Camera-based microswitch technology to monitor mouth, eyebrow, and eyelid responses of children with profound multiple disabilities

NARCIS (Netherlands)

Lancioni, G.E.; Bellini, D.; Oliva, D.; Singh, N.N.; O'Reilly, M.F.; Sigafoos, J.; Lang, R.B.; Didden, H.C.M.

2011-01-01

A camera-based microswitch technology was recently used to successfully monitor small eyelid and mouth responses of two adults with profound multiple disabilities (Lancioni et al., Res Dev Disab 31:1509-1514, 2010a). This technology, in contrast with the traditional optic microswitches used for

Motor activation in people with profound intellectual and multiple disabilities: research in daily practice in residential facilities

NARCIS (Netherlands)

Bossink, Leontien; van der Putten, Annette; Vlaskamp, Carla

2014-01-01

Aim: The total study aims at generating knowledge about the best way to motor activate persons with profound intellectual and multiple disabilities (PIMD) in residential facilities. The purpose of the current poster presentation is to present the results of the first step executed in this project

Bereavement and Loss: Developing a Memory Box to Support a Young Woman with Profound Learning Disabilities

Science.gov (United States)

Young, Hannah; Garrard, Brenda

2016-01-01

Supporting bereaved people with profound learning disabilities still remains an under-researched area. Moreover, the barriers of communication and disenfranchised grief mean that they often do not receive the support they require, leading to emotional and behavioural difficulties. This article describes research using a case study design, which…

Catch the wave! Time-window sequential analysis of alertness stimulation in individuals with profound intellectual and multiple disabilities

NARCIS (Netherlands)

Munde, V. S.; Vlaskamp, C.; Maes, B.; Ruijssenaars, A. J. J. M.

BackgroundWhile optimally activities are provided at those moments when the individual with profound intellectual and multiple disabilities (PIMD) is focused on the environment' or alert', detailed information about the impact that the design and timing of the activity has on alertness is lacking.

The documentation of health problems in relation to prescribed medication in people with profound intellectual and multiple disabilities

NARCIS (Netherlands)

van der Heide, D. C.; van der Putten, A. A. J.; van den Berg, P. B.; Taxis, K.; Vlaskamp, C.

Persons with profound intellectual and multiple disabilities (PIMD) suffer from a wide range of health problems and use a wide range of different drugs. This study investigated for frequently used medication whether there was a health problem documented in the medical notes for the drug prescribed.

Staff attributions of the causes of challenging behaviour in children and adults with profound intellectual and multiple disabilities

NARCIS (Netherlands)

Poppes, P.; van der Putten, A.A.J.; ten Brug, A.; Vlaskamp, C.

A study has shown that staff do not generally perceive challenging behaviour in people with profound intellectual and multiple disabilities (PIMD) as being of serious consequence. In this study we aimed to gain a better understanding of the causal explanations that direct care and support staff give

Developing a questionnaire on physical activity support of people with (profound) intellectual (and multiple) disabilities : Experiences from the Netherlands

NARCIS (Netherlands)

Bossink, Leontien; van der Putten, Annette; Vlaskamp, Carla

2017-01-01

Introduction: People with intellectual disabilities (ID) undertake extremely low levels of physical activity, which is even more true in people with profound intellectual and multiple disabilities (PIMD). Physical activity approaches, particularly for people with PIMD, are more likely to be

Quality-Enhancing Interventions for People with Profound Intellectual and Multiple Disabilities: A Review of the Empirical Research Literature

Science.gov (United States)

Maes, Bea; Lambrechts, Greet; Hostyn, Ine; Petry, Katja

2007-01-01

Background: This study provides an overview of empirical research on the effectiveness of quality-enhancing interventions for people with profound intellectual and multiple disabilities (PIMD). Method: Through computerised searches of the PsycINFO and ERIC databases, and using several search criteria specifically relating to the target group and…

End-of-life care: nurses' experiences in caring for dying patients with profound learning disabilities--a descriptive case study.

Science.gov (United States)

Li, S; Ng, J

2008-12-01

This qualitative study identifies areas of expertise and deficits in the specific knowledge and practical skills of nurses in the care of dying patients with profound learning disabilities in one NHS Primary Care Trust in the UK. In response to these findings, we have developed a simple observational checklist applicable to profound learning disability nursing to identify disease-related personality and physiological changes. The method consists of a descriptive case study of five nurses qualified in learning disabilities nursing, using semi-structured interviews. The disease trajectory was used as a framework of reference to guide the data analysis. Themes showed were 'certainty of knowing' about disease-related changes in patients' habits and behaviour and 'uncertainty and ambiguity' in the patho-physiology of advanced diseases and disease progression. This study interprets a lack of patho-physiological knowledge in both malignant and non-malignant diseases leading to delayed diagnosis and timely intervention. Timeliness of observation and intervention are emphasised.

Domains of quality of life of people with profound multiple disabilities : The perspective of parents and direct support staff

NARCIS (Netherlands)

Petry, K; Maes, B; Vlaskamp, C

Background This study considered the general validity of the basic domains of quality of life that appear in theoretical models, in relation to people with profound multiple disabilities. The authors examined how parents and direct support staff operationalized these basic domains for people with

Informal social networks of people with profound intellectual and multiple disabilities : Relationship with age, communicative abilities and current living arrangements

NARCIS (Netherlands)

Kamstra, A.; van der Putten, A.A.J.; Post, W.J.; Vlaskamp, C.

2015-01-01

BACKGROUND: People with profound intellectual and multiple disabilities (PIMD) have limited informal social contacts. Research to determine the factors which can positively influence establishing sound informal social contacts is required. MATERIALS AND METHODS: Regression analysis for 200 people

Look closer : The alertness of people with profound intellectual and multiple disabilities during multi-sensory storytelling, a time sequential analysis

NARCIS (Netherlands)

Ten Brug, Annet; Munde, Vera S.; van der Putten, Annette A. J.; Vlaskamp, Carla

2015-01-01

Introduction: Multi-sensory storytelling (MSST) is a storytelling method designed for individuals with profound intellectual and multiple disabilities (PIMD). It is essential that listeners be alert during MSST, so that they become familiar with their personalised stories. Repetition and the

Using Photovoice to Include People with Profound and Multiple Learning Disabilities in Inclusive Research

Science.gov (United States)

Cluley, Victoria

2017-01-01

Background: It is now expected that projects addressing the lives of people with learning disabilities include people with learning disabilities in the research process. In the past, such research often excluded people with learning disabilities, favouring the opinions of family members, carers and professionals. The inclusion of the voices of…

Informal Social Networks of People with Profound Intellectual and Multiple Disabilities: Relationship with Age, Communicative Abilities and Current Living Arrangements

Science.gov (United States)

Kamstra, A.; van der Putten, A. A. J.; Post, W. J.; Vlaskamp, C.

2015-01-01

Background: People with profound intellectual and multiple disabilities (PIMD) have limited informal social contacts. Research to determine the factors which can positively influence establishing sound informal social contacts is required. Materials and Methods: Regression analysis for 200 people with PIMD was used to analyse how age,…

Undernutrition in children with profound intellectual and multiple disabilities (PIMD): its prevalence and influence on quality of life.

Science.gov (United States)

Holenweg-Gross, C; Newman, C J; Faouzi, M; Poirot-Hodgkinson, I; Bérard, C; Roulet-Perez, E

2014-07-01

To estimate the prevalence of undernutrition among children with profound intellectual and multiple disabilities (PIMD) and to explore its influence on quality of life. Seventy-two children with PIMD (47 male; 25 female; age range 2 to 15 years 4 months; mean age 8.6, SD 3.6) underwent an anthropometric assessment, including body weight, triceps skinfold thickness, segmental measures and recumbent length. Undernutrition was determined using tricipital skinfold percentile and z-scores of weight-for-height and height-for-age. The quality of life of each child was evaluated using the QUALIN questionnaire adapted for profoundly disabled children. Twenty-five children (34.7%) were undernourished and seven (9.7%) were obese. Among undernourished children only eight (32 %) were receiving food supplements and two (8%) had a gastrostomy, of which one was still on a refeeding programme. On multivariate analysis, undernutrition was one of the independent predictors of lower quality of life. Undernutrition remains a matter of concern in children with PIMD. There is a need to better train professionals in systematically assessing the nutritional status of profoundly disabled children in order to start nutritional management when necessary. © 2013 John Wiley & Sons Ltd.

Look Closer: The Alertness of People with Profound Intellectual and Multiple Disabilities during Multi-Sensory Storytelling, a Time Sequential Analysis

Science.gov (United States)

Ten Brug, Annet; Munde, Vera S.; van der Putten, Annette A.J.; Vlaskamp, Carla

2015-01-01

Introduction: Multi-sensory storytelling (MSST) is a storytelling method designed for individuals with profound intellectual and multiple disabilities (PIMD). It is essential that listeners be alert during MSST, so that they become familiar with their personalised stories. Repetition and the presentation of stimuli are likely to affect the…

The Role of the External Personal Assistants for Children with Profound Intellectual and Multiple Disabilities Working in the Children's Home

Science.gov (United States)

Axelsson, Anna Karin

2015-01-01

Background: Children with profound intellectual and multiple disabilities need support to function in an optimal way. However, there is a limited knowledge about the role of external personal assistants working in the children's home. Materials and Methods: A mixed method study was performed including qualitative data from interviews with 11…

Efforts in enhancing social contacts of persons with severe of profound intellectual and multiple disabilities : Analysing individual support plans in the Netherlands

NARCIS (Netherlands)

Kamstra, Aafke; van der Putten, Annette; Vlaskamp, Carla

2017-01-01

Most people with profound intellectual and multiple disabilities (PIMD) have limited social contact and it is unclear what is done to maintain or increase these contacts. Individual support planning (ISP) can be used in the systematic enhancement of social contacts. This study analyses the content

Speech and language therapists' approaches to communication intervention with children and adults with profound and multiple learning disability.

Science.gov (United States)

Goldbart, Juliet; Chadwick, Darren; Buell, Susan

2014-11-01

People with profound intellectual and multiple disabilities (PMLD) have communication impairments as one defining characteristic. To explore speech and language therapists' (SLTs) decision making in communication interventions for people with PMLD, in terms of the intervention approaches used, the factors informing the decisions to use specific interventions and the extent to which the rationales underpinning these decisions related to the components of evidence based practice (EBP), namely empirical evidence, clinical experience and client/carer views and values. A questionnaire on communication assessment and intervention for people with PMLD was sent to SLTs in the UK to elicit information on: the communication intervention approaches they used; their rationales for their intervention choices; their use of published evidence to inform decision making. Intensive interaction and objects of reference were the communication interventions most often used with people with PMLD, with some differences between children and adults evident. Rationales provided conformed somewhat to the EBP framework though extension of the existing framework and addition of practical and organizational considerations led to a revised typology of rationale for decision making. Rationales most frequently related to the empowerment, development and behavioural preferences of the person with PMLD. Empirical research evidence was seldom mentioned by SLTs as informing intervention decision making leading to very diverse practice. There is a need for further research on the effectiveness of commonly used but under-evaluated interventions. There is also a need to alert SLTs to the evidence base supporting other approaches, particularly switch-based, cause and effect approaches. © 2014 Royal College of Speech and Language Therapists.

What is profound?

DEFF Research Database (Denmark)

Sobisch, Jan-Ulrich

2013-01-01

Discussing the question, which elements on the path are to be considered profound. While a general view is that the most subtle practises are also the most profound, 'Jig-rten-mgon-po maintains that the most fundamental one's are to be considered the most profound....

Relabelling behaviour : The effects of psycho-education on the perceived severity and causes of challenging behaviour in people with profound intellectual and multiple disabilities

NARCIS (Netherlands)

Poppes, P.; Putten, van der Annette; Post, W.; Frans, N.; ten Brug, A.; van Es, A.; Vlaskamp, C.

2016-01-01

BackgroundPrevalence rates of challenging behaviour are high in children and adults with profound intellectual and multiple disabilities (PIMD). Moreover, many of these behaviours are observed daily. Direct support staff report that most challenging behaviour identified has little impact on the

Feasibility, test-retest reliability, and interrater reliability of the Modified Ashworth Scale and Modified Tardieu Scale in persons with profound intellectual and multiple disabilities

NARCIS (Netherlands)

Waninge, A.; Rook, R.A.; Dijkhuizen, A.; Gielen, E.; van der Schans, C.P.

2011-01-01

Caregivers of persons with profound intellectual and multiple disabilities (PIMD) often describe the quality of the daily movements of these persons in terms of flexibility or stiffness. Objective outcome measures for flexibility and stiffness are muscle tone or level of spasticity. Two instruments

Health promotion for young people with profound and multiple learning disabilities.

Science.gov (United States)

Davis, Kathy; Carter, Simone; Myers, Elizabeth; Rocca, Nicola

2018-02-07

Research confirms that children and young people with severe learning disabilities do not have the same level of access to high-quality care, health education and health promotion activities as children and young people without disabilities. This article discusses a quality improvement, action research project to investigate alternative approaches to health promotion that enhance the health and well-being of children and young people with complex neurodisabilities. The project involved assessment of school records and completion by staff of an eight-question survey. It found that the proactive approach of school nurses in raising awareness and understanding through questioning was positively received, and reinforced how meaningful and relevant information could be delivered to these young people. The project also had unexpected benefits, including more integrated team working, increased knowledge, greater awareness and understanding of the importance of health promotion participation, and student satisfaction. ©2018 RCN Publishing Company Ltd. All rights reserved. Not to be copied, transmitted or recorded in any way, in whole or part, without prior permission of the publishers.

Relabelling Behaviour. The Effects of Psycho-Education on the Perceived Severity and Causes of Challenging Behaviour in People with Profound Intellectual and Multiple Disabilities

Science.gov (United States)

Poppes, P.; van der Putten, A.; Post, W.; Frans, N.; ten Brug, A.; van Es, A.; Vlaskamp, C.

2016-01-01

Background: Prevalence rates of challenging behaviour are high in children and adults with profound intellectual and multiple disabilities (PIMD). Moreover, many of these behaviours are observed daily. Direct support staff report that most challenging behaviour identified has little impact on the person with PIMD and attribute challenging…

Facilitating Multiple Intelligences Through Multimodal Learning Analytics

Directory of Open Access Journals (Sweden)

Ayesha PERVEEN

2018-01-01

Full Text Available This paper develops a theoretical framework for employing learning analytics in online education to trace multiple learning variations of online students by considering their potential of being multiple intelligences based on Howard Gardner’s 1983 theory of multiple intelligences. The study first emphasizes the need to facilitate students as multiple intelligences by online education systems and then suggests a framework of the advanced form of learning analytics i.e., multimodal learning analytics for tracing and facilitating multiple intelligences while they are engaged in online ubiquitous learning. As multimodal learning analytics is still an evolving area, it poses many challenges for technologists, educationists as well as organizational managers. Learning analytics make machines meet humans, therefore, the educationists with an expertise in learning theories can help technologists devise latest technological methods for multimodal learning analytics and organizational managers can implement them for the improvement of online education. Therefore, a careful instructional design based on a deep understanding of students’ learning abilities, is required to develop teaching plans and technological possibilities for monitoring students’ learning paths. This is how learning analytics can help design an adaptive instructional design based on a quick analysis of the data gathered. Based on that analysis, the academicians can critically reflect upon the quick or delayed implementation of the existing instructional design based on students’ cognitive abilities or even about the single or double loop learning design. The researcher concludes that the online education is multimodal in nature, has the capacity to endorse multiliteracies and, therefore, multiple intelligences can be tracked and facilitated through multimodal learning analytics in an online mode. However, online teachers’ training both in technological implementations and

Feasibility, Test-Retest Reliability, and Interrater Reliability of the Modified Ashworth Scale and Modified Tardieu Scale in Persons with Profound Intellectual and Multiple Disabilities

Science.gov (United States)

Waninge, A.; Rook, R. A.; Dijkhuizen, A.; Gielen, E.; van der Schans, C. P.

2011-01-01

Caregivers of persons with profound intellectual and multiple disabilities (PIMD) often describe the quality of the daily movements of these persons in terms of flexibility or stiffness. Objective outcome measures for flexibility and stiffness are muscle tone or level of spasticity. Two instruments used to grade muscle tone and spasticity are the…

A good read : A study into the use and effects of multi-sensory storytelling; a storytelling method for persons with profound intellectual and multiple disabilities.

NARCIS (Netherlands)

ten Brug, Annet

2015-01-01

In order to include persons with profound intellectual and multiple disabilities (PIMD) into our storytelling culture, multi-sensory storytelling (MSST) has been developed. In a multi-sensory book, verbal text is supported by sensory stimuli, the form and content of the book are adjusted to the

Learn and apply: using multi-sensory storytelling to gather knowledge about preferences and abilities of children with profound intellectual and multiple disabilities--three case studies.

Science.gov (United States)

Brug, Annet Ten; Van der Putten, Annette A J; Vlaskamp, Carla

2013-12-01

Knowledge about the preferences and abilities of children with profound intellectual and multiple disabilities (PIMDs) is crucial for providing appropriate activities. Multi-sensory storytelling (MSST) can be an ideal activity for gathering such knowledge about children with PIMDs. The aim of this study was to analyse whether using MSST did lead to changes in teachers' knowledge about preferences and abilities and whether this knowledge was then applied in practice. Three dyads of children with PIMDs and their teachers read an MSST book 20 times during a 10-week period. A questionnaire designed to identify the teachers' current knowledge was filled in before the 1st and again after the 10th and 20th reading sessions. Also, the teachers were asked for their opinion about their newly gathered knowledge. In all three cases, changes in the teachers' knowledge were observed. However, teachers are insufficiently aware of their new knowledge and do not apply it in practice.

Facilitating Multiple Intelligences through Multimodal Learning Analytics

Science.gov (United States)

Perveen, Ayesha

2018-01-01

This paper develops a theoretical framework for employing learning analytics in online education to trace multiple learning variations of online students by considering their potential of being multiple intelligences based on Howard Gardner's 1983 theory of multiple intelligences. The study first emphasizes the need to facilitate students as…

Beyond cross-domain learning: Multiple-domain nonnegative matrix factorization

KAUST Repository

Wang, Jim Jing-Yan; Gao, Xin

2014-01-01

Traditional cross-domain learning methods transfer learning from a source domain to a target domain. In this paper, we propose the multiple-domain learning problem for several equally treated domains. The multiple-domain learning problem assumes that samples from different domains have different distributions, but share the same feature and class label spaces. Each domain could be a target domain, while also be a source domain for other domains. A novel multiple-domain representation method is proposed for the multiple-domain learning problem. This method is based on nonnegative matrix factorization (NMF), and tries to learn a basis matrix and coding vectors for samples, so that the domain distribution mismatch among different domains will be reduced under an extended variation of the maximum mean discrepancy (MMD) criterion. The novel algorithm - multiple-domain NMF (MDNMF) - was evaluated on two challenging multiple-domain learning problems - multiple user spam email detection and multiple-domain glioma diagnosis. The effectiveness of the proposed algorithm is experimentally verified. © 2013 Elsevier Ltd. All rights reserved.

Beyond cross-domain learning: Multiple-domain nonnegative matrix factorization

KAUST Repository

Wang, Jim Jing-Yan

2014-02-01

Traditional cross-domain learning methods transfer learning from a source domain to a target domain. In this paper, we propose the multiple-domain learning problem for several equally treated domains. The multiple-domain learning problem assumes that samples from different domains have different distributions, but share the same feature and class label spaces. Each domain could be a target domain, while also be a source domain for other domains. A novel multiple-domain representation method is proposed for the multiple-domain learning problem. This method is based on nonnegative matrix factorization (NMF), and tries to learn a basis matrix and coding vectors for samples, so that the domain distribution mismatch among different domains will be reduced under an extended variation of the maximum mean discrepancy (MMD) criterion. The novel algorithm - multiple-domain NMF (MDNMF) - was evaluated on two challenging multiple-domain learning problems - multiple user spam email detection and multiple-domain glioma diagnosis. The effectiveness of the proposed algorithm is experimentally verified. © 2013 Elsevier Ltd. All rights reserved.

The multiple reals of workplace learning

Directory of Open Access Journals (Sweden)

Kerry Harman

2014-04-01

Full Text Available The multiple reals of workplace learning are explored in this paper. Drawing on a Foucauldian conceptualisation of power as distributed, relational and productive, networks that work to produce particular objects and subjects as seemingly natural and real are examined. This approach enables different reals of workplace learning to be traced. Data from a collaborative industry-university research project is used to illustrate the approach, with a focus on the intersecting practices of a group of professional developers and a group of workplace learning researchers. The notion of multiple reals holds promise for research on workplace learning as it moves beyond a view of reality as fixed and singular to a notion of reality as performed in and through a diversity of practices, including the practices of workplace learning researchers.

Veto-Consensus Multiple Kernel Learning

NARCIS (Netherlands)

Zhou, Y.; Hu, N.; Spanos, C.J.

2016-01-01

We propose Veto-Consensus Multiple Kernel Learning (VCMKL), a novel way of combining multiple kernels such that one class of samples is described by the logical intersection (consensus) of base kernelized decision rules, whereas the other classes by the union (veto) of their complements. The

Multiple-choice pretesting potentiates learning of related information.

Science.gov (United States)

Little, Jeri L; Bjork, Elizabeth Ligon

2016-10-01

Although the testing effect has received a substantial amount of empirical attention, such research has largely focused on the effects of tests given after study. The present research examines the effect of using tests prior to study (i.e., as pretests), focusing particularly on how pretesting influences the subsequent learning of information that is not itself pretested but that is related to the pretested information. In Experiment 1, we found that multiple-choice pretesting was better for the learning of such related information than was cued-recall pretesting or a pre-fact-study control condition. In Experiment 2, we found that the increased learning of non-pretested related information following multiple-choice testing could not be attributed to increased time allocated to that information during subsequent study. Last, in Experiment 3, we showed that the benefits of multiple-choice pretesting over cued-recall pretesting for the learning of related information persist over 48 hours, thus demonstrating the promise of multiple-choice pretesting to potentiate learning in educational contexts. A possible explanation for the observed benefits of multiple-choice pretesting for enhancing the effectiveness with which related nontested information is learned during subsequent study is discussed.

An Investigation between Multiple Intelligences and Learning Styles

Science.gov (United States)

Sener, Sabriye; Çokçaliskan, Ayten

2018-01-01

Exploring learning style and multiple intelligence type of learners can enable the students to identify their strengths and weaknesses and learn from them. It is also very important for teachers to understand their learners' learning styles and multiple intelligences since they can carefully identify their goals and design activities that can…

Multiple Kernel Learning with Data Augmentation

Science.gov (United States)

2016-11-22

JMLR: Workshop and Conference Proceedings 63:49–64, 2016 ACML 2016 Multiple Kernel Learning with Data Augmentation Khanh Nguyen nkhanh@deakin.edu.au...University, Australia Editors: Robert J. Durrant and Kee-Eung Kim Abstract The motivations of multiple kernel learning (MKL) approach are to increase... kernel expres- siveness capacity and to avoid the expensive grid search over a wide spectrum of kernels . A large amount of work has been proposed to

A Glance on Diagnosis and Ttreatment of Profound Fatigue in Multiple Sclerosis

Directory of Open Access Journals (Sweden)

Mojtaba Azimian

2007-09-01

Full Text Available Multiple Sclerosis (M.S is one of the prevalent diseases of the central nervous system which cause disability in young adults. This appears as neural signs in different parts and various times. The main defect is local deterioration or destruction of myelin tissue in the brain and spinal cord. Profound fatigue is one the most common symptoms of this disease. Because MS is prevalent in middle ages, so the presence of this symptom affects the life and activity of the patient In these ages people have high amount of activities and this functional disorder creates many difficulties for daily works in patient. For this reason, fatigue problem in patients, always, have caught the attention of researchers. Despite numerous studies, still the exact reason for producing fatigue have not been mentioned But several mechanisms have been discussed, such as: autoimmune mechanism of the disease, Involvement and disorder of endocrine system, involvement of central nervous system and de-synchronization of autonom system. Among these, autoimmune mechanism is considered as a main role in producing fatigue. Lack of proper knowledge regarding exact fatigue mechanism several problems in its treatment. Evaluation is the first step for controlling fatigue, which is done through various tests. Clear and proper evaluation can be obtained by these tests. After evaluation, non-drug and finally drug procedures are helpful. In non-drug treatment the focus is on: sport exercises, suitable diet program, identification and improvement of the patient psychotic disorders, energy conservation methods. Finally, the use of drugs such as Amantadine, Pemoline and Modafini is recommended for fatigue treatment.

Making a difference? A comparison between multi-sensory and regular storytelling for persons with profound intellectual and multiple disabilities.

Science.gov (United States)

Ten Brug, A; Van der Putten, A A J; Penne, A; Maes, B; Vlaskamp, C

2016-11-01

Multi-sensory storytelling (MSST) was developed to include persons with profound intellectual and multiple disabilities in storytelling culture. In order to increase the listeners' attention, MSST stories are individualised and use multiple sensory stimuli to support the verbal text. In order to determine the value of MSST, this study compared listeners' attention under two conditions: (1) being read MSST books and (2) being read regular stories. A non-randomised control study was executed in which the intervention group read MSST books (n = 45) and a comparison group (n = 31) read regular books. Books were read 10 times during a 5-week period. The 1st, 5th and 10th storytelling sessions were recorded on video in both groups, and the percentage of attention directed to the book and/or stimuli and to the storyteller was scored by a trained and independent rater. Two repeated measure analyses (with the storytelling condition as a between-subject factor and the three measurements as factor) were performed to determine the difference between the groups in terms of attention directed to the book/stimuli (first analysis) and storyteller (second analysis). A further analysis established whether the level of attention changed between the reading sessions and whether there was an interaction effect between the repetition of the book and the storytelling condition. The attention directed to the book and/or the stimuli was significantly higher in the MSST group than in the comparison group. No significant difference between the two groups was found in the attention directed to the storyteller. For MSST stories, most attention was observed during the fifth reading session, while for regular stories, the fifth session gained least attentiveness from the listener. The persons with profound intellectual and multiple disabilities paid more attention to the book and/or stimuli in the MSST condition compared with the regular story telling group. Being more attentive towards

Family matters: The experiences and opinions of family members of persons with (severe) or profound intellectual disabilities

OpenAIRE

Luijkx, Jorien

2016-01-01

“I love my sister, but sometimes I don’t”. This is one of the statements made in the study focused on the experiences of family members of people with (profound) intellectual (and multiple) disabilities (both of individuals living in a residential facility as persons living at home). In recent years, there has been greater recognition of the important position of parents and siblings of people with (profound) intellectual (and multiple) disabilities and the importance of the wellbeing of all ...

Multiple reversal olfactory learning in honeybees

Directory of Open Access Journals (Sweden)

Theo Mota

2010-07-01

Full Text Available In multiple reversal learning, animals trained to discriminate a reinforced from a non-reinforced stimulus are subjected to various, successive reversals of stimulus contingencies (e.g. A+ vs. B-, A- vs. B+, A+ vs. B-. This protocol is useful to determine whether or not animals learn to learn and solve successive discriminations faster (or with fewer errors with increasing reversal experience. Here we used the olfactory conditioning of proboscis extension reflex to study how honeybees Apis mellifera perform in a multiple reversal task. Our experiment contemplated four consecutive differential conditioning phases involving the same odors (A+ vs. B- to A- vs. B+ to A+ vs. B- to A- vs. B+. We show that bees in which the weight of reinforced or non-reinforced stimuli was similar mastered the multiple olfactory reversals. Bees which failed the task exhibited asymmetric responses to reinforced and non-reinforced stimuli, thus being unable to rapidly reverse stimulus contingencies. Efficient reversers did not improve their successive discriminations but rather tended to generalize their choice to both odors at the end of conditioning. As a consequence, both discrimination and reversal efficiency decreasedalong experimental phases. This result invalidates a learning-to-learn effect and indicates that bees do not only respond to the actual stimulus contingencies but rather combine these with an average of past experiences with the same stimuli.  

Cross-platform learning: on the nature of children's learning from multiple media platforms.

Science.gov (United States)

Fisch, Shalom M

2013-01-01

It is increasingly common for an educational media project to span several media platforms (e.g., TV, Web, hands-on materials), assuming that the benefits of learning from multiple media extend beyond those gained from one medium alone. Yet research typically has investigated learning from a single medium in isolation. This paper reviews several recent studies to explore cross-platform learning (i.e., learning from combined use of multiple media platforms) and how such learning compares to learning from one medium. The paper discusses unique benefits of cross-platform learning, a theoretical mechanism to explain how these benefits might arise, and questions for future research in this emerging field. Copyright © 2013 Wiley Periodicals, Inc., A Wiley Company.

Evaluating the Quality of the Interaction between Persons with Profound Intellectual and Multiple Disabilities and Direct Support Staff: A Preliminary Application of Three Observation Scales from Parent-Infant Research

Science.gov (United States)

Hostyn, Ine; Petry, Katja; Lambrechts, Greet; Maes, Bea

2011-01-01

Background: Affective and reciprocal interactions with others are essential for persons with profound intellectual and multiple disabilities (PIMD), but it is a challenge to assess their quality. This study aimed to investigate the usefulness of instruments from parent-infant research to evaluate these interactions. Method: Eighteen videotaped…

Six to Ten Digits Multiplication Fun Learning Using Puppet Prototype

Science.gov (United States)

Islamiah Rosli, D.'oria; Ali, Azita; Peng, Lim Soo; Sujardi, Imam; Usodo, Budi; Adie Perdana, Fengky

2017-01-01

Logic and technical subjects require students to understand basic knowledge in mathematic. For instance, addition, minus, division and multiplication operations need to be mastered by students due to mathematic complexity as the learning mathematic grows higher. Weak foundation in mathematic also contribute to high failure rate in mathematic subjects in schools. In fact, students in primary schools are struggling to learn mathematic because they need to memorize formulas, multiplication or division operations. To date, this study will develop a puppet prototyping for learning mathematic for six to ten digits multiplication. Ten participants involved in the process of developing the prototype in this study. Students involved in the study were those from the intermediate class students whilst teachers were selected based on their vast knowledge and experiences and have more than five years of experience in teaching mathematic. Close participatory analysis will be used in the prototyping process as to fulfil the requirements of the students and teachers whom will use the puppet in learning six to ten digit multiplication in mathematic. Findings showed that, the students had a great time and fun learning experience in learning multiplication and they able to understand the concept of multiplication using puppet. Colour and materials of the puppet also help to attract student attention during learning. Additionally, students able to visualized and able to calculate accurate multiplication value and the puppet help them to recall in multiplying and adding the digits accordingly.

Attuning: A Communication Process between People with Severe and Profound Intellectual Disability and Their Interaction Partners.

Science.gov (United States)

Griffiths, Colin; Smith, Martine

2016-03-01

People with severe and profound intellectual disability typically demonstrate a limited ability to communicate effectively. Most of their communications are non-verbal, often idiosyncratic and ambiguous. This article aims to identify the process that regulates communications of this group of people with others and to describe the methodological approach that was used to achieve this. In this qualitative study, two dyads consisting of a person with severe or profound intellectual and multiple disability and a teacher or carer were filmed as they engaged in school-based activities. Two 1-hour videotapes were transcribed and analysed using grounded theory. Attuning was identified within the theory proposed here as a central process that calibrates and regulates communication. Attuning is conceptualized as a bidirectional, dyadic communication process. Understanding this process may support more effective communication between people with severe or profound intellectual and multiple disability and their interaction partners. © 2015 John Wiley & Sons Ltd.

Multiple Intelligence and Digital Learning Awareness of Prospective B.Ed Teachers

Science.gov (United States)

Gracious, F. L. Antony; Shyla, F. L. Jasmine Anne

2012-01-01

The present study Multiple Intelligence and Digital Learning Awareness of prospective B.Ed teachers was probed to find the relationship between Multiple Intelligence and Digital Learning Awareness of Prospective B.Ed Teachers. Data for the study were collected using self made Multiple Intelligence Inventory and Digital Learning Awareness Scale.…

Strategies that facilitate participation in family activities of children and adolescents with profound intellectual and multiple disabilities: parents' and personal assistants' experiences.

Science.gov (United States)

Axelsson, Anna Karin; Imms, Christine; Wilder, Jenny

2014-01-01

Participation throughout one's life plays a significant role for development and emotional well-being. For this reason, there is a need to identify ways to facilitate participation in family activities for children and adolescents with profound intellectual and multiple disabilities (PIMD). The study design was qualitative and explorative, based on semi structured interviews with 11 parents and 9 personal assistants of children with PIMD. The interviews revealed participation-facilitating strategies relating to the children's/adolescent's proximal environment, such as "Availability and acceptability of the activity", "Good knowledge about the child" and a "A positive attitude of people close to the child", as well as strategies related to the children/adolescents themselves: "Sense of belonging", "Possible for the child/adolescent to understand", "Opportunities to influence" and "Feeling of being needed". Children and adolescents with PIMD are dependent on support obtained through their environment. The identified strategies, individually adapted through awareness and knowledge by the parents and the personal assistants, provide important evidence to assist our understanding in gaining understanding about how to improve participation in family activities of children and adolescents with PIMD. Participation-facilitating strategies related to the child/adolescent and his or her proximal environments are identified to improve participation in children and adolescents with profound intellectual and multiple disabilities (PIMD). Examples of strategies for the child's/adolescents' proximal environment include "good knowledge about the child/adolescent", and, for the child/adolescent, include creating "sense of belonging" and "opportunities to influence". Identifying and making these strategies explicit may assist in enhancing the participation of children and adolescents with PIMD in family activities. People in the child's/adolescent's proximal environment need to set

Measuring happiness in individuals with profound multiple disabilities.

Science.gov (United States)

Darling, Joseph A; Circo, Deborah K

2015-12-01

This quantitative study assessed whether presentation of preferred items and activities during multiple periods of the day (and over multiple days) increased indices of happiness (over time/sustained) in individuals with PMD. A multiple baseline design across participants was utilized to measure changes in indices of happiness of the participants. Participants were recruited from an adult day activity program specializing in providing assistance to individuals with disabilities. For Mary, baseline indices of happiness were 26.67% of intervals, increasing 6.76% during intervention to 33.43%. For Caleb, baseline indices of happiness were 20.84% of intervals, increasing 6.34% during intervention to 27.18%. For Mark, baseline indices of happiness were 40.00% of intervals, increasing 12.75% during intervention to 52.75%. Overall interobserver agreement was 82.8%, with interobserver agreement observations occurring during 63.04% of the observations. The results of the investigation demonstrated that presenting preferred items and activities increased the indices of happiness compared to baseline rates of indices of happiness. Results may have been more robust if the participants were assessed for overall responsiveness patterns prior to the initiation of measurement of indices of happiness. Copyright © 2015 Elsevier Ltd. All rights reserved.

Attentional processes in interactions between people with profound intellectual and multiple disabilities and direct support staff.

Science.gov (United States)

Hostyn, Ine; Ine, Hostyn; Neerinckx, Heleen; Heleen, Neerinckx; Maes, Bea; Bea, Maes

2011-01-01

Few studies have examined joint attention in interactions with persons with profound intellectual and multiple disabilities (PIMD), despite its important role in high-quality interaction. The purpose of this study is to describe the attention-directing behaviours of persons with PIMD and their direct support staff and the attention episodes resulting from their interactions, and to understand how these variables relate to each other. Video observations of 17 staff-client dyads were coded using partial interval recording. The results showed considerable variation across individuals and dyads. In general, persons with PIMD directed the attention of staff members infrequently. The staff members frequently directed their clients' attention towards a topic of interest but did not often use the tactile modality. Within the staff-client dyad, there was not much joint attention; however, shared attention episodes occurred frequently. Shared attention and joint attention are strongly correlated. A negative correlation was found between clients not using attention-directing behaviours and staff members using tactile methods to direct the attention, and joint attention episodes. This study presents both directions for future research and practical implications. Copyright © 2010 Elsevier Ltd. All rights reserved.

On the Relationship of Multiple Intelligences with Listening Proficiency and Attitudes among Iranian TEFL University Students

Science.gov (United States)

Naeini, Ma'ssoumeh Bemani; Pandian, Ambigapathy

2010-01-01

Gardner's (1983) Multiple Intelligences Theory (MIT) has been found to have profound implications in teaching English as a foreign language (TEFL) in that it provides a way for teachers to recognize learners' individual cognitive and affective differences by providing favorable motivational conditions for learning. However, little investigation…

Dissimilarity-based multiple instance learning

DEFF Research Database (Denmark)

Sørensen, Lauge; Loog, Marco; Tax, David M. J.

2010-01-01

In this paper, we propose to solve multiple instance learning problems using a dissimilarity representation of the objects. Once the dissimilarity space has been constructed, the problem is turned into a standard supervised learning problem that can be solved with a general purpose supervised cla...... between distributions of within- and between set point distances, thereby taking relations within and between sets into account. Experiments on five publicly available data sets show competitive performance in terms of classification accuracy compared to previously published results....

The effect of multiple intelligence-based learning towards students’ concept mastery and interest in learning matter

Science.gov (United States)

Pratiwi, W. N.; Rochintaniawati, D.; Agustin, R. R.

2018-05-01

This research was focused on investigating the effect of multiple intelligence -based learning as a learning approach towards students’ concept mastery and interest in learning matter. The one-group pre-test - post-test design was used in this research towards a sample which was according to the suitable situation of the research sample, n = 13 students of the 7th grade in a private school in Bandar Seri Begawan. The students’ concept mastery was measured using achievement test and given at the pre-test and post-test, meanwhile the students’ interest level was measured using a Likert Scale for interest. Based on the analysis of the data, the result shows that the normalized gain was .61, which was considered as a medium improvement. in other words, students’ concept mastery in matter increased after being taught using multiple intelligence-based learning. The Likert scale of interest shows that most students have a high interest in learning matter after being taught by multiple intelligence-based learning. Therefore, it is concluded that multiple intelligence – based learning helped in improving students’ concept mastery and gain students’ interest in learning matter.

A multiplicative reinforcement learning model capturing learning dynamics and interindividual variability in mice

OpenAIRE

Bathellier, Brice; Tee, Sui Poh; Hrovat, Christina; Rumpel, Simon

2013-01-01

Learning speed can strongly differ across individuals. This is seen in humans and animals. Here, we measured learning speed in mice performing a discrimination task and developed a theoretical model based on the reinforcement learning framework to account for differences between individual mice. We found that, when using a multiplicative learning rule, the starting connectivity values of the model strongly determine the shape of learning curves. This is in contrast to current learning models ...

Butyrate induces profound changes in gene expression related to multiple signal pathways in bovine kidney epithelial cells

Directory of Open Access Journals (Sweden)

Li CongJun

2006-09-01

Full Text Available Abstract Background Global gene expression profiles of bovine kidney epithelial cells regulated by sodium butyrate were investigated with high-density oligonucleotide microarrays. The bovine microarray with 86,191 distinct 60mer oligonucleotides, each with 4 replicates, was designed and produced with Maskless Array Synthesizer technology. These oligonucleotides represent approximately 45,383 unique cattle sequences. Results 450 genes significantly regulated by butyrate with a median False Discovery Rate (FDR = 0 % were identified. The majority of these genes were repressed by butyrate and associated with cell cycle control. The expression levels of 30 selected genes identified by the microarray were confirmed using real-time PCR. The results from real-time PCR positively correlated (R = 0.867 with the results from the microarray. Conclusion This study presented the genes related to multiple signal pathways such as cell cycle control and apoptosis. The profound changes in gene expression elucidate the molecular basis for the pleiotropic effects of butyrate on biological processes. These findings enable better recognition of the full range of beneficial roles butyrate may play during cattle energy metabolism, cell growth and proliferation, and possibly in fighting gastrointestinal pathogens.

The Answering Process for Multiple-Choice Questions in Collaborative Learning: A Mathematical Learning Model Analysis

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Nakamura, Yasuyuki; Nishi, Shinnosuke; Muramatsu, Yuta; Yasutake, Koichi; Yamakawa, Osamu; Tagawa, Takahiro

2014-01-01

In this paper, we introduce a mathematical model for collaborative learning and the answering process for multiple-choice questions. The collaborative learning model is inspired by the Ising spin model and the model for answering multiple-choice questions is based on their difficulty level. An intensive simulation study predicts the possibility of…

Handling multiple metadata streams regarding digital learning material

NARCIS (Netherlands)

Roes, J.B.M.; Vuuren, J. van; Verbeij, N.; Nijstad, H.

2010-01-01

This paper presents the outcome of a study performed in the Netherlands on handling multiple metadata streams regarding digital learning material. The paper describes the present metadata architecture in the Netherlands, the present suppliers and users of metadata and digital learning materials. It

Reward-related learning via multiple memory systems.

Science.gov (United States)

Delgado, Mauricio R; Dickerson, Kathryn C

2012-07-15

The application of a neuroeconomic approach to the study of reward-related processes has provided significant insights in our understanding of human learning and decision making. Much of this research has focused primarily on the contributions of the corticostriatal circuitry, involved in trial-and-error reward learning. As a result, less consideration has been allotted to the potential influence of different neural mechanisms such as the hippocampus or to more common ways in human society in which information is acquired and utilized to reach a decision, such as through explicit instruction rather than trial-and-error learning. This review examines the individual contributions of multiple learning and memory neural systems and their interactions during human decision making in both normal and neuropsychiatric populations. Specifically, the anatomical and functional connectivity across multiple memory systems are highlighted to suggest that probing the role of the hippocampus and its interactions with the corticostriatal circuitry via the application of model-based neuroeconomic approaches may provide novel insights into neuropsychiatric populations that suffer from damage to one of these structures and as a consequence have deficits in learning, memory, or decision making. Copyright © 2012 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.

Automatic plankton image classification combining multiple view features via multiple kernel learning.

Science.gov (United States)

Zheng, Haiyong; Wang, Ruchen; Yu, Zhibin; Wang, Nan; Gu, Zhaorui; Zheng, Bing

2017-12-28

Plankton, including phytoplankton and zooplankton, are the main source of food for organisms in the ocean and form the base of marine food chain. As the fundamental components of marine ecosystems, plankton is very sensitive to environment changes, and the study of plankton abundance and distribution is crucial, in order to understand environment changes and protect marine ecosystems. This study was carried out to develop an extensive applicable plankton classification system with high accuracy for the increasing number of various imaging devices. Literature shows that most plankton image classification systems were limited to only one specific imaging device and a relatively narrow taxonomic scope. The real practical system for automatic plankton classification is even non-existent and this study is partly to fill this gap. Inspired by the analysis of literature and development of technology, we focused on the requirements of practical application and proposed an automatic system for plankton image classification combining multiple view features via multiple kernel learning (MKL). For one thing, in order to describe the biomorphic characteristics of plankton more completely and comprehensively, we combined general features with robust features, especially by adding features like Inner-Distance Shape Context for morphological representation. For another, we divided all the features into different types from multiple views and feed them to multiple classifiers instead of only one by combining different kernel matrices computed from different types of features optimally via multiple kernel learning. Moreover, we also applied feature selection method to choose the optimal feature subsets from redundant features for satisfying different datasets from different imaging devices. We implemented our proposed classification system on three different datasets across more than 20 categories from phytoplankton to zooplankton. The experimental results validated that our system

Novel applications of multitask learning and multiple output regression to multiple genetic trait prediction.

Science.gov (United States)

He, Dan; Kuhn, David; Parida, Laxmi

2016-06-15

Given a set of biallelic molecular markers, such as SNPs, with genotype values encoded numerically on a collection of plant, animal or human samples, the goal of genetic trait prediction is to predict the quantitative trait values by simultaneously modeling all marker effects. Genetic trait prediction is usually represented as linear regression models. In many cases, for the same set of samples and markers, multiple traits are observed. Some of these traits might be correlated with each other. Therefore, modeling all the multiple traits together may improve the prediction accuracy. In this work, we view the multitrait prediction problem from a machine learning angle: as either a multitask learning problem or a multiple output regression problem, depending on whether different traits share the same genotype matrix or not. We then adapted multitask learning algorithms and multiple output regression algorithms to solve the multitrait prediction problem. We proposed a few strategies to improve the least square error of the prediction from these algorithms. Our experiments show that modeling multiple traits together could improve the prediction accuracy for correlated traits. The programs we used are either public or directly from the referred authors, such as MALSAR (http://www.public.asu.edu/~jye02/Software/MALSAR/) package. The Avocado data set has not been published yet and is available upon request. dhe@us.ibm.com. © The Author 2016. Published by Oxford University Press.

Per-Sample Multiple Kernel Approach for Visual Concept Learning

Directory of Open Access Journals (Sweden)

Ling-Yu Duan

2010-01-01

Full Text Available Learning visual concepts from images is an important yet challenging problem in computer vision and multimedia research areas. Multiple kernel learning (MKL methods have shown great advantages in visual concept learning. As a visual concept often exhibits great appearance variance, a canonical MKL approach may not generate satisfactory results when a uniform kernel combination is applied over the input space. In this paper, we propose a per-sample multiple kernel learning (PS-MKL approach to take into account intraclass diversity for improving discrimination. PS-MKL determines sample-wise kernel weights according to kernel functions and training samples. Kernel weights as well as kernel-based classifiers are jointly learned. For efficient learning, PS-MKL employs a sample selection strategy. Extensive experiments are carried out over three benchmarking datasets of different characteristics including Caltech101, WikipediaMM, and Pascal VOC'07. PS-MKL has achieved encouraging performance, comparable to the state of the art, which has outperformed a canonical MKL.

Per-Sample Multiple Kernel Approach for Visual Concept Learning

Directory of Open Access Journals (Sweden)

Tian Yonghong

2010-01-01

Full Text Available Abstract Learning visual concepts from images is an important yet challenging problem in computer vision and multimedia research areas. Multiple kernel learning (MKL methods have shown great advantages in visual concept learning. As a visual concept often exhibits great appearance variance, a canonical MKL approach may not generate satisfactory results when a uniform kernel combination is applied over the input space. In this paper, we propose a per-sample multiple kernel learning (PS-MKL approach to take into account intraclass diversity for improving discrimination. PS-MKL determines sample-wise kernel weights according to kernel functions and training samples. Kernel weights as well as kernel-based classifiers are jointly learned. For efficient learning, PS-MKL employs a sample selection strategy. Extensive experiments are carried out over three benchmarking datasets of different characteristics including Caltech101, WikipediaMM, and Pascal VOC'07. PS-MKL has achieved encouraging performance, comparable to the state of the art, which has outperformed a canonical MKL.

Learning of Rule Ensembles for Multiple Attribute Ranking Problems

Science.gov (United States)

Dembczyński, Krzysztof; Kotłowski, Wojciech; Słowiński, Roman; Szeląg, Marcin

In this paper, we consider the multiple attribute ranking problem from a Machine Learning perspective. We propose two approaches to statistical learning of an ensemble of decision rules from decision examples provided by the Decision Maker in terms of pairwise comparisons of some objects. The first approach consists in learning a preference function defining a binary preference relation for a pair of objects. The result of application of this function on all pairs of objects to be ranked is then exploited using the Net Flow Score procedure, giving a linear ranking of objects. The second approach consists in learning a utility function for single objects. The utility function also gives a linear ranking of objects. In both approaches, the learning is based on the boosting technique. The presented approaches to Preference Learning share good properties of the decision rule preference model and have good performance in the massive-data learning problems. As Preference Learning and Multiple Attribute Decision Aiding share many concepts and methodological issues, in the introduction, we review some aspects bridging these two fields. To illustrate the two approaches proposed in this paper, we solve with them a toy example concerning the ranking of a set of cars evaluated by multiple attributes. Then, we perform a large data experiment on real data sets. The first data set concerns credit rating. Since recent research in the field of Preference Learning is motivated by the increasing role of modeling preferences in recommender systems and information retrieval, we chose two other massive data sets from this area - one comes from movie recommender system MovieLens, and the other concerns ranking of text documents from 20 Newsgroups data set.

Implementation of Multiple Intelligences Supported Project-Based Learning in EFL/ESL Classrooms

Science.gov (United States)

Bas, Gokhan

2008-01-01

This article deals with the implementation of Multiple Intelligences supported Project-Based learning in EFL/ESL Classrooms. In this study, after Multiple Intelligences supported Project-based learning was presented shortly, the implementation of this learning method into English classrooms. Implementation process of MI supported Project-based…

Efforts to increase social contact in persons with profound intellectual and multiple disabilities: Analysing individual support plans in the Netherlands.

Science.gov (United States)

Kamstra, Aafke; van der Putten, Annette Aj; Vlaskamp, Carla

2017-06-01

Most people with profound intellectual and multiple disabilities (PIMD) have limited social contact and it is unclear what is done to maintain or increase these contacts. Individual support planning (ISP) can be used in the systematic enhancement of social contacts. This study analyses the content of ISPs with respect to the social contacts of people with PIMD. ISPs for 60 persons with PIMD in the Netherlands were inductively coded and illustrated with quotations. It turned out that every ISP contained information about social contacts. Of all the quotations extracted, 71.2% were about current conditions, 6.2% were about the future and less than 1% concerned actual goals. The social contacts of people with PIMD are mentioned in their ISPs, but this is rarely translated into goals. The results of the current study suggest that attention should be paid to ensuring that professionals understand the importance of social contacts and their application in practice.

A predictive validity study of the Learning Style Questionnaire (LSQ) using multiple, specific learning criteria

NARCIS (Netherlands)

Kappe, F.R.; Boekholt, L.; den Rooyen, C.; van der Flier, H.

2009-01-01

Multiple and specific learning criteria were used to examine the predictive validity of the Learning Style Questionnaire (LSQ). Ninety-nine students in a college of higher learning in The Netherlands participated in a naturally occurring field study. The students were categorized into one of four

Time use of parents raising children with severe or profound intellectual and multiple disabilities.

