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https://www.readbyqxmd.com/read/28047585/su-d-206-06-task-specific-optimization-of-scintillator-thickness-for-cmos-detector-based-cone-beam-breast-ct
#1
S Vedantham, S Shrestha, L Shi, G Vijayaraghavan, A Karellas
PURPOSE: To optimize the cesium iodide (CsI:Tl) scintillator thickness in a complimentary metal-oxide semiconductor (CMOS)-based detector for use in dedicated cone-beam breast CT. METHODS: The imaging task considered was the detection of a microcalcification cluster comprising six 220µm diameter calcium carbonate spheres, arranged in the form of a regular pentagon with 2 mm spacing on its sides and a central calcification, similar to that in ACR-recommended mammography accreditation phantom, at a mean glandular dose of 4...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28045897/correction-large-scale-off-target-identification-using-fast-and-accurate-dual-regularized-one-class-collaborative-filtering-and-its-application-to-drug-repurposing
#2
(no author information available yet)
[This corrects the article DOI: 10.1371/journal.pcbi.1005135.].
January 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28029176/robot-assisted-surgery-in-gynecological-oncology-current-status-and-controversies-on-patient-benefits-cost-and-surgeon-conditions-a-systematic-review
#3
Steffen E Kristensen, Berit J Mosgaard, Mikkel Rosendahl, Tórur Dalsgaard, Signe F Bjørn, Ligita P Frøding, Henrik Kehlet, Claus K Høgdall, Henrik Lajer
INTRODUCTION: Robot-assisted surgery has become more widespread in gynecologic oncology. The purpose of this systematic review is to present current knowledge on robot-assisted surgery, and to clarify and discuss controversies that have arisen alongside the development and deployment. MATERIAL AND METHODS: A database search in PubMed and EMBASE was performed up until March 4th 2016. The search strategy was developed in collaboration with an information specialist, and by application of the PRISMA guidelines...
December 28, 2016: Acta Obstetricia et Gynecologica Scandinavica
https://www.readbyqxmd.com/read/28018026/harnessing-learning-biases-is-essential-for-applying-social-learning-in-conservation
#4
REVIEW
Alison L Greggor, Alex Thornton, Nicola S Clayton
Social learning can influence how animals respond to anthropogenic changes in the environment, determining whether animals survive novel threats and exploit novel resources or produce maladaptive behaviour and contribute to human-wildlife conflict. Predicting where social learning will occur and manipulating its use are, therefore, important in conservation, but doing so is not straightforward. Learning is an inherently biased process that has been shaped by natural selection to prioritize important information and facilitate its efficient uptake...
2017: Behavioral Ecology and Sociobiology
https://www.readbyqxmd.com/read/27987162/ensembl-plants-integrating-tools-for-visualizing-mining-and-analyzing-plant-genomic-data
#5
Dan M Bolser, Daniel M Staines, Emily Perry, Paul J Kersey
Ensembl Plants ( http://plants.ensembl.org ) is an integrative resource presenting genome-scale information for 39 sequenced plant species. Available data includes genome sequence, gene models, functional annotation, and polymorphic loci; for the latter, additional information including population structure, individual genotypes, linkage, and phenotype data is available for some species. Comparative data is also available, including genomic alignments and "gene trees," which show the inferred evolutionary history of each gene family represented in the resource...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27958331/improved-genome-scale-multi-target-virtual-screening-via-a-novel-collaborative-filtering-approach-to-cold-start-problem
#6
Hansaim Lim, Paul Gray, Lei Xie, Aleksandar Poleksic
Conventional one-drug-one-gene approach has been of limited success in modern drug discovery. Polypharmacology, which focuses on searching for multi-targeted drugs to perturb disease-causing networks instead of designing selective ligands to target individual proteins, has emerged as a new drug discovery paradigm. Although many methods for single-target virtual screening have been developed to improve the efficiency of drug discovery, few of these algorithms are designed for polypharmacology. Here, we present a novel theoretical framework and a corresponding algorithm for genome-scale multi-target virtual screening based on the one-class collaborative filtering technique...
December 13, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27931207/a-comparative-study-classification-vs-user-based-collaborative-filtering-for-clinical-prediction
#7
Fang Hao, Rachael Hageman Blair
BACKGROUND: Recommender systems have shown tremendous value for the prediction of personalized item recommendations for individuals in a variety of settings (e.g., marketing, e-commerce, etc.). User-based collaborative filtering is a popular recommender system, which leverages an individuals' prior satisfaction with items, as well as the satisfaction of individuals that are "similar". Recently, there have been applications of collaborative filtering based recommender systems for clinical risk prediction...
