Progress and Perspective on Heterogeneous Catalysis of Liquid Formic Acid Dehydrogenation: Coordination Structure Design, Activity Improvement, and Mechanism Insights.

Formic acid (FA) has attracted significant interest as a renewable liquid-phase hydrogen carrier. Hydrogen generation from FA decomposition is essential for the development of hydrogen economy. Designing highly efficient catalysts with different coordination environments for FA dehydrogenation is crucial for fuel-cell applications.

Effect of the DPP4 Inhibitor Sitagliptin on Ferroptosis in Epilepsy.

Background: Epilepsy, a significant neurological condition marked by the occurrence of repeated seizures, continues to pose a substantial health challenge. Previous studies have indicated that Dipeptidyl Peptidase-4 (DPP4) inhibitors may possess antiepileptic properties. Ferroptosis, a newly discovered type of programmed cell death, has recently surfaced as a promising therapeutic target in the management of epilepsy.

Rational Design of Purely Inorganic Self-Healing Colloidal Hydrogels To Enable "Green" 3D Printing of Bioglass-Based Bone Substitutes.

3D printing of ceramics or glass typically requires sacrificial organic plasticizers and high-temperature sintering, which is time- and cost-consuming, potentially cytotoxic, and may compromise the bioactivity and functionality of the inorganic components. We herein developed purely inorganic self-healing colloidal gels, consisting of electrostatically attractive silica-based hard nanospheres, to enable 3D printing of highly strong inorganic constructs via additive-free and low temperature sintering (LTS) processing. Through cross-scale analysis of the structural and mechanical features, we quantitatively described the constitutive relationship of attractive colloidal gels based on the integration of colloidal assembly theory with experimental characterizations.

Thermokinetic Characteristics of Coal by Multi Kinetics Methods and TG-MS and TG-DSC-FTIR: A Case of the Dananhu Second Mine of Xinjiang.

In response to the spontaneous combustion hazards occurring during the mining of multiple coal seams at the Dananhu second mine in Xinjiang, this study aims to enhance the understanding of the combustion mechanism in this open-pit mining. Utilizing thermogravimetric analysis (TG) coupled with mass spectrometry (MS) and simultaneous thermal analysis involving thermogravimetry (TG), differential scanning calorimetry (DSC), and Fourier-transform infrared spectroscopy (FTIR), key parameters such as mass variation, gaseous products, and functional groups during the coal combustion process were systematically obtained. The self-ignition propensity classification for the various coal seams was determined to be at Level I, indicating a high susceptibility to spontaneous combustion.

Continental maize mapping and distribution in Africa by integrating radar and optical imagery.

High-resolution, accurate mapping of crops is critical to enhance food security, resource efficiency, and policy effectiveness in agriculture across Africa, where maize remains a crucial staple crop. However, mosaic landscapes, common cloud cover, and scarce ground information have hindered large-area and field-level maize monitoring. This study presents a novel continent-wide framework for mapping maize cultivation across Africa for the 2023-2024 growing season at 10-m resolution using multi-temporal and multi-sensor remote sensing data.

High entropy metal organic framework nanozyme with cocktail effect for efficient extraction and colorimetric detection of tetracycline in food and water environment.

Widespread misuse of tetracycline antibiotics (TCs) poses a serious risk to ecological stability and public health, and advanced methods are needed for monitoring of TCs in food and water environments. Here, a high entropy metal organic framework (HE-MOF) was constructed for simultaneous TC extraction and visual detection. The multimetallic-coordinated HE-MOF featured a unique microporous architecture and high surface area, providing abundant binding sites for TC.

Silencing of UPK1A reduces the Escherichia coli-induced HIF-1α glycolytic pathway in colorectal adenocarcinoma.

Colorectal adenocarcinoma (COAD) poses a serious threat to the life of the patient. Notably, Uroplakin 1 A (UPK1A) is a prognostic biomarker for a variety of tumors. However, the role played by UPK1A in the occurrence and development of COAD and its associated molecular mechanisms still lacks a clear and in-depth understanding.

Identification of risk factors for coal mine accidents based on text mining and social network analysis.

