Electrometer Amplifier With Overload Protection
NASA Technical Reports Server (NTRS)
Woeller, F. H.; Alexander, R.
1986-01-01
Circuit features low noise, input offset, and high linearity. Input preamplifier includes input-overload protection and nulling circuit to subtract dc offset from output. Prototype dc amplifier designed for use with ion detector has features desirable in general laboratory and field instrumentation.
Method and Apparatus for Creating a Topography at a Surface
Adams, David P.; Sinclair, Michael B.; Mayer, Thomas M.; Vasile, Michael J.; Sweatt, William C.
2008-11-11
Methods and apparatus whereby an optical interferometer is utilized to monitor and provide feedback control to an integrated energetic particle column, to create desired topographies, including the depth, shape and/or roughness of features, at a surface of a specimen. Energetic particle columns can direct energetic species including, ions, photons and/or neutral particles to a surface to create features having in-plane dimensions on the order of 1 micron, and a height or depth on the order of 1 nanometer. Energetic processes can include subtractive processes such as sputtering, ablation, focused ion beam milling and, additive processes, such as energetic beam induced chemical vapor deposition. The integration of interferometric methods with processing by energetic species offers the ability to create desired topographies at surfaces, including planar and curved shapes.
A modeling framework for life history-based conservation planning
Eileen S. Burns; Sandor F. Toth; Robert G. Haight
2013-01-01
Reserve site selection models can be enhanced by including habitat conditions that populations need for food, shelter, and reproduction. We present a new population protection function that determines whether minimum areas of land with desired habitat features are present within the desired spatial conditions in the protected sites. Embedding the protection function as...
Using Probiotics and Prebiotics to Manage the Gastrointestinal Tract Ecosystem
NASA Astrophysics Data System (ADS)
Buddington, Randal
Natural and man-made ecosystems are routinely managed to increase productivity and provide desired characteristics. The management approaches most commonly used include the addition of desired organisms, provision of fertilizers or feeds to encourage desired species, alteration of the physical or chemical features of the environment, and the selective removal of undesirable species. The selection of specific management strategies and their success are dependent on a thorough understanding of existing ecosystem characteristics and the short and long-term responses to the management strategy.
ERIC Educational Resources Information Center
Wu, Pai-Hsing; Wu, Hsin-Kai; Kuo, Che-Yu; Hsu, Ying-Shao
2015-01-01
Computer-based learning tools include design features to enhance learning but learners may not always perceive the existence of these features and use them in desirable ways. There might be a gap between what the tool features are designed to offer (intended affordance) and what they are actually used (actual affordance). This study thus aims at…
Dawson, Samantha J; Chivers, Meredith L
2014-04-01
Incentive motivation theory proposes that sexual desire emerges from sexual arousal, and is triggered by sexually competent stimuli. Research demonstrates gender and sexual orientation differences in the features that contribute to the competency of sexual stimuli. Men's and gynephilic women's genital arousal tends to be gender-specific with preferred gender eliciting significantly greater genital arousal than nonpreferred gender. In contrast, stimuli depicting preferred and nonpreferred gender elicit similar degrees of genital arousal among androphilic women, termed a gender-nonspecific pattern. Given these differences in the features that elicit a sexual response, and that sexual desire is proposed to emerge from sexual arousal, the question remains as to whether sexual desire would emerge only through exposure to preferred stimuli or whether patterns of responsive desire would parallel those observed for genital arousal. The study aims to examine patterns of dyadic and solitary sexual desire in response to stimuli differing in incentive value. Thirty androphilic women, 21 gynephilic women, 21 gynephilic men, and 16 androphilic men participated in a sexual psychophysiological session. Participants viewed sexual stimuli that varied the gender of the actors and the intensity of sexual activities depicted. Participants reported their degree of desire for sex with a partner (dyadic desire) and desire to masturbate (solitary desire), before and after each film. Men and gynephilic women exhibited gender-specific patterns of sexual desire. Androphilic women's dyadic desire showed significantly less differentiation between genders, and their solitary desire did not differentiate at all. No gender difference was observed for either type of desire. All groups reported greater desire as stimulus intensity increased. Gender-nonspecific sexual response is not limited to the sexual arousal patterns of androphilic women, but extends to include responsive sexual desire. Men and gynephilic women, however, show gender-specific responsive sexual desire that parallels their sexual arousal patterns. © 2014 International Society for Sexual Medicine.
Deep Correlated Holistic Metric Learning for Sketch-Based 3D Shape Retrieval.
Dai, Guoxian; Xie, Jin; Fang, Yi
2018-07-01
How to effectively retrieve desired 3D models with simple queries is a long-standing problem in computer vision community. The model-based approach is quite straightforward but nontrivial, since people could not always have the desired 3D query model available by side. Recently, large amounts of wide-screen electronic devices are prevail in our daily lives, which makes the sketch-based 3D shape retrieval a promising candidate due to its simpleness and efficiency. The main challenge of sketch-based approach is the huge modality gap between sketch and 3D shape. In this paper, we proposed a novel deep correlated holistic metric learning (DCHML) method to mitigate the discrepancy between sketch and 3D shape domains. The proposed DCHML trains two distinct deep neural networks (one for each domain) jointly, which learns two deep nonlinear transformations to map features from both domains into a new feature space. The proposed loss, including discriminative loss and correlation loss, aims to increase the discrimination of features within each domain as well as the correlation between different domains. In the new feature space, the discriminative loss minimizes the intra-class distance of the deep transformed features and maximizes the inter-class distance of the deep transformed features to a large margin within each domain, while the correlation loss focused on mitigating the distribution discrepancy across different domains. Different from existing deep metric learning methods only with loss at the output layer, our proposed DCHML is trained with loss at both hidden layer and output layer to further improve the performance by encouraging features in the hidden layer also with desired properties. Our proposed method is evaluated on three benchmarks, including 3D Shape Retrieval Contest 2013, 2014, and 2016 benchmarks, and the experimental results demonstrate the superiority of our proposed method over the state-of-the-art methods.
Nanostructure templating using low temperature atomic layer deposition
Grubbs, Robert K [Albuquerque, NM; Bogart, Gregory R [Corrales, NM; Rogers, John A [Champaign, IL
2011-12-20
Methods are described for making nanostructures that are mechanically, chemically and thermally stable at desired elevated temperatures, from nanostructure templates having a stability temperature that is less than the desired elevated temperature. The methods comprise depositing by atomic layer deposition (ALD) structural layers that are stable at the desired elevated temperatures, onto a template employing a graded temperature deposition scheme. At least one structural layer is deposited at an initial temperature that is less than or equal to the stability temperature of the template, and subsequent depositions made at incrementally increased deposition temperatures until the desired elevated temperature stability is achieved. Nanostructure templates include three dimensional (3D) polymeric templates having features on the order of 100 nm fabricated by proximity field nanopatterning (PnP) methods.
The Perfect Marriage: Integrated Word Processing and Data Base Management Programs.
ERIC Educational Resources Information Center
Pogrow, Stanley
1983-01-01
Discussion of database integration and how it operates includes recommendations on compatible brand name word processing and database management programs, and a checklist for evaluating essential and desirable features of the available programs. (MBR)
Multiple Paths to Mathematics Practice in Al-Kashi's "Key to Arithmetic"
ERIC Educational Resources Information Center
Taani, Osama
2014-01-01
In this paper, I discuss one of the most distinguishing features of Jamshid al-Kashi's pedagogy from his "Key to Arithmetic", a well-known Arabic mathematics textbook from the fifteenth century. This feature is the multiple paths that he includes to find a desired result. In the first section light is shed on al-Kashi's life…
DiDonato, Kristen L; Liu, Yifei; Lindsey, Cameron C; Hartwig, David Matthew; Stoner, Steven C
2015-10-01
To determine patient perceptions of using a demonstration application (app) of mobile technology to improve medication adherence and to identify desired features to assist in the management of medications. A qualitative study using key informant interviews was conducted in a community pharmacy chain for patients aged 50 and older, on statin therapy and owning a smart device. Three main themes emerged from 24 interviews at four pharmacy locations, which included benefits, barriers and desired features of the app. Benefits such as accessibility, privacy, pros of appearance and beneficiaries were more likely to lead to usage of the app. Barriers that might prevent usage of the app were related to concerns of appearance, the burden it might cause for others, cost, privacy, motivation and reliability. Specific features patients desired were categorized under appearance, customization, communication, functionality, input and the app platform. Patients provided opinions about using a mobile app to improve medication adherence and assist with managing medications. Patients envisioned the app within their lifestyle and expressed important considerations, identifying benefits to using this technology and voicing relevant concerns. App developers can use patient perceptions to guide development of a mobile app addressing patient medication-related needs. © 2015 Royal Pharmaceutical Society.
Flexible Interior-Impression-Molding Tray
NASA Technical Reports Server (NTRS)
Anders, Jeffrey E.
1991-01-01
Device used inside combustion chamber of complicated shape for nondestructive evaluation of qualities of welds, including such features as offset, warping, misalignment of parts, and dropthrough. Includes flexible polypropylene tray trimmed to fit desired interior surface contour. Two neodymium boron magnets and inflatable bladder attached to tray. Tray and putty inserted in cavity to make mold of interior surface.
Combining DRGs and per diem payments in the private sector: the Equitable Payment Model.
Hanning, Brian W T
2005-02-01
The many types of payment models used in the Australian private sector are reviewed. Their features are compared and contrasted to those desirable in an optimal private sector payment model. The EPM(TM) (Equitable Payment Model) is discussed and its consistency with the desirable features of an optimal private sector payment model outlined. These include being based on a robust classification system, nationally benchmarked length of stay (LOS) results, nationally benchmarked relative cost and encouraging continual improvement in efficiency to the benefit of both health funds and private hospitals. The advantages in the context of the private sector of EPM(TM) being a per diem model, albeit very different to current per diem models, are discussed. The advantages of EPM(TM) for hospitals and health funds are outlined.
Monte Carlo capabilities of the SCALE code system
Rearden, Bradley T.; Petrie, Jr., Lester M.; Peplow, Douglas E.; ...
2014-09-12
SCALE is a broadly used suite of tools for nuclear systems modeling and simulation that provides comprehensive, verified and validated, user-friendly capabilities for criticality safety, reactor physics, radiation shielding, and sensitivity and uncertainty analysis. For more than 30 years, regulators, licensees, and research institutions around the world have used SCALE for nuclear safety analysis and design. SCALE provides a “plug-and-play” framework that includes three deterministic and three Monte Carlo radiation transport solvers that can be selected based on the desired solution, including hybrid deterministic/Monte Carlo simulations. SCALE includes the latest nuclear data libraries for continuous-energy and multigroup radiation transport asmore » well as activation, depletion, and decay calculations. SCALE’s graphical user interfaces assist with accurate system modeling, visualization, and convenient access to desired results. SCALE 6.2 will provide several new capabilities and significant improvements in many existing features, especially with expanded continuous-energy Monte Carlo capabilities for criticality safety, shielding, depletion, and sensitivity and uncertainty analysis. Finally, an overview of the Monte Carlo capabilities of SCALE is provided here, with emphasis on new features for SCALE 6.2.« less
A Self-Paced Physical Geology Laboratory.
ERIC Educational Resources Information Center
Watson, Donald W.
1983-01-01
Describes a self-paced geology course utilizing a diversity of instructional techniques, including maps, models, samples, audio-visual materials, and a locally developed laboratory manual. Mechanical features are laboratory exercises, followed by unit quizzes; quizzes are repeated until the desired level of competence is attained. (Author/JN)
Method and apparatus for detecting a desired behavior in digital image data
Kegelmeyer, Jr., W. Philip
1997-01-01
A method for detecting stellate lesions in digitized mammographic image data includes the steps of prestoring a plurality of reference images, calculating a plurality of features for each of the pixels of the reference images, and creating a binary decision tree from features of randomly sampled pixels from each of the reference images. Once the binary decision tree has been created, a plurality of features, preferably including an ALOE feature (analysis of local oriented edges), are calculated for each of the pixels of the digitized mammographic data. Each of these plurality of features of each pixel are input into the binary decision tree and a probability is determined, for each of the pixels, corresponding to the likelihood of the presence of a stellate lesion, to create a probability image. Finally, the probability image is spatially filtered to enforce local consensus among neighboring pixels and the spatially filtered image is output.
Method and apparatus for detecting a desired behavior in digital image data
Kegelmeyer, Jr., W. Philip
1997-01-01
A method for detecting stellate lesions in digitized mammographic image data includes the steps of prestoring a plurality of reference images, calculating a plurality of features for each of the pixels of the reference images, and creating a binary decision tree from features of randomly sampled pixels from each of the reference images. Once the binary decision tree has been created, a plurality of features, preferably including an ALOE feature (analysis of local oriented edges), are calculated for each of the pixels of the digitized mammographic data. Each of these plurality of features of each pixel are input into the binary decision tree and a probability is determined, for each of the pixels, corresponding to the likelihood of the presence of a stellate lesion, to create a probability image. Finally, the probability image is spacially filtered to enforce local consensus among neighboring pixels and the spacially filtered image is output.
7 CFR 1755.910 - RUS specification for outside plant housings and serving area interface systems.
Code of Federal Regulations, 2012 CFR
2012-01-01
... requirements are interrelated to several tests designed to determine the performance aspects of terminals and... environments. Included are the mechanical, electrical, and environmental requirements, desired design features, and test methods for evaluation of the product. (2) The housing and terminal requirements reflect the...
7 CFR 1755.910 - RUS specification for outside plant housings and serving area interface systems.
Code of Federal Regulations, 2013 CFR
2013-01-01
... requirements are interrelated to several tests designed to determine the performance aspects of terminals and... environments. Included are the mechanical, electrical, and environmental requirements, desired design features, and test methods for evaluation of the product. (2) The housing and terminal requirements reflect the...
7 CFR 1755.910 - RUS specification for outside plant housings and serving area interface systems.
Code of Federal Regulations, 2014 CFR
2014-01-01
... requirements are interrelated to several tests designed to determine the performance aspects of terminals and... environments. Included are the mechanical, electrical, and environmental requirements, desired design features, and test methods for evaluation of the product. (2) The housing and terminal requirements reflect the...
7 CFR 1755.910 - RUS specification for outside plant housings and serving area interface systems.
Code of Federal Regulations, 2011 CFR
2011-01-01
... requirements are interrelated to several tests designed to determine the performance aspects of terminals and... environments. Included are the mechanical, electrical, and environmental requirements, desired design features, and test methods for evaluation of the product. (2) The housing and terminal requirements reflect the...
Desktop Publishing: A Brave New World and Publishing from the Desktop.
ERIC Educational Resources Information Center
Lormand, Robert; Rowe, Jane J.
1988-01-01
The first of two articles presents basic selection criteria for desktop publishing software packages, including discussion of expectations, required equipment, training costs, publication size, desired software features, additional equipment needed, and quality control. The second provides a brief description of desktop publishing using the Apple…
Social desirability response tendencies in psychiatric inpatient children.
Mabe, P A; Treiber, F A
1989-03-01
This study examined the substantive features of children's social desirability (SD) tendencies that could influence the nature and severity of psychopathology. Examinations of substantive features of SD responding in an inpatient child psychiatry unit (N = 76) suggested that higher scores on the Children's Social Desirability questionnaire were associated strongly with (1) lower mental age; (2) higher scores on self-reported social competence; (3) lower scores on self-reported anger; and (4) lower scores on parent-reported externalization behavioral disturbance. Results were interpreted as suggesting that SD responding for child inpatients may reflect a mixed picture of negative features of cognitive and social immaturity that could affect adversely their ability to judge their own and others' social behavior and of positive features of less external behavioral disturbance and more prosocial attitudes and behaviors.
Qualitative Maintenance Experience Handbook
1975-10-20
differences in type and location of actuators results. DESIRABLE FEATURES: 1. The simpler assist methods are easier to get to usually and are smaller...the wheels differ somewhat in method of removal, there exists no particular features that would qualify as 4 "undesirable." 3. The AV-8 requires special... different airplanes, this survey identifies desirable and unde- sirable features evident in the various installations of the same compo- nent. In essence
Desired attributes of evidence assessments for evidence-based practices.
Leff, H Stephen; Conley, Jeremy A
2006-11-01
In this paper we describe three approaches to assessing evidence for stakeholders interested in evidence-based practices: narrative reviews, systematic reviews (including meta-analyses), and registries. We then compare the approaches in terms of the degree to which they posses desired attributes of evidence assessments. Our review suggests that hybrid approaches that combined the best features of all three should be pursued to further the use of evidence-based practices, and that such hybrids are possible given the capacity of the World Wide Web. We conclude by stressing the need for empirical research on evidence assessments.
NASA Technical Reports Server (NTRS)
Bradley, D. B.; Cain, J. B., III; Williard, M. W.
1978-01-01
The task was to evaluate the ability of a set of timing/synchronization subsystem features to provide a set of desirable characteristics for the evolving Defense Communications System digital communications network. The set of features related to the approaches by which timing/synchronization information could be disseminated throughout the network and the manner in which this information could be utilized to provide a synchronized network. These features, which could be utilized in a large number of different combinations, included mutual control, directed control, double ended reference links, independence of clock error measurement and correction, phase reference combining, and self organizing.
Hybrid Vehicle Technologies and their potential for reducing oil use
NASA Astrophysics Data System (ADS)
German, John
2006-04-01
Vehicles with hybrid gasoline-electric powertrains are starting to gain market share. Current hybrid vehicles add an electric motor, battery pack, and power electronics to the conventional powertrain. A variety of engine/motor configurations are possible, each with advantages and disadvantages. In general, efficiency is improved due to engine shut-off at idle, capture of energy during deceleration that is normally lost as heat in the brakes, downsizing of the conventional engine, and, in some cases, propulsion on the electric motor alone. Ongoing increases in hybrid market share are dependent on cost reduction, especially the battery pack, efficiency synergies with other vehicle technologies, use of the high electric power to provide features desired by customers, and future fuel price and availability. Potential barriers include historically low fuel prices, high discounting of the fuel savings by new vehicle purchasers, competing technologies, and tradeoffs with other factors desired by customers, such as performance, utility, safety, and luxury features.
Santo, Karla; Richtering, Sarah S; Chalmers, John; Thiagalingam, Aravinda; Chow, Clara K; Redfern, Julie
2016-12-02
There are a growing number of mobile phone apps available to support people in taking their medications and to improve medication adherence. However, little is known about how these apps differ in terms of features, quality, and effectiveness. We aimed to systematically review the medication reminder apps available in the Australian iTunes store and Google Play to assess their features and their quality in order to identify high-quality apps. This review was conducted in a similar manner to a systematic review by using a stepwise approach that included (1) a search strategy; (2) eligibility assessment; (3) app selection process through an initial screening of all retrieved apps and full app review of the included apps; (4) data extraction using a predefined set of features considered important or desirable in medication reminder apps; (5) analysis by classifying the apps as basic and advanced medication reminder apps and scoring and ranking them; and (6) a quality assessment by using the Mobile App Rating Scale (MARS), a reliable tool to assess mobile health apps. We identified 272 medication reminder apps, of which 152 were found only in Google Play, 87 only in iTunes, and 33 in both app stores. Apps found in Google Play had more customer reviews, higher star ratings, and lower cost compared with apps in iTunes. Only 109 apps were available for free and 124 were recently updated in 2015 or 2016. Overall, the median number of features per app was 3.0 (interquartile range 4.0) and only 18 apps had ≥9 of the 17 desirable features. The most common features were flexible scheduling that was present in 56.3% (153/272) of the included apps, medication tracking history in 54.8% (149/272), snooze option in 34.9% (95/272), and visual aids in 32.4% (88/272). We classified 54.8% (149/272) of the included apps as advanced medication reminder apps and 45.2% (123/272) as basic medication reminder apps. The advanced apps had a higher number of features per app compared with the basic apps. Using the MARS instrument, we were able to identify high-quality apps that were rated as being very interesting and entertaining, highly interactive and customizable, intuitive, and easy to use and to navigate as well as having a high level of visual appeal and good-quality information. Many medication reminder apps are available in the app stores; however, the majority of them did not have many of the desirable features and were, therefore, considered low quality. Through a systematic stepwise process, we were able to identify high-quality apps to be tested in a future study that will provide evidence on the use of medication reminder apps to improve medication adherence. ©Karla Santo, Sarah S Richtering, John Chalmers, Aravinda Thiagalingam, Clara K Chow, Julie Redfern. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 02.12.2016.
Richtering, Sarah S; Chalmers, John; Thiagalingam, Aravinda; Chow, Clara K; Redfern, Julie
2016-01-01
Background There are a growing number of mobile phone apps available to support people in taking their medications and to improve medication adherence. However, little is known about how these apps differ in terms of features, quality, and effectiveness. Objective We aimed to systematically review the medication reminder apps available in the Australian iTunes store and Google Play to assess their features and their quality in order to identify high-quality apps. Methods This review was conducted in a similar manner to a systematic review by using a stepwise approach that included (1) a search strategy; (2) eligibility assessment; (3) app selection process through an initial screening of all retrieved apps and full app review of the included apps; (4) data extraction using a predefined set of features considered important or desirable in medication reminder apps; (5) analysis by classifying the apps as basic and advanced medication reminder apps and scoring and ranking them; and (6) a quality assessment by using the Mobile App Rating Scale (MARS), a reliable tool to assess mobile health apps. Results We identified 272 medication reminder apps, of which 152 were found only in Google Play, 87 only in iTunes, and 33 in both app stores. Apps found in Google Play had more customer reviews, higher star ratings, and lower cost compared with apps in iTunes. Only 109 apps were available for free and 124 were recently updated in 2015 or 2016. Overall, the median number of features per app was 3.0 (interquartile range 4.0) and only 18 apps had ≥9 of the 17 desirable features. The most common features were flexible scheduling that was present in 56.3% (153/272) of the included apps, medication tracking history in 54.8% (149/272), snooze option in 34.9% (95/272), and visual aids in 32.4% (88/272). We classified 54.8% (149/272) of the included apps as advanced medication reminder apps and 45.2% (123/272) as basic medication reminder apps. The advanced apps had a higher number of features per app compared with the basic apps. Using the MARS instrument, we were able to identify high-quality apps that were rated as being very interesting and entertaining, highly interactive and customizable, intuitive, and easy to use and to navigate as well as having a high level of visual appeal and good-quality information. Conclusions Many medication reminder apps are available in the app stores; however, the majority of them did not have many of the desirable features and were, therefore, considered low quality. Through a systematic stepwise process, we were able to identify high-quality apps to be tested in a future study that will provide evidence on the use of medication reminder apps to improve medication adherence. PMID:27913373
Measuring Constructs in Family Science: How Can Item Response Theory Improve Precision and Validity?
ERIC Educational Resources Information Center
Gordon, Rachel A.
2015-01-01
This article provides family scientists with an understanding of contemporary measurement perspectives and the ways in which item response theory (IRT) can be used to develop measures with desired evidence of precision and validity for research uses. The article offers a nontechnical introduction to some key features of IRT, including its…
Gender in Adolescent Autonomy: Distinction between Boys and Girls Accelerates at 16 Years of Age
ERIC Educational Resources Information Center
Fleming, Manuela
2005-01-01
Introduction: Autonomy is a major developmental feature of adolescents. Its success mediates transition into adulthood. It involves a number of psychological parameters, including desire, conflict with parents and actual achievement. Method: How male and female adolescents view autonomy was investigated in a large sample of 12-17 year-old…
ERIC Educational Resources Information Center
Cryan, Mark; Martinek, Thomas
2017-01-01
The Soccer Coaching Club program used the Teaching Personal and Social Responsibility (TPSR) model in an after-school soccer program for sixth grade boys between 11 and 12 years old in a local middle school. Soccer, as the featured physical activity, provided the "hook" for regular attendance. Desired outcomes included improved…
ERIC Educational Resources Information Center
Lagattuta, Kristin Hansen; Nucci, Larry; Bosacki, Sandra Leanne
2010-01-01
Four-, 5-, and 7-year-olds (N = 60) listened to vignettes featuring characters that wanted to do actions that conflicted with parental rules. Desires included behaviors associated with the personal domain: friend, activity, and clothing choice. Scenarios involving moral rules served as a comparison. Children predicted and explained characters'…
NASA Technical Reports Server (NTRS)
Doggett, William R.; Dorsey, John T.; Collins, Timothy J.; King, Bruce D.; Mikulas, Martin M., Jr.
2008-01-01
Devices for lifting and transporting payloads and material are critical for efficient Earth-based construction operations. Devices with similar functionality will be needed to support lunar-outpost construction, servicing, inspection, regolith excavation, grading and payload placement. Past studies have proposed that only a few carefully selected devices are required for a lunar outpost. One particular set of operations involves lifting and manipulating payloads in the 100 kg to 3,000 kg range, which are too large or massive to be handled by unassisted astronauts. This paper will review historical devices used for payload handling in space and on earth to derive a set of desirable features for a device that can be used on planetary surfaces. Next, an innovative concept for a lifting device is introduced, which includes many of the desirable features. The versatility of the device is discussed, including its application to lander unloading, servicing, inspection, regolith excavation and site preparation. Approximate rules, which can be used to size the device for specific payload mass and reach requirements, are provided. Finally, details of a test-bed implementation of the innovative concept, which will be used to validate the structural design and develop operational procedures, is provided.
Kawamoto, Kensaku; Lobach, David F
2003-01-01
Computerized physician order entry (CPOE) systems represent an important tool for providing clinical decision support. In undertaking this systematic review, our objective was to identify the features of CPOE-based clinical decision support systems (CDSSs) most effective at modifying clinician behavior. For this review, two independent reviewers systematically identified randomized controlled trials that evaluated the effectiveness of CPOE-based CDSSs in changing clinician behavior. Furthermore, each included study was assessed for the presence of 14 CDSS features. We screened 10,023 citations and included 11 studies. Of the 10 studies comparing a CPOE-based CDSS intervention against a non-CDSS control group, 7 reported a significant desired change in professional practice. Moreover, meta-regression analysis revealed that automatic provision of the decision support was strongly associated with improved professional practice (adjusted odds ratio, 23.72; 95% confidence interval, 1.75-infiniti). Thus, we conclude that automatic provision of decision support is a critical feature of successful CPOE-based CDSS interventions.
Reconstruction of nonlinear wave propagation
Fleischer, Jason W; Barsi, Christopher; Wan, Wenjie
2013-04-23
Disclosed are systems and methods for characterizing a nonlinear propagation environment by numerically propagating a measured output waveform resulting from a known input waveform. The numerical propagation reconstructs the input waveform, and in the process, the nonlinear environment is characterized. In certain embodiments, knowledge of the characterized nonlinear environment facilitates determination of an unknown input based on a measured output. Similarly, knowledge of the characterized nonlinear environment also facilitates formation of a desired output based on a configurable input. In both situations, the input thus characterized and the output thus obtained include features that would normally be lost in linear propagations. Such features can include evanescent waves and peripheral waves, such that an image thus obtained are inherently wide-angle, farfield form of microscopy.
Combustion process science and technology
NASA Technical Reports Server (NTRS)
Hale, Robert R.
1989-01-01
An important and substantial area of technical work in which noncontact temperature measurement (NCTM) is desired is that involving combustion process research. In the planning for this workshop, it was hoped that W. Serignano would provide a briefing regarding the experimental requirements for thermal measurements to support such research. The particular features of thermal measurement requirements included those describing the timeline for combustion experiments, the requirements for thermal control and diagnostics of temperature and other related thermal measurements and the criticality to the involved science to parametric features of measurement capability including precision, repeatability, stability, and resolution. In addition, it was hoped that definitions could be provided which characterize the needs for concurrent imaging as it relates to science observations during the conduct of experimentation.
OpenMM 7: Rapid development of high performance algorithms for molecular dynamics
Swails, Jason; Zhao, Yutong; Beauchamp, Kyle A.; Wang, Lee-Ping; Stern, Chaya D.; Brooks, Bernard R.; Pande, Vijay S.
2017-01-01
OpenMM is a molecular dynamics simulation toolkit with a unique focus on extensibility. It allows users to easily add new features, including forces with novel functional forms, new integration algorithms, and new simulation protocols. Those features automatically work on all supported hardware types (including both CPUs and GPUs) and perform well on all of them. In many cases they require minimal coding, just a mathematical description of the desired function. They also require no modification to OpenMM itself and can be distributed independently of OpenMM. This makes it an ideal tool for researchers developing new simulation methods, and also allows those new methods to be immediately available to the larger community. PMID:28746339
Sedda, Anna; Bottini, Gabriella
2014-01-01
This review summarizes the available studies of a rare condition in which individuals seek the amputation of a healthy limb or desire to be paraplegic. Since 1977, case reports and group studies have been produced, trying to understand the cause of this unusual desire. The main etiological hypotheses are presented, from the psychological/psychiatric to the most recent neurologic explanation. The paradigms adopted and the clinical features are compared across studies and analyzed in detail. Finally, future directions and ethical implications are discussed. A proposal is made to adopt a multidisciplinary approach that comprises state-of-the-art technologies and a variety of theoretical models, including both body representation and psychological and sexual components.
Low-temperature technique for thick film resist stabilization and curing
NASA Astrophysics Data System (ADS)
Minter, Jason P.; Wong, Selmer S.; Marlowe, Trey; Ross, Matthew F.; Narcy, Mark E.; Livesay, William R.
1999-06-01
For a range of thick film photoresist applications, including MeV ion implant processing, thin film head manufacturing, and microelectromechanical systems processing, there is a need for a low-temperature method for resist stabilization and curing. Traditional methods of stabilizing or curing resist films have relied on thermal cycling, which may not be desirable due to device temperature limitations or thermally-induced distortion of the resist features.
Requirements' Role in Mobilizing and Enabling Design Conversation
NASA Astrophysics Data System (ADS)
Bergman, Mark
Requirements play a critical role in a design conversation of systems and products. Product and system design exists at the crossroads of problems, solutions and requirements. Requirements contextualize problems and solutions, pointing the way to feasible outcomes. These are captured with models and detailed specifications. Still, stakeholders need to be able to understand one-another using shared design representations in order to mobilize bias and transform knowledge towards legitimized, desired results. Many modern modeling languages, including UML, as well as detailed, logic-based specifications are beyond the comprehension of key stakeholders. Hence, they inhibit, rather than promote design conversation. Improved design boundary objects (DBO), especially design requirements boundary objects (DRBO), need to be created and refined to improve the communications between principals. Four key features of design boundary objects that improve and promote design conversation are discussed in detail. A systems analysis and design case study is presented which demonstrates these features in action. It describes how a small team of analysts worked with key stakeholders to mobilize and guide a complex system design discussion towards an unexpected, yet desired outcome within a short time frame.
Vu, Cung Khac; Skelt, Christopher; Nihei, Kurt; Johnson, Paul A.; Guyer, Robert; Ten Cate, James A.; Le Bas, Pierre -Yves; Larmat, Carene S.
2015-08-18
A method of interrogating a formation includes generating a conical acoustic signal, at a first frequency--a second conical acoustic signal at a second frequency each in the between approximately 500 Hz and 500 kHz such that the signals intersect in a desired intersection volume outside the borehole. The method further includes receiving, a difference signal returning to the borehole resulting from a non-linear mixing of the signals in a mixing zone within the intersection volume.
TSAPA: identification of tissue-specific alternative polyadenylation sites in plants.
Ji, Guoli; Chen, Moliang; Ye, Wenbin; Zhu, Sheng; Ye, Congting; Su, Yaru; Peng, Haonan; Wu, Xiaohui
2018-06-15
Alternative polyadenylation (APA) is now emerging as a widespread mechanism modulated tissue-specifically, which highlights the need to define tissue-specific poly(A) sites for profiling APA dynamics across tissues. We have developed an R package called TSAPA based on the machine learning model for identifying tissue-specific poly(A) sites in plants. A feature space including more than 200 features was assembled to specifically characterize poly(A) sites in plants. The classification model in TSAPA can be customized by selecting desirable features or classifiers. TSAPA is also capable of predicting tissue-specific poly(A) sites in unannotated intergenic regions. TSAPA will be a valuable addition to the community for studying dynamics of APA in plants. https://github.com/BMILAB/TSAPA. Supplementary data are available at Bioinformatics online.
Flexible-Wing-Based Micro Air Vehicles
NASA Technical Reports Server (NTRS)
Ifju, Peter G.; Jenkins, David A.; Ettinger, Scott; Lian, Yong-Sheng; Shyy, Wei; Waszak, Martin R.
2002-01-01
This paper documents the development and evaluation of an original flexible-wing-based Micro Air Vehicle (MAV) technology that reduces adverse effects of gusty wind conditions and unsteady aerodynamics, exhibits desirable flight stability, and enhances structural durability. The flexible wing concept has been demonstrated on aircraft with wingspans ranging from 18 inches to 5 inches. Salient features of the flexible-wing-based MAV, including the vehicle concept, flexible wing design, novel fabrication methods, aerodynamic assessment, and flight data analysis are presented.
Scaling laws in granular flow and pedestrian flow
NASA Astrophysics Data System (ADS)
Chen, Shumiao; Alonso-Marroquin, Fernando; Busch, Jonathan; Hidalgo, Raúl Cruz; Sathianandan, Charmila; Ramírez-Gómez, Álvaro; Mora, Peter
2013-06-01
We use particle-based simulations to examine the flow of particles through an exit. Simulations involve both gravity-driven particles (representing granular material) and velocity-driven particles (mimicking pedestrian dynamics). Contact forces between particles include elastic, viscous, and frictional forces; and simulations use bunker geometry. Power laws are observed in the relation between flow rate and exit width. Simulations of granular flow showed that the power law has little dependence on the coefficient of friction. Polydisperse granular systems produced higher flow rates than those produced by monodisperse ones. We extend the particle model to include the main features of pedestrian dynamics: thoracic shape, shoulder rotation, and desired velocity oriented towards the exit. Higher desired velocity resulted in higher flow rate. Granular simulations always give higher flow rate than pedestrian simulations, despite the values of aspect ratio of the particles. In terms of force distribution, pedestrians and granulates share similar properties with the non-democratic distribution of forces that poses high risks of injuries in a bottleneck situation.
ERIC Educational Resources Information Center
Peace, Kristine A.; Bouvier, Kristen A.
2008-01-01
This study examined the potential influence of alexithymia, dissociation, and social desirability on the narrative features associated with truthful and fabricated traumatic events. Participants (N = 291) wrote narratives describing both genuine and fabricated traumas and completed scales measuring individual differences. Alexithymia was…
Chang, Kaowen Grace; Chien, Hungju
2017-07-05
Studies have suggested that visiting and viewing landscaping at hospitals accelerates patient's recovery from surgery and help staff's recovery from mental fatigue. To plan and construct such landscapes, we need to unravel landscape features desirable to different groups so that the space can benefit a wide range of hospital users. Using discrete choice modeling, we developed experimental choice sets to investigate how landscape features influence the visitations of different users in a large regional hospital in Taiwan. The empirical survey provides quantitative estimates of the influence of each landscape feature on four user groups, including patients, caregivers, staff, and neighborhood residents. Our findings suggest that different types of features promote visits from specific user groups. Landscape features facilitating physical activities effectively encourage visits across user groups especially for caregivers and staff. Patients in this study specify a strong need for contact with nature. The nearby community favors the features designed for children's play and family activities. People across user groups value the features that provide a mitigated microclimate of comfort, such as a shelter. Study implications and limitations are also discussed. Our study provides information essential for creating a better healing environment in a hospital setting.
ERIC Educational Resources Information Center
Wool, D. L.; Kanfer, A. G.; Michaels, J.; Thompson, S.; Morris, S. A.; Hasler, C. M.
2000-01-01
A study of the "Ask an Expert" feature of StratSoy, a Web-based information system, surveyed 50 users and 48 using it for the first time. Topic areas of interest and web site features desired by respondents were identified. (JOW)
BioSAVE: display of scored annotation within a sequence context.
Pollock, Richard F; Adryan, Boris
2008-03-20
Visualization of sequence annotation is a common feature in many bioinformatics tools. For many applications it is desirable to restrict the display of such annotation according to a score cutoff, as biological interpretation can be difficult in the presence of the entire data. Unfortunately, many visualisation solutions are somewhat static in the way they handle such score cutoffs. We present BioSAVE, a sequence annotation viewer with on-the-fly selection of visualisation thresholds for each feature. BioSAVE is a versatile OS X program for visual display of scored features (annotation) within a sequence context. The program reads sequence and additional supplementary annotation data (e.g., position weight matrix matches, conservation scores, structural domains) from a variety of commonly used file formats and displays them graphically. Onscreen controls then allow for live customisation of these graphics, including on-the-fly selection of visualisation thresholds for each feature. Possible applications of the program include display of transcription factor binding sites in a genomic context or the visualisation of structural domain assignments in protein sequences and many more. The dynamic visualisation of these annotations is useful, e.g., for the determination of cutoff values of predicted features to match experimental data. Program, source code and exemplary files are freely available at the BioSAVE homepage.
BioSAVE: Display of scored annotation within a sequence context
Pollock, Richard F; Adryan, Boris
2008-01-01
Background Visualization of sequence annotation is a common feature in many bioinformatics tools. For many applications it is desirable to restrict the display of such annotation according to a score cutoff, as biological interpretation can be difficult in the presence of the entire data. Unfortunately, many visualisation solutions are somewhat static in the way they handle such score cutoffs. Results We present BioSAVE, a sequence annotation viewer with on-the-fly selection of visualisation thresholds for each feature. BioSAVE is a versatile OS X program for visual display of scored features (annotation) within a sequence context. The program reads sequence and additional supplementary annotation data (e.g., position weight matrix matches, conservation scores, structural domains) from a variety of commonly used file formats and displays them graphically. Onscreen controls then allow for live customisation of these graphics, including on-the-fly selection of visualisation thresholds for each feature. Conclusion Possible applications of the program include display of transcription factor binding sites in a genomic context or the visualisation of structural domain assignments in protein sequences and many more. The dynamic visualisation of these annotations is useful, e.g., for the determination of cutoff values of predicted features to match experimental data. Program, source code and exemplary files are freely available at the BioSAVE homepage. PMID:18366701
NASA Technical Reports Server (NTRS)
Yeh, J. W.
1971-01-01
The general features of the GENET system for simulating networks are described. A set of features is presented which are desirable for network simulations and which are expected to be achieved by this system. Among these features are: (1) two level network modeling; and (2) problem oriented operations. Several typical network systems are modeled in GENET framework to illustrate various of the features and to show its applicability.
A Versatile, User-Oriented, Computerized Library System.
ERIC Educational Resources Information Center
Neuron, Eric
This paper deals with the problem of the referencing or storing methods in information systems which must be designed to allow for rapid retrieval of the key data leading to the desired information or the recovery of the information directly. Considered as a secondary, but frequently desirable, feature for the system is the ability to determine…
Mask manufacturing of advanced technology designs using multi-beam lithography (part 2)
NASA Astrophysics Data System (ADS)
Green, Michael; Ham, Young; Dillon, Brian; Kasprowicz, Bryan; Hur, Ik Boum; Park, Joong Hee; Choi, Yohan; McMurran, Jeff; Kamberian, Henry; Chalom, Daniel; Klikovits, Jan; Jurkovic, Michal; Hudek, Peter
2016-09-01
As optical lithography is extended into 10nm and below nodes, advanced designs are becoming a key challenge for mask manufacturers. Techniques including advanced optical proximity correction (OPC) and Inverse Lithography Technology (ILT) result in structures that pose a range of issues across the mask manufacturing process. Among the new challenges are continued shrinking sub-resolution assist features (SRAFs), curvilinear SRAFs, and other complex mask geometries that are counter-intuitive relative to the desired wafer pattern. Considerable capability improvements over current mask making methods are necessary to meet the new requirements particularly regarding minimum feature resolution and pattern fidelity. Advanced processes using the IMS Multi-beam Mask Writer (MBMW) are feasible solutions to these coming challenges. In this paper, Part 2 of our study, we further characterize an MBMW process for 10nm and below logic node mask manufacturing including advanced pattern analysis and write time demonstration.
Keshavarz, M; Mojra, A
2015-05-01
Geometrical features of a cancerous tumor embedded in biological soft tissue, including tumor size and depth, are a necessity in the follow-up procedure and making suitable therapeutic decisions. In this paper, a new socio-politically motivated global search strategy which is called imperialist competitive algorithm (ICA) is implemented to train a feed forward neural network (FFNN) to estimate the tumor's geometrical characteristics (FFNNICA). First, a viscoelastic model of liver tissue is constructed by using a series of in vitro uniaxial and relaxation test data. Then, 163 samples of the tissue including a tumor with different depths and diameters are generated by making use of PYTHON programming to link the ABAQUS and MATLAB together. Next, the samples are divided into 123 samples as training dataset and 40 samples as testing dataset. Training inputs of the network are mechanical parameters extracted from palpation of the tissue through a developing noninvasive technology called artificial tactile sensing (ATS). Last, to evaluate the FFNNICA performance, outputs of the network including tumor's depth and diameter are compared with desired values for both training and testing datasets. Deviations of the outputs from desired values are calculated by a regression analysis. Statistical analysis is also performed by measuring Root Mean Square Error (RMSE) and Efficiency (E). RMSE in diameter and depth estimations are 0.50 mm and 1.49, respectively, for the testing dataset. Results affirm that the proposed optimization algorithm for training neural network can be useful to characterize soft tissue tumors accurately by employing an artificial palpation approach. Copyright © 2015 John Wiley & Sons, Ltd.
Fukunaga-Koontz transform based dimensionality reduction for hyperspectral imagery
NASA Astrophysics Data System (ADS)
Ochilov, S.; Alam, M. S.; Bal, A.
2006-05-01
Fukunaga-Koontz Transform based technique offers some attractive properties for desired class oriented dimensionality reduction in hyperspectral imagery. In FKT, feature selection is performed by transforming into a new space where feature classes have complimentary eigenvectors. Dimensionality reduction technique based on these complimentary eigenvector analysis can be described under two classes, desired class and background clutter, such that each basis function best represent one class while carrying the least amount of information from the second class. By selecting a few eigenvectors which are most relevant to desired class, one can reduce the dimension of hyperspectral cube. Since the FKT based technique reduces data size, it provides significant advantages for near real time detection applications in hyperspectral imagery. Furthermore, the eigenvector selection approach significantly reduces computation burden via the dimensionality reduction processes. The performance of the proposed dimensionality reduction algorithm has been tested using real-world hyperspectral dataset.
Reimer, Andreas; Vasilevich, Aliaksei; Hulshof, Frits; Viswanathan, Priyalakshmi; van Blitterswijk, Clemens A.; de Boer, Jan; Watt, Fiona M.
2016-01-01
It is well established that topographical features modulate cell behaviour, including cell morphology, proliferation and differentiation. To define the effects of topography on human induced pluripotent stem cells (iPSC), we plated cells on a topographical library containing over 1000 different features in medium lacking animal products (xeno-free). Using high content imaging, we determined the effect of each topography on cell proliferation and expression of the pluripotency marker Oct4 24 h after seeding. Features that maintained Oct4 expression also supported proliferation and cell-cell adhesion at 24 h, and by 4 days colonies of Oct4-positive, Sox2-positive cells had formed. Computational analysis revealed that small feature size was the most important determinant of pluripotency, followed by high wave number and high feature density. Using this information we correctly predicted whether any given topography within our library would support the pluripotent state at 24 h. This approach not only facilitates the design of substrates for optimal human iPSC expansion, but also, potentially, identification of topographies with other desirable characteristics, such as promoting differentiation. PMID:26757610
Reimer, Andreas; Vasilevich, Aliaksei; Hulshof, Frits; Viswanathan, Priyalakshmi; van Blitterswijk, Clemens A; de Boer, Jan; Watt, Fiona M
2016-01-13
It is well established that topographical features modulate cell behaviour, including cell morphology, proliferation and differentiation. To define the effects of topography on human induced pluripotent stem cells (iPSC), we plated cells on a topographical library containing over 1000 different features in medium lacking animal products (xeno-free). Using high content imaging, we determined the effect of each topography on cell proliferation and expression of the pluripotency marker Oct4 24 h after seeding. Features that maintained Oct4 expression also supported proliferation and cell-cell adhesion at 24 h, and by 4 days colonies of Oct4-positive, Sox2-positive cells had formed. Computational analysis revealed that small feature size was the most important determinant of pluripotency, followed by high wave number and high feature density. Using this information we correctly predicted whether any given topography within our library would support the pluripotent state at 24 h. This approach not only facilitates the design of substrates for optimal human iPSC expansion, but also, potentially, identification of topographies with other desirable characteristics, such as promoting differentiation.
NASA Technical Reports Server (NTRS)
Lewis, Steven J.; Palacios, David M.
2013-01-01
This software can track multiple moving objects within a video stream simultaneously, use visual features to aid in the tracking, and initiate tracks based on object detection in a subregion. A simple programmatic interface allows plugging into larger image chain modeling suites. It extracts unique visual features for aid in tracking and later analysis, and includes sub-functionality for extracting visual features about an object identified within an image frame. Tracker Toolkit utilizes a feature extraction algorithm to tag each object with metadata features about its size, shape, color, and movement. Its functionality is independent of the scale of objects within a scene. The only assumption made on the tracked objects is that they move. There are no constraints on size within the scene, shape, or type of movement. The Tracker Toolkit is also capable of following an arbitrary number of objects in the same scene, identifying and propagating the track of each object from frame to frame. Target objects may be specified for tracking beforehand, or may be dynamically discovered within a tripwire region. Initialization of the Tracker Toolkit algorithm includes two steps: Initializing the data structures for tracked target objects, including targets preselected for tracking; and initializing the tripwire region. If no tripwire region is desired, this step is skipped. The tripwire region is an area within the frames that is always checked for new objects, and all new objects discovered within the region will be tracked until lost (by leaving the frame, stopping, or blending in to the background).
Desired features of smartphone applications promoting physical activity.
Rabin, Carolyn; Bock, Beth
2011-12-01
Approximately one-third of adults in the United States are physically inactive. This is a significant public health concern as physical activity (PA) can influence the risk of cardiovascular disease, diabetes, and certain forms of cancer. To minimize these health risks, effective PA interventions must be developed and disseminated to the vast number of individuals who remain sedentary. Smartphone technology presents an exciting opportunity for delivering PA interventions remotely. Although a number of PA applications are currently available for smartphones, these "apps" are not based on established theories of health behavior change and most do not include evidence-based features (e.g., reinforcement and goal setting). Our aim was to collect formative data to develop a smartphone PA app that is empirically and theoretically-based and incorporates user preferences. We recruited 15 sedentary adults to test three currently available PA smartphone apps and provide qualitative and quantitative feedback. Findings indicate that users have a number of specific preferences with regard to PA app features, including that apps provide automatic tracking of PA (e.g., steps taken and calories burned), track progress toward PA goals, and integrate a music feature. Participants also preferred that PA apps be flexible enough to be used with several types of PA, and have well-documented features and user-friendly interfaces (e.g., a one-click main page). When queried by the researcher, most participants endorsed including goal-setting and problem-solving features. These findings provide a blue print for developing a smartphone PA app that incorporates evidence-based components and user preferences.
Reaction to Penn et al.'s "On the Desirability of Own-Group Preference."
ERIC Educational Resources Information Center
Taylor, Jerome
1993-01-01
Claim of Michael L. Penn, Stanley O. Gaines, and Layli Phillips (1993) in their article "On the Desirability of Own-Group Preference"--that self-esteem and identity achievement are unrelated to own-group preference--is a matter of controversy. Recommendations are made for research that considers physical features beyond skin color,…
Teo, Alan R; Fetters, Michael D; Stufflebam, Kyle; Tateno, Masaru; Balhara, Yatan; Choi, Tae Young; Kanba, Shigenobu; Mathews, Carol A; Kato, Takahiro A
2015-02-01
Hikikomori, a form of social withdrawal first reported in Japan, may exist globally but cross-national studies of cases of hikikomori are lacking. To identify individuals with hikikomori in multiple countries and describe features of the condition. Participants were recruited from sites in India, Japan, Korea and the United States. Hikikomori was defined as a 6-month or longer period of spending almost all time at home and avoiding social situations and social relationships, associated with significant distress/impairment. Additional measures included the University of California, Los Angeles (UCLA) Loneliness Scale, Lubben Social Network Scale (LSNS-6), Sheehan Disability Scale (SDS) and modified Cornell Treatment Preferences Index. A total of 36 participants with hikikomori were identified, with cases detected in all four countries. These individuals had high levels of loneliness (UCLA Loneliness Scale M = 55.4, SD = 10.5), limited social networks (LSNS-6 M = 9.7, SD = 5.5) and moderate functional impairment (SDS M = 16.5, SD = 7.9). Of them 28 (78%) desired treatment for their social withdrawal, with a significantly higher preference for psychotherapy over pharmacotherapy, in-person over telepsychiatry treatment and mental health specialists over primary care providers. Across countries, participants with hikikomori had similar generally treatment preferences and psychosocial features. Hikikomori exists cross-nationally and can be assessed with a standardized assessment tool. Individuals with hikikomori have substantial psychosocial impairment and disability, and some may desire treatment. © The Author(s) 2014.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Udhay Ravishankar; Milos manic
2013-08-01
This paper presents a micro-grid simulator tool useful for implementing and testing multi-agent controllers (SGridSim). As a common engineering practice it is important to have a tool that simplifies the modeling of the salient features of a desired system. In electric micro-grids, these salient features are the voltage and power distributions within the micro-grid. Current simplified electric power grid simulator tools such as PowerWorld, PowerSim, Gridlab, etc, model only the power distribution features of a desired micro-grid. Other power grid simulators such as Simulink, Modelica, etc, use detailed modeling to accommodate the voltage distribution features. This paper presents a SGridSimmore » micro-grid simulator tool that simplifies the modeling of both the voltage and power distribution features in a desired micro-grid. The SGridSim tool accomplishes this simplified modeling by using Effective Node-to-Node Complex Impedance (EN2NCI) models of components that typically make-up a micro-grid. The term EN2NCI models means that the impedance based components of a micro-grid are modeled as single impedances tied between their respective voltage nodes on the micro-grid. Hence the benefit of the presented SGridSim tool are 1) simulation of a micro-grid is performed strictly in the complex-domain; 2) faster simulation of a micro-grid by avoiding the simulation of detailed transients. An example micro-grid model was built using the SGridSim tool and tested to simulate both the voltage and power distribution features with a total absolute relative error of less than 6%.« less
Chang, Kaowen Grace; Chien, Hungju
2017-01-01
Studies have suggested that visiting and viewing landscaping at hospitals accelerates patient’s recovery from surgery and help staff’s recovery from mental fatigue. To plan and construct such landscapes, we need to unravel landscape features desirable to different groups so that the space can benefit a wide range of hospital users. Using discrete choice modeling, we developed experimental choice sets to investigate how landscape features influence the visitations of different users in a large regional hospital in Taiwan. The empirical survey provides quantitative estimates of the influence of each landscape feature on four user groups, including patients, caregivers, staff, and neighborhood residents. Our findings suggest that different types of features promote visits from specific user groups. Landscape features facilitating physical activities effectively encourage visits across user groups especially for caregivers and staff. Patients in this study specify a strong need for contact with nature. The nearby community favors the features designed for children’s play and family activities. People across user groups value the features that provide a mitigated microclimate of comfort, such as a shelter. Study implications and limitations are also discussed. Our study provides information essential for creating a better healing environment in a hospital setting. PMID:28678168
Boyle, Leah; Grainger, Rebecca; Hall, Rosemary M; Krebs, Jeremy D
2017-06-30
People with diabetes mellitus (DM) are using mobile phone apps to support self-management. The numerous apps available to assist with diabetes management have a variety of functions. Some functions, like insulin dose calculators, have significant potential for harm. The study aimed to establish (1) whether people with DM in Wellington, New Zealand, use apps for DM self-management and evaluate desirable features of apps and (2) whether health professionals (HPs) in New Zealand treating people with DM recommend apps to patients, the features HPs regard as important, and their confidence with recommending apps. A survey of patients seen at a hospital diabetes clinic over 12 months (N=539) assessed current app use and desirable features. A second survey of HPs attending a diabetes conference (n=286) assessed their confidence with app recommendations and perceived usefulness. Of the 189 responders (35.0% response rate) to the patient survey, 19.6% (37/189) had used a diabetes app. App users were younger and in comparison to other forms of diabetes mellitus, users prominently had type 1 DM. The most favored feature of the app users was a glucose diary (87%, 32/37), and an insulin calculator was the most desirable function for a future app (46%, 17/37). In non-app users, the most desirable feature for a future app was a glucose diary (64.4%, 98/152). Of the 115 responders (40.2% response rate) to the HPs survey, 60.1% (68/113) had recommended a diabetes app. Diaries for blood glucose levels and carbohydrate counting were considered the most useful app features and the features HPs felt most confident to recommend. HPs were least confident in recommending insulin calculation apps. The use of apps to record blood glucose was the most favored function in apps used by people with diabetes, with interest in insulin dose calculating function. HPs do not feel confident in recommending insulin dose calculators. There is an urgent need for an app assessment process to give confidence in the quality and safety of diabetes management apps to people with diabetes (potential app users) and HPs (potential app prescribers). ©Leah Boyle, Rebecca Grainger, Rosemary M Hall, Jeremy D Krebs. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 30.06.2017.
Flow diverter value and flow diversion method
NASA Technical Reports Server (NTRS)
Arline, S. B.; Carlson, R. L. (Inventor)
1964-01-01
A flow diverter valve applicable to any fluid flow system requiring rapid bleed or bypass is disclosed. Examples of application of the flow diverter valve to a liquid rocket and a turbojet aircraft engine are given. Features of the valve include: (1) an independent fluid source is used to activate the flow diverter valve toward its closed position during its initial stage of travel; (2) the flow diverter port area and size is unlimited and the valve travel is unlimited; and (3) the valve housing is fabricated such that the valve can be a one step valve, a two step valve, or include as many steps as are found desirable.
Prause, Nicole; Steele, Vaughn R; Staley, Cameron; Sabatinelli, Dean; Hajcak, Greg
2015-07-01
"Excessive" viewing of visual sexual stimuli (VSS) is the most commonly reported hypersexual behavior problem and is especially amenable to laboratory study. A pattern of enhanced sexual cue responsiveness is expected in this sample if hypersexuality shares features of other addiction models. Participants (N=122) who either reported or denied problematic VSS use were presented with emotional, including explicit sexual, images while their evoked response potentials were recorded. An interaction of hypersexual problem group and the level of desire for sex with a partner predicted LPP amplitude. Specifically, those reporting problems regulating their VSS use who also reported higher sexual desire had lower LPP in response to VSS. This pattern appears different from substance addiction models. These are the first functional physiological data of persons reporting VSS regulation problems. Copyright © 2015 Elsevier B.V. All rights reserved.
Teaching and assessing professionalism in medicine.
Duff, Patrick
2004-12-01
Professionalism is the single most important of the clinical competencies. Lack of professional behavior, in turn, is the single most common cause for disciplinary action against third and fourth-year medical students, residents, fellows, and clinical practitioners. Desirable professional attributes include humility, honesty, responsibility, reliability, and accountability. The ability to preserve an appropriate balance between patient care responsibilities and personal commitments also is an important feature of professional behavior. Altruism, respectfulness, loyalty, compassion, sensitivity, and tactfulness are other desirable professional attributes. In addition, professionalism requires a heightened sense of intellectual curiosity, insight into personal strengths and weaknesses, maturity, and commitment to clinical excellence and self-directed learning. Professionalism can be taught and assessed through lectures, small-group seminars, role-playing exercises, directed reading, and one-on-one observation and counseling. However, the most effective way of teaching professionalism is for instructors to model appropriate behavior and to impose a consistent policy of zero tolerance for unprofessional behavior.
ERIC Educational Resources Information Center
Vandenbroeck, M.; De Visscher, S.; Van Nuffel, K.; Ferla, J.
2008-01-01
The availability, affordability, and desirability of quality child care are matters of concern, especially for children raised in poverty, given the literature showing that young children raised in poverty can benefit from early access to quality care. The unique features of the Brussels context enable us to look at the connection between…
Design of fluidic self-assembly bonds for precise component positioning
NASA Astrophysics Data System (ADS)
Ramadoss, Vivek; Crane, Nathan B.
2008-02-01
Self Assembly is a promising alternative to conventional pick and place robotic assembly of micro components. Its benefits include parallel integration of parts with low equipment costs. Various approaches to self assembly have been demonstrated, yet demanding applications like assembly of micro-optical devices require increased positioning accuracy. This paper proposes a new method for design of self assembly bonds that addresses this need. Current methods have zero force at the desired assembly position and low stiffness. This allows small disturbance forces to create significant positioning errors. The proposed method uses a substrate assembly feature to provide a high accuracy alignment guide to the part. The capillary bond region of the part and substrate are then modified to create a non-zero positioning force to maintain the part in the desired assembly position. Capillary force models show that this force aligns the part to the substrate assembly feature and reduces sensitivity of part position to process variation. Thus, the new configuration can substantially improve positioning accuracy of capillary self-assembly. This will result in a dramatic decrease in positioning errors in the micro parts. Various binding site designs are analyzed and guidelines are proposed for the design of an effective assembly bond using this new approach.
Middle-aged women's preferred theory-based features in mobile physical activity applications.
Ehlers, Diane K; Huberty, Jennifer L
2014-09-01
The purpose of this study was to describe which theory-based behavioral and technological features middle-aged women prefer to be included in a mobile application designed to help them adopt and maintain regular physical activity (PA). Women aged 30 to 64 years (N = 120) completed an online survey measuring their demographics and mobile PA application preferences. The survey was developed upon behavioral principles of Social Cognitive Theory, recent mobile app research, and technology adoption principles of the Unified Theory of Acceptance and Use of Technology. Frequencies were calculated and content analyses conducted to identify which features women most preferred. Behavioral features that help women self-regulate their PA (PA tracking, goal-setting, progress monitoring) were most preferred. Technological features that enhance perceived effort expectancy and playfulness were most preferred. Many women reported the desire to interact and compete with others through the application. Theory-based PA self-regulation features and theory-based design features that improve perceived effort expectancy and playfulness may be most beneficial in a mobile PA application for middle-aged women. Opportunities to interact with other people and the employment of social, game-like activities may also be attractive. Interdisciplinary engagement of experts in PA behavior change, technology adoption, and software development is needed.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Benbennick, M.E.; Broton, M.S.; Fuoto, J.S.
This report describes a model tracking system for a low-level radioactive waste (LLW) disposal facility license application. In particular, the model tracks interrogatories (questions, requests for information, comments) and responses. A set of requirements and desired features for the model tracking system was developed, including required structure and computer screens. Nine tracking systems were then reviewed against the model system requirements and only two were found to meet all requirements. Using Kepner-Tregoe decision analysis, a model tracking system was selected.
Photoacoustic emission from fluorescent nanodiamonds enhanced with gold nanoparticles
Zhang, Bailin; Fang, Chia-Yi; Chang, Cheng-Chun; Peterson, Ralph; Maswadi, Saher; Glickman, Randolph D.; Chang, Huan-Cheng; Ye, Jing Yong
2012-01-01
Fluorescent nanodiamonds (FNDs) have drawn much attention in recent years for biomedical imaging applications due to their desired physical properties including excellent photostability, high biocompatibility, extended far-red fluorescence emission, and ease of surface functionalization. Here we explore a new feature of FNDs, i.e. their photoacoustic emission capability, which may lead to potential applications of using FNDs as a dual imaging contrast agent for combined fluorescence and photoacoustic imaging modalities. We observed significant enhancement of photoacoustic emission from FNDs when they were conjugated with gold nanoparticles (GNPs). PMID:22808436
Photoacoustic emission from fluorescent nanodiamonds enhanced with gold nanoparticles.
Zhang, Bailin; Fang, Chia-Yi; Chang, Cheng-Chun; Peterson, Ralph; Maswadi, Saher; Glickman, Randolph D; Chang, Huan-Cheng; Ye, Jing Yong
2012-07-01
Fluorescent nanodiamonds (FNDs) have drawn much attention in recent years for biomedical imaging applications due to their desired physical properties including excellent photostability, high biocompatibility, extended far-red fluorescence emission, and ease of surface functionalization. Here we explore a new feature of FNDs, i.e. their photoacoustic emission capability, which may lead to potential applications of using FNDs as a dual imaging contrast agent for combined fluorescence and photoacoustic imaging modalities. We observed significant enhancement of photoacoustic emission from FNDs when they were conjugated with gold nanoparticles (GNPs).
Guidance for human interface with artificial intelligence systems
NASA Technical Reports Server (NTRS)
Potter, Scott S.; Woods, David D.
1991-01-01
The beginning of a research effort to collect and integrate existing research findings about how to combine computer power and people is discussed, including problems and pitfalls as well as desirable features. The goal of the research is to develop guidance for the design of human interfaces with intelligent systems. Fault management tasks in NASA domains are the focus of the investigation. Research is being conducted to support the development of guidance for designers that will enable them to make human interface considerations into account during the creation of intelligent systems.
Construction of a WMR for trajectory tracking control: experimental results.
