Attribution as a Predictor of Procrastination in Online Graduate Students
ERIC Educational Resources Information Center
Rakes, Glenda C.; Dunn, Karee E.; Rakes, Thomas A.
2013-01-01
Online courses are growing at a tremendous rate, and although we have discovered a great deal about teaching and learning in the online environment, there is much left to learn. One variable that needs to be explored further is procrastination in online coursework. In this mixed methods study, quantitative methods were utilized to evaluate the…
Inter-University Collaboration for Online Teaching Innovation: An Emerging Model
ERIC Educational Resources Information Center
Nerlich, Andrea Perkins; Soldner, James L.; Millington, Michael J.
2012-01-01
Distance education is constantly evolving and improving. To stay current, effective online instructors must utilize the most innovative, evidence-based teaching methods available to promote student learning and satisfaction in their courses. One emerging teaching method, referred to as blended online learning (BOL), involves collaborative…
Online social networking amongst teens: friend or foe?
O'Dea, Bridianne; Campbell, Andrew
2011-01-01
The impact of Internet communication on adolescent social development is of considerable importance to health professionals, parents and teachers. Online social networking and instant messaging programs are popular utilities amongst a generation of techno-savvy youth. Although these utilities provide varied methods of communication, their social benefits are still in question. This study examined the relationship between online social interaction, perceived social support, self-esteem and psychological distress amongst teens. A total of 400 participants (M(age) = 14.31 years) completed an online survey consisting of parametric and non-parametric measures. No significant relationship was found between online interaction and social support. Time spent interacting online was negatively correlated with self-esteem and psychological distress. While previous research has focused on young adults, this study examines the impact of online social networking on emerging teens. It highlights the need for continued caution in the acceptance of these utilities.
Online Continuing Education for Health Professionals: Does Sticky Design Promote Practice-Relevance?
ERIC Educational Resources Information Center
Zaghab, Roxanne Ward; Maldonado, Carlos; Whitehead, Dongsook; Bartlett, Felicia; de Bittner, Magaly Rodriguez
2015-01-01
Online continuing education (CE) holds promise as an effective method for rapid dissemination of emerging evidence-based practices in health care. Yet, the field of CE continues to develop and delivery is predominately face-to-face programs. Practice-oriented online educational methods and e-learning platforms are not fully utilized. Educational…
ERIC Educational Resources Information Center
Thomas, Jeff
2011-01-01
This study addresses preservice teachers' perceptions toward online experiences, specifically, their perceptions about utilizing an online science methods curriculum versus a traditional methods curriculum. Thirty-eight senior level preservice teachers at a midwestern U.S. university completed surveys about their experiences during their methods…
Approaching K-12 Online Education in Pennsylvania
ERIC Educational Resources Information Center
Vadell, Kathryn
2013-01-01
The purpose of this study is to determine how K-12 schools are addressing the need to accommodate online learners in Pennsylvania. It is built upon a review of literature focusing on educational legislation, the personalization of online learning and online learning solutions. The study posed 21 questions utilizing a mixed methods approach to…
Why Should We Use Online Research Methods? Four Doctoral Health Student Perspectives.
Germain, Jennifer; Harris, Jane; Mackay, Sean; Maxwell, Clare
2017-07-01
The growth of the Internet has led to an increase in researchers utilizing online methods. Online communities such as forums, blogs, and video platforms are particularly useful for research involving populations that are Internet savvy, seldom heard or discussing sensitive or illicit behavior. Drawing upon the experiences of four doctoral health students who are using online methods, this article discusses the value and benefits of conducting online research as well as the limitations and difficulties encountered. Consideration is given to the methodological and ethical implications of online research. Our own research leads us to reflect on participants' perceptions of what is public, preserving anonymity and protecting participants from harm.
¡Si, Se Puede! Achieving Academic Excellence Online
ERIC Educational Resources Information Center
Lumbreras, Ricardo, Jr.; Rupley, William H.
2017-01-01
Twenty-first century learners in post-secondary educational environments find themselves involved in online learning. Acquiring graduate degrees, especially for working professionals, has precipitated the need for effective, rigorous, relevant, and timely coursework online. Utilizing the qualitative research method of auto-ethnographic reporting,…
Perspectives of Online Graduate Preparation Programs for Student Affairs Professionals
ERIC Educational Resources Information Center
Connolly, Sara; Diepenbrock, Amy
2011-01-01
This exploratory research study utilized qualitative and quantitative research methods to determine how midlevel student affairs professionals perceive online education for preparation in the field. The participants noted that they do not perceive online education as equivalent to master's degree preparation programs for student affairs…
On-line method of determining utilization factor in Hg-196 photochemical separation process
Grossman, Mark W.; Moskowitz, Philip E.
1992-01-01
The present invention is directed to a method for determining the utilization factor [U] in a photochemical mercury enrichment process (.sup.196 Hg) by measuring relative .sup.196 Hg densities using absorption spectroscopy.
ERIC Educational Resources Information Center
Rivas, Rodolfo R.
2009-01-01
This exploratory study centered its investigation in the participants' responses provided in 2 different instructional teaching delivery methods (traditional and online) that utilized active-like teaching learning techniques (case studies, group projects, threaded discussions, class discussions, office hours, lectures, computerized assignments,…
Online data collection from video game players: methodological issues.
Wood, Richard T A; Griffiths, Mark D; Eatough, Virginia
2004-10-01
The paper outlines the advantages and disadvantages of using the Internet to collect data concerning both online and offline gamers. Drawing from experience of a number of studies carried out online by the authors and by reviewing the available literature, the authors discuss the main issues concerning data collected from video game players. The paper examines a number of areas, including recruiting and utilizing participants, validity, suitable methods of data collection (i.e., questionnaire studies, online tests, participant observation, online interviews), and ethical issues. It is concluded that online research methods can be a useful way of examining the psychosocial aspects of video game playing.
Online performance evaluation of RAID 5 using CPU utilization
NASA Astrophysics Data System (ADS)
Jin, Hai; Yang, Hua; Zhang, Jiangling
1998-09-01
Redundant arrays of independent disks (RAID) technology is the efficient way to solve the bottleneck problem between CPU processing ability and I/O subsystem. For the system point of view, the most important metric of on line performance is the utilization of CPU. This paper first employs the way to calculate the CPU utilization of system connected with RAID level 5 using statistic average method. From the simulation results of CPU utilization of system connected with RAID level 5 subsystem can we see that using multiple disks as an array to access data in parallel is the efficient way to enhance the on-line performance of disk storage system. USing high-end disk drivers to compose the disk array is the key to enhance the on-line performance of system.
Research Committee Issues Brief: Professional Development for Virtual Schooling and Online Learning
ERIC Educational Resources Information Center
Davis, Niki; Rose, Ray
2007-01-01
This report examines the types of professional development necessary to implement successful online learning initiatives. The potential for schools utilizing online learning is tremendous: schools can develop new distribution methods to enable equity and access for all students, they can provide high quality content for all students and they can…
The Fun Culture in Seniors' Online Communities
ERIC Educational Resources Information Center
Nimrod, Galit
2011-01-01
Purpose of the study: Previous research found that "fun on line" is the most dominant content in seniors' online communities. The present study aimed to further explore the "fun culture" in these communities and to discover its unique qualities. Design and Methods: The study applied an online ethnography (netnography) approach, utilizing a full…
ERIC Educational Resources Information Center
Varonis, Evageline Marlos
2014-01-01
Purpose: The purpose of this paper is to discuss benefits of and barriers to online learning and describe utilization of the Quality Matters (QM) peer review process as a method to assure the quality of online courses. It outlines the QM higher education rubric, explains how the collaborative QM peer review process facilitates online course design…
Spijkerman, Renske; Knibbe, Ronald; Knoops, Kim; Van De Mheen, Dike; Van Den Eijnden, Regina
2009-10-01
Rather than using the traditional, costly method of personal interviews in a general population sample, substance-use prevalence rates can be derived more conveniently from data collected among members of an online access panel. To examine the utility of this method, we compared the outcomes of an online survey with those obtained with the computer-assisted personal interviews (CAPI) method. Data were gathered from a large sample of online panellists and in a two-stage stratified sample of the Dutch population using the CAPI method. The Netherlands. Participants The online sample comprised 57 125 Dutch online panellists (15-64 years) of Survey Sampling International LLC (SSI), and the CAPI cohort 7204 respondents (15-64 years). All participants answered identical questions about their use of alcohol, cannabis, ecstasy, cocaine and performance-enhancing drugs. The CAPI respondents were asked additionally about internet access and online panel membership. Both data sets were weighted statistically according to the distribution of demographic characteristics of the general Dutch population. Response rates were 35.5% (n = 20 282) for the online panel cohort and 62.7% (n = 4516) for the CAPI cohort. The data showed almost consistently lower substance-use prevalence rates for the CAPI respondents. Although the observed differences could be due to bias in both data sets, coverage and non-response bias were higher in the online panel survey. Despite its economic advantage, the online panel survey showed stronger non-response and coverage bias than the CAPI survey, leading to less reliable estimates of substance use in the general population. © 2009 The Authors. Journal compilation © 2009 Society for the Study of Addiction.
Exploring the Instructional Value and Worth of a MOOC
ERIC Educational Resources Information Center
MacDonald, Patrick; Ahern, Terence C.
2015-01-01
Technology offers new and innovative ways to deliver learning such as the Massive Open Online Courses (MOOCs). The MOOC offers institutes of higher education a potential delivery method for delivering online learning. This study utilized a qualitative method to gather and analyze an active observer's experience within a MOOC. The results aligned…
Predictors of Learner Satisfaction and Transfer of Learning in a Corporate Online Education Program
ERIC Educational Resources Information Center
Gunawardena, Charlotte N.; Linder-VanBerschot, Jennifer A.; LaPointe, Deborah K.; Rao, Lalita
2010-01-01
This study explores factors that predict learner satisfaction and transfer of learning in an online educational program at a multinational corporation, established to improve organizational learning by providing training in technical skills. A mixed-methods design was used, selecting both quantitative methods (utilizing survey research) and…
Preferences for Online and/or Face-to-Face Counseling among University Students in Malaysia.
Wong, Kah P; Bonn, Gregory; Tam, Cai L; Wong, Chee P
2018-01-01
Increasingly, online counseling is considered to be a cost-effective and highly accessible method of providing basic counseling and mental health services. To examine the potential of online delivery as a way of increasing overall usage of services, this study looked at students' attitudes toward and likelihood of using both online and/or face-to-face counseling. A survey was conducted with 409 students from six universities in Malaysia participating. Approximately 35% of participants reported that they would be likely to utilize online counseling services but would be unlikely to participate in face-to-face counseling. Based on these results, it is suggested that offering online counseling, in addition to face-to-face services, could be an effective way for many university counseling centers to increase the utilization of their services and thus better serve their communities.
Knowledge Discovery from Posts in Online Health Communities Using Unified Medical Language System.
Chen, Donghua; Zhang, Runtong; Liu, Kecheng; Hou, Lei
2018-06-19
Patient-reported posts in Online Health Communities (OHCs) contain various valuable information that can help establish knowledge-based online support for online patients. However, utilizing these reports to improve online patient services in the absence of appropriate medical and healthcare expert knowledge is difficult. Thus, we propose a comprehensive knowledge discovery method that is based on the Unified Medical Language System for the analysis of narrative posts in OHCs. First, we propose a domain-knowledge support framework for OHCs to provide a basis for post analysis. Second, we develop a Knowledge-Involved Topic Modeling (KI-TM) method to extract and expand explicit knowledge within the text. We propose four metrics, namely, explicit knowledge rate, latent knowledge rate, knowledge correlation rate, and perplexity, for the evaluation of the KI-TM method. Our experimental results indicate that our proposed method outperforms existing methods in terms of providing knowledge support. Our method enhances knowledge support for online patients and can help develop intelligent OHCs in the future.
A method for the detection of trace levels of N,N-diethyl-m-toluamide (DEET) in water is discussed. The method utilizes an on-line preconcentration column in series with high performance liquid chromatography (HPLC) and UV photodiode array detection. DEET, a common insect repel...
Preferences for Online and/or Face-to-Face Counseling among University Students in Malaysia
Wong, Kah P.; Bonn, Gregory; Tam, Cai L.; Wong, Chee P.
2018-01-01
Increasingly, online counseling is considered to be a cost-effective and highly accessible method of providing basic counseling and mental health services. To examine the potential of online delivery as a way of increasing overall usage of services, this study looked at students’ attitudes toward and likelihood of using both online and/or face-to-face counseling. A survey was conducted with 409 students from six universities in Malaysia participating. Approximately 35% of participants reported that they would be likely to utilize online counseling services but would be unlikely to participate in face-to-face counseling. Based on these results, it is suggested that offering online counseling, in addition to face-to-face services, could be an effective way for many university counseling centers to increase the utilization of their services and thus better serve their communities. PMID:29445352
Introducing the R2D2 Model: Online Learning for the Diverse Learners of This World
ERIC Educational Resources Information Center
Bonk, Curtis J.; Zhang, Ke
2006-01-01
The R2D2 method--read, reflect, display, and do--is a new model for designing and delivering distance education, and in particular, online learning. Such a model is especially important to address the diverse preferences of online learners of varied generations and varied Internet familiarity. Four quadrants can be utilized separately or as part…
Cost Analysis of Online Courses. AIR 2000 Annual Forum Paper.
ERIC Educational Resources Information Center
Milam, John H., Jr.
This paper presents a complex, hybrid, method of cost analysis of online courses, which incorporates data on expenditures; student/course enrollment; departmental consumption/contribution; space utilization/opportunity costs; direct non-personnel costs; computing support; faculty/staff workload; administrative overhead at the department, dean, and…
Creating and Maintaining a Sense of Social Presence in Online Courses: A Mixed Methods Study
ERIC Educational Resources Information Center
Kapp, Kiley R.
2016-01-01
The purpose of this study was to determine strategies that could be implemented into an online course in order to create and maintain a sense of social presence between students and their professor and students and each other. A mixed methods study utilizing interviews, document analysis, and a survey was used to conduct the research. The study…
Rohan, Annie J; Fullerton, Judith; Escallier, Lori A; Pati, Susmita
A novel, sustainable digital badge-awarding online course was developed to prepare learners with familiarity of patient navigation. Learners offered favorable endorsement of essentially all elements of the program, especially the utility of the Blackboard learning management software program. Quality Matters standards provided a rigorous framework for the challenges of designing, implementing, and evaluating online curricula. Online education is an effective method for meeting the professional development needs of those seeking careers in care coordination/patient navigation.
Valuing SF-6D Health States Using a Discrete Choice Experiment.
Norman, Richard; Viney, Rosalie; Brazier, John; Burgess, Leonie; Cronin, Paula; King, Madeleine; Ratcliffe, Julie; Street, Deborah
2014-08-01
SF-6D utility weights are conventionally produced using a standard gamble (SG). SG-derived weights consistently demonstrate a floor effect not observed with other elicitation techniques. Recent advances in discrete choice methods have allowed estimation of utility weights. The objective was to produce Australian utility weights for the SF-6D and to explore the application of discrete choice experiment (DCE) methods in this context. We hypothesized that weights derived using this method would reflect the largely monotonic construction of the SF-6D. We designed an online DCE and administered it to an Australia-representative online panel (n = 1017). A range of specifications investigating nonlinear preferences with respect to additional life expectancy were estimated using a random-effects probit model. The preferred model was then used to estimate a preference index such that full health and death were valued at 1 and 0, respectively, to provide an algorithm for Australian cost-utility analyses. Physical functioning, pain, mental health, and vitality were the largest drivers of utility weights. Combining levels to remove illogical orderings did not lead to a poorer model fit. Relative to international SG-derived weights, the range of utility weights was larger with 5% of health states valued below zero. s. DCEs can be used to investigate preferences for health profiles and to estimate utility weights for multi-attribute utility instruments. Australian cost-utility analyses can now use domestic SF-6D weights. The comparability of DCE results to those using other elicitation methods for estimating utility weights for quality-adjusted life-year calculations should be further investigated. © The Author(s) 2013.
Zhou, Guoxu; Yang, Zuyuan; Xie, Shengli; Yang, Jun-Mei
2011-04-01
Online blind source separation (BSS) is proposed to overcome the high computational cost problem, which limits the practical applications of traditional batch BSS algorithms. However, the existing online BSS methods are mainly used to separate independent or uncorrelated sources. Recently, nonnegative matrix factorization (NMF) shows great potential to separate the correlative sources, where some constraints are often imposed to overcome the non-uniqueness of the factorization. In this paper, an incremental NMF with volume constraint is derived and utilized for solving online BSS. The volume constraint to the mixing matrix enhances the identifiability of the sources, while the incremental learning mode reduces the computational cost. The proposed method takes advantage of the natural gradient based multiplication updating rule, and it performs especially well in the recovery of dependent sources. Simulations in BSS for dual-energy X-ray images, online encrypted speech signals, and high correlative face images show the validity of the proposed method.
ERIC Educational Resources Information Center
Cavanaugh, Andrew; Song, Liyan
2015-01-01
This study investigated students' and instructors' approaches and preferences to audio and written comments in an online undergraduate composition class. A mixed-method design was employed utilizing both a survey instrument and interviews for data collection. Forty-nine students and five instructors participated. Students gave more positive…
Building Reflection with Word Clouds for Online RN to BSN Students.
Volkert, Delene R
Reflection allows students to integrate learning with their personal context, developing deeper knowledge and promoting critical thinking. Word clouds help students develop themes/concepts beyond traditional methods, introducing visual aspects to an online learning environment. Students created word clouds and captions, then responded to those created by peers for a weekly discussion assignment. Students indicated overwhelming support for the use of word clouds to develop deeper understanding of the subject matter. This reflection assignment could be utilized in asynchronous, online undergraduate nursing courses for creative methods of building reflection and developing knowledge for the undergraduate RN to BSN student.
Off-lexicon online Arabic handwriting recognition using neural network
NASA Astrophysics Data System (ADS)
Yahia, Hamdi; Chaabouni, Aymen; Boubaker, Houcine; Alimi, Adel M.
2017-03-01
This paper highlights a new method for online Arabic handwriting recognition based on graphemes segmentation. The main contribution of our work is to explore the utility of Beta-elliptic model in segmentation and features extraction for online handwriting recognition. Indeed, our method consists in decomposing the input signal into continuous part called graphemes based on Beta-Elliptical model, and classify them according to their position in the pseudo-word. The segmented graphemes are then described by the combination of geometric features and trajectory shape modeling. The efficiency of the considered features has been evaluated using feed forward neural network classifier. Experimental results using the benchmarking ADAB Database show the performance of the proposed method.
Che, Dexin; Hu, Jianping; Zhen, Shuangju; Yu, Chengfu; Li, Bin; Chang, Xi; Zhang, Wei
2017-01-01
This study tested a parallel two-mediator model in which the relationship between dimensions of emotional intelligence and online gaming addiction are mediated by perceived helplessness and perceived self-efficacy, respectively. The sample included 931 male adolescents (mean age = 16.18 years, SD = 0.95) from southern China. Data on emotional intelligence (four dimensions, including self-management of emotion, social skills, empathy and utilization of emotions), perceived stress (two facets, including perceived self-efficacy and perceived helplessness) and online gaming addiction were collected, and bootstrap methods were used to test this parallel two-mediator model. Our findings revealed that perceived self-efficacy mediated the relationship between three dimensions of emotional intelligence (i.e., self-management, social skills, and empathy) and online gaming addiction, and perceived helplessness mediated the relationship between two dimensions of emotional intelligence (i.e., self-management and emotion utilization) and online gaming addiction. These findings underscore the importance of separating the four dimensions of emotional intelligence and two facets of perceived stress to understand the complex relationship between these factors and online gaming addiction.
Che, Dexin; Hu, Jianping; Zhen, Shuangju; Yu, Chengfu; Li, Bin; Chang, Xi; Zhang, Wei
2017-01-01
This study tested a parallel two-mediator model in which the relationship between dimensions of emotional intelligence and online gaming addiction are mediated by perceived helplessness and perceived self-efficacy, respectively. The sample included 931 male adolescents (mean age = 16.18 years, SD = 0.95) from southern China. Data on emotional intelligence (four dimensions, including self-management of emotion, social skills, empathy and utilization of emotions), perceived stress (two facets, including perceived self-efficacy and perceived helplessness) and online gaming addiction were collected, and bootstrap methods were used to test this parallel two-mediator model. Our findings revealed that perceived self-efficacy mediated the relationship between three dimensions of emotional intelligence (i.e., self-management, social skills, and empathy) and online gaming addiction, and perceived helplessness mediated the relationship between two dimensions of emotional intelligence (i.e., self-management and emotion utilization) and online gaming addiction. These findings underscore the importance of separating the four dimensions of emotional intelligence and two facets of perceived stress to understand the complex relationship between these factors and online gaming addiction. PMID:28751876
Factors That Influence Transfer of Learning from the Online Environment
ERIC Educational Resources Information Center
Everett, Donna R.
2010-01-01
In this paper the author discusses transfer of learning factors to enhance the work skills and knowledge of online MBA students in a managerial communications course. Qualitative research survey methods were utilized; nVivo 8 was used to manipulate the data in two areas: factors that enhance transfer of learning and when students began to apply…
ERIC Educational Resources Information Center
Nathoo, Arif N.; Goldhoff, Patricia; Quattrochi, James J.
2005-01-01
Purpose: This study sought to assess the introduction of a web-based innovation in medical education that complements traditional problem-based learning curricula. Utilizing the case method as its fundamental educational approach, the Interactive Case-based Online Network (ICON) allows students to interact with each other, faculty and a virtual…
Parent Education for Dialogic Reading: Online and Face-to-Face Delivery Methods
ERIC Educational Resources Information Center
Beschorner, Beth; Hutchison, Amy
2016-01-01
This study explored the impact of a parent education program and the contextual factors that influenced the experiences of families in the program. Seventeen parents completed a 9-week, face-to-face program and 15 parents completed a similar online program. This study was designed as a multiple case study and utilized multimethods for data…
Cross-Cultural Differences in Undergraduate Students' Perceptions of Online Barriers
ERIC Educational Resources Information Center
Olesova, Larisa; Yang, Dazhi; Richardson, Jennifer C.
2011-01-01
The intent of this study was to learn about students' perceived barriers and the impact of those barriers on the quality of online discussions between two distinct cultural groups in Eastern and Northern Siberia (Russia). A mixed-methods approach utilizing surveys and interviews was used to investigate (1) the types of barriers the students…
Out of sight, out of mind: Do repeating students overlook online course components?
Holland, Jane; Clarke, Eric; Glynn, Mark
2016-11-01
E-Learning is becoming an integral part of undergraduate medicine, with many curricula incorporating a number of online activities and resources, in addition to more traditional teaching methods. This study examines physical attendance, online activity, and examination outcomes in a first-year undergraduate medical program. All 358 students who completed the Alimentary System module within the first semester of the program were included, 30 of whom were repeating the year, and thus the module. This systems-based, multidisciplinary module incorporated didactic lectures, cadaveric small group tutorials and additional e-Learning resources such as online histology tutorials. Significant differences were demonstrated in physical attendance and utilization of online resources between repeating students and those participating in the module for the first time. Subsequent analyses confirmed that physical attendance, access of online lecture resources, and utilization of online histology tutorials were all significantly correlated. In addition, both physical attendance and utilization of online resources significantly correlated with summative examination performance. While nonattendance may be due to a variety of factors, our data confirm that significant differences exist in both physical attendance and online activity between new entrants and repeating students, such that all students repeating a module or academic year should be routinely interviewed and offered appropriate supports to ensure that they continue to engage with the program. While the development of complex algorithmic models may be resource intensive, using readily available indices from virtual learning environments is a straightforward, albeit less powerful, means to identify struggling students prior to summative examinations. Anat Sci Educ 9: 555-564. © 2016 American Association of Anatomists. © 2016 American Association of Anatomists.
NASA Astrophysics Data System (ADS)
Pellas, Nikolaos; kazanidis, Ioannis
2014-04-01
Students' opinions about the degree of impact, status, and socio-cognitive viability with the utilization of the emerging three-dimensional (3D) computer-generated technologies may vary. Indisputably, 3D technology-enhanced environments have provided considerable benefits and affordances to the contemporary e-Education. In these circumstances, virtual worlds (VWs) like second life (SL) have generally intensified with an extensive perpetuation and penetration of innovative performances that encapsulated or enacted from the vast majority of higher education fields. At the same time, there is growing widespread recognition of reasons affecting the high or low degree of students' engagement in online and blended course delivery methods held in 3D VWs. Notwithstanding that most notable studies have disclosed SL functional capabilities from a plethora of pilot case studies, however, it is still lacking an experiential-based research approach to determine the degree of students' engagement in blended and online courses at university level through SL. The present comparative study explores students' engagement overall as a multidimensional construct consisting of emotional, behavioral, and cognitive factors. One hundred and thirty-five undergraduate and postgraduate students in almost identical blended and online instructional conditions held in SL took part in this project. Preliminary results have decoded students' satisfaction for both methods, despite the fact that the voluntary sample composed of different educational disciplines. The quantitative analysis showed that postgraduate students of the online course had more positive results and the degree of engagement significantly increased compared to those who enrolled with the blended course delivery method. The instructional affordances from the utilization of SL were the collaborative climate between users (instructor and students) who eliminated various intractable boundaries which were predominantly observed by several conventional methods. Specifically it was revealed that the online course delivery method engaged more students with the collaborative activities. Educational implications and recommendations for future research are also included.
Asynchronous learning: student utilization out of sync with their preference.
Lew, Edward K; Nordquist, Erik K
2016-01-01
Asynchronous learning is gaining popularity. Data are limited regarding this learning method in medical students rotating in emergency medicine (EM). In EM, faculty time is limited to give in-person lectures. The authors sought to create an online curriculum that students could utilize as an additional learning modality. The goal was to evaluate effectiveness, participation, and preference for this mode of learning. We developed five online, narrated PowerPoint presentations. After orientation, access to the online curriculum was provided to the students, which they could review at their leisure. One hundred and seven fourth-year medical students participated. They reported the curriculum to be of high quality. Pretest scores were similar for those that viewed all lectures - compliant group (CG) (9.5 [CI 4.8-14.1]) and those that did not view any - non-compliant group (NCG) (9.6 [CI 5.9-13.4]). There was no statistical significant difference in posttest scores between the groups although there was improvement overall: CG 14.6 (CI 6.9-22.1); NCG 11.4 (CI 5.7-17.1). A majority (69.2%) favored inclusion of asynchronous learning, but less than a quarter (22.4%) reported viewing all five modules and more than a third (36.4%) viewed none. Despite student-expressed preference for an online curriculum, they used the online resource less than expected. This should give pause to educators looking to convert core EM topics to an online format. However, when high-quality online lectures are utilized as a learning tool, this study demonstrates that they had neither a positive nor a negative impact on test scores.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Subekti, M.; Center for Development of Reactor Safety Technology, National Nuclear Energy Agency of Indonesia, Puspiptek Complex BO.80, Serpong-Tangerang, 15340; Ohno, T.
2006-07-01
The neuro-expert has been utilized in previous monitoring-system research of Pressure Water Reactor (PWR). The research improved the monitoring system by utilizing neuro-expert, conventional noise analysis and modified neural networks for capability extension. The parallel method applications required distributed architecture of computer-network for performing real-time tasks. The research aimed to improve the previous monitoring system, which could detect sensor degradation, and to perform the monitoring demonstration in High Temperature Engineering Tested Reactor (HTTR). The developing monitoring system based on some methods that have been tested using the data from online PWR simulator, as well as RSG-GAS (30 MW research reactormore » in Indonesia), will be applied in HTTR for more complex monitoring. (authors)« less
Juusola, Jessie L; Quisel, Thomas R; Foschini, Luca; Ladapo, Joseph A
2016-06-01
Patients with difficult medical cases often remain undiagnosed despite visiting multiple physicians. A new online platform, CrowdMed, uses crowdsourcing to quickly and efficiently reach an accurate diagnosis for these patients. This study sought to evaluate whether CrowdMed decreased health care utilization for patients who have used the service. Novel, electronic methods of patient recruitment and data collection were utilized. Patients who completed cases on CrowdMed's platform between July 2014 and April 2015 were recruited for the study via email and screened via an online survey. After providing eConsent, participants provided identifying information used to access their medical claims data, which was retrieved through a third-party web application program interface (API). Utilization metrics including frequency of provider visits and medical charges were compared pre- and post-case resolution to assess the impact of resolving a case on CrowdMed. Of 45 CrowdMed users who completed the study survey, comprehensive claims data was available via API for 13 participants, who made up the final enrolled sample. There were a total of 221 health care provider visits collected for the study participants, with service dates ranging from September 2013 to July 2015. Frequency of provider visits was significantly lower after resolution of a case on CrowdMed (mean of 1.07 visits per month pre-resolution vs. 0.65 visits per month post-resolution, P=.01). Medical charges were also significantly lower after case resolution (mean of US $719.70 per month pre-resolution vs. US $516.79 per month post-resolution, P=.03). There was no significant relationship between study results and disease onset date, and there was no evidence of regression to the mean influencing results. This study employed technology-enabled methods to demonstrate that patients who used CrowdMed had lower health care utilization after case resolution. However, since the final sample size was limited, results should be interpreted as a case study. Despite this limitation, the statistically significant results suggest that online crowdsourcing shows promise as an efficient method of solving difficult medical cases.
Online Stereo 3D Simulation in Studying the Spherical Pendulum in Conservative Force Field
ERIC Educational Resources Information Center
Zabunov, Svetoslav S.
2013-01-01
The current paper aims at presenting a modern e-learning method and tool that is utilized in teaching physics in the universities. An online stereo 3D simulation is used for e-learning mechanics and specifically the teaching of spherical pendulum as part of the General Physics course for students in the universities. This approach was realized on…
Intelligent Systems: Terrestrial Observation and Prediction Using Remote Sensing Data
NASA Technical Reports Server (NTRS)
Coughlan, Joseph C.
2005-01-01
NASA has made science and technology investments to better utilize its large space-borne remote sensing data holdings of the Earth. With the launch of Terra, NASA created a data-rich environment where the challenge is to fully utilize the data collected from EOS however, despite unprecedented amounts of observed data, there is a need for increasing the frequency, resolution, and diversity of observations. Current terrestrial models that use remote sensing data were constructed in a relatively data and compute limited era and do not take full advantage of on-line learning methods and assimilation techniques that can exploit these data. NASA has invested in visualization, data mining and knowledge discovery methods which have facilitated data exploitation, but these methods are insufficient for improving Earth science models that have extensive background knowledge nor do these methods refine understanding of complex processes. Investing in interdisciplinary teams that include computational scientists can lead to new models and systems for online operation and analysis of data that can autonomously improve in prediction skill over time.
Effectiveness of objectivist online instruction on graduate learners' knowledge and competence
NASA Astrophysics Data System (ADS)
Maryannakis, Artemios
Online courses currently offered by aeronautical institutions are unstructured conversions of traditional courses into Web-based courses that lack the learning theory and instructional design principles framework, thus lacking the efficiency and effectiveness in dealing with the academic demands required to prepare aviation/aerospace professionals for the challenges of the technologically driven twenty-first century. The purpose of this study was to compare the effectiveness of two versions of an aeronautical online graduate course on research methods knowledge and competence: a comprehensive objectivist design and an unstructured design. Quantitative, causal comparative, quasi-experimental methodology was utilized. Using criteria derived from literature, criteria were established for the development and eventual online delivery of a comprehensive objectivist instructional design on graduate research methods learning. Results revealed that the comprehensive objectivist design was significantly more effective than its unstructured counterpart on graduate learners' competence in research methods, but found no significant difference in knowledge. It was recommended that aeronautical institutions (a) create programs with critical thinking and problem solving embedded in their curriculum for enhancing learner competence, and (b) thoroughly train every online instructor in the development and use of comprehensive online instruction.
Hu, Zhongkai; Hao, Shiying; Jin, Bo; Shin, Andrew Young; Zhu, Chunqing; Huang, Min; Wang, Yue; Zheng, Le; Dai, Dorothy; Culver, Devore S; Alfreds, Shaun T; Rogow, Todd; Stearns, Frank
2015-01-01
Background The increasing rate of health care expenditures in the United States has placed a significant burden on the nation’s economy. Predicting future health care utilization of patients can provide useful information to better understand and manage overall health care deliveries and clinical resource allocation. Objective This study developed an electronic medical record (EMR)-based online risk model predictive of resource utilization for patients in Maine in the next 6 months across all payers, all diseases, and all demographic groups. Methods In the HealthInfoNet, Maine’s health information exchange (HIE), a retrospective cohort of 1,273,114 patients was constructed with the preceding 12-month EMR. Each patient’s next 6-month (between January 1, 2013 and June 30, 2013) health care resource utilization was retrospectively scored ranging from 0 to 100 and a decision tree–based predictive model was developed. Our model was later integrated in the Maine HIE population exploration system to allow a prospective validation analysis of 1,358,153 patients by forecasting their next 6-month risk of resource utilization between July 1, 2013 and December 31, 2013. Results Prospectively predicted risks, on either an individual level or a population (per 1000 patients) level, were consistent with the next 6-month resource utilization distributions and the clinical patterns at the population level. Results demonstrated the strong correlation between its care resource utilization and our risk scores, supporting the effectiveness of our model. With the online population risk monitoring enterprise dashboards, the effectiveness of the predictive algorithm has been validated by clinicians and caregivers in the State of Maine. Conclusions The model and associated online applications were designed for tracking the evolving nature of total population risk, in a longitudinal manner, for health care resource utilization. It will enable more effective care management strategies driving improved patient outcomes. PMID:26395541
On-line algorithms for forecasting hourly loads of an electric utility
DOE Office of Scientific and Technical Information (OSTI.GOV)
Vemuri, S.; Huang, W.L.; Nelson, D.J.
A method that lends itself to on-line forecasting of hourly electric loads is presented, and the results of its use are compared to models developed using the Box-Jenkins method. The method consits of processing the historical hourly loads with a sequential least-squares estimator to identify a finite-order autoregressive model which, in turn, is used to obtain a parsimonious autoregressive-moving average model. The method presented has several advantages in comparison with the Box-Jenkins method including much-less human intervention, improved model identification, and better results. The method is also more robust in that greater confidence can be placed in the accuracy ofmore » models based upon the various measures available at the identification stage.« less
Reaching Spanish-speaking smokers online: a 10-year worldwide research program
Muñoz, Ricardo Felipe; Chen, Ken; Bunge, Eduardo Liniers; Bravin, Julia Isabela; Shaughnessy, Elizabeth Annelly; Pérez-Stable, Eliseo Joaquín
2014-01-01
Objective To describe a 10-year proof-of-concept smoking cessation research program evaluating the reach of online health interventions throughout the Americas. Methods Recruitment occurred from 2002–2011, primarily using Google.com AdWords. Over 6 million smokers from the Americas entered keywords related to smoking cessation; 57 882 smokers (15 912 English speakers and 41 970 Spanish speakers) were recruited into online self-help automated intervention studies. To examine disparities in utilization of methods to quit smoking, cessation aids used by English speakers and Spanish speakers were compared. To determine whether online interventions reduce disparities, abstinence rates were also compared. Finally, the reach of the intervention was illustrated for three large Spanish-speaking countries of the Americas—Argentina, Mexico, and Peru—and the United States of America. Results Few participants had utilized other methods to stop smoking before coming to the Internet site; most reported using no previous smoking cessation aids: 69.2% of Spanish speakers versus 51.8% of English speakers (P < 0.01). The most used method was nicotine gum, 13.9%. Nicotine dependence levels were similar to those reported for in-person smoking cessation trials. Overall observed quit rate for English speakers was 38.1% and for Spanish speakers, 37.0%; quit rates in which participants with missing data were considered to be smoking were 11.1% and 10.6%, respectively. Neither comparison was significantly different. Conclusions The systematic use of evidence-based Internet interventions for health problems could have a broad impact throughout the Americas, at little or no cost to individuals or to ministries of health. PMID:25211569
Utilizing Flight Data to Update Aeroelastic Stability Estimates
NASA Technical Reports Server (NTRS)
Lind, Rick; Brenner, Marty
1997-01-01
Stability analysis of high performance aircraft must account for errors in the system model. A method for computing flutter margins that incorporates flight data has been developed using robust stability theory. This paper considers applying this method to update flutter margins during a post-flight or on-line analysis. Areas of modeling uncertainty that arise when using flight data with this method are investigated. The amount of conservatism in the resulting flutter margins depends on the flight data sets used to update the model. Post-flight updates of flutter margins for an F/A-18 are presented along with a simulation of on-line updates during a flight test.
Controlled trials to improve antibiotic utilization: a systematic review of experience, 1984-2004.
Parrino, Thomas A
2005-02-01
To review the effectiveness of interventions designed to improve antibiotic prescribing patterns in clinical practice and to draw inferences about the most practical methods for optimizing antibiotic utilization in hospital and ambulatory settings. A literature search using online databases for the years 1975-2004 identified controlled trials of strategies for improving antibiotic utilization. Due to variation in study settings and design, quantitative meta-analysis was not feasible. Therefore, a qualitative literature review was conducted. Forty-one controlled trials met the search criteria. Interventions consisted of education, peer review and feedback, physician participation, rewards and penalties, administrative methods, and combined approaches. Social marketing directed at patients and prescribers was effective in varying contexts, as was implementation of practice guidelines. Authorization systems with structured order entry, formulary restriction, and mandatory consultation were also effective. Peer review and feedback were more effective when combined with dissemination of relevant information or social marketing than when used alone. Several practices were effective in improving antibiotic utilization: social marketing, practice guidelines, authorization systems, and peer review and feedback. Online systems providing clinical information, structured order entry, and decision support may be the most promising approach. Further studies, including economic analyses, are needed to confirm or refute this hypothesis.
Online-based interventions for sexual health among individuals with cancer: a systematic review.
Kang, Hee Sun; Kim, Hyun-Kyung; Park, Seong Man; Kim, Jung-Hee
2018-03-07
Online interventions have the advantages of being widely available, accessible, comfortable, cost effective, and they can provide tailored information and support. Despite these benefits, the effects of specifically devised online intervention programs for cancer patients' sexual problems are somewhat unclear. The aim of this review is to describe online-based interventions and to assess their effects on sexual health among cancer survivors and/or their partners. We investigated the effects of online sexual interventions among individuals with cancer or their partners. Among these, we considered 4 eligible articles. Despite the diversity of contents of the interventions, the identified modes of delivery among most of the interventions were as follows: education, interactive methods, cognitive behavior therapy, tailored information, and self-monitoring. Methods of monitoring the interventions, including the utilization of the web site and post-treatment program rating, were reported. All the online intervention programs incorporated a focus on physical, psychological, cognitive, and social aspects of sexual health. Significant effects on patient sexual function and interest and the psychological aspect of sexual problems were reported. This study provides evidence that online-based interventions would be effective in improving the psycho-sexual problems of cancer survivors and their partners.
Chen, Yen-Yuan; Li, Chia-Ming; Liang, Jyh-Chong; Tsai, Chin-Chung
2018-02-12
The increasing utilization of the internet has provided a better opportunity for people to search online for health information, which was not easily available to them in the past. Studies reported that searching on the internet for health information may potentially influence an individual's decision making to change her health-seeking behaviors. The objectives of this study were to (1) develop and validate 2 questionnaires to estimate the strategies of problem-solving in medicine and utilization of online health information, (2) determine the association between searching online for health information and utilization of online health information, and (3) determine the association between online medical help-seeking and utilization of online health information. The Problem Solving in Medicine and Online Health Information Utilization questionnaires were developed and implemented in this study. We conducted confirmatory factor analysis to examine the structure of the factor loadings and intercorrelations for all the items and dimensions. We employed Pearson correlation coefficients for examining the correlations between each dimension of the Problem Solving in Medicine questionnaire and each dimension of the Online Health Information Utilization questionnaire. Furthermore, we conducted structure equation modeling for examining the possible linkage between each of the 6 dimensions of the Problem Solving in Medicine questionnaire and each of the 3 dimensions of the Online Health Information Utilization questionnaire. A total of 457 patients participated in this study. Pearson correlation coefficients ranged from .12 to .41, all with statistical significance, implying that each dimension of the Problem Solving in Medicine questionnaire was significantly associated with each dimension of the Online Health Information Utilization questionnaire. Patients with the strategy of online health information search for solving medical problems positively predicted changes in medical decision making (P=.01), consulting with others (P<.001), and promoting self-efficacy on deliberating the online health information (P<.001) based on the online health information they obtained. Present health care professionals have a responsibility to acknowledge that patients' medical decision making may be changed based on additional online health information. Health care professionals should assist patients' medical decision making by initiating as much dialogue with patients as possible, providing credible and convincing health information to patients, and guiding patients where to look for accurate, comprehensive, and understandable online health information. By doing so, patients will avoid becoming overwhelmed with extraneous and often conflicting health information. Educational interventions to promote health information seekers' ability to identify, locate, obtain, read, understand, evaluate, and effectively use online health information are highly encouraged. ©Yen-Yuan Chen, Chia-Ming Li, Jyh-Chong Liang, Chin-Chung Tsai. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 12.02.2018.
White, Ryen W; Horvitz, Eric
2014-01-01
Objective To better understand the relationship between online health-seeking behaviors and in-world healthcare utilization (HU) by studies of online search and access activities before and after queries that pursue medical professionals and facilities. Materials and methods We analyzed data collected from logs of online searches gathered from consenting users of a browser toolbar from Microsoft (N=9740). We employed a complementary survey (N=489) to seek a deeper understanding of information-gathering, reflection, and action on the pursuit of professional healthcare. Results We provide insights about HU through the survey, breaking out its findings by different respondent marginalizations as appropriate. Observations made from search logs may be explained by trends observed in our survey responses, even though the user populations differ. Discussion The results provide insights about how users decide if and when to utilize healthcare resources, and how online health information seeking transitions to in-world HU. The findings from both the survey and the logs reveal behavioral patterns and suggest a strong relationship between search behavior and HU. Although the diversity of our survey respondents is limited and we cannot be certain that users visited medical facilities, we demonstrate that it may be possible to infer HU from long-term search behavior by the apparent influence that health concerns and professional advice have on search activity. Conclusions Our findings highlight different phases of online activities around queries pursuing professional healthcare facilities and services. We also show that it may be possible to infer HU from logs without tracking people's physical location, based on the effect of HU on pre- and post-HU search behavior. This allows search providers and others to develop more robust models of interests and preferences by modeling utilization rather than simply the intention to utilize that is expressed in search queries. PMID:23666794
Humidity Measurements: A Psychrometer Suitable for On-Line Data Acquisition.
ERIC Educational Resources Information Center
Caporaloni, Marina; Ambrosini, Roberto
1992-01-01
Explains the typical design, operation, and calibration of a traditional psychrometer. Presents the method utilized for this class project with design considerations, calibration techniques, remote data sensing schematic, and specifics of the implementation process. (JJK)
Multiple UAV Cooperation for Wildfire Monitoring
NASA Astrophysics Data System (ADS)
Lin, Zhongjie
Wildfires have been a major factor in the development and management of the world's forest. An accurate assessment of wildfire status is imperative for fire management. This thesis is dedicated to the topic of utilizing multiple unmanned aerial vehicles (UAVs) to cooperatively monitor a large-scale wildfire. This is achieved through wildfire spreading situation estimation based on on-line measurements and wise cooperation strategy to ensure efficiency. First, based on the understanding of the physical characteristics of the wildfire propagation behavior, a wildfire model and a Kalman filter-based method are proposed to estimate the wildfire rate of spread and the fire front contour profile. With the enormous on-line measurements from on-board sensors of UAVs, the proposed method allows a wildfire monitoring mission to benefit from on-line information updating, increased flexibility, and accurate estimation. An independent wildfire simulator is utilized to verify the effectiveness of the proposed method. Second, based on the filter analysis, wildfire spreading situation and vehicle dynamics, the influence of different cooperation strategies of UAVs to the overall mission performance is studied. The multi-UAV cooperation problem is formulated in a distributed network. A consensus-based method is proposed to help address the problem. The optimal cooperation strategy of UAVs is obtained through mathematical analysis. The derived optimal cooperation strategy is then verified in an independent fire simulation environment to verify its effectiveness.
Long-term object tracking combined offline with online learning
NASA Astrophysics Data System (ADS)
Hu, Mengjie; Wei, Zhenzhong; Zhang, Guangjun
2016-04-01
We propose a simple yet effective method for long-term object tracking. Different from the traditional visual tracking method, which mainly depends on frame-to-frame correspondence, we combine high-level semantic information with low-level correspondences. Our framework is formulated in a confidence selection framework, which allows our system to recover from drift and partly deal with occlusion. To summarize, our algorithm can be roughly decomposed into an initialization stage and a tracking stage. In the initialization stage, an offline detector is trained to get the object appearance information at the category level, which is used for detecting the potential target and initializing the tracking stage. The tracking stage consists of three modules: the online tracking module, detection module, and decision module. A pretrained detector is used for maintaining drift of the online tracker, while the online tracker is used for filtering out false positive detections. A confidence selection mechanism is proposed to optimize the object location based on the online tracker and detection. If the target is lost, the pretrained detector is utilized to reinitialize the whole algorithm when the target is relocated. During experiments, we evaluate our method on several challenging video sequences, and it demonstrates huge improvement compared with detection and online tracking only.
ERIC Educational Resources Information Center
Wolter, Bjorn Hugo Karl
2010-01-01
The purpose of this study was to better understand how an online, multimedia case study method influenced students' motivation, performance, and perceptions of science in collegiate level biology classes. It utilized a mix-methods design including data from pre- and post-test, student surveys, and focus group interviews to answer one primary…
Enhancing Response Rates in Physician Surveys: The Limited Utility of Electronic Options
Nicholls, Keith; Chapman, Kathryn; Shaw, Thomas; Perkins, Allen; Sullivan, Margaret Murray; Crutchfield, Susan; Reed, Eddie
2011-01-01
Objective To evaluate the utility of offering physicians electronic options as alternatives to completing mail questionnaires. Data Source A survey of colorectal cancer screening practices of Alabama primary care physicians, conducted May–June 2010. Study Design In the follow-up to a mail questionnaire, physicians were offered options of completing surveys by telephone, fax, email, or online. Data Collection Method Detailed records were kept on the timing and mode of completion of surveys. Principal Findings Eighty-eight percent of surveys were returned by mail, 10 percent were returned by fax, and only 2 percent were completed online; none were completed by telephone or email. Conclusions Offering fax options increases response rates, but providing other electronic options does not. PMID:21492157
McInroy, Lauren B
2016-06-01
Online research methodologies may serve as an important mechanism for population-focused data collection in social work research. Online surveys have become increasingly prevalent in research inquiries with young people and have been acknowledged for their potential in investigating understudied and marginalized populations and subpopulations, permitting increased access to communities that tend to be less visible-and thus often less studied-in offline contexts. Lesbian, gay, bisexual, transgender, and queer (LGBTQ) young people are a socially stigmatized, yet digitally active, youth population whose participation in online surveys has been previously addressed in the literature. Many of the opportunities and challenges of online survey research identified with LGBTQ youths may be highly relevant to other populations of marginalized and hard-to-access young people, who are likely present in significant numbers in the online environment (for example, ethnoracialized youths and low-income youths). In this article, the utility of online survey methods with marginalized young people is discussed, and recommendations for social work research are provided.
Leitan, Nuwan D; Michalak, Erin E; Berk, Lesley; Berk, Michael; Murray, Greg
2015-03-01
Self-management is emerging as a viable alternative to difficult-to-access psychosocial treatments for bipolar disorder (BD), and has particular relevance to recovery-related goals around empowerment and personal meaning. This review examines data and theory on BD self-management from a recovery-oriented perspective, with a particular focus on optimizing low-intensity delivery of self-management tools via the web. A critical evaluation of various literatures was undertaken. Literatures on recovery, online platforms, and self-management in mental health and BD are reviewed. The literature suggests that the self-management approach aligns with the recovery framework. However, studies have identified a number of potential barriers to the utilization of self-management programs for BD and it has been suggested that utilizing an online environment may be an effective way to surmount many of these barriers. Online self-management programs for BD are rapidly developing, and in parallel the recovery perspective is becoming the dominant paradigm for mental health services worldwide, so research is urgently required to assess the efficacy and safety of optimization methods such as professional and/or peer support, tailoring and the development of 'online communities'. © 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
Documenting Preservice Teacher Growth through Critical Assessment of Online Lesson Plans
ERIC Educational Resources Information Center
Cude, Michelle D.; Haraway, Dana L.
2017-01-01
This research explores the question of how students in a social studies methods course improve skills in analyzing and critiquing pre-existing lesson plans. It utilizes a pre-post authentic assessment tool to measure student growth in key skills of lesson plan critique over the course of one semester's methods instruction. The results support the…
Utilization of Online Educational Resources in Teaching: A Moderated Mediation Perspective
ERIC Educational Resources Information Center
Kio, Su Iong; Lau, Meng Chan Virgina
2017-01-01
The study builds on a newly modified Technology Acceptance Model (TAM) to substantiate the motivation and operation of teachers' utilization of online learning resources. A "Comprehensiveness" construct is proposed in the modified TAM to reflect the breadth and depth of rich online knowledge. This new construct serves as the mediator…
Study of Dynamic Characteristics of Aeroelastic Systems Utilizing Randomdec Signatures
NASA Technical Reports Server (NTRS)
Chang, C. S.
1975-01-01
The feasibility of utilizing the random decrement method in conjunction with a signature analysis procedure to determine the dynamic characteristics of an aeroelastic system for the purpose of on-line prediction of potential on-set of flutter was examined. Digital computer programs were developed to simulate sampled response signals of a two-mode aeroelastic system. Simulated response data were used to test the random decrement method. A special curve-fit approach was developed for analyzing the resulting signatures. A number of numerical 'experiments' were conducted on the combined processes. The method is capable of determining frequency and damping values accurately from randomdec signatures of carefully selected lengths.
Yang, Ehwa; Gwak, Jeonghwan; Jeon, Moongu
2017-01-01
Due to the reasonably acceptable performance of state-of-the-art object detectors, tracking-by-detection is a standard strategy for visual multi-object tracking (MOT). In particular, online MOT is more demanding due to its diverse applications in time-critical situations. A main issue of realizing online MOT is how to associate noisy object detection results on a new frame with previously being tracked objects. In this work, we propose a multi-object tracker method called CRF-boosting which utilizes a hybrid data association method based on online hybrid boosting facilitated by a conditional random field (CRF) for establishing online MOT. For data association, learned CRF is used to generate reliable low-level tracklets and then these are used as the input of the hybrid boosting. To do so, while existing data association methods based on boosting algorithms have the necessity of training data having ground truth information to improve robustness, CRF-boosting ensures sufficient robustness without such information due to the synergetic cascaded learning procedure. Further, a hierarchical feature association framework is adopted to further improve MOT accuracy. From experimental results on public datasets, we could conclude that the benefit of proposed hybrid approach compared to the other competitive MOT systems is noticeable. PMID:28304366
De Groote, Sandra L; Shultz, Mary; Blecic, Deborah D
2014-07-01
The research assesses the information-seeking behaviors of health sciences faculty, including their use of online databases, journals, and social media. A survey was designed and distributed via email to 754 health sciences faculty at a large urban research university with 6 health sciences colleges. Twenty-six percent (198) of faculty responded. MEDLINE was the primary database utilized, with 78.5% respondents indicating they use the database at least once a week. Compared to MEDLINE, Google was utilized more often on a daily basis. Other databases showed much lower usage. Low use of online databases other than MEDLINE, link-out tools to online journals, and online social media and collaboration tools demonstrates a need for meaningful promotion of online resources and informatics literacy instruction for faculty. Library resources are plentiful and perhaps somewhat overwhelming. Librarians need to help faculty discover and utilize the resources and tools that libraries have to offer.
Dubey, Gaurav; McDonald, David W; Poole, Erika S; Li, Victor; Eikey, Elizabeth
2014-01-01
Background There is increasing interest in the use of online forums as a component of eHealth weight loss interventions. Although the research is mixed on the utility of online forums in general, results suggest that there is promise to this, particularly if the systems can be designed well to support healthful interactions that foster weight loss and continued engagement. Objective The purpose of this study was to examine the relationship between the styles of utterances individuals make on an online weight loss forum and week-to-week fluctuations in weight. This analysis was conducted to generate hypotheses on possible strategies that could be used to improve the overall design of online support groups to facilitate more healthful interactions. Methods A convenience sample of individuals using an online weight loss forum (N=4132) included data both on online forum use and weight check-in data. All interactions were coded utilizing the Linguistic Inquiry and Word Count (LIWC) system. Mixed model analyses were conducted to examine the relationship between these LIWC variables and weight over time. Results Results suggested that increased use of past-tense verbs (P=.05) and motion (P=.02) were associated with lower weekly weights whereas increased use of conjunctions (eg, and, but, whereas; P=.001) and exclusion words (eg, but, without, exclude; P=.07) were both associated with higher weight during the weeks when these utterances were used more. Conclusions These results provide some insights on the styles of interactions that appear to be associated with weight fluctuations. Future work should explore the stability of these findings and also explore possibilities for fostering these types of interactions more explicitly within online weight loss forums. PMID:25513997
Blended Learning: A Mixed-Methods Study on Successful Schools and Effective Practices
ERIC Educational Resources Information Center
Mathews, Anne
2017-01-01
Blended learning is a teaching technique that utilizes face-to-face teaching and online or technology-based practice in which the learner has the ability to exert some level of control over the pace, place, path, or time of learning. Schools that employ this method of teaching often demonstrate larger gains than traditional face-to-face programs…
Sun, Meng; Ren, Jing; Du, Hui; Zhang, Yanmin; Zhang, Jie; Wang, Sicen; He, Langchong
2010-10-15
We have developed an online analytical method that combines A431 cell membrane chromatography (A431/CMC) with high performance liquid chromatography and mass spectrometry (LC/MS) for identifying active components from Radix Caulophylli acting on human EGFR. Retention fractions on A431/CMC model were captured onto an enrichment column and the components were directly analyzed by combining a 10-port column switcher with an LC/MS system for separation and preliminary identification. Using Sorafenib tosylate as a positive control, taspine and caulophine from Radix Caulophylli were identified as the active molecules which could act on the EGFR. This A431/CMC-online-LC/MS method can be applied for screening active components acting on EGFR from traditional Chinese medicines exemplified by Radix Caulophylli and will be of great utility in drug discovery using natural medicinal herbs as a source of novel compounds. Copyright © 2010 Elsevier B.V. All rights reserved.
Linear Quadratic Tracking Design for a Generic Transport Aircraft with Structural Load Constraints
NASA Technical Reports Server (NTRS)
Burken, John J.; Frost, Susan A.; Taylor, Brian R.
2011-01-01
When designing control laws for systems with constraints added to the tracking performance, control allocation methods can be utilized. Control allocations methods are used when there are more command inputs than controlled variables. Constraints that require allocators are such task as; surface saturation limits, structural load limits, drag reduction constraints or actuator failures. Most transport aircraft have many actuated surfaces compared to the three controlled variables (such as angle of attack, roll rate & angle of side slip). To distribute the control effort among the redundant set of actuators a fixed mixer approach can be utilized or online control allocation techniques. The benefit of an online allocator is that constraints can be considered in the design whereas the fixed mixer cannot. However, an online control allocator mixer has a disadvantage of not guaranteeing a surface schedule, which can then produce ill defined loads on the aircraft. The load uncertainty and complexity has prevented some controller designs from using advanced allocation techniques. This paper considers actuator redundancy management for a class of over actuated systems with real-time structural load limits using linear quadratic tracking applied to the generic transport model. A roll maneuver example of an artificial load limit constraint is shown and compared to the same no load limitation maneuver.
Are peer specialists happy on the job?
Jenkins, Sarah; Chenneville, Tiffany; Salnaitis, Christina
2018-03-01
This study was designed to examine the impact of role clarity and job training on job satisfaction among peer specialists. A 3-part survey assessing job training, job satisfaction, and role clarity was administered online to 195 peer specialists who are members of the International Association of Peer Specialists. Data was analyzed using descriptive statistics, correlational analyses to include multiple linear regressions and analysis of variance. Self-study and online training methods were negatively correlated with job satisfaction while job shadowing was positively correlated with job satisfaction. Role clarity was positively correlated with job satisfaction and job training satisfaction as well as job shadowing and one-on-one training. The use of self-study and online training for peer specialists is contraindicated by current findings, which suggest the need to utilize job shadowing or training methods that allow for personal interaction between peer specialists and their colleagues. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
Disaster loss and social media: Can online information increase flood resilience?
