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Sample records for learning identify essential

  1. Identifying essential genes in bacterial metabolic networks with machine learning methods

    Science.gov (United States)

    2010-01-01

    Background Identifying essential genes in bacteria supports to identify potential drug targets and an understanding of minimal requirements for a synthetic cell. However, experimentally assaying the essentiality of their coding genes is resource intensive and not feasible for all bacterial organisms, in particular if they are infective. Results We developed a machine learning technique to identify essential genes using the experimental data of genome-wide knock-out screens from one bacterial organism to infer essential genes of another related bacterial organism. We used a broad variety of topological features, sequence characteristics and co-expression properties potentially associated with essentiality, such as flux deviations, centrality, codon frequencies of the sequences, co-regulation and phyletic retention. An organism-wise cross-validation on bacterial species yielded reliable results with good accuracies (area under the receiver-operator-curve of 75% - 81%). Finally, it was applied to drug target predictions for Salmonella typhimurium. We compared our predictions to the viability of experimental knock-outs of S. typhimurium and identified 35 enzymes, which are highly relevant to be considered as potential drug targets. Specifically, we detected promising drug targets in the non-mevalonate pathway. Conclusions Using elaborated features characterizing network topology, sequence information and microarray data enables to predict essential genes from a bacterial reference organism to a related query organism without any knowledge about the essentiality of genes of the query organism. In general, such a method is beneficial for inferring drug targets when experimental data about genome-wide knockout screens is not available for the investigated organism. PMID:20438628

  2. Four Essential Dimensions of Workplace Learning

    Science.gov (United States)

    Hopwood, Nick

    2014-01-01

    Purpose: This conceptual paper aims to argue that times, spaces, bodies and things constitute four essential dimensions of workplace learning. It examines how practices relate or hang together, taking Gherardi's texture of practices or connectedness in action as the foundation for making visible essential but often overlooked dimensions of…

  3. Predicting Essential Genes and Proteins Based on Machine Learning and Network Topological Features: A Comprehensive Review

    Science.gov (United States)

    Zhang, Xue; Acencio, Marcio Luis; Lemke, Ney

    2016-01-01

    Essential proteins/genes are indispensable to the survival or reproduction of an organism, and the deletion of such essential proteins will result in lethality or infertility. The identification of essential genes is very important not only for understanding the minimal requirements for survival of an organism, but also for finding human disease genes and new drug targets. Experimental methods for identifying essential genes are costly, time-consuming, and laborious. With the accumulation of sequenced genomes data and high-throughput experimental data, many computational methods for identifying essential proteins are proposed, which are useful complements to experimental methods. In this review, we show the state-of-the-art methods for identifying essential genes and proteins based on machine learning and network topological features, point out the progress and limitations of current methods, and discuss the challenges and directions for further research. PMID:27014079

  4. Focusing on the essentials: learning for performance.

    Science.gov (United States)

    Murphy, Catherine J

    2008-12-10

    As The World health report 2006 emphasized, there is increasing consensus that training programmes should focus on "know-how" instead of "know-all." Health workers need to know how to do the job they will be expected to do. IntraHealth International's Learning for performance: a guide and toolkit for health worker training and education programs offers a step-by-step, customizable approach designed to develop the right skills linked to job responsibilities. Using Learning for performance (LFP) yields more efficient training that focuses on what is essential for health workers to do their jobs and on effective learning methods, while addressing the factors that ensure application of new skills on the job. This brief communication describes the Learning for performance approach and initial findings from its application for pre-service education and in-service training in three countries: India, Mali and Bangladesh. Based on IntraHealth's experiences, the author provides thoughts on how LFP's performance-based learning approach can be a useful tool in training scale-up to strengthen human resources for health.

  5. Focusing on the essentials: learning for performance

    Directory of Open Access Journals (Sweden)

    Murphy Catherine J

    2008-12-01

    Full Text Available Abstract As The World health report 2006 emphasized, there is increasing consensus that training programmes should focus on "know-how" instead of "know-all." Health workers need to know how to do the job they will be expected to do. IntraHealth International's Learning for performance: a guide and toolkit for health worker training and education programs offers a step-by-step, customizable approach designed to develop the right skills linked to job responsibilities. Using Learning for performance (LFP yields more efficient training that focuses on what is essential for health workers to do their jobs and on effective learning methods, while addressing the factors that ensure application of new skills on the job. This brief communication describes the Learning for performance approach and initial findings from its application for pre-service education and in-service training in three countries: India, Mali and Bangladesh. Based on IntraHealth's experiences, the author provides thoughts on how LFP's performance-based learning approach can be a useful tool in training scale-up to strengthen human resources for health.

  6. Understanding the essential elements of work-based learning and its relevance to everyday clinical practice.

    Science.gov (United States)

    Williams, Caroline

    2010-09-01

    To critically review the work-based learning literature and explore the implications of the findings for the development of work-based learning programmes. With NHS budgets under increasing pressure, and challenges to the impact of classroom-based learning on patient outcomes, work-based learning is likely to come under increased scrutiny as a potential solution. Evidence from higher education institutions suggests that work-based learning can improve practice, but in many cases it is perceived as little more than on-the-job training to perform tasks. The CINAHL database was searched using the keywords work-based learning, work-place learning and practice-based learning. Those articles that had a focus on post-registration nursing were selected and critically reviewed. Using the review of the literature, three key issues were explored. Work-based learning has the potential to change practice. Learning how to learn and critical reflection are key features. For effective work-based learning nurses need to take control of their own learning, receive support to critically reflect on their practice and be empowered to make changes to that practice. A critical review of the literature has identified essential considerations for the implementation of work-based learning. A change in culture from classroom to work-based learning requires careful planning and consideration of learning cultures. To enable effective work-based learning, nurse managers need to develop a learning culture in their workplace. They should ensure that skilled facilitation is provided to support staff with critical reflection and effecting changes in practice. CONTRIBUTION TO NEW KNOWLEDGE: This paper has identified three key issues that need to be considered in the development of work-based learning programmes. © 2010 The Authors. Journal compilation © 2010 Blackwell Publishing Ltd.

  7. Affective Learning and Personal Information Management: Essential Components of Information Literacy

    Science.gov (United States)

    Cahoy, Ellysa Stern

    2013-01-01

    "Affective competence," managing the feelings and emotions that students encounter throughout the content creation/research process, is essential to academic success. Just as it is crucial for students to acquire core literacies, it is essential that they learn how to manage the anxieties and emotions that will emerge throughout all…

  8. Identifying the Essential Elements of Effective Science Communication: What Do the Experts Say?

    Science.gov (United States)

    Bray, Belinda; France, Bev; Gilbert, John K.

    2012-01-01

    Experts in science communication were asked to identify the essential elements of a science communication course for post-graduate students. A Delphi methodology provided a framework for a research design that accessed their opinions and allowed them to contribute to, reflect on and identify 10 essential elements. There was a high level of…

  9. Linux Essentials

    CERN Document Server

    Smith, Roderick W

    2012-01-01

    A unique, full-color introduction to Linux fundamentals Serving as a low-cost, secure alternative to expensive operating systems, Linux is a UNIX-based, open source operating system. Full-color and concise, this beginner's guide takes a learning-by-doing approach to understanding the essentials of Linux. Each chapter begins by clearly identifying what you will learn in the chapter, followed by a straightforward discussion of concepts that leads you right into hands-on tutorials. Chapters conclude with additional exercises and review questions, allowing you to reinforce and measure your underst

  10. Diversity Within Unity: Essential Principles for Teaching and Learning in a Multicultural Society.

    Science.gov (United States)

    Banks, James A.; Cookson, Peter; Gay, Geneva; Hawley, Willis D.; Irvine, Jacqueline Jordan; Nieto, Sonia; Schofield, Janet Ward; Stephen, Walter G.

    2001-01-01

    Discusses 12 essential principles to help schools teach democratic values in a multicultural society. Derived from findings of the Multicultural Education Consensus Panel to review and synthesize research on diversity, principles are organized into five categories: Teacher learning; student learning; intergroup relations; school governance,…

  11. Student Motivation from and Resistance to Active Learning Rooted in Essential Science Practices

    Science.gov (United States)

    Owens, David C.; Sadler, Troy D.; Barlow, Angela T.; Smith-Walters, Cindi

    2017-12-01

    Several studies have found active learning to enhance students' motivation and attitudes. Yet, faculty indicate that students resist active learning and censure them on evaluations after incorporating active learning into their instruction, resulting in an apparent paradox. We argue that the disparity in findings across previous studies is the result of variation in the active learning instruction that was implemented. The purpose of this study was to illuminate sources of motivation from and resistance to active learning that resulted from a novel, exemplary active-learning approach rooted in essential science practices and supported by science education literature. This approach was enacted over the course of 4 weeks in eight sections of an introductory undergraduate biology laboratory course. A plant concept inventory, administered to students as a pre-, post-, and delayed-posttest indicated significant proximal and distal learning gains. Qualitative analysis of open-response questionnaires and interviews elucidated sources of motivation and resistance that resulted from this active-learning approach. Several participants indicated this approach enhanced interest, creativity, and motivation to prepare, and resulted in a challenging learning environment that facilitated the sharing of diverse perspectives and the development of a community of learners. Sources of resistance to active learning included participants' unfamiliarity with essential science practices, having to struggle with uncertainty in the absence of authoritative information, and the extra effort required to actively construct knowledge as compared to learning via traditional, teacher-centered instruction. Implications for implementation, including tips for reducing student resistance to active learning, are discussed.

  12. Feedback: an essential element of student learning in clinical practice.

    Science.gov (United States)

    Clynes, Mary P; Raftery, Sara E C

    2008-11-01

    Clinical practice is an essential component of the nursing curriculum. In order for the student to benefit fully from the experience regular performance feedback is required. Feedback should provide the student with information on current practice and offer practical advice for improved performance. The importance of feedback is widely acknowledged however it appears that there is inconsistency in its provision to students. The benefits of feedback include increased student confidence, motivation and self-esteem as well as improved clinical practice. Benefits such as enhanced interpersonal skills and a sense of personal satisfaction also accrue to the supervisor. Barriers to the feedback process are identified as inadequate supervisor training and education, unfavourable ward learning environment and insufficient time spent with students. In addition to the appropriate preparation of the supervisor effective feedback includes an appreciation of the steps of the feedback process, an understanding of the student response to feedback and effective communication skills.

  13. Learning Neuroimaging. 100 essential cases

    International Nuclear Information System (INIS)

    Asis Bravo-Rodriguez, Francisco de; Diaz-Aguilera, Rocio; Hygino da Cruz, Luiz Celso

    2012-01-01

    Neuroradiology is the branch of radiology that comprises both imaging and invasive procedures related to the brain, spine and spinal cord, head, neck, organs of special sense (eyes, ears, nose), cranial and spinal nerves, and cranial, cervical, and spinal vessels. Special training and skills are required to enable the neuroradiologist to function as an expert diagnostic and therapeutic consultant and practitioner. In addition to knowledge of imaging findings, the neuroradiologist is required to learn the fundamentals of structural and functional neuroanatomy, neuropathology, and neuropathophysiology as well as the clinical manifestations of diseases of the brain, spine and spinal cord, head, neck, and organs of special sense. This book is intended as an introduction to neuroradiology and aims to provide the reader with a comprehensive overview of this highly specialized radiological subspecialty. One hundred illustrated cases from clinical practice are presented in a standard way. Each case is supported by representative images and is divided into three parts: a brief summary of the patient's medical history, a discussion of the disease, and a description of the most characteristic imaging features of the disorder. The focus is not only on common neuroradiological entities such as stroke and acute head trauma but also on less frequent disorders that the practitioner should recognize. Learning Neuroimaging: 100 Essential Cases is an ideal resource for neuroradiology and radiology residents, neurology residents, neurosurgery residents, nurses, radiology technicians, and medical students. (orig.)

  14. Learning Neuroimaging. 100 essential cases

    Energy Technology Data Exchange (ETDEWEB)

    Asis Bravo-Rodriguez, Francisco de [Reina Sofia University Hospital, Cordoba (Spain). Diagnostic and Therapeutics Neuroradiology; Diaz-Aguilera, Rocio [Alto Guadalquivir Hospital, Andujar, Jaen (Spain). Dept. of Radiology; Hygino da Cruz, Luiz Celso [Universidade Federal do Rio de Janeiro (Brazil). CDPI and IRM Ressonancia Magnetica

    2012-07-01

    Neuroradiology is the branch of radiology that comprises both imaging and invasive procedures related to the brain, spine and spinal cord, head, neck, organs of special sense (eyes, ears, nose), cranial and spinal nerves, and cranial, cervical, and spinal vessels. Special training and skills are required to enable the neuroradiologist to function as an expert diagnostic and therapeutic consultant and practitioner. In addition to knowledge of imaging findings, the neuroradiologist is required to learn the fundamentals of structural and functional neuroanatomy, neuropathology, and neuropathophysiology as well as the clinical manifestations of diseases of the brain, spine and spinal cord, head, neck, and organs of special sense. This book is intended as an introduction to neuroradiology and aims to provide the reader with a comprehensive overview of this highly specialized radiological subspecialty. One hundred illustrated cases from clinical practice are presented in a standard way. Each case is supported by representative images and is divided into three parts: a brief summary of the patient's medical history, a discussion of the disease, and a description of the most characteristic imaging features of the disorder. The focus is not only on common neuroradiological entities such as stroke and acute head trauma but also on less frequent disorders that the practitioner should recognize. Learning Neuroimaging: 100 Essential Cases is an ideal resource for neuroradiology and radiology residents, neurology residents, neurosurgery residents, nurses, radiology technicians, and medical students. (orig.)

  15. Teaching/learning strategies for the essentials of baccalaureate nursing education for entry-level community/public health nursing.

    Science.gov (United States)

    Callen, Bonnie; Smith, Claudia M; Joyce, Barbara; Lutz, Jayne; Brown-Schott, Nancy; Block, Derryl

    2013-01-01

    The purpose of this article is to describe teaching/learning strategies for each of the 15 Essentials of Baccalaureate Nursing Education for Entry-Level Community/Public Health Nursing (ACHNE, 2009). Carper's ways of knowing serve as foundations for creating classroom and clinical experiences that focus on clinical action with community as client. Each community/public health essential is defined with relevance to community/public health nursing practice. Five teaching/learning strategies have been delineated for each essential with suggestions of teaching resources and/or target population application. Teaching/learning strategies that focus on community as client, population health, and the essential knowledge and competencies of C/PH nursing will help ensure preparation of baccalaureate prepared nurses with knowledge and skills to improve the health of populations. © 2013 Wiley Periodicals, Inc.

  16. Exploring the relationship between fractal features and bacterial essential genes

    International Nuclear Information System (INIS)

    Yu Yong-Ming; Yang Li-Cai; Zhao Lu-Lu; Liu Zhi-Ping; Zhou Qian

    2016-01-01

    Essential genes are indispensable for the survival of an organism in optimal conditions. Rapid and accurate identifications of new essential genes are of great theoretical and practical significance. Exploring features with predictive power is fundamental for this. Here, we calculate six fractal features from primary gene and protein sequences and then explore their relationship with gene essentiality by statistical analysis and machine learning-based methods. The models are applied to all the currently available identified genes in 27 bacteria from the database of essential genes (DEG). It is found that the fractal features of essential genes generally differ from those of non-essential genes. The fractal features are used to ascertain the parameters of two machine learning classifiers: Naïve Bayes and Random Forest. The area under the curve (AUC) of both classifiers show that each fractal feature is satisfactorily discriminative between essential genes and non-essential genes individually. And, although significant correlations exist among fractal features, gene essentiality can also be reliably predicted by various combinations of them. Thus, the fractal features analyzed in our study can be used not only to construct a good essentiality classifier alone, but also to be significant contributors for computational tools identifying essential genes. (paper)

  17. Learning environments matter: Identifying influences on the motivation to learn science

    Directory of Open Access Journals (Sweden)

    Salomé Schulze

    2015-05-01

    Full Text Available In the light of the poor academic achievement in science by secondary school students in South Africa, students' motivation for science learning should be enhanced. It is argued that this can only be achieved with insight into which motivational factors to target, with due consideration of the diversity in schools. The study therefore explored the impact of six motivational factors for science learning in a sample of 380 Grade Nine boys and girls from three racial groups, in both public and independent schools. The students completed the Student Motivation for Science Learning questionnaire. Significant differences were identified between different groups and school types. The study is important for identifying the key role of achievement goals, science learning values and science self-efficacies. The main finding emphasises the significant role played by science teachers in motivating students for science in terms of the learning environments that they create. This has important implications for future research, aimed at a better understanding of these environments. Such insights are needed to promote scientific literacy among the school students, and so contribute to the improvement of science achievement in South Africa.

  18. Innovation in pediatric clinical education: application of the essential competencies.

    Science.gov (United States)

    Kenyon, Lisa K; Birkmeier, Marisa; Anderson, Deborah K; Martin, Kathy

    2015-01-01

    At the Section on Pediatrics Education Summit in July 2012, consensus was achieved on 5 essential core competencies (ECCs) that represent a knowledge base essential to all graduates of professional physical therapist education programs. This article offers suggestions for how clinical instructors (CIs) might use the ECCs to identify student needs and guide student learning during a pediatric clinical education experience. Pediatric CIs potentially might choose to use the ECCs as a reference tool in clinical education to help (1) organize and develop general, clinic-specific clinical education objectives, (2) develop and plan individualized student learning experiences, (3) identify student needs, and (4) show progression of student learning from beginner to intermediate to entry level. The ECCs may offer CIs insights into the role of pediatric clinical education in professional physical therapist education.

  19. On the Use of Machine Learning for Identifying Botnet Network Traffic

    DEFF Research Database (Denmark)

    Stevanovic, Matija; Pedersen, Jens Myrup

    2016-01-01

    contemporary approaches use machine learning techniques for identifying malicious traffic. This paper presents a survey of contemporary botnet detection methods that rely on machine learning for identifying botnet network traffic. The paper provides a comprehensive overview on the existing scientific work thus...... contributing to the better understanding of capabilities, limitations and opportunities of using machine learning for identifying botnet traffic. Furthermore, the paper outlines possibilities for the future development of machine learning-based botnet detection systems....

  20. The systematic functional analysis of plasmodium protein kinases identifies essential regulators of mosquito transmission

    KAUST Repository

    Tewari, Rita; Straschil, Ursula; Bateman, Alex; Bö hme, Ulrike; Cherevach, Inna; Gong, Peng; Pain, Arnab; Billker, Oliver

    2010-01-01

    Although eukaryotic protein kinases (ePKs) contribute to many cellular processes, only three Plasmodium falciparum ePKs have thus far been identified as essential for parasite asexual blood stage development. To identify pathways essential for parasite transmission between their mammalian host and mosquito vector, we undertook a systematic functional analysis of ePKs in the genetically tractable rodent parasite Plasmodium berghei. Modeling domain signatures of conventional ePKs identified 66 putative Plasmodium ePKs. Kinomes are highly conserved between Plasmodium species. Using reverse genetics, we show that 23 ePKs are redundant for asexual erythrocytic parasite development in mice. Phenotyping mutants at four life cycle stages in Anopheles stephensi mosquitoes revealed functional clusters of kinases required for sexual development and sporogony. Roles for a putative SR protein kinase (SRPK) in microgamete formation, a conserved regulator of clathrin uncoating (GAK) in ookinete formation, and a likely regulator of energy metabolism (SNF1/KIN) in sporozoite development were identified. 2010 Elsevier Inc.

  1. The systematic functional analysis of plasmodium protein kinases identifies essential regulators of mosquito transmission

    KAUST Repository

    Tewari, Rita

    2010-10-21

    Although eukaryotic protein kinases (ePKs) contribute to many cellular processes, only three Plasmodium falciparum ePKs have thus far been identified as essential for parasite asexual blood stage development. To identify pathways essential for parasite transmission between their mammalian host and mosquito vector, we undertook a systematic functional analysis of ePKs in the genetically tractable rodent parasite Plasmodium berghei. Modeling domain signatures of conventional ePKs identified 66 putative Plasmodium ePKs. Kinomes are highly conserved between Plasmodium species. Using reverse genetics, we show that 23 ePKs are redundant for asexual erythrocytic parasite development in mice. Phenotyping mutants at four life cycle stages in Anopheles stephensi mosquitoes revealed functional clusters of kinases required for sexual development and sporogony. Roles for a putative SR protein kinase (SRPK) in microgamete formation, a conserved regulator of clathrin uncoating (GAK) in ookinete formation, and a likely regulator of energy metabolism (SNF1/KIN) in sporozoite development were identified. 2010 Elsevier Inc.

  2. Candidate Essential Genes in Burkholderia cenocepacia J2315 Identified by Genome-Wide TraDIS

    KAUST Repository

    Wong, Yee-Chin

    2016-08-22

    Burkholderia cenocepacia infection often leads to fatal cepacia syndrome in cystic fibrosis patients. However, antibiotic therapy rarely results in complete eradication of the pathogen due to its intrinsic resistance to many clinically available antibiotics. Recent attention has turned to the identification of essential genes as the proteins encoded by these genes may serve as potential targets for development of novel antimicrobials. In this study, we utilized TraDIS (Transposon Directed Insertion-site Sequencing) as a genome-wide screening tool to facilitate the identification of B. cenocepacia genes essential for its growth and viability. A transposon mutant pool consisting of approximately 500,000 mutants was successfully constructed, with more than 400,000 unique transposon insertion sites identified by computational analysis of TraDIS datasets. The saturated library allowed for the identification of 383 genes that were predicted to be essential in B. cenocepacia. We extended the application of TraDIS to identify conditionally essential genes required for in vitro growth and revealed an additional repertoire of 439 genes to be crucial for B. cenocepacia growth under nutrient-depleted conditions. The library of B. cenocepacia mutants can subsequently be subjected to various biologically related conditions to facilitate the discovery of genes involved in niche adaptation as well as pathogenicity and virulence.

  3. Candidate Essential Genes in Burkholderia cenocepacia J2315 Identified by Genome-Wide TraDIS

    KAUST Repository

    Wong, Yee-Chin; Abd El Ghany, Moataz; Naeem, Raeece; Lee, Kok-Wei; Tan, Yung-Chie; Pain, Arnab; Nathan, Sheila

    2016-01-01

    Burkholderia cenocepacia infection often leads to fatal cepacia syndrome in cystic fibrosis patients. However, antibiotic therapy rarely results in complete eradication of the pathogen due to its intrinsic resistance to many clinically available antibiotics. Recent attention has turned to the identification of essential genes as the proteins encoded by these genes may serve as potential targets for development of novel antimicrobials. In this study, we utilized TraDIS (Transposon Directed Insertion-site Sequencing) as a genome-wide screening tool to facilitate the identification of B. cenocepacia genes essential for its growth and viability. A transposon mutant pool consisting of approximately 500,000 mutants was successfully constructed, with more than 400,000 unique transposon insertion sites identified by computational analysis of TraDIS datasets. The saturated library allowed for the identification of 383 genes that were predicted to be essential in B. cenocepacia. We extended the application of TraDIS to identify conditionally essential genes required for in vitro growth and revealed an additional repertoire of 439 genes to be crucial for B. cenocepacia growth under nutrient-depleted conditions. The library of B. cenocepacia mutants can subsequently be subjected to various biologically related conditions to facilitate the discovery of genes involved in niche adaptation as well as pathogenicity and virulence.

  4. Candidate essential genes in Burkholderia cenocepacia J2315 identified by genome-wide TraDIS

    Directory of Open Access Journals (Sweden)

    Yee-Chin Wong

    2016-08-01

    Full Text Available Burkholderia cenocepacia infection often leads to fatal cepacia syndrome in cystic fibrosis patients. However, antibiotic therapy rarely results in complete eradication of the pathogen due to its intrinsic resistance to many clinically available antibiotics. Recent attention has turned to the identification of essential genes as the proteins encoded by these genes may serve as potential targets for development of novel antimicrobials. In this study, we utilized TraDIS (Transposon Directed Insertion-site Sequencing as a genome-wide screening tool to facilitate the identification of B. cenocepacia genes essential for its growth and viability. A transposon mutant pool consisting of approximately 500,000 mutants was successfully constructed, with more than 400,000 unique transposon insertion sites identified by computational analysis of TraDIS datasets. The saturated library allowed for the identification of 383 genes that were predicted to be essential in B. cenocepacia. We extended the application of TraDIS to identify conditionally essential genes required for in vitro growth and revealed an additional repertoire of 439 genes to be crucial for B. cenocepacia growth under nutrient-depleted conditions. The library of B. cenocepacia mutants can subsequently be subjected to various biologically related conditions to facilitate the discovery of genes involved in niche adaptation as well as pathogenicity and virulence.

  5. An Approach for Predicting Essential Genes Using Multiple Homology Mapping and Machine Learning Algorithms.

    Science.gov (United States)

    Hua, Hong-Li; Zhang, Fa-Zhan; Labena, Abraham Alemayehu; Dong, Chuan; Jin, Yan-Ting; Guo, Feng-Biao

    Investigation of essential genes is significant to comprehend the minimal gene sets of cell and discover potential drug targets. In this study, a novel approach based on multiple homology mapping and machine learning method was introduced to predict essential genes. We focused on 25 bacteria which have characterized essential genes. The predictions yielded the highest area under receiver operating characteristic (ROC) curve (AUC) of 0.9716 through tenfold cross-validation test. Proper features were utilized to construct models to make predictions in distantly related bacteria. The accuracy of predictions was evaluated via the consistency of predictions and known essential genes of target species. The highest AUC of 0.9552 and average AUC of 0.8314 were achieved when making predictions across organisms. An independent dataset from Synechococcus elongatus , which was released recently, was obtained for further assessment of the performance of our model. The AUC score of predictions is 0.7855, which is higher than other methods. This research presents that features obtained by homology mapping uniquely can achieve quite great or even better results than those integrated features. Meanwhile, the work indicates that machine learning-based method can assign more efficient weight coefficients than using empirical formula based on biological knowledge.

  6. Identifying Students learning Styles as a Way to Promote Learning Quality

    Directory of Open Access Journals (Sweden)

    Jafar Sadegh Tabrizi

    2013-05-01

    Full Text Available Introduction: The major part of peoples knowledge, skills and abilities are achieved during the complex process called learning. Learning is not simply the product of mere intelligence and capabilities of individual; it also depends on other factors such as personality traits, personal interests, and t ype of duty and di fferent methods and st yles. The understanding of each individual fits with his/her learning style. The aim of this study was to determine the learning st yles of Health Care Management students in Tabriz University of Medical Sciences. Methods: Learning styles of 55 Health Services Management students in Tabriz Health and Nutrition Faculty were evaluated in 2009 using a twelve-question Kolb questionnaire in a descriptive study. The data was anal yzed using SPSS. And the frequency of students learning styles was identified by their ages and averages. Results: In this study, 69% of the students were female and the dominant learning method was Assimilator (42%. Other styles with a regard to their frequency were Diverge (24%, Coverage (22%and Accommodator (12%. In the present study,no statistically significant relationship was found in learning styles between the gender (p= 0.644and average (p = 0.676of the students. Conclusion: Assimilator and Diverge methods were the most common ones among the management students. Hence, to improve the quality of learning in this group of students, it is proposed that the teachers use interactive and creative teaching methods such as small and la rge group discussion,brain storming, problem solving, debate-based learning, self-learning and lecturing.

  7. 30 CFR 285.803 - How must I conduct my approved activities to protect essential fish habitats identified and...

    Science.gov (United States)

    2010-07-01

    ... protect essential fish habitats identified and described under the Magnuson-Stevens Fishery Conservation... Act? (a) If, during the conduct of your approved activities, MMS finds that essential fish habitat or... adverse affects on Essential Fish Habitat will be incorporated as terms and conditions in the lease and...

  8. Learning to cooperate is essential for progress in physics

    Science.gov (United States)

    Dickau, Jonathan J.

    2012-06-01

    At the 10th Frontiers of Fundamental Physics symposium, Gerard't Hooft stated that, for some of the advances we hope to see in Physics during the future, there must be a great deal of cooperation between physicists from different disciplines, as well as mathematicians, programmers, technologists, and others. This requires us to evolve a new mindset; however, as so much of our past progress has come out of a fiercely competitive process - especially since a critical review of our ideas about reality remains essential to making clear progress and checking our progress. We must also address the fact that some frameworks appear incompatible, as with relativity and quantum mechanics, whose unification remains distant despite years of attempts to find a quantum gravity theory. I explore the idea that playful exploration, using both left-brained and right-brained approaches to learning, allows us to resolve conflicting ideas by taking advantage of innate human developmental and learning strategies and brain structure. It may thus foster the kind of interdisciplinary cooperation we are hoping to see.

  9. Machine learning for identifying botnet network traffic

    DEFF Research Database (Denmark)

    Stevanovic, Matija; Pedersen, Jens Myrup

    2013-01-01

    . Due to promise of non-invasive and resilient detection, botnet detection based on network traffic analysis has drawn a special attention of the research community. Furthermore, many authors have turned their attention to the use of machine learning algorithms as the mean of inferring botnet......-related knowledge from the monitored traffic. This paper presents a review of contemporary botnet detection methods that use machine learning as a tool of identifying botnet-related traffic. The main goal of the paper is to provide a comprehensive overview on the field by summarizing current scientific efforts....... The contribution of the paper is three-fold. First, the paper provides a detailed insight on the existing detection methods by investigating which bot-related heuristic were assumed by the detection systems and how different machine learning techniques were adapted in order to capture botnet-related knowledge...

  10. Learning Bayesian network structure: towards the essential graph by integer linear programming tools

    Czech Academy of Sciences Publication Activity Database

    Studený, Milan; Haws, D.

    2014-01-01

    Roč. 55, č. 4 (2014), s. 1043-1071 ISSN 0888-613X R&D Projects: GA ČR GA13-20012S Institutional support: RVO:67985556 Keywords : learning Bayesian network structure * integer linear programming * characteristic imset * essential graph Subject RIV: BA - General Mathematics Impact factor: 2.451, year: 2014 http://library.utia.cas.cz/separaty/2014/MTR/studeny-0427002.pdf

  11. Identifying the essential components of cultural competence in a Chinese nursing context: A qualitative study.

    Science.gov (United States)

    Cai, Duanying; Kunaviktikul, Wipada; Klunklin, Areewan; Sripusanapan, Acharaporn; Avant, Patricia Kay

    2017-06-01

    This qualitative study using semi-structured interviews was conducted to identify the essential components of cultural competence from the perspective of Chinese nurses. A purposive sample of 20 nurse experts, including senior clinical nurses, nurse administrators, and educators in transcultural nursing, was recruited. Using thematic analysis, four themes: awareness, attitudes, knowledge, and skills, with two subthemes for each, were identified. Notably, culture in China was understood in a broad way. The participants' responses focused upon demographic attributes, individuality, and efforts to facilitate quality care rather than on the cultural differences of ethnicity and race and developing the capacity to change discrimination or health disparities. A greater understanding of cultural competence in the Chinese nursing context, in which a dominant cultural group exists, is essential to facilitate the provision of culturally competent care to diverse populations. © 2016 John Wiley & Sons Australia, Ltd.

  12. Identifying essential proteins based on sub-network partition and prioritization by integrating subcellular localization information.

    Science.gov (United States)

    Li, Min; Li, Wenkai; Wu, Fang-Xiang; Pan, Yi; Wang, Jianxin

    2018-06-14

    Essential proteins are important participants in various life activities and play a vital role in the survival and reproduction of living organisms. Identification of essential proteins from protein-protein interaction (PPI) networks has great significance to facilitate the study of human complex diseases, the design of drugs and the development of bioinformatics and computational science. Studies have shown that highly connected proteins in a PPI network tend to be essential. A series of computational methods have been proposed to identify essential proteins by analyzing topological structures of PPI networks. However, the high noise in the PPI data can degrade the accuracy of essential protein prediction. Moreover, proteins must be located in the appropriate subcellular localization to perform their functions, and only when the proteins are located in the same subcellular localization, it is possible that they can interact with each other. In this paper, we propose a new network-based essential protein discovery method based on sub-network partition and prioritization by integrating subcellular localization information, named SPP. The proposed method SPP was tested on two different yeast PPI networks obtained from DIP database and BioGRID database. The experimental results show that SPP can effectively reduce the effect of false positives in PPI networks and predict essential proteins more accurately compared with other existing computational methods DC, BC, CC, SC, EC, IC, NC. Copyright © 2018 Elsevier Ltd. All rights reserved.

  13. An Automated Self-Learning Quantification System to Identify Visible Areas in Capsule Endoscopy Images.

    Science.gov (United States)

    Hashimoto, Shinichi; Ogihara, Hiroyuki; Suenaga, Masato; Fujita, Yusuke; Terai, Shuji; Hamamoto, Yoshihiko; Sakaida, Isao

    2017-08-01

    Visibility in capsule endoscopic images is presently evaluated through intermittent analysis of frames selected by a physician. It is thus subjective and not quantitative. A method to automatically quantify the visibility on capsule endoscopic images has not been reported. Generally, when designing automated image recognition programs, physicians must provide a training image; this process is called supervised learning. We aimed to develop a novel automated self-learning quantification system to identify visible areas on capsule endoscopic images. The technique was developed using 200 capsule endoscopic images retrospectively selected from each of three patients. The rate of detection of visible areas on capsule endoscopic images between a supervised learning program, using training images labeled by a physician, and our novel automated self-learning program, using unlabeled training images without intervention by a physician, was compared. The rate of detection of visible areas was equivalent for the supervised learning program and for our automatic self-learning program. The visible areas automatically identified by self-learning program correlated to the areas identified by an experienced physician. We developed a novel self-learning automated program to identify visible areas in capsule endoscopic images.

  14. Identifying Adverse Drug Events by Relational Learning.

    Science.gov (United States)

    Page, David; Costa, Vítor Santos; Natarajan, Sriraam; Barnard, Aubrey; Peissig, Peggy; Caldwell, Michael

    2012-07-01

    The pharmaceutical industry, consumer protection groups, users of medications and government oversight agencies are all strongly interested in identifying adverse reactions to drugs. While a clinical trial of a drug may use only a thousand patients, once a drug is released on the market it may be taken by millions of patients. As a result, in many cases adverse drug events (ADEs) are observed in the broader population that were not identified during clinical trials. Therefore, there is a need for continued, post-marketing surveillance of drugs to identify previously-unanticipated ADEs. This paper casts this problem as a reverse machine learning task , related to relational subgroup discovery and provides an initial evaluation of this approach based on experiments with an actual EMR/EHR and known adverse drug events.

  15. Identifying QCD Transition Using Deep Learning

    Science.gov (United States)

    Zhou, Kai; Pang, Long-gang; Su, Nan; Petersen, Hannah; Stoecker, Horst; Wang, Xin-Nian

    2018-02-01

    In this proceeding we review our recent work using supervised learning with a deep convolutional neural network (CNN) to identify the QCD equation of state (EoS) employed in hydrodynamic modeling of heavy-ion collisions given only final-state particle spectra ρ(pT, V). We showed that there is a traceable encoder of the dynamical information from phase structure (EoS) that survives the evolution and exists in the final snapshot, which enables the trained CNN to act as an effective "EoS-meter" in detecting the nature of the QCD transition.

  16. Towards identifying Collaborative Learning groups using Social Media

    Directory of Open Access Journals (Sweden)

    Selver Softic

    2012-11-01

    Full Text Available This work reports about the preliminary results and ongoing research based upon profiling collaborative learning groups of persons within the social micro-blogging platforms like Twitter that share potentially common interests on special topic. Hereby the focus is held on spontaneously initiated collaborative learning in Social Media and detection of collaborative learning groups based upon their communication dynamics. Research questions targeted to be answered are: are there any useful data mining algorithms to fulfill the task of pre-selection and clustering of users in social networks, how good do they perform, and what are the metrics that could be used for detection and evaluation in the realm of this task. Basic approach presented here uses as preamble hypothesis that users and their interests in Social Networks can be identified through content generated by them and content they consume. Special focus is held on topic oriented approach as least common bounding point. Those should be also the basic criteria used to detect and outline the learning groups. The aim of this work is to deliver first scientific pre-work for successfully implementation of recommender systems using social network metrics and content features of social network users for the purposes of better learning group communication and information consumption.

  17. The learning environment and learning styles: a guide for mentors.

    Science.gov (United States)

    Vinales, James Jude

    The learning environment provides crucial exposure for the pre-registration nursing student. It is during this time that the student nurse develops his or her repertoire of skills, knowledge, attitudes and behaviour in order to meet competencies and gain registration with the Nursing and Midwifery Council. The role of the mentor is vital within the learning environment for aspiring nurses. The learning environment is a fundamental platform for student learning, with mentors key to identifying what is conducive to learning. This article will consider the learning environment and learning styles, and how these two essential elements guide the mentor in making sure they are conducive to learning.

  18. Using Active Learning to Identify Health Information Technology Related Patient Safety Events.

    Science.gov (United States)

    Fong, Allan; Howe, Jessica L; Adams, Katharine T; Ratwani, Raj M

    2017-01-18

    The widespread adoption of health information technology (HIT) has led to new patient safety hazards that are often difficult to identify. Patient safety event reports, which are self-reported descriptions of safety hazards, provide one view of potential HIT-related safety events. However, identifying HIT-related reports can be challenging as they are often categorized under other more predominate clinical categories. This challenge of identifying HIT-related reports is exacerbated by the increasing number and complexity of reports which pose challenges to human annotators that must manually review reports. In this paper, we apply active learning techniques to support classification of patient safety event reports as HIT-related. We evaluated different strategies and demonstrated a 30% increase in average precision of a confirmatory sampling strategy over a baseline no active learning approach after 10 learning iterations.

  19. Embedding Literacy and Essential Skills in Workplace Learning: Breaking the Solitudes

    Science.gov (United States)

    Derrick, Jay

    2012-01-01

    This paper attempts to identify some tools to help practioners think about, debate and plan Workplace Literacy and Essential Skills (WLES) programs. Such tools are necessary so that discussions between practitioners aiming to clarify good practice and successful approaches can get beyond mere descriptions of what happened. In order to compare and…

  20. Lifelong learning in nursing: a Delphi study.

    Science.gov (United States)

    Davis, Lisa; Taylor, Heidi; Reyes, Helen

    2014-03-01

    In order to foster a culture of lifelong learning in nursing, it is important to identify what the concept means in the nursing profession as well as the characteristics of a lifelong learner. The purpose of this Delphi study was to conceptualize lifelong learning from the perspective of nursing, and to identify characteristics and essential elements of lifelong learning. A Delphi Study technique in three phases was completed using an online survey tool. Data were analyzed for conceptual description, ratings of characteristics and attributes, and expert consensus in these three phases. An online survey tool was used in this study. Recognized experts in nursing education, administration and public policy participated in this study. Lifelong learning in nursing is defined as a dynamic process, which encompasses both personal and professional life. This learning process is also both formal and informal. Lifelong learning involves seeking and appreciating new worlds or ideas in order to gain a new perspective as well as questioning one's environment, knowledge, skills and interactions. The most essential characteristics of a lifelong learner are reflection, questioning, enjoying learning, understanding the dynamic nature of knowledge, and engaging in learning by actively seeking learning opportunities. Keeping the mind active is essential to both lifelong learning and being able to translate knowledge into the capacity to deliver high quality nursing care. It is hoped that a clearer understanding of lifelong learning in nursing will foster more discussion and research about intentional, active inclusion of lifelong learning behaviors in nursing curricula. Copyright © 2013 Elsevier Ltd. All rights reserved.

  1. The essential skills required by librarians to support medical virtual learning programs.

    Science.gov (United States)

    Soleymani, Mohammad Reza; Akbari, Zahra; Mojiri, Shahin

    2016-01-01

    Background: With the recent spread of virtual learning programs in universities, especially in the field of medical sciences, libraries play a crucial role to support these programs. This study aimed at investigating the skills required by librarians to support virtual learning programs in Isfahan University and Isfahan University of Medical Sciences. Methods: This was an applied survey study. The population of the study includes all librarians working in Isfahan University and Isfahan University of Medical Sciences. A sample of 89 librarians was selected by stratified random sampling. Data were collected by a researcher-made questionnaire, the validity of which was confirmed by specialists in the fields of librarianship and information sciences and virtual learning, and its reliability was determined to be 0.92, using Cronbach's Alpha. The questionnaire consisted of 51 items designed to evaluate the librarians' virtual learning skills using Likert scale. Descriptive and inferential statistics were used to analyze the findings. Results: The findings of this study revealed that librarians had low level of skills with respect to the online reference services, and familiarity with virtual learning environment. They also showed low and average level of skills with respect to their general information technology, communication skills, ability to teach electronic information literacy and ability to create access to electronic resources. The results revealed no significant difference between the librarians of the two universities, or between male and female librarians. However, librarians with educational background in librarianship and information sciences were significantly more skillful and competent than their colleagues. Conclusion: Despite the crucial role of libraries in supporting virtual learning programs, the librarians in Isfahan University and Isfahan University of Medical Sciences had low-level skills to play such an important role. Therefore, it is essential

  2. Essentials for successful English language teaching

    CERN Document Server

    Farrell, Thomas S C

    2010-01-01

    Essentials For Successful English Language Teaching is about how we teach English Language Learners (ELLs) and how our ELLs learn. Farrell and Jacobs encourage those involved in teaching English to develop, maintain and rediscover the reasons that led them to take up the profession. They focus on the essentials in teaching the English language that teachers can implement in their instruction so that their students can excel in their learning: Encourage learner autonomy Emphasize the social nature of learning Develop curricular integration, focus on meaning Celebrate diversity Expand thinking s

  3. Learning commons evolution and collaborative essentials

    CERN Document Server

    Schader, Barbara

    2008-01-01

    This book examines successfully planned and implemented learning commons at several different academic institutions around the world. These case studies provide a methodology for effective planning, implementation and assessment. Practical information is provided on how to collaborate with campus stakeholders, estimate budgeting and staffing and determine the equipment, hardware and software needs. Also provided are memoranda of understandings (MOUs), planning checklists and assessment tools. This book reflects a unifying focus on both the evolution of learning commons to learning spaces and t

  4. Automotive Mechanics. Student Learning Guides.

    Science.gov (United States)

    Ridge Vocational-Technical Center, Winter Haven, FL.

    These 33 learning guides are self-instructional packets for 33 tasks identified as essential for performance on an entry-level job in automotive mechanics. Each guide is based on a terminal performance objective (task) and 1-9 enabling objectives. For each enabliing objective, some or all of these materials may be presented: learning steps…

  5. Identifying key areas for active interprofessional learning partnerships: A facilitated dialogue.

    Science.gov (United States)

    Steven, Kathryn; Angus, Allyson; Breckenridge, Jenna; Davey, Peter; Tully, Vicki; Muir, Fiona

    2016-11-01

    Student and service user involvement is recognised as an important factor in creating interprofessional education (IPE) opportunities. We used a team-based learning approach to bring together undergraduate health professional students, early career professionals (ECPs), public partners, volunteers, and carers to explore learning partnerships. Influenced by evaluative inquiry, this qualitative study used a free text response to allow participants to give their own opinion. A total of 153 participants (50 public partners and 103 students and professionals representing 11 healthcare professions) took part. Participants were divided into mixed groups of six (n = 25) and asked to identify areas where students, professionals, and public could work together to improve health professional education. Each group documented their discussions by summarising agreed areas and next steps. Responses were collected and transcribed for inductive content analysis. Seven key themes (areas for joint working) were identified: communication, public as partners, standards of conduct, IPE, quality improvement, education, and learning environments. The team-based learning format enabled undergraduate and postgraduate health professionals to achieve consensus with public partners on areas for IPE and collaboration. Some of our results may be context-specific but the approach is generalisable to other areas.

  6. Learn the Lagrangian: A Vector-Valued RKHS Approach to Identifying Lagrangian Systems.

    Science.gov (United States)

    Cheng, Ching-An; Huang, Han-Pang

    2016-12-01

    We study the modeling of Lagrangian systems with multiple degrees of freedom. Based on system dynamics, canonical parametric models require ad hoc derivations and sometimes simplification for a computable solution; on the other hand, due to the lack of prior knowledge in the system's structure, modern nonparametric models in machine learning face the curse of dimensionality, especially in learning large systems. In this paper, we bridge this gap by unifying the theories of Lagrangian systems and vector-valued reproducing kernel Hilbert space. We reformulate Lagrangian systems with kernels that embed the governing Euler-Lagrange equation-the Lagrangian kernels-and show that these kernels span a subspace capturing the Lagrangian's projection as inverse dynamics. By such property, our model uses only inputs and outputs as in machine learning and inherits the structured form as in system dynamics, thereby removing the need for the mundane derivations for new systems as well as the generalization problem in learning from scratches. In effect, it learns the system's Lagrangian, a simpler task than directly learning the dynamics. To demonstrate, we applied the proposed kernel to identify the robot inverse dynamics in simulations and experiments. Our results present a competitive novel approach to identifying Lagrangian systems, despite using only inputs and outputs.

  7. Prezi essentials

    CERN Document Server

    Sinclair, Domi

    2014-01-01

    If you want to learn Prezi, and specifically design within Prezi, this is the book for you. Perhaps you already know a bit about Prezi but have never used it, or perhaps you have used Prezi before but want to learn how to incorporate your own custom design elements. In either case, this book will get you up and running quickly. It would be helpful to have a bit of familiarity with basic design concepts and the use of Prezi, but prior experience is not essential.

  8. Moodle administration essentials

    CERN Document Server

    Henrick, Gavin

    2015-01-01

    If you are an experienced system administrator and know how to manage servers and set up web environments but now want to explore Moodle, this book is perfect for you. You'll get to grips with the basics and learn to manage Moodle quickly, focusing on essential tasks. Having prior knowledge of virtual learning environments would be beneficial, but is not mandatory to make the most of this book.

  9. Identifying Students' Characteristic Learning Behaviors in an Intelligent Tutoring System Fostering Self-Regulated Learning

    Science.gov (United States)

    Bouchet, Francois; Azevedo, Roger; Kinnebrew, John S.; Biswas, Gautam

    2012-01-01

    Identification of student learning behaviors, especially those that characterize or distinguish students, can yield important insights for the design of adaptation and feedback mechanisms in Intelligent Tutoring Systems (ITS). In this paper, we analyze trace data to identify distinguishing patterns of behavior in a study of 51 college students…

  10. Identifying learning characteristics of the gifted Students in the ...

    African Journals Online (AJOL)

    The failure of schools, teachers and counsellors to identify gifted students as well as responding to their unique characteristics and learning needs give rise to this paper. Gifted learners possess high level of intelligence than their peers, but are disadvantaged in the sense that they are not given the opportunity to reach their ...

  11. Mobile Learning Devices. Essentials for Principals

    Science.gov (United States)

    Rogers, Kipp D.

    2011-01-01

    In "Mobile Learning Devices," the author helps educators confront and overcome their fears and doubts about using mobile learning devices (MLDs) such as cell phones, personal digital assistants, MP3 players, handheld games, digital audio players, and laptops in classrooms. School policies that ban such tools are outdated, the author suggests;…

  12. Student Modeling and Machine Learning

    OpenAIRE

    Sison , Raymund; Shimura , Masamichi

    1998-01-01

    After identifying essential student modeling issues and machine learning approaches, this paper examines how machine learning techniques have been used to automate the construction of student models as well as the background knowledge necessary for student modeling. In the process, the paper sheds light on the difficulty, suitability and potential of using machine learning for student modeling processes, and, to a lesser extent, the potential of using student modeling techniques in machine le...

  13. Genome-wide CRISPR/Cas9 Screen Identifies Host Factors Essential for Influenza Virus Replication

    Directory of Open Access Journals (Sweden)

    Julianna Han

    2018-04-01

    Full Text Available Summary: The emergence of influenza A viruses (IAVs from zoonotic reservoirs poses a great threat to human health. As seasonal vaccines are ineffective against zoonotic strains, and newly transmitted viruses can quickly acquire drug resistance, there remains a need for host-directed therapeutics against IAVs. Here, we performed a genome-scale CRISPR/Cas9 knockout screen in human lung epithelial cells with a human isolate of an avian H5N1 strain. Several genes involved in sialic acid biosynthesis and related glycosylation pathways were highly enriched post-H5N1 selection, including SLC35A1, a sialic acid transporter essential for IAV receptor expression and thus viral entry. Importantly, we have identified capicua (CIC as a negative regulator of cell-intrinsic immunity, as loss of CIC resulted in heightened antiviral responses and restricted replication of multiple viruses. Therefore, our study demonstrates that the CRISPR/Cas9 system can be utilized for the discovery of host factors critical for the replication of intracellular pathogens. : Using a genome-wide CRISPR/Cas9 screen, Han et al. demonstrate that the major hit, the sialic acid transporter SLC35A1, is an essential host factor for IAV entry. In addition, they identify the DNA-binding transcriptional repressor CIC as a negative regulator of cell-intrinsic immunity. Keywords: CRISPR/Cas9 screen, GeCKO, influenza virus, host factors, sialic acid pathway, SLC35A1, Capicua, CIC, cell-intrinsic immunity, H5N1

  14. Antimicrobial and Antibiofilm Activity and Machine Learning Classification Analysis of Essential Oils from Different Mediterranean Plants against Pseudomonas aeruginosa.

    Science.gov (United States)

    Artini, Marco; Patsilinakos, Alexandros; Papa, Rosanna; Božović, Mijat; Sabatino, Manuela; Garzoli, Stefania; Vrenna, Gianluca; Tilotta, Marco; Pepi, Federico; Ragno, Rino; Selan, Laura

    2018-02-23

    Pseudomonas aeruginosa is a ubiquitous organism and opportunistic pathogen that can cause persistent infections due to its peculiar antibiotic resistance mechanisms and to its ability to adhere and form biofilm. The interest in the development of new approaches for the prevention and treatment of biofilm formation has recently increased. The aim of this study was to seek new non-biocidal agents able to inhibit biofilm formation, in order to counteract virulence rather than bacterial growth and avoid the selection of escape mutants. Herein, different essential oils extracted from Mediterranean plants were analyzed for their activity against P. aeruginosa . Results show that they were able to destabilize biofilm at very low concentration without impairing bacterial viability. Since the action is not related to a bacteriostatic/bactericidal activity on P. aeruginosa , the biofilm change of growth in presence of the essential oils was possibly due to a modulation of the phenotype. To this aim, application of machine learning algorithms led to the development of quantitative activity-composition relationships classification models that allowed to direct point out those essential oil chemical components more involved in the inhibition of biofilm production. The action of selected essential oils on sessile phenotype make them particularly interesting for possible applications such as prevention of bacterial contamination in the community and in healthcare environments in order to prevent human infections. We assayed 89 samples of different essential oils as P. aeruginosa anti-biofilm. Many samples inhibited P. aeruginosa biofilm at concentrations as low as 48.8 µg/mL. Classification of the models was developed through machine learning algorithms.

  15. Proteomic profiling of Plasmodium sporozoite maturation identifies new proteins essential for parasite development and infectivity

    DEFF Research Database (Denmark)

    Lasonder, Edwin; Janse, Chris J; van Gemert, Geert-Jan

    2008-01-01

    Plasmodium falciparum sporozoites that develop and mature inside an Anopheles mosquito initiate a malaria infection in humans. Here we report the first proteomic comparison of different parasite stages from the mosquito -- early and late oocysts containing midgut sporozoites, and the mature...... whose annotation suggest an involvement in sporozoite maturation, motility, infection of the human host and associated metabolic adjustments. Analyses of proteins identified in the P. falciparum sporozoite proteomes by orthologous gene disruption in the rodent malaria parasite, P. berghei, revealed...... three previously uncharacterized Plasmodium proteins that appear to be essential for sporozoite development at distinct points of maturation in the mosquito. This study sheds light on the development and maturation of the malaria parasite in an Anopheles mosquito and also identifies proteins that may...

  16. Comparisons and Lessons Learned

    NARCIS (Netherlands)

    Jensen, PA; van der Voordt, Theo; Coenen, C; Sarasoja, AL; van der Voordt, DJM; Jensen, PA; Coenen, C

    2012-01-01

    Purpose: To create an overview and evaluation of the achievements of the contributions in this book by identifying, summarising and discussing cross-cutting themes and essential learning points across the former chapters.
    Methodology: Based on a purposeful reading of all chapters comparisons are

  17. Identifying Different Registers of Digital Literacy in Virtual Learning Environments

    Science.gov (United States)

    Knutsson, Ola; Blasjo, Mona.; Hallsten, Stina; Karlstrom, Petter

    2012-01-01

    In this paper social semiotics, and systemic functional linguistics in particular, are used in order to identify registers of digital literacy in the use of virtual learning environments. The framework of social semiotics provides means to systemize and discuss digital literacy as a linguistic and semiotic issue. The following research question…

  18. Antimicrobial and Antibiofilm Activity and Machine Learning Classification Analysis of Essential Oils from Different Mediterranean Plants against Pseudomonas aeruginosa

    Directory of Open Access Journals (Sweden)

    Marco Artini

    2018-02-01

    Full Text Available Pseudomonas aeruginosa is a ubiquitous organism and opportunistic pathogen that can cause persistent infections due to its peculiar antibiotic resistance mechanisms and to its ability to adhere and form biofilm. The interest in the development of new approaches for the prevention and treatment of biofilm formation has recently increased. The aim of this study was to seek new non-biocidal agents able to inhibit biofilm formation, in order to counteract virulence rather than bacterial growth and avoid the selection of escape mutants. Herein, different essential oils extracted from Mediterranean plants were analyzed for their activity against P. aeruginosa. Results show that they were able to destabilize biofilm at very low concentration without impairing bacterial viability. Since the action is not related to a bacteriostatic/bactericidal activity on P. aeruginosa, the biofilm change of growth in presence of the essential oils was possibly due to a modulation of the phenotype. To this aim, application of machine learning algorithms led to the development of quantitative activity–composition relationships classification models that allowed to direct point out those essential oil chemical components more involved in the inhibition of biofilm production. The action of selected essential oils on sessile phenotype make them particularly interesting for possible applications such as prevention of bacterial contamination in the community and in healthcare environments in order to prevent human infections. We assayed 89 samples of different essential oils as P. aeruginosa anti-biofilm. Many samples inhibited P. aeruginosa biofilm at concentrations as low as 48.8 µg/mL. Classification of the models was developed through machine learning algorithms.

  19. Organisational Issues for E-Learning: Critical Success Factors as Identified by HE Practitioners

    Science.gov (United States)

    McPherson, Maggie; Nunes, Miguel Baptista

    2006-01-01

    Purpose: The purpose of this paper is to report on a research project that identified organisational critical success factors (CSFs) for e-learning implementation in higher education (HE). These CSFs can be used as a theoretical foundation upon which to base decision-making and strategic thinking about e-learning. Design/methodology/approach: The…

  20. A newly identified essential complex, Dre2-Tah18, controls mitochondria integrity and cell death after oxidative stress in yeast.

    Directory of Open Access Journals (Sweden)

    Laurence Vernis

    Full Text Available A mutated allele of the essential gene TAH18 was previously identified in our laboratory in a genetic screen for new proteins interacting with the DNA polymerase delta in yeast [1]. The present work shows that Tah18 plays a role in response to oxidative stress. After exposure to lethal doses of H(2O(2, GFP-Tah18 relocalizes to the mitochondria and controls mitochondria integrity and cell death. Dre2, an essential Fe/S cluster protein and homologue of human anti-apoptotic Ciapin1, was identified as a molecular partner of Tah18 in the absence of stress. Moreover, Ciapin1 is able to replace yeast Dre2 in vivo and physically interacts with Tah18. Our results are in favour of an oxidative stress-induced cell death in yeast that involves mitochondria and is controlled by the newly identified Dre2-Tah18 complex.

  1. Learning Zimbra Server essentials

    CERN Document Server

    Kouka, Abdelmonam

    2013-01-01

    A standard tutorial approach which will guide the readers on all of the intricacies of the Zimbra Server.If you are any kind of Zimbra user, this book will be useful for you, from newbies to experts who would like to learn how to setup a Zimbra server. If you are an IT administrator or consultant who is exploring the idea of adopting, or have already adopted Zimbra as your mail server, then this book is for you. No prior knowledge of Zimbra is required.

  2. N400 Response Indexes Word Learning from Linguistic Context in Children

    Science.gov (United States)

    Abel, Alyson D.; Schneider, Julie; Maguire, Mandy J

    2018-01-01

    Word learning from linguistic context is essential for vocabulary growth from grade school onward; however, little is known about the mechanisms underlying successful word learning in children. Current methods for studying word learning development require children to identify the meaning of the word after each exposure, a method that interacts…

  3. Incorporating deep learning with convolutional neural networks and position specific scoring matrices for identifying electron transport proteins.