Science.gov (United States)

Luijkx, J; van der Putten, A A J; Vlaskamp, C

2017-07-01

Raising children with severe or profound intellectual and multiple disabilities (PIMD) is expected to put extreme pressure on parental time use patterns. The aim of this study was to examine the total time use of mothers and fathers raising children with PIMD and compare it with the time use of parents of typically developing children. Twenty-seven fathers and 30 mothers raising children with PIMD completed a time use diary on a mobile phone or tablet app, as did 66 fathers and 109 mothers of typically developing children. Independent t-tests and Mann-Whitney tests were performed to compare mean time use. There are no differences in the time use of parents of children with PIMD on contracted time (paid work and educational activities) and necessary time (personal care, eating and drinking and sleeping) when compared with parents of typically developing children. There are significant differences between the parents of children with PIMD and the parents of typically developing children in terms of committed time (time for domestic work and the care and supervision of their children) and free time. The mothers of children with PIMD spend significantly less time on domestic work and more time on care and supervision than mothers of typically developing children. This study shows that the parents of children with PIMD have to spend a significant amount of time on care tasks and have on average 1.5 h less free time per day than parents of typically developing children. This is a striking difference, because leisure time can substantially contribute to well-being. Therefore, it is important not only to consider a child with PIMD's support needs but also to identify what parents need to continue their children's daily care and supervision. © 2017 John Wiley & Sons Ltd.

Multiple goals, motivation and academic learning.

Science.gov (United States)

Valle, Antonio; Cabanach, Ramón G; Núnez, José C; González-Pienda, Julio; Rodríguez, Susana; Piñeiro, Isabel

2003-03-01

The type of academic goals pursued by students is one of the most important variables in motivational research in educational contexts. Although motivational theory and research have emphasised the somewhat exclusive nature of two types of goal orientation (learning goals versus performance goals), some studies (Meece, 1994; Seifert, 1995, 1996) have shown that the two kinds of goals are relatively complementary and that it is possible for students to have multiple goals simultaneously, which guarantees some flexibility to adapt more efficaciously to various contexts and learning situations. The principal aim of this study is to determine the academic goals pursued by university students and to analyse the differences in several very significant variables related to motivation and academic learning. Participants were 609 university students (74% women and 26% men) who filled in several questionnaires about the variables under study. We used cluster analysis ('quick cluster analysis' method) to establish the different groups or clusters of individuals as a function of the three types of goals (learning goals, performance goals, and social reinforcement goals). By means of MANOVA, we determined whether the groups or clusters identified were significantly different in the variables that are relevant to motivation and academic learning. Lastly, we performed ANOVA on the variables that revealed significant effects in the previous analysis. Using cluster analysis, three groups of students with different motivational orientations were identified: a group with predominance of performance goals (Group PG: n = 230), a group with predominance of multiple goals (Group MG: n = 238), and a group with predominance of learning goals (Group LG: n = 141). Groups MG and LG attributed their success more to ability, they had higher perceived ability, they took task characteristics into account when planning which strategies to use in the learning process, they showed higher persistence

Learning Multiplication Using Indonesian Traditional game in Third Grade

Directory of Open Access Journals (Sweden)

Rully Charitas Indra Prahmana

2012-07-01

Full Text Available Several previous researches showed that students had difficulty inunderstanding the basic concept of multiplication. Students are morelikely to be introduced by using formula without involving the conceptitself. This underlies the researcher to design a learning trajectory oflearning multiplication using Permainan Tradisional Tepuk Bergambar(PT2B as a context based on the student experience. The purpose ofthis research is to look at the role of PT2B in helping students'understanding in learning multiplication, which evolved from theinformal to formal level in third grade with Pendidikan MatematikaRealistik Indonesia (PMRI approach. The method used is designresearch starting from preliminary design, teaching experiments, andretrospective analysis. This research describes how PT2B make a realcontribution to the third grade students of SDN 179 Palembang tounderstand the concept of multiplication. The results showed PT2Bcontext can stimulate students to understand their knowledge of themultiplication concept. The whole strategy and model that studentsdiscover, describe, and discuss shows how the students construction orcontribution can uses to help their initial understanding of that concept.The stages in the learning trajectory of student have an important rolein understanding the concept of the operation number from informal tothe formal level.Keyword: Design Research, PMRI, Multiplication, Permainan TradisionalTepuk Bergambar DOI: http://dx.doi.org/10.22342/jme.3.2.1931.115-132

Cross-Platform Learning: On the Nature of Children's Learning from Multiple Media Platforms

Science.gov (United States)

Fisch, Shalom M.

2013-01-01

It is increasingly common for an educational media project to span several media platforms (e.g., TV, Web, hands-on materials), assuming that the benefits of learning from multiple media extend beyond those gained from one medium alone. Yet research typically has investigated learning from a single medium in isolation. This paper reviews several…

Learning During Stressful Times

Science.gov (United States)

Shors, Tracey J.

2012-01-01

Stressful life events can have profound effects on our cognitive and motor abilities, from those that could be construed as adaptive to those not so. In this review, I discuss the general notion that acute stressful experience necessarily impairs our abilities to learn and remember. The effects of stress on operant conditioning, that is, learned helplessness, as well as those on classical conditioning procedures are discussed in the context of performance and adaptation. Studies indicating sex differences in learning during stressful times are discussed, as are those attributing different responses to the existence of multiple memory systems and nonlinear relationships. The intent of this review is to highlight the apparent plasticity of the stress response, how it might have evolved to affect both performance and learning processes, and the potential problems with interpreting stress effects on learning as either good or bad. An appreciation for its plasticity may provide new avenues for investigating its underlying neuronal mechanisms. PMID:15054128

Training Lp norm multiple kernel learning in the primal.

Science.gov (United States)

Liang, Zhizheng; Xia, Shixiong; Zhou, Yong; Zhang, Lei

2013-10-01

Some multiple kernel learning (MKL) models are usually solved by utilizing the alternating optimization method where one alternately solves SVMs in the dual and updates kernel weights. Since the dual and primal optimization can achieve the same aim, it is valuable in exploring how to perform Lp norm MKL in the primal. In this paper, we propose an Lp norm multiple kernel learning algorithm in the primal where we resort to the alternating optimization method: one cycle for solving SVMs in the primal by using the preconditioned conjugate gradient method and other cycle for learning the kernel weights. It is interesting to note that the kernel weights in our method can obtain analytical solutions. Most importantly, the proposed method is well suited for the manifold regularization framework in the primal since solving LapSVMs in the primal is much more effective than solving LapSVMs in the dual. In addition, we also carry out theoretical analysis for multiple kernel learning in the primal in terms of the empirical Rademacher complexity. It is found that optimizing the empirical Rademacher complexity may obtain a type of kernel weights. The experiments on some datasets are carried out to demonstrate the feasibility and effectiveness of the proposed method. Copyright © 2013 Elsevier Ltd. All rights reserved.

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.

Development of Multiple Thinking and Creativity in Organizational Learning

Science.gov (United States)

Cheng, Yin Cheong

2005-01-01

Purpose: Based on a typology of contextualized multiple thinking, this paper aims to elaborate how the levels of thinking (data, information, knowledge, and intelligence), and the types of thinking as a whole, can be used to profile the characteristics of multiple thinking in organizational learning, re-conceptualize the nature of creativity in…

Feedback-related brain activity predicts learning from feedback in multiple-choice testing.

Science.gov (United States)

Ernst, Benjamin; Steinhauser, Marco

2012-06-01

Different event-related potentials (ERPs) have been shown to correlate with learning from feedback in decision-making tasks and with learning in explicit memory tasks. In the present study, we investigated which ERPs predict learning from corrective feedback in a multiple-choice test, which combines elements from both paradigms. Participants worked through sets of multiple-choice items of a Swahili-German vocabulary task. Whereas the initial presentation of an item required the participants to guess the answer, corrective feedback could be used to learn the correct response. Initial analyses revealed that corrective feedback elicited components related to reinforcement learning (FRN), as well as to explicit memory processing (P300) and attention (early frontal positivity). However, only the P300 and early frontal positivity were positively correlated with successful learning from corrective feedback, whereas the FRN was even larger when learning failed. These results suggest that learning from corrective feedback crucially relies on explicit memory processing and attentional orienting to corrective feedback, rather than on reinforcement learning.

Multiple systems for motor skill learning.

Science.gov (United States)

Clark, Dav; Ivry, Richard B

2010-07-01

Motor learning is a ubiquitous feature of human competence. This review focuses on two particular classes of model tasks for studying skill acquisition. The serial reaction time (SRT) task is used to probe how people learn sequences of actions, while adaptation in the context of visuomotor or force field perturbations serves to illustrate how preexisting movements are recalibrated in novel environments. These tasks highlight important issues regarding the representational changes that occur during the course of motor learning. One important theme is that distinct mechanisms vary in their information processing costs during learning and performance. Fast learning processes may require few trials to produce large changes in performance but impose demands on cognitive resources. Slower processes are limited in their ability to integrate complex information but minimally demanding in terms of attention or processing resources. The representations derived from fast systems may be accessible to conscious processing and provide a relatively greater measure of flexibility, while the representations derived from slower systems are more inflexible and automatic in their behavior. In exploring these issues, we focus on how multiple neural systems may interact and compete during the acquisition and consolidation of new behaviors. Copyright © 2010 John Wiley & Sons, Ltd. This article is categorized under: Psychology > Motor Skill and Performance. Copyright © 2010 John Wiley & Sons, Ltd.

Family matters : The experiences and opinions of family members of persons with (severe) or profound intellectual disabilities

NARCIS (Netherlands)

Luijkx, Jorien

2016-01-01

“I love my sister, but sometimes I don’t”. This is one of the statements made in the study focused on the experiences of family members of people with (profound) intellectual (and multiple) disabilities (both of individuals living in a residential facility as persons living at home). In recent

Optimizing Multiple-Choice Tests as Learning Events

Science.gov (United States)

Little, Jeri Lynn

2011-01-01

Although generally used for assessment, tests can also serve as tools for learning--but different test formats may not be equally beneficial. Specifically, research has shown multiple-choice tests to be less effective than cued-recall tests in improving the later retention of the tested information (e.g., see meta-analysis by Hamaker, 1986),…

Using mini-games for learning multiplication and division: A longitudinal effect study

NARCIS (Netherlands)

Bakker, M.

2014-01-01

This thesis reports the findings of a three-year longitudinal research project set up to investigate the effectiveness of employing online mini-games for the learning of multiplication and division, including multiplicative fact knowledge (declarative knowledge), multiplicative operation skills

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.

Reduced multiple empirical kernel learning machine.

Science.gov (United States)

Wang, Zhe; Lu, MingZhe; Gao, Daqi

2015-02-01

Multiple kernel learning (MKL) is demonstrated to be flexible and effective in depicting heterogeneous data sources since MKL can introduce multiple kernels rather than a single fixed kernel into applications. However, MKL would get a high time and space complexity in contrast to single kernel learning, which is not expected in real-world applications. Meanwhile, it is known that the kernel mapping ways of MKL generally have two forms including implicit kernel mapping and empirical kernel mapping (EKM), where the latter is less attracted. In this paper, we focus on the MKL with the EKM, and propose a reduced multiple empirical kernel learning machine named RMEKLM for short. To the best of our knowledge, it is the first to reduce both time and space complexity of the MKL with EKM. Different from the existing MKL, the proposed RMEKLM adopts the Gauss Elimination technique to extract a set of feature vectors, which is validated that doing so does not lose much information of the original feature space. Then RMEKLM adopts the extracted feature vectors to span a reduced orthonormal subspace of the feature space, which is visualized in terms of the geometry structure. It can be demonstrated that the spanned subspace is isomorphic to the original feature space, which means that the dot product of two vectors in the original feature space is equal to that of the two corresponding vectors in the generated orthonormal subspace. More importantly, the proposed RMEKLM brings a simpler computation and meanwhile needs a less storage space, especially in the processing of testing. Finally, the experimental results show that RMEKLM owns a much efficient and effective performance in terms of both complexity and classification. The contributions of this paper can be given as follows: (1) by mapping the input space into an orthonormal subspace, the geometry of the generated subspace is visualized; (2) this paper first reduces both the time and space complexity of the EKM-based MKL; (3

What parents find important in the support of a child with profound intellectual and multiple disabilities.

Science.gov (United States)

Jansen, S L G; van der Putten, A A J; Vlaskamp, C

2013-05-01

The importance of a partnership between parents and professionals in the support of children with disabilities is widely acknowledged and is one of the key elements of 'family-centred care'. To what extent family-centred principles are also applied to the support of persons with profound intellectual and multiple disabilities (PIMD) is not yet known. The purpose of this exploratory study was to examine what parents with a child with PIMD find important in the support of their child. In addition, we examined which child or parent characteristics influence these parental opinions. In total, 100 parents completed an adapted version of the Measure of Processes of Care. Mean unweighted and weighted scale scores were computed. Non-parametric tests were used to examine differences in ratings due to child (gender, age, type and number of additional disabilities, type of services used and duration of service use) and parent characteristics (gender, involvement with support and educational level). Parents rated situations related to 'Respectful and Supportive Care' and 'Enabling and Partnership' with averages of 7.07 and 6.87 respectively on a scale from 1 to 10. They were generally satisfied with the services provided, expressed in a mean score of 6.88 overall. The age of the child significantly affected the scores for 'Providing Specific Information about the Child'. Parents of children in the '6-12 years' age group gave significantly higher scores on this scale than did parents of children in the '≥17 years' age group (U = 288, r = -0.34). This study shows that parents with children with PIMD find family-centred principles in the professional support of their children important. Although the majority of parents are satisfied with the support provided for their children, a substantial minority of the parents indicated that they did not receive the support they find important. © 2012 Blackwell Publishing Ltd.

Achieving profound anesthesia using the intraosseous technique.

Science.gov (United States)

Coury, K A

1997-10-01

The intraosseous technique has been described as a useful adjunct to primary anesthetic administration. It has several advantages (Table 3) over other supplemental techniques in that it is relatively simple to implement into routine practice, it affords fast, predictable results, and it is relatively painless. The technique has been shown to be very successful in achieving profound pulpal anesthesia when administered as a supplement to the inferior alveolar nerve block and is effective in achieving profound anesthesia in irreversibly inflamed teeth, especially mandibular molars.

Unconscious and Unnoticed Professional Practice within an Outstanding School for Children and Young People with Complex Learning Difficulties and Disabilities

Science.gov (United States)

Crombie, Richard; Sullivan, Lesley; Walker, Kate; Warnock, Rebecca

2014-01-01

This article describes a three-year project undertaken at Pear Tree School for children and young people with severe and multiple and profound learning difficulties. Lesley Sullivan, the school's head teacher, believed that much of the value within the work of this outstanding school went unidentified by existing approaches to planning, monitoring…

Profound Endothelial Damage Predicts Impending Organ Failure and Death in Sepsis

DEFF Research Database (Denmark)

Johansen, Maria E; Johansson, Pär I.; Ostrowski, Sisse R

2015-01-01

levels at enrollment predicted risk of multiple organ failure during follow-up (HR [> 14 ng/mL vs. organ failure and death in septic......Endothelial damage contributes to organ failure and mortality in sepsis, but the extent of the contribution remains poorly quantified. Here, we examine the association between biomarkers of superficial and profound endothelial damage (syndecan-1 and soluble thrombomodulin [sTM], respectively......), organ failure, and death in sepsis. The data from a clinical trial, including critically ill patients predominantly suffering sepsis (Clinicaltrials.gov: NCT00271752) were studied. Syndecan-1 and sTM levels at the time of study enrollment were determined. The predictive ability of biomarker levels...

How musical engagement promotes well-being in education contexts: The case of a young man with profound and multiple disabilities

Science.gov (United States)

McFerran, Katrina S.; Shoemark, Helen

2013-01-01

Students with profound intellectual disabilities disorders (IDDs) have the right to participate in educational opportunities that recognize their unique resources and needs, as do all children. Because of their specific communication challenges, positive relationships with attentive communication partners are critical for success. In fact, the power of positive relationships in schools is recognized to be connected to student well-being more broadly. This article examines the case of one young man with profound IDD and his relationship with his music therapist using a duo-ethnographic informed paradigmatic case study. Video analysis based on multi-voice perspectives is used to generate hermeneutic phenomenological findings to closely examine the relationship between a young man with profound IDD and a music therapist. The voices of four allied health researchers were also gathered to inform the authors’ construction of an informed commentary on the phenomenon. The results suggest that the essence lay in a combination of attentive, responsive and creative being with the other person over time. Four principles of musical engagement were identified in the video footage as critical to the meaningful relationships through music: the music therapist listens; the music therapist takes responsibility for structure; spontaneous initiation is sought from the young person; and the relationship is built over time. These concepts are contextualized within a discussion of student well-being that is underpinned by positive relationships and leads to students achieving their full potential within diverse school contexts. PMID:23930986

How musical engagement promotes well-being in education contexts: the case of a young man with profound and multiple disabilities.

Science.gov (United States)

McFerran, Katrina S; Shoemark, Helen

2013-08-07

Students with profound intellectual disabilities disorders (IDDs) have the right to participate in educational opportunities that recognize their unique resources and needs, as do all children. Because of their specific communication challenges, positive relationships with attentive communication partners are critical for success. In fact, the power of positive relationships in schools is recognized to be connected to student well-being more broadly. This article examines the case of one young man with profound IDD and his relationship with his music therapist using a duo-ethnographic informed paradigmatic case study. Video analysis based on multi-voice perspectives is used to generate hermeneutic phenomenological findings to closely examine the relationship between a young man with profound IDD and a music therapist. The voices of four allied health researchers were also gathered to inform the authors' construction of an informed commentary on the phenomenon. The results suggest that the essence lay in a combination of attentive, responsive and creative being with the other person over time. Four principles of musical engagement were identified in the video footage as critical to the meaningful relationships through music: the music therapist listens; the music therapist takes responsibility for structure; spontaneous initiation is sought from the young person; and the relationship is built over time. These concepts are contextualized within a discussion of student well-being that is underpinned by positive relationships and leads to students achieving their full potential within diverse school contexts.

Developmental dysgraphia with profound hearing impairment: intervention by auditory methods enabled by cochlear implant.

Science.gov (United States)

Fukushima, Kunihiro; Kawasaki, Akihiro; Nagayasu, Rie; Kunisue, Kazuya; Maeda, Yukihide; Kariya, Shin; Kataoka, Yuko; Nishizaki, Kazunori

2008-06-01

Learning disability combined with hearing impairment (LDHI) is a poor prognostic factor for the language development of hearing impaired children after educational intervention. A typical example of a child with LDHI and effective interventions provided by cochlear implants are presented in this report. A case of congenital cytomegaloviral infection that showed dysgraphia as well as profound deafness was reported and an underlying visual processing problem diagnosed in the present case caused the patient's dysgraphia. The dysgraphia could be circumvented by the use of auditory memory fairly established by a cochlear implant.

Practical Usage of Multiple-Choice Questions as Part of Learning and Self-Evaluation

Directory of Open Access Journals (Sweden)

Paula Kangasniemi

2016-12-01

Full Text Available The poster describes how the multiple-choice questions could be a part of learning, not only assessing. We often think of the role of questions only in order to test the student's skills. We have tested how questions could be a part of learning in our web-based course of information retrieval in Lapland University. In web-based learning there is a need for high-quality mediators. Mediators are learning promoters which trigger, support, and amplify learning. Mediators can be human mediators or tool mediators. The tool mediators are for example; tests, tutorials, guides and diaries. The multiple-choice questions can also be learning promoters which select, interpret and amplify objects for learning. What do you have to take into account when you are preparing multiple-choice questions as mediators? First you have to prioritize teaching objectives: what must be known and what should be known. According to our experience with contact learning, you can assess what the things are that students have problems with and need more guidance on. The most important addition to the questions is feedback during practice. The questions’ answers (wrong or right are not important. The feedback on the answers are important to guide students on how to search. The questions promote students’ self-regulation and self-evaluation. Feedback can be verbal, a screenshot or a video. We have added a verbal feedback for every question and also some screenshots and eight videos in our web-based course.

Multiple-instance learning as a classifier combining problem

DEFF Research Database (Denmark)

Li, Yan; Tax, David M. J.; Duin, Robert P. W.

2013-01-01

In multiple-instance learning (MIL), an object is represented as a bag consisting of a set of feature vectors called instances. In the training set, the labels of bags are given, while the uncertainty comes from the unknown labels of instances in the bags. In this paper, we study MIL with the ass...

Signal processing for the profoundly deaf.

Science.gov (United States)

Boothyroyd, A

1990-01-01

Profound deafness, defined here as a hearing loss in excess of 90 dB, is characterized by high thresholds, reduced hearing range in the intensity and frequency domains, and poor resolution in the frequency and time domains. The high thresholds call for hearing aids with unusually high gains or remote microphones that can be placed close to the signal source. The former option creates acoustic feedback problems for which digital signal processing may yet offer solutions. The latter option calls for carrier wave technology that is already available. The reduced frequency and intensity ranges would appear to call for frequency and/or amplitude compression. It might also be argued, however, that any attempts to compress the acoustic signal into the limited hearing range of the profoundly deaf will be counterproductive because of poor frequency and time resolution, especially when the signal is present in noise. In experiments with a 2-channel compression system, only 1 of 9 subjects showed an improvement of perception with the introduction of fast-release (20 ms) compression. The other 8 experienced no benefit or a slight deterioration of performance. These results support the concept of providing the profoundly deaf with simpler, rather than more complex, patterns, perhaps through the use of feature extraction hearing aids. Data from users of cochlear implants already employing feature extraction techniques also support this concept.

Connecting Multiple Intelligences through Open and Distance Learning: Going towards a Collective Intelligence?

Science.gov (United States)

Medeiros Vieira, Leandro Mauricio; Ferasso, Marcos; Schröeder, Christine da Silva

2014-01-01

This theoretical essay is a learning approach reflexion on Howard Gardner's Theory of Multiple Intelligences and the possibilities provided by the education model known as open and distance learning. Open and distance learning can revolutionize traditional pedagogical practice, meeting the needs of those who have different forms of cognitive…

An Intrinsic Value System for Developing Multiple Invariant Representations with Incremental Slowness Learning

Directory of Open Access Journals (Sweden)

Matthew David Luciw

2013-05-01

Full Text Available Curiosity Driven Modular Incremental Slow Feature Analysis (CD-MISFA;~cite{cdmisfa} is a recently introduced model of intrinsically-motivated invariance learning, which shows how curiosity enables the orderly formation of multiple stable sensory representations, through which the agent can simplify its complex sensory input. Here, we first discuss the computational properties of the CD-MISFA model itself, followed by a discussion of neurophysiological analogs fulfilling similar functional roles. CD-MISFA combines 1. unsupervised representation learning through the slowness principle, 2. generation of an intrinsic reward signal through the learning progress of the developing features, and 3. balancing of exploration and exploitation in order to maximize learning progress and quickly learn multiple feature sets for perceptual simplification. Experimental results on synthetic observations and on the iCub robot show that the intrinsic value system is an essential component to representation learning, further, the model explores such that the representations are typically learned in order from least to most costly, as predicted by the theory of Artificial Curiosity.

Exploring the motor development of young children with possible severe to profound cognitive and motor developmental delay by means of a questionnaire

NARCIS (Netherlands)

Schalen, Gertruud Henrike; van der Putten, Annette; Maes, Bea; Vlaskamp, Carla

Aim: Early motor stimulation may be valuable for children with profound intellectual and multiple disabilities (PIMD), however limited knowledge of their typical motor developmental trajectory may be currently restraining the efficacy and specificity of this intervention. Research on young children

On Combining Multiple-Instance Learning and Active Learning for Computer-Aided Detection of Tuberculosis

NARCIS (Netherlands)

Melendez Rodriguez, J.C.; Ginneken, B. van; Maduskar, P.; Philipsen, R.H.H.M.; Ayles, H.; Sanchez, C.I.

2016-01-01

The major advantage of multiple-instance learning (MIL) applied to a computer-aided detection (CAD) system is that it allows optimizing the latter with case-level labels instead of accurate lesion outlines as traditionally required for a supervised approach. As shown in previous work, a MIL-based

Cancer prevention knowledge of people with profound hearing loss.

Science.gov (United States)

Zazove, Philip; Meador, Helen E; Reed, Barbara D; Sen, Ananda; Gorenflo, Daniel W

2009-03-01

Deaf persons, a documented minority population, have low reading levels and difficulty communicating with physicians. The effect of these on their knowledge of cancer prevention recommendations is unknown. A cross-sectional study of 222 d/Deaf persons in Michigan, age 18 and older, chose one of four ways (voice, video of a certified American Sign Language interpreter, captions, or printed English) to complete a self-administered computer video questionnaire about demographics, hearing loss, language history, health-care utilization, and health-care information sources, as well as family and social variables. Twelve questions tested their knowledge of cancer prevention recommendations. The outcome measures were the percentage of correct answers to the questions and the association of multiple variables with these responses. Participants averaged 22.9% correct answers with no gender difference. Univariate analysis revealed that smoking history, types of medical problems, last physician visit, and women having previous cancer preventive tests did not affect scores. Improved scores occurred with computer use (p = 0.05), higher education (p internet (p = 0.02), and believing that smoking is bad (p bad (p = 0.05) were associated with improved scores. Persons with profound hearing loss have poor knowledge of recommended cancer prevention interventions. English use in multiple settings was strongly associated with increased knowledge.

Studying different tasks of implicit learning across multiple test sessions conducted on the web

Directory of Open Access Journals (Sweden)

Werner eSævland

2016-06-01

Full Text Available Implicit learning is usually studied through individual performance on a single task, with the most common tasks being Serial Reaction Time task (SRT; Nissen and Bullemer, 1987, Dynamic System Control task (DSC; (Berry and Broadbent, 1984 and artificial Grammar Learning task (AGL; (Reber, 1967. Few attempts have been made to compare performance across different implicit learning tasks within the same experiment. The current experiment was designed study the relationship between performance on the DSC Sugar factory task (Berry and Broadbent, 1984 and the Alternating Serial Reaction Time task (ASRT; (Howard and Howard, 1997. We also addressed another limitation to traditional implicit learning experiments, namely that implicit learning is usually studied in laboratory settings over a restricted time span lasting for less than an hour (Berry and Broadbent, 1984; Nissen and Bullemer, 1987; Reber, 1967. In everyday situations, implicit learning is assumed to involve a gradual accumulation of knowledge across several learning episodes over a larger time span (Norman and Price, 2012. One way to increase the ecological validity of implicit learning experiments could be to present the learning material repeatedly across shorter experimental sessions (Howard and Howard, 1997; Cleeremans and McClelland, 1991. This can most easily be done by using a web-based setup that participants can access from home. We therefore created an online web-based system for measuring implicit learning that could be administered in either single or multiple sessions. Participants (n = 66 were assigned to either a single-session or a multi-session condition. Learning and the degree of conscious awareness of the learned regularities was compared across condition (single vs. multiple sessions and tasks (DSC vs. ASRT. Results showed that learning on the two tasks was not related. However, participants in the multiple sessions condition did show greater improvements in reaction

Environmentally profound

Energy Technology Data Exchange (ETDEWEB)

Wang, Rushu [China Yangzte Three Gorges Project Development Corp., Yichang Hubei (China)

1999-09-01

The Three Gorges dam project on the Yangtze river will have a profound effect on the people, the environment and cultural heritage sites. The dam will be the world's biggest and will provide almost 85 BkWh of hydro power per annum. A noticeable benefit will be a greatly reduced incidence of flooding in the Jingjiang reaches of the river. Additional benefits will be improved local navigation, climate and enhanced water quality. The main unwelcome impacts were loss of farmland and resettlement of people but here the government have been particularly careful to provide the relocated people with a reasonable standard of new accommodation and farmland. The loss of natural vegetation will be small but there are endangered species of birds and animals living in the region. A number of negative environmental affects (dust noise, incidence of certain diseases) and how they are to be mitigated are mentioned. (UK)

Collaborative E-Learning with Multiple Imaginary Co-Learner: Design, Issues and Implementation

OpenAIRE

Melvin Ballera; Mosbah Mohamed Elssaedi; Ahmed Khalil Zohdy

2013-01-01

Collaborative problem solving in e-learning can take in the form of discussion among learner, creating a highly social learning environment and characterized by participation and interactivity. This paper, designed a collaborative learning environment where agent act as co-learner, can play different roles during interaction. Since different roles have been assigned to the agent, learner will assume that multiple co-learner exists to help and guide him all throughout the ...

Memory and learning disturbances in multiple sclerosis

International Nuclear Information System (INIS)

Izquierdo, Guillermo; Mir, Jordi; Gonzalez, Manuel; Martinez-Parra, Carlos; Campoy, Francisco Jr

1991-01-01

Thirty-five patients with definite multiple sclerosis (MS) were studied. They underwent neuropsychological testing and magnetic resonance imaging (MRI). The MRI findings at different brain areas levels were compared with the neuropsychological findings. A quantitative system was used to measure MRI-MS lesions. In this series, a positive correlation was established between memory and learning disturbances measured by Battery 144, and the lesions measured by MRI (total, hemispheric and , particularly, periventricular lesions). MRI can detect MS lesions, and this study shows that a correlation between MRI and neuropsychological findings is possible if quantitative methods are used to distinguish different MS involvement areas in relation to neuropsychological tasks. These findings suggest that hemispheric lesions in MS produce cognitive disturbances and MRI could be a useful tool in predicting memory and learning impairment. (author). 20 refs.; 1 fig.; 2 tabs

Multiple Chaotic Central Pattern Generators with Learning for Legged Locomotion and Malfunction Compensation

DEFF Research Database (Denmark)

Ren, Guanjiao; Chen, Weihai; Dasgupta, Sakyasingha

2015-01-01

on a simulated annealing algorithm. In a normal situation, the CPGs synchronize and their dynamics are identical. With leg malfunction or disability, the CPGs lose synchronization leading to independent dynamics. In this case, the learning mechanism is applied to automatically adjust the remaining legs...... in a physical simulation of a quadruped as well as a hexapod robot and finally in a real six-legged walking machine called AMOSII. The experimental results presented here reveal that using multiple CPGs with learning is an effective approach for adaptive locomotion generation where, for instance, different body...... chaotic CPG controller has difficulties dealing with leg malfunction. Specifically, in the scenarios presented here, its movement permanently deviates from the desired trajectory. To address this problem, we extend the single chaotic CPG to multiple CPGs with learning. The learning mechanism is based...

ProFound: Source Extraction and Application to Modern Survey Data

Science.gov (United States)

Robotham, A. S. G.; Davies, L. J. M.; Driver, S. P.; Koushan, S.; Taranu, D. S.; Casura, S.; Liske, J.

2018-05-01

We introduce PROFOUND, a source finding and image analysis package. PROFOUND provides methods to detect sources in noisy images, generate segmentation maps identifying the pixels belonging to each source, and measure statistics like flux, size, and ellipticity. These inputs are key requirements of PROFIT, our recently released galaxy profiling package, where the design aim is that these two software packages will be used in unison to semi-automatically profile large samples of galaxies. The key novel feature introduced in PROFOUND is that all photometry is executed on dilated segmentation maps that fully contain the identifiable flux, rather than using more traditional circular or ellipse-based photometry. Also, to be less sensitive to pathological segmentation issues, the de-blending is made across saddle points in flux. We apply PROFOUND in a number of simulated and real-world cases, and demonstrate that it behaves reasonably given its stated design goals. In particular, it offers good initial parameter estimation for PROFIT, and also segmentation maps that follow the sometimes complex geometry of resolved sources, whilst capturing nearly all of the flux. A number of bulge-disc decomposition projects are already making use of the PROFOUND and PROFIT pipeline, and adoption is being encouraged by publicly releasing the software for the open source R data analysis platform under an LGPL-3 license on GitHub (github.com/asgr/ProFound).

Pareto-path multitask multiple kernel learning.

Science.gov (United States)

Li, Cong; Georgiopoulos, Michael; Anagnostopoulos, Georgios C

2015-01-01

A traditional and intuitively appealing Multitask Multiple Kernel Learning (MT-MKL) method is to optimize the sum (thus, the average) of objective functions with (partially) shared kernel function, which allows information sharing among the tasks. We point out that the obtained solution corresponds to a single point on the Pareto Front (PF) of a multiobjective optimization problem, which considers the concurrent optimization of all task objectives involved in the Multitask Learning (MTL) problem. Motivated by this last observation and arguing that the former approach is heuristic, we propose a novel support vector machine MT-MKL framework that considers an implicitly defined set of conic combinations of task objectives. We show that solving our framework produces solutions along a path on the aforementioned PF and that it subsumes the optimization of the average of objective functions as a special case. Using the algorithms we derived, we demonstrate through a series of experimental results that the framework is capable of achieving a better classification performance, when compared with other similar MTL approaches.

HyDR-MI : A hybrid algorithm to reduce dimensionality in multiple instance learning

NARCIS (Netherlands)

Zafra, A.; Pechenizkiy, M.; Ventura, S.

2013-01-01

Feature selection techniques have been successfully applied in many applications for making supervised learning more effective and efficient. These techniques have been widely used and studied in traditional supervised learning settings, where each instance is expected to have a label. In multiple

Multiple-Machine Scheduling with Learning Effects and Cooperative Games

Directory of Open Access Journals (Sweden)

Yiyuan Zhou

2015-01-01

Full Text Available Multiple-machine scheduling problems with position-based learning effects are studied in this paper. There is an initial schedule in this scheduling problem. The optimal schedule minimizes the sum of the weighted completion times; the difference between the initial total weighted completion time and the minimal total weighted completion time is the cost savings. A multiple-machine sequencing game is introduced to allocate the cost savings. The game is balanced if the normal processing times of jobs that are on the same machine are equal and an equal number of jobs are scheduled on each machine initially.

Human dignity and the profoundly disabled: a theological perspective.

Science.gov (United States)

Matthews, Pia

2011-01-01

One challenge to the concept of human dignity is that it is a rootless notion invoked simply to mask inequalities that inevitably exist between human beings. This privileging of humans is speciesist and its weak point is the profoundly disabled human being. This article argues that far from being a weak point, the profoundly disabled person is a source of strength and witness to the intrinsic dignity that all human beings have by virtue of being human. The disabled represent the reality of human existence that is both strong and fragile. Although human dignity can be understood philosophically its depth is rooted in Christian theological insights. The profoundly disabled occupy a privileged position and share in a theology of mission since they testify to the interdependence of every human being and human dependence on God to a myopic world that only values strength, autonomy and independence.

Which is the best intrinsic motivation signal for learning multiple skills?

Directory of Open Access Journals (Sweden)

Vieri Giuliano Santucci

2013-11-01

Full Text Available Humans and other biological agents are able to autonomously learn and cache different skills in the absence of any biological pressure or any assigned task. In this respect, Intrinsic Motivations (i.e. motivations not connected to reward-related stimuli play a cardinal role in animal learning, and can be considered as a fundamental tool for developing more autonomous and more adaptive artificial agents. In this work, we provide an exhaustive analysis of a scarcely investigated problem: which kind of IM reinforcement signal is the most suitable for driving the acquisition of multiple skills in the shortest time? To this purpose we implemented an artificial agent with a hierarchical architecture that allows to learn and cache different skills. We tested the system in a setup with continuous states and actions, in particular, with a cinematic robotic arm that has to learn different reaching tasks. We compare the results of different versions of the system driven by several different intrinsic motivation signals. The results show a that intrinsic reinforcements purely based on the knowledge of the system are not appropriate to guide the acquisition of multiple skills, and b that the stronger the link between the IM signal and the competence of the system, the better the performance.

Comparison of Deep Learning With Multiple Machine Learning Methods and Metrics Using Diverse Drug Discovery Data Sets.

Science.gov (United States)

Korotcov, Alexandru; Tkachenko, Valery; Russo, Daniel P; Ekins, Sean

2017-12-04

Machine learning methods have been applied to many data sets in pharmaceutical research for several decades. The relative ease and availability of fingerprint type molecular descriptors paired with Bayesian methods resulted in the widespread use of this approach for a diverse array of end points relevant to drug discovery. Deep learning is the latest machine learning algorithm attracting attention for many of pharmaceutical applications from docking to virtual screening. Deep learning is based on an artificial neural network with multiple hidden layers and has found considerable traction for many artificial intelligence applications. We have previously suggested the need for a comparison of different machine learning methods with deep learning across an array of varying data sets that is applicable to pharmaceutical research. End points relevant to pharmaceutical research include absorption, distribution, metabolism, excretion, and toxicity (ADME/Tox) properties, as well as activity against pathogens and drug discovery data sets. In this study, we have used data sets for solubility, probe-likeness, hERG, KCNQ1, bubonic plague, Chagas, tuberculosis, and malaria to compare different machine learning methods using FCFP6 fingerprints. These data sets represent whole cell screens, individual proteins, physicochemical properties as well as a data set with a complex end point. Our aim was to assess whether deep learning offered any improvement in testing when assessed using an array of metrics including AUC, F1 score, Cohen's kappa, Matthews correlation coefficient and others. Based on ranked normalized scores for the metrics or data sets Deep Neural Networks (DNN) ranked higher than SVM, which in turn was ranked higher than all the other machine learning methods. Visualizing these properties for training and test sets using radar type plots indicates when models are inferior or perhaps over trained. These results also suggest the need for assessing deep learning further

Design of multiple representations e-learning resources based on a contextual approach for the basic physics course

Science.gov (United States)

Bakri, F.; Muliyati, D.

2018-05-01

This research aims to design e-learning resources with multiple representations based on a contextual approach for the Basic Physics Course. The research uses the research and development methods accordance Dick & Carey strategy. The development carried out in the digital laboratory of Physics Education Department, Mathematics and Science Faculty, Universitas Negeri Jakarta. The result of the process of product development with Dick & Carey strategy, have produced e-learning design of the Basic Physics Course is presented in multiple representations in contextual learning syntax. The appropriate of representation used in the design of learning basic physics include: concept map, video, figures, data tables of experiment results, charts of data tables, the verbal explanations, mathematical equations, problem and solutions example, and exercise. Multiple representations are presented in the form of contextual learning by stages: relating, experiencing, applying, transferring, and cooperating.

Enhancing Undergraduate Chemistry Learning by Helping Students Make Connections among Multiple Graphical Representations

Science.gov (United States)

Rau, Martina A.

2015-01-01

Multiple representations are ubiquitous in chemistry education. To benefit from multiple representations, students have to make connections between them. However, connection making is a difficult task for students. Prior research shows that supporting connection making enhances students' learning in math and science domains. Most prior research…

Event recognition in personal photo collections via multiple instance learning-based classification of multiple images

Science.gov (United States)

Ahmad, Kashif; Conci, Nicola; Boato, Giulia; De Natale, Francesco G. B.

2017-11-01

Over the last few years, a rapid growth has been witnessed in the number of digital photos produced per year. This rapid process poses challenges in the organization and management of multimedia collections, and one viable solution consists of arranging the media on the basis of the underlying events. However, album-level annotation and the presence of irrelevant pictures in photo collections make event-based organization of personal photo albums a more challenging task. To tackle these challenges, in contrast to conventional approaches relying on supervised learning, we propose a pipeline for event recognition in personal photo collections relying on a multiple instance-learning (MIL) strategy. MIL is a modified form of supervised learning and fits well for such applications with weakly labeled data. The experimental evaluation of the proposed approach is carried out on two large-scale datasets including a self-collected and a benchmark dataset. On both, our approach significantly outperforms the existing state-of-the-art.

Multiple Kernel Learning with Random Effects for Predicting Longitudinal Outcomes and Data Integration

Science.gov (United States)

Chen, Tianle; Zeng, Donglin

2015-01-01

Summary Predicting disease risk and progression is one of the main goals in many clinical research studies. Cohort studies on the natural history and etiology of chronic diseases span years and data are collected at multiple visits. Although kernel-based statistical learning methods are proven to be powerful for a wide range of disease prediction problems, these methods are only well studied for independent data but not for longitudinal data. It is thus important to develop time-sensitive prediction rules that make use of the longitudinal nature of the data. In this paper, we develop a novel statistical learning method for longitudinal data by introducing subject-specific short-term and long-term latent effects through a designed kernel to account for within-subject correlation of longitudinal measurements. Since the presence of multiple sources of data is increasingly common, we embed our method in a multiple kernel learning framework and propose a regularized multiple kernel statistical learning with random effects to construct effective nonparametric prediction rules. Our method allows easy integration of various heterogeneous data sources and takes advantage of correlation among longitudinal measures to increase prediction power. We use different kernels for each data source taking advantage of the distinctive feature of each data modality, and then optimally combine data across modalities. We apply the developed methods to two large epidemiological studies, one on Huntington's disease and the other on Alzheimer's Disease (Alzheimer's Disease Neuroimaging Initiative, ADNI) where we explore a unique opportunity to combine imaging and genetic data to study prediction of mild cognitive impairment, and show a substantial gain in performance while accounting for the longitudinal aspect of the data. PMID:26177419

Multiple Intelligences, Motivations and Learning Experience Regarding Video-Assisted Subjects in a Rural University

Science.gov (United States)

Hajhashemi, Karim; Caltabiano, Nerina; Anderson, Neil; Tabibzadeh, Seyed Asadollah

2018-01-01

This study investigates multiple intelligences in relation to online video experiences, age, gender, and mode of learning from a rural Australian university. The inter-relationships between learners' different intelligences and their motivations and learning experience with the supplementary online videos utilised in their subjects are…

Student-Generated Content: Enhancing Learning through Sharing Multiple-Choice Questions

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Hardy, Judy; Bates, Simon P.; Casey, Morag M.; Galloway, Kyle W.; Galloway, Ross K.; Kay, Alison E.; Kirsop, Peter; McQueen, Heather A.

2014-01-01

The relationship between students' use of PeerWise, an online tool that facilitates peer learning through student-generated content in the form of multiple-choice questions (MCQs), and achievement, as measured by their performance in the end-of-module examinations, was investigated in 5 large early-years science modules (in physics, chemistry and…

Optimizing multiple-choice tests as tools for learning.

Science.gov (United States)

Little, Jeri L; Bjork, Elizabeth Ligon

2015-01-01

Answering multiple-choice questions with competitive alternatives can enhance performance on a later test, not only on questions about the information previously tested, but also on questions about related information not previously tested-in particular, on questions about information pertaining to the previously incorrect alternatives. In the present research, we assessed a possible explanation for this pattern: When multiple-choice questions contain competitive incorrect alternatives, test-takers are led to retrieve previously studied information pertaining to all of the alternatives in order to discriminate among them and select an answer, with such processing strengthening later access to information associated with both the correct and incorrect alternatives. Supporting this hypothesis, we found enhanced performance on a later cued-recall test for previously nontested questions when their answers had previously appeared as competitive incorrect alternatives in the initial multiple-choice test, but not when they had previously appeared as noncompetitive alternatives. Importantly, however, competitive alternatives were not more likely than noncompetitive alternatives to be intruded as incorrect responses, indicating that a general increased accessibility for previously presented incorrect alternatives could not be the explanation for these results. The present findings, replicated across two experiments (one in which corrective feedback was provided during the initial multiple-choice testing, and one in which it was not), thus strongly suggest that competitive multiple-choice questions can trigger beneficial retrieval processes for both tested and related information, and the results have implications for the effective use of multiple-choice tests as tools for learning.

Searching for Variables and Models to Investigate Mediators of Learning from Multiple Representations

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Rau, Martina A.; Scheines, Richard

2012-01-01

Although learning from multiple representations has been shown to be effective in a variety of domains, little is known about the mechanisms by which it occurs. We analyzed log data on error-rate, hint-use, and time-spent obtained from two experiments with a Cognitive Tutor for fractions. The goal of the experiments was to compare learning from…

A Fuzzy Logic Framework for Integrating Multiple Learned Models

Energy Technology Data Exchange (ETDEWEB)

Hartog, Bobi Kai Den [Univ. of Nebraska, Lincoln, NE (United States)

1999-03-01

The Artificial Intelligence field of Integrating Multiple Learned Models (IMLM) explores ways to combine results from sets of trained programs. Aroclor Interpretation is an ill-conditioned problem in which trained programs must operate in scenarios outside their training ranges because it is intractable to train them completely. Consequently, they fail in ways related to the scenarios. We developed a general-purpose IMLM solution, the Combiner, and applied it to Aroclor Interpretation. The Combiner's first step, Scenario Identification (M), learns rules from very sparse, synthetic training data consisting of results from a suite of trained programs called Methods. S1 produces fuzzy belief weights for each scenario by approximately matching the rules. The Combiner's second step, Aroclor Presence Detection (AP), classifies each of three Aroclors as present or absent in a sample. The third step, Aroclor Quantification (AQ), produces quantitative values for the concentration of each Aroclor in a sample. AP and AQ use automatically learned empirical biases for each of the Methods in each scenario. Through fuzzy logic, AP and AQ combine scenario weights, automatically learned biases for each of the Methods in each scenario, and Methods' results to determine results for a sample.

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

Intellectual enrichment lessens the effect of brain atrophy on learning and memory in multiple sclerosis.

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Sumowski, James F; Wylie, Glenn R; Chiaravalloti, Nancy; DeLuca, John

2010-06-15

Learning and memory impairments are prevalent among persons with multiple sclerosis (MS); however, such deficits are only weakly associated with MS disease severity (brain atrophy). The cognitive reserve hypothesis states that greater lifetime intellectual enrichment lessens the negative impact of brain disease on cognition, thereby helping to explain the incomplete relationship between brain disease and cognitive status in neurologic populations. The literature on cognitive reserve has focused mainly on Alzheimer disease. The current research examines whether greater intellectual enrichment lessens the negative effect of brain atrophy on learning and memory in patients with MS. Forty-four persons with MS completed neuropsychological measures of verbal learning and memory, and a vocabulary-based estimate of lifetime intellectual enrichment. Brain atrophy was estimated with third ventricle width measured from 3-T magnetization-prepared rapid gradient echo MRIs. Hierarchical regression was used to predict learning and memory with brain atrophy, intellectual enrichment, and the interaction between brain atrophy and intellectual enrichment. Brain atrophy predicted worse learning and memory, and intellectual enrichment predicted better learning; however, these effects were moderated by interactions between brain atrophy and intellectual enrichment. Specifically, higher intellectual enrichment lessened the negative impact of brain atrophy on both learning and memory. These findings help to explain the incomplete relationship between multiple sclerosis disease severity and cognition, as the effect of disease on cognition is attenuated among patients with higher intellectual enrichment. As such, intellectual enrichment is supported as a protective factor against disease-related cognitive impairment in persons with multiple sclerosis.

The application of multiple intelligence approach to the learning of human circulatory system

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Kumalasari, Lita; Yusuf Hilmi, A.; Priyandoko, Didik

2017-11-01

The purpose of this study is to offer an alternative teaching approach or strategies which able to accommodate students’ different ability, intelligence and learning style. Also can gives a new idea for the teacher as a facilitator for exploring how to teach the student in creative ways and more student-center activities, for a lesson such as circulatory system. This study was carried out at one private school in Bandung involved eight students to see their responses toward the lesson that delivered by using Multiple Intelligence approach which is include Linguistic, Logical-Mathematical, Visual-Spatial, Musical, Bodily-Kinesthetic, Interpersonal, Intrapersonal, and Naturalistic. Students were test by using MI test based on Howard Gardner’s MI model to see their dominant intelligence. The result showed the percentage of top three ranks of intelligence are Bodily-Kinesthetic (73%), Visual-Spatial (68%), and Logical-Mathematical (61%). The learning process is given by using some different multimedia and activities to engaged their learning style and intelligence such as mini experiment, short clip, and questions. Student response is given by using self-assessment and the result is all students said the lesson gives them a knowledge and skills that useful for their life, they are clear with the explanation given, they didn’t find difficulties to understand the lesson and can complete the assignment given. At the end of the study, it is reveal that the students who are learned by Multiple Intelligence instructional approach have more enhance to the lesson given. It’s also found out that the students participated in the learning process which Multiple Intelligence approach was applied enjoyed the activities and have great fun.

Loss of CIB2 Causes Profound Hearing Loss and Abolishes Mechanoelectrical Transduction in Mice

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Yanfei Wang

2017-12-01

Full Text Available Calcium and integrin-binding protein 2 (CIB2 belongs to a protein family with four known members, CIB1 through CIB4, which are characterized by multiple calcium-binding EF-hand domains. Among the family members, the Cib1 and Cib2 genes are expressed in mouse cochlear hair cells, and mutations in the human CIB2 gene have been associated with nonsyndromic deafness DFNB48 and syndromic deafness USH1J. To further explore the function of CIB1 and CIB2 in hearing, we established Cib1 and Cib2 knockout mice using the clustered regularly interspaced short palindromic repeat (CRISPR-associated Cas9 nuclease (CRISPR/Cas9 genome editing technique. We found that loss of CIB1 protein does not affect auditory function, whereas loss of CIB2 protein causes profound hearing loss in mice. Further investigation revealed that hair cell stereocilia development is affected in Cib2 knockout mice. Noticeably, loss of CIB2 abolishes mechanoelectrical transduction (MET currents in auditory hair cells. In conclusion, we show here that although both CIB1 and CIB2 are readily detected in the cochlea, only loss of CIB2 results in profound hearing loss, and that CIB2 is essential for auditory hair cell MET.

The Effect of Multiple Intelligences on DDL Vocabulary Learning

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Asma’a Abdulrazzaq Al-Mahbashi

2017-01-01

Full Text Available Over the past decades, the potential for the direct use of corpora known as data driven learning (DDL has gained great prominence in English language classrooms. A substantial number of empirical studies demonstrated that DDL instruction positively affects students’ learning. As learning outcomes can be affected by individual differences, some researchers have investigated the efficiency of DDL in the light of learners’ different characteristics to determine the type of learners who were more responsive to DDL. The DDL literature has indicated the need for more research addressing for whom DDL best suits. Therefore, the aim of the current study was to examine whether or not learners’ predominant intelligences were significant predictors of DDL learning outcomes. The sample for this study included 30 female EFL Yemeni students at Sana’a University. The study used three primary instruments:  a multiple intelligence questionnaire, a posttest and a delayed test on the vocabulary that was taught using DDL. The result of the correlation analyses between the participants’ three identified predominant intelligences and their performances in the posttest and delayed test showed an insignificant relationship between the variables. The regression analyses results also revealed that the predominant intelligences insignificantly predicted the participants’ posttest and delayed test performances.  Based on these findings, learners’ needs and preferences should be activated and addressed by classroom instructions for creating a diverse and motivating learning environment.

