Digital Commons Network^™

Agripestdatabase-V1.0: A Structured Insect Dataset For Training Agricultural Large Language Model, Yagizhan Bilal Durak, Ashley Morgan-Olvera, Ahsan Ul Islam, Iftekhar Ibne Basith, Shahidul Islam, Syed Hasib Akhter Faruqui

Artificial Super Intelligence (ASI) Conference

Agricultural pest management increasingly relies on timely and accurate access to expert knowledge, yet high quality labeled data and continuous expert support remain limited, particularly for farmers operating in rural regions with unstable or no internet connectivity. At the same time, the rapid growth of artificial intelligence (AI) and large language models (LLMs) has created new opportunities to deliver practical decision support tools directly to end users in agriculture through compact and deployable systems. This work addresses (i) generating a structured insect information dataset to be used for LLM training, and (ii) adapting a lightweight LLM model (<= 7B) by fine tuning it for possible future edge device uses in agricultural pest management. The textual data collection was done by reviewing and collecting information from available pest databases and published manuscripts on nine selected pest species. These structured reports were then reviewed and validated by a domain expert. From these reports, we constructed question-answer (Q/A) pairs to support model training and evaluation. A LoRA-based fine-tuning approach was applied to multiple lightweight LLMs and evaluated. Initial evaluation shows that Mistral 7B achieves an 88.9% pass rate on the domain-specific Q/A task, substantially outperforming Qwen 2.5 7B (63.9%), and LLaMA 3.1 8B (58.7%). Notably, Mistral demonstrates higher semantic alignment (embedding similarity: 0.865) despite lower lexical overlap (BLEU: 0.097), indicating that semantic understanding and robust reasoning are more predictive of task success than surface-level conformity to reference text in specialized domains. By combining expert organized data, well structured Q/A pairs, semantic quality control, and efficient model adaptation, this work contributes towards providing support for farmer facing agricultural decision support tools and demonstrates the feasibility of deploying compact, high-performing language models for practical field-level pest management guidance.

Bridging Economic Growth And Literacy: Mediation–Moderation Pathways Linking Agriculture, Environment, And Poverty Reduction Across Asian Economies, Muhammad Abubakar, Wasim Abbas Shaheen, Umair Umer

Business Review

In the framework of reducing poverty, this study explores the numerous connections between economic, environmental, and agricultural aspects, paying particular attention to the moderating role of literacy. The Study aims to assess how agricultural employment, arable land, forest area, fertilizer usage, and ecological resources shape poverty outcomes in Asia. Utilizing panel data from 46 nations between 2000 to 2023, sourced from the World Development Indicators, the analysis applies advanced econometrics such as FMOLS and DOLS, alongside a panel co-integration framework validated through panel unit root and cointegration tests. Results indicate that agricultural employment significantly reduces poverty, arable land has mixed …

Implementation Of A Human Donor Breastmilk Education Program On The Usage Rates Of Pasteurized Human Donor Breastmilk For Supplementation Of Breastfed Infants In The Well-Baby Nursery, Nicole Sadorra

Doctor of Nursing Practice Projects

Background: Exclusive breastfeeding provides significant health benefits for infants and lactating individuals; however, national rates remain below Healthy People 2030 targets. Evidence suggests that infants supplemented with pasteurized human donor breast milk (HDBM) during postpartum hospitalization have higher exclusive breastfeeding rates at discharge and at six months. At a suburban Maryland hospital, formal HDBM education was not routinely provided, contributing to low utilization and stagnant breastfeeding rates.

Purpose: To determine whether implementing a structured HDBM education program for postpartum parents increases HDBM supplementation among breastfed infants and improves exclusive breastfeeding rates at discharge.

Methods: This pre-/post-test quality improvement project was …

Fcrh Honors Program: 2025-26 Year In Review, Fcrh Honors Program

FCRH Honors Program Newsletters and Reports

No abstract provided.

