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https://www.readbyqxmd.com/read/28441390/parameters-tuning-of-pid-controller-for-automatic-voltage-regulators-using-the-african-buffalo-optimization
#1
Julius Beneoluchi Odili, Mohd Nizam Mohmad Kahar, A Noraziah
In this paper, an attempt is made to apply the African Buffalo Optimization (ABO) to tune the parameters of a PID controller for an effective Automatic Voltage Regulator (AVR). Existing metaheuristic tuning methods have been proven to be quite successful but there were observable areas that need improvements especially in terms of the system's gain overshoot and steady steady state errors. Using the ABO algorithm where each buffalo location in the herd is a candidate solution to the Proportional-Integral-Derivative parameters was very helpful in addressing these two areas of concern...
2017: PloS One
https://www.readbyqxmd.com/read/28440753/is-hla-the-cause-of-the-high-incidence-of-type-1-diabetes-in-the-canary-islands-results-from-the-type-1-diabetes-genetics-consortium-t1dgc
#2
Angelo Santana Del Pino, Nathan Medina-Rodríguez, Marta Hernández-García, Francisco J Nóvoa-Mogollón, Ana M Wägner
INTRODUCTION: Incidence of childhood-onset type 1 diabetes mellitus in the Canary Islands is the highest reported so far in Spain, and among the highest worldwide. The HLA region accounts for approximately half the genetic risk of type 1 diabetes. Our aim was to assess distribution of high-risk and protective HLA haplotypes in the Canarian families included in the T1DGC, as compared to the rest of Spain. METHODS: The T1DGC study, an international project to study the genetics and pathogenesis of type 1 diabetes, enrolled more than 3000 families with type 1 diabetes worldwide...
March 2017: Endocrinol Diabetes Nutr
https://www.readbyqxmd.com/read/28439221/congenital-hyperinsulinism-caused-by-a-de-novo-mutation-in-the-abcc8-gene-a-case-report
#3
Zsuzsanna Molnár, Lfdia Balogh, János Kappelmayer, László Madar, Éva Gombos, István Balogh
Congenital hyperinsulinism (CHI) is a rare genetic disorder characterized by inappropriate insulin secretion and severe hypoglycaemia. There are two histological subtypes: diffuse and focal form. Diffuse form is most common in autosomal recessive mutations in ABCC8/KCNJ11 gene, while focal CHI is caused a paternally inherited mutation and a somatic maternal allele loss. Here we report a case of a term male infant presented with severe hyperinsulinaemic hypoglycaemia. Gene panel testing was performed to give rapid genetic diagnosis...
March 2017: EJIFCC
https://www.readbyqxmd.com/read/28439010/cyclops-reveals-human-transcriptional-rhythms-in-health-and-disease
#4
Ron C Anafi, Lauren J Francey, John B Hogenesch, Junhyong Kim
Circadian rhythms modulate many aspects of physiology. Knowledge of the molecular basis of these rhythms has exploded in the last 20 years. However, most of these data are from model organisms, and translation to clinical practice has been limited. Here, we present an approach to identify molecular rhythms in humans from thousands of unordered expression measurements. Our algorithm, cyclic ordering by periodic structure (CYCLOPS), uses evolutionary conservation and machine learning to identify elliptical structure in high-dimensional data...
April 24, 2017: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/28438115/an-auditory-display-tool-for-dna-sequence-analysis
#5
Mark D Temple
BACKGROUND: DNA Sonification refers to the use of an auditory display to convey the information content of DNA sequence data. Six sonification algorithms are presented that each produce an auditory display. These algorithms are logically designed from the simple through to the more complex. Three of these parse individual nucleotides, nucleotide pairs or codons into musical notes to give rise to 4, 16 or 64 notes, respectively. Codons may also be parsed degenerately into 20 notes with respect to the genetic code...