    Science.gov (United States)

    Le, Nguyen-Quoc-Khanh; Ho, Quang-Thai; Ou, Yu-Yen

    2017-09-05

    In several years, deep learning is a modern machine learning technique using in a variety of fields with state-of-the-art performance. Therefore, utilization of deep learning to enhance performance is also an important solution for current bioinformatics field. In this study, we try to use deep learning via convolutional neural networks and position specific scoring matrices to identify electron transport proteins, which is an important molecular function in transmembrane proteins. Our deep learning method can approach a precise model for identifying of electron transport proteins with achieved sensitivity of 80.3%, specificity of 94.4%, and accuracy of 92.3%, with MCC of 0.71 for independent dataset. The proposed technique can serve as a powerful tool for identifying electron transport proteins and can help biologists understand the function of the electron transport proteins. Moreover, this study provides a basis for further research that can enrich a field of applying deep learning in bioinformatics. © 2017 Wiley Periodicals, Inc. © 2017 Wiley Periodicals, Inc.

  4. Exploring the Optimal Strategy to Predict Essential Genes in Microbes

    Directory of Open Access Journals (Sweden)

    Yao Lu

    2011-12-01

    Full Text Available Accurately predicting essential genes is important in many aspects of biology, medicine and bioengineering. In previous research, we have developed a machine learning based integrative algorithm to predict essential genes in bacterial species. This algorithm lends itself to two approaches for predicting essential genes: learning the traits from known essential genes in the target organism, or transferring essential gene annotations from a closely related model organism. However, for an understudied microbe, each approach has its potential limitations. The first is constricted by the often small number of known essential genes. The second is limited by the availability of model organisms and by evolutionary distance. In this study, we aim to determine the optimal strategy for predicting essential genes by examining four microbes with well-characterized essential genes. Our results suggest that, unless the known essential genes are few, learning from the known essential genes in the target organism usually outperforms transferring essential gene annotations from a related model organism. In fact, the required number of known essential genes is surprisingly small to make accurate predictions. In prokaryotes, when the number of known essential genes is greater than 2% of total genes, this approach already comes close to its optimal performance. In eukaryotes, achieving the same best performance requires over 4% of total genes, reflecting the increased complexity of eukaryotic organisms. Combining the two approaches resulted in an increased performance when the known essential genes are few. Our investigation thus provides key information on accurately predicting essential genes and will greatly facilitate annotations of microbial genomes.

  5. The Past as a Puzzle: How Essential Questions Can Piece Together a Meaningful Investigation of History

    Science.gov (United States)

    Obenchain, Kathryn M.; Orr, Angela; Davis, Susan H.

    2011-01-01

    This article details a professional development program focused on the use of essential questions in reframing U.S. history learning experiences in elementary, middle, and high schools. Teachers identified four problems in designing and teaching engaging, relevant, and challenging U.S. history lessons. Each problem was addressed through the…

  6. Transition-Focused Professional Development: An Annotated Bibliography of Essential Elements and Features of Professional Development

    Science.gov (United States)

    Holzberg, Debra G.; Clark, Kelly A.; Morningstar, Mary E.

    2018-01-01

    Transition professional development (PD) has been identified as a way to improve transition services; however, there is a dearth of literature on transition-focused PD. To learn more about the essential features of effective PD, 73 published articles were evaluated in the area of PD in both secondary transition and special education. Articles were…

  7. Promoting ‘Learning’ Literacy through Picturebooks: Learning How to Learn

    Directory of Open Access Journals (Sweden)

    Gail Ellis

    2016-11-01

    Full Text Available Picturebooks provide a rich and motivating resource to develop children’s early language learning such as basic understanding, vocabulary and phrases related to the content of a story, but they can also be used to develop multiple literacies. These include visual, emotional, cultural, nature, digital, moving image literacy and ‘learning’ literacy, which is linked to learning how to learn and learner autonomy. ‘Learning’ literacy is described as an ethos, a culture and a way of life and involves being ready to develop learning capacities and the behaviours individuals need, including being willing to learn continuously, as competencies essential to thriving in a globally connected, digitally driven world. The Important Book (Brown & Weisgard, 1949 is used as an example of how learning literacy can be integrated into primary English language pedagogy by applying the Plan, Do, Review model of reflection. Working through the three stages of the Plan Do Review cycle, children are informed of the aims of the activity; they identify success criteria, draft and refine their own paragraphs about an important object, review what they did, what they learnt and how they learnt and then assess their performance to identify next steps. This process enables the teacher to create learning environments that develop learning literacy, by providing opportunities for systematic reflection and experimentation and the development of metacognitive and cognitive learning strategies.

  8. Essentials of cloud computing

    CERN Document Server

    Chandrasekaran, K

    2014-01-01

    ForewordPrefaceComputing ParadigmsLearning ObjectivesPreambleHigh-Performance ComputingParallel ComputingDistributed ComputingCluster ComputingGrid ComputingCloud ComputingBiocomputingMobile ComputingQuantum ComputingOptical ComputingNanocomputingNetwork ComputingSummaryReview PointsReview QuestionsFurther ReadingCloud Computing FundamentalsLearning ObjectivesPreambleMotivation for Cloud ComputingThe Need for Cloud ComputingDefining Cloud ComputingNIST Definition of Cloud ComputingCloud Computing Is a ServiceCloud Computing Is a Platform5-4-3 Principles of Cloud computingFive Essential Charact

  9. Learning to Identify Local Flora with Human Feedback (Author’s Manuscript)

    Science.gov (United States)

    2014-06-23

    cally tag images with species names of flora or fauna to sup- port content-based retrieval [10]. Detecting and identifying species could help to infer...Learning to Identify Local Flora with Human Feedback Stefan Lee and David Crandall School of Informatics and Computing Indiana University {steflee...applications that use consumer pho- tos to track the distribution of natural phenomena [8]. But flora identification is a very difficult problem, both

  10. The Effects of Using the Essential Skills Inventory on Teacher Perception of High-Quality Classroom Instruction

    Science.gov (United States)

    Sornson, Bob

    2015-01-01

    This study explores the efficacy of using the Essential Skill Inventories (ESI) to increase high-quality instruction in the early learning years. Kindergarten and first- and second-grade teachers, who were identified as using the ESI with fidelity, assessed their own teaching skills and behaviors, reflecting on these before and after use of the…

  11. Guided genetic screen to identify genes essential in the regeneration of hair cells and other tissues.

    Science.gov (United States)

    Pei, Wuhong; Xu, Lisha; Huang, Sunny C; Pettie, Kade; Idol, Jennifer; Rissone, Alberto; Jimenez, Erin; Sinclair, Jason W; Slevin, Claire; Varshney, Gaurav K; Jones, MaryPat; Carrington, Blake; Bishop, Kevin; Huang, Haigen; Sood, Raman; Lin, Shuo; Burgess, Shawn M

    2018-01-01

    Regenerative medicine holds great promise for both degenerative diseases and traumatic tissue injury which represent significant challenges to the health care system. Hearing loss, which affects hundreds of millions of people worldwide, is caused primarily by a permanent loss of the mechanosensory receptors of the inner ear known as hair cells. This failure to regenerate hair cells after loss is limited to mammals, while all other non-mammalian vertebrates tested were able to completely regenerate these mechanosensory receptors after injury. To understand the mechanism of hair cell regeneration and its association with regeneration of other tissues, we performed a guided mutagenesis screen using zebrafish lateral line hair cells as a screening platform to identify genes that are essential for hair cell regeneration, and further investigated how genes essential for hair cell regeneration were involved in the regeneration of other tissues. We created genetic mutations either by retroviral insertion or CRISPR/Cas9 approaches, and developed a high-throughput screening pipeline for analyzing hair cell development and regeneration. We screened 254 gene mutations and identified 7 genes specifically affecting hair cell regeneration. These hair cell regeneration genes fell into distinct and somewhat surprising functional categories. By examining the regeneration of caudal fin and liver, we found these hair cell regeneration genes often also affected other types of tissue regeneration. Therefore, our results demonstrate guided screening is an effective approach to discover regeneration candidates, and hair cell regeneration is associated with other tissue regeneration.

  12. Metabolomics identifies perturbations in amino acid metabolism in the prefrontal cortex of the learned helplessness rat model of depression.

    Science.gov (United States)

    Zhou, Xinyu; Liu, Lanxiang; Zhang, Yuqing; Pu, Juncai; Yang, Lining; Zhou, Chanjuan; Yuan, Shuai; Zhang, Hanping; Xie, Peng

    2017-02-20

    Major depressive disorder is a serious psychiatric condition associated with high rates of suicide and is a leading cause of health burden worldwide. However, the underlying molecular mechanisms of major depression are still essentially unclear. In our study, a non-targeted gas chromatography-mass spectrometry-based metabolomics approach was used to investigate metabolic changes in the prefrontal cortex of the learned helplessness (LH) rat model of depression. Body-weight measurements and behavioral tests including the active escape test, sucrose preference test, forced swimming test, elevated plus-maze and open field test were used to assess changes in the behavioral spectrum after inescapable footshock stress. Rats in the stress group exhibited significant learned helpless and depression-like behaviors, while without any significant change in anxiety-like behaviors. Using multivariate and univariate statistical analysis, a total of 18 differential metabolites were identified after the footshock stress protocol. Ingenuity Pathways Analysis and MetaboAnalyst were applied for predicted pathways and biological functions analysis. "Amino Acid Metabolism, Molecule Transport, Small Molecule Biochemistry" was the most significantly altered network in the LH model. Amino acid metabolism, particularly glutamate metabolism, cysteine and methionine metabolism, arginine and proline metabolism, was significantly perturbed in the prefrontal cortex of LH rats. Copyright © 2016 IBRO. Published by Elsevier Ltd. All rights reserved.

  13. Identifying potential misfit items in cognitive process of learning engineering mathematics based on Rasch model

    International Nuclear Information System (INIS)

    Ataei, Sh; Mahmud, Z; Khalid, M N

    2014-01-01

    The students learning outcomes clarify what students should know and be able to demonstrate after completing their course. So, one of the issues on the process of teaching and learning is how to assess students' learning. This paper describes an application of the dichotomous Rasch measurement model in measuring the cognitive process of engineering students' learning of mathematics. This study provides insights into the perspective of 54 engineering students' cognitive ability in learning Calculus III based on Bloom's Taxonomy on 31 items. The results denote that some of the examination questions are either too difficult or too easy for the majority of the students. This analysis yields FIT statistics which are able to identify if there is data departure from the Rasch theoretical model. The study has identified some potential misfit items based on the measurement of ZSTD where the removal misfit item was accomplished based on the MNSQ outfit of above 1.3 or less than 0.7 logit. Therefore, it is recommended that these items be reviewed or revised to better match the range of students' ability in the respective course.

  14. Per-service supervised learning for identifying desired WoT apps from user requests in natural language.

    Directory of Open Access Journals (Sweden)

    Young Yoon

    Full Text Available Web of Things (WoT platforms are growing fast so as the needs for composing WoT apps more easily and efficiently. We have recently commenced the campaign to develop an interface where users can issue requests for WoT apps entirely in natural language. This requires an effort to build a system that can learn to identify relevant WoT functions that fulfill user's requests. In our preceding work, we trained a supervised learning system with thousands of publicly-available IFTTT app recipes based on conditional random fields (CRF. However, the sub-par accuracy and excessive training time motivated us to devise a better approach. In this paper, we present a novel solution that creates a separate learning engine for each trigger service. With this approach, parallel and incremental learning becomes possible. For inference, our system first identifies the most relevant trigger service for a given user request by using an information retrieval technique. Then, the learning engine associated with the trigger service predicts the most likely pair of trigger and action functions. We expect that such two-phase inference method given parallel learning engines would improve the accuracy of identifying related WoT functions. We verify our new solution through the empirical evaluation with training and test sets sampled from a pool of refined IFTTT app recipes. We also meticulously analyze the characteristics of the recipes to find future research directions.

  15. Per-service supervised learning for identifying desired WoT apps from user requests in natural language.

    Science.gov (United States)

    Yoon, Young

    2017-01-01

    Web of Things (WoT) platforms are growing fast so as the needs for composing WoT apps more easily and efficiently. We have recently commenced the campaign to develop an interface where users can issue requests for WoT apps entirely in natural language. This requires an effort to build a system that can learn to identify relevant WoT functions that fulfill user's requests. In our preceding work, we trained a supervised learning system with thousands of publicly-available IFTTT app recipes based on conditional random fields (CRF). However, the sub-par accuracy and excessive training time motivated us to devise a better approach. In this paper, we present a novel solution that creates a separate learning engine for each trigger service. With this approach, parallel and incremental learning becomes possible. For inference, our system first identifies the most relevant trigger service for a given user request by using an information retrieval technique. Then, the learning engine associated with the trigger service predicts the most likely pair of trigger and action functions. We expect that such two-phase inference method given parallel learning engines would improve the accuracy of identifying related WoT functions. We verify our new solution through the empirical evaluation with training and test sets sampled from a pool of refined IFTTT app recipes. We also meticulously analyze the characteristics of the recipes to find future research directions.

  16. Characterization equipment essential drawing plan

    International Nuclear Information System (INIS)

    WILSON, G.W.

    1999-01-01

    The purpose of this document is to list the Characterization equipment drawings that are classified as Essential Drawings. Essential Drawings: Are those drawings identified by the facility staff as necessary to directly support the safe operation of the facility or equipment (HNF 1997a). The Characterization equipment drawings identified in this report are deemed essential drawings as defined in HNF-PRO-242, Engineering Drawing Requirements (HNF 1997a). These drawings will be prepared, revised, and maintained per HNF-PRO-440, Engineering Document Change Control (HNF 1997b). All other Characterization equipment drawings not identified in this document will be considered Support drawings until the Characterization Equipment Drawing Evaluation Report is completed

  17. Identifying Structural Flow Defects in Disordered Solids Using Machine-Learning Methods

    Science.gov (United States)

    Cubuk, E. D.; Schoenholz, S. S.; Rieser, J. M.; Malone, B. D.; Rottler, J.; Durian, D. J.; Kaxiras, E.; Liu, A. J.

    2015-03-01

    We use machine-learning methods on local structure to identify flow defects—or particles susceptible to rearrangement—in jammed and glassy systems. We apply this method successfully to two very different systems: a two-dimensional experimental realization of a granular pillar under compression and a Lennard-Jones glass in both two and three dimensions above and below its glass transition temperature. We also identify characteristics of flow defects that differentiate them from the rest of the sample. Our results show it is possible to discern subtle structural features responsible for heterogeneous dynamics observed across a broad range of disordered materials.

  18. Social-Emotional Learning Is Essential to Classroom Management

    Science.gov (United States)

    Jones, Stephanie M.; Bailey, Rebecca; Jacob, Robin

    2014-01-01

    Research tells us that children's social-emotional development can propel learning. A new program, SECURe, embeds that research into classroom management strategies that improve teaching and learning. Across all classrooms and grade levels, four principles of effective management are constant: Effective classroom management is based in…

  19. Mutational analysis to identify the residues essential for the inhibition of N-acetyl glutamate kinase of Corynebacterium glutamicum.

    Science.gov (United States)

    Huang, Yuanyuan; Zhang, Hao; Tian, Hongming; Li, Cheng; Han, Shuangyan; Lin, Ying; Zheng, Suiping

    2015-09-01

    N-acetyl glutamate kinase (NAGK) is a key enzyme in the synthesis of L-arginine that is inhibited by its end product L-arginine in Corynebacterium glutamicum (C. glutamicum). In this study, the potential binding sites of arginine and the residues essential for its inhibition were identified by homology modeling, inhibitor docking, and site-directed mutagenesis. The allosteric inhibition of NAGK was successfully alleviated by a mutation, as determined through analysis of mutant enzymes, which were overexpressed in vivo in C. glutamicum ATCC14067. Analysis of the mutant enzymes and docking analysis demonstrated that residue W23 positions an arginine molecule, and the interaction between arginine and residues L282, L283, and T284 may play an important role in the remote inhibitory process. Based on the results of the docking analysis of the effective mutants, we propose a linkage mechanism for the remote allosteric regulation of NAGK activity, in which residue R209 may play an essential role. In this study, the structure of the arginine-binding site of C. glutamicum NAGK (CgNAGK) was successfully predicted and the roles of the relevant residues were identified, providing new insight into the allosteric regulation of CgNAGK activity and a solid platform for the future construction of an optimized L-arginine producing strain.

  20. Predicting Contextual Informativeness for Vocabulary Learning

    Science.gov (United States)

    Kapelner, Adam; Soterwood, Jeanine; Nessaiver, Shalev; Adlof, Suzanne

    2018-01-01

    Vocabulary knowledge is essential to educational progress. High quality vocabulary instruction requires supportive contextual examples to teach word meaning and proper usage. Identifying such contexts by hand for a large number of words can be difficult. In this work, we take a statistical learning approach to engineer a system that predicts…

  1. Reaching Consensus on Essential Biomedical Science Learning Objectives in a Dental Curriculum.

    Science.gov (United States)

    Best, Leandra; Walton, Joanne N; Walker, Judith; von Bergmann, HsingChi

    2016-04-01

    This article describes how the University of British Columbia Faculty of Dentistry reached consensus on essential basic biomedical science objectives for DMD students and applied the information to the renewal of its DMD curriculum. The Delphi Method was used to build consensus among dental faculty members and students regarding the relevance of over 1,500 existing biomedical science objectives. Volunteer panels of at least three faculty members (a basic scientist, a general dentist, and a dental specialist) and a fourth-year dental student were formed for each of 13 biomedical courses in the first two years of the program. Panel members worked independently and anonymously, rating each course objective as "need to know," "nice to know," "irrelevant," or "don't know." Panel members were advised after each round which objectives had not yet achieved a 75% consensus and were asked to reconsider their ratings. After a maximum of three rounds to reach consensus, a second group of faculty experts reviewed and refined the results to establish the biomedical science objectives for the renewed curriculum. There was consensus on 46% of the learning objectives after round one, 80% after round two, and 95% after round three. The second expert group addressed any remaining objectives as part of its review process. Only 47% of previous biomedical science course objectives were judged to be essential or "need to know" for the general dentist. The consensus reached by participants in the Delphi Method panels and a second group of faculty experts led to a streamlined, better integrated DMD curriculum to prepare graduates for future practice.

  2. Developing, implementing and evaluating a simulation learning ...

    African Journals Online (AJOL)

    Background: The training of undergraduate midwifery students to identify and manage post-partum haemorrhage, is an essential skill in midwifery. Aim: The aim of this study was to develop, implement and evaluate a simulation learning package (SLP) on post-partum haemorrhage for undergraduate midwifery students ...

  3. Characterization equipment essential/support drawing plan

    International Nuclear Information System (INIS)

    WILSON, G.W.

    1999-01-01

    The purpose of this document is to list the Characterization equipment drawings that are classified as Essential Drawings and Support Drawings. Essential Drawings: Are those drawings identified by the facility staff as necessary to directly support the safe operation of the facility or equipment (HNF 1997a). Support Drawings: Are those drawings identified by facility staff that further describe the design details of structures, systems, or components shown on essential drawings. (HNF 1997a) The Characterization equipment drawings identified in this report are deemed essential drawings as defined in HNF-PRO-242, Engineering Drawing Requirements (HNF 1997a). These drawings will be prepared, revised, and maintained per HNF-PRO-440, Engineering Document Change Control (HNF 1997b). All other Characterization equipment drawings not identified in this document will be considered General drawings until the Characterization Equipment Drawing Evaluation Report (Wilson 1998) is updated during fiscal year 1999. Trucks 1 and 2 drawings are not included in this revision of the essential drawing list due to uncertainty about future use

  4. How do postgraduate GP trainees regulate their learning and what helps and hinders them? A qualitative study

    NARCIS (Netherlands)

    Sagasser, M.H.; Kramer, A.W.M.; Vleuten, C.P.M. van der

    2012-01-01

    ABSTRACT: BACKGROUND: Self-regulation is essential for professional development. It involves monitoring of performance, identifying domains for improvement, undertaking learning activities, applying newly learned knowledge and skills and self-assessing performance. Since self-assessment alone is

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

    Science.gov (United States)

    Elbarbary, Rafik Said

    2015-01-01

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

  6. The GABAergic Anterior Paired Lateral Neurons Facilitate Olfactory Reversal Learning in "Drosophila"

    Science.gov (United States)

    Wu, Yanying; Ren, Qingzhong; Li, Hao; Guo, Aike

    2012-01-01

    Reversal learning has been widely used to probe the implementation of cognitive flexibility in the brain. Previous studies in monkeys identified an essential role of the orbitofrontal cortex (OFC) in reversal learning. However, the underlying circuits and molecular mechanisms are poorly understood. Here, we use the T-maze to investigate the neural…

  7. Mastering machine learning with scikit-learn

    CERN Document Server

    Hackeling, Gavin

    2014-01-01

    If you are a software developer who wants to learn how machine learning models work and how to apply them effectively, this book is for you. Familiarity with machine learning fundamentals and Python will be helpful, but is not essential.

  8. Modified Delphi Investigation of Motor Development and Learning in Physical Education Teacher Education

    Science.gov (United States)

    Ross, Susan; Metcalf, Amanda; Bulger, Sean M.; Housner, Lynn D.

    2014-01-01

    Purpose: As the scope of motor development and learning knowledge has successfully broadened over the years, there is an increased need to identify the content and learning experiences that are essential in preparing preservice physical educators. The purpose of this study was to generate expert consensus regarding the most critical motor…

  9. Identifying the Components of Effective Learning Environments Based on Health Students\\' Perception

    Directory of Open Access Journals (Sweden)

    Yousefi Afrashteh M

    2015-08-01

    Full Text Available Aims: Effective learning environment can lead to establish and strengthen the appropriate conditions of learning in higher education. This study aimed to identify and define the factors associated with effective learning environment in the field of health education. Participants & Methods: This qualitative study with content analysis approach was conducted in 2013. Participants were 9 graduate and 7 undergraduate students of health majors that were selected using purposive sampling method. Data were recorded by interview and were analyzed using qualitative content analysis. Findings: Analysis of the data revealed 4 themes and 13 classes active and interactive teaching (participating viewpoints of students in educational planning, engaging students in class discussions, providing practical examples to understand the content, relaxing about expressed thoughts, the possibility of constructive criticism master plan of activities and according to the conditions and individual differences between students, Joyful atmosphere (academic motivation, the joy of learning and attendance, a sense of acceptance and respect from teachers and classroom dynamics and vitality and fatigue, relation of courses with professional needs (knowledge of the needs of the job in training course content and related training to the needs of job opportunities and professors’ scientific and power and expert (expertise and scientific capabilities in the field of teaching. Conclusion: 4 major themes and their characteristics can help to organize the learning environment in medical education.

  10. Identifying and evaluating electronic learning resources for use in adult-gerontology nurse practitioner education.

    Science.gov (United States)

    Thompson, Hilaire J; Belza, Basia; Baker, Margaret; Christianson, Phyllis; Doorenbos, Ardith; Nguyen, Huong

    2014-01-01

    Enhancing existing curricula to meet newly published adult-gerontology advanced practice registered nurse (APRN) competencies in an efficient manner presents a challenge to nurse educators. Incorporating shared, published electronic learning resources (ELRs) in existing or new courses may be appropriate in order to assist students in achieving competencies. The purposes of this project were to (a) identify relevant available ELR for use in enhancing geriatric APRN education and (b) to evaluate the educational utility of identified ELRs based on established criteria. A multilevel search strategy was used. Two independent team members reviewed identified ELR against established criteria to ensure utility. Only resources meeting all criteria were retained. Resources were found for each of the competency areas and included formats such as podcasts, Web casts, case studies, and teaching videos. In many cases, resources were identified using supplemental strategies and not through traditional search or search of existing geriatric repositories. Resources identified have been useful to advanced practice educators in improving lecture and seminar content in a particular topic area and providing students and preceptors with additional self-learning resources. Addressing sustainability within geriatric APRN education is critical for sharing of best practices among educators and for sustainability of teaching and related resources. © 2014.

  11. Online Interactions and Social Presence in Online Learning

    Science.gov (United States)

    Lee, Sang Joon; Huang, Kun

    2018-01-01

    The community of inquiry framework identified three essential elements of cognitive, social, and teaching presences for a successful online learning experience. Among them, social presence is key for developing personal relationships and enhancing collaboration and critical discourse in online courses. This study examined whether providing more…

  12. An Analysis of the Relationship between English Language Arts and Mathematics Achievement and Essential Learning Mastery in Grades 3 and 4. Executive Summary

    Science.gov (United States)

    Haystead, Mark W.

    2016-01-01

    Over several years, Clark Pleasant Community School Corporation (CPCSC) schools have dedicated significant professional development hours and time to develop Essential Learnings (ELs) along with proficiency scales that could guide the content of classroom assessments used to determine student mastery. This executive summary highlights key findings…

  13. Electronic monitoring of adherence to inhaled corticosteroids: an essential tool in identifying severe asthma in children.

    Science.gov (United States)

    Jochmann, Anja; Artusio, Luca; Jamalzadeh, Angela; Nagakumar, Prasad; Delgado-Eckert, Edgar; Saglani, Sejal; Bush, Andrew; Frey, Urs; Fleming, Louise J

    2017-12-01

    International guidelines recommend that severe asthma can only be diagnosed after contributory factors, including adherence, have been addressed. Accurate assessment of adherence is difficult in clinical practice. We hypothesised that electronic monitoring in children would identify nonadherence, thus delineating the small number with true severe asthma.Asthmatic children already prescribed inhaled corticosteroids were prospectively recruited and persistence of adherence assessed using electronic monitoring devices. Spirometry, airway inflammation and asthma control were measured at the start and end of the monitoring period.93 children (62 male; median age 12.4 years) were monitored for a median of 92 days. Median (range) monitored adherence was 74% (21-99%). We identified four groups: 1) good adherence during monitoring with improved control, 24% (likely previous poor adherence); 2) good adherence with poor control, 18% (severe therapy-resistant asthma); 3) poor adherence with good control, 26% (likely overtreated); and 4) poor adherence with poor control, 32%. No clinical parameter prior to monitoring distinguished these groups.Electronic monitoring is a useful tool for identifying children in whom a step up in treatment is indicated. Different approaches are needed in those who are controlled when adherent or who are nonadherent. Electronic monitoring is essential in a paediatric severe asthma clinic. Copyright ©ERS 2017.

  14. Essential astrophysics

    CERN Document Server

    Lang, Kenneth R

    2013-01-01

    Essential Astrophysics is a book to learn or teach from, as well as a fundamental reference volume for anyone interested in astronomy and astrophysics. It presents astrophysics from basic principles without requiring any previous study of astronomy or astrophysics. It serves as a comprehensive introductory text, which takes the student through the field of astrophysics in lecture-sized chapters of basic physical principles applied to the cosmos. This one-semester overview will be enjoyed by undergraduate students with an interest in the physical sciences, such as astronomy, chemistry, engineering or physics, as well as by any curious student interested in learning about our celestial science. The mathematics required for understanding the text is on the level of simple algebra, for that is all that is needed to describe the fundamental principles. The text is of sufficient breadth and depth to prepare the interested student for more advanced specialized courses in the future. Astronomical examples are provide...

  15. Machine learning in Python essential techniques for predictive analysis

    CERN Document Server

    Bowles, Michael

    2015-01-01

    Learn a simpler and more effective way to analyze data and predict outcomes with Python Machine Learning in Python shows you how to successfully analyze data using only two core machine learning algorithms, and how to apply them using Python. By focusing on two algorithm families that effectively predict outcomes, this book is able to provide full descriptions of the mechanisms at work, and the examples that illustrate the machinery with specific, hackable code. The algorithms are explained in simple terms with no complex math and applied using Python, with guidance on algorithm selection, d

  16. Machine Learning Analysis Identifies Drosophila Grunge/Atrophin as an Important Learning and Memory Gene Required for Memory Retention and Social Learning.

    Science.gov (United States)

    Kacsoh, Balint Z; Greene, Casey S; Bosco, Giovanni

    2017-11-06

    High-throughput experiments are becoming increasingly common, and scientists must balance hypothesis-driven experiments with genome-wide data acquisition. We sought to predict novel genes involved in Drosophila learning and long-term memory from existing public high-throughput data. We performed an analysis using PILGRM, which analyzes public gene expression compendia using machine learning. We evaluated the top prediction alongside genes involved in learning and memory in IMP, an interface for functional relationship networks. We identified Grunge/Atrophin ( Gug/Atro ), a transcriptional repressor, histone deacetylase, as our top candidate. We find, through multiple, distinct assays, that Gug has an active role as a modulator of memory retention in the fly and its function is required in the adult mushroom body. Depletion of Gug specifically in neurons of the adult mushroom body, after cell division and neuronal development is complete, suggests that Gug function is important for memory retention through regulation of neuronal activity, and not by altering neurodevelopment. Our study provides a previously uncharacterized role for Gug as a possible regulator of neuronal plasticity at the interface of memory retention and memory extinction. Copyright © 2017 Kacsoh et al.

  17. STEM-based science learning implementation to identify student’s personal intelligences profiles

    Science.gov (United States)

    Wiguna, B. J. P. K.; Suwarma, I. R.; Liliawati, W.

    2018-05-01

    Science and technology are rapidly developing needs to be balanced with the human resources that have the qualified ability. Not only cognitive ability, but also have the soft skills that support 21st century skills. Science, Technology, Engineering, and Mathematics (STEM) Education is a solution to improve the quality of learning and prepare students may be able to trained 21st century skills. This study aims to analyse the implementation of STEM-based science learning on Newton’s law of motion by identifying the personal intelligences profile junior high school students. The method used in this research is pre experiment with the design of the study one group pre-test post-test. Samples in this study were 26 junior high school students taken using Convenience Sampling. Students personal intelligences profile after learning STEM-based science uses two instruments, self-assessment and peer assessment. Intrapersonal intelligence profile based self-assessment and peer assessment are respectively 69.38; and 64.08. As for interpersonal intelligence for self-assessment instrument is 73 and the peer assessment is 60.23.

  18. Identifying Features of Bodily Expression As Indicators of Emotional Experience during Multimedia Learning

    Directory of Open Access Journals (Sweden)

    Valentin Riemer

    2017-07-01

    Full Text Available The importance of emotions experienced by learners during their interaction with multimedia learning systems, such as serious games, underscores the need to identify sources of information that allow the recognition of learners’ emotional experience without interrupting the learning process. Bodily expression is gaining in attention as one of these sources of information. However, to date, the question of how bodily expression can convey different emotions has largely been addressed in research relying on acted emotion displays. Following a more contextualized approach, the present study aims to identify features of bodily expression (i.e., posture and activity of the upper body and the head that relate to genuine emotional experience during interaction with a serious game. In a multimethod approach, 70 undergraduates played a serious game relating to financial education while their bodily expression was captured using an off-the-shelf depth-image sensor (Microsoft Kinect. In addition, self-reports of experienced enjoyment, boredom, and frustration were collected repeatedly during gameplay, to address the dynamic changes in emotions occurring in educational tasks. Results showed that, firstly, the intensities of all emotions indeed changed significantly over the course of the game. Secondly, by using generalized estimating equations, distinct features of bodily expression could be identified as significant indicators for each emotion under investigation. A participant keeping their head more turned to the right was positively related to frustration being experienced, whereas keeping their head more turned to the left was positively related to enjoyment. Furthermore, having their upper body positioned more closely to the gaming screen was also positively related to frustration. Finally, increased activity of a participant’s head emerged as a significant indicator of boredom being experienced. These results confirm the value of bodily

  19. Learning Essential Terms and Concepts in Statistics and Accounting

    Science.gov (United States)

    Peters, Pam; Smith, Adam; Middledorp, Jenny; Karpin, Anne; Sin, Samantha; Kilgore, Alan

    2014-01-01

    This paper describes a terminological approach to the teaching and learning of fundamental concepts in foundation tertiary units in Statistics and Accounting, using an online dictionary-style resource (TermFinder) with customised "termbanks" for each discipline. Designed for independent learning, the termbanks support inquiring students…

  20. A machine learning-based framework to identify type 2 diabetes through electronic health records.

    Science.gov (United States)

    Zheng, Tao; Xie, Wei; Xu, Liling; He, Xiaoying; Zhang, Ya; You, Mingrong; Yang, Gong; Chen, You

    2017-01-01

    To discover diverse genotype-phenotype associations affiliated with Type 2 Diabetes Mellitus (T2DM) via genome-wide association study (GWAS) and phenome-wide association study (PheWAS), more cases (T2DM subjects) and controls (subjects without T2DM) are required to be identified (e.g., via Electronic Health Records (EHR)). However, existing expert based identification algorithms often suffer in a low recall rate and could miss a large number of valuable samples under conservative filtering standards. The goal of this work is to develop a semi-automated framework based on machine learning as a pilot study to liberalize filtering criteria to improve recall rate with a keeping of low false positive rate. We propose a data informed framework for identifying subjects with and without T2DM from EHR via feature engineering and machine learning. We evaluate and contrast the identification performance of widely-used machine learning models within our framework, including k-Nearest-Neighbors, Naïve Bayes, Decision Tree, Random Forest, Support Vector Machine and Logistic Regression. Our framework was conducted on 300 patient samples (161 cases, 60 controls and 79 unconfirmed subjects), randomly selected from 23,281 diabetes related cohort retrieved from a regional distributed EHR repository ranging from 2012 to 2014. We apply top-performing machine learning algorithms on the engineered features. We benchmark and contrast the accuracy, precision, AUC, sensitivity and specificity of classification models against the state-of-the-art expert algorithm for identification of T2DM subjects. Our results indicate that the framework achieved high identification performances (∼0.98 in average AUC), which are much higher than the state-of-the-art algorithm (0.71 in AUC). Expert algorithm-based identification of T2DM subjects from EHR is often hampered by the high missing rates due to their conservative selection criteria. Our framework leverages machine learning and feature

  1. Semi-Supervised Learning to Identify UMLS Semantic Relations.

    Science.gov (United States)

    Luo, Yuan; Uzuner, Ozlem

    2014-01-01

    The UMLS Semantic Network is constructed by experts and requires periodic expert review to update. We propose and implement a semi-supervised approach for automatically identifying UMLS semantic relations from narrative text in PubMed. Our method analyzes biomedical narrative text to collect semantic entity pairs, and extracts multiple semantic, syntactic and orthographic features for the collected pairs. We experiment with seeded k-means clustering with various distance metrics. We create and annotate a ground truth corpus according to the top two levels of the UMLS semantic relation hierarchy. We evaluate our system on this corpus and characterize the learning curves of different clustering configuration. Using KL divergence consistently performs the best on the held-out test data. With full seeding, we obtain macro-averaged F-measures above 70% for clustering the top level UMLS relations (2-way), and above 50% for clustering the second level relations (7-way).

  2. Problem-based learning on quantitative analytical chemistry course

    Science.gov (United States)

    Fitri, Noor

    2017-12-01

    This research applies problem-based learning method on chemical quantitative analytical chemistry, so called as "Analytical Chemistry II" course, especially related to essential oil analysis. The learning outcomes of this course include aspects of understanding of lectures, the skills of applying course materials, and the ability to identify, formulate and solve chemical analysis problems. The role of study groups is quite important in improving students' learning ability and in completing independent tasks and group tasks. Thus, students are not only aware of the basic concepts of Analytical Chemistry II, but also able to understand and apply analytical concepts that have been studied to solve given analytical chemistry problems, and have the attitude and ability to work together to solve the problems. Based on the learning outcome, it can be concluded that the problem-based learning method in Analytical Chemistry II course has been proven to improve students' knowledge, skill, ability and attitude. Students are not only skilled at solving problems in analytical chemistry especially in essential oil analysis in accordance with local genius of Chemistry Department, Universitas Islam Indonesia, but also have skilled work with computer program and able to understand material and problem in English.

  3. Autodesk Inventor 2012 and Inventor LT 2012 Essentials

    CERN Document Server

    Tremblay, Thom

    2011-01-01

    Essential guide to learning Autodesk Inventor and Inventor LT The new Essentials books from Sybex are beautiful, task-based, full-color Autodesk Official Training Guides that help you get up to speed on Autodesk topics quickly and easily. Inventor Essentials thoroughly covers core features and functions of Autodesk's industry-leading 3D mechanical design software, teaching you what you need to become quickly productive with the software. By following the book's clear explanations, practical tutorials, and step-by-step exercises, you'll cover all the bases. Topics include drawing, modeling part

  4. Identifying the Goal, User model and Conditions of Recommender Systems for Formal and Informal Learning

    NARCIS (Netherlands)

    Drachsler, Hendrik; Hummel, Hans; Koper, Rob

    2008-01-01

    Drachsler, H., Hummel, H. G. K., & Koper, R. (2009). Identifying the Goal, User model and Conditions of Recommender Systems for Formal and Informal Learning. Journal of Digital Information, 10(2), 4-24.

  5. Essential Features of Serious Games Design in Higher Education: Linking Learning Attributes to Game Mechanics

    Science.gov (United States)

    Lameras, Petros; Arnab, Sylvester; Dunwell, Ian; Stewart, Craig; Clarke, Samantha; Petridis, Panagiotis

    2017-01-01

    This paper consolidates evidence and material from a range of specialist and disciplinary fields to provide an evidence-based review and synthesis on the design and use of serious games in higher education. Search terms identified 165 papers reporting conceptual and empirical evidence on how learning attributes and game mechanics may be planned,…

  6. Learning outcomes between Socioscientific Issues-Based Learning and Conventional Learning Activities

    OpenAIRE

    Piyaluk Wongsri; Prasart Nuangchalerm

    2010-01-01

    Problem statement: Socioscientific issues-based learning activity is essential for scientific reasoning skills and it could be used for analyzing problems be applied to each situation for more successful and suitable. The purposes of this research aimed to compare learning achievement, analytical thinking and moral reasoning of seventh grade students who were organized between socioscientific issues-based learning and conventional learning activities. Approach: The samples used in research we...

  7. Urban High School Teachers' Beliefs Concerning Essential Science Teaching Dispositions

    Science.gov (United States)

    Miranda, Rommel

    2012-01-01

    This qualitative study addresses the link between urban high school science teachers' beliefs about essential teaching dispositions and student learning outcomes. The findings suggest that in order to help students to do well in science in urban school settings, science teachers should possess essential teaching dispositions which include…

  8. Social Learning Network Analysis Model to Identify Learning Patterns Using Ontology Clustering Techniques and Meaningful Learning

    Science.gov (United States)

    Firdausiah Mansur, Andi Besse; Yusof, Norazah

    2013-01-01

    Clustering on Social Learning Network still not explored widely, especially when the network focuses on e-learning system. Any conventional methods are not really suitable for the e-learning data. SNA requires content analysis, which involves human intervention and need to be carried out manually. Some of the previous clustering techniques need…

  9. A CRISPR-Based Screen Identifies Genes Essential for West-Nile-Virus-Induced Cell Death.

    Science.gov (United States)

    Ma, Hongming; Dang, Ying; Wu, Yonggan; Jia, Gengxiang; Anaya, Edgar; Zhang, Junli; Abraham, Sojan; Choi, Jang-Gi; Shi, Guojun; Qi, Ling; Manjunath, N; Wu, Haoquan

    2015-07-28

    West Nile virus (WNV) causes an acute neurological infection attended by massive neuronal cell death. However, the mechanism(s) behind the virus-induced cell death is poorly understood. Using a library containing 77,406 sgRNAs targeting 20,121 genes, we performed a genome-wide screen followed by a second screen with a sub-library. Among the genes identified, seven genes, EMC2, EMC3, SEL1L, DERL2, UBE2G2, UBE2J1, and HRD1, stood out as having the strongest phenotype, whose knockout conferred strong protection against WNV-induced cell death with two different WNV strains and in three cell lines. Interestingly, knockout of these genes did not block WNV replication. Thus, these appear to be essential genes that link WNV replication to downstream cell death pathway(s). In addition, the fact that all of these genes belong to the ER-associated protein degradation (ERAD) pathway suggests that this might be the primary driver of WNV-induced cell death. Copyright © 2015 The Authors. Published by Elsevier Inc. All rights reserved.

  10. Effect of Modifying Intervention Set Size with Acquisition Rate Data among Students Identified with a Learning Disability

    Science.gov (United States)

    Haegele, Katherine; Burns, Matthew K.

    2015-01-01

    The amount of information that students can successfully learn and recall at least 1 day later is called an acquisition rate (AR) and is unique to the individual student. The current study extended previous drill rehearsal research with word recognition by (a) using students identified with a learning disability in reading, (b) assessing set sizes…

  11. Interim Stabilization Equipment Essential and Support Drawing Plan

    International Nuclear Information System (INIS)

    KOCH, M.R.

    1999-01-01

    The purpose of this document is to list the Interim Stabilization equipment drawings that are classified as Essential or Support drawings. Essential Drawings: Those drawings identified by the facility staff as necessary to directly support the safe operation of the facility or equipment. Support Drawings: Those drawings identified by the facility staff that further describe the design details of structures, systems or components shown on essential drawings

  12. Identifying Hierarchical and Overlapping Protein Complexes Based on Essential Protein-Protein Interactions and “Seed-Expanding” Method

    Directory of Open Access Journals (Sweden)

    Jun Ren

    2014-01-01

    Full Text Available Many evidences have demonstrated that protein complexes are overlapping and hierarchically organized in PPI networks. Meanwhile, the large size of PPI network wants complex detection methods have low time complexity. Up to now, few methods can identify overlapping and hierarchical protein complexes in a PPI network quickly. In this paper, a novel method, called MCSE, is proposed based on λ-module and “seed-expanding.” First, it chooses seeds as essential PPIs or edges with high edge clustering values. Then, it identifies protein complexes by expanding each seed to a λ-module. MCSE is suitable for large PPI networks because of its low time complexity. MCSE can identify overlapping protein complexes naturally because a protein can be visited by different seeds. MCSE uses the parameter λ_th to control the range of seed expanding and can detect a hierarchical organization of protein complexes by tuning the value of λ_th. Experimental results of S. cerevisiae show that this hierarchical organization is similar to that of known complexes in MIPS database. The experimental results also show that MCSE outperforms other previous competing algorithms, such as CPM, CMC, Core-Attachment, Dpclus, HC-PIN, MCL, and NFC, in terms of the functional enrichment and matching with known protein complexes.

  13. Commercial Foods and Culinary Arts. Student Learning Guides.

    Science.gov (United States)

    Ridge Vocational-Technical Center, Winter Haven, FL.

    These 13 learning guides are self-instructional packets for 13 tasks identified as essential for performance on an entry-level job in commercial foods and culinary arts. Each guide is based on a terminal performance objective (task) and 1-4 enabling objectives. For each enabling objective, some or all of these materials may be presented: learning…

  14. Learning analytics fundaments, applications, and trends : a view of the current state of the art to enhance e-learning

    CERN Document Server

    2017-01-01

    This book provides a conceptual and empirical perspective on learning analytics, its goal being to disseminate the core concepts, research, and outcomes of this emergent field. Divided into nine chapters, it offers reviews oriented on selected topics, recent advances, and innovative applications. It presents the broad learning analytics landscape and in-depth studies on higher education, adaptive assessment, teaching and learning. In addition, it discusses valuable approaches to coping with personalization and huge data, as well as conceptual topics and specialized applications that have shaped the current state of the art. By identifying fundamentals, highlighting applications, and pointing out current trends, the book offers an essential overview of learning analytics to enhance learning achievement in diverse educational settings. As such, it represents a valuable resource for researchers, practitioners, and students interested in updating their knowledge and finding inspirations for their future work.

  15. North Dakota Native American Essential Understandings

    Science.gov (United States)

    North Dakota Department of Public Instruction, 2015

    2015-01-01

    In the spring of 2015, the North Dakota Department of Public Instruction brought together tribal Elders from across North Dakota to share stories, memories, songs, and wisdom in order to develop the North Dakota Native American Essential Understandings (NDNAEU) to guide the learning of both Native and non-Native students across the state. They…

  16. Designing an Adaptive Web-Based Learning System Based on Students' Cognitive Styles Identified Online

    Science.gov (United States)

    Lo, Jia-Jiunn; Chan, Ya-Chen; Yeh, Shiou-Wen

    2012-01-01

    This study developed an adaptive web-based learning system focusing on students' cognitive styles. The system is composed of a student model and an adaptation model. It collected students' browsing behaviors to update the student model for unobtrusively identifying student cognitive styles through a multi-layer feed-forward neural network (MLFF).…

  17. A Reinforcement-Based Learning Paradigm Increases Anatomical Learning and Retention-A Neuroeducation Study.

    Science.gov (United States)

    Anderson, Sarah J; Hecker, Kent G; Krigolson, Olave E; Jamniczky, Heather A

    2018-01-01

    In anatomy education, a key hurdle to engaging in higher-level discussion in the classroom is recognizing and understanding the extensive terminology used to identify and describe anatomical structures. Given the time-limited classroom environment, seeking methods to impart this foundational knowledge to students in an efficient manner is essential. Just-in-Time Teaching (JiTT) methods incorporate pre-class exercises (typically online) meant to establish foundational knowledge in novice learners so subsequent instructor-led sessions can focus on deeper, more complex concepts. Determining how best do we design and assess pre-class exercises requires a detailed examination of learning and retention in an applied educational context. Here we used electroencephalography (EEG) as a quantitative dependent variable to track learning and examine the efficacy of JiTT activities to teach anatomy. Specifically, we examined changes in the amplitude of the N250 and reward positivity event-related brain potential (ERP) components alongside behavioral performance as novice students participated in a series of computerized reinforcement-based learning modules to teach neuroanatomical structures. We found that as students learned to identify anatomical structures, the amplitude of the N250 increased and reward positivity amplitude decreased in response to positive feedback. Both on a retention and transfer exercise when learners successfully remembered and translated their knowledge to novel images, the amplitude of the reward positivity remained decreased compared to early learning. Our findings suggest ERPs can be used as a tool to track learning, retention, and transfer of knowledge and that employing the reinforcement learning paradigm is an effective educational approach for developing anatomical expertise.

  18. AutoCAD Civil 3D 2014 essentials

    CERN Document Server

    Chappell, Eric

    2013-01-01

    Quickly learn essential Civil 3D tools and techniques Get a thorough introduction to AutoCAD Civil 3D, the industry-leading engineering software used to design roads, highways, subdivisions, drainage and sewer systems, and more. This Autodesk Official Press book is a unique learning resource that features concise, straightforward explanations and real-world, hands-on exercises and tutorials. With compelling full-color screenshots and approachable exercises that demonstrate core features and functions, the book helps you gain understanding and confidence as you master this premiere

  19. Interim Stabilization Equipment Essential and Support Drawing Plan

    International Nuclear Information System (INIS)

    HORNER, T.M.

    2000-01-01

    The purpose of this document is to list the Interim Stabilization equipment drawings that are classified as Essential or Support drawings. Essential Drawings are those drawings identified by the facility staff as necessary to directly support the safe operation of the facility or equipment. [CHG 2000a]. Support Drawings are those drawings identified by the facility staff that further describe the design details of structures, systems or components shown on essential drawings. [CHG 2000a

  20. The essential guide to metadata for books

    CERN Document Server

    Register, Renee

    2013-01-01

    In The Essential Guide to Metadata for Books, you will learn exactly what you need to know to effectively generate, handle and disseminate metadata for books and ebooks. This comprehensive but digestible document will explain the life-cycle of book metadata, industry standards, XML, ONIX and the essential elements of metadata. It will also show you how effective, well-organized metadata can improve your efforts to sell a book, especially when it comes to marketing, discoverability and converting at the point of sale. This information-packed document also includes a glossary of terms

  1. Essential Medicines in National Constitutions

    Science.gov (United States)

    Toebes, Brigit; Hogerzeil, Hans

    2016-01-01

    Abstract A constitutional guarantee of access to essential medicines has been identified as an important indicator of government commitment to the progressive realization of the right to the highest attainable standard of health. The objective of this study was to evaluate provisions on access to essential medicines in national constitutions, to identify comprehensive examples of constitutional text on medicines that can be used as a model for other countries, and to evaluate the evolution of constitutional medicines-related rights since 2008. Relevant articles were selected from an inventory of constitutional texts from WHO member states. References to states’ legal obligations under international human rights law were evaluated. Twenty-two constitutions worldwide now oblige governments to protect and/or to fulfill accessibility of, availability of, and/or quality of medicines. Since 2008, state responsibilities to fulfill access to essential medicines have expanded in five constitutions, been maintained in four constitutions, and have regressed in one constitution. Government commitments to essential medicines are an important foundation of health system equity and are included increasingly in state constitutions. PMID:27781006

  2. Learning to Promote Health at an Emergency Care Department: Identifying Expansive and Restrictive Conditions

    Science.gov (United States)

    Gustavsson, Maria; Ekberg, Kerstin

    2015-01-01

    This article reports on the findings of a planned workplace health promotion intervention, and the aim is to identify conditions that facilitated or restricted the learning to promote health at an emergency care department in a Swedish hospital. The study had a longitudinal design, with interviews before and after the intervention and follow-up…

  3. Islam Is Essential for General Education

    Science.gov (United States)

    Meacham, Jack

    2015-01-01

    The religion of Islam is often portrayed with false and negative stereotypes. If we expect our students to understand and participate in the global world and to be informed and engaged citizens in a democratic America, then it is essential that they develop a basic and sound understanding of Islam. Furthermore, learning about Islam can facilitate…

  4. Shifting the Focus to Student Learning: Characteristics of Effective Teaching Practice As Identified by Experienced Pre-service Faculty Advisors

    Directory of Open Access Journals (Sweden)

    Nancy Maynes

    2012-11-01

    Full Text Available Cochrane-Smith and Power identify trends in teacher education programs with some relating to heightened teacher accountability for students’ learning. In this paper we provide a model that identifies characteristics believed to be critical elements related to a teacher’s conceptual focus shifting from an emphasis on their teaching to their students’ learning and we have grounded these characteristics in current educational research. Through focus group inquiry, we have identified those teacher characteristics thought to account for effective teaching practice. These characteristics include: a professional growth perspective, passion and enthusiasm for the  content, pedagogical content knowledge, a rich instructional repertoire of strategies, awareness of assessment for, as, and of learning, ability to read the body language  of the learner, caring classroom management strategies, and instructional efforts (e.g., social justice. Our research data provide a conceptual framework for further study.

  5. Identifying Student Types in a Gamified Learning Experience

    Science.gov (United States)

    Barata, Gabriel; Gama, Sandra; Jorge, Joaquim; Gonçalves, Daniel

    2014-01-01

    Gamification of education is a recent trend, and early experiments showed promising results. Students seem not only to perform better, but also to participate more and to feel more engaged with gamified learning. However, little is known regarding how different students are affected by gamification and how their learning experience may vary. In…

  6. Digital Games and Learning: Identifying Pathways of Influence

    Science.gov (United States)

    Subrahmanyam, Kaveri; Renukarya, Bhavya

    2015-01-01

    Digital games and gamelike contexts have become an integral part of young people's lives, and scholars have speculated about their potential to engage and enhance children's learning. Given that digital games are complex systems, we propose that different aspects of game features and game play might influence learning in different ways. Drawing on…

  7. Autodesk Robot Structural Analysis Professional 2016 essentials

    CERN Document Server

    Marsh, Ken

    2016-01-01

    Autodesk Robot Structural Analysis Professional 2016 - Essentials is an excellent introduction to the essential features, functions, and workflows of Autodesk Robot Structural Analysis Professional. Master the tools you will need to make Robot work for you: Go from zero to proficiency with this thorough and detailed introduction to the essential concepts and workflows of Robot Structural Analysis Professional 2016. - Demystify the interface - Manipulate and manage Robot tables like a pro - Learn how to use Robot's modeling tools - Master loading techniques - Harness Robot automated load combinations - Decipher simplified seismic loading - Discover workflows for steel and concrete design - Gain insights to help troubleshoot issues Guided exercises are provided to help cement fundamental concepts in Robot Structural Analysis and drive home key functions. Get up to speed quickly with this essential text and add Robot Structural Analysis Professional 2016 to your analysis and design toolbox. New in 2016: AWC-NDS ...

  8. Identifying predictive features in drug response using machine learning: opportunities and challenges.

    Science.gov (United States)

    Vidyasagar, Mathukumalli

    2015-01-01

    This article reviews several techniques from machine learning that can be used to study the problem of identifying a small number of features, from among tens of thousands of measured features, that can accurately predict a drug response. Prediction problems are divided into two categories: sparse classification and sparse regression. In classification, the clinical parameter to be predicted is binary, whereas in regression, the parameter is a real number. Well-known methods for both classes of problems are briefly discussed. These include the SVM (support vector machine) for classification and various algorithms such as ridge regression, LASSO (least absolute shrinkage and selection operator), and EN (elastic net) for regression. In addition, several well-established methods that do not directly fall into machine learning theory are also reviewed, including neural networks, PAM (pattern analysis for microarrays), SAM (significance analysis for microarrays), GSEA (gene set enrichment analysis), and k-means clustering. Several references indicative of the application of these methods to cancer biology are discussed.

  9. Contemporary Issues in Group Learning in Undergraduate Science Classrooms: A Perspective from Student Engagement.

    Science.gov (United States)

    Hodges, Linda C

    2018-06-01

    As the use of collaborative-learning methods such as group work in science, technology, engineering, and mathematics classes has grown, so has the research into factors impacting effectiveness, the kinds of learning engendered, and demographic differences in student response. Generalizing across the range of this research is complicated by the diversity of group-learning approaches used. In this overview, I discuss theories of how group-work formats support or hinder learning based on the ICAP (interactive, constructive, active, passive) framework of student engagement. I then use this model to analyze current issues in group learning, such as the nature of student discourse during group work, the role of group learning in making our classrooms inclusive, and how classroom spaces factor into group learning. I identify key gaps for further research and propose implications from this research for teaching practice. This analysis helps identify essential, effective, and efficient features of group learning, thus providing faculty with constructive guidelines to support their work and affirm their efforts.

  10. What can machine learning do for antimicrobial peptides, and what can antimicrobial peptides do for machine learning?

    Science.gov (United States)

    Lee, Ernest Y; Lee, Michelle W; Fulan, Benjamin M; Ferguson, Andrew L; Wong, Gerard C L

    2017-12-06

    Antimicrobial peptides (AMPs) are a diverse class of well-studied membrane-permeating peptides with important functions in innate host defense. In this short review, we provide a historical overview of AMPs, summarize previous applications of machine learning to AMPs, and discuss the results of our studies in the context of the latest AMP literature. Much work has been recently done in leveraging computational tools to design new AMP candidates with high therapeutic efficacies for drug-resistant infections. We show that machine learning on AMPs can be used to identify essential physico-chemical determinants of AMP functionality, and identify and design peptide sequences to generate membrane curvature. In a broader scope, we discuss the implications of our findings for the discovery of membrane-active peptides in general, and uncovering membrane activity in new and existing peptide taxonomies.

  11. [Chemical components from essential oil of Pandanus amaryllifolius leaves].

    Science.gov (United States)

    Chen, Xiao-Kai; Ge, Fa-Huan

    2014-04-01

    To analyze the chemical compositions of Pandanus amaryllifolius leaves essential oil extracted by steam distillation. The essential oil of Pandanus amaryllifolius leaves was analyzed by gas chromatography-mass spectrum, and the relative content of each component was determined by area normalization method. 128 peaks were separated and 95 compounds were identified, which weighed 97.75%. The main chemical components of the essential oil were phytol (42.15%), squalene (16.81%), what's more pentadecanal (6.17%), pentadecanoic acid (4.49%), 3, 7, 11, 15-tetramethyl-2-hexadecen-1-ol (3.83%), phytone (2.05%) and the other 74 chemical compositions were firstly identified from the essential oil of Pandanus amaryllifolius leaves. The chemical compositions of Pandanu samaryllifolius leaves essential oil was systematically, deeply isolated and identified for the first time. This experiment has provided scientific foundation for further utilization of Pandanus amaryllifolius leaves.

  12. Identifying Opportunities for Peer Learning: An Observational Study of Medical Students on Clinical Placements.

    Science.gov (United States)

    Tai, Joanna H; Canny, Benedict J; Haines, Terry P; Molloy, Elizabeth K

    2017-01-01

    Phenomenon: Peer assisted learning (PAL) is frequently employed and researched in preclinical medical education. Fewer studies have examined PAL in the clinical context: These have focused mainly on the accuracy of peer assessment and potential benefits to learner communication and teamwork skills. Research has also examined the positive and negative effects of formal, structured PAL activities in the clinical setting. Given the prevalence of PAL activities during preclinical years, and the unstructured nature of clinical placements, it is likely that nonformal PAL activities are also undertaken. How PAL happens formally and informally and why students find PAL useful in this clinical setting remain poorly understood. This study aimed to describe PAL activities within the context of clinical placement learning and to explore students' perceptions of these activities. An ethnographic study was conducted to gather empirical data on engagement in clinical placement learning activities, including observations and interviews with students in their 1st clinical year, along with their supervising clinicians. Thematic analysis was used to interrogate the data. On average, students used PAL for 5.19 hours per week in a range of activities, of a total of 29.29 hours undertaking placements. PAL was recognized as a means of vicarious learning and had greater perceived value when an educator was present to guide or moderate the learning. Trust between students was seen as a requirement for PAL to be effective. Students found passive observation a barrier to PAL and were able to identify ways to adopt an active stance when observing peers interacting with patients. For example, learners reported that the expectation that they had to provide feedback to peers after task observation, resulted in them taking on a more critical gaze where they were encouraged to consider notions of good practice. Insights: Students use PAL in formal (i.e., tutorial) and nonformal (e.g., peer

  13. Transformative Learning: Personal Empowerment in Learning Mathematics

    Science.gov (United States)

    Hassi, Marja-Liisa; Laursen, Sandra L.