تقييم أثر تطوير محاور الحركة على المرونة الحضرية في المناطق ذات القيمة – حالة دراسية "مصر الجديدة", Maha Abdel Sattar

Emirates Journal for Engineering Research

ملخص

برزت قضايا تجديد البنية الأساسية للتنقل الحضري في محافظة القاهرة كأحد محاور تحقيق استراتيجية التنمية لعام 2030، وهى استراتيجية حملت أهدافا قومية واعدة لتحسين وتقوية البنية الأساسية ورفع مستوى جودة الحياة الحضرية، حيث بدأت الحكومة في تنفيذ خطة تطوير شاملة في حي مصر الجديدة. تهدف إلى حل مشكلة الازدحام المروري وربط المحاور الرئيسية للقاهرة بشكل أفضل بالمدن الجديدة في الشرق. ومن أجل تحقيق هذا الهدف اتخذت الحكومة إجراءات تطوير تركز على توسيع الطرق وتوفير المزيد من المساحة لاستيعاب تدفق المرور وبناء الكباري العلوية.

يهدف هذا البحث إلى استكشاف العلاقة بين السمات والملامح التصميمية لشبكات الطرق في المناطق الحضرية، وبين …

When The Weeds Strike Back: Rethinking Aphis's Regulation Of Genetically Engineered Plants Post-National Family Farm Coalition V. Vilsack, Reagan Powers

Celebrating WCL Student Authors

No abstract provided.

Una Aproximación A La Ia En La Educación Centrada En El Cuidado Para Fomentar La Confianza Y La Motivación Académicas, Izabella Sabharwal De Bessenyey

The International Journal of Ethical Leadership Special Volumes

No abstract provided.

D’Une Approche De L’Ia Éducative Axée Sur La Bienveillance Pour Encourager La Confiance Personnelle Et La Motivation Dans Les Études, Izabella Sabharwal De Bessenyey

The International Journal of Ethical Leadership Special Volumes

No abstract provided.

A Care-Centred Approach To Ai In Education To Cultivate Academic Confidence And Motivation, Izabella Sabharwal De Bessenyey

The International Journal of Ethical Leadership Special Volumes

No abstract provided.

Mitigating Renewal Risk In Banks: An Analysis Of Ai Adoption, Customer Loyalty And Macroeconomic Conditions, Mackenzie M. Cauthorn

ASPIRE 2026

Renewal risk, the uncertainty surrounding whether customers will continue existing financial relationships such as loans, deposits, credit lines, or insurance products, poses a growing challenge for modern banks because customer retention is critical for revenue stability, cross-selling opportunities, and long-term profitability. This study examines how the adoption of artificial intelligence (AI) in banking interacts with macroeconomic conditions to influence renewal risk and customer attrition. Specifically, the research addresses three primary questions: (1) whether macroeconomic conditions, such as perceived economic health, inflation concerns, unemployment expectations, and personal financial confidence, affect the likelihood and timing of banking product renewal; (2) how AI …

Casa Milá As A Sensory Laboratory A Neuroarchitectural Approach To Gaudí'S Modernism, María Beltrán Rodríguez, Chloe Sharpe, Alejandro Martínez González, Ivette Caldelas

Artículos científicos

This paper examines Antoni Gaudí’s Casa Milà (La Pedrera) through the lens of neuroarchitecture, exploring how form, light, and texture shape perception and emotional response. Integrating architectural analysis with neuroscience, it proposes an experimental framework combining EEG, eye-tracking, and behavioral data to assess spatial experience within immersive environments. By linking formal complexity to cognitive and physiological responses, the study reveals how Gaudí’s architecture transcends aesthetics to engage the brain’s sensory and emotional systems. The approach positions his work as a bridge between art, science, and urban creativity, expanding our understanding of architecture as a multisensory cognitive phenomenon.

