Phonotactic spoken language identification with limited training data

CSIR Research Space (South Africa)

Peche, M

2007-08-01

Full Text Available The authors investigate the addition of a new language, for which limited resources are available, to a phonotactic language identification system. Two classes of approaches are studied: in the first class, only existing phonetic recognizers...

Phonological Concept Learning.

Science.gov (United States)

Moreton, Elliott; Pater, Joe; Pertsova, Katya

2017-01-01

Linguistic and non-linguistic pattern learning have been studied separately, but we argue for a comparative approach. Analogous inductive problems arise in phonological and visual pattern learning. Evidence from three experiments shows that human learners can solve them in analogous ways, and that human performance in both cases can be captured by the same models. We test GMECCS (Gradual Maximum Entropy with a Conjunctive Constraint Schema), an implementation of the Configural Cue Model (Gluck & Bower, ) in a Maximum Entropy phonotactic-learning framework (Goldwater & Johnson, ; Hayes & Wilson, ) with a single free parameter, against the alternative hypothesis that learners seek featurally simple algebraic rules ("rule-seeking"). We study the full typology of patterns introduced by Shepard, Hovland, and Jenkins () ("SHJ"), instantiated as both phonotactic patterns and visual analogs, using unsupervised training. Unlike SHJ, Experiments 1 and 2 found that both phonotactic and visual patterns that depended on fewer features could be more difficult than those that depended on more features, as predicted by GMECCS but not by rule-seeking. GMECCS also correctly predicted performance differences between stimulus subclasses within each pattern. A third experiment tried supervised training (which can facilitate rule-seeking in visual learning) to elicit simple rule-seeking phonotactic learning, but cue-based behavior persisted. We conclude that similar cue-based cognitive processes are available for phonological and visual concept learning, and hence that studying either kind of learning can lead to significant insights about the other. Copyright © 2015 Cognitive Science Society, Inc.

Segmentation cues in conversational speech: Robust semantics and fragile phonotactics

Directory of Open Access Journals (Sweden)

Laurence eWhite

2012-10-01

Full Text Available Multiple cues influence listeners’ segmentation of connected speech into words, but most previous studies have used stimuli elicited in careful readings rather than natural conversation. Discerning word boundaries in conversational speech may differ from the laboratory setting. In particular, a speaker’s articulatory effort – hyperarticulation vs hypoarticulation (H&H – may vary according to communicative demands, suggesting a compensatory relationship whereby acoustic-phonetic cues are attenuated when other information sources strongly guide segmentation. We examined how listeners’ interpretation of segmentation cues is affected by speech style (spontaneous conversation vs read, using cross-modal identity priming. To elicit spontaneous stimuli, we used a map task in which speakers discussed routes around stylised landmarks. These landmarks were two-word phrases in which the strength of potential segmentation cues – semantic likelihood and cross-boundary diphone phonotactics – was systematically varied. Landmark-carrying utterances were transcribed and later re-recorded as read speech.Independent of speech style, we found an interaction between cue valence (favourable/unfavourable and cue type (phonotactics/semantics. Thus, there was an effect of semantic plausibility, but no effect of cross-boundary phonotactics, indicating that the importance of phonotactic segmentation may have been overstated in studies where lexical information was artificially suppressed. These patterns were unaffected by whether the stimuli were elicited in a spontaneous or read context, even though the difference in speech styles was evident in a main effect. Durational analyses suggested speaker-driven cue trade-offs congruent with an H&H account, but these modulations did not impact on listener behaviour. We conclude that previous research exploiting read speech is reliable in indicating the primacy of lexically-based cues in the segmentation of natural

Lexical mediation of phonotactic frequency effects on spoken word recognition: A Granger causality analysis of MRI-constrained MEG/EEG data.

Science.gov (United States)

Gow, David W; Olson, Bruna B

2015-07-01

Phonotactic frequency effects play a crucial role in a number of debates over language processing and representation. It is unclear however, whether these effects reflect prelexical sensitivity to phonotactic frequency, or lexical "gang effects" in speech perception. In this paper, we use Granger causality analysis of MR-constrained MEG/EEG data to understand how phonotactic frequency influences neural processing dynamics during auditory lexical decision. Effective connectivity analysis showed weaker feedforward influence from brain regions involved in acoustic-phonetic processing (superior temporal gyrus) to lexical areas (supramarginal gyrus) for high phonotactic frequency words, but stronger top-down lexical influence for the same items. Low entropy nonwords (nonwords judged to closely resemble real words) showed a similar pattern of interactions between brain regions involved in lexical and acoustic-phonetic processing. These results contradict the predictions of a feedforward model of phonotactic frequency facilitation, but support the predictions of a lexically mediated account.

Wordlikeness and Word Learning in Children with Hearing Loss

Science.gov (United States)

Stiles, Derek J.; McGregor, Karla K.; Bentler, Ruth A.

2013-01-01

Background: The more a novel word conforms to the phonotactics of the language, the more wordlike it is and the easier it is to learn. It is unknown to what extent children with hearing loss (CHL) take advantage of phonotactic cues to support word learning. Aims: This study investigated whether CHL had similar sensitivities to wordlikeness during…

Phonotactic probability of brand names: I'd buy that!

Science.gov (United States)

Vitevitch, Michael S; Donoso, Alexander J

2012-11-01

Psycholinguistic research shows that word-characteristics influence the speed and accuracy of various language-related processes. Analogous characteristics of brand names influence the retrieval of product information and the perception of risks associated with that product. In the present experiment we examined how phonotactic probability-the frequency with which phonological segments and sequences of segments appear in a word-might influence consumer behavior. Participants rated brand names that varied in phonotactic probability on the likelihood that they would buy the product. Participants indicated that they were more likely to purchase a product if the brand name was comprised of common segments and sequences of segments rather than less common segments and sequences of segments. This result suggests that word-characteristics may influence higher-level cognitive processes, in addition to language-related processes. Furthermore, the benefits of using objective measures of word characteristics in the design of brand names are discussed.

Why segmentation matters: Experience-driven segmentation errors impair "morpheme" learning.

Science.gov (United States)

Finn, Amy S; Hudson Kam, Carla L

2015-09-01

We ask whether an adult learner's knowledge of their native language impedes statistical learning in a new language beyond just word segmentation (as previously shown). In particular, we examine the impact of native-language word-form phonotactics on learners' ability to segment words into their component morphemes and learn phonologically triggered variation of morphemes. We find that learning is impaired when words and component morphemes are structured to conflict with a learner's native-language phonotactic system, but not when native-language phonotactics do not conflict with morpheme boundaries in the artificial language. A learner's native-language knowledge can therefore have a cascading impact affecting word segmentation and the morphological variation that relies upon proper segmentation. These results show that getting word segmentation right early in learning is deeply important for learning other aspects of language, even those (morphology) that are known to pose a great difficulty for adult language learners. (c) 2015 APA, all rights reserved).

Why segmentation matters: experience-driven segmentation errors impair “morpheme” learning

Science.gov (United States)

Finn, Amy S.; Hudson Kam, Carla L.

2015-01-01

We ask whether an adult learner’s knowledge of their native language impedes statistical learning in a new language beyond just word segmentation (as previously shown). In particular, we examine the impact of native-language word-form phonotactics on learners’ ability to segment words into their component morphemes and learn phonologically triggered variation of morphemes. We find that learning is impaired when words and component morphemes are structured to conflict with a learner’s native-language phonotactic system, but not when native-language phonotactics do not conflict with morpheme boundaries in the artificial language. A learner’s native-language knowledge can therefore have a cascading impact affecting word segmentation and the morphological variation that relies upon proper segmentation. These results show that getting word segmentation right early in learning is deeply important for learning other aspects of language, even those (morphology) that are known to pose a great difficulty for adult language learners. PMID:25730305

Health-related quality of life of children with newly diagnosed specific learning disability.

Science.gov (United States)

Karande, Sunil; Bhosrekar, Kirankumar; Kulkarni, Madhuri; Thakker, Arpita

2009-06-01

The objective of this study was to measure health-related quality of life (HRQL) of children with newly diagnosed specific learning disability (SpLD) using the Child Health Questionnaire-Parent Form 50. We detected clinically significant deficits (effect size > or = -0.5) in 9 out of 12 domains: limitations in family activities, emotional impact on parents, social limitations as a result of emotional-behavioral problems, time impact on parents, general behavior, physical functioning, social limitations as a result of physical health, general health perceptions and mental health; and in both summary scores (psychosocial > physical). Multivariate analysis revealed having > or = 1 non-academic problem(s) (p or =1 non-academic problem(s) (p = 0.006) or first-born status (p = 0.035) predicted a poor physical summary score. HRQL is significantly compromised in children having newly diagnosed SpLD.

Attitude to e-learning among newly qualified doctors.

Science.gov (United States)

Goh, Jason; Clapham, Michael

2014-02-01

e-Learning plays an increasingly important role in medical education. Much research has focused on the evaluation of individual modules among medical students or more senior trainee doctors. We studied the attitude of newly qualified foundation level-1 doctors (FY1s) towards a blended learning programme to gain insight into the perceived role of e-learning in relation to classroom and experiential learning. The blended learning strategy consisted of weekly 3-hour sessions of lectures and flexible e-learning sessions. A questionnaire survey was conducted among 54 per cent (37/69) of FY1 doctors, towards the end of their first year post qualification. The majority of FY1s had to carry out additional e-learning outside of work. When asked where was best to carry out e-learning, 54 per cent preferred to e-learn both at work and at home, whereas 38 per cent preferred to e-learn outside of work exclusively. An equal preference for a classroom-only strategy and a blended programme was reported. Seventy-three per cent of the FY1s thought that e-learning should not be part of their compulsory weekly teaching programme. Fifty-four per cent of FY1s thought that e-learning had been useful for their education and training in their FY1 year. The e-learning package cited as being most useful was the safe prescribing e-programme, pioneered locally. Newly qualified doctors value e-learning as an adjunct to experiential and lecture-based teaching, and most prefer it as part of a blended learning programme at work or at home. Medical educators must place equal emphasis on the delivery and administration of e-learning as well as on the course design. © 2014 John Wiley & Sons Ltd.

Phonotactic Probability Effect in Nonword Recall and Its Relationship with Vocabulary in Monolingual and Bilingual Preschoolers

Science.gov (United States)

Messer, Marielle H.; Leseman, Paul P. M.; Boom, Jan; Mayo, Aziza Y.

2010-01-01

The current study examined to what extent information in long-term memory concerning the distribution of phoneme clusters in a language, so-called long-term phonotactic knowledge, increased the capacity of verbal short-term memory in young language learners and, through increased verbal short-term memory capacity, supported these children's first…

Learning beyond graduation: exploring newly qualified specialists' entrance into daily practice from a learning perspective.

Science.gov (United States)

Cuyvers, Katrien; Donche, Vincent; Van den Bossche, Piet

2016-05-01

The entrance of newly qualified medical specialists into daily practice is considered to be a stressful period in which curriculum support is absent. Although engaging in both personal and professional learning and development activities is recognized fundamental for lifelong professional competence, research on medical professionals' entrance into practice is scarce. This research aims to contribute to the framework of medical professionals' informal learning and outlines the results of an exploratory study on the nature of learning in daily practice beyond postgraduate training. Eleven newly qualified physicians from different specialized backgrounds participated in a phenomenographic study, using a critical incident method and a grounded theory approach. Results demonstrated that learning in the workplace is, to a large extent, informal and associated with a variety of learning experiences. Analysis shows that experiences related to diagnostics and treatments are important sources for learning. Furthermore, incidents related to communication, changing roles, policy and organization offer learning opportunities, and therefore categorized as learning experiences. A broad range of learning activities are identified in dealing with these learning experiences. More specifically, actively engaging in actions and interactions, especially with colleagues of the same specialty, are the most mentioned. Observing others, consulting written sources, and recognizing uncertainties, are also referred to as learning activities. In the study, interaction, solely or combined with other learning activities, are deemed as very important by specialists in the initial entrance into practice. These insights can be used to develop workplace structures to support the entrance into practice following postgraduate training.

[Bioethical analysis of the use of newly dead patients in medical learning].

Science.gov (United States)

Gomes, Andréia Patrícia; Rego, Sergio; Palácios, Marisa; Siqueira-Batista, Rodrigo

2010-01-01

The purpose of this article is to carry out, a discussion on the subject of bioethics and cadavers based upon a critic review of literature. A review of literature, was made with a survey of articles between 1977 and 2007 in the sites 'Biblioteca Virtual de Saúde', PubMed and SciElo, utilizing the keywords: newly deceased patients, newly dead patients, simulators,. This was complemented by a critical evaluation of books published in the area of ethics and bioethics. The possibility to develop learning without orientation by a supervisor is doubtful.. The utilization of newly dead for learning invasive procedures is very frequent and seldom admitted. These procedures, are usually, carried out secretly, without the knowledge and consent of the family. The ethical aspects of these practices are not discussed in the practical medical education. It essential that the ethics of use of recent deceased become a necessary content of graduate education. Performance of these procedures by students should always be authorized by family members. The simulators meet the requirements of training. Discussions about the ethical and bioethical aspects cannot be separated from practical considerations during the students learning time.

An explicit statistical model of learning lexical segmentation using multiple cues

NARCIS (Netherlands)

Çöltekin, Ça ̆grı; Nerbonne, John; Lenci, Alessandro; Padró, Muntsa; Poibeau, Thierry; Villavicencio, Aline

2014-01-01

This paper presents an unsupervised and incremental model of learning segmentation that combines multiple cues whose use by children and adults were attested by experimental studies. The cues we exploit in this study are predictability statistics, phonotactics, lexical stress and partial lexical

Growth of verbal short-term memory of nonwords varying in phonotactic probability : A longitudinal study with monolingual and bilingual children

NARCIS (Netherlands)

Messer, Marielle H.|info:eu-repo/dai/nl/304835226; Verhagen, Josje|info:eu-repo/dai/nl/277955882; Boom, Jan|info:eu-repo/dai/nl/07472732X; Mayo, Aziza Y.|info:eu-repo/dai/nl/271313404; Leseman, Paul P M|info:eu-repo/dai/nl/070760810

2015-01-01

This study investigates the hypothesis that verbal short-term memory growth in young children can be explained by increases in long-term linguistic knowledge. To this aim, we compare children's recall of nonwords varying in phonotactic probability. If our assumption holds, there should be growth in

Effects of Stimulus Characteristics and Background Music on Foreign Language Vocabulary Learning and Forgetting

Science.gov (United States)

de Groot, Annette M. B.

2006-01-01

This study examined the effects of three stimulus variables and background music on paired-associate learning of foreign language (FL) vocabulary. The stimulus variables were the frequency and concreteness of the native language (L1) words and the (phonotactical) typicality of the FL words. Sixty-four L1-FL pairs were presented for learning six…

Word Recognition and Nonword Repetition in Children with Language Disorders: The Effects of Neighborhood Density, Lexical Frequency, and Phonotactic Probability

Science.gov (United States)

Rispens, Judith; Baker, Anne; Duinmeijer, Iris

2015-01-01

Purpose: The effects of neighborhood density (ND) and lexical frequency on word recognition and the effects of phonotactic probability (PP) on nonword repetition (NWR) were examined to gain insight into processing at the lexical and sublexical levels in typically developing (TD) children and children with developmental language problems. Method:…

People newly in love are more responsive to positive feedback.

Science.gov (United States)

Brown, Cassandra L; Beninger, Richard J

2012-06-01

Passionate love is associated with increased activity in dopamine-rich regions of the brain. Increased dopamine in these regions is associated with a greater tendency to learn from reward in trial-and-error learning tasks. This study examined the prediction that individuals who were newly in love would be better at responding to reward (positive feedback). In test trials, people who were newly in love selected positive outcomes significantly more often than their single (not in love) counterparts but were no better at the task overall. This suggests that people who are newly in love show a bias toward responding to positive feedback, which may reflect a general bias towards reward-seeking.

Unsupervised Learning and Generalization

DEFF Research Database (Denmark)

Hansen, Lars Kai; Larsen, Jan

1996-01-01

The concept of generalization is defined for a general class of unsupervised learning machines. The generalization error is a straightforward extension of the corresponding concept for supervised learning, and may be estimated empirically using a test set or by statistical means-in close analogy ...... with supervised learning. The empirical and analytical estimates are compared for principal component analysis and for K-means clustering based density estimation......The concept of generalization is defined for a general class of unsupervised learning machines. The generalization error is a straightforward extension of the corresponding concept for supervised learning, and may be estimated empirically using a test set or by statistical means-in close analogy...

Newly qualified teachers' visions of science learning and teaching

Science.gov (United States)

Roberts, Deborah L.

2011-12-01

This study investigated newly qualified teachers' visions of science learning and teaching. The study also documented their preparation in an elementary science methods course. The research questions were: What educational and professional experiences influenced the instructor's visions of science learning and teaching? What visions of science learning and teaching were promoted in the participants' science methods course? What visions of science learning and teaching did these newly qualified teachers bring with them as they graduated from their teacher preparation program? How did these visions compare with those advocated by reform documents? Data sources included participants' assignments, weekly reflections, and multi-media portfolio finals. Semi-structured interviews provided the emic voice of participants, after graduation but before they had begun to teach. These data were interpreted via a combination of qualitative methodologies. Vignettes described class activities. Assertions supported by excerpts from participants' writings emerged from repeated review of their assignments. A case study of a typical participant characterized weekly reflections and final multi-media portfolio. Four strands of science proficiency articulated in a national reform document provided a framework for interpreting activities, assignments, and interview responses. Prior experiences that influenced design of the methods course included an inquiry-based undergraduate physics course, participation in a reform-based teacher preparation program, undergraduate and graduate inquiry-based science teaching methods courses, participation in a teacher research group, continued connection to the university as a beginning teacher, teaching in diverse Title 1 schools, service as the county and state elementary science specialist, participation in the Carnegie Academy for the Scholarship of Teaching and Learning, service on a National Research Council committee, and experience teaching a

The Influence of Phonotactic Probability on Nonword Repetition and Fast Mapping in 3-Year-Olds with a History of Expressive Language Delay

Science.gov (United States)

MacRoy-Higgins, Michelle; Dalton, Kevin Patrick

2015-01-01

Purpose: The purpose of this study was to examine the influence of phonotactic probability on sublexical (phonological) and lexical representations in 3-year-olds who had a history of being late talkers in comparison with their peers with typical language development. Method: Ten 3-year-olds who were late talkers and 10 age-matched typically…

Phonotactic diversity predicts the time depth of the world's language families.

Directory of Open Access Journals (Sweden)

Taraka Rama

Full Text Available The ASJP (Automated Similarity Judgment Program described an automated, lexical similarity-based method for dating the world's language groups using 52 archaeological, epigraphic and historical calibration date points. The present paper describes a new automated dating method, based on phonotactic diversity. Unlike ASJP, our method does not require any information on the internal classification of a language group. Also, the method can use all the available word lists for a language and its dialects eschewing the debate on 'language' vs. 'dialect'. We further combine these dates and provide a new baseline which, to our knowledge, is the best one. We make a systematic comparison of our method, ASJP's dating procedure, and combined dates. We predict time depths for world's language families and sub-families using this new baseline. Finally, we explain our results in the model of language change given by Nettle.

Mandarin-English Bilinguals Process Lexical Tones in Newly Learned Words in Accordance with the Language Context.

Science.gov (United States)

Quam, Carolyn; Creel, Sarah C

2017-01-01

Previous research has mainly considered the impact of tone-language experience on ability to discriminate linguistic pitch, but proficient bilingual listening requires differential processing of sound variation in each language context. Here, we ask whether Mandarin-English bilinguals, for whom pitch indicates word distinctions in one language but not the other, can process pitch differently in a Mandarin context vs. an English context. Across three eye-tracked word-learning experiments, results indicated that tone-intonation bilinguals process tone in accordance with the language context. In Experiment 1, 51 Mandarin-English bilinguals and 26 English speakers without tone experience were taught Mandarin-compatible novel words with tones. Mandarin-English bilinguals out-performed English speakers, and, for bilinguals, overall accuracy was correlated with Mandarin dominance. Experiment 2 taught 24 Mandarin-English bilinguals and 25 English speakers novel words with Mandarin-like tones, but English-like phonemes and phonotactics. The Mandarin-dominance advantages observed in Experiment 1 disappeared when words were English-like. Experiment 3 contrasted Mandarin-like vs. English-like words in a within-subjects design, providing even stronger evidence that bilinguals can process tone language-specifically. Bilinguals (N = 58), regardless of language dominance, attended more to tone than English speakers without Mandarin experience (N = 28), but only when words were Mandarin-like-not when they were English-like. Mandarin-English bilinguals thus tailor tone processing to the within-word language context.

What Did They Take Away?: Examining Newly Qualified U.S. Teachers' Visions of Learning and Teaching Science in K-8 Classrooms

Science.gov (United States)

Roberts-Harris, Deborah

2014-01-01

This study investigated newly qualified K-8 teachers' visions of science learning and teaching after they had completed preparation in a science teaching methods course I taught. What visions of science learning and teaching were these newly qualified teachers taking away from my course? How did these visions compare with those advocated by reform…

How Newcomers Learn the Social Norms of an Organization: A Case Study of the Socialization of Newly Hired Engineers

Science.gov (United States)

Korte, Russell F.

2009-01-01

Current scholarship views organizational socialization as a learning process that is primarily the responsibility of the newcomer. Yet recent learning research recognizes the importance of the social interactions in the learning process. This study investigated how newly hired engineers at a large manufacturing company learned job-related tasks…

"Theory Becoming Alive": The Learning Transition Process of Newly Graduated Nurses in Canada.

Science.gov (United States)

Nour, Violet; Williams, Anne M

2018-01-01

Background Newly graduated nurses often encounter a gap between theory and practice in clinical settings. Although this has been the focus of considerable research, little is known about the learning transition process. Purpose The purpose of this study was to explore the experiences of newly graduated nurses in acute healthcare settings within Canada. This study was conducted to gain a greater understanding of the experiences and challenges faced by graduates. Methods Grounded theory method was utilized with a sample of 14 registered nurses who were employed in acute-care settings. Data were collected using in-depth interviews. Constant comparative analysis was used to analyze data. Results Findings revealed a core category, "Theory Becoming Alive," and four supporting categories: Entry into Practice, Immersion, Committing, and Evolving. Theory Becoming Alive described the process of new graduate nurses' clinical learning experiences as well as the challenges that they encountered in clinical settings after graduating. Conclusions This research provides a greater understanding of learning process of new graduate nurses in Canada. It highlights the importance of providing supportive environments to assist new graduate nurses to develop confidence as independent registered nurses in clinical areas. Future research directions as well as supportive educational strategies are described.

Mandarin-English Bilinguals Process Lexical Tones in Newly Learned Words in Accordance with the Language Context

Science.gov (United States)

Quam, Carolyn; Creel, Sarah C.

2017-01-01

Previous research has mainly considered the impact of tone-language experience on ability to discriminate linguistic pitch, but proficient bilingual listening requires differential processing of sound variation in each language context. Here, we ask whether Mandarin-English bilinguals, for whom pitch indicates word distinctions in one language but not the other, can process pitch differently in a Mandarin context vs. an English context. Across three eye-tracked word-learning experiments, results indicated that tone-intonation bilinguals process tone in accordance with the language context. In Experiment 1, 51 Mandarin-English bilinguals and 26 English speakers without tone experience were taught Mandarin-compatible novel words with tones. Mandarin-English bilinguals out-performed English speakers, and, for bilinguals, overall accuracy was correlated with Mandarin dominance. Experiment 2 taught 24 Mandarin-English bilinguals and 25 English speakers novel words with Mandarin-like tones, but English-like phonemes and phonotactics. The Mandarin-dominance advantages observed in Experiment 1 disappeared when words were English-like. Experiment 3 contrasted Mandarin-like vs. English-like words in a within-subjects design, providing even stronger evidence that bilinguals can process tone language-specifically. Bilinguals (N = 58), regardless of language dominance, attended more to tone than English speakers without Mandarin experience (N = 28), but only when words were Mandarin-like—not when they were English-like. Mandarin-English bilinguals thus tailor tone processing to the within-word language context. PMID:28076400

Topographic generalization of tactile perceptual learning.

Science.gov (United States)

Harrar, Vanessa; Spence, Charles; Makin, Tamar R

2014-02-01

Perceptual learning can improve our sensory abilities. Understanding its underlying mechanisms, in particular, when perceptual learning generalizes, has become a focus of research and controversy. Specifically, there is little consensus regarding the extent to which tactile perceptual learning generalizes across fingers. We measured tactile orientation discrimination abilities on 4 fingers (index and middle fingers of both hands), using psychophysical measures, before and after 4 training sessions on 1 finger. Given the somatotopic organization of the hand representation in the somatosensory cortex, the topography of the cortical areas underlying tactile perceptual learning can be inferred from the pattern of generalization across fingers; only fingers sharing cortical representation with the trained finger ought to improve with it. Following training, performance improved not only for the trained finger but also for its adjacent and homologous fingers. Although these fingers were not exposed to training, they nevertheless demonstrated similar levels of learning as the trained finger. Conversely, the performance of the finger that was neither adjacent nor homologous to the trained finger was unaffected by training, despite the fact that our procedure was designed to enhance generalization, as described in recent visual perceptual learning research. This pattern of improved performance is compatible with previous reports of neuronal receptive fields (RFs) in the primary somatosensory cortex (SI) spanning adjacent and homologous digits. We conclude that perceptual learning rooted in low-level cortex can still generalize, and suggest potential applications for the neurorehabilitation of syndromes associated with maladaptive plasticity in SI. PsycINFO Database Record (c) 2014 APA, all rights reserved.

The experience of learning to speak up: a narrative inquiry on newly graduated registered nurses.

Science.gov (United States)

Law, Bernice Yee-Shui; Chan, Engle Angela

2015-07-01

To explore the process of learning to speak up in practice among newly graduated registered nurses. Speaking up is an important aspect of communication to ensure patient safety within a healthcare team. However, nurses have reported being hesitant about speaking up or being unable to be heard, despite adopting various safety tools. A power differential could be a factor in their hesitation to speak up. While a large number of new graduates are employed in the lower rungs of the hospital hierarchy to resolve local and global nursing shortages, the process of their learning to speak up remains under-explored. The narrative concept of experience is addressed through the three-dimensional space of a narrative inquiry. Eighteen new graduates were recruited. Stories of experiences of speaking up emerged naturally during repeated unstructured interviews and ongoing email conversations with three participants. The complex process of learning to speak up is schematically represented. Three interrelated narrative threads were identified: (1) learning to speak up requires more than one-off training and safety tools, (2) mentoring speaking up in the midst of educative and miseducative experiences and (3) making public spaces safe for telling secret stories. Speaking up requires ongoing mentoring to see new possibilities for sustaining professional identities in the midst of miseducative experiences under the potential shaping of the Chinese culture and generational differences. Appreciative inquiry might be a new approach that can be used to promote positive cultural changes to encourage newly graduated registered nurses to learn to speak up to ensure patient safety. Cultivating a safe and open culture of communication and mentoring new graduates to speak up will benefit patient safety now and in the future by helping to retain committed patient advocates who could mentor future generations. © 2015 John Wiley & Sons Ltd.

Generalized SMO algorithm for SVM-based multitask learning.

Science.gov (United States)

Cai, Feng; Cherkassky, Vladimir

2012-06-01

Exploiting additional information to improve traditional inductive learning is an active research area in machine learning. In many supervised-learning applications, training data can be naturally separated into several groups, and incorporating this group information into learning may improve generalization. Recently, Vapnik proposed a general approach to formalizing such problems, known as "learning with structured data" and its support vector machine (SVM) based optimization formulation called SVM+. Liang and Cherkassky showed the connection between SVM+ and multitask learning (MTL) approaches in machine learning, and proposed an SVM-based formulation for MTL called SVM+MTL for classification. Training the SVM+MTL classifier requires the solution of a large quadratic programming optimization problem which scales as O(n(3)) with sample size n. So there is a need to develop computationally efficient algorithms for implementing SVM+MTL. This brief generalizes Platt's sequential minimal optimization (SMO) algorithm to the SVM+MTL setting. Empirical results show that, for typical SVM+MTL problems, the proposed generalized SMO achieves over 100 times speed-up, in comparison with general-purpose optimization routines.

Shared learning in general practice--facilitators and barriers.

Science.gov (United States)

van de Mortel, Thea; Silberberg, Peter; Ahern, Christine

2013-03-01

Capacity for teaching in general practice clinics is limited. Shared learning sessions are one form of vertically integrated teaching that may ameliorate capacity constraints. This study sought to understand the perceptions of general practitioner supervisors, learners and practice staff of the facilitators of shared learning in general practice clinics. Using a grounded theory approach, semistructured interviews were conducted and analysed to generate a theory about the topic. Thirty-five stakeholders from nine general practices participated. Facilitators of shared learning included enabling factors such as small group facilitation skills, space, administrative support and technological resources; reinforcing factors such as targeted funding, and predisposing factors such as participant attributes. Views from multiple stakeholders suggest that the implementation of shared learning in general practice clinics would be supported by an ecological approach that addresses all these factors.

Implementing E-Learning Designed Courses in General Education

Science.gov (United States)

Nuangchalerm, Prasart; Sakkumduang, Krissada; Uhwha, Suleepornn; Chansirisira, Pacharawit

2014-01-01

The aim of this study is to implement e-learning designed course for general education. The study employed 3 phases for developing e-learning course: contextual study, designing, and implementing. Two courses general education, 217 undergraduate students are participated the study. Research tool consisted of interview about e-learning form and…

Learning styles of medical students, general surgery residents, and general surgeons: implications for surgical education.

Science.gov (United States)

Engels, Paul T; de Gara, Chris

2010-06-30

Surgical education is evolving under the dual pressures of an enlarging body of knowledge required during residency and mounting work-hour restrictions. Changes in surgical residency training need to be based on available educational models and research to ensure successful training of surgeons. Experiential learning theory, developed by David Kolb, demonstrates the importance of individual learning styles in improving learning. This study helps elucidate the way in which medical students, surgical residents, and surgical faculty learn. The Kolb Learning Style Inventory, which divides individual learning styles into Accommodating, Diverging, Converging, and Assimilating categories, was administered to the second year undergraduate medical students, general surgery resident body, and general surgery faculty at the University of Alberta. A total of 241 faculty, residents, and students were surveyed with an overall response rate of 73%. The predominant learning style of the medical students was assimilating and this was statistically significant (p learning style found in the residents and faculty. The predominant learning styles of the residents and faculty were convergent and accommodative, with no statistically significant differences between the residents and the faculty. We conclude that medical students have a significantly different learning style from general surgical trainees and general surgeons. This has important implications in the education of general surgery residents.

Learning styles of medical students, general surgery residents, and general surgeons: implications for surgical education

Directory of Open Access Journals (Sweden)

de Gara Chris

2010-06-01

Full Text Available Abstract Background Surgical education is evolving under the dual pressures of an enlarging body of knowledge required during residency and mounting work-hour restrictions. Changes in surgical residency training need to be based on available educational models and research to ensure successful training of surgeons. Experiential learning theory, developed by David Kolb, demonstrates the importance of individual learning styles in improving learning. This study helps elucidate the way in which medical students, surgical residents, and surgical faculty learn. Methods The Kolb Learning Style Inventory, which divides individual learning styles into Accommodating, Diverging, Converging, and Assimilating categories, was administered to the second year undergraduate medical students, general surgery resident body, and general surgery faculty at the University of Alberta. Results A total of 241 faculty, residents, and students were surveyed with an overall response rate of 73%. The predominant learning style of the medical students was assimilating and this was statistically significant (p Conclusions We conclude that medical students have a significantly different learning style from general surgical trainees and general surgeons. This has important implications in the education of general surgery residents.

A spatially-supported forced-choice recognition test reveals children’s long-term memory for newly learned word forms

Directory of Open Access Journals (Sweden)

Katherine R. Gordon

2014-03-01

Full Text Available Children’s memories for the link between a newly trained word and its referent have been the focus of extensive past research. However, memory for the word form itself is rarely assessed among preschool-age children. When it is, children are typically asked to verbally recall the forms, and they generally perform at floor on such tests. To better measure children’s memory for word forms, we aimed to design a more sensitive test that required recognition rather than recall, provided spatial cues to off-set the phonological memory demands of the test, and allowed pointing rather than verbal responses. We taught 12 novel word-referent pairs via ostensive naming to sixteen 4-to-6-year-olds and measured their memory for the word forms after a week-long retention interval using the new spatially-supported form recognition test. We also measured their memory for the word-referent links and the generalization of the links to untrained referents with commonly used recognition tests. Children demonstrated memory for word forms at above chance levels; however, their memory for forms was poorer than their memory for trained or generalized word-referent links. When in error, children were no more likely to select a foil that was a close neighbor to the target form than a maximally different foil. Additionally, they more often selected correct forms that were among the first six than the last six to be trained. Overall, these findings suggest that children are able to remember word forms after a limited number of ostensive exposures and a long-term delay. However, word forms remain more difficult to learn than word-referent links and there is an upper limit on the number of forms that can be learned within a given period of time.

Bifurcation analysis on a generalized recurrent neural network with two interconnected three-neuron components

International Nuclear Information System (INIS)

Hajihosseini, Amirhossein; Maleki, Farzaneh; Rokni Lamooki, Gholam Reza

2011-01-01

Highlights: → We construct a recurrent neural network by generalizing a specific n-neuron network. → Several codimension 1 and 2 bifurcations take place in the newly constructed network. → The newly constructed network has higher capabilities to learn periodic signals. → The normal form theorem is applied to investigate dynamics of the network. → A series of bifurcation diagrams is given to support theoretical results. - Abstract: A class of recurrent neural networks is constructed by generalizing a specific class of n-neuron networks. It is shown that the newly constructed network experiences generic pitchfork and Hopf codimension one bifurcations. It is also proved that the emergence of generic Bogdanov-Takens, pitchfork-Hopf and Hopf-Hopf codimension two, and the degenerate Bogdanov-Takens bifurcation points in the parameter space is possible due to the intersections of codimension one bifurcation curves. The occurrence of bifurcations of higher codimensions significantly increases the capability of the newly constructed recurrent neural network to learn broader families of periodic signals.

Learning environment, approaches to learning and learning preferences: medical students versus general education students.

Science.gov (United States)

Ullah, Raza

2016-05-01

The main objective of the study was to see whether medical students use more desirable approaches to studying than general education students. Survey method was used to collect data from both the medical students and the general education students. The survey of the medical students was carried out between January and March, 2012. The survey was administered to all the medical students present in lecture halls on day of data collection, while general education students were randomly selected from four subject areas at two universities. In total, 976 medical students and 912 general students participated in the study. Of the general students, 494(54%) were boys and 418(46%)were girls with an overall mean age of 20.53±1.77 years (range: 17-27 years). The medical students' perceptions of their learning environment and their learning preferences were broadly similar to that of general education students with the exception of workload. The medical students perceived the workload to be less appropriate (Mean = 2.06±0.72) than the students in general education (Mean = 2.84±0.90). The medical students were more likely to use the deep approach to studying (Mean = 3.66±0.59) than the students in general education (Mean = 3.16±0.91). The students in general education were slightly more likely to use the organized studying (Mean = 3.44±0.90) than the medical students (Mean =3.23±0.90). Both medical students and the students in general education tended to use the surface approaches along with other approaches to studying. There was not a great difference between the medical students and the students pursuing general education with regard to perceptions of the learning environment and approaches to learning.

Informal and Formal Learning of General Practitioners

Science.gov (United States)

Spaan, Nadia Roos; Dekker, Anne R. J.; van der Velden, Alike W.; de Groot, Esther

2016-01-01

Purpose: The purpose of this study is to understand the influence of formal learning from a web-based training and informal (workplace) learning afterwards on the behaviour of general practitioners (GPs) with respect to prescription of antibiotics. Design/methodology/approach: To obtain insight in various learning processes, semi-structured…

General Video Game AI: Learning from Screen Capture

OpenAIRE

Kunanusont, Kamolwan; Lucas, Simon M.; Perez-Liebana, Diego

2017-01-01

General Video Game Artificial Intelligence is a general game playing framework for Artificial General Intelligence research in the video-games domain. In this paper, we propose for the first time a screen capture learning agent for General Video Game AI framework. A Deep Q-Network algorithm was applied and improved to develop an agent capable of learning to play different games in the framework. After testing this algorithm using various games of different categories and difficulty levels, th...

Informal and formal learning of general practitioners

NARCIS (Netherlands)

Spaan, Nadia Roos; Dekker, Anne R. J.; van der Velden, Alike W.; de Groot, Esther

2016-01-01

Purpose The purpose of this study is to understand the influence of formal learning from a web-based training and informal (workplace) learning afterwards on the behaviour of general practitioners (GPs) with respect to prescription of antibiotics. Design/methodology/approach To obtain insight in

Gradient descent learning algorithm overview: a general dynamical systems perspective.

Science.gov (United States)

Baldi, P

1995-01-01

Gives a unified treatment of gradient descent learning algorithms for neural networks using a general framework of dynamical systems. This general approach organizes and simplifies all the known algorithms and results which have been originally derived for different problems (fixed point/trajectory learning), for different models (discrete/continuous), for different architectures (forward/recurrent), and using different techniques (backpropagation, variational calculus, adjoint methods, etc.). The general approach can also be applied to derive new algorithms. The author then briefly examines some of the complexity issues and limitations intrinsic to gradient descent learning. Throughout the paper, the author focuses on the problem of trajectory learning.

Logarithmic learning for generalized classifier neural network.

Science.gov (United States)

Ozyildirim, Buse Melis; Avci, Mutlu

2014-12-01

Generalized classifier neural network is introduced as an efficient classifier among the others. Unless the initial smoothing parameter value is close to the optimal one, generalized classifier neural network suffers from convergence problem and requires quite a long time to converge. In this work, to overcome this problem, a logarithmic learning approach is proposed. The proposed method uses logarithmic cost function instead of squared error. Minimization of this cost function reduces the number of iterations used for reaching the minima. The proposed method is tested on 15 different data sets and performance of logarithmic learning generalized classifier neural network is compared with that of standard one. Thanks to operation range of radial basis function included by generalized classifier neural network, proposed logarithmic approach and its derivative has continuous values. This makes it possible to adopt the advantage of logarithmic fast convergence by the proposed learning method. Due to fast convergence ability of logarithmic cost function, training time is maximally decreased to 99.2%. In addition to decrease in training time, classification performance may also be improved till 60%. According to the test results, while the proposed method provides a solution for time requirement problem of generalized classifier neural network, it may also improve the classification accuracy. The proposed method can be considered as an efficient way for reducing the time requirement problem of generalized classifier neural network. Copyright © 2014 Elsevier Ltd. All rights reserved.

Domain-specific and domain-general constraints on word and sequence learning.

Science.gov (United States)

Archibald, Lisa M D; Joanisse, Marc F

2013-02-01

The relative influences of language-related and memory-related constraints on the learning of novel words and sequences were examined by comparing individual differences in performance of children with and without specific deficits in either language or working memory. Children recalled lists of words in a Hebbian learning protocol in which occasional lists repeated, yielding improved recall over the course of the task on the repeated lists. The task involved presentation of pictures of common nouns followed immediately by equivalent presentations of the spoken names. The same participants also completed a paired-associate learning task involving word-picture and nonword-picture pairs. Hebbian learning was observed for all groups. Domain-general working memory constrained immediate recall, whereas language abilities impacted recall in the auditory modality only. In addition, working memory constrained paired-associate learning generally, whereas language abilities disproportionately impacted novel word learning. Overall, all of the learning tasks were highly correlated with domain-general working memory. The learning of nonwords was additionally related to general intelligence, phonological short-term memory, language abilities, and implicit learning. The results suggest that distinct associations between language- and memory-related mechanisms support learning of familiar and unfamiliar phonological forms and sequences.

Stochastic abstract policies: generalizing knowledge to improve reinforcement learning.

Science.gov (United States)

Koga, Marcelo L; Freire, Valdinei; Costa, Anna H R

2015-01-01

Reinforcement learning (RL) enables an agent to learn behavior by acquiring experience through trial-and-error interactions with a dynamic environment. However, knowledge is usually built from scratch and learning to behave may take a long time. Here, we improve the learning performance by leveraging prior knowledge; that is, the learner shows proper behavior from the beginning of a target task, using the knowledge from a set of known, previously solved, source tasks. In this paper, we argue that building stochastic abstract policies that generalize over past experiences is an effective way to provide such improvement and this generalization outperforms the current practice of using a library of policies. We achieve that contributing with a new algorithm, AbsProb-PI-multiple and a framework for transferring knowledge represented as a stochastic abstract policy in new RL tasks. Stochastic abstract policies offer an effective way to encode knowledge because the abstraction they provide not only generalizes solutions but also facilitates extracting the similarities among tasks. We perform experiments in a robotic navigation environment and analyze the agent's behavior throughout the learning process and also assess the transfer ratio for different amounts of source tasks. We compare our method with the transfer of a library of policies, and experiments show that the use of a generalized policy produces better results by more effectively guiding the agent when learning a target task.

Learning general phonological rules from distributional information: a computational model.

Science.gov (United States)

Calamaro, Shira; Jarosz, Gaja

2015-04-01

Phonological rules create alternations in the phonetic realizations of related words. These rules must be learned by infants in order to identify the phonological inventory, the morphological structure, and the lexicon of a language. Recent work proposes a computational model for the learning of one kind of phonological alternation, allophony (Peperkamp, Le Calvez, Nadal, & Dupoux, 2006). This paper extends the model to account for learning of a broader set of phonological alternations and the formalization of these alternations as general rules. In Experiment 1, we apply the original model to new data in Dutch and demonstrate its limitations in learning nonallophonic rules. In Experiment 2, we extend the model to allow it to learn general rules for alternations that apply to a class of segments. In Experiment 3, the model is further extended to allow for generalization by context; we argue that this generalization must be constrained by linguistic principles. Copyright © 2014 Cognitive Science Society, Inc.

Generalized projective synchronization of chaotic systems via adaptive learning control

International Nuclear Information System (INIS)

Yun-Ping, Sun; Jun-Min, Li; Hui-Lin, Wang; Jiang-An, Wang

2010-01-01

In this paper, a learning control approach is applied to the generalized projective synchronisation (GPS) of different chaotic systems with unknown periodically time-varying parameters. Using the Lyapunov–Krasovskii functional stability theory, a differential-difference mixed parametric learning law and an adaptive learning control law are constructed to make the states of two different chaotic systems asymptotically synchronised. The scheme is successfully applied to the generalized projective synchronisation between the Lorenz system and Chen system. Moreover, numerical simulations results are used to verify the effectiveness of the proposed scheme. (general)

Algorithm-Dependent Generalization Bounds for Multi-Task Learning.

Science.gov (United States)

Liu, Tongliang; Tao, Dacheng; Song, Mingli; Maybank, Stephen J

2017-02-01

Often, tasks are collected for multi-task learning (MTL) because they share similar feature structures. Based on this observation, in this paper, we present novel algorithm-dependent generalization bounds for MTL by exploiting the notion of algorithmic stability. We focus on the performance of one particular task and the average performance over multiple tasks by analyzing the generalization ability of a common parameter that is shared in MTL. When focusing on one particular task, with the help of a mild assumption on the feature structures, we interpret the function of the other tasks as a regularizer that produces a specific inductive bias. The algorithm for learning the common parameter, as well as the predictor, is thereby uniformly stable with respect to the domain of the particular task and has a generalization bound with a fast convergence rate of order O(1/n), where n is the sample size of the particular task. When focusing on the average performance over multiple tasks, we prove that a similar inductive bias exists under certain conditions on the feature structures. Thus, the corresponding algorithm for learning the common parameter is also uniformly stable with respect to the domains of the multiple tasks, and its generalization bound is of the order O(1/T), where T is the number of tasks. These theoretical analyses naturally show that the similarity of feature structures in MTL will lead to specific regularizations for predicting, which enables the learning algorithms to generalize fast and correctly from a few examples.

Explaining Compound Generalization in Associative and Causal Learning Through Rational Principles of Dimensional Generalization

Science.gov (United States)

Soto, Fabian A.; Gershman, Samuel J.; Niv, Yael

2014-01-01

How do we apply learning from one situation to a similar, but not identical, situation? The principles governing the extent to which animals and humans generalize what they have learned about certain stimuli to novel compounds containing those stimuli vary depending on a number of factors. Perhaps the best studied among these factors is the type of stimuli used to generate compounds. One prominent hypothesis is that different generalization principles apply depending on whether the stimuli in a compound are similar or dissimilar to each other. However, the results of many experiments cannot be explained by this hypothesis. Here we propose a rational Bayesian theory of compound generalization that uses the notion of consequential regions, first developed in the context of rational theories of multidimensional generalization, to explain the effects of stimulus factors on compound generalization. The model explains a large number of results from the compound generalization literature, including the influence of stimulus modality and spatial contiguity on the summation effect, the lack of influence of stimulus factors on summation with a recovered inhibitor, the effect of spatial position of stimuli on the blocking effect, the asymmetrical generalization decrement in overshadowing and external inhibition, and the conditions leading to a reliable external inhibition effect. By integrating rational theories of compound and dimensional generalization, our model provides the first comprehensive computational account of the effects of stimulus factors on compound generalization, including spatial and temporal contiguity between components, which have posed longstanding problems for rational theories of associative and causal learning. PMID:25090430

Is anxiety more common in school students with newly diagnosed specific learning disabilities? A cross-sectional questionnaire-based study in Mumbai, Maharashtra, India.

Science.gov (United States)

Thakkar, A N; Karande, S; Bala, N; Sant, H; Gogtay, N J; Sholapurwala, R

2016-01-01

School students with specific learning disabilities (SpLDs) experience chronic academic underachievement and resultant stress. The present study aimed to determine if school students with newly diagnosed SpLD were more likely to have anxiety than their regular peers. The study cases (aged 8-15 years) were recruited from our institute's learning disability clinic. The matched controls were recruited from four schools in Mumbai, Maharashtra, India. Anxiety was measured using the Spence Children's Anxiety Scale (SCAS)-child self-report version questionnaire. Median SCAS scores and the proportion of students with an SCAS score in the "clinical anxiety" range were compared between the groups. SCAS scores were significantly higher in 8-11-year-old learning-disabled male and female students (P anxiety" [24.64% vs. 4.35%, crude odds ratio (OR) = 7.19, 95% confidence interval (CI) 2.91-17.78, P = 0.0001], as compared with the controls regardless of gender, age group, presence of comorbid attention-deficit/hyperactivity disorder (ADHD), or associated medical conditions. A significantly higher proportion of 8-11-year-old learning-disabled students, especially males, were found to have "clinical anxiety" as compared with 12-15-year-old learning-disabled students (crude OR = 4.38, 95% CI 1.94-9.92, P = 0.0004). Gender, presence of comorbid ADHD or associated medical conditions, and type of school attended or curriculum did not impact the prevalence of "clinical anxiety" in learning-disabled students. Students with newly diagnosed SpLD have greater odds of being "clinically anxious" relative to their regular peers. We recommend screening for anxiety in children with SpLD immediately after diagnosis so that their optimum rehabilitation can be facilitated.

Relationship between motivational goal orientations, perceptions of general education classroom learning environment, and deep approaches to learning

OpenAIRE

Chanut Poondej; Thanita Lerdpornkulrat

2016-01-01

Researchers have reported empirical evidence that the deep approaches to learning account for significant successful learning. The present study aimed to investigate the relationship between students' motivational goal orientation, their perceptions of the general education classroom learning environment, and deep approaches to learning strategies. Participants (N = 494) were first- and second-year college students enrolled in any of the general education courses in higher education in Thaila...

Sleep restores loss of generalized but not rote learning of synthetic speech.

Science.gov (United States)

Fenn, Kimberly M; Margoliash, Daniel; Nusbaum, Howard C

2013-09-01

Sleep-dependent consolidation has been demonstrated for declarative and procedural memory but few theories of consolidation distinguish between rote and generalized learning, suggesting similar consolidation should occur for both. However, studies using rote and generalized learning have suggested different patterns of consolidation may occur, although different tasks have been used across studies. Here we directly compared consolidation of rote and generalized learning using a single speech identification task. Training on a large set of novel stimuli resulted in substantial generalized learning, and sleep restored performance that had degraded after 12 waking hours. Training on a small set of repeated stimuli primarily resulted in rote learning and performance also degraded after 12 waking hours but was not restored by sleep. Moreover performance was significantly worse 24-h after rote training. Our results suggest a functional dissociation between the mechanisms of consolidation for rote and generalized learning which has broad implications for memory models. Copyright © 2013 Elsevier B.V. All rights reserved.

Generalization of perceptual and motor learning: a causal link with memory encoding and consolidation?

Science.gov (United States)

Censor, N

2013-10-10

In both perceptual and motor learning, numerous studies have shown specificity of learning to the trained eye or hand and to the physical features of the task. However, generalization of learning is possible in both perceptual and motor domains. Here, I review evidence for perceptual and motor learning generalization, suggesting that generalization patterns are affected by the way in which the original memory is encoded and consolidated. Generalization may be facilitated during fast learning, with possible engagement of higher-order brain areas recurrently interacting with the primary visual or motor cortices encoding the stimuli or movements' memories. Such generalization may be supported by sleep, involving functional interactions between low and higher-order brain areas. Repeated exposure to the task may alter generalization patterns of learning and overall offline learning. Development of unifying frameworks across learning modalities and better understanding of the conditions under which learning can generalize may enable to gain insight regarding the neural mechanisms underlying procedural learning and have useful clinical implications. Copyright © 2013 IBRO. Published by Elsevier Ltd. All rights reserved.