    2015-01-01

    This article introduces the concept of personal empowerment as a form of transformative learning. It focuses on commonly ignored but enhancing elements of mathematics learning and argues that crucial personal resources can be essentially promoted by high engagement in mathematical problem solving, inquiry, and collaboration. This personal…

  14. Fostering Topic Knowledge: Essential for Academic Writing

    Science.gov (United States)

    Proske, Antje; Kapp, Felix

    2013-01-01

    Several researchers emphasize the role of the writer's topic knowledge for writing. In academic writing topic knowledge is often constructed by studying source texts. One possibility to support that essential phase of the writing process is to provide interactive learning questions which facilitate the construction of an adequate situation…

  15. The Value of Identifying and Recovering Lost GN&C Lessons Learned: Aeronautical, Spacecraft, and Launch Vehicle Examples

    Science.gov (United States)

    Dennehy, Cornelius J.; Labbe, Steve; Lebsock, Kenneth L.

    2010-01-01

    Within the broad aerospace community the importance of identifying, documenting and widely sharing lessons learned during system development, flight test, operational or research programs/projects is broadly acknowledged. Documenting and sharing lessons learned helps managers and engineers to minimize project risk and improve performance of their systems. Often significant lessons learned on a project fail to get captured even though they are well known 'tribal knowledge' amongst the project team members. The physical act of actually writing down and documenting these lessons learned for the next generation of NASA GN&C engineers fails to happen on some projects for various reasons. In this paper we will first review the importance of capturing lessons learned and then will discuss reasons why some lessons are not documented. A simple proven approach called 'Pause and Learn' will be highlighted as a proven low-impact method of organizational learning that could foster the timely capture of critical lessons learned. Lastly some examples of 'lost' GN&C lessons learned from the aeronautics, spacecraft and launch vehicle domains are briefly highlighted. In the context of this paper 'lost' refers to lessons that have not achieved broad visibility within the NASA-wide GN&C CoP because they are either undocumented, masked or poorly documented in the NASA Lessons Learned Information System (LLIS).

  16. The RISE Framework: Using Learning Analytics to Automatically Identify Open Educational Resources for Continuous Improvement

    Science.gov (United States)

    Bodily, Robert; Nyland, Rob; Wiley, David

    2017-01-01

    The RISE (Resource Inspection, Selection, and Enhancement) Framework is a framework supporting the continuous improvement of open educational resources (OER). The framework is an automated process that identifies learning resources that should be evaluated and either eliminated or improved. This is particularly useful in OER contexts where the…

  17. Identifying Keys to Success in Innovative Teaching: Student Engagement and Instructional Practices as Predictors of Student Learning in a Course Using a Team-Based Learning Approach

    Directory of Open Access Journals (Sweden)

    Rosa M. Alvarez-Bell

    2017-09-01

    Full Text Available When implementing innovative teaching techniques, instructors often seek to gauge the success of their methods. Proposing one approach to assessing classroom innovation, this study examines the ability of students’ ratings of engagement and instructional practices to predict their learning in a cooperative (team-based framework. After identifying the factor structures underlying measures of student engagement and instructional practices, these factors were used as predictors of self-reported student learning in a general chemistry course delivered using a team-based learning approach. Exploratory factor analyses showed a four-factor structure of engagement: teamwork involvement, investment in the learning process, feelings about team-based learning, level of academic challenge; and a three-factor structure of instructional practices: instructional guidance, fostering self-directed learning skills, and cognitive level. Multiple linear regression revealed that feelings about team-based learning and perceptions of instructional guidance had significant effects on learning, beyond other predictors, while controlling gender, GPA, class level, number of credit hours, whether students began college at their current institution, expected highest level of education, racial or ethnic identification, and parental level of education. These results yield insight into student perceptions about team-based learning, and how to measure learning in a team-based learning framework, with implications for how to evaluate innovative instructional methods.

  18. Energy Transformation: Teaching Youth about Energy Efficiency while Meeting Science Essential Standards

    Science.gov (United States)

    Kirby, Sarah D.; Chilcote, Amy G.

    2014-01-01

    This article describes the Energy Transformation 4-H school enrichment curriculum. The curriculum addresses energy efficiency and conservation while meeting sixth-grade science essential standards requirements. Through experiential learning, including building and testing a model home, youth learn the relationship between various technologies and…

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

    Science.gov (United States)

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

    2017-10-01

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

  20. Teaching and Learning Reflection in MPA Programs: Towards a Strategy

    Science.gov (United States)

    van der Meer, F. B.; Marks, P.

    2013-01-01

    Reflection is an essential ingredient of academic education in Public Administration, both for an academic and a professional career. Making a distinction between reflectivity and reflexivity we identify 30 foci of reflection. The main question of the article is how these forms of reflection can be taught and learned in PA programs, especially in…

  1. Effectively identifying compound-protein interactions by learning from positive and unlabeled examples.

    Science.gov (United States)

    Cheng, Zhanzhan; Zhou, Shuigeng; Wang, Yang; Liu, Hui; Guan, Jihong; Chen, Yi-Ping Phoebe

    2016-05-18

    Prediction of compound-protein interactions (CPIs) is to find new compound-protein pairs where a protein is targeted by at least a compound, which is a crucial step in new drug design. Currently, a number of machine learning based methods have been developed to predict new CPIs in the literature. However, as there is not yet any publicly available set of validated negative CPIs, most existing machine learning based approaches use the unknown interactions (not validated CPIs) selected randomly as the negative examples to train classifiers for predicting new CPIs. Obviously, this is not quite reasonable and unavoidably impacts the CPI prediction performance. In this paper, we simply take the unknown CPIs as unlabeled examples, and propose a new method called PUCPI (the abbreviation of PU learning for Compound-Protein Interaction identification) that employs biased-SVM (Support Vector Machine) to predict CPIs using only positive and unlabeled examples. PU learning is a class of learning methods that leans from positive and unlabeled (PU) samples. To the best of our knowledge, this is the first work that identifies CPIs using only positive and unlabeled examples. We first collect known CPIs as positive examples and then randomly select compound-protein pairs not in the positive set as unlabeled examples. For each CPI/compound-protein pair, we extract protein domains as protein features and compound substructures as chemical features, then take the tensor product of the corresponding compound features and protein features as the feature vector of the CPI/compound-protein pair. After that, biased-SVM is employed to train classifiers on different datasets of CPIs and compound-protein pairs. Experiments over various datasets show that our method outperforms six typical classifiers, including random forest, L1- and L2-regularized logistic regression, naive Bayes, SVM and k-nearest neighbor (kNN), and three types of existing CPI prediction models. Source code, datasets and

  2. A Reinforcement-Based Learning Paradigm Increases Anatomical Learning and Retention—A Neuroeducation Study

    Science.gov (United States)

    Anderson, Sarah J.; Hecker, Kent G.; Krigolson, Olave E.; Jamniczky, Heather A.

    2018-01-01

    In anatomy education, a key hurdle to engaging in higher-level discussion in the classroom is recognizing and understanding the extensive terminology used to identify and describe anatomical structures. Given the time-limited classroom environment, seeking methods to impart this foundational knowledge to students in an efficient manner is essential. Just-in-Time Teaching (JiTT) methods incorporate pre-class exercises (typically online) meant to establish foundational knowledge in novice learners so subsequent instructor-led sessions can focus on deeper, more complex concepts. Determining how best do we design and assess pre-class exercises requires a detailed examination of learning and retention in an applied educational context. Here we used electroencephalography (EEG) as a quantitative dependent variable to track learning and examine the efficacy of JiTT activities to teach anatomy. Specifically, we examined changes in the amplitude of the N250 and reward positivity event-related brain potential (ERP) components alongside behavioral performance as novice students participated in a series of computerized reinforcement-based learning modules to teach neuroanatomical structures. We found that as students learned to identify anatomical structures, the amplitude of the N250 increased and reward positivity amplitude decreased in response to positive feedback. Both on a retention and transfer exercise when learners successfully remembered and translated their knowledge to novel images, the amplitude of the reward positivity remained decreased compared to early learning. Our findings suggest ERPs can be used as a tool to track learning, retention, and transfer of knowledge and that employing the reinforcement learning paradigm is an effective educational approach for developing anatomical expertise. PMID:29467638

  3. A Reinforcement-Based Learning Paradigm Increases Anatomical Learning and Retention—A Neuroeducation Study

    Directory of Open Access Journals (Sweden)

    Sarah J. Anderson

    2018-02-01

    Full Text Available In anatomy education, a key hurdle to engaging in higher-level discussion in the classroom is recognizing and understanding the extensive terminology used to identify and describe anatomical structures. Given the time-limited classroom environment, seeking methods to impart this foundational knowledge to students in an efficient manner is essential. Just-in-Time Teaching (JiTT methods incorporate pre-class exercises (typically online meant to establish foundational knowledge in novice learners so subsequent instructor-led sessions can focus on deeper, more complex concepts. Determining how best do we design and assess pre-class exercises requires a detailed examination of learning and retention in an applied educational context. Here we used electroencephalography (EEG as a quantitative dependent variable to track learning and examine the efficacy of JiTT activities to teach anatomy. Specifically, we examined changes in the amplitude of the N250 and reward positivity event-related brain potential (ERP components alongside behavioral performance as novice students participated in a series of computerized reinforcement-based learning modules to teach neuroanatomical structures. We found that as students learned to identify anatomical structures, the amplitude of the N250 increased and reward positivity amplitude decreased in response to positive feedback. Both on a retention and transfer exercise when learners successfully remembered and translated their knowledge to novel images, the amplitude of the reward positivity remained decreased compared to early learning. Our findings suggest ERPs can be used as a tool to track learning, retention, and transfer of knowledge and that employing the reinforcement learning paradigm is an effective educational approach for developing anatomical expertise.

  4. Identifying Gatekeepers in Online Learning Networks

    Science.gov (United States)

    Gursakal, Necmi; Bozkurt, Aras

    2017-01-01

    The rise of the networked society has not only changed our perceptions but also the definitions, roles, processes and dynamics of online learning networks. From offline to online worlds, networks are everywhere and gatekeepers are an important entity in these networks. In this context, the purpose of this paper is to explore gatekeeping and…

  5. Preservation of Essential Odor-Guided Behaviors and Odor-Based Reversal Learning after Targeting Adult Brain Serotonin Synthesis.

    Science.gov (United States)

    Carlson, Kaitlin S; Whitney, Meredith S; Gadziola, Marie A; Deneris, Evan S; Wesson, Daniel W

    2016-01-01

    The neurotransmitter serotonin (5-HT) is considered a powerful modulator of sensory system organization and function in a wide range of animals. The olfactory system is innervated by midbrain 5-HT neurons into both its primary and secondary odor-processing stages. Facilitated by this circuitry, 5-HT and its receptors modulate olfactory system function, including odor information input to the olfactory bulb. It is unknown, however, whether the olfactory system requires 5-HT for even its most basic behavioral functions. To address this question, we established a conditional genetic approach to specifically target adult brain tryptophan hydroxylase 2 ( Tph2 ), encoding the rate-limiting enzyme in brain 5-HT synthesis, and nearly eliminate 5-HT from the mouse forebrain. Using this novel model, we investigated the behavior of 5-HT-depleted mice during performance in an olfactory go/no-go task. Surprisingly, the near elimination of 5-HT from the forebrain, including the olfactory bulbs, had no detectable effect on the ability of mice to perform the odor-based task. Tph2 -targeted mice not only were able to learn the task, but also had levels of odor acuity similar to those of control mice when performing coarse odor discrimination. Both groups of mice spent similar amounts of time sampling odors during decision-making. Furthermore, odor reversal learning was identical between 5-HT-depleted and control mice. These results suggest that 5-HT neurotransmission is not necessary for the most essential aspects of olfaction, including odor learning, discrimination, and certain forms of cognitive flexibility.

  6. Copyright for librarians the essential handbook

    CERN Document Server

    Berkman Center for Internet and Society

    2012-01-01

    "Copyright for Librarians" (CFL) is an online open curriculum on copyright law that was developed jointly with Harvard’s Berkman Center for Internet and Society. Re-designed as a brand new textbook, "Copyright for Librarians: the essential handbook" can be used as a stand-alone resource or as an adjunct to the online version which contains additional links and references for students who wish to pursue any topic in greater depth. Delve into copyright theory or explore enforcement. With a new index and a handy Glossary, the Handbook is essential reading for librarians who want to hone their skills in 2013, and for anyone learning about or teaching copyright law in the information field.

  7. Blended Learning

    Science.gov (United States)

    Imbriale, Ryan

    2013-01-01

    Teachers always have been and always will be the essential element in the classroom. They can create magic inside four walls, but they have never been able to create learning environments outside the classroom like they can today, thanks to blended learning. Blended learning allows students and teachers to break free of the isolation of the…

  8. Learning in the machine: The symmetries of the deep learning channel.

    Science.gov (United States)

    Baldi, Pierre; Sadowski, Peter; Lu, Zhiqin

    2017-11-01

    In a physical neural system, learning rules must be local both in space and time. In order for learning to occur, non-local information must be communicated to the deep synapses through a communication channel, the deep learning channel. We identify several possible architectures for this learning channel (Bidirectional, Conjoined, Twin, Distinct) and six symmetry challenges: (1) symmetry of architectures; (2) symmetry of weights; (3) symmetry of neurons; (4) symmetry of derivatives; (5) symmetry of processing; and (6) symmetry of learning rules. Random backpropagation (RBP) addresses the second and third symmetry, and some of its variations, such as skipped RBP (SRBP) address the first and the fourth symmetry. Here we address the last two desirable symmetries showing through simulations that they can be achieved and that the learning channel is particularly robust to symmetry variations. Specifically, random backpropagation and its variations can be performed with the same non-linear neurons used in the main input-output forward channel, and the connections in the learning channel can be adapted using the same algorithm used in the forward channel, removing the need for any specialized hardware in the learning channel. Finally, we provide mathematical results in simple cases showing that the learning equations in the forward and backward channels converge to fixed points, for almost any initial conditions. In symmetric architectures, if the weights in both channels are small at initialization, adaptation in both channels leads to weights that are essentially symmetric during and after learning. Biological connections are discussed. Copyright © 2017 Elsevier Ltd. All rights reserved.

  9. Autodesk Maya 2014 essentials

    CERN Document Server

    Naas, Paul

    2013-01-01

    The premiere book on getting started with Maya 2014 Whether you're just beginning, or migrating from another 3D application, this step-by-step guide is what you need to get a good working knowledge of Autodesk Maya 2014. Beautifully illustrated with full-color examples and screenshots, Autodesk Maya 2014 Essentials explains the basics of Maya as well as modeling, texturing, animating, setting a scene, and creating visual effects. You'll absorb important concepts and techniques, and learn how to confidently use Maya tools the way professionals do. Each chapter includes fun and cha

  10. Waste and Encapsulation Storage Facility (WESF) Essential and Support Drawing List

    International Nuclear Information System (INIS)

    SHANNON, W.R.

    1999-01-01

    Provides listing of Essential and Support Drawings for the Waste and Encapsulation Storage Facility. The drawings identified in this document will comprise the Waste Encapsulation and Storage Facility essential and support drawing list. This list will replace drawings identified as the ''WESF Essential and support drawing list''. Additionally, this document will follow the applicable requirements of HNF-PRO-242 Engineering Drawing Requirements'' and FSP-WESF-001, Section EN-1 ''Documenting Engineering Changes''. An essential drawing is defined as an engineering drawing identified by the facility staff as necessary to directly support the safe operation or maintenance of the facility. A support drawing is defined as a drawing identified by the facility staff that further describes the design details of structures, systems, or components shown on essential drawings or is frequently used by the support staff

  11. Identifying Human Phenotype Terms by Combining Machine Learning and Validation Rules

    Directory of Open Access Journals (Sweden)

    Manuel Lobo

    2017-01-01

    Full Text Available Named-Entity Recognition is commonly used to identify biological entities such as proteins, genes, and chemical compounds found in scientific articles. The Human Phenotype Ontology (HPO is an ontology that provides a standardized vocabulary for phenotypic abnormalities found in human diseases. This article presents the Identifying Human Phenotypes (IHP system, tuned to recognize HPO entities in unstructured text. IHP uses Stanford CoreNLP for text processing and applies Conditional Random Fields trained with a rich feature set, which includes linguistic, orthographic, morphologic, lexical, and context features created for the machine learning-based classifier. However, the main novelty of IHP is its validation step based on a set of carefully crafted manual rules, such as the negative connotation analysis, that combined with a dictionary can filter incorrectly identified entities, find missed entities, and combine adjacent entities. The performance of IHP was evaluated using the recently published HPO Gold Standardized Corpora (GSC, where the system Bio-LarK CR obtained the best F-measure of 0.56. IHP achieved an F-measure of 0.65 on the GSC. Due to inconsistencies found in the GSC, an extended version of the GSC was created, adding 881 entities and modifying 4 entities. IHP achieved an F-measure of 0.863 on the new GSC.

  12. MLS student active learning within a "cloud" technology program.

    Science.gov (United States)

    Tille, Patricia M; Hall, Heather

    2011-01-01

    In November 2009, the MLS program in a large public university serving a geographically large, sparsely populated state instituted an initiative for the integration of technology enhanced teaching and learning within the curriculum. This paper is intended to provide an introduction to the system requirements and sample instructional exercises used to create an active learning technology-based classroom. Discussion includes the following: 1.) define active learning and the essential components, 2.) summarize teaching methods, technology and exercises utilized within a "cloud" technology program, 3.) describe a "cloud" enhanced classroom and programming 4.) identify active learning tools and exercises that can be implemented into laboratory science programs, and 5.) describe the evaluation and assessment of curriculum changes and student outcomes. The integration of technology in the MLS program is a continual process and is intended to provide student-driven active learning experiences.

  13. Assessing the Performance of a Machine Learning Algorithm in Identifying Bubbles in Dust Emission

    Science.gov (United States)

    Xu, Duo; Offner, Stella S. R.

    2017-12-01

    Stellar feedback created by radiation and winds from massive stars plays a significant role in both physical and chemical evolution of molecular clouds. This energy and momentum leaves an identifiable signature (“bubbles”) that affects the dynamics and structure of the cloud. Most bubble searches are performed “by eye,” which is usually time-consuming, subjective, and difficult to calibrate. Automatic classifications based on machine learning make it possible to perform systematic, quantifiable, and repeatable searches for bubbles. We employ a previously developed machine learning algorithm, Brut, and quantitatively evaluate its performance in identifying bubbles using synthetic dust observations. We adopt magnetohydrodynamics simulations, which model stellar winds launching within turbulent molecular clouds, as an input to generate synthetic images. We use a publicly available three-dimensional dust continuum Monte Carlo radiative transfer code, HYPERION, to generate synthetic images of bubbles in three Spitzer bands (4.5, 8, and 24 μm). We designate half of our synthetic bubbles as a training set, which we use to train Brut along with citizen-science data from the Milky Way Project (MWP). We then assess Brut’s accuracy using the remaining synthetic observations. We find that Brut’s performance after retraining increases significantly, and it is able to identify yellow bubbles, which are likely associated with B-type stars. Brut continues to perform well on previously identified high-score bubbles, and over 10% of the MWP bubbles are reclassified as high-confidence bubbles, which were previously marginal or ambiguous detections in the MWP data. We also investigate the influence of the size of the training set, dust model, evolutionary stage, and background noise on bubble identification.

  14. Learning environments matter: Identifying influences on the ...

    African Journals Online (AJOL)

    Hennie

    The students completed the Student Motivation for Science Learning questionnaire. ... (1999), which gave the South African education system the opportunity to benchmark mathematics and .... petition and rewards (Ramnarain, 2013; Vedder-.

  15. Identifying and Supporting English Learner Students with Learning Disabilities: Key Issues in the Literature and State Practice. REL 2015-086

    Science.gov (United States)

    Burr, Elizabeth; Haas, Eric; Ferriere, Karen

    2015-01-01

    While the literature on learning disabilities and on second-language acquisition is relatively extensive within the field of education, less is known about the specific characteristics and representation of English learner students with learning disabilities. Because there are no definitive resources and processes for identifying and determining…

  16. An array of Escherichia coli clones over-expressing essential proteins: A new strategy of identifying cellular targets of potent antibacterial compounds

    International Nuclear Information System (INIS)

    Xu, H. Howard; Real, Lilian; Bailey, Melissa Wu

    2006-01-01

    With the advancement of high throughput screening, it has become easier and faster to discover hit compounds that inhibit proliferation of bacterial cells. However, development in technologies used to identify cellular targets of potent antibacterial inhibitors has lagged behind. Here, we describe a novel strategy of target identification for antibacterial inhibitors using an array of Escherichia coli clones each over-expressing one essential protein. In a proof-of-concept study, eight essential genes were cloned into pLex5BA vector under the control of an inducible promoter. Over-expression of target proteins was confirmed. For two clones, one over-expressing FabI and the other over-expressing MurA enzymes, the host cells became 17- and 139-fold more resistant to the specific inhibitors triclosan and phosphomycin, respectively, while the susceptibility of other clones towards these inhibitors remained unchanged after induction of gene expression. Target identification via target protein over-expression was demonstrated using both mixed clone and individual clone assay formats

  17. Essentials of University Strategy Development in the Field of Lifelong Learning

    Directory of Open Access Journals (Sweden)

    Alina Irina POPESCU

    2012-06-01

    Full Text Available The process of strategy development reflects, in any organisation, the clarity of the purpose of the organisation’s mere existence. Although many organisations may decide ‘to go with the flow’, in the current economic context it is advisable that organisations, including higher education institutions, go through a thorough strategy development process. The lifelong learning approach brings a shift in the paradigm of education, and was considered to be the manner in which individuals get educated in the knowledge-based society. The most active players in the higher education market embraced this approach by developing lifelong learning strategies, either separated or incorporated in the overall university strategy. In this context, the study presents guidelines for the development of strategies in universities, and attempts to investigate to which extent three public universities representative for different regions of Romania have embraced the lifelong learning approach in their university strategies so far. The investigation uses the framework of the principles of university lifelong learning presented in the Universities‘ Charter on Lifelong Learning (2008.

  18. Competence Description for Personal Recommendations: The Importance of Identifying the Complexity of Learning and Performance Situations

    Science.gov (United States)

    Prins, Frans J.; Nadolski, Rob J.; Berlanga, Adriana J.; Drachsler, Hendrik; Hummel, Hans G. K.; Koper, Rob

    2008-01-01

    For competences development of learners and professionals, target competences and corresponding competence development opportunities have to be identified. Personal Recommender Systems (PRS) provide personal recommendations for learners aimed at finding and selecting learning activities that best match their needs. This article argues that a…

  19. Waste and Encapsulation Storage Facility (WESF) Essential and Support Drawing List

    International Nuclear Information System (INIS)

    SHANNON, W.R.

    1999-01-01

    This supporting document provides a detailed list of the Essential and Support drawing for the Waste and Storage Encapsulation Facility. The drawings identified in this document will comprise the Waste Encapsulation and Storage Facility essential and support drawing list. This list will replace drawings identified as the ''WESF Essential and support drawing list''. Additionally, this document will follow the applicable requirements of HNF-PRO-242 Engineering Drawing Requirements'' and FSP-WESF-001, Section EN-1 ''Documenting Engineering Changes''. An essential drawing is defined as an engineering drawing identified by the facility staff as necessary to directly support the safe operation or maintenance of the facility. A support drawing is defined as a drawing identified by the facility staff that further describes the design details of structures, systems, or components shown on essential drawings or is frequently used by the support staff

  20. Using Discrete Trial Training to Identify Specific Learning Impairments in Boys with Fragile X Syndrome

    Science.gov (United States)

    Hall, Scott S.; Hustyi, Kristin M.; Hammond, Jennifer L.; Hirt, Melissa; Reiss, Allan L.

    2014-01-01

    We examined whether "discrete trial training" (DTT) could be used to identify learning impairments in mathematical reasoning in boys with fragile X syndrome (FXS). Boys with FXS, aged 10-23 years, and age and IQ-matched controls, were trained to match fractions to pie-charts and pie-charts to decimals either on a computer or with a…

  1. Feedback after continuous assessment: An essential element of ...

    African Journals Online (AJOL)

    Feedback after continuous assessment: An essential element of students' learning in medical education. Sir,. Regarding the philosophy and goals at all levels of education in Nigeria, section 1, paragraph 9(g) of the. National Policy on Education (revised 2004) stated that,. “educational assessment and evaluation shall be ...

  2. Development of alternating current circuit simulation as essential learning support for senior high school student

    Directory of Open Access Journals (Sweden)

    Mayang Dwinta Trisniarti

    2017-02-01

    Full Text Available In this study an interactive simulation of Alternating Current circuit was developed by using Articulate Storyline 2 and Adobe Flash CS 6 programs. The aim of this study was providing a computer interactive simulation as essential learning support for Senior High School student. One of the most important features of AC circuit simulation is the easily and continuous material to attain learning objectivity and interest toward students. This AC circuit simulation is built to create real-time sine wave graphs so that student could compare the result if the variable were changed gradually. The validation is held through several experts and reviewers due to get obtained through questionnaires. The results of this research could be concluded that AC circuit simulation for Senior High School Physics have good criteria based on user interface, i.e. 50% of respondents rated enough, 16.67% of respondents rated good, and 33.33% of respondents rated very good. Based on maintenance, i.e. 50% of respondents rated enough, 20% of respondents rated good, and 30% of respondents rated very good. Then based on usability, i.e. 6.67% of respondents rated good and 93.33% rated very good. Furthermore, based on understanding, i.e. 6.67% of respondents rated enough, 30% of respondents rated good, and 73.33% of respondents rated very good. The use of AC circuit simulation could improve the senior high school students’ cognitive ability on the Physics’s course, i.e. with the average score increased from 68.67 to 80.5 based on 30 students.

  3. Learning in context: identifying gaps in research on the transfer of medical communication skills to the clinical workplace.

    Science.gov (United States)

    van den Eertwegh, Valerie; van Dulmen, Sandra; van Dalen, Jan; Scherpbier, Albert J J A; van der Vleuten, Cees P M

    2013-02-01

    In order to reduce the inconsistencies of findings and the apparent low transfer of communication skills from training to medical practice, this narrative review identifies some main gaps in research on medical communication skills training and presents insights from theories on learning and transfer to broaden the view for future research. Relevant literature was identified using Pubmed, GoogleScholar, Cochrane database, and Web of Science; and analyzed using an iterative procedure. Research findings on the effectiveness of medical communication training still show inconsistencies and variability. Contemporary theories on learning based on a constructivist paradigm offer the following insights: acquisition of knowledge and skills should be viewed as an ongoing process of exchange between the learner and his environment, so called lifelong learning. This process can neither be atomized nor separated from the context in which it occurs. Four contemporary approaches are presented as examples. The following shift in focus for future research is proposed: beyond isolated single factor effectiveness studies toward constructivist, non-reductionistic studies integrating the context. Future research should investigate how constructivist approaches can be used in the medical context to increase effective learning and transition of communication skills. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

  4. Convergent transcriptional specializations in the brains of humans and song-learning birds

    DEFF Research Database (Denmark)

    Pfenning, Andreas R.; Hara, Erina; Whitney, Osceola

    2014-01-01

    Song-learning birds and humans share independently evolved similarities in brain pathways for vocal learning that are essential for song and speech and are not found in most other species. Comparisons of brain transcriptomes of song-learning birds and humans relative to vocal nonlearners identified...... convergent gene expression specializations in specific song and speech brain regions of avian vocal learners and humans. The strongest shared profiles relate bird motor and striatal song-learning nuclei, respectively, with human laryngeal motor cortex and parts of the striatum that control speech production...... and learning. Most of the associated genes function in motor control and brain connectivity. Thus, convergent behavior and neural connectivity for a complex trait are associated with convergent specialized expression of multiple genes....

  5. Supporting Teachers in Identifying Students' Learning Styles in Learning Management Systems: An Automatic Student Modelling Approach

    Science.gov (United States)

    Graf, Sabine; Kinshuk; Liu, Tzu-Chien

    2009-01-01

    In learning management systems (LMSs), teachers have more difficulties to notice and know how individual students behave and learn in a course, compared to face-to-face education. Enabling teachers to know their students' learning styles and making students aware of their own learning styles increases teachers' and students' understanding about…

  6. Gene Network Construction from Microarray Data Identifies a Key Network Module and Several Candidate Hub Genes in Age-Associated Spatial Learning Impairment.

    Science.gov (United States)

    Uddin, Raihan; Singh, Shiva M

    2017-01-01

    As humans age many suffer from a decrease in normal brain functions including spatial learning impairments. This study aimed to better understand the molecular mechanisms in age-associated spatial learning impairment (ASLI). We used a mathematical modeling approach implemented in Weighted Gene Co-expression Network Analysis (WGCNA) to create and compare gene network models of young (learning unimpaired) and aged (predominantly learning impaired) brains from a set of exploratory datasets in rats in the context of ASLI. The major goal was to overcome some of the limitations previously observed in the traditional meta- and pathway analysis using these data, and identify novel ASLI related genes and their networks based on co-expression relationship of genes. This analysis identified a set of network modules in the young, each of which is highly enriched with genes functioning in broad but distinct GO functional categories or biological pathways. Interestingly, the analysis pointed to a single module that was highly enriched with genes functioning in "learning and memory" related functions and pathways. Subsequent differential network analysis of this "learning and memory" module in the aged (predominantly learning impaired) rats compared to the young learning unimpaired rats allowed us to identify a set of novel ASLI candidate hub genes. Some of these genes show significant repeatability in networks generated from independent young and aged validation datasets. These hub genes are highly co-expressed with other genes in the network, which not only show differential expression but also differential co-expression and differential connectivity across age and learning impairment. The known function of these hub genes indicate that they play key roles in critical pathways, including kinase and phosphatase signaling, in functions related to various ion channels, and in maintaining neuronal integrity relating to synaptic plasticity and memory formation. Taken together, they

  7. Moderated mediation to identify the knowledge stocks, learning flows and barriers at a Dutch telecom operator

    NARCIS (Netherlands)

    de Schryver, Tom; Rosendaal, Bas

    2013-01-01

    Drawing on the 4I-model of Crossan et al. (1999), we have identified the knowledge stocks, learning flows and barriers at a Dutch telecom operator by means of moderated mediation. In this company, the strategic relevant knowledge stocks move in the same direction and many processes support their

  8. Waste and Encapsulation Storage Facility (WESF) Essential and Support Drawing List

    International Nuclear Information System (INIS)

    SHANNON, W.R.

    1999-01-01

    The drawings identified in this document will comprise the Waste Encapsulation and Storage Facility essential and support drawing list. This list will replace drawings identified as the ''WESF Essential and support drawing list''. Additionally, this document will follow the applicable requirements of HNF-PRO-242 ''Engineering Drawing Requirements'' and FSP-WESF-001, Section EN-1 ''Documenting Engineering Changes''. An essential drawing is defined as an engineering drawing identified by the facility staff as necessary to directly support the safe operation or maintenance of the facility. A support drawing is defined as a drawing identified by the facility staff that further describes the design details of structures, systems, or components shown on essential drawings or is frequently used by the support staff

  9. Waste and Encapsulation Storage Facility (WESF) Essential and Support Drawing List

    International Nuclear Information System (INIS)

    SHANNON, W.R.

    1999-01-01

    The drawings identified in this document will comprise the Waste Encapsulation and Storage Facility essential and support drawing list. This list will replace drawings identified as the ''WESF Essential and support drawing list''. Additionally, this document will follow the applicable requirements of HNF-PRO-242'' Engineering Drawing Requirements'' and FSP-WESF-001, Section EN-1 ''Documenting Engineering Changes''. An essential drawing is defined as an engineering drawing identified by the facility staff as necessary to directly support the safe operation or maintenance of the facility. A support drawing is defined as a drawing identified by the facility staff that further describes the design details of structures, systems, or components shown on essential drawings or is frequently used by the support staff

  10. Identifying Green Infrastructure from Social Media and Crowdsourcing- An Image Based Machine-Learning Approach.

    Science.gov (United States)

    Rai, A.; Minsker, B. S.

    2016-12-01

    In this work we introduce a novel dataset GRID: GReen Infrastructure Detection Dataset and a framework for identifying urban green storm water infrastructure (GI) designs (wetlands/ponds, urban trees, and rain gardens/bioswales) from social media and satellite aerial images using computer vision and machine learning methods. Along with the hydrologic benefits of GI, such as reducing runoff volumes and urban heat islands, GI also provides important socio-economic benefits such as stress recovery and community cohesion. However, GI is installed by many different parties and cities typically do not know where GI is located, making study of its impacts or siting new GI difficult. We use object recognition learning methods (template matching, sliding window approach, and Random Hough Forest method) and supervised machine learning algorithms (e.g., support vector machines) as initial screening approaches to detect potential GI sites, which can then be investigated in more detail using on-site surveys. Training data were collected from GPS locations of Flickr and Instagram image postings and Amazon Mechanical Turk identification of each GI type. Sliding window method outperformed other methods and achieved an average F measure, which is combined metric for precision and recall performance measure of 0.78.

  11. Mutagenesis Screen Identifies agtpbp1 and eps15L1 as Essential for T lymphocyte Development in Zebrafish.

    Science.gov (United States)

    Seiler, Christoph; Gebhart, Nichole; Zhang, Yong; Shinton, Susan A; Li, Yue-sheng; Ross, Nicola L; Liu, Xingjun; Li, Qin; Bilbee, Alison N; Varshney, Gaurav K; LaFave, Matthew C; Burgess, Shawn M; Balciuniene, Jorune; Balciunas, Darius; Hardy, Richard R; Kappes, Dietmar J; Wiest, David L; Rhodes, Jennifer

    2015-01-01

    Genetic screens are a powerful tool to discover genes that are important in immune cell development and function. The evolutionarily conserved development of lymphoid cells paired with the genetic tractability of zebrafish make this a powerful model system for this purpose. We used a Tol2-based gene-breaking transposon to induce mutations in the zebrafish (Danio rerio, AB strain) genome, which served the dual purpose of fluorescently tagging cells and tissues that express the disrupted gene and provided a means of identifying the disrupted gene. We identified 12 lines in which hematopoietic tissues expressed green fluorescent protein (GFP) during embryonic development, as detected by microscopy. Subsequent analysis of young adult fish, using a novel approach in which single cell suspensions of whole fish were analyzed by flow cytometry, revealed that 8 of these lines also exhibited GFP expression in young adult cells. An additional 15 lines that did not have embryonic GFP+ hematopoietic tissue by microscopy, nevertheless exhibited GFP+ cells in young adults. RT-PCR analysis of purified GFP+ populations for expression of T and B cell-specific markers identified 18 lines in which T and/or B cells were fluorescently tagged at 6 weeks of age. As transposon insertion is expected to cause gene disruption, these lines can be used to assess the requirement for the disrupted genes in immune cell development. Focusing on the lines with embryonic GFP+ hematopoietic tissue, we identified three lines in which homozygous mutants exhibited impaired T cell development at 6 days of age. In two of the lines we identified the disrupted genes, agtpbp1 and eps15L1. Morpholino-mediated knockdown of these genes mimicked the T cell defects in the corresponding mutant embryos, demonstrating the previously unrecognized, essential roles of agtpbp1 and eps15L1 in T cell development.

  12. Mutagenesis Screen Identifies agtpbp1 and eps15L1 as Essential for T lymphocyte Development in Zebrafish.

    Directory of Open Access Journals (Sweden)

    Christoph Seiler

    Full Text Available Genetic screens are a powerful tool to discover genes that are important in immune cell development and function. The evolutionarily conserved development of lymphoid cells paired with the genetic tractability of zebrafish make this a powerful model system for this purpose. We used a Tol2-based gene-breaking transposon to induce mutations in the zebrafish (Danio rerio, AB strain genome, which served the dual purpose of fluorescently tagging cells and tissues that express the disrupted gene and provided a means of identifying the disrupted gene. We identified 12 lines in which hematopoietic tissues expressed green fluorescent protein (GFP during embryonic development, as detected by microscopy. Subsequent analysis of young adult fish, using a novel approach in which single cell suspensions of whole fish were analyzed by flow cytometry, revealed that 8 of these lines also exhibited GFP expression in young adult cells. An additional 15 lines that did not have embryonic GFP+ hematopoietic tissue by microscopy, nevertheless exhibited GFP+ cells in young adults. RT-PCR analysis of purified GFP+ populations for expression of T and B cell-specific markers identified 18 lines in which T and/or B cells were fluorescently tagged at 6 weeks of age. As transposon insertion is expected to cause gene disruption, these lines can be used to assess the requirement for the disrupted genes in immune cell development. Focusing on the lines with embryonic GFP+ hematopoietic tissue, we identified three lines in which homozygous mutants exhibited impaired T cell development at 6 days of age. In two of the lines we identified the disrupted genes, agtpbp1 and eps15L1. Morpholino-mediated knockdown of these genes mimicked the T cell defects in the corresponding mutant embryos, demonstrating the previously unrecognized, essential roles of agtpbp1 and eps15L1 in T cell development.

  13. Natural Variation in "Drosophila" Larval Reward Learning and Memory Due to a cGMP-Dependent Protein Kinase

    Science.gov (United States)

    Kaun, Karla R.; Hendel, Thomas; Gerber, Bertram; Sokolowski, Marla B.

    2007-01-01

    Animals must be able to find and evaluate food to ensure survival. The ability to associate a cue with the presence of food is advantageous because it allows an animal to quickly identify a situation associated with a good, bad, or even harmful food. Identifying genes underlying these natural learned responses is essential to understanding this…

  14. Identifying associations between pig pathologies using a multi-dimensional machine learning methodology.

    Science.gov (United States)

    Sanchez-Vazquez, Manuel J; Nielen, Mirjam; Edwards, Sandra A; Gunn, George J; Lewis, Fraser I

    2012-08-31

    Abattoir detected pathologies are of crucial importance to both pig production and food safety. Usually, more than one pathology coexist in a pig herd although it often remains unknown how these different pathologies interrelate to each other. Identification of the associations between different pathologies may facilitate an improved understanding of their underlying biological linkage, and support the veterinarians in encouraging control strategies aimed at reducing the prevalence of not just one, but two or more conditions simultaneously. Multi-dimensional machine learning methodology was used to identify associations between ten typical pathologies in 6485 batches of slaughtered finishing pigs, assisting the comprehension of their biological association. Pathologies potentially associated with septicaemia (e.g. pericarditis, peritonitis) appear interrelated, suggesting on-going bacterial challenges by pathogens such as Haemophilus parasuis and Streptococcus suis. Furthermore, hepatic scarring appears interrelated with both milk spot livers (Ascaris suum) and bacteria-related pathologies, suggesting a potential multi-pathogen nature for this pathology. The application of novel multi-dimensional machine learning methodology provided new insights into how typical pig pathologies are potentially interrelated at batch level. The methodology presented is a powerful exploratory tool to generate hypotheses, applicable to a wide range of studies in veterinary research.

  15. Harlequin-Inspired Story-Based Learning: An Educational Innovation for Pediatric Nursing Communication.

    Science.gov (United States)

    Shaw, Alison; Lind, Candace; Ewashen, Carol

    2017-05-01

    Effective communication with patients and families is essential for quality care in the pediatric environment. Despite this, the current structure and content of undergraduate nursing education often contributes to novice RNs feeling unprepared to manage complex pediatric communication situations. By merging the characteristics of the Harlequin persona with the structure of story-based learning, undergraduate students can be introduced to increasingly advanced pediatric communication scenarios in the classroom. Although story-based learning encourages students to identify and address the contextual and emotional elements of a story, the Harlequin encourages educators to challenge assumptions and upset the status quo. Nursing students can develop advanced communication abilities and learn to identify and cope with the emotions and complexities inherent in pediatric practice and communication. Harlequin-inspired story-based learning can enable nurse educators to create interesting, realistic, and challenging pediatric nursing stories designed to push students outside their comfort zones and enhance their advanced pediatric communication abilities. [J Nurs Educ. 2017;56(5):300-303.]. Copyright 2017, SLACK Incorporated.

  16. Informal Science learning in PIBID: identifying and interpreting the strands

    Directory of Open Access Journals (Sweden)

    Thomas Barbosa Fejolo

    2013-10-01

    Full Text Available This paper presents a research on informal Science learning in the context of the Institutional Scholarship Program Initiation to Teaching (PIBID. We take as reference the strands of informal Science learning (FAC, representing six dimensions of learning, they are: 1 Development of interest in Science; 2 Understanding of scientific knowledge; 3 Engaging in scientific reasoning; 4 Reflection on Science; 5 Engagement in scientific practice; 6 Identification with Science. For the lifting data, it was used the filming record of the interactions and dialogues of undergraduate students while performing activities of Optical Spectroscopy in the laboratory. Based on the procedures of content analysis and interpretations through communication, we investigate which of the six strands were present during the action of the students in activities. As a result we have drawn a learning profile for each student by distributing communications in different strands of informal Science learning.

  17. Novel Active Learning Experiences for Students to Identify Barriers to Independent Living for People with Disabilities.

    Science.gov (United States)

    McArthur, Polly; Burch, Lillian; Moore, Katherine; Hodges, Mary Sue

    2016-07-01

    This article describes interactive learning about independent living for people with disabilities and features the partnership of the College of Nursing and a Center for Independent Living (CIL). Using qualitative descriptive approach, students' written reflections were analyzed. Through "Xtreme Challenge," 82 undergraduate nursing students participated in aspects of independent living as well as identifying barriers. Students were engaged and learned to consider the person before the disability. Moreover, students valued the activity leaders' openness, which facilitated understanding the point of view of a person with disability. The value of partnership was evident as it allowed students to participate in active learning, which led to growth in the affective domain. Students became aware of potential education resources through the CIL. This article will guide educators in designing experiences that teach nursing care at the individual, family, and community level for people living with disabilities. © 2015 Association of Rehabilitation Nurses.

  18. The Relationship between School Leadership and Professional Learning Communities in Thai Basic Education Schools

    Science.gov (United States)

    Somprach, Kanokorn; Tang, Keow Ngang; Popoonsak, Pongtorn

    2017-01-01

    This study aimed to explore the role of essential leadership styles of school principals in encouraging teachers' participation in professional learning communities (PLCs) in basic education schools in northeastern Thailand. It aimed to identify the nine leadership styles practiced by school principals and teachers' participation in PLCs, and to…

  19. Towards identifying nurse educator competencies required for simulation-based learning: A systemised rapid review and synthesis

    DEFF Research Database (Denmark)

    Bøje, Rikke Buus; Topping, Annie; Rekola, Leena

    2015-01-01

    Objectives: This paper presents the results of a systemised rapid reviewand synthesis of the literature undertaken to identify competencies required by nurse educators to facilitate simulation-based learning (SBL). Design: An international collaboration undertook a protocol-based search, retrieva...... further development as a model for educators delivering SBL as part of nursing curricula....

  20. Implementation of a smartphone wireless accelerometer platform for establishing deep brain stimulation treatment efficacy of essential tremor with machine learning.

    Science.gov (United States)

    LeMoyne, Robert; Tomycz, Nestor; Mastroianni, Timothy; McCandless, Cyrus; Cozza, Michael; Peduto, David

    2015-01-01

    Essential tremor (ET) is a highly prevalent movement disorder. Patients with ET exhibit a complex progressive and disabling tremor, and medical management often fails. Deep brain stimulation (DBS) has been successfully applied to this disorder, however there has been no quantifiable way to measure tremor severity or treatment efficacy in this patient population. The quantified amelioration of kinetic tremor via DBS is herein demonstrated through the application of a smartphone (iPhone) as a wireless accelerometer platform. The recorded acceleration signal can be obtained at a setting of the subject's convenience and conveyed by wireless transmission through the Internet for post-processing anywhere in the world. Further post-processing of the acceleration signal can be classified through a machine learning application, such as the support vector machine. Preliminary application of deep brain stimulation with a smartphone for acquisition of a feature set and machine learning for classification has been successfully applied. The support vector machine achieved 100% classification between deep brain stimulation in `on' and `off' mode based on the recording of an accelerometer signal through a smartphone as a wireless accelerometer platform.

  1. [Clinical Simulation and Emotional Learning].

    Science.gov (United States)

    Afanador, Adalberto Amaya

    2012-01-01

    At present, the clinical simulation has been incorporated into medical school curriculum. It is considered that the simulation is useful to develop skills, and as such its diffusion. Within the acquisition of skills, meaningful learning is an essential emotional component for the student and this point is essential to optimize the results of the simulation experience. Narrative description on the subject of simulation and the degree of "emotionality." The taxonomy is described for the types of clinical simulation fidelity and correlates it with the degree of emotionality required to achieve significant and lasting learning by students. It is essential to take into account the student's level of emotion in the learning process through simulation strategy. Copyright © 2012 Asociación Colombiana de Psiquiatría. Publicado por Elsevier España. All rights reserved.

  2. Nursing students' learning dynamics and influencing factors in clinical contexts.

    Science.gov (United States)

    Lee, Jung Jae; Clarke, Charlotte L; Carson, Maggie N

    2018-03-01

    Clinical placements are essential for students to develop clinical skills to qualify as nurses. However, various difficulties encountered by nursing students during their clinical education detract from developing clinical competencies. This constructivist grounded theory study aims to explore nursing students' experiences in clinical nursing education, and to identify the factors that influence the clinical education students receive. Twenty-one individual and six group semi-structured interviews were conducted with sixteen fourth year nursing students and four registered nurses. This research identified six factors that influence nursing students' clinical education: interpersonal, socio-cultural, instructional, environmental, emotional and physical factors. The research has developed a dynamic model of learning in clinical contexts, which offers opportunities to understand how students' learning is influenced multifactorially during clinical placements. The understanding and application of the model can improve nursing instructional design, and subsequently, nursing students' learning in clinical contexts. Copyright © 2017 Elsevier Ltd. All rights reserved.

  3. A Noise Trimming and Positional Significance of Transposon Insertion System to Identify Essential Genes in Yersinia pestis

    Science.gov (United States)

    Yang, Zheng Rong; Bullifent, Helen L.; Moore, Karen; Paszkiewicz, Konrad; Saint, Richard J.; Southern, Stephanie J.; Champion, Olivia L.; Senior, Nicola J.; Sarkar-Tyson, Mitali; Oyston, Petra C. F.; Atkins, Timothy P.; Titball, Richard W.

    2017-02-01

    Massively parallel sequencing technology coupled with saturation mutagenesis has provided new and global insights into gene functions and roles. At a simplistic level, the frequency of mutations within genes can indicate the degree of essentiality. However, this approach neglects to take account of the positional significance of mutations - the function of a gene is less likely to be disrupted by a mutation close to the distal ends. Therefore, a systematic bioinformatics approach to improve the reliability of essential gene identification is desirable. We report here a parametric model which introduces a novel mutation feature together with a noise trimming approach to predict the biological significance of Tn5 mutations. We show improved performance of essential gene prediction in the bacterium Yersinia pestis, the causative agent of plague. This method would have broad applicability to other organisms and to the identification of genes which are essential for competitiveness or survival under a broad range of stresses.

  4. Adult Learning in Health Professions Education

    Science.gov (United States)

    Bierema, Laura L.

    2018-01-01

    This chapter focuses on the process of learning in health professions education (HPE) in terms of key issues that shape HPE learning and essential strategies for promoting and facilitating learning among professionals.

  5. 616 Nonradioactive Dangerous Waste Storage Facility -- Essential/support drawing list. Revision 2

    International Nuclear Information System (INIS)

    Busching, K.R.

    1994-01-01

    This document identifies the essential and supporting engineering drawings for the 616 Nonradioactive Dangerous Waste Storage Facility. The purpose of the documents is to describe the criteria used to identify and the plan for updating and maintaining their accuracy. Drawings are designated as essential if they relate to safety systems, environmental monitoring systems, effluents, and facility HVAC, electrical, and plumbing systems. Support drawings are those which are frequently used or describe a greater level of detail for equipment, components, or systems shown on essential drawings. A listing of drawings identified as essential or support is provided in Table A

  6. A causal link between prediction errors, dopamine neurons and learning.

    Science.gov (United States)

    Steinberg, Elizabeth E; Keiflin, Ronald; Boivin, Josiah R; Witten, Ilana B; Deisseroth, Karl; Janak, Patricia H

    2013-07-01

    Situations in which rewards are unexpectedly obtained or withheld represent opportunities for new learning. Often, this learning includes identifying cues that predict reward availability. Unexpected rewards strongly activate midbrain dopamine neurons. This phasic signal is proposed to support learning about antecedent cues by signaling discrepancies between actual and expected outcomes, termed a reward prediction error. However, it is unknown whether dopamine neuron prediction error signaling and cue-reward learning are causally linked. To test this hypothesis, we manipulated dopamine neuron activity in rats in two behavioral procedures, associative blocking and extinction, that illustrate the essential function of prediction errors in learning. We observed that optogenetic activation of dopamine neurons concurrent with reward delivery, mimicking a prediction error, was sufficient to cause long-lasting increases in cue-elicited reward-seeking behavior. Our findings establish a causal role for temporally precise dopamine neuron signaling in cue-reward learning, bridging a critical gap between experimental evidence and influential theoretical frameworks.

  7. Active Learning Strategies for Phenotypic Profiling of High-Content Screens.

    Science.gov (United States)

    Smith, Kevin; Horvath, Peter

    2014-06-01

    High-content screening is a powerful method to discover new drugs and carry out basic biological research. Increasingly, high-content screens have come to rely on supervised machine learning (SML) to perform automatic phenotypic classification as an essential step of the analysis. However, this comes at a cost, namely, the labeled examples required to train the predictive model. Classification performance increases with the number of labeled examples, and because labeling examples demands time from an expert, the training process represents a significant time investment. Active learning strategies attempt to overcome this bottleneck by presenting the most relevant examples to the annotator, thereby achieving high accuracy while minimizing the cost of obtaining labeled data. In this article, we investigate the impact of active learning on single-cell-based phenotype recognition, using data from three large-scale RNA interference high-content screens representing diverse phenotypic profiling problems. We consider several combinations of active learning strategies and popular SML methods. Our results show that active learning significantly reduces the time cost and can be used to reveal the same phenotypic targets identified using SML. We also identify combinations of active learning strategies and SML methods which perform better than others on the phenotypic profiling problems we studied. © 2014 Society for Laboratory Automation and Screening.

  8. Identifying and describing patients' learning experiences towards self-management of bipolar disorders: a phenomenological study.

    Science.gov (United States)

    Van den Heuvel, S C G H; Goossens, P J J; Terlouw, C; Van Achterberg, T; Schoonhoven, L

    2015-12-01

    -to-face, in-depth interviews, guided by a topic list, along service users with BD I or II (n = 16) in three specialised community care clinics across the Netherlands. Interviews were digitally recorded and transcribed verbatim prior to analysis in Atlas.ti 7. Unlike existing studies, which suggest that individual abilities of service users determine outcomes in self-management of BD, the current study found that self-management of BD is a learning process that takes place in a collaborative network. We identified five categories: acknowledgment of having BD, processing the information load, illness management, reflecting on living with BD, and self-management of BD. The success of self-management depends on the acknowledgment of individual limitations in learning to cope with BD and willingness to use a social network as a back-up instead. Especially, the dormant fear of a recurrent episode is a hampering factor in this learning process. © 2015 John Wiley & Sons Ltd.

  9. Learning from Failed Decisions

    Science.gov (United States)

    Nutt, Paul C.

    2010-01-01

    The consequences and dilemmas posed by learning issues for decision making are discussed. Learning requires both awareness of barriers and a coping strategy. The motives to hold back information essential for learning stem from perverse incentives, obscure outcomes, and the hindsight bias. There is little awareness of perverse incentives that…

  10. Essential French grammar

    CERN Document Server

    Thacker, Mike

    2014-01-01

    Essential French Grammar is an innovative reference grammar and workbook for intermediate and advanced undergraduate students of French (CEFR levels B2 to C1). Its clear explanations of grammar are supported by contemporary examples and lively cartoon drawings.  Each chapter contains: * real-life language examples in French, with English translations * a 'key points' box and tables that summarise grammar concepts * a variety of exercises to reinforce learning * a contemporary primary source or literary extract to illustrate grammar in context. To aid your understanding, this book also contains a glossary of grammatical terms in French and English, useful verb tables and a key to the exercises. Together, these features all help you to grasp complex points of grammar and develop your French language skills.

  11. Machine-learning identifies substance-specific behavioral markers for opiate and stimulant dependence.

    Science.gov (United States)

    Ahn, Woo-Young; Vassileva, Jasmin

    2016-04-01

    Recent animal and human studies reveal distinct cognitive and neurobiological differences between opiate and stimulant addictions; however, our understanding of the common and specific effects of these two classes of drugs remains limited due to the high rates of polysubstance-dependence among drug users. The goal of the current study was to identify multivariate substance-specific markers classifying heroin dependence (HD) and amphetamine dependence (AD), by using machine-learning approaches. Participants included 39 amphetamine mono-dependent, 44 heroin mono-dependent, 58 polysubstance dependent, and 81 non-substance dependent individuals. The majority of substance dependent participants were in protracted abstinence. We used demographic, personality (trait impulsivity, trait psychopathy, aggression, sensation seeking), psychiatric (attention deficit hyperactivity disorder, conduct disorder, antisocial personality disorder, psychopathy, anxiety, depression), and neurocognitive impulsivity measures (Delay Discounting, Go/No-Go, Stop Signal, Immediate Memory, Balloon Analogue Risk, Cambridge Gambling, and Iowa Gambling tasks) as predictors in a machine-learning algorithm. The machine-learning approach revealed substance-specific multivariate profiles that classified HD and AD in new samples with high degree of accuracy. Out of 54 predictors, psychopathy was the only classifier common to both types of addiction. Important dissociations emerged between factors classifying HD and AD, which often showed opposite patterns among individuals with HD and AD. These results suggest that different mechanisms may underlie HD and AD, challenging the unitary account of drug addiction. This line of work may shed light on the development of standardized and cost-efficient clinical diagnostic tests and facilitate the development of individualized prevention and intervention programs for HD and AD. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  12. Identifying Stages in a Learning Hierarchy for Use in Formative Assessment--The Example of Line Graphs

    Science.gov (United States)

    Stacey, Kaye; Price, Beth; Steinle, Vicki

    2012-01-01

    This paper discusses issues arising in the design of questions to use in an on-line computer-based formative assessment system, focussing on how best to identify the stages of a learning hierarchy for reporting to teachers. Data from several hundred students is used to illustrate how design decisions have been made for a test on interpreting line…

  13. Identifying Information Behavior in Information Search and Retrieval through Learning Activities Using an E-learning Platform Case: Interamerican School of Library and Information Science at the University of Antioquia (Medellin-Colombia)

    Science.gov (United States)

    Tirado, Alejandro Uribe; Munoz, Wilson Castano

    2011-01-01

    This text presents the future of librarian education as exemplified by the Interamerican School of Library and Information Science at the University of Antioquia (Medellin-Colombia), using an online learning platform-LMS (Moodle) and through different personalized and collaborative learning activities and tools that help students identify their…

  14. An online clinical governance learning package for student radiographers

    International Nuclear Information System (INIS)

    Messer, Simon; Griffiths, Marc

    2007-01-01

    Purpose: Clinical governance is a key element of the Government's plan for reform in the National Health Service. As such, it is an essential element for final year undergraduate radiography studies. With Ciris becoming a standard web-based solution for clinical governance within the NHS, a need has been identified for it to be introduced at university to undergraduate radiographers. Methods: A distance learning package for Ciris has therefore been developed that was trialed by third year radiography students whilst on their final clinical placement. The package includes a specifically designed online virtual hospital which the students engaged with interactively using a workbook. The students undertook detailed individual and group exercises aimed at delivering practical experience of the Ciris program and its role in clinical governance. Results: The package was evaluated by the students in terms of their experiential learning and their perceived learning needs for clinical governance. Technical and support issues associated with the delivery of this package online were identified. Conclusion: The combination of a distance online learning environment, supported by a workbook, is an effective method of engaging students and is beneficial in terms of helping achieve learning outcomes in clinical governance for final year radiography studies

  15. Identifying student stuck states in programmingassignments using machine learning

    OpenAIRE

    Lindell, Johan

    2014-01-01

    Intelligent tutors are becoming more popular with the increased use of computersand hand held devices in the education sphere. An area of research isinvestigating how machine learning can be used to improve the precision andfeedback of the tutor. This thesis compares machine learning clustering algorithmswith various distance functions in an attempt to cluster together codesnapshots of students solving a programming task. It investigates whethera general non-problem specific implementation of...

