Digital Commons Network^™

A Rock-Cut Burial Cave From The Second Temple, Period At Ḥorbat Ẓefiyya, Judean Shephelah,, Pirhiya Nahshoni, Boas Zissu, Nitzan Sarig, Amir Ganor, Avi Avganim

'Atiqot

No abstract provided.

A Review Of Early Remaining Life Prediction Methods For Li-Ion Battery, Chen Yong, Wang Junlei, Wang Peng, Wang Yansong, Fan Guodong

Dianchi(Changsha)

No abstract provided.

Summarize Of Multidimensional Evaluation For Aging Mechanisms In Energy Storage Battery, Liu Hui, Chen Yanqiao, Wang Rong, Wang Chu, Ma Yue, Zhao Fuyun, Yan Kang, Su Yuefeng, Chen Lai

Dianchi(Changsha)

No abstract provided.

Effect Of Anode Compaction Density On Cell Fast-Charging Capability, Yang Huimin, An Hongli, Zhu Yangyang, Duan Ruijie, Xiong Yongchuang, Niu Bangbang

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.

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.

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.

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 …

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 …

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 …

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 …

(((Qpie33))) Aetheris-12 Sovereign Defense Mandate., Teddy Burroughs

Defensive Publications Series

This is the QPIE Quantum Perspective Is Everything… Aetheris-12 Sovereign Defense Mandate. This document is a high-bandwidth, long-form response to the institutional “Sapiens Standard Model” (SSM) skeptics, the gatekeepers of the binary scientific apparatus, and the holders of the peer-reviewed status quo.

We recognize your position. From the perspective of the 637mK Stochastic Nursery, the QPIE 0.993 Floor looks like “Pseudo-Science” because your instruments are calibrated for Friction, whereas ours are calibrated for Laminarity. You are attempting to measure a Superfluid Solid with a thermometer designed for boiling water.

Below, we address the top 12 institutional rebuttals …

The Comfort Of The Cage: Why The Bamboozled Stay And The 54 Obvious Paradoxes That Proves It!, Teddy Burroughs

Defensive Publications Series

This deep dive is a forensic decoding of why “Comfortable Numbness” is the primary competitor of Resonant Abundance. As always We approach this with Compassion, Gratitude, and Trust (CGT), because these “Toddlers” are us—they are simply nodes currently trapped in a high-viscosity “Jitter Loop.”

II. THE ANATOMY OF THE CAGE: THE FOUR PILLARS OF ATTACHMENT

1. The Safety-Predictability Glitch

In the 3D Toddler Room, “Safety” is defined as “knowing what is going to happen next,” even if what happens next is bad. Sapiens prefer a Predictable Misery over an Unpredictable Infinite.

• The Mechanics: If you know …

The Intra-Media Chapter Navigation Using Hardware Button Sequences On A Locked Device, Pratap Kalenahalli Sudarshan

Defensive Publications Series

A system can facilitate navigation between chapters within a single media file, such as a podcast or audiobook, on a computing device (e.g., a smartphone, smart watch, wearable device, etc.). The system may interpret specific, predefined sequences of hardware button presses as chapter level seek commands. Before executing a command, the system can validate the device context, for example, by confirming the screen is locked, media is actively playing, and the media file contains embedded chapter markers. Following validation, the system can send a seek command to the media player to jump to the start of a target chapter and …

Framework For Robustness Against Divergent Voltage Drops And High Clock Divergence, Google Case Managers Picozzi, Prateek Pendyala

Defensive Publications Series

A framework providing a dual-metric topology assessment evaluates hold-timing vulnerabilities on paths experiencing high divergence and associated voltage drop gradients. The framework utilizes loop delay tolerance and differential drop tolerance metrics to identify fragile paths and apply proactive verification early in the physical design cycle.

