Estimation method for karst carbon sinks on the basis of a concentration prediction model.

Karstification can reduce the CO concentration in the atmosphere/soil. Accurate estimation of karst carbon sinks is crucial for the study of global climate change. In this study, the Lijiang River Basin was taken as the research area.

Data-driven assessment of well stimulation in unconventional gas reservoirs.

Unconventional gas reservoirs, characterized by their complex geologies and challenging extraction conditions, demand innovative approaches to enhance gas production and ensure economic viability. Well stimulation techniques, such as hydraulic fracturing and acidizing, have become indispensable tools in unlocking the potential of these tight formations. However, the effectiveness of these techniques can vary widely depending on the specific characteristics of the reservoir.

Heterogeneity and permeability estimation of pore-throat structure at different scales in deep tight sandstone reservoirs: A case study of Paleogene Hetaoyuan Formation in Anpeng area, Nanxiang Basin, China.

Clarifying the pore-throat size and pore size distribution of tight sandstone reservoirs, quantitatively characterizing the heterogeneity of pore-throat structures, is crucial for evaluating reservoir effectiveness and predicting productivity. Through a series of rock physics experiments including gas measurement of porosity and permeability, casting thin sections, scanning electron microscopy, and high-pressure mercury injection, the quality of reservoir properties and microscopic pore-throat structure characteristics were systematically studied. Combined with fractal geometry theory, the effects of different pore throat types, geometric shapes and scale sizes on the fractal characteristics and heterogeneity of sandstone pore throat structure are clarified.

Weak fault feature extraction method of rolling bearing based on wavelet packet decomposition and optimized MCKD.

The early fault characteristics of rolling bearings are weak, especially in a strong noise environment, which are more difficult to extract; therefore, a method based on wavelet packet decomposition, multi-verse optimizer, and maximum correlated kurtosis deconvolution for weak fault feature extraction of rolling bearings is proposed. First, the original vibration signal is decomposed using wavelet packet decomposition, followed by proposing a signal reconstruction method combining the Pearson correlation coefficient and energy ratio to effectively remove noise from the original signal. Second, the parameters L and M of Maximum Correlated Kurtosis Deconvolution (MCKD) are optimized using the multi-verse optimizer algorithm to obtain optimal filter settings.

Proactive personality, burnout, and teaching enjoyment: exploring relationships in Chinese English teachers.

Introduction: This study examines the relationships between proactive personality, burnout, and teaching enjoyment among Chinese English as a Foreign Language (EFL) teachers. The research aims to clarify how proactive personality traits relate to teaching enjoyment and burnout and to explore their interactions in the context of EFL instruction.

Methods: The study included a sample of 420 Chinese EFL teachers, and Structural Equation Modeling (SEM) was used to assess the relationships among proactive personality, burnout, and teaching enjoyment.

A General Nonbonded Force Field Based on Accurate Quantum Mechanics Calculations for Elements H-La and Hf-Rn.

Noncovalent interactions (NCI) play a central role in numerous physical, chemical, and biological phenomena. An accurate description of NCI is the key to success for any theoretical study in such areas. Although quantum mechanics (QM) methods such as dispersion-corrected density functional theory are sufficiently accurate, their applications are practical only for <300 atoms and <100 ps of simulation time.

Research on efficient numerical simulation method for integration fracking with production in shale oil reservoir with multi-source data.

Horizontal well hydraulic fracturing technology has significantly enhanced the productivity of shale reservoirs. However, our understanding of the expansion patterns within the complex fracture network and fluid seepage mechanisms under field conditions remains inadequate. Here, this work develops a dynamic geomechanical (DG) model to simulate the complete sequence of operations in hydraulic fracturing.

The effect of workload on mind-wandering of drilling operators measured by electroencephalography (EEG).

Mind wandering can cause workers to overlook safety hazards and delay making accurate operational decisions, ultimately raising the potential for accidents. However, there is relatively little research on the physiological characteristics of drilling workers during mind wandering. The aim of this investigation was to tackle the constraints of previous studies and to establish a more comprehensive theoretical framework and practical guidance for safety management.

