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https://www.readbyqxmd.com/read/28231671/-spatiotemporal-characteristics-of-hiv-aids-in-shandong-province-2009-2015
#1
N Zhang, X G Yang, G Y Wang, X R Tao, D M Kang, N Wang
Objective: To analyze the spatiotemporal characteristics of HIV/AIDS in Shandong province, 2009-2015. Methods: Data on HIV/AIDS between 2009 and 2015 were derived from the Shandong provincial HIV/AIDS Comprehensive Response Information Management System at the end of 2015. All the data were geographically referenced based on 139 spatial units in the related counties of Shandong province. Electronic maps were obtained from China CDC. Global Moran' s I statistics and LISA statistics were used to detect the global and local spatial distribution patterns of HIV/AIDS in Shandong...
February 10, 2017: Zhonghua Liu Xing Bing Xue za Zhi, Zhonghua Liuxingbingxue Zazhi
https://www.readbyqxmd.com/read/28227844/maximum-entropy-based-common-spatial-patterns-for-motor-imagery-classification
#2
Syed Salman Ali, Lei Zhang, Syed Salman Ali, Lei Zhang, Syed Salman Ali, Lei Zhang
The common spatial pattern (CSP) is extensively used to extract discriminative feature from raw Electroencephalography (EEG) signals for motor imagery classification. The CSP is a statistical signal processing technique, which relies on sample based covariance matrix estimation to give discriminative information from raw EEG signals. The sample based estimation of covariance matrix becomes a problem when the number of training samples is limited, which causes the performance of CSP based brain computer interface (BCI) to degrade significantly...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227771/tracking-intrinsic-connectivity-brain-network-features-during-successive-pseudo-resting-states-and-interoceptive-task-fmri
#3
Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini
Advanced multivariate analyses of functional magnetic resonance imaging (fMRI) data based on blood oxygen level-dependent (BOLD) contras have revealed that the human brain organizes its activities into multiple intrinsic connectivity networks (ICNs). Several fMRI studies have evaluated the modulations of these networks during different cognitive or emotional tasks using blind source separation techniques particularly the independent component analysis (ICA). In this exploratory study, we applied ICA methodology to examine ICN modulations under different interoceptive conditions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227373/comparative-study-of-texture-features-in-oct-images-at-different-scales-for-human-breast-tissue-classification
#4
Yu Gan, Xinwen Yao, Ernest Chang, Syed Bin Amir, Hanina Hibshoosh, Sheldon Feldman, Christine P Hendon, Yu Gan, Xinwen Yao, Ernest Chang, Syed Bin Amir, Hanina Hibshoosh, Sheldon Feldman, Christine P Hendon, Syed Bin Amir, Christine P Hendon, Sheldon Feldman, Yu Gan, Hanina Hibshoosh, Ernest Chang, Xinwen Yao
Breast cancer is the second leading cause of death in women in the United States due to cancer. Early detection of breast cancerous regions will aid the diagnosis, staging, and treatment of breast cancer. Optical coherence tomography (OCT), a non-invasive imaging modality with high resolution, has been widely used to visualize various tissue types within the human breast and has demonstrated great potential for assessing tumor margins. Imaging large resected samples with a fast imaging speed can be accomplished by under-sampling in the spatial domain, resulting in a large image scale...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226710/quantitative-analysis-of-histological-tissue-image-based-on-cytological-profiles-and-spatial-statistics
#5
Young Hwan Chang, Guillaume Thibault, Vahid Azimi, Brett Johnson, Danielle Jorgens, Jason Link, Adam Margolin, Joe W Gray, Young Hwan Chang, Guillaume Thibault, Vahid Azimi, Brett Johnson, Danielle Jorgens, Jason Link, Adam Margolin, Joe W Gray, Danielle Jorgens, Brett Johnson, Adam Margolin, Young Hwan Chang, Vahid Azimi, Jason Link, Joe W Gray, Guillaume Thibault
The cellular heterogeneity and complex tissue architecture of most tumor samples is a major obstacle in image analysis on standard hematoxylin and eosin-stained (H&E) tissue sections. A mixture of cancer and normal cells complicates the interpretation of their cytological profiles. Furthermore, spatial arrangement and architectural organization of cells are generally not reflected in cellular characteristics analysis. To address these challenges, first we describe an automatic nuclei segmentation of H&E tissue sections...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226704/sorted-self-similarity-for-multi-modal-image-registration
