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Viti Carlo C Dipartimento di Scienze delle Produzioni Agroalimentari e dell'Ambiente (DISPAA), University of Florence, P.le delle Cascine, 24, Florence, 50144, Italy, - - 2015
Standard protocols are available in order to apply Phenotype MicroArray (PM) technology to characterize different groups of microorganisms. Nevertheless, there is the need to pay attention to several crucial steps in order to obtain high-quality and reproducible data from PM, such as the choice of the Dye mix, the type ...
Priyadarshana Madawa M Faculty of Science, Department of Statistics, Macquarie University, Sydney, NSW, 2109, Australia, - - 2015
Array comparative genomic hybridization (aCGH) is one of the techniques that can be used to detect copy number variations in DNA sequences in high resolution. It has been identified that abrupt changes in the human genome play a vital role in the progression and development of many complex diseases. In ...
Liou Der-Ming DM Yang Ming University, No 155, Sec. 2, Li-Nong St., Taipei, 112, Taiwan R.O.C., - - 2015
Data mining, also known as Knowledge-Discovery in Databases (KDD), is the process of automatically searching large volumes of data for patterns. For instance, a clinical pattern might indicate a female who have diabetes or hypertension are easier suffered from stroke for 5 years in a future. Then, a physician can ...
Cao Houwei H Department of Radiology, Section of Biomedical Image Analysis, University of Pennsylvania, 3600 Market Street, Suite 380, Philadelphia, PA 19104, United - - 2015
We introduce a ranking approach for emotion recognition which naturally incorporates information about the general expressivity of speakers. We demonstrate that our approach leads to substantial gains in accuracy compared to conventional approaches. We train ranking SVMs for individual emotions, treating the data from each speaker as a separate query, ...
Knight Jason M - - 2014
BackgroundSequencing datasets consist of a finite number of reads which map to specific regions of a reference genome. Most effort in modeling these datasets focuses on the detection of univariate differentially expressed genes. However, for classification, we must consider multiple genes and their interactions.ResultsThus, we introduce a hierarchical multivariate Poisson ...
Patadia Vaishali K VK Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands, - - 2014
Background Electronic reporting and processing of suspected adverse drug reactions (ADRs) is increasing and has facilitated automated screening procedures. It is crucial for healthcare professionals to understand the nature and proper use of data available in pharmacovigilance practice. Objectives To (a) compare performance of EU-ADR [electronic healthcare record (EHR) exemplar] ...
Henriques J J Laboratoire de Mathématiques de Besançon, Besançon, France Cegos Deployment, Besançon, - - 2014
Recent studies have evidenced serious difficulties in detecting covert awareness with electroencephalography-based techniques both in unresponsive patients and in healthy control subjects. This work reproduces the protocol design in two recent mental imagery studies with a larger group comprising 20 healthy volunteers. The main goal is assessing if modifications in ...
Wang Tai-Ran TR Chair on Systems Science and the Energy Challenge, European Foundation for New Energy-Electricité de France, Ecole Centrale Paris and Supélec, Chatenay Malabry Cedex, - - 2014
In this article, a classification model based on the majority rule sorting (MR-Sort) method is employed to evaluate the vulnerability of safety-critical systems with respect to malevolent intentional acts. The model is built on the basis of a (limited-size) set of data representing (a priori known) vulnerability classification examples. The ...
Masica David L DL Department of Biomedical Engineering and Institute for Computational Medicine, The Johns Hopkins University, Baltimore, - - 2014
Predicting the impact of genetic variation on human health remains an important and difficult challenge. Often, algorithmic classifiers are tasked with predicting binary traits (e.g., positive or negative for a disease) from missense variation. Though useful, this arrangement is limiting and contrived, because human diseases often comprise a spectrum of ...
Fuchs Michael M Department of Applied Mathematics, National Chiao Tung University, Hsinchu, 300, - - 2014
The Shapley value and the fair proportion index of phylogenetic trees have been introduced recently for the purpose of making conservation decisions in genetics. Moreover, also very recently, Hartmann (J Math Biol 67:1163-1170, 2013) has presented data which shows that there is a strong correlation between a slightly modified version ...
Louf Rémi R Institut de Physique Théorique, CEA, CNRS-URA 2306, Gif-sur-Yvette 91191, France - - 2014
We propose a quantitative method to classify cities according to their street pattern. We use the conditional probability distribution of shape factor of blocks with a given area and define what could constitute the 'fingerprint' of a city. Using a simple hierarchical clustering method, these fingerprints can then serve as ...
Cassotti M M a Department of Earth and Environmental Sciences , University of Milano-Bicocca , Milan , - - 2014
Quantitative structure-activity relationship (QSAR) models for predicting acute toxicity to Daphnia magna are often associated with poor performances, urging the need for improvement to meet REACH requirements. The aim of this study was to evaluate the accuracy, stability and reliability of a previously published QSAR model by means of further ...
