Digital Commons Network^™

Using Clustering Techniques And Mitre Att&Ck Threat Interpretation To Detect Anomalies In Modbus/Tcp For Industrial Control Systems, Shivanjali Khare, Tirthankar Ghosh, Jhansi Sreya Jagarapu, Atharva Haridas Sagare

Journal of Cybersecurity Education, Research and Practice

Recent attacks on America's critical infrastructure have drawn increased attention on securing industrial control systems and operational technology in power plants, utility companies, and other sectors providing public services. Attack detection and mitigation strategies on these systems have shown promising results using machine learning and other statistical baselining techniques, mostly using supervised learning and classification. Unsupervised learning using cluster analysis and other techniques remain mostly unexplored. In this paper, we propose multi-layered feature extraction and hybrid clustering framework to detect fine-grained nested attack patterns in Modbus-over-TCP traffic. Operating under the assumption of known number of distinct network categories, our approach …

Millentine Coates V. Ford Motor Co

2026 Decisions

USDC for the District Court of the Virgin Islands

Writing Together, Writing Differently: Collective Authorship As Reflective Practice, Thanh Thao Le, Trut Thuy Pham

The Qualitative Report

This article examines collective authorship as a reflective and ethical research practice within a sustained program of co-authored qualitative, post-qualitative, linguistic, and reflective inquiries into teacher reflection, professional learning, language, silence, and recognition. It offers an oral-history-informed reflective methodological account of a writing collective and asks how collective authorship became a methodological practice through our collaborative writing process. The primary materials were shared drafts, margin comments, revisions, silences, version histories, short reflective notes, and remembered writing encounters. Teacher-reflection texts and related professional writing materials from our broader research program formed the secondary materials around which the writing process unfolded. Analytically, …

Autoethnography: Understandings, Evolution, And The Influence Of Genai, Prokopis Christou

The Qualitative Report

Autoethnography occupies a central place within qualitative research because of its focus on lived experience, reflexivity, and meaning-making. In this paper, I critically examine the implications of generative artificial intelligence (GenAI) for autoethnographic inquiry through a reflexive and theoretically informed discussion situated within the contemporary AI-mediated era. By revisiting key understandings and developments of autoethnography while drawing on technological mediation theory, I explore how GenAI extends beyond a mere tool to become a mediating mechanism capable of profoundly shaping autoethnographic practice. Attention is given to how seemingly minor AI-generated alterations may transform lived experience into more polished, coherent, and emotionally …

Exposing And Addressing Machine Learning Brittleness Through Constraint Solving, Muyeed Ahmed

Dissertations

Machine Learning (ML) implementations are fundamentally brittle: nondeterministic, inconsistent, and prone to overfitting; however, constraint solving can be used to systematically expose, quantify, and address this brittleness.

This dissertation first establishes that widely-used implementations of popular ML algorithms are nondeterministic (producing different outputs on the same input, across different runs) and inconsistent (different implementations of the same algorithm producing different outputs on the same input). This is more prevalent in Unsupervised Learning (UL) implementations where, due to the lack of a ground truth, subtle execution errors can go unnoticed and are difficult to verify. Nondeterminism and inconsistency also introduce security …

Engineered Porous Structures For Propellants Using Additive Manufacturing, Elbert Caravaca

Dissertations

Foamed polymers are widely used today for shock absorption and packaging materials to prevent damage to their contents. Typical foamed densities vary from 0.1 g/cm³ to 0.4 g/cm³ depending on the polymeric materials used. There is a need to explore foaming densities above 0.4 g/cm³ for propellants with highly engineered surface area progression for increased combustion performance. One way to achieve this is through highly controlled and engineered graded foam structures. To further exploit this approach, additive manufacturing coupled with a tunable means to generate foamed structures is the target of this work. To generate foam structures …

Development Of Ultrafast Protein Digestion And Standards Free Quantitation Methods For Mass Spectrometric Analysis, Praneeth Ivan Joel Fnu

