Digital Commons Network^™

Linguistic Dual Hesitant Hypersoft Set And Their Application With Decision Making In Medical Diagnosis And Treatment, B. Sathiyapriya, V. Pankajam

Neutrosophic Sets and Systems

This study presents Linguistic Dual Hesitant Hypersoft Set (LDHHS) for Analysing Medical Diagnose. In LDHHS, linguistic terms are combined with Dual Hesitant logic to handle uncertainty and vagueness in Decision-Making. The Hypersoft Set extend traditional soft sets by handling multi-attributes and interdependent parameters in Decision-Making. In the context of LDHHS can be used to categorize and assess different aspects of Aggregation and using Decision-Making in Medical Diagnose. In this study the development of this framework, its application and its potential impact using a Gastroesophageal reflux disease (GERD) case study to illustrate its effectiveness.

Neutrosophic Hyper Ku-Ideals, Ramesh D. Kumar, M. Vasu

Neutrosophic Sets and Systems

This paper introduces the concepts of neutrosophic hyper KU-ideals, including strong, weak, and strong-weak neutrosophic hyper KU-ideals, as well as reflexive neutrosophic hyper KU-ideals within the framework of hyper KU-algebras. Fundamental properties of these structures and the relationships among them are investigated in detail. Special attention is given to the study of neutrosophic weak hyper KU-ideals and the conditions under which a neutrosophic set qualifies as a neutrosophic strong hyper KU-ideal (NSHKUI) or a reflexive neutrosophic hyper KU-ideal. The paper further establishes necessary conditions for a neutrosophic weak hyper KU-ideal (NWHKUI) to become a neutrosophic strong-weak hyper KU-ideal (NsWHKUI), as …

Neutrosophic Πgγ* Closed Sets In Neutrosophic Topological Spaces, K. Sakthivel, A. Gomathi

Neutrosophic Sets and Systems

This paper introduces and investigate the notion of Neutrosophic πgγ* closed sets within the framework of Neutrosophic topological spaces. The study begins defining Neutrosophic πgγ* closed sets and proceeds to investigate their fundamental properties and characterizations. Special attention is given to examining how these sets interrelate with and extend existing classes of Neutrosophic closed sets. By establishing inclusion relations and comparative hierarchies, the paper highlights the significance of Neutrosophic πgγ* closed sets in broadening the structural understanding of Neutrosophic topologies. Furthermore, several illustrative examples are provided to demonstrate the distinctive features of these sets and to clarify their role in …

Neutrosophic Quadruple Metric Spaces And Neutrosophic Quadruple Normed Spaces, Memet Şahin, Arif Sarıoğlan, Amanzholova Alina Bolatkyzy

Neutrosophic Sets and Systems

This study establishes fundamental results in the emerging domains of neutrosophic quadruple metric spaces and neutrosophic quadruple normed spaces. Building upon the recent definition of neutrosophic quadruple metric spaces, the first primary contribution is the development of fixed-point theory within this generalized framework. Specifically, we formulate and rigorously prove an analogue of the Banach contraction principle tailored for neutrosophic quadruple metric spaces. Furthermore, we establish additional fixed-point theorems applicable in this context, extending foundational results from classical metric spaces and simpler neutrosophic structures to handle the increased complexity and uncertainty modeled by quadruple-valued neutrosophic sets. The second major contribution involves …

Role Of Clans In The Proximities Of Neutrosophic Sets, R. Subasree, K. Basari Kodi, Giorgio Nordo, K. Subramanian, N. Nagamani

Neutrosophic Sets and Systems

In this study, the terms filters, grills, clans, and proximities of neutrophic sets are defined. Further some of its properties are investigated and the results are provided.

