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https://www.readbyqxmd.com/read/28226083/dengue-infection-in-the-nervous-system-lessons-learned-for-zika-and-chikungunya
#1
Marzia Puccioni-Sohler, Natalia Roveroni, Carolina Rosadas, Fernando Ferry, Jose Mauro Peralta, Amilcar Tanuri
Dengue, Zika and Chikungunya are emerging arboviruses and important causes of acute febrile disease in tropical areas. Although dengue does not represent a new condition, a geographic expansion over time has occurred with the appearance of severe neurological complications. Neglect has allowed the propagation of the vector (Aedes spp), which is also responsible for the transmission of other infections such as Zika and Chikungunya throughout the world. The increased number of infected individuals has contributed to the rise of neurological manifestations including encephalitis, myelitis, meningitis, Guillain-Barré syndrome and congenital malformations such as microcephaly...
February 2017: Arquivos de Neuro-psiquiatria
https://www.readbyqxmd.com/read/28197554/does-size-really-matter-the-role-of-tonotopic-map-area-dynamics-for-sound-learning-in-mouse-auditory-cortex
#2
Hans Sperup Brünner, Rune Rasmussen
This commentary centers on the novel findings by Shepard et al. (2016) published in eNeuro. The authors interrogated tonotopic map dynamics in auditory cortex (ACtx) by employing a natural sound-learning paradigm, where mothers learn the importance of pup ultrasonic vocalizations (USVs), allowing Shepard et al. to probe the role of map area expansion for auditory learning. They demonstrate that auditory learning in this paradigm does not rely on map expansion but is facilitated by increased inhibition of neurons tuned to low-frequency sounds...
January 2017: ENeuro
https://www.readbyqxmd.com/read/28183354/protocol-for-the-analysis-of-a-natural-experiment-on-the-impact-of-the-affordable-care-act-on-diabetes-care-in-community-health-centers
#3
Nathalie Huguet, Heather Angier, Miguel Marino, K John McConnell, Megan J Hoopes, Jean P O'Malley, Lewis A Raynor, Sonja Likumahuwa-Ackman, Heather Holderness, Jennifer E DeVoe
BACKGROUND: It is hypothesized that Affordable Care Act (ACA) Medicaid expansions could substantially improve access to health insurance and healthcare services for patients at risk for diabetes mellitus (DM), with pre-DM, or already diagnosed with DM. The ACA called for every state to expand Medicaid coverage by 2014. In a 2012 legal challenge, the US Supreme Court ruled that states were not required to implement Medicaid expansions. This 'natural experiment' presents a unique opportunity to learn whether and to what extent Medicaid expansion can affect healthcare access and services for patients with DM risk, pre-DM, or DM...
February 10, 2017: Implementation Science: IS
https://www.readbyqxmd.com/read/28180146/-i-think-we-ve-got-too-many-tests-prenatal-providers-reflections-on-ethical-and-clinical-challenges-in-the-practice-integration-of-cell-free-dna-screening
#4
B L Gammon, S A Kraft, M Michie, M Allyse
BACKGROUND: The recent introduction of cell-free DNA-based non-invasive prenatal screening (cfDNA screening) into clinical practice was expected to revolutionize prenatal testing. cfDNA screening for fetal aneuploidy has demonstrated higher test sensitivity and specificity for some conditions than conventional serum screening and can be conducted early in the pregnancy. However, it is not clear whether and how clinical practices are assimilating this new type of testing into their informed consent and counselling processes...
July 2016: Ethics, Medicine, and Public Health
https://www.readbyqxmd.com/read/28179544/long-term-tracking-of-budding-yeast-cells-in-brightfield-microscopy-cellstar-and-the-evaluation-platform
#5
Cristian Versari, Szymon Stoma, Kirill Batmanov, Artémis Llamosi, Filip Mroz, Adam Kaczmarek, Matt Deyell, Cédric Lhoussaine, Pascal Hersen, Gregory Batt
With the continuous expansion of single cell biology, the observation of the behaviour of individual cells over extended durations and with high accuracy has become a problem of central importance. Surprisingly, even for yeast cells that have relatively regular shapes, no solution has been proposed that reaches the high quality required for long-term experiments for segmentation and tracking (S&T) based on brightfield images. Here, we present CellStar, a tool chain designed to achieve good performance in long-term experiments...
February 2017: Journal of the Royal Society, Interface
https://www.readbyqxmd.com/read/28166514/expanding-training-data-for-facial-image-super-resolution
#6
Xiao Zeng, Hua Huang, Chun Qi
The quality of training data is very important for learning-based facial image super-resolution (SR). The more similarity between training data and testing input is, the better SR results we can have. To generate a better training set of low/high resolution training facial images for a particular testing input, this paper is the first work that proposes expanding the training data for improving facial image SR. To this end, observing that facial images are highly structured, we propose three constraints, i...
