Study on tunnel ventilation and pollutant diffusion mechanism during construction period.

Ventilation technology is an important means to ensure effective control of pollutant concentration and safe production during tunnel drilling and blasting construction. This study combines theoretical derivation, numerical simulation, and mathematical statistics to explore the extraction of flow field distribution characteristics and pollutant transport and diffusion mechanisms in tunnels. The research results indicate that the instability and turbulence effects of fluids work together to form a vortex zone near the tunnel working face.

Research analytics on the applications of flexible formwork gob-side entry retention technology in medium-thickness coal seams with large inclination angles.

Gob-side entry retention (GER) has been successfully advanced and implemented for several years. Notably, strong economic returns have been realised for different thicknesses of coal seams under near-horizontal and gently inclined conditions. However, implementing gob-side entry retention under the conditions of high dip angle or steeply inclined coal seam has always been difficult.

Discrete wavelet integrated convolutional residual network for bearing fault diagnosis under noise and variable operating conditions.

Bearing faults in rotating machinery can lead to significant economic losses due to downtime and pose serious safety risks. Accurate fault diagnosis is crucial for effective condition monitoring. Traditional methods for diagnosing bearing faults under noisy conditions often rely on complex data preprocessing and struggle to maintain accuracy in high-noise environments.

Lane line detection based on cross-convolutional hybrid attention mechanism.

In order to enhance the accuracy and robustness of lane line recognition in dynamic and complex environments, this paper proposes a lane line detection model based on a cross-convolutional hybrid attention mechanism (CCHA-Net). Unlike traditional approaches that separately employ channel and spatial attention, our proposed mechanism integrates these modalities through cross-convolution, thereby enabling cross-group feature interaction and dynamic spatial weight allocation. This novel integration not only improves the continuity of elongated lane features but also enhances the model's ability to capture long-range dependencies in challenging scenarios.

Energy evolution law and catastrophic failure prediction of Luohe formation sandstone during rupture process experienced one freeze-thaw cycle.

To explore the energy damage evolution law and catastrophic failure characteristics of sandstone in Luohe Formation after thawing, the uniaxial compression tests on sandstone after one freeze-thaw cycle with different freezing temperatures were conducted. The mechanical properties and failure mode of thawed sandstone were analyzed. Furthermore, the energy evolution and its sensitivity to freezing temperature during deformation and failure were investigated.

Detection of water-rich areas and seepage channels via the transient electromagnetic method, electrical resistivity tomography, and self-potential method.

Groundwater serves as a vital water resource for human society, yet it also plays a significant role in geological- and engineering-related hazards, such as landslides, tunnel collapses, and mining-related issues. Detecting water-rich zones and groundwater seepage pathways is essential for mitigating these risks. The Xiaogangou Coal Mine, located in a low- to mid-mountainous region at the northern foot of the Tianshan Mountains in Xinjiang, China, contains multiple coal seams distributed at a depth of approximately 600 m.

Study on the Approach to Obtaining Mechanical Properties Using Digital Image Correlation Technology.

Accurate mechanical property parameters constitute an indispensable guarantee for the accuracy of finite element simulations. Traditionally, uniaxial tensile tests are instrumental in acquiring the stress-strain data of materials during elongation, thereby facilitating the determination of the materials' mechanical property parameters. By capitalizing on the digital image correlation (DIC) non-contact optical measurement technique, the entire test can be comprehensively documented using high-speed cameras.

Effects of Oil Leaching on the Physicochemical Structure of Coal.

To investigate the variation in the gas adsorption performance of oil-impregnated coal under crude oil intrusion conditions, infrared spectroscopy experiments, combined with the author's research, analyzed the main active functional groups of raw coal and oil-impregnated coal and calculated the pore fractal dimensions of both. This study aims to elucidate the mechanism by which crude oil intrusion affects the gas adsorption performance. The total hydroxyl functional group content of oil-impregnated coal exhibited an average increase of 22.

Piezoelectric dual-network tough hydrogel with on-demand thermal contraction and sonopiezoelectric effect for promoting infected-joint-skin-wound healing via FAK and AKT signaling pathways.

The dynamic and whole stage management of infected wound healing throughout the entire repair process, including intelligent on-demand wound closure and the regulation of the transition from bactericidal to reparative phases, remains a major challenge. This study develops sonopiezoelectric-effect-mediated on-demand reactive-oxygen-species release by incorporating piezoelectric barium titanate modified with gold nanoparticles and a thermally responsive dual-network tough hydrogel dressing with a physical network structure based on ureidopyrimidinone-modified gelatin crosslinked by multiple hydrogen bonds, and with a chemical network structure based on N-isopropylacrylamide and methacryloyl gelatin formed via radical polymerization. This hydrogel exhibits temperature-sensitive softening, on-demand thermal contraction performance, high mechanical strength, good tissue adhesion, outstanding piezoelectricity, tunable sonopiezoelectric behavior, regulatable photothermal properties and desirable biocompatibility.

