glassman, Michael

2017-01-01

The present study makes the case that the individual constituents of internet self-efficacy--search self-efficacy, communication self-efficacy, organisation self-efficacy, differentiation self-efficacy, and reactive/generative self-efficacy--may be of differential importance in predicting internet anxiety within web-assisted learning environments.…

Online-Based Approaches to Identify Real Journals and Publishers from Hijacked Ones.

PubMed

Asadi, Amin; Rahbar, Nader; Asadi, Meisam; Asadi, Fahime; Khalili Paji, Kokab

2017-02-01

The aim of the present paper was to introduce some online-based approaches to evaluate scientific journals and publishers and to differentiate them from the hijacked ones, regardless of their disciplines. With the advent of open-access journals, many hijacked journals and publishers have deceitfully assumed the mantle of authenticity in order to take advantage of researchers and students. Although these hijacked journals and publishers can be identified through checking their advertisement techniques and their websites, these ways do not always result in their identification. There exist certain online-based approaches, such as using Master Journal List provided by Thomson Reuters, and Scopus database, and using the DOI of a paper, to certify the realness of a journal or publisher. It is indispensable that inexperienced students and researchers know these methods so as to identify hijacked journals and publishers with a higher level of probability.

Lessons from HIV-1 vaccine efficacy trials.

PubMed

Excler, Jean-Louis; Michael, Nelson L

2016-11-01

Only four HIV-1 vaccine concepts have been tested in six efficacy trials with no product licensed to date. Several scientific and programmatic lessons can be learned from these studies generating new hypotheses and guiding future steps. RV144 [ALVAC-HIV (canarypox vector) and AIDSVAX B/E (bivalent gp120 HIV-1 subtype B and CRF01_AE)] remains the only efficacy trial that demonstrated a modest vaccine efficacy, which led to the identification of immune correlates of risk. Progress on subtype-specific, ALVAC (canarypox vector) and gp120 vaccine prime-boost approaches has been slow, but we are finally close to the launch of an efficacy study in Africa in 2016. The quest of a globally effective HIV-1 vaccine has led to the development of new approaches. Efficacy studies of combinations of Adenovirus type 26 (Ad26)/Modified Vaccinia Ankara (MVA)/gp140 vaccines with mosaic designs will enter efficacy studies mid-2017 and cytomegalovirus (CMV)-vectored vaccines begin Phase I studies at the same time. Future HIV-1 vaccine efficacy trials face practical challenges as effective nonvaccine prevention programs are projected to decrease HIV-1 incidence. An HIV-1 vaccine is urgently needed. Increased industry involvement, mobilization of resources, expansion of a robust pipeline of new concepts, and robust preclinical challenge studies will be essential to accelerate efficacy testing of next generation HIV-1 vaccine candidates.

Efficacy and tolerability of paliperidone ER in patients with unsatisfactorily controlled schizophrenia by other antipsychotics: a flexible-dose approach

PubMed Central

Mauri, Massimo C.; Adami, Marina; Reggiardo, Giorgio; Giulio, Corrivetti

2015-01-01

This study evaluates the effectiveness of paliperidone ER in patients with symptomatic but not highly acute schizophrenia in terms of efficacy, safety, and patients’ perception of their social functioning and well-being. This is a multicenter, open-label prospective study with a flexible-dose approach; 133 patients were enrolled and followed for 13 weeks after switching to paliperidone ER. Outcome efficacy measures were as follows: the Positive and Negative Syndrome Scale (PANSS), the Clinical Global Impression-Severity (CGI-S) scale, and the Personal and Social Performance (PSP) scale; in addition, the Subjective Well-being under Neuroleptics (SWN-20) scale, the Drug Attitude Inventory (DAI-30), and the sleep evaluation scale were used. Symptom Rating Scale (ESRS), adverse events, and subjective side effects were recorded. 118/133(88.7%) patients completed the study. The mean PANSS score decreased (88.98±10.09 to 66.52±16.29; P<0.001); 40.5% of the patients achieved improvement of at least 30%. PSP and CGI-S scores as well as DAI-30 and SWN-20 decreased (P<0.001). ESRS (P<0.001) decreased significantly from the baseline. Throughout the trial, no deaths occurred and only one serious adverse event was reported. Paliperidone ER has proved to be efficacious, safe, and well tolerated also with this approach more closely resembling actual clinical practice. Patient-relevant outcome parameters such as social functioning and quality of life improved, which is crucial for treatment adherence in clinical practice. PMID:26230269

Efficacy and tolerability of paliperidone ER in patients with unsatisfactorily controlled schizophrenia by other antipsychotics: a flexible-dose approach.

PubMed

Mauri, Mauro; Mauri, Massimo C; Adami, Marina; Reggiardo, Giorgio; Giulio, Corrivetti

2015-11-01

This study evaluates the effectiveness of paliperidone ER in patients with symptomatic but not highly acute schizophrenia in terms of efficacy, safety, and patients' perception of their social functioning and well-being. This is a multicenter, open-label prospective study with a flexible-dose approach; 133 patients were enrolled and followed for 13 weeks after switching to paliperidone ER. Outcome efficacy measures were as follows: the Positive and Negative Syndrome Scale (PANSS), the Clinical Global Impression-Severity (CGI-S) scale, and the Personal and Social Performance (PSP) scale; in addition, the Subjective Well-being under Neuroleptics (SWN-20) scale, the Drug Attitude Inventory (DAI-30), and the sleep evaluation scale were used. Symptom Rating Scale (ESRS), adverse events, and subjective side effects were recorded. 118/133(88.7%) patients completed the study. The mean PANSS score decreased (88.98 ± 10.09 to 66.52 ± 16.29; P < 0.001); 40.5% of the patients achieved improvement of at least 30%. PSP and CGI-S scores as well as DAI-30 and SWN-20 decreased (P < 0.001). ESRS (P < 0.001) decreased significantly from the baseline. Throughout the trial, no deaths occurred and only one serious adverse event was reported. Paliperidone ER has proved to be efficacious, safe, and well tolerated also with this approach more closely resembling actual clinical practice. Patient-relevant outcome parameters such as social functioning and quality of life improved, which is crucial for treatment adherence in clinical practice.

Different approaches for identifying important concepts in probabilistic biomedical text summarization.

PubMed

Moradi, Milad; Ghadiri, Nasser

2018-01-01

Automatic text summarization tools help users in the biomedical domain to acquire their intended information from various textual resources more efficiently. Some of biomedical text summarization systems put the basis of their sentence selection approach on the frequency of concepts extracted from the input text. However, it seems that exploring other measures rather than the raw frequency for identifying valuable contents within an input document, or considering correlations existing between concepts, may be more useful for this type of summarization. In this paper, we describe a Bayesian summarization method for biomedical text documents. The Bayesian summarizer initially maps the input text to the Unified Medical Language System (UMLS) concepts; then it selects the important ones to be used as classification features. We introduce six different feature selection approaches to identify the most important concepts of the text and select the most informative contents according to the distribution of these concepts. We show that with the use of an appropriate feature selection approach, the Bayesian summarizer can improve the performance of biomedical summarization. Using the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) toolkit, we perform extensive evaluations on a corpus of scientific papers in the biomedical domain. The results show that when the Bayesian summarizer utilizes the feature selection methods that do not use the raw frequency, it can outperform the biomedical summarizers that rely on the frequency of concepts, domain-independent and baseline methods. Copyright © 2017 Elsevier B.V. All rights reserved.

Efficacy of ACL injury risk screening methods in identifying high-risk landing patterns during a sport-specific task.

PubMed

Fox, A S; Bonacci, J; McLean, S G; Saunders, N

2017-05-01

Screening methods sensitive to movement strategies that increase anterior cruciate ligament (ACL) loads are likely to be effective in identifying athletes at-risk of ACL injury. Current ACL injury risk screening methods are yet to be evaluated for their ability to identify athletes' who exhibit high-risk lower limb mechanics during sport-specific maneuvers associated with ACL injury occurrences. The purpose of this study was to examine the efficacy of two ACL injury risk screening methods in identifying high-risk lower limb mechanics during a sport-specific landing task. Thirty-two female athletes were screened using the Landing Error Scoring System (LESS) and Tuck Jump Assessment. Participants' also completed a sport-specific landing task, during which three-dimensional kinematic and kinetic data were collected. One-dimensional statistical parametric mapping was used to examine the relationships between screening method scores, and the three-dimensional hip and knee joint rotation and moment data from the sport-specific landing. Higher LESS scores were associated with reduced knee flexion from 30 to 57 ms after initial contact (P = 0.003) during the sport-specific landing; however, no additional relationships were found. These findings suggest the LESS and Tuck Jump Assessment may have minimal applicability in identifying athletes' who exhibit high-risk landing postures in the sport-specific task examined. © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Computer Assisted Language Testing: On the Efficacy of Web-Based Approach in the Instruction of Elementary Learners of English

ERIC Educational Resources Information Center

Soleimani, Maryam; Gahhari, Shima

2012-01-01

In this study the effectiveness and efficacy of e-learning was evaluated through a web based approach. Two classes of elementary learners of English were selected for this study, one class received a six month instruction through the typical twice a week classes and the other one was instructed through internet, in other words, the first class did…

Verification of Inspection Standards and Efficacy of a Systems Approach for Thaumatotibia leucotreta (Lepidoptera: Tortricidae) for Export Citrus From South Africa.

PubMed

Moore, S D; Kirkman, W; Hattingh, V

2016-08-01

A systems approach has been developed for mitigation of risk associated with Thaumatotibia leucotreta (Meyrick) (Lepidoptera: Tortricidae), in citrus fruit exported from South Africa, as an alternative to a stand-alone cold treatment. This study was undertaken to assess compliance with inspection standards applicable to various steps within the systems approach and to determine its overall efficacy. Larval infestation of fruit was monitored weekly in fruit from 33 orchards, until the time of harvest, postpicking, and postpacking into export cartons. Significant positive regressions were recorded between infestation of fruit during the full monitoring period in the orchard and the last 4 wk before harvest, between the last 4 wk before harvest and on delivery to the packinghouse, and on delivery to the packinghouse and in the packed carton. There was an improvement in the level of compliance with each of these successive steps in the system, thus verifying that the grading and inspection thresholds were appropriately sensitive and confirmed the effectiveness of the system. The overall risk mitigation efficacy of the systems approach was calculated. The calculation included several known compounding under estimations of efficacy. Nonetheless, the proportion of fruit that could be infested with T. leucotreta after application of the systems approach was between P ≤ 5.328 × 10(-6) and P ≤ 8.380 × 10(-7), 6-38 times less than the proportion associated with the probit 9 (P ≤ 3.2 × 10(-5)) standard for a stand-alone cold treatment, being three survivors in 100,000 at the 95% confidence level. © The Authors 2016. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Use of biomarkers for assessing radiation injury and efficacy of countermeasures

PubMed Central

Singh, Vijay K; Newman, Victoria L; Romaine, Patricia LP; Hauer-Jensen, Martin; Pollard, Harvey B

2016-01-01

Several candidate drugs for acute radiation syndrome (ARS) have been identified that have low toxicity and significant radioprotective and radiomitigative efficacy. Inasmuch as exposing healthy human volunteers to injurious levels of radiation is unethical, development and approval of new radiation countermeasures for ARS are therefore presently based on animal studies and Phase I safety study in healthy volunteers. The Animal Efficacy Rule, which underlies the Food and Drug Administration approval pathway, requires a sound understanding of the mechanisms of injury, drug efficacy, and efficacy biomarkers. In this context, it is important to identify biomarkers for radiation injury and drug efficacy that can extrapolate animal efficacy results, and can be used to convert drug doses deduced from animal studies to those that can be efficacious when used in humans. Here, we summarize the progress of studies to identify candidate biomarkers for the extent of radiation injury and for evaluation of countermeasure efficacy. PMID:26568096

The role of cognitive reserve and memory self-efficacy in compensatory strategy use: A structural equation approach.

PubMed

Simon, Christa; Schmitter-Edgecombe, Maureen

2016-08-01

The use of compensatory strategies plays an important role in the ability of older adults to adapt to late-life memory changes. Even with the benefits associated with compensatory strategy use, little research has explored specific mechanisms associated with memory performance and compensatory strategies. Rather than an individual's objective memory performance directly predicting their use of compensatory strategies, it is possible that some other variables are indirectly influencing that relationship. The purpose of this study was to: (a) examine the moderating effects of cognitive reserve (CR) and (b) evaluate the potential mediating effects of memory self-efficacy on the relationship between objective memory performance and compensatory strategy use. Two structural equation models (SEM) were used to evaluate CR (latent moderator model) and memory self-efficacy (mediator model) in a sample of 155 community-dwelling older adults over the age of 55. The latent variable moderator model indicated that CR was not substantiated as a moderator variable in this sample (p = .861). However, memory self-efficacy significantly mediated the association between objective memory performance and compensatory strategy use (β = .22, 95% confidence interval, CI [.002, .437]). More specifically, better objective memory was associated with lower compensatory strategy use because of its relation to higher memory self-efficacy. These findings provide initial support for an explanatory framework of the relation between objective memory and compensatory strategy use in a healthy older adult population by identifying the importance of an individual's memory perceptions.

Identifying technology innovations for marginalized smallholders-A conceptual approach.

PubMed

Malek, Mohammad Abdul; Gatzweiler, Franz W; Von Braun, Joachim

2017-05-01

This paper adds a contribution in the existing literature in terms of theoretical and conceptual background for the identification of idle potentials of marginal rural areas and people by means of technological and institutional innovations. The approach follows ex-ante assessment for identifying suitable technology and institutional innovations for marginalized smallholders in marginal areas-divided into three main parts (mapping, surveying and evaluating) and several steps. Finally, it contributes to the inclusion of marginalized smallholders by an improved way of understanding the interactions between technology needs, farming systems, ecological resources and poverty characteristics in the different segments of the poor, and to link these insights with productivity enhancing technologies.

Identifying Trainees' Computer Self-Efficacy in Relation to Some Variables: The Case of Turkish EFL Trainees

ERIC Educational Resources Information Center

Inal, Sevim

2015-01-01

The purpose of this study was to define the self-efficacy perception of Turkish ELT students and examine the relationship between their self-efficacy and such variables as grade level, computer ownership, first time computer use, and frequency of internet and computer use. The participants are 305 Turkish ELT trainees at Dokuz Eylul University,…

Missing defects? A comparison of microscopic and macroscopic approaches to identifying linear enamel hypoplasia.

PubMed

Hassett, Brenna R

2014-03-01

Linear enamel hypoplasia (LEH), the presence of linear defects of dental enamel formed during periods of growth disruption, is frequently analyzed in physical anthropology as evidence for childhood health in the past. However, a wide variety of methods for identifying and interpreting these defects in archaeological remains exists, preventing easy cross-comparison of results from disparate studies. This article compares a standard approach to identifying LEH using the naked eye to the evidence of growth disruption observed microscopically from the enamel surface. This comparison demonstrates that what is interpreted as evidence of growth disruption microscopically is not uniformly identified with the naked eye, and provides a reference for the level of consistency between the number and timing of defects identified using microscopic versus macroscopic approaches. This is done for different tooth types using a large sample of unworn permanent teeth drawn from several post-medieval London burial assemblages. The resulting schematic diagrams showing where macroscopic methods achieve more or less similar results to microscopic methods are presented here and clearly demonstrate that "naked-eye" methods of identifying growth disruptions do not identify LEH as often as microscopic methods in areas where perikymata are more densely packed. Copyright © 2013 Wiley Periodicals, Inc.

Science Self-Efficacy in the Primary Classroom: Using Mixed Methods to Investigate Sources of Self-Efficacy

NASA Astrophysics Data System (ADS)

Webb-Williams, Jane

2017-04-01

Self-efficacy has been shown to influence student engagement, effort and performance as well as course selection and future career choice. Extending our knowledge regarding the development of self-efficacy has important implications for educators and for those concerned about the international uptake of science careers. Previous research has identified four sources that may contribute towards self-efficacy: mastery experiences, vicarious experiences, verbal persuasion and physiological/affective states. Very little research has been conducted within the school environment that looks at the formation of these sources and yet early school experiences have been posited to be a key factor in girls' lack of engagement in post compulsory science education. This paper investigates children's self-efficacy beliefs in science and reports on findings from mixed method research conducted with 182 children aged between 10 and 12 years. Classroom data were collected through focus groups, individual interviews and surveys. Findings revealed that although girls and boys held similar levels of academic performance in science, many girls underestimated their capability. The four sources of self-efficacy identified by Bandura (1997) plus self-regulation as an additional source, were evident in the children's descriptions, with boys being more influenced by mastery experience and girls by a combination of vicarious experience and physiological/affective states. Girl's appraisal of information appeared to operate through a heuristic process whereby girls disregarded salient information such as teacher feedback in favour of reliance on social comparison. Contextual factors were identified. Implications for science teachers are discussed.

An integrated chemical biology approach identifies specific vulnerability of Ewing's sarcoma to combined inhibition of Aurora kinases A and B.

PubMed

Winter, Georg E; Rix, Uwe; Lissat, Andrej; Stukalov, Alexey; Müllner, Markus K; Bennett, Keiryn L; Colinge, Jacques; Nijman, Sebastian M; Kubicek, Stefan; Kovar, Heinrich; Kontny, Udo; Superti-Furga, Giulio

2011-10-01

Ewing's sarcoma is a pediatric cancer of the bone that is characterized by the expression of the chimeric transcription factor EWS-FLI1 that confers a highly malignant phenotype and results from the chromosomal translocation t(11;22)(q24;q12). Poor overall survival and pronounced long-term side effects associated with traditional chemotherapy necessitate the development of novel, targeted, therapeutic strategies. We therefore conducted a focused viability screen with 200 small molecule kinase inhibitors in 2 different Ewing's sarcoma cell lines. This resulted in the identification of several potential molecular intervention points. Most notably, tozasertib (VX-680, MK-0457) displayed unique nanomolar efficacy, which extended to other cell lines, but was specific for Ewing's sarcoma. Furthermore, tozasertib showed strong synergies with the chemotherapeutic drugs etoposide and doxorubicin, the current standard agents for Ewing's sarcoma. To identify the relevant targets underlying the specific vulnerability toward tozasertib, we determined its cellular target profile by chemical proteomics. We identified 20 known and unknown serine/threonine and tyrosine protein kinase targets. Additional target deconvolution and functional validation by RNAi showed simultaneous inhibition of Aurora kinases A and B to be responsible for the observed tozasertib sensitivity, thereby revealing a new mechanism for targeting Ewing's sarcoma. We further corroborated our cellular observations with xenograft mouse models. In summary, the multilayered chemical biology approach presented here identified a specific vulnerability of Ewing's sarcoma to concomitant inhibition of Aurora kinases A and B by tozasertib and danusertib, which has the potential to become a new therapeutic option.

Practicum Experiences as Sources of Pre-Service Teachers' Self-Efficacy

ERIC Educational Resources Information Center

Martins, Maria; Costa, João; Onofre, Marcos

2015-01-01

This study examines physical education pre-service teachers' (PTs) self-efficacy and practicum experiences as self-efficacy sources through a mixed-method approach. For the quantitative phase, a self-efficacy questionnaire was applied to 141 PTs. Results showed a stronger self-efficacy in the relationship with students and discipline promotion.…

An Integrated Approach Identifies Mediators of Local Recurrence in Head and Neck Squamous Carcinoma.

PubMed

Citron, Francesca; Armenia, Joshua; Franchin, Giovanni; Polesel, Jerry; Talamini, Renato; D'Andrea, Sara; Sulfaro, Sandro; Croce, Carlo M; Klement, William; Otasek, David; Pastrello, Chiara; Tokar, Tomas; Jurisica, Igor; French, Deborah; Bomben, Riccardo; Vaccher, Emanuela; Serraino, Diego; Belletti, Barbara; Vecchione, Andrea; Barzan, Luigi; Baldassarre, Gustavo

2017-07-15

Purpose: Head and neck squamous cell carcinomas (HNSCCs) cause more than 300,000 deaths worldwide each year. Locoregional and distant recurrences represent worse prognostic events and accepted surrogate markers of patients' overall survival. No valid biomarker and salvage therapy exist to identify and treat patients at high-risk of recurrence. We aimed to verify if selected miRNAs could be used as biomarkers of recurrence in HNSCC. Experimental Design: A NanoString array was used to identify miRNAs associated with locoregional recurrence in 44 patients with HNSCC. Bioinformatic approaches validated the signature and identified potential miRNA targets. Validation experiments were performed using an independent cohort of primary HNSCC samples and a panel of HNSCC cell lines. In vivo experiments validated the in vitro results. Results: Our data identified a four-miRNA signature that classified HNSCC patients at high- or low-risk of recurrence. These miRNAs collectively impinge on the epithelial-mesenchymal transition process. In silico and wet lab approaches showed that miR-9, expressed at high levels in recurrent HNSCC, targets SASH1 and KRT13, whereas miR-1, miR-133, and miR-150, expressed at low levels in recurrent HNSCC, collectively target SP1 and TGFβ pathways. A six-gene signature comprising these targets identified patients at high risk of recurrences, as well. Combined pharmacological inhibition of SP1 and TGFβ pathways induced HNSCC cell death and, when timely administered, prevented recurrence formation in a preclinical model of HNSCC recurrence. Conclusions: By integrating different experimental approaches and competences, we identified critical mediators of recurrence formation in HNSCC that may merit to be considered for future clinical development. Clin Cancer Res; 23(14); 3769-80. ©2017 AACR . ©2017 American Association for Cancer Research.

Writing Essays: Does Self-Efficacy Matter? The Relationship between Self-Efficacy in Reading and in Writing and Undergraduate Students' Performance in Essay Writing

ERIC Educational Resources Information Center

Prat-Sala, Merce; Redford, Paul

2012-01-01

Self-efficacy beliefs have been identified as associated with students' academic performance. The present research assessed the relationship between two new self-efficacy scales (self-efficacy in reading [SER] and self-efficacy in writing [SEW]) and students' writing performance on a piece of assessed written coursework. Using data from first and…

Approach to identifying pollutant source and matching flow field

NASA Astrophysics Data System (ADS)

Liping, Pang; Yu, Zhang; Hongquan, Qu; Tao, Hu; Wei, Wang

2013-07-01

Accidental pollution events often threaten people's health and lives, and it is necessary to identify a pollutant source rapidly so that prompt actions can be taken to prevent the spread of pollution. But this identification process is one of the difficulties in the inverse problem areas. This paper carries out some studies on this issue. An approach using single sensor information with noise was developed to identify a sudden continuous emission trace pollutant source in a steady velocity field. This approach first compares the characteristic distance of the measured concentration sequence to the multiple hypothetical measured concentration sequences at the sensor position, which are obtained based on a source-three-parameter multiple hypotheses. Then we realize the source identification by globally searching the optimal values with the objective function of the maximum location probability. Considering the large amount of computation load resulting from this global searching, a local fine-mesh source search method based on priori coarse-mesh location probabilities is further used to improve the efficiency of identification. Studies have shown that the flow field has a very important influence on the source identification. Therefore, we also discuss the impact of non-matching flow fields with estimation deviation on identification. Based on this analysis, a method for matching accurate flow field is presented to improve the accuracy of identification. In order to verify the practical application of the above method, an experimental system simulating a sudden pollution process in a steady flow field was set up and some experiments were conducted when the diffusion coefficient was known. The studies showed that the three parameters (position, emission strength and initial emission time) of the pollutant source in the experiment can be estimated by using the method for matching flow field and source identification.

A Mixed Methods Approach to Identify Cognitive Warning Signs for Suicide Attempts.

PubMed

Adler, Abby; Bush, Ashley; Barg, Frances K; Weissinger, Guy; Beck, Aaron T; Brown, Gregory K

2016-01-01

This study used a mixed methods approach to examine pathways to suicidal behavior by identifying cognitive warning signs that occurred within 1 day of a suicide attempt. Transcripts of cognitive therapy sessions from 35 patients who attempted suicide were analyzed using a modified grounded theory approach. Cognitive themes emerging from these transcripts included: state hopelessness, focus on escape, suicide as a solution, fixation on suicide, and aloneness. Differences in demographic and baseline diagnostic and symptom data were explored in relation to each cognitive theme. We propose a potential conceptual model of cognitive warning signs for suicide attempts that requires further testing.

Cognitive-behavioral therapy for body dysmorphic disorder: a review of its efficacy

PubMed Central

Prazeres, Angélica M; Nascimento, Antônio L; Fontenelle, Leonardo F

2013-01-01

The aim of this study was to review the efficacy of different methods of cognitive and/or behavioral therapies used to treat body dysmorphic disorder. We evaluated all case series, open studies, controlled trials, and meta-analyses of cognitive and/or behavioral treatment approaches to body dysmorphic disorder published up to July 2012, identified through a search in the PubMed/Medline, PsycINFO, ISI Web of Knowledge, and Scopus databases. Our findings indicate that individual and group cognitive behavioral therapies are superior to waiting list for the treatment of body dysmorphic disorder. While the efficacy of cognitive therapy is supported by one controlled trial, utility of behavioral therapy is suggested by one open study and one controlled relapse prevention follow-up study. There is a pressing need to conduct head-to-head studies, with appropriate, active, control treatment groups, in order to examine further the efficacy of cognitive and/or behavioral therapies for body dysmorphic disorder. PMID:23467711

Identifying Mother-Child Interaction Styles Using a Person-Centered Approach.

PubMed

Nelson, Jackie A; O'Brien, Marion; Grimm, Kevin J; Leerkes, Esther M

2014-05-01

Parent-child conflict in the context of a supportive relationship has been discussed as a potentially constructive interaction pattern; the current study is the first to test this using a holistic analytic approach. Interaction styles, defined as mother-child conflict in the context of maternal sensitivity, were identified and described with demographic and stress-related characteristics of families. Longitudinal associations were tested between interaction styles and children's later social competence. Participants included 814 partnered mothers with a first-grade child. Latent profile analysis identified agreeable , dynamic , and disconnected interaction styles. Mothers' intimacy with a partner, depressive symptoms, and authoritarian childrearing beliefs, along with children's later conflict with a best friend and externalizing problems, were associated with group membership. Notably, the dynamic style, characterized by high sensitivity and high conflict, included families who experienced psychological and relational stressors. Findings are discussed with regard to how family stressors shape parent-child interaction patterns.

Self-efficacy in Environmental Education: Experiences of elementary education preservice teachers

NASA Astrophysics Data System (ADS)

Gardner, Cynthia Crompton

Despite research showing Environmental Education can provide positive student outcomes in academic achievement, critical thinking, motivation and engagement (Ernst, 2007; Lieberman & Hoody, 1998; Orr, 1992; Palmer, 1998; Powers, 2004; Volk & Cheak, 2003), Environmental Education is currently not a critical element in American public school K-12 education. The present study investigates self-efficacy in Environmental Education through a mixed methods research approach. The data reveal the participants' perspectives of their sense of self-efficacy in Environmental Education. It adds to the body of work on Environmental Education and self-efficacy by specifically investigating the topics through interviews with preservice teachers. Purposeful sampling is used to identify preservice elementary education teachers in their senior year of college with a high measure of self-efficacy. Self-efficacy is measured using the Environmental Education Efficacy Belief Instrument (Sia, 1992). Forty-six preservice teachers completed the instrument. Six preservice teachers were interviewed to determine experiences that impact their self-efficacy in Environmental Education. Continual comparison and cross-case analysis are used to analyze the data. The results reveal a relationship between personal experiences with nature as a young child and current beliefs toward their personal efficacy and teaching outcome efficacy in Environmental Education. Similar to the findings of Sia (1992), the researcher discovered that preservice teachers realize that they lack sufficient knowledge and skill in Environmental Education but believe that effective teaching can increase students understanding of Environmental Education. While the preservice teachers do not believe they will teach Environmental Education as well as other subjects, they will continually seek out better ways to teach Environmental Education. Interviews with participants who had a high self-efficacy revealed the importance of

Identifying Core Mobile Learning Faculty Competencies Based Integrated Approach: A Delphi Study

ERIC Educational Resources Information Center

Elbarbary, Rafik Said

2015-01-01

This study is based on the integrated approach as a concept framework to identify, categorize, and rank a key component of mobile learning core competencies for Egyptian faculty members in higher education. The field investigation framework used four rounds Delphi technique to determine the importance rate of each component of core competencies…

Feasibility of identifying a cohort of US women at high risk for HIV infection for HIV vaccine efficacy trials: Longitudinal results of HVTN 906

PubMed Central

Koblin, Beryl A.; Metch, Barbara; Novak, Richard M.; Morgan, Cecilia; Lucy, Debbie; Dunbar, Debora; Graham, Parrie; Swann, Edith; Madenwald, Tamra; Escamilia, Gina; Frank, Ian

2013-01-01

Background Identifying cohorts of US women with HIV infection rates sufficient for inclusion in vaccine efficacy trials has been challenging. Using geography and sexual network characteristics to inform recruitment strategies, HVTN 906 determined the feasibility of recruiting a cohort of women at high risk for HIV acquisition. Methods HIV uninfected women who reported unprotected sex in the prior six months, resided or engaged in risk behavior in local geographical high-risk pockets and/or had a male partner who had been incarcerated, injected drugs or had concurrent partners were eligible. Behavioral risk assessment, HIV counseling and testing and pregnancy testing were done at baseline, 6, 12 and 18 months. Results Among 799 women, 71% were from local high-risk pockets and had high-risk male partners. Median age was 37 years; 79% were Black; 15% Latina. Over half (55%) reported a new partner in the prior six months, 57% reported a male partner who had concurrent female sexual partners and 37% reported a male partner who had been incarcerated. Retention at 18 months was 79.5%. Annual pregnancy incidence was 12%. Annual HIV incidence was 0.31% (95% CI: 0.06, 0.91). Risk behaviors decreased between screening and six months with smaller changes thereafter. Discussion This cohort of women recruited using new strategies based on geography and sexual network characteristics did not have an HIV incidence high enough for HIV vaccine efficacy trials, despite high baseline levels of risk and a high pregnancy rate. New strategies to identify cohorts of US women for efficacy trials are needed. PMID:23446497

Effect of Vaccine Administration Modality on Immunogenicity and Efficacy

PubMed Central

Zhang, Lu; Wang, Wei; Wang, Shixia

2016-01-01

Summary The many factors impacting the efficacy of a vaccine can be broadly divided into three categories: (1) features of the vaccine itself, including immunogen design, vaccine type, formulation, adjuvant, and dosing; (2) individual variations among vaccine recipients; and (3) vaccine administration-related parameters. While much literature exists related to vaccines, and recently systems biology has started to dissect the impact of individual subject variation on vaccine efficacy, few studies have focused on the role of vaccine administration-related parameters on vaccine efficacy. Parenteral and mucosal vaccinations are traditional approaches for licensed vaccines; novel vaccine delivery approaches, including needless injection and adjuvant formulations, are being developed to further improve vaccine safety and efficacy. This review provides a brief summary of vaccine administration-related factors, including vaccination approach, delivery route, and method of administration, to gain a better understanding of their potential impact on the safety and immunogenicity of candidate vaccines. PMID:26313239

Identifying and characterizing hepatitis C virus hotspots in Massachusetts: a spatial epidemiological approach.

PubMed

Stopka, Thomas J; Goulart, Michael A; Meyers, David J; Hutcheson, Marga; Barton, Kerri; Onofrey, Shauna; Church, Daniel; Donahue, Ashley; Chui, Kenneth K H

2017-04-20

Hepatitis C virus (HCV) infections have increased during the past decade but little is known about geographic clustering patterns. We used a unique analytical approach, combining geographic information systems (GIS), spatial epidemiology, and statistical modeling to identify and characterize HCV hotspots, statistically significant clusters of census tracts with elevated HCV counts and rates. We compiled sociodemographic and HCV surveillance data (n = 99,780 cases) for Massachusetts census tracts (n = 1464) from 2002 to 2013. We used a five-step spatial epidemiological approach, calculating incremental spatial autocorrelations and Getis-Ord Gi* statistics to identify clusters. We conducted logistic regression analyses to determine factors associated with the HCV hotspots. We identified nine HCV clusters, with the largest in Boston, New Bedford/Fall River, Worcester, and Springfield (p < 0.05). In multivariable analyses, we found that HCV hotspots were independently and positively associated with the percent of the population that was Hispanic (adjusted odds ratio [AOR]: 1.07; 95% confidence interval [CI]: 1.04, 1.09) and the percent of households receiving food stamps (AOR: 1.83; 95% CI: 1.22, 2.74). HCV hotspots were independently and negatively associated with the percent of the population that were high school graduates or higher (AOR: 0.91; 95% CI: 0.89, 0.93) and the percent of the population in the "other" race/ethnicity category (AOR: 0.88; 95% CI: 0.85, 0.91). We identified locations where HCV clusters were a concern, and where enhanced HCV prevention, treatment, and care can help combat the HCV epidemic in Massachusetts. GIS, spatial epidemiological and statistical analyses provided a rigorous approach to identify hotspot clusters of disease, which can inform public health policy and intervention targeting. Further studies that incorporate spatiotemporal cluster analyses, Bayesian spatial and geostatistical models, spatially weighted regression

Identifying Key Performance Indicators for Holistic Hospital Management with a Modified DEMATEL Approach

PubMed Central

Si, Sheng-Li; You, Xiao-Yue; Huang, Jia

2017-01-01

Performance analysis is an important way for hospitals to achieve higher efficiency and effectiveness in providing services to their customers. The performance of the healthcare system can be measured by many indicators, but it is difficult to improve them simultaneously due to the limited resources. A feasible way is to identify the central and influential indicators to improve healthcare performance in a stepwise manner. In this paper, we propose a hybrid multiple criteria decision making (MCDM) approach to identify key performance indicators (KPIs) for holistic hospital management. First, through integrating evidential reasoning approach and interval 2-tuple linguistic variables, various assessments of performance indicators provided by healthcare experts are modeled. Then, the decision making trial and evaluation laboratory (DEMATEL) technique is adopted to build an interactive network and visualize the causal relationships between the performance indicators. Finally, an empirical case study is provided to demonstrate the proposed approach for improving the efficiency of healthcare management. The results show that “accidents/adverse events”, “nosocomial infection”, ‘‘incidents/errors”, “number of operations/procedures” are significant influential indicators. Also, the indicators of “length of stay”, “bed occupancy” and “financial measures” play important roles in performance evaluation of the healthcare organization. The proposed decision making approach could be considered as a reference for healthcare administrators to enhance the performance of their healthcare institutions. PMID:28825613

Identifying Key Performance Indicators for Holistic Hospital Management with a Modified DEMATEL Approach.

PubMed

Si, Sheng-Li; You, Xiao-Yue; Liu, Hu-Chen; Huang, Jia

2017-08-19

Performance analysis is an important way for hospitals to achieve higher efficiency and effectiveness in providing services to their customers. The performance of the healthcare system can be measured by many indicators, but it is difficult to improve them simultaneously due to the limited resources. A feasible way is to identify the central and influential indicators to improve healthcare performance in a stepwise manner. In this paper, we propose a hybrid multiple criteria decision making (MCDM) approach to identify key performance indicators (KPIs) for holistic hospital management. First, through integrating evidential reasoning approach and interval 2-tuple linguistic variables, various assessments of performance indicators provided by healthcare experts are modeled. Then, the decision making trial and evaluation laboratory (DEMATEL) technique is adopted to build an interactive network and visualize the causal relationships between the performance indicators. Finally, an empirical case study is provided to demonstrate the proposed approach for improving the efficiency of healthcare management. The results show that "accidents/adverse events", "nosocomial infection", ''incidents/errors", "number of operations/procedures" are significant influential indicators. Also, the indicators of "length of stay", "bed occupancy" and "financial measures" play important roles in performance evaluation of the healthcare organization. The proposed decision making approach could be considered as a reference for healthcare administrators to enhance the performance of their healthcare institutions.

Identifying best-fitting inputs in health-economic model calibration: a Pareto frontier approach.

PubMed

Enns, Eva A; Cipriano, Lauren E; Simons, Cyrena T; Kong, Chung Yin

2015-02-01

To identify best-fitting input sets using model calibration, individual calibration target fits are often combined into a single goodness-of-fit (GOF) measure using a set of weights. Decisions in the calibration process, such as which weights to use, influence which sets of model inputs are identified as best-fitting, potentially leading to different health economic conclusions. We present an alternative approach to identifying best-fitting input sets based on the concept of Pareto-optimality. A set of model inputs is on the Pareto frontier if no other input set simultaneously fits all calibration targets as well or better. We demonstrate the Pareto frontier approach in the calibration of 2 models: a simple, illustrative Markov model and a previously published cost-effectiveness model of transcatheter aortic valve replacement (TAVR). For each model, we compare the input sets on the Pareto frontier to an equal number of best-fitting input sets according to 2 possible weighted-sum GOF scoring systems, and we compare the health economic conclusions arising from these different definitions of best-fitting. For the simple model, outcomes evaluated over the best-fitting input sets according to the 2 weighted-sum GOF schemes were virtually nonoverlapping on the cost-effectiveness plane and resulted in very different incremental cost-effectiveness ratios ($79,300 [95% CI 72,500-87,600] v. $139,700 [95% CI 79,900-182,800] per quality-adjusted life-year [QALY] gained). Input sets on the Pareto frontier spanned both regions ($79,000 [95% CI 64,900-156,200] per QALY gained). The TAVR model yielded similar results. Choices in generating a summary GOF score may result in different health economic conclusions. The Pareto frontier approach eliminates the need to make these choices by using an intuitive and transparent notion of optimality as the basis for identifying best-fitting input sets. © The Author(s) 2014.

Identifying best-fitting inputs in health-economic model calibration: a Pareto frontier approach

PubMed Central

Enns, Eva A.; Cipriano, Lauren E.; Simons, Cyrena T.; Kong, Chung Yin

2014-01-01

Background To identify best-fitting input sets using model calibration, individual calibration target fits are often combined into a single “goodness-of-fit” (GOF) measure using a set of weights. Decisions in the calibration process, such as which weights to use, influence which sets of model inputs are identified as best-fitting, potentially leading to different health economic conclusions. We present an alternative approach to identifying best-fitting input sets based on the concept of Pareto-optimality. A set of model inputs is on the Pareto frontier if no other input set simultaneously fits all calibration targets as well or better. Methods We demonstrate the Pareto frontier approach in the calibration of two models: a simple, illustrative Markov model and a previously-published cost-effectiveness model of transcatheter aortic valve replacement (TAVR). For each model, we compare the input sets on the Pareto frontier to an equal number of best-fitting input sets according to two possible weighted-sum GOF scoring systems, and compare the health economic conclusions arising from these different definitions of best-fitting. Results For the simple model, outcomes evaluated over the best-fitting input sets according to the two weighted-sum GOF schemes were virtually non-overlapping on the cost-effectiveness plane and resulted in very different incremental cost-effectiveness ratios ($79,300 [95%CI: 72,500 – 87,600] vs. $139,700 [95%CI: 79,900 - 182,800] per QALY gained). Input sets on the Pareto frontier spanned both regions ($79,000 [95%CI: 64,900 – 156,200] per QALY gained). The TAVR model yielded similar results. Conclusions Choices in generating a summary GOF score may result in different health economic conclusions. The Pareto frontier approach eliminates the need to make these choices by using an intuitive and transparent notion of optimality as the basis for identifying best-fitting input sets. PMID:24799456

Identifying western yellow-billed cuckoo breeding habitat with a dual modelling approach

USGS Publications Warehouse

Johnson, Matthew J.; Hatten, James R.; Holmes, Jennifer A.; Shafroth, Patrick B.

2017-01-01

The western population of the yellow-billed cuckoo (Coccyzus americanus) was recently listed as threatened under the federal Endangered Species Act. Yellow-billed cuckoo conservation efforts require the identification of features and area requirements associated with high quality, riparian forest habitat at spatial scales that range from nest microhabitat to landscape, as well as lower-suitability areas that can be enhanced or restored. Spatially explicit models inform conservation efforts by increasing ecological understanding of a target species, especially at landscape scales. Previous yellow-billed cuckoo modelling efforts derived plant-community maps from aerial photography, an expensive and oftentimes inconsistent approach. Satellite models can remotely map vegetation features (e.g., vegetation density, heterogeneity in vegetation density or structure) across large areas with near perfect repeatability, but they usually cannot identify plant communities. We used aerial photos and satellite imagery, and a hierarchical spatial scale approach, to identify yellow-billed cuckoo breeding habitat along the Lower Colorado River and its tributaries. Aerial-photo and satellite models identified several key features associated with yellow-billed cuckoo breeding locations: (1) a 4.5 ha core area of dense cottonwood-willow vegetation, (2) a large native, heterogeneously dense forest (72 ha) around the core area, and (3) moderately rough topography. The odds of yellow-billed cuckoo occurrence decreased rapidly as the amount of tamarisk cover increased or when cottonwood-willow vegetation was limited. We achieved model accuracies of 75–80% in the project area the following year after updating the imagery and location data. The two model types had very similar probability maps, largely predicting the same areas as high quality habitat. While each model provided unique information, a dual-modelling approach provided a more complete picture of yellow-billed cuckoo habitat

A tripartite approach identifies the major sunflower seed albumins.

PubMed

Jayasena, Achala S; Franke, Bastian; Rosengren, Johan; Mylne, Joshua S

2016-03-01

We have used a combination of genomic, transcriptomic, and proteomic approaches to identify the napin-type albumin genes in sunflower and define their contributions to the seed albumin pool. Seed protein content is determined by the expression of what are typically large gene families. A major class of seed storage proteins is the napin-type, water soluble albumins. In this work we provide a comprehensive analysis of the napin-type albumin content of the common sunflower (Helianthus annuus) by analyzing a draft genome, a transcriptome and performing a proteomic analysis of the seed albumin fraction. We show that although sunflower contains at least 26 genes for napin-type albumins, only 15 of these are present at the mRNA level. We found protein evidence for 11 of these but the albumin content of mature seeds is dominated by the encoded products of just three genes. So despite high genetic redundancy for albumins, only a small sub-set of this gene family contributes to total seed albumin content. The three genes identified as producing the majority of sunflower seed albumin are potential future candidates for manipulation through genetics and breeding.

A multi-indicator approach for identifying shoreline sewage pollution hotspots adjacent to coral reefs.

PubMed

Abaya, Leilani M; Wiegner, Tracy N; Colbert, Steven L; Beets, James P; Carlson, Kaile'a M; Kramer, K Lindsey; Most, Rebecca; Couch, Courtney S

2018-04-01

Sewage pollution is contributing to the global decline of coral reefs. Identifying locations where it is entering waters near reefs is therefore a management priority. Our study documented shoreline sewage pollution hotspots in a coastal community with a fringing coral reef (Puakō, Hawai'i) using dye tracer studies, sewage indicator measurements, and a pollution scoring tool. Sewage reached shoreline waters within 9 h to 3 d. Fecal indicator bacteria concentrations were high and variable, and δ 15 N macroalgal values were indicative of sewage at many stations. Shoreline nutrient concentrations were two times higher than those in upland groundwater. Pollution hotspots were identified with a scoring tool using three sewage indicators. It confirmed known locations of sewage pollution from dye tracer studies. Our study highlights the need for a multi-indicator approach and scoring tool to identify sewage pollution hotspots. This approach will be useful for other coastal communities grappling with sewage pollution. Copyright © 2018 Elsevier Ltd. All rights reserved.

Screening and syndromic approaches to identify gonorrhea and chlamydial infection among women.

PubMed

Sloan, N L; Winikoff, B; Haberland, N; Coggins, C; Elias, C

2000-03-01

The standard diagnostic tools to identify sexually transmitted infections are often expensive and have laboratory and infrastructure requirements that make them unavailable to family planning and primary health-care clinics in developing countries. Therefore, inexpensive, accessible tools that rely on symptoms, signs, and/or risk factors have been developed to identify and treat reproductive tract infections without the need for laboratory diagnostics. Studies were reviewed that used standard diagnostic tests to identify gonorrhea and cervical chlamydial infection among women and that provided adequate information about the usefulness of the tools for screening. Aggregation of the studies' results suggest that risk factors, algorithms, and risk scoring for syndromic management are poor indicators of gonorrhea and chlamydial infection in samples of both low and high prevalence and, consequently, are not effective mechanisms with which to identify or manage these conditions. The development and evaluation of other approaches to identify gonorrhea and chlamydial infections, including inexpensive and simple laboratory screening tools, periodic universal treatment, and other alternatives must be given priority.

Identifying and treating codeine dependence: a systematic review.

PubMed

Nielsen, Suzanne; MacDonald, Tim; Johnson, Jacinta L

2018-06-04

Codeine dependence is a significant public health problem, motivating the recent rescheduling of codeine in Australia (1 February 2018). To provide information for informing clinical responses, we undertook a systematic review of what is known about identifying and treating codeine dependence. Articles published in English that described people who were codeine-dependent or a clinical approach to treating people who were codeine-dependent, without restriction on year of publication, were reviewed. Articles not including empirical data were excluded. One researcher screened each abstract; two researchers independently reviewed full text articles. Study quality was assessed, and data were extracted with standardised tools. MEDLINE and EMBASE were searched for relevant publications on 22 November 2016. The reference lists of eligible studies were searched to identify further relevant publications. 2150 articles were initially identified, of which 41 were eligible for inclusion in our analysis. Studies consistently reported specific characteristics associated with codeine dependence, including mental health comorbidity and escalation of codeine use attributed to psychiatric problems. Case reports and series described codeine dependence masked by complications associated with overusing simple analgesics and delayed detection. Ten studies described the treatment of codeine dependence. Three reports identified a role for behavioural therapy; the efficacy of CYP inhibitors in a small open label trial was not confirmed in a randomised controlled trial; four case series/chart reviews described opioid agonist therapy and medicated inpatient withdrawal; two qualitative studies identified barriers related to perceptions of codeine-dependent people and treatment providers, and confirmed positive perceptions and treatment outcomes achieved with opioid agonist treatments. Strategies for identifying problematic codeine use are needed. Identifying codeine dependence in clinical

A questionnaire approach to measuring the relative reinforcing efficacy of snack foods

PubMed Central

Epstein, Leonard H.; Dearing, Kelly K.; Roba, Lora G.

2010-01-01

Behavioral choice theory and laboratory choice paradigms can provide a framework to understand the reinforcing efficacy or reinforcing value of food. Reinforcing efficacy is measured in the laboratory by assessing how much effort one will engage in to gain access to food as the amount of work progressively increases. However, this method to establish demand curves as estimates of reinforcer efficacy is time consuming and limits the number of reinforcers that can be tested. The general aim of this study was to compare the reinforcing efficacy of snack foods using a behavioral task that requires subjects to respond to gain access to portions of food (LAB task) with a questionnaire version of a purchasing task designed to determine demand curves (QUES task) in nonobese and obese adults (n = 24). Results showed correlations between the maximal amount of money that individuals were willing to spend for food (QUES Omax) and the maximal amount of responses made on the highest reinforcement schedule completed (LAB Omax) (r = 0.45, p < 0.05), and between BMI and the LAB Omax (r = 0.43, p < 0.05) and the QUES Omax (r = 0.52, p < 0.05). The study suggests the questionnaire provides valid measures of reinforcing efficacy that can be used in place of or in conjunction with traditional laboratory paradigms to establish demand curves that describe the behavioral maintaining properties of food. PMID:20188288

Testing the Efficacy of DNA Barcodes for Identifying the Vascular Plants of Canada.

PubMed

Braukmann, Thomas W A; Kuzmina, Maria L; Sills, Jesse; Zakharov, Evgeny V; Hebert, Paul D N

2017-01-01

Their relatively slow rates of molecular evolution, as well as frequent exposure to hybridization and introgression, often make it difficult to discriminate species of vascular plants with the standard barcode markers (rbcL, matK, ITS2). Previous studies have examined these constraints in narrow geographic or taxonomic contexts, but the present investigation expands analysis to consider the performance of these gene regions in discriminating the species in local floras at sites across Canada. To test identification success, we employed a DNA barcode reference library with sequence records for 96% of the 5108 vascular plant species known from Canada, but coverage varied from 94% for rbcL to 60% for ITS2 and 39% for matK. Using plant lists from 27 national parks and one scientific reserve, we tested the efficacy of DNA barcodes in identifying the plants in simulated species assemblages from six biogeographic regions of Canada using BLAST and mothur. Mean pairwise distance (MPD) and mean nearest taxon distance (MNTD) were strong predictors of barcode performance for different plant families and genera, and both metrics supported ITS2 as possessing the highest genetic diversity. All three genes performed strongly in assigning the taxa present in local floras to the correct genus with values ranging from 91% for rbcL to 97% for ITS2 and 98% for matK. However, matK delivered the highest species discrimination (~81%) followed by ITS2 (~72%) and rbcL (~44%). Despite the low number of plant taxa in the Canadian Arctic, DNA barcodes had the least success in discriminating species from this biogeographic region with resolution ranging from 36% with rbcL to 69% with matK. Species resolution was higher in the other settings, peaking in the Woodland region at 52% for rbcL and 87% for matK. Our results indicate that DNA barcoding is very effective in identifying Canadian plants to a genus, and that it performs well in discriminating species in regions where floristic diversity is

Testing the Efficacy of DNA Barcodes for Identifying the Vascular Plants of Canada

PubMed Central

Kuzmina, Maria L.; Sills, Jesse; Zakharov, Evgeny V.; Hebert, Paul D. N.

