Digital Commons Network^™

Effect Of Lithium Methoxide On The High-Temperature Interface Stability Of Battery, Mo Wengui, Qiu Haodong, Meng Leichao, Zhang Lijuan

Dianchi(Changsha)

No abstract provided.

Glycine-Based Complex As The Anode Electrolyte For Alkaline All-Iron Flow Batteries, Shi Jintao, Zheng Yanyu, Ma Junjie, Song Jinshang, Lu Chen, Yan Shenglong

Dianchi(Changsha)

No abstract provided.

Water And Gas Transport Performance Of Gradient Microporous Layers Pemfc Membrane Electrode Assembly, Chen Xianghua, Wang Kaiqiong, He Miaomiao, Deng Zhixia, Feng Yong, Liu Jun

Dianchi(Changsha)

No abstract provided.

Algorithmic Optimization Of Energy Storage Systems In Microgrid Substations, Liu Chuang, Wang Jiyue, Liu Deping, Dong Cuifen

Dianchi(Changsha)

No abstract provided.

Comparison Of Cathode Binder System Of Flooded Ni-Mh Battery For Railway Applications, Li Jing, Sun Dongdong, Zhang Cuiping, Liu Kunpeng

Dianchi(Changsha)

No abstract provided.

5(Po4) 2p2o7@C Free-Standing Electrode, Wang Hongbo, Han Jiaxuan, Wang Haoran, Li Fachuang, Yan Lijing

Dianchi(Changsha)

No abstract provided.

Fault Detection In Power Batteries Based On An Improved Smote Strategy, Lan Nanyu, Chen Xuewen, Hu Lipeng, Tang Jinjun

Dianchi(Changsha)

No abstract provided.

Cloud-Edge Collaborative For Multi Virtual Power Plants For Battery Life Extension, Zhang Rixin, Du Xinhui, Su Jia

Dianchi(Changsha)

No abstract provided.

Optimization Of Pemfc Power Generation System Based On Ai Algorithm, Yang Zeyu, Lei Jinyong, Liao Wenhao, Yang Xi, Yuan Xinjie

Dianchi(Changsha)

No abstract provided.

Optimization On Infrared Drying For Li-Ion Battery Electrode Film, Zhou Qi, Wang Haiyang, Xiong Daxi

Dianchi(Changsha)

No abstract provided.

Deep Learning Battery Parameter Identification And Soh Estimation Based On Cloud Platform, Zhang Weiping, Wang Zhicui, Ji Li, Li Guoqiang, Zhao Wenlei

Dianchi(Changsha)

No abstract provided.

Li-Ion Battery Soc Estimation Based On Fuzzy Ffrls-Imiukf, Chen Fei, Gu Sujun, Cao Yuan, Wang Chunsheng, Li Ripeng, Tang Kang

Dianchi(Changsha)

No abstract provided.

Comparison Of Aging And Heat Generation Characteristics Between Sodium-Ion And Li-Ion Batteries, Lin Wuzhen, Hu Jinyang, Xiong Yian, Huang Rui, Yu Xiaoli

Dianchi(Changsha)

No abstract provided.

Effect Of Al2o3 Coating On Electrochemical Performance Of Lini0.5co0.2mn0.3o2, Li Fangrun, Chen Haibo, Li Hang, Hu Jing, Zhang Jianli, Hou Guangya, Tang Yiping, Chen Qiang

Dianchi(Changsha)

No abstract provided.

Non-Destructive Safety Diagnosis Of Li-Ion Battery Based On Direct Current Impedance Spectroscopy, Zhang Boyu, Xu Haonan, Bao Yun

Dianchi(Changsha)

No abstract provided.

Operation Status Of China’S Battery Industry In 2025, Wang Haibo, Qian Feihong, Lin Hong, Yin Yangming, Yang Yong, Cai Junquan, Ma Xiaoli, Cao Guoqing

Dianchi(Changsha)

No abstract provided.

Accelerating The Industrialization Of Fuel Cell Vehicles In China, Promoting The Application Of Hydrogen Energy, Hou Ming, Yi Baolian

Dianchi(Changsha)

No abstract provided.

Empowering Sustainable Household Waste Management Through Rubbin: App-Based Transactions Using Google Maps Api And Qr Code Recognition, H.A. Danang Rimbawa, Muhammad Abditya Arghanie, Muhammad Rey Renoult, Dea Dwi Ananda

Smart City

The Digitization of environmentally friendly technology must be applied to advance smart cities. Waste management carried out conventionally often causes irregularities in the classification data collection, difficulties in accessing information related to garbage collection schedules, and a lack of transaction history information, which causes a decrease in the quality of waste collection. The development of functional application features is urgently needed as a container for proper waste management. The Rubbin App has been created, which implements Google Maps API for route optimization and waste mapping, QR code recognition using Enhanced Adaptive Median Filter, and private chat for clients and collectors …

Full Issue

International Journal on Consumer Law and Practice

No abstract provided.

