Digital Commons Network^™

From The Tropics To The Poles: Chemical Investigation Of Marine Invertebrates Through Elucidation And Synthesis, Benjamin Reed Smith

USF Tampa Graduate Theses and Dissertations

Society’s perpetual need for new disease treatments continuously leans on the shouldersof willing researchers. Even in modern day, many described diseases lack a cure or a symptomatic treatment; worse yet, the necessity for new drugs is amplified with rises in drug- resistant microbial infections, such as methicillin-resistant Staphylococcus aureus (MRSA). Historically, remedies and disease treatments have been rooted in the medicinal properties of plants and animals; naturally derived analgesics, like milk of the poppy or willow bark tea, date back thousands of years. With the developments of modern medicine, drug discovery, and natural product researchers found a wealth of potential …

Re: Approval Letter For The Final Repository Siting Study (Rss) Detailed Evaluation And Recommendations Report (Dated February 11, 2026), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Discrete Quantization On Spherical Geometries: Explicit Models, Computations, And Didactic Exposition, Mrinal Kanti Roychowdhury

School of Mathematical & Statistical Sciences Faculty Publications

This article presents a comprehensive and analytically explicit study of optimal discrete quantization on spherical geometries equipped with the geodesic metric. Focusing on highly symmetric configurations on the unit sphere 𝕊2, we investigate three explicit models of discrete uniform distributions and derive closed-form expressions for their optimal quantizers and corresponding mean square quantization errors. (I) For N equally spaced points on the equator, we obtain exact error formulas for both divisible and non-divisible cases 𝑛 ∤𝑁, demonstrating that optimal Voronoi cells form contiguous arcs with midpoint representatives. (II) For two antipodally symmetric small circles at latitudes ±𝜙0, each with M …

A Capability Maturity Model For Artificial Intelligence Integration In Supply Chain Management, Lordt Becklines

Dissertations

Artificial Intelligence (AI) is transforming Supply Chain Management (SCM), yet many organizations struggle to assess their readiness for AI adoption and to understand how AI capabilities develop across maturity stages. This dissertation addresses this gap by developing a Capability Maturity Model (CMM) for AI integration in SCM, grounded in Organizational Information Processing Theory (OIPT), the Resource-Based View, and related capability frameworks. The model provides a structured approach for evaluating an organization's information-processing requirements, resource configurations, and alignment needed for effective AI-enabled supply chain operations.

Using a design science research approach, the AI-SCM CMM and its associated assessment instrument were derived …

Faculty Readiness And Ethical Perceptions Of Artificial Intelligence Integration In Higher Education Teaching And Assessment, Ayesha Afzal, Shahid Rafiq, Aisha Sami

Higher Learning Research Communications

The rapid advancement of artificial intelligence (AI) technologies presents both transformative opportunities and complex challenges for higher education, particularly in teaching and assessment. This study examines the readiness of faculty members in Pakistani universities to integrate AI tools into pedagogical and evaluative practices, alongside their ethical perceptions of AI use in academic contexts. Using a qualitative research design, semi-structured interviews were conducted with 20 faculty members across diverse disciplines and institutions. Thematic analysis, guided by the Technology Acceptance Model (TAM), the Technological Pedagogical Content Knowledge (TPACK) framework, and Rest’s Four-Component Model of ethical decision making, revealed four interrelated themes: (1) …

Exploring The Role Of Higher Education Leaders In Quality Culture Development: A Mixed Methods Study, Eshetu Mandefro, Tesfaye Semela, Ashebir Bezabhi

Higher Learning Research Communications

Objectives: In higher education institutions (HEIs), building a strong quality culture (QC) is essential to ensure the quality of education provided. QC integrates organizational, managerial, and psychological elements that shape how quality is understood and improved in HEIs. This study explores how leaders at the departmental and faculty levels navigate and contribute to quality culture development (QCD).

Methods: We employed a sequential explanatory mixed-methods design. A total of 1,029 academics completed questionnaires, and 33 leaders at the departmental and faculty levels were interviewed at three public universities in Ethiopia.