2017-01-01

Their relatively slow rates of molecular evolution, as well as frequent exposure to hybridization and introgression, often make it difficult to discriminate species of vascular plants with the standard barcode markers (rbcL, matK, ITS2). Previous studies have examined these constraints in narrow geographic or taxonomic contexts, but the present investigation expands analysis to consider the performance of these gene regions in discriminating the species in local floras at sites across Canada. To test identification success, we employed a DNA barcode reference library with sequence records for 96% of the 5108 vascular plant species known from Canada, but coverage varied from 94% for rbcL to 60% for ITS2 and 39% for matK. Using plant lists from 27 national parks and one scientific reserve, we tested the efficacy of DNA barcodes in identifying the plants in simulated species assemblages from six biogeographic regions of Canada using BLAST and mothur. Mean pairwise distance (MPD) and mean nearest taxon distance (MNTD) were strong predictors of barcode performance for different plant families and genera, and both metrics supported ITS2 as possessing the highest genetic diversity. All three genes performed strongly in assigning the taxa present in local floras to the correct genus with values ranging from 91% for rbcL to 97% for ITS2 and 98% for matK. However, matK delivered the highest species discrimination (~81%) followed by ITS2 (~72%) and rbcL (~44%). Despite the low number of plant taxa in the Canadian Arctic, DNA barcodes had the least success in discriminating species from this biogeographic region with resolution ranging from 36% with rbcL to 69% with matK. Species resolution was higher in the other settings, peaking in the Woodland region at 52% for rbcL and 87% for matK. Our results indicate that DNA barcoding is very effective in identifying Canadian plants to a genus, and that it performs well in discriminating species in regions where floristic diversity is

Identifying Subgroups among Hardcore Smokers: a Latent Profile Approach

PubMed Central

Bommelé, Jeroen; Kleinjan, Marloes; Schoenmakers, Tim M.; Burk, William J.; van den Eijnden, Regina; van de Mheen, Dike

2015-01-01

Introduction Hardcore smokers are smokers who have little to no intention to quit. Previous research suggests that there are distinct subgroups among hardcore smokers and that these subgroups vary in the perceived pros and cons of smoking and quitting. Identifying these subgroups could help to develop individualized messages for the group of hardcore smokers. In this study we therefore used the perceived pros and cons of smoking and quitting to identify profiles among hardcore smokers. Methods A sample of 510 hardcore smokers completed an online survey on the perceived pros and cons of smoking and quitting. We used these perceived pros and cons in a latent profile analysis to identify possible subgroups among hardcore smokers. To validate the profiles identified among hardcore smokers, we analysed data from a sample of 338 non-hardcore smokers in a similar way. Results We found three profiles among hardcore smokers. ‘Receptive’ hardcore smokers (36%) perceived many cons of smoking and many pros of quitting. ‘Ambivalent’ hardcore smokers (59%) were rather undecided towards quitting. ‘Resistant’ hardcore smokers (5%) saw few cons of smoking and few pros of quitting. Among non-hardcore smokers, we found similar groups of ‘receptive’ smokers (30%) and ‘ambivalent’ smokers (54%). However, a third group consisted of ‘disengaged’ smokers (16%), who saw few pros and cons of both smoking and quitting. Discussion Among hardcore smokers, we found three distinct profiles based on perceived pros and cons of smoking. This indicates that hardcore smokers are not a homogenous group. Each profile might require a different tobacco control approach. Our findings may help to develop individualized tobacco control messages for the particularly hard-to-reach group of hardcore smokers. PMID:26207829

Identifying Mother-Child Interaction Styles Using a Person-Centered Approach

PubMed Central

Nelson, Jackie A.; O’Brien, Marion; Grimm, Kevin J.; Leerkes, Esther M.

2016-01-01

Parent-child conflict in the context of a supportive relationship has been discussed as a potentially constructive interaction pattern; the current study is the first to test this using a holistic analytic approach. Interaction styles, defined as mother-child conflict in the context of maternal sensitivity, were identified and described with demographic and stress-related characteristics of families. Longitudinal associations were tested between interaction styles and children’s later social competence. Participants included 814 partnered mothers with a first-grade child. Latent profile analysis identified agreeable, dynamic, and disconnected interaction styles. Mothers’ intimacy with a partner, depressive symptoms, and authoritarian childrearing beliefs, along with children’s later conflict with a best friend and externalizing problems, were associated with group membership. Notably, the dynamic style, characterized by high sensitivity and high conflict, included families who experienced psychological and relational stressors. Findings are discussed with regard to how family stressors shape parent-child interaction patterns. PMID:28751818

New approaches to the pharmacological treatment of obesity: can they break through the efficacy barrier?

PubMed

Kennett, G A; Clifton, P G

2010-11-01

In this review we assess the range of centrally active anorectics that are either in human clinical trials, or are likely to be so in the near future. We describe their weight loss efficacy, mode of action at both pharmacological and behavioural levels, where understood, together with the range of side effects that might be expected in clinical use. We have however evaluated these compounds against the considerably more rigorous criteria that are now being used by the Federal Drugs Agency and European Medicines Agency to decide approvals and market withdrawals. Several trends are evident. Recent advances in the understanding of energy balance control have resulted in the exploitation of a number of new targets, some of which have yielded promising data in clinical trials for weight loss. A second major trend is derived from the hypothesis that improved weight loss efficacy over current therapy is most likely to emerge from treatments targeting multiple mechanisms of energy balance control. This reasoning has led to the development of a number of new treatments for obesity where multiple mechanisms are targeted, either by a single molecule, such as tesofensine, or through drug combinations such as qnexa, contrave, empatic, and pramlintide+metreleptin. Many of these approaches also utilise advances in formulation technology to widen safety margins. Finally, the practicality of peptide therapies for obesity has become better validated in recent studies and this may allow more rapid exploitation of novel targets, rather than awaiting the development of orally available small molecules. We conclude that novel, more efficacious and better tolerated treatments for obesity may become available in the near future. Copyright © 2010 Elsevier Inc. All rights reserved.

A structural Model of Self-efficacy in Handball Referees

PubMed Central

Diotaiuti, Pierluigi; Falese, Lavinia; Mancone, Stefania; Purromuto, Francesco

2017-01-01

The study aimed to identify factors predicting self-efficacy in a sample of 248 Italian handball referees. The main hypothesis was that perception of teamwork efficacy would be a significant predictor of self-efficacy in handball referees. Participants completed an online questionnaire including Referee Self-Efficacy Scale (α = 0.85), Self-Determination Scale (α = 0.78), and an adaptation for Referees of the Sport Commitment Model (α = 0.80). Two hierarchical regression analyses have identified: (1) Enjoyment (β = 0.226), Couple Efficacy (β = 0.233), and Personal Awareness (β = 0.243), as predictors of Self-Efficacy; (2) Span of Co-Refereeing (β = 0.253), Perceived Quality of the Relationship (β = 0.239), and Mutual Agreement (β = 0.274), as predictors of Couple Self-Efficacy. A further SEM analysis confirmed the fit of a structural model of Self-efficacy considering the reciprocal influence of Couple Efficacy, Enjoyment and Awareness (χ2: 5.67; RMSEA: 0.000; SRMR: 0.019). The study underlines the importance of teamwork (or co-refereeing) as it relates to enjoyment and awareness in officiating and how it enhances the psychological well-being of handball referees. Future studies should investigate the relationship between factors influencing perceived teamwork efficacy and officiating performance outcome. PMID:28572783

A novel approach to identify genes that determine grain protein deviation in cereals.

PubMed

Mosleth, Ellen F; Wan, Yongfang; Lysenko, Artem; Chope, Gemma A; Penson, Simon P; Shewry, Peter R; Hawkesford, Malcolm J

2015-06-01

Grain yield and protein content were determined for six wheat cultivars grown over 3 years at multiple sites and at multiple nitrogen (N) fertilizer inputs. Although grain protein content was negatively correlated with yield, some grain samples had higher protein contents than expected based on their yields, a trait referred to as grain protein deviation (GPD). We used novel statistical approaches to identify gene transcripts significantly related to GPD across environments. The yield and protein content were initially adjusted for nitrogen fertilizer inputs and then adjusted for yield (to remove the negative correlation with protein content), resulting in a parameter termed corrected GPD. Significant genetic variation in corrected GPD was observed for six cultivars grown over a range of environmental conditions (a total of 584 samples). Gene transcript profiles were determined in a subset of 161 samples of developing grain to identify transcripts contributing to GPD. Principal component analysis (PCA), analysis of variance (ANOVA) and means of scores regression (MSR) were used to identify individual principal components (PCs) correlating with GPD alone. Scores of the selected PCs, which were significantly related to GPD and protein content but not to the yield and significantly affected by cultivar, were identified as reflecting a multivariate pattern of gene expression related to genetic variation in GPD. Transcripts with consistent variation along the selected PCs were identified by an approach hereby called one-block means of scores regression (one-block MSR). © 2014 The Authors. Plant Biotechnology Journal published by Society for Experimental Biology and The Association of Applied Biologists and John Wiley & Sons Ltd.

A Multiple-Tracer Approach for Identifying Sewage Sources to an Urban Stream System

USGS Publications Warehouse

Hyer, Kenneth Edward

2007-01-01

The presence of human-derived fecal coliform bacteria (sewage) in streams and rivers is recognized as a human health hazard. The source of these human-derived bacteria, however, is often difficult to identify and eliminate, because sewage can be delivered to streams through a variety of mechanisms, such as leaking sanitary sewers or private lateral lines, cross-connected pipes, straight pipes, sewer-line overflows, illicit dumping of septic waste, and vagrancy. A multiple-tracer study was conducted to identify site-specific sources of sewage in Accotink Creek, an urban stream in Fairfax County, Virginia, that is listed on the Commonwealth's priority list of impaired streams for violations of the fecal coliform bacteria standard. Beyond developing this multiple-tracer approach for locating sources of sewage inputs to Accotink Creek, the second objective of the study was to demonstrate how the multiple-tracer approach can be applied to other streams affected by sewage sources. The tracers used in this study were separated into indicator tracers, which are relatively simple and inexpensive to apply, and confirmatory tracers, which are relatively difficult and expensive to analyze. Indicator tracers include fecal coliform bacteria, surfactants, boron, chloride, chloride/bromide ratio, specific conductance, dissolved oxygen, turbidity, and water temperature. Confirmatory tracers include 13 organic compounds that are associated with human waste, including caffeine, cotinine, triclosan, a number of detergent metabolites, several fragrances, and several plasticizers. To identify sources of sewage to Accotink Creek, a detailed investigation of the Accotink Creek main channel, tributaries, and flowing storm drains was undertaken from 2001 to 2004. Sampling was conducted in a series of eight synoptic sampling events, each of which began at the most downstream site and extended upstream through the watershed and into the headwaters of each tributary. Using the synoptic

A large shRNA library approach identifies lncRNA Ntep as an essential regulator of cell proliferation

PubMed Central

Beermann, Julia; Kirste, Dominique; Iwanov, Katharina; Lu, Dongchao; Kleemiß, Felix; Kumarswamy, Regalla; Schimmel, Katharina; Bär, Christian; Thum, Thomas

2018-01-01

The mammalian cell cycle is a complex and tightly controlled event. Myriads of different control mechanisms are involved in its regulation. Long non-coding RNAs (lncRNA) have emerged as important regulators of many cellular processes including cellular proliferation. However, a more global and unbiased approach to identify lncRNAs with importance for cell proliferation is missing. Here, we present a lentiviral shRNA library-based approach for functional lncRNA profiling. We validated our library approach in NIH3T3 (3T3) fibroblasts by identifying lncRNAs critically involved in cell proliferation. Using stringent selection criteria we identified lncRNA NR_015491.1 out of 3842 different RNA targets represented in our library. We termed this transcript Ntep (non-coding transcript essential for proliferation), as a bona fide lncRNA essential for cell cycle progression. Inhibition of Ntep in 3T3 and primary fibroblasts prevented normal cell growth and expression of key fibroblast markers. Mechanistically, we discovered that Ntep is important to activate P53 concomitant with increased apoptosis and cell cycle blockade in late G2/M. Our findings suggest Ntep to serve as an important regulator of fibroblast proliferation and function. In summary, our study demonstrates the applicability of an innovative shRNA library approach to identify long non-coding RNA functions in a massive parallel approach. PMID:29099486

The Teacher Efficacy for Inclusive Practices (TEIP) Scale: Dimensionality and Factor Structure

ERIC Educational Resources Information Center

Park, Mi-Hwa; Dimitrov, Dimiter M.; Das, Ajay; Gichuru, Margaret

2016-01-01

The "Teacher Efficacy for Inclusive Practices" (TEIP) scale is designed to measure teacher-self efficacy to teach in inclusive classrooms. The original study identified three scale factors: "efficacy in using inclusive instruction" ("EII"), "efficacy in collaboration" ("EC"), and "efficacy in…

An Efficacious Multi-Objective Fuzzy Linear Programming Approach for Optimal Power Flow Considering Distributed Generation.

PubMed

Warid, Warid; Hizam, Hashim; Mariun, Norman; Abdul-Wahab, Noor Izzri

2016-01-01

This paper proposes a new formulation for the multi-objective optimal power flow (MOOPF) problem for meshed power networks considering distributed generation. An efficacious multi-objective fuzzy linear programming optimization (MFLP) algorithm is proposed to solve the aforementioned problem with and without considering the distributed generation (DG) effect. A variant combination of objectives is considered for simultaneous optimization, including power loss, voltage stability, and shunt capacitors MVAR reserve. Fuzzy membership functions for these objectives are designed with extreme targets, whereas the inequality constraints are treated as hard constraints. The multi-objective fuzzy optimal power flow (OPF) formulation was converted into a crisp OPF in a successive linear programming (SLP) framework and solved using an efficient interior point method (IPM). To test the efficacy of the proposed approach, simulations are performed on the IEEE 30-busand IEEE 118-bus test systems. The MFLP optimization is solved for several optimization cases. The obtained results are compared with those presented in the literature. A unique solution with a high satisfaction for the assigned targets is gained. Results demonstrate the effectiveness of the proposed MFLP technique in terms of solution optimality and rapid convergence. Moreover, the results indicate that using the optimal DG location with the MFLP algorithm provides the solution with the highest quality.

An Efficacious Multi-Objective Fuzzy Linear Programming Approach for Optimal Power Flow Considering Distributed Generation

PubMed Central

Warid, Warid; Hizam, Hashim; Mariun, Norman; Abdul-Wahab, Noor Izzri

2016-01-01

This paper proposes a new formulation for the multi-objective optimal power flow (MOOPF) problem for meshed power networks considering distributed generation. An efficacious multi-objective fuzzy linear programming optimization (MFLP) algorithm is proposed to solve the aforementioned problem with and without considering the distributed generation (DG) effect. A variant combination of objectives is considered for simultaneous optimization, including power loss, voltage stability, and shunt capacitors MVAR reserve. Fuzzy membership functions for these objectives are designed with extreme targets, whereas the inequality constraints are treated as hard constraints. The multi-objective fuzzy optimal power flow (OPF) formulation was converted into a crisp OPF in a successive linear programming (SLP) framework and solved using an efficient interior point method (IPM). To test the efficacy of the proposed approach, simulations are performed on the IEEE 30-busand IEEE 118-bus test systems. The MFLP optimization is solved for several optimization cases. The obtained results are compared with those presented in the literature. A unique solution with a high satisfaction for the assigned targets is gained. Results demonstrate the effectiveness of the proposed MFLP technique in terms of solution optimality and rapid convergence. Moreover, the results indicate that using the optimal DG location with the MFLP algorithm provides the solution with the highest quality. PMID:26954783

Using an interdisciplinary approach to identify factors that affect clinicians' compliance with evidence-based guidelines.

PubMed

Gurses, Ayse P; Marsteller, Jill A; Ozok, A Ant; Xiao, Yan; Owens, Sharon; Pronovost, Peter J

2010-08-01

Our objective was to identify factors that affect clinicians' compliance with the evidence-based guidelines using an interdisciplinary approach and develop a conceptual framework that can provide a comprehensive and practical guide for designing effective interventions. A literature review and a brainstorming session with 11 researchers from a variety of scientific disciplines were used to identify theoretical and conceptual models describing clinicians' guideline compliance. MEDLINE, EMBASE, CINAHL, and the bibliographies of the papers identified were used as data sources for identifying the relevant theoretical and conceptual models. Thirteen different models that originated from various disciplines including medicine, rural sociology, psychology, human factors and systems engineering, organizational management, marketing, and health education were identified. Four main categories of factors that affect compliance emerged from our analysis: clinician characteristics, guideline characteristics, system characteristics, and implementation characteristics. Based on these findings, we developed an interdisciplinary conceptual framework that specifies the expected interrelationships among these four categories of factors and their impact on clinicians' compliance. An interdisciplinary approach is needed to improve clinicians' compliance with evidence-based guidelines. The conceptual framework from this research can provide a comprehensive and systematic guide to identify barriers to guideline compliance and design effective interventions to improve patient safety.

MADGiC: a model-based approach for identifying driver genes in cancer

PubMed Central

Korthauer, Keegan D.; Kendziorski, Christina

2015-01-01

Motivation: Identifying and prioritizing somatic mutations is an important and challenging area of cancer research that can provide new insights into gene function as well as new targets for drug development. Most methods for prioritizing mutations rely primarily on frequency-based criteria, where a gene is identified as having a driver mutation if it is altered in significantly more samples than expected according to a background model. Although useful, frequency-based methods are limited in that all mutations are treated equally. It is well known, however, that some mutations have no functional consequence, while others may have a major deleterious impact. The spatial pattern of mutations within a gene provides further insight into their functional consequence. Properly accounting for these factors improves both the power and accuracy of inference. Also important is an accurate background model. Results: Here, we develop a Model-based Approach for identifying Driver Genes in Cancer (termed MADGiC) that incorporates both frequency and functional impact criteria and accommodates a number of factors to improve the background model. Simulation studies demonstrate advantages of the approach, including a substantial increase in power over competing methods. Further advantages are illustrated in an analysis of ovarian and lung cancer data from The Cancer Genome Atlas (TCGA) project. Availability and implementation: R code to implement this method is available at http://www.biostat.wisc.edu/ kendzior/MADGiC/. Contact: kendzior@biostat.wisc.edu Supplementary information: Supplementary data are available at Bioinformatics online. PMID:25573922

An innovative and integrated approach based on DNA walking to identify unauthorised GMOs.

PubMed

Fraiture, Marie-Alice; Herman, Philippe; Taverniers, Isabel; De Loose, Marc; Deforce, Dieter; Roosens, Nancy H

2014-03-15

In the coming years, the frequency of unauthorised genetically modified organisms (GMOs) being present in the European food and feed chain will increase significantly. Therefore, we have developed a strategy to identify unauthorised GMOs containing a pCAMBIA family vector, frequently present in transgenic plants. This integrated approach is performed in two successive steps on Bt rice grains. First, the potential presence of unauthorised GMOs is assessed by the qPCR SYBR®Green technology targeting the terminator 35S pCAMBIA element. Second, its presence is confirmed via the characterisation of the junction between the transgenic cassette and the rice genome. To this end, a DNA walking strategy is applied using a first reverse primer followed by two semi-nested PCR rounds using primers that are each time nested to the previous reverse primer. This approach allows to rapidly identify the transgene flanking region and can easily be implemented by the enforcement laboratories. Copyright © 2013 The Authors. Published by Elsevier Ltd.. All rights reserved.

The effect of neck-specific exercise with, or without a behavioral approach, on pain, disability, and self-efficacy in chronic whiplash-associated disorders: a randomized clinical trial.

PubMed

Ludvigsson, Maria L; Peterson, Gunnel; O'Leary, Shaun; Dedering, Åsa; Peolsson, Anneli

2015-04-01

The aim of this study was to compare the effect on self-rated pain, disability, and self-efficacy of 3 interventions for the management of chronic whiplash-associated disorders: physiotherapist-led neck-specific exercise (NSE), physiotherapist-led NSE with the addition of a behavioral approach, or Prescription of Physical Activity (PPA). A total of 216 volunteers with chronic whiplash-associated disorders participated in this randomized, assessor blinded, clinical trial of 3 exercise interventions. Self-rated pain/pain bothersomeness (Visual Analogue Scale), disability (Neck Disability Index), and self-efficacy (Self-Efficacy Scale) were evaluated at baseline and at 3 and 6 months. The proportion of patients reaching substantial reduction in pain bothersomness (at least 50% reduction) was more evident (P<0.01) in the 2 NSE groups (29% to 48%) compared with the PPA group (5%) at 3 months. At 6 months 39% to 44% of the patients in the 2 neck-specific groups and 28% in the PPA group reported substantial pain reduction. Reduction of disability was also larger in the 2 neck-specific exercise groups at both 3 and 6 months (P<0.02). Self-efficacy was only improved in the NSE group without a behavioral approach (P=0.02). However, there were no significant differences in any outcomes between the 2 physiotherapist-led NSE groups. NSE resulted in superior outcomes compared with PPA in this study, but the observed benefits of adding a behavioral approach to the implementation of exercise in this study were inconclusive.

Efficacy of Edwards' Cognitive Shift Approach to Art Education.

ERIC Educational Resources Information Center

Chambliss, Catherine A.; Hartl, Alan J.

1987-01-01

Noting the lack of experimental evidence substantiating the efficacy of educational strategies designed to exploit the right hemisphere of the brain, a study was designed to assess the cognitive shift model of the Edwards' training procedure. Results showed no difference between the Edwards' procedure and a placebo procedure. Implications for the…

Understanding Career Decision Self-Efficacy: A Meta-Analytic Approach

ERIC Educational Resources Information Center

Choi, Bo Young; Park, Heerak; Yang, Eunjoo; Lee, Seul Ki; Lee, Yedana; Lee, Sang Min

2012-01-01

This study used meta-analysis to investigate the relationships between career decision self-efficacy (CDSE) and its relevant variables. The authors aimed to integrate the mixed results reported by previous empirical studies and obtain a clearer understanding of CDSE's role within the framework of social cognitive career theory (SCCT). For purposes…

Identifying seizure onset zone from electrocorticographic recordings: A machine learning approach based on phase locking value.

PubMed

Elahian, Bahareh; Yeasin, Mohammed; Mudigoudar, Basanagoud; Wheless, James W; Babajani-Feremi, Abbas

2017-10-01

Using a novel technique based on phase locking value (PLV), we investigated the potential for features extracted from electrocorticographic (ECoG) recordings to serve as biomarkers to identify the seizure onset zone (SOZ). We computed the PLV between the phase of the amplitude of high gamma activity (80-150Hz) and the phase of lower frequency rhythms (4-30Hz) from ECoG recordings obtained from 10 patients with epilepsy (21 seizures). We extracted five features from the PLV and used a machine learning approach based on logistic regression to build a model that classifies electrodes as SOZ or non-SOZ. More than 96% of electrodes identified as the SOZ by our algorithm were within the resected area in six seizure-free patients. In four non-seizure-free patients, more than 31% of the identified SOZ electrodes by our algorithm were outside the resected area. In addition, we observed that the seizure outcome in non-seizure-free patients correlated with the number of non-resected SOZ electrodes identified by our algorithm. This machine learning approach, based on features extracted from the PLV, effectively identified electrodes within the SOZ. The approach has the potential to assist clinicians in surgical decision-making when pre-surgical intracranial recordings are utilized. Copyright © 2017 British Epilepsy Association. Published by Elsevier Ltd. All rights reserved.

Self-Regulation, Cooperative Learning, and Academic Self-Efficacy: Interactions to Prevent School Failure

PubMed Central

Fernandez-Rio, Javier; Cecchini, Jose A.; Méndez-Gimenez, Antonio; Mendez-Alonso, David; Prieto, Jose A.

2017-01-01

Learning to learn and learning to cooperate are two important goals for individuals. Moreover, self regulation has been identified as fundamental to prevent school failure. The goal of the present study was to assess the interactions between self-regulated learning, cooperative learning and academic self-efficacy in secondary education students experiencing cooperative learning as the main pedagogical approach for at least one school year. 2.513 secondary education students (1.308 males, 1.205 females), 12–17 years old (M = 13.85, SD = 1.29), enrolled in 17 different schools belonging to the National Network of Schools on Cooperative Learning in Spain agreed to participate. They all had experienced this pedagogical approach a minimum of one school year. Participants were asked to complete the cooperative learning questionnaire, the strategies to control the study questionnaire and the global academic self-efficacy questionnaire. Participants were grouped based on their perceptions on cooperative learning and self-regulated learning in their classes. A combination of hierarchical and κ-means cluster analyses was used. Results revealed a four-cluster solution: cluster one included students with low levels of cooperative learning, self-regulated learning and academic self-efficacy, cluster two included students with high levels of cooperative learning, self-regulated learning and academic self-efficacy, cluster three included students with high levels of cooperative learning, low levels of self-regulated learning and intermediate-low levels of academic self-efficacy, and, finally, cluster four included students with high levels of self-regulated learning, low levels of cooperative learning, and intermediate-high levels of academic self-efficacy. Self-regulated learning was found more influential than cooperative learning on students’ academic self-efficacy. In cooperative learning contexts students interact through different types of regulations: self, co, and

Self-Regulation, Cooperative Learning, and Academic Self-Efficacy: Interactions to Prevent School Failure.

PubMed

Fernandez-Rio, Javier; Cecchini, Jose A; Méndez-Gimenez, Antonio; Mendez-Alonso, David; Prieto, Jose A

2017-01-01

Learning to learn and learning to cooperate are two important goals for individuals. Moreover, self regulation has been identified as fundamental to prevent school failure. The goal of the present study was to assess the interactions between self-regulated learning, cooperative learning and academic self-efficacy in secondary education students experiencing cooperative learning as the main pedagogical approach for at least one school year. 2.513 secondary education students (1.308 males, 1.205 females), 12-17 years old ( M = 13.85, SD = 1.29), enrolled in 17 different schools belonging to the National Network of Schools on Cooperative Learning in Spain agreed to participate. They all had experienced this pedagogical approach a minimum of one school year. Participants were asked to complete the cooperative learning questionnaire, the strategies to control the study questionnaire and the global academic self-efficacy questionnaire. Participants were grouped based on their perceptions on cooperative learning and self-regulated learning in their classes. A combination of hierarchical and κ -means cluster analyses was used. Results revealed a four-cluster solution: cluster one included students with low levels of cooperative learning, self-regulated learning and academic self-efficacy, cluster two included students with high levels of cooperative learning, self-regulated learning and academic self-efficacy, cluster three included students with high levels of cooperative learning, low levels of self-regulated learning and intermediate-low levels of academic self-efficacy, and, finally, cluster four included students with high levels of self-regulated learning, low levels of cooperative learning, and intermediate-high levels of academic self-efficacy. Self-regulated learning was found more influential than cooperative learning on students' academic self-efficacy. In cooperative learning contexts students interact through different types of regulations: self, co, and

Rapid, non-invasive imaging of alphaviral brain infection: reducing animal numbers and morbidity to identify efficacy of potential vaccines and antivirals.

PubMed

Patterson, Michael; Poussard, Allison; Taylor, Katherine; Seregin, Alexey; Smith, Jeanon; Peng, Bi-Hung; Walker, Aida; Linde, Jenna; Smith, Jennifer; Salazar, Milagros; Paessler, Slobodan

2011-11-21

Rapid and accurate identification of disease progression are key factors in testing novel vaccines and antivirals against encephalitic alphaviruses. Typical efficacy studies utilize a large number of animals and severe morbidity or mortality as an endpoint. New technologies provide a means to reduce and refine the animal use as proposed in Hume's 3Rs (replacement, reduction, refinement) described by Russel and Burch. In vivo imaging systems (IVIS) and bioluminescent enzyme technologies accomplish the reduction of animal requirements while shortening the experimental time and improving the accuracy in localizing active virus replication. In the case of murine models of viral encephalitis in which central nervous system (CNS) viral invasion occurs rapidly but the disease development is relatively slow, we visualized the initial brain infection and enhance the data collection process required for efficacy studies on antivirals or vaccines that are aimed at preventing brain infection. Accordingly, we infected mice through intranasal inoculation with the genetically modified pathogen, Venezuelan equine encephalitis, which expresses a luciferase gene. In this study, we were able to identify the invasion of the CNS at least 3 days before any clinical signs of disease, allowing for reduction of animal morbidity providing a humane means of disease and vaccine research while obtaining scientific data accurately and more rapidly. Based on our data from the imaging model, we confirmed the usefulness of this technology in preclinical research by demonstrating the efficacy of Ampligen, a TLR-3 agonist, in preventing CNS invasion. Copyright © 2011 Elsevier Ltd. All rights reserved.

A bioinformatics approach to identify patients with symptomatic peanut allergy using peptide microarray immunoassay

PubMed Central

Lin, Jing; Bruni, Francesca M.; Fu, Zhiyan; Maloney, Jennifer; Bardina, Ludmilla; Boner, Attilio L.; Gimenez, Gustavo; Sampson, Hugh A.

2013-01-01

Background Peanut allergy is relatively common, typically permanent, and often severe. Double-blind, placebo-controlled food challenge is considered the gold standard for the diagnosis of food allergy–related disorders. However, the complexity and potential of double-blind, placebo-controlled food challenge to cause life-threatening allergic reactions affects its clinical application. A laboratory test that could accurately diagnose symptomatic peanut allergy would greatly facilitate clinical practice. Objective We sought to develop an allergy diagnostic method that could correctly predict symptomatic peanut allergy by using peptide microarray immunoassays and bioinformatic methods. Methods Microarray immunoassays were performed by using the sera from 62 patients (31 with symptomatic peanut allergy and 31 who had outgrown their peanut allergy or were sensitized but were clinically tolerant to peanut). Specific IgE and IgG4 binding to 419 overlapping peptides (15 mers, 3 offset) covering the amino acid sequences of Ara h 1, Ara h 2, and Ara h 3 were measured by using a peptide microarray immunoassay. Bioinformatic methods were applied for data analysis. Results Individuals with peanut allergy showed significantly greater IgE binding and broader epitope diversity than did peanut-tolerant individuals. No significant difference in IgG4 binding was found between groups. By using machine learning methods, 4 peptide biomarkers were identified and prediction models that can predict the outcome of double-blind, placebo-controlled food challenges with high accuracy were developed by using a combination of the biomarkers. Conclusions In this study, we developed a novel diagnostic approach that can predict peanut allergy with high accuracy by combining the results of a peptide microarray immunoassay and bioinformatic methods. Further studies are needed to validate the efficacy of this assay in clinical practice. PMID:22444503

Efficacy of Keyhole Approach to Carpal Tunnel Syndrome under Ambulatory Strategy

PubMed Central

García-Mercado, César J.; Segura-Durán, Iván; Zepeda-Gutiérrez, Luis A.

2017-01-01

The carpal tunnel syndrome is one of the most common entrapment neuropathies found in humans. Currently, the gold standard is surgical treatment using different modalities. The minimally invasive strategy with high resolution capacity and less morbidity is still a challenge. Methods. Prospective nonrandomised clinical trial in which a minimally invasive microsurgical approach was used following the keyhole principle in 55 consecutive patients and 65 hands under local anesthesia and ambulatory strategy. They were evaluated with stringent inclusion criteria with the Levine severity and functional status scale and with a 2-year follow-up. Results. 90% showed immediate improvement dropping to grades 1-2 in all items of the scale referring to pain and numbness. 97% reported improvement, as of the first month, and 3% reported persistence of symptoms, although at a lesser degree and with no functional limitation. No incidents were identified during the procedure and 98% of patients were discharged within an hour after the surgical procedure. Conclusions. The microsurgical approach described following the keyhole principle is a treatment option that, under local anesthesia and ambulatory management, may represent an alternative strategy of an effective treatment reducing the morbidity. This trial is registered with Clinical Trials Protocol Identifier NCT03062722. PMID:28484650

A Comparison of the Effects of Three Intervention Approaches on Parental Self-Efficacy, Parenting Skills, and Parental Stress Levels of Impoverished Parents

ERIC Educational Resources Information Center

Rooney, MaryEllen

2012-01-01

The purpose of this study is to compare three intervention approaches that focused on alleviating some of the deleterious effects of poverty by building parental self-efficacy, increasing parenting skills, and decreasing parental stress levels in parents at-risk for negative child outcomes due to factors associated with adverse socioeconomic…

A decision-theoretic approach to identifying future high-cost patients.

PubMed

Pietz, Kenneth; Byrne, Margaret M; Petersen, Laura A

2006-09-01

The objective of this study was to develop and evaluate a method of allocating funding for very-high-cost (VHC) patients among hospitals. Diagnostic cost groups (DCGs) were used for risk adjustment. The patient population consisted of 253,013 veterans who used Department of Veterans Affairs (VA) medical care services in fiscal year (FY) 2003 (October 1, 2002-September 30, 2003) in a network of 8 VA hospitals. We defined VHC as greater than 75,000 dollars (0.81%). The upper fifth percentile was also used for comparison. A Bayesian decision rule for classifying patients as VHC/not VHC using DCGs was developed and evaluated. The method uses FY 2003 DCGs to allocate VHC funds for FY 2004. We also used FY 2002 DCGs to allocate VHC funds for FY 2003 for comparison. The resulting allocation was compared with using the allocation of VHC patients among the hospitals in the previous year. The decision rule identified DCG 17 as the optimal cutoff for identifying VHC patients for the next year. The previous year's allocation came closest to the actual distribution of VHC patients. The decision-theoretic approach may provide insight into the economic consequences of classifying a patient as VHC or not VHC. More research is needed into methods of identifying future VHC patients so that capitation plans can fairly reimburse healthcare systems for appropriately treating these patients.

Biomedical Approaches to HIV Prevention in Women.

PubMed

Heumann, Christine L

2018-04-17

Effective HIV prevention techniques for women are of critical importance, as nearly half of all HIV infections globally are in women. This article reviews the recent literature on biomedical approaches to HIV prevention in women. In trials in which women were adherent to oral pre-exposure prophylaxis (PrEP), PrEP was equally efficacious in men and women. However, in studies of oral PrEP exclusively in women, adherence was low, and it was not efficacious. In trials of topical PrEP, including vaginal tenofovir gel and the monthly dapivirine ring, efficacy was also dependent upon adherence. Treatment as prevention (TasP) is a very effective HIV prevention strategy, though limited in that it is not controlled by the HIV-uninfected partner. Adherence is an important factor in the efficacy of biomedical interventions for HIV prevention in women; continued research is needed to identify the most efficacious and acceptable agents for women. Oral PrEP is currently recommended for the following groups of HIV-negative women: heterosexual women in ongoing sexual relationships with a partner infected with or at substantial risk of HIV infection and women who inject drugs and share injection or drug preparation equipment.

Prelicensure Employment and Student Nurse Self-Efficacy.

PubMed

Grimm, Khristina L

There is a lack of literature regarding how prelicensure employment affects self-efficacy in nursing practice. The purpose of this study was to examine the relationship among prelicensure employment and self-efficacy in nursing practice of senior student nurses. Healthcare experience was identified as the best predictor of positive self-efficacy in managing an assignment of three and four patients. Findings of this study provide insight for providing orientation for newly licensed nurses regarding their readiness to practice.

A topographical map approach to representing treatment efficacy: a focus on positive psychology interventions.

PubMed

Gorlin, Eugenia I; Lee, Josephine; Otto, Michael W

2018-01-01

A recent meta-analysis by Bolier et al. indicated that positive psychology interventions have overall small to moderate effects on well-being, but results were quite heterogeneous across intervention trials. Such meta-analytic research helps condense information on the efficacy of a broad psychosocial intervention by averaging across many effects; however, such global averages may provide limited navigational guidance for selecting among specific interventions. Here, we introduce a novel method for displaying qualitative and quantitative information on the efficacy of interventions using a topographical map approach. As an initial prototype for demonstrating this method, we mapped 50 positive psychology interventions targeting well-being (as captured in the Bolier et al. [2013] meta-analysis, [Bolier, L., Haverman, M., Westerhof, G. J., Riper, H., Smit, F., & Bohlmeijer, E. (2013). Positive psychology interventions: A meta-analysis of randomized controlled studies. BMC Public Health, 13, 83]). Each intervention domain/subdomain was mapped according to its average effect size (indexed by vertical elevation), number of studies providing effect sizes (indexed by horizontal area), and therapist/client burden (indexed by shading). The geographical placement of intervention domains/subdomains was determined by their conceptual proximity, allowing viewers to gauge the general conceptual "direction" in which promising intervention effects can be found. The resulting graphical displays revealed several prominent features of the well-being intervention "landscape," such as more strongly and uniformly positive effects of future-focused interventions (including, goal-pursuit and optimism training) compared to past/present-focused ones.

A biochemical approach to identifying microRNA targets

PubMed Central

Karginov, Fedor V.; Conaco, Cecilia; Xuan, Zhenyu; Schmidt, Bryan H.; Parker, Joel S.; Mandel, Gail; Hannon, Gregory J.

2007-01-01

Identifying the downstream targets of microRNAs (miRNAs) is essential to understanding cellular regulatory networks. We devised a direct biochemical method for miRNA target discovery that combined RNA-induced silencing complex (RISC) purification with microarray analysis of bound mRNAs. Because targets of miR-124a have been analyzed, we chose it as our model. We honed our approach both by examining the determinants of stable binding between RISC and synthetic target RNAs in vitro and by determining the dependency of both repression and RISC coimmunoprecipitation on miR-124a seed sites in two of its well characterized targets in vivo. Examining the complete spectrum of miR-124 targets in 293 cells yielded both a set that were down-regulated at the mRNA level, as previously observed, and a set whose mRNA levels were unaffected by miR-124a. Reporter assays validated both classes, extending the spectrum of mRNA targets that can be experimentally linked to the miRNA pathway. PMID:18042700

An Approach to Identify and Characterize a Subunit Candidate Shigella Vaccine Antigen.

PubMed

Pore, Debasis; Chakrabarti, Manoj K

2016-01-01

Shigellosis remains a serious issue throughout the developing countries, particularly in children under the age of 5. Numerous strategies have been tested to develop vaccines targeting shigellosis; unfortunately despite several years of extensive research, no safe, effective, and inexpensive vaccine against shigellosis is available so far. Here, we illustrate in detail an approach to identify and establish immunogenic outer membrane proteins from Shigella flexneri 2a as subunit vaccine candidates.

Pedagogical approaches, contextual variables, and the development of student self-efficacy in undergraduate physics courses

NASA Astrophysics Data System (ADS)

Fencl, Heidi S.; Scheel, Karen R.

2004-09-01

Self-efficacy, or a person's situation-specific belief that s/he can succeed in a given task, has been successful in a variety of educational studies for predicting behaviors such as perseverance and success (grades), and for understanding which behaviors are attempted or avoided. The focus of this study was to examine if classroom factors such as teaching strategies and classroom climate contribute to students' physics self-efficacy. 121 undergraduates in first semester, calculus-based introductory physics courses completed surveys assessing course experiences, self-efficacy and other outcome variables, and demographic information. Students in sections including a mix of teaching strategies did significantly better than students in the traditional section on outcome variables including self-efficacy. When individual strategies were examined, the strongest relationships were found between cooperative learning strategies and all sources of self-efficacy, and between climate variables and all sources of efficacy.

Comparative efficacy of simultaneous versus sequential multiple health behavior change interventions among adults: A systematic review of randomised trials.

PubMed

James, Erica; Freund, Megan; Booth, Angela; Duncan, Mitch J; Johnson, Natalie; Short, Camille E; Wolfenden, Luke; Stacey, Fiona G; Kay-Lambkin, Frances; Vandelanotte, Corneel

2016-08-01

Growing evidence points to the benefits of addressing multiple health behaviors rather than single behaviors. This review evaluates the relative effectiveness of simultaneous and sequentially delivered multiple health behavior change (MHBC) interventions. Secondary aims were to identify: a) the most effective spacing of sequentially delivered components; b) differences in efficacy of MHBC interventions for adoption/cessation behaviors and lifestyle/addictive behaviors, and; c) differences in trial retention between simultaneously and sequentially delivered interventions. MHBC intervention trials published up to October 2015 were identified through a systematic search. Eligible trials were randomised controlled trials that directly compared simultaneous and sequential delivery of a MHBC intervention. A narrative synthesis was undertaken. Six trials met the inclusion criteria and across these trials the behaviors targeted were smoking, diet, physical activity, and alcohol consumption. Three trials reported a difference in intervention effect between a sequential and simultaneous approach in at least one behavioral outcome. Of these, two trials favoured a sequential approach on smoking. One trial favoured a simultaneous approach on fat intake. There was no difference in retention between sequential and simultaneous approaches. There is limited evidence regarding the relative effectiveness of sequential and simultaneous approaches. Given only three of the six trials observed a difference in intervention effectiveness for one health behavior outcome, and the relatively consistent finding that the sequential and simultaneous approaches were more effective than a usual/minimal care control condition, it appears that both approaches should be considered equally efficacious. PROSPERO registration number: CRD42015027876. Copyright © 2016 Elsevier Inc. All rights reserved.

Integrative biology approach identifies cytokine targeting strategies for psoriasis.

PubMed

Perera, Gayathri K; Ainali, Chrysanthi; Semenova, Ekaterina; Hundhausen, Christian; Barinaga, Guillermo; Kassen, Deepika; Williams, Andrew E; Mirza, Muddassar M; Balazs, Mercedesz; Wang, Xiaoting; Rodriguez, Robert Sanchez; Alendar, Andrej; Barker, Jonathan; Tsoka, Sophia; Ouyang, Wenjun; Nestle, Frank O

2014-02-12

Cytokines are critical checkpoints of inflammation. The treatment of human autoimmune disease has been revolutionized by targeting inflammatory cytokines as key drivers of disease pathogenesis. Despite this, there exist numerous pitfalls when translating preclinical data into the clinic. We developed an integrative biology approach combining human disease transcriptome data sets with clinically relevant in vivo models in an attempt to bridge this translational gap. We chose interleukin-22 (IL-22) as a model cytokine because of its potentially important proinflammatory role in epithelial tissues. Injection of IL-22 into normal human skin grafts produced marked inflammatory skin changes resembling human psoriasis. Injection of anti-IL-22 monoclonal antibody in a human xenotransplant model of psoriasis, developed specifically to test potential therapeutic candidates, efficiently blocked skin inflammation. Bioinformatic analysis integrating both the IL-22 and anti-IL-22 cytokine transcriptomes and mapping them onto a psoriasis disease gene coexpression network identified key cytokine-dependent hub genes. Using knockout mice and small-molecule blockade, we show that one of these hub genes, the so far unexplored serine/threonine kinase PIM1, is a critical checkpoint for human skin inflammation and potential future therapeutic target in psoriasis. Using in silico integration of human data sets and biological models, we were able to identify a new target in the treatment of psoriasis.

Career Development, Collective Efficacy, and Individual Task Performance

ERIC Educational Resources Information Center

Kellett, Janet B.; Humphrey, Ronald H.; Sleeth, Randall G.

2009-01-01

Purpose: The purpose of this paper is to test the hypothesis that perceived collective efficacy would mediate the effects of self-efficacy on individual task performance. Design/methodology/approach: An assessment center design with 147 participants in 49 three-person groups was used. Findings: It is found that for individuals working on an…

Master Logic Diagram: An Approach to Identify Initiating Events of HTGRs

NASA Astrophysics Data System (ADS)

Purba, J. H.

2018-02-01

Initiating events of a nuclear power plant being evaluated need to be firstly identified prior to applying probabilistic safety assessment on that plant. Various types of master logic diagrams (MLDs) have been proposedforsearching initiating events of the next generation of nuclear power plants, which have limited data and operating experiences. Those MLDs are different in the number of steps or levels and different in the basis for developing them. This study proposed another type of MLD approach to find high temperature gas cooled reactor (HTGR) initiating events. It consists of five functional steps starting from the top event representing the final objective of the safety functions to the basic event representing the goal of the MLD development, which is an initiating event. The application of the proposed approach to search for two HTGR initiating events, i.e. power turbine generator trip and loss of offsite power, is provided. The results confirmed that the proposed MLD is feasiblefor finding HTGR initiating events.

Measuring and Examining General Self-Efficacy among Community College Students: A Structural Equation Modeling Approach

ERIC Educational Resources Information Center

Chen, Yu; Starobin, Soko S.

2018-01-01

This study examined a psychosocial mechanism of how general self-efficacy interacts with other key factors and influences degree aspiration for students enrolled in an urban diverse community college. Using general self-efficacy scales, the authors hypothesized the General Self-efficacy model for Community College students (the GSE-CC model). A…

Importance of multi-modal approaches to effectively identify cataract cases from electronic health records.

PubMed

Peissig, Peggy L; Rasmussen, Luke V; Berg, Richard L; Linneman, James G; McCarty, Catherine A; Waudby, Carol; Chen, Lin; Denny, Joshua C; Wilke, Russell A; Pathak, Jyotishman; Carrell, David; Kho, Abel N; Starren, Justin B

2012-01-01

There is increasing interest in using electronic health records (EHRs) to identify subjects for genomic association studies, due in part to the availability of large amounts of clinical data and the expected cost efficiencies of subject identification. We describe the construction and validation of an EHR-based algorithm to identify subjects with age-related cataracts. We used a multi-modal strategy consisting of structured database querying, natural language processing on free-text documents, and optical character recognition on scanned clinical images to identify cataract subjects and related cataract attributes. Extensive validation on 3657 subjects compared the multi-modal results to manual chart review. The algorithm was also implemented at participating electronic MEdical Records and GEnomics (eMERGE) institutions. An EHR-based cataract phenotyping algorithm was successfully developed and validated, resulting in positive predictive values (PPVs) >95%. The multi-modal approach increased the identification of cataract subject attributes by a factor of three compared to single-mode approaches while maintaining high PPV. Components of the cataract algorithm were successfully deployed at three other institutions with similar accuracy. A multi-modal strategy incorporating optical character recognition and natural language processing may increase the number of cases identified while maintaining similar PPVs. Such algorithms, however, require that the needed information be embedded within clinical documents. We have demonstrated that algorithms to identify and characterize cataracts can be developed utilizing data collected via the EHR. These algorithms provide a high level of accuracy even when implemented across multiple EHRs and institutional boundaries.

Importance of multi-modal approaches to effectively identify cataract cases from electronic health records

PubMed Central

Rasmussen, Luke V; Berg, Richard L; Linneman, James G; McCarty, Catherine A; Waudby, Carol; Chen, Lin; Denny, Joshua C; Wilke, Russell A; Pathak, Jyotishman; Carrell, David; Kho, Abel N; Starren, Justin B

2012-01-01

Objective There is increasing interest in using electronic health records (EHRs) to identify subjects for genomic association studies, due in part to the availability of large amounts of clinical data and the expected cost efficiencies of subject identification. We describe the construction and validation of an EHR-based algorithm to identify subjects with age-related cataracts. Materials and methods We used a multi-modal strategy consisting of structured database querying, natural language processing on free-text documents, and optical character recognition on scanned clinical images to identify cataract subjects and related cataract attributes. Extensive validation on 3657 subjects compared the multi-modal results to manual chart review. The algorithm was also implemented at participating electronic MEdical Records and GEnomics (eMERGE) institutions. Results An EHR-based cataract phenotyping algorithm was successfully developed and validated, resulting in positive predictive values (PPVs) >95%. The multi-modal approach increased the identification of cataract subject attributes by a factor of three compared to single-mode approaches while maintaining high PPV. Components of the cataract algorithm were successfully deployed at three other institutions with similar accuracy. Discussion A multi-modal strategy incorporating optical character recognition and natural language processing may increase the number of cases identified while maintaining similar PPVs. Such algorithms, however, require that the needed information be embedded within clinical documents. Conclusion We have demonstrated that algorithms to identify and characterize cataracts can be developed utilizing data collected via the EHR. These algorithms provide a high level of accuracy even when implemented across multiple EHRs and institutional boundaries. PMID:22319176

Identifying quality-markers from Shengmai San protects against transgenic mouse model of Alzheimer's disease using chinmedomics approach.