Horizontal And Vertical Generalized N-Fold Algebra: Formal Construction And Applications In Multi-Dimensional Modeling, Florentin Smarandache

Neutrosophic Sets and Systems

This paper extends the recently developed framework of Neutrosophic Logic-based Two-Fold Algebra (TFA), which was designed to integrate classical algebraic operations with fuzzy and neutrosophic components for modeling uncertainty alongside deterministic structures. Although TFA successfully combines algebraic operations with uncertainty descriptors, its binary structure becomes restrictive in applications requiring the simultaneous integration of multiple independent qualification dimensions, such as risk, sustainability, reliability, and performance assessment. To address this limitation, the paper introduces two generalized frameworks: Horizontal n-Fold Algebra and Vertical n-Fold Algebra, together forming the generalized n-Fold Algebra (n-FA), together with the extension from two-valued to multi-valued operations where m≥2. …

Integral Type Contractive Condition In E-Chainable Neutrosophic Metric Space And Common Fixed Point Theorem, Rajesh Kumar Saini, Mukesh Kushwaha, Moh. Kasim

Neutrosophic Sets and Systems

Nonlinear Optimization, Game theory, economics and study of differential equations are just a few of the many domains in which fixed point theory (FPT) is essential. It is possible to construct new forms of infinite products by using continuous triangular norms (TN) and continuous triangular co-norms (TC). Banach contraction principal has been established in the context of neutrosophic metric space (NMS) within the framework through the use of these newly define infinite products. We introduced integral type contractive condition in -chainable NMS and establishes a common fixed point theorems (CFPTs) in the current work. The result acquired in this study …

Operations On Pythagorean Neutrosophic Fuzzy Matrix, V. Surya, Sophia R. Porchelvi

Neutrosophic Sets and Systems

This article discusses various unique varieties of Pythagorean neutrosophic fuzzy matrices (PNFM). Some fundamental operations such as addition, multiplication, union, intersection, complement, and exponen tial are discussed. This work introduces algebraic operations on PNFM and demonstrates some of its associated theorems, including distributive, commutative, and associative. The purpose of these investigations is to con tribute to a better understanding of PNFM and its use in real-world uncertainty.

Hospital-Acquired Pressure Injury Prevention Using A Care Bundle In A Neuroscience Intensive Care Unit, Sarah Dolick

Doctor of Nursing Practice Final Project Abstract

Purpose: The purpose of this quality improvement DNP project was to implement a preventative care bundle to reduce the number of hospital-acquired pressure injuries.Compliance with bundle elements was monitored through weekly bedside audits. HAPI data were collected for 12 weeks pre-intervention and 12 weeks post-intervention to evaluate outcomes. The project utilized Plan-Do-Study-Act (PDSA) cycles to refine implementation and address barriers in real time.

Background: The project was implemented in a 32-bed neuroscience intensive care unit in an academic center in the Texas Medical Center.

Results: After implementation of the care bundle, average HAPIs decreased from 4.6 per survey (pre-intervention) to …

A Machine Learning And Nlp Pipeline For Analyzing Esg And Sustainability Disclosures In The Textile And Apparel Industry, Md. Rafiqul Islam Rana M.S.,Ph.D, Agraj Magotra, Fairuz Shadmani Shishir, Sumaiya Shomaji

Faculty Publications

The global textile and apparel (T&A) industry faces critical pressure over its environmental impact, producing approximately 92 million tons of waste annually and contributing to nearly 20% of global water pollution. For Bangladesh, one of the leading apparel exporters, the integration of transparent Environmental, Social, and Governance (ESG) practices is crucial for meeting international sustainability standards and maintaining global competitiveness. This study proposes a machine learning-based method to analyze ESG practices among LEED-certified T&A factories in Bangladesh. Leveraging contextual Natural Language Processing (NLP) and Topic Modeling technique, we developed a robust Machine learning (ML) framework based on Non-Negative Matrix Factorization …

Trump's Job Approval Ratings Continue To Slide In Nh, Majority Support Changes For Federal Elections 4/24/2026, Unh Survey Center

All UNH Survey Center Polls

Six in ten New Hampshire residents disapprove of President Donald Trump’s overall job performance and ratings of his handling of foreign affairs are even lower. Majorities in New Hampshire support several proposed changes to federal election laws, including requiring photo ID, requiring physical evidence of citizenship to register to vote, requiring states to set up programs to remove noncitizens from voter rolls, and requiring registration in person. Less than one-third of state residents believe the country is headed in the right direction.

