Digital Commons Network^™

Toward Trustworthy Ai-Enabled Smart Healthcare: A Multi-Layer Taxonomy Of Data Modalities, Model Families, Clinical Applications, And Real-World Deployment Challenges, E. A. Zanaty, Asmaa H. Abd El-Rahiem

Sustainable Machine Intelligence Journal

Artificial intelligence (AI) is increasingly reshaping healthcare through predictive analytics, medical imaging, remote patient monitoring, clinical decision support, and personalized care. Despite rapid progress, the literature on AI-enabled smart healthcare remains fragmented across data modalities, model families, clinical tasks, trustworthiness requirements, and real-world deployment challenges. This review addresses this fragmentation through a taxonomy-based synthesis of AI-enabled smart healthcare systems supported by a systematic literature search. The review proposes a multi-layer taxonomy spanning healthcare data modalities, AI model families, clinical application domains, trustworthiness attributes, and deployment readiness. The reviewed evidence covers major healthcare data sources, including electronic health records, medical imaging, …

Adasel: Adaptive Attention-Based Stacked Ensemble Learning With Explainable Ai Framework For Earthquake Alert Level Classification System, Alaa Desukey, Ahmed M. Abdelmouty

Sustainable Machine Intelligence Journal

Earthquakes are one of the most life-threatening natural events, and scientists are always concerned about their forecast. Standard machine learning (ML) algorithms have difficulty earthquake alert level classification (EALC) problem. The study presents an ADASEL framework for EALC. The data is merged using a stacked ensemble learning approach, including base learners and meta-models. The basic learners include Extra Tree, random forest (RF), lightGBM, XGBoost, CatBoost, and Gradient Boosting. The outputs are optimized using an attention-based multilayer perceptron meta-model (MLP), LSTM, and Transformer. The technique was tested using earthquake dataset. The data preprocessing steps are applied to enhance quality of the …

Do Universities Underpay Professors? Yes, Especially Women, Zhanhan Yu, Alfonso Flores-Lagunes

Employment Research Newsletter

No abstract provided.

Employment Research, Vol. 33, No. 3, July 2026

Employment Research Newsletter

No abstract provided.

Online Mindfulness Training And Work-Related Outcomes: A Randomized Waitlist Controlled Trial, Conner Lee Deichman

Theses and Dissertations

Mindfulness-based interventions improve employee well-being, yet few studies have examined their impact on work-specific outcomes in private-sector samples. Online mindfulness programs offer a promising, accessible alternative to in-person training. This randomized waitlist-controlled trial evaluated the efficacy of Mindfulness for Humans (MfH), a fully online, self-directed 15-session program, on job satisfaction, burnout, work engagement, subjective well-being, and mindfulness skills among private-sector employees. Participants were randomly assigned to a training-first group or a waitlist-first group and completed measures at baseline, 30 days, and 60 days. Results showed significant improvements in job satisfaction, burnout, subjective well-being, and mindfulness following course participation. The training-first …

Integrating Georeferencing And Fire Anatomy Modeling In Canyon Fire Experiments Using Thermal Uav Remote Sensing, Xiangyu Ren, Bo Yang, Alexander I. Filkov, Katherine M. Wilkin, C. David Benterou, Owen Hussey, Craig B. Clements

Faculty Research, Scholarly, and Creative Activity

Background: Wildfires profoundly impact ecosystems and human health, making them a critical research focus. Drone-mounted Thermal Infrared (TIR) sensors are widely used for active fire monitoring due to their ability to penetrate smoke and capture real-time fire dynamics. Aims: This study addresses the challenges of georeferencing TIR data accurately, caused by limited fire anatomy modeling, imprecise georeferencing, the coarse resolution of TIR imagery and the dynamic nature of fire behavior. Methods: We collected a one-hour TIR dataset capturing a fast-moving controlled fire in a California canyon, US, alongside auxiliary data of multispectral and in situ meteorological observations. We developed an …

Leveraging Generative Artificial Intelligence To Effectively Implement School Counseling Interventions And Programs, Jeffrey M. Warren

Journal of Technology in Counselor Education and Supervision

Academic and mental health concerns persist in K-12 schools across the country. School counselors play a central role in addressing these issues and supporting the academic success, social/emotional development, and college and career readiness of all students. However, school counselors face numerous barriers when promoting student success. Making matters worse, emerging literature suggests that school counselors lack a clear understanding of how to implement programs and interventions effectively. Artificial intelligence can play a vital role in helping school counselors deliver effective and efficient services. This article provides overviews of implementation science and generative artificial intelligence. A case example and analysis …

Foreword From Editors - 19th Edition: Community Stewardship Towards Sustainable Futures, Yandi Andri Yatmo, Kristanti Dewi Paramita, Rini Suryantini

ASEAN Journal of Community Engagement

The discussions highlighted from the articles in this AJCE edition focuses on the institutionalization, process, and implication of community in stewarding their living environment. Such focus expands the community engagement discourse, highlighting how the act of stewardships creates a sense of shared responsibility of actors to their shared spaces and resources. In turn, this shared responsibility enables the community to shift from passive act of participation to active empowerment, creates social cohesion, and establishes local governance. Such a shift towards active empowerment and shared responsibility is the key in building systemic resilience, towards a more sustainable future for society.

