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https://www.readbyqxmd.com/read/28646763/deep-neural-mapping-support-vector-machines
#1
Yujian Li, Ting Zhang
The choice of kernel has an important effect on the performance of a support vector machine (SVM). The effect could be reduced by NEUROSVM, an architecture using multilayer perceptron for feature extraction and SVM for classification. In binary classification, a general linear kernel NEUROSVM can be theoretically simplified as an input layer, many hidden layers, and an SVM output layer. As a feature extractor, the sub-network composed of the input and hidden layers is first trained together with a virtual ordinary output layer by backpropagation, then with the output of its last hidden layer taken as input of the SVM classifier for further training separately...
June 21, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28646506/three-lessons-for-genetic-toxicology-from-baseball-analytics
#2
EDITORIAL
Stephen D Dertinger
In many respects the evolution of baseball statistics mirrors advances made in the field of genetic toxicology. From its inception, baseball and statistics have been inextricably linked. Generations of players and fans have used a number of relatively simple measurements to describe team and individual player's current performance, as well as for historical record-keeping purposes. Over the years, baseball analytics has progressed in several important ways. Early advances were based on deriving more meaningful metrics from simpler forerunners...
June 24, 2017: Environmental and Molecular Mutagenesis
https://www.readbyqxmd.com/read/28646177/hyperspectral-imaging-for-presymptomatic-detection-of-tobacco-disease-with-successive-projections-algorithm-and-machine-learning-classifiers
#3
Hongyan Zhu, Bingquan Chu, Chu Zhang, Fei Liu, Linjun Jiang, Yong He
We investigated the feasibility and potentiality of presymptomatic detection of tobacco disease using hyperspectral imaging, combined with the variable selection method and machine-learning classifiers. Images from healthy and TMV-infected leaves with 2, 4, and 6 days post infection were acquired by a pushbroom hyperspectral reflectance imaging system covering the spectral range of 380-1023 nm. Successive projections algorithm was evaluated for effective wavelengths (EWs) selection. Four texture features, including contrast, correlation, entropy, and homogeneity were extracted according to grey-level co-occurrence matrix (GLCM)...
June 23, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28645670/fracture-resistance-of-cad-cam-monolithic-ceramic-and-veneered-zirconia-molar-crowns-after-aging-in-a-mastication-simulator
#4
Merve Bankoğlu Güngör, Secil Karakoca Nemli
STATEMENT OF PROBLEM: The demand for ceramic restorations has increased over the past years, and now various machinable materials can be used for chairside computer-aided design and computer aided manufacturing (CAD-CAM) systems. Limited studies of these new materials make it difficult to evaluate their mechanical performance, advantages, and limitations. PURPOSE: The purpose of this in vitro study was to investigate the fracture resistance of CAD-CAM monolithic ceramic and veneered zirconia molar crowns after thermomechanical aging...
June 20, 2017: Journal of Prosthetic Dentistry
https://www.readbyqxmd.com/read/28645663/failure-torque-of-ceramic-neck-titanium-implant
#5
Waleed Elshahawy, Raed Ajlouni, Khaldoun Ajlouni, Abdelfattah Sadakah
STATEMENT OF PROBLEM: Dental implants are typically made of titanium. However, with the current systems on the market, the implant neck often shows through the gingival tissues as a black or dark gray line and/or as a grayish discoloration of the peri-implant soft tissue. PURPOSE: The purpose of this in vitro study was to test a new implant design. The key component of this design is the ceramic shell that covers the polished collar of the tissue-level titanium implant and masks its dark color to mimic natural dentition...
June 20, 2017: Journal of Prosthetic Dentistry
https://www.readbyqxmd.com/read/28645425/we-are-teachers-by-design-the-time-machine-approach-time-to-revisit
#6
EDITORIAL
Joseph S Sanfilippo
No abstract text is available yet for this article.
August 2017: Journal of Pediatric and Adolescent Gynecology
https://www.readbyqxmd.com/read/28645376/proteomic-analyses-of-the-eukaryotic-replication-machinery
#7
David Cortez
DNA replication in a human cell involves hundreds of proteins that copy the DNA accurately and completely each cell division cycle. In addition to the core DNA copying machine (the replisome), accessory proteins work to respond to replication stress, correct errors, and repackage the DNA into appropriate chromatin structures. New proteomic tools have been invented in the past few years to facilitate the purification, identification, and quantification of the replication, chromatin maturation, and replication stress response machineries...
