Relationship between growth mindset and self-rated health in Chinese college teachers: sequential mediating effect of health self-efficacy and physical exercise.

Background: Chinese college teachers' health issues have become increasingly significant, making it crucial to promote their physical health. Based on self-regulation theory, this study aims to explore the relationship and underlying mechanisms between Chinese college teachers' growth mindset of health and their self-rated health.

Methods: The study involved 456 Chinese college teachers (213 males, 243 females) who filled out a questionnaire measuring their growth mindset of health, health self-efficacy, physical exercise, and self-rated health.

Alkyl pyridine ionic liquid as a green corrosion inhibitor for mild steel in acidic medium.

Using electrochemical measurements, the corrosion inhibition performance of pyridine bromide ionic liquid corrosion inhibitors on low carbon steel was evaluated under different concentrations and alkyl chain lengths of anions. The optimal process conditions were obtained: at 25 °C, in a 1 M HCl corrosion medium, the 1-dodecyl-3-methylpyridine bromide ionic liquid ([CPy]Br) exhibited the best corrosion inhibition effect, with maximum inhibition rates of 94.1%.

Applying stacked machine learning models to guide electrochemical oxidation of antibiotics: Key parameter identification and process optimization insights.

The continuous accumulation of antibiotics in the environment has become an increasingly concerned global environmental problem. Electrochemical advanced oxidation processes (EAOPs) have been attracted much attention in antibiotic degradation due to their unique advantages, but their effectiveness is influenced by various factors, and how to pinpoint the crucial factors remains unclear. In this study, six machine learning algorithms (i.

Sampling zero stability in sampled data control systems with delays using backward triangle sample and hold.

The impact of time delays on the stability of sampling zeros in sampled-data (SD) control systems is investigated. While delays, arising from communication and computational latencies, are known to critically influence zero-dynamics stability, their specific effect on sampling zeros remains less explored. This work establishes novel conditions for sampling zero stability under time delays, employing the Backward Triangle Sample-and-Hold (BTSH) method for signal reconstruction.

Optimized small object detection in low resolution infrared images using super resolution and attention based feature fusion.

Infrared (IR) imaging is extensively applied in domains such as object detection, industrial monitoring, medical diagnostics, intelligent transportation due to its robustness in low-light, adverse weather, and complex environments. However, challenges such as low resolution, high noise, limited texture details, and restricted dynamic range hinder the performance of traditional object detection models. To address these limitations, this study proposes an optimized approach for small object detection in low-resolution IR images by integrating super-resolution reconstruction with an enhanced YOLOv8 model.

The role of self-compassion in mental health among early adulthood with ADHD symptoms: a network psychometric approach.

Background: Previous research has primarily approached the interconnections between attentiondeficit hyperactivity disorder (ADHD) symptoms, self-compassion and mental health from a variable-centered perspective. However, few studies have explored how ADHD symptoms interacts with self-compassion and mental health at the symptom level. This study aims to construct a symptom network that elucidates the complex relationships among ADHD symptoms, self-compassion and mental health.

Predicting the remaining useful life of metro pantograph sliding strips using gamma processes and its implications for maintenance scheduling.

The progressive wear of pantograph sliding strips on metro trains necessitates timely replacement to ensure safe and reliable operations. This study proposes an adaptive, data-driven framework for predicting the remaining useful life (RUL) of these components, leveraging operational data from Chongqing Metro Line 6. A Gamma-process model is employed to capture the wear behavior under real-world operating conditions, integrating historical records and new observations through Bayesian inference.

Institutional synergy for green growth: Decoding GTFP's complex mediation between business environment and sustainable development.

This study investigates how the institutional business environment influences economic growth through its mediation effects on green total factor productivity (GTFP). Drawing on data from 290 Chinese cities, a hybrid methodological framework integrating qualitative comparative analysis (QCA) and regression techniques is employed. The results reveal that: (1) The business environment enhances GTFP through multiple equifinal pathways.

Catalytic Effect of Pd NPs Encapsulated in UiO-66(Zr) under Microenvironment Modulation for the Degradation of Trimethoprim in Fenton-like Reaction.

The large-scale production of iron sludge and the safety issues of HO usage are two limitations in the promotion and application of the Fenton reaction. To further solve the problems, an active hydrogen reduction strategy was proposed. Herein, the reducing property of active hydrogen was utilized to simultaneously generate HO in situ and accelerate the regeneration of ferric in the reaction process.

Assessment of green development strategies for manufacturing industry in China's coastal regions under dual-carbon circular economy using analytic hierarchy process.

Introduction: China's coastal manufacturing industry is fundamental to advancing national ecological modernization. Its effective green transition is critical for attaining sustainable development. This study investigates the key elements of this industry's green development, operating within the context of a dual-carbon circular economy, and assesses its current progress.

Study on mining deformation and fracture response mechanism and rock pressure law of super thick composite key roof.

In order to study the movement and deformation law of the super thick composite key layer overlying the stope. Taking the geological conditions of Yima mining area as the background, a three-dimensional (3.6 m × 2.

Adsorption Application of Choline Chloride Modified MIL-101 (Cr) in Carbon Capture and Storage.

This study developed a new way of designing choline chloride-modified MOF-based materials with advanced gas adsorption properties. To design better carbon capture materials, MIL-101 (Cr) was prepared using the hydrothermal method, and then was modified with different concentrations of choline chloride in a one-step method to enhance its CO adsorption capacity. The characterization and experimental results indicated that the modified ChCl-MIL-101(Cr) significantly enhanced the adsorption capacity for CO.