How has my learning enabled me to create and share an animated video to assist newly qualified teachers in the creation of a safe critical space for their students?

OpenAIRE

Gallagher, Emma

2011-01-01

This paper presents my emergent living theory as it developed while I attempted to address my concern “How has my learning enabled me to create and share an animated video to assist Newly Qualified Teachers in the creation of a safe critical space for their students?” I explore how my learning on the Masters in Education and Training Management (e-learning) has affected me both personally and professionally and how my learning has impacted the learning of others. In particular, I look at t...

An appraisal of the learning curve in robotic general surgery.

Science.gov (United States)

Pernar, Luise I M; Robertson, Faith C; Tavakkoli, Ali; Sheu, Eric G; Brooks, David C; Smink, Douglas S

2017-11-01

Robotic-assisted surgery is used with increasing frequency in general surgery for a variety of applications. In spite of this increase in usage, the learning curve is not yet defined. This study reviews the literature on the learning curve in robotic general surgery to inform adopters of the technology. PubMed and EMBASE searches yielded 3690 abstracts published between July 1986 and March 2016. The abstracts were evaluated based on the following inclusion criteria: written in English, reporting original work, focus on general surgery operations, and with explicit statistical methods. Twenty-six full-length articles were included in final analysis. The articles described the learning curves in colorectal (9 articles, 35%), foregut/bariatric (8, 31%), biliary (5, 19%), and solid organ (4, 15%) surgery. Eighteen of 26 (69%) articles report single-surgeon experiences. Time was used as a measure of the learning curve in all studies (100%); outcomes were examined in 10 (38%). In 12 studies (46%), the authors identified three phases of the learning curve. Numbers of cases needed to achieve plateau performance were wide-ranging but overlapping for different kinds of operations: 19-128 cases for colorectal, 8-95 for foregut/bariatric, 20-48 for biliary, and 10-80 for solid organ surgery. Although robotic surgery is increasingly utilized in general surgery, the literature provides few guidelines on the learning curve for adoption. In this heterogeneous sample of reviewed articles, the number of cases needed to achieve plateau performance varies by case type and the learning curve may have multiple phases as surgeons add more complex cases to their case mix with growing experience. Time is the most common determinant for the learning curve. The literature lacks a uniform assessment of outcomes and complications, which would arguably reflect expertise in a more meaningful way than time to perform the operation alone.

General informatics teaching with B-Learning teaching model

Directory of Open Access Journals (Sweden)

Nguyen The Dung

2018-03-01

Full Text Available Blended learning (B-learning, a combination of face-to-face teaching and E-learning-supported-teaching in an online course, and Information and Communication Technology (ICT tools have been studied in recent years. In addition, the use of this teaching model is effective in teaching and learning conditions in which some certain subjects are appropriate for the specific teaching context. As it has been a matter of concern of the universities in Vietnam today, deep studies related to this topic is crucial to be conducted. In this article, the process of developing online courses and organizing teaching for the General Informatics subject for first-year students at the Hue University of Education with B-learning teaching model will be presented. The combination of 60% face-to-face and 40% online learning.

Design and validation of general biology learning program based on scientific inquiry skills

Science.gov (United States)

Cahyani, R.; Mardiana, D.; Noviantoro, N.

2018-03-01

Scientific inquiry is highly recommended to teach science. The reality in the schools and colleges is that many educators still have not implemented inquiry learning because of their lack of understanding. The study aims to1) analyze students’ difficulties in learning General Biology, 2) design General Biology learning program based on multimedia-assisted scientific inquiry learning, and 3) validate the proposed design. The method used was Research and Development. The subjects of the study were 27 pre-service students of general elementary school/Islamic elementary schools. The workflow of program design includes identifying learning difficulties of General Biology, designing course programs, and designing instruments and assessment rubrics. The program design is made for four lecture sessions. Validation of all learning tools were performed by expert judge. The results showed that: 1) there are some problems identified in General Biology lectures; 2) the designed products include learning programs, multimedia characteristics, worksheet characteristics, and, scientific attitudes; and 3) expert validation shows that all program designs are valid and can be used with minor revisions. The first section in your paper.

Contingency learning deficits and generalization in chronic unilateral hand pain patients.

Science.gov (United States)

Meulders, Ann; Harvie, Daniel S; Bowering, Jane K; Caragianis, Suzanne; Vlaeyen, Johan W S; Moseley, G Lorimer

2014-10-01

Contingency learning, in particular the formation of danger beliefs, underpins conditioned fear and avoidance behavior, yet equally important is the formation of safety beliefs. That is, when threat beliefs and accompanying fear/avoidance spread to technically safe cues, it might cause disability. Indeed, such over generalization has been advanced as a trans-diagnostic pathologic marker, but it has not been investigated in chronic pain. Using a novel hand pain scenario contingency learning task, we tested the hypotheses that chronic hand pain patients demonstrate less differential pain expectancy judgments because of poor safety learning and demonstrate broader generalization gradients than healthy controls. Participants viewed digitized 3-dimensional hands in different postures presented in random order (conditioned stimulus [CS]) and rated the likelihood that a fictive patient would feel pain when moving the hand into that posture. Subsequently, the outcome (pain/no pain) was presented on the screen. One hand posture was followed by pain (CS+), another was not (CS-). Generalization was tested using novel hand postures (generalization stimuli) that varied in how similar they were to the original conditioned stimuli. Patients, but not healthy controls, demonstrated a contingency learning deficit determined by impaired safety learning, but not by exaggerated pain expectancy toward the CS+. Patients showed flatter, asymmetric generalization gradients than the healthy controls did, with higher pain expectancy for novel postures that were more similar to the original CS-. The results clearly uphold our hypotheses and suggest that contingency learning deficits might be important in the development and maintenance of the chronic pain-related disability. Chronic hand pain patients demonstrate 1) reduced differential contingency learning determined by a lack of safety belief formation, but not by exaggerated threat belief formation, and 2) flatter, asymmetric

An Investigative, Cooperative Learning Approach to the General Microbiology Laboratory

Science.gov (United States)

Seifert, Kyle; Fenster, Amy; Dilts, Judith A.; Temple, Louise

2009-01-01

Investigative- and cooperative-based learning strategies have been used effectively in a variety of classrooms to enhance student learning and engagement. In the General Microbiology laboratory for juniors and seniors at James Madison University, these strategies were combined to make a semester-long, investigative, cooperative learning experience…

Is anxiety more common in school students with newly diagnosed specific learning disabilities? A cross-sectional questionnaire-based study in Mumbai, Maharashtra, India

Directory of Open Access Journals (Sweden)

A N Thakkar

2016-01-01

Full Text Available Background and Objectives: School students with specific learning disabilities (SpLDs experience chronic academic underachievement and resultant stress. The present study aimed to determine if school students with newly diagnosed SpLD were more likely to have anxiety than their regular peers. Materials and Methods: The study cases (aged 8-15 years were recruited from our institute′s learning disability clinic. The matched controls were recruited from four schools in Mumbai, Maharashtra, India. Anxiety was measured using the Spence Children′s Anxiety Scale (SCAS-child self-report version questionnaire. Median SCAS scores and the proportion of students with an SCAS score in the "clinical anxiety" range were compared between the groups. Results: SCAS scores were significantly higher in 8-11-year-old learning-disabled male and female students (P < 0.0001 for both groups and 12-15-year-old female students (P = 0.004, as compared with matched controls. A significantly higher number of learning-disabled students were found to have "clinical anxiety" [24.64% vs 4.35%, crude odds ratio (OR = 7.19, 95% confidence interval (CI 2.91-17.78, P = 0.0001], as compared with the controls regardless of gender, age group, presence of comorbid attention-deficit/hyperactivity disorder (ADHD, or associated medical conditions. A significantly higher proportion of 8-11-year-old learning-disabled students, especially males, were found to have "clinical anxiety" as compared with 12-15-year-old learning-disabled students (crude OR = 4.38, 95% CI 1.94-9.92, P = 0.0004. Gender, presence of comorbid ADHD or associated medical conditions, and type of school attended or curriculum did not impact the prevalence of "clinical anxiety" in learning-disabled students. Interpretation and Conclusions: Students with newly diagnosed SpLD have greater odds of being "clinically anxious" relative to their regular peers. We recommend screening for anxiety in children with Sp

Attitudes of newly qualified doctors towards a career in general practice: a qualitative focus group study.

Science.gov (United States)

Merrett, Alexandra; Jones, Daniel; Sein, Kim; Green, Trish; Macleod, Una

2017-04-01

A key element of the NHS is universal access to a GP. Recently, UK general practice has been described as being in crisis, with training places unfilled and multiple practices reporting vacancies or facing closure. The recruitment of GPs continues to be a key focus for both the Royal College of General Practitioners (RCGP) and the government. To understand the attitudes of newly qualified doctors towards a career in general practice, to appreciate potential reasons for the crisis in GP recruitment, and to recommend ways to improve recruitment. A qualitative study comprising five focus groups with 74 Foundation Year 1 (FY1) doctors from one Yorkshire deanery. Audio recordings were transcribed verbatim and thematic analysis undertaken. Foundation Year 1 doctors' thoughts towards a career in general practice were summarised in four themes: quality of life, job satisfaction, uncertainty surrounding the future of general practice, and the lack of respect for GPs among both doctors and the public. Participants felt that general practice could provide a good work-life balance, fair pay, and job stability. Job satisfaction, with the ability to provide care from the cradle to the grave, and to work within a community, was viewed positively. Uncertainties around future training, skill levels, pay, and workload, together with a perceived stigma experienced in medical schools and hospitals, were viewed as a deterrent to a career in general practice. This study has gathered the opinions of doctors at a critical point in their careers, before they choose a future specialty. Findings highlight areas of concern and potential deterrents to a career in general practice, together with recommendations to address these issues. © British Journal of General Practice 2017.

Development and Assessment of Service Learning Projects in General Biology

Science.gov (United States)

Felzien, Lisa; Salem, Laura

2008-01-01

Service learning involves providing service to the community while requiring students to meet learning goals in a specific course. A service learning project was implemented in a general biology course at Rockhurst University to involve students in promoting scientific education in conjunction with community partner educators. Students were…

Cathodal transcranial direct current stimulation (tDCS) applied to the left premotor cortex (PMC) stabilizes a newly learned motor sequence.

Science.gov (United States)

Focke, Jan; Kemmet, Sylvia; Krause, Vanessa; Keitel, Ariane; Pollok, Bettina

2017-01-01

While the primary motor cortex (M1) is involved in the acquisition the premotor cortex (PMC) has been related to over-night consolidation of a newly learned motor skill. The present study aims at investigating the possible contribution of the left PMC for the stabilization of a motor sequence immediately after acquisition as determined by susceptibility to interference. Thirty six healthy volunteers received anodal, cathodal and sham transcranial direct current stimulation (tDCS) to the left PMC either immediately prior to or during training on a serial reaction time task (SRTT) with the right hand. TDCS was applied for 10min, respectively. Reaction times were measured prior to training (t1), at the end of training (t2), and after presentation of an interfering random pattern (t3). Beyond interference from learning, the random pattern served as control condition in order to estimate general effects of tDCS on reaction times. TDCS applied during SRTT training did not result in any significant effects neither on acquisition nor on susceptibility to interference. In contrast to this, tDCS prior to SRTT training yielded an unspecific facilitation of reaction times at t2 independent of tDCS polarity. At t3, reduced susceptibility to interference was found following cathodal stimulation. The results suggest the involvement of the PMC in early consolidation and reveal a piece of evidence for the hypothesis that behavioral tDCS effects vary with the activation state of the stimulated area. Copyright © 2016. Published by Elsevier B.V.

Learning Theory Estimates with Observations from General Stationary Stochastic Processes.

Science.gov (United States)

Hang, Hanyuan; Feng, Yunlong; Steinwart, Ingo; Suykens, Johan A K

2016-12-01

This letter investigates the supervised learning problem with observations drawn from certain general stationary stochastic processes. Here by general, we mean that many stationary stochastic processes can be included. We show that when the stochastic processes satisfy a generalized Bernstein-type inequality, a unified treatment on analyzing the learning schemes with various mixing processes can be conducted and a sharp oracle inequality for generic regularized empirical risk minimization schemes can be established. The obtained oracle inequality is then applied to derive convergence rates for several learning schemes such as empirical risk minimization (ERM), least squares support vector machines (LS-SVMs) using given generic kernels, and SVMs using gaussian kernels for both least squares and quantile regression. It turns out that for independent and identically distributed (i.i.d.) processes, our learning rates for ERM recover the optimal rates. For non-i.i.d. processes, including geometrically [Formula: see text]-mixing Markov processes, geometrically [Formula: see text]-mixing processes with restricted decay, [Formula: see text]-mixing processes, and (time-reversed) geometrically [Formula: see text]-mixing processes, our learning rates for SVMs with gaussian kernels match, up to some arbitrarily small extra term in the exponent, the optimal rates. For the remaining cases, our rates are at least close to the optimal rates. As a by-product, the assumed generalized Bernstein-type inequality also provides an interpretation of the so-called effective number of observations for various mixing processes.

Phonological learning in semantic dementia.

Science.gov (United States)

Jefferies, Elizabeth; Bott, Samantha; Ehsan, Sheeba; Lambon Ralph, Matthew A

2011-04-01

Patients with semantic dementia (SD) have anterior temporal lobe (ATL) atrophy that gives rise to a highly selective deterioration of semantic knowledge. Despite pronounced anomia and poor comprehension of words and pictures, SD patients have well-formed, fluent speech and normal digit span. Given the intimate connection between phonological STM and word learning revealed by both neuropsychological and developmental studies, SD patients might be expected to show good acquisition of new phonological forms, even though their ability to map these onto meanings is impaired. In contradiction of these predictions, a limited amount of previous research has found poor learning of new phonological forms in SD. In a series of experiments, we examined whether SD patient, GE, could learn novel phonological sequences and, if so, under which circumstances. GE showed normal benefits of phonological knowledge in STM (i.e., normal phonotactic frequency and phonological similarity effects) but reduced support from semantic memory (i.e., poor immediate serial recall for semantically degraded words, characterised by frequent item errors). Next, we demonstrated normal learning of serial order information for repeated lists of single-digit number words using the Hebb paradigm: these items were well-understood allowing them to be repeated without frequent item errors. In contrast, patient GE showed little learning of nonsense syllable sequences using the same Hebb paradigm. Detailed analysis revealed that both GE and the controls showed a tendency to learn their own errors as opposed to the target items. Finally, we showed normal learning of phonological sequences for GE when he was prevented from repeating his errors. These findings confirm that the ATL atrophy in SD disrupts phonological processing for semantically degraded words but leaves the phonological architecture intact. Consequently, when item errors are minimised, phonological STM can support the acquisition of new phoneme

Experimentally Induced Learned Helplessness: How Far Does it Generalize?

Science.gov (United States)

Tuffin, Keith; And Others

1985-01-01

Assessed whether experimentally induced learned helplessness on a cognitive training task generalized to a situationally dissimilar social interaction test task. No significant differences were observed between groups on the subsequent test task, showing that helplessness failed to generalize. (Author/ABB)

Incremental and developmental perspectives for general-purpose learning systems

Directory of Open Access Journals (Sweden)

Fernando Martínez-Plumed

2017-02-01

Full Text Available The stupefying success of Articial Intelligence (AI for specic problems, from recommender systems to self-driving cars, has not yet been matched with a similar progress in general AI systems, coping with a variety of (dierent problems. This dissertation deals with the long-standing problem of creating more general AI systems, through the analysis of their development and the evaluation of their cognitive abilities. It presents a declarative general-purpose learning system and a developmental and lifelong approach for knowledge acquisition, consolidation and forgetting. It also analyses the use of the use of more ability-oriented evaluation techniques for AI evaluation and provides further insight for the understanding of the concepts of development and incremental learning in AI systems.

Learning and generalization from reward and punishment in opioid addiction.

Science.gov (United States)

Myers, Catherine E; Rego, Janice; Haber, Paul; Morley, Kirsten; Beck, Kevin D; Hogarth, Lee; Moustafa, Ahmed A

2017-01-15

This study adapts a widely-used acquired equivalence paradigm to investigate how opioid-addicted individuals learn from positive and negative feedback, and how they generalize this learning. The opioid-addicted group consisted of 33 participants with a history of heroin dependency currently in a methadone maintenance program; the control group consisted of 32 healthy participants without a history of drug addiction. All participants performed a novel variant of the acquired equivalence task, where they learned to map some stimuli to correct outcomes in order to obtain reward, and to map other stimuli to correct outcomes in order to avoid punishment; some stimuli were implicitly "equivalent" in the sense of being paired with the same outcome. On the initial training phase, both groups performed similarly on learning to obtain reward, but as memory load grew, the control group outperformed the addicted group on learning to avoid punishment. On a subsequent testing phase, the addicted and control groups performed similarly on retention trials involving previously-trained stimulus-outcome pairs, as well as on generalization trials to assess acquired equivalence. Since prior work with acquired equivalence tasks has associated stimulus-outcome learning with the nigrostriatal dopamine system, and generalization with the hippocampal region, the current results are consistent with basal ganglia dysfunction in the opioid-addicted patients. Further, a selective deficit in learning from punishment could contribute to processes by which addicted individuals continue to pursue drug use even at the cost of negative consequences such as loss of income and the opportunity to engage in other life activities. Published by Elsevier B.V.

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.

Quality of life of parents of children with newly diagnosed specific learning disability

Directory of Open Access Journals (Sweden)

Karande S

2009-01-01

Full Text Available Background: Poor school performance in children causes significant stress to parents. Aims: To analyze the quality of life (QOL of parents having a child with newly diagnosed specific learning disability (SpLD and to evaluate the impact of clinical and socio-demographic characteristics on their QOL. Design: Cross-sectional questionnaire-based study. Setting: Learning disability clinic in tertiary care hospital. Materials and Methods: From June 2006 to February 2007, 150 parents (either mother or father of children consecutively diagnosed as having SpLD were enrolled. Parent′s QOL was measured by the WHOQOL-100 instrument which is a generic instrument containing 25 facets of QOL organized in six domains. Statistical Analysis Used: Independent samples t-test, one-way analysis of variance, and multiple regression analysis were carried out for statistical significance. Results: Mean age of parents was 42.6 years (SD 5.5; mothers to fathers ratio 1.3:1; and 19 (12.7% were currently ill. Only four WHOQOL-100 domains (psychological > social relationships > environment > spiritual and five WHOQOL-100 facets (leisur > pfeel > energy > esteem > sex contributed significantly to their "overall" QOL. Female gender, being currently ill, being in paid work, and having a male child were characteristics that independently predicted a poor domain/facet QOL score. Conclusions: The present study has identified domains and facets that need to be addressed by counselors for improving overall QOL of these parents. Initiating these measures would also improve the home environment and help in the rehabilitation of children with SpLD.

Self-Perception of Readiness to Learn and Self-Efficacy among Nursing Students in an Online Baccalaureate (BSN) Program

Science.gov (United States)

Cadet, Myriam Jean

2016-01-01

This study investigated the relationship between readiness to learn and self-efficacy among newly enrolled BSN students in an online program. A sample of 27 students completed the 45-item Test of Online Learning Success (ToOLS) and 10-item General Self Efficacy (GSE) scales via Survey Monkey. Knowles' (1980) adult learning theory and Bandura's…

How do practising clinicians and students apply newly learned causal information about mental disorders?

Science.gov (United States)

de Kwaadsteniet, Leontien; Kim, Nancy S; Yopchick, Jennelle E

2013-02-01

New causal theories explaining the aetiology of psychiatric disorders continuously appear in the literature. How might such new information directly impact clinical practice, to the degree that clinicians are aware of it and accept it? We investigated whether expert clinical psychologists and students use new causal information about psychiatric disorders according to rationalist norms in their diagnostic reasoning. Specifically, philosophical and Bayesian analyses suggest that it is rational to draw stronger inferences about the presence of a disorder when a client's presenting symptoms are from disparate locations in a causal theory of the disorder than when they are from proximal locations. In a controlled experiment, we presented experienced clinical psychologists and students with recently published causal theories for different disorders; specifically, these theories proposed how the symptoms of each disorder stem from a root cause. Participants viewed hypothetical clients with presenting proximal or diverse symptoms, and indicated either the likelihood that the client has the disorder, or what additional information they would seek out to help inform a diagnostic decision. Clinicians and students alike showed a strong preference for diverse evidence, over proximal evidence, in making diagnostic judgments and in seeking additional information. They did not show this preference in the control condition, in which they gave their own opinions prior to learning the causal information. These findings suggest that experienced clinical psychologists and students are likely to use newly learned causal knowledge in a normative, rational way in diagnostic reasoning. © 2011 Blackwell Publishing Ltd.

Special Education in General Education Classrooms: Cooperative Teaching Using Supportive Learning Activities.

Science.gov (United States)

Johnson, Robin R.; And Others

1995-01-01

Supportive learning activities were implemented in a multiple-baseline time series design across four fifth-grade classrooms to evaluate the effects of a cooperative teaching alternative (supportive learning) on teaching behavior, the behavior and grades of general and special education students, and the opinions of general education teachers.…

Discriminative Transfer Learning for General Image Restoration

KAUST Repository

Xiao, Lei; Heide, Felix; Heidrich, Wolfgang; Schö lkopf, Bernhard; Hirsch, Michael

2018-01-01

Recently, several discriminative learning approaches have been proposed for effective image restoration, achieving convincing trade-off between image quality and computational efficiency. However, these methods require separate training for each restoration task (e.g., denoising, deblurring, demosaicing) and problem condition (e.g., noise level of input images). This makes it time-consuming and difficult to encompass all tasks and conditions during training. In this paper, we propose a discriminative transfer learning method that incorporates formal proximal optimization and discriminative learning for general image restoration. The method requires a single-pass discriminative training and allows for reuse across various problems and conditions while achieving an efficiency comparable to previous discriminative approaches. Furthermore, after being trained, our model can be easily transferred to new likelihood terms to solve untrained tasks, or be combined with existing priors to further improve image restoration quality.

Discriminative Transfer Learning for General Image Restoration

KAUST Repository

Xiao, Lei

2018-04-30

Recently, several discriminative learning approaches have been proposed for effective image restoration, achieving convincing trade-off between image quality and computational efficiency. However, these methods require separate training for each restoration task (e.g., denoising, deblurring, demosaicing) and problem condition (e.g., noise level of input images). This makes it time-consuming and difficult to encompass all tasks and conditions during training. In this paper, we propose a discriminative transfer learning method that incorporates formal proximal optimization and discriminative learning for general image restoration. The method requires a single-pass discriminative training and allows for reuse across various problems and conditions while achieving an efficiency comparable to previous discriminative approaches. Furthermore, after being trained, our model can be easily transferred to new likelihood terms to solve untrained tasks, or be combined with existing priors to further improve image restoration quality.

Learning regularization parameters for general-form Tikhonov

International Nuclear Information System (INIS)

Chung, Julianne; Español, Malena I

2017-01-01

Computing regularization parameters for general-form Tikhonov regularization can be an expensive and difficult task, especially if multiple parameters or many solutions need to be computed in real time. In this work, we assume training data is available and describe an efficient learning approach for computing regularization parameters that can be used for a large set of problems. We consider an empirical Bayes risk minimization framework for finding regularization parameters that minimize average errors for the training data. We first extend methods from Chung et al (2011 SIAM J. Sci. Comput. 33 3132–52) to the general-form Tikhonov problem. Then we develop a learning approach for multi-parameter Tikhonov problems, for the case where all involved matrices are simultaneously diagonalizable. For problems where this is not the case, we describe an approach to compute near-optimal regularization parameters by using operator approximations for the original problem. Finally, we propose a new class of regularizing filters, where solutions correspond to multi-parameter Tikhonov solutions, that requires less data than previously proposed optimal error filters, avoids the generalized SVD, and allows flexibility and novelty in the choice of regularization matrices. Numerical results for 1D and 2D examples using different norms on the errors show the effectiveness of our methods. (paper)

The development and impact of active learning strategies on self-confidence in a newly designed first-year self-care pharmacy course - outcomes and experiences.

Science.gov (United States)

Smith, Kathryn J; Grundmann, Oliver; Li, Robin Moorman

2018-04-01

The primary objective of this investigation was to determine the effectiveness of different active learning exercises in a newly-designed flipped-classroom self-care course in applying newly acquired knowledge of self-care and improving the confidence of first-year pharmacy students to recommend self-care treatments and counsel patients. The early development of these skills is essential for the subsequent Community Introductory Pharmacy Practice Experience (CIPPE). An unpaired anonymous survey was administered to students, pre- and post-course, to ascertain their opinions on the effectiveness of various teaching strategies and active learning exercises on learning and on their confidence in treatment-planning and patient counseling for self-care patients. Comparison between pre- and post-course Likert scores was conducted using a one-way ANOVA followed by a post-hoc Tukey's test with significance at p = 0.05. All other tests of significance were conducted using a student's t-test with significance at p = 0.05. Students' self-confidence in developing treatment plans and in counseling for non-prescription drugs and dietary supplements significantly improved from the beginning to the end of this self-care course. The response rate was high in both the pre- (N = 208, 88.1%) and post- (N = 198, 83.9%) course surveys. The positive change in confidence was not reflected in increased performance on the final exam represented by a lower average score than the midterm exam. Active learning sessions and the flipped classroom approach in this first-year pharmacy self-care course contributed to increased self-confidence in making recommendations and counseling patients on proper use of nonprescription medications and dietary supplements. Copyright © 2017 Elsevier Inc. All rights reserved.

Learning and generalization errors for the 2D binary perceptron

NARCIS (Netherlands)

Klymovskiy, A.

2005-01-01

The statistical mechanics model of the binary perceptron learning is considered. It is proved that under the regularity conditions learning and generalization errors for the binary perceptron with two inputs tend to 0 at the average; the first term of the asymptotics is provided; its behavior with

Generalization of motor learning depends on the history of prior action.

Directory of Open Access Journals (Sweden)

John W Krakauer

2006-10-01

Full Text Available Generalization of motor learning refers to our ability to apply what has been learned in one context to other contexts. When generalization is beneficial, it is termed transfer, and when it is detrimental, it is termed interference. Insight into the mechanism of generalization may be acquired from understanding why training transfers in some contexts but not others. However, identifying relevant contextual cues has proven surprisingly difficult, perhaps because the search has mainly been for cues that are explicit. We hypothesized instead that a relevant contextual cue is an implicit memory of action with a particular body part. To test this hypothesis we considered a task in which participants learned to control motion of a cursor under visuomotor rotation in two contexts: by moving their hand through motion of their shoulder and elbow, or through motion of their wrist. Use of these contextual cues led to three observations: First, in naive participants, learning in the wrist context was much faster than in the arm context. Second, generalization was asymmetric so that arm training benefited subsequent wrist training, but not vice versa. Third, in people who had prior wrist training, generalization from the arm to the wrist was blocked. That is, prior wrist training appeared to prevent both the interference and transfer that subsequent arm training should have caused. To explain the data, we posited that the learner collected statistics of contextual history: all upper arm movements also move the hand, but occasionally we move our hands without moving the upper arm. In a Bayesian framework, history of limb segment use strongly affects parameter uncertainty, which is a measure of the covariance of the contextual cues. This simple Bayesian prior dictated a generalization pattern that largely reproduced all three findings. For motor learning, generalization depends on context, which is determined by the statistics of how we have previously used

The Learning Preferences of Applicants Who Interview for General Surgery Residency: A Multiinstitutional Study.

Science.gov (United States)

Kim, Roger H; Kurtzman, Scott H; Collier, Ashley N; Shabahang, Mohsen M

Learning styles theory posits that learners have distinct preferences for how they assimilate new information. The VARK model categorizes learners based on combinations of 4 learning preferences: visual (V), aural (A), read/write (R), and kinesthetic (K). A previous single institution study demonstrated that the VARK preferences of applicants who interview for general surgery residency are different from that of the general population and that learning preferences were associated with performance on standardized tests. This multiinstitutional study was conducted to determine the distribution of VARK preferences among interviewees for general surgery residency and the effect of those preferences on United States Medical Licensing Examination (USMLE) scores. The VARK learning inventory was administered to applicants who interviewed at 3 general surgery programs during the 2014 to 2015 academic year. The distribution of VARK learning preferences among interviewees was compared with that of the general population of VARK respondents. Performance on USMLE Step 1 and Step 2 Clinical Knowledge was analyzed for associations with VARK learning preferences. Chi-square, analysis of variance, and Dunnett's test were used for statistical analysis, with p learning modality. The distribution of VARK preferences of interviewees was different than that of the general population (p = 0.02). By analysis of variance, there were no overall differences in USMLE Step 1 and Step 2 Clinical Knowledge scores by VARK preference (p = 0.06 and 0.21, respectively). However, multiple comparison analysis using Dunnett's test revealed that interviewees with R preferences had significantly higher scores than those with multimodal preferences on USMLE Step 1 (239 vs. 222, p = 0.02). Applicants who interview for general surgery residency have a different pattern of VARK preferences than that of the general population. Interviewees with preferences for read/write learning modalities have higher scores

Getting connected: Both associative and semantic links structure semantic memory for newly learned persons.

Science.gov (United States)

Wiese, Holger; Schweinberger, Stefan R

2015-01-01

The present study examined whether semantic memory for newly learned people is structured by visual co-occurrence, shared semantics, or both. Participants were trained with pairs of simultaneously presented (i.e., co-occurring) preexperimentally unfamiliar faces, which either did or did not share additionally provided semantic information (occupation, place of living, etc.). Semantic information could also be shared between faces that did not co-occur. A subsequent priming experiment revealed faster responses for both co-occurrence/no shared semantics and no co-occurrence/shared semantics conditions, than for an unrelated condition. Strikingly, priming was strongest in the co-occurrence/shared semantics condition, suggesting additive effects of these factors. Additional analysis of event-related brain potentials yielded priming in the N400 component only for combined effects of visual co-occurrence and shared semantics, with more positive amplitudes in this than in the unrelated condition. Overall, these findings suggest that both semantic relatedness and visual co-occurrence are important when novel information is integrated into person-related semantic memory.

Newly identified psychiatric illness in one general practice: 12-month outcome and the influence of patients' personality.

Science.gov (United States)

Wright, A F; Anderson, A J

1995-01-01

BACKGROUND. Relatively little is known about the natural history and outcome of psychological problems in patients who present to general practitioners. Only a small proportion of such patients are seen by specialists. Clinical experience suggests that patient personality is one of the factors influencing outcome in patients diagnosed as having psychiatric illness. AIM. This study set out to examine prospectively the progress and 12-month outcome of patients with newly identified psychiatric illness, and the association of patients' personality with outcome. METHOD. One hundred and seventy one patients with clinically significant psychiatric illness attending one practice in a Scottish new town were followed up prospectively (96 presented with psychological symptoms and 75 with somatic symptoms), and were compared with a group of 127 patients with chronic physical illness. Patients were assessed in terms of psychiatric state, social problems and personality using both computer-based and pencil and paper tests in addition to clinical assessments at each consultation during the follow-up year and structured interview one year after recruitment. RESULTS. Most of the improvement in psychiatric state scores on the 28-item general health questionnaire occurred in the first six months of the illness. Of the 171 patients with psychiatric illness 34% improved quickly and remained well, 54% had an intermittent course but had improved at 12-month follow up while 12% pursued a chronic course without improvement. The mean number of consultations in the follow-up year was 8.4 for patients presenting with psychological symptoms, 7.2 for those presenting with somatic symptoms and 6.6 for patients with chronic physical illness. The Eysenck N score proved a strong predictor of the outcome of new psychiatric illness. CONCLUSION. Only one in three patients with newly identified psychiatric illness improved quickly and and remained well, reflecting the importance of continuing care of

Being a team leader: newly registered nurses relate their experiences.

Science.gov (United States)

Ekström, Louise; Idvall, Ewa

2015-01-01

This paper presents a study that explores how newly qualified registered nurses experience their leadership role in the ward-based nursing care team. A nurse's clinical leadership affects the quality of care provided. Newly qualified nurses experience difficulties during the transition period from student to qualified professional and find it challenging to lead nursing care. Twelve nurses were interviewed and the transcribed texts analysed using qualitative content analysis to assess both manifest and latent content. Five themes were identified: feeling stranded; forming well-functioning teams; learning to lead; having the courage, strength, and desire to lead; and ensuring appropriate care. The findings indicate that many factors limit nurses' leadership but some circumstances are supportive. The leadership prerequisites for newly registered nurses need to improve, emphasizing different ways to create a supportive atmosphere that promotes professional development and job satisfaction. To increase nurse retention and promote quality of care, nurse managers need to clarify expectations and guide and support newly qualified nurses in a planned way. © 2013 John Wiley & Sons Ltd.

Low attendance at structured education for people with newly diagnosed type 2 diabetes: General practice characteristics and individual patient factors predict uptake.

Science.gov (United States)

Winkley, Kirsty; Stahl, Daniel; Chamley, Mark; Stopford, Rosanna; Boughdady, Monica; Thomas, Stephen; Amiel, Stephanie A; Forbes, Angus; Ismail, Khalida

2016-01-01

The aims were to determine the association between individual and neighbourhood factors and attendance at structured education amongst people with newly diagnosed type 2 diabetes (T2DM). Multi-level analysis of questionnaire data from a prospective cohort of adults newly diagnosed T2DM. Setting was primary care, London, UK. Main outcome was attendance at structured education within 2 years. Of 1790 people recruited, attendance data were available for 1626 (91%). Only 22.4% (n=365/1626) attended education. Attendance was independently associated with female gender (OR 1.28, 95% CI 1.05-1.46), lower HbA1c (OR 0.98 mmol/mol 95% CI 0.97-0.99) and non-smoker status (OR 1.36, 95% CI 1.07-1.55). General practice covariates, achievement of primary care targets for glycaemic control (OR 1.05, 95% C.I. 1.01-1.08) and recording of retinal screening (OR 0.96, 95% C.I. 0.93-0.99) were independently associated with attendance but unexplained general practice clustering accounted for 17% of the variance. Education uptake is low amongst people with new onset T2DM. Attenders are more likely to be female, non-smokers with better HbA1c. General practices achieving glycaemic targets are more likely to have patients who attend education. Strategies are needed to improve attendance at structured diabetes education particularly amongst hard to reach groups. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Learning strategies and general cognitive ability as predictors of gender- specific academic achievement.

Science.gov (United States)

Ruffing, Stephanie; Wach, F-Sophie; Spinath, Frank M; Brünken, Roland; Karbach, Julia

2015-01-01

Recent research has revealed that learning behavior is associated with academic achievement at the college level, but the impact of specific learning strategies on academic success as well as gender differences therein are still not clear. Therefore, the aim of this study was to investigate gender differences in the incremental contribution of learning strategies over general cognitive ability in the prediction of academic achievement. The relationship between these variables was examined by correlation analyses. A set of t-tests was used to test for gender differences in learning strategies, whereas structural equation modeling as well as multi-group analyses were applied to investigate the incremental contribution of learning strategies for male and female students' academic performance. The sample consisted of 461 students (mean age = 21.2 years, SD = 3.2). Correlation analyses revealed that general cognitive ability as well as the learning strategies effort, attention, and learning environment were positively correlated with academic achievement. Gender differences were found in the reported application of many learning strategies. Importantly, the prediction of achievement in structural equation modeling revealed that only effort explained incremental variance (10%) over general cognitive ability. Results of multi-group analyses showed no gender differences in this prediction model. This finding provides further knowledge regarding gender differences in learning research and the specific role of learning strategies for academic achievement. The incremental assessment of learning strategy use as well as gender-differences in their predictive value contributes to the understanding and improvement of successful academic development.

What Should General Practice Trainees Learn about Atopic Eczema?

Directory of Open Access Journals (Sweden)

Deepani Munidasa

2015-02-01

Full Text Available Effective atopic eczema (AE control not only improves quality of life but may also prevent the atopic march. The Royal College of General Practitioners’ (RCGP curriculum does not currently provide specific learning outcomes on AE management. We aimed to gain consensus on learning outcomes to inform curriculum development. A modified Delphi method was used with questionnaires distributed to gather the views of a range of health care professionals (HCPs including general practitioners (GPs, dermatologists, dermatology nurses and parents of children with AE attending a dedicated paediatric dermatology clinic. Ninety-one questionnaires were distributed to 61 HCPs and 30 parents; 81 were returned. All agreed that learning should focus on the common clinical features, complications and management of AE and the need to appreciate its psychosocial impact. Areas of divergence included knowledge of alternative therapies. Parents felt GPs should better understand how to identify, manage and refer severe AD and recognized the value of the specialist eczema nurse. Dermatologists and parents highlighted inconsistencies in advice regarding topical steroids. This study identifies important areas for inclusion as learning outcomes on AE management in the RCGP curriculum and highlights the importance of patients and parents as a valuable resource in the development of medical education.

Relationship between Motivation for Learning EFL and Intrinsic Motivation for Learning in General among Japanese Elementary School Students

Science.gov (United States)

Carreira, Junko Matsuzaki

2011-01-01

This study investigated children's motivation for learning English as a foreign language (EFL) and intrinsic motivation for learning in general. The participants were 268 third-sixth graders in a public school in Japan. Data were collected using two questionnaires, one measuring motivation for learning EFL and the other investigating intrinsic…

Learning in neural networks based on a generalized fluctuation theorem

Science.gov (United States)

Hayakawa, Takashi; Aoyagi, Toshio

2015-11-01

Information maximization has been investigated as a possible mechanism of learning governing the self-organization that occurs within the neural systems of animals. Within the general context of models of neural systems bidirectionally interacting with environments, however, the role of information maximization remains to be elucidated. For bidirectionally interacting physical systems, universal laws describing the fluctuation they exhibit and the information they possess have recently been discovered. These laws are termed fluctuation theorems. In the present study, we formulate a theory of learning in neural networks bidirectionally interacting with environments based on the principle of information maximization. Our formulation begins with the introduction of a generalized fluctuation theorem, employing an interpretation appropriate for the present application, which differs from the original thermodynamic interpretation. We analytically and numerically demonstrate that the learning mechanism presented in our theory allows neural networks to efficiently explore their environments and optimally encode information about them.

General Information about Learning Disabilities (Fact Sheet Number 7) = Informacion General sobre Impedimentos en el Aprendizaje (Fact Sheet Number 19).

Science.gov (United States)

Interstate Research Associates, Inc., Washington, DC.

This fact sheet providing general information about learning disabilities is presented in both English and Spanish versions. It begins with the federal definition of learning disabilities and a discussion of its implications followed by estimates of incidence. Typical characteristics of students with learning disabilities are then summarized as…

The lived experience of newly qualified radiographers (1950-1985): An oral history of radiography

International Nuclear Information System (INIS)

Decker, Sola

2009-01-01

The preparedness for practice of newly qualified healthcare professionals (including radiographers) has been the focus of attention in recent years as the practice environment continues to place great demands on its workforce. This paper reports an aspect of the findings from an oral history project on the career history of radiographers conducted as an academic research investigating the changes that have occurred in radiography and the impact these have had on the profession and the practice of radiography. The main focus of this paper is the lived experience of the informants of the oral history project as newly qualified radiographers. The findings are discussed in the context of current practice environment and developments in radiography. Analysis of the textual materials generated from informants' oral historical accounts, suggest radiographers trained in this time frame perceived their training as 'fit for purpose. The findings further suggest there is a general norm of 'get-on-with-it' as a coping strategy which is still prevalent in the profession today. The paper concludes by drawing on lessons that can be learned from the lived experiences of radiographers' oral historical accounts.

Problem-Based Learning in a General Psychology Course.

Science.gov (United States)

Willis, Sandra A.

2002-01-01

Describes the adoption of problem-based learning (PBL) techniques in a general psychology course. States that the instructor used a combination of techniques, including think-pair-share, lecture/discussion, and PBL. Notes means and standard deviations for graded components of PBL format versus lecture/discussion format. (Contains 18 references.)…

Computer use changes generalization of movement learning.

Science.gov (United States)

Wei, Kunlin; Yan, Xiang; Kong, Gaiqing; Yin, Cong; Zhang, Fan; Wang, Qining; Kording, Konrad Paul

2014-01-06

Over the past few decades, one of the most salient lifestyle changes for us has been the use of computers. For many of us, manual interaction with a computer occupies a large portion of our working time. Through neural plasticity, this extensive movement training should change our representation of movements (e.g., [1-3]), just like search engines affect memory [4]. However, how computer use affects motor learning is largely understudied. Additionally, as virtually all participants in studies of perception and actions are computer users, a legitimate question is whether insights from these studies bear the signature of computer-use experience. We compared non-computer users with age- and education-matched computer users in standard motor learning experiments. We found that people learned equally fast but that non-computer users generalized significantly less across space, a difference negated by two weeks of intensive computer training. Our findings suggest that computer-use experience shaped our basic sensorimotor behaviors, and this influence should be considered whenever computer users are recruited as study participants. Copyright © 2014 Elsevier Ltd. All rights reserved.

Newly qualified teachers´ possibilities to get foothold in a lifelong career course

DEFF Research Database (Denmark)

Krøjgaard, Frede; Frederiksen, Lisbeth Angela Lunde

Keyword: Induction program, newly qualified teachers, NQT, retention, professional development In Contrary to many other countries in Europe Denmark does not have any kind of national program regarding teacher induction program (TIP) or support in general to newly qualified teachers what so ever...

Vertical Integration in Teaching And Learning (VITAL): an approach to medical education in general practice.

Science.gov (United States)

Dick, Marie-Louise B; King, David B; Mitchell, Geoffrey K; Kelly, Glynn D; Buckley, John F; Garside, Susan J

2007-07-16

There is increasing demand to provide clinical and teaching experiences in the general practice setting. Vertical integration in teaching and learning, whereby teaching and learning roles are shared across all learner stages, has the potential to decrease time demands and stress on general practitioners, to provide teaching skills and experience to GP registrars, and to improve the learning experience for medical students, and may also help meet the increased demand for teaching in general practice. We consider potential advantages and barriers to vertical integration of teaching in general practice, and provide results of focus group discussions with general practice principals and registrars about vertical integration. We recommend further research into the feasibility of using vertical integration to enhance the capacity to teach medical students in general practice.

Generalization bounds of ERM-based learning processes for continuous-time Markov chains.

Science.gov (United States)

Zhang, Chao; Tao, Dacheng

2012-12-01

Many existing results on statistical learning theory are based on the assumption that samples are independently and identically distributed (i.i.d.). However, the assumption of i.i.d. samples is not suitable for practical application to problems in which samples are time dependent. In this paper, we are mainly concerned with the empirical risk minimization (ERM) based learning process for time-dependent samples drawn from a continuous-time Markov chain. This learning process covers many kinds of practical applications, e.g., the prediction for a time series and the estimation of channel state information. Thus, it is significant to study its theoretical properties including the generalization bound, the asymptotic convergence, and the rate of convergence. It is noteworthy that, since samples are time dependent in this learning process, the concerns of this paper cannot (at least straightforwardly) be addressed by existing methods developed under the sample i.i.d. assumption. We first develop a deviation inequality for a sequence of time-dependent samples drawn from a continuous-time Markov chain and present a symmetrization inequality for such a sequence. By using the resultant deviation inequality and symmetrization inequality, we then obtain the generalization bounds of the ERM-based learning process for time-dependent samples drawn from a continuous-time Markov chain. Finally, based on the resultant generalization bounds, we analyze the asymptotic convergence and the rate of convergence of the learning process.

Perceptions of the clinical competence of newly registered nurses in the North West province

Directory of Open Access Journals (Sweden)

M.R. Moeti

2004-09-01

Full Text Available The clinical competence of newly registered nurses relating to the care of individual Clients, depends on their ability to correlate theoretical knowledge learned in the classroom with practice and the development of clinical skills. Its foundation lies in the ability to identify and solve problems that emanate from critical thinking, analytical reasoning and reflective practice. It is clear that the quality of clinical exposure plays a leading role in the development of nursing professionals. Nursing skills alone cannot ensure quality care of clients without the application of theory. Facilitation of this theory to practice therefore remains an essential component of nursing education. This study was aimed at identifying areas of incompetence of newly registered nurses (1998- 2001 in the clinical area by determining the newly registered nurses1 and professional nurses1 perceptions of the competence of the newly registered nurses. A quantitative, non-experimental, descriptive survey was used to collect the data regarding the clinical competence of newly registered nurses (1998-2001.

Diffusion of an e-learning programme among Danish General Practitioners: A nation-wide prospective survey

Directory of Open Access Journals (Sweden)

Nielsen Bente

2008-04-01

Full Text Available Abstract Background We were unable to identify studies that have considered the diffusion of an e-learning programme among a large population of general practitioners. The aim of this study was to investigate the uptake of an e-learning programme introduced to General Practitioners as part of a nation-wide disseminated dementia guideline. Methods A prospective study among all 3632 Danish GPs. The GPs were followed from the launching of the e-learning programme in November 2006 and 6 months forward. Main outcome measures: Use of the e-learning programme. A logistic regression model (GEE was used to identify predictors for use of the e-learning programme. Results In the study period, a total of 192 different GPs (5.3% were identified as users, and 17% (32 had at least one re-logon. Among responders at first login most have learnt about the e-learning programme from written material (41% or from the internet (44%. A total of 94% of the users described their ability of conducting a diagnostic evaluation as good or excellent. Most of the respondents used the e-learning programme due to general interest (90%. Predictors for using the e-learning programme were Males (OR = 1.4, 95% CI 1.1; 2.0 and members of Danish College of General Practice (OR = 2.2, 95% CI 1.5; 3.1, whereas age, experience and working place did not seem to be influential. Conclusion Only few Danish GPs used the e-learning programme in the first 6 months after the launching. Those using it were more often males and members of Danish College of General Practice. Based on this study we conclude, that an active implementation is needed, also when considering electronic formats of CME like e-learning. Trial Registration ClinicalTrials.gov Identifier: NCT00392483.

Machine Learning Classification of Buildings for Map Generalization

Directory of Open Access Journals (Sweden)

Jaeeun Lee

2017-10-01

Full Text Available A critical problem in mapping data is the frequent updating of large data sets. To solve this problem, the updating of small-scale data based on large-scale data is very effective. Various map generalization techniques, such as simplification, displacement, typification, elimination, and aggregation, must therefore be applied. In this study, we focused on the elimination and aggregation of the building layer, for which each building in a large scale was classified as “0-eliminated,” “1-retained,” or “2-aggregated.” Machine-learning classification algorithms were then used for classifying the buildings. The data of 1:1000 scale and 1:25,000 scale digital maps obtained from the National Geographic Information Institute were used. We applied to these data various machine-learning classification algorithms, including naive Bayes (NB, decision tree (DT, k-nearest neighbor (k-NN, and support vector machine (SVM. The overall accuracies of each algorithm were satisfactory: DT, 88.96%; k-NN, 88.27%; SVM, 87.57%; and NB, 79.50%. Although elimination is a direct part of the proposed process, generalization operations, such as simplification and aggregation of polygons, must still be performed for buildings classified as retained and aggregated. Thus, these algorithms can be used for building classification and can serve as preparatory steps for building generalization.

Stress and stressors in the clinical environment: a comparative study of fourth-year student nurses and newly qualified general nurses in Ireland.

Science.gov (United States)

Suresh, Patricia; Matthews, Anne; Coyne, Imelda

2013-03-01

To measure and compare the perceived levels of job-related stress and stressors of newly qualified nurses and fourth-year student nurses in the clinical environment and to explore the participants' views on stress and stressors. Stress in the nursing workplace has significant consequences for the person, the patient and the organisation, such as psychological and physical health deterioration and impaired professional practice. To address this problem, stress and stressors need to be measured and identified. This study used a cross-sectional survey design and self-reporting questionnaires to measure and compare levels of stress in both groups. Convenience sampling involved all newly qualified nurses (n = 120) and fourth-year student nurses (n = 128) in Dublin North-East region in Ireland. The instrument used was 'The Nursing Stress Scale' (Gray-Toft & Anderson 1981, Journal of Behavioral Assessment 3, 11-23). Descriptive, qualitative analysis was conducted on an open-ended question. Data were obtained from newly qualified nurses (n = 31) and fourth-year student nurses (n = 40) in six acute hospital sites. Levels of perceived stress and stressors were high in both groups. Themes identified from the responses to the open question by both groups included excessive workload, difficult working relationships and unmet clinical learning needs. Student nurses also reported the combination of academic demands with clinical placement as a major stressor. There was no significant difference between each group. Stress continues to be a problem for nurses in the clinical setting. Excessive workload requires urgent attention by hospital managers in view of widespread retention difficulties. Themes identified could provide a framework for possible interventions for improving the clinical environment for nurses. These results can help stakeholders in nurse education and practice to develop interventions to reduce stress for both groups and to ease the transition from student to

Learning with Generalization Capability by Kernel Methods of Bounded Complexity

Czech Academy of Sciences Publication Activity Database

Kůrková, Věra; Sanguineti, M.

2005-01-01

Roč. 21, č. 3 (2005), s. 350-367 ISSN 0885-064X R&D Projects: GA AV ČR 1ET100300419 Institutional research plan: CEZ:AV0Z10300504 Keywords : supervised learning * generalization * model complexity * kernel methods * minimization of regularized empirical errors * upper bounds on rates of approximate optimization Subject RIV: BA - General Mathematics Impact factor: 1.186, year: 2005

Tricks of the trade: time management tips for newly qualified doctors.

