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https://www.readbyqxmd.com/read/28102829/absorbed-dose-evaluation-of-auger-electron-emitting-radionuclides-impact-of-input-decay-spectra-on-dose-point-kernels-and-s-values
#1
Nadia Falzone, Boon Lee, José Fernández-Varea, Christiana Kartsonaki, Andrew Stuchbery, Tibor Kibedi, Katherine Vallis
AIM: The aim of this study was to investigate the impact of decay data provided by the newly developed stochastic atomic relaxation model <i>BrIccEmis</i> on dose point kernels (DPKs- radial dose distribution around a unit point source) and <i>S</i>-values (absorbed dose per unit cumulated activity) of 14 Auger electron (AE) emitting radionuclides, namely <sup>67</sup>Ga, <sup>80m</sup>Br, <sup>89</sup>Zr, <sup>90</sup>Nb, <sup>99m</sup>Tc, <sup>111</sup>In, <sup>117m</sup>Sn, <sup>119</sup>Sb, <sup>123</sup>I, <sup>124</sup>I, <sup>125</sup>I, <sup>135</sup>La, <sup>195m</sup>Pt and <sup>201</sup>Tl...
January 19, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/28102757/dysbiosis-in-crohn-s-disease-joint-action-of-stochastic-injuries-and-focal-inflammation-in-the-gut
#2
Ludovica F Buttó, Dirk Haller
Gut homeostasis involves interrelated biological networks that include the immune system, specialized cells of the epithelium, such as Paneth and goblet cells, as well as triggers derived from the microbiota. Disruption of these homeostatic interactions may lead to the pathogenesis of inflammatory bowel diseases (IBD). To develop more targeted and individual treatments in Crohn's disease and ulcerative colitis, it becomes more and more important to link key mechanisms of the disease pathogenesis to distinct IBD subsets...
January 19, 2017: Gut Microbes
https://www.readbyqxmd.com/read/28102666/a-simulation-approach-for-timing-analysis-of-genetic-logic-circuits
#3
Hasan Baig, Jan Madsen
Constructing genetic logic circuits is an application of synthetic biology, where parts of the DNA of a living cell are engineered to perform a dedicated Boolean function triggered by appropriate concentration levels of certain proteins or by different genetic components. These logic circuits work in a manner similar to electronic logic circuits, but are much more stochastic and hence much harder to characterize. In this paper, we introduce an approach to analyze the threshold value and timing of genetic logic circuits...
January 19, 2017: ACS Synthetic Biology
https://www.readbyqxmd.com/read/28102174/modeling-dynamics-of-mutants-in-heterogeneous-stem-cell-niche
#4
Leili Shahriyari, Ali Mahdipour Shirayeh
Studying the stem cell (SC) niche architecture is a crucial step for investigating the process of oncogenesis and obtaining an effective stem cell therapy for various cancers. Recently, it has been observed that there are two groups of SCs in the SC niche collaborating with each other to maintain tissue homeostasis: border stem cells (BSCs), which are responsible in controlling the number of non-stem cells as well as stem cells, and central stem cells (CeSCs), which regulate the SC niche. Here, we develop a bi-compartmental stochastic model for the SC niche to study the spread of mutants within the niche...
January 19, 2017: Physical Biology
https://www.readbyqxmd.com/read/28101746/music-preferences-friendship-and-externalizing-behavior-in-early-adolescence-a-siena-examination-of-the-music-marker-theory-using-the-snare-study
#5
Aart Franken, Loes Keijsers, Jan Kornelis Dijkstra, Tom Ter Bogt
Music Marker Theory posits that music is relevant for the structuring of peer groups and that rock, urban, or dance music preferences relate to externalizing behavior. The present study tested these hypotheses, by investigating the role of music preference similarity in friendship selection and the development of externalizing behavior, while taking the effects of friends' externalizing behavior into account. Data were used from the first three waves of the SNARE (Social Network Analysis of Risk behavior in Early adolescence) study (N = 1144; 50% boys; M age = 12...
