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https://www.readbyqxmd.com/read/28335480/weighted-kernel-entropy-component-analysis-for-fault-diagnosis-of-rolling-bearings
#1
Hongdi Zhou, Tielin Shi, Guanglan Liao, Jianping Xuan, Jie Duan, Lei Su, Zhenzhi He, Wuxing Lai
This paper presents a supervised feature extraction method called weighted kernel entropy component analysis (WKECA) for fault diagnosis of rolling bearings. The method is developed based on kernel entropy component analysis (KECA) which attempts to preserve the Renyi entropy of the data set after dimension reduction. It makes full use of the labeled information and introduces a weight strategy in the feature extraction. The class-related weights are introduced to denote differences among the samples from different patterns, and genetic algorithm (GA) is implemented to seek out appropriate weights for optimizing the classification results...
March 18, 2017: Sensors
https://www.readbyqxmd.com/read/28335471/mobile-phonocardiogram-diagnosis-in-newborns-using-support-vector-machine
#2
Amir Mohammad Amiri, Mohammadreza Abtahi, Nick Constant, Kunal Mankodiya
Phonocardiogram (PCG) monitoring on newborns is one of the most important and challenging tasks in the heart assessment in the early ages of life. In this paper, we present a novel approach for cardiac monitoring applied in PCG data. This basic system coupled with denoising, segmentation, cardiac cycle selection and classification of heart sound can be used widely for a large number of the data. This paper describes the problems and additional advantages of the PCG method including the possibility of recording heart sound at home, removing unwanted noises and data reduction on a mobile device, and an intelligent system to diagnose heart diseases on the cloud server...
March 18, 2017: Healthcare (Basel, Switzerland)
https://www.readbyqxmd.com/read/28335436/photonic-low-cost-micro-sensor-for-in-line-wear-particle-detection-in-flowing-lube-oils
#3
Jon Mabe, Joseba Zubia, Eneko Gorritxategi
The presence of microscopic particles in suspension in industrial fluids is often an early warning of latent or imminent failures in the equipment or processes where they are being used. This manuscript describes work undertaken to integrate different photonic principles with a micro- mechanical fluidic structure and an embedded processor to develop a fully autonomous wear debris sensor for in-line monitoring of industrial fluids. Lens-less microscopy, stroboscopic illumination, a CMOS imager and embedded machine vision technologies have been merged to develop a sensor solution that is able to detect and quantify the number and size of micrometric particles suspended in a continuous flow of a fluid...
March 14, 2017: Sensors
https://www.readbyqxmd.com/read/28335400/online-classification-of-contaminants-based-on-multi-classification-support-vector-machine-using-conventional-water-quality-sensors
#4
Pingjie Huang, Yu Jin, Dibo Hou, Jie Yu, Dezhan Tu, Yitong Cao, Guangxin Zhang
Water quality early warning system is mainly used to detect deliberate or accidental water pollution events in water distribution systems. Identifying the types of pollutants is necessary after detecting the presence of pollutants to provide warning information about pollutant characteristics and emergency solutions. Thus, a real-time contaminant classification methodology, which uses the multi-classification support vector machine (SVM), is proposed in this study to obtain the probability for contaminants belonging to a category...
March 13, 2017: Sensors
https://www.readbyqxmd.com/read/28335394/motor-function-evaluation-of-hemiplegic-upper-extremities-using-data-fusion-from-wearable-inertial-and-surface-emg-sensors
#5
Yanran Li, Xu Zhang, Yanan Gong, Ying Cheng, Xiaoping Gao, Xiang Chen
Quantitative evaluation of motor function is of great demand for monitoring clinical outcome of applied interventions and further guiding the establishment of therapeutic protocol. This study proposes a novel framework for evaluating upper limb motor function based on data fusion from inertial measurement units (IMUs) and surface electromyography (EMG) sensors. With wearable sensors worn on the tested upper limbs, subjects were asked to perform eleven straightforward, specifically designed canonical upper-limb functional tasks...
