Digital Commons Network^™

Closing The Gaps: Reforming Maryland Controls On Veterinary Antimicrobial Distribution, Samantha Capaldo, Kerry Mcclaughry

Journal of Food Law & Policy

Antimicrobials have been used in livestock and other food animals in the United States (“U.S.”) since the late 1940s. An antimicrobial is “[a]ny natural, synthetic, or semisynthetic substance that can eradicate or prevent the growth of microbes,” including “[a]ntibacterial, antifungal, antiparasitic, and antiviral medications.” Antimicrobial use in food animals is subject to a complex statutory and regulatory framework at both the state and federal levels. Antimicrobial use in food animals has been widely criticized for contributing to antimicrobial-resistant bacterial infections in humans. In response to this criticism, the U.S. Food and Drug Administration (“FDA”) and several states, including Maryland, have …

Journal Of Food Law & Policy -Spring 2026, Journal Editors

Journal of Food Law & Policy

No abstract provided.

Exploring The Experiences And Challenges Of Librarians In Cataloguing Academic Resources In Public University Libraries In The Volta Region Of Ghana, Hawa Osman Dr, Joana Dango Mrs., Hannatu Abue Kugblenu-Mahama Dr

Library Philosophy and Practice (e-journal)

Purpose: This study explored the experiences of librarians involved in cataloguing academic resources and examined the challenges they face in public university libraries in the Volta Region of Ghana.

Methods: A qualitative research approach was adopted to gain in-depth insights into librarians’ lived experiences. The study was conducted at the University of Health and Allied Sciences (UHAS) Library and Ho Technical University (HTU) Library. A total of 30 participants were selected using purposive sampling, guided by Yamane’s formula for sample size determination. Data were collected through semi-structured face-to-face interviews and analyzed using thematic analysis with NVivo software. Ethical standards, including …

Supersymmetric Quantum Fields Via Quantum Probability, Radhakrishnan Balu

Journal of Stochastic Analysis

The super version of imprimitivity theorem is available now to describe global supersymmetry of systems using the representations of super Lie groups (SLG). This result uses the equivalence between super Harish- Chandra pairs and super Lie groups, at the categorical level, and is applicable to super Poincaré group and generalizes a smooth SI to super context. We apply the result to build supersymmetric quantum fields. Towards this end, we set up a super Fock space of a disjoint union of super Hilbert spaces which is equivalent to super tensoring of boson (even) part symmetrically and that of fermion (odd) part …

Convergence To Fractional Brownian Motion For Weighted Random Sums In Besov Space, Ibrahima Mendy

Journal of Stochastic Analysis

We consider infinite sums of weighted i.i.d. random variables, with finite variance and arbitrary distribution, and we derives conditions for the weak convergence in Besov space of normalized sums to fractional Brownian motion (fBm).

Pricing Variance Swaps Using Extended Heston Model, Semere Gebresilasie, Mulue Gebreslasie, Indranil Sengupta

Journal of Stochastic Analysis

Abstract. In this study, we introduce a variance swap for the underlying asset utilizing the Heston model, incorporating a long-term variance that is treated as a stochastic function of time. We develop a closed-form solution for the variance swap under this framework, where the log returns are driven by a compound Poisson process. Our analysis of historical data reveals that long-term variance is not constant; instead, it fluctuates over time, reflecting market dynamics more accurately. By integrating this time-varying long-term variance into the model, we achieve an improvement in prediction performance of approximately 60%. Furthermore, we perform model calibration using …

An Analysis Of Public Library Services For The Tribal Community In Rayalaseema Region With A Special Reference To Healthcare And Hygiene, P Ramu Naik, V. K. Dhanyasree

Library Philosophy and Practice (e-journal)

Public libraries have long been recognised as critical societal institutions, serving as information, education, and community engagement centres. In the context of tribal communities, their role in disseminating health information is particularly significant. Tribal populations often face unique health challenges and disparities, making access to accurate and reliable health information vital to their well-being. This study examines the pivotal role that public libraries play in disseminating health information to tribal people. The study is conducted among 13 branch libraries in the tribal areas of Rayalaseema region. A structured questionnaire was used for the survey. The results show that even though …

Tables Analytiques Des Titres Et Des Auteurs : Index Des Auteurs - Poej 1945-2010, Nada Corbani Akl, Abla Abi Nader

Proche-Orient, Études juridiques

No abstract provided.