Healthy Lifestyle Behaviors And The Prevalence Of Obesity Among Female Adolescents In Southern Saudi Arabia: A Cross-Sectional Study, Abdullah Hassan Alhalafi, Ibrahim Awad Eljack, Abdullah M. Alshahrani, Abubakar Mohammed Jibo, Kamal Elden Alhassan, Partha A. Nandi, Rabia Farooq Jan, Abeer Adel Alshaer, Anwar Ali Alshehri, Atheer Hameed Alqarni, Albatool Khaled Alshahrani, Amirah Monyf Alotybi, Bushra Saeed Alshehri, Fatmah Ali Shehab, Mirnan Adel Alghamdi

University of Bisha Journal for Basic and Applied Sciences

Introduction: Adolescence is a critical period for establishing lifelong health habits; however, many unhealthy behaviors, such as poor diet, lack of physical activity, inadequate sleep, and smoking, are common. This study aimed to assess healthy lifestyle behaviors among female adolescents in Bisha, Saudi Arabia. Methods: This is a school-based cross-sectional study that examined lifestyle behaviors among 403 female adolescents (ages 15–19) in Bisha, Saudi Arabia. Using a multistage stratified cluster sampling method, data were collected through a validated questionnaire and analyzed using IBM SPSS 29. Results: Out of 403 female adolescents, 4.7% of participants were obese, while 57.1% had a …

Direct Pcr Detection And Identification Of Campylobacter Species In Chicken Livers Without Enrichment, Yahya Ali

University of Bisha Journal for Basic and Applied Sciences

Campylobacter bacteria are the causative agents of human foodborne acute enteric disease, ``campylobacteriosis''. Poultry meat is considered the primary source of this infection. This study was conducted to evaluate the use of multiplex polymerase chain reaction (multiplex PCR) for the direct detection of Campylobacter species from chilled chicken livers without an enrichment step, in comparison with the traditional culture-based method. Thirty chilled chicken liver samples were collected from supermarkets in Jazan City, representing six commercial poultry companies (A, B, C, D, E, and F). Samples were homogenized with buffered peptone water before being subjected to a multiplex PCR to detect …

Azo-Dye Polymers As Cathode Compounds For Zinc-Ion Batteries: A Comprehensive Review, Ahmed A. Alzharani

University of Bisha Journal for Basic and Applied Sciences

Azo-dye polymers, characterized by reversible –N=N– redox units, have recently emerged as promising organic cathode materials for aqueous zinc-ion batteries (ZIBs) owing to their structural tunability, environmental compatibility, and multi-electron storage capability. This review provides a critical and mechanism-oriented analysis of recent progress in azo-polymer cathodes, with particular emphasis on molecular design strategies, structure-property-performance relationships, and Zn²⁺ storage mechanisms. The influence of polymer architecture (linear, conjugated, and cross-linked), functional group engineering, and hybrid composite formation on electrochemical metrics, including capacity, voltage window, rate capability, and cycling stability are systematically compared. Beyond summarizing reported performances, this review identifies key structure-driven …

Simultaneous Assessment Of Four Heavy Metal Cations In An Indoor Airborne Particulate Substance By Square Wave Stripping Voltammetry, Othman A. Farghaly

University of Bisha Journal for Basic and Applied Sciences

This investigation elucidate procedure to assessments trace cadmium (II), Lead (II), copper (II) and zinc(II) ions in an indoor airborne particulate substance sample by square wave anodic stripping voltammetry (SWASV). Various experimental trials, which affected the sensitivity of carbon paste electrode (CPE) to these metallic ions, were adjusted. Lower limit of detection of four metal ions were 0.02, 0.3, 0.03 and 0.09 μg/Kg for cadmium (II), Lead (II), copper (II) and zinc(II), respectively, with great accuracy (standard deviation is below 3 %). respectively, with identical accuracy. Interference from co-existing cations were successfully examined. A comparison of data results for assessment …

Vaccine Hesitancy In Saudi Arabia: Barriers, Determinants, And Strategies For Improvement, Ahmed A. Almohammadi

University of Bisha Journal for Basic and Applied Sciences

Introduction: Vaccine hesitancy represents a critical public health challenge threatening immunization program success globally. In Saudi Arabia, despite achieving high official vaccination coverage rates, community-based studies reveal significant hesitancy ranging from 3.1% to 72.2% across populations and vaccine types.

Objective: To synthesize evidence on vaccine hesitancy prevalence, determinants, and effective intervention strategies in the Saudi Arabian context, with specific focus on COVID-19, childhood, HPV, and influenza vaccines.

