Identification of hypertension gene expression biomarkers based on the DeepGCFS algorithm.

Hypertension is a critical risk factor and cause of mortality in cardiovascular diseases, and it remains a global public health issue. Therefore, understanding its mechanisms is essential for treating and preventing hypertension. Gene expression data is an important source for obtaining hypertension biomarkers.

Weighted comprehensive risk assessment and pollution analysis of long-term printing and dyeing sludge landfills in an industrialized Chinese city.

Sludge landfilling is widely used in China, accounting for approximately 65% of total sludge disposal, due to its simplicity and cost-effectiveness. However, with increasing land scarcity and stricter environmental regulations, the Chinese government has emphasized reducing sludge landfilling. Despite these efforts, sludge historically disposed of in landfills continues to pose risks, including heavy metal leaching and contamination of groundwater and soil.

Trends in conductive MOFs for sensing: A review.

Metal-organic frameworks (MOFs) are porous, ordered arrays formed by coordination bonds between organic ligands and metal ions or clusters. The highly tunable properties of the MOF structure and performance make it possible to meet the needs of many applications. Conductive MOFs are essential in the domain of sensing due to their electrical conductivity, porosity, and catalytic properties, offering an effective platform for detection.

Automated gradation design of natural waste gravel soil stabilized by composite soil stabilizer based on a novel DNNSS-APDM-PFC model.

The utilization of natural waste gravel soil as base course material contributes to environmental protection and carbon emission reduction. The purpose of this research is to establish a new model for automated gradation design of the composite soil stabilizer-stabilized waste gravel soil (CSSWGS). A gradation range of CSSWGS has been proposed.

MambaPose: A Human Pose Estimation Based on Gated Feedforward Network and Mamba.

Human pose estimation is an important research direction in the field of computer vision, which aims to accurately identify the position and posture of keypoints of the human body through images or videos. However, multi-person pose estimation yields false detection or missed detection in dense crowds, and it is still difficult to detect small targets. In this paper, we propose a Mamba-based human pose estimation.

The Buckling Behavior and Reliability Evaluation of a Cable-Stayed Bridge with Unique-Shaped Towers.

Buckling is a significant concern for cable-stayed bridges that incorporate a large number of steel components, particularly those featuring unique-shaped towers that require further examination due to the intricate internal force and stress distribution. This paper investigates the buckling behavior of a cable-stayed bridge with inverted V-shaped towers. The cable tower is characterized by its unique design that consists of diagonal bracings and columns in a compression-bending state.

Evaluation of water environmental capacity in a northern river-reservoir continuum using environmental fluid dynamics code.

The hydrodynamics, water temperature, and water quality model for the Dan River and Renzhuang Reservoir continuum were developed using field monitoring data and the Environmental Fluid Dynamics Code (EFDC). An in-situ water discharge experiment enabled the calculation of water propagation time using a simulated flood progression method and the hydrodynamics module of EFDC. Based on these model results, degradation coefficients for chemical oxygen demand, biochemical oxygen demand, nitrogen (N), phosphorus (P), fluoride, arsenic were determined, revealing significantly higher values when the wetland barrage was opening.

Investigating the safety influence path of right-turn configurations on vehicle-pedestrian conflict risk at signalized intersections.

Right-turning vehicles and pedestrians share the right-of-way during the permitted signal phase at intersections in countries with right-handed traffic. Although right-turning vehicles are required to stop or yield to pedestrians according to the traffic rules, there still remains circumstances where the two will compete, posing significant safety risks to pedestrians. To investigate the impact mechanism of right-turn configurations, driver characteristics, and traffic operational features on vehicle-pedestrian conflict risk, a driving simulator experiment was conducted.

Explainable prediction model for punching shear strength of FRP-RC slabs based on kernel density estimation and XGBoost.

Reinforced concrete (RC) slabs are widely used in modern building structures due to their superior properties and ease of construction. However, their mechanical properties are limited by their punching shear strength in the connection region with the columns. Researchers have attempted to add steel reinforcement in the form of studs and randomly distributed fibers to concrete slabs to improve the punching strength.

Research on multi-objective hierarchical site selection coverage of fire station.

The fire station location has essential theoretical and practical values, not only in terms of maintaining the safety of life and property, but also enriching the optimization theory of site selection problems. To study the multi-objective siting problem of fire stations, we firstly divided demand areas and fire stations into three levels to form a comprehensive hierarchical emergency coverage network covering fire risk areas. Secondly, the nodes of the original location of the fire station were added to the set of nodes of the planned construction of the fire station.

Polyanionic Electrolyte Ionization Desalination Empowers Continuous Solar Evaporation Performance.

Solar evaporation contributes to sustainable and environmentally friendly production of fresh water from seawater and wastewater. However, poor salt resistance and high degree of corrosion of traditional evaporators in brine make their implementation in real applications scarce. To overcome such deficiency, a polyanionic electrolyte functionalization strategy empowering excellent uniform desalination performance over extended periods of time is exploited.

Biogel Library-Accelerated Discovery of All-Natural Bioelectronics.

Biogels prepared from natural biopolymers are ideal candidates for constructing bioelectronics from the perspective of commercialization and environmental sustainability. However, discovering all-natural biogels that meet specific properties, such as mechanical properties, optical transparency, and stability, remains challenging. Here, our study introduces a revolutionary biogel library, a novel resource that significantly accelerates the discovery and application of suitable all-natural biogel materials for bioelectronics.

Stability analysis of electromagnetic suspension systems coupled with flexible frames: Modeling, control, analysis and experimentation.

