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https://www.readbyqxmd.com/read/28728362/estimation-of-genetic-parameters-of-the-productive-and-reproductive-traits-in-ethiopian-holstein-using-multi-trait-models
#1
Wondossen Ayalew, Mohammed Aliy, Enyew Negussie
Objective: The objective of this study was to estimate genetic parameters for productive and reproductive traits. Methods: The data included production and reproduction records of animals that have calved between 1979 and 2013. The genetic parameters were estimated using multivariate mixed models (DMU) package, fitting univariate and multivariate mixed models with average information restricted maximum likelihood (AI-REML) algorithm. Results: The estimates of heritability for milk production traits from the first three lactation records were 0...
June 27, 2017: Asian-Australasian Journal of Animal Sciences
https://www.readbyqxmd.com/read/28728207/-female-urethral-diverticulum-with-calculus-formation-imitating-stress-incontinence
#2
Leonidas Karapanos, Daniel Porres, David Pfister, Ilgar Akbarov, Axel Heidenreich, Vahudin Zugor
A female urethral diverticulum (UD) is a rare condition with a prevalence of 0.6 - 4.7 %. Possible aetiologies include chronic infection of the periurethral glands, childbirth trauma, and iatrogenic lesions after urethral manipulation. The main symptoms are recurrent urinary tract infections, post-void dribbling and leakage of urine or purulent discharge by movement, which is caused by the emptying of the diverticular lumen (paradoxical incontinence). As this may imitate stress urinary incontinence, the final diagnosis is a challenge for urologists...
July 20, 2017: Aktuelle Urologie
https://www.readbyqxmd.com/read/28728154/prevalence-of-primary-headache-disorders-in-kuwait
#3
Jasem Yousef Al-Hashel, Samar Farouk Ahmed, Raed Alroughani
BACKGROUND: Only an insignificant quantum of data exists on the prevalence of primary headaches among those living in Kuwait. We aimed to determine the prevalence of primary headaches among the Kuwaiti population. METHODS: This community-based study included Kuwaiti population aged 18-65 years. Using systematic random sampling, data was collected by the Headache-Attributed Restriction, Disability, Social Handicap and Impaired Participation questionnaire. Responses to the diagnostic questions were transformed into diagnoses algorithmically to confirm the diagnosis of primary headache...
July 21, 2017: Neuroepidemiology
https://www.readbyqxmd.com/read/28728147/efficient-maximum-likelihood-estimation-for-pedigree-data-with-the-sum-product-algorithm
#4
Alexander Engelhardt, Anna Rieger, Achim Tresch, Ulrich Mansmann
OBJECTIVE: We analyze data sets consisting of pedigrees with age at onset of colorectal cancer (CRC) as phenotype. The occurrence of familial clusters of CRC suggests the existence of a latent, inheritable risk factor. We aimed to compute the probability of a family possessing this risk factor as well as the hazard rate increase for these risk factor carriers. Due to the inheritability of this risk factor, the estimation necessitates a costly marginalization of the likelihood. METHODS: We propose an improved EM algorithm by applying factor graphs and the sum-product algorithm in the E-step...
July 21, 2017: Human Heredity
https://www.readbyqxmd.com/read/28728094/modelling-a-budgetary-impact-analysis-for-funding-drug-based-smoking-cessation-therapies-for-patients-with-major-depressive-disorder-in-spain
#5
J Rejas-Gutiérrez, E Bruguera, S Cedillo
BACKGROUND: Smoking is associated with high healthcare resource utilisation and cost to society. Patients with major depressive disorder (MDD) exhibit high susceptibility to nicotine dependence. Varenicline, bupropion and nicotine replacement therapy are all indicated for smoking cessation; however funding by the Spanish national health system (SNHS) is limited. We modelled a budgetary impact analysis (BIA) to estimate the impact of the SNHS funding drug-based therapies for smoking cessation in smokers with MDD...