Methodology: A comprehensive narrative review of peer-reviewed literature published between January 2015 and December 2024 was conducted using systematic search strategies across multiple databases. PubMed, Scopus, Web of Science, and Saudi Digital Library …

Sbo: Steel Building Optimizer – A Multi-Objective Structural Design Software Using The Gradual Evolution Algorithm, Amin Hasheminasab

Defensive Publications Series

Abstract

This document describes the technical functionality of a novel design software named "SBO" (Steel Building Optimizer). SBO is a MATLAB-based software that optimizes both the weight and the total welding length of steel buildings while automatically verifying serviceability limits. The software employs a proprietary evolutionary algorithm—named "Gradual Evolution Algorithm (GEA)"—developed by the author, alongside the Genetic Algorithm (GA) in a secondary optimization role. Compared to conventional designs generated by ETABS, SBO reduces steel structure weight by 10–15% and welding length by 6–10%, while also checking drift limits, torsional irregularity, and member load-carrying capacity.

Hierarchical Resonance Field Networks (Hrfn), Johny Manuel-Devadoss, Deepthi Prasad

Defensive Publications Series

We propose Hierarchical Resonance Field Networks (HRFN), a sequence modeling framework that replaces discrete token-level attention with a continuous-time dynamical system defined over a hierarchical latent field. Instead of computing pairwise interactions via similarity in embedding space, HRFN defines interactions as phase- and frequency-coupled resonance dynamics over a structured manifold.

Formally, each input token is mapped to a localized field excitation, and computation proceeds via iterative evolution of a sparse interaction graph induced by spectral alignment constraints. The resulting architecture generalizes self-attention, recurrence, and memory retrieval as special cases of a unified resonance operator acting over latent fields. We show …

Integrated Remediation-To-Carbon Process Using Contaminate-Loaded Remediation Media From Mining And Analogous Industry Environments, J. Michels

Defensive Publications Series

This disclosure describes an integrated process in which metals from mining-impacted or legacy-contaminated environments are captured into a carbonaceous or biological solid — or concentrated from a metal-bearing liquid stream — by any physical, chemical, or biological remediation mechanism, and that metal-loaded solid is subsequently converted by thermal treatment under inert or oxygen-limited conditions into a non-graphitic, metal-containing carbon material for use in any downstream application. The core novelty is the deliberate treatment of the remediation-derived metal loading as the intentional precursor step in a carbon-materials synthesis route, with the metals originating from the contaminated environment retained by design as …

Gci #272-V3.2: Hyper-Arid Vortex–Mof Atmospheric Water Prototype, Michael Victor Caldwell Mr.

Defensive Publications Series

This disclosure defines a modular, off-grid atmospheric water generation (AWG) prototype specifically engineered for hyper-arid environments (3%–15% RH). Unlike conventional refrigerant-based systems that fail at low dew points, GCI #272-V3.2 utilizes a hybrid cycle combining dual-stage Ranque-Hilsch vortex cooling, supersonic ejector air-entrainment, and Metal-Organic Framework (MOF) adsorption. The system uses a cumulative adsorption strategy to harvest moisture over time, followed by a waste-heat-driven desorption phase and cryogenic flash-condensation on nanostructured hydrophobic surfaces. The inventor provides this specification as an open-source humanitarian contribution to enable global peer review, experimental testing, and field deployment in water-stressed regions without seeking patent protection.

Stratified Adaptive Coordination Networks (Sacn): A Next-Generation Multi-Agent Paradigm For Large-Scale Autonomous Systems, Johny Manuel-Devadoss

Defensive Publications Series

This paper introduces Stratified Unified Coordination Networks (SUCN), a next-generation multi-agent system architecture designed for extreme-scale autonomy in heterogeneous environments. SUCN enables decentralized agents to dynamically form, dissolve, and reconfigure hierarchical coordination structures under uncertainty, partial observability, and adversarial conditions. Unlike conventional multi-agent reinforcement learning (MARL) systems that rely on static communication graphs or centralized critics, SUCN embeds self-evolving coordination grammars, latent role synthesis, and probabilistic intent alignment fields to enable emergent system-wide coherence without centralized orchestration.

I present the theoretical formulation, system architecture, learning dynamics, and convergence properties of SUCN, along with a commercialization pathway toward deployment …

Mycelial Multimodal Agent Defense (Mmad) - Ultra-Granular, Post-Signature Malware Defense For Resource-Constrained Devices, Johny Manuel-Devadoss

Defensive Publications Series

By 2040, malware targeting small devices will exhibit self-coordinating, polymorphic, and physically embedded behaviors, exploiting cross-modal sensor surfaces, firmware-level persistence, and side-channel emissions. Existing multimodal agent-based malware defense frameworks remain constrained by classical message passing, centralized model dependencies, and static trust assumptions.

This paper introduces Quantum-Mycelial Multimodal Agent Defense (MMAD), a fundamentally new defense paradigm for small devices. MMAD replaces explicit coordination with implicit state correlation, employs self-organizing trust hypergraphs, and leverages high-dimensional multimodal inference to detect and neutralize emergent malware behaviors under extreme resource constraints.

I present the theoretical foundations, agent architecture, learning dynamics, security guarantees, and a realistic …