Copley Connects | Fall 2025/Spring 2026, University Of San Diego

Copley Connects Library Newsletter

Message From the Dean | 3
Writing in Visual Form: noé olivas’ Neon Art Installation | 4
San Diego’s French Connection | 6
Instagrammable Moments: A Librarian’s Reflections on San Diego and USD | 8
Copley Celebrates the 3rd Annual Filipino American History Month Event | 10
Banned Books Week | 10
Copley Library Hosts the Inaugural Student Success Symposium | 11
Veterans/Armistice Day: Veterans for Peace Visit Copley Library | 11
UDEM and USD Sign Sister Libraries MOU | 12
Cruising Through History: The Lowrider Stamp Unveiling | 13
Copley Reads | 14
Cultural Mosaic: Celebrating Asian American and …

Scdi X Mass Timber: Design Optimization, Emily Leane, Ifran Mohamed, Jacey Niiya, Gabriela Valle

Civil, Environmental and Sustainable Engineering Senior Theses

The Civil Engineering industry is a major contributor to global carbon emissions, creating a need for more sustainable structural alternatives to traditional steel and concrete systems. This project investigates the feasibility of redesigning the gravity structural system of Santa Clara University’s Sobrato Campus for Discovery and Innovation (SCDI) using mass timber. By replacing the original steel and concrete gravity system with cross-laminated timber (CLT) floor panels and glue-laminated timber (glulam) beams and columns, the study explores how mass timber can impact structural design, constructability, cost, schedule, geotechnical demand, and sustainability. The redesign maintains the original structural grid and loading assumptions …

Logistics Center: Sustainable Design Build, Dylon Moala, Daryn Nguyen, Andrew Sabuda, Gage Urbach, Nicolae Vesca

Civil, Environmental and Sustainable Engineering Senior Theses

The Cal Centre Distribution Center is a proposed 4,000,000 square foot, four (4) warehouses total, e-commerce warehouse and logistics facility located along Interstate 5 (the I-5) in Kern County, California. The site occupies a very strategic location for overall distribution logistics of the Western United States being close to the Port of Los Angeles allowing for 65,000,000 people to be reached within a two (2) day truck turn. The site also addresses the local economic needs of Kern County and the greater Bakersfield area. Ranking as one of the highest functional unemployment rates among cities, this site will provide approximately …

Conflogger: Enhance Systems’ Configuration Diagnosability Through Configuration Logging, Shiwen Shan, Yintong Huo, Yuxin Su, Zhining Wang, Dan Li, Zibin Zheng

Research Collection School Of Computing and Information Systems

Modern configurable systems offer customization via intricate configuration spaces, yet such flexibility introduces pervasive configuration-related issues such as misconfigurations and latent softwarebugs. Existing diagnosability supports focus on post-failure analysis of software behavior to identify configuration issues, but none of these approaches look into whether the software clue sufficient failure information for diagnosis. To fill in the blank, we propose the idea of configuration logging to enhance existing logging practices at the source code level. We develop ConfLogger, the first tool that unifies configuration-aware static taint analysis with LLM-based log generation to enhance software configuration diagnosability. Specifically, our method 1) identifies …

Propaganda Ai: An Analysis Of Semantic Divergence In Large Language Models, Nay Myat Min, Long H. Pham, Yige Li, Jun Sun

Research Collection School Of Computing and Information Systems

Large language models (LLMs) can exhibit concept-conditioned semantic divergence: common high-level cues (e.g., ideologies, public figures) elicit unusually uniform, stance-like responses that evade token-trigger audits. This behavior falls in a blind spot of current safety evaluations, yet carries major societal stakes, as such concept cues can steer content exposure at scale. We formalize this phenomenon and present RAVEN (Response Anomaly Vigilance), a black-box audit that flags cases where a model is simultaneously highly certain and atypical among peers by coupling semantic entropy over paraphrastic samples with cross-model disagreement. In a controlled LoRA fine-tuning study, we implant a concept-conditioned stance using …

Where Did It Go Wrong? Attributing Undesirable Llm Behaviors Via Representation Gradient Tracing, Zhe Li, Wei Zhao, Yige Li, Jun Sun

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) have demonstrated remarkable capabilities, yet their deployment is frequently undermined by undesirable behaviors such as generating harmful content, factual inaccuracies, and societal biases. Diagnosing the root causes of these failures poses a critical challenge for AI safety. Existing attribution methods, particularly those based on parameter gradients, often fall short due to prohibitive noisy signals and computational complexity. In this work, we introduce a novel and efficient framework that diagnoses a range of undesirable LLM behaviors by analyzing representation and its gradients, which operates directly in the model's activation space to provide a semantically meaningful signal linking …