Results: The findings reveal that leadership roles at the departmental and …

Short-Term Spark Or Long-Term Flame? Sustaining Academic Psychiatric Departments, Rohit Shankar, Richard Laugharne, Derek K. Tracy, Dinesh Bhugra

Peninsula Medical School

SummaryOver the past two decades, the number of academic psychiatrists in the UK has declined by more than a third, despite an expansion in medical schools and growth in most other medical academic specialties. Drawing on direct experience of establishing a new academic unit, we argue that the long-term sustainability of academic psychiatry departments is critical for service quality, innovation and talent development. This paper outlines the structural, cultural and strategic factors needed to create academic units that endure and flourish beyond individual careers, enabling better integration of research and clinical practice.

Meeting Specifications Of Sapo-34 Molecular Sieve With Multi-Templates For Mto Reaction: Kinetic And Experimental Study, Mazin Jasim Mohammed, Najwa Saber Majeed

Baghdad Science Journal

Light olefins become are important products for polymeric and petrochemical industries. Producing olefins from oil become ineffective due to highly production cost. An alternative method for producing olefins using methanol instead of oil source become an efficient process. SAPO-34 considered as a proper zeolite catalyst used in this field. For this purpose, there were many attempts to prepare it with microwave irradiation using DEA, TEA and MOR as templates. Fixed power of 800 W for 200 min was applied in crystallization step. XRD, BET, SEM, EDX, FTIR and TGA analysis were studied for preparing catalysts. XRD analysis showed that producing …

Autonomous Aesthetic Composition Via A Generative Model In A Robotic Control Loop, Rohit Sinha, Prathamesh Save, Kumar N. Dwarakanath

Defensive Publications Series

Automated camera systems may focus on geometric tracking without considering aesthetic composition, while certain aesthetic evaluation software may lack the physical agency to move a camera to create an improved image. Disclosed are systems and methods for a closed-loop control architecture that can integrate a mobile robotic platform, such as a drone or wheeled robot, with a generative cognitive agent. Such a system can operate through an iterative cycle where an image can be captured, the agent can provide a natural language critique and a corrective command based on a high-level subjective goal, and a local controller can translate the …

Agent-To-Agent (A2a) Artificial Intelligence (Ai) Bill Of Materials (Bom) Exchange And Policy Framework, Robert Barton, Barry Qi Yuan

Defensive Publications Series

The agent-to-agent (A2A) protocol lacks transparent, verifiable visibility into the artificial intelligence (AI) components driving counterpart behavior, such as large language models (LLMs), auxiliary agents, Model Context Protocol (MCP) servers, and downstream tools. Assessing risk, compatibility, and compliance amid dynamic runtime changes and opaque provenance becomes difficult, forcing organizations to either over-trust or restrict utility. The disclosed techniques augment the A2A protocol with an AI Bill of Materials (AI BOM) exchange that discloses component inventories, versions, provenance, and attestations; a policy engine that evaluates BOMs to approve, scope, or deny interactions; and selective disclosure to balance transparency with privacy. Sessions …

Arbitrase Dagang Internasional Dari Negara-Negara Asia Afrika, Prof. Dr. Mr. Sudargo Gautama

Jurnal Hukum & Pembangunan

Abstract

Strategies For Sustainable And Inclusive Outdoor Wayfinding In Healthcare Facilities: An Approach To Enhance User Experience At Kafr Alsheikh University Hospital, Egypt, Rania Abd Allateef Ghanam, Ahmed Salah El-Deep

Mansoura Engineering Journal

Outdoor wayfinding plays a critical role in shaping user experience in healthcare environments, where inadequate navigation can heighten stress and hinder timely access to care. Despite the presence of wayfinding systems in many hospitals, outdoor navigation remains underexamined and inconsistently addressed in design guidelines. This study fills this gap by investigating architectural strategies to enhance outdoor wayfinding and reduce user stress. The research focuses on Kafrelsheikh University Hospital in Egypt and applies a twophase methodology: (1) a comprehensive literature review to identify current principles, guidelines, and best practices in outdoor wayfinding, and (2) an on-site case study to assess existing …

