Digital Commons Network^™

The Soil Crisis In Modern Food Systems: Rethinking Agricultural Land Use, Antonia Moure Richard

Journal of Food Law & Policy

Feeding a larger world while preserving the resource that makes agriculture possible—soil—poses a governance problem. By 2050, food systems must support 9.8 billion people even as prevailing practices continue to degrade soils that are non-renewable on human timescales. Technological fixes (e.g., vertical farming, hydroponics) may complement production, but they cannot substitute for soil at scale. The question that follows is simple: are current uses of soil compatible with the future needs of food systems? This article argues that without a shift in governance, short-run productivity gains are achieved by drawing down the soil asset, thereby undermining long-run food security and …

Contents, Journal Editors

Journal of Food Law & Policy

No abstract provided.

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 …

Le Régime Juridique De La Tacite Reconduction En Droit Libanais, Krystel El Hajj

Proche-Orient, Études juridiques

No abstract provided.

Le Droit Au Travail Dans Les Pays Du Moyen-Orient, Georges Kadige

Proche-Orient, Études juridiques

No abstract provided.

La Résolution Des Conflits Positifs De Nationalités En Droit International Privé Libanais, Lina Charbel

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.

De La Forme Significative Dans Le Discours Juridique : Contribution À La Méthodologie Du Droit, Nada Kfouri Khoury

Proche-Orient, Études juridiques

No abstract provided.

Le Parlement Arabe, Gilbert Aoun

Proche-Orient, Études juridiques

No abstract provided.

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 …

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 …

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 …

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 …

Reputation-Based Admission Control For Cryptographic Inventory Leases, N/A

Defensive Publications Series

In online shopping, autonomous agents can find items much faster than a person can confirm a purchase. However, simply letting these bots hold items can lead to "denial-of-inventory" attacks where bad actors lock up all the stock. This system uses a reputation score to manage these temporary holds. An agent's eligibility to reserve an item, such as through a cryptographic lease, depends on its history. The score is updated based on whether the agent actually completes its purchases or just lets reservations expire. By linking access to proven reliability, this approach helps stop malicious bots while still allowing helpful shopping …

Just-In-Time Generation And Enforcement Of Ephemeral Security Policies From Autonomous Agent Intent, Abhinash Kumar Giri

Defensive Publications Series

In the field of autonomous agents, static security policies may be overly permissive, creating security risks, or overly restrictive, hindering agent functionality. Systems and methods are described for the just-in-time generation of security policies. A system can obtain an autonomous agent's declared intent for a specific action, for example, from a reasoning trace or a structured declaration. This high-level intent may then be translated into a temporary and kernel-enforceable capability profile that is active for a limited duration, such as for a single action. After the action completes, the temporary permissions can be invalidated. This approach can create ephemeral, least-privilege …

Method And System For Independent Supervision Of Critical Actions, Anonymous

Defensive Publications Series

A system for an industrial plant, such as a drilling rig, in which an independent safety controller and safety relay, governed by a manually actuated, network-isolated operating device, isolate a critical valve from the connected control system. This prevents unauthorised or remote change of essential functions such as heave compensation and riser tensioning, including via cyber-attack.

Rewarding User Engagement Through Dynamic Storage Grants, Ashwin Goyal, Nick Staubach

Defensive Publications Series

Media library applications allow users to use cloud storage for photos, videos, or other media, and provide features for editing and social sharing of media, media-based creations, etc. In many cases, such applications provide a free storage tier and charge payments to access additional storage. User engagement can fall when storage quotas run out. This disclosure describes techniques to improve user attention and engagement for such applications. Per the techniques, users can earn cloud storage space by undertaking certain activities within the application, such as capturing or uploading images or videos. By providing cloud storage as a reward, the features …

Unified Cognitive Architecture For Distributed Manifold Reasoning Systems, Donevin Frownfelter

Defensive Publications Series

Donevin Frownfelter ([email protected])

This disclosure describes a unified cognitive architecture that integrates three complementary systems—VESPER, NEPHILIM, and the Unified Agent Reasoning Model (UARM)—into a single operational framework for distributed reasoning, semantic computation, and multi‑device intelligence. The architecture introduces a manifold‑based cognitive substrate, enabling agents to perform reasoning as transformations across a non‑Euclidean semantic space rather than through traditional symbolic or statistical pipelines.

The system employs a tensor‑manifold representation for knowledge, a Majorana‑parity logic layer for reversible inference, and a distributed execution mesh that allows heterogeneous devices to participate in a shared cognitive topology. VESPER provides the laminar reasoning core, NEPHILIM …

Minimal-Disclosure Presence Notification Of At-Risk Road Users On Local Streets, Kota Imayama

Defensive Publications Series

This disclosure describes a method for warning vehicles that an at-risk road user (such as a child, an older adult, or a person who is deaf or blind) is likely present on a low-speed local street, without revealing the individual's identity or even their vulnerability category. An opt-in device or function emits no identifier and no vulnerability fact; presence is spatially and temporally rounded, aggregated under a k-anonymity threshold, and delivered to vehicles as a coarse area-level caution flag over existing navigation or roadside infrastructure. The document enumerates device form factors, anonymization techniques, delivery paths, false-positive suppression, and a bidirectional …

Author Biographies, Obsculta Editors

Obsculta

No abstract provided.

Developing Robust Human Formation For Ministerial Training, Mary L. Parks

Obsculta

The Apostolic Exhortation Pastores Dabo Vobis recognizes that effective ministerial formation is holistic, attending to all aspects of a minister’s being. The document therefore outlines four pillars of formation: human, spiritual, intellectual, and pastoral. In Co-Workers In the Vineyard of the Lord, the United States Conference of Catholic Bishops (USCCB) extends the same four pillars of formation to the development of lay ecclesial ministers. The USCCB also applies these pillars to diaconal formation in The National Directory for the Formation, Ministry, and Life of Permanent Deacons in the United States of America.

The Incomprehensible God Who Wants To Reveal: Exodus 40 And Sirach 24, Gilbert Perez

Obsculta

God's transcendence above everything is present in many theological traditions, who recognize and answer in a diverse number of ways the question of how to approach the incomprehensible. Using the Historical Critical Method of exegesis with examples from the works of the recently deceased Walter Brueggemann, two completely different contexts in the Old Testament: Exodus 40 and Sirach 24, are presented to show how scripture itself often responded to the question of how God is made comprehensible.

I Cry At Night Before You: Theologies Of Depression In The Psalms, Travis Spillum Osb

Obsculta

This work looks to the Psalms to discover theologies that resonate with experiences of depression. If one struggling with depression feels as if God is angry with them, that their condition is oppressing them, that loved ones have abandoned them, or that God's love for them is wavering, they can utilize the psalmist's words to voice their feelings and express their anguish in prayer to a God who is seemingly deaf to their groaning.

Non-Euclidean Geometries And Fairness Constraints In Advanced Clustering, Arnab Seal

Master’s Dissertations

A fundamental challenge in modern unsupervised learning is adapting classical clustering algorithms to handle complex, real-world data constraints. Traditional models often assume data resides in a flat, Euclidean space and optimize strictly for cluster cohesion, thereby failing to capture intrinsic hierarchical structures and ignoring sociotechnical demographic biases. This thesis addresses these critical limitations by extending generalized mean-shift dynamics into two novel clustering frameworks. First, to natively accommodate data with tree-like structures (e.g., taxonomies and social networks), we propose Hyperbolic Gaussian Blurring Mean Shift (HypeGBMS). By projecting data into the Poincar´e ball model and utilizing M¨obius vector space operations, HypeGBMS successfully …