June 3, 2017: European Psychiatry: the Journal of the Association of European Psychiatrists
https://www.readbyqxmd.com/read/28728059/iterative-variational-mode-decomposition-based-automated-detection-of-glaucoma-using-fundus-images
#6
Shishir Maheshwari, Ram Bilas Pachori, Vivek Kanhangad, Sulatha V Bhandary, U Rajendra Acharya
Glaucoma is one of the leading causes of permanent vision loss. It is an ocular disorder caused by increased fluid pressure within the eye. The clinical methods available for the diagnosis of glaucoma require skilled supervision. They are manual, time consuming, and out of reach of common people. Hence, there is a need for an automated glaucoma diagnosis system for mass screening. In this paper, we present a novel method for an automated diagnosis of glaucoma using digital fundus images. Variational mode decomposition (VMD) method is used in an iterative manner for image decomposition...
June 19, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28728054/an-artificial-neural-network-system-to-identify-alleles-in-reference-electropherograms
#7
Duncan Taylor, Ash Harrison, David Powers
Electropherograms are produced in great numbers in forensic DNA laboratories as part of everyday criminal casework. Before the results of these electropherograms can be used they must be scrutinised by analysts to determine what the identified data tells them about the underlying DNA sequences and what is purely an artefact of the DNA profiling process. This process of interpreting the electropherograms can be time consuming and is prone to subjective differences between analysts. Recently it was demonstrated that artificial neural networks could be used to classify information within an electropherogram as allelic (i...
July 8, 2017: Forensic Science International. Genetics
https://www.readbyqxmd.com/read/28728043/autofocus-on-moving-object-in-scanning-electron-microscope
#8
Andrey V Kudryavtsev, Sounkalo Dembélé, Nadine Piat
The sharpness of the images coming from a Scanning Electron Microscope (SEM) is a very important property for many computer vision applications at micro- and nanoscale. It represents how much object details are distinctive in the images: the object may be perceived sharp or blurred. Image sharpness highly depends on the value of focal distance, or working distance in the case of the SEM. Autofocus is the technique allowing to automatically adjust the working distance to maximize the sharpness. Most of the existing algorithms allows working only with a static object which is enough for the tasks of visualization, manual microanalysis or microcharacterization...
July 12, 2017: Ultramicroscopy
https://www.readbyqxmd.com/read/28727915/improving-accuracy-diversity-and-speed-with-prime-macrocycle-conformational-sampling
#9
Dan Sindhikara, Steven A Spronk, Tyler Day, Ken Borrelli, Daniel L Cheney, Shana L Posy
A novel method for exploring macrocycle conformational space, Prime Macrocycle Conformational Sampling (Prime-MCS), is introduced and evaluated in the context of other available algorithms (Molecular Dynamics, LowModeMD in MOE, and MacroModel Baseline Search). The algorithms were benchmarked on a dataset of 208 macrocycles which was curated for diversity from the Cambridge Structural Database, the Protein Databank, and the Biologically Interesting Molecule Reference Dictionary. The algorithms were evaluated in terms of accuracy (ability to reproduce the crystal structure), diversity (coverage of conformational space), and computational speed...
July 20, 2017: Journal of Chemical Information and Modeling
https://www.readbyqxmd.com/read/28727884/oct-angiography-and-ellipsoid-zone-mapping-of-macular-telangiectasia-type-2-from-the-avatar-study
#10
Anne P Runkle, Peter K Kaiser, Sunil K Srivastava, Andrew P Schachat, Jamie L Reese, Justis P Ehlers
Purpose: To evaluate alterations on optical coherence tomography angiography (OCT-A) and quantitatively assess alterations in the ellipsoid zone (EZ) in eyes with macular telangiectasia type 2 (MacTel type 2). Methods: The Observational Assessment of Visualizing and Analyzing Vessels With Optical Coherence Tomography Angiography in Retinal Diseases study is an institutional review board-approved prospective, observational study investigating OCT-A in macular disease...
