Stable RuIr Nanoalloy Catalyst for Levulinic Acid Hydrogenation Reaction.

Hydrogenation of levulinic acid (LA) represents a significant approach for producing the high-value biomass-based platform compound γ-valerolactone (GVL). In this study, an efficient RuIr alloy bimetallic catalyst supported on SiC was synthesized and applied for the aqueous hydrogenation of LA into GVL under mild conditions. The RuIr/SiC catalyst exhibited high LA conversion and GVL selectivity (both > 99%) in water at 0.

Lignin-Derived Activated Carbon as Electrode Material for High-Performance Supercapacitor.

Utilizing lignin-derived activated carbon in supercapacitors has emerged as a promising approach to alleviating environmental pollution and promoting the high-value utilization of byproducts in the papermaking industry. In this study, activated carbons (LACs) were prepared using a simple one-step KOH activation approach and by employing enzymatic hydrolysis lignin (EHL). The impact of the KOH activation parameters on the microstructure and capacitive performance of the LACs was investigated by varying the KOH/EHL ratio and activation temperature.

Whole-Genome Resequencing to Identify Selection Signatures Associated with High Fertility in Lüliang Black Goat.

Lüliang black goat (LBG) is a unique livestock genetic resource of great significance for the local agriculture and economic development of Shanxi, China. However, the kidding rate of LBG is relatively low, which limits efforts to improve the reproductive performance and economic benefits of this breed. Therefore, improving the kidding characteristics of LBG is crucial for increasing its economic benefits.

Chinese burden of depressive disorders from 1990 to 2021 and prediction for 2030: analysis of data from the global burden of disease study 2021.

Background: This study aims to examine the temporal changes in the incidence, prevalence, and disability-adjusted life years (DALYs) of depressive disorders as well as its association with age, period, and birth cohort among Chinese from 1990 to 2021, and forecast the future trends of incidence rates and numbers from 2022 to 2030.

Methods: Data for analysis were obtained from the Global Burden of Disease (GBD) 2021. Joinpoint analysis was used to calculate the annual percentage change (APC) and average annual percent change (AAPC) to describe the rates of depressive disorders.

Quantitative evaluation of two-way referral policies based on PMC index model.

Objective: Perfect policy system support is the key to effective work, and policy evaluation can provide theoretical basis for policy revision. This study aims to quantitatively evaluate the two-way referral policy in China and thus improve the policy system of two-way referral.

Methods: This research focuses on 14 two-way referral policies published from 2007 to 2021.

Risk assessment of water inrush from coal floor based on enhanced samples with class distribution.

In the risk assessment of water inrush from coal floors, the amount of measured data obtained through on-site testing is small and random, which limits the prediction accuracy and generalizability of a model based on measured data. Using the distribution characteristics of the measured data and mega-trend diffusion theory, we propose a virtual sample enhancement method based on class distribution mega-trend diffusion technology (CDMTD) and introduce constraints on the class distribution of influencing factors. This method was used to generate virtual samples and enhance the measured database.

Optimizing design and stability of open pit slopes in Tolay coal mine, Ethiopia.

Coal is a critical energy resource for global industries, and its extraction from open-pit mines requires effective slope stability management to ensure safe and efficient operations. This study evaluates the slope stability of the Tolay open-pit coal mine in Ethiopia, located in the Jimma zone, where geological conditions, including basalt, mudstone, and weathered soil layers, influence slope behaviour. The primary objective was to assess slope stability and recommend optimization strategies for safer mining.

YOLO-STOD: an industrial conveyor belt tear detection model based on Yolov5 algorithm.

Real-time detection of conveyor belt tearing is of great significance to ensure mining in the coal industry. The longitudinal tear damage problem of conveyor belts has the characteristics of multi-scale, abundant small targets, and complex interference sources. Therefore, in order to improve the performance of small-size tear damage detection algorithms under complex interference, a visual detection method YOLO-STOD based on deep learning was proposed.

The mechanistical principles and engineering application of roof- cutting for roadway protection in advance of the working face.

