Digital Commons Network^™

Characterized Trigonometric Quadripartitioned Neutrosophic Sets Based On Weighted Operators, Murugan Palanikumar, Nasreen Kausar, Tonguc Cagin

Neutrosophic Sets and Systems

No abstract provided.

Mr-Metric Spaces: Theory And Applications In Fractional Calculus And Fixed-Point Theorems, Abed Al-Rahman M.Malkawi, Ayat M. Rabaiah

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Sets And Systems, Vol. 90,2025, Florentin Smarandache, Mohamed Abdel-Basset, Maikel. Leyva Vazquez

Neutrosophic Sets and Systems

No abstract provided.

Analysis Of Modern Research In The Field Of Automation And Digitalization Of The Dairy Industry, N.A Kabulov, U.K. Sabirov, A.K. Oqilov

Chemical Technology, Control and Management

This article presents a systematic analysis of modern research aimed at the advancement of automation and digitalization technologies in the dairy industry, with particular emphasis on the processes of product sorting and quality control. The main directions of digital solution implementation are examined, including the use of robotic sorting lines, computer vision systems, spectral analysis sensors, and artificial intelligence tools for the automatic verification of product compliance with established standards. A comparative analysis of existing approaches to the implementation of intelligent control systems within the technological cycle — from raw material intake to packaging and finished product logistics — is …

Investigation Of The Fuel Combustion Process In Gas-Fired Furnaces For Automation Systems, N.R. Yusupbekov, Sh.M. Gulyamov, A.T. Rajabov, U.U. Kholmanov

Chemical Technology, Control and Management

The regularities of the combustion process of gaseous fuel in chamber furnaces are described. This process represents a homogeneous reaction in which there is no distinct boundary surface between the fuel and the oxidizer. It is shown that the latter either mix and then burn subsequently, or both processes occur simultaneously, corresponding respectively to kinetic and diffusion combustion. The structure of a turbulent-diffusion flame of gaseous fuel combustion is presented.

Analysis Of A Cloud-Based Robot Motion Planning System, Yusif Mardanzade, Latafat Abbas Gardashova

Chemical Technology, Control and Management

As a result of the integration of cloud computing technologies into the field of robotics, the concept of "cloud robotics" has emerged. Unlike traditional robots, cloud-based robot systems remove computation, memory, and even some software from the local device and rely on remote resources obtained over the network. This approach ensures that robots are not limited only by their internal computing capabilities and allows them to take advantage of the wide range of opportunities offered by the cloud infrastructure. As a result, robots have access to large databases, highly parallel computing, and collective learning capabilities anytime and anywhere. In addition, …

Algorithms For The Synthesis Of A Temperature Control System For The Inner Tube Heat Exchanger With A Steam Jacket, H.Z. Igamberdiyev, Jasur Sevinov, U.F. Mamirov, Sh.M. Abdishukurov

Chemical Technology, Control and Management

The synthesis of a feedback propagation control law for an inner tube heat exchanger with a steam jacket is addressed in this text. A controller has been developed that, based on temperature measurements taken at four points. The maintains the output temperature at a specified level by acting on the steam jacket temperature. To determine the parameters of the plant, a linear quadratic optimal (LQ-optimal) algorithm is employed. In the considered case, the optimal controller includes a proportional–integral (PI) component, as well as an additional term that requires storing the control input over the current interval for its computation. The …

The Problem Of Identification Of Linear Stationary Objects With Distributed Parameters By Their Experimental Transient Characteristics, Miraziz Vorisovich Sagatov

Chemical Technology, Control and Management

A wide class of control system elements can be described with reasonable accuracy by the concept of a linear stationary dynamic object. Several mathematical descriptions of such an object are known. The traditional mathematical model is a high-order ordinary linear differential equation. In the Laplace image space, this corresponds to a fractional-rational transfer function. The latter can be decomposed into elementary fractions. Then, using the convolution theorem and tables of elementary Laplace transform functions, one can access the originals. It is crucial to ensure precise alignment of the parameters of the mathematical model of the object used in the corrector …

