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https://www.readbyqxmd.com/read/28212405/a-simplified-fractional-order-impedance-model-and-parameter-identification-method-for-lithium-ion-batteries
#1
Qingxia Yang, Jun Xu, Binggang Cao, Xiuqing Li
Identification of internal parameters of lithium-ion batteries is a useful tool to evaluate battery performance, and requires an effective model and algorithm. Based on the least square genetic algorithm, a simplified fractional order impedance model for lithium-ion batteries and the corresponding parameter identification method were developed. The simplified model was derived from the analysis of the electrochemical impedance spectroscopy data and the transient response of lithium-ion batteries with different states of charge...
2017: PloS One
https://www.readbyqxmd.com/read/28211540/quantitative-evaluation-on-the-characteristics-of-activated-sludge-granules-and-flocs-using-a-fuzzy-entropy-based-approach
#2
Fang Fang, Li-Li Qiao, Bing-Jie Ni, Jia-Shun Cao, Han-Qing Yu
Activated sludge granules and flocs have their inherent advantages and disadvantages for wastewater treatment due to their different characteristics. So far quantitative information on their evaluation is still lacking. This work provides a quantitative and comparative evaluation on the characteristics and pollutant removal capacity of granules and flocs by using a new methodology through integrating fuzzy analytic hierarchy process, accelerating genetic algorithm and entropy weight method. Evaluation results show a higher overall score of granules, indicating that granules had more favorable characteristics than flocs...
February 17, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28210550/evaluating-the-performance-of-national-comprehensive-cancer-network-nccn-breast-and-ovarian-genetic-familial-high-risk-assessment-referral-criteria-for-breast-cancer-women-in-an-asian-surgical-breast-clinic
#3
Geok-Hoon Lim, Eillen Borje, John C Allen
BACKGROUND: Globally, resources for genomic services vary. Current National Comprehensive Cancer Network (NCCN) breast and ovarian genetic/familial high risk assessment criteria for further genetic risk evaluation are useful, but lack specificity for reliably excluding patients with low a priori risk. This may result in patient overload in lesser-equipped genetics clinics. Since we use Manchester and the Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) risk assessment models in our genetics clinic to determine whether genetic testing is warranted, we chose Manchester and BOADICEA as the reference standard to compare how the NCCN breast and ovarian genetic/familial high risk assessment criteria for further genetic risk evaluation performs against these two risk assessment models in referring breast cancer patients for genetic evaluation...
February 2017: Gland Surgery
https://www.readbyqxmd.com/read/28208285/determining-gender-by-raman-spectroscopy-of-a-bloodstain
#4
Aliaksandra Sikirzhytskaya, Vitali Sikirzhytski, Igor K Lednev
The development of novel methods for forensic science is a constantly growing area of modern analytical chemistry. Raman spectroscopy is one of a few analytical techniques capable of nondestructive and nearly instantaneous analysis of a wide variety of forensic evidence, including body fluid stains, at the scene of a crime. In this proof-of-concept study, Raman microspectroscopy was utilized for gender identification based on dry bloodstains. Raman spectra were acquired in mapping mode from multiple spots on a bloodstain to account for intrinsic sample heterogeneity...
February 7, 2017: Analytical Chemistry
https://www.readbyqxmd.com/read/28207296/gambit-a-parameterless-model-based-evolutionary-algorithm-for-mixed-integer-problems
#5
Krzysztof L Sadowski, Dirk Thierens, Peter A N Bosman
Learning and exploiting problem structure is one of the key challenges in optimization. This is especially important for black-box optimization (BBO) where prior structural knowledge of a problem is not available. Existing model-based Evolutionary Algorithms (EAs) are very efficient at learning structure in both the discrete, and in the continuous domain. In this paper, discrete and continuous model-building mechanisms are integrated for the Mixed-Integer (MI) domain, comprising discrete and continuous variables...
February 16, 2017: Evolutionary Computation
https://www.readbyqxmd.com/read/28199368/secondary-structure-prediction-revisited-theoretical-%C3%AE-sheet-propensity-and-coil-propensity-represent-structures-of-amyloids-and-aid-in-elucidating-phenomena-involved-in-interspecies-transmission-of-prions
#6
Yuzuru Taguchi, Noriyuki Nishida
Prions are unique infectious agents, consisting solely of abnormally-folded prion protein (PrPSc). However, they possess virus-like features, including strain diversity, the ability to adapt to new hosts and to be altered evolutionarily. Because prions lack genetic material (DNA and RNA), these biological phenomena have been attributed to the structural properties of PrPSc. Therefore, many structural models of the structure of PrPSc have been proposed based on the limited structural information available, regardless of the incompatibility with high-resolution structural analysis...
2017: PloS One
https://www.readbyqxmd.com/read/28198728/personalized-medicine-in-interstitial-lung-diseases
#7
Paolo Spagnolo, Justin M Oldham, Mark G Jones, Joyce S Lee
PURPOSE OF REVIEW: A number of recent studies have explored the possibility to apply personalized medicine to interstitial lung diseases (ILDs), particularly idiopathic pulmonary fibrosis (IPF), the most common and deadly of the idiopathic interstitial pneumonias. In our review, we summarize and discuss the most recent literature on personalized medicine in IPF as well as hypersensitivity pneumonitis and sarcoidosis, with emphasis on patient subgroups for which a personalized approach to disease prognostication and management may become a reality in the near future...