Science.gov (United States)

Offiah, Gozie; Doherty, Eva

2018-03-01

The transition from medical student to doctor is an important milestone. The discovery that their time is no longer their own and that the demands of their job are greater than the time they have available is extremely challenging. At a recent surgical boot camp training programme, 60 first-year surgical trainees who had just completed their internship were invited to reflect on the lessons learnt regarding effective time management and to recommend tips for their newly qualified colleagues. They were asked to identify clinical duties that were considered urgent and important using the time management matrix and the common time traps encountered by newly qualified doctors. The surgical trainees identified several practical tips that ranged from writing a priority list to working on relationships within the team. These tips are generic and so applicable to all newly qualified medial doctors. We hope that awareness of these tips from the outset as against learning them through experience will greatly assist newly qualified doctors. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

How do general practice residents use social networking sites in asynchronous distance learning?

Science.gov (United States)

Maisonneuve, Hubert; Chambe, Juliette; Lorenzo, Mathieu; Pelaccia, Thierry

2015-09-21

Blended learning environments - involving both face-to-face and remote interactions - make it easier to adapt learning programs to constraints such as residents' location and low teacher-student ratio. Social networking sites (SNS) such as Facebook®, while not originally intended to be used as learning environments, may be adapted for the distance-learning part of training programs. The purpose of our study was to explore the use of SNS for asynchronous distance learning in a blended learning environment as well as its influence on learners' face-to-face interactions. We conducted a qualitative study and carried out semi-structured interviews. We performed purposeful sampling for maximal variation to include eight general practice residents in 2(nd) and 3(rd) year training. A thematic analysis was performed. The social integration of SNS facilitates the engagement of users in their learning tasks. This may also stimulate students' interactions and group cohesion when members meet up in person. Most of the general practice residents who work in the blended learning environment we studied had a positive appraisal on their use of SNS. In particular, we report a positive impact on their engagement in learning and their participation in discussions during face-to-face instruction. Further studies are needed in order to evaluate the effectiveness of SNS in blended learning environments and the appropriation of SNS by teachers.

Generalizing the order and the parameters of macro-operators by explanation-based learning - Extension of Explanation-Based Learning on Partial Order

International Nuclear Information System (INIS)

Li, Huihua

1992-01-01

The traditional generalization methods such as FIKE's macro-operator learning and Explanation-Based Learning (EBL) deal with totally ordered plans. They generalize only the plan operators and the conditions under which the generalized plan can be applied in its initial total order, but not the partial order among operators in which the generalized plan can be successfully executed. In this paper, we extend the notion of the EBL on the partial order of plans. A new method is presented for learning, from a totally or partially ordered plan, partially ordered macro-operators (generalized plans) each of which requires a set of the weakest conditions for its reuse. It is also valuable for generalizing partially ordered plans. The operators are generalized in the FIKE's triangle table. We introduce the domain axioms to generate the constraints for the consistency of generalized states. After completing the triangle table with the information concerning the operator destructions (interactions), we obtain the global explanation of the partial order on the operators. Then, we represent all the necessary ordering relations by a directed graph. The exploitation of this graph permits to explicate the dependence between the partial orders and the constraints among the parameters of generalized operators, and allows all the solutions to be obtained. (author) [fr

Newly elected IAEA Board of Governors

International Nuclear Information System (INIS)

2000-01-01

The document gives information about the election of 11 Member States to the IAEA Board of Governors, the 35-member policy-making body, during the 44th regular session of the IAEA's General Conference (18 - 22 September 2000, Austria Center, Vienna). The newly elected Member States are: Argentina, Egypt, Ghana, Ireland, Libyan Arab Jamahiriya, Mexico, Pakistan, Peru, Switzerland, Thailand, Ukraine. The other 24 Member States of the Board are also given

A Learning Trajectory in 6-Year-Olds' Thinking about Generalizing Functional Relationships

Science.gov (United States)

Blanton, Maria; Brizuela, Bárbara M.; Gardiner, Angela Murphy; Sawrey, Katie; Newman-Owens, Ashley

2015-01-01

The study of functions is a critical route into teaching and learning algebra in the elementary grades, yet important questions remain regarding the nature of young children's understanding of functions. This article reports an empirically developed learning trajectory in first-grade children's (6-year-olds') thinking about generalizing functional…

Workplace learning from a socio-cultural perspective: creating developmental space during the general practice clerkship.

Science.gov (United States)

van der Zwet, J; Zwietering, P J; Teunissen, P W; van der Vleuten, C P M; Scherpbier, A J J A

2011-08-01

Workplace learning in undergraduate medical education has predominantly been studied from a cognitive perspective, despite its complex contextual characteristics, which influence medical students' learning experiences in such a way that explanation in terms of knowledge, skills, attitudes and single determinants of instructiveness is unlikely to suffice. There is also a paucity of research which, from a perspective other than the cognitive or descriptive one, investigates student learning in general practice settings, which are often characterised as powerful learning environments. In this study we took a socio-cultural perspective to clarify how students learn during a general practice clerkship and to construct a conceptual framework that captures this type of learning. Our analysis of group interviews with 44 fifth-year undergraduate medical students about their learning experiences in general practice showed that students needed developmental space to be able to learn and develop their professional identity. This space results from the intertwinement of workplace context, personal and professional interactions and emotions such as feeling respected and self-confident. These forces framed students' participation in patient consultations, conversations with supervisors about consultations and students' observation of supervisors, thereby determining the opportunities afforded to students to mind their learning. These findings resonate with other conceptual frameworks and learning theories. In order to refine our interpretation, we recommend that further research from a socio-cultural perspective should also explore other aspects of workplace learning in medical education.

The use of an active learning approach in a SCALE-UP learning space improves academic performance in undergraduate General Biology.

Science.gov (United States)

Hacisalihoglu, Gokhan; Stephens, Desmond; Johnson, Lewis; Edington, Maurice

2018-01-01

Active learning is a pedagogical approach that involves students engaging in collaborative learning, which enables them to take more responsibility for their learning and improve their critical thinking skills. While prior research examined student performance at majority universities, this study focuses on specifically Historically Black Colleges and Universities (HBCUs) for the first time. Here we present work that focuses on the impact of active learning interventions at Florida A&M University, where we measured the impact of active learning strategies coupled with a SCALE-UP (Student Centered Active Learning Environment with Upside-down Pedagogies) learning environment on student success in General Biology. In biology sections where active learning techniques were employed, students watched online videos and completed specific activities before class covering information previously presented in a traditional lecture format. In-class activities were then carefully planned to reinforce critical concepts and enhance critical thinking skills through active learning techniques such as the one-minute paper, think-pair-share, and the utilization of clickers. Students in the active learning and control groups covered the same topics, took the same summative examinations and completed identical homework sets. In addition, the same instructor taught all of the sections included in this study. Testing demonstrated that these interventions increased learning gains by as much as 16%, and students reported an increase in their positive perceptions of active learning and biology. Overall, our results suggest that active learning approaches coupled with the SCALE-UP environment may provide an added opportunity for student success when compared with the standard modes of instruction in General Biology.

An Exploration of Changes in Thinking in the Transition from Student Teacher to Newly Qualified Teacher

Science.gov (United States)

Haggarty, Linda; Postlethwaite, Keith

2012-01-01

For newly qualified teachers (NQTs), the induction period of support is an important phase which has the potential to deepen learning that has already taken place in initial teacher education (ITE) as well as preparing the NQT for future learning. A particularly crucial time in the induction process is the first term of teaching, when NQTs are…

Trends in extreme learning machines: a review.

Science.gov (United States)

Huang, Gao; Huang, Guang-Bin; Song, Shiji; You, Keyou

2015-01-01

Extreme learning machine (ELM) has gained increasing interest from various research fields recently. In this review, we aim to report the current state of the theoretical research and practical advances on this subject. We first give an overview of ELM from the theoretical perspective, including the interpolation theory, universal approximation capability, and generalization ability. Then we focus on the various improvements made to ELM which further improve its stability, sparsity and accuracy under general or specific conditions. Apart from classification and regression, ELM has recently been extended for clustering, feature selection, representational learning and many other learning tasks. These newly emerging algorithms greatly expand the applications of ELM. From implementation aspect, hardware implementation and parallel computation techniques have substantially sped up the training of ELM, making it feasible for big data processing and real-time reasoning. Due to its remarkable efficiency, simplicity, and impressive generalization performance, ELM have been applied in a variety of domains, such as biomedical engineering, computer vision, system identification, and control and robotics. In this review, we try to provide a comprehensive view of these advances in ELM together with its future perspectives.

[E-Learning--an important contribution to general medical training and continuing education?].

Science.gov (United States)

Ruf, D; Berner, M M; Kriston, L; Härter, M

2008-09-01

There is increasing activity in the development of e-learning modules for general medical training and continuing education. One of the central advantages of e-learning is flexibility regarding time and place of its use. The quality of the available e-learning opportunities varies quite considerably. For users it is often not easy to assess the quality of e-learning modules or to find offers of high quality. This could be a reason for the fact that despite the huge number of e-learning modules still only few students and physicians are using them. This is although e-learning has proven to be as effective as and even more efficient than learning in the classroom or with paper-based materials. This article summarizes the different models of e-learning, how and where to find offers of high quality, advantages of using e-learning, and the effectiveness and efficiency of such offers. In addition problems of e-learning and possibilities to overcome these problems are shown.

Out-of-Sample Generalizations for Supervised Manifold Learning for Classification.

Science.gov (United States)

Vural, Elif; Guillemot, Christine

2016-03-01

Supervised manifold learning methods for data classification map high-dimensional data samples to a lower dimensional domain in a structure-preserving way while increasing the separation between different classes. Most manifold learning methods compute the embedding only of the initially available data; however, the generalization of the embedding to novel points, i.e., the out-of-sample extension problem, becomes especially important in classification applications. In this paper, we propose a semi-supervised method for building an interpolation function that provides an out-of-sample extension for general supervised manifold learning algorithms studied in the context of classification. The proposed algorithm computes a radial basis function interpolator that minimizes an objective function consisting of the total embedding error of unlabeled test samples, defined as their distance to the embeddings of the manifolds of their own class, as well as a regularization term that controls the smoothness of the interpolation function in a direction-dependent way. The class labels of test data and the interpolation function parameters are estimated jointly with an iterative process. Experimental results on face and object images demonstrate the potential of the proposed out-of-sample extension algorithm for the classification of manifold-modeled data sets.

Newly elected IAEA Board of Governors

International Nuclear Information System (INIS)

2001-01-01

The document gives information about the election of 11 Member States to the IAEA Board of Governors, the 35-member policy-making body, during the 45th regular session of the IAEA's General Conference (17-21 September 2001, Austria Center, Vienna). The newly elected Member States are: Bulgaria, Burkina Faso, Chile, Colombia, Islamic Republic of Iran, Kuwait, Morocco, Philippines, Romania, Spain, and Turkey. The other 24 Member States of the Board are also given

The relationship between learning mathematics and general cognitive ability in primary school.

Science.gov (United States)

Cowan, Richard; Hurry, Jane; Midouhas, Emily

2018-06-01

Three relationships between learning mathematics and general cognitive ability have been hypothesized: The educational hypothesis that learning mathematics develops general cognitive skills, the psychometric hypothesis that differences in general cognitive ability cause differences in mathematical attainment, and the reciprocal influence hypothesis that developments in mathematical ability and general cognitive ability influence each other. These hypotheses are assessed with a sample of 948 children from the Twins Early Development Study who were assessed at 7, 9, and 10 years on mathematics, English, and general cognitive ability. A cross-lagged path analysis with mathematics and general cognitive ability measures supports the reciprocal influence hypothesis between 7 and 9 and between 9 and 10. A second analysis including English assessments only provides evidence of a reciprocal relationship between 7 and 9. Statement of Contribution What is already known on this subject? The correlations between mathematical attainment, literacy, and measures of general cognitive skills are well established. The role of literacy in developing general cognitive skills is emerging. What the present study adds? Mathematics contributes to the development of general cognitive skills. General cognitive ability contributes to mathematical development between 7 and 10. These findings support the hypothesis of reciprocal influence between mathematics and general cognitive ability, at least between 7 and 9. © 2017 The British Psychological Society.

Extreme learning machine for ranking: generalization analysis and applications.

Science.gov (United States)

Chen, Hong; Peng, Jiangtao; Zhou, Yicong; Li, Luoqing; Pan, Zhibin

2014-05-01

The extreme learning machine (ELM) has attracted increasing attention recently with its successful applications in classification and regression. In this paper, we investigate the generalization performance of ELM-based ranking. A new regularized ranking algorithm is proposed based on the combinations of activation functions in ELM. The generalization analysis is established for the ELM-based ranking (ELMRank) in terms of the covering numbers of hypothesis space. Empirical results on the benchmark datasets show the competitive performance of the ELMRank over the state-of-the-art ranking methods. Copyright © 2014 Elsevier Ltd. All rights reserved.

The impact of category structure and training methodology on learning and generalizing within-category representations.

Science.gov (United States)

Ell, Shawn W; Smith, David B; Peralta, Gabriela; Hélie, Sébastien

2017-08-01

When interacting with categories, representations focused on within-category relationships are often learned, but the conditions promoting within-category representations and their generalizability are unclear. We report the results of three experiments investigating the impact of category structure and training methodology on the learning and generalization of within-category representations (i.e., correlational structure). Participants were trained on either rule-based or information-integration structures using classification (Is the stimulus a member of Category A or Category B?), concept (e.g., Is the stimulus a member of Category A, Yes or No?), or inference (infer the missing component of the stimulus from a given category) and then tested on either an inference task (Experiments 1 and 2) or a classification task (Experiment 3). For the information-integration structure, within-category representations were consistently learned, could be generalized to novel stimuli, and could be generalized to support inference at test. For the rule-based structure, extended inference training resulted in generalization to novel stimuli (Experiment 2) and inference training resulted in generalization to classification (Experiment 3). These data help to clarify the conditions under which within-category representations can be learned. Moreover, these results make an important contribution in highlighting the impact of category structure and training methodology on the generalization of categorical knowledge.

Team-Based Learning Reduces Attrition in a First-Semester General Chemistry Course

Science.gov (United States)

Comeford, Lorrie

2016-01-01

Team-based learning (TBL) is an instructional method that has been shown to reduce attrition and increase student learning in a number of disciplines. TBL was implemented in a first-semester general chemistry course, and its effect on attrition was assessed. Attrition from sections before implementing TBL (fall 2008 to fall 2009) was compared with…

Benefits and harms of general health checks- lifelong learning in general practice: how to read and use scientific literature

DEFF Research Database (Denmark)

Arreskov, Anne Beiter; Graungaard, Anette Hauskov; Nielsen, Kirsten Lykke

the paper using the method of critical appraisal. Session content The didactic method used in the workshop is mostly small group activities with eight participants and two tutors in each group. The participants will receive two scientific papers: the BMJ-version of the Cochrane review about general health......Abstract title: Benefits and harms of general health checks - lifelong learning in general practice: how to read and use scientific literature Objectives After this workshop the participants will know the basics of how to read a systematic literature review and interpret a meta-analysis and be able......, assesses, and implements methods of diagnosis and treatment on the basis of the best available current research, clinical expertise, and combines this with the needs and preferences of the patient, is termed evidence-based medicine. By learning and practising the principles of evidence-based medicine, GPs...

General practitioners learning qualitative research: A case study of postgraduate education.

Science.gov (United States)

Hepworth, Julie; Kay, Margaret

2015-10-01

Qualitative research is increasingly being recognised as a vital aspect of primary healthcare research. Teaching and learning how to conduct qualitative research is especially important for general practitioners and other clinicians in the professional educational setting. This article examines a case study of postgraduate professional education in qualitative research for clinicians, for the purpose of enabling a robust discussion around teaching and learning in medicine and the health sciences. A series of three workshops was delivered for primary healthcare academics. The workshops were evaluated using a quantitative survey and qualitative free-text responses to enable descriptive analyses. Participants found qualitative philosophy and theory the most difficult areas to engage with, and learning qualitative coding and analysis was considered the easiest to learn. Key elements for successful teaching were identified, including the use of adult learning principles, the value of an experienced facilitator and an awareness of the impact of clinical subcultures on learning.

Stress before extinction learning enhances and generalizes extinction memory in a predictive learning task.

Science.gov (United States)

Meir Drexler, Shira; Hamacher-Dang, Tanja C; Wolf, Oliver T

2017-05-01

In extinction learning, the individual learns that a previously acquired association (e.g. between a threat and its predictor) is no longer valid. This learning is the principle underlying many cognitive-behavioral psychotherapeutic treatments, e.g. 'exposure therapy'. However, extinction is often highly-context dependent, leading to renewal (relapse of extinguished conditioned response following context change). We have previously shown that post-extinction stress leads to a more context-dependent extinction memory in a predictive learning task. Yet as stress prior to learning can impair the integration of contextual cues, here we aim to create a more generalized extinction memory by inducing stress prior to extinction. Forty-nine men and women learned the associations between stimuli and outcomes in a predictive learning task (day 1), extinguished them shortly after an exposure to a stress/control condition (day 2), and were tested for renewal (day 3). No group differences were seen in acquisition and extinction learning, and a renewal effect was present in both groups. However, the groups differed in the strength and context-dependency of the extinction memory. Compared to the control group, the stress group showed an overall reduced recovery of responding to the extinguished stimuli, in particular in the acquisition context. These results, together with our previous findings, demonstrate that the effects of stress exposure on extinction memory depend on its timing. While post-extinction stress makes the memory more context-bound, pre-extinction stress strengthens its consolidation for the acquisition context as well, making it potentially more resistant to relapse. These results have implications for the use of glucocorticoids as extinction-enhancers in exposure therapy. Copyright © 2017 Elsevier Inc. All rights reserved.

On A Nonlinear Generalization of Sparse Coding and Dictionary Learning.

Science.gov (United States)

Xie, Yuchen; Ho, Jeffrey; Vemuri, Baba

2013-01-01

Existing dictionary learning algorithms are based on the assumption that the data are vectors in an Euclidean vector space ℝ d , and the dictionary is learned from the training data using the vector space structure of ℝ d and its Euclidean L 2 -metric. However, in many applications, features and data often originated from a Riemannian manifold that does not support a global linear (vector space) structure. Furthermore, the extrinsic viewpoint of existing dictionary learning algorithms becomes inappropriate for modeling and incorporating the intrinsic geometry of the manifold that is potentially important and critical to the application. This paper proposes a novel framework for sparse coding and dictionary learning for data on a Riemannian manifold, and it shows that the existing sparse coding and dictionary learning methods can be considered as special (Euclidean) cases of the more general framework proposed here. We show that both the dictionary and sparse coding can be effectively computed for several important classes of Riemannian manifolds, and we validate the proposed method using two well-known classification problems in computer vision and medical imaging analysis.

Statistical mechanics of learning orthogonal signals for general covariance models

International Nuclear Information System (INIS)

Hoyle, David C

2010-01-01

Statistical mechanics techniques have proved to be useful tools in quantifying the accuracy with which signal vectors are extracted from experimental data. However, analysis has previously been limited to specific model forms for the population covariance C, which may be inappropriate for real world data sets. In this paper we obtain new statistical mechanical results for a general population covariance matrix C. For data sets consisting of p sample points in R N we use the replica method to study the accuracy of orthogonal signal vectors estimated from the sample data. In the asymptotic limit of N,p→∞ at fixed α = p/N, we derive analytical results for the signal direction learning curves. In the asymptotic limit the learning curves follow a single universal form, each displaying a retarded learning transition. An explicit formula for the location of the retarded learning transition is obtained and we find marked variation in the location of the retarded learning transition dependent on the distribution of population covariance eigenvalues. The results of the replica analysis are confirmed against simulation

The Interaction of Language-Specific and Universal Factors During the Acquisition of Morphophonemic Alternations With Exceptions.

Science.gov (United States)

Baer-Henney, Dinah; Kügler, Frank; van de Vijver, Ruben

2015-09-01

Using the artificial language paradigm, we studied the acquisition of morphophonemic alternations with exceptions by 160 German adult learners. We tested the acquisition of two types of alternations in two regularity conditions while additionally varying length of training. In the first alternation, a vowel harmony, backness of the stem vowel determines backness of the suffix. This process is grounded in substance (phonetic motivation), and this universal phonetic factor bolsters learning a generalization. In the second alternation, tenseness of the stem vowel determines backness of the suffix vowel. This process is not based in substance, but it reflects a phonotactic property of German and our participants benefit from this language-specific factor. We found that learners use both cues, while substantive bias surfaces mainly in the most unstable situation. We show that language-specific and universal factors interact in learning. Copyright © 2014 Cognitive Science Society, Inc.

Context generalization in Drosophila visual learning requires the mushroom bodies

Science.gov (United States)

Liu, Li; Wolf, Reinhard; Ernst, Roman; Heisenberg, Martin

1999-08-01

The world is permanently changing. Laboratory experiments on learning and memory normally minimize this feature of reality, keeping all conditions except the conditioned and unconditioned stimuli as constant as possible. In the real world, however, animals need to extract from the universe of sensory signals the actual predictors of salient events by separating them from non-predictive stimuli (context). In principle, this can be achieved ifonly those sensory inputs that resemble the reinforcer in theirtemporal structure are taken as predictors. Here we study visual learning in the fly Drosophila melanogaster, using a flight simulator,, and show that memory retrieval is, indeed, partially context-independent. Moreover, we show that the mushroom bodies, which are required for olfactory but not visual or tactile learning, effectively support context generalization. In visual learning in Drosophila, it appears that a facilitating effect of context cues for memory retrieval is the default state, whereas making recall context-independent requires additional processing.

Distributed Systems of Generalizing as the Basis of Workplace Learning

Science.gov (United States)

Virkkunen, Jaakko; Pihlaja, Juha

2004-01-01

This article proposes a new way of conceptualizing workplace learning as distributed systems of appropriation, development and the use of practice-relevant generalizations fixed within mediational artifacts. This article maintains that these systems change historically as technology and increasingly sophisticated forms of production develop.…

Role of Prefrontal Cortex in Learning and Generalizing Hierarchical Rules in 8-Month-Old Infants.

Science.gov (United States)

Werchan, Denise M; Collins, Anne G E; Frank, Michael J; Amso, Dima

2016-10-05

Recent research indicates that adults and infants spontaneously create and generalize hierarchical rule sets during incidental learning. Computational models and empirical data suggest that, in adults, this process is supported by circuits linking prefrontal cortex (PFC) with striatum and their modulation by dopamine, but the neural circuits supporting this form of learning in infants are largely unknown. We used near-infrared spectroscopy to record PFC activity in 8-month-old human infants during a simple audiovisual hierarchical-rule-learning task. Behavioral results confirmed that infants adopted hierarchical rule sets to learn and generalize spoken object-label mappings across different speaker contexts. Infants had increased activity over right dorsal lateral PFC when rule sets switched from one trial to the next, a neural marker related to updating rule sets into working memory in the adult literature. Infants' eye blink rate, a possible physiological correlate of striatal dopamine activity, also increased when rule sets switched from one trial to the next. Moreover, the increase in right dorsolateral PFC activity in conjunction with eye blink rate also predicted infants' generalization ability, providing exploratory evidence for frontostriatal involvement during learning. These findings provide evidence that PFC is involved in rudimentary hierarchical rule learning in 8-month-old infants, an ability that was previously thought to emerge later in life in concert with PFC maturation. Hierarchical rule learning is a powerful learning mechanism that allows rules to be selected in a context-appropriate fashion and transferred or reused in novel contexts. Data from computational models and adults suggests that this learning mechanism is supported by dopamine-innervated interactions between prefrontal cortex (PFC) and striatum. Here, we provide evidence that PFC also supports hierarchical rule learning during infancy, challenging the current dogma that PFC is an

Encounters of Newly Qualified Teachers with Micro-Politics in Primary Schools in Zimbabwe

Science.gov (United States)

Magudu, Snodia; Gumbo, Mishack

2017-01-01

This article demonstrates, through the example of Zimbabwe, the complexities of micro-political learning during induction. It reports on the experiences of ten newly qualified teachers with micro-politics or power relations in their schools during induction and locates these experiences within the broader context of their professional development.…

Effect of Formative Quizzes on Teacher Candidates’ Learning in General Chemistry

OpenAIRE

Yalaki, Yalcin; Bayram, Zeki

2015-01-01

Formative assessment or assessment for learning is one of the most emphasized educational innovations around the world. Two of the common strategies that could be used in formative assessment are use of summative tests for formative purposes and comment only marking. We utilized these strategies in the form of formative quizzes in a general chemistry course and measured its effect on students’ learning. The results of our weak-experimental design, which was conducted with 124 pre-service elem...

Newly-formed emotional memories guide selective attention processes: Evidence from event-related potentials

OpenAIRE

Harald T. Schupp; Ursula Kirmse; Ralf Schmälzle; Tobias Flaisch; Britta Renner

2016-01-01

Emotional cues can guide selective attention processes. However, emotional stimuli can both activate long-term memory representations reflecting general world knowledge and engage newly formed memory representations representing specific knowledge from the immediate past. Here, the self-completion feature of associative memory was utilized to assess the regulation of attention processes by newly-formed emotional memory. First, new memory representations were formed by presenting pictures depi...

Safe from harm: learned, instructed, and symbolic generalization pathways of human threat-avoidance.

Directory of Open Access Journals (Sweden)

Simon Dymond

Full Text Available Avoidance of threatening or unpleasant events is usually an adaptive behavioural strategy. Sometimes, however, avoidance can become chronic and lead to impaired daily functioning. Excessive threat-avoidance is a central diagnostic feature of anxiety disorders, yet little is known about whether avoidance acquired in the absence of a direct history of conditioning with a fearful event differs from directly learned avoidance. In the present study, we tested whether avoidance acquired indirectly via verbal instructions and symbolic generalization result in similar levels of avoidance behaviour and threat-beliefs to avoidance acquired after direct learning. Following fear conditioning in which one conditioned stimulus was paired with shock (CS+ and another was not (CS-, participants either learned or were instructed to make a response that cancelled impending shock. Three groups were then tested with a learned CS+ and CS- (learned group, instructed CS+ (instructed group, and generalized CS+ (derived group presentations. Results showed similar levels of avoidance behaviour and threat-belief ratings about the likelihood of shock across each of the three pathways despite the different mechanisms by which they were acquired. Findings have implications for understanding the aetiology of clinical avoidance in anxiety.

Distributing learning over time: the spacing effect in children's acquisition and generalization of science concepts.

Science.gov (United States)

Vlach, Haley A; Sandhofer, Catherine M

2012-01-01

The spacing effect describes the robust finding that long-term learning is promoted when learning events are spaced out in time rather than presented in immediate succession. Studies of the spacing effect have focused on memory processes rather than for other types of learning, such as the acquisition and generalization of new concepts. In this study, early elementary school children (5- to 7-year-olds; N = 36) were presented with science lessons on 1 of 3 schedules: massed, clumped, and spaced. The results revealed that spacing lessons out in time resulted in higher generalization performance for both simple and complex concepts. Spaced learning schedules promote several types of learning, strengthening the implications of the spacing effect for educational practices and curriculum. © 2012 The Authors. Child Development © 2012 Society for Research in Child Development, Inc.

In-Course Instructor-Guided Service Learning in a Community College General Psychology Class

Science.gov (United States)

Goomas, David T.; Weston, Melissa B.

2012-01-01

Students enrolled in two general psychology classes at El Centro College (ECC) of the Dallas County Community College District (DCCCD) were offered the opportunity to earn extra credit by performing up to 20 hours of service learning. Benefits of service learning were observed in student development, including exploration of career possibilities,…

An investigative, cooperative learning approach to the general microbiology laboratory.

Science.gov (United States)

Seifert, Kyle; Fenster, Amy; Dilts, Judith A; Temple, Louise

2009-01-01

Investigative- and cooperative-based learning strategies have been used effectively in a variety of classrooms to enhance student learning and engagement. In the General Microbiology laboratory for juniors and seniors at James Madison University, these strategies were combined to make a semester-long, investigative, cooperative learning experience involving culture and identification of microbial isolates that the students obtained from various environments. To assess whether this strategy was successful, students were asked to complete a survey at the beginning and at the end of the semester regarding their comfort level with a variety of topics. For most of the topics queried, the students reported that their comfort had increased significantly during the semester. Furthermore, this group of students thought that the quality of this investigative lab experience was much better than that of any of their previous lab experiences.

An Extreme Learning Machine Based on the Mixed Kernel Function of Triangular Kernel and Generalized Hermite Dirichlet Kernel

Directory of Open Access Journals (Sweden)

Senyue Zhang

2016-01-01

Full Text Available According to the characteristics that the kernel function of extreme learning machine (ELM and its performance have a strong correlation, a novel extreme learning machine based on a generalized triangle Hermitian kernel function was proposed in this paper. First, the generalized triangle Hermitian kernel function was constructed by using the product of triangular kernel and generalized Hermite Dirichlet kernel, and the proposed kernel function was proved as a valid kernel function of extreme learning machine. Then, the learning methodology of the extreme learning machine based on the proposed kernel function was presented. The biggest advantage of the proposed kernel is its kernel parameter values only chosen in the natural numbers, which thus can greatly shorten the computational time of parameter optimization and retain more of its sample data structure information. Experiments were performed on a number of binary classification, multiclassification, and regression datasets from the UCI benchmark repository. The experiment results demonstrated that the robustness and generalization performance of the proposed method are outperformed compared to other extreme learning machines with different kernels. Furthermore, the learning speed of proposed method is faster than support vector machine (SVM methods.

When You've Seen One, Have You Seen Them All? Children's Memory for General and Specific Learning Episodes

Science.gov (United States)

Riggs, Anne E.; Kalish, Charles W.; Alibali, Martha W.

2014-01-01

In any learning situation, children must decide the level of generality with which to encode information. Cues to generality may affect children's memory for different components of a learning episode. In this research, we investigated whether 1 cue to generality, generic language, affects children's memory for information about social categories…

General relativity in upper secondary school: Design and evaluation of an online learning environment using the model of educational reconstruction

Science.gov (United States)

Kersting, Magdalena; Henriksen, Ellen Karoline; Bøe, Maria Vetleseter; Angell, Carl

2018-06-01

Because of its abstract nature, Albert Einstein's theory of general relativity is rarely present in school physics curricula. Although the educational community has started to investigate ways of bringing general relativity to classrooms, field-tested educational material is rare. Employing the model of educational reconstruction, we present a collaborative online learning environment that was introduced to final year students (18-19 years old) in six Norwegian upper secondary physics classrooms. Design-based research methods guided the development of the learning resources, which were based on a sociocultural view of learning and a historical-philosophical approach to teaching general relativity. To characterize students' learning from and interaction with the learning environment we analyzed focus group interviews and students' oral and written responses to assigned problems and discussion tasks. Our findings show how design choices on different levels can support or hinder understanding of general relativity, leading to the formulation of design principles that help to foster qualitative understanding and encourage collaborative learning. The results indicate that upper secondary students can obtain a qualitative understanding of general relativity when provided with appropriately designed learning resources and sufficient scaffolding of learning through interaction with teacher and peers.

Cross-limb Interference during motor learning

DEFF Research Database (Denmark)

Lauber, Benedikt; Jensen, Jesper Lundbye; Keller, Martin

2013-01-01

It is well known that following skill learning, improvements in motor performance may transfer to the untrained contralateral limb. It is also well known that retention of a newly learned task A can be degraded when learning a competing task B that takes place directly after learning A. Here we...

Effects of conventional and problem-based learning on clinical and general competencies and career development

NARCIS (Netherlands)

Cohen-Schotanus, Janke; Muijtjens, Arno M. M.; Schonrock-Adema, Johanna; Geertsma, Jelle; van der Vleuten, Cees P. M.

OBJECTIVE: To test hypotheses regarding the longitudinal effects of problem-based learning (PBL) and conventional learning relating to students' appreciation of the curriculum, self-assessment of general competencies, summative assessment of clinical competence and indicators of career development.

Exploring gender differences on general and specific computer self-efficacy in mobile learning adoption

OpenAIRE

Bao, Yukun; Xiong, Tao; Hu, Zhongyi; Kibelloh, Mboni

2014-01-01

Reasons for contradictory findings regarding the gender moderate effect on computer self-efficacy in the adoption of e-learning/mobile learning are limited. Recognizing the multilevel nature of the computer self-efficacy (CSE), this study attempts to explore gender differences in the adoption of mobile learning, by extending the Technology Acceptance Model (TAM) with general and specific CSE. Data collected from 137 university students were tested against the research model using the structur...

Newly-formed emotional memories guide selective attention processes: Evidence from event-related potentials.

Science.gov (United States)

Schupp, Harald T; Kirmse, Ursula; Schmälzle, Ralf; Flaisch, Tobias; Renner, Britta

2016-06-20

Emotional cues can guide selective attention processes. However, emotional stimuli can both activate long-term memory representations reflecting general world knowledge and engage newly formed memory representations representing specific knowledge from the immediate past. Here, the self-completion feature of associative memory was utilized to assess the regulation of attention processes by newly-formed emotional memory. First, new memory representations were formed by presenting pictures depicting a person either in an erotic pose or as a portrait. Afterwards, to activate newly-built memory traces, edited pictures were presented showing only the head region of the person. ERP recordings revealed the emotional regulation of attention by newly-formed memories. Specifically, edited pictures from the erotic compared to the portrait category elicited an early posterior negativity and late positive potential, similar to the findings observed for the original pictures. A control condition showed that the effect was dependent on newly-formed memory traces. Given the large number of new memories formed each day, they presumably make an important contribution to the regulation of attention in everyday life.

Newly-formed emotional memories guide selective attention processes: Evidence from event-related potentials

Science.gov (United States)

Schupp, Harald T.; Kirmse, Ursula; Schmälzle, Ralf; Flaisch, Tobias; Renner, Britta

2016-01-01

Emotional cues can guide selective attention processes. However, emotional stimuli can both activate long-term memory representations reflecting general world knowledge and engage newly formed memory representations representing specific knowledge from the immediate past. Here, the self-completion feature of associative memory was utilized to assess the regulation of attention processes by newly-formed emotional memory. First, new memory representations were formed by presenting pictures depicting a person either in an erotic pose or as a portrait. Afterwards, to activate newly-built memory traces, edited pictures were presented showing only the head region of the person. ERP recordings revealed the emotional regulation of attention by newly-formed memories. Specifically, edited pictures from the erotic compared to the portrait category elicited an early posterior negativity and late positive potential, similar to the findings observed for the original pictures. A control condition showed that the effect was dependent on newly-formed memory traces. Given the large number of new memories formed each day, they presumably make an important contribution to the regulation of attention in everyday life. PMID:27321471

A Dictionary Learning Method with Total Generalized Variation for MRI Reconstruction.

Science.gov (United States)

Lu, Hongyang; Wei, Jingbo; Liu, Qiegen; Wang, Yuhao; Deng, Xiaohua

2016-01-01

Reconstructing images from their noisy and incomplete measurements is always a challenge especially for medical MR image with important details and features. This work proposes a novel dictionary learning model that integrates two sparse regularization methods: the total generalized variation (TGV) approach and adaptive dictionary learning (DL). In the proposed method, the TGV selectively regularizes different image regions at different levels to avoid oil painting artifacts largely. At the same time, the dictionary learning adaptively represents the image features sparsely and effectively recovers details of images. The proposed model is solved by variable splitting technique and the alternating direction method of multiplier. Extensive simulation experimental results demonstrate that the proposed method consistently recovers MR images efficiently and outperforms the current state-of-the-art approaches in terms of higher PSNR and lower HFEN values.

Effects of Learning Analytics Dashboard: Analyzing the Relations among Dashboard Utilization, Satisfaction, and Learning Achievement

Science.gov (United States)

Kim, Jeonghyun; Jo, Il-Hyun; Park, Yeonjeong

2016-01-01

The learning analytics dashboard (LAD) is a newly developed learning support tool for virtual classrooms that is believed to allow students to review their online learning behavior patterns intuitively through the provision of visual information. The purpose of this study was to empirically validate the effects of LAD. An experimental study was…

[Impact of Increased Supply of Newly Licensed Nurses on Hospital Nurse Staffing and Policy Implications].

Science.gov (United States)

Kim, Yunmi; You, Sunju; Kim, Jinhyun

2017-12-01

This study aimed to analyze the impact of increasing the supply of newly licensed nurses on improving the hospital nurse staffing grades for the period of 2009~2014. Using public administrative data, we analyzed the effect of newly licensed nurses on staffing in 1,594 hospitals using Generalized Estimating Equation (GEE) ordered logistic regression, and of supply variation on improving staffing grades in 1,042 hospitals using GEE logistic regression. An increase of one newly licensed nurse per 100 beds in general units had significantly lower odds of improving staffing grades (grades 6~0 vs. 7) (odds ratio=0.95, p=.005). The supply of newly licensed nurses increased by 32% from 2009 to 2014, and proportion of hospitals whose staffing grade had improved, not changed, and worsened was 19.1%, 70.1%, and 10.8% respectively. Compared to 2009, the supply variation of newly licensed nurses in 2014 was not significantly related to the increased odds of improving staffing grades in the region (OR=1.02, p=.870). To achieve a balance in the regional supply and demand for hospital nurses, compliance with nurse staffing legislation and revisions in the nursing fee differentiation policy are needed. Rather than relying on increasing nurse supply, retention policies for new graduate nurses are required to build and sustain competent nurse workforce in the future. © 2017 Korean Society of Nursing Science

Critical thinking dispositions among newly graduated nurses

Science.gov (United States)

Wangensteen, Sigrid; Johansson, Inger S; Björkström, Monica E; Nordström, Gun

2010-01-01

wangensteen s., johansson i.s., björkström m.e. & nordström g. (2010) Critical thinking dispositions among newly graduated nurses. Journal of Advanced Nursing66(10), 2170–2181. Aim The aim of the study was to describe critical thinking dispositions among newly graduated nurses in Norway, and to study whether background data had any impact on critical thinking dispositions. Background Competence in critical thinking is one of the expectations of nursing education. Critical thinkers are described as well-informed, inquisitive, open-minded and orderly in complex matters. Critical thinking competence has thus been designated as an outcome for judging the quality of nursing education programmes and for the development of clinical judgement. The ability to think critically is also described as reducing the research–practice gap and fostering evidence-based nursing. Methods A cross-sectional descriptive study was performed. The data were collected between October 2006 and April 2007 using the California Critical Thinking Disposition Inventory. The response rate was 33% (n= 618). Pearson’s chi-square tests were used to analyse the data. Results Nearly 80% of the respondents reported a positive disposition towards critical thinking. The highest mean score was on the Inquisitiveness subscale and the lowest on the Truth-seeking subscale. A statistically significant higher proportion of nurses with high critical thinking scores were found among those older than 30 years, those with university education prior to nursing education, and those working in community health care. Conclusion Nurse leaders and nurse teachers should encourage and nurture critical thinking among newly graduated nurses and nursing students. The low Truth-seeking scores found may be a result of traditional teaching strategies in nursing education and might indicate a need for more student-active learning models. PMID:20384637

Assessing College Students' Perceptions of a Case Teacher's Pedagogical Content Knowledge Using a Newly Developed Instrument

Science.gov (United States)

Jang, Syh-Jong

2011-01-01

Ongoing professional development for college teachers has been much emphasized. However, previous research on learning environments has seldom addressed college students' perceptions of teachers' PCK. This study aimed to evaluate college students' perceptions of a physics teacher's PCK development using a newly developed instrument and workshop…

Examining the Effectiveness of a Semi-Self-Paced Flipped Learning Format in a College General Chemistry Sequence

Science.gov (United States)

Hibbard, Lisa; Sung, Shannon; Wells, Breche´

2016-01-01

Flipped learning has come to the forefront in education. It maximizes learning by moving content delivery online, where learning can be self-paced, allowing for class time to focus on student-centered active learning. This five-year cross-sectional study assessed student performance in a college general chemistry for majors sequence taught by a…

Suggestions for Modifications in the Teaching of General Chemistry to Accommodate Learning Disabled Students: Alternative Techniques for Teaching General Chemistry to Learning Disabled Students in the University.

Science.gov (United States)

Habib, H. S.

A professor involved with the HELDS project (Higher Education for Learning Disabled Students) describes modifications in a general chemistry course. A syllabus lists program objectives for eight text chapters, evaluation components, and course rules. Two units are described in detail, with information presented on modifications made for LD…

A Dictionary Learning Method with Total Generalized Variation for MRI Reconstruction

Directory of Open Access Journals (Sweden)

Hongyang Lu

2016-01-01

Full Text Available Reconstructing images from their noisy and incomplete measurements is always a challenge especially for medical MR image with important details and features. This work proposes a novel dictionary learning model that integrates two sparse regularization methods: the total generalized variation (TGV approach and adaptive dictionary learning (DL. In the proposed method, the TGV selectively regularizes different image regions at different levels to avoid oil painting artifacts largely. At the same time, the dictionary learning adaptively represents the image features sparsely and effectively recovers details of images. The proposed model is solved by variable splitting technique and the alternating direction method of multiplier. Extensive simulation experimental results demonstrate that the proposed method consistently recovers MR images efficiently and outperforms the current state-of-the-art approaches in terms of higher PSNR and lower HFEN values.

Generalized product

OpenAIRE

Greco, Salvatore; Mesiar, Radko; Rindone, Fabio

2014-01-01

Aggregation functions on [0,1] with annihilator 0 can be seen as a generalized product on [0,1]. We study the generalized product on the bipolar scale [–1,1], stressing the axiomatic point of view. Based on newly introduced bipolar properties, such as the bipolar increasingness, bipolar unit element, bipolar idempotent element, several kinds of generalized bipolar product are introduced and studied. A special stress is put on bipolar semicopulas, bipolar quasi-copulas and bipolar copulas.

Child first language and adult second language are both tied to general-purpose learning systems.

Science.gov (United States)

Hamrick, Phillip; Lum, Jarrad A G; Ullman, Michael T

2018-02-13

Do the mechanisms underlying language in fact serve general-purpose functions that preexist this uniquely human capacity? To address this contentious and empirically challenging issue, we systematically tested the predictions of a well-studied neurocognitive theory of language motivated by evolutionary principles. Multiple metaanalyses were performed to examine predicted links between language and two general-purpose learning systems, declarative and procedural memory. The results tied lexical abilities to learning only in declarative memory, while grammar was linked to learning in both systems in both child first language and adult second language, in specific ways. In second language learners, grammar was associated with only declarative memory at lower language experience, but with only procedural memory at higher experience. The findings yielded large effect sizes and held consistently across languages, language families, linguistic structures, and tasks, underscoring their reliability and validity. The results, which met the predicted pattern, provide comprehensive evidence that language is tied to general-purpose systems both in children acquiring their native language and adults learning an additional language. Crucially, if language learning relies on these systems, then our extensive knowledge of the systems from animal and human studies may also apply to this domain, leading to predictions that might be unwarranted in the more circumscribed study of language. Thus, by demonstrating a role for these systems in language, the findings simultaneously lay a foundation for potentially important advances in the study of this critical domain.

Compiling a register of patients with moderate or severe learning disabilities: experience at one United Kingdom general practice

Science.gov (United States)

2011-01-01

Background Identifying patients with learning disabilities within primary care is central to initiatives for improving the health of this population. UK general practitioners (GPs) receive additional income for maintaining registers of patients with learning disabilities as part of the Quality and Outcomes Framework (QOF), and may opt to provide Directed Enhanced Services (DES), which requires practices to maintain registers of patients with moderate or severe learning disabilities and offer them annual health checks. Objectives This paper describes the development of a register of patients with moderate or severe learning disabilities at one UK general practice. Methods A Read code search of one UK general practice's electronic medical records was conducted in order to identify patients with learning disabilities. Confirmation of diagnoses was sought by scrutinising records and GP verification. Cross-referencing with the practice QOF register of patients with learning disabilities of any severity, and the local authority's list of clients with learning disabilities, was performed. Results Of 15 001 patients, 229 (1.5%) were identified by the Read code search as possibly having learning disabilities. Scrutiny of records and GP verification confirmed 64 had learning disabilities and 24 did not, but the presence or absence of learning disability remained unclear in 141 cases. Cross-referencing with the QOF register (n=81) and local authority list (n=49) revealed little overlap. Conclusion Identifying learning disability and assessing its severity are tasks GPs may be unfamiliar with, and relying on Read code searches may result in under-detection. Further research is needed to define optimum strategies for identifying, cross-referencing and validating practice-based registers of patients with learning disabilities. PMID:22479290

Compiling a register of patients with moderate or severe learning disabilities: experience at one United Kingdom general practice.

Science.gov (United States)

Lodge, Keri-Michèle; Milnes, David; Gilbody, Simon M

2011-03-01

Background Identifying patients with learning disabilities within primary care is central to initiatives for improving the health of this population. UK general practitioners (GPs) receive additional income for maintaining registers of patients with learning disabilities as part of the Quality and Outcomes Framework (QOF), and may opt to provide Directed Enhanced Services (DES), which requires practices to maintain registers of patients with moderate or severe learning disabilities and offer them annual health checks.Objectives This paper describes the development of a register of patients with moderate or severe learning disabilities at one UK general practice.Methods A Read code search of one UK general practice's electronic medical records was conducted in order to identify patients with learning disabilities. Confirmation of diagnoses was sought by scrutinising records and GP verification. Cross-referencing with the practice QOF register of patients with learning disabilities of any severity, and the local authority's list of clients with learning disabilities, was performed.Results Of 15 001 patients, 229 (1.5%) were identified by the Read code search as possibly having learning disabilities. Scrutiny of records and GP verification confirmed 64 had learning disabilities and 24 did not, but the presence or absence of learning disability remained unclear in 141 cases. Cross-referencing with the QOF register (n=81) and local authority list (n=49) revealed little overlap.Conclusion Identifying learning disability and assessing its severity are tasks GPs may be unfamiliar with, and relying on Read code searches may result in under-detection. Further research is needed to define optimum strategies for identifying, cross-referencing and validating practice-based registers of patients with learning disabilities.

The influence of experiential learning on medical equipment adoption in general practices.

Science.gov (United States)

Bourke, Jane; Roper, Stephen

2014-10-01

The benefits of the availability and use of medical equipment for medical outcomes are understood by physicians and policymakers alike. However, there is limited understanding of the decision-making processes involved in adopting and using new technologies in health care organisations. Our study focuses on the adoption of medical equipment in Irish general practices which are marked by considerable autonomy in terms of commercial practice and the range of medical services they provide. We examine the adoption of six items of medical equipment taking into account commercial, informational and experiential stimuli. Our analysis is based on primary survey data collected from a sample of 601 general practices in Ireland on practice characteristics and medical equipment use. We use a multivariate Probit to identify commonalities in the determinants of the adoption. Many factors, such as GP and practice characteristics, influence medical equipment adoption. In addition, we find significant and consistent evidence of the influence of learning-by-using effects on the adoption of medical equipment in a general practice setting. Knowledge generated by experiential or applied learning can have commercial, organisational and health care provision benefits in small health care organisations. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Low Complexity Sparse Bayesian Learning for Channel Estimation Using Generalized Mean Field

DEFF Research Database (Denmark)

Pedersen, Niels Lovmand; Manchón, Carles Navarro; Fleury, Bernard Henri

2014-01-01

We derive low complexity versions of a wide range of algorithms for sparse Bayesian learning (SBL) in underdetermined linear systems. The proposed algorithms are obtained by applying the generalized mean field (GMF) inference framework to a generic SBL probabilistic model. In the GMF framework, we...

Subtlety of Ambient-Language Effects in Babbling: A Study of English- and Chinese-Learning Infants at 8, 10, and 12 Months

Science.gov (United States)

Lee, Chia-Cheng; Jhang, Yuna; Chen, Li-mei; Relyea, George; Oller, D. Kimbrough

2016-01-01

Prior research on ambient-language effects in babbling has often suggested infants produce language-specific phonological features within the first year. These results have been questioned in research failing to find such effects and challenging the positive findings on methodological grounds. We studied English- and Chinese-learning infants at 8, 10, and 12 months and found listeners could not detect ambient-language effects in the vast majority of infant utterances, but only in items deemed to be words or to contain canonical syllables that may have made them sound like words with language-specific shapes. Thus, the present research suggests the earliest ambient-language effects may be found in emerging lexical items or in utterances influenced by language-specific features of lexical items. Even the ambient-language effects for infant canonical syllables and words were very small compared with ambient-language effects for meaningless but phonotactically well-formed syllable sequences spoken by adult native speakers of English and Chinese. PMID:28496393

Healthcare System Information at Language Schools for Newly Arrived Immigrants: A Pertinent Setting in Times of Austerity

Science.gov (United States)

Tynell, Lena Lyngholt; Wimmelmann, Camilla Lawaetz; Jervelund, Signe Smith

2017-01-01

Objective: In most European countries, immigrants do not systematically learn about the host countries' healthcare system when arriving. This study investigated how newly arrived immigrants perceived the information they received about the Danish healthcare system. Methods: Immigrants attending a language school in Copenhagen in 2012 received…

Mentorship for newly appointed physicians: a strategy for enhancing patient safety?