2017: Methods in Enzymology
https://www.readbyqxmd.com/read/28645285/completeness-and-timeliness-of-notifiable-disease-reporting-a-comparison-of-laboratory-and-provider-reports-submitted-to-a-large-county-health-department
#8
Brian E Dixon, Zuoyi Zhang, Patrick T S Lai, Uzay Kirbiyik, Jennifer Williams, Rebecca Hills, Debra Revere, P Joseph Gibson, Shaun J Grannis
BACKGROUND: Most public health agencies expect reporting of diseases to be initiated by hospital, laboratory or clinic staff even though so-called passive approaches are known to be burdensome for reporters and produce incomplete as well as delayed reports, which can hinder assessment of disease and delay recognition of outbreaks. In this study, we analyze patterns of reporting as well as data completeness and timeliness for traditional, passive reporting of notifiable disease by two distinct sources of information: hospital and clinic staff versus clinical laboratory staff...
June 23, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28644814/learning-multimodal-parameters-a-bare-bones-niching-differential-evolution-approach
#9
Yue-Jiao Gong, Jun Zhang, Yicong Zhou
Most learning methods contain optimization as a substep, where the nondifferentiability and multimodality of objectives push forward the interplay of evolutionary optimization algorithms and machine learning models. The recently emerged evolutionary multimodal optimization (MMOP) technique enables the learning of diverse sets of effective parameters for the models simultaneously, providing new opportunities to the applications requiring both accuracy and diversity, such as ensemble, interactive, and interpretive learning...
June 20, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28644811/applying-pattern-recognition-to-high-resolution-images-to-determine-cellular-signaling-status
#10
Michael F Lohrer, Darrin M Hanna, Yang Liu, Kang-Hsin Wang, Fu-Tong Liu, Ted A Laurence, Gang-Yu Liu
Two frequently used tools to acquire high-resolution images of cells are scanning electron microscopy (SEM) and atomic force microscopy (AFM). The former provides a nanometer resolution view of cellular features rapidly and with high throughput, while the latter enables visualizing hydrated and living cells. In current practice, these images are viewed by eye to determine cellular status, e.g. activated versus resting. Automatic and quantitative data analysis is lacking. This work develops an algorithm of pattern recognition that works very effectively for AFM and SEM images...
June 21, 2017: IEEE Transactions on Nanobioscience
https://www.readbyqxmd.com/read/28644580/a-free-ride-an-analysis-of-the-association-of-casino-bus-tours-and-problem-gambling-among-older-adults
#11
Mark van der Maas, Robert E Mann, Flora I Matheson, Nigel E Turner, Hayley A Hamilton, John McCready
BACKGROUND AND AIMS: Little research has examined the relationship between incentives used by gambling venues to attract customers and the experience of gambling related harm. Organized and subsidized bus tours are a common example of such incentives. The aim of this study was to examine whether bus tour patronage was associated with increased odds of problem gambling among older adults. This study also compared rates of bus tour use by sociodemographic characteristics and gambling behaviours...
June 23, 2017: Addiction
https://www.readbyqxmd.com/read/28644398/a-novel-wearable-forehead-eog-measurement-system-for-human-computer-interfaces
#12
Jeong Heo, Heenam Yoon, Kwang Suk Park
Amyotrophic lateral sclerosis (ALS) patients whose voluntary muscles are paralyzed commonly communicate with the outside world using eye movement. There have been many efforts to support this method of communication by tracking or detecting eye movement. An electrooculogram (EOG), an electro-physiological signal, is generated by eye movements and can be measured with electrodes placed around the eye. In this study, we proposed a new practical electrode position on the forehead to measure EOG signals, and we developed a wearable forehead EOG measurement system for use in Human Computer/Machine interfaces (HCIs/HMIs)...
June 23, 2017: Sensors
https://www.readbyqxmd.com/read/28644378/an-energy-efficient-multi-tier-architecture-for-fall-detection-using-smartphones
#13
M Amac Guvensan, A Oguz Kansiz, N Cihan Camgoz, H Irem Turkmen, A Gokhan Yavuz, M Elif Karsligil
Automatic detection of fall events is vital to providing fast medical assistance to the causality, particularly when the injury causes loss of consciousness. Optimization of the energy consumption of mobile applications, especially those which run 24/7 in the background, is essential for longer use of smartphones. In order to improve energy-efficiency without compromising on the fall detection performance, we propose a novel 3-tier architecture that combines simple thresholding methods with machine learning algorithms...
June 23, 2017: Sensors
https://www.readbyqxmd.com/read/28644276/an-innovative-syringe-exchange-program
#14
Carol Potera
Nevada's pilot vending machine program encourages users to enter treatment programs.