#6
Keyvan Kasiri, Paul Fieguth, David A Clausi, Keyvan Kasiri, Paul Fieguth, David A Clausi, Keyvan Kasiri, David A Clausi, Paul Fieguth
In medical image analysis, registration of multimodal images has been challenging due to the complex intensity relationship between images. Classical multi-modal registration approaches evaluate the degree of the alignment by measuring the statistical dependency of the intensity values between images to be aligned. Employing statistical similarity measures, such as mutual information, is not promising in those cases with complex and spatially dependent intensity relations. A new similarity measure is proposed based on the assessing the similarity of pixels within an image, based on the idea that similar structures in an image are more probable to undergo similar intensity transformations...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226624/a-comparison-of-independent-component-analysis-algorithms-and-measures-to-discriminate-between-eeg-and-artifact-components
#7
Dhani Dharmaprani, Hoang K Nguyen, Trent W Lewis, Dylan DeLosAngeles, John O Willoughby, Kenneth J Pope, Dhani Dharmaprani, Hoang K Nguyen, Trent W Lewis, Dylan DeLosAngeles, John O Willoughby, Kenneth J Pope, John O Willoughby, Hoang K Nguyen, Dylan DeLosAngeles, Trent W Lewis, Dhani Dharmaprani, Kenneth J Pope
Independent Component Analysis (ICA) is a powerful statistical tool capable of separating multivariate scalp electrical signals into their additive independent or source components, specifically EEG or electroencephalogram and artifacts. Although ICA is a widely accepted EEG signal processing technique, classification of the recovered independent components (ICs) is still flawed, as current practice still requires subjective human decisions. Here we build on the results from Fitzgibbon et al. [1] to compare three measures and three ICA algorithms...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28224496/computationally-tractable-multivariate-hmm-in-genome-wide-mapping-studies
#8
Hyungwon Choi, Debashis Ghosh, Zhaohui Qin
Hidden Markov model (HMM) is widely used for modeling spatially correlated genomic data (series data). In genomics, datasets of this kind are generated from genome-wide mapping studies through high-throughput methods such as chromatin immunoprecipitation coupled with massively parallel sequencing (ChIP-seq). When multiple regulatory protein binding sites or related epigenetic modifications are mapped simultaneously, the correlation between data series can be incorporated into the latent variable inference in a multivariate form of HMM, potentially increasing the statistical power of signal detection...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28223434/spatial-analysis-of-regional-factors-and-lung-cancer-mortality-in-china-1973-2013
#9
Xiaoping Shen, Limin Wang, Li Zhu
BACKGROUND: China's lung cancer crude death rate has increased 6.9-fold from 1973 to 2014. During this time, the country experienced extremely rapid economic growth and social change. It is important to understand the effects of risk factors on Lung Cancer Mortality (LCM) for better allocation of limited resources of cancer prevention and control in China. METHODS: Using three nationwide mortality surveys from 1973 to 2005, Global Health Data Exchange data in 2013, three nationwide smoking surveys from 1984 to 2013, four population censuses from 1964 to 2000, and other datasets, we have compiled datasets and developed spatial random effect models to assess the association of various area level contributing factors on LCM...
February 21, 2017: Cancer Epidemiology, Biomarkers & Prevention
https://www.readbyqxmd.com/read/28223022/early-identification-of-mild-cognitive-impairment-using-incomplete-random-forest-robust-support-vector-machine-and-fdg-pet-imaging
#10
Shen Lu, Yong Xia, Weidong Cai, Michael Fulham, David Dagan Feng
Alzheimer's disease (AD) is the most common type of dementia and will be an increasing health problem in society as the population ages. Mild cognitive impairment (MCI) is considered to be a prodromal stage of AD. The ability to identify subjects with MCI will be increasingly important as disease modifying therapies for AD are developed. We propose a semi-supervised learning method based on robust optimization for the identification of MCI from [18F]Fluorodeoxyglucose PET scans. We extracted three groups of spatial features from the cortical and subcortical regions of each FDG-PET image volume...