January 18, 2017: Journal of Youth and Adolescence
https://www.readbyqxmd.com/read/28101632/a-discrete-time-model-for-population-persistence-in-habitats-with-time-varying-sizes
#6
Ying Zhou, William F Fagan
In this paper, we use periodic and stochastic integrodifference models to study the persistence of a single-species population in a habitat with temporally varying sizes. We extend a persistence metric for integral operators on bounded domains to that of integral operators on unbounded domains. Using this metric in the periodic model, we present new perspectives of the critical habitat size problem in the case of dynamically changing habitat sizes. Specifically, we extend the concept of critical habitat size to that of lower minimal limit size in a period-2 scenario, and prove the existence of the lower minimal limit size...
January 18, 2017: Journal of Mathematical Biology
https://www.readbyqxmd.com/read/28100667/the-control-of-translational-accuracy-is-a-determinant-of-healthy-ageing-in-yeast
#7
Tobias von der Haar, Jane E Leadsham, Aimie Sauvadet, Daniel Tarrant, Ilectra S Adam, Kofo Saromi, Peter Laun, Mark Rinnerthaler, Hannelore Breitenbach-Koller, Michael Breitenbach, Mick F Tuite, Campbell W Gourlay
Life requires the maintenance of molecular function in the face of stochastic processes that tend to adversely affect macromolecular integrity. This is particularly relevant during ageing, as many cellular functions decline with age, including growth, mitochondrial function and energy metabolism. Protein synthesis must deliver functional proteins at all times, implying that the effects of protein synthesis errors like amino acid misincorporation and stop-codon read-through must be minimized during ageing. Here we show that loss of translational accuracy accelerates the loss of viability in stationary phase yeast...
January 2017: Open Biology
https://www.readbyqxmd.com/read/28100591/dynamics-and-fate-of-beneficial-mutations-under-lineage-contamination-by-linked-deleterious-mutations
#8
Sophie Pénisson, Tanya Singh, Paul Sniegowski, Philip Gerrish
Beneficial mutations drive adaptive evolution, yet their selective advantage does not ensure their fixation. Haldane's application of single-type branching process theory showed that genetic drift alone could cause the extinction of newly-arising beneficial mutations with high probability. With linkage, deleterious mutations will affect the dynamics of beneficial mutations and might further increase their extinction probability. Here, we model the lineage dynamics of a newly-arising beneficial mutation as a multitype branching process...
January 18, 2017: Genetics
https://www.readbyqxmd.com/read/28100346/-impact-of-cd137-cd137l-signaling-mediated-exocytosis-of-autophagosome-within-vascular-smooth-muscle-cells-on-the-formation-of-atherosclerotic-calcification
#9
B Li, X Y Li, W Zhong, C Shao, Z Q Wang, W Yuan, J C Yan
Objective: To explore whether CD137-CD137L signaling mediated exocytosis of autophagosome within vascular smooth muscle cells (VSMCs) could influence the formation of atherosclerotic calcification. Methods: Fifteen 8-week-old male ApoE(-/-)(C57BL/6J-KO) mice fed with high fat diet for 5 weeks were randomly divided into three groups by using stochastic indicator method as follows: control group, n=5; agonist-CD137 group: agonist-CD137 antibody 200 μg/2 weeks for 4 weeks, ip, n=5; anti-CD137 group: 200 μg anti-CD137 antibody+ 200 μg agonist-CD137 antibody/2 weeks for 4 weeks, ip, n=5...
January 25, 2017: Zhonghua Xin Xue Guan Bing za Zhi
https://www.readbyqxmd.com/read/28099868/pdc-sgb-prediction-of-effective-drug-combinations-using-a-stochastic-gradient-boosting-algorithm
#10
Qian Xu, Yi Xiong, Hao Dai, Kotni Meena Kumari, Qin Xu, Hong-Yu Ou, Dong-Qing Wei
Combinatorial therapy is a promising strategy for combating complex diseases by improving the efficacy and reducing the side effects. To facilitate the identification of drug combinations in pharmacology, we proposed a new computational model, termed PDC-SGB, to predict effective drug combinations by integrating biological, chemical and pharmacological information based on a stochastic gradient boosting algorithm. To begin with, a set of 352 golden positive samples were collected from the public drug combination database...