Systematic Review Of The Institutionalization Of Service Learning In Higher Education, Wilmer Hernan Cruz Gutierrez

ASEAN Journal of Community Engagement

An increasing number of universities are integrating service-learning (SL) to fulfill their social mission. However, sustainable institutionalization of SL remains a persistent challenge. This study identifies and analyzes the factors, actors, and strategies that drive and inhibit SL institutionalization in higher education. Using the PRISMA 2020 guidelines, a systematic literature review analyzed 52 documents from seven academic databases (including WoS, Scopus, and ERIC). The findings were grouped into three sections: cultural (integration into institutional values/missions), process (articulation within teaching, research, and outreach), and structural dimensions (dedicated support entities). The results obtained reveal a reciprocal relationship where cultural alignment enables processual …

Ethnographic Insights Into Community-Based Circular Economy: The Case Of Waste Banks In Semarang, Rahoyo Rahoyo, Teti Susilowati, Sri Purwantini, Darto Sachius, Wilson M. A. Therik

ASEAN Journal of Community Engagement

The linear economy model has led to severe environmental degradation, prompting a shift toward the circular economy (CE) framework to promote sustainability. However, CE literature often overlooks grassroots, community-based initiatives in urban contexts, particularly in the Global South. This study addresses that gap by examining waste banks in Semarang, Indonesia, highlighting the critical importance of these grassroots initiatives within the broader discourse of community engagement. Using an ethnographic approach, data were collected through in-depth interviews, field observations, and open-ended survey responses across multiple community waste banks. The findings reveal the complex interdependence of four key actors—waste banks, itinerant collectors, scavengers, …

2026 Final Unreclaimed Sites Quality Assurance Project Plan (Qapp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Final Unreclaimed Sites Quality Assurance Project Plan (Qapp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Final Insufficiently Reclaimed Sites Quality Assurance Project Plan (Qapp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

A Community Planning Approach To Green Infrastructure And Hazard Mitigation, Kara Salazar, Daniel Walker, Carrie Mckillip

Journal of Extension

As communities seek to increase their resilience to climate change and natural hazards, integrating mitigation and adaptation solutions into local planning has become essential. Purdue Extension, the University of Illinois Extension, and Illinois–Indiana Sea Grant developed a program, funded by the Extension Disaster Education Network, which supports community-based updates to hazard mitigation and resilience planning, with an emphasis on green infrastructure. This paper highlights the lessons we learned after implementing the program in Hancock County, Illinois, and LaPorte, Indiana, and the toolkit we created, which provides engagement and education techniques, planning processes, and other resources to Extension professionals working in …

Educator Perspectives Of Available Special Education Transition Programming Through High School Career And Technical Education Organizations For Female Students In Self-Contained Classrooms, Cassandra L. Aungst

Theses and Dissertations

The problem addressed in this study was that there is a lack of research regarding alignment between special education student transition assessments, transition goals, and transition programming and specifically those who identify as female students. While career readiness programs are accessible to all students, regardless of gender, female students in special education remain underrepresented in career and technical education programs. The purpose of this research was to review educational practices that influence female students with disabilities in relation to their individualized education plan transition goals and programming by addressing (a) educators’ perceptions, (b) systemic challenges, and (c) policy gaps influencing …

Neutrosophic Time-Truncated Acceptance Sampling Plans Based On The Exponentiated Weibull Distribution For Reliability Applications, Divya P.R., Preethi John

Neutrosophic Systems with Applications

Classical acceptance sampling plans require precisely specified parameter values, an assumption routinely violated by measurement uncertainty and gauge imprecision in practice. This article develops Neutrosophic Time-Truncated Acceptance Sampling Plans (N-TTASP) for the Exponentiated Weibull (EW) distribution by representing the scale parameter as a neutrosophic interval. The neutrosophic sample size n_N ∈ [n_L, n_U] and acceptance number c_N ∈ [c_L, c_U] are obtained by minimizing n_U subject to dual producer and consumer risk constraints on the neutrosophic Operating Characteristic interval. A new indeterminacy ratio η is introduced as a …

Digraphicsoft Sets And Bidigraphicsoft Sets: Directed And Bidirected Extensions Of Graphicsoft Modeling, Takaaki Fujita, Ajoy Kanti Das, Suman Das, Sankar Prasad Mondal, Volkan Duran, Mithun Datta