High-performance energy harvesting and continuous output using nylon-11/BaTiO₃-PVDF triboelectric nanogenerators with strong dielectric properties.

Among various emerging energy technologies, triboelectric nanogenerators (TENGs) have garnered significant attention owing to their ability to convert environmental mechanical energy into electrical energy through the triboelectric effect and electrostatic induction. However, there are some problems with optimizing the electrical output and conversion efficiency of TENGs. This paper presents a high-performance TENG enhanced with BaTiO₃ nanowires(BTONWs) using electrospinning technology.

Increasingly dependent on habit? A study on the electrophysiological mechanisms of goal-directed and habitual control in internet gaming disorder.

Background: Public health issues arising from excessive online gaming have garnered significant research interest. Existing studies indicate that, within the framework of the dual-systems theory, the equilibrium between the goal-directed and habitual control systems is disrupted in patients with Internet gaming disorder (IGD). Nevertheless, the understanding of how this imbalance manifests within the brain is limited.

Enhancing PI3Kγ inhibitor discovery: a machine learning-based virtual screening approach integrating pharmacophores, docking, and molecular descriptors.

PI3Kγ is a lipid kinase that is expressed primarily in leukocytes and plays a significant role in tumors, inflammation, and autoimmune diseases. Consequently, considerable attention has been given to the development of pharmacological inhibitors of PI3Kγ. Recently, machine learning-based virtual screening approaches have been increasingly applied in new drug discovery research, potentially providing innovative strategies for the development of PI3Kγ inhibitors.

Prediction of HPLC chromatograms under linear and curved gradient elution by linear gradient trials with initial hold time.

It is demonstrated that initial hold time (t) before gradient elution may be taken as an extension of dwell time (t) of the chromatograph. On the basis of this property, we deduce the expressions for retention time (t) and band compression factor (G) under linear gradient with t which is also called scouting gradient in this work. In the case of linear solvent strength model (LSSM) and when the analyte is eluted from the column after the end of linear gradient, an algebraic expression for G is deduced.

The relationship between defending self-efficacy and defending behavior in cyberbullying: a moderated mediation model.

Although defending self-efficacy is related to defending behavior in cyberbullying, little is known about the underlying mechanisms of this association. This study explored the relationship between defending self-efficacy and defending behavior. In a China sample, it examined the mediating role of defending intention and the moderating role of empathy in the association between defending self-efficacy and defending behavior.

Utilizing semantically enhanced self-supervised graph convolution and multi-head attention fusion for herb recommendation.

Traditional Chinese herbal medicine has long been recognized as an effective natural therapy. Recently, the development of recommendation systems for herbs has garnered widespread academic attention, as these systems significantly impact the application of traditional Chinese medicine. However, existing herb recommendation systems are limited by data sparsity, insufficient correlation between prescriptions, and inadequate representation of symptoms and herb characteristics.

Tuning the Structures and Photophysical Properties of D1-A-π-D2 Fluorophores by Terminal Donors (D2).

In order to investigate the influence of terminal donors on the structures and photophysical properties of D-A prototype fluorophores, three D1-A-π-D2 fluorophores with different terminal donors (D2) have been synthesized and characterized in this study. Assisted by density functional theory calculations, this study has found that terminal donors (D2) affect the molecular packing modes by modifying the intermolecular interactions. Localized orbital locator function analysis (LOL-π) indicated that increasing the numbers of aromatic rings of terminal donors (D2) would give rise to wider π-electrons delocalization, leading to the red-shifted absorption and emission properties of such compounds.

Multimodal trajectory prediction for intelligent connected vehicles in complex road scenarios based on causal reasoning and driving cognition characteristics.

The safe and efficient operation of smart Intelligent vehicles relies heavily on accurate trajectory prediction techniques. Existing methods improve prediction accuracy by introducing scene context information, but lack the causal perspective to explain why scene context improves prediction performance. In addition, current multimodal trajectory prediction methods are mostly target-driven and implicitly fused, relying too much on the density of candidate targets, as well as ignoring the road rule constraints, which leads to a lack of anthropomorphic properties in the model's prediction results.

Numerical Analysis of Residual Stress in Swing-Arc Narrow-Gap Gas Metal Arc Welding.

In order to gain a deeper understanding of the distribution of residual stresses in swing-arc narrow-gap GMA welding, this paper comprehensively considers the arc motion trajectory and joint geometry and establishes a three-dimensional finite element numerical analysis model for residual stresses based on elastic-plastic theory. Using the Ansys software, the welding residual stresses were calculated under swing frequencies of 4 Hz, 3 Hz, and 2 Hz, and the distribution characteristics of residual stresses were analyzed. The results indicate that the model effectively and accurately represents the movement trajectory and distribution characteristics of the swing arc.

Transforming Healthcare Through Value: A Fiscal Perspective on OECD Countries.

Background: Escalating healthcare expenditures pose a significant challenge to global fiscal sustainability. Value-based healthcare offers a strategy to improve health outcomes while controlling costs. This study examines the fiscal impacts of value-based healthcare in OECD countries, providing evidence of its role in enhancing fiscal efficiency.

Recent Advances on Epoxide- and Aziridine-Based [3+2] Annulations.

[3+2] Annulations are a powerful method for the synthesis of five-membered heterocyclic compounds. The annulations have concerted cycloaddition and formal (stepwise) cycloaddition reaction pathways. In addition to the well-established O-centered and N-centered ylides, epoxides and aziridines could serve as synthetic equivalent of 1,3-dipoles for [3+2] annulation with dipolarophiles for making functionalized tetrahydrofuran, pyrrolidine, and associated compounds.