Selective Catalysis-Mediated Interface to Stabilize Antimony Atom-Cluster Anode for Robust Potassium-Ion Batteries.

Controlling the electrode-electrolyte interfacial behavior is crucial for achieving a high-quality solid electrolyte interphase (SEI) and ensuring sustainable battery performance. Here, we propose a selective catalysis strategy to stabilize antimony atom-cluster (Sb) anode/electrolyte interface for robust potassium-ion batteries (PIBs). Specifically, the electrode featuring Sb in porous carbon (Sb/PC) as "electrocatalyst" unduly catalyzes the reduction of the dimethyl ether-based electrolyte, resulting in loose SEI layer and rapid capacity decay.

Incorporation of Cu within the ligand cavities of porphyrin-based MOFs for enhanced nonlinear optical performance.

Metal-organic frameworks (MOFs) constructed with porphyrins as organic ligands have attracted considerable attention due to their excellent nonlinear optical (NLO) properties. Developing innovative synthetic strategies and structural designs to improve the NLO response of porphyrin-based MOFs has become a prominent research area. In this paper, HTCPP MOF and CuTCPP MOF were synthesized by hydrothermal method with Co as metal node, and HTCPP and CuTCPP as ligands, respectively.

Study on the impact of stress effects on gas extraction in thick inclined coal seam caving faces.

In order to study the development of overburden fractures and the distribution characteristics of the “three zones” in extra-thick coal seams, a rota-table physical similarity simulation test platform was used to analyze the deformation and failure characteristics of overburden during the mining of extra-thick coal seams. The displacement patterns of key layers were measured under different excavation distances. A statistical analysis of the overburden fracture distribution was conducted, revealing the evolution characteristics of fracture development in the overburden with increasing advancing distance.

A Style Transfer-Based Fast Image Quality Assessment Method for Image Sensors.

Accurate image quality evaluation is essential for optimizing sensor performance and enhancing the fidelity of visual data. The concept of "image style" encompasses the overall visual characteristics of an image, including elements such as colors, textures, shapes, lines, strokes, and other visual components. In this paper, we propose a novel full-reference image quality assessment (FR-IQA) method that leverages the principles of style transfer, which we call style- and content-based IQA (SCIQA).

Deep Ensemble Learning Based on Multi-Form Fusion in Gearbox Fault Recognition.

Considering the problems of having insufficient fault identification from single information sources in actual industrial environments, and different information sensitivity in multi-information source data, and different sensitivity of artificial feature extraction, which can lead to difficulties of effective fusion of equipment information, insufficient state representation ability, low fault identification accuracy, and poor robustness, a multi-information fusion fault identification network model based on deep ensemble learning is proposed. The network is composed of multiple sub-feature extraction units and feature fusion units. Firstly, the fault feature mapping information of each information source is extracted and stored in different sub-models, and then, the features of each sub-model are fused by the feature fusion unit.

Geographical association of heavy metal exposure and semen quality: A national multi-center study.

Background: Assessing the adverse effects of geographical heavy metal mixture exposure on human semen quality is challenging. Our study aims to quantify the impact of these heavy metals on semen quality under both individual and combined exposures.

Methods: We recruited 32,072 reproductive-age men from ten human sperm banks across 31 provinces in China during the period from 2019 to 2022.

Dual-Site Modulation of Mg Desolvation Beyond the Primary Solvation Shell in Magnesium Battery Electrolytes.

High overpotential and instability of Mg anode reactions limit the development of halide-free Mg battery electrolytes. Here, we report 7-aminoindole (7AID), a predominantly noncoordinating additive that modulates solvation via CH-π and hydrogen-bonding interactions with both Mg-bound and free ether solvents. These outer-shell and bulk-phase interactions weaken Mg···solvent binding, enhance solvent mobility, and lower the desolvation barrier.

The dual role of nicotine in the development and progression of hepatocellular carcinoma.

Nicotine is a significant regulator of cellular signaling pathways in the development of hepatocellular carcinoma (HCC). Also, it can activate intracellular signaling pathways leading to apoptosis in HCC. However, a comprehensive overview exploring the mechanisms linking HCC and nicotine is currently lacking.

