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https://www.readbyqxmd.com/read/28077739/the-emergence-of-undergraduate-majors-in-global-health-systematic-review-of-programs-and-recommendations-for-future-directions
#1
Paul K Drain, Charles Mock, David Toole, Anne Rosenwald, Megan Jehn, Thomas Csordas, Laura Ferguson, Caryl Waggett, Chinekwu Obidoa, Judith N Wasserheit
Global health education has been expanding rapidly and several universities have created an undergraduate major degree (bachelor's degree) in global heath or global health studies. Because there are currently no national guidelines for undergraduate degrees in global health, each of these programs was developed along individual lines. To guide the development of future global health majors, we conducted a systematic review of undergraduate majors in global health. We identified eight programs and invited program directors or representatives to a symposium at the Consortium of Universities for Global Health 2016 conference to review their existing undergraduate major in global health and to discuss lessons learned and recommendations for other colleges and universities seeking to develop undergraduate degrees in global health...
January 11, 2017: American Journal of Tropical Medicine and Hygiene
https://www.readbyqxmd.com/read/28062244/identification-of-time-varying-neural-dynamics-from-spike-train-data-using-multiwavelet-basis-functions
#2
Song Xu, Yang Li, Qi Guo, Xiao-Feng Yang, Rosa H M Chan
BACKGROUND: Tracking the changes of neural dynamics based on neuronal spiking activities is a critical step to understand the neurobiological basis of learning from behaving animals. These dynamical neurobiological processes associated with learning are also time-varying, which makes the modeling problem challenging. NEW METHOD: We developed a novel multiwavelet-based time-varying generalized Laguerre-Volterra (TVGLV) modeling framework to study the time-varying neural dynamical systems using natural spike train data...
January 4, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28048528/we-h-206-01-photoacoustic-tomography-multiscale-imaging-from-organelles-to-patients-by-ultrasonically-beating-the-optical-diffusion-limit
#3
L Wang
: Lihong V. Wang: Photoacoustic tomography (PAT), combining non-ionizing optical and ultrasonic waves via the photoacoustic effect, provides in vivo multiscale functional, metabolic, and molecular imaging. Broad applications include imaging of the breast, brain, skin, esophagus, colon, vascular system, and lymphatic system in humans or animals. Light offers rich contrast but does not penetrate biological tissue in straight paths as x-rays do. Consequently, high-resolution pure optical imaging (e...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047869/we-h-206-02-recent-advances-in-multi-modality-molecular-imaging-of-small-animals
#4
B Tsui
: Lihong V. Wang: Photoacoustic tomography (PAT), combining non-ionizing optical and ultrasonic waves via the photoacoustic effect, provides in vivo multiscale functional, metabolic, and molecular imaging. Broad applications include imaging of the breast, brain, skin, esophagus, colon, vascular system, and lymphatic system in humans or animals. Light offers rich contrast but does not penetrate biological tissue in straight paths as x-rays do. Consequently, high-resolution pure optical imaging (e...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047205/we-h-206-03-promises-and-challenges-of-benchtop-x-ray-fluorescence-ct-xfct-for-quantitative-in-vivo-imaging
#5
S Cho
: Lihong V. Wang: Photoacoustic tomography (PAT), combining non-ionizing optical and ultrasonic waves via the photoacoustic effect, provides in vivo multiscale functional, metabolic, and molecular imaging. Broad applications include imaging of the breast, brain, skin, esophagus, colon, vascular system, and lymphatic system in humans or animals. Light offers rich contrast but does not penetrate biological tissue in straight paths as x-rays do. Consequently, high-resolution pure optical imaging (e...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047176/su-c-bra-05-delineating-high-dose-clinical-target-volumes-for-head-and-neck-tumors-using-machine-learning-algorithms
#6
C Cardenas, A Wong, A Mohamed, J Yang, L Court, A Rao, C Fuller, M Aristophanous
PURPOSE: To develop and test population-based machine learning algorithms for delineating high-dose clinical target volumes (CTVs) in H&N tumors. Automating and standardizing the contouring of CTVs can reduce both physician contouring time and inter-physician variability, which is one of the largest sources of uncertainty in H&N radiotherapy. METHODS: Twenty-five node-negative patients treated with definitive radiotherapy were selected (6 right base of tongue, 11 left and 9 right tonsil)...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28046461/we-h-206-00-advances-in-preclinical-imaging
#7
Patrick La Riviere
: Lihong V. Wang: Photoacoustic tomography (PAT), combining non-ionizing optical and ultrasonic waves via the photoacoustic effect, provides in vivo multiscale functional, metabolic, and molecular imaging. Broad applications include imaging of the breast, brain, skin, esophagus, colon, vascular system, and lymphatic system in humans or animals. Light offers rich contrast but does not penetrate biological tissue in straight paths as x-rays do. Consequently, high-resolution pure optical imaging (e...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28033699/understanding-doctoral-nursing-students-experiences-of-blended-learning-a-qualitative-study
#8
Abdolhossein Emami Sigaroudi, Shahrzad Ghiyasvandian, Alireza Nikbakht Nasabadi
The concept of blended learning in the field of nursing and medicine has been accepted. Blended learning has been extensively used thanks to the development of communication technologies and the availability of Internet services. Meanwhile, experiences-based research, by all accounts, can help the expansion of such a learning modality. Therefore, this study was designed to explain nursing doctoral students' experiences of blended learning. To attain this goal, a descriptive phenomenology method was used to illustrate experiences as they are experienced by the participants in the study...
