Digital Commons Network^™

'Warmth And Fluidity'; 'My Best Friend'; & 'Epiphany', Lucky Rodriguez, Sierra Hall, Connor Larson

.RAW Journal of Art and Design

No abstract provided.

'Pop!' & 'Cherries', Alyssa Shavely, Gillian Grow-Juarez

.RAW Journal of Art and Design

No abstract provided.

'Drag'; 'Obsession Rewritten'; & 'Untitled', Maxwell Rice, Mia Haney, Cézar Gomez

.RAW Journal of Art and Design

No abstract provided.

'Swell Sisters', Sophia Tiemens

.RAW Journal of Art and Design

No abstract provided.

'Love Forever And Forever In Love', Tracy Jackson

.RAW Journal of Art and Design

No abstract provided.

'4 Legged Creatures Discover The Sun' & 'Interim', Moussa Ndiaye, Joshua Mahlow

.RAW Journal of Art and Design

No abstract provided.

'Cut Plane Sand' & 'Spring Break', Luke Gillon, Jaiden Duffee

.RAW Journal of Art and Design

No abstract provided.

'Nourish Nymphs', María Belén Luzuriaga Abad

.RAW Journal of Art and Design

No abstract provided.

'Fish 1, Fish 2' & 'The Reef', Yagmur Wernimont, Victoria Dai

.RAW Journal of Art and Design

No abstract provided.

Preface, Sophia Tiemens

.RAW Journal of Art and Design

No abstract provided.

Table Of Contents, Sierra Hall

.RAW Journal of Art and Design

No abstract provided.

Opening, Michaela Velleno, Zoé Shaikh

.RAW Journal of Art and Design

No abstract provided.

Cover, Owen Isachsen

.RAW Journal of Art and Design

No abstract provided.

Full Issue, Michaela Velleno, Zoé Shaikh

.RAW Journal of Art and Design

No abstract provided.

From Competition To Complementarity: A Case Study Of Arabic-English Language Ideologies At University Of Bisha, Ahmed Yahya Mohammed Al-Hakami

UB Journal for Humanities

This study investigates the coexistence of, and tension between, Arabic and English language ideologies in Saudi higher education, focusing on University of Bisha as a case study. Drawing on quantitative data from online questionnaires (N = 138), this study examines how Arabic and English are ideologically valued, legitimised, and contested across three dimensions, namely identity, academic learning, and status. Using robust statistical analyses, including correlation and repeated-measures testing, the analysis tests whether these ideologies function primarily as competing forces, privileging one language at the expense of the other, or as complementary resources that support students’ academic experience and professional ambition. …

Paragliding The Cliff Edge: Introducing Open Mic Studies. A Creative Response To Navigating The Post-18 Landscape For Young Adults With Send., James Tarling, Charlie Robinson, Nick Hall, Sammy Shepherd

Plymouth Interdisciplinary Education Open Journal

This conceptual article investigates novel ways of thinking about Open Mic Nights (OMN) – performance spaces understood as free, community arts and performance opportunities where the members of the public are welcome to perform music, poetry and comedy in front of an audience. For the purposes of this article, music-related OMN that take place in pubs or community centres are discussed.

The article is intended to be a primer for OMN studies that offers new and emerging trailheads for future research and discussion. Its central focus is how OMN may benefit the Special Educational Needs and Disabilities (SEND) community with …

Grounded Multi-Agent Ai System For Automated Publisher Analysis And Remediation, N/A

Defensive Publications Series

Digital publishers may face challenges in interpreting complex performance data to identify technical issues or monetization opportunities. The disclosed technology describes a system that can utilize a multi-agent artificial intelligence architecture to ingest and process varied data sources to detect anomalies. An orchestrator agent may delegate analysis to specialized sub-agents, which can use a retrieval-augmented generation engine grounded in a corpus of verifiable data to perform root cause analysis and formulate solutions. The system can present findings in a narrative format and may include an action engine to facilitate remediation, assisting users in converting performance data into actionable strategy and …

Late-Stage Semantic Disambiguation Of Multi-Hypothesis Automatic Speech Recognition In Digital Voice Platforms, Mubaraq Mishra