February 7, 2017: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://www.readbyqxmd.com/read/28220657/a-geographic-study-of-west-nile-virus-in-humans-dead-corvids-and-mosquitoes-in-ontario-using-spatial-scan-statistics-with-a-survival-time-application
#11
A L Thomas-Bachli, D L Pearl, O Berke, E J Parmley, I K Barker
Surveillance of West Nile virus (WNv) in Ontario has included passive reporting of human cases and testing of trapped mosquitoes and dead birds found by the public. The dead bird surveillance programme was limited to testing within a public health unit (PHU) until a small number of birds test positive. These dead corvid and mosquito surveillance programmes have not been compared for their ability to provide early warning in geographic areas where human cases occur each year. Spatial scan statistics were applied to time-to-event survival data based on first cases of WNv in found dead corvids, mosquitoes and humans...
February 20, 2017: Zoonoses and Public Health
https://www.readbyqxmd.com/read/28220183/quantitative-light-induced-fluorescence-images-and-digital-photographs-reproducibility-of-manually-marked-demineralisations
#12
Rosalia Tatano, Eva E Ehrlich, Benjamin Berkels, Ekaterina Sirazitdinova, Thomas M Deserno, Ulrike B Fritz
OBJECTIVE: Hard tooth tissue demineralisation is an undesirable side effect of orthodontic treatment with fixed appliances. Whereas both clinically and in digital photographs (DP), demineralisations appear as white spot lesions, WSLs appear as dark areas when quantitative light-induced fluorescence (QLF) imaging is used. This study aims at comparing the reproducibility of the detection of decalcified tooth areas in DP and QLF. MATERIALS AND METHODS: DP and QLF pairs were acquired from 139 teeth of 32 patients after braces removal...
February 20, 2017: Journal of Orofacial Orthopedics, Fortschritte der Kieferorthopädie
https://www.readbyqxmd.com/read/28218643/diffusion-assessment-of-cortical-changes-induced-by-traumatic-spinal-cord-injury
#13
Peng Sun, Rory K J Murphy, Paul Gamble, Ajit George, Sheng-Kwei Song, Wilson Z Ray
Promising treatments are being developed to promote functional recovery after spinal cord injury (SCI). Magnetic resonance imaging, specifically Diffusion Tensor Imaging (DTI) has been shown to non-invasively measure both axonal and myelin integrity following traumatic brain and SCI. A novel data-driven model-selection algorithm known as Diffusion Basis Spectrum Imaging (DBSI) has been proposed to more accurately delineate white matter injury. The objective of this study was to investigate whether DTI/DBSI changes that extend to level of the cerebral peduncle and internal capsule following a SCI could be correlated with clinical function...
February 17, 2017: Brain Sciences
https://www.readbyqxmd.com/read/28216431/optimizing-fmri-preprocessing-pipelines-for-block-design-tasks-as-a-function-of-age
#14
Nathan W Churchill, Pradeep Raamana, Robyn Spring, Stephen C Strother
Functional Magnetic Resonance Imaging (fMRI) is a powerful neuroimaging tool, which is often hampered by significant noise confounds. There is evidence that our ability to detect activations in task fMRI is highly dependent on the preprocessing steps used to control noise and artifact. However, the vast majority of studies examining preprocessing pipelines in fMRI have focused on young adults. Given the widespread use of fMRI for characterizing the neurobiology of aging, it is critical to examine how the impact of preprocessing choices varies as a function of age...
February 12, 2017: NeuroImage
https://www.readbyqxmd.com/read/28216028/cause-and-predictability-for-the-severe-haze-pollutions-in-downtown-beijing-during-november-december-2015
#15
Ziyin Zhang, Daoyi Gong, Seong-Joong Kim, Rui Mao, Jing Xu, Xiujuan Zhao, Zhiqiang Ma
When severe haze pollutions hit downtown Beijing during period of November-December 2015, Beijing issued the red alert for the heavy pollution for the first time in history. Based on the hourly PM2.5 concentration and meteorological variable records and the ERA-Interim reanalysis data, a series of diagnostic analyses were conducted to explore the possible meteorological causes for the severe haze pollutions. Using the online-coupled WRF-Chem model and GFS data, the predictability of hourly and daily PM2.5 concentration was evaluated...
