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https://www.readbyqxmd.com/read/28811820/modified-mahalanobis-taguchi-system-for-imbalance-data-classification
#1
Mahmoud El-Banna
The Mahalanobis Taguchi System (MTS) is considered one of the most promising binary classification algorithms to handle imbalance data. Unfortunately, MTS lacks a method for determining an efficient threshold for the binary classification. In this paper, a nonlinear optimization model is formulated based on minimizing the distance between MTS Receiver Operating Characteristics (ROC) curve and the theoretical optimal point named Modified Mahalanobis Taguchi System (MMTS). To validate the MMTS classification efficacy, it has been benchmarked with Support Vector Machines (SVMs), Naive Bayes (NB), Probabilistic Mahalanobis Taguchi Systems (PTM), Synthetic Minority Oversampling Technique (SMOTE), Adaptive Conformal Transformation (ACT), Kernel Boundary Alignment (KBA), Hidden Naive Bayes (HNB), and other improved Naive Bayes algorithms...
2017: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/28772182/evaluation-of-an-electronic-nose-for-odorant-and-process-monitoring-of-alkaline-stabilized-biosolids-production
#2
Adrian Romero-Flores, Laura L McConnell, Cathleen J Hapeman, Mark Ramirez, Alba Torrents
Electronic noses have been widely used in the food industry to monitor process performance and quality control, but use in wastewater and biosolids treatment has not been fully explored. Therefore, we examined the feasibility of an electronic nose to discriminate between treatment conditions of alkaline stabilized biosolids and compared its performance with quantitative analysis of key odorants. Seven lime treatments (0-30% w/w) were prepared and the resultant off-gas was monitored by GC-MS and by an electronic nose equipped with ten metal oxide sensors...
July 27, 2017: Chemosphere
https://www.readbyqxmd.com/read/28766174/discriminant-analysis-of-intracranial-volumetric-variables-in-patients-with-normal-pressure-hydrocephalus-and-brain-atrophy
#3
Leszek Czerwosz, Ewa Szczepek, Krzysztof Nowiński, Beata Sokołowska, Jerzy Jurkiewicz, Zbigniew Czernicki, Waldemar Koszewski
A method was developed for the computerized volumetric assessment of the intracranial cerebrospinal fluid (CSF) distribution. The study involved 62 patients differentiated into two groups: with CSF resorption disorders (normal pressure hydrocephalus - 30 patients) and without CSF resorption disorders (various types of brain atrophy - 32 patients). The goal of the study was to ascertain whether the assessment, depending on the linear discriminant analysis of volumetric brain features, could be an effective tool differentiating the two groups...
August 2, 2017: Advances in Experimental Medicine and Biology
https://www.readbyqxmd.com/read/28755945/standardization-of-milk-mid-infrared-spectrometers-for-the-transfer-and-use-of-multiple-models
#4
C Grelet, J A Fernández Pierna, P Dardenne, H Soyeurt, A Vanlierde, F Colinet, C Bastin, N Gengler, V Baeten, F Dehareng
An increasing number of models are being developed to provide information from milk Fourier transform mid-infrared (FT-MIR) spectra on fine milk composition, technological properties of milk, or even cows' physiological status. In this context, and to take advantage of these existing models, the purpose of this work was to evaluate whether a spectral standardization method can enable the use of multiple equations within a network of different FT-MIR spectrometers. The piecewise direct standardization method was used, matching "slave" instruments to a common reference, the "master...
July 26, 2017: Journal of Dairy Science
https://www.readbyqxmd.com/read/28752262/discrimination-model-applied-to-urinalysis-of-patients-with-diabetes-and-hypertension-aiming-at-diagnosis-of-chronic-kidney-disease-by-raman-spectroscopy
#5
Elzo Everton de Souza Vieira, Jeyse Aliana Martins Bispo, Landulfo Silveira, Adriana Barrinha Fernandes
Higher blood pressure level and poor glycemic control in diabetic patients are considered progression factors that cause faster decline in kidney functions leading to kidney damage. The present study aimed to develop a quantification model of biomarkers creatinine, urea, and glucose by means of selected peaks of these compounds, measured by Raman spectroscopy, and to estimate the concentration of these analytes in the urine of normal subjects (G_N), diabetic patients with hypertension (G_WOL) patients with chronic renal failure doing dialysis (G_D)...