The Impact Of Integrating Social Benefit Requirements For Urban Green Infrastructure And Place Identity Attributes To Enhance The Sense Of Place - Case Study Of Central Park, Madinaty, New Cairo City, Egypt, Ibrahim Magdi Mohammed, Rehab Abdelfatah Abdel Aziz Mahmoud

Mansoura Engineering Journal

This research develops an integrated model that links the social benefit requirements of Urban Green Infrastructure (UGI) with the non-physical attributes of Place Identity (PI) to enhance the Sense of Place (SOP) in contemporary urban environments. The need for this integration arises from limitations in current planning frameworks, which often prioritize ecological performance while overlooking cultural, perceptual, and behavioral dimensions that shape user attachment and belonging. The study adopts an inductive and synthesis-based approach to identify key UGI indicators across environmental, social, economic, and spatial dimensions, alongside PI attributes related to places’ legibility, uniqueness, publicness and territoriality, place’s identification. To …

Enhancing Thermal Energy Storage Efficiency Using Optimized Concrete Materials: A Review, Ahmed Mohamed Abbass, Ahmed M. El-Khayatt, Khaled A. Eltawil

Mansoura Engineering Journal

The increasing global energy demand and the environmental impact of fossil fuels necessitate the development of sustainable energy solutions. Solar energy is a promising alternative, but its intermittency and inefficiency limit its widespread adoption. This study explores the role of advanced concrete-based thermal energy storage systems in addressing these challenges. Key aspects examined include packing density optimization, high-temperature performance, and hydrothermal durability of concrete. The research highlights the importance of granulometric optimization, binder selection, and hydration mechanisms in enhancing concrete properties. Additionally, the effects of heat exposure on concrete durability, permeability, and mechanical strength are analyzed, with a focus on …

Optimized Thermal Management Of Cylindrical Lithium-Ion Batteries Using Circular Fins And Forced Air-Cooling, Mohamed M. Donia, Ahmed A. Hegazi, Mohamed A. Aziz, Osama Abdelrehim

Mansoura Engineering Journal

The Battery Thermal Management System (BTMS) is vital for maintaining the optimal performance, safety, and longevity of electric vehicle batteries by keeping their temperature within a desired range. This study proposes an optimized cooling solution for BTMS based on both experimental and numerical investigations. Experimental tests were performed on a single battery cell under discharging rates of 1C, 2C, 3C, and 4C using an electronic load, with thermal performance evaluated under natural convection. Numerical models simulating both forced and natural convection were developed using ANSYS 19.3, and a combined Computational Fluid Dynamics (CFD) and Response Surface Methodology (RSM) approach was …

Verification Of Offline Signature Based On A Hybrid Dense-Attention-Residual-Cnn Structure Optimized By Grey Wolf Algorithm, Zeyad T. Salim, Mahmoud M. Saafan, Eman M. El-Gendy

Mansoura Engineering Journal

Signature verification is a necessary vision task with prevalent use in securing realworld applications. Offline signature is a popular type that needs to efficacious approach to be checked due to the depending on the paper time and the written tool. The progress in intelligent algorithms participates in supporting simple way authentication-based signatures. In this research work, an offline signature verification (OSV) based on an optimized and costumed convolutional neural network(CNN) infrastructure is suggested. The CNN is costumed by integrating residual, dense, and attention mechanisms, then optimized by applying a grey wolf optimization(GWO) algorithm. The system is trained and tested with …

Laporan Lengkap Promosi Doktor Satjipto Rahardjo, S.H., Erman Radjagukguk, Budiman B. Sagala

Jurnal Hukum & Pembangunan

Abstract

Assessing The Geomechanical Modelling Of Underground Reservoir For Co₂ Storage Trapping Mechanisms, Bonavian Hasiholan, Mohammed Ali Farea, Elhassan Mostafa Abdallah, Sami Abdelrahman M. Yagoub, Yasir Mukhtar

