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https://www.readbyqxmd.com/read/28537945/making-sense-of-effective-partnerships-among-senior-leaders-in-the-national-health-service
#1
Mahima Mitra, Timothy Hoff, Paul Brankin, Sue Dopson
BACKGROUND: Changing health care systems depend on strong organizational leadership that realizes the collaborative potential of both physician and nonphysician leaders. PURPOSE: The aim of this study was to seek insight into the everyday health care leader experience by examining 24 physician and nonphysician leaders working in the U.K. National Health Service. We explored (a) how they make sense of and act with respect to specific collaborative tensions in their interactions and (b) which aspects of their everyday leadership contexts heighten the probability for producing and resolving such tensions...
May 22, 2017: Health Care Management Review
https://www.readbyqxmd.com/read/28534789/boundary-eliminated-pseudoinverse-linear-discriminant-for-imbalanced-problems
#2
Yujin Zhu, Zhe Wang, Hongyuan Zha, Daqi Gao
Existing learning models for classification of imbalanced data sets can be grouped as either boundary-based or nonboundary-based depending on whether a decision hyperplane is used in the learning process. The focus of this paper is a new approach that leverages the advantage of both approaches. Specifically, our new model partitions the input space into three parts by creating two additional boundaries in the training process, and then makes the final decision based on a heuristic measurement between the test sample and a subset of selected training samples...
May 16, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28534772/discriminative-transformation-for-multi-dimensional-temporal-sequences
#3
Bing Su, Xiaoqing Ding, Changsong Liu, Hao Wang, Ying Wu
Feature space transformation (FST) techniques have been widely studied for dimensionality reduction in vector-based feature space. However, these techniques are inapplicable to sequence data because the features in the same sequence are not independent. In this paper, we propose a method called max-min inter-sequence distance analysis (MMSDA) to transform features in sequences into a low-dimensional subspace such that different sequence classes are holistically separated. To utilize the temporal dependencies, MMSDA first aligns features in sequences from the same class to an adapted number of temporal states and then constructs the sequence class separability based on the statistics of these ordered states...
May 16, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28534722/a-survey-of-established-veterinary-clinical-skills-laboratories-from-europe-and-north-america-present-practices-and-recent-developments
#4
Marc Dilly, Emma K Read, Sarah Baillie
Developing competence in clinical skills is important if graduates are to provide entry-level care but it is dependent on having had sufficient hands-on practice. Clinical skills laboratories provide opportunities for students to learn on simulators and models in a safe environment and to supplement training with animals. Interest in facilities for developing veterinary clinical skills has increased in recent years as many veterinary colleges face challenges in training their students with traditional methods alone...
May 23, 2017: Journal of Veterinary Medical Education
https://www.readbyqxmd.com/read/28531125/characterizing-dynamic-walking-patterns-and-detecting-falls-with-wearable-sensors-using-gaussian-process-methods
#5
Taehwan Kim, Jeongho Park, Seongman Heo, Keehoon Sung, Jooyoung Park
By incorporating a growing number of sensors and adopting machine learning technologies, wearable devices have recently become a prominent health care application domain. Among the related research topics in this field, one of the most important issues is detecting falls while walking. Since such falls may lead to serious injuries, automatically and promptly detecting them during daily use of smartphones and/or smart watches is a particular need. In this paper, we investigate the use of Gaussian process (GP) methods for characterizing dynamic walking patterns and detecting falls while walking with built-in wearable sensors in smartphones and/or smartwatches...
May 20, 2017: Sensors
https://www.readbyqxmd.com/read/28530495/workplace-responses-and-psychologists-needs-following-client-suicide
#6
Melissa Finlayson, Janette Simmonds
This research aimed to explore the role of workplace responses in psychologists' adaptation to client suicides. Participants were 178 psychologists who completed an online self-report questionnaire which included both open and closed questions yielding qualitative and quantitative data. Fifty-six (31.5%) participants reported one or more client suicides. Mixed results were found in terms of perceived support from the workplace following a client suicide. Psychologists reported a need for more open communication in the workplace, peer supports, space to grieve, as well as opportunities to engage in a learning process...
January 1, 2017: Omega
https://www.readbyqxmd.com/read/28529173/what-s-in-a-context-cautions-limitations-and-potential-paths-forward
#7
REVIEW
Shauna M Stark, Zachariah M Reagh, Michael A Yassa, Craig E L Stark
The purpose of memory is to guide current and future behavior based on previous experiences. Part of this process involves either discriminating between or generalizing across similar experiences that contain overlapping conditions (such as space, time, or internal state), which we often conceptualize as "contexts". In this review, we highlight major challenges facing the field as we attempt a neuroscience-based approach to the study of context and its impact on learning and memory. Here, we review some of the methodologies and approaches used to investigate context in both animals and humans, including the neurobiological mechanisms involved...
