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Spatio-temporal modeling

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https://www.readbyqxmd.com/read/29791463/recurrent-spatio-temporal-modeling-of-check-ins-in-location-based-social-networks
#1
Ali Zarezade, Sina Jafarzadeh, Hamid R Rabiee
Social networks are getting closer to our real physical world. People share the exact location and time of their check-ins and are influenced by their friends. Modeling the spatio-temporal behavior of users in social networks is of great importance for predicting the future behavior of users, controlling the users' movements, and finding the latent influence network. It is observed that users have periodic patterns in their movements. Also, they are influenced by the locations that their close friends recently visited...
2018: PloS One
https://www.readbyqxmd.com/read/29789673/peatland-vegetation-composition-and-phenology-drive-the-seasonal-trajectory-of-maximum-gross-primary-production
#2
Matthias Peichl, Michal Gažovič, Ilse Vermeij, Eefje de Goede, Oliver Sonnentag, Juul Limpens, Mats B Nilsson
Gross primary production (GPP) is a key driver of the peatland carbon cycle. Although many studies have explored the apparent GPP under natural light conditions, knowledge of the maximum GPP at light-saturation (GPPmax ) and its spatio-temporal variation is limited. This information, however, is crucial since GPPmax essentially constrains the upper boundary for apparent GPP. Using chamber measurements combined with an external light source across experimental plots where vegetation composition was altered through long-term (20-year) nitrogen addition and artificial warming, we could quantify GPPmax in-situ and disentangle its biotic and abiotic controls in a boreal peatland...
May 22, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29789619/a-predictive-spatial-distribution-framework-for-filovirus-infected-bats
#3
Graziano Fiorillo, Paolo Bocchini, Javier Buceta
Tools with predictive capabilities in regards of filovirus outbreaks are mainly anthropocentric and have disregarded the ecological dimension of the problem. Here we contribute to shift the current paradigm by studying the dynamics of the putative main zoonotic niche of filoviruses, bats, and its link to environmental drivers. We propose a framework that combines data analysis, modeling, and the evaluation of sources of variability. We implement a regression analysis using factual data to correlate environmental parameters and the presence of bats to find the distribution of resources...
May 22, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29788968/spatio-temporal-mapping-of-madagascar-s-malaria-indicator-survey-results-to-assess-plasmodium-falciparum-endemicity-trends-between-2011-and-2016
#4
Su Yun Kang, Katherine E Battle, Harry S Gibson, Arsène Ratsimbasoa, Milijaona Randrianarivelojosia, Stéphanie Ramboarina, Peter A Zimmerman, Daniel J Weiss, Ewan Cameron, Peter W Gething, Rosalind E Howes
BACKGROUND: Reliable measures of disease burden over time are necessary to evaluate the impact of interventions and assess sub-national trends in the distribution of infection. Three Malaria Indicator Surveys (MISs) have been conducted in Madagascar since 2011. They provide a valuable resource to assess changes in burden that is complementary to the country's routine case reporting system. METHODS: A Bayesian geostatistical spatio-temporal model was developed in an integrated nested Laplace approximation framework to map the prevalence of Plasmodium falciparum malaria infection among children from 6 to 59 months in age across Madagascar for 2011, 2013 and 2016 based on the MIS datasets...
May 23, 2018: BMC Medicine
https://www.readbyqxmd.com/read/29787903/flood-risk-d-evolution-disentangling-key-drivers-of-flood-risk-change-with-a-retro-model-experiment
#5
Andreas Paul Zischg, Patrick Hofer, Markus Mosimann, Veronika Röthlisberger, Jorge A Ramirez, Margreth Keiler, Rolf Weingartner
Flood risks are dynamically changing over time. Over decades and centuries, the main drivers for flood risk change are influenced either by perturbations or slow alterations in the natural environment or, more importantly, by socio-economic development and human interventions. However, changes in the natural and human environment are intertwined. Thus, the analysis of the main drivers for flood risk changes requires a disentangling of the individual risk components. Here, we present a method for isolating the individual effects of selected drivers of change and selected flood risk management options based on a model experiment...