July 27, 2017: Lasers in Medical Science
https://www.readbyqxmd.com/read/28737267/appearance-and-characterization-of-fruit-image-textures-for-quality-sorting-using-wavelet-transform-and-genetic-algorithms
#6
Suchitra Khoje
Images of four qualities of mangoes and guavas are evaluated for color and textural features to characterize and classify them, and to model the fruit appearance grading. The paper discusses three approaches to identify most discriminating texture features of both the fruits. In the first approach, fruit's color and texture features are selected using Mahalanobis distance. A total of 20 color features and 40 textural features are extracted for analysis. Using Mahalanobis distance and feature intercorrelation analyses, one best color feature (mean of a* [L*a*b* color space]) and two textural features (energy a*, contrast of H*) are selected as features for Guava while two best color features (R std, H std) and one textural features (energy b*) are selected as features for mangoes with the highest discriminate power...
July 24, 2017: Journal of Texture Studies
https://www.readbyqxmd.com/read/28714599/the-utility-of-empirically-assigning-ancestry-groups-in-cross-population-genetic-studies-of-addiction
#7
Roseann E Peterson, Alexis C Edwards, Silviu-Alin Bacanu, Danielle M Dick, Kenneth S Kendler, Bradley T Webb
BACKGROUND AND OBJECTIVES: Given moderate heritability and significant heterogeneity among addiction phenotypes, successful genome-wide association studies (GWAS) are expected to need very large samples. As sample sizes grow, so can genetic diversity leading to challenges in analyzing these data. Methods for empirically assigning individuals to genetically informed ancestry groups are needed. METHODS: We describe a strategy for empirically assigning ancestry groups in ethnically diverse GWAS data including extensions of principal component analysis (PCA) and population matching through minimum Mahalanobis distance...
July 17, 2017: American Journal on Addictions
https://www.readbyqxmd.com/read/28693533/classification-complexity-in-myoelectric-pattern-recognition
#8
Niclas Nilsson, Bo Håkansson, Max Ortiz-Catalan
BACKGROUND: Limb prosthetics, exoskeletons, and neurorehabilitation devices can be intuitively controlled using myoelectric pattern recognition (MPR) to decode the subject's intended movement. In conventional MPR, descriptive electromyography (EMG) features representing the intended movement are fed into a classification algorithm. The separability of the different movements in the feature space significantly affects the classification complexity. Classification complexity estimating algorithms (CCEAs) were studied in this work in order to improve feature selection, predict MPR performance, and inform on faulty data acquisition...
July 10, 2017: Journal of Neuroengineering and Rehabilitation
https://www.readbyqxmd.com/read/28647613/validating-a-two-dimensional-bipolar-spectrum-model-integrating-dsm-5-s-mixed-features-specifier-for-major-depressive-disorder
#9
Panagiotis Ferentinos, Konstantinos N Fountoulakis, Cathryn M Lewis, Evgenia Porichi, Dimitris Dikeos, Charalambos Papageorgiou, Athanassios Douzenis
INTRODUCTION: The literature on DSM-5's 'Major Depressive Disorder with lifetime mixed features' (MDD-MF) is limited. This study investigated MDD-MF's potential inclusion into a bipolar spectrum. METHODS: We recruited 287 patients with Bipolar I disorder (BD-I), BD-II, MDD-MF or 'MDD without lifetime mixed features' (MDD-noMF); most (N=280) were stabilized for at least one year on medication. Sixteen validators (clinical features, psychiatric family history, temperament, stabilizing treatment) were compared across groups and subjected to trend analyses...
August 2017: Comprehensive Psychiatry
https://www.readbyqxmd.com/read/28644806/discriminative-deep-metric-learning-for-face-and-kinship-verification
#10
Jiwen Lu, Junlin Hu, Yap-Peng Tan
This paper presents a new discriminative deep metric learning (DDML) method for face and kinship verification in wild conditions. While metric learning has achieved reasonably good performance in face and kinship verification, most existing metric learning methods aim to learn a single Mahalanobis distance metric to maximize the inter-class variations and minimize the intra-class variations, which cannot capture the nonlinear manifold where face images usually lie on. To address this, we propose a DDML method to train a deep neural network to learn a set of hierarchical nonlinear transformations to project face pairs into the same latent feature space, under which the distance of each positive pair is reduced and that of each negative pair is enlarged...
