keyword
MENU ▼
Read by QxMD icon Read
search

Experience learning

keyword
https://www.readbyqxmd.com/read/28335394/motor-function-evaluation-of-hemiplegic-upper-extremities-using-data-fusion-from-wearable-inertial-and-surface-emg-sensors
#1
Yanran Li, Xu Zhang, Yanan Gong, Ying Cheng, Xiaoping Gao, Xiang Chen
Quantitative evaluation of motor function is of great demand for monitoring clinical outcome of applied interventions and further guiding the establishment of therapeutic protocol. This study proposes a novel framework for evaluating upper limb motor function based on data fusion from inertial measurement units (IMUs) and surface electromyography (EMG) sensors. With wearable sensors worn on the tested upper limbs, subjects were asked to perform eleven straightforward, specifically designed canonical upper-limb functional tasks...
March 13, 2017: Sensors
https://www.readbyqxmd.com/read/28334786/lessons-learned-from-community-based-participatory-research-establishing-a-partnership-to-support-lesbian-gay-bisexual-and-transgender-ageing-in-place
#2
Leslie A Wright, Diane K King, Jessica H Retrum, Kenneth Helander, Shari Wilkins, Jennifer M Boggs, Jennifer Dickman Portz, Kathryn Nearing, Wendolyn S Gozansky
Background.: Due to a history of oppression and lack of culturally competent services, lesbian, gay, bisexual and transgender (LGBT) seniors experience barriers to accessing social services. Tailoring an evidence-based ageing in place intervention to address the unique needs of LGBT seniors may decrease the isolation often faced by this population. Objective.: To describe practices used in the formation of a community-based participatory research (CBPR), partnership involving social workers, health services providers, researchers and community members who engaged to establish a LGBT ageing in place model called Seniors Using Supports To Age In Neighborhoods (SUSTAIN)...
February 21, 2017: Family Practice
https://www.readbyqxmd.com/read/28334608/parvalbumin-interneurons-modulate-striatal-output-and-enhance-performance-during-associative-learning
#3
Kwang Lee, Sandra M Holley, Justin L Shobe, Natalie C Chong, Carlos Cepeda, Michael S Levine, Sotiris C Masmanidis
The prevailing view is that striatal parvalbumin (PV)-positive interneurons primarily function to downregulate medium spiny projection neuron (MSN) activity via monosynaptic inhibitory signaling. Here, by combining in vivo neural recordings and optogenetics, we unexpectedly find that both suppressing and over-activating PV cells attenuates spontaneous MSN activity. To account for this, we find that, in addition to monosynaptic coupling, PV-MSN interactions are mediated by a competing disynaptic inhibitory circuit involving a variety of neuropeptide Y-expressing interneurons...
March 22, 2017: Neuron
https://www.readbyqxmd.com/read/28334281/blocking-c-fos-expression-reveals-the-role-of-auditory-cortex-plasticity-in-sound-frequency-discrimination-learning
#4
Livia de Hoz, Dorota Gierej, Victoria Lioudyno, Jacek Jaworski, Magda Blazejczyk, Hugo Cruces-Solís, Anna Beroun, Tomasz Lebitko, Tomasz Nikolaev, Ewelina Knapska, Israel Nelken, Leszek Kaczmarek
The behavioral changes that comprise operant learning are associated with plasticity in early sensory cortices as well as with modulation of gene expression, but the connection between the behavioral, electrophysiological, and molecular changes is only partially understood. We specifically manipulated c-Fos expression, a hallmark of learning-induced synaptic plasticity, in auditory cortex of adult mice using a novel approach based on RNA interference. Locally blocking c-Fos expression caused a specific behavioral deficit in a sound discrimination task, in parallel with decreased cortical experience-dependent plasticity, without affecting baseline excitability or basic auditory processing...
March 17, 2017: Cerebral Cortex
https://www.readbyqxmd.com/read/28333955/producing-or-reproducing-reasoning-socratic-dialog-is-very-effective-but-only-for-a-few
#5
Andrea Paula Goldin, Olivia Pedroncini, Mariano Sigman
Successful communication between a teacher and a student is at the core of pedagogy. A well known example of a pedagogical dialog is 'Meno', a socratic lesson of geometry in which a student learns (or 'discovers') how to double the area of a given square 'in essence, a demonstration of Pythagoras' theorem. In previous studies we found that after engaging in the dialog participants can be divided in two kinds: those who can only apply a rule to solve the problem presented in the dialog and those who can go beyond and generalize that knowledge to solve any square problems...
