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https://www.readbyqxmd.com/read/28339103/iterative-dataset-optimization-in-automated-planning-implementation-for-breast-and-rectal-cancer-radiotherapy
#1
Jiawei Fan, Jiazhou Wang, Zhen Zhang, Weigang Hu
PURPOSE: To develop a new automated treatment planning solution for breast and rectal cancer radiotherapy. METHODS: The automated treatment planning solution developed in this study includes selection of the iterative optimized training dataset, dose volume histogram (DVH) prediction for the organs at risk (OARs), and automatic generation of clinically acceptable treatment plans. The iterative optimized training dataset is selected by an iterative optimization from 40 treatment plans for left-breast and rectal cancer patients who received radiation therapy...
March 24, 2017: Medical Physics
https://www.readbyqxmd.com/read/28338943/dysfunction-of-large-scale-brain-networks-in-schizophrenia-a-meta-analysis-of-resting-state-functional-connectivity
#2
Debo Dong, Yulin Wang, Xuebin Chang, Cheng Luo, Dezhong Yao
Schizophrenia is a complex mental disorder with disorganized communication among large-scale brain networks, as demonstrated by impaired resting-state functional connectivity (rsFC). Individual rsFC studies, however, vary greatly in their methods and findings. We searched for consistent patterns of network dysfunction in schizophrenia by using a coordinate-based meta-analysis. Fifty-six seed-based voxel-wise rsFC datasets from 52 publications (2115 patients and 2297 healthy controls) were included in this meta-analysis...
March 11, 2017: Schizophrenia Bulletin
https://www.readbyqxmd.com/read/28328350/risk-factors-for-and-spatial-distribution-of-lymphoproliferative-disease-virus-lpdv-in-wild-turkeys-meleagris-gallopavo-in-new-york-state-usa
#3
Katrina Alger, Elizabeth Bunting, Krysten Schuler, Christopher M Whipps
Lymphoproliferative disease virus (LPDV) is an oncogenic avian retrovirus that was previously thought to exclusively infect domestic turkeys but was recently shown to be widespread in Wild Turkeys ( Meleagris gallopavo ) throughout most of the eastern US. In commercial flocks, the virus spreads between birds housed in close quarters, but there is little information about potential risk factors for infection in wild birds. Initial studies focused on distribution of LPDV nationally, but investigation of state-level data is necessary to assess potential predictors of infection and detect patterns in disease prevalence and distribution...
March 22, 2017: Journal of Wildlife Diseases
https://www.readbyqxmd.com/read/28328145/short-range-dispersal-maintains-a-volatile-marine-metapopulation-the-brown-alga-postelsia-palmaeformis
#4
Robert T Paine, Eric R Buhle, Simon A Levin, Peter Kareiva
The annual brown alga Postelsia palmaeformis is dependent for its survival on short-distance dispersal (SDD) where it is already established, as well as occasional long-distance colonization of novel sites. To quantify SDD, we transplanted Postelsia to sites lacking established plants within ≥10 m. The spatial distribution of the first naturally produced sporophyte generation was used to fit dispersal kernels in a hierarchical Bayesian framework. Mean dispersal distance within a year ranged from 0.16 to 0...
March 22, 2017: Ecology
https://www.readbyqxmd.com/read/28327843/-geographic-information-systems
#5
Akram Hernández-Vásquez, Diego Azañedo, Guido Bendezú-Quispe, Josmel Pacheco-Mendoza, R Martín Chaparro
The aim of this study was to geospatially explore the occurrence rates of car accidents involving pedestrians in Cercado de Lima (Lima District), Peru. Car accidents involving pedestrians recorded in the 2015 National Police Station Census of the National Statistics and Information Institute were described and georeferenced. Subsequently, a Kernel Density analysis was carried out to locate areas with high, medium, and low density events. Records of 171 car accidents involving pedestrians were studied: the types of vehicles involved were automobiles (56...
