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https://www.readbyqxmd.com/read/28539006/dell-39-s-different-direction
#1
Sean Price
The unique curriculum at The University of Texas at Austin Dell Medical School practically does away with traditional lectures and focuses instead on solving problems and working together with other health care professionals.
May 1, 2017: Texas Medicine
https://www.readbyqxmd.com/read/28535317/fm-map-a-novel-in-training-examination-predicts-success-on-family-medicine-certification-examination
#2
Karl Iglar, Fok-Han Leung, Rahim Moineddin, Jodi Herold
BACKGROUND AND OBJECTIVES: The objective of our study was to assess the correlation between a locally developed In-Training Examination (ITE) and the certification examination in family medicine in Canada. METHODS: The ITE was taken twice yearly, which corresponded for most residents to the fifth, ninth, 17th, and 21st month of training. The results for the ITE were correlated to the CFPC certification examination taken in the 23rd month of residency. RESULTS: The scores on each of the four iterations of the ITE correlated moderately well with performance relating to problem solving skills and knowledge on the certification examination...
May 2017: Family Medicine
https://www.readbyqxmd.com/read/28534788/rankmap-a-framework-for-distributed-learning-from-dense-data-sets
#3
Azalia Mirhoseini, Eva L Dyer, Ebrahim M Songhori, Richard Baraniuk, Farinaz Koushanfar
This paper introduces RankMap, a platform-aware end-to-end framework for efficient execution of a broad class of iterative learning algorithms for massive and dense data sets. Our framework exploits data structure to scalably factorize it into an ensemble of lower rank subspaces. The factorization creates sparse low-dimensional representations of the data, a property which is leveraged to devise effective mapping and scheduling of iterative learning algorithms on the distributed computing machines. We provide two APIs, one matrix-based and one graph-based, which facilitate automated adoption of the framework for performing several contemporary learning applications...
May 17, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28534784/incorporation-of-solvent-effect-into-multi-objective-evolutionary-algorithm-for-improved-protein-structure-prediction
#4
Shangce Gao, Jiujun Cheng, Yuki Todo, Mengchu Zhou
The problem of predicting the three-dimensional structure of a protein from its one-dimensional sequence has been called the "holy grail of molecular biology", and it has become an important part of structural genomics projects. Despite the rapid developments in computer technology and computational intelligence, it remains challenging and fascinating. In this paper, to solve it we propose a multi-objective evolutionary algorithm. We decompose the protein energy function Chemistry at HARvard Macromolecular Mechanics force fields into bond and non-bond energies as the first and second objectives...
May 17, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28534781/reviving-the-two-state-markov-chain-approach
#5
Andrzej Mizera, Jun Pang, Qixia Yuan
Probabilistic Boolean networks (PBNs) is a well-established computational framework for modelling biological systems. The steady-state dynamics of PBNs is of crucial importance in the study of such systems. However, for large PBNs, which often arise in systems biology, obtaining the steady-state distribution poses a significant challenge. In this paper, we revive the two-state Markov chain approach to solve this problem. This paper contributes in three aspects. First, we identify a problem of generating biased results with the approach and we propose a few heuristics to avoid such a pitfall...
May 16, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28534773/sparsity-based-color-image-super-resolution-via-exploiting-cross-channel-constraints
#6
Hojjat Mousavi, Vishal Monga
Sparsity constrained single image super-resolution (SR) has been of much recent interest. A typical approach involves sparsely representing patches in a low-resolution (LR) input image via a dictionary of example LR patches, and then using the coefficients of this representation to generate the highresolution (HR) output via an analogous HR dictionary. However, most existing sparse representation methods for super resolution focus on the luminance channel information and do not capture interactions between color channels...
May 16, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28534771/dynamic-graph-cuts-in-parallel
#7
Miao Yu, Shuhan Shen, Zhanyi Hu
This work aims at bridging the two important trends in efficient graph cuts in the literature, the one is to decompose a graph into several smaller subgraphs to take the advantage of parallel computation, the other is to reuse the solution of the max-flow problem on a residual graph to boost the efficiency on another similar graph. Our proposed parallel dynamic graph cuts algorithm takes the advantages of both, and is extremely efficient for certain dynamically changing MRF models in computer vision. The performance of our proposed algorithm is validated on two typical dynamic graph cuts problems: the foregroundbackground segmentation in video where similar graph cuts problems need to be solved in sequential and GrabCut where graph cuts is used iteratively...
May 16, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28534707/type-ia-topoisomerases-can-be-magicians-for-both-dna-and-rna-in-all-domains-of-life
#8
Muzammil Ahmad, Dongyi Xu, Weidong Wang
Topoisomerases solve critical topological problems in DNA metabolism and have long been regarded as the "magicians" of the DNA world. Here we present views from two of our recent studies indicating that Type IA topoisomerases from all domains of life often possess dual topoisomerase activities for both DNA and RNA. In animals, one of the two Type IA topoisomerases, Top3β, contains an RNA-binding domain, possesses RNA topoisomerase activity, binds mRNAs, interacts with mRNA-binding proteins, and associates with active mRNA translation machinery...
