Digital Commons Network^™

A Systematic Review Of Implementing Iot Healthcare Systems: Technological, Organizational, And Ethical Barriers In Rural Settings, Mudzramer A. Hayudini, Angela Joy A. Jimpoy, Jonel T. Alibasa, Aisha A. Carolino, Jenden M. Julkamri, Nagdir B. Muhadja, Al Rajab H. Aming, Hamdoni K. Pangandaman, John Ed Augustus A. Escorial

Jurnal Keperawatan Indonesia

The implementation of Internet of Things (IoT) technologies holds transformative potential for healthcare delivery in rural and underserved regions. This systematic review focuses on technological, organizational, and ethical barriers. A comprehensive literature search across six major academic databases yielded eleven empirical studies published between 2015 and 2025. The review adhered to PRISMA protocols, with data synthesized using the Synthesis Without Meta- Analysis (SWiM) guidelines. Findings revealed that technological challenges—such as unreliable internet connectivity, lack of device interoperability, and power supply issues—are widespread across rural implementations. Organizational limitations included inadequate training, resistance to workflow changes, and financial constraints. Ethical concerns primarily …

ทำไมในความรับผิดของปัญญาประดิษฐ์ถึงควรเปลี่ยนจากทฤษฎีความผิดเป็นทฤษฎีความรับผิดขององค์กร (Why Ai Liability Should Shift From Fault-Based Theory To Enterprise Liability), Laddawan Yaimanee

Chulalongkorn University Law Journal

ปัญญาประดิษฐ์เข้ามามีบทบาทต่อการดำเนินชีวิตของบุคคลอย่างมาก ทำให้เกิดปัญหาความรับผิดจากความบกพร่องของปัญญาประดิษฐ์ จากคุณสมบัติเฉพาะที่มีความซับซ้อนและความเป็นอิสระจากการควบคุมของมนุษย์ ทำให้การใช้ทฤษฎีความผิดที่มุ่งหาตัวผู้กระทำผิดมารับผิดชอบต่อความบกพร่องของปัญญาประดิษฐ์นั้นไม่เหมาะสมอีกต่อไป เนื่องจากทฤษฎีความผิดมุ่งหาผู้กระทำความผิดโดยเจตนาหรือประมาท โดยมุ่งเน้นที่ตัวบุคคลผู้กระทำผิด ทำให้ผู้เสียหายไม่ได้รับความเป็นธรรม ต้องพิสูจน์ต่อศาลว่ามีการกระทำผิดโดยเจตนาหรือประมาทเกิดขึ้น ทั้งที่โดยคุณสมบัติของปัญญาประดิษฐ์นั้นมีความซับซ้อนทางเทคโนโลยี ผู้เสียหายไม่อาจพิสูจน์ความผิดหรือความเกี่ยวข้องระหว่างเหตุและผลของการกระทำและการตัดสินใจของปัญญาประดิษฐ์ได้โดยง่าย ด้วยเหตุนี้จึงจำเป็นต้องนำทฤษฎีความรับผิดขององค์กรมาใช้ เพื่อให้ผู้ผลิตปัญญาประดิษฐ์รับผิดต่อความบกพร่องของปัญญาประดิษฐ์แม้ไม่มีความผิดเกิดขึ้นก็ตาม โดยเป็นการรับผิดในความบกพร่องชำรุดของปัญญาประดิษฐ์โดยตรง ทั้งนี้ผู้เสียหายจะมีภาระการพิสูจน์เพียงว่าปัญญาประดิษฐ์นั้นมีความชำรุดบกพร่องและก่อให้เกิดความเสียหายต่อผู้เสียหายเท่านั้น ซึ่งหลักทฤษฎีความรับผิดขององค์กรมุ่งเน้นที่การกระจายความเสี่ยงและการคิดต้นทุนการผลิตภายในองค์กร หลักการนี้จะทำให้ผู้ผลิตสามารถคำนวณต้นทุนความเสียหายได้ล่วงหน้าและสามารถกระจายความเสี่ยงไปยังผู้มีส่วนได้เสียหรือผู้บริโภคในตลาด ไม่จำต้องแบกรับภาระของต้นทุนสินค้าและความเสียหายแต่เพียงผู้เดียว ความรับผิดขององค์กรจึงเป็นความรับผิดเด็ดขาดของผู้ผลิต ซึ่งมีความเหมาะสมกับปัญญาประดิษฐ์มากกว่าการใช้ทฤษฎีความผิดแบบดั้งเดิม