PubMed

Zhang, Ai-Hua; Yu, Jing-Bo; Sun, Hui; Kong, Ling; Wang, Xiang-Qian; Zhang, Qing-Yu; Wang, Xi-Jun

2018-04-03

Shengmai San (SMS), a Chinese classic herbal formula, has been widely used for the treatment of Qi-Yin deficiency syndrome in Asia. Modern pharmacological studies have shown that SMS improves the cognitive function. However, the quality markers (Q-markers) for SMS still need further research. Using chinmedocmics strategy to systematically evaluate the efficacy of SMS in the treatment of APPswe/PS1dE9 (APP/PS1) transgenic model of Alzheimer's disease (AD) and to discover the efficacy-related Q-markers. The effect of SMS on APP/PS1 mice was evaluated by behavioral test, immunohistochemistry and urine metabolic profile, and the urine marker metabolites associated with SMS treatment of AD were characterized using metabolomics method. In the premise of efficacy, Serum Pharmacochemistry of Traditional Chinese Medicine was applied to investigate the in vivo constituents of SMS. A correlation analysis between marker metabolites of therapeutic effects and serum constituents was completed by chinmedomics approach. SMS had a therapeutic effect on APP/PS1 mice, and 34 potential urine biomarkers were reversed by SMS treatment. A total of 17 in vivo constituents were detected, including 14 prototype components and 3 metabolites. The correlation analysis showed that eight constituents were extremely correlated with protective effects of SMS in AD, and considered as potential Q-markers of SMS, including schisandrin, isoschisandrin, angeloylgomisin Q, gomisin D, angeloylgomisin H, gomisin M2, ginsenoside F1, 20(R)-ginsenoside Rg3. This study has demonstrated that chinmedomics is novel strategy for discovering the potential effective constituents from herbal formula, which are recognized as Q-markers. Copyright © 2018 Elsevier GmbH. All rights reserved.

Newer Approaches to Identify Potential Untoward Effects in Functional Foods.

PubMed

Marone, Palma Ann; Birkenbach, Victoria L; Hayes, A Wallace

2016-01-01

Globalization has greatly accelerated the numbers and variety of food and beverage products available worldwide. The exchange among greater numbers of countries, manufacturers, and products in the United States and worldwide has necessitated enhanced quality measures for nutritional products for larger populations increasingly reliant on functionality. These functional foods, those that provide benefit beyond basic nutrition, are increasingly being used for their potential to alleviate food insufficiency while enhancing quality and longevity of life. In the United States alone, a steady import increase of greater than 15% per year or 24 million shipments, over 70% products of which are food related, is regulated under the Food and Drug Administration (FDA). This unparalleled growth has resulted in the need for faster, cheaper, and better safety and efficacy screening methods in the form of harmonized guidelines and recommendations for product standardization. In an effort to meet this need, the in vitro toxicology testing market has similarly grown with an anticipatory 15% increase between 2010 and 2015 of US$1.3 to US$2.7 billion. Although traditionally occupying a small fraction of the market behind pharmaceuticals and cosmetic/household products, the scope of functional food testing, including additives/supplements, ingredients, residues, contact/processing, and contaminants, is potentially expansive. Similarly, as functional food testing has progressed, so has the need to identify potential adverse factors that threaten the safety and quality of these products. © The Author(s) 2015.

Predictors of breast feeding self-efficacy in the immediate postpartum period: A cross-sectional study.

PubMed

Yang, Xiao; Gao, Ling-Ling; Ip, Wan-Yim; Sally Chan, Wai Chi

2016-10-01

to examine breast feeding self-efficacy and identify its predictors among mainland Chinese mothers in the early postpartum period. a cross-sectional descriptive questionnaire survey was conducted in a regional teaching hospital with childbirth rate over 3000 per year at Guangzhou, China from April 1 to July 14, 2014. a total of 571 Chinese mothers who were within 72-96hours post partum were recruited consecutively to the study. data were collected by the Chinese version of the Breastfeeding Self-efficacy Scale-Short Form (BSES-SF), the Network Support for Breastfeeding Scale (NSBS) and a socio-demographic data sheet. a total of 640 eligible women was approached and 571 mothers completed the study with the response rate of 89%. Mothers reported moderate level of breast feeding self-efficacy in the immediate postpartum period. The best-fit regression analysis revealed six variables that explained 43.9% of the variance in breast feeding self-efficacy in the immediate postpartum period. They were intention of breast feeding, support from husband, support from nurses/midwives, attending antenatal breast feeding classes, time from childbirth to initiate breast feeding and previous breast feeding experience. this study found six predictors of breast feeding self-efficacy in the immediate postpartum period. In order to increase maternal breast feeding self-efficacy level, a more women-centred approach is recommended. Mothers and fathers should be facilitated to attend antenatal classes on breast feeding. New mother' husband could be encouraged in supporting breast feeding. Nurses and midwives could encourage new mothers to initiate breast feeding as soon as possible. Further work to promote early mother-infant contact post birth, such as via skin to skin contact should also be facilitated where possible. Copyright © 2016 Elsevier Ltd. All rights reserved.

Improving accuracy for identifying related PubMed queries by an integrated approach.

PubMed

Lu, Zhiyong; Wilbur, W John

2009-10-01

PubMed is the most widely used tool for searching biomedical literature online. As with many other online search tools, a user often types a series of multiple related queries before retrieving satisfactory results to fulfill a single information need. Meanwhile, it is also a common phenomenon to see a user type queries on unrelated topics in a single session. In order to study PubMed users' search strategies, it is necessary to be able to automatically separate unrelated queries and group together related queries. Here, we report a novel approach combining both lexical and contextual analyses for segmenting PubMed query sessions and identifying related queries and compare its performance with the previous approach based solely on concept mapping. We experimented with our integrated approach on sample data consisting of 1539 pairs of consecutive user queries in 351 user sessions. The prediction results of 1396 pairs agreed with the gold-standard annotations, achieving an overall accuracy of 90.7%. This demonstrates that our approach is significantly better than the previously published method. By applying this approach to a one day query log of PubMed, we found that a significant proportion of information needs involved more than one PubMed query, and that most of the consecutive queries for the same information need are lexically related. Finally, the proposed PubMed distance is shown to be an accurate and meaningful measure for determining the contextual similarity between biological terms. The integrated approach can play a critical role in handling real-world PubMed query log data as is demonstrated in our experiments.

Identifying the Etiology: A Systematic Approach Using Delayed Enhancement Cardiovascular Magnetic Resonance

PubMed Central

Senthilkumar, Annamalai; Majmudar, Maulik D.; Shenoy, Chetan; Kim, Han W.; Kim, Raymond J.

2009-01-01

SYNOPSIS In patients with heart failure, treatment and survival are directly related to the etiology. Clinically, as a practical first step, patients are classified as having either ischemic or nonischemic cardiomyopathy and this delineation is usually based on the presence or absence of epicardial coronary artery disease. However, this approach does not account for patients with nonischemic cardiomyopathy who also have coronary artery disease, which may be either incidental or partly contributing to myocardial dysfunction (mixed cardiomyopathy). By allowing direct assessment of the myocardium, delayed enhancement cardiovascular magnetic resonance (DE-CMR) may aid in addressing these conundrums. In this article we explore how DE-CMR may be helpful in identifying ischemic and nonischemic myopathic processes and detail a systematic approach using this technique to determine the etiology of cardiomyopathy. PMID:19564013

Systems approaches in osteoarthritis: Identifying routes to novel diagnostic and therapeutic strategies

PubMed Central

Mueller, Alan J.; Peffers, Mandy J.; Proctor, Carole J.

2017-01-01

ABSTRACT Systems orientated research offers the possibility of identifying novel therapeutic targets and relevant diagnostic markers for complex diseases such as osteoarthritis. This review demonstrates that the osteoarthritis research community has been slow to incorporate systems orientated approaches into research studies, although a number of key studies reveal novel insights into the regulatory mechanisms that contribute both to joint tissue homeostasis and its dysfunction. The review introduces both top‐down and bottom‐up approaches employed in the study of osteoarthritis. A holistic and multiscale approach, where clinical measurements may predict dysregulation and progression of joint degeneration, should be a key objective in future research. The review concludes with suggestions for further research and emerging trends not least of which is the coupled development of diagnostic tests and therapeutics as part of a concerted effort by the osteoarthritis research community to meet clinical needs. © 2017 The Authors. Journal of Orthopaedic Research Published by Wiley Periodicals, Inc. on behalf of Orthopaedic Research Society. J Orthop Res 35:1573–1588, 2017. PMID:28318047

A new approach to hazardous materials transportation risk analysis: decision modeling to identify critical variables.

PubMed

Clark, Renee M; Besterfield-Sacre, Mary E

2009-03-01

We take a novel approach to analyzing hazardous materials transportation risk in this research. Previous studies analyzed this risk from an operations research (OR) or quantitative risk assessment (QRA) perspective by minimizing or calculating risk along a transport route. Further, even though the majority of incidents occur when containers are unloaded, the research has not focused on transportation-related activities, including container loading and unloading. In this work, we developed a decision model of a hazardous materials release during unloading using actual data and an exploratory data modeling approach. Previous studies have had a theoretical perspective in terms of identifying and advancing the key variables related to this risk, and there has not been a focus on probability and statistics-based approaches for doing this. Our decision model empirically identifies the critical variables using an exploratory methodology for a large, highly categorical database involving latent class analysis (LCA), loglinear modeling, and Bayesian networking. Our model identified the most influential variables and countermeasures for two consequences of a hazmat incident, dollar loss and release quantity, and is one of the first models to do this. The most influential variables were found to be related to the failure of the container. In addition to analyzing hazmat risk, our methodology can be used to develop data-driven models for strategic decision making in other domains involving risk.

Efficacy methods to evaluate health communication and marketing campaigns.

PubMed

Evans, W Douglas; Uhrig, Jennifer; Davis, Kevin; McCormack, Lauren

2009-06-01

Communication and marketing are growing areas of health research, but relatively few rigorous efficacy studies have been conducted in these fields. In this article, we review recent health communication and marketing efficacy research, present two case studies that illustrate some of the considerations in making efficacy design choices, and advocate for greater emphasis on rigorous health communication and marketing efficacy research and the development of a research agenda. Much of the outcomes research in health communication and marketing, especially mass media, utilizes effectiveness designs conducted in real time, in the media markets or communities in which messages are delivered. Such evaluations may be impractical or impossible, however, imiting opportunities to advance the state of health communication and marketing research and the knowledge base on effective campaign strategies, messages, and channels. Efficacy and effectiveness studies use similar measures of behavior change. Efficacy studies, however, offer greater opportunities for experimental control, message exposure, and testing of health communication and marketing theory. By examining the literature and two in-depth case studies, we identify advantages and limitations to efficacy studies. We also identify considerations for when to adopt efficacy and effectiveness methods, alone or in combination. Finally, we outline a research agenda to investigate issues of internal and external validity, mode of message presentation, differences between marketing and message strategies, and behavioral outcomes.

Development of Self-Efficacy towards Using Alternative Assessment Scale

ERIC Educational Resources Information Center

Buldur, Serkan; Tatar, Nilgun

2011-01-01

Determining the candidate teachers' opinions regarding self-efficacy towards alternative assessment will be beneficial in that this will improve their competencies while using these approaches in their applications within the classroom. In this article, the development and validation of the "Self-efficacy towards Using Alternative Assessment…

Background Characteristics as Predictors of Greek Teachers' Self-Efficacy

ERIC Educational Resources Information Center

Gkolia, Aikaterini; Dimitrios, Belias A.; Koustelios, Athanasios

2016-01-01

Purpose: The purpose of this paper is to investigate the relationship between elementary and secondary teachers' background characteristics and constructs of self-efficacy, using the Teachers' Sense of Efficacy Scale--TSES, during a difficult economic period for Greece and other European countries. Design/methodology/approach Equation modeling…

Impact of virtual learning environment (VLE): A technological approach to genetics teaching on high school students' content knowledge, self-efficacy and career goal aspirations

NASA Astrophysics Data System (ADS)

Kandi, Kamala M.

This study examines the effect of a technology-based instructional tool 'Geniverse' on the content knowledge gains, Science Self-Efficacy, Technology Self-Efficacy, and Career Goal Aspirations among 283 high school learners. The study was conducted in four urban high schools, two of which have achieved Adequate Yearly Progress (AYP) and two have not. Students in both types of schools were taught genetics either through Geniverse, a virtual learning environment or Dragon genetics, a paper-pencil activity embedded in traditional instructional method. Results indicated that students in all schools increased their knowledge of genetics using either type of instructional approach. Students who were taught using Geniverse demonstrated an advantage for genetics knowledge although the effect was small. These increases were more pronounced in the schools that had been meeting the AYP goal. The other significant effect for Geniverse was that students in the technology-enhanced classrooms increased in science Self-Efficacy while students in the non-technology enhanced classrooms decreased. In addition, students from Non-AYP schools showed an improvement in Science and Technology Self-Efficacy; however the effects were small. The implications of these results for the future use of technology-enriched classrooms were discussed. Keywords: Technology-based instruction, Self-Efficacy, career goals and Adequate Yearly Progress (AYP).

An integrated in vitro and in vivo high throughput screen identifies treatment leads for ependymoma

PubMed Central

Atkinson, Jennifer M.; Shelat, Anang A.; Carcaboso, Angel Montero; Kranenburg, Tanya A.; Arnold, Alexander; Boulos, Nidal; Wright, Karen; Johnson, Robert A.; Poppleton, Helen; Mohankumar, Kumarasamypet M.; Feau, Clementine; Phoenix, Timothy; Gibson, Paul; Zhu, Liqin; Tong, Yiai; Eden, Chris; Ellison, David W.; Priebe, Waldemar; Koul, Dimpy; Yung, W. K. Alfred; Gajjar, Amar; Stewart, Clinton F.; Guy, R. Kip; Gilbertson, Richard J.

2011-01-01

Summary Using a mouse model of ependymoma—a chemoresistant brain tumor—we combined multi-cell high-throughput screening (HTS), kinome-wide binding assays, and in vivo efficacy studies, to identify potential treatments with predicted toxicity against neural stem cells (NSC). We identified kinases within the insulin signaling pathway and centrosome cycle as regulators of ependymoma cell proliferation, and their corresponding inhibitors as potential therapies. FDA approved drugs not currently used to treat ependymoma were also identified that posses selective toxicity against ependymoma cells relative to normal NSCs both in vitro and in vivo e.g., 5-fluoruracil. Our comprehensive approach advances understanding of the biology and treatment of ependymoma including the discovery of several treatment leads for immediate clinical translation. PMID:21907928

A multi-criteria decision making approach to identify a vaccine formulation.

PubMed

Dewé, Walthère; Durand, Christelle; Marion, Sandie; Oostvogels, Lidia; Devaster, Jeanne-Marie; Fourneau, Marc

2016-01-01

This article illustrates the use of a multi-criteria decision making approach, based on desirability functions, to identify an appropriate adjuvant composition for an influenza vaccine to be used in elderly. The proposed adjuvant system contained two main elements: monophosphoryl lipid and α-tocopherol with squalene in an oil/water emulsion. The objective was to elicit a stronger immune response while maintaining an acceptable reactogenicity and safety profile. The study design, the statistical models, the choice of the desirability functions, the computation of the overall desirability index, and the assessment of the robustness of the ranking are all detailed in this manuscript.

Interleukin-2: Old and New Approaches to Enhance Immune-Therapeutic Efficacy.

PubMed

Dhupkar, Pooja; Gordon, Nancy

2017-01-01

Interleukin-2 (IL-2) is a very well-known cytokine that has been studied for the past 35 years. It plays a major role in the growth and proliferation of many immune cells such NK and T cells. It is an important immunotherapy cytokine for the treatment of various diseases including cancer. Systemic delivery of IL-2 has shown clinical benefit in renal cell carcinoma and melanoma patients. However, its use has been limited by the numerous toxicities encountered with the systemic delivery. Intravenous IL-2 causes the well-known "capillary leak syndrome," or the leakage of fluid from the circulatory system to the interstitial space resulting in hypotension (low blood pressure), edema, and dyspnea that can lead to circulatory shock and eventually cardiopulmonary collapse and multiple organ failure. Due to the toxicities associated with systemic IL-2, an aerosolized delivery approach has been developed, which enables localized delivery and a higher local immune cell activation. Since proteins are absorbed via pulmonary lymphatics, after aerosol deposition in the lung, aerosol delivery provides a means to more specifically target IL-2 to the local immune system in the lungs with less systemic effects. Its benefits have extended to diseases other than cancer. Delivery of IL-2 via aerosol or as nebulized IL-2 liposomes has been previously shown to have less toxicity and higher efficacy against sarcoma lung metastases. Dogs with cancer provided a highly relevant means to determine biodistribution of aerosolized IL-2 and IL-2 liposomes. However, efficacy of single-agent IL-2 is limited. As in general, for most immune-therapies, its effect is more beneficial in the face of minimal residual disease. To overcome this limitation, combination therapies using aerosol IL-2 with adoptive transfer of T cells or NK cells have emerged.Using a human osteosarcoma (OS) mouse model, we have demonstrated the efficacy of single-agent aerosol IL-2 and combination therapy aerosol IL-2 and NK

Engineering Professional Development: Elementary Teachers' Self-efficacy and Sources of Self-efficacy

NASA Astrophysics Data System (ADS)

Webb, Donna Louise

Currently, STEM (science, technology, engineering, and mathematics) is a popular buzz word in P-12 education as it represents a means to advance American competitiveness in the global economy. Proponents of the engineering component of STEM advocate additional benefits in teaching engineering, such as its capacity to engage students in collaboration, and to apply critical thinking, systems thinking, negotiation, and communication skills to solve real-life contextual problems. Establishing a strong foundation of engineering knowledge at a young age will provide students with internal motivation as it taps into their curiosity toward how things work, and it also prepares them for secondary science courses. Successful STEM education is often constrained by elementary teachers' low perception of self-efficacy to teach science and engineering. Elementary teachers with low self-efficacy in science are more likely to spend less instructional time teaching science, which suggests that teachers with little to no training in engineering might avoid teaching this topic. Therefore, the purpose of this study was twofold: (a) to examine the effects of engineering professional development on elementary (K-6) teachers' content and pedagogical content knowledge (PCK) and perceptions of self-efficacy to teach engineering, and (b) to identify and explain sources influencing self-efficacy. Professional development was conducted in a metropolitan area in the Pacific Northwest. Results revealed that after the engineering professional development, teachers experienced statistically significant gains in content, PCK, and self-efficacy to teach engineering. Increases in self-efficacy were mainly attributed to mastery experiences and cultivation of a growth mindset by embracing the engineering design process.

Identifying bully victims: definitional versus behavioral approaches.

PubMed

Green, Jennifer Greif; Felix, Erika D; Sharkey, Jill D; Furlong, Michael J; Kras, Jennifer E

2013-06-01

Schools frequently assess bullying and the Olweus Bully/Victimization Questionnaire (BVQ; Olweus, 1996) is the most widely adopted tool for this purpose. The BVQ is a self-report survey that uses a definitional measurement method--describing "bullying" as involving repeated, intentional aggression in a relationship where there is an imbalance of power and then asking respondents to indicate how frequently they experienced this type of victimization. Few studies have examined BVQ validity and whether this definitional method truly identifies the repetition and power differential that distinguish bullying from other forms of peer victimization. This study examined the concurrent validity of the BVQ definitional question among 435 students reporting peer victimization. BVQ definitional responses were compared with responses to a behavioral measure that did not use the term "bullying" but, instead, included items that asked about its defining characteristics (repetition, intentionality, power imbalance). Concordance between the two approaches was moderate, with an area under the receiver operating curve of .72. BVQ responses were more strongly associated with students indicating repeated victimization and multiple forms of victimization, than with power imbalance in their relationship with the bully. Findings indicate that the BVQ is a valid measure of repeated victimization and a broad range of victimization experiences but may not detect the more subtle and complex power imbalances that distinguish bullying from other forms of peer victimization. PsycINFO Database Record (c) 2013 APA, all rights reserved.

Discovery learning with SAVI approach in geometry learning

NASA Astrophysics Data System (ADS)

Sahara, R.; Mardiyana; Saputro, D. R. S.

2018-05-01

Geometry is one branch of mathematics that an important role in learning mathematics in the schools. This research aims to find out about Discovery Learning with SAVI approach to achievement of learning geometry. This research was conducted at Junior High School in Surakarta city. Research data were obtained through test and questionnaire. Furthermore, the data was analyzed by using two-way Anova. The results showed that Discovery Learning with SAVI approach gives a positive influence on mathematics learning achievement. Discovery Learning with SAVI approach provides better mathematics learning outcomes than direct learning. In addition, students with high self-efficacy categories have better mathematics learning achievement than those with moderate and low self-efficacy categories, while student with moderate self-efficacy categories are better mathematics learning achievers than students with low self-efficacy categories. There is an interaction between Discovery Learning with SAVI approach and self-efficacy toward student's mathematics learning achievement. Therefore, Discovery Learning with SAVI approach can improve mathematics learning achievement.

Identifying biomarkers for asthma diagnosis using targeted metabolomics approaches.

PubMed

Checkley, William; Deza, Maria P; Klawitter, Jost; Romero, Karina M; Klawitter, Jelena; Pollard, Suzanne L; Wise, Robert A; Christians, Uwe; Hansel, Nadia N

2016-12-01

The diagnosis of asthma in children is challenging and relies on a combination of clinical factors and biomarkers including methacholine challenge, lung function, bronchodilator responsiveness, and presence of airway inflammation. No single test is diagnostic. We sought to identify a pattern of inflammatory biomarkers that was unique to asthma using a targeted metabolomics approach combined with data science methods. We conducted a nested case-control study of 100 children living in a peri-urban community in Lima, Peru. We defined cases as children with current asthma, and controls as children with no prior history of asthma and normal lung function. We further categorized enrollment following a factorial design to enroll equal numbers of children as either overweight or not. We obtained a fasting venous blood sample to characterize a comprehensive panel of targeted markers using a metabolomics approach based on high performance liquid chromatography-mass spectrometry. A statistical comparison of targeted metabolites between children with asthma (n = 50) and healthy controls (n = 49) revealed distinct patterns in relative concentrations of several metabolites: children with asthma had approximately 40-50% lower relative concentrations of ascorbic acid, 2-isopropylmalic acid, shikimate-3-phosphate, and 6-phospho-d-gluconate when compared to children without asthma, and 70% lower relative concentrations of reduced glutathione (all p < 0.001 after Bonferroni correction). Moreover, a combination of 2-isopropylmalic acid and betaine strongly discriminated between children with asthma (2-isopropylmalic acid ≤ 13 077 normalized counts/second) and controls (2-isopropylmalic acid > 13 077 normalized counts/second and betaine ≤ 16 47 121 normalized counts/second). By using a metabolomics approach applied to serum, we were able to discriminate between children with and without asthma by revealing different metabolic patterns. These results suggest that

Improving accuracy for identifying related PubMed queries by an integrated approach

PubMed Central

Lu, Zhiyong; Wilbur, W. John

2009-01-01

PubMed is the most widely used tool for searching biomedical literature online. As with many other online search tools, a user often types a series of multiple related queries before retrieving satisfactory results to fulfill a single information need. Meanwhile, it is also a common phenomenon to see a user type queries on unrelated topics in a single session. In order to study PubMed users’ search strategies, it is necessary to be able to automatically separate unrelated queries and group together related queries. Here, we report a novel approach combining both lexical and contextual analyses for segmenting PubMed query sessions and identifying related queries and compare its performance with the previous approach based solely on concept mapping. We experimented with our integrated approach on sample data consisting of 1,539 pairs of consecutive user queries in 351 user sessions. The prediction results of 1,396 pairs agreed with the gold-standard annotations, achieving an overall accuracy of 90.7%. This demonstrates that our approach is significantly better than the previously published method. By applying this approach to a one day query log of PubMed, we found that a significant proportion of information needs involved more than one PubMed query, and that most of the consecutive queries for the same information need are lexically related. Finally, the proposed PubMed distance is shown to be an accurate and meaningful measure for determining the contextual similarity between biological terms. The integrated approach can play a critical role in handling real-world PubMed query log data as is demonstrated in our experiments. PMID:19162232

An Evaluation of the Self-Efficacy Theory in Agricultural Education

ERIC Educational Resources Information Center

McKim, Aaron J.; Velez, Jonathan J.

2016-01-01

This research sought to evaluate the use of the self-efficacy theory in agricultural education. A total of 30 studies, published between 1997 and 2013 using self-efficacy as a theoretical foundation were compiled and analyzed. The findings of these studies were compared to expected outcomes identified by the self-efficacy theory, specifically the…

Social and cultural meanings of self-efficacy.

PubMed

Burke, Nancy J; Bird, Joyce A; Clark, Melissa A; Rakowski, William; Guerra, Claudia; Barker, Judith C; Pasick, Rena J

2009-10-01

This article describes the influences of social context on women's health behavior through illustration of the powerful influences of social capital (the benefits and challenges that accrue from participation in social networks and groups) on experiences and perceptions of self-efficacy. The authors conducted inductive interviews with Latino and Filipino academics and social service providers and with U.S.-born and immigrant Latinas and Filipinas to explore direct and indirect influences of social context on health behaviors such as mammography screening. Iterative thematic analysis identified themes (meanings of efficacy, spheres of efficacy, constraints on efficacy, sources of social capital, and differential access to and quality of social capital) that link the domain of social capital with the behavioral construct perceived self-efficacy. The authors conclude that social capital addresses aspects of social context absent in the current self-efficacy construct and that these aspects have important implications for scholars' and practitioners' understandings of health behavior and intervention development.

Social and Cultural Meanings of Self-Efficacy

PubMed Central

Burke, Nancy J.; Bird, Joyce A.; Clark, Melissa A.; Rakowski, William; Guerra, Claudia; Barker, Judith C.; Pasick, Rena J.

2010-01-01

This article describes the influences of social context on women’s health behavior through illustration of the powerful influences of social capital (the benefits and challenges that accrue from participation in social networks and groups) on experiences and perceptions of self-efficacy. The authors conducted inductive interviews with Latino and Filipino academics and social service providers and with U.S.-born and immigrant Latinas and Filipinas to explore direct and indirect influences of social context on health behaviors such as mammography screening. Iterative thematic analysis identified themes (meanings of efficacy, spheres of efficacy, constraints on efficacy, sources of social capital, and differential access to and quality of social capital) that link the domain of social capital with the behavioral construct perceived self-efficacy. The authors conclude that social capital addresses aspects of social context absent in the current self-efficacy construct and that these aspects have important implications for scholars’ and practitioners’ understandings of health behavior and intervention development. PMID:19805794

The efficacy of systemic therapy for childhood and adolescent externalizing disorders: a systematic review of 47 RCT.

PubMed

von Sydow, Kirsten; Retzlaff, Ruediger; Beher, Stefan; Haun, Markus W; Schweitzer, Jochen

2013-12-01

Systemic (family) therapy is a widely used psychotherapy approach. However, most systematic efficacy reviews have focused solely on "family-based treatment" rather than on the theoretic orientation "systemic therapy." We systematically review trials on the efficacy of systemic therapy for the treatment of childhood and adolescent externalizing disorders. All randomized (or matched) controlled trials (RCT) evaluating systemic/systems-oriented therapy in various forms (family, individual, group, multi-family group therapy) with child or adolescent index patients (0-17 years) suffering from mental disorders were identified by data base searches and cross-references. Inclusion criteria were as follows: index patient diagnosed with a DSM- or ICD-listed mental disorder, and trial published in any language up to the end of 2011. The RCTs were analyzed for their research methodology, interventions applied, and results (postintervention; follow-up). A total of 47 trials from the United States, Europe, and China, published in English, German, and Mandarin, were identified. A total of 42 of them showed systemic therapy to be efficacious for the treatment of attention deficit hyperactivity disorders, conduct disorders, and substance use disorders. Results were stable across follow-up periods of up to 14 years. There is a sound evidence base for the efficacy of systemic therapy for children and adolescents (and their families) diagnosed with externalizing disorders. © FPI, Inc.

Identifying chromatin readers using a SILAC-based histone peptide pull-down approach.

PubMed

Vermeulen, Michiel

2012-01-01

Posttranslational modifications (PTMs) on core histones regulate essential processes inside the nucleus such as transcription, replication, and DNA repair. An important function of histone PTMs is the recruitment or stabilization of chromatin-modifying proteins, which are also called chromatin "readers." We have developed a generic SILAC-based peptide pull-down approach to identify such readers for histone PTMs in an unbiased manner. In this chapter, the workflow behind this method will be presented in detail. Copyright © 2012 Elsevier Inc. All rights reserved.

University students' perceived self-efficacy in identifying suicidal warning signs and helping suicidal friends find campus intervention resources.

PubMed

King, Keith A; Vidourek, Rebecca A; Strader, Jennifer L

2008-10-01

Currently, suicide is the third leading cause of death among youth 18 to 24 years of age and the second leading cause of death on college campuses. A sample of students (N = 1,019) from three midwestern universities were surveyed regarding their perceived self-efficacy in identifying suicide warning signs and campus suicide intervention resources. The results indicated that 11% strongly believed they could recognize a friend at suicidal risk, while 17% strongly believed they could ask a friend if he or she was suicidal. Students who had received high school suicide prevention education and who had ever had a family member or friend express suicidal thoughts to them were those most confident in recognizing a friend at risk, asking a friend if he/she is suicidal, and helping a friend to see a counselor. Most (71%) were not aware of on-campus help resources. These findings underscore the importance of suicide prevention education throughout the high school and college years.

Identifying functional reorganization of spelling networks: an individual peak probability comparison approach

PubMed Central

Purcell, Jeremy J.; Rapp, Brenda

2013-01-01

Previous research has shown that damage to the neural substrates of orthographic processing can lead to functional reorganization during reading (Tsapkini et al., 2011); in this research we ask if the same is true for spelling. To examine the functional reorganization of spelling networks we present a novel three-stage Individual Peak Probability Comparison (IPPC) analysis approach for comparing the activation patterns obtained during fMRI of spelling in a single brain-damaged individual with dysgraphia to those obtained in a set of non-impaired control participants. The first analysis stage characterizes the convergence in activations across non-impaired control participants by applying a technique typically used for characterizing activations across studies: Activation Likelihood Estimate (ALE) (Turkeltaub et al., 2002). This method was used to identify locations that have a high likelihood of yielding activation peaks in the non-impaired participants. The second stage provides a characterization of the degree to which the brain-damaged individual's activations correspond to the group pattern identified in Stage 1. This involves performing a Mahalanobis distance statistics analysis (Tsapkini et al., 2011) that compares each of a control group's peak activation locations to the nearest peak generated by the brain-damaged individual. The third stage evaluates the extent to which the brain-damaged individual's peaks are atypical relative to the range of individual variation among the control participants. This IPPC analysis allows for a quantifiable, statistically sound method for comparing an individual's activation pattern to the patterns observed in a control group and, thus, provides a valuable tool for identifying functional reorganization in a brain-damaged individual with impaired spelling. Furthermore, this approach can be applied more generally to compare any individual's activation pattern with that of a set of other individuals. PMID:24399981

Commitment to philosophy, teacher efficacy, and burnout among teachers of children with autism.

PubMed

Jennett, Heather K; Harris, Sandra L; Mesibov, Gary B

2003-12-01

Variables that may be related to burnout in teachers of students with autism, including commitment to an underlying philosophy of a treatment and professional self-efficacy, were explored. Teachers using one of two different treatment approaches to autism participated: those using Applied Behavior Analysis (n = 34), and those using TEACCH (Treatment and Education of Autistic and Related Communication-Related Handicapped Children) (n = 30). Participants completed the Autism Treatment Philosophy Questionnaire, developed by the authors to differentiate between the philosophy of the approaches; Teacher Efficacy Scale, and Maslach Burnout Inventory. Results indicate a significant difference in philosophical commitment between the groups, but no differences in teaching efficacy or burnout. The relationship between a commitment to one's teaching approach and certain dimensions of teaching efficacy and burnout was found to be significant. Implications include the need for adequate training of teachers of students with autism.

Systems approaches in osteoarthritis: Identifying routes to novel diagnostic and therapeutic strategies.

PubMed

Mueller, Alan J; Peffers, Mandy J; Proctor, Carole J; Clegg, Peter D

2017-08-01

Systems orientated research offers the possibility of identifying novel therapeutic targets and relevant diagnostic markers for complex diseases such as osteoarthritis. This review demonstrates that the osteoarthritis research community has been slow to incorporate systems orientated approaches into research studies, although a number of key studies reveal novel insights into the regulatory mechanisms that contribute both to joint tissue homeostasis and its dysfunction. The review introduces both top-down and bottom-up approaches employed in the study of osteoarthritis. A holistic and multiscale approach, where clinical measurements may predict dysregulation and progression of joint degeneration, should be a key objective in future research. The review concludes with suggestions for further research and emerging trends not least of which is the coupled development of diagnostic tests and therapeutics as part of a concerted effort by the osteoarthritis research community to meet clinical needs. © 2017 The Authors. Journal of Orthopaedic Research Published by Wiley Periodicals, Inc. on behalf of Orthopaedic Research Society. J Orthop Res 35:1573-1588, 2017. © 2017 The Authors. Journal of Orthopaedic Research Published by Wiley Periodicals, Inc. on behalf of Orthopaedic Research Society.

Place-based education: An impetus for teacher efficacy

NASA Astrophysics Data System (ADS)

Coleman, Tamara Chase

This research investigated professional development in place-based (PB) methodology on the efficacy of science teachers. While teachers are expected to use best practices they do not always implement them due to a lack of efficacy in implementation. A professional development program (PD) was designed to increase confidence among teachers planning to incorporate PB methods. Place-based education (PBE) is recognized as a best-practice among professional educators. PBE includes the selection, design and engagement with science using the geographic place as the content. The literature reports that student learning and teacher efficacy will improve when teachers are prepared effectively in PB practices. This dissertation research examined the effects of PD in PB methodology and its influence on the efficacy of seven science teachers who participated in this research. An exploratory, qualitative research approach was used to study the characteristics of change among teachers. Qualitative information was collected about the teachers' confidence with PBE methodology and practices through interviews, in reflective journals and through observations of them working with students in PB settings. Changes in teacher efficacy were accompanied by their becoming more intentional with PBE, networking with experts and expressing a commitment to connect content with the community. The consistency of changes in efficacy among the seven teachers in the study was mixed. Three of the teachers became more confident in their approach to teaching using PB methods and reported the gain in confidence was influenced by the PBE professional development. Three teachers reported that the PD had little effect on their efficacy as teachers to implement PBE. These teachers cited complications from more critical issues in their careers such as time to prepare PBE lessons and meaningful participation in the PD. Those difficulties proved to be hindrances in developing efficacy in implementing PBE

Clustering approaches to identifying gene expression patterns from DNA microarray data.

PubMed

Do, Jin Hwan; Choi, Dong-Kug

2008-04-30

The analysis of microarray data is essential for large amounts of gene expression data. In this review we focus on clustering techniques. The biological rationale for this approach is the fact that many co-expressed genes are co-regulated, and identifying co-expressed genes could aid in functional annotation of novel genes, de novo identification of transcription factor binding sites and elucidation of complex biological pathways. Co-expressed genes are usually identified in microarray experiments by clustering techniques. There are many such methods, and the results obtained even for the same datasets may vary considerably depending on the algorithms and metrics for dissimilarity measures used, as well as on user-selectable parameters such as desired number of clusters and initial values. Therefore, biologists who want to interpret microarray data should be aware of the weakness and strengths of the clustering methods used. In this review, we survey the basic principles of clustering of DNA microarray data from crisp clustering algorithms such as hierarchical clustering, K-means and self-organizing maps, to complex clustering algorithms like fuzzy clustering.

Enhancing first-time parents' self-efficacy: A systematic review and meta-analysis of universal parent education interventions' efficacy.

PubMed

Liyana Amin, Nur Arina; Tam, Wilson W S; Shorey, Shefaly

2018-06-01

Poor adjustment during early parenthood often leads to low feelings of parental self-efficacy, which influences parents' behaviours towards their infants. The long-term consequences on infant development warrant the need for more attention on the efficacy of universal parent education interventions to empower parents and enhance their self-efficacy. To synthesise available evidence and explore the efficacy of universal parent education interventions on the parental self-efficacy of first-time parents. A systematic review and meta-analysis of randomised controlled trials. A literature search of 10 databases was conducted to identify randomised controlled trials from each database's point of inception to November 2016. Based on the inclusion criteria, 24,062 articles were screened for their titles and abstracts. Two hundred and eighty articles were identified for full-text screening. Risks of bias posed by the selected articles were assessed using Cochrane's Risk of Bias instrument. Meta-analyses were conducted using RevMan 5.3. The overall intervention effect was evaluated using z tests at p < 0.05, while I 2 and Cochran Q tests were used to measure heterogeneity. Ten randomised controlled trials were selected; eight trials were combined in meta-analyses and two trials were synthesised narratively. A meta-analysis revealed that universal parent education interventions significantly enhanced parental self-efficacy (p < 0.001) among first-time parents and these effects were also maintained over time (p < 0.001). The extent of improvement in parental self-efficacy was affected by the duration of the interventions. This review provides sufficient evidence to support the use of universal interventions to enhance new parents' self-efficacy. While intervention effects were sustained at the two-month follow-up, further research using randomised controlled trials and longitudinal studies are needed to determine long-term effects. The findings serve as an impetus

The efficacy of microarray screening for autosomal recessive retinitis pigmentosa in routine clinical practice

PubMed Central

van Huet, Ramon A. C.; Pierrache, Laurence H.M.; Meester-Smoor, Magda A.; Klaver, Caroline C.W.; van den Born, L. Ingeborgh; Hoyng, Carel B.; de Wijs, Ilse J.; Collin, Rob W. J.; Hoefsloot, Lies H.

2015-01-01

Purpose To determine the efficacy of multiple versions of a commercially available arrayed primer extension (APEX) microarray chip for autosomal recessive retinitis pigmentosa (arRP). Methods We included 250 probands suspected of arRP who were genetically analyzed with the APEX microarray between January 2008 and November 2013. The mode of inheritance had to be autosomal recessive according to the pedigree (including isolated cases). If the microarray identified a heterozygous mutation, we performed Sanger sequencing of exons and exon–intron boundaries of that specific gene. The efficacy of this microarray chip with the additional Sanger sequencing approach was determined by the percentage of patients that received a molecular diagnosis. We also collected data from genetic tests other than the APEX analysis for arRP to provide a detailed description of the molecular diagnoses in our study cohort. Results The APEX microarray chip for arRP identified the molecular diagnosis in 21 (8.5%) of the patients in our cohort. Additional Sanger sequencing yielded a second mutation in 17 patients (6.8%), thereby establishing the molecular diagnosis. In total, 38 patients (15.2%) received a molecular diagnosis after analysis using the microarray and additional Sanger sequencing approach. Further genetic analyses after a negative result of the arRP microarray (n = 107) resulted in a molecular diagnosis of arRP (n = 23), autosomal dominant RP (n = 5), X-linked RP (n = 2), and choroideremia (n = 1). Conclusions The efficacy of the commercially available APEX microarray chips for arRP appears to be low, most likely caused by the limitations of this technique and the genetic and allelic heterogeneity of RP. Diagnostic yields up to 40% have been reported for next-generation sequencing (NGS) techniques that, as expected, thereby outperform targeted APEX analysis. PMID:25999674

The Baby TALK Model: An Innovative Approach to Identifying High-Risk Children and Families

ERIC Educational Resources Information Center

Villalpando, Aimee Hilado; Leow, Christine; Hornstein, John

2012-01-01

This research report examines the Baby TALK model, an innovative early childhood intervention approach used to identify, recruit, and serve young children who are at-risk for developmental delays, mental health needs, and/or school failure, and their families. The report begins with a description of the model. This description is followed by an…

How can group-based multidisciplinary rehabilitation for patients with fibromyalgia influence patients' self-efficacy and ability to cope with their illness: a grounded theory approach.

PubMed

Rasmussen, Marianne Uggen; Amris, Kirstine; Rydahl-Hansen, Susan

2017-04-01

To describe how group-based multidisciplinary rehabilitation for patients with fibromyalgia can influence patients' self-efficacy and ability to cope with their illness. Multidisciplinary rehabilitation is recommended in the management of fibromyalgia. Self-efficacy is said to influence and predict adaptive coping behaviours and functioning. However, knowledge is lacking on how rehabilitation programmes may influence self-efficacy and ability to cope, from the patients' perspective. Grounded theory study of semi-structured focus group interviews. Participants (n = 17) were included in four focus groups that had completed a two-week multidisciplinary rehabilitation programme together. Interviews were conducted four weeks after each group had completed the programme. The analysis was conducted constant comparatively applying open, axial and selective coding. Categories (in italics) were derived from data in which the explanatory core category was identified: Learning to accept and live with pain as a life condition, and linked to three categories mutually influencing each other: Increased self-acceptance of living with the illness, experiencing acceptance from others and developing new coping strategies. Thus, patients benefitted from multidisciplinary rehabilitation with stronger self-efficacy and expectations to their future coping. However, limitations in the programme were identified, as the programme was short and intensive with no subsequent follow-up, and social welfare was not sufficiently addressed. Participants also found it difficult to maintain knowledge and were lacking individual sessions with the psychologist and had waited long to receive rehabilitation. Multidisciplinary rehabilitation may advantageously be offered to patients with fibromyalgia. However, earlier action with longer programmes, in which patients' social situation is addressed, comprising individual sessions with the psychologist, with multiple repetitions of the content and follow

Approach for Identifying Human Leukocyte Antigen (HLA)-DR Bound Peptides from Scarce Clinical Samples *

PubMed Central

Heyder, Tina; Kohler, Maxie; Tarasova, Nataliya K.; Haag, Sabrina; Rutishauser, Dorothea; Rivera, Natalia V.; Sandin, Charlotta; Mia, Sohel; Malmström, Vivianne; Wheelock, Åsa M.; Wahlström, Jan; Holmdahl, Rikard; Eklund, Anders; Zubarev, Roman A.; Grunewald, Johan; Ytterberg, A. Jimmy

2016-01-01

Immune-mediated diseases strongly associating with human leukocyte antigen (HLA) alleles are likely linked to specific antigens. These antigens are presented to T cells in the form of peptides bound to HLA molecules on antigen presenting cells, e.g. dendritic cells, macrophages or B cells. The identification of HLA-DR-bound peptides presents a valuable tool to investigate the human immunopeptidome. The lung is likely a key player in the activation of potentially auto-aggressive T cells prior to entering target tissues and inducing autoimmune disease. This makes the lung of exceptional interest and presents an ideal paradigm to study the human immunopeptidome and to identify antigenic peptides. Our previous investigation of HLA-DR peptide presentation in the lung required high numbers of cells (800 × 106 bronchoalveolar lavage (BAL) cells). Because BAL from healthy nonsmokers typically contains 10–15 × 106 cells, there is a need for a highly sensitive approach to study immunopeptides in the lungs of individual patients and controls. In this work, we analyzed the HLA-DR immunopeptidome in the lung by an optimized methodology to identify HLA-DR-bound peptides from low cell numbers. We used an Epstein-Barr Virus (EBV) immortalized B cell line and bronchoalveolar lavage (BAL) cells obtained from patients with sarcoidosis, an inflammatory T cell driven disease mainly occurring in the lung. Specifically, membrane complexes were isolated prior to immunoprecipitation, eluted peptides were identified by nanoLC-MS/MS and processed using the in-house developed ClusterMHCII software. With the optimized procedure we were able to identify peptides from 10 × 106 cells, which on average correspond to 10.9 peptides/million cells in EBV-B cells and 9.4 peptides/million cells in BAL cells. This work presents an optimized approach designed to identify HLA-DR-bound peptides from low numbers of cells, enabling the investigation of the BAL immunopeptidome from individual patients and

Investigating the Relationships between Approaches to Learning, Learner Identities and Academic Achievement in Higher Education

ERIC Educational Resources Information Center

Herrmann, K. J.; Bager-Elsborg, A.; McCune, V.

2017-01-01

This paper considers relationships between approaches to learning, learner identities, self-efficacy beliefs and academic achievement in higher education. In addition to already established survey instruments, a new scale, "subject area affinity," was developed. The scale explores the extent to which students identify with their area of…

Using a distribution and conservation status weighted hotspot approach to identify areas in need of conservation action to benefit Idaho bird species

USGS Publications Warehouse

Haines, Aaron M.; Leu, Matthias; Svancara, Leona K.; Wilson, Gina; Scott, J. Michael

2010-01-01

Identification of biodiversity hotspots (hereafter, hotspots) has become a common strategy to delineate important areas for wildlife conservation. However, the use of hotspots has not often incorporated important habitat types, ecosystem services, anthropogenic activity, or consistency in identifying important conservation areas. The purpose of this study was to identify hotspots to improve avian conservation efforts for Species of Greatest Conservation Need (SGCN) in the state of Idaho, United States. We evaluated multiple approaches to define hotspots and used a unique approach based on weighting species by their distribution size and conservation status to identify hotspot areas. All hotspot approaches identified bodies of water (Bear Lake, Grays Lake, and American Falls Reservoir) as important hotspots for Idaho avian SGCN, but we found that the weighted approach produced more congruent hotspot areas when compared to other hotspot approaches. To incorporate anthropogenic activity into hotspot analysis, we grouped species based on their sensitivity to specific human threats (i.e., urban development, agriculture, fire suppression, grazing, roads, and logging) and identified ecological sections within Idaho that may require specific conservation actions to address these human threats using the weighted approach. The Snake River Basalts and Overthrust Mountains ecological sections were important areas for potential implementation of conservation actions to conserve biodiversity. Our approach to identifying hotspots may be useful as part of a larger conservation strategy to aid land managers or local governments in applying conservation actions on the ground.

Efficacy and the Strength of Evidence of U.S. Alcohol Control Policies

PubMed Central

Nelson, Toben F.; Xuan, Ziming; Babor, Thomas; Brewer, Robert D.; Chaloupka, Frank J.; Gruenewald, Paul; Holder, Harold; Klitzner, Michael; Mosher, James; Ramirez, Rebecca L.; Reynolds, Robert; Toomey, Traci L.; Naimi, Timothy S.

2013-01-01

Background Public policy can limit alcohol consumption and its associated harms, but no direct comparison of the relative efficacy of alcohol control policies exists for the U.S. Purpose To identify alcohol control policies and develop quantitative ratings of their efficacy and strength of evidence. Methods In 2010, a Delphi panel of ten U.S. alcohol policy experts identified and rated the efficacy of alcohol control policies for reducing binge drinking and alcohol-impaired driving among both the general population and youth, and the strength of evidence informing the efficacy of each policy. The policies were nominated based on scientific evidence and potential for public health impact. Analysis was conducted in 2010–2012. Results Panelists identified and rated 47 policies. Policies limiting price received the highest ratings, with alcohol taxes receiving the highest ratings for all four outcomes. Highly rated policies for reducing binge drinking and alcohol-impaired driving in the general population were also highly rated among youth, although several policies were rated more highly for youth compared with the general population. Policy efficacy ratings for the general population and youth were positively correlated for reducing both binge drinking (r = 0.50) and alcohol-impaired driving (r = 0.45). The correlation between efficacy ratings for reducing binge drinking and alcohol-impaired driving was strong for the general population (r = 0.88) and for youth (r = 0.85). Efficacy ratings were positively correlated with strength-of-evidence ratings. Conclusions Comparative policy ratings can help characterize the alcohol policy environment, inform policy discussions, and identify future research needs. PMID:23790985

A behavior-analytic critique of Bandura's self-efficacy theory

PubMed Central

Biglan, Anthony

1987-01-01

A behavior-analytic critique of self-efficacy theory is presented. Self-efficacy theory asserts that efficacy expectations determine approach behavior and physiological arousal of phobics as well as numerous other clinically important behaviors. Evidence which is purported to support this assertion is reviewed. The evidence consists of correlations between self-efficacy ratings and other behaviors. Such response-response relationships do not unequivocally establish that one response causes another. A behavior-analytic alternative to self-efficacy theory explains these relationships in terms of environmental events. Correlations between self-efficacy rating behavior and other behavior may be due to the contingencies of reinforcement that establish a correspondence between such verbal predictions and the behavior to which they refer. Such a behavior-analytic account does not deny any of the empirical relationships presented in support of self-efficacy theory, but it points to environmental variables that could account for those relationships and that could be manipulated in the interest of developing more effective treatment procedures. PMID:22477956

A Bayesian approach to identifying structural nonlinearity using free-decay response: Application to damage detection in composites

USGS Publications Warehouse

Nichols, J.M.; Link, W.A.; Murphy, K.D.; Olson, C.C.