May 23, 2017: RNA Biology
https://www.readbyqxmd.com/read/28534409/dimensionality-and-interface-engineering-of-2d-homologous-perovskites-for-boosted-charge-carrier-transport-and-photodetection-performances
#9
Dejian Yu, Fei Cao, Yalong Shen, Xuhai Liu, Ying Zhu, Haibo Zeng
Two dimensional (2D) homologous halide perovskites (HPs) microcrystallines have emerged as promising alternative light-sensitive materials, however, the undesirable quantum confinement effect and severe interfacial charge carrier scattering still hamper their applications in photodetectors (PDs). Here we propose a novel post-synthetic treatment to simultaneously solve both problems. 2D (OA)2FAn-1PbnBr3n+1 (OA and FA represent octadecylamine and formamidine) microplatelets film was immersed into solution containing FA+, leading to improvements in two aspects...
May 23, 2017: Journal of Physical Chemistry Letters
https://www.readbyqxmd.com/read/28533565/ocean-research-priorities-similarities-and-differences-among-scientists-policymakers-and-fishermen-in-the-united-states
#10
Julia G Mason, Murray A Rudd, Larry B Crowder
Understanding and solving complex ocean conservation problems requires cooperation not just among scientific disciplines but also across sectors. A recently published survey that probed research priorities of marine scientists, when provided to ocean stakeholders, revealed some agreement on priorities but also illuminated key differences. Ocean acidification, cumulative impacts, bycatch effects, and restoration effectiveness were in the top 10 priorities for scientists and stakeholder groups. Significant priority differences were that scientists favored research questions about ocean acidification and marine protected areas; policymakers prioritized questions about habitat restoration, bycatch, and precaution; and fisheries sector resource users called for the inclusion of local ecological knowledge in policymaking...
May 1, 2017: Bioscience
https://www.readbyqxmd.com/read/28533112/where-arithmetic-and-phonology-meet-the-meta-analytic-convergence-of-arithmetic-and-phonological-processing-in-the-brain
#11
Courtney Pollack, Nicole C Ashby
Arithmetic facts can be solved using different strategies. Research suggests that some arithmetic problems, particularly those solved by fact retrieval, are related to phonological processing ability and elicit activity in left-lateralized brain regions that support phonological processing. However, it is unclear whether common brain regions support both retrieval-based arithmetic and phonological processing, and if these regions differ across children and adults. This study used activation likelihood estimation to investigate functional neural overlap between arithmetic and phonological processing, separately for children and adults...
May 10, 2017: Developmental Cognitive Neuroscience
https://www.readbyqxmd.com/read/28533089/synergistic-anti-tumor-effects-of-bevacizumab-and-tumor-targeted-polymerized-vegf-sirna-nanoparticles
#12
Myung Goo Kim, Sung Duk Jo, Ji Young Yhee, Beom Suk Lee, So Jin Lee, Sung Gurl Park, Sun-Woong Kang, Sun Hwa Kim, Ji Hoon Jeong
A variety of VEGF inhibitors have been reported to treat cancers by suppressing tumor angiogenesis. Bevacizumab, a monoclonal VEGF antibody, was the first FDA approved anti-angiogenic agent for cancer treatments. However, bevacizumab shows modest therapeutic efficiency and often cause resistant problem in significant populations of cancer patients. To solve these problem, we investigated the therapeutic efficacy of siRNA drugs targeting VEGF and combination of the RNAi drug with bevacizumab for cancer treatments...
May 19, 2017: Biochemical and Biophysical Research Communications
https://www.readbyqxmd.com/read/28532350/corollary-discharge-and-oculomotor-proprioception-cortical-mechanisms-for-spatially-accurate-vision
#13
Linus D Sun, Michael E Goldberg
A classic problem in psychology is understanding how the brain creates a stable and accurate representation of space for perception and action despite a constantly moving eye. Two mechanisms have been proposed to solve this problem: Herman von Helmholtz's idea that the brain uses a corollary discharge of the motor command that moves the eye to adjust the visual representation, and Sir Charles Sherrington's idea that the brain measures eye position to calculate a spatial representation. Here, we discuss the cognitive, neuropsychological, and physiological mechanisms that support each of these ideas...
October 14, 2016: Annual Review of Vision Science
https://www.readbyqxmd.com/read/28531874/sparse-subspace-clustering-for-data-with-missing-entries-and-high-rank-matrix-completion
#14
Jicong Fan, Tommy W S Chow
Many methods have recently been proposed for subspace clustering, but they are often unable to handle incomplete data because of missing entries. Using matrix completion methods to recover missing entries is a common way to solve the problem. Conventional matrix completion methods require that the matrix should be of low-rank intrinsically, but most matrices are of high-rank or even full-rank in practice, especially when the number of subspaces is large. In this paper, a new method called Sparse Representation with Missing Entries and Matrix Completion is proposed to solve the problems of incomplete-data subspace clustering and high-rank matrix completion...