Tables Analytiques Des Titres Et Des Auteurs : Index Des Titres - Poej 1945-2010, Nada Corbani Akl, Abla Abi Nader

Proche-Orient, Études juridiques

No abstract provided.

Tables Analytiques Des Titres Et Des Auteurs : Index Des Matières - Poej 1945-2010, Nada Corbani Akl, Abla Abi Nader

Proche-Orient, Études juridiques

No abstract provided.

Assessment Of Dihedral Angle Contribution To Roll-Stability Derivatives Using Datcom And Vlm Methods, Tarik Hassan Elsonni, Emad Qasem Hussein, Balsam H. Abed

Al-Farahidi Expert Systems Journal

This study investigates the lateral stability of a fixed-wing aircraft through the roll-moment stability derivative (C_lβ ), treated as the primary indicator of dihedral effect and overall roll stability. A coupled DATCOM-based analytical formulation and lifting-line/VLM modeling framework has been used to quantify the influence of the key geometric and aerodynamic parameters on the roll-stability derivative. Specifically, the influences of dihedral angle, angle of attack, and sideslip have been explored separately, followed by geometric factors such as aspect ratio, taper ratio, and sweep angle in a systematic way. It is observed that there is an increase in the dihedral angle …

At-Gpsr: Adaptive Trajectory To Support Geographic Routing Protocol In Uav Assisted Vanet, Bassam Hasan

Al-Farahidi Expert Systems Journal

Connectivity and data delivery latency in vehicular networks are strongly affected by the high dynamism of vehicular traffic, which depend on many random factors. Under the inevitable constraints imposed by road paths and free-flowing vehicular traffic conditions (e.g., low to medium vehicle density, high mobility, high speeds), these networks suffer from fast topology variations that lead to frequent disconnections. Consequently, communications experience increased data delivery latency. Establishing a connection between source and destination vehicles depends heavily on vehicle density along the road. UAV assistance becomes more necessary as vehicle density along the road decreases. Moreover, when a road segment is …

The Effect Of Heat Treatment On Mechanical And Physical Properties Of Hdpe Pipes For Drinking Water, Roya Noman

Al-Farahidi Expert Systems Journal

This research aims to investigate the effect of heat treatment on the physico-mechanical properties of HDPE pipes for drinking water. Pipe samples of varying thicknesses were subjected to heat treatment at temperatures of 60, 80, and 100°C for 2, 6, 24, and 48 hours. Experiments showed that regardless of the treatment temperature or time, some effect, however slight, will occur on the structure at the level of the amorphous transition regions. The longitudinal shrinkage values are clearly related to the heat treatment temperature. Treatments at 80°C showed an increase in some mechanical properties such as yield stress, necking stress, and …

Utilizing Bim Technology To Model The Engineering Systems Of The International Space Station, Lama Saoud, Fadi Kbeili

Al-Farahidi Expert Systems Journal

The usage of Building Information Modeling (BIM) technology significantly benefits the AEC industry due to the BIM's capability to solve many discrepancies and avoid risks during the design and execution stages. This has been made possible by BIM's ability to simulate any structure in the virtual environment. The International Space Station (ISS) is the largest engineering structure ever placed in space around the Earth. The ISS has faced many obstacles during the assembly and operation periods due to design discrepancies, as its various parts were designed by Russia, the United States, Europe, Japan, and Canada. This research aims to explore …

Comparison Of Textile-Reinforced Mortar And Ferrocement In Torsional Strengthening Of Rc Beams Using Finite Element Analysis, Roula Taha, Ihssan Tarsha, Muneeb Al-Allaf

Al-Farahidi Expert Systems Journal

Strengthening reinforced concrete (RC) elements is vital to rehabilitate aging infrastructure and adopting modern standards. While conventional designs focus on axial, shear, and bending forces, torsional moments become highly effective in specific beams. This study employs finite element analysis using ABAQUS to investigate effective strengthening strategies for enhancing the torsional performance of RC beams. Two strengthening systems, ferrocement and Textile Reinforced Mortar (TRM), were examined using two-sided and three-sided wrapping configurations. The numerical investigation evaluated torsional capacity, twist response, and crack propagation, with results compared to an unstrengthened control beam. The findings indicate that both strengthening techniques significantly improved stiffness …