Dissertations

A wide variety of biologically important molecules, such as enzymes, antibodies, hormones, transporters and receptors are proteins by composition and they play key roles in biological functions such as cellular regulation, communication, metabolism and physiological function. Protein dysfunctions and abnormalities are associated with numerous diseases, making proteins critical targets for understanding disease mechanisms and developing therapeutic interventions. Protein-based therapeutics such as monoclonal antibodies, hormones and vaccines gained popularity due to their high specificity, efficacy, and ability to treat complex diseases that are often difficult to address with small-molecule drugs.

Given the important role of proteins in a variety of biological …

The Inverse Elasto-Acoustic Problem, Patrick Grice

Dissertations

A stable and numerically efficient boundary integral method formulation of the elasto-acoustic problem is presented, based on Fourier analysis. The method generalizes well to multiple scattering. The Frechet derivative of the elasto-acoustic problem with respect to shape perturbations is derived, and geometric flow theory is used to design stable numerical methods for the simulation of moving boundaries. The shape derivative is used to define a regularized Gauss-Newton algorithm for shape fitting of elasto-acoustic scatterers.

Do Dynamic Capabilities Moderate The Effect Of Managerial Attitudes On E-Marketing Adoption? Evidence From Small And Medium Tourism Enterprises In Zanzibar, Hilal Maabad Ame, Omari Khalifa Mbura, Amani Gration Tegambwage

Business Management Review

This study examines the influence of managerial attitudes and dynamic capabilities on e-marketing adoption among Small and Medium Tourism Enterprises (SMTEs) in Zanzibar. Grounded in the Decomposed Theory of Planned Behaviour (DTPB) and Dynamic Capabilities Theory (DCT), the study tests the effects of perceived ease of use, perceived usefulness, compatibility, and perceived security on e-marketing adoption, with dynamic capabilities examined as a moderating factor. Data were collected from 216 SMTEs operating in the Urban and South Regions of Zanzibar and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that perceived ease of use and perceived security …

Beyond The Binary: Strengthening Nursing Students’ Proficiency Of Equitable Health Promotion, Martha K. Findley

Theses

Background: Sexual and gender diverse (SGD) populations continue to experience significant health inequities, yet prelicensure nursing curricula often lack structured, evidence‑based training to prepare students for equitable care.

Purpose: This study evaluated whether a targeted, transgender‑focused simulation could improve nursing students’ clinical knowledge and preparedness for providing equitable health promotion to SGD populations.

Methods: A pre‑/post‑intervention design was used with senior‑level nursing students who completed a transgender patient simulation emphasizing communication, assessment, and equitable health promotion. Students completed a validated survey measuring knowledge and preparedness in caring for SGD patients.

Results: Significant improvements across most survey items demonstrated that the …

The Eu’S Copyright Legislation For Generative Ai: Relevant To Indonesia?, Yolanda Simbolon

Indonesia Law Review

Tremendously copyrighted works are used to train Generative AI (Gen-AI) at the epicenter of current sectors. In many countries, there is a dilemma as to whether the amount of data used may infringe copyright. The EU is the one that has regulations on the use of copyrighted works as text and data mining (TDM) to train GenAI.  Meanwhile, Indonesia does not yet have a regulation, even though Gen-AI has been massively developed in Indonesia. Data has been used freely to train Gen-AI, even to modify works and damage the author’s reputation. This article investigates whether the EU’s copyright of Gen-AI …

Clinic-In-A-Box: A Portable, Software-Defined Cyber Range For Realistic, Scenario-Based Cybersecurity Training, Ethan Chumley, Aaron Nair, Royce Yaezenko, Joshua Payne, Veronika Kyles, Paul Wagner, Robert J. Honomichl, Ryan Straight, Shengjie Xu