October 2016: Revista Peruana de Medicina Experimental y Salud Pública
https://www.readbyqxmd.com/read/28327794/seasonality-of-sand-flies-diptera-psychodidae-and-leishmania-dna-detection-in-vector-species-in-an-area-with-endemic-visceral-leishmaniasis
#6
Lara Saraiva, Camila Gonçalves Leite, Ana Cristina Vianna Mariano da Rocha Lima, Luiz Otávio Alves de Carvalho, Agnes Antônia Sampaio Pereira, Jerônimo Marteleto Nunes Rugani, Felipe Dutra Rego, Célia Maria Ferreira Gontijo, José Dilermando Andrade
BACKGROUND: Leishmaniases are a serious health problem in southeast Brazil, including the city of Belo Horizonte (BH), Minas Gerais state (MG), where there are high rates of incidence and mortality due to visceral leishmaniases. BH is divided into nine sanitary districts (SD) of which one, the Venda Nova SD, was selected for this study because it has high rates of positivity for canine leishmaniasis and high incidence of human leishmaniasis. OBJECTIVES: This study aimed to survey the sand fly fauna in Venda Nova SD from August 2011 to July 2013 and perform a descriptive analysis of the vector population...
April 2017: Memórias do Instituto Oswaldo Cruz
https://www.readbyqxmd.com/read/28326008/disease-specific-regions-outperform-whole-brain-approaches-in-identifying-progressive-supranuclear-palsy-a-multicentric-mri-study
#7
Karsten Mueller, Robert Jech, Cecilia Bonnet, Jaroslav Tintěra, Jaromir Hanuška, Harald E Möller, Klaus Fassbender, Albert Ludolph, Jan Kassubek, Markus Otto, Evžen Růžička, Matthias L Schroeter
To identify progressive supranuclear palsy (PSP), we combined voxel-based morphometry (VBM) and support vector machine (SVM) classification using disease-specific features in multicentric magnetic resonance imaging (MRI) data. Structural brain differences were investigated at four centers between 20 patients with PSP and 20 age-matched healthy controls with T1-weighted MRI at 3T. To pave the way for future application in personalized medicine, we applied SVM classification to identify PSP on an individual level besides group analyses based on VBM...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28319178/inter-nesting-movements-and-habitat-use-of-adult-female-kemp-s-ridley-turtles-in-the-gulf-of-mexico
#8
Donna J Shaver, Kristen M Hart, Ikuko Fujisaki, David Bucklin, Autumn R Iverson, Cynthia Rubio, Thomas F Backof, Patrick M Burchfield, Raul de Jesus Gonzales Diaz Miron, Peter H Dutton, Amy Frey, Jaime Peña, Daniel Gomez Gamez, Hector J Martinez, Jaime Ortiz
Species vulnerability is increased when individuals congregate in restricted areas for breeding; yet, breeding habitats are not well defined for many marine species. Identification and quantification of these breeding habitats are essential to effective conservation. Satellite telemetry and switching state-space modeling (SSM) were used to define inter-nesting habitat of endangered Kemp's ridley turtles (Lepidochelys kempii) in the Gulf of Mexico. Turtles were outfitted with satellite transmitters after nesting at Padre Island National Seashore, Texas, USA, from 1998 through 2013 (n = 60); Rancho Nuevo, Tamaulipas, Mexico, during 2010 and 2011 (n = 11); and Tecolutla, Veracruz, Mexico, during 2012 and 2013 (n = 11)...
2017: PloS One
https://www.readbyqxmd.com/read/28314065/construction-safety-risk-modeling-and-simulation
#9
Antoine J-P Tixier, Matthew R Hallowell, Balaji Rajagopalan
By building on a genetic-inspired attribute-based conceptual framework for safety risk analysis, we propose a novel approach to define, model, and simulate univariate and bivariate construction safety risk at the situational level. Our fully data-driven techniques provide construction practitioners and academicians with an easy and automated way of getting valuable empirical insights from attribute-based data extracted from unstructured textual injury reports. By applying our methodology on a data set of 814 injury reports, we first show the frequency-magnitude distribution of construction safety risk to be very similar to that of many natural phenomena such as precipitation or earthquakes...
March 17, 2017: Risk Analysis: An Official Publication of the Society for Risk Analysis
https://www.readbyqxmd.com/read/28314046/analysis-of-traffic-crashes-involving-pedestrians-using-big-data-investigation-of-contributing-factors-and-identification-of-hotspots
#10
Kun Xie, Kaan Ozbay, Abdullah Kurkcu, Hong Yang
This study aims to explore the potential of using big data in advancing the pedestrian risk analysis including the investigation of contributing factors and the hotspot identification. Massive amounts of data of Manhattan from a variety of sources were collected, integrated, and processed, including taxi trips, subway turnstile counts, traffic volumes, road network, land use, sociodemographic, and social media data. The whole study area was uniformly split into grid cells as the basic geographical units of analysis...