December 8, 2016: BMC Medical Research Methodology
https://www.readbyqxmd.com/read/27919275/rayyan-a-web-and-mobile-app-for-systematic-reviews
#8
Mourad Ouzzani, Hossam Hammady, Zbys Fedorowicz, Ahmed Elmagarmid
BACKGROUND: Synthesis of multiple randomized controlled trials (RCTs) in a systematic review can summarize the effects of individual outcomes and provide numerical answers about the effectiveness of interventions. Filtering of searches is time consuming, and no single method fulfills the principal requirements of speed with accuracy. Automation of systematic reviews is driven by a necessity to expedite the availability of current best evidence for policy and clinical decision-making. We developed Rayyan ( http://rayyan...
December 5, 2016: Systematic Reviews
https://www.readbyqxmd.com/read/27911773/accurate-and-scalable-social-recommendation-using-mixed-membership-stochastic-block-models
#9
Antonia Godoy-Lorite, Roger Guimerà, Cristopher Moore, Marta Sales-Pardo
With increasing amounts of information available, modeling and predicting user preferences-for books or articles, for example-are becoming more important. We present a collaborative filtering model, with an associated scalable algorithm, that makes accurate predictions of users' ratings. Like previous approaches, we assume that there are groups of users and of items and that the rating a user gives an item is determined by their respective group memberships. However, we allow each user and each item to belong simultaneously to mixtures of different groups and, unlike many popular approaches such as matrix factorization, we do not assume that users in each group prefer a single group of items...
December 13, 2016: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/27899677/the-mouse-gene-expression-database-gxd-2017-update
#10
Jacqueline H Finger, Constance M Smith, Terry F Hayamizu, Ingeborg J McCright, Jingxia Xu, Meiyee Law, David R Shaw, Richard M Baldarelli, Jon S Beal, Olin Blodgett, Jeff W Campbell, Lori E Corbani, Jill R Lewis, Kim L Forthofer, Pete J Frost, Sharon C Giannatto, Lucie N Hutchins, Dave B Miers, Howie Motenko, Kevin R Stone, Janan T Eppig, James A Kadin, Joel E Richardson, Martin Ringwald
The Gene Expression Database (GXD; www.informatics.jax.org/expression.shtml) is an extensive and well-curated community resource of mouse developmental expression information. Through curation of the scientific literature and by collaborations with large-scale expression projects, GXD collects and integrates data from RNA in situ hybridization, immunohistochemistry, RT-PCR, northern blot and western blot experiments. Expression data from both wild-type and mutant mice are included. The expression data are combined with genetic and phenotypic data in Mouse Genome Informatics (MGI) and made readily accessible to many types of database searches...
January 4, 2017: Nucleic Acids Research
https://www.readbyqxmd.com/read/27898691/a-personalized-electronic-movie-recommendation-system-based-on-support-vector-machine-and-improved-particle-swarm-optimization
#11
Xibin Wang, Fengji Luo, Ying Qian, Gianluca Ranzi
With the rapid development of ICT and Web technologies, a large an amount of information is becoming available and this is producing, in some instances, a condition of information overload. Under these conditions, it is difficult for a person to locate and access useful information for making decisions. To address this problem, there are information filtering systems, such as the personalized recommendation system (PRS) considered in this paper, that assist a person in identifying possible products or services of interest based on his/her preferences...
2016: PloS One
https://www.readbyqxmd.com/read/27870023/hierarchical-filters-determine-community-assembly-of-urban-species-pools
#12
Myla F J Aronson, Charles H Nilon, Christopher A Lepczyk, Tommy S Parker, Paige S Warren, Sarel S Cilliers, Mark A Goddard, Amy K Hahs, Cecilia Herzog, Madhusudan Katti, Frank A La Sorte, Nicholas S G Williams, Wayne Zipperer
The majority of humanity now lives in cities or towns, with this proportion expected to continue increasing for the foreseeable future. As novel ecosystems, urban areas offer an ideal opportunity to examine multi-scalar processes involved in community assembly as well as the role of human activities in modulating environmental drivers of biodiversity. Although ecologists have made great strides in recent decades at documenting ecological relationships in urban areas, much remains unknown, and we still need to identify the major ecological factors, aside from habitat loss, behind the persistence or extinction of species and guilds of species in cities...
November 2016: Ecology
https://www.readbyqxmd.com/read/27775535/gseh-a-novel-approach-to-select-prostate-cancer-associated-genes-using-gene-expression-heterogeneity
#13
Hyunjin Kim, Sang-Min Choi, Sanghyun Park
When a gene shows varying levels of expression among normal people but similar levels in disease patients or shows similar levels of expression among normal people but different levels in disease patients, we can assume that the gene is associated with the disease. By utilizing this gene expression heterogeneity, we can obtain additional information that abets discovery of disease-associated genes. In this study, we used collaborative filtering to calculate the degree of gene expression heterogeneity between classes and then scored the genes on the basis of the degree of gene expression heterogeneity to find "differentially predicted" genes...