The stability of the suspension is a key challenge for the application and promotion of electromagnetic suspension technology, especially when it operates in conjunction with a flexible structure, which significantly increases the system's complexity. This paper abstracts the characteristics of the coupling conditions between an electromagnetic suspension system and a flexible structure and designs and constructs an experimental apparatus that includes an electromagnet and a simulated flexible structure with adjustable stiffness and inertia. Based on the Lyapunov method, the central manifold theorem, and the Poincaré method, the stability of the electromagnetic suspension system and the conditions for Hopf bifurcations are derived.

Matrix scenario-based urban flooding damage prediction via convolutional neural network.

This study introduces a cutting-edge, high-resolution tool leveraging the predictive prowess of convolutional neural networks to advance the field of hazard assessment in urban pluvial flooding scenarios. The tool uniquely accounts for the high heterogeneity of urban space and the potential impact of complex climate scenarios, which are often underestimated by traditional data-reliant methods. Employing Shenzhen as a case study, the model showcased superior accuracy, resilience, and interpretability, illuminating potential flood hazards.

Assessing the nonlinear impact of green space exposure on psychological stress perception using machine learning and street view images.

Introduction: Urban green space (GS) exposure is recognized as a nature-based strategy for addressing urban challenges. However, the stress relieving effects and mechanisms of GS exposure are yet to be fully explored. The development of machine learning and street view images offers a method for large-scale measurement and precise empirical analysis.

Case investigation on the construction mode of rural landscapes in the Qinghai Tibet Plateau, Mengda National Nature Reserve.

It is vital and challenging to coordinate the protection of natural reserves with rural construction. The rural structure and function were divided during the creation of natural reserves on the Qinghai Tibet Plateau (QTP), throwing the rural structure and functional system and its constituent parts out of balance. According to current research results on the construction mode of rural landscapes, the creation of rural landscapes is unable to address the requirements of villages and encourage the creation of protected areas.

Effect of older adults willingness on telemedicine usage: an integrated approach based on technology acceptance and decomposed theory of planned behavior model.

Background: Telemedicine, as a novel method of health management system, has demonstrated to have a significant impact on health levels. However, a challenge persists in the form of low usage rates and acceptance among older adults in China. There are accumulating evidence that willingness will affect the telemedicine usage among older adults.

Effect of sponge city facilities on the exposure characteristics and ecological risks of antibiotics in urban inland lakes: A case study at Fuzhou, China.

Antibiotics are increasingly found in urban lakes, posing significant ecological risks to lake ecosystems. The impact of sponge city facilities on urban flood control is significant; however, their influence on the exposure characteristics and risks associated with antibiotics in urban inland lakes remains unclear. This study investigated the exposure characteristics and evaluated the ecological risks of 15 antibiotics across seven lakes of Fuzhou (as the target of sponge city) in different seasons, in comparison to non-sponge cities.

Study on Temperature Response of Rubberized Concrete Pavement Based on Fiber Bragg Grating Testing Technology.

The temperature response of pavement is not only crucial for assessing the internal stresses within pavement structures but is also an essential parameter in pavement design. Investigating the temperature response of rubberized concrete pavements (RCP) can support the construction of large-scale rubber concrete pavements. This study constructed a pavement monitoring system based on fiber Bragg grating technology to investigate the temperature distribution, temperature strain, temperature effects, and temperature stress of RCP.

DAEiS-Net: Deep Aggregation Network with Edge Information Supplement for Tunnel Water Stain Segmentation.

Tunnel disease detection and maintenance are critical tasks in urban engineering, and are essential for the safety and stability of urban transportation systems. Water stain detection presents unique challenges due to its variable morphology and scale, which leads to insufficient multiscale contextual information extraction and boundary information loss in complex environments. To address these challenges, this paper proposes a method called Deep Aggregation Network with Edge Information Supplement (DAEiS-Net) for detecting tunnel water stains.

Experimental and Numerical Investigations on the Seismic Performance of High-Strength Exterior Beam-Column Joints with Steel Fibers.

Steel fiber reinforced high-strength concrete (SFRHSC) is a composite material composed of cement, coarse aggregate, and randomly distributed short steel fibers. The excellent tensile strength of steel fiber can significantly improve the crack resistance and ductility of high-strength concrete (HSC). In this study, experimental and numerical investigations were performed to study the cyclic behavior of the HSC beam-column joint.

Carbon footprint analysis of wastewater treatment processes coupled with sludge in situ reduction.

The goal of this study was to assess the impacts or benefits of sludge in situ reduction (SIR) within wastewater treatment processes with relation to global warming potential in wastewater treatment plants, with a comprehensive consideration of wastewater and sludge treatment. The anaerobic side-stream reactor (ASSR) and the sludge process reduction activated sludge (SPRAS), two typical SIR technologies, were used to compare the carbon footprint analysis results with the conventional anaerobic - anoxic - oxic (AAO) process. Compared to the AAO, the ASSR with a typical sludge reduction efficiency (SRE) of 30 % increased greenhouse gas (GHG) emissions by 1.

The architecture of functional brain network modulated by driving under train running noise exposure.

A noisy environment can considerably impact drivers' attention and fatigue, endangering driving safety. Consequently, this study designed a simulated driving experimental scenario to analyse the effects of noise generated during urban rail transit train operation on drivers' functional brain networks. The experiment recruited 16 participants, and the simulated driving scenario was conducted at noise levels of 50, 60, 70, and 80 dB.