Artificial Intelligence For Predictive Maintenance In Renewable Energy Assets: Wind Turbines, Solar Farms, And Energy Storage Systems, Bassam Rafea Hani, Ayman Abdulmajeed Radhi

Al-Farahidi Expert Systems Journal

The integration of Artificial Intelligence (AI) into predictive maintenance for renewable energy assets represents a significant advancement in modern energy management. This study reviews and analyzes AI applications in predictive maintenance across wind turbines, solar farms, and energy storage systems. It emphasizes the role of machine learning and deep learning algorithms in predicting failures before they occur, enhancing operational efficiency, and reducing maintenance costs. The paper also discusses challenges related to data quality, scalability, and system integration within renewable energy environments. Findings indicate that AI-based predictive maintenance significantly improves equipment reliability and system performance, paving the way toward smarter, more …

Dynamic Analysis Of The Rotary System With Elastically Coupled Drive And Working Rotors, Hassan Jamil Kouzy

Al-Farahidi Expert Systems Journal

The problems of designing high-speed textile rotary systems are related to the search for new design schemes and the development of effective methods. This paper examines the issues of reducing loads in the supports of a rotary system, the design contains a drive rotor and a technological working rotor connected to it by means of an elastic spherical hinge, which, depending on the purpose, can be made in the form of a spindle or spinning chamber. A new design scheme was proposed for a rotary system with elastically coupled drive and working rotors, and a dynamic analysis methodology for the …

Smart City Utopia: Between Marketing And Humanization ``Epistemological Reading'', Fidaa Faez Zayna

Al-Farahidi Expert Systems Journal

The review offers a critical reading of the politicization of contemporary urban problems. Recently, numerous headlines and ideas have emerged regarding the ongoing quest to meet planning standards that keep pace with significant developments in the special needs of the population, but this quest has not been neutral with respect to the main goal of achieving the ``humanization'' of the city's constituent elements. The review discusses whether Urban Media Marketing of the ``fashion'' of smart cities, smart planning and other attractive titles ``within the framework of ``Urban Marketing'' has produced cities that respect human privacy. The review also touches on …

Solving Some Heat Problems In The Sense Of The Non-Conformable Fractional Derivative By Using Modified Fourier Transform, Sami Injrou, Wadii Ali

Al-Farahidi Expert Systems Journal

In this paper, we present two new concepts in Fourier analysis: the Fourier series and the Fourier transform in the sense of non-conformable fractional calculus. Some of their main properties are proven. Using this new Fourier series, new approximations of some functions are given, a frequency spectrum of a signal is plotted, and several cases of the heat equations involving the time non-conformable fractional derivative are solved and graphically presented. Furthermore, the introduced new Fourier transform is used to solve a homogeneous space-time non-conformable fractional heat equation.

Agentic Ai Approach For Online Financial Fraud Detection, Shadi Saleh, Kelechi Osuji, Wolfram Hardt

Al-Farahidi Expert Systems Journal

As digital payment systems facilitate billions of transactions every day, there is a high probability of fraudulent activities in these systems. Traditional fraud detection systems, including rule-based systems and machine learning-based systems, have three major limitations: lack of explainability in terms of regulatory requirements, lack of contextual reasoning in terms of rare behavioral patterns, and lack of interaction with human experts in fraud analysis. This paper proposes a novel agentic framework in fraud detection systems by integrating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) in context-aware reasoning based on historical transaction evidence. The framework is designed as a system …

Machine Learning Based Approaches To Survey Elderly Adults About The Perception Of The Coronavirus Crisis, Ouban Wannous

Al-Farahidi Expert Systems Journal

The rapid digital transformation of society in recent years has resulted in the creation of vast databases available online, particularly benefiting businesses. The main challenge now is to effectively access and utilize this data to make informed business decisions. Artificial intelligence techniques, such as natural language processing and machine learning, have proven highly effective across various domains and present valuable opportunities for developing automated models to extract insights and uncover new information. This paper demonstrates the effectiveness of machine learning techniques in the field of social and economic sciences, focusing specifically on the task of classifying open-ended survey questions. We …

Computational Analysis Of A Single Air Bubble Rising In Quiescent Water Under Temperature Variations, Mokdad Hayawi Rahman, Muna Khalil Shehan, Emad Qasem Hussein, Farhan Lafta Rashid