From Reclamation To Restoration: Remaking Nature On Portland's Peninsula, Theus Richards

University Honors Theses

This environmental history of the North Portland Peninsula is a critical case study of a landscape in transition, where new "natures" have been constructed through shifting projects of reclamation and restoration. The Port of Portland, who controlled the Peninsula, transformed the marshy bottomlands near the confluence of the Columbia and Willamette Rivers to accommodate greater networks of industrial infrastructure and expand their capacity for global trade. Beginning in 1967, the Port began dredging operations to fill Ramsey Lake to make way for the construction of Rivergate Industrial District. Through this process, Smith & Bybee Lakes were set aside as a …

Infinite Justice: A Critique Of Capitalism & Capital Punishment, Anthony P. Farley

UC Law Journal of Race and Economic Justice

Capitalism began in murder. Bodies were marked by slavery, colonialism, and genocide, white to have, and black to have not. Capitalism, “covered in dirt and dripping with blood,” was born of these three “primitive accumulations.” Slavery is death, and just like colonialism and genocide, it is a capital sentence. The law of capital punishment continues this legacy of murder and racism, as if on “rails to infinity.” This article uses insights from the critique of political economy to examine the death penalty, and the role of law generally, in maintaining racial and other inequalities. Law’s Justice enacts an endless repetition-&-forgetting …

“Faith As A Shield”: Challenging Religious Exemptions To Child Welfare Statutes In Response To Institutional Child Abuse, Shailey Mussey

Southern Illinois University Law Journal

This Note analyzes the role of religious exemptions in federal and state child welfare statutes in facilitating abuse within the Troubled Teen Industry (TTI), a loosely defined network of residential treatment programs, wilderness camps, and therapeutic boarding schools. Although religious exemptions were originally intended to safeguard religious liberty and parental rights, their statutory design has produced significant regulatory gaps that permit certain faith-affiliated institutions to operate with minimal oversight. By tracing the historical development of these exemptions and examining their contemporary application across multiple jurisdictions, this Note demonstrates how religious status can function as a shield against meaningful accountability. It …

Neutrosophic Probability With Dynamic Temporal Uncertainty (Nptu), Bhimraj Basumatary, Ashoke Kumar Brahma

Neutrosophic Systems with Applications

This paper introduces Neutrosophic Probability with Dynamic Temporal Uncertainty (NPTU), an extension of classical neutrosophic probability that incorporates the dimension of time. In classical neutrosophic probability, the degrees of truth, indeterminacy, and falsity are considered static. However, real-world uncertainties evolve, and their degrees change as new information becomes available. NPTU models these uncertainties dynamically, allowing for more accurate decision-making in time-varying environments. The paper explores key mathematical properties of NPTU, including entropy, distance measures, similarity measures, and Kullback-Leibler (KL) divergence, to quantify and compare temporal uncertainty states. The proposed framework is demonstrated through a case study on stock price prediction, …

Double-Valued Complex Neutrosophic Graphs, Suriyakumar G, V. J. Sudhakar, Takaaki Fujita

Neutrosophic Systems with Applications

This paper introduces a novel graph-theoretic framework, called the double-valued complex neutrosophic graph, as an extension of double-valued neutrosophic set theory. Within this framework, we investigate several important classes of such graphs, including self-complementary, strong, and full double-valued complex neutrosophic graphs, and establish a number of their fundamental properties. To clarify the proposed concepts and demonstrate their structural behavior, several relevant illustrative examples are also provided.