Shen Shihao S Departments of Microbiology, Immunology, & Molecular Genetics - - 2014
Ultra-deep RNA sequencing (RNA-Seq) has become a powerful approach for genome-wide analysis of pre-mRNA alternative splicing. We previously developed multivariate analysis of transcript splicing (MATS), a statistical method for detecting differential alternative splicing between two RNA-Seq samples. Here we describe a new statistical model and computer program, replicate MATS (rMATS), ...
Kushki Azadeh - - 2014
Objective: Anxiety is associated with physiological changes that can be non-invasively measured using inexpensive and wearable sensors. These changes provide an objective and language-free measure of arousal associated with anxiety, which can complement treatment programs for clinical populations who have difficulty with introspection, communication, and emotion recognition. This motivates the ...
Sundarrajan Anusha A Department of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, - - 2014
Phonation threshold pressure (PTP) is a voice measure used in both research and clinic. PTP data analysis is susceptible to bias from investigator awareness of experimental hypothesis, and poor investigator training. The objective of this study was to systematically examine the role of these two biases on PTP data analysis. ...
Flight Laura L Medical Statistics Group, University of Sheffield, Sheffield, - - 2014
It is often of interest to measure the agreement between a number of raters when an outcome is nominal or ordinal. The kappa statistic is used as a measure of agreement. The statistic is highly sensitive to the distribution of the marginal totals and can produce unreliable results. Other statistics ...
Ravens Ursula U Department of Pharmacology and Toxicology, Medical Faculty Carl Gustav Carus, TU Dresden, Dresden, Germany, - - 2014
Ex vivo recorded action potentials (APs) in human right atrial tissue from patients in sinus rhythm (SR) or atrial fibrillation (AF) display a characteristic spike-and-dome or triangular shape, respectively, but variability is huge within each rhythm group. The aim of our study was to apply the machine-learning algorithm ranking instances ...
Wishart Gordon C - - 2014
PREDICT (www.predict.nhs.uk) is a prognostication and treatment benefit tool for early breast cancer (EBC). The aim of this study was to incorporate the prognostic effect of KI67 status in a new version (v3), and compare performance with the Predict model that includes HER2 status (v2). The validation study was based ...
Breivik Kyrre K Regional Centre for Child and Adolescent Mental Health and Welfare, Uni Research Health, - - 2014
In the present article, we used IRT (graded response) modeling as a useful technology for a detailed and refined study of the psychometric properties of the various items of the Olweus Bullying scale and the scale itself. The sample consisted of a very large number of Norwegian 4th-10th grade students ...
Johnson Timothy C TC Subsurface Insights, LLC, Hanover, NH - - 2014
Biostimulation is increasingly used to accelerate microbial remediation of recalcitrant groundwater contaminants. Effective application of biostimulation requires successful emplacement of amendment in the contaminant target zone. Verification of remediation performance requires postemplacement assessment and contaminant monitoring. Sampling-based approaches are expensive and provide low-density spatial and temporal information. Time-lapse electrical resistivity ...
Beaulieu Jean - - 2014
Genomic selection (GS) may improve selection response over conventional pedigree-based selection if markers capture more detailed information than pedigrees in recently domesticated tree species and/or make it more cost effective. Genomic prediction accuracies using 1748 trees and 6932 SNPs representative of as many distinct gene loci were determined for growth ...
Ng Wing W Y - - 2014
Undersampling is a widely adopted method to deal with imbalance pattern classification problems. Current methods mainly depend on either random resampling on the majority class or resampling at the decision boundary. Random-based undersampling fails to take into consideration informative samples in the data while resampling at the decision boundary is ...
Fan Xiao - - 2014
MicroRNAs (miRNAs) are short endogenous noncoding RNAs that bind to target mRNAs, usually resulting in degradation and translational repression. Identification of miRNA targets is crucial for deciphering functional roles of the numerous miRNAs that are rapidly generated by sequencing efforts. Computational prediction methods are widely used for high-throughput generation of ...
Lima Eduardo A EA Department of Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts. 02139, USA ; Vanderbilt Institute for Integrative Biosystems Research and Education, Vanderbilt University, Nashville, Tennessee. 37235, - - 2014
Multianalyte microphysiometry is a powerful technique for studying cellular metabolic flux in real time. Monitoring several analytes concurrently in a number of individual chambers, however, requires specific instrumentation that is not available commercially in a single, compact, benchtop form at an affordable cost. We developed a multipotentiostat system capable of ...