January 15, 2017: Journal of Theoretical Biology
https://www.readbyqxmd.com/read/28099018/reactive-ni-al-nanocomposites-structural-characteristics-and-activation-energy
#11
Christopher E Shuck, Alexander S Mukasyan
Stochastically structured Ni/Al reactive nanocomposites (RNCs) were prepared using short term high-energy ball milling. Differing milling times were utilized to prepared RNCs with differing internal nanostructures. These internal structures were quantitatively and statistically analyzed by use of serial focused ion beam sectioning coupled with 3D reconstruction techniques. The reaction kinetics were analyzed using the electrothermal explosion technique for each milling condition. It is shown that the effective activation energy (Eef) ranges from 79-137 kJ/mol and is directly related to the surface area contact between the reactants...
January 18, 2017: Journal of Physical Chemistry. A
https://www.readbyqxmd.com/read/28098750/cluster-based-maximum-consensus-time-synchronization-for-industrial-wireless-sensor-networks
#12
Zhaowei Wang, Peng Zeng, Mingtuo Zhou, Dong Li, Jintao Wang
Time synchronization is one of the key technologies in Industrial Wireless Sensor Networks (IWSNs), and clustering is widely used in WSNs for data fusion and information collection to reduce redundant data and communication overhead. Considering IWSNs' demand for low energy consumption, fast convergence, and robustness, this paper presents a novel Cluster-based Maximum consensus Time Synchronization (CMTS) method. It consists of two parts: intra-cluster time synchronization and inter-cluster time synchronization...
January 13, 2017: Sensors
https://www.readbyqxmd.com/read/28098244/stochastic-evolution-in-populations-of-ideas
#13
Robin Nicole, Peter Sollich, Tobias Galla
It is known that learning of players who interact in a repeated game can be interpreted as an evolutionary process in a population of ideas. These analogies have so far mostly been established in deterministic models, and memory loss in learning has been seen to act similarly to mutation in evolution. We here propose a representation of reinforcement learning as a stochastic process in finite 'populations of ideas'. The resulting birth-death dynamics has absorbing states and allows for the extinction or fixation of ideas, marking a key difference to mutation-selection processes in finite populations...
January 18, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28097060/why-choose-random-forest-to-predict-rare-species-distribution-with-few-samples-in-large-undersampled-areas-three-asian-crane-species-models-provide-supporting-evidence
#14
Chunrong Mi, Falk Huettmann, Yumin Guo, Xuesong Han, Lijia Wen
Species distribution models (SDMs) have become an essential tool in ecology, biogeography, evolution and, more recently, in conservation biology. How to generalize species distributions in large undersampled areas, especially with few samples, is a fundamental issue of SDMs. In order to explore this issue, we used the best available presence records for the Hooded Crane (Grus monacha, n = 33), White-naped Crane (Grus vipio, n = 40), and Black-necked Crane (Grus nigricollis, n = 75) in China as three case studies, employing four powerful and commonly used machine learning algorithms to map the breeding distributions of the three species: TreeNet (Stochastic Gradient Boosting, Boosted Regression Tree Model), Random Forest, CART (Classification and Regression Tree) and Maxent (Maximum Entropy Models)...
2017: PeerJ
https://www.readbyqxmd.com/read/28096490/comprehensive-essentiality-analysis-of-the-mycobacterium-tuberculosis-genome-via-saturating-transposon-mutagenesis
#15
Michael A DeJesus, Elias R Gerrick, Weizhen Xu, Sae Woong Park, Jarukit E Long, Cara C Boutte, Eric J Rubin, Dirk Schnappinger, Sabine Ehrt, Sarah M Fortune, Christopher M Sassetti, Thomas R Ioerger
: For decades, identifying the regions of a bacterial chromosome that are necessary for viability has relied on mapping integration sites in libraries of random transposon mutants to find loci that are unable to sustain insertion. To date, these studies have analyzed subsaturated libraries, necessitating the application of statistical methods to estimate the likelihood that a gap in transposon coverage is the result of biological selection and not the stochasticity of insertion. As a result, the essentiality of many genomic features, particularly small ones, could not be reliably assessed...
