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https://www.readbyqxmd.com/read/28092868/a-practical-evaluation-of-measurement-uncertainty-in-gamma-ray-efficiency-curve-determination-through-an-analytical-approach
#1
Katsuhiro Shirono, Yasuhiro Unno, Rio Furukawa, Chushiro Yonezawa
An example of uncertainty evaluation of an efficiency curve is reported. In the applied method, the efficiency curve is determined through the weighted least square method based on measured efficiencies employing a mixed-radionuclide standard source. The variance-covariance matrix of the efficiencies is determined by evaluating the uncertainties of the counting, the calibrated radioactivities, the correction factors for true coincidence summing, and the inadequacy of the fitting function. The proposed method can be a basis to develop a more general procedure...
December 15, 2016: Applied Radiation and Isotopes
https://www.readbyqxmd.com/read/28092851/plasmid-dna-affinity-partitioning-using-polyethylene-glycol-sodium-sulfate-aqueous-two-phase-systems
#2
Behzad Nazer, Mohammad Reza Dehghani, Bahram Goliaei
Extraction of plasmid DNA (pDNA) from an alkaline bacterial cell lysate has been investigated using partitioning and affinity partitioning in aqueous two-phase systems (ATPSs) containing 12% (w/w) polyethylene glycol and 12% (w/w) sodium sulfate. In this work, a modified 20bp pyrimidine oligonucleotide acting as a triplex-forming oligonucleotide (TFO) was employed as an affinity ligand to improve the partition behavior. The pUC118 plasmid was chosen to be extracted because of its specific oligonucleotide recognition sequence...
January 3, 2017: Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences
https://www.readbyqxmd.com/read/28092831/dft-study-on-the-chemical-sensing-properties-of-b24n24-nanocage-toward-formaldehyde
#3
Zahra Rostami, Mansoureh Pashangpour, Reza Moradi
It has been previously shown that the toxic formaldehyde gas (H2CO) cannot be detected by pristine BC2N, carbon, and BN nanotubes, BC3 nanosheet and graphene. Herein, density functional theory calculations were employed to investigate the electronic and structural behavior of a pristine B24N24 nanocluster toward H2CO molecules. It was found that [4,6] BN bonds of the nanocluster are the most favorable sites for the H2CO adsorption, compared to the [4,8], and [6,8] ones. When an H2CO molecule is adsorbed on a [4,6] BN bond, an energy of about 16...
December 26, 2016: Journal of Molecular Graphics & Modelling
https://www.readbyqxmd.com/read/28092807/application-of-the-dreadd-technique-in-biomedical-brain-research
#4
REVIEW
Grzegorz Dobrzanski, Małgorzata Kossut
The DREADD (Designer Receptors Exclusively Activated by Designer Drugs) technique is a new chemogenetic approach allowing for selective and remote control of neural activity with a high degree of spatial resolution. Since its discovery in 2007 the DREADD technique was successfully employed into basic research, and together with the optogenetic method provided so far the best tool to influence the activity of the brain circuits and cell populations. The first aim of this review was to concisely describe the technique with regard to such issues like the history of its development, biochemistry as well as modes of the designer receptors delivery and expression...
October 29, 2016: Pharmacological Reports: PR
https://www.readbyqxmd.com/read/28092796/global-open-data-management-in-metabolomics
#5
REVIEW
Kenneth Haug, Reza M Salek, Christoph Steinbeck
Chemical Biology employs chemical synthesis, analytical chemistry and other tools to study biological systems. Recent advances in both molecular biology such as next generation sequencing (NGS) have led to unprecedented insights towards the evolution of organisms' biochemical repertoires. Because of the specific data sharing culture in Genomics, genomes from all kingdoms of life become readily available for further analysis by other researchers. While the genome expresses the potential of an organism to adapt to external influences, the Metabolome presents a molecular phenotype that allows us to asses the external influences under which an organism exists and develops in a dynamic way...
January 13, 2017: Current Opinion in Chemical Biology
https://www.readbyqxmd.com/read/28092758/between-a-rock-and-a-hard-place-economic-expansion-and-social-responsibility-in-uk-media-discourses-on-the-global-alcohol-industry
#6
Mary Thornton, Benjamin Hawkins
CONTEXT: Transnational alcohol corporations (TACs) employ a range of strategies to achieve their business objectives, including attempts to frame perceptions of their activities in media debates. TACs aim to achieve a favourable regulatory environment by presenting themselves as socially responsible actors. However, the need to secure financial investment means they must also emphasise their potential for growth. This article investigates tensions between these objectives in coverage of the global alcohol industry in the UK print media...
January 4, 2017: Social Science & Medicine
https://www.readbyqxmd.com/read/28092751/the-effect-of-listing-the-lesser-prairie-chicken-as-a-threatened-species-on-rural-property-values
#7
Derek C Wietelman, Richard T Melstrom
This paper estimates the effect of Endangered Species Act protections for the lesser prairie chicken (Tympanuchus pallidicinctus) on rural property values in Oklahoma. The political and legal controversy surrounding the listing of imperiled species raises questions about the development restrictions and opportunity costs the Endangered Species Act imposes on private landowners. Examining parcel-level sales data before and after the listing of the endemic lesser prairie chicken, we employ difference-in-differences (DD) regression to measure the welfare costs of these restrictions...