January 31, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28154169/cd44-and-hyaluronan-regulate-adult-hippocampal-neural-stem-cell-quiescence-and-differentiation
#7
Weiping Su, Scott C Foster, Rubing Xing, Kerstin Feistel, Reid H J Olsen, Summer F Acevedo, Jacob Raber, Larry S Sherman
Adult neurogenesis in the hippocampal subgranular zone (SGZ) is involved in learning and memory throughout life but declines with aging. Mice lacking the CD44 transmembrane receptor for the glycosaminoglycan hyaluronan (HA) demonstrate a number of neurological disturbances including hippocampal memory deficits, implicating CD44 in the processes underlying hippocampal memory encoding, storage or retrieval. Here, we find that HA and CD44 play important roles in regulating adult neurogenesis, and we provide evidence that HA contributes to age-related reductions in neural stem cell (NSC) expansion and differentiation in the hippocampus...
January 31, 2017: Journal of Biological Chemistry
https://www.readbyqxmd.com/read/28151816/mobile-technology-in-the-perioperative-arena-rapid-evolution-and-future-disruption
#8
Brian S Rothman, Rajnish K Gupta, Matthew D McEvoy
Throughout the history of medicine, physicians have relied upon disruptive innovations and technologies to improve the quality of care delivered, patient outcomes, and patient satisfaction. The implementation of mobile technology in health care is quickly becoming the next disruptive technology. We first review the history of mobile technology over the past 3 decades, discuss the impact of hardware and software, explore the rapid expansion of applications (apps), and evaluate the adoption of mobile technology in health care...
March 2017: Anesthesia and Analgesia
https://www.readbyqxmd.com/read/28130268/a-comparison-of-internal-dispositions-and-career-trajectories-after-collaborative-versus-apprenticed-research-experiences-for-undergraduates
#9
Kyle J Frantz, Melissa K Demetrikopoulos, Shari L Britner, Laura L Carruth, Brian A Williams, John L Pecore, Robert L DeHaan, Christopher T Goode
Undergraduate research experiences confer benefits on students bound for science, technology, engineering, and mathematics (STEM) careers, but the low number of research professionals available to serve as mentors often limits access to research. Within the context of our summer research program (BRAIN), we tested the hypothesis that a team-based collaborative learning model (CLM) produces student outcomes at least as positive as a traditional apprenticeship model (AM). Through stratified, random assignment to conditions, CLM students were designated to work together in a teaching laboratory to conduct research according to a defined curriculum led by several instructors, whereas AM students were paired with mentors in active research groups...
2017: CBE Life Sciences Education
https://www.readbyqxmd.com/read/28126547/single-surgeon-learning-curve-in-111-laparoscopic-distal-pancreatectomies-does-operative-time-tell-the-whole-story
#10
Thijs de Rooij, Federica Cipriani, Majd Rawashdeh, Susan van Dieren, Salvatore Barbaro, Mahmoud Abuawwad, Jony van Hilst, Martina Fontana, Marc G Besselink, Mohammed Abu Hilal
BACKGROUND: Laparoscopic distal pancreatectomy (LDP) is becoming the standard treatment for left-sided pancreatic disease. Learning curve identification is essential to ensure a safe and steady expansion. However, large (n>30) single-surgeon learning curve series are lacking. STUDY DESIGN: Data of all patients undergoing LDP between June 2007 and March 2016 by a single surgeon were prospectively collected. For learning curve analysis, the first 10, 20, 30, 40 and 50 LDPs were compared with LDPs performed thereafter...
January 23, 2017: Journal of the American College of Surgeons
https://www.readbyqxmd.com/read/28113564/spectrum-diverse-neuroevolution-with-unified-neural-models
#11
Danilo Vasconcellos Vargas, Junichi Murata
Learning algorithms are being increasingly adopted in various applications. However, further expansion will require methods that work more automatically. To enable this level of automation, a more powerful solution representation is needed. However, by increasing the representation complexity, a second problem arises. The search space becomes huge, and therefore, an associated scalable and efficient searching algorithm is also required. To solve both the problems, first a powerful representation is proposed that unifies most of the neural networks features from the literature into one representation...
April 27, 2016: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28113451/active-clustering-with-model-based-uncertainty-reduction
#12
Caiming Xiong, David M Johnson, Jason J Corso
Semi-supervised clustering seeks to augment traditional clustering methods by incorporating side information provided via human expertise in order to increase the semantic meaningfulness of the resulting clusters. However, most current methods are passive in the sense that the side information is provided beforehand and selected randomly. This may require a large number of constraints, some of which could be redundant, unnecessary, or even detrimental to the clustering results. Thus in order to scale such semi-supervised algorithms to larger problems it is desirable to pursue an active clustering method- i...
March 9, 2016: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28103558/effective-multi-query-expansions-collaborative-deep-networks-for-robust-landmark-retrieval
#13
Yang Wang, Xuemin Lin, Lin Wu, Wenjie Zhang
Given a query photo issued by a user (q-user), the landmark retrieval is to return a set of photos with their landmarks similar to those of the query, while the existing studies on the landmark retrieval focus on exploiting geometries of landmarks for similarity matches between candidate photos and a query photo. We observe that the same landmarks provided by different users over social media community may convey different geometry information depending on the viewpoints and/or angles, and may, subsequently, yield very different results...
March 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28077739/the-emergence-of-undergraduate-majors-in-global-health-systematic-review-of-programs-and-recommendations-for-future-directions
#14
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
#15
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
#16
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
#17
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
#18
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
#19
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
#20
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
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