  16. Learning environments matter: Identifying influences on the ...

    African Journals Online (AJOL)

    In the light of the poor academic achievement in science by secondary school students in South Africa, students' motivation for science learning should be enhanced. It is argued that this can only be achieved with insight into which motivational factors to target, with due consideration of the diversity in schools. The study ...

  17. The essential research curriculum for doctor of pharmacy degree programs.

    Science.gov (United States)

    Lee, Mary W; Clay, Patrick G; Kennedy, W Klugh; Kennedy, Mary Jayne; Sifontis, Nicole M; Simonson, Dana; Sowinski, Kevin M; Taylor, William J; Teply, Robyn M; Vardeny, Orly; Welty, Timothy E

    2010-09-01

    In 2008, the American College of Clinical Pharmacy appointed the Task Force on Research in the Professional Curriculum to review and make recommendations on the essential research curriculum that should be part of doctor of pharmacy (Pharm.D.) degree programs. The essential research curriculum provides all students with critical and analytical thinking and lifelong learning skills, which will apply to current and future practice and stimulate some students to pursue a career in this field. Eight key curricular competencies are as follows: identifying relevant problems and gaps in pharmacotherapeutic knowledge; generating a research hypothesis; designing a study to test the hypothesis; analyzing data results using appropriate statistical tests; interpreting and applying the results of a research study to practice; effectively communicating research and clinical findings to pharmacy, medical, and basic science audiences; interpreting and effectively communicating research and clinical findings to patients and caregivers; and applying regulatory and ethical principles when conducting research or using research results. Faculty are encouraged to use research-related examples across the curriculum in nonresearch courses and to employ interactive teaching methods to promote student engagement. Examples of successful strategies used by Pharm.D. degree programs to integrate research content into the curriculum are provided. Current pharmacy school curricula allow variable amounts of time for instructional content in research, which may or may not include hands-on experiences for students to develop research-related skills. Therefore, an important opportunity exists for schools to incorporate the essential research curriculum. Despite the challenges of implementing these recommendations, the essential research curriculum will position pharmacy school graduates to understand the importance of research and its applications to practice. This perspective is provided as an aid

  18. Comparative genomics in Chlamydomonas and Plasmodium identifies an ancient nuclear envelope protein family essential for sexual reproduction in protists, fungi, plants, and vertebrates.

    Science.gov (United States)

    Ning, Jue; Otto, Thomas D; Pfander, Claudia; Schwach, Frank; Brochet, Mathieu; Bushell, Ellen; Goulding, David; Sanders, Mandy; Lefebvre, Paul A; Pei, Jimin; Grishin, Nick V; Vanderlaan, Gary; Billker, Oliver; Snell, William J

    2013-05-15

    Fertilization is a crucial yet poorly characterized event in eukaryotes. Our previous discovery that the broadly conserved protein HAP2 (GCS1) functioned in gamete membrane fusion in the unicellular green alga Chlamydomonas and the malaria pathogen Plasmodium led us to exploit the rare biological phenomenon of isogamy in Chlamydomonas in a comparative transcriptomics strategy to uncover additional conserved sexual reproduction genes. All previously identified Chlamydomonas fertilization-essential genes fell into related clusters based on their expression patterns. Out of several conserved genes in a minus gamete cluster, we focused on Cre06.g280600, an ortholog of the fertilization-related Arabidopsis GEX1. Gene disruption, cell biological, and immunolocalization studies show that CrGEX1 functions in nuclear fusion in Chlamydomonas. Moreover, CrGEX1 and its Plasmodium ortholog, PBANKA_113980, are essential for production of viable meiotic progeny in both organisms and thus for mosquito transmission of malaria. Remarkably, we discovered that the genes are members of a large, previously unrecognized family whose first-characterized member, KAR5, is essential for nuclear fusion during yeast sexual reproduction. Our comparative transcriptomics approach provides a new resource for studying sexual development and demonstrates that exploiting the data can lead to the discovery of novel biology that is conserved across distant taxa.

  19. Identifying associations between pig pathologies using a multi-dimensional machine learning methodology

    Directory of Open Access Journals (Sweden)

    Sanchez-Vazquez Manuel J

    2012-08-01

    Full Text Available Abstract Background Abattoir detected pathologies are of crucial importance to both pig production and food safety. Usually, more than one pathology coexist in a pig herd although it often remains unknown how these different pathologies interrelate to each other. Identification of the associations between different pathologies may facilitate an improved understanding of their underlying biological linkage, and support the veterinarians in encouraging control strategies aimed at reducing the prevalence of not just one, but two or more conditions simultaneously. Results Multi-dimensional machine learning methodology was used to identify associations between ten typical pathologies in 6485 batches of slaughtered finishing pigs, assisting the comprehension of their biological association. Pathologies potentially associated with septicaemia (e.g. pericarditis, peritonitis appear interrelated, suggesting on-going bacterial challenges by pathogens such as Haemophilus parasuis and Streptococcus suis. Furthermore, hepatic scarring appears interrelated with both milk spot livers (Ascaris suum and bacteria-related pathologies, suggesting a potential multi-pathogen nature for this pathology. Conclusions The application of novel multi-dimensional machine learning methodology provided new insights into how typical pig pathologies are potentially interrelated at batch level. The methodology presented is a powerful exploratory tool to generate hypotheses, applicable to a wide range of studies in veterinary research.

  20. Essential Medicines in National Constitutions : Progress since 2008

    NARCIS (Netherlands)

    Perehudoff, S. Katrina; Toebes, Brigit; Hogerzeil, Hans

    A constitutional guarantee of access to essential medicines has been identified as an important indicator of government commitment to the progressive realization of the right to the highest attainable standard of health. The objective of this study was to evaluate provisions on access to essential

  1. Learning how to learn using simulation: Unpacking disguised feedback using a qualitative analysis of doctors' telephone talk.

    Science.gov (United States)

    Eppich, Walter J; Rethans, Jan-Joost; Dornan, Timothy; Teunissen, Pim W

    2018-05-04

    Telephone talk between clinicians represents a substantial workplace activity in postgraduate clinical education, yet junior doctors receive little training in goal-directed, professional telephone communication. To assess educational needs for telephone talk and develop a simulation-based educational intervention. Thematic analysis of 17 semi-structured interviews with doctors-in-training from various training levels and specialties. We identified essential elements to incorporate into simulation-based telephone talk, including common challenging situations for junior doctors as well as explicit and informal aspects that promote learning. These elements have implications for both junior doctors and clinical supervisors, including: (a) explicit teaching and feedback practices and (b) informal conversational interruptions and questions. The latter serve as "disguised" feedback, which aligns with recent conceptualizations of feedback as "performance relevant information". In addition to preparing clinical supervisors to support learning through telephone talk, we propose several potential educational strategies: (a) embedding telephone communication skills throughout simulation activities and (b) developing stand-alone curricular elements to sensitize junior doctors to "disguised" feedback during telephone talk as a mechanism to augment future workplace learning, i.e. 'learning how to learn' through simulation.

  2. Linking Essential Tremor to the Cerebellum: Clinical Evidence.

    Science.gov (United States)

    Benito-León, Julián; Labiano-Fontcuberta, Andrés

    2016-06-01

    Essential tremor (ET) might be a family of diseases unified by the presence of kinetic tremor, but also showing etiological, pathological, and clinical heterogeneity. In this review, we will describe the most significant clinical evidence, which suggests that ET is linked to the cerebellum. Data for this review were identified by searching PUBMED (January 1966 to May 2015) crossing the terms "essential tremor" (ET) and "cerebellum," which yielded 201 entries, 11 of which included the term "cerebellum" in the article title. This was supplemented by articles in the author's files that pertained to this topic. The wide spectrum of clinical features of ET that suggest that it originates as a cerebellar or cerebellar outflow problem include the presence of intentional tremor, gait and balance abnormalities, subtle features of dysarthria, and oculomotor abnormalities, as well as deficits in eye-hand coordination, motor learning deficits, incoordination during spiral drawing task, abnormalities in motor timing and visual reaction time, impairment of social abilities, improvement in tremor after cerebellar stroke, efficacy of deep brain stimulation (which blocks cerebellar outflow), and cognitive dysfunction. It is unlikely, however, that cerebellar dysfunction, per se, fully explains ET-associated dementia, because the cognitive deficits that have been described in patients with cerebellar lesions are generally mild. Overall, a variety of clinical findings suggest that in at least a sizable proportion of patients with ET, there is an underlying abnormality of the cerebellum and/or its pathways.

  3. Learning from Toyota: How Action Learning Can Foster Competitive Advantage in New Product Development (NPD)

    Science.gov (United States)

    Fuchs, Barbara

    2007-01-01

    New product development and commercialization are essential to entrepreneurial growth and international competitiveness. Excellence in this area is strongly supported by individual and organizational learning efforts. By analyzing how Japanese car manufacturer Toyota organizes learning, this paper evaluates the potential of action learning to…

  4. EDUCATION REFORMS TOWARDS 21ST CENTURY SKILLS: TRANSFORMING STUDENTS' LEARNING EXPERIENCES THROUGH EFFECTIVE LEARNING ENVIRONMENTS

    OpenAIRE

    Harriet Wambui Njui

    2018-01-01

    This paper reviews literature on learning environments with a view to making recommendations on how teachers could create effective and high-quality learning environments that provide learners with transformative learning experiences as they go through the process of education. An effective learning environment is critical because quality education, which is essential to real learning and human development, is influenced by factors both inside and outside the classroom. Learning institutions ...

  5. Identifying Cassini's Magnetospheric Location Using Magnetospheric Imaging Instrument (MIMI) Data and Machine Learning

    Science.gov (United States)

    Vandegriff, J. D.; Smith, G. L.; Edenbaum, H.; Peachey, J. M.; Mitchell, D. G.

    2017-12-01

    We analyzed data from Cassini's Magnetospheric Imaging Instrument (MIMI) and Magnetometer (MAG) and attempted to identify the region of Saturn's magnetosphere that Cassini was in at a given time using machine learning. MIMI data are from the Charge-Energy-Mass Spectrometer (CHEMS) instrument and the Low-Energy Magnetospheric Measurement System (LEMMS). We trained on data where the region is known based on a previous analysis of Cassini Plasma Spectrometer (CAPS) plasma data. Three magnetospheric regions are considered: Magnetosphere, Magnetosheath, and Solar Wind. MIMI particle intensities, magnetic field values, and spacecraft position are used as input attributes, and the output is the CAPS-based region, which is available from 2004 to 2012. We then use the trained classifier to identify Cassini's magnetospheric regions for times after 2012, when CAPS data is no longer available. Training accuracy is evaluated by testing the classifier performance on a time range of known regions that the classifier has never seen. Preliminary results indicate a 68% accuracy on such test data. Other techniques are being tested that may increase this performance. We present the data and algorithms used, and will describe the latest results, including the magnetospheric regions post-2012 identified by the algorithm.

  6. The dynamic programming high-order Dynamic Bayesian Networks learning for identifying effective connectivity in human brain from fMRI.

    Science.gov (United States)

    Dang, Shilpa; Chaudhury, Santanu; Lall, Brejesh; Roy, Prasun Kumar

    2017-06-15

    Determination of effective connectivity (EC) among brain regions using fMRI is helpful in understanding the underlying neural mechanisms. Dynamic Bayesian Networks (DBNs) are an appropriate class of probabilistic graphical temporal-models that have been used in past to model EC from fMRI, specifically order-one. High-order DBNs (HO-DBNs) have still not been explored for fMRI data. A fundamental problem faced in the structure-learning of HO-DBN is high computational-burden and low accuracy by the existing heuristic search techniques used for EC detection from fMRI. In this paper, we propose using dynamic programming (DP) principle along with integration of properties of scoring-function in a way to reduce search space for structure-learning of HO-DBNs and finally, for identifying EC from fMRI which has not been done yet to the best of our knowledge. The proposed exact search-&-score learning approach HO-DBN-DP is an extension of the technique which was originally devised for learning a BN's structure from static data (Singh and Moore, 2005). The effectiveness in structure-learning is shown on synthetic fMRI dataset. The algorithm reaches globally-optimal solution in appreciably reduced time-complexity than the static counterpart due to integration of properties. The proof of optimality is provided. The results demonstrate that HO-DBN-DP is comparably more accurate and faster than currently used structure-learning algorithms used for identifying EC from fMRI. The real data EC from HO-DBN-DP shows consistency with previous literature than the classical Granger Causality method. Hence, the DP algorithm can be employed for reliable EC estimates from experimental fMRI data. Copyright © 2017 Elsevier B.V. All rights reserved.

  7. Service Learning in Undergraduate Nursing Education: Strategies to Facilitate Meaningful Reflection.

    Science.gov (United States)

    Schmidt, Nola A; Brown, Janet M

    2016-01-01

    Service learning is recognized as a valuable pedagogy involving experiential learning, reflection, and reciprocal learning. Students develop critical thinking and social awareness by using the crucial activity of reflecting upon their experiential learning with community partners. The purpose of this paper is to demystify the process of reflection by identifying best practices to enhance reflection and offering suggestions for grading. By understanding "the what" and "the how" of reflection, educators can implement service learning experiences designed to include the essential component of reflection. Strategies for facilitating meaningful reflection are described including descriptions of what students should reflect upon and how to initiate reflection through writing, reading, doing, and telling. Grading rubrics are suggested to facilitate evaluation of student reflection. When properly implemented, service learning encourages students to be good citizens of the world. By using best practices associated with reflection, students can be challenged to think critically about the world and how their service can achieve community goals. Copyright © 2016. Published by Elsevier Inc.

  8. Learning in context: identifying gaps in research on the transfer of medical communication skills to the clinical workplace.

    NARCIS (Netherlands)

    Eertwegh, V. van den; Dulmen, S. van; Dalen, J. van; Scherpbier, A.J.J.A.; Vleuten, C.P.M. van der

    2013-01-01

    Objective: In order to reduce the inconsistencies of findings and the apparent low transfer of communication skills from training to medical practice, this narrative review identifies some main gaps in research on medical communication skills training and presents insights from theories on learning

  9. Learning in context: identifying gaps in research on the transfer of medical communication skills to the clinical workplace

    NARCIS (Netherlands)

    Eertwegh, V. van den; Dulmen, S. van; Dalen, J. Van; Scherpbier, A.J.J.A.; Vleuten, C.P.M. van der

    2013-01-01

    OBJECTIVE: In order to reduce the inconsistencies of findings and the apparent low transfer of communication skills from training to medical practice, this narrative review identifies some main gaps in research on medical communication skills training and presents insights from theories on learning

  10. Towards identifying nurse educator competencies required for simulation-based learning: A systemised rapid review and synthesis.

    Science.gov (United States)

    Topping, Anne; Bøje, Rikke Buus; Rekola, Leena; Hartvigsen, Tina; Prescott, Stephen; Bland, Andrew; Hope, Angela; Haho, Paivi; Hannula, Leena

    2015-11-01

    This paper presents the results of a systemised rapid review and synthesis of the literature undertaken to identify competencies required by nurse educators to facilitate simulation-based learning (SBL). An international collaboration undertook a protocol-based search, retrieval and critical review. Web of Science, PubMed, CINAHL Plus, PsycInfo, ERIC, the Cochrane Library and Science Direct. The search was limited to articles published in English, 2002-2012. The search terms used: nurse*, learn*, facilitator, simula*, lecturer, competence, skill*, qualificat*, educator, health care, "patient simulation", "nursing education" and "faculty". The search yielded 2156 "hits", following a review of the abstracts, 72 full-text articles were extracted. These were screened against predetermined inclusion/exclusion criteria and nine articles were retained. Following critical appraisal, the articles were analyzed using an inductive approach to extract statements for categorization and synthesis as competency statements. This review confirmed that there was a modest amount of empirical evidence on which to base a competency framework. Those papers that provided descriptions of educator preparation identified simulation-based workshops, or experiential training, as the most common approaches for enhancing skills. SBL was not associated with any one theoretical perspective. Delivery of SBL appeared to demand competencies associated with planning and designing simulations, facilitating learning in "safe" environments, expert nursing knowledge based on credible clinical realism, reference to evidence-based knowledge and demonstration of professional values and identity. This review derived a preliminary competency framework. This needs further development as a model for educators delivering SBL as part of nursing curricula. Copyright © 2015. Published by Elsevier Ltd.

  11. Using machine learning to identify air pollution exposure profiles associated with early cognitive skills among U.S. children

    International Nuclear Information System (INIS)

    Stingone, Jeanette A.; Pandey, Om P.; Claudio, Luz; Pandey, Gaurav

    2017-01-01

    Data-driven machine learning methods present an opportunity to simultaneously assess the impact of multiple air pollutants on health outcomes. The goal of this study was to apply a two-stage, data-driven approach to identify associations between air pollutant exposure profiles and children's cognitive skills. Data from 6900 children enrolled in the Early Childhood Longitudinal Study, Birth Cohort, a national study of children born in 2001 and followed through kindergarten, were linked to estimated concentrations of 104 ambient air toxics in the 2002 National Air Toxics Assessment using ZIP code of residence at age 9 months. In the first-stage, 100 regression trees were learned to identify ambient air pollutant exposure profiles most closely associated with scores on a standardized mathematics test administered to children in kindergarten. In the second-stage, the exposure profiles frequently predicting lower math scores were included within linear regression models and adjusted for confounders in order to estimate the magnitude of their effect on math scores. This approach was applied to the full population, and then to the populations living in urban and highly-populated urban areas. Our first-stage results in the full population suggested children with low trichloroethylene exposure had significantly lower math scores. This association was not observed for children living in urban communities, suggesting that confounding related to urbanicity needs to be considered within the first-stage. When restricting our analysis to populations living in urban and highly-populated urban areas, high isophorone levels were found to predict lower math scores. Within adjusted regression models of children in highly-populated urban areas, the estimated effect of higher isophorone exposure on math scores was −1.19 points (95% CI −1.94, −0.44). Similar results were observed for the overall population of urban children. This data-driven, two-stage approach can be

  12. Learning and Teaching Styles in Management Education: Identifying, Analyzing, and Facilitating

    Science.gov (United States)

    Provitera, Michael J.; Esendal, Esin

    2008-01-01

    Drawing on the learning theory of the Felder-Silverman model (2002), and the work of A.F. Grasha, this paper provides a brief review of teaching and learning styles used in management education. Professors, like students, demonstrate a number of learning styles and a professor has some responsibility to organize and present a course to satisfy…

  13. Designing and Evaluating Conative Game-Based Learning Scenarios

    DEFF Research Database (Denmark)

    Schønau-Fog, Henrik

    2014-01-01

    It is an essential prerequisite to design for motivation in game-based learning applications, tools and activities. However, how is it possible to design and evaluate motivational game-based learning scenarios in a systematic process-oriented manner based on conation and player engagement? While...... of ‘continuation desire’ such as interfacing with the scenario, exploration and socialising. This paper aims to combine the concepts of Player Engagement, Conation and Continuation Desire by focusing on the conative aspects which are the essential drivers for the desire to continue any learning activity......-based learning scenarios....

  14. Identifying Learning Preferences in Vocational Education and Training Classroom Settings

    Science.gov (United States)

    Smith, Peter J.

    2006-01-01

    This research was designed to assess whether teachers and trainers of vocational learners noted and valued differences in individual learning preferences and, if so, how those differences were observed in natural classroom, workshop or other formal learning settings. Data were collected from six vocational education and training (VET) learning…

  15. KNOWLEDGE TRANSFER AND LEARNING: PROBLEMS OF KNOWLEDGE TRANSFER ASSOCIATED WITH TRYING TO SHORT-CIRCUIT THE LEARNING CYCLE

    Directory of Open Access Journals (Sweden)

    Sue Newell

    2006-11-01

    Full Text Available Knowledge is considered to be a key organizational resource in the 21st century and the knowledge management ‘movement’ has alerted organizations to the fact that they should more strategically exploit their knowledge assets. Companies are thus lured by the suggestion that they can gain competitive advantage by the more astute management of their knowledge base and in particular, by the transfer of knowledge across individuals, groups and organizational units, using IT to accomplish this. In this paper, we reflect on this common view of knowledge transfer. More specifically, we question an implication of this view - essentially the possibility of short-circuiting the learning cycle, so that individuals do not have to rely on their personal or shared experiences to identify better practices, but can learn from the codified lessons of others in IT systems. More importantly, we consider the characteristics of knowledge – that knowledge is distributed, ambiguous and disruptive – that makes its transfer highly problematic. Drawing on case research, we relate this to the learning cycle (Kolb 1984 and thereby identify barriers to knowledge transfer. We conclude by considering ways of overcoming these barriers by emphasizing the importance of social systems alongside technical systems.

  16. Strategic leadership: the essential skills.

    Science.gov (United States)

    Schoemaker, Paul J H; Krupp, Steve; Howland, Samantha

    2013-01-01

    The more uncertain your environment, the greater the opportunity--if you have the leadership skills to capitalize on it. Research at the Wharton school and at the authors' consulting firm, involving more than 20,000 executives to date, has identified six skills that, when mastered and used in concert, allow leaders to think strategically and navigate the unknown effectively. They are the abilities to anticipate, challenge, interpret, decide, align, and learn. This article describes the six skills in detail and includes a self-assessment that will enable you to identify the ones that most need your attention. The authors have found that strength in one skill cannot easily compensate for a deficit in another. An adaptive strategic leader has learned to apply all six at once.

  17. Essential Tremor: What We Can Learn from Current Pharmacotherapy

    Directory of Open Access Journals (Sweden)

    William Ondo

    2016-03-01

    Full Text Available Background: The pathophysiology of essential tremor, especially at the cellular level, is poorly understood. Although no drug has been specifically designed to treat essential tremor, several medications improve tremor, and others worsen it. Studying the mechanism of actions of these medications can help our understanding of tremor pathophysiology and contribute to future rational drug design. Methods: We reviewed literature, concentrating on mechanisms of action, of various medications that mitigate tremor. Results: Many medications have multiple mechanisms of actions, making simple correlations difficult. Medications that increase the duration of opening of gamma-aminobutyric acid (GABA-A receptors are most consistently associated with tremor improvement. Interestingly, drugs that increase GABA availability have not been associated with improved tremor. Other mechanisms possibly associated with tremor improvement include antagonism of alpha-2 delta subunits associated with calcium channels, inhibition of carbonic anhydrase, and inhibition of the synaptic vesicle protein 2A. Drugs that block voltage-gaited sodium channels do not affect tremor. The ideal beta-adrenergic blocker requires B2 affinity (non-cardiac selective, has no sympathomimetic properties, does not require membrane stabilization properties, and may benefit from good central nervous system penetration. Discussion: To date, serendipitous observations have provided most of our understanding of tremor cellular physiology. Based on similarities to currently effective drugs or rational approximations and inferences, several currently available agents should be considered for tremor trials.

  18. Essential Tremor: What We Can Learn from Current Pharmacotherapy.

    Science.gov (United States)

    Ondo, William

    2016-01-01

    The pathophysiology of essential tremor, especially at the cellular level, is poorly understood. Although no drug has been specifically designed to treat essential tremor, several medications improve tremor, and others worsen it. Studying the mechanism of actions of these medications can help our understanding of tremor pathophysiology and contribute to future rational drug design. We reviewed literature, concentrating on mechanisms of action, of various medications that mitigate tremor. Many medications have multiple mechanisms of actions, making simple correlations difficult. Medications that increase the duration of opening of gamma-aminobutyric acid (GABA)-A receptors are most consistently associated with tremor improvement. Interestingly, drugs that increase GABA availability have not been associated with improved tremor. Other mechanisms possibly associated with tremor improvement include antagonism of alpha-2 delta subunits associated with calcium channels, inhibition of carbonic anhydrase, and inhibition of the synaptic vesicle protein 2A. Drugs that block voltage-gaited sodium channels do not affect tremor. The ideal beta-adrenergic blocker requires B2 affinity (non-cardiac selective), has no sympathomimetic properties, does not require membrane stabilization properties, and may benefit from good central nervous system penetration. To date, serendipitous observations have provided most of our understanding of tremor cellular physiology. Based on similarities to currently effective drugs or rational approximations and inferences, several currently available agents should be considered for tremor trials.

  19. Students' perceptions of learning environment in Guilan University of Medical Sciences

    Directory of Open Access Journals (Sweden)

    Mahdokht Taheri

    2013-05-01

    Full Text Available  Background and purpose: There is an increasing interest and concern regarding the role of learning environment in undergraduate medical education in recent years. Educational environment is one of the most important factors determining the success of an effective curriculum. The quality of educational environment has been identified to be crucial for effective learning.we compared the perceptions of Basic sciences students and clinical phase regarding the learning environment and also to identify the gender related differences in their perceptions.Method: In this study, the Dundee Ready Education Environment Measure (DREEM inventory was used. The total score for all subscales is 200. In this study, DREEM was administered to undergraduate medical students of basic sciences students (n=120, and clinical phase (n= 100 and the scores were compared using a nonparametric test.Results Between the two batches, basic sciences students were found to be more than satisfied with the learning environment at GUMS compared to the clinical phase. Gender wise, there was not much difference in the students' perceptions.Conclusion: This study revealed that both groups of students perceived learning environment relatively more Negative than Positive in GUMS. It is essential for faculty members to place more efforts on observing principals of instructional design and create an appropriate educational environment in order to provide a better learning for students.Keywords:LEARNING ENVIRONMENT,,MEDICAL SCHOOL

  20. Learning Theory Foundations of Simulation-Based Mastery Learning.

    Science.gov (United States)

    McGaghie, William C; Harris, Ilene B

    2018-06-01

    Simulation-based mastery learning (SBML), like all education interventions, has learning theory foundations. Recognition and comprehension of SBML learning theory foundations are essential for thoughtful education program development, research, and scholarship. We begin with a description of SBML followed by a section on the importance of learning theory foundations to shape and direct SBML education and research. We then discuss three principal learning theory conceptual frameworks that are associated with SBML-behavioral, constructivist, social cognitive-and their contributions to SBML thought and practice. We then discuss how the three learning theory frameworks converge in the course of planning, conducting, and evaluating SBML education programs in the health professions. Convergence of these learning theory frameworks is illustrated by a description of an SBML education and research program in advanced cardiac life support. We conclude with a brief coda.

  1. Identifying Students' Difficulties When Learning Technical Skills via a Wireless Sensor Network

    Science.gov (United States)

    Wang, Jingying; Wen, Ming-Lee; Jou, Min

    2016-01-01

    Practical training and actual application of acquired knowledge and techniques are crucial for the learning of technical skills. We established a wireless sensor network system (WSNS) based on the 5E learning cycle in a practical learning environment to improve students' reflective abilities and to reduce difficulties for the learning of technical…

  2. ZCURVE 3.0: identify prokaryotic genes with higher accuracy as well as automatically and accurately select essential genes

    Science.gov (United States)

    Hua, Zhi-Gang; Lin, Yan; Yuan, Ya-Zhou; Yang, De-Chang; Wei, Wen; Guo, Feng-Biao

    2015-01-01

    In 2003, we developed an ab initio program, ZCURVE 1.0, to find genes in bacterial and archaeal genomes. In this work, we present the updated version (i.e. ZCURVE 3.0). Using 422 prokaryotic genomes, the average accuracy was 93.7% with the updated version, compared with 88.7% with the original version. Such results also demonstrate that ZCURVE 3.0 is comparable with Glimmer 3.02 and may provide complementary predictions to it. In fact, the joint application of the two programs generated better results by correctly finding more annotated genes while also containing fewer false-positive predictions. As the exclusive function, ZCURVE 3.0 contains one post-processing program that can identify essential genes with high accuracy (generally >90%). We hope ZCURVE 3.0 will receive wide use with the web-based running mode. The updated ZCURVE can be freely accessed from http://cefg.uestc.edu.cn/zcurve/ or http://tubic.tju.edu.cn/zcurveb/ without any restrictions. PMID:25977299

  3. Quality Assurance in Distance and Open Learning

    Science.gov (United States)

    Mahafzah, Mohammed Hasan

    2012-01-01

    E-learning has become an increasingly important teaching and learning mode in educational institutions and corporate training. The evaluation of E-learning, however, is essential for the quality assurance of E-learning courses. This paper constructs a three-phase evaluation model for E-learning courses, which includes development, process, and…

  4. Harnessing the Power of Learning Management Systems: An E-Learning Approach for Professional Development.

    Science.gov (United States)

    White, Meagan; Shellenbarger, Teresa

    E-learning provides an alternative approach to traditional professional development activities. A learning management system may help nursing professional development practitioners deliver content more efficiently and effectively; however, careful consideration is needed during planning and implementation. This article provides essential information in the selection and use of a learning management system for professional development.

  5. Project Management: Essential Skill of Nurse Informaticists.

    Science.gov (United States)

    Sipes, Carolyn

    2016-01-01

    With the evolution of nursing informatics (NI), the list of skills has advanced from the original definition that included 21 competencies to 168 basic competencies identified in the TIGER-based Assessment of Nursing Informatics Competencies (TANIC) and 178 advanced skills in the Nursing Informatics Competency Assessment (NICA) L3/L4 developed by Chamberlain College of Nursing, Nursing Informatics Research Team (NIRT). Of these competencies, project management is one of the most important essentials identified since it impacts all areas of NI skills and provides an organizing framework for processes and projects including skills such as design, planning, implementation, follow-up and evaluation. Examples of job roles that specifically require project management skills as an essential part of the NI functions include management, administration, leadership, faculty, graduate level master's and doctorate practicum courses. But first, better understanding of the NI essential skills is vital before adequate education and training programs can be developed.

  6. Learning Spaces

    CERN Document Server

    Falmagne, Jean-Claude

    2011-01-01

    Learning spaces offer a rigorous mathematical foundation for practical systems of educational technology. Learning spaces generalize partially ordered sets and are special cases of knowledge spaces. The various structures are investigated from the standpoints of combinatorial properties and stochastic processes. Leaning spaces have become the essential structures to be used in assessing students' competence of various topics. A practical example is offered by ALEKS, a Web-based, artificially intelligent assessment and learning system in mathematics and other scholarly fields. At the heart of A

  7. MEDICI: Mining Essentiality Data to Identify Critical Interactions for Cancer Drug Target Discovery and Development | Office of Cancer Genomics

    Science.gov (United States)

    Protein-protein interactions (PPIs) mediate the transmission and regulation of oncogenic signals that are essential to cellular proliferation and survival, and thus represent potential targets for anti-cancer therapeutic discovery. Despite their significance, there is no method to experimentally disrupt and interrogate the essentiality of individual endogenous PPIs. The ability to computationally predict or infer PPI essentiality would help prioritize PPIs for drug discovery and help advance understanding of cancer biology.

  8. Comparative analysis of the essential oils from normal and hairy ...

    African Journals Online (AJOL)

    The essential oils were extracted with steam distillation from normal and hairy roots of Panax japonicus C.A. Meyer. The constituents of essential oils were analyzed by gas chromatography mass spectrometry (GC-MS). The results showed that 40 and 46 kinds of compounds were identified from the essential oils of normal ...

  9. Qualitative assessment of a blended learning intervention in an undergraduate nursing course.

    Science.gov (United States)

    Hsu, Li-Ling

    2012-12-01

    Nurses are experiencing new ethical issues because of global developments and changes in the healthcare environment. Blended learning is one of the various methods used to deliver meaningful learning experiences. Well-designed, properly administered nursing ethics education is essential for nursing students to visualize the role of professional nurses. However, a literature review shows that only a few existing studies have touched on the subject of nursing student experiences with blended learning in a nursing ethics course. This study examines how undergraduate nursing students respond to a blended learning approach in a nursing ethics course and how blended learning affects the learning process. We used a qualitative research design with in-depth interviews. Participants included 28 female undergraduate nursing students who had completed the nursing ethics course. Each interview lasted 50-100 minutes. The researcher conducted all interviews in 2009. The researcher identified six major themes and 13 subthemes from the data. The six themes included (a) enhancing thinking ability, (b) improving problem-solving skills, (c) reflecting in and on practice, (d) perceiving added workload, (e) encouraging active learning, and (f) identifying the value of nursing. Participants felt that the blended learning experience was a generally positive experience. Most participants appreciated the opportunity to take a more active role in the learning process, think about issues profoundly and critically, and exercise metacognitive powers in the thinking and decision-making process. Study findings may suggest productive ideas for fine-tuning blended learning models.

  10. Business Models for E-Learning

    OpenAIRE

    Hoppe, Gabriela; Breitner, Michael H.

    2003-01-01

    E(Electronic)-learning becomes more and more important. Reasons are the paramount importance of knowledge, life-time learning, globalization and mobility. Not all providers of e-learning products succeed in closing the gap between production costs and revenues. Especially in the academic sector e-learning projects suffer more and more from decreasing funding. For many currently active research groups it is essential to market their research results, e. g. e-learning applications, in order to ...

  11. Essential Medicines in National Constitutions: Progress Since 2008.

    Science.gov (United States)

    Katrina Perehudoff, S; Toebes, Brigit; Hogerzeil, Hans

    2016-06-01

    A constitutional guarantee of access to essential medicines has been identified as an important indicator of government commitment to the progressive realization of the right to the highest attainable standard of health. The objective of this study was to evaluate provisions on access to essential medicines in national constitutions, to identify comprehensive examples of constitutional text on medicines that can be used as a model for other countries, and to evaluate the evolution of constitutional medicines-related rights since 2008. Relevant articles were selected from an inventory of constitutional texts from WHO member states. References to states' legal obligations under international human rights law were evaluated. Twenty-two constitutions worldwide now oblige governments to protect and/or to fulfill accessibility of, availability of, and/or quality of medicines. Since 2008, state responsibilities to fulfill access to essential medicines have expanded in five constitutions, been maintained in four constitutions, and have regressed in one constitution. Government commitments to essential medicines are an important foundation of health system equity and are included increasingly in state constitutions.

  12. A Canine Audience: The Effect of Animal-Assisted Therapy on Reading Progress among Students Identified with Learning Disabilities

    Science.gov (United States)

    Griess, Julie Omodio

    2010-01-01

    This study explored the use of animal-assisted therapy with students identified with a learning disability and limited reading success. Initially, reading progress was defined as the participants' comprehension rate obtained from an oral Informal Reading Inventory (IRI) passage. The nature of the Informal Reading Inventory requires the…

  13. Generalized query-based active learning to identify differentially methylated regions in DNA.

    Science.gov (United States)

    Haque, Md Muksitul; Holder, Lawrence B; Skinner, Michael K; Cook, Diane J

    2013-01-01

    Active learning is a supervised learning technique that reduces the number of examples required for building a successful classifier, because it can choose the data it learns from. This technique holds promise for many biological domains in which classified examples are expensive and time-consuming to obtain. Most traditional active learning methods ask very specific queries to the Oracle (e.g., a human expert) to label an unlabeled example. The example may consist of numerous features, many of which are irrelevant. Removing such features will create a shorter query with only relevant features, and it will be easier for the Oracle to answer. We propose a generalized query-based active learning (GQAL) approach that constructs generalized queries based on multiple instances. By constructing appropriately generalized queries, we can achieve higher accuracy compared to traditional active learning methods. We apply our active learning method to find differentially DNA methylated regions (DMRs). DMRs are DNA locations in the genome that are known to be involved in tissue differentiation, epigenetic regulation, and disease. We also apply our method on 13 other data sets and show that our method is better than another popular active learning technique.

  14. Making Boundaries Great Again: Essentialism and Support for Boundary-Enhancing Initiatives.

    Science.gov (United States)

    Roberts, Steven O; Ho, Arnold K; Rhodes, Marjorie; Gelman, Susan A

    2017-12-01

    Psychological essentialism entails a focus on category boundaries (e.g., categorizing people as men or women) and an increase in the conceptual distance between those boundaries (e.g., accentuating the differences between men and women). Across eight studies, we demonstrate that essentialism additionally entails an increase in support for boundary-enhancing legislation, policies, and social services, and that it does so under conditions that disadvantage social groups, as well as conditions that benefit them. First, individual differences in essentialism were associated with support for legislation mandating that transgender people use restrooms corresponding with their biological sex, and with support for the boundary-enhancing policies of the 2016 then-presumptive Republican presidential nominee (i.e., Donald Trump). Second, essentialism was associated with support for same-gender classrooms designed to promote student learning, as well as support for services designed to benefit LGBTQ (lesbian, gay, bisexual, transgender, queer) individuals. These findings demonstrate the boundary-enhancing implications of essentialism and their social significance.

  15. Student teachers' experiences of a learning programme based on ...

    African Journals Online (AJOL)

    The aim of this article is to explore student teachers' experiences of the content dimension of the essential features of technology and Technology Education in an OBE related learning programme. To achieve this, a learning programme was developed using criteria derived from these essential features. In gauging ...

  16. Essential Java for Scientists and Engineers

    CERN Document Server

    Hahn, Brian D; Malan, Katherine M

    2003-01-01

    Essential Java serves as an introduction to the programming language, Java, for scientists and engineers, and can also be used by experienced programmers wishing to learn Java as an additional language. The book focuses on how Java, and object-oriented programming, can be used to solve science and engineering problems. Many examples are included from a number of different scientific and engineering areas, as well as from business and everyday life. Pre-written packages of code are provided to help in such areas as input/output, matrix manipulation and scientific graphing. Java source code and

  17. Acquired RhD mosaicism identifies fibrotic transformation of thrombopoietin receptor-mutated essential thrombocythemia.

    Science.gov (United States)

    Montemayor-Garcia, Celina; Coward, Rebecca; Albitar, Maher; Udani, Rupa; Jain, Prachi; Koklanaris, Eleftheria; Battiwalla, Minoo; Keel, Siobán; Klein, Harvey G; Barrett, A John; Ito, Sawa

    2017-09-01

    Acquired copy-neutral loss of heterozygosity has been described in myeloid malignant progression with an otherwise normal karyotype. A 65-year-old woman with MPL-mutated essential thrombocythemia and progression to myelofibrosis was noted upon routine pretransplant testing to have mixed field reactivity with anti-D and an historic discrepancy in RhD type. The patient had never received transfusions or transplantation. Gel immunoagglutination revealed group A red blood cells and a mixed-field reaction for the D phenotype, with a predominant D-negative population and a small subset of circulating red blood cells carrying the D antigen. Subsequent genomic microarray single nucleotide polymorphism profiling revealed copy-neutral loss of heterozygosity of chromosome 1 p36.33-p34.2, a known molecular mechanism underlying fibrotic progression of MPL-mutated essential thrombocythemia. The chromosomal region affected by this copy-neutral loss of heterozygosity encompassed the RHD, RHCE, and MPL genes. We propose a model of chronological molecular events that is supported by RHD zygosity assays in peripheral lymphoid and myeloid-derived cells. Copy-neutral loss of heterozygosity events that lead to clonal selection and myeloid malignant progression may also affect the expression of adjacent unrelated genes, including those encoding for blood group antigens. Detection of mixed-field reactions and investigation of discrepant blood typing results are important for proper transfusion support of these patients and can provide useful surrogate markers of myeloproliferative disease progression. © 2017 AABB.

  18. A forward genetic screen reveals essential and non-essential RNAi factors in Paramecium tetraurelia

    Science.gov (United States)

    Marker, Simone; Carradec, Quentin; Tanty, Véronique; Arnaiz, Olivier; Meyer, Eric

    2014-01-01

    In most eukaryotes, small RNA-mediated gene silencing pathways form complex interacting networks. In the ciliate Paramecium tetraurelia, at least two RNA interference (RNAi) mechanisms coexist, involving distinct but overlapping sets of protein factors and producing different types of short interfering RNAs (siRNAs). One is specifically triggered by high-copy transgenes, and the other by feeding cells with double-stranded RNA (dsRNA)-producing bacteria. In this study, we designed a forward genetic screen for mutants deficient in dsRNA-induced silencing, and a powerful method to identify the relevant mutations by whole-genome sequencing. We present a set of 47 mutant alleles for five genes, revealing two previously unknown RNAi factors: a novel Paramecium-specific protein (Pds1) and a Cid1-like nucleotidyl transferase. Analyses of allelic diversity distinguish non-essential and essential genes and suggest that the screen is saturated for non-essential, single-copy genes. We show that non-essential genes are specifically involved in dsRNA-induced RNAi while essential ones are also involved in transgene-induced RNAi. One of the latter, the RNA-dependent RNA polymerase RDR2, is further shown to be required for all known types of siRNAs, as well as for sexual reproduction. These results open the way for the dissection of the genetic complexity, interconnection, mechanisms and natural functions of RNAi pathways in P. tetraurelia. PMID:24860163

  19. Chemical composition of essential oil of exudates of Dryobalanops ...

    African Journals Online (AJOL)

    Purpose: To identify the chemical composition of essential oil from the exudates of Dryobalanops aromatica from Malaysia. Methods: Exudate was collected from D. aromatica and subjected to fractional distillation to obtain essential oil. Gas chromatography-mass spectrometry (GC-MS) was used to characterize the ...

  20. Stable Sparse Classifiers Identify qEEG Signatures that Predict Learning Disabilities (NOS) Severity.

    Science.gov (United States)

    Bosch-Bayard, Jorge; Galán-García, Lídice; Fernandez, Thalia; Lirio, Rolando B; Bringas-Vega, Maria L; Roca-Stappung, Milene; Ricardo-Garcell, Josefina; Harmony, Thalía; Valdes-Sosa, Pedro A

    2017-01-01

    In this paper, we present a novel methodology to solve the classification problem, based on sparse (data-driven) regressions, combined with techniques for ensuring stability, especially useful for high-dimensional datasets and small samples number. The sensitivity and specificity of the classifiers are assessed by a stable ROC procedure, which uses a non-parametric algorithm for estimating the area under the ROC curve. This method allows assessing the performance of the classification by the ROC technique, when more than two groups are involved in the classification problem, i.e., when the gold standard is not binary. We apply this methodology to the EEG spectral signatures to find biomarkers that allow discriminating between (and predicting pertinence to) different subgroups of children diagnosed as Not Otherwise Specified Learning Disabilities (LD-NOS) disorder. Children with LD-NOS have notable learning difficulties, which affect education but are not able to be put into some specific category as reading (Dyslexia), Mathematics (Dyscalculia), or Writing (Dysgraphia). By using the EEG spectra, we aim to identify EEG patterns that may be related to specific learning disabilities in an individual case. This could be useful to develop subject-based methods of therapy, based on information provided by the EEG. Here we study 85 LD-NOS children, divided in three subgroups previously selected by a clustering technique over the scores of cognitive tests. The classification equation produced stable marginal areas under the ROC of 0.71 for discrimination between Group 1 vs. Group 2; 0.91 for Group 1 vs. Group 3; and 0.75 for Group 2 vs. Group1. A discussion of the EEG characteristics of each group related to the cognitive scores is also presented.

  1. 'To Philosophize is to Learn How to Die?'

    Directory of Open Access Journals (Sweden)

    Saitya Brata Das

    2008-06-01

    Full Text Available Philosophical thinking, as it is thinking of existence, is essentially finite thinking. This is to say that as thinking of existence, philosophical thinking is essentially also thinking of finitude. This ‘also' is not the accidental relationship between existence and finitude. Rather, to think existence in its finitude, insofar as existence is finite, is to think existence in its existentiality. Philosophy that gives itself the task of thinking the relationship between existence and finitude, must in the same gesture, be concerned with its own finitude: to philosophize is not only to think the finitude of existence, but the very finitude of thinking that thinks finite existence. To philosophize is not only to philosophize the finitude of existence as such, but also in so far as philosophising itself is a task which is essentially in itself finite. To assume as the task of thinking the finitude of existence is to think the very finitude of philosophical thinking: this is the profound relationship that exists between existence and philosophy, which is that philosophizing existence and an existential philosophy are essentially finite. This is perhaps what Socrates says of philosophizing: ‘to philosophize is to learn how to die.' "To philosophize is to learn how to die": this is to say, to philosophize is to learn that philosophy and existence are essentially finite. Philosophy and existence belong to finitude and gifts of finitude; therefore to philosophize is to learn how existence is this gift. To be able to learn how existence is this gift of finitude, to be able to assume this gift that makes existence essentially finite, which is to be able to assume existence at all, is to be able to die.' Learning to die' then comes to signify the ability of dying, which is in the same gesture, the ability of existing: existence, and dying at the end must be this ability, of existing and dying. Philosophizing must provide, then, the learning of this

  2. Intuitive Mathematical Knowledge as an Essential Aspect of Contemporary Adult Learning: A case of women street vendors in the city of Gaborone

    Directory of Open Access Journals (Sweden)

    Rebecca Nthogo Lekoko

    2006-04-01

    Full Text Available The findings of a phenomenological interview study with women street vendors showed a strong link between participants’ perceptions of everyday use of mathematical literacy and the speculations that mathematical use arose spontaneously in response to a practical need. The concept of intuitive mathematics as used indicates that mathematical thinking is an indispensable element of everyday conversation. Although the study finds that intuition and spontaneity are essential principles of lifelong learning, it concludes with recommendations for an empowerment curriculum that interweaves participants’ experiences and intuition with formal/academic mathematical literacy and psychosocial skills necessary for success in a highly competitive business world.

  3. Systematic identification of novel, essential host genes affecting bromovirus RNA replication.

    Directory of Open Access Journals (Sweden)

    Brandi L Gancarz

    Full Text Available Positive-strand RNA virus replication involves viral proteins and cellular proteins at nearly every replication step. Brome mosaic virus (BMV is a well-established model for dissecting virus-host interactions and is one of very few viruses whose RNA replication, gene expression and encapsidation have been reproduced in the yeast Saccharomyces cerevisiae. Previously, our laboratory identified ∼100 non-essential host genes whose loss inhibited or enhanced BMV replication at least 3-fold. However, our isolation of additional BMV-modulating host genes by classical genetics and other results underscore that genes essential for cell growth also contribute to BMV RNA replication at a frequency that may be greater than that of non-essential genes. To systematically identify novel, essential host genes affecting BMV RNA replication, we tested a collection of ∼900 yeast strains, each with a single essential gene promoter replaced by a doxycycline-repressible promoter, allowing repression of gene expression by adding doxycycline to the growth medium. Using this strain array of ∼81% of essential yeast genes, we identified 24 essential host genes whose depleted expression reproducibly inhibited or enhanced BMV RNA replication. Relevant host genes are involved in ribosome biosynthesis, cell cycle regulation and protein homeostasis, among other cellular processes. BMV 2a(Pol levels were significantly increased in strains depleted for a heat shock protein (HSF1 or proteasome components (PRE1 and RPT6, suggesting these genes may affect BMV RNA replication by directly or indirectly modulating 2a(Pol localization, post-translational modification or interacting partners. Investigating the diverse functions of these newly identified essential host genes should advance our understanding of BMV-host interactions and normal cellular pathways, and suggest new modes of virus control.

  4. Antimicrobial effect of essential oils: a systematic review

    Directory of Open Access Journals (Sweden)

    E Sadeghi

    2015-08-01

    Full Text Available Regarding the harmful effects of chemical foods preservatives on human body, it is crucial to find out safe antimicrobials among essential oils and herbs. This study aimed to address the effects of different essential oils on various bacterial species through a systematic review. A wide range of published papers in national and international data bases have been searched for the relevant articles. For this reason, the keywords used in searching were: "essential oils in food", "antimicrobial effect" and "vegetable oils". Among 462 retrieved articles, 76 papers were selected for further reviewing based on their title and abstracts. Based on results, the antimicrobial effects of different essential oils on pathogenic and spoilage organisms were compared. Moreover, the most effective as well as the least effective essential oils on microbial growth were identified. It was concluded that essential oils are more effective on gram positive bacteria rather than gram negatives. Besides, it was evident that some essential oils negatively affected the useful organisms such as lactobacilli.

  5. School-community learning partnerships for sustainability: Recommended best practice and reality

    Science.gov (United States)

    Wheeler, Leone; Guevara, Jose Roberto; Smith, Jodi-Anne

    2018-05-01

    Effective partnerships across different stakeholders are essential to the collaboration required for learning cities to contribute to sustainable development. Through partnerships, formal educational institutions, such as schools and universities, play a vital role in establishing and sustaining learning cities, often by facilitating the meaningful participation of different local community members. The research presented in this article examines the characteristics of effective school-community partnerships in the literature and compares it to the results of a three-year research study which examined 16 case studies of school-community partnerships in the state of Victoria in Australia. Using participatory action research, the researchers identified four approaches to implementing partnerships for sustainability, explored challenges to achieving an idealised partnership, and made recommendations for establishing successful partnership networks. The researchers propose that partnerships be viewed as a dynamic resource rather than merely a transactional arrangement that addresses the identified challenges of time, funding, skills and personnel. Furthermore, the use of "partnership brokers", such as local government or non-government organisations, is recommended to expand the current school-centred approach to partnerships. These insights aim to contribute to providing quality education and lifelong learning through partnerships - outcomes crucial for establishing and sustaining learning cities.

  6. Active Learning with Rationales for Identifying Operationally Significant Anomalies in Aviation

    Science.gov (United States)

    Sharma, Manali; Das, Kamalika; Bilgic, Mustafa; Matthews, Bryan; Nielsen, David Lynn; Oza, Nikunj C.

    2016-01-01

    A major focus of the commercial aviation community is discovery of unknown safety events in flight operations data. Data-driven unsupervised anomaly detection methods are better at capturing unknown safety events compared to rule-based methods which only look for known violations. However, not all statistical anomalies that are discovered by these unsupervised anomaly detection methods are operationally significant (e.g., represent a safety concern). Subject Matter Experts (SMEs) have to spend significant time reviewing these statistical anomalies individually to identify a few operationally significant ones. In this paper we propose an active learning algorithm that incorporates SME feedback in the form of rationales to build a classifier that can distinguish between uninteresting and operationally significant anomalies. Experimental evaluation on real aviation data shows that our approach improves detection of operationally significant events by as much as 75% compared to the state-of-the-art. The learnt classifier also generalizes well to additional validation data sets.

  7. SupportNet: a novel incremental learning framework through deep learning and support data

    KAUST Repository

    Li, Yu; Li, Zhongxiao; Ding, Lizhong; Hu, Yuhui; Chen, Wei; Gao, Xin

    2018-01-01

    Motivation: In most biological data sets, the amount of data is regularly growing and the number of classes is continuously increasing. To deal with the new data from the new classes, one approach is to train a classification model, e.g., a deep learning model, from scratch based on both old and new data. This approach is highly computationally costly and the extracted features are likely very different from the ones extracted by the model trained on the old data alone, which leads to poor model robustness. Another approach is to fine tune the trained model from the old data on the new data. However, this approach often does not have the ability to learn new knowledge without forgetting the previously learned knowledge, which is known as the catastrophic forgetting problem. To our knowledge, this problem has not been studied in the field of bioinformatics despite its existence in many bioinformatic problems. Results: Here we propose a novel method, SupportNet, to solve the catastrophic forgetting problem efficiently and effectively. SupportNet combines the strength of deep learning and support vector machine (SVM), where SVM is used to identify the support data from the old data, which are fed to the deep learning model together with the new data for further training so that the model can review the essential information of the old data when learning the new information. Two powerful consolidation regularizers are applied to ensure the robustness of the learned model. Comprehensive experiments on various tasks, including enzyme function prediction, subcellular structure classification and breast tumor classification, show that SupportNet drastically outperforms the state-of-the-art incremental learning methods and reaches similar performance as the deep learning model trained from scratch on both old and new data. Availability: Our program is accessible at: \\url{https://github.com/lykaust15/SupportNet}.

  8. SupportNet: a novel incremental learning framework through deep learning and support data

    KAUST Repository

    Li, Yu

    2018-05-08

    Motivation: In most biological data sets, the amount of data is regularly growing and the number of classes is continuously increasing. To deal with the new data from the new classes, one approach is to train a classification model, e.g., a deep learning model, from scratch based on both old and new data. This approach is highly computationally costly and the extracted features are likely very different from the ones extracted by the model trained on the old data alone, which leads to poor model robustness. Another approach is to fine tune the trained model from the old data on the new data. However, this approach often does not have the ability to learn new knowledge without forgetting the previously learned knowledge, which is known as the catastrophic forgetting problem. To our knowledge, this problem has not been studied in the field of bioinformatics despite its existence in many bioinformatic problems. Results: Here we propose a novel method, SupportNet, to solve the catastrophic forgetting problem efficiently and effectively. SupportNet combines the strength of deep learning and support vector machine (SVM), where SVM is used to identify the support data from the old data, which are fed to the deep learning model together with the new data for further training so that the model can review the essential information of the old data when learning the new information. Two powerful consolidation regularizers are applied to ensure the robustness of the learned model. Comprehensive experiments on various tasks, including enzyme function prediction, subcellular structure classification and breast tumor classification, show that SupportNet drastically outperforms the state-of-the-art incremental learning methods and reaches similar performance as the deep learning model trained from scratch on both old and new data. Availability: Our program is accessible at: \\\\url{https://github.com/lykaust15/SupportNet}.

  9. Entrepreneurial learning requires action

    DEFF Research Database (Denmark)

    Brink, Tove; Madsen, Svend Ole

    2014-01-01

    that is enhanced by essential large-scale industry players and other SME managers are required to create action and value in learning. An open-mindedness to new learning approaches by SME managers and an open-mindedness to multi- and cross-disciplinary collaboration with SME managers by facilitators is required....

  10. Clinical workplace learning : perceived learning value of individual and group feedback in a collectivistic culture

    NARCIS (Netherlands)

    Suhoyo, Yoyo; Schönrock-Adema, Johanna; Emilia, Ova; Kuks, Jan B M; Cohen-Schotanus, Janke

    2018-01-01

    BACKGROUND: Feedback is essential for workplace learning. Most papers in this field concern individual feedback. In collectivistic cultures, however, group feedback is common educational practice. This study was conducted to investigate the perceived learning value and characteristics of individual

  11. Essential oil content and composition of aniseed

    Directory of Open Access Journals (Sweden)

    Aćimović Milica G.

    2015-01-01

    Full Text Available The field experiments were carried out during 2011 and 2012 in three localities in Vojvodina (Serbia with the application of six different fertilizer regimes aimed at determining the content and composition of the aniseed essential oil. It was found that the average essential oil content of aniseed, obtained by hydrodistillation, was 3.72%. The weather conditions during the year and the locality had a statistically significant effect on the essential oil content, while different source of fertilizers was not statistically significant for the essential oil content and its composition. Essential oil composition was determined using GC-MS technique, and a total of 15 compounds were identified. It was found that the major component was trans-anethole, 94.78% on the average, and the coefficient of variation was 2%. The second most abundant component was γ-himachalene with 2.53% (CV 28%. All other components were present in less than 1%.

  12. Chemical composition of essential oil of Psidium cattleianum var ...

    African Journals Online (AJOL)

    The aim of this study was to investigate the essential oil composition of Psidium cattleianum var. lucidum from South Africa. The essential oils were extracted by hydrodistillation and the components were identified by gas chromatography coupled to mass spectrometry (GC-MS) to determine the chemical composition of the ...

  13. Chemical composition and toxic activity of essential oil of ...

    African Journals Online (AJOL)

    During our screening program for new agrochemicals from Chinese medicinal herbs, essential oil of Caryopteris incana aerial parts was found to possess strong insecticidal activities against the maize weevil, Sitophilus zeamais. A total of 37 components of the essential oil were identified by GC and GC/MS. Estragole ...

  14. Chemical composition and antioxidant properties of the essential oil ...

    African Journals Online (AJOL)

    This study was designed to examine the in vitro antioxidant activities of the essential oil and methanol extracts of rhizoma Alpinia officinarum (small galanga) from China. The essential oil was analyzed by gas chromatography/ mass spectrometry (GC/MS) and 46 constituents were identified. Methanol extract from rhizoma A.