Llmqua: Practical Backdoor Injection On Large Language Model Quantization, Xiangxiang Chen, Peixin Zhang, Jun Sun, Jin Song Dong, Wenhai Wang, Jingyi Wang

Research Collection School Of Computing and Information Systems

Quantization is widely used to enable local deployment of large language models (LLMs) on resource-constrained devices. Recent work (e.g., QuRA) shows quantization can be exploited via rounding manipulation to implant backdoors. However, such an attack has been evaluated only on small models and does not directly apply to LLMs due to three key constraints: (1) limited poisoning data from small, task-agnostic calibration sets; (2) layer-wise quantization restricting adversarial access to global representations; and (3) lack of gradient access in quantization pipelines, blocking gradient-based attacks.We propose LLMQuA, a practical quantization-phase backdoor attack tailored to the LLM setting. LLMQuA (i) injects backdoors …

Prompting Frameworks For Large Language Models: A Survey, Xiaoxia Liu, Jingyi Wang, Jun Sun, Xiaohan Yuan, Guoliang Dong, Peng Di, Wenhai Wang, Dongxia Wang

Research Collection School Of Computing and Information Systems

Since the launch of ChatGPT, a powerful AI Chatbot developed by OpenAI, large language models (LLMs) have made significant advancements in both academia and industry, bringing about a fundamental engineering paradigm shift in many areas. While LLMs are powerful, it is also crucial to best use their power where “prompt” plays a core role. However, the booming LLMs themselves, including excellent APIs like ChatGPT, have several inherent limitations: (1) temporal lag of training data, and (2) the lack of physical capabilities to perform external actions. Recently, we have observed the trend of utilizing prompt-based tools to better utilize the power …

Bridging Bug Localization And Issue Fixing: A Hierarchical Localization Framework Leveraging Large Language Models, Jianming Chang, Xin Zhou, Lulu Wang, David Lo, Bixin Li

Research Collection School Of Computing and Information Systems

Automated issue fixing is a critical task in software debugging and has recently garnered significant attention from academia and industry. However, existing fixing techniques predominantly focus on the repair phase, often overlooking the importance of improving the preceding bug localization phase. As a foundational step in issue fixing, bug localization plays a pivotal role in determining the overall effectiveness of the entire process. To enhance the precision of issue fixing by accurately identifying bug locations in large-scale projects, this paper presents BugCerberus, the first hierarchical bug localization framework powered by three customized large language models. First, BugCerberus analyzes intermediate representations …

The Canon, Spring 2026, Dordt University

Dordt Canon

• Stream of Consciousness by Gabriella Micheel
• I saw a whale in the sky by Hannah Mulder
• A woman like the one who raised me by Grace Bruin
• Summer on the Farm by Sophie Memmelaar
• Gift by Malachi Myers
• Let The Mountains Rejoice by Mackenzie Gossman
• Sewn From Scrap by Sophie Memmelaar
• Coffee with the Grim Reaper by Gabriella Micheel
• What I Never Really Got to Say by Malahi Myers
• Fluttering Light by Bria Alpaugh
• Mabel by Amalia Visser
• Master and Apprentice by Billy Varble
• King Hero by Emma Anderson
• Champ by Tim DeVries
• Afraid of the Dark by Grace Bruin …

Neuroplasticity And Motor Recovery After Stroke: How Timing, Dosage, And Behavioral Practice Shape Rehabilitation Outcomes, Seth Taukolo

Mentorship Program 2025-2026

No abstract provided.