NASA Astrophysics Data System (ADS)
Allaire, Maura C.
2016-09-01
When confronted with natural disasters, individuals around the world increasingly use online resources to become informed of forecasted conditions and advisable actions. This study tests the effectiveness of online information and social media in enabling households to reduce disaster losses. The 2011 Bangkok flood is utilized as a case study since it was one of the first major disasters to affect a substantial population connected to social media. The role of online information is investigated with a mixed methods approach. Both quantitative (propensity score matching) and qualitative (in-depth interviews) techniques are employed. The study relies on two data sources—survey responses from 469 Bangkok households and in-depth interviews with internet users who were a subset of the survey participants. Propensity score matching indicates that social media enabled households to reduce flood losses by an average of 37% (USD 3708 per household), using a nearest neighbor estimator. This reduction is substantial when considering that household flood losses for the matched sample averaged USD 8278. Social media offered information not available from other sources, such as localized and nearly real-time updates of flood location and depth. With this knowledge, households could move belongings to higher ground before floodwaters arrived. These findings suggest that utilizing social media users as sensors could better inform populations during disasters. Overall, the study reveals that online information can enable effective disaster preparedness and reduce losses.
Disaster Loss and Social Media: Can Online Information Increase Flood Resilience?
NASA Astrophysics Data System (ADS)
Allaire, M.
2016-12-01
When confronted with natural disasters, individuals around the world increasingly use online resources to become informed of forecasted conditions and advisable actions. This study tests the effectiveness of online information and social media in enabling households to reduce disaster losses. The 2011 Bangkok flood is utilized as a case study since it was one of the first major disasters to affect a substantial population connected to social media. The role of online information is investigated with a mixed methods approach. Both quantitative (propensity score matching) and qualitative (in-depth interviews) techniques are employed. The study relies on two data sources - survey responses from 469 Bangkok households and in-depth interviews with twenty-three internet users who are a subset of the survey participants. Propensity score matching indicates that social media enabled households to reduce flood losses by an average of 37% (USD 3,708), using a nearest neighbor estimator. This reduction is massive when considering that total flood losses for the full sample averaged USD 4,903. Social media offered information not available from other sources, such as localized and nearly real-time updates of flood location and depth. With this knowledge, households could move belongings to higher ground before floodwaters arrived. These findings suggest that utilizing social media users as sensors could better inform populations during disasters. Overall, the study reveals that online information can enable effective disaster preparedness and reduce losses.
Chan, Teresa M; Jo, David; Shih, Andrew W; Bhagirath, Vinai C; Castellucci, Lana A; Yeh, Calvin; Thoma, Brent; Tseng, Eric K; de Wit, Kerstin
2018-06-01
Online educational resources are criticized as being teacher-centred, failing to address learner's needs. Needs assessments are an important precursor to inform curriculum development, but these are often overlooked or skipped by developers of online educational resources due to cumbersome measurement tools. Novel methods are required to identify perceived and unperceived learning needs to allow targeted development of learner-centred curricula. To evaluate the feasibility of performing a novel technique dubbed the Massive Online Needs Assessment (MONA) for the purpose of emergency haematology online educational curricular planning, within an online learning community (affiliated with the Free Open Access Medical education movement). An online survey was launched on CanadiEM.org using an embedded Google Forms survey. Participants were recruited using the study website and a social media campaign (utilizing Twitter, Facebook, Blogs, and a poster) targeting a specific online community. Web analytics were used to monitor participation rates in addition to survey responses. The survey was open from 20 September to 10 December 2016 and received 198 complete responses representing 6 medical specialties from 21 countries. Most survey respondents identified themselves as staff physicians (n = 109) and medical trainees (n = 75). We identified 17 high-priority perceived needs, 17 prompted needs, and 10 topics with unperceived needs through our MONA process. A MONA is a feasible, novel method for collecting data on perceived, prompted, and unperceived learning needs to inform an online emergency haematology educational blog. This methodology could be useful to the developers of other online education resources.
Zhang, Zhi-Feng; Gao, Zhan; Liu, Yuan-Yuan; Jiang, Feng-Chun; Yang, Yan-Li; Ren, Yu-Fen; Yang, Hong-Jun; Yang, Kun; Zhang, Xiao-Dong
2012-01-01
Train wheel sets must be periodically inspected for possible or actual premature failures and it is very significant to record the wear history for the full life of utilization of wheel sets. This means that an online measuring system could be of great benefit to overall process control. An online non-contact method for measuring a wheel set's geometric parameters based on the opto-electronic measuring technique is presented in this paper. A charge coupled device (CCD) camera with a selected optical lens and a frame grabber was used to capture the image of the light profile of the wheel set illuminated by a linear laser. The analogue signals of the image were transformed into corresponding digital grey level values. The 'mapping function method' is used to transform an image pixel coordinate to a space coordinate. The images of wheel sets were captured when the train passed through the measuring system. The rim inside thickness and flange thickness were measured and analyzed. The spatial resolution of the whole image capturing system is about 0.33 mm. Theoretic and experimental results show that the online measurement system based on computer vision can meet wheel set measurement requirements.
Discriminative object tracking via sparse representation and online dictionary learning.
Xie, Yuan; Zhang, Wensheng; Li, Cuihua; Lin, Shuyang; Qu, Yanyun; Zhang, Yinghua
2014-04-01
We propose a robust tracking algorithm based on local sparse coding with discriminative dictionary learning and new keypoint matching schema. This algorithm consists of two parts: the local sparse coding with online updated discriminative dictionary for tracking (SOD part), and the keypoint matching refinement for enhancing the tracking performance (KP part). In the SOD part, the local image patches of the target object and background are represented by their sparse codes using an over-complete discriminative dictionary. Such discriminative dictionary, which encodes the information of both the foreground and the background, may provide more discriminative power. Furthermore, in order to adapt the dictionary to the variation of the foreground and background during the tracking, an online learning method is employed to update the dictionary. The KP part utilizes refined keypoint matching schema to improve the performance of the SOD. With the help of sparse representation and online updated discriminative dictionary, the KP part are more robust than the traditional method to reject the incorrect matches and eliminate the outliers. The proposed method is embedded into a Bayesian inference framework for visual tracking. Experimental results on several challenging video sequences demonstrate the effectiveness and robustness of our approach.
Online Low-Rank Representation Learning for Joint Multi-subspace Recovery and Clustering.
Li, Bo; Liu, Risheng; Cao, Junjie; Zhang, Jie; Lai, Yu-Kun; Liua, Xiuping
2017-10-06
Benefiting from global rank constraints, the lowrank representation (LRR) method has been shown to be an effective solution to subspace learning. However, the global mechanism also means that the LRR model is not suitable for handling large-scale data or dynamic data. For large-scale data, the LRR method suffers from high time complexity, and for dynamic data, it has to recompute a complex rank minimization for the entire data set whenever new samples are dynamically added, making it prohibitively expensive. Existing attempts to online LRR either take a stochastic approach or build the representation purely based on a small sample set and treat new input as out-of-sample data. The former often requires multiple runs for good performance and thus takes longer time to run, and the latter formulates online LRR as an out-ofsample classification problem and is less robust to noise. In this paper, a novel online low-rank representation subspace learning method is proposed for both large-scale and dynamic data. The proposed algorithm is composed of two stages: static learning and dynamic updating. In the first stage, the subspace structure is learned from a small number of data samples. In the second stage, the intrinsic principal components of the entire data set are computed incrementally by utilizing the learned subspace structure, and the low-rank representation matrix can also be incrementally solved by an efficient online singular value decomposition (SVD) algorithm. The time complexity is reduced dramatically for large-scale data, and repeated computation is avoided for dynamic problems. We further perform theoretical analysis comparing the proposed online algorithm with the batch LRR method. Finally, experimental results on typical tasks of subspace recovery and subspace clustering show that the proposed algorithm performs comparably or better than batch methods including the batch LRR, and significantly outperforms state-of-the-art online methods.
McInroy, Lauren B.
2016-01-01
Online research methodologies may serve as an important mechanism for population-focused data collection in social work research. Online surveys have become increasingly prevalent in research inquiries with young people and have been acknowledged for their potential in investigating understudied and marginalized populations and subpopulations, permitting increased access to communities that tend to be less visible—and thus often less studied—in offline contexts. Lesbian, gay, bisexual, transgender, and queer (LGBTQ) young people are a socially stigmatized, yet digitally active, youth population whose participation in online surveys has been previously addressed in the literature. Many of the opportunities and challenges of online survey research identified with LGBTQ youths may be highly relevant to other populations of marginalized and hard-to-access young people, who are likely present in significant numbers in the online environment (for example, ethnoracialized youths and low-income youths). In this article, the utility of online survey methods with marginalized young people is discussed, and recommendations for social work research are provided. PMID:27257362
Online CKD education for medical students, residents, and fellows: training in a new era.
Bhasin, Bhavna; Estrella, Michelle M; Choi, Michael J
2013-07-01
CKD and its complications are associated with substantial morbidity and mortality. Studies have highlighted significant deficiencies in resident knowledge and awareness of CKD and its complications. There is a need to improve CKD education through medical school and residency. There is also a need to provide alternatives to traditional teaching methods to meet the challenges of learning in the context of work-hour restrictions and increasing workload among residents and fellows. Internet-based learning resources offer various educational tools, including websites, kidney blogs, online modules, and smartphone applications, which could potentially and efficiently advance CKD knowledge among medical trainees. In this review, we describe several online resources for CKD education that could be useful for medical students, residents, and fellows. Increased awareness of these tools and their utilization may significantly influence and hopefully improve the recognition and management of patients with CKD. Future studies may help evaluate the effectiveness of these online learning methods and their effect on CKD patient outcomes. In addition, in light of increased concern about nephrology workforce issues, the potential for these online tools to augment interest in nephrology careers should be investigated. Copyright © 2013 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.
Intensity compensation for on-line detection of defects on fruit
NASA Astrophysics Data System (ADS)
Wen, Zhiqing; Tao, Yang
1997-10-01
A machine-vision sorting system was developed that utilizes the difference in light reflectance of fruit surfaces to distinguish the defective and good apples. To accommodate to the spherical reflectance characteristics of fruit with curved surface like apple, a spherical transform algorithm was developed that converts the original image to a non-radiant image without losing defective segments on the fruit. To prevent high-quality dark-colored fruit form being classified into the defective class and increase the defect detection rate for light-colored fruit, an intensity compensation method using maximum propagation was used. Experimental results demonstrated the effectiveness of the method based on maximum propagation and spherical transform for on-line detection of defects on apples.
Ginossar, Tamar
2008-01-01
The Internet provides a new modality for health communication by facilitating the creation of virtual communities. These communities have the potential to influence health behavior beyond traditional FTF support groups. This study utilized content analysis of 1,424 e-mail messages posted to 2 online cancer communities to examine uses of these groups. Findings revealed (a) similarities in the content of communication in the 2 virtual communities, (b) gender differences in participation, and (c) differences in utilization of these online groups between patients and family members. These results are discussed in light of the diverse uses of online cancer communities that they reveal, the role of family members in support seeking and provision, and gender communication styles in health computer-mediated communication.
Patterns in Patient Access and Utilization of Online Medical Records: Analysis of MyChart
2018-01-01
Background Electronic patient portals provide a new method for sharing personal medical information with individual patients. Objective Our aim was to review utilization patterns of the largest online patient portal in Canada's largest city. Methods We conducted a 4-year time-trend analysis of aggregated anonymous utilization data of the MyChart patient portal at Sunnybrook Health Sciences Centre in Ontario, Canada, from January 1, 2012, through December 31, 2015. Prespecified analyses examined trends related to day (weekend vs weekday), season (July vs January), year (2012 vs 2015), and an extreme adverse weather event (ice storm of December 20-26, 2013). Primary endpoints included three measures of patient portal activity: registrations, logins, and pageviews. Results We identified 32,325 patients who registered for a MyChart account during the study interval. Time-trend analysis showed no sign of attenuating registrations over time. Logins were frequent, averaged 734 total per day, and showed an increasing trend over time. Pageviews mirrored logins, averaged about 3029 total per day, and equated to about 5 pageviews during the average login. The most popular pageviews were clinical notes, followed by laboratory results and medical imaging reports. All measures of patient activity were lower on weekends compared to weekdays (P<.001) yet showed no significant changes related to seasons or extreme weather. No major security breach, malware attack, or software failure occurred during the study. Conclusions Online patient portals can provide a popular and reliable system for distributing personal medical information to active patients and may merit consideration for hospitals. PMID:29410386
Tan, Sin Yee; Hatah, Ernieda
2017-04-01
Background Research utilization is part of evidence-based practice referring to the process of reviewing and critiquing scientific research and applying the findings to one's own clinical practice. Many studies on research utilization have been conducted with doctors and nurses, but to our knowledge, none have been investigated amongst pharmacists. Objective To assess research utilization and its barriers among pharmacists and identify potential influencing factors. Setting Malaysia. Methods This cross-sectional survey was administered online and by mail to a convenient sample of pharmacists working in hospitals, health clinics, and retail pharmacies in rural and urban areas. Main outcome measure Pharmacists' research utilization knowledge, attitudes, and practices. Results Six hundred surveys were mailed to potential respondents, and 466 were returned (77.7% response rate). Twenty-eight respondents completed the survey online. The respondents' research utilization knowledge, attitudes, and practices were found to be moderate. Research utilization was associated with respondents' knowledge and attitude scores (P < 0.001). When factors related to research utilization were modelled, higher educational level was associated with higher level of research utilization (P < 0.001) while less involvement in journal clubs, more years of service (3-7 years and more than 7 years) were associated with low and moderate research utilization, respectively. The main reported barrier to research utilization was lack of sufficient authority to change patient care procedures. Conclusion Pharmacists' research utilization knowledge, attitudes, and practices can be improved by encouraging pharmacists to pursue higher degrees, promoting active participation in institutions' journal clubs, and introducing senior clinical pharmacist specialization.
NASA Astrophysics Data System (ADS)
Krishnan, M.; Bhowmik, B.; Hazra, B.; Pakrashi, V.
2018-02-01
In this paper, a novel baseline free approach for continuous online damage detection of multi degree of freedom vibrating structures using Recursive Principal Component Analysis (RPCA) in conjunction with Time Varying Auto-Regressive Modeling (TVAR) is proposed. In this method, the acceleration data is used to obtain recursive proper orthogonal components online using rank-one perturbation method, followed by TVAR modeling of the first transformed response, to detect the change in the dynamic behavior of the vibrating system from its pristine state to contiguous linear/non-linear-states that indicate damage. Most of the works available in the literature deal with algorithms that require windowing of the gathered data owing to their data-driven nature which renders them ineffective for online implementation. Algorithms focussed on mathematically consistent recursive techniques in a rigorous theoretical framework of structural damage detection is missing, which motivates the development of the present framework that is amenable for online implementation which could be utilized along with suite experimental and numerical investigations. The RPCA algorithm iterates the eigenvector and eigenvalue estimates for sample covariance matrices and new data point at each successive time instants, using the rank-one perturbation method. TVAR modeling on the principal component explaining maximum variance is utilized and the damage is identified by tracking the TVAR coefficients. This eliminates the need for offline post processing and facilitates online damage detection especially when applied to streaming data without requiring any baseline data. Numerical simulations performed on a 5-dof nonlinear system under white noise excitation and El Centro (also known as 1940 Imperial Valley earthquake) excitation, for different damage scenarios, demonstrate the robustness of the proposed algorithm. The method is further validated on results obtained from case studies involving experiments performed on a cantilever beam subjected to earthquake excitation; a two-storey benchscale model with a TMD and, data from recorded responses of UCLA factor building demonstrate the efficacy of the proposed methodology as an ideal candidate for real time, reference free structural health monitoring.
Use of Communication and Technology among Educational Professionals and Families
ERIC Educational Resources Information Center
Natale, Kirstin; Lubniewski, Kathryn
2018-01-01
This study explored the perspectives of elementary school families and their preferences in communicating with their child's teacher. The researchers utilized an online survey method which was distributed to the families of one elementary school. Survey questions included areas of communication patterns, perceptions, and advice for improvement…
Jia, Li; Liu, Yaling; Du, Yanyan; Xing, Da
2007-06-22
A pressurized capillary electrochromatography (pCEC) system was developed for the separation of water-soluble vitamins, in which UV absorbance was used as the detection method and a monolithic silica-ODS column as the separation column. The parameters (type and content of organic solvent in the mobile phase, type and concentration of electrolyte, pH of the electrolyte buffer, applied voltage and flow rate) affecting the separation resolution were evaluated. The combination of two on-line concentration techniques, namely, solvent gradient zone sharpening effect and field-enhanced sample stacking, was utilized to improve detection sensitivity, which proved to be beneficial to enhance the detection sensitivity by enabling the injection of large volumes of samples. Coupling electrokinetic injection with the on-line concentration techniques was much more beneficial for the concentration of positively charged vitamins. Comparing with the conventional injection mode, the enhancement in the detection sensitivities of water-soluble vitamins using the on-line concentration technique is in the range of 3 to 35-fold. The developed pCEC method was applied to evaluate water-soluble vitamins in corns.
Offline and online capillary electrophoresis enzyme assays of β-N-acetylhexosaminidase.
Křížek, Tomáš; Doubnerová, Veronika; Ryšlavá, Helena; Coufal, Pavel; Bosáková, Zuzana
2013-03-01
Enzyme assays of β-N-acetylhexosaminidase from Aspergillus oryzae using capillary electrophoresis in the offline and online setup have been developed. The pH value and concentration of the borate-based background electrolyte were optimized in order to achieve baseline separation of N,N',N″-triacetylchitotriose, N,N'-diacetylchitobiose, and N-acetyl-D-glucosamine. The optimized method using 25 mM tetraborate buffer, pH 10.0, was evaluated in terms of repeatability, limits of detection, quantification, and linearity. The method was successfully applied to the offline enzyme assay of β-N-acetylhexosaminidase, which was demonstrated by monitoring the hydrolysis of N,N',N″-triacetylchitotriose. The presented method was also utilized to study the pH dependence of enzyme activity. An online assay with N,N'-diacetylchitobiose as a substrate was developed using the Transverse Diffusion of Laminar Flow Profiles model to optimize the injection sequence and in-capillary mixing of substrate and enzyme plugs. The experimental results were in good agreement with predictions of the model. The online assay was successfully used to observe the inhibition effect of N,N'-dimethylformamide on the activity of β-N-acetylhexosaminidase with nanoliter volumes of reagents used per run and a high degree of automation. After adjustment of background electrolyte pH, an online assay with N,N',N″-triacetylchitotriose as a substrate was also performed.
Van Stee, Stephanie K; Yang, Qinghua
2017-10-30
This study applied the comprehensive model of information seeking (CMIS) to online cancer information and extended the model by incorporating an exogenous variable: interest in online health information exchange with health providers. A nationally representative sample from the Health Information National Trends Survey 4 Cycle 4 was analyzed to examine the extended CMIS in predicting online cancer information seeking. Findings from a structural equation model supported most of the hypotheses derived from the CMIS, as well as the extension of the model related to interest in online health information exchange. In particular, socioeconomic status, beliefs, and interest in online health information exchange predicted utility. Utility, in turn, predicted online cancer information seeking, as did information-carrier characteristics. An unexpected but important finding from the study was the significant, direct relationship between cancer worry and online cancer information seeking. Theoretical and practical implications are discussed.
Fuzzy Neuron: Method and Hardware Realization
NASA Technical Reports Server (NTRS)
Krasowski, Michael J.; Prokop, Norman F.
2014-01-01
This innovation represents a method by which single-to-multi-input, single-to-many-output system transfer functions can be estimated from input/output data sets. This innovation can be run in the background while a system is operating under other means (e.g., through human operator effort), or may be utilized offline using data sets created from observations of the estimated system. It utilizes a set of fuzzy membership functions spanning the input space for each input variable. Linear combiners associated with combinations of input membership functions are used to create the output(s) of the estimator. Coefficients are adjusted online through the use of learning algorithms.
WEB-BASED DATABASE ON RENEWAL TECHNOLOGIES ...
As U.S. utilities continue to shore up their aging infrastructure, renewal needs now represent over 43% of annual expenditures compared to new construction for drinking water distribution and wastewater collection systems (Underground Construction [UC], 2016). An increased understanding of renewal options will ultimately assist drinking water utilities in reducing water loss and help wastewater utilities to address infiltration and inflow issues in a cost-effective manner. It will also help to extend the service lives of both drinking water and wastewater mains. This research effort involved collecting case studies on the use of various trenchless pipeline renewal methods and providing the information in an online searchable database. The overall objective was to further support technology transfer and information sharing regarding emerging and innovative renewal technologies for water and wastewater mains. The result of this research is a Web-based, searchable database that utility personnel can use to obtain technology performance and cost data, as well as case study references. The renewal case studies include: technologies used; the conditions under which the technology was implemented; costs; lessons learned; and utility contact information. The online database also features a data mining tool for automated review of the technologies selected and cost data. Based on a review of the case study results and industry data, several findings are presented on tren
Big Data on a Smaller Scale: A Social Media Analytics Assignment
ERIC Educational Resources Information Center
Fischbach, Sarah; Zarzosa, Jennifer
2018-01-01
It is truly important for students to understand how to monitor online marketing buzz. This assignment, social media analytics, utilizes the content analysis research method to build student's in-depth understanding on how to evaluate and interpret user-generated content (UGC) to create social media campaigns. The authors adapted Resnik and…
ERIC Educational Resources Information Center
Farley, Gregory Charles
2010-01-01
Since 1996, K-12 schools are increasingly moving from a traditional, face-to-face educational environment to an online learning environment utilizing technologies to deliver instruction primarily via the Internet. As this trend continues, administrators familiar with traditional supervisory methods will observe and evaluate teachers of online…
Rehabilitation Professionals' Participation Intensity and Expectations of Transition Roles
ERIC Educational Resources Information Center
Oertle, Kathleen Marie
2009-01-01
In this mixed-methods study, an on-line survey and interviews were utilized to gather data regarding the level of participation and expectations rehabilitation professionals have of teachers, youth with disabilities, parents, and themselves during the transition process. The survey response rate was 73.0% (N = 46). Six were selected for interviews…
Course Management Systems and Blended Learning: An Innovative Learning Approach
ERIC Educational Resources Information Center
Chou, Amy Y.; Chou, David C.
2011-01-01
This article utilizes Rogers' innovation-decision process model (2003) and Beckman and Berry's innovation process model (2007) to create an innovative learning map that illustrates three learning methods (i.e., face-to-face learning, online learning, and blended learning) in two types of innovation (i.e., incremental innovation and radical…
Tejwani, Rohit; Wang, Hsin-Hsiao S; Lloyd, Jessica C; Kokorowski, Paul J; Nelson, Caleb P; Routh, Jonathan C
2017-03-01
The advent of online task distribution has opened a new avenue for efficiently gathering community perspectives needed for utility estimation. Methodological consensus for estimating pediatric utilities is lacking, with disagreement over whom to sample, what perspective to use (patient vs parent) and whether instrument induced anchoring bias is significant. We evaluated what methodological factors potentially impact utility estimates for vesicoureteral reflux. Cross-sectional surveys using a time trade-off instrument were conducted via the Amazon Mechanical Turk® (https://www.mturk.com) online interface. Respondents were randomized to answer questions from child, parent or dyad perspectives on the utility of a vesicoureteral reflux health state and 1 of 3 "warm-up" scenarios (paralysis, common cold, none) before a vesicoureteral reflux scenario. Utility estimates and potential predictors were fitted to a generalized linear model to determine what factors most impacted utilities. A total of 1,627 responses were obtained. Mean respondent age was 34.9 years. Of the respondents 48% were female, 38% were married and 44% had children. Utility values were uninfluenced by child/personal vesicoureteral reflux/urinary tract infection history, income or race. Utilities were affected by perspective and were higher in the child group (34% lower in parent vs child, p <0.001, and 13% lower in dyad vs child, p <0.001). Vesicoureteral reflux utility was not significantly affected by the presence or type of time trade-off warm-up scenario (p = 0.17). Time trade-off perspective affects utilities when estimated via an online interface. However, utilities are unaffected by the presence, type or absence of warm-up scenarios. These findings could have significant methodological implications for future utility elicitations regarding other pediatric conditions. Copyright © 2017 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.
Yang, Xiong; Liu, Derong; Wang, Ding; Wei, Qinglai
2014-07-01
In this paper, a reinforcement-learning-based direct adaptive control is developed to deliver a desired tracking performance for a class of discrete-time (DT) nonlinear systems with unknown bounded disturbances. We investigate multi-input-multi-output unknown nonaffine nonlinear DT systems and employ two neural networks (NNs). By using Implicit Function Theorem, an action NN is used to generate the control signal and it is also designed to cancel the nonlinearity of unknown DT systems, for purpose of utilizing feedback linearization methods. On the other hand, a critic NN is applied to estimate the cost function, which satisfies the recursive equations derived from heuristic dynamic programming. The weights of both the action NN and the critic NN are directly updated online instead of offline training. By utilizing Lyapunov's direct method, the closed-loop tracking errors and the NN estimated weights are demonstrated to be uniformly ultimately bounded. Two numerical examples are provided to show the effectiveness of the present approach. Copyright © 2014 Elsevier Ltd. All rights reserved.
Real-Time Tracking by Double Templates Matching Based on Timed Motion History Image with HSV Feature
Li, Zhiyong; Li, Pengfei; Yu, Xiaoping; Hashem, Mervat
2014-01-01
It is a challenge to represent the target appearance model for moving object tracking under complex environment. This study presents a novel method with appearance model described by double templates based on timed motion history image with HSV color histogram feature (tMHI-HSV). The main components include offline template and online template initialization, tMHI-HSV-based candidate patches feature histograms calculation, double templates matching (DTM) for object location, and templates updating. Firstly, we initialize the target object region and calculate its HSV color histogram feature as offline template and online template. Secondly, the tMHI-HSV is used to segment the motion region and calculate these candidate object patches' color histograms to represent their appearance models. Finally, we utilize the DTM method to trace the target and update the offline template and online template real-timely. The experimental results show that the proposed method can efficiently handle the scale variation and pose change of the rigid and nonrigid objects, even in illumination change and occlusion visual environment. PMID:24592185
Development, evaluation, and utility of a peer evaluation form for online teaching.
Gaskamp, Carol D; Kintner, Eileen
2014-01-01
Formative assessment of teaching by peers is an important component of quality improvement for educators. Teaching portfolios submitted for promotion and tenure are expected to include peer evaluations. Faculty resources designed for peer evaluation of classroom teaching are often inadequate for evaluating online teaching. The authors describe development, evaluation, and utility of a new peer evaluation form for formative assessment of online teaching deemed relevant, sound, feasible, and beneficial.
Kendrick, B S; Kerwin, B A; Chang, B S; Philo, J S
2001-12-15
Characterizing the solution structure of protein-polymer conjugates and protein-ligand interactions is important in fields such as biotechnology and biochemistry. Size-exclusion high-performance liquid chromatography with online classical light scattering (LS), refractive index (RI), and UV detection offers a powerful tool in such characterization. Novel methods are presented utilizing LS, RI, and UV signals to rapidly determine the degree of conjugation and the molecular mass of the protein conjugate. Baseline resolution of the chromatographic peaks is not required; peaks need only be sufficiently separated to represent relatively pure fractions. An improved technique for determining the polypeptide-only mass of protein conjugates is also described. These techniques are applied to determining the degree of erythropoietin glycosylation, the degree of polyethylene glycol conjugation to RNase A and brain-derived neurotrophic factor, and the solution association states of these molecules. Calibration methods for the RI, UV, and LS detectors will also be addressed, as well as online methods to determine protein extinction coefficients and dn/dc values both unconjugated and conjugated protein molecules. (c)2001 Elsevier Science.
Use of online recruitment strategies in a randomized trial of cancer survivors.
Juraschek, Stephen P; Plante, Timothy B; Charleston, Jeanne; Miller, Edgar R; Yeh, Hsin-Chieh; Appel, Lawrence J; Jerome, Gerald J; Gayles, Debra; Durkin, Nowella; White, Karen; Dalcin, Arlene; Hermosilla, Manuel
2018-04-01
Despite widespread Internet adoption, online advertising remains an underutilized tool to recruit participants into clinical trials. Whether online advertising is a cost-effective method to enroll participants compared to other traditional forms of recruitment is not known. Recruitment for the Survivorship Promotion In Reducing IGF-1 Trial, a community-based study of cancer survivors, was conducted from June 2015 through December 2016 via in-person community fairs, advertisements in periodicals, and direct postal mailings. In addition, "Right Column" banner ads were purchased from Facebook to direct participants to the Survivorship Promotion In Reducing IGF-1 Trial website. Response rates, costs of traditional and online advertisements, and demographic data were determined and compared across different online and traditional recruitment strategies. Micro-trials optimizing features of online advertisements were also explored. Of the 406 respondents to our overall outreach efforts, 6% (24 of 406) were referred from online advertising. Facebook advertisements were shown over 3 million times (impressions) to 124,476 people, which resulted in 4401 clicks on our advertisement. Of these, 24 people ultimately contacted study staff, 6 underwent prescreening, and 4 enrolled in the study. The cost of online advertising per enrollee was $794 when targeting a general population versus $1426 when accounting for strategies that specifically targeted African Americans or men. By contrast, community fairs, direct mail, or periodicals cost $917, $799, or $436 per enrollee, respectively. Utilization of micro-trials to assess online ads identified subtleties (e.g. use of an advertisement title) that substantially impacted viewer interest in our trial. Online advertisements effectively directed a relevant population to our website, which resulted in new enrollees in the Survivorship Promotion In Reducing IGF-1 Trial at a cost comparable to traditional methods. Costs were substantially greater with online recruitment when targeting under-represented populations, however. Additional research using online micro-trial tools is needed to evaluate means of more precise recruitment to improve yields in under-represented groups. Potential gains from faster recruitment speed remain to be determined.
A computer program for the localization of small areas in roentgenological images
NASA Technical Reports Server (NTRS)
Keller, R. A.; Baily, N. A.
1976-01-01
A method and associated algorithm are presented which allow a simple and accurate determination to be made of the location of small symmetric areas presented in roentgenological images. The method utilizes an operator to visually spot object positions but eliminates the need for critical positioning accuracy on the operator's part. The rapidity of measurement allows results to be evaluated on-line. Parameters associated with the algorithm have been analyzed, and methods to facilitate an optimum choice for any particular experimental setup are presented.
Research-Based Online Course Development for Special Education Teacher Preparation
ERIC Educational Resources Information Center
Johnson, Lewis R.
2004-01-01
Distance education utilizing online courses has emerged as an area of program development for many teacher education programs. Online course learning management systems, such as Blackboard.com, have made putting a course online a relatively simple task; however, in many cases, the online course is little more than a correspondence course with a…
Determinants of Student Satisfaction in Online Tutorial: A Study of A Distance Education Institution
ERIC Educational Resources Information Center
Harsasi, Meirani; Sutawijaya, Adrian
2018-01-01
Education system nowadays tends to utilize online learning, including in higher education. Online learning system becomes a major requirement in implementing learning process, including in Indonesia. Universitas Terbuka has implemented online learning system known as online tutorials to support the distance learning system. One interesting issue…
Response to Intervention for Gifted Students: Implementation by Classroom Teachers in Colorado
ERIC Educational Resources Information Center
Nichols, Leslie
2012-01-01
The purpose of this study was to examine the level of implementation that preK-12 regular classroom teachers have achieved in using the educational innovation Response to Intervention (RTI) to deliver gifted education services in Colorado. The methodology used was a mixed methods approach utilizing the online Stages of Concern Questionnaire,…
ERIC Educational Resources Information Center
Wu, Pin-hsiang Natalie; Kawamura, Michelle
2014-01-01
With a growing demand for learning English and a trend of utilizing computers in education, methods that can achieve the effectiveness of computer-mediated communication (CMC) to support language learning in higher education have been examined. However, second language factors manipulate both the process and production of CMC and, therefore,…
ERIC Educational Resources Information Center
Meredith, David C.
2017-01-01
This study investigated whether use of the Achieve 3000 differentiated reading internet program correlated with increased incidence of ELL students achieving proficiency and/or with improvement in reading and literacy scores. It also examined attitudes among district ELL teachers. Results supported DI and CALL methods as instructional approaches.…
Leadership Styles of Nursing Home Administrators and Their Association with Staff Turnover
ERIC Educational Resources Information Center
Donoghue, Christopher; Castle, Nicholas G.
2009-01-01
Purpose: The purpose of this study was to examine the associations between nursing home administrator (NHA) leadership style and staff turnover. Design and Methods: We analyzed primary data from a survey of 2,900 NHAs conducted in 2005. The Online Survey Certification and Reporting database and the Area Resource File were utilized to extract…
Automatic Artifact Removal from Electroencephalogram Data Based on A Priori Artifact Information.
Zhang, Chi; Tong, Li; Zeng, Ying; Jiang, Jingfang; Bu, Haibing; Yan, Bin; Li, Jianxin
2015-01-01
Electroencephalogram (EEG) is susceptible to various nonneural physiological artifacts. Automatic artifact removal from EEG data remains a key challenge for extracting relevant information from brain activities. To adapt to variable subjects and EEG acquisition environments, this paper presents an automatic online artifact removal method based on a priori artifact information. The combination of discrete wavelet transform and independent component analysis (ICA), wavelet-ICA, was utilized to separate artifact components. The artifact components were then automatically identified using a priori artifact information, which was acquired in advance. Subsequently, signal reconstruction without artifact components was performed to obtain artifact-free signals. The results showed that, using this automatic online artifact removal method, there were statistical significant improvements of the classification accuracies in both two experiments, namely, motor imagery and emotion recognition.
Automatic Artifact Removal from Electroencephalogram Data Based on A Priori Artifact Information
Zhang, Chi; Tong, Li; Zeng, Ying; Jiang, Jingfang; Bu, Haibing; Li, Jianxin
2015-01-01
Electroencephalogram (EEG) is susceptible to various nonneural physiological artifacts. Automatic artifact removal from EEG data remains a key challenge for extracting relevant information from brain activities. To adapt to variable subjects and EEG acquisition environments, this paper presents an automatic online artifact removal method based on a priori artifact information. The combination of discrete wavelet transform and independent component analysis (ICA), wavelet-ICA, was utilized to separate artifact components. The artifact components were then automatically identified using a priori artifact information, which was acquired in advance. Subsequently, signal reconstruction without artifact components was performed to obtain artifact-free signals. The results showed that, using this automatic online artifact removal method, there were statistical significant improvements of the classification accuracies in both two experiments, namely, motor imagery and emotion recognition. PMID:26380294
Methodology to model the energy and greenhouse gas emissions of electronic software distributions.
Williams, Daniel R; Tang, Yinshan
2012-01-17
A new electronic software distribution (ESD) life cycle analysis (LCA) methodology and model structure were constructed to calculate energy consumption and greenhouse gas (GHG) emissions. In order to counteract the use of high level, top-down modeling efforts, and to increase result accuracy, a focus upon device details and data routes was taken. In order to compare ESD to a relevant physical distribution alternative, physical model boundaries and variables were described. The methodology was compiled from the analysis and operational data of a major online store which provides ESD and physical distribution options. The ESD method included the calculation of power consumption of data center server and networking devices. An in-depth method to calculate server efficiency and utilization was also included to account for virtualization and server efficiency features. Internet transfer power consumption was analyzed taking into account the number of data hops and networking devices used. The power consumed by online browsing and downloading was also factored into the model. The embedded CO(2)e of server and networking devices was proportioned to each ESD process. Three U.K.-based ESD scenarios were analyzed using the model which revealed potential CO(2)e savings of 83% when ESD was used over physical distribution. Results also highlighted the importance of server efficiency and utilization methods.
Impact of Online Discussions on Web Based Assessments
ERIC Educational Resources Information Center
Powell, Loreen M.; Wimmer, Hayden; Kilgus, Lawrence; Force, Christina
2017-01-01
The practice of including online discussion posts to traditional courses is increasing. Online discussions allow for active learning to occur as students express their ideas and respond to others. The time and thought provided by online discussion posts allows students to utilize higher level cognitive skills. Web-based assessments are another…
Factors Affecting Quality Discourse and Knowledge Construction in an Online University Course
ERIC Educational Resources Information Center
Sutton, Lourdes M.
2012-01-01
Asynchronous discussion boards are an important element of online courses in higher education settings. Currently, questions persist about the quality of online interaction and discussions in which students are engaged. In addition, online instructors may not be utilizing instructional strategies that are appropriate for web-based learning…
Yasmin, Seema; Pogreba-Brown, Kristen; Stewart, Jennifer; Sunenshine, Rebecca
2014-01-01
An outbreak of gastrointestinal (GI) illness among retirement community residents was reported to the Maricopa County Department of Public Health. Online surveys can be useful for rapid investigation of disease outbreaks, especially when local health departments lack time and resources to perform telephone interviews. Online survey utility among older populations, which may lack computer access or literacy, has not been defined. To investigate and implement prevention measures for a GI outbreak and assess the utility of an online survey among retirement community residents. A retrospective cohort investigation was conducted using an online survey distributed through the retirement community e-mail listserv; a follow-up telephone survey was conducted to assess computer literacy and Internet access. A case was defined as any GI illness occurring among residents during March 1-14, 2012. A barbecue in a retirement community of 3000 residents. Retirement community residents. Residents were directed to discard leftover food and seek health care for symptoms. A telephone survey was conducted to assess the utility of online surveys in this population. Computer literacy and Internet access of retirement community residents. Of 1000 residents on the listserv, 370 (37%) completed the online survey (mean age, 69.7 years; 60.6% women); 66 residents (17.8%) reported a GI illness after the barbecue, 63 (95.5%) reported diarrhea, and 5 (7.6%) reported vomiting. Leftover beef from an attendee's refrigerator grew Clostridium perfringens. Of 552 residents contacted by telephone, 113 completed the telephone survey (mean age, 71.3 years; 63.3% women), 101 (89.4%) reported the ability to send e-mail, 82 (81.2%) checked e-mail daily, and 28 (27.7%) checked e-mail on a handheld device. The attack rate was 17.8% for online versus 2.7% for telephone respondents (P < .001). This outbreak demonstrated the utility of an online survey to rapidly collect information and implement prevention measures among an older demographic.
ERIC Educational Resources Information Center
Cronley, Courtney; Madden, Elissa; Davis, Jaya; Preble, Kathleen
2014-01-01
The current study (N = 209) explored service-learning utilization in social work education by examining the influence of personal and institutional characteristics, perceived barriers, and beliefs about service-learning outcomes. Results of an online survey of social work educators showed that neither personal nor institutional characteristics…
Improving the Development and Implementation of Online Courses: A Student's Perspective
ERIC Educational Resources Information Center
Benson, Damien D.; Jenny, Seth E.
2017-01-01
As distance education continues to be utilized by higher learning institutions, many struggle in knowing how to effectively utilize tools for the benefit of the students, faculty and staff facilitating online courses, distance education departments, and the university as a whole. This paper will highlight survey and interview results from…
NASA Astrophysics Data System (ADS)
Krishnan, M.; Bhowmik, B.; Tiwari, A. K.; Hazra, B.
2017-08-01
In this paper, a novel baseline free approach for continuous online damage detection of multi degree of freedom vibrating structures using recursive principal component analysis (RPCA) in conjunction with online damage indicators is proposed. In this method, the acceleration data is used to obtain recursive proper orthogonal modes in online using the rank-one perturbation method, and subsequently utilized to detect the change in the dynamic behavior of the vibrating system from its pristine state to contiguous linear/nonlinear-states that indicate damage. The RPCA algorithm iterates the eigenvector and eigenvalue estimates for sample covariance matrices and new data point at each successive time instants, using the rank-one perturbation method. An online condition indicator (CI) based on the L2 norm of the error between actual response and the response projected using recursive eigenvector matrix updates over successive iterations is proposed. This eliminates the need for offline post processing and facilitates online damage detection especially when applied to streaming data. The proposed CI, named recursive residual error, is also adopted for simultaneous spatio-temporal damage detection. Numerical simulations performed on five-degree of freedom nonlinear system under white noise and El Centro excitations, with different levels of nonlinearity simulating the damage scenarios, demonstrate the robustness of the proposed algorithm. Successful results obtained from practical case studies involving experiments performed on a cantilever beam subjected to earthquake excitation, for full sensors and underdetermined cases; and data from recorded responses of the UCLA Factor building (full data and its subset) demonstrate the efficacy of the proposed methodology as an ideal candidate for real-time, reference free structural health monitoring.
Effects of Website Interactivity on Online Retail Shopping Behavior
NASA Astrophysics Data System (ADS)
Islam, Hafizul
Motivations to engage in retail online shopping can include both utilitarian and hedonic shopping dimensions. To cater to these consumers, online retailers can create a cognitively and esthetically rich shopping environment, through sophisticated levels of interactive web utilities and features, offering not only utilitarian benefits and attributes but also providing hedonic benefits of enjoyment. Since the effect of interactive websites has proven to stimulate online consumer’s perceptions, this study presumes that websites with multimedia rich interactive utilities and features can influence online consumers’ shopping motivations and entice them to modify or even transform their original shopping predispositions by providing them with attractive and enhanced interactive features and controls, thus generating a positive attitude towards products and services offered by the retailer. This study seeks to explore the effects of Web interactivity on online consumer behavior through an attitudinal model of technology acceptance.
Druce, Maralyn; Howden, Stella
2017-07-01
The growth of e-learning in health professional education reflects expansion of personal use of online resources. Understanding the user perspective in a fast-changing digital world is essential to maintain the currency of our approach. Mixed methods were used to investigate a cohort of postgraduate, e-learning healthcare students' perspectives on their use of online resources for personal and/or professional roles, via questionnaire and student-constructed diagrams, capturing use of online resources (underpinned by White's model of "resident" and "visitor" online engagement). Semistructured interviews explored the use and value of resources afforded via the online environment. The 45 study participants described a range of prior experiences with online resources in personal and professional capacities, but overall students tended to use online "tools" ("visitor" mode) rather than highly collaborative networks ("resident" mode). In relation to e-learning, the dominant interview theme was valuing knowledge transfer from the tutor and using "visitor" behaviors to maximize knowledge acquisition. Peer-learning opportunities were less valued and barriers to collaborative "resident" modes were identified. These findings help to inform e-learning course design to promote engagement. The results enable recommendations for use of the "Visitor and Residents" model and for planning activities that learners might utilize effectively.
Utilizing Online Connectivity to Combat Reduced Federal Spending
NASA Astrophysics Data System (ADS)
Mayall, T.
2013-12-01
With a diminishing grant pool and increasing competition for federal funding, utilizing free online resources to collaborate with other scientists, share information and insights, and promote your research is critical to success. As budgets tighten, efficient use of both time and money is becoming more and more important. Tools such as Mendeley, ResearchGate, and Science Exchange enable scientists to promote their own work while gaining valuable connections and collaborations. Additionally, scientists can build their online presence to increase visibility for potential funding. Through intelligent use of these online tools, scientists can increase their chances of funding and minimize wasted time and resources. For this session, I will examine how to adapt to the changing landscape of federal funding through the effective use of social media and online tools.
The Policy Framework for Online Charter Schools
ERIC Educational Resources Information Center
Pazhouh, Rosa; Lake, Robin; Miller, Larry
2015-01-01
Online charter schools, charter schools that primarily utilize remote online instruction, have been both popular and controversial. As of October 2015, fully online charter schools operate in 26 (soon to be 27) states and enrolled approximately 200,000 students in the 2013-14 school year, comprising over 8 percent of all public charter school…
Examining the Elements of Online Learning Quality in a Fully Online Doctoral Program
ERIC Educational Resources Information Center
Templeton, Nathan R.; Ballenger, Julia N.; Thompson, J. Ray
2015-01-01
The purpose of this descriptive quantitative study was to examine the quality elements of online learning in a regional doctoral program. Utilizing the six quality dimensions of Hathaway's (2009) theory of online learning quality as a framework, the study investigated instructor-learner, learner-learner, learner-content, learner-interface,…
Extension Online: Utilizing Technology to Enhance Educational Outreach
ERIC Educational Resources Information Center
Green, Stephen
2012-01-01
Extension Online is an Internet-based online course platform that enables the Texas AgriLife Extension Service's Family Development and Resource Management (FDRM) unit to reach tens of thousands of users across the U.S. annually with research-based information. This article introduces readers to Extension Online by describing the history of its…
Promoting Undergraduate Student Self-Regulation in Online Learning Environments
ERIC Educational Resources Information Center
Wandler, J. Brad; Imbriale, William J.
2017-01-01
Undergraduate student enrollment in online courses has steadily increased over the years and is expected to continue for the foreseeable future. The need for instructors to utilize best practices in online instruction and course design is crucial. This article presents strategies for online instructors to promote student use of self-regulated…
A Novel Deployment Method for Communication-Intensive Applications in Service Clouds
Liu, Chuanchang; Yang, Jingqi
2014-01-01
The service platforms are migrating to clouds for reasonably solving long construction periods, low resource utilizations, and isolated constructions of service platforms. However, when the migration is conducted in service clouds, there is a little focus of deploying communication-intensive applications in previous deployment methods. To address this problem, this paper proposed the combination of the online deployment and the offline deployment for deploying communication-intensive applications in service clouds. Firstly, the system architecture was designed for implementing the communication-aware deployment method for communication-intensive applications in service clouds. Secondly, in the online-deployment algorithm and the offline-deployment algorithm, service instances were deployed in an optimal cloud node based on the communication overhead which is determined by the communication traffic between services, as well as the communication performance between cloud nodes. Finally, the experimental results demonstrated that the proposed methods deployed communication-intensive applications effectively with lower latency and lower load compared with existing algorithms. PMID:25140331
A novel deployment method for communication-intensive applications in service clouds.
Liu, Chuanchang; Yang, Jingqi
2014-01-01
The service platforms are migrating to clouds for reasonably solving long construction periods, low resource utilizations, and isolated constructions of service platforms. However, when the migration is conducted in service clouds, there is a little focus of deploying communication-intensive applications in previous deployment methods. To address this problem, this paper proposed the combination of the online deployment and the offline deployment for deploying communication-intensive applications in service clouds. Firstly, the system architecture was designed for implementing the communication-aware deployment method for communication-intensive applications in service clouds. Secondly, in the online-deployment algorithm and the offline-deployment algorithm, service instances were deployed in an optimal cloud node based on the communication overhead which is determined by the communication traffic between services, as well as the communication performance between cloud nodes. Finally, the experimental results demonstrated that the proposed methods deployed communication-intensive applications effectively with lower latency and lower load compared with existing algorithms.
[Determination of trace amounts of zinc in nickel electrolyte by flow injection on-line enrichment].
Zhou, Z; Wang, Y; Dong, Z; Tong, K; Guo, X; Guo, X
1999-10-01
A method for the determination of trace amount of zinc in nickel electrolyte utilizing the flow injection on-line enrichment technique is reported in this paper. Atomic absorption spectrometer was used as detector. Zinc was separated from large amounts of nickel andother components in the electrolyte by absorption its chlorocomplex on a mini-column packed with strongly basic anion exchangers. It was found that sodium chloride containing in the electrolyte offered a sufficient chloride concentration needed for the formation of the zinc chlorocomplex and thus no additional reagent was required for the determination. The throughput of the method is 30 determinations per hour. The detection limit of the method is 0.002 microg x mL(-1) and the precision is 1.9% (RSD). The proposed method is rapid and cost-effective. It has been used for almost three years in the quality control of the electrolyte in the factory with great success.
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.
ERIC Educational Resources Information Center
Moore-Adams, Brianne L.; Jones, W. Monty; Cohen, Jonathan
2016-01-01
There is a growing need for qualified online instructors to teach the expanding population of online K-12 students. To meet this need, teachers must be provided learning opportunities to acquire the specific types of knowledge and skills necessary to teach online. In this systematic review of the literature, we utilize the TPACK framework to…
ERIC Educational Resources Information Center
Adelstein, David; Barbour, Michael K.
2017-01-01
Within the K-12 online learning environment there are a variety of standards that designers can utilize when creating online courses. To date, the only research-based standards available are proprietary in manner. As such, many jurisdictions have begun adopting online course design standards from the leading advocacy organization, which that have…
Winkelman, Warren J; Leonard, Kevin J
2004-01-01
There are constraints embedded in medical record structure that limit use by patients in self-directed disease management. Through systematic review of the literature from a critical perspective, four characteristics that either enhance or mitigate the influence of medical record structure on patient utilization of an electronic patient record (EPR) system have been identified: environmental pressures, physician centeredness, collaborative organizational culture, and patient centeredness. An evaluation framework is proposed for use when considering adaptation of existing EPR systems for online patient access. Exemplars of patient-accessible EPR systems from the literature are evaluated utilizing the framework. From this study, it appears that traditional information system research and development methods may not wholly capture many pertinent social issues that arise when expanding access of EPR systems to patients. Critically rooted methods such as action research can directly inform development strategies so that these systems may positively influence health outcomes.
Online stochastic optimization of radiotherapy patient scheduling.
Legrain, Antoine; Fortin, Marie-Andrée; Lahrichi, Nadia; Rousseau, Louis-Martin
2015-06-01
The effective management of a cancer treatment facility for radiation therapy depends mainly on optimizing the use of the linear accelerators. In this project, we schedule patients on these machines taking into account their priority for treatment, the maximum waiting time before the first treatment, and the treatment duration. We collaborate with the Centre Intégré de Cancérologie de Laval to determine the best scheduling policy. Furthermore, we integrate the uncertainty related to the arrival of patients at the center. We develop a hybrid method combining stochastic optimization and online optimization to better meet the needs of central planning. We use information on the future arrivals of patients to provide an accurate picture of the expected utilization of resources. Results based on real data show that our method outperforms the policies typically used in treatment centers.
Utilization and acceptance of virtual patients in veterinary basic sciences - the vetVIP-project.
Kleinsorgen, Christin; Kankofer, Marta; Gradzki, Zbigniew; Mandoki, Mira; Bartha, Tibor; von Köckritz-Blickwede, Maren; Naim, Hassan Y; Beyerbach, Martin; Tipold, Andrea; Ehlers, Jan P
2017-01-01
Context: In medical and veterinary medical education the use of problem-based and cased-based learning has steadily increased over time. At veterinary faculties, this development has mainly been evident in the clinical phase of the veterinary education. Therefore, a consortium of teachers of biochemistry and physiology together with technical and didactical experts launched the EU-funded project "vetVIP", to create and implement veterinary virtual patients and problems for basic science instruction. In this study the implementation and utilization of virtual patients occurred at the veterinary faculties in Budapest, Hannover and Lublin. Methods: This report describes the investigation of the utilization and acceptance of students studying veterinary basic sciences using optional online learning material concurrently to regular biochemistry and physiology didactic instruction. The reaction of students towards this offer of clinical case-based learning in basic sciences was analysed using quantitative and qualitative data. Quantitative data were collected automatically within the chosen software-system CASUS as user-log-files. Responses regarding the quality of the virtual patients were obtained using an online questionnaire. Furthermore, subjective evaluation by authors was performed using a focus group discussion and an online questionnaire. Results: Implementation as well as usage and acceptance varied between the three participating locations. High approval was documented in Hannover and Lublin based upon the high proportion of voluntary students (>70%) using optional virtual patients. However, in Budapest the participation rate was below 1%. Due to utilization, students seem to prefer virtual patients and problems created in their native language and developed at their own university. In addition, the statement that assessment drives learning was supported by the observation that peak utilization was just prior to summative examinations. Conclusion: Veterinary virtual patients in basic sciences can be introduced and used for the presentation of integrative clinical case scenarios. Student post-course comments also supported the conclusion that overall the virtual cases increased their motivation for learning veterinary basic sciences.
Online medical care: the current state of "eVisits" in acute primary care delivery.
Hickson, Ryan; Talbert, Jeffery; Thornbury, William C; Perin, Nathan R; Goodin, Amie J
2015-02-01
Online technologies offer the promise of an efficient, improved healthcare system. Patients benefit from increased access to care, physicians are afforded greater flexibility in care delivery, and the health system itself benefits from lower costs to provide such care. One method of incorporating online care into clinical practice, called electronic office visits or "eVisits," allows physicians to provide a consultation with patients online. We performed an analysis of the current published literature on eVisits as well as present emerging research describing the use of mobile platforms as the delivery model. We focused on the role of eVisits in acute primary care practice. A literature review was conducted using electronic databases with a variety of search terms related to the use of eVisits in primary care. Several advantages to eVisit utilization in the primary care setting were identified, namely, improvements in efficiency, continuity of care, quality of care, and access to care. Barriers to eVisit implementation were also identified, including challenges with incorporation into workflow, reimbursement, physician technological literacy, patient health literacy, overuse, security, confidentiality, and integration with existing medical technologies. Only one study of patient satisfaction with eVisit acute primary care services was identified, and this suggests that previous analyses of eVisit utilization are lacking this key component of healthcare service delivery evaluations. The delivery of primary care via eVisits on mobile platforms is still in adolescence, with few methodologically rigorous analyses of outcomes of efficiency, patient health, and satisfaction.
Motion-Blurred Particle Image Restoration for On-Line Wear Monitoring
Peng, Yeping; Wu, Tonghai; Wang, Shuo; Kwok, Ngaiming; Peng, Zhongxiao
2015-01-01
On-line images of wear debris contain important information for real-time condition monitoring, and a dynamic imaging technique can eliminate particle overlaps commonly found in static images, for instance, acquired using ferrography. However, dynamic wear debris images captured in a running machine are unavoidably blurred because the particles in lubricant are in motion. Hence, it is difficult to acquire reliable images of wear debris with an adequate resolution for particle feature extraction. In order to obtain sharp wear particle images, an image processing approach is proposed. Blurred particles were firstly separated from the static background by utilizing a background subtraction method. Second, the point spread function was estimated using power cepstrum to determine the blur direction and length. Then, the Wiener filter algorithm was adopted to perform image restoration to improve the image quality. Finally, experiments were conducted with a large number of dynamic particle images to validate the effectiveness of the proposed method and the performance of the approach was also evaluated. This study provides a new practical approach to acquire clear images for on-line wear monitoring. PMID:25856328
Online Exhibits & Concept Maps
NASA Astrophysics Data System (ADS)
Douma, M.
2009-12-01
Presenting the complexity of geosciences to the public via the Internet poses a number of challenges. For example, utilizing various - and sometimes redundant - Web 2.0 tools can quickly devour limited time. Do you tweet? Do you write press releases? Do you create an exhibit or concept map? The presentation will provide participants with a context for utilizing Web 2.0 tools by briefly highlighting methods of online scientific communication across several dimensions. It will address issues of: * breadth and depth (e.g. from narrow topics to well-rounded views), * presentation methods (e.g. from text to multimedia, from momentary to enduring), * sources and audiences (e.g. for experts or for the public, content developed by producers to that developed by users), * content display (e.g. from linear to non-linear, from instructive to entertaining), * barriers to entry (e.g. from an incumbent advantage to neophyte accessible, from amateur to professional), * cost and reach (e.g. from cheap to expensive), and * impact (e.g. the amount learned, from anonymity to brand awareness). Against this backdrop, the presentation will provide an overview of two methods of online information dissemination, exhibits and concept maps, using the WebExhibits online museum (www.webexhibits.org) and SpicyNodes information visualization tool (www.spicynodes.org) as examples, with tips on how geoscientists can use either to communicate their science. Richly interactive online exhibits can serve to engage a large audience, appeal to visitors with multiple learning styles, prompt exploration and discovery, and present a topic’s breadth and depth. WebExhibits, which was among the first online museums, delivers interactive information, virtual experiments, and hands-on activities to the public. While large, multidisciplinary exhibits on topics like “Color Vision and Art” or “Calendars Through the Ages” require teams of scholars, user interface experts, professional writers and editors, teachers, artists, and web designers, a smaller scale collaborative effort can result in an effective mini-exhibit. Online concept maps can present a large quantity of information in bite-size chunks, demonstrating interrelationships between pieces of information without inundating visitors. SpicyNodes uses radial mapping technology to enable visitors to learn about a topic or search for information in intuitive and organic ways. This online concept mapping tool can be used as a portal to invite exploration into topics, or as a means of displaying hierarchies of information. With nodes that contain text, audio, video, and links, interactive online concept maps especially engage visual, kinesthetic, and nonlinear learners. SpicyNodes is also useful for scientists who wish to complement papers, chapters, and books with an online interface that is especially appealing to nonlinear learners. Essentially, SpicyNodes shifts the burden of discovery from the reader to the author. For example, the author may create a nodemap on climate change with hundreds of nodes, but as visitors drill through the nodemap for information (e.g. from climate change to atmospheric gases to carbon dioxide), they see only a few nodes at a time and are not overwhelmed.