Mathematical Modelling and Numerical Simulation with Applications

Effective carbon dioxide (CO₂) storage is essential for mitigating climate change amid increasing global greenhouse gas emissions. This study investigates the influence of geomechanics on CO₂ storage performance within carbon capture and storage (CCS), focusing on structural, residual, and solubility trapping mechanisms using a fully coupled modeling framework. Two numerical models, with and without geomechanical effects, are developed to evaluate impacts on reservoir behavior, CO₂ migration, and trapping efficiency. Each mechanism is analyzed separately and within an integrated framework to assess their combined contributions. Results indicate that geomechanical coupling increases reservoir pressure, reduces CO₂ flow velocity, enhances migration control, and …

A Coupled Fractional Thermistor System Demonstrating Existence, Uniqueness, And Simulation Results With Two-Point Boundary Conditions, Yahia Awad, Angela Khattar, Hussein Fakih, Sami Hammoud, Karim Amin

Mathematical Modelling and Numerical Simulation with Applications

This paper studies a coupled system of Caputo fractional differential equations of orders $\alpha, \beta\in(1,2]$, subject to two-point boundary conditions. The model incorporates nonlinear nonlocal integral terms that capture the memory-dependent interactions between thermal and electrical dynamics in thermistor materials. We rigorously establish existence via Schaefer’s fixed-point theorem and uniqueness through Banach’s contraction principle in a Banach space of continuous and continuously differentiable functions. Additionally, we analyze Ulam–Hyers stability to quantify solution sensitivity to initial perturbations. A numerical example highlights the effects of fractional orders and nonlocal feedback on system behavior. This work generalizes classical thermistor models and provides a …

Selenium-Thioredoxin Axis Contributes To Ferroptosis Resistance In Pancreatic Cancer Cells, Arslan Amer, Micah Olamide Idowu, Aqsa Ahsan, Alyssa A. Abbas, Tahiyat Alothaim, Xiaohu Tang

Michigan Tech Publications

Pancreatic ductal adenocarcinoma (PDAC) shows substantial heterogeneity in cysteine dependence and ferroptosis sensitivity. We identify two PDAC subtypes distinguished by EMT status: mesenchymal-like cells are highly cysteine-dependent and rapidly undergo ferroptosis upon cystine deprivation or system xc⁻ inhibition, whereas epithelial-type cells are ferroptosis-resistant. Selenium supplementation protects cells from erastin-induced ferroptosis, and this protection persists even when intracellular glutathione (GSH) is depleted, supporting an additional GPX4-independent protective mechanism. Sepp1 knockdown does not alter sensitivity, indicating that selenium’s protective effect is independent of Sepp1. Instead, epithelial-type cells rely on both cytosolic and mitochondrial thioredoxin reductases (TrxR1 and TrxR2) to maintain ferroptosis …

Engineers Week 2026, Raquel Estrada

Library Display Posters

Poster showing a curated selection of engineering‑focused resources that showcase student research, faculty scholarship, and U.S. government information. This poster features selected books, open‑access UTRGV theses and dissertations, peer‑reviewed articles, and educational resources that support engineering education, research, and innovation.

The Role Of Motion Graphics In Enhancing The Effectiveness Of Infographics Design, Hussein Mohammad Al-Omari

Middle East Journal of Communication Studies

An infographic's primary objective is to satisfy the demands and expectations of its audience by presenting information in a logical and intelligible way. Recent developments in graphic design techniques have made several intricate techniques approachable by artists and designers, elevating the design process to a sophisticated profession that transcends media boundaries. Static infographics and animated infographics feature the same material; however, animated infographics have the benefit of displaying information via continuous motion and animated sequences rather than in static components or separate stages, and that’s because of the special features of animation, which attract a wider audience. They are also …

Explainable Multi-Modal Deep Learning For Transparent Cancer Diagnosis: Integrating Radiology, Clinical Features, And Decision Visualization, Sital Dash, Laxmi Bewoor, Yashwant Dongre, Amol Bhosle, Kailas Patil, Shrikant Jadhav, Banani Mohapatra, Bhavnish Walia