May 19, 2018: Science of the Total Environment
https://www.readbyqxmd.com/read/29782831/mapping-cellular-polarity-networks-using-mass-spectrometry-based-strategies
#6
REVIEW
Avais M Daulat, Tania M Puvirajesinghe, Luc Camoin, Jean-Paul Borg
Cell polarity is a vital biological process involved in the building, maintenance and normal functioning of tissues in invertebrates and vertebrates. Unsurprisingly, molecular defects affecting polarity organization and functions have a strong impact on tissue homeostasis, embryonic development and adult life, and may directly or indirectly lead to diseases. Genetic studies have demonstrated the causative effect of several polarity genes in diseases, however much remains to be clarified before a comprehensive view of the molecular organization and regulation of the protein networks associated with polarity proteins is obtained...
May 18, 2018: Journal of Molecular Biology
https://www.readbyqxmd.com/read/29772889/bivariate-spatiotemporal-disease-mapping-of-cancer-of-the-breast-and-cervix-uteri-among-iranian-women
#7
Mehdi Raei, Volker Johann Schmid, Behzad Mahaki
Cervical cancer in women is one of the most common cancers and breast cancer has grown dramatically in recent years. The purpose of this study was to map the incidence of breast and cervix uteri cancer among Iranian women over a 6-year period (2004-2009) searching for trend changes and risk factors. Cancer incidence data were extracted from the annual reports of the National Cancer Registry in Iran. Hierarchical Bayesian models, including random spatial and temporal effects was utilized together with bivariate, spatio-temporal shared component modelling...
May 8, 2018: Geospatial Health
https://www.readbyqxmd.com/read/29772882/correlation-analysis-of-air-pollutant-index-levels-and-dengue-cases-across-five-different-zones-in-selangor-malaysia
#8
Loshini Thiruchelvam, Sarat C Dass, Rafdzah Zaki, Abqariyah Yahya, Vijanth S Asirvadam
This study investigated the potential relationship between dengue cases and air quality - as measured by the Air Pollution Index (API) for five zones in the state of Selangor, Malaysia. Dengue case patterns can be learned using prediction models based on feedback (lagged terms). However, the question whether air quality affects dengue cases is still not thoroughly investigated based on such feedback models. This work developed dengue prediction models using the autoregressive integrated moving average (ARIMA) and ARIMA with an exogeneous variable (ARIMAX) time series methodologies with API as the exogeneous variable...
May 7, 2018: Geospatial Health
https://www.readbyqxmd.com/read/29763743/affect-recognition-from-facial-movements-and-body-gestures-by-hierarchical-deep-spatio-temporal-features-and-fusion-strategy
#9
Bo Sun, Siming Cao, Jun He, Lejun Yu
Affect presentation is periodic and multi-modal, such as through facial movements, body gestures, and so on. Studies have shown that temporal selection and multi-modal combinations may benefit affect recognition. In this article, we therefore propose a spatio-temporal fusion model that extracts spatio-temporal hierarchical features based on select expressive components. In addition, a multi-modal hierarchical fusion strategy is presented. Our model learns the spatio-temporal hierarchical features from videos by a proposed deep network, which combines a convolutional neural networks (CNN), bilateral long short-term memory recurrent neural networks (BLSTM-RNN) with principal component analysis (PCA)...
December 7, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/29753251/long-term-exposure-to-ambient-particulate-matter-pm-2-5-is-associated-with-platelet-counts-in-adults
#10
Zilong Zhang, Ta-Chien Chan, Cui Guo, Ly-Yun Chang, Changqing Lin, Yuan Chieh Chuang, Wun Kai Jiang, Kin Fai Ho, Tony Tam, Kam S Woo, Alexis K H Lau, Xiang Qian Lao
BACKGROUND: The prothrombotic effects of particulate matter (PM) may underlie the association of air pollution with increased risks of cardiovascular disease. This study aimed to investigate the association between long-term exposure to PM with an aerodynamic diameter ≤2.5 μm (PM2.5 ) and platelet counts, a marker of coagulation profiles. METHODS: The study participants were from a cohort consisting of 362,396 Taiwanese adults who participated in a standard medical examination program between 2001 and 2014...