  15. Learning Outcomes and Affective Factors of Blended Learning of English for Library Science

    Science.gov (United States)

    Wentao, Chen; Jinyu, Zhang; Zhonggen, Yu

    2016-01-01

    English for Library Science is an essential course for students to command comprehensive scope of library knowledge. This study aims to compare the learning outcomes, gender differences and affective factors in the environments of blended and traditional learning. Around one thousand participants from one university were randomly selected to…

  16. Screening for Inhibitors of Essential Leishmania Glucose Transporters

    Science.gov (United States)

    2013-07-01

    Leishmania Glucose Transporters PRINCIPAL INVESTIGATOR: Scott M. Landfear, Ph.D. CONTRACTING ORGANIZATION: Oregon Health & Science...COVERED 1 July 2009- 30 June 2013 4. TITLE AND SUBTITLE 5a. CONTRACT NUMBER Screening for Inhibitors of Essential Leishmania Glucose Transporters 5b...The objective of this project was to identify compounds that selectively inhibit the essential Leishmania glucose transporters and could hence serve

  17. Carbon Stars Identified from LAMOST DR4 Using Machine Learning

    Science.gov (United States)

    Li, Yin-Bi; Luo, A.-Li; Du, Chang-De; Zuo, Fang; Wang, Meng-Xin; Zhao, Gang; Jiang, Bi-Wei; Zhang, Hua-Wei; Liu, Chao; Qin, Li; Wang, Rui; Du, Bing; Guo, Yan-Xin; Wang, Bo; Han, Zhan-Wen; Xiang, Mao-Sheng; Huang, Yang; Chen, Bing-Qiu; Chen, Jian-Jun; Kong, Xiao; Hou, Wen; Song, Yi-Han; Wang, You-Fen; Wu, Ke-Fei; Zhang, Jian-Nan; Zhang, Yong; Wang, Yue-Fei; Cao, Zi-Huang; Hou, Yong-Hui; Zhao, Yong-Heng

    2018-02-01

    In this work, we present a catalog of 2651 carbon stars from the fourth Data Release (DR4) of the Large Sky Area Multi-Object Fiber Spectroscopy Telescope (LAMOST). Using an efficient machine-learning algorithm, we find these stars from more than 7 million spectra. As a by-product, 17 carbon-enhanced metal-poor turnoff star candidates are also reported in this paper, and they are preliminarily identified by their atmospheric parameters. Except for 176 stars that could not be given spectral types, we classify the other 2475 carbon stars into five subtypes: 864 C-H, 226 C-R, 400 C-J, 266 C-N, and 719 barium stars based on a series of spectral features. Furthermore, we divide the C-J stars into three subtypes, C-J(H), C-J(R), and C-J(N), and about 90% of them are cool N-type stars as expected from previous literature. Besides spectroscopic classification, we also match these carbon stars to multiple broadband photometries. Using ultraviolet photometry data, we find that 25 carbon stars have FUV detections and that they are likely to be in binary systems with compact white dwarf companions.

  18. The map: An essential tool in the teaching-learning process of the Marxism-Leninism and History curriculum

    Directory of Open Access Journals (Sweden)

    Montero, Martiza Isabel

    2012-05-01

    Full Text Available This paper evaluates the use of maps in teaching Geography by a sample of professor at “José Marti” College of Education. A systematic use of maps constitutes one of the major problems in the teaching-learning process in the Marxism-Leninism and History Curriculum. Likewise, it has been identify as a shortcoming in graduates and in-service trainees. It would be recommendable to highlight the value and importance of maps in teaching, consequently a number of suggestions are given to lead, reflection and discussion by the teacher’s.

  19. The social essentials of learning: an experimental investigation of collaborative problem solving and knowledge construction in mathematics classrooms in Australia and China

    Science.gov (United States)

    Chan, Man Ching Esther; Clarke, David; Cao, Yiming

    2018-03-01

    Interactive problem solving and learning are priorities in contemporary education, but these complex processes have proved difficult to research. This project addresses the question "How do we optimise social interaction for the promotion of learning in a mathematics classroom?" Employing the logic of multi-theoretic research design, this project uses the newly built Science of Learning Research Classroom (ARC-SR120300015) at The University of Melbourne and equivalent facilities in China to investigate classroom learning and social interactions, focusing on collaborative small group problem solving as a way to make the social aspects of learning visible. In Australia and China, intact classes of local year 7 students with their usual teacher will be brought into the research classroom facilities with built-in video cameras and audio recording equipment to participate in purposefully designed activities in mathematics. The students will undertake a sequence of tasks in the social units of individual, pair, small group (typically four students) and whole class. The conditions for student collaborative problem solving and learning will be manipulated so that student and teacher contributions to that learning process can be distinguished. Parallel and comparative analyses will identify culture-specific interactive patterns and provide the basis for hypotheses about the learning characteristics underlying collaborative problem solving performance documented in the research classrooms in each country. The ultimate goals of the project are to generate, develop and test more sophisticated hypotheses for the optimisation of social interaction in the mathematics classroom in the interest of improving learning and, particularly, student collaborative problem solving.

  20. E-Learning Readiness in Public Secondary Schools in Kenya

    Science.gov (United States)

    Ouma, Gordon O.; Awuor, Fredrick M.; Kyambo, Benjamin

    2013-01-01

    As e-learning becomes useful to learning institutions worldwide, an assessment of e-learning readiness is essential for the successful implementation of e-learning as a platform for learning. Success in e-learning can be achieved by understanding the level of readiness of e-learning environments. To facilitate schools in Kenya to implement…

  1. A Fuzzy Logic-Based Personalized Learning System for Supporting Adaptive English Learning

    Science.gov (United States)

    Hsieh, Tung-Cheng; Wang, Tzone-I; Su, Chien-Yuan; Lee, Ming-Che

    2012-01-01

    As a nearly global language, English as a Foreign Language (EFL) programs are essential for people wishing to learn English. Researchers have noted that extensive reading is an effective way to improve a person's command of English. Choosing suitable articles in accordance with a learner's needs, interests and ability using an e-learning system…

  2. Stable Sparse Classifiers Identify qEEG Signatures that Predict Learning Disabilities (NOS Severity

    Directory of Open Access Journals (Sweden)

    Jorge Bosch-Bayard

    2018-01-01

    Full Text Available In this paper, we present a novel methodology to solve the classification problem, based on sparse (data-driven regressions, combined with techniques for ensuring stability, especially useful for high-dimensional datasets and small samples number. The sensitivity and specificity of the classifiers are assessed by a stable ROC procedure, which uses a non-parametric algorithm for estimating the area under the ROC curve. This method allows assessing the performance of the classification by the ROC technique, when more than two groups are involved in the classification problem, i.e., when the gold standard is not binary. We apply this methodology to the EEG spectral signatures to find biomarkers that allow discriminating between (and predicting pertinence to different subgroups of children diagnosed as Not Otherwise Specified Learning Disabilities (LD-NOS disorder. Children with LD-NOS have notable learning difficulties, which affect education but are not able to be put into some specific category as reading (Dyslexia, Mathematics (Dyscalculia, or Writing (Dysgraphia. By using the EEG spectra, we aim to identify EEG patterns that may be related to specific learning disabilities in an individual case. This could be useful to develop subject-based methods of therapy, based on information provided by the EEG. Here we study 85 LD-NOS children, divided in three subgroups previously selected by a clustering technique over the scores of cognitive tests. The classification equation produced stable marginal areas under the ROC of 0.71 for discrimination between Group 1 vs. Group 2; 0.91 for Group 1 vs. Group 3; and 0.75 for Group 2 vs. Group1. A discussion of the EEG characteristics of each group related to the cognitive scores is also presented.

  3. ASPECTS REGARDING THE ROLE OF FACILITATORS IN CREATIVE LEARNING AND INNOVATIVE TEACHING

    Directory of Open Access Journals (Sweden)

    TODORUȚ AMALIA VENERA

    2017-12-01

    Full Text Available In this paper I have analysed a series of facilitators that determine creativity and innovation in teaching learning processes, emphasising the role of assessment, organizational culture and information technologies as relevant and essential elements within this challenging approach to create the conditions for an intelligent development of the educational processes. Also I approached issues related to creative learning and innovative teaching in a society in which knowledge takes more and more intense forms and, they require changes and deep transformations in all educational environments. The fundamental objective was to underline the need to learn creatively and to teach innovatively, given the conditions of the development of information technologies and a deeper and deeper immersion in this information environment, with effects on involving more effectively the students in their own learning approach. Based on scientific researches, observation and comparative analyzes, I identified the facilitators which, along with the technologies, support the creative learning and innovative teaching.

  4. ZCURVE 3.0: identify prokaryotic genes with higher accuracy as well as automatically and accurately select essential genes.

    Science.gov (United States)

    Hua, Zhi-Gang; Lin, Yan; Yuan, Ya-Zhou; Yang, De-Chang; Wei, Wen; Guo, Feng-Biao

    2015-07-01

    In 2003, we developed an ab initio program, ZCURVE 1.0, to find genes in bacterial and archaeal genomes. In this work, we present the updated version (i.e. ZCURVE 3.0). Using 422 prokaryotic genomes, the average accuracy was 93.7% with the updated version, compared with 88.7% with the original version. Such results also demonstrate that ZCURVE 3.0 is comparable with Glimmer 3.02 and may provide complementary predictions to it. In fact, the joint application of the two programs generated better results by correctly finding more annotated genes while also containing fewer false-positive predictions. As the exclusive function, ZCURVE 3.0 contains one post-processing program that can identify essential genes with high accuracy (generally >90%). We hope ZCURVE 3.0 will receive wide use with the web-based running mode. The updated ZCURVE can be freely accessed from http://cefg.uestc.edu.cn/zcurve/ or http://tubic.tju.edu.cn/zcurveb/ without any restrictions. © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.

  5. Using c-Jun to identify fear extinction learning-specific patterns of neural activity that are affected by single prolonged stress.

    Science.gov (United States)

    Knox, Dayan; Stanfield, Briana R; Staib, Jennifer M; David, Nina P; DePietro, Thomas; Chamness, Marisa; Schneider, Elizabeth K; Keller, Samantha M; Lawless, Caroline

    2018-04-02

    Neural circuits via which stress leads to disruptions in fear extinction is often explored in animal stress models. Using the single prolonged stress (SPS) model of post traumatic stress disorder and the immediate early gene (IEG) c-Fos as a measure of neural activity, we previously identified patterns of neural activity through which SPS disrupts extinction retention. However, none of these stress effects were specific to fear or extinction learning and memory. C-Jun is another IEG that is sometimes regulated in a different manner to c-Fos and could be used to identify emotional learning/memory specific patterns of neural activity that are sensitive to SPS. Animals were either fear conditioned (CS-fear) or presented with CSs only (CS-only) then subjected to extinction training and testing. C-Jun was then assayed within neural substrates critical for extinction memory. Inhibited c-Jun levels in the hippocampus (Hipp) and enhanced functional connectivity between the ventromedial prefrontal cortex (vmPFC) and basolateral amygdala (BLA) during extinction training was disrupted by SPS in the CS-fear group only. As a result, these effects were specific to emotional learning/memory. SPS also disrupted inhibited Hipp c-Jun levels, enhanced BLA c-Jun levels, and altered functional connectivity among the vmPFC, BLA, and Hipp during extinction testing in SPS rats in the CS-fear and CS-only groups. As a result, these effects were not specific to emotional learning/memory. Our findings suggest that SPS disrupts neural activity specific to extinction memory, but may also disrupt the retention of fear extinction by mechanisms that do not involve emotional learning/memory. Copyright © 2017 Elsevier B.V. All rights reserved.

  6. Learning curve for intracranial angioplasty and stenting in single center.

    Science.gov (United States)

    Cai, Qiankun; Li, Yongkun; Xu, Gelin; Sun, Wen; Xiong, Yunyun; Sun, Wenshan; Bao, Yuanfei; Huang, Xianjun; Zhang, Yao; Zhou, Lulu; Zhu, Wusheng; Liu, Xinfeng

    2014-01-01

    To identify the specific caseload to overcome learning curve effect based on data from consecutive patients treated with Intracranial Angioplasty and Stenting (IAS) in our center. The Stenting and Aggressive Medical Management for Preventing Recurrent Stroke and Intracranial Stenosis trial was prematurely terminated owing to the high rate of periprocedural complications in the endovascular arm. To date, there are no data available for determining the essential caseload sufficient to overcome the learning effect and perform IAS with an acceptable level of complications. Between March 2004 and May 2012, 188 consecutive patients with 194 lesions who underwent IAS were analyzed retrospectively. The outcome variables used to assess the learning curve were periprocedural complications (included transient ischemic attack, ischemic stroke, vessel rupture, cerebral hyperperfusion syndrome, and vessel perforation). Multivariable logistic regression analysis was employed to illustrate the existence of learning curve effect on IAS. A risk-adjusted cumulative sum chart was performed to identify the specific caseload to overcome learning curve effect. The overall rate of 30-days periprocedural complications was 12.4% (24/194). After adjusting for case-mix, multivariate logistic regression analysis showed that operator experience was an independent predictor for periprocedural complications. The learning curve of IAS to overcome complications in a risk-adjusted manner was 21 cases. Operator's level of experience significantly affected the outcome of IAS. Moreover, we observed that the amount of experience sufficient for performing IAS in our center was 21 cases. Copyright © 2013 Wiley Periodicals, Inc.

  7. Machine learning in medicine cookbook

    CERN Document Server

    Cleophas, Ton J

    2014-01-01

    The amount of data in medical databases doubles every 20 months, and physicians are at a loss to analyze them. Also, traditional methods of data analysis have difficulty to identify outliers and patterns in big data and data with multiple exposure / outcome variables and analysis-rules for surveys and questionnaires, currently common methods of data collection, are, essentially, missing. Obviously, it is time that medical and health professionals mastered their reluctance to use machine learning and the current 100 page cookbook should be helpful to that aim. It covers in a condensed form the subjects reviewed in the 750 page three volume textbook by the same authors, entitled “Machine Learning in Medicine I-III” (ed. by Springer, Heidelberg, Germany, 2013) and was written as a hand-hold presentation and must-read publication. It was written not only to investigators and students in the fields, but also to jaded clinicians new to the methods and lacking time to read the entire textbooks. General purposes ...

  8. Mixed Integer Linear Programming based machine learning approach identifies regulators of telomerase in yeast.

    Science.gov (United States)

    Poos, Alexandra M; Maicher, André; Dieckmann, Anna K; Oswald, Marcus; Eils, Roland; Kupiec, Martin; Luke, Brian; König, Rainer

    2016-06-02

    Understanding telomere length maintenance mechanisms is central in cancer biology as their dysregulation is one of the hallmarks for immortalization of cancer cells. Important for this well-balanced control is the transcriptional regulation of the telomerase genes. We integrated Mixed Integer Linear Programming models into a comparative machine learning based approach to identify regulatory interactions that best explain the discrepancy of telomerase transcript levels in yeast mutants with deleted regulators showing aberrant telomere length, when compared to mutants with normal telomere length. We uncover novel regulators of telomerase expression, several of which affect histone levels or modifications. In particular, our results point to the transcription factors Sum1, Hst1 and Srb2 as being important for the regulation of EST1 transcription, and we validated the effect of Sum1 experimentally. We compiled our machine learning method leading to a user friendly package for R which can straightforwardly be applied to similar problems integrating gene regulator binding information and expression profiles of samples of e.g. different phenotypes, diseases or treatments. © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

  9. Essential pathway identification: from in silico analysis to potential antifungal targets in Aspergillus fumigatus

    DEFF Research Database (Denmark)

    Thykær, Jette; Andersen, Mikael Rørdam; Baker, S. E.

    2009-01-01

    with the reactions, we identified orthologous candidate essential genes in Aspergillus fumigatus. Our predictions are validated in part by the modes of action for some antifungal drugs and by molecular genetic studies of essential genes in A. fumigatus and other fungi. The use of metabolic models to predict...... of 1190 biochemically unique reactions that are associated with 871 open reading frames. Through a systematic in silico deletion of single metabolic reactions using this model, several essential metabolic pathways were identified for A. niger. A total of 138 reactions were identified as being essential...... biochemical reactions during growth on a minimal glucose medium. The majority of the reactions grouped into essential biochemical pathways covering cell wall biosynthesis, amino acid biosynthesis, energy metabolism and purine and pyrimidine metabolism. Based on the A. niger open reading frames associated...

  10. The 4-H Club Meeting: An Essential Youth Development Strategy

    Science.gov (United States)

    Cassels, Alicia; Post, Liz; Nestor, Patrick I.

    2015-01-01

    The club meeting has served as a key delivery method for 4-H programming across the United States throughout its history. A survey of WV 4-H community club members reinforces the body of evidence that the 4-H club meeting is an effective vehicle for delivering positive youth learning opportunities within the umbrella of the Essential Elements of…

  11. Managing Resistance: An Essential Consulting Skill for Learning Disabilities Teachers.

    Science.gov (United States)

    Friend, Marilyn; Bauwens, Jeanne

    1988-01-01

    The article explores characteristics of resistance by general educators to special education consultation programs. It offers teachers of learning disabled students strategies for managing specific types of resistance as well as a general plan for minimizing resistance as well as suggestions for evaluating the impact of resistance management…

  12. Findings from a Clinical Learning Needs Survey at Ireland's first children's hospice.

    Science.gov (United States)

    Quinn, Claire; Hillis, Rowan

    2015-12-01

    Caring for children with life-limiting conditions places exceptional demands on health professionals. Staff require the optimal skills and expertise necessary to provide the highest quality of care and to achieve this it is essential to understand their learning requirements. The aim is to share the main findings from a Clinical Learning Needs Survey conducted at LauraLynn, currently Ireland's only children's hospice. To date no other Irish service has conducted a formal identification of professional learning and development needs specific to the Irish context. The findings from the study assist workforce planning by providing a glimpse into the immediate study needs of staff working in a children's palliative care setting. The study had two main aims: a) Assist clinical staff within one organisation to identify their own professional learning priorities in children's palliative care and b) Inform the design and delivery of a responsive suite of workshops, programmes and study sessions for children's palliative care. The study identified the key learning needs as end-of-life care, palliative emergencies, communication skill development and bereavement support. These findings are similar to those found internationally and demonstrate the commitment of a new organisation to ensure that specific employee learning requirements are met if the organisation and wider specialty of Irish children's palliative care is to continue its evolution.

  13. An Instructional Design Framework to Improve Student Learning in a First-Year Engineering Class

    Directory of Open Access Journals (Sweden)

    Kumar Yelamarthi

    2016-12-01

    Full Text Available Increasingly, numerous universities have identified benefits of flipped learning environments and have been encouraging instructors to adapt such methodologies in their respective classrooms, at a time when departments are facing significant budget constraints. This article proposes an instructional design framework utilized to strategically enhance traditional flipped methodologies in a first-year engineering course, by using low-cost technology aids and proven pedagogical techniques to enhance student learning. Implemented in a first-year engineering course, this modified flipped model demonstrated an improved student awareness of essential engineering concepts and improved academic performance through collaborative and active learning activities, including flipped learning methodologies, without the need for expensive, formal active learning spaces. These findings have been validated through two studies and have shown similar results confirming that student learning is improved by the implementation of multi-pedagogical strategies in-formed by the use of an instructional design in a traditional classroom setting.

  14. Identifying and Remediating Student Misconceptions in Introductory Biology via Writing-to-Learn Assignments and Peer Review.

    Science.gov (United States)

    Halim, Audrey S; Finkenstaedt-Quinn, Solaire A; Olsen, Laura J; Gere, Anne Ruggles; Shultz, Ginger V

    2018-06-01

    Student misconceptions are an obstacle in science, technology, engineering, and mathematics courses and unless remediated may continue causing difficulties in learning as students advance in their studies. Writing-to-learn assignments (WTL) are characterized by their ability to promote in-depth conceptual learning by allowing students to explore their understanding of a topic. This study sought to determine whether and what types of misconceptions are elicited by WTL assignments and how the process of peer review and revision leads to remediation or propagation of misconceptions. We examined four WTL assignments in an introductory biology course in which students first wrote about content by applying it to a realistic scenario, then participated in a peer-review process before revising their work. Misconceptions were identified in all four assignments, with the greatest number pertaining to protein structure and function. Additionally, in certain contexts, students used scientific terminology incorrectly. Analysis of the drafts and peer-review comments generated six profiles by which misconceptions were addressed through the peer-review process. The prevalent mode of remediation arose through directed peer-review comments followed by correction during revision. It was also observed that additional misconceptions were elicited as students revised their writing in response to general peer-review suggestions.

  15. Central Waste Complex (CWC) essential/support drawing list

    International Nuclear Information System (INIS)

    WHITLOCK, R.W.

    1999-01-01

    Essential and supporting engineering drawings for the Central Waste Complex (CWC) are identified in this document. The purpose of the document is to describe the criteria used to identify drawings and the plan for updating and maintaining their accuracy. This document supports HNF-PRO-242 and HNF-PRO-440

  16. Linking Essential Learning Outcomes and Interprofessional Collaborative Practice Competency in Health Science Undergraduates

    Science.gov (United States)

    Reed, Carole-Rae; Garcia, Luis Ivan; Slusser, Margaret M.; Konowitz, Sharon; Yep, Jewelry

    2017-01-01

    Assessing student learning outcomes and determining achievement of the Interprofessional Collaborative Practice (IPCEP) Core Competency of Values/Ethics in a generic pre-professional Bachelor of Science in Health Science (BSHS) program is challenging. A course level Student Learning Outcome (SLO) is: "….articulate the impact of personal…

  17. Pre-Service Teachers Identify Connections between Teaching-Learning and Literacy Strategies

    Science.gov (United States)

    Liu, Kimy; Robinson, Quintin; Braun-Monegan, Jenelle

    2016-01-01

    This study explores the transformation of pre-service teachers in their attainment of effective teaching skills. Pre-service teachers learn about the learning-to-read process and implementations of component skills of teaching reading within the practicum. More importantly, pre-service teachers achieve a meaningful understanding of the…

  18. Assessing Uncertainty in Deep Learning Techniques that Identify Atmospheric Rivers in Climate Simulations

    Science.gov (United States)

    Mahesh, A.; Mudigonda, M.; Kim, S. K.; Kashinath, K.; Kahou, S.; Michalski, V.; Williams, D. N.; Liu, Y.; Prabhat, M.; Loring, B.; O'Brien, T. A.; Collins, W. D.

    2017-12-01

    Atmospheric rivers (ARs) can be the difference between CA facing drought or hurricane-level storms. ARs are a form of extreme weather defined as long, narrow columns of moisture which transport water vapor outside the tropics. When they make landfall, they release the vapor as rain or snow. Convolutional neural networks (CNNs), a machine learning technique that uses filters to recognize features, are the leading computer vision mechanism for classifying multichannel images. CNNs have been proven to be effective in identifying extreme weather events in climate simulation output (Liu et. al. 2016, ABDA'16, http://bit.ly/2hlrFNV). Here, we compare three different CNN architectures, tuned with different hyperparameters and training schemes. We compare two-layer, three-layer, four-layer, and sixteen-layer CNNs' ability to recognize ARs in Community Atmospheric Model version 5 output, and we explore the ability of data augmentation and pre-trained models to increase the accuracy of the classifier. Because pre-training the model with regular images (i.e. benches, stoves, and dogs) yielded the highest accuracy rate, this strategy, also known as transfer learning, may be vital in future scientific CNNs, which likely will not have access to a large labelled training dataset. By choosing the most effective CNN architecture, climate scientists can build an accurate historical database of ARs, which can be used to develop a predictive understanding of these phenomena.

  19. Distance Learning: Practice and Dilemmas

    Science.gov (United States)

    Tatkovic, Nevenka; Sehanovic, Jusuf; Ruzic, Maja

    2006-01-01

    In accordance with the European processes of integrated and homogeneous education, the paper presents the essential viewpoints and questions covering the establishment and development of "distance learning" (DL) in Republic of Croatia. It starts from the advantages of distance learning versus traditional education taking into account…

  20. The impact of a faculty learning community on professional and personal development: the facilitator training program of the American Academy on Communication in Healthcare.

    Science.gov (United States)

    Chou, Calvin L; Hirschmann, Krista; Fortin, Auguste H; Lichstein, Peter R

    2014-07-01

    Relationship-centered care attends to the entire network of human relationships essential to patient care. Few faculty development programs prepare faculty to teach principles and skills in relationship-centered care. One exception is the Facilitator Training Program (FTP), a 25-year-old training program of the American Academy on Communication in Healthcare. The authors surveyed FTP graduates to determine the efficacy of its curriculum and the most important elements for participants' learning. In 2007, surveys containing quantitative and narrative elements were distributed to 51 FTP graduates. Quantitative data were analyzed using descriptive statistics. The authors analyzed narratives using Burke's dramatistic pentad as a qualitative framework to delineate how interrelated themes interacted in the FTP. Forty-seven respondents (92%) identified two essential acts that happened in the program: an iterative learning process, leading to heightened personal awareness and group facilitation skills; and longevity of learning and effect on career. The structure of the program's learning community provided the scene, and the agents were the participants, who provided support and contributed to mutual success. Methods of developing skills in personal awareness, group facilitation, teaching, and feedback constituted agency. The purpose was to learn skills and to join a community to share common values. The FTP is a learning community that provided faculty with skills in principles of relationship-centered care. Four further features that describe elements of this successful faculty-based learning community are achievement of self-identified goals, distance learning modalities, opportunities to safely discuss workplace issues outside the workplace, and self-renewing membership.

  1. Analysis of Indonesian Spice Essential Oil Compounds That Inhibit Locomotor Activity in Mice

    Science.gov (United States)

    Muchtaridi; Diantini, Adjeng; Subarnas, Anas

    2011-01-01

    Some fragrance components of spices used for cooking are known to have an effect on human behavior. The aim of this investigation was to examine the effect of the essential oils of basil (Ocimum formacitratum L.) leaves, lemongrass (Cymbopogon citrates L.) herbs, ki lemo (Litsea cubeba L.) bark, and laja gowah (Alpinia malaccencis Roxb.) rhizomes on locomotor activity in mice and identify the active component(s) that might be responsible for the activity. The effect of the essential oils was studied by a wheel cage method and the active compounds of the essential oils were identified by GC/MS analysis. The essential oils were administered by inhalation at doses of 0.1, 0.3, and 0.5 mL/cage. The results showed that the four essential oils had inhibitory effects on locomotor activity in mice. Inhalation of the essential oils of basil leaves, lemongrass herbs, ki lemo bark, and laja gowah rhizomes showed the highest inhibitory activity at doses of 0.5 (57.64%), 0.1 (55.72%), 0.5 (60.75%), and 0.1 mL/cage (47.09%), respectively. The major volatile compounds 1,8-cineole, α-terpineol, 4-terpineol, citronelol, citronelal, and methyl cinnamate were identified in blood plasma of mice after inhalation of the four oils. These compounds had a significant inhibitory effect on locomotion after inhalation. The volatile compounds of essential oils identified in the blood plasma may correlate with the locomotor-inhibiting properties of the oil when administered by inhalation.

  2. Effective Trust-Aware E-learning Recommender System Based on Learning Styles and Knowledge Levels

    Science.gov (United States)

    Dwivedi, Pragya; Bharadwaj, Kamal K.

    2013-01-01

    In the age of information explosion, e-learning recommender systems (ELRSs) have emerged as the most essential tool to deliver personalized learning resources to learners. Due to enormous amount of information on the web, learner faces problem in searching right information. ELRSs deal with the problem of information overload effectively and…

  3. How Infants and Young Children Learn About Food: A Systematic Review

    Directory of Open Access Journals (Sweden)

    Manon Mura Paroche

    2017-07-01

    Full Text Available Early childhood is a critical time for establishing food preferences and dietary habits. In order for appropriate advice to be available to parents and healthcare professionals it is essential for researchers to understand the ways in which children learn about foods. This review summarizes the literature relating to the role played by known developmental learning processes in the establishment of early eating behavior, food preferences and general knowledge about food, and identifies gaps in our knowledge that remain to be explored. A systematic literature search identified 48 papers exploring how young children learn about food from the start of complementary feeding to 36 months of age. The majority of the papers focus on evaluative components of children's learning about food, such as their food preferences, liking and acceptance. A smaller number of papers focus on other aspects of what and how children learn about food, such as a food's origins or appropriate eating contexts. The review identified papers relating to four developmental learning processes: (1 Familiarization to a food through repeated exposure to its taste, texture or appearance. This was found to be an effective technique for learning about foods, especially for children at the younger end of our age range. (2 Observational learning of food choice. Imitation of others' eating behavior was also found to play an important role in the first years of life. (3 Associative learning through flavor-nutrient and flavor-flavor learning (FFL. Although the subject of much investigation, conditioning techniques were not found to play a major role in shaping the food preferences of infants in the post-weaning and toddler periods. (4 Categorization of foods. The direct effects of the ability to categorize foods have been little studied in this age group. However, the literature suggests that what infants are willing to consume depends on their ability to recognize items on their plate as

  4. Identifying Learning Patterns of Children at Risk for Specific Reading Disability

    Science.gov (United States)

    Barbot, Baptiste; Krivulskaya, Suzanna; Hein, Sascha; Reich, Jodi; Thuma, Philip E.; Grigorenko, Elena L.

    2016-01-01

    Differences in learning patterns of vocabulary acquisition in children at risk (+SRD) and not at risk (-SRD) for Specific Reading Disability (SRD) were examined using a microdevelopmental paradigm applied to the multi-trial Foreign Language Learning Task (FLLT; Baddeley et al., 1995). The FLLT was administered to 905 children from rural…

  5. Lesson Learning at JPL

    Science.gov (United States)

    Oberhettinger, David

    2011-01-01

    A lessons learned system is a hallmark of a mature engineering organization A formal lessons learned process can help assure that valuable lessons get written and published, that they are well-written, and that the essential information is "infused" into institutional practice. Requires high-level institutional commitment, and everyone's participation in gathering, disseminating, and using the lessons

  6. Using distant supervised learning to identify protein subcellular localizations from full-text scientific articles.

    Science.gov (United States)

    Zheng, Wu; Blake, Catherine

    2015-10-01

    Databases of curated biomedical knowledge, such as the protein-locations reflected in the UniProtKB database, provide an accurate and useful resource to researchers and decision makers. Our goal is to augment the manual efforts currently used to curate knowledge bases with automated approaches that leverage the increased availability of full-text scientific articles. This paper describes experiments that use distant supervised learning to identify protein subcellular localizations, which are important to understand protein function and to identify candidate drug targets. Experiments consider Swiss-Prot, the manually annotated subset of the UniProtKB protein knowledge base, and 43,000 full-text articles from the Journal of Biological Chemistry that contain just under 11.5 million sentences. The system achieves 0.81 precision and 0.49 recall at sentence level and an accuracy of 57% on held-out instances in a test set. Moreover, the approach identifies 8210 instances that are not in the UniProtKB knowledge base. Manual inspection of the 50 most likely relations showed that 41 (82%) were valid. These results have immediate benefit to researchers interested in protein function, and suggest that distant supervision should be explored to complement other manual data curation efforts. Copyright © 2015 Elsevier Inc. All rights reserved.

  7. SAS essentials mastering SAS for data analytics

    CERN Document Server

    Elliott, Alan C

    2015-01-01

    A step-by-step introduction to using SAS® statistical software as a foundational approach to data analysis and interpretation Presenting a straightforward introduction from the ground up, SAS® Essentials: Mastering SAS for Data Analytics, Second Edition illustrates SAS using hands-on learning techniques and numerous real-world examples. Keeping different experience levels in mind, the highly-qualified author team has developed the book over 20 years of teaching introductory SAS courses. Divided into two sections, the first part of the book provides an introduction to data manipulation, st

  8. Establishing Time for Professional Learning

    Science.gov (United States)

    Journal of Staff Development, 2013

    2013-01-01

    Time for collaborative learning is an essential resource for educators working to implement college- and career-ready standards. The pages in this article include tools from the workbook "Establishing Time for Professional Learning." The tools support a complete process to help educators effectively find and use time. The following…

  9. Haploid genetic screens identify an essential role for PLP2 in the downregulation of novel plasma membrane targets by viral E3 ubiquitin ligases.

    Directory of Open Access Journals (Sweden)

    Richard T Timms

    Full Text Available The Kaposi's sarcoma-associated herpesvirus gene products K3 and K5 are viral ubiquitin E3 ligases which downregulate MHC-I and additional cell surface immunoreceptors. To identify novel cellular genes required for K5 function we performed a forward genetic screen in near-haploid human KBM7 cells. The screen identified proteolipid protein 2 (PLP2, a MARVEL domain protein of unknown function, as essential for K5 activity. Genetic loss of PLP2 traps the viral ligase in the endoplasmic reticulum, where it is unable to ubiquitinate and degrade its substrates. Subsequent analysis of the plasma membrane proteome of K5-expressing KBM7 cells in the presence and absence of PLP2 revealed a wide range of novel K5 targets, all of which required PLP2 for their K5-mediated downregulation. This work ascribes a critical function to PLP2 for viral ligase activity and underlines the power of non-lethal haploid genetic screens in human cells to identify the genes involved in pathogen manipulation of the host immune system.

  10. Rapid Statistical Learning Supporting Word Extraction From Continuous Speech.

    Science.gov (United States)

    Batterink, Laura J

    2017-07-01

    The identification of words in continuous speech, known as speech segmentation, is a critical early step in language acquisition. This process is partially supported by statistical learning, the ability to extract patterns from the environment. Given that speech segmentation represents a potential bottleneck for language acquisition, patterns in speech may be extracted very rapidly, without extensive exposure. This hypothesis was examined by exposing participants to continuous speech streams composed of novel repeating nonsense words. Learning was measured on-line using a reaction time task. After merely one exposure to an embedded novel word, learners demonstrated significant learning effects, as revealed by faster responses to predictable than to unpredictable syllables. These results demonstrate that learners gained sensitivity to the statistical structure of unfamiliar speech on a very rapid timescale. This ability may play an essential role in early stages of language acquisition, allowing learners to rapidly identify word candidates and "break in" to an unfamiliar language.

  11. Blender Foundations The Essential Guide to Learning Blender 26

    CERN Document Server

    Hess, Roland

    2010-01-01

    Blender Foundations is the definitive resource for getting started with 3D art in Blender, one of the most popular 3D/Animation tools on the market . With the expert insight and experience of Roland Hess, noted Blender expert and author, animators and artists will learn the basics starting with the revised 2.6 interface, modeling tools, sculpting, lighting and materials through rendering, compositing and video editing. Some of the new features covered include the completely re-thought interface, the character animation and keying system, and the smoke simulator. More than just a tutorial gui

  12. Mapping Students’ Informal Learning Using Personal Learning Environment

    Directory of Open Access Journals (Sweden)

    Jelena Anđelković Labrović

    2014-07-01

    Full Text Available Personal learning environments are a widely spared ways of learning, especially for the informal learning process. The aim of this research is to identify the elements of studens’ personal learning environment and to identify the extent to which students use modern technology for learning as part of their non-formal learning. A mapping system was used for gathering data and an analysis of percentages and frequency counts was used for data analysis in the SPSS. The results show that students’ personal learning environment includes the following elements: Wikipedia, Google, YouTube and Facebook in 75% of all cases, and an interesting fact is that all of them belong to a group of Web 2.0 tools and applications.

  13. Learning JavaScript

    CERN Document Server

    Powers, Shelley

    2008-01-01

    Packed with best practices and examples of JavaScript use, Learning JavaScript provides complete, no-nonsense coverage of this quirky yet essential language for web development. You'll learn everything from primitive data types to complex features, including JavaScript elements involved with Ajax and dynamic page effects. By the end of the book, you'll be able to work with even the most sophisticated libraries and web applications.

  14. Identifying tropical dry forests extent and succession via the use of machine learning techniques

    Science.gov (United States)

    Li, Wei; Cao, Sen; Campos-Vargas, Carlos; Sanchez-Azofeifa, Arturo

    2017-12-01

    Information on ecosystem services as a function of the successional stage for secondary tropical dry forests (TDFs) is scarce and limited. Secondary TDFs succession is defined as regrowth following a complete forest clearance for cattle growth or agriculture activities. In the context of large conservation initiatives, the identification of the extent, structure and composition of secondary TDFs can serve as key elements to estimate the effectiveness of such activities. As such, in this study we evaluate the use of a Hyperspectral MAPper (HyMap) dataset and a waveform LIDAR dataset for characterization of different levels of intra-secondary forests stages at the Santa Rosa National Park (SRNP) Environmental Monitoring Super Site located in Costa Rica. Specifically, a multi-task learning based machine learning classifier (MLC-MTL) is employed on the first shortwave infrared (SWIR1) of HyMap in order to identify the variability of aboveground biomass of secondary TDFs along a successional gradient. Our paper recognizes that the process of ecological succession is not deterministic but a combination of transitional forests types along a stochastic path that depends on ecological, edaphic, land use, and micro-meteorological conditions, and our results provide a new way to obtain the spatial distribution of three main types of TDFs successional stages.

  15. Analysis of Indonesian Spice Essential Oil Compounds That Inhibit Locomotor Activity in Mice

    Directory of Open Access Journals (Sweden)

    Anas Subarnas

    2011-04-01

    Full Text Available Some fragrance components of spices used for cooking are known to have an effect on human behavior. The aim of this investigation was to examine the effect of the essential oils of basil (Ocimum formacitratum L. leaves, lemongrass (Cymbopogon citrates L. herbs, ki lemo (Litsea cubeba L. bark, and laja gowah (Alpinia malaccencis Roxb. rhizomes on locomotor activity in mice and identify the active component(s that might be responsible for the activity. The effect of the essential oils was studied by a wheel cage method and the active compounds of the essential oils were identified by GC/MS analysis. The essential oils were administered by inhalation at doses of 0.1, 0.3, and 0.5 mL/cage. The results showed that the four essential oils had inhibitory effects on locomotor activity in mice. Inhalation of the essential oils of basil leaves, lemongrass herbs, ki lemo bark, and laja gowah rhizomes showed the highest inhibitory activity at doses of 0.5 (57.64%, 0.1 (55.72%, 0.5 (60.75%, and 0.1 mL/cage (47.09%, respectively. The major volatile compounds 1,8-cineole, α-terpineol, 4-terpineol, citronelol, citronelal, and methyl cinnamate were identified in blood plasma of mice after inhalation of the four oils. These compounds had a significant inhibitory effect on locomotion after inhalation. The volatile compounds of essential oils identified in the blood plasma may correlate with the locomotor-inhibiting properties of the oil when administered by inhalation.

  16. CRISPR/Cas9-Mediated Rapid Generation of Multiple Mouse Lines Identified Ccdc63 as Essential for Spermiogenesis

    Directory of Open Access Journals (Sweden)

    Samantha A. M. Young

    2015-10-01

    Full Text Available Spermatozoa are flagellated cells whose role in fertilization is dependent on their ability to move towards an oocyte. The structure of the sperm flagella is highly conserved across species, and much of what is known about this structure is derived from studies utilizing animal models. One group of proteins essential for the movement of the flagella are the dyneins. Using the advanced technology of CRISPR/Cas9 we have targeted three dynein group members; Dnaic1, Wdr63 and Ccdc63 in mice. All three of these genes are expressed strongly in the testis. We generated mice with amino acid substitutions in Dnaic1 to analyze two specific phosphorylation events at S124 and S127, and generated simple knockouts of Wdr63 and Ccdc63. We found that the targeted phosphorylation sites in Dnaic1 were not essential for male fertility. Similarly, Wdr63 was not essential for male fertility; however, Ccdc63 removal resulted in sterile male mice due to shortened flagella. This study demonstrates the versatility of the CRISPR/Cas9 system to generate animal models of a highly complex system by introducing point mutations and simple knockouts in a fast and efficient manner.

  17. International assistance and cooperation for access to essential medicines.

    Science.gov (United States)

    Mok, Emily A

    2010-06-15

    Access to essential medicines is a critical problem that plagues many developing countries. With a daunting number of domestic constraints - technologically, economically, and otherwise - developing countries are faced with a steep uphill battle to meet the human rights obligation of providing essential medicines immediately. To meet these challenges, the international human rights obligations of international assistance and cooperation can play a key role to help developing countries fulfill the need for access to essential medicines. This article seeks to highlight and expand upon the current understanding of international assistance and cooperation for access to essential medicines through a review of obligations identified in international human rights law and a synthesis of official guidance provided on the matter.

  18. Applying deep learning technology to automatically identify metaphase chromosomes using scanning microscopic images: an initial investigation

    Science.gov (United States)

    Qiu, Yuchen; Lu, Xianglan; Yan, Shiju; Tan, Maxine; Cheng, Samuel; Li, Shibo; Liu, Hong; Zheng, Bin

    2016-03-01

    Automated high throughput scanning microscopy is a fast developing screening technology used in cytogenetic laboratories for the diagnosis of leukemia or other genetic diseases. However, one of the major challenges of using this new technology is how to efficiently detect the analyzable metaphase chromosomes during the scanning process. The purpose of this investigation is to develop a computer aided detection (CAD) scheme based on deep learning technology, which can identify the metaphase chromosomes with high accuracy. The CAD scheme includes an eight layer neural network. The first six layers compose of an automatic feature extraction module, which has an architecture of three convolution-max-pooling layer pairs. The 1st, 2nd and 3rd pair contains 30, 20, 20 feature maps, respectively. The seventh and eighth layers compose of a multiple layer perception (MLP) based classifier, which is used to identify the analyzable metaphase chromosomes. The performance of new CAD scheme was assessed by receiver operation characteristic (ROC) method. A number of 150 regions of interest (ROIs) were selected to test the performance of our new CAD scheme. Each ROI contains either interphase cell or metaphase chromosomes. The results indicate that new scheme is able to achieve an area under the ROC curve (AUC) of 0.886+/-0.043. This investigation demonstrates that applying a deep learning technique may enable to significantly improve the accuracy of the metaphase chromosome detection using a scanning microscopic imaging technology in the future.

  19. Trends in Machine Learning for Signal Processing

    DEFF Research Database (Denmark)

    Adali, Tulay; Miller, David J.; Diamantaras, Konstantinos I.

    2011-01-01

    By putting the accent on learning from the data and the environment, the Machine Learning for SP (MLSP) Technical Committee (TC) provides the essential bridge between the machine learning and SP communities. While the emphasis in MLSP is on learning and data-driven approaches, SP defines the main...... applications of interest, and thus the constraints and requirements on solutions, which include computational efficiency, online adaptation, and learning with limited supervision/reference data....

  20. PRE-CLINICAL EVALUATION OF EXTRACTS AND ESSENTIAL OILS FROM BETEL-LIKE SCENT PIPER SPECIES IDENTIFIED POTENTIAL CANCER TREATMENT.

    Science.gov (United States)

    Sanubol, Arisa; Chaveerach, Arunrat; Tanee, Tawatchai; Sudmoon, Runglawan

    2017-01-01

    Nine Piper species with betel-like scents are sources of industrial and medicinal aromatic chemicals, but there is lack of information on cytotoxicity and genotoxicity for human safety, including how these plants impact human cervical cancer cell line. Plant leaves were extracted with hexane and hydro-distilled for essential oils. The extracts and oils were pre-clinically studied based on cyto - and genotoxicity using microculture tetrazolium (MTT) and comet assays. The crude extracts showed an IC 50 in leukocytes and HeLa cells of 58.59-97.31 mg/ml and 34.91-101.79 mg/ml, the LD 50 is higher than 5000 mg/kg. With lower values than the crude extracts, the essential oils showed an IC 50 in leukocytes and HeLa cells of 0.023-0.059 μg/ml and 0.025-0.043 μg/ml the LD 50 is less than 50 mg/kg. IC 50 values showed that the essential oils were highly toxic than the crude extracts. At the level of human genetic materials, the crude extracts of two species, including P. betloides and P. crocatum , showed a significant toxicity ( p Piper species showed insignificant toxicity in leukocytes. For HeLa cells, the eight-studied species showed significant toxicity in HeLa cells, whereas only P. submultinerve showed insignificant toxicity. The crude extracts and essential oils should be tested as putative cervical cancer treatments due to less toxicity in human normal cells.

  1. Learned Helplessness as a Schedule-Shift Effect.

    Science.gov (United States)

    McReynolds, William T.

    1980-01-01

    The essentials of learned helplessness theory are described and supporting evidence surveyed. The explanation Seligman and Maier give for these findings is critically analyzed. A schedule-shift discrimination theory of learned helplessness effects is also discussed. (Author)

  2. Machine Learning Leveraging Genomes from Metagenomes Identifies Influential Antibiotic Resistance Genes in the Infant Gut Microbiome

    Science.gov (United States)

    Olm, Matthew R.; Morowitz, Michael J.

    2018-01-01

    ABSTRACT Antibiotic resistance in pathogens is extensively studied, and yet little is known about how antibiotic resistance genes of typical gut bacteria influence microbiome dynamics. Here, we leveraged genomes from metagenomes to investigate how genes of the premature infant gut resistome correspond to the ability of bacteria to survive under certain environmental and clinical conditions. We found that formula feeding impacts the resistome. Random forest models corroborated by statistical tests revealed that the gut resistome of formula-fed infants is enriched in class D beta-lactamase genes. Interestingly, Clostridium difficile strains harboring this gene are at higher abundance in formula-fed infants than C. difficile strains lacking this gene. Organisms with genes for major facilitator superfamily drug efflux pumps have higher replication rates under all conditions, even in the absence of antibiotic therapy. Using a machine learning approach, we identified genes that are predictive of an organism’s direction of change in relative abundance after administration of vancomycin and cephalosporin antibiotics. The most accurate results were obtained by reducing annotated genomic data to five principal components classified by boosted decision trees. Among the genes involved in predicting whether an organism increased in relative abundance after treatment are those that encode subclass B2 beta-lactamases and transcriptional regulators of vancomycin resistance. This demonstrates that machine learning applied to genome-resolved metagenomics data can identify key genes for survival after antibiotics treatment and predict how organisms in the gut microbiome will respond to antibiotic administration. IMPORTANCE The process of reconstructing genomes from environmental sequence data (genome-resolved metagenomics) allows unique insight into microbial systems. We apply this technique to investigate how the antibiotic resistance genes of bacteria affect their ability to

  3. Electronic study books and learning style

    NARCIS (Netherlands)

    de Diana, I.P.F.; van der Heiden, G.

    1994-01-01

    Attention has been drawn to the concepts of Electronic Books and Electronic Study Books. Several publications have discussed some main ideas (paradigms) for both concepts. For the Electronic Study Book as a learning environment, it is essential to consider individual modes of learning, usually

  4. Learning Ionic

    CERN Document Server

    Ravulavaru, Arvind

    2015-01-01

    This book is intended for those who want to learn how to build hybrid mobile applications using Ionic. It is also ideal for people who want to explore theming for Ionic apps. Prior knowledge of AngularJS is essential to complete this book successfully.

  5. Characterization of inclusion neighbourhood in terms of the essential graph

    Czech Academy of Sciences Publication Activity Database

    Studený, Milan

    2005-01-01

    Roč. 38, č. 3 (2005), s. 283-309 ISSN 0888-613X R&D Projects: GA ČR GA201/04/0393; GA AV ČR IAA1075104 Institutional research plan: CEZ:AV0Z10750506 Keywords : learning Bayesian networks * inclusion neighbourhood * essential graph Subject RIV: BA - General Mathematics Impact factor: 0.959, year: 2005 http://library.utia.cas.cz/separaty/historie/studeny-0411275.pdf

  6. Adaptive Landmark-Based Navigation System Using Learning Techniques

    DEFF Research Database (Denmark)

    Zeidan, Bassel; Dasgupta, Sakyasingha; Wörgötter, Florentin

    2014-01-01

    The goal-directed navigational ability of animals is an essential prerequisite for them to survive. They can learn to navigate to a distal goal in a complex environment. During this long-distance navigation, they exploit environmental features, like landmarks, to guide them towards their goal. In...... hexapod robots. As a result, it allows the robots to successfully learn to navigate to distal goals in complex environments.......The goal-directed navigational ability of animals is an essential prerequisite for them to survive. They can learn to navigate to a distal goal in a complex environment. During this long-distance navigation, they exploit environmental features, like landmarks, to guide them towards their goal....... Inspired by this, we develop an adaptive landmark-based navigation system based on sequential reinforcement learning. In addition, correlation-based learning is also integrated into the system to improve learning performance. The proposed system has been applied to simulated simple wheeled and more complex...

  7. National Assessment of College Student Learning: Identifying College Graduates' Essential Skills in Writing, Speech and Listening, and Critical Thinking. Final Project Report.

    Science.gov (United States)

    Jones, Elizabeth A.; And Others

    This study used an iterative Delphi survey process of about 600 faculty, employers, and policymakers to identify writing, speech and listening, and critical thinking skills that college graduates should achieve to become effective employees and citizens (National Education Goal 6). Participants reached a consensus about the importance in critical…

  8. A Context-Aware Ubiquitous Learning Approach for Providing Instant Learning Support in Personal Computer Assembly Activities

    Science.gov (United States)

    Hsu, Ching-Kun; Hwang, Gwo-Jen

    2014-01-01

    Personal computer assembly courses have been recognized as being essential in helping students understand computer structure as well as the functionality of each computer component. In this study, a context-aware ubiquitous learning approach is proposed for providing instant assistance to individual students in the learning activity of a…

  9. Temporal maps and informativeness in associative learning.

    Science.gov (United States)

    Balsam, Peter D; Gallistel, C Randy

    2009-02-01

    Neurobiological research on learning assumes that temporal contiguity is essential for association formation, but what constitutes temporal contiguity has never been specified. We review evidence that learning depends, instead, on learning a temporal map. Temporal relations between events are encoded even from single experiences. The speed with which an anticipatory response emerges is proportional to the informativeness of the encoded relation between a predictive stimulus or event and the event it predicts. This principle yields a quantitative account of the heretofore undefined, but theoretically crucial, concept of temporal pairing, an account in quantitative accord with surprising experimental findings. The same principle explains the basic results in the cue competition literature, which motivated the Rescorla-Wagner model and most other contemporary models of associative learning. The essential feature of a memory mechanism in this account is its ability to encode quantitative information.

  10. Machine Learning Methods for Identifying Composition of Uranium Deposits in Kazakhstan

    Directory of Open Access Journals (Sweden)

    Kuchin Yan

    2017-12-01

    Full Text Available The paper explores geophysical methods of wells survey, as well as their role in the development of Kazakhstan’s uranium deposit mining efforts. An analysis of the existing methods for solving the problem of interpreting geophysical data using machine learning in petroleum geophysics is made. The requirements and possible applications of machine learning methods in regard to uranium deposits of Kazakhstan are formulated in the paper.

  11. Effects of team-based learning on self-regulated online learning.

    Science.gov (United States)

    Whittaker, Alice A

    2015-04-10

    Online learning requires higher levels of self-regulation in order to achieve optimal learning outcomes. As nursing education moves further into the blended and online learning venue, new teaching/learning strategies will be required to develop and enhance self-regulated learning skills in nursing students. The purpose of this study was to compare the effectiveness of team-based learning (TBL) with traditional instructor-led (IL) learning, on self-regulated online learning outcomes, in a blended undergraduate research and evidence-based practice course. The nonrandomized sample consisted of 98 students enrolled in the IL control group and 86 students enrolled in the TBL intervention group. The percentage of total possible online viewing time was used as the measure of self-regulated online learning activity. The TBL group demonstrated a significantly higher percentage (p learning activities than the IL control group. The TBL group scored significantly higher on the course examinations (p = 0.003). The findings indicate that TBL is an effective instructional strategy that can be used to achieve the essential outcomes of baccalaureate nursing education by increasing self-regulated learning capabilities in nursing students.

  12. The impact of managers' perceptions of learning organizations on innovation in healthcare: sample of Turkey.

    Science.gov (United States)

    Ugurluoglu, Ozgur; Ugurluoglu Aldogan, Ece; Dilmac, Elife

    2013-01-01

    Organizational learning is the process of increasing effective organizational activities through knowledge and understanding. Innovation is the creation of any product, service or process, which is new to a business unit. Significant amount of research on organizational learning place a central meaning on the fact that there is a positive relationship between organizational learning and innovation. Both organizational learning and innovation are essential for organizations to prepare for change. The aim of this study is to determine to what extent the identified learning organization dimensions are associated with innovation. The study used a quantitative non-experimental design employing statistical analysis via multiple regression and correlation methods to identify the relationships between the variables examined. Because the research was conducted in a non-experimental way, learning organization dimensions are referred to as predictor variables, and innovation is referred to as the criterion variable. Watkins and Marsick's Dimensions of the Learning Organization Questionnaire was used in the study. Questionnaires were distributed to 498 hospital managers and, 243 valid responses were used in this study. Therefore, 243 hospital managers working at 250 Ministry of Health (public) hospitals across Turkey participated in the study. Results demonstrate that there are significant and positive correlations between learning organization dimensions and innovation. Intercorrelations between learning organization dimensions and correlations between learning organization dimensions and innovation were average and high, respectively. Results further indicate that the dimensions of the learning organizations explained 66.5% of the variance for the innovation. Copyright © 2012 John Wiley & Sons, Ltd.

  13. The evaluation of student-centredness of teaching and learning: a new mixed-methods approach.

    Science.gov (United States)

    Lemos, Ana R; Sandars, John E; Alves, Palmira; Costa, Manuel J

    2014-08-14

    The aim of the study was to develop and consider the usefulness of a new mixed-methods approach to evaluate the student-centredness of teaching and learning on undergraduate medical courses. An essential paradigm for the evaluation was the coherence between how teachers conceptualise their practice (espoused theories) and their actual practice (theories-in-use). The context was a module within an integrated basic sciences course in an undergraduate medical degree programme. The programme had an explicit intention of providing a student-centred curriculum. A content analysis framework based on Weimer's dimensions of student-centred teaching was used to analyze data collected from individual interviews with seven teachers to identify espoused theories and 34h of classroom observations and one student focus group to identify theories-in-use. The interviewees were identified by purposeful sampling. The findings from the three methods were triangulated to evaluate the student-centredness of teaching and learning on the course. Different, but complementary, perspectives of the student-centredness of teaching and learning were identified by each method. The triangulation of the findings revealed coherence between the teachers' espoused theories and theories-in-use. A mixed-methods approach that combined classroom observations with interviews from a purposeful sample of teachers and students offered a useful evaluation of the extent of student-centredness of teaching and learning of this basic science course. Our case study suggests that this new approach is applicable to other courses in medical education.

  14. Essential Conditions for Technology-Supported, Student-Centered Learning: An Analysis of Student Experiences with Math Out Loud Using the ISTE Standards for Students

    Science.gov (United States)

    Dondlinger, Mary Jo; McLeod, Julie; Vasinda, Sheri

    2016-01-01

    This article explores links between student experiences with technology-rich mathematics instruction and the ISTE Standards for Students. Research methods applied constructivist grounded theory to analyze data from student interviews against the ISTE Standards for Students to identify which elements of the design of this learning environment…

  15. A Path to Collaborative Strategic Learning

    Energy Technology Data Exchange (ETDEWEB)

    Nancy M. Carlson

    2003-10-01

    Collaborative learning is critical for the future of any organization and must align with the strategic organizational processes that result in products valued by others. To discover these processes, proposal preparation is explored using topic-oriented ethnography, grounded theory, and an innovative addition to qualitative interviewing, called metainquiry. Using interview data from editors, graphic artists, text processors, scientists, engineers, and technical managers, substantive theory emerges. The research discovers the five essential processes of owning, visioning, reviewing, producing, and contributing needed for organizational strategic learning to occur. The dimensions of these processes are made explicit and can be used to gauge the health of any organization. The substantive theory also provides insight into the ability of collaborative learning to evolve, flourish, and adapt to the strategic advantage of the organization. Lastly, actionable goals with ten essential elements emerge that link owning, visioning, reviewing, producing, and contributing as a path for all organizations to follow to promote collaborative learning communities and enhance their competitive advantage.

  16. The treatment of essential thrombocythaemia with radioactive phosphorous

    Energy Technology Data Exchange (ETDEWEB)

    Wagner, S; Waxman, J; Sikora, K [Royal Postgraduate Medical School, London (UK)

    1989-03-01

    The major complications of essential thrombocythaemia include haemorrhage and thrombosis, events which are related to the level of the abnormal platelet counts. The authors report on the use of radioactive phosphorus ({sup 32}P) in eight patients with essential thrombocythaemia. Two patients required multiple injections of {sup 32}P to control platelet count, and there was no reduction in the rate of fall of platelets with each injection. Three patients required chemotherapy for persistent thrombocythaemia despite multiple doses of {sup 32}P. No clinical or haematological characteristics could be identified for those patients whose disease was difficult to control. Radioactive phosphorus is a safe and effective method to control platelet counts in patients with essential thrombocythaemia. (author).

  17. Intelligent data analysis for e-learning enhancing security and trustworthiness in online learning systems

    CERN Document Server

    Miguel, Jorge; Xhafa, Fatos

    2016-01-01

    Intelligent Data Analysis for e-Learning: Enhancing Security and Trustworthiness in Online Learning Systems addresses information security within e-Learning based on trustworthiness assessment and prediction. Over the past decade, many learning management systems have appeared in the education market. Security in these systems is essential for protecting against unfair and dishonest conduct-most notably cheating-however, e-Learning services are often designed and implemented without considering security requirements. This book provides functional approaches of trustworthiness analysis, modeling, assessment, and prediction for stronger security and support in online learning, highlighting the security deficiencies found in most online collaborative learning systems. The book explores trustworthiness methodologies based on collective intelligence than can overcome these deficiencies. It examines trustworthiness analysis that utilizes the large amounts of data-learning activities generate. In addition, as proc...