Multiple Learning Approaches in the Professional Development of School Leaders -- Theoretical Perspectives and Empirical Findings on Self-assessment and Feedback

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Huber, Stephan Gerhard

2013-01-01

This article investigates the use of multiple learning approaches and different modes and types of learning in the (continuous) professional development (PD) of school leaders, particularly the use of self-assessment and feedback. First, formats and multiple approaches to professional learning are described. Second, a possible approach to…

Integrated model of multiple kernel learning and differential evolution for EUR/USD trading.

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Deng, Shangkun; Sakurai, Akito

2014-01-01

Currency trading is an important area for individual investors, government policy decisions, and organization investments. In this study, we propose a hybrid approach referred to as MKL-DE, which combines multiple kernel learning (MKL) with differential evolution (DE) for trading a currency pair. MKL is used to learn a model that predicts changes in the target currency pair, whereas DE is used to generate the buy and sell signals for the target currency pair based on the relative strength index (RSI), while it is also combined with MKL as a trading signal. The new hybrid implementation is applied to EUR/USD trading, which is the most traded foreign exchange (FX) currency pair. MKL is essential for utilizing information from multiple information sources and DE is essential for formulating a trading rule based on a mixture of discrete structures and continuous parameters. Initially, the prediction model optimized by MKL predicts the returns based on a technical indicator called the moving average convergence and divergence. Next, a combined trading signal is optimized by DE using the inputs from the prediction model and technical indicator RSI obtained from multiple timeframes. The experimental results showed that trading using the prediction learned by MKL yielded consistent profits.

Integrated Model of Multiple Kernel Learning and Differential Evolution for EUR/USD Trading

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Shangkun Deng

2014-01-01

Full Text Available Currency trading is an important area for individual investors, government policy decisions, and organization investments. In this study, we propose a hybrid approach referred to as MKL-DE, which combines multiple kernel learning (MKL with differential evolution (DE for trading a currency pair. MKL is used to learn a model that predicts changes in the target currency pair, whereas DE is used to generate the buy and sell signals for the target currency pair based on the relative strength index (RSI, while it is also combined with MKL as a trading signal. The new hybrid implementation is applied to EUR/USD trading, which is the most traded foreign exchange (FX currency pair. MKL is essential for utilizing information from multiple information sources and DE is essential for formulating a trading rule based on a mixture of discrete structures and continuous parameters. Initially, the prediction model optimized by MKL predicts the returns based on a technical indicator called the moving average convergence and divergence. Next, a combined trading signal is optimized by DE using the inputs from the prediction model and technical indicator RSI obtained from multiple timeframes. The experimental results showed that trading using the prediction learned by MKL yielded consistent profits.

Learning Assessment in physical education: the relationship between assessment practices of teachers and learning approaches

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Marco Vinicio Gutiérrez

2015-02-01

Full Text Available This article shows the result of an investigation that studied teachers’ assessment practices in Physical Education in public schools from Suba in Bogota and the relationship between these practices with both superfluous and superficial learning approaches. It is organized into two sections; the first presents a classification of the evaluation practices, and the second establishes the relationship between these practices with the superficial and profound learning approaches. This article nourishes itself from a mixed-method research approach wherein the sample consisted of 68 teachers from whom data was collected using a survey. This data was then analyzed using the statistical software R. The results show the object, the purpose, procedures and ways in which teachers develop their assessment practice in physical education, and as well show a trend towards promoting meaningful and profound learning.

Multiple intelligences and underachievement: lessons from individuals with learning disabilities.

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Hearne, D; Stone, S

1995-01-01

The field of learning disabilities, like education in the main, is undergoing calls for reform and restructuring, an upheaval brought on in great part by the forces of opposing paradigms--reductionism and constructivism. In reexamining our past, we must begin to address the failures of traditional deficit models and their abysmally low "cure" rate. Several new theories have arisen that challenge traditional practices in both general and special education classrooms. Particularly influential has been the work of Howard Gardner, whose theory of multiple intelligences calls for a restructuring of our schools to accommodate modes of learning and inquiry with something other than deficit approaches. At least some current research in the field of learning disabilities has begun to focus on creativity and nontraditional strengths and talents that have not been well understood or highly valued by the schools. In this article, we briefly summarize the findings in our search for the talents of students labeled learning disabled, evidence of their abilities, implications of these for the schools, and a beginning set of practical recommendations.

Metabolite identification through multiple kernel learning on fragmentation trees.

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Shen, Huibin; Dührkop, Kai; Böcker, Sebastian; Rousu, Juho

2014-06-15

Metabolite identification from tandem mass spectrometric data is a key task in metabolomics. Various computational methods have been proposed for the identification of metabolites from tandem mass spectra. Fragmentation tree methods explore the space of possible ways in which the metabolite can fragment, and base the metabolite identification on scoring of these fragmentation trees. Machine learning methods have been used to map mass spectra to molecular fingerprints; predicted fingerprints, in turn, can be used to score candidate molecular structures. Here, we combine fragmentation tree computations with kernel-based machine learning to predict molecular fingerprints and identify molecular structures. We introduce a family of kernels capturing the similarity of fragmentation trees, and combine these kernels using recently proposed multiple kernel learning approaches. Experiments on two large reference datasets show that the new methods significantly improve molecular fingerprint prediction accuracy. These improvements result in better metabolite identification, doubling the number of metabolites ranked at the top position of the candidates list. © The Author 2014. Published by Oxford University Press.

Development and validity of mathematical learning assessment instruments based on multiple intelligence

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Helmiah Suryani

2017-06-01

Full Text Available This study was aimed to develop and produce an assessment instrument of mathematical learning results based on multiple intelligence. The methods in this study used Borg & Gall-Research and Development approach (Research & Development. The subject of research was 289 students. The results of research: (1 Result of Aiken Analysis showed 58 valid items were between 0,714 to 0,952. (2 Result of the Exploratory on factor analysis indicated the instrument consist of three factors i.e. mathematical logical intelligence-spatial intelligence-and linguistic intelligence. KMO value was 0.661 df 0.780 sig. 0.000 with valid category. This research succeeded to developing the assessment instrument of mathematical learning results based on multiple intelligence of second grade in elementary school with characteristics of logical intelligence of mathematics, spatial intelligence, and linguistic intelligence.

Quality through E-Learning and Quality for E-Learning

OpenAIRE

Vatuiu Teodora; Udrica Mioara; Negrutiu Magdalena

2013-01-01

E-learning is a term frequently debated in the lasts years, especially in the academic environment. Computer technology has profoundly transformed society, research and education. It provides support for the development of an educational system continuously adapted to society’s demands and advances in knowledge acquisition. Students can learn, evaluate and communicate their own results in formal or informal settings, universities and other public institutions take part in the development of i...

Observations on Working Psychoanalytically with a Profoundly Amnesic Patient

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Paul A. Moore

2017-08-01

Full Text Available Individuals with profound amnesia are markedly impaired in explicitly recalling new episodic events, but appear to preserve the capacity to use information from other sources. Amongst these preserved capacities is the ability to form new memories of an emotional nature – a skill at the heart of developing and sustaining interpersonal relationships. The psychoanalytic study of individuals with profound amnesia might contribute to the understanding the importance of each memory system, including effects on key analytic processes such as transference and countertransference. However, psychoanalytic work in the presence of profound amnesia might also require important technical modifications. In the first report of its kind, we describe observations from a long term psychoanalytic process (72 sessions with an individual (JL who has profound amnesia after an anoxic episode. The nature of therapy was shaped by JL’s impairment in connecting elements that belong to distant (and even relatively close moments in the therapeutic process. However, we were also able to document areas of preservation, in what appears to be a functioning therapeutic alliance. As regards transference, the relationship between JL and his analyst can be viewed as the evolution of a narcissistic transference, and case material is provided that maps this into three phases: (i rejecting; (ii starting to take in; and (iii full use of the analytic space – where each phase exhibits differing degrees of permeability between JL and the analyst. This investigation appears to have important theoretical implications for psychoanalytic practice, and for psychotherapy in general – and not only with regard to brain injured populations. We especially note that it raises questions concerning the mechanism of therapeutic action in psychoanalysis and psychotherapy, and the apparent unimportance of episodic memory for many elements of therapeutic change.

A formal proof of the expressiveness of deep learning

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Bentkamp, A.; Blanchette, J.C.; Klakow, Dietrich

2017-01-01

Deep learning has had a profound impact on computer science in recent years, with applications to image recognition, language processing, bioinformatics, and more. Recently, Cohen et al. provided theoretical evidence for the superiority of deep learning over shallow learning. We formalized their

musical mnemonics aid verbal memory and induce learning related brain plasticity in multiple sclerosis

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Michael eThaut

2014-06-01

Full Text Available Recent research in music and brain function has suggested that the temporal pattern structure in music andrhythm can enhance cognitive functions. To further elucidate this question specifically for memory weinvestigated if a musical template can enhance verbal learning in patients with multiple sclerosis and ifmusic assisted learning will also influence short-term, system-level brain plasticity. We measuredsystems-level brain activity with oscillatory network synchronization during music assisted learning.Specifically, we measured the spectral power of 128-channel electroencephalogram (EEG in alpha andbeta frequency bands in 54 patients with multiple sclerosis (MS. The study sample was randomlydivided into 2 groups, either hearing a spoken or musical (sung presentation of Rey’s Auditory VerbalLearning Test (RAVLT. We defined the learning-related synchronization (LRS as the percent changein EEG spectral power from the first time the word was presented to the average of the subsequent wordencoding trials. LRS differed significantly between the music and spoken conditions in low alpha andupper beta bands. Patients in the music condition showed overall better word memory and better wordorder memory and stronger bilateral frontal alpha LRS than patients in the spoken condition. Theevidence suggests that a musical mnemonic recruits stronger oscillatory network synchronization inprefrontal areas in MS patients during word learning. It is suggested that the temporal structure implicitin musical stimuli enhances ‘deep encoding’ during verbal learning and sharpens the timing of neuraldynamics in brain networks degraded by demyelination in MS

Tracking Multiple Statistics: Simultaneous Learning of Object Names and Categories in English and Mandarin Speakers.

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Chen, Chi-Hsin; Gershkoff-Stowe, Lisa; Wu, Chih-Yi; Cheung, Hintat; Yu, Chen

2017-08-01

Two experiments were conducted to examine adult learners' ability to extract multiple statistics in simultaneously presented visual and auditory input. Experiment 1 used a cross-situational learning paradigm to test whether English speakers were able to use co-occurrences to learn word-to-object mappings and concurrently form object categories based on the commonalities across training stimuli. Experiment 2 replicated the first experiment and further examined whether speakers of Mandarin, a language in which final syllables of object names are more predictive of category membership than English, were able to learn words and form object categories when trained with the same type of structures. The results indicate that both groups of learners successfully extracted multiple levels of co-occurrence and used them to learn words and object categories simultaneously. However, marked individual differences in performance were also found, suggesting possible interference and competition in processing the two concurrent streams of regularities. Copyright © 2016 Cognitive Science Society, Inc.

Learning styles and types of multiple intelligences in dental students in their first and tenth semester. Monterrey, Mexico, 2015.

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Juan Solís-Soto

2016-04-01

Full Text Available Introduction: Nowadays the incorporation and validation of learning styles and multiple intelligences enable teachers to obtain positive results in academic performance. This new approach has allowed to appreciate personal differences in dental students and strengthen their underdeveloped aspects, improving teaching and learning skills. Objective: To compare learning styles and multiple intelligences in a sample of Mexican dental students in their first and tenth semester. Materials and Methods: A cross-sectional study using questionnaires on learning styles (Honey-Alonso and Gardner’s multiple intelligences was performed. The study was applied to 123 students in their first semester and 157 in their tenth semester at the School of Dentistry at Universidad Autónoma de Nuevo León, evaluating differences between age and sex. Results: Logical-Mathematical intelligence (p=0.044 and Kinesthetic-Corporal intelligence (p=0.042 showed significant differences between students of both semesters, with intrapersonal and interpersonal intelligences being more prevalent. Within learning styles, the prevalent were Reflexive and Theoretical, showing a significant difference between semesters (p=0.005. Conclusion: The most prevalent learning styles in both groups were Reflexive and Theoretical, with no difference between both sexes. The most prevalent types of multiple intelligences in both sexes and groups were interpersonal and intrapersonal.

Foveal Processing Under Concurrent Peripheral Load in Profoundly Deaf Adults

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2016-01-01

Development of the visual system typically proceeds in concert with the development of audition. One result is that the visual system of profoundly deaf individuals differs from that of those with typical auditory systems. While past research has suggested deaf people have enhanced attention in the visual periphery, it is still unclear whether or not this enhancement entails deficits in central vision. Profoundly deaf and typically hearing adults were administered a variant of the useful field of view task that independently assessed performance on concurrent central and peripheral tasks. Identification of a foveated target was impaired by a concurrent selective peripheral attention task, more so in profoundly deaf adults than in the typically hearing. Previous findings of enhanced performance on the peripheral task were not replicated. These data are discussed in terms of flexible allocation of spatial attention targeted towards perceived task demands, and support a modified “division of labor” hypothesis whereby attentional resources co-opted to process peripheral space result in reduced resources in the central visual field. PMID:26657078

Academic Achievement from Using the Learning Medium Via a Tablet Device Based on Multiple Intelligences in Grade 1 Elementary Student.

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Nuallaong, Winitra; Nuallaong, Thanya; Preechadirek, Nongluck

2015-04-01

To measure academic achievement of the multiple intelligence-based learning medium via a tablet device. This is a quasi-experimental research study (non-randomized control group pretest-posttest design) in 62 grade 1 elementary students (33 males and 29 females). Thirty-one students were included in an experimental group using purposive sampling by choosing a student who had highest multiple intelligence test scores in logical-mathematic. Then, this group learned by the new learning medium via a tablet which the application matched to logical-mathematic multiple intelligence. Another 31 students were included in a control group using simple random sampling and then learning by recitation. Both groups did pre-test and post-test vocabulary. Thirty students in the experimental group and 24 students in the control group increased post-test scores (odds ratio = 8.75). Both groups made significant increasing in post-test scores. The experimental group increased 9.07 marks (95% CI 8.20-9.93) significantly higher than the control group which increased 4.39 marks (95% CI 3.06-5.72) (t = -6.032, df = 51.481, p learning from either multiple intelligence-based learning medium via a tablet or recitation can contribute academic achievement, learningfrom the new medium contributed more achievement than recitation. The new learning medium group had higher post-test scores 8.75 times than the recitation group. Therefore, the new learning medium is more effective than the traditional recitation in terms of academic achievement. This study has limitations because samples came from the same school. However, the previous study in Thailand did notfind a logical-mathematical multiple intelligence difference among schools. In the future, long-term research to find how the new learning medium affects knowledge retention will support the advantage for life-long learning.

Misperceiving Bullshit as Profound Is Associated with Favorable Views of Cruz, Rubio, Trump and Conservatism.

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Stefan Pfattheicher

Full Text Available The present research investigates the associations between holding favorable views of potential Democratic or Republican candidates for the US presidency 2016 and seeing profoundness in bullshit statements. In this contribution, bullshit is used as a technical term which is defined as communicative expression that lacks content, logic, or truth from the perspective of natural science. We used the Bullshit Receptivity scale (BSR to measure seeing profoundness in bullshit statements. The BSR scale contains statements that have a correct syntactic structure and seem to be sound and meaningful on first reading but are actually vacuous. Participants (N = 196; obtained via Amazon Mechanical Turk rated the profoundness of bullshit statements (using the BSR and provided favorability ratings of three Democratic (Hillary Clinton, Martin O'Malley, and Bernie Sanders and three Republican candidates for US president (Ted Cruz, Marco Rubio, and Donald Trump. Participants also completed a measure of political liberalism/conservatism. Results revealed that favorable views of all three Republican candidates were positively related to judging bullshit statements as profound. The smallest correlation was found for Donald Trump. Although we observe a positive association between bullshit and support for the three Democrat candidates, this relationship is both substantively small and statistically insignificant. The general measure of political liberalism/conservatism was also related to judging bullshit statements as profound in that individuals who were more politically conservative had a higher tendency to see profoundness in bullshit statements. Of note, these results were not due to a general tendency among conservatives to see profoundness in everything: Favorable views of Republican candidates and conservatism were not significantly related to profoundness ratings of mundane statements. In contrast, this was the case for Hillary Clinton and Martin O

Misperceiving Bullshit as Profound Is Associated with Favorable Views of Cruz, Rubio, Trump and Conservatism.

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Pfattheicher, Stefan; Schindler, Simon

2016-01-01

The present research investigates the associations between holding favorable views of potential Democratic or Republican candidates for the US presidency 2016 and seeing profoundness in bullshit statements. In this contribution, bullshit is used as a technical term which is defined as communicative expression that lacks content, logic, or truth from the perspective of natural science. We used the Bullshit Receptivity scale (BSR) to measure seeing profoundness in bullshit statements. The BSR scale contains statements that have a correct syntactic structure and seem to be sound and meaningful on first reading but are actually vacuous. Participants (N = 196; obtained via Amazon Mechanical Turk) rated the profoundness of bullshit statements (using the BSR) and provided favorability ratings of three Democratic (Hillary Clinton, Martin O'Malley, and Bernie Sanders) and three Republican candidates for US president (Ted Cruz, Marco Rubio, and Donald Trump). Participants also completed a measure of political liberalism/conservatism. Results revealed that favorable views of all three Republican candidates were positively related to judging bullshit statements as profound. The smallest correlation was found for Donald Trump. Although we observe a positive association between bullshit and support for the three Democrat candidates, this relationship is both substantively small and statistically insignificant. The general measure of political liberalism/conservatism was also related to judging bullshit statements as profound in that individuals who were more politically conservative had a higher tendency to see profoundness in bullshit statements. Of note, these results were not due to a general tendency among conservatives to see profoundness in everything: Favorable views of Republican candidates and conservatism were not significantly related to profoundness ratings of mundane statements. In contrast, this was the case for Hillary Clinton and Martin O'Malley. Overall, small

Profound bradycardia associated with NIV removal.

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Echevarria, C; Bourke, S C; Gibson, G J

2012-01-01

A patient with lower-limb onset ALS presented with a one-month history of vasovagal episodes and a one-week history of cough productive of green sputum and lethargy. She was drowsy and in acute on chronic type-two respiratory failure. She responded to non-invasive ventilation, however she suffered recurrent episodes of profound bradycardia on removal of the mask, which gradually resolved over ten days. We have reviewed the literature and offer a potential explanation for these events.

The MORPG-Based Learning System for Multiple Courses: A Case Study on Computer Science Curriculum

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Liu, Kuo-Yu

2015-01-01

This study aimed at developing a Multiplayer Online Role Playing Game-based (MORPG) Learning system which enabled instructors to construct a game scenario and manage sharable and reusable learning content for multiple courses. It used the curriculum of "Introduction to Computer Science" as a study case to assess students' learning…

A Mobile Service Oriented Multiple Object Tracking Augmented Reality Architecture for Education and Learning Experiences

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Rattanarungrot, Sasithorn; White, Martin; Newbury, Paul

2014-01-01

This paper describes the design of our service-oriented architecture to support mobile multiple object tracking augmented reality applications applied to education and learning scenarios. The architecture is composed of a mobile multiple object tracking augmented reality client, a web service framework, and dynamic content providers. Tracking of…

Nonlinear Semi-Supervised Metric Learning Via Multiple Kernels and Local Topology.

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Li, Xin; Bai, Yanqin; Peng, Yaxin; Du, Shaoyi; Ying, Shihui

2018-03-01

Changing the metric on the data may change the data distribution, hence a good distance metric can promote the performance of learning algorithm. In this paper, we address the semi-supervised distance metric learning (ML) problem to obtain the best nonlinear metric for the data. First, we describe the nonlinear metric by the multiple kernel representation. By this approach, we project the data into a high dimensional space, where the data can be well represented by linear ML. Then, we reformulate the linear ML by a minimization problem on the positive definite matrix group. Finally, we develop a two-step algorithm for solving this model and design an intrinsic steepest descent algorithm to learn the positive definite metric matrix. Experimental results validate that our proposed method is effective and outperforms several state-of-the-art ML methods.

Helping Children Learn Mathematics through Multiple Intelligences and Standards for School Mathematics.

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Adams, Thomasenia Lott

2001-01-01

Focuses on the National Council of Teachers of Mathematics 2000 process-oriented standards of problem solving, reasoning and proof, communication, connections, and representation as providing a framework for using the multiple intelligences that children bring to mathematics learning. Presents ideas for mathematics lessons and activities to…

Engagement in family activities: a quantitative, comparative study of children with profound intellectual and multiple disabilities and children with typical development.

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Axelsson, A K; Granlund, M; Wilder, J

2013-07-01

Participation is known to be of great importance for children's development and emotional well-being as well as for their families. In the International Classification of Functioning, Disability and Health - Children and Youth version participation is defined as a person's 'involvement in a life situation'. Engagement is closely related to involvement and can be seen as expressions of involvement or degree of involvement within a situation. This study focuses on children's engagement in family activities; one group of families with a child with profound intellectual and multiple disabilities (PIMD) and one group of families with children with typical development (TD) were compared. A descriptive study using questionnaires. Analyses were mainly performed by using Mann-Whitney U-test and Spearman's rank correlation test. Engagement in family activities differed in the two groups of children. The children with PIMD had a lower level of engagement in most family activities even though the activities that engaged the children to a higher or lesser extent were the same in both groups. Child engagement was found to correlate with family characteristics mostly in the children with TD and in the children with PIMD only negative correlations occurred. In the children with PIMD child engagement correlated with cognition in a high number of listed family activities and the children had a low engagement in routines in spite of these being frequently occurring activities. Level of engagement in family activities in the group of children with PIMD was lower compared with that in the group of children with TD. Families with a child with PIMD spend much time and effort to adapt family living patterns to the child's functioning. © 2013 John Wiley & Sons Ltd.

Formation Learning Control of Multiple Autonomous Underwater Vehicles With Heterogeneous Nonlinear Uncertain Dynamics.

Science.gov (United States)

Yuan, Chengzhi; Licht, Stephen; He, Haibo

2017-09-26

In this paper, a new concept of formation learning control is introduced to the field of formation control of multiple autonomous underwater vehicles (AUVs), which specifies a joint objective of distributed formation tracking control and learning/identification of nonlinear uncertain AUV dynamics. A novel two-layer distributed formation learning control scheme is proposed, which consists of an upper-layer distributed adaptive observer and a lower-layer decentralized deterministic learning controller. This new formation learning control scheme advances existing techniques in three important ways: 1) the multi-AUV system under consideration has heterogeneous nonlinear uncertain dynamics; 2) the formation learning control protocol can be designed and implemented by each local AUV agent in a fully distributed fashion without using any global information; and 3) in addition to the formation control performance, the distributed control protocol is also capable of accurately identifying the AUVs' heterogeneous nonlinear uncertain dynamics and utilizing experiences to improve formation control performance. Extensive simulations have been conducted to demonstrate the effectiveness of the proposed results.

Do colors exist? and other profound physics questions

CERN Document Server

Cottrell, Seth Stannard

2018-01-01

Why do polished stones look wet? How does the Twin Paradox work? Why are orbits ellipses? How can we be sure that pi never repeats? How does a quantum computer break encryption? Discover the answers to these, and other profound physics questions! This fascinating book presents a collection of articles based on conversations and correspondences between the author and complete strangers about physics and math. The author, a researcher in mathematical physics, responds to dozens of questions posed by inquiring minds from all over the world, ranging from the everyday to the profound. Rather than unnecessarily complex explanations mired in mysterious terminology and symbols, the reader is presented with the reasoning, experiments, and mathematics in a casual, conversational, and often comical style. Neither over-simplified nor over-technical, the lucid and entertaining writing will guide the reader from the each innocent question to a better understanding of the weird and beautiful universe around us. Advance prai...

Competence-based multiple learning paths: on the road of implementation

Directory of Open Access Journals (Sweden)

María Dolores de Prada

2014-12-01

Full Text Available This article presents the results of an action-research implementation project based on a system that weaves together five different routes to facilitate the development of competences through the use of multiple learning paths for primary and secondary teachers. The first and initial results that the article deals with relate to the experience of math teachers for ages 11 to 14. Other levels and other fields are in the process of being developed. The article deals briefly with the justification, the background and the fundamental principles that underpin the research methodology and introduces a number of elements such as the method followed by the research, the resources and the materials used as well as the results obtained at the end of the second year of this experience. It also justifies the model chosen and the criteria and strategies selected for its reliability and verification. In addition, it provides significant elements of reflection about a number of burning issues: The development of a new profile of the “teacher” in a studentcentred system and the implementation system to be followed, the importance of multiple but integrated learning paths and the relevance as well as the reflection on real cases of competence evaluation.

Direction-of-arrival estimation for co-located multiple-input multiple-output radar using structural sparsity Bayesian learning

International Nuclear Information System (INIS)

Wen Fang-Qing; Zhang Gong; Ben De

2015-01-01

This paper addresses the direction of arrival (DOA) estimation problem for the co-located multiple-input multiple-output (MIMO) radar with random arrays. The spatially distributed sparsity of the targets in the background makes compressive sensing (CS) desirable for DOA estimation. A spatial CS framework is presented, which links the DOA estimation problem to support recovery from a known over-complete dictionary. A modified statistical model is developed to accurately represent the intra-block correlation of the received signal. A structural sparsity Bayesian learning algorithm is proposed for the sparse recovery problem. The proposed algorithm, which exploits intra-signal correlation, is capable being applied to limited data support and low signal-to-noise ratio (SNR) scene. Furthermore, the proposed algorithm has less computation load compared to the classical Bayesian algorithm. Simulation results show that the proposed algorithm has a more accurate DOA estimation than the traditional multiple signal classification (MUSIC) algorithm and other CS recovery algorithms. (paper)

Simultaneous processing of information on multiple errors in visuomotor learning.

Science.gov (United States)

Kasuga, Shoko; Hirashima, Masaya; Nozaki, Daichi

2013-01-01

The proper association between planned and executed movements is crucial for motor learning because the discrepancies between them drive such learning. Our study explored how this association was determined when a single action caused the movements of multiple visual objects. Participants reached toward a target by moving a cursor, which represented the right hand's position. Once every five to six normal trials, we interleaved either of two kinds of visual perturbation trials: rotation of the cursor by a certain amount (±15°, ±30°, and ±45°) around the starting position (single-cursor condition) or rotation of two cursors by different angles (+15° and -45°, 0° and 30°, etc.) that were presented simultaneously (double-cursor condition). We evaluated the aftereffects of each condition in the subsequent trial. The error sensitivity (ratio of the aftereffect to the imposed visual rotation) in the single-cursor trials decayed with the amount of rotation, indicating that the motor learning system relied to a greater extent on smaller errors. In the double-cursor trials, we obtained a coefficient that represented the degree to which each of the visual rotations contributed to the aftereffects based on the assumption that the observed aftereffects were a result of the weighted summation of the influences of the imposed visual rotations. The decaying pattern according to the amount of rotation was maintained in the coefficient of each imposed visual rotation in the double-cursor trials, but the value was reduced to approximately 40% of the corresponding error sensitivity in the single-cursor trials. We also found a further reduction of the coefficients when three distinct cursors were presented (e.g., -15°, 15°, and 30°). These results indicated that the motor learning system utilized multiple sources of visual error information simultaneously to correct subsequent movement and that a certain averaging mechanism might be at work in the utilization process.

Correlation between audiovestibular function tests and hearing outcomes in severe to profound sudden sensorineural hearing loss.

Science.gov (United States)

Wang, Chi-Te; Huang, Tsung-Wei; Kuo, Shih-Wei; Cheng, Po-Wen

2009-02-01

This study investigated whether audiovestibular function tests, namely auditory brain stem response (ABR) and vestibular-evoked myogenic potential (VEMP) tests were correlated to hearing outcomes after controlling the effects of other potential confounding factors in severe to profound sudden sensorineural hearing loss (SSHL). Eighty-eight patients with severe to profound SSHL were enrolled in this study. Pretreatment hearing levels, results of audiovestibular function tests, and final hearing outcomes were recorded from retrospective chart reviews. Other factors, including age, gender, delay of treatment, vertigo, diabetes mellitus, and hypertension, were collected as well. Comparative analysis between multiple variables and hearing outcomes was conducted using the cumulative logits model in overall subjects. Further, multivariate analysis of prognostic factors was conducted in the stratified groups of severe (70 dB HL 90 dB HL) SSHL. Multivariate analysis showed that pretreatment hearing levels, presence of vertigo, and results of ABR and VEMP testing were significant outcome predictors in the overall subjects. Stratification analysis demonstrated that both the presence of ABR and VEMP waveforms were significantly correlated with better hearing outcomes in the group of severe SSHL [ABR: adjusted odds ratio (aOR) = 14.7, 95% confidence interval (CI) = 1.78 to 122, p = 0.01; VEMP: aOR = 5.91, 95% CI = 1.18 to 29.5, p = 0.03], whereas the presence of vertigo was the only significant negative prognostic factor in the group of profound SSHL (aOR = 0.24, 95% CI = 0.06 to 0.95, p = 0.04). Other variables, including age, gender, diabetes mellitus, hypertension, and delay of treatment, were not significantly related to hearing outcomes in both groups (p > 0.05). A predictive hearing recovery table with the combined ABR and VEMP results was proposed for the group of severe SSHL. ABR and VEMP tests should be included in the battery of neurootological examinations in

A Neural Network Model to Learn Multiple Tasks under Dynamic Environments

Science.gov (United States)

Tsumori, Kenji; Ozawa, Seiichi

When environments are dynamically changed for agents, the knowledge acquired in an environment might be useless in future. In such dynamic environments, agents should be able to not only acquire new knowledge but also modify old knowledge in learning. However, modifying all knowledge acquired before is not efficient because the knowledge once acquired may be useful again when similar environment reappears and some knowledge can be shared among different environments. To learn efficiently in such environments, we propose a neural network model that consists of the following modules: resource allocating network, long-term & short-term memory, and environment change detector. We evaluate the model under a class of dynamic environments where multiple function approximation tasks are sequentially given. The experimental results demonstrate that the proposed model possesses stable incremental learning, accurate environmental change detection, proper association and recall of old knowledge, and efficient knowledge transfer.

Multiple Kernel Learning for adaptive graph regularized nonnegative matrix factorization

KAUST Repository

Wang, Jim Jing-Yan; AbdulJabbar, Mustafa Abdulmajeed

2012-01-01

Nonnegative Matrix Factorization (NMF) has been continuously evolving in several areas like pattern recognition and information retrieval methods. It factorizes a matrix into a product of 2 low-rank non-negative matrices that will define parts-based, and linear representation of non-negative data. Recently, Graph regularized NMF (GrNMF) is proposed to find a compact representation, which uncovers the hidden semantics and simultaneously respects the intrinsic geometric structure. In GNMF, an affinity graph is constructed from the original data space to encode the geometrical information. In this paper, we propose a novel idea which engages a Multiple Kernel Learning approach into refining the graph structure that reflects the factorization of the matrix and the new data space. The GrNMF is improved by utilizing the graph refined by the kernel learning, and then a novel kernel learning method is introduced under the GrNMF framework. Our approach shows encouraging results of the proposed algorithm in comparison to the state-of-the-art clustering algorithms like NMF, GrNMF, SVD etc.

Pre-Language Activities for the Profoundly Mentally Retarded.

Science.gov (United States)

Poole, Marilyn R.; And Others

Provided are sample lesson plans for a program to develop pre-language skills in profoundly retarded children and adults. Characteristic of the suggested activities is the stimulation of all sensory channels through structured infant-like play activities in five general areas: oral stimulation, sensory arousal, motor stimulation, vocal play, and…

The Learning Styles and Multiple Intelligences of EFL College Students in Kuwait

Science.gov (United States)

Alrabah, Sulaiman; Wu, Shu-hua; Alotaibi, Abdullah M.

2018-01-01

The study aimed to investigate the learning styles and multiple intelligences of English as foreign language (EFL) college-level students. "Convenience sampling" (Patton, 2015) was used to collect data from a population of 250 students enrolled in seven different academic departments at the College of Basic Education in Kuwait. The data…

The Relationship between Multiplication Fact Speed-Recall and Fluency and Higher Level Mathematics Learning with Eighth Grade Middle School Students

Science.gov (United States)

Curry, Steven James

2012-01-01

This quantitative study investigated relationships between higher level mathematics learning and multiplication fact fluency, multiplication fact speed-recall, and reading grade equivalency of eighth grade students in Algebra I and Pre-Algebra. Higher level mathematics learning was indicated by an average score of 80% or higher on first and second…

Learning with multiple representations: an example of a revision lesson in mechanics

Science.gov (United States)

Wong, Darren; Poo, Sng Peng; Eng Hock, Ng; Loo Kang, Wee

2011-03-01

We describe an example of learning with multiple representations in an A-level revision lesson on mechanics. The context of the problem involved the motion of a ball thrown vertically upwards in air and studying how the associated physical quantities changed during its flight. Different groups of students were assigned to look at the ball's motion using various representations: motion diagrams, vector diagrams, free-body diagrams, verbal description, equations and graphs, drawn against time as well as against displacement. Overall, feedback from students about the lesson was positive. We further discuss the benefits of using computer simulation to support and extend student learning.

Learning Effects of Interactive Whiteboard Pedagogy for Students in Taiwan from the Perspective of Multiple Intelligences

Science.gov (United States)

Chen, Hong-Ren; Chiang, Chih-Hao; Lin, Wen-Shan

2013-01-01

With the rapid progress in information technology, interactive whiteboards have become IT-integrated in teaching activities. The theory of multiple intelligences argues that every person possesses multiple intelligences, emphasizing learners' cognitive richness and the possible role of these differences in enhanced learning. This study is the…

Integrating Multiple Intelligences and Learning Styles on Solving Problems, Achievement in, and Attitudes towards Math in Six Graders with Learning Disabilities in Cooperative Groups

Science.gov (United States)

Eissa, Mourad Ali; Mostafa, Amaal Ahmed

2013-01-01

This study investigated the effect of using differentiated instruction by integrating multiple intelligences and learning styles on solving problems, achievement in, and attitudes towards math in six graders with learning disabilities in cooperative groups. A total of 60 students identified with LD were invited to participate. The sample was…

The Role of CLEAR Thinking in Learning Science from Multiple-Document Inquiry Tasks

Directory of Open Access Journals (Sweden)

Thomas D. GRIFFIN

2012-10-01

Full Text Available The main goal for the current study was to investigate whether individual differences in domaingeneral thinking dispositions might affect learning from multiple-document inquiry tasks in science.Middle school students were given a set of documents and were tasked with understanding how and why recent patterns in global temperature might be different from what has been observed in the past from those documents. Understanding was assessed with two measures: an essay task and an inference verification task. Domain-general thinking dispositions were assessed with a Commitment to Logic, Evidence, and Reasoning (CLEAR thinking scale. The measures of understanding wereuniquely predicted by both reading skills and CLEAR thinking scores, and these effects were not attributable to prior knowledge or interest. The results suggest independent roles for thinkingdispositions and reading ability when students read to learn from multiple-document inquiry tasks in science.

Evaluation of a Multiple-Stimulus Presentation Format for Assessing Reinforcer Preferences.

Science.gov (United States)

DeLeon, Iser G.; Iwata, Brian A.

1996-01-01

A study of seven adults with profound developmental disabilities compared methods for presenting stimuli during reinforcer-preference assessments. It found that a multiple-stimulus format in which selections were made without replacement may share the advantages of a paired-stimulus format and a multiple-stimulus format with replacement, while…

CLASS-PAIR-GUIDED MULTIPLE KERNEL LEARNING OF INTEGRATING HETEROGENEOUS FEATURES FOR CLASSIFICATION

Directory of Open Access Journals (Sweden)

Q. Wang

2017-10-01

Full Text Available In recent years, many studies on remote sensing image classification have shown that using multiple features from different data sources can effectively improve the classification accuracy. As a very powerful means of learning, multiple kernel learning (MKL can conveniently be embedded in a variety of characteristics. The conventional combined kernel learned by MKL can be regarded as the compromise of all basic kernels for all classes in classification. It is the best of the whole, but not optimal for each specific class. For this problem, this paper proposes a class-pair-guided MKL method to integrate the heterogeneous features (HFs from multispectral image (MSI and light detection and ranging (LiDAR data. In particular, the one-against-one strategy is adopted, which converts multiclass classification problem to a plurality of two-class classification problem. Then, we select the best kernel from pre-constructed basic kernels set for each class-pair by kernel alignment (KA in the process of classification. The advantage of the proposed method is that only the best kernel for the classification of any two classes can be retained, which leads to greatly enhanced discriminability. Experiments are conducted on two real data sets, and the experimental results show that the proposed method achieves the best performance in terms of classification accuracies in integrating the HFs for classification when compared with several state-of-the-art algorithms.

Music Training for Severely and Profoundly Retarded Individuals.

Science.gov (United States)

Kesler, Buford; Richmond, Bert O.

Investigated were the effects of sex, ability and training method on the musical instrument playing ability of 16 institutionalized severely and profoundly retarded persons ages 7 to 20 years. Ss were randomly assigned to one of four treatment groups, and the time required to reach criterion playing a familiar tune was recorded. Data indicated…

DL-sQUAL: A Multiple-Item Scale for Measuring Service Quality of Online Distance Learning Programs

Science.gov (United States)

Shaik, Naj; Lowe, Sue; Pinegar, Kem

2006-01-01

Education is a service with multiplicity of student interactions over time and across multiple touch points. Quality teaching needs to be supplemented by consistent quality supporting services for programs to succeed under the competitive distance learning landscape. ServQual and e-SQ scales have been proposed for measuring quality of traditional…

Coordinated learning of grid cell and place cell spatial and temporal properties: multiple scales, attention and oscillations.

Science.gov (United States)

Grossberg, Stephen; Pilly, Praveen K

2014-02-05

A neural model proposes how entorhinal grid cells and hippocampal place cells may develop as spatial categories in a hierarchy of self-organizing maps (SOMs). The model responds to realistic rat navigational trajectories by learning both grid cells with hexagonal grid firing fields of multiple spatial scales, and place cells with one or more firing fields, that match neurophysiological data about their development in juvenile rats. Both grid and place cells can develop by detecting, learning and remembering the most frequent and energetic co-occurrences of their inputs. The model's parsimonious properties include: similar ring attractor mechanisms process linear and angular path integration inputs that drive map learning; the same SOM mechanisms can learn grid cell and place cell receptive fields; and the learning of the dorsoventral organization of multiple spatial scale modules through medial entorhinal cortex to hippocampus (HC) may use mechanisms homologous to those for temporal learning through lateral entorhinal cortex to HC ('neural relativity'). The model clarifies how top-down HC-to-entorhinal attentional mechanisms may stabilize map learning, simulates how hippocampal inactivation may disrupt grid cells, and explains data about theta, beta and gamma oscillations. The article also compares the three main types of grid cell models in the light of recent data.

Multiple kernel learning using single stage function approximation for binary classification problems

Science.gov (United States)

Shiju, S.; Sumitra, S.

2017-12-01

In this paper, the multiple kernel learning (MKL) is formulated as a supervised classification problem. We dealt with binary classification data and hence the data modelling problem involves the computation of two decision boundaries of which one related with that of kernel learning and the other with that of input data. In our approach, they are found with the aid of a single cost function by constructing a global reproducing kernel Hilbert space (RKHS) as the direct sum of the RKHSs corresponding to the decision boundaries of kernel learning and input data and searching that function from the global RKHS, which can be represented as the direct sum of the decision boundaries under consideration. In our experimental analysis, the proposed model had shown superior performance in comparison with that of existing two stage function approximation formulation of MKL, where the decision functions of kernel learning and input data are found separately using two different cost functions. This is due to the fact that single stage representation helps the knowledge transfer between the computation procedures for finding the decision boundaries of kernel learning and input data, which inturn boosts the generalisation capacity of the model.

Learning with Multiple Representations: An Example of a Revision Lesson in Mathematics

Science.gov (United States)

Wong, Darren; Poo, Sng Peng; Hock, Ng Eng; Kang, Wee Loo

2011-01-01

We describe an example of learning with multiple representations in an A-level revision lesson on mechanics. The context of the problem involved the motion of a ball thrown vertically upwards in air and studying how the associated physical quantities changed during its flight. Different groups of students were assigned to look at the ball's motion…

Triple-loop learning as foundation for profound change, individual cultivation, and radical innovation. Construction processes beyond scientific and rational knowledge.

OpenAIRE

Peschl, Markus F.

2007-01-01

Purpose: Ernst von Glasersfeld’s question concerning the relationship between scientific/ rational knowledge and the domain of wisdom and how these forms of knowledge come about is the starting point. This article aims at developing an epistemological as well as methodological framework that is capable of explaining how profound change can be brought about in various contexts, such as in individual cultivation, in organizations, in processes of radical innovation, etc. This fra...

Motor imagery learning modulates functional connectivity of multiple brain systems in resting state.

Science.gov (United States)

Zhang, Hang; Long, Zhiying; Ge, Ruiyang; Xu, Lele; Jin, Zhen; Yao, Li; Liu, Yijun

2014-01-01

Learning motor skills involves subsequent modulation of resting-state functional connectivity in the sensory-motor system. This idea was mostly derived from the investigations on motor execution learning which mainly recruits the processing of sensory-motor information. Behavioral evidences demonstrated that motor skills in our daily lives could be learned through imagery procedures. However, it remains unclear whether the modulation of resting-state functional connectivity also exists in the sensory-motor system after motor imagery learning. We performed a fMRI investigation on motor imagery learning from resting state. Based on previous studies, we identified eight sensory and cognitive resting-state networks (RSNs) corresponding to the brain systems and further explored the functional connectivity of these RSNs through the assessments, connectivity and network strengths before and after the two-week consecutive learning. Two intriguing results were revealed: (1) The sensory RSNs, specifically sensory-motor and lateral visual networks exhibited greater connectivity strengths in precuneus and fusiform gyrus after learning; (2) Decreased network strength induced by learning was proved in the default mode network, a cognitive RSN. These results indicated that resting-state functional connectivity could be modulated by motor imagery learning in multiple brain systems, and such modulation displayed in the sensory-motor, visual and default brain systems may be associated with the establishment of motor schema and the regulation of introspective thought. These findings further revealed the neural substrates underlying motor skill learning and potentially provided new insights into the therapeutic benefits of motor imagery learning.

Semi-Cooperative Learning in Smart Grid Agents

Science.gov (United States)

2013-12-01

this PhD program , but watching you grow has only made me realize how much more awesome human learning is. You have been a source of profound joy and...which should alleviate concern for scala - bility along this dimension. • Learning the negotiation model: Figure 6.23 shows single-episode results that...for Semi-cooperative Multi-agent Coordination. In IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning . [Prendergast, 1999

Unsupervised multiple kernel learning for heterogeneous data integration.

Science.gov (United States)

Mariette, Jérôme; Villa-Vialaneix, Nathalie

2018-03-15

Recent high-throughput sequencing advances have expanded the breadth of available omics datasets and the integrated analysis of multiple datasets obtained on the same samples has allowed to gain important insights in a wide range of applications. However, the integration of various sources of information remains a challenge for systems biology since produced datasets are often of heterogeneous types, with the need of developing generic methods to take their different specificities into account. We propose a multiple kernel framework that allows to integrate multiple datasets of various types into a single exploratory analysis. Several solutions are provided to learn either a consensus meta-kernel or a meta-kernel that preserves the original topology of the datasets. We applied our framework to analyse two public multi-omics datasets. First, the multiple metagenomic datasets, collected during the TARA Oceans expedition, was explored to demonstrate that our method is able to retrieve previous findings in a single kernel PCA as well as to provide a new image of the sample structures when a larger number of datasets are included in the analysis. To perform this analysis, a generic procedure is also proposed to improve the interpretability of the kernel PCA in regards with the original data. Second, the multi-omics breast cancer datasets, provided by The Cancer Genome Atlas, is analysed using a kernel Self-Organizing Maps with both single and multi-omics strategies. The comparison of these two approaches demonstrates the benefit of our integration method to improve the representation of the studied biological system. Proposed methods are available in the R package mixKernel, released on CRAN. It is fully compatible with the mixOmics package and a tutorial describing the approach can be found on mixOmics web site http://mixomics.org/mixkernel/. jerome.mariette@inra.fr or nathalie.villa-vialaneix@inra.fr. Supplementary data are available at Bioinformatics online.

The Validity of the earth and space science learning materials with orientation on multiple intelligences and character education

Science.gov (United States)

Liliawati, W.; Utama, J. A.; Ramalis, T. R.; Rochman, A. A.

2018-03-01

Validation of the Earth and Space Science learning the material in the chapter of the Earth's Protector based on experts (media & content expert and practitioners) and junior high school students' responses are presented. The data came from the development phase of the 4D method (Define, Design, Develop, Dissemination) which consist of two steps: expert appraisal and developmental testing. The instrument employed is rubric of suitability among the book contents with multiple intelligences activities, character education, a standard of book assessment, a questionnaires and close procedure. The appropriateness of the book contents with multiple intelligences, character education and standard of book assessment is in a good category. Meanwhile, students who used the book in their learning process gave a highly positive response; the book was easy to be understood. In general, the result of cloze procedure indicates high readability of the book. As our conclusion is the book chapter of the Earth's Protector can be used as a learning material accommodating students’ multiple intelligences and character internalization.

Self-Concept of Severely to Profoundly Hearing-Impaired Children.

Science.gov (United States)

Warren, Charlotte; Hasenstab, Suzanne

1986-01-01

A study examined demographic, impairment-related, and parental variables that best predicted self-concept among 49 severely to profoundly hearing-impaired 5- to 11-year-olds. A strong relationship was observed between self-concept and parental indulgence, parental rejection, parental protection, parental discipline, and extent of language…

Creating aesthetically resonant environments for the handicapped, elderly and rehabilitation: Sweden

DEFF Research Database (Denmark)

Brooks, Tony; Hasselblad, Stefan

2005-01-01

CARE HERE (Creating Aesthetically Resonant Environments for the Handicapped, Elderly and Rehabilitation) was realised as a full European IST (Information Society Technologies) project, involving adults and children with learning disability, PMLD (Profound and Multiple Learning Disability...

Music mnemonics aid Verbal Memory and Induce Learning – Related Brain Plasticity in Multiple Sclerosis

OpenAIRE

Thaut, Michael H.; Peterson, David A.; McIntosh, Gerald C.; Hoemberg, Volker

2014-01-01

Recent research on music and brain function has suggested that the temporal pattern structure in music and rhythm can enhance cognitive functions. To further elucidate this question specifically for memory, we investigated if a musical template can enhance verbal learning in patients with multiple sclerosis (MS) and if music-assisted learning will also influence short-term, system-level brain plasticity. We measured systems-level brain activity with oscillatory network synchronization during ...

Paired-Associate and Feedback-Based Weather Prediction Tasks Support Multiple Category Learning Systems.

Science.gov (United States)

Li, Kaiyun; Fu, Qiufang; Sun, Xunwei; Zhou, Xiaoyan; Fu, Xiaolan

2016-01-01

It remains unclear whether probabilistic category learning in the feedback-based weather prediction task (FB-WPT) can be mediated by a non-declarative or procedural learning system. To address this issue, we compared the effects of training time and verbal working memory, which influence the declarative learning system but not the non-declarative learning system, in the FB and paired-associate (PA) WPTs, as the PA task recruits a declarative learning system. The results of Experiment 1 showed that the optimal accuracy in the PA condition was significantly decreased when the training time was reduced from 7 to 3 s, but this did not occur in the FB condition, although shortened training time impaired the acquisition of explicit knowledge in both conditions. The results of Experiment 2 showed that the concurrent working memory task impaired the optimal accuracy and the acquisition of explicit knowledge in the PA condition but did not influence the optimal accuracy or the acquisition of self-insight knowledge in the FB condition. The apparent dissociation results between the FB and PA conditions suggested that a non-declarative or procedural learning system is involved in the FB-WPT and provided new evidence for the multiple-systems theory of human category learning.

Attributional Style and Depression in Multiple Sclerosis: The Learned Helplessness Model

OpenAIRE

Vargas, Gray A.; Arnett, Peter A.

2013-01-01

Several etiologic theories have been proposed to explain depression in the general population. Studying these models and modifying them for use in the multiple sclerosis (MS) population may allow us to better understand depression in MS. According to the reformulated learned helplessness (LH) theory, individuals who attribute negative events to internal, stable, and global causes are more vulnerable to depression. This study differentiated attributional style that was or was not related to MS...

Evaluating groups in learning disabilities.

Science.gov (United States)

Chia, S H

Groupwork can be effective in meeting a range of needs presented by students with profound learning disabilities. This article describes the process involved in setting up groups for these students, and includes examples of a group session and methods for evaluating groupwork.

Motor Imagery Learning Modulates Functional Connectivity of Multiple Brain Systems in Resting State

Science.gov (United States)

Zhang, Hang; Long, Zhiying; Ge, Ruiyang; Xu, Lele; Jin, Zhen; Yao, Li; Liu, Yijun

2014-01-01

Background Learning motor skills involves subsequent modulation of resting-state functional connectivity in the sensory-motor system. This idea was mostly derived from the investigations on motor execution learning which mainly recruits the processing of sensory-motor information. Behavioral evidences demonstrated that motor skills in our daily lives could be learned through imagery procedures. However, it remains unclear whether the modulation of resting-state functional connectivity also exists in the sensory-motor system after motor imagery learning. Methodology/Principal Findings We performed a fMRI investigation on motor imagery learning from resting state. Based on previous studies, we identified eight sensory and cognitive resting-state networks (RSNs) corresponding to the brain systems and further explored the functional connectivity of these RSNs through the assessments, connectivity and network strengths before and after the two-week consecutive learning. Two intriguing results were revealed: (1) The sensory RSNs, specifically sensory-motor and lateral visual networks exhibited greater connectivity strengths in precuneus and fusiform gyrus after learning; (2) Decreased network strength induced by learning was proved in the default mode network, a cognitive RSN. Conclusions/Significance These results indicated that resting-state functional connectivity could be modulated by motor imagery learning in multiple brain systems, and such modulation displayed in the sensory-motor, visual and default brain systems may be associated with the establishment of motor schema and the regulation of introspective thought. These findings further revealed the neural substrates underlying motor skill learning and potentially provided new insights into the therapeutic benefits of motor imagery learning. PMID:24465577

DMPD: Gram-negative endotoxin: an extraordinary lipid with profound effects oneukaryotic signal transduction. [Dynamic Macrophage Pathway CSML Database

Lifescience Database Archive (English)

Full Text Available 1916089 Gram-negative endotoxin: an extraordinary lipid with profound effects oneuk...ep;5(12):2652-60. (.png) (.svg) (.html) (.csml) Show Gram-negative endotoxin: an extraordinary lipid with profound effects...tive endotoxin: an extraordinary lipid with profound effects oneukaryotic signal transduction. Authors Raetz

A Novel Extreme Learning Machine Classification Model for e-Nose Application Based on the Multiple Kernel Approach.