September 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28613377/evaluation-of-genetic-diversity-among-soybean-glycine-max-genotypes-using-univariate-and-multivariate-analysis
#11
M M Oliveira, L B Sousa, M C Reis, E G Silva Junior, D B O Cardoso, O T Hamawaki, A P O Nogueira
The genetic diversity study has paramount importance in breeding programs; hence, it allows selection and choice of the parental genetic divergence, which have the agronomic traits desired by the breeder. This study aimed to characterize the genetic divergence between 24 soybean genotypes through their agronomic traits, using multivariate clustering methods to select the potential genitors for the promising hybrid combinations. Six agronomic traits evaluated were number of days to flowering and maturity, plant height at flowering and maturity, insertion height of the first pod, and yield...
May 31, 2017: Genetics and Molecular Research: GMR
https://www.readbyqxmd.com/read/28613376/genetic-variability-of-garlic-accessions-as-revealed-by-agro-morphological-traits-evaluated-under-different-environments
#12
E S S Hoogerheide, J A Azevedo Filho, R Vencovsky, M I Zucchi, B W Zago, J B Pinheiro
The cultivated garlic (Allium sativum L.) displays a wide phenotypic diversity, which is derived from natural mutations and phenotypic plasticity, due to dependence on soil type, moisture, latitude, altitude and cultural practices, leading to a large number of cultivars. This study aimed to evaluate the genetic variability shown by 63 garlic accessions belonging to Instituto Agronômico de Campinas and the Escola Superior de Agricultura "Luiz de Queiroz" germplasm collections. We evaluated ten quantitative characters in experimental trials conducted under two localities of the State of São Paulo: Monte Alegre do Sul and Piracicaba, during the agricultural year of 2007, in a randomized blocks design with five replications...
May 31, 2017: Genetics and Molecular Research: GMR
https://www.readbyqxmd.com/read/28612334/water-quality-assessment-with-hierarchical-cluster-analysis-based-on-mahalanobis-distance
#13
Xiangjun Du, Fengjing Shao, Shunyao Wu, Hanlin Zhang, Si Xu
Water quality assessment is crucial for assessment of marine eutrophication, prediction of harmful algal blooms, and environment protection. Previous studies have developed many numeric modeling methods and data driven approaches for water quality assessment. The cluster analysis, an approach widely used for grouping data, has also been employed. However, there are complex correlations between water quality variables, which play important roles in water quality assessment but have always been overlooked. In this paper, we analyze correlations between water quality variables and propose an alternative method for water quality assessment with hierarchical cluster analysis based on Mahalanobis distance...
July 2017: Environmental Monitoring and Assessment
https://www.readbyqxmd.com/read/28589853/n-of-1-pathways-mixenrich-advancing-precision-medicine-via-single-subject-analysis-in-discovering-dynamic-changes-of-transcriptomes
#14
Qike Li, A Grant Schissler, Vincent Gardeux, Ikbel Achour, Colleen Kenost, Joanne Berghout, Haiquan Li, Hao Helen Zhang, Yves A Lussier
BACKGROUND: Transcriptome analytic tools are commonly used across patient cohorts to develop drugs and predict clinical outcomes. However, as precision medicine pursues more accurate and individualized treatment decisions, these methods are not designed to address single-patient transcriptome analyses. We previously developed and validated the N-of-1-pathways framework using two methods, Wilcoxon and Mahalanobis Distance (MD), for personal transcriptome analysis derived from a pair of samples of a single patient...
May 24, 2017: BMC Medical Genomics
https://www.readbyqxmd.com/read/28587285/study-on-an-indoor-positioning-system-for-harsh-environments-based-on-wi-fi-and-bluetooth-low-energy
#15
Gabriel de Blasio, Alexis Quesada-Arencibia, Carmelo R García, Jezabel Miriam Molina-Gil, Cándido Caballero-Gil
This paper presents a study of positioning system that provides advanced information services based on Wi-Fi and Bluetooth Low Energy (BLE) technologies. It uses Wi-Fi for rough positioning and BLE for fine positioning. It is designed for use in public transportation system stations and terminals where the conditions are "hostile" or unfavourable due to signal noise produced by the continuous movement of passengers and buses, data collection conducted in the constant presence thereof, multipath fading, non-line of sight (NLOS) conditions, the fact that part of the wireless communication infrastructure has already been deployed and positioned in a way that may not be optimal for positioning purposes, variable humidity conditions, etc...
