Digital Commons Network^™

Comprehensive Analysis Using 2-Tuple Linguistic Neutrosophic Madm With Core Competencies Evaluation Of Track And Field Students In Sports Colleges, Ming Tang, Yanzhao Sun

Neutrosophic Sets and Systems

The core competencies evaluation of track and field students in sports colleges holds significant importance. It not only helps assess students' overall abilities in track and field, such as physical fitness, athletic skills, psychological quality, and social responsibility, but also provides a scientific basis for personalized teaching and training. Through this evaluation, students' strengths and weaknesses can be identified, allowing for the optimization of training strategies to improve their athletic performance and holistic development. Additionally, this evaluation aids in cultivating students' teamwork, psychological resilience, and sense of social responsibility, ensuring that they are more competitive and adaptable in their future …

Neutrosophic Topological Spaces For Lung Cancer Detection In Chest X-Rays: A Novel Approach To Uncertainty Management, A. A. Salama, Doaa E. Mossa, Mahmoud Y. Shams, Huda E. Khalid, Ahmed K. Essa

Neutrosophic Sets and Systems

Decision-making in medical diagnosis is often hampered by uncertainties due to incomplete, ambiguous, and evolving information. In reviewing the traditional methods for lung cancer detection, we found that crisp and logic values have more difficulties and challenges. These challenges related to the big data analytics, uncertainty values, and the different circumstances that make it harder for prediction. In this work, we propose a novel approach that use a Neutrosophic Topological Spaces (NTS) for the lung cancer detection in the chest X-ray images. Furthermore, the proposed NTS leverage the strengths points of Neutrosophic Sets (NS) which include the degrees of truth …

Neutrosophic Models For Stereo Depth, Scene Layers, And Confidence Estimation In 3d Animation Production Effect, Shanli Zhao

Neutrosophic Sets and Systems

No abstract provided.

A Refined Neutrosophic Α-Discounting Framework For Evaluating E Commerce Logistics Service Quality In Mobile Environments, Wenjie Wang

Neutrosophic Sets and Systems

No abstract provided.

Enhancing Mis Risk Management Using Neutrosophic Logic: Applications In Investment, Credit Scoring, And Supply Chain Disruption, A. A. Salama, Mohamed Mokhtar El-Muradani, Huda E. Khalid, Ahmed Essa, Haitham Ward, Ibrahim Yasser

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Z-Rough Set Aggregation Operator For University English Immersive Teaching Effectiveness Evaluation Based On Virtual Reality Technology, Jing Dai

Neutrosophic Sets and Systems

No abstract provided.

A Novel Pythagorean Neutrosophic Decision-Making Model For Cultural Creative Product Development In Digital Intelligent Manufacturing Environments, Li He, Jianyun Xu, Bingbei Wang

Neutrosophic Sets and Systems

No abstract provided.

A Neutrosophic Triplet Partial Bipolar Metric Framework For Quantifying Ai-Generated Digital Media Content Quality, Shiming Ma, Shan Lu, Quansheng Liu

Neutrosophic Sets and Systems

No abstract provided.

A Hybrid Probabilistic-Neutrosophic Adaptive Convergence Model For Analyzing Innovative Performance Of Agricultural Technology Enterprises In The Digital Economy, Hongyan Xie

Neutrosophic Sets and Systems

No abstract provided.

A Neutrosophic Communication Influence Model For International Dissemination Effectiveness Analysis Of Traditional Chinese Ethnic Music Culture In The New Media Era, Minjie Liu

Neutrosophic Sets and Systems

No abstract provided.

A Neutrosophic Topological Framework For Aigc-Driven Digital Media Content Automated Generation Technology, Xiaoxia Pan

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic-Integrated Machine Learning Framework For Uncertainty-Aware Diagnosis And Decision Support In Dental Health, C. Kotteeswaran, Premkumar Ramu, J. Nithya, V. Kumar Mohan, Rajeshwari Ramaiah Murugesan, Manjunathan Alagarsamy, Mana Donganont, Prasanta Raut

Neutrosophic Sets and Systems

No abstract provided.