Science.gov (United States)

Jian, Yulin; Huang, Daoyu; Yan, Jia; Lu, Kun; Huang, Ying; Wen, Tailai; Zeng, Tanyue; Zhong, Shijie; Xie, Qilong

2017-06-19

A novel classification model, named the quantum-behaved particle swarm optimization (QPSO)-based weighted multiple kernel extreme learning machine (QWMK-ELM), is proposed in this paper. Experimental validation is carried out with two different electronic nose (e-nose) datasets. Being different from the existing multiple kernel extreme learning machine (MK-ELM) algorithms, the combination coefficients of base kernels are regarded as external parameters of single-hidden layer feedforward neural networks (SLFNs). The combination coefficients of base kernels, the model parameters of each base kernel, and the regularization parameter are optimized by QPSO simultaneously before implementing the kernel extreme learning machine (KELM) with the composite kernel function. Four types of common single kernel functions (Gaussian kernel, polynomial kernel, sigmoid kernel, and wavelet kernel) are utilized to constitute different composite kernel functions. Moreover, the method is also compared with other existing classification methods: extreme learning machine (ELM), kernel extreme learning machine (KELM), k-nearest neighbors (KNN), support vector machine (SVM), multi-layer perceptron (MLP), radical basis function neural network (RBFNN), and probabilistic neural network (PNN). The results have demonstrated that the proposed QWMK-ELM outperforms the aforementioned methods, not only in precision, but also in efficiency for gas classification.

Persistent Thalamic Sound Processing Despite Profound Cochlear Denervation

Directory of Open Access Journals (Sweden)

Anna R. Chambers

2016-08-01

Full Text Available Neurons at higher stages of sensory processing can partially compensate for a sudden drop in input from the periphery through a homeostatic plasticity process that increases the gain on weak afferent inputs. Even after a profound unilateral auditory neuropathy where > 95% of synapses between auditory nerve fibers and inner hair cells have been eliminated with ouabain, central gain can restore the cortical processing and perceptual detection of basic sounds delivered to the denervated ear. In this model of profound auditory neuropathy, cortical processing and perception recover despite the absence of an auditory brainstem response (ABR or brainstem acoustic reflexes, and only a partial recovery of sound processing at the level of the inferior colliculus (IC, an auditory midbrain nucleus. In this study, we induced a profound cochlear neuropathy with ouabain and asked whether central gain enabled a compensatory plasticity in the auditory thalamus comparable to the full recovery of function previously observed in the auditory cortex (ACtx, the partial recovery observed in the IC, or something different entirely. Unilateral ouabain treatment in adult mice effectively eliminated the ABR, yet robust sound-evoked activity persisted in a minority of units recorded from the contralateral medial geniculate body (MGB of awake mice. Sound-driven MGB units could decode moderate and high-intensity sounds with accuracies comparable to sham-treated control mice, but low-intensity classification was near chance. Pure tone receptive fields and synchronization to broadband pulse trains also persisted, albeit with significantly reduced quality and precision, respectively. MGB decoding of temporally modulated pulse trains and speech tokens were both greatly impaired in ouabain-treated mice. Taken together, the absence of an ABR belied a persistent auditory processing at the level of the MGB that was likely enabled through increased central gain. Compensatory

The Role of CLEAR Thinking in Learning Science from Multiple-Document Inquiry Tasks

Science.gov (United States)

Griffin, Thomas D.; Wiley, Jennifer; Britt, M. Anne; Salas, Carlos R.

2012-01-01

The main goal for the current study was to investigate whether individual differences in domain-general thinking dispositions might affect learning from multiple-document inquiry tasks in science. Middle school students were given a set of documents and were tasked with understanding how and why recent patterns in global temperature might be…

Touching Mercury in Community Media: Identifying Multiple Literacy Learning through Digital Arts Production

Science.gov (United States)

Arndt, Angela E.

2011-01-01

Educational paradigm shifts call for 21st century learners to possess the knowledge, skills, abilities, values, and experiences associated with multiple forms of literacy in a participatory learning culture. Contemporary educational systems are slow to adapt. Outside of school, people have to be self-motivated and have access to resources in order…

Epidemiology of fractures in people with severe and profound developmental disabilities

Science.gov (United States)

Glick, N.R.; Fischer, M.H.; Heisey, D.M.; Leverson, G.E.; Mann, D.C.

2005-01-01

Fractures are more prevalent among people with severe and profound developmental disabilities than in the general population. In order to characterize the tendency of these people to fracture, and to identify features that may guide the development of preventive strategies, we analyzed fracture epidemiology in people with severe and profound developmental disabilities who lived in a stable environment. Data from a 23-year longitudinal cohort registry of 1434 people with severe and profound developmental disabilities were analyzed to determine the effects of age, gender, mobility, bone fractured, month of fracture, and fracture history upon fracture rates. Eighty-five percent of all fractures involved the extremities. The overall fracture rate increased as mobility increased. In contrast, femoral shaft fracture risk was substantially higher in the least mobile [relative risk (RR), 10.36; 95% confidence interval (CI), 3.29-32.66] compared with the most mobile group. Although the overall fracture rate was not associated with age, the femoral shaft fractures decreased but hand/foot fractures increased with age. Overall fracture risk declined in August and September (RR, 0.70; 95% CI, 0.55-0.89), being especially prominent for tibial/fibular fractures (RR, 0.31; 95% CI, 0.13-0.70). Gender was not a factor in fracture risk. Two primary fracture mechanisms are apparent: one, largely associated with lack of weight-bearing in people with the least mobility, is exemplified by femoral fractures during non-traumatic events as simple as diapering or transfers; the other, probably due to movement- or fall-related trauma, is exemplified by hand/foot fractures in people who ambulate. The fracture experience of people with severe and profound developmental disabilities is unique and, because it differs qualitatively from postmenopausal osteoporosis, may require population-specific methods for assessing risk, for improving bone integrity, and for reduction of falls and accidents

Exploration of machine learning techniques in predicting multiple sclerosis disease course

OpenAIRE

Zhao, Yijun; Healy, Brian C.; Rotstein, Dalia; Guttmann, Charles R. G.; Bakshi, Rohit; Weiner, Howard L.; Brodley, Carla E.; Chitnis, Tanuja

2017-01-01

Objective To explore the value of machine learning methods for predicting multiple sclerosis disease course. Methods 1693 CLIMB study patients were classified as increased EDSS?1.5 (worsening) or not (non-worsening) at up to five years after baseline visit. Support vector machines (SVM) were used to build the classifier, and compared to logistic regression (LR) using demographic, clinical and MRI data obtained at years one and two to predict EDSS at five years follow-up. Results Baseline data...

The Relationship between Perceptual Learning Style Preferences and Multiple Intelligences among Iranian EFL Learners

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Baleghizadeh, Sasan; Shayeghi, Rose

2014-01-01

The purpose of the present study is to investigate the relationships between preferences of Multiple Intelligences and perceptual/social learning styles. Two self-report questionnaires were administered to a total of 207 male and female participants. Pearson correlation results revealed statistically significant positive relations between…

Perceptual learning.

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Seitz, Aaron R

2017-07-10

Perceptual learning refers to how experience can change the way we perceive sights, sounds, smells, tastes, and touch. Examples abound: music training improves our ability to discern tones; experience with food and wines can refine our pallet (and unfortunately more quickly empty our wallet), and with years of training radiologists learn to save lives by discerning subtle details of images that escape the notice of untrained viewers. We often take perceptual learning for granted, but it has a profound impact on how we perceive the world. In this Primer, I will explain how perceptual learning is transformative in guiding our perceptual processes, how research into perceptual learning provides insight into fundamental mechanisms of learning and brain processes, and how knowledge of perceptual learning can be used to develop more effective training approaches for those requiring expert perceptual skills or those in need of perceptual rehabilitation (such as individuals with poor vision). I will make a case that perceptual learning is ubiquitous, scientifically interesting, and has substantial practical utility to us all. Copyright © 2017. Published by Elsevier Ltd.

Classification of multiple sclerosis lesions using adaptive dictionary learning.

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Deshpande, Hrishikesh; Maurel, Pierre; Barillot, Christian

2015-12-01

This paper presents a sparse representation and an adaptive dictionary learning based method for automated classification of multiple sclerosis (MS) lesions in magnetic resonance (MR) images. Manual delineation of MS lesions is a time-consuming task, requiring neuroradiology experts to analyze huge volume of MR data. This, in addition to the high intra- and inter-observer variability necessitates the requirement of automated MS lesion classification methods. Among many image representation models and classification methods that can be used for such purpose, we investigate the use of sparse modeling. In the recent years, sparse representation has evolved as a tool in modeling data using a few basis elements of an over-complete dictionary and has found applications in many image processing tasks including classification. We propose a supervised classification approach by learning dictionaries specific to the lesions and individual healthy brain tissues, which include white matter (WM), gray matter (GM) and cerebrospinal fluid (CSF). The size of the dictionaries learned for each class plays a major role in data representation but it is an even more crucial element in the case of competitive classification. Our approach adapts the size of the dictionary for each class, depending on the complexity of the underlying data. The algorithm is validated using 52 multi-sequence MR images acquired from 13 MS patients. The results demonstrate the effectiveness of our approach in MS lesion classification. Copyright © 2015 Elsevier Ltd. All rights reserved.

Using Combinatorial Approach to Improve Students' Learning of the Distributive Law and Multiplicative Identities

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Tsai, Yu-Ling; Chang, Ching-Kuch

2009-01-01

This article reports an alternative approach, called the combinatorial model, to learning multiplicative identities, and investigates the effects of implementing results for this alternative approach. Based on realistic mathematics education theory, the new instructional materials or modules of the new approach were developed by the authors. From…

Travel and Adult Transformative Learning

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Lindstrom, Steven K.

2011-01-01

This phenomenological research study examines the lived experience of individual adult transformation in the context of travel. Adults throughout history have experienced profound personal and perception changes as a result of significant travel events. Transformative learning occurs through experience, crisis, and reflection, all of which are…

Gaussian Multiple Instance Learning Approach for Mapping the Slums of the World Using Very High Resolution Imagery

Energy Technology Data Exchange (ETDEWEB)

Vatsavai, Raju [ORNL

2013-01-01

In this paper, we present a computationally efficient algo- rithm based on multiple instance learning for mapping infor- mal settlements (slums) using very high-resolution remote sensing imagery. From remote sensing perspective, infor- mal settlements share unique spatial characteristics that dis- tinguish them from other urban structures like industrial, commercial, and formal residential settlements. However, regular pattern recognition and machine learning methods, which are predominantly single-instance or per-pixel classi- fiers, often fail to accurately map the informal settlements as they do not capture the complex spatial patterns. To overcome these limitations we employed a multiple instance based machine learning approach, where groups of contigu- ous pixels (image patches) are modeled as generated by a Gaussian distribution. We have conducted several experi- ments on very high-resolution satellite imagery, represent- ing four unique geographic regions across the world. Our method showed consistent improvement in accurately iden- tifying informal settlements.

Organisation Learners' Competence to Overcome Organisation's Learning Inertia: A Conceptual Framework

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Arunprasad, P.

2015-01-01

This paper identifies the interrelationship between the organisational learning (OL) characteristics, strategic human resource management (HRM) practices and the corresponding learning outcome for a sustained competitive advantage (SCA). Through a profound literature review, first, the knowledge assets (human capital), OL and strategic HRM are…

An Empirical Examination of the Association between Multiple Intelligences and Language Learning Self-Efficacy among TEFL University Students

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Moafian, Fatemeh; Ebrahimi, Mohammad Reza

2015-01-01

The current study investigated the association between multiple intelligences and language learning efficacy expectations among TEFL (Teaching English as a Foreign Language) university students. To fulfill the aim of the study, 108 junior and senior TEFL students were asked to complete the "Multiple Intelligence Developmental Assessment…

Learned helplessness, discouraged workers, and multiple unemployment equilibria in a search model

OpenAIRE

Bjørnstad, Roger

2001-01-01

Abstract: Unemployment varies strongly between countries with comparable economic structure. Some economists have tried to explain these differences with institutional differences in the labour market. Instead, this paper focuses on a model with multiple equilibria so that the same socioeconomic structure can give rise to different levels of unemployment. Unemployed workers' search efficiency are modelled within an equilibrium search model and lay behind these results. In the model learned...

Inference and learning in sparse systems with multiple states

International Nuclear Information System (INIS)

Braunstein, A.; Ramezanpour, A.; Zhang, P.; Zecchina, R.

2011-01-01

We discuss how inference can be performed when data are sampled from the nonergodic phase of systems with multiple attractors. We take as a model system the finite connectivity Hopfield model in the memory phase and suggest a cavity method approach to reconstruct the couplings when the data are separately sampled from few attractor states. We also show how the inference results can be converted into a learning protocol for neural networks in which patterns are presented through weak external fields. The protocol is simple and fully local, and is able to store patterns with a finite overlap with the input patterns without ever reaching a spin-glass phase where all memories are lost.

Multiple-Choice Testing Using Immediate Feedback--Assessment Technique (IF AT®) Forms: Second-Chance Guessing vs. Second-Chance Learning?

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Merrel, Jeremy D.; Cirillo, Pier F.; Schwartz, Pauline M.; Webb, Jeffrey A.

2015-01-01

Multiple choice testing is a common but often ineffective method for evaluating learning. A newer approach, however, using Immediate Feedback Assessment Technique (IF AT®, Epstein Educational Enterprise, Inc.) forms, offers several advantages. In particular, a student learns immediately if his or her answer is correct and, in the case of an…

Influence of Formal Education on Cognitive Reserve in Patients with Multiple Sclerosis.

Science.gov (United States)

Luerding, Ralf; Gebel, Sophie; Gebel, Eva-Maria; Schwab-Malek, Susanne; Weissert, Robert

2016-01-01

The concept of cognitive reserve (CR) and its influence on cognitive impairment has attracted increasing interest. One hundred twenty-eight patients with multiple sclerosis (MS) from Southern Germany were evaluated during the years 2000 to 2012. Twenty-seven neuropsychological (NP) tests were applied regarding basic cognitive functions, attention, executive functions, visual perception and construction, memory and learning, problem solving, and language. By this retrospective approach, a comprehensive NP profile of the investigated individuals was established. An effect of timespan of formal education on CR was observed. Enrichment by reading, physical activities, and challenging vocational practices had more profound effects in patients who had undergone a shorter educational period compared to a longer educational period. In summary, our study demonstrates that the advantage of longer formal education periods, compared to shorter formal education periods, can be counterbalanced by high frequencies of reading, physical activities, and challenging vocational practices in patients with MS.

Influence of formal education on cognitive reserve in patients with multiple sclerosis

Directory of Open Access Journals (Sweden)

Ralf eLürding

2016-03-01

Full Text Available The concept of cognitive reserve (CR and its influence on cognitive impairment (CI has attracted increasing interest. 128 patients with multiple sclerosis (MS from Southern Germany were evaluated during the years 2000 to 2012. 27 neuropsychological (NP tests were applied regarding Basic Cognitive Functions, Attention, Executive Functions, Visual Perception and Construction, Memory and Learning, Problem Solving, and Language. By this retrospective approach, a comprehensive neuropsychological profile of the investigated individuals was established. An effect of timespan of formal education on CR was observed. Enrichment by reading, physical activities, and challenging vocational practices had more profound effects in patients who had undergone a shorter educational period compared to a longer educational period. In summary, our study demonstrates that the advantage of longer formal education periods, compared to shorter formal education periods, can be counterbalanced by high frequencies of reading, physical activities, and challenging vocational practices in patients with MS.

Ways of the Jam:Collective and improvisational perspectives on learning

OpenAIRE

Brinck, Lars

2014-01-01

In the PhD-dissertation Ways of the Jam I investigate jamming and learning as profoundly collective and improvisational matters. Bridging a theory of funk jamming with situated learning theoretical analyses of New Orleans second line, everyday leadership, and of a studio recording session demonstrate how looking at human activity from a jamming perspective enhances our understanding of learning as a complex collective and improvisational process. Ways of the Jam demonstrates how learning is a...

What Role do Metaphors Play in Game-Based Learning Processes?

DEFF Research Database (Denmark)

Henriksen, Thomas Duus

2014-01-01

This chapter explores the role played by metaphors in learning games and game-based learning processes. The aim is to contribute better understanding of the mechanisms of how such games contribute to learning and learning transfer. On the basis of an analytical strategy that emphasises metaphors...... as storylines, actors, acts and movement, three learning games are analysed in order to understand how learning emerges in association to game-embedded metaphors. As shown in this chapter, metaphors seem to play a profound role in game-based learning, both by providing participants with a suitcase containing...

Internet Based Learning (IBL) in Higher Education: A Literature Review

Science.gov (United States)

Yadav, Rajan; Tiruwa, Anurag; Suri, Pradeep Kumar

2017-01-01

Purpose: The growing use of internet-based learning (IBL) platforms in institutions of higher education is producing profound changes in the traditional teaching learning process worldwide. This paper aims to identify and understand the ways in which higher education institutions draw benefits by the use of such means, synthesizing the literature…

Reversal of profound vecuronium-induced neuromuscular block under sevoflurane anesthesia: sugammadex versus neostigmine.

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Lemmens Hendrikus JM

2010-09-01

Full Text Available Abstract Background Acetylcholinesterase inhibitors cannot rapidly reverse profound neuromuscular block. Sugammadex, a selective relaxant binding agent, reverses the effects of rocuronium and vecuronium by encapsulation. This study assessed the efficacy of sugammadex compared with neostigmine in reversal of profound vecuronium-induced neuromuscular block under sevoflurane anesthesia. Methods Patients aged ≥18 years, American Society of Anesthesiologists class 1-4, scheduled to undergo surgery under general anesthesia were enrolled in this phase III, multicenter, randomized, safety-assessor blinded study. Sevoflurane anesthetized patients received vecuronium 0.1 mg/kg for intubation, with maintenance doses of 0.015 mg/kg as required. Patients were randomized to receive sugammadex 4 mg/kg or neostigmine 70 μg/kg with glycopyrrolate 14 μg/kg at 1-2 post-tetanic counts. The primary efficacy variable was time from start of study drug administration to recovery of the train-of-four ratio to 0.9. Safety assessments included physical examination, laboratory data, vital signs, and adverse events. Results Eighty three patients were included in the intent-to-treat population (sugammadex, n = 47; neostigmine, n = 36. Geometric mean time to recovery of the train-of-four ratio to 0.9 was 15-fold faster with sugammadex (4.5 minutes compared with neostigmine (66.2 minutes; p Conclusions Recovery from profound vecuronium-induced block is significantly faster with sugammadex, compared with neostigmine. Neostigmine did not rapidly reverse profound neuromuscular block (Trial registration number: NCT00473694.

A Conceptual Framework for Error Remediation with Multiple External Representations Applied to Learning Objects

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Leite, Maici Duarte; Marczal, Diego; Pimentel, Andrey Ricardo; Direne, Alexandre Ibrahim

2014-01-01

This paper presents the application of some concepts of Intelligent Tutoring Systems (ITS) to elaborate a conceptual framework that uses the remediation of errors with Multiple External Representations (MERs) in Learning Objects (LO). To this is demonstrated a development of LO for teaching the Pythagorean Theorem through this framework. This…

A Prognostic Model for Development of Profound Shock among Children Presenting with Dengue Shock Syndrome.

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Phung Khanh Lam

Full Text Available To identify risk factors and develop a prediction model for the development of profound and recurrent shock amongst children presenting with dengue shock syndrome (DSS.We analyzed data from a prospective cohort of children with DSS recruited at the Paediatric Intensive Care Unit of the Hospital for Tropical Disease in Ho Chi Minh City, Vietnam. The primary endpoint was "profound DSS", defined as ≥2 recurrent shock episodes (for subjects presenting in compensated shock, or ≥1 recurrent shock episodes (for subjects presenting initially with decompensated/hypotensive shock, and/or requirement for inotropic support. Recurrent shock was evaluated as a secondary endpoint. Risk factors were pre-defined clinical and laboratory variables collected at the time of presentation with shock. Prognostic model development was based on logistic regression and compared to several alternative approaches.The analysis population included 1207 children of whom 222 (18% progressed to "profound DSS" and 433 (36% had recurrent shock. Independent risk factors for both endpoints included younger age, earlier presentation, higher pulse rate, higher temperature, higher haematocrit and, for females, worse hemodynamic status at presentation. The final prognostic model for "profound DSS" showed acceptable discrimination (AUC=0.69 for internal validation and calibration and is presented as a simple score-chart.Several risk factors for development of profound or recurrent shock among children presenting with DSS were identified. The score-chart derived from the prognostic models should improve triage and management of children presenting with DSS in dengue-endemic areas.

Factors which Motivate Job Acceptance and Profoundly Mentally Retarded Children.

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Marozas, Donald S.; May, Deborah C.

1980-01-01

The study involving 360 Pennsylvania teachers was designed to identify factors which motivate job acceptance among teachers of severely and profoundly mentally retarded children. The responses of 235 teachers indicated that challenge and practicum experiences were the two most prevalent motivational factors underlying job acceptance. (Author)

Problem solving based learning model with multiple representations to improve student's mental modelling ability on physics

Science.gov (United States)

Haili, Hasnawati; Maknun, Johar; Siahaan, Parsaoran

2017-08-01

Physics is a lessons that related to students' daily experience. Therefore, before the students studying in class formally, actually they have already have a visualization and prior knowledge about natural phenomenon and could wide it themselves. The learning process in class should be aimed to detect, process, construct, and use students' mental model. So, students' mental model agree with and builds in the right concept. The previous study held in MAN 1 Muna informs that in learning process the teacher did not pay attention students' mental model. As a consequence, the learning process has not tried to build students' mental modelling ability (MMA). The purpose of this study is to describe the improvement of students' MMA as a effect of problem solving based learning model with multiple representations approach. This study is pre experimental design with one group pre post. It is conducted in XI IPA MAN 1 Muna 2016/2017. Data collection uses problem solving test concept the kinetic theory of gasses and interview to get students' MMA. The result of this study is clarification students' MMA which is categorized in 3 category; High Mental Modelling Ability (H-MMA) for 7Mental Modelling Ability (M-MMA) for 3Mental Modelling Ability (L-MMA) for 0 ≤ x ≤ 3 score. The result shows that problem solving based learning model with multiple representations approach can be an alternative to be applied in improving students' MMA.

Parallel multiple instance learning for extremely large histopathology image analysis.

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Xu, Yan; Li, Yeshu; Shen, Zhengyang; Wu, Ziwei; Gao, Teng; Fan, Yubo; Lai, Maode; Chang, Eric I-Chao

2017-08-03

Histopathology images are critical for medical diagnosis, e.g., cancer and its treatment. A standard histopathology slice can be easily scanned at a high resolution of, say, 200,000×200,000 pixels. These high resolution images can make most existing imaging processing tools infeasible or less effective when operated on a single machine with limited memory, disk space and computing power. In this paper, we propose an algorithm tackling this new emerging "big data" problem utilizing parallel computing on High-Performance-Computing (HPC) clusters. Experimental results on a large-scale data set (1318 images at a scale of 10 billion pixels each) demonstrate the efficiency and effectiveness of the proposed algorithm for low-latency real-time applications. The framework proposed an effective and efficient system for extremely large histopathology image analysis. It is based on the multiple instance learning formulation for weakly-supervised learning for image classification, segmentation and clustering. When a max-margin concept is adopted for different clusters, we obtain further improvement in clustering performance.

Examination of the communication interface between students with severe to profound and multiple intellectual disability and educational staff during structured teaching sessions.

Science.gov (United States)

Bunning, K; Smith, C; Kennedy, P; Greenham, C

2013-01-01

Individuals with severe to profound and multiple intellectual disability (S-PMID) tend to function at the earlier stages of communication development. Variable and highly individual means of communicating may present challenges to the adults providing support in everyday life. The current study aimed to examine the communication interface between students with S-PMID and educational staff. An in-depth, observational study of dyadic interaction in a class within the secondary part of a special school was conducted. The designated educational level was Key Stage 3 under the National Curriculum of England, which is typically for children from age 11 to 14 years attending a state school. There were four student-teacher dyads in the class. The students had multiple impairments with severely limited communication skills. Video capture of dyadic interaction was conducted during five English lessons and sampled to 2.5 min per dyad per lesson. The video footage was transcribed into standard orthography, detailing the vocal and non-vocal aspects. A coding framework guided by the principles of structural-functional linguistics was used to determine the nature of dyadic interaction, comprising linguistic moves, functions and communicative modalities. The relative contributions of student and teacher to the interaction were examined. Significant differences were found between the students and educational staff on the majority of the measures. The teachers dominated the interaction, occupying significantly more turns than the students. Teacher turns contained significantly more initiations and follow-up moves than the students, who used more response moves. Teacher communication mainly served the functions of requesting and information giving. Feedback and scripted functions were also significantly greater among teacher turns, with only limited occurrence among the students. Self- or shared-expression was greatest among the students. The modalities of speech, touch, singing and

Effects of multiple intelligences supported project-based learning on students’ achievement levels and attitudes towards English lesson

Directory of Open Access Journals (Sweden)

Gökhan Baş

2007-07-01

Full Text Available The aim of the research was to investigate the effects of multiple intelligences supported project-based learning and traditional foreign language-teaching environment on students’ achievement and their attitude towards English lesson. The research was carried out in 2009 – 2010 education-instruction year in Karatli Sehit Sahin Yilmaz Elementary School, Nigde, Turkey. Totally 50 students in two different classes in the 5th grade of this school participated in the study. The results of the research showed a significant difference between the attitude scores of the experiment group and the control group. It was also found out that the multiple intelligences approach activities were more effective in the positive development of the students’ attitudes. At the end of the research, it is revealed that the students who are educated by multiple intelligences supported project-based learning method are more successful and have a higher motivation level than the students who are educated by the traditional instructional methods.

Effects of multiple intelligences supported project-based learning on students’ achievement levels and attitudes towards English lesson

Directory of Open Access Journals (Sweden)

Gökhan BAŞ

2010-07-01

Full Text Available The aim of the research was to investigate the effects of multiple intelligences supported project-based learning and traditional foreign language-teaching environment on students' achievement and their attitude towards English lesson. The research was carried out in 2009 – 2010 education-instruction year in Karatli Sehit Sahin Yilmaz Elementary School, Nigde, Turkey. Totally 50 students in two different classes in the 5th grade of this school participated in the study. The results of the research showed a significant difference between the attitude scores of the experiment group and the control group. It was also found out that the multiple intelligences approach activities were more effective in thepositive development of the students’ attitudes. At the end of the research, it is revealed that the students who are educated by multiple intelligences supported project-based learning method are more successful and have a higher motivation level than the studentswho are educated by the traditional instructional methods.

Prediction of Ionizing Radiation Resistance in Bacteria Using a Multiple Instance Learning Model.

Science.gov (United States)

Aridhi, Sabeur; Sghaier, Haïtham; Zoghlami, Manel; Maddouri, Mondher; Nguifo, Engelbert Mephu

2016-01-01

Ionizing-radiation-resistant bacteria (IRRB) are important in biotechnology. In this context, in silico methods of phenotypic prediction and genotype-phenotype relationship discovery are limited. In this work, we analyzed basal DNA repair proteins of most known proteome sequences of IRRB and ionizing-radiation-sensitive bacteria (IRSB) in order to learn a classifier that correctly predicts this bacterial phenotype. We formulated the problem of predicting bacterial ionizing radiation resistance (IRR) as a multiple-instance learning (MIL) problem, and we proposed a novel approach for this purpose. We provide a MIL-based prediction system that classifies a bacterium to either IRRB or IRSB. The experimental results of the proposed system are satisfactory with 91.5% of successful predictions.

Place learning overrides innate behaviors in Drosophila.

Science.gov (United States)

Baggett, Vincent; Mishra, Aditi; Kehrer, Abigail L; Robinson, Abbey O; Shaw, Paul; Zars, Troy

2018-03-01

Animals in a natural environment confront many sensory cues. Some of these cues bias behavioral decisions independent of experience, and action selection can reveal a stimulus-response (S-R) connection. However, in a changing environment it would be a benefit for an animal to update behavioral action selection based on experience, and learning might modify even strong S-R relationships. How animals use learning to modify S-R relationships is a largely open question. Three sensory stimuli, air, light, and gravity sources were presented to individual Drosophila melanogaster in both naïve and place conditioning situations. Flies were tested for a potential modification of the S-R relationships of anemotaxis, phototaxis, and negative gravitaxis by a contingency that associated place with high temperature. With two stimuli, significant S-R relationships were abandoned when the cue was in conflict with the place learning contingency. The role of the dunce ( dnc ) cAMP-phosphodiesterase and the rutabaga ( rut ) adenylyl cyclase were examined in all conditions. Both dnc 1 and rut 2080 mutant flies failed to display significant S-R relationships with two attractive cues, and have characteristically lower conditioning scores under most conditions. Thus, learning can have profound effects on separate native S-R relationships in multiple contexts, and mutation of the dnc and rut genes reveal complex effects on behavior. © 2018 Baggett et al.; Published by Cold Spring Harbor Laboratory Press.

What Role do Metaphors Play in Game-based Learning Processes?

DEFF Research Database (Denmark)

Henriksen, Thomas Duus

2015-01-01

This chapter explores the role played by metaphors in learning games and game-based learning processes. The aim is to contribute better understanding of the mechanisms of how such games contribute to learning and learning transfer. On the basis of an analytical strategy that emphasises metaphors...... as storylines, actors, acts and movement, three learning games are analysed in order to understand how learningemerges in association to game-embedded metaphors.As shown in this chapter, metaphorsseem to play a profound role in game-based learning, both by providing participantswith a suitcase containing...

Bipolar Affective Disorder in a Patient of Profound Deafness.

Science.gov (United States)

Zubair, Usama Bin; Mumtaz, Humza; Mansoor, Sawera

2018-03-01

Profound deafness is a lifelong impairment, leading to the physical disability as well as poor psychological adjustment. We herein present a mental health disorder rarely seen among the patients of profound deafness. A 16-year deaf and dumb girl, previously treated for depression, presented with unusual laughter, irritability, flight of ideas, decreased sleep, ideas of self importance, and decreased social functioning and educational performance. These problems were understood by the parents via sign language, who interpreted them to the interviewer. Her Young Mania Rating Scale (YMRS) score was 19 and Brief Psychiatric Rating Scale (BPRS) score was 52. She was diagnosed as a case of bipolar affective disorder (BPAD). Marked improvement in the symptoms and social and educational performance was noted after two weeks of the treatment with sodium valproate, resperidone and clonazepam. Treatment options were explained to the patient with risks and benefits, and she was involved in the decision-making. This case report highlights the importance of accurately diagnosing and managing a rare mental health disorder among the physically handicapped people, especially those who cannot communicate effectively and explain their unusual subjective experiences.

An Examination of Multiple Intelligence Domains and Learning Styles of Pre-Service Mathematics Teachers: Their Reflections on Mathematics Education

Science.gov (United States)

Ozgen, Kemal; Tataroglu, Berna; Alkan, Huseyin

2011-01-01

The present study aims to identify pre-service mathematics teachers' multiple intelligence domains and learning style profiles, and to establish relationships between them. Employing the survey model, the study was conducted with the participation of 243 pre-service mathematics teachers. The study used the "multiple intelligence domains…

Performance evaluation of 2D and 3D deep learning approaches for automatic segmentation of multiple organs on CT images

Science.gov (United States)

Zhou, Xiangrong; Yamada, Kazuma; Kojima, Takuya; Takayama, Ryosuke; Wang, Song; Zhou, Xinxin; Hara, Takeshi; Fujita, Hiroshi

2018-02-01

The purpose of this study is to evaluate and compare the performance of modern deep learning techniques for automatically recognizing and segmenting multiple organ regions on 3D CT images. CT image segmentation is one of the important task in medical image analysis and is still very challenging. Deep learning approaches have demonstrated the capability of scene recognition and semantic segmentation on nature images and have been used to address segmentation problems of medical images. Although several works showed promising results of CT image segmentation by using deep learning approaches, there is no comprehensive evaluation of segmentation performance of the deep learning on segmenting multiple organs on different portions of CT scans. In this paper, we evaluated and compared the segmentation performance of two different deep learning approaches that used 2D- and 3D deep convolutional neural networks (CNN) without- and with a pre-processing step. A conventional approach that presents the state-of-the-art performance of CT image segmentation without deep learning was also used for comparison. A dataset that includes 240 CT images scanned on different portions of human bodies was used for performance evaluation. The maximum number of 17 types of organ regions in each CT scan were segmented automatically and compared to the human annotations by using ratio of intersection over union (IU) as the criterion. The experimental results demonstrated the IUs of the segmentation results had a mean value of 79% and 67% by averaging 17 types of organs that segmented by a 3D- and 2D deep CNN, respectively. All the results of the deep learning approaches showed a better accuracy and robustness than the conventional segmentation method that used probabilistic atlas and graph-cut methods. The effectiveness and the usefulness of deep learning approaches were demonstrated for solving multiple organs segmentation problem on 3D CT images.

A Grounded Theory of Effective Reading by Profoundly Deaf Adults

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Silvestri, Julia; Wang, Ye

2018-01-01

The purpose of the study was to uncover and describe psycholinguistic and sociocognitive factors facilitating effective reading by signing adults who are profoundly deaf and do not use hearing technology. The sample comprised four groups, each consisting of 15 adults, for a total of 60 participants. The four groups were "deaf…

Deming's System of Profound Knowledge: An Overview for International Educators.

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Evans, Thomas J.

W. Edwards Deming called for the transformation to a new style of organizational management based on greater cooperation between managers and employees. This transformation could be achieved by introducing "profound knowledge" into the system. This paper is a presentation outline that was used to introduce the basics of Deming's theory…

When children with profound multiple disabilities are hospitalized: A cross-sectional survey of parental burden of care, quality of life of parents and their hospitalized children, and satisfaction with family-centered care.

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Seliner, Brigitte; Latal, Bea; Spirig, Rebecca

2016-07-01

We aimed to assess parental burden of care, satisfaction with family-centered care, and quality of life (HRQoL) of parents and their hospitalized children with profound intellectual and multiple disabilities (PIMD), and determine the relationship among these factors. A cross-sectional study using printed questionnaires and qualitative questions was undertaken at a Swiss University Children's Hospital. The 117 parents (98 mothers, 19 fathers) studied indicated a substantial impact on burden of care and parental health-related quality of life. Significant correlations with the hospitalized children's well-being were rs = .408 for burden of care and rs -.368 for quality of life. Qualitative results showed parents struggling to safeguard their children and worrying most about the children's well-being. Health professionals need to be aware of parental burden and that the perception of the children's well-being and the parents' efforts determine their support needs. Easing parents' burden and fostering confidence in the hospitalized children's well-being requires coordination of care provided by advanced nurse specialists, with an institutional framework that clarifies parental collaboration. © 2016, Wiley Periodicals, Inc.

Examining the benefits of combining two learning strategies on recall of functional information in persons with multiple sclerosis.

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Goverover, Yael; Basso, Michael; Wood, Hali; Chiaravalloti, Nancy; DeLuca, John

2011-12-01

Forgetfulness occurs commonly in people with multiple sclerosis (MS), but few treatments alleviate this problem. This study examined the combined effect of two cognitive rehabilitation strategies to improve learning and memory in MS: self-generation and spaced learning. The hypothesis was that the combination of spaced learning and self-generation would yield better learning and memory recall performance than spaced learning alone. Using a within groups design, 20 participants with MS and 18 healthy controls (HC) were presented with three tasks (learning names, appointment, and object location), each in three learning conditions (Massed, Spaced Learning, and combination of spaced and generated information). Participants were required to recall the information they learned in each of these conditions immediately and 30 min following the initial presentation. The combination of spaced learning and self-generation yielded better recall than did spaced learning alone. In turn, spaced learning resulted in better recall than the massed rehearsal condition. These findings reveal that the combination of these two learning strategies may possess utility as a cognitive rehabilitation strategy.

Asystole Following Profound Vagal Stimulation During Hepatectomy

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Preeta John

2008-01-01

Full Text Available Asystole in a non laparoscopic upper abdominal surgery following intense vagal stimulation is a rare event. This case report highlights the need for awareness of such a complication when a thoracic epidural anaesthetic has been given in addition to a general anaesthetic for an upper abdominal procedure. A combined thoracic epidural and general anaesthetic was given. The anterior abdominal wall was retracted forty minutes after administration of the epidural bolus. This maneuver resulted in a profound vagal response with bradycardia and asystole. The patient was resuscitated successfully with a cardiac massage, atropine and adrenaline and the surgery was resumed. Surgery lasted eleven hours and was uneventful.

Learner Differences among Children Learning a Foreign Language: Language Anxiety, Strategy Use, and Multiple Intelligences

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Liu, Hui-ju; Chen, Ting-Han

2014-01-01

This study mainly investigates language anxiety and its relationship to the use of learning strategies and multiple intelligences among young learners in an EFL educational context. The participants were composed of 212 fifth- and sixth-graders from elementary schools in central Taiwan. Findings indicated that most participants generally…

Acceleration of Object Permanence with Severely and Profoundly Retarded Children.

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Kahn, James V.

Examined was the effectiveness of training four severely and profoundly retarded children (3-6 years old) to improve their level of functioning on a measure of object permanence and to demonstrate generalization to other areas of sensorimotor intelligence. Ss were given a pretest and posttest on the I. Uzgiris and J. Hunt instrument which consists…

Why Learning Not Education?--Analysis of Transnational Education Policies in the Age of Globalization

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Mandal, Sayantan

2012-01-01

The profound influence of globalization seems helping outshine the concept of "education" with the more flexible notion of "learning" in the education policies of major transnational organizations. With considerable differences in concepts, all of them are promoting "learning", more specifically LLL (lifelong…

Distributed learning: Developing a predictive model based on data from multiple hospitals without data leaving the hospital - A real life proof of concept.

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Jochems, Arthur; Deist, Timo M; van Soest, Johan; Eble, Michael; Bulens, Paul; Coucke, Philippe; Dries, Wim; Lambin, Philippe; Dekker, Andre

2016-12-01

One of the major hurdles in enabling personalized medicine is obtaining sufficient patient data to feed into predictive models. Combining data originating from multiple hospitals is difficult because of ethical, legal, political, and administrative barriers associated with data sharing. In order to avoid these issues, a distributed learning approach can be used. Distributed learning is defined as learning from data without the data leaving the hospital. Clinical data from 287 lung cancer patients, treated with curative intent with chemoradiation (CRT) or radiotherapy (RT) alone were collected from and stored in 5 different medical institutes (123 patients at MAASTRO (Netherlands, Dutch), 24 at Jessa (Belgium, Dutch), 34 at Liege (Belgium, Dutch and French), 48 at Aachen (Germany, German) and 58 at Eindhoven (Netherlands, Dutch)). A Bayesian network model is adapted for distributed learning (watch the animation: http://youtu.be/nQpqMIuHyOk). The model predicts dyspnea, which is a common side effect after radiotherapy treatment of lung cancer. We show that it is possible to use the distributed learning approach to train a Bayesian network model on patient data originating from multiple hospitals without these data leaving the individual hospital. The AUC of the model is 0.61 (95%CI, 0.51-0.70) on a 5-fold cross-validation and ranges from 0.59 to 0.71 on external validation sets. Distributed learning can allow the learning of predictive models on data originating from multiple hospitals while avoiding many of the data sharing barriers. Furthermore, the distributed learning approach can be used to extract and employ knowledge from routine patient data from multiple hospitals while being compliant to the various national and European privacy laws. Copyright © 2016 The Author(s). Published by Elsevier Ireland Ltd.. All rights reserved.

Oral Communication Development in Severe to Profound Hearing Impaired Children After Receiving Aural Habilitation

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Soleimani Farin

2009-10-01

Full Text Available Communication, cognition, language, and speech are interrelated and develop together. It should come as no surprise to us that the key to intervention with deaf children is to establish, as early as possible, a functional communication system for the child and the parents. Early intervention programs need to be multidisciplinary, technologically sound and most important, it should take cognizance of the specific context (community, country in which the child and family function. The main aim of this study was to obtain oral communication development regarding current status of the intervention (aural habilitation and speech therapyfor children with severe to profound hearing impairment in Iran. A prospective longitudinal study was undertaken on a consecutive group of children with severe to profound deafness. Nine severe to profound hearing-impaired children out of the primer 42 cases, who were detected below two years old, had been selected in the previous study to receive aural habilitation. The average of their speech intelligibility scores was near 70% at age 6, which was accounted as poor oral communication and only two of them were able to communicate by spoken language. An integrated intervention services continued again for one year and their oral communication skill was assessed by their speech intelligibility. The intelligibility test of children was recorded on audio-tape, when they read 10 questions such as where is your home. This can be answered only in one word. Each tape was presented to10 normal hearing listeners, and their task was to write down, the answers in Persian orthography. At the beginning (at age 6 the average speech intelligibility score of these children was 72% and only two of them had score of 90% and 100%. At age 7, all of the severe groups were over 90%, and only two profound ones achieved the score of 48% and 62%. All of severe groups develop oral communication, but profound ones had a semi-intelligible speech

The Impacts of Network Centrality and Self-Regulation on an E-Learning Environment with the Support of Social Network Awareness

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Lin, Jian-Wei; Huang, Hsieh-Hong; Chuang, Yuh-Shy

2015-01-01

An e-learning environment that supports social network awareness (SNA) is a highly effective means of increasing peer interaction and assisting student learning by raising awareness of social and learning contexts of peers. Network centrality profoundly impacts student learning in an SNA-related e-learning environment. Additionally,…

The Effectiveness of Problem-Based Learning Approach Based on Multiple Intelligences in Terms of Student’s Achievement, Mathematical Connection Ability, and Self-Esteem

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Kartikasari, A.; Widjajanti, D. B.

2017-02-01

The aim of this study is to explore the effectiveness of learning approach using problem-based learning based on multiple intelligences in developing student’s achievement, mathematical connection ability, and self-esteem. This study is experimental research with research sample was 30 of Grade X students of MIA III MAN Yogyakarta III. Learning materials that were implemented consisting of trigonometry and geometry. For the purpose of this study, researchers designed an achievement test made up of 44 multiple choice questions with respectively 24 questions on the concept of trigonometry and 20 questions for geometry. The researcher also designed a connection mathematical test and self-esteem questionnaire that consisted of 7 essay questions on mathematical connection test and 30 items of self-esteem questionnaire. The learning approach said that to be effective if the proportion of students who achieved KKM on achievement test, the proportion of students who achieved a minimum score of high category on the results of both mathematical connection test and self-esteem questionnaire were greater than or equal to 70%. Based on the hypothesis testing at the significance level of 5%, it can be concluded that the learning approach using problem-based learning based on multiple intelligences was effective in terms of student’s achievement, mathematical connection ability, and self-esteem.

Who Learns More? Cultural Differences in Implicit Sequence Learning

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Fu, Qiufang; Dienes, Zoltan; Shang, Junchen; Fu, Xiaolan

2013-01-01

Background It is well documented that East Asians differ from Westerners in conscious perception and attention. However, few studies have explored cultural differences in unconscious processes such as implicit learning. Methodology/Principal Findings The global-local Navon letters were adopted in the serial reaction time (SRT) task, during which Chinese and British participants were instructed to respond to global or local letters, to investigate whether culture influences what people acquire in implicit sequence learning. Our results showed that from the beginning British expressed a greater local bias in perception than Chinese, confirming a cultural difference in perception. Further, over extended exposure, the Chinese learned the target regularity better than the British when the targets were global, indicating a global advantage for Chinese in implicit learning. Moreover, Chinese participants acquired greater unconscious knowledge of an irrelevant regularity than British participants, indicating that the Chinese were more sensitive to contextual regularities than the British. Conclusions/Significance The results suggest that cultural biases can profoundly influence both what people consciously perceive and unconsciously learn. PMID:23940773

Multiple instance learning tracking method with local sparse representation

KAUST Repository

Xie, Chengjun

2013-10-01

When objects undergo large pose change, illumination variation or partial occlusion, most existed visual tracking algorithms tend to drift away from targets and even fail in tracking them. To address this issue, in this study, the authors propose an online algorithm by combining multiple instance learning (MIL) and local sparse representation for tracking an object in a video system. The key idea in our method is to model the appearance of an object by local sparse codes that can be formed as training data for the MIL framework. First, local image patches of a target object are represented as sparse codes with an overcomplete dictionary, where the adaptive representation can be helpful in overcoming partial occlusion in object tracking. Then MIL learns the sparse codes by a classifier to discriminate the target from the background. Finally, results from the trained classifier are input into a particle filter framework to sequentially estimate the target state over time in visual tracking. In addition, to decrease the visual drift because of the accumulative errors when updating the dictionary and classifier, a two-step object tracking method combining a static MIL classifier with a dynamical MIL classifier is proposed. Experiments on some publicly available benchmarks of video sequences show that our proposed tracker is more robust and effective than others. © The Institution of Engineering and Technology 2013.

Prevalence of Auditory Neuropathy in a Population of Children with Severe to Profound Hearing Loss

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Nader Saki

2013-04-01

Full Text Available Background: The purpose of this investigation is to determine auditory neuropathy in the students with severe to profound hearing losses in Ahwaz.Materials and Methods: In this cross-sectional study, 212 children of 7-11 year old with severe to profound hearing loss performed ordinary audiometric evaluations as well as ABR and OAE. The patients with normal DPOAE who had no record of acoustic reflex having normal ABR, were considered as the patients with auditory neuropathy. Results: The neuropathic complication found in 14 children was appeared in 8 ones as one-sided (57.14% and in 6 ones (42.86% as two-sided. 68% of the patients as diagnosed had a very low Speech Discrimination Score (SDS.Conclusion: we must be very vigilant in auditory neuropathy diagnosis for the purpose to be successful in appropriate treatment of severe to profound hearing losses.

A Cross-Cultural Study of Taiwanese and Kuwaiti EFL Students' Learning Styles and Multiple Intelligences

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Wu, Shu-hua; Alrabah, Sulaiman

2009-01-01

The purpose of the present study was to relate the findings of a survey of learning styles and multiple intelligences that was distributed among two different cultural groups of Freshman-level EFL students in Taiwan and Kuwait in order to confirm its consistency for developing teaching techniques appropriate for each group's general profiles. Data…

Direction-of-arrival estimation for co-located multiple-input multiple-output radar using structural sparsity Bayesian learning

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Wen, Fang-Qing; Zhang, Gong; Ben, De

2015-11-01

This paper addresses the direction of arrival (DOA) estimation problem for the co-located multiple-input multiple-output (MIMO) radar with random arrays. The spatially distributed sparsity of the targets in the background makes compressive sensing (CS) desirable for DOA estimation. A spatial CS framework is presented, which links the DOA estimation problem to support recovery from a known over-complete dictionary. A modified statistical model is developed to accurately represent the intra-block correlation of the received signal. A structural sparsity Bayesian learning algorithm is proposed for the sparse recovery problem. The proposed algorithm, which exploits intra-signal correlation, is capable being applied to limited data support and low signal-to-noise ratio (SNR) scene. Furthermore, the proposed algorithm has less computation load compared to the classical Bayesian algorithm. Simulation results show that the proposed algorithm has a more accurate DOA estimation than the traditional multiple signal classification (MUSIC) algorithm and other CS recovery algorithms. Project supported by the National Natural Science Foundation of China (Grant Nos. 61071163, 61271327, and 61471191), the Funding for Outstanding Doctoral Dissertation in Nanjing University of Aeronautics and Astronautics, China (Grant No. BCXJ14-08), the Funding of Innovation Program for Graduate Education of Jiangsu Province, China (Grant No. KYLX 0277), the Fundamental Research Funds for the Central Universities, China (Grant No. 3082015NP2015504), and the Priority Academic Program Development of Jiangsu Higher Education Institutions (PADA), China.

Language Learning Enhanced by Massive Multiple Online Role-Playing Games (MMORPGs) and the Underlying Behavioral and Neural Mechanisms

OpenAIRE

Zhang, Yongjun; Song, Hongwen; Liu, Xiaoming; Tang, Dinghong; Chen, Yue-e; Zhang, Xiaochu

2017-01-01

Massive Multiple Online Role-Playing Games (MMORPGs) have increased in popularity among children, juveniles, and adults since MMORPGs’ appearance in this digital age. MMORPGs can be applied to enhancing language learning, which is drawing researchers’ attention from different fields and many studies have validated MMORPGs’ positive effect on language learning. However, there are few studies on the underlying behavioral or neural mechanism of such effect. This paper reviews the educational app...

Design Research on Mathematics Education: Investigating The Progress of Indonesian Fifth Grade Students’ Learning on Multiplication of Fractions With Natural Numbers

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Nenden Octavarulia Shanty

2011-07-01

Full Text Available This study aimed at investigating the progress of students’ learning onmultiplication fractions with natural numbers through the five activitylevels based on Realistic Mathematics Education (RME approachproposed by Streefland. Design research was chosen to achieve thisresearch goal. In design research, the Hypothetical Learning Trajectory(HLT plays important role as a design and research instrument. ThisHLT tested to thirty-seven students of grade five primary school (i.e.SDN 179 Palembang.The result of the classroom practices showed that measurement (lengthactivity could stimulate students’ to produce fractions as the first levelin learning multiplication of fractions with natural numbers.Furthermore, strategies and tools used by the students in partitioninggradually be developed into a more formal mathematics in whichnumber line be used as the model of measuring situation and the modelfor more formal reasoning. The number line then could bring thestudents to the last activity level, namely on the way to rules formultiplying fractions with natural numbers. Based on this findings, it is suggested that Streefland’s five activity levels can be used as aguideline in learning multiplication of fractions with natural numbers in which the learning process become a more progressive learning.