May 9, 2018: Environmental Pollution
https://www.readbyqxmd.com/read/29752308/a-new-phenotyping-pipeline-reveals-three-types-of-lateral-roots-and-a-random-branching-pattern-in-two-cereals
#11
Sixtine Passot, Beatriz Moreno-Ortega, Daniel Moukouanga, Crispulo Balsera, Soazig Guyomarc'h, Mikael Lucas, Guillaume Lobet, Laurent Laplaze, Bertrand Muller, Yann Guédon
Recent progress in root phenotyping has focused mainly on increasing throughput for genetic studies while identifying root developmental patterns has been comparatively underexplored. We introduce a new phenotyping pipeline for producing high-quality spatio-temporal root system development data and identifying developmental patterns within these data. The SmartRoot image analysis system and temporal and spatial statistical models were applied to two cereals, pearl millet (Pennisetum glaucum) and maize (Zea mays)...
May 11, 2018: Plant Physiology
https://www.readbyqxmd.com/read/29751891/a-bayesian-spatio-temporal-framework-to-identify-outbreaks-and-examine-environmental-and-social-risk-factors-for-infectious-diseases-monitored-by-routine-surveillance
#12
Aparna Lal, Jonathan Marshall, Jackie Benschop, Aleisha Brock, Simon Hales, Michael G Baker, Nigel P French
Spatio-temporal disease patterns can provide clues to etiological pathways, but can be complex to model. Using a flexible Bayesian hierarchical framework, we identify previously undetected space-time clusters and environmental and socio-demographic risk factors for reported giardiasis and cryptosporidiosis at the New Zealand small area level. For giardiasis, there was no seasonal pattern in outbreak probability and an inverse association with density of dairy cattle (β^1  = -0.09, Incidence Risk Ratio (IRR) 0...
June 2018: Spatial and Spatio-temporal Epidemiology
https://www.readbyqxmd.com/read/29751407/uncertainty-of-modelled-flow-regime-for-flow-ecological-assessment-in-southern-europe
#13
Olga Vigiak, Stefanie Lutz, Angeliki Mentzafou, Gabriele Chiogna, Ye Tuo, Bruno Majone, Hylke Beck, Ad de Roo, Anna Malagó, Fayçal Bouraoui, Rohini Kumar, Luis Samaniego, Ralf Merz, Christos Gamvroudis, Nikolaos Skoulikidis, Nikolaos P Nikolaidis, Alberto Bellin, Vicenç Acuňa, Nataša Mori, Ralf Ludwig, Alberto Pistocchi
Sustainable water basin management requires characterization of flow regime in river networks impacted by anthropogenic pressures. Flow regime in ungauged catchments under current, future, or natural conditions can be assessed with hydrological models. Developing hydrological models is, however, resource demanding such that decision makers might revert to models that have been developed for other purposes and are made available to them ('off-the-shelf' models). In this study, the impact of epistemic uncertainty of flow regime indicators on flow-ecological assessment was assessed at selected stations with drainage areas ranging from about 400 to almost 90,000km2 in four South European basins (Adige, Ebro, Evrotas and Sava)...
February 15, 2018: Science of the Total Environment
https://www.readbyqxmd.com/read/29750593/spatio-temporal-distribution-and-environmental-drivers-of-barley-yellow-dwarf-virus-and-vector-abundance-in-kansas
#14
Laramy Enders, Trevor Hefley, John Girvin, Robert Whitworth, Charles Smith
Several aphid species transmit barley yellow dwarf, a globally destructive disease caused by viruses that infect cereal grain crops. Data from >400 samples collected across Kansas wheat fields in 2014 and 2015 were used to develop spatio-temporal models predicting the extent to which landcover, temperature and precipitation affect spring aphid vector abundance and presence of individuals carrying Barley yellow dwarf virus (BYDV). The distribution of Rhopalosiphum padi abundance was not correlated with climate or landcover, but Sitobion avenae abundance was positively correlated to fall temperature and negatively correlated to spring temperature and precipitation...
May 11, 2018: Phytopathology
https://www.readbyqxmd.com/read/29745167/-relationship-between-the-environmental-factors-and-the-cpue-catch-per-unit-effort-of-pseudocarcharias-kamoharai-in-tropical-atlantic-ocean-based-on-the-gam-tweedie-model
#15
Hao Zhan Wang, Xiao Jie Dai, Wen Jiang Guan, Yong Chao Fan
Crocodile shark (Pseudocarcharias kamoharai) is an important by-catch species of tropical Atlantic tuna longline fishery. The research on the relationship between the CPUE (catch per unit effort) and environmental factors can provide basic data for resource protection and management of this important species. Based on the Tweedie distribution theory, and the data of 1085 croco-dile sharks collected by the national observers of longline fishery from 2009 to 2015 in the tropical Atlantic Ocean (6.38° S-14.92° N, 42...
