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Dust pollution in open-pit coal mines presents substantial environmental and occupational health hazards, requiring effective control measures. Although previous research has thoroughly investigated the correlation between wind speed and dust mass concentration, the influence of air humidity and its interaction with wind speed remains insufficiently studied. This investigation examines the effects of wind speed and air humidity on dust mass concentration and analyzes their combined impact through field observations and numerical simulations at the Pingshuo open-pit coal mine. The field data underwent analysis using Spearman’s rank correlation coefficient and Exploratory Factor Analysis (EFA). The analysis revealed that wind speed and air humidity significantly impact dust mass concentration. Nonlinear curve fitting further elucidated trends in dust mass concentration. Numerical simulations using Fluent software and Large Eddy Simulation (LES) were conducted to analyze dust distribution characteristics under individual variable influences. Results indicate that increasing wind speed generally decreases dust mass concentration within the open-pit mine, while increasing air humidity tends to increase it. Combining field monitoring with numerical simulation results demonstrated that dust mass concentration within the mine pit reaches its lowest level when wind speed is approximately 1.5 m⋅s − 1 and air humidity is about 45%. These environmental conditions are conducive to inhibiting the rise in dust mass concentration within the open-pit mine.

The all-terrain rescue lift vehicle is instrumental in mining emergency rescue operations, with its operational stability being of utmost importance. This study focuses on the XZJ5240JQZ30 all-terrain rescue lift vehicle, optimizing its vehicle structure and steering system. A linear 2DOF model and a PID gain model were developed based on actual vehicle parameters. A feedback system was employed to adjust the rear-wheel steering angle, enabling four-wheel steering (4WS) vehicle control. Numerical simulations were conducted using TruckSim and Simulink software. Utilizing the classic Double lane-change scenario as a test scenario, the study compared variations in the vehicle's centroid slip angle and yaw rate at different speeds, analyzing the impact of PID gain on steering stability. Moreover, the relationship between the centroid height and 4WS vehicle stability at low speeds was examined. Based on these findings, practical application tests were performed on the XZJ5240JQZ30 all-terrain rescue lift vehicle, obtaining relevant data on steering angle error. The results indicate that vehicles equipped with the PID-optimized control system demonstrate significantly higher steering stability than those without it. Furthermore, in practical applications, the actual steering angle closely aligns with the theoretical values. This demonstrates that the proposed optimized control system has substantial practical application value.

Cyclic GMP-AMP synthase (cGAS) is a key sensor of double-stranded DNA (dsDNA), initiating oligomerization and phase separation to drive immune responses against pathogens and endogenous damage. Porcine circovirus (PCV) induces immunosuppression, heightening susceptibility to secondary infections, but the underlying mechanisms remain unclear. Here, we report PCV type 2d (PCV2d) infection fails to induce type I interferons (IFN-I) and significantly suppresses IFN-I production upon poly (dA:dT) stimulation in a dose-dependent manner. Mechanistically, the replication-related protein (Rep) proteins of PCV2, PCV3 and PCV4 inhibit cGAS-mediated IFN-I induction by competitively binding dsDNA, thereby disrupting cGAS oligomerization and phase separation. Interestingly, Rep also suppresses mitochondria DNA-induced cGAS activation. We further identify Rep residues Q12 and R199-W202 as key regions facilitating dsDNA binding. Our findings reveal a previously unrecognized mechanism by which circovirus Rep antagonizes cGAS activation, providing new insights into PCV-induced immunosuppression.

Currently, there is a lack of systematic and quantitative analytical tools for dust emission control in open-pit iron mines. To address this research gap, this study constructs a comprehensive evaluation index system by integrating the Analytic Hierarchy Process (AHP) and the fuzzy comprehensive evaluation (FCE) method. The framework includes four first-level indicators, 12 s-level indicators and 30 third-level indicators. The structural design was informed by laws and regulations, the relevant literature and the principle of dust hierarchical control to ensure the theoretical and empirical basis for the selection of indicators. The evaluation process was based on on-site monitoring data and production ledgers from the open-pit iron mine of the Shuichang Mine, as well as the results of multiple rounds of consultation by the Delphi method group composed of 30 experts in related industries. The results show that the comprehensive score of the mine is 87.14 points, and the overall prevention and control is effective. But the performance of each dimension is unbalanced: fundamental data on production processes scored highest, while individual exposure and protection measures were relatively weak, indicating that the personnel protection link needs to be strengthened. Sensitivity analysis further verified the structural stability of the index system and identified the ventilation and dust removal system as a key driving factor. This framework can provide quantitative decision support for mine managers, enhancing the precision and overall effectiveness of dust control through the accurate identification of weaknesses and optimized resource allocation.