July 1, 2017: Investigative Ophthalmology & Visual Science
https://www.readbyqxmd.com/read/28727828/spatial-and-temporal-dynamics-of-shifting-cultivation-in-the-middle-amazonas-river-expansion-and-intensification
#11
Catarina Conte Jakovac, Loïc Paul Dutrieux, Latifah Siti, Marielos Peña-Claros, Frans Bongers
Shifting cultivation is the main land-use system transforming landscapes in riverine Amazonia. Increased concentration of the human population around villages and increasing market integration during the last decades may be causing agricultural intensification. Studies have shown that agricultural intensification, i.e. higher number of swidden-fallow cycles and shorter fallow periods, reduces crop productivity of swiddens and the regrowth capacity of fallows, undermining the resilience of the shifting cultivation system as a whole...
2017: PloS One
https://www.readbyqxmd.com/read/28727808/automatic-mouse-ultrasound-detector-a-mud-a-new-tool-for-processing-rodent-vocalizations
#12
Sarah M Zala, Doris Reitschmidt, Anton Noll, Peter Balazs, Dustin J Penn
House mice (Mus musculus) emit complex ultrasonic vocalizations (USVs) during social and sexual interactions, which have features similar to bird song (i.e., they are composed of several different types of syllables, uttered in succession over time to form a pattern of sequences). Manually processing complex vocalization data is time-consuming and potentially subjective, and therefore, we developed an algorithm that automatically detects mouse ultrasonic vocalizations (Automatic Mouse Ultrasound Detector or A-MUD)...
2017: PloS One
https://www.readbyqxmd.com/read/28727806/genocore-a-simple-and-fast-algorithm-for-core-subset-selection-from-large-genotype-datasets
#13
Seongmun Jeong, Jae-Yoon Kim, Soon-Chun Jeong, Sung-Taeg Kang, Jung-Kyung Moon, Namshin Kim
Selecting core subsets from plant genotype datasets is important for enhancing cost-effectiveness and to shorten the time required for analyses of genome-wide association studies (GWAS), and genomics-assisted breeding of crop species, etc. Recently, a large number of genetic markers (>100,000 single nucleotide polymorphisms) have been identified from high-density single nucleotide polymorphism (SNP) arrays and next-generation sequencing (NGS) data. However, there is no software available for picking out the efficient and consistent core subset from such a huge dataset...
2017: PloS One
https://www.readbyqxmd.com/read/28727789/lumpgem-systematic-generation-of-subnetworks-and-elementally-balanced-lumped-reactions-for-the-biosynthesis-of-target-metabolites
#14
Meric Ataman, Vassily Hatzimanikatis
In the post-genomic era, Genome-scale metabolic networks (GEMs) have emerged as invaluable tools to understand metabolic capabilities of organisms. Different parts of these metabolic networks are defined as subsystems/pathways, which are sets of functional roles to implement a specific biological process or structural complex, such as glycolysis and TCA cycle. Subsystem/pathway definition is also employed to delineate the biosynthetic routes that produce biomass building blocks. In databases, such as MetaCyc and SEED, these representations are composed of linear routes from precursors to target biomass building blocks...
July 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28727773/the-tradition-algorithm-approach-underestimates-the-prevalence-of-serodiagnosis-of-syphilis-in-hiv-infected-individuals
#15
Bin Chen, Xiuming Peng, Tiansheng Xie, Changzhong Jin, Fumin Liu, Nanping Wu
Currently, there are three algorithms for screening of syphilis: traditional algorithm, reverse algorithm and European Centre for Disease Prevention and Control (ECDC) algorithm. To date, there is not a generally recognized diagnostic algorithm. When syphilis meets HIV, the situation is even more complex. To evaluate their screening performance and impact on the seroprevalence of syphilis in HIV-infected individuals, we conducted a cross-sectional study included 865 serum samples from HIV-infected patients in a tertiary hospital...