In coal mining operations, it is often challenging to control the deformation of the roadway in front of the working face. The excessive stress from the surrounding rock of the working face and the difficulties in caving the goaf roof have led to a prominent factor that hinders safe and efficient production in coal mines. For this reason, a mechanical model of the stress field in the advance roadway of the working face is established, and the stress evolution law of the surrounding rock before and after cutting the roof of the roadway is analyzed.

Insights into the zearalenone degradation performance and pathway by Gordonia hydrophobica HAU421 and characterization of a novel lactonohydrolase involved.

Zearalenone (ZEN) is a harmful macrolide mycotoxin, posing a serious hazard to human health. In this study, a highly efficient ZEN-degrading bacterium Gordonia hydrophobica HAU421 was isolated from soil by using spiramycin (SPM)-containing selective medium. Mass spectrometry analysis revealed that strain HAU421 could transform ZEN into hydrolyzed zearalenone (HZEN), zearalenol (ZEL), and hydrolyzed zearalenol (HZEL).

Characteristics of adverse events and clinical risks of Lecanemab based on FAERS data.

Objective: This study aims to analyze the distribution of adverse events (AEs) related to Lecanemab in real-world settings based on FAERS database data.

Methods: Using the FAERS database, AE data related to Lecanemab was collected from Q3 2023 to Q2 2024. Signal mining was conducted using frequency and Bayesian methods to identify positive signals associated with Lecanemab.

Distribution patterns and community assembly processes of bacterial communities across different sediment habitats of subsidence lakes.

Subsidence lakes, formed due to extensive underground coal mining activities, present both ecological challenges and opportunities for alternative land use practices, such as photovoltaic power generation and aquaculture. However, the ecological consequences of these anthropogenic activities on bacterial communities within subsidence lakes remain largely unexplored. To address this knowledge gap, we conducted a comprehensive investigation of bacterial communities in two typical subsidence lake districts located in Huainan, Anhui Province, China.

Study on the adsorption performance of carbon-magnetic modified sepiolite nanocomposite for Sb(V), Cd(II), Pb(II), and Zn(II): Optimal conditions, mechanisms, and practical applications in mining areas.

A carbon-magnetic modified sepiolite nanocomposite (γ-FeO/SiO-Mg(OH)@BC) was synthesized using a hydrothermal method, consisting of γ-FeO, activated sludge biochar (BC), and alkali-modified sepiolite. Its ability to remove heavy metals such as Sb(V), Pb(II), Cd(II), and Zn(II) was investigated through adsorption experiments. Using response surface optimization, the optimal adsorption conditions were determined: adsorption time = 3.

The Role of Social Integration in Chronic Disease Prevalences Among the Internal Migrant Populations in China: Evidence from a National Survey.

: China has the world's largest internal migrant population, yet chronic disease prevalence among this group remains largely overlooked. The integration of the internal migrant population into the local society may affect their noncommunicable disease prevalences and become a challenge for the public health system. This study aimed to explore the association between the social integration of China's internal migrant population and the prevalences of chronic diseases, including hypertension and diabetes.

Enabling High-Voltage and Long Lifespan Sodium Batteries via Single-Crystal Layer-Structured Oxide Cathode Material.

Manganese-based layer-structured transition metal oxides are considered promising cathode materials for future sodium batteries owing to their high energy density potential and industrial feasibility. The grain-related anisotropy and electrode/electrolyte side reactions, however, constrain their energy density and cycling lifespan, particularly at high voltages. Large-sized single-crystal O3-typed Na[NiMnCuTi]O was thus designed and successfully synthesized toward high-voltage and long-lifespan sodium batteries.

Physicochemical Properties and Bioreactivity of Sub-10 μm Geogenic Particles: Comparison of Volcanic Ash and Desert Dust.

Exposure to ambient particulate matter (PM) with an aerodynamic diameter of <10 μm (PM) is a well-established health hazard. There is increasing evidence that geogenic (Earth-derived) particles can induce adverse biological effects upon inhalation, though there is high variability in particle bioreactivity that is associated with particle source and physicochemical properties. In this study, we investigated physicochemical properties and biological reactivity of volcanic ash from the April 2021 eruption of La Soufrière volcano, St.

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.