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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 ...
Fakhraei Shobeir S Medical Image Analysis Laboratory, Department of Radiology, Henry Ford Health System, Detroit, MI 48202, USA ; Department of Computer Science, University of Maryland, College Park, MD 20740, - - 2014
Feature rankings are often used for supervised dimension reduction especially when discriminating power of each feature is of interest, dimensionality of dataset is extremely high, or computational power is limited to perform more complicated methods. In practice, it is recommended to start dimension reduction via simple methods such as feature ...
Kevric Jasmin J Department of Electrical and Electronics Engineering, International Burch University, Sarajevo, 71000, Bosnia and Herzegovina, - - 2014
In this paper we describe the effect of Multiscale Principal Component Analysis (MSPCA) de-noising method in terms of epileptic seizure detection. In addition, we developed a patient-independent seizure detection algorithm using Freiburg EEG database. Each patient contains datasets called "ictal" and "interictal". Window length of 16 s was applied to extract ...
Jiang Peng P Aerospace and Mechanical Engineering Department, University of Arizona, Tucson, - - 2014
This article presents a study of three validation metrics used for the selection of optimal parameters of a support vector machine (SVM) classifier in the case of non-separable and unbalanced datasets. This situation is often encountered when the data is obtained experimentally or clinically. The three metrics selected in this ...
Walker William W Virginia Commonwealth University, Physical Medicine & Rehabilitation , MCV Box 677 , Richmond, Virginia, United States, 23298 ; - - 2014
The existing gold standard for diagnosing a suspected prior mild Traumatic Brain Injury (mTBI) is clinical interview. But it is prone to bias, especially for parsing the physical versus psychological effects of traumatic combat events, and its interrater reliability is unknown. Several standardized TBI interview instruments have been developed for ...
Tavassoli Najmeh - - 2014
We introduce a fast computational method for feature selection that facilitates the accurate spectral analysis of a chemical species of interest in the presence of overlapping uncorrelated variance. Using a genetic algorithm in a data-driven approach, our method assigns predictors according to a template determined to minimize prediction variance in ...
Vezenegho Samuel B - - 2014
In French Guiana, Mosquito Magnet(R) Liberty Plus trap baited with octenol (MMoct) has been proposed for sampling Anopheles darlingi after comparison with CDC light trap and Human landing catch (HLC). However, other available lures were not tested. The current study compared MMoct and MM baited with LurexTM (MMlur) to HLC, ...
Liu Yong - - 2014
Feature selection tries to find a subset of feature from a larger feature pool and the selected subset can provide the same or even better performance compared with using the whole set. Feature selection is usually a critical preprocessing step for many machine-learning applications such as clustering and classification. In ...
Afsari Bahman B Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, School of Medicine, Johns Hopkins University, Baltimore, MD 21205 - - 2014
k-Top scoring pairs (kTSP) is a classification method for prediction from high throughput data based on a set of the paired measurements. Each of the two possible orderings of a pair of measurements (e.g., a reversal in the expression of two genes) is associated with one of two classes. The ...
Dundar Murat - - 2014
Flow cytometry (FC)-based computer-aided diagnostics is an emerging technique utilizing modernmultiparametric cytometry systems.The major difficulty in using machine-learning approaches forclassification of FC data arises from limited access to a wide variety of anomalous samples for training.In consequence, any learning with an abundance of normal cases and a limited set of ...
Flatland Bente B Department of Biomedical and Diagnostic Sciences, College of Veterinary Medicine, University of Tennessee, Knoxville, TN, - - 2014
Prior to introduction of a new method to the diagnostic laboratory, analytical performance must be validated to ensure operation within the manufacturer's specifications and/or within predetermined quality requirements. In addition, the new method may require diagnostic performance assessment to ensure it differentiates between diseased and nondiseased individuals as intended. These ...
Topper Nicholas C NC McKnight Brain Institute, Department of Neuroscience University of Florida, Gainesville, FL 32610, United - - 2014
Current methods for aligning neurophysiology and video data are either prepackaged, requiring the additional purchase of a software suite, or use a blinking LED with a stationary pulse-width and frequency. These methods lack significant user interface for adaptation, are expensive, or risk a misalignment of the two data streams. A ...