Tailor-made resealable micro(bio)reactors providing easy integration of in situ sensors
NASA Astrophysics Data System (ADS)
Viefhues, Martina; Sun, Shiwen; Valikhani, Donya; Nidetzky, Bernd; Vrouwe, Elwin X.; Mayr, Torsten; Bolivar, Juan M.
2017-06-01
Flow microreactors utilizing immobilized enzymes are of great interest in biocatalysis development. Most of the common devices are permanently closed, single-use systems, which allow limited physical and chemical surface modifications and evaluation methods. In this paper we will present resealable flowcells that overcome these limitations and moreover allow a quick and easy integration of sensor systems, because of the use of modular building blocks. The devices were utilized to study the enzyme activity of glucose oxidase immobilized on chemically modified glass surfaces under flow conditions, employing integrated optical oxygen sensors for on-line monitoring.
Scaffolding Self-Regulated Learning Online: A Study in High School Mathematics Classrooms
ERIC Educational Resources Information Center
Kereluik, Kristen Marie
2013-01-01
This research explores the implementation and utilization of self-regulated learning (SRL) scaffolds (i.e. videos, journals, surveys) in online K-12 courses. This project is grounded in research on online education as well as theory and research around self-regulated learning in both online and offline contexts. This research is conducted through…
Exploring Learner's Patterns of Using the Online Course Tool in University Classes
ERIC Educational Resources Information Center
Yamamoto, Yoshihiko; Usami, Akinori
2015-01-01
Online course tools such as WebCT or Manaba+R are popularly used in university classes and enhance learners' understanding of their course contents. In addition, teachers try to utilize these online course tools for their students such as giving their students online discussions, providing students with additional materials and so forth. However,…
Glegg, Stephanie M N; Livingstone, Roslyn; Montgomery, Ivonne
2016-01-01
Lack of time, competencies, resources and supports are documented as barriers to evidence-based practice (EBP). This paper introduces a recently developed web-based toolkit designed to assist interprofessional clinicians in implementing EBP within a paediatric rehabilitation setting. EBP theory, models, frameworks and tools were applied or adapted in the development of the online resources, which formed the basis of a larger support strategy incorporating interactive workshops, knowledge broker facilitation and mentoring. The highly accessed toolkit contains flowcharts with embedded information sheets, resources and templates to streamline, quantify and document outcomes throughout the EBP process. Case examples relevance to occupational therapy and physical therapy highlight the utility and application of the toolkit in a clinical paediatric setting. Workshops were highly rated by learners for clinical relevance, presentation level and effectiveness. Eight evidence syntheses have been created and 79 interventions have been evaluated since the strategy's inception in January 2011. The toolkit resources streamlined and supported EBP processes, promoting consistency in quality and presentation of outputs. The online toolkit can be a useful tool to facilitate clinicians' use of EBP in order to meet the needs of the clients and families whom they support. Implications for Rehabilitation A comprehensive online EBP toolkit for interprofessional clinicians is available to streamline the EBP process and to support learning needs regardless of competency level. Multi-method facilitation support, including interactive education, e-learning, clinical librarian services and knowledge brokering, is a valued but cost-restrictive supplement to the implementation of online EBP resources. EBP resources are not one-size-fits-all; targeted appraisal tools, models and frameworks may be integrated to improve their utility for specific sectors, which may limit them for others.
Moore, Lora
2017-10-01
Implementation of evidence-based practice (EBP) at the bedside has been difficult to achieve. Significant gaps between current research and actual practice have been identified and must be addressed in effort to increase utilization of EBP. The purpose of this study was to evaluate the efficacy of an online EBP educational intervention and to examine the relationship between educational preparation and years of nursing experience on nurses' practice, attitudes, and knowledge and skills of EBP. An experimental pretest-posttest design study with three randomized groups utilizing the EBPQ instrument was conducted. No significant differences were noted in EBPQ subscale scores of practice, attitude, or knowledge and skills from pre- to posttest. In addition, no statistical difference in EBPQ subscale scores regarding educational preparation or years of experience were noted. While nurses report positive attitudes toward EBP, their perceptions of practice and knowledge and skills score much lower. Educational interventions are needed for practicing nurses to overcome this knowledge deficit to successfully implement EBP. However, the use of online, independent, computer-based learning modules, while cost-efficient and offer several benefits when educating nurses, may not necessarily be the most effective method for teaching EBP knowledge and skills to practicing nurses. © 2017 Sigma Theta Tau International.
ERIC Educational Resources Information Center
Arnesen, Ketil; Korpas, Guri Sivertsen; Hennissen, Jon Eirik; Stav, John Birger
2013-01-01
This paper describes use of an online Student Response System (SRS) in a pre-qualification course for engineering studies in Norway. The SRS in use, where students answer quizzes using handheld mobile devices like Smartphones, PADs, iPods etc., has been developed at Sor-Trondelag University College. The development of the SRS was co-funded by the …
David Nicholls; Frank Barnes; Felicia Acrea; Chinling Chen; Lara Y. Buluç; Michele M. Parker
2015-01-01
Federal agencies are mandated to measure, manage, and reduce greenhouse gas (GHG) emissions. The General Services Administration (GSA) Carbon Footprint Tool (CFT) is an online tool built to utilize measured GHG inventories to help Forest Service units streamline reporting and make informed decisions about operational efficiency. In fiscal year 2013, the Forest Service...
Value Creation in Online Communities for Educators
ERIC Educational Resources Information Center
Booth, Sharon E.; Kellogg, Shaun B.
2015-01-01
The popularity and pervasiveness of online communities have led researchers and practitioners alike to closely examine the utility of online communities for supporting and facilitating professional learning. As economic constraints leave fewer resources available for professional development, educators in particular are examining the potential of…
2000-01-01
To address important problems and needed changes in online and retrospective drug utilization review (DUR) programs. Emphasis is placed on reliability of DUR criteria and the shift of traditional retrospective DUR programs toward disease management and health care outcomes. Published literature evaluating the role of online and retrospective DUR programs. Particular attention was given to studies assessing DUR criteria reliability and new interventions with retrospective DUR programs. A literature review was conducted along with an expert summary from the U.S. Pharmacopeia Drug Utilization Review Advisory Panel. Studies have revealed variations in DUR criteria that could be affecting clinical practice and patient care. Appropriate formal methodologies and use of consistent procedures in developing online prospective DUR programs and systems could help resolve these problems. Traditional retrospective DUR is also shifting to incorporate disease management and methodologies from health outcomes and pharmacoeconomics studies. Refinements are needed to improve the reliability and validity of online DUR criteria and to minimize false positive messages. Databases created as a result of DUR efforts have been used in new and innovative ways to incorporate health outcomes data and disease management interventions. Additional outcomes data, combined with quality assurance efforts, should increase the utility of DUR/disease management efforts in evaluating health systems while improving the effectiveness and efficiency of pharmacists' health care interventions.
Bao, Yukun; Hoque, Rakibul; Wang, Shiyu
2017-06-01
The increasing number of older people and the dissemination of health information via the Internet have emerged and both are challenging to Chinese society. Available online health information highlights the importance of decision making processes, specially in relation to the elderly who almost have no online presence and depend on their adult children's help. The researchers mostly focus on parents' health information search for their children, however, they overlook the adult children's intention to use online health information for their aged parents. This study fills this gap by extending the Theory of Planned Behavior (TPB) to identify the determinants of adult children's intention to use online health information for their aged parents. Relying on survey method, the data were collected from teachers and students at different participating Universities in Wuhan, China. The Partial Least Squares (PLS), a structural equation modeling technique, was employed to test the research model. This study found that attitude, subjective norm, perceived behavioral control and risk (p<0.05) were the predictors of intention to use online health information, whereas, trust (p>0.05) was not listed among the predictors. This study is a significant addition to the literature, in that it confirms the utility of the TPB with additional variables in predicting adults' children intention to use online health information for their aged parents. Copyright © 2017 Elsevier B.V. All rights reserved.
Online learning for faculty development: a review of the literature.
Cook, David A; Steinert, Yvonne
2013-11-01
With the growing presence of computers and Internet technologies in personal and professional lives, it seems prudent to consider how online learning has been and could be harnessed to promote faculty development. Discuss advantages and disadvantages of online faculty development, synthesize what is known from studies involving health professions faculty members, and identify next steps for practice and future research. We searched MEDLINE for studies describing online instruction for developing teaching, leadership, and research skills among health professions faculty, and synthesized these in a narrative review. We found 20 articles describing online faculty development initiatives for health professionals, including seven quantitative comparative studies, four studies utilizing defined qualitative methods, and nine descriptive studies reporting anecdotal lessons learned. These programs addressed diverse topics including clinical teaching, educational assessment, business administration, financial planning, and research skills. Most studies enrolled geographically-distant learners located in different cities, provinces, or countries. Evidence suggests that online faculty development is at least comparable to traditional training, but learner engagement and participation is highly variable. It appears that success is more likely when the course addresses a relevant need, facilitates communication and social interaction, and provides time to complete course activities. Although we identified several practical recommendations for success, the evidence base for online faculty development is sparse and insubstantial. Future research should include rigorous, programmatic, qualitative and quantitative investigations to understand the principles that govern faculty member engagement and success.
Quintana, José Benito; Miró, Manuel; Estela, José Manuel; Cerdà, Víctor
2006-04-15
In this paper, the third generation of flow injection analysis, also named the lab-on-valve (LOV) approach, is proposed for the first time as a front end to high-performance liquid chromatography (HPLC) for on-line solid-phase extraction (SPE) sample processing by exploiting the bead injection (BI) concept. The proposed microanalytical system based on discontinuous programmable flow features automated packing (and withdrawal after single use) of a small amount of sorbent (<5 mg) into the microconduits of the flow network and quantitative elution of sorbed species into a narrow band (150 microL of 95% MeOH). The hyphenation of multisyringe flow injection analysis (MSFIA) with BI-LOV prior to HPLC analysis is utilized for on-line postextraction treatment to ensure chemical compatibility between the eluate medium and the initial HPLC gradient conditions. This circumvents the band-broadening effect commonly observed in conventional on-line SPE-based sample processors due to the low eluting strength of the mobile phase. The potential of the novel MSFI-BI-LOV hyphenation for on-line handling of complex environmental and biological samples prior to reversed-phase chromatographic separations was assessed for the expeditious determination of five acidic pharmaceutical residues (viz., ketoprofen, naproxen, bezafibrate, diclofenac, and ibuprofen) and one metabolite (viz., salicylic acid) in surface water, urban wastewater, and urine. To this end, the copolymeric divinylbenzene-co-n-vinylpyrrolidone beads (Oasis HLB) were utilized as renewable sorptive entities in the micromachined unit. The automated analytical method features relative recovery percentages of >88%, limits of detection within the range 0.02-0.67 ng mL(-1), and coefficients of variation <11% for the column renewable mode and gives rise to a drastic reduction in operation costs ( approximately 25-fold) as compared to on-line column switching systems.
Online Learning Programs: Evaluation's Challenging Future
ERIC Educational Resources Information Center
Nord, Derek
2011-01-01
With the vast array of contextual factors, pedagogical approaches, models of implementation, and purposes of education and training related to online learning, educators, learners, and the general public alike are seeking answers regarding utility and effectiveness of online learning. This article identifies and responds to many of the challenges…
Orthopaedic Patient Information on the World Wide Web: An Essential Review.
Cassidy, John Tristan; Baker, Joseph F
2016-02-17
Patients increasingly use the Internet to research health-related issues. Internet content, unlike other forms of media, is not regulated. Although information accessed online can impact patients' opinions and expectations, there is limited information about the quality or readability of online orthopaedic information. PubMed, MEDLINE, and Google Scholar were searched using anatomic descriptors and three title keywords ("Internet," "web," and "online"). Articles examining online orthopaedic information from January 1, 2000, until April 1, 2015, were recorded. Articles were assessed for the number of reviewers evaluating the online material, whether the article examined for a link between authorship and quality, and the use of recognized quality and readability assessment tools. To facilitate a contemporary discussion, only publications since January 1, 2010, were considered for analysis. A total of thirty-eight peer-reviewed articles published since 2010 examining the quality and/or readability of online orthopaedic information were reviewed. For information quality, there was marked variation in the quality assessment methods utilized, the number of reviewers, and the manner of reporting. To date, the majority of examined information is of poor quality. Studies examining readability have focused on pages produced by professional orthopaedic societies. The quality and readability of online orthopaedic information are generally poor. For modern practices to adapt to the Internet and to prevent misinformation, the orthopaedic community should develop high-quality, readable online patient information. Copyright © 2016 by The Journal of Bone and Joint Surgery, Incorporated.
Online hydrogen/deuterium exchange performed in the ion mobility cell of a hybrid mass spectrometer.
Nagy, Kornél; Redeuil, Karine; Rezzi, Serge
2009-11-15
The present paper describes the performance of online, gas-phase hydrogen/deuterium exchange implemented in the ion mobility cell of a quadrupole time-of-flight mass spectrometer. Deuterium oxide and deuterated methanol were utilized to create deuterated vapor that is introduced into the ion mobility region of the mass spectrometer. Hydrogen/deuterium exchange occurs spontaneously in the milliseconds time frame without the need of switching the instrument into ion mobility mode. The exchange was studied in case of low molecular weight molecules and proteins. The observed number of exchanged hydrogens was equal to the number of theoretically exchangeable hydrogens for all low molecular weight compounds. This method needs only minimal instrumental modifications, is simple, cheap, environment friendly, compatible with ultraperformance liquid chromatography, and can be implemented on commercially available instruments. It does not compromise choice of liquid chromatographic solvents and accurate mass or parallel-fragmentation (MS(E)) methods. The performance of this method was compared to that of conventional alternatives where the deuterated solvent is introduced into the cone gas of the instrument. Although the degree of exchange was similar between the two methods, the "cone gas method" requires 10 times higher deuterated solvent volumes (50 muL/min) and offers reduced sensitivity in the tandem mass spectrometry (MS/MS) mode. The presented method is suggested as a standard future element of mass spectrometers to aid online structural characterization of unknowns and to study conformational changes of proteins with hydrogen/deuterium exchange.
Translating the Science of Measuring Ecosystems at a National Scale: NEON's Online Learning Portal
NASA Astrophysics Data System (ADS)
Wasser, L. A.
2015-12-01
"Big Data" are becoming increasingly common in many fields. The National Ecological Observatory Network (NEON) will collect data over the 30 years, using consistent, standardized methods across the United States. These freely available new data provide an opportunity for increased understanding of continental- and global scale processes such as changes in vegetation structure and condition, biodiversity and landuse. However, while "big data" are becoming more accessible and available, working with big data is challenging. New and potentially unfamiliar data types and associated processing methods, required to work with a growing diversity of available data take time and resources to learn. Analysis of these big datasets may further present a challenge given large file sizes, and uncertainty regarding best methods to properly statistically summarize and analyze results. Finally, resources that support learning these concepts and approaches, are distributed widely across multiple online spaces and may take time to find. This presentation will overview the development of NEON's collaborative University-focused online education portal. It will also cover content testing, community feedback and results from workshops using online content. Portal content is hosted in github to facilitate community input, accessibility version control. Content includes 1) videos and supporting graphics that explain key concepts related to NEON and related big spatio-temporal and 2) data tutorials that include subsets of spatio-temporal data that can be used to learn key big data skills in a self-paced approach, or that can be used as a teaching tool in the classroom or in a workshop. All resources utilize free and open data processing, visualization and analysis tools, techniques and scripts. All NEON materials are being developed in collaboration with the scientific community and are being tested via in-person workshops. Visit the portal online: www.neondataskills.org.
NASA Astrophysics Data System (ADS)
Bang, Eunjin
This two-year study explored changes in practices and the emerging identities of beginning secondary science teachers who participated in an online science specific mentoring program. Fourteen beginning secondary science teachers and six experienced secondary science teachers were selected for the study. As a mixed methods study, data were gathered quantitatively and qualitatively. A hierarchical linear modeling was used in order to depict the changes in inquiry-based science practices as a result of content-focused online mentoring program. Qualitative data were collected via monthly semi-structured interviews, pre, post, and follow-up yearly semi-structured interviews, and finally online written dialogues of beginning secondary science teachers and their e-mentors. A mixed method was used that utilized the results of quantitative data, Items for Inquiry-Based Practice (IBP) scores, helped for selecting cases for qualitative analysis. Results indicated that there were no significant differences in IBP scores among the fourteen beginning secondary science teachers; however, three groups were detected: increasing use, no change, and decreasing use in inquiry-based practices. Porsha, who made increasing use, showed four emerging identities throughout two years: watchful-imitator, seeker, collaborator, and junior-leader. Nora, who made no change, showed only two emerging identities: imitator and seeker. Netty, who made decreasing use, showed also two emerging identities: lonely-follower and feeder. Different identities detected in online dialogue, namely Porsha as a whistleblower, Nora as a watchful-imitator, and Netty as a watchful-feeder. The corresponding responses of three beginning secondary science teachers' e-mentors were defender, provider, listener, pusher and umpire. This study provides not only an in-depth picture of the contemporary science education community of practice but also suggest a roadmap to design an effective induction program.
NASA Astrophysics Data System (ADS)
Tao, Laifa; Lu, Chen; Noktehdan, Azadeh
2015-10-01
Battery capacity estimation is a significant recent challenge given the complex physical and chemical processes that occur within batteries and the restrictions on the accessibility of capacity degradation data. In this study, we describe an approach called dynamic spatial time warping, which is used to determine the similarities of two arbitrary curves. Unlike classical dynamic time warping methods, this approach can maintain the invariance of curve similarity to the rotations and translations of curves, which is vital in curve similarity search. Moreover, it utilizes the online charging or discharging data that are easily collected and do not require special assumptions. The accuracy of this approach is verified using NASA battery datasets. Results suggest that the proposed approach provides a highly accurate means of estimating battery capacity at less time cost than traditional dynamic time warping methods do for different individuals and under various operating conditions.
Stephens, Trevor K; Kong, Nathan J; Dockter, Rodney L; O'Neill, John J; Sweet, Robert M; Kowalewski, Timothy M
2018-06-01
Surgical robots are increasingly common, yet routine tasks such as tissue grasping remain potentially harmful with high occurrences of tissue crush injury due to the lack of force feedback from the grasper. This work aims to investigate whether a blended shared control framework which utilizes real-time identification of the object being grasped as part of the feedback may help address the prevalence of tissue crush injury in robotic surgeries. This work tests the proposed shared control framework and tissue identification algorithm on a custom surrogate surgical robotic grasping setup. This scheme utilizes identification of the object being grasped as part of the feedback to regulate to a desired force. The blended shared control is arbitrated between human and an implicit force controller based on a computed confidence in the identification of the grasped object. The online identification is performed using least squares based on a nonlinear tissue model. Testing was performed on five silicone tissue surrogates. Twenty grasps were conducted, with half of the grasps performed under manual control and half of the grasps performed with the proposed blended shared control, to test the efficacy of the control scheme. The identification method resulted in an average of 95% accuracy across all time samples of all tissue grasps using a full leave-grasp-out cross-validation. There was an average convergence time of [Formula: see text] ms across all training grasps for all tissue surrogates. Additionally, there was a reduction in peak forces induced during grasping for all tissue surrogates when applying blended shared control online. The blended shared control using online identification more successfully regulated grasping forces to the desired target force when compared with manual control. The preliminary work on this surrogate setup for surgical grasping merits further investigation on real surgical tools and with real human tissues.
Stanford Online: The Stanford University Experience with Online Education.
ERIC Educational Resources Information Center
Schultz, Carolyn Stark; Rouan, Michael
This paper describes Stanford Online, a distance learning program at Stanford University (California) that utilizes the concept of asynchronous learning and the growth of the Internet to make Stanford courses, seminars, and lectures available anywhere, any time, and on demand in order to address the continuing education needs of busy…
Increasing Student Engagement in Online Educational Leadership Courses
ERIC Educational Resources Information Center
Deschaine, Mark E.; Whale, David E.
2017-01-01
Utilization of online instruction continues to increase at universities, placing more emphasis on the exploration of issues related to adult graduate student engagement. This reflective case study reviews nontraditional student engagement in online courses. The goals of the study are to enhance student focus, attention, and interaction. Findings…
Social and Virtual Networks: Evaluating Synchronous Online Interviewing Using Instant Messenger
ERIC Educational Resources Information Center
Hinchcliffe, Vanessa; Gavin, Helen
2009-01-01
This paper describes an evaluation of the quality and utility of synchronous online interviewing for data collection in social network research. Synchronous online interviews facilitated by Instant Messenger as the communication medium, were undertaken with ten final year university students. Quantitative and qualitative content analysis of…
The Online Classroom: A Thorough Depiction of Distance Learning Spaces
ERIC Educational Resources Information Center
McKenna, Kelly
2018-01-01
This study investigated the online higher education learning space of a doctoral program offered at a distance. It explored the learning space, the stakeholders, utilization, and creators of the space. Developing a successful online classroom experience that incorporates an engaging environment and dynamic community setting conducive to learning…
Increasing the Success of Online Students
ERIC Educational Resources Information Center
Harrell, Ivan L., II
2008-01-01
The introduction of the Internet has dramatically changed the process of information transmission as well as practically every other aspect of American society, including the higher education system. Many colleges and universities have taken advantage of the utility of the Internet and instituted online courses and online degree and certificate…
Using Online Surveys to Promote and Assess Learning
ERIC Educational Resources Information Center
Taylor, Laura; Doehler, Kirsten
2014-01-01
This article explores the use of online survey software to collect data from students during class to efficiently use class time. Several example activities for an introductory statistics classroom are considered. We also discuss utilization of online survey software for other purposes such as collecting assessment information and student…
Control of discrete event systems modeled as hierarchical state machines
NASA Technical Reports Server (NTRS)
Brave, Y.; Heymann, M.
1991-01-01
The authors examine a class of discrete event systems (DESs) modeled as asynchronous hierarchical state machines (AHSMs). For this class of DESs, they provide an efficient method for testing reachability, which is an essential step in many control synthesis procedures. This method utilizes the asynchronous nature and hierarchical structure of AHSMs, thereby illustrating the advantage of the AHSM representation as compared with its equivalent (flat) state machine representation. An application of the method is presented where an online minimally restrictive solution is proposed for the problem of maintaining a controlled AHSM within prescribed legal bounds.
Kamerling, Cornelis Ph; Fast, Martin F; Ziegenhein, Peter; Menten, Martin J; Nill, Simeon; Oelfke, Uwe
2017-11-01
Firstly, this study provides a real-time implementation of online dose reconstruction for tracked volumetric arc therapy (VMAT). Secondly, this study describes a novel offline quality assurance tool, based on commercial dose calculation algorithms. Online dose reconstruction for VMAT is a computationally challenging task in terms of computer memory usage and calculation speed. To potentially reduce the amount of memory used, we analyzed the impact of beam angle sampling for dose calculation on the accuracy of the dose distribution. To establish the performance of the method, we planned two single-arc VMAT prostate stereotactic body radiation therapy cases for delivery with dynamic MLC tracking. For quality assurance of our online dose reconstruction method we have also developed a stand-alone offline dose reconstruction tool, which utilizes the RayStation treatment planning system to calculate dose. For the online reconstructed dose distributions of the tracked deliveries, we could establish strong resemblance for 72 and 36 beam co-planar equidistant beam samples with less than 1.2% deviation for the assessed dose-volume indicators (clinical target volume D98 and D2, and rectum D2). We could achieve average runtimes of 28-31 ms per reported MLC aperture for both dose computation and accumulation, meeting our real-time requirement. To cross-validate the offline tool, we have compared the planned dose to the offline reconstructed dose for static deliveries and found excellent agreement (3%/3 mm global gamma passing rates of 99.8%-100%). Being able to reconstruct dose during delivery enables online quality assurance and online replanning strategies for VMAT. The offline quality assurance tool provides the means to validate novel online dose reconstruction applications using a commercial dose calculation engine. © 2017 The Authors. Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine.
McGinley, Meagan; Alinia, Hossein; Kuo, Sandy; Huang, Karen E; Feldman, Steven R
2014-12-13
There are no definitive treatments of facial redness for rosacea. All treatments aim to alleviate symptoms. Patients' perspectives of two emerging modalities, Low level light therapy and laser treatments are not well characterized. The purpose is to further understand rosacea patients unmet needs about these modalities, Methods: The publicly accessible, online rosacea forum was accessed at august 2013. Stratified random sampling method has done to identify a 10% sample of total 27,051 posts. The Posts were published in the "Laser and IPL therapy" and "Low level light therapy" forums were qualitatively analyzed. Patients discussed a variety of topics, but most commonly discussed effectiveness (34.2%), treatment education (19.3%), and adverse effects (18%). Relationship with the health care provider (9.9%), cost (8.1%), execution of treatments (8.1%) and convenience of treatments (2.5%) were less commonly discussed, but contributed to patients' decisions about utilizing laser and light therapies. Online forums are utilized to fulfill patients' desire for educational, empathic and collaborative relationship. Patients' adherence to laser and light therapies will likely increase if costs are reduced, reduction in redness is consistent with their expectations, and if physicians empower them through education on device choices and managing adverse effects.
NASA Astrophysics Data System (ADS)
Spevak, Arlene J.
Research in science education has presented investigations and findings related to the significance of particular learning variables. For example, the factors of learning style, learning strategy and motivational orientation have been shown to have considerable impact upon learning in a traditional classroom setting. Although these data have been somewhat generous for the face-to-face learning situation, this does not appear to be the case for distance education, particularly the Internet-based environment. The purpose of this study was to describe the on-line graduate science student, regarding the variables of learning style, learning strategy and motivational orientation. It was believed that by understanding the characteristics of adult science learners and by identifying their learning needs, Web course designers and science educators could create on-line learning programs that best utilized students' strengths in learning science. A case study method using a questionnaire, inventories, telephone interviews and documents was applied to nine graduate science students who participated for ten weeks in an asynchronous, exclusively Internet mediated graduate science course at a large, Northeastern university. Within-case and cross-case analysis indicated that these learners displayed several categories of learning styles as well as learning strategies. The students also demonstrated high levels of both intrinsic and extrinsic motivation, and this, together with varying strategy use, may have compensated for any mismatch between their preferred learning styles and their learning environment. Recommendations include replicating this study in other online graduate science courses, administration of learning style and learning strategy inventories to perspective online graduate science students, incorporation of synchronous communication into on-line science courses, and implementation of appropriate technology that supports visual and kinesthetic learners. Although the study was limited to nine participants, the implications of the findings are clear. Most adult science students experience learning in an on-line environment. Those who are independent, highly motivated learners and utilize a variety of learning strategies can adapt their learning style to the situational aspects of the learning environment. This further indicates that Internet-based graduate science education institutions should become aware of different learning styles and strategies, and be prepared to address this variety when developing and delivering such programming.
NASA Astrophysics Data System (ADS)
Wang, Xing; Sun, Wenliang; Guo, Min; Li, Minjiao; Li, Wan
2018-01-01
The research object of this paper is fine particles in typical region. The construction of component spectrum bank is based on the technology of online source apportionment, then the result of the apportionment is utilized to verify the effectiveness of fine particles component spectrum bank and which also act as the matching basis of online source apportionment receptor sample. On the next, the particle source of air pollution is carried through the matching diagnosis empirical research by utilizing online source apportionment technology, to provide technical support for the cause analysis and treatment of heavy pollution weather.
Higher Education: The Online Teaching and Learning Experience
ERIC Educational Resources Information Center
Barr, Betty A.; Miller, Sonya F.
2013-01-01
Globally, higher education, as well as K-12, utilizes online teaching to ensure that a wide array of learning opportunities are available for students in a highly competitive technological arena. The most significant influence in education in recent years is the increase and recognition of private for-profit adult distance and online education…
Online Resource Utilization in a Hybrid Course in Engineering Graphics
ERIC Educational Resources Information Center
Wiebe, Eric N.; Branoff, Theodore J.; Shreve, Mark A.
2011-01-01
This presentation focuses on an ongoing instructional innovation research and development project centered around the development of a blended, online and face-to-face introductory engineering graphics course. The work presented here is an in-depth analysis of how students make use of the online resources to supplement the instructional support…
Higher Education Faculty Utilization of Online Technological Tools: A Multilevel Analysis
ERIC Educational Resources Information Center
Jackson, Brianne L.
2017-01-01
As online learning and the use of online technological tools in higher education continues to grow exponentially, higher education faculty are expected to incorporate these tools into their instruction. However, many faculty members are reluctant to embrace such tools, for a variety of professional and personal reasons. This study employs survey…
Are You an Online Team Player? A Pilot Study
ERIC Educational Resources Information Center
Rawlings, Melody
2014-01-01
The purpose of this pilot case study was to answer the following research questions: How do previous experiences affect students' attitudes toward online teamwork? When do students' attitudes toward online teamwork first develop and why? Using a social constructivist framework, a qualitative case study design was utilized to conduct an online…
Exploring the Utility of a Video-Based Online EFL Discussion Forum
ERIC Educational Resources Information Center
Huang, Heng-Tsung Danny; Hung, Shao-Ting Alan
2013-01-01
Online discussion forums represent "online collaborative learning spaces in which communities become engaged in the discourse on a topic about which they share common interests or goals" (Montero, Watts & Garcia-Carbonell, 2007, p. 568). This digital communication modality has been claimed to enhance second/foreign language (L2)…
Using Online Case Studies to Enhance Teacher Preparation
ERIC Educational Resources Information Center
Richman, Laila
2015-01-01
The purpose of this study was to assess the impact interactive, online case studies have on learning for preservice teachers. More specifically, it evaluated whether the use of online case studies in instruction could enhance the level of knowledge the preservice teacher gained from the content material. This study utilized a nonequivalent group,…
ERIC Educational Resources Information Center
Akarasriworn, Chatchada; Ku, Heng-Yu
2013-01-01
This study investigated 28 graduate students' knowledge construction and attitudes toward online synchronous videoconferencing collaborative learning environments. These students took an online course, self-selected 3 or 4 group members to form groups, and worked on projects across 16 weeks. Each group utilized Elluminate "Live!" for the…
ERIC Educational Resources Information Center
Berzonsky, William A.; Richardson, Katherine D.
2008-01-01
Accessibility of online scientific literature continues to expand due to the advent of scholarly databases and search engines. Studies have shown that undergraduates favor using online scientific literature to address research questions, but they often do not have the skills to assess the validity of research articles. Undergraduates generally are…
Utilizing Online Exams: A Case Study
ERIC Educational Resources Information Center
Schmidt, Stacy M. P.; Ralph, David L.; Buskirk, Bruce
2009-01-01
Technology has opened a wide range of possibilities for the college classroom. Thus, the classroom has changed in a variety of ways. Some courses have been converted to fully online courses. Students and instructors do not have any face-to-face contact in these courses. Other courses have converted a portion of their courses to online. These…
Milner, Pat; Saul, Jessie E; Pfaff, Lillian
2008-01-01
Background To improve the overall impact (reach × efficacy) of cessation treatments and to reduce the population prevalence of smoking, innovative strategies are needed that increase consumer demand for and use of cessation treatments. Given that 12 million people search for smoking cessation information each year, online advertising may represent a cost-efficient approach to reach and recruit online smokers to treatment. Online ads can be implemented in many forms, and surveys consistently show that consumers are receptive. Few studies have examined the potential of online advertising to recruit smokers to cessation treatments. Objective The aims of the study were to (1) demonstrate the feasibility of online advertising as a strategy to increase consumer demand for cessation treatments, (2) illustrate the tools that can be used to track and evaluate the impact of online advertising on treatment utilization, and (3) highlight some of the methodological challenges and future directions for researchers. Methods An observational design was used to examine the impact of online advertising compared to traditional recruitment approaches (billboards, television and radio ads, outdoor advertising, direct mail, and physician detailing) on several dependent variables: (1) number of individuals who enrolled in Web- or telephone-based cessation treatment, (2) the demographic, smoking, and treatment utilization characteristics of smokers recruited to treatment, and (3) the cost to enroll smokers. Several creative approaches to online ads (banner ads, paid search) were tested on national and local websites and search engines. The comparison group was comprised of individuals who registered for Web-based cessation treatment in response to traditional advertising during the same time period. Results A total of 130,214 individuals responded to advertising during the study period: 23,923 (18.4%) responded to traditional recruitment approaches and 106,291 (81.6%) to online ads. Of those who clicked on an online ad, 9655 (9.1%) registered for cessation treatment: 6.8% (n = 7268) for Web only, 1.1% (n = 1119) for phone only, and 1.2% (n = 1268) for Web and phone. Compared to traditional recruitment approaches, online ads recruited a higher percentage of males, young adults, racial/ethnic minorities, those with a high school education or less, and dependent smokers. Cost-effectiveness analyses compare favorably to traditional recruitment strategies, with costs as low as US $5-$8 per enrolled smoker. Conclusions Developing and evaluating new ways to increase consumer demand for evidence-based cessation services is critical to cost-efficiently reduce population smoking prevalence. Results suggest that online advertising is a promising approach to recruit smokers to Web- and telephone-based cessation interventions. The enrollment rate of 9.1% exceeds most studies of traditional recruitment approaches. The powerful targeting capabilities of online advertising present new opportunities to reach subgroups of smokers who may not respond to other forms of advertising. Online advertising also provides unique evaluation opportunities and challenges to determine rigorously its impact and value. PMID:19073542
Geng, Ping; Fang, Yingtong; Xie, Ronglong; Hu, Weilun; Xi, Xingjun; Chu, Qiao; Dong, Genlai; Shaheen, Nusrat; Wei, Yun
2017-02-01
Sugarcane rind contains some functional phenolic acids. The separation of these compounds from sugarcane rind is able to realize the integrated utilization of the crop and reduce environment pollution. In this paper, a novel protocol based on interfacing online solid-phase extraction with high-speed counter-current chromatography (HSCCC) was established, aiming at improving and simplifying the process of phenolic acids separation from sugarcane rind. The conditions of online solid-phase extraction with HSCCC involving solvent system, flow rate of mobile phase as well as saturated extent of absorption of solid-phase extraction were optimized to improve extraction efficiency and reduce separation time. The separation of phenolic acids was performed with a two-phase solvent system composed of butanol/acetic acid/water at a volume ratio of 4:1:5, and the developed online solid-phase extraction with HSCCC method was validated and successfully applied for sugarcane rind, and three phenolic acids including 6.73 mg of gallic acid, 10.85 mg of p-coumaric acid, and 2.78 mg of ferulic acid with purities of 60.2, 95.4, and 84%, respectively, were obtained from 150 mg sugarcane rind crude extracts. In addition, the three different elution methods of phenolic acids purification including HSCCC, elution-extrusion counter-current chromatography and back-extrusion counter-current chromatography were compared. © 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
An, Lawrence C; Schillo, Barbara A; Saul, Jessie E; Wendling, Ann H; Klatt, Colleen M; Berg, Carla J; Ahulwalia, Jasjit S; Kavanaugh, Annette M; Christenson, Matthew; Luxenberg, Michael G
2008-12-20
The association between greater utilization of Web-assisted tobacco interventions and increased abstinence rates is well recognized. However, there is little information on how utilization of specific website features influences quitting. To determine the association between utilization of informational, interactive, and online community resources (eg. bulletin boards) and abstinence rates, with the broader objective to identify potential strategies for improving outcomes for Web-assisted tobacco interventions. In Spring 2004, a cohort of 607 quitplan.com users consented to participate in an evaluation of quitplan.com, a Minnesota branded version of QuitNet.com. We developed utilization measures for different site features: general information, interactive diagnostic tools and quit planning tools, online expert counseling, passive (ie, reading of bulletin boards) and active (ie, public posting) online community engagement, and one-to-one messaging with other virtual community members. Using bivariate, multivariate, and path analyses, we examined the relationship between utilization of specific site features and 30-day abstinence at 6 months. The most commonly used resources were the interactive quit planning tools (used by 77% of site users). Other informational resources (ie, quitting guides) were used more commonly (60% of users) than passive (38%) or active (24%) community features. Online community engagement through one-to-one messaging was low (11%) as was use of online counseling (5%). The 30-day abstinence rate among study participants at 6 months was 9.7% (95% Confidence Interval [CI] 7.3% - 12.1%). In the logistic regression model, neither the demographic data (eg, age, gender, education level, employment, or insurance status) nor the smoking-related data (eg, cigarettes per day, time to first morning cigarette, baseline readiness to quit) nor use of smoking cessation medications entered the model as significant predictors of abstinence. Individuals who used the interactive quit planning tools once, two to three times, or four or more times had an odds of abstinence of 0.65 (95% Confidence Interval [CI] 0.22 - 1.94), 1.87 (95% CI 0.77 - 4.56), and 2.35 (95% CI 1.0 - 5.58), respectively. The use of one-to-one messages (reference = none vs 1 or more) entered the final model as potential predictor for abstinence, though the significance of this measure was marginal (OR = 1.91, 95% CI 0.92 - 3.97, P = .083). In the path analysis, an apparent association between active online community engagement and abstinence was accounted for in large part by increased use of interactive quitting tools and one-to-one messaging. Use of interactive quitting tools, and perhaps one-to-one messaging with other members of the online community, was associated with increased abstinence rates among quitplan.com users. Designs that facilitate use of these features should be considered.
Bauermeister, José A.; Zimmerman, Marc A.; Johns, Michelle M.; Glowacki, Pietreck; Stoddard, Sarah; Volz, Erik
2012-01-01
Objective: We used a web version of Respondent-Driven Sampling (webRDS) to recruit a sample of young adults (ages 18–24) and examined whether this strategy would result in alcohol and other drug (AOD) prevalence estimates comparable to national estimates (National Survey on Drug Use and Health [NSDUH]). Method: We recruited 22 initial participants (seeds) via Facebook to complete a web survey examining AOD risk correlates. Sequential, incentivized recruitment continued until our desired sample size was achieved. After correcting for webRDS clustering effects, we contrasted our AOD prevalence estimates (past 30 days) to NSDUH estimates by comparing the 95% confidence intervals of prevalence estimates. Results: We found comparable AOD prevalence estimates between our sample and NSDUH for the past 30 days for alcohol, marijuana, cocaine, Ecstasy (3,4-methylenedioxymethamphetamine, or MDMA), and hallucinogens. Cigarette use was lower than NSDUH estimates. Conclusions: WebRDS may be a suitable strategy to recruit young adults online. We discuss the unique strengths and challenges that may be encountered by public health researchers using webRDS methods. PMID:22846248
Winkelman, Warren J.; Leonard, Kevin J.
2004-01-01
There are constraints embedded in medical record structure that limit use by patients in self-directed disease management. Through systematic review of the literature from a critical perspective, four characteristics that either enhance or mitigate the influence of medical record structure on patient utilization of an electronic patient record (EPR) system have been identified: environmental pressures, physician centeredness, collaborative organizational culture, and patient centeredness. An evaluation framework is proposed for use when considering adaptation of existing EPR systems for online patient access. Exemplars of patient-accessible EPR systems from the literature are evaluated utilizing the framework. From this study, it appears that traditional information system research and development methods may not wholly capture many pertinent social issues that arise when expanding access of EPR systems to patients. Critically rooted methods such as action research can directly inform development strategies so that these systems may positively influence health outcomes. PMID:14633932
Hu, Zhongkai; Hao, Shiying; Jin, Bo; Shin, Andrew Young; Zhu, Chunqing; Huang, Min; Wang, Yue; Zheng, Le; Dai, Dorothy; Culver, Devore S; Alfreds, Shaun T; Rogow, Todd; Stearns, Frank; Sylvester, Karl G; Widen, Eric; Ling, Xuefeng
2015-09-22
The increasing rate of health care expenditures in the United States has placed a significant burden on the nation's economy. Predicting future health care utilization of patients can provide useful information to better understand and manage overall health care deliveries and clinical resource allocation. This study developed an electronic medical record (EMR)-based online risk model predictive of resource utilization for patients in Maine in the next 6 months across all payers, all diseases, and all demographic groups. In the HealthInfoNet, Maine's health information exchange (HIE), a retrospective cohort of 1,273,114 patients was constructed with the preceding 12-month EMR. Each patient's next 6-month (between January 1, 2013 and June 30, 2013) health care resource utilization was retrospectively scored ranging from 0 to 100 and a decision tree-based predictive model was developed. Our model was later integrated in the Maine HIE population exploration system to allow a prospective validation analysis of 1,358,153 patients by forecasting their next 6-month risk of resource utilization between July 1, 2013 and December 31, 2013. Prospectively predicted risks, on either an individual level or a population (per 1000 patients) level, were consistent with the next 6-month resource utilization distributions and the clinical patterns at the population level. Results demonstrated the strong correlation between its care resource utilization and our risk scores, supporting the effectiveness of our model. With the online population risk monitoring enterprise dashboards, the effectiveness of the predictive algorithm has been validated by clinicians and caregivers in the State of Maine. The model and associated online applications were designed for tracking the evolving nature of total population risk, in a longitudinal manner, for health care resource utilization. It will enable more effective care management strategies driving improved patient outcomes.
Youth, new media, and HIV/AIDS: determinants of participation in an online health social movement.
Vijaykumar, Santosh; Wray, Ricardo J; Buskirk, Trent; Piplani, Himakshi; Banerjee, Joya; Furdyk, Michael; Pattni, Reshma
2014-07-01
Abstract This paper focuses on the Global Youth Coalition for HIV/AIDS (GYCA), a collaboration of young people who utilize the Internet to organize and inform the global youth HIV/AIDS social movement. We used a trans-disciplinary conceptual framework guided by the diffusion of innovations approach to explore factors that influence online participation among the coalition's members and to explain perceived effects of participation. We used a randomized stratified sampling strategy to conduct an online 7 week survey of GYCA's members (n=275). Descriptive statistics revealed that the majority of participants were from Africa (∼54%) and Asia (∼24%), with an average age of 27 years. Multiple linear regression analyses showed that participation in the e-consultations (R(2)=0.39, p<0.001) was influenced by a greater number of factors compared to the listserv (R(2)=0.20, p<0.001). Online participation significantly influenced perceptions about the coalition's social networking utility (R(2)=0.21, p<0.001). Perceived social networking utility significantly explained perceived effects on program areas such as knowledge sharing (R(2)=0.49, p<0.001), capacity building (R(2)=0.48, p<0.001), and political advocacy (R(2)=0.44, p<0.001). We concluded that a range of factors shapes participation in online health social movements. Initiatives such as GYCA need regular, intensive assessments to understand these factors for better tailoring their online activities to members' needs and for greater impact.
Lin, Andrew H; Cole, Jacob H; Chin, John C; Mahnke, Chirstopher Becket
2016-01-01
Introduction: The Health Experts onLine at Portsmouth teleconsultation system is designed to connect health providers in the Navy Medicine East Region to specialists at Naval Medical Center Portsmouth. Methods: A review of the first year of the Health Experts onLine at Portsmouth system was performed. Data on each teleconsultation were extracted from the Health Experts onLine at Portsmouth system database and analyzed. Results: From June 2014 to May 2015 there have been 585 teleconsultations. Providers stationed on 36 ships/submarines and at 28 remote military treatment facilities have utilized the Health Experts onLine at Portsmouth system. Over 280 specialists in 34 different specialties were consulted. The median time to first response from a specialist was 6 h and 8 min, with 75% of all consults being addressed within 24 h. Eighteen medevacs were recommended. Thirty-nine potential medevacs were prevented, and 100 potential civilian network deferrals were prevented, resulting in an estimated savings of over US$580,000. Discussion: Based on the 1-year metrics, Health Experts onLine at Portsmouth has provided improved access and quality of care to service members and their families throughout the Navy Medicine East Region. It has helped avoid over US$580,000 in unnecessary cost burden. Further review at the 2-year time interval will demonstrate the continued growth and effectiveness of the Health Experts onLine at Portsmouth system. PMID:26985390
Patterns in Patient Access and Utilization of Online Medical Records: Analysis of MyChart.
Redelmeier, Donald A; Kraus, Nicole C
2018-02-06
Electronic patient portals provide a new method for sharing personal medical information with individual patients. Our aim was to review utilization patterns of the largest online patient portal in Canada's largest city. We conducted a 4-year time-trend analysis of aggregated anonymous utilization data of the MyChart patient portal at Sunnybrook Health Sciences Centre in Ontario, Canada, from January 1, 2012, through December 31, 2015. Prespecified analyses examined trends related to day (weekend vs weekday), season (July vs January), year (2012 vs 2015), and an extreme adverse weather event (ice storm of December 20-26, 2013). Primary endpoints included three measures of patient portal activity: registrations, logins, and pageviews. We identified 32,325 patients who registered for a MyChart account during the study interval. Time-trend analysis showed no sign of attenuating registrations over time. Logins were frequent, averaged 734 total per day, and showed an increasing trend over time. Pageviews mirrored logins, averaged about 3029 total per day, and equated to about 5 pageviews during the average login. The most popular pageviews were clinical notes, followed by laboratory results and medical imaging reports. All measures of patient activity were lower on weekends compared to weekdays (P<.001) yet showed no significant changes related to seasons or extreme weather. No major security breach, malware attack, or software failure occurred during the study. Online patient portals can provide a popular and reliable system for distributing personal medical information to active patients and may merit consideration for hospitals. ©Donald A Redelmeier, Nicole C Kraus. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 06.02.2018.
A Proposed Model for Authenticating Knowledge Transfer in Online Discussion Forums
ERIC Educational Resources Information Center
Tucker, Jan P.; YoungGonzaga, Stephanie; Krause, Jaclyn
2014-01-01
Discussion forums are often utilized in the online classroom to build a sense of community, encourage collaboration and exchange, and measure time on task. A review of the literature revealed that there is little research that examines the role of the online discussion forum as a mechanism for knowledge transfer. Researchers reviewed 21 course…
System Resource Allocation Requests | High-Performance Computing | NREL
Account to utilize the online allocation request system. If you need a HPC User Account, please request one online: Visit User Accounts. Click the green "Request Account" Button - this will direct . Follow the online instructions provided in the DocuSign form. Write "Need HPC User Account to use
Developing Online Trust in Electronic Commerce: A Generational Cohort Study in Puerto Rico
ERIC Educational Resources Information Center
Lopez Rivera, Ibrahim
2016-01-01
Developing online trust is crucial for e-commerce vendors in order to attract consumers and develop long-term relationships with existing ones. We intended to investigate if consumers from different generational cohorts differ on how they develop online trust when utilizing e-commerce websites. Through the analysis of empirical data collected from…
ERIC Educational Resources Information Center
Paralejas, Cynthia G.
2013-01-01
This dissertation aimed to understand the influence of cultural patterns on international students' perception and experience with online learning. This case study utilized Hofstede's cultural dimension model as an interpretative framework to understand what are the international students' perceptions and experiences with online courses. Two…
Examining the Influence of Self-Efficacy and Self-Regulation in Online Learning
ERIC Educational Resources Information Center
Bradley, Rachel L.; Browne, Blaine L.; Kelley, Heather M.
2017-01-01
This paper examined self-efficacy and self-regulatory skills and their influence on achievement in an online learning environment. This study utilized the Online Academic Success Indicators Scale (OASIS). The results of the scale were compared to previous tests measuring the predictive nature of self-efficacy and self-regulatory skills on academic…
The Educational Impact of Online Learning: How Do University Students Perform in Subsequent Courses?
ERIC Educational Resources Information Center
Krieg, John M.; Henson, Steven E.
2016-01-01
Using a large student-level dataset from a medium-sized regional comprehensive university, we measure the impact of taking an online prerequisite course on follow-up course grades. To control for self-selection into online courses, we utilize student, instructor, course, and time fixed effects augmented with an instrumental variable approach. We…
Experiences of Faculty with Doctoral Student Supervision in Programs Delivered via Distance
ERIC Educational Resources Information Center
Roumell, Elizabeth A. L.; Bolliger, Doris U.
2017-01-01
Many education doctoral programs offer extensive amounts of coursework online or from a distance utilizing a variety of combinations of course delivery. Given the increase in the number of online programs in recent years, it is reasonable to believe that blended, distance, and online practices will continue to be integrated more widely into…
Social Presence for Different Tasks and Perceived Learning in Online Hospitality Culture Exchange
ERIC Educational Resources Information Center
Wang, Mei-jung; Chen, Hsueh Chu
2013-01-01
This study utilized online discussion and project construction tasks to determine the extent of social presence and collaborative learning for hospitality culture exchange. The online culture exchange lasted for 6 weeks from September to November 2011. Forty-four English majors from a hospitality college in Taiwan and an institute of education in…
Online Learning Environments in Higher Education: Connectivism vs. Dissociation
ERIC Educational Resources Information Center
Reese, Sasha A.
2015-01-01
Over the last decade online education has emerged as a way for students and faculty to collaborate more freely, attain greater flexibility, and utilize new media to learn. The burning debate lies in whether online educational options are harmful to traditional education or offer endless benefits necessary to accommodate a 21st century learner.…
ERIC Educational Resources Information Center
Calhoun, Cheryl D.
2017-01-01
The main goal of this project is to expand cybersecurity curriculum. This was accomplished by developing six new courses. The curriculum for each course utilized a common online course for all class formats including web-enhanced, hybrid, or online. In this article, we will discuss the online components used, faculty professional development, and…
Establishing an Online Community of Inquiry at the Distance Education Centre, Victoria
ERIC Educational Resources Information Center
Jackson, Luke C.; Jackson, Alun C.; Chambers, Dianne
2013-01-01
This pilot intervention focused on three courses that were redesigned to utilize the online environment to establish an online community of inquiry (CoI). The setting for this research study was the Distance Education Centre, Victoria (DECV), an Australian co-educational school with approximately 3000 students who, for a variety of reasons, are…
A Blended Learning Course Design in Clinical Pharmacology for Post-graduate Dental Students
Rosenbaum, Paul-Erik Lillholm; Mikalsen, Øyvind; Lygre, Henning; Solheim, Einar; Schjøtt, Jan
2012-01-01
Postgraduate courses in clinical pharmacology are important for dentists to be updated on drug therapy and information related to their clinical practice, as well as knowledge of relevant adverse effects and interactions. A traditional approach with classroom delivery as the only method to teaching and learning has shortcomings regarding flexibility, individual learning preferences, and problem based learning (PBL) activities compared to online environments. This study examines a five week postgraduate course in clinical pharmacology with 15 hours of lectures and online learning activities, i.e. blended course design. Six postgraduate dental students participated and at the end of the course they were interviewed. Our findings emphasize that a blended learning course design can be successfully used in postgraduate dental education. Key matters for discussion were time flexibility and location convenience, change in teacher’s role, rein-forced learning strategies towards professional needs, scarcity in online communication, and proposed future utilization of e-learning components. PMID:23248716
Adaptive model reduction for continuous systems via recursive rational interpolation
NASA Technical Reports Server (NTRS)
Lilly, John H.
1994-01-01
A method for adaptive identification of reduced-order models for continuous stable SISO and MIMO plants is presented. The method recursively finds a model whose transfer function (matrix) matches that of the plant on a set of frequencies chosen by the designer. The algorithm utilizes the Moving Discrete Fourier Transform (MDFT) to continuously monitor the frequency-domain profile of the system input and output signals. The MDFT is an efficient method of monitoring discrete points in the frequency domain of an evolving function of time. The model parameters are estimated from MDFT data using standard recursive parameter estimation techniques. The algorithm has been shown in simulations to be quite robust to additive noise in the inputs and outputs. A significant advantage of the method is that it enables a type of on-line model validation. This is accomplished by simultaneously identifying a number of models and comparing each with the plant in the frequency domain. Simulations of the method applied to an 8th-order SISO plant and a 10-state 2-input 2-output plant are presented. An example of on-line model validation applied to the SISO plant is also presented.
Fast optimization of glide vehicle reentry trajectory based on genetic algorithm
NASA Astrophysics Data System (ADS)
Jia, Jun; Dong, Ruixing; Yuan, Xuejun; Wang, Chuangwei
2018-02-01
An optimization method of reentry trajectory based on genetic algorithm is presented to meet the need of reentry trajectory optimization for glide vehicle. The dynamic model for the glide vehicle during reentry period is established. Considering the constraints of heat flux, dynamic pressure, overload etc., the optimization of reentry trajectory is investigated by utilizing genetic algorithm. The simulation shows that the method presented by this paper is effective for the optimization of reentry trajectory of glide vehicle. The efficiency and speed of this method is comparative with the references. Optimization results meet all constraints, and the on-line fast optimization is potential by pre-processing the offline samples.
Cantrell, Jennifer; Hair, Elizabeth C; Smith, Alexandria; Bennett, Morgane; Rath, Jessica Miller; Thomas, Randall K; Fahimi, Mansour; Dennis, J Michael; Vallone, Donna
2018-03-01
Evaluation studies of population-based tobacco control interventions often rely on large-scale survey data from numerous respondents across many geographic areas to provide evidence of their effectiveness. Significant challenges for survey research have emerged with the evolving communications landscape, particularly for surveying hard-to-reach populations such as youth and young adults. This study combines the comprehensive coverage of an address-based sampling (ABS) frame with the timeliness of online data collection to develop a nationally representative longitudinal cohort of young people aged 15-21. We constructed an ABS frame, partially supplemented with auxiliary data, to recruit this hard-to-reach sample. Branded and tested mail-based recruitment materials were designed to bring respondents online for screening, consent and surveying. Once enrolled, respondents completed online surveys every 6 months via computer, tablet or smartphone. Numerous strategies were utilized to enhance retention and representativeness RESULTS: Results detail sample performance, representativeness and retention rates as well as device utilization trends for survey completion among youth and young adult respondents. Panel development efforts resulted in a large, nationally representative sample with high retention rates. This study is among the first to employ this hybrid ABS-to-online methodology to recruit and retain youth and young adults in a probability-based online cohort panel. The approach is particularly valuable for conducting research among younger populations as it capitalizes on their increasing access to and comfort with digital communication. We discuss challenges and opportunities of panel recruitment and retention methods in an effort to provide valuable information for tobacco control researchers seeking to obtain representative, population-based samples of youth and young adults in the U.S. as well as across the globe. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.
LABORATORY EVALUATION OF A MICROFLUIDIC ELECTROCHEMICAL SENSOR FOR AEROSOL OXIDATIVE LOAD.
Koehler, Kirsten; Shapiro, Jeffrey; Sameenoi, Yupaporn; Henry, Charles; Volckens, John
2014-05-01
Human exposure to particulate matter (PM) air pollution is associated with human morbidity and mortality. The mechanisms by which PM impacts human health are unresolved, but evidence suggests that PM intake leads to cellular oxidative stress through the generation of reactive oxygen species (ROS). Therefore, reliable tools are needed for estimating the oxidant generating capacity, or oxidative load, of PM at high temporal resolution (minutes to hours). One of the most widely reported methods for assessing PM oxidative load is the dithiothreitol (DTT) assay. The traditional DTT assay utilizes filter-based PM collection in conjunction with chemical analysis to determine the oxidation rate of reduced DTT in solution with PM. However, the traditional DTT assay suffers from poor time resolution, loss of reactive species during sampling, and high limit of detection. Recently, a new DTT assay was developed that couples a Particle-Into-Liquid-Sampler with microfluidic-electrochemical detection. This 'on-line' system allows high temporal resolution monitoring of PM reactivity with improved detection limits. This study reports on a laboratory comparison of the traditional and on-line DTT approaches. An urban dust sample was aerosolized in a laboratory test chamber at three atmospherically-relevant concentrations. The on-line system gave a stronger correlation between DTT consumption rate and PM mass (R 2 = 0.69) than the traditional method (R 2 = 0.40) and increased precision at high temporal resolution, compared to the traditional method.