February 13, 2017: Current Opinion in Pulmonary Medicine
https://www.readbyqxmd.com/read/28198666/design-connecting-gene-expression-with-therapeutics-for-drug-repurposing-and-development
#8
Bernard Kok Bang Lee, Kai Hung Tiong, Jit Kang Chang, Chee Sun Liew, Zainal Ariff Abdul Rahman, Aik Choon Tan, Tsung Fei Khang, Sok Ching Cheong
BACKGROUND: The drug discovery and development pipeline is a long and arduous process that inevitably hampers rapid drug development. Therefore, strategies to improve the efficiency of drug development are urgently needed to enable effective drugs to enter the clinic. Precision medicine has demonstrated that genetic features of cancer cells can be used for predicting drug response, and emerging evidence suggest that gene-drug connections could be predicted more accurately by exploring the cumulative effects of many genes simultaneously...
January 25, 2017: BMC Genomics
https://www.readbyqxmd.com/read/28197794/therapeutic-options-in-refractory-diabetic-macular-oedema
#9
Sanket U Shah, Raj K Maturi
Diabetic macular oedema (DMO) results from alterations of several biochemical pathways in diabetic eyes. Centre-involving DMO is an important cause of visual loss in diabetes. Anti-vascular endothelial growth factor agents are now the mainstay of centre-involving DMO treatment. Oedema that does not achieve optimal response to these agents occurs in a sizeable proportion of eyes and is called refractory or persistent DMO. Management of refractory DMO is challenging. In this paper, the pathophysiology of DMO, and the definitions used in various studies are summarised...
February 15, 2017: Drugs
https://www.readbyqxmd.com/read/28196072/genetic-prediction-of-male-pattern-baldness
#10
Saskia P Hagenaars, W David Hill, Sarah E Harris, Stuart J Ritchie, Gail Davies, David C Liewald, Catharine R Gale, David J Porteous, Ian J Deary, Riccardo E Marioni
Male pattern baldness can have substantial psychosocial effects, and it has been phenotypically linked to adverse health outcomes such as prostate cancer and cardiovascular disease. We explored the genetic architecture of the trait using data from over 52,000 male participants of UK Biobank, aged 40-69 years. We identified over 250 independent genetic loci associated with severe hair loss (P<5x10-8). By splitting the cohort into a discovery sample of 40,000 and target sample of 12,000, we developed a prediction algorithm based entirely on common genetic variants that discriminated (AUC = 0...
February 2017: PLoS Genetics
https://www.readbyqxmd.com/read/28193886/improved-regulatory-element-prediction-based-on-tissue-specific-local-epigenomic-signatures
#11
Yupeng He, David U Gorkin, Diane E Dickel, Joseph R Nery, Rosa G Castanon, Ah Young Lee, Yin Shen, Axel Visel, Len A Pennacchio, Bing Ren, Joseph R Ecker
Accurate enhancer identification is critical for understanding the spatiotemporal transcriptional regulation during development as well as the functional impact of disease-related noncoding genetic variants. Computational methods have been developed to predict the genomic locations of active enhancers based on histone modifications, but the accuracy and resolution of these methods remain limited. Here, we present an algorithm, regulatory element prediction based on tissue-specific local epigenetic marks (REPTILE), which integrates histone modification and whole-genome cytosine DNA methylation profiles to identify the precise location of enhancers...
February 13, 2017: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/28192170/a-new-approach-to-analyze-data-from-eeg-based-concealed-face-recognition-system
#12
A H Mehrnam, A M Nasrabadi, M Ghodoosi, A Mohammadian, Sh Torabi
The purpose of this study is to extend a feature set with non-linear features to improve classification rate of guilty and innocent subjects. Non-linear features can provide extra information about phase space. The Event-Related Potential (ERP) signals were recorded from 49 subjects who participated in concealed face recognition test. For feature extraction, at first, several morphological characteristics, frequency bands, and wavelet coefficients (we call them basic-features) are extracted from each single-trial ERP...
February 9, 2017: International Journal of Psychophysiology
https://www.readbyqxmd.com/read/28191464/construction-of-multilevel-structure-for-avian-influenza-virus-system-based-on-granular-computing
#13
Yang Li, Qi-Hao Liang, Meng-Meng Sun, Xu-Qing Tang, Ping Zhu
Exploring the genetic structure of influenza viruses attracts the attention in the field of molecular ecology and medical genetics, whose epidemics cause morbidity and mortality worldwide. The rapid variations in RNA strand and changes of protein structure of the virus result in low-accuracy subtyping identification and make it difficult to develop effective drugs and vaccine. This paper constructs the evolutionary structure of avian influenza virus system considering both hemagglutinin and neuraminidase protein fragments...