Silva-Ortigoza, R; Márquez-Sánchez, C; Marcelino-Aranda, M; Marciano-Melchor, M; Silva-Ortigoza, G; Bautista-Quintero, R; Ramos-Silvestre, E R; Rivera-Díaz, J C; Muñoz-Carrillo, D
2013-01-01
This paper reports a solution for trajectory tracking control of a differential drive wheeled mobile robot (WMR) based on a hierarchical approach. The general design and construction of the WMR are described. The hierarchical controller proposed has two components: a high-level control and a low-level control. The high-level control law is based on an input-output linearization scheme for the robot kinematic model, which provides the desired angular velocity profiles that the WMR has to track in order to achieve the desired position (x∗, y∗) and orientation (φ∗). Then, a low-level control law, based on a proportional integral (PI) approach, is designed to control the velocity of the WMR wheels to ensure those tracking features. Regarding the trajectories, this paper provides the solution or the following cases: (1) time-varying parametric trajectories such as straight lines and parabolas and (2) smooth curves fitted by cubic splines which are generated by the desired data points {(x₁∗, y₁∗),..., (x(n)∗, y(n)∗)}. A straightforward algorithm is developed for constructing the cubic splines. Finally, this paper includes an experimental validation of the proposed technique by employing a DS1104 dSPACE electronic board along with MATLAB/Simulink software.
Construction of a WMR for Trajectory Tracking Control: Experimental Results
Silva-Ortigoza, R.; Márquez-Sánchez, C.; Marcelino-Aranda, M.; Marciano-Melchor, M.; Silva-Ortigoza, G.; Bautista-Quintero, R.; Ramos-Silvestre, E. R.; Rivera-Díaz, J. C.; Muñoz-Carrillo, D.
2013-01-01
This paper reports a solution for trajectory tracking control of a differential drive wheeled mobile robot (WMR) based on a hierarchical approach. The general design and construction of the WMR are described. The hierarchical controller proposed has two components: a high-level control and a low-level control. The high-level control law is based on an input-output linearization scheme for the robot kinematic model, which provides the desired angular velocity profiles that the WMR has to track in order to achieve the desired position (x∗, y∗) and orientation (φ∗). Then, a low-level control law, based on a proportional integral (PI) approach, is designed to control the velocity of the WMR wheels to ensure those tracking features. Regarding the trajectories, this paper provides the solution or the following cases: (1) time-varying parametric trajectories such as straight lines and parabolas and (2) smooth curves fitted by cubic splines which are generated by the desired data points {(x1∗, y1∗),..., (xn∗, yn∗)}. A straightforward algorithm is developed for constructing the cubic splines. Finally, this paper includes an experimental validation of the proposed technique by employing a DS1104 dSPACE electronic board along with MATLAB/Simulink software. PMID:23997679
CAESY - COMPUTER AIDED ENGINEERING SYSTEM
NASA Technical Reports Server (NTRS)
Wette, M. R.
1994-01-01
Many developers of software and algorithms for control system design have recognized that current tools have limits in both flexibility and efficiency. Many forces drive the development of new tools including the desire to make complex system modeling design and analysis easier and the need for quicker turnaround time in analysis and design. Other considerations include the desire to make use of advanced computer architectures to help in control system design, adopt new methodologies in control, and integrate design processes (e.g., structure, control, optics). CAESY was developed to provide a means to evaluate methods for dealing with user needs in computer-aided control system design. It is an interpreter for performing engineering calculations and incorporates features of both Ada and MATLAB. It is designed to be reasonably flexible and powerful. CAESY includes internally defined functions and procedures, as well as user defined ones. Support for matrix calculations is provided in the same manner as MATLAB. However, the development of CAESY is a research project, and while it provides some features which are not found in commercially sold tools, it does not exhibit the robustness that many commercially developed tools provide. CAESY is written in C-language for use on Sun4 series computers running SunOS 4.1.1 and later. The program is designed to optionally use the LAPACK math library. The LAPACK math routines are available through anonymous ftp from research.att.com. CAESY requires 4Mb of RAM for execution. The standard distribution medium is a .25 inch streaming magnetic tape cartridge (QIC-24) in UNIX tar format. CAESY was developed in 1993 and is a copyrighted work with all copyright vested in NASA.
Trio of Tryptophans Aid in Camptothecin Therapy | Center for Cancer Research
On occasion, a normally desirable feature becomes not so desirable, making it necessary to find ways to work around it. The double helical nature of DNA helps it attain a compact, supercoiled state, which is essential for lengthy strands of DNA to reside in the nucleus as part of the chromosomes. During DNA replication and gene transcription, however, cellular machinery needs
Uniform competency-based local feature extraction for remote sensing images
NASA Astrophysics Data System (ADS)
Sedaghat, Amin; Mohammadi, Nazila
2018-01-01
Local feature detectors are widely used in many photogrammetry and remote sensing applications. The quantity and distribution of the local features play a critical role in the quality of the image matching process, particularly for multi-sensor high resolution remote sensing image registration. However, conventional local feature detectors cannot extract desirable matched features either in terms of the number of correct matches or the spatial and scale distribution in multi-sensor remote sensing images. To address this problem, this paper proposes a novel method for uniform and robust local feature extraction for remote sensing images, which is based on a novel competency criterion and scale and location distribution constraints. The proposed method, called uniform competency (UC) local feature extraction, can be easily applied to any local feature detector for various kinds of applications. The proposed competency criterion is based on a weighted ranking process using three quality measures, including robustness, spatial saliency and scale parameters, which is performed in a multi-layer gridding schema. For evaluation, five state-of-the-art local feature detector approaches, namely, scale-invariant feature transform (SIFT), speeded up robust features (SURF), scale-invariant feature operator (SFOP), maximally stable extremal region (MSER) and hessian-affine, are used. The proposed UC-based feature extraction algorithms were successfully applied to match various synthetic and real satellite image pairs, and the results demonstrate its capability to increase matching performance and to improve the spatial distribution. The code to carry out the UC feature extraction is available from href="https://www.researchgate.net/publication/317956777_UC-Feature_Extraction.
The 2010 AOP Workshop Summary Report
NASA Technical Reports Server (NTRS)
Hooker, Stanford B.; Morrow, John H.; Brown, James W.; Firestone, Elaine R.
2011-01-01
The rationale behind the current workshop, which was hosted by Biospherical Instruments Inc. (BSI), was to update the community and get community input with respect to the following: topics not addressed during the first workshop, specifically the processing of above-water apparent optical property (AOP data) within the Processing of Radiometric Observations of Seawater using Information Technologies (PROSIT) architecture; PROSIT data processing issues that have developed or tasks that have been completed, since the first workshop; and NASA instrumentation developments, both above- and in-water, that are relevant to both workshops and next generation mission planning. The workshop emphasized presentations on new AOP instrumentation, desired and required features for processing above-water measurements of the AOPs of seawater, working group discussions, and a community update for the in-water data processing already present in PROSIT. The six working groups were organized as follows: a) data ingest and data products; b) required and desired features for optically shallow and optically deep waters; c) contamination rejection (clouds), corrections, and data filtering; d) sun photometry and polarimetry; e) instrumentation networks; and f) hyperspectral versus fixed-wavelength sensors. The instrumentation networks working group was intended to provide more detailed information about desired and required features of autonomous sampling systems. Plenary discussions produced a number of recommendations for evolving and documenting PROSIT.
Summerill, Corinna; Pollard, Simon J T; Smith, Jennifer A
2010-09-15
Appropriate implementation of WSPs offers an important opportunity to engage in and promote preventative risk management within water utilities. To ensure success, the whole organization, especially executive management, need to be advocates. Illustrated by two case studies, we discuss the influence of organizational culture on buy-in and commitment to public health protection and WSPs. Despite an internal desire to undertake risk management, some aspects of organizational culture prevented these from reaching full potential. Enabling cultural features included: camaraderie; competition; proactive, involved leaders; community focus; customer service mentality; transparency; accountability; competent workforce; empowerment; appreciation of successes, and a continual improvement culture. Blocking features included: poor communication; inflexibility; complacency; lack of awareness, interest or reward and coercion. We urge water utilities to consider the influence of organizational culture on the success and sustainability of WSP adoption, and better understand how effective leadership can mould culture to support implementation. Copyright 2010 Elsevier B.V. All rights reserved.
NASA Astrophysics Data System (ADS)
Geeson, N.; van den Elsen, E.; Brandt, J.; Quaranta, G.; Salvia, R.
2012-04-01
In the last twenty years the advent of the internet has made it much easier to share the results of scientific research with a wider range of audiences. Where once there were only scientific journals and books, it is now possible to deliver messages and dissemination products instantly, by email or other media, to huge circulation lists; thereby also addressing non-scientific audiences. Most scientific projects now host a website, but until recently few have exploited the communication possibilities to maximum advantage. DESIRE has been a large interdisciplinary and international project working to mitigate desertification by selecting and trialling sustainable land management practices with stakeholders. Therefore it has been very important to use a general project website, and a separate Harmonised Information System, to ensure that partners and stakeholders are able to understand the sustainable options and learn from one another. The project website has included many useful features, such as general project and partner information, a schedule of future meetings, and repositories of publicly (and project only) downloadable documents. Lessons have been learned about communication preferences between groups with different interests. For example, an on-line forum seemed a good way of allowing project partners to have their say on various topics. However it was not well-used and it was concluded that partners preferred to communicate just by email, a medium that they access most days for many uses. Whereas the project website focuses on the latest news, the Harmonised Information System has been used to document the history of the project, stage by stage, filling in each section as results became available. Information can be accessed from the perspective of both the research aims and each study site. Interactive tools and drop-down menus are among the features that are used to make the information as attractive and as accessible as possible. Although English is the language of scientists, material must be presented in local languages for local people, of which at least 9 are implemented in DESIRE. Of course, not everyone can use a computer or view the internet, so some dissemination products do also have to be downloaded and printed and distributed by hand. The DESIRE website can be accessed at http://www.desire-project.eu/, and the DESIRE Harmonised Information System at http://www.desire-his.eu/
Perceived Importance of Wellness Features at a Cancer Center: Patient and Staff Perspectives.
Tinner, Michelle; Crovella, Paul; Rosenbaum, Paula F
2018-01-01
Determine the relative impact of 11 building wellness features on preference and on the ability to deliver/receive quality care for two groups: patients and caregivers. The impact of building features that promote wellness is of increasing interest to the building owners, designers, and occupants. This study performed a postoccupancy evaluation of two user groups at a healthcare facility with specific wellness features. Seventy-six staff and 62 patients of a cancer center were polled separately to determine their preferences in 11 categories. Results showed that all wellness features were viewed favorably by the two groups, with natural lighting, views of nature, and thermal comfort as top categories for both. The t-test comparisons were performed, and significant differences ( p < .05) between the two groups were found for three of the features (views of nature, art and murals, and indoor plants). Discussion of these differences and the interaction of competing design goals (thermal comfort, views of nature, natural light, and desire for privacy) are included. Designers and owners will want to consider the preferred use of roof gardens, art and murals, and indoor plants for patient spaces, where their relative value is greater. Access to private and quiet spaces is the top need for caregivers. Ease of movement, thermal comfort, and natural light were top needs for patients.
A roadmap of clustering algorithms: finding a match for a biomedical application.
Andreopoulos, Bill; An, Aijun; Wang, Xiaogang; Schroeder, Michael
2009-05-01
Clustering is ubiquitously applied in bioinformatics with hierarchical clustering and k-means partitioning being the most popular methods. Numerous improvements of these two clustering methods have been introduced, as well as completely different approaches such as grid-based, density-based and model-based clustering. For improved bioinformatics analysis of data, it is important to match clusterings to the requirements of a biomedical application. In this article, we present a set of desirable clustering features that are used as evaluation criteria for clustering algorithms. We review 40 different clustering algorithms of all approaches and datatypes. We compare algorithms on the basis of desirable clustering features, and outline algorithms' benefits and drawbacks as a basis for matching them to biomedical applications.
IT-based wellness tools for older adults: Design concepts and feedback.
Joe, Jonathan; Hall, Amanda; Chi, Nai-Ching; Thompson, Hilaire; Demiris, George
2018-03-01
To explore older adults' preferences regarding e-health applications through use of generated concepts that inform wellness tool design. The 6-8-5 method and affinity mapping were used to create e-health design ideas that were translated into storyboards and scenarios. Focus groups were conducted to obtain feedback on the prototypes and included participant sketching. A qualitative analysis of the focus groups for emerging themes was conducted, and sketches were analyzed. Forty-three older adults participated in six focus group sessions. The majority of participants found the wellness tools useful. Preferences included features that supported participants in areas of unmet needs, such as ability to find reliable health information, cognitive training, or maintaining social ties. Participants favored features such as use of voice navigation, but were concerned over cost and the need for technology skills and access. Sketches reinforced these wants, including portability, convenience, and simplicity. Several factors were found to increase the desirability of such devices including convenient access to their health and health information, a simple, accessible interface, and support for memory issues. Researchers and designers should incorporate the feedback of older adults regarding wellness tools, so that future designs meet the needs of older adults.
First 65nm tape-out using inverse lithography technology (ILT)
NASA Astrophysics Data System (ADS)
Hung, Chi-Yuan; Zhang, Bin; Tang, Deming; Guo, Eric; Pang, Linyong; Liu, Yong; Moore, Andrew; Wang, Kechang
2005-11-01
This paper presents SMIC's first 65nm tape out results, in particularly, using ILT. ILT mathematically determines the mask features that produce the desired on-wafer results with best wafer pattern fidelity, largest process window or both. SMIC applied it to its first 65nm tape-out to study ILT performance and benefits for deep sub-wavelength lithography. SMIC selected 3 SRAM designs as the first test case, because SRAM bit-cells contain features which are challenging lithographically. Mask patterns generated from both conventional OPC and ILT were placed on the mask side-by-side. Mask manufacturability (including fracturing, writing time, inspection, and metrology) and wafer print performance of ILT were studied. The results demonstrated that ILT achieved better CD accuracy, produced substantially larger process window than conventional OPC, and met SMIC's 65nm process window requirements.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Rearden, Bradley T.; Jessee, Matthew Anderson
The SCALE Code System is a widely used modeling and simulation suite for nuclear safety analysis and design that is developed, maintained, tested, and managed by the Reactor and Nuclear Systems Division (RNSD) of Oak Ridge National Laboratory (ORNL). SCALE provides a comprehensive, verified and validated, user-friendly tool set for criticality safety, reactor physics, radiation shielding, radioactive source term characterization, and sensitivity and uncertainty analysis. Since 1980, regulators, licensees, and research institutions around the world have used SCALE for safety analysis and design. SCALE provides an integrated framework with dozens of computational modules including 3 deterministic and 3 Monte Carlomore » radiation transport solvers that are selected based on the desired solution strategy. SCALE includes current nuclear data libraries and problem-dependent processing tools for continuous-energy (CE) and multigroup (MG) neutronics and coupled neutron-gamma calculations, as well as activation, depletion, and decay calculations. SCALE includes unique capabilities for automated variance reduction for shielding calculations, as well as sensitivity and uncertainty analysis. SCALE’s graphical user interfaces assist with accurate system modeling, visualization of nuclear data, and convenient access to desired results. SCALE 6.2 represents one of the most comprehensive revisions in the history of SCALE, providing several new capabilities and significant improvements in many existing features.« less
Data management in clinical research: Synthesizing stakeholder perspectives.
Johnson, Stephen B; Farach, Frank J; Pelphrey, Kevin; Rozenblit, Leon
2016-04-01
This study assesses data management needs in clinical research from the perspectives of researchers, software analysts and developers. This is a mixed-methods study that employs sublanguage analysis in an innovative manner to link the assessments. We performed content analysis using sublanguage theory on transcribed interviews conducted with researchers at four universities. A business analyst independently extracted potential software features from the transcriptions, which were translated into the sublanguage. This common sublanguage was then used to create survey questions for researchers, analysts and developers about the desirability and difficulty of features. Results were synthesized using the common sublanguage to compare stakeholder perceptions with the original content analysis. Individual researchers exhibited significant diversity of perspectives that did not correlate by role or site. Researchers had mixed feelings about their technologies, and sought improvements in integration, interoperability and interaction as well as engaging with study participants. Researchers and analysts agreed that data integration has higher desirability and mobile technology has lower desirability but disagreed on the desirability of data validation rules. Developers agreed that data integration and validation are the most difficult to implement. Researchers perceive tasks related to study execution, analysis and quality control as highly strategic, in contrast with tactical tasks related to data manipulation. Researchers have only partial technologic support for analysis and quality control, and poor support for study execution. Software for data integration and validation appears critical to support clinical research, but may be expensive to implement. Features to support study workflow, collaboration and engagement have been underappreciated, but may prove to be easy successes. Software developers should consider the strategic goals of researchers with regard to the overall coordination of research projects and teams, workflow connecting data collection with analysis and processes for improving data quality. Copyright © 2016 Elsevier Inc. All rights reserved.
CMOS Active-Pixel Image Sensor With Simple Floating Gates
NASA Technical Reports Server (NTRS)
Fossum, Eric R.; Nakamura, Junichi; Kemeny, Sabrina E.
1996-01-01
Experimental complementary metal-oxide/semiconductor (CMOS) active-pixel image sensor integrated circuit features simple floating-gate structure, with metal-oxide/semiconductor field-effect transistor (MOSFET) as active circuit element in each pixel. Provides flexibility of readout modes, no kTC noise, and relatively simple structure suitable for high-density arrays. Features desirable for "smart sensor" applications.
International Continence Society guidelines on urodynamic equipment performance.
Gammie, Andrew; Clarkson, Becky; Constantinou, Chris; Damaser, Margot; Drinnan, Michael; Geleijnse, Geert; Griffiths, Derek; Rosier, Peter; Schäfer, Werner; Van Mastrigt, Ron
2014-04-01
These guidelines provide benchmarks for the performance of urodynamic equipment, and have been developed by the International Continence Society to assist purchasing decisions, design requirements, and performance checks. The guidelines suggest ranges of specification for uroflowmetry, volume, pressure, and EMG measurement, along with recommendations for user interfaces and performance tests. Factors affecting measurement relating to the different technologies used are also described. Summary tables of essential and desirable features are included for ease of reference. It is emphasized that these guidelines can only contribute to good urodynamics if equipment is used properly, in accordance with good practice. © 2014 Wiley Periodicals, Inc.
Can fetishism occur in transsexuals?
Buhrich, N; McConaghy, N
1977-05-01
The literature concerning the relationships between transsexualism and transvestism and their association with fetishism is reviewed. Sexual activity, including sexual arousal to women's clothes, is frequently reported in histories of transsexuals. Characteristics are reported of 12 male subjects who have shown sexual arousal to women's clothes and who have a sustained cross-gender identity combined with a desire for a change-of-sex operation. Diagnostic categories alternative to transsexualism for subjects who cross-dress are inadequate to classify at least some of the 12 subjects reported. Restricting the definition of transsexualism so as to exclude those who have shown fetishistic features is considered premature.
Advances in Tourette syndrome: diagnoses and treatment.
Serajee, Fatema J; Mahbubul Huq, A H M
2015-06-01
Tourette syndrome (TS) is a childhood-onset neurodevelopmental disorder characterized by multiple motor tics and at least one vocal or phonic tic, and often one or more comorbid psychiatric disorders. Premonitory sensory urges before tic execution and desire for "just-right" perception are central features. The pathophysiology involves cortico-striato-thalamo-cortical circuits and possibly dopaminergic system. TS is considered a genetic disorder but the genetics is complex and likely involves rare mutations, common variants, and environmental and epigenetic factors. Treatment is multimodal and includes education and reassurance, behavioral interventions, pharmacologic, and rarely, surgical interventions. Copyright © 2015 Elsevier Inc. All rights reserved.
A visualization environment for supercomputing-based applications in computational mechanics
DOE Office of Scientific and Technical Information (OSTI.GOV)
Pavlakos, C.J.; Schoof, L.A.; Mareda, J.F.
1993-06-01
In this paper, we characterize a visualization environment that has been designed and prototyped for a large community of scientists and engineers, with an emphasis in superconducting-based computational mechanics. The proposed environment makes use of a visualization server concept to provide effective, interactive visualization to the user`s desktop. Benefits of using the visualization server approach are discussed. Some thoughts regarding desirable features for visualization server hardware architectures are also addressed. A brief discussion of the software environment is included. The paper concludes by summarizing certain observations which we have made regarding the implementation of such visualization environments.
Searching for patterns in remote sensing image databases using neural networks
NASA Technical Reports Server (NTRS)
Paola, Justin D.; Schowengerdt, Robert A.
1995-01-01
We have investigated a method, based on a successful neural network multispectral image classification system, of searching for single patterns in remote sensing databases. While defining the pattern to search for and the feature to be used for that search (spectral, spatial, temporal, etc.) is challenging, a more difficult task is selecting competing patterns to train against the desired pattern. Schemes for competing pattern selection, including random selection and human interpreted selection, are discussed in the context of an example detection of dense urban areas in Landsat Thematic Mapper imagery. When applying the search to multiple images, a simple normalization method can alleviate the problem of inconsistent image calibration. Another potential problem, that of highly compressed data, was found to have a minimal effect on the ability to detect the desired pattern. The neural network algorithm has been implemented using the PVM (Parallel Virtual Machine) library and nearly-optimal speedups have been obtained that help alleviate the long process of searching through imagery.
Systematic Review of Factors Associated with Antibiotic Prescribing for Respiratory Tract Infections
Mah, Allison; McGrail, Kimberlyn; Patrick, David M.
2016-01-01
Antibiotic use is a modifiable driver of antibiotic resistance. In many circumstances, antibiotic use is overly broad or unnecessary. We systematically assessed factors associated with antibiotic prescribing for respiratory tract infections (RTI). Studies were included if they used actual (not self-reported or intended) prescribing data, assessed factors associated with antibiotic prescribing for RTIs, and performed multivariable analysis of associations. We searched Medline, Embase, and International Pharmaceutical Abstracts using keyword and MeSH (medical subject headings) search terms. Two authors reviewed each abstract and independently appraised all included texts. Data on factors affecting antibiotic prescribing were extracted. Our searches retrieved a total of 2,848 abstracts, with 97 included in full-text review and 28 meeting full inclusion criteria. Compared to other factors, diagnosis of acute bronchitis was associated with increased antibiotic prescribing (range of adjusted odds ratios [aOR], 1.56 to 15.9). Features on physical exam, such as fever, purulent sputum, abnormal respiratory exam, and tonsillar exudate, were also associated with higher odds of antibiotic prescribing. Patient desire for an antibiotic was not associated or was modestly associated with prescription (range of aORs, 0.61 to 9.87), in contrast to physician perception of patient desire for antibiotics, which showed a stronger association (range of aORs, 2.11 to 23.3). Physician's perception of patient desire for antibiotics was strongly associated with antibiotic prescribing. Antimicrobial stewardship programs should continue to expand in the outpatient setting and should emphasize clear and direct communication between patients and physicians, as well as signs and symptoms that do and do not predict bacterial etiology of upper respiratory tract infections. PMID:27139474
Gallagher, Jennifer E; Patel, Resmi; Donaldson, Nora; Wilson, Nairn HF
2007-01-01
Background Dental graduates are joining a profession experiencing changes in systems of care, funding and skill mix. Research into the motivation and expectations of the emerging workforce is vital to inform professional and policy decisions. The objective of this research was to investigate final year dental students' perceived motivation for their choice of career in relation to sex, ethnicity and mode of entry. Methods Self-administered questionnaire survey of all final year dental students at King's College London. Data were entered into SPSS; statistical analysis included Chi Squared tests for linear association, multiple regression, factor analysis and logistic regression. Results A response of 90% (n = 126) was achieved. The majority were aged 23 years (59%), female (58%) and Asian (70%). One in 10 were mature students. Eighty per cent identified 11 or more 'important' or 'very important' influences, the most common of which were related to features of the job: 'regular working hours' (91%), 'degree leading to recognised job' (90%) and 'job security' (90%). There were significant differences in important influences by sex (males > females: 'able to run own business'; females > males: 'a desire to work with people'), ethnic group (Asians > white: 'wish to provide public service', 'influence of friends', 'desire to work in healthcare', having 'tried an alternative career/course' and 'work experience') and mode of entry (mature > early entry: 'a desire to work with people'). Multivariate analysis suggested 61% of the variation in influences is explained by five factors: the 'professional job' (31%), 'healthcare-people' (11%), 'academic-scientific' (8%), 'careers-advising' (6%), and 'family/friends' (6%). The single major influence on choice of career was a 'desire to work with people'; Indian students were twice as likely to report this as white or other ethnic groups. Conclusion Final year dental students report a wide range of important influences on their choice of dentistry, with variation by sex, ethnicity and mode of entry in relation to individual influences. Features of the 'professional job', followed by 'healthcare and people' were the most important underlying factors influencing choice of career. PMID:17573967
Stewart, Arthur D; Benson, Philip J; Michanikou, Evangelia G; Tsiota, Dimitra G; Narli, Margarita K
2003-10-01
Thirty-six adults (24 males, 12 females) were assessed for anthropometric somatotype and body image (perception and satisfaction) by a novel technique using quantitative distortion of a digital still image. Software produced random distortions in nine body regions. The participants manipulated interactive slider controls to adjust each body feature in turn, recreate their perceived image and indicate their desired image. There were no differences in perception between the sexes. However, the ideal-actual differences (i.e. satisfaction) indicated that males desired larger and females smaller features, respectively, in the chest and thighs (P < 0.001) and arms and calves (P < 0.01). When the male-derived data were partitioned by sport (strength, endurance, team-sport and controls), differences were found in the perceived image size in the chest and rib regions (P < 0.01 and P < 0.05, respectively). Strength athletes perceived these areas to be smaller and the control group perceived these areas to be larger than the true values. Somatotype analysis indicated that the physique associated with minimal dissatisfaction was 2.0-5.0-3.0 for males and 3.0-2.5-3.0 for females. Cluster analysis, combining anthropometric and satisfaction data, revealed seven distinct subgroups distinguished by particular attributes of physical appearance. We conclude that the method is reliable and that body image includes sex-specific, anthropometric, perceptual and personality-related components.
NASA Technical Reports Server (NTRS)
Nakai, Junko; VanDerWijngaart, Rob F.
2003-01-01
Markets are often considered superior to other global scheduling mechanisms for distributed computing systems. This claim is supported by: a casual observation from our every-day life that markets successfully equilibrate supply and demand, and the features of markets which originate in the general equilibrium theory, e.g., efficiency and the lack of necessity of 2 central controller. This paper describes why such beliefs in markets are not warranted. It does so by examining the general equilibrium theory, in terms of scope, abstraction, and interpretation. Not only does the general equilibrium theory fail to provide a satisfactory explanation of actual economies, including a computing-resource economy, it also falls short of supplying theoretical foundations for commonly held views of market desirability. This paper also points out that the argument for the desirability of markets involves circular reasoning and that the desirability can be established only vis-a-vis a scheduling goal. Finally, recasting the conclusion of Arrow's Impossibility Theorem as that for global scheduling, we conclude that there exists no market-based scheduler that is rational (in the sense defined in microeconomic theory), takes into account utility of more than one user, and yet yields a Pareto-optimal outcome for arbitrary user utility functions.
... Cancer Featured Resource Find an Endocrinologist Search Decreased Libido Editors Bradley Anawalt, MD Maria Yialamas, MD Additional Resources: Mayo Clinic NIDDK MedlinePlus What is libido? Libido is the desire to engage in sexual ...
Radiography by selective detection of scatter field velocity components
NASA Technical Reports Server (NTRS)
Dugan, Edward T. (Inventor); Jacobs, Alan M. (Inventor); Shedlock, Daniel (Inventor)
2007-01-01
A reconfigurable collimated radiation detector, system and related method includes at least one collimated radiation detector. The detector has an adjustable collimator assembly including at least one feature, such as a fin, optically coupled thereto. Adjustments to the adjustable collimator selects particular directions of travel of scattered radiation emitted from an irradiated object which reach the detector. The collimated detector is preferably a collimated detector array, where the collimators are independently adjustable. The independent motion capability provides the capability to focus the image by selection of the desired scatter field components. When an array of reconfigurable collimated detectors is provided, separate image data can be obtained from each of the detectors and the respective images cross-correlated and combined to form an enhanced image.
A virtual microscope for academic medical education: the pate project.
Brochhausen, Christoph; Winther, Hinrich B; Hundt, Christian; Schmitt, Volker H; Schömer, Elmar; Kirkpatrick, C James
2015-05-11
Whole-slide imaging (WSI) has become more prominent and continues to gain in importance in student teaching. Applications with different scope have been developed. Many of these applications have either technical or design shortcomings. To design a survey to determine student expectations of WSI applications for teaching histological and pathological diagnosis. To develop a new WSI application based on the findings of the survey. A total of 216 students were questioned about their experiences and expectations of WSI applications, as well as favorable and undesired features. The survey included 14 multiple choice and two essay questions. Based on the survey, we developed a new WSI application called Pate utilizing open source technologies. The survey sample included 216 students-62.0% (134) women and 36.1% (78) men. Out of 216 students, 4 (1.9%) did not disclose their gender. The best-known preexisting WSI applications included Mainzer Histo Maps (199/216, 92.1%), Histoweb Tübingen (16/216, 7.4%), and Histonet Ulm (8/216, 3.7%). Desired features for the students were latitude in the slides (190/216, 88.0%), histological (191/216, 88.4%) and pathological (186/216, 86.1%) annotations, points of interest (181/216, 83.8%), background information (146/216, 67.6%), and auxiliary informational texts (113/216, 52.3%). By contrast, a discussion forum was far less important (9/216, 4.2%) for the students. The survey revealed that the students appreciate a rich feature set, including WSI functionality, points of interest, auxiliary informational texts, and annotations. The development of Pate was significantly influenced by the findings of the survey. Although Pate currently has some issues with the Zoomify file format, it could be shown that Web technologies are capable of providing a high-performance WSI experience, as well as a rich feature set.
DSouza, Alisha V.; Lin, Huiyun; Henderson, Eric R.; Samkoe, Kimberley S.; Pogue, Brian W.
2016-01-01
Abstract. There is growing interest in using fluorescence imaging instruments to guide surgery, and the leading options for open-field imaging are reviewed here. While the clinical fluorescence-guided surgery (FGS) field has been focused predominantly on indocyanine green (ICG) imaging, there is accelerated development of more specific molecular tracers. These agents should help advance new indications for which FGS presents a paradigm shift in how molecular information is provided for resection decisions. There has been a steady growth in commercially marketed FGS systems, each with their own differentiated performance characteristics and specifications. A set of desirable criteria is presented to guide the evaluation of instruments, including: (i) real-time overlay of white-light and fluorescence images, (ii) operation within ambient room lighting, (iii) nanomolar-level sensitivity, (iv) quantitative capabilities, (v) simultaneous multiple fluorophore imaging, and (vi) ergonomic utility for open surgery. In this review, United States Food and Drug Administration 510(k) cleared commercial systems and some leading premarket FGS research systems were evaluated to illustrate the continual increase in this performance feature base. Generally, the systems designed for ICG-only imaging have sufficient sensitivity to ICG, but a fraction of the other desired features listed above, with both lower sensitivity and dynamic range. In comparison, the emerging research systems targeted for use with molecular agents have unique capabilities that will be essential for successful clinical imaging studies with low-concentration agents or where superior rejection of ambient light is needed. There is no perfect imaging system, but the feature differences among them are important differentiators in their utility, as outlined in the data and tables here. PMID:27533438
NASA Astrophysics Data System (ADS)
DSouza, Alisha V.; Lin, Huiyun; Henderson, Eric R.; Samkoe, Kimberley S.; Pogue, Brian W.
2016-08-01
There is growing interest in using fluorescence imaging instruments to guide surgery, and the leading options for open-field imaging are reviewed here. While the clinical fluorescence-guided surgery (FGS) field has been focused predominantly on indocyanine green (ICG) imaging, there is accelerated development of more specific molecular tracers. These agents should help advance new indications for which FGS presents a paradigm shift in how molecular information is provided for resection decisions. There has been a steady growth in commercially marketed FGS systems, each with their own differentiated performance characteristics and specifications. A set of desirable criteria is presented to guide the evaluation of instruments, including: (i) real-time overlay of white-light and fluorescence images, (ii) operation within ambient room lighting, (iii) nanomolar-level sensitivity, (iv) quantitative capabilities, (v) simultaneous multiple fluorophore imaging, and (vi) ergonomic utility for open surgery. In this review, United States Food and Drug Administration 510(k) cleared commercial systems and some leading premarket FGS research systems were evaluated to illustrate the continual increase in this performance feature base. Generally, the systems designed for ICG-only imaging have sufficient sensitivity to ICG, but a fraction of the other desired features listed above, with both lower sensitivity and dynamic range. In comparison, the emerging research systems targeted for use with molecular agents have unique capabilities that will be essential for successful clinical imaging studies with low-concentration agents or where superior rejection of ambient light is needed. There is no perfect imaging system, but the feature differences among them are important differentiators in their utility, as outlined in the data and tables here.
Zhang, Jian; Gao, Bo; Chai, Haiting; Ma, Zhiqiang; Yang, Guifu
2016-08-26
DNA-binding proteins (DBPs) play fundamental roles in many biological processes. Therefore, the developing of effective computational tools for identifying DBPs is becoming highly desirable. In this study, we proposed an accurate method for the prediction of DBPs. Firstly, we focused on the challenge of improving DBP prediction accuracy with information solely from the sequence. Secondly, we used multiple informative features to encode the protein. These features included evolutionary conservation profile, secondary structure motifs, and physicochemical properties. Thirdly, we introduced a novel improved Binary Firefly Algorithm (BFA) to remove redundant or noisy features as well as select optimal parameters for the classifier. The experimental results of our predictor on two benchmark datasets outperformed many state-of-the-art predictors, which revealed the effectiveness of our method. The promising prediction performance on a new-compiled independent testing dataset from PDB and a large-scale dataset from UniProt proved the good generalization ability of our method. In addition, the BFA forged in this research would be of great potential in practical applications in optimization fields, especially in feature selection problems. A highly accurate method was proposed for the identification of DBPs. A user-friendly web-server named iDbP (identification of DNA-binding Proteins) was constructed and provided for academic use.
Falling in love with romantic ideals: women in relationships with child molesters.
McLaren, Helen
2016-01-01
Drawing on data from a larger research study, this paper explores intersecting and competing social relations that influenced the romantic desires of women who became intimately involved with men who molested children. Through a feminist poststructuralist lens, women's narratives were analysed with the use of feminist interpretations of Foucauldian discourse theory. Analysis informed of a discursive power over participants that made the attainment of romantic desires an imperative for ensuring social respect, worth and credibility as women. When all was not ideal, these same romantic desires compelled women to fix and hold onto their relationships--even when with men that attract damning societal responses towards them. Even upon acknowledgement of their partners' sexual transgressions, the fear of relationship breakdown meant that romantic desires again featured as imperatives for the women. The imagined pleasure of achieving romantic desires is discursive; so powerful that it outweighed women's fears and dangers of precarious intimate life with men who commit abhorrent acts.
Mask manufacturing of advanced technology designs using multi-beam lithography (Part 1)
NASA Astrophysics Data System (ADS)
Green, Michael; Ham, Young; Dillon, Brian; Kasprowicz, Bryan; Hur, Ik Boum; Park, Joong Hee; Choi, Yohan; McMurran, Jeff; Kamberian, Henry; Chalom, Daniel; Klikovits, Jan; Jurkovic, Michal; Hudek, Peter
2016-10-01
As optical lithography is extended into 10nm and below nodes, advanced designs are becoming a key challenge for mask manufacturers. Techniques including advanced Optical Proximity Correction (OPC) and Inverse Lithography Technology (ILT) result in structures that pose a range of issues across the mask manufacturing process. Among the new challenges are continued shrinking Sub-Resolution Assist Features (SRAFs), curvilinear SRAFs, and other complex mask geometries that are counter-intuitive relative to the desired wafer pattern. Considerable capability improvements over current mask making methods are necessary to meet the new requirements particularly regarding minimum feature resolution and pattern fidelity. Advanced processes using the IMS Multi-beam Mask Writer (MBMW) are feasible solutions to these coming challenges. In this paper, we study one such process, characterizing mask manufacturing capability of 10nm and below structures with particular focus on minimum resolution and pattern fidelity.
The feasibility of remote-controlled assistance as a search tool for patient education.
Lin, I K; Bray, B E; Smith, J A; Lange, L L
2001-01-01
Patients often desire more information about their conditions than they receive during a physician office visit. To address the patient's information needs, a touchscreen information kiosk was implemented. Results from the first prototype identified interface, security, and technical issues. Misspelling of search terms was identified as the most observable cause of search failure. An experimental remote control assistance feature was added in the second prototype. The feature allowed a medical librarian to provide real-time remote help during searches by taking control of the patient's computer. Remote assistance improved patient satisfaction, increased ease of use, and raised document retrieval rate (86.7% vs. 56.7%). Both patients and librarians found the application useful. Reasons included its convenience and flexibility, opportunity for direct patient contact, ability to teach through direct demonstration, and complementing the librarian's role as an information gateway. The project demonstrated the feasibility of applying remote control technology to patient education.
Persuasive Reminders for Health Self-Management
O’Leary, Katie; Liu, Leslie; McClure, Jennifer B.; Ralston, James; Pratt, Wanda
2016-01-01
Abstract Health reminders are integral to self-managing chronic illness. However, to act on these health reminders, patients face many challenges, such as lack of motivation and ability to perform health tasks. As a result, patients experience negative consequences for their health. To investigate the design of health reminders that persuade patients to take action, we conducted six participatory design sessions with two cohorts: mothers of children with asthma, and older adults with type 2 diabetes. Participants used collages, storyboards, and photos to express design ideas for future health reminder systems. From their design artifacts, we identified four types of persuasive reminders for health self-management: introspective, socially supportive, adaptive, and symbolic. We contribute insights into desired features for persuasive reminder systems from the perspectives of patients and informal caregivers, including features that support users to understand why and how to complete health tasks ahead of time, and affordances for intra-familial and patient-provider collaboration. PMID:28269896
Kim, Seok; Wu, Jian; Carlson, Andrew; Jin, Sung Hun; Kovalsky, Anton; Glass, Paul; Liu, Zhuangjian; Ahmed, Numair; Elgan, Steven L.; Chen, Weiqiu; Ferreira, Placid M.; Sitti, Metin; Huang, Yonggang; Rogers, John A.
2010-01-01
Reversible control of adhesion is an important feature of many desired, existing, and potential systems, including climbing robots, medical tapes, and stamps for transfer printing. We present experimental and theoretical studies of pressure modulated adhesion between flat, stiff objects and elastomeric surfaces with sharp features of surface relief in optimized geometries. Here, the strength of nonspecific adhesion can be switched by more than three orders of magnitude, from strong to weak, in a reversible fashion. Implementing these concepts in advanced stamps for transfer printing enables versatile modes for deterministic assembly of solid materials in micro/nanostructured forms. Demonstrations in printed two- and three-dimensional collections of silicon platelets and membranes illustrate some capabilities. An unusual type of transistor that incorporates a printed gate electrode, an air gap dielectric, and an aligned array of single walled carbon nanotubes provides a device example. PMID:20858729
Solid-State Sensor and Actuator Workshop Held in Hilton Head Island, South Carolina on 4-7 June 1990
1990-01-01
resonator was measured. It is shown in Figure 2. The text by Ferry gives very lucid discussions of the salient feature of the curves is that the width... features near 140 MHz. This is expected: the Synthesized SH-APM has displacement components on both faces of the quartz plate and, in this particular case...struc- [2 + F3 tural dimensions are highly desired features in micro- machined solid-state sensors, an understanding of damping WHERE caused by
Wang, Jie; Lv, Yanlin; Wan, Wei; Wang, Xuefei; Li, Alexander D Q; Tian, Zhiyuan
2016-02-01
As a very sensitive technique, photoswitchable fluorescence not only gains ultrasensitivity but also imparts many novel and unexpected applications. Applications of near-infrared (NIR) fluorescence have demonstrated low background noises, high tissue-penetrating ability, and an ability to reduce photodamage to live cells. Because of these desired features, NIR-fluorescent dyes have been the premium among fluorescent dyes, and probes with photoswitchable NIR fluorescence are even more desirable for enhanced signal quality in the emerging optical imaging modalities but rarely used because they are extremely challenging to design and construct. Using a spiropyran derivative functioning as both a photoswitch and a fluorophore to launch its periodically modulated red fluorescence excitation energy into a NIR acceptor, we fabricated core-shell polymer nanoparticles exhibiting a photoswitchable fluorescence signal within the biological window (∼700-1000 nm) with a peak maximum of 776 nm. Live cells constantly synthesize new molecules, including fluorescent molecules, and also endocytose exogenous particles, including fluorescent particles. Upon excitation at different wavelengths, these fluorescent species bring about background noises and interferences covering nearly the whole visible region and therefore render many intracellular targets unaddressable. The oscillating NIR fluorescence signal with an on/off ratio of up to 67 that the polymer nanoparticles display is beyond the typical background noises and interferences, thus producing superior sharpness, reliability, and signal-to-noise ratios in cellular imaging. Taking these salient features, we anticipate that these types of nanoparticles will be useful for in vivo imaging of biological tissue and other complex specimens, where two-photon activation and excitation are used in combination with NIR-fluorescence photoswitching.
Clinical features of pedophilia and implications for treatment.
Cohen, Lisa J; Galynker, Igor I
2002-09-01
The authors discuss the diagnostic criteria for pedophilia and review the literature on its clinical features, including data on prevalence, gender, age of onset, number of victims, frequency and type of acts, violence, impulsivity, and insight. Findings concerning the characteristics of victims (e.g., sex, age, relationship to the pedophile) and research on pedophilic subtypes-exclusive versus nonexclusive; incestuous versus nonincestuous; heterosexual, homosexual, or bisexual-are reviewed. Studies have shown that pedophiles may share many psychiatric features beyond deviant sexual desire, including high rates of comorbid axis I disorders (affective disorders, substance use disorders, impulse control disorders, other paraphilias) as well as severe axis II psychopathology (especially antisocial and Cluster C personality disorders). The authors present several possible etiological models for pedophilia and conclude that further research is needed concerning the etiological role of a childhood history of sexual abuse as well as the underlying neurobiology of deviant sexual arousal and decreased erotic differentiation. Finally, findings concerning pharmacological and cognitive-behavioral treatments for pedophilia are briefly reviewed. Recidivism, drop-out, and noncompliance are significant problems in the treatment of pedophilia. The authors review predictors of treatment outcome and conclude that pedophilia is extremely difficult to treat and that effective treatment needs to be intensive, long-term, and comprehensive, possibly with lifetime follow-up.
ARINC 818 express for high-speed avionics video and power over coax
NASA Astrophysics Data System (ADS)
Keller, Tim; Alexander, Jon
2012-06-01
CoaXPress is a new standard for high-speed video over coax cabling developed for the machine vision industry. CoaXPress includes both a physical layer and a video protocol. The physical layer has desirable features for aerospace and defense applications: it allows 3Gbps (up to 6Gbps) communication, includes 21Mbps return path allowing for bidirectional communication, and provides up to 13W of power, all over a single coax connection. ARINC 818, titled "Avionics Digital Video Bus" is a protocol standard developed specifically for high speed, mission critical aerospace video systems. ARINC 818 is being widely adopted for new military and commercial display and sensor applications. The ARINC 818 protocol combined with the CoaXPress physical layer provide desirable characteristics for many aerospace systems. This paper presents the results of a technology demonstration program to marry the physical layer from CoaXPress with the ARINC 818 protocol. ARINC 818 is a protocol, not a physical layer. Typically, ARINC 818 is implemented over fiber or copper for speeds of 1 to 2Gbps, but beyond 2Gbps, it has been implemented exclusively over fiber optic links. In many rugged applications, a copper interface is still desired, by implementing ARINC 818 over the CoaXPress physical layer, it provides a path to 3 and 6 Gbps copper interfaces for ARINC 818. Results of the successful technology demonstration dubbed ARINC 818 Express are presented showing 3Gbps communication while powering a remote module over a single coax cable. The paper concludes with suggested next steps for bring this technology to production readiness.
The development of the advanced cryogenic radiometer facility at NRC
NASA Astrophysics Data System (ADS)
Gamouras, A.; Todd, A. D. W.; Côté, É.; Rowell, N. L.
2018-02-01
The National Research Council (NRC) of Canada has established a next generation facility for the primary realization of optical radiant power. The main feature of this facility is a new cryogenic electrical substitution radiometer with a closed-cycle helium cryocooler. A monochromator-based approach allows for detector calibrations at any desired wavelength. A custom-designed motion apparatus includes two transfer standard radiometer mounting ports which has increased our measurement capability by allowing the calibration of two photodetectors in one measurement cycle. Measurement uncertainties have been improved through several upgrades, including newly designed and constructed transimpedance amplifiers for the transfer standard radiometers, and a higher power broadband light source. The most significant improvements in uncertainty arise from the enhanced characteristics of the new cryogenic radiometer including its higher cavity absorptance and reduced non-equivalence effects.
Current management of male-to-female gender identity disorder in the UK.
Tugnet, Nicola; Goddard, Jonathan Charles; Vickery, Richard M; Khoosal, Deenesh; Terry, Tim R
2007-10-01
Gender identity disorder (GID), or transsexualism as it is more commonly known, is a highly complex clinical entity. Although the exact aetiology of GID is unknown, several environmental, genetic and anatomical theories have been described. The diagnosis of GID can be a difficult process but is established currently using standards of care as defined by the Harry Benjamin International Gender Dysphoria Association. Patients go through extensive psychiatric assessment, including the Real Life Experience, which entails living in the desired gender role 24 h a day for a minimum period of 12 months. The majority of GID patients will eventually go on to have gender realignment surgery, which includes feminising genitoplasty. The clinical features, diagnostic approach and management of male-to-female GID in the UK are reviewed, including the behavioural, psychological and surgical aspects.
Roos-Blom, Marie-José; Gude, Wouter T; de Jonge, Evert; Spijkstra, Jan Jaap; van der Veer, Sabine N; Dongelmans, Dave A; de Keizer, Nicolette F
2017-01-01
Audit and feedback (A&F) is a common strategy to improve quality of care. Meta-analyses have indicated that A&F may be more effective in realizing desired change when baseline performance is low, it is delivered by a supervisor or colleague, it is provided frequently and in a timely manner, it is delivered in both verbal and written formats, and it includes specific targets and an action plan. However, there is little information to guide operationalization of these factors. Researchers have consequently called for A&F interventions featuring well-described and carefully justified components, with their theoretical rationale made explicit. This paper describes the rationale and development of a quality dashboard including an improvement toolbox for four previous developed pain indicators, guided by Control Theory.
Current management of male‐to‐female gender identity disorder in the UK
Tugnet, Nicola; Goddard, Jonathan Charles; Vickery, Richard M; Khoosal, Deenesh; Terry, Tim R
2007-01-01
Gender identity disorder (GID), or transsexualism as it is more commonly known, is a highly complex clinical entity. Although the exact aetiology of GID is unknown, several environmental, genetic and anatomical theories have been described. The diagnosis of GID can be a difficult process but is established currently using standards of care as defined by the Harry Benjamin International Gender Dysphoria Association. Patients go through extensive psychiatric assessment, including the Real Life Experience, which entails living in the desired gender role 24 h a day for a minimum period of 12 months. The majority of GID patients will eventually go on to have gender realignment surgery, which includes feminising genitoplasty. The clinical features, diagnostic approach and management of male‐to‐female GID in the UK are reviewed, including the behavioural, psychological and surgical aspects. PMID:17916872
Genoviz Software Development Kit: Java tool kit for building genomics visualization applications.
Helt, Gregg A; Nicol, John W; Erwin, Ed; Blossom, Eric; Blanchard, Steven G; Chervitz, Stephen A; Harmon, Cyrus; Loraine, Ann E
2009-08-25
Visualization software can expose previously undiscovered patterns in genomic data and advance biological science. The Genoviz Software Development Kit (SDK) is an open source, Java-based framework designed for rapid assembly of visualization software applications for genomics. The Genoviz SDK framework provides a mechanism for incorporating adaptive, dynamic zooming into applications, a desirable feature of genome viewers. Visualization capabilities of the Genoviz SDK include automated layout of features along genetic or genomic axes; support for user interactions with graphical elements (Glyphs) in a map; a variety of Glyph sub-classes that promote experimentation with new ways of representing data in graphical formats; and support for adaptive, semantic zooming, whereby objects change their appearance depending on zoom level and zooming rate adapts to the current scale. Freely available demonstration and production quality applications, including the Integrated Genome Browser, illustrate Genoviz SDK capabilities. Separation between graphics components and genomic data models makes it easy for developers to add visualization capability to pre-existing applications or build new applications using third-party data models. Source code, documentation, sample applications, and tutorials are available at http://genoviz.sourceforge.net/.
Micropores and methods of making and using thereof
Perroud, Thomas D.; Patel, Kamlesh D.; Meagher, Robert J.
2016-08-02
Disclosed herein are methods of making micropores of a desired height and/or width between two isotropic wet etched features in a substrate which comprises single-level isotropic wet etching the two features using an etchant and a mask distance that is less than 2.times. a set etch depth. Also disclosed herein are methods using the micropores and microfluidic devices comprising the micropores.
Diagnosis of multiple sclerosis from EEG signals using nonlinear methods.
Torabi, Ali; Daliri, Mohammad Reza; Sabzposhan, Seyyed Hojjat
2017-12-01
EEG signals have essential and important information about the brain and neural diseases. The main purpose of this study is classifying two groups of healthy volunteers and Multiple Sclerosis (MS) patients using nonlinear features of EEG signals while performing cognitive tasks. EEG signals were recorded when users were doing two different attentional tasks. One of the tasks was based on detecting a desired change in color luminance and the other task was based on detecting a desired change in direction of motion. EEG signals were analyzed in two ways: EEG signals analysis without rhythms decomposition and EEG sub-bands analysis. After recording and preprocessing, time delay embedding method was used for state space reconstruction; embedding parameters were determined for original signals and their sub-bands. Afterwards nonlinear methods were used in feature extraction phase. To reduce the feature dimension, scalar feature selections were done by using T-test and Bhattacharyya criteria. Then, the data were classified using linear support vector machines (SVM) and k-nearest neighbor (KNN) method. The best combination of the criteria and classifiers was determined for each task by comparing performances. For both tasks, the best results were achieved by using T-test criterion and SVM classifier. For the direction-based and the color-luminance-based tasks, maximum classification performances were 93.08 and 79.79% respectively which were reached by using optimal set of features. Our results show that the nonlinear dynamic features of EEG signals seem to be useful and effective in MS diseases diagnosis.
NASA Technical Reports Server (NTRS)
Bachtell, E. E.; Thiemet, W. F.; Morosow, G.
1987-01-01
To demonstrate the design and integration of a reflective mesh surface to a deployable truss structure, a mesh reflector was installed on a 15 foot box truss cube. The specific features demonstrated include: (1) sewing seams in reflective mesh; (2) mesh stretching to desired preload; (3) installation of surface tie cords; (4) installation of reflective surface on truss; (5) setting of reflective surface; (6) verification of surface shape/accuracy; (7) storage and deployment; (8) repeatability of reflector surface; and (9) comparison of surface with predicted shape using analytical methods developed under a previous task.
First results in terrain mapping for a roving planetary explorer
NASA Technical Reports Server (NTRS)
Krotkov, E.; Caillas, C.; Hebert, M.; Kweon, I. S.; Kanade, Takeo
1989-01-01
To perform planetary exploration without human supervision, a complete autonomous rover must be able to model its environment while exploring its surroundings. Researchers present a new algorithm to construct a geometric terrain representation from a single range image. The form of the representation is an elevation map that includes uncertainty, unknown areas, and local features. By virtue of working in spherical-polar space, the algorithm is independent of the desired map resolution and the orientation of the sensor, unlike other algorithms that work in Cartesian space. They also describe new methods to evaluate regions of the constructed elevation maps to support legged locomotion over rough terrain.
Kaur, Harsimran; Nanda, Aditi; Koli, Dheeraj; Verma, Mahesh; Singh, Hukum; Bishnoi, Ishu; Pathak, Pooja; Gupta, Ankur
2015-06-01
The desired features of a cranioplast include providing an acceptable contour, continuity with the remaining skull (marginal adaptation), improvising the aesthetic outcome, providing a strengthened prosthesis to avoid fracture in case of repeat trauma, and protecting the remaining neurological structures. Combining digital and manual techniques to fabricate a hybrid polymethylmethacrylate cranioplast during the rehabilitation of a pediatric patient with cranial defect has been described. Utilization of digital techniques (rapid prototyping to obtain skull analog) and manual (hand) sculpting of the prosthesis strengthened with glass fiber enabled the authors to fabricate a hybrid cranioplast. Satisfactory outcome was achieved.
Measurement of trace stratospheric constituents with a balloon borne laser radar
NASA Technical Reports Server (NTRS)
Heaps, William S.; Mcgee, Thomas J.
1990-01-01
The objective of this research was to measure the concentration of the stratospheric hydroxyl radical and related chemical species as a function of altitude, season, and time of day. Although hydroxyl plays a very important role in the chemistry controlling stratospheric ozone, little is known about its behavior because it has been a difficult species to measure. The instrument employed in this program was a laser radar, employing the technique of remote laser induced fluorescence. This instrument offers a number of attractive features including extreme specificity and sensitivity, a straightforward relationship between observed quantity and the desired concentration, and immunity to self-contamination.
E-books in Astronomy — If You Buy It Will They Come?
NASA Astrophysics Data System (ADS)
White, M.
2010-10-01
Do astronomers want, need, or use online electronic books? At our large institution astronomers have access to a number of e-books, including monographs provided by various e-book vendors. After a marketing and promotion effort astronomers were surveyed on their use and awareness of the available resources, asking about their likes, dislikes and desirable features. Astronomers were queried about digital rights management (DRM) restrictions; did the ease and immediacy of remote electronic access to the content override the problems presented by DRM? Astronomers showed mixed responses to the e-book format. We need to seek continued user feedback as the Libraries' investment in online books grows.
The common neural bases between sexual desire and love: a multilevel kernel density fMRI analysis.
Cacioppo, Stephanie; Bianchi-Demicheli, Francesco; Frum, Chris; Pfaus, James G; Lewis, James W
2012-04-01
One of the most difficult dilemmas in relationship science and couple therapy concerns the interaction between sexual desire and love. As two mental states of intense longing for union with others, sexual desire and love are, in fact, often difficult to disentangle from one another. The present review aims to help understand the differences and similarities between these two mental states using a comprehensive statistical meta-analyses of all functional magnetic resonance imaging (fMRI) studies on sexual desire and love. Systematic retrospective review of pertinent neuroimaging literature. Review of published literature on fMRI studies illustrating brain regions associated with love and sexual desire to date. Sexual desire and love not only show differences but also recruit a striking common set of brain areas that mediate somatosensory integration, reward expectation, and social cognition. More precisely, a significant posterior-to-anterior insular pattern appears to track sexual desire and love progressively. This specific pattern of activation suggests that love builds upon a neural circuit for emotions and pleasure, adding regions associated with reward expectancy, habit formation, and feature detection. In particular, the shared activation within the insula, with a posterior-to-anterior pattern, from desire to love, suggests that love grows out of and is a more abstract representation of the pleasant sensorimotor experiences that characterize desire. From these results, one may consider desire and love on a spectrum that evolves from integrative representations of affective visceral sensations to an ultimate representation of feelings incorporating mechanisms of reward expectancy and habit learning. © 2012 International Society for Sexual Medicine.
Preparing physics students for careers outside of academia
NASA Astrophysics Data System (ADS)
Redmond, Kendra; Czujko, Roman; Sauncy, Toni
2014-03-01
Most undergraduate physics programs focus on preparing students for physics graduate school, but in reality around 40% of physics bachelor's degree recipients go directly into the workforce. In response to calls for more STEM workers and a desire to see more students of all ambitions benefit from a physics education, the American Institute of Physics has been exploring how physics departments can better prepare their students to enter the STEM workforce after the bachelor's degree, and how students can better prepare themselves to enter the STEM workforce. This poster will include results from this NSF-funded Career Pathways Project, including an overview of common features of departments that successfully prepare students to enter the workforce and a career toolbox we have created for physics students. Work supported by NSF award 1011829.
GLYDE-II: The GLYcan data exchange format
Ranzinger, Rene; Kochut, Krys J.; Miller, John A.; Eavenson, Matthew; Lütteke, Thomas; York, William S.
2017-01-01
Summary The GLYcan Data Exchange (GLYDE) standard has been developed for the representation of the chemical structures of monosaccharides, glycans and glycoconjugates using a connection table formalism formatted in XML. This format allows structures, including those that do not exist in any database, to be unambiguously represented and shared by diverse computational tools. GLYDE implements a partonomy model based on human language along with rules that provide consistent structural representations, including a robust namespace for specifying monosaccharides. This approach facilitates the reuse of data processing software at the level of granularity that is most appropriate for extraction of the desired information. GLYDE-II has already been used as a key element of several glycoinformatics tools. The philosophical and technical underpinnings of GLYDE-II and recent implementation of its enhanced features are described. PMID:28955652
NASA Astrophysics Data System (ADS)
Kahrs, Lueder A.; Blachon, Gregoire S.; Balachandran, Ramya; Fitzpatrick, J. Michael; Labadie, Robert F.
2012-02-01
During endoscopic procedures it is often desirable to determine the distance between anatomical features. One such clinical application is percutaneous cochlear implantation (PCI), which is a minimally invasive approach to the cochlea via a single, straight drill path and can be achieved accurately using bone-implanted markers and customized microstereotactic frame. During clinical studies to validate PCI, traditional open-field cochlear implant surgery was performed and prior to completion of the surgery, a customized microstereotactic frame designed to achieve the desired PCI trajectory was attached to the bone-implanted markers. To determine whether this trajectory would have safely achieved the target, a sham drill bit is passed through the frame to ensure that the drill bit would reach the cochlea without damaging vital structures. Because of limited access within the facial recess, the distances from the bit to anatomical features could not be measured with calipers. We hypothesized that an endoscope mounted on a sliding stage that translates only along the trajectory, would provide sufficient triangulation to accurately measure these distances. In this paper, the design, fabrication, and testing of such a system is described. The endoscope is mounted so that its optical axis is approximately aligned with the trajectory. Several images are acquired as the stage is moved, and threedimensional reconstruction of selected points allows determination of distances. This concept also has applicability in a large variety of rigid endoscopic interventions including bronchoscopy, laparoscopy, and sinus endoscopy.
Zollanvari, Amin; Dougherty, Edward R
2014-06-01
The most important aspect of any classifier is its error rate, because this quantifies its predictive capacity. Thus, the accuracy of error estimation is critical. Error estimation is problematic in small-sample classifier design because the error must be estimated using the same data from which the classifier has been designed. Use of prior knowledge, in the form of a prior distribution on an uncertainty class of feature-label distributions to which the true, but unknown, feature-distribution belongs, can facilitate accurate error estimation (in the mean-square sense) in circumstances where accurate completely model-free error estimation is impossible. This paper provides analytic asymptotically exact finite-sample approximations for various performance metrics of the resulting Bayesian Minimum Mean-Square-Error (MMSE) error estimator in the case of linear discriminant analysis (LDA) in the multivariate Gaussian model. These performance metrics include the first, second, and cross moments of the Bayesian MMSE error estimator with the true error of LDA, and therefore, the Root-Mean-Square (RMS) error of the estimator. We lay down the theoretical groundwork for Kolmogorov double-asymptotics in a Bayesian setting, which enables us to derive asymptotic expressions of the desired performance metrics. From these we produce analytic finite-sample approximations and demonstrate their accuracy via numerical examples. Various examples illustrate the behavior of these approximations and their use in determining the necessary sample size to achieve a desired RMS. The Supplementary Material contains derivations for some equations and added figures.
DD-PREF: a language for expressing preferences over sets
NASA Technical Reports Server (NTRS)
Wagstaff, Kiri; desJardins, Marie
2005-01-01
We present a representation language, DD-PREF (for Diversity and Depth PREFrences), for specifying the desired diversity and depth of sets of objects where each object is represented as a vector of feature values.
Nguyen, Eve; Bugno, Lindsey; Kandah, Cassandra; Plevinsky, Jill; Poulopoulos, Natasha; Wojtowicz, Andrea; Schneider, Kristin L; Greenley, Rachel Neff
2016-11-01
Mobile health medication reminder apps may be a useful supplement to traditional adherence-promotion interventions for pediatric chronic illness populations because they can give real-time reminders and provide education and promote behavior modification (components known to enhance adherence in traditional interventions) in an engaging and developmentally acceptable way. Moreover, apps have the potential to be used by youth and parents, an important consideration given that shared involvement in condition management is associated with better adherence. This study evaluated the content and usability of existing medication reminder apps operating on the Apple platform. Two researchers coded 101 apps on 15 desirable reminder, educational, and behavioral modification features. Usability testing was conducted with the subset of apps (n = 8) that had the greatest number of content features using a validated measure. Apps contained an average of 4.21 of 15 content features, with medication reminder features being more common than either educational or behavioral modification features. Apps most commonly included a medication name storage feature (95%), a time-based reminder feature (87%), and a medication dosage storage feature (68%). Of the eight apps that had the highest number of content features, Mango Health, myRX Planner, and MediSafe evidenced the highest usability ratings. No apps identified were specifically designed for pediatric use. Most apps lacked content known to be useful in traditional pediatric adherence-promotion interventions. Greater attention to educational and behavioral modification features may enhance the usefulness of medication reminder apps for pediatric groups. Collaborations between behavioral medicine providers and app developers may improve the quality of medication reminder apps for use in pediatric populations.