June 18, 2017: Ying Yong Sheng Tai Xue Bao, the Journal of Applied Ecology
https://www.readbyqxmd.com/read/29734394/searching-for-empirical-evidence-on-traffic-equilibrium
#16
Mehmet Yildirimoglu, Osman Kahraman
Cities around the world are inundated by cars and suffer traffic congestion that results in excess delays, reduced safety and environmental pollution. The interplay between road infrastructure and travel choices defines the level and the spatio-temporal extent of congestion. Given the existing infrastructure, understanding how the route choice decisions are made and how travellers interact with each other is a crucial first step in mitigating traffic congestion. This is a problem with fundamental importance, as it has implications for other limited supply systems where agents compete for resources and reach an equilibrium...
2018: PloS One
https://www.readbyqxmd.com/read/29728010/ecosystem-services-trade-offs-and-determinants-in-china-s-yangtze-river-economic-belt-from-2000-to-2015
#17
Xibao Xu, Guishan Yang, Yan Tan, Jingping Liu, Huizhi Hu
Ecosystem services (ES) play an important role in sustaining ecological security, sustainable development and human well-being. This study investigates spatio-temporal changes in five key ES in the Yangtze River Economic Belt of China in 2000-2015-water conservation (WC), soil retention (SR), carbon sequestration (CS), biodiversity conservation (BC) and food supply (FS), by applying three ecological models (InVEST, RUSLE, CASA). Employing scenario simulations, the study quantifies distinct effects of significant factors on ES changes...
April 18, 2018: Science of the Total Environment
https://www.readbyqxmd.com/read/29727275/sv-rcnet-workflow-recognition-from-surgical-videos-using-recurrent-convolutional-network
#18
Yueming Jin, Qi Dou, Hao Chen, Lequan Yu, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng
We propose an analysis of surgical videos that is based on a novel recurrent convolutional network (SV-RCNet), specifically for automatic workflow recognition from surgical videos online, which is a key component for developing the context-aware computer-assisted intervention systems. Different from previous methods which harness visual and temporal information separately, the proposed SV-RCNet seamlessly integrates a convolutional neural network (CNN) and a recurrent neural network (RNN) to form a novel recurrent convolutional architecture in order to take full advantages of the complementary information of visual and temporal features learned from surgical videos...
May 2018: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/29723806/bioelectrical-coupling-in-multicellular-domains-regulated-by-gap-junctions-a-conceptual-approach
#19
REVIEW
Javier Cervera, Alexis Pietak, Michael Levin, Salvador Mafe
We review the basic concepts involved in bioelectrically-coupled multicellular domains, focusing on the role of membrane potentials (Vmem ). In the first model, single-cell Vmem is modulated by two generic polarizing and depolarizing ion channels, while intercellular coupling is implemented via voltage-gated gap junctions. Biochemical and bioelectrical signals are integrated via a feedback loop between Vmem and the transcription and translation of a protein forming an ion channel. The effective rate constants depend on the single-cell Vmem because these potentials modulate the local concentrations of signaling molecules and ions...
April 21, 2018: Bioelectrochemistry
https://www.readbyqxmd.com/read/29723670/circuit-mechanisms-of-hippocampal-reactivation-during-sleep
#20
Paola Malerba, Maxim Bazhenov
The hippocampus is important for memory and learning, being a brain site where initial memories are formed and where sharp wave - ripples (SWR) are found, which are responsible for mapping recent memories to long-term storage during sleep-related memory replay. While this conceptual schema is well established, specific intrinsic and network-level mechanisms driving spatio-temporal patterns of hippocampal activity during sleep, and specifically controlling off-line memory reactivation are unknown. In this study, we discuss a model of hippocampal CA1-CA3 network generating spontaneous characteristic SWR activity...
April 30, 2018: Neurobiology of Learning and Memory
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