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https://www.readbyqxmd.com/read/28340356/acquiring-variation-in-an-artificial-language-children-and-adults-are-sensitive-to-socially-conditioned-linguistic-variation
#1
Anna Samara, Kenny Smith, Helen Brown, Elizabeth Wonnacott
Languages exhibit sociolinguistic variation, such that adult native speakers condition the usage of linguistic variants on social context, gender, and ethnicity, among other cues. While the existence of this kind of socially conditioned variation is well-established, less is known about how it is acquired. Studies of naturalistic language use by children provide various examples where children's production of sociolinguistic variants appears to be conditioned on similar factors to adults' production, but it is difficult to determine whether this reflects knowledge of sociolinguistic conditioning or systematic differences in the input to children from different social groups...
March 21, 2017: Cognitive Psychology
https://www.readbyqxmd.com/read/28334611/somatosensory-cortex-plays-an-essential-role-in-forelimb-motor-adaptation-in-mice
#2
Mackenzie Weygandt Mathis, Alexander Mathis, Naoshige Uchida
Our motor outputs are constantly re-calibrated to adapt to systematic perturbations. This motor adaptation is thought to depend on the ability to form a memory of a systematic perturbation, often called an internal model. However, the mechanisms underlying the formation, storage, and expression of such models remain unknown. Here, we developed a mouse model to study forelimb adaptation to force field perturbations. We found that temporally precise photoinhibition of somatosensory cortex (S1) applied concurrently with the force field abolished the ability to update subsequent motor commands needed to reduce motor errors...
March 22, 2017: Neuron
https://www.readbyqxmd.com/read/28334345/effects-of-age-and-gender-on-recall-and-recognition-discriminability
#3
Lisa V Graves, Charles C Moreno, Michelle Seewald, Heather M Holden, Emily J Van Etten, Vedang Uttarwar, Carrie R McDonald, Lisa Delano-Wood, Mark W Bondi, Steven Paul Woods, Dean C Delis, Paul E Gilbert
Objective: Recall and recognition memory abilities are known to decline with increasing age, yet much of the evidence stems from studies that used simple measures of total target recall or recognition. The California Verbal Learning Test-Second Edition (CVLT-II) includes a new measure of recall discriminability that is analogous to recognition discriminability. These discriminability measures yield more thorough assessments of recall and recognition by accounting for intrusion and false positive errors, respectively...
March 17, 2017: Archives of Clinical Neuropsychology: the Official Journal of the National Academy of Neuropsychologists
https://www.readbyqxmd.com/read/28334252/individualized-prediction-of-reading-comprehension-ability-using-gray-matter-volume
#4
Zaixu Cui, Mengmeng Su, Liangjie Li, Hua Shu, Gaolang Gong
Reading comprehension is a crucial reading skill for learning and putatively contains 2 key components: reading decoding and linguistic comprehension. Current understanding of the neural mechanism underlying these reading comprehension components is lacking, and whether and how neuroanatomical features can be used to predict these 2 skills remain largely unexplored. In the present study, we analyzed a large sample from the Human Connectome Project (HCP) dataset and successfully built multivariate predictive models for these 2 skills using whole-brain gray matter volume features...
March 10, 2017: Cerebral Cortex
https://www.readbyqxmd.com/read/28334208/morphologically-constrained-spectral-unmixing-by-dictionary-learning-for-multiplex-fluorescence-microscopy
#5
Murad Megjhani, Pedro Correa de Sampaio, Julienne Leigh Carstens, Raghu Kalluri, Badrinath Roysam
Motivation: Current spectral unmixing methods for multiplex fluorescence microscopy have a limited ability to cope with high spectral overlap as they only analyze spectral information over individual pixels. Here, we present adaptive Morphologically Constrained Spectral Unmixing (MCSU) algorithms that overcome this limitation by exploiting morphological differences between sub-cellular structures, and their local spatial context. Results: The proposed method was effective at improving spectral unmixing performance by exploiting: (i) a set of dictionary-based models for object morphologies learned from the image data; and (ii) models of spatial context learned from the image data using a total variation algorithm...