SU-F-R-35: Repeatability of Texture Features in T1- and T2-Weighted MR Images
DOE Office of Scientific and Technical Information (OSTI.GOV)
Mahon, R; Weiss, E; Karki, K
Purpose: To evaluate repeatability of lung tumor texture features from inspiration/expiration MR image pairs for potential use in patient specific care models and applications. Repeatability is a desirable and necessary characteristic of features included in such models. Methods: T1-weighted Volumetric Interpolation Breath-Hold Examination (VIBE) and/or T2-weighted MRI scans were acquired for 15 patients with non-small cell lung cancer before and during radiotherapy for a total of 32 and 34 same session inspiration-expiration breath-hold image pairs respectively. Bias correction was applied to the VIBE (VIBE-BC) and T2-weighted (T2-BC) images. Fifty-nine texture features at five wavelet decomposition ratios were extracted from themore » delineated primary tumor including: histogram(HIST), gray level co-occurrence matrix(GLCM), gray level run length matrix(GLRLM), gray level size zone matrix(GLSZM), and neighborhood gray tone different matrix (NGTDM) based features. Repeatability of the texture features for VIBE, VIBE-BC, T2-weighted, and T2-BC image pairs was evaluated by the concordance correlation coefficient (CCC) between corresponding image pairs, with a value greater than 0.90 indicating repeatability. Results: For the VIBE image pairs, the percentage of repeatable texture features by wavelet ratio was between 20% and 24% of the 59 extracted features; the T2-weighted image pairs exhibited repeatability in the range of 44–49%. The percentage dropped to 10–20% for the VIBE-BC images, and 12–14% for the T2-BC images. In addition, five texture features were found to be repeatable in all four image sets including two GLRLM, two GLZSM, and one NGTDN features. No single texture feature category was repeatable among all three image types; however, certain categories performed more consistently on a per image type basis. Conclusion: We identified repeatable texture features on T1- and T2-weighted MRI scans. These texture features should be further investigated for use in specific applications such as tissue classification and changes during radiation therapy utilizing a standard imaging protocol. Authors have the following disclosures: a research agreement with Philips Medical systems (Hugo, Weiss), a license agreement with Varian Medical Systems (Hugo, Weiss), research grants from the National Institute of Health (Hugo, Weiss), UpToDate royalties (Weiss), and none(Mahon, Ford, Karki). Authors have no potential conflicts of interest to disclose.« less
The development and maintenance of mental toughness: perceptions of elite performers.
Connaughton, Declan; Wadey, Ross; Hanton, Sheldon; Jones, Graham
2008-01-01
Seven participants from a previous study (Jones, Hanton, & Connaughton, 2002) agreed to be interviewed about the development of mental toughness. We also aimed to determine whether mental toughness requires maintenance. Semistructured interviews were conducted to elicit the participants' perceptions of how mental toughness is cultivated and retained. Findings indicated that the development of mental toughness is a long-term process that encompasses a multitude of underlying mechanisms that operate in a combined, rather than independent, fashion. In general, these perceived underlying mechanisms related to many features associated with a motivational climate (e.g. enjoyment, mastery), various individuals (i.e. coaches, peers, parents, grandparents, siblings, senior athletes, sport psychologists, team-mates), experiences in and outside sport, psychological skills and strategies, and an insatiable desire and internalized motives to succeed. It was also reported that once mental toughness had been developed, three perceived underlying mechanisms were required to maintain this construct: a desire and motivation to succeed that was insatiable and internalized, a support network that included sporting and non-sporting personnel, and effective use of basic and advanced psychological skills. Practical implications and future avenues of research are discussed.
Aliabadi, Negar; Carballo-Dieguez, Alex; Bakken, Suzanne; Rojas, Marlene; Brown, William; Carry, Monique; Mosley, Jocelyn Patterson; Gelaude, Deborah; Schnall, Rebecca
2016-01-01
HIV remains a significant public health problem among men who have sex with men (MSM). MSM comprise 2% of the U.S. population, but constitute 56% of persons living with HIV. Mobile health technology is a promising tool for HIV prevention. The purpose of this study was to identify the desired content, features and functions of a mobile application (app) for HIV prevention in high-risk MSM. We conducted five focus group sessions with 33 MSM. Focus group recordings were transcribed and coded using themes informed by the information-motivation-behavioral (IMB) skills model. Participants identified information needs related to HIV prevention: HIV testing and prophylaxis distribution centers, support groups/peers, and HIV/STI disease/treatment information. Areas of motivation to target for the app included: attitudes and intentions. Participants identified behavioral skills to address with an app: using condoms correctly, negotiating safer sex, recognizing signs of HIV/STI. Findings from this work provide insight into the desired content of a mobile app for HIV prevention in high-risk MSM. PMID:26595265
VAX-Gerber node link. Revision 1. 0
DOE Office of Scientific and Technical Information (OSTI.GOV)
Isobe, G.W.
1985-12-01
A communications link between the CADDE VAX 11/750 and the Gerber Photo-Plotter 4135 was desired at LLNL. The process of creating this link is discussed and the features of this project are described. 4 figs.
Designing perturbative metamaterials from discrete models.
Matlack, Kathryn H; Serra-Garcia, Marc; Palermo, Antonio; Huber, Sebastian D; Daraio, Chiara
2018-04-01
Identifying material geometries that lead to metamaterials with desired functionalities presents a challenge for the field. Discrete, or reduced-order, models provide a concise description of complex phenomena, such as negative refraction, or topological surface states; therefore, the combination of geometric building blocks to replicate discrete models presenting the desired features represents a promising approach. However, there is no reliable way to solve such an inverse problem. Here, we introduce 'perturbative metamaterials', a class of metamaterials consisting of weakly interacting unit cells. The weak interaction allows us to associate each element of the discrete model with individual geometric features of the metamaterial, thereby enabling a systematic design process. We demonstrate our approach by designing two-dimensional elastic metamaterials that realize Veselago lenses, zero-dispersion bands and topological surface phonons. While our selected examples are within the mechanical domain, the same design principle can be applied to acoustic, thermal and photonic metamaterials composed of weakly interacting unit cells.
Nano-Engineered Catalysts for Direct Methanol Fuel Cells
NASA Technical Reports Server (NTRS)
Myung, Nosang; Narayanan, Sekharipuram; Wiberg, Dean
2008-01-01
Nano-engineered catalysts, and a method of fabricating them, have been developed in a continuing effort to improve the performances of direct methanol fuel cells as candidate power sources to supplant primary and secondary batteries in a variety of portable electronic products. In order to realize the potential for high energy densities (as much as 1.5 W h/g) of direct methanol fuel cells, it will be necessary to optimize the chemical compositions and geometric configurations of catalyst layers and electrode structures. High performance can be achieved when catalyst particles and electrode structures have the necessary small feature sizes (typically of the order of nanometers), large surface areas, optimal metal compositions, high porosity, and hydrophobicity. The present method involves electrodeposition of one or more catalytic metal(s) or a catalytic-metal/polytetrafluoroethylene nanocomposite on an alumina nanotemplate. The alumina nanotemplate is then dissolved, leaving the desired metal or metal/polytetrafluoroethylene-composite catalyst layer. Unlike some prior methods of making fine metal catalysts, this method does not involve processing at elevated temperature; all processing can be done at room temperature. In addition, this method involves fewer steps and is more amenable to scaling up for mass production. Alumina nanotemplates are porous alumina membranes that have been fabricated, variously, by anodizing either pure aluminum or aluminum that has been deposited on silicon by electronbeam evaporation. The diameters of the pores (7 to 300 nm), areal densities of pores (as much as 7 x 10(exp 10)sq cm), and lengths of pores (up to about 100 nm) can be tailored by selection of fabrication conditions. In a given case, the catalytic metal, catalytic metal alloy, or catalytic metal/ polytetrafluoroethylene composite is electrodeposited in the pores of the alumina nanotemplate. The dimensions of the pores, together with the electrodeposition conditions, determine the sizes and surface areas of the catalytic particles. Hence, the small features and large surface areas of the porosity translate to the desired small particle size and large surface area of the catalyst (see figure). When polytetrafluoroethylene is included, it is for the purpose of imparting hydrophobicity in order to prevent water from impeding the desired diffusion of gases through the catalyst layer. To incorporate polytetrafluoroethylene into a catalytic-metal/polytetrafluoroethylene nanocomposite, one suspends polytetrafluoroethylene nanoparticles in the electrodeposition solution. The polytetrafluoroethylene content can be varied to obtain the desired degree of hydrophobicity and permeability by gas.
Online dimensionality reduction using competitive learning and Radial Basis Function network.
Tomenko, Vladimir
2011-06-01
The general purpose dimensionality reduction method should preserve data interrelations at all scales. Additional desired features include online projection of new data, processing nonlinearly embedded manifolds and large amounts of data. The proposed method, called RBF-NDR, combines these features. RBF-NDR is comprised of two modules. The first module learns manifolds by utilizing modified topology representing networks and geodesic distance in data space and approximates sampled or streaming data with a finite set of reference patterns, thus achieving scalability. Using input from the first module, the dimensionality reduction module constructs mappings between observation and target spaces. Introduction of specific loss function and synthesis of the training algorithm for Radial Basis Function network results in global preservation of data structures and online processing of new patterns. The RBF-NDR was applied for feature extraction and visualization and compared with Principal Component Analysis (PCA), neural network for Sammon's projection (SAMANN) and Isomap. With respect to feature extraction, the method outperformed PCA and yielded increased performance of the model describing wastewater treatment process. As for visualization, RBF-NDR produced superior results compared to PCA and SAMANN and matched Isomap. For the Topic Detection and Tracking corpus, the method successfully separated semantically different topics. Copyright © 2011 Elsevier Ltd. All rights reserved.
Sun, Wenqing; Zheng, Bin; Qian, Wei
2017-10-01
This study aimed to analyze the ability of extracting automatically generated features using deep structured algorithms in lung nodule CT image diagnosis, and compare its performance with traditional computer aided diagnosis (CADx) systems using hand-crafted features. All of the 1018 cases were acquired from Lung Image Database Consortium (LIDC) public lung cancer database. The nodules were segmented according to four radiologists' markings, and 13,668 samples were generated by rotating every slice of nodule images. Three multichannel ROI based deep structured algorithms were designed and implemented in this study: convolutional neural network (CNN), deep belief network (DBN), and stacked denoising autoencoder (SDAE). For the comparison purpose, we also implemented a CADx system using hand-crafted features including density features, texture features and morphological features. The performance of every scheme was evaluated by using a 10-fold cross-validation method and an assessment index of the area under the receiver operating characteristic curve (AUC). The observed highest area under the curve (AUC) was 0.899±0.018 achieved by CNN, which was significantly higher than traditional CADx with the AUC=0.848±0.026. The results from DBN was also slightly higher than CADx, while SDAE was slightly lower. By visualizing the automatic generated features, we found some meaningful detectors like curvy stroke detectors from deep structured schemes. The study results showed the deep structured algorithms with automatically generated features can achieve desirable performance in lung nodule diagnosis. With well-tuned parameters and large enough dataset, the deep learning algorithms can have better performance than current popular CADx. We believe the deep learning algorithms with similar data preprocessing procedure can be used in other medical image analysis areas as well. Copyright © 2017. Published by Elsevier Ltd.
Online 3D Ear Recognition by Combining Global and Local Features.
Liu, Yahui; Zhang, Bob; Lu, Guangming; Zhang, David
2016-01-01
The three-dimensional shape of the ear has been proven to be a stable candidate for biometric authentication because of its desirable properties such as universality, uniqueness, and permanence. In this paper, a special laser scanner designed for online three-dimensional ear acquisition was described. Based on the dataset collected by our scanner, two novel feature classes were defined from a three-dimensional ear image: the global feature class (empty centers and angles) and local feature class (points, lines, and areas). These features are extracted and combined in an optimal way for three-dimensional ear recognition. Using a large dataset consisting of 2,000 samples, the experimental results illustrate the effectiveness of fusing global and local features, obtaining an equal error rate of 2.2%.
Online 3D Ear Recognition by Combining Global and Local Features
Liu, Yahui; Zhang, Bob; Lu, Guangming; Zhang, David
2016-01-01
The three-dimensional shape of the ear has been proven to be a stable candidate for biometric authentication because of its desirable properties such as universality, uniqueness, and permanence. In this paper, a special laser scanner designed for online three-dimensional ear acquisition was described. Based on the dataset collected by our scanner, two novel feature classes were defined from a three-dimensional ear image: the global feature class (empty centers and angles) and local feature class (points, lines, and areas). These features are extracted and combined in an optimal way for three-dimensional ear recognition. Using a large dataset consisting of 2,000 samples, the experimental results illustrate the effectiveness of fusing global and local features, obtaining an equal error rate of 2.2%. PMID:27935955
Winokur, T S; McClellan, S; Siegal, G P; Reddy, V; Listinsky, C M; Conner, D; Goldman, J; Grimes, G; Vaughn, G; McDonald, J M
1998-07-01
Routine diagnosis of pathology images transmitted over telecommunications lines remains an elusive goal. Part of the resistance stems from the difficulty of enabling image selection by the remote pathologist. To address this problem, a telepathology microscope system (TelePath, TeleMedicine Solutions, Birmingham, Ala) that has features associated with static and dynamic imaging systems was constructed. Features of the system include near real time image transmission, provision of a tiled overview image, free choice of any fields at any desired optical magnification, and automated tracking of the pathologist's image selection. All commands and images are discrete, avoiding many inherent problems of full motion video and continuous remote control. A set of 64 slides was reviewed by 3 pathologists in a simulated frozen section environment. Each pathologist provided diagnoses for all 64 slides, as well as qualitative information about the system. Thirty-one of 192 diagnoses disagreed with the reference diagnosis that had been reached before the trial began. Qf the 31, 13 were deferrals and 12 were diagnoses of cases that had a deferral as the reference diagnosis. In 6 cases, the diagnosis disagreed with the reference diagnosis yielding an overall accuracy of 96.9%. Confidence levels in the diagnoses were high. This trial suggests that this system provides high-quality anatomic pathology services, including intraoperative diagnoses, over telecommunications lines.
Microstrip Yagi Antenna with Dual Aperture-Coupled Feed
NASA Technical Reports Server (NTRS)
Pogorzelski, Ronald; Venkatesan, Jaikrishna
2008-01-01
A proposed microstrip Yagi antenna would operate at a frequency of 8.4 GHz (which is in the X band) and would feature a mechanically simpler, more elegant design, relative to a prior L-band microstrip Yagi antenna. In general, the purpose of designing a microstrip Yagi antenna is to combine features of a Yagi antenna with those of a microstrip patch to obtain an antenna that can be manufactured at low cost, has a low profile, and radiates a directive beam that, as plotted on an elevation plane perpendicular to the antenna plane, appears tilted away from the broadside. Such antennas are suitable for flush mounting on surfaces of diverse objects, including spacecraft, aircraft, land vehicles, and computers. Stated somewhat more precisely, what has been proposed is a microstrip antenna comprising an array of three Yagi elements. Each element would include four microstrip-patch Yagi subelements: one reflector patch, one driven patch, and two director patches. To obtain circular polarization, each driven patch would be fed by use of a dual offset aperture-coupled feed featuring bow-tie-shaped apertures. The selection of the dual offset bow-tie aperture geometry is supported by results found in published literature that show that this geometry would enable matching of the impedances of the driven patches to the 50-Omega impedance of the microstrip feedline while maintaining a desirably large front-to-back lobe ratio.
Algorithms for Learning Preferences for Sets of Objects
NASA Technical Reports Server (NTRS)
Wagstaff, Kiri L.; desJardins, Marie; Eaton, Eric
2010-01-01
A method is being developed that provides for an artificial-intelligence system to learn a user's preferences for sets of objects and to thereafter automatically select subsets of objects according to those preferences. The method was originally intended to enable automated selection, from among large sets of images acquired by instruments aboard spacecraft, of image subsets considered to be scientifically valuable enough to justify use of limited communication resources for transmission to Earth. The method is also applicable to other sets of objects: examples of sets of objects considered in the development of the method include food menus, radio-station music playlists, and assortments of colored blocks for creating mosaics. The method does not require the user to perform the often-difficult task of quantitatively specifying preferences; instead, the user provides examples of preferred sets of objects. This method goes beyond related prior artificial-intelligence methods for learning which individual items are preferred by the user: this method supports a concept of setbased preferences, which include not only preferences for individual items but also preferences regarding types and degrees of diversity of items in a set. Consideration of diversity in this method involves recognition that members of a set may interact with each other in the sense that when considered together, they may be regarded as being complementary, redundant, or incompatible to various degrees. The effects of such interactions are loosely summarized in the term portfolio effect. The learning method relies on a preference representation language, denoted DD-PREF, to express set-based preferences. In DD-PREF, a preference is represented by a tuple that includes quality (depth) functions to estimate how desired a specific value is, weights for each feature preference, the desired diversity of feature values, and the relative importance of diversity versus depth. The system applies statistical concepts to estimate quantitative measures of the user s preferences from training examples (preferred subsets) specified by the user. Once preferences have been learned, the system uses those preferences to select preferred subsets from new sets. The method was found to be viable when tested in computational experiments on menus, music playlists, and rover images. Contemplated future development efforts include further tests on more diverse sets and development of a sub-method for (a) estimating the parameter that represents the relative importance of diversity versus depth, and (b) incorporating background knowledge about the nature of quality functions, which are special functions that specify depth preferences for features.
Hailemariam, Tewodros G; Kassie, Getnet M; Sisay, Mitike M
2012-10-24
Even though remarkable progress has been achieved, HIV/AIDS continues to be a major global health priority. HIV discordant relationship is one of the emerging issues in HIV prevention endeavour. In Ethiopia, very little is known about HIV-serodiscordant couples particularly how they manage their sexual relationship and fertility desire. Therefore, we conduct this study with the aim of exploring the experiences of HIV discordant couples about their sexual life, and fertility desire in the context of long-term relationships in Addis Ababa, Ethiopia. A grounded theory approach was employed using in-depth interviews among 36 informants in ART/PMTCT centers of three public hospitals, a health center and one PLHIV association in Addis Ababa. Theoretical sampling was used to recruit 28 clients who lived in a discordant relationship and eight health care providers as key informants. Data collection and analysis were undertaken simultaneously using a constant comparison. The analysis was facilitated using OpenCode software. A grounded theory pertaining to sexual life and desire to have a child among HIV discordant couples emerged as "maintaining the relationship" as a core category. Couples pass through a social process of struggle to maintain their relationship. The causal conditions for couples to enter into the process of struggle to maintain their relationship were collectively categorized as "Entering in-to a transition" (knowing HIV serostatus) and this includes mismatch of desire to have a child, controversy on safe sex versus desire to have a child, and undeniable change in sexual desire and practice through time were the features in entering into-transition. Then after the transition, couples engaged in certain actions/strategies that are categorized as "dealing with discordancy" such as entertaining partner's interest by scarifying once self interest to maintain their relationship. HIV discordant couples' relationship is filled with controversies of maintaining relationship versus fear of getting infected. The findings of this study have suggested the need to view discordant couple's actions as a process of maintaining their relationship in the context of eminent risks. Further study should be done among HIV discordant couples to assess the fitness of the current model in different setups and population. In addition, a study could begin to test the hypotheses proposed in this study.
2012-01-01
Background Even though remarkable progress has been achieved, HIV/AIDS continues to be a major global health priority. HIV discordant relationship is one of the emerging issues in HIV prevention endeavour. In Ethiopia, very little is known about HIV-serodiscordant couples particularly how they manage their sexual relationship and fertility desire. Therefore, we conduct this study with the aim of exploring the experiences of HIV discordant couples about their sexual life, and fertility desire in the context of long-term relationships in Addis Ababa, Ethiopia. Methods A grounded theory approach was employed using in-depth interviews among 36 informants in ART/PMTCT centers of three public hospitals, a health center and one PLHIV association in Addis Ababa. Theoretical sampling was used to recruit 28 clients who lived in a discordant relationship and eight health care providers as key informants. Data collection and analysis were undertaken simultaneously using a constant comparison. The analysis was facilitated using OpenCode software. Results A grounded theory pertaining to sexual life and desire to have a child among HIV discordant couples emerged as “maintaining the relationship” as a core category. Couples pass through a social process of struggle to maintain their relationship. The causal conditions for couples to enter into the process of struggle to maintain their relationship were collectively categorized as “Entering in-to a transition” (knowing HIV serostatus) and this includes mismatch of desire to have a child, controversy on safe sex versus desire to have a child, and undeniable change in sexual desire and practice through time were the features in entering into-transition. Then after the transition, couples engaged in certain actions/strategies that are categorized as “dealing with discordancy” such as entertaining partner’s interest by scarifying once self interest to maintain their relationship. Conclusions HIV discordant couples’ relationship is filled with controversies of maintaining relationship versus fear of getting infected. The findings of this study have suggested the need to view discordant couple’s actions as a process of maintaining their relationship in the context of eminent risks. Further study should be done among HIV discordant couples to assess the fitness of the current model in different setups and population. In addition, a study could begin to test the hypotheses proposed in this study. PMID:23092155
Laser optical appraisal and design of a PRIME/Rover interface
NASA Technical Reports Server (NTRS)
Donaldson, J. A.
1980-01-01
An appraisal of whether to improve the existing multi-laser/multi detector system was undertaken. Two features of the elevation scanning mast which prevent the system from meeting desired specifications were studied. Then elevation scanning mast has 20 detectors, as opposed to the desired 40. This influences the system's overall resolution. The mirror shaft encoder's finite resolution prevents the laser from being aimed exactly as desired. This influences the system's overall accuracy. It was concluded that the existing system needs no modification at present. The design and construction of a data emulator which allowed testing data transactions with a PRIME computer is described, and theory of operation briefly discussed. A full blown PRIME/Rover Interface was designed and built. The capabilities of this Interface and its operating principles are discussed.
Regional shape-based feature space for segmenting biomedical images using neural networks
NASA Astrophysics Data System (ADS)
Sundaramoorthy, Gopal; Hoford, John D.; Hoffman, Eric A.
1993-07-01
In biomedical images, structure of interest, particularly the soft tissue structures, such as the heart, airways, bronchial and arterial trees often have grey-scale and textural characteristics similar to other structures in the image, making it difficult to segment them using only gray- scale and texture information. However, these objects can be visually recognized by their unique shapes and sizes. In this paper we discuss, what we believe to be, a novel, simple scheme for extracting features based on regional shapes. To test the effectiveness of these features for image segmentation (classification), we use an artificial neural network and a statistical cluster analysis technique. The proposed shape-based feature extraction algorithm computes regional shape vectors (RSVs) for all pixels that meet a certain threshold criteria. The distance from each such pixel to a boundary is computed in 8 directions (or in 26 directions for a 3-D image). Together, these 8 (or 26) values represent the pixel's (or voxel's) RSV. All RSVs from an image are used to train a multi-layered perceptron neural network which uses these features to 'learn' a suitable classification strategy. To clearly distinguish the desired object from other objects within an image, several examples from inside and outside the desired object are used for training. Several examples are presented to illustrate the strengths and weaknesses of our algorithm. Both synthetic and actual biomedical images are considered. Future extensions to this algorithm are also discussed.
Use of Social Desirability Scales in Clinical Psychology: A Systematic Review.
Perinelli, Enrico; Gremigni, Paola
2016-06-01
There is still an open debate about the utility of social desirability indicators. This report systematically reviewed the use of social desirability scales in studies addressing social desirability in clinical psychology. A systematic review (January 2010-March 2015) was conducted, including 35 studies meeting the inclusion criteria of being published in peer-reviewed journals and describing quantitative findings about an association of social desirability with clinical psychology variables using a cross-sectional or longitudinal design. Social desirability was associated with self-reports of various clinical-psychological dimensions. Most of the included studies treated social desirability as a 1-dimensional variable and only 10 of 35 disentangled the impression management and self-deception components. Although theoretical literature does not consider social desirability a mere response bias, only 4 of the reviewed articles controlled for the possible suppressor effect of personality variables on social desirability, while the majority focused upon the stylistic (response bias) rather than the substantive (personality) nature of this construct. The present review highlighted some limitations in the use of social desirability scales in recent clinical psychology research and tried to offer a few suggestions for handling this issue. © 2016 Wiley Periodicals, Inc.
The use of ionisation chambers for dose rate measurements at industrial irradiation plants
NASA Astrophysics Data System (ADS)
Sephton, J. P.; Sharpe, P. H. G.; Chu, R. D. H.
2002-03-01
The use of ionisation chambers to measure dose rate at industrial irradiation plants has been studied as part of a wider project on real time dosimetry. The characteristics required of such a chamber are discussed. These include the ability to withstand operation at high cumulative doses (up to 5 MGy) and dose rates of up to about 150 kGy h -1. Other desirable features are water equivalence and immunity to environmental conditions such as temperature, pressure and humidity. A number of chambers have been assessed experimentally and a suitable chamber selected. The dosimetric characteristics of the chosen chamber have been assessed by comparison with absorbed dose measurements made using chemical dosimeters.
Characterization of GTA weldments in 10Ni-8CO-2Cr-1MO steel
NASA Technical Reports Server (NTRS)
Stonesifer, F. R.; Smith, H. L.
1972-01-01
This study of 10Ni-8Co-2Cr-1Mo steel includes evaluations of tensile, impact, hardness, fracture toughness properties, and metallographic features. Base plate and three weldments in one-inch thicknesses were examined to compare as-welded properties with those obtained after reaging, and results of welding the 10%Ni alloy with 9-4-20 wire as opposed to a matching weld wire composition. Critical crack sizes are calculated for the material. The most desirable weld properties are obtained using the matching weld wire and a reaging cycle. However, the improvement gained through reaging is probably not sufficient to justify the additional cost for most practical applications.
A compact in vivo neutron activation analysis system to quantify manganese in human hand bone
NASA Astrophysics Data System (ADS)
Liu, Yingzi
As an urgent issue of correlating cumulative manganese (Mn) exposure to neurotoxicity, bone has emerged as an attractive biomarker for long-term Mn deposition and storage. A novel Deuterium-Deuterium (DD) neutron generator irradiation system has been simulated and constructed, incorporating moderator, reflector and shielding. This neutron activation analysis (NAA) irradiation assembly presents several desirable features, including high neutron flux, improved detection limit and acceptable neutron & photon dose, which would allow it be ready for clinical measurement. Key steps include simulation modeling and verifying, irradiation system design, detector characterization, and neutron flux and dose assessment. Activation foils were also analyzed to reveal the accurate neutron spectrum in the irradiation cave. The detection limit with this system is 0.428 ppm with 36 mSv equivalent hand dose and 52 microSv whole body effective dose.
NASA Technical Reports Server (NTRS)
Free, April M.; Flowers, George T.; Trent, Victor S.
1993-01-01
Auxiliary bearings are a critical feature of any magnetic bearing system. They protect the soft iron core of the magnetic bearing during an overload or failure. An auxiliary bearing typically consists of a rolling element bearing or bushing with a clearance gap between the rotor and the inner race of the support. The dynamics of such systems can be quite complex. It is desired to develop a rotor-dynamic model and assess the dynamic behavior of a magnetic bearing rotor system which includes the effects of auxiliary bearings. Of particular interest is the effects of introducing sideloading into such a system during failure of the magnetic bearing. A model is developed from an experimental test facility and a number of simulation studies are performed. These results are presented and discussed.
Composite material impregnation unit
NASA Technical Reports Server (NTRS)
Wilkinson, S. P.; Marchello, J. M.; Johnston, N. J.
1993-01-01
This memorandum presents an introduction to the NASA multi-purpose prepregging unit which is now installed and fully operational at the Langley Research Center in the Polymeric Materials Branch. A description of the various impregnation methods that are available to the prepregger are presented. Machine operating details and protocol are provided for its various modes of operation. These include, where appropriate, the related equations for predicting the desired prepreg specifications. Also, as the prepregger is modular in its construction, each individual section is described and discussed. Safety concerns are an important factor and a chapter has been included that highlights the major safety features. Initial experiences and observations for fiber impregnation are described. These first observations have given great insight into the areas of future work that need to be addressed. Future memorandums will focus on these individual processes and their related problems.
Soft Somatosensitive Actuators via Embedded 3D Printing.
Truby, Ryan L; Wehner, Michael; Grosskopf, Abigail K; Vogt, Daniel M; Uzel, Sebastien G M; Wood, Robert J; Lewis, Jennifer A
2018-04-01
Humans possess manual dexterity, motor skills, and other physical abilities that rely on feedback provided by the somatosensory system. Herein, a method is reported for creating soft somatosensitive actuators (SSAs) via embedded 3D printing, which are innervated with multiple conductive features that simultaneously enable haptic, proprioceptive, and thermoceptive sensing. This novel manufacturing approach enables the seamless integration of multiple ionically conductive and fluidic features within elastomeric matrices to produce SSAs with the desired bioinspired sensing and actuation capabilities. Each printed sensor is composed of an ionically conductive gel that exhibits both long-term stability and hysteresis-free performance. As an exemplar, multiple SSAs are combined into a soft robotic gripper that provides proprioceptive and haptic feedback via embedded curvature, inflation, and contact sensors, including deep and fine touch contact sensors. The multimaterial manufacturing platform enables complex sensing motifs to be easily integrated into soft actuating systems, which is a necessary step toward closed-loop feedback control of soft robots, machines, and haptic devices. © 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
Supersymmetric model for dark matter and baryogenesis motivated by the recent CDMS result.
Allahverdi, Rouzbeh; Dutta, Bhaskar; Mohapatra, Rabindra N; Sinha, Kuver
2013-08-02
We discuss a supersymmetric model for cogenesis of dark and baryonic matter where the dark matter (DM) has mass in the 8-10 GeV range as indicated by several direct detection searches, including most recently the CDMS experiment with the desired cross section. The DM candidate is a real scalar field. Two key distinguishing features of the model are the following: (i) in contrast with the conventional weakly interacting massive particle dark matter scenarios where thermal freeze-out is responsible for the observed relic density, our model uses nonthermal production of dark matter after reheating of the Universe caused by moduli decay at temperatures below the QCD phase transition, a feature which alleviates the relic overabundance problem caused by small annihilation cross section of light DM particles and (ii) baryogenesis occurs also at similar low temperatures from the decay of TeV scale mediator particles arising from moduli decay. A possible test of this model is the existence of colored particles with TeV masses accessible at the LHC.
Mokta, Jatinder; Ranjan, Asha; Thakur, Surinder; Bhawani, Rajesh; Mokta, Kiran K; Sharma, Jai Bharat; Kumar, Manish
2017-12-01
Panhypopituitarism is a rare disorder with varied clinical presentation having various etiologies. Sheehan's syndrome (SS) is decreasing in frequency worldwide and is a rare cause of panhypopituitarism in developed nations. A retrospective study done between May 2011 and May 2015 in tertiary care hospital. We reviewed the records of patients with hypopituitarism. Clinical features, hormonal profile and radiological investigations noted. Total 14 patients of panhypopituitarism included with average duration of symptoms 1.93± 1.96 years. four (28.57%) were males and ten (71.43%) were females with mean age of diagnosis 37.78± 13.68 years. Sheehan's syndrome (SS) was the most common cause of panhypopituitarism in 57.14%(8 patients), followed by post surgery in 14.28% (2 patients). 80% of women had SS with a mean duration of symptoms 2.39±1.54 years. Sheehan's syndrome is not uncommon in developing countries, High degree of clinical suspicion is desired as clinical features are most often subtle.
Verma, Audrey; van der Wal, René; Fischer, Anke
2017-01-01
New technologies have increasingly featured in environmental conservation conflicts. We examined the deployment of imaging devices such as sonar equipment and cameras to survey the Fal estuary in Cornwall, UK. Due to heavy use of these waters, there have been several disputes coalescing around protected marine features, including the estuary's rare maerl beds. A comparison of two cases, scallop dredging and docks development, showed technical instruments being deployed to produce information about the marine environment as evidence to inform decision-making. The use of imaging devices stimulated political action and was regarded as a move away from emotion-based decision-making towards desired objectivity. Simultaneously, however, the process of deploying these devices was challenged and there was recognition that the resultant information could be used to construct the estuary as a politically charged space. Thus, rather than clarifying and resolving contentious issues, technological interventions generated new baselines for knowledge contestation and amplified ongoing battles for credibility and authority.
The Grammaticalization of the Proximative in Tok Pisin.
ERIC Educational Resources Information Center
Romaine, Suzanne
1999-01-01
Discusses grammaticalization of "laik" in Tok Pisin, meaning "want/like/desire" (from English "like") and "klostu," meaning "near" (from English "close to") as markers of proximative. Shows although "klostu" was more generally a feature of Pacific Pidgin English and began to…
Assessment of the Seattle Smart Traveler evaluation
DOT National Transportation Integrated Search
1999-09-01
The system was designed using a World Wide Web or Internet interface. Two of the unique features of the design were accommodating the desired travel times and identifying origins and destinations. A search structure was developed using a series of pu...
A Virtual Microscope for Academic Medical Education: The Pate Project
Hundt, Christian; Schmitt, Volker H; Schömer, Elmar; Kirkpatrick, C James
2015-01-01
Background Whole-slide imaging (WSI) has become more prominent and continues to gain in importance in student teaching. Applications with different scope have been developed. Many of these applications have either technical or design shortcomings. Objective To design a survey to determine student expectations of WSI applications for teaching histological and pathological diagnosis. To develop a new WSI application based on the findings of the survey. Methods A total of 216 students were questioned about their experiences and expectations of WSI applications, as well as favorable and undesired features. The survey included 14 multiple choice and two essay questions. Based on the survey, we developed a new WSI application called Pate utilizing open source technologies. Results The survey sample included 216 students—62.0% (134) women and 36.1% (78) men. Out of 216 students, 4 (1.9%) did not disclose their gender. The best-known preexisting WSI applications included Mainzer Histo Maps (199/216, 92.1%), Histoweb Tübingen (16/216, 7.4%), and Histonet Ulm (8/216, 3.7%). Desired features for the students were latitude in the slides (190/216, 88.0%), histological (191/216, 88.4%) and pathological (186/216, 86.1%) annotations, points of interest (181/216, 83.8%), background information (146/216, 67.6%), and auxiliary informational texts (113/216, 52.3%). By contrast, a discussion forum was far less important (9/216, 4.2%) for the students. Conclusions The survey revealed that the students appreciate a rich feature set, including WSI functionality, points of interest, auxiliary informational texts, and annotations. The development of Pate was significantly influenced by the findings of the survey. Although Pate currently has some issues with the Zoomify file format, it could be shown that Web technologies are capable of providing a high-performance WSI experience, as well as a rich feature set. PMID:25963527
FaceTOON: a unified platform for feature-based cartoon expression generation
NASA Astrophysics Data System (ADS)
Zaharia, Titus; Marre, Olivier; Prêteux, Françoise; Monjaux, Perrine
2008-02-01
This paper presents the FaceTOON system, a semi-automatic platform dedicated to the creation of verbal and emotional facial expressions, within the applicative framework of 2D cartoon production. The proposed FaceTOON platform makes it possible to rapidly create 3D facial animations with a minimum amount of user interaction. In contrast with existing commercial 3D modeling softwares, which usually require from the users advanced 3D graphics skills and competences, the FaceTOON system is based exclusively on 2D interaction mechanisms, the 3D modeling stage being completely transparent for the user. The system takes as input a neutral 3D face model, free of any facial feature, and a set of 2D drawings, representing the desired facial features. A 2D/3D virtual mapping procedure makes it possible to obtain a ready-for-animation model which can be directly manipulated and deformed for generating expressions. The platform includes a complete set of dedicated tools for 2D/3D interactive deformation, pose management, key-frame interpolation and MPEG-4 compliant animation and rendering. The proposed FaceTOON system is currently considered for industrial evaluation and commercialization by the Quadraxis company.
An efficient ensemble learning method for gene microarray classification.
Osareh, Alireza; Shadgar, Bita
2013-01-01
The gene microarray analysis and classification have demonstrated an effective way for the effective diagnosis of diseases and cancers. However, it has been also revealed that the basic classification techniques have intrinsic drawbacks in achieving accurate gene classification and cancer diagnosis. On the other hand, classifier ensembles have received increasing attention in various applications. Here, we address the gene classification issue using RotBoost ensemble methodology. This method is a combination of Rotation Forest and AdaBoost techniques which in turn preserve both desirable features of an ensemble architecture, that is, accuracy and diversity. To select a concise subset of informative genes, 5 different feature selection algorithms are considered. To assess the efficiency of the RotBoost, other nonensemble/ensemble techniques including Decision Trees, Support Vector Machines, Rotation Forest, AdaBoost, and Bagging are also deployed. Experimental results have revealed that the combination of the fast correlation-based feature selection method with ICA-based RotBoost ensemble is highly effective for gene classification. In fact, the proposed method can create ensemble classifiers which outperform not only the classifiers produced by the conventional machine learning but also the classifiers generated by two widely used conventional ensemble learning methods, that is, Bagging and AdaBoost.
Su, Mingzhe; Ma, Yan; Zhang, Xiangfen; Wang, Yan; Zhang, Yuping
2017-01-01
The traditional scale invariant feature transform (SIFT) method can extract distinctive features for image matching. However, it is extremely time-consuming in SIFT matching because of the use of the Euclidean distance measure. Recently, many binary SIFT (BSIFT) methods have been developed to improve matching efficiency; however, none of them is invariant to mirror reflection. To address these problems, in this paper, we present a horizontal or vertical mirror reflection invariant binary descriptor named MBR-SIFT, in addition to a novel image matching approach. First, 16 cells in the local region around the SIFT keypoint are reorganized, and then the 128-dimensional vector of the SIFT descriptor is transformed into a reconstructed vector according to eight directions. Finally, the MBR-SIFT descriptor is obtained after binarization and reverse coding. To improve the matching speed and accuracy, a fast matching algorithm that includes a coarse-to-fine two-step matching strategy in addition to two similarity measures for the MBR-SIFT descriptor are proposed. Experimental results on the UKBench dataset show that the proposed method not only solves the problem of mirror reflection, but also ensures desirable matching accuracy and speed.
Su, Mingzhe; Ma, Yan; Zhang, Xiangfen; Wang, Yan; Zhang, Yuping
2017-01-01
The traditional scale invariant feature transform (SIFT) method can extract distinctive features for image matching. However, it is extremely time-consuming in SIFT matching because of the use of the Euclidean distance measure. Recently, many binary SIFT (BSIFT) methods have been developed to improve matching efficiency; however, none of them is invariant to mirror reflection. To address these problems, in this paper, we present a horizontal or vertical mirror reflection invariant binary descriptor named MBR-SIFT, in addition to a novel image matching approach. First, 16 cells in the local region around the SIFT keypoint are reorganized, and then the 128-dimensional vector of the SIFT descriptor is transformed into a reconstructed vector according to eight directions. Finally, the MBR-SIFT descriptor is obtained after binarization and reverse coding. To improve the matching speed and accuracy, a fast matching algorithm that includes a coarse-to-fine two-step matching strategy in addition to two similarity measures for the MBR-SIFT descriptor are proposed. Experimental results on the UKBench dataset show that the proposed method not only solves the problem of mirror reflection, but also ensures desirable matching accuracy and speed. PMID:28542537
Estimating the Diets of Animals Using Stable Isotopes and a Comprehensive Bayesian Mixing Model
Hopkins, John B.; Ferguson, Jake M.
2012-01-01
Using stable isotope mixing models (SIMMs) as a tool to investigate the foraging ecology of animals is gaining popularity among researchers. As a result, statistical methods are rapidly evolving and numerous models have been produced to estimate the diets of animals—each with their benefits and their limitations. Deciding which SIMM to use is contingent on factors such as the consumer of interest, its food sources, sample size, the familiarity a user has with a particular framework for statistical analysis, or the level of inference the researcher desires to make (e.g., population- or individual-level). In this paper, we provide a review of commonly used SIMM models and describe a comprehensive SIMM that includes all features commonly used in SIMM analysis and two new features. We used data collected in Yosemite National Park to demonstrate IsotopeR's ability to estimate dietary parameters. We then examined the importance of each feature in the model and compared our results to inferences from commonly used SIMMs. IsotopeR's user interface (in R) will provide researchers a user-friendly tool for SIMM analysis. The model is also applicable for use in paleontology, archaeology, and forensic studies as well as estimating pollution inputs. PMID:22235246
Latkin, Carl A; Edwards, Catie; Davey-Rothwell, Melissa A; Tobin, Karin E
2017-10-01
Social desirability response bias may lead to inaccurate self-reports and erroneous study conclusions. The present study examined the relationship between social desirability response bias and self-reports of mental health, substance use, and social network factors among a community sample of inner-city substance users. The study was conducted in a sample of 591 opiate and cocaine users in Baltimore, Maryland from 2009 to 2013. Modified items from the Marlowe-Crowne Social Desirability Scale were included in the survey, which was conducted face-to-face and using Audio Computer Self Administering Interview (ACASI) methods. There were highly statistically significant differences in levels of social desirability response bias by levels of depressive symptoms, drug use stigma, physical health status, recent opiate and cocaine use, Alcohol Use Disorders Identification Test (AUDIT) scores, and size of social networks. There were no associations between health service utilization measures and social desirability bias. In multiple logistic regression models, even after including the Center for Epidemiologic Studies Depression Scale (CES-D) as a measure of depressive symptomology, social desirability bias was associated with recent drug use and drug user stigma. Social desirability bias was not associated with enrollment in prior research studies. These findings suggest that social desirability bias is associated with key health measures and that the associations are not primarily due to depressive symptoms. Methods are needed to reduce social desirability bias. Such methods may include the wording and prefacing of questions, clearly defining the role of "study participant," and assessing and addressing motivations for socially desirable responses. Copyright © 2017 Elsevier Ltd. All rights reserved.
An adaptive multi-feature segmentation model for infrared image
NASA Astrophysics Data System (ADS)
Zhang, Tingting; Han, Jin; Zhang, Yi; Bai, Lianfa
2016-04-01
Active contour models (ACM) have been extensively applied to image segmentation, conventional region-based active contour models only utilize global or local single feature information to minimize the energy functional to drive the contour evolution. Considering the limitations of original ACMs, an adaptive multi-feature segmentation model is proposed to handle infrared images with blurred boundaries and low contrast. In the proposed model, several essential local statistic features are introduced to construct a multi-feature signed pressure function (MFSPF). In addition, we draw upon the adaptive weight coefficient to modify the level set formulation, which is formed by integrating MFSPF with local statistic features and signed pressure function with global information. Experimental results demonstrate that the proposed method can make up for the inadequacy of the original method and get desirable results in segmenting infrared images.
TRADITIONAL METALLURGY, NANOTECHNOLOGIES AND STRUCTURAL MATERIALS: A SORBY AWARD LECTURE
DOE Office of Scientific and Technical Information (OSTI.GOV)
Louthan, M
2007-07-17
Traditional metallurgical processes are among the many ''old fashion'' practices that use nanoparticles to control the behavior of materials. Many of these practices were developed long before microscopy could resolve nanoscale features, yet the practitioners learned to manipulate and control microstructural elements that they could neither see nor identify. Furthermore, these early practitioners used that control to modify microstructures and develop desired material properties. Centuries old colored glass, ancient high strength steels and medieval organ pipes derived many of their desirable features through control of nanoparticles in their microstructures. Henry Sorby was among the first to recognize that the propertiesmore » of rocks, minerals, metals and organic materials were controlled by microstructure. However, Mr. Sorby was accused of the folly of trying to study mountains with a microscope. Although he could not resolve nanoscale microstructural features, Mr. Sorby's observations revolutionized the study of materials. The importance of nanoscale microstructural elements should be emphasized, however, because the present foundation for structural materials was built by manipulating those features. That foundation currently supports several multibillion dollar industries but is not generally considered when the nanomaterials revolution is discussed. This lecture demonstrates that using nanotechnologies to control the behavior of metallic materials is almost as old as the practice of metallurgy and that many of the emergent nanomaterials technologists are walking along pathways previously paved by traditional metallurgists.« less
Wakefield, Daniel V; Manole, Bogdan A; Jethanandani, Amit; May, Michael E; Marcrom, Samuel R; Farmer, Michael R; Ballo, Matthew T; VanderWalde, Noam A
2016-01-01
Radiation oncology (RO) residency applicants commonly use Internet resources for information on residency programs. The purpose of this study is to assess the accessibility, availability, and quality of online information for RO graduate medical education. Accessibility of online information was determined by surveying databases for RO residency programs within the Fellowship Residency Electronic Interactive Data Access System (FREIDA) of the American Medical Association, the Accreditation Council for Graduate Medical Education (ACGME), and Google search. As of June 30, 2015, websites were assessed for presence, accessibility, and overall content availability based on a 55-item list of desired features based on 13 program features important to previously surveyed applicants. Quality scoring of available content was performed based on previously published Likert scale variables deemed desirable to RO applicants. Quality score labels were given based on percentage of desired information presented. FREIDA and ACGME databases listed 89% and 98% of program websites, respectively, but only 56% and 52% of links routed to a RO department-specific website, respectively. Google search obtained websites for 98% of programs and 95% of links routed to RO department-specific websites. The majority of websites had program descriptions (98%) and information on staff. However, resident information was more limited (total number [42%], education [47%], previous residents [28%], positions available [35%], contact information [13%]). Based on quality scoring, program websites contained only 47% of desired information on average. Only 13% of programs had superior websites containing 80% or more of desired information. Compared with Google, the FREIDA and ACGME program databases provide limited access to RO residency websites. The overall information availability and quality of information within RO residency websites varies widely. Applicants and programs may benefit from improved content accessibility and quality from US RO program websites in the residency application process. Copyright © 2016 American Society for Radiation Oncology. Published by Elsevier Inc. All rights reserved.
ERIC Educational Resources Information Center
Hogan, John D.
1984-01-01
Alternative college retirement programs and features of a desirable retirement program are discussed. The historical, social, and economic forces that prompt institutions to consider alternative programs are identified. The present position of college faculty in terms of retirement options is also addressed. Since its inception, the Teachers…
How To Get What You Want When Working on a Renovation Project.
ERIC Educational Resources Information Center
Roark, Steven
2002-01-01
Describes how leaders and instructors in the Art Department of Longview Community College in Kansas City, Missouri, found a solution to incorporating a desired renovation feature (a sink in the ceramics and clay studio) within budget constraints. (EV)
ON ENERGY AND SUSTAINABILITY (PERSONAL COLUMN)
The use of energy is a major and desirable feature of modern human existence, but it has significant impact on the planetary environment. It is, therefore, an important issue in the quest for sustainability. The search for viable policies leading to energy sustainability falls ...
Trio of Tryptophans Aid in Camptothecin Therapy | Center for Cancer Research
On occasion, a normally desirable feature becomes not so desirable, making it necessary to find ways to work around it. The double helical nature of DNA helps it attain a compact, supercoiled state, which is essential for lengthy strands of DNA to reside in the nucleus as part of the chromosomes. During DNA replication and gene transcription, however, cellular machinery needs to access individual DNA strands; thus, the supercoiled, knotted state becomes undesirable. Just as a tangled telephone cord has to be manipulated, the DNA strands must be separated, unwound, and eventually joined together again.
Recent results in visual servoing
NASA Astrophysics Data System (ADS)
Chaumette, François
2008-06-01
Visual servoing techniques consist in using the data provided by a vision sensor in order to control the motions of a dynamic system. Such systems are usually robot arms, mobile robots, aerial robots,… but can also be virtual robots for applications in computer animation, or even a virtual camera for applications in computer vision and augmented reality. A large variety of positioning tasks, or mobile target tracking, can be implemented by controlling from one to all the degrees of freedom of the system. Whatever the sensor configuration, which can vary from one on-board camera on the robot end-effector to several free-standing cameras, a set of visual features has to be selected at best from the image measurements available, allowing to control the degrees of freedom desired. A control law has also to be designed so that these visual features reach a desired value, defining a correct realization of the task. With a vision sensor providing 2D measurements, potential visual features are numerous, since as well 2D data (coordinates of feature points in the image, moments, …) as 3D data provided by a localization algorithm exploiting the extracted 2D measurements can be considered. It is also possible to combine 2D and 3D visual features to take the advantages of each approach while avoiding their respective drawbacks. From the selected visual features, the behavior of the system will have particular properties as for stability, robustness with respect to noise or to calibration errors, robot 3D trajectory, etc. The talk will present the main basic aspects of visual servoing, as well as technical advances obtained recently in the field inside the Lagadic group at INRIA/INRISA Rennes. Several application results will be also described.
A summary of image segmentation techniques
NASA Technical Reports Server (NTRS)
Spirkovska, Lilly
1993-01-01
Machine vision systems are often considered to be composed of two subsystems: low-level vision and high-level vision. Low level vision consists primarily of image processing operations performed on the input image to produce another image with more favorable characteristics. These operations may yield images with reduced noise or cause certain features of the image to be emphasized (such as edges). High-level vision includes object recognition and, at the highest level, scene interpretation. The bridge between these two subsystems is the segmentation system. Through segmentation, the enhanced input image is mapped into a description involving regions with common features which can be used by the higher level vision tasks. There is no theory on image segmentation. Instead, image segmentation techniques are basically ad hoc and differ mostly in the way they emphasize one or more of the desired properties of an ideal segmenter and in the way they balance and compromise one desired property against another. These techniques can be categorized in a number of different groups including local vs. global, parallel vs. sequential, contextual vs. noncontextual, interactive vs. automatic. In this paper, we categorize the schemes into three main groups: pixel-based, edge-based, and region-based. Pixel-based segmentation schemes classify pixels based solely on their gray levels. Edge-based schemes first detect local discontinuities (edges) and then use that information to separate the image into regions. Finally, region-based schemes start with a seed pixel (or group of pixels) and then grow or split the seed until the original image is composed of only homogeneous regions. Because there are a number of survey papers available, we will not discuss all segmentation schemes. Rather than a survey, we take the approach of a detailed overview. We focus only on the more common approaches in order to give the reader a flavor for the variety of techniques available yet present enough details to facilitate implementation and experimentation.
NASA Astrophysics Data System (ADS)
Anuar, Nuraslinda; Kahar, Wan Shakirah Wan Abdul; Manan, Jamal Abdul Nasir Abd
2015-04-01
Developing countries that are considering the deployment of nuclear power plants (NPPs) in the near future need to perform reactor technology assessment (RTA) in order to select the most suitable reactor design. The International Atomic Energy Agency (IAEA) reported in the Common User Considerations (CUC) document that "proven technology" is one of the most important technical criteria for newcomer countries in performing the RTA. The qualitative description of five desired features for "proven technology" is relatively broad and only provides a general guideline to its characterization. This paper proposes a methodology to define the "proven technology" term according to a specific country's requirements using a three-stage evaluation process. The first evaluation stage screens the available technologies in the market against a predefined minimum Technology Readiness Level (TRL) derived as a condition based on national needs and policy objectives. The result is a list of technology options, which are then assessed in the second evaluation stage against quantitative definitions of CUC desired features for proven technology. The potential technology candidates produced from this evaluation is further narrowed down to obtain a list of proven technology candidates by assessing them against selected risk criteria and the established maximum allowable total score using a scoring matrix. The outcome of this methodology is the proven technology candidates selected using an accurate definition of "proven technology" that fulfills the policy objectives, national needs and risk, and country-specific CUC desired features of the country that performs this assessment. A simplified assessment for Malaysia is carried out to demonstrate and suggest the use of the proposed methodology. In this exercise, ABWR, AP1000, APR1400 and EPR designs assumed the top-ranks of proven technology candidates according to Malaysia's definition of "proven technology".
DOE Office of Scientific and Technical Information (OSTI.GOV)
Anuar, Nuraslinda, E-mail: nuraslinda@uniten.edu.my; Kahar, Wan Shakirah Wan Abdul, E-mail: shakirah@tnb.com.my; Manan, Jamal Abdul Nasir Abd
Developing countries that are considering the deployment of nuclear power plants (NPPs) in the near future need to perform reactor technology assessment (RTA) in order to select the most suitable reactor design. The International Atomic Energy Agency (IAEA) reported in the Common User Considerations (CUC) document that “proven technology” is one of the most important technical criteria for newcomer countries in performing the RTA. The qualitative description of five desired features for “proven technology” is relatively broad and only provides a general guideline to its characterization. This paper proposes a methodology to define the “proven technology” term according to amore » specific country’s requirements using a three-stage evaluation process. The first evaluation stage screens the available technologies in the market against a predefined minimum Technology Readiness Level (TRL) derived as a condition based on national needs and policy objectives. The result is a list of technology options, which are then assessed in the second evaluation stage against quantitative definitions of CUC desired features for proven technology. The potential technology candidates produced from this evaluation is further narrowed down to obtain a list of proven technology candidates by assessing them against selected risk criteria and the established maximum allowable total score using a scoring matrix. The outcome of this methodology is the proven technology candidates selected using an accurate definition of “proven technology” that fulfills the policy objectives, national needs and risk, and country-specific CUC desired features of the country that performs this assessment. A simplified assessment for Malaysia is carried out to demonstrate and suggest the use of the proposed methodology. In this exercise, ABWR, AP1000, APR1400 and EPR designs assumed the top-ranks of proven technology candidates according to Malaysia’s definition of “proven technology”.« less
A novel scheme for abnormal cell detection in Pap smear images
NASA Astrophysics Data System (ADS)
Zhao, Tong; Wachman, Elliot S.; Farkas, Daniel L.
2004-07-01
Finding malignant cells in Pap smear images is a "needle in a haystack"-type problem, tedious, labor-intensive and error-prone. It is therefore desirable to have an automatic screening tool in order that human experts can concentrate on the evaluation of the more difficult cases. Most research on automatic cervical screening tries to extract morphometric and texture features at the cell level, in accordance with the NIH "The Bethesda System" rules. Due to variances in image quality and features, such as brightness, magnification and focus, morphometric and texture analysis is insufficient to provide robust cervical cancer detection. Using a microscopic spectral imaging system, we have produced a set of multispectral Pap smear images with wavelengths from 400 nm to 690 nm, containing both spectral signatures and spatial attributes. We describe a novel scheme that combines spatial information (including texture and morphometric features) with spectral information to significantly improve abnormal cell detection. Three kinds of wavelet features, orthogonal, bi-orthogonal and non-orthogonal, are carefully chosen to optimize recognition performance. Multispectral feature sets are then extracted in the wavelet domain. Using a Back-Propagation Neural Network classifier that greatly decreases the influence of spurious events, we obtain a classification error rate of 5%. Cell morphometric features, such as area and shape, are then used to eliminate most remaining small artifacts. We report initial results from 149 cells from 40 separate image sets, in which only one abnormal cell was missed (TPR = 97.6%) and one normal cell was falsely classified as cancerous (FPR = 1%).
Method for production of an isotopically enriched compound
Watrous, Matthew G.
2012-12-11
A method is presented for producing and isolating an isotopically enriched compound of a desired isotope from a parent radionuclide. The method includes forming, or placing, a precipitate containing a parent radionuclide of the desired daughter isotope in a first reaction zone and allowing sufficient time for the parent to decay into the desired gaseous daughter radioisotope. The method further contemplates collecting the desired daughter isotope as a solid in a second reaction zone through the application of temperatures below the freezing point of the desired isotope to a second reaction zone that is connected to the first reaction zone. Specifically, a method is presented for producing isotopically enriched compounds of xenon, including the radioactive isotope Xe-131m and the stable isotope Xe-131.
Classification VIA Information-Theoretic Fusion of Vector-Magnetic and Acoustic Sensor Data
2007-04-01
10) where tBsBtBsBtBsBtsB zzyyxx, . (11) The operation in (10) may be viewed as a vector matched- filter on to estimate )(tB CPARv . In summary...choosing to maximize the classification information in Y are described in Section 3.2. A 3.2. Maximum mutual information ( MMI ) features We begin with a...review of several desirable properties of features that maximize a mutual information ( MMI ) criterion. Then we review a particular algorithm [2
Pécoud, P; Pralong, F; Bauquis, O; Stiefel, F
2011-02-16
Gender identity disorder is defined as a permanent desire to relieve one's own sexual features to acquire the sexual features and line to life of the opposite sex. The diagnosis is based on the psychiatric evaluation and treatment on an interdisciplinary approach by endocrinologists, surgeons and psychiatrists, and can be conceptualized into distinct phases: diagnostic evaluation, real life experience, hormonal treatment and surgery. Multiples challenges have to be faced, especially by the psychiatrist who follows the patient during the whole process.
Design and development of electric vehicle charging station equipped with RFID
NASA Astrophysics Data System (ADS)
Panatarani, C.; Murtaddo, D.; Maulana, D. W.; Irawan, S.; Joni, I. M.
2016-02-01
This paper reports the development of electric charging station from distributed renewable for electric vehicle (EV). This designed refer to the input voltage standard of IEC 61851, plugs features of IEC 62196 and standard communication of ISO 15118. The developed electric charging station used microcontroller ATMEGA8535 and RFID as controller and identifier of the EV users, respectively. The charging station successfully developed as desired features for electric vehicle from renewable energy resources grid with solar panel, wind power and batteries storage.
14 CFR 171.27 - Performance requirements.
Code of Federal Regulations, 2010 CFR
2010-01-01
...” (Annex 10 to the Convention on International Civil Aviation), except that identification by on-off keying... electronic engineering practices for the desired service. (c) Ground inspection consists of an examination of the design features of the equipment to determine (based on recognized and accepted good engineering...
High-performance camera module for fast quality inspection in industrial printing applications
NASA Astrophysics Data System (ADS)
Fürtler, Johannes; Bodenstorfer, Ernst; Mayer, Konrad J.; Brodersen, Jörg; Heiss, Dorothea; Penz, Harald; Eckel, Christian; Gravogl, Klaus; Nachtnebel, Herbert
2007-02-01
Today, printing products which must meet highest quality standards, e.g., banknotes, stamps, or vouchers, are automatically checked by optical inspection systems. Typically, the examination of fine details of the print or security features demands images taken from various perspectives, with different spectral sensitivity (visible, infrared, ultraviolet), and with high resolution. Consequently, the inspection system is equipped with several cameras and has to cope with an enormous data rate to be processed in real-time. Hence, it is desirable to move image processing tasks into the camera to reduce the amount of data which has to be transferred to the (central) image processing system. The idea is to transfer relevant information only, i.e., features of the image instead of the raw image data from the sensor. These features are then further processed. In this paper a color line-scan camera for line rates up to 100 kHz is presented. The camera is based on a commercial CMOS (complementary metal oxide semiconductor) area image sensor and a field programmable gate array (FPGA). It implements extraction of image features which are well suited to detect print flaws like blotches of ink, color smears, splashes, spots and scratches. The camera design and several image processing methods implemented on the FPGA are described, including flat field correction, compensation of geometric distortions, color transformation, as well as decimation and neighborhood operations.
Içten, Elçin; Giridhar, Arun; Nagy, Zoltan K; Reklaitis, Gintaras V
2016-04-01
The features of a drop-on-demand-based system developed for the manufacture of melt-based pharmaceuticals have been previously reported. In this paper, a supervisory control system, which is designed to ensure reproducible production of high quality of melt-based solid oral dosages, is presented. This control system enables the production of individual dosage forms with the desired critical quality attributes: amount of active ingredient and drug morphology by monitoring and controlling critical process parameters, such as drop size and product and process temperatures. The effects of these process parameters on the final product quality are investigated, and the properties of the produced dosage forms characterized using various techniques, such as Raman spectroscopy, optical microscopy, and dissolution testing. A crystallization temperature control strategy, including controlled temperature cycles, is presented to tailor the crystallization behavior of drug deposits and to achieve consistent drug morphology. This control strategy can be used to achieve the desired bioavailability of the drug by mitigating variations in the dissolution profiles. The supervisor control strategy enables the application of the drop-on-demand system to the production of individualized dosage required for personalized drug regimens.
Gruber, Steffen; Schwab, Helmut; Koefinger, Petra
2015-12-25
The Gram-negative bacterium Escherichia coli is currently the most efficient and widely used prokaryotic host for recombinant protein and metabolite production. However, due to some limitations and to various interesting features of other Gram-negative bacteria efficient vector systems applicable to a broad range are desired. Basic building blocks for plasmid-based vectors include besides the need for a suitable selection marker in the first line a proper replication and maintenance system. In addition to these basic requirements, further elements are needed for Gram-negative bacteria beyond E. coli, such as Pseudomonas pudita, Ralstonia eutropha, Burkholderia glumae or Acinetobacter sp.. Established building blocks have to be adapted and new building blocks providing the desired functions need to be identified and exploited. This minireview addresses so far described and used genetic elements for broad host range replication, efficient plasmid maintenance, and conjugative plasmid transfer as well as expression elements and protein secretion signals. The industrially important bacterium R. eutropha H16 was chosen as a model organism to provide specific data on the effectivity and utility of building blocks based on such genetic elements. Copyright © 2015 Elsevier B.V. All rights reserved.
Evaluation of verifiability in HAL/S. [programming language for aerospace computers
NASA Technical Reports Server (NTRS)
Young, W. D.; Tripathi, A. R.; Good, D. I.; Browne, J. C.