Faculty Research, Scholarly, and Creative Activity

Introduction: Although artificial intelligence–based cancer diagnostic models have demonstrated strong predictive performance, their lack of transparency and reliance on single-modality data continue to limit clinical trust and adoption. Effectively integrating multi-modal data with interpret-able decision-making remains a key challenge. Methods: We propose an explainable multi-modal deep learning framework that integrates radiological imaging and structured clinical features using attention-based fusion. Image-level explanations are generated using Grad-CAM++, while SHAP is employed to quantify clinical feature contributions, enabling unified and cross-modal aligned interpretation rather than independent uni-modal explanations. The framework was evaluated on publicly available datasets, including CBIS-DDSM mammography, Duke Breast Cancer MRI, …

Acute Effects Of Carbon Fiber Plate Insoles On Drop-Jump Performance And Force Characteristics In Recreationally Trained Adults, Becca Henicke, Boram Lim

International Journal of Exercise Science: Conference Proceedings

Carbon fiber plate insoles (CFPI) are designed to increase footwear stiffness and may improve elastic energy utilization during human locomotion. However, most research has focused on CFPI effects in running and sprinting, particularly endurance running, with limited evidence examining their impact on plyometric performance that relies heavily on the stretch-shortening cycle (SSC), a key mechanism underlying many sports movements.  Because SSC involves a rapid eccentric-to-concentric transition that stores and releases elastic energy, the drop jump provides a practical model to assess SSC efficiency with and without CFPI. PURPOSE: To examine the effects of CFPI on SSC efficiency and jump …

The Role Of Artificial Intelligence In Macroeconomic Forecasting: A Systematic Literature Review, Thura J. Mohammed, Xinying Chew, Khai Wah Khaw

AUIQ Humanities and Social Sciences

Macroeconomic forecasting remains difficult because aggregate dynamics are nonlinear, regime-dependent, and increasingly informed by high-dimensional, mixed-frequency data, conditions under which traditional econometric models often lose accuracy, especially around turning points. This study systematically reviews how artificial intelligence (AI) is being used to address these challenges and what reliable evidence exists on its forecasting value. Using a PRISMA-aligned protocol, we searched Web of Science, Scopus, and ScienceDirect, identifying 1,627 records; after de-duplication and multi-stage screening, 178 studies were retained for qualitative synthesis. The review develops an evidence-based taxonomy of AI model families in macroeconomic forecasting and synthesizes their motivations, performance patterns, …

Grove Scholars Endowment Honors Development Officer, Bill Dabney

University of Mississippi News

OXFORD, Miss. – University of Mississippi alumni Johnny McRight, of Greenville, and Renvy Pittman, of Los Angeles, have established an endowment to honor an Ole Miss development officer admired for helping launch the Grove Scholars program and many other financial-assistance initiatives to benefit students.

Stress-Induced Bandgap Modulation In Semiconductor Quantum Wells, Saurabh Singh, Fuqian Yang

Chemical and Materials Engineering Faculty Publications

Strained semiconductor quantum wells have been an active area of research for more than three decades. However, a major part of the reported literature has shown a core focus on the theoretical and experimental investigations of their energy band structures under different internal and external perturbations, taking strain parameters as the basis and studying their resulting effects on various optoelectrical properties of the strained quantum wells. However, since stress parameters can be measured more easily and with an enhanced level of accuracy compared to strain parameters, developing a stress-based analytical framework offers distinct advantages. This study focuses on the theoretical …

Positive Solutions For Nonlinear Fractional Differential Equations With A Disturbance Parameter On An Infinite Interval, Zhaocai Hao, Lu Song, Martin Bohner, Qianqian Gu, Panzhen Liu

Mathematics and Statistics Faculty Research & Creative Works

This paper studies a class of integral boundary value problems of fractional differential equations with a disturbance parameter on an infinite interval. By applying the upper-lower solution method and fixed point index theory, the influence of the disturbance parameter on the existence of positive solutions is rigorously analyzed. We have obtained that the boundaryvalue problem admits at least twopositive solutions, one positivesolution or no solution. An example is provided to validate the results. The results of this study provide a significant complement and refinement to some existing findings.

Learning To Learn: The Value Of General Education Courses, Trefor Szabo

Fresh Voices: Composition at Cal Poly

No abstract provided.

3d Bioprinting: The Best Solution To The Organ Shortage, Kristin Abele

Fresh Voices: Composition at Cal Poly

No abstract provided.