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https://www.readbyqxmd.com/read/28821024/optimization-of-dextran-production-by-weissella-cibaria-nitcsk4-using-response-surface-methodology-genetic-algorithm-based-technology
#1
J Kanimozhi, I Ganesh Moorthy, R Sivashankar, V Sivasubramanian
The most influencing factor on dextran production by Weissella cibaria NITCSK4 were screened using Plackett Burman design at 95% confidence limit with higher value of co-efficient of determination (R(2)) 99.58%. The combined effects of significant factors, namely, sucrose, temperature, dipotassium hydrogen phosphate (K2HPO4) and yeast extract were studied and optimized using Response Surface Methodology (RSM). The input parameters of non-linear models predicted by RSM were subsequently optimized using the genetic algorithm (GA) for obtaining a maximum dextran yield...
October 15, 2017: Carbohydrate Polymers
https://www.readbyqxmd.com/read/28821015/extracting-replicable-associations-across-multiple-studies-empirical-bayes-algorithms-for-controlling-the-false-discovery-rate
#2
David Amar, Ron Shamir, Daniel Yekutieli
In almost every field in genomics, large-scale biomedical datasets are used to report associations. Extracting associations that recur across multiple studies while controlling the false discovery rate is a fundamental challenge. Here, we propose a new method to allow joint analysis of multiple studies. Given a set of p-values obtained from each study, the goal is to identify associations that recur in at least k > 1 studies while controlling the false discovery rate. We propose several new algorithms that differ in how the study dependencies are modeled, and compare them and extant methods under various simulated scenarios...
August 18, 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28820893/a-computational-method-for-the-identification-of-candidate-drugs-for-non-small-cell-lung-cancer
#3
Lei Chen, Jing Lu, Tao Huang, Yu-Dong Cai
Lung cancer causes a large number of deaths per year. Until now, a cure for this disease has not been found or developed. Finding an effective drug through traditional experimental methods invariably costs millions of dollars and takes several years. It is imperative that computational methods be developed to integrate several types of existing information to identify candidate drugs for further study, which could reduce the cost and time of development. In this study, we tried to advance this effort by proposing a computational method to identify candidate drugs for non-small cell lung cancer (NSCLC), a major type of lung cancer...
2017: PloS One
https://www.readbyqxmd.com/read/28820891/scene-text-detection-via-extremal-region-based-double-threshold-convolutional-network-classification
#4
Wei Zhu, Jing Lou, Longtao Chen, Qingyuan Xia, Mingwu Ren
In this paper, we present a robust text detection approach in natural images which is based on region proposal mechanism. A powerful low-level detector named saliency enhanced-MSER extended from the widely-used MSER is proposed by incorporating saliency detection methods, which ensures a high recall rate. Given a natural image, character candidates are extracted from three channels in a perception-based illumination invariant color space by saliency-enhanced MSER algorithm. A discriminative convolutional neural network (CNN) is jointly trained with multi-level information including pixel-level and character-level information as character candidate classifier...
2017: PloS One
https://www.readbyqxmd.com/read/28820889/altered-fetal-growth-placental-abnormalities-and-stillbirth
#5
Radek Bukowski, Nellie I Hansen, Halit Pinar, Marian Willinger, Uma M Reddy, Corette B Parker, Robert M Silver, Donald J Dudley, Barbara J Stoll, George R Saade, Matthew A Koch, Carol Hogue, Michael W Varner, Deborah L Conway, Donald Coustan, Robert L Goldenberg
BACKGROUND: Worldwide, stillbirth is one of the leading causes of death. Altered fetal growth and placental abnormalities are the strongest and most prevalent known risk factors for stillbirth. The aim of this study was to identify patterns of association between placental abnormalities, fetal growth, and stillbirth. METHODS AND FINDINGS: Population-based case-control study of all stillbirths and a representative sample of live births in 59 hospitals in 5 geographic areas in the U...