The Impact Of Green Lean Manufacturing On Sustainability Dimensions: An Analytical Study Of Opinions A Sample Of Employees At The National Home Furniture Manufacturing Company, Rana Salim Mataab

Muthanna Journal of Administrative and Economics Sciences

This study aims to determine the extent of the association and impact of green lean manufacturing practices on the dimensions of sustainability (economic, social, and environmental) from the point of view of individuals working in national companies for the manufacture of home furniture. To achieve this goal, a questionnaire was designed according to a five-point Likert scale. In July 2024, using the cross-sectional studies approach, (213) responses that could be analyzed statistically were collected from the study sample. These data were analyzed using two software packages: (AMOSv24) and (SPSSv26). The results indicate that green lean manufacturing practices are associated with …

Application Of A Fuzzy Multi-Objective Defuzzification Method To Solve A Multi-Modal Transportation Problem, Qusay H Khalaf, Khalid Zeghaiton Chaloob

Muthanna Journal of Administrative and Economics Sciences

Multi-modal transportation systems are the logistics networks for global economy. Transportation systems are fraught with uncertainties that hinder the traditional deterministic models reaching the optimal performance. The main obstacle for traditional deterministic models is the uncertainties (e.g., fuel prices volatility, inaccurate transit-times prediction, and evolving environmental regulations). This paper proposes a novel method of fuzzy multi-objective defuzzification. It integrates a modified center of gravity (COG) technique with multi-objective linear programming (MOLP) to address the uncertainty challenges. Triangular fuzzy numbers and partitioning to sud-intervals generated crisp solutions to balance conflicting objectives: cost, time, and environmental sustainability. A four transportation-mode used as …

Annual Faculty Research Symposium 2026, Oakwood University

Proceedings

No abstract provided.

Icc Agenda 3-31-26, Angela Brock

Individual Course Committee (ICC)

No abstract provided.

Program Review Report 3-31-26, Angela Brock

Program Review Committee

No abstract provided.

Progress On The Sustainable Development Goals In Asia Requires Ambitious Climate Targets Combined With Sustainability-Focused Measures, Pu Wang

Double Helix Methodology

Asian countries face the dual challenge of fulfilling ambitious climate commitments under the Paris Agreement while simultaneously advancing the United Nations Sustainable Development Goals (SDGs). This study develops an integrated analytical framework that links decarbonization pathways with SDG indicators across energy, air quality, health, and the food-water-land nexus, as well as policy cost-effectiveness, explicitly incorporating national circumstances. Our findings indicate that current climate pledges primarily deliver gains in SDG indicators related to energy and air quality. Achieving broader progress across other SDG dimensions requires combining more ambitious climate targets with diverse, sustainability-oriented mitigation measures tailored to domestic contexts. Middle- and …

Moving Forward While Swaying Left And Right: How To Govern National Innovation Systems-Catalysed Innovation Ecosystems?, Jiang Yu

Double Helix Methodology

There is a burgeoning literature arguing that addressing grand challenges, such as de-globalization, requires a set of complementary actors to build innovation ecosystems (IE), which are also strategically integrated into the national innovation system (NIS). We conceptualize this specific systemic phenomenon as a new type of IE—NIS-catalysed IE—whose sustainable growth is said to be constantly hindered by dependent yet opposing tensions. The current literature provides fruitful insights into governing paradoxical tensions; however, some taken-for-granted theoretical assumptions within it are problematic when examining the relationship between salient paradoxes embodied in NIS-catalysed IE and effective governance mechanisms. Drawing on a single longitudinal …

Development And Service Performance Of Active Anti-Icing Pavement Materials For Energy Efficiency Optimization Of Low-Enthalpy Geothermal Deicing Systems, Junming Mo, Jiading Jiang, Ke Wu, Lei Qu, Wenbin Wei, Jinfu Zhu