Park Sang Hyuk SH Department of Laboratory Medicine, University of Ulsan College of Medicine and Asan Medical Center, Seoul, South - - 2014
We developed and validated an interinstrument comparison method for automatic hematology analyzers based on the 99th percentile coefficient of variation (CV) cutoff of daily means and validated in both patient samples and quality control (QC) materials. A total of 120 patient samples were obtained over 6 months. Data from the ...
Wang Jing - - 2014
Sparse representation (or coding)-based classification (SRC) has gained great success in face recognition in recent years. However, SRC emphasizes the sparsity too much and overlooks the correlation information which has been demonstrated to be critical in real-world face recognition problems. Besides, some paper considers the correlation but overlooks the discriminative ...
Bi Wei - - 2014
In hierarchical classification, the output labels reside on a tree- or directed acyclic graph (DAG)-structured hierarchy. On testing, the prediction paths of a given test example may be required to end at leaf nodes of the label hierarchy. This is called mandatory leaf node prediction (MLNP) and is particularly useful, ...
Wei Wei - - 2014
Sensitivity analysis (SA) is a significant tool for studying the robustness of results and their sensitivity to uncertainty factors in Life Cycle Assessment (LCA). It highlights the most important set of model parameters to determine whether data quality needs to be improved, and to enhance interpretation of results. Interactions within ...
Szafranski Szymon P SP Microbial Communication Research Group, Department of Molecular Infection Biology, Helmholtz-Centre for Infection Research (HZI), Braunschweig, - - 2014
The oral microbiome plays a key role for caries, periodontitis and systemic diseases. A method for rapid, high resolution, robust taxonomic profiling of subgingival bacterial communities for early detection of periodontitis biomarkers would therefore be a useful tool for individualized medicine. Here we used Illumina sequencing of the V1-V2 and ...
Moulos Panagiotis P Biomedical Sciences Research Center 'Alexander Fleming', 34 Fleming str, 16672, Vari, Greece - - 2014
RNA-Seq is gradually becoming the standard tool for transcriptomic expression studies in biological research. Although considerable progress has been recorded in the development of statistical algorithms for the detection of differentially expressed genes using RNA-Seq data, the list of detected genes can differ significantly between algorithms. We present a new ...
Gavryushkina Alexandra A Department of Computer Science, University of Auckland, Auckland, New Zealand; Allan Wilson Centre for Molecular Ecology and Evolution, Massey University, Palmerston North, New - - 2014
Phylogenetic analyses which include fossils or molecular sequences that are sampled through time require models that allow one sample to be a direct ancestor of another sample. As previously available phylogenetic inference tools assume that all samples are tips, they do not allow for this possibility. We have developed and ...
Rajčević Nemanja N University of Belgrade, Faculty of Biology, Institute of Botany and Botanical Garden 'Jevremovac', Studentski trg 16, RS-11000 Belgrade. - - 2014
The composition of the epicuticular n-alkanes isolated from the leaves of ten populations of Juniperus communis L. var. saxatilis Pallas from central (continental) and western (coastal) areas of the Balkan Peninsula was characterized by GC-FID and GC/MS analyses. In the leaf waxes, 14 n-alkane homologues with chain-lengths ranging from C22 ...
Gillani Zeeshan - - 2014
BackgroundPredication of gene regularity network (GRN) from expression data is a challenging task. There are many methods that have been developed to address this challenge ranging from supervised to unsupervised methods. Most promising methods are based on support vector machine (SVM). There is a need for comprehensive analysis on prediction ...
Truntzer Caroline - - 2014
BackgroundThe identification of new diagnostic or prognostic biomarkers is one of the main aims of clinical cancer research. Technologies like mass spectrometry are commonly being used in proteomic research. Mass spectrometry signals show the proteomic profiles of the individuals under study at a given time. These profiles correspond to the ...
Ferguson Eamonn - - 2014
BackgroundTo enhance the non-technical skills (NTS) assessment literature by developing a reliable and valid peer and self-assessment tool for NTS in a simulated ward setting to include emotional reactions: the Temporal Rating of Emergency Non-Technical skills (TRENT) Index. The paper aims to document (1) the psychometric properties of the TRENT ...
Mok Magdalena M C MM The Hong Kong Institute of Education, Tai Po, New Territories, Hong - - 2014
A number of methods to investigate growth have been reported in the literature, including hierarchical linear modelling (HLM), latent growth modelling (LGM), and multidimensional scaling applied to longitudinal profile analysis (LPAMS). This study aimed at modelling the mathematics growth of students over a span of 6 years from Grade 3 to ...
Liu Xiaoqing - - 2014
Discriminative pattern mining is one of the most important techniques in data mining. This challenging task is concerned with finding a set of patterns that occur with disproportionate frequency in data sets with various class labels. Such patterns are of great value for group difference detection and classifier construction. Research ...