February 15, 2017: Science of the Total Environment
https://www.readbyqxmd.com/read/28215657/methodological-considerations-with-data-uncertainty-in-road-safety-analysis
#16
Matthias Schlögl, Rainer Stütz
The analysis of potential influencing factors that affect the likelihood of road accident occurrence has been of major interest for safety researchers throughout the recent decades. Even though steady methodological progresses were made over the years, several impediments pertaining to the statistical analysis of crash data remain. While issues related to methodological approaches have been subject to constructive discussion, uncertainties inherent to the most fundamental part of any analysis have been widely neglected: data...
February 16, 2017: Accident; Analysis and Prevention
https://www.readbyqxmd.com/read/28211899/spatial-regularity-of-inas-gaas-quantum-dots-quantifying-the-dependence-of-lateral-ordering-on-growth-rate
#17
T Konishi, E Clarke, C W Burrows, J J Bomphrey, R Murray, G R Bell
The lateral ordering of arrays of self-assembled InAs-GaAs quantum dots (QDs) has been quantified as a function of growth rate, using the Hopkins-Skellam index (HSI). Coherent QD arrays have a spatial distribution which is neither random nor ordered, but intermediate. The lateral ordering improves as the growth rate is increased and can be explained by more spatially regular nucleation as the QD density increases. By contrast, large and irregular 3D islands are distributed randomly on the surface. This is consistent with a random selection of the mature QDs relaxing by dislocation nucleation at a later stage in the growth, independently of each QD's surroundings...
February 13, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28210893/analyzing-deadwood-volume-of-calabrian-pine-pinus-brutia-ten-in-relation-to-stand-and-site-parameters-a-case-study-in-k%C3%A3-pr%C3%A3-l%C3%A3-canyon-national-park
#18
Uzay Karahalil, Emin Z Başkent, Fatih Sivrikaya, Burak Kılıç
The importance of deadwood (DW) in forest ecosystems is widely recognized today. Deadwood is used as a proxy indicator for biodiversity conservation and sustainable management of forests. This research aims to determine the amount and spatial distribution of DW (standing dead trees, stumps, and coarse woody debris) and characterize the changes with few selected parameters in an unmanaged forest reserve of Köprülü Canyon National Park (NP). The data were collected from 387 temporary sample plots with different stand characteristics such as stand age, crown closure, site index, and density, and site parameters like elevation, aspect, slope, and distance to settlement areas of Calabrian pine (Pinus brutia Ten...
March 2017: Environmental Monitoring and Assessment
https://www.readbyqxmd.com/read/28209580/white-matter-tract-pathology-in-pediatric-anoxic-brain-injury-from-drowning
#19
M Ishaque, J H Manning, M D Woolsey, C G Franklin, F S Salinas, P T Fox
BACKGROUND AND PURPOSE: Although drowning is a leading cause of mortality and morbidity in young children, the neuropathologic consequences have not been fully determined. The purpose of this article was to quantitatively characterize white matter microstructural abnormalities in pediatric anoxic brain injury from nonfatal drowning and investigate the correlation with motor function. MATERIALS AND METHODS: Whole-brain T1-weighted and diffusion-weighted MR imaging datasets were acquired in 11 children with chronic anoxic brain injury and 11 age- and sex-matched neurotypical controls (4-12 years of age)...
February 16, 2017: AJNR. American Journal of Neuroradiology
https://www.readbyqxmd.com/read/28208657/fto-genotype-and-type-2-diabetes-mellitus-spatial-analysis-and-meta-analysis-of-62-case-control-studies-from-different-regions
#20
Ying Yang, Boyang Liu, Wei Xia, Jing Yan, Huan-Yu Liu, Ling Hu, Song-Mei Liu
Type 2 diabetes mellitus (T2DM) is a global health problem that results from the interaction of environmental factors with genetic variants. Although a number of studies have suggested that genetic polymorphisms in the fat mass and obesity-associated (FTO) gene are associated with T2DM risk, the results have been inconsistent. To investigate whether FTO polymorphisms associate with T2DM risk and whether this association is region-related, we performed this spatial analysis and meta-analysis. More than 60,000 T2DM patients and 90,000 controls from 62 case-control studies were included in this study...
February 11, 2017: Genes
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