July 2017: American Journal of Nursing
https://www.readbyqxmd.com/read/28644140/a-pathways-based-prediction-model-for-classifying-breast-cancer-subtypes
#15
Tong Wu, Yunfeng Wang, Ronghui Jiang, Xinliang Lu, Jiawei Tian
Breast cancer is highly heterogeneous and is classified into four subtypes characterized by specific biological traits, treatment responses, and clinical prognoses. We performed a systemic analysis of 698 breast cancer patient samples from The Cancer Genome Atlas project database. We identified 136 breast cancer genes differentially expressed among the four subtypes. Based on unsupervised clustering analysis, these 136 core genes efficiently categorized breast cancer patients into the appropriate subtypes. Functional enrichment based on Kyoto Encyclopedia of Genes and Genomes analysis identified six functional pathways regulated by these genes: JAK-STAT signaling, basal cell carcinoma, inflammatory mediator regulation of TRP channels, non-small cell lung cancer, glutamatergic synapse, and amyotrophic lateral sclerosis...
June 17, 2017: Oncotarget
https://www.readbyqxmd.com/read/28643751/quick-efficient-and-effective-patient-specific-intensity-modulated-radiation-therapy-quality-assurance-using-log-file-and-electronic-portal-imaging-device
#16
Rajesh Kumar, H I Amols, M Lovelock, S D Sharma, D Datta
AIM: The aim of work is to explore a quick, efficient, and effective patient-specific intensity-modulated radiation therapy (IMRT) quality assurance (QA). MATERIALS AND METHODS: Software tools were developed to extract and analyze the multi-leaf collimator (MLC) leaf positions (LPs) from electronic portal imaging device (EPID) images for Varian C-series machine and TrueBeam, to extract useful data from MLC log file of C-series linear accelerator (LINAC), to extract useful information from the trajectory log binary file of TrueBeam LINAC, to compare LPs derived from EPID images with log file/trajectory log data, and to analyze IMRT treatment files using the MATLAB programming language...
April 2017: Journal of Cancer Research and Therapeutics
https://www.readbyqxmd.com/read/28643738/five-versus-ten-fractions-per-week-radiotherapy-in-locally-advanced-head-and-neck-cancer
#17
Ramanjis Viranna Tallari, O P Singh, Veenita Yogi, Suresh Yadav
INTRODUCTION: Conventional fractionated radiotherapy (CFRT) is in use since a long time, but the invention of altered fractionation such as hyperfractionation has improved survival in head and neck squamous cell cancer (HNSCC). AIMS: Our aim of this prospective randomized study is to compare conventional 5 fractions per week (CFRT) with hyperfractionation 10 fractions per week (hyperfractionated radiotherapy [HFRT]) in locally advanced head and neck cancer. PATIENTS AND METHODS: The study period is from November 2013 to April 2015...
April 2017: Journal of Cancer Research and Therapeutics
https://www.readbyqxmd.com/read/28643394/incorporating-deep-learning-with-convolutional-neural-networks-and-position-specific-scoring-matrices-for-identifying-electron-transport-proteins
#18
Nguyen-Quoc-Khanh Le, Quang-Thai Ho, Yu-Yen Ou
In several years, deep learning is a modern machine learning technique using in a variety of fields with state-of-the-art performance. Therefore, utilization of deep learning to enhance performance is also an important solution for current bioinformatics field. In this study, we try to use deep learning via convolutional neural networks and position specific scoring matrices to identify electron transport proteins, which is an important molecular function in transmembrane proteins. Our deep learning method can approach a precise model for identifying of electron transport proteins with achieved sensitivity of 80...
June 22, 2017: Journal of Computational Chemistry
https://www.readbyqxmd.com/read/28643328/drug-repurposing-by-simulating-flow-through-protein-protein-interaction-networks
#19
M Manczinger, V Bodnár, B T Papp, B Sz Bolla, K Szabó, B Balázs, E Csányi, E Szél, G Erős, L Kemény
As drug development is extremely expensive, the identification of novel indications for in-market drugs is financially attractive. Multiple algorithms are used to support such drug repurposing, but highly reliable methods combining simulation of intracellular networks and machine learning are currently not available. We developed an algorithm that simulates drug effects on the flow of information through protein-protein interaction networks, and uses Support Vector Machine to identify potentially effective drugs in our model disease, psoriasis...
June 23, 2017: Clinical Pharmacology and Therapeutics
https://www.readbyqxmd.com/read/28643174/natural-language-processing-for-ehr-based-pharmacovigilance-a-structured-review
#20
REVIEW
Yuan Luo, William K Thompson, Timothy M Herr, Zexian Zeng, Mark A Berendsen, Siddhartha R Jonnalagadda, Matthew B Carson, Justin Starren
The goal of pharmacovigilance is to detect, monitor, characterize and prevent adverse drug events (ADEs) with pharmaceutical products. This article is a comprehensive structured review of recent advances in applying natural language processing (NLP) to electronic health record (EHR) narratives for pharmacovigilance. We review methods of varying complexity and problem focus, summarize the current state-of-the-art in methodology advancement, discuss limitations and point out several promising future directions...
June 22, 2017: Drug Safety: An International Journal of Medical Toxicology and Drug Experience
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