Núñez-Batalla Faustino F Servicio de Otorrinolaringología, Hospital Universitario Central de Asturias, Oviedo, España. Electronic address: - - 2014
The Consensus Auditory-Perceptual Evaluation of Voice (CAPE-V) was developed.to promote a standardised approach to evaluating and documenting auditory perceptual judgments of vocal quality. This tool was originally developed in English language and its Spanish version is still inexistent. The aim of this study was to develop a Spanish adaptation of ...
Ozcelik Onur O Professor, Department of Periodontology, Cukurova University, Adana, - - 2014
Background: The aim of this study was to evaluate the reliability of the avascular exposed root surface area (AERSA) as a prognostic test for gingival recessions and to compare the predictive value of the avascular root surface area calculation and Miller classification on the final root coverage outcomes. Methods: Ninety ...
Ding Han H College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, PR China. Electronic address: - - 2014
The objective of this paper is to test the effectiveness and adaptability of speed reduction markings (SRMs) in downhill sections on urban roads with distinct roadway grades. Empirical data including vehicle speed and acceleration were collected in a driving simulator. Subjective questionnaires were conducted, and two indexes - the relative ...
Soldatova Larisa N - - 2014
The reliability and reproducibility of experimental procedures is a cornerstone of scientific practice. There is a pressing technological need for the better representation of biomedical protocols to enable other agents (human or machine) to better reproduce results. A framework that ensures that all information required for the replication of experimental ...
Potts Alain Segundo AS Federal University of ABC, Santo André, SP 09210-580, Brazil. Electronic address: - - 2014
A method is proposed to detect if there is no coupling between an input and an output in systems operating in open-loop, that is, without a supervisory controller. The proposed technique is applicable to multiple input multiple output (MIMO) systems, whose intent is to detect no-model input/output (IO) combinations in ...
Zhang Chao C College of Nursing, University of Nebraska Medical Center , Omaha, NE , USA - - 2014
Abstract The primary aim of this study was to decrease the subjectivity of the Team Performance Observation Tool (TPOT) and determine the psychometric properties of this tool when using scenario-specific targeted behavioral markers (TBMs). We used a convenience sample of 47 physical therapy and 25 nursing students at an academic ...
Marini C C DISTAV, Università di Genova, Corso Europa 26, 16132 Genova, Italy; Acquario di Genova, Area Porto Antico-Ponte Spinola, 16128 Genova, Italy. Electronic address: - - 2014
Habitat modeling is an important tool to investigate the quality of the habitat for a species within a certain area, to predict species distribution and to understand the ecological processes behind it. Many species have been investigated by means of habitat modeling techniques mainly to address effective management and protection ...
Colquitt Jason A - - 2014
Although justice scholars often assume that individuals react to injustice in a manner that is distinct from their reactions to justice, few studies have examined this assumption. Indeed, the most widely utilized measures in the literature assess only the adherence to rules of justice-not their violation. We conducted 2 studies ...
Steinauer Michelle Lynn ML a Western University of Health Sciences, Department of Basic Medical Sciences, Oregon State - - 2014
Abstract Five new species of Leptorhynchoides from the southeastern United States are described. These new species were once part of the Leptorhynchoides thecatus complex of species that was previously recognized based on DNA sequence data. Multivariate morphometric analysis including discriminant function analysis and decision tree analysis indicated that each of ...
Marcelo M C A MC Instituto de Química, Universidade Federal do Rio Grande do Sul, - - 2014
In this article, five hundred and thirteen cocaine seizures of the State of Rio Grande do Sul (Brazil) were analyzed by Fourier transform infrared spectroscopy (FT-IR) in the fingerprint region (1800-650cm(-1)) to profiling and evaluate the pharmaceutical products used as adulterants. Hierarchical cluster analysis (HCA) and principal component analysis (PCA) ...
Singh Omkar O Department of Electronics and Communication Engineering, National Institute of Technology Jalandhar , - - 2014
Abstract Separating an information-bearing signal from the background noise is a general problem in signal processing. In a clinical environment during acquisition of an electrocardiogram (ECG) signal, The ECG signal is corrupted by various noise sources such as powerline interference (PLI), baseline wander and muscle artifacts. This paper presents novel ...
Zhang Zhiyong Z Department of Chemical Physics, Weizmann Institute of Science, Rehovot 76100, - - 2014
Speeding up the acquisition of multidimensional nuclear magnetic resonance (NMR) spectra is an important topic in contemporary NMR, with central roles in high-throughput investigations and analyses of marginally stable samples. A variety of fast NMR techniques have been developed, including methods based on non-uniform sampling and Hadamard encoding, that overcome ...
Zhang Le - - 2014
A new approach to generate oblique decision tree ensemble is proposed wherein each decision hyperplane in the internal node of tree classifier is not always orthogonal to a feature axis. All training samples in each internal node are grouped into two hyper-classes according to their geometric properties based on a ...
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