2017: PloS One
https://www.readbyqxmd.com/read/28333828/prehospital-blood-transfusion-programs-capabilities-and-lessons-learned
#6
Martin D Zielinski, James R Stubbs, Kathleen S Berns, Elon Glassberg, Alan D Murdock, Eilat Shinar, Geir Arne Sunde, Steve Williams, Mark H Yazer, Scott Zietlow, Donald H Jenkins
The Trauma and Hemostasis Oxygenation Research (THOR) network has met in Bergen, Norway every summer over the past six years in an effort to have experts in transfusion, blood banking, military medicine, and trauma surgery exchange ideas, share their experiences, and set an agenda to move the science of remote damage control resuscitation forward. In this manuscript, we supply the lessons shared from the authors/speakers to the reader. These lessons include the experiences of the Norwegian Military with freeze dried plasma and whole blood resuscitation, lessons from extreme remote damage control resuscitation situations on oceanic cruises, and remote blood product resuscitation techniques at Mayo Clinic and the University of Pittsburgh...
March 22, 2017: Journal of Trauma and Acute Care Surgery
https://www.readbyqxmd.com/read/28333646/recurrent-neural-networks-with-auxiliary-memory-units
#7
Jianyong Wang, Lei Zhang, Quan Guo, Zhang Yi
Memory is one of the most important mechanisms in recurrent neural networks (RNNs) learning. It plays a crucial role in practical applications, such as sequence learning. With a good memory mechanism, long term history can be fused with current information, and can thus improve RNNs learning. Developing a suitable memory mechanism is always desirable in the field of RNNs. This paper proposes a novel memory mechanism for RNNs. The main contributions of this paper are: 1) an auxiliary memory unit (AMU) is proposed, which results in a new special RNN model (AMU-RNN), separating the memory and output explicitly and 2) an efficient learning algorithm is developed by employing the technique of error flow truncation...
March 21, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28333644/random-forest-classifier-for-zero-shot-learning-based-on-relative-attribute
#8
Yuhu Cheng, Xue Qiao, Xuesong Wang, Qiang Yu
For the zero-shot image classification with relative attributes (RAs), the traditional method requires that not only all seen and unseen images obey Gaussian distribution, but also the classifications on testing samples are made by maximum likelihood estimation. We therefore propose a novel zero-shot image classifier called random forest based on relative attribute. First, based on the ordered and unordered pairs of images from the seen classes, the idea of ranking support vector machine is used to learn ranking functions for attributes...
March 21, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28333630/multilinear-spatial-discriminant-analysis-for-dimensionality-reduction
#9
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/28333620/binary-online-learned-descriptors
#10
Vassileios Balntas, Lilian Tang, Krystian Mikolajczyk
We propose a novel approach to generate a binary descriptor optimized for each image patch independently. The approach is inspired by the linear discriminant embedding that simultaneously increases inter and decreases intra class distances. A set of discriminative and uncorrelated binary tests is established from all possible tests in an offline training process. The patch adapted descriptors are then efficiently built online from a subset of features which lead to lower intra-class distances and thus, to a more robust descriptor...
March 20, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28333605/can-all-doctors-be-like-this-seven-stories-of-communication-transformation-told-by-physicians-rated-highest-by-patients
#11
Tom Janisse, Karen Tallman
INTRODUCTION: The top predictors of patient satisfaction with clinical visits are the quality of the physician-patient relationship and the communications contributing to their relationship. How do physicians improve their communication, and what effect does it have on them? This article presents the verbatim stories of seven high-performing physicians describing their transformative change in the areas of communication, connection, and well-being. METHODS: Data for this study are based on interviews from a previous study in which a 6-question set was posed, in semistructured 60-minute interviews, to 77 of the highest-performing Permanente Medical Group physicians in 4 Regions on the "Art of Medicine" patient survey...
2017: Permanente Journal
https://www.readbyqxmd.com/read/28333586/modulation-of-context-dependent-spatiotemporal-patterns-within-packets-of-spiking-activity
#12
Miho Itoh, Timothée Leleu
Recent experiments have shown that stereotypical spatiotemporal patterns occur during brief packets of spiking activity in the cortex, and it has been suggested that top-down inputs can modulate these patterns according to the context. We propose a simple model that may explain important features of these experimental observations and is analytically tractable. The key mechanism underlying this model is that context-dependent top-down inputs can modulate the effective connection strengths between neurons because of short-term synaptic depression...
March 23, 2017: Neural Computation
https://www.readbyqxmd.com/read/28333585/fast-estimation-of-approximate-matrix-ranks-using-spectral-densities
#13
Shashanka Ubaru, Yousef Saad, Abd-Krim Seghouane
Many machine learning and data-related applications require the knowledge of approximate ranks of large data matrices at hand. This letter presents two computationally inexpensive techniques to estimate the approximate ranks of such matrices. These techniques exploit approximate spectral densities, popular in physics, which are probability density distributions that measure the likelihood of finding eigenvalues of the matrix at a given point on the real line. Integrating the spectral density over an interval gives the eigenvalue count of the matrix in that interval...