Intelligent Method Of Dynamic Control For A Class Of Stochastic Nonlinear Systems, Isamidin Khakimovich Siddikov, Davronbek Abdalimovich Khalmatov, Gulchekhra Rakhimjanovna Alimova, Dilnoza Rakhmanovna Khushnazarova

Chemical Technology, Control and Management

The paper considered the problems of researching the stabilisation system and backstepping control of stochastic nonlinear systems. The characteristics of stochastic nonlinear dynamic control systems are random signals with normal lawful distribution, which significantly complicates task control. In stochastic control, it is necessary to determine the trajectories of the control variables in order to achieve the desired control objective at minimum cost. Since the mathematical equations of stochastic nonlinear systems are not always constant, not every model-based controller can be accurate. Therefore, in this work, a neuro-fuzzy network is used to evaluate the parameters of the control system with backstepping, …

Reinforcement Learning In A Virtual World: A Study Of Ppo And Sac Within Unity Ml Agents, Rufat Mammadzada

Chemical Technology, Control and Management

This study explores the use of Unity3D as a versatile platform for developing, training, and evaluating intelligent agents through reinforcement learning. Leveraging the Unity ML-Agents Toolkit, a dynamic 3D environment was created to examine agent learning behavior using two advanced algorithms: Proximal Policy Optimization (PPO) and Soft Actor-Critic (SAC). The simulation environment consisted of navigable terrain bounded by red borders, with collectible blue balls serving as rewards and a purple cube representing the agent. A carefully designed reward system was implemented to encourage goal-directed behavior and penalize inefficiency, while time constraints introduced an additional challenge requiring both precision and speed. …

Prompting Better Research - Integrating Ai Into Information Literacy, Taylor Gilmore

HIIT 2025

No abstract provided.

Implementing Responsible Artificial Intelligence In Marketing, V. Kumar, Ashutosh Dixit, Priyanka Sharma, Sudipendra Nath Roy

American Business Review

Ethical use of AI ensures equity and fairness for all stakeholders, leading to enhanced business performance. This conceptual paper explores the ethical implications of Artificial Intelligence (AI) in marketing through a literature synthesis grounded in ethical theory. Drawing on frameworks such as utilitarianism, deontology, virtue ethics, ethics of care, and contractarianism, the study identifies five key ethical challenges—monopolization, privacy, corporate social responsibility, human rights, and accountability. Real-world cases illustrate how these challenges manifest in practice. The paper proposes theory-driven solutions including data democratization, contextual data use, adherence to human rights protocols, and the establishment of AI governance mechanisms like ombudspersons. …

Risk Beyond Borders: How Exporters Navigate Background Risks In A Volatile Trade Landscape, Soumyatanu Mukherjee

American Business Review

This paper explores how exporting firms make production and allocation decisions when confronted with uninsurable background risks – such as abrupt policy shifts, logistical disruptions, and unforeseen compliance costs – that compound traditional exchange rate risks in global trade. Using a mean-variance (MV) utility framework, we model a representative firm’s optimal export behavior under jointly distributed risks and derive comparative static results that elucidate how changes in the magnitude and dependence structure of background risks affect export intensity. Unlike expected utility models, the MV approach offers tractable conditions that capture intuitive properties such as variance vulnerability and decreasing absolute risk …

Performance Of Arbitrage Mutual Funds: Risk, Fund Size And Market Sentiments – Evidence From India, Dmv Lakshmi Velagala, Satish Kumar, Kali Charan Sabat

American Business Review

We examine the theory of decreasing returns to scale by assessing the impact of fund size on the performance of arbitrage mutual funds in India. Fund manager of arbitrage funds with large fund size tend to hold cash equivalents due to inadequate arbitrage opportunities, resulting in underperformance. The study formulates four equally weighted portfolios of selected arbitrage mutual funds on the basis of fund size and applies market model and Jensen’s differential return model (1968) to examine the differential performance of portfolios. We apply Bhardwaj & Brooks dual beta model (1993) to assess performance of arbitrage fund portfolios across different …