Journal of Cybersecurity Education, Research and Practice

Realistic, hands-on cybersecurity training has traditionally depended on fixed infrastructure such as dedicated lab hardware, cloud subscriptions, or permanent network connectivity, limiting where and how often it can be delivered. This paper presents the design and implementation of a portable, scenario-based cybersecurity training platform housed in a single travel case and built from commodity hardware, type-1 hypervisor virtualization, containerized service orchestration, and software-defined networking. The platform clones, isolates, and resets complete lab environments on demand, allowing the same physical system to support repeated classroom, workshop, or field deployments with minimal manual reconfiguration. Training scenarios are grounded in generated organizational profiles …

Boiling-Induced Changes In The Α -Amylase Inhibitory Activity Of Selected Brassica Vegetables In Sri Lanka: A Comparative Study, D. M. S. S. Dassanayake, B. C. K. Kumari, P. R. H. Perera, G. M. Yasasvi, L. M. Hettihewa, W. M. K. M. Ratnayake

Journal of Innovation in Science, Engineering and Technology

Incorporating vegetables with α -amylase inhibitory properties into the diet is a natural and nutritious way to help regulate blood sugar levels, reduce the risk of complications associated with diabetes mellitus, and promote overall health and well-being. However, during the cooking process, the chemical structure of active compounds, which are responsible for α -amylase inhibition, can change. Hence, this was aimed to evaluate the α -amylase inhibition potential of boiled and non-boiled aqueous extracts (BAE and NBAE respectively) of selected vegetables belonging to the Brassica oleracea L species, which are commonly consumed as in fresh salads as well as in …

Capacity Utilization In Pharmaceutical Manufacturing Industry In Sri Lanka: A Mixed-Methods Analysis Of Systemic Constraints, W. D. Welipitiya, L. M. Hettihewa, S. N. Samage

Journal of Innovation in Science, Engineering and Technology

Background: Domestic pharmaceutical manufacturing is important for medicine security, accessibility and reduction of import dependence in Sri Lanka. However, installed manufacturing capacity may remain underutilized because of interacting regulatory, supply-chain, financial, workforce and market constraints. This study assessed capacity utilization among Category A pharmaceutical manufacturers and explored the systemic factors associated with underutilization.
Methods: A convergent mixed-methods design was used. Quantitative data were collected using a structured questionnaire and analysed descriptively using SPSS Version 26. Qualitative data were obtained through semi-structured interviews and open-ended questionnaire responses and analysed thematically using QualCoder. Capacity utilization was calculated as actual output divided by …

Schiff Base Synthesis, Characterization And Computational Analysis For Potential Antibacterial Agents, L. N. G. K. Suranjith, M. S. D. Fernando

Journal of Innovation in Science, Engineering and Technology

Schiff bases are an important class of imine compounds known for their structural versatility and biological activities, particularly as potential antimicrobial agents characterized by the azomethine (–C=N–) functional group, are widely recognized for its diverse biological activities. This study focuses on the synthesis and characterization of (E)-N-(3-phenylprop-2-en-1-ylidene)aniline to evaluate its potential as an antibacterial agent. The compound was synthesized via acid-catalyzed condensation of aniline and cinnamaldehyde under reflux for 2 hours in absolute ethanol. After purification through recrystallisation, the structure was confirmed using UV–Visible, FT-IR, ¹H-NMR, and ¹³C-NMR spectroscopy. Thermal stability was assessed with thermogravimetric analysis (TGA), while …

A Web-Based Machine Learning Application For Classifying Post-Covid Risk Among Middle-Aged Adults, Himasha Amarathunga, Dhishan Dhammearatchi, Nimesh Pollwaththage