Faculty Research, Scholarly, and Creative Activity

To address high thermal loads and energy costs in Geothermal Road Snow-Melting Systems (GRSSs) within cold regions, this study optimizes energy efficiency through material-level intervention. We developed a composite anti-icing modifier synergistic with low enthalpy geothermal systems, comprising slow-release agents, anti-corrosive components, reinforcing materials, and active chloride salts. By regulating the thermodynamic boundary of the pavement, the freezing point is suppressed to −21 °C. This eliminates the requirement for positive pavement temperatures, significantly reducing the design thermal power. Chloride ion release patterns were analyzed via dissolution and 20-day soaking tests to evaluate structural durability. Results show optimal performance at a …

High-Power Dual-Channel Chamber For High-Frequency Magnetic Neuromodulation, Xiaoyang Tian, Hui Wang, Boshuo Wang, Jinshui Zhang, Dong Yan, Jeannette Ingabire, Samantha Coffler, Guillaume Duret, Quoc-Khanh Pham, Gang Bao, Junzhe Wang, Ashok Veeraraghavan, Jacob T Robinson, Stefan M Goetz, Angel V Peterchev

Faculty, Staff and Students Publications

Objective. Several novel methods, including magnetogenetics and magnetoelectric stimulation, use high frequency alternating magnetic fields to precisely manipulate neural activity. To quantify the behavioral effects of such interventions in a freely moving mouse, we developed a dual-channel magnetic chamber, specifically designed for rate-sensitive magnetothermal-genetic stimulation, and adaptable for other uses of alternating magnetic fields.

Approach. Through an optimized coil design, the system allows independent control of two spatially orthogonal uniform magnetic fields delivered at different frequencies within a 10 × 10 × 6 cm3 chamber suitable for mouse studies. The two channels have nominal frequencies of 50 and 550 kHz …

Exact Soliton Solutions Of The Nonlinear Time-Fractional Schrödinger Equation Via Atangana–Baleanu And M-Truncated Operators, Bahadır Kopçasiz, Fatma Nur Kaya Sağlam, Mehmet Şenol

Mathematical Modelling and Numerical Simulation with Applications

The main objective of this work is to obtain exact soliton solutions for a nonlinear time-fractional equation model describing wave profiles arising in various physical systems. To derive different wave structures associated with the considered model, two analytical techniques are employed: the extended G'\G^2-expansion method and the modified auxiliary equation (MAE) approach. A wave transformation is applied to reduce the nonlinear time-fractional equation to a nonlinear ordinary differential equation (NLODE) by means of the M-truncated and Atangana-Baleanu (AB) fractional operators. Several classes of solutions, including exponential, hyperbolic, and trigonometric wave forms, are obtained. Over and above the analytical results, graphical …

Berkarya Seni Lukis Akrilik Pada Kanvas Dengan Tema 5 Stages Of Grief, Gregorius Renaldi Teja Permana, Ike Rahmawati

Journal of Language, Literature, and Arts

This study aims to visualize the concept of the five stages of grief into acrylic paintings on canvas and to analyze the relationship between visual elements and emotional expression. The concept, introduced by Kübler-Ross, consists of five stages: denial, anger, bargaining, depression, and acceptance. The study employs Alma Hawkins’ art creation method, which includes exploration, improvisation, and formation. The exploration stage involves literature review, visual reference analysis, and interviews with participants. The improvisation stage produces sketches as the basis for artwork development, while the formation stage involves the execution of acrylic paintings on canvas. The results consist of six artworks …

Ucc Minutes 3-31-26, Angela Brock

UCC Agendas/Minutes

No abstract provided.