Effects of chronic multiple stress on learning and memory and the expression of Fyn, BDNF, TrkB in the hippocampus of rats.

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Li, Xiao-Heng; Liu, Neng-Bao; Zhang, Min-Hai; Zhou, Yan-Ling; Liao, Jia-Wan; Liu, Xiang-Qian; Chen, Hong-Wei

2007-04-20

The effect of chronic stress on cognitive functions has been one of the hot topics in neuroscience. But there has been much controversy over its mechanism. The aim of this study was to investigate the effects of chronic multiple stress on spatial learning and memory as well as the expression of Fyn, BDNF and TrkB in the hippocampus of rats. Adult rats were randomly divided into control and chronic multiple stressed groups. Rats in the multiple stressed group were irregularly and alternatively exposed to situations of vertical revolution, sleep expropriation and restraint lasting for 6 weeks, 6 hours per day with night illumination for 6 weeks. Before and after the period of chronic multiple stresses, the performance of spatial learning and memory of all rats was measured using the Morris Water Maze (MWM). The expression of Fyn, BDNF and TrkB proteins in the hippocampus was assayed by Western blotting and immunohistochemical methods. The levels of Fyn and TrkB mRNAs in the hippocampus of rats were detected by RT-PCR technique. The escape latency in the control group and the stressed group were 15.63 and 8.27 seconds respectively. The performance of spatial learning and memory of rats was increased in chronic multiple stressed group (P < 0.05). The levels of Fyn, BDNF and TrkB proteins in the stressed group were higher than those of the control group (P < 0.05). The results of immunoreactivity showed that Fyn was present in the CA3 region of the hippocampus and BDNF positive particles were distributed in the nuclei of CA1 and CA3 pyramidal cells as well as DG granular cells. Quantitative analysis indicated that level of Fyn mRNA was also upregulated in the hippocampus of the stressed group (P < 0.05). Chronic multiple stress can enhance spatial learning and memory function of rats. The expression of Fyn, BDNF and TrkB proteins and the level of Fyn mRNA are increased in the stessed rat hippocampus. These suggest that Fyn and BDNF/TrkB signal transduction pathways may

Learning Recursion: Multiple Nested and Crossed Dependencies

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Meinou de Vries

2011-06-01

Full Text Available Language acquisition in both natural and artificial language learning settings crucially depends on extracting information from ordered sequences. A shared sequence learning mechanism is thus assumed to underlie both natural and artificial language learning. A growing body of empirical evidence is consistent with this hypothesis. By means of artificial language learning experiments, we may therefore gain more insight in this shared mechanism. In this paper, we review empirical evidence from artificial language learning and computational modeling studies, as well as natural language data, and suggest that there are two key factors that help deter-mine processing complexity in sequence learning, and thus in natural language processing. We propose that the specific ordering of non-adjacent dependencies (i.e. nested or crossed, as well as the number of non-adjacent dependencies to be resolved simultaneously (i.e. two or three are important factors in gaining more insight into the boundaries of human sequence learning; and thus, also in natural language processing. The implications for theories of linguistic competence are discussed.

Social Learning towards Sustainability: problematic, perspectives and promise

NARCIS (Netherlands)

Wals, A.E.J.; Rodela, R.

2014-01-01

A common thread throughout this special issue is that sustainability is not a destiny one can eventually reach, but rather a continuous learning path towards transformation that should be profound (e.g. affecting moral standards and value systems), transversal (e.g. requiring the involvement of

Investigating the Role of Multiple Intelligences in Determining Vocabulary Learning Strategies for L2 Learners

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Sistani, Mahsa; Hashemian, Mahmood

2016-01-01

This study, first, examined whether there was any relationship between Iranian L2 learners' vocabulary learning strategies (VLSs), on the one hand, and their multiple intelligences (MI) types, on the other hand. In so doing, it explored the extent to which MI would predict L2 learners' VLSs. To these ends, 40 L2 learners from Isfahan University of…

Music mnemonics aid Verbal Memory and Induce Learning - Related Brain Plasticity in Multiple Sclerosis.

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Thaut, Michael H; Peterson, David A; McIntosh, Gerald C; Hoemberg, Volker

2014-01-01

Recent research on music and brain function has suggested that the temporal pattern structure in music and rhythm can enhance cognitive functions. To further elucidate this question specifically for memory, we investigated if a musical template can enhance verbal learning in patients with multiple sclerosis (MS) and if music-assisted learning will also influence short-term, system-level brain plasticity. We measured systems-level brain activity with oscillatory network synchronization during music-assisted learning. Specifically, we measured the spectral power of 128-channel electroencephalogram (EEG) in alpha and beta frequency bands in 54 patients with MS. The study sample was randomly divided into two groups, either hearing a spoken or a musical (sung) presentation of Rey's auditory verbal learning test. We defined the "learning-related synchronization" (LRS) as the percent change in EEG spectral power from the first time the word was presented to the average of the subsequent word encoding trials. LRS differed significantly between the music and the spoken conditions in low alpha and upper beta bands. Patients in the music condition showed overall better word memory and better word order memory and stronger bilateral frontal alpha LRS than patients in the spoken condition. The evidence suggests that a musical mnemonic recruits stronger oscillatory network synchronization in prefrontal areas in MS patients during word learning. It is suggested that the temporal structure implicit in musical stimuli enhances "deep encoding" during verbal learning and sharpens the timing of neural dynamics in brain networks degraded by demyelination in MS.

Static and Dynamic Balance in Congenital Severe to Profound Hearing-Impaired Children

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Farideh HajiHeydari

2011-09-01

Full Text Available Background and Aim: Research conducted since the early 1900s has consistently identified differences between deaf and hearing children on performance of a wide variety of motor tasks, most notably balance. Our study was performed to test static and dynamic balance skills in congenital severe to profound hearing impaired children in comparison with normal age-matched children.Methods: This cross-sectional study was conducted on 30 severe to profound hearing impaired and 40 normal children with age 6 to 10 years old. Bruininks-Oseretsky test of motor proficiency 2, balance subset with 9 parts was used for evaluation of balance skills.Results: Hearing-impaired children showed 16.7 to 100% fail results in 7 parts of the balance subset. In normal children fail result was revealed just in 3 parts of the balance subset from 2.5 to 57.5%, and differences between two groups were significant (p<0.0001. There was a significant difference between two groups in two static balance skills of standing on one leg on a line and standing on one leg on a balance beam with eyes closed (p<0.0001.conclusion: It seems that development of static balance skills are longer than dynamic ones. Because severe to profound hearing-impaired children showed more weakness than normal children in both static and dynamic balance abilities, functional tests of balance proficiency can help to identify balance disorders in these children.

Reversal of profound rocuronium neuromuscular blockade by sugammadex in anesthetized rhesus monkeys.

NARCIS (Netherlands)

Boer, H.D. de; Egmond, J. van; Pol, F. van de; Bom, A.; Booij, L.H.D.J.

2006-01-01

BACKGROUND: Reversal of neuromuscular blockade can be accomplished by chemical encapsulation of rocuronium by sugammadex, a synthetic gamma-cyclodextrin derivative. The current study determined the feasibility of reversal of rocuronium-induced profound neuromuscular blockade with sugammadex in the

Connections that Count: Brain-Computer Interface Enables the Profoundly Paralyzed to Communicate

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... Home Current Issue Past Issues Connections that Count: Brain-Computer Interface Enables the Profoundly Paralyzed to Communicate Past Issues / ... of this page please turn Javascript on. A brain-computer interface (BCI) system This brain-computer interface (BCI) system ...

Overall Memory Impairment Identification with Mathematical Modeling of the CVLT-II Learning Curve in Multiple Sclerosis

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Igor I. Stepanov

2012-01-01

Full Text Available The CVLT-II provides standardized scores for each of the List A five learning trials, so that the clinician can compare the patient's raw trials 1–5 scores with standardized ones. However, frequently, a patient's raw scores fluctuate making a proper interpretation difficult. The CVLT-II does not offer any other methods for classifying a patient's learning and memory status on the background of the learning curve. The main objective of this research is to illustrate that discriminant analysis provides an accurate assessment of the learning curve, if suitable predictor variables are selected. Normal controls were ninety-eight healthy volunteers (78 females and 20 males. A group of MS patients included 365 patients (266 females and 99 males with clinically defined multiple sclerosis. We show that the best predictor variables are coefficients 3 and 4 of our mathematical model 3∗exp(−2∗(−1+4∗(1−exp(−2∗(−1 because discriminant functions, calculated separately for 3 and 4, allow nearly 100% correct classification. These predictors allow identification of separate impairment of readiness to learn or ability to learn, or both.

Noonan Syndrome: An Underestimated Cause of Severe to Profound Sensorineural Hearing Impairment. Which Clues to Suspect the Diagnosis?

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Ziegler, Alban; Loundon, Natalie; Jonard, Laurence; Cavé, Hélène; Baujat, Geneviève; Gherbi, Souad; Couloigner, Vincent; Marlin, Sandrine

2017-09-01

To highlight Noonan syndrome as a clinically recognizable cause of severe to profound sensorineural hearing impairment. New clinical cases and review. Patients evaluated for etiological diagnosis by a medical geneticist in a reference center for hearing impairment. Five patients presenting with confirmed Noonan syndrome and profound sensorineural hearing impairment. Diagnostic and review of the literature. Five patients presented with profound sensorineural hearing impairment and molecularly confirmed Noonan syndrome. Sensorineural hearing impairment has been progressive for three patients. Cardiac echography identified pulmonary stenosis in two patients and was normal for the three other patients. Short stature was found in two patients. Mild intellectual disability was found in one patient. Inconspicuous clinical features as facial dysmorphism, cryptorchidism, or easy bruising were of peculiar interest to reach the diagnosis of Noonan syndrome. Profound sensorineural hearing impairment can be the main feature of Noonan syndrome. Associated features are highly variable; thus, detailed medical history and careful physical examination are mandatory to consider the diagnosis in case of a sensorineural hearing impairment.

Scripted collaboration in serious gaming for complex learning: Effects of multiple perspectives when acquiring water management skills

NARCIS (Netherlands)

Hummel, Hans; Van Houcke, Jasper; Nadolski, Rob; Van der Hiele, Tony; Kurvers, Hub; Löhr, Ansje

2010-01-01

Hummel, H. G. K., Van Houcke, J., Nadolski, R. J., Van der Hiele, T., Kurvers, H., & Löhr, A. (2011). Scripted collaboration in gaming for complex learning: Effects of multiple perspectives when acquiring water management skills. British Journal of Educational Technology, 42(6),

Biomedical Ph.D. students enrolled in two elite universities in the United kingdom and the United States report adopting multiple learning relationships.

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Kemp, Matthew W; Lazarus, Benjamin M; Perron, Gabriel G; Hanage, William P; Chapman, Elaine

2014-01-01

The ability to form multiple learning relationships is a key element of the doctoral learning environment in the biomedical sciences. Of these relationships, that between student and supervisor has long been viewed as key. There are, however, limited data to describe the student perspective on what makes this relationship valuable. In the present study, we discuss the findings of semi-structured interviews with biomedical Ph.D. students from the United Kingdom and the United States to: i) determine if the learning relationships identified in an Australian biomedical Ph.D. cohort are also important in a larger international student cohort; and ii) improve our understanding of student perceptions of value in their supervisory relationships. 32 students from two research intensive universities, one in the United Kingdom (n = 17), and one in the United States (n = 15) were recruited to participate in a semi-structured interview. Verbatim transcripts were transcribed, validated and analysed using a Miles and Huberman method for thematic analysis. Students reported that relationships with other Ph.D. students, post-doctoral scientists and supervisors were all essential to their learning. Effective supervisory relationships were perceived as the primary source of high-level project guidance, intellectual support and confidence. Relationships with fellow students were viewed as essential for the provision of empathetic emotional support. Technical learning was facilitated, almost exclusively, by relationships with postdoctoral staff. These data make two important contributions to the scholarship of doctoral education in the biomedical sciences. Firstly, they provide further evidence for the importance of multiple learning relationships in the biomedical doctorate. Secondly, they clarify the form of a 'valued' supervisory relationship from a student perspective. We conclude that biomedical doctoral programs should be designed to contain a minimum level of formalised

Biomedical Ph.D. students enrolled in two elite universities in the United kingdom and the United States report adopting multiple learning relationships.

Directory of Open Access Journals (Sweden)

Matthew W Kemp

Full Text Available The ability to form multiple learning relationships is a key element of the doctoral learning environment in the biomedical sciences. Of these relationships, that between student and supervisor has long been viewed as key. There are, however, limited data to describe the student perspective on what makes this relationship valuable. In the present study, we discuss the findings of semi-structured interviews with biomedical Ph.D. students from the United Kingdom and the United States to: i determine if the learning relationships identified in an Australian biomedical Ph.D. cohort are also important in a larger international student cohort; and ii improve our understanding of student perceptions of value in their supervisory relationships.32 students from two research intensive universities, one in the United Kingdom (n = 17, and one in the United States (n = 15 were recruited to participate in a semi-structured interview. Verbatim transcripts were transcribed, validated and analysed using a Miles and Huberman method for thematic analysis.Students reported that relationships with other Ph.D. students, post-doctoral scientists and supervisors were all essential to their learning. Effective supervisory relationships were perceived as the primary source of high-level project guidance, intellectual support and confidence. Relationships with fellow students were viewed as essential for the provision of empathetic emotional support. Technical learning was facilitated, almost exclusively, by relationships with postdoctoral staff.These data make two important contributions to the scholarship of doctoral education in the biomedical sciences. Firstly, they provide further evidence for the importance of multiple learning relationships in the biomedical doctorate. Secondly, they clarify the form of a 'valued' supervisory relationship from a student perspective. We conclude that biomedical doctoral programs should be designed to contain a minimum level

Localized Multiple Kernel Learning Via Sample-Wise Alternating Optimization.

Science.gov (United States)

Han, Yina; Yang, Kunde; Ma, Yuanliang; Liu, Guizhong

2014-01-01

Our objective is to train support vector machines (SVM)-based localized multiple kernel learning (LMKL), using the alternating optimization between the standard SVM solvers with the local combination of base kernels and the sample-specific kernel weights. The advantage of alternating optimization developed from the state-of-the-art MKL is the SVM-tied overall complexity and the simultaneous optimization on both the kernel weights and the classifier. Unfortunately, in LMKL, the sample-specific character makes the updating of kernel weights a difficult quadratic nonconvex problem. In this paper, starting from a new primal-dual equivalence, the canonical objective on which state-of-the-art methods are based is first decomposed into an ensemble of objectives corresponding to each sample, namely, sample-wise objectives. Then, the associated sample-wise alternating optimization method is conducted, in which the localized kernel weights can be independently obtained by solving their exclusive sample-wise objectives, either linear programming (for l1-norm) or with closed-form solutions (for lp-norm). At test time, the learnt kernel weights for the training data are deployed based on the nearest-neighbor rule. Hence, to guarantee their generality among the test part, we introduce the neighborhood information and incorporate it into the empirical loss when deriving the sample-wise objectives. Extensive experiments on four benchmark machine learning datasets and two real-world computer vision datasets demonstrate the effectiveness and efficiency of the proposed algorithm.

Using Multiple Big Datasets and Machine Learning to Produce a New Global Particulate Dataset: A Technology Challenge Case Study

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Lary, D. J.

2013-12-01

A BigData case study is described where multiple datasets from several satellites, high-resolution global meteorological data, social media and in-situ observations are combined using machine learning on a distributed cluster using an automated workflow. The global particulate dataset is relevant to global public health studies and would not be possible to produce without the use of the multiple big datasets, in-situ data and machine learning.To greatly reduce the development time and enhance the functionality a high level language capable of parallel processing has been used (Matlab). A key consideration for the system is high speed access due to the large data volume, persistence of the large data volumes and a precise process time scheduling capability.

Negative Transfer of L1 on English Grammar Learning in SLA

Institute of Scientific and Technical Information of China (English)

马秀琳

2015-01-01

At present,many scholars pay more attention to the positive transfer of native language on the English learning,while ignoring the negative transfer of L1 on English grammar learning.Therefore native transfer of L1 often appears on English grammar learning.This paper aims to point out that the negative transfer of L1 has a profound and vast influence on the English grammar learning,to find out the countermeasures to reduce the influence of negative transfer of L1 and finally to bring the benefits to the following relative studies.

Multi-channel EEG-based sleep stage classification with joint collaborative representation and multiple kernel learning.

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Shi, Jun; Liu, Xiao; Li, Yan; Zhang, Qi; Li, Yingjie; Ying, Shihui

2015-10-30

Electroencephalography (EEG) based sleep staging is commonly used in clinical routine. Feature extraction and representation plays a crucial role in EEG-based automatic classification of sleep stages. Sparse representation (SR) is a state-of-the-art unsupervised feature learning method suitable for EEG feature representation. Collaborative representation (CR) is an effective data coding method used as a classifier. Here we use CR as a data representation method to learn features from the EEG signal. A joint collaboration model is established to develop a multi-view learning algorithm, and generate joint CR (JCR) codes to fuse and represent multi-channel EEG signals. A two-stage multi-view learning-based sleep staging framework is then constructed, in which JCR and joint sparse representation (JSR) algorithms first fuse and learning the feature representation from multi-channel EEG signals, respectively. Multi-view JCR and JSR features are then integrated and sleep stages recognized by a multiple kernel extreme learning machine (MK-ELM) algorithm with grid search. The proposed two-stage multi-view learning algorithm achieves superior performance for sleep staging. With a K-means clustering based dictionary, the mean classification accuracy, sensitivity and specificity are 81.10 ± 0.15%, 71.42 ± 0.66% and 94.57 ± 0.07%, respectively; while with the dictionary learned using the submodular optimization method, they are 80.29 ± 0.22%, 71.26 ± 0.78% and 94.38 ± 0.10%, respectively. The two-stage multi-view learning based sleep staging framework outperforms all other classification methods compared in this work, while JCR is superior to JSR. The proposed multi-view learning framework has the potential for sleep staging based on multi-channel or multi-modality polysomnography signals. Copyright © 2015 Elsevier B.V. All rights reserved.

Profound vision loss impairs psychological well-being in young and middle-aged individuals.

Science.gov (United States)

Garcia, Giancarlo A; Khoshnevis, Matin; Gale, Jesse; Frousiakis, Starleen E; Hwang, Tiffany J; Poincenot, Lissa; Karanjia, Rustum; Baron, David; Sadun, Alfredo A

2017-01-01

The aim of this study was to evaluate the effects of profound vision loss on psychological well-being in adolescents, young adults, and middle-aged adults with regard to mood, interpersonal interactions, and career-related goals. In addition, we assessed the significance of the resources that may be used to enhance psychological well-being in cases of profound vision loss, and in particular, examined the utility of low vision aids and the role of the ophthalmologist as a provider of emotional support. A questionnaire was issued to individuals aged 13-65 years with profound vision loss resulting from Leber's hereditary optic neuropathy (LHON). Depression prevalence was evaluated with questions regarding major depressive disorder symptomatology. Participants appraised the effects of vision loss on their interpersonal interactions and career goals by providing an impact rating (IR) on a 21-point psychometric scale from -10 to +10. Social well-being index was defined as the average of interpersonal IR and career IR. Subjects were additionally asked about the use of low vision aids and sources of emotional support. A total of 103 participants (mean age =26.4±11.2 years at LHON diagnosis; mean ± standard deviation) completed the questionnaire. Nearly half (49.5%) met the depression criteria after vision loss. Negative impacts on interpersonal interactions (median IR = -5) and career goals (median IR = -6) were observed; both ratings were worse ( P negative interpersonal IR and career IR. Sixty-eight percent of subjects used electronic vision aids; controlling for age, social well-being index was higher among these individuals than for those who did not use electronic aids ( P =0.03). Over half of the participants (52.4%) asserted that they derived emotional support from their ophthalmologist. Profound vision loss in adolescents, young adults, and middle-aged adults is associated with significant negative psychological and psychosocial effects, which are influenced by

Overall Memory Impairment Identification with Mathematical Modeling of the CVLT-II Learning Curve in Multiple Sclerosis

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Stepanov, Igor I.; Abramson, Charles I.; Hoogs, Marietta; Benedict, Ralph H. B.

2012-01-01

The CVLT-II provides standardized scores for each of the List A five learning trials, so that the clinician can compare the patient's raw trials 1–5 scores with standardized ones. However, frequently, a patient's raw scores fluctuate making a proper interpretation difficult. The CVLT-II does not offer any other methods for classifying a patient's learning and memory status on the background of the learning curve. The main objective of this research is to illustrate that discriminant analysis provides an accurate assessment of the learning curve, if suitable predictor variables are selected. Normal controls were ninety-eight healthy volunteers (78 females and 20 males). A group of MS patients included 365 patients (266 females and 99 males) with clinically defined multiple sclerosis. We show that the best predictor variables are coefficients B3 and B4 of our mathematical model B3 ∗ exp(−B2  ∗  (X − 1)) + B4  ∗  (1 − exp(−B2  ∗  (X − 1))) because discriminant functions, calculated separately for B3 and B4, allow nearly 100% correct classification. These predictors allow identification of separate impairment of readiness to learn or ability to learn, or both. PMID:22745911

The impact of visual impairment on the ability to perform activities of daily living for persons with severe/profound intellectual disability.

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Dijkhuizen, Annemarie; Hilgenkamp, Thessa I M; Krijnen, Wim P; van der Schans, Cees P; Waninge, Aly

2016-01-01

The ability to perform activities of daily living (ADL) as a component of participation is one of the factors that contribute to quality of life. The ability to perform ADL for persons experiencing severe/profound intellectual disability (ID) may be reduced due to their cognitive and physical capacities. However, until recently, the impact of the significantly prevalent visual impairments on the performance of activities of daily living has not yet been revealed within this group. The purpose of this prospective cross-sectional study was to investigate the impact of visual impairment on the performance of activities of daily living for persons with a severe/profound intellectual disability. The Barthel Index (BI) and Comfortable Walking Speed (CWS) were used to measure the ability of performing activities of daily living (ADL) in 240 persons with severe/profound ID and having Gross Motor Functioning Classification System (GMFCS) levels I, II or III; this included 120 persons with visual impairment. The impact of visual impairment on ADL was analyzed with linear regression. The results of the study demonstrated that visual impairment slightly affects the ability of performing activities of daily living (BI) for persons experiencing a severe/profound intellectual disability. GMFCS Levels II or III, profound ID level, and visual impairment each have the effect of lowering BI scores. GMFCS Levels II or III, and profound ID level each have the effect of increasing CWS scores, which indicates a lower walking speed. A main effect of visual impairment is present on CWS, but our results do show a substantive interaction effect between GMFCS level III and visual impairment on Comfortable Walking Speed in persons with a severe/profound intellectual disability. Visual impairment has a slight effect on ability to perform ADL in persons experiencing severe/profound ID. Copyright © 2015 Elsevier Ltd. All rights reserved.

External validity of individual differences in multiple cue probability learning: The case of pilot training

Directory of Open Access Journals (Sweden)

Nadine Matton

2013-09-01

Full Text Available Individuals differ in their ability to deal with unpredictable environments. Could impaired performances on learning an unpredictable cue-criteria relationship in a laboratory task be associated with impaired learning of complex skills in a natural setting? We focused on a multiple-cue probability learning (MCPL laboratory task and on the natural setting of pilot training. We used data from three selection sessions and from the three corresponding selected pilot student classes of a national airline pilot selection and training system. First, applicants took an MCPL task at the selection stage (N=556; N=701; N=412. Then, pilot trainees selected from the applicant pools (N=44; N=60; N=28 followed the training for 2.5 to 3 yrs. Differences in final MCPL performance were associated with pilot training difficulties. Indeed, poor MCPL performers experienced almost twice as many pilot training difficulties as better MCPL performers (44.0% and 25.0%, respectively.

Effects of Multiple Intelligences Supported Project-Based Learning on Students' Achievement Levels and Attitudes towards English Lesson

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Bas, Gökhan; Beyhan, Ömer

2010-01-01

The aim of the research was to investigate the effects of multiple intelligences supported project-based learning and traditional foreign language-teaching environment on students' achievement and their attitude towards English lesson. The research was carried out in 2009-2010 education-instruction year in Karatli Sehit Sahin Yilmaz Elementary…

Expressions of multiple neuronal dynamics during sensorimotor learning in the motor cortex of behaving monkeys.

Directory of Open Access Journals (Sweden)

Yael Mandelblat-Cerf

Full Text Available Previous studies support the notion that sensorimotor learning involves multiple processes. We investigated the neuronal basis of these processes by recording single-unit activity in motor cortex of non-human primates (Macaca fascicularis, during adaptation to force-field perturbations. Perturbed trials (reaching to one direction were practiced along with unperturbed trials (to other directions. The number of perturbed trials relative to the unperturbed ones was either low or high, in two separate practice schedules. Unsurprisingly, practice under high-rate resulted in faster learning with more pronounced generalization, as compared to the low-rate practice. However, generalization and retention of behavioral and neuronal effects following practice in high-rate were less stable; namely, the faster learning was forgotten faster. We examined two subgroups of cells and showed that, during learning, the changes in firing-rate in one subgroup depended on the number of practiced trials, but not on time. In contrast, changes in the second subgroup depended on time and practice; the changes in firing-rate, following the same number of perturbed trials, were larger under high-rate than low-rate learning. After learning, the neuronal changes gradually decayed. In the first subgroup, the decay pace did not depend on the practice rate, whereas in the second subgroup, the decay pace was greater following high-rate practice. This group shows neuronal representation that mirrors the behavioral performance, evolving faster but also decaying faster at learning under high-rate, as compared to low-rate. The results suggest that the stability of a new learned skill and its neuronal representation are affected by the acquisition schedule.

Music mnemonics aid Verbal Memory and Induce Learning – Related Brain Plasticity in Multiple Sclerosis

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Thaut, Michael H.; Peterson, David A.; McIntosh, Gerald C.; Hoemberg, Volker

2014-01-01

Recent research on music and brain function has suggested that the temporal pattern structure in music and rhythm can enhance cognitive functions. To further elucidate this question specifically for memory, we investigated if a musical template can enhance verbal learning in patients with multiple sclerosis (MS) and if music-assisted learning will also influence short-term, system-level brain plasticity. We measured systems-level brain activity with oscillatory network synchronization during music-assisted learning. Specifically, we measured the spectral power of 128-channel electroencephalogram (EEG) in alpha and beta frequency bands in 54 patients with MS. The study sample was randomly divided into two groups, either hearing a spoken or a musical (sung) presentation of Rey’s auditory verbal learning test. We defined the “learning-related synchronization” (LRS) as the percent change in EEG spectral power from the first time the word was presented to the average of the subsequent word encoding trials. LRS differed significantly between the music and the spoken conditions in low alpha and upper beta bands. Patients in the music condition showed overall better word memory and better word order memory and stronger bilateral frontal alpha LRS than patients in the spoken condition. The evidence suggests that a musical mnemonic recruits stronger oscillatory network synchronization in prefrontal areas in MS patients during word learning. It is suggested that the temporal structure implicit in musical stimuli enhances “deep encoding” during verbal learning and sharpens the timing of neural dynamics in brain networks degraded by demyelination in MS. PMID:24982626

Deep convolutional neural network based antenna selection in multiple-input multiple-output system

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Cai, Jiaxin; Li, Yan; Hu, Ying

2018-03-01

Antenna selection of wireless communication system has attracted increasing attention due to the challenge of keeping a balance between communication performance and computational complexity in large-scale Multiple-Input MultipleOutput antenna systems. Recently, deep learning based methods have achieved promising performance for large-scale data processing and analysis in many application fields. This paper is the first attempt to introduce the deep learning technique into the field of Multiple-Input Multiple-Output antenna selection in wireless communications. First, the label of attenuation coefficients channel matrix is generated by minimizing the key performance indicator of training antenna systems. Then, a deep convolutional neural network that explicitly exploits the massive latent cues of attenuation coefficients is learned on the training antenna systems. Finally, we use the adopted deep convolutional neural network to classify the channel matrix labels of test antennas and select the optimal antenna subset. Simulation experimental results demonstrate that our method can achieve better performance than the state-of-the-art baselines for data-driven based wireless antenna selection.

Team Teaching. IDEA Paper #55

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Plank, Kathryn M.

2013-01-01

Team teaching has the potential to have a profound impact on both teaching and learning. Many who have taught as part of a team report the break from solitary practice brings renewed excitement for teaching and the course that makes them better teachers. It also creates a learning environment in which students can explore multiple perspectives and…

Profound hyper natremia due to central diabetes insipidus

International Nuclear Information System (INIS)

Vaqar, A.; Javaid, K.H.; Parveen, R.; Sadaf, R.

2012-01-01

Diabetes insipidus is a rare endocrine disorder in paediatric patients. Polyuria is a cardinal manifestation that is extremely difficult to recognize in diapered infants. Careful urine quantification is the key to diagnosis in appropriate clinical setting. We report a case of a 4 months old infant presenting with an acute life threatening event following an episode of vomiting and decreased oral intake. She had profound hyper natremia which persisted after stabilization. Polyuria unrecognized by the mother was revealed by 24-hour urine output measurement. A diagnosis of diabetes insipidus was made after appropriate laboratory investigations including serum and urine osmolality. The central nature of the disease was confirmed by neuroimaging which showed holoprosencephaly. (author)

Multiple systems for motor skill learning

OpenAIRE

Clark, Dav; Ivry, Richard B.

2010-01-01

Motor learning is a ubiquitous feature of human competence. This review focuses on two particular classes of model tasks for studying skill acquisition. The serial reaction time (SRT) task is used to probe how people learn sequences of actions, while adaptation in the context of visuomotor or force field perturbations serves to illustrate how preexisting movements are recalibrated in novel environments. These tasks highlight important issues regarding the representational changes that occur d...

Profound microcephaly, primordial dwarfism with developmental brain malformations: a new syndrome.

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Abdel-Salam, Ghada M H; Abdel-Hamid, Mohamed S; Saleem, Sahar N; Ahmed, Mahmoud K H; Issa, Mahmoud; Effat, Laila K; Kayed, Hisham F; Zaki, Maha S; Gaber, Khaled R

2012-08-01

We describe two sibs with a lethal form of profound congenital microcephaly, intrauterine and postnatal growth retardation, subtle skeletal changes, and poorly developed brain. The sibs had striking absent cranial vault with sloping of the forehead, large beaked nose, relatively large ears, and mandibular micro-retrognathia. Brain magnetic resonance imaging (MRI) revealed extremely simplified gyral pattern, large interhemispheric cyst and agenesis of corpus callosum, abnormally shaped hippocampus, and proportionately affected cerebellum and brainstem. In addition, fundus examination showed foveal hypoplasia with optic nerve atrophy. No abnormalities of the internal organs were found. This profound form of microcephaly was identified at 17 weeks gestation by ultrasound and fetal brain MRI helped in characterizing the developmental brain malformations in the second sib. Molecular analysis excluded mutations in potentially related genes such as RNU4ATAC, SLC25A19, and ASPM. These clinical and imaging findings are unlike that of any recognized severe forms of microcephaly which is believed to be a new microcephalic primordial dwarfism (MPD) with developmental brain malformations with most probably autosomal recessive inheritance based on consanguinity and similarly affected male and female sibs. Copyright © 2012 Wiley Periodicals, Inc.

Profound neonatal hypoglycemia and lactic acidosis caused by pyridoxine-dependent epilepsy.

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Mercimek-Mahmutoglu, Saadet; Horvath, Gabriella A; Coulter-Mackie, Marion; Nelson, Tanya; Waters, Paula J; Sargent, Michael; Struys, Eduard; Jakobs, Cornelis; Stockler-Ipsiroglu, Sylvia; Connolly, Mary B

2012-05-01

Pyridoxine-dependent epilepsy (PDE) was first described in 1954. The ALDH7A1 gene mutations resulting in α-aminoadipic semialdehyde dehydrogenase deficiency as a cause of PDE was identified only in 2005. Neonatal epileptic encephalopathy is the presenting feature in >50% of patients with classic PDE. We report the case of a 13-month-old girl with profound neonatal hypoglycemia (0.6 mmol/L; reference range >2.4), lactic acidosis (11 mmol/L; reference range A (p.Val278Val), and a novel putative pathogenic missense mutation c.1192G>C (p.Gly398Arg) in the ALDH7A1 gene. She has been seizure-free since 1.5 months of age on treatment with pyridoxine alone. She has motor delay and central hypotonia but normal language and social development at the age of 13 months. This case is the first description of a patient with PDE due to mutations in the ALDH7A1 gene who presented with profound neonatal hypoglycemia and lactic acidosis masquerading as a neonatal-onset gluconeogenesis defect. PDE should be included in the differential diagnosis of hypoglycemia and lactic acidosis in addition to medically refractory neonatal seizures.

Aviation Safety Risk Modeling: Lessons Learned From Multiple Knowledge Elicitation Sessions

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Luxhoj, J. T.; Ancel, E.; Green, L. L.; Shih, A. T.; Jones, S. M.; Reveley, M. S.

2014-01-01

Aviation safety risk modeling has elements of both art and science. In a complex domain, such as the National Airspace System (NAS), it is essential that knowledge elicitation (KE) sessions with domain experts be performed to facilitate the making of plausible inferences about the possible impacts of future technologies and procedures. This study discusses lessons learned throughout the multiple KE sessions held with domain experts to construct probabilistic safety risk models for a Loss of Control Accident Framework (LOCAF), FLightdeck Automation Problems (FLAP), and Runway Incursion (RI) mishap scenarios. The intent of these safety risk models is to support a portfolio analysis of NASA's Aviation Safety Program (AvSP). These models use the flexible, probabilistic approach of Bayesian Belief Networks (BBNs) and influence diagrams to model the complex interactions of aviation system risk factors. Each KE session had a different set of experts with diverse expertise, such as pilot, air traffic controller, certification, and/or human factors knowledge that was elicited to construct a composite, systems-level risk model. There were numerous "lessons learned" from these KE sessions that deal with behavioral aggregation, conditional probability modeling, object-oriented construction, interpretation of the safety risk results, and model verification/validation that are presented in this paper.

Can Social Learning Increase Learning Speed, Performance or Both?

NARCIS (Netherlands)

Heinerman, J.V.; Stork, J.; Rebolledo Coy, M.A.; Hubert, J.G.; Eiben, A.E.; Bartz-Beielstein, Thomas; Haasdijk, Evert

2017-01-01

Social learning enables multiple robots to share learned experiences while completing a task. The literature offers contradicting examples of its benefits; robots trained with social learning reach a higher performance, an increased learning speed, or both, compared to their individual learning

Multiple trauma in children: critical care overview.

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Wetzel, Randall C; Burns, R Cartland

2002-11-01

Multiple trauma is more than the sum of the injuries. Management not only of the physiologic injury but also of the pathophysiologic responses, along with integration of the child's emotional and developmental needs and the child's family, forms the basis of trauma care. Multiple trauma in children also elicits profound psychological responses from the healthcare providers involved with these children. This overview will address the pathophysiology of multiple trauma in children and the general principles of trauma management by an integrated trauma team. Trauma is a systemic disease. Multiple trauma stimulates the release of multiple inflammatory mediators. A lethal triad of hypothermia, acidosis, and coagulopathy is the direct result of trauma and secondary injury from the systemic response to trauma. Controlling and responding to the secondary pathophysiologic sequelae of trauma is the cornerstone of trauma management in the multiply injured, critically ill child. Damage control surgery is a new, rational approach to the child with multiple trauma. The selection of children for damage control surgery depends on the severity of injury. Major abdominal vascular injuries and multiple visceral injuries are best considered for this approach. The effective management of childhood multiple trauma requires a combined team approach, consideration of the child and family, an organized trauma system, and an effective quality assurance and improvement mechanism.

Connections between Future Time Perspectives and Self-Regulated Learning for Mid-Year Engineering Students: A Multiple Case Study

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Chasmar, Justine

2017-01-01

This dissertation presents multiple studies with the purpose of understanding the connections between undergraduate engineering students' motivations, specifically students' Future Time Perspectives (FTPs) and Self-Regulated Learning (SRL). FTP refers to the views students hold about the future and how their perceptions of current tasks are…

Teacher Subject Specialisms and Their Relationships to Learning Styles, Psychological Types and Multiple Intelligences: Implications for Course Development

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Perry, Chris; Ball, Ian

2004-01-01

This study explores issues in teacher education that increase our understanding of, and response to, the individual differences displayed by learners. A large undergraduate teacher education cohort provided evidence of the range and distribution of preferences in learning styles, psychological types and multiple intelligences. This information…

A Vibrotactile Interface to Motivate Movement for Children with Severe to Profound Disabilities

DEFF Research Database (Denmark)

Manresa-Yee, Cristina; Morrison, Ann; Larsen, Jeppe Veirum

2014-01-01

V-Sense is a vibrotactile interface that encourages children with severe or profound cognitive, sensory and physical impairments to move. The interface makes use of touch, in particular vibrations, as a supportive function to motivate users' actions. Specifically, we propose a vibrotactile...

Like cognitive function, decision making across the life span shows profound age-related changes.

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Tymula, Agnieszka; Rosenberg Belmaker, Lior A; Ruderman, Lital; Glimcher, Paul W; Levy, Ifat

2013-10-15

It has long been known that human cognitive function improves through young adulthood and then declines across the later life span. Here we examined how decision-making function changes across the life span by measuring risk and ambiguity attitudes in the gain and loss domains, as well as choice consistency, in an urban cohort ranging in age from 12 to 90 y. We identified several important age-related patterns in decision making under uncertainty: First, we found that healthy elders between the ages of 65 and 90 were strikingly inconsistent in their choices compared with younger subjects. Just as elders show profound declines in cognitive function, they also show profound declines in choice rationality compared with their younger peers. Second, we found that the widely documented phenomenon of ambiguity aversion is specific to the gain domain and does not occur in the loss domain, except for a slight effect in older adults. Finally, extending an earlier report by our group, we found that risk attitudes across the life span show an inverted U-shaped function; both elders and adolescents are more risk-averse than their midlife counterparts. Taken together, these characterizations of decision-making function across the life span in this urban cohort strengthen the conclusions of previous reports suggesting a profound impact of aging on cognitive function in this domain.

Joint multiple fully connected convolutional neural network with extreme learning machine for hepatocellular carcinoma nuclei grading.

Science.gov (United States)

Li, Siqi; Jiang, Huiyan; Pang, Wenbo

2017-05-01

Accurate cell grading of cancerous tissue pathological image is of great importance in medical diagnosis and treatment. This paper proposes a joint multiple fully connected convolutional neural network with extreme learning machine (MFC-CNN-ELM) architecture for hepatocellular carcinoma (HCC) nuclei grading. First, in preprocessing stage, each grayscale image patch with the fixed size is obtained using center-proliferation segmentation (CPS) method and the corresponding labels are marked under the guidance of three pathologists. Next, a multiple fully connected convolutional neural network (MFC-CNN) is designed to extract the multi-form feature vectors of each input image automatically, which considers multi-scale contextual information of deep layer maps sufficiently. After that, a convolutional neural network extreme learning machine (CNN-ELM) model is proposed to grade HCC nuclei. Finally, a back propagation (BP) algorithm, which contains a new up-sample method, is utilized to train MFC-CNN-ELM architecture. The experiment comparison results demonstrate that our proposed MFC-CNN-ELM has superior performance compared with related works for HCC nuclei grading. Meanwhile, external validation using ICPR 2014 HEp-2 cell dataset shows the good generalization of our MFC-CNN-ELM architecture. Copyright © 2017 Elsevier Ltd. All rights reserved.

Effects of technological learning and uranium price on nuclear cost: Preliminary insights from a multiple factors learning curve and uranium market modeling

International Nuclear Information System (INIS)

Kahouli, Sondes

2011-01-01

This paper studies the effects of returns to scale, technological learning, i.e. learning-by-doing and learning-by-searching, and uranium price on the prospects of nuclear cost decrease. We use an extended learning curve specification, named multiple factors learning curve (MFLC). In a first stage, we estimate a single MFLC. In a second stage, we estimate the MFLC under the framework of simultaneous system of equations which takes into account the uranium supply and demand. This permits not only to enhance the reliability of the estimation by incorporating the uranium price formation mechanisms in the MFLC via the price variable, but also to give preliminary insights about uranium supply and demand behaviors and the associated effects on the nuclear expansion. Results point out that the nuclear cost has important prospects for decrease via capacity expansion, i.e. learning-by-doing effects. In contrast, they show that the learning-by-searching as well as the scale effects have a limited effect on the cost decrease prospects. Conversely, results also show that uranium price exerts a positive and significant effect on nuclear cost, implying that when the uranium price increases, the nuclear power generation cost decreases. Since uranium is characterized by important physical availability, and since it represents only a minor part in the total nuclear cost, we consider that in a context of increasing demand for nuclear energy the latter result can be explained by the fact that the positive learning effects on the cost of nuclear act in a way to dissipate the negative ones that an increase in uranium price may exert. Further, results give evidence of important inertia in the supply and demand sides as well as evidence of slow correlation between the uranium market and oil market which may limit the inter-fuels substituability effects, that is, nuclear capacity expansion and associated learning-by-doing benefits. - Highlights: → We study the prospects of nuclear cost

Learning and Memory Processes Following Cochlear Implantation: The Missing Piece of the Puzzle.

Science.gov (United States)

Pisoni, David B; Kronenberger, William G; Chandramouli, Suyog H; Conway, Christopher M

2016-01-01

At the present time, there is no question that cochlear implants (CIs) work and often work very well in quiet listening conditions for many profoundly deaf children and adults. The speech and language outcomes data published over the last two decades document quite extensively the clinically significant benefits of CIs. Although there now is a large body of evidence supporting the "efficacy" of CIs as a medical intervention for profound hearing loss in both children and adults, there still remain a number of challenging unresolved clinical and theoretical issues that deal with the "effectiveness" of CIs in individual patients that have not yet been successfully resolved. In this paper, we review recent findings on learning and memory, two central topics in the field of cognition that have been seriously neglected in research on CIs. Our research findings on sequence learning, memory and organization processes, and retrieval strategies used in verbal learning and memory of categorized word lists suggests that basic domain-general learning abilities may be the missing piece of the puzzle in terms of understanding the cognitive factors that underlie the enormous individual differences and variability routinely observed in speech and language outcomes following cochlear implantation.

Maturation of the mitochondrial redox response to profound asphyxia in fetal sheep.

Directory of Open Access Journals (Sweden)

Paul P Drury

Full Text Available Fetal susceptibility to hypoxic brain injury increases over the last third of gestation. This study examined the hypothesis that this is associated with impaired mitochondrial adaptation, as measured by more rapid oxidation of cytochrome oxidase (CytOx during profound asphyxia.Chronically instrumented fetal sheep at 0.6, 0.7, and 0.85 gestation were subjected to either 30 min (0.6 gestational age (ga, n = 6, 25 min (0.7 ga, n = 27 or 15 min (0.85 ga, n = 17 of complete umbilical cord occlusion. Fetal EEG, cerebral impedance (to measure brain swelling and near-infrared spectroscopy-derived intra-cerebral oxygenation (ΔHb = HbO(2 - Hb, total hemoglobin (THb and CytOx redox state were monitored continuously. Occlusion was associated with profound, rapid fall in ΔHb in all groups to a plateau from 6 min, greatest at 0.85 ga compared to 0.6 and 0.7 ga (p<0.05. THb initially increased at all ages, with the greatest rise at 0.85 ga (p<0.05, followed by a progressive fall from 7 min in all groups. CytOx initially increased in all groups with the greatest rise at 0.85 ga (p<0.05, followed by a further, delayed increase in preterm fetuses, but a striking fall in the 0.85 group after 6 min of occlusion. Cerebral impedance (a measure of cytotoxic edema increased earlier and more rapidly with greater gestation. In conclusion, the more rapid rise in CytOx and cortical impedance during profound asphyxia with greater maturation is consistent with increasing dependence on oxidative metabolism leading to earlier onset of neural energy failure before the onset of systemic hypotension.

The Influence of Phonological Mechanisms in Written Spelling of Profoundly Deaf Children

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Colombo, Lucia; Arfe, Barbara; Bronte, Tiziana

2012-01-01

In the present study, the effect of phonological and working memory mechanisms involved in spelling Italian single words was explored in two groups of children matched for grade level: a group of normally hearing children and a group of pre-verbally deaf children, with severe-to-profound hearing loss. Three-syllable and four-syllable familiar…

Health-Related Quality of Life in Patients with Multiple Sclerosis : Impact of Disease-Modifying Drugs

NARCIS (Netherlands)

Jongen, Peter Joseph

Multiple sclerosis (MS) has a profound impact on health-related quality of life (HRQoL), a comprehensive subjective measure of the patient's health status. Assessment of HRQoL informs on the potential advantages and disadvantages of disease-modifying drugs (DMDs) beyond their effects on

Reversal of rocuronium-induced profound neuromuscular block by sugammadex in Duchenne muscular dystrophy.

NARCIS (Netherlands)

Boer, H.D. de; Egmond, J. van; Booij, L.H.D.J.; Driessen, J.J.

2009-01-01

A case is reported in which a child with Duchenne muscular dystrophy received a dose of sugammadex to reverse a rocuronium-induced profound neuromuscular block. Sugammadex is the first selective relaxant binding agent and reverses rocuronium- and vecuronium-induced neuromuscular block. A fast and

Insights from Classifying Visual Concepts with Multiple Kernel Learning

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Binder, Alexander; Nakajima, Shinichi; Kloft, Marius; Müller, Christina; Samek, Wojciech; Brefeld, Ulf; Müller, Klaus-Robert; Kawanabe, Motoaki

2012-01-01

Combining information from various image features has become a standard technique in concept recognition tasks. However, the optimal way of fusing the resulting kernel functions is usually unknown in practical applications. Multiple kernel learning (MKL) techniques allow to determine an optimal linear combination of such similarity matrices. Classical approaches to MKL promote sparse mixtures. Unfortunately, 1-norm regularized MKL variants are often observed to be outperformed by an unweighted sum kernel. The main contributions of this paper are the following: we apply a recently developed non-sparse MKL variant to state-of-the-art concept recognition tasks from the application domain of computer vision. We provide insights on benefits and limits of non-sparse MKL and compare it against its direct competitors, the sum-kernel SVM and sparse MKL. We report empirical results for the PASCAL VOC 2009 Classification and ImageCLEF2010 Photo Annotation challenge data sets. Data sets (kernel matrices) as well as further information are available at http://doc.ml.tu-berlin.de/image_mkl/(Accessed 2012 Jun 25). PMID:22936970

Polarimetric SAR Image Classification Using Multiple-feature Fusion and Ensemble Learning

Directory of Open Access Journals (Sweden)

Sun Xun

2016-12-01

Full Text Available In this paper, we propose a supervised classification algorithm for Polarimetric Synthetic Aperture Radar (PolSAR images using multiple-feature fusion and ensemble learning. First, we extract different polarimetric features, including extended polarimetric feature space, Hoekman, Huynen, H/alpha/A, and fourcomponent scattering features of PolSAR images. Next, we randomly select two types of features each time from all feature sets to guarantee the reliability and diversity of later ensembles and use a support vector machine as the basic classifier for predicting classification results. Finally, we concatenate all prediction probabilities of basic classifiers as the final feature representation and employ the random forest method to obtain final classification results. Experimental results at the pixel and region levels show the effectiveness of the proposed algorithm.

Multiple Voices, Multiple Realities: Self-Defined Images of Self among Adolescent Hispanic English Language Learners

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Ajayi, Lasisi J.

2006-01-01

Acquisition of multiple identities to negotiate new forms of social participation and the concomitant attendant multiple languages and multiple cultures is "sine qua non" to success in English language learning classrooms. This study therefore, investigates how middle school Hispanic students reconceptualize their identities to negotiate…

How entorhinal grid cells may learn multiple spatial scales from a dorsoventral gradient of cell response rates in a self-organizing map.

Directory of Open Access Journals (Sweden)

Stephen Grossberg

Full Text Available Place cells in the hippocampus of higher mammals are critical for spatial navigation. Recent modeling clarifies how this may be achieved by how grid cells in the medial entorhinal cortex (MEC input to place cells. Grid cells exhibit hexagonal grid firing patterns across space in multiple spatial scales along the MEC dorsoventral axis. Signals from grid cells of multiple scales combine adaptively to activate place cells that represent much larger spaces than grid cells. But how do grid cells learn to fire at multiple positions that form a hexagonal grid, and with spatial scales that increase along the dorsoventral axis? In vitro recordings of medial entorhinal layer II stellate cells have revealed subthreshold membrane potential oscillations (MPOs whose temporal periods, and time constants of excitatory postsynaptic potentials (EPSPs, both increase along this axis. Slower (faster subthreshold MPOs and slower (faster EPSPs correlate with larger (smaller grid spacings and field widths. A self-organizing map neural model explains how the anatomical gradient of grid spatial scales can be learned by cells that respond more slowly along the gradient to their inputs from stripe cells of multiple scales, which perform linear velocity path integration. The model cells also exhibit MPO frequencies that covary with their response rates. The gradient in intrinsic rhythmicity is thus not compelling evidence for oscillatory interference as a mechanism of grid cell firing. A response rate gradient combined with input stripe cells that have normalized receptive fields can reproduce all known spatial and temporal properties of grid cells along the MEC dorsoventral axis. This spatial gradient mechanism is homologous to a gradient mechanism for temporal learning in the lateral entorhinal cortex and its hippocampal projections. Spatial and temporal representations may hereby arise from homologous mechanisms, thereby embodying a mechanistic "neural relativity" that

The Concept Mastery in the Perspective of Gender of Junior High School Students on Eclipse Theme in Multiple Intelligences-based of Integrated Earth and Space Science Learning

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Liliawati, W.; Utama, J. A.; Mursydah, L. S.