Entomo-Composting Of Plantain Stems Using Black Soldier Fly Larvae, Kl Njoku, Cj Okonkwo, Cd Okoye

Journal of King Abdulaziz University: Meteorology, Environment and Arid Land Agriculture

Food safety and security are major global concerns. Given the growing global population and limited available resources, a sustainable and stable food supply is essential. An environmentally friendly soil amendment (compost) is required to improve soil fertility and food security. This study investigated the use compost of Black Soldier fly larvae as natural substitutes for artificial fertilizers. The research was conducted by feeding different proportions of Black Soldier Fly larvae either plantain stem or a mixture of plantain stem and with plantain stem and plantain stem mixed with cow dung for 21 days. The amount of nutrients in the compost …

Digital Platform Participation, Service Innovation, And Retailer Growth Performance, Xueqiang Chen

Dissertations and Theses Collection (Open Access)

The rapid expansion of the digital economy has fundamentally transformed how firms create and deliver value. As a core infrastructure of the digital economy, digital platforms are reshaping firms’ business activities and market interactions. For brand firms that rely heavily on channel systems, retailers play a dual role as both product distributors and critical interfaces with end customers. However, the rise of digital platforms has significantly altered the operating environment of retailers. While digital platforms provide new channels, they also require retailers to adapt by reconfiguring their business models and service offerings. Although digital platform participation has become increasingly common, …

Completions 2025-26, Southwestern Oklahoma State University

IPEDS

Welcome to the IPEDS Completions survey component. The Completions component is one of several IPEDS components that is conducted during the Fall data collection period. Itcollects the number of degrees and certifi cates awarded by fi eld of study, level of award, race/ethnicity, and sex. The reporting period for the Completions component is during the 12-month time period beginning July 1 of the previous calendar year and ending June 30 of the current calendar year; therefore, for this year’s Completions component, the reportingperiod is between July 1, 2024 and June 30, 2025. The Completions component is also collecting the number …

Human Resources 2025-26, Southwestern Oklahoma State University

IPEDS

Welcome to the IPEDS Human Resources (HR) survey component. The HR component collects important information about your institution's staff.

Building A Better Faculty Management System: Insights From One Institution’S Experience, Myles Chandler, Enam Haddad, Jacqueline Hill

Presentations

Background: Faculty affairs and development offices frequently lack proper tools to quickly and accurately complete data-related tasks. While far from best practice, Excel is often the only tool available to teams to track faculty academic appointment history and contact information. Goal: To build a custom faculty management system that transforms our Excel-based faculty data into accurate, integrated data while avoiding excessive costs of external data system solutions. Approach: We built our own cloud-based faculty management data system that integrates with other institutional data systems and automates collection and reporting of faculty onboarding, appointment, and promotion data using Microsoft’s Model Driven …

2026 Commencement Program - Spring, Morehead State University. Registrar's Office.

Morehead State Commencement Programs

2026 Spring Commencement program for Morehead State University.

Research On The Impact Of Digital Transformation On Esg Performance Of Real Estate Enterprises, Lung Tim Tong

Dissertations and Theses Collection (Open Access)

In the era characterized by the dual carbon goals driving the green transformation of industries and the exponential growth of the digital economy, the real estate sector is at a critical transformation juncture. From a policy-oriented perspective, building codes and energy consumption quota standards issued by the Ministry of Housing and UrbanRural Development and other regulatory bodies have rendered it imperative for real estate enterprises to reduce carbon emissions throughout the entire building life cycle. From the market demand side, consumers' preference for green and intelligent living environments has compelled real estate firms to break through traditional development models. The …

A Study On The Capital Market Valuation Effects Of Corporate Ai Adoption: An Empirical Analysis Of Manufacturing Firms In China's A-Share Market, Libin Ma

Dissertations and Theses Collection (Open Access)

This dissertation examines whether and how corporate adoption of artificial intelligence (AI) affects capital market valuation in manufacturing firms. As AI is increasingly embedded in R&D design, production organization, supply chain coordination, and operational management, its value implications depend not only on whether firms adopt AI, but also on how AI is deployed within business processes. Existing research has mainly focused on productivity, innovation, labor substitution, and digital transformation, while the enterprise value consequences of differentiated AI application strategies remain insufficiently examined.

Using Chinese A-share listed manufacturing firms from 2015 to 2024 as the sample, this study identifies firm-level AI …