Journal of Innovation in Science, Engineering and Technology

Post-COVID syndrome (Long-COVID) represents a significant public health challenge, yet accessible tools for individual risk assessment among middle-aged adults remain limited. This study describes the development and evaluation of a web-based machine learning application for the classification of post-COVID risk in adults aged 30–60 years. A publicly available secondary dataset comprising 9,637 patient records was used, of which 5,871 (61%) were classified as high-risk and 3,766 (39%) as standard recovery, reflecting an imbalanced class distribution. The web application incorporates key demographic and clinical features including age, sex, vaccination status and comorbidities to produce a binary risk classification (High/Low). Five machine …

Ai-Based Tooth Decay Detection System Using Mobile Phone Images And Questionnaire-Driven Risk Assessment, G.N.P Madhurangi, S.M.H.M Koswatta, R.M.H.N Rajasinghe, R.D Jayasinghe

Journal of Innovation in Science, Engineering and Technology

Dental caries (tooth decay) is one of the most common global oral health problems and remains a significant public health concern due to late diagnosis and inadequate access to dental care in many populations. This study proposes the design and development of an Artificial Intelligence (AI)-based mobile application for early detection of tooth decay using smartphone-captured oral images combined with questionnaire-based analysis. The proposed system employs a Convolutional Neural Network (CNN) to analyze tooth images and determine the presence and severity of dental caries. Users also complete a structured questionnaire comprising 14 questions related to oral hygiene habits, dietary practices, …

Determinants Of Consumer Satisfaction And Financial Burden In Community Pharmacy Services: A Cross-Sectional Study In Sri Lanka, S. M. N. Hansanie, L. M. Hettihewa, J. C. G. Punchihewa

Journal of Innovation in Science, Engineering and Technology

Introduction: Community pharmacies play a crucial role in primary healthcare delivery, particularly in improving access to medicines and healthcare advice. However, service quality and consumer perceptions may vary in resource-limited settings. This study aimed to evaluate consumer perceptions of medication management services, financial burden, and overall satisfaction with community pharmacy services in Gampaha District, Sri Lanka.
Methodology: A descriptive cross-sectional study was conducted over three months among 200 community pharmacy consumers. Adults aged 20–80 years who had visited a pharmacy within the past six months were recruited using convenience sampling. Data were collected using a validated, structured questionnaire covering socio-demographic …

Iot-Based Smart Leak Localisation And Auto-Shutoff System For Real-Time Water Loss Prevention, W.A.C. Fernando, R.M.H.N. Rajasinghe, S.M.H.M. Koswatta

Journal of Innovation in Science, Engineering and Technology

Water leaks in pipe systems lead to loss of water, damage to infrastructure and increased operating expenses. Traditional leak-detection methods are slow, and they cannot detect leaks in real time. The existing Internet of Things (IoT) solutions are dependent on single-sensor technology, cloud processing and high-cost computational models, unsuitable for home use. In view of this, this study suggests an IoT-based Smart Acoustic Leak Localisation and Auto-Shutoff (SALAS) System for real-time water loss prevention in small-scale pipeline environments. The prime objective is to design and develop an IoT-based water-leakage detection, localisation, and valve-closure system. Development followed a prototype model and …

Signaura: An Ai-Based Real-Time Recognition System For Sri Lankan Sign Language, Pramudhi Hansi Wijesinghe, Nimesh Pollwaththage, Dhishan Dhammearatchi

Journal of Innovation in Science, Engineering and Technology

The communication barrier experienced by deaf and hard-of-hearing in Sri Lanka is still a serious issue in society since there are few interpreters with Sri Lankan Sign Language (SLSL) and no automated translation technologies. The present paper introduces SignAura, an artificial intelligence-driven real-time SLSL sign-recognition system that provides multilingual lexical text and synthesized speech. The system uses computer vision and a fully connected neural network to identify isolated SLSL signs from live video streams.A fully connected neural-network classifier was used instead of the CNN-LSTM architecture, with 21 hand landmark keypoints extracted per frame using MediaPipe and represented as 63 numerical …

Medical Device Vigilance In Sri Lanka: Identifying Gaps And Developing National Guidelines, Mjf Riyasha, Lm Hettihewa, S Shanmuganathan