Efficiency Of Liberal Arts Colleges: A Dea Analysis Of Non-Elite Lacs, Joshua C. Hall, Joylynn Pruitt, Daniel Bonneau

American Business Review

The demographic cliff, the effects of COVID-19, and shifts in regional preferences for higher education pose an important threat to Liberal Arts Colleges (LACs). While other studies have examined the efficiency of top-ranked LACs, this paper examines the colleges most challenged by the current environment. Using Data Envelopment Analysis (DEA) and 6-year graduation rate as the outcome of interest, our results show that the average LAC outside the top 100 ranked schools (according to U.S. News & World Report) operates at about 74 percent efficiency. Many schools within the sample score closer to 50 percent. These rankings are then evaluated …

Sharing Leadership In The Context Of Socioeconomic Diversity: Combining Shared Leadership And Socioeconomic Diversity For The Greater Good, Rebekah Dibble, Carlos S. Baradello

American Business Review

Shared leadership involves a collective effort where multiple identities, perspectives, skills, and experiences are incorporated into relational and decision-making processes. As such, we argue that diversity is a critical consideration in the presence of shared leadership. Specifically, we argue that socioeconomic diversity is an important consideration when engaging in collective forms of leadership; nevertheless, organizational research has yet to adequately understand shared leadership in this context. We identify this as a critical gap and draw upon qualitative data in our study of a large non-profit organization in Latin America to extend and develop theory on shared leadership in the context …

Harvesting Aav By Tangential Flow Filtration Using Reverse Asymmetric Membranes, Xiaolei Hao, Ronny Horax, Xianghong Qian, April Wheeler, Hironobu Shirataki, Sumith Ranil Wickramasinghe

Chemical Engineering Faculty Publications and Presentations

Efficient bioreactor clarification for harvesting virus particles is often challenging. Tangential flow filtration is attractive as it can be easily adapted for batch and perfusion operations. Here the feasibility of using reverse asymmetric hollow fiber membranes, where the more open support structure faces the feed stream, has been investigated for harvesting adeno associated virus serotype 2. The open support structure of these membranes stabilizes a secondary membrane consisting of rejected particulate matter. It is essential that the stabilized secondary membrane remains highly permeable. Flux stepping experiments were conducted in total recycle mode in order to determine the critical flux. The …

A Fake Friend? Ai Companions Are Exactly That, Seow Hon Tan

Research Collection Yong Pung How School Of Law

In a commentary, SMU Associate Professor of Law Tan Seow Hon discussed how AI companions, which promise emotionally intelligent companionship, have blurred the line between human and machine relationships by mimicking empathy, memory, and affection. She suggested that while such technologies may ease loneliness, they risk fostering narcissism, diminishing real human connection, and replacing authentic friendship with comforting illusions that erode the capacity for love and community.

Biophysical Processes Of Morphogenesis In Lizard Lungs, Kaleb Hill, Aaron H. Griffing, Michael A. Palmer, Bezia Lemma, Aria S. Lupo, Tony Gamble, Natalia A. Shylo, Andrej Kosmrlj, Paul A. Trainor, Celeste M. Nelson

Biological Sciences Faculty Research and Publications

Background

The lungs of squamate reptiles (lizards and snakes) are highly diverse, exhibiting single chambers, multiple chambers, transitional forms with two to three chambers, along with a suite of other anatomical features, including finger-like epithelial projections into the body cavity known as diverticulae. During embryonic development of the simple, sac-like lungs of anoles, the epithelium is pushed through the openings of a pulmonary smooth muscle mesh by the forces of luminal fluid pressure. This process of stress ball morphogenesis generates the faveolar epithelium typical of squamate lungs.