Approval Of Trump's Handling Of Foreign Policy & Economy Falls In Rhode Island 4/24/2026, Unh Survey Center

All UNH Survey Center Polls

Two-thirds of Rhode Island residents disapprove of President Donald Trump's overall job performance. Assessments of his handling of foreign affairs and the economy have also slumped since February, particularly among Independents. Majorities of Rhode Islanders support several proposed changes to federal election laws. Just over two-thirds of Rhode Islanders believe the country is headed in the wrong direction.

Approval Of Trump's Foreign Policy Drops In Connecticut, Majority Support Federal Election Changes 4/24/2026, Unh Survey Center

All UNH Survey Center Polls

More than six in ten Connecticut residents disapprove of President Donald Trump's overall job performance. Approval of Trump's handling of foreign affairs has fallen since February, with support falling fastest among Connecticut Republicans. Three-quarters of Connecticut residents support requiring photo ID to vote in federal elections, and majorities support other changes to federal election laws. Two-thirds of Connecticut residents believe the country is headed in the wrong direction.

Strategic Substrate Modification As A Mechanistic Probe In Photoredox Catalysis: An Nmr And Quantum Yield Study, Michael J. Payne

Undergraduate Honors Theses

The mechanism of the photoredox-catalyzed allylic arylation of cyclohexene with 1,4- dicyanobenzene (DCB) using tris(2-phenylpyridine)iridium(III) and a thiol hydrogen atom transfer (HAT) co-catalyst has been the subject of ongoing mechanistic debate. Three competing pathways have been proposed: radical-radical coupling, radical addition, and fragment-radical-radical coupling. In this work, methyl-substituted cyclohexene derivatives are employed as mechanistic probes to interrogate product distributions and reaction efficiency using ¹H and 2D NMR spectroscopy and external quantum yield measurements. Quantum yields across all substrates remained below one, confirming significant loss to unproductive pathways and ruling out a chain mechanism. Among the derivatives, 1-methylcyclohexene was found to …

Agenda (4-24-2026), California State University, San Bernardino - Associated Students, Incorporated

Associated Students, Incorporated records

No abstract provided.

Compositional Analysis Of Daf And Saf Biomasses For Htl, Josue Duran, Kimberly Vargas, Rae Lyons, Logan Mallory, Rose Saxton, Owen Mcdougal

2026 Undergraduate Research Showcase

Millions of gallons of wastewater are produced daily from dairy processing that are treated by either dissolved air flotation (DAF) or suspended air flotation (SAF) to remove insoluble particulates from the water. The particles consist of proteins, lipids, and carbohydrates that aggregate to flocculants and coagulants that float to the water's surface where it is skimmed off. This biomass contains 85-95% water making transportation for disposal expensive. However, these byproducts can be processed further through hydrothermal liquefaction (HTL) to reduce water content and turn the biomass into high-value biocrude oil with high energy outputs. HTL performs best with high moisture …

Seeding Disease From The Gut: Glyphosate, Microbiome Disruption, And Parkinson’S Pathology, Paden Parisot, Sydney Boutros, Ty Naymik, Sabrina Wilson, Allie Higgins, Katie Hettel, Trevor Walker, Kaitlyn Carver

2026 Undergraduate Research Showcase

The use of agricultural pesticides and herbicides in the United States has increased steadily since the 1960s. Glyphosate, the most widely used herbicide globally, is the active ingredient in glyphosate-based herbicides (GBHs) such as Roundup®. Emerging evidence suggests that GBHs may adversely affect human health by crossing the blood-brain barrier, increasing oxidative stress and genotoxicity, and disrupting reproductive processes. Chronic exposure to environmental toxicants, including pesticides, has also been associated with neurodegenerative diseases such as Parkinson’s disease (PD). Notably, higher PD mortality rates have been reported in regions with elevated GBH exposure. Early PD pathology is characterized by the accumulation …

Aisles Of Avoided Damage, Devon Casper

2026 Undergraduate Research Showcase

Imagine a United States where the grocery aisle acts as a catalyst for a sweeping agricultural revolution. This paper explores a future where sustainable shopping is no longer a niche choice but a national standard, made possible by subsidies that eliminate the price barriers currently facing consumers.