2010-01-01

This work discusses a Bayesian approach to approximating the distribution of parameters governing nonlinear structural systems. Specifically, we use a Markov Chain Monte Carlo method for sampling the posterior parameter distributions thus producing both point and interval estimates for parameters. The method is first used to identify both linear and nonlinear parameters in a multiple degree-of-freedom structural systems using free-decay vibrations. The approach is then applied to the problem of identifying the location, size, and depth of delamination in a model composite beam. The influence of additive Gaussian noise on the response data is explored with respect to the quality of the resulting parameter estimates.

Proteomics-based approach identified differentially expressed proteins with potential roles in endometrial carcinoma.

PubMed

Li, Zhengyu; Min, Wenjiao; Huang, Canhua; Bai, Shujun; Tang, Minghai; Zhao, Xia

2010-01-01

We used proteomic approaches to identify altered expressed proteins in endometrial carcinoma, with the aim of discovering potential biomarkers or therapeutic targets for endometrial carcinoma. The global proteins extracted from endometrial carcinoma and normal endometrial tissues were separated by 2-dimensional electrophoresis and analyzed with PDQuest (Bio-Rad, Hercules, Calif) software. The differentially expressed spots were identified by mass spectrometry and searched against NCBInr protein database. Those proteins with potential roles were confirmed by Western blotting and immunohistochemical assays. Ninety-nine proteins were identified by mass spectrometry, and a cluster diagram analysis indicated that these proteins were involved in metabolism, cell transformation, protein folding, translation and modification, proliferation and apoptosis, signal transduction, cytoskeleton, and so on. In confirmatory immunoblotting and immunohistochemical analyses, overexpressions of epidermal fatty acid-binding protein, calcyphosine, and cyclophilin A were also observed in endometrial carcinoma tissues, which were consistent with the proteomic results. Our results suggested that these identified proteins, including epidermal fatty acid-binding protein, calcyphosine, and cyclophilin A, might be of potential values in the studies of endometrial carcinogenesis or investigations of diagnostic biomarkers or treatment targets for endometrial carcinoma.

Xtalk: a path-based approach for identifying crosstalk between signaling pathways

PubMed Central

Tegge, Allison N.; Sharp, Nicholas; Murali, T. M.

2016-01-01

Motivation: Cells communicate with their environment via signal transduction pathways. On occasion, the activation of one pathway can produce an effect downstream of another pathway, a phenomenon known as crosstalk. Existing computational methods to discover such pathway pairs rely on simple overlap statistics. Results: We present Xtalk, a path-based approach for identifying pairs of pathways that may crosstalk. Xtalk computes the statistical significance of the average length of multiple short paths that connect receptors in one pathway to the transcription factors in another. By design, Xtalk reports the precise interactions and mechanisms that support the identified crosstalk. We applied Xtalk to signaling pathways in the KEGG and NCI-PID databases. We manually curated a gold standard set of 132 crosstalking pathway pairs and a set of 140 pairs that did not crosstalk, for which Xtalk achieved an area under the receiver operator characteristic curve of 0.65, a 12% improvement over the closest competing approach. The area under the receiver operator characteristic curve varied with the pathway, suggesting that crosstalk should be evaluated on a pathway-by-pathway level. We also analyzed an extended set of 658 pathway pairs in KEGG and to a set of more than 7000 pathway pairs in NCI-PID. For the top-ranking pairs, we found substantial support in the literature (81% for KEGG and 78% for NCI-PID). We provide examples of networks computed by Xtalk that accurately recovered known mechanisms of crosstalk. Availability and implementation: The XTALK software is available at http://bioinformatics.cs.vt.edu/~murali/software. Crosstalk networks are available at http://graphspace.org/graphs?tags=2015-bioinformatics-xtalk. Contact: ategge@vt.edu, murali@cs.vt.edu Supplementary information: Supplementary data are available at Bioinformatics online. PMID:26400040

Self-Regulated Learning: Examining the Baccalaureate Millennial Nursing Student's Approach.

PubMed

Robb, Meigan K

2016-01-01

Pre-licensure baccalaureate nursing programs are facing the demand to retain and graduate students with the skills needed for the complex health care environment. Nursing faculty are challenged to identify the best pedagogical methods for educating the current generation of students. The influence of student-centered approaches is documented in the literature. However, the effective use of these methods requires a collaborative partnership. The cognitive, self-regulated approaches used by millennial nursing students is not well understood. This article describes the findings of a study that examined the relationship between self-regulated approaches to learning, self-efficacy, independent study behaviors, and grade point average.

Efficacy of neck circumference to identify metabolic syndrome in 3-10 year-old European children: Results from IDEFICS study.

PubMed

Formisano, A; Bammann, K; Fraterman, A; Hadjigeorgiou, C; Herrmann, D; Iacoviello, L; Marild, S; Moreno, L A; Nagy, P; Van Den Bussche, K; Veidebaum, T; Lauria, F; Siani, A

2016-06-01

Several studies demonstrated that larger neck circumference (NC) in children and adolescents may help to identify obesity and cardio-metabolic abnormalities. We aimed to evaluate the correlation between NC and metabolic syndrome (MetS) risk factors and to determine the utility of this anthropometric index to identify MetS in European children. The present cross-sectional analysis includes 15,673 children (3-10 years) participating in the IDEFICS study. A continuous MetS (cMetS) score was calculated summing age and sex standardized z-scores of specific MetS risk factors. Receiver Operating Characteristic analysis, stratified by one-year age groups, was used to determine the ability of NC to identify children with unfavorable metabolic profile, corresponding to cMetS score ≥ 90th percentile. The areas under the curve values for NC associated with cMetS score values ≥ 90th percentile were significantly greater in girls than in boys (p < 0.001), except for 5 < 6 years group. For boys, optimal NC cut-off values ranged from 26.2 cm for the lowest age group (3 < 4 years), up to 30.9 cm for the highest age group (9 < 10 years). In girls, corresponding values varied from 24.9 cm to 29.6 cm. The study demonstrated the efficacy of NC in identifying European children with an unfavorable metabolic profile. Copyright © 2016 The Italian Society of Diabetology, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition, and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights reserved.

A geometric approach to identify cavities in particle systems

NASA Astrophysics Data System (ADS)

Voyiatzis, Evangelos; Böhm, Michael C.; Müller-Plathe, Florian

2015-11-01

The implementation of a geometric algorithm to identify cavities in particle systems in an open-source python program is presented. The algorithm makes use of the Delaunay space tessellation. The present python software is based on platform-independent tools, leading to a portable program. Its successful execution provides information concerning the accessible volume fraction of the system, the size and shape of the cavities and the group of atoms forming each of them. The program can be easily incorporated into the LAMMPS software. An advantage of the present algorithm is that no a priori assumption on the cavity shape has to be made. As an example, the cavity size and shape distributions in a polyethylene melt system are presented for three spherical probe particles. This paper serves also as an introductory manual to the script. It summarizes the algorithm, its implementation, the required user-defined parameters as well as the format of the input and output files. Additionally, we demonstrate possible applications of our approach and compare its capability with the ones of well documented cavity size estimators.

Mind over Matter: Contributing Factors to Self-Efficacy in Montessori Teachers

ERIC Educational Resources Information Center

Bhatia, Punum

2012-01-01

Interpreting Albert Bandura's term "self-efficacy" as the individual's belief in his own abilities to succeed in spite of the given circumstances, this study seeks to identify the influences which lead to self-efficacy in Montessori teachers. In order to evaluate perceptions of self-efficacy, 35 pre-service teachers in the…

The Impact of Achievement Goals on Cardiorespiratory Fitness: Does Self-Efficacy Make a Difference?

ERIC Educational Resources Information Center

Gao, Zan; Xiang, Ping; Lochbaum, Marc; Guan, Jianmin

2013-01-01

Purpose: The relationships among students' self-efficacy, 2 × 2 achievement goals (mastery-approach [MAp], mastery-avoidance [MAv], performance-approach [PAp], and performance-avoidance goals), and achievement performance remain largely unanswered. We tested a model of the mediating role of self-efficacy on the relationship between 2 × 2…

Using Bioinformatic Approaches to Identify Pathways Targeted by Human Leukemogens

PubMed Central

Thomas, Reuben; Phuong, Jimmy; McHale, Cliona M.; Zhang, Luoping

2012-01-01

We have applied bioinformatic approaches to identify pathways common to chemical leukemogens and to determine whether leukemogens could be distinguished from non-leukemogenic carcinogens. From all known and probable carcinogens classified by IARC and NTP, we identified 35 carcinogens that were associated with leukemia risk in human studies and 16 non-leukemogenic carcinogens. Using data on gene/protein targets available in the Comparative Toxicogenomics Database (CTD) for 29 of the leukemogens and 11 of the non-leukemogenic carcinogens, we analyzed for enrichment of all 250 human biochemical pathways in the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. The top pathways targeted by the leukemogens included metabolism of xenobiotics by cytochrome P450, glutathione metabolism, neurotrophin signaling pathway, apoptosis, MAPK signaling, Toll-like receptor signaling and various cancer pathways. The 29 leukemogens formed 18 distinct clusters comprising 1 to 3 chemicals that did not correlate with known mechanism of action or with structural similarity as determined by 2D Tanimoto coefficients in the PubChem database. Unsupervised clustering and one-class support vector machines, based on the pathway data, were unable to distinguish the 29 leukemogens from 11 non-leukemogenic known and probable IARC carcinogens. However, using two-class random forests to estimate leukemogen and non-leukemogen patterns, we estimated a 76% chance of distinguishing a random leukemogen/non-leukemogen pair from each other. PMID:22851955

Modelling Creativity: Identifying Key Components through a Corpus-Based Approach

PubMed Central

2016-01-01

Creativity is a complex, multi-faceted concept encompassing a variety of related aspects, abilities, properties and behaviours. If we wish to study creativity scientifically, then a tractable and well-articulated model of creativity is required. Such a model would be of great value to researchers investigating the nature of creativity and in particular, those concerned with the evaluation of creative practice. This paper describes a unique approach to developing a suitable model of how creative behaviour emerges that is based on the words people use to describe the concept. Using techniques from the field of statistical natural language processing, we identify a collection of fourteen key components of creativity through an analysis of a corpus of academic papers on the topic. Words are identified which appear significantly often in connection with discussions of the concept. Using a measure of lexical similarity to help cluster these words, a number of distinct themes emerge, which collectively contribute to a comprehensive and multi-perspective model of creativity. The components provide an ontology of creativity: a set of building blocks which can be used to model creative practice in a variety of domains. The components have been employed in two case studies to evaluate the creativity of computational systems and have proven useful in articulating achievements of this work and directions for further research. PMID:27706185

Modelling Creativity: Identifying Key Components through a Corpus-Based Approach.

PubMed

Jordanous, Anna; Keller, Bill

2016-01-01

Creativity is a complex, multi-faceted concept encompassing a variety of related aspects, abilities, properties and behaviours. If we wish to study creativity scientifically, then a tractable and well-articulated model of creativity is required. Such a model would be of great value to researchers investigating the nature of creativity and in particular, those concerned with the evaluation of creative practice. This paper describes a unique approach to developing a suitable model of how creative behaviour emerges that is based on the words people use to describe the concept. Using techniques from the field of statistical natural language processing, we identify a collection of fourteen key components of creativity through an analysis of a corpus of academic papers on the topic. Words are identified which appear significantly often in connection with discussions of the concept. Using a measure of lexical similarity to help cluster these words, a number of distinct themes emerge, which collectively contribute to a comprehensive and multi-perspective model of creativity. The components provide an ontology of creativity: a set of building blocks which can be used to model creative practice in a variety of domains. The components have been employed in two case studies to evaluate the creativity of computational systems and have proven useful in articulating achievements of this work and directions for further research.

Integrating modelling and phenotyping approaches to identify and screen complex traits - Illustration for transpiration efficiency in cereals.

PubMed

Chenu, K; van Oosterom, E J; McLean, G; Deifel, K S; Fletcher, A; Geetika, G; Tirfessa, A; Mace, E S; Jordan, D R; Sulman, R; Hammer, G L

2018-02-21

Following advances in genetics, genomics, and phenotyping, trait selection in breeding is limited by our ability to understand interactions within the plants and with their environments, and to target traits of most relevance for the target population of environments. We propose an integrated approach that combines insights from crop modelling, physiology, genetics, and breeding to identify traits valuable for yield gain in the target population of environments, develop relevant high-throughput phenotyping platforms, and identify genetic controls and their values in production environments. This paper uses transpiration efficiency (biomass produced per unit of water used) as an example of a complex trait of interest to illustrate how the approach can guide modelling, phenotyping, and selection in a breeding program. We believe that this approach, by integrating insights from diverse disciplines, can increase the resource use efficiency of breeding programs for improving yield gains in target populations of environments.

A Multiomics Approach to Identify Genes Associated with Childhood Asthma Risk and Morbidity.

PubMed

Forno, Erick; Wang, Ting; Yan, Qi; Brehm, John; Acosta-Perez, Edna; Colon-Semidey, Angel; Alvarez, Maria; Boutaoui, Nadia; Cloutier, Michelle M; Alcorn, John F; Canino, Glorisa; Chen, Wei; Celedón, Juan C

2017-10-01

Childhood asthma is a complex disease. In this study, we aim to identify genes associated with childhood asthma through a multiomics "vertical" approach that integrates multiple analytical steps using linear and logistic regression models. In a case-control study of childhood asthma in Puerto Ricans (n = 1,127), we used adjusted linear or logistic regression models to evaluate associations between several analytical steps of omics data, including genome-wide (GW) genotype data, GW methylation, GW expression profiling, cytokine levels, asthma-intermediate phenotypes, and asthma status. At each point, only the top genes/single-nucleotide polymorphisms/probes/cytokines were carried forward for subsequent analysis. In step 1, asthma modified the gene expression-protein level association for 1,645 genes; pathway analysis showed an enrichment of these genes in the cytokine signaling system (n = 269 genes). In steps 2-3, expression levels of 40 genes were associated with intermediate phenotypes (asthma onset age, forced expiratory volume in 1 second, exacerbations, eosinophil counts, and skin test reactivity); of those, methylation of seven genes was also associated with asthma. Of these seven candidate genes, IL5RA was also significant in analytical steps 4-8. We then measured plasma IL-5 receptor α levels, which were associated with asthma age of onset and moderate-severe exacerbations. In addition, in silico database analysis showed that several of our identified IL5RA single-nucleotide polymorphisms are associated with transcription factors related to asthma and atopy. This approach integrates several analytical steps and is able to identify biologically relevant asthma-related genes, such as IL5RA. It differs from other methods that rely on complex statistical models with various assumptions.

Dynamic enhancement of drug product labels to support drug safety, efficacy, and effectiveness.

PubMed

Boyce, Richard D; Horn, John R; Hassanzadeh, Oktie; Waard, Anita de; Schneider, Jodi; Luciano, Joanne S; Rastegar-Mojarad, Majid; Liakata, Maria

2013-01-26

Out-of-date or incomplete drug product labeling information may increase the risk of otherwise preventable adverse drug events. In recognition of these concerns, the United States Federal Drug Administration (FDA) requires drug product labels to include specific information. Unfortunately, several studies have found that drug product labeling fails to keep current with the scientific literature. We present a novel approach to addressing this issue. The primary goal of this novel approach is to better meet the information needs of persons who consult the drug product label for information on a drug's efficacy, effectiveness, and safety. Using FDA product label regulations as a guide, the approach links drug claims present in drug information sources available on the Semantic Web with specific product label sections. Here we report on pilot work that establishes the baseline performance characteristics of a proof-of-concept system implementing the novel approach. Claims from three drug information sources were linked to the Clinical Studies, Drug Interactions, and Clinical Pharmacology sections of the labels for drug products that contain one of 29 psychotropic drugs. The resulting Linked Data set maps 409 efficacy/effectiveness study results, 784 drug-drug interactions, and 112 metabolic pathway assertions derived from three clinically-oriented drug information sources (ClinicalTrials.gov, the National Drug File - Reference Terminology, and the Drug Interaction Knowledge Base) to the sections of 1,102 product labels. Proof-of-concept web pages were created for all 1,102 drug product labels that demonstrate one possible approach to presenting information that dynamically enhances drug product labeling. We found that approximately one in five efficacy/effectiveness claims were relevant to the Clinical Studies section of a psychotropic drug product, with most relevant claims providing new information. We also identified several cases where all of the drug

Dynamic enhancement of drug product labels to support drug safety, efficacy, and effectiveness

PubMed Central

2013-01-01

Out-of-date or incomplete drug product labeling information may increase the risk of otherwise preventable adverse drug events. In recognition of these concerns, the United States Federal Drug Administration (FDA) requires drug product labels to include specific information. Unfortunately, several studies have found that drug product labeling fails to keep current with the scientific literature. We present a novel approach to addressing this issue. The primary goal of this novel approach is to better meet the information needs of persons who consult the drug product label for information on a drug’s efficacy, effectiveness, and safety. Using FDA product label regulations as a guide, the approach links drug claims present in drug information sources available on the Semantic Web with specific product label sections. Here we report on pilot work that establishes the baseline performance characteristics of a proof-of-concept system implementing the novel approach. Claims from three drug information sources were linked to the Clinical Studies, Drug Interactions, and Clinical Pharmacology sections of the labels for drug products that contain one of 29 psychotropic drugs. The resulting Linked Data set maps 409 efficacy/effectiveness study results, 784 drug-drug interactions, and 112 metabolic pathway assertions derived from three clinically-oriented drug information sources (ClinicalTrials.gov, the National Drug File – Reference Terminology, and the Drug Interaction Knowledge Base) to the sections of 1,102 product labels. Proof-of-concept web pages were created for all 1,102 drug product labels that demonstrate one possible approach to presenting information that dynamically enhances drug product labeling. We found that approximately one in five efficacy/effectiveness claims were relevant to the Clinical Studies section of a psychotropic drug product, with most relevant claims providing new information. We also identified several cases where all of the drug

From Efficacy to Effectiveness and Beyond: What Next for Brief Interventions in Primary Care?

PubMed Central

O’Donnell, Amy; Wallace, Paul; Kaner, Eileen

2014-01-01

Background: Robust evidence supports the effectiveness of screening and brief alcohol interventions in primary healthcare. However, lack of understanding about their “active ingredients” and concerns over the extent to which current approaches remain faithful to their original theoretical roots has led some to demand a cautious approach to future roll-out pending further research. Against this background, this paper provides a timely overview of the development of the brief alcohol intervention evidence base to assess the extent to which it has achieved the four key levels of intervention research: efficacy, effectiveness, implementation, and demonstration. Methods: Narrative overview based on (1) the results of a review of systematic reviews and meta-analyses of the effectiveness of brief alcohol intervention in primary healthcare and (2) synthesis of the findings of key additional primary studies on the improvement and evaluation of brief alcohol intervention implementation in routine primary healthcare. Results: The brief intervention field seems to constitute an almost perfect example of the evaluation of a complex intervention. Early evaluations of screening and brief intervention approaches included more tightly controlled efficacy trials and have been followed by more pragmatic trials of effectiveness in routine clinical practice. Most recently, attention has shifted to dissemination, implementation, and wider-scale roll-out. However, delivery in routine primary health remains inconsistent, with an identified knowledge gap around how to successfully embed brief alcohol intervention approaches in mainstream care, and as yet unanswered questions concerning what specific intervention component prompt the positive changes in alcohol consumption. Conclusion: Both the efficacy and effectiveness of brief alcohol interventions have been comprehensively demonstrated, and intervention effects seem replicable and stable over time, and across different study

Evaluating High School Students' Anxiety and Self-Efficacy towards Biology

ERIC Educational Resources Information Center

Çimen, Osman; Yilmaz, Mehmet

2015-01-01

Anxiety and self-efficacy are among the factors that impact students' performance in biology. The current study aims to investigate high school students' perception of biology anxiety and self-efficacy, in relation to gender, grade level, interest in biology, negative experience associated with biology classes, and teachers' approaches in the…

Teachers' Sense of Efficacy: A Self- or Norm-Referenced Construct?

ERIC Educational Resources Information Center

Ashton, Patricia; And Others

1984-01-01

Two approaches to the measurement of teacher efficacy were investigated to determine whether teachers' sense of self-efficacy is a self-referenced or norm-referenced construct. Two forms of an instrument consisting of 25 teaching problem situations were developed: one required self-referenced responses, while the other required norm-referenced…

Acculturation and bicultural efficacy effects on Chinese American immigrants' diabetes and health management.

PubMed

Chun, Kevin M; Kwan, Christine M L; Strycker, Lisa A; Chesla, Catherine A

2016-10-01

The primary goal of this study was to examine effects of bicultural efficacy, or perceived confidence in dealing with bicultural acculturation stressors, on type 2 diabetes management and health for first-generation, Cantonese-speaking, Chinese American immigrants (N = 162) recruited for a larger community-based diabetes intervention study (Chesla et al. in Res Nurs Health 36(4):359-372, 2013. doi: 10.1002/nur.21543 ). The current study also tested whether a new Bicultural Efficacy in Health Management (BEFF-HM) scale is a more robust predictor of diabetes and health outcomes than proxy (years in the U.S.) and general acculturation measures. Hierarchical regression analyses of cross-sectional data revealed that high BEFF-HM was significantly related to positive outcomes on five of six diabetes and health measures as hypothesized after accounting for participant characteristics, proxy and general acculturation measures, and social support. Proxy and general acculturation measures failed to predict any study outcome supporting our secondary hypothesis that BEFF-HM is a better predictor of Chinese American immigrants' diabetes and health management. An immigrant-focused research approach advances understanding of acculturation and bicultural efficacy effects on health by identifying key acculturation domains for study.

Acculturation and Bicultural Efficacy Effects on Chinese American Immigrants’ Diabetes and Health Management

PubMed Central

Chun, Kevin M.; Kwan, Christine M. L.; Strycker, Lisa A.; Chesla, Catherine A.

2016-01-01

The primary goal of this study was to examine effects of bicultural efficacy, or perceived confidence in dealing with bicultural acculturation stressors, on type 2 diabetes management and health for first-generation, Cantonese-speaking, Chinese American immigrants (N=162) recruited for a larger community-based diabetes intervention study (Chesla et al., 2013). The current study also tested whether a new Bicultural Efficacy in Health Management (BEFF-HM) scale is a more robust predictor of diabetes and health outcomes than proxy (years in the U.S.) and general acculturation measures. Hierarchical regression analyses of cross-sectional data revealed that high BEFF-HM was significantly related to positive outcomes on five of six diabetes and health measures as hypothesized after accounting for participant characteristics, proxy and general acculturation measures, and social support. Proxy and general acculturation measures failed to predict any study outcome supporting our secondary hypothesis that BEFF-HM is a better predictor of Chinese American immigrants’ diabetes and health management. An immigrant-focused research approach advances understanding of acculturation and bicultural efficacy effects on health by identifying key acculturation domains for study. PMID:27412776

Technology Integration Preparedness and Its Influence on Teacher-Efficacy

ERIC Educational Resources Information Center

Moore-Hayes, Coleen

2011-01-01

Recent inquiry has identified the establishment of positive self-efficacy beliefs as an important component in the overall process of successfully preparing new teachers for the classroom. Similarly, in-service teachers who reported high levels of efficacy for teaching confirmed feeling confident in their ability to design and implement enriching…

Predictors of Self-Efficacy for HIV Prevention Among Hispanic Women in South Florida

PubMed Central

Villegas, Natalia; Cianelli, Rosina; Gonzalez-Guarda, Rosa; Kaelber, Lorena; Ferrer, Lilian; Peragallo, Nilda

2012-01-01

Self-efficacy is a critical element for HIV prevention, however little is known about the predictors of self-efficacy for HIV prevention among Hispanic women. In this cross-sectional study we assessed if age, living with a partner, employment status, HIV knowledge, self-esteem, and intimate partner violence (IPV) predicted self-efficacy for HIV prevention in 548 Hispanic women in South Florida who participated in a randomized controlled trial (SEPA). The majority of Hispanic women reported high levels of self-efficacy for HIV prevention. Women who were older, living with a partner, with less HIV knowledge, and a history of IPV reported significantly lower levels of self-efficacy for HIV prevention. HIV knowledge was the most important predictor of self-efficacy for HIV prevention. Employment was not a significant predictor of self-efficacy for HIV prevention. Predictors identified in the study can be used to identify high-risk Hispanic women who are in need of HIV prevention interventions. PMID:22795758

Predictors of breast feeding self-efficacy among Chinese mothers: a cross-sectional questionnaire survey.

PubMed

Zhu, Jiemin; Chan, Wai Chi Sally; Zhou, Xiuzhu; Ye, Benlan; He, Hong-Gu

2014-06-01

to examine breast feeding self-efficacy and identify its predictors among expectant Chinese mothers in the antenatal period. a cross-sectional descriptive questionnaire survey was conducted in the antenatal clinics of three university hospitals in China between September and December 2011. expectant mothers planning to breast feed, and who were at least 18 years of age, expecting a single, healthy, full-term baby, and competent in Mandarin (n=201). a socio-demographic data sheet, the Chinese version of the Breastfeeding Self-Efficacy Scale, and the Perceived Social Support Scale. the expectant Chinese mothers reported moderate levels of breast feeding self-efficacy. Expectant mothers who had had previous experience in breast feeding, who had watched other mothers breast feed their infants, or who had made the decision to breast feed earlier reported higher breast feeding self-efficacy. Expectant mothers' perceived social support, perceived attitude of significant others, including husband, mothers, and friends, towards breast feeding are correlated with breast feeding self-efficacy. The best-fit regression analysis revealed five variables that explained 34% of the variance in breast feeding self-efficacy in the antenatal period: perceived social support, previous experience of breast feeding, previous experience of watching others breast feed, timing of maternal decision to breast feed, and perceived husband's attitude towards breast feeding. this study highlighted the importance of improving Chinese mothers' breast feeding self-efficacy by considering the main predictors found in this study. health care professionals could develop strategies to promote breast feeding self-efficacy, such as providing opportunities for expectant mothers to learn from others' successful experience, adopt a family-centred approach in the provision of breast feeding education, provide breast feeding education at the beginning of pregnancy or even earlier, and rally comprehensive social

One-to-one comparison of sunscreen efficacy, aesthetics and potential nanotoxicity

NASA Astrophysics Data System (ADS)

Barnard, Amanda S.

2010-04-01

Numerous reports have described the superior properties of nanoparticles and their diverse range of applications. Issues of toxicity, workplace safety and environmental impact have also been a concern. Here we show a theoretical comparison of how the size of titanium dioxide nanoparticles and their concentration in sunscreens can affect efficacy, aesthetics and potential toxicity from free radical production. The simulation results reveal that, unless very small nanoparticles can be shown to be safe, there is no combination of particle size and concentration that will deliver optimal performance in terms of sun protection and aesthetics. Such a theoretical method complements well the experimental approach for identifying these characteristics.

A quantitative approach to assessing the efficacy of occupant protection programs: A case study from Montana.

PubMed

Manlove, Kezia; Stanley, Laura; Peck, Alyssa

2015-10-01

Quantitative evaluation of vehicle occupant protection programs is critical for ensuring efficient government resource allocation, but few methods exist for conducting evaluation across multiple programs simultaneously. Here we present an analysis of occupant protection efficacy in the state of Montana. This approach relies on seat belt compliance rates as measured by the National Occupant Protection Usage Survey (NOPUS). A hierarchical logistic regression model is used to estimate the impacts of four Montana Department of Transportation (MDT)-funded occupant protection programs used in the state of Montana, following adjustment for a suite of potential confounders. Activity from two programs, Buckle Up coalitions and media campaigns, are associated with increased seat belt use in Montana, whereas the impact of another program, Selective Traffic Enforcement, is potentially masked by other program activity. A final program, Driver's Education, is not associated with any shift in seat belt use. This method allows for a preliminary quantitative estimation of program impacts without requiring states to obtain any new seat belt use data. This approach provides states a preliminary look at program impacts, and a means for carefully planning future program allocation and investigation. Copyright © 2015 Elsevier Ltd. All rights reserved.

Role of Self-Directed Learning in Communication Competence and Self-Efficacy.

PubMed

Song, Youngshin; Yun, Soon Young; Kim, Sun-Ae; Ahn, Eun-Kyong; Jung, Mi Sook

2015-10-01

Although effective self-directed learning (SDL) has been shown to improve clinical performance, little is known about its role between communication competence and communication self-efficacy in nursing students. This study aimed to identify whether SDL mediates the relationship between communication competence and communication self-efficacy. A cross-sectional survey was conducted with a sample of 213 nursing students taking a basic fundamentals of nursing course. A path diagram, using structural equation modeling, was used to estimate the direct and indirect effects of communication competence on communication self-efficacy, controlling for SDL as a mediator. A structural equation model confirmed direct and indirect effects of communication competence on communication self-efficacy when SDL was controlled as a mediator. An appropriate fit to the data was identified in this mediation model of SDL. For enhancing self-efficacy regarding communication skill, the specified SDL program based on the level of communication competence will yield more effective results. Copyright 2015, SLACK Incorporated.

Promoting self-management in diabetes: efficacy of a collaborative care approach.

PubMed

Sieber, William; Newsome, Alita; Lillie, Dustin

2012-12-01

Diabetes is a leading cause of death and is estimated to cost the United States 90 billion dollars annually. Increasing patient self-management skills has been shown to improve outcomes in patients with Type II diabetes. Promotion of shared decision-making between patient and provider is a core element of collaborative care and is especially well suited for increasing patient self-management. Research trials to date have been limited in demonstrating how self-management promotion can be fully integrated into primary care practices. Demonstration of the impact of this approach is needed. This study involves 22 randomly assigned physicians across three family medicine clinics to either provide usual care or work with a part-time collaborative care therapist in their clinic serving as an outreach health coach for their diabetic patients. Each outreach health coach met with each physician in the intervention group to identify patients most in need of intervention, sent identified patients a video on diabetes management, and called to encourage video viewing and discuss any patient-perceived barriers to self-management. Initial markers of patient activation in self-management, patients' video-viewing behavior, and health care encounters in the subsequent 6 months were compared between groups. Results showed that patients targeted by an outreach health coach were more likely to view the video, be seen by their primary care physician (PCP) within 6 months, and have disease-relevant laboratory tests performed than patients receiving usual care from their PCP (p < .05). This approach, linking PCPs with collaborative care staff, is viewed as expanding the engagement of PCPs with the collaborative team for superior patient health outcomes.

An integrated approach for identifying priority contaminant in ...

EPA Pesticide Factsheets

Environmental assessment of complex mixtures typically requires integration of chemical and biological measurements. This study demonstrates the use of a combination of instrumental chemical analyses, effects-based monitoring, and bio-effects prediction approaches to help identify potential hazards and priority contaminants in two Great Lakes Areas of Concern (AOCs), the Lower Green Bay/Fox River located near Green Bay, WI, USA and the Milwaukee River Estuary, located near Milwaukee, WI, USA. Fathead minnows were caged at four sites within each AOC (eight sites total). Following 4 d of in situ exposure, tissues and biofluids were sampled and used for targeted biological effects analyses. Additionally, 4 d composite water samples were collected concurrently at each caged fish site and analyzed for 134 analytes as well as evaluated for total estrogenic and androgenic activity using cell-based bioassays. Of the analytes examined, 75 were detected in composite samples from at least one site. Based on multiple analyses, one site in the East River and another site near a paper mill discharge from lower Green Bay/Fox River AOC, were prioritized due to their estrogenic and androgenic acitvity, respectively. The water samples from other sites generally did not exhibit significant estrogenic or androgenic activity, nor was there evidence for endocrine disruption in the fish exposed at these sites as indicated the the lack of alterations in ex vivo steroid production, c

Design and validation of a standards-based science teacher efficacy instrument

NASA Astrophysics Data System (ADS)

Kerr, Patricia Reda

National standards for K--12 science education address all aspects of science education, with their main emphasis on curriculum---both science subject matter and the process involved in doing science. Standards for science teacher education programs have been developing along a parallel plane, as is self-efficacy research involving classroom teachers. Generally, studies about efficacy have been dichotomous---basing the theoretical underpinnings on the work of either Rotter's Locus of Control theory or on Bandura's explanations of efficacy beliefs and outcome expectancy. This study brings all three threads together---K--12 science standards, teacher education standards, and efficacy beliefs---in an instrument designed to measure science teacher efficacy with items based on identified critical attributes of standards-based science teaching and learning. Based on Bandura's explanation of efficacy being task-specific and having outcome expectancy, a developmental, systematic progression from standards-based strategies and activities to tasks to critical attributes was used to craft items for a standards-based science teacher efficacy instrument. Demographic questions related to school characteristics, teacher characteristics, preservice background, science teaching experience, and post-certification professional development were included in the instrument. The instrument was completed by 102 middle level science teachers, with complete data for 87 teachers. A principal components analysis of the science teachers' responses to the instrument resulted in two components: Standards-Based Science Teacher Efficacy: Beliefs About Teaching (BAT, reliability = .92) and Standards-Based Science Teacher Efficacy: Beliefs About Student Achievement (BASA, reliability = .82). Variables that were characteristic of professional development activities, science content preparation, and school environment were identified as members of the sets of variables predicting the BAT and BASA

The Self-Efficacy of Special Education Directors in the State of Texas

ERIC Educational Resources Information Center

Hubbard, Catana C.

2009-01-01

The purpose of this study was to examine the self-efficacy of special education directors serving in public schools in the state of Texas. Within the review of literature the following key components were identified: special education administration, self-efficacy--theoretical perspective and self-efficacy and outcomes-based research. A…

A review of the efficacy of transcranial magnetic stimulation (TMS) treatment for depression, and current and future strategies to optimize efficacy.

PubMed

Loo, Colleen K; Mitchell, Philip B

2005-11-01

There is a growing interest in extending the use of repetitive transcranial magnetic stimulation (rTMS) beyond research centres to the widespread clinical treatment of depression. Thus it is timely to critically review the evidence for the efficacy of rTMS as an antidepressant treatment. Factors relevant to the efficacy of rTMS are discussed along with the implications of these for the further optimization of rTMS. Clinical trials of the efficacy of rTMS in depressed subjects are summarized and reviewed, focusing mainly on sham-controlled studies and meta-analyses published to date. There is a fairly consistent statistical evidence for the superiority of rTMS over a sham control, though the degree of clinical improvement is not large. However, this data is derived mainly from two-week comparisons of rTMS versus sham, and evidence suggests greater efficacy with longer treatment courses. Studies so far have also varied greatly in approaches to rTMS stimulation (with respect to stimulation site, stimulus parameters etc) with little empirical evidence to inform on the relative merits of these approaches. Only studies published in English were reviewed. Many of the studies in the literature had small sample sizes and different methodologies, making comparisons between studies difficult. Current published studies and meta-analyses have evaluated the efficacy of rTMS as given in treatment paradigms that are almost certainly suboptimal (e.g of two weeks' duration). While the data nevertheless supports positive outcomes for rTMS, there is much scope for the further refinement and development of rTMS as an antidepressant treatment. Ongoing research is critical for optimizing the efficacy of rTMS.

Self-efficacy as a mediator of children's achievement motivation and in-class physical activity.

PubMed

Gao, Zan; Lochbaum, Marc; Podlog, Leslie

2011-12-01

The present study was designed to examine the mediating effect of self-efficacy on relations of middle school students' four achievement goals with their perceptions of two motivational climates and in-class physical activity in physical education. The four achievement goals (mastery-approach, mastery-avoidance, performance-approach, and performance-avoidance), perceptions of the motivational climate (mastery- and performance-involving climates), and self-efficacy were measured in a sample of 194 students (93 boys, 101 girls) in a public school. Students' in-class physical activity was assessed using Actical Accelerometers. A series of multiple-regression analyses supported the mediating effect of self-efficacy on the relationships among students' mastery-approach goal, perceived mastery-involving climate, and physical activity.

The efficacy of systemic therapy for internalizing and other disorders of childhood and adolescence: a systematic review of 38 randomized trials.

PubMed

Retzlaff, Ruediger; von Sydow, Kirsten; Beher, Stefan; Haun, Markus W; Schweitzer, Jochen

2013-12-01

Systemic therapy (ST) is one of the most widely applied psychotherapeutic approaches in the treatment of children and adolescents, yet few systematic reviews exist on the efficacy of ST with this age group. Parallel to a similar study on adults, a systematic review was performed to analyze the efficacy of ST in the treatment of children and adolescents. All randomized or matched controlled trials (RCT) evaluating ST in any setting with child and adolescent index patients were identified by database searches and cross-references, as well as in existing meta-analyses and reviews. Inclusion criteria were: index patient diagnosed with a DSM-IV or ICD-10 listed psychological disorder, or suffering from other clinically relevant conditions, and trial published by December 2011. Studies were analyzed according to their sample, research methodology, interventions applied, and results at end-of-treatment and at follow-up. This article presents findings for internalizing and mixed disorders. Thirty-eight trials were identified, with 33 showing ST to be efficacious for the treatment of internalizing disorders (including mood disorders, eating disorders, and psychological factors in somatic illness). There is some evidence for ST being also efficacious in mixed disorders, anxiety disorders, Asperger disorder, and in cases of child neglect. Results were stable across follow-up periods of up to 5 years. Trials on the efficacy of ST for externalizing disorders are presented in a second article. There is a sound evidence base for the efficacy of ST as a treatment for internalizing disorders of child and adolescent patients. © FPI, Inc.

Youth physical activity self-efficacy: a concept analysis.

PubMed

Voskuil, Vicki R; Robbins, Lorraine B

2015-09-01

To report an analysis of the concept of youth physical activity self-efficacy. Physical activity self-efficacy is a concept that has been frequently examined as a key variable in research aimed at increasing physical activity among youth. Different conceptual definitions and empirical measures indicate the need for concept analysis to advance knowledge of the concept. Rodger's evolutionary method of concept analysis was used to collect and analyse the data. Social cognitive theory guided the analysis. The PubMed, Cumulative Index of Nursing and Allied Health Literature, PsychInfo, Educational Resources Information Center and Sociological Abstracts databases were searched for publications from 1990-2013. Search terms included self-efficacy, physical activity, youth, children, adolescent and teen. A total of 276 articles were identified. Fifty-five articles meeting inclusion criteria were included in the review. Data were analysed with particular focus on the attributes, antecedents and consequences of the concept. Defining attributes of physical activity self-efficacy were identified as personal cognition/perception, self-appraisal process, related action, power to choose physical activity, dynamic state and bi-dimensional nature. Antecedents and consequences were consistent with social cognitive theory. Youth physical activity self-efficacy is defined as a youth's belief in his/her capability to participate in physical activity and to choose physical activity despite existing barriers. This concept analysis provided an in-depth analysis and clarification of youth physical activity self-efficacy. Future research should be aimed at establishing consistency in conceptual definitions and empirical measurement to further develop the concept across disciplines. © 2015 John Wiley & Sons Ltd.

A Professional Development Program Evaluation: Teacher Efficacy, Learning, and Transfer

ERIC Educational Resources Information Center

Tomonari, Dana Anne Miyuki

2012-01-01

Although professional development is an important means of improving both teachers' skills and student outcomes, there is a dearth of high quality empirical research on the efficacy of such efforts. The efficacy of the Challenging Behavior Process was assessed using a mixed method approach which included the use of pre-, post-, and follow-up…

The relative efficacy of connectivity guided and symptom based EEG biofeedback for autistic disorders.

PubMed

Coben, Robert; Myers, Thomas E

2010-03-01

Autism is a neurodevelopmental disorder characterized by deficits in communication, social interaction, and a limited range of interests with repetitive stereotypical behavior. Various abnormalities have been documented in the brains of individuals with autism, both anatomically and functionally. The connectivity theory of autism is a recently developed theory of the neurobiological cause of autisic symptoms. Different patterns of hyper- and hypo-connectivity have been identified with the use of quantitative electroencephalogray (QEEG), which may be amenable to neurofeedback. In this study, we compared the results of two published controlled studies examining the efficacy of neurofeedback in the treatment of autism. Specifically, we examined whether a symptom based approach or an assessment/connectivity guided based approach was more effective. Although both methods demonstrated significant improvement in symptoms of autism, connectivity guided neurofeedback demonstrated greater reduction on various subscales of the Autism Treatment Evaluation Checklist (ATEC). Furthermore, when individuals were matched for severity of symptoms, the amount of change per session was significantly higher in the Coben and Padolsky (J Neurother 11:5-23, 2007) study for all five measures of the ATEC. Our findings suggest that an approach guided by QEEG based connectivity assessment may be more efficacious in the treatment of autism. This permits the targeting and amelioration of abnormal connectivity patterns in the brains of people who are autistic.

Biomarker Analysis of Samples Visually Identified as Microbial in the Eocene Green River Formation: An Analogue for Mars.

PubMed

Olcott Marshall, Alison; Cestari, Nicholas A

2015-09-01

One of the major exploration targets for current and future Mars missions are lithofacies suggestive of biotic activity. Although such lithofacies are not confirmation of biotic activity, they provide a way to identify samples for further analyses. To test the efficacy of this approach, we identified carbonate samples from the Eocene Green River Formation as "microbial" or "non-microbial" based on the macroscale morphology of their laminations. These samples were then crushed and analyzed by gas chromatography/mass spectroscopy (GC/MS) to determine their lipid biomarker composition. GC/MS analysis revealed that carbonates visually identified as "microbial" contained a higher concentration of more diverse biomarkers than those identified as "non-microbial," suggesting that this could be a viable detection strategy for selecting samples for further analysis or caching on Mars.

A school mental health literacy curriculum resource training approach: effects on Tanzanian teachers' mental health knowledge, stigma and help-seeking efficacy.

PubMed

Kutcher, Stan; Wei, Yifeng; Gilberds, Heather; Ubuguyu, Omary; Njau, Tasiana; Brown, Adena; Sabuni, Norman; Magimba, Ayoub; Perkins, Kevin

2016-01-01

Mental health literacy (MHL) is foundational for mental health promotion, prevention, stigma reduction, and care; School supported information pertaining to MHL in sub-Saharan Africa is extremely limited, including in Tanzania. Successful application of a school MHL curriculum resource may be an effective way to increase teacher MHL and therefore help to improve mental health outcomes for students. Secondary school teachers in Tanzania were trained on the African Guide (AG) a school MHL curriculum resource culturally adapted from a Canadian MHL resource (The Guide) for use in Africa. Teacher training workshops on the classroom application of the AG were used to evaluate its impact on mental health literacy in a sample of Tanzanian Secondary school teachers. Pre-post training assessment of participant knowledge and attitudes was conducted. Help-seeking efficacy for teachers themselves and their interventions for students, friends, family members and peers were determined. Paired t test (n = 37) results demonstrate highly significant improvements in teacher's overall knowledge (p < 0.001; d = 1.14), including mental health knowledge, (p < 0.001; d = 1.14) and curriculum specific knowledge (p < 0.01; d = 0.63). Teachers' stigma against mental illness decreased significantly following the training (p < 0.001; d = 0.61). Independent t tests comparing the paired sample against unpaired sample also demonstrated significant differences between the groups for teacher's overall knowledge (p < 0.001). Teachers also reported high rates (greater than ¾ of the sample) of positive help-seeking efficacy for themselves as well as for their students, friends, family members and peers. As a result of the training, the number of students teachers identified for potential mental health care totaled over 200. These positive results, when taken together with other research, suggest that the use of a classroom-based resource (the AG) that integrates MHL into existing

Precision Efficacy Analysis for Regression.

ERIC Educational Resources Information Center

Brooks, Gordon P.

When multiple linear regression is used to develop a prediction model, sample size must be large enough to ensure stable coefficients. If the derivation sample size is inadequate, the model may not predict well for future subjects. The precision efficacy analysis for regression (PEAR) method uses a cross- validity approach to select sample sizes…

FAMILY DEVELOPMENT CREDENTIAL TRAINING IMPACT ON SELF-EFFICACY BELIEFS OF HUMAN SERVICE WORKERS.

PubMed

Smith, Deborah B; Day, Nancy E

2015-01-01

The Family Development Credential (FDC) Training offers an innovative interagency training for human service workers within a community. We use a mixed-methods approach to evaluate the impact of FDC on work-related self-efficacy beliefs. Quantitative data found FDC participants increased their levels of positive self-efficacy beliefs and had no change in negative self-efficacy beliefs; a comparison group saw no change in positive self-efficacy beliefs but increased their levels of negative self-efficacy beliefs. Qualitative data indicated training increased work-related self-efficacy beliefs. Overall, findings suggest that FDC training improved self-efficacy in human service workers and that no training allowed negative self-efficacy beliefs to grow.

The Sources of Science Teaching Self-Efficacy among Elementary School Teachers: A Mediational Model Approach

ERIC Educational Resources Information Center

Wang, Ya-Ling; Tsai, Chin-Chung; Wei, Shih-Hsuan

2015-01-01

This study aimed to investigate the factors accounting for science teaching self-efficacy and to examine the relationships among Taiwanese teachers' science teaching self-efficacy, teaching and learning conceptions, technological--pedagogical content knowledge for the Internet (TPACK-I), and attitudes toward Internet-based instruction (Attitudes)…

High-throughput screening identifies artesunate as selective inhibitor of cancer stemness: Involvement of mitochondrial metabolism.

PubMed

Subedi, Amit; Futamura, Yushi; Nishi, Mayuko; Ryo, Akihide; Watanabe, Nobumoto; Osada, Hiroyuki

2016-09-02

Cancer stem cells (CSCs) have robust systems to maintain cancer stemness and drug resistance. Thus, targeting such robust systems instead of focusing on individual signaling pathways should be the approach allowing the identification of selective CSC inhibitors. Here, we used the alkaline phosphatase (ALP) assay to identify inhibitors for cancer stemness in induced cancer stem-like (iCSCL) cells. We screened several compounds from natural product chemical library and evaluated hit compounds for their efficacy on cancer stemness in iCSCL tumorspheres. We identified artesunate, an antimalarial drug, as a selective inhibitor of cancer stemness. Artesunate induced mitochondrial dysfunction that selectively inhibited cancer stemness of iCSCL cells, indicating an essential role of mitochondrial metabolism in cancer stemness. Copyright © 2016 Elsevier Inc. All rights reserved.

Balancing efficacy against safety in sublingual immunotherapy with inhalant allergens: what is the best approach?

PubMed

Caminati, Marco; Dama, Annarita; Schiappoli, Michele; Senna, Gianenrico

2013-10-01

Over the last 20 years, studies and clinical trials have demonstrated efficacy, safety and cost-effectiveness of sublingual immunotherapy (SLIT) for respiratory allergic diseases. Nevertheless, it seems to be mostly used as a second-line therapeutic option, and adherence to treatment is not always optimal. Selective literature research was done in Medline and PubMed, including guidelines, position papers and Cochrane meta-analyses concerning SLIT in adult patients. The most recent reviews confirm SLIT as viable and efficacious treatment especially for allergic rhinitis, even if the optimal dosage, duration, schedule are not clearly established for most of the products. Despite an optimal safety profile, tolerability and patient-reported outcomes concerning SLIT have received poor attention until now. Recently, new tools have been specifically developed in order to investigate these aspects. Regular assessment of tolerability profile and SLIT-related patient-reported outcomes will allow balancing efficacy with tolerability and all the other patient-related variables that may affect treatment effectiveness beyond its efficacy.

Automation of the CCTV-mediated detection of individuals illegally carrying firearms: combining psychological and technological approaches

NASA Astrophysics Data System (ADS)

Darker, Iain T.; Kuo, Paul; Yang, Ming Yuan; Blechko, Anastassia; Grecos, Christos; Makris, Dimitrios; Nebel, Jean-Christophe; Gale, Alastair G.

2009-05-01

Findings from the current UK national research programme, MEDUSA (Multi Environment Deployable Universal Software Application), are presented. MEDUSA brings together two approaches to facilitate the design of an automatic, CCTV-based firearm detection system: psychological-to elicit strategies used by CCTV operators; and machine vision-to identify key cues derived from camera imagery. Potentially effective human- and machine-based strategies have been identified; these will form elements of the final system. The efficacies of these algorithms have been tested on staged CCTV footage in discriminating between firearms and matched distractor objects. Early results indicate the potential for this combined approach.

Empirical Study on Learners' Self-Efficacy in ESL/EFL Context

ERIC Educational Resources Information Center

Shi, Lihong

2016-01-01

With the popularity of learner-oriented approach in language teaching, research on learners is gaining more and more importance. This paper attempts to review the empirical researches on self-efficacy in the ESL/EFL settings during the past 10 years with the purpose of depicting the extent to which the self-efficacy research in ESL/EFL has…

Effects of School-Wide Positive Behavior Support on Teacher Self-Efficacy

ERIC Educational Resources Information Center

Kelm, Joanna L.; McIntosh, Kent

2012-01-01

This study examined the relationships between implementation of a school-wide approach to behavior, School-wide Positive Behavior Support (SWPBS), and teacher self-efficacy. Twenty-two teachers from schools implementing SWPBS and 40 teachers from schools not implementing SWPBS completed a questionnaire measuring aspects of self-efficacy.…

LED lighting efficacy: Status and directions

DOE PAGES

Morgan Pattison, Paul; Hansen, Monica; Tsao, Jeffrey Y.