Self-cleaning micro/nano graded porous groove structure fiber membranes by coaxial spinning for purification of dye wastewater.

Adjusting the structure of the membrane and improving its performance proved to be an effective technique for accomplishing efficient dye wastewater purification. Water erosion of polyvinylpyrrolidone (PVP) core in polyacrylonitrile (PAN) nanofiber membrane modified with UiO-66-NH was successfully achieved, in this study, using coaxial electrospinning, and ZIF-8 with excellent performance was further epitaxy-grown in situ. Two differently shaped and positively charged MOFs confer strong adsorption capacity (adsorption capacity >2042 mg/g) on cationic dyes.

Facile Synthesis of Acyl-Hydrazone Composites Based on Hydrazide-Modified Formylated Polystyrene for Effective Removal of Heavy Metal Ions and Sulfides from Water.

In this study, waste polystyrene was modified and upgraded to prepare formylated polystyrene, and the modified polystyrene acetyl hydrazone (LT-HPA) was synthesized by condensation with polymethyl-propionyl-hydrazine. It is proven that the modification of the adsorption material is successful by various characterization methods. In the subsequent pollutant removal study, pH, mass, concentration, contact time, and salt ion interference were investigated.

Bismuth-based nanoparticles and nanocomposites: synthesis and applications.

In the vast landscape of materials science, bismuth emerges as a compelling element with unique properties and diverse applications. Its intriguing characteristics and advancements in nanotechnology have propelled bismuth-based nanoparticles to the forefront of scientific exploration, promising breakthroughs in various disciplines. This comprehensive review explores diverse methods for synthesizing bismuth-based nanoparticles and nanocomposites, ranging from conventional approaches such as hydrothermal and sol-gel to innovative techniques such as microwave-assisted, microemulsion, and green synthesis.

Considering the Bottom Edge Cutting Effect of the Carbon Fiber Reinforced Polymer Milling Force Prediction Model and Optimization of Machining Parameters.

The milling force plays a pivotal role in CFRP milling. Modeling of the milling force is helpful to explore the changing law, optimize the processing parameters, and then reduce the appearance of defects. However, most of the existing models ignore the effect of the bottom edge.

Self-Assembly Systems Based on Betaine-Type Hydrophobic Association Polymer Used in Acid Stimulation: Effects of Surfactant and Salt Ion.

Hydrophobic association polymers containing various functional groups have a great deal of application potential as a self-thickening agent in carbonate acidification, while the improvement of their viscosification ability under high temperature conditions remains a significant challenge. A kind of betaine-type hydrophobic association polymer (PASD) intended for use as an acid thickener was synthesized through aqueous solution polymerization with sulfobetaine and a soluble hydrophobic monomer. The structure of PASD was characterized by FT-IR and H NMR.

Improved exponential smoothing grey-holt models for electricity price forecasting using whale optimization.

This study introduces a ground-breaking approach, the Whale Optimization Algorithm (WOA)-based multivariate exponential smoothing Grey-Holt (GMHES) model, designed for electricity price forecasting. Key features of the proposed WOA-GMHES(1,N) model include leveraging historical data to comprehend the underlying trends in electricity prices and utilizing the WOA algorithm for adaptive optimization of model parameters to capture evolving market dynamics. Evaluating the model on authentic high- and low-voltage electricity price data from Cameroon demonstrates its superiority over competing models.

The effects of layout types, visual features and text labels on icon visual search performance.

In operational tasks involving cognitive processes and visual guided pointing activities, this paper investigated the effects of icon layout types, visual features and text labels on the performance of visual search through eye tracking technology, taking the layout types of the icon (single row, double row, matrix and circular), visual features (round icon, round inverse colour icon, chamfered square icon, chamfered square inverse colour icon and borderless icon) and text labels (with or without text labels) as experimental variables. The task completion time, the total duration of fixation in AOI (Area of Interest) and the number of fixations in AOI were statistically analysed. Experimental results revealed that the combination of without text label, matrix layout and chamfered square icons could help improve interaction efficiency.