2017-03-01

The purpose of this study is to identify gender-based concept mastery differences of junior high school students after the implementation of multiple intelligences-based integrated earth and space science learning. Pretest-posttest group design was employed to two different classes at one of junior high school on eclipse theme in Tasikmalaya West Java: one class for boys (14 students) and one class of girls (18 students). The two-class received same treatment. The instrument of concepts mastery used in this study was open-ended eight essay questions. Reliability test result of this instrument was 0.9 (category: high) while for validity test results were high and very high category. We used instruments of multiple intelligences identification and learning activity observation sheet for our analysis. The results showed that normalized N-gain of concept mastery for boys and girls were improved, respectively 0.39 and 0.65. Concept mastery for both classes differs significantly. The dominant multiple intelligences for boys were in kinesthetic while girls dominated in the rest of multiple intelligences. Therefor we concluded that the concept mastery was influenced by gender and student’s multiple intelligences. Based on this finding we suggested to considering the factor of gender and students’ multiple intelligences given in the learning activity.

Communication Opportunities via Special Messaging Technology for Two Post-Coma Persons with Multiple Disabilities

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Lancioni, Giulio E.; O'Reilly, Mark F.; Singh, Nirbhay N.; Sigafoos, Jeff; Buonocunto, Francesca; Sacco, Valentina; Colonna, Fabio; Navarro, Jorge; Lanzilotti, Crocifissa; de Pace, Claudia; Megna, Marisa; Oliva, Doretta

2011-01-01

This study extended the assessment of a special messaging technology with two additional post-coma adults who had emerged from a minimally conscious state, but showed multiple disabilities including profound motor and communication impairments. For each participant, the study involved an ABAB design, in which the A represented baseline phases and…

Applying Multiple Intelligences

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Christodoulou, Joanna A.

2009-01-01

The ideas of multiple intelligences introduced by Howard Gardner of Harvard University more than 25 years ago have taken form in many ways, both in schools and in other sometimes-surprising settings. The silver anniversary of Gardner's learning theory provides an opportunity to reflect on the ways multiple intelligences theory has taken form and…

Classroom Procedures for the Measurement of Behavior State among Students with Profound Disabilities.

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Guy, Barbara; And Others

1993-01-01

This study examined whether teacher-implemented classroom measurement procedures of short duration are as reliable as methods used in research studies to determine behavior state (e.g., awake active, awake inactive, asleep, drowsed) of six students with profound mental disabilities. Results indicated that more frequent but briefer measurements…

Effects of using presentation formats that accommodate the learner's multiple intelligences on the learning of freshman college chemistry concepts

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Brown Wright, Gloria Aileen

Howard Gardner's Theory of Multiple Intelligences identifies linguistic, spatial and logical-mathematical intelligences as necessary for learning in the physical sciences. He has identified nine intelligences which all persons possess to varying degrees, and says that learning is most effective when learners receive information in formats that correspond to their intelligence strengths. This research investigated the importance of the multiple intelligences of students in first-year college chemistry to the learning of chemistry concepts. At three pre-selected intervals during the first-semester course each participant received a tutorial on a chemistry topic, each time in a format corresponding to a different one of the three intelligences, just before the concept was introduced by the class lecturer. At the end of the experiment all subjects had experienced each of the three topics once and each format once, after which they were administered a validated instrument to measure their relative strengths in these three intelligences. The difference between a pre- and post-tutorial quiz administered on each occasion was used as a measure of learning. Most subjects were found to have similar strengths in the three intelligences and to benefit from the tutorials regardless of format. Where a difference in the extent of benefit occurred the difference was related to the chemistry concept. Data which indicate that students' preferences support these findings are also included and recommendations for extending this research to other intelligences are made.

Family-centredness of professionals who support people with profound intellectual and multiple disabilities: validation of the Dutch 'Measure of Processes of Care for Service Providers' (MPOC-SP-PIMD).

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Jansen, Suzanne L G; van der Putten, Annette A J; Post, Wendy J; Vlaskamp, Carla

2014-07-01

A Dutch version of the 'Measure of Processes of Care for Service Providers' (MPOC-SP) was developed to determine the extent to which professionals apply the principles of family-centred care in the rehabilitation of children with physical disabilities. However, no data were available on the reliability and construct validity of this instrument when it comes to supporting people with profound intellectual and multiple disabilities (PIMD). This study aimed to validate an adapted version of the Dutch MPOC-SP for assessing the family-centred behaviours of professionals who support this group (MPOC-SP-PIMD). A total of 105 professionals took part in the study. A Mokken scale analysis was conducted to determine whether the instrument satisfied the assumptions of both monotone homogeneity and double monotonicity. Loevinger's scalability coefficient (H) was used for the scalability of the entire scale and of each item separately. Rho was calculated as a measure of the internal consistency of the scales. The analyses resulted in two scales: a nine-item scale interpreted as 'Showing Interpersonal Sensitivity', with H=.39 and rho=.76, and a seven-item scale interpreted as 'Treating People Respectfully', with H=.49 and rho=.78. A validated version of the MPOC-SP-PIMD, suitable for supporting people with PIMD, consists of a subset of two scales from the original Dutch MPOC-SP. This instrument can be used to compare the family-centredness of professionals with parent's expectations and views. This information can be used in practice to match the support to the needs of the parents and family of the child with PIMD. Copyright © 2014 Elsevier Ltd. All rights reserved.

Multiple representations in physics education

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Duit, Reinders; Fischer, Hans E

2017-01-01

This volume is important because despite various external representations, such as analogies, metaphors, and visualizations being commonly used by physics teachers, educators and researchers, the notion of using the pedagogical functions of multiple representations to support teaching and learning is still a gap in physics education. The research presented in the three sections of the book is introduced by descriptions of various psychological theories that are applied in different ways for designing physics teaching and learning in classroom settings. The following chapters of the book illustrate teaching and learning with respect to applying specific physics multiple representations in different levels of the education system and in different physics topics using analogies and models, different modes, and in reasoning and representational competence. When multiple representations are used in physics for teaching, the expectation is that they should be successful. To ensure this is the case, the implementati...

Humor, laughter, learning, and health! A brief review.

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Savage, Brandon M; Lujan, Heidi L; Thipparthi, Raghavendar R; DiCarlo, Stephen E

2017-09-01

Human emotions, such as anxiety, depression, fear, joy, and laughter, profoundly affect psychological and physiological processes. These emotions form a set of basic, evolved functions that are shared by all humans. Laughter is part of a universal language of basic emotions that all humans recognize. Health care providers and educators may utilize the power of laughter to improve health and enhance teaching and learning. This is an important consideration because teaching is not just about content: it is also about forming relationships and strengthening human connections. In this context, when used effectively, humor is documented to build relationships and enhance performance. Specifically, humor improves student performance by attracting and sustaining attention, reducing anxiety, enhancing participation, and increasing motivation. Moreover, humor stimulates multiple physiological systems that decrease levels of stress hormones, such as cortisol and epinephrine, and increase the activation of the mesolimbic dopaminergic reward system. To achieve these benefits, it is important to use humor that is relevant to the course content and not disparaging toward others. Self-effacing humor illustrates to students that the teacher is comfortable making mistakes and sharing these experiences with the classroom. In this brief review, we discuss the history and relationship between humor, laughing, learning, and health with an emphasis on the powerful, universal language of laughter. Copyright © 2017 the American Physiological Society.

In the Context of Multiple Intelligences Theory, Intelligent Data Analysis of Learning Styles Was Based on Rough Set Theory

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Narli, Serkan; Ozgen, Kemal; Alkan, Huseyin

2011-01-01

The present study aims to identify the relationship between individuals' multiple intelligence areas and their learning styles with mathematical clarity using the concept of rough sets which is used in areas such as artificial intelligence, data reduction, discovery of dependencies, prediction of data significance, and generating decision…

A Data Based Multidimensional Oral Hygiene Curriculum for the Severely and Profoundly Handicapped.

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Feldman, David; Elliott, Thomas A.

A multidimensional oral hygiene curriculum appropriate for the moderately to profoundly retarded and composed of tooth brushing, flossing, and gum stimulation/massage is proposed. Task analyses are included for manual tooth brushing, utilizing an oral irrigation appliance, manual flossing, and use of an adaptive aid for flossing. Also provided are…

Validation of the Spanish version of the Baylor Profound Mental Status Examination.

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Salmerón, Sergio; Huedo, Isabel; López-Utiel, Melisa; Soler-Moratalla, Isabel; Flores-Ruano, Teresa; Fernández-Sánchez, Miguel; Noguerón, Alicia; Doody, Rachelle S; Abizanda, Pedro

2016-01-01

There are no short valid instruments to evaluate cognitive status in severe Alzheimer's disease (AD) patients in the Spanish language. To validate the Spanish version of the Baylor Profound Mental Status Examination (BPMSE-Sp). The Baylor Profound Mental Status Examination (BPMSE) was translated to Spanish and back translated. Validation was conducted in 100 patients with severe probable AD with a Mini-Mental State Examination (MMSE) reliability. The mean age of patients was 84.9; 74% were female; 64% were institutionalized. The mean MMSE was 5.6; the mean BPMSE-Sp was 13.6; the mean BPMSE-Sp behavior was 1.2; the mean SIB was 42.2; and the mean NPI-Q was 4.7. BPMSE-Sp presented good internal consistency (Cronbach α= 0.84). There were significant correlations between the BPMSE-Sp and MMSE (r = 0.86, p reliability were in both cases excellent, ranging between 0.96 and 0.99 (p <  0.001). BPMSE-Sp had fewer floor and ceiling effects than the MMSE. The BPMSE-Sp is a valid tool for use in daily practice and research in the evaluation of cognitive function of patients with severe AD.

A Chameleon with a Complex: Searching for Transformation in International Service-Learning

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Kiely, Richard

2004-01-01

This article reports findings from a longitudinal case study investigating how students experience perspective transformation from their participation in international service-learning program with an explicit social justice orientation. Findings indicate that each student experienced profound changes in their world-view in at least one of six…

Learning and Memory Processes Following Cochlear Implantation: The Missing Piece of the Puzzle

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Pisoni, David B.; Kronenberger, William G.; Chandramouli, Suyog H.; Conway, Christopher M.

2016-01-01

At the present time, there is no question that cochlear implants (CIs) work and often work very well in quiet listening conditions for many profoundly deaf children and adults. The speech and language outcomes data published over the last two decades document quite extensively the clinically significant benefits of CIs. Although there now is a large body of evidence supporting the “efficacy” of CIs as a medical intervention for profound hearing loss in both children and adults, there still remain a number of challenging unresolved clinical and theoretical issues that deal with the “effectiveness” of CIs in individual patients that have not yet been successfully resolved. In this paper, we review recent findings on learning and memory, two central topics in the field of cognition that have been seriously neglected in research on CIs. Our research findings on sequence learning, memory and organization processes, and retrieval strategies used in verbal learning and memory of categorized word lists suggests that basic domain-general learning abilities may be the missing piece of the puzzle in terms of understanding the cognitive factors that underlie the enormous individual differences and variability routinely observed in speech and language outcomes following cochlear implantation. PMID:27092098

Learning and Memory Processes Following Cochlear Implantation:The Missing Piece of the Puzzle

Directory of Open Access Journals (Sweden)

David B. Pisoni

2016-04-01

Full Text Available At the present time, there is no question that cochlear implants work and often work very well in quiet listening conditions for many profoundly deaf children and adults. The speech and language outcomes data published over the last two decades document quite extensively the clinically significant benefits of cochlear implants. Although there now is a large body of evidence supporting the efficacy of cochlear implants as a medical intervention for profound hearing loss in both children and adults, there still remain a number of challenging unresolved clinical and theoretical issues that deal with the effectiveness of cochlear implants in individual patients that have not yet been successfully resolved. In this paper, we review recent findings on learning and memory, two central topics in the field of cognition that have been seriously neglected in research on cochlear implants. Our research findings on sequence learning, memory and organization processes, and retrieval strategies used in verbal learning and memory of categorized word lists suggests that basic domain-general learning abilities may be the missing piece of the puzzle in terms of understanding the cognitive factors that underlie the enormous individual differences and variability routinely observed in speech and language outcomes following cochlear implantation.

Developmental song learning as a model to understand neural mechanisms that limit and promote the ability to learn.

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London, Sarah E

2017-11-20

Songbirds famously learn their vocalizations. Some species can learn continuously, others seasonally, and still others just once. The zebra finch (Taeniopygia guttata) learns to sing during a single developmental "Critical Period," a restricted phase during which a specific experience has profound and permanent effects on brain function and behavioral patterns. The zebra finch can therefore provide fundamental insight into features that promote and limit the ability to acquire complex learned behaviors. For example, what properties permit the brain to come "on-line" for learning? How does experience become encoded to prevent future learning? What features define the brain in receptive compared to closed learning states? This piece will focus on epigenomic, genomic, and molecular levels of analysis that operate on the timescales of development and complex behavioral learning. Existing data will be discussed as they relate to Critical Period learning, and strategies for future studies to more directly address these questions will be considered. Birdsong learning is a powerful model for advancing knowledge of the biological intersections of maturation and experience. Lessons from its study not only have implications for understanding developmental song learning, but also broader questions of learning potential and the enduring effects of early life experience on neural systems and behavior. Copyright © 2017. Published by Elsevier B.V.

A pedagogical model to deconstruct vídeos in virtual learning environments

OpenAIRE

Moreira, J. António; Nejmeddine, Fouad

2015-01-01

In times of profound change, and given the breakneck speed at which information and communication technologies (ICTs) are developing, we often feel the need to (re)think the teaching-learning processes in an ever more plural school in which pedagogy has to be versatile and customised. The video is recognized by most teachers as a powerful communications medium which, in combination with other learning resources and instructional strategies, can perform a vital role in modern education. With t...

The Effect of Feedback Delay on Perceptual Category Learning and Item Memory: Further Limits of Multiple Systems.

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Stephens, Rachel G; Kalish, Michael L

2018-02-01

Delayed feedback during categorization training has been hypothesized to differentially affect 2 systems that underlie learning for rule-based (RB) or information-integration (II) structures. We tested an alternative possibility: that II learning requires more precise item representations than RB learning, and so is harmed more by a delay interval filled with a confusable mask. Experiments 1 and 2 examined the effect of feedback delay on memory for RB and II exemplars, both without and with concurrent categorization training. Without the training, II items were indeed more difficult to recognize than RB items, but there was no detectable effect of delay on item memory. In contrast, with concurrent categorization training, there were effects of both category structure and delayed feedback on item memory, which were related to corresponding changes in category learning. However, we did not observe the critical selective impact of delay on II classification performance that has been shown previously. Our own results were also confirmed in a follow-up study (Experiment 3) involving only categorization training. The selective influence of feedback delay on II learning appears to be contingent on the relative size of subgroups of high-performing participants, and in fact does not support that RB and II category learning are qualitatively different. We conclude that a key part of successfully solving perceptual categorization problems is developing more precise item representations, which can be impaired by delayed feedback during training. More important, the evidence for multiple systems of category learning is even weaker than previously proposed. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Exposure to multiple cholinergic pesticides impairs olfactory learning and memory in honeybees.

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Williamson, Sally M; Wright, Geraldine A

2013-05-15

Pesticides are important agricultural tools often used in combination to avoid resistance in target pest species, but there is growing concern that their widespread use contributes to the decline of pollinator populations. Pollinators perform sophisticated behaviours while foraging that require them to learn and remember floral traits associated with food, but we know relatively little about the way that combined exposure to multiple pesticides affects neural function and behaviour. The experiments reported here show that prolonged exposure to field-realistic concentrations of the neonicotinoid imidacloprid and the organophosphate acetylcholinesterase inhibitor coumaphos and their combination impairs olfactory learning and memory formation in the honeybee. Using a method for classical conditioning of proboscis extension, honeybees were trained in either a massed or spaced conditioning protocol to examine how these pesticides affected performance during learning and short- and long-term memory tasks. We found that bees exposed to imidacloprid, coumaphos, or a combination of these compounds, were less likely to express conditioned proboscis extension towards an odor associated with reward. Bees exposed to imidacloprid were less likely to form a long-term memory, whereas bees exposed to coumaphos were only less likely to respond during the short-term memory test after massed conditioning. Imidacloprid, coumaphos and a combination of the two compounds impaired the bees' ability to differentiate the conditioned odour from a novel odour during the memory test. Our results demonstrate that exposure to sublethal doses of combined cholinergic pesticides significantly impairs important behaviours involved in foraging, implying that pollinator population decline could be the result of a failure of neural function of bees exposed to pesticides in agricultural landscapes.

The Use of Case Based Multiple Choice Questions for Assessing Large Group Teaching: Implications on Student's Learning

Directory of Open Access Journals (Sweden)

Christina Donnelly

2014-06-01

Full Text Available The practice of assessments in third level education is extremely important and a rarely disputed part of the university curriculum as a method to demonstrate a student’s learning. However, assessments to test a student’s knowledge and level of understanding are challenging to apply given recent trends which are showing that student numbers are increasing, student demographics are wide ranging and resources are being stretched. As a result of these emerging challenges, lecturers are required to develop a comprehensive assessment to effectively demonstrate student learning, whilst efficiently managing large class sizes. One form of assessment which has been used for efficient assessment is multiple choice questions (MCQs; however this method has been criticised for encouraging surface learning, in comparison to other methods such as essays or case studies. This research explores the impact of blended assessment methods on student learning. This study adopts a rigorous three-staged qualitative methodology to capture third level lecturers’ and students’ perception to (1 the level of learning when using MCQs; (2 the level of learning when blended assessment in the form of case based MCQs are used. The findings illuminate the positive impact of cased based MCQs as students and lecturers suggest that it leads to a higher level of learning and deeper information processing over that of MCQs without case studies. 2 The implications of this research is that this type of assessment contributes to the current thinking within literature on the use of assessments methods, as well as the blending of assessment methods to reach a higher level of learning. It further serves to reinforce the belief that assessments are the greatest influence on students’ learning, and the requirement for both universities and lecturers to reflect on the best form of assessment to test students’ level of understanding, whilst also balancing the real challenges of

Is more profound knowledge in the field of radiation nece--ssary for doctors

International Nuclear Information System (INIS)

Klener, V.

1981-01-01

Reasons are listed why doctors should have more profound knowledge in the field of radiation. Despite imperceptibility by human senses of ionizing radiation, the parameters characterizing irradiation can accurately be measured. The units of the said parameters are listed and characterized and the relationships are explained of the radiation dose and non-stochastic and stochastic radiation effects. (Ha)

Empowered interaction through creativity

DEFF Research Database (Denmark)

Hasselblad, Stefan; Petersson, Eva; Brooks, Tony

2007-01-01

This paper reflects upon a case study where exploration, play and empowerment in interactive therapy sessions with audio and visual stimuli resulted in achievement, self-esteem and a shared pride between a young adult with profound and multiple learning disabilities (PMLD), his mother and the spe...

Experience Learning and Community Development

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Nena Mijoč

1996-12-01

Full Text Available Research in the field of education, carried out in living and working environment, which has undergone so profound changes recently, is of extreme importance. In schools, courses and seminars, one cannot prepare him/herself for the changes as these are often so rapid that it is impossible to foresee them. Therefore, one can only learn by experience. In defining the term 'experience learning', the teoreticians vary greatly. In this paper, experience learning is understood as a process of learning taking part mainly outside the planned educational process and including an active and participative attitude towards environment and people. Original and direct experience can thus serve as a basis for gaining new comprehensions, for planning future activities as well as for a reinterpretation of the past experiences. Let us first mention the basic factors of successful experience learning, such as an individual's character features, possibilities for learning, learning atmosphere and positive stimulations. It has been estimated that local community can increase or decrease the possibilities for experience learning. However, the relation is active in other direction too: the more experience learning bas been asserted in a community, the greater its influence on social and cultural development of the community. On has to bear in mind that well-planned education for local community and stimulating sociocultural animation can facilitate the development of local community.

Extinction produces context inhibition and multiple-context extinction reduces response recovery in human predictive learning.

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Glautier, Steven; Elgueta, Tito; Nelson, James Byron

2013-12-01

Two experiments with human participants were used to investigate recovery of an extinguished learned response after a context change using ABC designs. In an ABC design, the context changes over the three successive stages of acquisition (context A), extinction (context B), and test (context C). In both experiments, we found reduced recovery in groups that had extinction in multiple contexts, and that the extinction contexts acquired inhibitory strength. These results confirm those of previous investigations, that multiple-context extinction can produce less response recovery than single-context extinction, and they also provide new evidence for the involvement of contextual inhibitory processes in extinction in humans. The foregoing results are broadly in line with a protection-from-extinction account of response recovery. Yet, despite the fact that we detected contextual inhibition, predictions based on protection-from-extinction were not fully reliable for the single- and multiple-context group differences that we observed in (1) rates of extinction and (2) the strength of context inhibition. Thus, although evidence was obtained for a protection-from-extinction account of response recovery, this account can not explain all of the data.

Assessing Children's Multiplicative Thinking

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Hurst, Chris; Hurrell, Derek

2016-01-01

Multiplicative thinking is a "big idea" of mathematics that underpins much of the mathematics learned beyond the early primary school years. This paper reports on a current study that utilises an interview tool and a written quiz to gather data about children's multiplicative thinking. The development of the tools and some of the…

Multiple Modes in Corporate Learning: Propelling Business IQ with Formal, Informal and Social Learning

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Ambrose, John; Ogilvie, Julie

2010-01-01

Recognizing that the shifting corporate environment is placing ever greater stresses on learning organizations, this paper reports how companies are increasingly offering employees a wide choice of learning options beyond conventional classroom training, including online, social learning, and other modalities in "blended" programs. Identifying a…

Speech timing and working memory in profoundly deaf children after cochlear implantation

OpenAIRE

Burkholder, Rose A.; Pisoni, David B.

2003-01-01

Thirty-seven profoundly deaf children between 8- and 9-years-old with cochlear implants and a comparison group of normal-hearing children were studied to measure speaking rates, digit spans, and speech timing during digit span recall. The deaf children displayed longer sentence durations and pauses during recall and shorter digit spans compared to the normal-hearing children. Articulation rates, measured from sentence durations, were strongly correlated with immediate memory span in both norm...

Specialized motor-driven dusp1 expression in the song systems of multiple lineages of vocal learning birds.

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Haruhito Horita

Full Text Available Mechanisms for the evolution of convergent behavioral traits are largely unknown. Vocal learning is one such trait that evolved multiple times and is necessary in humans for the acquisition of spoken language. Among birds, vocal learning is evolved in songbirds, parrots, and hummingbirds. Each time similar forebrain song nuclei specialized for vocal learning and production have evolved. This finding led to the hypothesis that the behavioral and neuroanatomical convergences for vocal learning could be associated with molecular convergence. We previously found that the neural activity-induced gene dual specificity phosphatase 1 (dusp1 was up-regulated in non-vocal circuits, specifically in sensory-input neurons of the thalamus and telencephalon; however, dusp1 was not up-regulated in higher order sensory neurons or motor circuits. Here we show that song motor nuclei are an exception to this pattern. The song nuclei of species from all known vocal learning avian lineages showed motor-driven up-regulation of dusp1 expression induced by singing. There was no detectable motor-driven dusp1 expression throughout the rest of the forebrain after non-vocal motor performance. This pattern contrasts with expression of the commonly studied activity-induced gene egr1, which shows motor-driven expression in song nuclei induced by singing, but also motor-driven expression in adjacent brain regions after non-vocal motor behaviors. In the vocal non-learning avian species, we found no detectable vocalizing-driven dusp1 expression in the forebrain. These findings suggest that independent evolutions of neural systems for vocal learning were accompanied by selection for specialized motor-driven expression of the dusp1 gene in those circuits. This specialized expression of dusp1 could potentially lead to differential regulation of dusp1-modulated molecular cascades in vocal learning circuits.

Object-Based Change Detection in Urban Areas from High Spatial Resolution Images Based on Multiple Features and Ensemble Learning

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Xin Wang

2018-02-01

Full Text Available To improve the accuracy of change detection in urban areas using bi-temporal high-resolution remote sensing images, a novel object-based change detection scheme combining multiple features and ensemble learning is proposed in this paper. Image segmentation is conducted to determine the objects in bi-temporal images separately. Subsequently, three kinds of object features, i.e., spectral, shape and texture, are extracted. Using the image differencing process, a difference image is generated and used as the input for nonlinear supervised classifiers, including k-nearest neighbor, support vector machine, extreme learning machine and random forest. Finally, the results of multiple classifiers are integrated using an ensemble rule called weighted voting to generate the final change detection result. Experimental results of two pairs of real high-resolution remote sensing datasets demonstrate that the proposed approach outperforms the traditional methods in terms of overall accuracy and generates change detection maps with a higher number of homogeneous regions in urban areas. Moreover, the influences of segmentation scale and the feature selection strategy on the change detection performance are also analyzed and discussed.

Seeing is believing: video classification for computed tomographic colonography using multiple-instance learning.

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Wang, Shijun; McKenna, Matthew T; Nguyen, Tan B; Burns, Joseph E; Petrick, Nicholas; Sahiner, Berkman; Summers, Ronald M

2012-05-01

In this paper, we present development and testing results for a novel colonic polyp classification method for use as part of a computed tomographic colonography (CTC) computer-aided detection (CAD) system. Inspired by the interpretative methodology of radiologists using 3-D fly-through mode in CTC reading, we have developed an algorithm which utilizes sequences of images (referred to here as videos) for classification of CAD marks. For each CAD mark, we created a video composed of a series of intraluminal, volume-rendered images visualizing the detection from multiple viewpoints. We then framed the video classification question as a multiple-instance learning (MIL) problem. Since a positive (negative) bag may contain negative (positive) instances, which in our case depends on the viewing angles and camera distance to the target, we developed a novel MIL paradigm to accommodate this class of problems. We solved the new MIL problem by maximizing a L2-norm soft margin using semidefinite programming, which can optimize relevant parameters automatically. We tested our method by analyzing a CTC data set obtained from 50 patients from three medical centers. Our proposed method showed significantly better performance compared with several traditional MIL methods.

Multiple metal accumulation as a factor in learning achievement within various New Orleans elementary school communities

International Nuclear Information System (INIS)

Mielke, H.W.; Berry, K.J..; Mielke, P.W.; Powell, E.T.; Gonzales, C.R.

2005-01-01

In New Orleans, the elementary school system is divided into attendance districts with established boundaries that define student enrollment among schools. This study concerns environmental quality as defined by amount of soil metals (Pb, Zn, Cd, Ni, Mn, Cu, Co, Cr, and V) in attendance district elementary school communities (n=111) paired with learning achievement as measured by individual test scores (n=32,741) of students enrolled at each school. The Louisiana Educational Assessment Program (LEAP) 4th grade scores measure learning achievement for English language arts, social studies, mathematics, and science. The best fit between environmental quality and higher learning achievement is found to be inversely associated with the sum of the metals or multiple metal accumulations (MMA) in New Orleans communities. The P values for MMA partitions for ELA, SOC, MAT, and SCI are 0.57x10 -7 , 0.29x10 -8 , 0.41x10 -6 , and 0.17x10 -8 , respectively. Efforts to prevent childhood metal exposure should improve New Orleanians' learning achievement as measured by the LEAP scores and thereby enhance the socioeconomic situation in contaminated communities. This study establishes global relationships between LEAP scores in schools and soil metal concentrations in school neighborhoods. However, these data do not allow relating of the LEAP scores with metal levels for individual students

Constrained Active Learning for Anchor Link Prediction Across Multiple Heterogeneous Social Networks.

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Zhu, Junxing; Zhang, Jiawei; Wu, Quanyuan; Jia, Yan; Zhou, Bin; Wei, Xiaokai; Yu, Philip S

2017-08-03

Nowadays, people are usually involved in multiple heterogeneous social networks simultaneously. Discovering the anchor links between the accounts owned by the same users across different social networks is crucial for many important inter-network applications, e.g., cross-network link transfer and cross-network recommendation. Many different supervised models have been proposed to predict anchor links so far, but they are effective only when the labeled anchor links are abundant. However, in real scenarios, such a requirement can hardly be met and most anchor links are unlabeled, since manually labeling the inter-network anchor links is quite costly and tedious. To overcome such a problem and utilize the numerous unlabeled anchor links in model building, in this paper, we introduce the active learning based anchor link prediction problem. Different from the traditional active learning problems, due to the one-to-one constraint on anchor links, if an unlabeled anchor link a = ( u , v ) is identified as positive (i.e., existing), all the other unlabeled anchor links incident to account u or account v will be negative (i.e., non-existing) automatically. Viewed in such a perspective, asking for the labels of potential positive anchor links in the unlabeled set will be rewarding in the active anchor link prediction problem. Various novel anchor link information gain measures are defined in this paper, based on which several constraint active anchor link prediction methods are introduced. Extensive experiments have been done on real-world social network datasets to compare the performance of these methods with state-of-art anchor link prediction methods. The experimental results show that the proposed Mean-entropy-based Constrained Active Learning (MC) method can outperform other methods with significant advantages.

Lesion classification using clinical and visual data fusion by multiple kernel learning

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Kisilev, Pavel; Hashoul, Sharbell; Walach, Eugene; Tzadok, Asaf

2014-03-01

To overcome operator dependency and to increase diagnosis accuracy in breast ultrasound (US), a lot of effort has been devoted to developing computer-aided diagnosis (CAD) systems for breast cancer detection and classification. Unfortunately, the efficacy of such CAD systems is limited since they rely on correct automatic lesions detection and localization, and on robustness of features computed based on the detected areas. In this paper we propose a new approach to boost the performance of a Machine Learning based CAD system, by combining visual and clinical data from patient files. We compute a set of visual features from breast ultrasound images, and construct the textual descriptor of patients by extracting relevant keywords from patients' clinical data files. We then use the Multiple Kernel Learning (MKL) framework to train SVM based classifier to discriminate between benign and malignant cases. We investigate different types of data fusion methods, namely, early, late, and intermediate (MKL-based) fusion. Our database consists of 408 patient cases, each containing US images, textual description of complaints and symptoms filled by physicians, and confirmed diagnoses. We show experimentally that the proposed MKL-based approach is superior to other classification methods. Even though the clinical data is very sparse and noisy, its MKL-based fusion with visual features yields significant improvement of the classification accuracy, as compared to the image features only based classifier.

A Grounded Theory of Professional Learning in an Authentic Online Professional Development Program

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Teräs, Hanna; Kartoglu, Umit

2017-01-01

Online professional development (OPD) programs have become increasingly popular. However, participating in professional development does not always lead to profound professional learning. Previous research endeavours have often focussed on measuring user acceptance or on comparing the effectiveness of OPD with a face-to-face delivery, but there is…

Free-Choice Learning Suited to Women's Participation Needs in Environmental Decision-Making Processes

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Skanavis, Constantina; Sakellari, Maria

2012-01-01

United Nations mandates recognize the need to promote the full participation of women in environmental decision-making processes on the basis of gender equality. But, there remains a profound lack of effective women's participation in some sectors of environmental decision-making. Free-choice environmental learning offers an effective educational…

Effects of a Voice Output Communication Aid on Interactions between Support Personnel and an Individual with Multiple Disabilities.

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Schepis, Maureen M.; Reid, Dennis H.

1995-01-01

A young adult with multiple disabilities (profound mental retardation, spastic quadriplegia, and visual impairment) was provided with a voice output communication aid (VOCA) which allowed communication through synthesized speech. Both educational and residential staff members interacted with the individual more frequently when she had access to…

The Differential Effects of Attentional Focus in Children with Moderate and Profound Visual Impairments

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Scott W. T. McNamara

2017-10-01

Full Text Available It has been consistently reported that an external focus of attention leads to better motor performance than an internal focus, but no research to date has explored this effect in a population with visual impairments (VI. External focus statements typically reference something in the environment (e.g., target that may be difficult to conceptualize for people with VI since they cannot generate a visual representation of the object of focus. Internal focus statements could be more closely identifiable with proprioception that is not impaired in this population. Recent studies have reported that sighted adults with temporarily obstructed vision are able to receive an external focus benefit when performing discrete tasks (i.e., golf putt and vertical jump, however, it is unclear if those with VI would experience the same benefit. The purpose of this investigation was to compare how an internal focus and external focus impact the balance of children with VI. Eighteen children with VI were grouped into a moderate (n = 11 and a profound VI group (n = 7. Participants completed a familiarization trial, an internal focus trial (i.e., focusing on feet and an external focus trial (i.e., focusing on markers in a counterbalanced order. The moderate VI group had a lower root mean square error while using an external focus (p = 0.04, while the profound VI group did not differ between conditions (p > 0.05. These results suggest that while performing a task reliant on sensory feedback, an external focus benefit may be dependent on the severity of VI. Further research is needed to examine whether external focus statements can be presented in a way that may be more intuitive to those with profound VI. These findings may help to influence how professionals in health-related fields (e.g., physical therapist and physical educators give instructions on motor performance to populations with VI.

Specific needs of families of young adults with profound intellectual disability during and after transition to adulthood: What are we missing?

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Gauthier-Boudreault, Camille; Gallagher, Frances; Couture, Mélanie

2017-07-01

At the age of 21, the trajectory of services offered to youth with profound intellectual disability (ID) change significantly since access to specialised services is more limited. Despite the desire of parents to avoid any impact on their child, several factors can influence the course of this transition. However, there is little research on facilitators and obstacles to the transition to adulthood, and impacts on people with a profound ID. It is therefore difficult to provide solutions that meet their specific needs. The study aimed to document the needs of parents and young adults with profound ID during and after the transition to adulthood by exploring their transitioning experience and factors that influenced it. Using a descriptive qualitative design, two individual semi-structured interviews were conducted with fourteen (14) parents of young adults aged between 18 and 26 with a profound ID. At this point, many material, informative, cognitive and emotional needs of young adults and their parents are not met. Obstacles, mainly organisational, persist and result in a particularly difficult transition to adulthood experience. By knowing the specific needs of these families, it is possible to develop and implement solutions tailored to their reality. WHAT THE PAPERS ADDS?: The transition to adulthood is a critical period for families with young adults with an intellectual disability (ID), a reality observed internationally. Current literature on all levels of ID suggests some barriers to transition that lead to negative impacts on both parents and young adults with ID. However, presently, very little research exists on the reality of families of young adults with profound ID and factors influencing transition to adult life. Most of studies target people with mild to moderate ID. Considering the significant disabilities of people with profound ID, it is possible to imagine that their experience of transition will be even more difficult and they will present

I feel disconnected: learning technologies in resident education.

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Armstrong, April D; Jarvis-Selinger, Sandra

2013-01-01

With the rapid development of technology in medical education, orthopaedic educators are recognizing that the way residents learn and access information is profoundly changing. Residency programs are faced with the challenging problem that current educational methods are not designed to take full advantage of the information explosion and rapid technologic changes. This disconnection is often seen in the potentially separate approaches to education preferred by residents and orthopaedic educators. Becoming connected with residents requires understanding the possible learning technologies available and the learners' abilities, needs, and expectations. It is often assumed that approaches to strategic lifelong learning are developed by residents during their training; however, without the incorporation of technology into the learning environment, residents will not be taught the digital literacy and information management strategies that will be needed in the future. To improve learning, it is important to highlight and discuss current technologic trends in education, the possible technologic disconnection between educators and learners, the types of learning technologies available, and the potential opportunities for getting connected.

Resettlement of Individuals with Learning Disabilities into Community Care: A Risk Audit

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Ellis, Roger; Hogard, Elaine; Sines, David

2013-01-01

This article describes a risk audit carried out on the support provided for 36 people with profound learning disabilities who had been resettled from hospital care to supported housing. The risks were those factors identified in the literature as associated with deleterious effects on quality of life. The audit was carried out with a specially…

Learning Dynamics in Doctoral Supervision

DEFF Research Database (Denmark)

Kobayashi, Sofie

investigates learning opportunities in supervision with multiple supervisors. This was investigated through observations and recording of supervision, and subsequent analysis of transcripts. The analyses used different perspectives on learning; learning as participation, positioning theory and variation theory....... The research illuminates how learning opportunities are created in the interaction through the scientific discussions. It also shows how multiple supervisors can contribute to supervision by providing new perspectives and opinions that have a potential for creating new understandings. The combination...... of different theoretical frameworks from the perspectives of learning as individual acquisition and a sociocultural perspective on learning contributed to a nuanced illustration of the otherwise implicit practices of supervision....

Beyond Motivation - History as a method for the learning of meta-discursive rules in mathematics

DEFF Research Database (Denmark)

Kjeldsen, Tinne Hoff; Blomhøj, Morten

2012-01-01

In this paper, we argue that history might have a profound role to play for learning mathematics by providing a self-evident (if not indispensable) strategy for revealing meta-discursive rules in mathematics and turning them into explicit objects of reflection for students. Our argument is based...

Incorporating Multiple-Choice Questions into an AACSB Assurance of Learning Process: A Course-Embedded Assessment Application to an Introductory Finance Course

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Santos, Michael R.; Hu, Aidong; Jordan, Douglas

2014-01-01

The authors offer a classification technique to make a quantitative skills rubric more operational, with the groupings of multiple-choice questions to match the student learning levels in knowledge, calculation, quantitative reasoning, and analysis. The authors applied this classification technique to the mid-term exams of an introductory finance…

Education for All: Gardner's Multiple Intelligences Theory

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Gisela Emst-Slavit

2001-12-01

Full Text Available In the last years the Theory of the Multiple Intelligences developed by Howard Gardner has had a tremendous impact in elementary and secondary classrooms in the United States. Gardner(1983 defines intelligence as the ability to solve a problem or fashion a product that is valued in one or more cultural settings. His definition expands our understanding of "intelligence" beyond the familiar linguistic and Logical-mathematical intelligences, to include the spatial, musical,bodily-kinesthetic, naturalist. interpersonal, and intrapersonal intelligences. This new wayof conceptualizing human intelligence has profound implications for educators whose task needs to include the identification and nourishment of the different talents brought by al students.

The role of multiple neuromodulators in reinforcement learning that is based on competition between eligibility traces

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Marco A Huertas

2016-12-01

neuromodulators for expressing the LTP and LTD traces? Here we expand on our previous model to include several neuromodulators, and illustrate through various examples how different neuromodulators contribute to learning reward-timing within a wide set of training paradigms and propose further roles that multiple neuromodulators can play in encoding additional information of the rewarding signal.

The Role of Multiple Neuromodulators in Reinforcement Learning That Is Based on Competition between Eligibility Traces.

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Huertas, Marco A; Schwettmann, Sarah E; Shouval, Harel Z

2016-01-01

expressing the LTP and LTD traces? Here we expand on our previous model to include several neuromodulators, and illustrate through various examples how different these contribute to learning reward-timing within a wide set of training paradigms and propose further roles that multiple neuromodulators can play in encoding additional information of the rewarding signal.

Mass detection in digital breast tomosynthesis data using convolutional neural networks and multiple instance learning.

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Yousefi, Mina; Krzyżak, Adam; Suen, Ching Y

2018-05-01

Digital breast tomosynthesis (DBT) was developed in the field of breast cancer screening as a new tomographic technique to minimize the limitations of conventional digital mammography breast screening methods. A computer-aided detection (CAD) framework for mass detection in DBT has been developed and is described in this paper. The proposed framework operates on a set of two-dimensional (2D) slices. With plane-to-plane analysis on corresponding 2D slices from each DBT, it automatically learns complex patterns of 2D slices through a deep convolutional neural network (DCNN). It then applies multiple instance learning (MIL) with a randomized trees approach to classify DBT images based on extracted information from 2D slices. This CAD framework was developed and evaluated using 5040 2D image slices derived from 87 DBT volumes. The empirical results demonstrate that this proposed CAD framework achieves much better performance than CAD systems that use hand-crafted features and deep cardinality-restricted Bolzmann machines to detect masses in DBTs. Copyright © 2018 Elsevier Ltd. All rights reserved.

The Race to the Top--Early Learning Challenge Year Two Progress Report

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US Department of Education, 2014

2014-01-01

The human brain develops rapidly in the first five years of life. High-quality early learning experiences can have a profound and lasting positive effect on young children during these years, setting the stage for success in kindergarten and beyond. This is especially true for young children with high needs who are from low-income families; who…

THE CORRELATION OF LEARNING INDEPENDENCE ATTITUDES AND STUDENT’S LEARNING ACHIEVEMENT ON PHYSICS LEARNING BASED-PORTFOLIO

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Asep Saefullah

2017-05-01

Full Text Available This study aimed to determine correlation between learning independence attitudes and student’s learning achievement. Type of this research is a correlation study to detect the connection of learning independence attitude’s variance in relation to learning achievement variance. This study used an attitude scale to measure the student’s learning independence attitude and objective multiple-choice questions to measure the student’s learning achievement. The results showed that there is a positive correlation (unidirectional and significant betweenthe learning independence attitude and learning achievement. This means that the better student’s learning independence attitude, it will be the better students learning achievement. The attitude of learning independence contributed to 40.96% of students learning achievement.

NFC LearnTracker: Seamless support for learning with mobile and sensor technology

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Tabuenca, Bernardo; Kalz, Marco; Specht, Marcus

2014-01-01

Lifelong learning activities are scattered along the day, in different locations and making use of multiple devices. Most of the times adults have to merge learning, work and everyday life making it difficult to have an account on how much time is devoted to learning activities and learning goals.

Fluoride toxicity and status of serum thyroid hormones, brain histopathology, and learning memory in rats: a multigenerational assessment.

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Basha, Piler Mahaboob; Rai, Puja; Begum, Shabana

2011-12-01

High-fluoride (100 and 200 ppm) water was administered to rats orally to study the fluoride-induced changes on the thyroid hormone status, the histopathology of discrete brain regions, the acetylcholine esterase activity, and the learning and memory abilities in multigeneration rats. Significant decrease in the serum-free thyroxine (FT4) and free triiodothyronine (FT3) levels and decrease in acetylcholine esterase activity in fluoride-treated group were observed. Presence of eosinophilic Purkinje cells, degenerating neurons, decreased granular cells, and vacuolations were noted in discrete brain regions of the fluoride-treated group. In the T-maze experiments, the fluoride-treated group showed poor acquisition and retention and higher latency when compared with the control. The alterations were more profound in the third generation when compared with the first- and second-generation fluoride-treated group. Changes in the thyroid hormone levels in the present study might have imbalanced the oxidant/antioxidant system, which further led to a reduction in learning memory ability. Hence, presence of generational or cumulative effects of fluoride on the development of the offspring when it is ingested continuously through multiple generations is evident from the present study.

Learning to Learn: An Analysis of Early Learning Behaviours Demonstrated by Young Deaf/Hard-of-Hearing Children with High/Low Mathematics Ability

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Pagliaro, Claudia M.; Kritzer, Karen L.

2010-01-01

Using a multiple case-study design, this study compares the early learning behaviours of young deaf/hard-of-hearing (d/hh) children with high/low mathematics ability (as defined by test score on the Test of Early Mathematics Ability-3). Children's simultaneous use of multiple learning behaviours was also examined as were contributing adult…

Demonstration of ipsilateral brain activation by noise in patients profoundly deaf with cochlear implant, or unilaterally deaf

International Nuclear Information System (INIS)

Herzog, H.; Wieler, H.; Morgenstern, C.; Lipman, J.; Langen, K.-J.; Schmid, A.; Rota, E.; Patton, D.; Feinendegen, L.F.

1986-01-01

Two groups of patients with hearing handicaps have been investigated with PET and F-18-2-FDG. Since these patients were unilaterally deaf or profoundly deaf with a cochlear implant installed, monaural stimulation was possible excluding any effects of bone conduction to the contralateral ear. White noise was used as acoustic stimulus in unilaterally deaf patients. The peripheral auditory nerve of cochlear implant patients was stimulated by electrical impulses which were encoded from music or a 4-tone mixture by an electronic speech processor. The non-music stimuli were chosen to avoid associative cortical reactions. In both groups response to the stimuli by increase of glucose consumption (LCMRglc) was found not only in the contralateral primary auditory cortex as expected from neuroanatomical knowledge, but also in the ipsilateral auditory cortex. Furthermore there was no correlation between the hemisphere showing increased LCMRglc and the side of stimulation or the type of stimulus. The similarity of results obtained in both groups by acoustical and electrical stimulation of the auditory nerve suggests that this kind of measurement might be a tool to predict or check the performance of a cochlear implant in a profoundly deaf patient. The finding of increased LCMRglc in the area of the normal auditory cortex in patients profoundly deaf since birth contradicts the hypothesis of degeneration of this cortical center in such patients. (Author)

The Effects of Integrating Social Learning Environment with Online Learning

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Raspopovic, Miroslava; Cvetanovic, Svetlana; Medan, Ivana; Ljubojevic, Danijela

2017-01-01

The aim of this paper is to present the learning and teaching styles using the Social Learning Environment (SLE), which was developed based on the computer supported collaborative learning approach. To avoid burdening learners with multiple platforms and tools, SLE was designed and developed in order to integrate existing systems, institutional…

On the road to invariant recognition: explaining tradeoff and morph properties of cells in inferotemporal cortex using multiple-scale task-sensitive attentive learning.

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Grossberg, Stephen; Markowitz, Jeffrey; Cao, Yongqiang

2011-12-01

Visual object recognition is an essential accomplishment of advanced brains. Object recognition needs to be tolerant, or invariant, with respect to changes in object position, size, and view. In monkeys and humans, a key area for recognition is the anterior inferotemporal cortex (ITa). Recent neurophysiological data show that ITa cells with high object selectivity often have low position tolerance. We propose a neural model whose cells learn to simulate this tradeoff, as well as ITa responses to image morphs, while explaining how invariant recognition properties may arise in stages due to processes across multiple cortical areas. These processes include the cortical magnification factor, multiple receptive field sizes, and top-down attentive matching and learning properties that may be tuned by task requirements to attend to either concrete or abstract visual features with different levels of vigilance. The model predicts that data from the tradeoff and image morph tasks emerge from different levels of vigilance in the animals performing them. This result illustrates how different vigilance requirements of a task may change the course of category learning, notably the critical features that are attended and incorporated into learned category prototypes. The model outlines a path for developing an animal model of how defective vigilance control can lead to symptoms of various mental disorders, such as autism and amnesia. Copyright © 2011 Elsevier Ltd. All rights reserved.

Theory of Multiple Intelligences at Teacher Supervision

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İzzet Döş

2012-07-01

Full Text Available This study aims to determine views of teachers and supervisors related to the multiple intelligences in students’ learning that they took into consideration in the evaluation of teachers during lesson supervision. The study was conducted with 5 supervisors who work at Kahramanmaraş provincial directorate of national education and 10 teachers who work at primary schools in the centre of Kahramanmaraş in 2011-2012 year. Data was gathered with the help of interview form consisting of five open-ended questions. In the analysis of the data content analysis which is one of the qualitative research methods. According to the results of the analysis, it has been found that usage of multiple intelligences theory in the evaluation students’ learning during supervision enabled them to evaluate students’ learning in a more detailed way. It also made it possible for the supervisors to examine supervision evaluations at different levels. It was also mentioned that supervisions made according to multiple intelligence theory has some limitations.

Normality and Impairment following Profound Early Institutional Deprivation: A Longitudinal follow-up into Early Adolescence

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Kreppner, Jana M.; Rutter, Michael; Beckett, Celia; Castle, Jenny; Colvert, Emma; Groothues, Christine; Hawkins, Amanda; O'Connor, Thomas G.; Stevens, Suzanne; Sonuga-Barke, Edmund J. S.

2007-01-01

Longitudinal analyses on normal versus impaired functioning across 7 domains were conducted in children who had experienced profound institutional deprivation up to the age of 42 months and were adopted from Romania into U.K. families. Comparisons were made with noninstitutionalized children adopted from Romania and with nondeprived within-U.K.…

An atypical case of successful resuscitation of an accidental profound hypothermia patient, occurring in a temperate climate.

LENUS (Irish Health Repository)

Coleman, E

2010-03-01

Cases of accidental profound hypothermia occur most frequently in cold, northern climates. We describe an atypical case, occurring in a temperate climate, where a hypothermic cardiac-arrested patient was successfully resuscitated using extracorporeal circulation (ECC).

Human learning: Power laws or multiple characteristic time scales?

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Gottfried Mayer-Kress

2006-09-01

Full Text Available The central proposal of A. Newell and Rosenbloom (1981 was that the power law is the ubiquitous law of learning. This proposition is discussed in the context of the key factors that led to the acceptance of the power law as the function of learning. We then outline the principles of an epigenetic landscape framework for considering the role of the characteristic time scales of learning and an approach to system identification of the processes of performance dynamics. In this view, the change of performance over time is the product of a superposition of characteristic exponential time scales that reflect the influence of different processes. This theoretical approach can reproduce the traditional power law of practice – within the experimental resolution of performance data sets - but we hypothesize that this function may prove to be a special and perhaps idealized case of learning.

Technically Speaking: Transforming Language Learning through Virtual Learning Environments (MOOs).

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von der Emde, Silke; Schneider, Jeffrey; Kotter, Markus

2001-01-01

Draws on experiences from a 7-week exchange between students learning German at an American college and advanced students of English at a German university. Maps out the benefits to using a MOO (multiple user domains object-oriented) for language learning: a student-centered learning environment structured by such objectives as peer teaching,…

The study of 1H-MRS on monkey of resuscitation after cerebral selection ultra-profound hypothermic blood flow occlusion

International Nuclear Information System (INIS)

Pu Jun; Xu Wei; Fang Shaolong; Zhao Xinxiang; Feng Zhongtang; Jiang Jiyao

2005-01-01

Objective: To investigate the appearance and feature of 1 H/protion magnetic resonance spectroscopy ( 1 H-MRS) on resuscitation after cerebral selective ultra-profound hypothermic and blood flow occlusion. To study effects of cerebral biochemical metabolism after cerebral selective ultra-profound hypothermia and blood flow occlusion and to explore the validity and feasibility of it. Methods: Bilateral carotid arteries and jugular veins were clipped about 10 minutes before perfusion. Then selective cerebral circulation was established by perfusion of cooling lingers liquid through right internal carotid artery and flow out of left jugular vein with clip of other carotid arteries and jugular veins. Brain temperature reached (15.1 ± 0.9) degree C, while the body temperature maintained (32.50 ± 0.58) degree C. Cerebral blood recovered after 60 minutes of cerebral ischemia and monkey came back. The cerebral MAI and DWI as well as 1 H-MRS were examined 4, 24, 72 h, 21 days before and after cerebral selective ultro-profound hypothermia and blood flow occlusion. The peak of N-acetyl-aspartate (NAA), Choline (Cho), creatine and phosphocreatine (Cr, PCr) of VOL were compare with those of control group in different time. Results: MRI T 1 WI, MRI T 2 WI and DWI is normal in different time in different region; there was not a significant difference in the ratio of NAA/(Cr+PCr), Cho/(Cr+PCr) in ROI in different time in the different region in the light of statistical analysis (P>0.05). Conclusion: The light of cerebral biochemical metabolism, selective ultra-profound hypothermia is safety and may provide effective protective effects and safety during cerebral ischemia. (authors)

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

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

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

Optimizing Multiple Kernel Learning for the Classification of UAV Data

Directory of Open Access Journals (Sweden)

Caroline M. Gevaert

2016-12-01

Full Text Available Unmanned Aerial Vehicles (UAVs are capable of providing high-quality orthoimagery and 3D information in the form of point clouds at a relatively low cost. Their increasing popularity stresses the necessity of understanding which algorithms are especially suited for processing the data obtained from UAVs. The features that are extracted from the point cloud and imagery have different statistical characteristics and can be considered as heterogeneous, which motivates the use of Multiple Kernel Learning (MKL for classification problems. In this paper, we illustrate the utility of applying MKL for the classification of heterogeneous features obtained from UAV data through a case study of an informal settlement in Kigali, Rwanda. Results indicate that MKL can achieve a classification accuracy of 90.6%, a 5.2% increase over a standard single-kernel Support Vector Machine (SVM. A comparison of seven MKL methods indicates that linearly-weighted kernel combinations based on simple heuristics are competitive with respect to computationally-complex, non-linear kernel combination methods. We further underline the importance of utilizing appropriate feature grouping strategies for MKL, which has not been directly addressed in the literature, and we propose a novel, automated feature grouping method that achieves a high classification accuracy for various MKL methods.