Goldrick, Stephen; Lee, Kenneth; Spencer, Christopher; Holmes, William; Kuiper, Marcel; Turner, Richard; Farid, Suzanne S
2018-04-01
Glucose control is vital to ensure consistent growth and protein production in mammalian cell cultures. The typical fed-batch glucose control strategy involving bolus glucose additions based on infrequent off-line daily samples results in cells experiencing significant glucose concentration fluctuations that can influence product quality and growth. This study proposes an on-line method to control and manipulate glucose utilizing readily available process measurements. The method generates a correlation between the cumulative oxygen transfer rate and the cumulative glucose consumed. This correlation generates an on-line prediction of glucose that has been successfully incorporated into a control algorithm manipulating the glucose feed-rate. This advanced process control (APC) strategy enables the glucose concentration to be maintained at an adjustable set-point and has been found to significantly reduce the deviation in glucose concentration in comparison to conventional operation. This method has been validated to produce various therapeutic proteins across cell lines with different glucose consumption demands and is successfully demonstrated on micro (15 mL), laboratory (7 L), and pilot (50 L) scale systems. This novel APC strategy is simple to implement and offers the potential to significantly enhance the glucose control strategy for scales spanning micro-scale systems through to full scale industrial bioreactors. © 2018 The Authors. Biotechnology Journal Published by Wiley-VCH Verlag GmbH & Co. KGaA.
ERIC Educational Resources Information Center
Page, Eric; Kulick, Melinda
2016-01-01
This study expanded on prior satisfaction and retention research by exploring this relationship within the online for-profit sector. An ex post facto design was utilized at an online for-profit undergraduate institution with programs in the creative arts to explore the relationship between student satisfaction as measured by the Priorities Survey…
Student Enrollment Patterns and Achievement in Ohio's Online Charter Schools
ERIC Educational Resources Information Center
Ahn, June; McEachin, Andrew
2017-01-01
We utilize state data of nearly 1.7 million students in Ohio to study a specific sector of online education: K-12 schools that deliver most, if not all, education online, lack a brick-and-mortar presence, and enroll students full-time. First, we explore e-school enrollment patterns and how these patterns vary by student subgroups and geography.…
Are On-Line Data Bases in Your Library's Future?
ERIC Educational Resources Information Center
Deacon, Jim
1983-01-01
THE FOLLOWING IS THE FULL TEXT OF THIS DOCUMENT: Today there are over 900 on-line data banks available for public access. Most microcomputers can use them through the aid of a modem and communication program. Major public information utilities that offer access to these on-line data bases are growing and expanding. The Source, a data base utility…
Do the Timeliness, Regularity, and Intensity of Online Work Habits Predict Academic Performance?
ERIC Educational Resources Information Center
Dvorak, Tomas; Jia, Miaoqing
2016-01-01
This study analyzes the relationship between students' online work habits and academic performance. We utilize data from logs recorded by a course management system (CMS) in two courses at a small liberal arts college in the U.S. Both courses required the completion of a large number of online assignments. We measure three aspects of students'…
ERIC Educational Resources Information Center
Amro, Hanan Jamal; Mundy, Marie-Anne; Kupczynski, Lori
2015-01-01
Demand for online learning has increased in recent years due to the convenience of course delivery. However, some students appear to have difficulties with online education resulting in lack of completion. The study utilized a quantitative approach with archival data. The factors of achievement and demographics were compared for face-to-face and…
ERIC Educational Resources Information Center
Long, Lori; Dubois, Cathy; Faley, Robert
2009-01-01
This article examines utilization of online training courses in a Midwest-based landscaping company in the United States. The company had implemented online training to facilitate employee development for their 5,000 employees who were in locations throughout the United States. The courses had been in place for about a decade before the…
ERIC Educational Resources Information Center
Kang, Haijun; Chang, Bo
2016-01-01
There is a lack of shared understanding of how culture impacts learning in online environment. Utilizing document analysis, the authors in this research study culture's impact on the learning behaviors of student sojourners from Confucius culture studying in Western online learning context. The shared understandings of Confucius culture and…
ERIC Educational Resources Information Center
Alshehri, Abdulhalim Ali
2017-01-01
The paper investigates the internet utilizing in online homework accomplishing at Saudi High Schools. The study covered three Saudi cities, namely; Riyadh, Jeddah and Dammam. The paper concerned about the teachers, parents and students perceptions toward using internet in education path with concentration on online home works, and its effect in…
ERIC Educational Resources Information Center
Shotwell, Mary; Apigian, Charles H.
2015-01-01
This study aimed to quantify the influence of student attributes, coursework resources, and online assessments on student learning in business statistics. Surveys were administered to students at the completion of both online and on-ground classes, covering student perception and utilization of internal and external academic resources, as well as…
Hybrid optimal online-overnight charging coordination of plug-in electric vehicles in smart grid
NASA Astrophysics Data System (ADS)
Masoum, Mohammad A. S.; Nabavi, Seyed M. H.
2016-10-01
Optimal coordinated charging of plugged-in electric vehicles (PEVs) in smart grid (SG) can be beneficial for both consumers and utilities. This paper proposes a hybrid optimal online followed by overnight charging coordination of high and low priority PEVs using discrete particle swarm optimization (DPSO) that considers the benefits of both consumers and electric utilities. Objective functions are online minimization of total cost (associated with grid losses and energy generation) and overnight valley filling through minimization of the total load levels. The constraints include substation transformer loading, node voltage regulations and the requested final battery state of charge levels (SOCreq). The main challenge is optimal selection of the overnight starting time (toptimal-overnight,start) to guarantee charging of all vehicle batteries to the SOCreq levels before the requested plug-out times (treq) which is done by simultaneously solving the online and overnight objective functions. The online-overnight PEV coordination approach is implemented on a 449-node SG; results are compared for uncoordinated and coordinated battery charging as well as a modified strategy using cost minimizations for both online and overnight coordination. The impact of toptimal-overnight,start on performance of the proposed PEV coordination is investigated.
Bravender, Terrill; Tulsky, James A.; Farrell, David; Alexander, Stewart C.; Østbye, Truls; Lyna, Pauline; Dolor, Rowena J.; Coffman, Cynthia J.; Bilheimer, Alicia; Lin, Pao-Hwa; Pollak, Kathryn I.
2013-01-01
Objective To describe the theoretical basis, use, and satisfaction with Teen CHAT, an online educational intervention designed to improve physician-adolescent communication about healthy weight. Methods Routine health maintenance encounters between pediatricians and family practitioners and their overweight adolescent patients were audio recorded, and content was coded to summarize adherence with motivational interviewing techniques. An online educational intervention was developed using constructs from social cognitive theory and using personalized audio recordings. Physicians were randomized to the online intervention or not, and completed post-intervention surveys. Results Forty-six physicians were recruited, and 22 physicians were randomized to view the intervention website. The educational intervention took an average of 54 minutes to complete, and most physicians thought it was useful, that they would use newly acquired skills with their patients, and would recommend it to others. Fewer physicians thought it helped them address confidentiality issues with their adolescent patients. Conclusion The Teen CHAT online intervention shows potential for enhancing physician motivational interviewing skills in an acceptable and time-efficient manner. Practice Implications If found to be effective in enhancing motivational interviewing skills and changing adolescent weight-related behaviors, wide dissemination will be feasible and indicated. PMID:24021419
Online fingerprint verification.
Upendra, K; Singh, S; Kumar, V; Verma, H K
2007-01-01
As organizations search for more secure authentication methods for user access, e-commerce, and other security applications, biometrics is gaining increasing attention. With an increasing emphasis on the emerging automatic personal identification applications, fingerprint based identification is becoming more popular. The most widely used fingerprint representation is the minutiae based representation. The main drawback with this representation is that it does not utilize a significant component of the rich discriminatory information available in the fingerprints. Local ridge structures cannot be completely characterized by minutiae. Also, it is difficult quickly to match two fingerprint images containing different number of unregistered minutiae points. In this study filter bank based representation, which eliminates these weakness, is implemented and the overall performance of the developed system is tested. The results have shown that this system can be used effectively for secure online verification applications.
Embedded promotions in online services: how goal-relevance ambiguity shapes response and affect.
Brasel, S Adam
2010-09-01
Adding promotions to online services is increasingly commonplace, yet consumers may have difficulty determining whether service-embedded promotions are goal-relevant, due to the linear and transactional nature of online services. This contextual effect of goal-relevance ambiguity on promotions is explored across three studies. An exploratory study utilizing actual service websites and a broad range of consumers as participants showed promotional elements in online services generated considerable confusion, and instructions labeling promotions as optional did little to relieve goal-relevance ambiguity. A second study using student participants inserted promotions into an online airline ticket service, a shopping site, a local news blog, and a news headline aggregator, to explore how linear and transactional sites such as online services compared to more exploratory or informational online environments. Results showed that service-embedded promotions enjoyed initial compliance far beyond promotions in traditional websites but also generated increased confusion, frustration, and anger. A third study utilizing student participants explored how varying levels of online service experience created differing responses to promotions in services; novices were less able to judge promotional goal-relevance and experienced more confusion, whereas experienced searchers were more likely to respond with frustration and anger. Many participants complied with promotional offers at the time of the service transaction, but stated intentions to use the promotion postservice were very low. The overall results spotlight goal-relevance ambiguity as an important driver of consumer response to online promotions, and highlight the role website context can play in the processing of online promotional elements. PsycINFO Database Record (c) 2010 APA, all rights reserved.
48 CFR 908.7101-2 - Consolidated acquisition of new vehicles by General Services Administration.
Code of Federal Regulations, 2013 CFR
2013-10-01
... GSA's online vehicle purchasing system (AutoChoice). (b) Orders for all motor vehicles shall be submitted utilizing GSA's on-line system (Auto Choice), in accordance with FPMR 41 CFR 101-26.501...
48 CFR 908.7101-2 - Consolidated acquisition of new vehicles by General Services Administration.
Code of Federal Regulations, 2014 CFR
2014-10-01
... GSA's online vehicle purchasing system (AutoChoice). (b) Orders for all motor vehicles shall be submitted utilizing GSA's on-line system (Auto Choice), in accordance with FPMR 41 CFR 101-26.501...
Zhang, Jie; Bai, Ruoshi; Yi, Xiaoli; Yang, Zhendong; Liu, Xingyu; Zhou, Jun; Liang, Wei
2016-01-01
A fully automated method for the detection of four tobacco-specific nitrosamines (TSNAs) in mainstream cigarette smoke (MSS) has been developed. The new developed method is based on two-dimensional online solid-phase extraction-liquid chromatography-tandem mass spectrometry (SPE/LC-MS/MS). The two dimensional SPE was performed in the method utilizing two cartridges with different extraction mechanisms to cleanup disturbances of different polarity to minimize sample matrix effects on each analyte. Chromatographic separation was achieved using a UPLC C18 reversed phase analytical column. Under the optimum online SPE/LC-MS/MS conditions, N'-nitrosonornicotine (NNN), N'-nitrosoanatabine (NAT), N'-nitrosoanabasine (NAB), and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) were baseline separated with good peak shapes. This method appears to be the most sensitive method yet reported for determination of TSNAs in mainstream cigarette smoke. The limits of quantification for NNN, NNK, NAT and NAB reached the levels of 6.0, 1.0, 3.0 and 0.6 pg/cig, respectively, which were well below the lowest levels of TSNAs in MSS of current commercial cigarettes. The accuracy of the measurement of four TSNAs was from 92.8 to 107.3%. The relative standard deviations of intra-and inter-day analysis were less than 5.4% and 7.5%, respectively. The main advantages of the method developed are fairly high sensitivity, selectivity and accuracy of results, minimum sample pre-treatment, full automation, and high throughput. As a part of the validation procedure, the developed method was applied to evaluate TSNAs yields for 27 top-selling commercial cigarettes in China. Copyright © 2015 Elsevier B.V. All rights reserved.
Christopher M. Oswalt; Ted R. Ridley
2015-01-01
Benjamin Franklin once said âTell me and I forget. Teach me and I remember. Involve me and I learn.â It is with that in mind that the Southern Research Station (SRS) Forest Inventory and Analysis (FIA) Program jumps feet first into exploring alternative methods of communicating the knowledge that is discovered through broad-scale data collection of the forest resources...
Examining how gender and emoticons influence Facebook jealousy.
Hudson, Michael B; Nicolas, Sylis C; Howser, Molly E; Lipsett, Kristen E; Robinson, Ian W; Pope, Laura J; Hobby, Abigail F; Friedman, Denise R
2015-02-01
Facebook use among young adults is widespread, and understanding how it affects romantic relationships has practical, real world implications. Both gender and amount of time spent on Facebook have been associated with online jealousy. Emoticons can be used online to clarify messages and are often used in mixed gender interactions. A series of studies was used to examine whether gender and emoticons interacted to influence Facebook jealousy. Interestingly, results differed based on qualitative and quantitative responses. With quantitative responses, a main effect was found only for gender. Females displayed more Facebook jealousy than males. With qualitative responses, an interaction was found. Males were more jealous when a winking emoticon was present, while females were more jealous when no emoticon was present. This research supports evolutionary work in suggesting that specific cues may differentially influence jealousy responses in males and females. It should be mentioned that although differences were noticed, they may be contingent upon the research methods utilized and that mixed methods may best address issues involving jealousy in young adults.
Evaluation of participant recruitment methods to a rare disease online registry.
Johnson, Kimberly J; Mueller, Nancy L; Williams, Katherine; Gutmann, David H
2014-07-01
Internet communication advances provide new opportunities to assemble individuals with rare diseases to online patient registries from wide geographic areas for research. However, there is little published information on the efficacy of different recruitment methods. Here we describe recruitment patterns and the characteristics of individuals with the self-identified autosomal dominant genetic disorder neurofibromatosis type 1 (NF1) who participated in an online patient registry during the 1-year period from 1/1/2012 to 12/31/2012. We employed four main mechanisms to alert potential participants to the registry: (1) Facebook and Google advertising, (2) government and academic websites, (3) patient advocacy groups, and (4) healthcare providers. Participants reported how they first heard about the registry through an online questionnaire. During the 1-year period, 880 individuals participated in the registry from all 50 U.S. States, the District of Columbia, Puerto Rico, and 39 countries. Facebook and Google were reported as referral sources by the highest number of participants (n=550, 72% Facebook), followed by healthcare providers (n=74), and government and academic websites (n=71). The mean participant age was 29±18 years and most participants reported White race (73%) and female sex (62%) irrespective of reported referral source. Internet advertising, especially through Facebook, resulted in efficient enrollment of large numbers of individuals with NF1. Our study demonstrates the potential utility of this approach to assemble individuals with a rare disease from across the world for research studies. © 2014 Wiley Periodicals, Inc.
A continually online-trained neural network controller for brushless DC motor drives
DOE Office of Scientific and Technical Information (OSTI.GOV)
Rubaai, A.; Kotaru, R.; Kankam, M.D.
2000-04-01
In this paper, a high-performance controller with simultaneous online identification and control is designed for brushless dc motor drives. The dynamics of the motor/load are modeled online, and controlled using two different neural network based identification and control schemes, as the system is in operation. In the first scheme, an attempt is made to control the rotor angular speed, utilizing a single three-hidden-layer network. The second scheme attempts to control the stator currents, using a predetermined control law as a function of the estimated states. This schemes incorporates three multilayered feedforward neural networks that are online trained, using the Levenburg-Marquadtmore » training algorithm. The control of the direct and quadrature components of the stator current successfully tracked a wide variety of trajectories after relatively short online training periods. The control strategy adapts to the uncertainties of the motor/load dynamics and, in addition, learns their inherent nonlinearities. Simulation results illustrated that a neurocontroller used in conjunction with adaptive control schemes can result in a flexible control device which may be utilized in a wide range of environments.« less
Identifying e-cigarette vape stores: description of an online search methodology.
Kim, Annice E; Loomis, Brett; Rhodes, Bryan; Eggers, Matthew E; Liedtke, Christopher; Porter, Lauren
2016-04-01
Although the overall impact of Electronic Nicotine Delivery Systems (ENDS) on public health is unclear, awareness, use, and marketing of the products have increased markedly in recent years. Identifying the increasing number of 'vape stores' that specialise in selling ENDS can be challenging given the lack of regulatory policies and licensing. This study assesses the utility of online search methods in identifying ENDS vape stores. We conducted online searches in Google Maps, Yelp, and YellowPages to identify listings of ENDS vape stores in Florida, and used a crowdsourcing platform to call and verify stores that primarily sold ENDS to consumers. We compared store listings generated from the online search and crowdsourcing methodology to list licensed tobacco and ENDS retailers from the Florida Department of Business and Professional Regulation. The combined results from all three online sources yielded a total of 403 ENDS vape stores. Nearly 32.5% of these stores were on the state tobacco licensure list, while 67.5% were not. Accuracy of online results was highest for Yelp (77.6%), followed by YellowPages (77.1%) and Google (53.0%). Using the online search methodology we identified more ENDS vape stores than were on the state tobacco licensure list. This approach may be a promising strategy to identify and track the growth of ENDS vape stores over time, especially in states without a systematic licensing requirement for such stores. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/
Anonymity Versus Privacy: Selective Information Sharing in Online Cancer Communities
Vermeulen, Ivar E; Beekers, Nienke
2014-01-01
Background Active sharing in online cancer communities benefits patients. However, many patients refrain from sharing health information online due to privacy concerns. Existing research on privacy emphasizes data security and confidentiality, largely focusing on electronic medical records. Patient preferences around information sharing in online communities remain poorly understood. Consistent with the privacy calculus perspective adopted from e-commerce research, we suggest that patients approach online information sharing instrumentally, weighing privacy costs against participation benefits when deciding whether to share certain information. Consequently, we argue that patients prefer sharing clinical information over daily life and identity information that potentially compromises anonymity. Furthermore, we explore whether patients’ prior experiences, age, health, and gender affect perceived privacy costs and thus willingness to share information. Objective The goal of the present study is to document patient preferences for sharing information within online health platforms. Methods A total of 115 cancer patients reported sharing intentions for 15 different types of information, demographics, health status, prior privacy experiences, expected community utility, and privacy concerns. Results Factor analysis on the 15 information types revealed 3 factors coinciding with 3 proposed information categories: clinical, daily life, and identity information. A within-subject ANOVA showed a strong preference for sharing clinical information compared to daily life and identity information (F 1,114=135.59, P=.001, η2=.93). Also, adverse online privacy experiences, age, and health status negatively affected information-sharing intentions. Female patients shared information less willingly. Conclusions Respondents’ information-sharing intentions depend on dispositional and situational factors. Patients share medical details more willingly than daily life or identity information. The results suggest the need to focus on anonymity rather than privacy in online communities. PMID:24828114
Hager, Ronald; George, James D; LeCheminant, James D; Bailey, Bruce W; Vincent, William J
2012-01-01
To assess a single-semester university general education (GE) health and wellness course influence on physical activity (PA) and dietary habits among university students and to compare the course delivered through lecture or online for these outcomes. A 15-week intervention with pre-post one-group design, allowing for comparative assessments in dietary and PA habits across time by delivery method (classroom lecture vs. online). A large Western university. Participants (n = 1638, female; n = 1333, male) were 82% university freshman or sophomores. Participants were required to take a GE health and wellness course either by classroom lecture or online. The lecture and online curriculum content were similar. Participation in the study was entirely voluntary and was not connected to course grade. PA and dietary outcomes were determined from questions used in the Behavioral Risk Factor Surveillance System survey and were assessed pre- and post-intervention. Other validated questions were used to assess fitness. The general linear model was utilized to determine group x period interactions when comparing the classroom lecture vs. online course. Students improved overall level of PA by 12%, daily minutes of moderate-intensity PA by 8%, and fitness level by 2%. Students improved fruit/vegetable consumption by 4%, bran/whole grain cereal consumption by 8%, and brown rice/whole wheat bread consumption by 11%. All improvements were statistically significant (p < .001) with percent values indicating the size of the effect. The classroom lecture course yielded stronger improvements in several PA and dietary outcomes than the online course. A single-semester university wellness course may positively influence multiple PA and dietary behaviors; however, classroom lecture may be superior to online delivery.
ONLINE WATER MONITORING UTILIZING AN AUTOMATED MICROARRAY BIOSENSOR INSTRUMENT - PHASE I
Constellation Technology Corporation (Constellation) proposes the use of an integrated recovery and detection system for online water supply monitoring. The integrated system is designed to efficiently capture and recover pathogens such as bacteria, viruses, parasites, an...
Jiang, Haihe; Yin, Yixin; Xiao, Wendong; Zhao, Baoyong
2018-01-01
Gas utilization ratio (GUR) is an important indicator that is used to evaluate the energy consumption of blast furnaces (BFs). Currently, the existing methods cannot predict the GUR accurately. In this paper, we present a novel data-driven model for predicting the GUR. The proposed approach utilized both the TS fuzzy neural network (TS-FNN) and the particle swarm algorithm (PSO) to predict the GUR. The particle swarm algorithm (PSO) is applied to optimize the parameters of the TS-FNN in order to decrease the error caused by the inaccurate initial parameter. This paper also applied the box graph (Box-plot) method to eliminate the abnormal value of the raw data during the data preprocessing. This method can deal with the data which does not obey the normal distribution which is caused by the complex industrial environments. The prediction results demonstrate that the optimization model based on PSO and the TS-FNN approach achieves higher prediction accuracy compared with the TS-FNN model and SVM model and the proposed approach can accurately predict the GUR of the blast furnace, providing an effective way for the on-line blast furnace distribution control. PMID:29461469
Zhang, Sen; Jiang, Haihe; Yin, Yixin; Xiao, Wendong; Zhao, Baoyong
2018-02-20
Gas utilization ratio (GUR) is an important indicator that is used to evaluate the energy consumption of blast furnaces (BFs). Currently, the existing methods cannot predict the GUR accurately. In this paper, we present a novel data-driven model for predicting the GUR. The proposed approach utilized both the TS fuzzy neural network (TS-FNN) and the particle swarm algorithm (PSO) to predict the GUR. The particle swarm algorithm (PSO) is applied to optimize the parameters of the TS-FNN in order to decrease the error caused by the inaccurate initial parameter. This paper also applied the box graph (Box-plot) method to eliminate the abnormal value of the raw data during the data preprocessing. This method can deal with the data which does not obey the normal distribution which is caused by the complex industrial environments. The prediction results demonstrate that the optimization model based on PSO and the TS-FNN approach achieves higher prediction accuracy compared with the TS-FNN model and SVM model and the proposed approach can accurately predict the GUR of the blast furnace, providing an effective way for the on-line blast furnace distribution control.
Wu, Anise M S; Lai, Mark H C; Yu, Shu; Lau, Joseph T F; Lei, Man-Wai
2017-03-01
Background and aims Internet gaming disorder (IGD) imposes a potential public health threat worldwide. Gaming motives are potentially salient factors of IGD, but research on Chinese gaming motives is scarce. This study empirically evaluated the psychometric properties of the Chinese version of the Motives for Online Gaming Questionnaire (C-MOGQ), the first inventory that measures seven different gaming motives applicable to all type of online games. We also investigated the associations between various gaming motives and IGD symptoms among Chinese gamers. Methods Three hundred and eighty-three Chinese adult online gamers (Mean age = 23.7 years) voluntarily completed our online, anonymous survey in December 2015. Results The confirmatory factor analysis results supported a bi-factor model with a general factor subsuming all C-MOGQ items (General Motivation) and seven uncorrelated domain-specific factors (Escape, Coping, Fantasy, Skill Development, Recreation, Competition, and Social). High internal consistencies of the overall scale and subscales were observed. The criterion-related validity of this Chinese version was also supported by the positive correlations of C-MOGQ scale scores with psychological need satisfaction and time spent gaming. Furthermore, we found that high General Motivation (coupled with high Escape motive and low Skill Development motive) was associated with more IGD symptoms reported by our Chinese participants. Discussion and conclusions Our findings demonstrated the utility of C-MOGQ in measuring gaming motives of Chinese online gamers, and we recommend the consideration of both its total score and subscale scores in future studies.
NASA Technical Reports Server (NTRS)
Scholtz, P.; Smyth, P.
1992-01-01
This article describes an investigation of a statistical hypothesis testing method for detecting changes in the characteristics of an observed time series. The work is motivated by the need for practical automated methods for on-line monitoring of Deep Space Network (DSN) equipment to detect failures and changes in behavior. In particular, on-line monitoring of the motor current in a DSN 34-m beam waveguide (BWG) antenna is used as an example. The algorithm is based on a measure of the information theoretic distance between two autoregressive models: one estimated with data from a dynamic reference window and one estimated with data from a sliding reference window. The Hinkley cumulative sum stopping rule is utilized to detect a change in the mean of this distance measure, corresponding to the detection of a change in the underlying process. The basic theory behind this two-model test is presented, and the problem of practical implementation is addressed, examining windowing methods, model estimation, and detection parameter assignment. Results from the five fault-transition simulations are presented to show the possible limitations of the detection method, and suggestions for future implementation are given.
Older Adult Experience of Online Diagnosis: Results From a Scenario-Based Think-Aloud Protocol
2014-01-01
Background Searching for online information to interpret symptoms is an increasingly prevalent activity among patients, even among older adults. As older adults typically have complex health care needs, their risk of misinterpreting symptoms via online self-diagnosis may be greater. However, limited research has been conducted with older adults in the areas of symptom interpretation and human-computer interaction. Objective The intent of the study was to describe the processes that a sample of older adults may use to diagnose symptoms online as well as the processes that predict accurate diagnosis. Methods We conducted a series of “think-aloud” protocols with 79 adults aged 50 years or older. Participants received one of two vignettes that depicted symptoms of illness. Participants talked out loud about their thoughts and actions while attempting to diagnose the symptoms with and without the help of common Internet tools (Google and WebMD’s Symptom Checker). Think-aloud content was categorized using an adapted Q-sort and general inductive approach. We then compared the think-aloud content of participants who were accurate in their diagnosis with those who were not. Results Nineteen descriptive codes were identified from the think-aloud content. The codes touched upon Web navigation, attempts to organize and evaluate online health information, and strategies to diagnose symptoms. Participants most frequently relied on a strategy where they reviewed and then rejected the online diagnoses if they contained additional symptoms than those that were depicted in the vignette. Finally, participants who were inaccurate in their diagnosis reported being confused by the diagnosis task, lacking confidence in their diagnosis, and using their past experiences with illness to guide diagnosis more frequently than those participants who accurately diagnosed the symptoms. Conclusions Older adult participants tended to rely on matching strategies to interpret symptoms, but many still utilized existing medical knowledge and previous illness experiences as a guide for diagnosis. Many participants also had difficulty navigating the Internet tools, which suggests an increased need for navigation aids in Web design. Furthermore, participants who were inaccurate in their diagnosis had more difficulty with the Internet tools and confusion with the task than those who were accurate. Future work in this area may want to utilize additional study design such as eye-tracking to further understand the coordination between Web navigation, online symptom information processing, and diagnostic strategies. PMID:24434479
Health care use amongst online buyers of medications and vitamins.
Desai, Karishma; Chewning, Betty; Mott, David
2015-01-01
With increased use of the internet, more people access medications and health supplements online. However little is known about factors associated with using online buying. Given the variable quality of online pharmacies, an important question is whether online consumers also have health care providers with whom they discuss internet information and decisions. To help address these gaps this study used the Andersen Model to explore (1) the characteristics of internet buyers of medicines and/vitamins, (2) the association between health care use and buying medicines and/vitamins online drawing on the Andersen health care utilization framework, and (3) factors predicting discussion of internet information with health providers. The National Cancer Institute's Health Information National Trends Survey (HINTS) 2007 was analyzed to study online medication buying among a national sample of internet users (N = 5074). The Andersen Model of health care utilization guided the study's variable selection and analyses. Buying online and talking about online information are the two main outcome variables. Separate multivariate logistic regression analyses identified factors associated with online buying and factors predicting discussions with providers about online information. In 2007, 14.5% (n = 871) of internet users bought a medication or vitamin online. About 85% of online buyers had a regular provider, but only 39% talked to the provider about online information even though most (93.7%) visited the provider ≥1 times/year. Multivariate analyses found internet health product consumers were more likely to be over 50 years old, have insurance and discuss the internet with their provider than non-internet health product consumers. Moreover, discussion of internet information was more likely if consumers had a regular provider and perceived their communication to be at least fair or good in general. There is a clear association of online buying with age, frequency of visits and discussing online information with a provider. Although most online buyers visited a provider in the prior year, only a minority discussed the internet with them. This suggests a missed opportunity for providers to help patients navigate internet buying, particularly if they are a patient's regular provider and the patient perceives their communication as good. Published by Elsevier Inc.
Qu, Jing; Hu, You-cai; Li, Jian-bei; Wang, Ying-hong; Zhang, Jin-lan; Abliz, Zeper; Yu, Shi-shan; Liu, Yun-bao
2008-01-01
A combination of electrospray ionization tandem mass spectrometry with high-performance liquid chromatography (HPLC/ESI-MSn), and hyphenation of liquid chromatography to nuclear magnetic resonance spectroscopy (HPLC/NMR), have been extensively utilized for on-line analysis of natural products, analyzing metabolite and drug impurity. In our last paper, we reported an on-line analytical method for structural identification of trace alkaloids in the same class. However, the structural types of the constituents in plants were various, such as flavanoids, terpenoids and steroids. It is important to establish an effective analytical method for on-line structural identification of constituents with molecular diversity in extracts of plants. So, in the present study, the fragmentation patterns of some isolated stilbenes, phloroglucinols and flavanoids from Lysidice rhodostegia were investigated by ESI-MSn. Their fragmentation rules and UV characteristics are summarized, and the relationship between the spectral characteristics, rules and the structures is described. According to the fragmentation rules, NMR and UV spectral characteristics, 24 constituents of different types in the fractions from L. brevicalyx of the same genus were structurally characterized on the basis of HPLC/HRMS, HPLC-UV/ESI-MSn, HPLC/1H NMR and HPLC/1H-1H COSY rapidly. Of these, six (10, 13, 14, 16, 17 and 23) are new compounds and all of them are reported from L. brevicalyx for the first time. The aim is to develop an effective analytical method for on-line structural identification of natural products with molecular diversity in plants, and to guide the rapid and direct isolation of novel compounds by chemical screening.
Architecture for Knowledge-Based and Federated Search of Online Clinical Evidence
Walther, Martin; Nguyen, Ken; Lovell, Nigel H
2005-01-01
Background It is increasingly difficult for clinicians to keep up-to-date with the rapidly growing biomedical literature. Online evidence retrieval methods are now seen as a core tool to support evidence-based health practice. However, standard search engine technology is not designed to manage the many different types of evidence sources that are available or to handle the very different information needs of various clinical groups, who often work in widely different settings. Objectives The objectives of this paper are (1) to describe the design considerations and system architecture of a wrapper-mediator approach to federate search system design, including the use of knowledge-based, meta-search filters, and (2) to analyze the implications of system design choices on performance measurements. Methods A trial was performed to evaluate the technical performance of a federated evidence retrieval system, which provided access to eight distinct online resources, including e-journals, PubMed, and electronic guidelines. The Quick Clinical system architecture utilized a universal query language to reformulate queries internally and utilized meta-search filters to optimize search strategies across resources. We recruited 227 family physicians from across Australia who used the system to retrieve evidence in a routine clinical setting over a 4-week period. The total search time for a query was recorded, along with the duration of individual queries sent to different online resources. Results Clinicians performed 1662 searches over the trial. The average search duration was 4.9 ± 3.2 s (N = 1662 searches). Mean search duration to the individual sources was between 0.05 s and 4.55 s. Average system time (ie, system overhead) was 0.12 s. Conclusions The relatively small system overhead compared to the average time it takes to perform a search for an individual source shows that the system achieves a good trade-off between performance and reliability. Furthermore, despite the additional effort required to incorporate the capabilities of each individual source (to improve the quality of search results), system maintenance requires only a small additional overhead. PMID:16403716
A structured review of health utility measures and elicitation in advanced/metastatic breast cancer
Hao, Yanni; Wolfram, Verena; Cook, Jennifer
2016-01-01
Background Health utilities are increasingly incorporated in health economic evaluations. Different elicitation methods, direct and indirect, have been established in the past. This study examined the evidence on health utility elicitation previously reported in advanced/metastatic breast cancer and aimed to link these results to requirements of reimbursement bodies. Methods Searches were conducted using a detailed search strategy across several electronic databases (MEDLINE, EMBASE, Cochrane Library, and EconLit databases), online sources (Cost-effectiveness Analysis Registry and the Health Economics Research Center), and web sites of health technology assessment (HTA) bodies. Publications were selected based on the search strategy and the overall study objectives. Results A total of 768 publications were identified in the searches, and 26 publications, comprising 18 journal articles and eight submissions to HTA bodies, were included in the evidence review. Most journal articles derived utilities from the European Quality of Life Five-Dimensions questionnaire (EQ-5D). Other utility measures, such as the direct methods standard gamble (SG), time trade-off (TTO), and visual analog scale (VAS), were less frequently used. Several studies described mapping algorithms to generate utilities from disease-specific health-related quality of life (HRQOL) instruments such as European Organization for Research and Treatment of Cancer Quality of Life Questionnaire – Core 30 (EORTC QLQ-C30), European Organization for Research and Treatment of Cancer Quality of Life Questionnaire – Breast Cancer 23 (EORTC QLQ-BR23), Functional Assessment of Cancer Therapy – General questionnaire (FACT-G), and Utility-Based Questionnaire-Cancer (UBQ-C); most used EQ-5D as the reference. Sociodemographic factors that affect health utilities, such as age, sex, income, and education, as well as disease progression, choice of utility elicitation method, and country settings, were identified within the journal articles. Most submissions to HTA bodies obtained utility values from the literature rather than exploring the HRQOL data obtained during clinical development. This was critiqued by the National Institute for Health and Clinical Excellence (NICE). Furthermore, the impact of age on utilities was highlighted by NICE and it was suggested that an age match of the study population should be attempted. Conclusion Health utilities are recorded across the globe to varying extents and using differing elicitation methods. Manufacturers seeking reimbursement need to be aware of the country-specific requirements for elicitation of health utilities. PMID:27382319
The internet as a source of support for youth with chronic conditions: A qualitative study.
Ahola Kohut, S; LeBlanc, C; O'Leary, K; McPherson, A C; McCarthy, E; Nguyen, C; Stinson, J
2018-03-01
Adolescents living with chronic conditions often portray themselves as "healthy" online, yet use the Internet as one of their top sources of health information and social communication. There is a need to develop online support programs specific to adolescents with chronic conditions in order to provide a private space to discuss concerns. This paper endeavors to increase our understanding of the online support needs and wants of these adolescents and their interest in and preferences for an online support program. A qualitative descriptive study using semistructured interviews was completed. Stratified purposive sampling was utilized to ensure a representative sample based on age and diagnosis. English speaking adolescents (aged 12-18 years) diagnosed with a chronic condition were recruited from clinic and inpatient areas across 3 paediatric hospitals in Canada. Thirty-three participants aged 15.3 ± 1.8 years (64% female) completed the study. The main topics identified were (a) the purpose of current online activity, (b) the benefits and challenges of existing online supports, and (c) a description of ideal online resources. The purpose of online activity was social networking, information, online gaming, and social support. When accessing health information online, participants prioritized websites that were easy to access and understand despite the trustworthiness of the site. The reported benefits and challenges varied across participants with many areas perceived as both a benefit and a challenge. The majority of participants were interested in participating in an online support program that included both accurate disease-related information and a community of other adolescents to provide social support. Adolescents with chronic conditions are interested in online support that encompasses health information and social support that is flexible and easy to navigate. Findings can be used to develop or adapt existing online support programs for adolescents with chronic conditions to help increase engagement and utilization. © 2017 John Wiley & Sons Ltd.
ERIC Educational Resources Information Center
Kurtz, Peter; And Others
This report is concerned with the implementation of two interrelated computer systems: an automatic document analysis and classification package, and an on-line interactive information retrieval system which utilizes the information gathered during the automatic classification phase. Well-known techniques developed by Salton and Dennis have been…
NASA Astrophysics Data System (ADS)
Tsai, Meng-Jung; Hsu, Chung-Yuan; Tsai, Chin-Chung
2012-04-01
Due to a growing trend of exploring scientific knowledge on the Web, a number of studies have been conducted to highlight examination of students' online searching strategies. The investigation of online searching generally employs methods including a survey, interview, screen-capturing, or transactional logs. The present study firstly intended to utilize a survey, the Online Information Searching Strategies Inventory (OISSI), to examine users' searching strategies in terms of control, orientation, trial and error, problem solving, purposeful thinking, selecting main ideas, and evaluation, which is defined as implicit strategies. Second, this study conducted screen-capturing to investigate the students' searching behaviors regarding the number of keywords, the quantity and depth of Web page exploration, and time attributes, which is defined as explicit strategies. Ultimately, this study explored the role that these two types of strategies played in predicting the students' online science information searching outcomes. A total of 103 Grade 10 students were recruited from a high school in northern Taiwan. Through Pearson correlation and multiple regression analyses, the results showed that the students' explicit strategies, particularly the time attributes proposed in the present study, were more successful than their implicit strategies in predicting their outcomes of searching science information. The participants who spent more time on detailed reading (explicit strategies) and had better skills of evaluating Web information (implicit strategies) tended to have superior searching performance.
Wang, Ling-Chi; Okitsu, Cindy Yen; Kochounian, Harold; Rodriguez, Anthony; Hsieh, Chih-Lin; Zandi, Ebrahim
2008-05-01
A modified sol-gel method for a one-step on-column frit preparation for fused-silica capillaries and its utility for peptide separation in LC-MS/MS is described. This method is inexpensive, reproducible, and does not require specialized equipments. Because the frit fabrication process does not damage polyimide coating, the frit-fabricated column can be tightly connected on-line for high pressure LC. These columns can replace any capillary liquid transfer tubing without any specialized connections up-stream of a spray tip column. Therefore multiple columns with different phases can be connected in series for one- or multiple-dimensional chromatography.
Gorter, Jan Willem; Stewart, Deb; Cohen, Eyal; Hlyva, Oksana; Morrison, Andrea; Galuppi, Barb; Nguyen, Tram; Amaria, Khush; Punthakee, Zubin
2015-05-06
To assess use, utility and impact of transition interventions designed to support and empower self-management in youth with chronic health conditions during transition into adult healthcare. A 4-year mixed-method prospective cohort study. 2 academic paediatric hospitals (13 clinics) in Canada. 50 adolescents (42% male; mean age 17.9±0.9 years; 20 underlying diagnoses) with transfer to adult care planned within 1 year. The Youth KIT (an organisational tool that includes goal setting activities); an online transition mentor. Frequency of use, utility and impact of the transition interventions; goal achievement; post-transfer qualitative interviews with youth. 50 participants were enrolled during their last year of paediatric care; 36 (72%) were followed into adult care. All participants had access to the transition interventions from enrolment until the end of the study (exposure time: 12-47 months). Most youth (85%) reported using the medical/health section of the Youth KIT at least once; 20 (40%) participants engaged in chats with the mentor. The overall perceived utility of both interventions was modest; the Youth KIT received the highest ratings for 'help with goal setting': (mean (SD): 4.2 (2.3)) on a 7-point Likert scale. 45 (90%) participants set 294 transition goals. Goal achievement performance and satisfaction increased over time (p≤0.001). The qualitative evidence revealed reasons behind the variability in use and utility of the interventions, the interconnectedness of life-course and healthcare transitions, and the need for stronger partnerships between paediatric and adult healthcare systems. Participants' perceptions about the utility of the Youth KIT and the online mentor were modest. Transition supports need to be carefully tailored, timed and integrated into healthcare systems. Individualised goal setting may be an important 'active ingredient' in optimising transition supports and outcomes. Interventions that focus on youth only are insufficient for empowering self-management. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
Gorter, Jan Willem; Stewart, Deb; Cohen, Eyal; Hlyva, Oksana; Morrison, Andrea; Galuppi, Barb; Nguyen, Tram; Amaria, Khush; Punthakee, Zubin
2015-01-01
Objectives To assess use, utility and impact of transition interventions designed to support and empower self-management in youth with chronic health conditions during transition into adult healthcare. Design A 4-year mixed-method prospective cohort study. Setting 2 academic paediatric hospitals (13 clinics) in Canada. Participants 50 adolescents (42% male; mean age 17.9±0.9 years; 20 underlying diagnoses) with transfer to adult care planned within 1 year. Interventions The Youth KIT (an organisational tool that includes goal setting activities); an online transition mentor. Main outcome measures Frequency of use, utility and impact of the transition interventions; goal achievement; post-transfer qualitative interviews with youth. Results 50 participants were enrolled during their last year of paediatric care; 36 (72%) were followed into adult care. All participants had access to the transition interventions from enrolment until the end of the study (exposure time: 12–47 months). Most youth (85%) reported using the medical/health section of the Youth KIT at least once; 20 (40%) participants engaged in chats with the mentor. The overall perceived utility of both interventions was modest; the Youth KIT received the highest ratings for ‘help with goal setting’: (mean (SD): 4.2 (2.3)) on a 7-point Likert scale. 45 (90%) participants set 294 transition goals. Goal achievement performance and satisfaction increased over time (p≤0.001). The qualitative evidence revealed reasons behind the variability in use and utility of the interventions, the interconnectedness of life-course and healthcare transitions, and the need for stronger partnerships between paediatric and adult healthcare systems. Conclusions Participants’ perceptions about the utility of the Youth KIT and the online mentor were modest. Transition supports need to be carefully tailored, timed and integrated into healthcare systems. Individualised goal setting may be an important ‘active ingredient’ in optimising transition supports and outcomes. Interventions that focus on youth only are insufficient for empowering self-management. PMID:25948409
1981-12-01
with statistical data on the -est questions themselves and allows upgrading of the test ques-ion bank or changes in the method of presentation. (5...accessed to meet on-line inquires from users at the OMA, INA, and SSC levels, utilizing a number of different to access similar data. A query capability...technical directive and configured item capability * nonthly Maintanance Plan *Individual material Readiness List (I21RL) SPIE calibration Expand JCN4 Tracki
NASA Technical Reports Server (NTRS)
Johannes, J. D.
1974-01-01
Techniques, methods, and system requirements are reported for an onboard computerized communications system that provides on-line computing capability during manned space exploration. Communications between man and computer take place by sequential execution of each discrete step of a procedure, by interactive progression through a tree-type structure to initiate tasks or by interactive optimization of a task requiring man to furnish a set of parameters. Effective communication between astronaut and computer utilizes structured vocabulary techniques and a word recognition system.
Open source tools for standardized privacy protection of medical images
NASA Astrophysics Data System (ADS)
Lien, Chung-Yueh; Onken, Michael; Eichelberg, Marco; Kao, Tsair; Hein, Andreas
2011-03-01
In addition to the primary care context, medical images are often useful for research projects and community healthcare networks, so-called "secondary use". Patient privacy becomes an issue in such scenarios since the disclosure of personal health information (PHI) has to be prevented in a sharing environment. In general, most PHIs should be completely removed from the images according to the respective privacy regulations, but some basic and alleviated data is usually required for accurate image interpretation. Our objective is to utilize and enhance these specifications in order to provide reliable software implementations for de- and re-identification of medical images suitable for online and offline delivery. DICOM (Digital Imaging and Communications in Medicine) images are de-identified by replacing PHI-specific information with values still being reasonable for imaging diagnosis and patient indexing. In this paper, this approach is evaluated based on a prototype implementation built on top of the open source framework DCMTK (DICOM Toolkit) utilizing standardized de- and re-identification mechanisms. A set of tools has been developed for DICOM de-identification that meets privacy requirements of an offline and online sharing environment and fully relies on standard-based methods.
ERIC Educational Resources Information Center
Anderson, Elizabeth
2017-01-01
Student engagement has been shown to be essential to the development of research-based best practices for K-12 education. It has been defined and measured in numerous ways. The purpose of this research study was to develop a measure of online student engagement for grades 3 through 8 using a partial credit Rasch model and validate the measure…
ERIC Educational Resources Information Center
Thomson, Nancy S.; Echeverria, Donna Rose; Mills, Bob
This paper describes the resources, processes and outcomes involved in the development of an introductory Management Information Systems (MIS) course designed to utilize as many of the technologies as possible to redefine the teaching/learning paradigm. The MIS-Online project at Northwest Missouri State University encompasses the available campus…
NASA Astrophysics Data System (ADS)
Dat, Tran Huy; Takeda, Kazuya; Itakura, Fumitada
We present a multichannel speech enhancement method based on MAP speech spectral magnitude estimation using a generalized gamma model of speech prior distribution, where the model parameters are adapted from actual noisy speech in a frame-by-frame manner. The utilization of a more general prior distribution with its online adaptive estimation is shown to be effective for speech spectral estimation in noisy environments. Furthermore, the multi-channel information in terms of cross-channel statistics are shown to be useful to better adapt the prior distribution parameters to the actual observation, resulting in better performance of speech enhancement algorithm. We tested the proposed algorithm in an in-car speech database and obtained significant improvements of the speech recognition performance, particularly under non-stationary noise conditions such as music, air-conditioner and open window.
Panoulas, Konstantinos I; Hadjileontiadis, Leontios J; Panas, Stavros M
2008-01-01
Brain Computer Interfaces (BCI) usually utilize the suppression of mu-rhythm during actual or imagined motor activity. In order to create a BCI system, a signal processing method is required to extract features upon which the discrimination is based. In this article, the Empirical Mode Decomposition along with the Hilbert-Huang Spectrum (HHS) is found to contain the necessary information to be considered as an input to a discriminator. Also, since the HHS defines amplitude and instantaneous frequency for each sample, it can be used for an online BCI system. Experimental results when the HHS applied to EEG signals from an on-line database (BCI Competition III) show the potentiality of the proposed analysis to capture the imagined motor activity, contributing to a more enhanced BCI performance.
Online Gambling among Treatment-Seeking Patients in Singapore: A Cross-Sectional Study
Zhang, Melvyn; Yang, Yi; Guo, Song; Cheok, Chris; Wong, Kim Eng; Kandasami, Gomathinayagam
2018-01-01
Given that technology has greatly facilitated easier access to gambling in previous years, it is timely to look in-depth into online gambling activities and behaviors. There have been several studies that examined online gambling. However, most of the current studies to date have focused on determining the prevalence and the epidemiology of problem gambling arising from online gambling in Western cohorts. There remains a paucity of research looking at the problem of online gambling among Asian individuals. The objectives of the current study are to elucidate the characteristics of online gambling among an Asian cohort and to explore the harm associated with online gambling and the potential mechanisms by which harm associated with online gambling could be minimized. It is hoped that the findings of the current paper will bridge the existing gaps in the research literature. A cross-sectional study design was utilized to recruit 100 participants who were attending outpatient services at the National Addictions Management Service (NAMS) from March 2014 to October 2015. The majority of the participants were male, of Chinese ethnicity and under the age of 30 years old (48%). Mobile phones and smartphones were the most commonly utilized platforms for gambling online. The median largest ever debt incurred as a result of online gambling ($20,000) was significantly more than that due to offline gambling ($500) (Z = −4.17, p < 0.001). As for the biggest ever loss, participants had incurred a significantly larger median loss from online gambling ($7000) (Z = −2.73, p < 0.01) compared to offline gambling ($2000). A total of 18.4% of participants had waited between 1 to 2 years from their first online gambling experience to seek treatment and 17.3% had waited for more than 10 years. This is perhaps one of the first Asian studies to investigate the serious harm involved in online gambling. The findings from our study are intended to guide further interventions in the treatment of online gambling related disorders; and would be of interest to governmental organizations in their planning of regulations for online gambling. PMID:29690634
Online Gambling among Treatment-Seeking Patients in Singapore: A Cross-Sectional Study.
Zhang, Melvyn; Yang, Yi; Guo, Song; Cheok, Chris; Wong, Kim Eng; Kandasami, Gomathinayagam
2018-04-23
Given that technology has greatly facilitated easier access to gambling in previous years, it is timely to look in-depth into online gambling activities and behaviors. There have been several studies that examined online gambling. However, most of the current studies to date have focused on determining the prevalence and the epidemiology of problem gambling arising from online gambling in Western cohorts. There remains a paucity of research looking at the problem of online gambling among Asian individuals. The objectives of the current study are to elucidate the characteristics of online gambling among an Asian cohort and to explore the harm associated with online gambling and the potential mechanisms by which harm associated with online gambling could be minimized. It is hoped that the findings of the current paper will bridge the existing gaps in the research literature. A cross-sectional study design was utilized to recruit 100 participants who were attending outpatient services at the National Addictions Management Service (NAMS) from March 2014 to October 2015. The majority of the participants were male, of Chinese ethnicity and under the age of 30 years old (48%). Mobile phones and smartphones were the most commonly utilized platforms for gambling online. The median largest ever debt incurred as a result of online gambling ($20,000) was significantly more than that due to offline gambling ($500) ( Z = −4.17, p < 0.001). As for the biggest ever loss, participants had incurred a significantly larger median loss from online gambling ($7000) ( Z = −2.73, p < 0.01) compared to offline gambling ($2000). A total of 18.4% of participants had waited between 1 to 2 years from their first online gambling experience to seek treatment and 17.3% had waited for more than 10 years. This is perhaps one of the first Asian studies to investigate the serious harm involved in online gambling. The findings from our study are intended to guide further interventions in the treatment of online gambling related disorders; and would be of interest to governmental organizations in their planning of regulations for online gambling.
Effective evaluation of privacy protection techniques in visible and thermal imagery
NASA Astrophysics Data System (ADS)
Nawaz, Tahir; Berg, Amanda; Ferryman, James; Ahlberg, Jörgen; Felsberg, Michael
2017-09-01
Privacy protection may be defined as replacing the original content in an image region with a (less intrusive) content having modified target appearance information to make it less recognizable by applying a privacy protection technique. Indeed, the development of privacy protection techniques also needs to be complemented with an established objective evaluation method to facilitate their assessment and comparison. Generally, existing evaluation methods rely on the use of subjective judgments or assume a specific target type in image data and use target detection and recognition accuracies to assess privacy protection. An annotation-free evaluation method that is neither subjective nor assumes a specific target type is proposed. It assesses two key aspects of privacy protection: "protection" and "utility." Protection is quantified as an appearance similarity, and utility is measured as a structural similarity between original and privacy-protected image regions. We performed an extensive experimentation using six challenging datasets (having 12 video sequences), including a new dataset (having six sequences) that contains visible and thermal imagery. The new dataset is made available online for the community. We demonstrate effectiveness of the proposed method by evaluating six image-based privacy protection techniques and also show comparisons of the proposed method over existing methods.
Martins, Júlia Caetano; Aguiar, Larissa Tavares; Nadeau, Sylvie; Scianni, Aline Alvim; Teixeira-Salmela, Luci Fuscaldi; Faria, Christina Danielli Coelho de Morais
2017-01-01
Introduction Self-report physical activity assessment tools are commonly used for the evaluation of physical activity levels in individuals with stroke. A great variety of these tools have been developed and widely used in recent years, which justify the need to examine their measurement properties and clinical utility. Therefore, the main objectives of this systematic review are to examine the measurement properties and clinical utility of self-report measures of physical activity and discuss the strengths and limitations of the identified tools. Methods and analysis A systematic review of studies that investigated the measurement properties and/or clinical utility of self-report physical activity assessment tools in stroke will be conducted. Electronic searches will be performed in five databases: Medical Literature Analysis and Retrieval System Online (MEDLINE) (PubMed), Excerpta Medica Database (EMBASE), Physiotherapy Evidence Database (PEDro), Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS) and Scientific Electronic Library Online (SciELO), followed by hand searches of the reference lists of the included studies. Two independent reviewers will screen all retrieve titles, abstracts, and full texts, according to the inclusion criteria and will also extract the data. A third reviewer will be referred to solve any disagreement. A descriptive summary of the included studies will contain the design, participants, as well as the characteristics, measurement properties, and clinical utility of the self-report tools. The methodological quality of the studies will be evaluated using the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) checklist and the clinical utility of the identified tools will be assessed considering predefined criteria. This systematic review will follow the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) statement. Discussion This systematic review will provide an extensive review of the measurement properties and clinical utility of self-report physical activity assessment tools used in individuals with stroke, which would benefit clinicians and researchers. Trial registration number PROSPERO CRD42016037146. PMID:28193848
NASA Technical Reports Server (NTRS)
Lo, C. F.; Wu, K.; Whitehead, B. A.
1993-01-01
The statistical and neural networks methods have been applied to investigate the feasibility in detecting anomalies in turbopump vibration of SSME. The anomalies are detected based on the amplitude of peaks of fundamental and harmonic frequencies in the power spectral density. These data are reduced to the proper format from sensor data measured by strain gauges and accelerometers. Both methods are feasible to detect the vibration anomalies. The statistical method requires sufficient data points to establish a reasonable statistical distribution data bank. This method is applicable for on-line operation. The neural networks method also needs to have enough data basis to train the neural networks. The testing procedure can be utilized at any time so long as the characteristics of components remain unchanged.
Improving agricultural knowledge management: The AgTrials experience
Hyman, Glenn; Espinosa, Herlin; Camargo, Paola; Abreu, David; Devare, Medha; Arnaud, Elizabeth; Porter, Cheryl; Mwanzia, Leroy; Sonder, Kai; Traore, Sibiry
2017-01-01
Background: Opportunities to use data and information to address challenges in international agricultural research and development are expanding rapidly. The use of agricultural trial and evaluation data has enormous potential to improve crops and management practices. However, for a number of reasons, this potential has yet to be realized. This paper reports on the experience of the AgTrials initiative, an effort to build an online database of agricultural trials applying principles of interoperability and open access. Methods: Our analysis evaluates what worked and what did not work in the development of the AgTrials information resource. We analyzed data on our users and their interaction with the platform. We also surveyed our users to gauge their perceptions of the utility of the online database. Results: The study revealed barriers to participation and impediments to interaction, opportunities for improving agricultural knowledge management and a large potential for the use of trial and evaluation data. Conclusions: Technical and logistical mechanisms for developing interoperable online databases are well advanced. More effort will be needed to advance organizational and institutional work for these types of databases to realize their potential. PMID:28580127
Wei, Ning; You, Jia; Friehs, Karl; Flaschel, Erwin; Nattkemper, Tim Wilhelm
2007-08-15
Fermentation industries would benefit from on-line monitoring of important parameters describing cell growth such as cell density and viability during fermentation processes. For this purpose, an in situ probe has been developed, which utilizes a dark field illumination unit to obtain high contrast images with an integrated CCD camera. To test the probe, brewer's yeast Saccharomyces cerevisiae is chosen as the target microorganism. Images of the yeast cells in the bioreactors are captured, processed, and analyzed automatically by means of mechatronics, image processing, and machine learning. Two support vector machine based classifiers are used for separating cells from background, and for distinguishing live from dead cells afterwards. The evaluation of the in situ experiments showed strong correlation between results obtained by the probe and those by widely accepted standard methods. Thus, the in situ probe has been proved to be a feasible device for on-line monitoring of both cell density and viability with high accuracy and stability. (c) 2007 Wiley Periodicals, Inc.
Bauermeister, José A; Zimmerman, Marc A; Johns, Michelle M; Glowacki, Pietreck; Stoddard, Sarah; Volz, Erik
2012-09-01
We used a web version of Respondent-Driven Sampling (webRDS) to recruit a sample of young adults (ages 18-24) and examined whether this strategy would result in alcohol and other drug (AOD) prevalence estimates comparable to national estimates (National Survey on Drug Use and Health [NSDUH]). We recruited 22 initial participants (seeds) via Facebook to complete a web survey examining AOD risk correlates. Sequential, incentivized recruitment continued until our desired sample size was achieved. After correcting for webRDS clustering effects, we contrasted our AOD prevalence estimates (past 30 days) to NSDUH estimates by comparing the 95% confidence intervals of prevalence estimates. We found comparable AOD prevalence estimates between our sample and NSDUH for the past 30 days for alcohol, marijuana, cocaine, Ecstasy (3,4-methylenedioxymethamphetamine, or MDMA), and hallucinogens. Cigarette use was lower than NSDUH estimates. WebRDS may be a suitable strategy to recruit young adults online. We discuss the unique strengths and challenges that may be encountered by public health researchers using webRDS methods.