Al-Farahidi Expert Systems Journal

Two-phase fluid flow is widely encountered in petroleum, chemical, nuclear, and energy applications. Computational fluid dynamics (CFD) by ANSYS Fluent 17.2 has been employed in this work to simulate the rise of a single air bubble through stagnant water at different temperatures (0 °C, 25 °C, and 50 °C). In addition, a user-defined function(UDF)was developed and implemented to incorporate phase-change behavior and temperature-dependent properties. This study investigates how the buoyancy-driven bubble dynamics will be responsive to changes in liquid viscosity, surface tension, and density. The results demonstrated that increasing the temperature of water enhances the bubble rise velocity significantly; the …

Enhancement Of Mechanical Properties In 7050 Aluminum Alloy Using Zirconia Nanoparticle Reinforcements, Ahmed A. Ebraheem, Tahseen F. Abbas, Talib A. Jasim

Al-Farahidi Expert Systems Journal

Aluminum metal matrix composites (AMMCs), particularly those reinforced with ceramic nanoparticles, are critical materials for aerospace, automotive, and defense applications due to their superior strength-to-weight ratio. This study investigates the effect of zirconia (ZrO₂) nanoparticles on the mechanical properties of a 7050 aluminum alloy matrix. Composites were fabricated via the stir-casting technique with ZrO₂ reinforcements incorporated at varying weight fractions (0, 1, 2, 3, and 4 wt.%). A comprehensive mechanical characterization was conducted, evaluating hardness, tensile strength, and surface roughness. The results demonstrate that the inclusion of ZrO₂ nanoparticles significantly enhances all measured properties. Hardness increased …

The Layered Knowledge Profile, Harendra A. Alwis Mr.

Defensive Publications Series

The Open Knowledge Format (OKF) gives the world a portable, vendor-neutral envelope for knowledge — markdown files with YAML frontmatter, cross-linked into a graph — and, by deliberate design, declines to specify how the knowledge inside that envelope should be organised, requiring only a single type field and defining the interoperability surface rather than the content model. The Layered Knowledge Profile (LKP) supplies the content model that OKF leaves open. It encodes, as machine-readable structure expressed entirely within OKF's own conventions, the asymmetric ontological dependency among the four realms of reality described by Alwis (2026), so that a body of …

Engineering Evaluation Of Post-Stroke Gait Using A Wearable G-Walk Sensor Under Different Ankle-Foot Orthosis Conditions: A Longitudinal Case Study, Mohamed Sattar Jabbar, Ammar Issam Kubba

AUIQ Technical Engineering Science

The gait profile of post-stroke patients is typically one of reduced speed, asymmetry and decreased functional mobility. Ankle–foot orthoses (AFOs) are commonly prescribed to enhance gait stability and promote safer ambulation; however, within-person longitudinal gait changes across multiple orthotic conditions have not yet been quantitatively characterized using wearable motion analysis systems. The objective of this study was to perform a longitudinal assessment of spatiotemporal gait parameters through a wearable G-Walk inertial measurement unit (IMU) with three walking conditions: without orthosis, Conventional custom-made ankle foot orthosis AFO and Prefabricated posterior leaf spring AFO. Two functional tasks, normal walking and Timed Up …

Author Biographies, Obsculta Editors

Obsculta

No abstract provided.

A Dedication To Father Michael Patella, Osb, Shawn Colberg

Obsculta

In memory of his life and in honor of his enduring impact on the community, particularly at Saint John’s and throughout the Church and the world, the OBSCVLTA editorial team dedicates this volume to Father Michael Patella.

Stairs Into The Past, Doug Herbek

Obsculta

Mission Concepcion, San Antonio, Texas

Alumni Spotlight: Ezekiel Prophet Of Hope Address, Mark J. Seitz

Obsculta

This lecture was delivered by Bishop Mark J. Seitz upon receipt of the Ezekiel Prophet of Hope Award from Saint John’s University in August of 2025. The Ezekiel Prophet of Hope Award seeks to lift up alumni or alumnae of Saint John’s School of Theology and Seminary who have dynamically lived out the principles of collaboration and ecumenism that are at the heart of the mission and the Benedictine heritage of Saint John’s. Just as Ezekiel saw a splendid vision of the new and everlasting temple, modern prophets off er us new and sustainable visions for the church.

A Bar To Entry, Doug Herbek

Obsculta

US Mexico Border Wall