Neutrosophic Sets In Neural Networks: Theory, Applications, And Challenges, Vladimir Simic, Dragan Pamucar, Hafiz Muhammad Athar Farid

Neutrosophic Systems with Applications

The integration of neutrosophic sets into neural networks presents a novel approach to handling uncertainty, indeterminacy, and falsity in data. Traditional neural networks typically operate under the assumption of precise and complete data, but real-world applications often involve noisy, incomplete, or ambiguous information. Neutrosophic sets extend fuzzy logic by incorporating three components: truth, indeterminacy, and falsity, allowing for a more nuanced representation of uncertain data. This paper explores the theoretical foundations of neutrosophic sets and their integration with neural networks, highlighting the challenges in computational complexity, training, and optimization. The paper also discusses the potential applications of neutrosophic neural networks …

Emergent Operator Logic: A Foundational Framework For Dynamic Reasoning And Generative Intelligence, Mona Gharib, Abduallah Gamal, Muhammad Nawaz, Basma Nasir

Neutrosophic Systems with Applications

This paper introduces Emergent Operator Logic (EOL), a framework that treats propositions as continuous operators $F_p:X \rightarrow X$ on a complete metric state space $( X,d )$ and evaluates truth after action via a continuous valuation $V:X \rightarrow [ 0,1 ]$. Logical composition is realized by three operator-level connectives: sequential $p \circ q$(causal order), parallel $p\parallel q$(1-Lipschitz cooperative blend), and the emergent synthesis $E( p,q ) = \frac12( F_p \circ F_q + F_q \circ F_p )$, which symmetrizes non-commuting actions. We provide a Hilbert-style proof system (sound), an algebraic semantics via E-algebras, and show that the category of E-algebras is …

A Hybrid Multi-Criteria Decision-Making Approach For Sustainable Forest Fire Monitoring Using Unmanned Aerial Vehicles, Mohamed Eassa, Ahmed Abdelhafeez, Ahmad M. Nagm

Neutrosophic Systems with Applications

Unmanned aerial vehicles (UAVs) have become an effective tool for forest fire monitoring. This study evaluates UAVs for forest fire management, addressing the challenges posed by ambiguous and uncertain factors. Single-valued neutrosophic sets (SVNSs) are employed to model complex uncertainties, as they incorporate three distinct membership values: false, true, and indeterminate. The evaluation of UAVs is a multifaceted task due to the variety of factors involved. To address this complexity, multi-criteria decision-making (MCDM) methods are used. Specifically, the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) are integrated with SVNS to …

The Heavy Crown, Shared Throne: How Coleadership Tempers Ego And Sustains Leader Well-Being, Sam T. Hunter, Ares Boira-Lopez, Alexis D'Amato

Psychology Faculty Publications

Mitchell and colleagues (Reference Mitchell, Haslam, Burke and Steffense2026) provide a well-reasoned, sound, and thought-provoking case for why HR practices can promote or discourage narcissistic tendencies in leaders. Acknowledging their contribution, we offer two points of pushback and one point of extension based on those areas of pushback. The first point of pushback is that counter to the authors, we contend that hypercompetitive selection methods that seek to identify the best leadership candidate, although not ideal, are necessary. Do such processes (e.g., head hunting, in-depth assessment centers) admittedly have the potential to inflate individual egos and promote narcissistic …

Educating Staff Nurses On Pain Reassessment, Katie Louise Pemberton

Walden Dissertations and Doctoral Studies

Pain is one of the most common reasons that patients seek medical care, and chronic pain is a major health problem. The goal of this project was to address a lack of current, evidence-based knowledge of nurses regarding pain reassessment. The context for this project was a medical-surgical area in a rural hospital. The Doctor of Nursing Practice project attempted to answer the practice focus question on whether education improved knowledge related to improving pain reassessment. The project framework utilized in the doctoral project was the analysis, design, development, implementation, and evaluation model. An education program was designed with the …

Effective Digital Presence Strategies For Certified Public Accountant Organization Leaders To Attract And Retain Clients, Ian Claude Pounall