2017: BioMed Research International
https://www.readbyqxmd.com/read/28190610/optimised-analytical-models-of-the-dielectric-properties-of-biological-tissue
#14
Saqib Salahuddin, Emily Porter, Finn Krewer, Martin O' Halloran
The interaction of electromagnetic fields with the human body is quantified by the dielectric properties of biological tissues. These properties are incorporated into complex numerical simulations using parametric models such as Debye and Cole-Cole, for the computational investigation of electromagnetic wave propagation within the body. These parameters can be acquired through a variety of optimisation algorithms to achieve an accurate fit to measured data sets. A number of different optimisation techniques have been proposed, but these are often limited by the requirement for initial value estimations or by the large overall error (often up to several percentage points)...
February 9, 2017: Medical Engineering & Physics
https://www.readbyqxmd.com/read/28187888/a-survey-of-nature-inspired-algorithms-for-feature-selection-to-identify-parkinson-s-disease
#15
Prashant Shrivastava, Anupam Shukla, Praneeth Vepakomma, Neera Bhansali, Kshitij Verma
BACKGROUND AND OBJECTIVES: Parkinson's disease is a chronic neurological disorder that directly affects human gait. It leads to slowness of movement, causes muscle rigidity and tremors. Analyzing human gait serves to be useful in studies aiming at early recognition of the disease. In this paper we perform a comparative analysis of various nature inspired algorithms to select optimal features/variables required for aiding in the classification of affected patients from the rest. METHODS: For the experiments, we use a real life dataset of 166 people containing both healthy controls and affected people...
February 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28187495/differential-hpv16-variant-distribution-in-squamous-cell-carcinoma-adenocarcinoma-and-adenosquamous-cell-carcinoma
#16
S Nicolás-Párraga, L Alemany, S de Sanjosé, F X Bosch, I G Bravo
Human Papillomavirus 16 (HPV16) causes 70% of invasive cervical cancers (ICC) worldwide. Interaction between HPV16 genetic diversity, host genetics and target tissue largely determine the chances to trigger carcinogenesis. We have analysed the differential prevalence of viral variants in 233 HPV16-monoinfected squamous (SCC), glandular (ADC) and mixed (ADSC) ICCs from four continents, assessing the contribution of geographical origin and cancer histology. We have further quantified the contribution of viral variants and cancer histology to differences in age at tumour diagnosis...
February 10, 2017: International Journal of Cancer. Journal International du Cancer
https://www.readbyqxmd.com/read/28187417/a-machine-learning-approach-for-microrna-precursor-prediction-in-retro-transcribing-virus-genomes
#17
Müserref Duygu Saçar Demirci, Mustafa Toprak, Jens Allmer
Identification of microRNA (miRNA) precursors has seen increased efforts in recent years. The difficulty in experimental detection of pre-miRNAs increased the usage of computational approaches. Most of these approaches rely on machine learning especially classification. In order to achieve successful classification, many parameters need to be considered such as data quality, choice of classifier settings, and feature selection. For the latter one, we developed a distributed genetic algorithm on HTCondor to perform feature selection...
December 22, 2016: Journal of Integrative Bioinformatics
https://www.readbyqxmd.com/read/28185926/using-a-genetic-fuzzy-algorithm-as-a-computer-aided-diagnosis-tool-on-saudi-arabian-breast-cancer-database
#18
Abir Alharbi, F Tchier
The computer-aided diagnosis has become one of the major research topics in medical diagnostics. In this research paper, we focus on designing an automated computer diagnosis by combining two major methodologies, namely the fuzzy base systems and the evolutionary genetic algorithms and applying them to the Saudi Arabian breast cancer diagnosis database, to be employed for assisting physicians in the early detection of breast cancers, and hence obtaining an early-computerized diagnosis complementary to that by physicians...
February 6, 2017: Mathematical Biosciences
https://www.readbyqxmd.com/read/28182904/neuroscience-needs-behavior-correcting-a-reductionist-bias
#19
REVIEW
John W Krakauer, Asif A Ghazanfar, Alex Gomez-Marin, Malcolm A MacIver, David Poeppel
There are ever more compelling tools available for neuroscience research, ranging from selective genetic targeting to optogenetic circuit control to mapping whole connectomes. These approaches are coupled with a deep-seated, often tacit, belief in the reductionist program for understanding the link between the brain and behavior. The aim of this program is causal explanation through neural manipulations that allow testing of necessity and sufficiency claims. We argue, however, that another equally important approach seeks an alternative form of understanding through careful theoretical and experimental decomposition of behavior...
February 8, 2017: Neuron
https://www.readbyqxmd.com/read/28182476/evolving-the-keys-to-visual-crowding
#20
Erik Van der Burg, Christian N L Olivers, John Cass
Peripheral vision can be severely impaired by nearby clutter. Decades of research using sparse displays have established that this phenomenon, known as visual crowding, follows Bouma's rule: Interference occurs for target-distractor separations up to half the target's eccentricity. Although considered a fundamental constraint on human vision, it is unclear whether Bouma's rule holds in dense heterogeneous visual environments. Using a genetic algorithm we investigated crowding in densely cluttered displays. Participants were instructed to identify the orientation of a target line (6° eccentricity) among 284 distractor lines...
February 9, 2017: Journal of Experimental Psychology. Human Perception and Performance
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