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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/28231417/genetic-and-genomic-evidence-of-niche-partitioning-and-adaptive-radiation-in-mountain-pine-beetle-fungal-symbionts
#2
Dario I Ojeda Alayon, Clement K M Tsui, Nicolas Feau, Arnaud Capron, Braham Dhillon, Yiyuan Zhang, Sepideh Massoumi Alamouti, Celia K Boone, Allan L Carroll, Janice E K Cooke, Amanda D Roe, Felix A H Sperling, Richard C Hamelin
Bark beetles form multipartite symbiotic associations with blue stain fungi (Ophiostomatales, Ascomycota). These symbionts play an important role during the beetle's life cycle by providing nutritional supplementation, overcoming tree defenses and modifying host tissues to favor brood development. The maintenance of stable multipartite symbioses with seemingly less competitive symbionts in similar habitats is of fundamental interest to ecology and evolution. We tested the hypothesis that the coexistence of three fungal species associated with the mountain pine beetle is the result of niche partitioning and adaptive radiation using SNP genotyping coupled with genotype-environment association analysis and phenotypic characterization of growth rate under different temperatures...
February 23, 2017: Molecular Ecology
https://www.readbyqxmd.com/read/28231035/biologically-relevant-heterogeneity-metrics-and-practical-insights
#3
Albert Gough, Andrew M Stern, John Maier, Timothy Lezon, Tong-Ying Shun, Chakra Chennubhotla, Mark E Schurdak, Steven A Haney, D Lansing Taylor
Heterogeneity is a fundamental property of biological systems at all scales that must be addressed in a wide range of biomedical applications, including basic biomedical research, drug discovery, diagnostics, and the implementation of precision medicine. There are a number of published approaches to characterizing heterogeneity in cells in vitro and in tissue sections. However, there are no generally accepted approaches for the detection and quantitation of heterogeneity that can be applied in a relatively high-throughput workflow...
March 2017: SLAS Discov
https://www.readbyqxmd.com/read/28230735/new-evidence-for-the-theory-of-chromosome-organization-by-repetitive-elements-core
#4
Shao-Jun Tang
Repetitive DNA elements were proposed to coordinate chromatin folding and interaction in chromosomes by their intrinsic homology-based clustering ability. A recent analysis of the data sets from chromosome-conformation-capture experiments confirms the spatial clustering of DNA repeats of the same family in the nuclear space, and thus provides strong new support for the CORE theory.
February 20, 2017: Genes
https://www.readbyqxmd.com/read/28230392/two-roads-diverged-distinct-mechanisms-of-attentional-bias-differentially-predict-negative-affect-and-persistent-negative-thought
#5
Sandersan Onie, Steven B Most
Attentional biases to threatening stimuli have been implicated in various emotional disorders. Theoretical approaches often carry the implicit assumption that various attentional bias measures tap into the same underlying construct, but attention itself is not a unitary mechanism. Most attentional bias tasks-such as the dot probe (DP)-index spatial attention, neglecting other potential attention mechanisms. We compared the DP with emotion-induced blindness (EIB), which appears to be mechanistically distinct, and examined the degree to which these tasks predicted (a) negative affect, (b) persistent negative thought (i...
February 23, 2017: Emotion
https://www.readbyqxmd.com/read/28230265/spatial-optimization-of-future-urban-development-with-regards-to-climate-risk-and-sustainability-objectives
#6
Daniel Caparros-Midwood, Stuart Barr, Richard Dawson
Future development in cities needs to manage increasing populations, climate-related risks, and sustainable development objectives such as reducing greenhouse gas emissions. Planners therefore face a challenge of multidimensional, spatial optimization in order to balance potential tradeoffs and maximize synergies between risks and other objectives. To address this, a spatial optimization framework has been developed. This uses a spatially implemented genetic algorithm to generate a set of Pareto-optimal results that provide planners with the best set of trade-off spatial plans for six risk and sustainability objectives: (i) minimize heat risks, (ii) minimize flooding risks, (iii) minimize transport travel costs to minimize associated emissions, (iv) maximize brownfield development, (v) minimize urban sprawl, and (vi) prevent development of greenspace...
February 23, 2017: Risk Analysis: An Official Publication of the Society for Risk Analysis
https://www.readbyqxmd.com/read/28229408/isolation-and-in-vitro-characterization-of-epidermal-stem-cells
#7
Kasper S Moestrup, Marianne S Andersen, Kim B Jensen
Colony-forming assays represent prospective methods, where cells isolated from enzymatically dissociated tissues or from tissue cultures are assessed for their proliferative capacity in vitro. Complex tissues such as the epithelial component of the skin (the epidermis) are characterized by a substantial cellular heterogeneity. Analysis of bulk populations of cells by colony-forming assays can consequently be convoluted by a number of factors that are not controlled for in population wide studies. It is therefore advantageous to refine in vitro growth assays by sub-fractionation of cells using flow cytometry...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28229131/discovering-cortical-folding-patterns-in-neonatal-cortical-surfaces-using-large-scale-dataset
#8
Yu Meng, Gang Li, Li Wang, Weili Lin, John H Gilmore, Dinggang Shen
The cortical folding of the human brain is highly complex and variable across individuals. Mining the major patterns of cortical folding from modern large-scale neuroimaging datasets is of great importance in advancing techniques for neuroimaging analysis and understanding the inter-individual variations of cortical folding and its relationship with cognitive function and disorders. As the primary cortical folding is genetically influenced and has been established at term birth, neonates with the minimal exposure to the complicated postnatal environmental influence are the ideal candidates for understanding the major patterns of cortical folding...