Science.gov (United States)

Harrison, Reema; McClean, Serwaa; Lawton, Rebecca; Wright, John; Kay, Clive

2014-09-01

Mentorship is an increasingly popular innovation from business and industry that is being applied in health-care contexts. This paper explores the concept of mentorship for newly appointed physicians in their first substantive senior post, and specifically its utilization to enhance patient safety. Semi-structured face to face and telephone interviews with Medical Directors (n = 5), Deputy Medical Directors (n = 4), and Clinical Directors (n = 6) from 9 acute NHS Trusts in the Yorkshire and Humber region in the north of England. A focused thematic analysis was used. A number of beneficial outcomes were associated with mentorship for newly appointed physicians including greater personal and professional support, organizational commitment, and general well-being. Providing newly appointed senior physicians with support through mentorship was considered to enhance the safety of patient care. Mentorship may prevent or reduce active failures, be used to identify threats in the local working environment, and in the longer term, address latent threats to safety within the organization by encouraging a healthier safety culture. Offering mentorship to all newly appointed physicians in their first substantive post in health care may be a useful strategy to support the development of their clinical, professional, and personal skills in this transitional period that may also enhance the safety of patient care.

How do general practice registrars learn from their clinical experience? A critical incident study.

Science.gov (United States)

Holmwood, C

1997-01-01

This preliminary study of RACGP registrars in the period of subsequent general practice experience examines the types of clinical experiences from which registrars learn, what they learn from the experiences and the process of learning from such experiences. A critical incident method was used on a semi structured interview process. Registrars were asked to recall clinical incidents where they had learnt something of importance. Data were sorted and categorised manually. Nine registrars were interviewed before new categories of data ceased to develop. Registrars learnt from the opportunity to follow up patients. An emotional response to the interaction was an important part of the learning process. Learning from such experiences is haphazard and unstructured. Registrars accessed human resources in response to their clinical difficulties rather than text or electronic based information sources. Registrars should be aware of their emotional responses to interactions with patients; these emotional responses often indicate important learning opportunities. Clinical interactions and resultant learning could be made less haphazard by structuring consultations with patients with specific problems. These learning opportunities should be augmented by the promotion of follow up of patients.

Factors Affecting the Integration of Information Literacy in the Teaching and Learning Processes of General Education Courses

Directory of Open Access Journals (Sweden)

Therdsak Maitaouthong

2011-11-01

Full Text Available This article presents the factors affecting the integration of information literacy in the teaching and learning processes of general education courses at an undergraduate level, where information literacy is used as a tool in the student-centered teaching approach. The research was divided into two phases: (1 The study of factors affecting at a policy level – a qualitative research method conducted through an in-depth interview of the vice president for academic affairs and the Director of the General Education Management Center, and (2 The survey of factors affecting in the teaching and learning processes, which is concluded through the questioning of lecturers of general education courses, and librarians. The qualitative data was analyzed on content, and the quantitative data was analyzed through the use of descriptive statistics, weight of score prioritization and percentage. Two major categories were found to have an impact on integrating information literacy in the teaching and learning of general education courses at an undergraduate level. (1 Six factors at a policy level, namely, institutional policy, administrative structure and system, administrators’ roles, resources and infrastructures, learning resources and supporting programs, and teacher evaluation and development. (2 There are eleven instructional factors: roles of lecturers, roles of librarians, roles of learners, knowledge and understanding of information literacy of lecturers and librarians, cooperation between librarians and lecturers, learning outcomes, teaching plans, teaching methods, teaching activities, teaching aids, and student assessment and evaluation.

On the Matching of Seen and Felt Shape by Newly Sighted Subjects

Directory of Open Access Journals (Sweden)

John Schwenkler

2012-04-01

Full Text Available How do we recognize identities between seen shapes and felt ones? Is this due to associative learning, or intrinsic connections these sensory modalities? We can address this question by testing the capacities of newly sighted subjects to match seen and felt shapes, but only if the subjects can see the objects well enough to form adequate visual representations of their shapes. In light of this, a recent study by R. Held and colleagues fails to demonstrate that their newly sighted subjects' inability to match seen and felt shape was due to a lack of intermodal connections rather than a purely visual deficit, as the subjects may not have been able visually to represent 3D shape in the perspective-invariant manner required for intermodal matching. However, the study could be modified in any of several ways to help avoid this problem.

Superior Generalization Capability of Hardware-Learing Algorithm Developed for Self-Learning Neuron-MOS Neural Networks

Science.gov (United States)

Kondo, Shuhei; Shibata, Tadashi; Ohmi, Tadahiro

1995-02-01

We have investigated the learning performance of the hardware backpropagation (HBP) algorithm, a hardware-oriented learning algorithm developed for the self-learning architecture of neural networks constructed using neuron MOS (metal-oxide-semiconductor) transistors. The solution to finding a mirror symmetry axis in a 4×4 binary pixel array was tested by computer simulation based on the HBP algorithm. Despite the inherent restrictions imposed on the hardware-learning algorithm, HBP exhibits equivalent learning performance to that of the original backpropagation (BP) algorithm when all the pertinent parameters are optimized. Very importantly, we have found that HBP has a superior generalization capability over BP; namely, HBP exhibits higher performance in solving problems that the network has not yet learnt.

Healthcare system information at language schools for newly arrived immigrants

DEFF Research Database (Denmark)

Tynell, Lena Lyngholt; Wimmelmann, Camilla Lawaetz; Jervelund, Signe Smith

2017-01-01

a language school in Copenhagen in 2012 received either a course or written information on the Danish healthcare system and subsequently evaluated this quantitatively. Results: The evaluation revealed a positive appraisal of the course/information provided. Conclusion: In times of austerity, incorporating......Objective: In most European countries, immigrants do not systematically learn about the host countries’ healthcare system when arriving. This study investigated how newly arrived immigrants perceived the information they received about the Danish healthcare system. Method: Immigrants attending...... healthcare information into an already existing language programme may be pertinent for providing immigrants with knowledge on the healthcare system....

Selecting Learning Tasks: Effects of Adaptation and Shared Control on Learning Efficiency and Task Involvement

Science.gov (United States)

Corbalan, Gemma; Kester, Liesbeth; van Merrienboer, Jeroen J. G.

2008-01-01

Complex skill acquisition by performing authentic learning tasks is constrained by limited working memory capacity [Baddeley, A. D. (1992). Working memory. "Science, 255", 556-559]. To prevent cognitive overload, task difficulty and support of each newly selected learning task can be adapted to the learner's competence level and perceived task…

A case sudy of blended learning in a Nordic insurance company : four issues for E-learning at workplace

OpenAIRE

Kudrik, Yulia

2009-01-01

The implementation of technology-enhanced learning has attracted a great interest from the practitioners in the field of workplace learning. But first generation of E-learning turned out not to fulfill its promises to replace time-consuming and high-cost conventional teacher-led training due to objective being on individual learning. Later on, it was realized that collaborative learning may give rise to individual learning.The objective of this thesis is to study a newly introduced notion of ...

Infants' Learning, Memory, and Generalization of Learning for Bimodal Events.

Science.gov (United States)

Morrongiello, Barbara A.; Lasenby, Jennifer; Lee, Naomi

2003-01-01

Two studies examined the impact of temporal synchrony on infants' learning of and memory for sight-sound pairs. Findings indicated that 7-month-olds had no difficulty learning auditory-visual pairs regardless of temporal synchrony, remembering them 10 minutes later and 1 week later. Three-month-olds showed poorer learning in no-synchrony than in…

Observation of the bone mineral density of newly formed bone using rabbits. Compared with newly formed bone around implants and cortical bone

International Nuclear Information System (INIS)

Nakada, Hiroshi; Numata, Yasuko; Sakae, Toshiro; Tamaki, Hiroyuki; Kato, Takao

2009-01-01

There have been many studies reporting that newly formed bone around implants is spongy bone. However, although the morphology is reported as being like spongy bone, it is difficult to discriminate whether the bone quality of newly formed bone appears similar to osteoid or cortical bone; therefore, evaluation of bone quality is required. The aims of this study were to measure the bone mineral density (BMD) values of newly formed bone around implants after 4, 8, 16, 24 and 48 weeks, to represent these values on three-dimensional color mapping (3Dmap), and to evaluate the change in bone quality associated with newly formed bone around implants. The animal experimental protocol of this study was approved by the Ethics Committee for Animal Experiments of our University. This experiment used 20 surface treatment implants (Ti-6Al-4V alloy: 3.1 mm in diameter and 30.0 mm in length) by grit-blasting. They were embedded into surgically created flaws in femurs of 20 New Zealand white rabbits (16 weeks old, male). The rabbits were sacrificed with an ear intravenous overdose of pentobarbital sodium under general anesthesia each period, and the femurs were resected. We measured BMD of newly formed bone around implants and cortical bone using Micro-CT, and the BMD distribution map of 3Dmap (TRI/3D Bon BMD, Ratoc System Engineering). The BMD of cortical bone was 1,026.3±44.3 mg/cm 3 at 4 weeks, 1,023.8±40.9 mg/cm 3 at 8 weeks, 1,048.2±45.6 mg/cm 3 at 16 weeks, 1,067.2±60.2 mg/cm 3 at 24 weeks, and 1,069.3±50.7 mg/cm 3 at 48 weeks after implantation, showing a non-significant increase each period. The BMD of newly formed bone around implants was 296.8±25.6 mg/cm 3 at 4 weeks, 525.0±72.4 mg/cm 3 at 8 weeks, 691.2±26.0 mg/cm 3 at 16 weeks, 776.9±27.7 mg/cm 3 at 24 weeks, and 845.2±23.1 mg/cm 3 at 48 weeks after implantation, showing a significant increase after each period. It was revealed that the color scale of newly formed bone was Low level at 4 weeks, and then it

Practicing on Newly Dead

Directory of Open Access Journals (Sweden)

Jewel Abraham

2015-07-01

Full Text Available A newly dead cadaver simulation is practiced on the physical remains of the dead before the onset of rigor mortis. This technique has potential benefits for providing real-life in-situ experience for novice providers in health care practices. Evolving ethical views in health care brings into question some of the ethical aspects associated with newly dead cadaver simulation in terms of justification for practice, autonomy, consent, and the need of disclosure. A clear statement of policies and procedures on newly dead cadaver simulation has yet to be implemented. Although there are benefits and disadvantages to an in-situ cadaver simulation, such practices should not be carried out in secrecy as there is no compelling evidence that suggests such training as imperative. Secrecy in these practices is a violation of honor code of nursing ethics. As health care providers, practitioners are obliged to be ethically honest and trustworthy to their patients. The author explores the ethical aspects of using newly dead cadaver simulation in training novice nursing providers to gain competency in various lifesaving skills, which otherwise cannot be practiced on a living individual. The author explores multiple views on cadaver simulation in relation to ethical theories and practices such as consent and disclosure to family.

Selective Attention is a Primary Determinant of the Relationship between Working Memory and General Learning Ability in Outbred Mice

Science.gov (United States)

Kolata, Stefan; Light, Kenneth; Grossman, Henya C.; Hale, Gregory; Matzel, Louis D.

2007-01-01

A single factor (i.e., general intelligence) can account for much of an individuals' performance across a wide variety of cognitive tests. However, despite this factor's robustness, the underlying process is still a matter of debate. To address this question, we developed a novel battery of learning tasks to assess the general learning abilities…

Reflections on the newly qualified social worker's journey : From university training to qualified practice

OpenAIRE

Walker, Clare

2014-01-01

This qualitative research study explores the experience of graduating social workers making the transition from university training into work as qualified social work practitioners. Most studies in this area look at the practice readiness of the newly qualified professional. This study looks at the participants’ experience in the work place. How do participants experience this journey of transition? What skills, particularly reflective practice and supervision, learned in training, are import...

Typical design/qualification acceptance criteria for newly installed pipelines and equipment components of VVER-type NPPs

International Nuclear Information System (INIS)

Masopust, R.

2003-01-01

This paper describes in general the typical design/qualification acceptance criteria and seismic acceptance criteria in particular that are applicable for important to safety newly installed pipelines and equipment components of VVER-type already existing NPPs, specifically during the design verification phase of this newly installed equipment. These criteria are currently used for VVER 440-213 and VVER 1000 NPPs in Czech Republic and in Slovakia. The similar criteria are also used in Hungary. (author)

Interference in ballistic motor learning: specificity and role of sensory error signals

DEFF Research Database (Denmark)

Lundbye-Jensen, Jesper; Petersen, Tue Hvass; Rothwell, John C

2011-01-01

Humans are capable of learning numerous motor skills, but newly acquired skills may be abolished by subsequent learning. Here we ask what factors determine whether interference occurs in motor learning. We speculated that interference requires competing processes of synaptic plasticity in overlap......Humans are capable of learning numerous motor skills, but newly acquired skills may be abolished by subsequent learning. Here we ask what factors determine whether interference occurs in motor learning. We speculated that interference requires competing processes of synaptic plasticity...... in overlapping circuits and predicted specificity. To test this, subjects learned a ballistic motor task. Interference was observed following subsequent learning of an accuracy-tracking task, but only if the competing task involved the same muscles and movement direction. Interference was not observed from a non......-learning task suggesting that interference requires competing learning. Subsequent learning of the competing task 4 h after initial learning did not cause interference suggesting disruption of early motor memory consolidation as one possible mechanism underlying interference. Repeated transcranial magnetic...

Working memory training mostly engages general-purpose large-scale networks for learning.

Science.gov (United States)

Salmi, Juha; Nyberg, Lars; Laine, Matti

2018-03-21

The present meta-analytic study examined brain activation changes following working memory (WM) training, a form of cognitive training that has attracted considerable interest. Comparisons with perceptual-motor (PM) learning revealed that WM training engages domain-general large-scale networks for learning encompassing the dorsal attention and salience networks, sensory areas, and striatum. Also the dynamics of the training-induced brain activation changes within these networks showed a high overlap between WM and PM training. The distinguishing feature for WM training was the consistent modulation of the dorso- and ventrolateral prefrontal cortex (DLPFC/VLPFC) activity. The strongest candidate for mediating transfer to similar untrained WM tasks was the frontostriatal system, showing higher striatal and VLPFC activations, and lower DLPFC activations after training. Modulation of transfer-related areas occurred mostly with longer training periods. Overall, our findings place WM training effects into a general perception-action cycle, where some modulations may depend on the specific cognitive demands of a training task. Copyright © 2018 Elsevier Ltd. All rights reserved.

Generalization of Auditory Sensory and Cognitive Learning in Typically Developing Children.

Directory of Open Access Journals (Sweden)

Cristina F B Murphy

research is required to investigate the effects of various stimuli and lengths of training on the generalization of sensory and cognitive learning to literacy skills.

Generalization of Auditory Sensory and Cognitive Learning in Typically Developing Children.

Science.gov (United States)

Murphy, Cristina F B; Moore, David R; Schochat, Eliane

2015-01-01

is required to investigate the effects of various stimuli and lengths of training on the generalization of sensory and cognitive learning to literacy skills.

Making Room for Second Language Phonotactics: Effects of L2 Learning and Environment on First Language Speech Perception.

Science.gov (United States)

Carlson, Matthew T

2018-04-01

Language-specific restrictions on sound sequences in words can lead to automatic perceptual repair of illicit sound sequences. As an example, no Spanish words begin with /s/-consonant sequences ([#sC]), and where necessary (e.g., foreign loanwords) [#sC] is repaired by inserting an initial [e], (e.g. foreign loanwords, cf., esnob, from English snob). As a result, Spanish speakers tend to perceive an illusory [e] before [#sC] sequences. Interestingly, this perceptual illusion is weaker in early Spanish-English bilinguals, whose other language, English, allows [#sC]. The present study explored whether this apparent influence of the English language on Spanish is restricted to early bilinguals, whose early language experience includes a mixture of both languages, or whether later learning of second language (L2) English can also induce a weakening of the first language (L1) perceptual illusion. Two groups of late Spanish-English bilinguals, immersed in Spanish or English, were tested on the same Spanish AX (same-different) discrimination task used in a study by Carlson et al., (2016) and their results compared with the Spanish monolinguals from Carlson et al.'s study. Like early bilinguals, late bilinguals exhibited a reduced impact of perceptual prothesis on discrimination accuracy. Additionally, late bilinguals, particularly in English immersion, were slowest when responding against the Spanish perceptual illusion. Robust L1 perceptual illusions thus appear to be malleable in the face of later L2 learning. It is argued that these results are consonant with the need for late bilinguals to navigate alternative, conflicting representations of the same acoustic material, even in unilingual L1 speech perception tasks.

Newly graduated nurses' use of knowledge sources

DEFF Research Database (Denmark)

Voldbjerg, Siri Lygum; Grønkjaer, Mette; Sørensen, Erik Elgaard

2016-01-01

AIM: To advance evidence on newly graduated nurses' use of knowledge sources. BACKGROUND: Clinical decisions need to be evidence-based and understanding the knowledge sources that newly graduated nurses use will inform both education and practice. Qualitative studies on newly graduated nurses' use...... underscoring progression in knowledge use and perception of competence and confidence among newly graduated nurses. CONCLUSION: The transition phase, feeling of confidence and ability to use critical thinking and reflection, has a great impact on knowledge sources incorporated in clinical decisions....... The synthesis accentuates that for use of newly graduated nurses' qualifications and skills in evidence-based practice, clinical practice needs to provide a supportive environment which nurtures critical thinking and questions and articulates use of multiple knowledge sources....

MRSA model of learning and adaptation: a qualitative study among the general public

Science.gov (United States)

2012-01-01

Background More people in the US now die from Methicillin Resistant Staphylococcus aureus (MRSA) infections than from HIV/AIDS. Often acquired in healthcare facilities or during healthcare procedures, the extremely high incidence of MRSA infections and the dangerously low levels of literacy regarding antibiotic resistance in the general public are on a collision course. Traditional medical approaches to infection control and the conventional attitude healthcare practitioners adopt toward public education are no longer adequate to avoid this collision. This study helps us understand how people acquire and process new information and then adapt behaviours based on learning. Methods Using constructivist theory, semi-structured face-to-face and phone interviews were conducted to gather pertinent data. This allowed participants to tell their stories so their experiences could deepen our understanding of this crucial health issue. Interview transcripts were analysed using grounded theory and sensitizing concepts. Results Our findings were classified into two main categories, each of which in turn included three subthemes. First, in the category of Learning, we identified how individuals used their Experiences with MRSA, to answer the questions: What was learned? and, How did learning occur? The second category, Adaptation gave us insights into Self-reliance, Reliance on others, and Reflections on the MRSA journey. Conclusions This study underscores the critical importance of educational programs for patients, and improved continuing education for healthcare providers. Five specific results of this study can reduce the vacuum that currently exists between the knowledge and information available to healthcare professionals, and how that information is conveyed to the public. These points include: 1) a common model of MRSA learning and adaptation; 2) the self-directed nature of adult learning; 3) the focus on general MRSA information, care and prevention, and antibiotic

MRSA model of learning and adaptation: a qualitative study among the general public

Directory of Open Access Journals (Sweden)

Rohde Rodney E

2012-04-01

Full Text Available Abstract Background More people in the US now die from Methicillin Resistant Staphylococcus aureus (MRSA infections than from HIV/AIDS. Often acquired in healthcare facilities or during healthcare procedures, the extremely high incidence of MRSA infections and the dangerously low levels of literacy regarding antibiotic resistance in the general public are on a collision course. Traditional medical approaches to infection control and the conventional attitude healthcare practitioners adopt toward public education are no longer adequate to avoid this collision. This study helps us understand how people acquire and process new information and then adapt behaviours based on learning. Methods Using constructivist theory, semi-structured face-to-face and phone interviews were conducted to gather pertinent data. This allowed participants to tell their stories so their experiences could deepen our understanding of this crucial health issue. Interview transcripts were analysed using grounded theory and sensitizing concepts. Results Our findings were classified into two main categories, each of which in turn included three subthemes. First, in the category of Learning, we identified how individuals used their Experiences with MRSA, to answer the questions: What was learned? and, How did learning occur? The second category, Adaptation gave us insights into Self-reliance, Reliance on others, and Reflections on the MRSA journey. Conclusions This study underscores the critical importance of educational programs for patients, and improved continuing education for healthcare providers. Five specific results of this study can reduce the vacuum that currently exists between the knowledge and information available to healthcare professionals, and how that information is conveyed to the public. These points include: 1 a common model of MRSA learning and adaptation; 2 the self-directed nature of adult learning; 3 the focus on general MRSA information, care and

Big earth-observation data analytics for modelling pan-tropical land-use change trajectories for newly deforested areas

Science.gov (United States)

Coca Castro, Alejandro; Reymondin, Louis; Rebetez, Julien; Fabio Satizabal Mejia, Hector; Perez-Uribe, Andres; Mulligan, Mark; Smith, Thomas; Hyman, Glenn

2017-04-01

Global land use monitoring is important to the the Sustainable Development Goals (SDGs). The latest advances in storage and manipulation of big earth-observation data have been key to developing multiple operational forest monitoring initiatives such as FORMA, Terra-i and Global Forest Change. Although the data provided by these systems are useful for identifying and estimating newly deforested areas (from 2000), they do not provide details about the land use to which these deforested areas are transitioned. This information is critical to understand the biodiversity and ecosystem services impact of deforestation and the resulting impacts on human wellbeing, locally and downstream. With the aim of contributing to current forest monitoring initiatives, this research presents a set of experimental case studies in Latin America which integrate existing land-change information derived from remote sensing image and aerial photography/ground datasets, high-temporal resolution MODIS data, advanced machine learning (i.e deep learning) and big data technologies (i.e. Hadoop and Spark) to assess land-use change trajectories in newly deforested areas in near real time.

REM sleep selectively prunes and maintains new synapses in development and learning.

Science.gov (United States)

Li, Wei; Ma, Lei; Yang, Guang; Gan, Wen-Biao

2017-03-01

The functions and underlying mechanisms of rapid eye movement (REM) sleep remain unclear. Here we show that REM sleep prunes newly formed postsynaptic dendritic spines of layer 5 pyramidal neurons in the mouse motor cortex during development and motor learning. This REM sleep-dependent elimination of new spines facilitates subsequent spine formation during development and when a new motor task is learned, indicating a role for REM sleep in pruning to balance the number of new spines formed over time. Moreover, REM sleep also strengthens and maintains newly formed spines, which are critical for neuronal circuit development and behavioral improvement after learning. We further show that dendritic calcium spikes arising during REM sleep are important for pruning and strengthening new spines. Together, these findings indicate that REM sleep has multifaceted functions in brain development, learning and memory consolidation by selectively eliminating and maintaining newly formed synapses via dendritic calcium spike-dependent mechanisms.

Making reasonable and achievable adjustments: the contributions of learning disability liaison nurses in 'Getting it right' for people with learning disabilities receiving general hospitals care.

Science.gov (United States)

MacArthur, Juliet; Brown, Michael; McKechanie, Andrew; Mack, Siobhan; Hayes, Matthew; Fletcher, Joan

2015-07-01

To examine the role of learning disability liaison nurses in facilitating reasonable and achievable adjustments to support access to general hospital services for people with learning disabilities. Mixed methods study involving four health boards in Scotland with established Learning Disability Liaison Nurses (LDLN) Services. Quantitative data of all liaison nursing referrals over 18 months and qualitative data collected from stakeholders with experience of using the liaison services within the previous 3-6 months. Six liaison nurses collected quantitative data of 323 referrals and activity between September 2008-March 2010. Interviews and focus groups were held with 85 participants included adults with learning disabilities (n = 5), carers (n = 16), primary care (n = 39), general hospital (n = 19) and liaison nurses (n = 6). Facilitating reasonable and achievable adjustments was an important element of the LDLNs' role and focussed on access to information; adjustments to care; appropriate environment of care; ensuring equitable care; identifying patient need; meeting patient needs; and specialist tools/resources. Ensuring that reasonable adjustments are made in the general hospital setting promotes person-centred care and equal health outcomes for people with a learning disability. This view accords with 'Getting it right' charter produced by the UK Charity Mencap which argues that healthcare professionals need support, encouragement and guidance to make reasonable adjustments for this group. LDLNs have an important and increasing role to play in advising on and establishing adjustments that are both reasonable and achievable. © 2015 John Wiley & Sons Ltd.

Behavioral tagging is a general mechanism of long-term memory formation.

Science.gov (United States)

Ballarini, Fabricio; Moncada, Diego; Martinez, Maria Cecilia; Alen, Nadia; Viola, Haydée

2009-08-25

In daily life, memories are intertwined events. Little is known about the mechanisms involved in their interactions. Using two hippocampus-dependent (spatial object recognition and contextual fear conditioning) and one hippocampus-independent (conditioned taste aversion) learning tasks, we show that in rats subjected to weak training protocols that induce solely short term memory (STM), long term memory (LTM) is promoted and formed only if training sessions took place in contingence with a novel, but not familiar, experience occurring during a critical time window around training. This process requires newly synthesized proteins induced by novelty and reveals a general mechanism of LTM formation that begins with the setting of a "learning tag" established by a weak training. These findings represent the first comprehensive set of evidences indicating the existence of a behavioral tagging process that in analogy to the synaptic tagging and capture process, need the creation of a transient, protein synthesis-independent, and input specific tag.

Making ATLAS Data from CERN Accessible to the General Public: The Development and Evaluation of a Learning Resource in Experimental Particle Physics

CERN Document Server

AUTHOR|(CDS)2243922; Ekelin, Svea Magdalena; Lund-Jensen, Bengt; Christiansen, Iben

2017-08-15

In 2016, the ATLAS experiment at CERN released data from 100 trillion proton-proton collisions to the general public. In connection to this release the ATLAS Outreach group has developed several tools for visualizing and analyzing the data, one of which is a Histogram analyzer. The focus of this project is to bridge the gap between the general public's knowledge in physics and what is needed to use this Histogram analyzer. The project consists of both the development and an evaluation of a learning resource that explains experimental particle physics for a general public audience. The learning resource is a website making use of analogies and two perspectives on learning: Variation Theory and Cognitive Load Theory. The evaluation of the website was done using a survey with 10 respondents and it focused on whether analogies and the perspectives on learning helped their understanding. In general the respondents found the analogies to be helpful for their learning, and to some degree they found the explanations ...

Communication and mental health in general practice: physicians' self-perceived learning needs and self-efficacy

OpenAIRE

Stensrud, Tonje L; Mjaaland, Trond A; Finset, Arnstein

2012-01-01

Background General practitioners (GPs) often see patients presenting with mental health problems, but their training regarding mental health treatment varies. GPs' communication skills are of particular importance in these consultations, and communication skills training of GPs has been found to improve patients' mental health. To tailor a communication skills training by basing it on GPs' learning needs and self-efficacy, thereby maximising learning, we conducted a questionnaire study.

Scandinavian exceptionalism? Civic integration and labour market activation for newly arrived immigrants.

Science.gov (United States)

Breidahl, Karen N

2017-01-01

Since the late 1990s, a wide range of so-called new civic integration policies aimed at civilizing or disciplining newcomers have been introduced. Consequently, migration scholars have discussed whether a converging restrictive 'civic turn' has taken place in Western Europe or whether national models have been resilient: Based on an in-depth historical and comparative analysis of labour market activation policies targeting newly arrived immigrants in Sweden, Norway, and Denmark since the early 1990s, the article contributes to the overall question: To what extent do the institutional pathways of the Scandinavian welfare states prevail when confronted with newcomers? Activation policies targeting newly arrived immigrants exemplifies how the ambition of states to promote functional, individual autonomy is also an important, ongoing process in diverse policy areas of the welfare state and not restricted to early integration instruments. While the Scandinavian welfare states differ on a number of counts with respect to immigration control, national integration philosophies and citizenship policies, the article outlines how activation policies aimed at newly arrived immigrants share several features. One of the key factors in this turn involves path dependency from, among others, a lengthy tradition for strong state involvement and norms about employment. Another factor in this turn involves transnational policy learning. On some points, national versions of these policies are also found due to country-specific citizenship traditions, integration philosophies and party political constellations.

An application of programmatic assessment for learning (PAL) system for general practice training.

Science.gov (United States)

Schuwirth, Lambert; Valentine, Nyoli; Dilena, Paul

2017-01-01

Aim: Programmatic assessment for learning (PAL) is becoming more and more popular as a concept but its implementation is not without problems. In this paper we describe the design principles behind a PAL program in a general practice training context. Design principles: The PAL program was designed to optimise the meaningfulness of assessment information for the registrar and to make him/her use that information to self regulate their learning. The main principles in the program were cognitivist and transformative. The main cognitive principles we used were fostering the understanding of deep structures and stimulating transfer by making registrars constantly connect practice experiences with background knowledge. Ericsson's deliberate practice approach was built in with regard to the provision of feedback combined with Pintrich's model of self regulation. Mezirow's transformative learning and insights from social network theory on collaborative learning were used to support the registrars in their development to become GP professionals. Finally the principal of test enhanced learning was optimised. Epilogue: We have provided this example explain the design decisions behind our program, but not want to present our program as the solution to any given situation.

Effect of metformin therapy on the levels of certain adipose tissue hormones and mediators of nonspecific generalized inflammation in patients with newly diagnosed type 2 diabetes

Directory of Open Access Journals (Sweden)

A.M. Urbanovych

2015-05-01

Full Text Available The aim of the study was to investigate the influence of the drug metformin on the levels of adipose tissue hormones and generalized nonspecific mediators of inflammation in type 2 diabetes. 38 patients with newly diagnosed type 2 diabetes were followed up before and after 12 months of hypoglycemic monotherapy with glucophage. The results indicate that the normalization of carbohydrate metabolism indices and decreased body weight of patients in the presence of the therapy is due not only to direct effects of metformin in improving glucose uptake by peripheral tissues, but by the ability of the drug to modulate adipocytokine secretion.

Mosaic model for sensorimotor learning and control.

Science.gov (United States)

Haruno, M; Wolpert, D M; Kawato, M

2001-10-01

Humans demonstrate a remarkable ability to generate accurate and appropriate motor behavior under many different and often uncertain environmental conditions. We previously proposed a new modular architecture, the modular selection and identification for control (MOSAIC) model, for motor learning and control based on multiple pairs of forward (predictor) and inverse (controller) models. The architecture simultaneously learns the multiple inverse models necessary for control as well as how to select the set of inverse models appropriate for a given environment. It combines both feedforward and feedback sensorimotor information so that the controllers can be selected both prior to movement and subsequently during movement. This article extends and evaluates the MOSAIC architecture in the following respects. The learning in the architecture was implemented by both the original gradient-descent method and the expectation-maximization (EM) algorithm. Unlike gradient descent, the newly derived EM algorithm is robust to the initial starting conditions and learning parameters. Second, simulations of an object manipulation task prove that the architecture can learn to manipulate multiple objects and switch between them appropriately. Moreover, after learning, the model shows generalization to novel objects whose dynamics lie within the polyhedra of already learned dynamics. Finally, when each of the dynamics is associated with a particular object shape, the model is able to select the appropriate controller before movement execution. When presented with a novel shape-dynamic pairing, inappropriate activation of modules is observed followed by on-line correction.

Learning Competencies Used In the U.S. Navy’s Virtual Schoolhouse Learning Environment

Science.gov (United States)

2016-12-01

system for which they are receiving training. Self -paced practice on newly-learned skills is also typically unavailable in a Navy classroom setting... communication and collaborative skills by using virtual learning applications. We must understand these differences and opportunities in order to design... self - esteem , and ability to control his or her own destiny. Students who are confident in their own abilities are more likely to succeed

Developing a Supportive Learning Environment in a Newly Formed Organisation

Science.gov (United States)

Lancaster, Sue; Di Milia, Lee

2015-01-01

Purpose: The aim of this study was to examine the factors that employees perceived were important in creating a supportive learning environment in a recently merged organisation. The study provides rich qualitative data from the employees' perspective. Design/methodology/approach: This case study used a qualitative phenomenological constructivist…

The Development of Learning Activities in Srijanwittaya General Buddhist Scripture School: A Participatory Action Research

Directory of Open Access Journals (Sweden)

Phrachakrapol Pongsir

2017-06-01

Full Text Available The objectives of this research were to study: 1 the former and present conditions, problem, expectations, possible alternative solutions to solve problems, achieve expectations and the choices made in formulating an action plan for development of learning activity. 2 the results of both expected and unexpected changes from individual, group and organization, also the new knowledge created from learning by doing processes with participatory action research. The 17 participants consist of administrators, teachers, school committee and 5 stakeholders. Such as administrative officer, caretaker, community leader and representative alumni. Research instruments included an observation form, in-depth interview, and document examination. The research finding were as follows: Srijanwittaya general buddhist scripture school lack of equipment for teaching and learning and modern teaching aids. Teachers have not been development for 21st century learning skills. These were the cause of: bored lesson, low student achievement and school has not passed the third quality evaluation by the office for National Education Standards and Quality Assessment (Public Organization Researcher focus on solving problem by 4 projects were Follows: 1 promotion and development of teacher project 2 developing school environment project. 3 encourage collaboration for school development project and 4 improving manage potential for school based management project. After improving found that Srijanwittaya general buddhist scripture school, Loei province passed the quality evaluation and higher students achievement. Moreover, researcher and participants were learnt from research practice such as knowledge and experience. The new knowledge had 3 characteristics as follows: 1 new knowledge on participatory performance of school context 2 new knowledge by 5 steps of participle learning principal and 3 new knowledge by lesson learned visualizing from “SRIJAN Model”.

Modeling Learning in Doubly Multilevel Binary Longitudinal Data Using Generalized Linear Mixed Models: An Application to Measuring and Explaining Word Learning.

Science.gov (United States)

Cho, Sun-Joo; Goodwin, Amanda P

2016-04-01

When word learning is supported by instruction in experimental studies for adolescents, word knowledge outcomes tend to be collected from complex data structure, such as multiple aspects of word knowledge, multilevel reader data, multilevel item data, longitudinal design, and multiple groups. This study illustrates how generalized linear mixed models can be used to measure and explain word learning for data having such complexity. Results from this application provide deeper understanding of word knowledge than could be attained from simpler models and show that word knowledge is multidimensional and depends on word characteristics and instructional contexts.

A learning collaborative of CMHCs and CHCs to support integration of behavioral health and general medical care.

Science.gov (United States)

Vannoy, Steven D; Mauer, Barbara; Kern, John; Girn, Kamaljeet; Ingoglia, Charles; Campbell, Jeannie; Galbreath, Laura; Unützer, Jürgen

2011-07-01

Integration of general medical and mental health services is a growing priority for safety-net providers. The authors describe a project that established a one-year learning collaborative focused on integration of services between community health centers (CHCs) and community mental health centers (CMHCs). Specific targets were treatment for general medical and psychiatric symptoms related to depression, bipolar disorder, alcohol use disorders, and metabolic syndrome. This observational study used mixed methods. Quantitative measures included 15 patient-level health indicators, practice self-assessment of resources and support for chronic disease self-management, and participant satisfaction. Sixteen CHC-CMHC pairs were selected for the learning collaborative series. One pair dropped out because of personnel turnover. All teams increased capacity on one or more patient health indicators. CHCs scored higher than CMHCs on support for chronic disease self-management. Participation in the learning collaborative increased self-assessment scores for CHCs and CMHCs. Participant satisfaction was high. Observations by faculty indicate that quality improvement challenges included tracking patient-level outcomes, workforce issues, and cross-agency communication. Even though numerous systemic barriers were encountered, the findings support existing literature indicating that the learning collaborative is a viable quality improvement approach for enhancing integration of general medical and mental health services between CHCs and CMHCs. Real-world implementation of evidence-based guidelines presents challenges often absent in research. Technical resources and support, a stable workforce with adequate training, and adequate opportunities for collaborator communications are particular challenges for integrating behavioral and general medical services across CHCs and CMHCs.

Promoting Active Learning in Calculus and General Physics through Interactive and Media-Enhanced Lectures

Directory of Open Access Journals (Sweden)

Guoqing Tang

2004-02-01

Full Text Available In this paper we present an approach of incorporating interactive and media-enhanced lectures to promote active learning in Calculus and General Physics courses. The pedagogical practice of using interactive techniques in lectures to require "heads-on" and "hands-on" learning, and involve students more as active participants than passive receivers is a part of academic curricular reform efforts undertaken currently by the mathematics, physics and chemistry departments at North Carolina A&T State University under the NSF funded project "Talent-21: Gateway for Advancing Science and Mathematics Talents."

The Development Needs of Newly Appointed Senior School Leaders in the Western Cape South Africa: A Case Study

Directory of Open Access Journals (Sweden)

Nelius Jansen van Vuuren

2017-12-01

Full Text Available The essential role that senior school leaders play in school leadership teams to ensure effective strategic leadership in schools has been the subject of intense discussion for many years. Crucial to this debate is the establishment of professional learning and leadership approaches for newly appointed senior school leaders. Recommendations for policy and practice highlight the importance of appropriate, multifaceted, developmental support initiatives for newly appointed school leaders. In many countries, including South Africa, a teaching qualification and, in most cases, extensive teaching experience is the only requirement for being appointed as a senior school leader in a school. This tends to suggest that no further professional development is required for newly appointed school leaders, the problem addressed in this paper. This paper reports on the main findings of the perceived development needs of newly appointed senior school leaders in the Western Cape, South Africa, and suggests that school leaders occupy a unique and specialist role in education, which requires relevant and specific preparation to support effective leadership. The respondents of this study report a lack of contextualised training and support before and after their appointment in their new roles creating unique development needs. This paper, therefore, employs a mixed-method approach to gather data to understand the perceived needs of twenty newly appointed senior school leaders in the Western Cape, South Africa.

Development of a general learning algorithm with applications in nuclear reactor systems

Energy Technology Data Exchange (ETDEWEB)

Brittain, C.R.; Otaduy, P.J.; Perez, R.B.

1989-12-01

The objective of this study was development of a generalized learning algorithm that can learn to predict a particular feature of a process by observation of a set of representative input examples. The algorithm uses pattern matching and statistical analysis techniques to find a functional relationship between descriptive attributes of the input examples and the feature to be predicted. The algorithm was tested by applying it to a set of examples consisting of performance descriptions for 277 fuel cycles of Oak Ridge National Laboratory's High Flux Isotope Reactor (HFIR). The program learned to predict the critical rod position for the HFIR from core configuration data prior to reactor startup. The functional relationship bases its predictions on initial core reactivity, the number of certain targets placed in the center of the reactor, and the total exposure of the control plates. Twelve characteristic fuel cycle clusters were identified. Nine fuel cycles were diagnosed as having noisy data, and one could not be predicted by the functional relationship. 13 refs., 6 figs.

Development of a general learning algorithm with applications in nuclear reactor systems

International Nuclear Information System (INIS)

Brittain, C.R.; Otaduy, P.J.; Perez, R.B.

1989-12-01

The objective of this study was development of a generalized learning algorithm that can learn to predict a particular feature of a process by observation of a set of representative input examples. The algorithm uses pattern matching and statistical analysis techniques to find a functional relationship between descriptive attributes of the input examples and the feature to be predicted. The algorithm was tested by applying it to a set of examples consisting of performance descriptions for 277 fuel cycles of Oak Ridge National Laboratory's High Flux Isotope Reactor (HFIR). The program learned to predict the critical rod position for the HFIR from core configuration data prior to reactor startup. The functional relationship bases its predictions on initial core reactivity, the number of certain targets placed in the center of the reactor, and the total exposure of the control plates. Twelve characteristic fuel cycle clusters were identified. Nine fuel cycles were diagnosed as having noisy data, and one could not be predicted by the functional relationship. 13 refs., 6 figs

Entry into Nursing: An Ethnographic Study of Newly Qualified Nurses Taking on the Nursing Role in a Hospital Setting

Directory of Open Access Journals (Sweden)

Mari Skancke Bjerknes

2012-01-01

Full Text Available The transition from student to working nurse has long been recognized as challenging. This paper presents the findings of research into the opportunities and limitations encountered by newly qualified nurses when taking on the nursing role. The study had an ethnographic design. Observation, interviews, and document analysis were used to gain insight into nurses' daily work from the perspective of recently graduated nurses. Thirteen nurses were monitored closely during their first year in a hospital setting in Norway. These new nurses generally entered the field with empathy for their patients, enthusiasm for the profession, and readiness to learn more about being a good nurse. However, their more experienced colleagues seemed to neither respect nor nurture this attitude. The new nurses experienced heavier responsibilities than expected, fragmentation of patient care, and stressful interactions with colleagues. The lack of a supportive work environment and role models increased the new nurses' experience of overwhelming responsibility in their daily work situations. The nurses learned to cope the hard way, despite the organizational culture, not because of it. Adjusting the profession's expectations of new nurses, and offering good role models and more comprehensive support programmes, would markedly ease the transition for new nurses.

Characterizing Engineering Learners' Preferences for Active and Passive Learning Methods

Science.gov (United States)

Magana, Alejandra J.; Vieira, Camilo; Boutin, Mireille

2018-01-01

This paper studies electrical engineering learners' preferences for learning methods with various degrees of activity. Less active learning methods such as homework and peer reviews are investigated, as well as a newly introduced very active (constructive) learning method called "slectures," and some others. The results suggest that…

Benefits for Voice Learning Caused by Concurrent Faces Develop over Time.

Science.gov (United States)

Zäske, Romi; Mühl, Constanze; Schweinberger, Stefan R

2015-01-01

Recognition of personally familiar voices benefits from the concurrent presentation of the corresponding speakers' faces. This effect of audiovisual integration is most pronounced for voices combined with dynamic articulating faces. However, it is unclear if learning unfamiliar voices also benefits from audiovisual face-voice integration or, alternatively, is hampered by attentional capture of faces, i.e., "face-overshadowing". In six study-test cycles we compared the recognition of newly-learned voices following unimodal voice learning vs. bimodal face-voice learning with either static (Exp. 1) or dynamic articulating faces (Exp. 2). Voice recognition accuracies significantly increased for bimodal learning across study-test cycles while remaining stable for unimodal learning, as reflected in numerical costs of bimodal relative to unimodal voice learning in the first two study-test cycles and benefits in the last two cycles. This was independent of whether faces were static images (Exp. 1) or dynamic videos (Exp. 2). In both experiments, slower reaction times to voices previously studied with faces compared to voices only may result from visual search for faces during memory retrieval. A general decrease of reaction times across study-test cycles suggests facilitated recognition with more speaker repetitions. Overall, our data suggest two simultaneous and opposing mechanisms during bimodal face-voice learning: while attentional capture of faces may initially impede voice learning, audiovisual integration may facilitate it thereafter.

Triangular relationship between sleep spindle activity, general cognitive ability and the efficiency of declarative learning.

Directory of Open Access Journals (Sweden)

Caroline Lustenberger

Full Text Available EEG sleep spindle activity (SpA during non-rapid eye movement (NREM sleep has been reported to be associated with measures of intelligence and overnight performance improvements. The reticular nucleus of the thalamus is generating sleep spindles in interaction with thalamocortical connections. The same system enables efficient encoding and processing during wakefulness. Thus, we examined if the triangular relationship between SpA, measures of intelligence and declarative learning reflect the efficiency of the thalamocortical system. As expected, SpA was associated with general cognitive ability, e.g. information processing speed. SpA was also associated with learning efficiency, however, not with overnight performance improvement in a declarative memory task. SpA might therefore reflect the efficiency of the thalamocortical network and can be seen as a marker for learning during encoding in wakefulness, i.e. learning efficiency.

Critical thinking dispositions among newly graduated nurses.

Science.gov (United States)

Wangensteen, Sigrid; Johansson, Inger S; Björkström, Monica E; Nordström, Gun

2010-10-01

The aim of the study was to describe critical thinking dispositions among newly graduated nurses in Norway, and to study whether background data had any impact on critical thinking dispositions. Competence in critical thinking is one of the expectations of nursing education. Critical thinkers are described as well-informed, inquisitive, open-minded and orderly in complex matters. Critical thinking competence has thus been designated as an outcome for judging the quality of nursing education programmes and for the development of clinical judgement. The ability to think critically is also described as reducing the research-practice gap and fostering evidence-based nursing. A cross-sectional descriptive study was performed. The data were collected between October 2006 and April 2007 using the California Critical Thinking Disposition Inventory. The response rate was 33% (n = 618). Pearson's chi-square tests were used to analyse the data. Nearly 80% of the respondents reported a positive disposition towards critical thinking. The highest mean score was on the Inquisitiveness subscale and the lowest on the Truth-seeking subscale. A statistically significant higher proportion of nurses with high critical thinking scores were found among those older than 30 years, those with university education prior to nursing education, and those working in community health care. Nurse leaders and nurse teachers should encourage and nurture critical thinking among newly graduated nurses and nursing students. The low Truth-seeking scores found may be a result of traditional teaching strategies in nursing education and might indicate a need for more student-active learning models. © 2010 The Authors. Journal of Advanced Nursing © 2010 Blackwell Publishing Ltd.

Applying Universal Design for Learning and the Inclusion Spectrum for Students with Severe Disabilities in General Physical Education

Science.gov (United States)

Grenier, Michelle; Miller, Nancy; Black, Ken

2017-01-01

General physical education (GPE) affords many opportunities for students with and without disabilities to interact and develop positive peer relationships. This case study describes one teacher's use of collaborative practices, universal design for learning (UDL), and the inclusion spectrum to create an accessible learning environment in which the…

Inquiry and Blended Learning Based Learning Material Development for Improving Student Achievement on General Physics I of Mathematics and Natural Science of State University of Medan

Science.gov (United States)

Motlan; Sinulinggga, Karya; Siagian, Henok

2016-01-01

The aim of this research is to determine if inquiry and blended learning based materials can improve student's achievement. The learning materials are: book, worksheet, and test, website, etc. The type of this research is quasi experiment using two-group pretest posttest design. The population is all students of first year who take general physics…

Cross-Linking Mast Cell Specific Gangliosides Stimulates the Release of Newly Formed Lipid Mediators and Newly Synthesized Cytokines

Directory of Open Access Journals (Sweden)

Edismauro Garcia Freitas Filho

2016-01-01

Full Text Available Mast cells are immunoregulatory cells that participate in inflammatory processes. Cross-linking mast cell specific GD1b derived gangliosides by mAbAA4 results in partial activation of mast cells without the release of preformed mediators. The present study examines the release of newly formed and newly synthesized mediators following ganglioside cross-linking. Cross-linking the gangliosides with mAbAA4 released the newly formed lipid mediators, prostaglandins D2 and E2, without release of leukotrienes B4 and C4. The effect of cross-linking these gangliosides on the activation of enzymes in the arachidonate cascade was then investigated. Ganglioside cross-linking resulted in phosphorylation of cytosolic phospholipase A2 and increased expression of cyclooxygenase-2. Translocation of 5-lipoxygenase from the cytosol to the nucleus was not induced by ganglioside cross-linking. Cross-linking of GD1b derived gangliosides also resulted in the release of the newly synthesized mediators, interleukin-4, interleukin-6, and TNF-α. The effect of cross-linking the gangliosides on the MAP kinase pathway was then investigated. Cross-linking the gangliosides induced the phosphorylation of ERK1/2, JNK1/2, and p38 as well as activating both NFκB and NFAT in a Syk-dependent manner. Therefore, cross-linking the mast cell specific GD1b derived gangliosides results in the activation of signaling pathways that culminate with the release of newly formed and newly synthesized mediators.

Newly Homeless Youth Typically Return Home

OpenAIRE

Milburn, Norweeta G.; Rosenthal, Doreen; Rotheram-Borus, Mary Jane; Mallett, Shelley; Batterham, Philip; Rice, Eric; Solorio, Rosa

2007-01-01

165 newly homeless adolescents from Melbourne, Australia and 261 from Los Angeles, United States were surveyed and followed for two years. Most newly homeless adolescents returned home (70% U.S., 47% Australia) for significant amounts of time (39% U.S., 17% Australia more than 12 months) within two years of becoming homeless.

Stroop effects from newly learned color words: effects of memory consolidation and episodic context.

Science.gov (United States)

Geukes, Sebastian; Gaskell, M Gareth; Zwitserlood, Pienie

2015-01-01

The Stroop task is an excellent tool to test whether reading a word automatically activates its associated meaning, and it has been widely used in mono- and bilingual contexts. Despite of its ubiquity, the task has not yet been employed to test the automaticity of recently established word-concept links in novel-word-learning studies, under strict experimental control of learning and testing conditions. In three experiments, we thus paired novel words with native language (German) color words via lexical association and subsequently tested these words in a manual version of the Stroop task. Two crucial findings emerged: When novel word Stroop trials appeared intermixed among native-word trials, the novel-word Stroop effect was observed immediately after the learning phase. If no native color words were present in a Stroop block, the novel-word Stroop effect only emerged 24 h later. These results suggest that the automatic availability of a novel word's meaning depends either on supportive context from the learning episode and/or on sufficient time for memory consolidation. We discuss how these results can be reconciled with the complementary learning systems account of word learning.

Stroop effects from newly learned color words: Effects of memory consolidation and episodic context

Directory of Open Access Journals (Sweden)

Sebastian eGeukes

2015-03-01

Full Text Available The Stroop task is an excellent tool to test whether reading a word automatically activates its associated meaning, and it has been widely used in mono- and bilingual contexts. Despite of its ubiquity, the task has not yet been employed to test the automaticity of recently established word-concept links in novel-word-learning studies, under strict experimental control of learning and testing conditions. In three experiments, we thus paired novel words with native language (German color words via lexical association and subsequently tested these words in a manual version of the Stroop task. Two crucial findings emerged: When novel word Stroop trials appeared intermixed among native-word trials, the novel-word Stroop effect was observed immediately after the learning phase. If no native color words were present in a Stroop block, the novel-word Stroop effect only emerged 24 hours later. These results suggest that the automatic availability of a novel word’s meaning depends either on supportive context from the learning episode and/or on sufficient time for memory consolidation. We discuss how these results can be reconciled with the complementary learning systems account of word learning.