Journal of Innovation in Science, Engineering and Technology

Background: Medical Device Vigilance (MDV) systems are essential for ensuring patient safety through post-market surveillance. In low- and middle-income countries such as Sri Lanka, MDV systems remain underdeveloped despite increasing reliance on advanced medical technologies.
Objectives: This study aimed to identify gaps in MDV practices in Sri Lanka and develop context-specific national guidelines aligned with international best practices.
Methods A pragmatic mixed-methods design was used. A desk review of international frameworks (WHO, IMDRF, EU MDR 2017/745, FDA) was conducted alongside a cross-sectional survey of key stakeholders, including healthcare professionals, biomedical engineers, device importers, and regulatory staff. Quantitative data were analyzed …

Design Of A Smart Esp32-Based Iot Prototype Using Azure Iot Hub For Automatic Detection, Neutralization, And Safe Disposal Of Acidic And Basic Chemical Waste In Laboratory Environments, M.J. Fernando, K.C.K.V. Samarathunga, G.A. Heshan, J.A.D.S.R. Jayasinghe, K.S.R Perera, K.G.C.M. Perera, K.D.T.D. Jayasuriya, S.M.H.M. Koswatta

Journal of Innovation in Science, Engineering and Technology

The generation of acidic and alkaline laboratory waste remains an enduring safety and environmental problem in educational institutions, research laboratories, and small-scale industrial settings. In many such environments, neutralization is still performed manually through intermittent pH measurement and operator judgement. This practice is slow, inconsistent, and potentially hazardous, particularly when corrosive substances are involved. The present study proposes and evaluates a smart Internet of Things (IoT) prototype that automates the detection, neutralization, and monitoring of laboratory chemical waste by integrating edge intelligence with secure cloud telemetry.
The proposed system is centered on an ESP32-S3-N16R8 microcontroller, a DFRobot SEN0161 pH sensor, …

Iot-Mobile Solution For Traffic Light Recognition For Color Vision Deficiency Drivers Using Lightweight Edge Ai, J. L. G. N. S. Jayawardhana, S. M. H. M. Koswatta, R. M. H. N. Rajasinghe, C. Arukgoda

Journal of Innovation in Science, Engineering and Technology

Color Vision Deficiency (CVD) is a medical condition that reduces the ability to distinguish certain colors and may occur due to genetic inheritance or acquired retinal damage. Drivers affected by CVD often experience difficulties at traffic light intersections because traffic signals rely entirely on color-based communication. Existing assistive systems mainly address this issue through audio feedback. However, audio-based solutions may perform poorly in noisy urban environments and are less effective for individuals with hearing impairments. The already existing assistive systems provide visual outputs in the dashboard that do not ensure all types of CVD drivers can see the visual output. …

Development Of A Polyherbal Anti-Ageing Cream Using Synergistic Antioxidant Combination Of Withania Somnifera Roots And Psidium Guajava Leaves, W. A. D. M. P. Wanasinghe, W. M. K. M. Ratnayake

Journal of Innovation in Science, Engineering and Technology

Skin ageing is a multifactorial biological process largely accelerated by extrinsic factors such as ultraviolet radiation, pollution, and oxidative stress, leading to structural and functional deterioration of the skin. Due to the strong antioxidant potential of herbal phytochemicals, plant-based anti-ageing formulations have gained increasing attention in the cosmetic industry. Therefore, this study aimed to evaluate the synergistic antioxidant activity of combined extracts of Withania somnifera roots and Psidium guajava leaves and to develop a stable herbal anti-ageing cream using the most active extract combination. The 95% ethanol extracts of P. guajava leaves (EPGL) and W. somnifera roots (EWSR) were prepared …

Fall 2026 Census Enrollment Indicators Campus Report Tables 1-3, Systems Intelligence And Data Analytics, University Of Nebraska At Omaha

Enrollment Reports

No abstract provided.