Neutrosophic Systems with Applications

Uncertainty has been modeled through a wide variety of mathematical frameworks, including fuzzy sets, neutrosophic sets, rough sets, and plithogenic sets. Among these approaches, soft sets offer a parameterized representation of uncertain information and have inspired numerous extensions, such as multisoft sets, double-framed soft sets, hypersoft sets, SuperHyperSoft sets, TreeSoft sets, ForestSoft sets, IndetermSoft sets, and IndetermHyperSoft sets.
This paper focuses on GraphicSoft Sets, which extend the classical soft-set framework by assigning a subset of the universe to each subgraph of an attribute graph. In this way, relationships among attributes are incorporated directly into the parameterized model. Building on …

Evaluating Generative Ai-Based User Interfaces Using An Integrated Neutrosophic Multi-Criteria Decision-Making Framework, Nada Mohamed, Alshaimaa A. Tantawy

Neutrosophic Systems with Applications

User Interface (UI) design can be seen as an essential aspect of human-computer interaction (HCI) and makes communication easier between people and technology. In today's digital economy, interface quality has become one of the most important business concerns, since it has a direct impact on customer satisfaction and retention while affecting revenue. Although creating user-centered and accessible interfaces is crucial, doing so is a difficult and time-consuming process, which leads to burnout for many usability professionals. Although conventional artificial intelligence (AI) was utilized for design assessment and automation, the arrival of generative AI technology has created new possibilities for automated …

From Minimum To Meaningful: A Use Of Force Training Regimen For Rural Police Departments, Joseph Corley

Dissertations, Theses, and Projects

This paper examines how small and rural law enforcement agencies can improve use of force training despite limited staffing, budgets, and training opportunities. Current Minnesota POST Board minimum standards establish baseline requirements but allow significant variation in how agencies develop and deliver training, contributing to inconsistent officer preparedness and skill retention. Drawing on current research in police training, motor skill retention, and scenario based learning, this paper argues that infrequent, skills based training is insufficient for preparing officers to manage dynamic, high risk encounters. The paper proposes an evidence based training regimen centered on two department led use of force …

Evaluating Machine Learning Models On Classification Of Novel Cyber Attacks In The Healthcare Domain, Promise Ehimen

Dissertations, Theses, and Projects

The increasing adoption of the Internet of Medical Things (IoMT) has improved healthcare delivery through connected medical devices while simultaneously expanding the cybersecurity risks facing healthcare organizations. Although machine learning based intrusion detection systems have demonstrated high detection accuracy, their ability to respond reliably to previously unseen cyberattacks remains uncertain. This study investigated how a Neural Network model and a Logistic Regression model classified novel cyberattacks within the IoMT environment. The Neural Network and Logistic Regression models were both trained and tested using a subset of the CICIoMT2024 benchmark dataset. The Neural Network achieved 99.82% test accuracy and a 0.94 …

Choreographies Of Peruvian Reality: Conflicts In Surf Media's Digital Worlds, Tuck Rodi

Proceedings of the annual meeting of the Southern Anthropological Society

This paper mobilizes the concept of the choreography of surfing to analyze networks of surfers, media creators, digital technologies, and development NGOs through which surfing becomes a device for sociopolitical and economic projects in Peru. Surf media, this paper’s object of analysis, includes all films, video blogs, and documents that incorporate surfing as a constitutive ingredient in their visual and discursive content. With the rise of online video-sharing platforms, surf media has become a digital world unto itself. This world is made through interactions among viewers, photographers, and their surfing subjects. Democratization of video-sharing platforms capacitates filmmakers to break from …

D2.02 Game Demonstration: Adventures With Emmy, W. Brian Lane, Patrick Morgan, Cristo Leon

10mo Coloquio Internacional de Estudios sobre Juegos de Rol

Demo of Adventures with Emmy, a STEM tabletop RPG supporting inquiry, collaboration, and interdisciplinary learning through structured play. This demo will be presented in English in a pressential format.

Game development, playtesting, and research supported by NSF 251702.

Powered Parachute Vehicle For Crew Transportation On Mars, Louis J. Spier

Beyond: Undergraduate Research Journal

To support possible future human presence on Mars where bases are likely to be spread apart, aerial vehicles could be used to transport crew and cargo between them. Designing and operating such a vehicle is very challenging because of the low atmospheric density on Mars compared to Earth, the logistics involved with transporting it to Mars, and the infrastructure necessary to operate it. This study discusses the problems involved with designing, building, and operating fixed-wing and powered parachute aircraft on Mars and presents a concept involving a powered parachute vehicle utilizing an inflatable parachute wing that can be packed together …

War Of The Unknown: The Increase In Cybercrime Reveals A Lack Of Remedy And Protection Under International Law, Ava Fields

Florida Journal of International Law

The rapid growth of cybercrime poses significant challenges to the international legal framework, revealing gaps in both remedy and protection. This Note examines the rise of cybercrime and its causes, and highlights the inadequacies of current international legal mechanisms. This Note will do so by delving into three prominent case studies to illustrate these challenges and will provide possible solutions to these issues.

