Medication Rules of Hub Herb Pairs for Insomnia and Mechanism of Action: Results of Data Mining, Network Pharmacology, and Molecular Docking.

Objectives: To explore the medication rules of traditional Chinese medicine (TCM) and mechanism of action of hub herb pairs for treating insomnia.

Methods: Totally 104 prescriptions were statistically analyzed. The association rule algorithm was applied to mine the hub herb pairs.

Mining functional gene modules by multi-view NMF of phenome-genome association.

Background: Mining functional gene modules from genomic data is an important step to detect gene members of pathways or other relations such as protein-protein interactions. This work explores the plausibility of detecting functional gene modules by factorizing gene-phenotype association matrix from the phenotype ontology data rather than the conventionally used gene expression data. Recently, the hierarchical structure of phenotype ontologies has not been sufficiently utilized in gene clustering while functionally related genes are consistently associated with phenotypes on the same path in phenotype ontologies.

Joint response of surface subsidence and strong mine earthquake under high-positioned and thick-hard strata in deep coal mine.

Multiple active mining faces and extensive excavations under thick-hard strata in deep coal mines result in frequent strong mine earthquakes, often accompanied by significant surface subsidence deformation. Understanding the specific law of surface movement and the spatiotemporal distribution response to intense mine earthquakes is crucial for effectively preventing and mitigating dynamic disasters in deep mines. Utilizing the key layer theory, the intricate strata of the Yingpanhao Coal Mine are systematically delineated, drawing upon the engineering context of working faces 2201 and 2202 within the Ordos Chemical Co.

Research on the optimization of drum structure based on virtual prototyping technology.

Drums are the core working mechanism of the coal mining machine for coal mining. The structural design level of the drum is crucial for mining efficiency and safety production. Traditional design methods not only have long design cycles and high costs, but also limited design capabilities.

Synergistic oxidative modification and covalent cross-linking for the construction of sesbania gum-based high efficiency dust suppression foam sols.

To effectively utilize sesbania gum in coal dust control and address the limitations of excessive viscosity and mediocre strength, oxidation treatment was used to improve its fluidity. Polyvinyl alcohol (PVA) and sodium trimetaphosphite (STMP) were used to enhance oxidized sesbania gum OSG, and crosslinking technology was used to improve its mechanical stability. This study developed a novel foam dust suppressant OSG-PVA/SDBS by response surface design, and the optimized dust suppressant material exhibited excellent adhesion and curing properties.

Kurtosis Assessment of Cardiovascular Disease Risk Caused by Complex Noise in Coal Mines.

Objectives: This study aims to investigate the relationship between noise kurtosis and cardiovascular disease (CVD) risk while exploring the potential of kurtosis assessment in evaluating CVD risk associated with complex noise exposure in coal mines.

Methods: This cross-sectional study started in April 2021 and ended in November 2022. It involved 705 coal miners selected from 1045 participants.

Determination of production capacity for open-pit coal mines under uncertainty: A model based on economies of scale.

The determination of optimal production capacity for open-pit mines is influenced by various economic and technical factors and is highly susceptible to uncertainties. To effectively address the impact of uncertainty on capacity planning, this study develops a production capacity planning model for open-pit coal mines, based on the theory of economies of scale and incorporating multiple uncertainty constraints. A novel method is proposed to quantify and propagate the uncertainties of key capacity control factors, alongside a comprehensive uncertainty analysis framework for total revenue.

Regional Trends and Spatial Gradients of Total Column Methane over India, China, and USA─Implications for Emissions from Coal Mining and Oil/Gas Exploitation.

Observation-based verification of regional/national methane (CH) emission trends is crucial for transparent monitoring and mitigation strategy planning. Although surface observations track the global and sub-hemispheric emission trends well, their sparse spatial coverage limits our ability to assess regional trends. Dense satellite observations complement surface observations, offering a valuable means to validate emission trends, especially in regions where emissions changes are substantial but debated.

Interface Mechanism of Promoting Low-Rank Coal Flotation by Characteristic Groups in Hydrophilic Moieties of Cationic-Anionic Surfactants.

