Study on the law of air leakage in goaf under the influence of double-series coal seam mining.

In order to solve the engineering problem of a large amount of wind leakage in the 8106 comprehensive mining working face of the Carboniferous System under the influence of overlapping mining of two coal seams in Yongdingzhuang Mine, Datong Mining Area, this paper utilizes finite element numerical simulation software to study the wind leakage characteristics of the 8106 working face and the distribution range of the spontaneous combustion "three zones" of the mining area. The results show that, under the condition of external air leakage, the internal pressure of the goaf is greater than the external pressure, the upper pressure is greater than the lower pressure, and the seepage direction is from the top down and from the inside out. Under the condition of no external air leakage, the air leakage source is mainly concentrated in the air inlet lane.

Specific Enrichment of Carrying Microorganisms with Nitrogen Fixation and Dissimilatory Nitrate Reduction Function Enhances Arsenic Methylation in Plant Rhizosphere Soil.

Plants can recruit microorganisms to enhance soil arsenic (As) removal and nitrogen (N) turnover, but how microbial As methylation in the rhizosphere is affected by N biotransformation is not well understood. Here, we used acetylene reduction assay, gene amplicon, and metagenome sequencing to evaluate the influence of N biotransformation on As methylation in the rhizosphere of , a potential As hyperaccumulator. was grown in mining soils (MS) and artificial As-contaminated soils (AS) over two generations in a controlled pot experiment.

Collaborative control technology and application of support and modification for soft-rock roadway in a kilometer-deep coal mine.

The soft-rock roadways in kilometer-deep coal mines are often damaged by large deformation and have to be periodically expanded and repaired, which seriously restricts the safe and efficient production of coal mines. A typical soft-rock roadway in a kilometer-deep coal mine is selected as the engineering, and the main reasons for roadway deformation are analyzed, and the ground stress and mechanical characteristics are obtained. The Flac numerical model, which can accurately reflect the deformation characteristics of surrounding rock in kilometer-deep soft-rock roadway, has been constructed, and the evolution laws of stress field and its damage mechanism have been analyzed with the vertical stress, vertical displacement and plastic zone.

Belt conveyor idler fault detection algorithm based on improved YOLOv5.

The rapid expansion of the coal mining industry has introduced significant safety risks, particularly within the harsh environments of open-pit coal mines. The safe and stable operation of belt conveyor idlers is crucial not only for ensuring efficient coal production but also for safeguarding the lives of coal mine workers. Therefore, this paper proposes a method based on deep learning for real-time detection of conveyor idler faults.

Using Industrial Mining Solid Waste through Conversion to Phase-Change Materials for Thermal Energy Storage.

The mining industry produces a large amount of industrial solid waste every year. Among them, fly ash (FA), slag and tailings are the three main solid wastes, which can cause soil pollution, air pollution, water pollution and serious threat to human health if not handled properly. At present, the treatment methods of industrial solid waste mainly include direct landfill, recovery of high-value components, production of construction materials, etc.

From Radioactive Effluent to Drinking Water: Efficient Removal of Trace TcO /ReO by Cationic Porous Aromatic Framework.

Efficient removal of TcO from radioactive effluents while recovering drinking water remains a challenge. Herein, an excellent ReO (a nonradioactive surrogate of TcO ) scavenger is presented through covalently bonding imidazolium poly(ionic liquids) polymers with an ionic porous aromatic framework (iPAF), namely iPAF-P67, following an adsorption-site density-addition strategy. It shows rapid sorption kinetics, high uptake capacity, and exceptional selectivity toward ReO .

Synergistic effects of clays and cyanobacteria on the accumulation dynamics of soil organic carbon in artificial biocrusts.

Biocrusts are the primary organic carbon reservoirs in desert areas, in which inorganic clays potentially playing significant roles; however, the specific details of these roles remain largely unclear. In this study, typical 1:1 type (kaolin) and 2:1 type (montmorillonite, MMT) clay minerals were added to artificial biocrusts to investigate their effect on the acquisition performance of soil organic carbon (SOC). After 84 days of cultivation, the enhancement effects of kaolin and MMT were significant, resulting in SOC increments that were 5.

The Impact of Linguistic Signals on Cognitive Change in Support Seekers in Online Mental Health Communities: Text Analysis and Empirical Study.