November 2016: Acta Medica Iranica
https://www.readbyqxmd.com/read/28030375/self-injurious-behaviour-in-people-with-intellectual-disability-and-autism-spectrum-disorder
#9
Chris Oliver, Lucy Licence, Caroline Richards
PURPOSE OF REVIEW: This review summarises the recent trends in research in the field of self-injurious behaviour in people with intellectual disability and autism spectrum disorder. RECENT FINDINGS: New data on incidence, persistence and severity add to studies of prevalence to indicate the large scale of the clinical need. A number of person characteristics have been repeatedly identified in prevalence and cohort studies that: can be considered as risk markers (e...
December 26, 2016: Current Opinion in Psychiatry
https://www.readbyqxmd.com/read/28028479/impacts-of-land-use-management-on-ecosystem-services-and-biodiversity-an-agent-based-modelling-approach
#10
Thomas J Habib, Scott Heckbert, Jeffrey J Wilson, Andrew J K Vandenbroeck, Jerome Cranston, Daniel R Farr
The science of ecosystem service (ES) mapping has become increasingly sophisticated over the past 20 years, and examples of successfully integrating ES into management decisions at national and sub-national scales have begun to emerge. However, increasing model sophistication and accuracy-and therefore complexity-may trade-off with ease of use and applicability to real-world decision-making contexts, so it is vital to incorporate the lessons learned from implementation efforts into new model development. Using successful implementation efforts for guidance, we developed an integrated ES modelling system to quantify several ecosystem services: forest timber production and carbon storage, water purification, pollination, and biodiversity...
2016: PeerJ
https://www.readbyqxmd.com/read/28007795/the-future-of-health-care-reform-what-is-driving-enrollment
#11
Timothy H Callaghan, Lawrence R Jacobs
Against a backdrop of ongoing operational challenges, insurance market turbulence, and the ever present pull of partisanship, enrollment in the ACA's programs has soared and significant variations have developed across states in terms of their pace of coverage expansion. Our article explores why ACA enrollment has varied so dramatically across states. We explore the potential influence of party control, presidential cueing, administrative capacity, the reverberating effects of ACA policy decisions, affluence, and unemployment on enrollment...
December 22, 2016: Journal of Health Politics, Policy and Law
https://www.readbyqxmd.com/read/28003243/interleukin-2-improves-amyloid-pathology-synaptic-failure-and-memory-in-alzheimer-s-disease-mice
#12
Sandro Alves, Guillaume Churlaud, Mickael Audrain, Kristin Michaelsen-Preusse, Romain Fol, Benoit Souchet, Jérôme Braudeau, Martin Korte, David Klatzmann, Nathalie Cartier
Interleukin-2 (IL-2)-deficient mice have cytoarchitectural hippocampal modifications and impaired learning and memory ability reminiscent of Alzheimer's disease. IL-2 stimulates regulatory T cells whose role is to control inflammation. As neuroinflammation contributes to neurodegeneration, we investigated IL-2 in Alzheimer's disease. Therefore, we investigated IL-2 levels in hippocampal biopsies of patients with Alzheimer's disease relative to age-matched control individuals. We then treated APP/PS1ΔE9 mice having established Alzheimer's disease with IL-2 for 5 months using single administration of an AAV-IL-2 vector...
December 20, 2016: Brain: a Journal of Neurology
https://www.readbyqxmd.com/read/27999183/block-models-and-personalized-pagerank
#13
Isabel M Kloumann, Johan Ugander, Jon Kleinberg
Methods for ranking the importance of nodes in a network have a rich history in machine learning and across domains that analyze structured data. Recent work has evaluated these methods through the "seed set expansion problem": given a subset [Formula: see text] of nodes from a community of interest in an underlying graph, can we reliably identify the rest of the community? We start from the observation that the most widely used techniques for this problem, personalized PageRank and heat kernel methods, operate in the space of "landing probabilities" of a random walk rooted at the seed set, ranking nodes according to weighted sums of landing probabilities of different length walks...