January 13, 2017: Journal of Environmental Management
https://www.readbyqxmd.com/read/28092693/pathogenic-streptococcus-strains-employ-novel-escape-strategy-to-inhibit-bacteriostatic-effect-mediated-by-mammalian-peptidoglycan-recognition-protein
#8
Jing Wang, Youjun Feng, Changjun Wang, Swaminath Srinivas, Chen Chen, Hui Liao, Elaine He, Shibo Jiang, Jiaqi Tang
Pathogenic streptococcal species are responsible for some of the most lethal and prevalent animal and human infections. Previous reports have identified a candidate pathogenicity island (PAI) in two highly virulent clinical isolates of Streptococcus suis type 2 (SS2), a causative agent of high-mortality streptococcal toxic shock syndrome (STSS). This PAI contains a Type-IVC secretion system C subgroup (Type-IVC secretion system) that is involved in the secretion of unknown pathogenic effectors that are responsible for STSS caused by highly virulent strains of SS2...
January 16, 2017: Cellular Microbiology
https://www.readbyqxmd.com/read/28092638/mr-elastography-to-measure-the-effects-of-cancer-and-pathology-fixation-on-prostate-biomechanics-and-comparison-with-t-1-t-2-and-adc
#9
Deirdre M McGrath, Jenny Lee, Warren D Foltz, Navid Samavati, Theo van der Kwast, Michael A S Jewett, Peter Chung, Cynthia Ménard, Kristy K Brock
MRI is under evaluation for image-guided intervention for prostate cancer. The sensitivity and specificity of MRI parameters is determined via correlation with the gold-standard of histopathology. Whole-mount histopathology of prostatectomy specimens can be digitally registered to in vivo imaging for correlation. When biomechanical-based deformable registration is employed to account for deformation during histopathology processing, the ex vivo biomechanical properties are required. However, these properties are altered by pathology fixation, and vary with disease...
February 7, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/28092631/optoelectrofluidic-printing-system-for-fabricating-hydrogel-sheets-with-on-demand-patterned-cells-and-microparticles
#10
Hyun Ji Gi, Dongsik Han, Je-Kyun Park
This paper presents a novel optoelectrofluidic printing system that facilitates not only the optoelectrofluidic patterning of microparticles and mammalian cells but also the harvesting of the patterned microparticles encapsulated within poly(ethylene glycol) dicarylate (PEGDA) hydrogel sheets. Although optoelectrofluidic technology has numerous advantages for programmable and on-demand patterning and the feasibility of manipulating single microparticles, practical applications using existing laboratory infrastructure in biological and clinical research fields have been strictly restricted due to the impossibility of recovering the final patterned product...
January 16, 2017: Biofabrication
https://www.readbyqxmd.com/read/28092596/a-general-framework-of-dynamic-constrained-multiobjective-evolutionary-algorithms-for-constrained-optimization
#11
Sanyou Zeng, Ruwang Jiao, Changhe Li, Xi Li, Jawdat S Alkasassbeh
A novel multiobjective technique is proposed for solving constrained optimization problems (COPs) in this paper. The method highlights three different perspectives: 1) a COP is converted into an equivalent dynamic constrained multiobjective optimization problem (DCMOP) with three objectives: a) the original objective; b) a constraint-violation objective; and c) a niche-count objective; 2) a method of gradually reducing the constraint boundary aims to handle the constraint difficulty; and 3) a method of gradually reducing the niche size aims to handle the multimodal difficulty...
January 16, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28092595/command-filter-based-adaptive-neural-tracking-controller-design-for-uncertain-switched-nonlinear-output-constrained-systems
#12
Ben Niu, Yanjun Liu, Guangdeng Zong, Zhaoyu Han, Jun Fu
In this paper, a new adaptive approximation-based tracking controller design approach is developed for a class of uncertain nonlinear switched lower-triangular systems with an output constraint using neural networks (NNs). By introducing a novel barrier Lyapunov function (BLF), the constrained switched system is first transformed into a new system without any constraint, which means the control objectives of the both systems are equivalent. Then command filter technique is applied to solve the so-called "explosion of complexity" problem in traditional backstepping procedure, and radial basis function NNs are directly employed to model the unknown nonlinear functions...
January 16, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28092592/adaptive-fuzzy-bounded-control-for-consensus-of-multiple-strict-feedback-nonlinear-systems
#13
Wei Wang, Shaocheng Tong
This paper studies the adaptive fuzzy bounded control problem for leader-follower multiagent systems, where each follower is modeled by the uncertain nonlinear strict-feedback system. Combining the fuzzy approximation with the dynamic surface control, an adaptive fuzzy control scheme is developed to guarantee the output consensus of all agents under directed communication topologies. Different from the existing results, the bounds of the control inputs are known as a priori, and they can be determined by the feedback control gains...
