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https://www.readbyqxmd.com/read/28734837/neural-reuse-of-action-perception-circuits-for-language-concepts-and-communication
#1
REVIEW
Friedemann Pulvermüller
Neurocognitive and neurolinguistics theories make explicit statements relating specialized cognitive and linguistic processes to specific brain loci. These linking hypotheses are in need of neurobiological explanation. Recent mathematical models of human language mechanisms constrained by fundamental neuroscience principles and established knowledge about comparative neuroanatomy offer explanations for where, when and how language is processed in the human brain. In these models, network structure and connectivity along with action- and perception-induced correlation of neuronal activity co-determine neurocognitive mechanisms...
July 19, 2017: Progress in Neurobiology
https://www.readbyqxmd.com/read/28734509/global-disability-empowering-children-of-all-abilities
#2
REVIEW
Rebecca J Scharf, Angelina Maphula, Paige C Pullen, Rita Shrestha, Gaynell Paul Matherne, Reeba Roshan, Beena Koshy
Worldwide, children are often not meeting their developmental potential owing to malnutrition, infection, lack of stimulation, and toxic stress. Children with disabilities are more likely to experience poverty, neglect, and abuse, and are less likely to have adequate access to education and medical care. Early childhood developmental stimulation can improve language, learning, and future participation in communities. Therapeutic supports and endeavors to reduce stigma for people of all abilities strengthen communities and allow for human thriving...
August 2017: Pediatric Clinics of North America
https://www.readbyqxmd.com/read/28733902/clustering-and-candidate-motif-detection-in-exosomal-mirnas-by-application-of-machine-learning-algorithms
#3
Pallavi Gaur, Anoop Chaturvedi
BACKGROUND: The clustering pattern and motifs give immense information about any biological data. An application of machine learning algorithms for clustering and candidate motif detection in miRNAs derived from exosomes is depicted in this paper. Recent progress in the field of exosome research and more particularly regarding exosomal miRNAs has led much bioinformatic-based research to come into existence. The information on clustering pattern and candidate motifs in miRNAs of exosomal origin would help in analyzing existing, as well as newly discovered miRNAs within exosomes...
July 22, 2017: Interdisciplinary Sciences, Computational Life Sciences
https://www.readbyqxmd.com/read/28733273/whatsapp-messenger-as-an-adjunctive-tool-for-telemedicine-an-overview
#4
Vincenzo Giordano, Hilton Koch, Alexandre Godoy-Santos, William Dias Belangero, Robinson Esteves Santos Pires, Pedro Labronici
BACKGROUND: The advent of telemedicine has allowed physicians to deliver medical treatment to patients from a distance. Mobile apps such as WhatsApp Messenger, an instant messaging service, came as a novel concept in all fields of social life, including medicine. The use of instant messaging services has been shown to improve communication within medical teams by providing means for quick teleconsultation, information sharing, and starting treatment as soon as possible. OBJECTIVE: The aim of this study was to perform a comprehensive systematic review of present literature on the use of the WhatsApp Messenger app as an adjunctive health care tool for medical doctors...
July 21, 2017: Interactive Journal of Medical Research
https://www.readbyqxmd.com/read/28731401/intraoperative-perception-and-estimates-on-extent-of-resection-during-awake-glioma-surgery-overcoming-the-learning-curve
#5
Darryl Lau, Shawn L Hervey-Jumper, Seunggu J Han, Mitchel S Berger
OBJECTIVE There is ample evidence that extent of resection (EOR) is associated with improved outcomes for glioma surgery. However, it is often difficult to accurately estimate EOR intraoperatively, and surgeon accuracy has yet to be reviewed. In this study, the authors quantitatively assessed the accuracy of intraoperative perception of EOR during awake craniotomy for tumor resection. METHODS A single-surgeon experience of performing awake craniotomies for tumor resection over a 17-year period was examined...