2017-12-28

A monumental shift from conventional lighting technologies (incandescent, fluorescent, high intensity discharge) to LED lighting is currently transpiring. The primary driver for this shift has been energy and associated cost savings. LED lighting is now more efficacious than any of the conventional lighting technologies with room to still improve. Near term, phosphor converted LED packages have the potential for efficacy improvement from 160 lm/W to 255 lm/W. Longer term, color-mixed LED packages have the potential for efficacy levels conceivably as high as 330 lm/W, though reaching these performance levels requires breakthroughs in green and amber LED efficiency. LED package efficacymore » sets the upper limit to luminaire efficacy, with the luminaire containing its own efficacy loss channels. In this paper, based on analyses performed through the U.S. Department of Energy Solid State Lighting Program, various LED and luminaire loss channels are elucidated, and critical areas for improvement identified. Beyond massive energy savings, LED technology enables a host of new applications and added value not possible or economical with previous lighting technologies. These include connected lighting, lighting tailored for human physiological responses, horticultural lighting, and ecologically conscious lighting. Finally, none of these new applications would be viable if not for the high efficacies that have been achieved, and are themselves just the beginning of what LED lighting can do.« less

LED lighting efficacy: Status and directions

DOE Office of Scientific and Technical Information (OSTI.GOV)

Morgan Pattison, Paul; Hansen, Monica; Tsao, Jeffrey Y.

A monumental shift from conventional lighting technologies (incandescent, fluorescent, high intensity discharge) to LED lighting is currently transpiring. The primary driver for this shift has been energy and associated cost savings. LED lighting is now more efficacious than any of the conventional lighting technologies with room to still improve. Near term, phosphor converted LED packages have the potential for efficacy improvement from 160 lm/W to 255 lm/W. Longer term, color-mixed LED packages have the potential for efficacy levels conceivably as high as 330 lm/W, though reaching these performance levels requires breakthroughs in green and amber LED efficiency. LED package efficacymore » sets the upper limit to luminaire efficacy, with the luminaire containing its own efficacy loss channels. In this paper, based on analyses performed through the U.S. Department of Energy Solid State Lighting Program, various LED and luminaire loss channels are elucidated, and critical areas for improvement identified. Beyond massive energy savings, LED technology enables a host of new applications and added value not possible or economical with previous lighting technologies. These include connected lighting, lighting tailored for human physiological responses, horticultural lighting, and ecologically conscious lighting. Finally, none of these new applications would be viable if not for the high efficacies that have been achieved, and are themselves just the beginning of what LED lighting can do.« less

Understanding the Link between Professional Learning Communities and Teacher Collective Efficacy

ERIC Educational Resources Information Center

Voelkel, Robert H., Jr.; Chrispeels, Janet H.

2017-01-01

Research suggests effective professional learning communities (PLCs) enhance teacher collaboration and student achievement. Some studies indicate that these communities also predict greater collective efficacy, while others suggest teacher efficacy is predictive of teachers working together. Although studies have identified effective,…

SPARQL-enabled identifier conversion with Identifiers.org

PubMed Central

Wimalaratne, Sarala M.; Bolleman, Jerven; Juty, Nick; Katayama, Toshiaki; Dumontier, Michel; Redaschi, Nicole; Le Novère, Nicolas; Hermjakob, Henning; Laibe, Camille

2015-01-01

Motivation: On the semantic web, in life sciences in particular, data is often distributed via multiple resources. Each of these sources is likely to use their own International Resource Identifier for conceptually the same resource or database record. The lack of correspondence between identifiers introduces a barrier when executing federated SPARQL queries across life science data. Results: We introduce a novel SPARQL-based service to enable on-the-fly integration of life science data. This service uses the identifier patterns defined in the Identifiers.org Registry to generate a plurality of identifier variants, which can then be used to match source identifiers with target identifiers. We demonstrate the utility of this identifier integration approach by answering queries across major producers of life science Linked Data. Availability and implementation: The SPARQL-based identifier conversion service is available without restriction at http://identifiers.org/services/sparql. Contact: sarala@ebi.ac.uk PMID:25638809

SPARQL-enabled identifier conversion with Identifiers.org.

PubMed

Wimalaratne, Sarala M; Bolleman, Jerven; Juty, Nick; Katayama, Toshiaki; Dumontier, Michel; Redaschi, Nicole; Le Novère, Nicolas; Hermjakob, Henning; Laibe, Camille

2015-06-01

On the semantic web, in life sciences in particular, data is often distributed via multiple resources. Each of these sources is likely to use their own International Resource Identifier for conceptually the same resource or database record. The lack of correspondence between identifiers introduces a barrier when executing federated SPARQL queries across life science data. We introduce a novel SPARQL-based service to enable on-the-fly integration of life science data. This service uses the identifier patterns defined in the Identifiers.org Registry to generate a plurality of identifier variants, which can then be used to match source identifiers with target identifiers. We demonstrate the utility of this identifier integration approach by answering queries across major producers of life science Linked Data. The SPARQL-based identifier conversion service is available without restriction at http://identifiers.org/services/sparql. © The Author 2015. Published by Oxford University Press.

The inference-based approach to obsessive-compulsive disorder: A comprehensive review of its etiological model, treatment efficacy, and model of change.

PubMed

Julien, Dominic; O'Connor, Kieron; Aardema, Frederick

2016-09-15

The inference-based approach (IBA) postulates that individuals with obsessive-compulsive disorder (OCD) confuse a possibility with reality (inferential confusion) according to specific inductive reasoning devices and act as if this possibility were true. A new treatment modality, the inference-based therapy (IBT), was developed. The aim of this study was to critically review empirical evidence regarding the etiological model, treatment efficacy, and model of change of IBA. A search of the literature was conducted using PsycINFO and Medline. Thirty-four articles were included in the review. The review reveals that intrusive thoughts of non-clinical and OCD individuals may occur in different contexts. There is support for a specific inductive reasoning style in OCD. Inferential confusion is associated with OCD symptoms. There is good evidence that IBT is an efficacious treatment for OCD, including two randomized controlled trials showing that IBT was as efficacious as cognitive-behavior therapy. There is some but limited evidence that the process of change during treatment is coherent with IBA's assumptions. Key premises were investigated in only a few studies. Some of these studies were conducted in non-clinical samples or did not include an anxious control group. IBA's etiological model, treatment modality, and model of change make a significant contribution to OCD. Copyright © 2016 Elsevier B.V. All rights reserved.

A similarity based approach to identify homogeneous regions for seasonal forecasting

NASA Astrophysics Data System (ADS)

Schick, Simon; Rössler, Ole; Weingartner, Rolf

2015-04-01

Seasonal runoff forecasting using statistical models is challenged by a large number of candidate predictors and a general weak predictor-predictand relationship. As the area of the target basin increases, often also the available data sets do, thus reinforcing the predictor selection challenge. We propose an approach which follows the idea of 'divide and conquer' as developed in computational sciences and machine learning: First, the macroscale target basin is partitioned into homogeneous regions using all its gauged mesoscale subbasins. Second, one representative subbasin per homogeneous region is identified, for which models are fitted and applied. Third, the resulting forecasts are combined at the scale of the macroscale target basin. This approach requires a suitable method to identify homogeneous regions and representative subbasins. We suggest a way based on hydrological similarity, as catchment similarity estimated with respect to physiographic-climatic descriptors does not necessarily imply similar runoff response. Each descriptor is derived from daily runoff series and aimed to reflect a specific catchment characteristic: autocorrelation coefficient, parameters of fitted Gamma distribution and low/high flow indices (based on daily runoff values) fluctuation of the standard deviation within the yearly cycle (based on weekly runoff values) dominant harmonics obtained from the discrete Fourier transform (based on monthly runoff values) long term trend (based on yearly runoff values) Where necessary, the runoff series first need to be standardized, aggregated, detrended or deseasonalized. As a preliminary study we present the results of a cluster analysis for the Swiss Rhine River as macroscale target basin, which leads to about 40 mesoscale subbasins with runoff series for the period 1991-2010. Problems we have to address include the choice of a clustering algorithm, the identification of an appropriate number of regions and the selection of representative

Adaptation of the contraceptive self-efficacy scale for heterosexual Mexican men and women of reproductive age.

PubMed

Arias, María Luisa Flores; Champion, Jane Dimmitt; Soto, Norma Elva Sáenz

2017-08-01

Development of a Spanish Version Contraceptive Self-efficacy Scale for use among heterosexual Mexican populations of reproductive age inclusive of 18-35years. Methods of family planning have decreased in Mexico which may lead to an increase in unintended pregnancies. Contraceptive self-efficacy is considered a predictor and precursor for use of family planning methods. Cross-sectional, descriptive study design was used to assess contraceptive self-efficacy among a heterosexual Mexican population (N=160) of reproductive age (18-35years). Adaptation of a Spanish Version Contraceptive Self-efficacy scale was conducted prior to instrument administration. Exploratory and confirmatory factorial analyses identified seven factors with a variance of 72.812%. The adapted scale had a Cronbach alpha of 0.771. A significant correlation between the Spanish Version Contraceptive Self-efficacy Scale and the use of family planning methods was identified. The Spanish Version Contraceptive Self-efficacy scale has an acceptable Cronbach alpha. Exploratory factor analysis identified 7 components. A positive correlation between self-reported contraceptive self-efficacy and family planning method use was identified. This scale may be used among heterosexual Mexican men and women of reproductive age. The factor analysis (7 factors versus 4 factors for the original scale) identified a discrepancy for interpretation of the Spanish versus English language versions. Interpretation of findings obtained via the Spanish versión among heterosexual Mexican men and women of reproductive age require interpretation based upon these differences identified in these analyses. Copyright © 2017 Elsevier Inc. All rights reserved.

An Unbiased Approach to Identifying Tau Kinases That Phosphorylate Tau at Sites Associated with Alzheimer Disease

PubMed Central

Cavallini, Annalisa; Brewerton, Suzanne; Bell, Amanda; Sargent, Samantha; Glover, Sarah; Hardy, Clare; Moore, Roger; Calley, John; Ramachandran, Devaki; Poidinger, Michael; Karran, Eric; Davies, Peter; Hutton, Michael; Szekeres, Philip; Bose, Suchira

2013-01-01

Neurofibrillary tangles, one of the hallmarks of Alzheimer disease (AD), are composed of paired helical filaments of abnormally hyperphosphorylated tau. The accumulation of these proteinaceous aggregates in AD correlates with synaptic loss and severity of dementia. Identifying the kinases involved in the pathological phosphorylation of tau may identify novel targets for AD. We used an unbiased approach to study the effect of 352 human kinases on their ability to phosphorylate tau at epitopes associated with AD. The kinases were overexpressed together with the longest form of human tau in human neuroblastoma cells. Levels of total and phosphorylated tau (epitopes Ser(P)-202, Thr(P)-231, Ser(P)-235, and Ser(P)-396/404) were measured in cell lysates using AlphaScreen assays. GSK3α, GSK3β, and MAPK13 were found to be the most active tau kinases, phosphorylating tau at all four epitopes. We further dissected the effects of GSK3α and GSK3β using pharmacological and genetic tools in hTau primary cortical neurons. Pathway analysis of the kinases identified in the screen suggested mechanisms for regulation of total tau levels and tau phosphorylation; for example, kinases that affect total tau levels do so by inhibition or activation of translation. A network fishing approach with the kinase hits identified other key molecules putatively involved in tau phosphorylation pathways, including the G-protein signaling through the Ras family of GTPases (MAPK family) pathway. The findings identify novel tau kinases and novel pathways that may be relevant for AD and other tauopathies. PMID:23798682

Discourse in freshman engineering teams: The relationship between verbal persuasions, self-efficacy, and achievement

NASA Astrophysics Data System (ADS)

Yasar, Senay

Collaborative teamwork is a common practice in both science and engineering schools and workplaces. This study, using a mixed-methods approach, was designed to identify which team discourse characteristics are correlated with changes in student self-efficacy and achievement. Bandura's self-efficacy theory constitutes the theoretical framework. Seven teams, consisting of first-year engineering students, took the pre- and post-surveys and were video- and audio-recorded during a semester-long Introduction to Engineering Design course. Three instruments were developed: a self-efficacy survey, a team interaction observation protocol, and a team interaction self-report survey. The reliability and validity of these instruments were established. An iterative process of code development and refinement led to the development of thirty-five discourse types, which were grouped under six discourse categories: task-oriented, response-oriented, learning-oriented, support-oriented, challenge-oriented, and disruptive. The results of the quantitative data analysis showed that achievement and gain in self-efficacy were significantly correlated ( r=.55, p<.01). There was also a positive correlation between support-orientated discourse and post self-efficacy scores ( r=.43, p<.05). Negative correlations were observed between disruptive discourse behaviors and post self-efficacy (r=-.48, p<.05). Neither being challenged by peers nor receiving negative feedback revealed significant correlations with student self-efficacy. In addition, no direct correlations between the team discourse characteristics and achievement were found. These findings suggest that collaborative teamwork can lead to achievement to the extent that it supports self-efficacy. They also suggest that interactions such as receiving positive or negative feedback have less impact on self-efficacy than does the overall constructive behavior of the group. The qualitative component of the study, which focused on three case

Formal Analysis of Self-Efficacy in Job Interviewee’s Mental State Model

NASA Astrophysics Data System (ADS)

Ajoge, N. S.; Aziz, A. A.; Yusof, S. A. Mohd

2017-08-01

This paper presents a formal analysis approach for self-efficacy model of interviewee’s mental state during a job interview session. Self-efficacy is a construct that has been hypothesised to combine with motivation and interviewee anxiety to define state influence of interviewees. The conceptual model was built based on psychological theories and models related to self-efficacy. A number of well-known relations between events and the course of self-efficacy are summarized from the literature and it is shown that the proposed model exhibits those patterns. In addition, this formal model has been mathematically analysed to find out which stable situations exist. Finally, it is pointed out how this model can be used in a software agent or robot-based platform. Such platform can provide an interview coaching approach where support to the user is provided based on their individual metal state during interview sessions.

The "Responsive Classroom" Approach and Fifth Grade Students' Math and Science Anxiety and Self-Efficacy

ERIC Educational Resources Information Center

Griggs, Marissa Swaim; Rimm-Kaufman, Sara E.; Merritt, Eileen G.; Patton, Christine L.

2013-01-01

Self-efficacy forecasts student persistence and achievement in challenging subjects. Thus, it is important to understand factors that contribute to students' self-efficacy, a key factor in their success in math and science. The current cross-sectional study examined the contribution of students' gender and math and science anxiety as well as…

Identifying ecological "sweet spots" underlying cyanobacteria functional group dynamics from long-term observations using a statistical machine learning approach

NASA Astrophysics Data System (ADS)

Nelson, N.; Munoz-Carpena, R.; Phlips, E. J.

2017-12-01

Diversity in the eco-physiological adaptations of cyanobacteria genera creates challenges for water managers who are tasked with developing appropriate actions for controlling not only the intensity and frequency of cyanobacteria blooms, but also reducing the potential for blooms of harmful taxa (e.g., toxin producers, N2 fixers). Compounding these challenges, the efficacy of nutrient management strategies (phosphorus-only versus nitrogen-and-phosphorus) for cyanobacteria bloom abatement is the subject of an ongoing debate, which increases uncertainty associated with bloom mitigation decision-making. In this work, we analyze a unique long-term (17-year) dataset composed of monthly observations of cyanobacteria genera abundances, zooplankton abundances, water quality, and flow from Lake George, a bloom-impacted flow-through lake of the St. Johns River (FL, USA). Using the Random Forests machine learning algorithm, an assumption-free ensemble modeling approach, the dataset was evaluated to quantify and characterize relationships between environmental conditions and seven cyanobacteria groupings: five genera (Anabaena, Cylindrospermopsis, Lyngbya, Microcystis, and Oscillatoria) and two functional groups (N2 fixers and non-fixers). Results highlight the selectivity of nitrogen in describing genera and functional group dynamics, and potential for physical effects to limit the efficacy of nutrient management as a mechanism for cyanobacteria bloom mitigation.

Safety and Efficacy of Neonatal Vaccination

PubMed Central

Demirjian, Alicia; Levy, Ofer

2009-01-01

Newborns have an immature immune system that renders them at high risk for infection while simultaneously reducing responses to most vaccines, thereby posing challenges in protecting this vulnerable population. Nevertheless, certain vaccines, such as Bacillus Calmette Guérin (BCG) and Hepatitis B vaccine (HBV), do demonstrate safety and some efficacy at birth, providing proof of principal that certain antigen-adjuvant combinations are able to elicit protective neonatal responses. Moreover, birth is a major point of healthcare contact globally meaning that effective neonatal vaccines achieve high population penetration. Given the potentially significant benefit of vaccinating at birth, availability of a broader range of more effective neonatal vaccines is an unmet medical need and a public health priority. This review focuses on safety and efficacy of neonatal vaccination in humans as well as recent research employing novel approaches to enhance the efficacy of neonatal vaccination. PMID:19089811

Enhancing meaningful learning and self-efficacy through collaboration between dental hygienist and physiotherapist students - a scholarship project.

PubMed

Johannsen, A; Bolander-Laksov, K; Bjurshammar, N; Nordgren, B; Fridén, C; Hagströmer, M

2012-11-01

Within the field of Dental Hygiene (DH) and Physiotherapy (PT), students are taught to use an evidence-based approach. Educators need to consider the nature of evidence-based practice from the perspective of content knowledge and learning strategies. Such effort to seek best available evidence and to apply a systematic and scholarly approach to teaching and learning is called scholarship of teaching and learning. To evaluate the application of the scholarship model including an evidence-based approach to enhance meaningful learning and self-efficacy among DH and PT students. Based on the research on student learning, three central theories were identified (constructivism, meaningful learning and self-efficacy). These were applied in our context to support learner engagement and the application of prior knowledge in a new situation. The DH students performed an oral health examination on the PT students, and the PT students performed an individual health test on the DH students; both groups used motivational interviewing. Documentation of student's learning experience was carried out through seminars and questionnaires. The students were overall satisfied with the learning experience. Most appreciated are that it reflected a 'real' professional situation and that it also reinforced important learning from their seminars. The scholarship model made the teachers aware of the importance of evidence-based teaching. Furthermore, the indicators for meaningful learning and increased self-efficacy were high, and the students became more engaged by practising in a real situation, more aware of other health professions and reflected about tacit knowledge. © 2012 John Wiley & Sons A/S.

The efficacy of wire and glue hair snares in identifying mesocarnivores

Treesearch

William J. Zielinski; Fredrick V. Schlexer; Kristine L. Pilgrim; Michael K. Schwartz

2006-01-01

Track plates and cameras are proven methods for detecting and identifying fishers (Martes pennant) and other mesocarnivores. But these methods are inadequate to achieve demographic and population-monitoring objectives that require identifying sex and individuals. Although noninvasive collection of biological material for genetic analysis (i.e.,...

Genome-Scale Approaches to Identify Genes Essential for Haemophilus influenzae Pathogenesis

PubMed Central

Wong, Sandy M. S.; Akerley, Brian J.

2012-01-01

Haemophilus influenzae is a Gram-negative bacterium that has no identified natural niche outside of the human host. It primarily colonizes the nasopharyngeal mucosa in an asymptomatic mode, but has the ability to disseminate to other anatomical sites to cause otitis media, upper, and lower respiratory tract infections, septicemia, and meningitis. To persist in diverse environments the bacterium must exploit and utilize the nutrients and other resources available in these sites for optimal growth/survival. Recent evidence suggests that regulatory factors that direct such adaptations also control virulence determinants required to resist and evade immune clearance mechanisms. In this review, we describe the recent application of whole-genome approaches that together provide insight into distinct survival mechanisms of H. influenzae in the context of different sites of pathogenesis. PMID:22919615

Genome-scale approaches to identify genes essential for Haemophilus influenzae pathogenesis.

PubMed

Wong, Sandy M S; Akerley, Brian J

2012-01-01

Haemophilus influenzae is a Gram-negative bacterium that has no identified natural niche outside of the human host. It primarily colonizes the nasopharyngeal mucosa in an asymptomatic mode, but has the ability to disseminate to other anatomical sites to cause otitis media, upper, and lower respiratory tract infections, septicemia, and meningitis. To persist in diverse environments the bacterium must exploit and utilize the nutrients and other resources available in these sites for optimal growth/survival. Recent evidence suggests that regulatory factors that direct such adaptations also control virulence determinants required to resist and evade immune clearance mechanisms. In this review, we describe the recent application of whole-genome approaches that together provide insight into distinct survival mechanisms of H. influenzae in the context of different sites of pathogenesis.

Self-Efficacy Regarding Social Work Competencies

ERIC Educational Resources Information Center

Holden, Gary; Barker, Kathleen; Kuppens, Sofie; Rosenberg, Gary

2017-01-01

Purpose: The need for psychometrically sound measurement approaches to social work educational outcomes assessment is increasing. Method: The research reported here describes an original and two replication studies of a new scale (N = 550) designed to assess an individual's self-efficacy regarding social work competencies specified by the Council…

A review of approaches to identifying patient phenotype cohorts using electronic health records

PubMed Central

Shivade, Chaitanya; Raghavan, Preethi; Fosler-Lussier, Eric; Embi, Peter J; Elhadad, Noemie; Johnson, Stephen B; Lai, Albert M

2014-01-01

Objective To summarize literature describing approaches aimed at automatically identifying patients with a common phenotype. Materials and methods We performed a review of studies describing systems or reporting techniques developed for identifying cohorts of patients with specific phenotypes. Every full text article published in (1) Journal of American Medical Informatics Association, (2) Journal of Biomedical Informatics, (3) Proceedings of the Annual American Medical Informatics Association Symposium, and (4) Proceedings of Clinical Research Informatics Conference within the past 3 years was assessed for inclusion in the review. Only articles using automated techniques were included. Results Ninety-seven articles met our inclusion criteria. Forty-six used natural language processing (NLP)-based techniques, 24 described rule-based systems, 41 used statistical analyses, data mining, or machine learning techniques, while 22 described hybrid systems. Nine articles described the architecture of large-scale systems developed for determining cohort eligibility of patients. Discussion We observe that there is a rise in the number of studies associated with cohort identification using electronic medical records. Statistical analyses or machine learning, followed by NLP techniques, are gaining popularity over the years in comparison with rule-based systems. Conclusions There are a variety of approaches for classifying patients into a particular phenotype. Different techniques and data sources are used, and good performance is reported on datasets at respective institutions. However, no system makes comprehensive use of electronic medical records addressing all of their known weaknesses. PMID:24201027

Tiered High-Throughput Screening Approach to Identify ...

EPA Pesticide Factsheets

High-throughput screening (HTS) for potential thyroid–disrupting chemicals requires a system of assays to capture multiple molecular-initiating events (MIEs) that converge on perturbed thyroid hormone (TH) homeostasis. Screening for MIEs specific to TH-disrupting pathways is limited in the US EPA ToxCast screening assay portfolio. To fill one critical screening gap, the Amplex UltraRed-thyroperoxidase (AUR-TPO) assay was developed to identify chemicals that inhibit TPO, as decreased TPO activity reduces TH synthesis. The ToxCast Phase I and II chemical libraries, comprised of 1,074 unique chemicals, were initially screened using a single, high concentration to identify potential TPO inhibitors. Chemicals positive in the single concentration screen were retested in concentration-response. Due to high false positive rates typically observed with loss-of-signal assays such as AUR-TPO, we also employed two additional assays in parallel to identify possible sources of nonspecific assay signal loss, enabling stratification of roughly 300 putative TPO inhibitors based upon selective AUR-TPO activity. A cell-free luciferase inhibition assay was used to identify nonspecific enzyme inhibition among the putative TPO inhibitors, and a cytotoxicity assay using a human cell line was used to estimate the cellular tolerance limit. Additionally, the TPO inhibition activities of 150 chemicals were compared between the AUR-TPO and an orthogonal peroxidase oxidation assay using

Identifying the Critical Links in Road Transportation Networks: Centrality-based approach utilizing structural properties

DOE Office of Scientific and Technical Information (OSTI.GOV)

Chinthavali, Supriya

Surface transportation road networks share structural properties similar to other complex networks (e.g., social networks, information networks, biological networks, and so on). This research investigates the structural properties of road networks for any possible correlation with the traffic characteristics such as link flows those determined independently. Additionally, we define a criticality index for the links of the road network that identifies the relative importance in the network. We tested our hypotheses with two sample road networks. Results show that, correlation exists between the link flows and centrality measures of a link of the road (dual graph approach is followed) andmore » the criticality index is found to be effective for one test network to identify the vulnerable nodes.« less

Structured methodology review identified seven (RETREAT) criteria for selecting qualitative evidence synthesis approaches.

PubMed

Booth, Andrew; Noyes, Jane; Flemming, Kate; Gerhardus, Ansgar; Wahlster, Philip; van der Wilt, Gert Jan; Mozygemba, Kati; Refolo, Pietro; Sacchini, Dario; Tummers, Marcia; Rehfuess, Eva

2018-07-01

To compare and contrast different methods of qualitative evidence synthesis (QES) against criteria identified from the literature and to map their attributes to inform selection of the most appropriate QES method to answer research questions addressed by qualitative research. Electronic databases, citation searching, and a study register were used to identify studies reporting QES methods. Attributes compiled from 26 methodological papers (2001-2014) were used as a framework for data extraction. Data were extracted into summary tables by one reviewer and then considered within the author team. We identified seven considerations determining choice of methods from the methodological literature, encapsulated within the mnemonic Review question-Epistemology-Time/Timescale-Resources-Expertise-Audience and purpose-Type of data. We mapped 15 different published QES methods against these seven criteria. The final framework focuses on stand-alone QES methods but may also hold potential when integrating quantitative and qualitative data. These findings offer a contemporary perspective as a conceptual basis for future empirical investigation of the advantages and disadvantages of different methods of QES. It is hoped that this will inform appropriate selection of QES approaches. Copyright © 2018 Elsevier Inc. All rights reserved.

Identifying Technical Vocabulary

ERIC Educational Resources Information Center

Chung, Teresa Mihwa; Nation, Paul

2004-01-01

This study compared four different approaches to identifying technical words in an anatomy text. The first approach used a four step rating scale, and was used as the comparison for evaluating the other three approaches. It had a high degree of reliability. The least successful approach was that using clues provided by the writer such as labels in…

Teacher Leadership and Teacher Efficacy: A Correlational Study Comparing Teacher Perceptions of Leadership and Efficacy and Teacher Evaluation Scores from the North Carolina Educator Evaluation System

ERIC Educational Resources Information Center

Guenzler, April M.

2016-01-01

This study sought to identify correlations between constructs of teacher leadership, teacher efficacy, and teacher evaluation. Teacher perceptual data of support of teacher leadership, perceptual data on personal teacher efficacy, and teacher self-reported scores from the North Carolina Educator Evaluation System were gathered. The relationships…

Freshman Engineering Students At-Risk of Non-Matriculation: Self-Efficacy for Academic Learning

ERIC Educational Resources Information Center

Ernst, Jeremy V.; Bowen, Bradley D.; Williams, Thomas O.

2016-01-01

Students identified as at-risk of non-academic continuation have a propensity toward lower academic self-efficacy than their peers (Lent, 2005). Within engineering, self-efficacy and confidence are major markers of university continuation and success (Lourens, 2014 Raelin, et al., 2014). This study explored academic learning self-efficacy specific…

An Immunohistochemical Approach to Identify the Sex of Young Marine Turtles.

PubMed

Tezak, Boris M; Guthrie, Kathleen; Wyneken, Jeanette

2017-08-01

Marine turtles exhibit temperature-dependent sex determination (TSD). During critical periods of embryonic development, the nest's thermal environment directs whether an embryo will develop as a male or female. At warmer sand temperatures, nests tend to produce female-biased sex ratios. The rapid increase of global temperature highlights the need for a clear assessment of its effects on sea turtle sex ratios. However, estimating hatchling sex ratios at rookeries remains imprecise due to the lack of sexual dimorphism in young marine turtles. We rely mainly upon laparoscopic procedures to verify hatchling sex; however, in some species, morphological sex can be ambiguous even at the histological level. Recent studies using immunohistochemical (IHC) techniques identified that embryonic snapping turtle (Chelydra serpentina) ovaries overexpressed a particular cold-induced RNA-binding protein in comparison to testes. This feature allows the identification of females vs. males. We modified this technique to successfully identify the sexes of loggerhead sea turtle (Caretta caretta) hatchlings, and independently confirmed the results by standard histological and laparoscopic methods that reliably identify sex in this species. We next tested the CIRBP IHC method on gonad samples from leatherback turtles (Dermochelys coriacea). Leatherbacks display delayed gonad differentiation, when compared to other sea turtles, making hatchling gonads difficult to sex using standard H&E stain histology. The IHC approach was successful in both C. caretta and D. coriacea samples, offering a much-needed tool to establish baseline hatchling sex ratios, particularly for assessing impacts of climate change effects on leatherback turtle hatchlings and sea turtle demographics. Anat Rec, 300:1512-1518, 2017. © 2017 Wiley Periodicals, Inc. © 2017 Wiley Periodicals, Inc.

The cubic ternary complex receptor-occupancy model. III. resurrecting efficacy.

PubMed

Weiss, J M; Morgan, P H; Lutz, M W; Kenakin, T P

1996-08-21

Early work in pharmacology characterized the interaction of receptors and ligands in terms of two parameters, affinity and efficacy, an approach we term the bipartite view. A precise formulation of efficacy only exists for very simple pharmacological models. Here we extend the notion of efficacy to models that incorporate receptor activation and G-protein coupling. Using the cubic ternary complex model, we show that efficacy is not purely a property of the ligand-receptor interaction; it also depends upon the distributional details of the receptor species in the native receptor ensemble. This suggests a distinction between what we call potential efficacy (a vector) and realized efficacy (a scalar). To each receptor species in the native receptor ensemble we assign a part-worth utility; taken together these utilities comprise the potential efficacy vector. Realized efficacy is the expectation of these part-worth utilities with respect to the frequency distribution of receptor species in the native receptor ensemble. In the parlance of statistical decision theory, the binding of a ligand to a receptor ensemble is a random prospect and realized efficacy is the utility of this prospect. We explore the implications that our definition of efficacy has for understanding agonism and in assessing the legitimacy of the bipartite view in pharmacology.

Teacher Self-Efficacy and Classroom Management Styles in Jordanian Schools

ERIC Educational Resources Information Center

Abu-Tineh, Abdullah M.; Khasawneh, Samar A.; Khalaileh, Huda A.

2011-01-01

Two main purposes guided this study. The first was to identify the degree to which Jordanian teachers practise classroom management styles in their classrooms and their level of teacher self-efficacy. The second purpose was to explore the relationships between classroom management styles and teacher self-efficacy. This study is quantitative in…

Self-efficacy in managing chronic respiratory disease: parents' experiences.

PubMed

Jones, Virginia; Whitehead, Lisa; Crowe, Marie Therese

2016-01-01

The aim of this study was to explore parent's sense of self-efficacy and the experiences that impact on this in relation to the management of their child's chronic respiratory disease. A qualitative study using a general inductive approach was taken. Semi-structured interviews with 23 parents were completed and thematic analysis employed to generate categories and themes. Parents described self-efficacy as important in their ability to maintain daily management of their child's health. The greatest impact on self-efficacy was an overwhelming sense of responsibility. Parents described an enduring sense of responsibility through ongoing vigilance and adherence to medical regimes. In order for parents to maintain self-efficacy in their care giving role, health professionals need an understanding of how best to support them to manage the sense of responsibility they experience.

Increasing Writing Self-Efficacy of Adult Learners: Different Approaches, Different Results

ERIC Educational Resources Information Center

Plakhotnik, Maria S.; Rocco, Tonette S.

2016-01-01

To help graduate students with academic writing, a college of education at a large university implemented a new service, Writing Support Circles. Based on the results of the first series of this service, we changed its design. The purpose of this article is to share how changes in the design affected these adult learners' writing self-efficacy and…

Statistical controversies in clinical research: building the bridge to phase II-efficacy estimation in dose-expansion cohorts.

PubMed

Boonstra, P S; Braun, T M; Taylor, J M G; Kidwell, K M; Bellile, E L; Daignault, S; Zhao, L; Griffith, K A; Lawrence, T S; Kalemkerian, G P; Schipper, M J

2017-07-01

Regulatory agencies and others have expressed concern about the uncritical use of dose expansion cohorts (DECs) in phase I oncology trials. Nonetheless, by several metrics-prevalence, size, and number-their popularity is increasing. Although early efficacy estimation in defined populations is a common primary endpoint of DECs, the types of designs best equipped to identify efficacy signals have not been established. We conducted a simulation study of six phase I design templates with multiple DECs: three dose-assignment/adjustment mechanisms multiplied by two analytic approaches for estimating efficacy after the trial is complete. We also investigated the effect of sample size and interim futility analysis on trial performance. Identifying populations in which the treatment is efficacious (true positives) and weeding out inefficacious treatment/populations (true negatives) are competing goals in these trials. Thus, we estimated true and false positive rates for each design. Adaptively updating the MTD during the DEC improved true positive rates by 8-43% compared with fixing the dose during the DEC phase while maintaining false positive rates. Inclusion of an interim futility analysis decreased the number of patients treated under inefficacious DECs without hurting performance. A substantial gain in efficiency is obtainable using a design template that statistically models toxicity and efficacy against dose level during expansion. Design choices for dose expansion should be motivated by and based upon expected performance. Similar to the common practice in single-arm phase II trials, cohort sample sizes should be justified with respect to their primary aim and include interim analyses to allow for early stopping. © The Author 2017. Published by Oxford University Press on behalf of the European Society for Medical Oncology. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Tests of Behavioral-Economic Assessments of Relative Reinforcer Efficacy: Economic Substitutes

ERIC Educational Resources Information Center

Madden, Gregory J.; Smethells, John R.; Ewan, Eric E.; Hursh, Steven R.

2007-01-01

This experiment was conducted to test predictions of two behavioral-economic approaches to quantifying relative reinforcer efficacy. According to the first of these approaches, characteristics of averaged normalized demand curves may be used to predict progressive-ratio breakpoints and peak responding. The second approach, the demand analysis,…

Assessment of Self-Efficacy and its Relationship with Frailty in the Elderly.

PubMed

Doba, Nobutaka; Tokuda, Yasuharu; Saiki, Keiichirou; Kushiro, Toshio; Hirano, Masumi; Matsubara, Yoshihiro; Hinohara, Shigeaki

Objective It has been increasingly recognized in various clinical areas that self-efficacy promotes the level of competence in patients. The validity, applicability and potential usefulness of a new, simple model for assessing self-efficacy in the elderly with special reference to frailty were investigated for improving elderly patients' accomplishments. Methods The subjects of the present study comprised 257 elderly people who were members of the New Elder Citizen Movement in Japan and their mean age was 82.3±3.8 years. Interview materials including self-efficacy questionnaires were sent to all participants in advance and all other physical examinations were performed at the Life Planning Center Clinic. Results The internal consistency and close relation among a set of items used as a measure of self-efficacy were evaluated by Cronbach's alpha index, which was 0.79. Although no age-dependent difference was identified in either sex, gender-related differences in some factors were noted. Regarding several parametric parameters, Beck's inventory alone revealed a significant relationship to self-efficacy in both sexes. Additionally, non-parametric items such as stamina, power and memory were strongly correlated with self-efficacy in both sexes. Frailty showed a significant independent relationship with self-efficacy in a multiple linear regression model analysis and using Beck's inventory, stamina, power and memory were identified to be independent factors for self-efficacy. Conclusion The simple assessment of self-efficacy described in this study may be a useful tool for successful aging of elderly people.

Machine-learning approach identifies a pattern of gene expression in peripheral blood that can accurately detect ischaemic stroke

PubMed Central

O’Connell, Grant C; Petrone, Ashley B; Treadway, Madison B; Tennant, Connie S; Lucke-Wold, Noelle; Chantler, Paul D; Barr, Taura L

2016-01-01

Early and accurate diagnosis of stroke improves the probability of positive outcome. The objective of this study was to identify a pattern of gene expression in peripheral blood that could potentially be optimised to expedite the diagnosis of acute ischaemic stroke (AIS). A discovery cohort was recruited consisting of 39 AIS patients and 24 neurologically asymptomatic controls. Peripheral blood was sampled at emergency department admission, and genome-wide expression profiling was performed via microarray. A machine-learning technique known as genetic algorithm k-nearest neighbours (GA/kNN) was then used to identify a pattern of gene expression that could optimally discriminate between groups. This pattern of expression was then assessed via qRT-PCR in an independent validation cohort, where it was evaluated for its ability to discriminate between an additional 39 AIS patients and 30 neurologically asymptomatic controls, as well as 20 acute stroke mimics. GA/kNN identified 10 genes (ANTXR2, STK3, PDK4, CD163, MAL, GRAP, ID3, CTSZ, KIF1B and PLXDC2) whose coordinate pattern of expression was able to identify 98.4% of discovery cohort subjects correctly (97.4% sensitive, 100% specific). In the validation cohort, the expression levels of the same 10 genes were able to identify 95.6% of subjects correctly when comparing AIS patients to asymptomatic controls (92.3% sensitive, 100% specific), and 94.9% of subjects correctly when comparing AIS patients with stroke mimics (97.4% sensitive, 90.0% specific). The transcriptional pattern identified in this study shows strong diagnostic potential, and warrants further evaluation to determine its true clinical efficacy. PMID:29263821

Women's self-efficacy perceptions in mathematics and science: Investigating USC-MESA students

NASA Astrophysics Data System (ADS)

Hong, Rebecca Cheng-Shun

This study is an investigation into female high school seniors in the USC-MESA program and how the role of self-efficacy perceptions in mathematics and science relates to their college major choice. Bandura's theory on self-efficacy provides the backdrop for this study. This study is qualitative and takes an ethnographic approach incorporating 23 interviews, 2 focus groups, 49.5 hours of observation, and document analysis. Results show that female high school seniors participating in the USC-MESA program demonstrate a strong self-efficacy perception in mathematics and science through their academic choices and pursuits in high school and beyond. This finding confirms a linear approach in understanding how courses taken in high school contribute to the trajectory of college academic choices. It also challenges the theory of self-efficacy in math and science to examine historically underrepresented populations in the field and the external factors that play a key role in their persistence to pursue STEM fields in college and beyond.

Reflections on urban science teacher-student self-efficacy dynamics

NASA Astrophysics Data System (ADS)

Hagiwara, Sumi; Maulucci, Maria S. Rivera; Ramos, S. Lizette

2011-12-01

This forum article consists of commentaries—authored by Sumi Hagiwara, Maria S. Rivera Maulucci and Lizette Ramos—on the feature article by Virginia Jennings Bolshakova, Carla C. Johnson, and Charlene M. Czerniak. We reflect on a series of questions that take retrospective, introspective, and prospective views of self-efficacy in science education. We review selected studies that explore some of the historical developments and methodological approaches in the literature and examine a teacher-student self-efficacy system model that shows the ways in which teachers' and students' self-efficacy judgments are based upon multiple individual and shared components, such as identity and social interaction within the classroom and school. We close with a call for the design of measures of teacher-student self-efficacy systems, so that we can begin to tailor professional development experiences to the goals and motivations of individual and collective groups of teachers and students in ways that accommodate the unique cultural features of their classrooms and foster student self-efficacy.

Self-Efficacy Beliefs, Motivation, Race, and Gender in Middle School Science

NASA Astrophysics Data System (ADS)

Britner, Shari L.; Pajares, Frank

The purpose of this study was to discover whether the science motivation beliefs of middle school students (N = 262) vary as a function of their gender or race/ethnicity and to determine whether science self-efficacy beliefs predict science achievement when motivation variables shown to predict achievement in other academic areas are controlled. Girls reported stronger science self-efficacy and self-efficacy for self-regulation, and they received higher grades in science. Boys had stronger performance-approach goals. White students had stronger self-efficacy and achievement, and African American students reported stronger task goals. Self-efficacy was the only motivation variable to predict the science achievement of girls, boys, and White students. Self-efficacy and self-concept predicted the science achievement of African American students. Results are interpreted from the perspective of Bandura's social cognitive theory.

Pharmacogenomic Approaches for Automated Medication Risk Assessment in People with Polypharmacy

PubMed Central

Liu, Jiazhen; Friedman, Carol; Finkelstein, Joseph

2018-01-01

Abstract Medication regimen may be optimized based on individual drug efficacy identified by pharmacogenomic testing. However, majority of current pharmacogenomic decision support tools provide assessment only of single drug-gene interactions without taking into account complex drug-drug and drug-drug-gene interactions which are prevalent in people with polypharmacy and can result in adverse drug events or insufficient drug efficacy. The main objective of this project was to develop comprehensive pharmacogenomic decision support for medication risk assessment in people with polypharmacy that simultaneously accounts for multiple drug and gene effects. To achieve this goal, the project addressed two aims: (1) development of comprehensive knowledge repository of actionable pharmacogenes; (2) introduction of scoring approaches reflecting potential adverse effect risk levels of complex medication regimens accounting for pharmacogenomic polymorphisms and multiple drug metabolizing pathways. After pharmacogenomic knowledge repository was introduced, a scoring algorithm has been built and pilot-tested using a limited data set. The resulting total risk score for frequently hospitalized older adults with polypharmacy (72.04±17.84) was statistically significantly different (p<0.05) from the total risk score for older adults with polypharmacy with low hospitalization rate (8.98±2.37). An initial prototype assessment demonstrated feasibility of our approach and identified steps for improving risk scoring algorithms.

Reverse Vaccinology: An Approach for Identifying Leptospiral Vaccine Candidates

PubMed Central

Dellagostin, Odir A.; Grassmann, André A.; Rizzi, Caroline; Schuch, Rodrigo A.; Jorge, Sérgio; Oliveira, Thais L.; McBride, Alan J. A.; Hartwig, Daiane D.

2017-01-01

Leptospirosis is a major public health problem with an incidence of over one million human cases each year. It is a globally distributed, zoonotic disease and is associated with significant economic losses in farm animals. Leptospirosis is caused by pathogenic Leptospira spp. that can infect a wide range of domestic and wild animals. Given the inability to control the cycle of transmission among animals and humans, there is an urgent demand for a new vaccine. Inactivated whole-cell vaccines (bacterins) are routinely used in livestock and domestic animals, however, protection is serovar-restricted and short-term only. To overcome these limitations, efforts have focused on the development of recombinant vaccines, with partial success. Reverse vaccinology (RV) has been successfully applied to many infectious diseases. A growing number of leptospiral genome sequences are now available in public databases, providing an opportunity to search for prospective vaccine antigens using RV. Several promising leptospiral antigens were identified using this approach, although only a few have been characterized and evaluated in animal models. In this review, we summarize the use of RV for leptospirosis and discuss the need for potential improvements for the successful development of a new vaccine towards reducing the burden of human and animal leptospirosis. PMID:28098813

A Sparse Reconstruction Approach for Identifying Gene Regulatory Networks Using Steady-State Experiment Data

PubMed Central

Zhang, Wanhong; Zhou, Tong

2015-01-01

Motivation Identifying gene regulatory networks (GRNs) which consist of a large number of interacting units has become a problem of paramount importance in systems biology. Situations exist extensively in which causal interacting relationships among these units are required to be reconstructed from measured expression data and other a priori information. Though numerous classical methods have been developed to unravel the interactions of GRNs, these methods either have higher computing complexities or have lower estimation accuracies. Note that great similarities exist between identification of genes that directly regulate a specific gene and a sparse vector reconstruction, which often relates to the determination of the number, location and magnitude of nonzero entries of an unknown vector by solving an underdetermined system of linear equations y = Φx. Based on these similarities, we propose a novel framework of sparse reconstruction to identify the structure of a GRN, so as to increase accuracy of causal regulation estimations, as well as to reduce their computational complexity. Results In this paper, a sparse reconstruction framework is proposed on basis of steady-state experiment data to identify GRN structure. Different from traditional methods, this approach is adopted which is well suitable for a large-scale underdetermined problem in inferring a sparse vector. We investigate how to combine the noisy steady-state experiment data and a sparse reconstruction algorithm to identify causal relationships. Efficiency of this method is tested by an artificial linear network, a mitogen-activated protein kinase (MAPK) pathway network and the in silico networks of the DREAM challenges. The performance of the suggested approach is compared with two state-of-the-art algorithms, the widely adopted total least-squares (TLS) method and those available results on the DREAM project. Actual results show that, with a lower computational cost, the proposed method can

School Nurses' Perceptions of Self-Efficacy in Providing Diabetes Care

ERIC Educational Resources Information Center

Fisher, Kelly L.

2006-01-01

The purpose of this study was to measure school nurses' perceived self-efficacy in providing diabetes care and education to children and to identify factors that correlate with higher self-efficacy levels in the performance of these tasks. The results of this study revealed that the surveyed school nurses perceived a moderate level of…

Community-based participatory research: a new approach to engaging community members to rapidly call 911 for stroke.

PubMed

Skolarus, Lesli E; Zimmerman, Marc A; Murphy, Jillian; Brown, Devin L; Kerber, Kevin A; Bailey, Sarah; Fowlkes, Sophronia; Morgenstern, Lewis B

2011-07-01

Acute stroke treatments are underutilized primarily because of delayed hospital arrival. Using a community-based participatory research approach, we explored stroke self-efficacy, knowledge, and perceptions of stroke among a predominately African American population in Flint, Michigan. In March 2010, a survey was administered to youth and adults after religious services at 3 churches and during 1 church health day. The survey consisted of vignettes (12 stroke, 4 nonstroke) to assess knowledge of stroke warning signs and behavioral intent to call 911. The survey also assessed stroke self-efficacy, personal knowledge of someone who had experienced a stroke, personal history of stroke, and barriers to calling 911. Linear regression models explored the association of stroke self-efficacy with behavioral intent to call 911 among adults. Two hundred forty-two adults and 90 youths completed the survey. Ninety-two percent of adults and 90% of youth respondents were African American. Responding to 12 stroke vignettes, adults would call 911 in 72% (SD, 0.26) of the vignettes, whereas youths would call 911 in 54% of vignettes (SD, 0.29; P<0.001). Adults correctly identified stroke in 51% (SD, 0.32) of the stroke vignettes and youth correctly identified stroke in 46% (SD, 0.28) of the stroke vignettes (P=0.28). Stroke self-efficacy predicted behavioral intent to call 911 (P=0.046). In addition to knowledge of stroke warning signs, behavioral interventions to increase both stroke self-efficacy and behavioral intent may be useful for helping people make appropriate 911 calls for stroke. A community-based participatory research approach may be effective in reducing stroke disparities.

Translational informatics approach for identifying the functional molecular communicators linking coronary artery disease, infection and inflammation

PubMed Central

SHARMA, ANKIT; GHATGE, MADANKUMAR; MUNDKUR, LAKSHMI; VANGALA, RAJANI KANTH

2016-01-01

Translational informatics approaches are required for the integration of diverse and accumulating data to enable the administration of effective translational medicine specifically in complex diseases such as coronary artery disease (CAD). In the current study, a novel approach for elucidating the association between infection, inflammation and CAD was used. Genes for CAD were collected from the CAD-gene database and those for infection and inflammation were collected from the UniProt database. The cytomegalovirus (CMV)-induced genes were identified from the literature and the CAD-associated clinical phenotypes were obtained from the Unified Medical Language System. A total of 55 gene ontologies (GO) termed functional communicator ontologies were identifed in the gene sets linking clinical phenotypes in the diseasome network. The network topology analysis suggested that important functions including viral entry, cell adhesion, apoptosis, inflammatory and immune responses networked with clinical phenotypes. Microarray data was extracted from the Gene Expression Omnibus (dataset: GSE48060) for highly networked disease myocardial infarction. Further analysis of differentially expressed genes and their GO terms suggested that CMV infection may trigger a xenobiotic response, oxidative stress, inflammation and immune modulation. Notably, the current study identified γ-glutamyl transferase (GGT)-5 as a potential biomarker with an odds ratio of 1.947, which increased to 2.561 following the addition of CMV and CMV-neutralizing antibody (CMV-NA) titers. The C-statistics increased from 0.530 for conventional risk factors (CRFs) to 0.711 for GGT in combination with the above mentioned infections and CRFs. Therefore, the translational informatics approach used in the current study identified a potential molecular mechanism for CMV infection in CAD, and a potential biomarker for risk prediction. PMID:27035874

Discovery of Boolean metabolic networks: integer linear programming based approach.