March 23, 2017: Neural Computation
https://www.readbyqxmd.com/read/28333584/unsupervised-2d-dimensionality-reduction-with-adaptive-structure-learning
#14
Xiaowei Zhao, Feiping Nie, Sen Wang, Jun Guo, Pengfei Xu, Xiaojiang Chen
In recent years, unsupervised two-dimensional (2D) dimensionality reduction methods for unlabeled large-scale data have made progress. However, performance of these degrades when the learning of similarity matrix is at the beginning of the dimensionality reduction process. A similarity matrix is used to reveal the underlying geometry structure of data in unsupervised dimensionality reduction methods. Because of noise data, it is difficult to learn the optimal similarity matrix. In this letter, we propose a new dimensionality reduction model for 2D image matrices: unsupervised 2D dimensionality reduction with adaptive structure learning (DRASL)...
March 23, 2017: Neural Computation
https://www.readbyqxmd.com/read/28333568/the-nature-of-competition-in-dietetics-education-a-narrative-review
#15
Jillian Ruhl, Daphne Lordly
The impact on student development associated with being part of a competitive program is an emerging finding in dietetics research. As such, a narrative review of relevant literature was conducted pertaining to competition in post-secondary programs and the educational experience of students with respect to developing a career in dietetics. The review was guided by 2 questions: How is competition experienced by students? What strategies can reduce competition among dietetics students within the educational experience? A refined literature screening process justified including 32 articles in the review...
March 23, 2017: Canadian Journal of Dietetic Practice and Research
https://www.readbyqxmd.com/read/28333526/learning-higher-order-generalizations-through-free-play-evidence-from-2-and-3-year-old-children
#16
Zi L Sim, Fei Xu
Constructivist views of cognitive development often converge on 2 key points: (a) the child's goal is to build large conceptual structures for understanding the world, and (b) the child plays an active role in developing these structures. While previous research has demonstrated that young children show a precocious capacity for concept and theory building when they are provided with helpful data within training settings, and that they explore their environment in ways that may promote learning, it remains an open question whether young children are able to build larger conceptual structures using self-generated evidence, a form of active learning...
April 2017: Developmental Psychology
https://www.readbyqxmd.com/read/28333518/the-relationship-between-trauma-and-research-a-response-to-burge-et-al-2017
#17
Catherine Cerulli
Comments on an article by Burge et al. (see record 2017-00531-001). The authors provide an important contribution to the field of intimate partner violence (IPV) research. In their article, Burge et al. contribute to IPV research by publishing a study that seeks to learn, from the voice of the participant (victim), what their experiences are in a study that required rigorous and frequent research-participant interactions. As a result, we see a new perspective emerge: might participation in research actually help victims? (PsycINFO Database Record...
March 2017: Families, Systems & Health: the Journal of Collaborative Family Healthcare
https://www.readbyqxmd.com/read/28333509/how-perception-guides-action-figure-ground-segmentation-modulates-integration-of-context-features-into-s-r-episodes
#18
Christian Frings, Klaus Rothermund
Perception and action are closely related. Responses are assumed to be represented in terms of their perceptual effects, allowing direct links between action and perception. In this regard, the integration of features of stimuli (S) and responses (R) into S-R bindings is a key mechanism for action control. Previous research focused on the integration of object features with response features while neglecting the context in which an object is perceived. In 3 experiments, we analyzed whether contextual features can also become integrated into S-R episodes...
March 23, 2017: Journal of Experimental Psychology. Learning, Memory, and Cognition
https://www.readbyqxmd.com/read/28333507/the-sequence-of-study-changes-what-information-is-attended-to-encoded-and-remembered-during-category-learning
#19
Paulo F Carvalho, Robert L Goldstone
The sequence of study influences how we learn. Previous research has identified different sequences as potentially beneficial for learning in different contexts and with different materials. Here we investigate the mechanisms involved in inductive category learning that give rise to these sequencing effects. Across 3 experiments we show evidence that the sequence of study changes what information learners attend to during learning, what is encoded from the materials studied and, consequently, what is remembered from study...
March 23, 2017: Journal of Experimental Psychology. Learning, Memory, and Cognition
https://www.readbyqxmd.com/read/28333495/variables-associated-with-achievement-in-higher-education-a-systematic-review-of-meta-analyses
#20
Michael Schneider, Franzis Preckel
The last 2 decades witnessed a surge in empirical studies on the variables associated with achievement in higher education. A number of meta-analyses synthesized these findings. In our systematic literature review, we included 38 meta-analyses investigating 105 correlates of achievement, based on 3,330 effect sizes from almost 2 million students. We provide a list of the 105 variables, ordered by the effect size, and summary statistics for central research topics. The results highlight the close relation between social interaction in courses and achievement...
March 23, 2017: Psychological Bulletin
keyword
keyword
51707
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"