March 17, 2017: Risk Analysis: An Official Publication of the Society for Risk Analysis
https://www.readbyqxmd.com/read/28303181/seasonal-home-range-dynamics-and-sex-differences-in-habitat-use-in-a-threatened-coastal-marsh-bird
#11
Jaan R Kolts, Susan B McRae
A comprehensive understanding of spatiotemporal ecology is needed to develop conservation strategies for declining species. The king rail (Rallus elegans) is a secretive marsh bird whose range historically extended across the eastern United States. Inland migratory populations have been greatly reduced with most remaining populations inhabiting the coastal margins. Our objectives were to determine the migratory status of breeding king rails on the mid-Atlantic coast and to characterize home range size, seasonal patterns of movement, and habitat use...
February 2017: Ecology and Evolution
https://www.readbyqxmd.com/read/28270974/noise-stochastic-corrected-maximum-a-posteriori-estimator-for-birefringence-imaging-using-polarization-sensitive-optical-coherence-tomography
#12
Deepa Kasaragod, Shuichi Makita, Young-Joo Hong, Yoshiaki Yasuno
This paper presents a noise-stochastic corrected maximum a posteriori estimator for birefringence imaging using Jones matrix optical coherence tomography. The estimator described in this paper is based on the relationship between probability distribution functions of the measured birefringence and the effective signal to noise ratio (ESNR) as well as the true birefringence and the true ESNR. The Monte Carlo method is used to numerically describe this relationship and adaptive 2D kernel density estimation provides the likelihood for a posteriori estimation of the true birefringence...
February 1, 2017: Biomedical Optics Express
https://www.readbyqxmd.com/read/28269459/bayesian-gaussian-processes-for-identifying-the-deteriorating-patient
#13
Glen Wright Colopy, Marco A F Pimentel, Stephen J Roberts, David A Clifton
The step-down unit (SDU) is a high-acuity hospital environment, to which patients may be sent after discharge from the intensive care unit (ICU). About 1- in-7 patients will deteriorate in the SDU and require emergency readmission to the ICU. Upon readmission, these patients experience significantly higher mortality risks and lengths of stay. Gaussian process regression (GPR) models are proposed as a flexible, principled, probabilistic method to address the clinical need to monitor continuously patient time-series of vital signs acquired in the SDU...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28265357/antioxidant-potential-of-juglans-nigra-black-walnut-husks-extracted-using-supercritical-carbon-dioxide-with-an-ethanol-modifier
#14
Jonathan Wenzel, Cheryl Storer Samaniego, Lihua Wang, Laron Burrows, Evan Tucker, Nathan Dwarshuis, Michelle Ammerman, Ali Zand
The black walnut, Junglas nigra, is indigenous to eastern North America, and abscission of its fruit occurs around October. The fruit consists of a husk, a hard shell, and kernel. The husk is commonly discarded in processing, though it contains phenolic compounds that exhibit antioxidant and antimicrobial properties. For this study, black walnut husks were extracted using supercritical carbon dioxide with an ethanol modifier. The effects of temperature, ethanol concentration, and drying of walnut husks prior to extraction upon antioxidant potential were evaluated using a factorial design of experiments...
March 2017: Food Science & Nutrition
https://www.readbyqxmd.com/read/28264451/spatiotemporal-patterns-of-the-use-of-urban-green-spaces-and-external-factors-contributing-to-their-use-in-central-beijing
#15
Fangzheng Li, Fen Zhang, Xiong Li, Peng Wang, Junhui Liang, Yuting Mei, Wenwen Cheng, Yun Qian
Urban green spaces encourage outdoor activity and social communication that contribute to the health of local residents. Examining the relationship between the use of urban green spaces and factors influencing their utilization can provide essential references for green space site selection in urban planning. In contrast to previous studies that focused on internal factors, this study highlights the external factors (traffic convenience, population density and commercial facilities) contributing to the use of urban green spaces...