Effect of freeze-thaw cycles on mechanical performance of loess soil stabilized with nano magnesium oxide.

Construction in northwest China is generally packed with issues linked to loess soil with poor engineering properties and day-night and seasonal freeze-thaw (FT) actions. This study explored the potential benefits of nano-MgO (NM) as an innovative solution for improving mechanical properties of loess. To this end, a series of unconfined compression test (UCT) and nuclear magnetic resonance tests (NMRT) were conducted.

Independent and synergistic effects of extreme heat and NO pollution on diabetic nephropathy in a type II diabetes mouse model.

Extreme heat and traffic-related air pollution (TRAP) have been linked to worsening chronic health disorders, however, their combined effects on diabetic nephropathy (DN) are little understood. Type II diabetic mice were exposed to heat (40 °C) and NO (5 ppm) separately for 4 h per day over 6 weeks to investigate the synergistic effects on the progression of DN. We found that exposure to high temperature and NO elevated blood glucose levels and exacerbated histopathological changes.

Edible and Medicinal Fungi as Candidate Natural Antidepressants: Mechanisms and Nutritional Implications.

This systematic review examines the antidepressant potential of edible medicinal fungi (EMFs), focusing on their bioactive compounds and mechanisms of action. EMFs modulate neurotransmitter systems, including serotonin (5-HT) and dopamine (DA), alleviating depressive symptoms. Extracts from EMFs, such as Ganoderma lucidum, Hericium erinaceus, Poria cocos, and Cordyceps militaris, demonstrate significant antidepressant-like effects in preclinical studies.

The Mechanism Underlying Enhanced Coal-to-Methane Conversion in Anaerobic Digestion With Betaine Supplementation.

Anaerobic digestion (AD) of coal-to-methane technology represents a promising energy conversion method that not only reduces environmental pollution but also contributes to sustainable development. However, low methane conversion efficiency remains a major challenge. This study investigates the use of betaine, a green and environmentally friendly alkaloid, to enhance the AD process of coal.

ED-Swin Transformer: A Cassava Disease Classification Model Integrated with UAV Images.

The outbreak of cassava diseases poses a serious threat to agricultural economic security and food production systems in tropical regions. Traditional manual monitoring methods are limited by efficiency bottlenecks and insufficient spatial coverage. Although low-altitude drone technology offers advantages such as high resolution and strong timeliness, it faces dual challenges in the field of disease identification, such as complex background interference and irregular disease morphology.

Research on the Microscopic Aging Characteristics of Asphalt Binder Based on Atomic Force Microscopy.

To deeply analyze the difference between styrene-butadiene-styrene (SBS)-modified asphalt and base asphalt in ultraviolet (UV) aging performance, an atomic force microscope was used to carry out an accurate analysis of the bee structural characteristic parameters of two kinds of asphalt experiencing different UV aging time duration. With the advantages of the Levenberg-Marquardt (LM) algorithm and universal global optimization (UGO) algorithm, the relationship between the microscopic characteristic value and the performance index of asphalt under UV aging was constructed. The results show that the physical parameters of the bee structure of asphalt are closely related to the macroscopic properties of asphalt materials.

Study on the gas flow resistance state in unstable collapse boreholes and the classification of borehole types.

One of the key issues affecting the efficient extraction of coal seam gas is the instability and collapse of extraction boreholes. To investigate the impact of collapsed coal particles on gas flow, a simulation system for gas extraction in collapsed boreholes was established. Based on the characteristics of gas flow resistance distribution within the borehole, the effects of coal particle size and collapse location on gas extraction were investigated.

Multiscale investigation of hydrate pore habits and microscopic seepage mechanisms for optimizing CO storage in high-porosity sediments.

Hydrate-based CO storage (HBCS) has emerged as a promising approach within carbon capture and storage (CCS) technologies, offering a potential pathway for mitigating CO emissions. The permeability of hydrate-bearing sediments (HBSs) is crucial for predicting the feasibility of HBCS, yet the seepage mechanisms become quite complex during the formation or dissociation of hydrates. The objective of this paper is to investigate the hydrate pore habits and the evolution of key physical properties at both macroscopic and microscopic scales, utilizing an integrated set of methodologies such as CT scan, nuclear magnetic resonance and ultrasonic pulse methods, and present a theoretical equation that correlates P-wave velocity with permeability for HBSs.