March 2, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28334023/preferences-for-the-provision-of-whole-genome-sequencing-services-among-young-adults
#6
Christopher H Wade, Kailyn R Elliott
OBJECTIVES: As whole genome sequencing (WGS) becomes increasingly available, clinicians will be faced with conveying complex information to individuals at different stages in life. The purpose of this study is to characterize the views of young adults toward obtaining WGS, learning different types of genomic information, and having choice about which results are disclosed. METHODS: A mixed-methods descriptive study was conducted with a diverse group of 18 and 19-years-olds (N = 145)...
2017: PloS One
https://www.readbyqxmd.com/read/28333997/learning-better-by-repetition-or-variation-is-transfer-at-odds-with-task-specific-training
#7
Emmanuel Bonney, Lemke Dorothee Jelsma, Gillian D Ferguson, Bouwien C M Smits-Engelsman
OBJECTIVE: Transfer of motor skills is the ultimate goal of motor training in rehabilitation practice. In children with Developmental Coordination Disorder (DCD), very little is known about how skills are transferred from training situations to real life contexts. In this study we examined the influence of two types of practice on transfer of motor skills acquired in a virtual reality (VR) environment. METHOD: One hundred and eleven children with DCD and their typically developing (TD) peers, aged 6-10 years (M = 8...
2017: PloS One
https://www.readbyqxmd.com/read/28333630/multilinear-spatial-discriminant-analysis-for-dimensionality-reduction
#8
Sen Yuan, Xia Mao, Lijiang Chen
In the last few years, great efforts have been made to extend linear projection technique (LPT) for multidimensional data (i.e. tensor), generally referred to as multilinear projection technique (MPT). The vectorized nature of LPT requires high dimensional data to be converted to vector, hence may lose spatial neighborhood information of raw data. MPT well addresses this problem by encoding multidimensional data as general tensors of second or even higher order. In this paper, we propose a novel multilinear projection technique, called multilinear spatial discriminant analysis (MSDA), to identify the underlying manifold of high-order tensor data...
March 21, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28332914/effects-of-a-working-memory-training-program-in-preschoolers-with-symptoms-of-attention-deficit-hyperactivity-disorder
#9
Agnese Capodieci, Maria Laura Gola, Cesare Cornoldi, Anna Maria Re
INTRODUCTION: Preschoolers with attention-deficit/hyperactivity disorder (ADHD) have been found to exhibit impairments on neuropsychological measures of working memory (WM). As WM is an important predictor of future learning abilities, early intervention could help to prevent severe problems. The purpose of this research was to ascertain the efficacy of an intervention for training WM in 5-year-old children with symptoms of ADHD. METHOD: Thirty-four children with symptoms of ADHD were randomly divided into two groups: One was assigned to the WM training condition, and the other continued normal class activities...
March 23, 2017: Journal of Clinical and Experimental Neuropsychology
https://www.readbyqxmd.com/read/28332224/monitoring-and-regulation-of-learning-in-medical-education-the-need-for-predictive-cues
#10
Anique B H de Bruin, John Dunlosky, Rodrigo B Cavalcanti
CONTEXT: Being able to accurately monitor learning activities is a key element in self-regulated learning in all settings, including medical schools. Yet students' ability to monitor their progress is often limited, leading to inefficient use of study time. Interventions that improve the accuracy of students' monitoring can optimise self-regulated learning, leading to higher achievement. This paper reviews findings from cognitive psychology and explores potential applications in medical education, as well as areas for future research...