This study examines the influence mechanism of mining depth evolution on dust distribution, using the An Tai Bao open-pit coal mine as the research subject. A spatial coordinate system of the mining area was established utilizing a GIS positioning system, and high-resolution topographic data were extracted using Global Mapper. The research team developed a three-dimensional geological model updating algorithm with depth gradient as the characteristic parameter, enabling dynamic monitoring of mining depth with a model iteration accuracy of 0.5 m per update. A Fluent-based numerical simulation method was employed to construct a depth-dependent dust migration field solving system, aiming to elucidate the three-dimensional coupling mechanism between mining depth and dust dispersion. The findings reveal that mining depth demonstrates a three-stage critical response to dust migration. When the depth surpasses the threshold of 150 m, the wind speed attenuation rate at the pit bottom exhibits a marked change, and the dust dispersion distance decreases by 62% compared to shallow mining conditions. The slope pressure field evolution shows a significant depth-enhancement effect, with the maximum wind pressure at the leeward step boundary increasing by 22–35% for every additional 50 m of depth, resulting in dust accumulation zones with distinct depth-related characteristics. The west wind scenario demonstrates a particularly notable depth amplification effect, with the dust dispersion range in a 200-meter-deep pit expanding by 53.7% compared to the standard west wind condition. Furthermore, the interaction between particle size and depth causes the dust migration distance to exhibit exponential decay as depth increases. This research elucidates the progressive constraining influence of mining depth, a critical control parameter, on dust migration patterns. It establishes a depth-oriented theoretical framework for dust prevention and control strategies in deep open-pit mines.

Gasdermin A (GSDMA) remains a protein shrouded in mystery, particularly regarding its regulation by virus-encoded proteases. Previous studies have identified human GSDMA (hGSDMA) as a sensor and substrate of the SpeB from group A Streptococcus , which initiates pyroptosis. However, it is not clear if viral proteases also cleave GSDMA. In this study, we show that a fragment of porcine GSDMA (pGSDMA) containing the first 252 residues constitutes the pore-forming domain responsible for inducing lytic cell death and pyroptosis. Interestingly, picornavirus Seneca Valley Virus (SVV) protease 3C cleaves both pGSDMA and hGSDMA, generating a shorter fragment that fails to associate with the plasma membrane and does not induce pyroptosis. This cleavage by SVV 3C suppresses GSDMA-mediated lactate dehydrogenase release, bactericidal activity, and lytic cell death. This study reveals how SVV subverts host inflammatory defense by disrupting GSDMA-induced pyroptosis, thereby advancing our understanding of antiviral immunity and opening avenues for treating GSDMA-associated autoimmune diseases.

Inflammasomes and interferons are two critical defense mechanisms of innate immunity, and their imbalance is a key strategy employed by viruses to evade host immune surveillance. During porcine reproductive and respiratory syndrome virus (PRRSV) infection, an arteritis virus, a characteristic “high inflammation, low interferon” immune imbalance is observed. This study identifies PRRSV non-structural protein NSP5 as a central mediator of this immune imbalance. We demonstrate that NSP5 recruits NLRP3 to the endoplasmic reticulum (ER)-mitochondrial interface, triggering ER stress and Ca 2+ leakage, which subsequently activates the NLR family pyrin domain containing 3 (NLRP3) inflammasome. Notably, a specific NSP5 mutation (G30A) abolishes its ability to activate NLRP3. PRRSV carrying this mutation exhibits suppressed NLRP3 activation and IL-1β release. Concurrently, NSP5 retains STING in the ER, preventing its trafficking and inhibiting type I interferon induction. This dual mechanism ultimately drives the high inflammation and low interferon phenotype observed during PRRSV infection. Importantly, our findings reveal that a single viral protein can orchestrate immune imbalance, suggesting a potentially widespread strategy for viral evasion of host immune surveillance.