A Fear About Holistic Justice, Farhang Heydari

Vanderbilt Law Review

It is a great irony of our criminal system that the enforcement of our criminal laws has long had aspects of lawlessness. Although criminal statutes define impermissible conduct by members of the public, they generally offer little guidance for state actors enforcing them.' Officers can choose which offenders to cite or arrest and which to let go. Prosecutors can choose which charges to pursue and what pleas to offer. Executives select whom to pardon and how to allocate enforcement resources. Some see the discretion vested in government actors as a virtue-- a safety valve in a system that punishes too …

The Hcpo Way: Resolving Claims Through Cooperation, Anna Rubin

Fordham Law Review

The Nazi regime systematically stripped Jews and other persecuted groups of property through a framework of laws that gave their spoliation a veneer of legality. Postwar restitution programs, though groundbreaking in their efforts to provide individual victims with either compensation or the return of their property, were hampered by strict legal limitations, inconsistent procedures, and the slow pace of resolution. Contemporary restitution efforts increasingly recognize that legal avenues alone cannot fully redress these injustices. This Essay examines the work of the Holocaust Claims Processing Office (HCPO) of the New York State Department of Financial Services, which has developed a model …

Recalibrating Risk Under Dobbs, Yvonne Lindgren, Michelle Oberman

Fordham Law Review

In response to mounting evidence of the devastating harms patients have experienced under abortion bans, abortion opponents and the Supreme Court of Texas have argued that the bans are clear but that doctors are willfully refusing to provide care. Instead of reforming the bans, they argue that doctors should be sued in medical malpractice for their failure to meet the standard of care. This Article interrogates that claim, investigating whether the crisis in reproductive healthcare that has resulted from delayed and denied care can be remedied by suing doctors. Specifically, can medical malpractice litigation provide guardrails against the erosion in …

Competition, Comity, And Confusion: Reconciling The Ftaia’S Import Exclusion With Its Direct Effects Provision, Elliot Lam

Fordham Law Review

The debate surrounding the Sherman Act’s extraterritorial scope represents a tension between two competing objectives: protecting the U.S. economy from foreign anticompetitive conduct on one hand and respecting the sovereign authority of other nation-states on the other. Applying U.S. law abroad risks undermining sovereign authority by regulating foreign economies, though such regulation appears necessary in some cases to protect U.S. consumers.

Congress’s attempt to square these objectives through enacting the Foreign Trade Antitrust Improvements Act of 1982 (FTAIA) failed to settle the matter. The statute left courts with two new questions: how to distinguish “import” from “nonimport” commerce, and how …

When The Taxpayers Are Not Innocent: The Need For Punitive Damages Against Municipalities Under The Fair Housing Act, Charlotte Saltzman

Fordham Law Review

Combatting housing discrimination by municipalities is a core function of the Fair Housing Act (FHA). Courts disagree, however, as to whether punitive damages can be awarded against municipal defendants. The purpose of this Note is twofold. First, it compares the Second Circuit’s recent decision in Gilead Community Services, Inc. v. Town of Cromwell, which held that punitive damages were appropriate against the Town of Cromwell, with the reasoning of district courts that came to the opposite conclusion in reliance on § 1983 precedent. Second, notwithstanding the sufficiency of the statutory analysis, it evaluates the public policy concerns of awarding …

Sustainable Llm Inference For Edge Ai: Evaluating Quantized Llms For Energy Efficiency, Output Accuracy, And Inference Latency, Erik Johanne Husom, Arda Goknil, Merve Astekin, Lwin Khin Shar, Andre Kasen, Sagar Sen, Benedikt Andreas Mithassel, Ahmet Soylu

Research Collection School Of Computing and Information Systems

Deploying Large Language Models (LLMs) on edge devices presents significant challenges due to computational constraints, memory limitations, inference speed, and energy consumption. Model quantization has emerged as a key technique to enable efficient LLM inference by reducing model size and computational overhead. In this study, we conduct a comprehensive analysis of 28 quantized LLMs from the Ollama library, which applies by default Post-Training Quantization (PTQ) and weight-only quantization techniques, deployed on an edge device (Raspberry Pi 4 with 4GB RAM). We evaluate energy efficiency, inference performance, and output accuracy across multiple quantization levels and task types. Models are benchmarked on …