Results

Here, we compared embryonic lung development in brown anoles, leopard geckos, and …

A Century Of Sediment Metal Contamination Of Mar Menor, Europe's Largest Saltwater Lagoon, Irene Alorda-Montiel, Valentí Rodellas, Ariane Arias-Ortiz, Albert Palanques, Andrea G. Bravo, Júlia Rodriguez-Puig, Aaron Alorda-Kleinglass, Carlos Green-Ruiz, Marc Diego-Feliu, Pere Masqué, Javier Gilabert, Jordi Garcia-Orellana

Research outputs 2022 to 2026

Coastal enclosed ecosystems, such as lagoons, are vulnerable to anthropogenic impacts because they favor the accumulation of contaminants from the surrounding watersheds, particularly in their sediments. Europe's largest saltwater lagoon, the Mar Menor (SE, Iberian Peninsula), is a highly impacted ecosystem and the first in the continent to be granted personhood rights. Based on a high-resolution spatial and temporal dataset, we present the historical reconstruction of metal contamination in this ecosystem during the last century. Our results highlight that sediment metal contamination has been mainly driven by the development of the mining industry in the nearby Sierra Minera de Cartagena-La …

Adaptive Guard Band And Power Control For Resource Allocation In Mobile And Fixed Mission-Critical Iout Networks, Walid K. Hasan, Iftekhar Ahmad, Quoc Viet Phung, Daryoush Habibi

Research outputs 2022 to 2026

The Internet of Underwater Things (IoUT) is transforming underwater communication by enabling essential mission-critical applications such as precise navigation, emergency response coordination, diver safety, robust security and surveillance systems, and real-time environmental monitoring. However, Underwater Acoustic Communication (UAC), which serves as the primary communication medium for IoUT, experiences substantial challenges, including limited bandwidth availability, severe signal attenuation and Doppler-induced frequency shifts, especially pronounced in mobile underwater environments. These challenges degrade throughput and increase latency, making it difficult to meet the strict delay and reliability demands of mission-critical IoUT applications. Without adaptive solutions, real-time underwater communication remains unreliable and inefficient. This …

Singapore Awakened: How Success – And Flourishing – Shape Family, Seow Hon Tan

Research Collection Yong Pung How School Of Law

Assoc. Prof. (Dr.) Tan Seow Hon delivered the keynote address at Cultivate SG’s second annual conference, “Unfiltered – The Family on Trial”, on 17 November 2025. In her speech titled “Singapore Awakened: How Success – and the Alternative of Flourishing – Shape Family”, Dr Tan reflects on the “Singapore Dream”, the narrow mindset of success in contrast with the concept of flourishing, and how these impact marriage and family. She concludes by offering some thoughts on how to move from success to flourishing.

Cost-Optimized Energy Management For Urban Multi-Story Residential Buildings With Community Energy Sharing And Flexible Ev Charging, Nishadi Weerasinghe Mudiyanselage, Asma Aziz, Bassam Al-Hanahi, Iftekhar Ahmad

Research outputs 2022 to 2026

Multi-story residential buildings present distinct challenges for demand-side management due to shared infrastructure, diverse occupant behaviors, and complex load profiles. Although demand-side management strategies are well established in industrial sectors, their application in high-density residential communities remains limited. This study proposes a cost-optimized energy management framework for urban multi-story apartment buildings, integrating rooftop solar photovoltaic (PV) generation, shared battery energy storage, and flexible electric vehicle (EV) charging. A Mixed-Integer Linear Programming (MILP) model is developed to simulate 24 h energy operations across nine architecturally identical apartments equipped with the same set of smart appliances but exhibiting varied usage patterns to …

A Comparison Of Comparisons: Evidence From An International Comparative Study Of 'Smart Cities', Kevin Ward, Teresa Abbruzzese, Tim Bunnell, Paolo Cardullo, I-Chun Catherine Chang, Byron Miller, Ramon Ribera-Fumaz, Haeran Shin, Zachary Spicer, Orlando Woods

Research Collection College of Integrative Studies

Every year the list lengthens of cities with some sort of ‘smart city’ public policy. In some, it emerges as the latest in a long line of urban digital and information communication policies. In others, the introduction of the notion of the ‘smart city’ marks a departure from past approaches to public policy. Additionally, the more studies emerge of actual smart city policies, then the less definitional agreement there seems to be. Nevertheless, that we have witnessed in the last two decades the ‘repeated instance’ of smart cities emerging in cities around the world seems incontrovertible. Like so much urban …