Alpha-herpesviruses, including pseudorabies virus (PRV) and herpes simplex virus type 1 (HSV-1), cause severe diseases in a wide range of hosts. However, the precise mechanisms of immune evasion by alpha-herpesviruses remains elusive, hindering the development of broad-spectrum antiviral vaccines and drugs. Here, we demonstrate that the immediate early protein US1, encoded by alpha-herpesviruses, directly interacts with cGAS, suppressing its dsDNA binding and enzymatic activity. Structural analysis using AlphaFold reveals a conserved overlapping region within PRV and HSV-1 US1 proteins. Deletion of these peptides leads to increased cGAS-mediated IFN-β production. Meanwhile, both synthetic and purified SUMO-fused US1 peptides significantly inhibit cGAS activity across species, with the SUMO-fused US1 peptides directly binding to the catalytic domain of cGAS. Both US1-deficient viruses (PRV-ΔUS1 and HSV-1-ΔUS1) exhibit higher IFN-β production and enhanced signaling through the cGAS-STING pathway. Importantly, mice infected with PRV-ΔUS1 or HSV-1-ΔUS1 show increased IFN-β secretion and reduced viral loads. In conclusion, overlapping peptides from US1 protein of alpha-herpesviruses antagonize cGAS-mediated innate immune responses, highlighting a promising target for the development of broad-spectrum inhibitors to counteract herpesvirus infections.

Cyclic GMP-AMP synthetase (cGAS) is robustly expressed in the nucleus and tightly tethered by chromatin to prevent its activation with self-DNA. During stimulation or infection, nuclear cGAS is activated and translocates from the nucleus to the cytoplasm. However, the viral strategies specifically targeting nuclear cGAS are completely unexplored. Here, we discovered that protease 3C of Seneca Valley virus translocates from the cytoplasm to the nucleus upon viral infection, binds to nuclear DNA, and specifically cleaves H2A. Furthermore, DNA binding to 3C enhances the cleavage of nuclear cGAS within its N-terminal domain. The hindrance of cGAS translocation from the nucleus to the cytoplasm results in the suppression of IFN-I induction and leads to immune evasion. This work uncovers a unique mechanism wherein a viral protease binds to nuclear DNA and cleaves nuclear cGAS and histone H2A, leading to viral evasion of cGAS-mediated immune restriction.

Natural gas pipelines in mountainous areas are particularly vulnerable to mechanical damage because of complex terrain, frequent geological hazards such as landslides and rockfalls, and disturbances from external construction activities. Once leakage occurs, emergency response is more challenging and the potential hazards are more severe. Therefore, investigating the diffusion characteristics of pipeline leakage under such terrain conditions is of great engineering significance and practical urgency. This study investigates the diffusion characteristics of natural gas pipeline leaks across various terrains, focusing on a section of the Sichuan Gas Eastward Transmission Project in a mountainous area. Models for three geographical environments flat ground, hillside, and mountain foot were constructed using Design Modeler. The Detached Eddy Simulation (DES) method was employed to investigate the impact of different wind speeds on leakage dispersion under the condition of small-orifice leakage in natural gas pipelines. The analysis, based on methane gas cloud range and the Ω criterion, reveals distinct diffusion patterns across terrains. In flat terrain at low wind speeds, methane gas clouds within the explosion limit range accumulate extensively at high altitudes due to vortex formation at the gas cloud boundary. Hillside gas jets demonstrate minimal wind speed influence, while at the mountain foot, turbulent vortices entrain leaked gas, causing accumulation. Increasing wind speeds in flat terrain decrease methane gas cloud height but lead to significant near-ground accumulation within the explosion limit range, presenting extreme risks. On hillsides, leaked gas spreads upward along the slope, forming spherical methane clouds near the leakage point. At the mountain foot, higher wind speeds intensify turbulent vortices within the accumulated methane gas cloud, gradually diminishing the concentration gradient until it disappears.