Digital Commons Network^™

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. …

Research On The Truth, Function And Common Principles Of Simulation, Haohua Xu, Bin Xiao, Yunhao Cui

Journal of System Simulation

Abstract: Simulation applications are becoming increasingly widespread and have a greater impact, while the theoretical foundation of simulation is relatively weak. This article provides a new definition of simulation by analyzing the common activities of simulation, which can include both virtual and real simulation forms; referring to Popper's three worlds theory, this paper discusses the objective authenticity of simulation from a philosophical perspective; From a methodological perspective, this paper elaborates on the methodological characteristics of simulation as an indirect cognitive object, revealing its significance in integrating human-machine intelligence and promoting knowledge evolution. It also discusses the common principles of simulation, …

Solving The Vehicle Routing Problem Based On Deep Reinforcement Learning, Ming Jiang, Tao He

Journal of System Simulation

Abstract: The capacitated vehicle routing problem (CVRP) is a well-known combinatorial optimization challenge recognized as NP-hard due to its significant complexity. Building upon existing research, this paper introduces a novel end-to-end deep reinforcement learning approach based on a multi-pointer Transformer to tackle the CVRP. The proposed algorithm employs an invertible residual network in the encoder to encode input features, effectively reducing memory consumption. In the decoder, a multipointer network determines the probability distribution of solutions. To further enhance the performance of CVRP solutions, the algorithm leverages the symmetry in combinatorial optimization by implementing multi-trajectory parallel processing during both training …

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.

Socio-Economic Risk Of Rising Compound Precipitation-Wind Extremes In San Francisco Bay Area, Nikhil Kumar, Gregory Brian Pasternack, Yufang Jin, Serena Alexander, Zhihao Wang, Costanza Rampini, Rune Storesund, Chris Lim, Stephanie Moreno, Igor Lacan

Faculty Research, Scholarly, and Creative Activity

Compound precipitation-wind extremes (CPWEs) pose significant socio-economic challenges in urban areas, with the most severe impacts often felt by vulnerable populations. While CPWE studies have often focused on large-scale assessments, localised urban contexts, at a scale of a city and its suburban surroundings, remain understudied, particularly in terms of how CPWEs might differentially impact different socio-economic communities. This study aims to advance understanding of how CPWEs interact with social vulnerability at a localised scale, using the San Francisco Bay Area (SFBA)—a global hotspot for CPWEs with diverse climates, physiography, and socio-economic factors—as a test case. Daily precipitation and wind speed …

Utilization Of A Traveling Education Cart To Provide In-Situ Education, Tracy Montesa, Jennifer Tokarski

Nursing

Purpose/Rationale: After analyzing safety events and two learning needs assessments, an opportunity for improving cardiovascular and respiratory knowledge was evident. In-situ education was implemented to accommodate competing priorities such as time constraints and patient acuity. The education evaluated learners’ knowledge, skills, and confidence. Synthesis of Evidence: Evidence shows that interactive, simulation-based activities effectively engage learners and enhance critical thinking through application to clinical scenarios. There is also support for implementing a traveling education cart to disseminate information in a concise, flexible small-group format. CINAHL, PubMed, and Google Scholar databases were used to locate 19 references and adopt 6 articles to …

Introduction, Rosalind Latiner Raby

Journal of Comparative & International Higher Education

No abstract provided.

Teacher Educators’ Languaging For More Just English Language Education In Ecuador, Adeline De Angelis

Journal of Comparative & International Higher Education

This article describes how English language teacher educators in Ecuador envision their languaging practices contributing to more just English language education in a Global South context. The study took a capabilities approach informed by Latin American decolonial theory. Findings are based on a qualitative thematic analysis of focus group interviews conducted with 37 instructors teaching English language teacher education content courses at 18 universities. The findings illustrate two distinct theories of change: through best practices and through contextualization. Teacher educators linked English-only practices with developing teacher English proficiency, holding teachers accountable to standards, and preparing them to ultimately enact global …

Book Review, Borey Be

Journal of Comparative & International Higher Education

No abstract provided.