1979-01-01
The ability of HAL/S to write verifiable programs, a characteristic which is highly desirable in aerospace applications, is lacking since many of the features of HAL/S do not lend themselves to existing verification techniques. The methods of language evaluation are described along with the means in which language features are evaluated for verifiability. These methods are applied in this study to various features of HAL/S to identify specific areas in which the language fails with respect to verifiability. Some conclusions are drawn for the design of programming languages for aerospace applications and ongoing work to identify a verifiable subset of HAL/S is described.
Mori, Nagisa; Asakura, Keiko; Sasaki, Satoshi
2016-01-01
The strong social pressure for thinness in Japanese society has produced a dramatic increase in underweight (body mass index: <18.5 kg/m2) among young women. Being underweight is associated with several negative health outcomes, including nutritional deficiency, osteoporosis, and unfavourable pregnancy outcomes. However, evidence which would help deal with this problem from a public health perspective is scarce. Here, we aimed to identify the dietary characteristics of underweight female university students, particularly those with a desire for thinness. Data on dietary habits and other lifestyle variables, including the desire for thinness, were obtained through a self-administered questionnaire survey conducted at 54 academic institutions in Japan, from which we selected 3634 female students for analysis. The subjects were divided into three groups of normal weight (84.3%), and underweight with (6.4%) or without (9.3%) a desire for thinness. After adjusting for potential confounders, the underweight subjects with a desire for thinness consumed less cereal and rice, whereas those without a desire for thinness consumed more cereal and rice than the normal weight subjects. In addition, those without a desire for thinness consumed less confectionaries, including candies and ice cream, and less fats and oils than the normal weight subjects. These results suggest that dietary habits differ between underweight women with and without a desire for thinness. Although both groups require nutritional education to maintain appropriate body weight, underweight women with a desire for thinness require particular attention to improve recognition of their constitution and dietary habits.
Anderson, Melinda C; Arehart, Kathryn H; Souza, Pamela E
2018-02-01
Current guidelines for adult hearing aid fittings recommend the use of a prescriptive fitting rationale with real-ear verification that considers the audiogram for the determination of frequency-specific gain and ratios for wide dynamic range compression. However, the guidelines lack recommendations for how other common signal-processing features (e.g., noise reduction, frequency lowering, directional microphones) should be considered during the provision of hearing aid fittings and fine-tunings for adult patients. The purpose of this survey was to identify how audiologists make clinical decisions regarding common signal-processing features for hearing aid provision in adults. An online survey was sent to audiologists across the United States. The 22 survey questions addressed four primary topics including demographics of the responding audiologists, factors affecting selection of hearing aid devices, the approaches used in the fitting of signal-processing features, and the strategies used in the fine-tuning of these features. A total of 251 audiologists who provide hearing aid fittings to adults completed the electronically distributed survey. The respondents worked in a variety of settings including private practice, physician offices, university clinics, and hospitals/medical centers. Data analysis was based on a qualitative analysis of the question responses. The survey results for each of the four topic areas (demographics, device selection, hearing aid fitting, and hearing aid fine-tuning) are summarized descriptively. Survey responses indicate that audiologists vary in the procedures they use in fitting and fine-tuning based on the specific feature, such that the approaches used for the fitting of frequency-specific gain differ from other types of features (i.e., compression time constants, frequency lowering parameters, noise reduction strength, directional microphones, feedback management). Audiologists commonly rely on prescriptive fitting formulas and probe microphone measures for the fitting of frequency-specific gain and rely on manufacturers' default settings and recommendations for both the initial fitting and the fine-tuning of signal-processing features other than frequency-specific gain. The survey results are consistent with a lack of published protocols and guidelines for fitting and adjusting signal-processing features beyond frequency-specific gain. To streamline current practice, a transparent evidence-based tool that enables clinicians to prescribe the setting of other features from individual patient characteristics would be desirable. American Academy of Audiology
Characterization of the heat transfer properties of thermal interface materials
NASA Astrophysics Data System (ADS)
Fullem, Travis Z.
Physicists have studied the thermal conductivity of solids for decades. As a result of these efforts, thermal conduction in crystalline solids is well understood; there are detailed theories describing thermal conduction due to electrons and phonons. Phonon scattering and transmission at solid/solid interfaces, particularly above cryogenic temperatures, is not well understood and more work is needed in this area. The desire to solve engineering problems which require good thermal contact between mating surfaces has provided enhanced motivation for furthering the state of the art on this topic. Effective thermal management is an important design consideration in microelectronic systems. A common technique for removing excess heat from an electronic device is to attach a heatsink to the device; it is desirable to minimize the thermal resistance between the device and the heatsink. This can be accomplished by placing a thermal interface material (TIM) between the two surfaces. Due to the ever-increasing power densities found in electronic components, there is a desire to design better TIMs, which necessitates the ability to characterize TIM bondlines and to better understand the physics of heat conduction through TIM bondlines. A micro Fourier apparatus which employs Pt thin film thermometers of our design has been built and is capable of precisely quantifying the thermal resistance of thermal interface materials. In the present work several types of commercially available TIMs have been studied using this apparatus, including: greases, filled epoxies, and thermally conductive pads. In the case of filled epoxies, bondlines of various thicknesses, ranging from thirty microns to several hundred microns, have been measured. The microstructure of these bondlines has been investigated using optical microscopy and acoustic microscopy. Measured values of thermal conductivity are considered in terms of microstructural features such as percolation networks and filler particle depleted regions at the interface between the TIM and the substrate. The extent to which depleted regions contribute to the interfacial resistance is examined. The relationship between electrical and thermal resistance of the TIM bondline is considered in the context of comparing the relative contribution of electron and phonon heat conduction and how this correlates to microstructural features.
Evolution of optically nondestructive and data-non-intrusive credit card verifiers
NASA Astrophysics Data System (ADS)
Sumriddetchkajorn, Sarun; Intaravanne, Yuttana
2010-04-01
Since the deployment of the credit card, the number of credit card fraud cases has grown rapidly with a huge amount of loss in millions of US dollars. Instead of asking more information from the credit card's holder or taking risk through payment approval, a nondestructive and data-non-intrusive credit card verifier is highly desirable before transaction begins. In this paper, we review optical techniques that have been proposed and invented in order to make the genuine credit card more distinguishable than the counterfeit credit card. Several optical approaches for the implementation of credit card verifiers are also included. In particular, we highlight our invention on a hyperspectral-imaging based portable credit card verifier structure that offers a very low false error rate of 0.79%. Other key features include low cost, simplicity in design and implementation, no moving part, no need of an additional decoding key, and adaptive learning.
Centralization of dairy farming facilities for improved economics and environmental quality.
Inaba, Rokuta; Furuichi, Tohru; Komatsu, Toshihiro; Tanikawa, Noboru; Ishii, Kazuei
2009-01-01
In Japan, most farm animal excreta has been stored directly on farmland. Runoff from this storage has often caused water pollution. Biogasification is anticipated as an important technology to manage excreta properly, but complex problems hinder its introduction. Economic aspects of management have been especially difficult for dairy farmers. For this study, structural problems regarding introduction of biogasification into dairy farming were identified. Subsequently, a desirable system of dairy farming including biogasification was suggested, and an evaluation model of the financial balance was constructed. A case study using current financial balances of several systems of dairy farming was evaluated using the constructed model and actual data. The systems were based on several policy alternatives including the suggested system mentioned above. Results show that a farmer can obtain sufficient income from a system featuring centralization of dairy housing and biogasification facilities and coordinated management by over six farmers.
Titan I propulsion system modeling and possible performance improvements
NASA Astrophysics Data System (ADS)
Giusti, Oreste
This thesis features the Titan I propulsion systems and offers data-supported suggestions for improvements to increase performance. The original propulsion systems were modeled both graphically in CAD and via equations. Due to the limited availability of published information, it was necessary to create a more detailed, secondary set of models. Various engineering equations---pertinent to rocket engine design---were implemented in order to generate the desired extra detail. This study describes how these new models were then imported into the ESI CFD Suite. Various parameters are applied to these imported models as inputs that include, for example, bi-propellant combinations, pressure, temperatures, and mass flow rates. The results were then processed with ESI VIEW, which is visualization software. The output files were analyzed for forces in the nozzle, and various results were generated, including sea level thrust and ISP. Experimental data are provided to compare the original engine configuration models to the derivative suggested improvement models.
NASA Astrophysics Data System (ADS)
Goldston, Robert; Brooks, Jeffrey; Hubbard, Amanda; Leonard, Anthony; Lipschultz, Bruce; Maingi, Rajesh; Ulrickson, Michael; Whyte, Dennis
2009-11-01
The plasma facing components in a Demo reactor will face much more extreme boundary plasma conditions and operating requirements than any present or planned experiment. These include 1) Power density a factor of four or more greater than in ITER, 2) Continuous operation resulting in annual energy and particle throughput 100-200 times larger than ITER, 3) Elevated surface operating temperature for efficient electricity production, 4) Tritium fuel cycle control for safety and breeding requirements, and 5) Steady state plasma confinement and control. Consistent with ReNeW Thrust 12, design options are being explored for a new moderate-scale facility to assess core-edge interaction issues and solutions. Key desired features include high power density, sufficient pulse length and duty cycle, elevated wall temperature, steady-state control of an optimized core plasma, and flexibility in changing boundary components as well as access for comprehensive measurements.
Stimulated Raman adiabatic control of a nuclear spin in diamond
NASA Astrophysics Data System (ADS)
Coto, Raul; Jacques, Vincent; Hétet, Gabriel; Maze, Jerónimo R.
2017-08-01
Coherent manipulation of nuclear spins is a highly desirable tool for both quantum metrology and quantum computation. However, most of the current techniques to control nuclear spins lack fast speed, impairing their robustness against decoherence. Here, based on stimulated Raman adiabatic passage, and its modification including shortcuts to adiabaticity, we present a fast protocol for the coherent manipulation of nuclear spins. Our proposed Λ scheme is implemented in the microwave domain and its excited-state relaxation can be optically controlled through an external laser excitation. These features allow for the initialization of a nuclear spin starting from a thermal state. Moreover we show how to implement Raman control for performing Ramsey spectroscopy to measure the dynamical and geometric phases acquired by nuclear spins.
Emerging Applications of Liquid Metals Featuring Surface Oxides
2014-01-01
Gallium and several of its alloys are liquid metals at or near room temperature. Gallium has low toxicity, essentially no vapor pressure, and a low viscosity. Despite these desirable properties, applications calling for liquid metal often use toxic mercury because gallium forms a thin oxide layer on its surface. The oxide interferes with electrochemical measurements, alters the physicochemical properties of the surface, and changes the fluid dynamic behavior of the metal in a way that has, until recently, been considered a nuisance. Here, we show that this solid oxide “skin” enables many new applications for liquid metals including soft electrodes and sensors, functional microcomponents for microfluidic devices, self-healing circuits, shape-reconfigurable conductors, and stretchable antennas, wires, and interconnects. PMID:25283244
Geometry modeling and multi-block grid generation for turbomachinery configurations
NASA Technical Reports Server (NTRS)
Shih, Ming H.; Soni, Bharat K.
1992-01-01
An interactive 3D grid generation code, Turbomachinery Interactive Grid genERation (TIGER), was developed for general turbomachinery configurations. TIGER features the automatic generation of multi-block structured grids around multiple blade rows for either internal, external, or internal-external turbomachinery flow fields. Utilization of the Bezier's curves achieves a smooth grid and better orthogonality. TIGER generates the algebraic grid automatically based on geometric information provided by its built-in pseudo-AI algorithm. However, due to the large variation of turbomachinery configurations, this initial grid may not always be as good as desired. TIGER therefore provides graphical user interactions during the process which allow the user to design, modify, as well as manipulate the grid, including the capability of elliptic surface grid generation.
Design Evolutuion of Hot Isotatic Press Cans for NTP Cermet Fuel Fabrication
NASA Technical Reports Server (NTRS)
Mireles, O. R.; Broadway, J.; Hickman, R.
2014-01-01
Nuclear Thermal Propulsion (NTP) is under consideration for potential use in deep space exploration missions due to desirable performance properties such as a high specific impulse (> 850 seconds). Tungsten (W)-60vol%UO2 cermet fuel elements are under development, with efforts emphasizing fabrication, performance testing and process optimization to meet NTP service life requirements [1]. Fuel elements incorporate design features that provide redundant protection from crack initiation, crack propagation potentially resulting in hot hydrogen (H2) reduction of UO2 kernels. Fuel erosion and fission product retention barriers include W coated UO2 fuel kernels, W clad internal flow channels and fuel element external W clad resulting in a fully encapsulated fuel element design as shown.
Artificial Structural Color Pixels: A Review
Zhao, Yuqian; Zhao, Yong; Hu, Sheng; Lv, Jiangtao; Ying, Yu; Gervinskas, Gediminas; Si, Guangyuan
2017-01-01
Inspired by natural photonic structures (Morpho butterfly, for instance), researchers have demonstrated varying artificial color display devices using different designs. Photonic-crystal/plasmonic color filters have drawn increasing attention most recently. In this review article, we show the developing trend of artificial structural color pixels from photonic crystals to plasmonic nanostructures. Such devices normally utilize the distinctive optical features of photonic/plasmon resonance, resulting in high compatibility with current display and imaging technologies. Moreover, dynamical color filtering devices are highly desirable because tunable optical components are critical for developing new optical platforms which can be integrated or combined with other existing imaging and display techniques. Thus, extensive promising potential applications have been triggered and enabled including more abundant functionalities in integrated optics and nanophotonics. PMID:28805736
Data Analysis of the Gated-LEH X-Ray Imaging Diagnostic at the NIF
NASA Astrophysics Data System (ADS)
Thibodeau, Matthew; Chen, Hui
2017-10-01
The Gated Laser Entrance Hole (G-LEH) x-ray imaging diagnostic in use at the NIF offers a desirable combination of spatial and temporal resolution. By looking inside of NIF hohlraums with time resolution, G-LEH measures target features including LEH size and capsule size. A framework is presented for automated and systematic analysis of G-LEH images that measures several physical parameters of interest and their evolution over time. The results from these analyses enable comparisons with hohlraum models and allow model validation of LEH closure velocity and the extent of capsule blow-off. This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344.
DOT National Transportation Integrated Search
2000-06-01
Micro-scale design (MSD) is a term that has been coined recently by transportation and land use planners to describe the human-scale features of the built environment. This concept focuses on accessibility to desired activities rather than on mobilit...
A Scaled-Projective Measure of Interpersonal Values
ERIC Educational Resources Information Center
Kilmann, Ralph H.
1975-01-01
The Kilmann Insight Test is a measure of the interpersonal value constructs. That is how the individual perceives and interprets the desirable and undesirable features of interpersonal behavior. The validity of the test is investigated by explaining its relationship to a self-report measure assessing similar values. (DEP)
Matroshka AstroRad Radiation Experiment (MARE) on the Deep Space Gateway
NASA Astrophysics Data System (ADS)
Gaza, R.; Hussein, H.; Murrow, D.; Hopkins, J.; Waterman, G.; Milstein, O.; Berger, T.; Przybyla, B.; Aeckerlein, J.; Marsalek, K.; Matthiae, D.; Rutczynska, A.
2018-02-01
The Matroshka AstroRad Radiation Experiment is a science payload on Orion EM-1 flight. A research platform derived from MARE is proposed for the Deep Space Gateway. Feedback is invited on desired Deep Space Gateway design features to maximize its science potential.
Genetic Engineering of Mesenchymal Stem Cells for Regenerative Medicine.
Nowakowski, Adam; Walczak, Piotr; Janowski, Miroslaw; Lukomska, Barbara
2015-10-01
Mesenchymal stem cells (MSCs), which can be obtained from various organs and easily propagated in vitro, are one of the most extensively used types of stem cells and have been shown to be efficacious in a broad set of diseases. The unique and highly desirable properties of MSCs include high migratory capacities toward injured areas, immunomodulatory features, and the natural ability to differentiate into connective tissue phenotypes. These phenotypes include bone and cartilage, and these properties predispose MSCs to be therapeutically useful. In addition, MSCs elicit their therapeutic effects by paracrine actions, in which the metabolism of target tissues is modulated. Genetic engineering methods can greatly amplify these properties and broaden the therapeutic capabilities of MSCs, including transdifferentiation toward diverse cell lineages. However, cell engineering can also affect safety and increase the cost of therapy based on MSCs; thus, the advantages and disadvantages of these procedures should be discussed. In this review, the latest applications of genetic engineering methods for MSCs with regenerative medicine purposes are presented.
Rethinking monogamy's nature: From the truth of non/monogamy to a dyke ethics of "antimonogamy".
Willey, Angela
2018-04-03
Following Lynne Huffer's work on queer feminism, this abridged essay centers the figure of the lesbian in order to develop a dyke ethics that engenders nuanced thinking about both monogamy and embodiment. The essay reads Alison Bechdel's comic strip, Dykes to Watch Out For, to elaborate a "dyke ethics of anti-monogamy." Grounded in notions of friendship, community, and social justice, this ethics decenters the sexual dyad in a way that polyamory does not. It also insists upon a theoretical and ethical disposition of respect for the simultaneously political and embodied nature of desire. In so doing, it offers first a way of re-thinking the story of monogamy's nature as a naturecultural tale about mononormative desire and further places that desire in a field of relationality that renders its significance as a feature of humanness and an object of scientific inquiry strange.
Selecting Power-Efficient Signal Features for a Low-Power Fall Detector.
Wang, Changhong; Redmond, Stephen J; Lu, Wei; Stevens, Michael C; Lord, Stephen R; Lovell, Nigel H
2017-11-01
Falls are a serious threat to the health of older people. A wearable fall detector can automatically detect the occurrence of a fall and alert a caregiver or an emergency response service so they may deliver immediate assistance, improving the chances of recovering from fall-related injuries. One constraint of such a wearable technology is its limited battery life. Thus, minimization of power consumption is an important design concern, all the while maintaining satisfactory accuracy of the fall detection algorithms implemented on the wearable device. This paper proposes an approach for selecting power-efficient signal features such that the minimum desirable fall detection accuracy is assured. Using data collected in simulated falls, simulated activities of daily living, and real free-living trials, all using young volunteers, the proposed approach selects four features from a set of ten commonly used features, providing a power saving of 75.3%, while limiting the error rate of a binary classification decision tree fall detection algorithm to 7.1%.Falls are a serious threat to the health of older people. A wearable fall detector can automatically detect the occurrence of a fall and alert a caregiver or an emergency response service so they may deliver immediate assistance, improving the chances of recovering from fall-related injuries. One constraint of such a wearable technology is its limited battery life. Thus, minimization of power consumption is an important design concern, all the while maintaining satisfactory accuracy of the fall detection algorithms implemented on the wearable device. This paper proposes an approach for selecting power-efficient signal features such that the minimum desirable fall detection accuracy is assured. Using data collected in simulated falls, simulated activities of daily living, and real free-living trials, all using young volunteers, the proposed approach selects four features from a set of ten commonly used features, providing a power saving of 75.3%, while limiting the error rate of a binary classification decision tree fall detection algorithm to 7.1%.
PET and MRI image fusion based on combination of 2-D Hilbert transform and IHS method.
Haddadpour, Mozhdeh; Daneshvar, Sabalan; Seyedarabi, Hadi
2017-08-01
The process of medical image fusion is combining two or more medical images such as Magnetic Resonance Image (MRI) and Positron Emission Tomography (PET) and mapping them to a single image as fused image. So purpose of our study is assisting physicians to diagnose and treat the diseases in the least of the time. We used Magnetic Resonance Image (MRI) and Positron Emission Tomography (PET) as input images, so fused them based on combination of two dimensional Hilbert transform (2-D HT) and Intensity Hue Saturation (IHS) method. Evaluation metrics that we apply are Discrepancy (D k ) as an assessing spectral features and Average Gradient (AG k ) as an evaluating spatial features and also Overall Performance (O.P) to verify properly of the proposed method. In this paper we used three common evaluation metrics like Average Gradient (AG k ) and the lowest Discrepancy (D k ) and Overall Performance (O.P) to evaluate the performance of our method. Simulated and numerical results represent the desired performance of proposed method. Since that the main purpose of medical image fusion is preserving both spatial and spectral features of input images, so based on numerical results of evaluation metrics such as Average Gradient (AG k ), Discrepancy (D k ) and Overall Performance (O.P) and also desired simulated results, it can be concluded that our proposed method can preserve both spatial and spectral features of input images. Copyright © 2017 Chang Gung University. Published by Elsevier B.V. All rights reserved.
US Topo: topographic maps for the nation
Carswell, William J.
2013-01-01
US Topo is the next generation of topographic maps from the U.S. Geological Survey (USGS). Arranged in the familiar 7.5-minute quadrangle format, digital US Topo maps are designed to look and feel (and perform) like the traditional paper topographic maps for which the USGS is so well known. In contrast to paper-based maps, US Topo maps provide modern technical advantages that support faster, wider public distribution and enable basic, on-screen geographic analysis for all users. The US Topo quadrangle map has been redesigned so that map elements are visually distinguishable with the imagery turned on and off, while keeping the file size as small as possible. The US Topo map redesign includes improvements to various display factors, including symbol definitions (color, line thickness, line symbology, area fills), layer order, and annotation fonts. New features for 2013 include the following: a raster shaded relief layer, military boundaries, cemeteries and post offices, and a US Topo cartographic symbols legend as an attachment. US Topo quadrangle maps are available free on the Web. Each map quadrangle is constructed in GeoPDF® format using key layers of geographic data (orthoimagery, roads, geographic names, topographic contours, and hydrographic features) from The National Map databases. US Topo quadrangle maps can be printed from personal computers or plotters as complete, full-sized, maps or in customized sections, in a user-desired specific format. Paper copies of the maps can also be purchased from the USGS Store. Download links and a users guide are featured on the US Topo Web site. US Topo users can turn geographic data layers on and off as needed; they can zoom in and out to highlight specific features or see a broader area. File size for each digital 7.5-minute quadrangle, about 30 megabytes. Associated electronic tools for geographic analysis are available free for download. The US Topo provides the Nation with a topographic product that users can quickly incorporate into decisionmaking, operational or recreational activities.
VISUAL PLUMES CONCEPTS TO POTENTIALLY ADAPT OR ADOPT IN MODELING PLATFORMS SUCH AS VISJET
Windows-based programs share many familiar features and components. For example, file dialogue windows are familiar to most Windows-based personal computer users. Such program elements are desirable because the user is already familiar with how they function, obviating the need f...
ERIC Educational Resources Information Center
Hadfield, Jill; Hadfield, Charles
2006-01-01
At a time when the term "property porn" makes its way onto the pages of the newest dictionaries ("a genre of escapist TV programmes, magazine features etc, showing desirable properties for sale, especially those in idyllic locations, or in need of renovation, or both"; Collins Dictionary 2005 edition), we thought it would be…
NATAL-74; Towards a Common Programming Language for CAL.
ERIC Educational Resources Information Center
Brahan, J. W.; Colpitts, B. A.
NATAL-74 is a programing language designed for Canadian computer aided learning (CAL) programs. The language has two fundamental elements: the UNIT provides the interface between the student and the subject matter, and the PROCEDURE element embodies teaching strategy. Desirable features of several programing languages have been adapted to cope…
ERIC Educational Resources Information Center
Bahr, Ellen
2007-01-01
What would technological librarians like to see in the next generation of Integrated Library Systems (ILS)? This question was asked of several well- known library technology experts, and their responses are presented in this article. Survey respondents expressed a clear desire for the following features and functionality: (1) Direct, read-only…
The Expansive Executive. Report Number 147. Second Edition.
ERIC Educational Resources Information Center
Kaplan, Robert E.
This report seeks to understand executive leadership by focusing on a character type called "expansive." Expansive character revolves around mastery of tasks and a continual desire to accomplish. In the report, several goals are featured: to define what expansive character is; to discuss its origins; to show how moderate versus extreme…
30 CFR 36.12 - Changes after certification.
Code of Federal Regulations, 2010 CFR
2010-07-01
... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Changes after certification. 36.12 Section 36... TRANSPORTATION EQUIPMENT General Provisions § 36.12 Changes after certification. If an applicant desires to change any feature of certified equipment, he shall first obtain MSHA's approval of the change, pursuant...
Situational Influences on Reactions to Observed Violence.
ERIC Educational Resources Information Center
Berkowitz, Leonard
1986-01-01
Examines data on what situational factors influence people's desire to view violent television programming. Surveys research on the effects on viewer's behavior of the presence of other observers, the nature of the available target, situational features operating as retrieval cues, the viewers' interpretations of the violent scenes, and the…
Apparatus Would Position Bright Spot On Projection Screen
NASA Technical Reports Server (NTRS)
Rayman, Marc D.
1996-01-01
Proposed apparatus aims beam of visible light at wavelength lambda(2) to create bright spot at desired position in image on projection screen. Intended to replace handheld laser and flashlight pointers lecturers sometimes use to indicate features in projected images. Beam of light cannot be inadvertently aimed toward audience.
Mitchell, Ellen Sullivan; Smith-Di Julio, Kathy
2010-01-01
Abstract Aims To describe levels of sexual desire across the menopausal transition (MT) and early postmenopause (PM), including effects of age, MT-related factors, health, stress, symptoms (hot flash, sleep, mood), and social opportunity factors. Methods A subset of Seattle Midlife Women's Health Study (SMWHS) participants who provided data during the early reproductive, early and late menopausal transition stages, or postmenopause (n = 286), including menstrual calendars for staging the MT, annual health reports between 1990 and 2005, and morning urine samples assayed for estrone glucuronide (E1G), testosterone (T), and follicle-stimulating hormone (FSH) was included. Multilevel modeling using the R program was used to test factors related to sexual desire. Results Women experienced a significant decrease in sexual desire during the late MT stage (p < 0.01) and early PM (p < 0.0001). Those with higher urinary E1G and T reported significantly higher levels of sexual desire, whereas those with higher FSH levels reported significantly lower sexual desire (p < 0.0001, 0.06, and 0.0002, respectively). Women using hormone therapy also reported higher sexual desire (p = 0.02). Those reporting higher perceived stress reported lower sexual desire (p < 0.0001), but history of sexual abuse did not have a significant effect. Those most troubled by symptoms of hot flashes, fatigue, depressed mood, anxiety, difficulty getting to sleep, early morning awakening, and awakening during the night also reported significantly lower sexual desire (p range from <0.03 to 0.0001), but there was no effect of vaginal dryness. Women with better perceived health reported higher sexual desire (p < 0.0001), and those reporting more exercise and more alcohol intake also reported greater sexual desire (p < 0.0001). Having a partner was associated with lower sexual desire. Conclusions Clinicians working with women traversing the MT should be aware that promoting healthy sexual functioning among midlife women requires consideration of their changing biology as well as ongoing life challenges. PMID:20109116
Methods of blood flow measurement in the arterial circulatory system.
Tabrizchi, R; Pugsley, M K
2000-01-01
The most commonly employed techniques for the in vivo measurement of arterial blood flow to individual organs involve the use of flow probes or sensors. Commercially available systems for the measurement of in vivo blood flow can be divided into two categories: ultrasonic and electromagnetic. Two types of ultrasonic probes are used. The first type of flow probe measures blood flow-mediated Doppler shifts (Doppler flowmetry) in a vessel. The second type of flow probe measures the "transit time" required by an emitted ultrasound wave to traverse the vessel and are transit-time volume flow sensors. Measurement of blood flow in any vessel requires that the flow probe or sensor be highly accurate and exhibit signal linearity over the flow range in the vessel of interest. Moreover, additional desirable features include compact design, size, and weight. An additional important feature for flow probes is that they exhibit good biocompatability; it is imperative for the sensor to behave in an inert manner towards the biological system. A sensitive and reliable method to assess blood flow in individual organs in the body, other than by the use of probes/sensors, is the reference sample method that utilizes hematogeneously delivered microspheres. This method has been utilized to a large extend to assess regional blood flow in the entire body. Obviously, the purpose of measuring blood flow is to determine the amount of blood delivered to a given region per unit time (milliliters per minute) and it is desirable to achieve this goal by noninvasive methodologies. This, however, is not always possible. This review attempts to offer an overview of some of the techniques available for the assessment of regional blood flow in the arterial circulatory system and discusses advantages and disadvantages of these common techniques.
Raul, Pramod R; Pagilla, Prabhakar R
2015-05-01
In this paper, two adaptive Proportional-Integral (PI) control schemes are designed and discussed for control of web tension in Roll-to-Roll (R2R) manufacturing systems. R2R systems are used to transport continuous materials (called webs) on rollers from the unwind roll to the rewind roll. Maintaining web tension at the desired value is critical to many R2R processes such as printing, coating, lamination, etc. Existing fixed gain PI tension control schemes currently used in industrial practice require extensive tuning and do not provide the desired performance for changing operating conditions and material properties. The first adaptive PI scheme utilizes the model reference approach where the controller gains are estimated based on matching of the actual closed-loop tension control systems with an appropriately chosen reference model. The second adaptive PI scheme utilizes the indirect adaptive control approach together with relay feedback technique to automatically initialize the adaptive PI gains. These adaptive tension control schemes can be implemented on any R2R manufacturing system. The key features of the two adaptive schemes is that their designs are simple for practicing engineers, easy to implement in real-time, and automate the tuning process. Extensive experiments are conducted on a large experimental R2R machine which mimics many features of an industrial R2R machine. These experiments include trials with two different polymer webs and a variety of operating conditions. Implementation guidelines are provided for both adaptive schemes. Experimental results comparing the two adaptive schemes and a fixed gain PI tension control scheme used in industrial practice are provided and discussed. Copyright © 2014 ISA. Published by Elsevier Ltd. All rights reserved.
Integration of advanced teleoperation technologies for control of space robots
NASA Technical Reports Server (NTRS)
Stagnaro, Michael J.
1993-01-01
Teleoperated robots require one or more humans to control actuators, mechanisms, and other robot equipment given feedback from onboard sensors. To accomplish this task, the human or humans require some form of control station. Desirable features of such a control station include operation by a single human, comfort, and natural human interfaces (visual, audio, motion, tactile, etc.). These interfaces should work to maximize performance of the human/robot system by streamlining the link between human brain and robot equipment. This paper describes development of a control station testbed with the characteristics described above. Initially, this testbed will be used to control two teleoperated robots. Features of the robots include anthropomorphic mechanisms, slaving to the testbed, and delivery of sensory feedback to the testbed. The testbed will make use of technologies such as helmet mounted displays, voice recognition, and exoskeleton masters. It will allow tor integration and testing of emerging telepresence technologies along with techniques for coping with control link time delays. Systems developed from this testbed could be applied to ground control of space based robots. During man-tended operations, the Space Station Freedom may benefit from ground control of IVA or EVA robots with science or maintenance tasks. Planetary exploration may also find advanced teleoperation systems to be very useful.
Bergdall, Anna R; Kraft, Joan Marie; Andes, Karen; Carter, Marion; Hatfield-Timajchy, Kendra; Hock-Long, Linda
2012-01-01
Communication technology is a central feature of young people's lives, but its role in romantic and sexual relationships has not been thoroughly examined. This article describes how young adults use communication technology for partnering across relationship stages (formation, maintenance, and dissolution) and types (serious/casual), and proposes implications of usage in relationships. This study analyzed qualitative data from a five-week, prospective, coital diary method with related debriefing interviews (N = 70) of African American and Puerto Rican men and women aged 18 to 25 years in Hartford and Philadelphia. Cell phones, including calls, text messaging, and mobile Internet, were the most common forms of communication technology used for partnering goals. Participants reported using cell phones to pursue partnering goals across all relationship stages, including formation (meeting, screening, and getting to know new partners), maintaining existing relationships, and breaking up. Cell phone uses depended on the type of relationship (serious/casual) and the participants' intentions and desires. Results indicated that cell phones are an important element of communication among young adults in romantic and sexual relationships. Specific features of cell phone communication shape the process and context of partnering. Future research should explore emerging communication technologies and implications for psychosocial development, dating violence, and sexual behavior.
Functional mesoporous silica nanoparticles for bio-imaging applications.
Cha, Bong Geun; Kim, Jaeyun
2018-03-22
Biomedical investigations using mesoporous silica nanoparticles (MSNs) have received significant attention because of their unique properties including controllable mesoporous structure, high specific surface area, large pore volume, and tunable particle size. These unique features make MSNs suitable for simultaneous diagnosis and therapy with unique advantages to encapsulate and load a variety of therapeutic agents, deliver these agents to the desired location, and release the drugs in a controlled manner. Among various clinical areas, nanomaterials-based bio-imaging techniques have advanced rapidly with the development of diverse functional nanoparticles. Due to the unique features of MSNs, an imaging agent supported by MSNs can be a promising system for developing targeted bio-imaging contrast agents with high structural stability and enhanced functionality that enable imaging of various modalities. Here, we review the recent achievements on the development of functional MSNs for bio-imaging applications, including optical imaging, magnetic resonance imaging (MRI), positron emission tomography (PET), computed tomography (CT), ultrasound imaging, and multimodal imaging for early diagnosis. With further improvement in noninvasive bio-imaging techniques, the MSN-supported imaging agent systems are expected to contribute to clinical applications in the future. This article is categorized under: Diagnostic Tools > In vivo Nanodiagnostics and Imaging Nanotechnology Approaches to Biology > Nanoscale Systems in Biology. © 2018 Wiley Periodicals, Inc.
A feature refinement approach for statistical interior CT reconstruction
NASA Astrophysics Data System (ADS)
Hu, Zhanli; Zhang, Yunwan; Liu, Jianbo; Ma, Jianhua; Zheng, Hairong; Liang, Dong
2016-07-01
Interior tomography is clinically desired to reduce the radiation dose rendered to patients. In this work, a new statistical interior tomography approach for computed tomography is proposed. The developed design focuses on taking into account the statistical nature of local projection data and recovering fine structures which are lost in the conventional total-variation (TV)—minimization reconstruction. The proposed method falls within the compressed sensing framework of TV minimization, which only assumes that the interior ROI is piecewise constant or polynomial and does not need any additional prior knowledge. To integrate the statistical distribution property of projection data, the objective function is built under the criteria of penalized weighed least-square (PWLS-TV). In the implementation of the proposed method, the interior projection extrapolation based FBP reconstruction is first used as the initial guess to mitigate truncation artifacts and also provide an extended field-of-view. Moreover, an interior feature refinement step, as an important processing operation is performed after each iteration of PWLS-TV to recover the desired structure information which is lost during the TV minimization. Here, a feature descriptor is specifically designed and employed to distinguish structure from noise and noise-like artifacts. A modified steepest descent algorithm is adopted to minimize the associated objective function. The proposed method is applied to both digital phantom and in vivo Micro-CT datasets, and compared to FBP, ART-TV and PWLS-TV. The reconstruction results demonstrate that the proposed method performs better than other conventional methods in suppressing noise, reducing truncated and streak artifacts, and preserving features. The proposed approach demonstrates its potential usefulness for feature preservation of interior tomography under truncated projection measurements.
A feature refinement approach for statistical interior CT reconstruction.
Hu, Zhanli; Zhang, Yunwan; Liu, Jianbo; Ma, Jianhua; Zheng, Hairong; Liang, Dong
2016-07-21
Interior tomography is clinically desired to reduce the radiation dose rendered to patients. In this work, a new statistical interior tomography approach for computed tomography is proposed. The developed design focuses on taking into account the statistical nature of local projection data and recovering fine structures which are lost in the conventional total-variation (TV)-minimization reconstruction. The proposed method falls within the compressed sensing framework of TV minimization, which only assumes that the interior ROI is piecewise constant or polynomial and does not need any additional prior knowledge. To integrate the statistical distribution property of projection data, the objective function is built under the criteria of penalized weighed least-square (PWLS-TV). In the implementation of the proposed method, the interior projection extrapolation based FBP reconstruction is first used as the initial guess to mitigate truncation artifacts and also provide an extended field-of-view. Moreover, an interior feature refinement step, as an important processing operation is performed after each iteration of PWLS-TV to recover the desired structure information which is lost during the TV minimization. Here, a feature descriptor is specifically designed and employed to distinguish structure from noise and noise-like artifacts. A modified steepest descent algorithm is adopted to minimize the associated objective function. The proposed method is applied to both digital phantom and in vivo Micro-CT datasets, and compared to FBP, ART-TV and PWLS-TV. The reconstruction results demonstrate that the proposed method performs better than other conventional methods in suppressing noise, reducing truncated and streak artifacts, and preserving features. The proposed approach demonstrates its potential usefulness for feature preservation of interior tomography under truncated projection measurements.
EXhype: A tool for mineral classification using hyperspectral data
NASA Astrophysics Data System (ADS)
Adep, Ramesh Nityanand; shetty, Amba; Ramesh, H.
2017-02-01
Various supervised classification algorithms have been developed to classify earth surface features using hyperspectral data. Each algorithm is modelled based on different human expertises. However, the performance of conventional algorithms is not satisfactory to map especially the minerals in view of their typical spectral responses. This study introduces a new expert system named 'EXhype (Expert system for hyperspectral data classification)' to map minerals. The system incorporates human expertise at several stages of it's implementation: (i) to deal with intra-class variation; (ii) to identify absorption features; (iii) to discriminate spectra by considering absorption features, non-absorption features and by full spectra comparison; and (iv) finally takes a decision based on learning and by emphasizing most important features. It is developed using a knowledge base consisting of an Optimal Spectral Library, Segmented Upper Hull method, Spectral Angle Mapper (SAM) and Artificial Neural Network. The performance of the EXhype is compared with a traditional, most commonly used SAM algorithm using Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) data acquired over Cuprite, Nevada, USA. A virtual verification method is used to collect samples information for accuracy assessment. Further, a modified accuracy assessment method is used to get a real users accuracies in cases where only limited or desired classes are considered for classification. With the modified accuracy assessment method, SAM and EXhype yields an overall accuracy of 60.35% and 90.75% and the kappa coefficient of 0.51 and 0.89 respectively. It was also found that the virtual verification method allows to use most desired stratified random sampling method and eliminates all the difficulties associated with it. The experimental results show that EXhype is not only producing better accuracy compared to traditional SAM but, can also rightly classify the minerals. It is proficient in avoiding misclassification between target classes when applied on minerals.
Kim, Bumhwi; Ban, Sang-Woo; Lee, Minho
2013-10-01
Humans can efficiently perceive arbitrary visual objects based on an incremental learning mechanism with selective attention. This paper proposes a new task specific top-down attention model to locate a target object based on its form and color representation along with a bottom-up saliency based on relativity of primitive visual features and some memory modules. In the proposed model top-down bias signals corresponding to the target form and color features are generated, which draw the preferential attention to the desired object by the proposed selective attention model in concomitance with the bottom-up saliency process. The object form and color representation and memory modules have an incremental learning mechanism together with a proper object feature representation scheme. The proposed model includes a Growing Fuzzy Topology Adaptive Resonance Theory (GFTART) network which plays two important roles in object color and form biased attention; one is to incrementally learn and memorize color and form features of various objects, and the other is to generate a top-down bias signal to localize a target object by focusing on the candidate local areas. Moreover, the GFTART network can be utilized for knowledge inference which enables the perception of new unknown objects on the basis of the object form and color features stored in the memory during training. Experimental results show that the proposed model is successful in focusing on the specified target objects, in addition to the incremental representation and memorization of various objects in natural scenes. In addition, the proposed model properly infers new unknown objects based on the form and color features of previously trained objects. Copyright © 2013 Elsevier Ltd. All rights reserved.
7 CFR 1250.500 - Terms defined.
Code of Federal Regulations, 2013 CFR
2013-01-01
..., or markets such eggs, including eggs of his own production. (j) Egg products. “Egg products” means... action, including paid advertising, to advance the image or desirability of eggs, egg products, spent... image, desirability, marketability, production, or quality of eggs, egg products, spent fowl, or...
7 CFR 1250.500 - Terms defined.
Code of Federal Regulations, 2012 CFR
2012-01-01
..., or markets such eggs, including eggs of his own production. (j) Egg products. “Egg products” means... action, including paid advertising, to advance the image or desirability of eggs, egg products, spent... image, desirability, marketability, production, or quality of eggs, egg products, spent fowl, or...
7 CFR 1250.500 - Terms defined.
Code of Federal Regulations, 2011 CFR
2011-01-01
..., or markets such eggs, including eggs of his own production. (j) Egg products. “Egg products” means... action, including paid advertising, to advance the image or desirability of eggs, egg products, spent... image, desirability, marketability, production, or quality of eggs, egg products, spent fowl, or...
7 CFR 1250.500 - Terms defined.
Code of Federal Regulations, 2014 CFR
2014-01-01
..., or markets such eggs, including eggs of his own production. (j) Egg products. “Egg products” means... action, including paid advertising, to advance the image or desirability of eggs, egg products, spent... image, desirability, marketability, production, or quality of eggs, egg products, spent fowl, or...
PubMed vs. HighWire Press: a head-to-head comparison of two medical literature search engines.
Vanhecke, Thomas E; Barnes, Michael A; Zimmerman, Janet; Shoichet, Sandor
2007-09-01
PubMed and HighWire Press are both useful medical literature search engines available for free to anyone on the internet. We measured retrieval accuracy, number of results generated, retrieval speed, features and search tools on HighWire Press and PubMed using the quick search features of each. We found that using HighWire Press resulted in a higher likelihood of retrieving the desired article and higher number of search results than the same search on PubMed. PubMed was faster than HighWire Press in delivering search results regardless of search settings. There are considerable differences in search features between these two search engines.
Web Services Security - Implementation and Evaluation Issues
NASA Astrophysics Data System (ADS)
Pimenidis, Elias; Georgiadis, Christos K.; Bako, Peter; Zorkadis, Vassilis
Web services development is a key theme in the utilization the commercial exploitation of the semantic web. Paramount to the development and offering of such services is the issue of security features and they way these are applied in instituting trust amongst participants and recipients of the service. Implementing such security features is a major challenge to developers as they need to balance these with performance and interoperability requirements. Being able to evaluate the level of security offered is a desirable feature for any prospective participant. The authors attempt to address the issues of security requirements and evaluation criteria, while they discuss the challenges of security implementation through a simple web service application case.
SynGenics Optimization System (SynOptSys)
NASA Technical Reports Server (NTRS)
Ventresca, Carol; McMilan, Michelle L.; Globus, Stephanie
2013-01-01
The SynGenics Optimization System (SynOptSys) software application optimizes a product with respect to multiple, competing criteria using statistical Design of Experiments, Response-Surface Methodology, and the Desirability Optimization Methodology. The user is not required to be skilled in the underlying math; thus, SynOptSys can help designers and product developers overcome the barriers that prevent them from using powerful techniques to develop better pro ducts in a less costly manner. SynOpt-Sys is applicable to the design of any product or process with multiple criteria to meet, and at least two factors that influence achievement of those criteria. The user begins with a selected solution principle or system concept and a set of criteria that needs to be satisfied. The criteria may be expressed in terms of documented desirements or defined responses that the future system needs to achieve. Documented desirements can be imported into SynOptSys or created and documented directly within SynOptSys. Subsequent steps include identifying factors, specifying model order for each response, designing the experiment, running the experiment and gathering the data, analyzing the results, and determining the specifications for the optimized system. The user may also enter textual information as the project progresses. Data is easily edited within SynOptSys, and the software design enables full traceability within any step in the process, and facilitates reporting as needed. SynOptSys is unique in the way responses are defined and the nuances of the goodness associated with changes in response values for each of the responses of interest. The Desirability Optimization Methodology provides the basis of this novel feature. Moreover, this is a complete, guided design and optimization process tool with embedded math that can remain invisible to the user. It is not a standalone statistical program; it is a design and optimization system.
Monitoring the Depth of Anesthesia Using a New Adaptive Neurofuzzy System.
Shalbaf, Ahmad; Saffar, Mohsen; Sleigh, Jamie W; Shalbaf, Reza
2018-05-01
Accurate and noninvasive monitoring of the depth of anesthesia (DoA) is highly desirable. Since the anesthetic drugs act mainly on the central nervous system, the analysis of brain activity using electroencephalogram (EEG) is very useful. This paper proposes a novel automated method for assessing the DoA using EEG. First, 11 features including spectral, fractal, and entropy are extracted from EEG signal and then, by applying an algorithm according to exhaustive search of all subsets of features, a combination of the best features (Beta-index, sample entropy, shannon permutation entropy, and detrended fluctuation analysis) is selected. Accordingly, we feed these extracted features to a new neurofuzzy classification algorithm, adaptive neurofuzzy inference system with linguistic hedges (ANFIS-LH). This structure can successfully model systems with nonlinear relationships between input and output, and also classify overlapped classes accurately. ANFIS-LH, which is based on modified classical fuzzy rules, reduces the effects of the insignificant features in input space, which causes overlapping and modifies the output layer structure. The presented method classifies EEG data into awake, light, general, and deep states during anesthesia with sevoflurane in 17 patients. Its accuracy is 92% compared to a commercial monitoring system (response entropy index) successfully. Moreover, this method reaches the classification accuracy of 93% to categorize EEG signal to awake and general anesthesia states by another database of propofol and volatile anesthesia in 50 patients. To sum up, this method is potentially applicable to a new real-time monitoring system to help the anesthesiologist with continuous assessment of DoA quickly and accurately.
Optimizing defect inspection strategy through the use of design-aware database control layers
NASA Astrophysics Data System (ADS)
Stoler, Dvori; Ruch, Wayne; Ma, Weimin; Chakravarty, Swapnajit; Liu, Steven; Morgan, Ray; Valadez, John; Moore, Bill; Burns, John
2007-10-01
Resolution limitations in the mask making process can cause differences between the features that appear in a database and those printed to a reticle. These differences may result from intentional or unintentional features in the database exceeding the resolution limit of the mask making process such as small gaps or lines in the data, line end shortening on small sub-resolution assist features etc creating challenges to both mask writing and mask inspection. Areas with high variance from design to mask, often referred to as high MEEF areas (mask error enhancement factor), become highly problematic and can directly impact mask and device yield, mask manufacturing cycle time and ultimately mask costs. Specific to mask inspection it may be desirable to inspect certain non-critical or non-relevant features at reduced sensitivity so as not to detect real, but less significant process defects. In contrast there may also be times where increased sensitivity is required for critical mask features or areas. Until recently, this process was extremely manual, creating added time and cost to the mask inspection cycle. Shifting to more intelligent and automated inspection flows is the key focus of this paper. A novel approach to importing design data directly into the mask inspection to include both MDP generated MRC errors files and LRC generated MEEF files. The results of recently developed inspection and review capability based upon controlling defect inspection using design aware data base control layers on a pixel basis are discussed. Typical mask shop applications and implementations will be shown.
Flexible black phosphorus ambipolar transistors, circuits and AM demodulator.
Zhu, Weinan; Yogeesh, Maruthi N; Yang, Shixuan; Aldave, Sandra H; Kim, Joon-Seok; Sonde, Sushant; Tao, Li; Lu, Nanshu; Akinwande, Deji
2015-03-11
High-mobility two-dimensional (2D) semiconductors are desirable for high-performance mechanically flexible nanoelectronics. In this work, we report the first flexible black phosphorus (BP) field-effect transistors (FETs) with electron and hole mobilities superior to what has been previously achieved with other more studied flexible layered semiconducting transistors such as MoS2 and WSe2. Encapsulated bottom-gated BP ambipolar FETs on flexible polyimide afforded maximum carrier mobility of about 310 cm(2)/V·s with field-effect current modulation exceeding 3 orders of magnitude. The device ambipolar functionality and high-mobility were employed to realize essential circuits of electronic systems for flexible technology including ambipolar digital inverter, frequency doubler, and analog amplifiers featuring voltage gain higher than other reported layered semiconductor flexible amplifiers. In addition, we demonstrate the first flexible BP amplitude-modulated (AM) demodulator, an active stage useful for radio receivers, based on a single ambipolar BP transistor, which results in audible signals when connected to a loudspeaker or earphone. Moreover, the BP transistors feature mechanical robustness up to 2% uniaxial tensile strain and up to 5000 bending cycles.
Deployable System for Crash-Load Attenuation
NASA Technical Reports Server (NTRS)
Kellas, Sotiris; Jackson, Karen E.
2007-01-01
An externally deployable honeycomb structure is investigated with respect to crash energy management for light aircraft. The new concept utilizes an expandable honeycomb-like structure to absorb impact energy by crushing. Distinguished by flexible hinges between cell wall junctions that enable effortless deployment, the new energy absorber offers most of the desirable features of an external airbag system without the limitations of poor shear stability, system complexity, and timing sensitivity. Like conventional honeycomb, once expanded, the energy absorber is transformed into a crush efficient and stable cellular structure. Other advantages, afforded by the flexible hinge feature, include a variety of deployment options such as linear, radial, and/or hybrid deployment methods. Radial deployment is utilized when omnidirectional cushioning is required. Linear deployment offers better efficiency, which is preferred when the impact orientation is known in advance. Several energy absorbers utilizing different deployment modes could also be combined to optimize overall performance and/or improve system reliability as outlined in the paper. Results from a series of component and full scale demonstration tests are presented as well as typical deployment techniques and mechanisms. LS-DYNA analytical simulations of selected tests are also presented.
Notes on an Outreach Forum for High School Chemistry Teachers - An Unexpected Success
NASA Astrophysics Data System (ADS)
Mayfield, Darwin L.
1997-05-01
Public realization in the United States of deficiencies in understanding basic facts and processes in science and mathematics is mounting. Teachers in these areas at all levels are key players in the challenges to come. This paper describes the activities of one small group of high school chemistry teachers as they have explored these challenges. The group of approximately sixteen has met regularly on the campus of California State University, Long Beach during the past seven years. The meetings (two or three each semester) are informal three-hour sessions over the dinner hour (box dinners are provided). A feature of each meeting is discussion of articles selected from the Journal of Chemical Education including retesting with variation of "Tested Demonstrations". Subscriptions to the Journal are provided to members. No fees are charged nor course credit given. The article outlines many of the program features, describes recruitment and changes in membership over time, examines possibilities for replication and emphasizes the great desire of secondary level chemistry teachers for exchange of ideas with peers. It explores the question "what did we do right?" in launching this successful forum.
Robotics virtual rail system and method
Bruemmer, David J [Idaho Falls, ID; Few, Douglas A [Idaho Falls, ID; Walton, Miles C [Idaho Falls, ID
2011-07-05
A virtual track or rail system and method is described for execution by a robot. A user, through a user interface, generates a desired path comprised of at least one segment representative of the virtual track for the robot. Start and end points are assigned to the desired path and velocities are also associated with each of the at least one segment of the desired path. A waypoint file is generated including positions along the virtual track representing the desired path with the positions beginning from the start point to the end point including the velocities of each of the at least one segment. The waypoint file is sent to the robot for traversing along the virtual track.
Direct laser writing of polymeric nanostructures via optically induced local thermal effect
DOE Office of Scientific and Technical Information (OSTI.GOV)
Tong, Quang Cong; Institute of Materials Science, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, 10000 Hanoi; Nguyen, Dam Thuy Trang
We demonstrate the fabrication of desired structures with feature size below the diffraction limit by use of a positive photoresist. The direct laser writing technique employing a continuous-wave laser was used to optically induce a local thermal effect in a positive photoresist, which then allowed the formation of solid nanostructures. This technique enabled us to realize multi-dimensional sub-microstructures by use of a positive photoresist, with a feature size down to 57 nm. This mechanism acting on positive photoresists opens a simple and low-cost way for nanofabrication.
Bashiri, Azadeh; Shahmoradi, Leila; Beigy, Hamid; Savareh, Behrouz A; Nosratabadi, Masood; N Kalhori, Sharareh R; Ghazisaeedi, Marjan
2018-06-01
Quantitative EEG gives valuable information in the clinical evaluation of psychological disorders. The purpose of the present study is to identify the most prominent features of quantitative electroencephalography (QEEG) that affect attention and response control parameters in children with attention deficit hyperactivity disorder. The QEEG features and the Integrated Visual and Auditory-Continuous Performance Test ( IVA-CPT) of 95 attention deficit hyperactivity disorder subjects were preprocessed by Independent Evaluation Criterion for Binary Classification. Then, the importance of selected features in the classification of desired outputs was evaluated using the artificial neural network. Findings uncovered the highest rank of QEEG features in each IVA-CPT parameters related to attention and response control. Using the designed model could help therapists to determine the existence or absence of defects in attention and response control relying on QEEG.
Effect of processing on structural features of anodic aluminum oxides
NASA Astrophysics Data System (ADS)
Erdogan, Pembe; Birol, Yucel
2012-09-01
Morphological features of the anodic aluminum oxide (AAO) templates fabricated by electrochemical oxidation under different processing conditions were investigated. The selection of the polishing parameters does not appear to be critical as long as the aluminum substrate is polished adequately prior to the anodization process. AAO layers with a highly ordered pore distribution are obtained after anodizing in 0.6 M oxalic acid at 20 °C under 40 V for 5 minutes suggesting that the desired pore features are attained once an oxide layer develops on the surface. While the pore features are not affected much, the thickness of the AAO template increases with increasing anodization treatment time. Pore features are better and the AAO growth rate is higher at 20 °C than at 5 °C; higher under 45 V than under 40 V; higher with 0.6 M than with 0.3 M oxalic acid.
The object of sexual desire: examining the "what" in "what do you desire?".
Mark, Kristen; Herbenick, Debby; Fortenberry, Dennis; Sanders, Stephanie; Reece, Michael
2014-11-01
Over the past two decades, sexual desire and desire discrepancy have become more frequently studied as have potential pharmaceutical interventions to treat low sexual desire. However, the complexities of sexual desire-including what exactly is desired-remain poorly understood. To understand the object of men's and women's sexual desire, evaluate gender differences and similarities in the object of desire, and examine the impact of object of desire discrepancies on overall desire for partner in men and women in the context of long-term relationships. A total of 406 individuals, 203 men and 203 women in a relationship with one another, completed an online survey on sexual desire. Reports of the object of sexual desire in addition to measures of sexual desire for current partner were collected from both members of the couple. There were significant gender differences in the object of sexual desire. Men were significantly more likely to endorse desire for sexual release, orgasm, and pleasing their partner than were women. Women were significantly more likely to endorse desire for intimacy, emotional closeness, love, and feeling sexually desirable than men. Discrepancies within the couple with regard to object of desire were related to their level of sexual desire for partner, accounting for 17% of variance in men's desire and 37% of variance in women's desire. This research provides insights into the conceptualization of sexual desire in long-term relationships and the multifaceted nature of sexual desire that may aid in more focused ways to maintain desire over long-term relationships. Future research on the utility of this perspective of sexual desire and implications for clinicians working with couples struggling with low sexual desire in their relationships is discussed. © 2014 International Society for Sexual Medicine.
NASA Technical Reports Server (NTRS)
Maglieri, Domenic J.; Sothcott, Victor E.; Keefer, Thomas N., Jr.
1993-01-01
A study was performed to determine the feasibility of establishing if a 'shaped' sonic boom signature, experimentally shown in wind tunnel models out to about 10 body lengths, will persist out to representative flight conditions of 200 to 300 body lengths. The study focuses on the use of a relatively large supersonic remotely-piloted and recoverable vehicle. Other simulation methods that may accomplish the objective are also addressed and include the use of nonrecoverable target drones, missiles, full-scale drones, very large wind tunnels, ballistic facilities, whirling-arm techniques, rocket sled tracks, and airplane nose probes. In addition, this report will also present a background on the origin of the feasibility study including a brief review of the equivalent body concept, a listing of the basic sonic boom signature characteristics and requirements, identification of candidate vehicles in terms of desirable features/availability, and vehicle characteristics including geometries, area distributions, and resulting sonic boom signatures. A program is developed that includes wind tunnel sonic boom and force models and tests for both a basic and modified vehicles and full-scale flight tests.
Frequency Spectrum for New Aviation Data Links: Initial Study Results
NASA Technical Reports Server (NTRS)
Matolak, David W.; Branstetter, James R.
2004-01-01
We describe results from an initial study to assess the suitability of various spectral bands for supporting the deployment of new aviation data links (ADL). The study focused on systems and spectral bands that can deliver VHF data link (VDL)-or-higher data rates in a two-way communication setting, including air-ground, ground-air, and air-air modes of operation. In the first part of our paper, we briefly discuss the current situation regarding communications, navigation, and surveillance (CNS) links and existing spectrum, and the well-known need for new aviation data links. We next provide an overview of related systems, and discuss key factors involved in the use of spectrum in various bands for any future integrated CNS data link, addressing primarily the lower few layers of the communications protocol stack. Desired attributes of a new ADL system are discussed, and the beneficial aspects of a particular transmission technique spread spectrum are summarized. We also provide a short list of several example potential spectral regions, and note that while none of the existing systems will likely meet the full range of desired features of a new ADL, several systems and spectral regions offer promise in terms of one or more characteristics. A detailed discussion and evaluation of these spectral regions is proposed as future work. We include a few brief examples to illustrate initial technical results regarding spread spectrum overlay, also a subject for future work.
Multiplexed chirp waveform synthesizer
Dudley, Peter A.; Tise, Bert L.
2003-09-02
A synthesizer for generating a desired chirp signal has M parallel channels, where M is an integer greater than 1, each channel including a chirp waveform synthesizer generating at an output a portion of a digital representation of the desired chirp signal; and a multiplexer for multiplexing the M outputs to create a digital representation of the desired chirp signal. Preferably, each channel receives input information that is a function of information representing the desired chirp signal.
Enea-Drapeau, Claire; Carlier, Michèle; Huguet, Pascal
2012-01-01
Stigmatization is one of the greatest obstacles to the successful integration of people with Trisomy 21 (T21 or Down syndrome), the most frequent genetic disorder associated with intellectual disability. Research on attitudes and stereotypes toward these people still focuses on explicit measures subjected to social-desirability biases, and neglects how variability in facial stigmata influences attitudes and stereotyping. The participants were 165 adults including 55 young adult students, 55 non-student adults, and 55 professional caregivers working with intellectually disabled persons. They were faced with implicit association tests (IAT), a well-known technique whereby response latency is used to capture the relative strength with which some groups of people--here photographed faces of typically developing children and children with T21--are automatically (without conscious awareness) associated with positive versus negative attributes in memory. Each participant also rated the same photographed faces (consciously accessible evaluations). We provide the first evidence that the positive bias typically found in explicit judgments of children with T21 is smaller for those whose facial features are highly characteristic of this disorder, compared to their counterparts with less distinctive features and to typically developing children. We also show that this bias can coexist with negative evaluations at the implicit level (with large effect sizes), even among professional caregivers. These findings support recent models of feature-based stereotyping, and more importantly show how crucial it is to go beyond explicit evaluations to estimate the true extent of stigmatization of intellectually disabled people.
Using Simplistic Shape/Surface Models to Predict Brightness in Estimation Filters
NASA Astrophysics Data System (ADS)
Wetterer, C.; Sheppard, D.; Hunt, B.
The prerequisite for using brightness (radiometric flux intensity) measurements in an estimation filter is to have a measurement function that accurately predicts a space objects brightness for variations in the parameters of interest. These parameters include changes in attitude and articulations of particular components (e.g. solar panel east-west offsets to direct sun-tracking). Typically, shape models and bidirectional reflectance distribution functions are combined to provide this forward light curve modeling capability. To achieve precise orbit predictions with the inclusion of shape/surface dependent forces such as radiation pressure, relatively complex and sophisticated modeling is required. Unfortunately, increasing the complexity of the models makes it difficult to estimate all those parameters simultaneously because changes in light curve features can now be explained by variations in a number of different properties. The classic example of this is the connection between the albedo and the area of a surface. If, however, the desire is to extract information about a single and specific parameter or feature from the light curve, a simple shape/surface model could be used. This paper details an example of this where a complex model is used to create simulated light curves, and then a simple model is used in an estimation filter to extract out a particular feature of interest. In order for this to be successful, however, the simple model must be first constructed using training data where the feature of interest is known or at least known to be constant.
NASA Astrophysics Data System (ADS)
Chen, Bin; Kitasaka, Takayuki; Honma, Hirotoshi; Takabatake, Hirotsugu; Mori, Masaki; Natori, Hiroshi; Mori, Kensaku
2012-03-01
This paper presents a solitary pulmonary nodule (SPN) segmentation method based on local intensity structure analysis and neighborhood feature analysis in chest CT images. Automated segmentation of SPNs is desirable for a chest computer-aided detection/diagnosis (CAS) system since a SPN may indicate early stage of lung cancer. Due to the similar intensities of SPNs and other chest structures such as blood vessels, many false positives (FPs) are generated by nodule detection methods. To reduce such FPs, we introduce two features that analyze the relation between each segmented nodule candidate and it neighborhood region. The proposed method utilizes a blob-like structure enhancement (BSE) filter based on Hessian analysis to augment the blob-like structures as initial nodule candidates. Then a fine segmentation is performed to segment much more accurate region of each nodule candidate. FP reduction is mainly addressed by investigating two neighborhood features based on volume ratio and eigenvector of Hessian that are calculates from the neighborhood region of each nodule candidate. We evaluated the proposed method by using 40 chest CT images, include 20 standard-dose CT images that we randomly chosen from a local database and 20 low-dose CT images that were randomly chosen from a public database: LIDC. The experimental results revealed that the average TP rate of proposed method was 93.6% with 12.3 FPs/case.