The study of effectiveness of blended learning approach for medical training courses.

Science.gov (United States)

Karamizadeh, Z; Zarifsanayei, N; Faghihi, A A; Mohammadi, H; Habibi, M

2012-01-01

Blended learning as a method of learning that includes face to face learning, pure E-learning and didactic learning. This study aims to investigate the efficacy of medical education by this approach. This interventional study was performed in 130 students at different clinical levels participating in class sessions on "congenital adrenal hyperplasia and ambiguous genitalia". Sampling was done gradually during 6 months and all of them filled a pretest questionnaire and received an educational compact disk. One week later, a presence class session was held in a question and answer and problem solving method. Two to four weeks later, they filled a posttest questionnaire. There was a significant correlation between pretest and posttest scores and the posttest scores were significantly more than the pretest ones. Sub-specialized residents had the most and the students had the least attitude towards blended learning approach. There was a significant correlation between the research samples' accessibility to computer and their attitude and satisfaction to blended learning approach. Findings generally showed that the blended learning was an effective approach in making a profound learning of academic subjects.

Interleaved Practice in Multi-Dimensional Learning Tasks: Which Dimension Should We Interleave?

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Rau, Martina A.; Aleven, Vincent; Rummel, Nikol

2013-01-01

Research shows that multiple representations can enhance student learning. Many curricula use multiple representations across multiple task types. The temporal sequence of representations and task types is likely to impact student learning. Research on contextual interference shows that interleaving learning tasks leads to better learning results…

Self-Directed Learning: A Tool for Lifelong Learning

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Boyer, Stefanie L.; Edmondson, Diane R.; Artis, Andrew B.; Fleming, David

2014-01-01

A meta-analytic review of self-directed learning (SDL) research over 30 years, five countries, and across multiple academic disciplines is used to explore its relationships with five key nomologically related constructs for effective workplace learning. The meta-analysis revealed positive relationships between SDL and internal locus of control,…

Schooling Built on the Multiple Intelligences

Science.gov (United States)

Kunkel, Christine D.

2009-01-01

This article features a school built on multiple intelligences. As the first multiple intelligences school in the world, the Key Learning Community shapes its students' days to include significant time in the musical, spatial and bodily-kinesthetic intelligences, as well as the more traditional areas of logical-mathematical and linguistics. In…

Cross-Situational Learning with Bayesian Generative Models for Multimodal Category and Word Learning in Robots

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Akira Taniguchi

2017-12-01

Full Text Available In this paper, we propose a Bayesian generative model that can form multiple categories based on each sensory-channel and can associate words with any of the four sensory-channels (action, position, object, and color. This paper focuses on cross-situational learning using the co-occurrence between words and information of sensory-channels in complex situations rather than conventional situations of cross-situational learning. We conducted a learning scenario using a simulator and a real humanoid iCub robot. In the scenario, a human tutor provided a sentence that describes an object of visual attention and an accompanying action to the robot. The scenario was set as follows: the number of words per sensory-channel was three or four, and the number of trials for learning was 20 and 40 for the simulator and 25 and 40 for the real robot. The experimental results showed that the proposed method was able to estimate the multiple categorizations and to learn the relationships between multiple sensory-channels and words accurately. In addition, we conducted an action generation task and an action description task based on word meanings learned in the cross-situational learning scenario. The experimental results showed that the robot could successfully use the word meanings learned by using the proposed method.

Retrieval practice with short-answer, multiple-choice, and hybrid tests.

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Smith, Megan A; Karpicke, Jeffrey D

2014-01-01

Retrieval practice improves meaningful learning, and the most frequent way of implementing retrieval practice in classrooms is to have students answer questions. In four experiments (N=372) we investigated the effects of different question formats on learning. Students read educational texts and practised retrieval by answering short-answer, multiple-choice, or hybrid questions. In hybrid conditions students first attempted to recall answers in short-answer format, then identified answers in multiple-choice format. We measured learning 1 week later using a final assessment with two types of questions: those that could be answered by recalling information verbatim from the texts and those that required inferences. Practising retrieval in all format conditions enhanced retention, relative to a study-only control condition, on both verbatim and inference questions. However, there were little or no advantages of answering short-answer or hybrid format questions over multiple-choice questions in three experiments. In Experiment 4, when retrieval success was improved under initial short-answer conditions, there was an advantage of answering short-answer or hybrid questions over multiple-choice questions. The results challenge the simple conclusion that short-answer questions always produce the best learning, due to increased retrieval effort or difficulty, and demonstrate the importance of retrieval success for retrieval-based learning activities.

Does supporting multiple student strategies lead to greater learning and motivation? Investigating a source of complexity in the architecture of intelligent tutoring systems

NARCIS (Netherlands)

Waalkens, Maaike; Aleven, Vincent; Taatgen, Niels

Intelligent tutoring systems (ITS) support students in learning a complex problem-solving skill. One feature that makes an ITS architecturally complex, and hard to build, is support for strategy freedom, that is, the ability to let students pursue multiple solution strategies within a given problem.

The Effect of Differentiating Instruction Using Multiple Intelligences on Achievement in and Attitudes towards Science in Middle School Students with Learning Disabilities

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Gomaa, Omema Mostafa Kamel

2014-01-01

This study investigated the effect of using differentiated instruction using multiple intelligences on achievement in and attitudes towards science in middle school students with learning disabilities. A total of 61 students identified with LD participated. The sample was randomly divided into two groups; experimental (n= 31 boys )and control (n=…

Conditional discrimination learning: A critique and amplification

OpenAIRE

Schrier, Allan M.; Thompson, Claudia R.

1980-01-01

Carter and Werner recently reviewed the literature on conditional discrimination learning by pigeons, which consists of studies of matching-to-sample and oddity-from-sample. They also discussed three models of such learning: the “multiple-rule” model (learning of stimulus-specific relations), the “configuration” model, and the “single-rule” model (concept learning). Although their treatment of the multiple-rule model, which seems most applicable to the pigeon data, is generally excellent, the...

No trade-off between learning speed and associative flexibility in bumblebees: a reversal learning test with multiple colonies.

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Nigel E Raine

Full Text Available Potential trade-offs between learning speed and memory-related performance could be important factors in the evolution of learning. Here, we test whether rapid learning interferes with the acquisition of new information using a reversal learning paradigm. Bumblebees (Bombus terrestris were trained to associate yellow with a floral reward. Subsequently the association between colour and reward was reversed, meaning bees then had to learn to visit blue flowers. We demonstrate that individuals that were fast to learn yellow as a predictor of reward were also quick to reverse this association. Furthermore, overnight memory retention tests suggest that faster learning individuals are also better at retaining previously learned information. There is also an effect of relatedness: colonies whose workers were fast to learn the association between yellow and reward also reversed this association rapidly. These results are inconsistent with a trade-off between learning speed and the reversal of a previously made association. On the contrary, they suggest that differences in learning performance and cognitive (behavioural flexibility could reflect more general differences in colony learning ability. Hence, this study provides additional evidence to support the idea that rapid learning and behavioural flexibility have adaptive value.

ETHICAL CHALLENGES OF THE E-LEARNING SYSTEM

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MARIA CERNAT

2013-05-01

Full Text Available This article is the result of a four years teaching experience in one of the largest and controversial Romanian Universities using the E-learning system: Spiru Haret. It is a well-known fact that this was the first Romanian academic institution that used the E-learning techniques in wide and systematic way. Numerous articles appeared in the press in 2009 when the scandal of fake diplomas first started. This article is the perspective of an insider, that is, of someone who taught information and communication techniques in this institution for several years. I consider my experience and my findings to be balanced and objective and I also believe that we have to analyze things in a more profound and rational manner after the 2009 media storm ended. My article provides very useful information in this area since there are no academic articles on the way this Romanian academic institution (misunderstands the power of E-learning tools.

Parental Adaptation to Out-of-Home Placement of a Child with Severe or Profound Developmental Disabilities

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Jackson, Jeffrey B.; Roper, Susanne Olsen

2014-01-01

Utilizing grounded theory qualitative research methods, a model was developed for describing parental adaptation after voluntary placement of a child with severe or profound developmental disabilities in out-of-home care. Interviews of parents from 20 families were analyzed. Parents' cognitive appraisals of placement outcomes were classified…

Attuning: A Communication Process between People with Severe and Profound Intellectual Disability and Their Interaction Partners

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Griffiths, Colin; Smith, Martine

2016-01-01

Background: People with severe and profound intellectual disability typically demonstrate a limited ability to communicate effectively. Most of their communications are non-verbal, often idiosyncratic and ambiguous. This article aims to identify the process that regulates communications of this group of people with others and to describe the…

Achieving and sustaining profound institutional change in healthcare: case study using neo-institutional theory.

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Macfarlane, Fraser; Barton-Sweeney, Cathy; Woodard, Fran; Greenhalgh, Trisha

2013-03-01

Change efforts in healthcare sometimes have an ambitious, whole-system remit and seek to achieve fundamental changes in norms and organisational culture rather than (or as well as) restructuring the service. Long-term evaluation of such initiatives is rarely undertaken. We report a secondary analysis of data from an evaluation of a profound institutional change effort in London, England, using a mixed-method longitudinal case study design. The service had received £15 million modernisation funding in 2004, covering multiple organisations and sectors and overseen by a bespoke management and governance infrastructure that was dismantled in 2008. In 2010-11, we gathered data (activity statistics, documents, interviews, questionnaires, site visits) and compared these with data from 2003 to 2008. Data analysis was informed by neo-institutional theory, which considers organisational change as resulting from the material-resource environment and three 'institutional pillars' (regulative, normative and cultural-cognitive), enacted and reproduced via the identities, values and activities of human actors. Explaining the long-term fortunes of the different components of the original programme and their continuing adaptation to a changing context required attention to all three of Scott's pillars and to the interplay between macro institutional structures and embedded human agency. The paper illustrates how neo-institutional theory (which is typically used by academics to theorise macro-level changes in institutional structures over time) can also be applied at a more meso level to inform an empirical analysis of how healthcare organisations achieve change and what helps or hinders efforts to sustain those changes. Copyright © 2013 Elsevier Ltd. All rights reserved.

A Learning Activity Design Framework for Supporting Mobile Learning

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Jalal Nouri

2016-01-01

Full Text Available This article introduces the Learning Activity Design (LEAD framework for the development and implementation of mobile learning activities in primary schools. The LEAD framework draws on methodological perspectives suggested by design-based research and interaction design in the specific field of technology-enhanced learning (TEL. The LEAD framework is grounded in four design projects conducted over a period of six years. It contributes a new understanding of the intricacies and multifaceted aspects of the design-process characterizing the development and implementation of mobile devices (i.e. smart phones and tablets in curricular activities conducted in Swedish primary schools. This framework is intended to provide both designers and researchers with methodological tools that take account of the pedagogical foundations of technologically-based educational interventions, usability issues related to the interaction with the mobile application developed, multiple data streams generated during the design project, multiple stakeholders involved in the design process and sustainability aspects of the mobile learning activities implemented in the school classroom.

Multiple Pathways to Learning: An Examination of Universal Design and Online Strategic Learning in Higher Education

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Hicks, Maryruth Wilks

2010-01-01

The purpose of this study was to examine the effectiveness of universally designed (UD) instruction on strategic learning in an online, interactive learning environment (ILE). The research focused on the premise that the customizable, media-based framework of UD instruction might influence diverse online learning strategies. This study…

Profound vision loss impairs psychological well-being in young and middle-aged individuals

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Garcia GA

2017-02-01

Full Text Available Giancarlo A Garcia,1,2 Matin Khoshnevis,1,3 Jesse Gale,1,4 Starleen E Frousiakis,1,5 Tiffany J Hwang,1,6 Lissa Poincenot,1 Rustum Karanjia,1,7–9 David Baron,6 Alfredo A Sadun1,7 1Doheny Eye Institute, Los Angeles, CA, USA; 2University of California, Irvine School of Medicine, Irvine, CA, USA; 3Department of Ophthalmology, Temple University, Philadelphia, PA, USA; 4Wellington School of Medicine and Health Sciences, University of Otago, Wellington, NZ; 5Department of Ophthalmology, New York Medical College, Valhalla, NY, USA; 6Department of Psychiatry & The Behavioral Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; 7Doheny Eye Centers, Department of Ophthalmology, David Geffen School of Medicine at UCLA, Los Angeles California, CA, USA; 8Department of Ophthalmology, University of Ottawa, Ottawa, ON, Canada; 9Ottawa Hospital Health Research Institute, Ottawa, ON, Canada Purpose: The aim of this study was to evaluate the effects of profound vision loss on psychological well-being in adolescents, young adults, and middle-aged adults with regard to mood, interpersonal interactions, and career-related goals. In addition, we assessed the significance of the resources that may be used to enhance psychological well-being in cases of profound vision loss, and in particular, examined the utility of low vision aids and the role of the ophthalmologist as a provider of emotional support.Methods: A questionnaire was issued to individuals aged 13–65 years with profound vision loss resulting from Leber’s hereditary optic neuropathy (LHON. Depression prevalence was evaluated with questions regarding major depressive disorder symptomatology. Participants appraised the effects of vision loss on their interpersonal interactions and career goals by providing an impact rating (IR on a 21-point psychometric scale from −10 to +10. Social well-being index was defined as the average of interpersonal IR and career IR

Multiple kernel boosting framework based on information measure for classification

International Nuclear Information System (INIS)

Qi, Chengming; Wang, Yuping; Tian, Wenjie; Wang, Qun

2016-01-01

The performance of kernel-based method, such as support vector machine (SVM), is greatly affected by the choice of kernel function. Multiple kernel learning (MKL) is a promising family of machine learning algorithms and has attracted many attentions in recent years. MKL combines multiple sub-kernels to seek better results compared to single kernel learning. In order to improve the efficiency of SVM and MKL, in this paper, the Kullback–Leibler kernel function is derived to develop SVM. The proposed method employs an improved ensemble learning framework, named KLMKB, which applies Adaboost to learning multiple kernel-based classifier. In the experiment for hyperspectral remote sensing image classification, we employ feature selected through Optional Index Factor (OIF) to classify the satellite image. We extensively examine the performance of our approach in comparison to some relevant and state-of-the-art algorithms on a number of benchmark classification data sets and hyperspectral remote sensing image data set. Experimental results show that our method has a stable behavior and a noticeable accuracy for different data set.

PENERAPAN MULTIPLE INTELEGENSI DALAM KEGIATAN BELAJAR-MENGAJAR

OpenAIRE

Nur Samsiyah

2016-01-01

Multiple intelegence is integrated inteligence possessed by anyone. Intelligence has been difined as the composition of ability and skill. Multiple intelligence consists of nine types of intelligence, i.e. linguistic, logic-mathematic, spatial, musical, kinesthetic, interpersonal, intrapersonal, naturalistic and extencial intelligence, each of which has its own characteristics. Multiple intelligence learning strategy empowers students to access information through intelligence that they do ha...

A Parametric Learning and Identification Based Robust Iterative Learning Control for Time Varying Delay Systems

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Lun Zhai

2014-01-01

Full Text Available A parametric learning based robust iterative learning control (ILC scheme is applied to the time varying delay multiple-input and multiple-output (MIMO linear systems. The convergence conditions are derived by using the H∞ and linear matrix inequality (LMI approaches, and the convergence speed is analyzed as well. A practical identification strategy is applied to optimize the learning laws and to improve the robustness and performance of the control system. Numerical simulations are illustrated to validate the above concepts.

Quality of Care for Patients with Multiple Chronic Conditions: The Role of Comorbidity Interrelatedness

OpenAIRE

Zulman, Donna M.; Asch, Steven M.; Martins, Susana B.; Kerr, Eve A.; Hoffman, Brian B.; Goldstein, Mary K.

2013-01-01

Multimorbidity—the presence of multiple chronic conditions in a patient—has a profound impact on health, health care utilization, and associated costs. Definitions of multimorbidity in clinical care and research have evolved over time, initially focusing on a patient’s number of comorbidities and the associated magnitude of required care processes, and later recognizing the potential influence of comorbidity characteristics on patient care and outcomes. In this article, we review the relation...

Language Learning Enhanced by Massive Multiple Online Role-Playing Games (MMORPGs) and the Underlying Behavioral and Neural Mechanisms

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Zhang, Yongjun; Song, Hongwen; Liu, Xiaoming; Tang, Dinghong; Chen, Yue-e; Zhang, Xiaochu

2017-01-01

Massive Multiple Online Role-Playing Games (MMORPGs) have increased in popularity among children, juveniles, and adults since MMORPGs’ appearance in this digital age. MMORPGs can be applied to enhancing language learning, which is drawing researchers’ attention from different fields and many studies have validated MMORPGs’ positive effect on language learning. However, there are few studies on the underlying behavioral or neural mechanism of such effect. This paper reviews the educational application of the MMORPGs based on relevant macroscopic and microscopic studies, showing that gamers’ overall language proficiency or some specific language skills can be enhanced by real-time online interaction with peers and game narratives or instructions embedded in the MMORPGs. Mechanisms underlying the educational assistant role of MMORPGs in second language learning are discussed from both behavioral and neural perspectives. We suggest that attentional bias makes gamers/learners allocate more cognitive resources toward task-related stimuli in a controlled or an automatic way. Moreover, with a moderating role played by activation of reward circuit, playing the MMORPGs may strengthen or increase functional connectivity from seed regions such as left anterior insular/frontal operculum (AI/FO) and visual word form area to other language-related brain areas. PMID:28303097

Language Learning Enhanced by Massive Multiple Online Role-Playing Games (MMORPGs) and the Underlying Behavioral and Neural Mechanisms.

Science.gov (United States)

Zhang, Yongjun; Song, Hongwen; Liu, Xiaoming; Tang, Dinghong; Chen, Yue-E; Zhang, Xiaochu

2017-01-01

Massive Multiple Online Role-Playing Games (MMORPGs) have increased in popularity among children, juveniles, and adults since MMORPGs' appearance in this digital age. MMORPGs can be applied to enhancing language learning, which is drawing researchers' attention from different fields and many studies have validated MMORPGs' positive effect on language learning. However, there are few studies on the underlying behavioral or neural mechanism of such effect. This paper reviews the educational application of the MMORPGs based on relevant macroscopic and microscopic studies, showing that gamers' overall language proficiency or some specific language skills can be enhanced by real-time online interaction with peers and game narratives or instructions embedded in the MMORPGs. Mechanisms underlying the educational assistant role of MMORPGs in second language learning are discussed from both behavioral and neural perspectives. We suggest that attentional bias makes gamers/learners allocate more cognitive resources toward task-related stimuli in a controlled or an automatic way. Moreover, with a moderating role played by activation of reward circuit, playing the MMORPGs may strengthen or increase functional connectivity from seed regions such as left anterior insular/frontal operculum (AI/FO) and visual word form area to other language-related brain areas.

Histones induce rapid and profound thrombocytopenia in mice

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Bhandari, Ashish A.

2011-01-01

Histones are released from dying cells and contribute to antimicrobial defense during infection. However, extracellular histones are a double-edged sword because they also damage host tissue and may cause death. We studied the interactions of histones with platelets. Histones bound to platelets, induced calcium influx, and recruited plasma adhesion proteins such as fibrinogen to induce platelet aggregation. Hereby fibrinogen cross-linked histone-bearing platelets and triggered microaggregation. Fibrinogen interactions with αIIbβ3 integrins were not required for this process but were necessary for the formation of large platelet aggregates. Infused histones associated with platelets in vivo and caused a profound thrombocytopenia within minutes after administration. Mice lacking platelets or αIIbβ3 integrins were protected from histone-induced death but not from histone-induced tissue damage. Heparin, at high concentrations, prevented histone interactions with platelets and protected mice from histone-induced thrombocytopenia, tissue damage, and death. Heparin and histones are evolutionary maintained. Histones may combine microbicidal with prothrombotic properties to fight invading microbes and maintain hemostasis after injury. Heparin may provide an innate counter mechanism to neutralize histones and diminish collateral tissue damage. PMID:21700775

Whole exome sequencing identifies mutations in Usher syndrome genes in profoundly deaf Tunisian patients.

Science.gov (United States)

Riahi, Zied; Bonnet, Crystel; Zainine, Rim; Lahbib, Saida; Bouyacoub, Yosra; Bechraoui, Rym; Marrakchi, Jihène; Hardelin, Jean-Pierre; Louha, Malek; Largueche, Leila; Ben Yahia, Salim; Kheirallah, Moncef; Elmatri, Leila; Besbes, Ghazi; Abdelhak, Sonia; Petit, Christine

2015-01-01

Usher syndrome (USH) is an autosomal recessive disorder characterized by combined deafness-blindness. It accounts for about 50% of all hereditary deafness blindness cases. Three clinical subtypes (USH1, USH2, and USH3) are described, of which USH1 is the most severe form, characterized by congenital profound deafness, constant vestibular dysfunction, and a prepubertal onset of retinitis pigmentosa. We performed whole exome sequencing in four unrelated Tunisian patients affected by apparently isolated, congenital profound deafness, with reportedly normal ocular fundus examination. Four biallelic mutations were identified in two USH1 genes: a splice acceptor site mutation, c.2283-1G>T, and a novel missense mutation, c.5434G>A (p.Glu1812Lys), in MYO7A, and two previously unreported mutations in USH1G, i.e. a frameshift mutation, c.1195_1196delAG (p.Leu399Alafs*24), and a nonsense mutation, c.52A>T (p.Lys18*). Another ophthalmological examination including optical coherence tomography actually showed the presence of retinitis pigmentosa in all the patients. Our findings provide evidence that USH is under-diagnosed in Tunisian deaf patients. Yet, early diagnosis of USH is of utmost importance because these patients should undergo cochlear implant surgery in early childhood, in anticipation of the visual loss.

Whole exome sequencing identifies mutations in Usher syndrome genes in profoundly deaf Tunisian patients.

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Zied Riahi

Full Text Available Usher syndrome (USH is an autosomal recessive disorder characterized by combined deafness-blindness. It accounts for about 50% of all hereditary deafness blindness cases. Three clinical subtypes (USH1, USH2, and USH3 are described, of which USH1 is the most severe form, characterized by congenital profound deafness, constant vestibular dysfunction, and a prepubertal onset of retinitis pigmentosa. We performed whole exome sequencing in four unrelated Tunisian patients affected by apparently isolated, congenital profound deafness, with reportedly normal ocular fundus examination. Four biallelic mutations were identified in two USH1 genes: a splice acceptor site mutation, c.2283-1G>T, and a novel missense mutation, c.5434G>A (p.Glu1812Lys, in MYO7A, and two previously unreported mutations in USH1G, i.e. a frameshift mutation, c.1195_1196delAG (p.Leu399Alafs*24, and a nonsense mutation, c.52A>T (p.Lys18*. Another ophthalmological examination including optical coherence tomography actually showed the presence of retinitis pigmentosa in all the patients. Our findings provide evidence that USH is under-diagnosed in Tunisian deaf patients. Yet, early diagnosis of USH is of utmost importance because these patients should undergo cochlear implant surgery in early childhood, in anticipation of the visual loss.

A Preliminary Investigation of the Suitability of Aquatics for People with Severe and Profound Intellectual Disabilities

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Aherne, Cian; Coughlan, Barry

2017-01-01

Background: Aquatics is an under-researched but possibly appropriate form of activity for people with severe to profound intellectual disabilities (SPIDs). Aim: The current pilot study investigates the suitability of an aquatics programme for service users with SPIDs. Method: Four service users with SPID completed an 8-12-session aquatics…

"More Confident Going into College": Lessons Learned from Multiple Stakeholders in a New Blended Learning Initiative

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Whiteside, Aimee L.; Garrett Dikkers, Amy; Lewis, Somer

2016-01-01

This article examined a blended learning initiative in a large suburban high school in the Midwestern region of the United States. It employed a single-case exploratory design approach to learn about the experience of administrators, teachers, students, and parents. Using Zimmerman's Self-Regulated Learning (SRL) Theory as a guiding framework,…

From Long-Stay Hospitals to Community Care: Reconstructing the Narratives of People with Learning Disabilities

Science.gov (United States)

Leaning, Brian; Adderley, Hope

2016-01-01

Raymond, a 62 year old gentleman diagnosed with severe and profound learning disabilities, autistic spectrum disorder and severe challenging behaviour, who had lived in long stay campus-based hospital accommodation for 46 years was supported to move to a community project developed to support people to live in their own bespoke flat. This…

Role Playing in Online Education: A Teaching Tool to Enhance Student Engagement and Sustained Learning

Science.gov (United States)

Bender, Tisha

2005-01-01

As online education escalates, it is important for instructors to explore teaching techniques that engage students and enhance learning at a profound level. To achieve this goal, instructors must look at the primarily text-based environment of the online class not as a limitation, but as an opportunity. Attentive and highly personal teaching that…

Effects of prior knowledge on learning from different compositions of representations in a mobile learning environment

NARCIS (Netherlands)

T.-C. Liu (Tzu-Chien); Y.-C. Lin (Yi-Chun); G.W.C. Paas (Fred)

2014-01-01

textabstractTwo experiments examined the effects of prior knowledge on learning from different compositions of multiple representations in a mobile learning environment on plant leaf morphology for primary school students. Experiment 1 compared the learning effects of a mobile learning environment

Fast automated segmentation of multiple objects via spatially weighted shape learning

Science.gov (United States)

Chandra, Shekhar S.; Dowling, Jason A.; Greer, Peter B.; Martin, Jarad; Wratten, Chris; Pichler, Peter; Fripp, Jurgen; Crozier, Stuart

2016-11-01

Active shape models (ASMs) have proved successful in automatic segmentation by using shape and appearance priors in a number of areas such as prostate segmentation, where accurate contouring is important in treatment planning for prostate cancer. The ASM approach however, is heavily reliant on a good initialisation for achieving high segmentation quality. This initialisation often requires algorithms with high computational complexity, such as three dimensional (3D) image registration. In this work, we present a fast, self-initialised ASM approach that simultaneously fits multiple objects hierarchically controlled by spatially weighted shape learning. Prominent objects are targeted initially and spatial weights are progressively adjusted so that the next (more difficult, less visible) object is simultaneously initialised using a series of weighted shape models. The scheme was validated and compared to a multi-atlas approach on 3D magnetic resonance (MR) images of 38 cancer patients and had the same (mean, median, inter-rater) Dice’s similarity coefficients of (0.79, 0.81, 0.85), while having no registration error and a computational time of 12-15 min, nearly an order of magnitude faster than the multi-atlas approach.

A novel whole-cell mechanism for long-term memory enhancement.

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Iris Reuveni

Full Text Available Olfactory-discrimination learning was shown to induce a profound long-lasting enhancement in the strength of excitatory and inhibitory synapses of pyramidal neurons in the piriform cortex. Notably, such enhancement was mostly pronounced in a sub-group of neurons, entailing about a quarter of the cell population. Here we first show that the prominent enhancement in the subset of cells is due to a process in which all excitatory synapses doubled their strength and that this increase was mediated by a single process in which the AMPA channel conductance was doubled. Moreover, using a neuronal-network model, we show how such a multiplicative whole-cell synaptic strengthening in a sub-group of cells that form a memory pattern, sub-serves a profound selective enhancement of this memory. Network modeling further predicts that synaptic inhibition should be modified by complex learning in a manner that much resembles synaptic excitation. Indeed, in a subset of neurons all GABAA-receptors mediated inhibitory synapses also doubled their strength after learning. Like synaptic excitation, Synaptic inhibition is also enhanced by two-fold increase of the single channel conductance. These findings suggest that crucial learning induces a multiplicative increase in strength of all excitatory and inhibitory synapses in a subset of cells, and that such an increase can serve as a long-term whole-cell mechanism to profoundly enhance an existing Hebbian-type memory. This mechanism does not act as synaptic plasticity mechanism that underlies memory formation but rather enhances the response of already existing memory. This mechanism is cell-specific rather than synapse-specific; it modifies the channel conductance rather than the number of channels and thus has the potential to be readily induced and un-induced by whole-cell transduction mechanisms.

Picture this: The value of multiple visual representations for student learning of quantum concepts in general chemistry

Science.gov (United States)

Allen, Emily Christine

Mental models for scientific learning are often defined as, "cognitive tools situated between experiments and theories" (Duschl & Grandy, 2012). In learning, these cognitive tools are used to not only take in new information, but to help problem solve in new contexts. Nancy Nersessian (2008) describes a mental model as being "[loosely] characterized as a representation of a system with interactive parts with representations of those interactions. Models can be qualitative, quantitative, and/or simulative (mental, physical, computational)" (p. 63). If conceptual parts used by the students in science education are inaccurate, then the resulting model will not be useful. Students in college general chemistry courses are presented with multiple abstract topics and often struggle to fit these parts into complete models. This is especially true for topics that are founded on quantum concepts, such as atomic structure and molecular bonding taught in college general chemistry. The objectives of this study were focused on how students use visual tools introduced during instruction to reason with atomic and molecular structure, what misconceptions may be associated with these visual tools, and how visual modeling skills may be taught to support students' use of visual tools for reasoning. The research questions for this study follow from Gilbert's (2008) theory that experts use multiple representations when reasoning and modeling a system, and Kozma and Russell's (2005) theory of representational competence levels. This study finds that as students developed greater command of their understanding of abstract quantum concepts, they spontaneously provided additional representations to describe their more sophisticated models of atomic and molecular structure during interviews. This suggests that when visual modeling with multiple representations is taught, along with the limitations of the representations, it can assist students in the development of models for reasoning about

Differential Vocational Rehabilitation Service Patterns Related to the Job Retention and Job-Seeking Needs of Individuals with Multiple Sclerosis

Science.gov (United States)

Tansey, Timothy N.; Strauser, David; Frain, Michael P.; Bishop, Malachy; Chiu, Chung-Yi; Kaya, Cahit; Chan, Fong

2015-01-01

The experience of living with multiple sclerosis (MS) can have a profound effect on employment. The impact of MS is a complex interaction of personal, medical, functional, financial, and psychosocial variables that ultimately results in up to 80% of persons with MS leaving their jobs within 10 years of their diagnosis. The aim of this study was to…

The Multiple Intelligences Teaching Method and Mathematics ...

African Journals Online (AJOL)

The Multiple Intelligences teaching approach has evolved and been embraced widely especially in the United States. The approach has been found to be very effective in changing situations for the better, in the teaching and learning of any subject especially mathematics. Multiple Intelligences teaching approach proposes ...

USE OF MULTIPLE RESPONSE QUESTIONS (MRQS DURING LECTURE SESSIONS AS A TOOL TO ENHANCE LEARNING

Directory of Open Access Journals (Sweden)

Rosh

2015-12-01

Full Text Available INTRODUCTION Lecture classes are time tested solid method of teaching and have lot of advantages and few disadvantages. The main drawback is its unidirectional monotonous nature and many a time students fail to concentrate and understand especially when the sessions are long, and from the students’ point of view, many are boring too. Lecture sessions are still continued because of its various advantages. There are many methods tried to improve efficacy and effectiveness of lecture sessions including reinforcement, questions and discussions. There are many studies incorporating multiple choice questions (MCQs in lecture sessions for this purpose, with positive results. These sessions evoke creative thinking and enhance learning. For this purpose MCQs are to be prepared with care considering the areas to be covered. In order to make lecture classes more impressive, interesting and effective, we tried introducing a short multiple response session in between, along with some rewards for correct responses in terms of study materials. AIMS AND OBJECTIVES To study the impact of incorporation of MRQs during theory sessions to enhance the efficacy of teaching- learning process MATERIAL AND METHODS Study was conducted in a private medical college in Calicut. We surveyed 169 MBBS students initially with questionnaire covering various aspects of a lecture classes in general. For the next 6 months we incorporated MRQs in routine theory classes. Survey was then conducted again on the same group using same questionnaire and the results were compared. Scores were given according to performance, a maximum of 5 per question. RESULTS After 6 months the data showed substantial improvement in the understanding pattern of students. The average score regarding the usefulness increased from 3.57 to 3.91. After the intervention a substantial number agreed that the sessions have become more interesting, the score changed from 2.99 to 3.87. This also increased the

Localized Multiple Kernel Learning A Convex Approach

Science.gov (United States)

2016-11-22

data. All the aforementioned approaches to localized MKL are formulated in terms of non-convex optimization problems, and deep the- oretical...learning. IEEE Transactions on Neural Networks, 22(3):433–446, 2011. Jingjing Yang, Yuanning Li, Yonghong Tian, Lingyu Duan, and Wen Gao. Group-sensitive

Automated Whole-Body Bone Lesion Detection for Multiple Myeloma on 68Ga-Pentixafor PET/CT Imaging Using Deep Learning Methods.

Science.gov (United States)

Xu, Lina; Tetteh, Giles; Lipkova, Jana; Zhao, Yu; Li, Hongwei; Christ, Patrick; Piraud, Marie; Buck, Andreas; Shi, Kuangyu; Menze, Bjoern H

2018-01-01

The identification of bone lesions is crucial in the diagnostic assessment of multiple myeloma (MM). 68 Ga-Pentixafor PET/CT can capture the abnormal molecular expression of CXCR-4 in addition to anatomical changes. However, whole-body detection of dozens of lesions on hybrid imaging is tedious and error prone. It is even more difficult to identify lesions with a large heterogeneity. This study employed deep learning methods to automatically combine characteristics of PET and CT for whole-body MM bone lesion detection in a 3D manner. Two convolutional neural networks (CNNs), V-Net and W-Net, were adopted to segment and detect the lesions. The feasibility of deep learning for lesion detection on 68 Ga-Pentixafor PET/CT was first verified on digital phantoms generated using realistic PET simulation methods. Then the proposed methods were evaluated on real 68 Ga-Pentixafor PET/CT scans of MM patients. The preliminary results showed that deep learning method can leverage multimodal information for spatial feature representation, and W-Net obtained the best result for segmentation and lesion detection. It also outperformed traditional machine learning methods such as random forest classifier (RF), k -Nearest Neighbors ( k -NN), and support vector machine (SVM). The proof-of-concept study encourages further development of deep learning approach for MM lesion detection in population study.

Automated Whole-Body Bone Lesion Detection for Multiple Myeloma on 68Ga-Pentixafor PET/CT Imaging Using Deep Learning Methods

Directory of Open Access Journals (Sweden)

Lina Xu

2018-01-01

Full Text Available The identification of bone lesions is crucial in the diagnostic assessment of multiple myeloma (MM. 68Ga-Pentixafor PET/CT can capture the abnormal molecular expression of CXCR-4 in addition to anatomical changes. However, whole-body detection of dozens of lesions on hybrid imaging is tedious and error prone. It is even more difficult to identify lesions with a large heterogeneity. This study employed deep learning methods to automatically combine characteristics of PET and CT for whole-body MM bone lesion detection in a 3D manner. Two convolutional neural networks (CNNs, V-Net and W-Net, were adopted to segment and detect the lesions. The feasibility of deep learning for lesion detection on 68Ga-Pentixafor PET/CT was first verified on digital phantoms generated using realistic PET simulation methods. Then the proposed methods were evaluated on real 68Ga-Pentixafor PET/CT scans of MM patients. The preliminary results showed that deep learning method can leverage multimodal information for spatial feature representation, and W-Net obtained the best result for segmentation and lesion detection. It also outperformed traditional machine learning methods such as random forest classifier (RF, k-Nearest Neighbors (k-NN, and support vector machine (SVM. The proof-of-concept study encourages further development of deep learning approach for MM lesion detection in population study.

Using reusable learning objects (rlos) in injection skills teaching: Evaluations from multiple user types.

Science.gov (United States)

Williams, Julia; O'Connor, Mórna; Windle, Richard; Wharrad, Heather J

2015-12-01

Clinical skills are a critical component of pre-registration nurse education in the United Kingdom, yet there is widespread concern about the clinical skills displayed by newly-qualified nurses. Novel means of supporting clinical skills education are required to address this. A package of Reusable Learning Objects (RLOs) was developed to supplement pre-registration teaching on the clinical skill of administering injection medication. RLOs are electronic resources addressing a single learning objective whose interactivity facilitates learning. This article evaluates a package of five injection RLOs across three studies: (1) questionnaires administered to pre-registration nursing students at University of Nottingham (UoN) (n=46) evaluating the RLO package as a whole; (2) individual RLOs evaluated in online questionnaires by educators and students from UoN; from other national and international institutions; and healthcare professionals (n=265); (3) qualitative evaluation of the RLO package by UoN injection skills tutors (n=6). Data from all studies were assessed for (1) access to, (2) usefulness, (3) impact and (4) integration of the RLOs. Study one found that pre-registration nursing students rate the RLO package highly across all categories, particularly underscoring the value of their self-test elements. Study two found high ratings in online assessments of individual RLOs by multiple users. The global reach is particularly encouraging here. Tutors reported insufficient levels of student-RLO access, which might be explained by the timing of their student exposure. Tutors integrate RLOs into teaching and agree on their use as teaching supplements, not substitutes for face-to-face education. This evaluation encompasses the first years postpackage release. Encouraging data on evaluative categories in this early review suggest that future evaluations are warranted to track progress as the package is adopted and evaluated more widely. Copyright © 2015 Elsevier Ltd

Maze learning by a hybrid brain-computer system.

Science.gov (United States)

Wu, Zhaohui; Zheng, Nenggan; Zhang, Shaowu; Zheng, Xiaoxiang; Gao, Liqiang; Su, Lijuan

2016-09-13

The combination of biological and artificial intelligence is particularly driven by two major strands of research: one involves the control of mechanical, usually prosthetic, devices by conscious biological subjects, whereas the other involves the control of animal behaviour by stimulating nervous systems electrically or optically. However, to our knowledge, no study has demonstrated that spatial learning in a computer-based system can affect the learning and decision making behaviour of the biological component, namely a rat, when these two types of intelligence are wired together to form a new intelligent entity. Here, we show how rule operations conducted by computing components contribute to a novel hybrid brain-computer system, i.e., ratbots, exhibit superior learning abilities in a maze learning task, even when their vision and whisker sensation were blocked. We anticipate that our study will encourage other researchers to investigate combinations of various rule operations and other artificial intelligence algorithms with the learning and memory processes of organic brains to develop more powerful cyborg intelligence systems. Our results potentially have profound implications for a variety of applications in intelligent systems and neural rehabilitation.

Maze learning by a hybrid brain-computer system

Science.gov (United States)

Wu, Zhaohui; Zheng, Nenggan; Zhang, Shaowu; Zheng, Xiaoxiang; Gao, Liqiang; Su, Lijuan

2016-09-01

The combination of biological and artificial intelligence is particularly driven by two major strands of research: one involves the control of mechanical, usually prosthetic, devices by conscious biological subjects, whereas the other involves the control of animal behaviour by stimulating nervous systems electrically or optically. However, to our knowledge, no study has demonstrated that spatial learning in a computer-based system can affect the learning and decision making behaviour of the biological component, namely a rat, when these two types of intelligence are wired together to form a new intelligent entity. Here, we show how rule operations conducted by computing components contribute to a novel hybrid brain-computer system, i.e., ratbots, exhibit superior learning abilities in a maze learning task, even when their vision and whisker sensation were blocked. We anticipate that our study will encourage other researchers to investigate combinations of various rule operations and other artificial intelligence algorithms with the learning and memory processes of organic brains to develop more powerful cyborg intelligence systems. Our results potentially have profound implications for a variety of applications in intelligent systems and neural rehabilitation.

The deep learning AI playbook strategy for disruptive artificial intelligence

CERN Document Server

Perez, Carlos E

2017-01-01

Deep Learning Artificial Intelligence involves the interplay of Computer Science, Physics, Biology, Linguistics and Psychology. In addition to that, it is technology that can be extremely disruptive. The ramifications to society and even our own humanity will be profound. There are few subjects that are as captivating and as consequential as this. Surprisingly, there is very little that is written about this new technology in a more comprehensive and cohesive way. This book is an opinionated take on the developments of Deep Learning AI. One question many have will be "how to apply Deep Learning AI in a business context?" Technology that is disruptive does not automatically imply that its application to valuable use cases will be apparent. For years, many people could not figure out how to monetize the World Wide Web. We are in a similar situation with Deep Learning AI. The developments may be mind-boggling but its monetization is far from being obvious. This book presents a framework to address this shortcomi...

Experience with cochlear implants in Greenlanders with profound hearing loss living in Greenland

DEFF Research Database (Denmark)

Homøe, Preben; Andersen, Ture; Grøntved, Aksel

2013-01-01

OBJECTIVE: Cochlear implant (CI) treatment was introduced to the world in the 1980s and has become a routine treatment for congenital or acquired severe-to-profound hearing loss. CI treatment requires access to a highly skilled team of ear, nose and throat specialists, audiologists and speech...... years are in need of a CI every second year in Greenland often due to sequelae from meningitis, which may cause postinfectious deafness. Screening of new-borns for hearing has been started in Greenland establishing the basis for early diagnosis of congenital hearing impairment and subsequent...

Multiple-instance learning for computer-aided detection of tuberculosis

Science.gov (United States)

Melendez, J.; Sánchez, C. I.; Philipsen, R. H. H. M.; Maduskar, P.; van Ginneken, B.

2014-03-01

Detection of tuberculosis (TB) on chest radiographs (CXRs) is a hard problem. Therefore, to help radiologists or even take their place when they are not available, computer-aided detection (CAD) systems are being developed. In order to reach a performance comparable to that of human experts, the pattern recognition algorithms of these systems are typically trained on large CXR databases that have been manually annotated to indicate the abnormal lung regions. However, manually outlining those regions constitutes a time-consuming process that, besides, is prone to inconsistencies and errors introduced by interobserver variability and the absence of an external reference standard. In this paper, we investigate an alternative pattern classi cation method, namely multiple-instance learning (MIL), that does not require such detailed information for a CAD system to be trained. We have applied this alternative approach to a CAD system aimed at detecting textural lesions associated with TB. Only the case (or image) condition (normal or abnormal) was provided in the training stage. We compared the resulting performance with those achieved by several variations of a conventional system trained with detailed annotations. A database of 917 CXRs was constructed for experimentation. It was divided into two roughly equal parts that were used as training and test sets. The area under the receiver operating characteristic curve was utilized as a performance measure. Our experiments show that, by applying the investigated MIL approach, comparable results as with the aforementioned conventional systems are obtained in most cases, without requiring condition information at the lesion level.

Foundations of Game-Based Learning

Science.gov (United States)

Plass, Jan L.; Homer, Bruce D.; Kinzer, Charles K.

2015-01-01

In this article we argue that to study or apply games as learning environments, multiple perspectives have to be taken into account. We first define game-based learning and gamification, and then discuss theoretical models that describe learning with games, arguing that playfulness is orthogonal to learning theory. We then review design elements…

Automated detection of age-related macular degeneration in OCT images using multiple instance learning

Science.gov (United States)

Sun, Weiwei; Liu, Xiaoming; Yang, Zhou

2017-07-01

Age-related Macular Degeneration (AMD) is a kind of macular disease which mostly occurs in old people，and it may cause decreased vision or even lead to permanent blindness. Drusen is an important clinical indicator for AMD which can help doctor diagnose disease and decide the strategy of treatment. Optical Coherence Tomography (OCT) is widely used in the diagnosis of ophthalmic diseases, include AMD. In this paper, we propose a classification method based on Multiple Instance Learning (MIL) to detect AMD. Drusen can exist in a few slices of OCT images, and MIL is utilized in our method. We divided the method into two phases: training phase and testing phase. We train the initial features and clustered to create a codebook, and employ the trained classifier in the test set. Experiment results show that our method achieved high accuracy and effectiveness.

The implementation of multiple intelligences based teaching model to improve mathematical problem solving ability for student of junior high school

Science.gov (United States)

Fasni, Nurli; Fatimah, Siti; Yulanda, Syerli

2017-05-01

This research aims to achieve some purposes such as: to know whether mathematical problem solving ability of students who have learned mathematics using Multiple Intelligences based teaching model is higher than the student who have learned mathematics using cooperative learning; to know the improvement of the mathematical problem solving ability of the student who have learned mathematics using Multiple Intelligences based teaching model., to know the improvement of the mathematical problem solving ability of the student who have learned mathematics using cooperative learning; to know the attitude of the students to Multiple Intelligences based teaching model. The method employed here is quasi-experiment which is controlled by pre-test and post-test. The population of this research is all of VII grade in SMP Negeri 14 Bandung even-term 2013/2014, later on two classes of it were taken for the samples of this research. A class was taught using Multiple Intelligences based teaching model and the other one was taught using cooperative learning. The data of this research were gotten from the test in mathematical problem solving, scale questionnaire of the student attitudes, and observation. The results show the mathematical problem solving of the students who have learned mathematics using Multiple Intelligences based teaching model learning is higher than the student who have learned mathematics using cooperative learning, the mathematical problem solving ability of the student who have learned mathematics using cooperative learning and Multiple Intelligences based teaching model are in intermediate level, and the students showed the positive attitude in learning mathematics using Multiple Intelligences based teaching model. As for the recommendation for next author, Multiple Intelligences based teaching model can be tested on other subject and other ability.

Effects of high-fat diet exposure on learning & memory.

Science.gov (United States)

Cordner, Zachary A; Tamashiro, Kellie L K

2015-12-01

The associations between consumption of a high-fat or 'Western' diet and metabolic disorders such as obesity, diabetes, and cardiovascular disease have long been recognized and a great deal of evidence now suggests that diets high in fat can also have a profound impact on the brain, behavior, and cognition. Here, we will review the techniques most often used to assess learning and memory in rodent models and discuss findings from studies assessing the cognitive effects of high-fat diet consumption. The review will then consider potential underlying mechanisms in the brain and conclude by reviewing emerging literature suggesting that maternal consumption of a high-fat diet may have effects on the learning and memory of offspring. Copyright © 2015 Elsevier Inc. All rights reserved.

A trans-disciplinary review of deep learning research for water resources scientists

OpenAIRE

Shen, Chaopeng

2017-01-01

Deep learning (DL), a new-generation artificial neural network research, has made profound strides in recent years. This review paper is intended to provide water resources scientists with a simple technical overview, trans-disciplinary progress update, and potentially inspirations about DL. Effective architectures, more accessible data, advances in regularization, and new computing power enabled the success of DL. A trans-disciplinary review reveals that DL is rapidly transforming myriad sci...

Building Quality into Learning Management Systems – An Architecture-Centric Approach

OpenAIRE

Avgeriou, P.; Retalis, Simos; Skordalakis, Manolis

2003-01-01

The design and development of contemporary Learning Management Systems (LMS), is largely focused on satisfying functional requirements, rather than quality requirements, thus resulting in inefficient systems of poor software and business quality. In order to remedy this problem there is a research trend into specifying and evaluating software architectures for LMS, since quality at-tributes in a system depend profoundly on its architecture. This paper presents a case study of appraising the s...

Learning multiple variable-speed sequences in striatum via cortical tutoring.

Science.gov (United States)

Murray, James M; Escola, G Sean

2017-05-08

Sparse, sequential patterns of neural activity have been observed in numerous brain areas during timekeeping and motor sequence tasks. Inspired by such observations, we construct a model of the striatum, an all-inhibitory circuit where sequential activity patterns are prominent, addressing the following key challenges: (i) obtaining control over temporal rescaling of the sequence speed, with the ability to generalize to new speeds; (ii) facilitating flexible expression of distinct sequences via selective activation, concatenation, and recycling of specific subsequences; and (iii) enabling the biologically plausible learning of sequences, consistent with the decoupling of learning and execution suggested by lesion studies showing that cortical circuits are necessary for learning, but that subcortical circuits are sufficient to drive learned behaviors. The same mechanisms that we describe can also be applied to circuits with both excitatory and inhibitory populations, and hence may underlie general features of sequential neural activity pattern generation in the brain.

MULTIPLE INTELLIGENCES, CARA MENSTIMULASI SERTA IMPLEMENTASINYA DALAM PEMBELAJARAN

Directory of Open Access Journals (Sweden)

Yulia Ayriza

2012-03-01

Full Text Available One of the implementations of Multiple Intelligences (MI theory is to view all students intelligent in their own talents. This concept has replaced the concept of intelligence Quotient (IQ which unconsciously has differentiated students to be intelligent and stupid. This concept, in the past, became one of the barriers for the “stupid” students to get their education appropriately, and this was clearly to be in the contrary with the philosophy of Education for All (EFA, for every student, whatever their “intelligences” are, has his/her right to get the basic education. The advantage of the implementation of “Multiple Intelligences” concept on learning instruction is that this concept uses developmental approach, therefore it focuses more on the students’ strengths to be developed; while the concept of “Intellectual Intelligence” still uses  remedial approach, therefore it focuses more on the students’ weaknesses to be remedied. This approach is also in the contrary with the learning principle of the Behaviorism which considers “reward” in higher priority than “punishment” in learning process. This article discusses the concept of MI, how to stimulate it, and its implementation on learning instruction. Keywords: Multiple Intelligences, stimulate, implementation on learning instruction

IMPLEMENTASI STRATEGI BERBASIS MULTIPLE INTELLIGENCES PADA KEGIATAN PEMBELAJARAN EKSTRAKULIKULER DI MTs UMMUSSHABRI KENDARI

OpenAIRE

Hadisi, La

2015-01-01

Abstract The concept of multiple intelligences which is focused on the uniqueness is always find the advantages of each child. The Purpose of this study is find out the Implementation of learning strategy in multiple intelligences practiced in Madrasah Tsanawiyah Ummusshabri, Kendari. The results indicate some facts: 1) the basic implementation of learning strategy base on multiple intelligences are orientation, content and curriculum development of KTSP; 2) the conceptual framework of...