April 25, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28531759/interferon-regulatory-factors-a-key-to-tumour-immunity
#15
REVIEW
Yan-Jie Chen, Jing Li, Nan Lu, Xi-Zhong Shen
Interferon regulatory factors (IRFs), which have 10 members, belong to the transcription factor family and were named because of the regulation of interferon expression. They play important roles in the immune regulation, cell differentiation, cell apoptosis, and cell cycle regulation. This article will review the functional characteristics and immune activity of the family members, especially in the role of cell differentiation and autoimmune diseases. Intensive studies will help uncover the pathogenesis of the disease in a more comprehensive view, and provide novel targets for disease treatment...
May 19, 2017: International Immunopharmacology
https://www.readbyqxmd.com/read/28531141/eyes-of-things
#16
Oscar Deniz, Noelia Vallez, Jose L Espinosa-Aranda, Jose M Rico-Saavedra, Javier Parra-Patino, Gloria Bueno, David Moloney, Alireza Dehghani, Aubrey Dunne, Alain Pagani, Stephan Krauss, Ruben Reiser, Martin Waeny, Matteo Sorci, Tim Llewellynn, Christian Fedorczak, Thierry Larmoire, Marco Herbst, Andre Seirafi, Kasra Seirafi
Embedded systems control and monitor a great deal of our reality. While some "classic" features are intrinsically necessary, such as low power consumption, rugged operating ranges, fast response and low cost, these systems have evolved in the last few years to emphasize connectivity functions, thus contributing to the Internet of Things paradigm. A myriad of sensing/computing devices are being attached to everyday objects, each able to send and receive data and to act as a unique node in the Internet. Apart from the obvious necessity to process at least some data at the edge (to increase security and reduce power consumption and latency), a major breakthrough will arguably come when such devices are endowed with some level of autonomous "intelligence"...
May 21, 2017: Sensors
https://www.readbyqxmd.com/read/28530619/-current-status-of-laparoscopic-sacrocolpopexy-in-the-treatment-of-pelvic-organ-prolapse
#17
Carmen González-Enguita, Natalia Gennaro-DellaRossa, Esther López-López, Juliana Escobar-Castaño, Percy Miguel Rodríguez-Castro, Raquel González-López
OBJECTIVES: Surgical restoration of pelvic floor anatomy in pelvic organ prolapse (POP) should avoid extensive areas that may injure healthy tissues and lead to scar fibrosis producing dysfunctional rigidity. Laparoscopic sacrocolpopexy corrects POP by lifting pelvic elements with a minimally invasive procedure.Various current strategies and approaches make it a diverse procedure. METHODS: We performed a bibliographic review on the published experience about abdominal sacrocolpopexy over the last 20 years...
May 2017: Archivos Españoles de Urología
https://www.readbyqxmd.com/read/28530533/respiratory-motion-management-in-pet-ct-applications-and-clinical-usefulness
#18
Luca Guerra, Elena De Ponti, Sabrina Morzenti, Chiara Spadavecchia, Cinzia Crivellaro
Although breathing movement can introduce heavy bias in both image quality and quantitation, currently there is lack of interest for the respiratory motion management in PET/CT imaging. The respiratory gating technology has shown significant benefits on image quality, reducing motion related artifacts and increasing quantification. Indeed, many papers have demonstrated that there is a consistent increase of the Standardized Uptake Value (SUV) in gated PET images when compared to ungated ones, particularly for the small lesions located both in liver and in lung...
May 19, 2017: Current Radiopharmaceuticals
https://www.readbyqxmd.com/read/28530208/eit-imaging-of-admittivities-with-a-d-bar-method-and-spatial-prior-experimental-results-for-absolute-and-difference-imaging
#19
S J Hamilton
Electrical impedance tomography (EIT) is an emerging imaging modality that uses harmless electrical measurements taken on electrodes at a body's surface to recover information about the internal electrical conductivity and or permittivity. The image reconstruction task of EIT is a highly nonlinear inverse problem that is sensitive to noise and modeling errors making the image reconstruction task challenging. D-bar methods solve the nonlinear problem directly, bypassing the need for detailed and time-intensive forward models, to provide absolute (static) as well as time-difference EIT images...
May 22, 2017: Physiological Measurement
https://www.readbyqxmd.com/read/28529911/severe-trauma-in-the-geriatric-population
#20
REVIEW
Juan Antonio Llompart-Pou, Jon Pérez-Bárcena, Mario Chico-Fernández, Marcelino Sánchez-Casado, Joan Maria Raurich
Geriatric trauma constitutes an increasingly recognized problem. Aging results in a progressive decline in cellular function which leads to a loose of their capacity to respond to injury. Some medications commonly used in this population can mask or blunt the response to injury. Falls constitute the most common cause of trauma and the leading cause of trauma-related deaths in this population. Falls are complicated by the widespread use of antiplatelets and anticoagulants, especially in patients with brain injury...
May 4, 2017: World Journal of Critical Care Medicine
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