PubMed

Qiu, Yushan; Jiang, Hao; Ching, Wai-Ki; Cheng, Xiaoqing

2018-04-11

Traditional drug discovery methods focused on the efficacy of drugs rather than their toxicity. However, toxicity and/or lack of efficacy are produced when unintended targets are affected in metabolic networks. Thus, identification of biological targets which can be manipulated to produce the desired effect with minimum side-effects has become an important and challenging topic. Efficient computational methods are required to identify the drug targets while incurring minimal side-effects. In this paper, we propose a graph-based computational damage model that summarizes the impact of enzymes on compounds in metabolic networks. An efficient method based on Integer Linear Programming formalism is then developed to identify the optimal enzyme-combination so as to minimize the side-effects. The identified target enzymes for known successful drugs are then verified by comparing the results with those in the existing literature. Side-effects reduction plays a crucial role in the study of drug development. A graph-based computational damage model is proposed and the theoretical analysis states the captured problem is NP-completeness. The proposed approaches can therefore contribute to the discovery of drug targets. Our developed software is available at " http://hkumath.hku.hk/~wkc/APBC2018-metabolic-network.zip ".

Approaches to Identifying the Emerging Innovative Water Technology Industry in the United States

PubMed Central

WOOD, ALLISON R.; HARTEN, TERESA; GUTIERREZ, SALLY C.

2018-01-01

Clean water is vital to sustaining our natural environment, human health, and our economy. As infrastructure continues to deteriorate and water resources become increasingly threatened, new technologies will be needed to ensure safe and sustainable water in the future. Though the US water industry accounts for approximately 1% gross domestic product and regional “clusters” for water technology exist throughout the country, this emerging industry has not been captured by recent studies. As use of the term “cluster” becomes more prevalent, regional mapping efforts have revealed international differences in definition yet showcase this industry’s economic impact. In reality, institutional processes may inhibit altering industry coding to better describe water technology. Forgoing the benefits of national economic tracking, alternative data sets are available, which may support new ways of identifying these clusters. This work provides cluster definitions; summarizes current approaches to identifying industry activity using data, interviews, and literature; and sets a foundation for future research. PMID:29937546

Approaches to Identifying the Emerging Innovative Water Technology Industry in the United States.

PubMed

Wood, Allison R; Harten, Teresa; Gutierrez, Sally C

2018-04-25

Clean water is vital to sustaining our natural environment, human health, and our economy. As infrastructure continues to deteriorate and water resources become increasingly threatened, new technologies will be needed to ensure safe and sustainable water in the future. Though the US water industry accounts for approximately 1% gross domestic product and regional "clusters" for water technology exist throughout the country, this emerging industry has not been captured by recent studies. As use of the term "cluster" becomes more prevalent, regional mapping efforts have revealed international differences in definition yet showcase this industry's economic impact. In reality, institutional processes may inhibit altering industry coding to better describe water technology. Forgoing the benefits of national economic tracking, alternative data sets are available, which may support new ways of identifying these clusters. This work provides cluster definitions; summarizes current approaches to identifying industry activity using data, interviews, and literature; and sets a foundation for future research.

Evaluating the efficacy of fully automated approaches for the selection of eye blink ICA components

PubMed Central

Pontifex, Matthew B.; Miskovic, Vladimir; Laszlo, Sarah

2017-01-01

Independent component analysis (ICA) offers a powerful approach for the isolation and removal of eye blink artifacts from EEG signals. Manual identification of the eye blink ICA component by inspection of scalp map projections, however, is prone to error, particularly when non-artifactual components exhibit topographic distributions similar to the blink. The aim of the present investigation was to determine the extent to which automated approaches for selecting eye blink related ICA components could be utilized to replace manual selection. We evaluated popular blink selection methods relying on spatial features [EyeCatch()], combined stereotypical spatial and temporal features [ADJUST()], and a novel method relying on time-series features alone [icablinkmetrics()] using both simulated and real EEG data. The results of this investigation suggest that all three methods of automatic component selection are able to accurately identify eye blink related ICA components at or above the level of trained human observers. However, icablinkmetrics(), in particular, appears to provide an effective means of automating ICA artifact rejection while at the same time eliminating human errors inevitable during manual component selection and false positive component identifications common in other automated approaches. Based upon these findings, best practices for 1) identifying artifactual components via automated means and 2) reducing the accidental removal of signal-related ICA components are discussed. PMID:28191627

Inhibition of p-STAT3 Enhances IFN-α Efficacy Against Metastatic Melanoma in a Murine Model

PubMed Central

Kong, Ling-Yuan; Gelbard, Alexander; Wei, Jun; Reina-Ortiz, Chantal; Wang, Yongtao; Yang, Eric C.; Hailemichael, Yared; Fokt, Izabela; Jayakumar, Arumugam; Qiao, Wei; Fuller, Gregory N.; Overwijk, Willem W.; Priebe, Waldemar; Heimberger, Amy B.

2010-01-01

Purpose Melanoma is a common and deadly tumor that upon metastasis to the central nervous system (CNS) has a median survival duration of less than 6 months. Activation of the signal transducer and activator of transcription 3 (STAT3) has been identified as a key mediator that drives the fundamental components of melanoma malignancy, including immune suppression in melanoma patients. We hypothesized that WP1193, a novel inhibitor of STAT3 signaling, would enhance the anti-tumor activity of IFN-α against metastatic melanoma. Experimental Design Combinational therapy of STAT3 blockade agents with IFN-α was investigated in a metastatic and an established syngeneic intracerebral murine tumor model of melanoma. The immunological in vivo mechanisms of efficacy were investigated by T cell and NK cell cytotoxic assays. Results IFN-α immunotherapy was synergistic with WP1193 demonstrating marked in vivo efficacy against metastatic and established intracerebral melanoma. At autopsy, it was noted that there was a decreased trend in mice with melanoma developing leptomeningeal disease (LMD) treated with combinational therapy. The combinational approach enhanced both NK and T cell-mediated anti-tumor cytotoxicity. Conclusions The immune modulatory effects of STAT3 blockade can enhance the therapeutic efficacy of IFN-α immunotherapy by enhancing both innate and adaptive cytotoxic T cell activities. This combination therapy has the potential in the treatment of metastatic melanoma that is typically refractory to this type of immune therapeutic approach. PMID:20388845

A linear programming computational framework integrates phosphor-proteomics and prior knowledge to predict drug efficacy.

PubMed

Ji, Zhiwei; Wang, Bing; Yan, Ke; Dong, Ligang; Meng, Guanmin; Shi, Lei

2017-12-21

In recent years, the integration of 'omics' technologies, high performance computation, and mathematical modeling of biological processes marks that the systems biology has started to fundamentally impact the way of approaching drug discovery. The LINCS public data warehouse provides detailed information about cell responses with various genetic and environmental stressors. It can be greatly helpful in developing new drugs and therapeutics, as well as improving the situations of lacking effective drugs, drug resistance and relapse in cancer therapies, etc. In this study, we developed a Ternary status based Integer Linear Programming (TILP) method to infer cell-specific signaling pathway network and predict compounds' treatment efficacy. The novelty of our study is that phosphor-proteomic data and prior knowledge are combined for modeling and optimizing the signaling network. To test the power of our approach, a generic pathway network was constructed for a human breast cancer cell line MCF7; and the TILP model was used to infer MCF7-specific pathways with a set of phosphor-proteomic data collected from ten representative small molecule chemical compounds (most of them were studied in breast cancer treatment). Cross-validation indicated that the MCF7-specific pathway network inferred by TILP were reliable predicting a compound's efficacy. Finally, we applied TILP to re-optimize the inferred cell-specific pathways and predict the outcomes of five small compounds (carmustine, doxorubicin, GW-8510, daunorubicin, and verapamil), which were rarely used in clinic for breast cancer. In the simulation, the proposed approach facilitates us to identify a compound's treatment efficacy qualitatively and quantitatively, and the cross validation analysis indicated good accuracy in predicting effects of five compounds. In summary, the TILP model is useful for discovering new drugs for clinic use, and also elucidating the potential mechanisms of a compound to targets.

Efficacy and Physicochemical Evaluation of an Optimized Semisolid Formulation of Povidone Iodine Proposed by Extreme Vertices Statistical Design; a Practical Approach

PubMed Central

Lotfipour, Farzaneh; Valizadeh, Hadi; Shademan, Shahin; Monajjemzadeh, Farnaz

2015-01-01

One of the most significant issues in pharmaceutical industries, prior to commercialization of a pharmaceutical preparation is the "preformulation" stage. However, far too attention has been paid to verification of the software assisted statistical designs in preformulation studies. The main aim of this study was to report a step by step preformulation approach for a semisolid preparation based on a statistical mixture design and to verify the predictions made by the software with an in-vitro efficacy bioassay test. Extreme vertices mixture design (4 factors, 4 levels) was applied for preformulation of a semisolid Povidone Iodine preparation as Water removable ointment using different PolyEthylenGlycoles. Software Assisted (Minitab) analysis was then performed using four practically assessed response values including; Available iodine, viscosity (N index and yield value) and water absorption capacity. Subsequently mixture analysis was performed and finally, an optimized formulation was proposed. The efficacy of this formulation was bio-assayed using microbial tests in-vitro and MIC values were calculated for Escherichia coli, pseudomonaaeruginosa, staphylococcus aureus and Candida albicans. Results indicated the acceptable conformity of the measured responses. Thus, it can be concluded that the proposed design had an adequate power to predict the responses in practice. Stability studies, proved no significant change during the one year study for the optimized formulation. Efficacy was eligible on all tested species and in the case of staphylococcus aureus; the prepared semisolid formulation was even more effective. PMID:26664368

Canadian In-Service Teachers' Concerns, Efficacy, and Attitudes about Inclusive Teaching

ERIC Educational Resources Information Center

Sokal, Laura; Sharma, Umesh

2014-01-01

The study examined concerns, attitudes, and teacher efficacy of 131 in-service, Kindergarten to Grade 8 teachers in three school divisions in Manitoba, Canada. Analyses were conducted to identify the relationships between teachers' back-ground variables, their attitudes and concerns about teaching in inclusive classrooms, and their efficacy for…

Identifying determinants of medication adherence following myocardial infarction using the Theoretical Domains Framework and the Health Action Process Approach.

PubMed

Presseau, Justin; Schwalm, J D; Grimshaw, Jeremy M; Witteman, Holly O; Natarajan, Madhu K; Linklater, Stefanie; Sullivan, Katrina; Ivers, Noah M

2017-10-01

Despite evidence-based recommendations, adherence with secondary prevention medications post-myocardial infarction (MI) remains low. Taking medication requires behaviour change, and using behavioural theories to identify what factors determine adherence could help to develop novel adherence interventions. Compare the utility of different behaviour theory-based approaches for identifying modifiable determinants of medication adherence post-MI that could be targeted by interventions. Two studies were conducted with patients 0-2, 3-12, 13-24 or 25-36 weeks post-MI. Study 1: 24 patients were interviewed about barriers and facilitators to medication adherence. Interviews were conducted and coded using the Theoretical Domains Framework. Study 2: 201 patients answered a telephone questionnaire assessing Health Action Process Approach constructs to predict intention and medication adherence (MMAS-8). Study 1: domains identified: Beliefs about Consequences, Memory/Attention/Decision Processes, Behavioural Regulation, Social Influences and Social Identity. Study 2: 64, 59, 42 and 58% reported high adherence at 0-2, 3-12, 13-24 and 25-36 weeks. Social Support and Action Planning predicted adherence at all time points, though the relationship between Action Planning and adherence decreased over time. Using two behaviour theory-based approaches provided complimentary findings and identified modifiable factors that could be targeted to help translate Intention into action to improve medication adherence post-MI.

A phase coherence approach to identifying co-located earthquakes and tremor

NASA Astrophysics Data System (ADS)

Hawthorne, J. C.; Ampuero, J.-P.

2018-05-01

We present and use a phase coherence approach to identify seismic signals that have similar path effects but different source time functions: co-located earthquakes and tremor. The method used is a phase coherence-based implementation of empirical matched field processing, modified to suit tremor analysis. It works by comparing the frequency-domain phases of waveforms generated by two sources recorded at multiple stations. We first cross-correlate the records of the two sources at a single station. If the sources are co-located, this cross-correlation eliminates the phases of the Green's function. It leaves the relative phases of the source time functions, which should be the same across all stations so long as the spatial extent of the sources are small compared with the seismic wavelength. We therefore search for cross-correlation phases that are consistent across stations as an indication of co-located sources. We also introduce a method to obtain relative locations between the two sources, based on back-projection of interstation phase coherence. We apply this technique to analyse two tremor-like signals that are thought to be composed of a number of earthquakes. First, we analyse a 20 s long seismic precursor to a M 3.9 earthquake in central Alaska. The analysis locates the precursor to within 2 km of the mainshock, and it identifies several bursts of energy—potentially foreshocks or groups of foreshocks—within the precursor. Second, we examine several minutes of volcanic tremor prior to an eruption at Redoubt Volcano. We confirm that the tremor source is located close to repeating earthquakes identified earlier in the tremor sequence. The amplitude of the tremor diminishes about 30 s before the eruption, but the phase coherence results suggest that the tremor may persist at some level through this final interval.

A physarum-inspired prize-collecting steiner tree approach to identify subnetworks for drug repositioning.

PubMed

Sun, Yahui; Hameed, Pathima Nusrath; Verspoor, Karin; Halgamuge, Saman

2016-12-05

Drug repositioning can reduce the time, costs and risks of drug development by identifying new therapeutic effects for known drugs. It is challenging to reposition drugs as pharmacological data is large and complex. Subnetwork identification has already been used to simplify the visualization and interpretation of biological data, but it has not been applied to drug repositioning so far. In this paper, we fill this gap by proposing a new Physarum-inspired Prize-Collecting Steiner Tree algorithm to identify subnetworks for drug repositioning. Drug Similarity Networks (DSN) are generated using the chemical, therapeutic, protein, and phenotype features of drugs. In DSNs, vertex prizes and edge costs represent the similarities and dissimilarities between drugs respectively, and terminals represent drugs in the cardiovascular class, as defined in the Anatomical Therapeutic Chemical classification system. A new Physarum-inspired Prize-Collecting Steiner Tree algorithm is proposed in this paper to identify subnetworks. We apply both the proposed algorithm and the widely-used GW algorithm to identify subnetworks in our 18 generated DSNs. In these DSNs, our proposed algorithm identifies subnetworks with an average Rand Index of 81.1%, while the GW algorithm can only identify subnetworks with an average Rand Index of 64.1%. We select 9 subnetworks with high Rand Index to find drug repositioning opportunities. 10 frequently occurring drugs in these subnetworks are identified as candidates to be repositioned for cardiovascular diseases. We find evidence to support previous discoveries that nitroglycerin, theophylline and acarbose may be able to be repositioned for cardiovascular diseases. Moreover, we identify seven previously unknown drug candidates that also may interact with the biological cardiovascular system. These discoveries show our proposed Prize-Collecting Steiner Tree approach as a promising strategy for drug repositioning.

Identifying an influential spreader from a single seed in complex networks via a message-passing approach

NASA Astrophysics Data System (ADS)

Min, Byungjoon

2018-01-01

Identifying the most influential spreaders is one of outstanding problems in physics of complex systems. So far, many approaches have attempted to rank the influence of nodes but there is still the lack of accuracy to single out influential spreaders. Here, we directly tackle the problem of finding important spreaders by solving analytically the expected size of epidemic outbreaks when spreading originates from a single seed. We derive and validate a theory for calculating the size of epidemic outbreaks with a single seed using a message-passing approach. In addition, we find that the probability to occur epidemic outbreaks is highly dependent on the location of the seed but the size of epidemic outbreaks once it occurs is insensitive to the seed. We also show that our approach can be successfully adapted into weighted networks.

A Virtual Screening Approach For Identifying Plants with Anti H5N1 Neuraminidase Activity

PubMed Central

2016-01-01

Recent outbreaks of highly pathogenic and occasional drug-resistant influenza strains have highlighted the need to develop novel anti-influenza therapeutics. Here, we report computational and experimental efforts to identify influenza neuraminidase inhibitors from among the 3000 natural compounds in the Malaysian-Plants Natural-Product (NADI) database. These 3000 compounds were first docked into the neuraminidase active site. The five plants with the largest number of top predicted ligands were selected for experimental evaluation. Twelve specific compounds isolated from these five plants were shown to inhibit neuraminidase, including two compounds with IC50 values less than 92 μM. Furthermore, four of the 12 isolated compounds had also been identified in the top 100 compounds from the virtual screen. Together, these results suggest an effective new approach for identifying bioactive plant species that will further the identification of new pharmacologically active compounds from diverse natural-product resources. PMID:25555059

Identifying Useful Auxiliary Variables for Incomplete Data Analyses: A Note on a Group Difference Examination Approach

ERIC Educational Resources Information Center

Raykov, Tenko; Marcoulides, George A.

2014-01-01

This research note contributes to the discussion of methods that can be used to identify useful auxiliary variables for analyses of incomplete data sets. A latent variable approach is discussed, which is helpful in finding auxiliary variables with the property that if included in subsequent maximum likelihood analyses they may enhance considerably…

An Integrative Genetics Approach to Identify Candidate Genes Regulating BMD: Combining Linkage, Gene Expression, and Association

PubMed Central

Farber, Charles R; van Nas, Atila; Ghazalpour, Anatole; Aten, Jason E; Doss, Sudheer; Sos, Brandon; Schadt, Eric E; Ingram-Drake, Leslie; Davis, Richard C; Horvath, Steve; Smith, Desmond J; Drake, Thomas A; Lusis, Aldons J

2009-01-01

Numerous quantitative trait loci (QTLs) affecting bone traits have been identified in the mouse; however, few of the underlying genes have been discovered. To improve the process of transitioning from QTL to gene, we describe an integrative genetics approach, which combines linkage analysis, expression QTL (eQTL) mapping, causality modeling, and genetic association in outbred mice. In C57BL/6J × C3H/HeJ (BXH) F2 mice, nine QTLs regulating femoral BMD were identified. To select candidate genes from within each QTL region, microarray gene expression profiles from individual F2 mice were used to identify 148 genes whose expression was correlated with BMD and regulated by local eQTLs. Many of the genes that were the most highly correlated with BMD have been previously shown to modulate bone mass or skeletal development. Candidates were further prioritized by determining whether their expression was predicted to underlie variation in BMD. Using network edge orienting (NEO), a causality modeling algorithm, 18 of the 148 candidates were predicted to be causally related to differences in BMD. To fine-map QTLs, markers in outbred MF1 mice were tested for association with BMD. Three chromosome 11 SNPs were identified that were associated with BMD within the Bmd11 QTL. Finally, our approach provides strong support for Wnt9a, Rasd1, or both underlying Bmd11. Integration of multiple genetic and genomic data sets can substantially improve the efficiency of QTL fine-mapping and candidate gene identification. PMID:18767929

Treatment of Phobic Disorders Using Cognitive and Exposure Methods: A Self-Efficacy Analysis.

ERIC Educational Resources Information Center

Biran, Mia; Wilson, G. Terence

1981-01-01

Examined predictions derived from self-efficacy theory in comparing the effects of exposure and cognitive interventions with simple phobics. Guided exposure (GE) was significantly superior to cognitive restructuring (CR) in enhancing approach behavior, increasing level and strength of self-efficacy, reducing subjective fear, and decreasing…

Assessment of Self-Efficacy and its Relationship with Frailty in the Elderly

PubMed Central

Doba, Nobutaka; Tokuda, Yasuharu; Saiki, Keiichirou; Kushiro, Toshio; Hirano, Masumi; Matsubara, Yoshihiro; Hinohara, Shigeaki

2016-01-01

Objective It has been increasingly recognized in various clinical areas that self-efficacy promotes the level of competence in patients. The validity, applicability and potential usefulness of a new, simple model for assessing self-efficacy in the elderly with special reference to frailty were investigated for improving elderly patients' accomplishments. Methods The subjects of the present study comprised 257 elderly people who were members of the New Elder Citizen Movement in Japan and their mean age was 82.3±3.8 years. Interview materials including self-efficacy questionnaires were sent to all participants in advance and all other physical examinations were performed at the Life Planning Center Clinic. Results The internal consistency and close relation among a set of items used as a measure of self-efficacy were evaluated by Cronbach's alpha index, which was 0.79. Although no age-dependent difference was identified in either sex, gender-related differences in some factors were noted. Regarding several parametric parameters, Beck's inventory alone revealed a significant relationship to self-efficacy in both sexes. Additionally, non-parametric items such as stamina, power and memory were strongly correlated with self-efficacy in both sexes. Frailty showed a significant independent relationship with self-efficacy in a multiple linear regression model analysis and using Beck's inventory, stamina, power and memory were identified to be independent factors for self-efficacy. Conclusion The simple assessment of self-efficacy described in this study may be a useful tool for successful aging of elderly people. PMID:27725537

Sources of Self-Efficacy in a Science Methods Course for Primary Teacher Education Students

ERIC Educational Resources Information Center

Palmer, D. H.

2006-01-01

Self-efficacy has been shown to be an issue of concern for primary teacher education students--many of them have low self-efficacy and this can negatively affect their future teaching of science. Previous research has identified four factors that may contribute towards self-efficacy: enactive mastery experiences, vicarious experiences, verbal…

Chemical proteomics approaches for identifying the cellular targets of natural products

PubMed Central

Sieber, S. A.

2016-01-01

Covering: 2010 up to 2016 Deconvoluting the mode of action of natural products and drugs remains one of the biggest challenges in chemistry and biology today. Chemical proteomics is a growing area of chemical biology that seeks to design small molecule probes to understand protein function. In the context of natural products, chemical proteomics can be used to identify the protein binding partners or targets of small molecules in live cells. Here, we highlight recent examples of chemical probes based on natural products and their application for target identification. The review focuses on probes that can be covalently linked to their target proteins (either via intrinsic chemical reactivity or via the introduction of photocrosslinkers), and can be applied “in situ” – in living systems rather than cell lysates. We also focus here on strategies that employ a click reaction, the copper-catalysed azide–alkyne cycloaddition reaction (CuAAC), to allow minimal functionalisation of natural product scaffolds with an alkyne or azide tag. We also discuss ‘competitive mode’ approaches that screen for natural products that compete with a well-characterised chemical probe for binding to a particular set of protein targets. Fuelled by advances in mass spectrometry instrumentation and bioinformatics, many modern strategies are now embracing quantitative proteomics to help define the true interacting partners of probes, and we highlight the opportunities this rapidly evolving technology provides in chemical proteomics. Finally, some of the limitations and challenges of chemical proteomics approaches are discussed. PMID:27098809

Chemical proteomics approaches for identifying the cellular targets of natural products.

PubMed

Wright, M H; Sieber, S A

2016-05-04

Covering: 2010 up to 2016Deconvoluting the mode of action of natural products and drugs remains one of the biggest challenges in chemistry and biology today. Chemical proteomics is a growing area of chemical biology that seeks to design small molecule probes to understand protein function. In the context of natural products, chemical proteomics can be used to identify the protein binding partners or targets of small molecules in live cells. Here, we highlight recent examples of chemical probes based on natural products and their application for target identification. The review focuses on probes that can be covalently linked to their target proteins (either via intrinsic chemical reactivity or via the introduction of photocrosslinkers), and can be applied "in situ" - in living systems rather than cell lysates. We also focus here on strategies that employ a click reaction, the copper-catalysed azide-alkyne cycloaddition reaction (CuAAC), to allow minimal functionalisation of natural product scaffolds with an alkyne or azide tag. We also discuss 'competitive mode' approaches that screen for natural products that compete with a well-characterised chemical probe for binding to a particular set of protein targets. Fuelled by advances in mass spectrometry instrumentation and bioinformatics, many modern strategies are now embracing quantitative proteomics to help define the true interacting partners of probes, and we highlight the opportunities this rapidly evolving technology provides in chemical proteomics. Finally, some of the limitations and challenges of chemical proteomics approaches are discussed.

Financial Stress, Self-Efficacy, and Financial Help-Seeking Behavior of College Students

ERIC Educational Resources Information Center

Lim, HanNa; Heckman, Stuart J.; Letkiewicz, Jodi C.; Montalto, Catherine P.

2014-01-01

Financial stress and self-efficacy are examined in relationship to college students' financial help-seeking behavior utilizing Grable and Joo's (1999) framework. A cognitive approach is taken by focusing on the moderating role of financial self-efficacy on the relationship between financial stress and financial help-seeking. Data from the 2010…

The Efficacy of Cognitive Behavioral Therapy: A Review of Meta-analyses

PubMed Central

Hofmann, Stefan G.; Asnaani, Anu; Vonk, Imke J.J.; Sawyer, Alice T.; Fang, Angela

2012-01-01

Cognitive behavioral therapy (CBT) refers to a popular therapeutic approach that has been applied to a variety of problems. The goal of this review was to provide a comprehensive survey of meta-analyses examining the efficacy of CBT. We identified 269 meta-analytic studies and reviewed of those a representative sample of 106 meta-analyses examining CBT for the following problems: substance use disorder, schizophrenia and other psychotic disorders, depression and dysthymia, bipolar disorder, anxiety disorders, somatoform disorders, eating disorders, insomnia, personality disorders, anger and aggression, criminal behaviors, general stress, distress due to general medical conditions, chronic pain and fatigue, distress related to pregnancy complications and female hormonal conditions. Additional meta-analytic reviews examined the efficacy of CBT for various problems in children and elderly adults. The strongest support exists for CBT of anxiety disorders, somatoform disorders, bulimia, anger control problems, and general stress. Eleven studies compared response rates between CBT and other treatments or control conditions. CBT showed higher response rates than the comparison conditions in 7 of these reviews and only one review reported that CBT had lower response rates than comparison treatments. In general, the evidence-base of CBT is very strong. However, additional research is needed to examine the efficacy of CBT for randomized-controlled studies. Moreover, except for children and elderly populations, no meta-analytic studies of CBT have been reported on specific subgroups, such as ethnic minorities and low income samples. PMID:23459093

Connection Map for Compounds (CMC): A Server for Combinatorial Drug Toxicity and Efficacy Analysis.

PubMed

Liu, Lei; Tsompana, Maria; Wang, Yong; Wu, Dingfeng; Zhu, Lixin; Zhu, Ruixin

2016-09-26

Drug discovery and development is a costly and time-consuming process with a high risk for failure resulting primarily from a drug's associated clinical safety and efficacy potential. Identifying and eliminating inapt candidate drugs as early as possible is an effective way for reducing unnecessary costs, but limited analytical tools are currently available for this purpose. Recent growth in the area of toxicogenomics and pharmacogenomics has provided with a vast amount of drug expression microarray data. Web servers such as CMap and LTMap have used this information to evaluate drug toxicity and mechanisms of action independently; however, their wider applicability has been limited by the lack of a combinatorial drug-safety type of analysis. Using available genome-wide drug transcriptional expression profiles, we developed the first web server for combinatorial evaluation of toxicity and efficacy of candidate drugs named "Connection Map for Compounds" (CMC). Using CMC, researchers can initially compare their query drug gene signatures with prebuilt gene profiles generated from two large-scale toxicogenomics databases, and subsequently perform a drug efficacy analysis for identification of known mechanisms of drug action or generation of new predictions. CMC provides a novel approach for drug repositioning and early evaluation in drug discovery with its unique combination of toxicity and efficacy analyses, expansibility of data and algorithms, and customization of reference gene profiles. CMC can be freely accessed at http://cadd.tongji.edu.cn/webserver/CMCbp.jsp .

Pterional approach versus unilateral frontal approach on tuberculum sellae meningioma: Single centre experiences

PubMed Central

Arifin, Muhammad Zafrullah; Mardjono, Ignatius; Sidabutar, Roland; Wirjomartani, Beny Atmadja; Faried, Ahmad

2012-01-01

Introduction: Tuberculum Sellae Meningioma is one of the most challenging surgeries among neurosurgeons. Many approaches have been established in the effort of removing the tumor and some of them are supported by an advanced neurosurgical technology. In this study, we aim to compare the efficacy of the two most common approaches, the pterional and the unilateral frontal. Materials and Methods: This was a restrospective study that aimed to observe the efficacy of the two most common approaches used in our center, the pterional and the unilateral frontal, in resecting the tuberculum sellae meningioma, which was held in Dr. Hasan Sadikin General Hospital, Bandung, from July 2007-July 2010. Twenty patients were enrolled with half of them operated by the pterional approach and the rest by unilateral frontal approach. We evaluated six parameters: tumor size, degree of tumor removal, surgery duration, post-operative cerebral edema, patients' outcome, and length of stay, which were evaluated to take measure of the efficacy of each procedure. Results: We found that the pterional approach gave more advantages than the unilateral frontal. Total tumor removal, especially in tumor size ≥ 3 cm was achieved in a greater number of subjects in the pterional (P<0.023). Other advantages of the pterional compared to the unilateral frontal were a shorter surgical duration (P=0.024), shorter length of stay (P=0.009) and less frequency of post-operative cerebral edema incidence (P=0.023). Conclusion: According to our facilities and conditions, it seems that the pterional approach have more advantages than the unilateral frontal approach in tuberculum sellae meningioma surgery. PMID:22639687

Terrorism and hazardous material trucking: promoting perceived collective efficacy for terrorism prevention.

PubMed

James, Keith

2008-01-01

Hazardous-material trucking has recently been identified as an area of high potential risk for terrorism. Some recent theory and case study papers have argued for the importance of collective efficacy to disaster-response, terrorism prevention, and other rare-but-risky events. Therefore, a study based on the collective efficacy literature was done to test an intervention for increasing perceived collective efficacy for terrorism prevention among Canadian hazardous-material truck drivers. Results supported the impact of the intervention in increasing perceived efficacy for terrorism prevention. Implications for theory, research, and application are discussed.

To be or not to be associated: power study of four statistical modeling approaches to identify parasite associations in cross-sectional studies

PubMed Central

Vaumourin, Elise; Vourc'h, Gwenaël; Telfer, Sandra; Lambin, Xavier; Salih, Diaeldin; Seitzer, Ulrike; Morand, Serge; Charbonnel, Nathalie; Vayssier-Taussat, Muriel; Gasqui, Patrick

2014-01-01

A growing number of studies are reporting simultaneous infections by parasites in many different hosts. The detection of whether these parasites are significantly associated is important in medicine and epidemiology. Numerous approaches to detect associations are available, but only a few provide statistical tests. Furthermore, they generally test for an overall detection of association and do not identify which parasite is associated with which other one. Here, we developed a new approach, the association screening approach, to detect the overall and the detail of multi-parasite associations. We studied the power of this new approach and of three other known ones (i.e., the generalized chi-square, the network and the multinomial GLM approaches) to identify parasite associations either due to parasite interactions or to confounding factors. We applied these four approaches to detect associations within two populations of multi-infected hosts: (1) rodents infected with Bartonella sp., Babesia microti and Anaplasma phagocytophilum and (2) bovine population infected with Theileria sp. and Babesia sp. We found that the best power is obtained with the screening model and the generalized chi-square test. The differentiation between associations, which are due to confounding factors and parasite interactions was not possible. The screening approach significantly identified associations between Bartonella doshiae and B. microti, and between T. parva, T. mutans, and T. velifera. Thus, the screening approach was relevant to test the overall presence of parasite associations and identify the parasite combinations that are significantly over- or under-represented. Unraveling whether the associations are due to real biological interactions or confounding factors should be further investigated. Nevertheless, in the age of genomics and the advent of new technologies, it is a considerable asset to speed up researches focusing on the mechanisms driving interactions between

Perceived sources of change in trainees' self-efficacy beliefs.

PubMed

Lent, Robert W; Cinamon, Rachel Gali; Bryan, Nicole A; Jezzi, Matthew M; Martin, Helena M; Lim, Robert

2009-09-01

Thought-listing procedures were used to examine the perceived incidence, size, direction, and bases of change in the session-level self-efficacy of therapists in training. Ninety-eight Master's-level trainees completed a cognitive assessment task immediately after each session with a client in their first practicum. Participants typically reported modest-sized, positive changes in their therapeutic self-efficacy at each session. Seven perceived sources of change in self-efficacy were identified. Some of these sources (e.g., trainees' performance evaluations, affective reactions) were consistent with general self-efficacy theory; others reflected the interpersonal performance context of therapy (e.g., perceptions of the therapeutic relationship and client behavior). Implications of the findings for training and future research on therapist development are considered. (PsycINFO Database Record (c) 2010 APA, all rights reserved).

Job-Embedded Professional Development: Its Impact on Teacher Self-Efficacy and Student Performance

ERIC Educational Resources Information Center

Althauser, Krista

2015-01-01

A quantitative approach was used to investigate the impact of a district-wide, job-embedded mathematics professional development program on elementary teachers' general and personal efficacy. This investigation was based on the principles of mathematics professional development, efficacy theory, and student achievement. It was designed to…

Determinants of self-efficacy and quality of life in patients with temporary enterostomy: a cross-sectional survey.

PubMed

Su, Xi; Zhen, Li; Zhu, Mulan; Kuang, Yinyi; Qin, Fang; Ye, Xinmei; Yin, Xuexia; Wang, Huizhen

2017-02-01

To identify determinants of self-efficacy and quality of life in patients with temporary enterostomy. Anterior resection with temporary enterostomy is the preferred treatment for patients with rectal cancer, which may impair patients' quality of life. So far, most studies have focused on quality of life in patients with permanent enterostomy, but few studies have looked at that in those with temporary enterostomy. Self-efficacy may determine quality of life in these patients, but few studies have identified determinants of self-efficacy and quality of life. Multicentre, cross-sectional survey and regression analysis to identify determinants of self-efficacy and quality of life. A convenience sample of patients undergoing temporary enterostomy at five hospitals in Guangdong Province (China) were surveyed at least four weeks after stoma surgery using validated Chinese versions of internationally recognised questionnaires, including a Stoma Self-Efficacy Scale and the City of Hope Quality of Life-Ostomy Questionnaire. Backward multiple regression analysis was performed to identify whether quality of life was determined by self-efficacy and other clinico-demographic characteristics. Of the 180 questionnaires distributed, 149 (82·8%) were returned, and 135 (75%) were used in the final analysis. Mean global quality of life was 5·40 ± 1·58, and mean global self-efficacy was 79·59 ± 20·21. Significant determinants of self-efficacy and quality of life were identified (β = 0·62, p < 0·01). Quality of life was determined by type of enterostomy (β = 0·18, p = 0·01) and payment method (β = 0·14, p = 0·03). Quality of life may be determined by self-efficacy, type of enterostomy and payment method, after temporary enterostomy. Promoting stoma-related self-efficacy in patients with temporary enterostomy may improve their quality of life. Healthcare providers should focus on quality of life in those either with temporary loop ileostomy or entirely

Parental self-efficacy and its measurement - an evaluation of a parental self-efficacy measurement scale.

PubMed

Purssell, Edward; While, Alison

2013-05-01

To field test a parental self-efficacy scale regarding its acceptability and feasibility and to describe parental self-efficacy in a convenience sample of parents with children aged 6 years old or less. Self-care within families is increasingly emphasised in health policy as a means of maximising healthcare resources. This study reports the field testing of a scale designed to measure parental self-efficacy. Cross-sectional survey of parents of children aged 6 years old or less. Subjects were recruited through a parenting internet website (n = 84) and local parenting and community organisations (n = 68) and asked to complete a questionnaire containing the scale. Data collection took place between January and August 2011. The scale, previously validated with an expert panel of professionals, gathered information about parental self-efficacy when administered either directly or through an on-line data collection portal, although there were more missing data when administered via the Internet. Although convenience and self-selecting samples precluded parameter estimation, areas of concern highlighted were difficulties differentiating children with serious illnesses and the use of the Personal Child Health Record. Use of the Internet was widespread, as was use of community pharmacists and nursery staff. Although the primary purpose was not to collect specific data, the data indicated the continuing concern of parents regarding serious illness and where additional investment may be required to meet parental needs and expectations. The previously validated scale can be used to collect information about parental self-efficacy either through a paper questionnaire or the Internet. Although there was slightly more missing data from the Internet version, the ease of its administration makes this an attractive option. Parents generally reported high levels of self-efficacy and satisfaction with services; however, the scale was able to identify areas where further investment

Efficacy and Safety of Antiintegrin Antibody for Inflammatory Bowel Disease

PubMed Central

Lin, Lianjie; Liu, Xiang; Wang, Dongxu; Zheng, Changqing

2015-01-01

Abstract We sought to evaluate the safety and efficacy of available biologics that inhibit T-cell migration by blocking α4β7 integrins in inflammatory bowel diseases. The aim of this study is to evaluate whether Crohn disease (CD) patients receiving either vedolizumab or natalizumab have any different effect in CD Activity Index (CDAI). Using Medline, Excerpta Medica dataBASE, Cochrane Central Register of Controlled Trials (CENTRAL), and Google Scholar until October 31, 2013, we identified 10 studies examining the safety and efficacy of specific integrin inhibitors—vedolizumab, which targets an epitope comprising the α4β7 heterodimer; natalizumab, which recognizes the α4 integrin subunit; etrolizumab, which is specific for the β7 subunit—in the treatment of CD and ulcerative colitis (UC). CD patients receiving either vedolizumab or natalizumab demonstrated a modest increase in remission rate, when compared with that of the placebo group. Further, although both treatments reduced the CDAI slightly, the observed clinical response was less robust than that of the remission rate. UC patients treated with vedolizumab and natalizumab were found to show more prominent increases in both remission and clinical response, compared with placebo, than patients with CD. Etrolizumab, however, was not found to significantly affect either response or remission rates in UC patients. Biologics targeting integrins show promise as therapeutics in the treatment of inflammatory bowel disease in patients who are either nonresponsive or intolerant to traditional approaches, though further research is necessary to optimize treatment efficacies. PMID:25761174

Therapeutic approaches for celiac disease

PubMed Central

Plugis, Nicholas M.; Khosla, Chaitan

2015-01-01

Celiac disease is a common, lifelong autoimmune disorder for which dietary control is the only accepted form of therapy. A strict gluten-free diet is burdensome to patients and can be limited in efficacy, indicating there is an unmet need for novel therapeutic approaches to supplement or supplant dietary therapy. Many molecular events required for disease pathogenesis have been recently characterized and inspire most current and emerging drug-discovery efforts. Genome-wide association studies (GWAS) confirm the importance of human leukocyte antigen genes in our pathogenic model and identify a number of new risk loci in this complex disease. Here, we review the status of both emerging and potential therapeutic strategies in the context of disease pathophysiology. We conclude with a discussion of how genes identified during GWAS and follow-up studies that enhance susceptibility may offer insight into developing novel therapies. PMID:26060114

Assessment of Safety and Functional Efficacy of Stem Cell-Based Therapeutic Approaches Using Retinal Degenerative Animal Models

PubMed Central

Lin, Tai-Chi; Zhu, Danhong; Hinton, David R.; Clegg, Dennis O.; Humayun, Mark S.

2017-01-01

Dysfunction and death of retinal pigment epithelium (RPE) and or photoreceptors can lead to irreversible vision loss. The eye represents an ideal microenvironment for stem cell-based therapy. It is considered an “immune privileged” site, and the number of cells needed for therapy is relatively low for the area of focused vision (macula). Further, surgical placement of stem cell-derived grafts (RPE, retinal progenitors, and photoreceptor precursors) into the vitreous cavity or subretinal space has been well established. For preclinical tests, assessments of stem cell-derived graft survival and functionality are conducted in animal models by various noninvasive approaches and imaging modalities. In vivo experiments conducted in animal models based on replacing photoreceptors and/or RPE cells have shown survival and functionality of the transplanted cells, rescue of the host retina, and improvement of visual function. Based on the positive results obtained from these animal experiments, human clinical trials are being initiated. Despite such progress in stem cell research, ethical, regulatory, safety, and technical difficulties still remain a challenge for the transformation of this technique into a standard clinical approach. In this review, the current status of preclinical safety and efficacy studies for retinal cell replacement therapies conducted in animal models will be discussed. PMID:28928775

The effectiveness of a long-term professional development program on teachers' self-efficacy, attitudes, skills, and knowledge using a thematic learning approach

NASA Astrophysics Data System (ADS)

Tinnin, Richard Kinna

The purpose of this research study was to determine the effectiveness of a long-term professional development program on self-efficacy beliefs, science attitudes, skills, and knowledge of elementary teachers. The target school was located in the Lower Rio Grande Valley of Texas. Major elements of the study included the use of thematic science strands, use of the 5E constructivist-oriented instructional model, a focus on the interdisciplinary nature of the science process skills, and guided, inquiry-based learning experiences. These elements mirror the principles identified as being essential components of effective professional development for mathematics, and science education (Fullan, 1985; Sparks & Loucks-Horsley, 1990; Loucks-Horsley, 1997). The research team was actively involved with the participants for a total of 30 days at their school over the 24 months of the study. During each training, the research team modeled the 5E constructivist-oriented instructional strategy, and the interdisciplinary nature of the science process skills, set up a wide variety of activity centers, and provided the teachers with opportunities to improve their attitudes, skills, and knowledge of the science content, and teaching strategies. The 15 participants completed pre-, post-, and post-post-Leadership Team Surreys. Quantitative data analyses of gain scores measuring level of confidence to teach Marine and Earth Science, content knowledge, and teaching strategies were significant, p < .001. The participants' efficacy-beliefs and outcome expectancy were assessed with a pre- and posttest Science Teacher Self-Efficacy Beliefs Instrument that measures both elements. Self-efficacy beliefs were significant at p < .001. Outcome expectancies were not significant, p > .05. Qualitative analysis of reflective journal comments, classroom observations, and the participants understanding, and use of science process skills across the curriculum supported the quantitative data results. The

Estimation of parameters related to vaccine efficacy and dengue transmission from two large phase III studies.

PubMed

Coudeville, Laurent; Baurin, Nicolas; Vergu, Elisabeta

2016-12-07

A tetravalent dengue vaccine was shown to be efficacious against symptomatic dengue in two phase III efficacy studies performed in five Asian and five Latin American countries. The objective here was to estimate key parameters of a dengue transmission model using the data collected during these studies. Parameter estimation was based on a Sequential Monte Carlo approach and used a cohort version of the transmission model. Serotype-specific basic reproduction numbers were derived for each country. Parameters related to serotype interactions included duration of cross-protection and level of cross-enhancement characterized by differences in symptomaticity for primary, secondary and post-secondary infections. We tested several vaccine efficacy profiles and simulated the evolution of vaccine efficacy over time for the scenarios providing the best fit to the data. Two reference scenarios were identified. The first included temporary cross-protection and the second combined cross-protection and cross-enhancement upon wild-type infection and following vaccination. Both scenarios were associated with differences in efficacy by serotype, higher efficacy for pre-exposed subjects and against severe dengue, increase in efficacy with doses for naïve subjects and by a more important waning of vaccine protection for subjects when naïve than when pre-exposed. Over 20 years, the median reduction of dengue risk induced by the direct protection conferred by the vaccine ranged from 24% to 47% according to country for the first scenario and from 34% to 54% for the second. Our study is an important first step in deriving a general framework that combines disease dynamics and mechanisms of vaccine protection that could be used to assess the impact of vaccination at a population level. Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

Feelings of energy, exercise-related self-efficacy, and voluntary exercise participation.

PubMed

Yoon, Seok; Buckworth, Janet; Focht, Brian; Ko, Bomna

2013-12-01

This study used a path analysis approach to examine the relationship between feelings of energy, exercise-related self-efficacy beliefs, and exercise participation. A cross-sectional mailing survey design was used to measure feelings of physical and mental energy, task and scheduling self-efficacy beliefs, and voluntary moderate and vigorous exercise participation in 368 healthy, full-time undergraduate students (mean age = 21.43 ± 2.32 years). The path analysis revealed that the hypothesized path model had a strong fit to the study data. The path model showed that feelings of physical energy had significant direct effects on task and scheduling self-efficacy beliefs as well as exercise behaviors. In addition, scheduling self-efficacy had direct effects on moderate and vigorous exercise participation. However, there was no significant direct relationship between task self-efficacy and exercise participation. The path model also revealed that scheduling self-efficacy partially mediated the relationship between feelings of physical energy and exercise participation.

Evidence for curricular and instructional design approaches in undergraduate medical education: An umbrella review.

PubMed

Onyura, Betty; Baker, Lindsay; Cameron, Blair; Friesen, Farah; Leslie, Karen

2016-01-01

An umbrella review compiles evidence from multiple reviews into a single accessible document. This umbrella review synthesizes evidence from systematic reviews on curricular and instructional design approaches in undergraduate medical education, focusing on learning outcomes. We conducted bibliographic database searches in Medline, EMBASE and ERIC from database inception to May 2013 inclusive, and digital keyword searches of leading medical education journals. We identified 18,470 abstracts; 467 underwent duplicate full-text scrutiny. Thirty-six articles met all eligibility criteria. Articles were abstracted independently by three authors, using a modified Kirkpatrick model for evaluating learning outcomes. Evidence for the effectiveness of diverse educational approaches is reported. This review maps out empirical knowledge on the efficacy of a broad range of educational approaches in medical education. Critical knowledge gaps, and lapses in methodological rigour, are discussed, providing valuable insight for future research. The findings call attention to the need for adopting evaluative strategies that explore how contextual variabilities and individual (teacher/learner) differences influence efficacy of educational interventions. Additionally, the results underscore that extant empirical evidence does not always provide unequivocal answers about what approaches are most effective. Educators should incorporate best available empirical knowledge with experiential and contextual knowledge.

Calibrated photostimulated luminescence is an effective approach to identify irradiated orange during storage

NASA Astrophysics Data System (ADS)

Jo, Yunhee; Sanyal, Bhaskar; Chung, Namhyeok; Lee, Hyun-Gyu; Park, Yunji; Park, Hae-Jun; Kwon, Joong-Ho

2015-06-01

Photostimulated luminescence (PSL) has been employed as a fast screening method for various irradiated foods. In this study the potential use of PSL was evaluated to identify oranges irradiated with gamma ray, electron beam and X-ray (0-2 kGy) and stored under different conditions for 6 weeks. The effects of light conditions (natural light, artificial light, and dark) and storage temperatures (4 and 20 °C) on PSL photon counts (PCs) during post-irradiation periods were studied. Non-irradiated samples always showed negative values of PCs, while irradiated oranges exhibited intermediate results after first PSL measurements. However, the irradiated samples had much higher PCs. The PCs of all the samples declined as the storage time increased. Calibrated second PSL measurements showed PSL ratio <10 for the irradiated samples after 3 weeks of irradiation confirming their irradiation status in all the storage conditions. Calibrated PSL and sample storage in dark at 4 °C were found out to be most suitable approaches to identify irradiated oranges during storage.

Integrative screening approach identifies regulators of polyploidization and targets for acute megakaryocytic leukemia

PubMed Central

Wen, Qiang; Goldenson, Benjamin; Silver, Serena J.; Schenone, Monica; Dancik, Vladimir; Huang, Zan; Wang, Ling-Zhi; Lewis, Timothy; An, W. Frank; Li, Xiaoyu; Bray, Mark-Anthony; Thiollier, Clarisse; Diebold, Lauren; Gilles, Laure; Vokes, Martha S.; Moore, Christopher B.; Bliss-Moreau, Meghan; VerPlank, Lynn; Tolliday, Nicola J.; Mishra, Rama; Vemula, Sasidhar; Shi, Jianjian; Wei, Lei; Kapur, Reuben; Lopez, Cécile K.; Gerby, Bastien; Ballerini, Paola; Pflumio, Francoise; Gilliland, D. Gary; Goldberg, Liat; Birger, Yehudit; Izraeli, Shai; Gamis, Alan S.; Smith, Franklin O.; Woods, William G.; Taub, Jeffrey; Scherer, Christina A.; Bradner, James; Goh, Boon-Cher; Mercher, Thomas; Carpenter, Anne E.; Gould, Robert J.; Clemons, Paul A.; Carr, Steven A.; Root, David E.; Schreiber, Stuart L.; Stern, Andrew M.; Crispino, John D.