January 10, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28092589/policy-iteration-for-h%C3%A2-optimal-control-of-polynomial-nonlinear-systems-via-sum-of-squares-programming
#14
Yuanheng Zhu, Dongbin Zhao, Xiong Yang, Qichao Zhang
Sum of squares (SOS) polynomials have provided a computationally tractable way to deal with inequality constraints appearing in many control problems. It can also act as an approximator in the framework of adaptive dynamic programming. In this paper, an approximate solution to the H∞ optimal control of polynomial nonlinear systems is proposed. Under a given attenuation coefficient, the Hamilton-Jacobi-Isaacs equation is relaxed to an optimization problem with a set of inequalities. After applying the policy iteration technique and constraining inequalities to SOS, the optimization problem is divided into a sequence of feasible semidefinite programming problems...
January 10, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28092573/environment-sensitivity-based-cooperative-co-evolutionary-algorithms-for-dynamic-multi-objective-optimization
#15
Biao Xu, Yong Zhang, Dunwei Gong, Yinan Guo, Miao Rong
Dynamic multi-objective optimization problems (DMOPs) not only involve multiple conflicting objectives, but these objectives may also vary with time, raising a challenge for researchers to solve them. This paper presents a cooperative co-evolutionary strategy based on environment sensitivities for solving DMOPs. In this strategy, a new method that groups decision variables is first proposed, in which all the decision variables are partitioned into two subcomponents according to their interrelation with environment...
January 16, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28092569/discovery-of-micrornas-and-transcription-factors-co-regulatory-modules-by-integrating-multiple-types-of-genomic-data
#16
Jiawei Luo, Gen Xiang, Chu Pan
It is well known that regulators known as microRNA (miRNA) and transcription factor (TF) have been found to play an important role in gene regulation. However, there are few researches of collaborative regulatory (co-regulatory) mechanism between miRNA and TF on system level (function level). Meanwhile, recent advances in high-throughput genomic technologies have enabled researchers to collect diverse large-scale genomic data, which can be used to study the co-regulatory mechanism between miRNA and TF. In this paper, we propose a novel method called SNCoNMF (Sparse Network regularized non-negative matrix factorization for Co-regulatory modules identification) which adopts multiple non-negative matrix factorization framework to identify co-regulatory modules including miRNAs, TFs and genes...
January 9, 2017: IEEE Transactions on Nanobioscience
https://www.readbyqxmd.com/read/28092554/graph-laplacian-regularization-for-image-denoising-analysis-in-the-continuous-domain
#17
Jiahao Pang, Gene Cheung
Inverse imaging problems are inherently underdetermined, and hence it is important to employ appropriate image priors for regularization. One recent popular prior- the graph Laplacian regularizer-assumes that the target pixel patch is smooth with respect to an appropriately chosen graph. However, the mechanisms and implications of imposing the graph Laplacian regularizer on the original inverse problem are not well understood. To address this problem, in this paper we interpret neighborhood graphs of pixel patches as discrete counterparts of Riemannian manifolds and perform analysis in the continuous domain, providing insights into several fundamental aspects of graph Laplacian regularization for image denoising...
January 11, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28092553/deep-aesthetic-quality-assessment-with-semantic-information
#18
Yueying Kao, Ran He, Kaiqi Huang
Human beings often assess the aesthetic quality of an image coupled with the identification of the image's semantic content. This paper addresses the correlation issue between automatic aesthetic quality assessment and semantic recognition. We cast the assessment problem as the main task among a multitask deep model, and argue that semantic recognition task offers the key to address this problem. Based on convolutional neural networks, we employ a single and simple multi-task framework to efficiently utilize the supervision of aesthetic and semantic labels...
January 11, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28092552/discriminative-elastic-net-regularized-linear-regression
#19
Zheng Zhang, Zhihui Lai, Yong Xu, Ling Shao, Jian Wu, Guo-Sen Xie
In this paper, we aim at learning compact and discriminative linear regression models. Linear regression has been widely used in different problems. However, most of the existing linear regression methods exploit the conventional zeroone matrix as the regression targets, which greatly narrows the flexibility of the regression model. Another major limitation of theses methods is that the learned projection matrix fails to precisely project the image features to the target space due to their weak discriminative capability...
January 11, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28092521/measuring-and-predicting-tag-importance-for-image-retrieval
#20
Shangwen Li, Sanjay Purushotham, Chen Chen, Yuzhuo Ren, C-C Jay Kuo
Textual data such as tags, sentence descriptions are combined with visual cues to reduce the semantic gap for image retrieval applications in today's Multimodal Image Retrieval (MIR) systems. However, all tags are treated as equally important in these systems, which may result in misalignment between visual and textual modalities during MIR training. This will further lead to degenerated retrieval performance at query time. To address this issue, we investigate the problem of tag importance prediction, where the goal is to automatically predict the tag importance and use it in image retrieval...
January 11, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
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