Understanding the effects of supervisory and coworker safety communication on construction workers' behavior.

On high-risk construction sites, frontline workers are constantly exposed to dual channels of safety communication: supervisory safety communication (SSC) and coworker safety communication (CSC). While existing research has emphasized the general importance of safety communication in promoting safety performance, the differentiated effects and psychological mechanisms of SSC and CSC remain underexplored. To address this gap, this study aims to adopt a Conservation of Resources (COR) theory framework to examine how SSC and CSC influence construction workers' safety behavior (SB) through psychological mechanisms, and how these effects vary under different levels of work pressure (WP).

Comparative Evaluation of Stress Distribution and Permeability Characteristics in Bentonite Cutoff Walls Using CPTU and ABAQUS Methods.

Bentonite materials are extensively used in cutoff walls at landfill sites. This study calculates the stress and permeability characteristics of bentonite materials using the piezocone penetration test (CPTU) and ABAQUS simulations. The lateral effective stress of bentonite materials is evaluated using arching models, lateral squeezing models, and a modified lateral squeezing model.

Comparative assessment of cadmium(II) carrier-effects derived by polyethylene microplastics with heterogeneous sources.

Microplastics (MPs), as wastes derived from various plastic commodities, have distinct heterogeneity in their sources. The overlook of MP sources may decrease the prediction reliability of their carrier-effects and the execution efficiency of their refined control. Hence, this study focuses the influence of source heterogeneity on the Cd(II) carrier-effect of MPs, aiming to improve the insights on Cd(II)-pollution pattern reshaped by MPs.

Study on the influencing factors of ecological spatial grouping optimization in the huangshan region based on entropy weight topsis.

This study evaluates and analyzes the influencing factors of ecological spatial configuration optimization in the Greater Huangshan Region. By identifying and assessing these factors, it aims to reveal the mechanisms underlying ecological space optimization in the area. The findings provide a theoretical foundation for promoting high-quality development and optimizing ecological spatial governance policies in the Greater Huangshan Region.

Automatic identification and quantification of surface nanoscale pore morphology in coals of different ranks based on AFM, SEM and LP-NGA.

The pore structure characteristics of coal are crucial for coalbed methane adsorption and migration, carbon storage, and safety in deep coal mining. Although traditional methods can detect pore volume and distribution, they are limited in analysing pore morphology and surface properties. This study employs multiscale techniques including AFM (Atomic force microscopy), SEM (Scanning electron microscopy), and LP-NGA (Low-Pressure nitrogen gas adsorption) to systematically analyse the impact of coal rank changes on pore structure and its evolutionary process, covering coals from medium-volatile to low-volatile bituminous and anthracite coals.

Green emitting nitrogen-doped carbon dots as a dual recognition platform for sensitive and selective detection of 2,4,6-trinitrotoluene and glucose in wastewater.

Carbon dots (CDs) have been widely employed to fabricate various fluorescent chemosensors owing to their favorable photo-physicochemical properties and versatile surface modification feasibility. However, reports on CDs as a dual recognition platform for sensitive and selective detection of different analytes are very limited. In this study, highly negatively charged green emitting nitrogen-doped CDs were synthesized by a hydrothermal approach using 1,3,6-trinitropyrene and ascorbic acid as precursors, which subsequently self-assembled with positively charged methylviologen (MV) and polyethyleneimine (PEI) to form CDs-MV and CDs-PEI nanocomposites, respectively, by electrostatic interaction and hydrogen bond.

Preparation and Electrochemical Performance of N-Doped HVO/CeVO Composite Films as Stable Cathodes for Aqueous Zinc-Ion Batteries.

Aqueous zinc-ion batteries (AZIBs) have attracted considerable attention due to their low cost, high safety, and environmental friendliness, however, the structural problems triggered by the repeated insertion and extraction of Zn in vanadium-based cathode materials remain a key challenge restricting their development. In this work, N-doped HVO/CeVO composite films were successfully prepared on indium-tin-oxide (ITO) conductive glass by low-temperature liquid-phase deposition combined with an annealing process. X-ray diffraction (XRD), scanning electron microscopy (SEM), high-resolution transmission electron microscopy (HRTEM), and Raman spectroscopy were employed to systematically characterize the differences in crystal structure, morphological evolution, and microscopic properties of the thin-film electrodes at various annealing temperatures.

The distribution of polycyclic aromatic hydrocarbons pollution and the characteristics of microbial diversity in the soil of coal mining areas.