Scarton, Lou Ann; Del Fiol, Guilherme; Oakley-Girvan, Ingrid; Gibson, Bryan; Logan, Robert; Workman, T. Elizabeth
2018-01-01
Objective The research examined complementary and alternative medicine (CAM) information-seeking behaviors and preferences from short- to long-term cancer survival, including goals, motivations, and information sources. Methods A mixed-methods approach was used with cancer survivors from the “Assessment of Patients’ Experience with Cancer Care” 2004 cohort. Data collection included a mail survey and phone interviews using the critical incident technique (CIT). Results Seventy survivors from the 2004 study responded to the survey, and eight participated in the CIT interviews. Quantitative results showed that CAM usage did not change significantly between 2004 and 2015. The following themes emerged from the CIT: families’ and friends’ provision of the initial introduction to a CAM, use of CAM to manage the emotional and psychological impact of cancer, utilization of trained CAM practitioners, and online resources as a prominent source for CAM information. The majority of participants expressed an interest in an online information-sharing portal for CAM. Conclusion Patients continue to use CAM well into long-term cancer survivorship. Finding trustworthy sources for information on CAM presents many challenges such as reliability of source, conflicting information on efficacy, and unknown interactions with conventional medications. Study participants expressed interest in an online portal to meet these needs through patient testimonials and linkage of claims to the scientific literature. Such a portal could also aid medical librarians and clinicians in locating and evaluating CAM information on behalf of patients. PMID:29339938
Experience with a Massive Open Online Course in Rural Rwanda
ERIC Educational Resources Information Center
Warugaba, Christine; Naughton, Brienna; Hedt-Gauthier, Bethany; Muhirwa, Ernest; Amoroso, Cheryl L.
2016-01-01
The growing utilization of massive open online courses (MOOCs) is opening opportunities for students worldwide, but the completion rate for MOOCs is low (Liyanagunawardena, Adams, & Williams, 2013). Partners In Health (PIH) implemented a "flipped" MOOC in Rwanda that incorporated in-class sessions to facilitate participant…
Online Teaching Needs Assessment
ERIC Educational Resources Information Center
Holland, Glenda; Sivakumaran, Thillainatarajan; Dawson, Marcus Dewayne; Davis, Lucy; Choi, Yung Yu; Absher, Ashley
2010-01-01
The study utilized a descriptive research approach to analyze the professional development needs of participants. Researchers for this study wanted to know the kinds of support and incentives that are being offered for faculty members who are teaching online courses, the kinds of professional development opportunities that are being offered, the…
Survey of Developmental Students' Print and Online Metacognitive Reading
ERIC Educational Resources Information Center
Boudreaux, Mary Keller
2016-01-01
This quantitative study is a comparative analysis of developmental students' print and online support metacognitive strategy use. More specifically, a study was conducted utilizing the Metacognitive Awareness of Reading Strategies Inventory (MARSI) to measure developmental college students' awareness and perceived use of support reading strategies…
Zhang, Jie; Bai, Ruoshi; Zhou, Zhaojuan; Liu, Xingyu; Zhou, Jun
2017-04-01
A fully automated analytical method was developed and validated by this present study. The method was based on two-dimensional (2D) online solid-phase extraction liquid chromatography-tandem mass spectrometry (SPE-LC-MS/MS) to determine nine aromatic amines (AAs) in mainstream smoke (MSS) simultaneously. As a part of validation process, AAs yields for 16 top-selling commercial cigarettes from China market were evaluated by the developed method under both Health Canada Intensive (HCI) and ISO machine smoking regimes. The gas phase of MSS was trapped by 25 mL 0.6 M hydrochloric acid solution, while the particulate phase was collected on a glass fiber filter. Then, the glass fiber pad was extracted with hydrochloric acid solution in an ultrasonic bath. The extract was analyzed with 2D online SPE-LC-MS/MS. In order to minimize the matrix effects of sample on each analyte, two cartridges with different extraction mechanisms were utilized to cleanup disturbances of different polarity, which were performed by the 2D SPE. A phenyl-hexyl analytical column was used to achieve a chromatographic separation. Under the optimized conditions, the isomers of p-toluidine, m-toluidine and o-toluidine, 3-aminobiphenyl and 4-aminobiphenyl, and 1-naphthylamine and 2-naphthylamine were baseline separated with good peak shapes for the first time. The limits of detection for nine AAs ranged from 0.03 to 0.24 ng cig -1 . The recovery of the measurement of nine AAs was from 84.82 to 118.47%. The intra-day and inter-day precisions of nine AAs were less than 10 and 16%, respectively. Compared with ISO machine smoking regime, the AAs yields in MSS were 1.17 to 3.41 times higher under HCI machine smoking regime. Graphical abstract New method using online SPE-LC/MS/MS for analysis of aromatic amines in mainstream cigarette smoke.
Noonan, Vanessa K; Townson, Andrea F; Higgins, Caroline E; Rogers, Jess; Wolfe, Dalton L
2014-01-01
Background It is not known whether ongoing access to a broad-based Internet knowledge resource can influence the practice of health care providers. We undertook a study to evaluate the impact of a Web-based knowledge resource on increasing access to evidence and facilitating best practice of health care providers. Objective The objective of this study was to evaluate (1) the impact of the Spinal Cord Injury Rehabilitation Evidence (SCIRE) project on access to information for health care providers and researchers and (2) how SCIRE influenced health care providers' management of clients. Methods A 4-part mixed methods evaluation was undertaken: (1) monitoring website traffic and utilization using Google Analytics, (2) online survey of users who accessed the SCIRE website, (3) online survey of targeted end-users, that is, rehabilitation health care providers known to work with spinal cord injury (SCI) clients, as well as researchers, and (4) focus groups with health care providers who had previously accessed SCIRE. Results The online format allowed the content for a relatively specialized field to have far reach (eg, 26 countries and over 6500 users per month). The website survey and targeted end-user survey confirmed that health care providers, as well as researchers perceived that the website increased their access to SCI evidence. Access to SCIRE not only improved knowledge of SCI evidence but helped inform changes to the health providers’ clinical practice and improved their confidence in treating SCI clients. The SCIRE information directly influenced the health providers’ clinical decision making, in terms of choice of intervention, equipment needs, or assessment tool. Conclusions A Web-based knowledge resource may be a relatively inexpensive method to increase access to evidence-based information, increase knowledge of the evidence, inform changes to the health providers’ practice, and influence their clinical decision making. PMID:25537167
DOE Office of Scientific and Technical Information (OSTI.GOV)
McNair, Helen A.; Hansen, Vibeke N.; Parker, Christopher
2008-05-01
Purpose: To evaluate the utility of intraprostatic markers in the treatment verification of prostate cancer radiotherapy. Specific aims were: to compare the effectiveness of offline correction protocols, either using gold markers or bony anatomy; to estimate the potential benefit of online correction protocol's using gold markers; to determine the presence and effect of intrafraction motion. Methods and Materials: Thirty patients with three gold markers inserted had pretreatment and posttreatment images acquired and were treated using an offline correction protocol and gold markers. Retrospectively, an offline protocol was applied using bony anatomy and an online protocol using gold markers. Results: Themore » systematic errors were reduced from 1.3, 1.9, and 2.5 mm to 1.1, 1.1, and 1.5 mm in the right-left (RL), superoinferior (SI), and anteroposterior (AP) directions, respectively, using the offline correction protocol and gold markers instead of bony anatomy. The subsequent decrease in margins was 1.7, 3.3, and 4 mm in the RL, SI, and AP directions, respectively. An offline correction protocol combined with an online correction protocol in the first four fractions reduced random errors further to 0.9, 1.1, and 1.0 mm in the RL, SI, and AP directions, respectively. A daily online protocol reduced all errors to <1 mm. Intrafraction motion had greater impact on the effectiveness of the online protocol than the offline protocols. Conclusions: An offline protocol using gold markers is effective in reducing the systematic error. The value of online protocols is reduced by intrafraction motion.« less
Bennett, Brooke L; Goldstein, Carly M; Gathright, Emily C; Hughes, Joel W; Latner, Janet D
2017-12-01
Given rising technology use across all demographic groups, digital interventions offer a potential strategy for increasing access to health information and care. Research is lacking on identifying individual differences that impact willingness to use digital interventions, which may affect patient engagement. Health locus of control, the amount of control an individual believes they have over their own health, may predict willingness to use mobile health (mHealth) applications ('apps') and online trackers. A cross-sectional study (n = 276) was conducted to assess college students' health locus of control beliefs and willingness to use health apps and online trackers. Internal and powerful other health locus of control beliefs predicted willingness to use health apps and online trackers while chance health locus of control beliefs did not. Individuals with internal and powerful other health locus of control beliefs are more willing than those with chance health locus of control beliefs to utilize a form of technology to monitor or change health behaviors. Health locus of control is an easy-to-assess patient characteristic providers can measure to identify which patients are more likely to utilize mHealth apps and online trackers.
Social interactions in an online self-management program for rheumatoid arthritis.
Shigaki, Cheryl L; Smarr, Karen L; Gong, Yang; Donovan-Hanson, Kathleen; Siva, Chokkalingam; Johnson, Rebecca A; Ge, Bin; Musser, Dale R
2008-12-01
To evaluate social interactions among individuals with rheumatoid arthritis (RA), participating in an empirically based, cognitive-behavioural, self-management (SM), and peer-support program, delivered in an online format. Thirty individuals with RA were recruited online. Subjects were a subset of participants in the treatment arm of a waiting-list controlled study testing the effectiveness of a 10-week, online, SM education and peer support program. Primary outcomes were process variables describing social activity in the online environment during active treatment. Qualitative review of discussion board posts was undertaken to gain insight into participants' perceptions of social interactions. Participants spent a large proportion of logged-in time accessing educational materials and community-level activity was vibrant, with members utilizing the discussion board and e-mail. The Chat feature was less well-used. Discussion board posts regarding RAHelp were very positive, especially in regard to perceived supportiveness and bonding among participants, and a sense of feeling uniquely understood by others who have RA. Concern arose in response to periods in which the discussion board was 'too quiet'. Our work complements the emerging literature supporting acceptance and utility of Internet-based programming as a venue for SM education and social interaction among individuals with chronic illness.
Counseling activity in single-session online counseling with adolescents: an adherence study.
Chardon, Lydia; Bagraith, Karl S; King, Robert John
2011-09-01
While online counseling is increasingly utilized, little is known about what counseling work takes place in the online environment. The aim of this study was to quantify online counseling activity by determining counselors' adherence to the widely used model in which they had been trained. Transcripts (n=85) of online counseling with adolescents were evaluated, using a standardized and psychometrically sound instrument. We found that, while counseling in 53% of transcripts progressed through each of the key stages of counseling, the focus of most sessions was information gathering; and goal exploration and action planning were typically superficial and often absent. Possible reasons for low counseling depth are discussed and recommendations made for the further development of online counseling.
Jordán, Carlos M; Díaz, Marta I; Comeche, María I; Ortega, José
2007-01-01
Background Internet psychology services are rapidly increasing and that implies online assessment. To guarantee the results of these new online evaluation procedures, it is necessary to have reliable and valid assessment tools. Objective In this work we analyzed the online versions of two popular psychopathology screening questionnaires: the General Health Questionnaire-28 (GHQ-28) and the Symptoms Check-List-90-Revised (SCL-90-R). Methods A total of 185 psychology students were recruited from two universities in Madrid, Spain. All of them had Internet access at home. A test-retest situation and factorial analysis were used to generate reliability and validity data. Both paper-and-pencil questionnaires (test) and their online versions (retest) were completed by 100 participants (median gap = 17 days). Results Results suggest that both online questionnaires were fairly equivalent to their paper-and-pencil versions, with higher reliability values for the SCL-90-R. Factorial analysis tended to reproduce the structure shown in former investigations of both questionnaires, replicating the four-factor structure of the GHQ-28 but failing to do so with the nine-factor structure of the SCL-90-R. Instead, a large unrotated factor appeared. Conclusions Further research should be carried out to confirm these data, but our work supports the online use of both assessment tools. The psychometric properties of the online version of GHQ-28 is similar to the paper-and-pencil and we can recommend its utilization in a Web environment. In contrast, SCL-90-R can only be recommended as a global index for psychological distress, using the Global Severity Index (GSI), not necessarily its subscales; and it should be considered that the online scores were lower than the ones with the paper-and-pencil version. PMID:17478411
Costs and Efficiency of Online and Offline Recruitment Methods: A Web-Based Cohort Study
Riis, Anders H; Hatch, Elizabeth E; Wise, Lauren A; Nielsen, Marie G; Rothman, Kenneth J; Toft Sørensen, Henrik; Mikkelsen, Ellen M
2017-01-01
Background The Internet is widely used to conduct research studies on health issues. Many different methods are used to recruit participants for such studies, but little is known about how various recruitment methods compare in terms of efficiency and costs. Objective The aim of our study was to compare online and offline recruitment methods for Internet-based studies in terms of efficiency (number of recruited participants) and costs per participant. Methods We employed several online and offline recruitment methods to enroll 18- to 45-year-old women in an Internet-based Danish prospective cohort study on fertility. Offline methods included press releases, posters, and flyers. Online methods comprised advertisements placed on five different websites, including Facebook and Netdoktor.dk. We defined seven categories of mutually exclusive recruitment methods and used electronic tracking via unique Uniform Resource Locator (URL) and self-reported data to identify the recruitment method for each participant. For each method, we calculated the average cost per participant and efficiency, that is, the total number of recruited participants. Results We recruited 8252 study participants. Of these, 534 were excluded as they could not be assigned to a specific recruitment method. The final study population included 7724 participants, of whom 803 (10.4%) were recruited by offline methods, 3985 (51.6%) by online methods, 2382 (30.8%) by online methods not initiated by us, and 554 (7.2%) by other methods. Overall, the average cost per participant was €6.22 for online methods initiated by us versus €9.06 for offline methods. Costs per participant ranged from €2.74 to €105.53 for online methods and from €0 to €67.50 for offline methods. Lowest average costs per participant were for those recruited from Netdoktor.dk (€2.99) and from Facebook (€3.44). Conclusions In our Internet-based cohort study, online recruitment methods were superior to offline methods in terms of efficiency (total number of participants enrolled). The average cost per recruited participant was also lower for online than for offline methods, although costs varied greatly among both online and offline recruitment methods. We observed a decrease in the efficiency of some online recruitment methods over time, suggesting that it may be optimal to adopt multiple online methods. PMID:28249833
Wu, Anise M. S.; Lai, Mark H. C.; Yu, Shu; Lau, Joseph T. F.; Lei, Man-wai
2017-01-01
Background and aims Internet gaming disorder (IGD) imposes a potential public health threat worldwide. Gaming motives are potentially salient factors of IGD, but research on Chinese gaming motives is scarce. This study empirically evaluated the psychometric properties of the Chinese version of the Motives for Online Gaming Questionnaire (C-MOGQ), the first inventory that measures seven different gaming motives applicable to all type of online games. We also investigated the associations between various gaming motives and IGD symptoms among Chinese gamers. Methods Three hundred and eighty-three Chinese adult online gamers (Mean age = 23.7 years) voluntarily completed our online, anonymous survey in December 2015. Results The confirmatory factor analysis results supported a bi-factor model with a general factor subsuming all C-MOGQ items (General Motivation) and seven uncorrelated domain-specific factors (Escape, Coping, Fantasy, Skill Development, Recreation, Competition, and Social). High internal consistencies of the overall scale and subscales were observed. The criterion-related validity of this Chinese version was also supported by the positive correlations of C-MOGQ scale scores with psychological need satisfaction and time spent gaming. Furthermore, we found that high General Motivation (coupled with high Escape motive and low Skill Development motive) was associated with more IGD symptoms reported by our Chinese participants. Discussion and conclusions Our findings demonstrated the utility of C-MOGQ in measuring gaming motives of Chinese online gamers, and we recommend the consideration of both its total score and subscale scores in future studies. PMID:28264590
Global Reach of Direct-to-Consumer Advertising Using Social Media for Illicit Online Drug Sales
Liang, Bryan A
2013-01-01
Background Illicit or rogue Internet pharmacies are a recognized global public health threat that have been identified as utilizing various forms of online marketing and promotion, including social media. Objective To assess the accessibility of creating illicit no prescription direct-to-consumer advertising (DTCA) online pharmacy social media marketing (eDTCA2.0) and evaluate its potential global reach. Methods We identified the top 4 social media platforms allowing eDTCA2.0. After determining applicable platforms (ie, Facebook, Twitter, Google+, and MySpace), we created a fictitious advertisement advertising no prescription drugs online and posted it to the identified social media platforms. Each advertisement linked to a unique website URL that consisted of a site error page. Employing Web search analytics, we tracked the number of users visiting these sites and their location. We used commercially available Internet tools and services, including website hosting, domain registration, and website analytic services. Results Illicit online pharmacy social media content for Facebook, Twitter, and MySpace remained accessible despite highly questionable and potentially illegal content. Fictitious advertisements promoting illicit sale of drugs generated aggregate unique user traffic of 2795 visits over a 10-month period. Further, traffic to our websites originated from a number of countries, including high-income and middle-income countries, and emerging markets. Conclusions Our results indicate there are few barriers to entry for social media–based illicit online drug marketing. Further, illicit eDTCA2.0 has globalized outside US borders to other countries through unregulated Internet marketing. PMID:23718965
NASA Astrophysics Data System (ADS)
Hardegree-Ullman, Kevin; Impey, C. D.; Patikkal, A.
2012-05-01
This year we implemented Teach Astronomy (www.teachastronomy.com) as a free online resource to be used as a teaching tool for non-science major astronomy courses and for a general audience interested in the subject. The comprehensive content includes: an introductory astronomy text book by Chris Impey, astronomy articles on Wikipedia, images from the Astronomy Picture of the Day, two to three minute topical video clips by Chris Impey, podcasts from 365 Days of Astronomy, and astronomy news from Science Daily. Teach Astronomy utilizes a novel technology to cluster, display, and navigate search results, called a Wikimap. Steep increases in textbook prices and the unique capabilities of emerging web technology motivated the development of this free online resource. Recent additions to Teach Astronomy include: images and diagrams for the textbook articles, mobile device implementation, and suggested homework assignments for instructors that utilize recent discoveries in astronomy. We present an overview of how Teach Astronomy has been implemented for use in the classroom and informal settings, and suggestions for utilizing the rich content and features of the web site.
Federal Register 2010, 2011, 2012, 2013, 2014
2012-04-30
..., console, or any platform broadly accessible on the open internet. 4. Data--The online or mobile... Registration for the U.S. DOT Motorcoach Safety Data Utilization Student Challenge AGENCY: Federal Motor... Motorcoach Safety Data Utilization Student Challenge. The purpose of the Challenge is to facilitate the...
Utilizing Online Training for Child Sexual Abuse Prevention: Benefits and Limitations
ERIC Educational Resources Information Center
Paranal, Rechelle; Thomas, Kiona Washington; Derrick, Christina
2012-01-01
The prevalence of child sexual abuse demands innovative approaches to prevent further victimization. The online environment provides new opportunities to expand existing child sexual abuse prevention trainings that target adult gatekeepers and allow for large scale interventions that are fiscally viable. This article discusses the benefits and…
Instructional Design and Online Learning: A Quality Assurance Study
ERIC Educational Resources Information Center
Monroe, Rose M.
2011-01-01
The purpose of this study was to investigate the difference in the evaluations of online course quality using the Quality Matters model among four groups of reviewers: instructional designers, faculty with subject-matter expertise, peer faculty with no subject-matter expertise, and administrators. A causal-comparative design was utilized to…
Effects of Collaborative Online Learning on EFL Learners' Writing Performance and Self-Efficacy
ERIC Educational Resources Information Center
Tai, Hung-Cheng
2016-01-01
This study explored the effects of collaborative writing instruction on undergraduate nursing students' writing performance and self-efficacy beliefs within an online learning system. A single-group experimental study utilized two instruments, the NCEEC (National College Entrance Examination Center) writing grading criteria (the SRCT) and a…
Internet Auction Sellers: Does Size Really Matter?
ERIC Educational Resources Information Center
Halstead, Diane; Becherer, Richard C.
2003-01-01
Examines the Internet auction phenomenon as it relates to the marketing mix of online auction sellers. The data indicate that, while there is great diversity among businesses that utilize online auctions, distinct cost leadership and differentiation marketing strategies are both evident. These two approaches are further distinguished in terms of…
Community College Students with Psychological Disorders and Their Perceptions of Online Learning
ERIC Educational Resources Information Center
Warren, Gretchen Winifred Langford
2014-01-01
Research focusing on students with learning disabilities is abundant for secondary and higher education. Studies utilizing data on students with psychological disorders cover secondary and 4-year university education. However, community college students with psychological disorders and their perception of online classes is an area of educational…
Online Searching in PBL Tutorials
ERIC Educational Resources Information Center
Jin, Jun; Bridges, Susan M.; Botelho, Michael G.; Chan, Lap Ki
2015-01-01
This study aims to explore how online searching plays a role during PBL tutorials in two undergraduate health sciences curricula, Medicine and Dentistry. Utilizing Interactional Ethnography (IE) as an organizing framework for data collection and analysis, and drawing on a critical theory of technology as an explanatory lens, enabled a textured…
On Online Assignments in a Calculus Class
ERIC Educational Resources Information Center
Jungic, Veselin; Kent, Deborah; Menz, Petra
2012-01-01
In this paper, we describe our experience with the creation and utilization of online assignments for several calculus classes at Simon Fraser University (SFU). We present our findings regarding available software by considering the needs and perspectives of the instructors, students, and administrators. We provide a list of questions that guide…
Online Education in Public Affairs
ERIC Educational Resources Information Center
Ginn, Martha H.; Hammond, Augustine
2012-01-01
This exploratory study provides an overview of the current landscape of online education in the fields of Master of Public Administration and Master of Public Policy (MPA/MPP) utilizing a dataset compiled from content analysis of MPA/MPP programs' websites and survey of 96 National Association of Schools of Public Affairs and Administration…
Developing Adaptable Online Information Literacy Modules for a Learning Management System
ERIC Educational Resources Information Center
Mune, Christina; Goldman, Crystal; Higgins, Silke; Eby, Laurel; Chan, Emily K.; Crotty, Linda
2015-01-01
Higher education institutions increasingly utilize learning management systems (LMS) to teach courses and programs in hybrid or online-only formats. Providing information literacy instruction in these emerging digital environments poses challenges to librarians as the delivery of instruction requires familiarity with navigating an LMS and…
Motivating Instructors through Innovative Technology and Pedagogy
ERIC Educational Resources Information Center
Weber, Nicole L.; Barth, Dylan J.
2016-01-01
Members of the UWM CETL online and blended faculty development team share innovative technological and pedagogical strategies that they currently utilize to motivate and assist instructors in developing courses for the online or blended environments, and they discuss the lessons learned from incorporating active learning, open content, bring your…
Assessing Student Learning Online: Overcoming Reliability Issues
ERIC Educational Resources Information Center
Arnold, Stephen D.
2012-01-01
Assessing students in online university courses poses challenges to the reliability factor of the measures being utilized. Some programs have the latitude to incorporate proctored assessments, but this is not always practical in asynchronously structured courses reaching out across a broad geographic region. This paper explores digital audio and…
Skype Synchronous Interaction Effectiveness in a Quantitative Management Science Course
ERIC Educational Resources Information Center
Strang, Kenneth David
2012-01-01
An experiment compared asynchronous versus synchronous instruction in an online quantitative course. Mann-Whitney U-tests, correlation, analysis of variance, t tests, and multivariate analysis of covariance (MANCOVA) were utilized to test the hypothesis that more high-quality online experiential learning interactions would increase grade.…
A collaborative effort to monitor the upper Mississippi River watershed using On-line Toxicity Monitors (OTMs) is underway with three sites currently deployed and several more at various stages of development. Federal, State, and Local, agencies as well as utilities and Universi...
An Examination of the Role of Online Technology in School Counseling
ERIC Educational Resources Information Center
Kimbel, Tracy M.; Jacokes, Darlene E.; Stone, Carolyn B.
2015-01-01
A national study conducted with the members of the American School Counselor Association (ASCA) database examined school counselors' utilization of online technologies. The researchers also explored beliefs and practices and examined mitigating factors such as school counselors' background, training, and experience. Training impacted counselors'…
Why Choose Online Learning: Relationship of Existing Factors and Chronobiology
ERIC Educational Resources Information Center
Luo, Yi; Pan, Rui; Choi, Jea H.; Mellish, Linda; Strobel, Johannes
2011-01-01
Existing research on choice of online learning utilized factors such as perceived level of control, independence, and satisfaction, yet the relationship among these factors is under-researched. Due to the value of "learning anytime," biological factors underlying "choice of time" might provide additional insights. This article…
Cost Effectiveness of On-Line Retrieval System.
ERIC Educational Resources Information Center
King, Donald W.; Neel, Peggy W.
A recently developed cost-effectiveness model for on-line retrieval systems is discussed through use of an example utilizing performance results collected from several independent sources and cost data derived for a recently completed study for the American Psychological Association. One of the primary attributes of the model rests in its great…
Improving Research Participant Ethics: The Utility of an Online Educational Module
ERIC Educational Resources Information Center
Barber, Larissa K.; Bailey, Sarah F.; Bagsby, Patricia G.
2015-01-01
The undergraduate psychology curriculum often does not address guidelines for acceptable participant behavior. This two-part study tested the efficacy of a recently developed online learning module on ethical perceptions, knowledge, and behavior. In the preliminary quasi-experiment, students who viewed the module did not have higher…
Rodrigo, Chaturaka; Maduranga, Sachith; Withana, Milinda; Fernando, Deepika; Rajapakse, Senaka
2015-10-27
Use of reference sources for medical knowledge has changed dramatically over the last two decades with the introduction of online sources of information. This study analyses the medical knowledge seeking behaviours of pre interns and early career doctors in Sri Lanka. This cross sectional survey with a convenience sample was conducted at two sites targeting two groups; pre-intern doctors graduated from the Faculty of Medicine, University of Colombo and early career doctors following a postgraduate course at the National Hospital of Sri Lanka. The data collection tool was an online self-administered questionnaire (paper based questionnaires used on request) that probed the patterns of using reference sources for medical knowledge. The respondents comprised of 52 pre-interns and 34 early career doctors. A majority (98 %) had internet access. Early career doctors preferred online resources significantly more than the pre-interns. However, the utilization of online resources for evidence synthesis and planning research was unsatisfactory in both groups. A significant proportion (35 %) responded that they had never read a systematic review. Only one person in the entire sample had co-authored a review article. The use of online resources by participants seems to be satisfactory with a majority shifting to reliable online resources as a reference point for medical knowledge. However, a closer look at the usage patterns reveal that online resources that can be used for more innovative tasks such as evidence synthesis are grossly under-utilized.
Proudfoot, Judith; Andrews, Annie; Liaw, Siaw-Teng; Crimmins, Jacinta; Arguel, Amaël; Coiera, Enrico
2013-01-01
Background Personally controlled health management systems (PCHMS), which include a personal health record (PHR), health management tools, and consumer resources, represent the next stage in consumer eHealth systems. It is still unclear, however, what features contribute to an engaging and efficacious PCHMS. Objective To identify features in a Web-based PCHMS that are associated with consumer utilization of primary care and counselling services, and help-seeking rates for physical and emotional well-being concerns. Methods A one-group pre/posttest online prospective study was conducted on a university campus to measure use of a PCHMS for physical and emotional well-being needs during a university academic semester (July to November 2011). The PCHMS integrated an untethered personal health record (PHR) with well-being journeys, social forums, polls, diaries, and online messaging links with a health service provider, where journeys provide information for consumer participants to engage with clinicians and health services in an actionable way. 1985 students and staff aged 18 and above with access to the Internet were recruited online. Logistic regression, the Pearson product-moment correlation coefficient, and chi-square analyses were used to associate participants’ help-seeking behaviors and health service utilization with PCHMS usage among the 709 participants eligible for analysis. Results A dose-response association was detected between the number of times a user logged into the PCHMS and the number of visits to a health care professional (P=.01), to the university counselling service (P=.03), and help-seeking rates (formal or informal) for emotional well-being matters (P=.03). No significant association was detected between participant pre-study characteristics or well-being ratings at different PCHMS login frequencies. Health service utilization was strongly correlated with use of a bundle of features including: online appointment booking (primary care: OR 1.74, 95% CI 1.01-3.00; counselling: OR 6.04, 95% CI 2.30-15.85), personal health record (health care professional: OR 2.82, 95% CI 1.63-4.89), the poll (health care professional: OR 1.47, 95% CI 1.02-2.12), and diary (counselling: OR 4.92, 95% CI 1.40-17.35). Help-seeking for physical well-being matters was only correlated with use of the personal health record (OR 1.73, 95% CI 1.18-2.53). Help-seeking for emotional well-being concerns (including visits to the university counselling service) was correlated with a bundle comprising the poll (formal or informal help-seeking: OR 1.03, 95% CI 1.00-1.05), diary (counselling: OR 4.92, 95% CI 1.40-17.35), and online appointment booking (counselling: OR 6.04, 95% CI 2.30-15.85). Conclusions Frequent usage of a PCHMS was significantly associated with increased consumer health service utilization and help-seeking rates for emotional health matters in a university sample. Different bundles of PCHMS features were associated with physical and emotional well-being matters. PCHMS appears to be a promising mechanism to engage consumers in help-seeking or health service utilization for physical and emotional well-being matters. PMID:23649790
A structured review of health utility measures and elicitation in advanced/metastatic breast cancer.
Hao, Yanni; Wolfram, Verena; Cook, Jennifer
2016-01-01
Health utilities are increasingly incorporated in health economic evaluations. Different elicitation methods, direct and indirect, have been established in the past. This study examined the evidence on health utility elicitation previously reported in advanced/metastatic breast cancer and aimed to link these results to requirements of reimbursement bodies. Searches were conducted using a detailed search strategy across several electronic databases (MEDLINE, EMBASE, Cochrane Library, and EconLit databases), online sources (Cost-effectiveness Analysis Registry and the Health Economics Research Center), and web sites of health technology assessment (HTA) bodies. Publications were selected based on the search strategy and the overall study objectives. A total of 768 publications were identified in the searches, and 26 publications, comprising 18 journal articles and eight submissions to HTA bodies, were included in the evidence review. Most journal articles derived utilities from the European Quality of Life Five-Dimensions questionnaire (EQ-5D). Other utility measures, such as the direct methods standard gamble (SG), time trade-off (TTO), and visual analog scale (VAS), were less frequently used. Several studies described mapping algorithms to generate utilities from disease-specific health-related quality of life (HRQOL) instruments such as European Organization for Research and Treatment of Cancer Quality of Life Questionnaire - Core 30 (EORTC QLQ-C30), European Organization for Research and Treatment of Cancer Quality of Life Questionnaire - Breast Cancer 23 (EORTC QLQ-BR23), Functional Assessment of Cancer Therapy - General questionnaire (FACT-G), and Utility-Based Questionnaire-Cancer (UBQ-C); most used EQ-5D as the reference. Sociodemographic factors that affect health utilities, such as age, sex, income, and education, as well as disease progression, choice of utility elicitation method, and country settings, were identified within the journal articles. Most submissions to HTA bodies obtained utility values from the literature rather than exploring the HRQOL data obtained during clinical development. This was critiqued by the National Institute for Health and Clinical Excellence (NICE). Furthermore, the impact of age on utilities was highlighted by NICE and it was suggested that an age match of the study population should be attempted. Health utilities are recorded across the globe to varying extents and using differing elicitation methods. Manufacturers seeking reimbursement need to be aware of the country-specific requirements for elicitation of health utilities.
WebArray: an online platform for microarray data analysis
Xia, Xiaoqin; McClelland, Michael; Wang, Yipeng
2005-01-01
Background Many cutting-edge microarray analysis tools and algorithms, including commonly used limma and affy packages in Bioconductor, need sophisticated knowledge of mathematics, statistics and computer skills for implementation. Commercially available software can provide a user-friendly interface at considerable cost. To facilitate the use of these tools for microarray data analysis on an open platform we developed an online microarray data analysis platform, WebArray, for bench biologists to utilize these tools to explore data from single/dual color microarray experiments. Results The currently implemented functions were based on limma and affy package from Bioconductor, the spacings LOESS histogram (SPLOSH) method, PCA-assisted normalization method and genome mapping method. WebArray incorporates these packages and provides a user-friendly interface for accessing a wide range of key functions of limma and others, such as spot quality weight, background correction, graphical plotting, normalization, linear modeling, empirical bayes statistical analysis, false discovery rate (FDR) estimation, chromosomal mapping for genome comparison. Conclusion WebArray offers a convenient platform for bench biologists to access several cutting-edge microarray data analysis tools. The website is freely available at . It runs on a Linux server with Apache and MySQL. PMID:16371165
Forecasting influenza in Hong Kong with Google search queries and statistical model fusion
Ramirez Ramirez, L. Leticia; Nezafati, Kusha; Zhang, Qingpeng; Tsui, Kwok-Leung
2017-01-01
Background The objective of this study is to investigate predictive utility of online social media and web search queries, particularly, Google search data, to forecast new cases of influenza-like-illness (ILI) in general outpatient clinics (GOPC) in Hong Kong. To mitigate the impact of sensitivity to self-excitement (i.e., fickle media interest) and other artifacts of online social media data, in our approach we fuse multiple offline and online data sources. Methods Four individual models: generalized linear model (GLM), least absolute shrinkage and selection operator (LASSO), autoregressive integrated moving average (ARIMA), and deep learning (DL) with Feedforward Neural Networks (FNN) are employed to forecast ILI-GOPC both one week and two weeks in advance. The covariates include Google search queries, meteorological data, and previously recorded offline ILI. To our knowledge, this is the first study that introduces deep learning methodology into surveillance of infectious diseases and investigates its predictive utility. Furthermore, to exploit the strength from each individual forecasting models, we use statistical model fusion, using Bayesian model averaging (BMA), which allows a systematic integration of multiple forecast scenarios. For each model, an adaptive approach is used to capture the recent relationship between ILI and covariates. Results DL with FNN appears to deliver the most competitive predictive performance among the four considered individual models. Combing all four models in a comprehensive BMA framework allows to further improve such predictive evaluation metrics as root mean squared error (RMSE) and mean absolute predictive error (MAPE). Nevertheless, DL with FNN remains the preferred method for predicting locations of influenza peaks. Conclusions The proposed approach can be viewed a feasible alternative to forecast ILI in Hong Kong or other countries where ILI has no constant seasonal trend and influenza data resources are limited. The proposed methodology is easily tractable and computationally efficient. PMID:28464015
Concept of an advanced hyperspectral remote sensing system for pipeline monitoring
NASA Astrophysics Data System (ADS)
Keskin, Göksu; Teutsch, Caroline D.; Lenz, Andreas; Middelmann, Wolfgang
2015-10-01
Areas occupied by oil pipelines and storage facilities are prone to severe contamination due to leaks caused by natural forces, poor maintenance or third parties. These threats have to be detected as quickly as possible in order to prevent serious environmental damage. Periodical and emergency monitoring activities need to be carried out for successful disaster management and pollution minimization. Airborne remote sensing stands out as an appropriate choice to operate either in an emergency or periodically. Hydrocarbon Index (HI) and Hydrocarbon Detection Index (HDI) utilize the unique absorption features of hydrocarbon based materials at SWIR spectral region. These band ratio based methods require no a priori knowledge of the reference spectrum and can be calculated in real time. This work introduces a flexible airborne pipeline monitoring system based on the online quasi-operational hyperspectral remote sensing system developed at Fraunhofer IOSB, utilizing HI and HDI for oil leak detection on the data acquired by an SWIR imaging sensor. Robustness of HI and HDI compared to state of the art detection algorithms is evaluated in an experimental setup using a synthetic dataset, which was prepared in a systematic way to simulate linear mixtures of selected background and oil spectra consisting of gradually decreasing percentages of oil content. Real airborne measurements in Ettlingen, Germany are used to gather background data while the crude oil spectrum was measured with a field spectrometer. The results indicate that the system can be utilized for online and offline monitoring activities.
Amith, Muhammad; Cunningham, Rachel; Savas, Lara S; Boom, Julie; Schvaneveldt, Roger; Tao, Cui; Cohen, Trevor
2017-10-01
This study demonstrates the use of distributed vector representations and Pathfinder Network Scaling (PFNETS) to represent online vaccine content created by health experts and by laypeople. By analyzing a target audience's conceptualization of a topic, domain experts can develop targeted interventions to improve the basic health knowledge of consumers. The underlying assumption is that the content created by different groups reflects the mental organization of their knowledge. Applying automated text analysis to this content may elucidate differences between the knowledge structures of laypeople (heath consumers) and professionals (health experts). This paper utilizes vaccine information generated by laypeople and health experts to investigate the utility of this approach. We used an established technique from cognitive psychology, Pathfinder Network Scaling to infer the structure of the associational networks between concepts learned from online content using methods of distributional semantics. In doing so, we extend the original application of PFNETS to infer knowledge structures from individual participants, to infer the prevailing knowledge structures within communities of content authors. The resulting graphs reveal opportunities for public health and vaccination education experts to improve communication and intervention efforts directed towards health consumers. Our efforts demonstrate the feasibility of using an automated procedure to examine the manifestation of conceptual models within large bodies of free text, revealing evidence of conflicting understanding of vaccine concepts among health consumers as compared with health experts. Additionally, this study provides insight into the differences between consumer and expert abstraction of domain knowledge, revealing vaccine-related knowledge gaps that suggest opportunities to improve provider-patient communication. Copyright © 2017 Elsevier Inc. All rights reserved.
Cancilla, P A; Barrette, P; Rosenblum, F
2002-12-01
The manual gravimetric drying moisture determination methods currently employed by most mineral processing plants fail to provide timely and accurate information required for automatic control. The costs associated with transporting and handling concentrates still represent a major portion of the overall treatment price. When considering the cash flow of a mining operation that is governed by both the smelter contract, with moisture penalties and the quantity and quality of the concentrates shipped, an efficient method of on-line moisture content would be a welcome tool. A novel on-line determination system for ore concentrate moisture content would replace the tedious manual procedure. Since the introduction of microelectronic-based control systems, operators have strived to reduce the treatment costs to the minimum. Therefore, a representative and timely determination of on-line moisture content becomes vital for control set points and timely feedback. Reliable sensors have long been on the 'wish list' of mineral processors since the problem has always been that you can only control what you can measure. Today, the task of moisture determination is still done by the classical technique of loss in weight utilizing uncontrolled procedures. These same methods were introduced in the earliest base metal concentrators. Generally, it is acceptable to have ore concentrate moisture content vary within a range of 7-9%, but controlling the moisture content below 8% is a difficult task with a manually controlled system. Many times, delays in manually achieving reliable feedback of the moisture content results in the moisture varying from 5-12% before corrective actions can be made. This paper first reviews the traditional and widely available methods for determining moisture content in granular materials by applying physical principles and properties to measure moisture content. All methods are in some form affected when employed on mineral ore concentrates. This paper introduces and describes a novel on-line moisture sensor employed for mineral processing de-watering applications, which not only automates the tedious tasks but also results in reliable moisture feedback that can be used in the optimization of the de-watering process equipment such as pressure or vacuum filters and fuel-fired driers. Finally, two measurement applications will be presented which indicate the usefulness and summarizes the measurement requirements for the proposed method of employing drag force and mechanical properties of the material itself to determine the moisture content. Copyright 2002 Elsevier Science Ltd.
Fast online replanning for interfraction rotation correction in prostate radiotherapy.
Kontaxis, Charis; Bol, Gijsbert H; Kerkmeijer, Linda G W; Lagendijk, Jan J W; Raaymakers, Bas W
2017-10-01
To enable fast online replanning for prostate radiotherapy with the inclusion of interfraction rotations and translations and investigate the possibility for margin reduction via this regime. Online daily replanning for a 35-fraction treatment for five prostate cases is simulated while accounting for anatomical transformations derived from fiducial marker data available in our clinic. Two online replanning strategies were simulated, compensating for: (a) rotation-only in combination with a couch shift and (b) both translation and rotation without a couch shift. They were compared against our current clinical protocol consisting of a single offline plan used over all fractions with daily couch repositioning (translations only). For every patient, the above methods were generated for several planning margins (0-8 mm with 2 mm increments) in order to assess the performance of online replanning in terms of target coverage and investigate the possible dosimetric benefit for the organs at risk. The daily DVHs for each treatment strategy were used for evaluation and the non tumor integral dose (NTID) for the different margins was calculated in order to quantify the overall reduction of the delivered energy to the patient. Our system is able to generate a daily automated prostate plan in less than 2 min. For every patient, the daily treatment plans produce similar dose distributions to the original approved plan (average CTV D99 relative difference: 0.2%). The inclusion of both shifts and rotations can be effectively compensated via replanning among all planning margins (average CTV D99 difference: 0.01 Gy between the two replanning regimes). Online replanning is able to maintain target coverage among all margins, while - as expected - the conventional treatment plan is increasingly affected by the interfraction rotations as the margins shrink (average CTV D99 decrease: 0.2 Gy at 8 mm to 2.9 Gy at 0 mm margin). The possible gain in total delivered energy to the patient was quantified by the decreased NTID ranging from 12.6% at 6 mm to 32.9% at 0 mm. We demonstrate that fast daily replanning can be utilized to account for daily rotations and translations based on the daily positioning protocol. A daily plan can be generated from scratch in less than 2 min making it suitable for online application. Given the large magnitude of prostate rotation around the LR axis, online correction for daily rotations can be beneficial even for the clinical 8 mm margin and could be utilized for treatments with small margin reduction mainly limited then by anatomical deformations and intrafraction motion. Our online replanning pipeline can be used in future treatments with online MR guidance that can lead to further safe reduction of the planning margins. © 2017 The Authors. Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine.
A New Test Method of Circuit Breaker Spring Telescopic Characteristics Based Image Processing
NASA Astrophysics Data System (ADS)
Huang, Huimin; Wang, Feifeng; Lu, Yufeng; Xia, Xiaofei; Su, Yi
2018-06-01
This paper applied computer vision technology to the fatigue condition monitoring of springs, and a new telescopic characteristics test method is proposed for circuit breaker operating mechanism spring based on image processing technology. High-speed camera is utilized to capture spring movement image sequences when high voltage circuit breaker operated. Then the image-matching method is used to obtain the deformation-time curve and speed-time curve, and the spring expansion and deformation parameters are extracted from it, which will lay a foundation for subsequent spring force analysis and matching state evaluation. After performing simulation tests at the experimental site, this image analyzing method could solve the complex problems of traditional mechanical sensor installation and monitoring online, status assessment of the circuit breaker spring.
BPP: a sequence-based algorithm for branch point prediction.
Zhang, Qing; Fan, Xiaodan; Wang, Yejun; Sun, Ming-An; Shao, Jianlin; Guo, Dianjing
2017-10-15
Although high-throughput sequencing methods have been proposed to identify splicing branch points in the human genome, these methods can only detect a small fraction of the branch points subject to the sequencing depth, experimental cost and the expression level of the mRNA. An accurate computational model for branch point prediction is therefore an ongoing objective in human genome research. We here propose a novel branch point prediction algorithm that utilizes information on the branch point sequence and the polypyrimidine tract. Using experimentally validated data, we demonstrate that our proposed method outperforms existing methods. Availability and implementation: https://github.com/zhqingit/BPP. djguo@cuhk.edu.hk. Supplementary data are available at Bioinformatics online. © The Author (2017). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com
Online estimation of lithium-ion battery capacity using sparse Bayesian learning
NASA Astrophysics Data System (ADS)
Hu, Chao; Jain, Gaurav; Schmidt, Craig; Strief, Carrie; Sullivan, Melani
2015-09-01
Lithium-ion (Li-ion) rechargeable batteries are used as one of the major energy storage components for implantable medical devices. Reliability of Li-ion batteries used in these devices has been recognized as of high importance from a broad range of stakeholders, including medical device manufacturers, regulatory agencies, patients and physicians. To ensure a Li-ion battery operates reliably, it is important to develop health monitoring techniques that accurately estimate the capacity of the battery throughout its life-time. This paper presents a sparse Bayesian learning method that utilizes the charge voltage and current measurements to estimate the capacity of a Li-ion battery used in an implantable medical device. Relevance Vector Machine (RVM) is employed as a probabilistic kernel regression method to learn the complex dependency of the battery capacity on the characteristic features that are extracted from the charge voltage and current measurements. Owing to the sparsity property of RVM, the proposed method generates a reduced-scale regression model that consumes only a small fraction of the CPU time required by a full-scale model, which makes online capacity estimation computationally efficient. 10 years' continuous cycling data and post-explant cycling data obtained from Li-ion prismatic cells are used to verify the performance of the proposed method.
Hancerliogullari, Gulsah; Hancerliogullari, Kadir Oymen; Koksalmis, Emrah
2017-01-23
Determining the most suitable anesthesia method for circumcision surgery plays a fundamental role in pediatric surgery. This study is aimed to present pediatric surgeons' perspective on the relative importance of the criteria for selecting anesthesia method for circumcision surgery by utilizing the multi-criteria decision making methods. Fuzzy set theory offers a useful tool for transforming linguistic terms into numerical assessments. Since the evaluation of anesthesia methods requires linguistic terms, we utilize the fuzzy Analytic Hierarchy Process (AHP) and fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Both mathematical decision-making methods are originated from individual judgements for qualitative factors utilizing the pair-wise comparison matrix. Our model uses four main criteria, eight sub-criteria as well as three alternatives. To assess the relative priorities, an online questionnaire was completed by three experts, pediatric surgeons, who had experience with circumcision surgery. Discussion of the results with the experts indicates that time-related factors are the most important criteria, followed by psychology, convenience and duration. Moreover, general anesthesia with penile block for circumcision surgery is the preferred choice of anesthesia compared to general anesthesia without penile block, which has a greater priority compared to local anesthesia under the discussed main-criteria and sub-criteria. The results presented in this study highlight the need to integrate surgeons' criteria into the decision making process for selecting anesthesia methods. This is the first study in which multi-criteria decision making tools, specifically fuzzy AHP and fuzzy TOPSIS, are used to evaluate anesthesia methods for a pediatric surgical procedure.
Cai, Jun; Deng, Yun; Yang, Junfeng; Zhou, Xinmin; Tan, Lina
2018-01-01
Reducing costs is a pragmatic method for promoting the widespread usage of indoor localization technology. Conventional indoor localization systems (ILSs) exploit relatively expensive wireless chips to measure received signal strength for positioning. Our work is based on a cheap and widely-used commercial off-the-shelf (COTS) wireless chip, i.e., the Nordic Semiconductor nRF24LE1, which has only several output power levels, and proposes a new power level based-ILS, called Plils. The localization procedure incorporates two phases: an offline training phase and an online localization phase. In the offline training phase, a self-organizing map (SOM) is utilized for dividing a target area into k subregions, wherein their grids in the same subregion have similar fingerprints. In the online localization phase, the support vector machine (SVM) and back propagation (BP) neural network methods are adopted to identify which subregion a tagged object is located in, and calculate its exact location, respectively. The reasonable value for k has been discussed as well. Our experiments show that Plils achieves 75 cm accuracy on average, and is robust to indoor obstacles. PMID:29329226
Li, Xiaolong; Yang, Yifu; Cai, Jun; Deng, Yun; Yang, Junfeng; Zhou, Xinmin; Tan, Lina
2018-01-12
Reducing costs is a pragmatic method for promoting the widespread usage of indoor localization technology. Conventional indoor localization systems (ILSs) exploit relatively expensive wireless chips to measure received signal strength for positioning. Our work is based on a cheap and widely-used commercial off-the-shelf (COTS) wireless chip, i.e., the Nordic Semiconductor nRF24LE1, which has only several output power levels, and proposes a new power level based-ILS, called Plils. The localization procedure incorporates two phases: an offline training phase and an online localization phase. In the offline training phase, a self-organizing map (SOM) is utilized for dividing a target area into k subregions, wherein their grids in the same subregion have similar fingerprints. In the online localization phase, the support vector machine (SVM) and back propagation (BP) neural network methods are adopted to identify which subregion a tagged object is located in, and calculate its exact location, respectively. The reasonable value for k has been discussed as well. Our experiments show that Plils achieves 75 cm accuracy on average, and is robust to indoor obstacles.
E-learning and professional development--never too old to learn.
Gill, Anthony
A growing concern among healthcare professionals is the need to continually update knowledge and skills in order to enhance clinical practice. It is recognized that there are major concerns about recruitment and retention of staff within health care, and an increasing need for greater emphasis on valuing the existing workforce. This article contributes to the debate about the role of e-learning in conjunction with continuing professional development (CPD) and personal professional development. It describes how healthcare professionals utilized an innovative, self-managed, pick-up and put-down distance learning module delivered online or by CD-ROM. Staff enrolled on the module were encouraged to complete a questionnaire online or by post upon completion of each unit; to enhance validity, telephone interviews were also conducted with selected staff. Results indicate that participants showed some improvement in all categories, especially patient care where 90% of staff reported some improvement after completing the course. This particular method of teaching and learning was shown to be favoured by staff as a method of CPD, and thus has the potential to enhance patient care.
NASA Astrophysics Data System (ADS)
Moraes Rêgo, Patrícia Helena; Viana da Fonseca Neto, João; Ferreira, Ernesto M.
2015-08-01
The main focus of this article is to present a proposal to solve, via UDUT factorisation, the convergence and numerical stability problems that are related to the covariance matrix ill-conditioning of the recursive least squares (RLS) approach for online approximations of the algebraic Riccati equation (ARE) solution associated with the discrete linear quadratic regulator (DLQR) problem formulated in the actor-critic reinforcement learning and approximate dynamic programming context. The parameterisations of the Bellman equation, utility function and dynamic system as well as the algebra of Kronecker product assemble a framework for the solution of the DLQR problem. The condition number and the positivity parameter of the covariance matrix are associated with statistical metrics for evaluating the approximation performance of the ARE solution via RLS-based estimators. The performance of RLS approximators is also evaluated in terms of consistence and polarisation when associated with reinforcement learning methods. The used methodology contemplates realisations of online designs for DLQR controllers that is evaluated in a multivariable dynamic system model.
Costs and Efficiency of Online and Offline Recruitment Methods: A Web-Based Cohort Study.
Christensen, Tina; Riis, Anders H; Hatch, Elizabeth E; Wise, Lauren A; Nielsen, Marie G; Rothman, Kenneth J; Toft Sørensen, Henrik; Mikkelsen, Ellen M
2017-03-01
The Internet is widely used to conduct research studies on health issues. Many different methods are used to recruit participants for such studies, but little is known about how various recruitment methods compare in terms of efficiency and costs. The aim of our study was to compare online and offline recruitment methods for Internet-based studies in terms of efficiency (number of recruited participants) and costs per participant. We employed several online and offline recruitment methods to enroll 18- to 45-year-old women in an Internet-based Danish prospective cohort study on fertility. Offline methods included press releases, posters, and flyers. Online methods comprised advertisements placed on five different websites, including Facebook and Netdoktor.dk. We defined seven categories of mutually exclusive recruitment methods and used electronic tracking via unique Uniform Resource Locator (URL) and self-reported data to identify the recruitment method for each participant. For each method, we calculated the average cost per participant and efficiency, that is, the total number of recruited participants. We recruited 8252 study participants. Of these, 534 were excluded as they could not be assigned to a specific recruitment method. The final study population included 7724 participants, of whom 803 (10.4%) were recruited by offline methods, 3985 (51.6%) by online methods, 2382 (30.8%) by online methods not initiated by us, and 554 (7.2%) by other methods. Overall, the average cost per participant was €6.22 for online methods initiated by us versus €9.06 for offline methods. Costs per participant ranged from €2.74 to €105.53 for online methods and from €0 to €67.50 for offline methods. Lowest average costs per participant were for those recruited from Netdoktor.dk (€2.99) and from Facebook (€3.44). In our Internet-based cohort study, online recruitment methods were superior to offline methods in terms of efficiency (total number of participants enrolled). The average cost per recruited participant was also lower for online than for offline methods, although costs varied greatly among both online and offline recruitment methods. We observed a decrease in the efficiency of some online recruitment methods over time, suggesting that it may be optimal to adopt multiple online methods. ©Tina Christensen, Anders H Riis, Elizabeth E Hatch, Lauren A Wise, Marie G Nielsen, Kenneth J Rothman, Henrik Toft Sørensen, Ellen M Mikkelsen. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 01.03.2017.
Utilizing online tools to increase volunteer ombudsmen presence in long-term care.
Shelley, Greg K; Castro, Carmen; Cron, Stanley G
2015-01-01
In this descriptive study, former and current volunteer ombudsmen (n = 65) completed an online survey and Chi-square analyses were used to determine group differences in order to examine the impact of internet-based communication on the recruitment and retention of volunteer long-term care ombudsmen. The results showed that the program's shift to internet-based recruitment and communication methods helped increase the number of volunteers by 50% and contributed to a positive shift in role perception and satisfaction. Consequently, the proliferation of internet and social media usage permits greater volunteer management opportunities than previously were available. These tools also allow for consistency of message, extended training opportunities, and recourse to resources at need which permit ombudsmen volunteers to identify more readily with the role of resident advocate and receive greater performance satisfaction as it relates to that role. Copyright © 2015 Elsevier Inc. All rights reserved.
Answer or Publish - Energizing Online Democracy
NASA Astrophysics Data System (ADS)
Antal, Miklós; Mikecz, Dániel
Enhanced communication between citizens and decision makers furthering participation in public decision making is essential to ease today's democratic deficit. However, it is difficult to sort out the most important public inputs from a large number of comments and questions. We propose an online solution to the selection problem by utilizing the general publicity of the internet. In the envisioned practice, decision makers are obliged either to answer citizens' questions or initiatives or to publish the letter received on a publicly accessible web page. The list of unaddressed questions would mean a motivation to consider public inputs without putting unnecessary burdens on decision makers - due to the reliance on the public, their workload would converge to the societal optimum. The proposed method is analyzed in the course of the existing Hungarian e-practices. The idea is found valuable as a restriction for representatives and a relief for some other officials.
Recommender system based on scarce information mining.
Lu, Wei; Chung, Fu-Lai; Lai, Kunfeng; Zhang, Liang
2017-09-01
Guessing what user may like is now a typical interface for video recommendation. Nowadays, the highly popular user generated content sites provide various sources of information such as tags for recommendation tasks. Motivated by a real world online video recommendation problem, this work targets at the long tail phenomena of user behavior and the sparsity of item features. A personalized compound recommendation framework for online video recommendation called Dirichlet mixture probit model for information scarcity (DPIS) is hence proposed. Assuming that each clicking sample is generated from a representation of user preferences, DPIS models the sample level topic proportions as a multinomial item vector, and utilizes topical clustering on the user part for recommendation through a probit classifier. As demonstrated by the real-world application, the proposed DPIS achieves better performance in accuracy, perplexity as well as diversity in coverage than traditional methods. Copyright © 2017 Elsevier Ltd. All rights reserved.
Yamada, Tatsuro; Murata, Shingo; Arie, Hiroaki; Ogata, Tetsuya
2016-01-01
To work cooperatively with humans by using language, robots must not only acquire a mapping between language and their behavior but also autonomously utilize the mapping in appropriate contexts of interactive tasks online. To this end, we propose a novel learning method linking language to robot behavior by means of a recurrent neural network. In this method, the network learns from correct examples of the imposed task that are given not as explicitly separated sets of language and behavior but as sequential data constructed from the actual temporal flow of the task. By doing this, the internal dynamics of the network models both language-behavior relationships and the temporal patterns of interaction. Here, "internal dynamics" refers to the time development of the system defined on the fixed-dimensional space of the internal states of the context layer. Thus, in the execution phase, by constantly representing where in the interaction context it is as its current state, the network autonomously switches between recognition and generation phases without any explicit signs and utilizes the acquired mapping in appropriate contexts. To evaluate our method, we conducted an experiment in which a robot generates appropriate behavior responding to a human's linguistic instruction. After learning, the network actually formed the attractor structure representing both language-behavior relationships and the task's temporal pattern in its internal dynamics. In the dynamics, language-behavior mapping was achieved by the branching structure. Repetition of human's instruction and robot's behavioral response was represented as the cyclic structure, and besides, waiting to a subsequent instruction was represented as the fixed-point attractor. Thanks to this structure, the robot was able to interact online with a human concerning the given task by autonomously switching phases.
Online System Adoption and K-12 Academic Outcomes
ERIC Educational Resources Information Center
Kimmons, R.
2015-01-01
This study seeks to understand the relationship between K-12 online system adoption (e.g., Blackboard, Edmodo, WordPress) and school-level academic achievement ratings. Utilizing a novel approach to data collection via website data extraction and indexing of all school websites in a target state in the United States (n?=?732) and merging these…
Graduate Student Preferences for Practicing Faith in Online Coursework
ERIC Educational Resources Information Center
Yacapsin, M. S.