Stroop effects from newly learned color words: effects of memory consolidation and episodic context

Science.gov (United States)

Geukes, Sebastian; Gaskell, M. Gareth; Zwitserlood, Pienie

2015-01-01

The Stroop task is an excellent tool to test whether reading a word automatically activates its associated meaning, and it has been widely used in mono- and bilingual contexts. Despite of its ubiquity, the task has not yet been employed to test the automaticity of recently established word-concept links in novel-word-learning studies, under strict experimental control of learning and testing conditions. In three experiments, we thus paired novel words with native language (German) color words via lexical association and subsequently tested these words in a manual version of the Stroop task. Two crucial findings emerged: When novel word Stroop trials appeared intermixed among native-word trials, the novel-word Stroop effect was observed immediately after the learning phase. If no native color words were present in a Stroop block, the novel-word Stroop effect only emerged 24 h later. These results suggest that the automatic availability of a novel word's meaning depends either on supportive context from the learning episode and/or on sufficient time for memory consolidation. We discuss how these results can be reconciled with the complementary learning systems account of word learning. PMID:25814973

Individual and social learning processes involved in the acquisition and generalization of tool use in macaques

Science.gov (United States)

Macellini, S.; Maranesi, M.; Bonini, L.; Simone, L.; Rozzi, S.; Ferrari, P. F.; Fogassi, L.

2012-01-01

Macaques can efficiently use several tools, but their capacity to discriminate the relevant physical features of a tool and the social factors contributing to their acquisition are still poorly explored. In a series of studies, we investigated macaques' ability to generalize the use of a stick as a tool to new objects having different physical features (study 1), or to new contexts, requiring them to adapt the previously learned motor strategy (study 2). We then assessed whether the observation of a skilled model might facilitate tool-use learning by naive observer monkeys (study 3). Results of study 1 and study 2 showed that monkeys trained to use a tool generalize this ability to tools of different shape and length, and learn to adapt their motor strategy to a new task. Study 3 demonstrated that observing a skilled model increases the observers' manipulations of a stick, thus facilitating the individual discovery of the relevant properties of this object as a tool. These findings support the view that in macaques, the motor system can be modified through tool use and that it has a limited capacity to adjust the learnt motor skills to a new context. Social factors, although important to facilitate the interaction with tools, are not crucial for tool-use learning. PMID:22106424

A Novel Approach toward Fuzzy Generalized Bi-Ideals in Ordered Semigroups

Directory of Open Access Journals (Sweden)

Faiz Muhammad Khan

2014-01-01

Full Text Available In several advanced fields like control engineering, computer science, fuzzy automata, finite state machine, and error correcting codes, the use of fuzzified algebraic structures especially ordered semigroups plays a central role. In this paper, we introduced a new and advanced generalization of fuzzy generalized bi-ideals of ordered semigroups. These new concepts are supported by suitable examples. These new notions are the generalizations of ordinary fuzzy generalized bi-ideals of ordered semigroups. Several fundamental theorems of ordered semigroups are investigated by the properties of these newly defined fuzzy generalized bi-ideals. Further, using level sets, ordinary fuzzy generalized bi-ideals are linked with these newly defined ideals which is the most significant part of this paper.

Language learning strategy research and modern foreign language teaching and learning in England

OpenAIRE

Grenfell, Michael

2005-01-01

This paper addresses language learner strategy research. It arises from two sources: firstly, an individual background in research and writing about Language Learning Strategy research in the context of Modern Foreign Language Learning and Teaching in the UK over the past decades; secondly, a newly constituted British based interest group dedicated to this area of applied linguistics - UK Project on Language Learner Strategies (UKPOLLS). The aim of this SIG paper is to introduce and present t...

Mirror Worlds: Examining the Affordances of a Next Generation Immersive Learning Environment

Science.gov (United States)

Gautam, Aakash; Williams, Daron; Terry, Krista; Robinson, Kelly; Newbill, Phyllis

2018-01-01

As technologies continue to develop and evolve, it is imperative that instructional technologists, learning scientists, and educators involved with examining learning affordances of emerging technologies investigate the potential of innovative environments to promote and facilitate learning. This paper, as such, will describe a newly developed…

Utility of learning plans in general practice vocational training: a mixed-methods national study of registrar, supervisor, and educator perspectives.

Science.gov (United States)

Garth, Belinda; Kirby, Catherine; Silberberg, Peter; Brown, James

2016-08-19

Learning plans are a compulsory component of the training and assessment requirements of general practice (GP) registrars in Australia. There is a small but growing number of studies reporting that learning plans are not well accepted or utilised in general practice training. There is a lack of research examining this apparent contradiction. The aim of this study was to examine use and perceived utility of formal learning plans in GP vocational training. This mixed-method Australian national research project utilised online learning plan usage data from 208 GP registrars and semi-structured focus groups and telephone interviews with 35 GP registrars, 12 recently fellowed GPs, 16 supervisors and 17 medical educators across three Regional Training Providers (RTPs). Qualitative data were analysed thematically using template analysis. Learning plans were used mostly as a log of activities rather than as a planning tool. Most learning needs were entered and ticked off as complete on the same day. Learning plans were perceived as having little value for registrars in their journey to becoming a competent GP, and as a bureaucratic hurdle serving as a distraction rather than an aid to learning. The process of learning planning was valued more so than the documentation of learning planning. This study provides creditable evidence that mandated learning plans are broadly considered by users to be a bureaucratic impediment with little value as a learning tool. It is more important to support registrars in planning their learning than to enforce documentation of this process in a learning plan. If learning planning is to be an assessed competence, methods of assessment other than the submission of a formal learning plan should be explored.

Competence of newly qualified registered nurses from a nursing college

Directory of Open Access Journals (Sweden)

BG Morolong

2005-09-01

Full Text Available The South African education and training system, through its policy of outcomesbased education and training, has made competency a national priority. In compliance to this national requirement of producing competent learners, the South African Nursing Council ( 1999 B require that the beginner professional nurse practitioners and midwives have the necessary knowledge, skills, attitudes and values which will enable them to render efficient professional service. The health care system also demands competent nurse practitioners to ensure quality in health care. In the light of competency being a national priority and a statutory demand, the research question that emerges is, how competent are the newly qualified registered nurses from a specific nursing college in clinical nursing education? A quantitative, non-experimental contextual design was used to evaluate the competence of newly qualified registered nurses from a specific nursing college. The study was conducted in two phases. The first phase dealt with the development of an instrument together with its manual through the conceptualisation process. The second phase focused on the evaluation of the competency of newly qualified nurses using the instrument based on the steps of the nursing process. A pilot study was conducted to test the feasibility of the items of the instrument. During the evaluation phase, a sample of twenty-six newly qualified nurses was selected by simple random sampling from a target population of thirty-six newly qualified registered nurses. However, six participants withdrew from the study. Data was collected in two general hospitals where the newly qualified registered nurses were working. Observation and questioning were used as data collection techniques in accordance with the developed instrument. Measures were taken to ensure internal validity and reliability of the results. To protect the rights of the participants, the researcher adhered to DENOSA’S (1998

Transferring and generalizing deep-learning-based neural encoding models across subjects.

Science.gov (United States)

Wen, Haiguang; Shi, Junxing; Chen, Wei; Liu, Zhongming

2018-08-01

Recent studies have shown the value of using deep learning models for mapping and characterizing how the brain represents and organizes information for natural vision. However, modeling the relationship between deep learning models and the brain (or encoding models), requires measuring cortical responses to large and diverse sets of natural visual stimuli from single subjects. This requirement limits prior studies to few subjects, making it difficult to generalize findings across subjects or for a population. In this study, we developed new methods to transfer and generalize encoding models across subjects. To train encoding models specific to a target subject, the models trained for other subjects were used as the prior models and were refined efficiently using Bayesian inference with a limited amount of data from the target subject. To train encoding models for a population, the models were progressively trained and updated with incremental data from different subjects. For the proof of principle, we applied these methods to functional magnetic resonance imaging (fMRI) data from three subjects watching tens of hours of naturalistic videos, while a deep residual neural network driven by image recognition was used to model visual cortical processing. Results demonstrate that the methods developed herein provide an efficient and effective strategy to establish both subject-specific and population-wide predictive models of cortical representations of high-dimensional and hierarchical visual features. Copyright © 2018 Elsevier Inc. All rights reserved.

The Evaluation of Students' Written Reflection on the Learning of General Chemistry Lab Experiment

Science.gov (United States)

Han, Ng Sook; Li, Ho Ket; Sin, Lee Choy; Sin, Keng Pei

2014-01-01

Reflective writing is often used to increase understanding and analytical ability. The lack of empirical evidence on the effect of reflective writing interventions on the learning of general chemistry lab experiment supports the examination of this concept. The central goal of this exploratory study was to evaluate the students' written…

Newly blind persons using virtual environment system in a traditional orientation and mobility rehabilitation program: a case study.

Science.gov (United States)

Lahav, Orly; Schloerb, David W; Srinivasan, Mandayam A

2012-09-01

This paper presents a virtual reality system (the BlindAid) developed for orientation and mobility training of people who are newly blind. The BlindAid allows users to interact with different virtual structures and objects via auditory and haptic feedback. This case study aims to examine if and how the BlindAid, in conjunction with a traditional rehabilitation programme, can help people who are newly blind develop new orientation and mobility methods. Follow-up research based on this study, with a large experiment and control group, could contribute to the area of orientation and mobility rehabilitation training for the newly blind. The case study research focused on A., a woman who is newly blind, for 17 virtual sessions spanning ten weeks, during the 12 weeks of her traditional orientation and mobility rehabilitation programme. The research was implemented by using virtual environment (VE) exploration and orientation tasks in VE and physical spaces. The research methodology used both qualitative and quantitative methods, including interviews, questionnaire, videotape recording, and user computer logs. The results of this study helped elucidate several issues concerning the contribution of the BlindAid system to the exploration strategies and learning processes experienced by the participant in her encounters with familiar and unfamiliar physical surroundings. [Box: see text].

HDAC I inhibition in the dorsal and ventral hippocampus differentially modulates predator-odor fear learning and generalization.

Science.gov (United States)

Yuan, Robin K; Hebert, Jenna C; Thomas, Arthur S; Wann, Ellen G; Muzzio, Isabel A

2015-01-01

Although predator odors are ethologically relevant stimuli for rodents, the molecular pathways and contribution of some brain regions involved in predator odor conditioning remain elusive. Inhibition of histone deacetylases (HDACs) in the dorsal hippocampus has been shown to enhance shock-induced contextual fear learning, but it is unknown if HDACs have differential effects along the dorso-ventral hippocampal axis during predator odor fear learning. We injected MS-275, a class I HDAC inhibitor, bilaterally in the dorsal or ventral hippocampus of mice and found that it had no effects on innate anxiety in either region. We then assessed the effects of MS-275 at different stages of fear learning along the longitudinal hippocampal axis. Animals were injected with MS-275 or vehicle after context pre-exposure (pre-conditioning injections), when a representation of the context is first formed, or after exposure to coyote urine (post-conditioning injections), when the context becomes associated with predator odor. When MS-275 was administered after context pre-exposure, dorsally injected animals showed enhanced fear in the training context but were able to discriminate it from a neutral environment. Conversely, ventrally injected animals did not display enhanced learning in the training context but generalized the fear response to a neutral context. However, when MS-275 was administered after conditioning, there were no differences between the MS-275 and vehicle control groups in either the dorsal or ventral hippocampus. Surprisingly, all groups displayed generalization to a neutral context, suggesting that predator odor exposure followed by a mild stressor such as restraint leads to fear generalization. These results may elucidate distinct functions of the dorsal and ventral hippocampus in predator odor-induced fear conditioning as well as some of the molecular mechanisms underlying fear generalization.

Observations Of General Learning Patterns In An Upper-Level Thermal Physics Course

Science.gov (United States)

Meltzer, David E.

2009-11-01

I discuss some observations from using interactive-engagement instructional methods in an upper-level thermal physics course over a two-year period. From the standpoint of the subject matter knowledge of the upper-level students, there was a striking persistence of common learning difficulties previously observed in students enrolled in the introductory course, accompanied, however, by some notable contrasts between the groups. More broadly, I comment on comparisons and contrasts regarding general pedagogical issues among different student sub-populations, for example: differences in the receptivity of lower- and upper-level students to diagrammatic representations; varying receptivity to tutorial-style instructional approach within the upper-level population; and contrasting approaches to learning among physics and engineering sub-populations in the upper-level course with regard to use of symbolic notation, mathematical equations, and readiness to employ verbal explanations.

Newly graduated nurses' occupational commitment and its associations with professional competence and work-related factors.

Science.gov (United States)

Numminen, Olivia; Leino-Kilpi, Helena; Isoaho, Hannu; Meretoja, Riitta

2016-01-01

To explore newly graduated nurses' occupational commitment and its associations with their self-assessed professional competence and other work-related factors. As a factor affecting nurse turnover, newly graduated nurses' occupational commitment and its associations with work-related factors needs exploring to retain adequate workforce. Nurses' commitment has mainly been studied as organisational commitment, but newly graduated nurses' occupational commitment and its association with work-related factors needs further studying. This study used descriptive, cross-sectional, correlation design. A convenience sample of 318 newly graduated nurses in Finland participated responding to an electronic questionnaire. Statistical software, NCSS version 9, was used in data analysis. Frequencies, percentages, ranges, means and standard deviations summarised the data. Multivariate Analyses of Variance estimated associations between occupational commitment and work-related variables. IBM SPSS Amos version 22 estimated the model fit of Occupational Commitment Scale and Nurse Competence Scale. Newly graduated nurses' occupational commitment was good, affective commitment reaching the highest mean score. There was a significant difference between the nurse groups in favour of nurses at higher competence levels in all subscales except in limited alternatives occupational commitment. Multivariate analyses revealed significant associations between subscales of commitment and competence, turnover intentions, job satisfaction, earlier professional education and work sector, competence counting only through affective dimension. The association between occupational commitment and low turnover intentions and satisfaction with nursing occupation was strong. Higher general competence indicated higher overall occupational commitment. Managers' recognition of the influence of all dimensions of occupational commitment in newly graduated nurses' professional development is important. Follow

Immunoparesis in newly diagnosed Multiple Myeloma patients

DEFF Research Database (Denmark)

Sorrig, Rasmus; Klausen, Tobias W.; Salomo, Morten

2017-01-01

Immunoparesis (hypogammaglobulinemia) is associated to an unfavorable prognosis in newly diagnosed Multiple myeloma (MM) patients. However, this finding has not been validated in an unselected population-based cohort. We analyzed 2558 newly diagnosed MM patients in the Danish Multiple Myeloma...

Repeated Strains, Social Control, Social Learning, and Delinquency: Testing an Integrated Model of General Strain Theory in China

Science.gov (United States)

Bao, Wan-Ning; Haas, Ain; Chen, Xiaojin; Pi, Yijun

2014-01-01

In Agnew's general strain theory, repeated strains can generate crime and delinquency by reducing social control and fostering social learning of crime. Using a sample of 615 middle-and high-school students in China, this study examines how social control and social learning variables mediate the effect of repeated strains in school and at home on…

Learning to spell from reading: general knowledge about spelling patterns influences memory for specific words.

Science.gov (United States)

Pacton, Sébastien; Borchardt, Gaëlle; Treiman, Rebecca; Lété, Bernard; Fayol, Michel

2014-05-01

Adults often learn to spell words during the course of reading for meaning, without intending to do so. We used an incidental learning task in order to study this process. Spellings that contained double n, r and t which are common doublets in French, were learned more readily by French university students than spellings that contained less common but still legal doublets. When recalling or recognizing the latter, the students sometimes made transposition errors, doubling a consonant that often doubles in French rather than the consonant that was originally doubled (e.g., tiddunar recalled as tidunnar). The results, found in three experiments using different nonwords and different types of instructions, show that people use general knowledge about the graphotactic patterns of their writing system together with word-specific knowledge to reconstruct spellings that they learn from reading. These processes contribute to failures and successes in memory for spellings, as in other domains.

Role of different colours of aposematic insects in learning, memory and generalization of naive bird predators

Czech Academy of Sciences Publication Activity Database

Svádová, K.; Exnerová, A.; Štys, P.; Landová, E.; Valenta, J.; Fučíková, A.; Socha, Radomír

2009-01-01

Roč. 77, č. 2 (2009), s. 327-336 ISSN 0003-3472 Institutional research plan: CEZ:AV0Z50070508 Keywords : asymmetric generalization * avoidance learning * firebug Subject RIV: ED - Physiology Impact factor: 2.890, year: 2009

Discrete-Time Stable Generalized Self-Learning Optimal Control With Approximation Errors.

Science.gov (United States)

Wei, Qinglai; Li, Benkai; Song, Ruizhuo

2018-04-01

In this paper, a generalized policy iteration (GPI) algorithm with approximation errors is developed for solving infinite horizon optimal control problems for nonlinear systems. The developed stable GPI algorithm provides a general structure of discrete-time iterative adaptive dynamic programming algorithms, by which most of the discrete-time reinforcement learning algorithms can be described using the GPI structure. It is for the first time that approximation errors are explicitly considered in the GPI algorithm. The properties of the stable GPI algorithm with approximation errors are analyzed. The admissibility of the approximate iterative control law can be guaranteed if the approximation errors satisfy the admissibility criteria. The convergence of the developed algorithm is established, which shows that the iterative value function is convergent to a finite neighborhood of the optimal performance index function, if the approximate errors satisfy the convergence criterion. Finally, numerical examples and comparisons are presented.

Improved probabilistic inference as a general learning mechanism with action video games.

Science.gov (United States)

Green, C Shawn; Pouget, Alexandre; Bavelier, Daphne

2010-09-14

Action video game play benefits performance in an array of sensory, perceptual, and attentional tasks that go well beyond the specifics of game play [1-9]. That a training regimen may induce improvements in so many different skills is notable because the majority of studies on training-induced learning report improvements on the trained task but limited transfer to other, even closely related, tasks ([10], but see also [11-13]). Here we ask whether improved probabilistic inference may explain such broad transfer. By using a visual perceptual decision making task [14, 15], the present study shows for the first time that action video game experience does indeed improve probabilistic inference. A neural model of this task [16] establishes how changing a single parameter, namely the strength of the connections between the neural layer providing the momentary evidence and the layer integrating the evidence over time, captures improvements in action-gamers behavior. These results were established in a visual, but also in a novel auditory, task, indicating generalization across modalities. Thus, improved probabilistic inference provides a general mechanism for why action video game playing enhances performance in a wide variety of tasks. In addition, this mechanism may serve as a signature of training regimens that are likely to produce transfer of learning. Copyright © 2010 Elsevier Ltd. All rights reserved.

24 CFR 982.625 - Homeownership option: General.

Science.gov (United States)

2010-04-01

... 24 Housing and Urban Development 4 2010-04-01 2010-04-01 false Homeownership option: General. 982... Types Homeownership Option § 982.625 Homeownership option: General. (a) The homeownership option is used... family assisted under the homeownership option may be a newly admitted or existing participant in the...

Differentiating Instruction for Students with Learning Disabilities: Best Teaching Practices for General and Special Educators.

Science.gov (United States)

Bender, William N.

This book provides classroom-proven strategies designed to empower the teacher to target instructional modifications to the content, process, and products for students with learning disabilities in the general and special education classrooms. Chapter 1 presents the concept of differentiated instruction and how that concept translates into…

Generational differences among newly licensed registered nurses.

Science.gov (United States)

Keepnews, David M; Brewer, Carol S; Kovner, Christine T; Shin, Juh Hyun

2010-01-01

Responses of 2369 newly licensed registered nurses from 3 generational cohorts-Baby Boomers, Generation X, and Generation Y-were studied to identify differences in their characteristics, work-related experiences, and attitudes. These responses revealed significant differences among generations in: job satisfaction, organizational commitment, work motivation, work-to-family conflict, family-to-work conflict, distributive justice, promotional opportunities, supervisory support, mentor support, procedural justice, and perceptions of local job opportunities. Health organizations and their leaders need to anticipate intergenerational differences among newly licensed nurses and should provide for supportive working environments that recognize those differences. Orientation and residency programs for newly licensed nurses should be tailored to the varying needs of different generations. Future research should focus on evaluating the effectiveness of orientation and residency programs with regard to different generations so that these programs can be tailored to meet the varying needs of newly licensed nurses at the start of their careers. Copyright 2010 Mosby, Inc. All rights reserved.

Safety learning among young newly employed in three trades – the role of the profession?

DEFF Research Database (Denmark)

Grytnes, Regine; Dyreborg, Johnny; Jørgensen, Astrid

2017-01-01

Background Young workers aged 18-24 years have an increased risk of injuries at work compared to older workers. This is a problem not only for young workers themselves but also for the society and it lends relevance to the question of how young people learn safe working practices. Safety learning...... to be 'something everyone can do'. Learning safe working practices are shown to be part of canonical and non- canonical professional norms and safety learning is thus an integral part of local and professional induction practices....... is not achieved through information and campaigns alone; it also involves practical training and mentorship at the specific work place. In this paper an analysis of how induction practices relates to safety learning in three different trades is pursued focusing especially on the role of the professions...

Teach Astronomy: An Online Resource for General Education and Informal Learning

Science.gov (United States)

Hardegree-Ullman, Kevin; Impey, C.; Patikkal, A.; Srinathan, A.; Collaboration of Astronomy Teaching Scholars CATS

2012-01-01

Teach Astronomy is a website developed for students and informal learners who would like to learn more general astronomy knowledge. This learning tool aggregates content from a myriad of sources, including: an introductory astronomy text book by C. D. Impey and W. K. Hartmann, astronomy related articles on Wikipedia, images from the Astronomy Picture of the Day, two to three minute video clips by C. D. Impey, podcasts from 365 Days of Astronomy, and news from Science Daily. In addition, Teach Astronomy utilizes a novel technology to cluster and display search results called a Wikimap. We present an overview of the website's features and suggestions for making the best use of Teach Astronomy in the classroom or at home. This material is based in part upon work supported by the National Science Foundation under Grant No. 0715517, a CCLI Phase III Grant for the Collaboration of Astronomy Teaching Scholars (CATS). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

The learning curve of laparoscopic holecystectomy in general surgery resident training: old age of the patient may be a risk factor?

Science.gov (United States)

Ferrarese, Alessia; Gentile, Valentina; Bindi, Marco; Rivelli, Matteo; Cumbo, Jacopo; Solej, Mario; Enrico, Stefano; Martino, Valter

2016-01-01

A well-designed learning curve is essential for the acquisition of laparoscopic skills: but, are there risk factors that can derail the surgical method? From a review of the current literature on the learning curve in laparoscopic surgery, we identified learning curve components in video laparoscopic cholecystectomy; we suggest a learning curve model that can be applied to assess the progress of general surgical residents as they learn and master the stages of video laparoscopic cholecystectomy regardless of type of patient. Electronic databases were interrogated to better define the terms "surgeon", "specialized surgeon", and "specialist surgeon"; we surveyed the literature on surgical residency programs outside Italy to identify learning curve components, influential factors, the importance of tutoring, and the role of reference centers in residency education in surgery. From the definition of acceptable error, self-efficacy, and error classification, we devised a learning curve model that may be applied to training surgical residents in video laparoscopic cholecystectomy. Based on the criteria culled from the literature, the three surgeon categories (general, specialized, and specialist) are distinguished by years of experience, case volume, and error rate; the patients were distinguished for years and characteristics. The training model was constructed as a series of key learning steps in video laparoscopic cholecystectomy. Potential errors were identified and the difficulty of each step was graded using operation-specific characteristics. On completion of each procedure, error checklist scores on procedure-specific performance are tallied to track the learning curve and obtain performance indices of measurement that chart the trainee's progress. The concept of the learning curve in general surgery is disputed. The use of learning steps may enable the resident surgical trainee to acquire video laparoscopic cholecystectomy skills proportional to the instructor

Using computer-assisted learning to engage diverse learning styles in understanding business management principles.

Science.gov (United States)

Frost, Mary E; Derby, Dustin C; Haan, Andrea G

2013-01-01

Objective : Changes in small business and insurance present challenges for newly graduated chiropractors. Technology that reaches identified, diverse learning styles may assist the chiropractic student in business classes to meet course outcomes better. Thus, the purpose of our study is to determine if the use of technology-based instructional aids enhance students' mastery of course learning outcomes. Methods : Using convenience sampling, 86 students completed a survey assessing course learning outcomes, learning style, and the helpfulness of lecture and computer-assisted learning related to content mastery. Quantitative analyses occurred. Results : Although respondents reported not finding the computer-assisted learning as helpful as the lecture, significant relationships were found between pre- and post-assisted learning measures of the learning outcomes 1 and 2 for the visual and kinesthetic groups. Surprisingly, however, all learning style groups exhibited significant pre- and post-assisted learning appraisal relationships with learning outcomes 3 and 4. Conclusion : While evidence exists within the current study of a relationship between students' learning of the course content corollary to the use of technologic instructional aids, the exact nature of the relationship remains unclear.

Using newly deceased patients in teaching clinical skills: its ethical and educational challenges.

Science.gov (United States)

Saber, Mahboobeh; Enjoo, Seyed Ali; Mahboudi, Ali; Tabei, Seyed Ziaadin

2018-04-01

The newly deceased patients have long been used in medical schools to teach clinical skills without any challenges as it helps to train skilled doctors. Nowadays, the use of moulages and simulators are common in teaching clinical skills since these tools provide the opportunity for frequent practice without any pain and injury. There are specific procedures which still require the use of cadavers. However, the increased significance of patient rights has generally challenged the practicality of using the deceased bodies for this purpose. This study was designed with the aim of determining to what extent clinical skill training is dependent on the recently deceased patients. This was a cross-sectional mixed-method triangulation design conducted in two phases. In the first phase, a researcher-made questionnaire was used to collect quantitative data of the medical students and residents. The data were used to assess the frequency of experience. In the second stage, semi-structured interviews were conducted with faculty members and fellows in order to evaluate the educational impact of this type of procedure and the influential factors. The quantitative data were analyzed using statistical software, and the qualitative codes were extracted following a content analysis. Finally, a comparative analysis was performed. Twenty five residents (26%) and seven medical students (14%) had the experience of performing procedures on the recently deceased patients for training purposes. About half of the residents and 33% of the medical students had observed their colleagues practicing procedures on cadavers. In the qualitative phase, the main categories included professional ethics, law and educational requirements. A relatively low number of medical students and residents had experienced procedures on the newly deceased patients. In this regard, ethical, religious and legal concerns might have played a part despite the desire to learn. It would be effective to direct these

Exploring Organizational and Cultural Barriers to Developing Distance Learning

Science.gov (United States)

Nadelman, Cindi A.

2014-01-01

Distance learning programs are being developed at many institutions of higher learning as a means of maintaining a competitive advantage. The problem is that college administrators have no reliable methods for predicting the likelihood of success or failure of these newly launched programs. There is a lack of information regarding attitudes and…

General Education Oral Communication Assessment and Student Preferences for Learning: E-Textbook versus Paper Textbook

Science.gov (United States)

Dwyer, Karen Kangas; Davidson, Marlina M.

2013-01-01

As part of a yearly university mandated assessment of a large basic communication course that fulfills the oral communication general education requirement, this study examined student preferences for textbooks, reading, and learning. Specifically, basic course students ("N"=321) at a large state university in the Midwest were asked to…

The Impact of Supported and Annotated Mobile Learning on Achievement and Cognitive Load

Science.gov (United States)

Shadiev, Rustam; Hwang, Wu-Yuin; Huang, Yueh-Min; Liu, Tzu-Yu

2015-01-01

We designed activities for learning English as a foreign language in a mobile learning environment with familiar authentic support for this study. Students learned at school and then applied their newly gained knowledge to solve daily life problems by first using a tablet to take pictures of objects they wished to learn about, then describing them…

Hope in newly diagnosed cancer patients.

Science.gov (United States)

Duggleby, Wendy; Ghosh, Sunita; Cooper, Dan; Dwernychuk, Lynne

2013-11-01

Hope is important to cancer patients as it helps them deal with their diagnosis. Little is known about hope in newly diagnosed cancer patients. Based on the Transcending Possibilities conceptual model of hope, the purpose of this study was to examine the relationship of hope with pain, energy, and psychological and demographic characteristics in newly diagnosed adult oncology outpatients. Data from 310 New Patient Assessment Forms from cancer outpatients' health records were collected. Health records from the first six months of 2009 were reviewed and data were collected on hope, energy, pain, depression, anxiety, feeling overwhelmed, and demographic variables. A generalized linear modeling approach was used to study the relationship of hope scores with these variables. Hypothesized variables and variables that were significant at the P = 0.01 level from the univariate analysis were entered into the multivariate model, with hope scores as the dependent variable. Hope scores were significantly negatively related to age (P = 0.02). More specifically, oncology patients who were 65 years of age or older had significantly less hope than those under the age of 65 years (P = 0.01). Gender (P = 0.009) also was a significant factor, with men having higher hope scores than women. No other variables were significant. Older adults comprise the majority of persons in Canada with cancer. The lower hope scores found in this age group compared with their younger counterparts underscore the importance of further research. This study provides a foundation for future research in this important area for oncology patients. Copyright © 2013 U.S. Cancer Pain Relief Committee. Published by Elsevier Inc. All rights reserved.

Latent Patient Cluster Discovery for Robust Future Forecasting and New-Patient Generalization.

Directory of Open Access Journals (Sweden)

Ting Qian

Full Text Available Commonly referred to as predictive modeling, the use of machine learning and statistical methods to improve healthcare outcomes has recently gained traction in biomedical informatics research. Given the vast opportunities enabled by large Electronic Health Records (EHR data and powerful resources for conducting predictive modeling, we argue that it is yet crucial to first carefully examine the prediction task and then choose predictive methods accordingly. Specifically, we argue that there are at least three distinct prediction tasks that are often conflated in biomedical research: 1 data imputation, where a model fills in the missing values in a dataset, 2 future forecasting, where a model projects the development of a medical condition for a known patient based on existing observations, and 3 new-patient generalization, where a model transfers the knowledge learned from previously observed patients to newly encountered ones. Importantly, the latter two tasks-future forecasting and new-patient generalizations-tend to be more difficult than data imputation as they require predictions to be made on potentially out-of-sample data (i.e., data following a different predictable pattern from what has been learned by the model. Using hearing loss progression as an example, we investigate three regression models and show that the modeling of latent clusters is a robust method for addressing the more challenging prediction scenarios. Overall, our findings suggest that there exist significant differences between various kinds of prediction tasks and that it is important to evaluate the merits of a predictive model relative to the specific purpose of a prediction task.

Latent Patient Cluster Discovery for Robust Future Forecasting and New-Patient Generalization.

Science.gov (United States)

Qian, Ting; Masino, Aaron J

2016-01-01

Commonly referred to as predictive modeling, the use of machine learning and statistical methods to improve healthcare outcomes has recently gained traction in biomedical informatics research. Given the vast opportunities enabled by large Electronic Health Records (EHR) data and powerful resources for conducting predictive modeling, we argue that it is yet crucial to first carefully examine the prediction task and then choose predictive methods accordingly. Specifically, we argue that there are at least three distinct prediction tasks that are often conflated in biomedical research: 1) data imputation, where a model fills in the missing values in a dataset, 2) future forecasting, where a model projects the development of a medical condition for a known patient based on existing observations, and 3) new-patient generalization, where a model transfers the knowledge learned from previously observed patients to newly encountered ones. Importantly, the latter two tasks-future forecasting and new-patient generalizations-tend to be more difficult than data imputation as they require predictions to be made on potentially out-of-sample data (i.e., data following a different predictable pattern from what has been learned by the model). Using hearing loss progression as an example, we investigate three regression models and show that the modeling of latent clusters is a robust method for addressing the more challenging prediction scenarios. Overall, our findings suggest that there exist significant differences between various kinds of prediction tasks and that it is important to evaluate the merits of a predictive model relative to the specific purpose of a prediction task.

Health-related and social factors predicting non-reemployment amongst newly unemployed

Directory of Open Access Journals (Sweden)

Skärlund Mikael

2012-10-01

Full Text Available Abstract Background Many researchers have examined the effect that mental health has on reemployment opportunities amongst the unemployed, but the results are inconclusive. Our aim in this study is to investigate the effects that different aspects of mental and physical health, as well as socio-demographic, social, and economic factors, have on reemployment. Methods A questionnaire was administered to 1,000 and answered by 502 newly registered unemployed Swedes, who were followed for one year using data from the Swedish National Labour Market Board. The differences between those reemployed and those not reemployed was analysed using stepwise logistic regression. Results General mental ill health amongst unemployed individuals measured by the General Health Questionnaire scale was associated with lower levels of reemployment after one year. This effect could not be explained by any of the scales measuring specific aspects of mental disease such as health-related level of function, rate of depression, burnout, or alcohol misuse. Instead being above 45, low control over one’s financial situation, being an immigrant, and visiting a physician during the last three months were better predictors of failure to be reemployed. Conclusion There are theoretical reasons to assume that psychological distress leads to a decreased reemployment rate amongst the unemployed. The results of this study partly endorse this hypothesis empirically, showing that general subjective mental distress decreases the rate of reemployment amongst newly unemployed individuals, although this effect was mediated by social and economic factors. Indicators of psychiatric disease had no significant effect on reemployment. The results of this study lead us to suggest the early introduction of financial counselling, psychological support, and other interventions for groups with lower reemployment rates.

Health-related and social factors predicting non-reemployment amongst newly unemployed.

Science.gov (United States)

Skärlund, Mikael; Åhs, Annika; Westerling, Ragnar

2012-10-23

Many researchers have examined the effect that mental health has on reemployment opportunities amongst the unemployed, but the results are inconclusive. Our aim in this study is to investigate the effects that different aspects of mental and physical health, as well as socio-demographic, social, and economic factors, have on reemployment. A questionnaire was administered to 1,000 and answered by 502 newly registered unemployed Swedes, who were followed for one year using data from the Swedish National Labour Market Board. The differences between those reemployed and those not reemployed was analysed using stepwise logistic regression. General mental ill health amongst unemployed individuals measured by the General Health Questionnaire scale was associated with lower levels of reemployment after one year. This effect could not be explained by any of the scales measuring specific aspects of mental disease such as health-related level of function, rate of depression, burnout, or alcohol misuse. Instead being above 45, low control over one's financial situation, being an immigrant, and visiting a physician during the last three months were better predictors of failure to be reemployed. There are theoretical reasons to assume that psychological distress leads to a decreased reemployment rate amongst the unemployed. The results of this study partly endorse this hypothesis empirically, showing that general subjective mental distress decreases the rate of reemployment amongst newly unemployed individuals, although this effect was mediated by social and economic factors. Indicators of psychiatric disease had no significant effect on reemployment. The results of this study lead us to suggest the early introduction of financial counselling, psychological support, and other interventions for groups with lower reemployment rates.

PAC-Learning from General Examples

DEFF Research Database (Denmark)

Fischer, Paul; Hoeffgen, K.- U.; Lefmann, H.

1997-01-01

dimension of a target class with respect to a sample class, which replaces the Vapnik-Chervonenkis dimension (V.N. Vapnik and A.Y. Chervonenkis, 1971). The investigation of structural aspects of the relative dimension is followed by its applications to learning environments. It turns out that computing...

Excellent areas. Learning from energy efficient newly built houses. Halfway the knowledge and learning phase; Excellente gebieden. Leerschool voor energiezuinige nieuwbouw. Halverwege het kennis- en leertraject

Energy Technology Data Exchange (ETDEWEB)

NONE

2013-07-15

The so-called Excellent Areas concern 19 innovative newly built houses projects in the residential and utility sector. Houses and office buildings are constructed with at least an energy performance coefficient (EPC), 25% stricter than as described in the Dutch Building Code. This project is aimed at preparing for the Spring Agreement in which it is agreed to tighten the EPC in 2015 and to reach the nearly zero-energy ambition for 2020. Municipalities, project developers and other parties in the energy-efficient building business thus gain experience with innovative construction methods and techniques. And in particular in the search for innovation in the construction process and new forms of cooperation and financing. The knowledge and experiences are supported, shared and disseminated in the knowledge and learning process of Excellent Areas [Dutch] De Excellente Gebieden zijn 19 innovatieve nieuwbouwprojecten in de woning- en utiliteitsbouw. Hier worden woningen en kantoren gebouwd met tenminste een 25% scherpere energieprestatiecoefficient (EPC) dan het Bouwbesluit voorschrijft. Dit ter voorbereiding op de in het Lente-akkoord afgesproken aanscherping van de EPC in 2015 en de bijna energieneutrale ambitie voor 2020. Gemeenten, projectontwikkelaars en andere partijen die energiezuinig bouwen, doen uitgebreide praktijkervaring op met innovatieve bouwmethoden en technieken. En vooral ook met het zoeken naar innovatie in het bouwproces en nieuwe vormen van samenwerking en financiering. Deze kennis en ervaring wordt ondersteund, gedeeld en verspreid in het kennis- en leertraject Excellente Gebieden.

Valuing teamwork: Insights from newly-registered nurses working in specialist mental health services.

Science.gov (United States)

Cleary, Michelle; Horsfall, Jan; Mannix, Judy; O'Hara-Aarons, Maureen; Jackson, Debra

2011-12-01

In this qualitative study, the experiences of a small cohort of registered nurses (RN) during the first 2 years of mental health employment were documented. A total of 13 semistructured interviews were completed from within a specialist mental health setting. Eleven issues were identified: (i) teamwork; (ii) experiential learning; (iii) self-development; (iv) confidence; (v) listening; (vi) rapport; (vii) keen observation; (viii) patience; (ix) empathy; (x) learning from colleagues; and (xi) maintaining a positive approach towards patients. The nurses focused on the here-and-now circumstances, rather than on future plans, or past preparation, and were able to elucidate the qualities and skills that they brought to their clinical work. Participants were most proud of achievements that bridged the personal and professional, such as self-development, working closely with patients to develop rapport, experiential learning, and teamwork. Findings highlight the importance of teamwork to newly-graduated RN entering the mental health environment. It is known that teamwork can convey a sense of belonging and help create an environment in which applied experiential clinical learning can occur. Therefore, it is important that efforts are made to facilitate team building and opportunities for teamwork when new graduates are transitioning into the mental health clinical practice environment. © 2011 The Authors; International Journal of Mental Health Nursing © 2011 Australian College of Mental Health Nurses Inc.

Topics in general topology

CERN Document Server

Morita, K

1989-01-01

Being an advanced account of certain aspects of general topology, the primary purpose of this volume is to provide the reader with an overview of recent developments.The papers cover basic fields such as metrization and extension of maps, as well as newly-developed fields like categorical topology and topological dynamics. Each chapter may be read independently of the others, with a few exceptions. It is assumed that the reader has some knowledge of set theory, algebra, analysis and basic general topology.

From iTE to NQT: Evaluating Newly Qualified Teachers' Use of Mobile Technology in Their First Two Years of Teaching

Science.gov (United States)

Mac Mahon, Brendan; Ó'Grádaigh, Seán; Ghuidhir, Sinéad Ni

2018-01-01

This article outlines a study to examine if newly qualified teachers (NQTs) who had incorporated iPad within pedagogical practice during initial teacher education, continued to do so in their first two years of teaching, and also to identify the challenges to integration that emerged. Findings show that use of iPad in teaching, learning and…

A model for mentoring newly-appointed nurse educators in nursing education institutions in South Africa.

Science.gov (United States)

Seekoe, Eunice

2014-04-24

South Africa transformed higher education through the enactment of the Higher Education Act (No. 101 of 1997). The researcher identified the need to develop a model for the mentoring of newly-appointed nurse educators in nursing education institutions in South Africa.  To develop and describe the model for mentoring newly-appointed nurse educators in nursing education institutions in South Africa.  A qualitative and theory-generating design was used (following empirical findings regarding needs analysis) in order to develop the model. The conceptualisation of the framework focused on the context, content, process and the theoretical domains that influenced the model. Ideas from different theories were borrowed from and integrated with the literature and deductive and inductive strategies were applied.  The structure of the model is multidimensional and complex in nature (macro, mesoand micro) based on the philosophy of reflective practice, competency-based practice andcritical learning theories. The assumptions are in relation to stakeholders, context, mentoring, outcome, process and dynamic. The stakeholders are the mentor and mentee within an interactive participatory relationship. The mentoring takes place within the process with a sequence of activities such as relationship building, development, engagement, reflective process and assessment. Capacity building and empowerment are outcomes of mentoring driven by motivation.  The implication for nurse managers is that the model can be used to develop mentoring programmes for newly-appointed nurse educators.

Establishment probability in newly founded populations

Directory of Open Access Journals (Sweden)

Gusset Markus

2012-06-01

Full Text Available Abstract Background Establishment success in newly founded populations relies on reaching the established phase, which is defined by characteristic fluctuations of the population’s state variables. Stochastic population models can be used to quantify the establishment probability of newly founded populations; however, so far no simple but robust method for doing so existed. To determine a critical initial number of individuals that need to be released to reach the established phase, we used a novel application of the “Wissel plot”, where –ln(1 – P0(t is plotted against time t. This plot is based on the equation P0t=1–c1e–ω1t, which relates the probability of extinction by time t, P0(t, to two constants: c1 describes the probability of a newly founded population to reach the established phase, whereas ω1 describes the population’s probability of extinction per short time interval once established. Results For illustration, we applied the method to a previously developed stochastic population model of the endangered African wild dog (Lycaon pictus. A newly founded population reaches the established phase if the intercept of the (extrapolated linear parts of the “Wissel plot” with the y-axis, which is –ln(c1, is negative. For wild dogs in our model, this is the case if a critical initial number of four packs, consisting of eight individuals each, are released. Conclusions The method we present to quantify the establishment probability of newly founded populations is generic and inferences thus are transferable to other systems across the field of conservation biology. In contrast to other methods, our approach disaggregates the components of a population’s viability by distinguishing establishment from persistence.

The many facets of motor learning and their relevance for Parkinson's disease.

Science.gov (United States)

Marinelli, Lucio; Quartarone, Angelo; Hallett, Mark; Frazzitta, Giuseppe; Ghilardi, Maria Felice

2017-07-01

The final goal of motor learning, a complex process that includes both implicit and explicit (or declarative) components, is the optimization and automatization of motor skills. Motor learning involves different neural networks and neurotransmitters systems depending on the type of task and on the stage of learning. After the first phase of acquisition, a motor skill goes through consolidation (i.e., becoming resistant to interference) and retention, processes in which sleep and long-term potentiation seem to play important roles. The studies of motor learning in Parkinson's disease have yielded controversial results that likely stem from the use of different experimental paradigms. When a task's characteristics, instructions, context, learning phase and type of measures are taken into consideration, it is apparent that, in general, only learning that relies on attentional resources and cognitive strategies is affected by PD, in agreement with the finding of a fronto-striatal deficit in this disease. Levodopa administration does not seem to reverse the learning deficits in PD, while deep brain stimulation of either globus pallidus or subthalamic nucleus appears to be beneficial. Finally and most importantly, patients with PD often show a decrease in retention of newly learned skill, a problem that is present even in the early stages of the disease. A thorough dissection and understanding of the processes involved in motor learning is warranted to provide solid bases for effective medical, surgical and rehabilitative approaches in PD. Copyright © 2017 International Federation of Clinical Neurophysiology. All rights reserved.

PHL10/460: Cancerfacts.com - Vertical Portal with Newly Developed Health Profiler

OpenAIRE

Lenz, C; Brucksch, M

1999-01-01

Introduction Unlike general health portals such as WebMD and Drkoop.com that cover everything from the flu to heart disease, Silicon Valley-based cancerfacts.com is a so-called vertical portal. It covers only one small vertical niche of health care: cancer, and in particular, prostate cancer. As a value-added proprietary technology, the company offers its newly developed profile engine to health information retrievers. Methods Users are enabled to insert their specific medical information - r...

Beyond IQ: A Latent State-Trait Analysis of General Intelligence, Dynamic Decision Making, and Implicit Learning

Science.gov (United States)

Danner, Daniel; Hagemann, Dirk; Schankin, Andrea; Hager, Marieke; Funke, Joachim

2011-01-01

The present study investigated cognitive performance measures beyond IQ. In particular, we investigated the psychometric properties of dynamic decision making variables and implicit learning variables and their relation with general intelligence and professional success. N = 173 employees from different companies and occupational groups completed…

Top Information Need Priorities of Older Adults Newly Diagnosed With Active Myeloma.

Science.gov (United States)

Tariman, Joseph D; Doorenbos, Ardith; Schepp, Karen G; Singhal, Seema; Berry, Donna L

2015-01-01

Prioritizing patients' information needs maximizes efficiency. This study examined the information sources and priorities in a sample of older adults newly diagnosed with symptomatic myeloma requiring immediate therapy. An association analysis of whether information needs were influenced by sociodemographic variables such as age, gender, education, marital status, and income was also conducted. The Information Needs Questionnaire (INQ) and an investigator-developed interview schedule were administered to 20 older adults diagnosed with symptomatic myeloma during a 30- to 45-minute semistructured interview. We found that older adults newly diagnosed with symptomatic myeloma have different priorities of information needs when compared with younger patients diagnosed with various types of cancer. The top three priorities related to treatment, prognosis, and self-care. Sociodemographic variables did not influence the priorities of information needs among older adults with symptomatic myeloma. The Internet, physicians, family, and friends were among the top sources of information. Advanced practitioners in oncology should support and identify interventions that can enhance patients' learning process from these sources. Well poised to assist patients in searching credible and reliable Internet sources, advanced practitioners in oncology can provide patient education about different treatments and the impact of such treatments on prognosis (e.g., overall survival and likelihood of cure).

Do general practitioners' risk-taking propensities and learning styles influence their continuing medical education preferences?

Science.gov (United States)

Robinson, Geoffrey

2002-01-01

US studies have shown that a clinician's risk-taking propensity significantly predicts clinical behaviour. Other US studies examining relationships between family practice doctors' preferences for CME and their Kolb learning style have described conflicting findings. The aim of the present study was to investigate GPs' learning styles, risk-taking propensities and CME preferences, and to explore links between them. A descriptive confidential cross-sectional postal questionnaire survey of the 304 general practitioner principals within Portsmouth and South East Hampshire Health Authority was conducted. Two hundred and seventy-four GPs returned questionnaires, a response rate of 90.1%. The Kolb learning style types were assimilators 43.8% (predominant learning abilities watching and thinking), divergers 21.1% (feeling and watching), convergers 18.3% (doing and thinking), and accommodators 16.8% (doing and feeling). The Pearson risk-taking propensities were 65.8% risk neutral, 19.4% risk seeking and 14.8% risk averse. Risk-seeking GPs were significantly more likely to be accommodators or convergers than divergers or assimilators (p = 0.006). Majorities of 54.9% stated that the present PGEA system works well, 85% welcomed feedback from their peers, and 76.8% stated that learning should be an activity for all the practice team. Further majorities would welcome help to decide their learning needs (63.8%) and are looking to judge CME effectiveness by changes in GP performance or patient care (54.8%). Further significant correlations and cross-tabulations were found between learning style and risk-taking and CME attitudes, experiences and preferences. It is concluded that risk seekers and accommodators (doing and feeling) prefer feedback, interaction and practical hands-on learning, and assimilators (watching and thinking) and the risk averse tend towards lectures, theoretical learning formats and less interactive activities. Sharing feelings in groups may be difficult for

Serum lipid profile of newly diagnosed hypertensive patients in nnewi, South-East Nigeria.

Science.gov (United States)

Osuji, Charles U; Omejua, Emeka G; Onwubuya, Emmanuel I; Ahaneku, Gladys I

2012-01-01

Abnormalities in serum lipid and lipoprotein levels are recognized major modifiable cardiovascular disease and essential hypertension risk factors. The objective of this study was to examine the serum lipid patterns of newly diagnosed hypertensive patients attending a tertiary healthcare centre in South East Nigeria. Methods. Two hundred and fifty newly diagnosed adult hypertensive patients and an equal number of age- and sex-matched controls without hypertension were consecutively recruited from the Medical and General Outpatient Clinics of Nnamdi Azikiwe University Teaching Hospital, Nnewi. Result. 126 males and 124 females were in each of the two groups. Mean age was comparable in both groups. Hypertensives had significantly higher mean systolic blood pressure, diastolic blood pressure, body mass index, waist circumference, waist-hip ratio, and fasting blood sugar than the controls. The mean TC, TG, and LDL-C were significantly higher among the hypertensives. The mean HDL-C was comparable; P = 0.8. Among the hypertensive subjects, there was statistically significant positive correlation between BMI and TC; LDL-C and TG; WC and TG; FBS and TC; LDL-C and TG. HDL-C showed a statistically significant inverse correlation with WHR in hypertensives. Conclusion. This study showed that lipid abnormalities are highly prevalent among newly diagnosed hypertensives in South-East Nigeria.

Academic Self-Handicapping: Relationships with Learning Specific and General Self-Perceptions and Academic Performance over Time

Science.gov (United States)

Gadbois, Shannon A.; Sturgeon, Ryan D.

2011-01-01

Background: Academic self-handicapping (ASH) tendencies, strategies students employ that increase their chances of failure on assessments while protecting self-esteem, are correlated with classroom goal structures and to learners' general self-perceptions and learning strategies. In particular, greater ASH is related to poorer academic performance…

Exploring students' perceptions on the use of significant event analysis, as part of a portfolio assessment process in general practice, as a tool for learning how to use reflection in learning.

