Toxicological studies have indicated that exposure to chlorinated paraffins (CPs) may disrupt intracellular glucose and energy metabolism. However, limited information exists regarding the impact of human CP on homeostasis its potential association with an increased risk developing gestational diabetes mellitus (GDM). Here, we conducted a prospective study nested case–control design evaluate link between short- medium-chain (SCCPs MCCPs) exposures during pregnancy GDM. Serum samples from 102...

This paper described endmember extraction as a combinatorial optimization problem (COP). By defining particles' position and velocity, discrete particle swarm (D-PSO) was proposed based on to resolve COP. The algorithm tested evaluated by hyperspectral remote sensing data. Experimental results showed that, while extracting the same number of endmembers, D-PSO could get smaller root-mean-square error between an original image its remixed precondition correct compared algorithms vertex...

This letter addresses the issue of accurate object detection in large-area remote sensing images. Although many convolutional neural network (CNN)-based models can achieve high accuracy small image patches, perform poorly images due to large quantity false and missing detections that arise from complex backgrounds diverse groundcover types. To address this challenge, proposes a sample update-based CNN (SUCNN) framework for The proposed contains two stages. In first stage, base...

SiCf/Ti2AlNb-reinforced Ti17 (SiCf/Ti2AlNb/Ti17) composites were fabricated through hot isostatic pressing. The designed SiCf/Ti2AlNb/Ti17 exhibited excellent tensile properties, with strengths of 1657 MPa at room temperature and 1830 450 °C. microstructure, fracture morphology, longitudinal section the characterized by X-ray diffraction, scanning electron microscopy, backscatter diffraction techniques. process during room-temperature tests was as follows: SiCf/Ti2AlNb reaction layer first...

Landslides pose a significant threat to human lives and property, making the development of accurate reliable landslide prediction methods essential. With rapid advancement multi-source remote sensing techniques machine learning, data-driven have attracted increasing attention. However, lack an effective efficient paradigm for organizing data unified workflow often results in weak generalization ability existing models. In this paper, we propose improved method based on spatio-temporal...

Sea urchin spines (Heterocentrotus mammillatus), with a hierarchical open-cell structure similar to that of human trabecular bone and superior mechanical property (compressive strength ∼43.4 MPa) suitable for machining shape, were explored potential applications defect repair. Finite element analyses reveal the compressive stress concentrates along dense growth rings dissipates through strut structures stereoms, indicating exquisite mesostructures play an important role in high...

Land cover data is an inventory of objects on the Earth's surface, which often derived from remotely sensed imagery. Deep Convolutional Neural Network (DCNN) a competitive method in image semantic segmentation. Some scholars argue that inadequacy training set obstacle when applying DCNNs remote sensing While existing land can be converted to large sets, size needs carefully considered. In this paper, we used different portions high-resolution map produce sizes sets train (SegNet and U-Net)...

The failure mechanism in SiC fiber-reinforced TC17 matrix composite bling, consisting of a titanium (TMC) core and alloy cladding, was investigated by experiments simulations. process the bling during rotational testing captured using high-speed camera. post-test broken sample pieces were examined X-ray diffraction scanning electron microscopy (SEM) to assess crack initiation propagation. A damage model TMC incorporated into finite element method (FEM) code user-material (UMAT) subroutine....

This study focuses on constructions that are vulnerable to fire hazards during wildfire events, and these known as ‘exposures’, which an increasingly significant area of disaster research. A key challenge lies in estimating dynamically comprehensively the risk individuals exposed spread. Here, ‘exposure risk’ denotes potential threat from fires within a future timeframe. paper introduces novel method integrates spatiotemporal knowledge graph with spread data exposure analysis model address...

The increasing frequency and magnitude of landslides underscore the growing importance landslide prediction in light factors like climate change. Traditional methods, including physics-based methods empirical are beset by high costs a reliance on expert knowledge. With advancement remote sensing machine learning, data-driven have emerged as mainstream prediction. Despite their strong generalization capabilities efficiency, suffer from loss semantic information during training due to...

With the rapid development of energy industry and growth global demand in recent years, photovoltaic has become increasingly significant. However, PV is constrained by high land costs, central cities industrial areas often very expensive unsuitable for installation equipment large areas. this background knowledge, key to evaluating potential counting rooftop information buildings, an ideal solution extracting building from remote sensing satellite images using deep learning method; however,...

Present approaches in PV (Photovoltaic) detection are known to be scalable a larger area using machine learning classification and have improved accuracy on regional scale with deep diagnostics. However, it may cause false detection, time, cost-consuming when models directly scaled area, particularly large-scale, highly urbanized areas. Thus, novel two-step downscaling methodology integrating broad spatial partitioning (step-1) detailed diagnostics (step-2) is designed applied Jiangsu...

Convolutional neural network (CNN)-based image super-resolution (SR) is one of the most active field research in remote sensing community. As a state-of-the-art super-resolving method, however, dense deep back-projection (DDBPN) ignores mutual differences among channel-wise features and discards initial feature when performing reconstruction. In this paper, we develop an enhanced (EBPN) with performance exceeding DDBPN other methods. The improvement gains from introducing attention mechanism...

The low-cycle fatigue behavior and damage progression of a SiC fiber reinforced Ti–6Al–2Sn–4Zr–2Mo-0.1Si matrix composite was investigated systematically. life increased from 4 to 52388 cycles when the maximum stress decreased 1500 MPa 1100 MPa. modulus calculated stress-strain response exhibited little variation for all specimens during process. Fractographic observations showed that cracks initiated internally propagated preferentially in internal sputtered instead unreinforced external...

Urban vitality analysis is an important means to measure the attractiveness and cohesion of urban development, which great significance operation situation awareness, fine governance planning design. Taking China Singapore Tianjin Eco-city as research area, based on multisource temporal-spatial data from January 2020 February 2021 provided by smart city aggregation platform, such transportation, catering waste recycling volume, books borrowed returned, this paper analyzed index five aspects...

There are many potential hazard sources along high-speed railways that threaten the safety of railway operation. Traditional ground search methods failing to meet needs safe and efficient investigation. In order accurately efficiently locate railway, this paper proposes a texture-enhanced ResUNet (TE-ResUNet) model for extraction from high-resolution remote sensing images. According characteristics in images, TE-ResUNet adopts texture enhancement modules enhance details low-level features,...