April 24, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28438021/a-new-improved-and-extended-version-of-the-multicell-bacterial-simulator-gro
#6
Martín Eduardo Gutiérrez, Paula Gregorio-Godoy, Guillermo Pérez Del Pulgar, Luis Enrique Muñoz, Sandra Sáez, Alfonso Rodriguez-Paton
gro is a cell programming language developed in Klavins Lab for simulating colony growth and cell-cell communication. It is used as a synthetic biology prototyping tool for simulating multicellular biocircuits. In this work, we present several extensions made to gro that improve the performance of the simulator, make it easier to use and provide new functionalities. The new version of gro is between one and two orders of magnitude faster than the original version. It is able to grow microbial colonies with up to 10(5) cells in less than 20 minutes...
April 24, 2017: ACS Synthetic Biology
https://www.readbyqxmd.com/read/28436883/a-bipartite-network-and-resource-transfer-based-approach-to-infer-lncrna-environmental-factor-associations
#7
Jie Zhou, Yuan-Yuan Shi
Phenotypes and diseases are often determined by the complex interactions between genetic factors and environmental factors (EFs). However, compared with protein-coding genes and microRNAs, there is a paucity of computational methods for understanding the associations between long non-coding RNAs (lncRNAs) and EFs. In this study, we focused on the associations between lncRNA and EFs. By using the common miRNA partners of any pair of lncRNA and EF, based on the competing endogenous RNA (ceRNA) hypothesis and the technique of resources transfer within the experimentally-supported lncRNA-miRNA and miRNA-EF association bipartite networks, we propose an algorithm for predicting new lncRNA-EF associations...
April 18, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28436608/a-fukui-function-guided-genetic-algorithm-assessment-on-structural-prediction-of-sin-n%C3%A2-%C3%A2-12-20-clusters
#8
Osvaldo Yañez, Alejandro Vásquez-Espinal, Diego Inostroza, Lina Ruiz, Ricardo Pino-Rios, William Tiznado
Theoretical studies are essential for the structural characterization of clusters, when it comes to rationalize their unique size-dependent properties and composition. However, the rapid growth of local minima on the potential energy surface (PES), with respect to cluster size, makes the candidate identification a challenging undertaking. In this article, we introduce a hybrid strategy to explore the PES of clusters. This proposal involves the use of a biased initial population of a genetic algorithm procedure...
April 24, 2017: Journal of Computational Chemistry
https://www.readbyqxmd.com/read/28431171/heritability-of-heart-rate-response-to-arousals-in-twins
#9
Xiaoling Gao, Ali Azarbarzin, Brendan T Keenan, Michele Ostrowski, Frances M Pack, Bethany Staley, Greg Maislin, Allan I Pack, Magdy Younes, Samuel T Kuna
Objectives: To determine if the large and highly reproducible inter-individual differences in arousal intensity and heart rate response to arousal (ΔHR) during non-REM sleep are heritable. Methods: Polysomnograms of 55 monozygotic (14 male and 41 female pairs) and 36 dizygotic (15 male and 21 female pairs) same-sex twin pairs were analyzed. Arousals were scored using the 2012 American Academy of Sleep Medicine criteria. Arousal intensity was scaled (between 0 and 9) using an automatic algorithm based on the change in EEG time and frequency characteristics...
April 18, 2017: Sleep
https://www.readbyqxmd.com/read/28430239/research-on-intelligent-algorithms-for-amplitude-optimization-of-wavefront-shaping
#10
Qi Feng, Bin Zhang, Zhipeng Liu, Chengyou Lin, Yingchun Ding
This paper demonstrates further research on intelligent algorithms of binary amplitude optimization for wavefront shaping by numerical simulations. A better fitness function of the genetic algorithm (GA) has been presented after a comparative analysis of enhancement. With this new discriminant, we have achieved a relative enhancement of 0.225, which is higher than the theoretical value (0.159). In addition, we have also proposed a kind of modified particle swarm optimization algorithm (PSO), which has a higher enhancement than the unmodified PSO and a faster convergence speed than the GA...