March 23, 2017: Medical Education
https://www.readbyqxmd.com/read/28331847/learning-parsimonious-classification-rules-from-gene-expression-data-using-bayesian-networks-with-local-structure
#11
Jonathan Lyle Lustgarten, Jeya Balaji Balasubramanian, Shyam Visweswaran, Vanathi Gopalakrishnan
The comprehensibility of good predictive models learned from high-dimensional gene expression data is attractive because it can lead to biomarker discovery. Several good classifiers provide comparable predictive performance but differ in their abilities to summarize the observed data. We extend a Bayesian Rule Learning (BRL-GSS) algorithm, previously shown to be a significantly better predictor than other classical approaches in this domain. It searches a space of Bayesian networks using a decision tree representation of its parameters with global constraints, and infers a set of IF-THEN rules...
March 2017: Data (Basel)
https://www.readbyqxmd.com/read/28331455/exploring-patient-caregiver-and-healthcare-provider-perceptions-of-caring-for-patients-with-heart-failure-what-are-the-implications
#12
Betty M Kennedy, Vijayendra Jaligam, Beverly K Conish, William D Johnson, Brian Melancon, Peter T Katzmarzyk
BACKGROUND: Heart failure (HF) is an incurable and frequently progressive disease. Symptoms of HF may impair the ability of patients to perform daily living activities. As HF progresses, patients typically increase their reliance on caregivers. The purpose of this study was to determine what roles patients and caregivers perceive and desire for themselves in managing HF and to compare and contrast these roles with those perceived by healthcare providers. METHODS: A purposive sample (60 patients, 22 caregivers, and 11 healthcare providers) was enrolled in the study...
2017: Ochsner Journal
https://www.readbyqxmd.com/read/28331249/effectiveness-of-mind-mapping-technique-in-information-retrieval-among-medical-college-students-in-puducherry-a-pilot-study
#13
Madhanraj Kalyanasundaram, Sherin Billy Abraham, Divija Ramachandran, Venkatachalam Jayaseelan, Joy Bazroy, Zile Singh, Anil Jacob Purty
BACKGROUND: The traditional teaching learning methods involve a one way process of transmission of knowledge leaving the students lacking behind in creative abilities. Medical schools need to change their teaching strategies to keep the interest of students and empower them for future self- learning and critical thinking. OBJECTIVE: To assess the impact of mind mapping technique in information retrieval among medical college students in Puducherry. METHODS: A pilot study was conducted using experimental study design among sixth semester MBBS students (n = 64) at a medical college in Puducherry, India...
January 2017: Indian Journal of Community Medicine
https://www.readbyqxmd.com/read/28329896/characterizing-literacy-and-cognitive-function-during-pregnancy-and-postpartum
#14
Lynn M Yee, Leslie A Kamel, Zara Quader, Priya V Rajan, Shaneah M Taylor, Rachel O'Conor, Michael S Wolf, Melissa A Simon
Objective The objective of this study was to characterize health literacy and cognitive function in a diverse cohort of pregnant women. Methods Pregnant and postpartum women underwent in-depth assessments of health literacy/numeracy and the cognitive domains of verbal ability, working memory, long-term memory, processing speed, and inductive reasoning. Differences by demographic characteristics and gestational age were assessed using chi-square tests and multivariable logistic regression. Results In this cohort of pregnant (N = 77) or postpartum (N = 24) women, 41...
March 22, 2017: American Journal of Perinatology
https://www.readbyqxmd.com/read/28329840/a-multi-faceted-approach-to-promote-comprehension-of-online-health-information-among-older-adults
#15
Jessie Chin, Darcie D Moeller, Jessica Johnson, Elise A G Duwe, James F Graumlich, Michael D Murray, Daniel G Morrow
Purpose of the Study: Older adults' self-care often depends on understanding and utilizing health information. Inadequate health literacy among older adults poses a barrier to self-care because it hampers comprehension of this information, particularly when the information is not well-designed. Our goal was to improve comprehension of online health information among older adults with hypertension who varied in health literacy abilities. Design and Methods: We identified passages about hypertension self-care from credible websites (typical passages)...