Enhancing Spatial Understanding In Mixed-Reality Presentations, Nam-Dang Vo, Van-Vinh Thai, Nam-Hoi Do, Viet-Tham Huynh, Anthony Tang, Khan-Duy Le

Research Collection School Of Computing and Information Systems

Mixed reality (MR) presentations often involve a presenter wearing a head-mounted display (HMD) and an audience watching via a large display, making it difficult for audiences to perceive spatial relationships between the presenter and virtual objects. We report two experiments testing three design variations: (1) scene camera placement (audience-aligned vs. opposite), (2) overlaying the presenter’s first-person view, and (3) highlighting objects in the presenter’s view. Results show that audience-aligned cameras and object highlighting improve spatial understanding, while combining third- and first-person views can further aid perception. We derive design guidelines for configuring MR presentations to better support audience comprehension.

Disc: Decentralized Identity System With Self-Sovereign Credential Aggregation, Yang Yang, Wai Keung Ching, Minming Huang, Supachate Innet, Guomin Yang, Hwee Hwa Pang, Robert H. Deng

Research Collection School Of Computing and Information Systems

The evolution of decentralized identity (DID) and self-sovereign identity (SSI) frameworks, as endorsed by W3C Verifiable Credentials (VC) and eIDAS 2.0, underscores the need for secure, efficient, and privacy-preserving credential management. However, existing credential systems often depend on centralized issuers, lack efficient aggregation mechanisms, or fail to ensure unlinkability across authentication sessions. To address these challenges, we propose DISC (Decentralized Identity System with Self-Sovereign Credential Aggregation), a novel credential system that enables multi-authority credential issuance, user-controlled credential aggregation, and unlinkable authentication. DISC allows users to aggregate credentials from multiple issuers while maintaining constant-size authentication tokens and supporting batch verification for …

Preservice Teachers’ Perspective On Using Gen Ai In Math Education, Janice Watson-Huggins, Sandra Trotman

FDLA Journal

Generative AI (Gen AI) has revolutionized possibilities for instructional practices in education. The use of digital technology in mathematics education includes tools such as ChatGPT, Photomath, and Gemini. These tools offer opportunities for dynamic engagement, including problem-solving and personalized learning experiences. However, integrating these technologies into the classroom presents significant opportunities and limitations. As GenAI becomes an integral component oewf educational technology, understanding its implications for teaching and learning, particularly in mathematics, is vital. This research examines preservice teachers’ perspectives on using the GenAI within an undergraduate mathematics education course. It also explores the advantages and challenges of using Gen …

Cal Poly (Cp) Legged Robot, Sebastian Barboza, Jonathan Mchale, Isabella Sorensen, Isaac Golan

Mechanical Engineering

The Navy spends $60 billion annually on dangerous ship maintenance performed by sailors. To save lives and resources, the Naval Surface Warfare Center (NSWC) is looking for robots to replace sailors and navigate ships to perform various tasks. Robots with tracks and wheels have been most recently explored by NSWC, however they have encountered significant problems navigating the ships, especially through naval ship doorways with a significant ledge. By using a legged robot, our team hopes to solve these problems and have a robot that can navigate the ship with relative ease and stability.

Reviving Motion: Rebranding More Than Motion Dance Intensive, Ava Zamoff

Graphic Communication

For my senior project, I will lead a full rebranding initiative for More Than Motion Dance Intensive, an international dance convention that occurs annually across the US and other countries, connecting dancers and professional choreographers through a transformative weekend of dance. The main goal of this project is to turn the company’s outdated Wix website into an innovative site with a brand new visual identity. Additionally, the original site’s accessibility is lacking in terms of layout orientation and marketing strategy as it doesn’t convey the modern, dynamic feel the intensive is meant to embody. My goal is to complement the …

Omahe Rak Usah Apik-Apik: Adequate Housing Problems Of The Urban Poor Along Railway Tracks, Syahwal -

The Indonesian Journal of Socio-Legal Studies

As urban development accelerates, urbanization has simultaneously grown as an inseparable phenomenon. However, beneath this transformation lies a crisis within the capitalist system known as overaccumulation, which has led to the marginalization of urban poor groups. This phenomenon results in the creation of slums, one of which is found in the periphery of railway tracks, where the urban poor reside. Semarang the capital of Central Java Province, Indonesia, is an apt example of such developments,. This study takes as starting point that the right to adequate housing is an integral part of human rights and addresses the issue of why …