April 20, 2017: Applied Optics
https://www.readbyqxmd.com/read/28428840/an-internet-based-platform-for-the-estimation-of-outcrossing-potential-between-cultivated-and-chilean-vascular-plants
#11
Pablo Cid, Carlos Aguirre, Miguel Ángel Sánchez, Daniel Zamorano, Maritza Mihoc, Erika Salazar, Gustavo Chacón, Humberto Navarrete, Marcelo Rosas, Humberto Prieto
A national-scale study of outcrossing potential within Chilean vascular flora was conducted using an upgraded algorithm, which adds parameters such as pollinator agents, climate, and geographic conditions. Datasets were organized and linked in a Web platform (www.flujogenico.cl), in which the development of a total outcrossing potential (TOP) predictor was formulated. The TOP predictor is the engine in the Web platform, which models the effect of a type of agricultural practice on others (coexistence calculation mode) and on the environment (biodiversity calculation mode)...
April 2017: Ecology and Evolution
https://www.readbyqxmd.com/read/28426387/characterization-of-bimodal-chronotype-and-its-association-with-sleep-a-population-based-study
#12
Priscila Farias Tempaku, Juliana Ramirez Arruda, Diego Robles Mazzotti, Bruno S B Gonçalves, Mário Pedrazzoli, Lia Bittencourt, Sergio Tufik
The circadian system coordinates internal events in a daily schedule to make sure that the body systems are synchronized to environmental time and internal cues. One important behavioral aspect of the circadian system is the chronotype. It is usually assessed through subjective questionnaires, being the Horne-Ostberg Morningness-Eveningness Questionnaire (MEQ) one of the most used. It classifies individuals into three major categories: morning, evening, and intermediate types. Recently, it has been hypothesized the existence of a fourth chronotype, the bimodal type, through an algorithm derived from the MEQ responses...
2017: Chronobiology International
https://www.readbyqxmd.com/read/28425310/comments-on-prediction-of-the-aqueous-solubility-using-the-general-solubility-equation-gse-versus-genetic-algorithm-and-support-vector-machine-model
#13
Doaa Alantary, Samuel Yalkowsky
The General Solubility Equation (GSE) is the state of the art method for estimating the aqueous solubilities of organic compounds. It is an extremely simple equation that expresses aqueous solubility as a function of only two inputs: the octanol-water partition coefficient calculated by readily available softwares like clogp and acdlogp, and the commonly known melting point of the solute. Recently, Bahadori, et al. (2016) proposed that their genetic algorithm support vector machine is a "better" predictor...
April 20, 2017: Pharmaceutical Development and Technology
https://www.readbyqxmd.com/read/28423766/dermatology-disease-prediction-based-on-two-step-cascade-genetic-algorithm-optimization-of-anfis-parameters
#14
Aja Avdagic, Lejla Begic Fazlic
The aim of this study is to present novel algorithms for prediction of dermatological disease using only dermatological clinical features and diagnoses collected in real conditions. A combination of the Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and Genetic algorithm (GA) for ANFIS subtractive clustering parameter optimization has been suggested for the first level of fuzzy model optimization. After that, a genetic optimized ANFIS fuzzy structure is used as input in GA for the second level of fuzzy model optimization...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28422179/heritability-maps-of-human-face-morphology-through-large-scale-automated-three-dimensional-phenotyping
#15
Dimosthenis Tsagkrasoulis, Pirro Hysi, Tim Spector, Giovanni Montana
The human face is a complex trait under strong genetic control, as evidenced by the striking visual similarity between twins. Nevertheless, heritability estimates of facial traits have often been surprisingly low or difficult to replicate. Furthermore, the construction of facial phenotypes that correspond to naturally perceived facial features remains largely a mystery. We present here a large-scale heritability study of face geometry that aims to address these issues. High-resolution, three-dimensional facial models have been acquired on a cohort of 952 twins recruited from the TwinsUK registry, and processed through a novel landmarking workflow, GESSA (Geodesic Ensemble Surface Sampling Algorithm)...
