Terrestrial evapotranspiration (ET) refers to a key process in the hydrological cycle by which water is transferred from Earth's surface lower atmosphere. With spatiotemporal variations, ET plays crucial role global ecosystem and affects vegetation distribution productivity, climate, resources. China features complex, diverse natural environment, leading high heterogeneity climatic variables. However, past future trends remain largely unexplored. Thus, using MOD16 products meteorological...

Abstract Vegetation plays a crucial role in nature, with intricate interactions between it and the geographical environment. The Yangtze River Basin (YRB) refers to third largest river basin globally an essential ecological security barrier China. Monitoring vegetation dynamics is of profound significance for addressing climate change, soil erosion, biodiversity loss basin's ecosystems. Here, we investigate spatiotemporal variations at both land cover scales YRB from 2000 2020. We elucidate...

Background The transmission of hemorrhagic fever with renal syndrome (HFRS) is influenced by environmental determinants. This study aimed to explore the association between atmospheric moisture variability and for period 1991–2010 in Changsha, China. Methods Findings Wavelet analyses were performed using monthly reported time series data HFRS cases detect quantify periodicity HFRS. A generalized linear model a Poisson distribution log link used relationship climate cases, highlighting...

Park green space is an important part of the infrastructure in a city, and urban park accessibility indicator for measuring city’s comprehensive strength, living environment, resident happiness, which greatly affects sustainable development construction city. The spatial syntax method can discuss parks from perspective topology, inherits objective stability topological relationship. There are few research studies on parks. Therefore, with support theory statistics method, this paper combined...

SDG15 emphasizes the criticality of ecosystem sustainability. The interplay between vegetation and environment plays a crucial role in maintaining ecological equilibrium. Mid-Spine Belt Beautiful China (MSBBC), novel geographical designation, encompasses agro-pastoral production living spaces China. However, dynamics area remain incompletely characterized. Therefore, this study investigated spatiotemporal variations NDVI MSBBC from 2000 to 2022, introducing V-statistic simulate durations...

Hemorrhagic fever with renal syndrome (HFRS) is an important public health problem in mainland China. HFRS particularly endemic Changsha, the capital city of Hunan Province, one highest incidences The occurrence influenced by environmental factors. However, few studies have examined relationship between variation (such as land use changes and climate variations), rodents occurrence. purpose this study to predict distribution identify risk factors rodent hosts, combining ecological modeling...

Accurately quantifying water inundation dynamics in terms of both spatial distributions and temporal variability is essential for resources management. Currently, the map usually derived from synthetic aperture radar (SAR) data with support auxiliary datasets, using thresholding methods followed by morphological operations to further refine results. However, datasets may lose efficacy on large plain areas, whilst parameters are hard be decided different situations. Here, a heuristic...

Neuroinflammation plays a key role in the progression of secondary brain injury after ischemic stroke, and exosomes have been increasingly recognized to eliminate inflammatory responses through various mechanisms. This study aimed explore effect possible mechanism human umbilical vein endothelial cells derived (H-EXOs) on neuroinflammation. We established transient middle cerebral artery occlusion/reperfusion (tMCAO/R) male rats oxygen-glucose-deprivation/reoxygenation (OGD/R) model cultured...

Object-oriented change detection (OOCD) plays an important role in remote sensing detection. Generally, most of current OOCD methods adopt the highest predicted probability to determine whether objects have changes. However, it ignores fact that only parts object changes, which will generate uncertain classification information. To reduce uncertainty, improved rough-fuzzy possibilistic <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML"...

GPS trajectory and remote sensing data are crucial for updating urban road networks because they contain critical spatial temporal information. Existing network methods, whether trajectory-based (TB) or image-based (IB), do not integrate the characteristics of both types data. This paper proposed implemented an incremental update method rapid checking updating. A composite framework is established, which integrates UAV imagery. The research utilizing connectivity between adjacent matched...

Abstract The multiscale analysis of precipitation teleconnections with climate indices is great significance to better understand the regional response variability under different time scales global change. In this study, inherent cycles monthly total and extreme precipitations during 1965–2016 in Yangtze River basin (YRB) influencing their periodic oscillations long‐term trends are investigated by complete ensemble empirical mode decomposition, lag correlation stepwise variable selection....

Exploring the heterogeneous characteristics of urban expansion process is essential for understanding dynamics spatial structure. Many studies focused on depicting spatio-temporal based patches. However, measuring from agglomeration areas comprising expanded construction land patches have not been adequately explored. This study presents a novel approach and two improved indices characterizing heterogeneity during expansion. Firstly, we proposed Gaussian mixture model considering multiple...

To organize trajectory data is a challenging issue for both studies on spatial databases and mining in the last decade, especially where there semantic information involved. The high-level features of exploit human movement interrelated with geographic context, which becoming increasingly important representing analyzing actual contained movements further processing. This paper argues novel model named TOST. It considers happens along network infrastructure simultaneously. In TOST, flexible...

Recombinant human metallothionein III (rh-MT-III) is a genetically engineered product produced by Escherichia coli fermentation technology. Its molecules contain abundant reducing sulfhydryl groups, which possess the ability to bind heavy metal ions. The present study was evaluate binding effects of rh-MT-III against copper and cadmium in vitro investigate antioxidant activity using Caenorhabditis elegans vivo. For experiments, rates were 91.4% 97.3% for at dosage 200 μg/mL 10 h,...

Autophagy has been implicated in stroke. Our previous study showed that the FoxO3 transcription factor promotes autophagy after transient cerebral ischemia/reperfusion (I/R). However, whether Akt/FoxO3 signaling pathway plays a regulatory role I/R-induced oxidative stress injury is still unclear. The present aims to investigate effects of on activation and neuronal vitro vivo. By employing LY294002 or insulin regulate pathway, we found pretreatment increased cell viability, decreased...

Electric vehicles (EVs) have attracted considerable attention because of their clean and high-energy efficiency. Reasonably planning a charging station network has become vital issue for the popularization EVs. Current research on optimizing networks focuses role stations in local scope. However, spatial features between are not considered. This paper proposes selection method based graph convolutional (GCN) establishes considering traffic information investment cost. The uses GCN to extract...

With the significant updates of location-acquisition technologies, there are more spatial-temporal trajectory data available. Spatial-temporal stream plays a crucial role in research and applications intelligent transportation. However, still some problems study multi-target hotness diffusion scenarios: such as forecast POIs' (Points Interest) visitors or short-term traffic. Passenger traffic flow can be called hotness, law multi-hot-spots detected by studying their trajectory. often...

Identifying stops from GPS trajectories is one of the main concerns in study moving objects and has a major effect on wide variety location-based services applications. Although spatial non-spatial characteristics have been widely investigated for identification stops, few studies concentrated impacts contextual features, which are also connected to road network nearby Points Interest (POIs). In order obtain more precise stop information objects, this paper proposes implements novel approach...