2012-01-01

Summary The mechanism by which cells decide to skip mitosis to become polyploid is largely undefined. Here we used a high-content image-based screen to identify small-molecule probes that induce polyploidization of megakaryocytic leukemia cells and serve as perturbagens to help understand this process. We found that dimethylfasudil (diMF, H-1152P) selectively increased polyploidization, mature cell-surface marker expression, and apoptosis of malignant megakaryocytes. A broadly applicable, highly integrated target identification approach employing proteomic and shRNA screening revealed that a major target of diMF is Aurora A kinase (AURKA), which has not been studied extensively in megakaryocytes. Moreover, we discovered that MLN8237 (Alisertib), a selective inhibitor of AURKA, induced polyploidization and expression of mature megakaryocyte markers in AMKL blasts and displayed potent anti-AMKL activity in vivo. This research provides the rationale to support clinical trials of MLN8237 and other inducers of polyploidization in AMKL. Finally, we have identified five networks of kinases that regulate the switch to polyploidy. PMID:22863010

Analysis of Mathematics Teachers' Self-Efficacy Levels Concerning the Teaching Process

ERIC Educational Resources Information Center

Ünsal, Serkan; Korkmaz, Fahrettin; Perçin, Safiye

2016-01-01

The purpose of this study is to identify mathematics teachers' opinions on the teaching process self-efficacy levels; and to examine mathematics teachers' teaching process self-efficacy beliefs with regards to specific variables. The study was conducted in Turkey during the second term of the 2015-2016 academic year. The study sample consisted of…

Evaluation of Bayesian approaches to identify DDT source contributions to soils in Southeast China.

PubMed

Zeng, Faming; Yang, Dan; Xing, Xinli; Qi, Shihua

2017-06-01

Dicofol application may be an important source to elevate the dichlorodiphenyltrichloroethane (DDT) residues to soils in Fujian, Southeast China, after the technical DDT was banned, which left DDT residues from the historical application. The DDT residues varied geographically, corresponding to the varied potential sources of DDT. In this study, a novel approach based on the Bayesian method (BM) was developed to identify the source contributions of DDT to soils, composed with both historical DDT and dicofol. The Naive Bayesian classifier was used basing on the subset of the samples, which were determined by chemical analysis independent of the Bayesian approach. The results show that BM (95%) was higher than that using the ratio of o, p'-/p, p'-DDT (84%) to identify DDT source contributions. High detection rate (97%) of dicofol (p, p'-OH-DDT) was observed in the subset, showing dicofol application influenced the DDX levels in soils in Fujian. However, the contribution from historical technical DDT source was greater than that from dicofol in Fujian, indicating historical technical DDT was still an important pollution source to soils. In addition, both the DDX (DDT isomers and derivatives) level and dicofol contribution in non-agricultural soils were higher than other agricultural land uses, especially in hilly regions, the potential cause may be the atmospheric transport of dicofol type DDT, after spraying during daytime, or regional difference on production and application. Copyright © 2017 Elsevier Ltd. All rights reserved.

Learn the Lagrangian: A Vector-Valued RKHS Approach to Identifying Lagrangian Systems.

PubMed

Cheng, Ching-An; Huang, Han-Pang

2016-12-01

We study the modeling of Lagrangian systems with multiple degrees of freedom. Based on system dynamics, canonical parametric models require ad hoc derivations and sometimes simplification for a computable solution; on the other hand, due to the lack of prior knowledge in the system's structure, modern nonparametric models in machine learning face the curse of dimensionality, especially in learning large systems. In this paper, we bridge this gap by unifying the theories of Lagrangian systems and vector-valued reproducing kernel Hilbert space. We reformulate Lagrangian systems with kernels that embed the governing Euler-Lagrange equation-the Lagrangian kernels-and show that these kernels span a subspace capturing the Lagrangian's projection as inverse dynamics. By such property, our model uses only inputs and outputs as in machine learning and inherits the structured form as in system dynamics, thereby removing the need for the mundane derivations for new systems as well as the generalization problem in learning from scratches. In effect, it learns the system's Lagrangian, a simpler task than directly learning the dynamics. To demonstrate, we applied the proposed kernel to identify the robot inverse dynamics in simulations and experiments. Our results present a competitive novel approach to identifying Lagrangian systems, despite using only inputs and outputs.

Exercise self-efficacy in older adults: social, affective, and behavioral influences.

PubMed

McAuley, Edward; Jerome, Gerald J; Marquez, David X; Elavsky, Steriani; Blissmer, Bryan

2003-01-01

A 6-month randomized controlled trial examined the effect of walking and stretching/toning activity on changes in self-efficacy to overcome barriers and engage in incremental periods of activity in older, formerly sedentary adults (N = 174, M age = 65.5 years). Additionally, we were interested in the extent to which social, affective, and behavioral influences contributed to self-efficacy at the end of the 6-month program. Multiple sample latent growth curve analyses revealed a nonsignificant curvilinear growth pattern for barriers efficacy with increases in efficacy occurring from baseline to 2 months and then declining at 4 and 6 months. In the case of efficacy related to continued activity participation, there was a significant growth pattern demonstrating declines in efficacy over the 4 time points. Structural modeling analyses revealed significant direct effects of physical activity, affect experienced during activity, and exercise social support on both types of self-efficacy. These relationships were not significantly different between modes of activity. The findings are discussed in terms of the need to target sources of efficacy information prior to program end and the implications that such an approach might have for long-term maintenance of physical activity in older adults.

CONDITIONAL PROBABILITY ANALYSIS APPROACH FOR IDENTIFYING BIOLOGICAL THRESHOLD OF IMPACT FOR SEDIMENTATION: APPICATION TO FRESHWATER STREAMS IN OREGON COAST RANGE ECOREGION

EPA Science Inventory

A conditional probability analysis (CPA) approach has been developed for identifying biological thresholds of impact for use in the development of geographic-specific water quality criteria for protection of aquatic life. This approach expresses the threshold as the likelihood ...

A Gender Study Investigating Physics Self-Efficacy

ERIC Educational Resources Information Center

Sawtelle, Vashti

2011-01-01

The underrepresentation of women in physics has been well documented and a source of concern for both policy makers and educators. My dissertation focuses on understanding the role self-efficacy plays in retaining students, particularly women, in introductory physics. I use an explanatory mixed methods approach to first investigate quantitatively…

A weight-of-evidence approach to identify nanomaterials in consumer products: a case study of nanoparticles in commercial sunscreens.

PubMed

Cuddy, Michael F; Poda, Aimee R; Moser, Robert D; Weiss, Charles A; Cairns, Carolyn; Steevens, Jeffery A

2016-01-01

Nanoscale ingredients in commercial products represent a point of emerging environmental concern due to recent findings that correlate toxicity with small particle size. A weight-of-evidence (WOE) approach based upon multiple lines of evidence (LOE) is developed here to assess nanomaterials as they exist in consumer product formulations, providing a qualitative assessment regarding the presence of nanomaterials, along with a baseline estimate of nanoparticle concentration if nanomaterials do exist. Electron microscopy, analytical separations, and X-ray detection methods were used to identify and characterize nanomaterials in sunscreen formulations. The WOE/LOE approach as applied to four commercial sunscreen products indicated that all four contained at least 10% dispersed primary particles having at least one dimension <100 nm in size. Analytical analyses confirmed that these constituents were comprised of zinc oxide (ZnO) or titanium dioxide (TiO2). The screening approaches developed herein offer a streamlined, facile means to identify potentially hazardous nanomaterial constituents with minimal abrasive processing of the raw material.

Epidural steroid injections: update on efficacy, safety, and newer medications for injection.

PubMed

Kozlov, N; Benzon, H T; Malik, K

2015-08-01

The best evidence for epidural injection appears to be in the setting of radicular pain with epidural steroid and non-steroid injections more efficacious than non-epidural injections. Studies showed the efficacy of non-particulate steroid to approach the efficacy of particulate steroid and very limited comparisons demonstrated no significant difference between epidural steroid and epidural non-steroid (local anesthetic) injection. Preliminary studies evaluating epidural injection of disease modifying anti-rheumatic drugs such etanercept and tocilizumab showed conflicting results and had significant limitations. Randomized studies support better efficacy of transforaminal injection due to greater incidence of ventral epidural spread of injectate when compared to interlaminar injection. Thus, the transforaminal approach is recommended when unilateral radicular pain is limited to one nerve root. However, the transforaminal approach is associated with greater incidence of central nervous system injury, including paraplegia, attributed to embolization of the particulate steroid. Recent studies showed that non-particulate steroids potentially last as long as particulate steroids. Therefore non-particulate steroid should be used in initial transforaminal epidural injection. Future studies should look into the role of adjunct diagnostic aids, including digital subtraction angiography, in detecting intravascular injection and the ideal site of needle placement, whether it is the safe triangle or the triangle of Kambin. Finally, the role of epidural disease -modifying antirheumatic drugs in the management of back pain needs to be better elucidated.

Simplified Screening Approach Identifies Mutated Proteins Expressed in Patient Tumors | Center for Cancer Research

Cancer.gov

Adoptive cell therapy using tumor-infiltrating lymphocytes (TILs) is a very effective treatment for patients with metastatic melanoma. In phase 2 clinical trials, up to 70 percent of patients with melanoma who received autologous TILs had considerable regressions of metastatic lesions. Recently, in another trial, 40 percent of patients treated had complete regressions of all measurable lesions lasting more than five years after treatment. Identifying antigens associated with TIL-mediated tumor regression has been a difficult task due to the diversity of these large lymphocyte populations and the complexity of current screening approaches.

Test Anxiety & Its Relation to Perceived Academic Self-Efficacy among Al Hussein Bin Talal University Students

ERIC Educational Resources Information Center

sa'ad alzboon, Habis

2016-01-01

This study aimed to identify the degree of perceived academic self-efficacy and the relationship nature between test anxiety and perceived academic self-efficacy among students of Al Hussein Bin Talal University (AHU). Moreover, to identify the degree of available statistical significance differences that are attributed to gender, college and…

Special Education Teachers' Self-Efficacy Beliefs in a Large Urban High School

ERIC Educational Resources Information Center

Seebeck, Kelly A.

2016-01-01

The purpose of this study was to identify if special education teachers' self-efficacy beliefs are impacted by student engagement, instructional strategies, and classroom management. Specifically, this study focused on the self-efficacy of high school special education teachers in an urban setting. This was a correlational quantitative design…

Review of educational interventions to increase traditional birth attendants' neonatal resuscitation self-efficacy.

PubMed

Mendhi, Marvesh M; Cartmell, Kathleen B; Newman, Susan D; Premji, Shahirose; Pope, Charlene

2018-05-21

Annually, up to 2.7 million neonatal deaths occur worldwide, and 25% of these deaths are caused by birth asphyxia. Infants born in rural areas of low-and-middle-income countries are often delivered by traditional birth attendants and have a greater risk of birth asphyxia-related mortality. This review will evaluate the effectiveness of neonatal resuscitation educational interventions in improving traditional birth attendants' knowledge, perceived self-efficacy, and infant mortality outcomes in low-and-middle-income countries. An integrative review was conducted to identify studies pertaining to neonatal resuscitation training of traditional birth attendants and midwives for home-based births in low-and-middle-income countries. Ten studies met inclusion criteria. Most interventions were based on the American Association of Pediatrics Neonatal Resuscitation Program, World Health Organization Safe Motherhood Guidelines and American College of Nurse-Midwives Life Saving Skills protocols. Three studies exclusively for traditional birth attendants reported decreases in neonatal mortality rates ranging from 22% to 65%. These studies utilized pictorial and oral forms of teaching, consistent in addressing the social cognitive theory. Studies employing skill demonstration, role-play, and pictorial charts showed increased pre- to post-knowledge scores and high self-efficacy scores. In two studies, a team approach, where traditional birth attendants were assisted, was reported to decrease neonatal mortality rate from 49-43/1000 births to 10.5-3.7/1000 births. Culturally appropriate methods, such as role-play, demonstration, and pictorial charts, can contribute to increased knowledge and self-efficacy related to neonatal resuscitation. A team approach to training traditional birth attendants, assisted by village health workers during home-based childbirths may reduce neonatal mortality rates. Copyright © 2018 Australian College of Midwives. Published by Elsevier Ltd. All

Family Efficacy within Ethnically Diverse Families: A Qualitative Study.

PubMed

Kao, Tsui-Sui A; Caldwell, Cleopatra H

2017-03-01

Family efficacy, which refers to a family's belief in its ability to produce a desired outcome, has been shown to protect adolescents from risky health behaviors. Few studies have examined family efficacy within diverse populations, however, and understanding of how efficacy is framed and formed within the context of cultural and familial values is limited. This descriptive qualitative study examined sources of family efficacy within ethnically and socioeconomically diverse families, evaluating how such families develop and exercise family efficacy with the intent to protect adolescents from risky health behaviors (i.e., marijuana and alcohol use and early sexual activity). We collected qualitative data via two semi-structured interviews, 4-6 months apart, with 31 adolescents (ages 12-14) and their parent/s, for total of 148 one-on-one interviews. Thematic analysis identified three distinct domains of family efficacy: relational, pragmatic, and value-laden. Prior experiences and cultural background influenced the domain/s utilized by families. Significantly, families that consistently tapped into all three domains were able to effectively manage personal and family difficulties; these families also had family strategies in place to prevent adolescents from risky behaviors. Health professionals could utilize this concept of multidimensional family efficacy to promote health within culturally diverse families. © 2015 Family Process Institute.

Estimating the efficacy of medical abortion.

PubMed

Trussell, J; Ellertson, C

1999-09-01

Comparisons of the efficacy of different regimens of medical abortion are difficult because of the widely varying protocols (even for testing identical regimens), divergent definitions of success and failure, and lack of a standard method of analysis. In this article we review the current efficacy literature on medical abortion, highlighting some of the most important differences in the way that efficacy has been analyzed. We then propose a standard conceptual approach and the accompanying statistical methods for analyzing clinical trials of medical abortion and to explain how clinical investigators can implement this approach. Our review reveals that research on the efficacy of medical abortion has closely followed the conceptual model used for analysis of surgical abortion. The problem, however, is that, whereas surgical abortion is a discrete event occurring in the space of a few minutes or less, medical abortion is a process typically lasting from several days to several weeks. In this process, two events may occur that are not possible with surgical abortion. First, the woman can opt out of the process before a fair determination of efficacy can be made. Second, the process of medical abortion allows time for surgical interventions that may be convenient for the clinician but not strictly necessary from a medical perspective. Another difference from surgical abortions is that, for medical abortions, different medical abortion protocols specify different waiting periods, giving the drugs less time to work in some studies than in others before a determination of efficacy is made. We argue that, when analyzing efficacy of medical abortion, researchers should abandon their close reliance on the analogy to surgical abortion. In fact, medical abortion is more appropriately analyzed by life table procedures developed for the study of another fertility regulation technology; contraception. As with medical abortion, a woman initiating use of a contraceptive method can

An investigation of factors associated with fluid adherence among hemodialysis patients: a self-efficacy theory based approach.

PubMed

Brady, B A; Tucker, C M; Alfino, P A; Tarrant, D G; Finlayson, G C

1997-01-01

This research tested the hypothesis that fluid adherence (i.e. mean weekend interdialysis fluid weight gain) among adult chronic hemodialysis patients would have significant associations with fluid adherence efficacy expectation, fluid adherence outcome expectation, and fluid adherence motivation. The association of these variables with patients' medical characteristics was also examined. Results provide partial support for the hypothesis. Fluid adherence efficacy expectation was found to be a significant predictor of mean weekend interdialysis fluid weight gain (fluid adherence). Patients with higher fluid adherence efficacy expectations had lower mean weekend interdialysis fluid weight gains. However, fluid adherence outcome expectation and fluid adherence motivation were not found to be significant predictors of fluid adherence. Results also revealed that certain of the investigated medical characteristics were significantly associated with mean weekend interdialysis fluid weight gain and fluid adherence efficacy expectation. Implications for studying and modifying fluid adherence among hemodialysis patients are discussed.

Preparing mental health professionals for new directions in mental health practice: Evaluating the sensory approaches e-learning training package.

PubMed

Meredith, Pamela; Yeates, Harriet; Greaves, Amanda; Taylor, Michelle; Slattery, Maddy; Charters, Michelle; Hill, Melissa

2018-02-01

The application of sensory modulation approaches in mental health settings is growing in recognition internationally. However, a number of barriers have been identified as limiting the implementation of the approach, including workplace culture and a lack of accessible and effective sensory approaches training. The aim of this project was to investigate the efficacy of providing this training through a custom-designed e-learning package. Participants in the present study were predominately nurses and occupational therapists working in mental health settings in Queensland, Australia. Data were collected from 121 participants using an online survey. Significant improvements were found between pre- and post-training in participants' real and perceived levels of knowledge, their perceived levels of confidence, and their attitudes towards using sensory modulation approaches in mental health settings. The findings of the study suggest that the custom-designed sensory approaches e-learning package is an effective, accessible, acceptable, and usable method to train health professionals in sensory modulation approaches. As this study is the first to analyse the efficacy of an e-learning sensory approaches package, the results are considered preliminary, and further investigation is required. © 2017 Australian College of Mental Health Nurses Inc.

The efficacy of anticonvulsants on orofacial pain: a systematic review.

PubMed

Martin, Wilhelmus J J M; Forouzanfar, Tymour

2011-05-01

Controversy exists about the effectiveness of anticonvulsants for the management of orofacial pain disorders. To ascertain appropriate therapies, a systematic review was conducted of existing randomized controlled trials. Trials were identified from PubMed, Cochrane, and Ovid Medline databases from 1962 through March 2010, from references in retrieved reports, and from references in review articles. Eight useful trials were identified for this review. Six studies were randomized placebo-controlled trials and 2 studies were randomized active-controlled. Two independent investigators reviewed these articles by using a 15-item checklist. Four studies were classified as "high quality." However, heterogeneity of the trials and the small sample sizes precluded the drawing of firm conclusions about the efficacy of the interventions studied on orofacial pain patients. There is limited to moderate evidence supporting the efficacy of commonly used anticonvulsants for treatment of patients with orofacial pain disorders. More randomized controlled trials are needed on the efficacy of anticonvulsants. Copyright © 2011 Mosby, Inc. All rights reserved.

Promoting Efficacy Research on Functional Analytic Psychotherapy

ERIC Educational Resources Information Center

Maitland, Daniel W. M.; Gaynor, Scott T.

2012-01-01

Functional Analytic Psychotherapy (FAP) is a form of therapy grounded in behavioral principles that utilizes therapist reactions to shape target behavior. Despite a growing literature base, there is a paucity of research to establish the efficacy of FAP. As a general approach to psychotherapy, and how the therapeutic relationship produces change,…

Stress among UK Academics: Identifying Who Copes Best

ERIC Educational Resources Information Center

Darabi, Mitra; Macaskill, Ann; Reidy, Lisa

2017-01-01

This article examined levels of stress and associated coping strategies among UK academics. Adopting a positive psychology approach, the influence of the character strengths of hope, optimism, gratitude and self-efficacy on stress, subjective well-being (SWB), and mental health was examined in 216 academics in a UK university. The study explored…

The Effect of Childbirth Self-Efficacy on Perinatal Outcomes

PubMed Central

Tilden, Ellen L.; Caughey, Aaron B.; Lee, Christopher S.; Emeis, Cathy

2016-01-01

Objective To synthesize and critique the quantitative literature on measuring childbirth self-efficacy and the effect of childbirth self-efficacy on perinatal outcomes. Data Sources Eligible studies were identified through searching MEDLINE, CINAHL, Scopus, and Google Scholar databases. Study Selection Published research using a tool explicitly intended to measure childbirth self-efficacy and also examining outcomes within the perinatal period were included. All manuscripts were in English and published in peer-reviewed journals. Data Extraction First author, country, year of publication, reference and definition of childbirth self-efficacy, measurement of childbirth self-efficacy, sample recruitment and retention, sample characteristics, study design, interventions (with experimental and quasi-experimental studies), and perinatal outcomes were extracted and summarized. Data Synthesis Of 619 publications, 23 studies published between 1983 and 2015 met inclusion criteria and were critiqued and synthesized in this review. Conclusions There is overall consistency in how childbirth self-efficacy is defined and measured among studies, facilitating comparison and synthesis. Our findings suggest that increased childbirth self-efficacy is associated with a wide variety of improved perinatal outcomes. Moreover, there is evidence that childbirth self-efficacy is a psychosocial factor that can be modified through various efficacy-enhancing interventions. Future researchers will be able to build knowledge in this area through: (a) utilization of experimental and quasi-experimental design; (b) recruitment and retention of more diverse samples; (c) explicit reporting of definitions of terms (e.g. ‘high risk’); (d) investigation of interventions that increase childbirth self-efficacy during pregnancy; and, (e) investigation regarding how childbirth self-efficacy enhancing interventions might lead to decreased active labor pain and suffering. Exploratory research should

The Effect of Childbirth Self-Efficacy on Perinatal Outcomes.

PubMed

Tilden, Ellen L; Caughey, Aaron B; Lee, Christopher S; Emeis, Cathy

2016-01-01

To synthesize and critique the quantitative literature on measuring childbirth self-efficacy and the effect of childbirth self-efficacy on perinatal outcomes. Eligible studies were identified through searches of MEDLINE, CINAHL, Scopus, and Google Scholar databases. Published research articles that used a tool explicitly intended to measure childbirth self-efficacy and that examined outcomes within the perinatal period were included. All articles were in English and were published in peer-reviewed journals. First author, country, year of publication, reference and definition of childbirth self-efficacy, measurement of childbirth self-efficacy, sample recruitment and retention, sample characteristics, study design, interventions (with experimental and quasiexperimental studies), and perinatal outcomes were extracted and summarized. Of 619 publications, 23 studies published between 1983 and 2015 met inclusion criteria and were critiqued and synthesized in this review. There is overall consistency in how childbirth self-efficacy is defined and measured among studies, which facilitates comparison and synthesis. Our findings suggest that increased childbirth self-efficacy is associated with a wide variety of improved perinatal outcomes. Moreover, there is evidence that childbirth self-efficacy is a psychosocial factor that can be modified through various efficacy-enhancing interventions. Future researchers will be able to build knowledge in this area through (a) use of experimental and quasiexperimental design, (b) recruitment and retention of more diverse samples, (c) explicit reporting of definitions of terms (e.g., high risk), (d) investigation of interventions that increase childbirth self-efficacy during pregnancy, and (e) investigation about how childbirth self-efficacy-enhancing interventions might lead to decreased active labor pain and suffering. Exploratory research should continue to examine the potential association between higher prenatal childbirth self-efficacy

Continuous event monitoring via a Bayesian predictive approach.

PubMed

Di, Jianing; Wang, Daniel; Brashear, H Robert; Dragalin, Vladimir; Krams, Michael

2016-01-01

In clinical trials, continuous monitoring of event incidence rate plays a critical role in making timely decisions affecting trial outcome. For example, continuous monitoring of adverse events protects the safety of trial participants, while continuous monitoring of efficacy events helps identify early signals of efficacy or futility. Because the endpoint of interest is often the event incidence associated with a given length of treatment duration (e.g., incidence proportion of an adverse event with 2 years of dosing), assessing the event proportion before reaching the intended treatment duration becomes challenging, especially when the event onset profile evolves over time with accumulated exposure. In particular, in the earlier part of the study, ignoring censored subjects may result in significant bias in estimating the cumulative event incidence rate. Such a problem is addressed using a predictive approach in the Bayesian framework. In the proposed approach, experts' prior knowledge about both the frequency and timing of the event occurrence is combined with observed data. More specifically, during any interim look, each event-free subject will be counted with a probability that is derived using prior knowledge. The proposed approach is particularly useful in early stage studies for signal detection based on limited information. But it can also be used as a tool for safety monitoring (e.g., data monitoring committee) during later stage trials. Application of the approach is illustrated using a case study where the incidence rate of an adverse event is continuously monitored during an Alzheimer's disease clinical trial. The performance of the proposed approach is also assessed and compared with other Bayesian and frequentist methods via simulation. Copyright © 2015 John Wiley & Sons, Ltd.

An Iterative Approach for Identifying the Causes of Reduced Benthic Macroinvertebrate Diversity in the Willimantic River, Connecticut (Final)

EPA Science Inventory

EPA announced the availability of the final report, An Iterative Approach for Identifying the Causes of Reduced Benthic Macroinvertebrate Diversity in the Willimantic River, Connecticut. This study demonstrates that a screening assessment can help to focus sampling for ...

"Yes, we can!": Perceptions of collective efficacy sources in volleyball.

PubMed

Fransen, Katrien; Vanbeselaere, Norbert; Exadaktylos, Vasileios; Vande Broek, Gert; De Cuyper, Bert; Berckmans, Daniel; Ceux, Tanja; De Backer, Maarten; Boen, Filip

2012-01-01

Collective efficacy can be defined as a group's shared confidence that they will successfully achieve their goal. We examined which behaviours and events are perceived as sources of collective efficacy beliefs in a volleyball context. In study 1, volleyball coaches from the highest volleyball leagues (n = 33) in Belgium indicated the most important sources of collective efficacy. This list was then adapted based on the literature and on feedback given by an expert focus group, resulting in a 40-item questionnaire. In Study 2, coaches and players from all levels of volleyball in Belgium (n = 2365) rated each of these sources on their predictive value for collective efficacy. A principal component analysis revealed that the 40 sources could be divided into eight internally consistent factors. Positive supportive communication (e.g., enthusiasm after making a point) was identified as the factor most predictive for positive collective efficacy beliefs. The factor referring to the negative emotional reactions of players (e.g., discouraging body language) was the most predictive for negative collective efficacy beliefs. These findings offer a starting point for the design of continuous measurements of collective efficacy through observation.

Postoperative self-efficacy and psychological morbidity in radical prostatectomy1

PubMed Central

da Mata, Luciana Regina Ferreira; de Carvalho, Emilia Campos; Gomes, Cássia Regina Gontijo; da Silva, Ana Cristina; Pereira, Maria da Graça

2015-01-01

Objective: evaluate the general and perceived self-efficacy, psychological morbidity, and knowledge about postoperative care of patients submitted to radical prostatectomy. Identify the relationships between the variables and know the predictors of self-efficacy. Method: descriptive, cross-sectional study, conducted with 76 hospitalized men. The scales used were the General and Perceived Self-efficacy Scale and the Hospital Anxiety and Depression Scale, in addition to sociodemographic, clinical and knowledge questionnaires. Results: a negative relationship was found for self-efficacy in relation to anxiety and depression. Psychological morbidity was a significant predictor variable for self-efficacy. An active professional situation and the waiting time for surgery also proved to be relevant variables for anxiety and knowledge, respectively. Conclusion: participants had a good level of general and perceived self-efficacy and small percentage of depression. With these findings, it is possible to produce the profile of patients about their psychological needs after radical prostatectomy and, thus, allow the nursing professionals to act holistically, considering not only the need for care of physical nature, but also of psychosocial nature. PMID:26487129

Understanding reduced rotavirus vaccine efficacy in low socio-economic settings.

PubMed

Lopman, Benjamin A; Pitzer, Virginia E; Sarkar, Rajiv; Gladstone, Beryl; Patel, Manish; Glasser, John; Gambhir, Manoj; Atchison, Christina; Grenfell, Bryan T; Edmunds, W John; Kang, Gagandeep; Parashar, Umesh D

2012-01-01

Rotavirus vaccine efficacy ranges from >90% in high socio-economic settings (SES) to 50% in low SES. With the imminent introduction of rotavirus vaccine in low SES countries, understanding reasons for reduced efficacy in these settings could identify strategies to improve vaccine performance. We developed a mathematical model to predict rotavirus vaccine efficacy in high, middle and low SES based on data specific for each setting on incidence, protection conferred by natural infection and immune response to vaccination. We then examined factors affecting efficacy. Vaccination was predicted to prevent 93%, 86% and 51% of severe rotavirus gastroenteritis in high, middle and low SES, respectively. Also predicted was that vaccines are most effective against severe disease and efficacy declines with age in low but not high SES. Reduced immunogenicity of vaccination and reduced protection conferred by natural infection are the main factors that compromise efficacy in low SES. The continued risk of severe disease in non-primary natural infections in low SES is a key factor underpinning reduced efficacy of rotavirus vaccines. Predicted efficacy was remarkably consistent with observed clinical trial results from different SES, validating the model. The phenomenon of reduced vaccine efficacy can be predicted by intrinsic immunological and epidemiological factors of low SES populations. Modifying aspects of the vaccine (e.g. improving immunogenicity in low SES) and vaccination program (e.g. additional doses) may bring improvements.

Integrated pathway-based approach identifies association between genomic regions at CTCF and CACNB2 and schizophrenia.

PubMed

Juraeva, Dilafruz; Haenisch, Britta; Zapatka, Marc; Frank, Josef; Witt, Stephanie H; Mühleisen, Thomas W; Treutlein, Jens; Strohmaier, Jana; Meier, Sandra; Degenhardt, Franziska; Giegling, Ina; Ripke, Stephan; Leber, Markus; Lange, Christoph; Schulze, Thomas G; Mössner, Rainald; Nenadic, Igor; Sauer, Heinrich; Rujescu, Dan; Maier, Wolfgang; Børglum, Anders; Ophoff, Roel; Cichon, Sven; Nöthen, Markus M; Rietschel, Marcella; Mattheisen, Manuel; Brors, Benedikt

2014-06-01

In the present study, an integrated hierarchical approach was applied to: (1) identify pathways associated with susceptibility to schizophrenia; (2) detect genes that may be potentially affected in these pathways since they contain an associated polymorphism; and (3) annotate the functional consequences of such single-nucleotide polymorphisms (SNPs) in the affected genes or their regulatory regions. The Global Test was applied to detect schizophrenia-associated pathways using discovery and replication datasets comprising 5,040 and 5,082 individuals of European ancestry, respectively. Information concerning functional gene-sets was retrieved from the Kyoto Encyclopedia of Genes and Genomes, Gene Ontology, and the Molecular Signatures Database. Fourteen of the gene-sets or pathways identified in the discovery dataset were confirmed in the replication dataset. These include functional processes involved in transcriptional regulation and gene expression, synapse organization, cell adhesion, and apoptosis. For two genes, i.e. CTCF and CACNB2, evidence for association with schizophrenia was available (at the gene-level) in both the discovery study and published data from the Psychiatric Genomics Consortium schizophrenia study. Furthermore, these genes mapped to four of the 14 presently identified pathways. Several of the SNPs assigned to CTCF and CACNB2 have potential functional consequences, and a gene in close proximity to CACNB2, i.e. ARL5B, was identified as a potential gene of interest. Application of the present hierarchical approach thus allowed: (1) identification of novel biological gene-sets or pathways with potential involvement in the etiology of schizophrenia, as well as replication of these findings in an independent cohort; (2) detection of genes of interest for future follow-up studies; and (3) the highlighting of novel genes in previously reported candidate regions for schizophrenia.

The confounded self-efficacy construct: conceptual analysis and recommendations for future research.

PubMed

Williams, David M; Rhodes, Ryan E

2016-06-01

Self-efficacy is central to health behaviour theories due to its robust predictive capabilities. In this paper, we present and review evidence for a self-efficacy-as-motivation argument in which standard self-efficacy questionnaires - i.e., ratings of whether participants 'can do' the target behaviour - reflect motivation rather than perceived capability. The potential implication is that associations between self-efficacy ratings (particularly those that employ a 'can do' operationalisation) and health-related behaviours simply indicate that people are likely to do what they are motivated to do. There is some empirical evidence for the self-efficacy-as-motivation argument, with three studies demonstrating causal effects of outcome expectancy on subsequent self-efficacy ratings. Three additional studies show that - consistent with the self-efficacy-as-motivation argument - controlling for motivation by adding the phrase 'if you wanted to' to the end of self-efficacy items decreases associations between self-efficacy ratings and motivation. Likewise, a qualitative study using a thought-listing procedure demonstrates that self-efficacy ratings have motivational antecedents. The available evidence suggests that the self-efficacy-as-motivation argument is viable, although more research is needed. Meanwhile, we recommend that researchers look beyond self-efficacy to identify the many and diverse sources of motivation for health-related behaviours.

Teaching efficacy of nurses in clinical practice education: A cross-sectional study.

PubMed

Kim, Eun-Kyeung; Shin, Sujin

2017-07-01

Clinical nurses play a vital role in clinical practice education; thus, it is necessary to help clinical nurses have teaching efficacy through the development and application of systematic education programs. To identify nurses' teaching efficacy for clinical education and analyze the influencing factors of teaching efficacy. The study used a cross-sectional design. We used a convenience sample of 263 nurses from two hospitals. Teaching efficacy, general characteristics, and perception of clinical practice education were collected via self-reported questionnaires. Teaching efficacy was measured using Hwang's (2006) questionnaire, while perception of clinical practice education was measured using the Clinical Nurse Teacher Survey developed by Nishioka et al. (2014). Participants completed the questionnaire directly. The collected data were then analyzed using descriptive statistics, t-tests, ANOVAs, and multiple regression analysis with PASW Statistics 18.0. The mean total score of teaching efficacy was 72.5 (range 21-105). The leadership for students subscale had the highest score (3.56±0.59). The factors influencing teaching efficacy were length of clinical career (β=0.26, p<0.001) and perceptions of work satisfaction (β=0.20, p=.005), clinical supervisory relationship (β=0.18, p=.010), and nursing at the hospital ward (β=0.13, p=.029). Altogether, these variables explained 28% of the variance in teaching efficacy in nurses. Based on these results, nursing educators might need to develop greater confidence in their knowledge and enhance control of their teaching strategies. Nursing schools and hospitals might need to provide greater support and educational opportunities to nurse clinical practice instructors. Furthermore, constructing a system of cooperation between these colleges and educational hospitals, developing programs to enhance teaching efficacy, and identifying the clinical instructor's role are all necessary to promote clinical practice education

The Relationship of Academic Self-Efficacy to Class Participation and Exam Performance

ERIC Educational Resources Information Center

Galyon, Charles E.; Blondin, Carolyn A.; Yaw, Jared S.; Nalls, Meagan L.; Williams, Robert L.

2012-01-01

This study examined the relationship of academic self-efficacy to engagement in class discussion and performance on major course exams among students (N = 165) in an undergraduate human development course. Cluster analysis was used to identify three levels of academic self-efficacy: high (n = 34), medium (n = 91), and low (n = 40). Results…

Online Learning Self-Efficacy in Students with and without Online Learning Experience

ERIC Educational Resources Information Center

Zimmerman, Whitney Alicia; Kulikowich, Jonna M.

2016-01-01

A need was identified for an instrument to measure online learning self-efficacy, which encompassed the wide variety of tasks required of successful online students. The Online Learning Self-Efficacy Scale (OLSES) was designed to include tasks required of students enrolled in paced online courses at one university. In the present study, the…

Identifying the critical financial ratios for stocks evaluation: A fuzzy delphi approach

NASA Astrophysics Data System (ADS)

Mokhtar, Mazura; Shuib, Adibah; Mohamad, Daud

2014-12-01

Stocks evaluation has always been an interesting and challenging problem for both researchers and practitioners. Generally, the evaluation can be made based on a set of financial ratios. Nevertheless, there are a variety of financial ratios that can be considered and if all ratios in the set are placed into the evaluation process, data collection would be more difficult and time consuming. Thus, the objective of this paper is to identify the most important financial ratios upon which to focus in order to evaluate the stock's performance. For this purpose, a survey was carried out using an approach which is based on an expert judgement, namely the Fuzzy Delphi Method (FDM). The results of this study indicated that return on equity, return on assets, net profit margin, operating profit margin, earnings per share and debt to equity are the most important ratios.

Adolescents' physical activities and peer norms: the mediating role of self-efficacy.

PubMed

Lu, Frank J H; Lin, Ju-Han; Hsu, Ya-Wen; Chou, Chien-Chih; Wang, Erica T W; Yeh, Li-Chin

2014-04-01

The purpose of the present study was to examine the relations among adolescents' self-efficacy and social norms, and physical activity and whether self-efficacy mediated the relationship between social norms and physical activity. 400 junior high school students (202 boys, 198 girls, 2 not identified; M age = 15.3yr., SD = 0.6) completed a demographic questionnaire, the International Physical Activity Questionnaire (IPAQ), the Perceived Self-Efficacy in Physical Activity Scale, and the Physical Activity Social Norms Scale. Regression analyses indicated that both self-efficacy and social norms predicted physical activity. Self-efficacy fully mediated the relationship between peer norms and physical activity for boys but partially mediated the relationship for girls. An application of the results may be to foster self-efficacy and peer norms as a motivational strategy for supporting increased physical activity.

Self-Efficacy as a Positive Youth Development Construct: A Conceptual Review

PubMed Central

Tsang, Sandra K. M.; Hui, Eadaoin K. P.; Law, Bella C. M.

2012-01-01

Self-efficacy denotes people's beliefs about their ability to perform in different situations. It functions as a multilevel and multifaceted set of beliefs that influence how people feel, think, motivate themselves, and behave during various tasks. Self-efficacy beliefs are informed by enactive attainment, vicarious experience, imaginal experiences, and social persuasion as well as physical and emotional states. These beliefs are mediated by cognitive, motivational, affective, and selection processes to generate actual performance. Self-efficacy development is closely intertwined with a person's experiences, competencies, and developmental tasks in different domains at different stages in life. This paper reviews the literature to outline the definition and theoretical conceptualizations of the construct originally devised by Bandura that have flourished since the 1990s. Drawing from the studies of the construct to assess self-efficacy, and to inform positive youth development, the paper will present the determinants of the development of self-efficacy beliefs and identify the connection between self-efficacy and adolescent developmental outcomes. The paper will conclude with strategies to enhance youth self-efficacy and proposals for future research directions. PMID:22645423

Defensive efficacy interim design: Dynamic benefit/risk ratio view using probability of success.

PubMed

Tang, Zhongwen

2017-01-01

Traditional efficacy interim design is based on alpha spending which does not have intuitive interpretation and hence is difficult to communicate with non-statistician colleagues. The alpha-spending approach is based on efficacy alone and hence does not have the flexibility to incorporate newly emerged safety signal. Newly emerged safety signal may nullify the originally set efficacy boundary. In contrast, the probability of success (POS) concept has intuitive interpretation and hence can facilitate our communication with non-statistician colleagues and help to obtain health authority (HA) buying. The success criteria of POS are not restricted to statistical significance. Hence, POS has the capability to incorporate both efficacy and safety information. We propose to use POS and its credible interval to design efficacy interim. In the proposed method, the efficacy boundary is adjustable to offset newly emerged safety signal.

Efficacy of the Kyoto Classification of Gastritis in Identifying Patients at High Risk for Gastric Cancer.

PubMed

Sugimoto, Mitsushige; Ban, Hiromitsu; Ichikawa, Hitomi; Sahara, Shu; Otsuka, Taketo; Inatomi, Osamu; Bamba, Shigeki; Furuta, Takahisa; Andoh, Akira

2017-01-01

Objective The Kyoto gastritis classification categorizes the endoscopic characteristics of Helicobacter pylori (H. pylori) infection-associated gastritis and identifies patterns associated with a high risk of gastric cancer. We investigated its efficacy, comparing scores in patients with H. pylori-associated gastritis and with gastric cancer. Methods A total of 1,200 patients with H. pylori-positive gastritis alone (n=932), early-stage H. pylori-positive gastric cancer (n=189), and successfully treated H. pylori-negative cancer (n=79) were endoscopically graded according to the Kyoto gastritis classification for atrophy, intestinal metaplasia, fold hypertrophy, nodularity, and diffuse redness. Results The prevalence of O-II/O-III-type atrophy according to the Kimura-Takemoto classification in early-stage H. pylori-positive gastric cancer and successfully treated H. pylori-negative cancer groups was 45.1%, which was significantly higher than in subjects with gastritis alone (12.7%, p<0.001). Kyoto gastritis scores of atrophy and intestinal metaplasia in the H. pylori-positive cancer group were significantly higher than in subjects with gastritis alone (all p<0.001). No significant differences were noted in the rates of gastric fold hypertrophy or diffuse redness between the two groups. In a multivariate analysis, the risks for H. pylori-positive gastric cancer increased with intestinal metaplasia (odds ratio: 4.453, 95% confidence interval: 3.332-5.950, <0.001) and male sex (1.737, 1.102-2.739, p=0.017). Conclusion Making an appropriate diagnosis and detecting patients at high risk is crucial for achieving total eradication of gastric cancer. The scores of intestinal metaplasia and atrophy of the scoring system in the Kyoto gastritis classification may thus be useful for detecting these patients.

The Exploration of Elementary School Teachers' Internet Self-Efficacy and Information Commitments: A Study in Taiwan

ERIC Educational Resources Information Center

Wu, Ying-Tien; Wang, Li-Jen

2015-01-01

This study aimed to explore teachers' Internet self-efficacy and information commitments. More importantly, this study also attempted to identify possible factors that affect the teachers' Internet self-efficacy. The participants were 301 elementary school teachers. In this study, the Internet Self-efficacy Survey (ISS) and the Information…

Early Childhood Teachers' Efficacy in the US Rural Midwest: Teaching Culturally Diverse Learners

ERIC Educational Resources Information Center

Atiles, Julia Teresa; Douglas, Jonathan Robert; Allexsaht-Snider, Martha

2017-01-01

Purpose: The purpose of this study was to explore early childhood teachers' sense of efficacy for working with immigrant children. In addition, this study examined the relationship of early childhood teachers' sense of efficacy to their multicultural attitudes. Design/methodology/approach: Ninety early childhood teacher participants completed a…

Integrated Approaches to Drug Discovery for Oxidative Stress-Related Retinal Diseases.

PubMed

Nishimura, Yuhei; Hara, Hideaki

2016-01-01

Excessive oxidative stress induces dysregulation of functional networks in the retina, resulting in retinal diseases such as glaucoma, age-related macular degeneration, and diabetic retinopathy. Although various therapies have been developed to reduce oxidative stress in retinal diseases, most have failed to show efficacy in clinical trials. This may be due to oversimplification of target selection for such a complex network as oxidative stress. Recent advances in high-throughput technologies have facilitated the collection of multilevel omics data, which has driven growth in public databases and in the development of bioinformatics tools. Integration of the knowledge gained from omics databases can be used to generate disease-related biological networks and to identify potential therapeutic targets within the networks. Here, we provide an overview of integrative approaches in the drug discovery process and provide simple examples of how the approaches can be exploited to identify oxidative stress-related targets for retinal diseases.

Parent Caregiver Self-Efficacy and Child Reactions to Pediatric Cancer Treatment Procedures

PubMed Central

Peterson, Amy M.; Harper, Felicity W. K.; Albrecht, Terrance L.; Taub, Jeffrey W.; Orom, Heather; Phipps, Sean; Penner, Louis A.

2014-01-01

This study examined how parents’ sense of self-efficacy specific to caregiving for their child during cancer treatment procedures affected children’s distress and cooperation during procedures. Potential correlates of caregiver self-efficacy (ie, demographics, child clinical characteristics, parent dispositional attributes, and social support) were also examined. Participants were 119 children undergoing cancer treatment procedures and their parents. Parents’ self-efficacy about 6 procedure-specific caregiver tasks was measured. Parents, children, nurses, and observers rated child distress and parents, nurses and observers rated child cooperation during procedures. Higher parent self-efficacy about keeping children calm during procedures predicted lower child distress and higher child cooperation during procedures. Parent dispositional attributes (eg, enduring positive mood, empathy) and social support predicted self-efficacy. Parent caregiver self-efficacy influences child distress and cooperation during procedures and is associated with certain parent attributes. Findings suggest the utility of identifying parents who would benefit from targeted interventions to increase self-efficacy about caregiving during treatment procedures. PMID:24378818

A Systems Genetic Approach to Identify Low Dose Radiation-Induced Lymphoma Susceptibility/DOE2013FinalReport

DOE Office of Scientific and Technical Information (OSTI.GOV)

Balmain, Allan; Song, Ihn Young

2013-05-15

The ultimate goal of this project is to identify the combinations of genetic variants that confer an individual's susceptibility to the effects of low dose (0.1 Gy) gamma-radiation, in particular with regard to tumor development. In contrast to the known effects of high dose radiation in cancer induction, the responses to low dose radiation (defined as 0.1 Gy or less) are much less well understood, and have been proposed to involve a protective anti-tumor effect in some in vivo scientific models. These conflicting results confound attempts to develop predictive models of the risk of exposure to low dose radiation, particularlymore » when combined with the strong effects of inherited genetic variants on both radiation effects and cancer susceptibility. We have used a Systems Genetics approach in mice that combines genetic background analysis with responses to low and high dose radiation, in order to develop insights that will allow us to reconcile these disparate observations. Using this comprehensive approach we have analyzed normal tissue gene expression (in this case the skin and thymus), together with the changes that take place in this gene expression architecture a) in response to low or high- dose radiation and b) during tumor development. Additionally, we have demonstrated that using our expression analysis approach in our genetically heterogeneous/defined radiation-induced tumor mouse models can uniquely identify genes and pathways relevant to human T-ALL, and uncover interactions between common genetic variants of genes which may lead to tumor susceptibility.« less

Systems level mapping of metabolic complexity in Mycobacterium tuberculosis to identify high-value drug targets.

PubMed

Vashisht, Rohit; Bhat, Ashwini G; Kushwaha, Shreeram; Bhardwaj, Anshu; Brahmachari, Samir K

2014-10-11

The effectiveness of current therapeutic regimens for Mycobacterium tuberculosis (Mtb) is diminished by the need for prolonged therapy and the rise of drug resistant/tolerant strains. This global health threat, despite decades of basic research and a wealth of legacy knowledge, is due to a lack of systems level understanding that can innovate the process of fast acting and high efficacy drug discovery. The enhanced functional annotations of the Mtb genome, which were previously obtained through a crowd sourcing approach was used to reconstruct the metabolic network of Mtb in a bottom up manner. We represent this information by developing a novel Systems Biology Spindle Map of Metabolism (SBSM) and comprehend its static and dynamic structure using various computational approaches based on simulation and design. The reconstructed metabolism of Mtb encompasses 961 metabolites, involved in 1152 reactions catalyzed by 890 protein coding genes, organized into 50 pathways. By accounting for static and dynamic analysis of SBSM in Mtb we identified various critical proteins required for the growth and survival of bacteria. Further, we assessed the potential of these proteins as putative drug targets that are fast acting and less toxic. Further, we formulate a novel concept of metabolic persister genes (MPGs) and compared our predictions with published in vitro and in vivo experimental evidence. Through such analyses, we report for the first time that de novo biosynthesis of NAD may give rise to bacterial persistence in Mtb under conditions of metabolic stress induced by conventional anti-tuberculosis therapy. We propose such MPG's as potential combination of drug targets for existing antibiotics that can improve their efficacy and efficiency for drug tolerant bacteria. The systems level framework formulated by us to identify potential non-toxic drug targets and strategies to circumvent the issue of bacterial persistence can substantially aid in the process of TB drug

A likelihood-based approach to identifying contaminated food products using sales data: performance and challenges.

PubMed

Kaufman, James; Lessler, Justin; Harry, April; Edlund, Stefan; Hu, Kun; Douglas, Judith; Thoens, Christian; Appel, Bernd; Käsbohrer, Annemarie; Filter, Matthias

2014-07-01

Foodborne disease outbreaks of recent years demonstrate that due to increasingly interconnected supply chains these type of crisis situations have the potential to affect thousands of people, leading to significant healthcare costs, loss of revenue for food companies, and--in the worst cases--death. When a disease outbreak is detected, identifying the contaminated food quickly is vital to minimize suffering and limit economic losses. Here we present a likelihood-based approach that has the potential to accelerate the time needed to identify possibly contaminated food products, which is based on exploitation of food products sales data and the distribution of foodborne illness case reports. Using a real world food sales data set and artificially generated outbreak scenarios, we show that this method performs very well for contamination scenarios originating from a single "guilty" food product. As it is neither always possible nor necessary to identify the single offending product, the method has been extended such that it can be used as a binary classifier. With this extension it is possible to generate a set of potentially "guilty" products that contains the real outbreak source with very high accuracy. Furthermore we explore the patterns of food distributions that lead to "hard-to-identify" foods, the possibility of identifying these food groups a priori, and the extent to which the likelihood-based method can be used to quantify uncertainty. We find that high spatial correlation of sales data between products may be a useful indicator for "hard-to-identify" products.

Identifying and assessing the application of ecosystem services approaches in environmental policies and decision making.

PubMed

Van Wensem, Joke; Calow, Peter; Dollacker, Annik; Maltby, Lorraine; Olander, Lydia; Tuvendal, Magnus; Van Houtven, George

2017-01-01

The presumption is that ecosystem services (ES) approaches provide a better basis for environmental decision making than do other approaches because they make explicit the connection between human well-being and ecosystem structures and processes. However, the existing literature does not provide a precise description of ES approaches for environmental policy and decision making, nor does it assess whether these applications will make a difference in terms of changing decisions and improving outcomes. We describe 3 criteria that can be used to identify whether and to what extent ES approaches are being applied: 1) connect impacts all the way from ecosystem changes to human well-being, 2) consider all relevant ES affected by the decision, and 3) consider and compare the changes in well-being of different stakeholders. As a demonstration, we then analyze retrospectively whether and how the criteria were met in different decision-making contexts. For this assessment, we have developed an analysis format that describes the type of policy, the relevant scales, the decisions or questions, the decision maker, and the underlying documents. This format includes a general judgment of how far the 3 ES criteria have been applied. It shows that the criteria can be applied to many different decision-making processes, ranging from the supranational to the local scale and to different parts of decision-making processes. In conclusion we suggest these criteria could be used for assessments of the extent to which ES approaches have been and should be applied, what benefits and challenges arise, and whether using ES approaches made a difference in the decision-making process, decisions made, or outcomes of those decisions. Results from such studies could inform future use and development of ES approaches, draw attention to where the greatest benefits and challenges are, and help to target integration of ES approaches into policies, where they can be most effective. Integr Environ

A systematic review of the efficacy and limitations of venous intervention in stasis ulceration.