Machine learning based on pangenome-wide association studies reveals the impact of host source on the zoonotic potential of closely related bacterial pathogens.

Variations in host species significantly impact bacterial growth traits and antibiotic resistance, making it essential to consider host origin when evaluating the zoonotic potential of pathogens. This study focuses on multiple Brucella species, which share highly similar genetic material, to explore the relationship between host origin and zoonotic potential by integrating pan-genome-wide association studies (pan-GWAS) with machine learning (ML). Our results present an open pangenome of Brucella spp.

In situ scanning testing system based on Raman spectroscopy.

Accurate characterization of localized material regions is a fundamental requirement for advancing materials science and nanotechnology. In situ observation techniques are important for gaining mechanistic insights into material behavior and optimizing structural design. However, the reliability of characterization outcomes can be substantially compromised by unstable scanning systems.

Metal-Organic Framework-Remodeled Gut Microbiota Alleviates Colonic Inflammation via Selective Modulation of .

Inflammatory bowel disease (IBD) is marked by severe colonic inflammation and oxidative stress-induced tissue damage, often accompanied by gut microbiota dysbiosis. Probiotics have recently been recognized as promising therapeutic agents for IBD. Herein, we examined the modulatory effects of orally administered metal-organic framework (MOF) nanozyme MOF-818 on gut microbiota in a mouse model of IBD.

Research on the Resistance and Flame Retardant Performance of Flame Arresters in Low-Concentration Coalbed Methane Pipelines.

In order to ensure the safety of the coalbed methane pump station and the underground coalbed methane extraction system, the low-concentration coalbed methane transmission pipeline needs to be installed with fire arresters. The traditional fire arrester design is not standardized, the reliability of the fire prevention effect is low, and the resistance is large. Based on the theory of flame quenching, through numerical simulation and experimental methods, this paper studies the structure of fire arresters suitable for the safety assurance system of low-concentration coalbed methane transportation, so as to provide safety assurance for the raw gas transmission of low-concentration coalbed methane utilization devices.

Initial Characteristics of Gas Desorption in High-Rank Soft and Hard Coals and the Causes of the Differences.

To study the initial characteristics of gas desorption in high-rank soft and hard coals, a purpose-built constant-temperature gas desorption device was used to conduct gas desorption experiments on three groups of collected high-rank soft and hard coal samples. The results show that the gas desorption index ( ) of drill cuttings from soft and hard coals follows a power function relationship with the adsorption equilibrium pressure. Under the same adsorption equilibrium pressure, the gas desorption index ( ) of drill cuttings from soft coal is 1.

The Mo-14Re alloy, a promising candidate material for bioresorbable vascular scaffolds.

Zinc‑, iron‑, and magnesium‑based biodegradable metals suffer inherent limitations as bioresorbable scaffold materials, including inappropriate degradation rates and insufficient mechanical strength. Pure molybdenum (Mo) has been proposed as an alternative, but its clinical application is hampered by brittleness and potential nephrotoxicity. A Mo alloy was engineered to address these challenges.

Two-Dimensional Metals Over, Inside, or Beneath Templates.

Two-dimensional (2D) metals have drawn great attention because of their extraordinary properties, especially in applications that favor van der Waals interaction. The development of advanced characterization tools has facilitated the understanding of formation or growth mechanisms of 2D metals. In this perspective, we discuss 5 common approaches to obtaining 2D metals, including, (top down) van der Waals squeezing and selective extraction, and (bottom up) electron beam-induced growth, self-assembly, and graphene-templated wet chemistry growth.

DPRM: DeBERTa-based potential relationship multi-headed self-attention joint extraction model.

Traditional entity-relationship joint extraction models are typically designed to address generic domain data, which limits their effectiveness when applied to domain-specific applications such as manufacturing. This study presents the DeBERTa-based Potential Relationship Multi-Headed Self-Attention Joint Extraction Model (DPRM), which has been specifically designed to enhance the accuracy and efficiency of entity-relationship extraction in manufacturing knowledge graphs. The model is comprised of three core components: a semantic representation module, a relationship extraction and entity recognition module, and a global entity pairing module.

