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https://www.readbyqxmd.com/read/28203287/specific-immunotherapy-in-renal-cancer-a-systematic-review
#1
REVIEW
Armin Hirbod-Mobarakeh, Hesam Addin Gordan, Zahra Zahiri, Mohammad Mirshahvalad, Sima Hosseinverdi, Brian I Rini, Nima Rezaei
BACKGROUND: Renal cell cancer (RCC) is the tenth most common malignancy in adults. In recent years, several approaches of active and passive immunotherapy have been studied extensively in clinical trials of patients with RCC. The aim of this systematic review was to assess the clinical efficacy of various approaches of specific immunotherapy in patients with RCC. METHODS: We searched Medline, Scopus, CENTRAL, TRIP, DART, OpenGrey and ProQuest without any language filter through to 9 October 2015...
February 2017: Therapeutic Advances in Urology
https://www.readbyqxmd.com/read/28155846/rationalizing-the-permeation-of-polar-antibiotics-into-gram-negative-bacteria
#2
Mariano Andrea Scorciapino, Silvia Acosta-Gutierrez, Dehbia Benkerrou, Tommaso D'Agostino, Giuliano Malloci, Susruta Samanta, Igor Bodrenko, Matteo Ceccarelli
The increasing level of antibiotic resistance in Gram-negative bacteria, together with the lack of new potential drug scaffolds in the pipeline, make the problem of infectious diseases a global challenge for modern medicine. The main reason that Gram-negative bacteria are particularly challenging is the presence of an outer cell-protecting membrane, which is not present in Gram-positive species. Such an asymmetric bilayer is a highly effective barrier for polar molecules. Several protein systems are expressed in the outer membrane to control the internal concentration of both nutrients and noxious species, in particular: (i) water-filled channels that modulate the permeation of polar molecules and ions according to concentration gradients, and (ii) efflux pumps to actively expel toxic compounds...
March 22, 2017: Journal of Physics. Condensed Matter: An Institute of Physics Journal
https://www.readbyqxmd.com/read/28151447/ceramic-pot-filters-lifetime-study-in-coastal-guatemala
#3
C Salvinelli, A C Elmore, B R García Hernandez, K D Drake
Ceramic pot filters (CPFs) are an effective means of household water treatment, but the characterization of CPF lifetimes is ongoing. This paper describes a lifetime field study in Guatemala which was made possible by a collaboration between researchers, CPF-using households, and local non-governmental organizations (NGOs). Disinfection data were collected periodically for two years using field coliform enumeration kits as were flow rate data with the assistance of NGO staff. Consumer acceptance was characterized by surveying householders in the four subject villages at the beginning and end of the study...
February 2017: Journal of Water and Health
https://www.readbyqxmd.com/read/28114068/learning-collaborative-sparse-representation-for-grayscale-thermal-tracking
#4
Chenglong Li, Hui Cheng, Shiyi Hu, Xiaobai Liu, Jin Tang, Liang Lin
Integrating multiple different yet complementary feature representations has been proved to be an effective way for boosting tracking performance. This paper investigates how to perform robust object tracking in challenging scenarios by adaptively incorporating information from grayscale and thermal videos, and proposes a novel collaborative algorithm for online tracking. In particular, an adaptive fusion scheme is proposed based on collaborative sparse representation in Bayesian filtering framework. We jointly optimize sparse codes and the reliable weights of different modalities in an online way...
September 27, 2016: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28113690/multirelational-social-recommendations-via-multigraph-ranking
#5
Mingsong Mao, Jie Lu, Guangquan Zhang, Jinlong Zhang
Recommender systems aim to identify relevant items for particular users in large-scale online applications. The historical rating data of users is a valuable input resource for many recommendation models such as collaborative filtering (CF), but these models are known to suffer from the rating sparsity problem when the users or items under consideration have insufficient rating records. With the continued growth of online social networks, the increased user-to-user relationships are reported to be helpful and can alleviate the CF rating sparsity problem...
September 12, 2016: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28106516/rural-end-of-life-care-from-the-experiences-and-perspectives-of-patients-and-family-caregivers-a-systematic-literature-review
#6
Suzanne Rainsford, Roderick D MacLeod, Nicholas J Glasgow, Christine B Phillips, Robert B Wiles, Donna M Wilson
BACKGROUND: End-of-life care must be relevant to the dying person and their family caregiver regardless of where they live. Rural areas are distinct and need special consideration. Gaining end-of-life care experiences and perspectives of rural patients and their family caregivers is needed to ensure optimal rural care. AIMS: To describe end-of-life care experiences and perspectives of rural patients and their family caregivers, to identify facilitators and barriers to receiving end-of-life care in rural/remote settings and to describe the influence of rural place and culture on end-of-life care experiences...
January 1, 2017: Palliative Medicine
https://www.readbyqxmd.com/read/28103558/effective-multi-query-expansions-collaborative-deep-networks-for-robust-landmark-retrieval
#7
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/28047585/su-d-206-06-task-specific-optimization-of-scintillator-thickness-for-cmos-detector-based-cone-beam-breast-ct
#8
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
#9
(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
#10
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
#11
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
#12
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
#13
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
#14
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
#15
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
#16
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
#17
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
#18
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
#19
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
#20
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
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