May 18, 2017: Neuroscience Letters
https://www.readbyqxmd.com/read/28529086/educating-student-midwives-around-dignity-and-respect
#8
Jenny S Hall, Mary Mitchell
FOCUS: There is currently limited information available on how midwifery students learn to provide care that promotes dignity and respect. BACKGROUND: In recent years the importance of dignity in healthcare and treating people with respect has received considerable emphasis in both a national and international context. AIM: The aim of this discussion paper is to describe an educational workshop that enables learning to promote dignity and respect in maternity care...
May 18, 2017: Women and Birth: Journal of the Australian College of Midwives
https://www.readbyqxmd.com/read/28522360/sex-with-no-regrets-how-sexual-reproduction-uses-a-no-regret-learning-algorithm-for-evolutionary-advantage
#9
Omer Edhan, Ziv Hellman, Dana Sherill-Rofe
The question of 'why sex' has long been a puzzle. The randomness of recombination, which potentially produces low fitness progeny, contradicts notions of fitness landscape hill climbing. We use the concept of evolution as an algorithm for learning unpredictable environments to provide a possible answer. While sex and asex both implement similar machine learning no-regret algorithms in the context of random samples that are small relative to a vast genotype space, the algorithm of sex constitutes a more efficient goal-directed walk through this space...
May 15, 2017: Journal of Theoretical Biology
https://www.readbyqxmd.com/read/28516901/eeg-source-space-analysis-of-the-supervised-factor-analytic-approach-for-the-classification-of-multi-directional-arm-movement
#10
Vikram Shenoy Handiru, A P Vinod, Cuntai Guan
OBJECTIVE: In electroencephalography (EEG)-based brain-computer interface (BCI) systems for motor control tasks the conventional practice is to decode motor intentions by using scalp EEG. However, scalp EEG only reveals certain limited information about the complex tasks of movement with a higher degree of freedom. Therefore, our objective is to investigate the effectiveness of source-space EEG in extracting relevant features that discriminate arm movement in multiple directions. APPROACH: We have proposed a novel feature extraction algorithm based on supervised factor analysis that models the data from source-space EEG...
May 18, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28512259/long-non-coding-rna-h19-induces-hippocampal-neuronal-apoptosis-via-wnt-signaling-in-a-streptozotocin-induced-rat-model-of-diabetes-mellitus
#11
Yu-Hao Zhao, Tie-Feng Ji, Qi Luo, Jin-Lu Yu
Defects in hippocampal synaptic plasticity and disorders of memory and learning are the central nervous system complications of diabetes mellitus (DM). Here, we used a streptozotocin-induced rat DM model to investigate the effects of long non-coding RNA H19 (lncRNA H19) on learning and memory and apoptosis of hippocampal neurons, and the involvement of the Wnt signaling. Our data demonstrate that lncRNA H19 is highly expressed in rats with DM. Over-expression of lncRNA H19 increased positioning navigation latency in DM rats and decreased duration of space exploration...
April 27, 2017: Oncotarget
https://www.readbyqxmd.com/read/28508076/machine-learning-of-accurate-energy-conserving-molecular-force-fields
#12
Stefan Chmiela, Alexandre Tkatchenko, Huziel E Sauceda, Igor Poltavsky, Kristof T Schütt, Klaus-Robert Müller
Using conservation of energy-a fundamental property of closed classical and quantum mechanical systems-we develop an efficient gradient-domain machine learning (GDML) approach to construct accurate molecular force fields using a restricted number of samples from ab initio molecular dynamics (AIMD) trajectories. The GDML implementation is able to reproduce global potential energy surfaces of intermediate-sized molecules with an accuracy of 0.3 kcal mol(-1) for energies and 1 kcal mol(-1) Å̊(-1) for atomic forces using only 1000 conformational geometries for training...
May 2017: Science Advances
https://www.readbyqxmd.com/read/28507695/ani-1-an-extensible-neural-network-potential-with-dft-accuracy-at-force-field-computational-cost
#13
J S Smith, O Isayev, A E Roitberg
Deep learning is revolutionizing many areas of science and technology, especially image, text, and speech recognition. In this paper, we demonstrate how a deep neural network (NN) trained on quantum mechanical (QM) DFT calculations can learn an accurate and transferable potential for organic molecules. We introduce ANAKIN-ME (Accurate NeurAl networK engINe for Molecular Energies) or ANI for short. ANI is a new method designed with the intent of developing transferable neural network potentials that utilize a highly-modified version of the Behler and Parrinello symmetry functions to build single-atom atomic environment vectors (AEV) as a molecular representation...