Addressing Sparsity For Knowledge Graph Completion: Data And Model Perspectives, Ran Liu

Dissertations and Theses Collection (Open Access)

Knowledge graphs (KGs) are powerful tools for structuring factual knowledge into relational triples, yet their practical utility is often adversely affected by data sparsity. Many entities and relations are associated with only a few observations, which limits the quality of learned embeddings and weakens generalization in downstream tasks. The problem of sparsity led to two interrelated challenges. Firstly, it restricts the informativeness of training samples: positive examples are scarce, and conventional negative sampling often produces trivial or redundant negatives that resulting in limited guidance. Secondly, in few-shot relation learning scenarios, sparsity worsens distribution shifts between training and test relations, as …

Multilevel Selection In The Margins: A Review Of Its Representation In Undergraduate Biology Textbooks, C. A. Greene, S. J. Mcpeek, L. Mitchem, A. B. Clark, Vincent A. Formica

Biology Faculty Works

Multilevel selection (MLS) is a foundational framework that expands the concept of natural selection beyond the traditional focus on individuals or genes to larger units, like groups. Despite strong empirical support and applications in a broad range of biological fields, MLS, often referred to as group selection, has a controversial history, which has impeded its wide use and led to incorrect inferences on the sources and strength of selection. Here, we explore how MLS is currently presented to undergraduate biology students by analyzing the content of nine commonly used Evolutionary Biology and Animal Behavior textbooks. We ask whether and how …

Textualism Wins?: The Supreme Court’S 2024 Labor & Employment Law Cases, Nicole B. Porter

Faculty Publications

The Supreme Court decided five primary labor and employment law cases in 2024—two discrimination cases, two arbitration cases, and one labor law case. This article also discusses a sixth case, Loper Bright Enterprises v. Raimondo, because it will undoubtedly affect labor and employment law despite the facts and underlying issue having nothing to do with the workplace.

I was initially underwhelmed with this year’s cases. None of them addresses any major substantive labor and employment law issue. However, upon further consideration, the cases are noteworthy for three reasons. First, three of them are pro-plaintiff with outcomes that benefit workers— …

Presuming Justice For Temp Workers, Andrew Elmore, Kati L. Griffith, Sachin S. Pandya

William & Mary Law Review

Workers need to know who their employers are. Who is responsible for remedying workplace dangers? Who can they sue for restitution when they are discriminated against at work, or do not get paid for all of the hours they work? Temp agency contracts complicate these seemingly simple questions. In workers’ rights cases involving “temps,” courts and administrative agencies often engage in protracted, resource-intensive joint employer inquiries to decide whether the temp agency clients share in employer obligations and liabilities with the agencies. This is the case even when the temp agency client has the key markers of an “employer,” such …

Reforming Abolition, Daniel Fryer

Michigan Law Review

Abolition is an elusive concept, which allows people with various political views to identify with the idea. This Article unpacks some of the conceptual features that lead to its elusiveness. This imprecision has empowered some to point out the diverse—if not inconsistent—positions that self-identified abolitionists take when articulating the contemporary abolition movement’s demands. The question then becomes whether the movement could protect itself from being a rootless position with insufficient tools to guide change. I suggest that it can. Rather than getting caught up in debates about abolition’s ends, I propose that more attention be paid to abolition’s grounds. By …

Neural Network Ensemble For Computing Cross Sections Of Rotational Transitions In H2O + H2O Collisions, Bikramaditya Mandal, Dmitri Babikov, Phillip C. Stancil, Robert C. Forrey, Roman V. Krems, Naduvalath Balakrishnan

Chemistry Faculty Research and Publications

Water (H₂O) is one of the most abundant molecules in the universe and is found in a wide variety of astrophysical environments. Rotational transitions in H₂O + H₂O collisions are important for modeling environments rich in water molecules but they are computationally intractable using quantum mechanical methods. Here, we present a machine learning (ML) tool using an ensemble of neural networks (NNs) to predict cross sections to construct a database of rate coefficients for rotationally inelastic transitions in collisions of complex molecules such as water. The proposed methodology utilizes data computed with a mixed …