April 19, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28419606/stratified-polygenic-risk-prediction-model-with-application-to-cagi-bipolar-disorder-sequencing-data
#16
Maggie Haitian Wang, Billy Chang, Rui Sun, Inchi Hu, Xiaoxuan Xia, William Ka Kei Wu, Ka Chun Chong, Benny Chung-Ying Zee
Genetic data consists of a wide range of marker types, including common, low frequency, and rare variants. Multiple genetic markers and their interactions play central roles in the heritability of complex disease. In this study, we propose an algorithm that uses a stratified variable selection design by genetic architectures and interaction effects, achieved by a data-set adaptive W-test. The polygenic sets in all strata were integrated to form a classification rule. The algorithm was applied to the Critical Assessment of Genome Interpretation 4 bipolar challenge sequencing data...
April 17, 2017: Human Mutation
https://www.readbyqxmd.com/read/28419235/a-bayesian-group-sparse-multi-task-regression-model-for-imaging-genetics
#17
Keelin Greenlaw, Elena Szefer, Jinko Graham, Mary Lesperance, Farouk S Nathoo
Motivation: Recent advances in technology for brain imaging and high-throughput genotyping have motivated studies examining the influence of genetic variation on brain structure. Wang et al. (Bioinformatics, 2012) have developed an approach for the analysis of imaging genomic studies using penalized multi-task regression with regularization based on a novel group l2,1-norm penalty which encourages structured sparsity at both the gene level and SNP level. While incorporating a number of useful features, the proposed method only furnishes a point estimate of the regression coefficients; techniques for conducting statistical inference are not provided...
April 13, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28417598/genetic-analysis-of-a-morphologically-heterogeneous-ovarian-endometrioid-carcinoma
#18
Felipe C Geyer, Fresia Pareja, Kathleen A Burke, Anne M Schultheis, Yaser R Hussein, Jiqing Ye, Maria R De Filippo, Caterina Marchio, Gabriel S Macedo, Salvatore Piscuoglio, Raymond S Lim, Eugene Toy, Rajmohan Murali, Achim A Jungbluth, Jorge S Reis-Filho, Robert A Soslow, Britta Weigelt
AIMS: Low-grade ovarian endometrioid carcinomas may be associated with high-grade components. Whether the latter are clonally-related to and originate from the low-grade endometrioid carcinoma remains unclear. Here we employed massively parallel sequencing to characterize the genomic landscape and clonal relatedness of an ovarian endometrioid carcinoma containing low- and high-grade components. METHODS AND RESULTS: DNA samples extracted from each tumor component (low-grade endometrioid, high-grade anaplastic, high-grade squamous) and matched normal tissue were subjected to targeted massively parallel sequencing using the 410 gene Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT) sequencing assay...
April 18, 2017: Histopathology
https://www.readbyqxmd.com/read/28416895/a-response-to-letter-to-the-editor-a-genetic-based-algorithm-for-personalized-resistance-training
#19
N Jones, J Kiely, B Suraci, D J Collins, D de Lorenzo, C Pickering, K A Grimaldi
No abstract text is available yet for this article.
March 2017: Biology of Sport
https://www.readbyqxmd.com/read/28416894/letter-to-the-editor-a-genetic-based-algorithm-for-personalized-resistance-training
#20
A Karanikolou, G Wang, Y Pitsiladis
In a recent paper entitled "A genetic-based algorithm for personalized resistance training", Jones et al. [1] presented an algorithm of 15 performance-associated gene polymorphisms that they propose can determine an athlete's training response by predicting power and endurance potential. However, from the design of their studies and the data provided, there is no evidence to support these authors' assertions. Progress towards such a significant development in the field of sport and exercise genomics will require a paradigm shift in line with recent recommendations for international collaborations such as the Athlome Project (see www...
March 2017: Biology of Sport
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