Samiee Kaveh - - 2014
A system for epileptic seizure detection in Electroencephalography (EEG) is described in the paper. One of the challenges is to distinguish rhythmic discharges from nonstationary patterns occurring during seizures. The proposed approach is based on an adaptive and localized time-frequency representation of EEG signals by means of rational functions. The ...
Rodriguez-Diaz Eladio E Department of Medicine, Section of Gastroenterology, Boston University School of Medicine, College of Engineering, Boston University, Boston, Massachusetts, USA; VA Boston Healthcare System, Department of Biomedical Engineering, College of Engineering, Boston University, Boston, Massachusetts, - - 2014
Elastic-scattering spectroscopy (ESS) can assess in vivo and in real-time the scattering and absorption properties of tissue related to underlying pathologies. To evaluate the potential of ESS for differentiating neoplastic from non-neoplastic polyps during colonoscopy. Pilot study, retrospective data analysis. Academic practice. A total of 83 patients undergoing screening/surveillance colonoscopy. ESS ...
Pérez-Losada Marcos M CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Rua Padre Armando Quintas 7, Universidade do Porto, Campus Agrário de Vairão, Vairão 4485-661, Portugal; Computational Biology Institute, George Washington University, Ashburn, VA 20147, USA; Department of Invertebrate Zoology, US National Museum of Natural History, Smithsonian Institution, Washington, DC 20013, USA. Electronic address: - - 2014
The Balanomorpha are the largest group of barnacles and rank among the most diverse, commonly encountered and ecologically important marine crustaceans in the world. Paradoxically, despite their relevance and extensive study for over 150 years, their evolutionary relationships are still unresolved. Classical morphological systematics was often based on non-cladistic approaches, ...
Maji Pradipta - - 2014
One of the important problems in pattern recognition, machine learning, and data mining is the dimensionality reduction by attribute or feature selection. In this regard, this paper presents a feature selection method, based on interval type-2 (IT2) fuzzy-rough sets, where the features are selected by maximizing both relevance and significance ...
Prakash Amol - - 2014
Data dependent acquisition (DDA) and data independent acquisition strategies (DIA) have both resulted in improved understanding of proteomics samples. Both strategies have advantages and disadvantages that are well published with DDA known for deep discovery and DIA may be used to create sample records. In this report, we present a ...
Ching Travers T University of Hawaii Cancer Center, Honolulu, Hawaii 96813, USA Graduate Program of Molecular Biosciences and Bioengineering, University of Hawaii-Manoa, Honolulu, Hawaii 96822, - - 2014
It is crucial for researchers to optimize RNA-seq experimental designs for differential expression detection. Currently, the field lacks general methods to estimate power and sample size for RNA-Seq in complex experimental designs, under the assumption of the negative binomial distribution. We simulate RNA-Seq count data based on parameters estimated from ...
Li Jing J State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China School of Information Engineering, Nanchang University, Nanchang, - - 2014
We carried out a series of statistical experiments to explore the utility of using relevance feedback on electroencephalogram (EEG) data to distinguish between different activity states in human absence epilepsy. EEG recordings from 10 patients with absence epilepsy are sampled, filtered, selected, and dissected from seizure-free, preseizure, and seizure phases. ...
Seida Jennifer J Department of Pediatrics, Alberta Research Centre for Health Evidence and the University of Alberta Evidence-Based Practice Center, University of Alberta, 4-472 ECHA, 11405-87 Avenue, Edmonton, Alberta, Canada T5G - - 2014
To evaluate (1) how often observational studies are included in comparative effectiveness reviews (CERs); (2) the rationale for including observational studies; (3) how data from observational studies are appraised, analyzed, and graded; and (4) the impact of observational studies on strength of evidence (SOE) and conclusions. Descriptive study of 23 ...