July 20, 2017: PLoS Neglected Tropical Diseases
https://www.readbyqxmd.com/read/28727629/an-automated-inpatient-split-dose-bowel-preparation-system-improves-colonoscopy-quality-and-reduces-repeat-procedures
#16
Rena Yadlapati, Elyse R Johnston, Adam B Gluskin, Dyanna L Gregory, Rachel Cyrus, Lindsay Werth, Jody D Ciolino, David P Grande, Rajesh N Keswani
BACKGROUND/GOALS: Inpatient colonoscopy preparations are often inadequate, compromising patient safety and procedure quality, while resulting in greater hospital costs. The aims of this study were to: (1) design and implement an electronic inpatient split-dose bowel preparation order set; (2) assess the intervention's impact upon preparation adequacy, repeated colonoscopies, hospital days, and costs. STUDY: We conducted a single center prospective pragmatic quasiexperimental study of hospitalized adults undergoing colonoscopy...
July 19, 2017: Journal of Clinical Gastroenterology
https://www.readbyqxmd.com/read/28727616/iterative-reconstruction-may-improve-diagnosis-of-gout-an-ex-vivo-bio-phantom-dual-energy-computed-tomography-study
#17
Torsten Diekhoff, Maximilian Kotlyarov, Jürgen Mews, Bernd Hamm, Kay-Geert Armin Hermann
OBJECTIVES: We hypothesize that, compared with filtered back projection (FBP), iterative reconstruction (IR) increases the detected volume of uric acid, which serves as a measure of the sensitivity of the method, and therefore allows examinations with lower radiation exposure. Thus, the aim of our study was to evaluate the role of IR in dual-energy computed tomography (DECT) for gout assessment and volumetry in an ex vivo gout model using an epoxy phantom and a biophantom. MATERIALS AND METHODS: We prepared specimens with different concentrations of monosodium uric acid in ultrasound gel (30%-50%) and inserted them into an epoxy-based phantom and a porcine foreleg...
July 19, 2017: Investigative Radiology
https://www.readbyqxmd.com/read/28727569/comparing-the-performance-of-linear-and-nonlinear-principal-components-in-the-context-of-high-dimensional-genomic-data-integration
#18
Shofiqul Islam, Sonia Anand, Jemila Hamid, Lehana Thabane, Joseph Beyene
Linear principal component analysis (PCA) is a widely used approach to reduce the dimension of gene or miRNA expression data sets. This method relies on the linearity assumption, which often fails to capture the patterns and relationships inherent in the data. Thus, a nonlinear approach such as kernel PCA might be optimal. We develop a copula-based simulation algorithm that takes into account the degree of dependence and nonlinearity observed in these data sets. Using this algorithm, we conduct an extensive simulation to compare the performance of linear and kernel principal component analysis methods towards data integration and death classification...
July 20, 2017: Statistical Applications in Genetics and Molecular Biology
https://www.readbyqxmd.com/read/28727567/intuitionistic-multiplicative-group-analytic-hierarchy-process-and-its-use-in-multicriteria-group-decision-making
#19
Zhiming Zhang, Witold Pedrycz
As an extension of multiplicative preference relations (MPRs), intuitionistic MPRs (IMPRs) reflect experts' hesitant quantitative judgments. This paper presents an intuitionistic multiplicative preference information-based group analytic hierarchy process (AHP) and develops an intuitionistic multiplicative group AHP (IMGAHP), which addresses multicriteria group decision-making (MCGDM) that uses IMPRs to capture experts' preference judgments. First, we introduce a consistency index to gauge the consistency of IMPRs and describe the concept of acceptably consistent IMPRs...
July 17, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28727566/model-free-adaptive-control-for-unknown-nonlinear-zero-sum-differential-game
#20
Xiangnan Zhong, Haibo He, Ding Wang, Zhen Ni
In this paper, we present a new model-free globalized dual heuristic dynamic programming (GDHP) approach for the discrete-time nonlinear zero-sum game problems. First, the online learning algorithm is proposed based on the GDHP method to solve the Hamilton-Jacobi-Isaacs equation associated with H∞ optimal regulation control problem. By setting backward one step of the definition of performance index, the requirement of system dynamics, or an identifier is relaxed in the proposed method. Then, three neural networks are established to approximate the optimal saddle point feedback control law, the disturbance law, and the performance index, respectively...
July 17, 2017: IEEE Transactions on Cybernetics
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