  18. Learning Disabilities: Implications for Policy regarding Research and Practice--A Report by the National Joint Committee on Learning Disabilities, March 2011

    Science.gov (United States)

    Learning Disabilities: A Multidisciplinary Journal, 2012

    2012-01-01

    The National Joint Committee on Learning Disabilities (NJCLD) affirms that the construct of learning disabilities represents a valid, unique, and heterogeneous group of disorders, and that recognition of this construct is essential for sound policy and practice. An extensive body of scientific research on learning disabilities continues to support…

  19. Autodesk Roadway Design for Infraworks 360 essentials

    CERN Document Server

    Chappell, Eric

    2015-01-01

    Quickly master InfraWorks Roadway Design with hands-on tutorials Autodesk Roadway Design for InfraWorks 360 Essentials, 2nd Edition allows you to begin designing immediately as you learn the ins and outs of the roadway-specific InfraWorks module. Detailed explanations coupled with hands-on exercises help you get up to speed and quickly and become productive with the module's core features and functions. Compelling screenshots illustrate step-by-step tutorials, and the companion website provides downloadable starting and ending files so you can jump in at any point and compare your work to the

  20. Ecologies of Learning: How Culture and Context Impact Outcomes of Workplace Literacy and Essential Skills

    Science.gov (United States)

    Merrifield, Juliet

    2012-01-01

    Learning always takes place in a particular context and culture, yet educators have tended to focus their attention mainly on the form of learning, its methodology, content and teaching approach. While these can and do affect learning and its results, this paper looks beyond the particulars of the program to explore how the context and culture of…

  1. Using appreciative inquiry to help students identify strategies to overcome handicaps of their learning styles.

    Science.gov (United States)

    Kumar, Latha Rajendra; Chacko, Thomas Vengail

    2012-01-01

    In India, as in some other neighboring Asian countries, students and teachers are generally unaware of the differences in the learning styles among learners, which can handicap students with learning styles alien to the common teaching/learning modality within the institution. This study aims to find out whether making students aware of their learning styles and then using the Appreciative Inquiry approach to help them discover learning strategies that worked for them and others with similar learning styles within the institution made them perceive that this experience improved their learning and performance in exams. The visual, auditory, read-write, and kinesthetic (VARK) inventory of learning styles questionnaire was administered to all 100 first-year medical students of the Father Muller's Medical College in Mangalore India to make them aware of their individual learning styles. An Appreciate Inquiry intervention was administered to 62 student volunteers who were counseled about the different learning styles and their adaptive strategies. Pre and post intervention change in student's perception about usefulness of knowing learning styles on their learning, learning behavior, and performance in examinations was collected from the students using a prevalidated questionnaire. Post intervention mean scores showed a significant change (P learning style and discovering strategies that worked within the institutional environment. There was agreement among students that the intervention helped them become more confident in learning (84%), facilitating learning in general (100%), and in understanding concepts (100%). However, only 29% of the students agreed that the intervention has brought about their capability improvement in application of learning and 31% felt it improved their performance in exams. Appreciate Inquiry was perceived as useful in helping students discover learning strategies that work for different individual learning styles and sharing them within

  2. Identifying Instructional Strategies Used to Design Mobile Learning in a Corporate Setting

    Science.gov (United States)

    Jackson-Butler, Uletta

    2016-01-01

    The purpose of this qualitative embedded multiple case study was to describe what instructional strategies corporate instructional designers were using to design mobile learning and to understand from their experiences which instructional strategies they believed enhance learning. Participants were five instructional designers who were actively…

  3. Quality assurance of the Teaching – Learning Process in the Financial Economic Analysis

    Directory of Open Access Journals (Sweden)

    R.F. Creţu

    2013-06-01

    Full Text Available In the current context of economic development, human resources capable of long-life training and adaptable to economic change are essential elements of a model of growth based on competitiveness, efficiency and quality. In this paper we propose to identify strategies to improve the quality of the teaching learning process of Financial Economic Analysis in the Bucharest Academy of Economic Studies to the students in the first cycle of education - graduates cycle, the final year of study. Classroom observation is the qualitative method used to monitor the quality of the teaching learning process. As a complex process of instruments, classroom observation may take different forms and can play several roles.

  4. Simple and efficient machine learning frameworks for identifying protein-protein interaction relevant articles and experimental methods used to study the interactions.

    Science.gov (United States)

    Agarwal, Shashank; Liu, Feifan; Yu, Hong

    2011-10-03

    Protein-protein interaction (PPI) is an important biomedical phenomenon. Automatically detecting PPI-relevant articles and identifying methods that are used to study PPI are important text mining tasks. In this study, we have explored domain independent features to develop two open source machine learning frameworks. One performs binary classification to determine whether the given article is PPI relevant or not, named "Simple Classifier", and the other one maps the PPI relevant articles with corresponding interaction method nodes in a standardized PSI-MI (Proteomics Standards Initiative-Molecular Interactions) ontology, named "OntoNorm". We evaluated our system in the context of BioCreative challenge competition using the standardized data set. Our systems are amongst the top systems reported by the organizers, attaining 60.8% F1-score for identifying relevant documents, and 52.3% F1-score for mapping articles to interaction method ontology. Our results show that domain-independent machine learning frameworks can perform competitively well at the tasks of detecting PPI relevant articles and identifying the methods that were used to study the interaction in such articles. Simple Classifier is available at http://sourceforge.net/p/simpleclassify/home/ and OntoNorm at http://sourceforge.net/p/ontonorm/home/.

  5. Genes essential for phototrophic growth by a purple alphaproteobacterium: Genes for phototrophic growth

    Energy Technology Data Exchange (ETDEWEB)

    Yang, Jianming [Key Lab of Applied Mycology, College of Life Sciences, Qingdao Agricultural University, Qingdao Shandong Province People' s Republic of China; Department of Microbiology, University of Washington, Seattle WA USA; Yin, Liang [Department of Microbiology, University of Washington, Seattle WA USA; Lessner, Faith H. [Department of Biological Sciences, University of Arkansas, Fayetteville AR USA; Nakayasu, Ernesto S. [Biological Sciences Division, Pacific Northwest National Laboratory, Richland WA USA; Payne, Samuel H. [Biological Sciences Division, Pacific Northwest National Laboratory, Richland WA USA; Fixen, Kathryn R. [Department of Microbiology, University of Washington, Seattle WA USA; Gallagher, Larry [Department of Genome Sciences, University of Washington, Seattle WA USA; Harwood, Caroline S. [Department of Microbiology, University of Washington, Seattle WA USA

    2017-07-24

    Anoxygenic purple phototrophic bacteria have served as important models for studies of photophosphorylation. The pigment-protein complexes responsible for converting light energy to ATP are relatively simple and these bacteria can grow heterotrophically under aerobic conditions, thus allowing for the study of mutants defective in photophosphorylation. In the past, genes responsible for anoxygenic phototrophic growth have been identified in a number of different bacterial species. Here we systematically studied the genetic basis for this metabolism by using Tn-seq to identify genes essential for the anaerobic growth of the purple bacterium Rhodopseudomonas palustris on acetate in light. We identified 171 genes required for growth in this condition, 35 of which are annotated as photosynthesis genes. Among these are a few new genes not previously shown to be essential for phototrophic growth. We verified the essentiality of many of the genes we identified by analyzing the phenotypes of mutants we generated by Tn mutagenesis that had altered pigmentation. We used directed mutagenesis to verify that the R. palustris NADH:quinone oxidoreductase complex IE is essential for phototrophic growth. As a complement to the genetic data, we carried out proteomics experiments in which we found that 429 proteins were present in significantly higher amounts in cells grown anaerobically in light compared to aerobically. Among these were proteins encoded by subset of the phototrophic growth-essential genes.

  6. Essential oil from the leaves of Annona vepretorum: chemical composition and bioactivity.

    Science.gov (United States)

    Costa, Emmanoel Vilaça; Dutra, Lívia Macedo; Nogueira, Paulo Cesar de Lima; Moraes, Valéria Regina de Souza; Salvador, Marcos José; Ribeiro, Luis Henrique Gonzaga; Gadelha, Fernanda Ramos

    2012-02-01

    The essential oil from the leaves of Annona vepretorun was obtained by hydrodistillation using a Clevenger-type apparatus and analyzed by GC-MS and GC-FID. Eighteen compounds representing 98.1% of the crude essential oil were identified. The major compounds identified were bicyclogermacrene (43.7%), spathulenol (11.4%), alpha-felandrene (10.0%), alpha-pinene (7.1%), (E)-beta-ocimene (6.8%), germacrene D (5.8%), and p-cymene (4.2%). The trypanocidal activity against Trypanosoma cruzi epimastigote forms, as well as, the antimicrobial and antioxidant proprieties was investigated. The essential oil showed a potent trypanocidal activity with IC50 value of 31.9 +/-1.3 microg x mL(-1). For antimicrobial activity, the best result was observed against Candida tropicalis with a MIC value of 100 microg x mL(-1). For antioxidant capacity the essential oil showed weak activity.

  7. Learning in Organization

    Science.gov (United States)

    Palos, Ramona; Veres Stancovici, Vesna

    2016-01-01

    Purpose: This study aims at identifying the presence of the dimensions of learning capabilities and the characteristics of a learning organization within two companies in the field of services, as well as identifying the relationships between their learning capability and the organizational culture. Design/methodology/approach: This has been a…

  8. IDENTIFYING FACTORS THAT CONTRIBUTE TO THE SATISFACTION OF STUDENTS IN E-LEARNING

    Directory of Open Access Journals (Sweden)

    Levent CALLI,

    2013-01-01

    Full Text Available There has been an increasing interest in the application of e-learning through the enhancement of internet and computer technologies. Satisfaction has appeared as a key factor in order to develop efficient course content in line with students’ demands and expectations. Thus, a lot of research has been conducted on the concept of satisfaction in electronic environments. Satisfaction has been seen to be the most significant variable on loyalty and usage intention in marketing and information science terms, which can also be highly related to academic success. In this regard, this study set out to investigate the effects of several variables on the learning processes of 930 e-learning students in the Sakarya University distance learning program. The findings of the research indicated that factors perceived playfulness, perceived ease of use and multimedia content effectiveness had a significant effect on perceived usefulness. Furthermore, it was concluded that satisfaction was affected by perceived usefulness, perceived playfulness and multimedia content effectivenes

  9. Antibacterial and antifungal effects of essential oils from coniferous trees.

    Science.gov (United States)

    Hong, Eui-Ju; Na, Ki-Jeung; Choi, In-Gyu; Choi, Kyung-Chul; Jeung, Eui-Bae

    2004-06-01

    Essential oils have potential biological effects, i.e., antibiotic, anticarcinogenic, and sedative effects during stress. In the present study, we investigated the antibacterial and antifungal effects of essential oils extracted from the coniferous species Pinus densiflora, Pinus koraiensis, and Chamaecyparis obtusa, because their biological activities have not been yet elucidated. The essential oils were quantified using gas chromatography and identified in gas chromatography-mass spectrometric analysis. Simultaneously, antibacterial and antifungal assays were performed using the essential oils distilled from the needles of coniferous trees. The major components and the percentage of each essential oil were: 19.33% beta-thujene in P. densiflora; 10.49% alpha-pinene in P. koraiensis; 10.88% bornyl acetate in C. obtusa. The essential oils from P. densiflora and C. obtusa have antibacterial effects, whereas essential oils from P. koraiensis and C. obtusa have antifungal effects. These results indicate that the essential oils from the three coniferous trees, which have mild antimicrobial properties, can inhibit the growth of gram-positive and gram-negative bacteria and fungi.

  10. GP supervisors' experience in supporting self-regulated learning: a balancing act

    NARCIS (Netherlands)

    Sagasser, M.H.; Kramer, A.W.M.; Weel, C. van; Vleuten, C.P.M. van der

    2015-01-01

    Self-regulated learning is essential for professional development and lifelong learning. As self-regulated learning has many inaccuracies, the need to support self-regulated learning has been recommended. Supervisors can provide such support. In a prior study trainees reported on the variation in

  11. Loneliness, immigration background and self-identified ethnicity

    DEFF Research Database (Denmark)

    Madsen, Katrine Rich; Damsgaard, Mogens Trab; Jervelund, Signe Smith

    2016-01-01

    an increased risk of loneliness compared to adolescents with a Danish origin. The results also suggest that adolescents’ self-identified ethnicity plays an essential role but differently for immigrants and descendants: identifying with the Danish majority was protective against loneliness among immigrants...

  12. Building Critical Capacities for Leadership Learning.

    Science.gov (United States)

    Torrez, Mark Anthony; Rocco, Melissa L

    2015-01-01

    Cognitive elements of transformational learning, particularly metacognition and critical self-reflection, are discussed as essential considerations for leadership development in the 21st century. The importance of developmentally sequencing leadership-learning experiences and addressing evolving complexities of leadership identity are also explored. © 2015 Wiley Periodicals, Inc., A Wiley Company.

  13. Exploring the learnings derived from catalytic experiences in a leadership context

    Directory of Open Access Journals (Sweden)

    Daphna S. Horowitz

    2015-06-01

    Full Text Available Orientation: Personal leadership comprises self-awareness, authenticity, inspiration and passion. The concept of personal leadership was explored together with its relationship with leadership-related learnings derived from a catalytic experience. Research purpose: The objective of the study was to explore the leadership-related learnings derived from a catalytic experience and any connection between these learnings, personal leadership and leadership in an organisational context. Motivation for the study: Measurement of leaders’ performance remains largely focused on the results achieved. The importance of personal leadership in the corporate environment is often ignored and even questioned. Recognising that there is a relationship between personal leadership and professional leadership enables leaders to connect who they are being and what they are doing. This can enhance their leadership. Research design, approach and method: The study was conducted using a qualitative approach, specifically narrative enquiry. The sample comprised seven leaders who have had catalytic experiences in their lives. In-depth interviews were conducted and thematic analysis was used to identify themes on the leadership-related learnings gained from the leaders’catalytic experiences. Main findings: Elements of personal leadership and the processes involved in the development of personal leadership were identified. It was furthermore shown that challenging experiences serve as learning opportunities and that time for reflection is essential in this learning process. Practical/managerial implications: Leadership lessons are best learnt through experience.Using challenging experiences as learning opportunities may assist leaders in their growth and development. Contribution: Leadership effectiveness and organisational effectiveness may be enhanced by a more holistic view of leadership that includes elements of personal leadership.

  14. THE USE OF INDUSTRIAL VISITS TO ENHANCE LEARNING AT ENGINEERING COURSES

    Directory of Open Access Journals (Sweden)

    TIRUNELVELI N. P. PADMESH

    2013-04-01

    Full Text Available Industrial visits represent an important activity in any engineering undergraduate programme that contributes to the achievement of various essential learning outcomes and programme objectives. This paper reports on an attempt to make the industrial visit an integral part of the Engineering Design and Communication course. This is achieved through identifying learning outcomes and a suitable industrial site to achieve them. For this purpose a thermal power plant was indentified as a site to be visited by students. The visit was planned to help students to achieve the learning outcomes. A number of questions in form of surveys, related to the learning outcomes, were prepared and given to the students to answer. The pre-visit, after-visit, and post-visit surveys were aimed at priming the minds of the students, gauging the level of satisfaction, and assessing the level of retention of knowledge, respectively. Students found this method very useful and they were able to remember a fair bit of information after about semester from the trip date. Our assessment of this exercise is the objectives have been achieved.

  15. Identifying a K-10 Developmental Framework for Teaching Philosophy

    Science.gov (United States)

    Poulton, Janette

    2014-01-01

    The intention of the study was to identify predictable opportunities for teachers to scaffold middle year students' philosophical learning. Such opportunities were identified in terms of students' readiness to learn certain behaviours in the context of a "community of inquiry". Thus it was hoped that the project would provide a useful…

  16. Learning about Learning: A Conundrum and a Possible Resolution

    Science.gov (United States)

    Barnett, Ronald

    2011-01-01

    What is it to learn in the modern world? We can identify four "learning epochs" through which our understanding of learning has passed: a metaphysical view; an empirical view; an experiential view; and, currently, a "learning-amid-contestation" view. In this last and current view, learning has its place in a world in which, the more one learns,…

  17. Learning to Learn Together with CSCL Tools

    Science.gov (United States)

    Schwarz, Baruch B.; de Groot, Reuma; Mavrikis, Manolis; Dragon, Toby

    2015-01-01

    In this paper, we identify "Learning to Learn Together" (L2L2) as a new and important educational goal. Our view of L2L2 is a substantial extension of "Learning to Learn" (L2L): L2L2 consists of learning to collaborate to successfully face L2L challenges. It is inseparable from L2L, as it emerges when individuals face problems…

  18. Towards global interoperability for supporting biodiversity research on Essential Biodiversity Variables (EBVs)

    NARCIS (Netherlands)

    Kissling, W.D.; Hardisty, A.; García, E.A.; Santamaria, M.; De Leo, F.; Pesole, G.; Freyhof, J.; Manset, D.; Wissel, S.; Konijn, J.; Los, W.

    2015-01-01

    Essential biodiversity variables (EBVs) have been proposed by the Group on Earth Observations Biodiversity Observation Network (GEO BON) to identify a minimum set of essential measurements that are required for studying, monitoring and reporting biodiversity and ecosystem change. Despite the initial

  19. How School Districts Can Support Deeper Learning: The Need for Performance Alignment. Executive Summary. Deeper Learning Research Series

    Science.gov (United States)

    Honig, Meredith I.; Rainey, Lydia R.

    2015-01-01

    School district leaders nationwide aspire to help their schools become vibrant places for learning--where students have meaningful academic opportunities "and" develop critical thinking and problem-solving skills, the ability to communicate effectively, and other deeper learning capacities that are essential to success in later life.…

  20. Quality Assurance in E-Learning: PDPP Evaluation Model and Its Application

    Science.gov (United States)

    Zhang, Weiyuan; Cheng, Y. L.

    2012-01-01

    E-learning has become an increasingly important teaching and learning mode in educational institutions and corporate training. The evaluation of e-learning, however, is essential for the quality assurance of e-learning courses. This paper constructs a four-phase evaluation model for e-learning courses, which includes planning, development,…

  1. Chemical composition and antimicrobial activity of the essential oils of Pinus pinaster

    OpenAIRE

    Nouara Ait Mimoune; Djouher Ait Mimoune; Aziza Yataghene

    2013-01-01

    Objective: To investigate the antimicrobial activity and chemical composition of essential oils of Pinus pinaster. Methods: Essential oils were extracted from the needles by hydrodistillation. The chemical composition of the obtained essential oils was analyzed using GC-MS technique. The antimicrobial potential has been tested against six microorganisms performing the disc diffusion assay. Results: Twenty-three components have been identified. β-caryophyllene (30.9%) and β-seli...

  2. Factors enabling and inhibiting facilitator development: lessons learned from Essentials of Care in South Eastern Sydney Local Health District

    Directory of Open Access Journals (Sweden)

    Tamera Watling

    2015-11-01

    . Conclusion: Facilitators need to be enabled to access training, practise their skills and learn from more experienced facilitators. There are parallels between the enablers of progress of the implementation of Essentials of Care and those to promote the development of facilitation capacity. Organisational leaders have a significant role in supporting both; it is critical they ensure there is a team of facilitators to share the workload, that time is allocated for facilitators to be released from clinical duties for development opportunities, and that there is time for teams to engage in programme activities. Implications for practice: •\tFindings suggest a relationship between facilitation capacity, context and the progression of practice development-based work. This evaluation offers practical examples that inform how these elements may be enhanced for the successful pursuit of person-centred healthcare practice •\tManagers and those in leadership positions have a key role in overcoming the contextual factors that inhibit facilitator development and programme implementation •\tOrganisational planning and accountability to manage staffing, ensure optimal workloads and promote practice development work as a priority supports the engagement and motivation of staff to participate in programme activities, and therefore the capacity of teams to progress practice development work and transform culture and practice •\tThe engagement of managers and those in leadership positions to clarify roles and responsibilities and establish agreed mechanisms for support of individuals and teams should precede the implementation of practice development programmes •\tTime is a significant resource in the successful advancement of facilitator development and programmes underpinned by practice development. In healthcare contexts, where staff feel time poor in the presence of the increasing demands of patient care, the pressure of multiple improvement programmes and other professional

  3. Chemical Composition and Nematicidal Activity of Essential Oil of Agastache rugosa against Meloidogyne incognita

    Directory of Open Access Journals (Sweden)

    Zhi Wei Deng

    2013-04-01

    Full Text Available The aim of this research was to determine the chemical composition and nematicidal activity of essential oil of Agastache rugosa flowering aerial parts against the root knot nematode, Meloidogyne incognita, and to isolate and identify any nematicidal constituents from the essential oil. The essential oil of A. rugosa aerial parts was obtained by hydrodistillation and analyzed by GC-FID and GC-MS. A total of 37 components of the essential oil were identified, with the principal compounds being methyleugenol (50.51%, estragole (8.55%, and eugenol (7.54%, followed by thymol (3.62%, pulegone (2.56%, limonene (2.49% and caryophyllene (2.38%. Based on bioactivity-guided fractionation, the three active constituents were isolated from the essential oil and identified as methyleugenol, estragole and eugenol. The essential oil of A. rugosa exhibited strong nematicidal activity against M. incognita, with a LC50 value of 47.3 μg/mL. The components eugenol (LC50 = 66.6 μg/mL and methyleugenol (LC50 = 89.4 μg/mL exhibited stronger nematicidal activity against M. incognita (LC50 = 185.9 μg/mL. The results indicate that the essential oil of A. rugosa aerial parts and its constituent compounds have potential for development into natural nematicides for control of the root knot nematode.

  4. A Machine Learning Approach to Identifying Placebo Responders in Late-Life Depression Trials.

    Science.gov (United States)

    Zilcha-Mano, Sigal; Roose, Steven P; Brown, Patrick J; Rutherford, Bret R

    2018-01-11

    Despite efforts to identify characteristics associated with medication-placebo differences in antidepressant trials, few consistent findings have emerged to guide participant selection in drug development settings and differential therapeutics in clinical practice. Limitations in the methodologies used, particularly searching for a single moderator while treating all other variables as noise, may partially explain the failure to generate consistent results. The present study tested whether interactions between pretreatment patient characteristics, rather than a single-variable solution, may better predict who is most likely to benefit from placebo versus medication. Data were analyzed from 174 patients aged 75 years and older with unipolar depression who were randomly assigned to citalopram or placebo. Model-based recursive partitioning analysis was conducted to identify the most robust significant moderators of placebo versus citalopram response. The greatest signal detection between medication and placebo in favor of medication was among patients with fewer years of education (≤12) who suffered from a longer duration of depression since their first episode (>3.47 years) (B = 2.53, t(32) = 3.01, p = 0.004). Compared with medication, placebo had the greatest response for those who were more educated (>12 years), to the point where placebo almost outperformed medication (B = -0.57, t(96) = -1.90, p = 0.06). Machine learning approaches capable of evaluating the contributions of multiple predictor variables may be a promising methodology for identifying placebo versus medication responders. Duration of depression and education should be considered in the efforts to modulate placebo magnitude in drug development settings and in clinical practice. Copyright © 2018 American Association for Geriatric Psychiatry. Published by Elsevier Inc. All rights reserved.

  5. Composition of the Essential Oil of Aristolochia Manshurientsis Kom

    Science.gov (United States)

    Zhao, Xiuhong; Xin, Guang; Zhao, Lichun; Xiao, Zhigang; Xue, Bai

    2018-03-01

    This study demonstrated the chemical constituents of the essential oil of Aristolochia manshurientsis Kom and improved the essential oil efficiency by the enzyme-assisted extraction followed by hydrodistillation. The essential oils of Aristolochia manshurientsis Kom acquired by hydrodistillation after the solvent extraction with and without the assistance of cellulase have been investigated by gas chromatography/Mass spectrometry (GC-MS). The predominant constituents of both types of essential oils are camphene, 1,7,7-trimethyl-bicyclo [2.2.1] hept-2-yl acetate, 1,6-dimethyl-4-(1-methylethyl) naphthalene, caryophyllene oxide, borneol, and (-)-Spathulenol. The enzyme-assisted extraction not only increased extracting efficiency of the essential oil from 4.93% to 9.36%, but also facilitated the extraction of additional eight compounds such as 2-methano(-6,6-dimethyl) bicycle [3.1.1] hept-2-ene, (+)--terpineol and 1-propyl-3-(propen-1-yl) adamantane, which were not identified from the non-enzyme extraction sample.

  6. Teaching and Learning Strategies

    Science.gov (United States)

    Whitton, Diana

    2015-01-01

    "Teaching and Learning Strategies" is a practical guide for pre-service teachers who know and understand the content of the curriculum and are looking for additional tools to teach it effectively. This book will help students to develop a comprehensive knowledge of teaching and learning strategies, which is essential in ensuring lessons…

  7. [Anaesthetists learn--do institutions also learn? Importance of institutional learning and corporate culture in clinics].

    Science.gov (United States)

    Schüpfer, G; Gfrörer, R; Schleppers, A

    2007-10-01

    In only a few contexts is the need for substantial learning more pronounced than in health care. For a health care provider, the ability to learn is essential in a changing environment. Although individual humans are programmed to learn naturally, organisations are not. Learning that is limited to individual professions and traditional approaches to continuing medical education is not sufficient to bring about substantial changes in the learning capacity of an institution. Also, organisational learning is an important issue for anaesthesia departments. Future success of an organisation often depends on new capabilities and competencies. Organisational learning is the capacity or processes within an organisation to maintain or improve performance based on experience. Learning is seen as a system-level phenomenon as it stays in the organisation regardless of the players involved. Experience from other industries shows that learning strategies tend to focus on single loop learning, with relatively little double loop learning and virtually no meta-learning or non-learning. The emphasis on team delivery of health care reinforces the need for team learning. Learning organisations make learning an intrinsic part of their organisations and are a place where people continually learn how to learn together. Organisational learning practice can help to improve existing skills and competencies and to change outdated assumptions, procedures and structures. So far, learning theory has been ignored in medicine, due to a wide variety of complex political, economic, social, organisational culture and medical factors that prevent innovation and resist change. The organisational culture is central to every stage of the learning process. Learning organisations move beyond simple employee training into organisational problem solving, innovation and learning. Therefore, teamwork and leadership are necessary. Successful organisations change the competencies of individuals, the systems

  8. French essentials for dummies

    CERN Document Server

    Lawless, Laura K

    2011-01-01

    Just the core concepts you need to write and speak French correctly If you have some knowledge of French and want to polish your skills, French Essentials For Dummies focuses on just the core concepts you need to communicate effectively. From conjugating verbs to understanding tenses, this easy-to-follow guide lets you skip the suffering and score high at exam time. French 101 - get the lowdown on the basics, from expressing dates and times to identifying parts of speech Gender matters - see how a noun's gender determines the articles, adjectives, and pronouns y

  9. Glandular Trichomes and Essential Oil of Thymus quinquecostatus

    Directory of Open Access Journals (Sweden)

    Ping Jia

    2013-01-01

    Full Text Available The distribution and types of glandular trichomes and essential oil chemistry of Thymus quinquecostatus were studied. The glandular trichomes are distributed on the surface of stem, leaf, rachis, calyx and corolla, except petiole, pistil and stamen. Three morphologically distinct types of glandular trichomes are described. Peltate trichomes, consisting of a basal cell, a stalk cell and a 12-celled head, are distributed on the stem, leaf, corolla and outer side of calyx. Capitate trichomes, consisting of a unicellular base, a 1–2-celled stalk and a unicellular head, are distributed more diffusely than peltate ones, existing on stem, leaf, rachis and calyx. Digitiform trichomes are just distributed on the outer side of corolla, consisting of 1 basal cell, 3 stalk cells and 1 head cell. All three types of glandular trichomes can secrete essential oil, and in small capitate trichomes of rachis, all peltate trichomes and digitiform trichomes, essential oil is stored in a large subcuticular space, released by cuticle rupture, whereas, in other capitate trichomes, essential oil crosses the thin cuticle. The essential oil of T. quinquecostatus is yellow, and its content is highest in the growth period. 68 constituents were identified in the essential oils. The main constituent is linalool.

  10. Enhancing clinical learning in the workplace: a qualitative study.

    Science.gov (United States)

    Magnier, K; Wang, R; Dale, V H M; Murphy, R; Hammond, R A; Mossop, L; Freeman, S L; Anderson, C; Pead, M J

    Workplace learning (WPL) is seen as an essential component of clinical veterinary education by the veterinary profession. This study sought to understand this type of learning experience more deeply. This was done utilising observations of students on intramural rotations (IMR) and interviews with students and clinical staff. WPL was seen as an opportunity for students to apply knowledge and develop clinical and professional skills in what is generally regarded as a safe, authentic environment. Clinical staff had clear ideas of what they expected from students in terms of interest, engagement, professionalism, and active participation, where this was appropriate. In contrast, students often did not know what to expect and sometimes felt under-prepared when entering the workplace, particularly in a new species area. With the support of staff acting as mentors, students learned to identify gaps in their knowledge and skills, which could then be addressed during specific IMR work placements. Findings such as these illustrate both the complexities of WPL and the diversity of different workplace settings encountered by the students.

  11. Learning Cultures in Small to Medium-Size Enterprises and Their Role in Supporting the Learning Region

    Science.gov (United States)

    Fitzpatrick, Maeve; O'Connell, Janice; Murphy, Eamonn

    2010-01-01

    The role of work-based learning is a pivotal part of developing the learning region. With rates of employment at their highest for many years across Europe, the need for up-skilling the workforce in many areas will be essential to retain competitiveness and employability. This paper will focus on quality management up-skilling in small to…

  12. Learning Object-Orientation through ICT-mediated Apprenticeship

    DEFF Research Database (Denmark)

    Fjuk, A.; Berge, O.; Bennedsen, J.

    2004-01-01

    In this paper, we show how sociocultural theories inform the design of a course in object-oriented programming. An essential learning objective within this philosophy is the programming processes as such. To move toward this learning goal, the course design incorporates a combination of the so...

  13. Analyzing Service-Learning Reflections through Fink's Taxonomy

    Science.gov (United States)

    Barnes, Meghan E.; Caprino, Kathryn

    2016-01-01

    Reflection is an increasingly essential component of experience-based learning in higher education to encourage students to draw connections between theoretical and practical knowledge and experiences. This qualitative study examines the reflections of undergraduate students in a service-learning course for secondary English teacher candidates.…

  14. The Guided Autobiography Method: A Learning Experience

    Science.gov (United States)

    Thornton, James E.

    2008-01-01

    This article discusses the proposition that learning is an unexplored feature of the guided autobiography method and its developmental exchange. Learning, conceptualized and explored as the embedded and embodied processes, is essential in narrative activities of the guided autobiography method leading to psychosocial development and growth in…

  15. Using natural language processing and machine learning to identify gout flares from electronic clinical notes.

    Science.gov (United States)

    Zheng, Chengyi; Rashid, Nazia; Wu, Yi-Lin; Koblick, River; Lin, Antony T; Levy, Gerald D; Cheetham, T Craig

    2014-11-01

    Gout flares are not well documented by diagnosis codes, making it difficult to conduct accurate database studies. We implemented a computer-based method to automatically identify gout flares using natural language processing (NLP) and machine learning (ML) from electronic clinical notes. Of 16,519 patients, 1,264 and 1,192 clinical notes from 2 separate sets of 100 patients were selected as the training and evaluation data sets, respectively, which were reviewed by rheumatologists. We created separate NLP searches to capture different aspects of gout flares. For each note, the NLP search outputs became the ML system inputs, which provided the final classification decisions. The note-level classifications were grouped into patient-level gout flares. Our NLP+ML results were validated using a gold standard data set and compared with the claims-based method used by prior literatures. For 16,519 patients with a diagnosis of gout and a prescription for a urate-lowering therapy, we identified 18,869 clinical notes as gout flare positive (sensitivity 82.1%, specificity 91.5%): 1,402 patients with ≥3 flares (sensitivity 93.5%, specificity 84.6%), 5,954 with 1 or 2 flares, and 9,163 with no flare (sensitivity 98.5%, specificity 96.4%). Our method identified more flare cases (18,869 versus 7,861) and patients with ≥3 flares (1,402 versus 516) when compared to the claims-based method. We developed a computer-based method (NLP and ML) to identify gout flares from the clinical notes. Our method was validated as an accurate tool for identifying gout flares with higher sensitivity and specificity compared to previous studies. Copyright © 2014 by the American College of Rheumatology.

  16. Vocational trainees' views and experiences regarding the learning and teaching of communication skills in general practice.

    Science.gov (United States)

    Van Nuland, Marc; Thijs, Gabie; Van Royen, Paul; Van den Noortgate, Wim; Goedhuys, Jo

    2010-01-01

    To explore the views and experiences of general practice (GP) vocational trainees regarding communication skills (CS) and the teaching and learning of these skills. A purposive sample of second and third (final) year GP trainees took part in six focus group (FG) discussions. Transcripts were coded and analysed in accordance with a grounded theory approach by two investigators using Alas-ti software. Finally results were triangulated by means of semi-structured telephone interviews. The analysis led to three thematic clusters: (1) trainees acknowledge the essential importance of communication skills and identified contextual factors influencing the learning and application of these skills; (2) trainees identified preferences for learning and receiving feedback on their communication skills; and (3) trainees perceived that the assessment of communication skills is subjective. These themes are organised into a framework for a better understanding of trainees' communication skills as part of their vocational training. The framework helps in leading to a better understanding of the way in which trainees learn and apply communication skills. The unique context of vocational training should be taken into account when trainees' communication skills are assessed. The teaching and learning should be guided by a learner-centred approach. The framework is valuable for informing curricular reform and future research.

  17. Essentials of the finite element method for mechanical and structural engineers

    CERN Document Server

    Pavlou, Dimitrios G

    2015-01-01

    Fundamental coverage, analytic mathematics, and up-to-date software applications are hard to find in a single text on the finite element method (FEM). Dimitrios Pavlou's Essentials of the Finite Element Method: For Structural and Mechanical Engineers makes the search easier by providing a comprehensive but concise text for those new to FEM, or just in need of a refresher on the essentials. Essentials of the Finite Element Method explains the basics of FEM, then relates these basics to a number of practical engineering applications. Specific topics covered include linear spring elements, bar elements, trusses, beams and frames, heat transfer, and structural dynamics. Throughout the text, readers are shown step-by-step detailed analyses for finite element equations development. The text also demonstrates how FEM is programmed, with examples in MATLAB, CALFEM, and ANSYS allowing readers to learn how to develop their own computer code. Suitable for everyone from first-time BSc/MSc students to practicing mechanic...

  18. ONLINE SCIENCE LEARNING:Best Practices and Technologies

    OpenAIRE

    TOJDE

    2009-01-01

    This essential publication is for all research and academic libraries, especially those institutions with online and distance education courses available in their science education programs. This book will also benefit audiences within the science education community of practice and others interested in STEM education, virtual schools, e-learning, m-learning, natural sciences, physical sciences, biological sciences, geosciences, online learning models, virtual laboratories, virtual field trip...

  19. Chemical Constituents and Activity of Murraya microphylla Essential Oil against Lasioderma serricorne.

    Science.gov (United States)

    You, Chun-Xue; Guo, Shan-Shan; Zhang, Wen-Juan; Yang, Kai; Wang, Cheng-Fang; Geng, Zhu-Feng; Du, Shu-Shan; Deng, Zhi-Wei; Wang, Yong-Yan

    2015-09-01

    The chemical composition, contact and repellent activities of the essential oil from Murraya microphylla branches and leaves against Lasioderma serricorne adults were determined and six compounds from the essential oil were isolated as well. The essential oil of M microphylla obtained by hydrodistillation was analyzed by gas chromatography-mass spectrometric (GC-MS) analysis; 22 compounds were identified. The main constituents of the essential oil included β-caryophyllene (18.0%), α-pinene (13.8%), spathulenol (9.5%), α-humulene (6.0%), γ-elemene (5.1%) and zingiberene (4.6%), followed by α-cadinol (3.9%) and caryophyllene oxide (3.8%). Six of these compounds were isolated and fully identified as α-pinene, β-caryophyllene, α-humulene, caryophyllene oxide, spathulenol and α-cadinol. L. serricorne adults had different sensitivities to the crude essential oil and isolated compounds. α-Humulene exhibited the strongest contact activity against L. serricorne, showing an LD50 value of 13.1 µg adult(-1). However, spathulenol, the crude essential oil and α-cadinol showed stronger contact activity against L. serricorne than caryophyllene oxide and β-caryophyllene. The essential oil, α-humulene and spathulenol showed comparable repellency against L. serricorne adults at 2 h after exposure, relative to the positive control, DEET. The results demonstrate that the essential oil and isolated compounds exhibited important contact and repellent activities against L. serricorne. Thus, they could become potential natural insecticides or repellents for control of insects in stored products.

  20. Learning Leadership

    DEFF Research Database (Denmark)

    Hertel, Frederik; Fast, Alf Michael

    2018-01-01

    Is leadership a result of inheritance or is it something one learns during formal learning in e.g. business schools? This is the essential question addressed in this article. The article is based on a case study involving a new leader in charge of a group of profession practitioners. The leader...... promotes his leadership as a profession comparable to the professions of practitioners. This promotion implies that leadership is something one can and probably must learn during formal learning. The practitioners on the other hand reject this comprehension of leadership and long for a fellow practitioner...... to lead the organization. While asked they are unable to describe how, where and when they think a practitioner develops leadership skills necessary for leading fellows. In the following we will start analysing the case in order to comprehend and discuss both the professional leaders and the practitioners...

  1. COLLAGE: A Collaborative Learning Design Editor Based on Patterns

    Science.gov (United States)

    Hernandez-Leo, Davinia; Villasclaras-Fernandez, Eloy D.; Asensio-Perez, Juan I.; Dimitriadis, Yannis; Jorrin-Abellan, Ivan M.; Ruiz-Requies, Ines; Rubia-Avi, Bartolome

    2006-01-01

    This paper introduces "Collage", a high-level IMS-LD compliant authoring tool that is specialized for CSCL (Computer-Supported Collaborative Learning). Nowadays CSCL is a key trend in e-learning since it highlights the importance of social interactions as an essential element of learning. CSCL is an interdisciplinary domain, which…

  2. Learning to Act: Qualitative Learning of Deterministic Action Models

    DEFF Research Database (Denmark)

    Bolander, Thomas; Gierasimczuk, Nina

    2017-01-01

    In this article we study learnability of fully observable, universally applicable action models of dynamic epistemic logic. We introduce a framework for actions seen as sets of transitions between propositional states and we relate them to their dynamic epistemic logic representations as action...... in the limit (inconclusive convergence to the right action model). We show that deterministic actions are finitely identifiable, while arbitrary (non-deterministic) actions require more learning power—they are identifiable in the limit. We then move on to a particular learning method, i.e. learning via update......, which proceeds via restriction of a space of events within a learning-specific action model. We show how this method can be adapted to learn conditional and unconditional deterministic action models. We propose update learning mechanisms for the afore mentioned classes of actions and analyse...

  3. Analysis of pan-genome to identify the core genes and essential genes of Brucella spp.

    Science.gov (United States)

    Yang, Xiaowen; Li, Yajie; Zang, Juan; Li, Yexia; Bie, Pengfei; Lu, Yanli; Wu, Qingmin

    2016-04-01

    Brucella spp. are facultative intracellular pathogens, that cause a contagious zoonotic disease, that can result in such outcomes as abortion or sterility in susceptible animal hosts and grave, debilitating illness in humans. For deciphering the survival mechanism of Brucella spp. in vivo, 42 Brucella complete genomes from NCBI were analyzed for the pan-genome and core genome by identification of their composition and function of Brucella genomes. The results showed that the total 132,143 protein-coding genes in these genomes were divided into 5369 clusters. Among these, 1710 clusters were associated with the core genome, 1182 clusters with strain-specific genes and 2477 clusters with dispensable genomes. COG analysis indicated that 44 % of the core genes were devoted to metabolism, which were mainly responsible for energy production and conversion (COG category C), and amino acid transport and metabolism (COG category E). Meanwhile, approximately 35 % of the core genes were in positive selection. In addition, 1252 potential essential genes were predicted in the core genome by comparison with a prokaryote database of essential genes. The results suggested that the core genes in Brucella genomes are relatively conservation, and the energy and amino acid metabolism play a more important role in the process of growth and reproduction in Brucella spp. This study might help us to better understand the mechanisms of Brucella persistent infection and provide some clues for further exploring the gene modules of the intracellular survival in Brucella spp.

  4. Essential oils and their compositions as spatial repellents for pestiferous social wasps.

    Science.gov (United States)

    Zhang, Qing-He; Schneidmiller, Rodney G; Hoover, Doreen R

    2013-04-01

    The study objectives were: (1) to field test potential repellency of common essential oils against several pestiferous social wasps (Hymenoptera: Vespidae), using attractant-baited traps; (2) to identify vespid antennally active compounds from the repellent essential oils; (3) to determine potential repellency of these electroantennographic detection (EAD) active compounds in the field. Of the 21 essential oils tested, 17 showed significant repellency on yellowjackets [mainly Vespula pensylvanica (Saussure)] and paper wasps [mainly Polistes dominulus (Christ)]: clove, pennyroyal, lemongrass, ylang ylang, spearmint, wintergreen, sage, rosemary, lavender, geranium, patchouli, citronella, Roman chamomile, thyme, fennel seed, anise and peppermint. Two essential oil mixtures - 3EO-mix (clove, geranium and lemongrass) and 4EO-mix (clove, geranium, lemongrass and rosemary) - totally blocked the attraction of vespid workers. Twenty-nine vespid antennally active compounds were identified from solid-phase microextraction (SPME) samples of 11 strongly repellent essential oils by GC-EAD/MS techniques. Among the synthetic EAD-active compounds field tested, eugenol, P/I-menthone, pulegone, α/β-thujone, l-carvone, E/Z-citral, citronellal, methyl benzoate, benzyl acetate, methyl salicylate and 3-octanol showed a significant repellency on vespid workers. These compounds are likely responsible for the repellency of their corresponding essential oils. These repellent essential oils and their active compositions have great potential for efficient, environmentally sound semiochemical-based IPM of pestiferous vespid wasps. © 2012 Society of Chemical Industry.

  5. Modern Languages and Specific Learning Difficulties (SpLD): Implications of Teaching Adult Learners with Dyslexia in Distance Learning

    Science.gov (United States)

    Gallardo, Matilde; Heiser, Sarah; Arias McLaughlin, Ximena

    2015-01-01

    In modern language (ML) distance learning programmes, teachers and students use online tools to facilitate, reinforce and support independent learning. This makes it essential for teachers to develop pedagogical expertise in using online communication tools to perform their role. Teachers frequently raise questions of how best to support the needs…

  6. Essential oil composition of Eucalyptus microtheca and Eucalyptus viminalis

    Directory of Open Access Journals (Sweden)

    Malek Taher Maghsoodlou

    2015-10-01

    Full Text Available Objective: Eucalyptus (Fam. Myrtaceae is a medicinal plant and various Eucalyptus species possess potent pharmacological actions against diabetes, hepatotoxicity, and inflammation. This study aims to investigate essential oil compositionfrom leaves and flowers of E. microthecaand E. viminalisleavesgrowing in the Southeast of Iran. Materials and Methods: The aerial parts of these plants were collected from Zahedan, Sistan and Baluchestan province, Iran in 2013.After drying the plant materials in the shade, the chemical composition of the essential oils was obtained by hydro-distillation method using a Clevenger-type apparatus and analyzed by GC/MS. Results: In the essential oil of E. microtheca leaves, 101 compounds representing 100%, were identified. Among them, α-phellandrene (16.487%, aromadendrene (12.773%, α-pinene (6.752%, globulol (5.997%, ledene (5.665%, P-cymen (5.251%, and β-pinene (5.006% were the major constituents.  In the oil of E. microtheca flowers, 88 compounds representing 100%, were identified in which α-pinene (16.246%, O-cymen (13.522%, β-pinene (11.082%, aromadendrene (7.444%, α-phellandrene (7.006%, globulol (5.419%, and 9-octadecenamide (5.414% were the major components. Sixty six compounds representing 100% were identified in the oil of E. viminalis leaves. The major compounds were 1, 8-cineole (57.757%, α-pinene (13.379%, limonene (5.443%, and globulol (3.054%. Conclusion: The results showed the essential oils fromthe aerial parts of Eucalyptus speciesare a cheap source for the commercial isolation of α-phellandrene, α-pinene, and 1, 8-cineole compounds to be used in medicinal and food products. Furthermore, these plants could be an alternative source of insecticide agents.

  7. Essential oil composition of Eucalyptus microtheca and Eucalyptus viminalis.

    Science.gov (United States)

    Maghsoodlou, Malek Taher; Kazemipoor, Nasrin; Valizadeh, Jafar; Falak Nezhad Seifi, Mohsen; Rahneshan, Nahid

    2015-01-01

    Eucalyptus (Fam. Myrtaceae) is a medicinal plant and various Eucalyptus species possess potent pharmacological actions against diabetes, hepatotoxicity, and inflammation. This study aims to investigate essential oil composition from leaves and flowers of E. microtheca and E. viminalis leaves growing in the Southeast of Iran. The aerial parts of these plants were collected from Zahedan, Sistan and Baluchestan province, Iran in 2013. After drying the plant materials in the shade, the chemical composition of the essential oils was obtained by hydro-distillation method using a Clevenger-type apparatus and analyzed by GC/MS. In the essential oil of E. microtheca leaves, 101 compounds representing 100%, were identified. Among them, α-phellandrene (16.487%), aromadendrene (12.773%), α-pinene (6.752%), globulol (5.997%), ledene (5.665%), P-cymen (5.251%), and β-pinene (5.006%) were the major constituents. In the oil of E. microtheca flowers, 88 compounds representing 100%, were identified in which α-pinene (16.246%), O-cymen (13.522%), β-pinene (11.082%), aromadendrene (7.444%), α-phellandrene (7.006%), globulol (5.419%), and 9-octadecenamide (5.414%) were the major components. Sixty six compounds representing 100% were identified in the oil of E. viminalis leaves. The major compounds were 1, 8-cineole (57.757%), α-pinene (13.379%), limonene (5.443%), and globulol (3.054%). The results showed the essential oils from the aerial parts of Eucalyptus species are a cheap source for the commercial isolation of α-phellandrene, α-pinene, and 1, 8-cineole compounds to be used in medicinal and food products. Furthermore, these plants could be an alternative source of insecticide agents.

  8. Chemical Composition and Bioactivity of Essential Oil from Blepharocalyx salicifolius

    Science.gov (United States)

    Furtado, Fabiana Barcelos; Borges, Bruna Cristina; Teixeira, Thaise Lara; de Almeida Junior, Luiz Domingues; Alves, Fernanda Cristina Bérgamo; da Silva, Claudio Vieira

    2018-01-01

    Natural products represent a source of biologically active molecules that have an important role in drug discovery. The aromatic plant Blepharocalyx salicifolius has a diverse chemical constitution but the biological activities of its essential oils have not been thoroughly investigated. The aims of this paper were to evaluate in vitro cytotoxic, antifungal and antibacterial activities of an essential oil from leaves of B. salicifolius and to identify its main chemical constituents. The essential oil was extracted by steam distillation, chemical composition was determined by gas chromatography/mass spectrometry, and biological activities were performed by a microdilution broth method. The yield of essential oil was 0.86% (w/w), and the main constituents identified were bicyclogermacrene (17.50%), globulol (14.13%), viridiflorol (8.83%), γ-eudesmol (7.89%) and α-eudesmol (6.88%). The essential oil was cytotoxic against the MDA-MB-231 (46.60 μg·mL−1) breast cancer cell line, being more selective for this cell type compared to the normal breast cell line MCF-10A (314.44 μg·mL−1). Flow cytometry and cytotoxicity results showed that this oil does not act by inducing cell death, but rather by impairment of cellular metabolism specifically of the cancer cells. Furthermore, it presented antifungal activity against Paracoccidioides brasiliensis (156.25 μg·mL−1) but was inactive against other fungi and bacteria. Essential oil from B. salicifolius showed promising biological activities and is therefore a source of molecules to be exploited in medicine or by the pharmaceutical industry. PMID:29300307

  9. Learning ActionScript 30

    CERN Document Server

    Shupe, Rich

    2010-01-01

    If you're new to ActionScript 3.0, or want to enhance your skill set, this bestselling book is the ideal guide. Designers, developers, and programmers alike will find Learning ActionScript 3.0 invaluable for navigating ActionScript 3.0's learning curve. You'll learn the language by getting a clear look at essential topics such as logic, event handling, displaying content, classes, and much more. Updated for Flash Professional CS5, this revised and expanded edition delivers hands-on exercises and full-color code samples to help you increase your abilities as you progress through the book. Top

  10. Video Content Search System for Better Students Engagement in the Learning Process

    Directory of Open Access Journals (Sweden)

    Alanoud Alotaibi

    2014-12-01

    Full Text Available As a component of the e-learning educational process, content plays an essential role. Increasingly, the video-recorded lectures in e-learning systems are becoming more important to learners. In most cases, a single video-recorded lecture contains more than one topic or sub-topic. Therefore, to enable learners to find the desired topic and reduce learning time, e-learning systems need to provide a search capability for searching within the video content. This can be accomplished by enabling learners to identify the video or portion that contains a keyword they are looking for. This research aims to develop Video Content Search system to facilitate searching in educational videos and its contents. Preliminary results of an experimentation were conducted on a selected university course. All students needed a system to avoid time-wasting problem of watching long videos with no significant benefit. The statistics showed that the number of learners increased during the experiment. Future work will include studying impact of VCS system on students’ performance and satisfaction.

  11. Missed opportunities for diagnosis: lessons learned from diagnostic errors in primary care.

    Science.gov (United States)

    Goyder, Clare R; Jones, Caroline H D; Heneghan, Carl J; Thompson, Matthew J

    2015-12-01

    Because of the difficulties inherent in diagnosis in primary care, it is inevitable that diagnostic errors will occur. However, despite the important consequences associated with diagnostic errors and their estimated high prevalence, teaching and research on diagnostic error is a neglected area. To ascertain the key learning points from GPs' experiences of diagnostic errors and approaches to clinical decision making associated with these. Secondary analysis of 36 qualitative interviews with GPs in Oxfordshire, UK. Two datasets of semi-structured interviews were combined. Questions focused on GPs' experiences of diagnosis and diagnostic errors (or near misses) in routine primary care and out of hours. Interviews were audiorecorded, transcribed verbatim, and analysed thematically. Learning points include GPs' reliance on 'pattern recognition' and the failure of this strategy to identify atypical presentations; the importance of considering all potentially serious conditions using a 'restricted rule out' approach; and identifying and acting on a sense of unease. Strategies to help manage uncertainty in primary care were also discussed. Learning from previous examples of diagnostic errors is essential if these events are to be reduced in the future and this should be incorporated into GP training. At a practice level, learning points from experiences of diagnostic errors should be discussed more frequently; and more should be done to integrate these lessons nationally to understand and characterise diagnostic errors. © British Journal of General Practice 2015.

  12. Identifying Learning Behaviors by Contextualizing Differential Sequence Mining with Action Features and Performance Evolution

    Science.gov (United States)

    Kinnebrew, John S.; Biswas, Gautam

    2012-01-01

    Our learning-by-teaching environment, Betty's Brain, captures a wealth of data on students' learning interactions as they teach a virtual agent. This paper extends an exploratory data mining methodology for assessing and comparing students' learning behaviors from these interaction traces. The core algorithm employs sequence mining techniques to…

  13. Promoting learning transfer in preceptor preparation.

    Science.gov (United States)

    Finn, Frances L; Chesser-Smyth, Patricia

    2013-01-01

    An understanding of learning transfer principles is essential for professional development educators and managers to ensure that new skills and knowledge learned are applied to practice. This article presents a collaborative project involving the planning, design, and implementation of a preceptor training program for registered nurses. The theories and principles discussed in this article could be applied to a number of different settings and contexts in health care to promote learning transfer in professional development activities.

  14. Chemical composition and antimicrobial activity of the essential oils of Pinus pinaster

    Directory of Open Access Journals (Sweden)

    Nouara Ait Mimoune

    2013-08-01

    Full Text Available Objective: To investigate the antimicrobial activity and chemical composition of essential oils of Pinus pinaster. Methods: Essential oils were extracted from the needles by hydrodistillation. The chemical composition of the obtained essential oils was analyzed using GC-MS technique. The antimicrobial potential has been tested against six microorganisms performing the disc diffusion assay. Results: Twenty-three components have been identified. β-caryophyllene (30.9% and β-selinene (13.45% were predominant compounds. The essential oil exhibited a moderate activity against Staphylococcus aureus, Bacillus subtilis and Escherichia coli, but did not affect the growth of Erwinia amylovora. Aspergillus flavus and Aspergillus niger were not inhibited by maritime pine essential oils. Conclusions: The essential oils from Pinus pinaster can be used as an antibacterial agent.

  15. Fostering Sustained Learning among Undergraduate Students: Emerging Research and Opportunities

    Science.gov (United States)

    Chemosit, Caroline; Rugutt, John; Rugutt, Joseph K.

    2017-01-01

    Keeping students engaged and receptive to learning can, at times, be a challenge. However, by the implementation of new methods and pedagogies, instructors can strengthen the drive to learn among their students. "Fostering Sustained Learning Among Undergraduate Students: Emerging Research and Opportunities" is an essential publication…

  16. Analysis of the Essential Oil of Solidago canadensis.

    Science.gov (United States)

    Kalemba, D; Góra, J; Kurowska, A

    1990-04-01

    The analysis of the volatile compounds in the essential oil of SOLIDAGO CANADENSISL. sensu lato (Compositae) GC and GC-MS demonstrated the presence of at least 36 compounds, 18 of which were identified. The Major comonenets are gamma (2)- and delta-cadinenes.

  17. Role- and Relationship-Based Identity Management for Privacy-Enhanced E-Learning

    Science.gov (United States)

    Anwar, Mohd; Greer, Jim

    2012-01-01

    An e-learning discussion forum, an essential component of today's e-learning systems, offers a platform for social learning activities. However, as learners participate in the discussion forum, privacy emerges as a major concern. Privacy concerns in social learning activities originate from one learner's inability to convey a desired presentation…

  18. GP Supervisors' Experience in Supporting Self-Regulated Learning: A Balancing Act

    Science.gov (United States)

    Sagasser, Margaretha H.; Kramer, Anneke W. M.; van Weel, Chris; van der Vleuten, Cees P. M.

    2015-01-01

    Self-regulated learning is essential for professional development and lifelong learning. As self-regulated learning has many inaccuracies, the need to support self-regulated learning has been recommended. Supervisors can provide such support. In a prior study trainees reported on the variation in received supervisor support. This study aims at…

  19. Comparing insertion libraries in two Pseudomonas aeruginosa strains to assess gene essentiality.

    Science.gov (United States)

    Liberati, Nicole T; Urbach, Jonathan M; Thurber, Tara K; Wu, Gang; Ausubel, Frederick M

    2008-01-01

    Putative essential genes can be identified by comparing orthologs not disrupted in multiple near-saturated transposon insertion mutation libraries in related strains of the same bacterial species. Methods for identifying all orthologs between two bacterial strains and putative essential orthologs are described. In addition, protocols detailing near-saturation transposon insertion mutagenesis of bacteria are presented, including (1) conjugation-mediated mutagenesis, (2) automated colony picking and liquid handling of mutant cultures, and (3) arbitrary polymerase chain reaction amplification and sequencing of genomic DNA adjacent to transposon insertion sites.

  20. Dramatherapy and Family Therapy in Education: Essential Pieces of the Multi-Agency Jigsaw

    Science.gov (United States)

    McFarlane, Penny; Harvey, Jenny

    2012-01-01

    A collaborative therapeutic approach often proves the best way to assess and meet the needs of children experiencing barriers to learning. This book gives a concise overview of drama and family therapy and describes how both therapies can work together to provide essential pieces of the jigsaw of emotional support for troubled children within an…

  1. Do Ten-Year-Old Children in Sweden Know How They Learn? A Study of How Young Students Believe They Learn Compared to Their Learning Styles Preferences

    Science.gov (United States)

    Boström, Lena

    2012-01-01

    Students' individual learning strategies have been identified as important skills in order to succeed in school as well as important for lifelong learning. The Swedish steering documents are permeated by an epistemological and a methodological variation based on the individual student's learning. Learning how to learn has been identified by the EU…

  2. Essential professional duties for the sub-Saharan medical/dental graduate: An Association of Medical Schools of Africa initiative.