The distribution of polycyclic aromatic hydrocarbons (PAHs) in soil and their impact on soil bacterial communities have garnered significant attention. In this study, we selected the representative Huainan Panji coal mining area as our research site to analyze the diversity of bacterial communities in four distinct zones within the mining area, as well as the relationship between environmental factors and PAHs contamination. A total of 16 PAHs were found to be enriched in the soil, with notably higher concentrations in the coal gangue hill area compared to other regions.

Parameter estimation analysis of the glioblastoma immune model.

In exploring optimal strategies for immunotherapy in glioblastoma (GBM), one of the main challenges is enhancing treatment response. To better understand the dynamics of tumor-immune interactions, one applied Bayesian methods to estimate the parameters of glioblastoma immune model by using experimental data. One compared the effects of using uniform prior distributions versus improved prior distributions, which were adjusted based on posterior information, during parameter estimation.

Piezoelectric-driven self-powered sensor with tunable plasmonic hotspots for enhanced SERS performance.

Electrically Modulated Surface-enhanced Raman spectroscopy (E-SERS) technology can effectively increase Raman signal intensity. Compared with conventional E-SERS, self-powered E-SERS sensors provide an electric field through energy conversion, which reduces the dependence on external power sources and thus facilitates the development of portable real sample detection. Herein, high-performance piezoelectric lead zirconate titanate (PZT) with dopamine-functionalized reduced graphene oxide (rGO@PDA) was embedded into a polyvinylidene fluoride-trifluoroethylene (PVDF-TrFE) matrix, which was innovatively used for E-SERS technology.

Simulated aging processes induced significant changes in redox properties of biochar for chromate reduction.

Biochar, a carbon-rich material, features a well-developed porous structure and abundant oxygen-containing functional groups that collectively facilitate efficient electron transfer. Upon environmental exposure, biochar generally undergoes aging processes like temperature fluctuations, water erosion, and natural oxidation, leading to significant changes in its physical and chemical properties. However, research addressing the impact of aging processes on biochar's redox behavior remain limited.

Antimicrobial microneedles: Advances, mechanisms, and applications in combating bacterial infections.

Bacterial infections pose a significant threat to human health, with antibiotics being the conventional treatment strategy. However, challenges such as rising bacterial resistance and limited drug penetration through the stratum corneum have significantly restricted the efficacy of traditional drug delivery methods. As an innovative transdermal drug delivery system, microneedles (MNs) effectively overcome these limitations.

A light-fueled self-oscillator that senses force.

Light-responsive materials with intrinsic negative feedback enable self-oscillation in non-equilibrium states. Conventional systems rely on self-shadowing in bending modes but fail when shadowing is constrained. Here, we demonstrate that external mechanical forces can bypass this limitation, enabling sustained oscillations without complete shadowing.

DrugBERT: a BERT-based approach integrating LDA topic embedding and efficacy-aware mechanism for predicting anti-tumor drug efficacy.

Background: Due to the complexity of tumor genetic heterogeneity, personalized medicine has progressively emerged as the central focus of cancer research. However, how to accurately predict the drug response of patients before receiving treatment is the critical challenge to the development of this field.

Methods: This paper proposes DrugBERT, a BERT-based framework integrated with LDA topic embedding and a drug efficacy-aware mechanism for predicting the efficacy of antitumor drugs.

Spatiotemporal dynamics of dissolved organic matter in Asia's longest river: Linking isotopes, land use, and anthropogenic impacts.

Large river basins integrate the three major ecosystems of atmosphere, land, and oceans, serving as crucial mediators in the global carbon cycle. Nevertheless, pronounced variations occur in geographic locations, climatic conditions, land-use patterns, and anthropogenic activities across sub-catchments of these large basins. As a result, systematic investigations into the spatial heterogeneity of dissolved organic matter (DOM) composition, abundance, and their driving factors are still lacking.

Systemic and dynamic risk analysis of drilling construction based on bayesian network and system dynamics model.

Drilling construction is a key means to obtain underground resources and information, and construction risk also directly affects the safety, economy and sustainability of engineering projects. Aiming at the limitations of traditional risk assessment methods in the dynamic and systematic aspects, this paper proposes a comprehensive analysis method combining Bayesian network (BN) and system dynamics (SD). First, through expert interviews and field investigations, an evaluation system consisting of 5 dimensions and 20 indicators was established, and the combination of entropy weight method and expert score was used to empower the system.

Rapid Charge Extraction via Hole and Electron Transfer Layers on CuO Photocathode for Stable and Efficient Photoelectrochemical Water Reduction.

Photoelectrochemical (PEC) water reduction offers a promising method for generating "green" hydrogen. The hydrogen evolution reaction (HER) at the photocathode is significantly constrained, primarily because of the rapid recombination of photogenerated electron-hole pairs and the high energy barrier encountered during the water splitting step. Here, a unique "sandwich" structure FeOOH/CuO/ZnO composite photocathode is fabricated by hydrothermal and electrodeposition methods.