June 6, 2017: Sensors
https://www.readbyqxmd.com/read/28584724/seed-morphometric-characteristics-of-european-species-of-elatine-elatinaceae
#16
Agnieszka Popiela, Andrzej Łysko, Bożenna Białecka, Magdalena Marta Bihun, Gábor Sramkó, Waldemar Staroń, Anetta Wieczorek, Attila Molnár V
Elatine L. contains ca. 25 small, herbaceous, annual species distributed in ephemeral waters in both hemispheres. All species are amphibious and characterized by a high degree of morphological variability. The importance of seed morphology in Elatine taxonomy has been emphasized by many authors. The degree of seed curvature and seed coat reticulation have been traditionally considered very important in recognizing individual species of this genus. Seed morphometric characteristics of 10 Elatine species, including all European native taxa, are provided on the basis of material from two or three populations of each species...
2017: PeerJ
https://www.readbyqxmd.com/read/28580000/phosphorus-over-fertilization-and-nutrient-misbalance-of-irrigated-tomato-crops-in-brazil
#17
Rodrigo H D Nowaki, Serge-Étienne Parent, Arthur B Cecílio Filho, Danilo E Rozane, Natália B Meneses, Juliana A Dos Santos da Silva, William Natale, Léon E Parent
Over the past 20 years, the use of center-pivot irrigation has increased tomato (Solanum lycopersicum L.) yields in Brazil from 42 Mg ha(-1) to more than 80 Mg ha(-1). In the absence of field trials to support fertilizer recommendations, substantial amounts of phosphorus (P) have been applied to crops. Additional P dosing has been based on an equilibrated nutrient P budget adjusted for low-P fertilizer-use efficiency in high-P fixing tropical soils. To document nutrient requirements and prevent over-fertilization, tissue samples and crop yield data can be acquired through crop surveys and fertilizer trials...
2017: Frontiers in Plant Science
https://www.readbyqxmd.com/read/28552251/avoidance-responses-of-minke-whales-to-1-4khz-naval-sonar
#18
Petter H Kvadsheim, Stacy DeRuiter, Lise D Sivle, Jeremy Goldbogen, Rune Roland-Hansen, Patrick J O Miller, Frans-Peter A Lam, John Calambokidis, Ari Friedlaender, Fleur Visser, Peter L Tyack, Lars Kleivane, Brandon Southall
Minke whales are difficult to study and little information exists regarding their responses to anthropogenic sound. This study pools data from behavioural response studies off California and Norway. Data are derived from four tagged animals, of which one from each location was exposed to naval sonar signals. Statistical analyses were conducted using Mahalanobis distance to compare overall changes in parameters summarising dive behaviour, avoidance behaviour, and potential energetic costs of disturbance. Our quantitative analysis showed that both animals initiated avoidance behaviour, but responses were not associated with unusual dive behaviour...
May 25, 2017: Marine Pollution Bulletin
https://www.readbyqxmd.com/read/28542245/identifying-corals-displaying-aberrant-behavior-in-fiji-s-lau-archipelago
#19
Anderson B Mayfield, Chii-Shiarng Chen, Alexandra C Dempsey
Given the numerous threats against Earth's coral reefs, there is an urgent need to develop means of assessing reef coral health on a proactive timescale. Molecular biomarkers may prove useful in this endeavor because their expression should theoretically undergo changes prior to visible signs of health decline, such as the breakdown of the coral-dinoflagellate (genus Symbiodinium) endosymbiosis. Herein 13 molecular- and physiological-scale biomarkers spanning both eukaryotic compartments of the anthozoan-Symbiodinium mutualism were assessed across 70 pocilloporid coral colonies sampled from reefs of Fiji's easternmost province, Lau...
2017: PloS One
https://www.readbyqxmd.com/read/28541900/simultaneous-semi-coupled-dictionary-learning-for-matching-in-canonical-space
#20
Nilotpal Das, Devraj Mandal, Soma Biswas
Cross-modal recognition and matching with privileged information are important challenging problems in the field of computer vision. The cross-modal scenario deals with matching across different modalities and needs to take care of the large variations present across and within each modality. The privileged information scenario deals with the situation that all the information available during training may not be available during the testing stage and hence algorithms need to leverage the extra information from the training stage itself...
May 24, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
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