March 13, 2017: Sensors
https://www.readbyqxmd.com/read/28334982/use-it-or-lose-it-citations-predict-the-continued-online-availability-of-published-bioinformatics-resources
#6
Jonathan D Wren, Constantin Georgescu, Cory B Giles, Jason Hennessey
Scientific Data Analysis Resources (SDARs) such as bioinformatics programs, web servers and databases are integral to modern science, but previous studies have shown that the Uniform Resource Locators (URLs) linking to them decay in a time-dependent manner, with ∼27% decayed to date. Because SDARs are overrepresented among science's most cited papers over the past 20 years, loss of widely used SDARs could be particularly disruptive to scientific research. We identified URLs in MEDLINE abstracts and used crowdsourcing to identify which reported the creation of SDARs...
March 15, 2017: Nucleic Acids Research
https://www.readbyqxmd.com/read/28334058/benchmarking-outcomes-in-implant-prosthodontics-partial-fixed-dental-prostheses-and-crowns-supported-by-implants-with-a-turned-surface-over-10-to-28-years-at-the-university-of-toronto
#7
Asbjørn Jokstad, Anne M Gussgard, Joseph Fava, Mark Lin, Babak Shokati, Eszter Somogyi-Ganss, Brenton Winnett, Mohammed Zahran
PURPOSE: The aim of this noninterventional, retrospective study was to benchmark the outcomes of patients with partial fixed prostheses supported by implants treated at the University of Toronto at least 10 years earlier. A study protocol for assessing outcomes on like patients developed at the University of Bern, Switzerland, was followed. MATERIALS AND METHODS: All patients who had received at least one implant before 2002 were considered eligible to be included in the study (n = 298)...
March 23, 2017: International Journal of Oral & Maxillofacial Implants
https://www.readbyqxmd.com/read/28333956/discriminating-between-hur-and-ttp-binding-sites-using-the-k-spectrum-kernel-method
#8
Shweta Bhandare, Debra S Goldberg, Robin Dowell
BACKGROUND: The RNA binding proteins (RBPs) human antigen R (HuR) and Tristetraprolin (TTP) are known to exhibit competitive binding but have opposing effects on the bound messenger RNA (mRNA). How cells discriminate between the two proteins is an interesting problem. Machine learning approaches, such as support vector machines (SVMs), may be useful in the identification of discriminative features. However, this method has yet to be applied to studies of RNA binding protein motifs. RESULTS: Applying the k-spectrum kernel to a support vector machine (SVM), we first verified the published binding sites of both HuR and TTP...
2017: PloS One
https://www.readbyqxmd.com/read/28333889/normothermic-ex-situ-liver-preservation-the-new-gold-standard
#9
Richard W Laing, Hynek Mergental, Darius F Mirza
PURPOSE OF REVIEW: Normothermic machine perfusion of the liver (NMP-L) is a novel technology recently introduced into the practice of liver transplantation. This review recapitulates benefits of normothermic perfusion over conventional static cold storage and summarizes recent publications in this area. RECENT FINDINGS: The first clinical trials have demonstrated both safety and feasibility of NMP-L. They have shown that machine perfusion can entirely replace cold storage or be commenced following a period of cold ischaemia...
March 22, 2017: Current Opinion in Organ Transplantation
https://www.readbyqxmd.com/read/28333703/higher-fresh-gas-flow-rates-decrease-tidal-volume-during-pressure-control-ventilation
#10
Shazia Mohammad, Nikolaus Gravenstein, Drew Gonsalves, Terrie Vasilopoulos, Samsun Lampotang
BACKGROUND: We observed that increasing fresh gas flow (FGF) decreased exhaled tidal volume (VT) during pressure control ventilation (PCV). A literature search produced no such description whereby unintended VT changes occur with FGF changes during PCV. METHODS: To model an infant's lungs, 1 lung of a mechanical lung model (Dual Adult TTL 1600; Michigan Instruments, Inc, Grand Rapids, MI) was set at a compliance of 0.0068 L/cm H2O. An Rp50 resistor (27.2 cm H2O/L/s at 15 L/min) simulated normal bronchial resistance...