July 21, 2017: Journal of Neurosurgery
https://www.readbyqxmd.com/read/28729753/gesture-and-intonation-are-sister-systems-of-infant-communication-evidence-from-regression-patterns-of-language-development
#6
David P Snow
This study investigates infants' transition from nonverbal to verbal communication using evidence from regression patterns. As an example of regressions, prelinguistic infants learning American Sign Language (ASL) use pointing gestures to communicate. At the onset of single signs, however, these gestures disappear. Petitto (1987) attributed the regression to the children's discovery that pointing has two functions, namely, deixis and linguistic pronouns. The 1:2 relation (1 form, 2 functions) violates the simple 1:1 pattern that infants are believed to expect...
January 2017: Language Sciences
https://www.readbyqxmd.com/read/28729533/common-brain-structure-findings-across-children-with-varied-reading-disability-profiles
#7
Mark A Eckert, Kenneth I Vaden, Amanda B Maxwell, Stephanie L Cute, Mulugeta Gebregziabher, Virginia W Berninger
Dyslexia is a developmental disorder in reading that exhibits varied patterns of expression across children. Here we examined the degree to which different kinds of reading disabilities (defined as profiles or patterns of reading problems) contribute to brain morphology results in Jacobian determinant images that represent local brain shape and volume. A matched-pair brain morphometry approach was used to control for confounding from brain size and research site effects in this retrospective multi-site study of 134 children from eight different research sites...
July 20, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28728937/the-impact-of-machine-learning-techniques-in-the-study-of-bipolar-disorder-a-systematic-review
#8
REVIEW
Diego Librenza-Garcia, Bruno Jaskulski Kotzian, Jessica Yang, Benson Mwangi, Bo Cao, Luiza Nunes Pereira Lima, Mariane Bagatin Bermudez, Manuela Vianna Boeira, Flávio Kapczinski, Ives Cavalcante Passos
Machine learning techniques provide new methods to predict diagnosis and clinical outcomes at an individual level. We aim to review the existing literature on the use of machine learning techniques in the assessment of subjects with bipolar disorder. We systematically searched PubMed, Embase and Web of Science for articles published in any language up to January 2017. We found 757 abstracts and included 51 studies in our review. Most of the included studies used multiple levels of biological data to distinguish the diagnosis of bipolar disorder from other psychiatric disorders or healthy controls...
July 17, 2017: Neuroscience and Biobehavioral Reviews
https://www.readbyqxmd.com/read/28726762/user-interaction-modeling-and-profile-extraction-in-interactive-systems-a-groupware-application-case-study
#9
Cristina Tîrnăucă, Rafael Duque, José L Montaña
A relevant goal in human-computer interaction is to produce applications that are easy to use and well-adjusted to their users' needs. To address this problem it is important to know how users interact with the system. This work constitutes a methodological contribution capable of identifying the context of use in which users perform interactions with a groupware application (synchronous or asynchronous) and provides, using machine learning techniques, generative models of how users behave. Additionally, these models are transformed into a text that describes in natural language the main characteristics of the interaction of the users with the system...
July 20, 2017: Sensors
https://www.readbyqxmd.com/read/28726544/evaluating-wais-iv-structure-through-a-different-psychometric-lens-structural-causal-model-discovery-as-an-alternative-to-confirmatory-factor-analysis
#10
Marjolein J A M van Dijk, Tom Claassen, Christiany Suwartono, William M van der Veld, Paul T van der Heijden, Marc P H Hendriks
OBJECTIVE: Since the publication of the WAIS-IV in the U.S. in 2008, efforts have been made to explore the structural validity by applying factor analysis to various samples. This study aims to achieve a more fine-grained understanding of the structure of the Dutch language version of the WAIS-IV (WAIS-IV-NL) by applying an alternative analysis based on causal modeling in addition to confirmatory factor analysis (CFA). The Bayesian Constraint-based Causal Discovery (BCCD) algorithm learns underlying network structures directly from data and assesses more complex structures than is possible with factor analysis...