January 3, 2017: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/27982778/state-of-the-art-pediatric-hypnosis-training-remodeling-curriculum-and-refining-faculty-development
#14
Daniel P Kohen, Pamela Kaiser, Karen Olness
Training in pediatric hypnosis has been part of clinical hypnosis education in the United States since 1976. Workshops expanded over time and are now taught by highly experienced pediatric clinicians across the globe. In 1987, a small vanguard of North American faculty, academic pediatricians, and pediatric psychologists taught a 3-day pediatric hypnosis workshop at the national meeting of the Society for Developmental and Behavioral Pediatrics (SDBP). This model of annual tri-level concurrent workshops (introductory, intermediate, and advanced) was sponsored by the SDBP for 24 years...
January 2017: American Journal of Clinical Hypnosis
https://www.readbyqxmd.com/read/27978479/orgs-and-mitotic-somal-translocation-a-role-in-development-and-disease
#15
REVIEW
Bridget Ostrem, Elizabeth Di Lullo, Arnold Kriegstein
The evolution of the human brain has been characterized by an increase in the size of the neocortex. Underlying this expansion is a significant increase in the number of neurons produced by neural stem cells during early stages of cortical development. Here we highlight recent advances in our understating of these cell populations, consisting of ventricular radial glia and outer radial glia. We highlight how gene expression studies have identified molecular signatures for radial glial cell populations and outline what has been learned about the mechanisms underlying the characteristic mode of division observed in outer radial glia cells, mitotic somal translocation...
December 12, 2016: Current Opinion in Neurobiology
https://www.readbyqxmd.com/read/27974975/novel-use-of-an-orbital-atherectomy-device-for-in-stent-restenosis-lessons-learned
#16
K Shaikh, S Kelly, M Gedela, V Kumar, A Stys, T Stys
We present a case of a 67-year-old man with stage III chronic kidney disease, uncontrolled diabetes mellitus, coronary artery disease, and high surgical risk who presented with two episodes of acute coronary syndrome attributed to in-stent restenosis (ISR) associated with heavily calcified lesions. In this case, we were able to improve luminal patency with orbital atherectomy system (OAS); however, withdrawal of the device resulted in a device/stent interaction, causing failure of the device. Given limitations in current evidence and therapies, managing ISR can be a technical and cognitive challenge...
2016: Case Reports in Cardiology
https://www.readbyqxmd.com/read/27967084/network-inference-in-the-nonequilibrium-steady-state
#17
Simon L Dettmer, H Chau Nguyen, Johannes Berg
Nonequilibrium systems lack an explicit characterization of their steady state like the Boltzmann distribution for equilibrium systems. This has drastic consequences for the inference of the parameters of a model when its dynamics lacks detailed balance. Such nonequilibrium systems occur naturally in applications like neural networks and gene regulatory networks. Here, we focus on the paradigmatic asymmetric Ising model and show that we can learn its parameters from independent samples of the nonequilibrium steady state...
November 2016: Physical Review. E
https://www.readbyqxmd.com/read/27957529/contrast-enhancement-without-transient-map-expansion-for-species-specific-vocalizations-in-core-auditory-cortex-during-learning
#18
Kathryn N Shepard, Kelly K Chong, Robert C Liu
Tonotopic map plasticity in the adult auditory cortex (AC) is a well established and oft-cited measure of auditory associative learning in classical conditioning paradigms. However, its necessity as an enduring memory trace has been debated, especially given a recent finding that the areal expansion of core AC tuned to a newly relevant frequency range may arise only transiently to support auditory learning. This has been reinforced by an ethological paradigm showing that map expansion is not observed for ultrasonic vocalizations (USVs) or for ultrasound frequencies in postweaning dams for whom USVs emitted by pups acquire behavioral relevance...
November 2016: ENeuro
https://www.readbyqxmd.com/read/27923322/international-medallists-and-non-medallists-developmental-sport-activities-a-matched-pairs-analysis
#19
Arne Güllich
The study examined developmental participation patterns of international top athletes. Pairs of 83 international medallists (including 38 Olympic/World Champions) and 83 non-medallists were matched by sport, age and gender. A questionnaire recorded their volume of organised (coach-led) practice/training in their respective main sport and in other sports through childhood, adolescence and adulthood, and also involvement in non-organised (peer-led) sport activity. Analyses revealed that the medallists started practice/training in their main sport at an older age than non-medallists and accumulated slightly, but significantly less main-sport practice/training through childhood/adolescence...
December 6, 2016: Journal of Sports Sciences
https://www.readbyqxmd.com/read/27917394/a-deep-ensemble-learning-method-for-monaural-speech-separation
#20
Xiao-Lei Zhang, DeLiang Wang
Monaural speech separation is a fundamental problem in robust speech processing. Recently, deep neural network (DNN)-based speech separation methods, which predict either clean speech or an ideal time-frequency mask, have demonstrated remarkable performance improvement. However, a single DNN with a given window length does not leverage contextual information sufficiently, and the differences between the two optimization objectives are not well understood. In this paper, we propose a deep ensemble method, named multicontext networks, to address monaural speech separation...
March 2016: IEEE/ACM Transactions on Audio, Speech, and Language Processing
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