Using a segmented Bass diffusion model, my research tracks how innovation and social contagion ripple across rural and urban landscapes. The results suggest a rapid cultural shift: with the right incentives, a majority of American households could adopt sustainable shopping practices in less than 20 years. As this tide of demand rises, the …

Ai Data Centers: Energy, Water, And Cooling Demands, Trenton Doty, Robert Estrada Chavez, Carissa Allt, Nazifa Bakhshi, Sean Buck, Michael Deur, Alex Anta, Miranda L. Nelson, Sondra Miller

2026 Undergraduate Research Showcase

Artificial intelligence (AI) data centers require substantial electrical power to meet increasing computational demands. These centers generate significant waste heat, necessitating extensive cooling systems. Approximately 70–80% of data centers rely on evaporative cooling systems because of their high energy efficiency [1]. Although this method is very effective, it consumes large volumes of water compared to a traditional air conditioning system. In 2025, data centers in Texas alone were estimated to use approximately 25 billion gallons of water [2]. With AI infrastructure projected to expand rapidly, water consumption in Texas could increase to an estimated 161 billion gallons annually by 2030 …

Molecular Cloning And Bioinformatic Analysis Of S. Aureus Surface Antigens For Chimera Vaccine Development, Jack Wood, Ruben Ferreira Paiva, Micah David, Juliette Tinker

2026 Undergraduate Research Showcase

Staphylococcus aureus is a primary cause of bovine mastitis, which has significant agricultural and economic implications, affecting the health of cattle and dairy production globally. As antibiotic resistance increases, providing a preventive vaccine is essential to alleviate the economic burden and improve herd health. The goal of our research is to identify and clone immunogenic S. aureus genes that can serve as components of a future cholera toxin chimera subunit vaccine targeting S. aureus infections. The target genes, which encode potential surface antigens, were amplified by Polymerase Chain Reaction (PCR) and directionally ligated into a high-expression vector that will create …

Improving Interagency Processes Within The Idaho Child Fatality Review Taskforce, Carmela Lencioni, Paige Kunst, Hilary Hammerbolt

2026 Undergraduate Research Showcase

The Idaho Child Fatality Review Team (CFRT), established in 2013 under Executive Order No. 2012-03, brings together multidisciplinary experts to review deaths of children under age eighteen across Idaho. The team identifies recurring risk factors and informs strategies to prevent future fatalities. While CFRT is unique to Idaho, similar review teams operate nationwide as part of broader child safety efforts. The primary project goal was to examine child fatality patterns and conduct trend and geographic analyses using CFRT data. Qualitative case data were converted into a quantitative dataset, with risk factors coded as dichotomous variables. However, early assessment revealed substantial …

Valorization Of Dairy Wastewater Biomass Through Hydrothermal Liquefaction, Logan Mallory, Josue Duran, Morgan Fong, Rose Saxton, Owen Mcdougal

2026 Undergraduate Research Showcase

The production of dairy products generates millions of gallons of wastewater every day. Processors treat the wastewater using methods called flocculation and suspended air flotation to capture and collect the solids from the water. The solids form a high-moisture (~85-90%) sludge, called flocs, that is hauled away and sold as low-value animal feed. The current research study aims to convert the flocs obtained from the treatment of Greek yogurt processing wastewater into a biocrude for energy utilization through hydrothermal liquefaction (HTL). HTL is a process that transforms organic material into hydrocarbon-dense biocrude through conditions of high temperature, typically in the …

Is Dpph A Candidate Molecule For Quantum Computing Research At Room Temp Via Esr Spectroscopy?, Amber Mcnaughton

2026 Undergraduate Research Showcase

Quantum computing is a rapidly developing field in physics with the potential to solve complex problems that are beyond the capabilities of classical computers. This advantage comes from the use of qubits, which can exist in multiple states rather than the fixed binary states of classical bits. A major challenge in quantum computing research, however, is that most experiments require extremely low temperatures — often near −270°C — to maintain quantum behavior. Achieving these temperatures demands expensive, specialized equipment, making such research difficult to access for many scientists.