Flotation is an interfacial process involving gas, liquid, and solid phases, where polar ionic promoters significantly influence both gas-liquid and solid-liquid interfaces during low-rank coal (LRC) flotation. This study examines how the structures of hydrophilic groups in cation-anion mixed promoters affect the interfacial flotation performance of LRC pulp using flotation tests, surface tension tests, wetting heat tests, and molecular dynamics simulations. Results indicate that cation-anion mixed promoters enhance the LRC floatability to varying degrees.

Multiparametric MRI for Assessment of the Biological Invasiveness and Prognosis of Pancreatic Ductal Adenocarcinoma in the Era of Artificial Intelligence.

Pancreatic ductal adenocarcinoma (PDAC) is the deadliest malignant tumor, with a grim 5-year overall survival rate of about 12%. As its incidence and mortality rates rise, it is likely to become the second-leading cause of cancer-related death. The radiological assessment determined the stage and management of PDAC.

Recent progress in electrochemical recycling of waste NdFeB magnets.

Neodymium iron boron (NdFeB) magnets are critical components in green energy technologies and have received increasing attention due to the limited availability of the raw materials, specifically rare earth elements (REEs). The supply risks associated with primary mining of RE ores, which have significant environmental impacts, underscore the necessity for recycling RE secondary resources. Waste NdFeB magnets, generated during manufacturing processes and recovered from end-of-life products, represent valuable RE secondary resources.

Policy research on role of traditional medicine in emergency health system construction based on the PMC index model: evidence from China.

Background: The integration of traditional Chinese medicine (TCM) into emergency health systems in China serves as a model for global policy development and refining the inclusion of traditional medicine in health emergencies.

Methods: This study investigated 13 public health emergency policies related to TCM released by the Chinese central government from 2003-2023. A PMC(Policy Modeling Consistency) index model was developed combining ROSTCM text mining analysis software.

An integrative analysis reveals cancer risk associated with artificial sweeteners.

Background: Artificial sweeteners (AS) have been widely utilized in the food, beverage, and pharmaceutical industries for decades. While numerous publications have suggested a potential link between AS and diseases, particularly cancer, controversy still surrounds this issue. This study aims to investigate the association between AS consumption and cancer risk.

Overburden movement law in strip filling mining of upward mining faces.

Strip filling mining significantly improves coal recovery rates and fosters sustainable development in the coal industry. To investigate the overburden movement patterns of strip filling mining, a mine in Tuokexun was selected as the study site. The stability of the composite structure in upward mining faces, as well as the stress distribution and fracture characteristics of the overburden at different stages of strip filling mining, were analyzed using theoretical methods, numerical simulations, and similarity experiments.

Development of a rapid enzymatic quantification method for hyaluronic acid based on the gene-mining of hyaluronate lyase.

Hyaluronic acid (HA), a vital polysaccharide naturally present in human tissues, is widely utilized in the food, pharmaceutical and cosmetic industries due to its diverse functionalities and bioactivity. Rapid and accurate quantification of HA is essential for the quality control of its products. Enzymatic quantification methods, known for their simplicity and high specificity, were employed for polysaccharide measurement.

Metabolic and epigenetic regulation of macrophage polarization in atherosclerosis: Molecular mechanisms and targeted therapies.

Atherosclerosis, a multifactorial progressive inflammatory disease, is the common pathology underlying cardiovascular and cerebrovascular diseases. The macrophage plasticity is involved in the pathogenesis of atherosclerosis. With the advance of metabolomics and epigenetics, metabolites/metabolic and epigenetic modification such as DNA methylation, histone modification and noncoding RNA, play a crucial role in macrophage polarization and the progression of atherosclerosis.

Regional green economies and Bitcoin's electricity consumption: Paving the way for global sustainability.

In the context of global sustainability goals, it is imperative to examine the interplay between emerging financial technologies and environmental objectives, which in turn offers insights into the implications of such technologies on sustainable investments and environmental policy decisions. Accordingly, this study investigates the influence of Bitcoin's energy consumption (BEC), as a representative of the cryptocurrency market, on the regional green economy indices of the United States, Europe, and Asia. Utilizing both unfiltered and filtered data, we conduct empirical analyses from both static and dynamic perspectives to account for the causal relationships that emerged during critical market developments, employing novel algorithms including forward recursive, rolling windows, and recursive rolling.