2017: PloS One
https://www.readbyqxmd.com/read/28820743/sleep-apnea-a-review-of-diagnostic-sensors-algorithms-and-therapies
#6
Mehdi Shokoueinejad, Chris Fernandez, Emily Carroll, Fa Wang, Jake Levin, Sam Rusk, Nick Glattard, Ashley Mulchrone, Xuan Zhang, Ailiang Xie, Mihaela Teodorescu, Jerome Dempsey, John Webster
While public awareness of sleep related disorders is growing, sleep apnea syndrome (SAS) remains a public health and economic challenge. Over the last two decades, extensive controlled epidemiologic research has clarified the incidence, risk factors including the obesity epidemic, and global prevalence of obstructive sleep apnea (OSA), as well as establishing a growing body of literature linking OSA with cardiovascular morbidity, mortality, metabolic dysregulation, and neurocognitive impairment. The US Institute of Medicine Committee on Sleep Medicine estimates that 50-70 million US adults have sleep or wakefulness disorders...
August 18, 2017: Physiological Measurement
https://www.readbyqxmd.com/read/28820740/subspace-based-interference-removal-methods-for-a-multichannel-biomagnetic-sensor-array
#7
Kensuke Sekihara, Srikantan S Nagarajan
OBJECTIVE: In biomagnetic signal processing, the theory of the signal subspace has been applied to removing interfering magnetic fields, and a representative algorithm is the signal space projection algorithm, in which the signal/interference subspace is defined in the spatial domain as the span of signal/interference-source lead field vectors. This paper extends the notion of this conventional (spatial domain) signal subspace by introducing a new definition of signal subspace in the time domain...
August 18, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28820496/energy-efficiency-maximization-for-wsns-with-simultaneous-wireless-information-and-power-transfer
#8
Hongyan Yu, Yongqiang Zhang, Songtao Guo, Yuanyuan Yang, Luyue Ji
Recently, the simultaneous wireless information and power transfer (SWIPT) technique has been regarded as a promising approach to enhance performance of wireless sensor networks with limited energy supply. However, from a green communication perspective, energy efficiency optimization for SWIPT system design has not been investigated in Wireless Rechargeable Sensor Networks (WRSNs). In this paper, we consider the tradeoffs between energy efficiency and three factors including spectral efficiency, the transmit power and outage target rate for two different modes, i...
August 18, 2017: Sensors
https://www.readbyqxmd.com/read/28820444/a-novel-partial-discharge-localization-method-in-substation-based-on-a-wireless-uhf-sensor-array
#9
Zhen Li, Lingen Luo, Nan Zhou, Gehao Sheng, Xiuchen Jiang
Effective Partial Discharge (PD) localization can detect the insulation problems of the power equipment in a substation and improve the reliability of power systems. Typical Ultra-High Frequency (UHF) PD localization methods are mainly based on time difference information, which need a high sampling rate system. This paper proposes a novel PD localization method based on a received signal strength indicator (RSSI) fingerprint to quickly locate the power equipment with potential insulation defects. The proposed method consists of two stages...
August 18, 2017: Sensors
https://www.readbyqxmd.com/read/28820438/tree-alignment-based-on-needleman-wunsch-algorithm-for-sensor-selection-in-smart-homes
#10
Sook-Ling Chua, Lee Kien Foo
Activity recognition in smart homes aims to infer the particular activities of the inhabitant, the aim being to monitor their activities and identify any abnormalities, especially for those living alone. In order for a smart home to support its inhabitant, the recognition system needs to learn from observations acquired through sensors. One question that often arises is which sensors are useful and how many sensors are required to accurately recognise the inhabitant's activities? Many wrapper methods have been proposed and remain one of the popular evaluators for sensor selection due to its superior accuracy performance...
August 18, 2017: Sensors
https://www.readbyqxmd.com/read/28820268/automated-transition-state-theory-calculations-for-high-throughput-kinetics
#11
Pierre L Bhoorasingh, Belinda L Slakman, Fariba Seyedzadeh Khanshan, Jason Y Cain, Richard Henry West
A scarcity of known chemical kinetic parameters leads to the use of many reaction rate estimates, which are not always sufficiently accurate, in the construction of detailed kinetic models. To reduce the reliance on these estimates and improve the accuracy of predictive kinetic models, we have developed a high-throughput, fully automated, reaction rate calculation method, AutoTST. The algorithm integrates automated saddle-point geometry search methods and a canonical transition state theory kinetics calculator...