July 20, 2017: Clinical Neuropsychologist
https://www.readbyqxmd.com/read/28726532/local-to-global-working-together-to-meet-the-needs-of-vulnerable-communities
#11
Anne Dressel, Lucy Mkandawire-Valhmu, Ann Dietrich, Ellen Chirwa, Florence Mgawadere, Sylvia Kambalametore, Peninnah Kako
Since 2012, the University of Wisconsin-Milwaukee (UWM) faculty from nursing and physical therapy (PT) have been working together towards a common goal: to meet the healthcare needs of vulnerable populations in Malawi and Milwaukee. Sharing valuable knowledge and understanding one another's professions have allowed us to develop interprofessional education (IPE) learning experiences for students to help identify how quality of life could be improved or enhanced for children and their families across two different geographic spaces, one in rural Malawi and the other in urban Milwaukee...
July 20, 2017: Journal of Interprofessional Care
https://www.readbyqxmd.com/read/28726445/the-hebb-repetition-effect-as-a-laboratory-analogue-of-language-acquisition-learning-three-lists-at-no-cost
#12
Jean Saint-Aubin, Katherine Guérard
The Hebb repetition effect (i.e., the enhanced recall performance for a sequence of items that is repeated during a serial recall experiment) is considered an experimental analogue to language learning. However, although language learning occurs in a context in which multiple verbal sequences are repeated concurrently, the effect of increasing the number of repeated sequences in the Hebb repetition paradigm has received little attention, and previous studies have used tasks that depart considerably from the natural language learning experience...
July 20, 2017: Canadian Journal of Experimental Psychology, Revue Canadienne de Psychologie Expérimentale
https://www.readbyqxmd.com/read/28725643/crisis-team-management-in-a-scarce-resource-setting-angkor-hospital-for-children-in-siem-reap-cambodia
#13
Richard Alynn Henker, Hiroko Henker, Hor Eng, John O'Donnell, Tachawan Jirativanont
INTRODUCTION: A crisis team management (CTM) simulation course was developed by volunteers from Health Volunteers Overseas for physicians and nurses at Angkor Hospital for Children (AHC) in Siem Reap, Cambodia. The framework for the course was adapted from crisis resource management (1, 2), crisis team training (3), and TeamSTEPPs© models (4). The CTM course focused on teaching physicians and nurses on the development of team performance knowledge, skills, and attitudes. Challenges to providing this course at AHC included availability of simulation equipment, cultural differences in learning, and language barriers...
2017: Frontiers in Public Health
https://www.readbyqxmd.com/read/28720423/undergraduate-clinical-teaching-in-orthopedic-surgery-a-randomized-control-trial-comparing-the-effect-of-case-based-teaching-and-bedside-teaching-on-musculoskeletal-osce-performance
#14
Martin Kelly, Iain Feeley, Fiona Boland, John M O'Byrne
INTRODUCTION: Musculoskeletal (MSK) complaints are the second most common reason for a hospital outpatient appointment in the US, and account for 19.5% of general practice consultations. Previous studies have shown that passive teaching in medical school does not imbue students with an adequate degree of confidence in MSK evaluation. The aim of this study was to conduct a randomized control trial to compare the effect of the gold standard small group tutorial of bedside teaching against case-based teaching (CBT) in relation to orthopedic surgery in medical students...
July 15, 2017: Journal of Surgical Education
https://www.readbyqxmd.com/read/28720168/infant-statistical-learning-ability-is-related-to-real-time-language-processing
#15
Jill Lany, Amber Shoaib, Abbie Thompson, Katharine Graf Estes
Infants are adept at learning statistical regularities in artificial language materials, suggesting that the ability to learn statistical structure may support language development. Indeed, infants who perform better on statistical learning tasks tend to be more advanced in parental reports of infants' language skills. Work with adults suggests that one way statistical learning ability affects language proficiency is by facilitating real-time language processing. Here we tested whether 15-month-olds' ability to learn sequential statistical structure in artificial language materials is related to their ability to encode and interpret native-language speech...