Validitas Lesson Plan Berbasis Multiple Intelligences untuk Pembelajaran Matematika

Directory of Open Access Journals (Sweden)

Vigih Hery Kristanto

2017-12-01

Full Text Available The purpose of this research is to know the validity of Lesson Plan based on multiple intelligences for learning mathematics in junior high school students. This research is a simple research with qualitative type. The validity of Lesson Plan is seen through two aspects, namely the linguistic aspect and the substance (content aspect. Thus, the instrument used in this research is the Linguistic Aspects Validation Guidance and the Substance Validation Guidelines (contents Guidance. Validation is done by two validators Lingusitic expert field and Mathematics expert field. The results showed that the validity of linguistic aspects of 3.35 and the validity of the substance (content of 3.82, so it can be concluded Lesson Plan based multiple intelligences for learning mathematics in junior high school students who have been compiled valid based on the language aspect. In addition, Lesson Plan based multiple intelligences for learning mathematics in junior high school students who have been compiled valid based on aspects of substance (content.

Agency in the Darkness: 'Fear of the Unknown', Learning Disability and Teacher Education for Inclusion

Science.gov (United States)

Robinson, Deborah; Goodey, Chris

2018-01-01

This paper proposes inclusion phobia as a sharper and more operative definition of the 'fear of the unknown' often cited as an explanation for resistance to inclusive education. Using 'severe and profound learning disability' as the paradigm case, we situate the phobia surrounding this label in its social and historical context. Our hypothesis is…

Outcomes of laryngohyoid suspension techniques in an ovine model of profound oropharyngeal dysphagia.

Science.gov (United States)

Johnson, Christopher M; Venkatesan, Naren N; Siddiqui, M Tausif; Cates, Daniel J; Kuhn, Maggie A; Postma, Gregory M; Belafsky, Peter C

2017-12-01

To evaluate the efficacy of various techniques of laryngohyoid suspension in the elimination of aspiration utilizing a cadaveric ovine model of profound oropharyngeal dysphagia. Animal study. The head and neck of a Dorper cross ewe was placed in the lateral fluoroscopic view. Five conditions were tested: baseline, thyroid cartilage to hyoid approximation (THA), thyroid cartilage to hyoid to mandible (laryngohyoid) suspension (LHS), LHS with cricopharyngeus muscle myotomy (LHS-CPM), and cricopharyngeus muscle myotomy (CPM) alone. Five 20-mL trials of barium sulfate were delivered into the oropharynx under fluoroscopy for each condition. Outcome measures included the penetration aspiration scale (PAS) and the National Institutes of Health (NIH) Swallow Safety Scale (NIH-SSS). Median baseline PAS and NIH-SSS scores were 8 and 6, respectively, indicating severe impairment. THA scores were not improved from baseline. LHS alone reduced the PAS to 1 (P = .025) and NIH-SSS to 2 (P = .025) from baseline. LHS-CPM reduced the PAS to 1 (P = .025) and NIH-SSS to 0 (P = .025) from baseline. CPM alone did not improve scores. LHS-CPM displayed improved NIH-SSS over LHS alone (P = .003). This cadaveric model represents end-stage profound oropharyngeal dysphagia such as what could result from severe neurological insult. CPM alone failed to improve fluoroscopic outcomes in this model. Thyrohyoid approximation also failed to improve outcomes. LHS significantly improved both PAS and NIH-SSS. The addition of CPM to LHS resulted in improvement over suspension alone. NA. Laryngoscope, 127:E422-E427, 2017. © 2017 The American Laryngological, Rhinological and Otological Society, Inc.

The Effect of Frequency Transposition on Speech Perception in Adolescents and Young Adults with Profound Hearing Loss

Science.gov (United States)

Gou, J.; Smith, J.; Valero, J.; Rubio, I.

2011-01-01

This paper reports on a clinical trial evaluating outcomes of a frequency-lowering technique for adolescents and young adults with severe to profound hearing impairment. Outcomes were defined by changes in aided thresholds, speech perception, and acceptance. The participants comprised seven young people aged between 13 and 25 years. They were…

How to Facilitate Transition to Adulthood? Innovative Solutions from Parents of Young Adults with Profound Intellectual Disability

Science.gov (United States)

Gauthier-Boudreault, Camille; Couture, Mélanie; Gallagher, Frances

2018-01-01

Background: At age 21, access to specialised services for youth with profound intellectual disability is reduced. Few studies have focused on parents' views concerning potential solutions to ease the transition to adulthood, and most existing solutions target young adults with less severe intellectual disability. The aim of this study is to…

Comparison of Chemistry Learning Outcomes with Inquiry Learning Model and Learning Cycle 5E in Material Solubility and Solubility Multiplication Results

Directory of Open Access Journals (Sweden)

Nur Indah Firdausi

2015-04-01

Full Text Available Perbandingan Hasil Belajar Kimia dengan Model Pembelajaran Inquiry dan Learning Cycle 5E pada Materi Kelarutan dan Hasil Kali Kelarutan   Abstract: This research is aimed to compare the effectiveness between inquiry and LC 5E in solubility equilibria and the solubility product for students with different prior knowledge. The effectiveness of both learning models is measured from students learning outcome. This quasi experimental research uses factorial2x2 with posttest only design. Research samples are chosen using cluster random sampling. They are two classes of XI IPA SMAN 1 Kepanjen in the 2012/2013 academic year which consist of 31 students in each class. Cognitive learning outcome is measured by test items consist of four objective items and nine subjective items. Technique of data analysis in this research is two way ANOVA. Research results show that: (1 cognitive learning outcome and higher cognitive learning outcome of students in inquiry class is higher than students in LC 5E class; (2 cognitive learning outcome and higher cognitive learning outcome of students who have upper prior knowledge is higher than students who have lower prior knowledge in both inquiry and LC 5E. Key Words: learning outcome, inquiry, learning cycle 5E, solubility equilibria and the solubility product   Abstrak: Penelitian ini bertujuan membandingkan keefektifan model inquiry dan LC 5E pada materi kelarutan dan hasil kali kelarutan untuk siswa dengan kemampuan awal berbeda. Keefektifan model pembelajaran dilihat dari hasil belajar kognitif siswa. Penelitian ini menggunakan rancangan eksperimen semu dengan desain faktorial 2x2. Subjek penelitian dipilih secara cluster random sampling yaitu dua kelas XI IPA SMAN 1 Kepanjen dengan jumlah masing-masing kelas sebanyak 31 siswa. Instrumen perlakuan yang digunakan adalah silabus dan RPP sedangkan instrumen pengukuran berupa soal tes terdiri dari empat soal objektif dan sembilan soal subjektif. Teknik analisis data

Transitioning hearing aid users with severe and profound loss to a new gain/frequency response: benefit, perception, and acceptance.

Science.gov (United States)

Convery, Elizabeth; Keidser, Gitte

2011-03-01

Adults with severe and profound hearing loss tend to be long-term, full-time users of amplification who are highly reliant on their hearing aids. As a result of these characteristics, they are often reluctant to update their hearing aids when new features or signal-processing algorithms become available. Due to the electroacoustic constraints of older devices, many severely and profoundly hearing-impaired adults continue to wear hearing aids that provide more low- and mid-frequency gain and less high-frequency gain than would be prescribed by the National Acoustic Laboratories' revised formula with profound correction factor (NAL-RP). To investigate the effect of a gradual change in gain/frequency response on experienced hearing-aid wearers with moderately severe to profound hearing loss. Double-blind, randomized controlled trial. Twenty-three experienced adult hearing-aid users with severe and profound hearing loss participated in the study. Participants were selected for inclusion in the study if the gain/frequency response of their own hearing aids differed significantly from their NAL-RP prescription. Participants were assigned either to a control or to an experimental group balanced for aided ear three-frequency pure-tone average (PTA) and age. Participants were fitted with Siemens Artis 2 SP behind-the-ear (BTE) hearing aids that were matched to the gain/frequency response of their own hearing aids for a 65 dB SPL input level. The experimental group progressed incrementally to their NAL-RP targets over the course of 15 wk, while the control group maintained their initial settings throughout the study. Aided speech discrimination testing, loudness scaling, and structured questionnaires were completed at 3, 6, 9, 12, and 15 wk postfitting. A paired comparison between the old and new gain/frequency responses was completed at 1 and 15 wk postfitting. Statistical analysis was conducted to examine differences between the experimental and control groups and changes

Simultaneous presence of endogenous retrovirus and herpes virus antigens has profound effect on cell-mediated immune responses: implications for multiple sclerosis

DEFF Research Database (Denmark)

Brudek, T.; Christensen, T.; Hansen, H.J.

2004-01-01

Retroviruses have been suggested as possible pathogenic factors in multiple sclerosis (MS), supported by the observation that endogenous retroviruses are activated in MS patients. Different members of the herpes family of which several are neurotropic have also been suggested as factors in MS pat...

Parts of the Whole: Learn More, Learn Better

Directory of Open Access Journals (Sweden)

Dorothy Wallace

2012-01-01

Full Text Available Building on previous columns in Numeracy, this column analyzes various teaching techniques in terms of their ability to build cognitive schema, extend existing schema, reinforce learning, move mean understanding of a group of students, and reduce variance in understanding of a group. We offer a pedagogical cycle as an example of how to address multiple learning goals using common teaching methods.

Impact of international humanitarian service-learning on emerging adult social competence: A mixed-methods evaluation

Directory of Open Access Journals (Sweden)

Paul Schvaneveldt

2016-09-01

Full Text Available This article presents the results from a study into international humanitarian service-learning experiences on young adult volunteers. Specifically, the service-learning experiences of emerging adults who had served in orphanages in Latin America were assessed, in a pre- and post-test design, for their development in areas of social competency such as identity, self-efficacy, self-esteem and ethnocentric attitudes. A mixed-methods design using both qualitative and quantitative measures was used. Both qualitative and quantitative results identified significant and important impacts on the development of the social competencies of these emerging adults. In addition, several qualitative themes illustrated that longer term international service-learning experiences have a profound impact on the social competence of emerging adults. Keywords: International humanitarian service, service-learning, emerging adult competency

Multiple Learning Tracks: For Training Multinational Managers

Science.gov (United States)

Harvey, Michael G.; Kerin, Roger A.

1977-01-01

The problem of identifying and training college students to be effective multinational marketing managers is investigated in three parts: (1) Identification of multinational manager attributes, (2) selection of multinational managers, and (3) multiple "track" training programs. (TA)

Word learning in deaf children with cochlear implants: effects of early auditory experience.

Science.gov (United States)

Houston, Derek M; Stewart, Jessica; Moberly, Aaron; Hollich, George; Miyamoto, Richard T

2012-05-01

Word-learning skills were tested in normal-hearing 12- to 40-month-olds and in deaf 22- to 40-month-olds 12 to 18 months after cochlear implantation. Using the Intermodal Preferential Looking Paradigm (IPLP), children were tested for their ability to learn two novel-word/novel-object pairings. Normal-hearing children demonstrated learning on this task at approximately 18 months of age and older. For deaf children, performance on this task was significantly correlated with early auditory experience: Children whose cochlear implants were switched on by 14 months of age or who had relatively more hearing before implantation demonstrated learning in this task, but later implanted profoundly deaf children did not. Performance on this task also correlated with later measures of vocabulary size. Taken together, these findings suggest that early auditory experience facilitates word learning and that the IPLP may be useful for identifying children who may be at high risk for poor vocabulary development. © 2012 Blackwell Publishing Ltd.

Early reversal of profound rocuronium-induced neuromuscular blockade by sugammadex in a randomized multicenter study - Efficacy, safety, and pharmacokinetics

NARCIS (Netherlands)

Sparr, Harald J.; Vermeyen, Karel M.; Beaufort, Anton M.; Rietbergen, Henk; Proost, Johannes H.; Saldien, Vera; Velik-Salchner, Corinna; Wierda, J. Mark K. H.

Background: Sugammadex reverses the neuromuscular blocking effects of rocuronium by chemical encapsulation. The efficacy, safety, and pharmacokinetics of sugammadex for reversal of profound rocuronium-induced neuromuscular blockade were evaluated. Methods: Ninety-eight male adult patients were

You Should be Dancin:! The Role of Performing Arts in the Lives of the Severely and Profoundly Handicapped.

Science.gov (United States)

Barringer, Mary Dean

The manual presents a program planning framework and teaching units for teaching dance and movement to severely and profoundly handicapped individuals. The planning framework contains four components: (1) aesthetic perception/multisensory integration; (2) creative expression; (3) dance heritage/historical and cultural; and (4) aesthetic…

Comparison of performance on multiple-choice questions and open-ended questions in an introductory astronomy laboratory

OpenAIRE

Michelle M. Wooten; Adrienne M. Cool; Edward E. Prather; Kimberly D. Tanner

2014-01-01

When considering the variety of questions that can be used to measure students’ learning, instructors may choose to use multiple-choice questions, which are easier to score than responses to open-ended questions. However, by design, analyses of multiple-choice responses cannot describe all of students’ understanding. One method that can be used to learn more about students’ learning is the analysis of the open-ended responses students’ provide when explaining their multiple-choice response. I...

The effectiveness of music as a mnemonic device on recognition memory for people with multiple sclerosis.

Science.gov (United States)

Moore, Kimberly Sena; Peterson, David A; O'Shea, Geoffrey; McIntosh, Gerald C; Thaut, Michael H

2008-01-01

Research shows that people with multiple sclerosis exhibit learning and memory difficulties and that music can be used successfully as a mnemonic device to aid in learning and memory. However, there is currently no research investigating the effectiveness of music mnemonics as a compensatory learning strategy for people with multiple sclerosis. Participants with clinically definitive multiple sclerosis (N = 38) were given a verbal learning and memory test. Results from a recognition memory task were analyzed that compared learning through music (n = 20) versus learning through speech (n = 18). Preliminary baseline neuropsychological data were collected that measured executive functioning skills, learning and memory abilities, sustained attention, and level of disability. An independent samples t test showed no significant difference between groups on baseline neuropsychological functioning or on recognition task measures. Correlation analyses suggest that music mnemonics may facilitate learning for people who are less impaired by the disease. Implications for future research are discussed.

Connections Between Future Time Perspectives and Self-Regulated Learning for Mid-Year Engineering Students: A Multiple Case Study

Science.gov (United States)

Chasmar, Justine

This dissertation presents multiple studies with the purpose of understanding the connections between undergraduate engineering students' motivations, specifically students' Future Time Perspectives (FTPs) and Self-Regulated Learning (SRL). FTP refers to the views students hold about the future and how their perceptions of current tasks are affected by these views. SRL connects the behaviors, metacognition, and motivation of students in their learning. The goals of this research project were to 1) qualitatively describe and document engineering students' SRL strategies, 2) examine interactions between engineering students' FTPs and SRL strategy use, and 3) explore goal-setting as a bridge between FTP and SRL. In an exploratory qualitative study with mid-year industrial engineering students to examine the SRL strategies used before and after an SRL intervention, results showed that students intended to use more SRL strategies than they attempted. However, students self-reported using new SRL strategies from the intervention. Students in this population also completed a survey and a single interview about FTP and SRL. Results showed perceptions of instrumentality of coursework and skills as motivation for using SRL strategies, and a varied use of SRL strategies for students with different FTPs. Overall, three types of student FTP were seen: students with a single realistic view of the future, conflicting ideal and realistic future views, or open views of the future. A sequential explanatory mixed methods study was conducted with mid-year students from multiple engineering majors. First a cluster analysis of survey results of FTP items compared to FTP interview responses was used for participant selection. Then a multiple case study was conducted with data collected through surveys, journal entries, course performance, and two interviews. Results showed that students with a well-defined FTP self-regulated in the present based on their varied perceptions of

The causal effect of profound organizational change when job insecurity is low – a quasi-experiment analysing municipal mergers

DEFF Research Database (Denmark)

Bhatti, Yosef; Gørtz, Mette; Pedersen, Lene Holm

2015-01-01

The present article finds that the causal effect of profound organizational change on employee health can be very low, if job insecurity is mitigated. We demonstrate this by investigating a rare case of a large-scale radical public sector reform with low job insecurity, in which a large number...... and job insecurity may explain the divergence from previous results. An important strength of our study is that the reform investigated can be considered a quasi-experiment, as it was exogenous and implemented simultaneously by the affected local governments. We also have access to an objective measure...... of robustness tests are performed, including propensity score matching and in-depth analysis of particular sub-groups of public sector employees. The results indicate that profound organizational change per se does not necessarily lead to decreased health, if job insecurity is low. However, a very modest effect...

Strongly and weakly directed approaches to teaching multiple representation use in physics

Directory of Open Access Journals (Sweden)

Patrick B. Kohl

2007-06-01

Full Text Available Good use of multiple representations is considered key to learning physics, and so there is considerable motivation both to learn how students use multiple representations when solving problems and to learn how best to teach problem solving using multiple representations. In this study of two large-lecture algebra-based physics courses at the University of Colorado (CU and Rutgers, the State University of New Jersey, we address both issues. Students in each of the two courses solved five common electrostatics problems of varying difficulty, and we examine their solutions to clarify the relationship between multiple representation use and performance on problems involving free-body diagrams. We also compare our data across the courses, since the two physics-education-research-based courses take substantially different approaches to teaching the use of multiple representations. The course at Rutgers takes a strongly directed approach, emphasizing specific heuristics and problem-solving strategies. The course at CU takes a weakly directed approach, modeling good problem solving without teaching a specific strategy. We find that, in both courses, students make extensive use of multiple representations, and that this use (when both complete and correct is associated with significantly increased performance. Some minor differences in representation use exist, and are consistent with the types of instruction given. Most significant are the strong and broad similarities in the results, suggesting that either instructional approach or a combination thereof can be useful for helping students learn to use multiple representations for problem solving and concept development.

Effects of mini-games for enhancing multiplicative abilities: A first exploration

NARCIS (Netherlands)

Bakker, M.; Van den Heuvel-Panhuizen, M.; van Borkulo, S.P.; Robitzsch, A.

2012-01-01

Developing knowledge and understanding of multiplicative relations is a main goal of primary school mathematics education. It is important that students consolidate basic multiplication table facts as well as learn how to flexibly apply this knowledge in more complex multiplicative problems [e.g.,

Aids to Computer-Based Multimedia Learning.

Science.gov (United States)

Mayer, Richard E.; Moreno, Roxana

2002-01-01

Presents a cognitive theory of multimedia learning that draws on dual coding theory, cognitive load theory, and constructivist learning theory and derives some principles of instructional design for fostering multimedia learning. These include principles of multiple representation, contiguity, coherence, modality, and redundancy. (SLD)

Perceptual-motor skill learning in Gilles de la Tourette syndrome. Evidence for multiple procedural learning and memory systems.

Science.gov (United States)

Marsh, Rachel; Alexander, Gerianne M; Packard, Mark G; Zhu, Hongtu; Peterson, Bradley S

2005-01-01

Procedural learning and memory systems likely comprise several skills that are differentially affected by various illnesses of the central nervous system, suggesting their relative functional independence and reliance on differing neural circuits. Gilles de la Tourette syndrome (GTS) is a movement disorder that involves disturbances in the structure and function of the striatum and related circuitry. Recent studies suggest that patients with GTS are impaired in performance of a probabilistic classification task that putatively involves the acquisition of stimulus-response (S-R)-based habits. Assessing the learning of perceptual-motor skills and probabilistic classification in the same samples of GTS and healthy control subjects may help to determine whether these various forms of procedural (habit) learning rely on the same or differing neuroanatomical substrates and whether those substrates are differentially affected in persons with GTS. Therefore, we assessed perceptual-motor skill learning using the pursuit-rotor and mirror tracing tasks in 50 patients with GTS and 55 control subjects who had previously been compared at learning a task of probabilistic classifications. The GTS subjects did not differ from the control subjects in performance of either the pursuit rotor or mirror-tracing tasks, although they were significantly impaired in the acquisition of a probabilistic classification task. In addition, learning on the perceptual-motor tasks was not correlated with habit learning on the classification task in either the GTS or healthy control subjects. These findings suggest that the differing forms of procedural learning are dissociable both functionally and neuroanatomically. The specific deficits in the probabilistic classification form of habit learning in persons with GTS are likely to be a consequence of disturbances in specific corticostriatal circuits, but not the same circuits that subserve the perceptual-motor form of habit learning.

Competition between multiple words for a referent in cross-situational word learning

Science.gov (United States)

Benitez, Viridiana L.; Yurovsky, Daniel; Smith, Linda B.

2016-01-01

Three experiments investigated competition between word-object pairings in a cross-situational word-learning paradigm. Adults were presented with One-Word pairings, where a single word labeled a single object, and Two-Word pairings, where two words labeled a single object. In addition to measuring learning of these two pairing types, we measured competition between words that refer to the same object. When the word-object co-occurrences were presented intermixed in training (Experiment 1), we found evidence for direct competition between words that label the same referent. Separating the two words for an object in time eliminated any evidence for this competition (Experiment 2). Experiment 3 demonstrated that adding a linguistic cue to the second label for a referent led to different competition effects between adults who self-reported different language learning histories, suggesting both distinctiveness and language learning history affect competition. Finally, in all experiments, competition effects were unrelated to participants’ explicit judgments of learning, suggesting that competition reflects the operating characteristics of implicit learning processes. Together, these results demonstrate that the role of competition between overlapping associations in statistical word-referent learning depends on time, the distinctiveness of word-object pairings, and language learning history. PMID:27087742

Collective Machine Learning: Team Learning and Classification in Multi-Agent Systems

Science.gov (United States)

Gifford, Christopher M.

2009-01-01

This dissertation focuses on the collaboration of multiple heterogeneous, intelligent agents (hardware or software) which collaborate to learn a task and are capable of sharing knowledge. The concept of collaborative learning in multi-agent and multi-robot systems is largely under studied, and represents an area where further research is needed to…

An Evaluation of Social and Adaptive Skills in Adults with Bipolar Disorder and Severe/Profound Intellectual Disability

Science.gov (United States)

Matson, Johnny L.; Terlonge, Cindy; Gonzalez, Melissa L.; Rivet, Tessa

2006-01-01

The purpose of this study was to explore the interrelationship of social and adaptive skills in adults with bipolar disorder and severe or profound intellectual disability. A bipolar group (N=14), a severe psychopathology group without bipolar disorder (N=14), and a control group with no DSM-IV Axis I diagnosis (N=14) were compared on the…

Multiple Intelligences within the Cross-Curricular Approach

Directory of Open Access Journals (Sweden)

Anthoula Vaiou

2010-02-01

Full Text Available The present study was realized in a Greek 6th grade State Primary School class and was based on Howard Gardner’s theory of multiple intelligences, which was first introduced in 1983. More particularly, it was explored to what extent the young learners possess multiple intelligences through the use of a specially-designed questionnaire and a series of interviews. The findings of the above have served as a tool to the construction of a project work based on students’ learning preferences within a cross-curricular framework, easily applicable to the Greek State School curriculum. All learners were activated to participate within a school environment that traditionally promotes linguistic and mathematical skills matching dominant multiple intelligences or a combination of some of them to thematic units already taught by Greek teachers. The suggested project was assessed through observation and student portfolio, showing that the young learners’ multiple intelligences were exploited to a great extent, promoting the learning process satisfactorily. The results of this study can provide a contribution to the literature of multiple intelligences in the Greek reality and suggest a need for further consideration and exploration in the field. Finally, the researcher of this study hopes the present work could function as a springboard for more elaborated studies in the future.

Synaesthesia and learning: A critical review and novel theory

Directory of Open Access Journals (Sweden)

Marcus Robert Watson

2014-02-01

Full Text Available Learning and synaesthesia are profoundly interconnected. On the one hand, the development of synaesthesia is clearly influenced by learning. Synaesthetic inducers—the stimuli that evoke these unusual experiences—often involve the perception of complex properties learned in early childhood, e.g. letters, musical notes, numbers, months of the year and even swimming strokes. Further, recent research has shown that the associations individual synaesthetes make with these learned inducers are not arbitrary, but are strongly influenced by the structure of the learnt do- main. For instance, the synaesthetic colours of letters are partially determined by letter frequency and the relative positions of letters in the alphabet. On the other hand, there is also a small, but growing, body of literature which shows that synaesthesia can influence or be helpful in learning. For instance, synaesthetes appear to be able to use their unusual experiences as mnemonic de- vices and can even exploit them while learning novel abstract categories. Here we review these two directions of influence and argue that they are interconnected. We propose that synaesthesia arises, at least in part, because of the cognitive demands of learning in childhood, and that it is used to aid perception and understanding of a variety of learned categories. Our thesis is that the structural similarities between synaesthetic triggering stimuli and synaesthetic experiences are the remnants, the fossilized traces, of past learning challenges for which synasethesia was helpful.

Learning from Multiple Classifier Systems: Perspectives for Improving Decision Making of QSAR Models in Medicinal Chemistry.

Science.gov (United States)

Pham-The, Hai; Nam, Nguyen-Hai; Nga, Doan-Viet; Hai, Dang Thanh; Dieguez-Santana, Karel; Marrero-Poncee, Yovani; Castillo-Garit, Juan A; Casanola-Martin, Gerardo M; Le-Thi-Thu, Huong

2018-02-09

Quantitative Structure - Activity Relationship (QSAR) modeling has been widely used in medicinal chemistry and computational toxicology for many years. Today, as the amount of chemicals is increasing dramatically, QSAR methods have become pivotal for the purpose of handling the data, identifying a decision, and gathering useful information from data processing. The advances in this field have paved a way for numerous alternative approaches that require deep mathematics in order to enhance the learning capability of QSAR models. One of these directions is the use of Multiple Classifier Systems (MCSs) that potentially provide a means to exploit the advantages of manifold learning through decomposition frameworks, while improving generalization and predictive performance. In this paper, we presented MCS as a next generation of QSAR modeling techniques and discuss the chance to mining the vast number of models already published in the literature. We systematically revisited the theoretical frameworks of MCS as well as current advances in MCS application for QSAR practice. Furthermore, we illustrated our idea by describing ensemble approaches on modeling histone deacetylase (HDACs) inhibitors. We expect that our analysis would contribute to a better understanding about MCS application and its future perspectives for improving the decision making of QSAR models. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

Study of Meta-Cognitive Beliefs and Learning Methods and Their Relationship with Exam Anxiety in High School Students Bandar Abbas City, 2014

Directory of Open Access Journals (Sweden)

Ghazal Motazed Keyvani

2016-08-01

Full Text Available Background Nowadays, one of the principal difficulties faced by educational systems worldwide is anxiety, a mental problem, which is evidently difficult to be endured by many students and leads to various types of mental and physical disorders or reduction of educational efficiency, and has gained attention of sociologists for its consequent psychological, social, and economical impacts. Objectives The current study aimed at predicting exam anxiety based on meta-cognitive beliefs and learning methods among high school students of Bandar Abbas. Methods The study population included 351 students (197 males and 154 females, who were selected randomly by the cluster approach and answered the research tools including Meta-Cognitive Beliefs Questionnaires (MCQ-30, Learning methods questionnaires of Marton and Saljoo (1996 and also test anxiety questionnaire of Alpert and Haber (1960. The study plan was correlative-descriptive. Pearson simple correlation coefficient, multi variable regression, and multi variable variance analysis were used to analyze the obtained data. Results The study results indicated that there was a positive significant relationship between meta-cognitive beliefs and exam anxiety, a negative significant relationship between profound learning and learning methods and exam anxiety, and a positive significant relationship between smattering learning method and exam anxiety. The regression exam results also revealed that meta-cognitive beliefs and smattering learning methods could positively predict and determine exam anxiety in students. A significant relationship was observed between meta-cognitive beliefs in females and males, and female students showed greater intention and interest toward meta-cognitive beliefs than males, however, no significant difference was observed between learning methods and exam anxiety in females and males. Conclusions It was concluded from the study results that profound learning methods lead to the

Speech perception, production and intelligibility in French-speaking children with profound hearing loss and early cochlear implantation after congenital cytomegalovirus infection.

Science.gov (United States)

Laccourreye, L; Ettienne, V; Prang, I; Couloigner, V; Garabedian, E-N; Loundon, N

2015-12-01

To analyze speech in children with profound hearing loss following congenital cytomegalovirus (cCMV) infection with cochlear implantation (CI) before the age of 3 years. In a cohort of 15 children with profound hearing loss, speech perception, production and intelligibility were assessed before and 3 years after CI; variables impacting results were explored. Post-CI, median word recognition was 74% on closed-list and 48% on open-list testing; 80% of children acquired speech production; and 60% were intelligible for all listeners or listeners attentive to lip-reading and/or aware of the child's hearing loss. Univariate analysis identified 3 variables (mean post-CI hearing threshold, bilateral vestibular areflexia, and brain abnormality on MRI) with significant negative impact on the development of speech perception, production and intelligibility. CI showed positive impact on hearing and speech in children with post-cCMV profound hearing loss. Our study demonstrated the key role of maximizing post-CI hearing gain. A few children had insufficient progress, especially in case of bilateral vestibular areflexia and/or brain abnormality on MRI. This led us to suggest that balance rehabilitation and speech therapy should be intensified in such cases. Copyright © 2015 Elsevier Masson SAS. All rights reserved.

Quantification of structural changes in the corpus callosumin children with profound hypoxic-ischaemic brain injury

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Stivaros, Stavros M. [Manchester Academic Health Science Centre, Academic Unit of Paediatric Radiology, Royal Manchester Children' s Hospital, Central Manchester University Hospitals NHS Foundation Trust, Manchester (United Kingdom); University of Manchester, Centre for Imaging Sciences, Institute of Population Health, Manchester (United Kingdom); Radon, Mark R. [The Walton Centre NHS Foundation Trust, Department of Neuroradiology, Liverpool (United Kingdom); Mileva, Reneta; Gledson, Ann; Keane, John A. [University of Manchester, School of Computer Science, Manchester (United Kingdom); Connolly, Daniel J.A.; Batty, Ruth [Sheffield Children' s Hospital NHS Foundation Trust, Department of Neuroradiology, Sheffield (United Kingdom); Cowell, Patricia E. [University of Sheffield, Department of Human Communication Sciences, Sheffield (United Kingdom); Hoggard, Nigel; Griffiths, Paul D. [University of Sheffield, Academic Unit of Radiology, Sheffield (United Kingdom); Wright, Neville B.; Tang, Vivian [Manchester Academic Health Science Centre, Academic Unit of Paediatric Radiology, Royal Manchester Children' s Hospital, Central Manchester University Hospitals NHS Foundation Trust, Manchester (United Kingdom)

2016-01-15

Birth-related acute profound hypoxic-ischaemic brain injury has specific patterns of damage including the paracentral lobules. To test the hypothesis that there is anatomically coherent regional volume loss of the corpus callosum as a result of this hemispheric abnormality. Study subjects included 13 children with proven acute profound hypoxic-ischaemic brain injury and 13 children with developmental delay but no brain abnormalities. A computerised system divided the corpus callosum into 100 segments, measuring each width. Principal component analysis grouped the widths into contiguous anatomical regions. We conducted analysis of variance of corpus callosum widths as well as support vector machine stratification into patient groups. There was statistically significant narrowing of the mid-posterior body and genu of the corpus callosum in children with hypoxic-ischaemic brain injury. Support vector machine analysis yielded over 95% accuracy in patient group stratification using the corpus callosum centile widths. Focal volume loss is seen in the corpus callosum of children with hypoxic-ischaemic brain injury secondary to loss of commissural fibres arising in the paracentral lobules. Support vector machine stratification into the hypoxic-ischaemic brain injury group or the control group on the basis of corpus callosum width is highly accurate and points towards rapid clinical translation of this technique as a potential biomarker of hypoxic-ischaemic brain injury. (orig.)

Quantification of structural changes in the corpus callosumin children with profound hypoxic-ischaemic brain injury

International Nuclear Information System (INIS)

Stivaros, Stavros M.; Radon, Mark R.; Mileva, Reneta; Gledson, Ann; Keane, John A.; Connolly, Daniel J.A.; Batty, Ruth; Cowell, Patricia E.; Hoggard, Nigel; Griffiths, Paul D.; Wright, Neville B.; Tang, Vivian

2016-01-01

Birth-related acute profound hypoxic-ischaemic brain injury has specific patterns of damage including the paracentral lobules. To test the hypothesis that there is anatomically coherent regional volume loss of the corpus callosum as a result of this hemispheric abnormality. Study subjects included 13 children with proven acute profound hypoxic-ischaemic brain injury and 13 children with developmental delay but no brain abnormalities. A computerised system divided the corpus callosum into 100 segments, measuring each width. Principal component analysis grouped the widths into contiguous anatomical regions. We conducted analysis of variance of corpus callosum widths as well as support vector machine stratification into patient groups. There was statistically significant narrowing of the mid-posterior body and genu of the corpus callosum in children with hypoxic-ischaemic brain injury. Support vector machine analysis yielded over 95% accuracy in patient group stratification using the corpus callosum centile widths. Focal volume loss is seen in the corpus callosum of children with hypoxic-ischaemic brain injury secondary to loss of commissural fibres arising in the paracentral lobules. Support vector machine stratification into the hypoxic-ischaemic brain injury group or the control group on the basis of corpus callosum width is highly accurate and points towards rapid clinical translation of this technique as a potential biomarker of hypoxic-ischaemic brain injury. (orig.)

Theorizing Learning Process: An Experiential, Constructivist Approach to Young People's Learning about Global Poverty and Development

Science.gov (United States)

Brown, Kate

2015-01-01

Learning processes in global education have not been significantly theorized, with the notable exception of the application of transformative learning theory. No theory of learning is complete, and to understand the complexity of learning, multiple theoretical lenses must be applied. This article looks at Jarvis's (2006) model of lifelong learning…

Attributional style and depression in multiple sclerosis: the learned helplessness model.

Science.gov (United States)

Vargas, Gray A; Arnett, Peter A

2013-01-01

Several etiologic theories have been proposed to explain depression in the general population. Studying these models and modifying them for use in the multiple sclerosis (MS) population may allow us to better understand depression in MS. According to the reformulated learned helplessness (LH) theory, individuals who attribute negative events to internal, stable, and global causes are more vulnerable to depression. This study differentiated attributional style that was or was not related to MS in 52 patients with MS to test the LH theory in this population and to determine possible differences between illness-related and non-illness-related attributions. Patients were administered measures of attributional style, daily stressors, disability, and depressive symptoms. Participants were more likely to list non-MS-related than MS-related causes of negative events on the Attributional Style Questionnaire (ASQ), and more-disabled participants listed significantly more MS-related causes than did less-disabled individuals. Non-MS-related attributional style correlated with stress and depressive symptoms, but MS-related attributional style did not correlate with disability or depressive symptoms. Stress mediated the effect of non-MS-related attributional style on depressive symptoms. These results suggest that, although attributional style appears to be an important construct in MS, it does not seem to be related directly to depressive symptoms; rather, it is related to more perceived stress, which in turn is related to increased depressive symptoms.

Conditions for the Effectiveness of Multiple Visual Representations in Enhancing STEM Learning

Science.gov (United States)

Rau, Martina A.

2017-01-01

Visual representations play a critical role in enhancing science, technology, engineering, and mathematics (STEM) learning. Educational psychology research shows that adding visual representations to text can enhance students' learning of content knowledge, compared to text-only. But should students learn with a single type of visual…

Adapting the Unique Minds Program: Exploring the Feasibility of a Multiple Family Intervention for Children with Learning Disabilities in the Context of Spain.

Science.gov (United States)

López-Larrosa, Silvia; González-Seijas, Rosa M; Carpenter, John S W

2017-06-01

The Unique Minds Program (Stern, Unique Minds Program, 1999) addresses the socio-emotional needs of children with learning disabilities (LD) and their families. Children and their parents work together in a multiple family group to learn more about LD and themselves as people with the capacity to solve problems in a collaborative way, including problems in family school relationships. This article reports the cultural adaptation of the program for use in Spain and findings from a feasibility study involving three multiple family groups and a total of 15 children and 15 mothers, using a pre-post design. This Spanish adaptation of the program is called "Mentes Únicas". Standardized outcome measures indicated an overall statistically significant decrease in children's self-rated maladjustment and relationship difficulties by the end of the program. Improvements were endorsed by most mothers, although they were not always recognized by the children's teachers. The program had a high level of acceptability: Mothers and children felt safe, understood, and helped throughout the sessions. The efficacy of the adapted intervention for the context of Spain remains to be tested in a more rigorous study. © 2016 Family Process Institute.

Semi-supervised learning via regularized boosting working on multiple semi-supervised assumptions.

Science.gov (United States)

Chen, Ke; Wang, Shihai

2011-01-01

Semi-supervised learning concerns the problem of learning in the presence of labeled and unlabeled data. Several boosting algorithms have been extended to semi-supervised learning with various strategies. To our knowledge, however, none of them takes all three semi-supervised assumptions, i.e., smoothness, cluster, and manifold assumptions, together into account during boosting learning. In this paper, we propose a novel cost functional consisting of the margin cost on labeled data and the regularization penalty on unlabeled data based on three fundamental semi-supervised assumptions. Thus, minimizing our proposed cost functional with a greedy yet stagewise functional optimization procedure leads to a generic boosting framework for semi-supervised learning. Extensive experiments demonstrate that our algorithm yields favorite results for benchmark and real-world classification tasks in comparison to state-of-the-art semi-supervised learning algorithms, including newly developed boosting algorithms. Finally, we discuss relevant issues and relate our algorithm to the previous work.

Mechanisms underlying the social enhancement of vocal learning in songbirds.

Science.gov (United States)

Chen, Yining; Matheson, Laura E; Sakata, Jon T

2016-06-14

Social processes profoundly influence speech and language acquisition. Despite the importance of social influences, little is known about how social interactions modulate vocal learning. Like humans, songbirds learn their vocalizations during development, and they provide an excellent opportunity to reveal mechanisms of social influences on vocal learning. Using yoked experimental designs, we demonstrate that social interactions with adult tutors for as little as 1 d significantly enhanced vocal learning. Social influences on attention to song seemed central to the social enhancement of learning because socially tutored birds were more attentive to the tutor's songs than passively tutored birds, and because variation in attentiveness and in the social modulation of attention significantly predicted variation in vocal learning. Attention to song was influenced by both the nature and amount of tutor song: Pupils paid more attention to songs that tutors directed at them and to tutors that produced fewer songs. Tutors altered their song structure when directing songs at pupils in a manner that resembled how humans alter their vocalizations when speaking to infants, that was distinct from how tutors changed their songs when singing to females, and that could influence attention and learning. Furthermore, social interactions that rapidly enhanced learning increased the activity of noradrenergic and dopaminergic midbrain neurons. These data highlight striking parallels between humans and songbirds in the social modulation of vocal learning and suggest that social influences on attention and midbrain circuitry could represent shared mechanisms underlying the social modulation of vocal learning.

Comparison of learning preferences of Turkish children who had been applied cochlear implantation in Turkey and Germany according to theory of multiple intelligence.

Science.gov (United States)

Sahli, Sanem; Laszig, Roland; Aschendorff, Antje; Kroeger, Stefanie; Wesarg, Thomas; Belgin, Erol

2011-12-01

The aim of the study is to determinate the using dominant multiple intelligence types and compare the learning preferences of Turkish cochlear implanted children aged four to ten in Turkey and Germany according to Theory of multiple intelligence. The study has been conducted on a total of 80 children and four groups in Freiburg/Germany and Ankara/Turkey. The applications have been done in University of Freiburg, Cochlear Implant Center in Germany, and University of Hacettepe, ENT Department, Audiology and Speech Pathology Section in Turkey. In this study, the data have been collected by means of General Information Form and Cochlear Implant Information Form applied to parents. To determine the dominant multiple intelligence types of children, the TIMI (Teele Inventory of Multiple Intelligences) which was developed by Sue Teele have been used. The study results exposed that there was not a statistically significant difference on dominant intelligence areas and averages of scores of multiple intelligence types in control groups (p>0.05). Although, the dominant intelligence areas were different (except for first dominant intelligence) in cochlear implanted children in Turkey and Germany, there was not a statistically significant difference on averages of scores of dominant multiple intelligence types. Every hearing impaired child who started training, should be evaluated in terms of multiple intelligence areas and identified strengths and weaknesses. Multiple intelligence activities should be used in their educational programs. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

Profound hypoglycemia-ınduced by vaccinium corymbosum juice and laurocerasus fruit.

Science.gov (United States)

Aktan, Ahmet Hamdi; Ozcelik, Abdullah; Cure, Erkan; Cure, Medine Cumhur; Yuce, Suleyman

2014-01-01

An emergency intervention was performed in a 75-year-old male patient with hypoglycemic attack and blackout. Although he was diagnosed with prediabetes before 2 years, he did not take any anti-diabetic drug or follow dietary advice. He drank Vaccinium corymbosum L (VC) juice daily with a belief that it increases sexual potency. Before the development of hypoglycemia, the patient had consumed about 500 ml VC juice in addition to eating 200-300 gram of Laurocerasus officinalis (LO) fruit. The measured plasma glucose (PG) level during loss of consciousness was 30 mg/dl. The profound hypoglycemia may be an unexpected side effect of an interaction between the chemical compositions of the two plants, occurred as a result of LO fruit intake that may have a strong PG-lowering effect or related to excessive intake of VC juice. Both plants may be considered in the alternative treatment of diabetes.

Reversal of rocuronium-induced (1.2 mg/kg) profound neuromuscular block by sugammadex: a multicenter, dose-finding and safety study.

NARCIS (Netherlands)

Boer, H.D. de; Driessen, J.J.; Marcus, M.A.; Kerkkamp, H.E.M.; Heeringa, M.; Klimek, M.

2007-01-01

BACKGROUND: Reversal of rocuronium-induced neuromuscular blockade can be accomplished by chemical encapsulation of rocuronium by sugammadex, a modified gamma-cyclodextrin derivative. This study investigated the efficacy and safety of sugammadex in reversing rocuronium-induced profound neuromuscular

Otolithic organ function in patients with profound sensorineural hearing loss

Directory of Open Access Journals (Sweden)

Yujuan Zhou

2016-06-01

Full Text Available Profound sensorineural hearing loss (PSHL is not uncommonly encountered in otology. In clinics, there is a high incidence of otolithic damage in patients with PSHL, but relevant reports are few. Sharing a continuous membranous structure and similar receptor cell ultrastructures, the cochlea and vestibule may be susceptible to the same harmful factors. Disorders of the inner ear may result in a variety of manifestations, including vertigo, spatial disorientation, blurred vision, impaired articulation, and hearing impairment. Considering the diversity of clinical symptoms associated with PSHL with otolithic dysfunction, it may be frequently misdiagnosed, and objective means of testing the function of otolithic organs should be recommended for hearing-impaired patients. Vestibular-evoked myogenic potentials (VEMPs via air-conducted sound are of great importance for the diagnosis of otolithic function. Hearing devices such as cochlear implants are commonly accepted treatments for PSHL, and early identification and treatment of vestibular disorders may increase the success rate of cochlear implantation. Therefore, it is necessary to increase awareness of otolithic functional states in patients with PSHL.

Using Functional Electrical Stimulation Mediated by Iterative Learning Control and Robotics to Improve Arm Movement for People With Multiple Sclerosis.

Science.gov (United States)

Sampson, Patrica; Freeman, Chris; Coote, Susan; Demain, Sara; Feys, Peter; Meadmore, Katie; Hughes, Ann-Marie

2016-02-01

Few interventions address multiple sclerosis (MS) arm dysfunction but robotics and functional electrical stimulation (FES) appear promising. This paper investigates the feasibility of combining FES with passive robotic support during virtual reality (VR) training tasks to improve upper limb function in people with multiple sclerosis (pwMS). The system assists patients in following a specified trajectory path, employing an advanced model-based paradigm termed iterative learning control (ILC) to adjust the FES to improve accuracy and maximise voluntary effort. Reaching tasks were repeated six times with ILC learning the optimum control action from previous attempts. A convenience sample of five pwMS was recruited from local MS societies, and the intervention comprised 18 one-hour training sessions over 10 weeks. The accuracy of tracking performance without FES and the amount of FES delivered during training were analyzed using regression analysis. Clinical functioning of the arm was documented before and after treatment with standard tests. Statistically significant results following training included: improved accuracy of tracking performance both when assisted and unassisted by FES; reduction in maximum amount of FES needed to assist tracking; and less impairment in the proximal arm that was trained. The system was well tolerated by all participants with no increase in muscle fatigue reported. This study confirms the feasibility of FES combined with passive robot assistance as a potentially effective intervention to improve arm movement and control in pwMS and provides the basis for a follow-up study.

An Enhanced Genetic Approach to Composing Cooperative Learning Groups for Multiple Grouping Criteria

Science.gov (United States)

Hwang, Gwo-Jen; Yin, Peng-Yeng; Hwang, Chi-Wei; Tsai, Chin-Chung

2008-01-01

Cooperative learning is known to be an effective educational strategy in enhancing the learning performance of students. The goal of a cooperative learning group is to maximize all members' learning efficacy. This is accomplished via promoting each other's success, through assisting, sharing, mentoring, explaining, and encouragement. To achieve…

Paired-Associate and Feedback-Based Weather Prediction Tasks Support Multiple Category Learning Systems

OpenAIRE

Li, Kaiyun; Fu, Qiufang; Sun, Xunwei; Zhou, Xiaoyan; Fu, Xiaolan

2016-01-01

It remains unclear whether probabilistic category learning in the feedback-based weather prediction task (FB-WPT) can be mediated by a non-declarative or procedural learning system. To address this issue, we compared the effects of training time and verbal working memory, which influence the declarative learning system but not the non-declarative learning system, in the FB and paired-associate (PA) WPTs, as the PA task recruits a declarative learning system. The results of Experiment 1 showed...

Examining relationships between staff attributions of soundscapes and core affect in people with severe or profound intellectual and visual disabilities

NARCIS (Netherlands)

van den Bosch, Kirsten A.; Vlaskamp, Carla; Andringa, Tjeerd C.; Post, Wendy J.; Ruijssenaars, Wied A.J.J.M.

Background: People with profound intellectual disabilities experience a high prevalence of visual disabilities, making them more dependent on sound. However, research addressing the influence of the auditory environment is scarce. Method: Observations of the auditory environments (soundscapes) and

Cross-situational statistical word learning in young children.

Science.gov (United States)

Suanda, Sumarga H; Mugwanya, Nassali; Namy, Laura L

2014-10-01

Recent empirical work has highlighted the potential role of cross-situational statistical word learning in children's early vocabulary development. In the current study, we tested 5- to 7-year-old children's cross-situational learning by presenting children with a series of ambiguous naming events containing multiple words and multiple referents. Children rapidly learned word-to-object mappings by attending to the co-occurrence regularities across these ambiguous naming events. The current study begins to address the mechanisms underlying children's learning by demonstrating that the diversity of learning contexts affects performance. The implications of the current findings for the role of cross-situational word learning at different points in development are discussed along with the methodological implications of employing school-aged children to test hypotheses regarding the mechanisms supporting early word learning. Copyright © 2014 Elsevier Inc. All rights reserved.

PENERAPAN MULTIPLE INTELEGENSI DALAM KEGIATAN BELAJAR-MENGAJAR

Directory of Open Access Journals (Sweden)

Nur Samsiyah

2016-11-01

Full Text Available Multiple intelegence is integrated inteligence possessed by anyone. Intelligence has been difined as the composition of ability and skill. Multiple intelligence consists of nine types of intelligence, i.e. linguistic, logic-mathematic, spatial, musical, kinesthetic, interpersonal, intrapersonal, naturalistic and extencial intelligence, each of which has its own characteristics. Multiple intelligence learning strategy empowers students to access information through intelligence that they do have respectively. To activate the students’ multiple intelligence, teachers can train the students to listening, reading, writing and balanced-intelligence. This strategy can be adopted by teachers with ubique focus for each student with his/ her most outstanding intelligence.

Globalisation and lifelong learning

DEFF Research Database (Denmark)

Rasmussen, Palle Damkjær

2006-01-01

The paper discusses how concepts and practises of lifelong learning interact with the multiple processes of globalisation that characterise the present. Three types of interaction are discussed: the role of international organisations in educational policies, the development of international...... educational markets and the unintended consequences of globalisation for education and learning....

Identifying College Students' Multiple Intelligences to Enhance Motivation and Language Proficiency

Science.gov (United States)

Madkour, Magda; Mohamed, Rafik Ahmed Abdel Moati

2016-01-01

While most research studies on the theory of multiple intelligences focused on the application of the multiple intelligences domains as separate components, this quasi-experimental research targeted the effect of multiple intelligences as integrated abilities for teaching and learning English at higher education. The purpose of this study was to…

Towards a Better Learning Models Through OCWs and MOOCs

Directory of Open Access Journals (Sweden)

Alicia Cordero

2015-08-01

Full Text Available Technological advances of XXth century have induced a profound change in society and, therefore, in the high education. Internet supposed a qualitative difference, as information and digital images flooded into homes around the world. The Universitat Politècnica de València (UPV is a medium sized university of Spain that has been involved in the development of digital video content (Polimedia to support teaching processes for several years. Joint with Polimedia and other learning objects (virtual laboratories, applets, etc., the UPV promoted the construction of OCWs. Along with the improvement of technology, MOOCs appeared as e-learning material. In this work, we analyze the advantages and drawbacks of OCWs and MOOCs when they are used in our classroom. This experience has led us to incorporate in our methodology the flip teaching.

From Continuous Improvement to Organisational Learning: Developmental Theory.