October 19, 2016: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/27754456/an-efficient-recommendation-filter-model-on-smart-home-big-data-analytics-for-enhanced-living-environments
#14
Hao Chen, Xiaoyun Xie, Wanneng Shu, Naixue Xiong
With the rapid growth of wireless sensor applications, the user interfaces and configurations of smart homes have become so complicated and inflexible that users usually have to spend a great amount of time studying them and adapting to their expected operation. In order to improve user experience, a weighted hybrid recommender system based on a Kalman Filter model is proposed to predict what users might want to do next, especially when users are located in a smart home with an enhanced living environment. Specifically, a weight hybridization method was introduced, which combines contextual collaborative filter and the contextual content-based recommendations...
October 15, 2016: Sensors
https://www.readbyqxmd.com/read/27727177/adaptive-collaborative-gaussian-mixture-probability-hypothesis-density-filter-for-multi-target-tracking
#15
Feng Yang, Yongqi Wang, Hao Chen, Pengyan Zhang, Yan Liang
In this paper, an adaptive collaborative Gaussian Mixture Probability Hypothesis Density (ACo-GMPHD) filter is proposed for multi-target tracking with automatic track extraction. Based on the evolutionary difference between the persistent targets and the birth targets, the measurements are adaptively partitioned into two parts, persistent and birth measurement sets, for updating the persistent and birth target Probability Hypothesis Density, respectively. Furthermore, the collaboration mechanism of multiple probability hypothesis density (PHDs) is established, where tracks can be automatically extracted...
October 11, 2016: Sensors
https://www.readbyqxmd.com/read/27716836/large-scale-off-target-identification-using-fast-and-accurate-dual-regularized-one-class-collaborative-filtering-and-its-application-to-drug-repurposing
#16
Hansaim Lim, Aleksandar Poleksic, Yuan Yao, Hanghang Tong, Di He, Luke Zhuang, Patrick Meng, Lei Xie
Target-based screening is one of the major approaches in drug discovery. Besides the intended target, unexpected drug off-target interactions often occur, and many of them have not been recognized and characterized. The off-target interactions can be responsible for either therapeutic or side effects. Thus, identifying the genome-wide off-targets of lead compounds or existing drugs will be critical for designing effective and safe drugs, and providing new opportunities for drug repurposing. Although many computational methods have been developed to predict drug-target interactions, they are either less accurate than the one that we are proposing here or computationally too intensive, thereby limiting their capability for large-scale off-target identification...
October 2016: PLoS Computational Biology
https://www.readbyqxmd.com/read/27618057/distributed-particle-filter-for-target-tracking-with-reduced-sensor-communications
#17
Tadesse Ghirmai
For efficient and accurate estimation of the location of objects, a network of sensors can be used to detect and track targets in a distributed manner. In nonlinear and/or non-Gaussian dynamic models, distributed particle filtering methods are commonly applied to develop target tracking algorithms. An important consideration in developing a distributed particle filtering algorithm in wireless sensor networks is reducing the size of data exchanged among the sensors because of power and bandwidth constraints...
2016: Sensors
https://www.readbyqxmd.com/read/27608451/social-collaborative-filtering-by-trust
#18
Bo Yang, Yu Lei, Jiming Liu, Wenjie Li
Recommender systems are used to accurately and actively provide users with potentially interesting information or services. Collaborative filtering is a widely adopted approach to recommendation, but sparse data and cold-start users are often barriers to providing high quality recommendations. To address such issues, we propose a novel method that works to improve the performance of collaborative filtering recommendations by integrating sparse rating data given by users and sparse social trust network among these same users...
September 1, 2016: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/27605006/what-do-general-practitioners-know-about-adhd-attitudes-and-knowledge-among-first-contact-gatekeepers-systematic-narrative-review
#19
Mimi Tatlow-Golden, Lucia Prihodova, Blanaid Gavin, Walter Cullen, Fiona McNicholas
BACKGROUND: Attention Deficit Hyperactivity Disorder (ADHD) is a common childhood disorder with international prevalence estimates of 5 % in childhood, yet significant evidence exists that far fewer children receive ADHD services. In many countries, ADHD is assessed and diagnosed in specialist mental health or neuro-developmental paediatric clinics, to which referral by General (Family) Practitioners (GPs) is required. In such 'gatekeeper' settings, where GPs act as a filter to diagnosis and treatment, GPs may either not recognise potential ADHD cases, or may be reluctant to refer...
2016: BMC Family Practice
https://www.readbyqxmd.com/read/27591247/stem-cell-insights-into-human-trophoblast-lineage-differentiation
#20
REVIEW
Teena Kjb Gamage, Lawrence W Chamley, Joanna L James
BACKGROUND: The human placenta is vital for fetal development, yet little is understood about how it forms successfully to ensure a healthy pregnancy or why this process is inadequate in 1 in 10 pregnancies, leading to miscarriage, intrauterine growth restriction or preeclampsia. Trophoblasts are placenta-specific epithelial cells that maximize nutrient exchange. All trophoblast lineages are thought to arise from a population of trophoblast stem cells (TSCs). However, whilst the isolation of murine TSC has led to an explosion in understanding murine placentation, the isolation of an analogous human TSC has proved more difficult...
December 2016: Human Reproduction Update
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