    Science.gov (United States)

    Olapade-Olaopa, E O; Sewankambo, N; Iputo, J E; Rugarabamu, P; Amlak, A H; Mipando, M; Monekosso G L

    2016-09-01

    BACKGROUND - Globally, human resources for health are being optimized to address the increasing health burden and concomitant increased demands on health professionals. These demands are even more exacting in Sub-SaharanAfrica considering the shortage of health care workers, especially physicians. The noteworthy efforts at deploying task-shifting to address this situation not-withstanding, the situation also signals the need to re-define the objectives of medical instruction to ensure effective and contemporary medical practice in a mostly physician-led health workforce across the sub-continent. In this regard, medical and dental graduates must be educated to perform certain minimum essential professional duties competently. Essential Professional Duties are locally relevant professional activities of international standard that represent identifiable outcomes against which the effectiveness of physicians in a specific community can be measured to ensure social accountability. PROCEDURE AND PRODUCT - The Association of Medical Schools of Africa has developed the 'Essential Professional Duties for sub-Saharan medical and dental graduates' to ensure these physicians provide safe and effective contemporary medical/dental practice on the sub-continent. The duties have been grouped into those required for basic patient care, basic administrative skills, basic emergency care, communication, inter-professional relationships, self-directed learning and social responsibilities. Their relevance and suitability have been evaluated prior to their adoption by the Association. CONCLUSION; These Essential Physician Duties have been developed to serve as targets for health professionals training instruments and thus give direction to health system strategies. It is hoped that they will be adopted by medical and dental schools across sub-,. Saharan Africa.

  3. What students learn in problem-based learning: a process analysis

    NARCIS (Netherlands)

    E.H.J. Yew (Elaine); H.G. Schmidt (Henk)

    2012-01-01

    textabstractThis study aimed to provide an account of how learning takes place in problem-based learning (PBL), and to identify the relationships between the learning-oriented activities of students with their learning outcomes. First, the verbal interactions and computer resources studied by nine

  4. Explaining Differences in Learning Outcomes in Auditing Education

    DEFF Research Database (Denmark)

    Holm, Claus; Steenholdt, Niels

    2014-01-01

    In this paper we use a learner perspective on learning outcomes which reflects that some students taking accounting classes are also provided with on-the-job training in accounting firms. Hence knowledge about learning outcomes for different groups of students is essential information for educators...

  5. Self-Regulated Learning: A Motivational Approach for Learning Mathematics

    Science.gov (United States)

    K., Abdul Gafoor; Kurukkan, Abidha

    2016-01-01

    Self-regulated learning is identified as a fruitful learning strategy as evidenced from the increase in the number of researches in academic self-regulation since year 2000. Knowing to manage one's own learning is helpful in attaining the goals. This analysis of literature on self-regulated learning focuses on the factors that affect…

  6. Learning Apache Mahout classification

    CERN Document Server

    Gupta, Ashish

    2015-01-01

    If you are a data scientist who has some experience with the Hadoop ecosystem and machine learning methods and want to try out classification on large datasets using Mahout, this book is ideal for you. Knowledge of Java is essential.

  7. Mutual goals as essential for the results of team coaching

    DEFF Research Database (Denmark)

    Pedersen, Louise Møller

    2015-01-01

    Background: Facilitated by an external coach, team coaching has been introduced as a method to increase team competency, effectiveness, and learning mainly at the middle manager level (named coachees). However, team coaching also has some pitfalls which will be explored in this chapter. Intervent......, organizational changes can interrupt the implementation of team coaching interventions. Clear communication and resolution of conflict s are essential for the process and results of team coaching and should be integrated into the theory of team coaching.......Background: Facilitated by an external coach, team coaching has been introduced as a method to increase team competency, effectiveness, and learning mainly at the middle manager level (named coachees). However, team coaching also has some pitfalls which will be explored in this chapter....... Intervention: A 13 month team coaching intervention focusing on team safety-related competences, effectiveness, and learning was conducted in three department teams (team X, Y and Z) in a medium-sized Danish company (Company A). However, at the end of the intervention results between the three teams varied...

  8. Contributions of Cognitive Psychology to the Future of E-Learning

    OpenAIRE

    Aibert, Dietrich; Mori, Toshiaki

    2002-01-01

    At the beginning of the 215t century strong efforts are made for facilitating e-learning (electronic-based learning and teaching). This development is driven mainly by economical and technological dynamics, however also the contributions of educational and learning sciences are requested by the decision maker. Beside methodological contributions, cognitive psychology is fundamental for individualising e-learning processes. Essential for individualisation is the adaptivity of the e-learning sy...

  9. Essential protein discovery based on a combination of modularity and conservatism.

    Science.gov (United States)

    Zhao, Bihai; Wang, Jianxin; Li, Xueyong; Wu, Fang-Xiang

    2016-11-01

    Essential proteins are indispensable for the survival of a living organism and play important roles in the emerging field of synthetic biology. Many computational methods have been proposed to identify essential proteins by using the topological features of interactome networks. However, most of these methods ignored intrinsic biological meaning of proteins. Researches show that essentiality is tied not only to the protein or gene itself, but also to the molecular modules to which that protein belongs. The results of this study reveal the modularity of essential proteins. On the other hand, essential proteins are more evolutionarily conserved than nonessential proteins and frequently bind each other. That is to say, conservatism is another important feature of essential proteins. Multiple networks are constructed by integrating protein-protein interaction (PPI) networks, time course gene expression data and protein domain information. Based on these networks, a new essential protein identification method is proposed based on a combination of modularity and conservatism of proteins. Experimental results show that the proposed method outperforms other essential protein identification methods in terms of a number essential protein out of top ranked candidates. Copyright © 2016. Published by Elsevier Inc.

  10. Biologically Important Eremophilane Sesquiterpenes from Alaska Cedar Heartwood Essential Oil and Their Semi-Synthetic Derivatives

    OpenAIRE

    Khasawneh, Mohammad A.; Xiong, Yeping; Peralta-Cruz, Javier; Karchesy, Joe J.

    2011-01-01

    The essential oil of Alaska cedar heartwood is known to contain compounds which contribute to the remarkable durability of this species. While previous research has identified several compounds, a complete description of this oil has not been undertaken. In this research a profile of the oil is given in which the major components are identified by GC, isolation and spectroscopic techniques. The major components of the steam distilled essential oil were identified as nootkatin, nootkatone, val...

  11. Combining Shigella Tn-seq data with gold-standard E. coli gene deletion data suggests rare transitions between essential and non-essential gene functionality.

    Science.gov (United States)

    Freed, Nikki E; Bumann, Dirk; Silander, Olin K

    2016-09-06

    Gene essentiality - whether or not a gene is necessary for cell growth - is a fundamental component of gene function. It is not well established how quickly gene essentiality can change, as few studies have compared empirical measures of essentiality between closely related organisms. Here we present the results of a Tn-seq experiment designed to detect essential protein coding genes in the bacterial pathogen Shigella flexneri 2a 2457T on a genome-wide scale. Superficial analysis of this data suggested that 481 protein-coding genes in this Shigella strain are critical for robust cellular growth on rich media. Comparison of this set of genes with a gold-standard data set of essential genes in the closely related Escherichia coli K12 BW25113 revealed that an excessive number of genes appeared essential in Shigella but non-essential in E. coli. Importantly, and in converse to this comparison, we found no genes that were essential in E. coli and non-essential in Shigella, implying that many genes were artefactually inferred as essential in Shigella. Controlling for such artefacts resulted in a much smaller set of discrepant genes. Among these, we identified three sets of functionally related genes, two of which have previously been implicated as critical for Shigella growth, but which are dispensable for E. coli growth. The data presented here highlight the small number of protein coding genes for which we have strong evidence that their essentiality status differs between the closely related bacterial taxa E. coli and Shigella. A set of genes involved in acetate utilization provides a canonical example. These results leave open the possibility of developing strain-specific antibiotic treatments targeting such differentially essential genes, but suggest that such opportunities may be rare in closely related bacteria.

  12. Evaluation of Learning and Competence in the Training of Nurses

    Directory of Open Access Journals (Sweden)

    Cícera Maria Braz da Silva

    2017-02-01

    Full Text Available Introduction: health education becomes a more complex process, since it aims to ensure the training of professionals with the knowledge, skills, attitudes and values necessary for their performance, requiring the adoption of strategies that allow the integral evaluation of these competences. Objective: analyze the scientific evidence about the evaluation of learning and competence in undergraduate nursing education.  Method: integrative literature review with online search in LILACS, MEDLINE, Web of Science, SCOPUS and CINAHL databases, using these descriptors: Competence Based Education, Nursing Education, Learning and Assessment.  Results: the 18 articles analyzed, based on a synthesis and critical analysis, allowed the identification of the following thematic categories: concept of competence; essential competences to the training of nurses; learning strategies; and evaluation. It was evidenced that, despite the polysemy around the term competence, the concept presented more similarities than differences. The nursing competencies identified are similar to those recommended by the National Curriculum Guidelines, emphasizing learning strategies in simulated settings and doubts about methods and the construction of evaluation tools.  Conclusions: the evaluation of learning and competence continues to be a challenge for nursing educators and it is recognized that there are difficulties in this process. In this sense, it seems necessary to develop reliable evaluation tools, based on criteria and indicators, that can verify the performance of the student in action and their earliest possible approximation to real learning scenarios. Keywords: Competency-Based Education. Education. Nursing. Learning. Evaluation.

  13. Quantity versus Quality in Project Based Learning Practices

    NARCIS (Netherlands)

    A. Keegan (Anne); J.R. Turner (Rodney)

    2000-01-01

    textabstractIn the midst of the turbulence wrought by the global economy, it has become common to see projects as an essential medium for achieving change. However, project based learning practices - as a subset of organizational learning practices- have not kept pace with this development. To

  14. Antimicrobial Activity of Individual and Combined Essential Oils against Foodborne Pathogenic Bacteria.

    Science.gov (United States)

    Reyes-Jurado, Fatima; López-Malo, Aurelio; Palou, Enrique

    2016-02-01

    The antimicrobial activities of essential oils from Mexican oregano (Lippia berlandieri Schauer), mustard (Brassica nigra), and thyme (Thymus vulgaris) were evaluated alone and in binary combinations against Listeria monocytogenes, Staphylococcus aureus, or Salmonella Enteritidis. Chemical compositions of the essential oils were analyzed by gas chromatography-mass spectrometry. The MICs of the evaluated essential oils ranged from 0.05 to 0.50% (vol/vol). Mustard essential oil was the most effective, likely due to the presence of allyl isothiocyanate, identified as its major component. Furthermore, mustard essential oil exhibited synergistic effects when combined with either Mexican oregano or thyme essential oils (fractional inhibitory concentration indices of 0.75); an additive effect was obtained by combining thyme and Mexican oregano essential oils (fractional inhibitory concentration index = 1.00). These results suggest the potential of studied essential oil mixtures to inhibit microbial growth and preserve foods; however, their effect on sensory quality in selected foods compatible with their flavor needs to be assessed.

  15. Active Affordance Learning in Continuous State and Action Spaces

    NARCIS (Netherlands)

    Wang, C.; Hindriks, K.V.; Babuska, R.

    2014-01-01

    Learning object affordances and manipulation skills is essential for developing cognitive service robots. We propose an active affordance learning approach in continuous state and action spaces without manual discretization of states or exploratory motor primitives. During exploration in the action

  16. Identifying and building consensus about the essential competencies for R and D managers - case study at IPEN

    International Nuclear Information System (INIS)

    Gimenes, Celso Huerta

    2009-01-01

    The capacity of innovation and the technological development, in an R and D institute depend, among other things, on a management body with special competencies. The present work developed and applied a methodology to elicit, filter and prioritize the set of managerial competencies considered essential. The method was applied and tested in the Institute of Energetic and Nuclear Research - IPEN, which besides R and D, it is also dedicated to education and production. The methodology includes the following elements: (a) search, compilation and consolidation of competencies description, which are considered essential in similar institutions; (b) statements fitting and grouping according to seven BNQA's criteria; (c) filtering and reduction of the population survey list, concentrating on the parts which are of interest to the IPEN; (d) prioritization in two Delphi rounds, with the same population; (e) analysis and format of the resulting products, using single and multi-varied descriptive statistical techniques. The work was well-succeeded and, taking into account the high rate of reply to the Delphi survey, the obtained findings may be considered reliable. (author)

  17. Using machine learning to identify structural breaks in single-group interrupted time series designs.

    Science.gov (United States)

    Linden, Ariel; Yarnold, Paul R

    2016-12-01

    Single-group interrupted time series analysis (ITSA) is a popular evaluation methodology in which a single unit of observation is being studied, the outcome variable is serially ordered as a time series and the intervention is expected to 'interrupt' the level and/or trend of the time series, subsequent to its introduction. Given that the internal validity of the design rests on the premise that the interruption in the time series is associated with the introduction of the treatment, treatment effects may seem less plausible if a parallel trend already exists in the time series prior to the actual intervention. Thus, sensitivity analyses should focus on detecting structural breaks in the time series before the intervention. In this paper, we introduce a machine-learning algorithm called optimal discriminant analysis (ODA) as an approach to determine if structural breaks can be identified in years prior to the initiation of the intervention, using data from California's 1988 voter-initiated Proposition 99 to reduce smoking rates. The ODA analysis indicates that numerous structural breaks occurred prior to the actual initiation of Proposition 99 in 1989, including perfect structural breaks in 1983 and 1985, thereby casting doubt on the validity of treatment effects estimated for the actual intervention when using a single-group ITSA design. Given the widespread use of ITSA for evaluating observational data and the increasing use of machine-learning techniques in traditional research, we recommend that structural break sensitivity analysis is routinely incorporated in all research using the single-group ITSA design. © 2016 John Wiley & Sons, Ltd.

  18. Developing academic literacy through self-regulated online learning

    Directory of Open Access Journals (Sweden)

    Emmaline Lear

    2016-03-01

    Full Text Available This study explores the self-regulated learning (SRL experiences of international students in developing English language academic literacy essential for successful transition to university. The participants in this study were a small, diverse group of first year undergraduate students who sought academic support from the Academic Skills Centre at an Australian university. They were given the opportunity to independently access an online program, Study Skills Success, over the duration of one semester to develop their academic literacy in English. Data for this study were collected from a pre- and post-program questionnaire, interviews, a focus group discussion, and reflective online learning logs. These sources gathered information regarding the participants’ motivation and attitudes, their online learning experiences and strategy use, and the perceived benefits of SRL online. The findings from this study have implications for supporting the transition of first year students to university by developing essential academic skills through independent online learning.

  19. An Achievement Degree Analysis Approach to Identifying Learning Problems in Object-Oriented Programming

    Science.gov (United States)

    Allinjawi, Arwa A.; Al-Nuaim, Hana A.; Krause, Paul

    2014-01-01

    Students often face difficulties while learning object-oriented programming (OOP) concepts. Many papers have presented various assessment methods for diagnosing learning problems to improve the teaching of programming in computer science (CS) higher education. The research presented in this article illustrates that although max-min composition is…

  20. Biological Activities and Composition of Ferulago carduchorum Essential Oil

    Directory of Open Access Journals (Sweden)

    Fereshteh Golfakhrabadi

    2015-10-01

    Full Text Available Background: Ferulago carduchorum Boiss and Hausskn belongs to the Apiaceae family. This plant grows in west part of Iran that local people added it to dairy and oil ghee to delay expiration date and give them a pleasant taste. The aim of this study was to investigate the antioxidant, antimicrobial, acetyl cholinesterase inhibition, cytotoxic, larvicidal activities and composition of essential oil of F. carduchorum.Methods: Acetyl cholinesterase (AChE inhibitory, larvicidal activities and chemical composition of essential oil of F. carduchorum were investigated. Besides, antioxidant, antimicrobial and cytotoxic activities of essential oil were tested using DPPH, microdilution method and MTT assay, respectively.Results: The major components of essential oil were (z-β-ocimene (43.3%, α-pinene (18.23% and bornyl acetate (3.98%. Among 43 identified components, monoterpenes were the most compounds (84.63%. The essential oil had noticeable efficiency against Candida albicans (MIC= 2340 μg ml-1 and it was effective against Anophelesstephensi with LC50 and LC90 values of 12.78 and 47.43 ppm, respectively. The essential oil could inhibit AChE (IC50= 23.6 μl ml-1. The essential oil showed high cytotoxicity on T47D, HEP-G2 and HT-29 cell lines (IC50< 2 μg ml-1.Conclusion: The essential oil of F. carduchorum collected from west of Iran had anti-Candida, larvicidal and cytotoxicity effects and should be further investigated in others in vitro and in vivo experimental models.

  1. Repurposeable Learning Objects Linked to Teaching and Learning Styles

    Directory of Open Access Journals (Sweden)

    Jeremy Dunning

    2004-02-01

    Full Text Available Multimedia learning objects are an essential component of high quality, technology-mediated instruction. Learning objects allow the student to use the content learned in a particular part of a course and; 1. demonstrate mastery of the content, 2. apply that knowledge to solving a problem, and 3. use the content in a critical thinking exercise that both demonstrates mastery and allows the student to place the content within the context of the larger topic of the course. The difficulty associated with the use of learning objects on a broad scale is that they require programming skills most professors and instructors do not possess. Learning objects also tend to be custom productions and are defined in terms of the programming and code terminology, further limiting the professor's ability to understand how they are created. Learning objects defined in terms of styles of learning and teaching allow professors and instructors to develop a deeper understanding of the learning objects and the design process. A set of learning objects has been created that are designed for some of the important styles of learning and teaching. They include; visual learning, writing skills, critical thinking, time-revealed scenarios, case studies and empirical observation. The learning objects are designed and described in terms that the average instructor can readily understand , redesign and incorporate into their own courses. They are also designed in such a way that they can readily be repurposed for new applications in other courses and subject areas, with little or no additional programming.

  2. Chemical compositions and antioxidant activity of Heracleum persicum essential oil

    Directory of Open Access Journals (Sweden)

    Maryam Gharachorloo

    2018-02-01

    Full Text Available ABSTRACT In this study essential oil of the aerial parts of Heracleum persicum a spice widely used in Iran was isolated by conventional hydrodistillation (HD and microwave-assisted hydrodistillation (MAHD techniques. The extraction yield was determined and the chemical compositions of essential oils were identified by the application of gas chromatography/mass spectrometry (GC/MS. The antioxidant activity was determined by two different methods: 1,1-diphenyl-2-picrylhydrazyl (DPPH free radical scavenging and oven test methods. Although the main compounds of essential oils by the both extraction methods were similar, the essential oil extracted by HD with lower extraction efficiency showed more diverse compounds. The evaluation of antioxidant activity of the essential oil measured by delay in sunflower oil oxidation indicated that the antioxidant activity was dependent on the concentration which increased when higher concentrations of the essential oils were applied. The results of DPPH radical assay also indicated that the percentage of inhibition increased with increasing of essential oil concentration and IC50 value for essential oil extracted by MAHD method was obtained 1.25 mg/mL. Therefore the Heracleum persicum essential oil might be recommended for use as a flavoring agent and a source of natural antioxidants in functional foods, formulation of the supplements and in medicinal due to numerous pharmacological activities.

  3. Essentials of Mathematica With Applications to Mathematics and Physics

    CERN Document Server

    Boccara, Nino

    2007-01-01

    Essentials of Mathematica: With Applications to Mathematics and Physics, based on the lecture notes of a course taught at the University of Illinois at Chicago to advanced undergraduate and graduate students, teaches how to use Mathematica to solve a wide variety problems in mathematics and physics. The text assumes no previous exposure to Mathematica. It is illustrated with many detailed examples that require the student to construct meticulous, step-by-step, easy-to-read Mathematica programs. It includes many detailed graphics, with instructions to students on how to achieve similar results. The aim of Essentials of Mathematica is to provide the reader with Mathematica proficiency quickly and efficiently. The first part, in which the reader learns how to use a variety of Mathematica commands, avoids long discussions and overly sophisticated techniques. The second part covers a broad range of applications in physics and applied mathematics, including negative and complex bases, the double pendulum, fractals,...

  4. The Personal Digital Library (PDL)-based e-learning: Using the PDL as an e-learning support tool

    Science.gov (United States)

    Deng, Xiaozhao; Ruan, Jianhai

    The paper describes a support tool for learners engaged in e-learning, the Personal Digital Library (PDL). The characteristics and functionality of the PDL are presented. Suggested steps for constructing and managing a PDL are outlined and discussed briefly. The authors believe that the PDL as a support tool of e-learning will be important and essential in the future.

  5. The development and evaluation of a holistic needs assessment and care planning learning package targeted at cancer nurses in the UK.

    Science.gov (United States)

    Henry, R; Hartley, B; Simpson, M; Doyle, N

    2014-01-01

    A project team from the United Kingdom Oncology Nursing Society developed a blended e-learning website to facilitate nurses to further develop their confidence and competencies in a range of skills related to assessing the holistic needs of people with cancer. The project team identified three areas which were integral to an holistic needs assessment (HNA) implementation project. These were project support information, project management skills, and practical competencies delivered in a blended e-learning package containing a series of accessible video presentations, supporting documents, and practical activities. The team worked with internal and external partners to ensure that a robust and inspiring programme was created. www.hnaforcancer.com was launched in October 2012 as a blended learning programme that incorporates e-learning on core subjects. These subjects are packaged as videoed presentations with supporting learning material and can be accessed via the UKONS website. By the end of the programme participants were equipped to identify and explore the essential requirements for HNA and care planning, more able to recognise potential need, and initiate care to prevent or minimise the risk of complications. Participants had also developed confidence and competency in new skills, including basic project management.

  6. Essential competencies analysis of a training model development for non-formal vocational teachers under the office of the non-formal and informal education in Thailand

    Directory of Open Access Journals (Sweden)

    Chayanopparat Piyanan

    2016-01-01

    Full Text Available Non-formal vocational education provides practical experiences in a particular occupational field to non-formal semi-skilled learners. Non-formal vocational teachers are the key persons to deliver particular occupational knowledge. The essential competencies enhancement for non-sformal vocational teachers will improve teaching performance. The question of the research is what the essential competencies for the nonformal vocational teachers are. The research method was 1 to review related literature, 2 to collect a needs assessment, and 3 to analyse the essential competencies for non-formal vocational teachers. The population includes non-formal vocational teachers at the executive level and nonformal vocational teachers. The results from the essential competencies analysis found that the essential competencies for non-formal vocational teachers consist of 5 capabilities including 1 Adult learning design capability, 2 Adult learning principle application capability, 3 ICT searching capability for teaching preparation, 4 Instructional plan development capability and 5 Instructional media development capability.

  7. Self- directed learning barriers in a virtual environment: a qualitative study

    Directory of Open Access Journals (Sweden)

    NOUSHIN KOHAN

    2017-07-01

    Full Text Available Introduction: There is a growing trend in online education courses in higher education institutes. Previous studies have shown that high levels of self-direction are essential for successful online learning. The present study aims to investigate challenges of and barriers to self-directed virtual-learning among postgraduate students of medical sciences. Methods: 23 postgraduate virtual students of medical sciences in Iran, collected through maximum variation purposive sampling and semi-structured interviews, served as the sample of this study. The collected data were analyzed using the inductive content analysis method. Results: Three themes and six sub-themes were identified as barriers to self-directed learning in virtual education, including cognitive barriers (information overload and lack of focus on learning or mind wondering, communication barriers (inadequate coping skills and inadequate writing skills and educational environment barriers (heavy workload and role ambiguity. Conclusion: By the importance of self-direction in online education, the present study results can be used by virtual education planners in the review and design of courses, so as to adequately equip students, obviate barriers to self-directed virtual education, and ultimately train highly self-directed learners in online medical education.

  8. Self- directed learning barriers in a virtual environment: a qualitative study.

    Science.gov (United States)

    Kohan, Noushin; Soltani Arabshahi, Kamran; Mojtahedzadeh, Rita; Abbaszadeh, Abbas; Rakhshani, Tayebeh; Emami, Amirhousein

    2017-07-01

    There is a growing trend in online education courses in higher education institutes. Previous studies have shown that high levels of self-direction are essential for successful online learning. The present study aims to investigate challenges of and barriers to self-directed virtual-learning among postgraduate students of medical sciences. 23 postgraduate virtual students of medical sciences in Iran, collected through maximum variation purposive sampling and semi-structured interviews, served as the sample of this study. The collected data were analyzed using the inductive content analysis method. Three themes and six sub-themes were identified as barriers to self-directed learning in virtual education, including cognitive barriers (information overload and lack of focus on learning or mind wondering), communication barriers (inadequate coping skills and inadequate writing skills) and educational environment barriers (heavy workload and role ambiguity). By the importance of self-direction in online education, the present study results can be used by virtual education planners in the review and design of courses, so as to adequately equip students, obviate barriers to self-directed virtual education, and ultimately train highly self-directed learners in online medical education.

  9. Self- directed learning barriers in a virtual environment: a qualitative study

    Science.gov (United States)

    KOHAN, NOUSHIN; SOLTANI ARABSHAHI, KAMRAN; MOJTAHEDZADEH, RITA; ABBASZADEH, ABBAS; RAKHSHANI, TAYEBEH; EMAMI, AMIRHOUSEIN

    2017-01-01

    Introduction: There is a growing trend in online education courses in higher education institutes. Previous studies have shown that high levels of self-direction are essential for successful online learning. The present study aims to investigate challenges of and barriers to self-directed virtual-learning among postgraduate students of medical sciences. Method: 23 postgraduate virtual students of medical sciences in Iran, collected through maximum variation purposive sampling and semi-structured interviews, served as the sample of this study. The collected data were analyzed using the inductive content analysis method. Results: Three themes and six sub-themes were identified as barriers to self-directed learning in virtual education, including cognitive barriers (information overload and lack of focus on learning or mind wondering), communication barriers (inadequate coping skills and inadequate writing skills) and educational environment barriers (heavy workload and role ambiguity). Conclusion: By the importance of self-direction in online education, the present study results can be used by virtual education planners in the review and design of courses, so as to adequately equip students, obviate barriers to self-directed virtual education, and ultimately train highly self-directed learners in online medical education. PMID:28761885

  10. Seamless Language Learning: Second Language Learning with Social Media

    OpenAIRE

    Wong, Lung-Hsiang; Sing-Chai, Ching; Poh-Aw, Guat

    2017-01-01

    This conceptual paper describes a language learning model that applies social media to foster contextualized and connected language learning in communities. The model emphasizes weaving together different forms of language learning activities that take place in different learning contexts to achieve seamless language learning. It promotes social interactions with social media about the learners’ day-to-day life using the targeted second or foreign language. The paper first identifies three ke...

  11. Chemical Composition and Antimicrobial Activities of Essential Oils of Some Coniferous Plants Cultivated in Egypt.

    Science.gov (United States)

    Ibrahim, Taghreed A; El-Hela, Atef A; El-Hefnawy, Hala M; Al-Taweel, Areej M; Perveen, Shagufta

    2017-01-01

    Family Cupressaceae is the largest coniferous plant family. Essential oils of many species belonging to family Cupressaceae are known to have several biological activities specially antimicrobial activity. The essential oils from aerial parts of Calocedrus decurrens Torr., Cupressus sempervirens stricta L. and Tetraclinis articulata (Vahl) Mast. were prepared by hydrodistillation. The chemical composition of the essential oils has been elucidated by gas chromatography-mass spectroscopy analysis. The prepared essential oils were examined against selected species of Gram-positive, Gram-negative bacteria and Candida species. Broth dilution methods were used to detect minimum inhibitory concentration (MIC), minimum bactericidal concentration (MBC) and minimum fungicidal concentration (MFC). Sixteen compounds were identified in the essential oils of both Calocedrus decurrens and Cupressus sempervirens L. and fifteen compounds were identified in the essential oil of Tetraclinis articulata . δ-3-Carene (43.10%), (+)-Cedrol (74.03%) and Camphor (21.23%) were the major constituents in the essential oils of Calocedrus decurrens , Cupressus sempervirens L. and Tetraclinis articulata , respectively. The essential oils showed strong antimicrobial activities against the selected microorganisms in concentration range 0.02 3- 3.03 µL/mL. This study could contribute to the chemotaxonomic characterization of family Cupressaceae. In addition, it proved that the essential oils under investigation possess potential antimicrobial properties.

  12. Chemical composition and antioxidant activity of phenolic compounds and essential oils from Calamintha nepeta L.

    Science.gov (United States)

    Khodja, Nabyla Khaled; Boulekbache, Lila; Chegdani, Fatima; Dahmani, Karima; Bennis, Faiza; Madani, Khodir

    2018-05-24

    Background Essential oils, infusion and decoction extracts of Calamintha nepeta L. were evaluated for their bioactive substances (polyphenols and essential oils) and antioxidant activities. Methods The amounts of phenolic compounds were determined by colorimetric assays and identified by high performance and liquid chromatography coupled with ultraviolet detector (HPLC-UV) method. The chemical composition of essential oils was determined by gas-chromatography coupled with mass spectrometry (GC/MS) method. For the evaluation of the antioxidant activity of essential oils and extracts, two different assays (reducing power and DPPH radical scavenging activity) were used. Results Infusion extract presented the highest phenolic content, followed by the decoction one, while the lowest amount was observed in essential oils. The amount of flavonoids of the decocted extract was higher than that of the infused one. The phenolic profile of C. nepeta infusion and decoction extracts revealed the presence of 28 and 13 peaks, respectively. Four phenolics compounds were identified in infusion (gallic acid (GA), rosmarinic acid (RA), caffeine (C) and caffeic acid (CA)) and two were identified in decoction (GA and RA). The chemical composition of essential oils revealed the presence of 29 compounds, accounting for the 99.7% of the total oils. Major compounds of essential oil (EO) were trans-menthone (50.06%) and pulegone (33.46%). Infusion and decoction extracts revealed an interesting antioxidant activity which correlates positively with their total phenolic contents. Conclusions These results showed that Calamintha nepeta could be considered as a valuable source of phenolics and essential oils with potent antioxidant activity.

  13. Essential hypertension vs. secondary hypertension among children.

    Science.gov (United States)

    Gupta-Malhotra, Monesha; Banker, Ashish; Shete, Sanjay; Hashmi, Syed Sharukh; Tyson, John E; Barratt, Michelle S; Hecht, Jacqueline T; Milewicz, Diane M; Boerwinkle, Eric

    2015-01-01

    The aim was to determine the proportions and correlates of essential hypertension among children in a tertiary pediatric hypertension clinic. We evaluated 423 consecutive children and collected demographic and clinical history by retrospective chart review. We identified 275 (65%) hypertensive children (blood pressure >95th percentile per the "Fourth Report on the Diagnosis, Evaluation, and Treatment of High Blood Pressure in Children and Adolescents") from 423 children referred to the clinic for history of elevated blood pressure. The remainder of the patients had normotension (11%), white coat hypertension (11%), prehypertension (10%), and pending diagnosis (3%). Among the 275 hypertensive children, 43% (n = 119; boys = 56%; median age = 12 years; range = 3-17 years) had essential hypertension and 57% (n = 156; boys = 66%; median age = 9 years; range = 0.08-19 years) had secondary hypertension. When compared with those with secondary hypertension, those with essential hypertension had a significantly older age at diagnosis (P = 0.0002), stronger family history of hypertension (94% vs. 68%; P secondary hypertension. The phenotype of essential hypertension can present as early as 3 years of age and is the predominant form of hypertension in children after age of 6 years. Among children with hypertension, those with essential hypertension present at an older age, have a stronger family history of hypertension, and have lower prevalence of preterm birth. © American Journal of Hypertension, Ltd 2014. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  14. A machine learning approach to identify clinical trials involving nanodrugs and nanodevices from ClinicalTrials.gov.

    Directory of Open Access Journals (Sweden)

    Diana de la Iglesia

    Full Text Available Clinical Trials (CTs are essential for bridging the gap between experimental research on new drugs and their clinical application. Just like CTs for traditional drugs and biologics have helped accelerate the translation of biomedical findings into medical practice, CTs for nanodrugs and nanodevices could advance novel nanomaterials as agents for diagnosis and therapy. Although there is publicly available information about nanomedicine-related CTs, the online archiving of this information is carried out without adhering to criteria that discriminate between studies involving nanomaterials or nanotechnology-based processes (nano, and CTs that do not involve nanotechnology (non-nano. Finding out whether nanodrugs and nanodevices were involved in a study from CT summaries alone is a challenging task. At the time of writing, CTs archived in the well-known online registry ClinicalTrials.gov are not easily told apart as to whether they are nano or non-nano CTs-even when performed by domain experts, due to the lack of both a common definition for nanotechnology and of standards for reporting nanomedical experiments and results.We propose a supervised learning approach for classifying CT summaries from ClinicalTrials.gov according to whether they fall into the nano or the non-nano categories. Our method involves several stages: i extraction and manual annotation of CTs as nano vs. non-nano, ii pre-processing and automatic classification, and iii performance evaluation using several state-of-the-art classifiers under different transformations of the original dataset.The performance of the best automated classifier closely matches that of experts (AUC over 0.95, suggesting that it is feasible to automatically detect the presence of nanotechnology products in CT summaries with a high degree of accuracy. This can significantly speed up the process of finding whether reports on ClinicalTrials.gov might be relevant to a particular nanoparticle or nanodevice

  15. A machine learning approach to identify clinical trials involving nanodrugs and nanodevices from ClinicalTrials.gov.

    Science.gov (United States)

    de la Iglesia, Diana; García-Remesal, Miguel; Anguita, Alberto; Muñoz-Mármol, Miguel; Kulikowski, Casimir; Maojo, Víctor

    2014-01-01

    Clinical Trials (CTs) are essential for bridging the gap between experimental research on new drugs and their clinical application. Just like CTs for traditional drugs and biologics have helped accelerate the translation of biomedical findings into medical practice, CTs for nanodrugs and nanodevices could advance novel nanomaterials as agents for diagnosis and therapy. Although there is publicly available information about nanomedicine-related CTs, the online archiving of this information is carried out without adhering to criteria that discriminate between studies involving nanomaterials or nanotechnology-based processes (nano), and CTs that do not involve nanotechnology (non-nano). Finding out whether nanodrugs and nanodevices were involved in a study from CT summaries alone is a challenging task. At the time of writing, CTs archived in the well-known online registry ClinicalTrials.gov are not easily told apart as to whether they are nano or non-nano CTs-even when performed by domain experts, due to the lack of both a common definition for nanotechnology and of standards for reporting nanomedical experiments and results. We propose a supervised learning approach for classifying CT summaries from ClinicalTrials.gov according to whether they fall into the nano or the non-nano categories. Our method involves several stages: i) extraction and manual annotation of CTs as nano vs. non-nano, ii) pre-processing and automatic classification, and iii) performance evaluation using several state-of-the-art classifiers under different transformations of the original dataset. The performance of the best automated classifier closely matches that of experts (AUC over 0.95), suggesting that it is feasible to automatically detect the presence of nanotechnology products in CT summaries with a high degree of accuracy. This can significantly speed up the process of finding whether reports on ClinicalTrials.gov might be relevant to a particular nanoparticle or nanodevice, which is

  16. Games are motivating, aren´t they? Disputing the arguments for digital game-based learning

    Directory of Open Access Journals (Sweden)

    Wim Westera

    2015-06-01

    Full Text Available The growing popularity of game-based learning reflects the burning desire for exploiting the involving and motivating characteristics of games for serious purposes. A wide range of arguments for using games for teaching and learning can be encountered in scientific papers, policy reports, game reviews and advertisements. With contagious enthusiasm, the proponents of game-based learning make their claims for using games to improve education. However, standing up for a good cause is easily replaced with the unconcerned promotion and spread of the word, which tends to make gaming an article of faith. This paper critically examines and re-establishes the argumentation used for game-based learning and identifies misconceptions that confuse the discussions. It reviews the following claims about game-based learning: 1 games foster motivation, 2 play is a natural mode of learning, 3 games induce cognitive flow, which is productive for learning, 4 games support learning-by-doing, 5 games allow for performance monitoring, 6 games offer freedom of movement and the associated problem ownership, 7 games support social learning, 8 games allow for safe experimentation, 9 games accommodate new generations of learners, who have grown up immersed in digital media, and 10 there are many successful games for learning. Assessing the validity of argumentation is considered essential for the credibility of game-based learning as a discipline.

  17. Citation Indexing and Threshold Concepts: An Essential Ah-Ha in Student Learning

    Science.gov (United States)

    McLaughlin, Jeremy L.; Tucker, Virginia M.

    2017-01-01

    Understanding information organization is a key component to navigating digital library environments as an information professional. While traditionally thought of within the areas of assessment and evaluation, citation indexing is another form of organization and navigation, and learning about it can transform one's knowledge of the information…

  18. Chemical Composition and Antimicrobial Activity of Essential Oil of Lepechiniaradula Benth Epling

    Directory of Open Access Journals (Sweden)

    Vladimir Morocho

    2017-01-01

    Full Text Available The essential oil (EO was obtained by hydrodistillation from the aerial parts of Lepechiniaradula Benth Epling (Lamiaceae from Ecuador. Thirty-four compounds accounting to 93.4% of the total oil were identified. The main constituents of the essential oil were δ-3-carene (19.9%, β-pinene (17.0%, (E-β-caryophyllene (9.7% and (E-E-α-farnesene (9.4%. The essential oil of L.radula possessed strong antifungal activity against Trichophytonrubrum (ATCC® 28188 and Trichophytonmentagrophytes (ATCC® 28185.

  19. Identifying Tracks Duplicates via Neural Network

    CERN Document Server

    Sunjerga, Antonio; CERN. Geneva. EP Department

    2017-01-01

    The goal of the project is to study feasibility of state of the art machine learning techniques in track reconstruction. Machine learning techniques provide promising ways to speed up the pattern recognition of tracks by adding more intelligence in the algorithms. Implementation of neural network to process of track duplicates identifying will be discussed. Different approaches are shown and results are compared to method that is currently in use.

  20. Aligning physical learning spaces with the curriculum: AMEE Guide No. 107.

    Science.gov (United States)

    Nordquist, Jonas; Sundberg, Kristina; Laing, Andrew

    2016-08-01

    This Guide explores emerging issues on the alignment of learning spaces with the changing curriculum in medical education. As technology and new teaching methods have altered the nature of learning in medical education, it is necessary to re-think how physical learning spaces are aligned with the curriculum. The better alignment of learning spaces with the curriculum depends on more directly engaged leadership from faculty and the community of medical education for briefing the requirements for the design of all kinds of learning spaces. However, there is a lack of precedent and well-established processes as to how new kinds of learning spaces should be programmed. Such programmes are essential aspects of optimizing the intended experience of the curriculum. Faculty and the learning community need better tools and instruments to support their leadership role in briefing and programming. A Guide to critical concepts for exploring the alignment of curriculum and learning spaces is provided. The idea of a networked learning landscape is introduced as a way of assessing and evaluating the alignment of physical spaces to the emerging curriculum. The concept is used to explore how technology has widened the range of spaces and places in which learning happens as well as enabling new styles of learning. The networked learning landscaped is explored through four different scales within which learning is accommodated: the classroom, the building, the campus, and the city. High-level guidance on the process of briefing for the networked learning landscape is provided, to take into account the wider scale of learning spaces and the impact of technology. Key to a successful measurement process is argued to be the involvement of relevant academic stakeholders who can identify the strategic direction and purpose for the design of the learning environments in relation to the emerging demands of the curriculum.

  1. Modeling Learner Situation Awareness in Collaborative Mobile Web 2.0 Learning

    Science.gov (United States)

    Norman, Helmi; Nordin, Norazah; Din, Rosseni; Ally, Mohamed

    2016-01-01

    The concept of situation awareness is essential in enhancing collaborative learning. Learners require information from different awareness aspects to deduce a learning situation for decision-making. Designing learning environments that assist learners to understand situation awareness via monitoring actions and reaction of other learners has been…

  2. Using Education Diplomacy to Help 15 Learning Champions Rethink Educational Assessment

    Science.gov (United States)

    Anderson, Kate

    2018-01-01

    Learning assessment is essential for education systems to provide quality and equitable education. Education partners, both national and international, are supporting education systems around the world in their efforts to develop and implement holistic learning assessment strategies and mechanisms. In many cases, examining how learning is being…

  3. Can Pre-Service Physical Education Majors Identify Learning Standards during Authentic Teaching Episodes?

    Science.gov (United States)

    Kniffin, Mike; Foley, John; MacDonald, Lynn Couturier; Howarth, Kath

    2014-01-01

    Only a handful of research studies have been conducted to determine whether or not physical educators or pre-service physical education teachers are utilizing learning standards in their teaching. While pre-service teachers are typically required to align lesson objectives and content, their extent of their understanding of how learning standards…

  4. Service-Learning Might Be the Key: Learning from the Challenges and Implementation Strategies in EFL Teacher Education in Oman

    Science.gov (United States)

    Al Barwani, Thuwayba; Al-Mekhlafi, Abdo; Nagaratnam, Ramani Perur

    2013-01-01

    Service-learning, a major reform in higher education, is considered essential for developing citizenship for the 21st century. This paper reports a study aimed at investigating the problems and challenges faced when implementing service-learning in pre-service education of teachers of English as a Foreign Language (EFL) and carried out in the…

  5. Blended Learning or E-learning?

    OpenAIRE

    Tayebinik, Maryam; Puteh, Marlia

    2013-01-01

    ICT or Information and Communication Technology has pervaded the fields of education.In recent years the term e-learning has emerged as a result of the integration of ICT in the education fields. Following the application this technology into teaching, some pitfalls have been identified and this have led to the Blended learning phenomenon.However the preference on this new method has been debated quite extensively.The aim of this paper is to investigate the advantages of blended learning over...

  6. Essential Criteria to Characterize Constructivist Teaching: Derived from a Review of the Literature and Applied to Five Constructivist-Teaching Method Articles

    Science.gov (United States)

    Baviskar, Sandhya N.; Hartle, R. Todd; Whitney, Tiffany

    2009-01-01

    Constructivism is an important theory of learning that is used to guide the development of new teaching methods, particularly in science education. However, because it is a theory of learning and not of teaching, constructivism is often either misused or misunderstood. Here we describe the four essential features of constructivism: eliciting prior…

  7. The Delphi Technique in Identifying Learning Objectives for the Development of Science, Technology and Society Modules for Palestinian Ninth Grade Science Curriculum

    Science.gov (United States)

    Abualrob, Marwan M. A.; Daniel, Esther Gnanamalar Sarojini

    2013-01-01

    This article outlines how learning objectives based upon science, technology and society (STS) elements for Palestinian ninth grade science textbooks were identified, which was part of a bigger study to establish an STS foundation in the ninth grade science curriculum in Palestine. First, an initial list of STS elements was determined. Second,…

  8. Mining Learning Social Networks for Cooperative Learning with Appropriate Learning Partners in a Problem-Based Learning Environment

    Science.gov (United States)

    Chen, Chih-Ming; Chang, Chia-Cheng

    2014-01-01

    Many studies have identified web-based cooperative learning as an increasingly popular educational paradigm with potential to increase learner satisfaction and interactions. However, peer-to-peer interaction often suffers barriers owing to a failure to explore useful social interaction information in web-based cooperative learning environments.…

  9. Systems Analysis of Lactose Metabolism in Trichoderma reesei Identifies a Lactose Permease That Is Essential for Cellulase Induction

    Science.gov (United States)

    Ivanova, Christa; Bååth, Jenny A.; Seiboth, Bernhard; Kubicek, Christian P.

    2013-01-01

    Trichoderma reesei colonizes predecayed wood in nature and metabolizes cellulose and hemicellulose from the plant biomass. The respective enzymes are industrially produced for application in the biofuel and biorefinery industry. However, these enzymes are also induced in the presence of lactose (1,4-0-ß-d-galactopyranosyl-d-glucose), a waste product from cheese manufacture or whey processing industries. In fact, lactose is the only soluble carbon source that induces these enzymes in T. reesei on an industrial level but the reason for this unique phenomenon is not understood. To answer this question, we used systems analysis of the T. reesei transcriptome during utilization of lactose. We found that the respective CAZome encoded all glycosyl hydrolases necessary for cellulose degradation and particularly for the attack of monocotyledon xyloglucan, from which ß-galactosides could be released that may act as the inducers of T. reesei’s cellulases and hemicellulases. In addition, lactose also induces a high number of putative transporters of the major facilitator superfamily. Deletion of fourteen of them identified one gene that is essential for lactose utilization and lactose uptake, and for cellulase induction by lactose (but not sophorose) in pregrown mycelia of T. reesei. These data shed new light on the mechanism by which T. reesei metabolizes lactose and offers strategies for its improvement. They also illuminate the key role of ß-D-galactosides in habitat specificity of this fungus. PMID:23690947

  10. Astronomy essentials

    CERN Document Server

    Brass, Charles O

    2012-01-01

    REA's Essentials provide quick and easy access to critical information in a variety of different fields, ranging from the most basic to the most advanced. As its name implies, these concise, comprehensive study guides summarize the essentials of the field covered. Essentials are helpful when preparing for exams, doing homework and will remain a lasting reference source for students, teachers, and professionals. Astronomy includes the historical perspective of astronomy, sky basics and the celestial coordinate systems, a model and the origin of the solar system, the sun, the planets, Kepler'

  11. ONLINE EDUCATION, ACTIVE LEARNING, AND ANDRAGOGY: An approach for Student Engagement

    OpenAIRE

    CARUTH, Gail D.

    2015-01-01

    Online learning opportunities have become essential for today’s colleges and universities. Online technology can support active learning approaches to learning. The purpose of the paper was to investigate why active learning in online classes has a positive effect on student engagement. A review of the literature revealed that research studies have been conducted to investigate the benefits of active learning. There exists extensive evidence to support the notion that active learning enhances...

  12. Don't forget the learner: an essential aspect for developing effective hypermedia online learning in continuing medical education.

    Science.gov (United States)

    Sandars, John; Homer, Matthew; Walsh, Kieran; Rutherford, Alaster

    2012-03-01

    There is increasing use of hypermedia online learning in continuing medical education (CME) that presents the learner with a wide range of different learning resources, requiring the learner to use self-regulated learning (SRL) skills. This study is the first to apply an SRL perspective to understand how learners engage with hypermedia online learning in CME. We found that the main SRL skills used by learners were use of strategies and monitoring. The increasing use of strategies was associated with increasing interest in the topic and with increasing satisfaction with the learning experience. Further research is recommended to understand SRL processes and its impact on learning in other aspects of hypermedia online learning across the different phases of medical education. Research is also recommended to implement and evaluate the learning impact of a variety of approaches to develop the SRL skills of hypermedia online learners in CME.

  13. Blended learning models for directing the self-learning activity of “Software Engineering” specialty students

    Directory of Open Access Journals (Sweden)

    Vera V. Lyubchenko

    2014-12-01

    Full Text Available The adoption of Law of Ukraine “On Higher Education” (2014 involves the increase in students’ self-learning activity part in the curriculum. Therefore the self-learning activities’ arrangement in a way augmenting the result quality becomes a top priority task. This research objective consists in elaborating the scenario for organization of the students’ qualitative self-study, based on blended learning models. The author analyzes four blended learning models: the rotation model, flex-model, self-blend model and online driver model, and gives examples of their use. It is shown that first two models are the most suitable for full-time students. A general scenario for the use of blended learning models is described. Although the use of blended learning models causes several difficulties, it also essentially contributes into students’ self-study monitoring and control support.

  14. Identification of Repellent and Insecticidal Constituents from Artemisia mongolica Essential Oil against Lasioderma serricorne

    Directory of Open Access Journals (Sweden)

    Chunxue You

    2015-01-01

    Full Text Available The aims of this research were to determine the chemical composition and insecticidal and repellent activities of the Artemisia mongolica essential oil against Lasioderma serricorne and to isolate active constituents from the essential oil. The essential oil of A. mongolica was obtained by hydrodistillation and 36 components were identified with GC-MS. Eucalyptol (39.88%, (S-cis-verbenol (14.93%, 4-terpineol (7.20%, (−-camphor (6.02%, and α-terpineol (4.20% were found to be major components. With a further isolation process, five constituents obtained from the essential oil were identified as eucalyptol, verbenol, 4-terpineol, camphor, and α-terpineol. In the progress of assay, it showed that L. serricorne adults had different sensitivities to the crude essential oil and isolated constituents. 4-Terpineol exhibited strongest contact activity against L. serricorne, showing the LD50 value of 8.62 μg/adult. Moreover, camphor and α-terpineol showed stronger fumigant activity (LC50=2.91 and 3.27 mg/L air, resp. against L. serricorne than crude essential oil and other constituents. In addition, the essential oil, eucalyptol, verbenol, and α-terpineol showed comparable repellency against L. serricorne adults. The results indicate that the essential oil and isolated compounds have potential to provide more efficient and safer natural insecticides or repellents for control of insects in food and Chinese medicinal materials preservation.

  15. Antioxidant activities and essential oil composition of Herba Artemisiae Scopariae from China.

    Science.gov (United States)

    Jiang, Shan; Lai, Pengxiang; Li, Jie; Wang, Guichun

    2012-01-01

    The essential oil in traditional Chinese medicine (TCM) Herba Artemisiae Scopariae (HAC) grown in China was obtained by hydrodistillation and studied by GC and GC-MS. Twenty compounds were identified representing 96.6% of the essential oil, of which the most prominent were n-hexadecanoic acid (33.1%), caryophyllene oxide (19.1%) and spathulenol (9.9%). The antioxidant activity of the essential oil (25-400 µg/ml) of HAC was evaluated by 1,1-diphenyl-2-picrylhydrazyl (DPPH) radical scavenging activity and ferric reducing/antioxidant power (FRAP) assay. The essential oil of HAC exhibited a strong antioxidant activity, which possess a good potential for use in the food and pharmaceutical industry.

  16. Chemical composition and antimicrobial evaluation of Achillea aucheri essential oil

    Directory of Open Access Journals (Sweden)

    2017-11-01

    Full Text Available Background and objectives: The majority of the Achillea spp. are used as medicinal plants with therapeutic applications worldwide. Achillea aucheri was selected in our study to assess its essential oil chemical composition along with antimicrobial evaluation. Methods: The essential oil of A. aucheri achieved through hydrodistillation, was analyzed via gas chromatography-mass spectrometry (GC-MS. Afterwards, the microbial growth inhibitory property of the A. aucheri essential oil was determined using the agar disk-diffusion method against five Gram-positive strains (Staphylococus aureus, Staphylococus epidermidis, Micrococcus luteus, Bacillus subtilis, Bacillus cereus, three Gram-negative bacteria (Eschrichia coli, Psedumonas aeruginosa, Salmonella typhi and a fungus (Candida albicans. Besides, minimal inhibitory concentrations (MICs of the sensitive strains were determined by broth dilution method to evaluate the inhibitory properties.Results: The GC-MS analysis, allowed us to identify 28 compounds, representing 98.1% of the total essential oil. The main components of the oil were identified as α-thujone (45.6%, artemisia alcohol (26.5% and yomogi alcohol (8.8%. The findings of the antimicrobial assay indicated that S. aureus was the most sensitive strain with the strongest inhibition zone of 31.5 ± 0.5 and MIC of 2.5 % v/v, followed by S. epidermidis and M. luteus, respectively.Conclusion: Overall, A. aucheri essential oil possessed potential antibacterial and antioxidant activities that could be attributed to the high content of oxygenated monoterpenes present in the oil which requisite for further exploration of the compounds in charge, considering the growing statistics of bacterial resistance worldwide.

  17. Animal-Assisted Literacy Instruction for Students with Identified Learning Disabilities: Examining the Effects of Incorporating a Therapy Dog into Guided Oral Reading Sessions

    Science.gov (United States)

    Treat, Wendy Abigail

    2013-01-01

    Literacy acquisition is imperative to successful academic progress and to successful participation in our society. Students with identified learning disabilities are often among those who struggle to acquire literacy skills. The following dissertation shares the results of a reading intervention study in which nine students with identified…

  18. [Connectionist models of social learning: a case of learning by observing a simple task].

    Science.gov (United States)

    Paignon, A; Desrichard, O; Bollon, T

    2004-03-01

    This article proposes a connectionist model of the social learning theory developed by Bandura (1977). The theory posits that an individual in an interactive situation is capable of learning new behaviours merely by observing them in others. Such learning is acquired through an initial phase in which the individual memorizes what he has observed (observation phase), followed by a second phase where he puts the recorded observations to use as a guide for adjusting his own behaviour (reproduction phase). We shall refer to the two above-mentioned phases to demonstrate that it is conceivable to simulate learning by observation otherwise than through the recording of perceived information using symbolic representation. To this end we shall rely on the formalism of ecological neuron networks (Parisi, Cecconi, & Nolfi, 1990) to implement an agent provided with the major processes identified as essential to learning through observation. The connectionist model so designed shall implement an agent capable of recording perceptive information and producing motor behaviours. The learning situation we selected associates an agent demonstrating goal-achievement behaviour and an observer agent learning the same behaviour by observation. Throughout the acquisition phase, the demonstrator supervises the observer's learning process based on association between spatial information (input) and behavioural information (output). Representation thus constructed then serves as an adjustment guide during the production phase, involving production by the observer of a sequence of actions which he compares to the representation stored in distributed form as constructed through observation. An initial simulation validates model architecture by confirming the requirement for both phases identified in the literature (Bandura, 1977) to simulate learning through observation. The representation constructed over the observation phase evidences acquisition of observed behaviours, although this phase

  19. Utilizing constructivism learning theory in collaborative testing as a creative strategy to promote essential nursing skills.

    Science.gov (United States)

    Duane, Barbara T; Satre, Maria E

    2014-01-01

    In nursing education, students participate in individual learner testing. This process follows the instructionist learning theory of a system model. However, in the practice of nursing, success depends upon collaboration with numerous people in different capacities, critical thinking, clinical reasoning, and the ability to communicate with others. Research has shown that collaborative testing, a constructivism learning activity and a form of collaborative learning, enhances students' abilities to master these areas. Collaborative testing is a clear, creative strategy which constructivists would say supports the socio-linguistic base of their learning theory. The test becomes an active implementation of peer-mediated learning where individual knowledge is enhanced through problem solving or defense of an individual position with the collaborative method. There is criticism for the testing method's potential of grade inflation and for students to receive grade benefits with little effort. After a review of various collaborative testing methods, this nursing faculty implemented a collaborative testing format that addresses both the positive and negative aspects of the process. Copyright © 2013 Elsevier Ltd. All rights reserved.

  20. Lessons from Management 101: Learning to Manage Ourselves

    Science.gov (United States)

    Miller, John A.

    2017-01-01

    The Management 101 Project continues to shape our understanding of what's essential to an introductory general education course in management. Our ongoing challenge is to integrate responsibilities to people (Who needs to learn? Everybody.), to best practices (How can we best learn? Active, experiential methods.), and to the contents of our…

  1. Vocabulary Acquisition through Direct and Indirect Learning Strategies

    Science.gov (United States)

    Naeimi, Maki; Foo, Thomas Chow Voon

    2015-01-01

    Vocabulary learning has long been considered as one of the essential components for developing language learning. However, language learners are required to not just concern about memorizing definitions but also integrating vocabulary meaning into their present knowledge. Many strategies such as direct or indirect ones may be integrated to enhance…

  2. Social Networks and Performance in Distributed Learning Communities

    Science.gov (United States)

    Cadima, Rita; Ojeda, Jordi; Monguet, Josep M.

    2012-01-01

    Social networks play an essential role in learning environments as a key channel for knowledge sharing and students' support. In distributed learning communities, knowledge sharing does not occur as spontaneously as when a working group shares the same physical space; knowledge sharing depends even more on student informal connections. In this…

  3. Building Virtual Teams: Experiential Learning Using Emerging Technologies

    Science.gov (United States)

    Hu, Haihong

    2015-01-01

    Currently, virtual teams are being used exponentially in higher education and business because of the development of technologies and globalization. These teams have become an essential approach for collaborative learning as well as task completion. Team learning, especially in an online format, can be challenging due to lack of effective…

  4. Medication Impairs Probabilistic Classification Learning in Parkinson's Disease

    Science.gov (United States)

    Jahanshahi, Marjan; Wilkinson, Leonora; Gahir, Harpreet; Dharminda, Angeline; Lagnado, David A.

    2010-01-01

    In Parkinson's disease (PD), it is possible that tonic increase of dopamine associated with levodopa medication overshadows phasic release of dopamine, which is essential for learning. Thus while the motor symptoms of PD are improved with levodopa medication, learning would be disrupted. To test this hypothesis, we investigated the effect of…

  5. Identify User’s Satisfaction from Platform Using Behavior

    Directory of Open Access Journals (Sweden)

    Kuo L.H.

    2016-01-01

    Full Text Available The purpose of this study was to verify a model of user’s satisfaction of an e-learning environment based upon platform using behaviors. This is a non-experimental study. The data was collected from system management logs and users satisfaction survey after learning service. Total 314 users were invited in this study. First, theory model was identified. Second, the satisfaction survey results were prepared. Third, the behavior data of each survey subject were prepared. A CFA procedure were conducted to verify whether the data fits into the model. The model fit is positive with χ2 = 2.06, p-value=.151, df= 1, RMSEA=.058. The proposed two-factor theory model with simple structure fit the data. The love e-learning and satisfaction of e-learning factors are significantly supporting the hypothesis of a relationship between the factors. The findings suggested that identifying satisfaction from behavior is possible.