March 22, 2017: Anesthesia and Analgesia
https://www.readbyqxmd.com/read/28333644/random-forest-classifier-for-zero-shot-learning-based-on-relative-attribute
#11
Yuhu Cheng, Xue Qiao, Xuesong Wang, Qiang Yu
For the zero-shot image classification with relative attributes (RAs), the traditional method requires that not only all seen and unseen images obey Gaussian distribution, but also the classifications on testing samples are made by maximum likelihood estimation. We therefore propose a novel zero-shot image classifier called random forest based on relative attribute. First, based on the ordered and unordered pairs of images from the seen classes, the idea of ranking support vector machine is used to learn ranking functions for attributes...
March 21, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28333592/dc-algorithm-for-extended-robust-support-vector-machine
#12
Shuhei Fujiwara, Akiko Takeda, Takafumi Kanamori
Nonconvex variants of support vector machines (SVMs) have been developed for various purposes. For example, robust SVMs attain robustness to outliers by using a nonconvex loss function, while extended [Formula: see text]-SVM (E[Formula: see text]-SVM) extends the range of the hyperparameter by introducing a nonconvex constraint. Here, we consider an extended robust support vector machine (ER-SVM), a robust variant of E[Formula: see text]-SVM. ER-SVM combines two types of nonconvexity from robust SVMs and E[Formula: see text]-SVM...
March 23, 2017: Neural Computation
https://www.readbyqxmd.com/read/28333585/fast-estimation-of-approximate-matrix-ranks-using-spectral-densities
#13
Shashanka Ubaru, Yousef Saad, Abd-Krim Seghouane
Many machine learning and data-related applications require the knowledge of approximate ranks of large data matrices at hand. This letter presents two computationally inexpensive techniques to estimate the approximate ranks of such matrices. These techniques exploit approximate spectral densities, popular in physics, which are probability density distributions that measure the likelihood of finding eigenvalues of the matrix at a given point on the real line. Integrating the spectral density over an interval gives the eigenvalue count of the matrix in that interval...
March 23, 2017: Neural Computation
https://www.readbyqxmd.com/read/28333183/machine-learning-algorithms-for-objective-remission-and-clinical-outcomes-with-thiopurines
#14
Akbar K Waljee, Kay Sauder, Anand Patel, Sandeep Segar, Boang Liu, Yiwei Zhang, Ji Zhu, Ryan W Stidham, Ulysses Balis, Peter D R Higgins
Background and Aims: Big data analytics leverage patterns in data to harvest valuable information, but are rarely implemented in clinical care. Optimising thiopurine therapy for inflammatory bowel disease [IBD] has proved difficult. Current methods using 6-thioguanine nucleotide [6-TGN] metabolites have failed in randomized controlled trials [RCTs], and have not been used to predict objective remission [OR]. Our aims were to: 1) develop machine learning algorithms [MLA] using laboratory values and age to identify patients in objective remission on thiopurines; and 2) determine whether achieving algorithm-predicted objective remission resulted in fewer clinical events per year...
March 14, 2017: Journal of Crohn's & Colitis
https://www.readbyqxmd.com/read/28333123/objective-video-quality-assessment-based-on-machine-learning-for-underwater-scientific-applications
#15
José-Miguel Moreno-Roldán, Miguel-Ángel Luque-Nieto, Javier Poncela, Pablo Otero
Video services are meant to be a fundamental tool in the development of oceanic research. The current technology for underwater networks (UWNs) imposes strong constraints in the transmission capacity since only a severely limited bitrate is available. However, previous studies have shown that the quality of experience (QoE) is enough for ocean scientists to consider the service useful, although the perceived quality can change significantly for small ranges of variation of video parameters. In this context, objective video quality assessment (VQA) methods become essential in network planning and real time quality adaptation fields...