Defensive Publications Series

This publication describes a system and methodology for improving speech recognition accuracy in smart home devices by transitioning from early-stage transcription biasing to late-stage semantic disambiguation. Conventional automatic speech recognition architectures prematurely resolve phonetic ambiguities by selecting only the single highest-ranked transcript, which often fails when processing niche media requests, regional dialects, or voice commands in noisy environments. The described framework preserves a complete set of alternative transcript hypotheses, packages them with their respective confidence metrics into a contextual container, and forwards them to a downstream semantic processing engine. By analyzing the phonetic relationships among these hypotheses alongside contextual signals …

Plain-Language Guide To The Systemic Progress Regeneration Protocol (Sprp), Volodymyr Kotegov

Defensive Publications Series

This document serves as an operational commentary and plain-language implementation guide for the Systemic Progress Regeneration Protocol (SPRP). It translates the core theoretical constraints and validation criteria of the protocol into actionable workflows for independent developers. The guide focuses on the practical mechanics of maintaining tech lineage, executing isolation audits, and establishing onboarding steps within Phase 0 engineering domains.

Multi-Signal Fusion Architecture For Semantic Leak Detection In Large Language Model Inputs, Kaustav Saha Saha, Shwetank Raghuvanshi, Batool Haider, Kliton Andrea, Chenhui Hu, Subramanian Srinivasan, Ashwin Kesireddy, Zscaler, Inc.

Defensive Publications Series

A system detects semantic leakage of contextual information in a prompt to a large language model (LLM) by extracting, in parallel from a reference context and a user input, a cosine similarity signal from multilingual sentence embeddings, an entity overlap signal from extracted named entities, and a number match signal from extracted numerical patterns. Fusion weights are selected from a plurality of language-tier weight profiles based on a detected language of the user input, and a fused score is computed as a weighted combination of the signals. The reference context and the user input are routed onto a fast trigger …

Table Of Contents, The Editors

Coal Geology & Exploration

No abstract provided.

Microstructure Evolution Characteristics Of Coal Briquettes During Hot Pressing Carbonization And A Temperature Control Method, Gan Qingqing, Xu Jiang, Peng Shoujian, Cai Guoliang

Coal Geology & Exploration

Objective Coal briquettes used for physical simulations of gas disasters in coal mines generally exhibit low strength and high permeability. To address this challenge, this study developed a new hot pressing process and a temperature control method to optimize the mechanical and seepage performance of coal briquettes. Methods First, an optimal mixing ratio scheme was determined based on the Horsfield close-packing theory, and coal briquettes were prepared at different temperatures using an independently developed hot pressing system. Subsequently, the microstructure evolution patterns of the hot-pressed coal briquettes were characterized using an X-ray diffractometer (XRD), an X-ray photoelectron spectrometer (XPS), a …

Evolutionary Characteristics And Fine-Scale Zoning Of Overburden Fractures For Pressure-Relief Mining Of Soft Coal Seams, Wang Long, Deng Zhiliang, Zhang Zongxiang, Guo Baohua, Tan Hongchen, Zhao Pengtao, Hu Longsheng

Coal Geology & Exploration

Objective During the mining of coal seam groups, substantial gas is prone to rush into the mining face from adjacent coal seams through interconnected mining-induced fractures. This poses a threat to safe coal mining. Under pressure-relief mining of soft coal seams, their low permeability and high stress sensitivity present challenges to the successive mining of protective and protected coal seams. Specifically, mechanisms behind the overburden fracture evolution remain poorly understood, and it is difficult to identify preferential pathways for gas migration accurately. Methods This study investigated coal seam groups in the Jiahe mining area of Hunan Province as the engineering …

Spatial Topological Configurations Of Cleats And Geometrical Quantitative Characterization Of Matrix Blocks In Deep Coal Seams, Shen Jian, Li Wei, Tian Yongjing, Ma Tianyu, Zhang Hewei, Dong Jiying, Zhu Peipei

Coal Geology & Exploration

Objective Cleats in deep coal seams are characterized by strong heterogeneity, and their topological configurations, as well as their topological relationships with matrix blocks, remain poorly understood. On the other hand, the assumptions regarding the size and geometry of matrix blocks adopted in representative reservoir structure models and numerical simulations do not fully reflect actual reservoir conditions. Methods Deep coal cores collected from the northeastern Ordos Basin were investigated in this study. Using CT scanning and topological theory, a multi-dimensional topological parameter system was established to characterize cleats in deep coal seams. Furthermore, four topological configurations of cleats in deep …

Investigating Seepage In Rough Porous Media Fractures Using Fractional Brownian Motion Simulation, Liu Weitao, Kong Debin, Mao Qingfu, Zhao Jiyuan, Gu Yulong, Zhang Xiao