Study on Experimental Parameters of Alkali-Assisted Extraction of Aluminum from Fly Ash.

Extracting aluminum from FA is an effective way to improve its utilization rate. Since aluminum oxide is found in high polymerization degree, inert substances such as mullite and sodium aluminosilicate make the reaction process difficult because of their stable chemical properties; within these highly polymerized matrices, the chemical stability of alumina typically persists across a broad temperature range from 1000 °C to over 1600 °C. To address the issue of stable mullite structure that hinders aluminum extraction, a combined acid-base method using sodium carbonate as an activating agent and hydrochloric acid at a temperature of 100 °C as a leaching agent is employed.

Characteristics analysis of a single electromechanical arm driven by a functional neural circuit.

From a biological viewpoint, the muscle tissue produces efficient gait behavior that can be adjusted by neural signals. From the physical viewpoint, the limb movement can be simulated by applying a neural circuit to control the artificial electromechanical arm (EA). In this paper, a functional neural circuit is used to excite a single EA, the load circuit attached to the moving beam is driven by a neural circuit, and the Ampere force is activated by the load circuit to control the artificial EA.

Role of Adsorption-Induced Deformation on Gas Self-Diffusivity in a Flexible Microporous Coal Matrix.

Adsorption-induced deformation has long been underappreciated in gas transport studies of microporous coal, yet it strongly influences pore configurations and diffusive pathways. Here, a hybrid grand canonical Monte Carlo (GCMC)/molecular dynamics (MD) approach and equilibrium MD (EMD) simulations are employed to investigate how matrix flexibility reshapes pore structures and, in turn, impacts CH and CO self-diffusion in connected pore networks under various gas loadings. The results show that coal matrix deformation enhances adsorption, with CO exhibiting greater uptake and volumetric strain than CH.

Isomeric Separation of C6 Alkanes via Organic Solvent Reverse Osmosis with Covalent Organic Framework Membranes.

Membrane separation represents cutting-edge technology for the isomeric separation of C6 alkanes in the petrochemical sector. However, it remains challenging to design membranes with sub-0.1 nm resolution that can effectively discriminate between C6 alkane isomers.

High-throughput community and metagenomic elucidate systematic performance variation and functional transition mechanisms during morphological evolution of aerobic sludge.

In this study, high-throughput sequencing and metagenomics were used to investigate the microbial succession and functional gene dynamics during aerobic sludge granulation from activated sludge (AS) to aerobic granular sludge (AGS) to algal-bacterial granular sludge (ABGS). It was found that the settleability and pollutant removal efficiency of the sludge system increased with the sludge morphology evolution. Extracellular polymeric substances (EPS) analysis showed a rise in protein from 2.

Emotional intelligence moderated the mediating effect of professional identity between social support and psychological well-being among pre-service teachers.

Based on the Conservation of Resources Theory, the research explored the relationships between social support and the psychological well-being of pre-service teachers. It specifically examined the mediating effects of professional identity and the moderating impact of emotional intelligence. A cross-sectional survey was conducted using the Perceived Social Support Questionnaire, Teachers' Professional Identity Scale, Emotional Intelligence Scale, and Flourishing Scale with a sample of 457 (68.

Do economic and reputation incentives matter in the carbon generalized system of preferences? Empirical evidence from China's new tier-one cities.

The Carbon Generalized System of Preferences (CGSP), served as an important policy tool for reducing downstream carbon emissions, is facing the dilemma of a low level of resident participation. The experimental method was employed to investigate the willingness to participate in the CGSP with respect to different economic and reputation-related incentives, and multiple linear regression analysis was applied to analyze the influencing path of willingness of residents from new first-tier cities in China. The findings show that residents with a high willingness to participate are characterized by a high level of education and government-related jobs.

Water quality parameters retrieval and nutrient status evaluation based on machine learning methods and Sentinel- 2 imagery: a case study of the Hongjiannao Lake.

A timely and accurate understanding of lake water quality is significant for maintaining ecological balance, ensuring water resource security, and promoting regional sustainable development. However, due to the varying numerical ranges and characteristics of different water quality parameters (WQPs), the selection of optimal retrieval algorithms is also different, which undoubtedly increases the complexity of different WQPs retrieval. To solve this problem, this study took the Hongjianao Lake in China as the research object, based on the measured data of chlorophyll-a (Chl-a), turbidity (TU), chemical oxygen demand (COD), total nitrogen (TN), total phosphorus (TP), ammonia nitrogen (NH-N), electrical conductivity (EC) and potential of hydrogen (pH) and Sentinel- 2 images, compared the ability of Boruta, recursive feature elimination (RFE) and shapley additive explanations (SHAP) methods to obtain the optimal feature subset.