August 18, 2017: Journal of Physical Chemistry. A
https://www.readbyqxmd.com/read/28820257/residues-comprising-the-enhanced-aromatic-sequon-influence-protein-n-glycosylation-efficiency
#12
Yen-Wen Huang, Hwai-I Yang, Ying-Ta Wu, Tsui-Ling Hsu, Tzu-Wen Lin, Jeffery W Kelly, Chi-Huey Wong
N-glycosylation is an important co- and/or post-translational modification that occurs on the vast majority of the 1/3 of the mammalian proteome that traverses the cellular secretory pathway, regulating glycoprotein folding and functions. Previous studies on the sequence requirements for N-glycosylation have yielded the Asn-X-Ser/Thr (NXS/T) sequon and the enhanced aromatic sequons (Phe-X-Asn-X-Thr and Phe-X-X-Asn-X-Thr) which can be efficiently N-glycosylated. To further investigate the influence of sequence variation on N-glycosylation efficiency in the context of a 5-residue enhanced aromatic sequon, we used the human CD2 adhesion domain (hCD2ad) to screen the i-2, i-1, i+1 and i+2 residues flanking Asn at the i position...
August 18, 2017: Journal of the American Chemical Society
https://www.readbyqxmd.com/read/28820192/comparison-of-classical-reaction-paths-and-tunneling-paths-studied-with-the-semiclassical-instanton-theory
#13
Jan Meisner, Max N Markmeyer, Matthias U Bohner, Johannes Kästner
Atom tunneling in the hydrogen atom transfer reaction of the 2,4,6-tri-tert-butylphenyl radical to 3,5-di-tert-butylneophyl, which has a short but strongly curved reaction path, was investigated using instanton theory. We found the tunneling path to deviate qualitatively from the classical intrinsic reaction coordinate, the steepest-descent path in mass-weighted Cartesian coordinates. To perform that comparison, we implemented a new variant of the predictor-corrector algorithm for the calculation of the intrinsic reaction coordinate...
August 18, 2017: Physical Chemistry Chemical Physics: PCCP
https://www.readbyqxmd.com/read/28820154/preliminary-validation-of-an-optimized-algorithm-for-intraocular-lens-power-calculation-in-keratoconus
#14
Vicente J Camps, David P Piñero, Esteban Caravaca, Dolores De Fez
PURPOSE: This study aimed to evaluate the theoretical influence on intraocular lens power (PIOL) calculation of the use of keratometric approach for corneal power (Pc) calculation in keratoconus and to develop and validate an algorithm preliminarily to minimize this influence. METHODS: Pcwas calculated theoretically with the classical keratometric approach, the Gaussian equation, and the keratometric approach using a variable keratometric index (nkadj) dependent on r1c(Pkadj)...
August 2017: Indian Journal of Ophthalmology
https://www.readbyqxmd.com/read/28820140/clarity-of-objectives-and-working-principles-enhances-the-success-of-biomimetic-programs
#15
Jonas Wolff, David Wells, Chris Reid, Sean John Blamires
Biomimetics, the transfer of functional principles from living systems into product designs, is increasingly being utilized by engineers. Nevertheless, recurring problems must be overcome if it is to avoid becoming a short-lived fad. Here we assess the efficiency and suitability of methods typically employed by examining three flagship examples of biomimetic design approaches from different disciplines: (1) the creation of gecko-inspired adhesives; (2) the synthesis of spider silk, and (3) the derivation of computer algorithms from natural self-organizing systems...
August 18, 2017: Bioinspiration & Biomimetics
https://www.readbyqxmd.com/read/28820026/pilot-validation-of-an-individualised-pharmacokinetic-algorithm-for-protamine-dosing-after-systemic-heparinisation-for-cardiopulmonary-bypass
#16
Lachlan F Miles, Paolo Marchiori, Florian Falter
INTRODUCTION: This manuscript represents a pilot study assessing the feasibility of a single-compartment, individualised, pharmacokinetic algorithm for protamine dosing after cardiopulmonary bypass. METHODS: A pilot cohort study in a specialist NHS cardiothoracic hospital targeting patients undergoing elective cardiac surgery using cardiopulmonary bypass. Patients received protamine doses according to a pharmacokinetic algorithm (n = 30) or using an empirical, fixed-dose model (n = 30)...