Using the Forel-Ule index (FUI) to track the water quality of subsidence water bodies across the life cycle of coal mining in eastern China.

The water quality and associated ecological risks in subsidence water bodies formed by underground coal mining are an increasing global concern. However, long-term water quality changes in these subsidence water bodies, especially across different spatial regions, remain poorly understood. This paper, by mapping the Forel-Ule index (FUI) a key indicator of water color, using Landsat datasets to reveal the dynamic evolution of water quality in 402 subsidence water bodies in the Huang-Huai-Hai Plain of eastern China from 1990 to 2020, covering their life cycle from formation to extinction.

PbSO reaction mechanism in oxygen and reduction atmospheres during co-smelting process with primary lead material.

At present, lead-containing wastes have increasingly become the raw materials together with primary lead concentrate for lead production to meet the ever-increasing lead demand market. PbSO is the dominant component in the lead-containing wastes, nevertheless, its reaction behavior during lead smelting is not sufficiently investigated. This study investigated PbSO decomposition behaviors and phase transformation mechanisms at oxidizing and reductive atmospheres and various gas flow rates.

Piezochromic Luminescence of Pyrene Derivatives Polymorphism Around Excimer Forming Process.

Pyrene aggregates, as classic luminescent materials, are of great interest from a scientific viewpoint owing to the development of optoelectronic materials. In this study, we designed a compound 1,4,5-triphenyl-2-(pyren-1-yl)-4,5-dihydro-1H-imidazole (IM-PY) which was achieved with two crystalline polymorphs (IMPY-G and IMPY-B). They exhibit the green emission and the blue emission, respectively, both with pyrene serving as the luminescent core.

Online comments of tourist attractions combining artificial intelligence text mining model and attention mechanism.

This paper intends to solve the limitations of the existing methods to deal with the comments of tourist attractions. With the technical support of Artificial Intelligence (AI), an online comment method of tourist attractions based on text mining model and attention mechanism is proposed. In the process of text mining, the attention mechanism is used to calculate the contribution of each topic to text representation on the topic layer of Latent Dirichlet Allocation (LDA).

The optimal grouting area and cable distribution design for guaranteeing roadway stability while considering fluid mechanical effects via the CMOEAD algorithm.

Water inrush in roadways frequently occurs in coal mines when the rock mass is enriched with underground water. To avoid underground water flow into the roadway and guarantee the stability of the roadway, grouting and cables are commonly used to prevent water inrush and guarantee the stability of the roadway. In this work, FLAC3D (fast lagrangian analysis of continua 3 dimension) numerical simulation software was used, and the fluid‒mechanical coupling effects were considered.

Creep model of bond-degradation in deep granite based on variable radius particle clump.

The creep failure of rocks is related to its microstructure, external loading and time. A nonlinear yield model was introduced to describe the variation in the cohesion and friction angle with plastic strain and intergranular stress. The mechanical properties and creep characteristics of deep granite were obtained by indoor tests, and a variable radius particle clump model was constructed based on the particle flow method.

Mining genomic regions associated with stomatal traits and their candidate genes in bread wheat through genome-wide association study (GWAS).

112 candidate quantitative trait loci (QTLs) and 53 key candidate genes have been identified as associated with stomatal traits in wheat. These include bHLH, MADS-box transcription factors, and mitogen-activated protein kinases (MAPKs). Stomata is a common feature of the leaf surface of plants and serve as vital conduits for the exchange of gases (primarily CO₂ and water vapor) between plants and the external environment.

Real-time monitoring and prediction of remote operator fatigue in plateau deep mining based on dynamic Bayesian networks.

Fatigue can cause human error, which is the main cause of accidents. In this study, the dynamic fatigue recognition of unmanned electric locomotive operators under high-altitude, cold and low oxygen conditions was studied by combining physiological signals and multi-index information. The characteristic data from the physiological signals (ECG, EMG and EM) of 15 driverless electric locomotive operators were tracked and tested continuously in the field for 2 h, and a dynamic fatigue state evaluation model based on a first-order hidden Markov (HMM) dynamic Bayesian network was established.