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 …

Bioresources And Bioproducts: A New Open Access Journal, Ronald C. Sims

Biological Engineering Faculty Publications

Greetings to the bioresource and bioproducts community! I will serve as the Editor-in-Chief to collaborate with you as we promote the aims and scope of this new MDPI journal [1], with the help of its distinguished Editorial Board, by publishing Special Issues, Topics, Topical Collections, and Editorials, and by providing high-impact scholarship through the outstanding published work of each of our contributors.

Full Pdf Issue 17(4) 2025

Journal of Comparative & International Higher Education

No abstract provided.

Anylogic-Based Platform-Enterprise Collaborative Scheduling Simulation System For Cloud Manufacturing, Linxuan Wang, Yongkui Liu, Lin Zhang, Tingyu Lin, Lihui Wang

Journal of System Simulation

Abstract: Aiming at the lack of research on collaborative scheduling between a cloud manufacturing platform and associated enterprises, as well as the lack of simulation systems to simulate scheduling strategy combinations and to visualize dynamic scheduling processes, a simulation system that supports visualization of cloud manufacturing platform-enterprise collaborative dynamic scheduling processes is designed and developed. System requirements are analyzed in detail, and then a scalable platform-enterprise collaborative scheduling model and system functional architecture based on hierarchical multi-agents is proposed. Combined with a case of supply chain of industrial robots, considering random selection, time optimal strategy in the cloud manufacturing …

Digital Twin Modeling Method For Bulk Cargo Stacks Based On 2d Lidar, Houjun Lu, Yifei Zhu, Yanping Rong, Wanghui Zhang

Journal of System Simulation

Abstract: Due to the characteristics of large equipment, harsh working environment and time-varying shape of the material pile in bulk cargo terminal, there are some disadvantages such as low data accuracy and poor stability when building the storage yard model, which affects the unmanned and intelligent operation control. In this paper, we use two-dimensional laser radar combined with equipment mechanism motion to scan material pile point cloud data, present a digital twin modeling method for bulk storage yard, which includes static scene construction of storage yard and real-time modeling of material pile. Prefabricated models are used for the static scenes …

Control Strategy For Uav Cluster Formation Rendezvous Based On Lde-Maddpg Algorithm, Wei Xiao, Jiabo Gao, Xueliang Ke

Journal of System Simulation

Abstract: To solve the problem of difficulty in UAV cluster formation rendezvous based on MADDPG algorithm, an autonomous collaborative control strategy based on LDE-MADDPG algorithm is proposed. To address the issues of weak generalization, poor scalability, and slow cluster training process of MADDPG algorithm, LDE-MADDPG algorithm was proposed by designing a state feature learning network and a decoupled Critical network. By integrating LDE-MADDPG algorithm with strategy generation elements such as the decoupled reward function, cluster state space, and UAV action space, a control strategy for UAV cluster formation endezvous that can adapt to diverse formations and varying quantities has been …

Nigerian Immigrant Mothers’ Parenting Style In Supporting Academic Achievement In Their Children, Ganiyat Olasumbo Saidu

Walden Dissertations and Doctoral Studies

Supporting their children’s academic activities while navigating the socioeconomic norms of the new system continues to be a significant challenge for most immigrant parents in urban areas of the United States. However, there is inadequate literature on the parenting behaviors used by Nigerian immigrant parents to support their children’s academic achievement. The purpose of this qualitative study was to understand how Nigerian immigrant mothers describe the parenting styles that support their children’s academic achievement. The theoretical framework for this study was Bandura’s (1977) social cognitive theory and Baumrind’s (1966) theory of parenting styles. For this basic qualitative study, the population …

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

Front Matter (Letter From The Editor, Masthead, Etc.)

The Contemporary Tax Journal

No abstract provided.

