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collaborative filtering

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
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
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
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
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
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
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
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...
September 2, 2016: Human Reproduction Update
Viola Conte, Monica Monaco, Tommaso Giani, Fortunato D'Ancona, Maria Luisa Moro, Fabio Arena, Marco Maria D'Andrea, Gian Maria Rossolini, Annalisa Pantosti
OBJECTIVES: The spread of carbapenem-resistant Enterobacteriaceae (CRE) represents one of the most worrisome problems for clinical medicine worldwide. In Italy, the Antibiotic-Resistance-Istituto Superiore di Sanità surveillance network, in collaboration with the Committee for Antimicrobial Agents of the Italian Society of Clinical Microbiologists, promoted a study to investigate the carbapenem-resistance mechanisms, clonal relatedness and capsular typing of a recent collection of carbapenem-resistant Klebsiella pneumoniae (CR-KP)...
September 1, 2016: Journal of Antimicrobial Chemotherapy
Anca Bucur, Jasper van Leeuwen, Njin-Zu Chen, Brecht Claerhout, Kristof de Schepper, David Perez-Rey, Sergio Paraiso-Medina, Raul Alonso-Calvo, Keyur Mehta, Cyril Krykwinski
This paper describes a new Cohort Selection application implemented to support streamlining the definition phase of multi-centric clinical research in oncology. Our approach aims at both ease of use and precision in defining the selection filters expressing the characteristics of the desired population. The application leverages our standards-based Semantic Interoperability Solution and a Groovy DSL to provide high expressiveness in the definition of filters and flexibility in their composition into complex selection graphs including splits and merges...
2016: AMIA Summits on Translational Science Proceedings
Michaela Coenen, Carla Sabariego, Alarcos Cieza
BACKGROUND: The Convention on the Rights of Persons with Disabilities (UNCRPD) demands actions to improve participation of people with disability and to remove barriers that hinder participation in society on an equal basis with others. Policymaking in this area requires reliable and detailed data on all aspects of disability. Up to now, there has been no standardized tool for collecting data on disability and participation in the general population. In November 2011, WHO, in collaboration with the World Bank, started the development of the Model Disability Survey (MDS)...
September 2016: Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
Shasha Mao, Lin Xiong, Licheng Jiao, Tian Feng, Sai-Kit Yeung
Riemannian optimization has been widely used to deal with the fixed low-rank matrix completion problem, and Riemannian metric is a crucial factor of obtaining the search direction in Riemannian optimization. This paper proposes a new Riemannian metric via simultaneously considering the Riemannian geometry structure and the scaling information, which is smoothly varying and invariant along the equivalence class. The proposed metric can make a tradeoff between the Riemannian geometry structure and the scaling information effectively...
July 26, 2016: IEEE Transactions on Cybernetics
Jie Chen, Jiahong Li, Shuanghua Yang, Fang Deng
The identification of the nonlinearity and coupling is crucial in nonlinear target tracking problem in collaborative sensor networks. According to the adaptive Kalman filtering (KF) method, the nonlinearity and coupling can be regarded as the model noise covariance, and estimated by minimizing the innovation or residual errors of the states. However, the method requires large time window of data to achieve reliable covariance measurement, making it impractical for nonlinear systems which are rapidly changing...
July 21, 2016: IEEE Transactions on Cybernetics
Laura Stefani, Giorgio Galanti, Johnny Padulo, Nicola L Bragazzi, Nicola Maffulli
Sexual activity before competition has been considered as a possible cause for reduced performance since ancient Greece and Rome. Recently, the hypothesis that optimal sport performance could be influenced by a variety of factors including sexual activity before competition has been investigated. However, few scientific data are available, with the exception of anecdotal reports of individual experiences. The present systematic review focused on the current scientific evidence on the effects of sexual activity on sport performance regardless of sport type...
