Chongqing Technology and Business University

A Phosphazene‐Polyphenol Network Binder Enables Catalytic Polysulfide Conversion and Intrinsic Flame Retardancy for Practical Lithium‐Sulfur Batteries

ABSTRACT Practical deployment of lithium‐sulfur (Li‐S) batteries is severely hindered by polysulfide shuttling, structural degradation from severe cathode swelling, and flammability risks. Herein, we construct a cross‐linked macromolecular binder (HTP) by integrating bio‐derived...

Numerical simulation of motor neural system transmission models driven by multiplicative white noise: mean-square stability and convergence analysis

The signal transmission of motor neural system is inherently subject to random perturbations. Understanding the regulatory role of such noise in neural information encoding remains a central challenge in computational neuroscience and applied mathematics. This paper develops a pr...

IoT-enabled environmental monitoring and adaptive governance for ecotourism areas

Abstract Ecotourism areas require timely and adaptive environmental governance to balance ecological conservation with increasing tourism activities. However, existing studies primarily emphasize environmental sensing and data acquisition, while insufficient attention has been de...

Constraints of Tectono-Hydrothermal Alteration on Permian Volcanic Reservoir Formation as Recorded by Fluid Inclusions

The origin of effective porosity in the Permian volcanic reservoirs of the Sichuan Basin remains poorly understood, particularly regarding the contribution of deep-sourced hydrothermal fluids. This study presents an integrated analysis of the Emeishan basalts, combining petrograp...

A consistency-oriented adaptive power allocation method for battery energy storage systems under seasonal wind–photovoltaic scenarios

Abstract With the continuous increase in wind and photovoltaic penetration, battery energy storage systems (BESSs) have become an important supporting resource for power balancing and flexible regulation in renewable energy stations. However, during the long-term operation of mul...

Mapping the role of artificial intelligence in renewable energy and the clean energy transition: a bibliometric review

Purpose This study aims to present a bibliometric analysis of research on artificial intelligence (AI) applications in renewable energy (RE) technologies and the clean energy transition, highlighting both established and emerging research themes. Design/methodology/approach Data...

FMCG supply-chain coordination under network externality: decision modes and cost-sharing mechanisms

Purpose This study aims to examine how network externality affects coordination in a fast-moving consumer goods (FMCG) supply chain in which a supplier undertakes product innovation and a retail platform controls advertising and access. It evaluates stationary outcomes under unil...

The framework of Large Mathematical Logic Model (LMLM): Gibbs sampling-based restricted Boltzmann machines for financial engineering

This paper gives a mathematical account of Gibbs sampling, the classical Boltzmann Machine (BM), and the efficiency breakthrough of the Restricted Boltzmann Machine (RBM), tracing the Markov Chain Monte Carlo lineage from Metropolis–Hastings to coordinate-wise sampling and derivi...

Assessing the toxicological effects of synthetic musk ketone using the Caenorhabditis elegans model

Synthetic musk ketone (MK) is extensively used in perfumes, cosmetics, and detergents. Due to its high lipophilicity, persistence, and limited removal efficiency in wastewater treatment, MK has been detected in various environmental matrices and human tissues. However, the ecotox...

Construction of a federated learning-based privacy-preserving and intelligent recommendation model for educational data

With the development of the advanced educational platform, more and more personalized recommendation systems are used to increase the efficiency of learning and make the dissemination of the educational resources easier. However, educational recommendation tasks involve highly se...

Thermoresponsive mineral grout for autonomous oxygen isolation in underground coal pillars

A thermo-responsive mineral-based grout composite (GC) was developed for rapid sealing of fracture networks in underground coal pillars, aiming to eliminate oxygen ingress and prevent spontaneous combustion in goaf areas. Coal spontaneous combustion triggered by air leakage poses...

Global Reach of the EU 's CSRD : How Sustainability Disclosure Mandates Affect Non‐ EU Firms

ABSTRACT The European Union's Corporate Sustainability Reporting Directive (CSRD) represents a landmark regulatory effort to enhance global sustainability reporting and corporate accountability. This study examines how CSRD affects non‐EU firms with substantial economic exposure...

Tourism Demand Probabilistic Interval Forecasting Approach With Integrated Deep PatchTST‐GMM Model

ABSTRACT Tourism demand forecasting is an important guide for decision‐making in related industries, especially because interval forecasting can provide managers with more decision‐relevant information than a single point estimate. In order to better forecast tourism demand, this...

An improved neural network state observer-based optimized control for time-delay robotic manipulator system under deception attacks

Robotic manipulators have become the critical equipment in contemporary industrial applications due to remarkable path tracking robustness and enduring mission execution capabilities. This paper proposes an optimized tracking control strategy for time-delay n-link robotic manipul...

Phylogenetic structure of conifers in regional floras in relation to climate and environmental heterogeneity worldwide

Despite having only about 670 species worldwide, conifers are one of the ecologically and economically most important plant groups. They have a rich fossil record and previous studies have shown that their current diversity is the result of past radiations, extinction, and disper...

A Multimodal Graph Framework for News Credibility Assessment and Propagation-Level Prediction

The rapid dissemination of misinformation through online social networks creates challenges for information reliability and network stability. We evaluate a multimodal framework that produces a credibility classification and a propagation-level prediction within a single processi...

Association between the Chinese version of the Mediterranean-DASH intervention for Neurodegenerative Delay diet and BADL/IADL disability among older adults in China: a nationwide survey

Disability is a major challenge affecting older adults’ quality of life. Although the Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) diet has been shown to protect against functional disability in Western populations, its applicability across different cultura...