The organic molecule diphenyl-picryl-hydrazyl (DPPH) offers a promising solution to this limitation. …

The Cultivating Of The American Mind: Challenging Misconceptions Of Gen Z Through Shared Values, Sailor Nelson

2026 Undergraduate Research Showcase

This study addresses growing misunderstandings across generational and cultural groups in an increasingly globalized world (e.g., Spencer, 2023; Kamal & Courtheyn, 2024). These divides are often reinforced by in-group/out-group mentalities and misconceptions surrounding values and behaviors. These misconceptions obscure shared foundations of meaning-making and illuminate persistent social disconnects between groups (i.e., generations, e.g., “The Coddling of the American Mind” by Haidt & Lukianoff, 2018). Drawing on “Southern theorizing” (Kamal, 2024), this project emphasizes the importance of attending to diverse knowledge systems and lived experiences to better understand how values are constructed and expressed.

Using thematic analysis (Braun & Clarke, 2006), …

Communities And Languages In Contact: The Future Of Náhuatl In México, Maxwell Von Gunten

2026 Undergraduate Research Showcase

My project’s intended topic and goal is to conduct a research project based on multilingualism—more specifically the use of the indigenous language Nahuatl in central Mexico within the communities and the education system. I plan to read linguistic research about this indigenous language, historical documents, and use the internet to find real life examples of people using Nauhuatl in a natural setting. I think this research project ties seamlessly into the content of Spanish 498, wherein, the course focuses on multilingualism in our world and more specifically that of Spanish and how it is influenced by other languages. This research …

Climate Controls On Glacier Snow Cover Variability In Western North America, Madelyn R. Woods, Ellyn M. Enderlin, Rainey Aberle

2026 Undergraduate Research Showcase

Mountain glaciers are sensitive indicators of climate variability and influence freshwater availability in alpine regions. This study examined climatic controls on glacier snow cover variability across 20 glacier sites in western North America. Glacier locations were selected using the Randolph Glacier Inventory (RGI), a global database of glacier outlines derived from satellite observations. Snowline upper and lower bounds were compiled from remotely sensed observations and summarized by year to identify minimum and maximum snowline elevations.

Climate variables including air temperature, precipitation, snowfall, and positive degree days (a proxy for melt) were extracted from the ERA5-Land dataset, a global atmospheric reanalysis …

Brandon Price V. Associated Press

2026 Decisions

USDC for the Western District of Pennsylvania

Randall Winslow V. Extra Space Storage

2026 Decisions

USDC for the Eastern District of Pennsylvania

Matthew Donohue V. Capella University Llc

2026 Decisions

USDC for the District of New Jersey

Staff Education On Early Sepsis Recognition For Medical-Surgical Nurses In The Acute Care Setting, Nadine Nzenga Udom

Walden Dissertations and Doctoral Studies

In this staff education project, I targeted early sepsis recognition and response among medical-surgical nurses. The practice gap at the site was nurses’ limited knowledge of sepsis indicators and screening tools, which contributed to delayed escalation of care. The practice-focused question guiding the project was “Does educating medical-surgical nurses on early sepsis recognition and response improve knowledge of early sepsis recognition and response?” I applied the analysis, design, development, implementation, and evaluation (ADDIE) and Johns Hopkins Evidence-Based Practice (JHEBP) models to design a structured sepsis education program for nursing staff. I searched for peer-reviewed literature via databases accessed through the …