Science.gov (United States)

Grant, Andrew J; Vermunt, Jan D; Kinnersley, Paul; Houston, Helen

2007-03-30

Portfolio learning enables students to collect evidence of their learning. Component tasks making up a portfolio can be devised that relate directly to intended learning outcomes. Reflective tasks can stimulate students to recognise their own learning needs. Assessment of portfolios using a rating scale relating to intended learning outcomes offers high content validity. This study evaluated a reflective portfolio used during a final-year attachment in general practice (family medicine). Students were asked to evaluate the portfolio (which used significant event analysis as a basis for reflection) as a learning tool. The validity and reliability of the portfolio as an assessment tool were also measured. 81 final-year medical students completed reflective significant event analyses as part of a portfolio created during a three-week attachment (clerkship) in general practice (family medicine). As well as two reflective significant event analyses each portfolio contained an audit and a health needs assessment. Portfolios were marked three times; by the student's GP teacher, the course organiser and by another teacher in the university department of general practice. Inter-rater reliability between pairs of markers was calculated. A questionnaire enabled the students' experience of portfolio learning to be determined. Benefits to learning from reflective learning were limited. Students said that they thought more about the patients they wrote up in significant event analyses but information as to the nature and effect of this was not forthcoming. Moderate inter-rater reliability (Spearman's Rho .65) was found between pairs of departmental raters dealing with larger numbers (20-60) of portfolios. Inter-rater reliability of marking involving GP tutors who only marked 1-3 portfolios was very low. Students rated highly their mentoring relationship with their GP teacher but found the portfolio tasks time-consuming. The inter-rater reliability observed in this study should

Intelligent Fault Diagnosis of Rotary Machinery Based on Unsupervised Multiscale Representation Learning

Science.gov (United States)

Jiang, Guo-Qian; Xie, Ping; Wang, Xiao; Chen, Meng; He, Qun

2017-11-01

The performance of traditional vibration based fault diagnosis methods greatly depends on those handcrafted features extracted using signal processing algorithms, which require significant amounts of domain knowledge and human labor, and do not generalize well to new diagnosis domains. Recently, unsupervised representation learning provides an alternative promising solution to feature extraction in traditional fault diagnosis due to its superior learning ability from unlabeled data. Given that vibration signals usually contain multiple temporal structures, this paper proposes a multiscale representation learning (MSRL) framework to learn useful features directly from raw vibration signals, with the aim to capture rich and complementary fault pattern information at different scales. In our proposed approach, a coarse-grained procedure is first employed to obtain multiple scale signals from an original vibration signal. Then, sparse filtering, a newly developed unsupervised learning algorithm, is applied to automatically learn useful features from each scale signal, respectively, and then the learned features at each scale to be concatenated one by one to obtain multiscale representations. Finally, the multiscale representations are fed into a supervised classifier to achieve diagnosis results. Our proposed approach is evaluated using two different case studies: motor bearing and wind turbine gearbox fault diagnosis. Experimental results show that the proposed MSRL approach can take full advantages of the availability of unlabeled data to learn discriminative features and achieved better performance with higher accuracy and stability compared to the traditional approaches.

Current Policy Issues in Early Foreign Language Learning

Directory of Open Access Journals (Sweden)

Janet Enever

2012-01-01

Full Text Available The development of policy in relation to language learning at the early primary level of schooling has received only limited attention in the literature on policy studies in general, and within the framework of an emerging education policy space across Europe specifically. This paper offers an introductory discussion of the growth of education policy in Europe, identifying the extent to which the histories of national language policies are being re-shaped by the rise of numerical data and comparison within a newly-formed European education space. A summary review of key measures of particular relevance to early language learning illustrates thescale of “soft” policy mechanisms now available as tools in an on-going process of shaping, adapting and refining policy in response to the continuously shifting language priorities that arise particularly during periods of economic instability. This paper draws on key themes from a transnational, longitudinal study of early language learning in Europe to discuss the extent to which implementation in schools has so far been moulded by a plethora of recommendations, reports and indicators formulated in response to the step change in policy development that has occurred since the publication of the Lisbon Strategy (2000.

Learning Recruits Neurons Representing Previously Established Associations in the Corvid Endbrain.

Science.gov (United States)

Veit, Lena; Pidpruzhnykova, Galyna; Nieder, Andreas

2017-10-01

Crows quickly learn arbitrary associations. As a neuronal correlate of this behavior, single neurons in the corvid endbrain area nidopallium caudolaterale (NCL) change their response properties during association learning. In crows performing a delayed association task that required them to map both familiar and novel sample pictures to the same two choice pictures, NCL neurons established a common, prospective code for associations. Here, we report that neuronal tuning changes during learning were not distributed equally in the recorded population of NCL neurons. Instead, such learning-related changes relied almost exclusively on neurons which were already encoding familiar associations. Only in such neurons did behavioral improvements during learning of novel associations coincide with increasing selectivity over the learning process. The size and direction of selectivity for familiar and newly learned associations were highly correlated. These increases in selectivity for novel associations occurred only late in the delay period. Moreover, NCL neurons discriminated correct from erroneous trial outcome based on feedback signals at the end of the trial, particularly in newly learned associations. Our results indicate that task-relevant changes during association learning are not distributed within the population of corvid NCL neurons but rather are restricted to a specific group of association-selective neurons. Such association neurons in the multimodal cognitive integration area NCL likely play an important role during highly flexible behavior in corvids.

SUSTAIN: a network model of category learning.

Science.gov (United States)

Love, Bradley C; Medin, Douglas L; Gureckis, Todd M

2004-04-01

SUSTAIN (Supervised and Unsupervised STratified Adaptive Incremental Network) is a model of how humans learn categories from examples. SUSTAIN initially assumes a simple category structure. If simple solutions prove inadequate and SUSTAIN is confronted with a surprising event (e.g., it is told that a bat is a mammal instead of a bird), SUSTAIN recruits an additional cluster to represent the surprising event. Newly recruited clusters are available to explain future events and can themselves evolve into prototypes-attractors-rules. SUSTAIN's discovery of category substructure is affected not only by the structure of the world but by the nature of the learning task and the learner's goals. SUSTAIN successfully extends category learning models to studies of inference learning, unsupervised learning, category construction, and contexts in which identification learning is faster than classification learning.

Sex Differences in Learned Helplessness: IV. An Experimental and Naturalistic Study of Failure Generalization and Its Mediators.

Science.gov (United States)

And Others; Dweck, Carol S.

1980-01-01

Two experiments were conducted to examine the role of sex differences in learned helplessness in the generalization of failure experience. Subjects in experiment 1 were fifth graders and subjects in experiment 2 were fourth, fifth, and sixth graders. (MP)

Teachers' Attitudes toward Assessment of Student Learning and Teacher Assessment Practices in General Educational Institutions: The Case of Georgia

Science.gov (United States)

Kitiashvili, Anastasia

2014-01-01

The aim of this article is to study teachers' attitudes toward assessment of students' learning and their assessment practices in Georgia's general educational institutions. Georgia is a country in the South Caucasus with a population of 4.5 million people, with 2300 general educational institutions and about 559,400 students. The research…

Robust Monotonically Convergent Iterative Learning Control for Discrete-Time Systems via Generalized KYP Lemma

Directory of Open Access Journals (Sweden)

Jian Ding

2014-01-01

Full Text Available This paper addresses the problem of P-type iterative learning control for a class of multiple-input multiple-output linear discrete-time systems, whose aim is to develop robust monotonically convergent control law design over a finite frequency range. It is shown that the 2 D iterative learning control processes can be taken as 1 D state space model regardless of relative degree. With the generalized Kalman-Yakubovich-Popov lemma applied, it is feasible to describe the monotonically convergent conditions with the help of linear matrix inequality technique and to develop formulas for the control gain matrices design. An extension to robust control law design against systems with structured and polytopic-type uncertainties is also considered. Two numerical examples are provided to validate the feasibility and effectiveness of the proposed method.

Using Computational Chemistry Activities to Promote Learning and Retention in a Secondary School General Chemistry Setting

Science.gov (United States)

Ochterski, Joseph W.

2014-01-01

This article describes the results of using state-of-the-art, research-quality software as a learning tool in a general chemistry secondary school classroom setting. I present three activities designed to introduce fundamental chemical concepts regarding molecular shape and atomic orbitals to students with little background in chemistry, such as…

The Contributions of Domain-General and Numerical Factors to Third-Grade Arithmetic Skills and Mathematical Learning Disability

Science.gov (United States)

Cowan, Richard; Powell, Daisy

2014-01-01

Explanations of the marked individual differences in elementary school mathematical achievement and mathematical learning disability (MLD or dyscalculia) have involved domain-general factors (working memory, reasoning, processing speed, and oral language) and numerical factors that include single-digit processing efficiency and multidigit skills…

A model for mentoring newly-appointed nurse educators in nursing education institutions in South Africa

Directory of Open Access Journals (Sweden)

Eunice Seekoe

2014-02-01

Full Text Available Background: South Africa transformed higher education through the enactment of the Higher Education Act (No. 101 of 1997. The researcher identified the need to develop a model for the mentoring of newly-appointed nurse educators in nursing education institutions in South Africa. Objectives: To develop and describe the model for mentoring newly-appointed nurse educators in nursing education institutions in South Africa. Method: A qualitative and theory-generating design was used (following empirical findings regarding needs analysis in order to develop the model. The conceptualisation of the framework focused on the context, content, process and the theoretical domains that influenced the model. Ideas from different theories were borrowed from and integrated with the literature and deductive and inductive strategies were applied. Results: The structure of the model is multidimensional and complex in nature (macro, mesoand micro based on the philosophy of reflective practice, competency-based practice andcritical learning theories. The assumptions are in relation to stakeholders, context, mentoring, outcome, process and dynamic. The stakeholders are the mentor and mentee within an interactive participatory relationship. The mentoring takes place within the process with a sequence of activities such as relationship building, development, engagement, reflective process and assessment. Capacity building and empowerment are outcomes of mentoring driven by motivation. Conclusion: The implication for nurse managers is that the model can be used to develop mentoring programmes for newly-appointed nurse educators.

Stress and stressors in the clinical environment: a comparative study of fourth-year student nurses and newly qualified general nurses in Ireland.

LENUS (Irish Health Repository)

Suresh, Patricia

2013-03-01

To measure and compare the perceived levels of job-related stress and stressors of newly qualified nurses and fourth-year student nurses in the clinical environment and to explore the participants\\' views on stress and stressors.

Wave actions and topography determine the small-scale spatial distribution of newly settled Asari clams Ruditapes philippinarum on a tidal flat

Science.gov (United States)

Nambu, Ryogen; Saito, Hajime; Tanaka, Yoshio; Higano, Junya; Kuwahara, Hisami

2012-03-01

There are many studies on spatial distributions of Asari clam Ruditapes philippinarum adults on tidal flats but few have dealt with spatial distributions of newly settled Asari clam (physical/topographical conditions on tidal flats. We examined small-scale spatial distributions of newly settled individuals on the Matsunase tidal flat, central Japan, during the low spring tides on two days 29th-30th June 2007, together with the shear stress from waves and currents on the flat. The characteristics of spatial distribution of newly settled Asari clam markedly varied depending on both of hydrodynamic and topographical conditions on the tidal flat. Using generalized linear models (GLMs), factors responsible for affecting newly settled Asari clam density and its spatial distribution were distinguished between sampling days, with "crest" sites always having a negative influence each on the density and the distribution on both sampling days. The continuously recorded data for the wave-current flows at the "crest" site on the tidal flat showed that newly settled Asari clam, as well as bottom sediment particles, at the "crest" site to be easily displaced. Small-scale spatial distributions of newly settled Asari clam changed with more advanced benthic stages in relation to the wave shear stress.

Depression and cognitive impairment among newly admitted nursing home residents in the USA.

Science.gov (United States)

Ulbricht, Christine M; Rothschild, Anthony J; Hunnicutt, Jacob N; Lapane, Kate L

2017-11-01

The objective of this study is to describe the prevalence of depression and cognitive impairment among newly admitted nursing home residents in the USA and to describe the treatment of depression by level of cognitive impairment. We identified 1,088,619 newly admitted older residents between 2011 and 2013 with an active diagnosis of depression documented on the Minimum Data Set 3.0. The prevalence of receiving psychiatric treatment was estimated by cognitive impairment status and depression symptoms. Binary logistic regression using generalized estimating equations provided adjusted odds ratios and 95% confidence intervals for the association between level of cognitive impairment and receipt of psychiatric treatment, adjusted for clustering of residents within nursing homes and resident characteristics. Twenty-six percent of newly admitted residents had depression; 47% of these residents also had cognitive impairment. Of those who had staff assessments of depression, anhedonia, impaired concentration, psychomotor disturbances, and irritability were more commonly experienced by residents with cognitive impairment than residents without cognitive impairment. Forty-eight percent of all residents with depression did not receive any psychiatric treatment. Approximately one-fifth of residents received a combination of treatment. Residents with severe cognitive impairment were less likely than those with intact cognition to receive psychiatric treatment (adjusted odds ratio = 0.95; 95% confidence interval: 0.93-0.98). Many newly admitted residents with an active diagnosis of depression are untreated, potentially missing an important window to improve symptoms. The extent of comorbid cognitive impairment and depression and lack of treatment suggest opportunities for improved quality of care in this increasingly important healthcare setting. Copyright © 2017 John Wiley & Sons, Ltd. Copyright © 2017 John Wiley & Sons, Ltd.

Doctors' learning experiences in end-of-life care

DEFF Research Database (Denmark)

Fosse, Anette; Ruths, Sabine; Malterud, Kirsti

2017-01-01

death could even be welcomed. Through challenging dialogues dealing with family members’ hope and trust, they learnt how to adjust words and decisions according to family and patient’s life story. Interdisciplinary role models helped them balance uncertainty and competence in the intermediate position......Background: Doctors often find dialogues about death difficult. In Norway, 45% of deaths take place in nursing homes. Newly qualified medical doctors serve as house officers in nursing homes during internship. Little is known about how nursing homes can become useful sites for learning about end-of-life...... care. The aim of this study was to explore newly qualified doctors’ learning experiences with end-of-life care in nursing homes, especially focusing on dialogues about death. Methods: House officers in nursing homes (n = 16) participated in three focus group interviews. Interviews were audiotaped...

Nonabelian generalized gauge multiplets

International Nuclear Information System (INIS)

Lindstroem, Ulf; Zabzine, Maxim; Rocek, Martin; Ryb, Itai; Unge, Rikard von

2009-01-01

We give the nonabelian extension of the newly discovered N = (2, 2) two-dimensional vector multiplets. These can be used to gauge symmetries of sigma models on generalized Kaehler geometries. Starting from the transformation rule for the nonabelian case we find covariant derivatives and gauge covariant field-strengths and write their actions in N = (2, 2) and N = (1, 1) superspace.

Systems control with generalized probabilistic fuzzy-reinforcement learning

NARCIS (Netherlands)

Hinojosa, J.; Nefti, S.; Kaymak, U.

2011-01-01

Reinforcement learning (RL) is a valuable learning method when the systems require a selection of control actions whose consequences emerge over long periods for which input-output data are not available. In most combinations of fuzzy systems and RL, the environment is considered to be

Recent developments in learning control and system identification for robots and structures

Science.gov (United States)

Phan, M.; Juang, J.-N.; Longman, R. W.

1990-01-01

This paper reviews recent results in learning control and learning system identification, with particular emphasis on discrete-time formulation, and their relation to adaptive theory. Related continuous-time results are also discussed. Among the topics presented are proportional, derivative, and integral learning controllers, time-domain formulation of discrete learning algorithms. Newly developed techniques are described including the concept of the repetition domain, and the repetition domain formulation of learning control by linear feedback, model reference learning control, indirect learning control with parameter estimation, as well as related basic concepts, recursive and non-recursive methods for learning identification.

Doctors' learning experiences in end-of-life care - a focus group study from nursing homes.

Science.gov (United States)

Fosse, Anette; Ruths, Sabine; Malterud, Kirsti; Schaufel, Margrethe Aase

2017-01-31

Doctors often find dialogues about death difficult. In Norway, 45% of deaths take place in nursing homes. Newly qualified medical doctors serve as house officers in nursing homes during internship. Little is known about how nursing homes can become useful sites for learning about end-of-life care. The aim of this study was to explore newly qualified doctors' learning experiences with end-of-life care in nursing homes, especially focusing on dialogues about death. House officers in nursing homes (n = 16) participated in three focus group interviews. Interviews were audiotaped and transcribed verbatim. Data were analysed with systematic text condensation. Lave & Wenger's theory about situated learning was used to support interpretations, focusing on how the newly qualified doctors gained knowledge of end-of-life care through participation in the nursing home's community of practice. Newly qualified doctors explained how nursing home staff's attitudes taught them how calmness and acceptance could be more appropriate than heroic action when death was imminent. Shifting focus from disease treatment to symptom relief was demanding, yet participants comprehended situations where death could even be welcomed. Through challenging dialogues dealing with family members' hope and trust, they learnt how to adjust words and decisions according to family and patient's life story. Interdisciplinary role models helped them balance uncertainty and competence in the intermediate position of being in charge while also needing surveillance. There is a considerable potential for training doctors in EOL care in nursing homes, which can be developed and integrated in medical education. This practice based learning arena offers newly qualified doctors close interaction with patients, relatives and nurses, teaching them to perform difficult dialogues, individualize medical decisions and balance their professional role in an interdisciplinary setting.

Stroop effects from newly learned color words : effects of memory consolidation and episodic context

OpenAIRE

Geukes, Sebastian; Gaskell, M Gareth; Zwitserlood, Pienie

2015-01-01

The Stroop task is an excellent tool to test whether reading a word automatically activates its associated meaning, and it has been widely used in mono- and bilingual contexts. Despite of its ubiquity, the task has not yet been employed to test the automaticity of recently established word-concept links in novel-word-learning studies, under strict experimental control of learning and testing conditions. In three experiments, we thus paired novel words with native language (German) color words...

Students' Perceptions and Emotions Toward Learning in a Flipped General Science Classroom

Science.gov (United States)

Jeong, Jin Su; González-Gómez, David; Cañada-Cañada, Florentina

2016-10-01

Recently, the inverted instruction methodologies are gaining attentions in higher educations by claiming that flipping the classroom engages more effectively students with the learning process. Besides, students' perceptions and emotions involved in their learning process must be assessed in order to gauge the usability of this relatively new instruction methodology, since it is vital in the educational formation. For this reason, this study intends to evaluate the students' perceptions and emotions when a flipped classroom setting is used as instruction methodology. This research was conducted in a general science course, sophomore of the Primary Education bachelor degree in the Training Teaching School of the University of Extremadura (Spain). The results show that the students have the overall positive perceptions to a flipped classroom setting. Particularly, over 80 % of them considered that the course was a valuable learning experience. They also found this course more interactive and were willing to have more courses following a flipped model. According to the students' emotions toward a flipped classroom course, the highest scores were given to the positive emotions, being fun and enthusiasm along with keyword frequency test. Then, the lowest scores were corresponded to negative emotions, being boredom and fear. Therefore, the students attending to a flipped course demonstrated to have more positive and less negative emotions. The results obtained in this study allow drawing a promising tendency about the students' perceptions and emotions toward the flipped classroom methodology and will contribute to fully frame this relatively new instruction methodology.

Seminar program for postgraduate specialty training in general practice: proposal for a 5-year thematic catalogue

Directory of Open Access Journals (Sweden)

Sommer, Susanne

2017-11-01

Full Text Available Introduction: In different German regions, seminar programs have been conducted for General practice residents. In each region, selection and teaching of learning content is conducted in a different manner. So far, no structured, standardized curriculum has been implemented nationwide. We have investigated, if the development of a common 5-year program of learning topics is conceivable between the different university departments of General practice in Germany.Method: The seminar program working group of the DEGAM (German College of General Practitioners and Family Physicians has conducted an online survey based on information gathered via preliminary telephone conference (n=7; physicians with postgraduate teaching experience among all German university departments of General Practice and two non-university teaching institutions, identified via the internet. 884 topics were extracted from 14 Seminar programs. The topics were entered in a database, discussed and categorized: Practice management/practice work flow/standardized documentation forms/quality management (n=33 topics, common acute and chronic diseases, including disease management programs (n=29 topics, communication, neurological, psychological and psychiatric consultations (n=24 topics, common medical problems, including eye, ear, nose, throat, skin and pediatric problems (n=99 Topics family physicians general approach, including epidemiology, shared decision making, test of time (n=42 Topics. These topics have been rated for priority and desirable number of teaching-units.Results: A catalogue of 111 topics was designed, encompassing 160 teaching units. There is a suggestion of wide topics collections plus an add-on catalogue.Conclusion: A proposal for a 5-year-thematic catalogue for postgraduate training of general practice residents in Germany has been developed. This newly developed curriculum has the potential to improve knowledge and skills that have not been covered during in

Time perspective and weight management behaviors in newly diagnosed Type 2 diabetes: a mediational analysis.

Science.gov (United States)

Hall, Peter A; Fong, Geoffrey T; Cheng, Alice Y

2012-12-01

The primary objective of the current study was to examine the extent to which domain-specific time perspective predicts weight management behaviors (dietary behavior and physical activity) among those newly diagnosed with Type 2 diabetes. A secondary objective was to test potential mediators of the hypothesized effect (behavioral intention, self-efficacy and control beliefs). A total of 204 adults newly diagnosed (≤6 months) with Type 2 diabetes participated in the study, which included a baseline assessment of domain-general and domain-specific time perspective, as well as strength of intention to perform two weight-management behaviors (dietary choice and physical activity); both weight-management behaviors were assessed again at 6 month follow-up. Hierarchical multiple regression analyses revealed a prospective association between domain-specific time perspective and uptake of weight management behaviors. Individuals with newly diagnosed T2DM possessing a future-oriented time perspective reported making less frequent fatty food choices and greater increases in physical activity over the 6-month follow-up interval. These effects were selectively mediated by intention strength, and not competing social cognitive variables. For both behaviors, the total effects and meditational models were robust to adjustments for demographics, body composition and disease variables. A future-oriented time perspective is prospectively associated with superior uptake of weight management behaviors among those with newly diagnosed Type 2 diabetes. The facilitating effect of future-oriented thinking appears to occur via enhanced strength of intentions to perform weight management behaviors.

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.

Generalization of stochastic visuomotor rotations.

Directory of Open Access Journals (Sweden)

Hugo L Fernandes

Full Text Available Generalization studies examine the influence of perturbations imposed on one movement onto other movements. The strength of generalization is traditionally interpreted as a reflection of the similarity of the underlying neural representations. Uncertainty fundamentally affects both sensory integration and learning and is at the heart of many theories of neural representation. However, little is known about how uncertainty, resulting from variability in the environment, affects generalization curves. Here we extend standard movement generalization experiments to ask how uncertainty affects the generalization of visuomotor rotations. We find that although uncertainty affects how fast subjects learn, the perturbation generalizes independently of uncertainty.

Evaluating the Generalization Value of Process-based Models in a Deep-in-time Machine Learning framework

Science.gov (United States)

Shen, C.; Fang, K.

2017-12-01

Deep Learning (DL) methods have made revolutionary strides in recent years. A core value proposition of DL is that abstract notions and patterns can be extracted purely from data, without the need for domain expertise. Process-based models (PBM), on the other hand, can be regarded as repositories of human knowledge or hypotheses about how systems function. Here, through computational examples, we argue that there is merit in integrating PBMs with DL due to the imbalance and lack of data in many situations, especially in hydrology. We trained a deep-in-time neural network, the Long Short-Term Memory (LSTM), to learn soil moisture dynamics from Soil Moisture Active Passive (SMAP) Level 3 product. We show that when PBM solutions are integrated into LSTM, the network is able to better generalize across regions. LSTM is able to better utilize PBM solutions than simpler statistical methods. Our results suggest PBMs have generalization value which should be carefully assessed and utilized. We also emphasize that when properly regularized, the deep network is robust and is of superior testing performance compared to simpler methods.

Effectiveness of oncogenetics training on general practitioners' consultation skills: a randomized controlled trial.

Science.gov (United States)

Houwink, Elisa J F; Muijtjens, Arno M M; van Teeffelen, Sarah R; Henneman, Lidewij; Rethans, Jan Joost; van der Jagt, Liesbeth E J; van Luijk, Scheltus J; Dinant, Geert Jan; van der Vleuten, Cees; Cornel, Martina C

2014-01-01

General practitioners are increasingly called upon to deliver genetic services and could play a key role in translating potentially life-saving advancements in oncogenetic technologies to patient care. If general practitioners are to make an effective contribution in this area, their genetics competencies need to be upgraded. The aim of this study was to investigate whether oncogenetics training for general practitioners improves their genetic consultation skills. In this pragmatic, blinded, randomized controlled trial, the intervention consisted of a 4-h training (December 2011 and April 2012), covering oncogenetic consultation skills (family history, familial risk assessment, and efficient referral), attitude (medical ethical issues), and clinical knowledge required in primary-care consultations. Outcomes were measured using observation checklists by unannounced standardized patients and self-reported questionnaires. Of 88 randomized general practitioners who initially agreed to participate, 56 completed all measurements. Key consultation skills significantly and substantially improved; regression coefficients after intervention were equivalent to 0.34 and 0.28 at 3-month follow-up, indicating a moderate effect size. Satisfaction and perceived applicability of newly learned skills were highly scored. The general practitioner-specific training proved to be a feasible, satisfactory, and clinically applicable method to improve oncogenetics consultation skills and could be used as an educational framework to inform future training activities with the ultimate aim of improving medical care.

Learning styles of medical students, general surgery residents, and general surgeons: implications for surgical education

OpenAIRE

de Gara Chris; Engels Paul T

2010-01-01

Abstract Background Surgical education is evolving under the dual pressures of an enlarging body of knowledge required during residency and mounting work-hour restrictions. Changes in surgical residency training need to be based on available educational models and research to ensure successful training of surgeons. Experiential learning theory, developed by David Kolb, demonstrates the importance of individual learning styles in improving learning. This study helps elucidate the way in which ...

The transition to general management in South Africa

Directory of Open Access Journals (Sweden)

Stephen J. Mallaby

2017-05-01

Full Text Available Orientation: Understanding the nature and challenges of making the transition from a functional role to a general management role in South African organisations. Research purpose: The objective of this study was to gain insight into the obstacles that affect the transition from functional to general management and identify steps that may be taken to overcome these challenges. Motivation for the study: One of the most difficult crossroads for a manager is making the shift from being a functional specialist to becoming a general manager. New competencies and behaviours are required, as well as a more strategic mind set. If the transition is not made successfully, the manager and the organisation suffer. Research design, approach and method: A qualitative design was used consisting of in-depth, semi-structured interviews, with 19 senior business leaders who had successfully made the transition. The interviews were used to gather insights into the challenges they faced during their transitions, and how these were overcome. Main findings: To make the transition successfully, functional managers need to gain relevant experience to prepare them for the broader scope of a general management role. They need to develop appropriate skills, attitudes and personal characteristics. Mentoring is an effective development process. Newly appointed general managers need to learn to let go of control while maintaining ownership, build relationships and strike the right balance between strategic thinking and execution. There are unique aspects of being a general manager in South Africa, such as dealing with Black Economic Empowerment and challenges of race and identity, given the country’s history. Practical and managerial implications: Specific interventions are suggested which are directed at both aspiring general managers and organisations seeking to assist middle managers to make the transition to general managers. Contribution: This study contributes to

General Dimensional Multiple-Output Support Vector Regressions and Their Multiple Kernel Learning.

Science.gov (United States)

Chung, Wooyong; Kim, Jisu; Lee, Heejin; Kim, Euntai

2015-11-01

Support vector regression has been considered as one of the most important regression or function approximation methodologies in a variety of fields. In this paper, two new general dimensional multiple output support vector regressions (MSVRs) named SOCPL1 and SOCPL2 are proposed. The proposed methods are formulated in the dual space and their relationship with the previous works is clearly investigated. Further, the proposed MSVRs are extended into the multiple kernel learning and their training is implemented by the off-the-shelf convex optimization tools. The proposed MSVRs are applied to benchmark problems and their performances are compared with those of the previous methods in the experimental section.

Enhanced attentional gain as a mechanism for generalized perceptual learning in human visual cortex.

Science.gov (United States)

Byers, Anna; Serences, John T

2014-09-01

Learning to better discriminate a specific visual feature (i.e., a specific orientation in a specific region of space) has been associated with plasticity in early visual areas (sensory modulation) and with improvements in the transmission of sensory information from early visual areas to downstream sensorimotor and decision regions (enhanced readout). However, in many real-world scenarios that require perceptual expertise, observers need to efficiently process numerous exemplars from a broad stimulus class as opposed to just a single stimulus feature. Some previous data suggest that perceptual learning leads to highly specific neural modulations that support the discrimination of specific trained features. However, the extent to which perceptual learning acts to improve the discriminability of a broad class of stimuli via the modulation of sensory responses in human visual cortex remains largely unknown. Here, we used functional MRI and a multivariate analysis method to reconstruct orientation-selective response profiles based on activation patterns in the early visual cortex before and after subjects learned to discriminate small offsets in a set of grating stimuli that were rendered in one of nine possible orientations. Behavioral performance improved across 10 training sessions, and there was a training-related increase in the amplitude of orientation-selective response profiles in V1, V2, and V3 when orientation was task relevant compared with when it was task irrelevant. These results suggest that generalized perceptual learning can lead to modified responses in the early visual cortex in a manner that is suitable for supporting improved discriminability of stimuli drawn from a large set of exemplars. Copyright © 2014 the American Physiological Society.

Analysis of ensemble learning using simple perceptrons based on online learning theory

Science.gov (United States)

Miyoshi, Seiji; Hara, Kazuyuki; Okada, Masato

2005-03-01

Ensemble learning of K nonlinear perceptrons, which determine their outputs by sign functions, is discussed within the framework of online learning and statistical mechanics. One purpose of statistical learning theory is to theoretically obtain the generalization error. This paper shows that ensemble generalization error can be calculated by using two order parameters, that is, the similarity between a teacher and a student, and the similarity among students. The differential equations that describe the dynamical behaviors of these order parameters are derived in the case of general learning rules. The concrete forms of these differential equations are derived analytically in the cases of three well-known rules: Hebbian learning, perceptron learning, and AdaTron (adaptive perceptron) learning. Ensemble generalization errors of these three rules are calculated by using the results determined by solving their differential equations. As a result, these three rules show different characteristics in their affinity for ensemble learning, that is “maintaining variety among students.” Results show that AdaTron learning is superior to the other two rules with respect to that affinity.

Quality of life in newly diagnosed children with specific learning disabilities (SpLD) and differences from typically developing children: a study of child and parent reports.

Science.gov (United States)

Ginieri-Coccossis, M; Rotsika, V; Skevington, S; Papaevangelou, S; Malliori, M; Tomaras, V; Kokkevi, A

2013-07-01

Research on quality of life (QoL) of school children with specific learning disabilities (SpLD) and their parents is scarce. The present study explores QoL deficits in newly diagnosed children with SpLD and their parents, in comparison to a similar age group of typically developing children. Possible associations between parental and child QoL were statistically explored in both groups of children. 70 newly diagnosed children with SpLD [International Classification of Diseases-10 (ICD-10) criteria] (38 boys, 32 girls, mean age 10.1 years) and a control group of 69 typically developing children of the same age (40 boys, 29 girls, mean age 10.6 years) were recruited. Children were of normal intelligence quotient, attending mainstream schools. Their parents were also recruited so a child's scores could be associated with corresponding parental scores (mother or father). Children's QoL was assessed by the German questionnaire for measuring quality of life in children and adolescents (KINDL(R) ) questionnaire and parental QoL by World Health Organization Quality of Life brief questionnaire (WHOQOL-BREF) of the World Health Organization. Children with SpLD in comparison to typically developing children reported according to the KINDL(R) measurement poorer emotional well-being, lower self-esteem and satisfaction in their relationships with family and friends. Surprisingly, school functioning was not reported by these children as an area of concern. Parents of children with SpLD indicated experiencing lower satisfaction in the WHOQOL-BREF domains of social relationships and environment. Correlational and regression analysis with parental-child QoL scores provided evidence that in the SpLD group, parental scores on WHOQOL-BREF social relationships and psychological health domains could be predictors of the child's emotional well-being, satisfaction with family, friends and school functioning. Stepwise regression analysis verified the effect of parents' WHOQOL-BREF social

Confidence in leadership among the newly qualified.

Science.gov (United States)

Bayliss-Pratt, Lisa; Morley, Mary; Bagley, Liz; Alderson, Steven

2013-10-23

The Francis report highlighted the importance of strong leadership from health professionals but it is unclear how prepared those who are newly qualified feel to take on a leadership role. We aimed to assess the confidence of newly qualified health professionals working in the West Midlands in the different competencies of the NHS Leadership Framework. Most respondents felt confident in their abilities to demonstrate personal qualities and work with others, but less so at managing or improving services or setting direction.

Substrate texture affects female cricket walking response to male calling song

Science.gov (United States)

Sarmiento-Ponce, E. J.; Sutcliffe, M. P. F.; Hedwig, B.

2018-03-01

Field crickets are extensively used as a model organism to study female phonotactic walking behaviour, i.e. their attraction to the male calling song. Laboratory-based phonotaxis experiments generally rely on arena or trackball-based settings; however, no attention has been paid to the effect of substrate texture on the response. Here, we tested phonotaxis in female Gryllus bimaculatus, walking on trackballs machined from methyl-methacrylate foam with different cell sizes. Surface height variations of the trackballs, due to the cellular composition of the material, were measured with profilometry and characterized as smooth, medium or rough, with roughness amplitudes of 7.3, 16 and 180 µm. Female phonotaxis was best on a rough and medium trackball surface, a smooth surface resulted in a significant lower phonotactic response. Claws of the cricket foot were crucial for effective walking. Females insert their claws into the surface pores to allow mechanical interlocking with the substrate texture and a high degree of attachment, which cannot be established on smooth surfaces. These findings provide insight to the biomechanical basis of insect walking and may inform behavioural studies that the surface texture on which walking insects are tested is crucial for the resulting behavioural response.

Neuroimaging studies of practice-related change: fMRI and meta-analytic evidence of a domain-general control network for learning.

Science.gov (United States)

Chein, Jason M; Schneider, Walter

2005-12-01

Functional magnetic resonance imaging and a meta-analysis of prior neuroimaging studies were used to characterize cortical changes resulting from extensive practice and to evaluate a dual-processing account of the neural mechanisms underlying human learning. Three core predictions of the dual processing theory are evaluated: 1) that practice elicits generalized reductions in regional activity by reducing the load on the cognitive control mechanisms that scaffold early learning; 2) that these control mechanisms are domain-general; and 3) that no separate processing pathway emerges as skill develops. To evaluate these predictions, a meta-analysis of prior neuroimaging studies and a within-subjects fMRI experiment contrasting unpracticed to practiced performance in a paired-associate task were conducted. The principal effect of practice was found to be a reduction in the extent and magnitude of activity in a cortical network spanning bilateral dorsal prefrontal, left ventral prefrontal, medial frontal (anterior cingulate), left insular, bilateral parietal, and occipito-temporal (fusiform) areas. These activity reductions are shown to occur in common regions across prior neuroimaging studies and for both verbal and nonverbal paired-associate learning in the present fMRI experiment. The implicated network of brain regions is interpreted as a domain-general system engaged specifically to support novice, but not practiced, performance.

Students' Learning of a Generalized Theory of Sound Transmission from a Teaching-Learning Sequence about Sound, Hearing and Health

Science.gov (United States)

West, Eva; Wallin, Anita

2013-04-01

Learning abstract concepts such as sound often involves an ontological shift because to conceptualize sound transmission as a process of motion demands abandoning sound transmission as a transfer of matter. Thus, for students to be able to grasp and use a generalized model of sound transmission poses great challenges for them. This study involved 199 students aged 10-14. Their views about sound transmission were investigated before and after teaching by comparing their written answers about sound transfer in different media. The teaching was built on a research-based teaching-learning sequence (TLS), which was developed within a framework of design research. The analysis involved interpreting students' underlying theories of sound transmission, including the different conceptual categories that were found in their answers. The results indicated a shift in students' understandings from the use of a theory of matter before the intervention to embracing a theory of process afterwards. The described pattern was found in all groups of students irrespective of age. Thus, teaching about sound and sound transmission is fruitful already at the ages of 10-11. However, the older the students, the more advanced is their understanding of the process of motion. In conclusion, the use of a TLS about sound, hearing and auditory health promotes students' conceptualization of sound transmission as a process in all grades. The results also imply some crucial points in teaching and learning about the scientific content of sound.

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

Learning Networks for Lifelong Learning

OpenAIRE

Sloep, Peter

2009-01-01

Presentation in a seminar organized by Christopher Hoadley at Penn State University, October 2004.Contains general introduction into the Learning Network Programme and a demonstration of the Netlogo Simulation of a Learning Network.

Mentoring program for students newly enrolled in an Engineering Degree

Directory of Open Access Journals (Sweden)

Juan Pedro Peña-Martín

2016-10-01

Full Text Available This work presents a mentoring program for first year engineering students in the Telecommunications Engineering College (ETSIT at the University of Malaga (UMA. Actors involved in the program are professors from staff, veterans mentoring students and, of course, freshmen. All of them has been organized trough the Moodle based Virtual Learning Environment Platform of the UMA. The program has gone through several phases over three years. This paper shows the main objectives of this mentoring program, the initial design to get them where professors played mentor role, and successive changes made to try to improve the results, including the assumption of the mentor role by senior students (peer mentoring. The tools used for program evaluation are shown too. Despite the low participation, it has been a framework for the development of various educational and socializing activities (for mentors and mentees focused on developing generic competences. Furthermore, it has been a research tool to get a better understanding of problems affecting students newly enrolled.

Reframing Practice: High School Mathematics Teachers' Learning through Interactions in Their Workplace Community

Science.gov (United States)

Bannister, Nicole A.

2009-01-01

This dissertation seeks to understand how teachers learn through interactions in newly formed workplace communities by examining how mathematics teachers engaged in equity-oriented reforms frame problems of practice. It examines how teachers' framings develop over time, and how teachers' shifting frames connect to their learning in a community of…

General practitioners as supervisors in postgraduate clinical education

DEFF Research Database (Denmark)

Wearne, Susan; Dornan, Tim; Teunissen, Pim W.

2012-01-01

Context General practice supervisors are said to serve as the cornerstones of general practice postgraduate education and therefore it is important to clearly define their roles and what makes them effective. The commonly used definition of a supervisor is not primarily based on general practice...... with resident doctors that provided a foundation for learning. Residents needed a balance of challenge, usually provided by patients, and support, provided by supervisors. Supervisors established learning environments, assessed residents' learning needs, facilitated learning, monitored the content and process...... of learning and the well-being of residents, and summarised learning in ways that turned 'know that' into 'know how'. Conclusions General practice must be expert in ensuring patients are well cared for 'by proxy' and in giving residents just the right amount of support they need to face the challenges posed...

Neural signatures of second language learning and control.

Science.gov (United States)

Bartolotti, James; Bradley, Kailyn; Hernandez, Arturo E; Marian, Viorica

2017-04-01

Experience with multiple languages has unique effects on cortical structure and information processing. Differences in gray matter density and patterns of cortical activation are observed in lifelong bilinguals compared to monolinguals as a result of their experience managing interference across languages. Monolinguals who acquire a second language later in life begin to encounter the same type of linguistic interference as bilinguals, but with a different pre-existing language architecture. The current study used functional magnetic resonance imaging to explore the beginning stages of second language acquisition and cross-linguistic interference in monolingual adults. We found that after English monolinguals learned novel Spanish vocabulary, English and Spanish auditory words led to distinct patterns of cortical activation, with greater recruitment of posterior parietal regions in response to English words and of left hippocampus in response to Spanish words. In addition, cross-linguistic interference from English influenced processing of newly-learned Spanish words, decreasing hippocampus activity. Results suggest that monolinguals may rely on different memory systems to process a newly-learned second language, and that the second language system is sensitive to native language interference. Copyright © 2016 Elsevier Ltd. All rights reserved.

Context-dependent Generalization

Directory of Open Access Journals (Sweden)

Jordan A Taylor

2013-05-01

Full Text Available The pattern of generalization following motor learning can provide a probe on the neural mechanisms underlying learning. For example, the breadth of generalization to untrained regions of space after visuomotor adaptation to targets in a restricted region of space has been attributed to the directional tuning properties of neurons in the motor system. Building on this idea, the effect of different types of perturbations on generalization (e.g., rotation versus visual translation have been attributed to the selection of differentially tuned populations. Overlooked in this discussion is consideration of how the context of the training environment may constrain generalization. Here, we explore the role of context by having participants learn a visuomotor rotation or a translational shift in two different contexts, one in which the array of targets were presented in a circular arrangement and the other in which they were presented in a rectilinear arrangement. The perturbation and environments were either consistent (e.g., rotation with circular arrangement or inconsistent (e.g., rotation with rectilinear arrangement. The pattern of generalization across the workspace was much more dependent on the context of the environment than on the perturbation, with broad generalization for the rectilinear arrangement for both types of perturbations. Moreover, the generalization pattern for this context was evident, even when the perturbation was introduced in a gradual manner, precluding the use of an explicit strategy. We describe how current models of generalization might be modified to incorporate these results, building on the idea that context provides a strong bias for how the motor system infers the nature of the visuomotor perturbation and, in turn, how this information influences the pattern of generalization.

Active Learning Through Discussion in E-Learning

OpenAIRE

Daru Wahyuningsih

2016-01-01

Active learning is generally made by a lecturer in learning face to face. In the face to face learning, lecturer can implement a variety of teaching methods to make students actively involved in learning. This is different from learning that is actuating in e-learning. The main characteristic of e-learning is learning that can take place anytime and anywhere. Special strategies are needed so that lecturer can make students play an active role in the course of e-learning. Research in order to ...

Problems faced by newly diagnosed diabetes mellitus patients at ...

African Journals Online (AJOL)

Diabetes mellitus can be a frightening experience for newly diagnosed patients. The aim of this study was to determine and describe the problems faced by newly diagnosed diabetes mellitus patients at primary healthcare facilities at Mopani district, Limpopo Province. A qualitative, descriptive and contextual research ...

The Essences of Culinary Arts Students' Lived Experience of General Education Online Learning: An Interpretive Phenomenological Analysis

Science.gov (United States)

Keovilay, Sisavath

2015-01-01

This phenomenological research study explored the lived experiences of culinary arts students learning general education online while enrolled in a face-to-face (f2f) culinary arts class. This research used Interpretative Phenomenological Analysis (IPA) to analyze how culinary arts students, in a not-for-profit Florida University, made sense of…

Newly graduated nurses' use of knowledge sources in clinical decision-making

DEFF Research Database (Denmark)

Voldbjerg, Siri Lygum; Grønkjaer, Mette; Wiechula, Rick

2017-01-01

AIMS AND OBJECTIVES: To explore which knowledge sources newly graduated nurses' use in clinical decision-making and why and how they are used. BACKGROUND: In spite of an increased educational focus on skills and competencies within evidence based practice newly graduated nurses' ability to use...... approaches to strengthen the knowledgebase used in clinical decision-making. DESIGN AND METHODS: Ethnographic study using participant-observation and individual semi-structured interviews of nine Danish newly graduated nurses in medical and surgical hospital settings. RESULTS: Newly graduates use...... in clinical decision-making. If newly graduates are to be supported in an articulate and reflective use of a variety of sources, they have to be allocated to experienced nurses who model a reflective, articulate and balanced use of knowledge sources. This article is protected by copyright. All rights reserved....

Homework through a network: designing technologies to support learning activities within the home and between home and school

OpenAIRE

Fraser, Katie C.

2009-01-01

Government policy and academic research both talk about transforming learning through networked technologies – sharing newly available information about the learning context with new partners to support lifelong learning activities, and giving learners increased power and autonomy. This thesis examines how such learning opportunities might be supported. In order to ground these learning opportunities in current educational activity it studies homework, which is an example of a learning activi...

Value of a newly sequenced bacterial genome

DEFF Research Database (Denmark)

Barbosa, Eudes; Aburjaile, Flavia F; Ramos, Rommel Tj

2014-01-01

and annotation will not be undertaken. It is important to know what is lost when we settle for a draft genome and to determine the "scientific value" of a newly sequenced genome. This review addresses the expected impact of newly sequenced genomes on antibacterial discovery and vaccinology. Also, it discusses...... heightened expectations that NGS would boost antibacterial discovery and vaccine development. Although many possible drug and vaccine targets have been discovered, the success rate of genome-based analysis has remained below expectations. Furthermore, NGS has had consequences for genome quality, resulting...

Learning Geometry by Designing Persian Mosaics

Science.gov (United States)

Karssenberg, Goossen

2014-01-01

To encourage students to do geometry, the art of Islamic geometric ornamentation was chosen as the central theme of a lesson strand which was developed using the newly presented didactical tool called "Learning by Acting". The Dutch students who took these lessons in 2010 to 2013 were challenged to act as if they themselves were Persian…

Newly released EIA-law. A palette of wishes?; Das neue UVP-Recht. Ein Wunschkonzert?

Energy Technology Data Exchange (ETDEWEB)

Feldmann, Ulrike

2015-05-15

The EU-directive on Environmental Impact Assessment (EIA) for certain public and private projects was once again amended in 2014 after controversial discussions, three previous modifications during 1985 and 2010 and an aggregation of all amendments within the EU-EIA-2011/92 directive. This newly released EU-EIA-directive 2014/52/EU (hereinafter RL 2014/52) is published within the EU-official journal EU L 124 p. 1 from 25.04.2014, came into force on 15. May 2014 and has to be adopted into international law until 16.05.2017. The modifications made are also valid, apart from certain exceptions, for licensing procedures (including decommissioning of nuclear power plants) in the field of nuclear energy, as far as they might have possible, significant environmental effects. The European EIA directive's 30th ''anniversary'' on 27.06.2015 raises the question, which substantial changes will come soon along with the newly released EU-EIA law. All in all it seems like if authorities and industry might get along with the newly released EU-EIA regulations. The responsible Federal Ministry for the Environment is already working on a first preliminary draft. It is under consideration if the EIA-regulation should be submitted additionally, beyond required amendments by EU-law, to a general revision. EIA-law remains exciting.

Measuring New-Voter Learning via Three Channels of Political Information.

Science.gov (United States)

Martinelli, Kathleen A.; Chaffee, Steven H.

1995-01-01

Reports on a cross-sectional survey of newly naturalized United States citizens before the 1988 United States presidential election. Finds that newspaper, television news, and television ads each made a separate, significant contribution to issue learning. (SR)

Patient/Family Education for Newly Diagnosed Pediatric Oncology Patients.

Science.gov (United States)

Landier, Wendy; Ahern, JoAnn; Barakat, Lamia P; Bhatia, Smita; Bingen, Kristin M; Bondurant, Patricia G; Cohn, Susan L; Dobrozsi, Sarah K; Haugen, Maureen; Herring, Ruth Anne; Hooke, Mary C; Martin, Melissa; Murphy, Kathryn; Newman, Amy R; Rodgers, Cheryl C; Ruccione, Kathleen S; Sullivan, Jeneane; Weiss, Marianne; Withycombe, Janice; Yasui, Lise; Hockenberry, Marilyn

There is a paucity of data to support evidence-based practices in the provision of patient/family education in the context of a new childhood cancer diagnosis. Since the majority of children with cancer are treated on pediatric oncology clinical trials, lack of effective patient/family education has the potential to negatively affect both patient and clinical trial outcomes. The Children's Oncology Group Nursing Discipline convened an interprofessional expert panel from within and beyond pediatric oncology to review available and emerging evidence and develop expert consensus recommendations regarding harmonization of patient/family education practices for newly diagnosed pediatric oncology patients across institutions. Five broad principles, with associated recommendations, were identified by the panel, including recognition that (1) in pediatric oncology, patient/family education is family-centered; (2) a diagnosis of childhood cancer is overwhelming and the family needs time to process the diagnosis and develop a plan for managing ongoing life demands before they can successfully learn to care for the child; (3) patient/family education should be an interprofessional endeavor with 3 key areas of focus: (a) diagnosis/treatment, (b) psychosocial coping, and (c) care of the child; (4) patient/family education should occur across the continuum of care; and (5) a supportive environment is necessary to optimize learning. Dissemination and implementation of these recommendations will set the stage for future studies that aim to develop evidence to inform best practices, and ultimately to establish the standard of care for effective patient/family education in pediatric oncology.

Distance educational technologies as means of increase of student’s motivation in the learning of general physics course

Science.gov (United States)

Gubkin, M. K.; Ivanov, D. A.; Ivanova, I. V.; Spivak, V. S.

2017-11-01

The Department of General physics and nuclear fusion, National Research University “Moscow Power Engineering Institute”, developed a set of tests (over 1000 questions) for the current control of knowledge of students in the section “Electricity and magnetism” of the General physics course using the internet distance learning system “Prometheus” (fourth generation). Under this section of the proposed test tasks are divided into sections corresponding to the topics section. These tasks include quality issues, design tasks, tasks with a choice of answers (one of many, many of many), the job with the selection region in the figure, tasks with detailed answer. The variety of tasks allows the teacher not only to objectively assess the student acquired knowledge but also to develop his problem-solving skills, to learn to be fluent in theory. The results of testing conducted for several years, show the high interest of students in the repeated independent execution of tasks and correlate well with the results of intermediate certification (exams).

Depression among newly admitted Australian nursing home residents.