2014-01-01
The purpose of this investigation was to gain a better understanding of the expectations graduate students hold regarding the amount of and types of faith-related activities utilized in online coursework. Two groups of participants surveyed were enrolled at two different, faith-based institutions in Pennsylvania, United States; one a Catholic…
Reciprocity in Online Markets: Empirical Studies of Auction and Barter Markets
ERIC Educational Resources Information Center
Ye, Shun
2013-01-01
My dissertation seeks to understand how reciprocity affects transaction outcomes and mechanism design in online markets. The first essay examines negative reciprocity illustrated as feedback-revoking behavior in the eBay auction market, focusing on its impact and implications for reputation system design. I utilize the biggest policy change of…
At Issue: Online Education and the New Community College Student
ERIC Educational Resources Information Center
Castillo, Marco
2013-01-01
Community colleges are facing a demographic shift in their student bodies with significant consequences for how they can utilize instructional innovations such as online education. On the one hand, community colleges are educating an increasing number of adult learners, with a set of psychological, academic, and personal characteristics that make…
ERIC Educational Resources Information Center
Piña, Anthony A.
2017-01-01
In this article, a popular model for organizational development is utilized as a framework for assessing the organizational readiness and capacity of educational institutions whose leaders wish to establish or expand their online/distance education programs. Examples of institutionalization factors to consider and alternative models for assessing…
Problem-Based Learning in Online Environments
ERIC Educational Resources Information Center
An, Yun-Jo; Reigeluth, Charles M.
2008-01-01
This study examined 3 graduate-level online courses that utilized problem-based learning (PBL), considering each course as a case. Beyond describing how PBL was implemented in each case, this study identified what worked (strengths) and did not work (weaknesses) in the PBL and explored how the PBL could be improved (improvements) by collecting…
ERIC Educational Resources Information Center
Wendt, Jillian; Courduff, Jennifer
2018-01-01
A causal comparative research design was utilized in this study to examine the relationship between international students' perceptions of teacher presence in the online learning environment and students' achievement as measured by end of course grades. Spearman's analysis indicated no statistically significant correlation between the composite…
Effectiveness of an Online Graduate Preparation Program
ERIC Educational Resources Information Center
Brucato, Brittany; Neimeyer, Greg J.
2011-01-01
The present study reports the results of a controlled examination of the effectiveness of an online graduate preparation program, the Virtual Advisor. The effects of the Virtual Advisor were compared to a website preparation group and a wait-list control group. Results indicated that, compared to the control group, students who utilized the…
ERIC Educational Resources Information Center
Anshari, Muhammad; Alas, Yabit; Guan, Lim Sei
2016-01-01
Utilizing online learning resources (OLR) from multi channels in learning activities promise extended benefits from traditional based learning-centred to a collaborative based learning-centred that emphasises pervasive learning anywhere and anytime. While compiling big data, cloud computing, and semantic web into OLR offer a broader spectrum of…
Constructing Sexuality and Identity in an Online Teen Chat Room
ERIC Educational Resources Information Center
Subrahmanyam, K.; Greenfield, P. M.; Tynes, B.
2004-01-01
In this article, we propose that adolescents' online interactions are both a literal and a metaphoric screen for representing major adolescent developmental issues, such as sexuality and identity. Because of the public nature of Internet chat rooms, they provide an open window into the expression of adolescent concerns. Our study utilizes this…
An Interactive Online Database for Potato Varieties Evaluated in the Eastern U.S.
USDA-ARS?s Scientific Manuscript database
Online databases are no longer a novelty. However, for the potato growing and research community little effort has been put into collecting data from multiple states and provinces, and presenting it in a web-based database format for researchers and end users to utilize. The NE1031 regional potato v...
The Heinz Electronic Library Interactive On-line System (HELIOS): An Update.
ERIC Educational Resources Information Center
Galloway, Edward A.; Michalek, Gabrielle V.
1998-01-01
Describes a project at Carnegie Mellon University libraries to convert the congressional papers of the late Senator John Heinz to digital format and to create an online system to search and retrieve these papers. Highlights include scanning, optical character recognition, and a search engine utilizing natural language processing. (Author/LRW)
ERIC Educational Resources Information Center
Chen, Ching-chih
1986-01-01
This discussion of information technology and its impact on library operations and services emphasizes the development of microcomputer and laser optical disc technologies. Libraries' earlier responses to bibliographic utilities, online databases, and online public access catalogs are described, and future directions for library services are…
Students' Reaction to WebCT: Implications for Designing On-Line Learning Environments
ERIC Educational Resources Information Center
Osman, Mohamed Eltahir
2005-01-01
There is a growing number of web-based and web-assisted course development tools and products that can be used to create on-line learning environment. The utility of these products, however, varies greatly depending on their feasibility, prerequisite infrastructure, technical features, interface, and course development and management tools. WebCT…
ERIC Educational Resources Information Center
Davidson, J. K.; Elliot, D. L.
2007-01-01
This paper investigates and compares the utilization of online resources to support teaching and learning in two different educational sectors with overlapping student groups in Scotland: secondary schools and further education (FE) colleges. The online "Core Skills" materials included Numeracy, Communication, Information Technology…
ERIC Educational Resources Information Center
Lin, Chia-Ching; Tsai, Chin-Chung
2012-01-01
This study aimed to investigate the relationships between college students' behavioral and cognitive engagements while performing an online collective information searching (CIS) activity. The activity aimed to assist the students in utilizing a social bookmarking application to exploit the Internet in a collective manner. A group of 101 college…
The Joy of Telecomputing: Everything You Need to Know about Going On-Line at Home.
ERIC Educational Resources Information Center
Pearlman, Dara
1984-01-01
Discusses advantages and pleasures of utilizing a personal computer at home to receive electronic mail; participate in online conferences, software exchanges, and game networks; do shopping and banking; and have access to databases storing volumes of information. Information sources for the services mentioned are included. (MBR)
ERIC Educational Resources Information Center
Hagan, Linda M.
2012-01-01
Undergraduate marketing and public relations capstone courses utilize client projects to allow students to apply their knowledge and encourage collaboration. Yet, at the graduate level, especially with courses offered in an online modality, experiential service learning in the form of client project assignments presents unique challenges. However,…
Military Social Perspectives in an Online Learning Environment
ERIC Educational Resources Information Center
Bishop, Gregory Irvin
2018-01-01
Article one of this dissertation utilizes a comprehensive literature review to depict the many cultural and social differences that are inherent to military personnel and how it may be translated into an online learning environment. In recent years, the military began the transition from an organizational and collaborative learning model to an…
Increasing Access to Archival Records in Library Online Public Access Catalogs.
ERIC Educational Resources Information Center
Gilmore, Matthew B.
1988-01-01
Looks at the use of online public access catalogs, the utility of subject and call-number searching, and possible archival applications. The Wallace Archives at the Claremont Colleges is used as an example of the availability of bibliographic descriptions of multiformat archival materials through the library catalog. Sample records and searches…
ERIC Educational Resources Information Center
Ilieva, Vessela; Erguner-Tekinalp, Bengu
2012-01-01
This study examined the applications of computer-mediated student collaboration in a graduate multicultural counseling course. The course work included a reflective cultural competency building assignment that utilized online communication and collaboration using a wiki to extend and improve students' multicultural counseling and social justice…
Online Education and Adult Learning: New Frontiers for Teaching Practices
ERIC Educational Resources Information Center
Kidd, Terry T., Ed.
2010-01-01
The expanding field of adult learning encompasses the study and practice of utilizing sound instructional design principals, technology, and learning theory as a means to solve educational challenges and human performance issues relating to adults, often occurring online. This book disseminates current issues and trends emerging in the field of…
ERIC Educational Resources Information Center
Albatayneh, Naji Ahmad; Ghauth, Khairil Imran; Chua, Fang-Fang
2018-01-01
Nowadays, most of e-learning systems embody online discussion forums as a medium for collaborative learning that supports knowledge sharing and information exchanging between learners. The exponential growth of the available shared information in e-learning online discussion forums has caused a difficulty for learners in discovering interesting…
Utilizing Online Learning Communities in Student Affairs
ERIC Educational Resources Information Center
Calhoun, Daniel W.; Green, Lucy Santos
2015-01-01
In this chapter, the authors will expand upon the definition of learning communities, discussing the ways in which this concept has changed and adapted through the incorporation/infusion of web-based technologies. In addition, strategies on how to create and use online learning communities both with students and for professional practice will be…
Content Analysis Coding Schemes for Online Asynchronous Discussion
ERIC Educational Resources Information Center
Weltzer-Ward, Lisa
2011-01-01
Purpose: Researchers commonly utilize coding-based analysis of classroom asynchronous discussion contributions as part of studies of online learning and instruction. However, this analysis is inconsistent from study to study with over 50 coding schemes and procedures applied in the last eight years. The aim of this article is to provide a basis…
Accessibility Evaluation of Online Learning Management System for Persons with Visual Impairment
ERIC Educational Resources Information Center
Suwannawut, Nantanoot
2014-01-01
Many academic institutions around the world are utilizing and investing in online learning management systems (LMS). While several research studies have examined the functionality of this type of technology, little attention has been paid to accessibility issues, in particular to the complex web-based interfaces for learners with disabilities,…
Extending the Online Public Access Catalog into the Microcomputer Environment.
ERIC Educational Resources Information Center
Sutton, Brett
1990-01-01
Describes PCBIS, a database program for MS-DOS microcomputers that features a utility for automatically converting online public access catalog search results stored as text files into structured database files that can be searched, sorted, edited, and printed. Topics covered include the general features of the program, record structure, record…
Economies of eLearning in the 21st Century
ERIC Educational Resources Information Center
Kasraie, Noah; Kasraie, Esrafill
2010-01-01
The Internet and advancements in the field of information technology have opened up unprecedented opportunities for every citizen to succeed in the 21st Century. Higher education has been utilizing the new technology by offering web-based education. Many universities today offer online classes and even online degrees using eLearning. But how can…
Architecture for knowledge-based and federated search of online clinical evidence.
Coiera, Enrico; Walther, Martin; Nguyen, Ken; Lovell, Nigel H
2005-10-24
It is increasingly difficult for clinicians to keep up-to-date with the rapidly growing biomedical literature. Online evidence retrieval methods are now seen as a core tool to support evidence-based health practice. However, standard search engine technology is not designed to manage the many different types of evidence sources that are available or to handle the very different information needs of various clinical groups, who often work in widely different settings. The objectives of this paper are (1) to describe the design considerations and system architecture of a wrapper-mediator approach to federate search system design, including the use of knowledge-based, meta-search filters, and (2) to analyze the implications of system design choices on performance measurements. A trial was performed to evaluate the technical performance of a federated evidence retrieval system, which provided access to eight distinct online resources, including e-journals, PubMed, and electronic guidelines. The Quick Clinical system architecture utilized a universal query language to reformulate queries internally and utilized meta-search filters to optimize search strategies across resources. We recruited 227 family physicians from across Australia who used the system to retrieve evidence in a routine clinical setting over a 4-week period. The total search time for a query was recorded, along with the duration of individual queries sent to different online resources. Clinicians performed 1662 searches over the trial. The average search duration was 4.9 +/- 3.2 s (N = 1662 searches). Mean search duration to the individual sources was between 0.05 s and 4.55 s. Average system time (ie, system overhead) was 0.12 s. The relatively small system overhead compared to the average time it takes to perform a search for an individual source shows that the system achieves a good trade-off between performance and reliability. Furthermore, despite the additional effort required to incorporate the capabilities of each individual source (to improve the quality of search results), system maintenance requires only a small additional overhead.
Hekler, Eric B; Dubey, Gaurav; McDonald, David W; Poole, Erika S; Li, Victor; Eikey, Elizabeth
2014-12-08
There is increasing interest in the use of online forums as a component of eHealth weight loss interventions. Although the research is mixed on the utility of online forums in general, results suggest that there is promise to this, particularly if the systems can be designed well to support healthful interactions that foster weight loss and continued engagement. The purpose of this study was to examine the relationship between the styles of utterances individuals make on an online weight loss forum and week-to-week fluctuations in weight. This analysis was conducted to generate hypotheses on possible strategies that could be used to improve the overall design of online support groups to facilitate more healthful interactions. A convenience sample of individuals using an online weight loss forum (N=4132) included data both on online forum use and weight check-in data. All interactions were coded utilizing the Linguistic Inquiry and Word Count (LIWC) system. Mixed model analyses were conducted to examine the relationship between these LIWC variables and weight over time. Results suggested that increased use of past-tense verbs (P=.05) and motion (P=.02) were associated with lower weekly weights whereas increased use of conjunctions (eg, and, but, whereas; P=.001) and exclusion words (eg, but, without, exclude; P=.07) were both associated with higher weight during the weeks when these utterances were used more. These results provide some insights on the styles of interactions that appear to be associated with weight fluctuations. Future work should explore the stability of these findings and also explore possibilities for fostering these types of interactions more explicitly within online weight loss forums.
Online formative assessments: exploring their educational value
NAGANDLA, KAVITHA; SULAIHA, SHARIFAH; NALLIAH, SIVALINGAM
2018-01-01
Introduction: Online formative assessments (OFA’s) have been increasingly recognised in medical education as resources that promote self-directed learning. Formative assessments are used to support the self-directed learning of students. Online formative assessments have been identified to be less time consuming with automated feedback. This pilot study aimed to determine whether participation and performance in online formative assessments (OFA’s) had measurable effects on learning and evaluate the students’ experience of using the OFA’s in the department of Obstetrics and Gynaecology. Methods: This is a cross-sectional study conducted among fourth year medical students (n=92) during their seven week postings in Obstetrics and Gynaecology. Five sets of online formative assessments in the format of one best answers (OBA), Objective structured practical examination (OSPE) and Short answer question (SAQ) with feedback were delivered over five weeks through the online portal. The mean scores of the end of posting summative exam (EOP) of those who participated in the assessments (OFA users) and of those who did not (non-OFA users) were compared, using Students t test. The frequency of tool usage was analysed and satisfaction surveys were utilized at the end of the course by survey questionnaire using the five point Likert scale. Results: The mean scores of the students in end of posting summative examination marks for students who had participated in the online formative assessment (OFA users) and for those who had not (non OFA users) showed no significant difference in all the three components OBA, SAQ and OSPE (p=0.902, 0.633, 0.248). Majority of the students perceived that OFAs fulfilled the stated aims and objectives and so they would persuade their peers to participate in the OFAs. Conclusions: Online formative assessments are perceived as tools that promote self-directed learning, improved knowledge and tailor learning for individual learning needs and style. PMID:29607332
Low cost composite manufacturing utilizing intelligent pultrusion and resin transfer molding (IPRTM)
NASA Astrophysics Data System (ADS)
Bradley, James E.; Wysocki, Tadeusz S., Jr.
1993-02-01
This article describes an innovative method for the economical manufacturing of large, intricately-shaped tubular composite parts. Proprietary intelligent process control techniques are combined with standard pultrusion and RTM methodologies to provide high part throughput, performance, and quality while substantially reducing scrap, rework costs, and labor requirements. On-line process monitoring and control is achieved through a smart tooling interface consisting of modular zone tiles installed on part-specific die assemblies. Real-time archiving of process run parameters provides enhanced SPC and SQC capabilities.
VizieR Online Data Catalog: WIYN open cluster study. LIX. RVs of NGC 6791 (Tofflemire+, 2014)
NASA Astrophysics Data System (ADS)
Tofflemire, B. M.; Gosnell, N. M.; Mathieu, R. D.; Platais, I.
2014-11-01
Our observations utilize the Hydra Multi-Object Spectrograph (MOS) on the WIYN 3.5m telescope. We use 3.1'' diameter fibers along with the bench spectrograph echelle grating, resulting in a spectral resolution of ~20000 (15km/s). See Geller et al. 2008 (cat. J/AJ/135/2264; Paper XXXII) for full details about our observing and data reduction procedures. Variations in our methods from previous WIYN Open Cluster Study (WOCS) radial velocity papers are given in Section 3. (3 data files).
Health Professionals' Use of Online Information Retrieval Systems and Online Evidence.
Lialiou, Paschalina; Pavlopoulou, Ioanna; Mantas, John
2016-01-01
Across-sectional survey was designed to determine health professionals' awareness and usage of online evidence retrieval systems in clinical practice. A questionnaire was used to measure professionals' behavior and utilization of online evidences, as well as, reasons and barriers on information retrieval. 439 nurses and physicians from public and private hospitals in Greece formulate the study's sample. The two most common reasons that individuals are using online information systems were for writing scientific manuscripts or filling a knowledge gap. A positive correlation was found between participants with postgraduate studies and information system usage. The majority of them (90,6%) believe that online information systems improves patient care and 67,6% of them had their own experiences on this. More support is needed to nurses and physicians in order to use the online evidence and as a result to improve the provided care and practices.
Feasibility and Utility of Online Dementia Care Training for Hospital Staff
Hobday, John V.; Gaugler, Joseph E.; Mittelman, Mary S.
2018-01-01
The current project tested the feasibility and utility of the CARES® Dementia-Friendly Hospital™ (CDFH) program, a 4-module, online training program for nursing assistants (NAs) and allied hospital workers (AHWs) who provide care to individuals with dementia. A single group pretest/posttest design was used for 25 hospital NAs/AHWs, and quantitative and qualitative data were collected to determine whether NAs’/AHWs’ knowledge of hospital-based dementia care significantly increased, and if CDFH was perceived as useful and acceptable. Dementia care knowledge increased significantly (p < 0.001). Open- and closed-ended data suggested that the delivery of online training to NAs/AHWs to enhance dementia care is feasible, useful, and efficient. Ongoing gaps in care exist for individuals with dementia in hospitals, and delivering robust training for NAs/AHWs may serve as an effective modality to enhance quality of dementia care in such settings. PMID:28152156
Online fault adaptive control for efficient resource management in Advanced Life Support Systems
NASA Technical Reports Server (NTRS)
Abdelwahed, Sherif; Wu, Jian; Biswas, Gautam; Ramirez, John; Manders, Eric-J
2005-01-01
This article presents the design and implementation of a controller scheme for efficient resource management in Advanced Life Support Systems. In the proposed approach, a switching hybrid system model is used to represent the dynamics of the system components and their interactions. The operational specifications for the controller are represented by utility functions, and the corresponding resource management problem is formulated as a safety control problem. The controller is designed as a limited-horizon online supervisory controller that performs a limited forward search on the state-space of the system at each time step, and uses the utility functions to decide on the best action. The feasibility and accuracy of the online algorithm can be assessed at design time. We demonstrate the effectiveness of the scheme by running a set of experiments on the Reverse Osmosis (RO) subsystem of the Water Recovery System (WRS).
Jensen, Jakob D; King, Andy J; Davis, LaShara A; Guntzviller, Lisa M
2010-09-01
To examine whether low-income adults' utilization of Internet technology is predicted or mediated by health literacy, health numeracy, and computer assistance. Low-income adults (N = 131) from the midwestern United States were surveyed about their technology access and use. Individuals with low health literacy skills were less likely to use Internet technology (e.g., email, search engines, and online health information seeking), and those with low health numeracy skills were less likely to have access to Internet technology (e.g., computers and cell phones). Consistent with past research, males, older participants, and those with less education were less likely to search for health information online. The relationship between age and online health information seeking was mediated by participant literacy. The present study suggests that significant advances in technology access and use could be sparked by developing technology interfaces that are accessible to individuals with limited literacy skills.
Online fault adaptive control for efficient resource management in Advanced Life Support Systems.
Abdelwahed, Sherif; Wu, Jian; Biswas, Gautam; Ramirez, John; Manders, Eric-J
2005-01-01
This article presents the design and implementation of a controller scheme for efficient resource management in Advanced Life Support Systems. In the proposed approach, a switching hybrid system model is used to represent the dynamics of the system components and their interactions. The operational specifications for the controller are represented by utility functions, and the corresponding resource management problem is formulated as a safety control problem. The controller is designed as a limited-horizon online supervisory controller that performs a limited forward search on the state-space of the system at each time step, and uses the utility functions to decide on the best action. The feasibility and accuracy of the online algorithm can be assessed at design time. We demonstrate the effectiveness of the scheme by running a set of experiments on the Reverse Osmosis (RO) subsystem of the Water Recovery System (WRS).
Betts, Kevin R; O'Donoghue, Amie C; Aikin, Kathryn J; Kelly, Bridget J; Boudewyns, Vanessa
2016-12-01
Professional online communities allow healthcare providers to exchange ideas with their colleagues about best practices for patient care. Research on this topic has focused almost exclusively on primary care physicians and specialists, to the exclusion of advanced practice providers such as nurse practitioners and physician assistants. We expand this literature by examining membership and participation on these websites among each of these provider groups. Participants (N = 2008; approximately 500 per provider group) responded to an Internet-based survey in which they were asked if they use professional online communities to dialogue with colleagues and if so, what their motivation is for doing so. Nearly half of the participants in our sample reported utilizing professional online communities. Select differences were observed between provider groups, but overall, similar patterns emerged in their membership and participation on these websites. Nurse practitioners and physician assistants utilize professional online communities in similar proportion to primary care physicians and specialists. Providers should be cognizant of the impact this use may have for both themselves and their patients. Researchers are urged to take into account the various professional roles within the healthcare community while developing research on this topic. ©2016 American Association of Nurse Practitioners.
Using tablets to support self-regulated learning in a longitudinal integrated clerkship.
Archbold Hufty Alegría, Dylan; Boscardin, Christy; Poncelet, Ann; Mayfield, Chandler; Wamsley, Maria
2014-01-01
Introduction The need to train physicians committed to learning throughout their careers has prompted medical schools to encourage the development and practice of self-regulated learning by students. Longitudinal integrated clerkships (LICs) require students to exercise self-regulated learning skills. As mobile tools, tablets can potentially support self-regulation among LIC students. Methods We provided 15 LIC students with tablet computers with access to the electronic health record (EHR), to track their patient cohort, and a multiplatform online notebook, to support documentation and retrieval of self-identified clinical learning issues. Students received a 1-hour workshop on the relevant features of the tablet and online notebook. Two focus groups with the students were used to evaluate the program, one early and one late in the year and were coded by two raters. Results Students used the tablet to support their self-regulated learning in ways that were unique to their learning styles and increased access to resources and utilization of down-time. Students who used the tablet to self-monitor and target learning demonstrated the utility of tablets as learning tools. Conclusions LICs are environments rich in opportunity for self-regulated learning. Tablets can enhance students' ability to develop and employ self-regulatory skills in a clinical context.
Using tablets to support self-regulated learning in a longitudinal integrated clerkship
Alegría, Dylan Archbold Hufty; Boscardin, Christy; Poncelet, Ann; Mayfield, Chandler; Wamsley, Maria
2014-01-01
Introduction The need to train physicians committed to learning throughout their careers has prompted medical schools to encourage the development and practice of self-regulated learning by students. Longitudinal integrated clerkships (LICs) require students to exercise self-regulated learning skills. As mobile tools, tablets can potentially support self-regulation among LIC students. Methods We provided 15 LIC students with tablet computers with access to the electronic health record (EHR), to track their patient cohort, and a multiplatform online notebook, to support documentation and retrieval of self-identified clinical learning issues. Students received a 1-hour workshop on the relevant features of the tablet and online notebook. Two focus groups with the students were used to evaluate the program, one early and one late in the year and were coded by two raters. Results Students used the tablet to support their self-regulated learning in ways that were unique to their learning styles and increased access to resources and utilization of down-time. Students who used the tablet to self-monitor and target learning demonstrated the utility of tablets as learning tools. Conclusions LICs are environments rich in opportunity for self-regulated learning. Tablets can enhance students’ ability to develop and employ self-regulatory skills in a clinical context. PMID:24646438
Fast object reconstruction in block-based compressive low-light-level imaging
NASA Astrophysics Data System (ADS)
Ke, Jun; Sui, Dong; Wei, Ping
2014-11-01
In this paper we propose a simply yet effective and efficient method for long-term object tracking. Different from traditional visual tracking method which mainly depends on frame-to-frame correspondence, we combine high-level semantic information with low-level correspondences. Our framework is formulated in a confidence selection framework, which allows our system to recover from drift and partly deal with occlusion problem. To summarize, our algorithm can be roughly decomposed in a initialization stage and a tracking stage. In the initialization stage, an offline classifier is trained to get the object appearance information in category level. When the video stream is coming, the pre-trained offline classifier is used for detecting the potential target and initializing the tracking stage. In the tracking stage, it consists of three parts which are online tracking part, offline tracking part and confidence judgment part. Online tracking part captures the specific target appearance information while detection part localizes the object based on the pre-trained offline classifier. Since there is no data dependence between online tracking and offline detection, these two parts are running in parallel to significantly improve the processing speed. A confidence selection mechanism is proposed to optimize the object location. Besides, we also propose a simple mechanism to judge the absence of the object. If the target is lost, the pre-trained offline classifier is utilized to re-initialize the whole algorithm as long as the target is re-located. During experiment, we evaluate our method on several challenging video sequences and demonstrate competitive results.
Borgmann, Hendrik; DeWitt, Sasha; Tsaur, Igor; Haferkamp, Axel; Loeb, Stacy
2015-01-01
Introduction: Twitter use has grown exponentially within the urological community. We aimed to determine the perceptions of the impact of Twitter on users’ clinical practice, research, and other professional activities. Methods: We performed an 11-item online survey of Twitter contributors during two major urological meetings: the European Association of Urology (EAU) and the American Urological Association (AUA) annual meetings. During the EAU 2014 meeting, we distributed the survey via the meeting official Twitter feed. During the AUA 2014 meeting, we applied a new method by directly sending the survey to Twitter contributors. We performed a subset analysis for assessing the perceived impact of Twitter on the clinical practice of physicians. Results: Among 312 total respondents, the greatest perceived benefits of Twitter among users were for networking (97%) and disseminating information (96%), followed by research (75%), advocacy (74%) and career development (62%). In total, 65% of Twitter users have dealt with guidelines on online medical professionalism and 71% of physician users found that Twitter had an impact on their clinical practice, and 33% had made a clinical decision based on an online case discussion. Conclusions: Our results suggest that Twitter users in the urological community perceive important benefits. These benefits extend to multiple professional domains, particularly networking, disseminating information, remote conference participation, research, and advocacy. This is the first study that has been disseminated to targeted individuals from the urological community directly through tweets, providing a proof of principle for this research method. PMID:26664662
NASA Astrophysics Data System (ADS)
Erlyana, Yana; Hartono, Henny
2017-12-01
The advancement of technology has huge impact on commerce world, especially in the marketplace that has shifted from brick-and-mortar to digital/online marketplace. Grasping the opportunity, ABC joined venture with DEF to create a new online venture namely XYZ Online Shop - an e-commerce website that has large segmentations. The objective of this research is to analyze the business model conducted by XYZ Online Shop by utilizing Business Model Canvas Framework and SWOT analysis. The results obtained from the research are that the business model conducted by XYZ Online Shop excels in customer relationship block and still needs to improve key partner and key activities blocks. Business Model Canvas along with SWOT analysis describes how XYZ Online Shop creates, delivers, and captures value based on its internal and external environments.
Missed Opportunity? Leveraging Mobile Technology to Reduce Racial Health Disparities.
Ray, Rashawn; Sewell, Abigail A; Gilbert, Keon L; Roberts, Jennifer D
2017-10-01
Blacks and Latinos are less likely than whites to access health insurance and utilize health care. One way to overcome some of these racial barriers to health equity may be through advances in technology that allow people to access and utilize health care in innovative ways. Yet, little research has focused on whether the racial gap that exists for health care utilization also exists for accessing health information online and through mobile technologies. Using data from the Health Information National Trends Survey (HINTS), we examine racial differences in obtaining health information online via mobile devices. We find that blacks and Latinos are more likely to trust online newspapers to get health information than whites. Minorities who have access to a mobile device are more likely to rely on the Internet for health information in a time of strong need. Federally insured individuals who are connected to mobile devices have the highest probability of reliance on the Internet as a go-to source of health information. We conclude by discussing the importance of mobile technologies for health policy, particularly related to developing health literacy, improving health outcomes, and contributing to reducing health disparities by race and health insurance status. Copyright © 2017 by Duke University Press.
Construction of the iSTAR international Study of Astronomical Reasoning Database
NASA Astrophysics Data System (ADS)
Slater, S. J.; Tatge, C. B.; Slater, T. F.; Bretones, P. S.; Schleigh, S.
2016-12-01
Perhaps more than any other science discipline-based education research field, the scholarly literature base describing and documenting astronomy education research is highly fragmented and widely dispersed across numerous journals. The resulting wide diversity of journals that publish astronomy education research presents an arduous challenge for scholars trying to best understand what work has been done and what work still needs to be done. Moreover, a vast amount of education research on the teaching and learning of astronomy exists in dissertations that were never published and even more exists in the realm of un-disseminated grey literature hosted in conference proceedings and society newsletters going back decades. With a few notable exceptions far less extensive than the current project, there has been no comprehensive repository for cataloging astronomy education research methods and results to date. In response, an international cadre of scholars coordinated by the CAPER Center for Astronomy & Physics Education Research are creating the underlying structure for an online database in order to conduct an international Study of Astronomy Reasoning, iSTAR, project. The online iSTAR database serves as an online host to bring together in one place digital copies of hard to locate journal articles, isolated dissertations and theses, and professional meeting contributions to extend the world's scholars abilities to more easily find and utilize a far broader collection of astronomy education research literature than has been previously available. Works are categorized by research method, nature of study-participants, educational learning venue studied, country and language of the study, and other fruitfully useful categories. Scholars wishing to add their own literature resources are encouraged to contribute to the online database located at istardatabase.org
The Impact of an Online Transition Curriculum on Secondary Student Reading
ERIC Educational Resources Information Center
Lombardi, Allison R.; Izzo, Margo V.; Rifenbark, Graham G.; Murray, Alexa; Buck, Andrew; Monahan, Jessica; Gelbar, Nicholas
2017-01-01
This study investigates the impact of an online transition curriculum embedded with literacy strategies on reading outcomes for secondary students in grades 9-12 across two states. The quasi-experimental pretest/posttest design had a sample of 338 students with and without disabilities and utilized the "AIMS Web Maze Test for 8th Grade…
ERIC Educational Resources Information Center
Thomas, Matt; Hofmeister, David
Educators need to better understand how Internet discussion boards can be used in their classrooms. The process of trying to learn more about potential efficacy of a merger of two potent education tools (Learning or Literature Circles and online discussion boards) is currently underway. A large research study has been designed to examine the…
ERIC Educational Resources Information Center
Starcher, Keith O.
2017-01-01
As the for-profit business model and a reliance on adjunct faculty continues to grow among faith-based institutions, little research exists on the differences in the characteristics of part-time online faculty in for-profit versus nonprofit environments that could provide guidance to administrators. This study utilized a descriptive,…
ERIC Educational Resources Information Center
Su, Bude; Bonk, Curtis J.; Magjuka, Richard J.; Liu, Xiaojing; Lee, Seung-hee
2005-01-01
Though interaction is often billed as a significant component of successful online learning, empirical evidence of its importance as well as practical guidance or specific interaction techniques continue to be lacking. In response, this study utilizes both quantitative and qualitative data to investigate how instructors and students perceive the…
Utilizing Twitter and #Hashtags toward Enhancing Student Learning in an Online Course Environment
ERIC Educational Resources Information Center
Bledsoe, T. Scott; Harmeyer, Dave; Wu, Shuang Frances
2014-01-01
The authors offer an answer to the research question, To what extent and in what ways is Twitter helpful to student learning when group hashtags are created and used in collaborative educational environments? Sixty-two students in a spring 2012 graduate online Research Methodology course worked individually and in groups to create discussions on…
Does "Flipping" Promote Engagement?: A Comparison of a Traditional, Online, and Flipped Class
ERIC Educational Resources Information Center
Burke, Alison S.; Fedorek, Brian
2017-01-01
"Flipped" or inverted classrooms are designed to utilize class time for application and knowledge building, while course content is delivered through the use of online lectures and watched at home on the students' time. It is believed that flipped classrooms promote student engagement and a deeper understanding of the class material. The…
ERIC Educational Resources Information Center
Banks, Karen Lee
2017-01-01
Nontraditional online adult graduate students ages 25 and older have unique challenges toward achieving their academic goals as compared to younger learners. These older graduate students usually already have families, careers, and other demands on their time. Deciding to pursue their advanced degrees is typically related to gaining a competitive…
ERIC Educational Resources Information Center
Hsieh, Hsiu-Wei
2012-01-01
The proliferation of information and communication technologies and the prevalence of online social networks have facilitated the opportunities for informal learning of foreign languages. However, little educational research has been conducted on how individuals utilize those social networks to take part in self-initiated language learning without…
ERIC Educational Resources Information Center
Wahid, Wazira Ali Abdul; Ahmed, Eqbal Sulaiman; Wahid, Muntaha Ali Abdul
2015-01-01
This issue expresses a research study based on the online interactions of English teaching specially conversation through utilizing VOIP (Voice over Internet Protocol) and cosmopolitan online theme. Data has been achieved by interviews. Simplifiers indicate how oral tasks require to be planned upon to facilitate engagement models propitious to…
Effectiveness of Integrating MOOCs in Traditional Classrooms for Undergraduate Students
ERIC Educational Resources Information Center
Israel, Maria Joseph
2015-01-01
The idea of a Massive Open Online Course (MOOC) has attracted a lot of media attention in the last couple of years. MOOCs have been used mostly as stand-alone online courses without credits. However, some researchers, teachers, colleges, and universities have attempted to utilize MOOCs in blended format in traditional classroom settings. This…
Managing the Legal Risks of High-Tech Classrooms
ERIC Educational Resources Information Center
Nenych, Laura A.
2011-01-01
When professors and students utilize the Internet, course web pages, and other online learning tools, much of the material that they make use of is protected by copyright law. A blend of case law and legislation governs the use of online materials and how technology can be used in the classroom and in school-related activities, often creating…
ERIC Educational Resources Information Center
Li, Guofang
2012-01-01
How do second-language learners become successful readers and writers? This article examines the importance of social networks to English language learners' reading and writing development. It describes different family, peer, and virtual social networks that ELLs can utilize to engage in online and offline reading and writing (especially related…
ERIC Educational Resources Information Center
Seo, Kay Kyeongju
2007-01-01
This study focused on the effects of peer moderation on meaningful interactions in online discussions. A meaningful interaction was defined as a message relating to a discussion topic, responding to a previous message, and adding substance to the discussion. A randomized-subject, posttest-only control group design was used to test the first…
ERIC Educational Resources Information Center
Yip, Tor; Melling, Louise; Shaw, Kirsty J.
2016-01-01
An online instructional database containing information on commonly used pieces of laboratory equipment was created. In order to make the database highly accessible and to promote its use, QR codes were utilized. The instructional materials were available anytime and accessed using QR codes located on the equipment itself and within undergraduate…
ERIC Educational Resources Information Center
Johnson, Bruce A.
2010-01-01
The purpose of this case study was to explore the application and outcome of appreciative andragogy as an online instructional strategy for the development of adult learner motivation, engagement, and performance. Appreciative andragogy was an original phrase developed for this study and is an adaptation of appreciative inquiry. The concept of…
Establishing a Community of Inquiry through Hybrid Courses in Clinical Social Work Education
ERIC Educational Resources Information Center
Ferrera, Maria; Ostrander, Noam; Crabtree-Nelson, Sonya
2013-01-01
Utilizing the conceptual framework of Garrison, Anderson, and Archer for critical inquiry, this paper outlines the importance of the community of inquiry (COI) model and how it may inform online social work education. Integrating the COI model, we discuss how online learning in the classroom with a hybrid approach has been used to facilitate…
Utilizing Software Application Tools to Enhance Online Student Engagement and Achievement
ERIC Educational Resources Information Center
Andersson, David; Reimers, Karl
2010-01-01
The field of education is experiencing a rapid shift as internet-enabled distance learning becomes more widespread. Often, traditional classroom teaching pedagogical techniques can be ill-suited to the online environment. While a traditional entry-level class might see a student attrition rate of 5-10%, the same teaching pedagogy in an online…
ERIC Educational Resources Information Center
Geiger, Vince; Mulligan, Joanne; Date-Huxtable, Liz; Ahlip, Rehez; Jones, D. Heath; May, E. Julian; Rylands, Leanne; Wright, Ian
2018-01-01
In this article we describe and evaluate processes utilized to develop an online learning module on mathematical modelling for pre-service teachers. The module development process involved a range of professionals working within the STEM disciplines including mathematics and science educators, mathematicians, scientists, in-service and pre-service…
ERIC Educational Resources Information Center
Bustamante, Carolina; Moeller, Aleidine J.
2013-01-01
This qualitative case study describes a unique online professional development program utilizing Web 2.0 technologies for teachers of German using the Technological Pedagogical Content Knowledge (TPACK) model as a theoretical framework to promote technology literacy, expand German language proficiency and cultural knowledge, and integrate…
ERIC Educational Resources Information Center
Allen, Terre H.
2006-01-01
This essay is designed to engage academic discipline in a conversation about the utility and practices associated with providing communication coursework online, particularly general education, communication skills courses. The author has framed the conversation in terms of student success, retention, and degree completion. He outlines three…
The Role of Servant Leadership in Faculty Development Programs: A Review of the Literature
ERIC Educational Resources Information Center
Russell, Eric James
2012-01-01
The following note is that a review of existing literature pertaining to servant leadership and faculty development. Specifically, this work discussed delivering servant leadership to online faculty through the utilization of a faculty development program. The idea for this literature review stemmed from the author asking how an online academic…
For over twenty-five years Antony Williams has been delivering presentations to chemists about how to utilize freely available websites to help create an online presence. Over the years he has presented on LinkedIn for a professional CV, ResearchGate for sharing papers and resear...
NITROUS OXIDE EMISSIONS FROM FOSSIL FUEL COMBUSTION
The role of coal combustion as a significant global source of nitrous oxide (N2O) emissions was reexamined through on-line emission measurements from six pulverized-coal-fired utility boilers and from laboratory and pilot-scale combustors. The full-scale utility boilers yielded d...
Holt, Martin; de Wit, John; Brown, Graham; Maycock, Bruce; Fairley, Christopher; Prestage, Garrett
2014-01-01
Background Behavioural surveillance and research among gay and other men who have sex with men (GMSM) commonly relies on non-random recruitment approaches. Methodological challenges limit their ability to accurately represent the population of adult GMSM. We compared the social and behavioural profiles of GMSM recruited via venue-based, online, and respondent-driven sampling (RDS) and discussed their utility for behavioural surveillance. Methods Data from four studies were selected to reflect each recruitment method. We compared demographic characteristics and the prevalence of key indicators including sexual and HIV testing practices obtained from samples recruited through different methods, and population estimates from respondent-driven sampling partition analysis. Results Overall, the socio-demographic profile of GMSM was similar across samples, with some differences observed in age and sexual identification. Men recruited through time-location sampling appeared more connected to the gay community, reported a greater number of sexual partners, but engaged in less unprotected anal intercourse with regular (UAIR) or casual partners (UAIC). The RDS sample overestimated the proportion of HIV-positive men and appeared to recruit men with an overall higher number of sexual partners. A single-website survey recruited a sample with characteristics which differed considerably from the population estimates with regards to age, ethnically diversity and behaviour. Data acquired through time-location sampling underestimated the rates of UAIR and UAIC, while RDS and online sampling both generated samples that underestimated UAIR. Simulated composite samples combining recruits from time-location and multi-website online sampling may produce characteristics more consistent with the population estimates, particularly with regards to sexual practices. Conclusion Respondent-driven sampling produced the sample that was most consistent to population estimates, but this methodology is complex and logistically demanding. Time-location and online recruitment are more cost-effective and easier to implement; using these approaches in combination may offer the potential to recruit a more representative sample of GMSM. PMID:25409440
Eng, Janice J; Noonan, Vanessa K; Townson, Andrea F; Higgins, Caroline E; Rogers, Jess; Wolfe, Dalton L
2014-12-23
It is not known whether ongoing access to a broad-based Internet knowledge resource can influence the practice of health care providers. We undertook a study to evaluate the impact of a Web-based knowledge resource on increasing access to evidence and facilitating best practice of health care providers. The objective of this study was to evaluate (1) the impact of the Spinal Cord Injury Rehabilitation Evidence (SCIRE) project on access to information for health care providers and researchers and (2) how SCIRE influenced health care providers' management of clients. A 4-part mixed methods evaluation was undertaken: (1) monitoring website traffic and utilization using Google Analytics, (2) online survey of users who accessed the SCIRE website, (3) online survey of targeted end-users, that is, rehabilitation health care providers known to work with spinal cord injury (SCI) clients, as well as researchers, and (4) focus groups with health care providers who had previously accessed SCIRE. The online format allowed the content for a relatively specialized field to have far reach (eg, 26 countries and over 6500 users per month). The website survey and targeted end-user survey confirmed that health care providers, as well as researchers perceived that the website increased their access to SCI evidence. Access to SCIRE not only improved knowledge of SCI evidence but helped inform changes to the health providers' clinical practice and improved their confidence in treating SCI clients. The SCIRE information directly influenced the health providers' clinical decision making, in terms of choice of intervention, equipment needs, or assessment tool. A Web-based knowledge resource may be a relatively inexpensive method to increase access to evidence-based information, increase knowledge of the evidence, inform changes to the health providers' practice, and influence their clinical decision making.
Alvarez, Melissa; Tremintin, Guillaume; Wang, Jennifer; Eng, Marian; Kao, Yung-Hsiang; Jeong, Justin; Ling, Victor T; Borisov, Oleg V
2011-12-01
Recombinant monoclonal antibodies (MAbs) have become one of the most rapidly growing classes of biotherapeutics in the treatment of human disease. MAbs are highly heterogeneous proteins, thereby requiring a battery of analytical technologies for their characterization. However, incompatibility between separation and subsequent detection is often encountered. Here we demonstrate the utility of a generic on-line liquid chromatography-mass spectrometry (LC-MS) method operated in a two-dimensional format toward the rapid characterization of MAb charge and size variants. Using a single chromatographic system capable of running two independent gradients, up to six fractions of interest from an ion exchange (IEC) or size exclusion (SEC) separation can be identified by trapping and desalting the fractions onto a series of reversed phase trap cartridges with subsequent on-line analysis by mass spectrometry. Analysis of poorly resolved and low-level peaks in the IEC or SEC profile was facilitated by preconcentrating fractions on the traps using multiple injections. An on-line disulfide reduction step was successfully incorporated into the workflow, allowing more detailed characterization of modified MAbs by providing chain-specific information. The system is fully automated, thereby enabling high-throughput analysis with minimal sample handling. This technology provides rapid data turnaround time, a much needed feature during product characterization and development of multiple biotherapeutic proteins. Copyright © 2011 Elsevier Inc. All rights reserved.
Lorian, Carolyn N; Grisham, Jessica R
2011-08-01
Previous research suggests that the pervasive tendency to avoid perceived risks (i.e., the safety bias) may be implicated in the maintenance of pathological anxiety. These studies have not explored, however, the potential clinical implications of such a bias, such as the influence of risk aversion on treatment seeking. The aim of this study was to investigate how risk-avoidance is related to willingness to seek treatment in an online sample of clinically anxious individuals with social phobia (SP), obsessive-compulsive disorder (OCD) and generalized anxiety disorder (GAD). Healthy control participants (n=117) and those endorsing criteria for one or more anxiety disorder(s) (n=92; SP, n=33; OCD, n=19; GAD, n=40) were recruited from various online sources. Respondents completed an online survey comprised of a validated diagnostic interview, self-report measures assessing for symptom severity, risk-taking across various domains, a generalized index of risk-taking and treatment utilization. Consistent with hypotheses, SP and GAD individuals reported significantly more risk-avoidance when compared to non-clinical controls. Furthermore, willingness to seek treatment was found to be positively associated with social risk-taking and generalized risk-taking orientation in clinically anxious individuals who had never sought treatment. These results suggest that certain individual cognitive factors may contribute to the decision to seek treatment and may provide an interesting avenue of future investigation for increasing service utilization and treatment seeking in anxious populations. Copyright © 2011 Elsevier Ltd. All rights reserved.
Wittenberg-Lyles, Elaine; Washington, Karla; Oliver, Debra Parker; Shaunfield, Sara; Gage, L Ashley; Mooney, Megan; Lewis, Alexandria
2015-04-01
Although hospice agencies are required to provide informal caregivers (family or friends of the patient) with formal bereavement support when their loved one passes, most bereavement interventions lack standardization and remain untested. We employed the Dual Processing Model of Bereavement as a theoretical framework for assessing the potential of a secret Facebook group for bereaved hospice caregivers. A mixed-methods approach was utilized to analyze online communication (posts and comments) in the secret Facebook group, and self-reported outcome measures on depression and anxiety were compared pre- and post-intervention. Sixteen caregivers participated in the secret Facebook group over a period of nine months. The majority of online talk was oriented to restoration, revealing abrupt and anticipated triggers that evoked feelings of loss. Caregivers also shared loss orientation through storytelling, sharing and giving advice, and encouraging others to manage the challenges of coping. Caregiver anxiety and depression were lower after the intervention. This pilot study provides insight into the use of a secret Facebook group to facilitate bereavement support to caregivers. Findings highlight the promise of Facebook for hospice bereavement support. Providers and researchers are encouraged to explore the positive outcomes associated with bereavement support.
Guhde, Jacqueline
2010-01-01
Combining the use of several different types of technology enables an instructor to develop teaching methods to address a specific problem area that students encounter and can greatly affect student learning. This article discusses a program that was developed that utilized SimMan, instructor-produced videos, and online discussion to stimulate critical thinking in beginning-level nursing students. The goal was to make the student aware of the importance of an initial thorough assessment of a client. This is especially difficult since new students are focused on learning the skills and have not had enough clinical experience to appreciate the importance of assessment. The first two videos show a nurse who makes a very incomplete assessment of the client and misses important observations. This leads to the patient (SimMan) going into respiratory distress. The third video demonstrates a complete assessment. The students viewed and discussed the first two videos online. After the third video, students posted their own reflections of this activity including what they learned and how this would change their behavior. The outcome showed an increased awareness of the importance of assessment. Instructors observed a change in behavior, which included early assessment of the client.
Greene, Jessica
2014-01-01
Background Those who pay for health care are increasingly looking for strategies to influence individuals to take a more active role in managing their health. Incenting health plan members and/or employees to participate in wellness programs is a widely used approach. Objective In this study, we examine financial incentives to health plan members to participate in an online self-management/wellness program—US $20 for completing the patient activation measure (PAM) and an additional US $40 for completing 8 learning modules. We examined whether the characteristics of plan members differed by the degree to which they responded to the incentives. Further, we examined whether participation in the wellness program was associated with improvements in PAM scores and changes in health care utilization. Methods This retrospective study compared demographic characteristics and change in PAM scores and health utilization for 144,625 health plan members in 2011. Four groups were compared: (1) those who were offered the incentives but chose not to participate (n=128,634), (2) those who received the initial incentive (PAM only) but did not complete 8 topics (n=7099), (3) those who received both incentives (completing 8 topics but no more) (n=2693), and (4) those who received both incentives and continued using the online program beyond what was required by the incentives (n=6249). Results The vast majority of health plan members did not participate in the program (88.91%, 128,634/144,675). Of those who participated, only 7099 of 16,041 (44.25%) completed the PAM for the first incentive, 2693 (16.79%) completed 8 topics for the second incentive, and 6249 (38.96%) received both incentives and continued using the program beyond the incentive requirements. Nonparticipants were more likely to be men and to have lower health risk scores on average than the other three groups of participants (P<.001). In multivariate regression models, those who used the online program (8 topics or beyond) increased their PAM score by approximately 1 point more than those who only took the PAM and did not use the wellness program (P<.03). In addition, emergency department visits were lower for all groups who responded to any level of the incentive as compared to those who did not (P<.01). No differences were found in other types of utilization. Conclusions The incentive was not sufficient to spark most health plan members to use the wellness program. However, the fact that many program participants went beyond the incentive in their use of the online wellness program suggests that the users of the online program found value in using it, and it was their own internal motivation that stimulated this additional use. Providing an incentive for program participation may be an effective pathway for working with less activated patients, particularly if the program is tailored to the needs of the less activated. PMID:25280348
Web Usage Data as a Means of Evaluating Public Health Messaging and Outreach
Brimmer, Dana J; Lin, Jin-Mann S; Tumpey, Abbigail J; Reeves, William C
2009-01-01
Background The Internet is increasingly utilized by researchers, health care providers, and the public to seek medical information. The Internet also provides a powerful tool for public health messaging. Understanding the needs of the intended audience and how they use websites is critical for website developers to provide better services to the intended users. Objective The aim of the study was to examine the utilization of the chronic fatigue syndrome (CFS) website at the Centers for Disease Control and Prevention (CDC). We evaluated (1) CFS website utilization, (2) outcomes of a CDC CFS public awareness campaign, and (3) user behavior related to public awareness campaign materials and CFS continuing medical education courses. Methods To describe and evaluate Web utilization, we collected Web usage data over an 18-month period and extracted page views, visits, referring domains, and geographic locations. We used page views as the primary measure for the CFS awareness outreach effort. We utilized market basket analysis and Markov chain model techniques to describe user behavior related to utilization of campaign materials and continuing medical education courses. Results The CDC CFS website received 3,647,736 views from more than 50 countries over the 18-month period and was the 33rd most popular CDC website. States with formal CFS programs had higher visiting density, such as Washington, DC; Georgia; and New Jersey. Most visits (71%) were from Web search engines, with 16% from non-search-engine sites and 12% from visitors who had bookmarked the site. The public awareness campaign was associated with a sharp increase and subsequent quick drop in Web traffic. Following the campaign, user interest shifted from information targeting consumer basic knowledge to information for health care professionals. The market basket analysis showed that visitors preferred the 60-second radio clip public service announcement over the 30-second one. Markov chain model results revealed that most visitors took the online continuing education courses in sequential order and were less likely to drop out after they reached the Introduction pages of the courses. Conclusions The utilization of the CFS website reflects a high level of interest in the illness by visitors to the site. The high utilization shows the website to be an important online resource for people seeking basic information about CFS and for those looking for professional health care and research information. Public health programs should consider analytic methods to further public health by understanding the characteristics of those seeking information and by evaluating the outcomes of public health campaigns. The website was an effective means to provide health information about CFS and serves as an important public health tool for community outreach. PMID:20026451
Object Segmentation Methods for Online Model Acquisition to Guide Robotic Grasping
NASA Astrophysics Data System (ADS)
Ignakov, Dmitri
A vision system is an integral component of many autonomous robots. It enables the robot to perform essential tasks such as mapping, localization, or path planning. A vision system also assists with guiding the robot's grasping and manipulation tasks. As an increased demand is placed on service robots to operate in uncontrolled environments, advanced vision systems must be created that can function effectively in visually complex and cluttered settings. This thesis presents the development of segmentation algorithms to assist in online model acquisition for guiding robotic manipulation tasks. Specifically, the focus is placed on localizing door handles to assist in robotic door opening, and on acquiring partial object models to guide robotic grasping. First, a method for localizing a door handle of unknown geometry based on a proposed 3D segmentation method is presented. Following segmentation, localization is performed by fitting a simple box model to the segmented handle. The proposed method functions without requiring assumptions about the appearance of the handle or the door, and without a geometric model of the handle. Next, an object segmentation algorithm is developed, which combines multiple appearance (intensity and texture) and geometric (depth and curvature) cues. The algorithm is able to segment objects without utilizing any a priori appearance or geometric information in visually complex and cluttered environments. The segmentation method is based on the Conditional Random Fields (CRF) framework, and the graph cuts energy minimization technique. A simple and efficient method for initializing the proposed algorithm which overcomes graph cuts' reliance on user interaction is also developed. Finally, an improved segmentation algorithm is developed which incorporates a distance metric learning (DML) step as a means of weighing various appearance and geometric segmentation cues, allowing the method to better adapt to the available data. The improved method also models the distribution of 3D points in space as a distribution of algebraic distances from an ellipsoid fitted to the object, improving the method's ability to predict which points are likely to belong to the object or the background. Experimental validation of all methods is performed. Each method is evaluated in a realistic setting, utilizing scenarios of various complexities. Experimental results have demonstrated the effectiveness of the handle localization method, and the object segmentation methods.
Practical Guidelines for Qualitative Research Using Online Forums
Im, Eun-Ok; Chee, Wonshik
2012-01-01
With an increasing number of Internet research in general, the number of qualitative Internet studies has recently increased. Online forums are one of the most frequently used qualitative Internet research methods. Despite an increasing number of online forum studies, very few articles have been written to provide practical guidelines to conduct an online forum as a qualitative research method. In this paper, practical guidelines in using an online forum as a qualitative research method are proposed based on three previous online forum studies. First, the three studies are concisely described. Practical guidelines are proposed based on nine idea categories related to issues in the three studies: (a) a fit with research purpose and questions; (b) logistics; (c) electronic versus conventional informed consent process; (d) structure and functionality of online forums; (e) interdisciplinary team; (f) screening methods; (g) languages; (h) data analysis methods; and (i) getting participants’ feedback. PMID:22918135
Practical guidelines for qualitative research using online forums.
Im, Eun-Ok; Chee, Wonshik
2012-11-01
With an increasing number of Internet research in general, the number of qualitative Internet studies has recently increased. Online forums are one of the most frequently used qualitative Internet research methods. Despite an increasing number of online forum studies, very few articles have been written to provide practical guidelines to conduct an online forum as a qualitative research method. In this article, practical guidelines in using an online forum as a qualitative research method are proposed based on three previous online forum studies. First, the three studies are concisely described. Practical guidelines are proposed based on nine idea categories related to issues in the three studies: (a) a fit with research purpose and questions, (b) logistics, (c) electronic versus conventional informed consent process, (d) structure and functionality of online forums, (e) interdisciplinary team, (f) screening methods, (g) languages, (h) data analysis methods, and (i) getting participants' feedback.
On-line fast response device and method for measuring dissolved gas in a fluid
Tutu, Narinder Kumar [Manorville, NY
2011-01-11
A method and device for the measurement of dissolved gas within a fluid. The fluid, substantially a liquid, is pumped into a pipe. The flow of the fluid is temporally restricted, creating one or more low pressure regions. A measurement indicative of trapped air is taken before and after the restriction. The amount of dissolved air is calculated from the difference between the first and second measurements. Preferably measurements indicative of trapped air is obtained from one or more pressure transducers, capacitance transducers, or combinations thereof. In the alternative, other methods such as those utilizing x-rays or gamma rays may also be used to detect trapped air. Preferably, the fluid is a hydraulic fluid, whereby dissolved air in the fluid is detected.
Bibliographic Utilities and the Use of Microcomputers in Libraries: Current and Projected Practices.
ERIC Educational Resources Information Center
McAninch, Glen
1986-01-01
Bibliographic utilities are marketing specially designed hardware and software that permit libraries to patch together automated cataloging, acquisitions, serials control, reference, online public catalogs, circulation, interlibrary loan, and administrative functions. The increasing complexity of the technology is making it more difficult to…
Poulos, Christine; Hauber, A Brett; González, Juan Marcos; Turpcu, Adam
2014-07-01
Biologic treatments for rheumatoid arthritis (RA) vary widely in both the time required to administer treatment and treatment frequency. This study aimed to quantify the rate at which RA patients are willing to trade off between the time required to administer treatment (duration) and treatment frequency. Respondents with a self-reported physician diagnosis of moderate to severe RA completed an online discrete choice experiment survey (also known as conjoint analysis). Respondents were presented with a series of treatment-choice questions. Each hypothetical treatment included 6 attributes: response rate, mode of administration, treatment duration, treatment frequency, and the risks of immediate mild and serious treatment reactions. Preference weights, also called marginal utilities or relative importances, were estimated using mixed-logit methods and then used to calculate the marginal rates of substitution between attributes, including treatment duration and treatment frequency. Among the 901 respondents, 505 were in the RA Information, Service, and Education group (www.risesupport.com) and 396 were members of an online panel. The marginal utility of changes in treatment features was largest for a 1-hour change in treatment duration, while a 1-unit change in the annual frequency of treatment was the second least important change. The marginal utility of changes in annual treatment frequency depends on the treatment duration and vice versa. Respondents would accept treatments with lower efficacy and greater risk to achieve lower duration and frequency. Previous studies have linked patient preferences to treatment adherence, suggesting that reductions in duration or frequency could improve adherence and health outcomes. Copyright © 2014 by the American College of Rheumatology.
E-therapy: practical, ethical, and legal issues.
