Digital Commons Network^™

Bradley Livingston V. Anthony Gallina

2025 Decisions

USDC for the District of New Jersey

Harmonizing With Nature In Cities, Mojtaba Parsaee

Publications

Urban resilience is rooted in our ability to harmonize with nature and cultivate deeper relationships with local climates. Mojtaba Parsaee reflects on how the historic neighborhoods of four cities have nurtured his poetic bond with harsh climates, which inspires his vision of resilience.

Integrated Mirna-Mrna Analyses Of Triple-Negative Breast Cancer In Black And White Patients With Or Without Obesity, Fokhrul Hossain, Martha I. Gonzalez-Ramirez, Jone Garai, Diana Polania-Villanueva, Li Li, Farzeen Nafees, Md Manirujjaman, Bolin Liu, Samarpan Majumder, Xiao Cheng Wu, Chindo Hicks, Luis Del Valle, Denise Danos, Augusto Ochoa, Lucio Miele, Jovanny Zabaleta

School of Graduate Studies Faculty Publications

Triple-negative breast cancer (TNBC) is an aggressive, heterogeneous subtype of breast cancer. miRNAs play an essential role in TNBC pathogenesis and prognosis. Obesity is linked with an increased risk for several cancers, including breast cancer. Obesity is also related to the dysregulation of miRNA expression in adipose tissues. However, there is limited knowledge about race- and obesity-specific differential miRNA expression in TNBC. We performed miRNA sequencing of 48 samples (24 tumor and 24 adjacent non-tumor tissues) and RNA sequencing of 24 tumors samples from Black (AA) and White (EA) TNBC patients with or without obesity. We identified 55 miRNAs exclusively …

Framework For Assessing Sustainability In Industry 4.0: Supply Chain Optimization, Manufacturing Processes, And Energy Consumption Reduction, Mohamed Abouhawwash, Nebojsa Bacanin

Sustainable Machine Intelligence Journal

Decision making has uncertainty problems in evaluation process, so to overcome uncertainty existing fuzzy decision-making approaches, the neutrosophic set is used to solve incomplete data. Interval valued neutrosophic numbers (IVNNs) are used in this study to solve uncertainty problems. The IVNNs are used with the multi-criteria decision making (MCDM) methods. MCDM method is used to deal with different criteria and alternatives. This study proposes an MCDM methodology for assessment sustainability in industry 4.0. Twenty cases and ten alternatives are used in this study. The criteria weights are computed using the average method. The alternatives are ranked using the ARAS method. …

Speciation Of Heteroatom-Containing Pyrolysis Oils By Multidetector Gcxgc, Francesco Scorcioni, Tiziana Benelli, Kevin M. Van Geem, Angelo Ferrando

PYROLIQ III – 2025: Pyrolysis and Liquefaction of Biomass and Wastes

Please click Additional Files below to see the full abstract

2025.09.18 - Board Of Trustees Meeting Minutes, Northeastern Illinois University Board Of Trustees

Board of Trustees - 2025

Meeting materials for the NEIU Board Trustees

Design And Prediction Of Deep Fuzzy Neural Network, Chengbiao Wei, Taoyan Zhao, Jiangtao Cao, Ping Li

Journal of System Simulation

Abstract: A deep fuzzy neural network (DFNN) is proposed to solve the problem that the deep neural network has poor interpretability and the correction of the model is not targeted when dealing with the big data regression prediction problem. The proposed deep fuzzy neural network adopts an adaptive fuzzy Cmeans (AFCM) clustering algorithm in structural learning. The structure of the model, namely the number of rules and the antecedent parameters of the rules, is determined by calculating the introduced validity function. The identification of consequent parameters uses an improved grey wolf optimization (IGWO) algorithm. By replacing the linear decreasing strategy …

Abnormal Invasive Hemodynamics In Heart Transplant Recipients, Navin Rajagopalan, Donna R. Dennis, Julia Akhtarekhavari, Kenneth Campbell

Physiology Faculty Publications

BACKGROUND Few studies have quantified invasive hemodynamic parameters in post heart transplant recipients. AIM To report the incidence of abnormal hemodynamics in heart transplant recipients at 1-year and 3-year post-transplant and determine if there was any correlation with recipient and donor characteristics. METHODS Data from 279 consecutive heart transplant recipients from 2007 through 2020 were analyzed. Clinical variables regarding both recipients and donors as well as hemodynamic variables obtained via right heart catheterization during 1-year and 3-year annual testing were recorded. Simple and multiple linear regression tests were used to determine how recipient and donor variables influenced hemodynamic parameters at …

Perceived Knowledge And Confidence Of Beta-Lactam Allergy Management Among Pharmacy Students On Advanced Pharmacy Practice Experiences., Jamie L Wagner, David R Oliver, Bruce M Jones, Kayla R Stover, Misha T Watts, Wesley D Kufel, Lena Mcdowell, Edo-Abasi U. Mcgee, T Lynn Stevenson, Christopher M Bland

PCOM Scholarly Works

Pharmacist engagement in allergy clarification has demonstrated increased appropriate antibiotic use. The purpose of this study was to determine the knowledge and confidence of pharmacy students in their final professional year regarding beta-lactam (BL) allergies. Students from 5 schools of pharmacy participated in a 22-question survey pertaining to experience with drug allergies, knowledge of BL allergies, and confidence regarding BL allergy management. Data were summarized among all respondents and further analyzed by infectious disease (ID) interest. A total of 160/521 students responded to the survey (31%). Most students (73%) had no course dedicated to drug allergies; however, 84% indicated the …

The Cowl - V. 89 N. 1 - September 18, 2025

The Cowl

The Cowl - student newspaper of Providence College. Vol. 89 No. 1 - September 18, 2025. 20 pages.