Root Zone Water Quality Model (RZWQM2): Model use, calibration, and validation
USDA-ARS?s Scientific Manuscript database
The Root Zone Water Quality Model (RZWQM2) has been used widely for simulating agricultural management effects on crop production and soil and water quality. Although it is a one-dimensional model it has many desirable features for the modeling community. This paper outlines the principles of calibr...
An Investigation about Actualization Levels of Learning Outcomes in Early Childhood Curriculum
ERIC Educational Resources Information Center
Kazu, Ibrahim Yasar; Is, Abdulgafur
2018-01-01
Understanding the characteristics of preschool-age children is an important and first step for supporting children's healthy development and school readiness. Children may show different developmental features and come different social, socio-cultural background; however, they are in the same age. Reaching of education at a desired level will be…
USDA-ARS?s Scientific Manuscript database
Chilling injury, as a physiological disorder in cucumbers, occurs after the fruit has been subjected to low temperatures. It is thus desirable to detect chilling injury at early stages and/or remove chilling injured cucumbers during sorting and grading. This research was aimed to apply hyperspectral...
Identity-Trajectories: Doctoral Journeys from Past to Present to Future
ERIC Educational Resources Information Center
McAlpine, Lynn
2012-01-01
Despite much research into doctoral education over the past two decades, theorising the field remains challenging. Recently, identity has been taken up as a conceptualising frame. Views of identity vary but often privilege the reproductive features of society, downplaying how individuals can be intentional in pursuing their desires--with the…
Price, D.
1958-09-01
An improved means is described for removably installing and supporting a collector pocket in a calutron. The salient feature of the invention is the support of the collector pocket by means of suspension bolts engaging the pocket at a point intermediate the top and bottom of the pocket, and having nuts so arranged that by turing the desired predetermined position.
Participatory Evaluation of an Educational Game for Social Skills Acquisition
ERIC Educational Resources Information Center
Tan, Jean Lee; Goh, Dion Hoe-Lian; Ang, Rebecca P.; Huan, Vivien S.
2013-01-01
This paper reports a study conducted to formally evaluate a social problem-solving skills game during the start of the development to ensure that the desired game attributes were successfully embodied in the final game. Two methods, heuristic evaluation and participatory design, were adopted to assess whether the features of the game pose…
Federal Register 2010, 2011, 2012, 2013, 2014
2011-09-12
... research and development priorities in anticipation of the President's Wireless Innovation (WIN) Fund to help drive innovation of next-generation network technologies. DATES: Comments are requested by 5 p.m... communities.\\1\\ The Administration has also proposed a $3 billion WIN Fund to help drive innovation through...
ERIC Educational Resources Information Center
Mitchell, Eugene E., Ed.; Leventhal, Lance A.
Many devices and systems related to microprocessors are available on the marketplace. The author suggests that criteria for selecting and designing workstations and development systems are necessary. Seventeen important factors of designing workstations and six desirable features of a development system are presented. The kinds of places in which…
30 CFR 74.17 - Changes after certification.
Code of Federal Regulations, 2010 CFR
2010-07-01
... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Changes after certification. 74.17 Section 74... HEALTH COAL MINE DUST SAMPLING DEVICES General Requirements for All Devices § 74.17 Changes after certification. (a) If the applicant desires to change any feature of a certified CMDPSU or a certified CPDM, the...
ERIC Educational Resources Information Center
Duff, David B.; Abbe, Tyler G.; Goess, Brian C.
2012-01-01
A multistep synthesis of 5-isopropyl-1,3-cyclohexanedione is carried out from three commodity chemicals. The sequence involves an aldol condensation, Dieckmann-type annulation, ester hydrolysis, and decarboxylation. No purification is required until after the final step, at which point gravity column chromatography provides the desired product in…
Controversy, Trials, and Crime--Oh My!
ERIC Educational Resources Information Center
Rott, Kim
2006-01-01
Teenagers' innate interest with the justice system is one of the reasons that so many high school literary classics teem with criminals, controversial issues, and trials. Novels such as "To Kill a Mockingbird," "A Separate Peace," "The Crucible," and "Twelve Angry Men" feature high-impact trials. In the author's desire to tap into this interest,…
Creating Robust Evaluation of ATE Projects
ERIC Educational Resources Information Center
Eddy, Pamela L.
2017-01-01
Funded grant projects all involve some form of evaluation, and Advanced Technological Education (ATE) grants are no exception. Program evaluation serves as a critical component not only for evaluating if a project has met its intended and desired outcomes, but the evaluation process is also a central feature of the grant application itself.…
Computer-Based Semantic Network in Molecular Biology: A Demonstration.
ERIC Educational Resources Information Center
Callman, Joshua L.; And Others
This paper analyzes the hardware and software features that would be desirable in a computer-based semantic network system for representing biology knowledge. It then describes in detail a prototype network of molecular biology knowledge that has been developed using Filevision software and a Macintosh computer. The prototype contains about 100…
Combined optimization of image-gathering and image-processing systems for scene feature detection
NASA Technical Reports Server (NTRS)
Halyo, Nesim; Arduini, Robert F.; Samms, Richard W.
1987-01-01
The relationship between the image gathering and image processing systems for minimum mean squared error estimation of scene characteristics is investigated. A stochastic optimization problem is formulated where the objective is to determine a spatial characteristic of the scene rather than a feature of the already blurred, sampled and noisy image data. An analytical solution for the optimal characteristic image processor is developed. The Wiener filter for the sampled image case is obtained as a special case, where the desired characteristic is scene restoration. Optimal edge detection is investigated using the Laplacian operator x G as the desired characteristic, where G is a two dimensional Gaussian distribution function. It is shown that the optimal edge detector compensates for the blurring introduced by the image gathering optics, and notably, that it is not circularly symmetric. The lack of circular symmetry is largely due to the geometric effects of the sampling lattice used in image acquisition. The optimal image gathering optical transfer function is also investigated and the results of a sensitivity analysis are shown.
Image Recommendation Algorithm Using Feature-Based Collaborative Filtering
NASA Astrophysics Data System (ADS)
Kim, Deok-Hwan
As the multimedia contents market continues its rapid expansion, the amount of image contents used in mobile phone services, digital libraries, and catalog service is increasing remarkably. In spite of this rapid growth, users experience high levels of frustration when searching for the desired image. Even though new images are profitable to the service providers, traditional collaborative filtering methods cannot recommend them. To solve this problem, in this paper, we propose feature-based collaborative filtering (FBCF) method to reflect the user's most recent preference by representing his purchase sequence in the visual feature space. The proposed approach represents the images that have been purchased in the past as the feature clusters in the multi-dimensional feature space and then selects neighbors by using an inter-cluster distance function between their feature clusters. Various experiments using real image data demonstrate that the proposed approach provides a higher quality recommendation and better performance than do typical collaborative filtering and content-based filtering techniques.
NASA Astrophysics Data System (ADS)
Soltanian-Zadeh, Hamid; Windham, Joe P.
1992-04-01
Maximizing the minimum absolute contrast-to-noise ratios (CNRs) between a desired feature and multiple interfering processes, by linear combination of images in a magnetic resonance imaging (MRI) scene sequence, is attractive for MRI analysis and interpretation. A general formulation of the problem is presented, along with a novel solution utilizing the simple and numerically stable method of Gram-Schmidt orthogonalization. We derive explicit solutions for the case of two interfering features first, then for three interfering features, and, finally, using a typical example, for an arbitrary number of interfering feature. For the case of two interfering features, we also provide simplified analytical expressions for the signal-to-noise ratios (SNRs) and CNRs of the filtered images. The technique is demonstrated through its applications to simulated and acquired MRI scene sequences of a human brain with a cerebral infarction. For these applications, a 50 to 100% improvement for the smallest absolute CNR is obtained.
2015-01-01
Background The explosion of mobile phones with app capabilities coupled with increased expectations of the patient-consumers’ role in managing their care presents a unique opportunity to use mobile health (mHealth) apps. Objectives The aim of this paper is to identify the features and characteristics most-valued by patient-consumers (“users”) that contribute positively to the rating of an app. Methods A collection of 234 apps associated with reputable health organizations found in the medical, health, and fitness categories of the Apple iTunes store and Google Play marketplace was assessed manually for the presence of 12 app features and characteristics. Regression analysis was used to determine which, if any, contributed positively to a user’s rating of the app. Results Analysis of these 12 features explained 9.3% (R 2=.093 n=234, P<.001) of the variation in an app’s rating, with only 5 reaching statistical significance. Of the 5 reaching statistical significance, plan or orders, export of data, usability, and cost contributed positively to a user’s rating, while the tracker feature detracted from it. Conclusions These findings suggest that users appreciate features that save time over current methods and identify an app as valuable when it is simple and intuitive to use, provides specific instructions to better manage a condition, and shares data with designated individuals. Although tracking is a core function of most health apps, this feature may detract from a user’s experience when not executed properly. Further investigation into mHealth app features is worthwhile given the inability of the most common features to explain a large portion of an app’s rating. In the future, studies should focus on one category in the app store, specific diseases, or desired behavior change, and methods should include measuring the quality of each feature, both through manual assessment and evaluation of user reviews. Additional investigations into understanding the impact of synergistic features, incentives, social media, and gamification are also warranted to identify possible future trends. PMID:25972309
Comparative Pessimism or Optimism: Depressed Mood, Risk-Taking, Social Utility and Desirability.
Milhabet, Isabelle; Le Barbenchon, Emmanuelle; Cambon, Laurent; Molina, Guylaine
2015-03-05
Comparative optimism can be defined as a self-serving, asymmetric judgment of the future. It is often thought to be beneficial and socially accepted, whereas comparative pessimism is correlated with depression and socially rejected. Our goal was to examine the social acceptance of comparative optimism and the social rejection of comparative pessimism in two dimensions of social judgment, social desirability and social utility, considering the attributions of dysphoria and risk-taking potential (studies 2 and 3) on outlooks on the future. In three experiments, the participants assessed either one (study 1) or several (studies 2 and 3) fictional targets in two dimensions, social utility and social desirability. Targets exhibiting comparatively optimistic or pessimistic outlooks on the future were presented as non-depressed, depressed, or neither (control condition) (study 1); non-depressed or depressed (study 2); and non-depressed or in control condition (study 3). Two significant results were obtained: (1) social rejection of comparative pessimism in the social desirability dimension, which can be explained by its depressive feature; and (2) comparative optimism was socially accepted on the social utility dimension, which can be explained by the perception that comparatively optimistic individuals are potential risk-takers.
Statistical analysis and machine learning algorithms for optical biopsy
NASA Astrophysics Data System (ADS)
Wu, Binlin; Liu, Cheng-hui; Boydston-White, Susie; Beckman, Hugh; Sriramoju, Vidyasagar; Sordillo, Laura; Zhang, Chunyuan; Zhang, Lin; Shi, Lingyan; Smith, Jason; Bailin, Jacob; Alfano, Robert R.
2018-02-01
Analyzing spectral or imaging data collected with various optical biopsy methods is often times difficult due to the complexity of the biological basis. Robust methods that can utilize the spectral or imaging data and detect the characteristic spectral or spatial signatures for different types of tissue is challenging but highly desired. In this study, we used various machine learning algorithms to analyze a spectral dataset acquired from human skin normal and cancerous tissue samples using resonance Raman spectroscopy with 532nm excitation. The algorithms including principal component analysis, nonnegative matrix factorization, and autoencoder artificial neural network are used to reduce dimension of the dataset and detect features. A support vector machine with a linear kernel is used to classify the normal tissue and cancerous tissue samples. The efficacies of the methods are compared.
Scorpion: Close Air Support (CAS) aircraft
NASA Technical Reports Server (NTRS)
Allen, Chris; Cheng, Rendy; Koehler, Grant; Lyon, Sean; Paguio, Cecilia
1991-01-01
The objective is to outline the results of the preliminary design of the Scorpion, a proposed close air support aircraft. The results obtained include complete preliminary analysis of the aircraft in the areas of aerodynamics, structures, avionics and electronics, stability and control, weight and balance, propulsion systems, and costs. A conventional wing, twin jet, twin-tail aircraft was chosen to maximize the desirable characteristics. The Scorpion will feature low speed maneuverability, high survivability, low cost, and low maintenance. The life cycle cost per aircraft will be 17.5 million dollars. The maximum takeoff weight will be 52,760 pounds. Wing loading will be 90 psf. The thrust to weight will be 0.6 lbs/lb. This aircraft meets the specified mission requirements. Some modifications have been suggested to further optimize the design.
NASA Technical Reports Server (NTRS)
Free, April M.; Flowers, George T.; Trent, Victor S.
1995-01-01
Auxiliary bearings are a critical feature of any magnetic bearing system. They protect the soft iron core of the magnetic bearing during an overload or failure. An auxiliary bearing typically consists of a rolling element bearing or bushing with a clearance gap between the rotor and the inner race of the support. The dynamics of such systems can be quite complex. It is desired to develop a rotordynamic model which describes the dynamic behavior of a flexible rotor system with magnetic bearings including auxiliary bearings. The model is based upon an experimental test facility. Some simulation studies are presented to illustrate the behavior of the model. In particular, the effects of introducing sideloading from the magnetic bearing when one coil fails is studied.
Rotordynamic Modelling and Response Characteristics of an Active Magnetic Bearing Rotor System
NASA Technical Reports Server (NTRS)
Free, April M.; Flowers, George T.; Trent, Victor S.
1996-01-01
Auxiliary bearings are a critical feature of any magnetic bearing system. They protect the soft iron core of the magnetic bearing during an overload or failure. An auxiliary bearing typically consists of a rolling element bearing or bushing with a clearance gap between the rotor and the inner race of the support. The dynamics of such systems can be quite complex. It is desired to develop a rotordynamic model which describes the dynamic behavior of a flexible rotor system with magnetic bearings including auxiliary bearings. The model is based upon an experimental test facility. Some simulation studies are presented to illustrate the behavior of the model. In particular, the effects of introducing sideloading from the magnetic bearing when one coil fails is studied. These results are presented and discussed.
A Grignard-like Organic Reaction in Water
NASA Astrophysics Data System (ADS)
Breton, Gary W.; Hughey, Christine A.
1998-01-01
The addition of a Grignard reagent to a carbonyl-containing compound to form an alcohol is an important reaction to demonstrate in organic chemistry laboratory courses. However, the reaction presents several practical problems for the lab instructor including the need for anhydrous solvents (e.g., ether), dry glassware, and the occasional problem of slow reaction initiation. We have scaled, and tested, a known Grignard-like reaction between allyl bromide and benzaldehyde mediated by zinc metal in aqueous media. The procedure retains the desirable features of the traditional Grignard reaction, while eliminating some of the commonly encountered difficulties. Thus, addition of allyl bromide (1.2 eq) to benzaldehyde and zinc in a two-phase mixture of THF and saturated aqueous NH4Cl afforded addition product 1-phenyl-3-buten-1-ol in 70-85% yields.
Sunken costs and desired plans: examining different types of investments in close relationships.
Goodfriend, Wind; Agnew, Christopher R
2008-12-01
Although the concept of investments in romantic relationships has featured prominently in close relationships research, there have been no empirical analyses of different types of investments and their possible differential predictive power regarding relationship state or fate. With data from five independent samples, the authors offer and examine investments that differ in terms of their timing (past vs. planned) and materiality (tangible vs. intangible). Cross-sectional and longitudinal tests of hypotheses regarding these investment types provide evidence for the utility of considering specific types of investments in predicting a variety of important relationship factors, including commitment, stability, and the impact of breakup on relationship partners. Intangible investments and planned investments were found to be particularly robust predictors of key relational states and outcomes.
A Water-Soluble, Two-Photon Probe for Imaging Endogenous Hypochlorous Acid in Live Tissue.
Xing, Panfei; Feng, Yanxian; Niu, Yiming; Li, Qiu; Zhang, Zhe; Dong, Lei; Wang, Chunming
2018-04-17
Detection of hypochlorous acid (HClO) in the living system may help to uncover its essential biological functions. However, current imaging agents suffer from poor water solubility that limit their live-tissue applications. Here, a water-soluble probe (NNH) is devised through innovative hydrazone modification of 1,8-naphthalimide at 3' position. NNH was successfully applied to tracking endogenous HClO in both cultured macrophages and a liver injury model in mice. NNH demonstrated remarkably increased water solubility and multiple desirable features including two-photon absorbance, anti-bleaching capability, rapid cellular uptake, and low cytotoxicity. NNH is the first hydrazone-based probe for real-time imaging of HClO in live tissue. © 2018 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.
[The role of shame in development of the mental disorders I. Theoretical background].
Vizin, Gabriella; Unoka, Zsolt
2014-01-01
Shame is a particularly intense, often incapacitating negative emotion involving feeling of inferiority, powerlessness and self-consciousness, along with the desire to hide or disappear. The experience of shame is an adaptive and natural reaction until it becomes a chronic and painful emotion as a result of environment and temperamental factors. According to studies of the last decade chronic shame is a central feature of the social interactions as well as of a variety of psychopathologies including anxiety disorders, depression, eating disorders, and personality disorders. This study presents an overview of the definition and the major theories of shame describing developmental factors of shame and ways to coping with it. The research results concerning the relationship between shame and different disorders will be summarized in a following study.
Metal-free trifluoromethylation of aromatic and heteroaromatic aldehydes and ketones.
Qiao, Yupu; Si, Tuda; Yang, Ming-Hsiu; Altman, Ryan A
2014-08-01
The ability to convert simple and common substrates into fluoroalkyl derivatives under mild conditions remains an important goal for medicinal and agricultural chemists. One representative example of a desirable transformation involves the conversion of aromatic and heteroaromatic ketones and aldehydes into aryl and heteroaryl β,β,β-trifluoroethylarenes and -heteroarenes. The traditional approach for this net transformation involves stoichiometric metals and/or multistep reaction sequences that consume excessive time, material, and labor resources while providing low yields of products. To complement these traditional strategies, we report a one-pot metal-free decarboxylative procedure for accessing β,β,β-trifluoroethylarenes and -heteroarenes from readily available ketones and aldehydes. This method features several benefits, including ease of operation, readily available reagents, mild reaction conditions, high functional-group compatibility, and scalability.
Metal-Free Trifluoromethylation of Aromatic and Heteroaromatic Aldehydes and Ketones
2015-01-01
The ability to convert simple and common substrates into fluoroalkyl derivatives under mild conditions remains an important goal for medicinal and agricultural chemists. One representative example of a desirable transformation involves the conversion of aromatic and heteroaromatic ketones and aldehydes into aryl and heteroaryl β,β,β-trifluoroethylarenes and -heteroarenes. The traditional approach for this net transformation involves stoichiometric metals and/or multistep reaction sequences that consume excessive time, material, and labor resources while providing low yields of products. To complement these traditional strategies, we report a one-pot metal-free decarboxylative procedure for accessing β,β,β-trifluoroethylarenes and -heteroarenes from readily available ketones and aldehydes. This method features several benefits, including ease of operation, readily available reagents, mild reaction conditions, high functional-group compatibility, and scalability. PMID:25001876
Hunt, Arlon J.
1984-01-01
A method and apparatus whereby small carbon particles are made by pyrolysis of a mixture of acetylene carried in argon. The mixture is injected through a nozzle into a heated tube. A small amount of air is added to the mixture. In order to prevent carbon build-up at the nozzle, the nozzle tip is externally cooled. The tube is also elongated sufficiently to assure efficient pyrolysis at the desired flow rates. A key feature of the method is that the acetylene and argon, for example, are premixed in a dilute ratio, and such mixture is injected while cool to minimize the agglomeration of the particles, which produces carbon particles with desired optical properties for use as a solar radiant heat absorber.
Thermospheric dynamics - A system theory approach
NASA Technical Reports Server (NTRS)
Codrescu, M.; Forbes, J. M.; Roble, R. G.
1990-01-01
A system theory approach to thermospheric modeling is developed, based upon a linearization method which is capable of preserving nonlinear features of a dynamical system. The method is tested using a large, nonlinear, time-varying system, namely the thermospheric general circulation model (TGCM) of the National Center for Atmospheric Research. In the linearized version an equivalent system, defined for one of the desired TGCM output variables, is characterized by a set of response functions that is constructed from corresponding quasi-steady state and unit sample response functions. The linearized version of the system runs on a personal computer and produces an approximation of the desired TGCM output field height profile at a given geographic location.
Hunt, A.J.
1982-09-29
A method and apparatus whereby small carbon particles are made by pyrolysis of a mixture of acetylene carried in argon. The mixture is injected through a nozzle into a heated tube. A small amount of air is added to the mixture. In order to prevent carbon build-up at the nozzle, the nozzle tip is externally cooled. The tube is also elongated sufficiently to assure efficient pyrolysis at the desired flow rates. A key feature of the method is that the acetylene and argon, for example, are premixed in a dilute ratio, and such mixture is injected while cool to minimize the agglomeration of the particles, which produces carbon particles with desired optical properties for use as a solar radiant heat absorber.
Patterns of Asexuality in China: Sexual Activity, Sexual and Romantic Attraction, and Sexual Desire.
Zheng, Lijun; Su, Yanchen
2018-05-01
This study examined patterns of asexuality in Chinese asexual people in terms of sexual activities, sexual/romantic attraction, and sexual desire. The sample included 227 (64 men and 163 women) asexual participants and 57 (26 men and 31 women) uncertain asexual participants recruited from social networks for asexual people. The control group included 217 (115 men and 102 women) heterosexual participants recruited from general social networks. Participants scoring 40 or higher on the Asexuality Identification Scale were classified as asexual. Asexual participants reported having less frequent masturbation, sexual intercourse experience, and sexual and romantic attraction compared to heterosexual participants. Lower sexual attraction among asexuals indicated that "people who experience little or no sexual attraction" would be a more appropriate definition of asexuality. The pattern of uncertain asexual participants' sexual/romantic attraction and sexual desire was intermediate between heterosexual and asexual participants. Asexual participants scored significantly lower on dyadic sexual desire and slightly lower on solitary sexual desire than heterosexual participants. There were significant differences in sexual activities and solitary sexual desire among romantic orientation categories. Homoromantic participants showed higher dyadic sexual desire and were more likely to engage in masturbation, indicating the heterogeneity among asexual people. The findings indicated that Chinese asexual people showed similar patterns of asexuality as in Western nations. Specifically, asexual people have little or no sexual attraction, non-partner-orientated sexual desire, and are heterogeneous in sexual activities and sexual desire. This implies similar mechanisms underlying the etiology of asexuality across cultures.
Smartphone medication adherence apps: Potential benefits to patients and providers
Dayer, Lindsey; Heldenbrand, Seth; Anderson, Paul; Gubbins, Paul O.; Martin, Bradley C.
2014-01-01
Objectives To provide an overview of medication adherence, discuss the potential for smartphone medication adherence applications (adherence apps) to improve medication nonadherence, evaluate features of adherence apps across operating systems (OSs), and identify future opportunities and barriers facing adherence apps. Practice description Medication nonadherence is a common, complex, and costly problem that contributes to poor treatment outcomes and consumes health care resources. Nonadherence is difficult to measure precisely, and interventions to mitigate it have been largely unsuccessful. Practice innovation Using smartphone adherence apps represents a novel approach to improving adherence. This readily available technology offers many features that can be designed to help patients and health care providers improve medication-taking behavior. Main outcome measures Currently available apps were identified from the three main smartphone OSs (Apple, Android, and Blackberry). In addition, desirable features for adherence apps were identified and ranked by perceived importance to user desirability using a three-point rating system: 1, modest; 2, moderate; or 3, high. The 10 highest-rated apps were installed and subjected to user testing to assess app attributes using a standard medication regimen. Results 160 adherence apps were identified and ranked. These apps were most prevalent for the Android OS. Adherence apps with advanced functionality were more prevalent on the Apple iPhone OS. Among all apps, MyMedSchedule, MyMeds, and RxmindMe rated the highest because of their basic medication reminder features coupled with their enhanced levels of functionality. Conclusion Despite being untested, medication apps represent a possible strategy that pharmacists can recommend to nonadherent patients and incorporate into their practice. PMID:23571625
Plomp, Raul G; Versnel, Sarah L; van Lieshout, Manouk J S; Poublon, Rene M L; Mathijssen, Irene M J
2013-08-01
This study aimed to determine which facial features and functions need more attention during surgical treatment of Treacher Collins syndrome (TCS) in the long term. A cross-sectional cohort study was conducted to compare 23 TCS patients with 206 controls (all≥18 years) regarding satisfaction with their face. The adjusted Body Cathexis Scale was used to determine satisfaction with the appearance of the different facial features and functions. Desire for further treatment of these items was questioned. For each patient an overview was made of all facial operations performed, the affected facial features and the objective severity of the facial deformities. Patients were least satisfied with the appearance of the ears, facial profile and eyelids and with the functions hearing and nasal patency (P<0.001). Residual deformity of the reconstructed facial areas remained a problem in mainly the orbital area. The desire for further treatment and dissatisfaction was high in the operated patients, predominantly for eyelid reconstructions. Another significant wish was for improvement of hearing. In patients with TCS, functional deficits of the face are shown to be as important as the facial appearance. Particularly nasal patency and hearing are frequently impaired and require routine screening and treatment from intake onwards. Furthermore, correction of ear deformities and midface hypoplasia should be offered and performed more frequently. Residual deformity and dissatisfaction remains a problem, especially in reconstructed eyelids. II. Copyright © 2013 British Association of Plastic, Reconstructive and Aesthetic Surgeons. Published by Elsevier Ltd. All rights reserved.
Multi-agent autonomous system and method
NASA Technical Reports Server (NTRS)
Fink, Wolfgang (Inventor); Dohm, James (Inventor); Tarbell, Mark A. (Inventor)
2010-01-01
A method of controlling a plurality of crafts in an operational area includes providing a command system, a first craft in the operational area coupled to the command system, and a second craft in the operational area coupled to the command system. The method further includes determining a first desired destination and a first trajectory to the first desired destination, sending a first command from the command system to the first craft to move a first distance along the first trajectory, and moving the first craft according to the first command. A second desired destination and a second trajectory to the second desired destination are determined and a second command is sent from the command system to the second craft to move a second distance along the second trajectory.
Lou, Wangchao; Wang, Xiaoqing; Chen, Fan; Chen, Yixiao; Jiang, Bo; Zhang, Hua
2014-01-01
Developing an efficient method for determination of the DNA-binding proteins, due to their vital roles in gene regulation, is becoming highly desired since it would be invaluable to advance our understanding of protein functions. In this study, we proposed a new method for the prediction of the DNA-binding proteins, by performing the feature rank using random forest and the wrapper-based feature selection using forward best-first search strategy. The features comprise information from primary sequence, predicted secondary structure, predicted relative solvent accessibility, and position specific scoring matrix. The proposed method, called DBPPred, used Gaussian naïve Bayes as the underlying classifier since it outperformed five other classifiers, including decision tree, logistic regression, k-nearest neighbor, support vector machine with polynomial kernel, and support vector machine with radial basis function. As a result, the proposed DBPPred yields the highest average accuracy of 0.791 and average MCC of 0.583 according to the five-fold cross validation with ten runs on the training benchmark dataset PDB594. Subsequently, blind tests on the independent dataset PDB186 by the proposed model trained on the entire PDB594 dataset and by other five existing methods (including iDNA-Prot, DNA-Prot, DNAbinder, DNABIND and DBD-Threader) were performed, resulting in that the proposed DBPPred yielded the highest accuracy of 0.769, MCC of 0.538, and AUC of 0.790. The independent tests performed by the proposed DBPPred on completely a large non-DNA binding protein dataset and two RNA binding protein datasets also showed improved or comparable quality when compared with the relevant prediction methods. Moreover, we observed that majority of the selected features by the proposed method are statistically significantly different between the mean feature values of the DNA-binding and the non DNA-binding proteins. All of the experimental results indicate that the proposed DBPPred can be an alternative perspective predictor for large-scale determination of DNA-binding proteins. PMID:24475169
Häberle, Lothar; Hack, Carolin C; Heusinger, Katharina; Wagner, Florian; Jud, Sebastian M; Uder, Michael; Beckmann, Matthias W; Schulz-Wendtland, Rüdiger; Wittenberg, Thomas; Fasching, Peter A
2017-08-30
Tumors in radiologically dense breast were overlooked on mammograms more often than tumors in low-density breasts. A fast reproducible and automated method of assessing percentage mammographic density (PMD) would be desirable to support decisions whether ultrasonography should be provided for women in addition to mammography in diagnostic mammography units. PMD assessment has still not been included in clinical routine work, as there are issues of interobserver variability and the procedure is quite time consuming. This study investigated whether fully automatically generated texture features of mammograms can replace time-consuming semi-automatic PMD assessment to predict a patient's risk of having an invasive breast tumor that is visible on ultrasound but masked on mammography (mammography failure). This observational study included 1334 women with invasive breast cancer treated at a hospital-based diagnostic mammography unit. Ultrasound was available for the entire cohort as part of routine diagnosis. Computer-based threshold PMD assessments ("observed PMD") were carried out and 363 texture features were obtained from each mammogram. Several variable selection and regression techniques (univariate selection, lasso, boosting, random forest) were applied to predict PMD from the texture features. The predicted PMD values were each used as new predictor for masking in logistic regression models together with clinical predictors. These four logistic regression models with predicted PMD were compared among themselves and with a logistic regression model with observed PMD. The most accurate masking prediction was determined by cross-validation. About 120 of the 363 texture features were selected for predicting PMD. Density predictions with boosting were the best substitute for observed PMD to predict masking. Overall, the corresponding logistic regression model performed better (cross-validated AUC, 0.747) than one without mammographic density (0.734), but less well than the one with the observed PMD (0.753). However, in patients with an assigned mammography failure risk >10%, covering about half of all masked tumors, the boosting-based model performed at least as accurately as the original PMD model. Automatically generated texture features can replace semi-automatically determined PMD in a prediction model for mammography failure, such that more than 50% of masked tumors could be discovered.
Human Sexual Desire Disorder: Do We Have a Problem?
ERIC Educational Resources Information Center
McNab, Warren L.; Henry, Jean
2006-01-01
Hypoactive Sexual Desire Disorder (HSDD), loss of sexual desire for sexual activity, is one of the most common sexual dysfunctions of men and women in the United States. This article presents an overview of this specific sexual dysfunction including incidence, possible causes, treatment options, and the role of the health educator in addressing…
NASA Astrophysics Data System (ADS)
Teranishi, Masaru; Omatu, Sigeru; Kosaka, Toshihisa
Fatigued monetary bills adversely affect the daily operation of automated teller machines (ATMs). In order to make the classification of fatigued bills more efficient, the development of an automatic fatigued monetary bill classification method is desirable. We propose a new method by which to estimate the fatigue level of monetary bills from the feature-selected frequency band acoustic energy pattern of banking machines. By using a supervised self-organizing map (SOM), we effectively estimate the fatigue level using only the feature-selected frequency band acoustic energy pattern. Furthermore, the feature-selected frequency band acoustic energy pattern improves the estimation accuracy of the fatigue level of monetary bills by adding frequency domain information to the acoustic energy pattern. The experimental results with real monetary bill samples reveal the effectiveness of the proposed method.
Resik, Sonia; Tejeda, Alina; Mach, Ondrej; Sein, Carolyn; Molodecky, Natalie; Jarrahian, Courtney; Saganic, Laura; Zehrung, Darin; Fonseca, Magile; Diaz, Manuel; Alemany, Nilda; Garcia, Gloria; Hung, Lai Heng; Martinez, Yenisleydis; Sutter, Roland W
2015-10-26
The World Health Organization recommends that as part of the polio end-game strategy a dose of inactivated poliovirus vaccine (IPV) be introduced by the end of 2015 in all countries currently using only oral poliovirus vaccine (OPV). Administration of fractional dose (1/5 of full dose) IPV (fIPV) by intradermal (ID) injection may reduce costs, but its conventional administration is with Bacillus Calmette-Guerin (BCG) needle and syringe (NS), which is time consuming and technically challenging. We compared injection quality achieved with BCG NS and three needle-free jet injectors and assessed ergonomic features of the injectors. Children between 12 and 20 months of age who had previously received OPV were enrolled in the Camaguey, Cuba study. Subjects received a single fIPV dose administered intradermally with BCG NS or one of three needle-free injector devices: Bioject Biojector 2000® (B2000), Bioject ID Pen® (ID Pen), or PharmaJet Tropis® (Tropis). We measured bleb diameter and vaccine loss as indicators of ID injection quality, with desirable injection quality defined as bleb diameter ≥5mm and vaccine loss <10%. We surveyed vaccinators to evaluate ergonomic features of the injectors. We further assessed the injection quality indicators as predictors of immune response, measured by increase in poliovirus neutralizing antibodies in blood between day 0 (pre-IPV) and 21 (post-vaccination). Delivery by BCG NS and Tropis resulted in the highest proportion of subjects with desirable injection quality; health workers ranked Biojector2000 and Tropis highest for ergonomic features. We observed that vaccine loss and desirable injection quality were associated with an immune response for poliovirus type 2 (P=0.02, P=0.01, respectively). Our study demonstrated the feasibility of fIPV delivery using needle-free injector devices with high acceptability among health workers. We did not observe the indicators of injection quality to be uniformly associated with immune response. Copyright © 2015. Published by Elsevier Ltd.
Simultaneously firing two cylinders of an even firing camless engine
Brennan, Daniel G
2014-03-11
A valve control system includes an engine speed control module that determines an engine speed and a desired engine stop position. A piston position module determines a desired stopping position of a first piston based on the desired engine stop position. A valve control module receives the desired stopping position, commands a set of valves to close at the desired stopping position if the engine speed is less than a predetermined shutdown threshold, and commands the set of valves to reduce the engine speed if the engine speed is greater than the predetermined shutdown threshold.
A fast, robust algorithm for power line interference cancellation in neural recording.
Keshtkaran, Mohammad Reza; Yang, Zhi
2014-04-01
Power line interference may severely corrupt neural recordings at 50/60 Hz and harmonic frequencies. The interference is usually non-stationary and can vary in frequency, amplitude and phase. To retrieve the gamma-band oscillations at the contaminated frequencies, it is desired to remove the interference without compromising the actual neural signals at the interference frequency bands. In this paper, we present a robust and computationally efficient algorithm for removing power line interference from neural recordings. The algorithm includes four steps. First, an adaptive notch filter is used to estimate the fundamental frequency of the interference. Subsequently, based on the estimated frequency, harmonics are generated by using discrete-time oscillators, and then the amplitude and phase of each harmonic are estimated by using a modified recursive least squares algorithm. Finally, the estimated interference is subtracted from the recorded data. The algorithm does not require any reference signal, and can track the frequency, phase and amplitude of each harmonic. When benchmarked with other popular approaches, our algorithm performs better in terms of noise immunity, convergence speed and output signal-to-noise ratio (SNR). While minimally affecting the signal bands of interest, the algorithm consistently yields fast convergence (<100 ms) and substantial interference rejection (output SNR >30 dB) in different conditions of interference strengths (input SNR from -30 to 30 dB), power line frequencies (45-65 Hz) and phase and amplitude drifts. In addition, the algorithm features a straightforward parameter adjustment since the parameters are independent of the input SNR, input signal power and the sampling rate. A hardware prototype was fabricated in a 65 nm CMOS process and tested. Software implementation of the algorithm has been made available for open access at https://github.com/mrezak/removePLI. The proposed algorithm features a highly robust operation, fast adaptation to interference variations, significant SNR improvement, low computational complexity and memory requirement and straightforward parameter adjustment. These features render the algorithm suitable for wearable and implantable sensor applications, where reliable and real-time cancellation of the interference is desired.
A fast, robust algorithm for power line interference cancellation in neural recording
NASA Astrophysics Data System (ADS)
Keshtkaran, Mohammad Reza; Yang, Zhi
2014-04-01
Objective. Power line interference may severely corrupt neural recordings at 50/60 Hz and harmonic frequencies. The interference is usually non-stationary and can vary in frequency, amplitude and phase. To retrieve the gamma-band oscillations at the contaminated frequencies, it is desired to remove the interference without compromising the actual neural signals at the interference frequency bands. In this paper, we present a robust and computationally efficient algorithm for removing power line interference from neural recordings. Approach. The algorithm includes four steps. First, an adaptive notch filter is used to estimate the fundamental frequency of the interference. Subsequently, based on the estimated frequency, harmonics are generated by using discrete-time oscillators, and then the amplitude and phase of each harmonic are estimated by using a modified recursive least squares algorithm. Finally, the estimated interference is subtracted from the recorded data. Main results. The algorithm does not require any reference signal, and can track the frequency, phase and amplitude of each harmonic. When benchmarked with other popular approaches, our algorithm performs better in terms of noise immunity, convergence speed and output signal-to-noise ratio (SNR). While minimally affecting the signal bands of interest, the algorithm consistently yields fast convergence (<100 ms) and substantial interference rejection (output SNR >30 dB) in different conditions of interference strengths (input SNR from -30 to 30 dB), power line frequencies (45-65 Hz) and phase and amplitude drifts. In addition, the algorithm features a straightforward parameter adjustment since the parameters are independent of the input SNR, input signal power and the sampling rate. A hardware prototype was fabricated in a 65 nm CMOS process and tested. Software implementation of the algorithm has been made available for open access at https://github.com/mrezak/removePLI. Significance. The proposed algorithm features a highly robust operation, fast adaptation to interference variations, significant SNR improvement, low computational complexity and memory requirement and straightforward parameter adjustment. These features render the algorithm suitable for wearable and implantable sensor applications, where reliable and real-time cancellation of the interference is desired.
Ding, Yuzhe; Huang, Eric; Lam, Kit S.; Pan, Tingrui
2015-01-01
Biopatterning has been increasingly used for well-defined cellular microenvironment, patterned surface topology, and guided biological cues; however, it meets additional challenges on biocompatibility, temperature and chemical sensitivity and limited reagent volume. In this paper, we target at combining the desired features from the non-contact inkjet printing and the dot-matrix impact printing to establish a versatile multiplexed micropatterning platform, referred to as Microfluidic Impact Printer (MI-Printer), for emerging biomedical applications. Using this platform, we can achieve the distinct features of no cross-contamination, minute volume manipulation with minimal dead volume, high-throughput and biocompatible printing process, multiplexed patterning with automatic alignment, printing availability for complex medium (cell suspension or colloidal solutions), interchangeable/disposable microfluidic cartridge design with out-of-cleanroom microfabrication, simple printing system assembly and configuration, all highly desirable towards biological applications. Specifically, the printing resolution of the MI-printer platform has been experimentally characterized and theoretically analyzed. Printed droplets with 80µm in diameter have been repeatedly obtained. Furthermore, two unique features of MI-printer platform, multiplexed printing and self-alignment printing, have been successfully experimentally demonstrated (less than 10µm misalignment). In addition, combinatorial patterning and biological patterning, which utilizes the multiplexed and self-alignment printing nature of the MI-printer, have been devised to demonstrate the applicability of this robust printing technique for emerging biomedical applications. PMID:23525299
DOE Office of Scientific and Technical Information (OSTI.GOV)
Not Available
1990-09-01
COMPLEAT takes its name, as an acronym, from Community-Oriented Model for Planning Least-Cost Energy Alternatives and Technologies. It is an electric utility planning model designed for use principally by publicly owned electric utilities and agencies serving such utilities. As a model, COMPLEAT is significantly more full-featured and complex than called out in APPA's original plan and proposal to DOE. The additional complexity grew out of a series of discussions early in the development schedule, in which it became clear to APPA staff and advisors that the simplicity characterizing the original plan, while highly desirable in terms of utility applications, wasmore » not achievable if practical utility problems were to be addressed. The project teams settled on Energy 20/20, an existing model developed by Dr. George Backus of Policy Assessment Associates, as the best candidate for the kinds of modifications and extensions that would be required. The remainder of the project effort was devoted to designing specific input data files, output files, and user screens and to writing and testing the compute programs that would properly implement the desired features around Energy 20/20 as a core program. This report presents in outline form, the features and user interface of COMPLEAT.« less
Desire thinking as a predictor of gambling.
Fernie, Bruce A; Caselli, Gabriele; Giustina, Lucia; Donato, Gilda; Marcotriggiani, Antonella; Spada, Marcantonio M
2014-04-01
Desire thinking is a voluntary cognitive process involving verbal and imaginal elaboration of a desired target. A desired target can relate to an object, an internal state or an activity, such as gambling. This study investigated the role of desire thinking in gambling in a cohort of participants recruited from community and clinical settings. Ninety five individuals completed a battery of self-report measures consisting of the Hospital Anxiety and Depression Scale (HADS), the Gambling Craving Scale (GCS), the Desire Thinking Questionnaire (DTQ) and the South Oaks Gambling Screen (SOGS). Correlation analyses revealed that gender, educational level, recruitment source, anxiety and depression, craving and desire thinking were correlated with gambling. A hierarchical multiple regression analysis revealed that both recruitment source and desire thinking were the only independent predictors of gambling when controlling for all other study variables, including craving. These findings are discussed in the light of metacognitive therapy (MCT). Copyright © 2014 Elsevier Ltd. All rights reserved.
Advanced High-Definition Video Cameras
NASA Technical Reports Server (NTRS)
Glenn, William
2007-01-01
A product line of high-definition color video cameras, now under development, offers a superior combination of desirable characteristics, including high frame rates, high resolutions, low power consumption, and compactness. Several of the cameras feature a 3,840 2,160-pixel format with progressive scanning at 30 frames per second. The power consumption of one of these cameras is about 25 W. The size of the camera, excluding the lens assembly, is 2 by 5 by 7 in. (about 5.1 by 12.7 by 17.8 cm). The aforementioned desirable characteristics are attained at relatively low cost, largely by utilizing digital processing in advanced field-programmable gate arrays (FPGAs) to perform all of the many functions (for example, color balance and contrast adjustments) of a professional color video camera. The processing is programmed in VHDL so that application-specific integrated circuits (ASICs) can be fabricated directly from the program. ["VHDL" signifies VHSIC Hardware Description Language C, a computing language used by the United States Department of Defense for describing, designing, and simulating very-high-speed integrated circuits (VHSICs).] The image-sensor and FPGA clock frequencies in these cameras have generally been much higher than those used in video cameras designed and manufactured elsewhere. Frequently, the outputs of these cameras are converted to other video-camera formats by use of pre- and post-filters.
A system overview of the Aerospace Safety Research and Data Institute data management programs
NASA Technical Reports Server (NTRS)
1972-01-01
The NASA Aerospace Safety Information System, is an interactive, generalized data base management system. The on-line retrieval aspects provide for operating from a variety of terminals (or in batch mode). NASIS retrieval enables the user to expand and display (review) the terms of index (cross reference) files, select desired index terms, combine sets of documents corresponding to selected terms and display the resulting records. It also allows the user to print (record) this information on a high speed printer if desired. NASIS also provides the ability to store the strategy of any given session the user has executed. It has a searching and publication ability through generalized linear search and report generating modules which may be performed interactively or in a batch mode. The user may specify formats for the terminal from which he is operating. The system features an interactive user's guide which explains the various commands available and how to use them as well as explanations for all system messages. This explain capability may be extended, without program changes, to include descriptions of the various files in use. Coupled with the ability of NASIS to run in an MTT (multi-terminal task) mode is its automatic accumulation of statistics on each user of the system as well as each file.
Beyene, Nahom M; Steinfeld, Aaron; Pearlman, Jon; Cooper, Rory A
2012-07-01
This study investigates travel tendencies among people with disabilities and senior citizens in New Delhi, India to reveal relationships between the desire for transportation independence, use of assistive technology for mobility, travel frequency, and satisfaction with available modes of transportation. Study volunteers received invitations to complete a one-time, three-part questionnaire. The survey included an assessment battery developed by the Quality of Life Technology Engineering Research Center, questions featured in the 2002 National Transportation Availability and Use Survey, and a variation on the PARTS/M and FABS/M questionnaires. 80 study participants completed the questionnaire, and were grouped according to driving status as No Driving Experience (NDE), Ceased Driving (CD), and Continue To Drive (CTD). Participants in the NDE group were less likely to use transportation more than twice daily. However, the CD group had the lowest perceived value for available transportation options, with transportation use comparable to the CTD group and an enduring desire to continue driving. Study findings suggest an inner drive for transportation independence. The rise of driving culture internationally presents driver rehabilitation services with challenges due to the need for vehicle modifications and driving assessment using manual transmission automobiles, scooters, and motorcycles.
Amanpour, Behzad; Erfanian, Abbas
2013-01-01
An important issue in designing a practical brain-computer interface (BCI) is the selection of mental tasks to be imagined. Different types of mental tasks have been used in BCI including left, right, foot, and tongue motor imageries. However, the mental tasks are different from the actions to be controlled by the BCI. It is desirable to select a mental task to be consistent with the desired action to be performed by BCI. In this paper, we investigated the detecting the imagination of the hand grasping, hand opening, and hand reaching in one hand using electroencephalographic (EEG) signals. The results show that the ERD/ERS patterns, associated with the imagination of hand grasping, opening, and reaching are different. For classification of brain signals associated with these mental tasks and feature extraction, a method based on wavelet packet, regularized common spatial pattern (CSP), and mutual information is proposed. The results of an offline analysis on five subjects show that the two-class mental tasks can be classified with an average accuracy of 77.6% using proposed method. In addition, we examine the proposed method on datasets IVa from BCI Competition III and IIa from BCI Competition IV.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Duke, Roger T.; Crump, Thomas Vu
The work was created to provide a tool for the purpose of improving the management of tasks associated with Agile projects. Agile projects are typically completed in an iterative manner with many short duration tasks being performed as part of iterations. These iterations are generally referred to as sprints. The objective of this work is to create a single tool that enables sprint teams to manage all of their tasks in multiple sprints and automatically produce all standard sprint performance charts with minimum effort. The format of the printed work is designed to mimic a standard Kanban board. The workmore » is developed as a single Excel file with worksheets capable of managing up to five concurrent sprints and up to one hundred tasks. It also includes a summary worksheet providing performance information from all active sprints. There are many commercial project management systems typically designed with features desired by larger organizations with many resources managing multiple programs and projects. The audience for this work is the small organizations and Agile project teams desiring an inexpensive, simple, user-friendly, task management tool. This work uses standard readily available software, Excel, requiring minimum data entry and automatically creating summary charts and performance data. It is formatted to print out and resemble standard flip charts and provide the visuals associated with this type of work.« less
NASA Astrophysics Data System (ADS)
Lemmer, Kristina
2017-05-01
At present, very few CubeSats have flown in space featuring propulsion systems. Of those that have, the literature is scattered, published in a variety of formats (conference proceedings, contractor websites, technical notes, and journal articles), and often not available for public release. This paper seeks to collect the relevant publically releasable information in one location. To date, only two missions have featured propulsion systems as part of the technology demonstration. The IMPACT mission from the Aerospace Corporation launched several electrospray thrusters from Massachusetts Institute of Technology, and BricSAT-P from the United States Naval Academy had four micro-Cathode Arc Thrusters from George Washington University. Other than these two missions, propulsion on CubeSats has been used only for attitude control and reaction wheel desaturation via cold gas propulsion systems. As the desired capability of CubeSats increases, and more complex missions are planned, propulsion is required to accomplish the science and engineering objectives. This survey includes propulsion systems that have been designed specifically for the CubeSat platform and systems that fit within CubeSat constraints but were developed for other platforms. Throughout the survey, discussion of flight heritage and results of the mission are included where publicly released information and data have been made available. Major categories of propulsion systems that are in this survey are solar sails, cold gas propulsion, electric propulsion, and chemical propulsion systems. Only systems that have been tested in a laboratory or with some flight history are included.
NASA Astrophysics Data System (ADS)
Alseddiqi, M.; Mishra, R.; Pislaru, C.
2012-05-01
This paper diagnoses the implementation of a new engineering course entitled 'school-based learning (SBL) to work-based learning (WBL) transition module' in the Bahrain Technical and Vocational Education (TVE) learning environment. The module was designed to incorporate an innovative education and training approach with a variety of learning activities that are included in various learning case studies. Each case study was based on with learning objectives coupled with desired learning outcomes. The TVE students should meet the desired outcomes after the completion of the learning activities and assessments. To help with the implementation phase of the new module, the authors developed guidelines for each case study. The guidelines incorporated learning activities to be delivered in an integrated learning environment. The skills to be transferred were related to cognitive, affective, and technical proficiencies. The guidelines included structured instructions to help students during the learning process. In addition, technology was introduced to improve learning effectiveness and flexibility. The guidelines include learning indicators for each learning activity and were based on their interrelation with competencies to be achieved with respect to modern industrial requirements. Each learning indicator was then correlated against the type of learning environment, teaching and learning styles, examples of mode of delivery, and assessment strategy. Also, the learning activities were supported by technological features such as discussion forums for social perception and engagement and immediate feedback exercises for self-motivation. Through the developed module, TVE teachers can effectively manage the teaching and learning process as well as the assessment strategy to satisfy students' individual requirements and enable them to meet workplace requirements.
The Extrastriate Body Area Computes Desired Goal States during Action Planning123
2016-01-01
Abstract How do object perception and action interact at a neural level? Here we test the hypothesis that perceptual features, processed by the ventral visuoperceptual stream, are used as priors by the dorsal visuomotor stream to specify goal-directed grasping actions. We present three main findings, which were obtained by combining time-resolved transcranial magnetic stimulation and kinematic tracking of grasp-and-rotate object manipulations, in a group of healthy human participants (N = 22). First, the extrastriate body area (EBA), in the ventral stream, provides an initial structure to motor plans, based on current and desired states of a grasped object and of the grasping hand. Second, the contributions of EBA are earlier in time than those of a caudal intraparietal region known to specify the action plan. Third, the contributions of EBA are particularly important when desired and current object configurations differ, and multiple courses of actions are possible. These findings specify the temporal and functional characteristics for a mechanism that integrates perceptual processing with motor planning. PMID:27066535
Influencing Attitudes Toward Near and Distant Objects
Fujita, Kentaro; Eyal, Tal; Chaiken, Shelly; Trope, Yaacov; Liberman, Nira
2008-01-01
It is argued that the temporal distance of attitude objects systematically changes how the object is mentally represented, and thus influences the strength of particular persuasive appeals. Three experiments tested the hypothesis that people preferentially attend to arguments that highlight primary, abstract (high-level) vs. incidental, concrete (low-level) features when attitude objects are temporally distant vs. near. Results suggested that when attitude objects are temporally distant vs. near, arguments emphasizing primary vs. secondary features (Study 1), desirability vs. feasibility features (Study 2), and general classes vs. specific cases are more persuasive (Study 3). The relation of construal theory to dual process theories of persuasion and persuasion phenomena, such as personal relevance effects and functional matching effects, are discussed. PMID:19884971
Model-Based Learning of Local Image Features for Unsupervised Texture Segmentation
NASA Astrophysics Data System (ADS)
Kiechle, Martin; Storath, Martin; Weinmann, Andreas; Kleinsteuber, Martin
2018-04-01
Features that capture well the textural patterns of a certain class of images are crucial for the performance of texture segmentation methods. The manual selection of features or designing new ones can be a tedious task. Therefore, it is desirable to automatically adapt the features to a certain image or class of images. Typically, this requires a large set of training images with similar textures and ground truth segmentation. In this work, we propose a framework to learn features for texture segmentation when no such training data is available. The cost function for our learning process is constructed to match a commonly used segmentation model, the piecewise constant Mumford-Shah model. This means that the features are learned such that they provide an approximately piecewise constant feature image with a small jump set. Based on this idea, we develop a two-stage algorithm which first learns suitable convolutional features and then performs a segmentation. We note that the features can be learned from a small set of images, from a single image, or even from image patches. The proposed method achieves a competitive rank in the Prague texture segmentation benchmark, and it is effective for segmenting histological images.
Invariant-feature-based adaptive automatic target recognition in obscured 3D point clouds
NASA Astrophysics Data System (ADS)
Khuon, Timothy; Kershner, Charles; Mattei, Enrico; Alverio, Arnel; Rand, Robert
2014-06-01
Target recognition and classification in a 3D point cloud is a non-trivial process due to the nature of the data collected from a sensor system. The signal can be corrupted by noise from the environment, electronic system, A/D converter, etc. Therefore, an adaptive system with a desired tolerance is required to perform classification and recognition optimally. The feature-based pattern recognition algorithm architecture as described below is particularly devised for solving a single-sensor classification non-parametrically. Feature set is extracted from an input point cloud, normalized, and classifier a neural network classifier. For instance, automatic target recognition in an urban area would require different feature sets from one in a dense foliage area. The figure above (see manuscript) illustrates the architecture of the feature based adaptive signature extraction of 3D point cloud including LIDAR, RADAR, and electro-optical data. This network takes a 3D cluster and classifies it into a specific class. The algorithm is a supervised and adaptive classifier with two modes: the training mode and the performing mode. For the training mode, a number of novel patterns are selected from actual or artificial data. A particular 3D cluster is input to the network as shown above for the decision class output. The network consists of three sequential functional modules. The first module is for feature extraction that extracts the input cluster into a set of singular value features or feature vector. Then the feature vector is input into the feature normalization module to normalize and balance it before being fed to the neural net classifier for the classification. The neural net can be trained by actual or artificial novel data until each trained output reaches the declared output within the defined tolerance. In case new novel data is added after the neural net has been learned, the training is then resumed until the neural net has incrementally learned with the new novel data. The associative memory capability of the neural net enables the incremental learning. The back propagation algorithm or support vector machine can be utilized for the classification and recognition.
ERIC Educational Resources Information Center
Crino, Michael D.; And Others
1985-01-01
The random response technique was compared to a direct questionnaire, administered to college students, to investigate whether or not the responses predicted the social desirability of the item. Results suggest support for the hypothesis. A 33-item version of the Marlowe-Crowne Social Desirability Scale which was used is included. (GDC)
Coaching the Coach: A Program for Development of Faculty Portfolio Coaches.
Kopechek, Jack; Bardales, Cheryl; Lash, A Todd; Walker, Curtis; Pfeil, Sheryl; Ledford, Cynthia H
2017-01-01
Faculty coaching is recognized as an essential element for effective use of portfolios in undergraduate medical education, yet best practices for training these coaches are uncertain. New portfolio coaches participated in a multifaceted training program that included orienting modules, a 7.5-hr training workshop featuring analysis of reflective writing, an Observed Structured Teaching Exercise (OSTE), and subsequent longitudinal coaches' meetings for timely task training. Four desired coaching skills were emphasized in the initial training: creating a safe environment, explicitly using performance data, asking questions that elicit reflection, and guiding the student to develop future goals and plans. We collected and analyzed several outcomes: (a) coaches' self-assessment at key intervals, (b) open-ended written responses to three coaching vignettes, (c) video recordings of the OSTE, and (d) subsequent student evaluation of the coach. In an attempt to capture learning from the workshop, both the responses to written vignettes and the video-recorded encounters were coded for presence or absence of the four desired skills. Our portfolio and coaching program was instituted as part of a major undergraduate medical education reform. A new cohort of 25 coaches is enrolled with each matriculating student class, and each coach is assigned to work individually with 8-10 students, forming a coaching relationship that continues over 4 years. Coaches are compensated at 5% full-time equivalent. On coach self-assessment, the majority of coaches reported significant improvement in their perceived ability to assess a student's level of reflection, enhance reflection, use performance data, and guide a student to develop goals and plans. After two semesters, coach perception of improved abilities persisted. Students rated coaches as excellent (82%), reporting that coaches created safe environments (99%), promoted insight (92%), and aided in goal setting (97%). Written responses to vignettes before the OSTE found that several coaches omitted desired behaviors; however, posttraining responses showed no discernable pattern of learning. Coding of the OSTE, in contrast, documented that all coaches demonstrated all four of the desired skills. Although coaches reported learning related to key skills, learning was not apparent when responses to written vignettes were examined. In contrast, skills were demonstrated in the OSTE, perhaps due to the added structured tasks as well as anticipation of feedback. In conclusion, this portfolio coach training program achieved its desired aim of providing students with portfolio coaches who demonstrated the desired skills, as reported by both coaches and students.
In-depth study of the pseudogap in artificial opals
NASA Astrophysics Data System (ADS)
Galisteo-Lopez, Juan F.; Lopez, Cefe
2004-09-01
In this work we present optical and structural characterisation of high-quality opal based photonic crystals consisting of polystyrene spheres ordered into a FCC lattice. By means of optical diffraction we orient our samples so that the evolution of its spectral features in reflectivity experiments may be probed along desired directions in reciprocal space. Prior to a comparison with calculated bands, finite size effects in the optical properties of the samples are taken into account. Further, attention is paid to the appearance of spectral features for energies above those where the characteristic Bragg peak is found.
Inhomogeneous tensionless superstrings
NASA Astrophysics Data System (ADS)
Bagchi, Arjun; Banerjee, Aritra; Chakrabortty, Shankhadeep; Parekh, Pulastya
2018-02-01
We construct a novel tensionless limit of Superstring theory that realises the Inhomogeneous Super Galilean Conformal Algebra (SGCA I ) as the residual symmetry in the analogue of the conformal gauge, as opposed to previous constructions of the tensionless superstring, where a smaller symmetry algebra called the Homogeneous SGCA emerged as the residual gauge symmetry on the worldsheet. We obtain various features of the new tensionless theory intrinsically as well as from a systematic limit of the corresponding features of the tensile theory. We discuss why it is desirable and also natural to work with this new tensionless limit and the larger algebra.
Control method for turbocharged diesel engines having exhaust gas recirculation
Kolmanovsky, Ilya V.; Jankovic, Mrdjan J; Jankovic, Miroslava
2000-03-14
A method of controlling the airflow into a compression ignition engine having an EGR and a VGT. The control strategy includes the steps of generating desired EGR and VGT turbine mass flow rates as a function of the desired and measured compressor mass airflow values and exhaust manifold pressure values. The desired compressor mass airflow and exhaust manifold pressure values are generated as a function of the operator-requested fueling rate and engine speed. The EGR and VGT turbine mass flow rates are then inverted to corresponding EGR and VGT actuator positions to achieve the desired compressor mass airflow rate and exhaust manifold pressure. The control strategy also includes a method of estimating the intake manifold pressure used in generating the EGR valve and VGT turbine positions.
The Recession and Education: Seize New Opportunities!
ERIC Educational Resources Information Center
Haskvitz, Alan
2011-01-01
The teaching profession has long been thought of as recession proof. Indeed, that may have been one of the reasons why teachers took far lower starting salaries right out of college. Perhaps the greatest common feature of teachers, besides their desire to serve society in a humanitarian way, may be the lack of risk-taking the occupation previously…
Databank Software for the 1990s and Beyond--Part 1: The User's Wish List.
ERIC Educational Resources Information Center
Basch, Reva
1990-01-01
Describes desired software enhancements identified by the Southern California Online Users Group in the areas of search language, database selection, document retrieval and display, user interface, customer support, and cost and economic issues. The need to prioritize these wishes and to determine whether features should reside in the mainframe or…
A Pocock Approach to Sequential Meta-Analysis of Clinical Trials
ERIC Educational Resources Information Center
Shuster, Jonathan J.; Neu, Josef
2013-01-01
Three recent papers have provided sequential methods for meta-analysis of two-treatment randomized clinical trials. This paper provides an alternate approach that has three desirable features. First, when carried out prospectively (i.e., we only have the results up to the time of our current analysis), we do not require knowledge of the…
ERIC Educational Resources Information Center
Hamilton, Eric
2015-01-01
Educational technologies have advanced one of the most important visions of educational reformers, to customize formal and informal learning to individuals. The application of a complex systems framework to the design of learning ecologies suggests that each of a series of ten desirable and malleable features stimulates or propels the other ten,…
A Bending Willow Tree: A Japanese (Morita Therapy) Model of Human Nature and Client Change.
ERIC Educational Resources Information Center
Ishiyama, F. Ishu
2003-01-01
Japanese Morita therapy is discussed to highlight its culturally and theoretically unique perspectives on human nature and client change. Key features of this theory are: theory of the nervous trait; multiple-dimensional model of causes and treatment of nervous neurosis; theory of mental attachment; reframing anxiety into constructive desires; and…
Digital slip frequency generator and method for determining the desired slip frequency
Klein, Frederick F.
1989-01-01
The output frequency of an electric power generator is kept constant with variable rotor speed by automatic adjustment of the excitation slip frequency. The invention features a digital slip frequency generator which provides sine and cosine waveforms from a look-up table, which are combined with real and reactive power output of the power generator.
ERIC Educational Resources Information Center
Cheung, Jeffrey J. H.; Kulasegaram, Kulamakan M.; Woods, Nicole N.; Moulton, Carol-anne; Ringsted, Charlotte V.; Brydges, Ryan
2018-01-01
Transfer is a desired outcome of simulation-based training, yet evidence for how instructional design features promote transfer is lacking. In clinical reasoning, transfer is improved when trainees experience instruction integrating basic science explanations with clinical signs and symptoms. To test whether integrated instruction has similar…
Facile, eco-friendly, catalyst-free synthesis of polyfunctionalized quinoxalines.
Zhang, Yaohong; Luo, Mengqiang; Li, Yan; Wang, Hai; Ren, Xiaorong; Qi, Chenze
2018-02-01
A novel, facile and eco-friendly synthesis of quinoxalines from [Formula: see text] and 1,2-diamines was developed. An attractive feature of this protocol is that the desired products could be generated efficiently in water and without any catalyst, which is in accordance with the aim of green chemistry. A plausible mechanism has been proposed.