April 1, 2017: Chemical Science
https://www.readbyqxmd.com/read/28507513/appetitive-olfactory-learning-and-long-term-associative-memory-in-caenorhabditis-elegans
#14
Saori Nishijima, Ichiro N Maruyama
Because of the relative simplicity of its nervous system, Caenorhabditis elegans is a useful model organism to study learning and memory at cellular and molecular levels. For appetitive conditioning in C. elegans, food has exclusively been used as an unconditioned stimulus (US). It may be difficult to analyze neuronal circuits for associative memory since food is a multimodal combination of olfactory, gustatory, and mechanical stimuli. Here, we report classical appetitive conditioning and associative memory in C...
2017: Frontiers in Behavioral Neuroscience
https://www.readbyqxmd.com/read/28507134/dopaminergic-modulation-of-basal-ganglia-output-through-coupled-excitation-inhibition
#15
Agata Budzillo, Alison Duffy, Kimberly E Miller, Adrienne L Fairhall, David J Perkel
Learning and maintenance of skilled movements require exploration of motor space and selection of appropriate actions. Vocal learning and social context-dependent plasticity in songbirds depend on a basal ganglia circuit, which actively generates vocal variability. Dopamine in the basal ganglia reduces trial-to-trial neural variability when the bird engages in courtship song. Here, we present evidence for a unique, tonically active, excitatory interneuron in the songbird basal ganglia that makes strong synaptic connections onto output pallidal neurons, often linked in time with inhibitory events...
May 15, 2017: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/28506641/guiding-multimodal-registration-with-learned-optimization-updates
#16
Benjamin Gutierrez-Becker, Diana Mateus, Loic Peter, Nassir Navab
In this paper, we address the multimodal registration problem from a novel perspective, aiming to predict the transformation aligning images directly from their visual appearance. We formulate the prediction as a supervised regression task, with joint image descriptors as input and the output are the parameters of the transformation that guide the moving image towards alignment. We model the joint local appearance with context aware descriptors that capture both local and global cues simultaneously in the two modalities, while the regression function is based on the gradient boosted trees method capable of handling the very large contextual feature space...
May 6, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28506618/the-ptz-kindling-mouse-model-of-epilepsy-exhibits-exploratory-drive-deficits-and-aberrant-vta-dopamine-neuron-activity-in-both-familiar-and-novel-space
#17
Mahboubeh Ahmadi, Jean-Philippe Dufour, Erich Seifritz, Javad Mirnajafi-Zadeh, Bechara J Saab
Recurrent seizures that define epilepsy are often accompanied by psychosocial problems and cognitive deficits with incompletely understood aetiology. We therefore used the pentylenetetrazol (PTZ) kindling model of epilepsy in mice to examine potential seizure-associated neuropathologies, focusing on motivation, memory and novel-environment-induced activation of midbrain dopaminergic neurons. In addition to recurrent seizures, we found that PTZ kindling led to a strong suppression of novelty-driven exploration while largely sparing fear-driven exploration...
May 12, 2017: Behavioural Brain Research
https://www.readbyqxmd.com/read/28505848/emergent-community-agglomeration-from-data-set-geometry
#18
Chenchao Zhao, Jun S Song
In the statistical learning language, samples are snapshots of random vectors drawn from some unknown distribution. Such vectors usually reside in a high-dimensional Euclidean space, and thus the "curse of dimensionality" often undermines the power of learning methods, including community detection and clustering algorithms, that rely on Euclidean geometry. This paper presents the idea of effective dissimilarity transformation (EDT) on empirical dissimilarity hyperspheres and studies its effects using synthetic and gene expression data sets...
April 2017: Physical Review. E
https://www.readbyqxmd.com/read/28505824/classification-framework-for-partially-observed-dynamical-systems
#19
Yuan Shen, Peter Tino, Krasimira Tsaneva-Atanasova
We present a general framework for classifying partially observed dynamical systems based on the idea of learning in the model space. In contrast to the existing approaches using point estimates of model parameters to represent individual data items, we employ posterior distributions over model parameters, thus taking into account in a principled manner the uncertainty due to both the generative (observational and/or dynamic noise) and observation (sampling in time) processes. We evaluate the framework on two test beds: a biological pathway model and a stochastic double-well system...
April 2017: Physical Review. E
https://www.readbyqxmd.com/read/28505523/trainers-perception-of-the-learning-environment-and-student-competency-a-qualitative-investigation-of-midwifery-and-anesthesia-training-programs-in-ethiopia
#20
Sharon Kibwana, Rachel Haws, Adrienne Kols, Firew Ayalew, Young-Mi Kim, Jos van Roosmalen, Jelle Stekelenburg
BACKGROUND: Ethiopia has successfully expanded training for midwives and anesthetists in public institutions. This study explored the perceptions of trainers (instructors, clinical lab assistants and preceptors) towards the adequacy of students' learning experience and implications for achieving mastery of core competencies. METHODS: In-depth interviews with 96 trainers at 9 public universities and 17 regional health science colleges across Ethiopia were conducted to elicit their opinions about available resources, program curriculum suitability, and competence of graduating students...
May 1, 2017: Nurse Education Today
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