Coal Geology & Exploration

Background Natural rock fractures are often partially filled with permeable materials such as silt and minerals under long-term geological and hydraulic actions, forming complex structures containing unfilled voids. The seepage characteristics of such fractures significantly influence petroleum extraction, mine water prevention, and the stability of underground engineering projects. Methods To reveal the underlying seepage mechanisms, this study generated rough profiles of unfilled voids with different fractal dimensions based on Fractional Brownian Motion. A theoretical expression for the overall permeability of partially filled fractures was derived, and a coupled free flow–porous medium flow numerical model was established. This framework was used …

Key Technologies And Engineering Practices For Green Drainage Of The Jurassic Burnt Rock-Hosted Water In The Shenfu Mining Area, Ji Zhongkui, Mou Lin, Wang Hai, Zhu Kaipeng, Zhao Kaixing, Chen Pan, Xue Xiaoyuan, Han Qiang, He Bo, Wang Fuming

Coal Geology & Exploration

Objective In the northern part of Shaanxi Province, coal mining has led to a pronounced contradiction between coal mining and water conservation, along with a serious threat to China’s ecological redline. These challenges necessitate transforming the mine water drainage pattern in coal mines. Green mine water drainage represents a key approach to achieving coordinated coal-water production in areas containing burnt rocks. Methods Focusing on the conservation-oriented utilization of the Jurassic burnt rock-hosted water in a coal mine within the Shenfu mining area, this study explored a solution to coordinated coal-water production in areas affected by burnt rock-hosted water from the …

Selection And Verification Of Optimal Key Parameters Of Ultra-Wideband Radars For Life Detection In Coal-Rock Shielding Environments In Coal Mines, Huang Yuan, Zheng Xuezhao, Wen Hu, Jin Feiyang, Xu Chengyu, Liu Yin, Ding Wen

Coal Geology & Exploration

Objective and Methods Ultra-wideband (UWB) radars can transmit electromagnetic waves that penetrate coal and rock media, thereby addressing the challenge of detecting and localizing personnel trapped in shielding environments during mine collapse. However, key parameters for UWB radar detection are difficult to determine due to complex mine environments, diverse media, and unclear dispersion characteristics. To deal with this issue, this study determined the frequency-dependent dielectric properties of various coal and rock media, as well as human tissues, through experiments and fitting. In combination with actual rescue scenarios, this study established the electromagnetic equivalent model of shielding environments in coal mines. …

A Method Of Reflected In-Seam Wave Imaging Based On The Structural Similarity Index Of Adjacent Gathers, Wang Ji, Wei Zhongli, Ye Hongxing, Wu Guoqing, Liu Shuo, Niu Huan, Su Xiaoyun

Coal Geology & Exploration

Background Reflected in-seam wave detection represents a major method for exploring geological anomalies in underground coal mines. This method is well suited to detecting concealed structures (e.g., faults and collapse columns) within coal seams in the tunneling direction of roadways or along their side walls. In recent years, to meet the safety requirements of green mine construction, explosive sources have been substituted with mechanical hammer impacts in increasing reflected in-seam wave detection. However, compared to conventional explosive sources, hammer impacts exhibit significantly lower instantaneous energy intensity and consistency. These limitations lead to reduced quality of reflected in-seam wave imaging, thus …

Information Literacy Through Open Pedagogy: What’S The Role Of Ai Tools?, Virginia Clinton-Lisell

Education, Health & Behavior Studies Faculty Publications

Student engagement in developing open educational resources (OER; openly licensed materials without fees to access) may be critically important for sustainable higher education and for developing important skills. There has been substantial debate about the use of generative artificial intelligence (GenAI) for the sustainability of OER, but little empirical inquiry. In this quasi-experimental study in the United States, two sections of college students (N = 113) collaborated with their instructor to improve the sources cited in an OER textbook. In one section, students only used traditional library databases to find suitable sources (traditional; n = 55). In another section, students …

The Mundlak Estimator In A Panel Data Model With Serially Correlated Error Component Disturbances, Badi H. Baltagi, Long Liu

Center for Policy Research

This paper shows that the classic Mundlak (1978) result where the random effects estimator reduces to the fixed effects estimator when the regressors are all correlated with the individual effects, may not hold if the remainder disturbances have a general serial correlation variance-covariance matrix. This includes the popular AR(1), MA(1) and ARMA(p, q) processes for serial correlation. This is illustrated with an empirical example for the AR(1) case.