DFPS: An Efficient Downsampling Algorithm Designed for the Global Feature Preservation of Large-Scale Point Cloud Data.

This paper introduces an efficient 3D point cloud downsampling algorithm (DFPS) based on adaptive multi-level grid partitioning. By leveraging an adaptive hierarchical grid partitioning mechanism, the algorithm dynamically adjusts computational intensity in accordance with terrain complexity. This approach effectively balances the global feature retention of point cloud data with computational efficiency, making it highly adaptable to the growing trend of large-scale 3D point cloud datasets.

Effects of Scutellaria baicalensis, Folium Artemisiae argyi, and Galla Chinensis on the protein expression and resistance genes of Exiguobacterium sp. in response to gentamicin.

Currently, the issue of antibiotic resistance genes as emerging pollutants in the environment has attracted significant attention in the field of environmental pollution research. Moreover, plant-derived compounds has become a research hotspot due to its high efficiency and low toxicity in reversing microbial intracellular antibiotic resistance genes. However, there is little research on the impact of specific plant extracts on proteins and antibiotic resistance genes during the process of reversing antibiotic resistance genes.

The impact of psychological needs, social support, and sport motivation on college students' sport commitment and sports participation.

Objective: This study aims to explore the mediating role of sport commitment in the relationships between basic psychological needs, exercise motivation, social support, and college students' sports participation, providing both theoretical and practical empirical support for enhancing sports participation among college students.

Methods: This study employed a random sampling method to conduct an online survey with 653 students from three universities in Anhui province, assessing the factors that influence their sports participation. The questionnaire included the Basic Needs Satisfaction Scale, Sports Motivation Scale, Perceived Social Support Scale, Sport Commitment Scale, and Sports Participation Scale.

Effects of three different types of fibers and dosage on the properties of alkali-activated copper slag-slag cementitious materials.

The use of copper slag instead of part of the slag to prepare alkali-activated cementitious materials can achieve the resource utilisation of copper slag, but alkali-activated copper slag-slag composite cementitious materials have the disadvantages of high shrinkage and low flexural strength, which limit their application in practical engineering. In order to improve its performance, this study used glass fiber, polypropylene fiber, steel fiber at 0.2%, 0.

Application and evaluation of industrial waste residue and bentonite for solidification and stabilization of sewage sludge.

This study examines the applications of industrial waste residue and bentonite in treating sewage sludge. An industrial waste residue-based composite binder (IWCB) was formulated by integrating ground granulated blast furnace slag, desulfurized gypsum, and Portland cement. The optimal formulation for IWCB and the suitable quantity of bentonite were thoroughly ascertained through unconfined compressive strength testing of the solidified sludge, accompanied by analyses of heavy metal concentrations and chemical oxygen demand in the leachate.

A large language model based pipeline for extracting information from patient complaint and anamnesis in clinical notes for severity assessment.

Identifying patients with critical illness in emergency departments (EDs) is an ongoing challenge, partly due to the limited information available at the time of admission. The clinical notes in patient records have already received attention for the value of improving prediction. Recent large language models (LLMs) have demonstrated their promising performance.

Robust spin-filtering and current-switching in a photochromic Fe(II) spin-crossover complex.

Transition metal spin-crossover (SCO) complexes with magnetic bistability show great promise as spin-switches for molecule-based devices. Using first-principles calculations combined with the non-equilibrium Green's function technique, we explored the spin-resolved electronic and transport properties of photochromic Fe(II) SCO complexes in the high-spin state with the open-ring (HS-O) isomer and in the low-spin state with the closed-ring (LS-C) isomer, since the photocyclization and photocycloreversion between the HS-O and LS-C isomers can be reversibly realized under light radiation with different wavelengths at room temperature as in previous experiments. Our results clearly reveal that the examined Fe(II) SCO complexes with photochromic diarylethene-based ligands in the HS-O isomer have lower energy than the LS-C isomer of 0.

Efficient radical generator with NIR emission by donor modulation for mitochondria-targeted photodynamic therapy.

Development of NIR type I photosensitizers (PSs) that can specifically target subcellular organelles remains a significant challenge in photodynamic therapy (PDT). In this work, two D-π-A PSs named TPE-IN and TPA-IN were constructed via the strategy of changing donors. In detail, replacing donor group tetraphenylethylene (TPE-IN) with triphenylamine (TPA-IN) could extend the emission wavelength of PSs into the NIR-I region.