Modeling Link-level Road Traffic Resilience to Extreme Weather Events Using Crowdsourced Data

Climate changes lead to more frequent and intense weather events, posing escalating risks to road traffic. Crowdsourced data offer new opportunities to monitor and investigate changes in road traffic flow during extreme weather. This study utilizes diverse crowdsourced data from mobile devices and the community-driven navigation app, Waze, to examine the impact of three weather events (i.e., floods, winter storms, and fog) on road traffic. Three metrics, speed change, event duration, and area under the curve (AUC), are employed to assess link-level traffic change and recovery. In addition, a user's perceived severity is computed to evaluate link-level weather impact based on crowdsourced reports. This study evaluates a range of new data sources, and provides insights into the resilience of road traffic to extreme weather, which are crucial for disaster preparedness, response, and recovery in road transportation systems

Understanding the Habitual Pattern of Concomitant Consumption of Herbs to Alleviate the Symptoms of Ulcerative Colitis by Comparative Proteome Analysis

Anchang decoction is an empirical prescription for the treatment of ulcerative colitis in China. In order to better understand its therapeutic function, large efforts have been made to identify its chemical constituents and to unravel the efficacy of its principal constituents. However, the molecular mechanism of its combinations is still unclear. Proteomics application has yielded some positive results in drug development and the identification of potential drug targets, suggesting the potential of this analytical approach to explore the action of molecular mechanisms of herbal formula by robustly addressing dynamic proteome changes. Label-free quantification and parallel reaction monitoring were used to identify differentially expressed proteins in the colon tissue of ulcerative colitis rats, fed with Anchang decoction and mesalazine, respectively. In this study, a total of 1,182 proteins were identified. From GO and KEGG analyses, the proteins of cytoskeleton and cytochrome P450 changed significantly with the occurrence of ulcerative colitis. In the meantime, antigen binding proteins and antioxidant-related proteins turned out to have drastic fluctuations with mesalazine and Anchang decoction. It has also been confirmed that KRT8, MYH11, FLNA, and LMNA are all related to the formation of ulcerative colitis based on parallel reaction monitoring analysis. The increase in FGG in the ulcerative colitis rat model is due to mesalazine, whereas that in KRT8 is due to Anchang decoction. The results from this study provide insights for the mechanism of action of Anchang decoction, which turns out to be an efficient technical pipeline for understanding worldwide medicinal herbs

Prevalence of non-alcoholic fatty liver disease and its relation to hypoadiponectinaemia in the middle-aged and elderly Chinese population

Introduction: Hypoadiponectinaemia is an important risk factor for non-alcoholic fatty liver disease (NAFLD). However, little is known about its role in the Chinese population. This study sought to assess the prevalence of NAFLD and its association with hypoadiponectinaemia in middle-aged and elderly Chinese. Material and methods: We conducted a population-based cross-sectional study in an urban Shanghai sample of 2201 participants age 50 years to 83 years (973 men, 1228 women). Hepatic ultrasonographic examination was performed for all participants. Serum adiponectin concentrations were measured by ELISA methods. Results: The prevalence of NAFLD was 19.8% (16.0% in men, 22.8% in women). Serum adiponectin levels were significantly higher in female than in male subjects (p < 0.001). Serum adiponectin levels were significantly lower in NAFLD subjects than those in control subjects (p < 0.001). The prevalence of NAFLD progressively increased with declining adiponectin levels (p(for) (trend) < 0.001). The participants in the lowest adiponectin quartile had a significantly increased risk for acquiring NAFLD (OR = 2.31, 95% CI 1.72-3.15) after adjustment for potential confounders. Conclusions: Population-based screening suggests that NAFLD is highly prevalent in middle-aged and elderly people in Shanghai, particularly among women. Serum adiponectin level is negatively associated with NAFLD independently of potential cofounders, indicating that hypoadiponectinaemia may contribute to the development of NAFLD

Efficacy, Stability, and Biosafety of Sifuvirtide Gel as a Microbicide Candidate against HIV-1

Sifuvirtide is a proven effective HIV-1 entry inhibitor and its safety profile has been established for systemic administration. The present study evaluated the potential of sifuvirtide formulated in a universal gel for topical use as a microbicide candidate for preventing sexual transmission of HIV. Our data showed that sifuvirtide formulated in HEC gel is effective against HIV-1 B, C subtypes, CRF07_BC and CRF01_AE, the latter two recombinants represents the most prevalent strains in China. In addition, we demonstrated that sifuvirtide in gel is stable for at least 8 weeks even at 40°C, and did not cause the disruption of integrity of mucosal epithelial surface, or the up-regulation of inflammatory cytokines both in vitro or in vivo. These results suggest that sifuvirtide gel is an effective, safe and stable product, and should be further tested as a vaginal or rectal microbicide in pre-clinical model or clinical trial for preventing HIV sexual transmission

Research of a Radar Imaging Algorithm Based on High Pulse Repetition Random Frequency Hopping Synthetic Wideband Waveform

Aiming at the imaging algorithm of high-pulse-repetition random-frequency-hopping synthetic wideband radar on a supersonic/hypersonic aircraft platform, this study established an echo simulation model of target and clutter, analyzed the special range-Doppler coupling effect and its influence on imaging, and proposes a method of imaging with pipeline-parallel processing based on generalized 2D matched-filtering and Doppler pre-processing. In the method, Doppler-beam-sharpening was advanced to be performed with the pulse compression process in each frame, and the special range-Doppler coupling effect caused by high dynamic motion of platform and random frequency hopping in bandwidth synthesis was well suppressed; several modes of random frequency hopping were designed and the pipeline-parallel image processing algorithm was optimized for each mode. Theoretical analysis and simulation results show that the proposed imaging method can effectively avoid the divergence of 2D range-Doppler images in the range direction, and can meet the requirements of real-time imaging

Application status and problems of machine-made sand in Highway Engineering

Based on the investigation of the application of machine-made sand in Shaoxing, Zhejiang Province, this paper analyses the supply and demand of local machine-made sand, combined with the application of machine-made sand in highway engineering projects such as Hangzhou Shaoxing Taizhou expressway. It discusses the problems existing in the current machine-made sand industry, such as slow overall application, uneven quality and low application of high-grade concrete, and puts forward many measures to promote high-quality machine-made sand. In the application of high-grade concrete, it is suggested that the government should develop the machine-made sand market jointly with many departments, increase efforts to crack down on the inferior sand, cultivate the high-quality machine-made sand market, and improve the engineering quality of the machine-made sand concrete

3D-GIoU: 3D Generalized Intersection over Union for Object Detection in Point Cloud

Three-dimensional (3D) object detection is an important research in 3D computer vision with significant applications in many fields, such as automatic driving, robotics, and human&ndash;computer interaction. However, the low precision is an urgent problem in the field of 3D object detection. To solve it, we present a framework for 3D object detection in point cloud. To be specific, a designed Backbone Network is used to make fusion of low-level features and high-level features, which makes full use of various information advantages. Moreover, the two-dimensional (2D) Generalized Intersection over Union is extended to 3D use as part of the loss function in our framework. Empirical experiments of Car, Cyclist, and Pedestrian detection have been conducted respectively on the KITTI benchmark. Experimental results with average precision (AP) have shown the effectiveness of the proposed network