July 19, 2017: Journal of Child Language
https://www.readbyqxmd.com/read/28720028/growth-of-word-and-pseudoword-reading-efficiency-in-alphabetic-orthographies-impact-of-consistency
#16
Markéta Caravolas
Word and pseudoword reading are related abilities fundamental to reading development in alphabetic orthographies. They are respectively assumed to index children's orthographic representations of words, which are in turn acquired through the underlying "self-teaching mechanism" of alphabetic pseudoword decoding. Little is known about concurrent growth trajectories of these skills in the early grades among children learning different alphabetic orthographies. In the present study, between- and within-group latent growth models of word and pseudoword reading efficiency were tested on data spanning Grades 1 and 2 from learners of the inconsistent English and consistent Czech and Slovak orthographies...
July 1, 2017: Journal of Learning Disabilities
https://www.readbyqxmd.com/read/28718087/speaking-two-languages-in-america-a-semantic-space-analysis-of-how-presidential-candidates-and-their-supporters-represent-abstract-political-concepts-differently
#17
Ping Li, Benjamin Schloss, D Jake Follmer
In this article we report a computational semantic analysis of the presidential candidates' speeches in the two major political parties in the USA. In Study One, we modeled the political semantic spaces as a function of party, candidate, and time of election, and findings revealed patterns of differences in the semantic representation of key political concepts and the changing landscapes in which the presidential candidates align or misalign with their parties in terms of the representation and organization of politically central concepts...
July 17, 2017: Behavior Research Methods
https://www.readbyqxmd.com/read/28717600/implementation-of-the-xpert-mtb-rif-assay-for-tuberculosis-in-mongolia-a-qualitative-exploration-of-barriers-and-enablers
#18
Nicole L Rendell, Solongo Bekhbat, Gantungalag Ganbaatar, Munkhjargal Dorjravdan, Madhukar Pai, Claudia C Dobler
OBJECTIVE: The aim of our study was to identify barriers and enablers to implementation of the Xpert MTB/RIF test within Mongolia's National Tuberculosis Program. METHODS: Twenty-foursemi-structured interviews were conducted between June and September 2015 with laboratory staff and tuberculosis physicians in Mongolia's capital Ulaanbaatar and regional towns where Xpert MTB/RIF testing had been implemented. Interviews were recorded, transcribed, translated and analysed thematically using NVIVO qualitative analysis software...
2017: PeerJ
https://www.readbyqxmd.com/read/28715548/interprofessional-peer-assisted-learning-as-a-model-of-instruction-in-doctor-of-audiology-programs
#19
Yula C Serpanos, Deborah Senzer, Daryl M Gordon
Purpose: This study reports on interprofessional peer-assisted learning (PAL) as a model of instruction in the preparation of doctoral audiology students. Method: Ten Doctor of Audiology (AuD) students provided training in audiologic screening for 53 graduate speech-language pathology students in 9 individual PAL sessions. Pre- and post-surveys assessed the peer teaching experience for AuD students in 5 areas of their confidence in audiologic screening: knowledge, skill, making a referral based on outcomes, teaching, and supervising...
July 13, 2017: American Journal of Audiology
https://www.readbyqxmd.com/read/28714447/feasibility-of-automating-patient-acuity-measurement-using-a-machine-learning-algorithm
#20
Caitlin W Brennan, Frank Meng, Mark M Meterko, Leonard W D'Avolio
BACKGROUND AND PURPOSE: One method of determining nurse staffing is to match patient demand for nursing care (patient acuity) with available nursing staff. This pilot study explored the feasibility of automating acuity measurement using a machine learning algorithm. METHODS: Natural language processing combined with a machine learning algorithm was used to predict acuity levels based on electronic health record data. RESULTS: The algorithm was able to predict acuity relatively well...
December 1, 2016: Journal of Nursing Measurement
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