ERIC Educational Resources Information Center
Lohr, Sharon L.; Zhu, Xiaoshu
2017-01-01
Many randomized experiments in the social sciences allocate subjects to treatment arms at the time the subjects enroll. Desirable features of the mechanism used to assign subjects to treatment arms are often (1) equal numbers of subjects in intervention and control arms, (2) balanced allocation for population subgroups and across covariates, (3)…
USDA-ARS?s Scientific Manuscript database
Determination of physiological state (age?) in insects is useful in furthering our understanding of how insect behavior changes with age. Central to this determination is the identification of characters that allow assessment of physiological age. While non-destructive measures are the most desired ...
ERIC Educational Resources Information Center
Forsyth, Carol M.; Graesser, Arthur C.; Pavlik, Philip, Jr.; Cai, Zhiqiang; Butler, Heather; Halpern, Diane; Millis, Keith
2013-01-01
Operation ARIES! is an Intelligent Tutoring System that is designed to teach scientific methodology in a game-like atmosphere. A fundamental goal of this serious game is to engage students during learning through natural language tutorial conversations. A tight integration of cognition, discourse, motivation, and affect is desired to meet this…
Supporting Online Faculty Holistically: Developing a Support Website Resource
ERIC Educational Resources Information Center
Nordin, Eric; Anthony, Peter John
2014-01-01
Current trends in post-secondary education enrollment indicate that colleges and universities are likely to experience an increase in the number of online students. The purpose of this study was to ascertain the type of resources and support features online faculty need, desire, and expect in a support website. The method used to collect research…
Bibliographic Displays in OPACs and Web Catalogs: How Well Do They Comply with Display Guidelines?
ERIC Educational Resources Information Center
Cherry, Joan M.
1998-01-01
Evaluation of data from assessments of full bibliographic displays in academic library OPACs (online public access catalogs) and World Wide Web catalogs against a checklist of desirable features found that OPAC displays scored 58% and Web displays scored 60%. Discusses weaknesses, focusing on those found in the majority of the displays…
ERIC Educational Resources Information Center
Cravens, Xiu; Drake, Timothy A.; Goldring, Ellen; Schuermann, Patrick
2017-01-01
Purpose: The purpose of this paper is to study the viability of implementing a protocol-guided model designed to provide structure and focus for teacher collaboration from Shanghai in today's US public schools. The authors examine whether the new model, Teacher Peer Excellence Group (TPEG), fosters the desired key features of productive…
Young Children's Knowledge about the Influence of Thoughts on Emotions in Rule Situations
ERIC Educational Resources Information Center
Lagattuta, Kristin Hansen
2008-01-01
Four-year-olds, 5-year-olds, and adults (N = 48) listened to stories featuring characters that experienced one of four types of thoughts after deciding to transgress or comply with a rule: thoughts about desires, rules, future negative outcomes, or future punishment. Participants predicted and explained the characters' emotions. Results showed…
Salari, Nader; Shohaimi, Shamarina; Najafi, Farid; Nallappan, Meenakshii; Karishnarajah, Isthrinayagy
2014-01-01
Among numerous artificial intelligence approaches, k-Nearest Neighbor algorithms, genetic algorithms, and artificial neural networks are considered as the most common and effective methods in classification problems in numerous studies. In the present study, the results of the implementation of a novel hybrid feature selection-classification model using the above mentioned methods are presented. The purpose is benefitting from the synergies obtained from combining these technologies for the development of classification models. Such a combination creates an opportunity to invest in the strength of each algorithm, and is an approach to make up for their deficiencies. To develop proposed model, with the aim of obtaining the best array of features, first, feature ranking techniques such as the Fisher's discriminant ratio and class separability criteria were used to prioritize features. Second, the obtained results that included arrays of the top-ranked features were used as the initial population of a genetic algorithm to produce optimum arrays of features. Third, using a modified k-Nearest Neighbor method as well as an improved method of backpropagation neural networks, the classification process was advanced based on optimum arrays of the features selected by genetic algorithms. The performance of the proposed model was compared with thirteen well-known classification models based on seven datasets. Furthermore, the statistical analysis was performed using the Friedman test followed by post-hoc tests. The experimental findings indicated that the novel proposed hybrid model resulted in significantly better classification performance compared with all 13 classification methods. Finally, the performance results of the proposed model was benchmarked against the best ones reported as the state-of-the-art classifiers in terms of classification accuracy for the same data sets. The substantial findings of the comprehensive comparative study revealed that performance of the proposed model in terms of classification accuracy is desirable, promising, and competitive to the existing state-of-the-art classification models. PMID:25419659
Narratives of desire in mid-age women with and without arousal difficulties.
Brotto, Lori A; Heiman, Julia R; Tolman, Deborah L
2009-01-01
There is controversy about the nature of women's sexual desire. The aim was to explore narrative descriptions of sexual desire among mid-aged women in hopes of clarifying how women define and experience sexual desire, and how these might differ among women with and without female sexual arousal disorder (FSAD). Mid-aged women without (age: M = 45, n = 12) and with (age: M = 55, n = 10) FSAD took part in in-depth interviews that invited them to share personal stories of sexual desire. Women also completed the Brief Index of Sexual Functioning and the Female Sexual Function Index (FSFI). Women in both groups described sexual desire in genital, non-genital physical, and in cognitive-emotional terms. Although women with FSAD had low ratings of sexual desire on the FSFI, they could recall recent experiences of desire that did not differ from the control group. Women identified a number of triggers of desire including touch, memories, and partner's responses--the latter of which acted as both a trigger and an inhibitor. Women in the control group were more likely to express conflation about the distinction between desire and arousal. Among the different "objects" of women's desire, most women acknowledged emotional connection as most important.
Soft-lithography fabrication of microfluidic features using thiol-ene formulations.
Ashley, John F; Cramer, Neil B; Davis, Robert H; Bowman, Christopher N
2011-08-21
In this work, a novel thiol-ene based photopolymerizable resin formulation was shown to exhibit highly desirable characteristics, such as low cure time and the ability to overcome oxygen inhibition, for the photolithographic fabrication of microfluidic devices. The feature fidelity, as well as various aspects of the feature shape and quality, were assessed as functions of various resin attributes, particularly the exposure conditions, initiator concentration and inhibitor to initiator ratio. An optical technique was utilized to evaluate the feature fidelity as well as the feature shape and quality. These results were used to optimize the thiol-ene resin formulation to produce high fidelity, high aspect ratio features without significant reductions in feature quality. For structures with aspect ratios below 2, little difference (<3%) in feature quality was observed between thiol-ene and acrylate based formulations. However, at higher aspect ratios, the thiol-ene resin exhibited significantly improved feature quality. At an aspect ratio of 8, raised feature quality for the thiol-ene resin was dramatically better than that achieved by using the acrylate resin. The use of the thiol-ene based resin enabled fabrication of a pinched-flow microfluidic device that has complex channel geometry, small (50 μm) channel dimensions, and high aspect ratio (14) features. This journal is © The Royal Society of Chemistry 2011
Discriminative feature representation: an effective postprocessing solution to low dose CT imaging
NASA Astrophysics Data System (ADS)
Chen, Yang; Liu, Jin; Hu, Yining; Yang, Jian; Shi, Luyao; Shu, Huazhong; Gui, Zhiguo; Coatrieux, Gouenou; Luo, Limin
2017-03-01
This paper proposes a concise and effective approach termed discriminative feature representation (DFR) for low dose computerized tomography (LDCT) image processing, which is currently a challenging problem in medical imaging field. This DFR method assumes LDCT images as the superposition of desirable high dose CT (HDCT) 3D features and undesirable noise-artifact 3D features (the combined term of noise and artifact features induced by low dose scan protocols), and the decomposed HDCT features are used to provide the processed LDCT images with higher quality. The target HDCT features are solved via the DFR algorithm using a featured dictionary composed by atoms representing HDCT features and noise-artifact features. In this study, the featured dictionary is efficiently built using physical phantom images collected from the same CT scanner as the target clinical LDCT images to process. The proposed DFR method also has good robustness in parameter setting for different CT scanner types. This DFR method can be directly applied to process DICOM formatted LDCT images, and has good applicability to current CT systems. Comparative experiments with abdomen LDCT data validate the good performance of the proposed approach. This research was supported by National Natural Science Foundation under grants (81370040, 81530060), the Fundamental Research Funds for the Central Universities, and the Qing Lan Project in Jiangsu Province.
Perceptual quality estimation of H.264/AVC videos using reduced-reference and no-reference models
NASA Astrophysics Data System (ADS)
Shahid, Muhammad; Pandremmenou, Katerina; Kondi, Lisimachos P.; Rossholm, Andreas; Lövström, Benny
2016-09-01
Reduced-reference (RR) and no-reference (NR) models for video quality estimation, using features that account for the impact of coding artifacts, spatio-temporal complexity, and packet losses, are proposed. The purpose of this study is to analyze a number of potentially quality-relevant features in order to select the most suitable set of features for building the desired models. The proposed sets of features have not been used in the literature and some of the features are used for the first time in this study. The features are employed by the least absolute shrinkage and selection operator (LASSO), which selects only the most influential of them toward perceptual quality. For comparison, we apply feature selection in the complete feature sets and ridge regression on the reduced sets. The models are validated using a database of H.264/AVC encoded videos that were subjectively assessed for quality in an ITU-T compliant laboratory. We infer that just two features selected by RR LASSO and two bitstream-based features selected by NR LASSO are able to estimate perceptual quality with high accuracy, higher than that of ridge, which uses more features. The comparisons with competing works and two full-reference metrics also verify the superiority of our models.
Applebaum, Mark A; Lawson, Erica F; von Scheven, Emily
2013-01-01
Efforts to facilitate transition of care to adult providers for adolescents with chronic disease are not uniformly successful and many patients encounter challenges. The goal of this study was to assess transition readiness and preferences for tools to aid in the transition process with an emphasis on technology and social media. We surveyed and performed focus groups on patients aged 13-21 years from a pediatric university-based rheumatology and general pediatric practice. Demographics and transition readiness were assessed using a questionnaire. Transition readiness was assessed by examining patient knowledge and independence with care. Focus groups were conducted to elicit perspectives about desirable features of a transition program and useful tools. Thirty-five patients completed surveys; and 20 patients and 13 of their parents participated in a focus group. The median patient age was 17 years and 74.3% were female. A Likert scale (0-10, 10=most) was used to evaluate concern over changing to an adult medical provider, (mean=6.4, SD=2.6), preparedness for disease self-management (mean=6.0, SD=2.8), and perceived importance of self-managing their condition (mean=7.1, SD=3.1). Themes that emerged from focus groups included a desire for support groups with other teens, a preference for using text messaging for communication and a desire for an online health management program. Teens with chronic disease are able to identify health maintenance tasks and strategies that will aid in developing independence with healthcare management. These findings support the idea that developing engaging applications and support groups will assist teens in the transitioning.
Vedanthan, Rajesh; Blank, Evan; Tuikong, Nelly; Kamano, Jemima; Misoi, Lawrence; Tulienge, Deborah; Hutchinson, Claire; Ascheim, Deborah D; Kimaiyo, Sylvester; Fuster, Valentin; Were, Martin C
2015-03-01
Mobile health (mHealth) applications have recently proliferated, especially in low- and middle-income countries, complementing task-redistribution strategies with clinical decision support. Relatively few studies address usability and feasibility issues that may impact success or failure of implementation, and few have been conducted for non-communicable diseases such as hypertension. To conduct iterative usability and feasibility testing of a tablet-based Decision Support and Integrated Record-keeping (DESIRE) tool, a technology intended to assist rural clinicians taking care of hypertension patients at the community level in a resource-limited setting in western Kenya. Usability testing consisted of "think aloud" exercises and "mock patient encounters" with five nurses, as well as one focus group discussion. Feasibility testing consisted of semi-structured interviews of five nurses and two members of the implementation team, and one focus group discussion with nurses. Content analysis was performed using both deductive codes and significant inductive codes. Critical incidents were identified and ranked according to severity. A cause-of-error analysis was used to develop corresponding design change suggestions. Fifty-seven critical incidents were identified in usability testing, 21 of which were unique. The cause-of-error analysis yielded 23 design change suggestions. Feasibility themes included barriers to implementation along both human and technical axes, facilitators to implementation, provider issues, patient issues and feature requests. This participatory, iterative human-centered design process revealed previously unaddressed usability and feasibility issues affecting the implementation of the DESIRE tool in western Kenya. In addition to well-known technical issues, we highlight the importance of human factors that can impact implementation of mHealth interventions. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.
Vedanthan, Rajesh; Blank, Evan; Tuikong, Nelly; Kamano, Jemima; Misoi, Lawrence; Tulienge, Deborah; Hutchinson, Claire; Ascheim, Deborah D.; Kimaiyo, Sylvester; Fuster, Valentin; Were, Martin C.
2015-01-01
Background Mobile health (mHealth) applications have recently proliferated, especially in low- and middle-income countries, complementing task-redistribution strategies with clinical decision support. Relatively few studies address usability and feasibility issues that may impact success or failure of implementation, and few have been conducted for non-communicable diseases such as hypertension. Objective To conduct iterative usability and feasibility testing of a tablet-based Decision Support and Integrated Record-keeping (DESIRE) tool, a technology intended to assist rural clinicians taking care of hypertension patients at the community level in a resource-limited setting in western Kenya. Methods Usability testing consisted of “think aloud” exercises and “mock patient encounters” with five nurses, as well as one focus group discussion. Feasibility testing consisted of semi-structured interviews of five nurses and two members of the implementation team, and one focus group discussion with nurses. Content analysis was performed using both deductive codes and significant inductive codes. Critical incidents were identified and ranked according to severity. A cause-of-error analysis was used to develop corresponding design change suggestions. Results Fifty-seven critical incidents were identified in usability testing, 21 of which were unique. The cause-of-error analysis yielded 23 design change suggestions. Feasibility themes included barriers to implementation along both human and technical axes, facilitators to implementation, provider issues, patient issues and feature requests. Conclusions This participatory, iterative human-centered design process revealed previously unaddressed usability and feasibility issues affecting the implementation of the DESIRE tool in western Kenya. In addition to well-known technical issues, we highlight the importance of human factors that can impact implementation of mHealth interventions. PMID:25612791
Childhood hyperactivity/inattention and eating disturbances predict binge eating in adolescence
Sonneville, Kendrin R.; Calzo, Jerel P.; Horton, Nicholas J.; Field, Alison E.; Crosby, Ross D.; Solmi, Francesca; Micali, Nadia
2015-01-01
Background Identifying childhood predictors of binge eating and understanding risk mechanisms could help improve prevention and detection efforts. The aim of this study was to examine whether features of attention deficit-hyperactivity disorder (ADHD), as well as childhood eating disturbances, predicted binge eating later in adolescence. Method We studied specific risk factors for the development of binge eating during mid-adolescence among 7,120 males and females from the Avon Longitudinal Study of Parents and Children (ALSPAC), a cohort study of children in the United Kingdom, using data from multiple informants to develop structural equation models. Repeated assessment of eating disturbances during childhood (mid-childhood overeating, late-childhood overeating, and early-adolescent strong desire for food), as well as teacher and parent reported hyperactivity/inattention during mid- and late-childhood, were considered as possible predictors of mid-adolescent binge eating. Results Prevalence of binge eating during mid-adolescence in our sample was 11.6%. The final model of predictors of binge eating during mid-adolescence included direct effects of late-childhood overeating (standardized estimate: 0.145, 95% CI: 0.038, 0.259; p=0.009) and early-adolescent strong desire for food (standardized estimate: 0.088, 95% CI: −0.002, 0.169; p=0.05). Hyperactivity/inattention during late-childhood indirectly predicted binge eating during mid-adolescence (standardized estimate: 0.085, 95% CI: 0.007, 0.128; p=0.03) via late-childhood overeating and early-adolescent strong desire for food. Conclusions Our findings indicate that early ADHD symptoms, in addition to an overeating phenotype, contribute to risk for adolescent binge eating. These findings lend support to the potential role of hyperactivity/inattention in the development of overeating and binge eating. PMID:26098685
Thomas, Treye; Thomas, Karluss; Sadrieh, Nakissa; Savage, Nora; Adair, Patricia; Bronaugh, Robert
2006-05-01
Considerable media attention has recently been given to novel applications for products that contain nanoscale materials. These products could have utility in several industries that market consumer products, including textiles, sporting equipment, cosmetics, consumer electronics, and household cleaners. Some of the purported benefits of these products include improved performance, convenience, lower cost, as well as other desirable features, when compared to the conventional products that do not contain nanoscale materials. Although there are numerous likely consumer advantages from products containing nanoscale materials, there is very little information available regarding consumer exposure to the nanoscale materials in these products or any associated risks from these exposures. This paper seeks to review a limited subset of products that contain nanoscale materials, assess the available data for evaluating the consumer exposures and potential hazards associated with these products, and discuss the capacity of U.S. regulatory agencies to address the potential risks associated with these products.
Photonic crystal fiber long-period gratings for structural monitoring and chemical sensing
NASA Astrophysics Data System (ADS)
Tang, Jaw-Luen; Wang, Jian-Neng
2008-03-01
We present a simple, low-cost, temperature- and strain-insensitive long-period gratings (LPGs) written in photonic crystal fibers (PCFs) that can be used as sensitive chemical solution sensors or bend sensors for a variety of industrial applications, including civil engineering, aircraft, chemistry, food industry, and biosensing. Three different configurations of PCFs have been used for this study, including a polarization maintaining PCF, a large mode area PCF and an endlessly single mode PCF. These LPGs have been characterized for their sensitivity to temperature, strain, bending, and surrounding refractive index. Transmission spectra of the LPGs were found to exhibit negligible temperature and strain sensitivities, whereas possessing usable sensitivity to refractive index and bending. This type of PCF sensor could in principle be designed for optimum sensitivity to desired measurand(s), while minimizing or removing undesirable cross-sensitivities. The unique sensing features of PCFs are particularly suited for a wide variety of applications in smart structures, embedded materials, telecommunications and sensor systems.
Ideas for Future GPS Timing Improvements
NASA Technical Reports Server (NTRS)
Hutsell, Steven T.
1996-01-01
Having recently met stringent criteria for full operational capability (FOC) certification, the Global Positioning System (GPS) now has higher customer expectations than ever before. In order to maintain customer satisfaction, and the meet the even high customer demands of the future, the GPS Master Control Station (MCS) must play a critical role in the process of carefully refining the performance and integrity of the GPS constellation, particularly in the area of timing. This paper will present an operational perspective on several ideas for improving timing in GPS. These ideas include the desire for improving MCS - US Naval Observatory (USNO) data connectivity, an improved GPS-Coordinated Universal Time (UTC) prediction algorithm, a more robust Kalman Filter, and more features in the GPS reference time algorithm (the GPS composite clock), including frequency step resolution, a more explicit use of the basic time scale equation, and dynamic clock weighting. Current MCS software meets the exceptional challenge of managing an extremely complex constellation of 24 navigation satellites. The GPS community will, however, always seek to improve upon this performance and integrity.
Assessing and managing breast cancer risk: clinicians' current practice and future needs.
Collins, Ian M; Steel, Emma; Mann, G Bruce; Emery, Jon D; Bickerstaffe, Adrian; Trainer, Alison; Butow, Phyllis; Pirotta, Marie; Antoniou, Antonis C; Cuzick, Jack; Hopper, John; Phillips, Kelly-Anne; Keogh, Louise A
2014-10-01
Decision support tools for the assessment and management of breast cancer risk may improve uptake of prevention strategies. End-user input in the design of such tools is critical to increase clinical use. Before developing such a computerized tool, we examined clinicians' practice and future needs. Twelve breast surgeons, 12 primary care physicians and 5 practice nurses participated in 4 focus groups. These were recorded, coded, and analyzed to identify key themes. Participants identified difficulties assessing risk, including a lack of available tools to standardize practice. Most expressed confidence identifying women at potentially high risk, but not moderate risk. Participants felt a tool could especially reassure young women at average risk. Desirable features included: evidence-based, accessible (e.g. web-based), and displaying absolute (not relative) risks in multiple formats. The potential to create anxiety was a concern. Development of future tools should address these issues to optimize translation of knowledge into clinical practice. Copyright © 2014 Elsevier Ltd. All rights reserved.
The Rocket Balloon (Rocketball): Applications to Science, Technology, and Education
NASA Technical Reports Server (NTRS)
Esper, Jaime
2009-01-01
Originally envisioned to study upper atmospheric phenomena, the Rocket Balloon system (or Rocketball for short) has utility in a range of applications, including sprite detection and in-situ measurements, near-space measurements and calibration correlation with orbital assets, hurricane observation and characterization, technology testing and validation, ground observation, and education. A salient feature includes the need to reach space and near-space within a critical time-frame and in adverse local meteorological conditions. It can also provide for the execution of technology validation and operational demonstrations at a fraction of the cost of a space flight. In particular, planetary entry probe proof-of-concepts can be examined. A typical Rocketball operational scenario consists of a sounding rocket launch and subsequent deployment of a balloon above a desired location. An obvious advantage of this combination is the additional mission 'hang-time' rendered by the balloon once the sounding rocket flight is completed. The system leverages current and emergent technologies at the NASA Goddard Space Flight Center and other organizations.
Scientific Visualization Using the Flow Analysis Software Toolkit (FAST)
NASA Technical Reports Server (NTRS)
Bancroft, Gordon V.; Kelaita, Paul G.; Mccabe, R. Kevin; Merritt, Fergus J.; Plessel, Todd C.; Sandstrom, Timothy A.; West, John T.
1993-01-01
Over the past few years the Flow Analysis Software Toolkit (FAST) has matured into a useful tool for visualizing and analyzing scientific data on high-performance graphics workstations. Originally designed for visualizing the results of fluid dynamics research, FAST has demonstrated its flexibility by being used in several other areas of scientific research. These research areas include earth and space sciences, acid rain and ozone modelling, and automotive design, just to name a few. This paper describes the current status of FAST, including the basic concepts, architecture, existing functionality and features, and some of the known applications for which FAST is being used. A few of the applications, by both NASA and non-NASA agencies, are outlined in more detail. Described in the Outlines are the goals of each visualization project, the techniques or 'tricks' used lo produce the desired results, and custom modifications to FAST, if any, done to further enhance the analysis. Some of the future directions for FAST are also described.
A bio-inspired method and system for visual object-based attention and segmentation
NASA Astrophysics Data System (ADS)
Huber, David J.; Khosla, Deepak
2010-04-01
This paper describes a method and system of human-like attention and object segmentation in visual scenes that (1) attends to regions in a scene in their rank of saliency in the image, (2) extracts the boundary of an attended proto-object based on feature contours, and (3) can be biased to boost the attention paid to specific features in a scene, such as those of a desired target object in static and video imagery. The purpose of the system is to identify regions of a scene of potential importance and extract the region data for processing by an object recognition and classification algorithm. The attention process can be performed in a default, bottom-up manner or a directed, top-down manner which will assign a preference to certain features over others. One can apply this system to any static scene, whether that is a still photograph or imagery captured from video. We employ algorithms that are motivated by findings in neuroscience, psychology, and cognitive science to construct a system that is novel in its modular and stepwise approach to the problems of attention and region extraction, its application of a flooding algorithm to break apart an image into smaller proto-objects based on feature density, and its ability to join smaller regions of similar features into larger proto-objects. This approach allows many complicated operations to be carried out by the system in a very short time, approaching real-time. A researcher can use this system as a robust front-end to a larger system that includes object recognition and scene understanding modules; it is engineered to function over a broad range of situations and can be applied to any scene with minimal tuning from the user.
Oestrogen and anti-androgen therapy for transgender women
Tangpricha, Vin; den Heijer, Martin
2016-01-01
Transgender women experience lifelong gender dysphoria due to a gender assignment at birth that is incongruent with their gender identity. They often seek hormone therapy, with or without surgery, to improve their gender dysphoria and to better align their physical and psychological features with a more feminine gender role. Some of the desired physical changes from oestrogen and anti-androgen therapy include decreased body and facial hair, decreased muscle mass, breast growth, and redistribution of fat. Overall the risks of treatment are low, but include thromboembolism, the risk of which depends on the dose and route of oestrogen administration. Other associated conditions commonly seen in transgender women include increased risks of depression and osteoporosis. The risk of hormone-sensitive cancer seems to be low in transgender women, with no increased risk of breast cancer compared with women and no increase in prostate cancer when compared with men. The evidence base for the care of transgender women is limited by the paucity of high-quality research, and long-term longitudinal studies are needed to inform future guidelines. PMID:27916515
NASA Astrophysics Data System (ADS)
van Es, Maarten H.; Mohtashami, Abbas; Piras, Daniele; Sadeghian, Hamed
2018-03-01
Nondestructive subsurface nanoimaging through optically opaque media is considered to be extremely challenging and is essential for several semiconductor metrology applications including overlay and alignment and buried void and defect characterization. The current key challenge in overlay and alignment is the measurement of targets that are covered by optically opaque layers. Moreover, with the device dimensions moving to the smaller nodes and the issue of the so-called loading effect causing offsets between between targets and product features, it is increasingly desirable to perform alignment and overlay on product features or so-called on-cell overlay, which requires higher lateral resolution than optical methods can provide. Our recently developed technique known as SubSurface Ultrasonic Resonance Force Microscopy (SSURFM) has shown the capability for high-resolution imaging of structures below a surface based on (visco-)elasticity of the constituent materials and as such is a promising technique to perform overlay and alignment with high resolution in upcoming production nodes. In this paper, we describe the developed SSURFM technique and the experimental results on imaging buried features through various layers and the ability to detect objects with resolution below 10 nm. In summary, the experimental results show that the SSURFM is a potential solution for on-cell overlay and alignment as well as detecting buried defects or voids and generally metrology through optically opaque layers.
Learning-based saliency model with depth information.
Ma, Chih-Yao; Hang, Hsueh-Ming
2015-01-01
Most previous studies on visual saliency focused on two-dimensional (2D) scenes. Due to the rapidly growing three-dimensional (3D) video applications, it is very desirable to know how depth information affects human visual attention. In this study, we first conducted eye-fixation experiments on 3D images. Our fixation data set comprises 475 3D images and 16 subjects. We used a Tobii TX300 eye tracker (Tobii, Stockholm, Sweden) to track the eye movement of each subject. In addition, this database contains 475 computed depth maps. Due to the scarcity of public-domain 3D fixation data, this data set should be useful to the 3D visual attention research community. Then, a learning-based visual attention model was designed to predict human attention. In addition to the popular 2D features, we included the depth map and its derived features. The results indicate that the extra depth information can enhance the saliency estimation accuracy specifically for close-up objects hidden in a complex-texture background. In addition, we examined the effectiveness of various low-, mid-, and high-level features on saliency prediction. Compared with both 2D and 3D state-of-the-art saliency estimation models, our methods show better performance on the 3D test images. The eye-tracking database and the MATLAB source codes for the proposed saliency model and evaluation methods are available on our website.
Intelligent Gearbox Diagnosis Methods Based on SVM, Wavelet Lifting and RBR
Gao, Lixin; Ren, Zhiqiang; Tang, Wenliang; Wang, Huaqing; Chen, Peng
2010-01-01
Given the problems in intelligent gearbox diagnosis methods, it is difficult to obtain the desired information and a large enough sample size to study; therefore, we propose the application of various methods for gearbox fault diagnosis, including wavelet lifting, a support vector machine (SVM) and rule-based reasoning (RBR). In a complex field environment, it is less likely for machines to have the same fault; moreover, the fault features can also vary. Therefore, a SVM could be used for the initial diagnosis. First, gearbox vibration signals were processed with wavelet packet decomposition, and the signal energy coefficients of each frequency band were extracted and used as input feature vectors in SVM for normal and faulty pattern recognition. Second, precision analysis using wavelet lifting could successfully filter out the noisy signals while maintaining the impulse characteristics of the fault; thus effectively extracting the fault frequency of the machine. Lastly, the knowledge base was built based on the field rules summarized by experts to identify the detailed fault type. Results have shown that SVM is a powerful tool to accomplish gearbox fault pattern recognition when the sample size is small, whereas the wavelet lifting scheme can effectively extract fault features, and rule-based reasoning can be used to identify the detailed fault type. Therefore, a method that combines SVM, wavelet lifting and rule-based reasoning ensures effective gearbox fault diagnosis. PMID:22399894
The Supercritical Pile GRB Model: The Prompt to Afterglow Evolution
NASA Technical Reports Server (NTRS)
Mastichiadis, A.; Kazanas, D.
2009-01-01
The "Supercritical Pile" is a very economical GRB model that provides for the efficient conversion of the energy stored in the protons of a Relativistic Blast Wave (RBW) into radiation and at the same time produces - in the prompt GRB phase, even in the absence of any particle acceleration - a spectral peak at energy approx. 1 MeV. We extend this model to include the evolution of the RBW Lorentz factor Gamma and thus follow its spectral and temporal features into the early GRB afterglow stage. One of the novel features of the present treatment is the inclusion of the feedback of the GRB produced radiation on the evolution of Gamma with radius. This feedback and the presence of kinematic and dynamic thresholds in the model can be the sources of rich time evolution which we have began to explore. In particular. one can this may obtain afterglow light curves with steep decays followed by the more conventional flatter afterglow slopes, while at the same time preserving the desirable features of the model, i.e. the well defined relativistic electron source and radiative processes that produce the proper peak in the (nu)F(sub nu), spectra. In this note we present the results of a specific set of parameters of this model with emphasis on the multiwavelength prompt emission and transition to the early afterglow.
Herbeć, Aleksandra; Perski, Olga; Shahab, Lion; West, Robert
2018-02-07
Smartphone-based personal carbon monoxide (CO) monitors and associated apps, or "CO Smartphone Systems" (CSSs) for short, could enable smokers to independently monitor their smoking and quitting. This study explored views and preferences regarding CSSs and their use among 16 adult, UK-based smokers. First, semi-structured interviews explored participants' expectations of CSSs. Secondly, a think-aloud study identified participants' reactions to a personal CO monitor and to existing or prototype apps. Framework Analysis identified five themes: (1) General views, needs, and motivation to use CSSs; (2) Views on the personal CO monitor; (3) Practicalities of CSS use; (4) Desired features in associated apps; and (5) Factors affecting preferences for CSSs and their use. Participants had high expectations of CSSs and their potential to increase motivation. Priority app features included: easy CO testing journeys, relevant and motivating feedback, and recording of contextual data. Appearance and usability of the personal CO monitor, and accuracy and relevance of CO testing were considered important for engagement. Participants differed in their motivation to use and preferences for CSSs features and use, which might have non-trivial impact on evaluation efforts. Personal CO monitors and associated apps may be attractive tools for smokers, but making CSSs easy to use and evaluating these among different groups of smokers may be challenging.
Intelligent gearbox diagnosis methods based on SVM, wavelet lifting and RBR.
Gao, Lixin; Ren, Zhiqiang; Tang, Wenliang; Wang, Huaqing; Chen, Peng
2010-01-01
Given the problems in intelligent gearbox diagnosis methods, it is difficult to obtain the desired information and a large enough sample size to study; therefore, we propose the application of various methods for gearbox fault diagnosis, including wavelet lifting, a support vector machine (SVM) and rule-based reasoning (RBR). In a complex field environment, it is less likely for machines to have the same fault; moreover, the fault features can also vary. Therefore, a SVM could be used for the initial diagnosis. First, gearbox vibration signals were processed with wavelet packet decomposition, and the signal energy coefficients of each frequency band were extracted and used as input feature vectors in SVM for normal and faulty pattern recognition. Second, precision analysis using wavelet lifting could successfully filter out the noisy signals while maintaining the impulse characteristics of the fault; thus effectively extracting the fault frequency of the machine. Lastly, the knowledge base was built based on the field rules summarized by experts to identify the detailed fault type. Results have shown that SVM is a powerful tool to accomplish gearbox fault pattern recognition when the sample size is small, whereas the wavelet lifting scheme can effectively extract fault features, and rule-based reasoning can be used to identify the detailed fault type. Therefore, a method that combines SVM, wavelet lifting and rule-based reasoning ensures effective gearbox fault diagnosis.
A Bulk Comptonization Model for the Prompt GRM Emission
NASA Technical Reports Server (NTRS)
Kazanas, Demos; Mastichiadis, A.
2010-01-01
The "Supercritical Pile" is a very economical GRB model that provides for the efficient conversion of the energy stored in the protons of a Relativistic Blast Wave (RBW) into radiation and at the same time produces - in the prompt GRB phase, even in the absence of any particle acceleration - a spectral peak at energy approximately 1 MeV. We extend this model to include the evolution of the RBW Lorentz factor F and thus follow its spectral and temporal features into the early GRB afterglow stage. One of the novel features of the present treatment is the inclusion of the feedback of the GRB produced radiation on the evolution of Gamma with radius. This feedback and the presence of kinematic and dynamic thresholds in the model are sources of potentially very rich time evolution which we have began to explore. In particular, one can this way obtain afterglow light curves with steep decays followed by the more conventional flatter afterglow slopes, while at the same time preserving the desirable features of the model, i.e. the well defined relativistic electron source and radiative processes that produce the proper peak in the nu F(sub nu) spectra. In this note we present the results of a specific set of parameters of this model with emphasis on the multiwavelength prompt emission and transition to the early afterglow.
Inforna 2.0: A Platform for the Sequence-Based Design of Small Molecules Targeting Structured RNAs.
Disney, Matthew D; Winkelsas, Audrey M; Velagapudi, Sai Pradeep; Southern, Mark; Fallahi, Mohammad; Childs-Disney, Jessica L
2016-06-17
The development of small molecules that target RNA is challenging yet, if successful, could advance the development of chemical probes to study RNA function or precision therapeutics to treat RNA-mediated disease. Previously, we described Inforna, an approach that can mine motifs (secondary structures) within target RNAs, which is deduced from the RNA sequence, and compare them to a database of known RNA motif-small molecule binding partners. Output generated by Inforna includes the motif found in both the database and the desired RNA target, lead small molecules for that target, and other related meta-data. Lead small molecules can then be tested for binding and affecting cellular (dys)function. Herein, we describe Inforna 2.0, which incorporates all known RNA motif-small molecule binding partners reported in the scientific literature, a chemical similarity searching feature, and an improved user interface and is freely available via an online web server. By incorporation of interactions identified by other laboratories, the database has been doubled, containing 1936 RNA motif-small molecule interactions, including 244 unique small molecules and 1331 motifs. Interestingly, chemotype analysis of the compounds that bind RNA in the database reveals features in small molecule chemotypes that are privileged for binding. Further, this updated database expanded the number of cellular RNAs to which lead compounds can be identified.
ERIC Educational Resources Information Center
Kapuza, A. V.; Tyumeneva, Yu. A.
2017-01-01
One of the ways of controlling for the influence of social expectations on the answers given by survey respondents is to use a social desirability scale together with the main questions. The social desirability scale, which was included in the Teaching and Learning International Survey (TALIS) international comparative study for this purpose, was…
[Effect of social desirability on dietary intake estimated from a food questionnaire].
Barros, Renata; Moreira, Pedro; Oliveira, Bruno
2005-01-01
Self-report of dietary intake could be biased by social thus affecting risk estimates in epidemiological studies. The objective of study was to assess the effect of social desirability on dietary intake from a food frequency questionnaire (FFQ). A convenience sample of 483 Portuguese university students was recruited. Subjects were invited to complete a two-part self-administered questionnaire: the first part included the Marlowe-Crowne Social Desirability Scale (M-CSDS), a physical activity questionnaire and self-reported height and weight; the second part, included a semi-quantitative FFQ validated for Portuguese adults, that should be returned after fulfillment. All subjects completed the first part of the questionnaire and 40.4% returned the FFQ fairly completed. In multiple regression analysis, after adjustment for energy and confounders, social desirability produced a significant positive effect in the estimates of dietary fibre, vitamin C, vitamin E, magnesium and potassium, in both genders. In multiple regression, after adjustment for energy and confounders, social desirability had a significant positive effect in the estimates of vegetable consumption, for both genders, and a negative effect in white bread and beer, for women. Social desirability affected nutritional and food intake estimated from a food frequency questionnaire.
From flamingo dance to (desirable) drug discovery: a nature-inspired approach.
Sánchez-Rodríguez, Aminael; Pérez-Castillo, Yunierkis; Schürer, Stephan C; Nicolotti, Orazio; Mangiatordi, Giuseppe Felice; Borges, Fernanda; Cordeiro, M Natalia D S; Tejera, Eduardo; Medina-Franco, José L; Cruz-Monteagudo, Maykel
2017-10-01
The therapeutic effects of drugs are well known to result from their interaction with multiple intracellular targets. Accordingly, the pharma industry is currently moving from a reductionist approach based on a 'one-target fixation' to a holistic multitarget approach. However, many drug discovery practices are still procedural abstractions resulting from the attempt to understand and address the action of biologically active compounds while preventing adverse effects. Here, we discuss how drug discovery can benefit from the principles of evolutionary biology and report two real-life case studies. We do so by focusing on the desirability principle, and its many features and applications, such as machine learning-based multicriteria virtual screening. Copyright © 2017 Elsevier Ltd. All rights reserved.
Viewing death on television increases the appeal of advertised products.
Dar-Nimrod, Ilan
2012-01-01
References to death abound in many television programs accessible to most people. Terror Management Theory postulates that existential anxiety, which death reminders activate, may reinforce materialistic tendencies. The current article explores the effect of a death reminder in television shows on the desirability of advertised products. Consistent with Terror Management Theory's predictions, in two studies participants show greater desire for products, which were advertised immediately following clips from programs that featured a death scene, compared with programs that did not. Cognitive accessibility of death predicted the appeal difference while changes in affect or interest in the show did not. The findings are discussed in light on affective and existential theories which make opposite predictions. Implications and future directions are considered.
Viewing Death on Television Increases the Appeal of Advertised Products
DAR-NIMROD, ILAN
2012-01-01
References to death abound in many television programs accessible to most people. Terror Management Theory (TMT) postulates that existential anxiety, which death reminders activate, may reinforce materialistic tendencies. The current paper explores the effect of a death reminder in television shows on the desirability of advertised products. Consistent with TMT's predictions, in two studies participants show greater desire for products, which were advertised immediately following clips from programs that featured a death scene, compared with programs that did not. Cognitive accessibility of death predicted the appeal difference while changes in affect or interest in the show did not. The findings are discussed in light on affective and existential theories which make opposite predictions. Implications and future directions are considered. PMID:22468421
Ferguson, Heather J; Breheny, Richard
2011-05-01
The time-course of representing others' perspectives is inconclusive across the currently available models of ToM processing. We report two visual-world studies investigating how knowledge about a character's basic preferences (e.g. Tom's favourite colour is pink) and higher-order desires (his wish to keep this preference secret) compete to influence online expectations about subsequent behaviour. Participants' eye movements around a visual scene were tracked while they listened to auditory narratives. While clear differences in anticipatory visual biases emerged between conditions in Experiment 1, post-hoc analyses testing the strength of the relevant biases suggested a discrepancy in the time-course of predicting appropriate referents within the different contexts. Specifically, predictions to the target emerged very early when there was no conflict between the character's basic preferences and higher-order desires, but appeared to be relatively delayed when comprehenders were provided with conflicting information about that character's desire to keep a secret. However, a second experiment demonstrated that this apparent 'cognitive cost' in inferring behaviour based on higher-order desires was in fact driven by low-level features between the context sentence and visual scene. Taken together, these results suggest that healthy adults are able to make complex higher-order ToM inferences without the need to call on costly cognitive processes. Results are discussed relative to previous accounts of ToM and language processing. Copyright © 2011 Elsevier B.V. All rights reserved.
Comparison of helmet-mounted display designs in support of wayfinding
NASA Astrophysics Data System (ADS)
Kumagai, Jason K.; Massel, Lisa; Tack, David; Bossi, Linda
2003-09-01
The Canadian Soldier Information Requirements Technology Demonstration (SIREQ TD) soldier modernization research and development program has conducted experiments to help determine the types and amount of information needed to support wayfinding across a range of terrain environments, the most effective display modality for providing the information (visual, auditory or tactile) that will minimize conflict with other infantry tasks, and to optimize interface design. In this study, seven different visual helmet-mounted display (HMD) designs were developed based on soldier feedback from previous studies. The displays and an in-service compass condition were contrasted to investigate how the visual HMD interfaces influenced navigation performance. Displays varied with respect to their information content, frame of reference, point of view, and display features. Twelve male infantry soldiers used all eight experimental conditions to locate bearings to waypoints. From a constant location, participants were required to face waypoints presented at offset bearings of 25, 65, and 120 degrees. Performance measures included time to identify waypoints, accuracy, and head misdirection errors. Subjective measures of performance included ratings of ease of use, acceptance for land navigation, and mental demand. Comments were collected to identify likes, dislikes and possible improvements required for HMDs. Results underlined the potential performance enhancement of GPS-based navigation with HMDs, the requirement for explicit directional information, the desirability of both analog and digital information, the performance benefits of an egocentric frame of reference, the merit of a forward field of view, and the desirability of a guide to help landmark. Implications for the information requirements and human factors design of HMDs for land-based navigational tasks are discussed.
NASA Technical Reports Server (NTRS)
Zander, Martin; Belvin, W. K.
2012-01-01
Current space applications of membrane structures include large area solar power arrays, solar sails, antennas, and numerous other large aperture devices like the solar shades of the new James Webb Space Telescope. These expandable structural systems, deployed in-orbit to achieve the desired geometry, are used to collect, reflect and/or transmit electromagnetic radiation. This work, a feasibility study supporting a diploma thesis, describes the systematic process for developing a biologically inspired concept for a structure supported (integrated) membrane, that features a rip stop principle, makes self-deployment possible and is part of an ultra-light weight space application. Novel manufacturing of membrane prototypes and test results are presented for the rip-stop concepts. Test data showed that the new membrane concept has a higher tear resistance than neat film of equivalent mass.
NASA Astrophysics Data System (ADS)
Bondarenko, J. A.; Fedorenko, M. A.; Pogonin, A. A.
2018-03-01
Large parts can be treated without disassembling machines using “Extra”, having technological and design challenges, which differ from the challenges in the processing of these components on the stationary machine. Extension machines are used to restore large parts up to the condition allowing one to use them in a production environment. To achieve the desired accuracy and surface roughness parameters, the surface after rotary grinding becomes recoverable, which greatly increases complexity. In order to improve production efficiency and productivity of the process, the qualitative rotary processing of the machined surface is applied. The rotary cutting process includes a continuous change of the cutting edge surfaces. The kinematic parameters of a rotary cutting define its main features and patterns, the cutting operation of the rotary cutting instrument.
Gold nanocrystals with DNA-directed morphologies.
Ma, Xingyi; Huh, June; Park, Wounjhang; Lee, Luke P; Kwon, Young Jik; Sim, Sang Jun
2016-09-16
Precise control over the structure of metal nanomaterials is important for developing advanced nanobiotechnology. Assembly methods of nanoparticles into structured blocks have been widely demonstrated recently. However, synthesis of nanocrystals with controlled, three-dimensional structures remains challenging. Here we show a directed crystallization of gold by a single DNA molecular regulator in a sequence-independent manner and its applications in three-dimensional topological controls of crystalline nanostructures. We anchor DNA onto gold nanoseed with various alignments to form gold nanocrystals with defined topologies. Some topologies are asymmetric including pushpin-, star- and biconcave disk-like structures, as well as more complex jellyfish- and flower-like structures. The approach of employing DNA enables the solution-based synthesis of nanocrystals with controlled, three-dimensional structures in a desired direction, and expands the current tools available for designing and synthesizing feature-rich nanomaterials for future translational biotechnology.
Tracking subpixel targets in domestic environments
NASA Astrophysics Data System (ADS)
Govinda, V.; Ralph, J. F.; Spencer, J. W.; Goulermas, J. Y.; Smith, D. H.
2006-05-01
In recent years, closed circuit cameras have become a common feature of urban life. There are environments however where the movement of people needs to be monitored but high resolution imaging is not necessarily desirable: rooms where privacy is required and the occupants are not comfortable with the perceived intrusion. Examples might include domiciliary care environments, prisons and other secure facilities, and even large open plan offices. This paper discusses algorithms that allow activity within this type of sensitive environment to be monitored using data from low resolution cameras (ones where all objects of interest are sub-pixel and cannot be resolved) and other non-intrusive sensors. The algorithms are based on techniques originally developed for wide area reconnaissance and surveillance applications. Of particular importance is determining the minimum spatial resolution that is required to provide a specific level of coverage and reliability.
ADOMA: A Command Line Tool to Modify ClustalW Multiple Alignment Output.
Zaal, Dionne; Nota, Benjamin
2016-01-01
We present ADOMA, a command line tool that produces alternative outputs from ClustalW multiple alignments of nucleotide or protein sequences. ADOMA can simplify the output of alignments by showing only the different residues between sequences, which is often desirable when only small differences such as single nucleotide polymorphisms are present (e.g., between different alleles). Another feature of ADOMA is that it can enhance the ClustalW output by coloring the residues in the alignment. This tool is easily integrated into automated Linux pipelines for next-generation sequencing data analysis, and may be useful for researchers in a broad range of scientific disciplines including evolutionary biology and biomedical sciences. The source code is freely available at https://sourceforge. net/projects/adoma/. © 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
Geology of the pitchblende ores of Colorado
Bastin, Edson S.
1915-01-01
The large amount of public interest that has recently been manifested in radium because of the apparent cures of cancer effected by certain of its emanations makes it desirable to place before the public as promptly as possible all available information in regard to the occurrence of the minerals from which radium may be derived. The following account of the mode of occurrence of pitchblende at Quartz Hill, in Gilpin County, Colo., is therefore published in advance of a much larger report on the same region in which many other types of ore deposits will be considered. The field studies were made.in the fall of 1912. As the geologic relations at Quartz Hill differ in important particulars from those at foreign localities, a summary of the genetically important features of the principal European occurrences is included for purposes of comparison.
Sustainably powering wearable electronics solely by biomechanical energy
Wang, Jie; Li, Shengming; Yi, Fang; Zi, Yunlong; Lin, Jun; Wang, Xiaofeng; Xu, Youlong; Wang, Zhong Lin
2016-01-01
Harvesting biomechanical energy is an important route for providing electricity to sustainably drive wearable electronics, which currently still use batteries and therefore need to be charged or replaced/disposed frequently. Here we report an approach that can continuously power wearable electronics only by human motion, realized through a triboelectric nanogenerator (TENG) with optimized materials and structural design. Fabricated by elastomeric materials and a helix inner electrode sticking on a tube with the dielectric layer and outer electrode, the TENG has desirable features including flexibility, stretchability, isotropy, weavability, water-resistance and a high surface charge density of 250 μC m−2. With only the energy extracted from walking or jogging by the TENG that is built in outsoles, wearable electronics such as an electronic watch and fitness tracker can be immediately and continuously powered. PMID:27677971
Systems analysis of a low-acceleration research facility
NASA Technical Reports Server (NTRS)
Martin, Gary L.; Ferebee, Melvin J., Jr.; Wright, Robert L.
1988-01-01
The Low-Acceleration Research Facility (LARF), an unmanned free-flier that is boosted from low-earth orbit to a desired altitude using an orbital transfer vehicle is discussed. Design techniques used to minimize acceleration-causing disturbances and to create an ultra-quiet workshop are discussed, focusing on residual acceleration induced by the environment, the spacecraft and experiments. The selection and integration of critical subsystems, such as electrical power and thermal control, that enable the LARf to accomodate sub-microgravity levels for extended periods of time are presented, including a discussion of the Low-Acceleration Module, which will supply the payload with 25.0 kW of power, and up to 11.8 kW in the low-power mode. Also, the data management, communications, guidance, navigation and control, and structural features of supporting subsystems are examined.
Lanthanum Gadolinium Oxide: A New Electronic Device Material for CMOS Logic and Memory Devices
Pavunny, Shojan P.; Scott, James F.; Katiyar, Ram S.
2014-01-01
A comprehensive study on the ternary dielectric, LaGdO3, synthesized and qualified in our laboratory as a novel high-k dielectric material for logic and memory device applications in terms of its excellent features that include a high linear dielectric constant (k) of ~22 and a large energy bandgap of ~5.6 eV, resulting in sufficient electron and hole band offsets of ~2.57 eV and ~1.91 eV, respectively, on silicon, good thermal stability with Si and lower gate leakage current densities within the International Technology Roadmap for Semiconductors (ITRS) specified limits at the sub-nanometer electrical functional thickness level, which are desirable for advanced complementary metal-oxide-semiconductor (CMOS), bipolar (Bi) and BiCMOS chips applications, is presented in this review article. PMID:28788589
Long-lived efficient delayed fluorescence organic light-emitting diodes using n-type hosts.
Cui, Lin-Song; Ruan, Shi-Bin; Bencheikh, Fatima; Nagata, Ryo; Zhang, Lei; Inada, Ko; Nakanotani, Hajime; Liao, Liang-Sheng; Adachi, Chihaya
2017-12-21
Organic light-emitting diodes have become a mainstream display technology because of their desirable features. Third-generation electroluminescent devices that emit light through a mechanism called thermally activated delayed fluorescence are currently garnering much attention. However, unsatisfactory device stability is still an unresolved issue in this field. Here we demonstrate that electron-transporting n-type hosts, which typically include an acceptor moiety in their chemical structure, have the intrinsic ability to balance the charge fluxes and broaden the recombination zone in delayed fluorescence organic electroluminescent devices, while at the same time preventing the formation of high-energy excitons. The n-type hosts lengthen the lifetimes of green and blue delayed fluorescence devices by > 30 and 1000 times, respectively. Our results indicate that n-type hosts are suitable to realize stable delayed fluorescence organic electroluminescent devices.
NASA Technical Reports Server (NTRS)
Olsen, Lola; Morahan, Michael; Aleman, Alicia; Cepero, Laurel; Stevens, Tyler; Ritz, Scott; Holland, Monica
2011-01-01
The Global Change Master Directory (GCMD) provides an extensive directory of descriptive and spatial information about data sets and data-related services, which are relevant to Earth science research. The directory's data discovery components include controlled keywords, free-text searches, and map/date searches. The GCMD portal for NASA's Land Atmosphere Near-real-time Capability for EOS (LANCE) data products leverages these discovery features by providing users a direct route to NASA's Near-Real-Time (NRT) collections. This portal offers direct access to collection entries by instrument name, informing users of the availability of data. After a relevant collection entry is found through the GCMD's search components, the "Get Data" URL within the entry directs the user to the desired data. http://gcmd.nasa.gov/r/p/gcmd_lance_nrt.
Consumer preference, behavior and perception about meat and meat products: an overview.
Font-I-Furnols, Maria; Guerrero, Luis
2014-11-01
Meat and meat products currently represent an important source of protein in the human diet, and their quality varies according to intrinsic and extrinsic parameters that can sometimes be shaped to make a product more desirable. Because consumers are the final step in the production chain, it is useful to identify which factors affect their behavioral patterns. This would allow the meat sector to better satisfy consumer expectations, demands and needs. This paper focuses on features that might influence consumer behavior, preferences and their perception of meat and meat products with respect to psychological, sensory and marketing aspects. This multidisciplinary approach includes evaluating psychological issues such as attitudes, beliefs, and expectations; sensory properties such as appearance, texture, flavor and odor; and marketing-related aspects such as price and brand. Copyright © 2014 Elsevier Ltd. All rights reserved.
Production of bio-based materials using photobioreactors with binary cultures
Beliaev, Alex S; Pinchuk, Grigoriy E; Hill, Eric A; Fredrickson, Jim K
2013-08-27
A method, device and system for producing preselected products, (either finished products or preselected intermediary products) from biobased precursors or CO.sub.2 and/or bicarbonate. The principal features of the present invention include a method wherein a binary culture is incubated with a biobased precursor in a closed system to transform at least a portion of the biobased precursor to a preselected product. The present invention provides a method of cultivation that does not need sparging of a closed bioreactor to remove or add a gaseous byproduct or nutrient from a liquid medium. This improvement leads to significant savings in energy consumption and allows for the design of photobioreactors of any desired shape. The present invention also allows for the use of a variety of types of waste materials to be used as the organic starting material.
Production of bio-based materials using photobioreactors with binary cultures
Beliaev, Alex S.; Pinchuk, Grigoriy E.; Hill, Eric A.
2017-01-31
A method, device and system for producing preselected products, (either finished products or preselected intermediary products) from biobased precursors or CO.sub.2 and/or bicarbonate. The principal features of the present invention include a method wherein a binary culture is incubated with a biobased precursor in a closed system to transform at least a portion of the biobased precursor to a preselected product. The present invention provides a method of cultivation that does not need sparging of a closed bioreactor to remove or add a gaseous byproduct or nutrient from a liquid medium. This improvement leads to significant savings in energy consumption and allows for the design of photobioreactors of any desired shape. The present invention also allows for the use of a variety of types of waste materials to be used as the organic starting material.
Chemoresponsive Colloidosomes via Ag⁺ Soldering of Surface-Assembled Nanoparticle Monolayers.
Liu, Miao; Tian, Qian; Li, Yulin; You, Bo; Xu, An; Deng, Zhaoxiang
2015-04-28
Colloidosomes with a hollow interior and a porous plasmonic shell are highly desired for many applications including nanoreactors, surface-enhanced Raman scattering (SERS), photothermal therapy, and controlled drug release. We herein report a silica nanosphere-templated electrostatic self-assembly in conjunction with a newly developed Ag(+) soldering to fabricate gold colloidosomes toward multifunctionality and stimuli-responsibility. The gold colloidosomes are capable of capturing a nanosized object and releasing it via structural dissociation upon responding to a biochemical input (GSH, glutathione) at a concentration close to its cellular level. In addition, the colloidosomes have a tunable nanoporous shell composed of strongly coupled gold nanoparticles, which exhibit broadened near-infrared plasmon resonance. These features along with the simplicity and high tunability of the fabrication process make the gold colloidosomes quite promising for applications in a chemical or cellular environment.
Artificial Intelligence Support for Computational Chemistry
NASA Astrophysics Data System (ADS)
Duch, Wlodzislaw
Possible forms of artificial intelligence (AI) support for quantum chemistry are discussed. Questions addressed include: what kind of support is desirable, what kind of support is feasible, what can we expect in the coming years. Advantages and disadvantages of current AI techniques are presented and it is argued that at present the memory-based systems are the most effective for large scale applications. Such systems may be used to predict the accuracy of calculations and to select the least expensive methods and basis sets belonging to the same accuracy class. Advantages of the Feature Space Mapping as an improvement on the memory based systems are outlined and some results obtained in classification problems given. Relevance of such classification systems to computational chemistry is illustrated with two examples showing similarity of results obtained by different methods that take electron correlation into account.
Gold nanocrystals with DNA-directed morphologies
NASA Astrophysics Data System (ADS)
Ma, Xingyi; Huh, June; Park, Wounjhang; Lee, Luke P.; Kwon, Young Jik; Sim, Sang Jun
2016-09-01
Precise control over the structure of metal nanomaterials is important for developing advanced nanobiotechnology. Assembly methods of nanoparticles into structured blocks have been widely demonstrated recently. However, synthesis of nanocrystals with controlled, three-dimensional structures remains challenging. Here we show a directed crystallization of gold by a single DNA molecular regulator in a sequence-independent manner and its applications in three-dimensional topological controls of crystalline nanostructures. We anchor DNA onto gold nanoseed with various alignments to form gold nanocrystals with defined topologies. Some topologies are asymmetric including pushpin-, star- and biconcave disk-like structures, as well as more complex jellyfish- and flower-like structures. The approach of employing DNA enables the solution-based synthesis of nanocrystals with controlled, three-dimensional structures in a desired direction, and expands the current tools available for designing and synthesizing feature-rich nanomaterials for future translational biotechnology.
Eating behaviour patterns and BMI in Portuguese higher education students.
Poínhos, Rui; Oliveira, Bruno M P M; Correia, Flora
2013-12-01
Our aim was to determine prototypical patterns of eating behaviour among Portuguese higher education students, and to relate these patterns with BMI. Data from 280 higher education students (63.2% females) aged between 18 and 27 years were analysed. Several eating behaviour dimensions (emotional and external eating, flexible and rigid restraint, binge eating, and eating self-efficacy) were assessed, and eating styles were derived through cluster analysis. BMI for current, desired and maximum self-reported weights and the differences between desired and current BMI and between maximum and current BMI were calculated. Women scored higher in emotional eating and restraint, whereas men showed higher eating self-efficacy. Men had higher current, desired and maximum BMI. Cluster analysis showed three eating styles in both male and female subsamples: "Overeating", "High self-efficacy" and "High restraint". High self-efficacy women showed lower BMI values than the others, and restrictive women had higher lost BMI. High self-efficacy men showed lower desired BMI than overeaters, and lower maximum and lost BMI than highly restrictive ones. Restrictive women and men differ on important eating behaviour features, which may be the cause of differences in the associations with BMI. Eating self-efficacy seems to be a central variable influencing the relationships between other eating behaviour dimensions and BMI. Copyright © 2013 Elsevier Ltd. All rights reserved.
Martino, Steven C.; Haviland, Amelia; Setodji, Claude; Primack, Brian A.
2010-01-01
Introduction: Exposure to smoking in movies is strongly associated with smoking uptake and maintenance among adolescents. However, little is known about what features of movies (e.g., the context for smoking or motives for a character smoking) moderate the association between exposure to movie smoking and adolescent smoking. This laboratory study examined whether exposure to movie smoking that is portrayed as having a clear motive is associated with the desire to smoke differently than smoking that is portrayed as having no clear motive. Methods: A sample of 77 middle school students (mean age of 12.8 years, 62% male, 60% Caucasian) viewed movie clips that portrayed smoking as helping to facilitate social interaction, to relax, to appear rebellious, or as having no clear motive. After exposure to each clip, participants rated their desire to smoke. Results: Exposure to clips where smoking was portrayed as helping characters to relax was associated with a significantly stronger desire to smoke compared with clips where the motive for smoking was unclear. Desire to smoke was similar for clips where no motive was clear, social smoking clips, and rebellious smoking clips. Discussion: These results suggest that the way that smoking is portrayed in movies is important in determining its effect on adolescent smoking. PMID:20576800
Shadel, William G; Martino, Steven C; Haviland, Amelia; Setodji, Claude; Primack, Brian A
2010-08-01
Exposure to smoking in movies is strongly associated with smoking uptake and maintenance among adolescents. However, little is known about what features of movies (e.g., the context for smoking or motives for a character smoking) moderate the association between exposure to movie smoking and adolescent smoking. This laboratory study examined whether exposure to movie smoking that is portrayed as having a clear motive is associated with the desire to smoke differently than smoking that is portrayed as having no clear motive. A sample of 77 middle school students (mean age of 12.8 years, 62% male, 60% Caucasian) viewed movie clips that portrayed smoking as helping to facilitate social interaction, to relax, to appear rebellious, or as having no clear motive. After exposure to each clip, participants rated their desire to smoke. Exposure to clips where smoking was portrayed as helping characters to relax was associated with a significantly stronger desire to smoke compared with clips where the motive for smoking was unclear. Desire to smoke was similar for clips where no motive was clear, social smoking clips, and rebellious smoking clips. These results suggest that the way that smoking is portrayed in movies is important in determining its effect on adolescent smoking.
Moral Hard‐Wiring and Moral Enhancement
Persson, Ingmar
2017-01-01
Abstract We have argued for an urgent need for moral bioenhancement; that human moral psychology is limited in its ability to address current existential threats due to the evolutionary function of morality to maximize cooperation in small groups. We address here Powell and Buchanan's novel objection that there is an ‘inclusivist anomaly’: humans have the capacity to care beyond in‐groups. They propose that ‘exclusivist’ (group‐based) morality is sensitive to environmental cues that historically indicated out‐group threat. When this is not present, we are inclusivist. They conclude that moral bioenhancement is unnecessary or less effective than socio‐cultural interventions. We argue that Powell and Buchanan underestimate the hard‐wiring features of moral psychology; their appeal to adaptively plastic, conditionally expressed responses accounts for only a fragment of our moral psychology. In addition to restrictions on our altruistic concern that their account addresses – such as racism and sexism – there are ones it is ill‐suited to address: that our concern is stronger for kin and friends and for concrete individuals rather than for statistical lives; also our bias towards the near future. Hard‐wired features of our moral psychology that are not clearly restrictions in altruistic concern also include reciprocity, tit‐for‐tat, and others. Biomedical means are not the only, and maybe not the most important, means of moral enhancement. Socio‐cultural means are of great importance and there are currently no biomedical interventions for many hard‐wired features. Nevertheless research is desirable because the influence of these features is greater than our critics think. PMID:28300281
Moral Hard-Wiring and Moral Enhancement.