2016: Frontiers in Physiology
Elizabeth Ann Bien, Gordon Lee Gillespie, Cynthia Ann Betcher, Terri L Thrasher, Donna R Mingerink
International travel and infectious respiratory illnesses worldwide place health care workers (HCWs) at increasing risk of respiratory exposures. To ensure the highest quality safety initiatives, one health care system used a quality improvement model of Plan-Do-Study-Act and guidance from Occupational Safety and Health Administration's (OSHA) May 2015 Hospital Respiratory Protection Program (RPP) Toolkit to assess a current program. The toolkit aided in identification of opportunities for improvement within their well-designed RPP...
July 20, 2016: Workplace Health & Safety
M Townsend Cooper, Edgardo Szyld, Paul M Darden
Anecdotal experiences raise concerns that abusive head trauma (AHT) is significantly underdiagnosed and perhaps poorly recognized in Latin American settings. With increasing interest in international collaboration in pediatrics, differences in perspectives regarding complex diagnoses should be explored to facilitate a productive exchange of knowledge and ideas. The purpose of this study was to describe the medical literature pertaining to AHT available to physicians who read only in Spanish. In this review, LILACS, SciELO (major Spanish language databases) and Pubmed were searched with appropriate terms and filters in English, Spanish, and Portuguese for Spanish language articles on AHT...
August 2016: Child Abuse & Neglect
Georgios D Kotzalidis, Chiara Rapinesi, Valeria Savoja, Ilaria Cuomo, Alessio Simonetti, Elisa Ambrosi, Isabella Panaccione, Silvia Gubbini, Pietro De Rossi, Lavinia De Chiara, Delfina Janiri, Gabriele Sani, Alexia E Koukopoulos, Giovanni Manfredi, Flavia Napoletano, Matteo Caloro, Lucia Pancheri, Antonella Puzella, Gemma Callovini, Gloria Angeletti, Antonio Del Casale
BACKGROUND: Athanasios Koukopoulos proposed the primacy of mania hypothesis (PoM) in a 2006 book chapter and later, in two peer-reviewed papers with Nassir Ghaemi and other collaborators. This hypothesis supports that in bipolar disorder, mania leads to depression, while depression does not lead to mania. OBJECTIVE: To identify evidence in literature that supports or falsifies this hypothesis. METHOD: We searched the medical literature (PubMed, Embase, PsycINFO, and the Cochrane Library) for peer-reviewed papers on the primacy of mania, the default mode function of the brain in normal people and in bipolar disorder patients, and on illusion superiority until 6 June, 2016...
July 8, 2016: Current Neuropharmacology
Michael B Cole, Hong Quach, Diana Quach, Baker Alice, Kimberly E Taylor, Lisa F Barcellos, Lindsey A Criswell
OBJECTIVE: Sjögren's Syndrome (SS) is a complex multi-system autoimmune disease that results in progressive destruction of the exocrine glands. In the current study we characterize epigenetic changes in disease-affected gland tissue and describe the relationship of these changes to known inflammatory processes. METHODS: A genome-wide DNA methylation study was performed on human labial salivary gland (LSG) tissue drawing from biopsies sampled from 28 female members of the Sjögren's International Collaborative Clinical Alliance Registry...
June 22, 2016: Arthritis & Rheumatology
S I Penttila, J D Bowman
The abBA collaboration is developing a new type of field-expansion spectrometer for a measurement of the three correlation coefficients a, A, and B and the shape parameter b. The measurement of A and B requires precision neutron polarimetry. We will polarize a pulsed cold neutron beam from the SNS using a (3)He neutron spin filter. The well-known polarizing cross section for n-(3)He has a 1/v dependence, where v is the neutron velocity, which is used to determine the absolute beam polarization through a time-of-flight (TOF) measurement...
2005: Journal of Research of the National Institute of Standards and Technology
Weijie Cheng, Guisheng Yin, Yuxin Dong, Hongbin Dong, Wansong Zhang
As an important factor for improving recommendations, time information has been introduced to model users' dynamic preferences in many papers. However, the sequence of users' behaviour is rarely studied in recommender systems. Due to the users' unique behavior evolution patterns and personalized interest transitions among items, users' similarity in sequential dimension should be introduced to further distinguish users' preferences and interests. In this paper, we propose a new collaborative filtering recommendation method based on users' interest sequences (IS) that rank users' ratings or other online behaviors according to the timestamps when they occurred...
2016: PloS One
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