  6. Analysis of Helichrysum oligocephalum DC. essential oil

    Directory of Open Access Journals (Sweden)

    N. Ghassemi-Dehkordi

    2015-12-01

    Full Text Available Background and objectives: Helichrysum oligocephalum DC. (Compositae  is an endemic plant in Iran that has been recommended by Iranian traditional and folk medicine practitioners for gastrointestinal complaints. The plant is rich in essential oil and in the present investigation, the volatile composition of the species has been determined. Methods: The light yellow essential oil from the aerial parts of the plant was prepared according to the method which was recommended in British Pharmacopoeia by using hydrodistillation. The chemical composition of the oil was investigated by gas chromatography mass spectroscopy (GC/MS. Results: Thirty-seven compounds were identified; among them β-caryophyllene, α-humulene and epimanoyl oxide were dominant. Sesquiterpenoids were the most dominant compounds in the essential oil while monoterpenoides, fatty acids and diterpenoides were found to be less. These outcomes are a little bit different from what has been reported before. Conclusion: The differences between the results of the present study with previous works could be due to the diversity of variety, polymorphism, stage of plant growth and environmental factors.

  7. The metabolic responses to aerial diffusion of essential oils.

    Directory of Open Access Journals (Sweden)

    Yani Wu

    Full Text Available Anxiety disorders are the most prevalent psychiatric disorders and affect a great number of people worldwide. Essential oils, take effects through inhalation or topical application, are believed to enhance physical, emotional, and spiritual well-being. Although clinical studies suggest that the use of essential oils may have therapeutic potential, evidence for the efficacy of essential oils in treating medical conditions remains poor, with a particular lack of studies employing rigorous analytical methods that capture its identifiable impact on human biology. Here, we report a comprehensive gas chromatography time-of-flight mass spectrometry (GC-TOFMS based metabonomics study that reveals the aromas-induced metabolic changes and the anxiolytic effect of aromas in elevated plus maze (EPM induced anxiety model rats. The significant alteration of metabolites in the EPM group was attenuated by aromas treatment, concurrent with the behavioral improvement with significantly increased open arms time and open arms entries. Brain tissue and urinary metabonomic analysis identified a number of altered metabolites in response to aromas intervention. These metabolic changes included the increased carbohydrates and lowered levels of neurotransmitters (tryptophan, serine, glycine, aspartate, tyrosine, cysteine, phenylalanine, hypotaurine, histidine, and asparagine, amino acids, and fatty acids in the brain. Elevated aspartate, carbohydrates (sucrose, maltose, fructose, and glucose, nucleosides and organic acids such as lactate and pyruvate were also observed in the urine. The EPM induced metabolic differences observed in urine or brain tissue was significantly reduced after 10 days of aroma inhalation, as noted with the loss of statistical significance on many of the metabolites in the aroma-EPM group. This study demonstrates, for the first time, that the metabonomics approach can capture the subtle metabolic changes resulting from exposure to essential oils

  8. In vitro scolicidal effect of Satureja khuzistanica (Jamzad) essential oil

    Institute of Scientific and Technical Information of China (English)

    Mohammad Moazeni; Mohammad Jamal Saharkhiz; Ali Akbar Hoseini; Amir Mootabi Alavi

    2012-01-01

    Objective: To investigate the scolicidal effect of the Satureja khuzistanica (S. khuzistanica) essential oil from aerial parts of this herbal plant. Methods: The essential oil was obtained by hydrodistillation method. Gas chromatography (GC) and gas chromatography mass spectrometry (GC-MS) were employed to determine the chemical composition of the essential oil. Protoscolices were collected aseptically from sheep livers containing hydatid cyst. Protoscolices were exposed to various concentrations of the oil (3, 5 and 10 mg/mL) for 10, 20, 30, and 60 min. Viability of protoscolices was confirmed by 0.1% eosin staining. Results: A total of 19 compounds representing 97.6% of the total oil, were identified. Carvacrol (94.9%) was found to be the major essential oil constituent. Scolicidal activity of S. khuzistanica essential oil at concentration of 3 mg/mL was 28.58, 32.71, 37.20 and 42.02%, respectively. This essential oil at concentration of 5 mg/mL killed 51.33, 66.68, 81.12, and 100% of protoscolices after 10, 20, 30 and 60 min, respectively. One hundred scolicidal effect was observed with S. khuzistanica essential oil at the concentration of 10 mg/mL after 10 min (comparing with 7.19% for control group). Conclusions: The essential oil of S. khuzistanica is rich in carvacrol and may be used as a natural scolicidal agent.

  9. Web Log Pre-processing and Analysis for Generation of Learning Profiles in Adaptive E-learning

    Directory of Open Access Journals (Sweden)

    Radhika M. Pai

    2016-03-01

    Full Text Available Adaptive E-learning Systems (AESs enhance the efficiency of online courses in education by providing personalized contents and user interfaces that changes according to learner’s requirements and usage patterns. This paper presents the approach to generate learning profile of each learner which helps to identify the learning styles and provide Adaptive User Interface which includes adaptive learning components and learning material. The proposed method analyzes the captured web usage data to identify the learning profile of the learners. The learning profiles are identified by an algorithmic approach that is based on the frequency of accessing the materials and the time spent on the various learning components on the portal. The captured log data is pre-processed and converted into standard XML format to generate learners sequence data corresponding to the different sessions and time spent. The learning style model adopted in this approach is Felder-Silverman Learning Style Model (FSLSM. This paper also presents the analysis of learner’s activities, preprocessed XML files and generated sequences.

  10. Web Log Pre-processing and Analysis for Generation of Learning Profiles in Adaptive E-learning

    Directory of Open Access Journals (Sweden)

    Radhika M. Pai

    2016-04-01

    Full Text Available Adaptive E-learning Systems (AESs enhance the efficiency of online courses in education by providing personalized contents and user interfaces that changes according to learner’s requirements and usage patterns. This paper presents the approach to generate learning profile of each learner which helps to identify the learning styles and provide Adaptive User Interface which includes adaptive learning components and learning material. The proposed method analyzes the captured web usage data to identify the learning profile of the learners. The learning profiles are identified by an algorithmic approach that is based on the frequency of accessing the materials and the time spent on the various learning components on the portal. The captured log data is pre-processed and converted into standard XML format to generate learners sequence data corresponding to the different sessions and time spent. The learning style model adopted in this approach is Felder-Silverman Learning Style Model (FSLSM. This paper also presents the analysis of learner’s activities, preprocessed XML files and generated sequences.

  11. ZigBee-2007 Security Essentials

    DEFF Research Database (Denmark)

    Yuksel, Ender; Nielson, Hanne Riis; Nielson, Flemming

    2008-01-01

    ZigBee is a fairly new but promising standard for wireless networks due to its low resource requirements. As in other wireless network standards, security is an important issue and each new version of the ZigBee Specification enhances the level of the ZigBee security. In this paper, we present...... the security essentials of the latest ZigBee Specification, ZigBee-2007. We explain the key concepts, protocols, and computations. In addition, we formulate the protocols using standard protocol narrations. Finally, we identify the key challenges to be considered for consolidating ZigBee....

  12. Understanding science teacher enhancement programs: Essential components and a model

    Science.gov (United States)

    Spiegel, Samuel Albert

    Researchers and practioners alike recognize that "the national goal that every child in the United States has access to high-quality school education in science and mathematics cannot be realized without the availability of effective professional development of teachers" (Hewson, 1997, p. 16). Further, there is a plethora of reports calling for the improvement of professional development efforts (Guskey & Huberman, 1995; Kyle, 1995; Loucks-Horsley, Hewson, Love, & Stiles, 1997). In this study I analyze a successful 3-year teacher enhancement program, one form of professional development, to: (1) identify essential components of an effective teacher enhancement program; and (2) create a model to identify and articulate the critical issues in designing, implementing, and evaluating teacher enhancement programs. Five primary sources of information were converted into data: (1) exit questionnaires, (2) exit surveys, (3) exit interview transcripts, (4) focus group transcripts, and (5) other artifacts. Additionally, a focus group was used to conduct member checks. Data were analyzed in an iterative process which led to the development of the list of essential components. The Components are categorized by three organizers: Structure (e.g., science research experience, a mediator throughout the program), Context (e.g., intensity, collaboration), and Participant Interpretation (e.g., perceived to be "safe" to examine personal beliefs and practices, actively engaged). The model is based on: (1) a 4-year study of a successful teacher enhancement program; (2) an analysis of professional development efforts reported in the literature; and (3) reflective discussions with implementors, evaluators, and participants of professional development programs. The model consists of three perspectives, cognitive, symbolic interaction, and organizational, representing different viewpoints from which to consider issues relevant to the success of a teacher enhancement program. These

  13. Incorporating technology-based learning tools into teaching and learning of optimization problems

    Science.gov (United States)

    Yang, Irene

    2014-07-01

    The traditional approach of teaching optimization problems in calculus emphasizes more on teaching the students using analytical approach through a series of procedural steps. However, optimization normally involves problem solving in real life problems and most students fail to translate the problems into mathematic models and have difficulties to visualize the concept underlying. As an educator, it is essential to embed technology in suitable content areas to engage students in construction of meaningful learning by creating a technology-based learning environment. This paper presents the applications of technology-based learning tool in designing optimization learning activities with illustrative examples, as well as to address the challenges in the implementation of using technology in teaching and learning optimization. The suggestion activities in this paper allow flexibility for educator to modify their teaching strategy and apply technology to accommodate different level of studies for the topic of optimization. Hence, this provides great potential for a wide range of learners to enhance their understanding of the concept of optimization.

  14. The association between motivation, affect, and self-regulated learning when solving problems

    NARCIS (Netherlands)

    M.A. Baars (Martine); L. Wijnia (Lisette); G.W.C. Paas (Fred)

    2017-01-01

    textabstractSelf-regulated learning (SRL) skills are essential for learning during school years, particularly in complex problem-solving domains, such as biology and math. Although a lot of studies have focused on the cognitive resources that are needed for learning to solve problems in a

  15. Commercial Essential Oils as Potential Antimicrobials to Treat Skin Diseases

    Science.gov (United States)

    Orchard, Ané

    2017-01-01

    Essential oils are one of the most notorious natural products used for medical purposes. Combined with their popular use in dermatology, their availability, and the development of antimicrobial resistance, commercial essential oils are often an option for therapy. At least 90 essential oils can be identified as being recommended for dermatological use, with at least 1500 combinations. This review explores the fundamental knowledge available on the antimicrobial properties against pathogens responsible for dermatological infections and compares the scientific evidence to what is recommended for use in common layman's literature. Also included is a review of combinations with other essential oils and antimicrobials. The minimum inhibitory concentration dilution method is the preferred means of determining antimicrobial activity. While dermatological skin pathogens such as Staphylococcus aureus have been well studied, other pathogens such as Streptococcus pyogenes, Propionibacterium acnes, Haemophilus influenzae, and Brevibacterium species have been sorely neglected. Combination studies incorporating oil blends, as well as interactions with conventional antimicrobials, have shown that mostly synergy is reported. Very few viral studies of relevance to the skin have been made. Encouragement is made for further research into essential oil combinations with other essential oils, antimicrobials, and carrier oils. PMID:28546822

  16. Comparison of Natural Language Processing Rules-based and Machine-learning Systems to Identify Lumbar Spine Imaging Findings Related to Low Back Pain.

    Science.gov (United States)

    Tan, W Katherine; Hassanpour, Saeed; Heagerty, Patrick J; Rundell, Sean D; Suri, Pradeep; Huhdanpaa, Hannu T; James, Kathryn; Carrell, David S; Langlotz, Curtis P; Organ, Nancy L; Meier, Eric N; Sherman, Karen J; Kallmes, David F; Luetmer, Patrick H; Griffith, Brent; Nerenz, David R; Jarvik, Jeffrey G

    2018-03-28

    To evaluate a natural language processing (NLP) system built with open-source tools for identification of lumbar spine imaging findings related to low back pain on magnetic resonance and x-ray radiology reports from four health systems. We used a limited data set (de-identified except for dates) sampled from lumbar spine imaging reports of a prospectively assembled cohort of adults. From N = 178,333 reports, we randomly selected N = 871 to form a reference-standard dataset, consisting of N = 413 x-ray reports and N = 458 MR reports. Using standardized criteria, four spine experts annotated the presence of 26 findings, where 71 reports were annotated by all four experts and 800 were each annotated by two experts. We calculated inter-rater agreement and finding prevalence from annotated data. We randomly split the annotated data into development (80%) and testing (20%) sets. We developed an NLP system from both rule-based and machine-learned models. We validated the system using accuracy metrics such as sensitivity, specificity, and area under the receiver operating characteristic curve (AUC). The multirater annotated dataset achieved inter-rater agreement of Cohen's kappa > 0.60 (substantial agreement) for 25 of 26 findings, with finding prevalence ranging from 3% to 89%. In the testing sample, rule-based and machine-learned predictions both had comparable average specificity (0.97 and 0.95, respectively). The machine-learned approach had a higher average sensitivity (0.94, compared to 0.83 for rules-based), and a higher overall AUC (0.98, compared to 0.90 for rules-based). Our NLP system performed well in identifying the 26 lumbar spine findings, as benchmarked by reference-standard annotation by medical experts. Machine-learned models provided substantial gains in model sensitivity with slight loss of specificity, and overall higher AUC. Copyright © 2018 The Association of University Radiologists. All rights reserved.

  17. Cultural Learning Redux

    Science.gov (United States)

    Tomasello, Michael

    2016-01-01

    M. Tomasello, A. Kruger, and H. Ratner (1993) proposed a theory of cultural learning comprising imitative learning, instructed learning, and collaborative learning. Empirical and theoretical advances in the past 20 years suggest modifications to the theory; for example, children do not just imitate but overimitate in order to identify and…

  18. Field Studies—Essential Cognitive Foundations for Geoscience Expertise

    Science.gov (United States)

    Goodwin, C.; Mogk, D. W.

    2010-12-01

    are learning in the field, regulate and modify their activities, and plan for future work.Embodied practice in the field shows students how to explore and interrogate nature, and how to interact and learn from other scientists. Learning geoscience is a social enterprise, requiring a long apprenticeship through which newcomers learn about Nature by working with competent senior practitioners in the settings where relevant nature is systematically studied. Learned social practices include the ability to enhance understanding of natural phenomena by constructing appropriate representations (inscriptions), knowing how to select and use appropriate tools, engaging the accepted community of practice, adopting professional standards and values, and the ability to contribute to geoscience discourse about the complex world. Both tools and the ability to locate perspicuous sites in the environment must be mastered so that representations can be made of structures in the landscape that cannot actually be seen from any single point of view to obtain a holistic and integrated interpretation of Earth history and processes. Sustained development of these cognitive strategies and skills is essential to the professional development of all geoscientists.

  19. Comprehensive identification of essential Staphylococcus aureus genes using Transposon-Mediated Differential Hybridisation (TMDH

    Directory of Open Access Journals (Sweden)

    Burgis Timothy A

    2009-07-01

    Full Text Available Abstract Background In recent years there has been an increasing problem with Staphylococcus aureus strains that are resistant to treatment with existing antibiotics. An important starting point for the development of new antimicrobial drugs is the identification of "essential" genes that are important for bacterial survival and growth. Results We have developed a robust microarray and PCR-based method, Transposon-Mediated Differential Hybridisation (TMDH, that uses novel bioinformatics to identify transposon inserts in genome-wide libraries. Following a microarray-based screen, genes lacking transposon inserts are re-tested using a PCR and sequencing-based approach. We carried out a TMDH analysis of the S. aureus genome using a large random mariner transposon library of around a million mutants, and identified a total of 351 S. aureus genes important for survival and growth in culture. A comparison with the essential gene list experimentally derived for Bacillus subtilis highlighted interesting differences in both pathways and individual genes. Conclusion We have determined the first comprehensive list of S. aureus essential genes. This should act as a useful starting point for the identification of potential targets for novel antimicrobial compounds. The TMDH methodology we have developed is generic and could be applied to identify essential genes in other bacterial pathogens.

  20. Artemisia sieberi Besser essential oil and treatment of fungal infections.

    Science.gov (United States)

    Mahboubi, Mohaddese

    2017-05-01

    A. sieberi essential oil has been used for treatment of hardly curable infectious ulcers in Middle East Medicine and has been famous due to its wormicide effects. In this review, we evaluated the potency of A. sieberi essential oil in treatment of fungal infections. We searched in PubMed Central, Science direct, Wiley, Springer, SID, and accessible books, reports, thesis. There is a lot of mixed information on chemical compositions of A. sieberi essential oil, but most articles reported α, β-thujones as the main components of essential oils. In vitro studies confirmed the antifungal activity of A. sieberi essential oil against saprophytes fungi, dermatophytes, Malassezia sp. and Candida sp. and these results were confirmed in six clinical studies. The clinical studies confirmed the superiority of A. sieberi essential oil (5%) lotion in improvement of clinical signs of fungal superficial diseases, and mycological laboratory examinations of dermatophytosis and pityriasis versicolor diseases than clotrimazole (1%) topical treatment. The recurrence rate of superficial fungal infections with dermatophytosis and pityriasis versicolor was statistically lower in A. sieberi essential oil (5%) lotion than clotrimazole. There are no adverse effects due to the application of A. sieberi essential oil in clinical studies. Despite, the efficacy of A. sieberi essential oil against Candida sp., there is no clinical study about their related infections. Investigation about the effects of A. sieberi essential oil on fungal virulence factors in order to identifying the exact mechanism of antifungal activity and clinical trials on Candida related diseases are recommended. Copyright © 2017 Elsevier Masson SAS. All rights reserved.

  1. Organizational Learning: Keeping Pace with Change through Action Learning

    OpenAIRE

    Yeadon-Lee, Annie

    2015-01-01

    In the current climate of economic ‘austerity’, organisational learning has increasingly gained importance, and a need for new ways of transferring learning has been identified. Organisational learning is seen as key to organisational success, ensuring both competitive advantage and organisational longevity. However, in order for organisations to keep pace with change they must not only strive to learn but also pay attention to how they might learn. A dominant view within the field of organis...

  2. Strategies for teaching and learning vocabulary

    Directory of Open Access Journals (Sweden)

    Feng Teng

    2014-11-01

    Full Text Available Abstract This article presents an overview of current research on second language vocabulary learning and proposes eight strategies for teaching and learning vocabulary. First, to facilitate effective vocabulary teaching, choosing high-frequency words is essential. Teachers of vocabulary also need to add explicit, intentional teaching to incidental learning. In addition, vocabulary learning strategies including morphological awareness and lexical inference provides a platform by which learners can improve both receptive and productive vocabulary knowledge. This article also suggests that productive vocabulary knowledge needs more attention than receptive vocabulary knowledge, and that available textbooks seldom address vocabulary sufficiently. In summary, it is very important for all learners and teachers to acknowledge that learning vocabulary is incremental in nature, and we should develop a principled, long-term program for teaching and learning vocabulary.

  3. Integrating e-Learning and Classroom Learning; Four Years of Asynchronous Learning to Improve Academic Competences

    Directory of Open Access Journals (Sweden)

    Bart Rienties

    2008-06-01

    Full Text Available In an ever-changing world, competencies to process information efficiently are essential. However, several researchers indicate that graduates have limited abilities to solve complex problems in reality. In this paper, a possible solution to increase competences in effective searching, analysing and comparing information is provided. In a blended-learning environment, students had to share information before coming to class. The results of an analysis of four consecutive years of computersupported learning in a master-course indicate that students are willing to share information when conditions are favourable. In addition, a specific redesign of the task, control and social dimension let to increased knowledge sharing. Future research is necessary to assess whether this also has increased performance.

  4. Analysis of the essential oil from Gaillardia pulchella Foug. and its antioxidant activity.

    Science.gov (United States)

    Yao, Xiao Tong; Ling, Pei Xue; Jiang, Shan; Lai, Peng Xiang; Zhu, Chen Gang

    2013-01-01

    The essential oil from Gaillardia pulchella Foug. flowers was obtained by hydrodistillation and its chemical composition was analyzed by gas chromatography-mass spectrometry (GC-MS). Twenty-eight compounds representing 92.63% of the essential oil were identified, of which the most prominent were n-Hexadecanoic acid (26.90%), Phytol (7.58%) and Cyclopropaneoctanoic acid, 2-[[2-[(2-ethylcyclopropyl) methyl] cyclopropyl] methyl]-, methyl ester (6.73%). Meanwhile, antioxidant activity of the essential oil was tested. The essential oil showed certain antioxidant activity in 1,1-diphenyl-2-picrylhydrazyl (DPPH) with an EC₅₀ of 70.95 μg/ml. This is the first report on the essential oil of this particular species. Its bioactivities warrant further studies.

  5. Mobile English Vocabulary Learning Based on Concept-Mapping Strategy

    Science.gov (United States)

    Liu, Pei-Lin

    2016-01-01

    Numerous researchers in education recognize that vocabulary is essential in foreign language learning. However, students often encounter vocabulary that is difficult to remember. Providing effective vocabulary learning strategies is therefore more valuable than teaching students a large amount of vocabulary. The purpose of this study was to…

  6. Chemical Composition of the Essential Oil of the Subterranean Parts of Valeriana alliariifolia

    Directory of Open Access Journals (Sweden)

    Kemal Husnu Can Baser

    2012-01-01

    Full Text Available The subterranean parts of Valeriana alliariifolia Adams were subjected to hydrodistillation and traceamount of essential oil was obtained. The chemical composition of the oil was identified by using capillary GasChromatography (GC and GC/MS simultaneously. In total 68 constituents were identified, representing 87.6 %of the total oil. The essential oil was dominated by isovaleric acid (28.6%, which is followed by -guaiane(7.2%, -humulene (4.7%, hexadecanoic acid (4.3%, valeric acid (3.7% and humulene epoxide-II (3.6% asthe major components.

  7. Technical Support Essentials Advice to Succeed in Technical Support

    CERN Document Server

    Sanchez, Andrew

    2010-01-01

    Technical Support Essentials is a book about the many facets of technical support. It attempts to provide a wide array of topics to serve as points of improvement, discussion, or simply topics that you might want to learn. The topics range from good work habits to the way technical supportgroups establish their own style of work. This book applies theories, models, and concepts synthesized from existing research in other fields-such as management, economics, leadership, and psychology-and connects them to technical support. The goal is to build on the work of others and allow their success to

  8. Toxicity of Rhododendron anthopogonoides Essential Oil and Its Constituent Compounds towards Sitophilus zeamais

    OpenAIRE

    Qi Zhi Liu; Zhi Wei Deng; Shu Shan Du; Cheng Fang Wang; Yu Xin Zhou; Kai Yang; Zhi Long Liu

    2011-01-01

    The screening of several Chinese medicinal plants for insecticidal principles showed that essential oil of Rhododendron anthopogonoides flowering aerial parts possessed significant toxicity against maize weevils, Sitophilus zeamais. A total of 37 components were identified in the essential oil and the main constituents of the essential oil were 4-phenyl-2-butanone (27.22%), nerolidol (8.08%), 1,4-cineole (7.85%), caryophyllene (7.63%) and γ-elemene (6.10%), followed by α-farnesene (4.40%) and...

  9. [Linking learning theory with practice].

    Science.gov (United States)

    Ávalos-Carranza, María Teresa; Amador-Olvera, Eric; Zerón-Gutiérrez, Lydia

    2016-01-01

    It is often said that it is easier to learn what is observed and practiced on a daily basis; to the need to effectively link theory with practice considered in the process of teaching and learning, many strategies have been developed to allow this process to be carried out in a more efficiently maner. It is, therefore, very important to recognize that an appropriate teacher/student relationship is essential for students to acquire the skills and abilities required.

  10. Identifying the Learning Styles and Instructional Tool Preferences of Beginning Food Science and Human Nutrition Majors

    Science.gov (United States)

    Bohn, D. M.; Rasmussen, C. N.; Schmidt, S. J.

    2004-01-01

    Learning styles vary among individuals, and understanding which instructional tools certain learning styles prefer can be utilized to enhance student learning. Students in the introductory Food Science and Human Nutrition course (FSHN 101), taught at the Univ. of Illinois at Urbana-Champaign, were asked to complete Gregorc's Learning Style…

  11. Social networks and performance in distributed learning communities

    OpenAIRE

    Cadima, Rita; Ojeda Rodríguez, Jordi; Monguet Fierro, José María

    2012-01-01

    Social networks play an essential role in learning environments as a key channel for knowledge sharing and students' support. In distributed learning communities, knowledge sharing does not occur as spontaneously as when a working group shares the same physical space; knowledge sharing depends even more on student informal connections. In this study we analyse two distributed learning communities' social networks in order to understand how characteristics of the social structure can enhance s...

  12. Pinus Roxburghii essential oil anticancer activity and chemical composition evaluation.

    Science.gov (United States)

    Sajid, Arfaa; Manzoor, Qaisar; Iqbal, Munawar; Tyagi, Amit Kumar; Sarfraz, Raja Adil; Sajid, Anam

    2018-01-01

    The present study was conducted to appraise the anticancer activity of Pinus roxburghii essential oil along with chemical composition evaluation. MTT assay revealed cytotoxicity induction in colon, leukemia, multiple myeloma, pancreatic, head and neck and lung cancer cells exposed to essential oil. Cancer cell death was also observed through live/dead cell viability assay and FACS analysis. Apoptosis induced by essential oil was confirmed by cleavage of PARP and caspase-3 that suppressed the colony-forming ability of tumor cells and 50 % inhibition occurred at a dose of 25 μg/mL. Moreover, essential oil inhibited the activation of inflammatory transcription factor NF-κB and inhibited expression of NF-κB regulated gene products linked to cell survival (survivin, c-FLIP, Bcl-2, Bcl-xL, c-Myc, c-IAP2), proliferation (Cyclin D1) and metastasis (MMP-9). P. roxburghii essential oil has considerable anticancer activity and could be used as anticancer agent, which needs further investigation to identify and purify the bioactive compounds followed by in vivo studies.

  13. GC Analyses of Salvia Seeds as Valuable Essential Oil Source

    Directory of Open Access Journals (Sweden)

    Mouna Ben Taârit

    2014-01-01

    Full Text Available The essential oils of seeds of Salvia verbenaca, Salvia officinalis, and Salvia sclarea were obtained by hydrodistillation and analyzed by gas chromatography (GC and GC-mass spectrometry. The oil yields (w/w were 0.050, 0.047, and 0.045% in S. verbenaca, S. sclarea, and S. officinalis, respectively. Seventy-five compounds were identified. The essential oil composition of S. verbenaca seeds showed that over 57% of the detected compounds were oxygenated monoterpenes followed by sesquiterpenes (24.04% and labdane type diterpenes (5.61%. The main essential oil constituents were camphor (38.94%, caryophyllene oxide (7.28%, and 13-epi-manool (5.61%, while those of essential oil of S. officinalis were α-thujone (14.77%, camphor (13.08%, and 1,8-cineole (6.66%. In samples of S. sclarea, essential oil consists mainly of linalool (24.25%, α-thujene (7.48%, linalyl acetate (6.90%, germacrene-D (5.88%, bicyclogermacrene (4.29%, and α-copaene (4.08%. This variability leads to a large range of naturally occurring volatile compounds with valuable industrial and pharmaceutical outlets.

  14. The interdependence between learning styles and and types of intelligence in students of Psychology specialization

    Directory of Open Access Journals (Sweden)

    Petru Jelescu

    2016-11-01

    Full Text Available Learning styles and types of intelligence are essential features of effective learning. Discovering and creative approach could be more appropriate form of learning to the current conditions of society.

  15. The essentials of risk management the definitive guide for the non-risk professional

    CERN Document Server

    Crouhy, Michel; Mark, Robert

    2006-01-01

    Learn what risk management is and how you can effectively implement it in your organisation Essentials of Risk Management eliminates the complex mathematics and minutiae surrounding corporate risk management. It describes key risk concepts and controls in language that you can understand. Topics include organisational issues and regulatory aspects, along with detailed descriptions of tools for controlling key types of market, credit, and operational risk.

  16. Interorganizational learning systems

    DEFF Research Database (Denmark)

    Hjalager, Anne-Mette

    1999-01-01

    The occurrence of organizational and interorganizational learning processes is not only the result of management endeavors. Industry structures and market related issues have substantial spill-over effects. The article reviews literature, and it establishes a learning model in which elements from...... organizational environments are included into a systematic conceptual framework. The model allows four types of learning to be identified: P-learning (professional/craft systems learning), T-learning (technology embedded learning), D-learning (dualistic learning systems, where part of the labor force is exclude...... from learning), and S-learning (learning in social networks or clans). The situation related to service industries illustrates the typology....

  17. Pengaruh Learning Climate Terhadap Job Performance Melalui Career Related Continuous Learning

    OpenAIRE

    Anggiani, Sarfilianty

    2017-01-01

    This research objective is to identify and to analyze the relatioship of Learning climatehas an influence on Job Performance through the Career Related Continuous Learning. The result of the study showed that Learning climate influenced Job Performance through the career related continuous learning. Managerial implication and the recommendation for future study are provided.

  18. Novel jet observables from machine learning

    Science.gov (United States)

    Datta, Kaustuv; Larkoski, Andrew J.

    2018-03-01

    Previous studies have demonstrated the utility and applicability of machine learning techniques to jet physics. In this paper, we construct new observables for the discrimination of jets from different originating particles exclusively from information identified by the machine. The approach we propose is to first organize information in the jet by resolved phase space and determine the effective N -body phase space at which discrimination power saturates. This then allows for the construction of a discrimination observable from the N -body phase space coordinates. A general form of this observable can be expressed with numerous parameters that are chosen so that the observable maximizes the signal vs. background likelihood. Here, we illustrate this technique applied to discrimination of H\\to b\\overline{b} decays from massive g\\to b\\overline{b} splittings. We show that for a simple parametrization, we can construct an observable that has discrimination power comparable to, or better than, widely-used observables motivated from theory considerations. For the case of jets on which modified mass-drop tagger grooming is applied, the observable that the machine learns is essentially the angle of the dominant gluon emission off of the b\\overline{b} pair.

  19. [Digital learning and teaching in medical education : Already there or still at the beginning?

    Science.gov (United States)

    Kuhn, Sebastian; Frankenhauser, Susanne; Tolks, Daniel

    2018-02-01

    The current choice of digital teaching and learning formats in medicine is very heterogeneous. In addition to the widely used classical static formats, social communication tools, audio/video-based media, interactive formats, and electronic testing systems enrich the learning environment.For medical students, the private use of digital media is not necessarily linked to their meaningful use in the study. Many gain their experience of digital learning in the sense of "assessment drives learning", especially by taking online exams in a passive, consuming role. About half of all medical students can be referred to as "e-examinees" whose handling of digital learning is primarily focused on online exam preparation. Essentially, they do not actively influence their digital environment. Only a quarter can be identified as a "digital all-rounder", who compiles their individual learning portfolio from the broad range of digital media.At present, the use of digital media is not yet an integral and comprehensive component of the teaching framework of medical studies in Germany, but is rather used in the sense of a punctual teaching enrichment. Current trends in digital teaching and learning offerings are mobile, interactive, and personalized platforms as well as increasing the relevance of learning platforms. Furthermore, didactical concepts targeting the changed learning habits of the students are more successful regarding the acceptance and learning outcomes. In addition, digitalization is currently gaining importance as a component in the medical school curricula.

  20. Antifungal potential of thyme essential oil as a preservative for storage of wheat seeds

    OpenAIRE

    Anžlovar, Sabina; Likar, Matevž; Dolenc Koce, Jasna

    2017-01-01

    Plant essential oils are potential food preservatives due to their inhibitory effects on bacterial and fungal growth. Antifungal activities of common thyme (Thymus vulgaris) essential oil were tested against endophytic fungi grown from wheat (Triticum aestivum) grain, molecularly identified as Alternaria alternata, Alternaria infectoria, Aspergillus fl avus, Epicoccum nigrum and Fusarium poae. Their susceptibility to thyme essential oil was tested in vitro, and ranged from fungicidal to fu...

  1. Virtual and physical toys: open-ended features for non-formal learning.

    Science.gov (United States)

    Petersson, Eva; Brooks, Anthony

    2006-04-01

    This paper examines the integrated toy--both physical and virtual--as an essential resource for collaborative learning. This learning incorporates rehabilitation, training, and education. The data derived from two different cases. Pedagogical issues related to non-formal learning and open-ended features of design are discussed. Findings suggest that social, material, and expressive affordances constitute a base for an alterative interface to encourage children's play and learning.

  2. Active Learning and Reflection in Product Development Engineering Education

    Science.gov (United States)

    Shekar, Aruna

    2007-01-01

    Traditional engineering courses at tertiary level have been traditionally theory-based, supported by laboratory work, but there is now a world-wide trend towards project-based learning. In product development education, project-based learning is essential in order to integrate the disciplines of design, marketing and manufacturing towards the…

  3. Training initiatives for essential obstetric care in developing countries: a 'state of the art' review.

    Science.gov (United States)

    Penny, S; Murray, S F

    2000-12-01

    Increased international awareness of the need to provide accessible essential or emergency obstetric and newborn care in developing countries has resulted in the recognition of new training needs and in a number of new initiatives to meet those needs. This paper reviews experience in this area so far. The first section deals with some of the different educational approaches and teaching methods that have now been employed, ranging from the traditional untheorized 'chalk and talk', to competency-based training, to theories of adult learning, problem solving and transferable skills. The second section describes a range of different types of indicators and data sources (learner assessments, user and community assessments, trainer assessments and institutional data) that have been used in the assessment of the effectiveness of such training. The final section of the paper draws together some of the lessons. It considers evaluation design issues such as the inclusion of medium and long term evaluation, the importance of methods that allow for the detection of iatrogenic effects of training, and the roles of community randomized trials and 'before, during and after' studies. Issues identified for the future include comparative work, how to keep training affordable, and where training ought to lie on the continuum between straightforward technical skills acquisition and the more complex learning processes required for demanding professional work.

  4. Chemical composition and anticancer, antiinflammatory, antioxidant and antimalarial activities of leaves essential oil of Cedrelopsis grevei.

    Science.gov (United States)

    Afoulous, Samia; Ferhout, Hicham; Raoelison, Emmanuel Guy; Valentin, Alexis; Moukarzel, Béatrice; Couderc, François; Bouajila, Jalloul

    2013-06-01

    The essential oil from Cedrelopsis grevei leaves, an aromatic and medicinal plant from Madagascar, is widely used in folk medicine. Essential oil was characterized by GC-MS and quantified by GC-FID. Sixty-four components were identified. The major constituents were: (E)-β-farnesene (27.61%), δ-cadinene (14.48%), α-copaene (7.65%) and β-elemene (6.96%). The essential oil contained a complex mixture consisting mainly sesquiterpene hydrocarbons (83.42%) and generally sesquiterpenes (98.91%). The essential oil was tested cytotoxic (on human breast cancer cells MCF-7), antimalarial (Plasmodium falciparum), antiinflammatory and antioxidant (ABTS and DPPH assays) activities. C. grevei essential oil was active against MCF-7 cell lines (IC50=21.5 mg/L), against P. falciparum, (IC50=17.5mg/L) and antiinflammatory (IC50=21.33 mg/L). The essential oil exhibited poor antioxidant activity against DPPH (IC50>1000 mg/L) and ABTS (IC50=110 mg/L) assays. A bibliographical review was carried out of all essential oils identified and tested with respect to antiplasmodial, anticancer and antiinflammatory activities. The aim was to establish correlations between the identified compounds and their biological activities (antiplasmodial, anticancer and antiinflammatory). According to the obtained correlations, 1,4-cadinadiene (R(2)=0.61) presented a higher relationship with antimalarial activity. However, only (Z)-β-farnesene (R(2)=0.73) showed a significant correlation for anticancer activity. Copyright © 2013 Elsevier Ltd. All rights reserved.

  5. Problem solving strategies used by RN-to-BSN students in an online problem-based learning course.

    Science.gov (United States)

    Oldenburg, Nancy L; Hung, Wei-Chen

    2010-04-01

    It is essential that nursing students develop the problem solving and critical thinking skills required in the current health care environment. Problem-based learning has been promoted as a way to help students acquire those skills; however, gaps exist in the knowledge base of the strategies used by learners. The purpose of this case study was to gain insight into the problem solving experience of a group of six RN-to-BSN students in an online problem-based learning course. Data, including discussion transcripts, reflective papers, and interview transcripts, were analyzed using a qualitative approach. Students expanded their use of resources and resolved the cases, identifying relevant facts and clinical applications. They had difficulty communicating their findings, establishing the credibility of sources, and offering challenging feedback. Increased support and direction are needed to facilitate the development of problem solving abilities of students in the problem-based learning environment.

  6. Merging Problem-Based Learning with Simulation-Based Learning in the Medical Undergraduate Curriculum: The PAIRED Framework for Enhancing Lifelong Learning

    Science.gov (United States)

    Koh, Jansen

    2016-01-01

    Lifelong learning is an essential trait that is expected of every physician. The CanMeds 2005 Physician Competency Framework emphasizes lifelong learning as a key competency that physicians must achieve in becoming better physicians. However, many physicians are not competent at engaging in lifelong learning. The current medical education system is deficient in preparing medical students to develop and carry out their own lifelong learning curriculum upon graduation. Despite understanding how physicians learn at work, medical students are not trained to learn while working. Similarly, although barriers to lifelong learning are known, medical students are not adequately skilled in overcoming these barriers. Learning to learn is just as important, if not more, as acquiring the skills and knowledge required of a physician. The medical undergraduate curriculum lacks a specific learning strategy to prepare medical students in becoming an adept lifelong learner. In this article, we propose a learning strategy for lifelong learning at the undergraduate level. In developing this novel strategy, we paid particular attention to two parameters. First, this strategy should be grounded on literature describing a physician’s lifelong learning process. Second, the framework for implementing this strategy must be based on existing undergraduate learning strategies to obviate the need for additional resources, learner burden, and faculty time. In this paper, we propose a Problem, Analysis, Independent Research Reporting, Experimentation Debriefing (PAIRED) framework that follows the learning process of a physician and serves to synergize the components of problem-based learning and simulation-based learning in specifically targeting the barriers to lifelong learning. PMID:27446767

  7. Machine learning models identify molecules active against the Ebola virus in vitro [version 3; referees: 2 approved

    Directory of Open Access Journals (Sweden)

    Sean Ekins

    2017-01-01

    Full Text Available The search for small molecule inhibitors of Ebola virus (EBOV has led to several high throughput screens over the past 3 years. These have identified a range of FDA-approved active pharmaceutical ingredients (APIs with anti-EBOV activity in vitro and several of which are also active in a mouse infection model. There are millions of additional commercially-available molecules that could be screened for potential activities as anti-EBOV compounds. One way to prioritize compounds for testing is to generate computational models based on the high throughput screening data and then virtually screen compound libraries. In the current study, we have generated Bayesian machine learning models with viral pseudotype entry assay and the EBOV replication assay data. We have validated the models internally and externally. We have also used these models to computationally score the MicroSource library of drugs to select those likely to be potential inhibitors. Three of the highest scoring molecules that were not in the model training sets, quinacrine, pyronaridine and tilorone, were tested in vitro and had EC50 values of 350, 420 and 230 nM, respectively. Pyronaridine is a component of a combination therapy for malaria that was recently approved by the European Medicines Agency, which may make it more readily accessible for clinical testing. Like other known antimalarial drugs active against EBOV, it shares the 4-aminoquinoline scaffold. Tilorone, is an investigational antiviral agent that has shown a broad array of biological activities including cell growth inhibition in cancer cells, antifibrotic properties, α7 nicotinic receptor agonist activity, radioprotective activity and activation of hypoxia inducible factor-1. Quinacrine is an antimalarial but also has use as an anthelmintic. Our results suggest data sets with less than 1,000 molecules can produce validated machine learning models that can in turn be utilized to identify novel EBOV inhibitors in

  8. Machine learning models identify molecules active against the Ebola virus in vitro [version 1; referees: 2 approved

    Directory of Open Access Journals (Sweden)

    Sean Ekins

    2015-10-01

    Full Text Available The search for small molecule inhibitors of Ebola virus (EBOV has led to several high throughput screens over the past 3 years. These have identified a range of FDA-approved active pharmaceutical ingredients (APIs with anti-EBOV activity in vitro and several of which are also active in a mouse infection model. There are millions of additional commercially-available molecules that could be screened for potential activities as anti-EBOV compounds. One way to prioritize compounds for testing is to generate computational models based on the high throughput screening data and then virtually screen compound libraries. In the current study, we have generated Bayesian machine learning models with viral pseudotype entry assay and the EBOV replication assay data. We have validated the models internally and externally. We have also used these models to computationally score the MicroSource library of drugs to select those likely to be potential inhibitors. Three of the highest scoring molecules that were not in the model training sets, quinacrine, pyronaridine and tilorone, were tested in vitro and had EC50 values of 350, 420 and 230 nM, respectively. Pyronaridine is a component of a combination therapy for malaria that was recently approved by the European Medicines Agency, which may make it more readily accessible for clinical testing. Like other known antimalarial drugs active against EBOV, it shares the 4-aminoquinoline scaffold. Tilorone, is an investigational antiviral agent that has shown a broad array of biological activities including cell growth inhibition in cancer cells, antifibrotic properties, α7 nicotinic receptor agonist activity, radioprotective activity and activation of hypoxia inducible factor-1. Quinacrine is an antimalarial but also has use as an anthelmintic. Our results suggest data sets with less than 1,000 molecules can produce validated machine learning models that can in turn be utilized to identify novel EBOV inhibitors in

  9. Machine learning models identify molecules active against the Ebola virus in vitro [version 2; referees: 2 approved

    Directory of Open Access Journals (Sweden)

    Sean Ekins

    2016-01-01

    Full Text Available The search for small molecule inhibitors of Ebola virus (EBOV has led to several high throughput screens over the past 3 years. These have identified a range of FDA-approved active pharmaceutical ingredients (APIs with anti-EBOV activity in vitro and several of which are also active in a mouse infection model. There are millions of additional commercially-available molecules that could be screened for potential activities as anti-EBOV compounds. One way to prioritize compounds for testing is to generate computational models based on the high throughput screening data and then virtually screen compound libraries. In the current study, we have generated Bayesian machine learning models with viral pseudotype entry assay and the EBOV replication assay data. We have validated the models internally and externally. We have also used these models to computationally score the MicroSource library of drugs to select those likely to be potential inhibitors. Three of the highest scoring molecules that were not in the model training sets, quinacrine, pyronaridine and tilorone, were tested in vitro and had EC50 values of 350, 420 and 230 nM, respectively. Pyronaridine is a component of a combination therapy for malaria that was recently approved by the European Medicines Agency, which may make it more readily accessible for clinical testing. Like other known antimalarial drugs active against EBOV, it shares the 4-aminoquinoline scaffold. Tilorone, is an investigational antiviral agent that has shown a broad array of biological activities including cell growth inhibition in cancer cells, antifibrotic properties, α7 nicotinic receptor agonist activity, radioprotective activity and activation of hypoxia inducible factor-1. Quinacrine is an antimalarial but also has use as an anthelmintic. Our results suggest data sets with less than 1,000 molecules can produce validated machine learning models that can in turn be utilized to identify novel EBOV inhibitors in

  10. Learning to predict chemical reactions.

    Science.gov (United States)

    Kayala, Matthew A; Azencott, Chloé-Agathe; Chen, Jonathan H; Baldi, Pierre

    2011-09-26

    Being able to predict the course of arbitrary chemical reactions is essential to the theory and applications of organic chemistry. Approaches to the reaction prediction problems can be organized around three poles corresponding to: (1) physical laws; (2) rule-based expert systems; and (3) inductive machine learning. Previous approaches at these poles, respectively, are not high throughput, are not generalizable or scalable, and lack sufficient data and structure to be implemented. We propose a new approach to reaction prediction utilizing elements from each pole. Using a physically inspired conceptualization, we describe single mechanistic reactions as interactions between coarse approximations of molecular orbitals (MOs) and use topological and physicochemical attributes as descriptors. Using an existing rule-based system (Reaction Explorer), we derive a restricted chemistry data set consisting of 1630 full multistep reactions with 2358 distinct starting materials and intermediates, associated with 2989 productive mechanistic steps and 6.14 million unproductive mechanistic steps. And from machine learning, we pose identifying productive mechanistic steps as a statistical ranking, information retrieval problem: given a set of reactants and a description of conditions, learn a ranking model over potential filled-to-unfilled MO interactions such that the top-ranked mechanistic steps yield the major products. The machine learning implementation follows a two-stage approach, in which we first train atom level reactivity filters to prune 94.00% of nonproductive reactions with a 0.01% error rate. Then, we train an ensemble of ranking models on pairs of interacting MOs to learn a relative productivity function over mechanistic steps in a given system. Without the use of explicit transformation patterns, the ensemble perfectly ranks the productive mechanism at the top 89.05% of the time, rising to 99.86% of the time when the top four are considered. Furthermore, the system

  11. Learning to Predict Chemical Reactions

    Science.gov (United States)

    Kayala, Matthew A.; Azencott, Chloé-Agathe; Chen, Jonathan H.

    2011-01-01

    Being able to predict the course of arbitrary chemical reactions is essential to the theory and applications of organic chemistry. Approaches to the reaction prediction problems can be organized around three poles corresponding to: (1) physical laws; (2) rule-based expert systems; and (3) inductive machine learning. Previous approaches at these poles respectively are not high-throughput, are not generalizable or scalable, or lack sufficient data and structure to be implemented. We propose a new approach to reaction prediction utilizing elements from each pole. Using a physically inspired conceptualization, we describe single mechanistic reactions as interactions between coarse approximations of molecular orbitals (MOs) and use topological and physicochemical attributes as descriptors. Using an existing rule-based system (Reaction Explorer), we derive a restricted chemistry dataset consisting of 1630 full multi-step reactions with 2358 distinct starting materials and intermediates, associated with 2989 productive mechanistic steps and 6.14 million unproductive mechanistic steps. And from machine learning, we pose identifying productive mechanistic steps as a statistical ranking, information retrieval, problem: given a set of reactants and a description of conditions, learn a ranking model over potential filled-to-unfilled MO interactions such that the top ranked mechanistic steps yield the major products. The machine learning implementation follows a two-stage approach, in which we first train atom level reactivity filters to prune 94.00% of non-productive reactions with a 0.01% error rate. Then, we train an ensemble of ranking models on pairs of interacting MOs to learn a relative productivity function over mechanistic steps in a given system. Without the use of explicit transformation patterns, the ensemble perfectly ranks the productive mechanism at the top 89.05% of the time, rising to 99.86% of the time when the top four are considered. Furthermore, the system

  12. The essential value of projects in faculty development.

    Science.gov (United States)

    Gusic, Maryellen E; Milner, Robert J; Tisdell, Elizabeth J; Taylor, Edward W; Quillen, David A; Thorndyke, Luanne E

    2010-09-01

    Projects--planned activities with specific goals and outcomes--have been used in faculty development programs to enhance participant learning and development. Projects have been employed most extensively in programs designed to develop faculty as educators. The authors review the literature and report the results of their 2008 study of the impact of projects within the Pennsylvania State University College of Medicine Junior Faculty Development Program, a comprehensive faculty development program. Using a mixed-methods approach, the products of project work, the academic productivity of program graduates, and the impact of projects on career development were analyzed. Faculty who achieved the most progress on their projects reported the highest number of academic products related to their project and the highest number of overall academic achievements. Faculty perceived that their project had three major effects on their professional development: production of a tangible outcome, development of a career focus, and development of relationships with mentors and peers. On the basis of these findings and a review of the literature, the authors conclude that projects are an essential element of a faculty development program. Projects provide a foundation for future academic success by enabling junior faculty to develop and hone knowledge and skills, identify a career focus and gain recognition within their community, generate scholarship, allocate time to academic work, and establish supportive relationships and collaborative networks. A list of best practices to successfully incorporate projects within faculty development programs is provided.

  13. Discovering online learning barriers: survey of health educational stakeholders in dentistry.

    Science.gov (United States)

    Schönwetter, D; Reynolds, P

    2013-02-01

    Given the exponential explosion of online learning tools and the challenge to harness their influence in dental education, there is a need to determine the current status of online learning tools being adopted at dental schools, the barriers that thwart the potential of adopting these and to capture this information from each of the various stakeholders involved in dental online learning (administrators, instructors, students and software/hardware technicians). The aims of this exploratory study are threefold: first, to understand which online learning tools are currently being adopted at dental schools; second, to determine the barriers in adopting online learning in dental education; and third, to identify a way of better preparing stakeholders in their quest to encourage others at their institutions to adopt online learning tools. Seventy-two participants representing eight countries and 13 stakeholder groups in dentistry were invited to complete the online Survey of Barriers in Online Learning Education in Health Professional Schools. The survey was created for this study but generic to all healthcare education domains. Twenty participants completed the survey. demonstrated that many online learning tools are being successfully adopted at dental schools, but computer-based assessment tools are the least successful. Added to this are challenges of support and resources for online learning tools. Participants offered suggestions of creating a blended (online and face-to-face) tutorial aimed at assisting stakeholders to help their dental schools in adopting online learning tools The information from this study is essential in helping us to better prepare the next generation of dental providers in terms of adopting online learning tools. This paper will not only provide strategies of how best to proceed, but also inspire participants with the necessary tools to move forward as they assist their clients with adopting and sustaining online learning tools and models

  14. Identifying Environmental and Social Factors Predisposing to Pathological Gambling Combining Standard Logistic Regression and Logic Learning Machine.

    Science.gov (United States)

    Parodi, Stefano; Dosi, Corrado; Zambon, Antonella; Ferrari, Enrico; Muselli, Marco

    2017-12-01

    Identifying potential risk factors for problem gambling (PG) is of primary importance for planning preventive and therapeutic interventions. We illustrate a new approach based on the combination of standard logistic regression and an innovative method of supervised data mining (Logic Learning Machine or LLM). Data were taken from a pilot cross-sectional study to identify subjects with PG behaviour, assessed by two internationally validated scales (SOGS and Lie/Bet). Information was obtained from 251 gamblers recruited in six betting establishments. Data on socio-demographic characteristics, lifestyle and cognitive-related factors, and type, place and frequency of preferred gambling were obtained by a self-administered questionnaire. The following variables associated with PG were identified: instant gratification games, alcohol abuse, cognitive distortion, illegal behaviours and having started gambling with a relative or a friend. Furthermore, the combination of LLM and LR indicated the presence of two different types of PG, namely: (a) daily gamblers, more prone to illegal behaviour, with poor money management skills and who started gambling at an early age, and (b) non-daily gamblers, characterised by superstitious beliefs and a higher preference for immediate reward games. Finally, instant gratification games were strongly associated with the number of games usually played. Studies on gamblers habitually frequently betting shops are rare. The finding of different types of PG by habitual gamblers deserves further analysis in larger studies. Advanced data mining algorithms, like LLM, are powerful tools and potentially useful in identifying risk factors for PG.

  15. Antioxidant and antibacterial properties of the Melissa officinalis essential oil

    Directory of Open Access Journals (Sweden)

    R. Mahmodi

    2016-06-01

    Full Text Available Background: Increasing drug resistance in microorganisms and concerns for side effects of chemical preservatives, especially in the food industry, have led to extensive studies on novel potential agents with natural origin. Objective: The aim of this study was to determine the antioxidant and antibacterial properties of the Melissa officinalis essential oil. Methods: This experimental study was carried out at Islamic Azad University, Saveh Branch in 2012-2013. The essential oil was extracted from different parts of the plant (leaves, stem and flower by hydrodistillation. The essential oil was phytochemically characterized by gas chromatography-mass spectrometry (GC-MS analysis. Antibacterial properties were examined by disc diffusion and microtiter plates. Antioxidant activity was examined by diphenyl-picryl-hydrazyl (DPPH assay. Findings: E-Citral in leaves, 2-Cyclohexen-1-one, 2-methyl-5-(1-methylethenyl in stem, and Trans-Carveol in flower were the major components identified in the Melissa officinalis. Among different parts essential oil, the highest and the lowest antibacterial activity were related to leaves and stem, respectively. The largest diameter of the inhibition growth zone for Staphylococcus aureus and Pseudomonas aeruginosa was related to the leaves essential oil. The highest antioxidant activity was related to the leaves essential oil in DPPH assay. Conclusion: With regards to the results, the Melissa officinalis essential oil can be used as a natural preservative for increasing the shelf life of foods.

  16. Dittrichia graveolens (L.) Greuter Essential Oil: Chemical Composition, Multivariate Analysis, and Antimicrobial Activity.

    Science.gov (United States)

    Mitic, Violeta; Stankov Jovanovic, Vesna; Ilic, Marija; Jovanovic, Olga; Djordjevic, Aleksandra; Stojanovic, Gordana

    2016-01-01

    The chemical composition and in vitro antimicrobial activities of Dittrichia graveolens (L.) Greuter essential oil was studied. Moreover, using agglomerative hierarchical cluster (AHC) and principal component analyses (PCA), the interrelationships of the D. graveolens essential-oil profiles characterized so far (including the sample from this study) were investigated. To evaluate the chemical composition of the essential oil, GC-FID and GC/MS analyses were performed. Altogether, 54 compounds were identified, accounting for 92.9% of the total oil composition. The D. graveolens oil belongs to the monoterpenoid chemotype, with monoterpenoids comprising 87.4% of the totally identified compounds. The major components were borneol (43.6%) and bornyl acetate (38.3%). Multivariate analysis showed that the compounds borneol and bornyl acetate exerted the greatest influence on the spatial differences in the composition of the reported oils. The antimicrobial activity against five bacterial and one fungal strain was determined using a disk-diffusion assay. The studied essential oil was active only against Gram-positive bacteria. Copyright © 2016 Verlag Helvetica Chimica Acta AG, Zürich.

  17. Service-learning and learning communities: two innovative school projects that are mutually enriched

    Directory of Open Access Journals (Sweden)

    Carmen ÁLVAREZ ÁLVAREZ

    2015-12-01

    Full Text Available This article reflects on the interrelationships that exist between two educational projects of today: service-learning (ApS and learning communities (CdA. The ApS is an educational methodology applied worldwide where a single project combines a learning based on experience with the implementation of a service to the community. CdA is a school transformation project to achieve that the information society does not exclude any person, constituting a reality in more than one hundred and ninety schools in Spain and Latin America. Between the two, it is possible to show differences, especially in what refers to its theoretical substrates, but in actual teaching practice in schools there is some harmony, particularly in the so closely that they cultivate both projects with the school community. Therefore, we conclude that service-learning and learning communities can occur as two innovative and relevant today projects which can be mutually enriching: because for both the approach school-community-environment and volunteering is essential.

  18. Technical Appliance in E-Learning: Student’s Perception on the Usage of Online Learning

    Directory of Open Access Journals (Sweden)

    Siti Sarah Mohd Johari

    2010-06-01

    Full Text Available The purpose of this study is to gain insights into student’s perception on the usage of technical appliances on online learning. The study took place in the Universiti Sains Malaysia (USM based on the sample of 1084 student s with the experiences of using E-learning Portal as one of the distance education academic programme. The students were surveyed on the participation needs based on respondent’s personal background, such as age, gender, ethnic groups, education streams and year-of-study. Results of the study showed even though most of the students felt uncertain about the technical appliances in E-learning Portal, the study illustrates the true nature of the student’s perceptions with respect to the functionality and effectiveness of technical appliance in E-learning Portal. This research is essential to elucidate the functions of technical appliances in facilitating the process of learning through the portal.

  19. ONLINE SCIENCE LEARNING:Best Practices and Technologies

    Directory of Open Access Journals (Sweden)

    TOJDE

    2009-04-01

    Full Text Available This essential publication is for all research and academic libraries, especially those institutions with online and distance education courses available in their science education programs. This book will also benefit audiences within the science education community of practice and others interested in STEM education, virtual schools, e-learning, m-learning, natural sciences, physical sciences, biological sciences, geosciences, online learning models, virtual laboratories, virtual field trips, cyberinfrastructure, neurological learning and the neuro-cognitive model. The continued growth in general studies and liberal arts and science programs online has led to a rise in the number of students whose science learning experiences are partially or exclusively online. character and quality of online science instruction.

  20. Interim essential and support drawing list for K Basins

    International Nuclear Information System (INIS)

    Langevin, M.J.

    1994-01-01

    This document presents a list of essential and support drawings that have been identified as required to achieve the mission objectives of K Basin and are an integral part of the in-progress K Basins system baselining effort. The drawings listed in the appendix are those drawings required to safely operate K Basins. These drawings will be authenticated through the field verification and design reconstitution programs to ensure that these identified drawings are consistent with design requirements