317 W. 89th St. Llc V. Bell

All Decisions

In this licensee holdover proceeding, the Appellate Term, First Department, affirmed a Civil Court order denying the landlord's motion to strike the tenant's jury demand. The court held that a jury trial is appropriate where the tenant's counterclaims for harassment and discrimination seek only money damages, making the relief sought legal, not equitable, in nature. The tenant's appeal concerning the striking of her affirmative defenses was deemed abandoned. This decision establishes that counterclaims for monetary damages in a holdover proceeding, even if tied to harassment or discrimination, warrant a jury trial.

Montana Kaimin, September 18, 2025, Students Of The University Of Montana, Missoula

Montana Kaimin, 1898-present

Student newspaper of the University of Montana, Missoula.

Anthem 2.0: Automated Reasoning For Answer Set Programming, Jorge Fandinno, Zachary Hansen, Yuliya Lierler, Christoph Glinzer, Jan Heuer, Torsten Schaub, Tobias Stolzmaan, Vladimire Lifschitz

Computer Science Faculty Publications

ANTHEM 2.0 is a tool to aid in the verification of logic programs written in an expressive fragment of CLINGO ’s input language named MINI-GRINGO, which includes arithmetic operations and simple choice rules but not aggregates. It can translate logic programs into formula representations in the logic of here-and-there and analyze properties of logic programs such as tightness. Most importantly, ANTHEM 2.0 can support program verification by invoking first-order theorem provers to confirm that a program adheres to a first-order specification or to establish strong and external equivalence of programs. This paper serves as an overview of the system’s capabilities. …

Legends, Lies, & Rewritten Lives: After The Little Bighorn: Forgotten Struggles Of Those Who Walked Away, Thomas B. Davidson

DU Textbooks

This Narrative is about an event that occurred on June 25, 1876, on the banks of the Little Bighorn River in what is now the state of Montana. Seen from a 21st century perch, it tells a story of a contest between the armed representatives of two different civilizations, each of which fought in the manner of its society. The narrative will attempt to balance the truth of what happened while also relating an engaging story, but without drifting into sensationalism. The narrative will go beyond a focus on the meeting of the soldiers from either group to explore the …

Behavioral Assessment Software: Enhancing Polygraph And Investigative Interviewing, Alan Saquella

Publications

In the rapidly evolving world of security, law enforcement, and investigative sciences, professionals are increasingly turning to advanced technologies to supplement tried-and-true methodologies. One emerging innovation is behavioral assessment software, designed to enhance both pre-employment screening and investigative interviewing. Acting as a form of modern human intelligence collection, these tools enable examiners and investigators to gather deeper insights directly from candidates and subjects, revealing behavioral cues and risk indicators that might otherwise remain hidden (Vrij, 2008).

Importantly, behavioral assessment software is not intended to replace polygraph or other traditional investigative methods. Instead, it functions as a complementary resource—one that provides …

Spartan Daily, September 18, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 12

Spartan Daily, September 23, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 12

Generative Ai For Medical Data Augmentation: A Two-Dimensional Review Of Techniques, Modalities, And Governance Challenges, Eman Sayed, Sara M. Mosaad

Sustainable Machine Intelligence Journal

Generative Artificial Intelligence has emerged as a transformative tool in healthcare by addressing persistent limitations in medical data availability, including annotation scarcity, privacy restrictions, and demographic underrepresentation. Instead of relying solely on real-world samples, generative models synthesize clinically realistic data that support model robustness, simulate rare conditions, and improve representation across patient groups. This review presents a comprehensive synthesis of four widely adopted generative model classes: Generative Adversarial Networks, Variational Autoencoders, Diffusion Models, and Transformer-based architectures. These models are examined across four key clinical data categories, including radiological imaging, structured electronic health records, physiological time series, and free-text clinical narratives. …

Ws-Fall: Fall Detection Attention-Based Approach Using Wifi And Inertial Data Modalities, Alaa Elmor, Bilal Arain

Sustainable Machine Intelligence Journal

According to the World Health Organization, 37 million falls occur every year which leads to sever injuries that require medical intervention. In addition, more than 600,000 people end up dying due to falls making them the second cause of accidental injury fatalities worldwide. Specifically, the elderly are more prone to fatal falls. Therefore, fall detection systems are needed to allow medical professionals to intervene in such cases. Various wearable and non-contact fall detection devices have been developed recently. Since non-contact Wi-Fi-based methods are widely available and non-intrusive, they are gaining popularity. In this paper, we propose a state-of-the-art fall detection …

Quaker Campus, September 18, 2025 (Vol. 24, Issue 2), Whittier College

Quaker Campus

No abstract provided.