Manhal-Baugus, M
2001-10-01
E-therapy is a term that has been coined to describe the process of interacting with a therapist online in ongoing conversations over time when the client and counselor are in separate or remote locations and utilize electronic means to communicate with each other. It is a relatively new modality of assisting individuals resolve life and relationship issues. E-therapy utilizes the power and convenience of the internet to allow simultaneous (synchronous) and time-delayed (asynchronous) communication between an individual and a professional. For the purposes of this paper, e-therapy is defined as a licensed mental health care professional providing mental health services via e-mail, video conferencing, virtual reality technology, chat technology, or any combination of these. It does not include self-help methods such as public bulletin boards or private listservs. E-therapy is not psychotherapy or psychological counseling per se since it does to presume to diagnose or treat mental or medical disorders. However, e-therapy is flexible enough to also address many difficulties which clients present to the online therapist. As in other types of therapy, such as bibliotherapy, occupational therapy, and rehabilitation therapy), e-therapy does assist a person in addressing specific concerns with specific skills. This article examines the following issues of e-therapy. First, the types of e-therapy and related services are described to provide a background for the article. Second, the ethical codes which have been adopted by three major professional organizations (American Counseling Association, National Board for Certified Counselors, and the International Society for Mental Health Online) pertaining to e-therapy are summarized for professional and consumer use. Finally, the practical, ethical, and legal issues of e-therapy services are discussed fully.
Wesnes, Keith A; Brooker, Helen; Ballard, Clive; McCambridge, Laura; Stenton, Robert; Corbett, Anne
2017-12-01
The advent of long-term remotely conducted clinical trials requires assessments which can be administered online. This paper considers the utility, reliability, sensitivity and validity of an internet-based system for measuring changes in cognitive function which is being used in one such trial. The Platform for Research Online to investigate Genetics and Cognition in Ageing is a 10-year longitudinal and entirely remote study launched in November 2015. The CogTrack TM System is being used to monitor changes in important aspects of cognitive function using tests of attention, information processing and episodic memory. On study entry, the participants performed CogTrack TM up to three times over seven days, and these data are evaluated in this paper. During the first six months of the study, 14 531 individuals aged 50 to 94 years enrolled and performed the CogTrack TM System, 8627 of whom completed three test sessions. On the first administration, 99.4% of the study tasks were successfully completed. Repeated testing showed training/familiarisation effects on four of the ten measures which had largely stabilised by the third test session. The factor structure of the various measures was found to be robust. Evaluation of the influence of age identified clinically relevant declines over the age range of the population on one or more measures from all tasks. The results of these analyses identify CogTrack TM to be a practical and valid method to reliably, sensitively, remotely and repeatedly collect cognitive data from large samples of individuals aged 50 and over. Copyright © 2017 John Wiley & Sons, Ltd. Copyright © 2017 John Wiley & Sons, Ltd.
Forecasting influenza in Hong Kong with Google search queries and statistical model fusion.
Xu, Qinneng; Gel, Yulia R; Ramirez Ramirez, L Leticia; Nezafati, Kusha; Zhang, Qingpeng; Tsui, Kwok-Leung
2017-01-01
The objective of this study is to investigate predictive utility of online social media and web search queries, particularly, Google search data, to forecast new cases of influenza-like-illness (ILI) in general outpatient clinics (GOPC) in Hong Kong. To mitigate the impact of sensitivity to self-excitement (i.e., fickle media interest) and other artifacts of online social media data, in our approach we fuse multiple offline and online data sources. Four individual models: generalized linear model (GLM), least absolute shrinkage and selection operator (LASSO), autoregressive integrated moving average (ARIMA), and deep learning (DL) with Feedforward Neural Networks (FNN) are employed to forecast ILI-GOPC both one week and two weeks in advance. The covariates include Google search queries, meteorological data, and previously recorded offline ILI. To our knowledge, this is the first study that introduces deep learning methodology into surveillance of infectious diseases and investigates its predictive utility. Furthermore, to exploit the strength from each individual forecasting models, we use statistical model fusion, using Bayesian model averaging (BMA), which allows a systematic integration of multiple forecast scenarios. For each model, an adaptive approach is used to capture the recent relationship between ILI and covariates. DL with FNN appears to deliver the most competitive predictive performance among the four considered individual models. Combing all four models in a comprehensive BMA framework allows to further improve such predictive evaluation metrics as root mean squared error (RMSE) and mean absolute predictive error (MAPE). Nevertheless, DL with FNN remains the preferred method for predicting locations of influenza peaks. The proposed approach can be viewed a feasible alternative to forecast ILI in Hong Kong or other countries where ILI has no constant seasonal trend and influenza data resources are limited. The proposed methodology is easily tractable and computationally efficient.
Yang, Iseul; Kim, Ki Hun; Lee, Ju Yong; Moon, Myeong Hee
2014-01-10
A direct analytical method for high speed quantitative analysis of lipids in human blood plasma using on-line chip-type asymmetrical flow field-flow fractionation-electrospray ionization-tandem mass spectrometry (cAF4-ESI-MS/MS) with selected reaction monitoring (SRM) is described in this study. Utilizing a miniaturized cAF4 channel, high speed size separation of high density lipoproteins (HDL) and low density lipoproteins (LDL) from plasma samples can be accomplished at a microflow rate along with simultaneous desalting of lipoproteins, both of which are conducive to direct ESI of lipids in lipoproteins. This study demonstrates that the SRM method to monitor phospholipids during cAF4-ESI-MS/MS can be successfully applied to the quantitation of lipid molecules in plasma lipoproteins without the need of a separate lipid extraction process. For quantitation of lipids in HDL and LDL during cAF4-ESI-MS/MS runs, a protein standard (carbonic anhydrase, 29 kDa) was added to each plasma sample as an internal standard such that a peak intensity of y67(+5) ions, which are high abundant SRM product ions of CA, could be utilized to calculate the relative intensity of each lipid molecule. The developed method was applied to plasma samples from 10 patients with coronary artery disease (CAD) and 10 healthy control samples, and quantitative analysis of 39 lipid molecules including phosphatidylcholines, phosphatidylethanolamines, sphingomyelins, phosphatidylglycerols, and phosphatidylinositols, resulted in the selection of 13 PL species showing more than 2.5 fold difference in relative abundance (p<0.01) between the groups. The present study demonstrates a high speed analytical method for determining plasma lipid content and distribution without an organic solvent extraction of lipids from plasma. Copyright © 2013 Elsevier B.V. All rights reserved.
Incorporating Geographic Information Science in the BSc Environ-mental Science Program in Botswana
NASA Astrophysics Data System (ADS)
Akinyemi, Felicia O.
2018-05-01
Critical human capacity in Geographic Information Science (GISc) is developed at the Botswana International University of Science and Technology, a specialized, research university. Strategies employed include GISc courses offered each semester to students from various programs, the conduct of field-based projects, enrolment in online courses, geo-spatial initiatives with external partners, and final year research projects utilizing geospatial technologies. A review is made of available GISc courses embedded in the Bachelor of Science Environmental Science program. GISc courses are incorporated in three Bachelor degree programs as distinct courses. Geospatial technologies are employed in several other courses. Student researches apply GIS and Remote Sensing methods to environmental and geological themes. The overarching goals are to equip students in various disciplines to utilize geospatial technologies, and enhance their spatial thinking and reasoning skills.
Shaeer, Osama
2013-02-01
Utility of phosphodiesterase inhibitors (PDEi's) for the treatment of erectile dysfunction (ED) has been the focus of experimental and clinical studies. However, public preferences, attitudes, and experiences with PDEi's are rarely addressed from a population/epidemiology viewpoint. The Global Online Sexuality Survey (GOSS) is a worldwide epidemiologic study of sexuality and sexual disorders, first launched in the Middle East in 2010, followed by the United States in 2011. To describe the utilization rates, trends, and attitudes toward PDEi's in the United States in the year 2011. GOSS was randomly deployed to English-speaking male Web surfers in the United States via paid advertising on Facebook®, comprising 146 questions. Utilization rates and preferences for PDEi's by brand. Six hundred three subjects participated; mean age 53.43 years ± 13.9. Twenty-three point seven percent used PDEi's on more consistent basis, 37.5% of those with ED vs. 15.6% of those without ED (recreational users). Unrealistic safety concerns including habituation were pronounced. Seventy-nine point six percent of utilization was on prescription basis. PDEi's were purchased through pharmacies (5.3% without prescription) and in 16.5% over the Internet (68% without prescription). Nine point six percent nonprescription users suffered coronary heart disease. Prescription use was inclined toward sildenafil, generally, and particularly in severe cases, and shifted toward tadalafil in moderate ED and for recreational use, followed by vardenafil. Nonprescription utilization trends were similar, except in recreational use where sildenafil came first. In the United States unrealistic safety concerns over PDEi's utility exist and should be addressed. Preference for particular PDEi's over the others is primarily dictated by health-care providers, despite lack of guidelines that govern physician choice. Online and over-the-counter sales of PDEi's are common, and can expose a subset of users to health risks. Recreational use of PDEi's is common, and could be driven by undiagnosed premature ejaculation. © 2012 International Society for Sexual Medicine.
Impact of Predicting Health Care Utilization Via Web Search Behavior: A Data-Driven Analysis
Zhang, Liangliang; Zhu, Josh; Fang, Shiyuan; Cheng, Tim; Hong, Chloe; Shah, Nigam H
2016-01-01
Background By recent estimates, the steady rise in health care costs has deprived more than 45 million Americans of health care services and has encouraged health care providers to better understand the key drivers of health care utilization from a population health management perspective. Prior studies suggest the feasibility of mining population-level patterns of health care resource utilization from observational analysis of Internet search logs; however, the utility of the endeavor to the various stakeholders in a health ecosystem remains unclear. Objective The aim was to carry out a closed-loop evaluation of the utility of health care use predictions using the conversion rates of advertisements that were displayed to the predicted future utilizers as a surrogate. The statistical models to predict the probability of user’s future visit to a medical facility were built using effective predictors of health care resource utilization, extracted from a deidentified dataset of geotagged mobile Internet search logs representing searches made by users of the Baidu search engine between March 2015 and May 2015. Methods We inferred presence within the geofence of a medical facility from location and duration information from users’ search logs and putatively assigned medical facility visit labels to qualifying search logs. We constructed a matrix of general, semantic, and location-based features from search logs of users that had 42 or more search days preceding a medical facility visit as well as from search logs of users that had no medical visits and trained statistical learners for predicting future medical visits. We then carried out a closed-loop evaluation of the utility of health care use predictions using the show conversion rates of advertisements displayed to the predicted future utilizers. In the context of behaviorally targeted advertising, wherein health care providers are interested in minimizing their cost per conversion, the association between show conversion rate and predicted utilization score, served as a surrogate measure of the model’s utility. Results We obtained the highest area under the curve (0.796) in medical visit prediction with our random forests model and daywise features. Ablating feature categories one at a time showed that the model performance worsened the most when location features were dropped. An online evaluation in which advertisements were served to users who had a high predicted probability of a future medical visit showed a 3.96% increase in the show conversion rate. Conclusions Results from our experiments done in a research setting suggest that it is possible to accurately predict future patient visits from geotagged mobile search logs. Results from the offline and online experiments on the utility of health utilization predictions suggest that such prediction can have utility for health care providers. PMID:27655225
Springfield, Emily; Gwozdek, Anne E; Peet, Melissa; Kerschbaum, Wendy E
2012-04-01
Program evaluation is a necessary component of curricular change and innovation. It ascertains whether an innovation has met benchmarks and contributes to the body of knowledge about educational methodologies and supports the use of evidence-based practice in teaching. Education researchers argue that rigorous program evaluation should utilize a mixed-method approach, triangulating both qualitative and quantitative methods to understand program effectiveness. This approach was used to evaluate the University of Michigan Dental Hygiene Degree Completion E-Learning (online) Program. Quantitative data included time spent on coursework, grades, publications, course evaluation results, and survey responses. Qualitative data included student and faculty responses in focus groups and on surveys as well as students' portfolio reflections. The results showed the program was academically rigorous, fostering students' ability to connect theory with practice and apply evidence-based practice principles. These results also demonstrated that the students had learned to critically reflect on their practice and develop expanded professional identities; going beyond the role of clinician, they began to see themselves as educators, advocates, and researchers. This evaluation model is easily adaptable and is applicable to any health science or other professional degree program. This study also raised important questions regarding the effect of meta-reflection on student confidence and professional behavior.
Receiving social support online: implications for health education.
White, M; Dorman, S M
2001-12-01
Online support groups are expanding as the general public becomes more comfortable using computer-mediated communication technology. These support groups have certain benefits for users who may not be able to or do not have the desire to attend face-to-face sessions. Online support groups also present challenges when compared to traditional face-to-face group communication. Communication difficulties may arise resulting from lack of visual and aural cues found in traditional face-to-face communication. Online support groups have emerged within health care as a result of the need individuals have to know more about health conditions they are confronting. The proliferation of these online communities may provide an opportunity for health educators to reach target populations with specific messages. This paper reviews the development of health-related online support groups, examines research conducted within these communities, compares their utility with traditional support groups and discusses the implications of these groups for health education.
Althoff, Tim; Jindal, Pranav; Leskovec, Jure
2017-02-01
Many of today's most widely used computing applications utilize social networking features and allow users to connect, follow each other, share content, and comment on others' posts. However, despite the widespread adoption of these features, there is little understanding of the consequences that social networking has on user retention, engagement, and online as well as offline behavior. Here, we study how social networks influence user behavior in a physical activity tracking application. We analyze 791 million online and offline actions of 6 million users over the course of 5 years, and show that social networking leads to a significant increase in users' online as well as offline activities. Specifically, we establish a causal effect of how social networks influence user behavior. We show that the creation of new social connections increases user online in-application activity by 30%, user retention by 17%, and user offline real-world physical activity by 7% (about 400 steps per day). By exploiting a natural experiment we distinguish the effect of social influence of new social connections from the simultaneous increase in user's motivation to use the app and take more steps. We show that social influence accounts for 55% of the observed changes in user behavior, while the remaining 45% can be explained by the user's increased motivation to use the app. Further, we show that subsequent, individual edge formations in the social network lead to significant increases in daily steps. These effects diminish with each additional edge and vary based on edge attributes and user demographics. Finally, we utilize these insights to develop a model that accurately predicts which users will be most influenced by the creation of new social network connections.
Althoff, Tim; Jindal, Pranav; Leskovec, Jure
2017-01-01
Many of today’s most widely used computing applications utilize social networking features and allow users to connect, follow each other, share content, and comment on others’ posts. However, despite the widespread adoption of these features, there is little understanding of the consequences that social networking has on user retention, engagement, and online as well as offline behavior. Here, we study how social networks influence user behavior in a physical activity tracking application. We analyze 791 million online and offline actions of 6 million users over the course of 5 years, and show that social networking leads to a significant increase in users’ online as well as offline activities. Specifically, we establish a causal effect of how social networks influence user behavior. We show that the creation of new social connections increases user online in-application activity by 30%, user retention by 17%, and user offline real-world physical activity by 7% (about 400 steps per day). By exploiting a natural experiment we distinguish the effect of social influence of new social connections from the simultaneous increase in user’s motivation to use the app and take more steps. We show that social influence accounts for 55% of the observed changes in user behavior, while the remaining 45% can be explained by the user’s increased motivation to use the app. Further, we show that subsequent, individual edge formations in the social network lead to significant increases in daily steps. These effects diminish with each additional edge and vary based on edge attributes and user demographics. Finally, we utilize these insights to develop a model that accurately predicts which users will be most influenced by the creation of new social network connections. PMID:28345078
NASA Technical Reports Server (NTRS)
Warner, James E.; Zubair, Mohammad; Ranjan, Desh
2017-01-01
This work investigates novel approaches to probabilistic damage diagnosis that utilize surrogate modeling and high performance computing (HPC) to achieve substantial computational speedup. Motivated by Digital Twin, a structural health management (SHM) paradigm that integrates vehicle-specific characteristics with continual in-situ damage diagnosis and prognosis, the methods studied herein yield near real-time damage assessments that could enable monitoring of a vehicle's health while it is operating (i.e. online SHM). High-fidelity modeling and uncertainty quantification (UQ), both critical to Digital Twin, are incorporated using finite element method simulations and Bayesian inference, respectively. The crux of the proposed Bayesian diagnosis methods, however, is the reformulation of the numerical sampling algorithms (e.g. Markov chain Monte Carlo) used to generate the resulting probabilistic damage estimates. To this end, three distinct methods are demonstrated for rapid sampling that utilize surrogate modeling and exploit various degrees of parallelism for leveraging HPC. The accuracy and computational efficiency of the methods are compared on the problem of strain-based crack identification in thin plates. While each approach has inherent problem-specific strengths and weaknesses, all approaches are shown to provide accurate probabilistic damage diagnoses and several orders of magnitude computational speedup relative to a baseline Bayesian diagnosis implementation.
ERIC Educational Resources Information Center
Blankenship, Justin C.; Gibson, Rhonda
2016-01-01
In a closed-cohort educational program design, students enter a program together, take the same courses together, and, ideally, graduate together. In an effort to increase interaction and communication among students, it has been utilized more and more for online graduate programs. This article surveyed students in one of the few closed-cohort…
ERIC Educational Resources Information Center
Reilly, Erin Dawna; Stafford, Rose Eleanore; Williams, Kyle Marie; Corliss, Stephanie Brooks
2014-01-01
The use of massive open online courses (MOOCs) to expand students' access to higher education has raised questions regarding the extent to which this course model can provide and assess authentic, higher level student learning. In response to this need, MOOC platforms have begun utilizing automated essay scoring (AES) systems that allow…
On-Iine Management System for the Periodicals in JAERl
NASA Astrophysics Data System (ADS)
Itabashi, Keizo; Mineo, Yukinobu
The article describes the outlines of the on-line serials control system utilizing a mini-computer. The system is dealt with subscription, check-in, claiming, inquiry of serials information and binding of journals. In this system journal acquisition with serial arrival prediction in an on-line mode is carried on a priority principle to record the actual receipt of incoming issues.
ERIC Educational Resources Information Center
Cramer, Kenneth M.; Collins, Kandice R.; Snider, Don; Fawcett, Graham
2006-01-01
We further evaluated the Virtual Lecture Hall (VLH) (Cramer, Collins, Snider, & Fawcett, in press), an instructional computer-based platform to deliver PowerPoint slides threaded with audio clips for later review. Students from either an in-class or online section (ns = 810 and 74 respectively) of introductory psychology had access to live…
ERIC Educational Resources Information Center
Hou, Huei-Tse; Wu, Sheng-Yi
2011-01-01
Online discussions have been widely utilized as an educational activity, and much research has been conducted on the process and behaviors involved in asynchronous discussions. However, research on behavioral patterns in learners' synchronous discussions, including the process of social knowledge construction and project coordination is limited.…
Status Tracking and Reporting the Quality Matters Process at the University of North Georgia
ERIC Educational Resources Information Center
Lamson, Nina; Babb, David; Schmidt, Robert
2016-01-01
The University of North Georgia utilizes the internal Quality Matters (QM) process to review all their online courses. As our online course offerings have increased, the need to devise a system to track the QM process, ensure timely reviews, and begin recertification of previously reviewed courses was necessary. As a result, several reports have…
ERIC Educational Resources Information Center
Hou, Huei-Tse; Cheng, Kun-Hung
2012-01-01
Peer assessment is utilized extensively in digital learning, and many studies have examined the positive influences of online peer assessment on learning (eg, Tseng & Tsai, 2007). However, other studies indicate that this type of activity has negative influences. For example, students may question the fairness of an assessment or disagree with…
ERIC Educational Resources Information Center
Kunzler, Jayson S.
2012-01-01
This dissertation describes a research study designed to explore whether customization of online instruction results in improved learning in a college business statistics course. The study involved utilizing computer spreadsheet technology to develop an intelligent tutoring system (ITS) designed to: a) collect and monitor individual real-time…
Applying Multimedia Learning Theories to the Redesign of Residence Life Online Training Modules
ERIC Educational Resources Information Center
Kaliher, Licinia Barrueco
2010-01-01
The purpose of this Executive Position Paper (EPP) is to develop a model for improving the online training modules utilized by a mid-Atlantic Residence Life department. The complexity of the Residence Life staff positions, coupled with demands from other university departments and the need to provide as much information as possible, resulted in an…
The Community of Inquiry Instrument: Validation and Results in Online Health Care Disciplines
ERIC Educational Resources Information Center
Carlon, S.; Bennett-Woods, D.; Berg, B.; Claywell, L.; LeDuc, K.; Marcisz, N.; Mulhall, M.; Noteboom, T.; Snedden, T.; Whalen, K.; Zenoni, L.
2012-01-01
This descriptive study using survey design sought to establish the efficacy of the Community of Inquiry instrument utilized in a study published by Shea and Bidjerano in 2009 exploring an online community of business students in a multi-institutional study. The current study sought to validate the instrument with a population of students in three…
Morriss, Danielle; Warren, Nancy; Truelove, James; Warthen, Jennifer; Ross, Charles Paul; Mood, George; Snook, Charlotte Anne; Borckardt, Jeffrey
2017-01-01
Background Adolescents with autism spectrum disorder (ASD) spend more time using electronic screen media than neurotypical peers; preliminary evidence suggests that computer-assisted or Web-based interventions may be beneficial for social skills acquisition. The current generation of adolescents accesses the Internet through computers or phones almost daily, and Facebook is the most frequently used social media platform among teenagers. This is the first research study to explore the use of Facebook as a therapeutic tool for adolescents with ASD. Objective To study the feasibility and clinical impact of using a Web-based social platform in combination with social skills training for adolescents with ASD. Methods This pilot study enrolled 6 participants (all males; mean age 14.1 years) in an online social skills training group using Facebook. Data was collected on the participants’ social and behavioral functioning at the start and conclusion of the intervention. Outcome measures included the Social Responsiveness Scale-2, the Social Skills Improvement System Rating Scale, and the Project Rex Parent Survey. Participants were surveyed at the conclusion of the intervention regarding their experience. Results No statistically significant differences in measurable outcomes were observed. However, the online addition of Facebook was well received by participants and their parents. The Facebook intervention was able to be executed with a careful privacy protocol in place and at minimal safety risk to participants. Conclusions The utilization of Facebook to facilitate delivery of social skills training for adolescents with ASD appears to be feasible, although the clinical impact of such an addition is still unclear. It is important to note that social difficulties of participants persisted with the addition of the online platform and participants still required assistance to engage with peers in an online environment. A Web-based intervention such as the one utilized in this study has the potential to reach a mass number of patients with ASD and could address disparities in access to in-person treatment services. However, the complexity and evolving nature of Facebook’s website and privacy settings leads to a number of unique online safety concerns that may limit its clinical utility. Issues encountered in our study support the development of an alternative and closed Web-based social platform designed specifically for the target audience with ASD; this platform could be a safer and more easily moderated setting for aiding in social skills development. Despite a small sample size with no statistically significant improvements of target symptoms, the use of electronic screen media as a therapeutic tool for adolescents with ASD is still a promising area of research warranting further investigation. Our study helps inform future obstacles regarding feasibility and safety. PMID:28115297
Wan, Bo; Fu, Guicui; Li, Yanruoyue; Zhao, Youhu
2016-08-10
The cementing manufacturing process of ferrite phase shifters has the defect that cementing strength is insufficient and fractures always appear. A detection method of these defects was studied utilizing the multi-sensors Prognostic and Health Management (PHM) theory. Aiming at these process defects, the reasons that lead to defects are analyzed in this paper. In the meanwhile, the key process parameters were determined and Differential Scanning Calorimetry (DSC) tests during the cure process of resin cementing were carried out. At the same time, in order to get data on changing cementing strength, multiple-group cementing process tests of different key process parameters were designed and conducted. A relational model of cementing strength and cure temperature, time and pressure was established, by combining data of DSC and process tests as well as based on the Avrami formula. Through sensitivity analysis for three process parameters, the on-line detection decision criterion and the process parameters which have obvious impact on cementing strength were determined. A PHM system with multiple temperature and pressure sensors was established on this basis, and then, on-line detection, diagnosis and control for ferrite phase shifter cementing process defects were realized. It was verified by subsequent process that the on-line detection system improved the reliability of the ferrite phase shifter cementing process and reduced the incidence of insufficient cementing strength defects.
Scarton, Lou Ann; Del Fiol, Guilherme; Oakley-Girvan, Ingrid; Gibson, Bryan; Logan, Robert; Workman, T Elizabeth
2018-01-01
The research examined complementary and alternative medicine (CAM) information-seeking behaviors and preferences from short- to long-term cancer survival, including goals, motivations, and information sources. A mixed-methods approach was used with cancer survivors from the "Assessment of Patients' Experience with Cancer Care" 2004 cohort. Data collection included a mail survey and phone interviews using the critical incident technique (CIT). Seventy survivors from the 2004 study responded to the survey, and eight participated in the CIT interviews. Quantitative results showed that CAM usage did not change significantly between 2004 and 2015. The following themes emerged from the CIT: families' and friends' provision of the initial introduction to a CAM, use of CAM to manage the emotional and psychological impact of cancer, utilization of trained CAM practitioners, and online resources as a prominent source for CAM information. The majority of participants expressed an interest in an online information-sharing portal for CAM. Patients continue to use CAM well into long-term cancer survivorship. Finding trustworthy sources for information on CAM presents many challenges such as reliability of source, conflicting information on efficacy, and unknown interactions with conventional medications. Study participants expressed interest in an online portal to meet these needs through patient testimonials and linkage of claims to the scientific literature. Such a portal could also aid medical librarians and clinicians in locating and evaluating CAM information on behalf of patients.
Borgmann, Hendrik; DeWitt, Sasha; Tsaur, Igor; Haferkamp, Axel; Loeb, Stacy
2015-01-01
Twitter use has grown exponentially within the urological community. We aimed to determine the perceptions of the impact of Twitter on users' clinical practice, research, and other professional activities. We performed an 11-item online survey of Twitter contributors during two major urological meetings: the European Association of Urology (EAU) and the American Urological Association (AUA) annual meetings. During the EAU 2014 meeting, we distributed the survey via the meeting official Twitter feed. During the AUA 2014 meeting, we applied a new method by directly sending the survey to Twitter contributors. We performed a subset analysis for assessing the perceived impact of Twitter on the clinical practice of physicians. Among 312 total respondents, the greatest perceived benefits of Twitter among users were for networking (97%) and disseminating information (96%), followed by research (75%), advocacy (74%) and career development (62%). In total, 65% of Twitter users have dealt with guidelines on online medical professionalism and 71% of physician users found that Twitter had an impact on their clinical practice, and 33% had made a clinical decision based on an online case discussion. Our results suggest that Twitter users in the urological community perceive important benefits. These benefits extend to multiple professional domains, particularly networking, disseminating information, remote conference participation, research, and advocacy. This is the first study that has been disseminated to targeted individuals from the urological community directly through tweets, providing a proof of principle for this research method.
Utilizing Virtual and Personal Learning Environments for Optimal Learning
ERIC Educational Resources Information Center
Terry, Krista, Ed.; Cheney, Amy, Ed.
2016-01-01
The integration of emerging technologies in higher education presents a new set of challenges and opportunities for educators. With a growing need for customized lesson plans in online education, educators are rethinking the design and development of their learning environments. "Utilizing Virtual and Personal Learning Environments for…
Effectiveness of Simulation in a Hybrid and Online Networking Course.
ERIC Educational Resources Information Center
Cameron, Brian H.
2003-01-01
Reports on a study that compares the performance of students enrolled in two sections of a Web-based computer networking course: one utilizing a simulation package and the second utilizing a static, graphical software package. Analysis shows statistically significant improvements in performance in the simulation group compared to the…
Lee, E.A.; Strahan, A.P.; Thurman, E.M.
2001-01-01
An analytical method for the determination of glyphosate, its principal degradation compound, aminomethylphosphonic acid (AMPA), and glufosinate in water with varying matrices has been developed. Four different sample matrices fortified at 0.2 and 2.0 ?g/L (micrograms per liter) were analyzed using precolumn derivatization with 9-fluorenylmethylchloroformate (FMOC). After derivatization, cleanup and concentration were accomplished using automated online solid-phase extraction followed by elution with the mobile phase allowing for direct injection into a liquid chromatograph/mass spectrometer (LC/MS). Analytical conditions for MS detection were optimized, and quantitation was carried out using the following representative ions: 390 and 168 for glyphosate; 332, 110, and 136 for AMPA; and 402, 180, and 206 for glufosinate. Matrix effects were minimized by utilizing standard addition for quantification and an isotope-labeled glyphosate (2-13C,15N) as the internal standard. Method detection limits (MDLs) were 0.084 ?g/L for glyphosate, 0.078 ?g/L for AMPA, and 0.057 ?g/L for glufosinate. The method reporting limits (MRLs) were set at 0.1 ?g/L for all three compounds. The mean recovery values ranged from 88.0 to 128.7 percent, and relative standard deviation values ranged from 5.6 to 32.6 percent.
Computer Security Issues in Online Banking: An Assessment from the Context of Usable Security
NASA Astrophysics Data System (ADS)
Mahmadi, FN; Zaaba, ZF; Osman, A.
2016-11-01
Today's online banking is a convenient mode of finance management. Despite the ease of doing online banking, there are people that still sceptical in utilizing it due to perception and its security. This paper highlights the subject of online banking security in Malaysia, especially from the perspective of the end-users. The study is done by assessing human computer interaction, usability and security. An online survey utilising 137 participants was previously conducted to gain preliminary insights on security issues of online banking in Malaysia. Following from those results, 37 participants were interviewed to gauge deeper understanding about end-users perception on online banking within the context of usable security. The results suggested that most of the end-users are continuingly experiencing significant difficulties especially in relation to the technical terminologies, security features and other technical issues. Although the security features are provided to provide a shield or protection, users are still incapable to cope with the technical aspects of such implementation.
Design and implementation of online automatic judging system
NASA Astrophysics Data System (ADS)
Liang, Haohui; Chen, Chaojie; Zhong, Xiuyu; Chen, Yuefeng
2017-06-01
For lower efficiency and poorer reliability in programming training and competition by currently artificial judgment, design an Online Automatic Judging (referred to as OAJ) System. The OAJ system including the sandbox judging side and Web side, realizes functions of automatically compiling and running the tested codes, and generating evaluation scores and corresponding reports. To prevent malicious codes from damaging system, the OAJ system utilizes sandbox, ensuring the safety of the system. The OAJ system uses thread pools to achieve parallel test, and adopt database optimization mechanism, such as horizontal split table, to improve the system performance and resources utilization rate. The test results show that the system has high performance, high reliability, high stability and excellent extensibility.
Entropy-based consensus clustering for patient stratification.
Liu, Hongfu; Zhao, Rui; Fang, Hongsheng; Cheng, Feixiong; Fu, Yun; Liu, Yang-Yu
2017-09-01
Patient stratification or disease subtyping is crucial for precision medicine and personalized treatment of complex diseases. The increasing availability of high-throughput molecular data provides a great opportunity for patient stratification. Many clustering methods have been employed to tackle this problem in a purely data-driven manner. Yet, existing methods leveraging high-throughput molecular data often suffers from various limitations, e.g. noise, data heterogeneity, high dimensionality or poor interpretability. Here we introduced an Entropy-based Consensus Clustering (ECC) method that overcomes those limitations all together. Our ECC method employs an entropy-based utility function to fuse many basic partitions to a consensus one that agrees with the basic ones as much as possible. Maximizing the utility function in ECC has a much more meaningful interpretation than any other consensus clustering methods. Moreover, we exactly map the complex utility maximization problem to the classic K -means clustering problem, which can then be efficiently solved with linear time and space complexity. Our ECC method can also naturally integrate multiple molecular data types measured from the same set of subjects, and easily handle missing values without any imputation. We applied ECC to 110 synthetic and 48 real datasets, including 35 cancer gene expression benchmark datasets and 13 cancer types with four molecular data types from The Cancer Genome Atlas. We found that ECC shows superior performance against existing clustering methods. Our results clearly demonstrate the power of ECC in clinically relevant patient stratification. The Matlab package is available at http://scholar.harvard.edu/yyl/ecc . yunfu@ece.neu.edu or yyl@channing.harvard.edu. Supplementary data are available at Bioinformatics online. © The Author (2017). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com
Maloney, Stephen; Nicklen, Peter; Rivers, George; Foo, Jonathan; Ooi, Ying Ying; Reeves, Scott; Walsh, Kieran; Ilic, Dragan
2015-07-21
Blended learning describes a combination of teaching methods, often utilizing digital technologies. Research suggests that learner outcomes can be improved through some blended learning formats. However, the cost-effectiveness of delivering blended learning is unclear. This study aimed to determine the cost-effectiveness of a face-to-face learning and blended learning approach for evidence-based medicine training within a medical program. The economic evaluation was conducted as part of a randomized controlled trial (RCT) comparing the evidence-based medicine (EBM) competency of medical students who participated in two different modes of education delivery. In the traditional face-to-face method, students received ten 2-hour classes. In the blended learning approach, students received the same total face-to-face hours but with different activities and additional online and mobile learning. Online activities utilized YouTube and a library guide indexing electronic databases, guides, and books. Mobile learning involved self-directed interactions with patients in their regular clinical placements. The attribution and differentiation of costs between the interventions within the RCT was measured in conjunction with measured outcomes of effectiveness. An incremental cost-effectiveness ratio was calculated comparing the ongoing operation costs of each method with the level of EBM proficiency achieved. Present value analysis was used to calculate the break-even point considering the transition cost and the difference in ongoing operation cost. The incremental cost-effectiveness ratio indicated that it costs 24% less to educate a student to the same level of EBM competency via the blended learning approach used in the study, when excluding transition costs. The sunk cost of approximately AUD $40,000 to transition to the blended model exceeds any savings from using the approach within the first year of its implementation; however, a break-even point is achieved within its third iteration and relative savings in the subsequent years. The sensitivity analysis indicates that approaches with higher transition costs, or staffing requirements over that of a traditional method, are likely to result in negative value propositions. Under the study conditions, a blended learning approach was more cost-effective to operate and resulted in improved value for the institution after the third year iteration, when compared to the traditional face-to-face model. The wider applicability of the findings are dependent on the type of blended learning utilized, staffing expertise, and educational context.
The Study on Network Examinational Database based on ASP Technology
NASA Astrophysics Data System (ADS)
Zhang, Yanfu; Han, Yuexiao; Zhou, Yanshuang
This article introduces the structure of the general test base system based on .NET technology, discussing the design of the function modules and its implementation methods. It focuses on key technology of the system, proposing utilizing the WEB online editor control to solve the input problem and regular expression to solve the problem HTML code, making use of genetic algorithm to optimize test paper and the automated tools of WORD to solve the problem of exporting papers and others. Practical effective design and implementation technology can be used as reference for the development of similar systems.
Tailored program evaluation: Past, present, future.
Suggs, L Suzanne; Cowdery, Joan E; Carroll, Jennifer B
2006-11-01
This paper discusses measurement issues related to the evaluation of computer-tailored health behavior change programs. As the first generation of commercially available tailored products is utilized in health promotion programming, programmers and researchers are becoming aware of the unique challenges that the evaluation of these programs presents. A project is presented that used an online tailored health behavior assessment (HBA) in a worksite setting. Process and outcome evaluation methods are described and include the challenges faced, and strategies proposed and implemented, for meeting them. Implications for future research in tailored program development, implementation, and evaluation are also discussed.
The use of online methodologies in studying paraphilias - A review.
Griffiths, Mark D
2012-12-01
Aims The paper outlines the advantages, disadvantages, and other implications of using the Internet to collect data from those people displaying sexually paraphilic behavior. Method Using empirical and clinical studies published in the paraphilia literature, the main issues concerning online paraphilic data collection are reviewed and discussed. Results The specific online data collection methods examined included the collection of paraphilic data via (i) online questionnaires, (ii) online forums, (iii) online interviews, and (iv) online participant observation. Conclusions It is concluded that there are many useful and practical advantages of using online research methodologies to examine sexually paraphilic behavior.
Overview and benchmark analysis of fuel cell parameters estimation for energy management purposes
NASA Astrophysics Data System (ADS)
Kandidayeni, M.; Macias, A.; Amamou, A. A.; Boulon, L.; Kelouwani, S.; Chaoui, H.
2018-03-01
Proton exchange membrane fuel cells (PEMFCs) have become the center of attention for energy conversion in many areas such as automotive industry, where they confront a high dynamic behavior resulting in their characteristics variation. In order to ensure appropriate modeling of PEMFCs, accurate parameters estimation is in demand. However, parameter estimation of PEMFC models is highly challenging due to their multivariate, nonlinear, and complex essence. This paper comprehensively reviews PEMFC models parameters estimation methods with a specific view to online identification algorithms, which are considered as the basis of global energy management strategy design, to estimate the linear and nonlinear parameters of a PEMFC model in real time. In this respect, different PEMFC models with different categories and purposes are discussed first. Subsequently, a thorough investigation of PEMFC parameter estimation methods in the literature is conducted in terms of applicability. Three potential algorithms for online applications, Recursive Least Square (RLS), Kalman filter, and extended Kalman filter (EKF), which has escaped the attention in previous works, have been then utilized to identify the parameters of two well-known semi-empirical models in the literature, Squadrito et al. and Amphlett et al. Ultimately, the achieved results and future challenges are discussed.
The Impact of Internet Use for Students
NASA Astrophysics Data System (ADS)
Puspita, R. H.; Rohedi, D.
2018-02-01
Development of Internet technology increasingly modern and sophisticated not only benefit users but also have an effect that is not good for users, especially among students, from a study of 120 students sampled, Internet usage will become addicted and more likely to ha-case negative and less support in learning activities. This is evident from the results of research using the Internet for social media as much as 82 respondents or 68.33% answered always and 50 respondents or 41.67% answered frequently, use for online gaming activity, response of 120 respondents 65 respondents or 54, 17% answered always utilize the internet for online games, 50 respondents or 41.67% answered frequently use the internet for online games, while utilizing the Internet for watch youtube, 56 respondents or 46.67% answered frequently use the Internet to watch youtube and 62 respondents or 51.67% always use the Internet to watch youtube, answers of 120 respondents 41 respondents or 34.17% answered rarely use the Internet to learn and seek information
Hobday, John V; Gaugler, Joseph E; Mittelman, Mary S
2017-03-01
The current project tested the feasibility and utility of the CARES® Dementia-Friendly Hospital™ (CDFH) program, a 4-module, online training program for nursing assistants (NAs) and allied hospital workers (AHWs) who provide care to individuals with dementia. A single group pretest/posttest design was used for 25 hospital NAs/AHWs, and quantitative and qualitative data were collected to determine whether NAs'/AHWs' knowledge of hospital-based dementia care significantly increased, and if CDFH was perceived as useful and acceptable. Dementia care knowledge increased significantly (p < 0.001). Open- and closed-ended data suggested that the delivery of online training to NAs/AHWs to enhance dementia care is feasible, useful, and efficient. Ongoing gaps in care exist for individuals with dementia in hospitals, and delivering robust training for NAs/AHWs may serve as an effective modality to enhance quality of dementia care in such settings. [Res Gerontol Nurs. 2017; 10(2):58-65.]. Copyright 2017, SLACK Incorporated.
Filik, Ruth; Leuthold, Hartmut
2013-04-19
Little is known about the on-line evaluation of information relating to well-known story characters during text comprehension. For example, it is not clear in how much detail readers represent character-based information, and the time course over which this information is utilized during on-line language comprehension. We describe an event-related potential (ERP) study (Experiment 1) and an eye-tracking study (Experiment 2) investigating whether, and when, readers utilize their prior knowledge of a character in processing event information. Participants read materials in which an event was described that either did or did not fit with the character's typical behavior. ERPs elicited by the critical word revealed an N400 effect when the action described did not fit with the character's typical behavior. Results from early eye movement measures supported these findings, and later measures suggested that such violations were more easily accommodated for well-known fictional characters than real-world characters. Copyright © 2013 Elsevier B.V. All rights reserved.
Phase-change lines, scale breaks, and trend lines using Excel 2013.
Deochand, Neil; Costello, Mack S; Fuqua, R Wayne
2015-01-01
The development of graphing skills for behavior analysts is an ongoing process. Specialized graphing software is often expensive, is not widely disseminated, and may require specific training. Dixon et al. (2009) provided an updated task analysis for graph making in the widely used platform Excel 2007. Vanselow and Bourret (2012) provided online tutorials that outline some alternate methods also using Office 2007. This article serves as an update to those task analyses and includes some alternative and underutilized methods in Excel 2013. To examine the utility of our recommendations, 12 psychology graduate students were presented with the task analyses, and the experimenters evaluated their performance and noted feedback. The task analyses were rated favorably. © Society for the Experimental Analysis of Behavior.
Note: Simple hysteresis parameter inspector for camera module with liquid lens
NASA Astrophysics Data System (ADS)
Chen, Po-Jui; Liao, Tai-Shan; Hwang, Chi-Hung
2010-05-01
A method to inspect hysteresis parameter is presented in this article. The hysteresis of whole camera module with liquid lens can be measured rather than a single lens merely. Because the variation in focal length influences image quality, we propose utilizing the sharpness of images which is captured from camera module for hysteresis evaluation. Experiments reveal that the profile of sharpness hysteresis corresponds to the characteristic of contact angle of liquid lens. Therefore, it can infer that the hysteresis of camera module is induced by the contact angle of liquid lens. An inspection process takes only 20 s to complete. Thus comparing with other instruments, this inspection method is more suitable to integrate into the mass production lines for online quality assurance.
Zhang, Yuchi; Liu, Chunming; Li, Jing; Qi, Yanjuan; Li, Yuchun; Li, Sainan
2015-09-01
A new method for the extraction of medicinal herbs termed ultrasonic-assisted dynamic extraction (UADE) was designed and evaluated. This technique was coupled with counter-current chromatography (CCC) and centrifugal partition chromatography (CPC) and then applied to the continuous extraction and online isolation of chemical constituents from Paeonia lactiflora Pall (white peony) roots. The mechanical parameters, including the pitch and diameter of the shaft, were optimized by means of mathematical modeling. Furthermore, the configuration and mechanism of online UADE coupled with CCC and CPC were elaborated. The stationary phases of the two-phase solvent systems from CCC and CPC were utilized as the UADE solution. The extraction solution was pumped into the sample loop and then introduced into the CCC column; the target compounds were eluted with the lower aqueous phase of the two-phase solvent system. During the CCC separation, the extraction solution was continuously fed in the sample loop by turning the ten-port valve; the extraction solution was then pumped into the CPC column and eluted by the mobile phase of the two-phase solvent system mentioned above. When the first cycle of the UADE/CCC/CPC was completed, the second cycle experiment could be carried out, and so on. Four target compounds (albiflorin, benzoylpaeoniflorin, paeoniflorin, and galloylpaeoniflorin) with purities above 94.96% were successfully extracted and isolated online using the two-phase solvent system comprising ethyl acetate-n-butanol-ethanol-water (1:3.5:2:4.5, v/v/v/v). Compared with conventional extraction methods, the instrumental setup of the present method offers the advantages of automation and systematic extraction and isolation of natural products. Crown Copyright © 2015. Published by Elsevier B.V. All rights reserved.
Improving adherence to web-based cessation programs: a randomized controlled trial study protocol
2013-01-01
Background Reducing smoking prevalence is a public health priority that can save more lives and money than almost any other known preventive intervention. Internet interventions have the potential for enormous public health impact given their broad reach and effectiveness. However, most users engage only minimally with even the best designed websites, diminishing their impact due to an insufficient ‘dose’. Two approaches to improve adherence to Internet cessation programs are integrating smokers into an online social network and providing free nicotine replacement therapy (NRT). Active participation in online communities is associated with higher rates of cessation. Integrating smokers into an online social network can increase support and may also increase utilization of cessation tools and NRT. Removing barriers to NRT may increase uptake and adherence, and may also increase use of online cessation tools as smokers look for information and support while quitting. The combination of both strategies may exert the most powerful effects on adherence compared to either strategy alone. Methods/Design This study compares the efficacy of a smoking cessation website (WEB) alone and in conjunction with free NRT and a social network (SN) protocol designed to integrate participants into the online community. Using a 2 (SN, no SN) x 2 (NRT, no NRT) randomized, controlled factorial design with repeated measures at baseline, 3 months, and 9 months, this study will recruit N = 4,000 new members of an internet cessation program and randomize them to: 1) WEB, 2) WEB + SN, 3) WEB + NRT, or 4) WEB + SN + NRT. Hypotheses are that all interventions will outperform WEB and that WEB + SN + NRT will outperform WEB + NRT and WEB + SN on 30-day point prevalence abstinence at 9 months. Exploratory analyses will examine theory-driven hypotheses about the mediators and moderators of outcome. Discussion Addressing adherence in internet cessation programs is critical and timely to leverage their potential public health impact. This study is innovative in its use of a social network approach to improve behavioral and pharmacological treatment utilization to improve cessation. This approach is significant for reducing tobacco’s devastating disease burden and for optimizing behavior change in other arenas where adherence is just as critical. Trial registration ISRCTN:ISRCTN45127327 PMID:23414086
Shabi, Iwok N; Shabi, Olabode M; Akewukereke, Modupe A; Udofia, Emem P
2011-12-01
To determine the extent, purpose, determinants and the impact of the utilization of Internet medical databases among the respondents. A descriptive cross sectional survey of 540 randomly selected physicians at the two tertiary health institutions in Osun State, south west, Nigeria. A total of 444 (82.2%) physicians completed the questionnaires. All the respondents have used the internet medical databases within the last 4 weeks of the study. Majority, (53.8%) used the internet resources at least once in 2 weeks, while 12.2% used the resources every day. The online resources are mainly sought for Routine patient care and for Research purposes. pubmed (70.3%), hinari (69.0%), and Free medical journals (60.1%) are the frequently used online databases/digital archives. The internet resources has positively impacted the Clinical practice (40.0%) and Research output (65.5%) of the physicians. There had been considerable increase in the extent and quality of utilization of online medical databases which has positively impacted on the Clinical practice and Research output of the physicians. Ease of finding the needed information and the availability of evidence based resources are the major determinants of the databases utilized. © 2011 The authors. Health Information and Libraries Journal © 2011 Health Libraries Group.
Kamal, Noreen; Fels, Sidney
2013-01-01
Positive health behaviour is critical to preventing illness and managing chronic conditions. A user-centred methodology was employed to design an online social network to motivate health behaviour change. The methodology was augmented by utilizing the Appeal, Belonging, Commitment (ABC) Framework, which is based on theoretical models for health behaviour change and use of online social networks. The user-centred methodology included four phases: 1) initial user inquiry on health behaviour and use of online social networks; 2) interview feedback on paper prototypes; 2) laboratory study on medium fidelity prototype; and 4) a field study on the high fidelity prototype. The points of inquiry through these phases were based on the ABC Framework. This yielded an online social network system that linked to external third party databases to deploy to users via an interactive website.
Antonio, Carla; Larson, Tony; Gilday, Alison; Graham, Ian; Bergström, Ed; Thomas-Oates, Jane
2007-11-23
This work reports the development and optimisation of a negative ion mode on-line LC-ESI-MS/MS method for the sensitive targeted analysis of the key glycolytic intermediates, sugars and sugar phosphates from plants, using a porous graphitic carbon (PGC) stationary phase and an MS compatible mobile phase. Using this newly developed method, separation and detection of a solution of standard compounds is achieved in less than 20min. Target metabolite compounds were identified in plant extracts from their characteristic retention times, and product ion spectra. This on-line PGC-ESI-MS/MS method shows good linearity over the concentration range 0-100microM, selectivity, short analysis time, and limits of detection of 0.1microM for disaccharides trehalose (Tre), sucrose (Suc), and maltose, and 1.5microM for hexose phosphates fructose-6-phosphate (Fru6P), glucose-1-phosphate (Glc1P), and glucose-6-phosphate (Glc6P), and phosphoenolpyruvate (PEP). This paper describes details of our method and its application to the simultaneous quantitative analysis of soluble sugars and sugar phosphates from Arabidopsis thaliana tissues. We have demonstrated the utility of our method for the analysis of biological samples by applying it to the simultaneous quantitation of changes in soluble sugars and sugar phosphates in A. thaliana Columbia-0 (Col-0) and its starchless phosphoglucomutase (pgm) mutant over a 12-h light/12-h dark growth cycle.
ERIC Educational Resources Information Center
Graham, Lee; Thomas, Lisa
2011-01-01
The traditional and most highly utilized manner of instruction in the online Certification Course focuses on training instructors to teach a pre-designed course with common features. This model limits instructional options for faculty to those which are available in the course. Faculty who are accustomed to academic freedom and autonomy may not be…
ERIC Educational Resources Information Center
Irby, Stefan M.; Borda, Emily J.; Haupt, Justin
2018-01-01
Here, we describe the implementation a hybrid general chemistry teaching laboratory curriculum that replaces a portion of a course's traditional "wet lab" experiences with online virtual lab modules. These modules intentionally utilize representations on all three levels of the chemistry triplet-macroscopic, submicroscopic, and symbolic.…
ERIC Educational Resources Information Center
Lindorff, Margaret; McKeown, Tui
2013-01-01
Purpose: This paper aims to be a response to the "Call for Papers" on challenges for the practice of, and new modes of questioning and delivery in, business education. The authors seek to do this through an investigation of the disadvantages and benefits associated with the move towards using online technologies in an on-campus…
ERIC Educational Resources Information Center
Watson, Sunnie Lee; Koehler, Adrie A.; Ertmer, Peggy; Kim, WooRi; Rico, Rudy
2018-01-01
Promoting and sustaining effective discussion--that which contributes to learning--is a skill that eludes many instructors (Darling-Hammond, 2008; Ge, Yamashiro, & Lee, 2000). This study explored the role and strategies of an expert instructor in an online advanced instructional design (ID) course that utilized a case-based learning (CBL)…
Paracha, Noman; Thuresson, Per-Olof; Moreno, Santiago G; MacGilchrist, Katherine S
2016-10-01
For patients with late-stage (metastatic) breast cancer, the impact of treatment on health-related quality of life is a key factor in decision-making. A systematic review was conducted to identify health state utility values (HSUVs) for late-stage breast cancer, derived using methods preferred by health technology assessment (HTA) agencies, by treatment line. The aim was to generate a list of HSUVs, that could help to justify the values used to populate cost-utility models. Areas covered: Ten electronic databases, international congress websites and online HSUV databases were searched (January 1995-May 2014) for HSUVs for adults with late-stage breast cancer that had been derived from methods favoured by HTA agencies. Publications were included only if they reported studies that originated HSUVs. Expert commentary: Large numbers of HSUVs are available for late-stage breast cancer in the published literature. Contrary to expectations, the HSUVs reported in the literature vary greatly for some health states. As a result, the choice of HSUV can have considerable implications for the outcomes of economic evaluations. Standardization of HSUV methodology is expected to reduce variability; however, further research is recommended for assessing the sensitivity of generic preference-based measures in late-stage (metastatic) breast cancer.
e-Cigarette Awareness, Use, and Harm Perceptions in US Adults
Richardson, Amanda; Niaura, Raymond S.; Vallone, Donna M.; Abrams, David B.
2012-01-01
Objectives. We estimated e-cigarette (electronic nicotine delivery system) awareness, use, and harm perceptions among US adults. Methods. We drew data from 2 surveys conducted in 2010: a national online study (n = 2649) and the Legacy Longitudinal Smoker Cohort (n = 3658). We used multivariable models to examine e-cigarette awareness, use, and harm perceptions. Results. In the online survey, 40.2% (95% confidence interval [CI] = 37.3, 43.1) had heard of e-cigarettes, with awareness highest among current smokers. Utilization was higher among current smokers (11.4%; 95% CI = 9.3, 14.0) than in the total population (3.4%; 95% CI = 2.6, 4.2), with 2.0% (95% CI = 1.0, 3.8) of former smokers and 0.8% (95% CI = 0.35, 1.7) of never-smokers ever using e-cigarettes. In both surveys, non-Hispanic Whites, current smokers, young adults, and those with at least a high-school diploma were most likely to perceive e-cigarettes as less harmful than regular cigarettes. Conclusions. Awareness of e-cigarettes is high, and use among current and former smokers is evident. We recommend product regulation and careful surveillance to monitor public health impact and emerging utilization patterns, and to ascertain why, how, and under what conditions e-cigarettes are being used. PMID:22813087
Oshri, Assaf; Himelboim, Itai; Kwon, Josephine A.; Sutton, Tara E.; Mackillop, James
2015-01-01
Objective: The aim of the present study was to examine the links between severities of child abuse (physical vs. sexual), and alcohol use versus problems via social media (Facebook) peer connection structures. Method: A total of 318 undergraduate female students at a public university in the United States reported severity of child abuse experiences and current alcohol use and problems. Social network data were obtained directly from the individuals’ Facebook network. Results: Severity of childhood physical abuse was positively linked to alcohol use and problems via eigenvector centrality, whereas severity of childhood sexual abuse was negatively linked to alcohol use and problems via clustering coefficient. Conclusions: Childhood physical and sexual abuse were linked positively and negatively, respectively, to online social network patterns associated with alcohol use and problems. The study suggests the potential utility of these online network patterns as risk indices and ultimately using social media as a platform for targeted preventive interventions. PMID:26562592
Real-time physics-based 3D biped character animation using an inverted pendulum model.
Tsai, Yao-Yang; Lin, Wen-Chieh; Cheng, Kuangyou B; Lee, Jehee; Lee, Tong-Yee
2010-01-01
We present a physics-based approach to generate 3D biped character animation that can react to dynamical environments in real time. Our approach utilizes an inverted pendulum model to online adjust the desired motion trajectory from the input motion capture data. This online adjustment produces a physically plausible motion trajectory adapted to dynamic environments, which is then used as the desired motion for the motion controllers to track in dynamics simulation. Rather than using Proportional-Derivative controllers whose parameters usually cannot be easily set, our motion tracking adopts a velocity-driven method which computes joint torques based on the desired joint angular velocities. Physically correct full-body motion of the 3D character is computed in dynamics simulation using the computed torques and dynamical model of the character. Our experiments demonstrate that tracking motion capture data with real-time response animation can be achieved easily. In addition, physically plausible motion style editing, automatic motion transition, and motion adaptation to different limb sizes can also be generated without difficulty.
Integrating segmentation methods from the Insight Toolkit into a visualization application.
Martin, Ken; Ibáñez, Luis; Avila, Lisa; Barré, Sébastien; Kaspersen, Jon H
2005-12-01
The Insight Toolkit (ITK) initiative from the National Library of Medicine has provided a suite of state-of-the-art segmentation and registration algorithms ideally suited to volume visualization and analysis. A volume visualization application that effectively utilizes these algorithms provides many benefits: it allows access to ITK functionality for non-programmers, it creates a vehicle for sharing and comparing segmentation techniques, and it serves as a visual debugger for algorithm developers. This paper describes the integration of image processing functionalities provided by the ITK into VolView, a visualization application for high performance volume rendering. A free version of this visualization application is publicly available and is available in the online version of this paper. The process for developing ITK plugins for VolView according to the publicly available API is described in detail, and an application of ITK VolView plugins to the segmentation of Abdominal Aortic Aneurysms (AAAs) is presented. The source code of the ITK plugins is also publicly available and it is included in the online version.
Advanced online control mode selection for gas turbine aircraft engines
NASA Astrophysics Data System (ADS)
Wiseman, Matthew William
The modern gas turbine aircraft engine is a complex, highly nonlinear system the operates in a widely varying environment. Traditional engine control techniques based on the hydro mechanical control concepts of early turbojet engines are unable to deliver the performance required from today's advanced engine designs. A new type of advanced control utilizing multiple control modes and an online mode selector is investigated, and various strategies for improving the baseline mode selection architecture are introduced. The ability to five-tune actuator command outputs is added to the basic mode selection and blending process, and mode selection designs that we valid for the entire flight envelope are presented. Methods for optimizing the mode selector to improve overall engine performance are also discussed. Finally, using flight test data from a GE F110-powered F16 aircraft, the full-envelope mode selector designs are validated and shown to provide significant performance benefits. Specifically, thrust command tracking is enhanced while critical engine limits are protected, with very little impact on engine efficiency.