In response to the coal mining industry's high-risk nature and limitations of traditional accident analysis, this study constructs a multi-factor coupling analysis framework using 481 accident reports. Parsing unstructured text reveals 'core-periphery' structural characteristics in accident causation systems. Key contributions of the study are as follows: methodologically, it employs text mining to automate factor extraction and integrates social network analysis (SNA) to quantify node centrality and transmission intensity; theoretically, 18 core causations (e.

Computational Fluid Dynamics (CFD) interpretation of backfill pipeline system damage caused by paste-like slurry in water hammers.

Paste-like slurry which made up of gangue particles and fly ash consolidated in the goaf could effectively reduce surface subsidence and improve resource recovery. The technology relies on efficient transport. However, there are many pipeline explosion accidents caused by water hammer due to rapid valve closure.

Study on the Influence of Deformation and Temperature on the Properties of High-Strength Tungsten Alloy Wire.

In this paper, high-strength W-1%LaO alloy wire was obtained by solid-state doping using tungsten powder and lanthanum oxide, large deformation rotary forging and wire drawing, which solved the disadvantages of traditional tungsten alloy wire processing such as the uneven distribution of rare earth oxides. The effects of rotary forging and annealing on the microstructure and properties of tungsten alloy were studied, which provided some basis for preparing high-strength tungsten alloy wire. The results indicate that tungsten alloy undergoes recovery at relative high temperatures (1480-1380 °C) during the rotary forging process.

[Differential analysis of biogas production in simulated experiments of aquitard layers in coal seam fire zones].

To explore the differences in biological gas production in the waterlogged zone of a coal seam fire-affected area, in this study the gas production experiment was conducted with the mine water from aquitard layers in coal seam fire zones in Xinjiang. The results showed that the biogas production first increased and then decreased with the increase in distance, and the highest gas production reached 216.55 mL.

The electromagnetic characteristics analysis and the control of a new axial flux permanent magnet machine with a double-PCB stator.

To enhance the load capacity of the axial flux permanent magnet motor (AFPMM), a new AFPMM with a double-printed circuit board (PCB) stator is proposed and analyzed. Based on its theoretical model and three-dimensional finite element analysis model, the magnetic field and torque characteristics are discussed. The structural parameters of the motor are analyzed and optimized by Taguchi's method to obtain higher torque and lower torque ripple.

Characterization of electrical properties of dynamic behavior of a V-shaped linear ultrasonic motor.

In this paper, an equivalent circuit model of a V-shaped linear ultrasonic motor is developed, considering the contact characteristics between the stator and the slider, as well as the piezoelectric coupling characteristics of the ultrasonic motor. The relationship between the mechanical parameters and the electrical parameters during the operation of the motor is studied. The admittance circle of the stator is obtained through experimental methods, and the relationship between the admittance circle and the electrical parameters of the equivalent circuit model of the stator is studied and analyzed.

Spatiotemporal dynamics of ecological quality and its drivers in Shanxi Province and its planned mining areas.

As a major coal-producing province, understanding the spatiotemporal evolution of ecological quality and its driving factors in Shanxi is essential for promoting environmental protection and sustainable development. This study employs MODIS data to calculate the Remote Sensing Ecological Index (RSEI) for Shanxi Province and its designated mining areas from 2000 to 2023, aiming to investigate the spatial and temporal dynamics of ecological quality. The CatBoost model and Geographically Weighted Regression (GWR) are applied to identify and analyze the underlying driving factors.

In-situ synthesis of interfacial In-O-Mn lewis acid-base pairs for low-temperature photothermal CO hydrogenation to methanol.

CO hydrogenation into methanol suffers from a huge obstacle of low methanol yield due to the leverage effect of CO conversion and methanol selectivity. Here, we report an InO-MnCO catalyst consisting of InO covalently linked to MnCO for efficiently photothermal CO hydrogenation into methanol. Covalent linkage, the O atoms of InO occupy the oxygen vacancies of MnCO, enables the formation of In-O-Mn Lewis acid-base pairs at the InO-MnCO interface.

Ceramsite catalyst derived from printed circuit board sludge for catalytic ozonation treatment of coking wastewater: Performance and mechanism.