Background: In online mental health communities, the interactions among members can significantly reduce their psychological distress and enhance their mental well-being. The overall quality of support from others varies due to differences in people's capacities to help others. This results in some support seekers' needs being met, while others remain unresolved.

Machine learning approach to student performance prediction of online learning.

Student performance is crucial for addressing learning process problems and is also an important factor in measuring learning outcomes. The ability to improve educational systems using data knowledge has driven the development of the field of educational data mining research. Here, this paper proposes a machine learning method for the prediction of student performance based on online learning.

Creation of Piezoelectricity in Quadruple Perovskite Oxides by Harnessing Cation Defects and Their Application in Piezo-Photocatalysis.

Quadruple perovskite oxides have received extensive attention in electronics and catalysis, owing to their cation-ordering structure and intriguing physical properties. However, their repertoires still remain limited. In particular, piezoelectricity from quadruple perovskites has been rarely reported due to the frustrated symmetry-breaking transition in A-site-ordered perovskite structures, disabling their piezoelectric applications.

Dynamic Methane Emissions from China's Fossil-Fuel and Food Systems: Socioeconomic Drivers and Policy Optimization Strategies.

In response to the 2023 "Action Plan for Methane Emission Control" in China, which mandates precise methane (CH) emission accounting, we developed a dynamic model to estimate CH emissions from fossil-fuel and food systems in China for the period 1990-2020. We also analyzed their socioeconomic drivers through the Logarithmic Mean Divisia Index (LMDI) model. Our analysis revealed an accelerated emission increase (850.

Facile Ester-based Phase Change Materials Synthesis for Enhanced Energy Storage Toward Battery Thermal Management.

With the increasing demand for thermal management, phase change materials (PCMs) have garnered widespread attention due to their unique advantages in energy storage and temperature regulation. However, traditional PCMs present challenges in modification, with commonly used physical methods facing stability and compatibility issues. This study introduces a simple and effective chemical method by synthesizing seven ester-based PCMs through chemical reactions involving lauric acid (LA) and seven different alcohols.

A comparative evaluation of rehabilitation approaches for ecological recovery in arid limestone mine sites.

Limestone mining in arid regions, particularly within fragile environments, leads to severe environmental pollution and ecological degradation. Developing a scientifically sound and effective ecological rehabilitation strategy is therefore critical. This study constructed a three-dimensional ecological rehabilitation model integrating soil amelioration and vegetation reconstruction.

New Insights into the Pathogenesis of Alcoholic Liver Disease Based on Global Research.

Background And Aims: Alcoholic liver disease (ALD) is the leading cause of death among alcohol-related diseases, yet its pathogenesis remains incompletely understood. This article employs data mining methods to conduct an indepth study of articles on ALD published in the past three decades, aiming to elucidate the pathogenesis of ALD.

Methods: Firstly, articles related to the pathogenesis of ALD were retrieved from the Web of Science (WOS) database.

Investigating slope stability of multiple stopes prone to instability in the Ziluoyi iron ore mining site.

The ore mining sites commonly experience slope instability, which is causing concern for the workers' safety and the operation's stability. Considering the Ziluoyi iron ore mining site as a case study, uniaxial compression strength and shear tests are performed on the lower disk peripheral rock, ore body, and upper disk peripheral rock, leading to the extraction of compressive strength and elastic modulus (lower disk: 77.7 MPa-9.

Analysis of mechanical properties and energy evolution mechanism of frozen calcareous clay under multi-factor interaction.

Research investigating the complex mechanical properties and energy evolution mechanisms of frozen calcareous clay under the influence of multiple factors is crucial for optimizing the artificial ground freezing method in shaft sinking, thereby enhancing construction quality and safety. In this study, a four-factor, four-level orthogonal test was devised, taking into account temperature, confining pressure, dry density, and water content. The complex nonlinear curvilinear relationship between deviatoric stress, volume strain, and axial strain of frozen calcareous clay under different interaction levels was analyzed.

A hydrothermal coupling model for permafrost subgrade considering temperature gradient and its application.

The thermodynamic properties of frozen soil depend on its temperature state and ice content. Additionally, the permeability coefficient significantly affects both the temperature distribution and water movement. In this study, the dynamic variation of soil permeability coefficient with temperature is considered, the permeability coefficient is defined as a piecewise function with temperature as independent variable, and the hydrothermal coupling equation is established.

Hierarchical graph-based integration network for propaganda detection in textual news articles on social media.