Engineering nitrogen and oxygen functionalities in naturally sourced activated carbon for multicomponent gas adsorption.

Nitrogen doping is a widely adopted strategy to enhance the gas adsorption performance of activated carbon (AC) adsorbents. However, the simultaneous evolution of oxygen and nitrogen functional groups-especially in carbon precursors with high oxygen content-has received limited attention. In this study, coal-derived ACs with high surface areas (up to 940 m/g) and micropore volumes (0.

Experimental Study on the Preparation of Paste Filling Materials from Coal-Based Solid Wastes.

To reduce the cost of coal mine filling materials, a novel composite cementitious material was developed by utilizing coal-based solid waste materials, including fly ash, desulfurized gypsum, and carbide slag, along with cement and water as raw materials. Initially, a comprehensive analysis of the physical and chemical properties of each raw material was conducted. Subsequently, proportioning tests were systematically carried out using the single-variable method.

Comprehensive evaluation of extraction process, physicochemical properties and bioactivities of hawk tea polysaccharides: comparison of ultrasonic and hot water extraction.

Hawk tea (HT) is a long-established substitute tea, rich in polysaccharides and other biologically active ingredients, with research value in food science and medicine. Therefore, this study, utilized ultrasonic extraction (UAE) to extract HT polysaccharides (UHTP). The disparities in extraction yield, energy consumption, and HT structure between UAE and hot water extraction (HWE) were contrasted to elucidate the extraction mechanism.

Effect of 3D Printing Parameters on the Transparency of Medical Hydrogels for Corneal Stroma Fabrication.

Medical hydrogels represent a promising solution for the treatment of corneal diseases and trauma, offering potential to address the shortage of donor corneas. To meet the functional requirements of artificial corneas in tissue engineering, it is crucial to fabricate biomimetic structures with high optical transparency using 3D printing techniques. As fiber alignment during the printing process has a pronounced impact on light transmittance, precise control of the printing parameters is essential.

GR5 DNAzyme and difunctional carbon dots-encapsulated zeolitic imidazolate framework for ratiometric fluorescence detection of Pb(II) in fish and water.

Accurate and rapid detection of lead ions in food and environment is urgently needed for human health. Herein, we have developed a ratiometric fluorescence system grounded in GR5 DNAzyme and carbon dots-embedded ZIF-8 nanocomposite (CDs@ZIF-8) to achieve the self-calibration detection of lead ions (Pb). GR5 DNAzyme, which acts as a molecular recognition element, is adsorbed onto the surface belonging to CDs@ZIF-8.

Comparison and analysis of drilling gas flow based on continuous and dual media.

The mathematical models of drilling gas flow based on the continuous medium and pore-fracture dual media were established according to the law of mass conservation, aiming to derive a gas flow model in coal that better reflects field conditions. The physical model was then simplified, the computational grid and nodes were defined, and the finite difference method was employed for model discretization. Subsequently, VB programming was used to perform numerical calculations.

Optimization of energy-efficient multi-pollutant air purification for healthy residential buildings.

High-level exposure to indoor air pollutants (IAPs) poses significant health risks. Using air purifiers can effectively reduce exposure to IAPs, but it also leads to increased energy consumption. To investigate a multi-objective optimization strategy, this study developed a dynamic control model for multi-pollutant concentrations.

A weakly-supervised oriented object detector : Knowledge-based dropblock and unified regression network.

Object detection in remote sensing images (RSIs) is facilitated by oriented bounding boxes, yet rotated boxes (RBoxes) are typically more labor-intensive than horizontal boxes (HBoxes). Consequently, there is a tendency in most research to explore HBox-based weakly-supervised detectors with self-supervised constraints on spatial transformations. However, such weakly-supervised networks for HBoxes tend to focus on the most discriminative parts of objects, which can adversely affect the network's location accuracy.

Insights into the effect of sertraline on anaerobic digestion: Stimulating CH and CO production.

Pharmaceuticals, particularly antidepressants, are emerging contaminants with potential far-reaching environmental impacts. However, their effect on anaerobic digestion and subsequent CH and CO production remains largely unexplored. This study revealed that sertraline, ranked among the top antidepressants, unexpectedly stimulated the of CH and CO production by 24.