March 10, 2017: Gerontologist
https://www.readbyqxmd.com/read/28329757/neural-ensemble-dynamics-underlying-a-long-term-associative-memory
#16
Benjamin F Grewe, Jan Gründemann, Lacey J Kitch, Jerome A Lecoq, Jones G Parker, Jesse D Marshall, Margaret C Larkin, Pablo E Jercog, Francois Grenier, Jin Zhong Li, Andreas Lüthi, Mark J Schnitzer
The brain's ability to associate different stimuli is vital for long-term memory, but how neural ensembles encode associative memories is unknown. Here we studied how cell ensembles in the basal and lateral amygdala encode associations between conditioned and unconditioned stimuli (CS and US, respectively). Using a miniature fluorescence microscope, we tracked the Ca(2+) dynamics of ensembles of amygdalar neurons during fear learning and extinction over 6 days in behaving mice. Fear conditioning induced both up- and down-regulation of individual cells' CS-evoked responses...
March 22, 2017: Nature
https://www.readbyqxmd.com/read/28329433/understanding-maternal-postpartum-needs-a-descriptive-survey-of-current-maternal-health-services
#17
Mona Ma Almalik
OBJECTIVE: To assess mothers' learning needs and concerns after giving birth and to examine whether these needs were met at 6-8 weeks postpartum. BACKGROUND: Women experience many physiologic and psychological changes during postpartum period which is considered a vital transitional time. Exploring and meeting women's needs help woman to pass this period with little complications and enhance health care provider's ability to provide appropriate care following childbirth...
March 22, 2017: Journal of Clinical Nursing
https://www.readbyqxmd.com/read/28329000/trajectory-formation-principles-are-the-same-after-mild-or-moderate-stroke
#18
Denis Mottet, Liesjet Elisabeth Henriette van Dokkum, Jérôme Froger, Abdelkader Gouaïch, Isabelle Laffont
When we make rapid reaching movements, we have to trade speed for accuracy. To do so, the trajectory of our hand is the result of an optimal balance between feed-forward and feed-back control in the face of signal-dependant noise in the sensorimotor system. How far do these principles of trajectory formation still apply after a stroke, for persons with mild to moderate sensorimotor deficits who recovered some reaching ability? Here, we examine the accuracy of fast hand reaching movements with a focus on the information capacity of the sensorimotor system and its relation to trajectory formation in young adults, in persons who had a stroke and in age-matched control participants...
2017: PloS One
https://www.readbyqxmd.com/read/28328512/multitarget-sparse-latent-regression
#19
Xiantong Zhen, Mengyang Yu, Feng Zheng, Ilanit Ben Nachum, Mousumi Bhaduri, David Laidley, Shuo Li
Multitarget regression has recently generated intensive popularity due to its ability to simultaneously solve multiple regression tasks with improved performance, while great challenges stem from jointly exploring inter-target correlations and input-output relationships. In this paper, we propose multitarget sparse latent regression (MSLR) to simultaneously model intrinsic intertarget correlations and complex nonlinear input-output relationships in one single framework. By deploying a structure matrix, the MSLR accomplishes a latent variable model which is able to explicitly encode intertarget correlations via ℓ2,1-norm-based sparse learning; the MSLR naturally admits a representer theorem for kernel extension, which enables it to flexibly handle highly complex nonlinear input-output relationships; the MSLR can be solved efficiently by an alternating optimization algorithm with guaranteed convergence, which ensures efficient multitarget regression...
March 16, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28328252/liberal-entity-extraction-rapid-construction-of-fine-grained-entity-typing-systems
#20
Lifu Huang, Jonathan May, Xiaoman Pan, Heng Ji, Xiang Ren, Jiawei Han, Lin Zhao, James A Hendler
The ability of automatically recognizing and typing entities in natural language without prior knowledge (e.g., predefined entity types) is a major challenge in processing such data. Most existing entity typing systems are limited to certain domains, genres, and languages. In this article, we propose a novel unsupervised entity-typing framework by combining symbolic and distributional semantics. We start from learning three types of representations for each entity mention: general semantic representation, specific context representation, and knowledge representation based on knowledge bases...
March 2017: Big Data
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