Global Energy Transition: Reflecting On Cop 28 And Case Studies Of Qatar And Morocco, Rafael Leal-Arcas, Vishakha Joshi, Dyuti Pandya

Florida Journal of International Law

This Article examines the contemporary framework for energy transition, focusing on the regulatory and legal obstacles inherent in the transition process. Part I provides an introduction and delves into the intricate interplay between trade dynamics and the establishment of smart grids, evaluating their impact on shaping the energy landscape. The concept of climate-resilient electricity grids is explored in Part I, particularly through the lens of digital solutions adopted in jurisdictions such as India, China, and the United States. Part II discusses the evolving framework set forth by Climate Change Conference of the Parties (COP 28) for the implementation of smart …

From Innocent Sharing To Harmful And Unintended Exposure: Balancing Parental Rights And Children's Digital Privacy Rights, Perla Khattar

Florida Journal of International Law

In the digital age, “sharenting”—the practice of parents sharing details of their children’s lives online—has become ubiquitous, blurring the lines between innocent sharing on social media and harmful exposure on the dark web. This Article delves into the complexities of balancing parental rights with children’s digital privacy rights, framed against the backdrop of a society increasingly reliant on social media for community and validation. By examining the legal and societal impacts of sharenting, it highlights the urgent need for legal frameworks that both respect parental autonomy and protect children’s online privacy. This Article proposes a multifaceted approach to address this …

Citizenship And Denizenship In The International Tax Context In An Era Of Global Economy, Tamir Shanan, Doron Narotzki

Florida Journal of International Law

This Article addresses a fundamental issue underlying the international tax system in the 21st century: the use of citizenship as a jurisdictional basis for imposing income tax liability. As a general matter, the United States is the only developed country that allegedly taxes its citizens living overseas on their worldwide income. However, even the United States does not, de facto, tax the vast majority of its citizens living abroad as it offers a generous exclusion for their foreign source income.

This Article analyzes how modern developments in the global economy affect the case for citizenship-based taxation. Though citizenship is closely …

Technical Disclosure Specification: Biomimetic Dermal Magnetohydrodynamic Venting And High-Frequency Metric Strain Transmutation Boundaries, Christopher L. Eckes

Defensive Publications Series

This specification formalizes the engineering parameters for a non-mechanical, biomimetic fluidic transport and non-equilibrium thermal boundary layer.

Traditional deep-space vessels treat external plasma shocks and the absolute-zero vacuum as destructive vectors that must be blocked via heavy material bulk. This architecture uses a scale-invariant fluid-substrate approach modeled after microscopic marine dermal structures (vortex attachment denticles).

By embedding a conformal, high-frequency magneto-acoustic micro-transducer array beneath a segmented porous hull, the system drives an effusing hydrogen plasma glove into a series of surface-bound, trailing helical micro-vortices. Instead of venting this mass wastefully into the vacuum, a rhythmic, 4-phase asymmetric

"Heartbeat" phase-shift protocol …

Gci #288: Ultra — Vortex-Aqueous "Mechanic's Battery" V5.0 (Planetary Standard) Complete Engineering Specification For Trash-Derived, Self-Healing Energy Storage, Michael Victor Caldwell Mr.

Defensive Publications Series

The GCI #288: ULTRA v5.0 is the definitive open-hardware battery architecture, replacing toxic lead-acid and expensive lithium systems with a trash-derived graphene, citric-salt electrolyte, and monolithic 3D-printed vortex case. This version provides the complete engineering data (voltages, concentrations, dimensions) required for immediate fabrication.

Performance Targets:

• Cost: <$10/kWh (verified BOM).

• Cycle Life: 5,000+ cycles (via Laponite dendrite suppression).

• CCA: 22% higher than lead-acid (via J-Groove vortex scrubbing).

• Safety: Non-toxic, non-flammable, operational at -60°C.

Capacity-Based Lacp Signaling For Proportional Traffic Distribution In Multi-Chassis Link Aggregation, Anonymous

Defensive Publications Series

Systems and methods optimize link aggregation hashing in a Multi-Chassis Link Aggregation (MC-LAG) topology in which a Customer Equipment (CE) device is dual-homed to a plurality of Provider Edge (PE) devices. Each PE device determines a capacity value representing its effective forwarding capacity, based on dynamic health metrics including core-facing Network-to-Network Interface (NNI) bandwidth, and encodes the capacity value in an optional Type-Length-Value (TLV) object carried in Link Aggregation Control Protocol Data Units (LACPDUs). The CE device parses the capacity value for each member link and programs an egress hashing engine to perform weighted load balancing, distributing flows across the …