Persson, Ingmar; Savulescu, Julian
2017-05-01
We have argued for an urgent need for moral bioenhancement; that human moral psychology is limited in its ability to address current existential threats due to the evolutionary function of morality to maximize cooperation in small groups. We address here Powell and Buchanan's novel objection that there is an 'inclusivist anomaly': humans have the capacity to care beyond in-groups. They propose that 'exclusivist' (group-based) morality is sensitive to environmental cues that historically indicated out-group threat. When this is not present, we are inclusivist. They conclude that moral bioenhancement is unnecessary or less effective than socio-cultural interventions. We argue that Powell and Buchanan underestimate the hard-wiring features of moral psychology; their appeal to adaptively plastic, conditionally expressed responses accounts for only a fragment of our moral psychology. In addition to restrictions on our altruistic concern that their account addresses - such as racism and sexism - there are ones it is ill-suited to address: that our concern is stronger for kin and friends and for concrete individuals rather than for statistical lives; also our bias towards the near future. Hard-wired features of our moral psychology that are not clearly restrictions in altruistic concern also include reciprocity, tit-for-tat, and others. Biomedical means are not the only, and maybe not the most important, means of moral enhancement. Socio-cultural means are of great importance and there are currently no biomedical interventions for many hard-wired features. Nevertheless research is desirable because the influence of these features is greater than our critics think. © 2017 The Authors Bioethics Published by John Wiley & Sons Ltd.
Object-Based Change Detection Using High-Resolution Remotely Sensed Data and GIS
NASA Astrophysics Data System (ADS)
Sofina, N.; Ehlers, M.
2012-08-01
High resolution remotely sensed images provide current, detailed, and accurate information for large areas of the earth surface which can be used for change detection analyses. Conventional methods of image processing permit detection of changes by comparing remotely sensed multitemporal images. However, for performing a successful analysis it is desirable to take images from the same sensor which should be acquired at the same time of season, at the same time of a day, and - for electro-optical sensors - in cloudless conditions. Thus, a change detection analysis could be problematic especially for sudden catastrophic events. A promising alternative is the use of vector-based maps containing information about the original urban layout which can be related to a single image obtained after the catastrophe. The paper describes a methodology for an object-based search of destroyed buildings as a consequence of a natural or man-made catastrophe (e.g., earthquakes, flooding, civil war). The analysis is based on remotely sensed and vector GIS data. It includes three main steps: (i) generation of features describing the state of buildings; (ii) classification of building conditions; and (iii) data import into a GIS. One of the proposed features is a newly developed 'Detected Part of Contour' (DPC). Additionally, several features based on the analysis of textural information corresponding to the investigated vector objects are calculated. The method is applied to remotely sensed images of areas that have been subjected to an earthquake. The results show the high reliability of the DPC feature as an indicator for change.
Enea-Drapeau, Claire; Carlier, Michèle; Huguet, Pascal
2012-01-01
Background Stigmatization is one of the greatest obstacles to the successful integration of people with Trisomy 21 (T21 or Down syndrome), the most frequent genetic disorder associated with intellectual disability. Research on attitudes and stereotypes toward these people still focuses on explicit measures subjected to social-desirability biases, and neglects how variability in facial stigmata influences attitudes and stereotyping. Methodology/Principal Findings The participants were 165 adults including 55 young adult students, 55 non-student adults, and 55 professional caregivers working with intellectually disabled persons. They were faced with implicit association tests (IAT), a well-known technique whereby response latency is used to capture the relative strength with which some groups of people—here photographed faces of typically developing children and children with T21—are automatically (without conscious awareness) associated with positive versus negative attributes in memory. Each participant also rated the same photographed faces (consciously accessible evaluations). We provide the first evidence that the positive bias typically found in explicit judgments of children with T21 is smaller for those whose facial features are highly characteristic of this disorder, compared to their counterparts with less distinctive features and to typically developing children. We also show that this bias can coexist with negative evaluations at the implicit level (with large effect sizes), even among professional caregivers. Conclusion These findings support recent models of feature-based stereotyping, and more importantly show how crucial it is to go beyond explicit evaluations to estimate the true extent of stigmatization of intellectually disabled people. PMID:22496796
Electric utility pole yard training facility: Designing an effective learning environment
NASA Astrophysics Data System (ADS)
Topping, Robert P.
The primary responsibility of electric utilities is to supply consistent, dependable, and affordable energy to private customers, businesses, and industries. As with many businesses, electric utilities are experiencing the effects of an aging workforce and expending considerable resources to train their current and replacement workers. Community colleges can partner with electric utilities to provide effective learning environments for these workers, and gain access to new sources of revenue and community support for the colleges. The purpose of this study was to describe the functions, features, and major design issues of an effective learning environment for training electric utility industry workers, the electric utility line-worker pole yard. Case studies of three "state of the art" line-worker pole yard training environments provide the basis for the study's findings and implications. The study was guided by the following research questions: (1) What is the function of a line-worker pole yard in supporting effective training? (2) What are the features of present day ("state of the art") line-worker pole yard learning environments? and (3) What are the major issues that need to be addressed in designing a line-worker pole yard learning environment for the future? The study participants included industry representatives, training coordinators, instructors, and students from the three selected "state of the art" line-worker pole yard sites. The overall findings from the study resulted in composites of the desired features of learning outcomes, learning process, and learning environment for a line-worker pole yard training program and major issues that are affecting the future design of these training programs. Composite findings of a pole-yard training environment included unique features associated with: (a) outdoor, (b) indoor, (c) underground, (d) classroom, (e) gathering places, and (f) work-based learning components. Composite findings with regard to major issues that need to be considered in future designs of pole-yard training environments included: (a) available unrestricted land for expansion, (b) resource commitment level, (c) workforce demographics, (d) aging industrial infrastructure, (e) electronic information and communication capability, (f) quality and quantity of available instructors, and (g) environmental and economic impact.
Using Multi-Objective Genetic Programming to Synthesize Stochastic Processes
NASA Astrophysics Data System (ADS)
Ross, Brian; Imada, Janine
Genetic programming is used to automatically construct stochastic processes written in the stochastic π-calculus. Grammar-guided genetic programming constrains search to useful process algebra structures. The time-series behaviour of a target process is denoted with a suitable selection of statistical feature tests. Feature tests can permit complex process behaviours to be effectively evaluated. However, they must be selected with care, in order to accurately characterize the desired process behaviour. Multi-objective evaluation is shown to be appropriate for this application, since it permits heterogeneous statistical feature tests to reside as independent objectives. Multiple undominated solutions can be saved and evaluated after a run, for determination of those that are most appropriate. Since there can be a vast number of candidate solutions, however, strategies for filtering and analyzing this set are required.
Trading efficiency for effectiveness in similarity-based indexing for image databases
NASA Astrophysics Data System (ADS)
Barros, Julio E.; French, James C.; Martin, Worthy N.; Kelly, Patrick M.
1995-11-01
Image databases typically manage feature data that can be viewed as points in a feature space. Some features, however, can be better expressed as a collection of points or described by a probability distribution function (PDF) rather than as a single point. In earlier work we introduced a similarity measure and a method for indexing and searching the PDF descriptions of these items that guarantees an answer equivalent to sequential search. Unfortunately, certain properties of the data can restrict the efficiency of that method. In this paper we extend that work and examine trade-offs between efficiency and answer quality or effectiveness. These trade-offs reduce the amount of work required during a search by reducing the number of undesired items fetched without excluding an excessive number of the desired ones.
2013-01-01
Background Previous studies in basal angiosperms have provided insight into the diversity within the angiosperm lineage and helped to polarize analyses of flowering plant evolution. However, there is still not an experimental system for genetic studies among basal angiosperms to facilitate comparative studies and functional investigation. It would be desirable to identify a basal angiosperm experimental system that possesses many of the features found in existing plant model systems (e.g., Arabidopsis and Oryza). Results We have considered all basal angiosperm families for general characteristics important for experimental systems, including availability to the scientific community, growth habit, and membership in a large basal angiosperm group that displays a wide spectrum of phenotypic diversity. Most basal angiosperms are woody or aquatic, thus are not well-suited for large scale cultivation, and were excluded. We further investigated members of Aristolochiaceae for ease of culture, life cycle, genome size, and chromosome number. We demonstrated self-compatibility for Aristolochia elegans and A. fimbriata, and transformation with a GFP reporter construct for Saruma henryi and A. fimbriata. Furthermore, A. fimbriata was easily cultivated with a life cycle of just three months, could be regenerated in a tissue culture system, and had one of the smallest genomes among basal angiosperms. An extensive multi-tissue EST dataset was produced for A. fimbriata that includes over 3.8 million 454 sequence reads. Conclusions Aristolochia fimbriata has numerous features that facilitate genetic studies and is suggested as a potential model system for use with a wide variety of technologies. Emerging genetic and genomic tools for A. fimbriata and closely related species can aid the investigation of floral biology, developmental genetics, biochemical pathways important in plant-insect interactions as well as human health, and various other features present in early angiosperms. PMID:23347749
Cross-Stream PIV Measurements of Jets With Internal Lobed Mixers
NASA Technical Reports Server (NTRS)
Bridges, James; Wernet, Mark P.
2004-01-01
With emphasis being placed on enhanced mixing of jet plumes for noise reduction and on predictions of jet noise based upon turbulent kinetic energy, unsteady measurements of jet plumes are a very important part of jet noise studies. Given that hot flows are of most practical interest, optical techniques such as Particle Image Velocimetry (PIV) are applicable. When the flow has strong azimuthal features, such as those generated by chevrons or lobed mixers, traditional PIV, which aligns the measurement plane parallel to the dominant flow direction is very inefficient, requiring many planes of data to be acquired and stacked up to produce the desired flow cross-sections. This paper presents PIV data acquired in a plane normal to the jet axis, directly measuring the cross-stream gradients and features of an internally mixed nozzle operating at aircraft engine flow conditions. These nozzle systems included variations in lobed mixer penetration, lobe count, lobe scalloping, and nozzle length. Several cases validating the accuracy of the PIV data are examined along with examples of its use in answering questions about the jet noise generation processes in these nozzles. Of most interest is the relationship of low frequency aft-directed noise with turbulence kinetic energy and mean velocity.
Deep Learning: A Primer for Radiologists.
Chartrand, Gabriel; Cheng, Phillip M; Vorontsov, Eugene; Drozdzal, Michal; Turcotte, Simon; Pal, Christopher J; Kadoury, Samuel; Tang, An
2017-01-01
Deep learning is a class of machine learning methods that are gaining success and attracting interest in many domains, including computer vision, speech recognition, natural language processing, and playing games. Deep learning methods produce a mapping from raw inputs to desired outputs (eg, image classes). Unlike traditional machine learning methods, which require hand-engineered feature extraction from inputs, deep learning methods learn these features directly from data. With the advent of large datasets and increased computing power, these methods can produce models with exceptional performance. These models are multilayer artificial neural networks, loosely inspired by biologic neural systems. Weighted connections between nodes (neurons) in the network are iteratively adjusted based on example pairs of inputs and target outputs by back-propagating a corrective error signal through the network. For computer vision tasks, convolutional neural networks (CNNs) have proven to be effective. Recently, several clinical applications of CNNs have been proposed and studied in radiology for classification, detection, and segmentation tasks. This article reviews the key concepts of deep learning for clinical radiologists, discusses technical requirements, describes emerging applications in clinical radiology, and outlines limitations and future directions in this field. Radiologists should become familiar with the principles and potential applications of deep learning in medical imaging. © RSNA, 2017.
Electrospun nanofibers-mediated on-demand drug release.
Chen, Menglin; Li, Yan-Fang; Besenbacher, Flemming
2014-11-01
A living system has a complex and accurate regulation system with intelligent sensor-processor-effector components to enable the release of vital bioactive substances on demand at a specific site and time. Stimuli-responsive polymers mimic biological systems in a crude way where an external stimulus results in a change in conformation, solubility, or alternation of the hydrophilic/hydrophobic balance, and consequently release of a bioactive substance. Electrospinning is a straightforward and robust method to produce nanofibers with the potential to incorporate drugs in a simple, rapid, and reproducible process. This feature article emphasizes an emerging area using an electrospinning technique to generate biomimetic nanofibers as drug delivery devices that are responsive to different stimuli, such as temperature, pH, light, and electric/magnetic field for controlled release of therapeutic substances. Although at its infancy, the mimicry of these stimuli-responsive nanofibers to the function of the living systems includes both the fibrous structural feature and bio-regulation function as an on demand drug release depot. The electrospun nanofibers with extracellular matrix morphology intrinsically guide cellular drug uptake, which will be highly desired to translate the promise of drug delivery for the clinical success. © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
Multiple Paths to Mathematics Practice in Al-Kashi's Key to Arithmetic
NASA Astrophysics Data System (ADS)
Taani, Osama
2014-01-01
In this paper, I discuss one of the most distinguishing features of Jamshid al-Kashi's pedagogy from his Key to Arithmetic, a well-known Arabic mathematics textbook from the fifteenth century. This feature is the multiple paths that he includes to find a desired result. In the first section light is shed on al-Kashi's life and his contributions to mathematics and astronomy. Section 2 starts with a brief discussion of the contents and pedagogy of the Key to Arithmetic. Al-Kashi's multiple approaches are discussed through four different examples of his versatility in presenting a topic from multiple perspectives. These examples are multiple definitions, multiple algorithms, multiple formulas, and multiple methods for solving word problems. Section 3 is devoted to some benefits that can be gained by implementing al-Kashi's multiple paths approach in modern curricula. For this discussion, examples from two teaching modules taken from the Key to Arithmetic and implemented in Pre-Calculus and mathematics courses for preservice teachers are discussed. Also, the conclusions are supported by some aspects of these modules. This paper is an attempt to help mathematics educators explore more benefits from reading from original sources.
Atomically Traceable Nanostructure Fabrication
Ballard, Josh B.; Dick, Don D.; McDonnell, Stephen J.; Bischof, Maia; Fu, Joseph; Owen, James H. G.; Owen, William R.; Alexander, Justin D.; Jaeger, David L.; Namboodiri, Pradeep; Fuchs, Ehud; Chabal, Yves J.; Wallace, Robert M.; Reidy, Richard; Silver, Richard M.; Randall, John N.; Von Ehr, James
2015-01-01
Reducing the scale of etched nanostructures below the 10 nm range eventually will require an atomic scale understanding of the entire fabrication process being used in order to maintain exquisite control over both feature size and feature density. Here, we demonstrate a method for tracking atomically resolved and controlled structures from initial template definition through final nanostructure metrology, opening up a pathway for top-down atomic control over nanofabrication. Hydrogen depassivation lithography is the first step of the nanoscale fabrication process followed by selective atomic layer deposition of up to 2.8 nm of titania to make a nanoscale etch mask. Contrast with the background is shown, indicating different mechanisms for growth on the desired patterns and on the H passivated background. The patterns are then transferred into the bulk using reactive ion etching to form 20 nm tall nanostructures with linewidths down to ~6 nm. To illustrate the limitations of this process, arrays of holes and lines are fabricated. The various nanofabrication process steps are performed at disparate locations, so process integration is discussed. Related issues are discussed including using fiducial marks for finding nanostructures on a macroscopic sample and protecting the chemically reactive patterned Si(100)-H surface against degradation due to atmospheric exposure. PMID:26274555
Atomically Traceable Nanostructure Fabrication.
Ballard, Josh B; Dick, Don D; McDonnell, Stephen J; Bischof, Maia; Fu, Joseph; Owen, James H G; Owen, William R; Alexander, Justin D; Jaeger, David L; Namboodiri, Pradeep; Fuchs, Ehud; Chabal, Yves J; Wallace, Robert M; Reidy, Richard; Silver, Richard M; Randall, John N; Von Ehr, James
2015-07-17
Reducing the scale of etched nanostructures below the 10 nm range eventually will require an atomic scale understanding of the entire fabrication process being used in order to maintain exquisite control over both feature size and feature density. Here, we demonstrate a method for tracking atomically resolved and controlled structures from initial template definition through final nanostructure metrology, opening up a pathway for top-down atomic control over nanofabrication. Hydrogen depassivation lithography is the first step of the nanoscale fabrication process followed by selective atomic layer deposition of up to 2.8 nm of titania to make a nanoscale etch mask. Contrast with the background is shown, indicating different mechanisms for growth on the desired patterns and on the H passivated background. The patterns are then transferred into the bulk using reactive ion etching to form 20 nm tall nanostructures with linewidths down to ~6 nm. To illustrate the limitations of this process, arrays of holes and lines are fabricated. The various nanofabrication process steps are performed at disparate locations, so process integration is discussed. Related issues are discussed including using fiducial marks for finding nanostructures on a macroscopic sample and protecting the chemically reactive patterned Si(100)-H surface against degradation due to atmospheric exposure.
How Perturbing Ocean Floor Disturbs Tsunami Waves
NASA Astrophysics Data System (ADS)
Salaree, A.; Okal, E.
2017-12-01
Bathymetry maps play, perhaps the most crucial role in optimal tsunami simulations. Regardless of the simulation method, on one hand, it is desirable to include every detailed bathymetry feature in the simulation grids in order to predict tsunami amplitudes as accurately as possible, but on the other hand, large grids result in long simulation times. It is therefore, of interest to investigate a "sufficiency" level - if any - for the amount of details in bathymetry grids needed to reconstruct the most important features in tsunami simulations, as obtained from the actual bathymetry. In this context, we use a spherical harmonics series approach to decompose the bathymetry of the Pacific ocean into its components down to a resolution of 4 degrees (l=100) and create bathymetry grids by accumulating the resulting terms. We then use these grids to simulate the tsunami behavior from pure thrust events around the Pacific through the MOST algorithm (e.g. Titov & Synolakis, 1995; Titov & Synolakis, 1998). Our preliminary results reveal that one would only need to consider the sum of the first 40 coefficients (equivalent to a resolution of 1000 km) to reproduce the main components of the "real" results. This would result in simpler simulations, and potentially allowing for more efficient tsunami warning algorithms.
Signs of Facial Aging in Men in a Diverse, Multinational Study: Timing and Preventive Behaviors.
Rossi, Anthony M; Eviatar, Joseph; Green, Jeremy B; Anolik, Robert; Eidelman, Michael; Keaney, Terrence C; Narurkar, Vic; Jones, Derek; Kolodziejczyk, Julia; Drinkwater, Adrienne; Gallagher, Conor J
2017-11-01
Men are a growing patient population in aesthetic medicine and are increasingly seeking minimally invasive cosmetic procedures. To examine differences in the timing of facial aging and in the prevalence of preventive facial aging behaviors in men by race/ethnicity. Men aged 18 to 75 years in the United States, Canada, United Kingdom, and Australia rated their features using photonumeric rating scales for 10 facial aging characteristics. Impact of race/ethnicity (Caucasian, black, Asian, Hispanic) on severity of each feature was assessed. Subjects also reported the frequency of dermatologic facial product use. The study included 819 men. Glabellar lines, crow's feet lines, and nasolabial folds showed the greatest change with age. Caucasian men reported more severe signs of aging and earlier onset, by 10 to 20 years, compared with Asian, Hispanic, and, particularly, black men. In all racial/ethnic groups, most men did not regularly engage in basic, antiaging preventive behaviors, such as use of sunscreen. Findings from this study conducted in a globally diverse sample may guide clinical discussions with men about the prevention and treatment of signs of facial aging, to help men of all races/ethnicities achieve their desired aesthetic outcomes.
ERIC Educational Resources Information Center
Laner, S.; And Others
This report is a critical evaluation based on extended field trials and theoretical analysis of the time-span technique of measuring level of work in organizational hierarchies. It is broadly concluded that the technique does possess many of the desirable features claimed by its originator, but that earlier, less highly structured versions based…
2010-12-01
with high correlation immunity and then evaluate these functions for other desirable cryptographic features. C. METHOD The only known primary methods...out if not used) # ---------------------------------- # PRIMARY = < primary file 1> < primary file 2> #SECONDARY = <secondary file 1...finding the fuction value for a //set u and for each value of v. end end
Physics-based approach to haptic display
NASA Technical Reports Server (NTRS)
Brown, J. Michael; Colgate, J. Edward
1994-01-01
This paper addresses the implementation of complex multiple degree of freedom virtual environments for haptic display. We suggest that a physics based approach to rigid body simulation is appropriate for hand tool simulation, but that currently available simulation techniques are not sufficient to guarantee successful implementation. We discuss the desirable features of a virtual environment simulation, specifically highlighting the importance of stability guarantees.
Improvisation in the Disorders of Desire: Performativity, Passion and Moral Education
ERIC Educational Resources Information Center
Munday, Ian
2010-01-01
In this article, I attempt to bring some colour to a discussion of fraught topics in education. Though the scenes and stories (from education and elsewhere) that feature here deal with racism, the discussion aims to say something to such topics more generally. The philosophers whose work I draw on here are Stanley Cavell and Judith Butler. Both…
Managing data from remeasured plots: An evaluation of existing systems
John C. Byrne; Michael D. Sweet
1992-01-01
Proper management of the valuable data from remeasured (or permanent) forest growth plots with data base management systems (DBMS) can greatly add to their utility. Twelve desired features for such a system (activities that facilitate the storage, accuracy, and use of the data for analysis) are described and used to evaluate the 36 systems found by a survey conducted...
Method and Apparatus for Virtual Interactive Medical Imaging by Multiple Remotely-Located Users
NASA Technical Reports Server (NTRS)
Ross, Muriel D. (Inventor); Twombly, Ian Alexander (Inventor); Senger, Steven O. (Inventor)
2003-01-01
A virtual interactive imaging system allows the displaying of high-resolution, three-dimensional images of medical data to a user and allows the user to manipulate the images, including rotation of images in any of various axes. The system includes a mesh component that generates a mesh to represent a surface of an anatomical object, based on a set of data of the object, such as from a CT or MRI scan or the like. The mesh is generated so as to avoid tears, or holes, in the mesh, providing very high-quality representations of topographical features of the object, particularly at high- resolution. The system further includes a virtual surgical cutting tool that enables the user to simulate the removal of a piece or layer of a displayed object, such as a piece of skin or bone, view the interior of the object, manipulate the removed piece, and reattach the removed piece if desired. The system further includes a virtual collaborative clinic component, which allows the users of multiple, remotely-located computer systems to collaboratively and simultaneously view and manipulate the high-resolution, three-dimensional images of the object in real-time.
Oxide films state analysis by IR spectroscopy based on the simple oscillator approximation
NASA Astrophysics Data System (ADS)
Volkov, N. V.; Yakutkina, T. V.; Karpova, V. V.
2017-05-01
Stabilization of structure-phase state in a wide temperature range is one of the most important problems of improving properties of oxide compounds. As such, the search of new effective methods for obtaining metal oxides with desired physic-chemical, electro-physical and thermal properties and their control is important and relevant. The aim of this work is identification features state of the oxide films of some metals Be, Al, Fe, Cu, Zr on the metal surface of the polycrystalline samples by infrared spectroscopy. To identify the resonance emission bands the algorithm of IR-spectra processing was developed and realized on the basis of table processor EXCEL-2010, which allow revealing characteristic resonance bands successfully and identification of inorganic chemical compounds. In the frame of simple oscillator model, resonance frequencies of normal vibrations of water and some inorganic compounds: metal oxides - Be, Al, Fe, Cu, Zr were calculated and characteristic frequencies for different states (aggregate, deformation, phase) were specified. By means of IR-spectroscopy fundamental possibility of revealing oxides films on metal substrate features state is shown, that allow development and optimization of the technology for production of the oxide films with desired properties.
Wang, Chi-Jane; Pai, Ming-Chyi; Hsiao, Hua-Shan; Wang, Jing-Jy
2015-12-01
Management of the disruptive behaviours is one of the most challenging aspects of caring for patients with Alzheimer's dementia (PwAD). The underlying needs of disruptive behaviours in PwAD had rarely been studied, especially the comparison of the underlying needs of disruptive behaviours in PwAD have never been mentioned. The purpose of this study was to investigate and compare the underlying needs of five common disruptive behaviours including hoarding, aggressive behaviour, repetitive behaviour, altered eating behaviour and delusion in PwAD, as perceived by family caregivers, and to relate these needs from the perspective of Maslow's hierarchy. An exploratory research design with qualitative data collection techniques was employed. Informed consent was obtained from each participant prior to the data collection. A total of 65 pairs of caregiver-patient with Alzheimer's disease participated in the study. A semi-structured interview guide was used during the interview, and the directed content analysis method was conducted to analyse data. Four themes related to the underlying needs of the five selected disruptive behaviours emerged from the data, and these included a desire for comfort (physical and psychological), a desire for security (psychological and economic), a need for a sense of belonging (including a need to connect with the outside world and a need for attention) and a need for self-control. These behaviour features were found closely related to Maslow's hierarchy model of human needs. Although the data were gathered from the caregivers, and the views of the patients were thus not included in the analysis, the findings provide information for health providers that can enable them to better understand the underlying needs of common disruptive behaviours in patients with Alzheimer's disease and thus help develop better patient-centred care plans. © 2015 Nordic College of Caring Science.
Effective Factors in Enhancing School Manager's Job Motivation
Mirzamani, S. Mahmoud; Esfahani, Hamideh Darb
2011-01-01
Objective This study examines the effective factors in enhancing school manager's job motivation from viewpoint of school mangers, teachers, education department managerial and staff experts in teaching, and also identifies and prioritizes each of these factors and indicators. Method For selecting a representative sample and increasing measurement precision, 587 people were selected using classified random sampling. The measurement tool was a 79-questionnaire made by the researcher. The questionnaire was collected using motivation theories and observing the findings of previous researches. Then, according to the three-stage Delphi technique, the questionnaire was sent to experts in education. The reliability of instruments was measured by calculating Cronbach's Alpha coefficient, and total reliability of the test was 0.99; the validity of the instrument was assessed by factor analysis (Construct Validity) and its load factor was 0.4 which was high. Results The results from factor analysis shows that the effective factors in enhancing manager's job motivation are as follows: self- actualization (51%) including 28 indices; social factor (7/9%) including 22 indices; self-esteem (3.2%) including 17 indices; job desirable features (2.2%) including 4 indices; physiologic (1.8%) including 4 indices; and job richness (1.6%) including 4 indices. Conclusions The results show that the six mentioned factors determine 68% of the total variance of manager's motivation. PMID:22952541
Effective Moment Feature Vectors for Protein Domain Structures
Shi, Jian-Yu; Yiu, Siu-Ming; Zhang, Yan-Ning; Chin, Francis Yuk-Lun
2013-01-01
Imaging processing techniques have been shown to be useful in studying protein domain structures. The idea is to represent the pairwise distances of any two residues of the structure in a 2D distance matrix (DM). Features and/or submatrices are extracted from this DM to represent a domain. Existing approaches, however, may involve a large number of features (100–400) or complicated mathematical operations. Finding fewer but more effective features is always desirable. In this paper, based on some key observations on DMs, we are able to decompose a DM image into four basic binary images, each representing the structural characteristics of a fundamental secondary structure element (SSE) or a motif in the domain. Using the concept of moments in image processing, we further derive 45 structural features based on the four binary images. Together with 4 features extracted from the basic images, we represent the structure of a domain using 49 features. We show that our feature vectors can represent domain structures effectively in terms of the following. (1) We show a higher accuracy for domain classification. (2) We show a clear and consistent distribution of domains using our proposed structural vector space. (3) We are able to cluster the domains according to our moment features and demonstrate a relationship between structural variation and functional diversity. PMID:24391828
NASA Astrophysics Data System (ADS)
Sadoghifar, Ali; Heikalabad, Saeed Rasouli
2018-05-01
Quantum-dot cellular automata is one of the recent new technologies at the nanoscale that can be a suitable replacement for CMOS technology. The circuits constructed in QCA technology have desirable features such as low power consumption, high speed and small size. These features can be more distinct in memory structures. In this paper, we design a new structure for content addressable memory cell in QCA. For this purpose, first, a unique gate is introduced for mask operation in QCA and then this gate is used to improve the performance of CAM. These structures are evaluated with QCADesigner simulator.
Multiplexed absorption tomography with calibration-free wavelength modulation spectroscopy
DOE Office of Scientific and Technical Information (OSTI.GOV)
Cai, Weiwei; Kaminski, Clemens F., E-mail: cfk23@cam.ac.uk
2014-04-14
We propose a multiplexed absorption tomography technique, which uses calibration-free wavelength modulation spectroscopy with tunable semiconductor lasers for the simultaneous imaging of temperature and species concentration in harsh combustion environments. Compared with the commonly used direct absorption spectroscopy (DAS) counterpart, the present variant enjoys better signal-to-noise ratios and requires no baseline fitting, a particularly desirable feature for high-pressure applications, where adjacent absorption features overlap and interfere severely. We present proof-of-concept numerical demonstrations of the technique using realistic phantom models of harsh combustion environments and prove that the proposed techniques outperform currently available tomography techniques based on DAS.
Fatigue Level Estimation of Bill Based on Acoustic Signal Feature by Supervised SOM
NASA Astrophysics Data System (ADS)
Teranishi, Masaru; Omatu, Sigeru; Kosaka, Toshihisa
Fatigued bills have harmful influence on daily operation of Automated Teller Machine(ATM). To make the fatigued bills classification more efficient, development of an automatic fatigued bill classification method is desired. We propose a new method to estimate bending rigidity of bill from acoustic signal feature of banking machines. The estimated bending rigidities are used as continuous fatigue level for classification of fatigued bill. By using the supervised Self-Organizing Map(supervised SOM), we estimate the bending rigidity from only the acoustic energy pattern effectively. The experimental result with real bill samples shows the effectiveness of the proposed method.
NASA Astrophysics Data System (ADS)
Cruz-Roa, Angel; Xu, Jun; Madabhushi, Anant
2015-01-01
Nuclear architecture or the spatial arrangement of individual cancer nuclei on histopathology images has been shown to be associated with different grades and differential risk for a number of solid tumors such as breast, prostate, and oropharyngeal. Graph-based representations of individual nuclei (nuclei representing the graph nodes) allows for mining of quantitative metrics to describe tumor morphology. These graph features can be broadly categorized into global and local depending on the type of graph construction method. While a number of local graph (e.g. Cell Cluster Graphs) and global graph (e.g. Voronoi, Delaunay Triangulation, Minimum Spanning Tree) features have been shown to associated with cancer grade, risk, and outcome for different cancer types, the sensitivity of the preceding segmentation algorithms in identifying individual nuclei can have a significant bearing on the discriminability of the resultant features. This therefore begs the question as to which features while being discriminative of cancer grade and aggressiveness are also the most resilient to the segmentation errors. These properties are particularly desirable in the context of digital pathology images, where the method of slide preparation, staining, and type of nuclear segmentation algorithm employed can all dramatically affect the quality of the nuclear graphs and corresponding features. In this paper we evaluated the trade off between discriminability and stability of both global and local graph-based features in conjunction with a few different segmentation algorithms and in the context of two different histopathology image datasets of breast cancer from whole-slide images (WSI) and tissue microarrays (TMA). Specifically in this paper we investigate a few different performance measures including stability, discriminability and stability vs discriminability trade off, all of which are based on p-values from the Kruskal-Wallis one-way analysis of variance for local and global graph features. Apart from identifying the set of local and global features that satisfied the trade off between stability and discriminability, our most interesting finding was that a simple segmentation method was sufficient to identify the most discriminant features for invasive tumour detection in TMAs, whereas for tumour grading in WSI, the graph based features were more sensitive to the accuracy of the segmentation algorithm employed.
Mental illness stigma and disclosure in college students.
Corrigan, Patrick W; Kosyluk, Kristin A; Markowitz, Fred; Brown, Robyn Lewis; Conlon, Bridget; Rees, Jo; Rosenberg, Jessica; Ellefson, Sarah; Al-Khouja, Maya
2016-06-01
The aim of this study was to investigate the relationship between mental illness identity, shame, secrecy, public stigma, and disclosure amongst college students. Participants included 1393 college students from five postsecondary institutions. Structural equation modeling was used to examine two path models predicting disclosure and desire to join a program aiding with disclosure. Variables found to be significant in predicting disclosure included mental illness identity and public stigma. In turn, desire for disclosure predicted desire to join a program aiding in disclosure. Gender and race/ethnic differences were observed, with men and Whites more likely to want to disclose a mental illness or join a program aiding with disclosure compared with women and non-Whites, respectively. These findings suggest that some college students may find programs aiding in disclosure useful in assisting them to achieve their desire to be "out" with their mental illness.
Induction heating apparatus and methods of operation thereof
Richardson, John G.
2006-08-01
Methods of operation of an induction melter include providing material within a cooled crucible proximate an inductor. A desired electromagnetic flux skin depth for heating the material within the crucible may be selected, and a frequency of an alternating current for energizing the inductor and for producing the desired skin depth may be selected. The alternating current frequency may be adjusted after energizing the inductor to maintain the desired electromagnetic flux skin depth. The desired skin depth may be substantially maintained as the temperature of the material varies. An induction heating apparatus includes a sensor configured to detect changes in at least one physical characteristic of a material to be heated in a crucible, and a controller configured for selectively varying a frequency of an alternating current for energizing an inductor at least partially in response to changes in the physical characteristic to be detected by the sensor.
Pooremamali, Parvin; Eklund, Mona; Östman, Margareta; Persson, Dennis
2012-07-01
Persons with a Middle Eastern background represent a minority in Sweden which has significantly increased in size over recent years. The purpose of the present study was to explore the elements that shape the experiences and perceptions of clients with a Middle Eastern background living by Muslim norms who received occupational therapy in mental health care at the time of participating in the study. The study included interviews with 11 clients who received occupational therapy in mental health care. Data collection and analysis were carried out in accordance with the grounded theory approach. One core category, desiring a union, described the clients' desire for an alliance with the therapists that encompassed the realities and truths embedded in their values, preferences, world-views, and belief systems, as well as a wish to reconstruct their abilities to function and perform daily life tasks within their cultural contexts. The core category included sub-categories: desiring relationship, desiring affiliation, and desiring affirmation as well as some related components. The overall findings showed a tentative model in which the notion of mahram affinity was embedded. The results demonstrated that the clients' views regarding desiring a union had their support in collectivistic world-views that often clash with those of the therapists.
NASA Astrophysics Data System (ADS)
Bartell, Richard J.; Perram, Glen P.; Fiorino, Steven T.; Long, Scott N.; Houle, Marken J.; Rice, Christopher A.; Manning, Zachary P.; Bunch, Dustin W.; Krizo, Matthew J.; Gravley, Liesebet E.
2005-06-01
The Air Force Institute of Technology's Center for Directed Energy has developed a software model, the High Energy Laser End-to-End Operational Simulation (HELEEOS), under the sponsorship of the High Energy Laser Joint Technology Office (JTO), to facilitate worldwide comparisons across a broad range of expected engagement scenarios of expected performance of a diverse range of weight-constrained high energy laser system types. HELEEOS has been designed to meet JTO's goals of supporting a broad range of analyses applicable to the operational requirements of all the military services, constraining weapon effectiveness through accurate engineering performance assessments allowing its use as an investment strategy tool, and the establishment of trust among military leaders. HELEEOS is anchored to respected wave optics codes and all significant degradation effects, including thermal blooming and optical turbulence, are represented in the model. The model features operationally oriented performance metrics, e.g. dwell time required to achieve a prescribed probability of kill and effective range. Key features of HELEEOS include estimation of the level of uncertainty in the calculated Pk and generation of interactive nomographs to allow the user to further explore a desired parameter space. Worldwide analyses are enabled at five wavelengths via recently available databases capturing climatological, seasonal, diurnal, and geographical spatial-temporal variability in atmospheric parameters including molecular and aerosol absorption and scattering profiles and optical turbulence strength. Examples are provided of the impact of uncertainty in weight-power relationships, coupled with operating condition variability, on results of performance comparisons between chemical and solid state lasers.
Zhu, Shuze; Li, Teng
2014-03-25
The malleable nature of atomically thin graphene makes it a potential candidate material for nanoscale origami, a promising bottom-up nanomanufacturing approach to fabricating nanobuilding blocks of desirable shapes. The success of graphene origami hinges upon precise and facile control of graphene morphology, which still remains as a significant challenge. Inspired by recent progresses on functionalization and patterning of graphene, we demonstrate hydrogenation-assisted graphene origami (HAGO), a feasible and robust approach to enabling the formation of unconventional carbon nanostructures, through systematic molecular dynamics simulations. A unique and desirable feature of HAGO-enabled nanostructures is the programmable tunability of their morphology via an external electric field. In particular, we demonstrate reversible opening and closing of a HAGO-enabled graphene nanocage, a mechanism that is crucial to achieve molecular mass uptake, storage, and release. HAGO holds promise to enable an array of carbon nanostructures of desirable functionalities by design. As an example, we demonstrate HAGO-enabled high-density hydrogen storage with a weighted percentage exceeding the ultimate goal of US Department of Energy.
Desire for autonomy in health care decisions: a general population survey.
Cullati, Stéphane; Courvoisier, Delphine S; Charvet-Bérard, Agathe I; Perneger, Thomas V
2011-04-01
To examine factors associated with desire for autonomy in health care decisions in the general population. Mailed survey of 2348 residents of Geneva, Switzerland. Participants answered questions on a scale measuring their desire for autonomy in health care decisions. The scale was scored between 0 (lowest desire for autonomy) and 100 (highest desire for autonomy). On average the respondents favoured shared or active involvement in medical decisions (mean score 62.0, SD 20.9), but attitudes varied considerably. In the multivariate model, factors associated with a higher desire for autonomy included female gender, younger age, higher education, living alone, reporting an excellent global health and - a new observation compared to previous studies - having made several medical decisions in the past 6 months. The attitudes of the general public appear to be consistent with the model of shared decision making. However, people vary considerably in their desire for autonomy. An explicit assessment of each individual's desire for autonomy may improve the decision-making process. Such an assessment should be repeated regularly, as familiarity with medical decisions may increase the desire for autonomy. Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.
Sullivan, Rachel K; Marsh, Samantha; Halvarsson, Jakob; Holdsworth, Michelle; Waterlander, Wilma; Poelman, Maartje P; Salmond, Jennifer Ann; Christian, Hayley; Koh, Lenny SC; Cade, Janet E; Spence, John C; Woodward, Alistair
2016-01-01
Background Climate change and the burden of noncommunicable diseases are major global challenges. Opportunities exist to investigate health and climate change co-benefits through a shift from motorized to active transport (walking and cycling) and a shift in dietary patterns away from a globalized diet to reduced consumption of meat and energy dense foods. Given the ubiquitous use and proliferation of smartphone apps, an opportunity exists to use this technology to capture individual travel and dietary behavior and the associated impact on the environment and health. Objective The objective of the study is to identify, describe the features, and rate the quality of existing smartphone apps which capture personal travel and dietary behavior and simultaneously estimate the carbon cost and potential health consequences of these actions. Methods The Google Play and Apple App Stores were searched between October 19 and November 6, 2015, and a secondary Google search using the apps filter was conducted between August 8 and September 18, 2016. Eligible apps were required to estimate the carbon cost of personal behaviors with the potential to include features to maximize health outcomes. The quality of included apps was assessed by 2 researchers using the Mobile Application Rating Scale (MARS). Results Out of 7213 results, 40 apps were identified and rated. Multiple travel-related apps were identified, however no apps solely focused on the carbon impact or health consequences of dietary behavior. None of the rated apps provided sufficient information on the health consequences of travel and dietary behavior. Some apps included features to maximize participant engagement and encourage behavior change towards reduced greenhouse gas emissions. Most apps were rated as acceptable quality as determined by the MARS; 1 was of poor quality and 10 apps were of good quality. Interrater reliability of the 2 evaluators was excellent (ICC=0.94, 95% CI 0.87-0.97). Conclusions Existing apps capturing travel and dietary behavior and the associated health and environmental impact are of mixed quality. Most apps do not include all desirable features or provide sufficient health information. Further research is needed to determine the potential of smartphone apps to evoke behavior change resulting in climate change and health co-benefits. PMID:27993762
Opinion Paper: On the Diagnosis/Classification of Sexual Arousal Concerns in Women.
Althof, Stanley E; Meston, Cindy M; Perelman, Michael A; Handy, Ariel B; Kilimnik, Chelsea D; Stanton, Amelia M
2017-11-01
In the professional literature and among our professional societies, female sexual dysfunction nomenclature and diagnostic criterion sets have been the source of considerable controversy. Recently, a consensus group, supported by the International Society for Women's Sexual Health, published its recommendations for nosology and nomenclature, which included only one type of arousal dysfunction, female genital arousal disorder, in its classification system. Subjective arousal was considered an aspect of sexual desire and not part of the arousal phase. To advocate for the importance of including subjective arousal disorder in the diagnostic nomenclature in addition to the genital arousal subtype. We reviewed how the construct of subjective arousal was included in or eliminated from the iterations of various diagnostic and statistical manuals. The Female Sexual Function Index (FSFI) was used to examine the relations among subjective arousal, genital arousal, and desire in women with and without sexual arousal concerns. Sexual arousal through a self-report Film Scale, physiologic sexual arousal through vaginal photoplethysmography in response to an erotic film, and the FSFI. The clinical literature and experience support differentiating subjective arousal from desire and genital arousal. Correlations between the FSFI domains representing desire and subjective arousal, although sufficient to suggest relatedness, share approximately 58% of the variance between constructs-a lower shared variance than FSFI domains representing subjective arousal and orgasm. Similarly, when looking at FSFI individual items best representative of sexual desire and subjective arousal, the large majority of the variance in subjective arousal was unexplained by desire. A third line of evidence showed no significant difference in levels of subjective arousal to erotic films between sexually functional women and women with desire problems. If desire and subjective arousal were the same construct, then one would expect to see evidence of low subjective arousal in women with low sexual desire. Optimized treatment efficacy requires differentiating mental and physical factors that contribute to female sexual dysfunction. Support for our conclusion is based on clinical qualitative evidence and quantitative evidence. However, the quantitative support is from only one laboratory at this time. These findings strongly support the view that female sexual arousal disorder includes a subjective arousal subtype and that subjective arousal and desire are related but not similar constructs. We advocate for the relevance of maintaining subjective arousal disorder in the diagnostic nomenclature and present several lines of evidence to support this contention. Althof SE, Meston CM, Perelman M, et al. Opinion Paper: On the Diagnosis/Classification of Sexual Arousal Concerns in Women. J Sex Med 2017;14:1365-1371. Copyright © 2017 International Society for Sexual Medicine. Published by Elsevier Inc. All rights reserved.
Modelling marine protected areas: insights and hurdles
Fulton, Elizabeth A.; Bax, Nicholas J.; Bustamante, Rodrigo H.; Dambacher, Jeffrey M.; Dichmont, Catherine; Dunstan, Piers K.; Hayes, Keith R.; Hobday, Alistair J.; Pitcher, Roland; Plagányi, Éva E.; Punt, André E.; Savina-Rolland, Marie; Smith, Anthony D. M.; Smith, David C.
2015-01-01
Models provide useful insights into conservation and resource management issues and solutions. Their use to date has highlighted conditions under which no-take marine protected areas (MPAs) may help us to achieve the goals of ecosystem-based management by reducing pressures, and where they might fail to achieve desired goals. For example, static reserve designs are unlikely to achieve desired objectives when applied to mobile species or when compromised by climate-related ecosystem restructuring and range shifts. Modelling tools allow planners to explore a range of options, such as basing MPAs on the presence of dynamic oceanic features, and to evaluate the potential future impacts of alternative interventions compared with ‘no-action’ counterfactuals, under a range of environmental and development scenarios. The modelling environment allows the analyst to test if indicators and management strategies are robust to uncertainties in how the ecosystem (and the broader human–ecosystem combination) operates, including the direct and indirect ecological effects of protection. Moreover, modelling results can be presented at multiple spatial and temporal scales, and relative to ecological, economic and social objectives. This helps to reveal potential ‘surprises', such as regime shifts, trophic cascades and bottlenecks in human responses. Using illustrative examples, this paper briefly covers the history of the use of simulation models for evaluating MPA options, and discusses their utility and limitations for informing protected area management in the marine realm. PMID:26460131
Touch HDR: photograph enhancement by user controlled wide dynamic range adaptation
NASA Astrophysics Data System (ADS)
Verrall, Steve; Siddiqui, Hasib; Atanassov, Kalin; Goma, Sergio; Ramachandra, Vikas
2013-03-01
High Dynamic Range (HDR) technology enables photographers to capture a greater range of tonal detail. HDR is typically used to bring out detail in a dark foreground object set against a bright background. HDR technologies include multi-frame HDR and single-frame HDR. Multi-frame HDR requires the combination of a sequence of images taken at different exposures. Single-frame HDR requires histogram equalization post-processing of a single image, a technique referred to as local tone mapping (LTM). Images generated using HDR technology can look less natural than their non- HDR counterparts. Sometimes it is only desired to enhance small regions of an original image. For example, it may be desired to enhance the tonal detail of one subject's face while preserving the original background. The Touch HDR technique described in this paper achieves these goals by enabling selective blending of HDR and non-HDR versions of the same image to create a hybrid image. The HDR version of the image can be generated by either multi-frame or single-frame HDR. Selective blending can be performed as a post-processing step, for example, as a feature of a photo editor application, at any time after the image has been captured. HDR and non-HDR blending is controlled by a weighting surface, which is configured by the user through a sequence of touches on a touchscreen.
First results from a temporary seismological network in the Southern Dead Sea area
NASA Astrophysics Data System (ADS)
Braeuer, B.; Asch, G.; Hofstetter, A.; Haberland, C.; Darwish, J.; El-Kelani, R.; Weber, M.
2008-12-01
Within the framework of the international project DESIRE (Dead Sea Integrated Research Project) a local seismological network was operated in the Southern Dead Sea area as a co-operation between the GFZ Germany, GII Israel, NRA Jordan and An-Najah National Univer-sity Palestine. From October 2006 to March 2008 about 65 short period (38) and broadband (27) instruments recorded continuously the seismicity of the Dead Sea basin. This investiga-tion aims in studying the deeper structure of the Dead Sea area based on the distribution of the local seismicity. About 500 local events have been recorded and more than 300 have been processed up to now. A dominant feature in this first part of the dataset we found a cluster of 78 earthquakes, occurring in February 2007, including multiplets. We determined a 1D-reference model of P- and S-velocities using Velest (Kissling et al., 1994). The model shows a high velocity increase between 6 and 10 km depth. This could be related to a prominent reflector found in the results of the wide angle reflection experiment in the area in 2006 (Mechie et al., 2008). The station corrections suggest a 2D structure with the basin in the middle and the shoulders on the east and west. Additionally the results are compared with receiver function and magnetotelluric studies, part of the DESIRE project.
van Pelt, Roy; Nguyen, Huy; ter Haar Romeny, Bart; Vilanova, Anna
2012-03-01
Quantitative analysis of vascular blood flow, acquired by phase-contrast MRI, requires accurate segmentation of the vessel lumen. In clinical practice, 2D-cine velocity-encoded slices are inspected, and the lumen is segmented manually. However, segmentation of time-resolved volumetric blood-flow measurements is a tedious and time-consuming task requiring automation. Automated segmentation of large thoracic arteries, based solely on the 3D-cine phase-contrast MRI (PC-MRI) blood-flow data, was done. An active surface model, which is fast and topologically stable, was used. The active surface model requires an initial surface, approximating the desired segmentation. A method to generate this surface was developed based on a voxel-wise temporal maximum of blood-flow velocities. The active surface model balances forces, based on the surface structure and image features derived from the blood-flow data. The segmentation results were validated using volunteer studies, including time-resolved 3D and 2D blood-flow data. The segmented surface was intersected with a velocity-encoded PC-MRI slice, resulting in a cross-sectional contour of the lumen. These cross-sections were compared to reference contours that were manually delineated on high-resolution 2D-cine slices. The automated approach closely approximates the manual blood-flow segmentations, with error distances on the order of the voxel size. The initial surface provides a close approximation of the desired luminal geometry. This improves the convergence time of the active surface and facilitates parametrization. An active surface approach for vessel lumen segmentation was developed, suitable for quantitative analysis of 3D-cine PC-MRI blood-flow data. As opposed to prior thresholding and level-set approaches, the active surface model is topologically stable. A method to generate an initial approximate surface was developed, and various features that influence the segmentation model were evaluated. The active surface segmentation results were shown to closely approximate manual segmentations.
Encapsulant materials and associated devices
Kempe, Michael D [Littleton, CO; Thapa, Prem [Lima, OH
2011-03-08
Compositions suitable for use as encapsulants are described. The inventive compositions include a high molecular weight polymeric material, a curing agent, an inorganic compound, and a coupling agent. Optional elements include adhesion promoting agents, colorants, antioxidants, and UV absorbers. The compositions have desirable diffusivity properties, making them suitable for use in devices in which a substantial blocking of moisture ingress is desired, such as photovoltaic (PV) modules.
Encapsulant materials and associated devices
Kempe, Michael D [Littleton, CO; Thapa, Prem [Lima, OH
2012-05-22
Compositions suitable for use as encapsulants are described. The inventive compositions include a high molecular weight polymeric material, a curing agent, an inorganic compound, and a coupling agent. Optional elements include adhesion promoting agents, colorants, antioxidants, and UV absorbers. The compositions have desirable diffusivity properties, making them suitable for use in devices in which a substantial blocking of moisture ingress is desired, such as photovoltaic (PV) modules.
Air Force Training: Further Analysis and Planning Needed to Improve Effectiveness
2016-09-01
training, and (3) established virtual training plans that include desirable characteristics of a comprehensive strategy. GAO reviewed Air Force training...requirements may not reflect current and emerging training needs, because the Air Force has not comprehensively reassessed the assumptions underlying them...include all desirable characteristics of a comprehensive strategy, such as a risk-based investment strategy or a time line for addressing training needs
Efficient model learning methods for actor-critic control.
Grondman, Ivo; Vaandrager, Maarten; Buşoniu, Lucian; Babuska, Robert; Schuitema, Erik
2012-06-01
We propose two new actor-critic algorithms for reinforcement learning. Both algorithms use local linear regression (LLR) to learn approximations of the functions involved. A crucial feature of the algorithms is that they also learn a process model, and this, in combination with LLR, provides an efficient policy update for faster learning. The first algorithm uses a novel model-based update rule for the actor parameters. The second algorithm does not use an explicit actor but learns a reference model which represents a desired behavior, from which desired control actions can be calculated using the inverse of the learned process model. The two novel methods and a standard actor-critic algorithm are applied to the pendulum swing-up problem, in which the novel methods achieve faster learning than the standard algorithm.
Linden, Wolfgang; Vodermaier, Andrea
2012-07-01
Perceived social support serves as a buffer against stress in cancer patients as well as in the healthy. However, not all individuals low in support necessarily want more support. We, therefore, tested a match-mismatch model (low versus high perceived support relative to low versus high desired support) with regard to its association with emotional distress. Participants included two large samples of n = 576 consecutively recruited, newly diagnosed cancer patients and n = 383 healthy controls. The hypothesized interaction effects of perceived and desired support and its impact on anxiety and depressive symptoms were tested via hierarchical linear regression. Perceived social support and desire for support were orthogonal in cancer patients (r = -0.03, p = 0.56). In accordance with the match-mismatch model, only those cancer patients with a high desire for support but who perceived low support exceeded cut-offs suggestive of anxiety and/or depressive disorder, whereas the other patient groups did not show clinical symptoms. Results for healthy controls were weaker. The findings support the hypothesized match-mismatch model suggesting that lack of social support is only associated with emotional distress when patients desire more support than they actually perceive as having. Perceived as well as desired social support are, therefore, relevant and non-overlapping constructs to be included in screening tools for emotional distress in order to heighten the utility of screening as a decision aid to guide psycho-oncological follow-up.
A Desire for Social Media Is Associated With a Desire for Solitary but Not Social Activities.
Hill, Lauren; Zheng, Zane
2017-01-01
While social media is an aspect of life for many, it brings to light the lack of interpersonal connection when browsing activity occurs. The displacement theory suggests that the quality of one's offline interactions is affected by how much time an individual allots to those exchanges. Depending on the amount of time spent online, interpersonal connections may suffer and lead to negative psychological consequences. Our study aimed to explore the relationship between the desirability of social media and socialization preferences through a cue-based perceptual judgment task where participants ( N = 136) rated 40 gray-scale images in terms of their desirability. The image categories included social media icons, singular scenes depicting an isolated activity, social scenes representing an interactive activity, and traffic signs as the control. We also included questionnaires to assess depressiveness and aspects of social media usage. Our findings suggest that the immediate desire for social media is potentially linked to one's desire for social isolation as represented by the singular scene category, the intensity of participant's reported daily usage, and the extent to which social media is perceived to impact real social life. To our knowledge, this is the first report on the initial desirability judgment of social media and its association with other factors. Further research is needed to distinguish the variability in users' aim of using social media and if that is related to one's perceived feelings of social connectedness and solitude.
Use of advanced hardwood sawmill equipment, and desired features for next-generation systems
Scott Bowe; Robert Smith; Philip A. Araman; D. Earl Kline
2000-01-01
The hardwood sawmill industry is extremely important to the U.S. economy. This importance is demonstrated by the yearly consumption of over 13 billion board feet (BBF) of hardwood lumber produced in the U.S. (Hansen &West 1998). This material is the foundation of many value-adding industries worth tens of billions of dollars (U.S. Census Bureau 1999).Many...
Control of Reaction Surface in Low Temperature CVD to Enhance Nucleation and Conformal Coverage
ERIC Educational Resources Information Center
Kumar, Navneet
2009-01-01
The Holy Grail in CVD community is to find precursors that can afford the following: good nucleation on a desired substrate and conformal deposition in high AR features. Good nucleation is not only necessary for getting ultra-thin films at low thicknesses; it also offers films that are smooth at higher thickness values. On the other hand,…
Constant-frequency, clamped-mode resonant converters
NASA Technical Reports Server (NTRS)
Tsai, Fu-Sheng; Materu, Peter; Lee, Fred C.
1987-01-01
Two novel clamped-mode resonant converters are proposed which operate at a constant frequency while retaining many desired features of conventional series- and parallel-resonant converters. State-plane analysis techniques are used to identify all possible operating modes and define their mode boundaries. Control-to-output characteristics are derived that specify the regions for natural and forced commutation. The predicted operating modes are verified using a prototype circuit.
Lessons Learned in Cyberspace Security
2014-06-01
software; something undesirable is packaged together with something desirable. A classic example was Elf Bowling attachment, which ran rampant through...the authors’ former school. It combined a fun program featuring elves as bowling pins, however it was packaged with SubSeven (Sub7) malware that...allowed remote access to the infected machine. IExpress, which is delivered in the Windows OS, is one of the legitimate tools for packaging multiple
Robust Control Design for Flight Control
1989-07-01
controller may be designed to produce desired responses to pilot commands, responses to external (atmospheric) disturbances may be unusual and...suggested for stabilizing open loop unstable aircraft result in nonminimum phase zeros in the dynamics as seen by the pilot . This issue has not been...stability test it does retain several essential features of the popular single loop test developed by Nyquist. In particular, it identifies a Nyquist
An all-FORTRAN version of NASTRAN for the VAX
NASA Technical Reports Server (NTRS)
Purves, L.
1981-01-01
All FORTRAN version of NASA structural analysis program NASATRAN is implemented on DEC VAX-series computer. Applications of NASATRAN extend to almost every type of linear structure and construction. Two special features are available in VAX version; program is executed from terminal in manner permitting use of VAX interactive debugger, and links are interactively restarted when desired by first making copy of all NASATRAN work files.
A computational model for doctoring fluid films in gravure printing
DOE Office of Scientific and Technical Information (OSTI.GOV)
Hariprasad, Daniel S., E-mail: dshari@unm.edu; Grau, Gerd; Schunk, P. Randall
2016-04-07
The wiping, or doctoring, process in gravure printing presents a fundamental barrier to resolving the micron-sized features desired in printed electronics applications. This barrier starts with the residual fluid film left behind after wiping, and its importance grows as feature sizes are reduced, especially as the feature size approaches the thickness of the residual fluid film. In this work, various mechanical complexities are considered in a computational model developed to predict the residual fluid film thickness. Lubrication models alone are inadequate, and deformation of the doctor blade body together with elastohydrodynamic lubrication must be considered to make the model predictivemore » of experimental trends. Moreover, model results demonstrate that the particular form of the wetted region of the blade has a significant impact on the model's ability to reproduce experimental measurements.« less
The desirable qualities of future doctors--a study of medical student perceptions.
Hurwitz, Steven; Kelly, Brian; Powis, David; Smyth, Robyn; Lewin, Terry
2013-07-01
There is a lack of consensus regarding the qualities possessed by the ideal doctor, and very limited research regarding the views of medical students on these qualities. To investigate the views of commencing medical students regarding the desirable qualities of doctors. A survey containing a set of proposed desirable qualities of doctors identified from the existing literature was completed by 158 first-year medical students. The survey had a 75% response rate. Students rated the individual qualities of empathy, motivation to be a doctor, good verbal communication, ethically sound, integrity and honesty as the most important. A factor analysis identified six categories of qualities: methodical processing, cognitive capacity, people skills, generic work ethic, role certainty and warmth. Significant differences in factor scores were found across subgroups of students (international and domestic students, with and without prior tertiary studies) on the following factors: methodical processing, which was scored highest by domestic students with prior tertiary studies, cognitive capacity, which was scored highest by domestic students without prior tertiary studies and generic work ethic, which was scored highest by international students. Medical students identified a range of desirable personal qualities of a doctor which varied according to student characteristics, including their prior educational experience. Future research aiming to define such desirable qualities should include a broader range of stakeholders, including students at different training levels and institutions.
Diagnostic for two-mode variable valve activation device
Fedewa, Andrew M
2014-01-07
A method is provided for diagnosing a multi-mode valve train device which selectively provides high lift and low lift to a combustion valve of an internal combustion engine having a camshaft phaser actuated by an electric motor. The method includes applying a variable electric current to the electric motor to achieve a desired camshaft phaser operational mode and commanding the multi-mode valve train device to a desired valve train device operational mode selected from a high lift mode and a low lift mode. The method also includes monitoring the variable electric current and calculating a first characteristic of the parameter. The method also includes comparing the calculated first characteristic against a predetermined value of the first characteristic measured when the multi-mode valve train device is known to be in the desired valve train device operational mode.
NASA Technical Reports Server (NTRS)
Wade, Lawrence A.; Kartalov, Emil; Shibata, Darryl; Taylor, Clive
2011-01-01
Tissue lithography will enable physicians and researchers to obtain macromolecules with high purity (greater than 90 percent) from desired cells in conventionally processed, clinical tissues by simply annotating the desired cells on a computer screen. After identifying the desired cells, a suitable lithography mask will be generated to protect the contents of the desired cells while allowing destruction of all undesired cells by irradiation with ultraviolet light. The DNA from the protected cells can be used in a number of downstream applications including DNA sequencing. The purity (i.e., macromolecules isolated form specific cell types) of such specimens will greatly enhance the value and information of downstream applications. In this method, the specific cells are isolated on a microscope slide using photolithography, which will be faster, more specific, and less expensive than current methods. It relies on the fact that many biological molecules such as DNA are photosensitive and can be destroyed by ultraviolet irradiation. Therefore, it is possible to protect the contents of desired cells, yet destroy undesired cells. This approach leverages the technologies of the microelectronics industry, which can make features smaller than 1 micrometer with photolithography. A variety of ways has been created to achieve identification of the desired cell, and also to designate the other cells for destruction. This can be accomplished through chrome masks, direct laser writing, and also active masking using dynamic arrays. Image recognition is envisioned as one method for identifying cell nuclei and cell membranes. The pathologist can identify the cells of interest using a microscopic computerized image of the slide, and appropriate custom software. In one of the approaches described in this work, the software converts the selection into a digital mask that can be fed into a direct laser writer, e.g. the Heidelberg DWL66. Such a machine uses a metalized glass plate (with chrome metallization) on which there is a thin layer of photoresist. The laser transfers the digital mask onto the photoresist by direct writing, with typical best resolution of 2 micrometers. The plate is then developed to remove the exposed photoresist, which leaves the exposed areas susceptible to chemical chrome etch. The etch removes the unprotected chrome. The rest of the photoresist is then removed, by either ultraviolet organic solvent or over-development. The remaining chrome pattern is quickly oxidized by atmospheric exposure (typically within 30 seconds). The ready chrome mask is now applied to the tissue slide and aligned manually, or using automatic software and pre-designed alignment marks. The slide plate sandwich is then exposed to UV to destroy the DNA of the unwanted cells. The slide and plate are separated and the slide is processed in a standard way to prepare for polymerase chain reaction (PCR) and potential identification of cancer sequences.
All-dielectric resonant cavity-enabled metals with broadband optical transparency
NASA Astrophysics Data System (ADS)
Liu, Zhengqi; Zhang, Houjiao; Liu, Xiaoshan; Pan, Pingping; Liu, Yi; Tang, Li; Liu, Guiqiang
2017-06-01
Metal films with broadband optical transparency are desirable in many optoelectronic devices, such as displays, smart windows, light-emitting diodes and infrared detectors. As bare metal is opaque to light, this issue of transparency attracts great scientific interest. In this work, we proposed and demonstrated a feasible and universal approach for achieving broadband optical transparent (BOT) metals by utilizing all-dielectric resonant cavities. Resonant dielectrics provide optical cavity modes and couple strongly with the surface plasmons of the metal film, and therefore produce a broadband near-unity optical transparent window. The relative enhancement factor (EF) of light transmission exceeds 3400% in comparison with that of pure metal film. Moreover, the transparent metal motif can be realized by other common metals including gold (Au), silver (Ag) and copper (Cu). These optical features together with the fully retained electric and mechanical properties of a natural metal suggest that it will have wide applications in optoelectronic devices.
NASA Astrophysics Data System (ADS)
Nishiyama, Randall T.; Bedard, Alfred J., Jr.