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 …

Editorial: Wearable Technology: The New Ornament Of Network Physiology, Ankita Srivastava, Santosh Kumar Yadav

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

Introduction: The landscape of personal health monitoring is rapidly transforming, driven by advances in wearable technology. These devices, designed to be worn comfortably on the body, can capture real-time physiological data often difficult to obtain in traditional clinical settings. What began as a simple device for activity trackers for walking steps, heart rate, and blood oxygen saturation has evolved to play a crucial role in monitoring more complex physiological parameters critical for chronic disease management and preventative health.

The integration of artificial intelligence (AI) is further expanding the potential of wearable devices, enabling deeper analysis and predictive modeling of the …

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 …

Benefit Distribution Optimization Model And Simulation For Multi-Mode Operation Of Industrial Software Platforms, Rongyu Guo, Xiaobin Li, Pei Jiang, Chuanjiang Li, Shanhui Liu, Jun Ma

Journal of System Simulation

Abstract: Industrial software service platforms, characterized by low-cost investment, customized services, and rapid application deployment, have been widely adopted in small and medium-sized industrial clusters. The benefit distribution mechanism under multi-mode operation is crucial to the sustainable development of such platforms. To address the current challenges of single-operation models and the difficulty in adapting to diverse service scenarios, this study focuses on two core stakeholders that users and software developers to analyze the core service components and cooperation mechanisms of industrial software service platforms in a multi-mode operational environment. By integrating the function point method, a multi-mode user demand quantification …

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 …

Disparities In Liver Transplantation For Metabolic Dysfunction-Associated Steatohepatitis-Associated Hepatocellular Carcinoma, Elizabeth W Brombosz, Analisa Lopez, Tamneet Basra, Edward A Graviss, Duc T Nguyen, Ashish Saharia, Ashton A Connor, Maen Abdelrahim, Yee Lee Cheah, Caroline J Simon, Mark J Hobeika, Constance M Mobley, R Mark Ghobrial

Faculty, Staff and Students Publications

Background: Metabolic dysfunction-associated steatohepatitis (MASH) is increasingly common, as is hepatocellular carcinoma (HCC) in the background of MASH. Liver transplantation (LT) provides superior long-term survival for patients with unresectable MASH-HCC, but not all patients have equal access to transplant. MASH-HCC disproportionately affects Hispanic patients, but minorities are less likely to undergo LT for HCC. Additionally, females also undergo LT at lower rates than males.

Aim: To investigate whether race/ethnicity and sex affect LT waitlist outcomes.

Methods: Records of adults with MASH-HCC in the United States Organ Procurement and Transplantation Network database listed for LT between 1/2015 and 12/2021 were analyzed. …

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

Academic Affairs Committee Minutes

No abstract provided.

The Resurgence Of The Rap Act: Why Industry Professionals Enthusiastically Support This Bill, Ansley Henderson

Cardozo Arts & Entertainment Law Journal (AELJ) Blog

Artists release music and write songs to create art, not to offer any sort of criminal confession. Yet, dating back to a 1996 criminal trial involving Snoop Dogg, artists’ lyrics have been admissible as evidence in criminal and civil trials. Most recently, rapper Young Thug, was accused of being the head of a violent gang based solely on lyrics from his songs as evidence. His case sparked nationwide controversy regarding the constitutionality of his lyrics being admitted as key evidence at trial. The rapper’s popular music collective known as “Young Stoner Life,” was posited by prosecutors to actually be a …

Decolonizing Colombian Foreign-Language Classroom Assessments: A Meaningful Framework, Patricia Grillet Rodriguez

Journal of Comparative & International Higher Education

In Colombia, foreign-language evaluation validity appears to be mainly related to the analysis of instruments, leaving aside students’ characteristics, affective schemata and expectations. Drawing from critical pedagogy, this study aimed at raising authenticity and meaningfulness in the development of valid foreign-language assessments in a higher education classroom. Framed in the sociocultural perspective, the teacher/researcher and her students obtained substantial gains by adapting a syllabus and evaluation system to better respond to the needs of their context. It was a collaborative process that implied contextualizing contents, establishing a concept of language ability, and including students’ voices in the design of assessments, …