Cmsi Translations #35: How To Leverage The "Butterfly Effect" To Cause The Collapse Of "Taiwan Independence" Elements?, Su Ming

CMSI Translations

Intelligent Tools for Designing Operational Concepts: Intelligent Agents Innovating Mechanisms for Victory

If a large model is likened to a machine, interacting via conversation is akin to a worker manually operating that machine. Although machine tools have significantly reduced human workloads, “manual operation” still entails challenges: demanding skill requirements for operators; difficulty in resolving complex, specialized tasks through conversation alone; difficulty in standardizing and reusing repetitive workflows; susceptibility to hallucinations; and the time- and labor-intensive nature of verifying results. To this end, the Department of Theoretical Innovation Research has proposed a technical roadmap for programming large models. The underlying concept …

Implementing A Routine Fall Risk Assessment In Older Adults In An Inpatient Psychiatric Setting, Amaka Obi

Walden Dissertations and Doctoral Studies

The purpose of the project was to implement and evaluate a structured fall risk assessment process that promoted the early identification of patients at increased risk for falls and supported interventions designed to prevent fall-related events. A pre- and post-implementation evaluation design was used to assess the intervention's effectiveness by comparing fall rates before and after implementation of the standardized assessment protocol. De-identified data obtained from the electronic health record (EHR) were analyzed using descriptive statistics to evaluate changes in fall incidence and protocol adherence. The project findings demonstrated that provider-led, standardized fall-risk assessments improved screening compliance, provider adherence, and …

Isolation, Structural Characterization, And In Vitro Bioactivity Assessment Of Extracellular Vesicles Derived From Lacticaseibacillus Paracasei, Dwi Liza Ramadiani, Ratika Rahmasari, Tri Wahyuni, Kusmiati Kusmiati, Herman Irawan, Khatarina Meldawati Pasaribu

Pharmaceutical Sciences and Research

The field of study on extracellular vesicles (EVs) has recently focused on probiotic bacteria, due to their ability to exhibit a wide variety of biological activity. Therefore, this study aims to evaluate the effect of nutrient modulation during Lacticaseibacillus paracasei cultivation on EVs production and bioactivity. EVs were isolated by ultrafiltration method and were characterized using NTA and cryo-TEM. An in vitro evaluation was used to assess the bioactivities, antioxidant properties, anti-inflammatory potential, and ability to inhibit α-glucosidase activity. The results showed that the 2 LPEV exhibited the characteristics of vesicles with size of 96.04–100.29 nm. Cultivation in 50% MRS …

Symmetry Breaking And Restoration In The Grasshopper Ising Model, Aradh Bisarya

Graduate Masters Theses

Distance-selective interactions in Ising systems give rise to a range of rich and unexpected phenomena. A notable example is the so-called Grasshopper Ising model, a conserved spin Ising model with interactions only between spins at a fixed distance. This model is the discrete version of the following mathematical problem: A grasshopper lands at a random point on a planar lawn of area one. It then makes one jump of fixed distance in a random direction. What lawn shape maximizes the probability that the grasshopper lands on the lawn after the jump? The solution to this problem, corresponding to the ground …

Infrared Detectability Of Whale Species And Behaviors To Enhance Automatic Detection For Real-Time Vessel Strike Avoidance, Laura J. Howes

Graduate Masters Theses

Real-time detection of large whales at sea is critical for mitigating serious injury and mortality from ship strikes and other human activities such as seismic surveys, especially for endangered species such as the critically endangered North Atlantic Right Whale (Eubalaena glacialis). Traditional marine mammal observers are limited by environmental conditions and human factors, necessitating a robust, 24-hour solution. This study investigates the efficacy of a novel onboard detection tool infrared (IR) technology to detect whale blows and body parts. While IR is a promising advancement, its performance under varying sea conditions (e.g., fog, humidity) and its ability to …