October 2016: Medical Image Computing and Computer-assisted Intervention: MICCAI ..
https://www.readbyqxmd.com/read/28228171/quantification-of-multicellular-organization-junction-integrity-and-substrate-features-in-collective-cell-migration
#9
Adam C Canver, Alisa Morss Clyne
Quantitative analysis of multicellular organization, cell-cell junction integrity, and substrate properties is essential to understand the mechanisms underlying collective cell migration. However, spatially and temporally defining these properties is difficult within collectively migrating cell groups due to challenges in accurate cell segmentation within the monolayer. In this paper, we present Matlab®-based algorithms to spatially quantify multicellular organization (migration distance, interface roughness, and cell alignment, area, and morphology), cell-cell junction integrity, and substrate features in confocal microscopy images of two-dimensional collectively migrating endothelial monolayers...
February 2017: Microscopy and Microanalysis
https://www.readbyqxmd.com/read/28228154/circulating-species-of-leishmania-at-microclimate-area-of-boulemane-province-morocco-impact-of-environmental-and-human-factors
#10
Asmae Hmamouch, Mahmoud Mohamed El Alem, Maryam Hakkour, Fatima Amarir, Hassan Daghbach, Khalid Habbari, Hajiba Fellah, Khadija Bekhti, Faiza Sebti
BACKGROUND: Cutaneous leishmaniasis (CL) is widely distributed in Morocco where its geographical range and incidence are related to environmental factors. This study aimed to examine the impact of several factors on the distribution of CL in Boulemane Province, which is characterized by several microclimates, and to identify the Leishmania species circulating in these areas. METHODS: Ordinary least squares regression (OLSR) analysis was performed to study the impact of poverty, vulnerability, population density, urbanization and bioclimatic factors on the distribution of CL in this province...
February 22, 2017: Parasites & Vectors
https://www.readbyqxmd.com/read/28227946/analysis-of-effective-sit-to-stand-therapy-using-kinematic-synergies
#11
Bryan Lao, Tomoya Tamei, Kazushi Ikeda, Bryan Lao, Tomoya Tamei, Kazushi Ikeda, Tomoya Tamei, Bryan Lao, Kazushi Ikeda
Understanding effective sit-to-stand (STS) movement is essential for improving rehabilitation strategies and developing services for the rapidly increasing number of elderly people. This study aims at identifying effective STS therapy by analyzing the kinematic synergies of movements induced by therapists of different skill-levels. Three synergies were found to share the same temporal pattern in both joint angles and center-of-mass spaces across all therapists. Effective strategy used by a skilled therapist and strategy flaws of less-experienced therapists were revealed through comparison of spatial patterns...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227858/compensation-of-pulsation-artifacts-during-optical-imaging-with-and-without-cranial-chamber
#12
Alejandro Romero-Santiago, Philipp Flotho, Karsten Schwerdtfeger, Jacek Szczygielski, Matthias Hulser, Lars Haab, Daniel J Strauss, Alejandro Romero-Santiago, Philipp Flotho, Karsten Schwerdtfeger, Jacek Szczygielski, Matthias Hulser, Lars Haab, Daniel J Strauss, Daniel J Strauss, Alejandro Romero-Santiago, Jacek Szczygielski, Karsten Schwerdtfeger, Philipp Flotho, Lars Haab, Matthias Hulser
Functional Optical Imaging (OI) through the opened skull forms a group of Neuroimaging techniques characterized by a high temporal and spatial resolution on a meso-to macroscopic scale. State of the art OI experiments are generally difficult to execute, with a very timely surgical preparation preceding the experiment, that requires a skilled surgeon to mount a sealed imaging chamber onto the skull. The chamber reduces brain pulsation artifacts and swelling of the brain through movement restriction. In this work, we present preliminary results of a novel approach that does not rely on the usage of an imaging chamber with the goal to facilitate heavily the surgical animal preparation and to allow straightforward joint Electroencephalography - Optical Imaging recordings in the future...