Normey-Rico Julio E JE Departamento de Automação e Sistemas, Universidade Federal de Santa Catarina, 88040-900 Florianópolis, SC, Brazil. Electronic address: - - 2014
This paper proposes a dead-time compensation structure for processes with multiple dead times. The controller is based on the filtered Smith predictor (FSP) dead-time compensator structure and it is able to control stable, integrating, and unstable processes with multiple input/output dead times. An equivalent model of the process is first ...
Watts K Shawn - - 2014
Sampling low energy conformations of macrocycles is challenging due to the large size of many of these molecules and the constraints imposed by the macrocycle. We present a new conformational search method (implemented in MacroModel) that uses brief MD simulations followed by minimization and normal-mode search steps. The method was ...
Mumford Jeanette A JA Waisman Laboratory for Brain Imaging and Behavior and Center for Investigating Healthy Minds, University of Wisconsin-Madison, WI, USA. Electronic address: - - 2014
A prerequisite for a pattern analysis using functional magnetic resonance imaging (fMRI) data is estimating the patterns from time series data, which then are input into the pattern analysis. Here we focus on how the combination of study design (order and spacing of trials) with pattern estimator impacts the Type ...
Shou Guofa G School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK, - - 2014
The present study aimed to investigate the sensitivity of independent component analysis (ICA)- and channel-based methods in detecting electroencephalography (EEG) spatial-spectral-temporal signatures of performance errors. 128-channel EEG signals recorded from 18 subjects, who performed a color-word matching Stroop task, were analyzed. The spatial-spectral-temporal patterns in event-related potentials (ERPs) and oscillatory ...
Cheng Ying Y Department of Psychology, University of Notre Dame, 118 Haggar Hall, Notre Dame, IN, 46556, USA, - - 2014
While estimation bias is a primary concern in psychological and educational measurement, the standard error is of equal importance in linking key aspects of the assessment structure, especially when the assessment goal concerns the classification of individuals into categories (e.g., master/non-mastery). In this paper, we show analytically how standard error ...
Houniet D T DT Oxford Gene Technology, Begbroke Science Park, Oxford, Oxfordshire, OX5 1PF, UK. - - 2014
During the past four years whole exome sequencing has become a standard tool for finding rare variants causing Mendelian disorders. In that time there has also been a proliferation of both sequencing platforms and approaches to analyse their output. This requires approaches to assess the performance of different methods. Traditionally ...
Chen Yuxiang Y Department of Molecular Structural Biology, Max-Planck Institute of Biochemistry, Am Klopferspitz 18, 82152 Martinsried, Germany; Computer Aided Medical Procedures (CAMP), Technische Universität München, Boltzmannstrasse 3, 85748 Garching, - - 2014
Classification of subtomograms obtained by cryoelectron tomography (cryo-ET) is a powerful approach to study the conformational landscapes of macromolecular complexes in situ. Major challenges in subtomogram classification are the low signal-to-noise ratio (SNR) of cryo-tomograms, their incomplete angular sampling, the unknown number of classes and the typically unbalanced abundances of structurally ...
Wang Ning - - 2014
This paper presents compact yet comprehensive feature representations for the Electroencephalogram (EEG) signal to achieve efficient epileptic seizure prediction performance. The initial EEG feature vectors are formed by acquiring the dominant amplitude and frequency components on an epoch-by-epoch basis from the EEG signals. These extracted parameters can reveal the intrinsic ...
Dodds Ken G - - 2014
BackgroundTwo genetic marker-based methods are compared for the use in breed prediction, using a New Zealand sheep resource. The methods were a genomic selection (GS) method, using genomic BLUP, and a regression method (Regp) using the allele frequencies estimated from a subset of purebred animals. Four breed proportions, Romney, Coopworth, ...
Tomida Naoki - - 2014
Rejecting or selecting data from multiple trials of electroencephalography (EEG) recordings is crucial. We propose a sparsity-aware method to data selection from a set of multiple EEG recordings during motor-imagery tasks, aiming at brain machine interfaces (BMIs). Instead of empirical averaging over sample covariance matrices for multiple trials including lowquality ...