Enhancing Urban Energy Modeling: A Case Study Of Data Acquisition, Enrichment, And Evaluation In Berlin, Felix Rehmann, Martín Mosteiro-Romero, Clayton Miller, Rita Streblow

Research Collection College of Integrative Studies

Urban Building Energy Modeling (UBEM) has become a critical tool for developing local heating and cooling plans, as required by the European Union. Despite growing interest, the reproducibility and reliability of UBEM studies remain limited due to data scarcity and workflow complexity. This paper presents a comprehensive framework to evaluate the data pipeline in UBEM, with a particular focus on data acquisition, enrichment, simulation, calibration, and information application. The approach applies three distinct UBEM workflows (CityEnergyAnalyst, DistrictGenerator, and SimStadt) to the Mierendorffinsel district in Berlin, Germany. We compare the based on quantitative performance metrics and qualitative framework criteria. The results …

Sketch-Sparsenet: Sparse Convolution Framework For Sketch Recognition, Jingru Yang, Jin Wang, Yang Zhou, Guodong Lu, Yu Sun, Huan Yu, Heming Fang, Zhihui Li, Shengfeng He

Research Collection School Of Computing and Information Systems

In free-hand sketch recognition, state-of-the-art methods often struggle to extract spatial features from sketches with sparse distributions, which are characterized by significant blank regions devoid of informative content. To address this challenge, we introduce a novel framework for sketch recognition, termed Sketch-SparseNet. This framework incorporates an advanced convolutional component: the Sketch-Driven Dilated Deformable Block (SD3B). This component excels at extracting spatial features and accurately recognizing free-hand sketches with sparse distributions. The SD3B component innovatively bridges gaps in the blank areas of sketches by establishing spatial relationships among disconnected stroke points through adaptive reshaping of convolution kernels. These kernels are deformable, …

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 …

Exploring Nursing Students’ Experiences Of Factors Influencing Reflective Practice In Clinical Setting, Wafaa El Zaatari, Imad Maalouf

All Works

Purpose – Reflective practice is crucial in clinical nursing education at a nursing college in Al Ain. This study aims to explore nursing students’ perspectives on reflective practice in a clinical setting. Design/methodology/approach – The study employed an exploratory case study design, using semi-structured interviews to collect data from eight nursing students studying at a nursing college in the UAE. The recorded interviews were transcribed verbatim and manually analysed using thematic analysis. Findings – Three main themes have been extracted, and these are the significance of reflection, facilitating factors and hindering factors. Four sub-themes emerged from the facilitating factors: moral …

Llms Are Bad Judges. So Use A Classifier Instead., Jack Kieffaber, Kimo Gandall, Steven Foster, Kenny Mclaren

SMU Law Review Forum

Large Language Models suffer from prompt variance—meaning they’ll give you totally different legal answers depending on how you phrase your question. Jonathan Choi demonstrated this recently when he asked ChatGPT five legal questions, each rephrased 2,000 times, and watched as the bot spat out different answers every time. When you tell somebody that AI is going to replace the judge, the lawyer, and the legal system in the next twenty years, Choi’s article has become the go-to rebuttal; it’s the crown jewel of the “AI bad” genre.

Choi’s absolutely right that LLM’s are bad judges. And, if every AI was …

Final Draft Report - Mapping Pfas In Groundwater Of The West Plains, Spokane County, Washington, 2023-2025, Chad Pritchard

EWU PFAS Research Collection

Since 2017, per- and polyfluoroalkyl substances (PFAS) have been detected in West Plains groundwater. Sampling conducted by Fairchild Air Force Base (FAFB) and the Environmental Protection Agency (EPA) have measured PFAS concentrations in private wells that exceed drinking water standards. Two known sources of PFAS have been identified on the West Plains: FAFB and Spokane International Airport (SIA). Washington Department of Ecology (Ecology) awarded the City of Medical Lake an area-wide groundwater grant to develop a groundwater model of PFAS contamination in the West Plains, the grant was originally written by Eastern Washington University (EWU) and Spokane County Water Resources …