September 2017: Perfusion
https://www.readbyqxmd.com/read/28820013/diagnostic-performance-of-central-vein-sign-for-multiple-sclerosis-with-a-simplified-three-lesion-algorithm
#17
Andrew J Solomon, Richard Watts, Daniel Ontaneda, Martina Absinta, Pascal Sati, Daniel S Reich
BACKGROUND: Detection of a "central vein sign" (CVS) on FLAIR* magnetic resonance imaging (MRI) is highly specific and sensitive for multiple sclerosis (MS). We evaluated the specificity and sensitivity of simplified CVS algorithms for MS diagnosis. METHODS: MRIs from 10 participants with MS without additional comorbidities for MRI white matter abnormalities; 10 with MS and additional comorbidities for white matter abnormalities; 10 with migraine, white matter abnormalities, and no additional comorbidities; and 10 who had previously been erroneously diagnosed with MS were evaluated...
August 1, 2017: Multiple Sclerosis: Clinical and Laboratory Research
https://www.readbyqxmd.com/read/28819981/highly-efficient-guiding-of-motile-microtubules-on-non-topographical-motor-patterns
#18
Cordula Reuther, Matthäus Mittasch, Sundar Naganathan, Stephan Grill, Stefan Diez
Molecular motors, highly-efficient biological nano-machines, hold the potential to be employed for a wide range of nanotechnological applications. Towards this end, kinesin, dynein or myosin motor proteins are commonly surface-immobilized within engineered environments in order to transport cargo attached to cytoskeletal filaments. Being able to flexibly control the direction of filament motion - in particular on planar, non-topographical surfaces - has, however, remained challenging. Here, we demonstrate the applicability of a UV-laser-based ablation technique to programmably generate highly-localized patterns of functional kinesin-1 motors with different shapes and sizes on PLL-g-PEG-coated polystyrene surfaces...
August 18, 2017: Nano Letters
https://www.readbyqxmd.com/read/28819891/optimizing-through-computational-modeling-to-reduce-dogboning-of-functionally-graded-coronary-stent-material
#19
Arezoo Khosravi, Amir Akbari, Hossein Bahreinizad, Milad Salimi Bani, Alireza Karimi
Coronary artery disease is the leading cause of death among the men and women. One of the most suitable treatments for this problem is balloon angioplasty with stenting. Functionally graded material (FGM) stents have shown suitable mechanical behavior in simulations. While their deformation was superior to uniform materials, the study was aimed at finding the most suitable configuration to reach the optimum performance. A combination of finite element method (FEM) and optimization algorithm have been used to fulfil this objective...
August 17, 2017: Journal of Materials Science. Materials in Medicine
https://www.readbyqxmd.com/read/28819825/ceus-li-rads-algorithm-implementation-and-key-differences-from-ct-mri
#20
Stephanie R Wilson, Andrej Lyshchik, Fabio Piscaglia, David Cosgrove, Hyun-Jung Jang, Claude Sirlin, Christoph F Dietrich, Tae Kyoung Kim, Juergen K Willmann, Yuko Kono
Contrast-enhanced ultrasound (CEUS) is a specialized form of ultrasound (US) performed with an intravenous injection of microbubble contrast agents. It has been successfully used for a variety of applications including characterization of liver tumors. In April 2014, the American College of Radiology (ACR) convened a working group of international experts to develop ACR CEUS Liver Imaging Reporting and Data System (CEUS LI-RADS). An initial version of CEUS LI-RADS was published in August 2016. Although the CEUS LI-RADS concept and principles for liver lesion characterization, using dynamic contrast enhancement features, are similar to those for CT or MRI, there are significant differences between CT/MRI and CEUS LI-RADS...
August 17, 2017: Abdominal Radiology
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