Wei Leyi - - 2014
Protein structural classes information is beneficial for secondary and tertiary structure prediction, protein folds prediction, and protein function analysis. Thus, predicting protein structural classes is of vital importance. In recent years, several computational methods have been developed for low-sequence-similarity (25% - 40%) protein structural classes prediction. However, the reported prediction ...
Cheung Carol C CC 1] Department of Pathology, Laboratory Medicine Program, University Health Network, Toronto, ON, Canada [2] Department of Laboratory Medicine and Pathobiology, Faculty of Medicine, University of Toronto, Toronto, ON, - - 2014
Pathologists provide diagnoses relevant to the disease state of the patient and identify specific tissue characteristics relevant to response to therapy and prognosis. As personalized medicine evolves, there is a trend for increased demand of tissue-derived parameters. Pathologists perform increasingly complex analyses on the same 'cases'. Traditional methods of workload ...
Moolchandani Vikas V School of Pharmacy, University of Maryland , Baltimore, MD , USA - - 2014
Abstract The purpose of this work is to characterize thermal, physical and mechanical properties of different grades of lactose and better understand the relationships between these properties and capsule filling performance. Eight grades of commercially available lactose were evaluated: Pharmatose 110 M, 125 M, 150 M, 200 M, 350 M (α-lactose monohydrate), AL (anhydrous lactose ...
Tuccinardi Tiziano - - 2014
Molecular docking strategy is one of the most wide used techniques for predicting the binding mode of a ligand and for obtaining new hits in virtual screening studies. In order to improve the accuracy of this approach, we tested the reliability of applying a consensus docking protocol by combining ten ...
Neto David D DD Faculdade de Psicologia, Universidade de Lisboa, Portugal; The School of Health and Related Research, University of Sheffield, - - 2014
Assimilation is an important process in understanding change in psychotherapy. Similar to other psychological processes, assimilation may be traceable in the speech of clients by attending to its signs or indices. In the present research, we aimed to build a system of indices of assimilation. This research follows a mixed ...
Alharbi Bader A BA Thomas H. Gosnell School of Life Sciences, Rochester Institute of Technology, Rochester, NY 14623, - - 2014
Nucleosome positioning is critical for gene expression and of major biological interest. The high cost of experimentally mapping nucleosomal arrangement signifies the need for computational approaches to predict nucleosome positions at high resolution. Here, we present a web-based application to fulfill this need by implementing two models, YR and W/S ...
Huang A A Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, - - 2014
In multiple quantitative trait locus (QTL) mapping, a high-dimensional sparse regression model is usually employed to account for possible multiple linked QTLs. The QTL model may include closely linked and thus highly correlated genetic markers, especially when high-density marker maps are used in QTL mapping because of the advancement in ...
Chen Zhen - - 2014
Protein ubiquitination is one of the most important reversible post-translational modifications (PTMs). In many biochemical, pathological and pharmaceutical studies on understanding the function of proteins in biological processes, identification of ubiquitination sites is an important first step. However, experimental approaches for identifying ubiquitination sites are often expensive, labor-intensive and time-consuming, ...
Mederos A A National Research Institute for Agriculture, Uruguay; Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, Canada. Electronic address: - - 2014
A study was conducted in sheep on Canadian farms to describe the relationship between packed cell volume (PCV) or fecal egg counts (FEC) and subjective clinical parameters that may indicate the severity of parasitic gastroenteritis. Twenty-one farms in Ontario (ON) and 8 farms in Quebec (QC) were purposively selected and ...
Thuiller Wilfried W Univ. Grenoble Alpes, Laboratoire d'Écologie Alpine (LECA), F-38000, Grenoble, France; CNRS, Laboratoire d'Écologie Alpine (LECA), F-38000, Grenoble, - - 2014
The need for anticipating and mitigating the potential effects of climate change on biodiversity has triggered the development of predictive tools to provide quantitative scenarios to guide decision making (Pereira et al., 2010). Notably, the recently established 'Intergovernmental Platform on Biodiversity and Ecosystem Services' (IPBES) will rely on these predictive tools. ...