During the Covid-19 pandemic, the widespread use of social media platforms has facilitated the dissemination of information, fake news, and propaganda, serving as a vital source of self-reported symptoms related to Covid-19. Existing graph-based models, such as Graph Neural Networks (GNNs), have achieved notable success in Natural Language Processing (NLP). However, utilizing GNN-based models for propaganda detection remains challenging because of the challenges related to mining distinct word interactions and storing nonconsecutive and broad contextual data.

Development and effectiveness analysis of a safety management model for SMEs integrating lean management innovation with SQCDP framework.

This study organically integrates the safety, quality, cost, delivery, and people (SQCDP) management mode and lean management to create the SQCDP + lean safety management (SLSM) mode, which addresses certain problems faced by China's small- and medium-sized enterprises (SMEs), such as imperfect safety management systems, poor regulatory implementation, challenging problem correction, and perfunctory management. It then explains the benefits proposed mode for SMEs and the establishment of a novel mode that aligns with the current safety production and operation management of SMEs. The application of the SLSM mode to a private machinery manufacturing company in Wenzhou resulted in the effective shouldering of safety responsibilities by the company, a year-on-year decrease in accident rates, and a significant increase in production efficiency, thereby providing corporate managers with guidance and suggestions for making improvements.

Molecular structure characteristic of coals of different rank.

Context: Understanding the structural characteristics of coal at the molecular level is fundamental for its effective utilization. To explore the molecular structure characteristic, the long-flame coal from Daliuta (DLT), coking coal from Yaoqiao (YQ), and anthracite from Taixi (TX) were investigated using various techniques such as elemental analysis, Fourier transform infrared spectroscopy, solid-state C nuclear magnetic resonance spectroscopy, and X-ray photoelectron spectroscopy. Based on the structural parameters, the coal molecular model was constructed and optimized.

Denoising of ceramic detection signals based on the combination of variational modal decomposition optimized by improved secretary bird optimization algorithm and wavelet thresholding.

In response to the problem of noise interference in the knock detection signal received by the pickup in the ceramic sheet knock non-destructive testing, a noise removal method is proposed based on the improved secretary bird optimization algorithm (ISBOA) optimized variational mode decomposition (VMD) combined with wavelet thresholding. First, the secretary bird optimization algorithm is improved by using the Newton-Raphson search rule and smooth exploitation variation strategy. Second, the ISBOA is used to select the key parameters in the VMD.

Citronellol Induces Apoptosis via Differential Regulation of Caspase-3, NF-κB, and JAK2 Signaling Pathways in Glioblastoma Cell Line.

Citronellol (CT) is a naturally occurring lipophilic monoterpenoid which has shown anticancer effects in numerous cancerous cell lines. This study was, therefore, designed to examine CT's potential as an anticancer agent against glioblastoma (GBM). Network pharmacology analysis was employed to identify potential anticancer targets of CT.

Unveiling unexpected adverse events: post-marketing safety surveillance of gilteritinib and midostaurin from the FDA Adverse Event Reporting database.

Background: Gilteritinib and midostaurin are FLT3 inhibitors that have made significant progress in the treatment of acute myeloid leukemia. However, their real-world safety profile in a large sample population is incomplete.

Objectives: We aimed to provide a pharmacovigilance study of the adverse events (AEs) associated with gilteritinib and midostaurin through the Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) database.

Prob-sparse self-attention extraction of time-aligned dynamic functional connectivity for ASD diagnosis.

Dynamic functional connectivity (DFC) has shown promise in the diagnosis of Autism Spectrum Disorder (ASD). However, extracting highly discriminative information from the complex DFC matrix remains a challenging task. In this paper, we propose an ASD classification framework PSA-FCN which is based on time-aligned DFC and Prob-Sparse Self-Attention to address this problem.

Prevalence and Risk Factors of Lower Extremity Musculoskeletal Disorders Among Occupational Groups in Key Industries - China, 2018-2023.

What Is Already Known About This Topic?: Lower extremity musculoskeletal diseases (LE-MSDs) have emerged as a significant contributor to the global disease economic burden and worker absenteeism, becoming a global public health concern. However, the epidemic characteristics of LE-MSDs among occupational populations in China are unknown.

What Is Added By This Report?: This report finds that the LE-MSDs prevalence rate among key occupational groups in China is 17.