Chen, Bifan; Lin, Ziqing; Alpert, Andrew J; Fu, Cexiong; Zhang, Qunying; Pritts, Wayne A; Ge, Ying
2018-06-19
Therapeutic monoclonal antibodies (mAbs) are an important class of drugs for a wide spectrum of human diseases. Liquid chromatography (LC) coupled to mass spectrometry (MS) is one of the techniques in the forefront for comprehensive characterization of analytical attributes of mAbs. Among various protein chromatography modes, hydrophobic interaction chromatography (HIC) is a popular offline nondenaturing separation technique utilized to purify and analyze mAbs, typically with the use of non-MS-compatible mobile phases. Herein we demonstrate for the first time, the application of direct HIC-MS and HIC-tandem MS (MS/MS) with electron capture dissociation (ECD) for analyzing intact mAbs on quadrupole-time-of-flight (Q-TOF) and Fourier transform ion cyclotron resonance (FTICR) mass spectrometers, respectively. Our method allows for rapid determination of relative hydrophobicity, intact masses, and glycosylation profiles of mAbs as well as sequence and structural characterization of the complementarity-determining regions in an online configuration.
Clyne, Wendy
2016-01-01
Background Some midwives are known to experience both professional and organizational sources of psychological distress, which can manifest as a result of the emotionally demanding midwifery work, and the traumatic work environments they endure. An online intervention may be one option midwives may engage with in pursuit of effective support. However, the priorities for the development of an online intervention to effectively support midwives in work-related psychological distress have yet to be explored. Objective The aim of this study was to explore priorities in the development of an online intervention to support midwives in work-related psychological distress. Methods A two-round online Delphi study was conducted. This study invited both qualitative and quantitative data from experts recruited via a scoping literature search and social media channels. Results In total, 185 experts were invited to participate in this Delphi study. Of all participants invited to contribute, 35.7% (66/185) completed Round 1 and of those who participated in this first round, 67% (44/66) continued to complete Round 2. Out of 39 questions posed over two rounds, 18 statements (46%) achieved consensus, 21 (54%) did not. Participants were given the opportunity to write any additional comments as free text. In total, 1604 free text responses were collected and categorized into 2446 separate statements of opinion, creating a total of 442 themes. Overall, participants agreed that in order to effectively support midwives in work-related psychological distress, online interventions should make confidentiality and anonymity a high priority, along with 24-hour mobile access, effective moderation, an online discussion forum, and additional legal, educational, and therapeutic components. It was also agreed that midwives should be offered a simple user assessment to identify those people deemed to be at risk of either causing harm to others or experiencing harm themselves, and direct them to appropriate support. Conclusions This study has identified priorities for the development of online interventions to effectively support midwives in work-related psychological distress. The impact of any future intervention of this type will be optimized by utilizing these findings in the development process. PMID:27405386
Moreno, Megan; Wilt, Megan Pumper
2018-01-01
Background Adolescents and young adults frequently post depression symptom references on social media; previous studies show positive associations between depression posts and self-reported depression symptoms. Depression is common among young people and this population often experiences many barriers to mental health care. Thus, social media may be a new resource to identify, recruit, and intervene with young people at risk for depression. Objective The purpose of this pilot study was to test a social media intervention on Tumblr. We used social media to identify and recruit participants and to deliver the intervention of online depression resources. Methods This randomized pilot intervention identified Tumblr users age 15-23 who posted about depression using the search term “#depress”. Eligible participants were recruited via Tumblr messages; consented participants completed depression surveys and were then randomized to an intervention of online mental health resources delivered via a Tumblr message, while control participants did not receive resources. Postintervention online surveys assessed resource access and usefulness and control groups were asked whether they would have liked to receive resources. Analyses included t tests. Results A total of 25 participants met eligibility criteria. The mean age of the participants was 17.5 (SD 1.9) and 65% were female with average score on the Patient Health Questionnaire-9 of 17.5 (SD 5.9). Among the 11 intervention participants, 36% (4/11) reported accessing intervention resources and 64% (7/11) felt the intervention was acceptable. Among the 14 control participants, only 29% (4/14) of reported that receiving resources online would be acceptable (P=.02). Participants suggested anonymity and ease of use as important characteristics in an online depression resource. Conclusions The intervention was appropriately targeted to young people at risk for depression, and recruitment via Tumblr was feasible. Most participants in the intervention group felt the social media approach was acceptable, and about a third utilized the online resources. Participants who had not experienced the intervention were less likely to find it acceptable. Future studies should explore this approach in larger samples. Social media may be an appropriate platform for online depression interventions for young people. PMID:29650507
Stadler, Eduard; Eibel, Anna; Fast, David; Freißmuth, Hilde; Holly, Christian; Wiech, Mathias; Moszner, Norbert; Gescheidt, Georg
2018-05-16
We have developed a simple method for determining the quantum yields of photo-induced reactions. Our setup features a fibre coupled UV-Vis spectrometer, LED irradiation sources, and a calibrated spectrophotometer for precise measurements of the LED photon flux. The initial slope in time-resolved absorbance profiles provides the quantum yield. We show the feasibility of our methodology for the kinetic analysis of photochemical reactions and quantum yield determination. The typical chemical actinometers, ferrioxalate and ortho-nitrobenzaldehyde, as well as riboflavin, a spiro-compound, phosphorus- and germanium-based photoinitiators for radical polymerizations and the frequently utilized photo-switch azobenzene serve as paradigms. The excellent agreement of our results with published data demonstrates the high potential of the proposed method as a convenient alternative to the time-consuming chemical actinometry.
NASA Astrophysics Data System (ADS)
Zhou, Yi; Tang, Yan; Deng, Qinyuan; Zhao, Lixin; Hu, Song
2017-08-01
Three-dimensional measurement and inspection is an area with growing needs and interests in many domains, such as integrated circuits (IC), medical cure, and chemistry. Among the methods, broadband light interferometry is widely utilized due to its large measurement range, noncontact and high precision. In this paper, we propose a spatial modulation depth-based method to retrieve the surface topography through analyzing the characteristics of both frequency and spatial domains in the interferogram. Due to the characteristics of spatial modulation depth, the technique could effectively suppress the negative influences caused by light fluctuations and external disturbance. Both theory and experiments are elaborated to confirm that the proposed method can greatly improve the measurement stability and sensitivity with high precision. This technique can achieve a superior robustness with the potential to be applied in online topography measurement.
Zhang, Melvyn W. B.; Tran, Bach Xuan; Le, Huong Thi; Long, Nguyen Hoang; Le, Huong Thi; Hinh, Nguyen Duc; Tho, Tran Dinh; Le, Bao Nguyen; Thuc, Vu Thi Minh; Ngo, Chau; Tu, Nguyen Huu; Latkin, Carl A.; Ho, Roger CM
2017-01-01
Objectives The average alcohol consumption per capita among Vietnamese adults has consistently increased. Although alcohol-related disorders have been extensively studied, there is a paucity of research shedding light on this issue among Internet users. The study aimed to examine the severity of alcohol-related disorders and other associated factors that might predispose individuals towards alcohol usage in a sample of youths recruited online. Methods An online cross-sectional study was conducted with 1,080 Vietnamese youths. A standardized questionnaire was used. Respondent-driven sampling was applied to recruit participants. Multivariate logistic and Tobit regressions were utilized to identify the associated factors. Results About 59.5% of the males and 12.7% of the total youths declared that they were actively using alcohol. From the total sample, a cumulative total of 32.3% of the participants were drinking alcohol, with 21.8% and 25.0% of the participants being classified as drinking hazardously and binge drinkers, respectively. The majority of the participants (60.7%) were in the pre-contemplative stage. Conclusions A high prevalence of hazardous drinking was recognized among online Vietnamese youths. In addition, we found relationships between alcohol use disorder and other addictive disorders, such as tobacco smoking and water-pipe usage. Our results highlighted that the majority of the individuals are not receptive to the idea of changing their alcohol habits, and this would imply that there ought to be more government effort towards the implementation of effective alcohol control policies. PMID:28523209
Atwood, Molly E; Friedman, Aliza; Meisner, Brad A; Cassin, Stephanie E
2018-05-01
Bariatric surgery patients often experience physical and psychosocial stressors, and difficulty adjusting to significant lifestyle changes. As a result, social support groups that provide patients with support, coping skills, and nutritional information are valuable components of bariatric care. Support group attendance at bariatric centers is associated with greater post-surgery weight loss; however, several barriers hinder attendance at in-person support groups (e.g., travel distance to bariatric centers). Consequently, online support forums are an increasingly utilized resource for patients both before and after surgery. This study examined and described the type and frequency of social support provided on a large online bariatric surgery forum. A total of 1,412 messages in the pre- (n = 822) and post-surgery (n = 590) sections of the forum were coded using qualitative content analysis according to Cutrona and Suhr's (1992) Social Support Behavior Code model (i.e., including informational, tangible, esteem, network, and emotional support types). The majority of messages provided informational and emotional support regarding: a) factual information about the bariatric procedure and nutrition; b) advice for coping with the surgery preparation process, and physical symptoms; and c) encouragement regarding adherence to surgical guidelines, and weight loss progress. Network, esteem, and tangible support types were less frequent than informational and emotional support types. The results inform healthcare providers about the types of social support available to bariatric patients on online support forums and, thus, encourage appropriate referrals to this resource.
How Can Social Media Get Us in Trouble?
Langenfeld, Sean J; Batra, Rishi
2017-09-01
When utilized properly, social media offers several personal and professional benefits for the practicing surgeon, including peer networking, education, e-mentorship, marketing, recruitment, and patient outreach. However, unprofessional online behavior is common among surgeons, and this improper use of social media can be quite dangerous. This article reviews the dangers of social media and illustrates this with examples of unprofessional behavior and the associated consequences. It also provides recommendations for maintaining a professional and productive online persona. Surgeons must understand the various social media platforms and their target audience while upholding online professionalism at all times.
Implementation of a Flipped Classroom for Nuclear Medicine Physician CME.
Komarraju, Aparna; Bartel, Twyla B; Dickinson, Lisa A; Grant, Frederick D; Yarbrough, Tracy L
2018-06-21
Increasingly, emerging technologies are expanding instructional possibilities, with new methods being adopted to improve knowledge acquisition and retention. Within medical education, many new techniques have been employed in the undergraduate setting, with less utilization thus far in the continuing medical education (CME) sphere. This paper discusses the use of a new method for CME-the "flipped classroom," widely used in undergraduate medical education. This method engages learners by providing content before the live ("in class") session that aids in preparation and fosters in-class engagement. A flipped classroom method was employed using an online image-rich case-based module and quiz prior to a live CME session at a national nuclear medicine meeting. The preparatory material provided a springboard for in-depth discussion at the live session-a case-based activity utilizing audience response technology. Study participants completed a survey regarding their initial experience with this new instructional method. In addition, focus group interviews were conducted with session attendees who had or had not completed the presession material; transcripts were qualitatively analyzed. Quantitative survey data (completed by two-thirds of the session attendees) suggested that the flipped method was highly valuable and met attendee educational objectives. Analysis of focus group data yielded six themes broadly related to two categories-benefits of the flipped method for CME and programmatic considerations for successfully implementing the flipped method in CME. Data from this study have proven encouraging and support further investigations around the incorporation of this innovative teaching method into CME for nuclear imaging specialists.
Deep Learning Improves Antimicrobial Peptide Recognition.
Veltri, Daniel; Kamath, Uday; Shehu, Amarda
2018-03-24
Bacterial resistance to antibiotics is a growing concern. Antimicrobial peptides (AMPs), natural components of innate immunity, are popular targets for developing new drugs. Machine learning methods are now commonly adopted by wet-laboratory researchers to screen for promising candidates. In this work we utilize deep learning to recognize antimicrobial activity. We propose a neural network model with convolutional and recurrent layers that leverage primary sequence composition. Results show that the proposed model outperforms state-of-the-art classification models on a comprehensive data set. By utilizing the embedding weights, we also present a reduced-alphabet representation and show that reasonable AMP recognition can be maintained using nine amino-acid types. Models and data sets are made freely available through the Antimicrobial Peptide Scanner vr.2 web server at: www.ampscanner.com. amarda@gmu.edu for general inquiries and dan.veltri@gmail.com for web server information. Supplementary data are available at Bioinformatics online.
HitWalker2: visual analytics for precision medicine and beyond.
Bottomly, Daniel; McWeeney, Shannon K; Wilmot, Beth
2016-04-15
The lack of visualization frameworks to guide interpretation and facilitate discovery is a potential bottleneck for precision medicine, systems genetics and other studies. To address this we have developed an interactive, reproducible, web-based prioritization approach that builds on our earlier work. HitWalker2 is highly flexible and can utilize many data types and prioritization methods based upon available data and desired questions, allowing it to be utilized in a diverse range of studies such as cancer, infectious disease and psychiatric disorders. Source code is freely available at https://github.com/biodev/HitWalker2 and implemented using Python/Django, Neo4j and Javascript (D3.js and jQuery). We support major open source browsers (e.g. Firefox and Chromium/Chrome). wilmotb@ohsu.edu Supplementary data are available at Bioinformatics online. Additional information/instructions are available at https://github.com/biodev/HitWalker2/wiki. © The Author 2015. Published by Oxford University Press.
Hyett, Nerida; Kenny, Amanda; Dickson-Swift, Virginia
2017-10-01
There is increasing opportunity and support for occupational therapists to expand their scope of practice in community settings. However, evidence is needed to increase occupational therapists' knowledge, confidence, and capacity with building community participation and adopting community-centered practice roles. The purpose of this study is to improve occupational therapists' understanding of an approach to building community participation, through case study of a network of Canadian food security programs. Qualitative case study was utilized. Data were semistructured interviews, field observations, documents, and online social media. Thematic analysis was used to identify and describe four themes that relate to processes used to build community participation. The four themes were use of multiple methods, good leaders are fundamental, growing participation via social media, and leveraging outcomes. Occupational therapists can utilize an approach for building community participation that incorporates resource mobilization. Challenges of sustainability and social exclusion must be addressed.
Interactive Visualization of Computational Fluid Dynamics using Mosaic
NASA Technical Reports Server (NTRS)
Clucas, Jean; Watson, Velvin; Chancellor, Marisa K. (Technical Monitor)
1994-01-01
The Web provides new Methods for accessing Information world-wide, but the current text-and-pictures approach neither utilizes all the Web's possibilities not provides for its limitations. While the inclusion of pictures and animations in a paper communicates more effectively than text alone, It Is essentially an extension of the concept of "publication." Also, as use of the Web increases putting images and animations online will quickly load even the "Information Superhighway." We need to find forms of communication that take advantage of the special nature of the Web. This paper presents one approach: the use of the Internet and the Mosaic interface for data sharing and collaborative analysis. We will describe (and In the presentation, demonstrate) our approach: using FAST (Flow Analysis Software Toolkit), a scientific visualization package, as a data viewer and interactive tool called from MOSAIC. Our intent is to stimulate the development of other tools that utilize the unique nature of electronic communication.
A Multidimensional Analysis Tool for Visualizing Online Interactions
ERIC Educational Resources Information Center
Kim, Minjeong; Lee, Eunchul
2012-01-01
This study proposes and verifies the performance of an analysis tool for visualizing online interactions. A review of the most widely used methods for analyzing online interactions, including quantitative analysis, content analysis, and social network analysis methods, indicates these analysis methods have some limitations resulting from their…
Social Network Analysis of Elders' Health Literacy and their Use of Online Health Information
Jang, Haeran
2014-01-01
Objectives Utilizing social network analysis, this study aimed to analyze the main keywords in the literature regarding the health literacy of and the use of online health information by aged persons over 65. Methods Medical Subject Heading keywords were extracted from articles on the PubMed database of the National Library of Medicine. For health literacy, 110 articles out of 361 were initially extracted. Seventy-one keywords out of 1,021 were finally selected after removing repeated keywords and applying pruning. Regarding the use of online health information, 19 articles out of 26 were selected. One hundred forty-four keywords were initially extracted. After removing the repeated keywords, 74 keywords were finally selected. Results Health literacy was found to be strongly connected with 'Health knowledge, attitudes, practices' and 'Patient education as topic.' 'Computer literacy' had strong connections with 'Internet' and 'Attitude towards computers.' 'Computer literacy' was connected to 'Health literacy,' and was studied according to the parameters 'Attitude towards health' and 'Patient education as topic.' The use of online health information was strongly connected with 'Health knowledge, attitudes, practices,' 'Consumer health information,' 'Patient education as topic,' etc. In the network, 'Computer literacy' was connected with 'Health education,' 'Patient satisfaction,' 'Self-efficacy,' 'Attitude to computer,' etc. Conclusions Research on older citizens' health literacy and their use of online health information was conducted together with study of computer literacy, patient education, attitude towards health, health education, patient satisfaction, etc. In particular, self-efficacy was noted as an important keyword. Further research should be conducted to identify the effective outcomes of self-efficacy in the area of interest. PMID:25152835
Detoxification in Naturopathic Medicine: A Survey
Montalto, Melissa; Lovejoy, Jennifer; Weber, Wendy
2011-01-01
Abstract Objectives This study sought to assess the use of clinical detoxification therapies used by licensed naturopathic doctors (NDs) in the United States. Design This was a qualitative, descriptive, online survey of a convenience sample of NDs. Methods An online survey was conducted of NDs who were licensed in the United States. Responses were analyzed descriptively regarding the use of clinical detoxification therapies. Respondents were recruited from a membership list provided by the American Association of Naturopathic Physicians, and from alumni e-mail lists of Council of Naturopathic Medical Education accredited naturopathic medical schools. Results Surveys were sent out to 1442 e-mail addresses (261 were returned to sender); a total of 196 respondents completed the survey (16.6%). Ninety-two percent (92%) of respondents reported using clinical detoxification therapies. Over 75% of respondents utilized detoxification therapies primarily to treat patients for environmental exposures, general cleansing/preventive medicine, gastrointestinal disorders, and autoimmune disease. Regarding methods used, >75% reported using dietary measures, reducing environmental exposures, and using botanicals as detoxification therapies. Eighty-three percent (83%) of NDs surveyed reported using follow-up measurements to determine efficacy of detoxification therapies. The most common were patient symptom questionnaires (66%), patient medical histories (54%), and urinary provocative challenge testing (53%). Conclusions The majority of NDs responding to this survey reported routine use of clinical detoxification therapies to treat a range of medical conditions utilizing multiple therapeutic approaches. Although the majority of NDs reported using some follow-up measurements after detoxification therapy, few of these are an objective means to determine treatment efficacy. Further research is needed in the field of complementary and alternative medicine clinical detoxification to determine the safety and efficacy of these approaches. PMID:22103982
Gase, Lauren N; Barragan, Noel C; Robles, Brenda; Leighs, Michael; Kuo, Tony
2015-01-01
To assess the impact of the Choose Less, Weigh Less portion size health marketing campaign. A mixed-methods, cross-sectional evaluation. A quantitative Internet panel survey was administered through an online sampling vendor and qualitative interviews were conducted by street intercept. The panel survey included 796 participants, weighted to represent Los Angeles County. Street intercept interviews were conducted with 50 other participants. The Choose Less, Weigh Less campaign included print media on transit shelters, bus and rail cars, and billboards; radio and online advertising; and Web site content and social media outreach. The panel survey measured self-reported campaign exposure and outcomes, including knowledge of recommended daily calorie limits, attitudes toward portion sizes, and intent to reduce calories and portion size. Intercept interviews assessed campaign appeal, clarity, and utility. Weighted survey data were analyzed using logistic regression to assess the association between campaign exposure and outcomes. Interview data were analyzed for themes. The campaign reached 19.7% of the Los Angeles County population. Significant differences were seen for 2 of the 10 outcomes assessed. Participants who saw the campaign were more likely than those who did not to report fast-food portion sizes as being too large (adjusted odds ratio [Adj. OR]: 1.89; 95% confidence interval [CI]: 1.16, 3.07) and intention to choose a smaller portion (Adj. OR: 1.99; 95% CI: 1.20, 3.31). Qualitative data revealed three themes about appeal, clarity, and utility. Health marketing efforts targeting portion size can have relatively broad reach and limited but positive impacts on consumer attitudes and intent to select smaller portions.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Nabavizadeh, Nima, E-mail: nabaviza@ohsu.edu; Elliott, David A.; Chen, Yiyi
Purpose: To survey image guided radiation therapy (IGRT) practice patterns, as well as IGRT's impact on clinical workflow and planning treatment volumes (PTVs). Methods and Materials: A sample of 5979 treatment site–specific surveys was e-mailed to the membership of the American Society for Radiation Oncology (ASTRO), with questions pertaining to IGRT modality/frequency, PTV expansions, method of image verification, and perceived utility/value of IGRT. On-line image verification was defined as images obtained and reviewed by the physician before treatment. Off-line image verification was defined as images obtained before treatment and then reviewed by the physician before the next treatment. Results: Of 601 evaluablemore » responses, 95% reported IGRT capabilities other than portal imaging. The majority (92%) used volumetric imaging (cone-beam CT [CBCT] or megavoltage CT), with volumetric imaging being the most commonly used modality for all sites except breast. The majority of respondents obtained daily CBCTs for head and neck intensity modulated radiation therapy (IMRT), lung 3-dimensional conformal radiation therapy or IMRT, anus or pelvis IMRT, prostate IMRT, and prostatic fossa IMRT. For all sites, on-line image verification was most frequently performed during the first few fractions only. No association was seen between IGRT frequency or CBCT utilization and clinical treatment volume to PTV expansions. Of the 208 academic radiation oncologists who reported working with residents, only 41% reported trainee involvement in IGRT verification processes. Conclusion: Consensus guidelines, further evidence-based approaches for PTV margin selection, and greater resident involvement are needed for standardized use of IGRT practices.« less
Schatz, Philip; Moser, Rosemarie Scolaro; Solomon, Gary S.; Ott, Summer D.; Karpf, Robin
2012-01-01
Context: Limited data are available regarding the prevalence and nature of invalid computerized baseline neurocognitive test data. Objective: To identify the prevalence of invalid baselines on the desktop and online versions of ImPACT and to document the utility of correcting for left-right (L-R) confusion on the desktop version of ImPACT. Design: Cross-sectional study of independent samples of high school (HS) and collegiate athletes who completed the desktop or online versions of ImPACT. Participants or Other Participants: A total of 3769 HS (desktop = 1617, online = 2152) and 2130 collegiate (desktop = 742, online = 1388) athletes completed preseason baseline assessments. Main Outcome Measure(s): Prevalence of 5 ImPACT validity indicators, with correction for L-R confusion (reversing left and right mouse-click responses) on the desktop version, by test version and group. Chi-square analyses were conducted for sex and attentional or learning disorders. Results: At least 1 invalid indicator was present on 11.9% (desktop) versus 6.3% (online) of the HS baselines and 10.2% (desktop) versus 4.1% (online) of collegiate baselines; correcting for L-R confusion (desktop) decreased this overall prevalence to 8.4% (HS) and 7.5% (collegiate). Online Impulse Control scores alone yielded 0.4% (HS) and 0.9% (collegiate) invalid baselines, compared with 9.0% (HS) and 5.4% (collegiate) on the desktop version; correcting for L-R confusion (desktop) decreased the prevalence of invalid Impulse Control scores to 5.4% (HS) and 2.6% (collegiate). Male athletes and HS athletes with attention deficit or learning disorders who took the online version were more likely to have at least 1 invalid indicator. Utility of additional invalidity indicators is reported. Conclusions: The online ImPACT version appeared to yield fewer invalid baseline results than did the desktop version. Identification of L-R confusion reduces the prevalence of invalid baselines (desktop only) and the potency of Impulse Control as a validity indicator. We advise test administrators to be vigilant in identifying invalid baseline results as part of routine concussion management and prevention programs. PMID:22892410
Mears, Lisa; Stocks, Stuart M; Albaek, Mads O; Sin, Gürkan; Gernaey, Krist V
2017-03-01
A mechanistic model-based soft sensor is developed and validated for 550L filamentous fungus fermentations operated at Novozymes A/S. The soft sensor is comprised of a parameter estimation block based on a stoichiometric balance, coupled to a dynamic process model. The on-line parameter estimation block models the changing rates of formation of product, biomass, and water, and the rate of consumption of feed using standard, available on-line measurements. This parameter estimation block, is coupled to a mechanistic process model, which solves the current states of biomass, product, substrate, dissolved oxygen and mass, as well as other process parameters including k L a, viscosity and partial pressure of CO 2 . State estimation at this scale requires a robust mass model including evaporation, which is a factor not often considered at smaller scales of operation. The model is developed using a historical data set of 11 batches from the fermentation pilot plant (550L) at Novozymes A/S. The model is then implemented on-line in 550L fermentation processes operated at Novozymes A/S in order to validate the state estimator model on 14 new batches utilizing a new strain. The product concentration in the validation batches was predicted with an average root mean sum of squared error (RMSSE) of 16.6%. In addition, calculation of the Janus coefficient for the validation batches shows a suitably calibrated model. The robustness of the model prediction is assessed with respect to the accuracy of the input data. Parameter estimation uncertainty is also carried out. The application of this on-line state estimator allows for on-line monitoring of pilot scale batches, including real-time estimates of multiple parameters which are not able to be monitored on-line. With successful application of a soft sensor at this scale, this allows for improved process monitoring, as well as opening up further possibilities for on-line control algorithms, utilizing these on-line model outputs. Biotechnol. Bioeng. 2017;114: 589-599. © 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.
Kostova, Zlatina; Nakamoto, Kent; Schulz, Peter Johannes
2015-01-01
Background Rheumatoid arthritis (RA) is chronic systematic disease that affects people during the most productive period of their lives. Web-based health interventions have been effective in many studies; however, there is little evidence and few studies showing the effectiveness of online social support and especially gamification on patients’ behavioral and health outcomes. Objective The aim of this study was to look into the effects of a Web-based intervention that included online social support features and gamification on physical activity, health care utilization, medication overuse, empowerment, and RA knowledge of RA patients. The effect of gamification on website use was also investigated. Methods We conducted a 5-arm parallel randomized controlled trial for RA patients in Ticino (Italian-speaking part of Switzerland). A total of 157 patients were recruited through brochures left with physicians and were randomly allocated to 1 of 4 experimental conditions with different types of access to online social support and gamification features and a control group that had no access to the website. Data were collected at 3 time points through questionnaires at baseline, posttest 2 months later, and at follow-up after another 2 months. Primary outcomes were physical activity, health care utilization, and medication overuse; secondary outcomes included empowerment and RA knowledge. All outcomes were self-reported. Intention-to-treat analysis was followed and multilevel linear mixed models were used to study the change of outcomes over time. Results The best-fit multilevel models (growth curve models) that described the change in the primary outcomes over the course of the intervention included time and empowerment as time-variant predictors. The growth curve analyses of experimental conditions were compared to the control group. Physical activity increased over time for patients having access to social support sections plus gaming (unstandardized beta coefficient [B]=3.39, P=.02). Health care utilization showed a significant decrease for patients accessing social support features (B=–0.41, P=.01) and patients accessing both social support features and gaming (B=–0.33, P=.03). Patients who had access to either social support sections or the gaming experience of the website gained more empowerment (B=2.59, P=.03; B=2.29, P=.05; respectively). Patients who were offered a gamified experience used the website more often than the ones without gaming (t 91=–2.41, P=.02; U=812, P=.02). Conclusions The Web-based intervention had a positive impact (more desirable outcomes) on intervention groups compared to the control group. Social support sections on the website decreased health care utilization and medication overuse and increased empowerment. Gamification alone or with social support increased physical activity and empowerment and decreased health care utilization. This study provides evidence demonstrating the potential positive effect of gamification and online social support on health and behavioral outcomes. Trial Registration International Standard Randomized Controlled Trial Number (ISRCTN): 57366516; http://www.controlled-trials. com/ISRCTN57366516 (Archived by webcite at http://www.webcitation.org/6PBvvAvvV). PMID:25574939
Evaluation of power system security and development of transmission pricing method
NASA Astrophysics Data System (ADS)
Kim, Hyungchul
The electric power utility industry is presently undergoing a change towards the deregulated environment. This has resulted in unbundling of generation, transmission and distribution services. The introduction of competition into unbundled electricity services may lead system operation closer to its security boundaries resulting in smaller operating safety margins. The competitive environment is expected to lead to lower price rates for customers and higher efficiency for power suppliers in the long run. Under this deregulated environment, security assessment and pricing of transmission services have become important issues in power systems. This dissertation provides new methods for power system security assessment and transmission pricing. In power system security assessment, the following issues are discussed (1) The description of probabilistic methods for power system security assessment; (2) The computation time of simulation methods; (3) on-line security assessment for operation. A probabilistic method using Monte-Carlo simulation is proposed for power system security assessment. This method takes into account dynamic and static effects corresponding to contingencies. Two different Kohonen networks, Self-Organizing Maps and Learning Vector Quantization, are employed to speed up the probabilistic method. The combination of Kohonen networks and Monte-Carlo simulation can reduce computation time in comparison with straight Monte-Carlo simulation. A technique for security assessment employing Bayes classifier is also proposed. This method can be useful for system operators to make security decisions during on-line power system operation. This dissertation also suggests an approach for allocating transmission transaction costs based on reliability benefits in transmission services. The proposed method shows the transmission transaction cost of reliability benefits when transmission line capacities are considered. The ratio between allocation by transmission line capacity-use and allocation by reliability benefits is computed using the probability of system failure.
Utilizing social networks, blogging and YouTube in allergy and immunology practices.
Dimov, Ves; Eidelman, Frank
2015-01-01
Online social networks are used to connect with friends and family members, and increasingly, to stay up-to-date with the latest news and developments in allergy and immunology. As communication is a central part of healthcare delivery, the utilization of such networking channels in allergy and immunology will continue to grow. There are inherent risks to online social networks related to breaches of patient confidentiality, professionalism and privacy. Malpractice and liability risks should also be considered. There is a paucity of information in the literature on how social network interventions affect patient outcomes. The allergy and immunology community should direct future studies towards investigating how the use of social networks and other technology tools and services can improve patient care.
Computerized engineering logic for procurement and dedication processes
DOE Office of Scientific and Technical Information (OSTI.GOV)
Tulay, M.P.
1996-12-31
This paper summarizes the work performed for designing the system and especially for calculating on-line expected performance and gives some significant results. In an attempt to better meet the needs of operations and maintenance organizations, many nuclear utility procurement engineering groups have simplified their procedures, developed on-line tools for performing the specification of replacement items, and developed relational databases containing part-level information necessary to automate the procurement process. Although these improvements have helped to reduce the engineering necessary to properly specify and accept/dedicate items for nuclear safety-related applications, a number of utilities have recognized that additional long-term savings can bemore » realized by integrating a computerized logic to assist technical procurement engineering personnel.« less
Sterzing, Paul R; Gartner, Rachel E; McGeough, Briana L
2018-03-01
Sexual and gender minority adolescents represent an understudied and hard-to-reach population who experience higher rates of mental and behavioral health problems in comparison to their cisgender, heterosexual peers. Online surveys and the proliferation of Internet-connected devices among adolescents offer an exciting opportunity for researchers to begin addressing research gaps and past methodological limitations with these hard-to-reach populations. The purpose of this article is to provide guidance to researchers who are designing and implementing anonymous, incentivized, online surveys by examining the following critical domains-(a) recruitment and engagement: means of leveraging social media and videos to recruit and engage a more nationally representative sample; (b) safety and protection: strategies for administering informed consent and protecting participant anonymity and well-being; and (c) data integrity: mechanisms to detect dishonest and repeat responders. To facilitate discussion of these aims, concrete examples are used from SpeakOut-a 3-year, national study funded by the National Institute of Justice that utilized an anonymous, incentivized, online survey with a large sample of sexual and gender minority adolescents ( N = 1,177) to identify the prevalence, incidence, and correlates of polyvictimization. The article concludes with lessons learned from this national study and recommendations for technological innovations and future research that will strengthen the utility of anonymous, incentivized, online surveys to study sexual and gender minority adolescents and other hard-to-reach populations.
Care to Plan: An Online Tool That Offers Tailored Support to Dementia Caregivers.
Gaugler, Joseph E; Reese, Mark; Tanler, Richard
2016-12-01
Even with the advent of evidence-based interventions, an ongoing concern in clinical practice is how to help dementia caregivers determine what type of support is best for them absent a laborious process of trial and error. To help address this practice gap, the present study developed and tested the feasibility of "Care to Plan" (CtP), an online resource for dementia caregivers (e.g., relatives or unpaid nonrelatives) that generates tailored support recommendations. Care to Plan was developed using an iterative prototype and testing process with the assistance of a 29-member Community Advisory Board. A parallel-convergent mixed methods design (quan + QUAL) was used that included a post-CtP survey and a brief semistructured interview to capture in-depth information on the utility and feasibility of CtP. The sample included 30 caregivers of persons with dementia. The integrated qualitative and quantitative data indicated that CtP was simple and easy to understand, the streamlined visual layout facilitated utility, and the individualized recommendations could meet the needs of users. Key barriers to use included the need for additional features (e.g., video introductions of caregiver support types) to further guide dementia caregivers' potential use of tailored support. The multiple data sources underscore the high feasibility and utility of CtP. By describing, identifying, and prioritizing support, CtP could help to improve the care planning process for dementia caregivers. Future dissemination efforts should aim to demonstrate how CtP can be implemented seamlessly within current family caregiver support systems. © The Author 2015. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
Online and unsupervised face recognition for continuous video stream
NASA Astrophysics Data System (ADS)
Huo, Hongwen; Feng, Jufu
2009-10-01
We present a novel online face recognition approach for video stream in this paper. Our method includes two stages: pre-training and online training. In the pre-training phase, our method observes interactions, collects batches of input data, and attempts to estimate their distributions (Box-Cox transformation is adopted here to normalize rough estimates). In the online training phase, our method incrementally improves classifiers' knowledge of the face space and updates it continuously with incremental eigenspace analysis. The performance achieved by our method shows its great potential in video stream processing.
Nicklen, Peter; Rivers, George; Foo, Jonathan; Ooi, Ying Ying; Reeves, Scott; Walsh, Kieran; Ilic, Dragan
2015-01-01
Background Blended learning describes a combination of teaching methods, often utilizing digital technologies. Research suggests that learner outcomes can be improved through some blended learning formats. However, the cost-effectiveness of delivering blended learning is unclear. Objective This study aimed to determine the cost-effectiveness of a face-to-face learning and blended learning approach for evidence-based medicine training within a medical program. Methods The economic evaluation was conducted as part of a randomized controlled trial (RCT) comparing the evidence-based medicine (EBM) competency of medical students who participated in two different modes of education delivery. In the traditional face-to-face method, students received ten 2-hour classes. In the blended learning approach, students received the same total face-to-face hours but with different activities and additional online and mobile learning. Online activities utilized YouTube and a library guide indexing electronic databases, guides, and books. Mobile learning involved self-directed interactions with patients in their regular clinical placements. The attribution and differentiation of costs between the interventions within the RCT was measured in conjunction with measured outcomes of effectiveness. An incremental cost-effectiveness ratio was calculated comparing the ongoing operation costs of each method with the level of EBM proficiency achieved. Present value analysis was used to calculate the break-even point considering the transition cost and the difference in ongoing operation cost. Results The incremental cost-effectiveness ratio indicated that it costs 24% less to educate a student to the same level of EBM competency via the blended learning approach used in the study, when excluding transition costs. The sunk cost of approximately AUD $40,000 to transition to the blended model exceeds any savings from using the approach within the first year of its implementation; however, a break-even point is achieved within its third iteration and relative savings in the subsequent years. The sensitivity analysis indicates that approaches with higher transition costs, or staffing requirements over that of a traditional method, are likely to result in negative value propositions. Conclusions Under the study conditions, a blended learning approach was more cost-effective to operate and resulted in improved value for the institution after the third year iteration, when compared to the traditional face-to-face model. The wider applicability of the findings are dependent on the type of blended learning utilized, staffing expertise, and educational context. PMID:26197801
ERIC Educational Resources Information Center
Harmon, Charles, Ed.
Like its predecessor, this second edition combines the best of two traditional generic texts: "how to write a term paper" and "how to use the library." Particularly helpful for high school and first year college students, this guide explains how to utilize online library catalogs, the most commonly available indexes and databases (in print,…
Marine realms information bank: A distributed geolibrary for the ocean
Marincioni, F.; Lightsom, F.; ,
2002-01-01
The Marine Realms Information Bank (MRIB) is a prototype web-based distributed geolibrary that organizes, indexes, and delivers online information about the oceanic and coastal environments. It implements the distributed geolibrary concept to organize, index, and deliver online information about the oceanic and coastal environments. The significance of MRIB lies both in the utility of the information bank and in the implementation of the distributed geolibraries concept.
ERIC Educational Resources Information Center
Henry, Paul; Semple, Hugh
2012-01-01
GIS has shown promise in Project Based Learning (PBL) environments, but many obstacles exist in its integration into school curriculums. This article discusses the development and utilization of an online GIS tool that was created to illustrate that the perceptual gap between relevance and ease of use of GIS software can be bridged at the K-12…
Nassab, Reza; Navsaria, Harshad; Myers, Simon; Frame, James
2011-07-01
The cosmetic surgery market is a rapidly growing sector of healthcare, and the use of marketing strategies is now an integral part of any cosmetic surgery practice. In this study, the authors review 50 Web sites from practitioners in London and New York to quantify the utilization of online marketing, comparing results between the United Kingdom and the United States.
ERIC Educational Resources Information Center
Hollister, Jonathan M.
2016-01-01
This dissertation explores and describes the in-character and out-of-character information worlds and digital literacy practices of role-players, those that create and enact their characters' or avatars' stories, both within and outside of WildStar, a Massively Multiplayer Online Role-Playing Game (MMORPG) (Carbine Studios, 2015). Utilizing Jaeger…
NASA Astrophysics Data System (ADS)
Qi, Man; Edgar-Nevill, Denis; Wang, Yongquan; Xu, Rongsheng
Traceability is a key to the investigation of the internet criminal and a cornerstone of internet research. It is impossible to prevent all internet misuse but may be possible to identify and trace the users, and then take appropriate action. This paper presents the value of traceability within the email/-newsposting utilities, the technologies being using to hide identities, the difficulties in locating the traceable data and the challenges in tracking online trails.
Boydell, Nicola; Fergie, Gillian; McDaid, Lisa; Hilton, Shona
2017-01-01
The increasing prominence of the Internet in everyday life has prompted methodological innovations in qualitative research, particularly the adaptation of established methods of data collection for use online. The alternative online context brings with it both opportunities and challenges. To date the literature on online focus groups has focused mainly on the suitability of the method for qualitative data collection, and the development of approaches to facilitation that maximise interaction. By reflecting on our experiences of designing and attempting to recruit participants to online focus groups for two exploratory research projects, we aim to contribute some novel reflections around the less articulated issues of sampling and recruitment for online focus groups. In particular, we highlight potentially problematic issues around offline recruitment for an online method of data collection; the potential of using social media for recruitment; and the uncertainties around offering incentives in online recruitment, issues which have received little attention in the growing literature around online focus groups. More broadly, we recommend continued examination of online social practices and the social media environment to develop appropriate and timely online recruitment strategies and suggest further areas for future research and innovation. PMID:28127272
Boydell, Nicola; Fergie, Gillian; McDaid, Lisa; Hilton, Shona
2014-02-01
The increasing prominence of the Internet in everyday life has prompted methodological innovations in qualitative research, particularly the adaptation of established methods of data collection for use online. The alternative online context brings with it both opportunities and challenges. To date the literature on online focus groups has focused mainly on the suitability of the method for qualitative data collection, and the development of approaches to facilitation that maximise interaction. By reflecting on our experiences of designing and attempting to recruit participants to online focus groups for two exploratory research projects, we aim to contribute some novel reflections around the less articulated issues of sampling and recruitment for online focus groups. In particular, we highlight potentially problematic issues around offline recruitment for an online method of data collection; the potential of using social media for recruitment; and the uncertainties around offering incentives in online recruitment, issues which have received little attention in the growing literature around online focus groups. More broadly, we recommend continued examination of online social practices and the social media environment to develop appropriate and timely online recruitment strategies and suggest further areas for future research and innovation.
Yin, Zheng; Zhou, Xiaobo; Bakal, Chris; Li, Fuhai; Sun, Youxian; Perrimon, Norbert; Wong, Stephen TC
2008-01-01
Background The recent emergence of high-throughput automated image acquisition technologies has forever changed how cell biologists collect and analyze data. Historically, the interpretation of cellular phenotypes in different experimental conditions has been dependent upon the expert opinions of well-trained biologists. Such qualitative analysis is particularly effective in detecting subtle, but important, deviations in phenotypes. However, while the rapid and continuing development of automated microscope-based technologies now facilitates the acquisition of trillions of cells in thousands of diverse experimental conditions, such as in the context of RNA interference (RNAi) or small-molecule screens, the massive size of these datasets precludes human analysis. Thus, the development of automated methods which aim to identify novel and biological relevant phenotypes online is one of the major challenges in high-throughput image-based screening. Ideally, phenotype discovery methods should be designed to utilize prior/existing information and tackle three challenging tasks, i.e. restoring pre-defined biological meaningful phenotypes, differentiating novel phenotypes from known ones and clarifying novel phenotypes from each other. Arbitrarily extracted information causes biased analysis, while combining the complete existing datasets with each new image is intractable in high-throughput screens. Results Here we present the design and implementation of a novel and robust online phenotype discovery method with broad applicability that can be used in diverse experimental contexts, especially high-throughput RNAi screens. This method features phenotype modelling and iterative cluster merging using improved gap statistics. A Gaussian Mixture Model (GMM) is employed to estimate the distribution of each existing phenotype, and then used as reference distribution in gap statistics. This method is broadly applicable to a number of different types of image-based datasets derived from a wide spectrum of experimental conditions and is suitable to adaptively process new images which are continuously added to existing datasets. Validations were carried out on different dataset, including published RNAi screening using Drosophila embryos [Additional files 1, 2], dataset for cell cycle phase identification using HeLa cells [Additional files 1, 3, 4] and synthetic dataset using polygons, our methods tackled three aforementioned tasks effectively with an accuracy range of 85%–90%. When our method is implemented in the context of a Drosophila genome-scale RNAi image-based screening of cultured cells aimed to identifying the contribution of individual genes towards the regulation of cell-shape, it efficiently discovers meaningful new phenotypes and provides novel biological insight. We also propose a two-step procedure to modify the novelty detection method based on one-class SVM, so that it can be used to online phenotype discovery. In different conditions, we compared the SVM based method with our method using various datasets and our methods consistently outperformed SVM based method in at least two of three tasks by 2% to 5%. These results demonstrate that our methods can be used to better identify novel phenotypes in image-based datasets from a wide range of conditions and organisms. Conclusion We demonstrate that our method can detect various novel phenotypes effectively in complex datasets. Experiment results also validate that our method performs consistently under different order of image input, variation of starting conditions including the number and composition of existing phenotypes, and dataset from different screens. In our findings, the proposed method is suitable for online phenotype discovery in diverse high-throughput image-based genetic and chemical screens. PMID:18534020
Identifying online user reputation in terms of user preference
NASA Astrophysics Data System (ADS)
Dai, Lu; Guo, Qiang; Liu, Xiao-Lu; Liu, Jian-Guo; Zhang, Yi-Cheng
2018-03-01
Identifying online user reputation is significant for online social systems. In this paper, taking into account the preference physics of online user collective behaviors, we present an improved group-based rating method for ranking online user reputation based on the user preference (PGR). All the ratings given by each specific user are mapped to the same rating criteria. By grouping users according to their mapped ratings, the online user reputation is calculated based on the corresponding group sizes. Results for MovieLens and Netflix data sets show that the AUC values of the PGR method can reach 0.9842 (0.9493) and 0.9995 (0.9987) for malicious (random) spammers, respectively, outperforming the results generated by the traditional group-based method, which indicates that the online preference plays an important role for measuring user reputation.
NASA Astrophysics Data System (ADS)
Yu, Jianbo
2017-01-01
This study proposes an adaptive-learning-based method for machine faulty detection and health degradation monitoring. The kernel of the proposed method is an "evolving" model that uses an unsupervised online learning scheme, in which an adaptive hidden Markov model (AHMM) is used for online learning the dynamic health changes of machines in their full life. A statistical index is developed for recognizing the new health states in the machines. Those new health states are then described online by adding of new hidden states in AHMM. Furthermore, the health degradations in machines are quantified online by an AHMM-based health index (HI) that measures the similarity between two density distributions that describe the historic and current health states, respectively. When necessary, the proposed method characterizes the distinct operating modes of the machine and can learn online both abrupt as well as gradual health changes. Our method overcomes some drawbacks of the HIs (e.g., relatively low comprehensibility and applicability) based on fixed monitoring models constructed in the offline phase. Results from its application in a bearing life test reveal that the proposed method is effective in online detection and adaptive assessment of machine health degradation. This study provides a useful guide for developing a condition-based maintenance (CBM) system that uses an online learning method without considerable human intervention.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Friese, Ryan; Khemka, Bhavesh; Maciejewski, Anthony A
Rising costs of energy consumption and an ongoing effort for increases in computing performance are leading to a significant need for energy-efficient computing. Before systems such as supercomputers, servers, and datacenters can begin operating in an energy-efficient manner, the energy consumption and performance characteristics of the system must be analyzed. In this paper, we provide an analysis framework that will allow a system administrator to investigate the tradeoffs between system energy consumption and utility earned by a system (as a measure of system performance). We model these trade-offs as a bi-objective resource allocation problem. We use a popular multi-objective geneticmore » algorithm to construct Pareto fronts to illustrate how different resource allocations can cause a system to consume significantly different amounts of energy and earn different amounts of utility. We demonstrate our analysis framework using real data collected from online benchmarks, and further provide a method to create larger data sets that exhibit similar heterogeneity characteristics to real data sets. This analysis framework can provide system administrators with insight to make intelligent scheduling decisions based on the energy and utility needs of their systems.« less
ERIC Educational Resources Information Center
Aviles, Maria; Eastman, Jacqueline K.
2012-01-01
Purpose: The purpose of this paper is to discuss how technological tools, such as Web 2.0 and online learning management systems, can be utilized to improve Millennials' educational performance. Design/methodology/approach: An exploratory survey of Millennial business students was conducted to measure their self-reported use and perceived…
Backchannel Discussions during Classroom Observations: Connecting Theory and Practice in Real Time
ERIC Educational Resources Information Center
Howell, Penny B.; Sheffield, Caroline C.; Shelton, Ashley L.; Vujaklija, Amy R.
2017-01-01
This article provides an overview of utilizing an online backchannel platform, TodaysMeet, to enhance middle level preservice teachers' course-embedded classroom observations in early field experiences through the synchronous utilization of 1:1 tablet technology. In reflecting on the use of these applications, it is apparent that it created a safe…
Academic Dishonesty and Video Game Play: Is New Media Use Changing Conceptions of Cheating?
ERIC Educational Resources Information Center
Hamlen, Karla R.
2012-01-01
In this study, an online survey was utilized to investigate relationships among participants' willingness to cheat in academic or business settings and the strategies they tend to utilize in video game play. 113 participants completed the survey, and 86 students (23 middle school, 44 high school, 8 college undergraduate, and 11 graduate) yielded…
Tweeting Your Way to Improved #Writing, #Reflection, and #Community
ERIC Educational Resources Information Center
Kassens, Alice Louise
2014-01-01
Economics appears to be lagging behind other fields in the adoption of Web 2.0 technologies in the classroom. Twitter is an online microblogging utility, permitting posts of up to 140 characters called tweets. The utility is rapidly making its way into secondary and post-secondary classrooms as a complement to traditional instruction and an active…
Applying Case-Based Method in Designing Self-Directed Online Instruction: A Formative Research Study
ERIC Educational Resources Information Center
Luo, Heng; Koszalka, Tiffany A.; Arnone, Marilyn P.; Choi, Ikseon
2018-01-01
This study investigated the case-based method (CBM) instructional-design theory and its application in designing self-directed online instruction. The purpose of this study was to validate and refine the theory for a self-directed online instruction context. Guided by formative research methodology, this study first developed an online tutorial…
Comparison of Four Recruiting Strategies in a Smoking Cessation Trial
Buller, David B.; Meenan, Richard; Severson, Herb; Halperin, Abigail; Edwards, Erika; Magnusson, Brooke
2012-01-01
Objectives To compare 4 on-line and off-line recruiting methods. Methods Young adult smokers (n=3353) were recruited to a trial comparing smoking cessation services with an on-line health risk assessment (HRA), on-line ads, off-line materials, and quit line screening. Results On-line ads (n=1426; $41.35) and off-line materials recruited the most smokers (n=1341; $56.23) for the lowest cost. Quit line screening was more expensive (n=189; $133.61), but enrollees used cessation services the most (34%-82%). On-line HRA was least successful and most costly (n=397; $630.85) but had the highest follow-up (45%-55%). Conclusions On-line ads and off-line materials were most effective and cost-effective methods. PMID:22584086
Internet Use among Ugandan Adolescents: Implications for HIV Intervention
Ybarra, Michele L; Kiwanuka, Julius; Emenyonu, Nneka; Bangsberg, David R
2006-01-01
Background The Internet is fast gaining recognition as a powerful, low-cost method to deliver health intervention and prevention programs to large numbers of young people across diverse geographic regions. The feasibility and accessibility of Internet-based health interventions in resource-limited settings, where cost-effective interventions are most needed, is unknown. To determine the utility of developing technology-based interventions in resource-limited settings, availability and patterns of usage of the Internet first need to be assessed. Methods and Findings The Uganda Media and You Survey was a cross-sectional survey of Internet use among adolescents (ages 12–18 years) in Mbarara, Uganda, a municipality mainly serving a rural population in sub-Saharan Africa. Participants were randomly selected among eligible students attending one of five participating secondary day and boarding schools in Mbarara, Uganda. Of a total of 538 students selected, 93% (500) participated. Of the total respondents, 45% (223) reported ever having used the Internet, 78% (175) of whom reported going online in the previous week. As maternal education increased, so too did the odds of adolescent Internet use. Almost two in five respondents (38% [189]) reported already having used a computer or the Internet to search for health information. Over one-third (35% [173]) had used the computer or Internet to find information about HIV/AIDS, and 20% (102) had looked for sexual health information. Among Internet users, searching for HIV/AIDS information on a computer or online was significantly related to using the Internet weekly, emailing, visiting chat rooms, and playing online games. In contrast, going online at school was inversely related to looking for HIV/AIDS information via technology. If Internet access were free, 66% (330) reported that they would search for information about HIV/AIDS prevention online. Conclusions Both the desire to use, and the actual use of, the Internet to seek sexual health and HIV/AIDS information is high among secondary school students in Mbarara. The Internet may be a promising strategy to deliver low-cost HIV/AIDS risk reduction interventions in resource-limited settings with expanding Internet access. PMID:17090211
Development and analysis of educational technologies for a blended organic chemistry course
NASA Astrophysics Data System (ADS)
Evans, Michael James
Blended courses incorporate elements of both face-to-face and online instruction. The extent to which blended courses are conducted online, and the proper role of the online components of blended courses, have been debated and may vary. What can be said in general, however, is that online tools for blended courses are typically culled together from a variety of sources, are often very large scale, and may present distractions for students that decrease their utility as teaching tools. Furthermore, large-scale educational technologies may not be amenable to rigorous, detailed study, limiting evaluation of their effectiveness. Small-scale educational technologies run from the instructor's own server have the potential to mitigate many of these issues. Such tools give the instructor or researcher direct access to all available data, facilitating detailed analysis of student use. Code modification is simple and rapid if errors arise, since code is stored where the instructor can easily access it. Finally, the design of a small-scale tool can target a very specific application. With these ideas in mind, this work describes several projects aimed at exploring the use of small-scale, web-based software in a blended organic chemistry course. A number of activities were developed and evaluated using the Student Assessment of Learning Gains survey, and data from the activities were analyzed using quantitative methods of statistics and social network analysis methods. Findings from this work suggest that small-scale educational technologies provide significant learning benefits for students of organic chemistry---with the important caveat that instructors must offer appropriate levels of technical and pedagogical support for students. Most notably, students reported significant learning gains from activities that included collaborative learning supported by novel online tools. For the particular context of organic chemistry, which has a unique semantic language (Lewis structures), the incorporation of shared video was a novel but important element of these activities. In fields for which mere text would not provide enough information in communications between students, video offers an appealing medium for student-student interaction.
Back, David A.; Behringer, Florian; Haberstroh, Nicole; Ehlers, Jan P.; Sostmann, Kai
2016-01-01
Objectives To investigate medical students´ utilization of and problems with a learning management system and its e-learning tools as well as their expectations on future developments. Methods A single-center online survey has been carried out to investigate medical students´ (n = 505) usage and perception concerning the learning management system Blackboard, and provided e-learning tools. Data were collected with a standardized questionnaire consisting of 70 items and analyzed by quantitative and qualitative methods. Results The participants valued lecture notes (73.7%) and Wikipedia (74%) as their most important online sources for knowledge acquisition. Missing integration of e-learning into teaching was seen as the major pitfall (58.7%). The learning management system was mostly used for study information (68.3%), preparation of exams (63.3%) and lessons (54.5%). Clarity (98.3%), teaching-related contexts (92.5%) and easy use of e-learning offers (92.5%) were rated highest. Interactivity was most important in free-text comments (n = 123). Conclusions It is desired that contents of a learning management system support an efficient learning. Interactivity of tools and their conceptual integration into face-to-face teaching are important for students. The learning management system was especially important for organizational purposes and the provision of learning materials. Teachers should be aware that free online sources such as Wikipedia enjoy a high approval as source of knowledge acquisition. This study provides an empirical basis for medical schools and teachers to improve their offerings in the field of digital learning for their students. PMID:27544782
Shaikh, Ulfat; Afsar-Manesh, Nasim; Amin, Alpesh N; Clay, Brian; Ranji, Sumant R
2017-10-01
Implementing quality improvement (QI) education during clinical training is challenging due to time constraints and inadequate faculty development in these areas. Quiz-based reinforcement systems show promise in fostering active engagement, collaboration, healthy competition and real-time formative feedback, although further research on their effectiveness is required. An online quiz-based reinforcement system to increase resident and faculty knowledge in QI, patient safety and care transitions. Experts in QI and educational assessment at the 5 University of California medical campuses developed a course comprised of 3 quizzes on Introduction to QI, Patient Safety and Care Transitions. Each quiz contained 20 questions and utilized an online educational quiz-based reinforcement system that leveraged spaced learning. Approximately 500 learners completed the course (completion rate 66-86%). Knowledge acquisition scores for all quizzes increased after completion: Introduction to QI (35-73%), Patient Safety (58-95%), and Care Transitions (66-90%). Learners reported that the quiz-based system was an effective teaching modality and preferred this type of education to classroom-based lectures. Suggestions for improvement included reducing frequency of presentation of questions and utilizing more questions that test learners on application of knowledge instead of knowledge acquisition. A multi-campus online quiz-based reinforcement system to train residents in QI, patient safety and care transitions was feasible, acceptable, and increased knowledge. The course may be best utilized to supplement classroom-based and experiential curricula, along with increased attention to optimizing frequency of presentation of questions and enhancing application skills. © The Author 2017. Published by Oxford University Press in association with the International Society for Quality in Health Care. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com
Reduced kernel recursive least squares algorithm for aero-engine degradation prediction
NASA Astrophysics Data System (ADS)
Zhou, Haowen; Huang, Jinquan; Lu, Feng
2017-10-01
Kernel adaptive filters (KAFs) generate a linear growing radial basis function (RBF) network with the number of training samples, thereby lacking sparseness. To deal with this drawback, traditional sparsification techniques select a subset of original training data based on a certain criterion to train the network and discard the redundant data directly. Although these methods curb the growth of the network effectively, it should be noted that information conveyed by these redundant samples is omitted, which may lead to accuracy degradation. In this paper, we present a novel online sparsification method which requires much less training time without sacrificing the accuracy performance. Specifically, a reduced kernel recursive least squares (RKRLS) algorithm is developed based on the reduced technique and the linear independency. Unlike conventional methods, our novel methodology employs these redundant data to update the coefficients of the existing network. Due to the effective utilization of the redundant data, the novel algorithm achieves a better accuracy performance, although the network size is significantly reduced. Experiments on time series prediction and online regression demonstrate that RKRLS algorithm requires much less computational consumption and maintains the satisfactory accuracy performance. Finally, we propose an enhanced multi-sensor prognostic model based on RKRLS and Hidden Markov Model (HMM) for remaining useful life (RUL) estimation. A case study in a turbofan degradation dataset is performed to evaluate the performance of the novel prognostic approach.