Printed circuit board sludge (PCBS), rich in high-concentration heavy metals, poses an environmental threat but also represents a potential metal resource. To address the rising need for advanced coking wastewater treatment, this study innovatively used PCBS and coal gangue to synthesize a low-cost ceramsite catalyst (CSC) via high-temperature sintering, applying it in a heterogeneous catalytic ozonation system. By optimizing material ratios and process parameters, and using techniques such as CSC characterization and Density Functional Theory calculations, the catalytic performance and reaction mechanism of CSC were systematically investigated.

BiSeNeXt: a yam leaf and disease segmentation method based on an improved BiSeNetV2 in complex scenes.

Introduction: Yam is an important medicinal and edible crop, but its quality and yield are greatly affected by leaf diseases. Currently, research on yam leaf disease segmentation remains unexplored. Challenges like leaf overlapping, uneven lighting and irregular disease spots in complex environments limit segmentation accuracy.

Influence of SiO nanoparticles grafted with surfactant on coal wetting properties and microscopic mechanism of action.

Context: In coal mine spray dust suppression, conventional studies on individual surfactants or surfactant mixtures often fail to achieve optimal coal wettability enhancement. This study innovatively introduces SiO₂ nanoparticles and demonstrates through simulations that the nanoparticle-surfactant composite system substantially enhances coal wettability. Electrostatic potential analysis indicates that the modified nanoparticle molecules formed by surfactant-grafted nanoparticles are more likely to form stable structures with coal molecules, enabling the nanoparticles to be better fixed on the coal molecules and establish a stable adsorption configuration.

Study on the pore structure evolution and microscopic seepage characteristics of coal under high pressure air blasting.

The pore structure in coal seams has a significant impact on the occurrence and migration characteristics of coalbed methane. The High Pressure Air Blasting (HPAB) is one of the main feasible technologies to improve the efficiency of unconventional gas extraction. Currently, there is little research on the visualization of the evolution of pore structure and seepage characteristics in coal under HPAB, resulting in unclear understanding of the formation of 3D pore network structure in coal under HPAB, the interconnection of pores and fissures, and the mechanism of gas seepage and diffusion under HPAB.

Dynamics of vegetation response patterns to drought and its driving factors across China's Loess Plateau.

Drought significantly affects terrestrial vegetation. Although several studies have explored vegetation response patterns to drought (VRPD), the dynamics and underlying driving factors remain unclear. This study examined the dynamics of VRPD using long-term gross primary productivity (GPP) data and multi-scale standardized precipitation evapotranspiration index (SPEI) across China's Loess Plateau (CLP).

XGBoost-based machine learning model combining clinical and ultrasound data for personalized prediction of thyroid nodule malignancy.

Purpose: Thyroid ultrasound is a primary tool for screening thyroid nodules (TNs), but existing risk stratification systems have limitations. Nowadays, machine learning (ML) offers advanced capabilities to handle high-dimensional data and complex patterns. This study aimed to develop an ML model integrating clinical data and ultrasound features to improve personalized prediction of TN malignancy.

Determination method of rational position for working face entries in coordinated mining of section coal pillars and lower sub-layer.

For the study of the layout of the roadway in the coal pillar and floor strata co-mining working face at the Zhaogu No.2 mine, a mechanical model of the segmental coal pillar within the working face was established through theoretical calculations. The analysis considered the stress state of the coal pillar area under different collapse conditions in the goaf after upper strata mining.

MEGDTA: multi-modal drug-target affinity prediction based on protein three-dimensional structure and ensemble graph neural network.

Background: Drug development is a time-consuming and costly endeavor, and utilizing computer-aided methods to predict drug-target affinity (DTA) can significantly accelerate this process. The key to accurate DTA prediction lies in selecting appropriate computational models to effectively extract features from drug molecular structures and target protein structures. Existing methods usually ignore the features of the protein three-dimensional structure.

Significance of Determining the Extraction Radius for Mine Safety and Efficient Resource Development.

Coalbed methane (CBM) extraction plays a dual role in ensuring the safety of coal mines and enriching clean energy resources. The extraction radius of CBM boreholes is influenced by multiple factors, but the interactions of the factors and their relationships with the extraction radius remain unclear. Therefore, the effective extraction radius under varying factors was simulated using COMSOL, and the major factors were determined through sensitivity analysis and response surface methodology.