Systematic Analysis of the Effect of Benzene on the Corrosion Inhibition Performance of Imidazoline Derivatives: Experimental and Theoretical Research.

Imidazoline derivatives are widely used to prevent corrosion due to their toxicity and mitigation potential. The present study deals with the synthesis of two imidazole Schiff derivatives (JSMP and JSPP) based on imidazole hexanoate (JSMZ). The corrosion mitigation potential and mechanism in 1.

Design and experimental study of a new hydraulic tool for lost-circulation materials (LCM) plugging while drilling.

Big Data Analysis from the worldwide field shows that lost circulation is a common phenomenon in drilling and the success ratio of remedial treatment for lost circulation is low. It is not only because of these complexities of the formation, but also because of the poor performances of the lost-circulation materials (LCM) and technologies. This paper proposes a new method in plugging, which is based on a particular physical method for lost circulation controlling and plugging while drilling.

Spike-VisNet: A novel framework for visual recognition with FocusLayer-STDP learning.

Current vision-inspired spiking neural networks (SNNs) face key challenges due to their model structures typically focusing on single mechanisms and neglecting the integration of multiple biological features. These limitations, coupled with limited synaptic plasticity, hinder their ability to implement biologically realistic visual processing. To address these issues, we propose Spike-VisNet, a novel retina-inspired framework designed to enhance visual recognition capabilities.

PAD resin: An intelligent adsorbent for solving Cr(VI) pollution with real-time feedback and high efficiency.

To address the urgent issue of Cr(VI) pollution and protect aquatic ecosystems, we conducted an exhaustive investigation into a Poly(acrylamide-co-methacryloyloxyethyl trimethylammonium chloride) (PAD) resin synthesized through an environmentally friendly aqueous polymerization process. This resin not only boasts a high capacity for Cr(VI) removal but also incorporates a colorimetric sensing mechanism that visually transitions from transparent to yellow upon Cr(VI) adsorption, offering real-time, non-invasive monitoring and optimization of the remediation process. According to the Langmuir model, at a pH of 4.

Controllable Microwave Heating for Energy-Efficient and Universal Synthesis of Atomically Dispersed Metals on Nitrogen-Doped Carbon Nanofibers.

Carbon-supported single-atom catalysts (SACs) have shown great potential in electrocatalysis, whereas traditional synthesis methods typically involve energy-intensive carbonization processes and unfavorable atomic migration and aggregation. Herein, an energy-efficient and universal strategy is developed to rapidly fabricate various SACs on nitrogen-doped hierarchically porous carbon nanofibers (M-TM/NPCNFs, TM = Fe, Co, Ni, FeCo, and FeNi) by electrospinning and controllable microwave heating technique. Such microwave heating technique enables an ultrafast heating rate (ramping to 900 °C in 5 min) to greatly suppress the random migration and aggregation of metal species.

Dual (oxy)hydroxide Cocatalyst Synergistically Boosts Solar Water Splitting of BiVO Photoanode.

Bismuth oxide (BiVO) is considered one of the most promising semiconductors for photoelectrochemical (PEC) water splitting due to its highly theoretical photocurrent of 7.5 mA cm. However, its sluggish kinetics and severe photocorrosion still hinder the real application of a large-area BiVO photoanode.

Numerical Simulation of CO Dissolution and Mineralization Storage Considering CO-Water-Rock Reaction in Aquifers.

CO storage technology is crucial in addressing climate change by controlling the greenhouse effect. This technology involves the injection of captured CO into deep saline aquifers, where it undergoes a series of reactions, such as structure binding, dissolution, and mineralization, enabling long-term storage. Typically, the CO is maintained in a supercritical state, enhancing its storage efficiency.