1991-09-01
There are many areas of need for accurate measurements of atmospheric static pressure. These include observations of surface meteorology, airport altimeter settings, pressure distributions around buildings, moving measurement platforms, as well as basic measurements of fluctuating pressures in turbulence. Most of these observations require long-term observations in adverse environments (e.g., rain, dust, or snow). Currently, many pressure measurements are made, of necessity, within buildings, thus involving potential errors of several millibars in mean pressure during moderate winds, accompanied by large fluctuating pressures induced by the structure. In response to these needs, a 'Quad-Disk' pressure probe for continuous, outdoor monitoring purposes was designed which is inherently weather-protected. This Quad-Disk probe has the desirable features of omnidirectional response and small error in pitch. A review of past static pressure probes contrasts design approaches and capabilities.
Allele quantification using molecular inversion probes (MIP)
Wang, Yuker; Moorhead, Martin; Karlin-Neumann, George; Falkowski, Matthew; Chen, Chunnuan; Siddiqui, Farooq; Davis, Ronald W.; Willis, Thomas D.; Faham, Malek
2005-01-01
Detection of genomic copy number changes has been an important research area, especially in cancer. Several high-throughput technologies have been developed to detect these changes. Features that are important for the utility of technologies assessing copy number changes include the ability to interrogate regions of interest at the desired density as well as the ability to differentiate the two homologs. In addition, assessing formaldehyde fixed and paraffin embedded (FFPE) samples allows the utilization of the vast majority of cancer samples. To address these points we demonstrate the use of molecular inversion probe (MIP) technology to the study of copy number. MIP is a high-throughput genotyping technology capable of interrogating >20 000 single nucleotide polymorphisms in the same tube. We have shown the ability of MIP at this multiplex level to provide copy number measurements while obtaining the allele information. In addition we have demonstrated a proof of principle for copy number analysis in FFPE samples. PMID:16314297
NASA Technical Reports Server (NTRS)
Garrick, I E; Kaplan, Carl
1944-01-01
Elementary basic solutions of the equations of motion of a compressible fluid in the hodograph variables are developed and used to provide a basis for comparison, in the form of velocity correction formulas, of corresponding compressible and incompressible flows. The known approximate results of Chaplygin, Von Karman and Tsien, Temple and Yarwood, and Prandtl and Glauert are unified by means of the analysis of the present paper. Two new types of approximations, obtained from the basic solutions, are introduced; they possess certain desirable features of the other approximations and appear preferable as a basis for extrapolation into the range of high stream Mach numbers and large disturbances to the main stream. Tables and figures giving velocity and pressure-coefficient correction factors are included in order to facilitate the practical application of the results.
Molecular regulation of effector and memory T cell differentiation
Chang, John T; Wherry, E John; Goldrath, Ananda W
2015-01-01
Immunological memory is a cardinal feature of adaptive immunity and an important goal of vaccination strategies. Here we highlight advances in the understanding of the diverse T lymphocyte subsets that provide acute and long-term protection from infection. These include new insights into the transcription factors, and the upstream ‘pioneering’ factors that regulate their accessibility to key sites of gene regulation, as well as metabolic regulators that contribute to the differentiation of effector and memory subsets; ontogeny and defining characteristics of tissue-resident memory lymphocytes; and origins of the remarkable heterogeneity exhibited by activated T cells. Collectively, these findings underscore progress in delineating the underlying pathways that control diversification in T cell responses but also reveal gaps in the knowledge, as well as the challenges that arise in the application of this knowledge to rationally elicit desired T cell responses through vaccination and immunotherapy. PMID:25396352
Rifampicin-containing antibiotic combinations in the treatment of difficult infections.
Grüneberg, R N; Emmerson, A M; Ridgway, G L
1984-06-01
Combination of rifampicin with trimethoprim, erythromycin, tetracycline or fusidic acid have some desirable features in the treatment of difficult infections. They are active against a very wide range of possible pathogens. Resistance to rifampicin is rare. Such combinations may be bactericidal and may be usefully synergistic. They may prevent or delay the emergence of bacterial resistant seen when some single agents are used. They can be used in patients with penicillin hypersensitivity. A series of life-threatening infections has been treated with rifampicin-containing combinations. The infections included endocarditis, meningitis, pneumonia, Legionnaire's disease, and head and neck sepsis. A major reason for the choice of drug was often penicillin hypersensitivity. A second reason was the presumption (mostly subsequently confirmed) that streptococci and/or staphylococci were implicated. The clinical outcome of these infections was generally satisfactory, with few side effects and little evidence of the emergence of antibiotic resistance.
Statistical analysis of excitation energies in actinide and rare-earth nuclei
NASA Astrophysics Data System (ADS)
Levon, A. I.; Magner, A. G.; Radionov, S. V.
2018-04-01
Statistical analysis of distributions of the collective states in actinide and rare-earth nuclei is performed in terms of the nearest-neighbor spacing distribution (NNSD). Several approximations, such as the linear approach to the level repulsion density and that suggested by Brody to the NNSDs were applied for the analysis. We found an intermediate character of the experimental spectra between the order and the chaos for a number of rare-earth and actinide nuclei. The spectra are closer to the Wigner distribution for energies limited by 3 MeV, and to the Poisson distribution for data including higher excitation energies and higher spins. The latter result is in agreement with the theoretical calculations. These features are confirmed by the cumulative distributions, where the Wigner contribution dominates at smaller spacings while the Poisson one is more important at larger spacings, and our linear approach improves the comparison with experimental data at all desired spacings.
A Fruitful Endeavor: Modeling ALS in the Fruit Fly
Casci, Ian; Pandey, Udai Bhan
2014-01-01
For over a century Drosophila melanogaster, commonly known as the fruit fly, has been instrumental in genetics research and disease modeling. In more recent years, it has been a powerful tool for modeling and studying neurodegenerative diseases, including the devastating and fatal amyotrophic lateral sclerosis (ALS). The success of this model organism in ALS research comes from the availability of tools to manipulate gene/protein expression in a number of desired cell-types, and the subsequent recapitulation of cellular and molecular phenotypic features of the disease. Several Drosophila models have now been developed for studying the roles of ALS-associated genes in disease pathogenesis that allowed us to understand the molecular pathways that lead to motor neuron degeneration in ALS patients. Our primary goal in this review is to highlight the lessons we have learned using Drosophila models pertaining to ALS research. PMID:25289585
DOE Office of Scientific and Technical Information (OSTI.GOV)
Li, Kenan; Jacobsen, Chris
Fresnel zone plates used for X-ray nanofocusing face high-aspect-ratio nanofabrication challenges in combining narrow transverse features (for high spatial resolution) along with extended optical modulation along the X-ray beam direction (to improve efficiency). The stacking of multiple Fresnel zone plates along the beam direction has already been shown to offer improved characteristics of resolution and efficiency when compared with thin single zone plates. Using multislice wave propagation simulation methods, here a number of new schemes for the stacking of multiple Fresnel zone plates are considered. These include consideration of optimal thickness and spacing in the axial direction, and methods tomore » capture a fraction of the light otherwise diffracted into unwanted orders, and instead bring it into the desired first-order focus. In conclusion, the alignment tolerances for stacking multiple Fresnel zone plates are also considered.« less
In vivo biodistribution and behavior of CdTe/ZnS quantum dots.
Zhao, Yan; Zhang, Yue; Qin, Gaofeng; Cheng, Jinjun; Zeng, Wenhao; Liu, Shuchen; Kong, Hui; Wang, Xueqian; Wang, Qingguo; Qu, Huihua
2017-01-01
The unique features of quantum dots (QDs) make them desirable fluorescent tags for cell and developmental biology applications that require long-term, multitarget, and highly sensitive imaging. In this work, we imaged fluorescent cadmium telluride/zinc sulfide (CdTe/ZnS) QDs in organs, tissues, and cells, and analyzed the mechanism of their lymphatic uptake and cellular distribution. We observed that the fluorescent CdTe/ZnS QDs were internalized by lymph nodes in four cell lines from different tissue sources. We obtained the fluorescence intensity-QD concentrations curve by quantitative analysis. Our results demonstrate that cells containing QDs can complete mitosis normally and that distribution of QDs was uniform across cell types and involved the vesicular transport system, including the endoplasmic reticulum. This capacity for CdTe/ZnS QD targeting provides insights into the applicability and limitations of fluorescent QDs for imaging biological specimens.
Social cognitive theory: an agentic perspective.
Bandura, A
2001-01-01
The capacity to exercise control over the nature and quality of one's life is the essence of humanness. Human agency is characterized by a number of core features that operate through phenomenal and functional consciousness. These include the temporal extension of agency through intentionality and forethought, self-regulation by self-reactive influence, and self-reflectiveness about one's capabilities, quality of functioning, and the meaning and purpose of one's life pursuits. Personal agency operates within a broad network of sociostructural influences. In these agentic transactions, people are producers as well as products of social systems. Social cognitive theory distinguishes among three modes of agency: direct personal agency, proxy agency that relies on others to act on one's behest to secure desired outcomes, and collective agency exercised through socially coordinative and interdependent effort. Growing transnational embeddedness and interdependence are placing a premium on collective efficacy to exercise control over personal destinies and national life.
Caffeine dependence in teenagers.
Bernstein, Gail A; Carroll, Marilyn E; Thuras, Paul D; Cosgrove, Kelly P; Roth, Megan E
2002-03-01
This study identifies and characterizes symptoms of caffeine dependence in adolescents. Thirty-six adolescents who consumed caffeine daily and had some features of caffeine dependence on telephone screen were scheduled for outpatient evaluation. Evaluation included the Diagnostic Interview Schedule for Children-IV-Youth Version (DISC-IV) and modified DISC-IV questions that assessed caffeine dependence based on DSM-IV substance dependence criteria. Of 36 subjects, 41.7% (n=15) reported tolerance to caffeine, 77.8% (n=28) described withdrawal symptoms after cessation or reduction of caffeine intake, 38.9% (n=14) reported desire or unsuccessful attempts to control use, and 16.7% (n=6) endorsed use despite knowledge of physical or psychological problems associated with caffeine. There was no significant difference in the amount of caffeine consumed daily by caffeine dependent versus non-dependent teenagers. These findings are important due to the vast number of adolescents who drink caffeinated beverages.
Ion trap architectures and new directions
NASA Astrophysics Data System (ADS)
Siverns, James D.; Quraishi, Qudsia
2017-12-01
Trapped ion technology has seen advances in performance, robustness and versatility over the last decade. With increasing numbers of trapped ion groups worldwide, a myriad of trap architectures are currently in use. Applications of trapped ions include: quantum simulation, computing and networking, time standards and fundamental studies in quantum dynamics. Design of such traps is driven by these various research aims, but some universally desirable properties have lead to the development of ion trap foundries. Additionally, the excellent control achievable with trapped ions and the ability to do photonic readout has allowed progress on quantum networking using entanglement between remotely situated ion-based nodes. Here, we present a selection of trap architectures currently in use by the community and present their most salient characteristics, identifying features particularly suited for quantum networking. We also discuss our own in-house research efforts aimed at long-distance trapped ion networking.
Liquid Lens module with wide field-of-view and variable focal length
NASA Astrophysics Data System (ADS)
Seo, Sang Won; Han, Seungoh; Seo, Jun Ho; Choi, Woo Bum; Sung, Man Young
2010-12-01
A novel wide angle and variable-focus imaging module based on a miniaturized liquid lens is presented for capsule endoscopy applications. For these applications, it is desirable to have features such as a wide field of view (FOV), variable focus, small size, and low power consumption, thereby taking full advantage of the miniaturized liquid lens. The proposed imaging module has three aspheric plastic lenses for a wide FOV, and one liquid lens that can change the focal length by as much as 24.5 cm with a bias voltage difference of 23 Vrms for variable focusing. The assembled lens module has an overall length of 8.4 mm and a FOV of 120.5°. The realized imaging module including the proposed lenses is small enough to be inserted into a capsule endoscope, and it is expected to improve the diagnostic capability of capsule endoscopes.
Adaptive Local Spatiotemporal Features from RGB-D Data for One-Shot Learning Gesture Recognition
Lin, Jia; Ruan, Xiaogang; Yu, Naigong; Yang, Yee-Hong
2016-01-01
Noise and constant empirical motion constraints affect the extraction of distinctive spatiotemporal features from one or a few samples per gesture class. To tackle these problems, an adaptive local spatiotemporal feature (ALSTF) using fused RGB-D data is proposed. First, motion regions of interest (MRoIs) are adaptively extracted using grayscale and depth velocity variance information to greatly reduce the impact of noise. Then, corners are used as keypoints if their depth, and velocities of grayscale and of depth meet several adaptive local constraints in each MRoI. With further filtering of noise, an accurate and sufficient number of keypoints is obtained within the desired moving body parts (MBPs). Finally, four kinds of multiple descriptors are calculated and combined in extended gradient and motion spaces to represent the appearance and motion features of gestures. The experimental results on the ChaLearn gesture, CAD-60 and MSRDailyActivity3D datasets demonstrate that the proposed feature achieves higher performance compared with published state-of-the-art approaches under the one-shot learning setting and comparable accuracy under the leave-one-out cross validation. PMID:27999337
Adaptive Local Spatiotemporal Features from RGB-D Data for One-Shot Learning Gesture Recognition.
Lin, Jia; Ruan, Xiaogang; Yu, Naigong; Yang, Yee-Hong
2016-12-17
Noise and constant empirical motion constraints affect the extraction of distinctive spatiotemporal features from one or a few samples per gesture class. To tackle these problems, an adaptive local spatiotemporal feature (ALSTF) using fused RGB-D data is proposed. First, motion regions of interest (MRoIs) are adaptively extracted using grayscale and depth velocity variance information to greatly reduce the impact of noise. Then, corners are used as keypoints if their depth, and velocities of grayscale and of depth meet several adaptive local constraints in each MRoI. With further filtering of noise, an accurate and sufficient number of keypoints is obtained within the desired moving body parts (MBPs). Finally, four kinds of multiple descriptors are calculated and combined in extended gradient and motion spaces to represent the appearance and motion features of gestures. The experimental results on the ChaLearn gesture, CAD-60 and MSRDailyActivity3D datasets demonstrate that the proposed feature achieves higher performance compared with published state-of-the-art approaches under the one-shot learning setting and comparable accuracy under the leave-one-out cross validation.
Motivation to study dental professions in one London Dental Institute.
Belsi, A; Asimakopoulou, K; Donaldson, N; Gallagher, J
2014-02-01
While past research has explored dental students' motivation to study, there is limited understanding in the reasons behind career choice for hygienists/therapists and dental nurses. The aim of this study was to investigate simultaneously the views of students of dentistry, hygiene/therapy and dental nursing in King's College London and explore similarities or differences in career choice. All first-year students were invited to the questionnaire survey, exploring motivation to study using a 23-item instrument. Data were analysed using SPSS v18; statistical analysis included one-way analyses of variance and factor analysis. The overall response rate to the study was 75% (n = 209). Ten out of 23 factors were considered important by more than 80% of respondents, with 'job security' (93.8%), 'desire to work with people' (88%) and 'degree leading to recognised job' (87.5%) being top three. Analysis suggested that 52% of the total variation in motivating influences was explained by four factors: 'features of the job' (26%), 'education/skills' (11%), 'public service' (8%) and 'careers-advising' (7%); at group level 'features of the job' were significantly more important for the direct entrants to dentistry (P = 0.001). The findings suggest that across groups students were motivated to study by common influences reflecting altruistic, but also pragmatic and realistic motives, while 'features of the job' were more important for the direct entrants to dentistry. © 2013 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
Microbial Cellulose Utilization: Fundamentals and Biotechnology
Lynd, Lee R.; Weimer, Paul J.; van Zyl, Willem H.; Pretorius, Isak S.
2002-01-01
Fundamental features of microbial cellulose utilization are examined at successively higher levels of aggregation encompassing the structure and composition of cellulosic biomass, taxonomic diversity, cellulase enzyme systems, molecular biology of cellulase enzymes, physiology of cellulolytic microorganisms, ecological aspects of cellulase-degrading communities, and rate-limiting factors in nature. The methodological basis for studying microbial cellulose utilization is considered relative to quantification of cells and enzymes in the presence of solid substrates as well as apparatus and analysis for cellulose-grown continuous cultures. Quantitative description of cellulose hydrolysis is addressed with respect to adsorption of cellulase enzymes, rates of enzymatic hydrolysis, bioenergetics of microbial cellulose utilization, kinetics of microbial cellulose utilization, and contrasting features compared to soluble substrate kinetics. A biological perspective on processing cellulosic biomass is presented, including features of pretreated substrates and alternative process configurations. Organism development is considered for “consolidated bioprocessing” (CBP), in which the production of cellulolytic enzymes, hydrolysis of biomass, and fermentation of resulting sugars to desired products occur in one step. Two organism development strategies for CBP are examined: (i) improve product yield and tolerance in microorganisms able to utilize cellulose, or (ii) express a heterologous system for cellulose hydrolysis and utilization in microorganisms that exhibit high product yield and tolerance. A concluding discussion identifies unresolved issues pertaining to microbial cellulose utilization, suggests approaches by which such issues might be resolved, and contrasts a microbially oriented cellulose hydrolysis paradigm to the more conventional enzymatically oriented paradigm in both fundamental and applied contexts. PMID:12209002
Method and system for SCR optimization
Lefebvre, Wesley Curt [Boston, MA; Kohn, Daniel W [Cambridge, MA
2009-03-10
Methods and systems are provided for controlling SCR performance in a boiler. The boiler includes one or more generally cross sectional areas. Each cross sectional area can be characterized by one or more profiles of one or more conditions affecting SCR performance and be associated with one or more adjustable desired profiles of the one or more conditions during the operation of the boiler. The performance of the boiler can be characterized by boiler performance parameters. A system in accordance with one or more embodiments of the invention can include a controller input for receiving a performance goal for the boiler corresponding to at least one of the boiler performance parameters and for receiving data values corresponding to boiler control variables and to the boiler performance parameters. The boiler control variables include one or more current profiles of the one or more conditions. The system also includes a system model that relates one or more profiles of the one or more conditions in the boiler to the boiler performance parameters. The system also includes an indirect controller that determines one or more desired profiles of the one or more conditions to satisfy the performance goal for the boiler. The indirect controller uses the system model, the received data values and the received performance goal to determine the one or more desired profiles of the one or more conditions. The system model also includes a controller output that outputs the one or more desired profiles of the one or more conditions.
NASA Astrophysics Data System (ADS)
Takahashi, Kohei; Taki, Hirofumi; Kanai, Hiroshi
2017-07-01
In most current methods for evaluating the cardiac function by ultrasound, the heart wall area is identified manually by an examiner. To eliminate examiner dependence and to improve usability, an automatic heart wall identification method is desirable. Identification based on only echogenicity often fails because of low echogenicity of some areas of the heart wall. In the present study, to determine more essential features, we focused on the relative temporal change of ultrasonic scatterer distribution and proposed three features for identification of the heart wall and the chamber: cross-correlation of RF signals, that of envelopes, and spatial dispersion of movement vectors in small regions. In an in vivo experiment, using echogenicity and the three features, we identified the heart wall and the chamber in the left ventricular long-axis view, resulting in criteria of separability J of 1.69, 1.40, and 3.02 using these features compared with the result of 0.979 using echogenicity.
Flight control system design factors for applying automated testing techniques
NASA Technical Reports Server (NTRS)
Sitz, Joel R.; Vernon, Todd H.
1990-01-01
The principal design features and operational experiences of the X-29 forward-swept-wing aircraft and F-18 high alpha research vehicle (HARV) automated test systems are discussed. It is noted that operational experiences in developing and using these automated testing techniques have highlighted the need for incorporating target system features to improve testability. Improved target system testability can be accomplished with the addition of nonreal-time and real-time features. Online access to target system implementation details, unobtrusive real-time access to internal user-selectable variables, and proper software instrumentation are all desirable features of the target system. Also, test system and target system design issues must be addressed during the early stages of the target system development. Processing speeds of up to 20 million instructions/s and the development of high-bandwidth reflective memory systems have improved the ability to integrate the target system and test system for the application of automated testing techniques. It is concluded that new methods of designing testability into the target systems are required.
Dai, Qiong; Cheng, Jun-Hu; Sun, Da-Wen; Zeng, Xin-An
2015-01-01
There is an increased interest in the applications of hyperspectral imaging (HSI) for assessing food quality, safety, and authenticity. HSI provides abundance of spatial and spectral information from foods by combining both spectroscopy and imaging, resulting in hundreds of contiguous wavebands for each spatial position of food samples, also known as the curse of dimensionality. It is desirable to employ feature selection algorithms for decreasing computation burden and increasing predicting accuracy, which are especially relevant in the development of online applications. Recently, a variety of feature selection algorithms have been proposed that can be categorized into three groups based on the searching strategy namely complete search, heuristic search and random search. This review mainly introduced the fundamental of each algorithm, illustrated its applications in hyperspectral data analysis in the food field, and discussed the advantages and disadvantages of these algorithms. It is hoped that this review should provide a guideline for feature selections and data processing in the future development of hyperspectral imaging technique in foods.
Santos-Iglesias, Pablo; Sierra, Juan Carlos; Vallejo-Medina, Pablo
2013-08-01
This study was conducted to test interpersonal, attitudinal, and sexual predictors of sexual assertiveness in a Spanish sample of 1,619 men and 1,755 women aged 18-87 years. Participants completed measures of sexual assertiveness, solitary and dyadic sexual desire, sexual arousal, erectile function, sexual attitudes, and frequency of partner abuse. In men, higher sexual assertiveness was predicted by less non-physical abuse, more positive attitudes toward sexual fantasies and erotophilia, higher dyadic desire, and higher sexual arousal. In women, higher sexual assertiveness was predicted by less non-physical abuse, less solitary sexual desire and higher dyadic sexual desire, arousal, erotophilia, and positive attitudes towards sexual fantasies. Results were discussed in the light of prevention and educational programs that include training in sexual assertiveness skills.
Genome-Scale Analysis of Translation Elongation with a Ribosome Flow Model
Meilijson, Isaac; Kupiec, Martin; Ruppin, Eytan
2011-01-01
We describe the first large scale analysis of gene translation that is based on a model that takes into account the physical and dynamical nature of this process. The Ribosomal Flow Model (RFM) predicts fundamental features of the translation process, including translation rates, protein abundance levels, ribosomal densities and the relation between all these variables, better than alternative (‘non-physical’) approaches. In addition, we show that the RFM can be used for accurate inference of various other quantities including genes' initiation rates and translation costs. These quantities could not be inferred by previous predictors. We find that increasing the number of available ribosomes (or equivalently the initiation rate) increases the genomic translation rate and the mean ribosome density only up to a certain point, beyond which both saturate. Strikingly, assuming that the translation system is tuned to work at the pre-saturation point maximizes the predictive power of the model with respect to experimental data. This result suggests that in all organisms that were analyzed (from bacteria to Human), the global initiation rate is optimized to attain the pre-saturation point. The fact that similar results were not observed for heterologous genes indicates that this feature is under selection. Remarkably, the gap between the performance of the RFM and alternative predictors is strikingly large in the case of heterologous genes, testifying to the model's promising biotechnological value in predicting the abundance of heterologous proteins before expressing them in the desired host. PMID:21909250
Three-axis force actuator for a magnetic bearing
NASA Technical Reports Server (NTRS)
Gondhalekar, Vijay (Inventor)
1998-01-01
This invention features a three-axis force actuator that axially, radially and rotatably supports a bearing member for frictionless rotation about an axis of rotation generally coincident with a Z-axis. Also featured is a magnetic bearing having such an actuator. The actuator includes an inner member, a magnetic member and a pole assembly having a ring member and four pole extending therefrom. The poles are equi-angular spaced from each other and radially spaced about the Z-axis. The inner member extends along the Z-axis and is a highly magnetic permeable material. The magnetic member is formed about the inner member outer surface, extends along the Z-axis and is configured so one magnetic pole polarity is located at its outer surface and the other polarity pole is located at its inner surface. Preferably, the magnetic member is a radially magnetized permanent magnet. The inner surface of the ring member is magnetically coupled to the magnetic member and a face of each pole is coupled to the bearing member. The magnetic member, the pole assembly, the inner member and the bearing member cooperate to generate a magnetic field that radially and rotatably supports a rotating member secured to the bearing member. The actuator further includes a plurality of electromagnetic coils. Preferably, a coil is formed about each pole and at least 2 coils are formed about the inner member. When energized, the electromagnetic coils generate a modulated magnetic field that stabilizes the rotating member in the desired operational position.
Paedophilia, Sexual Desire, and Perversity.
ERIC Educational Resources Information Center
Spiecker, Ben; Steutel, Jan
1997-01-01
Criticizes justifications given by pedophiles for having sex with children, including an analysis of "sexual desire" and "erotic." Raises the question of whether pedophile activities can ever be morally permissible. Uses principles of mutual consent and non-exploitation to answer negatively. Examines whether pedophile desires…
Effects of Epidermal Growth Factor-Loaded Mucoadhesive Films on Wounded Oral Tissue Rafts
Ramineni, Sandeep K.; Fowler, Craig B.; Fisher, Paul D.; Cunningham, Larry L.; Puleo, David A.
2015-01-01
Current treatments for traumatic oral mucosal wounds include the gold standard of autologous tissue and alternative tissue engineered grafts. While use of autografts has disadvantages of minimal availability of oral keratinized tissue, second surgery, and donor site discomfort, tissue engineered grafts are limited by their unavailability as off-the-shelf products owing to their fabrication time of 4–8 weeks. Hence, the current work aimed to develop a potentially cost-effective, readily available device capable of enhancing native mucosal regeneration. Considering the key role of epidermal growth factor (EGF) in promoting mucosal wound regeneration and the advantages of mucoadhesive delivery systems, mucoadhesive films composed of polyvinylpyrrolidone and carboxymethylcellulose were developed to provide sustained release of EGF for minimum of 6 hours. Bioactivity of released EGF supernatants was then confirmed by its ability to promote proliferation of BALB/3T3 fibroblasts. Efficacy of the developed system was then investigated in vitro using buccal tissues (ORL 300-FT) as a potential replacement for small animal studies. Although the mucoadhesive films achieved their desired role of delivering bioactive EGF in a sustained manner, treatment with EGF, irrespective of its release from the films or solubilized in medium, caused a hyperparakeratotic response from in vitro tissues with distinguishable histological features including thickening of the spinous layer, intra- and intercellular edema, and pyknotic nuclei. These significant morphological changes were associated with no improvements in wound closure. These observations raise questions about the potential of using in vitro tissues as a wound healing model and substitute for small animal studies. The mucoadhesive delivery system developed, however, with its potential for sustained release of bioactive growth factors and small molecules, may be loaded with other desired compounds, with or without EGF, to accelerate the process of wound healing. PMID:25729882
Hybrid feedback feedforward: An efficient design of adaptive neural network control.
Pan, Yongping; Liu, Yiqi; Xu, Bin; Yu, Haoyong
2016-04-01
This paper presents an efficient hybrid feedback feedforward (HFF) adaptive approximation-based control (AAC) strategy for a class of uncertain Euler-Lagrange systems. The control structure includes a proportional-derivative (PD) control term in the feedback loop and a radial-basis-function (RBF) neural network (NN) in the feedforward loop, which mimics the human motor learning control mechanism. At the presence of discontinuous friction, a sigmoid-jump-function NN is incorporated to improve control performance. The major difference of the proposed HFF-AAC design from the traditional feedback AAC (FB-AAC) design is that only desired outputs, rather than both tracking errors and desired outputs, are applied as RBF-NN inputs. Yet, such a slight modification leads to several attractive properties of HFF-AAC, including the convenient choice of an approximation domain, the decrease of the number of RBF-NN inputs, and semiglobal practical asymptotic stability dominated by control gains. Compared with previous HFF-AAC approaches, the proposed approach possesses the following two distinctive features: (i) all above attractive properties are achieved by a much simpler control scheme; (ii) the bounds of plant uncertainties are not required to be known. Consequently, the proposed approach guarantees a minimum configuration of the control structure and a minimum requirement of plant knowledge for the AAC design, which leads to a sharp decrease of implementation cost in terms of hardware selection, algorithm realization and system debugging. Simulation results have demonstrated that the proposed HFF-AAC can perform as good as or even better than the traditional FB-AAC under much simpler control synthesis and much lower computational cost. Copyright © 2015 Elsevier Ltd. All rights reserved.
Identification of informative features for predicting proinflammatory potentials of engine exhausts.
Wang, Chia-Chi; Lin, Ying-Chi; Lin, Yuan-Chung; Jhang, Syu-Ruei; Tung, Chun-Wei
2017-08-18
The immunotoxicity of engine exhausts is of high concern to human health due to the increasing prevalence of immune-related diseases. However, the evaluation of immunotoxicity of engine exhausts is currently based on expensive and time-consuming experiments. It is desirable to develop efficient methods for immunotoxicity assessment. To accelerate the development of safe alternative fuels, this study proposed a computational method for identifying informative features for predicting proinflammatory potentials of engine exhausts. A principal component regression (PCR) algorithm was applied to develop prediction models. The informative features were identified by a sequential backward feature elimination (SBFE) algorithm. A total of 19 informative chemical and biological features were successfully identified by SBFE algorithm. The informative features were utilized to develop a computational method named FS-CBM for predicting proinflammatory potentials of engine exhausts. FS-CBM model achieved a high performance with correlation coefficient values of 0.997 and 0.943 obtained from training and independent test sets, respectively. The FS-CBM model was developed for predicting proinflammatory potentials of engine exhausts with a large improvement on prediction performance compared with our previous CBM model. The proposed method could be further applied to construct models for bioactivities of mixtures.
Target recognition of ladar range images using slice image: comparison of four improved algorithms
NASA Astrophysics Data System (ADS)
Xia, Wenze; Han, Shaokun; Cao, Jingya; Wang, Liang; Zhai, Yu; Cheng, Yang
2017-07-01
Compared with traditional 3-D shape data, ladar range images possess properties of strong noise, shape degeneracy, and sparsity, which make feature extraction and representation difficult. The slice image is an effective feature descriptor to resolve this problem. We propose four improved algorithms on target recognition of ladar range images using slice image. In order to improve resolution invariance of the slice image, mean value detection instead of maximum value detection is applied in these four improved algorithms. In order to improve rotation invariance of the slice image, three new improved feature descriptors-which are feature slice image, slice-Zernike moments, and slice-Fourier moments-are applied to the last three improved algorithms, respectively. Backpropagation neural networks are used as feature classifiers in the last two improved algorithms. The performance of these four improved recognition systems is analyzed comprehensively in the aspects of the three invariances, recognition rate, and execution time. The final experiment results show that the improvements for these four algorithms reach the desired effect, the three invariances of feature descriptors are not directly related to the final recognition performance of recognition systems, and these four improved recognition systems have different performances under different conditions.
Trakoolwilaiwan, Thanawin; Behboodi, Bahareh; Lee, Jaeseok; Kim, Kyungsoo; Choi, Ji-Woong
2018-01-01
The aim of this work is to develop an effective brain-computer interface (BCI) method based on functional near-infrared spectroscopy (fNIRS). In order to improve the performance of the BCI system in terms of accuracy, the ability to discriminate features from input signals and proper classification are desired. Previous studies have mainly extracted features from the signal manually, but proper features need to be selected carefully. To avoid performance degradation caused by manual feature selection, we applied convolutional neural networks (CNNs) as the automatic feature extractor and classifier for fNIRS-based BCI. In this study, the hemodynamic responses evoked by performing rest, right-, and left-hand motor execution tasks were measured on eight healthy subjects to compare performances. Our CNN-based method provided improvements in classification accuracy over conventional methods employing the most commonly used features of mean, peak, slope, variance, kurtosis, and skewness, classified by support vector machine (SVM) and artificial neural network (ANN). Specifically, up to 6.49% and 3.33% improvement in classification accuracy was achieved by CNN compared with SVM and ANN, respectively.
Mouse epileptic seizure detection with multiple EEG features and simple thresholding technique
NASA Astrophysics Data System (ADS)
Tieng, Quang M.; Anbazhagan, Ashwin; Chen, Min; Reutens, David C.
2017-12-01
Objective. Epilepsy is a common neurological disorder characterized by recurrent, unprovoked seizures. The search for new treatments for seizures and epilepsy relies upon studies in animal models of epilepsy. To capture data on seizures, many applications require prolonged electroencephalography (EEG) with recordings that generate voluminous data. The desire for efficient evaluation of these recordings motivates the development of automated seizure detection algorithms. Approach. A new seizure detection method is proposed, based on multiple features and a simple thresholding technique. The features are derived from chaos theory, information theory and the power spectrum of EEG recordings and optimally exploit both linear and nonlinear characteristics of EEG data. Main result. The proposed method was tested with real EEG data from an experimental mouse model of epilepsy and distinguished seizures from other patterns with high sensitivity and specificity. Significance. The proposed approach introduces two new features: negative logarithm of adaptive correlation integral and power spectral coherence ratio. The combination of these new features with two previously described features, entropy and phase coherence, improved seizure detection accuracy significantly. Negative logarithm of adaptive correlation integral can also be used to compute the duration of automatically detected seizures.
Lind, Tekla; Lampic, Claudia; Hammarström, Margareta; Rodriguez-Wallberg, Kenny
2013-11-01
To investigate young women's reproductive desire and perceptions of fertility-related information when scheduled for ovarian cyst surgery with a possible impact on fertility. Cross-sectional study. University Hospital. Women of reproductive age (n = 106, mean age 32.3 years, range 18-44 years) with a diagnosis of ovarian cyst and scheduled ovarian cyst surgery between March 2011 and September 2012 were included. The women answered a questionnaire after the presurgery consultation with the gynecologist. The questionnaire included study-specific measures of reproductive desire, perception of fertility-related information received, worry about future fertility and sociodemographic characteristics. Reproductive desire and recalled information on the impact of surgery on fertility. A high proportion of the women (72%) reported a desire for having children in the future and more than half of them (58%) recalled receiving information about the impact of surgery on fertility. In a multivariable logistic regression model adjusted for parity, education and age, a desire to have children increased the likelihood of recalling having received fertility-related information (odds ratio 3.2, 95% CI 1.1-9.2). Almost half of women with reproductive desire had ovarian surgery without recalling a discussion of fertility issues. Development of written information or interactive information might improve women's perception of fertility-related information. © 2013 Nordic Federation of Societies of Obstetrics and Gynecology.
Mase, Tomoki; Ohara, Kumiko; Miyawaki, Chiemi; Kouda, Katsuyasu; Nakamura, Harunobu
2015-01-01
The present study investigated the influence of peers' and family members' body shapes on the perception of body image and desire for thinness in Japanese female students. The study included 342 female, Japanese university students between the ages of 18 years and 22 years. They completed an anonymous questionnaire, which included questions related to anthropometry and body perception. Eating behavior was assessed by the Japanese version of the Eating Attitude Test-26. Many students overestimated their body shape (81.2% of underweight students and 74.6% of normal students) and had a desire for thinness (41.0% of underweight students, 88.2% of normal students, and 100% of overweight students). One of the main reasons for the overestimation of their body shape was comparison with others. Participants who were interested in a friend's body shape were almost three times more likely to have a desire for thinness than those who were not interested in a female friend's body shape (odds ratio: 3.06, P=0.014). The results indicate a possibility that a female Japanese student's young female friends' body shapes, influences her desire for thinness or her perception of her own body shape.
Santambrogio, Roberto; Cigala, Claudia; Barabino, Matteo; Maggioni, Marco; Scifo, Giovanna; Bruno, Savino; Bertolini, Emanuela; Opocher, Enrico; Bulfamante, Gaetano
2018-02-01
Preoperative prediction of both microinvasive hepatocellular carcinoma and histological grade of hepatocellular carcinoma is pivotal to treatment planning and prognostication. The aim of this study was to evaluate whether some intraoperative ultrasound features correlate with both the presence of same histological patterns and differentiation grade of hepatocellular carcinoma on the histological features of the primary resected tumour. All patients with single, small hepatocellular carcinoma that underwent hepatic resection were included in this prospective double-blind study: the intraoperative ultrasound patterns of nodule were registered and compared with similar histological features. A total of 179 patients were enclosed in this study: 97 (54%) patients (34% in HCC ≤2 cm) had a microinvasive hepatocellular carcinoma at ultrasound examination, while 82 (46%) patients (41% in HCC ≤2 cm) at histological evaluation. Statistical analysis showed that diameters ≤2 cm, presence of satellites and microinvasive hepatocellular carcinoma at ultrasound examination were the variables with the strongest association with the histological findings. In the multivariate analysis, the vascular microinfiltration and infiltrative hepatocellular carcinoma aspect were independent predictors for grading. In patients with cirrhosis and hepatocellular carcinoma, the prevalence of microinvasive hepatocellular carcinoma is high, even in cases of HCC ≤2 cm. Intraoperative ultrasound findings strongly correlated with histopathological criteria in detecting microinvasive patterns and are useful to predict neoplastic differentiation. The knowledge of these features prior to treatment are highly desired (this can be obtained by an intraoperative ultrasound examination), as they could help in providing optimal management of patients with hepatocellular carcinoma. © 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
Mullins, Ryan R; Bachrach, Daniel G; Rapp, Adam A; Grewal, Dhruv; Beitelspacher, Lauren Skinner
2015-07-01
In this research we develop a framework to examine the drivers of customers' desire for control over the sales relationship, and consequences of fit between perceived and desired control. Data collected in a lagged field study of 144 retailer manager (customer)-salesperson dyads were modeled using hierarchical linear modeling and response surface modeling techniques. Results from our analysis reveal that salesperson expertise drives retailers' desire for control in these relationships. In addition, while incongruence in perceived-desired control was negatively associated with both satisfaction and objective sales, retailer satisfaction was higher when both desired and perceived control were high. Further, as desired and perceived control over the sales relationship both increase, product sales initially decrease, and then increase, exhibiting a "U-shaped" effect. Implications for both theory and practice are discussed. These include adaptive sales training to identify misalignment between desired and perceived control, optimization of cocreation strategies, incorporation of interorganizational relational constructs, exploration of triadic social network configurations, examination of unmet expectations, and the implications of assimilation-contrast theory. (c) 2015 APA, all rights reserved).
Cues Resulting in Desire for Sexual Activity in Women
McCall, Katie; Meston, Cindy
2010-01-01
Introduction A number of questionnaires have been created to assess levels of sexual desire in women, but to our knowledge, there are currently no validated measures for assessing cues that result in sexual desire. A questionnaire of this nature could be useful for both clinicians and researchers, because it considers the contextual nature of sexual desire and it draws attention to individual differences in factors that can contribute to sexual desire. Aim The aim of the present study was to create a multidimensional assessment tool of cues for sexual desire in women that is validated in women with and without hypoactive sexual desire disorder (HSDD). Methods Factor analyses conducted on both an initial sample (N = 874) and a community sample (N = 138) resulted in the Cues for Sexual Desire Scale (CSDS) which included four factors: (i) Emotional Bonding Cues; (ii) Erotic/ Explicit Cues; (iii) Visual/Proximity Cues; and (iv) Implicit/Romantic Cues. Main Outcome Measures Scale construction of cues associated with sexual desire and differences between women with and without sexual dysfunction. Results The CSDS demonstrated good reliability and validity and was able to detect significant differences between women with and without HSDD. Results from regression analyses indicated that both marital status and level of sexual functioning predicted scores on the CSDS. The CSDS provided predictive validity for the Female Sexual Function Index desire and arousal domain scores, and increased cues were related to a higher reported frequency of sexual activity in women. Conclusions The findings from the present study provide valuable information regarding both internal and external triggers that can result in sexual desire for women. We believe that the CSDS could be beneficial in therapeutic settings to help identify cues that do and do not facilitate sexual desire in women with clinically diagnosed desire difficulties. PMID:16942529
Lessons about Virtual-Environment Software Systems from 20 years of VE building
Taylor, Russell M.; Jerald, Jason; VanderKnyff, Chris; Wendt, Jeremy; Borland, David; Marshburn, David; Sherman, William R.; Whitton, Mary C.
2010-01-01
What are desirable and undesirable features of virtual-environment (VE) software architectures? What should be present (and absent) from such systems if they are to be optimally useful? How should they be structured? To help answer these questions we present experience from application designers, toolkit designers, and VE system architects along with examples of useful features from existing systems. Topics are organized under the major headings of: 3D space management, supporting display hardware, interaction, event management, time management, computation, portability, and the observation that less can be better. Lessons learned are presented as discussion of the issues, field experiences, nuggets of knowledge, and case studies. PMID:20567602
Methods for automatically analyzing humpback song units.
Rickwood, Peter; Taylor, Andrew
2008-03-01
This paper presents mathematical techniques for automatically extracting and analyzing bioacoustic signals. Automatic techniques are described for isolation of target signals from background noise, extraction of features from target signals and unsupervised classification (clustering) of the target signals based on these features. The only user-provided inputs, other than raw sound, is an initial set of signal processing and control parameters. Of particular note is that the number of signal categories is determined automatically. The techniques, applied to hydrophone recordings of humpback whales (Megaptera novaeangliae), produce promising initial results, suggesting that they may be of use in automated analysis of not only humpbacks, but possibly also in other bioacoustic settings where automated analysis is desirable.
NASA Astrophysics Data System (ADS)
Campagnolo, Filippo; Bottasso, Carlo L.; Bettini, Paolo
2014-06-01
In the research described in this paper, a scaled wind turbine model featuring individual pitch control (IPC) capabilities, and equipped with aero-elastically scaled blades featuring passive load reduction capabilities (bend-twist coupling, BTC), was constructed to investigate, by means of wind tunnel testing, the load alleviation potential of BTC and its synergy with active load reduction techniques. The paper mainly focus on the design of the aero-elastic blades and their dynamic and static structural characterization. The experimental results highlight that manufactured blades show desired bend-twist coupling behavior and are a first milestone toward their testing in the wind tunnel.
NASA Astrophysics Data System (ADS)
Gifford, Brendan Joel
Single-walled carbon nanotubes (SWCNTs) are unique materials that exhibit chirality-specific properties due to their one-dimensional confinement. As a result, they are explored for a wide range of applications including single-photon sources in communications devices. Despite progress in this area, SWCNTs still suffer from a relatively narrow range of energies of emission features that fall short of the 1500 nm desired for long-distance lossless data transfer. One approach that is frequently used to resolve this involves chemical functionalization with aryl groups. However, this approach is met with a number of fundamental issues. First, chirality-specific SWCNTs must be acquired for subsequent functionalization. Synthesis of such samples has thus far eluded experimental efforts. As such, post-synthetic non-covalent functionalization is required to break bundles and create disperse SWCNTs that can undergo further separation, processing, and functionalization. Second, a number of low-energy emission features are introduced upon functionalization across a 200 nm range. The origin of such diverse emission features remains unknown. The research presented here focuses on computationally addressing these issues. A series of polyfluorene polymers possessing sidechains of varying length are explored using molecular mechanics to determine the impact of alkyl sidechains on SWCNT-conjugated polymer interaction strength and morphology. Additionally, density functional theory (DFT) and linear-response time-dependent DFT (TDDFT) are used to explore the effect of functionalization on emission features. A prerequisite to these calculations involves constructing finite-length SWCNT systems with similar electronic structure to their infinite counterparts: a methodological approach for the formation of such systems is presented. The optical features for aryl-functionalized SWCNTs are then explored. It is shown that the predominant effect on the energies of emission features involves the configuration of functionalization, with the identity of the functional group only playing a minor role. While the qualitative effect of such functionalization is determined, a quantitative comparison to experiment requires correction for several sources of computational error. A model to correct for such effects is also developed. This research not only explains the origin of the multiple emission features in functionalized SWCNTs for the first time but also lays the groundwork for their further computational exploration.
Breaking-Cas—interactive design of guide RNAs for CRISPR-Cas experiments for ENSEMBL genomes
Oliveros, Juan C.; Franch, Mònica; Tabas-Madrid, Daniel; San-León, David; Montoliu, Lluis; Cubas, Pilar; Pazos, Florencio
2016-01-01
The CRISPR/Cas technology is enabling targeted genome editing in multiple organisms with unprecedented accuracy and specificity by using RNA-guided nucleases. A critical point when planning a CRISPR/Cas experiment is the design of the guide RNA (gRNA), which directs the nuclease and associated machinery to the desired genomic location. This gRNA has to fulfil the requirements of the nuclease and lack homology with other genome sites that could lead to off-target effects. Here we introduce the Breaking-Cas system for the design of gRNAs for CRISPR/Cas experiments, including those based in the Cas9 nuclease as well as others recently introduced. The server has unique features not available in other tools, including the possibility of using all eukaryotic genomes available in ENSEMBL (currently around 700), placing variable PAM sequences at 5′ or 3′ and setting the guide RNA length and the scores per nucleotides. It can be freely accessed at: http://bioinfogp.cnb.csic.es/tools/breakingcas, and the code is available upon request. PMID:27166368
Iron Oxide and Gold Based Magneto-Plasmonic Nanostructures for Medical Applications: A Review
Mammeri, Fayna; Ammar, Souad
2018-01-01
Iron oxide and gold-based magneto-plasmonic nanostructures exhibit remarkable optical and superparamagnetic properties originating from their two different components. As a consequence, they have improved and broadened the application potential of nanomaterials in medicine. They can be used as multifunctional nanoprobes for magneto-plasmonic heating as well as for magnetic and optical imaging. They can also be used for magnetically assisted optical biosensing, to detect extreme traces of targeted bioanalytes. This review introduces the previous work on magneto-plasmonic hetero-nanostructures including: (i) their synthesis from simple “one-step” to complex “multi-step” routes, including seed-mediated and non-seed-mediated methods; and (ii) the characterization of their multifunctional features, with a special emphasis on the relationships between their synthesis conditions, their structures and their properties. It also focuses on the most important progress made with regard to their use in nanomedicine, keeping in mind the same aim, the correlation between their morphology—namely spherical and non-spherical, core-satellite and core-shell, and the desired applications. PMID:29518969
NASA Technical Reports Server (NTRS)
Maglieri, Domenic J.; Sothcott, Victor E.; Keefer, Thomas N., Jr.; Bobbitt, Percy J.
1992-01-01
Before beginning this presentation, it is appropriate to acknowledge the sincere interest and financial support provided by the NASA LaRC under contract NAS9-17900. An outline of the material to be used in the present paper is given. It begins with a indication of the origin and objectives of the feasibility study. This is followed by a discussion of various simulation methods of establishing the persistence of shaped sonic boom signatures to large distances including the use of recoverable RPV/drones. The desirable features to be sought out in an RPV along with a rationale for the selection of a 'shaped' sonic boom signature will be addressed. Three candidate vehicles are examined as to their suitability with respect to a number of factors, in particular, modifiability. Area distributions and associated sonic boom signatures of the basic and modified Firebee vehicle will also be shown. An indication of the scope of the proposed wind tunnel and flight test programs will be presented including measurement technologies and predicted waveforms. Finally, some remarks will be made summarizing the study and highlighting the key findings.
Application of complex macromolecular architectures for advanced microelectronic materials.
Hedrick, James L; Magbitang, Teddie; Connor, Eric F; Glauser, Thierry; Volksen, Willi; Hawker, Craig J; Lee, Victor Y; Miller, Robert D
2002-08-02
The distinctive features of well-defined, three-dimensional macromolecules with topologies designed to enhance solubility and amplify end-group functionality facilitated nanophase morphologies in mixtures with organosilicates and ultimately nanoporous organosilicate networks. Novel macromolecular architectures including dendritic and star-shaped polymers and organic nanoparticles were prepared by a modular approach from several libraries of building blocks including various generations of dendritic initiators and dendrons, selectively placed to amplify functionality and/or arm number, coupled with living polymerization techniques. Mixtures of an organosilicate and the macromolecular template were deposited, cured, and the phase separation of the organic component, organized the vitrifying organosilicate into nanostructures. Removal of the sacrificial macromolecular template, also denoted as porogen, by thermolysis, yielded the desired nanoporous organosilicate, and the size scale of phase separation was strongly dependent on the chain topology. These materials were designed for use as interlayer, ultra-low dielectric insulators for on-chip applications with dielectric constant values as low as 1.5. The porogen design, chemistry and role of polymer architecture on hybrid and pore morphology will be emphasized.
Semiconducting compounds and devices incorporating same
Marks, Tobin J; Facchetti, Antonio; Boudreault, Pierre-Luc; Miyauchi, Hiroyuki
2014-06-17
Disclosed are molecular and polymeric compounds having desirable properties as semiconducting materials. Such compounds can exhibit desirable electronic properties and possess processing advantages including solution-processability and/or good stability. Organic transistor and photovoltaic devices incorporating the present compounds as the active layer exhibit good device performance.
Semiconducting compounds and devices incorporating same
Marks, Tobin J.; Facchetti, Antonio; Boudreault, Pierre-Luc; Miyauchi, Hiroyuki
2016-01-19
Disclosed are molecular and polymeric compounds having desirable properties as semiconducting materials. Such compounds can exhibit desirable electronic properties and possess processing advantages including solution-processability and/or good stability. Organic transistor and photovoltaic devices incorporating the present compounds as the active layer exhibit good device performance.
A performance goal-based seismic design philosophy for waste repository facilities
DOE Office of Scientific and Technical Information (OSTI.GOV)
Hossain, Q.A.
1994-12-31
A performance goal-based seismic design philosophy, compatible with DOE`s present natural phenomena hazards mitigation and {open_quotes}graded approach{close_quotes} philosophy, has been proposed for high level nuclear waste repository facilities. The rationale, evolution, and the desirable features of this method have been described. Why and how the method should and can be applied to the design of a repository facility are also discussed.
2012-09-30
recognition. Algorithm design and statistical analysis and feature analysis. Post -Doctoral Associate, Cornell University, Bioacoustics Research...short. The HPC-ADA was designed based on fielded systems [1-4, 6] that offer a variety of desirable attributes, specifically dynamic resource...The software package was designed to utilize parallel and distributed processing for running recognition and other advanced algorithms. DeLMA
Engine Evaluation of Advanced Technology Control Components
1976-08-01
producer turbine rotor blades. This is a very desirable control feature, because protecting turbine blades from overtemperature is particularly...centrifugal boost stage operating back to back on a common drive shaft that is direct driven through the alter- nator rotor shaft. The main stage is an...computation makes this simple dynamic pumping machine possible. The pen- alty of this simple design is lower overall efficiency as com- pared to a
Issues of Food Chain Security and Case Studies in the Czech Army
NASA Astrophysics Data System (ADS)
Komar, Ales; Vasicka, Pavlina
Food supply system is fundamental extremely open complex. Global challenge is acknowledged and must be considered because food is important source of existence and can be used as a desirable terrorist vehicle. Raw material and food featured intentional versus accidental contamination. Manifestation of global challenges, aspiration for sustainable development and appearance of terrorism create the new paradigm for threats to food safety and defence management.
Cloud-Induced Uncertainty for Visual Navigation
2014-12-26
images at the pixel level. The result is a method that can overlay clouds with various structures on top of any desired image to produce realistic...cloud-shaped structures . The primary contribution of this research, however, is to investigate and quantify the errors in features due to clouds. The...of clouds types, this method does not emulate the true structure of clouds. An alternative popular modern method of creating synthetic clouds is known
High Yield Strength Cast Steel With Improved Weldability
1991-05-01
Transformation ( CCT ) diagram presented in Figure 25. It is clear that these low carbon steels generally will produce martensite and~or bainite over a very wide...microstructure. The CCT diagram developed from the Gleeble evaluations appears to indicate a martensite start (MJ temperature of approximately 800° F...Regardless of the exact identity of the transformation products, the CCT diagram contains the features desired for the experimental alloy system
ERIC Educational Resources Information Center
Papadodima, Stavroula A.; Sergentanis, Theodoros N.; Iliakis, Roussos G.; Sotiropoulos, Konstantinos C.; Spiliopoulou, Chara A.
2008-01-01
Purpose: To investigate the particular features of students who express the desire to follow a forensic career. Methods and materials: Three hundred and four 6th-year students attending the compulsory practice in forensic medicine in the academic year 2005-2006 were asked to fill in a self-administered questionnaire at the end of the course.…
NASA Astrophysics Data System (ADS)
Yusvana, Rama; Headon, Denis; Markx, Gerard H.
2009-08-01
The use of dielectrophoresis for the construction of artificial skin tissue with skin cells in follicle-like 3D cell aggregates in well-defined patterns is demonstrated. To analyse the patterns produced and to study their development after their formation a Virtual Instrument (VI) system was developed using the LabVIEW IMAQ Vision Development Module. A series of programming functions (algorithms) was used to isolate the features on the image (in our case; the patterned aggregates) and separate them from all other unwanted regions on the image. The image was subsequently converted into a binary version, covering only the desired microarray regions which could then be analysed by computer for automatic object measurements. The analysis utilized the simple and easy-to-use User-Specified Multi-Regions Masking (MRM) technique, which allows one to concentrate the analysis on the desired regions specified in the mask. This simplified the algorithms for the analysis of images of cell arrays having similar geometrical properties. By having a collection of scripts containing masks of different patterns, it was possible to quickly and efficiently develop sets of custom virtual instruments for the offline or online analysis of images of cell arrays in the database.
Aäritalo, Virpi; Areva, Sami; Jokinen, Mika; Lindén, Mika; Peltola, Timo
2007-09-01
A series of sol-gel derived TiO(2)-SiO(2) mixed oxide coatings were prepared by carefully controlling the process parameters to obtain silica-releasing coatings consisting of nanoparticles. These features are of paramount importance for enhanced cell adhesion and activation. To achieve both these goals the Ti-alkoxide and Si-alkoxide were first separately hydrolysed and the titania-silica mixed sol was further reacted before the dipping process to obtain the desired particle sizes resulting to the biologically favourable topographical features. Silica release was observed from all the prepared coatings and it was dependent on SiO(2) amount added to the sols, i.e., the higher the added amount the higher the release. In addition, calcium phosphate was able to nucleate on the coatings. From the obtained SiO(2) dissolution data, together with the detailed XPS peak analysis, the mixed oxide coatings are concluded to be chemically heterogeneous, consisting of TiO(2) and SiO(2) species most likely linked together by Ti-O-Si bonds. TiO(2) is chemically stable making long-term implant coating possible and the desired nanoscale dimensions were well preserved although the composition was changed as a consequence of SiO(2) dissolution under in vitro conditions.
Cole-Hunter, Tom; Morawska, Lidia; Solomon, Colin
2015-04-01
An increase in bicycle commuting participation may improve public health and traffic congestion in cities. Information on air pollution exposure (such as perception, symptoms, and risk management) contributes to the responsible promotion of bicycle commuting participation. To determine perceptions, symptoms, and willingness for specific exposure risk management strategies of exposure to air pollution, a questionnaire-based cross-sectional investigation was conducted with adult bicycle commuters (n = 153; age = 41 ± 11 years; 28% female). Frequency of acute respiratory signs and symptoms were positively associated with in-commute and postcommute compared with precommute time periods (P < .05); there was greater positive association with respiratory disorder compared with healthy, and female compared with male, participants. The perception (but not signs or symptoms) of in-commute exposure to air pollution was positively associated with the estimated level of in-commute proximity to motorized traffic. The majority of participants indicated a willingness (which varied with health status and gender) to adopt risk management strategies (with desired features) if shown to be appropriate and effective. While acute signs and symptoms of air pollution exposure are indicated with bicycle commuting, and more so in susceptible individuals, there is willingness to manage exposure risk by adopting effective strategies with desired features.
The development of children's prelife reasoning: evidence from two cultures.
Emmons, Natalie A; Kelemen, Deborah
2014-01-01
Two studies investigated children's reasoning about their mental and bodily states during the time prior to biological conception-"prelife." By exploring prelife beliefs in 5- to 12-year-olds (N = 283) from two distinct cultures (urban Ecuadorians, rural indigenous Shuar), the studies aimed to uncover children's untutored intuitions about the essential features of persons. Results showed that with age, children judged fewer mental and bodily states to be functional during prelife. However, children from both cultures continued to privilege the functionality of certain mental states (i.e., emotions, desires) relative to bodily states (i.e., biological, psychobiological, perceptual states). Results converge with afterlife research and suggest that there is an unlearned cognitive tendency to view emotions and desires as the eternal core of personhood. © 2014 The Authors. Child Development © 2014 Society for Research in Child Development, Inc.
Characterization of a piezoelectric valve for an adaptive pneumatic shock absorber
NASA Astrophysics Data System (ADS)
Mikułowski, Grzegorz; Wiszowaty, Rafał; Holnicki-Szulc, Jan
2013-12-01
This paper describes a pneumatic valve based on a multilayer piezoelectric actuator and Hörbiger plates. The device was designed to operate in an adaptive pneumatic shock absorber. The adaptive pneumatic shock absorber was considered as a piston-cylinder device and the valve was intended to be installed inside the piston. The main objective for the valve application was regulating the gas flow between the cylinder’s chambers in order to maintain the desired value of the reaction force generated by the shock absorber. The paper describes the design constraints and requirements, together with results of analytical modelling of fluid flow verified versus experimentally obtained data. The presented results indicate that the desired performance characteristics of the valve were obtained. The geometrical constraints of the flow ducts were studied and the actuator’s functional features analysed.
Mobile Health Physical Activity Intervention Preferences in Cancer Survivors: A Qualitative Study
Robertson, Michael C; Tsai, Edward; Lyons, Elizabeth J; Srinivasan, Sanjana; Swartz, Maria C; Baum, Miranda L
2017-01-01
Background Cancer survivors are at an elevated risk for several negative health outcomes, but physical activity (PA) can decrease those risks. Unfortunately, adherence to PA recommendations among survivors is low. Fitness mobile apps have been shown to facilitate the adoption of PA in the general population, but there are limited apps specifically designed for cancer survivors. This population has unique needs and barriers to PA, and most existing PA apps do not address these issues. Moreover, incorporating user preferences has been identified as an important priority for technology-based PA interventions, but at present there is limited literature that serves to establish these preferences in cancer survivors. This is especially problematic given the high cost of app development and because the majority of downloaded apps fail to engage users over the long term. Objective The aim of this study was to take a qualitative approach to provide practical insight regarding this population’s preferences for the features and messages of an app to increase PA. Methods A total of 35 cancer survivors each attended 2 focus groups; a moderator presented slide shows on potential app features and messages and asked open-ended questions to elicit participant preferences. All sessions were audio recorded and transcribed verbatim. Three reviewers independently conducted thematic content analysis on all transcripts, then organized and consolidated findings to identify salient themes. Results Participants (mean age 63.7, SD 10.8, years) were mostly female (24/35, 69%) and mostly white (25/35, 71%). Participants generally had access to technology and were receptive to engaging with an app to increase PA. Themes identified included preferences for (1) a casual, concise, and positive tone, (2) tools for personal goal attainment, (3) a prescription for PA, and (4) an experience that is tailored to the user. Participants reported wanting extensive background data collection with low data entry burden and to have a trustworthy source translate their personal data into individualized PA recommendations. They expressed a desire for app functions that could facilitate goal achievement and articulated a preference for a more private social experience. Finally, results indicated that PA goals might be best established in the context of personally held priorities and values. Conclusions Many of the desired features identified are compatible with both empirically supported methods of behavior change and the relative strengths of an app as a delivery vehicle for behavioral intervention. Participating cancer survivors’ preferences contrasted with many current standard practices for mobile app development, including value-based rather than numeric goals, private socialization in small groups rather than sharing with broader social networks, and interpretation of PA data rather than merely providing numerical data. Taken together, these insights may help increase the acceptability of theory-based mHealth PA interventions in cancer survivors. PMID:28119278
Compact and Hybrid Feature Description for Building Extraction
NASA Astrophysics Data System (ADS)
Li, Z.; Liu, Y.; Hu, Y.; Li, P.; Ding, Y.
2017-05-01
Building extraction in aerial orthophotos is crucial for various applications. Currently, deep learning has been shown to be successful in addressing building extraction with high accuracy and high robustness. However, quite a large number of samples is required in training a classifier when using deep learning model. In order to realize accurate and semi-interactive labelling, the performance of feature description is crucial, as it has significant effect on the accuracy of classification. In this paper, we bring forward a compact and hybrid feature description method, in order to guarantees desirable classification accuracy of the corners on the building roof contours. The proposed descriptor is a hybrid description of an image patch constructed from 4 sets of binary intensity tests. Experiments show that benefiting from binary description and making full use of color channels, this descriptor is not only computationally frugal, but also accurate than SURF for building extraction.
Surprise! Infants consider possible bases of generalization for a single input example.
Gerken, LouAnn; Dawson, Colin; Chatila, Razanne; Tenenbaum, Josh
2015-01-01
Infants have been shown to generalize from a small number of input examples. However, existing studies allow two possible means of generalization. One is via a process of noting similarities shared by several examples. Alternatively, generalization may reflect an implicit desire to explain the input. The latter view suggests that generalization might occur when even a single input example is surprising, given the learner's current model of the domain. To test the possibility that infants are able to generalize based on a single example, we familiarized 9-month-olds with a single three-syllable input example that contained either one surprising feature (syllable repetition, Experiment 1) or two features (repetition and a rare syllable, Experiment 2). In both experiments, infants generalized only to new strings that maintained all of the surprising features from familiarization. This research suggests that surprise can promote very rapid generalization. © 2014 John Wiley & Sons Ltd.