January 17, 2017: MBio
https://www.readbyqxmd.com/read/28095930/quantitative-risk-assessment-of-the-introduction-of-rabies-into-japan-through-the-importation-of-dogs-and-cats-worldwide
#16
N C L Kwan, K Sugiura, Y Hosoi, A Yamada, E L Snary
Japan has been free from rabies since 1958. A strict import regimen has been adopted since 2004 consisting of identification of an animal with microchip, two-time rabies vaccination, neutralizing antibody titration test and a waiting period of 180 days. The present study aims to quantitatively assess the risk of rabies introduction into Japan through the international importation of dogs and cats and hence provide evidence-based recommendations to strengthen the current rabies prevention system. A stochastic scenario tree model was developed and simulations were run using @RISK...
January 18, 2017: Epidemiology and Infection
https://www.readbyqxmd.com/read/28095403/a-likelihood-approach-for-real-time-calibration-of-stochastic-compartmental-epidemic-models
#17
Christoph Zimmer, Reza Yaesoubi, Ted Cohen
Stochastic transmission dynamic models are especially useful for studying the early emergence of novel pathogens given the importance of chance events when the number of infectious individuals is small. However, methods for parameter estimation and prediction for these types of stochastic models remain limited. In this manuscript, we describe a calibration and prediction framework for stochastic compartmental transmission models of epidemics. The proposed method, Multiple Shooting for Stochastic systems (MSS), applies a linear noise approximation to describe the size of the fluctuations, and uses each new surveillance observation to update the belief about the true epidemic state...
January 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28095193/semisupervised-multilabel-multi-instance-learning-for-structured-data
#18
Hossein Soleimani, David J Miller
Many classification tasks require both labeling objects and determining label associations for parts of each object. Example applications include labeling segments of images or determining relevant parts of a text document when the training labels are available only at the image or document level. This task is usually referred to as multi-instance (MI) learning, where the learner typically receives a collection of labeled (or sometimes unlabeled) bags, each containing several segments (instances). We propose a semisupervised MI learning method for multilabel classification...
January 17, 2017: Neural Computation
https://www.readbyqxmd.com/read/28094092/step-by-step-cell-by-cell-quantification-of-the-bacterial-cell-cycle
#19
REVIEW
Matteo Osella, Sander J Tans, Marco Cosentino Lagomarsino
The Escherichia coli cell cycle is a classic, but we are still missing some of its essential aspects. The reason is that our knowledge is mostly based on population data, and our grasp of the behavior of single cells is still very limited. Today, new dynamic single-cell data promise to overcome this barrier. Existing data from single cells have already led to findings and hypotheses that challenge standard views, and have raised new questions. Here, we review these recent developments and propose that a systematic exploration of the correlation patterns between 'cell-cycle intervals' defined by key molecular events measured in many single cells could lead to a quantitative characterization of the cell cycle in terms of inherent stochasticity and homeostatic controls...
January 13, 2017: Trends in Microbiology
https://www.readbyqxmd.com/read/28093728/meta-analysis-of-the-potential-economic-impact-following-introduction-of-absorbable-antimicrobial-sutures
#20
REVIEW
D J Leaper, C E Edmiston, C E Holy
BACKGROUND: Despite several randomized trials, systematic reviews and meta-analyses that have demonstrated the effectiveness of antimicrobial (triclosan-coated or -impregnated) sutures (TCS), the clinical and economic impact of using these sutures compared with conventional non-antimicrobial-coated absorbable sutures (NCS) remains poorly documented. METHODS: An independent systematic review and meta-analysis of all published evidence from January 2005 to September 2016 comparing TCS with NCS was conducted...
January 17, 2017: British Journal of Surgery
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