Walden Dissertations and Doctoral Studies

Nonprofit professional associations often face challenges in sustaining organizational excellence and member engagement within resource-limited environments. Certified public accountant (CPA) organizational leaders are concerned with identifying effective strategies to enhance performance and ensure long-term organizational service relevance. Grounded in the Baldrige Excellence Framework and resource-based view theory, the purpose of this qualitative single case study research project was to identify and explore strategies that online CPA organizational leaders can use to develop a comprehensive digital presence framework to attract and retain organizational clients. The participant was a single Canadian CPA organizational leader. Data were collected through semistructured interviews and analysis …

Alignment Of Projects With Business Strategy, Lyndon Leathan Martin

Walden Dissertations and Doctoral Studies

Some organizations lack strategies to ensure that project outcomes are aligned with organizational objectives. Business leaders are concerned when project outcomes are misaligned with organizational objectives, as this can lead to decreased profitability and a loss of competitive advantage. Grounded in Porter’s Five Forces model, the purpose of this qualitative, pragmatic inquiry was to explore the strategies business leaders use to ensure project outcomes are profitable and aligned with organizational objectives. The participants were six executive leaders of real estate and development companies in the Caribbean, purposefully selected because their organizations had successfully fulfilled organizational objectives through project outcomes. Data …

Determining A Likely Mechanism Of Missingness In Repeated Measures Sleep Data From Wearable Fitness Trackers: Longitudinal Analysis, Kate Mobley, Kevin B. Gittner, Karen Nielsen, Lauren Matheny, Gita Taasoobshirazi, Charles Natuhamya, Monica H. Swahn

Faculty Articles

Background: Wearable fitness trackers have become a valuable tool in public health research due to their ability to collect large-scale, individual-level data at a low cost. Because of this, wearables have the potential to mitigate the urgent need for health research in low-resource settings. However, their use has been largely limited to high-income settings, and a major challenge remains: high rates of missing data. This problem may be exacerbated in low-resource environments where logistical and operational barriers further complicate data collection. Wearable sleep data collected in an urban informal settlement in Uganda during The Onward Project on Well-being and Adversity …

The Lawyer, The Law, The Case: Teaching Legal Readers To Co-Create The Law, Sara Cates

St. Mary's Law Journal

No abstract provided.

Continuous Deep Learning With Elastic Weight Consolidation For Robust Multi-Class Lung Cancer Diagnosis, Zainab Muhammed, Belal Al-Khateeb

Mesopotamian Journal of Big Data

Lung cancer is the leading cause of death by cancer in the world, thus demanding an urgent requirement for reliable and reproducible diagnostic tools for its early detection and differentiation into subtypes. Most classical deep learning methods suffer from catastrophic forgetting and have trouble with continuous learning, especially with an increasing amount of clinical data. This work investigates these issues by introducing a best multi-class lung cancer classification framework consisting of Residual Network architecture (Resnet-50) and Continuous Deep Learning (CDL), and Elastic Weight Consolidation (EWC). The proposed model was trained sequentially using two tasks: Task1 consisted of 6,800 histopathological images …

Vision Transformer Model For Multiclass Classification And Localization Of Thoracic Abnormalities In Chest X-Rays, Mohammed Ahmed Talab, Sumia Abdulhussien Razooqi Al-Obaidi, Othman I. Hammadi, Suryanti Awang, Nur Syafiqah Mohd Nafis, Hasan Kahtan

Mesopotamian Journal of Big Data

Chest X-rays (CXRs) have been utilized as an important tool for diagnosing thoracic diseases because of their cost-effectiveness and accessibility. However, subtle signs of diseases, anatomical overlap and lack of expert radiologist in certain areas lead to difficulty in reading the CXRs. This indicates the needs of automated diagnostic systems to be accurate. Existing deep learning methods have shortcomings because they require pixel-level annotations to train models well. To address this problem, this study proposes Vision Transformers (ViT) with transfer learning for multiclass classification and weakly supervised localization of thoracic diseases in chest X-ray images. The technique uses patching, positional …