Research On Real-Time Cgf Maneuvering State Generation Method Based On Random Finite Set, Xiaoyan Zhang, Ge Li, Peng Wang

Journal of System Simulation

Abstract: With the rapid development of sensor networks and other technologies, the acquisition of measurement data in the real physical space has become easier. How to utilize the measurement data from the real battlefield space to improve the accuracy and credibility of CGF simulation is the key issue to realize the CGF simulation combining virtual and real. The method is studied of using real measurement data to generate CGF model maneuvering state data in real time, in order to realize the virtual-real synchronization and real-time mapping between the real battlefield and CGF simulation system, and to provide environmental inputs for …

Mymoney: A Program That Leverages Digital And Artificial Intelligence Tools For Improving The Financial Wellbeing Of Hispanic Families, Luisa Blanco, Kamila Campos, Jessica Gonzalez, Jorge Macias

School of Public Policy Working Papers

Abstract: Our Community-Based Digital Intervention (CBDI) MyMoney was designed to meet the informational needs and promote behavioral change among Hispanic adults. We leverage Digital and Artificial Intelligence (DAI) tools to provide participants access to content that is linguistically and culturally tailored and structured to be delivered in short, accessible modules. MyMoney program provided an introductory experience to financial education with a mobilephone based approach, offering a four-week experience for improving money management skills. We conducted an extensive quantitative and qualitative data analysis of participants’ and stakeholders’ program experience and perspectives, which provides important insights for the design, evaluation, and implementation …

Who Gets Stitches? The Effects Of Rewarding Whistleblowers And Protecting Their Identity On Subsequent Willingness To Work With Others, Ryan D. Sommerfeldt

Faculty Publications

Companies are strongly encouraged to implement whistleblowing programs to help detect and deter misconduct in organizations, but whistleblowers often face ostracism as their coworkers are less willing to work with them (the whistleblower effect). Rewarding the whistleblower and protecting the whistleblower’s identity are two highly recommended features of whistleblowing programs that aim to encourage reporting. Across two experiments, I examine the spillover effects of these whistleblowing program features on how willing employees are to work with their coworkers after reporting occurs. I find that providing a reward to the whistleblower exacerbates the whistleblower effect, leading employees to work even less …

September 18, 2025, The Daily Mississippian

Daily Mississippian (all digitized issues)

No abstract provided.

September 18, 2025, James Madison University

The Breeze, 2020-

The Breeze is the student newspaper of James Madison University in Harrisonburg, Virginia.

Kenyon Collegian - September 18, 2025

The Kenyon Collegian

No abstract provided.

Collecting And Sharing Person-Centered Ai Clinical Summaries Across Frailty Services Provided By The National Health Service And Voluntary, Community, And Social Enterprise: Protocol For A Co-Design And Feasibility Study, Kieran Green, John Downey, Sheena Asthana, Oscar Ponce Ponte, Joanne Watson

School of Nursing and Midwifery

Background:Due to its association with multimorbidity, frailty gives rise to multidimensional needs for different services. Too often, patient preferences and service encounter information are not adequately shared.Objective:This developmental study aims to co-design, collect, and analyze encounter data from multiple community and primary-based multidisciplinary teams (MDTs) providing services for people with frailty to develop prototype large language models that can generate clinical and person-centered care summaries.Methods:Engaging stakeholders in 2 primary care networks, we will co-design the large language model to ensure it meets local needs and preferences as well as infrastructure, information governance, and regulation requirements. General practitioners will identify 50 …

Linder V. Lafayette Morrison Hdfc

All Decisions

The Appellate Term affirmed a lower court's decision granting summary judgment to the tenant in an illegal lockout proceeding. The tenant, son of a deceased rent-stabilized tenant, had been locked out after a prior holdover proceeding against his father and him was dismissed without prejudice to a licensee holdover. The court held that the tenant, having previously asserted succession rights and acknowledged occupancy, was either a lawful occupant or in constructive possession and could not be evicted without due legal process, reinforcing the principle that self-help evictions are impermissible.

September 2025 Academic Affairs Minutes, University Of Nebraska At Kearney Academic Affairs Committee

Academic Affairs Committee Minutes

No abstract provided.

Ai Test Modeling For Computer Vision System—A Case Study, Jerry Gao, Radhika Agarwal

Faculty Research, Scholarly, and Creative Activity

This paper presents an intelligent AI test modeling framework for computer vision systems, focused on image-based systems. A three-dimensional (3D) model using decision tables enables model-based function testing, automated test data generation, and comprehensive coverage analysis. A case study using the Seek by iNaturalist application demonstrates the framework’s applicability to real-world CV tasks. It effectively identifies species and non-species under varying image conditions such as distance, blur, brightness, and grayscale. This study contributes a structured methodology that advances our academic understanding of model-based CV testing while offering practical tools for improving the robustness and reliability of AI-driven vision applications.