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
#13
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/28227769/identifying-the-effects-of-visceral-interoception-on-human-brain-connectome-a-multivariate-analysis-of-covariance-of-fmri-data
#14
Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini
Sources of variations in the neural circuitry of the human brain and interrelationship between intrinsic connectivity networks (ICNs) are still a matter of debate and ongoing research. Here, we applied a multivariate analysis of covariance (MANCOVA) based on high-dimensional independent component analysis (ICA) to identify the effects of interoception and related variables on human brain connectome. Fifteen healthy right-handed subjects (all females, age range 21 - 48 years; mean age = 30.3, SD = 8.7 years) underwent a blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging (fMRI) that included continuous intravesical saline infusion and drainage...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227750/detecting-spatially-highly-resolved-network-modules-a-multi-subject-approach
#15
Britta Pester, Feliberto de la Cruz, Karl-Jurgen Bar, Herbert Witte, Lutz Leistritz, Britta Pester, Feliberto de la Cruz, Karl-Jurgen Bar, Herbert Witte, Lutz Leistritz, Karl-Jurgen Bar, Britta Pester, Lutz Leistritz, Herbert Witte, Feliberto De La Cruz
The connectivity analysis of spatially highly resolved data results in networks comprising an immense number of nodes and edges which makes it hard or even impossible to investigate the high-dimensional (HD) network as a whole. A solution to this problem is offered by a connectivity-based segmentation of the HD networks into subsets of functionally similar nodes (network modules) that exhibit pronounced interaction. However, an investigation of the results at group level is problematic as identified modules are not assigned to each other across different subjects...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227733/accuracy-evaluation-of-the-kinect-v2-sensor-during-dynamic-movements-in-a-rehabilitation-scenario
#16
M Capecci, M G Ceravolo, F Ferracuti, S Iarlori, S Longhi, L Romeo, S N Russi, F Verdini, M Capecci, M G Ceravolo, F Ferracuti, S Iarlori, S Longhi, L Romeo, S N Russi, F Verdini, S Longhi, L Romeo, S N Russi, S Iarlori, M Capecci, F Ferracuti, M G Ceravolo, F Verdini
In this paper, the accuracy evaluation of the Kinect v2 sensor is investigated in a rehabilitation scenario. The accuracy analysis is provided in terms of joint positions and angles during dynamic postures used in low-back pain rehabilitation. Although other studies have focused on the validation of the accuracy in terms of joint angles and positions, they present results only considering static postures whereas the rehabilitation exercise monitoring involves to consider dynamic movements with a wide range of motion and issues related to the joints tracking...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227527/on-the-invariance-of-eeg-based-signatures-of-individuality-with-application-in-biometric-identification
#17
Yunqi Wang, Laleh Najafizadeh, Yunqi Wang, Laleh Najafizadeh, Yunqi Wang, Laleh Najafizadeh
One of the main challenges in EEG-based biometric systems is to extract reliable signatures of individuality from recorded EEG data that are also invariant against time. In this paper, we investigate the invariability of features that are extracted based on the spatial distribution of the spectral power of EEG data corresponding to 2-second eyes-closed resting-state (ECRS) recording, in different scenarios. Eyes-closed resting-state EEG signals in 4 healthy adults are recorded in two different sessions with an interval of at least one week between sessions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227525/multi-direction-hand-movement-classification-using-eeg-based-source-space-analysis
#18
Vikram Shenoy Handiru, A P Vinod, Cuntai Guan, Vikram Shenoy Handiru, A P Vinod, Cuntai Guan, Vikram Shenoy Handiru, Cuntai Guan, A P Vinod
Recent advances in the brain-computer interfaces (BCIs) have demonstrated the inference of movement related activity using non-invasive EEG. However, most of the sensorspace approaches that study sensorimotor rhythms using EEG do not reveal the underlying neurophysiological phenomenon while executing or imagining the movement with finer control. Therefore, there is a need to examine feature extraction techniques in the cortical source space which can provide more information about the task compared to sensor-space...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227496/movement-imagery-classification-in-emotiv-cap-based-system-by-nai%C3%AC-ve-bayes
#19
Vinicius N Stock, Alexandre Balbinot, Vinicius N Stock, Alexandre Balbinot, Vinicius N Stock, Alexandre Balbinot
Brain-computer interfaces (BCI) provide means of communications and control, in assistive technology, which do not require motor activity from the user. The goal of this study is to promote classification of two types of imaginary movements, left and right hands, in an EMOTIV cap based system, using the Naïve Bayes classifier. A preliminary analysis with respect to results obtained by other experiments in this field is also conducted. Processing of the electroencephalography (EEG) signals is done applying Common Spatial Pattern filters...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227429/characterization-of-normal-and-scarred-myocardium-based-on-texture-analysis-of-cardiac-computed-tomography-images
#20
S Antunes, A Esposito, A Palmisanov, C Colantoni, F de Cobelli, A Del Maschio, S Antunes, A Esposito, A Palmisanov, C Colantoni, F de Cobelli, A Del Maschio, A Del Maschio, C Colantoni, F De Cobelli, A Esposito, S Antunes
An accurate detection of myocardial scar using Cardiac CT may have a strong clinical impact; however, the main drawback is the insufficient contrast to noise ratio of delayed iodine enhanced (DIE) CT images, which makes its accurate segmentation (manual as well as automatic) difficult. In this work, we investigate texture parameters applied on the different scans in order to obtain the scans and features that best differentiates normal from scarred myocardium. The experiments on 7 cases of myocarditis show the accuracy of the parameter energy in all scans, as well as the good performance of the angiographic scan (having higher spatial resolution) with different parameters for the segmentation propose...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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