March 23, 2017: Sensors
https://www.readbyqxmd.com/read/28332447/the-effect-of-native-silk-fibroin-powder-on-the-physical-properties-and-biocompatibility-of-biomedical-polyurethane-membrane
#16
Yan Zhuang, Qian Zhang, Jinqi Feng, Na Wang, Weilin Xu, Hongjun Yang
Naturally derived fibers such as silk fibroin can potentially enhance the biocompatibility of currently used biomaterials. This study investigated the physical properties of native silk fibroin powder and its effect on the biocompatibility of biomedical polyurethane. Native silk fibroin powder with an average diameter of 3 µm was prepared on a purpose-built machine. A simple method of phase inversion was used to produce biomedical polyurethane/native silk fibroin powder hybrid membranes at different blend ratios by immersing a biomedical polyurethane/native silk fibroin powder solution in deionized water at room temperature...
April 2017: Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine
https://www.readbyqxmd.com/read/28332439/use-of-biopartitioning-micellar-chromatography-and-rp-hplc-for-the-determination-of-blood-brain-barrier-penetration-of-%C3%AE-adrenergic-imidazoline-receptor-ligands-and-qspr-analysis
#17
J Vucicevic, M Popovic, K Nikolic, S Filipic, D Obradovic, D Agbaba
For this study, 31 compounds, including 16 imidazoline/α-adrenergic receptor (IRs/α-ARs) ligands and 15 central nervous system (CNS) drugs, were characterized in terms of the retention factors (k) obtained using biopartitioning micellar and classical reversed phase chromatography (log kBMC and log kwRP, respectively). Based on the retention factor (log kwRP) and slope of the linear curve (S) the isocratic parameter (φ0) was calculated. Obtained retention factors were correlated with experimental log BB values for the group of examined compounds...
March 2017: SAR and QSAR in Environmental Research
https://www.readbyqxmd.com/read/28332438/quantitative-structure-activity-relationship-analysis-and-virtual-screening-studies-for-identifying-hdac2-inhibitors-from-known-hdac-bioactive-chemical-libraries
#18
H Pham-The, G Casañola-Martin, K Diéguez-Santana, N Nguyen-Hai, N T Ngoc, L Vu-Duc, H Le-Thi-Thu
Histone deacetylases (HDAC) are emerging as promising targets in cancer, neuronal diseases and immune disorders. Computational modelling approaches have been widely applied for the virtual screening and rational design of novel HDAC inhibitors. In this study, different machine learning (ML) techniques were applied for the development of models that accurately discriminate HDAC2 inhibitors form non-inhibitors. The obtained models showed encouraging results, with the global accuracy in the external set ranging from 0...
March 2017: SAR and QSAR in Environmental Research
https://www.readbyqxmd.com/read/28332342/evaluation-of-the-truebeam-machine-performance-check-mpc-geometric-checks-for-daily-igrt-geometric-accuracy-quality-assurance
#19
Michael P Barnes, Peter B Greer
Machine Performance Check (MPC) is an automated and integrated image-based tool for verification of beam and geometric performance of the TrueBeam linac. The aims of the study were to evaluate the performance of the MPC geometric tests relevant to OBI/CBCT IGRT geometric accuracy. This included evaluation of the MPC isocenter and couch tests. Evaluation was performed by comparing MPC to QA tests performed routinely in the department over a 4-month period. The MPC isocenter tests were compared against an in-house developed Winston-Lutz test and the couch compared against routine mechanical QA type procedures...
March 22, 2017: Journal of Applied Clinical Medical Physics
https://www.readbyqxmd.com/read/28332099/integrated-multisystem-analysis-in-a-mental-health-and-criminal-justice-ecosystem
#20
Erin Falconer, Tal El-Hay, Dimitris Alevras, John P Docherty, Chen Yanover, Alan Kalton, Yaara Goldschmidt, Michal Rosen-Zvi
BACKGROUND: Patients with a serious mental illness often receive care that is fragmented due to reduced availability of or access to resources, and inadequate, discontinuous, and uncoordinated care across health, social services, and criminal justice organizations. This article describes the creation of a multisystem analysis that derives insights from an integrated dataset including patient access to case management services, medical services, and interactions with the criminal justice system...
December 2017: Health & Justice
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