PubMed

Montminy, Myriam L; Jayaraj, Arjun; Raju, Seshadri

2018-05-01

Surgical techniques to address various components of chronic venous disease are rapidly evolving. Their efficacy and generally good results in treating superficial venous reflux (SVR) have been documented and compared in patients presenting with pain and swelling. A growing amount of literature is now available suggesting their efficacy in patients with venous leg ulcer (VLU). This review attempts to summarize the efficacy and limitations of commonly used venous interventions in the treatment of SVR and incompetent perforator veins (IPVs) in patients with VLU. A systematic review of the published literature was performed. Two different searches were conducted in MEDLINE, Embase, and EBSCOhost to identify studies that examined the efficacy of SVR ablation and IPV ablation on healing rate and recurrence rate of VLU. In the whole review, 1940 articles were screened. Of those, 45 were included in the SVR ablation review and 4 in the IPV ablation review. Data were too heterogeneous to perform an adequate meta-analysis. The quality of evidence assessed by the Grading of Recommendations Assessment, Development, and Evaluation for the two outcomes varied from very low to moderate. Ulcer healing rate and recurrence rate were between 70% and 100% and 0% and 49% in the SVR ablation review and between 59% and 93% and 4% and 33% in the IPV ablation review, respectively. To explain those variable results, limitations such as inadequate diagnostic techniques, saphenous size, concomitant calf pump dysfunction, and associated deep venous reflux are discussed. Currently available minimally invasive techniques correct most venous pathologic processes in chronic venous disease with a good sustainable healing rate. There are still specific diagnostic and efficacy limitations that mandate proper match of individual patients with the planned approach. Copyright © 2017 Society for Vascular Surgery. Published by Elsevier Inc. All rights reserved.

Changes in Biology Self-Efficacy during a First-Year University Course

PubMed Central

Ainscough, Louise; Foulis, Eden; Colthorpe, Kay; Zimbardi, Kirsten; Robertson-Dean, Melanie; Chunduri, Prasad; Lluka, Lesley

2016-01-01

Academic self-efficacy encompasses judgments regarding one’s ability to perform academic tasks and is correlated with achievement and persistence. This study describes changes in biology self-efficacy during a first-year course. Students (n = 614) were given the Biology Self-Efficacy Scale at the beginning and end of the semester. The instrument consisted of 21 questions ranking confidence in performing biology-related tasks on a scale from 1 (not at all confident) to 5 (totally confident). The results demonstrated that students increased in self-efficacy during the semester. High school biology and chemistry contributed to self-efficacy at the beginning of the semester; however, this relationship was lost by the end of the semester, when experience within the course became a significant contributing factor. A proportion of high- and low- achieving (24 and 40%, respectively) students had inaccurate self-efficacy judgments of their ability to perform well in the course. In addition, female students were significantly less confident than males overall, and high-achieving female students were more likely than males to underestimate their academic ability. These results suggest that the Biology Self-Efficacy Scale may be a valuable resource for tracking changes in self-efficacy in first-year students and for identifying students with poorly calibrated self-efficacy perceptions. PMID:27193290

Management Approaches to Stomal and Peristomal Complications: A Narrative Descriptive Study.

PubMed

Beitz, Janice M; Colwell, Janice C

2016-01-01

The purpose of this study was to identify optimal interventions for selected complications based on WOC nurse experts' judgment/expertise. A cross-sectional quantitative descriptive design with qualitative, narrative-type components was used for this study. Following validation rating of appropriateness of interventions and quantitative rankings of first-, second-, and third-line approaches, participants provided substantive handwritten narrative comments about listed interventions. Comments were organized and prioritized using frequency count. Narrative comments reflected the quantitative rankings of efficacy of approaches. Clinicians offered further specific suggestions regarding product use and progression of care for selected complications. Narrative analysis using descriptive quantitative frequency count supported the rankings of most preferred treatments of selected stomal and peristomal complications. Findings add to the previous research on prioritized approaches and evidence-based practice in ostomy care.

Identifying key performance indicators for nursing and midwifery care using a consensus approach.

PubMed

McCance, Tanya; Telford, Lorna; Wilson, Julie; Macleod, Olive; Dowd, Audrey

2012-04-01

The aim of this study was to gain consensus on key performance indicators that are appropriate and relevant for nursing and midwifery practice in the current policy context. There is continuing demand to demonstrate effectiveness and efficiency in health and social care and to communicate this at boardroom level. Whilst there is substantial literature on the use of clinical indicators and nursing metrics, there is less evidence relating to indicators that reflect the patient experience. A consensus approach was used to identify relevant key performance indicators. A nominal group technique was used comprising two stages: a workshop involving all grades of nursing and midwifery staff in two HSC trusts in Northern Ireland (n = 50); followed by a regional Consensus Conference (n = 80). During the workshop, potential key performance indicators were identified. This was used as the basis for the Consensus Conference, which involved two rounds of consensus. Analysis was based on aggregated scores that were then ranked. Stage one identified 38 potential indicators and stage two prioritised the eight top-ranked indicators as a core set for nursing and midwifery. The relevance and appropriateness of these indicators were confirmed with nurses and midwives working in a range of settings and from the perspective of service users. The eight indicators identified do not conform to the majority of other nursing metrics generally reported in the literature. Furthermore, they are strategically aligned to work on the patient experience and are reflective of the fundamentals of nursing and midwifery practice, with the focus on person-centred care. Nurses and midwives have a significant contribution to make in determining the extent to which these indicators are achieved in practice. Furthermore, measurement of such indicators provides an opportunity to evidence of the unique impact of nursing/midwifery care on the patient experience. © 2011 Blackwell Publishing Ltd.

In vivo CRISPR screening identifies Ptpn2 as a cancer immunotherapy target.

PubMed

Manguso, Robert T; Pope, Hans W; Zimmer, Margaret D; Brown, Flavian D; Yates, Kathleen B; Miller, Brian C; Collins, Natalie B; Bi, Kevin; LaFleur, Martin W; Juneja, Vikram R; Weiss, Sarah A; Lo, Jennifer; Fisher, David E; Miao, Diana; Van Allen, Eliezer; Root, David E; Sharpe, Arlene H; Doench, John G; Haining, W Nicholas

2017-07-27

Immunotherapy with PD-1 checkpoint blockade is effective in only a minority of patients with cancer, suggesting that additional treatment strategies are needed. Here we use a pooled in vivo genetic screening approach using CRISPR-Cas9 genome editing in transplantable tumours in mice treated with immunotherapy to discover previously undescribed immunotherapy targets. We tested 2,368 genes expressed by melanoma cells to identify those that synergize with or cause resistance to checkpoint blockade. We recovered the known immune evasion molecules PD-L1 and CD47, and confirmed that defects in interferon-γ signalling caused resistance to immunotherapy. Tumours were sensitized to immunotherapy by deletion of genes involved in several diverse pathways, including NF-κB signalling, antigen presentation and the unfolded protein response. In addition, deletion of the protein tyrosine phosphatase PTPN2 in tumour cells increased the efficacy of immunotherapy by enhancing interferon-γ-mediated effects on antigen presentation and growth suppression. In vivo genetic screens in tumour models can identify new immunotherapy targets in unanticipated pathways.

Identifying Opportunities for Decision Support Systems in Support of Regional Resource Use Planning: An Approach Through Soft Systems Methodology.

PubMed

Zhu; Dale

2000-10-01

/ Regional resource use planning relies on key regional stakeholder groups using and having equitable access to appropriate social, economic, and environmental information and assessment tools. Decision support systems (DSS) can improve stakeholder access to such information and analysis tools. Regional resource use planning, however, is a complex process involving multiple issues, multiple assessment criteria, multiple stakeholders, and multiple values. There is a need for an approach to DSS development that can assist in understanding and modeling complex problem situations in regional resource use so that areas where DSSs could provide effective support can be identified, and the user requirements can be well established. This paper presents an approach based on the soft systems methodology for identifying DSS opportunities for regional resource use planning, taking the Central Highlands Region of Queensland, Australia, as a case study.

Application of surrogates, indicators, and high-resolution mass spectrometry to evaluate the efficacy of UV processes for attenuation of emerging contaminants in water.

PubMed

Merel, Sylvain; Anumol, Tarun; Park, Minkyu; Snyder, Shane A

2015-01-23

In response to water scarcity, strategies relying on multiple processes to turn wastewater effluent into potable water are being increasingly considered by many cities. In such context, the occurrence of contaminants as well as their fate during treatment processes is a major concern. Three analytical approaches where used to characterize the efficacy of UV and UV/H2O2 processes on a secondary wastewater effluent. The first analytical approach assessed bulk organic parameters or surrogates before and after treatment, while the second analytical approach measured the removal of specific indicator compounds. Sixteen trace organic contaminants were selected due to their relative high concentration and detection frequency over eight monitoring campaigns. While their removal rate ranges from approximately 10 to >90%, some of these compounds can be used to gauge process efficacy (or failure). The third analytical approach assessed the fate of unknown contaminants through high-resolution time-of-flight (TOF) mass spectrometry with advanced data processing and demonstrated the occurrence of several thousand organic compounds in the water. A heat map clearly evidenced compounds as recalcitrant or transformed by the UV processes applied. In addition, those chemicals with similar fate were grouped together into clusters to identify new indicator compounds. In this manuscript, each approach is evaluated with advantages and disadvantages compared. Copyright © 2014 Elsevier B.V. All rights reserved.

Application of surrogates, indicators, and high-resolution mass spectrometry to evaluate the efficacy of UV processes for attenuation of emerging contaminants in water

PubMed Central

Merel, Sylvain; Anumol, Tarun; Park, Minkyu; Snyder, Shane A.

2016-01-01

In response to water scarcity, strategies relying on multiple processes to turn wastewater effluent into potable water are being increasingly considered by many cities. In such context, the occurrence of contaminants as well as their fate during treatment processes is a major concern. Three analytical approaches where used to characterize the efficacy of UV and UV/H2O2 processes on a secondary wastewater effluent. The first analytical approach assessed bulk organic parameters or surrogates before and after treatment, while the second analytical approach measured the removal of specific indicator compounds. Sixteen trace organic contaminants were selected due to their relative high concentration and detection frequency over eight monitoring campaigns. While their removal rate ranges from approximately 10 to >90%, some of these compounds can be used to gauge process efficacy (or failure). The third analytical approach assessed the fate of unknown contaminants through high-resolution time-of-flight (TOF) mass spectrometry with advanced data processing and demonstrated the occurrence of several thousand organic compounds in the water. A heat map clearly evidenced compounds as recalcitrant or transformed by the UV processes applied. In addition, those chemicals with similar fate were able to be grouped together into clusters to identify new indicator compounds. In this manuscript, each approach is evaluated with advantages and disadvantages compared. PMID:25262385

Women's perceptions of contraceptive efficacy and safety.

PubMed

Kakaiya, Roshni; Lopez, Lia L; Nelson, Anita L

2017-01-01

Adoption of contraceptive implants and intrauterine devices has been less than might be expected given their superior efficacy and convenience. The purpose of this study was to assess knowledge and beliefs held by women, which may influence their contraceptive choices and theirongoing utilization of contraceptive methods. English speaking, nonpregnant, reproductive-age women, who were not surgically sterilized, were individually interviewed to obtain limited demographic characteristics and to assess their knowledge about the efficacy of various contraceptive methods in typical use and about the relative safety of oral contraceptives. A convenience sample of 500 women aged 18-45 years, with education levels that ranged from middle school to postdoctoral level was interviewed. The efficacy in typical use of both combined oral contraceptives and male condoms was correctly estimated by 2.2%; over two-thirds of women significantly over estimated the efficacy of each of those methods in typical use. Oral contraceptives were thought to be at least as hazardous to a woman's health as pregnancy by 56% of women. The majority of reproductive aged women surveyed substantially overestimated the efficacy of the two most popular contraceptive methods, often saying that they were 99% effective. Women with higher education levels were most likely to overestimate efficacy of oral contraceptives. Women of all ages and education levels significantly overestimated the health hazards of oral contraceptives compared to pregnancy. Overestimation of effectiveness of these methods of contraception, may contribute to lower adoption of implants and intrauterine devices. When individualizing patient counselling, misperceptions must be identified and addressed with women of all educational backgrounds. Not applicable.

Attachment and coping of dementia care staff: The role of staff attachment style, geriatric nursing self-efficacy, and approaches to dementia in burnout.

PubMed

Kokkonen, Taru-Maija; Cheston, Richard I L; Dallos, Rudi; Smart, Cordet A

2014-07-01

Past research suggests that dementia care staff are vulnerable to the development of burnout, which has implications for staff well-being and hence the quality of care for people with dementia. Studying personal vulnerability factors in burnout is important as it can guide staff training and support. Attachment theory suggests that adult attachment styles affect caregiving relationships and individuals' responses to stress, providing a framework for understanding caregivers' styles of coping. This cross-sectional survey study examined relationships between staff attachment styles, geriatric nursing self-efficacy, and approaches to dementia in burnout. Seventy-seven members of dementia care staff working on inpatient wards for older people completed self-report questionnaires. Insecure attachment, lower levels of self-efficacy, and more optimistic attitudes in staff were related to higher levels of burnout. Staff training on the role of attachment in dementia care is recommended. Further research is required to explore mediating factors between adult attachment styles and burnout. © The Author(s) 2013 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.

A general model-based design of experiments approach to achieve practical identifiability of pharmacokinetic and pharmacodynamic models.

PubMed

Galvanin, Federico; Ballan, Carlo C; Barolo, Massimiliano; Bezzo, Fabrizio

2013-08-01

The use of pharmacokinetic (PK) and pharmacodynamic (PD) models is a common and widespread practice in the preliminary stages of drug development. However, PK-PD models may be affected by structural identifiability issues intrinsically related to their mathematical formulation. A preliminary structural identifiability analysis is usually carried out to check if the set of model parameters can be uniquely determined from experimental observations under the ideal assumptions of noise-free data and no model uncertainty. However, even for structurally identifiable models, real-life experimental conditions and model uncertainty may strongly affect the practical possibility to estimate the model parameters in a statistically sound way. A systematic procedure coupling the numerical assessment of structural identifiability with advanced model-based design of experiments formulations is presented in this paper. The objective is to propose a general approach to design experiments in an optimal way, detecting a proper set of experimental settings that ensure the practical identifiability of PK-PD models. Two simulated case studies based on in vitro bacterial growth and killing models are presented to demonstrate the applicability and generality of the methodology to tackle model identifiability issues effectively, through the design of feasible and highly informative experiments.

[New questionnaire to assess self-efficacy toward physical activity in children].

PubMed

Aedo, Angeles; Avila, Héctor

2009-10-01

To design a questionnaire for assessment of self-efficacy toward physical activity in school children, as well as to measure its construct validity, test-retest reliability, and internal consistency. A four-stage multimethod approach was used: (1) bibliographic research followed by exploratory study and the formulation of questions and responses based on a dichotomous scale of 14 items; (2) validation of the content by a panel of experts; (3) application of the preliminary version of the questionnaire to a sample of 900 school-aged children in Mexico City; and (4) determination of the construct validity, test-retest reliability, and internal consistency (Cronbach's alpha). Three factors were identified that explain 64.15% of the variance: the search for positive alternatives to physical activity, ability to deal with possible barriers to exercising, and expectations of skill or competence. The model was validated using the goodness of fit, and the result of 65% less than 0.05 indicated that the estimated factor model fit the data. Cronbach's consistency alpha was 0.733; test-retest reliability was 0.867. The scale designed has adequate reliability and validity. These results are a good indicator of self-efficacy toward physical activity in school children, which is important when developing programs intended to promote such behavior in this age group.

Pharmacogenetic meta-analysis of baseline risk factors, pharmacodynamic, efficacy and tolerability endpoints from two large global cardiovascular outcomes trials for darapladib.

PubMed

Yeo, Astrid; Li, Li; Warren, Liling; Aponte, Jennifer; Fraser, Dana; King, Karen; Johansson, Kelley; Barnes, Allison; MacPhee, Colin; Davies, Richard; Chissoe, Stephanie; Tarka, Elizabeth; O'Donoghue, Michelle L; White, Harvey D; Wallentin, Lars; Waterworth, Dawn

2017-01-01

Darapladib, a lipoprotein-associated phospholipase A2 (Lp-PLA2) inhibitor, failed to demonstrate efficacy for the primary endpoints in two large phase III cardiovascular outcomes trials, one in stable coronary heart disease patients (STABILITY) and one in acute coronary syndrome (SOLID-TIMI 52). No major safety signals were observed but tolerability issues of diarrhea and odor were common (up to 13%). We hypothesized that genetic variants associated with Lp-PLA2 activity may influence efficacy and tolerability and therefore performed a comprehensive pharmacogenetic analysis of both trials. We genotyped patients within the STABILITY and SOLID-TIMI 52 trials who provided a DNA sample and consent (n = 13,577 and 10,404 respectively, representing 86% and 82% of the trial participants) using genome-wide arrays with exome content and performed imputation using a 1000 Genomes reference panel. We investigated baseline and change from baseline in Lp-PLA2 activity, two efficacy endpoints (major coronary events and myocardial infarction) as well as tolerability parameters at genome-wide and candidate gene level using a meta-analytic approach. We replicated associations of published loci on baseline Lp-PLA2 activity (APOE, CELSR2, LPA, PLA2G7, LDLR and SCARB1) and identified three novel loci (TOMM5, FRMD5 and LPL) using the GWAS-significance threshold P≤5E-08. Review of the PLA2G7 gene (encoding Lp-PLA2) within these datasets identified V279F null allele carriers as well as three other rare exonic null alleles within various ethnic groups, however none of these variants nor any other loci associated with Lp-PLA2 activity at baseline were associated with any of the drug response endpoints. The analysis of darapladib efficacy endpoints, despite low power, identified six low frequency loci with main genotype effect (though with borderline imputation scores) and one common locus (minor allele frequency 0.24) with genotype by treatment interaction effect passing the GWAS

Efficacy of Blended Preservice Training for Resource Parents

PubMed Central

White, Lee; Delaney, Richard; Pacifici, Caesar; Nelson, Carol; Whitkin, Josh; Lovejoy, Maureen; Smalley, Betsy Keefer

2017-01-01

To evaluate a new way of meeting the growing demand for training prospective resource parents, our study compared the efficacy of a blended online and in-person approach with a traditional classroom-only approach. Findings based on a sample of 111 resource parent prospects showed significantly greater gains in knowledge from pre- to posttest for the blended approach over the classroom-only approach. The blended approach also produced dramatically lower dropout rates during preservice training. Both groups made significant gains in parenting awareness from pre to post, but those gains were greater for the classroom-only approach. Post hoc analyses examined this finding more closely. Satisfaction with training was comparably high for both groups. Gains in knowledge and awareness were sustained at a 3-month follow-up assessment. PMID:28626240

A fluorescent approach for identifying P2X1 ligands

PubMed Central

Ruepp, Marc-David; Brozik, James A.; de Esch, Iwan J.P.; Farndale, Richard W.; Murrell-Lagnado, Ruth D.; Thompson, Andrew J.

2015-01-01

There are no commercially available, small, receptor-specific P2X1 ligands. There are several synthetic derivatives of the natural agonist ATP and some structurally-complex antagonists including compounds such as PPADS, NTP-ATP, suramin and its derivatives (e.g. NF279, NF449). NF449 is the most potent and selective ligand, but potencies of many others are not particularly high and they can also act at other P2X, P2Y and non-purinergic receptors. While there is clearly scope for further work on P2X1 receptor pharmacology, screening can be difficult owing to rapid receptor desensitisation. To reduce desensitisation substitutions can be made within the N-terminus of the P2X1 receptor, but these could also affect ligand properties. An alternative is the use of fluorescent voltage-sensitive dyes that respond to membrane potential changes resulting from channel opening. Here we utilised this approach in conjunction with fragment-based drug-discovery. Using a single concentration (300 μM) we identified 46 novel leads from a library of 1443 fragments (hit rate = 3.2%). These hits were independently validated by measuring concentration-dependence with the same voltage-sensitive dye, and by visualising the competition of hits with an Alexa-647-ATP fluorophore using confocal microscopy; confocal yielded kon (1.142 × 106 M−1 s−1) and koff (0.136 s−1) for Alexa-647-ATP (Kd = 119 nM). The identified hit fragments had promising structural diversity. In summary, the measurement of functional responses using voltage-sensitive dyes was flexible and cost-effective because labelled competitors were not needed, effects were independent of a specific binding site, and both agonist and antagonist actions were probed in a single assay. The method is widely applicable and could be applied to all P2X family members, as well as other voltage-gated and ligand-gated ion channels. This article is part of the Special Issue entitled ‘Fluorescent Tools in Neuropharmacology�

A fluorescent approach for identifying P2X1 ligands.

PubMed

Ruepp, Marc-David; Brozik, James A; de Esch, Iwan J P; Farndale, Richard W; Murrell-Lagnado, Ruth D; Thompson, Andrew J

2015-11-01

There are no commercially available, small, receptor-specific P2X1 ligands. There are several synthetic derivatives of the natural agonist ATP and some structurally-complex antagonists including compounds such as PPADS, NTP-ATP, suramin and its derivatives (e.g. NF279, NF449). NF449 is the most potent and selective ligand, but potencies of many others are not particularly high and they can also act at other P2X, P2Y and non-purinergic receptors. While there is clearly scope for further work on P2X1 receptor pharmacology, screening can be difficult owing to rapid receptor desensitisation. To reduce desensitisation substitutions can be made within the N-terminus of the P2X1 receptor, but these could also affect ligand properties. An alternative is the use of fluorescent voltage-sensitive dyes that respond to membrane potential changes resulting from channel opening. Here we utilised this approach in conjunction with fragment-based drug-discovery. Using a single concentration (300 μM) we identified 46 novel leads from a library of 1443 fragments (hit rate = 3.2%). These hits were independently validated by measuring concentration-dependence with the same voltage-sensitive dye, and by visualising the competition of hits with an Alexa-647-ATP fluorophore using confocal microscopy; confocal yielded kon (1.142 × 10(6) M(-1) s(-1)) and koff (0.136 s(-1)) for Alexa-647-ATP (Kd = 119 nM). The identified hit fragments had promising structural diversity. In summary, the measurement of functional responses using voltage-sensitive dyes was flexible and cost-effective because labelled competitors were not needed, effects were independent of a specific binding site, and both agonist and antagonist actions were probed in a single assay. The method is widely applicable and could be applied to all P2X family members, as well as other voltage-gated and ligand-gated ion channels. This article is part of the Special Issue entitled 'Fluorescent Tools in Neuropharmacology'. Copyright �

Identifying predictors of physics item difficulty: A linear regression approach

NASA Astrophysics Data System (ADS)

Mesic, Vanes; Muratovic, Hasnija

2011-06-01

Large-scale assessments of student achievement in physics are often approached with an intention to discriminate students based on the attained level of their physics competencies. Therefore, for purposes of test design, it is important that items display an acceptable discriminatory behavior. To that end, it is recommended to avoid extraordinary difficult and very easy items. Knowing the factors that influence physics item difficulty makes it possible to model the item difficulty even before the first pilot study is conducted. Thus, by identifying predictors of physics item difficulty, we can improve the test-design process. Furthermore, we get additional qualitative feedback regarding the basic aspects of student cognitive achievement in physics that are directly responsible for the obtained, quantitative test results. In this study, we conducted a secondary analysis of data that came from two large-scale assessments of student physics achievement at the end of compulsory education in Bosnia and Herzegovina. Foremost, we explored the concept of “physics competence” and performed a content analysis of 123 physics items that were included within the above-mentioned assessments. Thereafter, an item database was created. Items were described by variables which reflect some basic cognitive aspects of physics competence. For each of the assessments, Rasch item difficulties were calculated in separate analyses. In order to make the item difficulties from different assessments comparable, a virtual test equating procedure had to be implemented. Finally, a regression model of physics item difficulty was created. It has been shown that 61.2% of item difficulty variance can be explained by factors which reflect the automaticity, complexity, and modality of the knowledge structure that is relevant for generating the most probable correct solution, as well as by the divergence of required thinking and interference effects between intuitive and formal physics knowledge

Baseline recruitment and analyses of nonresponse of the Heinz Nixdorf Recall Study: identifiability of phone numbers as the major determinant of response.

PubMed

Stang, A; Moebus, S; Dragano, N; Beck, E M; Möhlenkamp, S; Schmermund, A; Siegrist, J; Erbel, R; Jöckel, K H

2005-01-01

The Heinz Nixdorf Recall Study is an ongoing population-based prospective cardiovascular cohort study of the Ruhr area in Germany. This paper focuses on the recruitment strategy and its response results including a comparison of participants of the baseline examination with nonparticipants. Random samples of the general population were drawn from residents' registration offices including men and women aged 45-74 years. We used a multimode contact approach including an invitational letter, a maximum of two reminder letters and phone calls for the recruitment of study subjects. Nonparticipants were asked to fill in a short questionnaire. We calculated proportions of response, contact, cooperation and recruitment efficacy to characterize the participation. Overall, 4487 eligible subjects participated in our study. Although the elderly (65-75 years) had the highest contact proportion, the cooperation proportion was the lowest among both men and women. The recruitment efficacy proportion was highest among subjects aged 55-64 years. The identifiability of the phone number of study subjects was an important determinant of response. The recruitment efficacy proportion among subjects without an identified phone number was 11.4% as compared to 65.3% among subjects with an identified phone number. The majority of subjects agreed to participate after one invitational letter only (52.6%). A second reminding letter contributed only very few participants to the study. Nonparticipants were more often current smokers than participants and less often belonged to the highest social class. Living in a regular relationship with a partner was more often reported among participants than nonparticipants.

Discovery of reversible DNA methyltransferase and lysine methyltransferase G9a inhibitors with antitumoral in vivo efficacy.

PubMed

Rabal, Obdulia; San José-Eneriz, Edurne; Agirre, Xabier; Sánchez-Arias, Juan A; Vilas-Zornoza, Amaia; Ugarte, Ana; De Miguel, Irene; Miranda, Estibaliz; Garate, Leire; Fraga, Mario; Santamarina, Pablo; Fernandez Perez, Raul; Ordoñez, Raquel; Sáez, Elena; Roa, Sergio; Garcia-Barchino, Maria Jose; Martinez-Climent, Jose Angel; Liu, Yingying; Wu, Wei; Xu, Musheng; Prosper, Felipe; Oyarzabal, Julen

2018-06-28

Using knowledge- and structure-based approaches, we designed and synthesized reversible chemical probes that simultaneously inhibit the activity of two epigenetic targets, histone 3 lysine 9 methyltransferase (G9a) and DNA methyltransferases (DNMT), at nanomolar ranges. Enzymatic competition assays confirmed our design strategy: substrate competitive inhibitors. Next, an initial exploration around our hit 11 was pursued to identify an adequate tool compound for in vivo testing. In vitro treatment of different hematological neoplasia cell lines led to the identification of molecules with clear anti-proliferative efficacies (GI50 values in the nanomolar range). Based on epigenetic functional cellular responses (levels of lysine 9 methylation and 5-methylcytosine), an acceptable therapeutic window (around 1 log unit) and a suitable pharmacokinetic profile, 12 was selected for in vivo proof-of-concept (ref 53). Herein, 12 achieved a significant in vivo efficacy: 70% overall tumor growth inhibition of a human AML (Acute Myeloid Leukemia) xenograft in a mouse model.

The Correlation Between Metacognition Level with Self-Efficacy of Biology Education College Students

NASA Astrophysics Data System (ADS)

Ridlo, S.; Lutfiya, F.

2017-04-01

Self-efficacy is a strong predictor of academic achievement. Self-efficacy refers to the ability of college students to achieve the desired results. The metacognition level can influence college student’s self-efficacy. This study aims to identify college student’s metacognition level and self-efficacy, as well as determine the relationship between self-efficacy and metacognition level for college students of Biology Education 2013, Semarang State University. The ex-post facto quantitative research was conducted on 99 students Academic Year 2015/2016. Saturation sampling technique determined samples. E-D scale collected data for self-efficacy identification. Data for assess the metacognition level collected by Metacognitive Awareness Inventory. Data were analysed quantitatively by Pearson correlation and linear regression. Most college students have the high level of metacognition and average self-efficacy. Pearson correlation coefficient result was 0.367. This result showed that metacognition level and self-efficacy has a weak relationship. Based on linear regression test, self-efficacy influenced by metacognition level up to 13.5%. The results of the study showed that positive and significant relationships exist between metacognition level and self-efficacy. Therefore, if the metacognition level is high, then self-efficacy will also be high (appropriate).

An Analysis on the Effect of Computer Self-Efficacy over Scientific Research Self-Efficacy and Information Literacy Self-Efficacy

ERIC Educational Resources Information Center

Tuncer, Murat

2013-01-01

Present research investigates reciprocal relations amidst computer self-efficacy, scientific research and information literacy self-efficacy. Research findings have demonstrated that according to standardized regression coefficients, computer self-efficacy has a positive effect on information literacy self-efficacy. Likewise it has been detected…

New approach for identifying the zero-order fringe in variable wavelength interferometry

NASA Astrophysics Data System (ADS)

Galas, Jacek; Litwin, Dariusz; Daszkiewicz, Marek

2016-12-01

The family of VAWI techniques (for transmitted and reflected light) is especially efficient for characterizing objects, when in the interference system the optical path difference exceeds a few wavelengths. The classical approach that consists in measuring the deflection of interference fringes fails because of strong edge effects. Broken continuity of interference fringes prevents from correct identification of the zero order fringe, which leads to significant errors. The family of these methods has been proposed originally by Professor Pluta in the 1980s but that time image processing facilities and computers were hardly available. Automated devices unfold a completely new approach to the classical measurement procedures. The Institute team has taken that new opportunity and transformed the technique into fully automated measurement devices offering commercial readiness of industry-grade quality. The method itself has been modified and new solutions and algorithms simultaneously have extended the field of application. This has concerned both construction aspects of the systems and software development in context of creating computerized instruments. The VAWI collection of instruments constitutes now the core of the Institute commercial offer. It is now practically applicable in industrial environment for measuring textile and optical fibers, strips of thin films, testing of wave plates and nonlinear affects in different materials. This paper describes new algorithms for identifying the zero order fringe, which increases the performance of the system as a whole and presents some examples of measurements of optical elements.

Efficacy Beliefs of Special Educators: The Relationships among Collective Efficacy, Teacher Self-Efficacy, and Job Satisfaction

ERIC Educational Resources Information Center

Viel-Ruma, Kim; Houchins, David; Jolivette, Kristine; Benson, Gwen

2010-01-01

In order to examine the relationship between reported levels of teacher self-efficacy, collective efficacy, and job satisfaction in special educators, teachers in one school district completed three surveys measuring these constructs. The results indicated that teacher self-efficacy had a direct effect on job satisfaction. It was further found…

Self-efficacy and self-esteem in third-year pharmacy students.

PubMed

Yorra, Mark L

2014-09-15

To identify the experiential and demographic factors affecting the self-efficacy and self-esteem of third-year pharmacy (P3) students. A 25-item survey that included the Rosenberg Self-Esteem Scale and the General Self-Efficacy Scale, as well as types and length of pharmacy practice experiences and demographic information was administered to doctor of pharmacy (PharmD) students from 5 schools of pharmacy in New England at the completion of their P3 year. The survey response rate was approximately 50% of the total target population (399/820). Students with a grade point average (GPA)≥3.0 demonstrated a higher significant effect from unpaid introductory pharmacy practice experiences (IPPEs) on their self-efficacy scores (p<0.05) compared to students with lower GPAs. Students who had completed more than the required amount of pharmacy experiences had higher levels of self-efficacy and self-esteem (p<0.05). Ethnicity also was related to students' levels of self-efficacy and self-esteem. Self-efficacy and self-esteem are two important factors in pharmacy practice. Colleges and schools of pharmacy should ensure that students complete enough practice experiences, beyond the minimum of 300 IPPE hours, as one way to improve their self-efficacy and self-esteem.

Self-Efficacy and Self-Esteem in Third-Year Pharmacy Students

PubMed Central

2014-01-01

Objective. To identify the experiential and demographic factors affecting the self-efficacy and self-esteem of third-year pharmacy (P3) students. Methods. A 25-item survey that included the Rosenberg Self-Esteem Scale and the General Self-Efficacy Scale, as well as types and length of pharmacy practice experiences and demographic information was administered to doctor of pharmacy (PharmD) students from 5 schools of pharmacy in New England at the completion of their P3 year. Results. The survey response rate was approximately 50% of the total target population (399/820). Students with a grade point average (GPA)≥3.0 demonstrated a higher significant effect from unpaid introductory pharmacy practice experiences (IPPEs) on their self-efficacy scores (p<0.05) compared to students with lower GPAs. Students who had completed more than the required amount of pharmacy experiences had higher levels of self-efficacy and self-esteem (p<0.05). Ethnicity also was related to students’ levels of self-efficacy and self-esteem. Conclusion. Self-efficacy and self-esteem are two important factors in pharmacy practice. Colleges and schools of pharmacy should ensure that students complete enough practice experiences, beyond the minimum of 300 IPPE hours, as one way to improve their self-efficacy and self-esteem. PMID:25258439

A model to increase rehabilitation adherence to home exercise programmes in patients with varying levels of self-efficacy.

PubMed

Picha, Kelsey J; Howell, Dana M

2018-03-01

Patient adherence to rehabilitation programmes is frequently low - particularly adherence to home exercise programmes. Home exercise programmes have been identified as complementary to clinic-based physical therapy in an orthopaedic setting. Barriers to patient adherence have previously been identified within the literature. Low self-efficacy is a barrier to adherence that clinicians have the ability to have an impact on and improve. The theory of self-efficacy is defined as a person's confidence in their ability to perform a task. This theory examines the ability of a person to change through exerting control over inner processes of goal setting, self-monitoring, feedback, problem solving and self-evaluation. If clinicians are able to identify patients with low self-efficacy prior to the prescription of a home exercise programme, adjustments to individualized care can be implemented. Individualized care based on improving self-efficacy for home exercise programmes may improve patient adherence to these programmes. The purpose of this article was to use the theory of self-efficacy to direct clinicians in providing individualized programmes to patients with varying levels of self-efficacy. Copyright © 2017 John Wiley & Sons, Ltd.

Testing phase-specific self-efficacy beliefs in the context of dietary behaviour change.

PubMed

Ochsner, Sibylle; Scholz, Urte; Hornung, Rainer

2013-03-01

Self-efficacy is an important predictor of health behaviour change. Within the health action process approach (HAPA; Schwarzer, 2008), motivational and volitional self-efficacy can be distinguished. Motivational self-efficacy is assumed to serve as predictor of intention formation whereas volitional self-efficacy should be relevant for behaviour change. This study examined these assumptions in a sample with overweight and obese individuals. Moreover, we tested whether behavioural intentions moderate the association between volitional self-efficacy and behaviour. Overall, 373 overweight and obese individuals completed a baseline and six months later a follow-up questionnaire on HAPA variables and dietary behaviour. A factor analysis confirmed the phase-specific separation of self-efficacy. Motivational self-efficacy emerged as predictor for behavioural intentions over and above other HAPA variables after six months, whereas volitional self-efficacy did not. Volitional self-efficacy interacted with intention in the prediction of behaviour, indicating that volitional self-efficacy is only beneficial for individuals with high levels of intentions. The results provide evidence for the phase-specific distinction of self-efficacy in the context of dietary change in an overweight or obese sample. Thus, differentiating between motivational and volitional self-efficacy beliefs should be considered when developing future interventions of dietary change. © 2012 The Authors. Applied Psychology: Health and Well-Being © 2012 The International Association of Applied Psychology.

Pre-Service Teachers' Mathematics Self-Efficacy and Mathematics Teaching Self-Efficacy

ERIC Educational Resources Information Center

Zuya, Habila Elisha; Kwalat, Simon Kevin; Attah, Bala Galle

2016-01-01

Pre-service mathematics teachers' mathematics self-efficacy and mathematics teaching self-efficacy were investigated in this study. The purpose was to determine the confidence levels of their self-efficacy in mathematics and mathematics teaching. Also, the study was aimed at finding whether their mathematics self-efficacy and teaching…

A Genetic Approach to Identifying Signal Transduction Mechanisms Initiated by Receptors for TGF-B-Related Factors.

DTIC Science & Technology

1998-10-01

resistant to TGF-ß-induced growth arrest suggest that both types of receptors are required for signaling (Boyd and Massague, 1989; Laiho et ah, 1990...II in TGF-ß- resistant cell mutants implicates both receptor types in signal transduction. J. Biol. Chem. 265, 18518-18524. Lechleider, R. J., de...I-1 « -J AD GRANT NUMBER DAMD17-94-J-4339 TITLE: A Genetic Approach to Identifying Signal Transduction Mechanisms Initiated by Receptors

Computational Approaches to Identify Promoters and cis-Regulatory Elements in Plant Genomes1

PubMed Central

Rombauts, Stephane; Florquin, Kobe; Lescot, Magali; Marchal, Kathleen; Rouzé, Pierre; Van de Peer, Yves

2003-01-01

The identification of promoters and their regulatory elements is one of the major challenges in bioinformatics and integrates comparative, structural, and functional genomics. Many different approaches have been developed to detect conserved motifs in a set of genes that are either coregulated or orthologous. However, although recent approaches seem promising, in general, unambiguous identification of regulatory elements is not straightforward. The delineation of promoters is even harder, due to its complex nature, and in silico promoter prediction is still in its infancy. Here, we review the different approaches that have been developed for identifying promoters and their regulatory elements. We discuss the detection of cis-acting regulatory elements using word-counting or probabilistic methods (so-called “search by signal” methods) and the delineation of promoters by considering both sequence content and structural features (“search by content” methods). As an example of search by content, we explored in greater detail the association of promoters with CpG islands. However, due to differences in sequence content, the parameters used to detect CpG islands in humans and other vertebrates cannot be used for plants. Therefore, a preliminary attempt was made to define parameters that could possibly define CpG and CpNpG islands in Arabidopsis, by exploring the compositional landscape around the transcriptional start site. To this end, a data set of more than 5,000 gene sequences was built, including the promoter region, the 5′-untranslated region, and the first introns and coding exons. Preliminary analysis shows that promoter location based on the detection of potential CpG/CpNpG islands in the Arabidopsis genome is not straightforward. Nevertheless, because the landscape of CpG/CpNpG islands differs considerably between promoters and introns on the one side and exons (whether coding or not) on the other, more sophisticated approaches can probably be

The HepTestContest: a global innovation contest to identify approaches to hepatitis B and C testing.

PubMed

Tucker, Joseph D; Meyers, Kathrine; Best, John; Kaplan, Karyn; Pendse, Razia; Fenton, Kevin A; Andrieux-Meyer, Isabelle; Figueroa, Carmen; Goicochea, Pedro; Gore, Charles; Ishizaki, Azumi; Khwairakpam, Giten; Miller, Veronica; Mozalevskis, Antons; Ninburg, Michael; Ocama, Ponsiano; Peeling, Rosanna; Walsh, Nick; Colombo, Massimo G; Easterbrook, Philippa

2017-11-01

Innovation contests are a novel approach to elicit good ideas and innovative practices in various areas of public health. There remains limited published literature on approaches to deliver hepatitis testing. The purpose of this innovation contest was to identify examples of different hepatitis B and C approaches to support countries in their scale-up of hepatitis testing and to supplement development of formal recommendations on service delivery in the 2017 World Health Organization hepatitis B and C testing guidelines. This contest involved four steps: 1) establishment of a multisectoral steering committee to coordinate a call for contest entries; 2) dissemination of the call for entries through diverse media (Facebook, Twitter, YouTube, email listservs, academic journals); 3) independent ranking of submissions by a panel of judges according to pre-specified criteria (clarity of testing model, innovation, effectiveness, next steps) using a 1-10 scale; 4) recognition of highly ranked entries through presentation at international conferences, commendation certificate, and inclusion as a case study in the WHO 2017 testing guidelines. The innovation contest received 64 entries from 27 countries and took a total of 4 months to complete. Sixteen entries were directly included in the WHO testing guidelines. The entries covered testing in different populations, including primary care patients (n = 5), people who inject drugs (PWID) (n = 4), pregnant women (n = 4), general populations (n = 4), high-risk groups (n = 3), relatives of people living with hepatitis B and C (n = 2), migrants (n = 2), incarcerated individuals (n = 2), workers (n = 2), and emergency department patients (n = 2). A variety of different testing delivery approaches were employed, including integrated HIV-hepatitis testing (n = 12); integrated testing with harm reduction and addiction services (n = 9); use of electronic medical records to support targeted testing (n = 8

Kinome rewiring reveals AURKA is a molecular barrier to the efficacy of PI3K/mTOR-pathway inhibitors in breast cancer | Office of Cancer Genomics

Cancer.gov

Dysregulation of the PI3K-AKT-mTOR signaling network is a prominent feature of breast cancers. However, clinical responses to drugs targeting this pathway have been modest. We hypothesized that dynamic changes in signaling, including adaptation and feedback, limit drug efficacy. Using a quantitative chemoproteomics approach we mapped dynamic changes in the kinome in response to various agents and identified signaling changes that correlate with drug sensitivity.

Sources of Self-efficacy in a Science Methods Course for Primary Teacher Education Students

NASA Astrophysics Data System (ADS)

Palmer, D. H.

2006-12-01

Self-efficacy has been shown to be an issue of concern for primary teacher education students - many of them have low self-efficacy and this can negatively affect their future teaching of science. Previous research has identified four factors that may contribute towards self-efficacy: enactive mastery experiences, vicarious experiences, verbal persuasion and physiological/affective states. It could also be argued that there are additional sources of self-efficacy that apply to primary teacher education students, namely cognitive content mastery, cognitive pedagogical mastery and simulated modelling. The main purpose of the present paper was to investigate the relative importance of the various sources of self-efficacy in a primary science methods course. Data on changes in self-efficacy and sources of self-efficacy were collected throughout the course using formal and informal surveys. It was found that the main source of self-efficacy was cognitive pedagogical mastery.

Identifying approaches for assessing methodological and reporting quality of systematic reviews: a descriptive study.

PubMed

Pussegoda, Kusala; Turner, Lucy; Garritty, Chantelle; Mayhew, Alain; Skidmore, Becky; Stevens, Adrienne; Boutron, Isabelle; Sarkis-Onofre, Rafael; Bjerre, Lise M; Hróbjartsson, Asbjørn; Altman, Douglas G; Moher, David

2017-06-19

The methodological quality and completeness of reporting of the systematic reviews (SRs) is fundamental to optimal implementation of evidence-based health care and the reduction of research waste. Methods exist to appraise SRs yet little is known about how they are used in SRs or where there are potential gaps in research best-practice guidance materials. The aims of this study are to identify reports assessing the methodological quality (MQ) and/or reporting quality (RQ) of a cohort of SRs and to assess their number, general characteristics, and approaches to 'quality' assessment over time. The Cochrane Library, MEDLINE®, and EMBASE® were searched from January 1990 to October 16, 2014, for reports assessing MQ and/or RQ of SRs. Title, abstract, and full-text screening of all reports were conducted independently by two reviewers. Reports assessing the MQ and/or RQ of a cohort of ten or more SRs of interventions were included. All results are reported as frequencies and percentages of reports. Of 20,765 unique records retrieved, 1189 of them were reviewed for full-text review, of which 76 reports were included. Eight previously published approaches to assessing MQ or reporting guidelines used as proxy to assess RQ were used in 80% (61/76) of identified reports. These included two reporting guidelines (PRISMA and QUOROM) and five quality assessment tools (AMSTAR, R-AMSTAR, OQAQ, Mulrow, Sacks) and GRADE criteria. The remaining 24% (18/76) of reports developed their own criteria. PRISMA, OQAQ, and AMSTAR were the most commonly used published tools to assess MQ or RQ. In conjunction with other approaches, published tools were used in 29% (22/76) of reports, with 36% (8/22) assessing adherence to both PRISMA and AMSTAR criteria and 26% (6/22) using QUOROM and OQAQ. The methods used to assess quality of SRs are diverse, and none has become universally accepted. The most commonly used quality assessment tools are AMSTAR, OQAQ, and PRISMA. As new tools and guidelines are

The Confounded Self-Efficacy Construct: Review, Conceptual Analysis, and Recommendations for Future Research

PubMed Central

Williams, David; Rhodes, Ryan E.

2014-01-01

Self-efficacy is central to health behaviour theories due to its robust predictive capabilities. In this paper we present and review evidence for a self-efficacy-as-motivation argument in which standard self-efficacy questionnaires—i.e., ratings of whether participants “can do” the target behaviour—reflect motivation rather than perceived capability. The potential implication is that associations between self-efficacy ratings (particularly those that employ a “can do” operationalization) and health-related behaviours simply indicate that people are likely to do what they are motivated to do. There is some empirical evidence for the self-efficacy-as-motivation argument, with three studies demonstrating causal effects of outcome expectancy on subsequent self-efficacy ratings. Three additional studies show that—consistent with the self-efficacy-as-motivation argument—controlling for motivation by adding the phrase “if you wanted to” to the end of self-efficacy items decreases associations between self-efficacy ratings and motivation. Likewise, a qualitative study using a thought-listing procedure demonstrates that self-efficacy ratings have motivational antecedents. The available evidence suggests that the self-efficacy-as-motivation argument is viable, although more research is needed. Meanwhile, we recommend that researchers look beyond self-efficacy to identify the many and diverse sources of motivation for health-related behaviours. PMID:25117692

Asthma management self-efficacy in parents of primary school-age children.

PubMed

Brown, Nicola; Gallagher, Robyn; Fowler, Cathrine; Wales, Sandra

2014-06-01

The aim of this study was to investigate asthma management self-efficacy in parents of primary school-age children with asthma and to explore possible associations between parent asthma management self-efficacy, parent and child characteristics, asthma task difficulty and asthma management responsibility. A cross-sectional descriptive survey of 113 parents was conducted to assess the level of parent asthma management self-efficacy, asthma task difficulty and confidence, asthma responsibility and socio-demographic characteristics. The findings indicate that parents had higher self-efficacy for attack prevention than attack management. Parents had higher self-efficacy for asthma management tasks that are simple, skills based and performed frequently such as medication administration and less confidence and greater difficulty with tasks associated with judgement and decision-making. Multivariate linear regression analysis identified English language, child asthma responsibility and parent education as predictors of higher asthma management self-efficacy, while an older child was associated with lower parent asthma management self-efficacy. The implications of these results for planning and targeting health education and self-management interventions for parents and children are discussed. © The Author(s) 2013.

Relationship of amotivation to neurocognition, self-efficacy and functioning in first-episode psychosis: a structural equation modeling approach.

PubMed

Chang, W C; Kwong, V W Y; Hui, C L M; Chan, S K W; Lee, E H M; Chen, E Y H

2017-03-01

Better understanding of the complex interplay among key determinants of functional outcome is crucial to promoting recovery in psychotic disorders. However, this is understudied in the early course of illness. We aimed to examine the relationships among negative symptoms, neurocognition, general self-efficacy and global functioning in first-episode psychosis (FEP) patients using structural equation modeling (SEM). Three hundred and twenty-one Chinese patients aged 26-55 years presenting with FEP to an early intervention program in Hong Kong were recruited. Assessments encompassing symptom profiles, functioning, perceived general self-efficacy and a battery of neurocognitive tests were conducted. Negative symptom measurement was subdivided into amotivation and diminished expression (DE) domain scores based on the ratings in the Scale for the Assessment of Negative Symptoms. An initial SEM model showed no significant association between functioning and DE which was removed from further analysis. A final trimmed model yielded very good model fit (χ2 = 15.48, p = 0.63; comparative fit index = 1.00; root mean square error of approximation <0.001) and demonstrated that amotivation, neurocognition and general self-efficacy had a direct effect on global functioning. Amotivation was also found to mediate a significant indirect effect of neurocognition and general self-efficacy on functioning. Neurocognition was not significantly related to general self-efficacy. Our results indicate a critical intermediary role of amotivation in linking neurocognitive impairment to functioning in FEP. General self-efficacy may represent a promising treatment target for improvement of motivational deficits and functional outcome in the early illness stage.