Science.gov (United States)

McSweeney, K; O'Connor, D W

2008-08-01

This research concerns the prevalence and course of depression in newly admitted nursing home residents. We attempted to recruit consecutive admissions into the study, irrespective of cognitive status, enabling a comparison of the prevalence and course of depression experienced by cognitively intact residents and those exhibiting all levels of cognitive impairment. Depression was assessed at one month, three months and six months post-admission. The assessment of mood in this study entailed the conduct of a semi-structured clinical interview, which encompassed DSM-IV criteria and Cornell Scale for Depression in Dementia (CSDD) items. Recruitment difficulties resulted in a sample of 51 newly admitted residents, drawn from six nursing homes located in Victoria, Australia. Of particular interest, throughout the duration of the study, only the cognitively impaired were diagnosed with major depression (MD). One month post-admission, 24% of the sample were diagnosed with MD, and a further 20% evidenced a non-major depressive disorder. At the second and third assessments, MD was observed in 14% and 15% of residents, respectively. For residents who completed all three assessments, there was no appreciable change in the proportion diagnosed with a depressive disorder, nor was there a change in the levels of depressive symptomatology. Although subject to limitations, the current study indicated that clinical depression in nursing home facilities most often occurs in residents who also exhibit pronounced cognitive impairment. These depressions are unlikely to remit spontaneously. Accordingly, care staff and general practitioners must be trained in the identification of depression in dementia, and any interventions implemented in these facilities should be tailored to meet the unique needs of this group.

Use of a Machine-learning Method for Predicting Highly Cited Articles Within General Radiology Journals.

Science.gov (United States)

Rosenkrantz, Andrew B; Doshi, Ankur M; Ginocchio, Luke A; Aphinyanaphongs, Yindalon

2016-12-01

This study aimed to assess the performance of a text classification machine-learning model in predicting highly cited articles within the recent radiological literature and to identify the model's most influential article features. We downloaded from PubMed the title, abstract, and medical subject heading terms for 10,065 articles published in 25 general radiology journals in 2012 and 2013. Three machine-learning models were applied to predict the top 10% of included articles in terms of the number of citations to the article in 2014 (reflecting the 2-year time window in conventional impact factor calculations). The model having the highest area under the curve was selected to derive a list of article features (words) predicting high citation volume, which was iteratively reduced to identify the smallest possible core feature list maintaining predictive power. Overall themes were qualitatively assigned to the core features. The regularized logistic regression (Bayesian binary regression) model had highest performance, achieving an area under the curve of 0.814 in predicting articles in the top 10% of citation volume. We reduced the initial 14,083 features to 210 features that maintain predictivity. These features corresponded with topics relating to various imaging techniques (eg, diffusion-weighted magnetic resonance imaging, hyperpolarized magnetic resonance imaging, dual-energy computed tomography, computed tomography reconstruction algorithms, tomosynthesis, elastography, and computer-aided diagnosis), particular pathologies (prostate cancer; thyroid nodules; hepatic adenoma, hepatocellular carcinoma, non-alcoholic fatty liver disease), and other topics (radiation dose, electroporation, education, general oncology, gadolinium, statistics). Machine learning can be successfully applied to create specific feature-based models for predicting articles likely to achieve high influence within the radiological literature. Copyright © 2016 The Association of University

Vocabulary learning benefits from REM after slow-wave sleep.

Science.gov (United States)

Batterink, Laura J; Westerberg, Carmen E; Paller, Ken A

2017-10-01

Memory reactivation during slow-wave sleep (SWS) influences the consolidation of recently acquired knowledge. This reactivation occurs spontaneously during sleep but can also be triggered by presenting learning-related cues, a technique known as targeted memory reactivation (TMR). Here we examined whether TMR can improve vocabulary learning. Participants learned the meanings of 60 novel words. Auditory cues for half the words were subsequently presented during SWS in an afternoon nap. Memory performance for cued versus uncued words did not differ at the group level but was systematically influenced by REM sleep duration. Participants who obtained relatively greater amounts of REM showed a significant benefit for cued relative to uncued words, whereas participants who obtained little or no REM demonstrated a significant effect in the opposite direction. We propose that REM after SWS may be critical for the consolidation of highly integrative memories, such as new vocabulary. Reactivation during SWS may allow newly encoded memories to be associated with other information, but this association can include disruptive linkages with pre-existing memories. Subsequent REM sleep may then be particularly beneficial for integrating new memories into appropriate pre-existing memory networks. These findings support the general proposition that memory storage benefits optimally from a cyclic succession of SWS and REM. Copyright © 2017 Elsevier Inc. All rights reserved.

Sentence processing in an artificial language: Learning and using combinatorial constraints.

Science.gov (United States)

Amato, Michael S; MacDonald, Maryellen C

2010-07-01

A study combining artificial grammar and sentence comprehension methods investigated the learning and online use of probabilistic, nonadjacent combinatorial constraints. Participants learned a small artificial language describing cartoon monsters acting on objects. Self-paced reading of sentences in the artificial language revealed comprehenders' sensitivity to nonadjacent combinatorial constraints, without explicit awareness of the probabilities embedded in the language. These results show that even newly-learned constraints have an identifiable effect on online sentence processing. The rapidity of learning in this paradigm relative to others has implications for theories of implicit learning and its role in language acquisition. 2010 Elsevier B.V. All rights reserved.

Generalized eigenvalue based spectrum sensing

KAUST Repository

Shakir, Muhammad

2012-01-01

Spectrum sensing is one of the fundamental components in cognitive radio networks. In this chapter, a generalized spectrum sensing framework which is referred to as Generalized Mean Detector (GMD) has been introduced. In this context, we generalize the detectors based on the eigenvalues of the received signal covariance matrix and transform the eigenvalue based spectrum sensing detectors namely: (i) the Eigenvalue Ratio Detector (ERD) and two newly proposed detectors which are referred to as (ii) the GEometric Mean Detector (GEMD) and (iii) the ARithmetic Mean Detector (ARMD) into an unified framework of generalize spectrum sensing. The foundation of the proposed framework is based on the calculation of exact analytical moments of the random variables of the decision threshold of the respective detectors. The decision threshold has been calculated in a closed form which is based on the approximation of Cumulative Distribution Functions (CDFs) of the respective test statistics. In this context, we exchange the analytical moments of the two random variables of the respective test statistics with the moments of the Gaussian (or Gamma) distribution function. The performance of the eigenvalue based detectors is compared with the several traditional detectors including the energy detector (ED) to validate the importance of the eigenvalue based detectors and the performance of the GEMD and the ARMD particularly in realistic wireless cognitive radio network. Analytical and simulation results show that the newly proposed detectors yields considerable performance advantage in realistic spectrum sensing scenarios. Moreover, the presented results based on proposed approximation approaches are in perfect agreement with the empirical results. © 2012 Springer Science+Business Media Dordrecht.

Homeostatic Agent for General Environment

Science.gov (United States)

Yoshida, Naoto

2018-03-01

One of the essential aspect in biological agents is dynamic stability. This aspect, called homeostasis, is widely discussed in ethology, neuroscience and during the early stages of artificial intelligence. Ashby's homeostats are general-purpose learning machines for stabilizing essential variables of the agent in the face of general environments. However, despite their generality, the original homeostats couldn't be scaled because they searched their parameters randomly. In this paper, first we re-define the objective of homeostats as the maximization of a multi-step survival probability from the view point of sequential decision theory and probabilistic theory. Then we show that this optimization problem can be treated by using reinforcement learning algorithms with special agent architectures and theoretically-derived intrinsic reward functions. Finally we empirically demonstrate that agents with our architecture automatically learn to survive in a given environment, including environments with visual stimuli. Our survival agents can learn to eat food, avoid poison and stabilize essential variables through theoretically-derived single intrinsic reward formulations.

Newly Generated Liquid Waste Processing Alternatives Study, Volume 1

Energy Technology Data Exchange (ETDEWEB)

Landman, William Henry; Bates, Steven Odum; Bonnema, Bruce Edward; Palmer, Stanley Leland; Podgorney, Anna Kristine; Walsh, Stephanie

2002-09-01

This report identifies and evaluates three options for treating newly generated liquid waste at the Idaho Nuclear Technology and Engineering Center of the Idaho National Engineering and Environmental Laboratory. The three options are: (a) treat the waste using processing facilities designed for treating sodium-bearing waste, (b) treat the waste using subcontractor-supplied mobile systems, or (c) treat the waste using a special facility designed and constructed for that purpose. In studying these options, engineers concluded that the best approach is to store the newly generated liquid waste until a sodium-bearing waste treatment facility is available and then to co-process the stored inventory of the newly generated waste with the sodium-bearing waste. After the sodium-bearing waste facility completes its mission, two paths are available. The newly generated liquid waste could be treated using the subcontractor-supplied system or the sodium-bearing waste facility or a portion of it. The final decision depends on the design of the sodium-bearing waste treatment facility, which will be completed in coming years.

The influence of motivating operations on generalization probes of specific mands by children with autism.

Science.gov (United States)

Fragale, Christina L; O'Reilly, Mark F; Aguilar, Jeannie; Pierce, Nigel; Lang, Russell; Sigafoos, Jeff; Lancioni, Giulio

2012-01-01

We investigated the influence of motivating operations on the generalization of newly taught mands across settings and communication partners for 3 children with autism. Two conditions were implemented prior to generalization probes. In the first condition, participants were given access to a preferred item until they rejected the item (i.e., abolishing operation). In the second condition, the item was not available to participants prior to generalization probes (i.e., establishing operation). The effects of these conditions on the generalization of newly taught mands were evaluated in a multielement design. Results indicated differentiated responding during generalization probes in which more manding with the target mand was observed following the presession no-access condition than in the presession access condition. These results support the consideration of motivating operations when assessing generalization of target mands to various untrained contexts.

Teacher learning as workplace learning

NARCIS (Netherlands)

Imants, J.; Van Veen, K.

2010-01-01

Against the background of increasing attention in teacher professional development programs for situating teacher learning in the workplace, an overview is given of what is known in general and in educational workplace learning literature on the characteristics and conditions of the workplace.

Five Generalizations About Cognitive Development.

Science.gov (United States)

Siegler, Robert S.

1983-01-01

Proposes five generalizations on existing knowledge, learning, and their interaction, and discusses evidence for these from recent research on children's learning, memory, conceptual understanding, and problem solving. (Author/AOS)

LEARNING ABOUT LEARNING, A CONFERENCE REPORT.

Science.gov (United States)

BRUNER, JEROME

TO EXPLORE THE NATURE OF THE LEARNING PROCESS, THREE IMPORTANT PROBLEM AREAS WERE STUDIED. STUDIES IN THE FIRST AREA, ATTITUDINAL AND AFFECTIVE SKILLS, ARE CONCERNED WITH INDUCING A CHILD TO LEARN AND SUSTAINING HIS ATTENTION. STUDIES IN THE SECOND AREA, COGNITIVE SKILLS, SOUGHT TO DISCOVER WHETHER GENERAL IDEAS AND SKILLS CAN BE LEARNED IN SUCH A…

Design and Assessment of a General Science STEM Course with a Blended Learning Approach

Science.gov (United States)

Courtier, A. M.; Liu, J. C.; St John, K. K.

2015-12-01

Blended learning, a combination of classroom- and computer-mediated teaching and learning, is becoming prominent in higher education, and structured assessment is necessary to determine pedagogical costs and benefits. Assessment of a blended general education science class at James Madison University used a mixed-method causal-comparative design: in Spring 2014, two classes with identical content and similar groups of non-science majors were taught by the same instructor in either blended or full face-to-face formats. The learning experience of 160 students in the two classes was compared based on course and exam grades, classroom observation, and student survey results. Student acquisition of content in both classes was measured with pre-post tests using published concept inventories, and surveys, quizzes, and grade reports in the Blackboard learning management system were additionally used for data collection. Exams were identical between the two sections, and exam questions were validated in advance by a faculty member who teaches other sections of the same course. A course experience questionnaire was administered to measure students' personal experiences in both classes, addressing dimensions of good teaching, clear goals and standards, generic skills, appropriate assessment and workload, and emphasis on independence. Using a STEM classroom observation checklist, two researchers conducted in-class observations for four 75-minute face-to-face meetings with similar content focus in both classes, which allowed assessment of student engagement and participation. We will present details of the course design and research plan, as well as assessment results from both quantitative and qualitative analysis. The preliminary findings include slightly higher average grade distribution and more ready responses to in-class activities in the blended class.

Generalization of socially transmitted and instructed avoidance

Directory of Open Access Journals (Sweden)

Gemma eCameron

2015-06-01

Full Text Available Excessive avoidance behavior, in which an instrumental action prevents an upcoming aversive event, is a defining feature of anxiety disorders. Left unchecked, both fear and avoidance of potentially threatening stimuli may generalize to perceptually related stimuli and situations. The behavioral consequences of generalization mean that aversive learning experiences with specific threats may lead people to infer that classes of related stimuli are threatening, potentially dangerous, and need to be avoided, despite differences in physical form. Little is known about avoidance generalization in humans and the learning pathways by which it may be transmitted. In the present study, we compared two pathways to avoidance, instructions and social observation, on subsequent generalization of avoidance behavior, fear expectancy and physiological arousal. Participants first learned that one cue was a danger cue (conditioned stimulus, CS+ and another was a safety cue (CS-. Groups then were either instructed that a simple avoidance response in the presence of the CS+ cancelled upcoming shock presentations (instructed-learning group or observed a short movie showing a demonstrator performing the avoidance response to prevent shock (observational-learning group. During generalization testing, danger and safety cues were presented along with generalization stimuli that parametrically varied in perceptual similarity to the CS+. Reinstatement of fear and avoidance was also tested. Findings demonstrate, for the first time, generalization of socially transmitted and instructed avoidance: both groups showed comparable generalization gradients in fear expectancy, avoidance behavior and arousal. Return of fear was evident, suggesting that generalized avoidance remains persistent following extinction testing. The utility of the present paradigm for research on avoidance generalization is discussed.

Generalizing and learning protein-DNA binding sequence representations by an evolutionary algorithm

KAUST Repository

Wong, Ka Chun

2011-02-05

Protein-DNA bindings are essential activities. Understanding them forms the basis for further deciphering of biological and genetic systems. In particular, the protein-DNA bindings between transcription factors (TFs) and transcription factor binding sites (TFBSs) play a central role in gene transcription. Comprehensive TF-TFBS binding sequence pairs have been found in a recent study. However, they are in one-to-one mappings which cannot fully reflect the many-to-many mappings within the bindings. An evolutionary algorithm is proposed to learn generalized representations (many-to-many mappings) from the TF-TFBS binding sequence pairs (one-to-one mappings). The generalized pairs are shown to be more meaningful than the original TF-TFBS binding sequence pairs. Some representative examples have been analyzed in this study. In particular, it shows that the TF-TFBS binding sequence pairs are not presumably in one-to-one mappings. They can also exhibit many-to-many mappings. The proposed method can help us extract such many-to-many information from the one-to-one TF-TFBS binding sequence pairs found in the previous study, providing further knowledge in understanding the bindings between TFs and TFBSs. © 2011 Springer-Verlag.

Generalizing and learning protein-DNA binding sequence representations by an evolutionary algorithm

KAUST Repository

Wong, Ka Chun; Peng, Chengbin; Wong, Manhon; Leung, Kwongsak

2011-01-01

Protein-DNA bindings are essential activities. Understanding them forms the basis for further deciphering of biological and genetic systems. In particular, the protein-DNA bindings between transcription factors (TFs) and transcription factor binding sites (TFBSs) play a central role in gene transcription. Comprehensive TF-TFBS binding sequence pairs have been found in a recent study. However, they are in one-to-one mappings which cannot fully reflect the many-to-many mappings within the bindings. An evolutionary algorithm is proposed to learn generalized representations (many-to-many mappings) from the TF-TFBS binding sequence pairs (one-to-one mappings). The generalized pairs are shown to be more meaningful than the original TF-TFBS binding sequence pairs. Some representative examples have been analyzed in this study. In particular, it shows that the TF-TFBS binding sequence pairs are not presumably in one-to-one mappings. They can also exhibit many-to-many mappings. The proposed method can help us extract such many-to-many information from the one-to-one TF-TFBS binding sequence pairs found in the previous study, providing further knowledge in understanding the bindings between TFs and TFBSs. © 2011 Springer-Verlag.

The practical skills of newly qualified nurses.

Science.gov (United States)

Danbjørg, Dorthe Boe; Birkelund, Regner

2011-02-01

This paper reports the findings from a study of newly qualified nurses and which subjects the nurses regarded as the most important in order to be able to live up to the requirements of clinical practice, and how they experience their potential for developing practical and moral skills, after the decrease in practical training. A qualitative approach guided the research process and the analysis of the data. The data was collected by participant observation and qualitative interviews with four nurses as informants. The conclusions made in this study are based on the statements and the observations of the newly qualified nurses. Our findings are discussed in relation to the Aristotelian concept and other relevant literature. The main message is that the newly qualified nurses did not feel equipped when they finished their training. This could be interpreted as a direct consequence of the decrease in practical training. Our study also underlines that the way nursing theory is perceived and taught is problematic. The interviews revealed that the nurses think that nursing theories should be applied directly in practice. This misunderstanding is probably also applicable to the teachers of the theories. Copyright © 2010 Elsevier Ltd. All rights reserved.

A comprehensive literature review of guidelines facilitating transition of newly graduated nurses to professional nurses.

Science.gov (United States)

van Rooyen, Dalena R M; Jordan, Portia J; Ten Ham-Baloyi, Wilma; Caka, Ernestina M

2018-05-01

Literature shows that successful transition of newly graduate nurses to professional nurses is imperative but does not always take place, resulting in difficulty in performance, cognizance or behaviour of a role as a nurse, affecting the quality of patient care negatively. No integrative literature review could be found to summarize available guidelines facilitating transition of final year nursing students to professional nurses. An extensive search of the literature by means of an integrative literature review was conducted in 2014 and updated in June 2017, following a five-step process. All relevant studies were subsequently appraised for rigour and quality using the AGREE II tool by two independent reviewers. Eight (n = 8) guidelines on transitions were independently extracted. After thematic analysis was done, three factors to facilitate transition of final year nursing students to professional nurses were found: 1) support for new graduates, 2) the graduate's need for socialization and belonging, and 3) a positive clinical learning environment. The availability and implementation of guidelines on transition of final year nursing students by educational institutions and healthcare facilities could ease the transition from being final year nursing students to becoming professional nurses as well as improve retention of newly qualified professional nurses. Copyright © 2018. Published by Elsevier Ltd.

Newly graduated nurses' use of knowledge sources: a meta-ethnography.

Science.gov (United States)

Voldbjerg, Siri Lygum; Grønkjaer, Mette; Sørensen, Erik Elgaard; Hall, Elisabeth O C

2016-08-01

To advance evidence on newly graduated nurses' use of knowledge sources. Clinical decisions need to be evidence-based and understanding the knowledge sources that newly graduated nurses use will inform both education and practice. Qualitative studies on newly graduated nurses' use of knowledge sources are increasing though generated from scattered healthcare contexts. Therefore, a metasynthesis of qualitative research on what knowledge sources new graduates use in decision-making was conducted. Meta-ethnography. Nineteen reports, representing 17 studies, published from 2000-2014 were identified from iterative searches in relevant databases from May 2013-May 2014. Included reports were appraised for quality and Noblit and Hare's meta-ethnography guided the interpretation and synthesis of data. Newly graduated nurses' use of knowledge sources during their first 2-year postgraduation were interpreted in the main theme 'self and others as knowledge sources,' with two subthemes 'doing and following' and 'knowing and doing,' each with several elucidating categories. The metasynthesis revealed a line of argument among the report findings underscoring progression in knowledge use and perception of competence and confidence among newly graduated nurses. The transition phase, feeling of confidence and ability to use critical thinking and reflection, has a great impact on knowledge sources incorporated in clinical decisions. The synthesis accentuates that for use of newly graduated nurses' qualifications and skills in evidence-based practice, clinical practice needs to provide a supportive environment which nurtures critical thinking and questions and articulates use of multiple knowledge sources. © 2016 John Wiley & Sons Ltd.

Vicarious neural processing of outcomes during observational learning.

Directory of Open Access Journals (Sweden)

Elisabetta Monfardini

Full Text Available Learning what behaviour is appropriate in a specific context by observing the actions of others and their outcomes is a key constituent of human cognition, because it saves time and energy and reduces exposure to potentially dangerous situations. Observational learning of associative rules relies on the ability to map the actions of others onto our own, process outcomes, and combine these sources of information. Here, we combined newly developed experimental tasks and functional magnetic resonance imaging (fMRI to investigate the neural mechanisms that govern such observational learning. Results show that the neural systems involved in individual trial-and-error learning and in action observation and execution both participate in observational learning. In addition, we identified brain areas that specifically activate for others' incorrect outcomes during learning in the posterior medial frontal cortex (pMFC, the anterior insula and the posterior superior temporal sulcus (pSTS.

Vicarious neural processing of outcomes during observational learning.

Science.gov (United States)

Monfardini, Elisabetta; Gazzola, Valeria; Boussaoud, Driss; Brovelli, Andrea; Keysers, Christian; Wicker, Bruno

2013-01-01

Learning what behaviour is appropriate in a specific context by observing the actions of others and their outcomes is a key constituent of human cognition, because it saves time and energy and reduces exposure to potentially dangerous situations. Observational learning of associative rules relies on the ability to map the actions of others onto our own, process outcomes, and combine these sources of information. Here, we combined newly developed experimental tasks and functional magnetic resonance imaging (fMRI) to investigate the neural mechanisms that govern such observational learning. Results show that the neural systems involved in individual trial-and-error learning and in action observation and execution both participate in observational learning. In addition, we identified brain areas that specifically activate for others' incorrect outcomes during learning in the posterior medial frontal cortex (pMFC), the anterior insula and the posterior superior temporal sulcus (pSTS).

Spatial learning depends on both the addition and removal of new hippocampal neurons.

Directory of Open Access Journals (Sweden)

David Dupret

2007-08-01

Full Text Available The role of adult hippocampal neurogenesis in spatial learning remains a matter of debate. Here, we show that spatial learning modifies neurogenesis by inducing a cascade of events that resembles the selective stabilization process characterizing development. Learning promotes survival of relatively mature neurons, apoptosis of more immature cells, and finally, proliferation of neural precursors. These are three interrelated events mediating learning. Thus, blocking apoptosis impairs memory and inhibits learning-induced cell survival and cell proliferation. In conclusion, during learning, similar to the selective stabilization process, neuronal networks are sculpted by a tightly regulated selection and suppression of different populations of newly born neurons.

Higher iridescent-to-pigment optical effect in flowers facilitates learning, memory and generalization in foraging bumblebees.

Science.gov (United States)

de Premorel, Géraud; Giurfa, Martin; Andraud, Christine; Gomez, Doris

2017-10-25

Iridescence-change of colour with changes in the angle of view or of illumination-is widespread in the living world, but its functions remain poorly understood. The presence of iridescence has been suggested in flowers where diffraction gratings generate iridescent colours. Such colours have been suggested to serve plant-pollinator communication. Here we tested whether a higher iridescence relative to corolla pigmentation would facilitate discrimination, learning and retention of iridescent visual targets. We conditioned bumblebees ( Bombus terrestris ) to discriminate iridescent from non-iridescent artificial flowers and we varied iridescence detectability by varying target iridescent relative to pigment optical effect. We show that bees rewarded on targets with higher iridescent relative to pigment effect required fewer choices to complete learning, showed faster generalization to novel targets exhibiting the same iridescence-to-pigment level and had better long-term memory retention. Along with optical measurements, behavioural results thus demonstrate that bees can learn iridescence-related cues as bona fide signals for flower reward. They also suggest that floral advertising may be shaped by competition between iridescence and corolla pigmentation, a fact that has important evolutionary implications for pollinators. Optical measurements narrow down the type of cues that bees may have used for learning. Beyond pollinator-plant communication, our experiments help understanding how receivers influence the evolution of iridescence signals generated by gratings. © 2017 The Author(s).

Vocational trainees’ views and experiences regarding the learning and teaching of communication skills in general practice

OpenAIRE

Van Nuland, Marc; Thijs, Gaby; Van Royen, Paul; Van Den Noortgate, Wim; Goedhuys, Jo

2010-01-01

Objective: To explore the views and experiences of general practice (GP) vocational trainees regarding communication skills (CS) and the teaching and learning of these skills. METHODS: 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 in...

The impact of organisational culture on the adaptation of newly ...

African Journals Online (AJOL)

Usually newly employed nurses find adjusting to a work setting a challenging experience. Their successful adaptation to their work situation is greatly influenced by the socialisation process inherent in the organisational culture. The newly employed nurse often finds that the norms are unclear, confusing and restrictive.

A Fast Optimization Method for General Binary Code Learning.

Science.gov (United States)

Shen, Fumin; Zhou, Xiang; Yang, Yang; Song, Jingkuan; Shen, Heng; Tao, Dacheng

2016-09-22

Hashing or binary code learning has been recognized to accomplish efficient near neighbor search, and has thus attracted broad interests in recent retrieval, vision and learning studies. One main challenge of learning to hash arises from the involvement of discrete variables in binary code optimization. While the widely-used continuous relaxation may achieve high learning efficiency, the pursued codes are typically less effective due to accumulated quantization error. In this work, we propose a novel binary code optimization method, dubbed Discrete Proximal Linearized Minimization (DPLM), which directly handles the discrete constraints during the learning process. Specifically, the discrete (thus nonsmooth nonconvex) problem is reformulated as minimizing the sum of a smooth loss term with a nonsmooth indicator function. The obtained problem is then efficiently solved by an iterative procedure with each iteration admitting an analytical discrete solution, which is thus shown to converge very fast. In addition, the proposed method supports a large family of empirical loss functions, which is particularly instantiated in this work by both a supervised and an unsupervised hashing losses, together with the bits uncorrelation and balance constraints. In particular, the proposed DPLM with a supervised `2 loss encodes the whole NUS-WIDE database into 64-bit binary codes within 10 seconds on a standard desktop computer. The proposed approach is extensively evaluated on several large-scale datasets and the generated binary codes are shown to achieve very promising results on both retrieval and classification tasks.

Sexual learning among East African adolescents in the context of generalized HIV epidemics: A systematic qualitative meta-synthesis.

Directory of Open Access Journals (Sweden)

Amelia S Knopf

Full Text Available AIDS-related illness is the leading cause of mortality for adolescents in sub-Saharan Africa. Together, Kenya, Tanzania, and Uganda account for 21% of HIV-infected adolescents in sub-Saharan Africa. The United Nations framework for addressing the epidemic among adolescents calls for comprehensive sexual and reproductive health education. These HIV prevention efforts could be informed by a synthesis of existing research about the formal and informal sexual education of adolescents in countries experiencing generalized epidemics. The purpose of this study was to describe the process of sexual learning among East African adolescents living in the context of generalized HIV epidemics.Qualitative metasynthesis, a systematic procedure for integrating the results of multiple qualitative studies addressing a similar phenomenon, was used. Thirty-two research reports met study inclusion criteria. The reports were assessed in a four-step analytic process: appraisal, classification of findings, synthesis of findings, and construction of a framework depicting the process of sexual learning in this population.The framework includes three phases of sexual learning: 1 being primed for sex, 2 making sense of sex, and 3 having sexual experiences. Adolescents were primed for sex through gender norms, cultural practices, and economic structures as well as through conversations and formal instruction. They made sense of sex by acquiring information about sexual intercourse, reproduction and pregnancy, sexually transmitted infections, and relationships and by developing a variety of beliefs and attitudes about these topics. Some adolescents described having sexual experiences that met wants or needs, but many experienced sex that was coerced or violent. Whether sex was wanted, coerced, or violent, adolescents experienced worry about sexually transmitted infections or premarital pregnancy.The three phases of sexual learning interact to shape adolescents' sexual lives

NEWLY-PACKAGED BALI TOURIST PERFORMING ARTS IN THE PERSPECTIVE OF CULTURAL STUDIES

Directory of Open Access Journals (Sweden)

Ni Made Ruastiti

2012-11-01

Full Text Available This research is focused on the newly packaged tourist performing arts; they are anew concept and seem to be different from the general tourist performing arts. They arepackaged from various components of Balinese arts and managed as large scale-touristperforming arts in terms of materials, space, and time of their performances. The researchercalls them new types of Bali tourist performing arts because how they are presented isnew and different from the traditional tourist performing arts which are simply performed.In this research, the newly-packaged performing arts are analyzed in the perspective ofcultural studies.The research was carried out at three palaces in Bali; they are Mengwi Palace inBadung regency, Anyar Palace at Kerambitan, Tabanan regency, and Banyuning Palace atBongkasa, Badung regency. There are three main problems to be discussed: firstly, how dothe tourist performing arts emerge in all the palaces? Secondly, are they related to thetourist industry developed in the palaces?, thirdly, what is the impact and meaning of themfor the sake of the palaces, society, and Balinese culture? The researcher uses a qualitativemethod and an interdisciplinary approach as characteristics of cultural studies. The theoriesused are hegemony, deconstruction, and structuration.The result shows that the tourism development at all the palaces has made the localsociety become more critical. The money-oriented economy based on the spirit of gettingbenefit has made the emergence of comodification in all sectors of life. The emergence oftourist industry at the palaces has led to the idea of showing all of the useful art and culturalpotentials which at the palaces and their surroundings. Theoretically, the palaces can bestated to have deconstructed the concept of presenting the Bali tourist performing arts into anew one, that is, “the newly packaged Bali tourist performing arts”.It has been observed that all the palaces have developed t “Newly

rFerns: An Implementation of the Random Ferns Method for General-Purpose Machine Learning

Directory of Open Access Journals (Sweden)

Miron B. Kursa

2014-11-01

Full Text Available Random ferns is a very simple yet powerful classification method originally introduced for specific computer vision tasks. In this paper, I show that this algorithm may be considered as a constrained decision tree ensemble and use this interpretation to introduce a series of modifications which enable the use of random ferns in general machine learning problems. Moreover, I extend the method with an internal error approximation and an attribute importance measure based on corresponding features of the random forest algorithm. I also present the R package rFerns containing an efficient implementation of this modified version of random ferns.

Module for Learning Integral Calculus with Maple: Lecturers' Views

Science.gov (United States)

Awang, Tuan Salwani; Zakaria, Effandi

2012-01-01

Engineering technology students can attain a meaningful mathematics learning if they are allowed to actively participate in hands-on activities. However, the current dissemination of knowledge in the classroom still focuses on teacher-centered paradigm of teaching. A study to explore lecturers' views regarding a newly developed integral calculus…

Effective Learning Environments in Relation to Different Learning Theories

OpenAIRE

Guney, Ali; Al, Selda

2012-01-01

There are diverse learning theories which explain learning processes which are discussed within this paper, through cognitive structure of learning process. Learning environments are usually described in terms of pedagogical philosophy, curriculum design and social climate. There have been only just a few studies about how physical environment is related to learning process. Many researchers generally consider teaching and learning issues as if independent from physical environment, whereas p...

Mechanisms for Creating a Psychologically Safe Learning Environment in an Educational Institution of General Education

Directory of Open Access Journals (Sweden)

Leonova O.I.,

2014-11-01

Full Text Available At the moment the question of how to create and maintain the psychological safety of the educational environment of the school is not sufficiently studied. Meanwhile, there has been proved its positive effect on the psychological health of students, their emotional and personal well-being, the formation of a meta-subjective and personal educational outcomes. This paper describes a study the purpose of which was to examine and verify empiricaly the features of management activities in the educational organization to create a psychologically safe learning environment. We studied personality traits of the Head of an educational organization by the procedure "Troubleshooting leadership abilities" (E. Zharikova, E. Krushelnytsky, techniques "Diagnosis of the level of burnout" (V.V. Boyko, methods of self-management style assessment (A.V. Agrashenkova, modified by E.P. Ilyin, and methods for rapid assessment of health, activity, mood (SAN. We proposed mechanisms to solve the problem of creating a comfortable and safe learning environment in the educational organization of general education

Assessment for markers of nephropathy in newly diagnosed type 2 ...

African Journals Online (AJOL)

Objective: To assess for markers of nephropathy in newly diagnosed type 2 diabetics, using blood pressure levels, endogenous creatinine clearance and urinary protein excretion as markers of renal disease. Study design: Ninety newly diagnosed type 2 diabetics were studied within 6 weeks of diagnosis. They were in ...

Association between Exposure of Young Children to Procedures Requiring General Anesthesia and Learning and Behavioral Outcomes in a Population-based Birth Cohort.

Science.gov (United States)

Hu, Danqing; Flick, Randall P; Zaccariello, Michael J; Colligan, Robert C; Katusic, Slavica K; Schroeder, Darrell R; Hanson, Andrew C; Buenvenida, Shonie L; Gleich, Stephen J; Wilder, Robert T; Sprung, Juraj; Warner, David O

2017-08-01

Exposure of young animals to general anesthesia causes neurodegeneration and lasting behavioral abnormalities; whether these findings translate to children remains unclear. This study used a population-based birth cohort to test the hypothesis that multiple, but not single, exposures to procedures requiring general anesthesia before age 3 yr are associated with adverse neurodevelopmental outcomes. A retrospective study cohort was assembled from children born in Olmsted County, Minnesota, from 1996 to 2000 (inclusive). Propensity matching selected children exposed and not exposed to general anesthesia before age 3 yr. Outcomes ascertained via medical and school records included learning disabilities, attention-deficit/hyperactivity disorder, and group-administered ability and achievement tests. Analysis methods included proportional hazard regression models and mixed linear models. For the 116 multiply exposed, 457 singly exposed, and 463 unexposed children analyzed, multiple, but not single, exposures were associated with an increased frequency of both learning disabilities and attention-deficit/hyperactivity disorder (hazard ratio for learning disabilities = 2.17 [95% CI, 1.32 to 3.59], unexposed as reference). Multiple exposures were associated with decreases in both cognitive ability and academic achievement. Single exposures were associated with modest decreases in reading and language achievement but not cognitive ability. These findings in children anesthetized with modern techniques largely confirm those found in an older birth cohort and provide additional evidence that children with multiple exposures are more likely to develop adverse outcomes related to learning and attention. Although a robust association was observed, these data do not determine whether anesthesia per se is causal.

Categorization = Decision Making + Generalization

Science.gov (United States)

Seger, Carol A; Peterson, Erik J.

2013-01-01

We rarely, if ever, repeatedly encounter exactly the same situation. This makes generalization crucial for real world decision making. We argue that categorization, the study of generalizable representations, is a type of decision making, and that categorization learning research would benefit from approaches developed to study the neuroscience of decision making. Similarly, methods developed to examine generalization and learning within the field of categorization may enhance decision making research. We first discuss perceptual information processing and integration, with an emphasis on accumulator models. We then examine learning the value of different decision making choices via experience, emphasizing reinforcement learning modeling approaches. Next we discuss how value is combined with other factors in decision making, emphasizing the effects of uncertainty. Finally, we describe how a final decision is selected via thresholding processes implemented by the basal ganglia and related regions. We also consider how memory related functions in the hippocampus may be integrated with decision making mechanisms and contribute to categorization. PMID:23548891

Transferring experience labs for production engineering students to universities in newly industrialized countries

Science.gov (United States)

Leiden, A.; Posselt, G.; Bhakar, V.; Singh, R.; Sangwan, K. S.; Herrmann, C.

2018-01-01

The Indian economy is one of the fastest growing economies in the world and the demand for the skilled engineers is increasing. Subsequently the Indian education sector is growing to provide the necessary number of skilled engineers. Current Indian engineering graduates have broad theoretical background but lack in methodological, soft and practical skills. To bridge this gap, the experience lab ideas from the engineering education at “Die Lernfabrik” (learning factory) of the Technische Universität Braunschweig (TU Braunschweig) is transferred to the Birla Institute of Technology and Science in Pilani (BITS Pilani), India. This Lernfabrik successfully strengthened the methodological, soft and practical skills of the TU Braunschweig production-engineering graduates. The target group is discrete manufacturing education with focusing on energy and resource efficiency as well as cyber physical production systems. As the requirements of industry and academia in India differs from Germany, the transfer of the experience lab to the Indian education system needs special attention to realize a successful transfer project. This publication provides a unique approach to systematically transfer the educational concept in Learning Factory from a specific university environment to a different environment in a newly industrialized country. The help of a bilateral university driven practice partnership between the two universities creates a lighthouse for the Indian university environment.

14 CFR 26.39 - Newly produced airplanes: Fuel tank flammability.

Science.gov (United States)

2010-01-01

... 14 Aeronautics and Space 1 2010-01-01 2010-01-01 false Newly produced airplanes: Fuel tank... Tank Flammability § 26.39 Newly produced airplanes: Fuel tank flammability. (a) Applicability: This... Series 767 Series (b) Any fuel tank meeting all of the criteria stated in paragraphs (b)(1), (b)(2) and...

Stochastic collusion and the power law of learning: a general reinforcement learning model of cooperation

NARCIS (Netherlands)

Flache, A.

2002-01-01

Concerns about models of cultural adaptation as analogs of genetic selection have led cognitive game theorists to explore learning-theoretic specifications. Two prominent examples, the Bush-Mosteller stochastic learning model and the Roth-Erev payoff-matching model, are aligned and integrated as

Acquisition of speech rhythm in first language.

Science.gov (United States)

Polyanskaya, Leona; Ordin, Mikhail

2015-09-01

Analysis of English rhythm in speech produced by children and adults revealed that speech rhythm becomes increasingly more stress-timed as language acquisition progresses. Children reach the adult-like target by 11 to 12 years. The employed speech elicitation paradigm ensured that the sentences produced by adults and children at different ages were comparable in terms of lexical content, segmental composition, and phonotactic complexity. Detected differences between child and adult rhythm and between rhythm in child speech at various ages cannot be attributed to acquisition of phonotactic language features or vocabulary, and indicate the development of language-specific phonetic timing in the course of acquisition.

Learning about light and optics in on-line general education classes using at-home experimentation

Science.gov (United States)

Millspaw, Jacob; Wang, Gang; Masters, Mark F.

2014-07-01

College students are facing a constantly evolving educational system. Some still see mostly the traditional face to face lecture type classes where as others may never set foot on campus thanks to distance learning programs. In between they may enroll in a mix of face-to-face, two-way broadcasted interactive courses, streaming lecture courses, hybrid face-to-face/ on-line courses and the ominous MOOC! A large number of these non-traditional courses are general education courses and play an important role in developing non-science majors' understanding of science in general, and of physics in particular. We have been keeping pace with theses modern modes of instruction by offering several on-line courses such as Physics for Computer Graphics and Animation and Light and Color. These courses cover basic concepts in light, color and optics.

Transformative learning spaces

DEFF Research Database (Denmark)

Maslo, Elina

Despite rapid development of learning theory in general and language learning theory in particular in the last years, we still cannot provide an unequivocal answer on the question “why do individuals who presumably possess similar cognitive capacities for second language learning achieve such var......, Leo (2010). The ecology of language learning: Practice to theory, theory to practice. Procedia – Social and Behavioral Sciences. Elsevier......., social, personal, cultural, and historical world they live in (van Lier, 2000). People can learn when they discover possibilities for learning, which appear in this complex world – so called affordances (Gibson, 1979). This happens in the interaction between people and their environment on the basis...... to the different ways of interaction of cognitive, affective and social factors by different individuals. Learning stories, where multilingual individuals are telling about their subjective experiences in language learning in particular and learning in general, are constructed by using a special developed...

A general picture of the learning communities: characteristics, similarities and differences.

NARCIS (Netherlands)

Verkleij, K.A.M.; Francke, A.L.; Voordouw, I.; Albers, M.; Gobbens, R.J.J.

2016-01-01

Background: Because learning communities of community care nurses and nursing lectures are a new phenomenon, it is of interest to evaluate en monitor the learning communities. the Netherlands Institute for Health Services Research, NIVEL, was commissioned to monitor the realization of the learning

Deep learning in medical imaging: General overview

Energy Technology Data Exchange (ETDEWEB)

Lee, June Goo; Jun, Sang Hoon; Cho, Young Won; Lee, Hyun Na; KIm, Guk Bae; Seo, Joon Beom; Kim, Nam Kug [University of Ulsan College of Medicine, Asan Medical Center, Seoul (Korea, Republic of)

2017-08-01

The artificial neural network (ANN)–a machine learning technique inspired by the human neuronal synapse system–was introduced in the 1950s. However, the ANN was previously limited in its ability to solve actual problems, due to the vanishing gradient and overfitting problems with training of deep architecture, lack of computing power, and primarily the absence of sufficient data to train the computer system. Interest in this concept has lately resurfaced, due to the availability of big data, enhanced computing power with the current graphics processing units, and novel algorithms to train the deep neural network. Recent studies on this technology suggest its potentially to perform better than humans in some visual and auditory recognition tasks, which may portend its applications in medicine and health care, especially in medical imaging, in the foreseeable future. This review article offers perspectives on the history, development, and applications of deep learning technology, particularly regarding its applications in medical imaging.

Deep learning in medical imaging: General overview

International Nuclear Information System (INIS)

Lee, June Goo; Jun, Sang Hoon; Cho, Young Won; Lee, Hyun Na; KIm, Guk Bae; Seo, Joon Beom; Kim, Nam Kug

2017-01-01

The artificial neural network (ANN)–a machine learning technique inspired by the human neuronal synapse system–was introduced in the 1950s. However, the ANN was previously limited in its ability to solve actual problems, due to the vanishing gradient and overfitting problems with training of deep architecture, lack of computing power, and primarily the absence of sufficient data to train the computer system. Interest in this concept has lately resurfaced, due to the availability of big data, enhanced computing power with the current graphics processing units, and novel algorithms to train the deep neural network. Recent studies on this technology suggest its potentially to perform better than humans in some visual and auditory recognition tasks, which may portend its applications in medicine and health care, especially in medical imaging, in the foreseeable future. This review article offers perspectives on the history, development, and applications of deep learning technology, particularly regarding its applications in medical imaging

Deep Learning in Medical Imaging: General Overview

Science.gov (United States)

Lee, June-Goo; Jun, Sanghoon; Cho, Young-Won; Lee, Hyunna; Kim, Guk Bae

2017-01-01

The artificial neural network (ANN)–a machine learning technique inspired by the human neuronal synapse system–was introduced in the 1950s. However, the ANN was previously limited in its ability to solve actual problems, due to the vanishing gradient and overfitting problems with training of deep architecture, lack of computing power, and primarily the absence of sufficient data to train the computer system. Interest in this concept has lately resurfaced, due to the availability of big data, enhanced computing power with the current graphics processing units, and novel algorithms to train the deep neural network. Recent studies on this technology suggest its potentially to perform better than humans in some visual and auditory recognition tasks, which may portend its applications in medicine and healthcare, especially in medical imaging, in the foreseeable future. This review article offers perspectives on the history, development, and applications of deep learning technology, particularly regarding its applications in medical imaging. PMID:28670152

Deep Learning in Medical Imaging: General Overview.

Science.gov (United States)

Lee, June-Goo; Jun, Sanghoon; Cho, Young-Won; Lee, Hyunna; Kim, Guk Bae; Seo, Joon Beom; Kim, Namkug

2017-01-01

The artificial neural network (ANN)-a machine learning technique inspired by the human neuronal synapse system-was introduced in the 1950s. However, the ANN was previously limited in its ability to solve actual problems, due to the vanishing gradient and overfitting problems with training of deep architecture, lack of computing power, and primarily the absence of sufficient data to train the computer system. Interest in this concept has lately resurfaced, due to the availability of big data, enhanced computing power with the current graphics processing units, and novel algorithms to train the deep neural network. Recent studies on this technology suggest its potentially to perform better than humans in some visual and auditory recognition tasks, which may portend its applications in medicine and healthcare, especially in medical imaging, in the foreseeable future. This review article offers perspectives on the history, development, and applications of deep learning technology, particularly regarding its applications in medical imaging.

Games Learning in education for a newly accredited study course: Fundamentals of Industrial Engineering

Directory of Open Access Journals (Sweden)

Rastislav Beňo

2015-12-01

Full Text Available In the EU, the quality of education in recent years has become a priority topic. In the context of university education and meeting the requirements of industrial practice, in the countries of the EU, different activities are carried out. These activities are focused on the techniques and methods by which we can achieve excellence in the educational process, creative solutions and innovative forms. The aim is to adapt educational processes to the current digital age. Therefore, in the educational process it is necessary to apply new forms and methods of education. With application of this method we can streamline the educational process and also increase the initiative and interest of students in acquiring new knowledge, skills and abilities. The aim of the article is to present the project, which is focused on improving the educational process by using a new approach to learning - Games Learning

Chrysosplenium japonicum (Saxifragaceae, Newly Recorded from Taiwan

Directory of Open Access Journals (Sweden)

Tian-Chuan Hsu

2011-11-01

Full Text Available Chrysosplenium japonicum (Maxim. Makino (Saxifragaceae is newly recorded from northeastern Taiwan. Description, color photos and a key to the Chrysosplenium species in Taiwan are provided.

Organizational Learning Supported by Machine Learning Models Coupled with General Explanation Methods: A Case of B2B Sales Forecasting

Directory of Open Access Journals (Sweden)

Bohanec Marko

2017-08-01

Full Text Available Background and Purpose: The process of business to business (B2B sales forecasting is a complex decision-making process. There are many approaches to support this process, but mainly it is still based on the subjective judgment of a decision-maker. The problem of B2B sales forecasting can be modeled as a classification problem. However, top performing machine learning (ML models are black boxes and do not support transparent reasoning. The purpose of this research is to develop an organizational model using ML model coupled with general explanation methods. The goal is to support the decision-maker in the process of B2B sales forecasting.

Knowing, Applying, and Reasoning about Arithmetic: Roles of Domain-General and Numerical Skills in Multiple Domains of Arithmetic Learning

Science.gov (United States)

Zhang, Xiao; Räsänen, Pekka; Koponen, Tuire; Aunola, Kaisa; Lerkkanen, Marja-Kristiina; Nurmi, Jari-Erik

2017-01-01

The longitudinal relations of domain-general and numerical skills at ages 6-7 years to 3 cognitive domains of arithmetic learning, namely knowing (written computation), applying (arithmetic word problems), and reasoning (arithmetic reasoning) at age 11, were examined for a representative sample of 378 Finnish children. The results showed that…

Global Bathymetry: Machine Learning for Data Editing

Science.gov (United States)

Sandwell, D. T.; Tea, B.; Freund, Y.

2017-12-01

The accuracy of global bathymetry depends primarily on the coverage and accuracy of the sounding data and secondarily on the depth predicted from gravity. A main focus of our research is to add newly-available data to the global compilation. Most data sources have 1-12% of erroneous soundings caused by a wide array of blunders and measurement errors. Over the years we have hand-edited this data using undergraduate employees at UCSD (440 million soundings at 500 m resolution). We are developing a machine learning approach to refine the flagging of the older soundings and provide automated editing of newly-acquired soundings. The approach has three main steps: 1) Combine the sounding data with additional information that may inform the machine learning algorithm. The additional parameters include: depth predicted from gravity; distance to the nearest sounding from other cruises; seafloor age; spreading rate; sediment thickness; and vertical gravity gradient. 2) Use available edit decisions as training data sets for a boosted tree algorithm with a binary logistic objective function and L2 regularization. Initial results with poor quality single beam soundings show that the automated algorithm matches the hand-edited data 89% of the time. The results show that most of the information for detecting outliers comes from predicted depth with secondary contributions from distance to the nearest sounding and longitude. A similar analysis using very high quality multibeam data shows that the automated algorithm matches the hand-edited data 93% of the time. Again, most of the information for detecting outliers comes from predicted depth secondary contributions from distance to the nearest sounding and longitude. 3) The third step in the process is to use the machine learning parameters, derived from the training data, to edit 12 million newly acquired single beam sounding data provided by the National Geospatial-Intelligence Agency. The output of the learning algorithm will be

A deep learning method for lincRNA detection using auto-encoder algorithm.

Science.gov (United States)

Yu, Ning; Yu, Zeng; Pan, Yi

2017-12-06

RNA sequencing technique (RNA-seq) enables scientists to develop novel data-driven methods for discovering more unidentified lincRNAs. Meantime, knowledge-based technologies are experiencing a potential revolution ignited by the new deep learning methods. By scanning the newly found data set from RNA-seq, scientists have found that: (1) the expression of lincRNAs appears to be regulated, that is, the relevance exists along the DNA sequences; (2) lincRNAs contain some conversed patterns/motifs tethered together by non-conserved regions. The two evidences give the reasoning for adopting knowledge-based deep learning methods in lincRNA detection. Similar to coding region transcription, non-coding regions are split at transcriptional sites. However, regulatory RNAs rather than message RNAs are generated. That is, the transcribed RNAs participate the biological process as regulatory units instead of generating proteins. Identifying these transcriptional regions from non-coding regions is the first step towards lincRNA recognition. The auto-encoder method achieves 100% and 92.4% prediction accuracy on transcription sites over the putative data sets. The experimental results also show the excellent performance of predictive deep neural network on the lincRNA data sets compared with support vector machine and traditional neural network. In addition, it is validated through the newly discovered lincRNA data set and one unreported transcription site is found by feeding the whole annotated sequences through the deep learning machine, which indicates that deep learning method has the extensive ability for lincRNA prediction. The transcriptional sequences of lincRNAs are collected from the annotated human DNA genome data. Subsequently, a two-layer deep neural network is developed for the lincRNA detection, which adopts the auto-encoder algorithm and utilizes different encoding schemes to obtain the best performance over intergenic DNA sequence data. Driven by those newly

Increasing the capacity to learn in organizations

International Nuclear Information System (INIS)

Barker Scott, B.

2007-01-01

This presentation outlines the process of learning in organizations. The learning cycle involves acquiring, applying, reflecting and generalizing. There are three levels of learning: organizational learning, team learning and individual learning. Organizational learning is learning that is embedded into the way we do things through process, norms, systems, structures, strategy etc. It concludes by suggesting that organization must generate ideas with impact and generalize ideas with impact

The delivery of general paediatric surgery in Ireland: a survey of higher surgical trainees.