February 27, 2017: International Journal of Environmental Research and Public Health
https://www.readbyqxmd.com/read/28261455/long-term-consistency-in-spatial-patterns-of-primate-seed-dispersal
#16
Eckhard W Heymann, Laurence Culot, Christoph Knogge, Tony Enrique Noriega Piña, Emérita R Tirado Herrera, Matthias Klapproth, Dietmar Zinner
Seed dispersal is a key ecological process in tropical forests, with effects on various levels ranging from plant reproductive success to the carbon storage potential of tropical rainforests. On a local and landscape scale, spatial patterns of seed dispersal create the template for the recruitment process and thus influence the population dynamics of plant species. The strength of this influence will depend on the long-term consistency of spatial patterns of seed dispersal. We examined the long-term consistency of spatial patterns of seed dispersal with spatially explicit data on seed dispersal by two neotropical primate species, Leontocebus nigrifrons and Saguinus mystax (Callitrichidae), collected during four independent studies between 1994 and 2013...
March 2017: Ecology and Evolution
https://www.readbyqxmd.com/read/28258052/kernel-density-estimation-as-a-measure-of-environmental-exposure-related-to-insulin-resistance-in-breast-cancer-survivors
#17
Marta M Jankowska, Loki Natarajan, Suneeta Godbole, Kristin Meseck, Dorothy D Sears, Ruth E Patterson, Jacqueline Kerr
BACKGROUND: Environmental factors may influence breast cancer, however most studies have measured environmental exposure in neighborhoods around home residences (static exposure). We hypothesize that tracking environmental exposures over time and space (dynamic exposure) is key to assessing total exposure. This study compares breast cancer survivors' exposure to walkable and recreation-promoting environments using dynamic Global Positioning System (GPS) and static home-based measures of exposure in relation to insulin resistance...
March 3, 2017: Cancer Epidemiology, Biomarkers & Prevention
https://www.readbyqxmd.com/read/28251890/twenty-years-and-counting-epidemiology-of-an-outbreak-of-isoniazid-resistant-tuberculosis-in-england-and-wales-1995-to-2014
#18
Catherine M Smith, Suzan C M Trienekens, Charlotte Anderson, Maeve K Lalor, Tim Brown, Alistair Story, Hannah Fry, Andrew C Hayward, Helen Maguire
An outbreak of isoniazid-resistant tuberculosis first identified in London has now been ongoing for 20 years, making it the largest drug-resistant outbreak of tuberculosis documented to date worldwide. We identified culture-confirmed cases with indistinguishable molecular strain types and extracted demographic, clinical, microbiological and social risk factor data from surveillance systems. We summarised changes over time and used kernel-density estimation and k-function analysis to assess geographic clustering...
February 23, 2017: Euro Surveillance: Bulletin Européen sur les Maladies Transmissibles, European Communicable Disease Bulletin
https://www.readbyqxmd.com/read/28249417/approximate-but-accurate-quantum-dynamics-from-the-mori-formalism-ii-equilibrium-time-correlation-functions
#19
Andrés Montoya-Castillo, David R Reichman
The ability to efficiently and accurately calculate equilibrium time correlation functions of many-body condensed phase quantum systems is one of the outstanding problems in theoretical chemistry. The Nakajima-Zwanzig-Mori formalism coupled to the self-consistent solution of the memory kernel has recently proven to be highly successful for the computation of nonequilibrium dynamical averages. Here, we extend this formalism to treat symmetrized equilibrium time correlation functions for the spin-boson model...
February 28, 2017: Journal of Chemical Physics
https://www.readbyqxmd.com/read/28248523/precise-identification-of-graphene-s-crystal-structures-by-removable-nanowire-epitaxy
#20
Jonghyeok Kim, Kitaek Lim, Yangjin Lee, Jongin Kim, Kihwan Kim, Jungwon Park, Kwanpyo Kim, Won Chul Lee
Monitoring crystallographic orientations of graphene is important for the reliable generation of graphene-based nanostructures such as van der Waals heterostructures and graphene nanoribbons because their physical properties are dependent on crystal structures. However, facile and precise identification of graphene's crystallographic orientations is still challenging because the majority of current tools rely on complex atomic-scale imaging. Here, we present an identification method for the crystal orientations and grain boundaries of graphene using the directional alignment between epitaxially grown AuCN nanowires and the underlying graphene...
March 6, 2017: Journal of Physical Chemistry Letters
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