Quinn Jamie M JM Florida State - - 2014
The present study followed a sample of first-grade (N = 316, Mage  = 7.05 at first test) through fourth-grade students to evaluate dynamic developmental relations between vocabulary knowledge and reading comprehension. Using latent change score modeling, competing models were fit to the repeated measurements of vocabulary knowledge and reading comprehension to test for ...
Ganjtabesh Mohammad M Department of Computer Science, School of Mathematics Statistics and Computer Science, University of Tehran, Tehran, Iran. Electronic address: - - 2014
Motivation: Interaction of two RNA molecules is considered as an important factor that regulates gene expression post-transcriptional process. Most of the ncRNAs prevent the translation of their target mRNA(s) by forming stable bindings with them. Although several computational methods have been proposed to predict the interactions between two RNAs, none ...
Rivas-Perea Pablo - - 2014
Leukocoria is defined as a white reflection from the retina of the eye and its manifestation is symptomatic of several ocular pathologies, including retinoblastoma (Rb). Early detection of recurrent leukocoria is critical for improved patient outcomes and can be accomplished via the examination of recreational photography. To date, there exists ...
Eng Simon W M SW University of Toronto, Toronto, Ontario, Canada; The Hospital for Sick Children, Toronto, Ontario, - - 2014
Objective. Childhood arthritis encompasses a heterogeneous family of diseases. Significant variation in clinical presentation remains despite consensus-driven diagnostic classifications. Developments in data analysis provide powerful tools for interrogating large heterogeneous datasets. We report a novel approach to integrate biologic and clinical data towards a new classification for childhood arthritis, employing ...
Altomare Cristina C Laboratory for Biomedical Informatics "Mario Stefanelli", Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Via Ferrata 1, 27100 Pavia, Italy. Electronic address: - - 2014
In high precision photon radiotherapy and in hadrontherapy, it is crucial to minimize the occurrence of geometrical deviations with respect to the treatment plan in each treatment session. To this end, point-based infrared (IR) optical tracking for patient set-up quality assessment is performed. Such tracking depends on external fiducial points ...
Moreno-Bote Rubén R 1] Research Unit, Parc Sanitari Sant Joan de Déu and Universitat de Barcelona, Esplugues de Llobregat, Barcelona, Spain. [2] Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Esplugues de Llobregat, Barcelona, - - 2014
Computational strategies used by the brain strongly depend on the amount of information that can be stored in population activity, which in turn strongly depends on the pattern of noise correlations. In vivo, noise correlations tend to be positive and proportional to the similarity in tuning properties. Such correlations are ...
Roy Kunal - - 2014
The central axiom of science purports the explanation of every natural phenomenon using all possible logics coming from pure as well as mixed scientific background. The quantitative structure-activity relationship (QSAR) analysis is a study correlating the behavioral manifestation of compounds with their structures employing the interdisciplinary knowledge of chemistry, mathematics, ...
Jiang Cheng C Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, - - 2014
The step of enriching and purifying saponins by macroporous resin column chromatography is closely related to the safety and efficacy of Panax notoginseng products during their manufacturing processes. Adsorption process is one of the most critical unit operations within each chromatographic cycle. In order to understand the adsorption process directly, ...
Lee George - - 2014
In this work, we present a new methodology to facilitate prediction of recurrent prostate cancer (CaP) following radical prostatectomy (RP) via the integration of quantitative image features and protein expression extracted from the excised prostate. Creating a fused predictor from big data streams comprised of thousands of dimensions is challenged ...
Edward Jero S S Department of Engineering Design, Indian Institute of Technology Madras, Chennai, India, - - 2014
ECG Steganography provides secured transmission of secret information such as patient personal information through ECG signals. This paper proposes an approach that uses discrete wavelet transform to decompose signals and singular value decomposition (SVD) to embed the secret information into the decomposed ECG signal. The novelty of the proposed method ...
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