LENUS (Irish Health Repository)

Boyle, E

2012-12-01

The delivery of general paediatric surgery is changing in Ireland. Fewer paediatric surgical procedures are being performed by newly appointed consultant general surgeons, resulting in increased referrals to the specialist paediatric surgeons of uncomplicated general paediatric surgical problems. We surveyed current higher surgical trainees about their views on provision of paediatric surgical services.

Exploring undergraduate students' attitudes towards interprofessional learning, motivation-to-learn, and perceived impact of learning conflict resolution skills.

Science.gov (United States)

Vandergoot, Sonya; Sarris, Aspa; Kirby, Neil; Ward, Helena

2018-03-01

Conflict resolution skills are important for all healthcare professionals as conflict and mis-communication can have detrimental effects on decision-making, potentially impacting significantly on patient care, morbidity, and mortality. Interprofessional learning (IPL) has been found to increase collaboration and improve collegial relationships and hence may be an appropriate way to increase conflict resolution skills among healthcare graduates. This study examined transference of conflict resolution skills, motivation-to-learn, and attitudes to IPL of medical (n = 52) and nursing (n = 74) undergraduate students who undertook an IPL conflict resolution program. Results indicated that motivation-to-learn, attitudes to IPL, and transfer of conflict resolution skills were significantly related to each other, even when controlling for other variables, such as age and gender. When comparing the two groups, undergraduate nursing students were found to have statistically higher motivation-to-learn and transference of conflict resolution skills, and reported a more positive attitude to IPL than medical students. Some of these differences may be attributed to lack of clinical placements for medical students in the first half of their degree at their university, giving them less opportunity to apply the conflict resolution skills taught, as well as less contextual relevance. This may potentially affect their motivation-to-learn and attitude to IPL thus impacting on how they perceive the relevance of learning conflict resolution skills. Without the contextual relevancy of placements at the time of learning for medical students, the newly acquired conflict resolution skills are less likely to transfer to practice in an optimal fashion.

Deep learning? What deep learning? | Fourie | South African ...

African Journals Online (AJOL)

In teaching generally over the past twenty years, there has been a move towards teaching methods that encourage deep, rather than surface approaches to learning. The reason for this being that students, who adopt a deep approach to learning are considered to have learning outcomes of a better quality and desirability ...

Students' General Knowledge of the Learning Process: A Mixed Methods Study Illustrating Integrated Data Collection and Data Consolidation

Science.gov (United States)

van Velzen, Joke H.

2018-01-01

There were two purposes for this mixed methods study: to investigate (a) the realistic meaning of awareness and understanding as the underlying constructs of general knowledge of the learning process and (b) a procedure for data consolidation. The participants were 11th-grade high school and first-year university students. Integrated data…

Active Learning in a Large General Physics Classroom.

Science.gov (United States)

Trousil, Rebecca

2008-04-01

In 2004, we launched a new calculus-based, introductory physics sequence at Washington University. Designed as an alternative to our traditional lecture-based sequence, the primary objectives for this new course were to actively engage students in the learning process, to significantly strengthen students' conceptual reasoning skills, to help students develop higher level quantitative problem solving skills necessary for analyzing ``real world'' problems, and to integrate modern physics into the curriculum. This talk will describe our approach, using The Six Ideas That Shaped Physics text by Thomas Moore, to creating an active learning environment in large classes as well as share our perspective on key elements for success and challenges that we face in the large class environment.

The Reinforcement Learning Competition 2014

OpenAIRE

Dimitrakakis, Christos; Li, Guangliang; Tziortziotis, Nikoalos

2014-01-01

Reinforcement learning is one of the most general problems in artificial intelligence. It has been used to model problems in automated experiment design, control, economics, game playing, scheduling and telecommunications. The aim of the reinforcement learning competition is to encourage the development of very general learning agents for arbitrary reinforcement learning problems and to provide a test-bed for the unbiased evaluation of algorithms.

Embodied Computation: An Active-Learning Approach to Mobile Robotics Education

Science.gov (United States)

Riek, L. D.

2013-01-01

This paper describes a newly designed upper-level undergraduate and graduate course, Autonomous Mobile Robots. The course employs active, cooperative, problem-based learning and is grounded in the fundamental computational problems in mobile robotics defined by Dudek and Jenkin. Students receive a broad survey of robotics through lectures, weekly…

Generalized multiple kernel learning with data-dependent priors.

Science.gov (United States)

Mao, Qi; Tsang, Ivor W; Gao, Shenghua; Wang, Li

2015-06-01

Multiple kernel learning (MKL) and classifier ensemble are two mainstream methods for solving learning problems in which some sets of features/views are more informative than others, or the features/views within a given set are inconsistent. In this paper, we first present a novel probabilistic interpretation of MKL such that maximum entropy discrimination with a noninformative prior over multiple views is equivalent to the formulation of MKL. Instead of using the noninformative prior, we introduce a novel data-dependent prior based on an ensemble of kernel predictors, which enhances the prediction performance of MKL by leveraging the merits of the classifier ensemble. With the proposed probabilistic framework of MKL, we propose a hierarchical Bayesian model to learn the proposed data-dependent prior and classification model simultaneously. The resultant problem is convex and other information (e.g., instances with either missing views or missing labels) can be seamlessly incorporated into the data-dependent priors. Furthermore, a variety of existing MKL models can be recovered under the proposed MKL framework and can be readily extended to incorporate these priors. Extensive experiments demonstrate the benefits of our proposed framework in supervised and semisupervised settings, as well as in tasks with partial correspondence among multiple views.

Workplace Violence and Job Outcomes of Newly Licensed Nurses

OpenAIRE

Chang, Hyoung Eun; Cho, Sung-Hyun

2016-01-01

Purpose: The purpose of this study was to examine the prevalence of workplace violence toward newly licensed nurses and the relationship between workplace violence and job outcomes. Methods: An online survey was conducted of newly licensed registered nurses who had obtained their license in 2012 or 2013 in South Korea and had been working for 5–12 months after first being employed. The sample consisted of 312 nurses working in hospitals or clinics. The Copenhagen Psychosocial Questionnaire...

Teaching children generalized imitation skills: a case report.

Science.gov (United States)

Brown, Freddy Jackson; Peace, Natalie; Parsons, Rachel

2009-03-01

Generalized imitation plays an important role in the acquisition of new skills, in particular language and communication. In this case report a multiple exemplar training procedure, with an errorless learning phase, was used to teach Ben, a 13-year-old child with severe intellectual disabilities, to imitate behaviours modelled by an adult instructor. After exposure to seven multiple exemplars, Ben learned to imitate novel actions to criterion (i.e. generalized imitation). These skills were maintained at 90 percent at 6 week and 18 week follow-up. In line with earlier research, this article provides some further support for the finding that multiple exemplar training can facilitate the reliable emergence of generalized imitation skills. Topographically similar behaviours during the learning phase can be difficult to discriminate and hence can slow the learning process. Future research could explore how generalized imitation supports the development of basic communication and activity skills.

Learning and Memory

OpenAIRE

1999-01-01

Under various circumstances and in different species the outward expression of learning varies considerably, and this has led to the classification of different categories of learning. Just as there is no generally agreed on definition of learning, there is no one system of classification. Types of learning commonly recognized are: Habituation, sensitization, classical conditioning, operant conditioning, trial and error, taste aversion, latent learning, cultural learning, imprinting, insight ...

Learning of grammar-like visual sequences by adults with and without language-learning disabilities.

Science.gov (United States)

Aguilar, Jessica M; Plante, Elena

2014-08-01

Two studies examined learning of grammar-like visual sequences to determine whether a general deficit in statistical learning characterizes this population. Furthermore, we tested the hypothesis that difficulty in sustaining attention during the learning task might account for differences in statistical learning. In Study 1, adults with normal language (NL) or language-learning disability (LLD) were familiarized with the visual artificial grammar and then tested using items that conformed or deviated from the grammar. In Study 2, a 2nd sample of adults with NL and LLD were presented auditory word pairs with weak semantic associations (e.g., groom + clean) along with the visual learning task. Participants were instructed to attend to visual sequences and to ignore the auditory stimuli. Incidental encoding of these words would indicate reduced attention to the primary task. In Studies 1 and 2, both groups demonstrated learning and generalization of the artificial grammar. In Study 2, neither the NL nor the LLD group appeared to encode the words presented during the learning phase. The results argue against a general deficit in statistical learning for individuals with LLD and demonstrate that both NL and LLD learners can ignore extraneous auditory stimuli during visual learning.

Difficulty in Learning Similar-Sounding Words: A Developmental Stage or a General Property of Learning?

Science.gov (United States)

Pajak, Bozena; Creel, Sarah C.; Levy, Roger

2016-01-01

How are languages learned, and to what extent are learning mechanisms similar in infant native-language (L1) and adult second-language (L2) acquisition? In terms of vocabulary acquisition, we know from the infant literature that the ability to discriminate similar-sounding words at a particular age does not guarantee successful word-meaning…

Development of Learning to Learn Skills in Primary School

Science.gov (United States)

Vainikainen, Mari-Pauliina; Wüstenberg, Sascha; Kupiainen, Sirkku; Hotulainen, Risto; Hautamäki, Jarkko

2015-01-01

In Finland, schools' effectiveness in fostering the development of transversal skills is evaluated through large-scale learning to learn (LTL) assessments. This article presents how LTL skills--general cognitive competences and learning-related motivational beliefs--develop during primary school and how they predict pupils' CPS skills at the end…

Generalization in adaptation to stable and unstable dynamics.

Directory of Open Access Journals (Sweden)

Abdelhamid Kadiallah

Full Text Available Humans skillfully manipulate objects and tools despite the inherent instability. In order to succeed at these tasks, the sensorimotor control system must build an internal representation of both the force and mechanical impedance. As it is not practical to either learn or store motor commands for every possible future action, the sensorimotor control system generalizes a control strategy for a range of movements based on learning performed over a set of movements. Here, we introduce a computational model for this learning and generalization, which specifies how to learn feedforward muscle activity in a function of the state space. Specifically, by incorporating co-activation as a function of error into the feedback command, we are able to derive an algorithm from a gradient descent minimization of motion error and effort, subject to maintaining a stability margin. This algorithm can be used to learn to coordinate any of a variety of motor primitives such as force fields, muscle synergies, physical models or artificial neural networks. This model for human learning and generalization is able to adapt to both stable and unstable dynamics, and provides a controller for generating efficient adaptive motor behavior in robots. Simulation results exhibit predictions consistent with all experiments on learning of novel dynamics requiring adaptation of force and impedance, and enable us to re-examine some of the previous interpretations of experiments on generalization.

Design of Online Report Writing Based on Constructive and Cooperative Learning for a Course on Traditional General Physics Experiments

Science.gov (United States)

Lo, Hao-Chang

2013-01-01

The objective of this study was to develop an online report writing activity that was a constructive and cooperative learning process for a course on traditional general physics experiments. Wiki, a CMC authoring tool, was used to construct the writing platform. Fifty-eight undergraduate students (33 men and 25 women), working in randomly assigned…

What does it mean to be a General Practitioner?

DEFF Research Database (Denmark)

Olesen, Henning Salling

2012-01-01

Studying professional learning offers a particular contribution to learning research in general because professionals embody societal circumstances for learning in everyday life and work. This article refers to the medical profession. A general heuristic model is presented for organizing empirical...... studies in the experiences of everyday professional life, in which they are related to three dimensions: occupational framework, knowledge domain, and life history of the professional. Two examples of interpretation from general medical practice are presented, and the theoretical framework...

Scikit-learn: Machine Learning in Python

OpenAIRE

Pedregosa, Fabian; Varoquaux, Gaël; Gramfort, Alexandre; Michel, Vincent; Thirion, Bertrand; Grisel, Olivier; Blondel, Mathieu; Prettenhofer, Peter; Weiss, Ron; Dubourg, Vincent; Vanderplas, Jake; Passos, Alexandre; Cournapeau, David; Brucher, Matthieu; Perrot, Matthieu

2011-01-01

International audience; Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems. This package focuses on bringing machine learning to non-specialists using a general-purpose high-level language. Emphasis is put on ease of use, performance, documentation, and API consistency. It has minimal dependencies and is distributed under the simplified BSD license, encouraging its use in both academic ...

Scikit-learn: Machine Learning in Python

OpenAIRE

Pedregosa, Fabian; Varoquaux, Gaël; Gramfort, Alexandre; Michel, Vincent; Thirion, Bertrand; Grisel, Olivier; Blondel, Mathieu; Louppe, Gilles; Prettenhofer, Peter; Weiss, Ron; Dubourg, Vincent; Vanderplas, Jake; Passos, Alexandre; Cournapeau, David; Brucher, Matthieu

2012-01-01

Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems. This package focuses on bringing machine learning to non-specialists using a general-purpose high-level language. Emphasis is put on ease of use, performance, documentation, and API consistency. It has minimal dependencies and is distributed under the simplified BSD license, encouraging its use in both academic and commercial settings....

Exercise recommendations in patients with newly diagnosed fibromyalgia.

Science.gov (United States)

Wilson, Brad; Spencer, Horace; Kortebein, Patrick

2012-04-01

To evaluate exercise recommendations in patients newly diagnosed with fibromyalgia. A retrospective chart review. A public university rheumatology clinic. Patients newly diagnosed with fibromyalgia (N = 122). Frequency and type of exercise recommendations. The mean (standard deviation) age of these patients with fibromyalgia was 45 ± 12 years; 91% were women. Exercise was recommended as part of the documented treatment plan in 47% of these patients (57/122); only 3 patients had a documented contraindication for exercise. Aquatic exercise was most frequently recommended (56% [32/57]), followed by combined aquatic-aerobic exercise (26% [15/57]), and, infrequently, aerobic exercise only (5% [3/57]); only 7% of these patients (4/57) were referred for physical therapy. The primary method of communication was verbal discussion (94% [54/57]). Although there is well-documented evidence that exercise is beneficial for patients with fibromyalgia, we found that less than half of patients with newly diagnosed fibromyalgia in our study were provided recommendations to initiate an exercise program as part of their treatment plan. Further investigation of these findings are warranted, including evaluation of other university and community rheumatology practices as well as that of other physicians caring for patients with fibromyalgia. However, our findings indicate that there appears to be an opportunity to provide more specific and practical education regarding the implementation of an exercise regimen for patients with newly diagnosed fibromyalgia. Physiatrists may be particularly well suited to manage the exercise component of patients with fibromyalgia because of their specialized training in exercise prescription. Copyright © 2012 American Academy of Physical Medicine and Rehabilitation. Published by Elsevier Inc. All rights reserved.

LEARNING TECHNOLOGIES FOR STUDENTS IN THE CLOUD ORIENTED LEARNING ENVIRONMENT OF COMPREHENSIVE EDUCATIONAL INSTITUTIONS

OpenAIRE

Svitlana G. Lytvynova

2015-01-01

The paper analyzes the «flipped» learning and «Web Quest» technologies. The features of the «flipped» learning technology are generalized, as well as compared with traditional learning, clarified the benefits of the technology for teachers and students, described the features of the technology used by teacher and students, developed a teacher’s and student’s flow chart for preparation to the lesson, generalized control and motivation components for activating learning activities of students, ...

Customized Videos on a YouTube Channel: A beyond the Classroom Teaching and Learning Platform for General Chemistry Courses

Science.gov (United States)

Ranga, Jayashree S.

2017-01-01

Videos are an integral part of online courses. In this study, customized YouTube videos were explored as teaching and learning materials in place of face-to-face discussion sessions in General Chemistry courses. The videos were created using a budget-friendly and interactive app on an iPad. The customized YouTube videos were available to students…

Query construction, entropy, and generalization in neural-network models

Science.gov (United States)

Sollich, Peter

1994-05-01

We study query construction algorithms, which aim at improving the generalization ability of systems that learn from examples by choosing optimal, nonredundant training sets. We set up a general probabilistic framework for deriving such algorithms from the requirement of optimizing a suitable objective function; specifically, we consider the objective functions entropy (or information gain) and generalization error. For two learning scenarios, the high-low game and the linear perceptron, we evaluate the generalization performance obtained by applying the corresponding query construction algorithms and compare it to training on random examples. We find qualitative differences between the two scenarios due to the different structure of the underlying rules (nonlinear and ``noninvertible'' versus linear); in particular, for the linear perceptron, random examples lead to the same generalization ability as a sequence of queries in the limit of an infinite number of examples. We also investigate learning algorithms which are ill matched to the learning environment and find that, in this case, minimum entropy queries can in fact yield a lower generalization ability than random examples. Finally, we study the efficiency of single queries and its dependence on the learning history, i.e., on whether the previous training examples were generated randomly or by querying, and the difference between globally and locally optimal query construction.

Topographical memory for newly-learned maps is differentially affected by route-based versus landmark-based learning

DEFF Research Database (Denmark)

Beatty, Erin L.; Muller-Gass, Alexandra; Wojtarowicz, Dorothy

2018-01-01

on their ability to distinguish previously studied 'old' maps from completely unfamiliar 'new' maps under conditions of high and low working memory load in the functional MRI scanner. Viewing old versus new maps was associated with relatively greater activation in a distributed set of regions including bilateral...... inferior temporal gyrus - an important region for recognizing visual objects. Critically, whereas the performance of participants who had followed a route-based strategy dropped to chance level under high working memory load, participants who had followed a landmark-based strategy performed at above chance...... levels under both high and low working memory load - reflected by relatively greater activation in the left inferior parietal lobule (i.e. rostral part of the supramarginal gyrus known as area PFt). Our findings suggest that landmark-based learning may buffer against the effects of working memory load...

General Conformity Training Module 2.5: Proactive Role for Federal Agencies

Science.gov (United States)

Module 2.5 explains how taking a proactive role will allow a federal agency to more effectively participate in newly promulgated programs under the General Conformity Regulations, such as the emission reduction credits and the emission budgets programs.

Nilotinib versus imatinib for newly diagnosed chronic myeloid leukemia

DEFF Research Database (Denmark)

Saglio, Giuseppe; Kim, Dong-Wook; Issaragrisil, Surapol

2010-01-01

Nilotinib has been shown to be a more potent inhibitor of BCR-ABL than imatinib. We evaluated the efficacy and safety of nilotinib, as compared with imatinib, in patients with newly diagnosed Philadelphia chromosome-positive chronic myeloid leukemia (CML) in the chronic phase.......Nilotinib has been shown to be a more potent inhibitor of BCR-ABL than imatinib. We evaluated the efficacy and safety of nilotinib, as compared with imatinib, in patients with newly diagnosed Philadelphia chromosome-positive chronic myeloid leukemia (CML) in the chronic phase....

Assessment of Nondeclarative Learning in Severe Alzheimer Dementia The Implicit Memory Test (IMT)

NARCIS (Netherlands)

Kessels, R.P.C.; Remmerswaal, M.; Wilson, B.A.

2011-01-01

Although patients with Alzheimer dementia (AD) have impaired explicit memory, more automatic, implicit aspects of learning and memory may be relatively preserved. However, neuropsychological tests for the assessment of implicit memory are lacking. This study examines a newly developed test, the

Assessment of nondeclarative learning in severe Alzheimer dementia: the Implicit Memory Test (IMT)

NARCIS (Netherlands)

Kessels, R.P.C.; Remmerswaal, M.; Wilson, B.A.

2011-01-01

Although patients with Alzheimer dementia (AD) have impaired explicit memory, more automatic, implicit aspects of learning and memory may be relatively preserved. However, neuropsychological tests for the assessment of implicit memory are lacking. This study examines a newly developed test, the

Transformation of organic N newly added to red soil treated with different cultural practices

Institute of Scientific and Technical Information of China (English)

ZhangQin－Zheng; YeQing－Fu; 等

1998-01-01

By using 15N tracer method,transformation of organic N,which wqas newly added to red soil treated with different cultural practices,was studied under thelaboratory incubation condition.The experimental results showed that the transformation of N from newly added organic matter and soil native pool during incubation was influenced by cultural practice treatment beforeincubation.Fallow was favorable to the mineralization of newly added organic N and soil N compared with the planting wheat treatment.Planting wheat greatly increased the loss of soil N.Application of fertilizers stimulated the mineralization of newly added organic N and application of organic matter reduced the mineralization,but stimulated microbialtransformation of newly adde4d organic N.

Using Web 2.0 for Learning in the Community

Science.gov (United States)

Mason, Robin; Rennie, Frank

2007-01-01

This paper describes the use of a range of Web 2.0 technologies to support the development of community for a newly formed Land Trust on the Isle of Lewis, in NW Scotland. The application of social networking tools in text, audio and video has several purposes: informal learning about the area to increase tourism, community interaction,…

Effect of e-learning on quality of cervical-length measurements.

Science.gov (United States)

van Os, M A; van der Ven, A J; Bloemendaal, P M; Pajkrt, E; de Groot, C J M; Mol, B W J; Haak, M C

2015-09-01

To assess the effect of implementation of a newly developed e-learning module on the quality of cervical-length measurements. With the introduction of cervical-length (CL) measurement in a research setting, a CL measurement e-learning module (CLEM) was developed with the purpose to enhance the knowledge and skills of experienced ultrasonographers. CLEM was designed specifically for ultrasonographers who perform ultrasound in a general obstetrical practice but who do not regularly perform CL measurements. CLEM consists of five theoretical questions and three caliper-placement tests to learn the CL measurement technique. The quality of the CL measurements of CLEM participants was compared with images of non-participants using a CL measurement image score (CIS), defined as the sum of six items which assess the quality of the image. Each CLEM participant submitted five CL images and the images of non-CLEM participants were selected randomly from an ultrasound database. The CIS of the CLEM participants (n = 61) were significantly higher than those of non-CLEM participants (n = 23) (164.9 vs 155.6, respectively; P = 0.03). Visualization of the internal os and positioning of the calipers on the internal and external ora were found to have significantly higher CIS among the CLEM participants than among the non-CLEM participants (P = 0.001 and P < 0.001, respectively). Introducing CLEM may improve the quality of CL measurements obtained by trained and untrained sonographers. Copyright © 2014 ISUOG. Published by John Wiley & Sons Ltd.

The paca that roared: Immediate cumulative semantic interference among newly acquired words.

Science.gov (United States)

Oppenheim, Gary M

2018-08-01

With 40,000 words in the average vocabulary, how can speakers find the specific words that they want so quickly and easily? Cumulative semantic interference in language production provides a clue: when naming a large series of pictures, with a few mammals sprinkled about, naming each subsequent mammal becomes slower and more error-prone. Such interference mirrors predictions from an incremental learning algorithm applied to meaning-driven retrieval from an established vocabulary, suggesting retrieval benefits from a constant, implicit, re-optimization process (Oppenheim et al., 2010). But how quickly would a new mammal (e.g. paca) engage in this re-optimization? In this experiment, 18 participants studied 3 novel and 3 familiar exemplars from each of six semantic categories, and immediately performed a timed picture-naming task. Consistent with the learning model's predictions, naming latencies revealed immediate cumulative semantic interference in all directions: from new words to new words, from new words to old words, from old words to new words, and from old words to old words. Repeating the procedure several days later produced similar-magnitude effects, demonstrating that newly acquired words can be immediately semantically integrated, at least to the extent necessary to produce typical cumulative semantic interference. These findings extend the Dark Side model's scope to include novel word production, and are considered in terms of mechanisms for lexical selection. Copyright © 2018 Elsevier B.V. All rights reserved.

Learning and Consolidation of New Spoken Words in Autism Spectrum Disorder

Science.gov (United States)

Henderson, Lisa; Powell, Anna; Gaskell, M. Gareth; Norbury, Courtenay

2014-01-01

Autism spectrum disorder (ASD) is characterized by rich heterogeneity in vocabulary knowledge and word knowledge that is not well accounted for by current cognitive theories. This study examines whether individual differences in vocabulary knowledge in ASD might be partly explained by a difficulty with consolidating newly learned spoken words…

Machine learning: a useful radiological adjunct in determination of a newly diagnosed glioma's grade and IDH status.

Science.gov (United States)

De Looze, Céline; Beausang, Alan; Cryan, Jane; Loftus, Teresa; Buckley, Patrick G; Farrell, Michael; Looby, Seamus; Reilly, Richard; Brett, Francesca; Kearney, Hugh

2018-05-16

Machine learning methods have been introduced as a computer aided diagnostic tool, with applications to glioma characterisation on MRI. Such an algorithmic approach may provide a useful adjunct for a rapid and accurate diagnosis of a glioma. The aim of this study is to devise a machine learning algorithm that may be used by radiologists in routine practice to aid diagnosis of both: WHO grade and IDH mutation status in de novo gliomas. To evaluate the status quo, we interrogated the accuracy of neuroradiology reports in relation to WHO grade: grade II 96.49% (95% confidence intervals [CI] 0.88, 0.99); III 36.51% (95% CI 0.24, 0.50); IV 72.9% (95% CI 0.67, 0.78). We derived five MRI parameters from the same diagnostic brain scans, in under two minutes per case, and then supplied these data to a random forest algorithm. Machine learning resulted in a high level of accuracy in prediction of tumour grade: grade II/III; area under the receiver operating characteristic curve (AUC) = 98%, sensitivity = 0.82, specificity = 0.94; grade II/IV; AUC = 100%, sensitivity = 1.0, specificity = 1.0; grade III/IV; AUC = 97%, sensitivity = 0.83, specificity = 0.97. Furthermore, machine learning also facilitated the discrimination of IDH status: AUC of 88%, sensitivity = 0.81, specificity = 0.77. These data demonstrate the ability of machine learning to accurately classify diffuse gliomas by both WHO grade and IDH status from routine MRI alone-without significant image processing, which may facilitate usage as a diagnostic adjunct in clinical practice.

Consideration on Singularities in Learning Theory and the Learning Coefficient

Directory of Open Access Journals (Sweden)

Miki Aoyagi

2013-09-01

Full Text Available We consider the learning coefficients in learning theory and give two new methods for obtaining these coefficients in a homogeneous case: a method for finding a deepest singular point and a method to add variables. In application to Vandermonde matrix-type singularities, we show that these methods are effective. The learning coefficient of the generalization error in Bayesian estimation serves to measure the learning efficiency in singular learning models. Mathematically, the learning coefficient corresponds to a real log canonical threshold of singularities for the Kullback functions (relative entropy in learning theory.

Possible origin of Saturn's newly discovered outer ring

International Nuclear Information System (INIS)

Moehlmann, D.

1986-01-01

Within a planetogonic model the self-gravitationally caused formation of pre-planetary and pre-satellite rings from an earlier thin disk is reported. The theoretically derived orbital radii of these rings are compared with the orbital levels in the planetary system and the satellite systems of Jupiter, Saturn and Uranus. From this comparison it is concluded that at the radial position of Saturn's newly discovered outer ring an early pre-satellite ring of more or less evolved satellites could have existed. These satellites should have been disturbed in their evolution by the gravitation of the neighbouring massive satellite Titan. The comparison also may indicate similarities between the asteroidal belt and the newly discovered outer ring of Saturn

Oral Cancer Knowledge Assessment: Newly Graduated versus Senior Dental Clinicians

Science.gov (United States)

Salgado de Souza, Ricardo; Gallego Arias Pecorari, Vanessa; Lauria Dib, Luciano

2018-01-01

The present study assessed the level of dentists' knowledge regarding oral cancer in the city of São Paulo, Brazil. A questionnaire was used to compare the level of knowledge among newly graduated and senior clinicians. A total of 20,154 e-mails were correctly delivered to the dentists registered in the database of the Regional Dentistry Council of São Paulo, and 477 (2.36%) responses were received. This sample consisted of 84 newly graduated clinicians and 105 senior clinicians. For the statistical analysis, the chi-square test and the logistic regression analysis were performed with α = 0.05, and the results were described herein. According to their knowledge level, the results were statistically different between the groups, since 19% of the newly graduated clinicians were evaluated with knowledge grade A (excellent) in comparison to 6.7% of the senior clinicians. In spite of the results indicated that newly graduated clinicians' knowledge regarding oral cancer was 2.1 times higher, 34.5% of the professionals in this group had regular or poor knowledge on the subject, and several questions relating to clinical characteristics and risk factors indicated that there still exist some knowledge gaps, demonstrating that there is a need for further studies and information activities addressing oral cancer. PMID:29666649

The role of self-regulated learning in explaining examination performance of college students in first-semester general chemistry

Science.gov (United States)

Beckley, Scott

Many college students struggle with first-semester general chemistry. Prior studies have shown that a student's prior knowledge of chemistry, a cognitive factor, does not account for the total variance when measured by examination scores. This study explored the role of self-regulated learning (SRL) to identify the degree of success or failure of students with two outcome variables (i.e., American Chemical Society Comprehensive First-Term General Chemistry Examination (Form 2009) and hour-examination averages). The SRL construct consists of three interrelated components (i.e., cognitive, metacognitive, and motivational). SRL theory focuses on the idea of reciprocal determinism, in which the impact of one component of self-regulation affects the other two components. In the quantitative portion of this mixed methods study, eight measures of SRL were used to determine the `level' of self-regulation for each student. SRL variables were used in regression analysis and provided additional and unique variances. Cluster analysis techniques identified two distinct groups of students (i.e., adaptive and maladaptive). Generally, adaptive learners were associated with higher levels of SRL and success in the course; maladaptive learners had lower levels of SRL and struggled with the course demands. For the qualitative portion of the study, student volunteers (n = 8) were interviewed to gauge their views on the role of instruction in influencing their examination performances. The findings indicated that perceptions of teaching methods, demands of the course, course structure, feedback, and assessments were associated with the students' levels of self-regulation. Interviews revealed four SRL styles. Rote memorizers tended to fragment instruction and then memorize each fragment, while algorithmic memorizers tended to imitate the step-by-step problem-solving strategies of the instructor or the textbook. Globalizers were intrinsically motivated to learn the material but tended to

Neural Basis of Reinforcement Learning and Decision Making

Science.gov (United States)

Lee, Daeyeol; Seo, Hyojung; Jung, Min Whan

2012-01-01

Reinforcement learning is an adaptive process in which an animal utilizes its previous experience to improve the outcomes of future choices. Computational theories of reinforcement learning play a central role in the newly emerging areas of neuroeconomics and decision neuroscience. In this framework, actions are chosen according to their value functions, which describe how much future reward is expected from each action. Value functions can be adjusted not only through reward and penalty, but also by the animal’s knowledge of its current environment. Studies have revealed that a large proportion of the brain is involved in representing and updating value functions and using them to choose an action. However, how the nature of a behavioral task affects the neural mechanisms of reinforcement learning remains incompletely understood. Future studies should uncover the principles by which different computational elements of reinforcement learning are dynamically coordinated across the entire brain. PMID:22462543

Career Motivation in Newly Licensed Registered Nurses: What Makes Them Remain

Science.gov (United States)

Banks, Zarata Mann; Bailey, Jessica H.

2010-01-01

Despite vast research on newly licensed registered nurses (RNs), we don't know why some newly licensed registered nurses remain in their current jobs and others leave the nursing profession early in their career. Job satisfaction, the most significant factor emerging from the literature, plays a significant role in nurses' decisions to remain in…

Meeting and activating the newly unemployed

DEFF Research Database (Denmark)

Rotger, Gabriel Pons

-demanding activity. As intensive activation is usually accompanied by intensive search monitoring, it is important to disentangling the contribution of the costly activation programs from that of caseworker meetings. Using Danish data for the period 2010-13, the paper shows that requiring newly unemployed intensive...... activation, contrary to job search meetings, reduces employment and increases sickness benefit claims....

LEARNING TECHNOLOGIES FOR STUDENTS IN THE CLOUD ORIENTED LEARNING ENVIRONMENT OF COMPREHENSIVE EDUCATIONAL INSTITUTIONS

Directory of Open Access Journals (Sweden)

Svitlana G. Lytvynova

2015-06-01

Full Text Available The paper analyzes the «flipped» learning and «Web Quest» technologies. The features of the «flipped» learning technology are generalized, as well as compared with traditional learning, clarified the benefits of the technology for teachers and students, described the features of the technology used by teacher and students, developed a teacher’s and student’s flow chart for preparation to the lesson, generalized control and motivation components for activating learning activities of students, found out that a component of cloud oriented learning environment (COLE – Lync (Skype Pro can be used to develop video clips and support «flipped» learning technology. The author defines the concept of «Web Quest» technology, generalizes the «Web Quest» structure components. In the article the functions, features of this technology, the types of problems that can be solved with the help of this technology, as well as «Web Quest» classification are presented. It has been found out that the cloud oriented learning environment gives all the possibilities for «Web Quest» technology implementation in teaching of different subjects of all branches of science. With the help of «flipped» technology training and «Web Quest» a number of important problems of education can be solved – providing the continuous communication intensive training beyond general educational establishment and activation of learning activities of students.

Skills to ensure success in mentoring and other workplace learning approaches.

Science.gov (United States)

Nash, Sue; Scammel, Janet

This article highlights approaches to facilitating and supporting learning in the workplace, whether for students or nurses, and considers the skills needed by the people responsible for offering that support. It outlines common roles--including mentor, coach and supervisor--and explores how they fit into different contexts from preregistration education, newly qualified nurse support to ongoing staff leadership and development It also discusses how nurses can make use of different learning strategies in their everyday practice, whether they are students or have years of experience.

PowerPlay: Training an Increasingly General Problem Solver by Continually Searching for the Simplest Still Unsolvable Problem.

Science.gov (United States)

Schmidhuber, Jürgen

2013-01-01

Most of computer science focuses on automatically solving given computational problems. I focus on automatically inventing or discovering problems in a way inspired by the playful behavior of animals and humans, to train a more and more general problem solver from scratch in an unsupervised fashion. Consider the infinite set of all computable descriptions of tasks with possibly computable solutions. Given a general problem-solving architecture, at any given time, the novel algorithmic framework PowerPlay (Schmidhuber, 2011) searches the space of possible pairs of new tasks and modifications of the current problem solver, until it finds a more powerful problem solver that provably solves all previously learned tasks plus the new one, while the unmodified predecessor does not. Newly invented tasks may require to achieve a wow-effect by making previously learned skills more efficient such that they require less time and space. New skills may (partially) re-use previously learned skills. The greedy search of typical PowerPlay variants uses time-optimal program search to order candidate pairs of tasks and solver modifications by their conditional computational (time and space) complexity, given the stored experience so far. The new task and its corresponding task-solving skill are those first found and validated. This biases the search toward pairs that can be described compactly and validated quickly. The computational costs of validating new tasks need not grow with task repertoire size. Standard problem solver architectures of personal computers or neural networks tend to generalize by solving numerous tasks outside the self-invented training set; PowerPlay's ongoing search for novelty keeps breaking the generalization abilities of its present solver. This is related to Gödel's sequence of increasingly powerful formal theories based on adding formerly unprovable statements to the axioms without affecting previously provable theorems. The continually increasing

Brief learning induces a memory bias for arousing-negative words: an fMRI study in high and low trait anxious persons.

Science.gov (United States)

Eden, Annuschka S; Dehmelt, Vera; Bischoff, Matthias; Zwitserlood, Pienie; Kugel, Harald; Keuper, Kati; Zwanzger, Peter; Dobel, Christian

2015-01-01

Persons suffering from anxiety disorders display facilitated processing of arousing and negative stimuli, such as negative words. This memory bias is reflected in better recall and increased amygdala activity in response to such stimuli. However, individual learning histories were not considered in most studies, a concern that we meet here. Thirty-four female persons (half with high-, half with low trait anxiety) participated in a criterion-based associative word-learning paradigm, in which neutral pseudowords were paired with aversive or neutral pictures, which should lead to a valence change for the negatively paired pseudowords. After learning, pseudowords were tested with fMRI to investigate differential brain activation of the amygdala evoked by the newly acquired valence. Explicit and implicit memory was assessed directly after training and in three follow-ups at 4-day intervals. The behavioral results demonstrate that associative word-learning leads to an explicit (but no implicit) memory bias for negatively linked pseudowords, relative to neutral ones, which confirms earlier studies. Bilateral amygdala activation underlines the behavioral effect: Higher trait anxiety is correlated with stronger amygdala activation for negatively linked pseudowords than for neutrally linked ones. Most interestingly, this effect is also present for negatively paired pseudowords that participants could not remember well. Moreover, neutrally paired pseudowords evoked higher amygdala reactivity than completely novel ones in highly anxious persons, which can be taken as evidence for generalization. These findings demonstrate that few word-learning trials generate a memory bias for emotional stimuli, indexed both behaviorally and neurophysiologically. Importantly, the typical memory bias for emotional stimuli and the generalization to neutral ones is larger in high anxious persons.

Brief learning induces a memory bias for arousing-negative words: An fMRI study in high and low trait anxious persons

Directory of Open Access Journals (Sweden)

Annuschka Salima Eden

2015-08-01

Full Text Available Persons suffering from anxiety disorders display facilitated processing of arousing and negative stimuli, such as negative words. This memory bias is reflected in better recall and increased amygdala activity in response to such stimuli. However, individual learning histories were not considered in most studies, a concern that we meet here. Thirty-four female persons (half with high-, half with low trait anxiety participated in a criterion-based associative word-learning paradigm, in which neutral pseudowords were paired with aversive or neutral pictures, which should lead to a valence change for the negatively paired pseudowords. After learning, pseudowords were tested with fMRI to investigate differential brain activation of the amygdala evoked by the newly acquired valence. Explicit and implicit memory was assessed directly after training and in three follow-ups at four-day intervals. The behavioral results demonstrate that associative word-learning leads to an explicit (but no implicit memory bias for negatively linked pseudowords, relative to neutral ones, which confirms earlier studies. Bilateral amygdala activation underlines the behavioral effect: Higher trait anxiety is correlated with stronger amygdala activation for negatively linked pseudowords than for neutrally linked ones. Most interestingly, this effect is also present for negatively paired pseudowords that participants could not remember well. Moreover, neutrally paired pseudowords evoked higher amygdala reactivity than completely novel ones in highly anxious persons, which can be taken as evidence for generalization. These findings demonstrate that few word-learning trials generate a memory bias for emotional stimuli, indexed both behaviorally and neurophysiologically. Importantly, the typical memory bias for emotional stimuli and the generalization to neutral ones is larger in high anxious persons.

Clinical heterogeneity in newly diagnosed Parkinson's disease

NARCIS (Netherlands)

Post, Bart; Speelman, Johannes D.; de Haan, Rob J.

2008-01-01

OBJECTIVE: To determine clinical heterogeneity in newly diagnosed Parkinson's disease using cluster analysis and to describe the subgroups in terms of impairment, disability, perceived quality of life, and use of dopaminergic therapy. METHODS: We conducted a k-means cluster analysis in a prospective

On-line learning through simple perceptron learning with a margin.

Science.gov (United States)

Hara, Kazuyuki; Okada, Masato

2004-03-01

We analyze a learning method that uses a margin kappa a la Gardner for simple perceptron learning. This method corresponds to the perceptron learning when kappa = 0 and to the Hebbian learning when kappa = infinity. Nevertheless, we found that the generalization ability of the method was superior to that of the perceptron and the Hebbian methods at an early stage of learning. We analyzed the asymptotic property of the learning curve of this method through computer simulation and found that it was the same as for perceptron learning. We also investigated an adaptive margin control method.

Left in limbo – Experiences and needs among postmenopausal women newly diagnosed with osteoporosis without preceding osteoporotic fractures

DEFF Research Database (Denmark)

Jakobsen, Pernille Ravn; Hermann, Anne Pernille; Søndergaard, Jens

2018-01-01

to participate in treatment decision-making and (3) needs of being able to take care of bone health. Conclusion and implications In general the women experienced as been left ‘in limbo’, and they requested targeted and tailored information about osteoporosis. In particular, they want information about dual...... more attention on the benefits of detecting early stage osteoporosis. The study highlights the call for new approaches to postmenopausal women newly diagnosed with osteoporosis without preceding fractures....

Learning Low-Dimensional Metrics

OpenAIRE

Jain, Lalit; Mason, Blake; Nowak, Robert

2017-01-01

This paper investigates the theoretical foundations of metric learning, focused on three key questions that are not fully addressed in prior work: 1) we consider learning general low-dimensional (low-rank) metrics as well as sparse metrics; 2) we develop upper and lower (minimax)bounds on the generalization error; 3) we quantify the sample complexity of metric learning in terms of the dimension of the feature space and the dimension/rank of the underlying metric;4) we also bound the accuracy ...

Generalization of Supervised Learning for Binary Mask Estimation

DEFF Research Database (Denmark)

May, Tobias; Gerkmann, Timo

2014-01-01

This paper addresses the problem of speech segregation by es- timating the ideal binary mask (IBM) from noisy speech. Two methods will be compared, one supervised learning approach that incorporates a priori knowledge about the feature distri- bution observed during training. The second method...

[Principles of nutrition in patients with newly appointed stoma].

Science.gov (United States)

Pachocka, Lucyna Małgorzata; Urbanik, Anna

2016-01-01

The treatment of intestinal stoma is often a difficult experience for patients and results in numerous problems in the physical, psychological and social aspects. Therefore, post-operative care of the patient with the newly appointed stoma should be taken by therapeutic team consisting of doctors, nurses, physiotherapists, dieticians, psychologists and social workers. Appropriate nutritional education of patients aims to improve their quality of life and to prevent from unpleasant ailments formed after the operation. The specific type of stoma may decide about certain dietary recommendations. The presented work provides a practical dietary recommendations for patients with newly appointed stoma.

Comparing two methods of education (virtual versus traditional) on learning of Iranian dental students: a post-test only design study.

Science.gov (United States)

Moazami, Fariborz; Bahrampour, Ehsan; Azar, Mohammad Reza; Jahedi, Farzad; Moattari, Marzieh

2014-03-05

The importance of using technologies such as e-learning in different disciplines is discussed in the literature. Researchers have measured the effectiveness of e-learning in a number of fields.Considering the lack of research on the effectiveness of online learning in dental education particularly in Iran, the advantages of these learning methods and the positive university atmosphere regarding the use of online learning. This study, therefore, aims to compare the effects of two methods of teaching (virtual versus traditional) on student learning. This post-test only design study approached 40, fifth year dental students of Shiraz University of Medical Sciences. From this group, 35 students agreed to participate. These students were randomly allocated into two groups, experimental (virtual learning) and comparison (traditional learning). To ensure similarity between groups, we compared GPAs of all participants by the Mann-Whitney U test (P > 0.05). The experimental group received a virtual learning environment courseware package specifically designed for this study, whereas the control group received the same module structured in a traditional lecture form. The virtual learning environment consisted of online and offline materials. Two identical valid, reliable post-tests that consisted of 40 multiple choice questions (MCQs) and 4 essay questions were administered immediately (15 min) after the last session and two months later to assess for knowledge retention. Data were analyzed by SPSS version 20. A comparison of the mean knowledge score of both groups showed that virtual learning was more effective than traditional learning (effect size = 0.69). The newly designed virtual learning package is feasible and will result in more effective learning in comparison with lecture-based training. However further studies are needed to generalize the findings of this study.

Mind the Gaps: Controversies about Algorithms, Learning and Trendy Knowledge

Science.gov (United States)

Argenton, Gerald

2017-01-01

This article critically explores the ways by which the Web could become a more learning-oriented medium in the age of, but also in spite of, the newly bred algorithmic cultures. The social dimension of algorithms is reported in literature as being a socio-technological entanglement that has a powerful influence on users' practices and their lived…

Effects of Web-Based Interactive Modules on Engineering Students' Learning Motivations

Science.gov (United States)

Bai, Haiyan; Aman, Amjad; Xu, Yunjun; Orlovskaya, Nina; Zhou, Mingming

2016-01-01

The purpose of this study is to assess the impact of a newly developed modules, Interactive Web-Based Visualization Tools for Gluing Undergraduate Fuel Cell Systems Courses system (IGLU), on learning motivations of engineering students using two samples (n[subscript 1] = 144 and n[subscript 2] = 135) from senior engineering classes. The…

Two Newly Discovered Plants in Taiwan

OpenAIRE

Tian-Chuan Hsu; Jia-Jung Lin; Shih-Wen Chung

2009-01-01

Two herbs are newly discovered in Taiwan. Limnophila fragrans (G. Forst.) Seem. (Scrophulariaceae), native in SE Asia, is recognized from southern lowlands. Anagallis minima (L.) E. H. L. Krause (Primulaceae), native in N America and Europe, was found from northern mountainous region at low altitudes. In this study, descriptions, line drawings, color photos and a distribution map of the two species are provided.

Potential years lost and life expectancy in adults with newly diagnosed epilepsy.

Science.gov (United States)

Granbichler, Claudia A; Zimmermann, Georg; Oberaigner, Willi; Kuchukhidze, Giorgi; Ndayisaba, Jean-Pierre; Taylor, Alexandra; Luef, Gerhard; Bathke, Arne C; Trinka, Eugen

2017-11-01

Studies using relative measures, such as standardized mortality ratios, have shown that patients with epilepsy have an increased mortality. Reports on more direct and absolute measure such as life expectancy are sparse. We report potential years lost and how life expectancy has changed over 40 years in a cohort of patients with newly diagnosed epilepsy. We analyzed life expectancy in a cohort of adult patients diagnosed with definite epilepsy between 1970 and 2010. Those with brain tumor as cause of epilepsy were excluded. By retrospective probabilistic record linkage, living or death status was derived from the national death registry. We estimated life expectancy by a Weibull regression model using gender, age at diagnosis, epilepsy etiology, and year of diagnosis as covariates at time of epilepsy diagnosis, and 5, 10, 15, and 20 years after diagnosis. Results were compared to the general population, and 95% confidence intervals are given. There were 249 deaths (105 women, age at death 19.0-104.0 years) in 1,112 patients (11,978.4 person-years, 474 women, 638 men). A substantial decrease in life expectancy was observed for only a few subgroups, strongly depending on epilepsy etiology and time of diagnosis: time of life lost was highest in patients with symptomatic epilepsy diagnosed between 1970 and 1980; the impact declined with increasing time from diagnosis. Over half of the analyzed subgroups did not differ significantly from the general population. This effect was reversed in the later decades, and life expectancy was prolonged in some subgroups, reaching a maximum in those with newly diagnosed idiopathic and cryptogenic epilepsy between 2001 and 2010. Life expectancy is reduced in symptomatic epilepsies. However, in other subgroups, a prolonged life expectancy was found, which has not been reported previously. Reasons may be manifold and call for further study. © 2017 The Authors. Epilepsia published by Wiley Periodicals, Inc. on behalf of International

Definitions of Health Terms: General Health

Science.gov (United States)

... needs to stay healthy. You can start by learning these general health terms. Find more definitions on Fitness | General Health | Minerals | Nutrition | Vitamins Basal Body Temperature Basal body temperature is your temperature at rest ...

Surgeon General's Family Health History Initiative

Science.gov (United States)

... Source Code The Surgeon General's Family Health History Initiative To help focus attention on the importance of ... health campaign, called the Surgeon General's Family History Initiative, to encourage all American families to learn more ...

Pollen parameters estimates of genetic variability among newly ...

African Journals Online (AJOL)

Pollen parameters estimates of genetic variability among newly selected Nigerian roselle (Hibiscus sabdariffa L.) genotypes. ... Estimates of some pollen parameters where used to assess the genetic diversity among ... HOW TO USE AJOL.

Do Science Teachers Distinguish Between Their own Learning and the Learning of Their Students?

Science.gov (United States)

Brauer, Heike; Wilde, Matthias

2018-02-01

Learning beliefs influence learning and teaching. For this reason, teachers and teacher educators need to be aware of them. To support students' knowledge construction, teachers must develop appropriate learning and teaching beliefs. Teachers appear to have difficulties when analysing students' learning. This seems to be due to the inability to differentiate the beliefs about their students' learning from those about their own learning. Both types of beliefs seem to be intertwined. This study focuses on whether pre-service teachers' beliefs about their own learning are identical to those about their students' learning. Using a sample of pre-service teachers, we measured general beliefs about "constructivist" and "transmissive" learning and science-specific beliefs about "connectivity" and "taking pre-concepts into account". We also analysed the development of these four beliefs during teacher professionalisation by comparing beginning and advanced pre-service teachers. Our results show that although pre-service teachers make the distinction between their own learning and the learning of their students for the general tenets of constructivist and transmissive learning, there is no significant difference for science-specific beliefs. The beliefs pre-service teachers hold about their students' science learning remain closely tied to their own.

Codificação estatística das categorias fonéticas: vestígio da dinâmica da fala na fonotaxe lexical

Directory of Open Access Journals (Sweden)

Eleonora C. Albano

2012-11-01

Full Text Available This paper presents a new, intriguing finding and discusses some ofits theoretical implications: phonetic categorization, including majorclass membership, is entirely predictable from phonotactic biases inthree Brazilian Portuguese word databases. The predictors are logfrequencies of ‘VC, ‘CV and V’CV sequences consisting of the 7stressed vowels combined with the 19 onset consonants, plus the 5Southeastern pre-stressed vowels. Correct vowel categorizationarises through discriminant analysis of ‘VC and ‘CV data. Correctconsonant categorization arises through discriminant analysis of V’CVdata. Results are consistent across databases and, thus, strongly suggestthat statistical biases in the lexicon can be so stable as to code phoneticcategories. The findings and their corollaries bear on the issue of therelationship of lexical phonotactics to speech dynamics.

Chest Radiographic Findings in Newly Diagnosed Pulmonary ...

African Journals Online (AJOL)