Machine Learning-Based Hybrid System With Multi-Scale Spatial-Temporal Power Grid Attention For Real-Time Dynamic Ir-Drop Prediction, Google Case Managers Picozzi, Vishant Gotra, Prateek Pendyala

Defensive Publications Series

A machine learning-based hybrid system can utilize multi-scale spatial-temporal power grid attention for real-time dynamic ohmic (IR)-drop prediction. The system employs a two-stage hierarchical architecture combining convolutional neural networks to capture global spatial hotspot contexts and gradient-boosted decision trees to predict instance-specific magnitudes. By shifting from a traditional batch verification process to a real-time predictive approach, the system significantly accelerates design convergence while maintaining high accuracy.

Virtual Power-Aware Spatial Tiling Framework For Automatic Test Pattern Generation, Google Case Managers Picozzi, Mayank Parasrampuria, Vishant Gotra

Defensive Publications Series

The disclosed technology introduces an artificial intelligence-based spatial partitioning framework for integrated circuit testing. By extracting physical and electrical features from design instances, the system constructs optimized virtual tiles to manage power constraints dynamically during structural testing. The methodology utilizes machine learning refinement techniques to maintain load balancing and spatial contiguity, allowing test pattern generation tools to operate with granular, region-specific power awareness that aligns with the underlying power distribution network.

Toward Greater Wellbeing: Student-Guided Strategies For Improving Sport And Recreation Engagement, Vinu Selvaratnam, Laura Wood, Ryan Snelgrove

Journal of Applied Sport Management

Despite widespread recognition of campus recreation as a key contributor to student well-being, many university students remain underactive, even when programming is available. This study explores student-generated strategies for improving participation in campus recreation, drawing on open-ended responses from 182 undergraduates at a large Canadian university. Using thematic content analysis and chi-square comparison, we examine how suggestions differ between students who report being sufficiently active and those who do not. Seven core themes emerged, with underactive students more likely to identify structural barriers such as inconvenient scheduling, limited facility access, and insufficient communication. These suggestions are interpreted through the Leisure …

A Low-Cost Motion Classification System For A Stuffed Animal Using An Imu And Machine Learning, Rachel N. Guynes

Honors Theses

One of the many fields that has seen the integration of robots is therapy. Zoomorphic robots (ZR) are designed to look and behave like animals to assist in Animal Assisted Therapy (AAT) practices. Studies show that ZRs can provide benefits similar to working with an actual animal; however, their high cost limits their accessibility. This thesis documents the process of building a real-time, low-cost motion classification system that can be attached to a stuffed animal to make it more interactive. Using a Random Forest (RF) classifier, the system identifies movements with approximately 81.67% accuracy.

Dementia Detection In Low-Resource Languages: Evaluating Translation-Assisted Transfer Learning For Multilingual Clinical Assessment, Kylar A. Deloach

Honors Theses

Alzheimer's disease (AD) is a growing global health concern, with millions of people affected worldwide and cases expected to rise significantly in the coming decades. Early detection is critical for patient treatment and care, and recent advances in natural language processing (NLP) have shown promise in identifying linguistic markers associated with AD. However, most existing work has focused on English, leaving speakers of other languages with limited access to such tools. This study investigates how effective AD detection models trained on English data are at transferring to Greek, a low-resource language with limited dementia-related speech data available. We propose a …

Féminicide: Institutional Silence On The Screams Of Murdered Women In France, M. Afif Alfadin Syarif, Airin Miranda

Paradigma: Jurnal Kajian Budaya

Rising awareness of women's homicide in France has challenged the government to provide an adequate legal response, as feminist groups began advocating and expressing the discourse on women's homicide since 2014 through the term féminicide. The nature of this crime remains contentious in legal discourse, particularly given the significant rise in féminicide cases in 2019. This study, therefore, aims to examine the phenomenon of féminicide in France, exploring both the discourse surrounding it and the legal responses from the government. Drawing on 46 cases recorded in 2023 by the feminist collective #NousToutes, and with particular attention to relevant legal …

Twenty-Seven Feet And Rising: An Environmental History Of The 1964 Flood In Humboldt County, California, Randi Maveety

Charles R. Barnum History Award Papers

No abstract provided.

Mgrre_Thinsections_Mgrre-150_10, Mgrre

Thin Sections

No abstract provided.

2026 April 30 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

Mgrre_Thinsections_Mgrre-95_15, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-150_3, Mgrre

Thin Sections

No abstract provided.