Digital Commons Network^™

Eco-Anxiety Among Environmental Volunteers: The Emotional Cost Of Caring For The Planet, Siti Jaro'ah, Cholifia Sarining Pawasa, Kuni Saffana

ASEAN Journal of Community Engagement

Environmental disasters have frequently been shown to impact the psycho-emotional states of humans, a phenomenon commonly termed eco-anxiety. Individuals who engage in close interactions with the environment may encounter more significant repercussions than other groups, including environmental volunteers. This study seeks to investigate the phenomenon of ecological anxiety among environmental volunteers. The study employed a qualitative phenomenological methodology, using three environmental volunteers as participants. Data were gathered through semi-structured, comprehensive interviews and analyzed using Interpretative Phenomenological Analysis (IPA). The results indicate that participants experienced the effects of environmental issues in three ways: emotionally, cognitively, and in their daily lives. Among …

Thermoclock:A Novel Automated Temperature Regulation Device That Can Model Circadian Entrainment And Disruption In 2d And 3d In Vitro Models, Kaiyin Kelly Zhang, Cathryn A. Cutia, Chanelle A. Moise, Bhavna Kalyanaraman, Kaitlyn Chhe, Jiexin Wang, Michelle E. Farkas, Ilia N. Karatsoreos, Mary Harrington, Meghan E. Huber, Cathal J. Kearney

Biological Sciences: Faculty Publications

Circadian rhythms are critical for maintaining homeostasis and regulating physiological functions, and consequentially impact disease progression; yet, they remain largely overlooked in in vitro models used in preclinical research. One major barrier to rigorously testing the role of circadian rhythms in these models is the lack of accessible tools that seamlessly integrate into standard culture setups and are capable of sustainably delivering time cues to cells and tissues in long term experiments. Here, we present the ThermoClock, a low-cost, Arduino-based automated temperature control system capable of delivering independent temperature programs to multiple cultures simultaneously. Using circadian reporter U2OS cell lines …

Decision Making For Community Resilience: Applications In Flooded Transit Systems And Shared Housing, Mubarak Iddrisu

Graduate Doctoral Dissertations

Addressing climate-induced flooding and housing insecurity requires decisions that are technically sound, locally meaningful and feasible to implement. In public transit systems, flooding can damage infrastructure, increase travel time and reduce access to essential destinations, especially for older adults. Shared housing offers an alternative housing model where staff must balance affordability, compatibility, service exchange and participant choice when pairing home providers with housing seekers. In this dissertation, I examine how analytics and decision modeling can support community resilience across these two domains. I use spatial analysis, machine learning, optimization and matching theory to develop practical decision-support workflows. Chapter 2 proposes …

Bridging Change: The Role Of The Pont-Neuf In A Transforming Paris, Mathilde M. Oscarson

Undergraduate Honors Theses

In a twist of irony, the Pont Neuf (“New Bridge”) stands today as the oldest bridge crossing the Seine River in Paris, France. This paper examines how artistic representations of the Pont-Neuf such as etchings, early photography, painting, and art installations embody shifting views of the bridge’s function, the role of public space, and community building even as the bridge itself has not changed. The Pont-Neuf is important to Parisians, as evidenced by how often it has been represented in art, both as an integral aspect of the city’s infrastructure as well as the center of cultural and public life. …

Redefining Creativity: Exploring The Value Of Generative Ai In Art, Zaldy D. Duenas Iii

DLSU Arts Congress Conference Proceedings

Artificial intelligence (AI) has profoundly transformed human activities and industries, including education, business, healthcare, entertainment, and the arts. The creative and artistic sector, in particular, has been significantly impacted, giving rise to public discourse around AI-generated art, commonly termed "AI art ."Advances in generative AI tools have disrupted traditional artistic practices by enabling rapid and seamless image generation from text prompts. These emerging AI technologies have introduced various economic, legal, ethical, and philosophical debates surrounding creativity in AI-generated works. In line with this, this paper examines the implications of generative AI on art and creativity, posing the central question: "Can …

Art In Laparoscopy: A Fun Way Of Training In Minimally Invasive Surgery, Michael Dennis I. Dela Paz

DLSU Arts Congress Conference Proceedings

Paramount to the safety and efficiency of any surgical procedures warrants the enhancement of skills of the surgeon whether in training or practice. In minimally invasive surgery, one should inherently have excellent depth perception, consistent hand-eye coordination, and skillful use of the dominant and non-dominant hands to be able to perform operations with precision, efficiency, and safety. For most surgeons, sustaining or even improving these laparoscopic surgical skills through traditional drills would sometimes reach a point that it seems to be monotonous, and repetitive. Breaking away from the traditional skills will make the training and honing of minimally invasive surgical …

Human Capital, Regional Development, And Maqasid Sharia: An Input-Output Analysis Of Government Spending And Private Investment In Yogyakarta, Indonesia, Adibah Seila, Nurkholis Nurkholis Mr.

International Journal of Islamic Economics and Business Sustainability

Purpose – This study examines the sectoral linkages and multiplier effects of local government expenditure and private investment in education, health, and information and communication technology (ICT) – sectors central to human capital formation – in the Special Region of Yogyakarta (DIY), Indonesia, and interprets the findings through a Maqasid Sharia lens.

Design/methodology/approach – The 2016 input-output table for DIY (17 sectors) was updated to 2020–2029 using the RAS method. Backward and forward linkages and output, gross value added (GVA), income, and labor multipliers were estimated for all sectors. Four shock simulations (ICT, education, health, and a combined shock) were …

What Drives Indonesian Muslims To Waqf? An Analysis Of Behavioral Intention Toward Cash Waqf Linked Deposit (Cwld), Abdullah Zaid Khoiri, Kenny Devita Indraswari, A. Azizon, Tika Arundina

International Journal of Islamic Economics and Business Sustainability

Purpose – The purpose of the paper is to find out the factors that affect the intention of Indonesian Muslims to participate in Cash Waqf Linked Deposit (CWLD), a new Islamic banking product that combines cash waqf and sharia time deposits, launched in Indonesia in late 2023 to help overcome the gap between the potential cash waqf in the country and its actual collection.

Design/methodology/approach – This study employed an Extended Theory of Planned Behaviour (TPB) model which included religiosity, knowledge, trust and perceived benefit in addition to attitude, subjective norm and perceived behavioural control. The primary data were …

Thermal Degradation Analysis Of Bagasse Fibers From Sugarcane Waste, Rashmitha Suresh, Faisal Al Nasser

Journal of Mechanical Engineering Science and Technology (JMEST)

Sugarcane is one of the important commodities in the industry where bagasse fiber as waste is abundantly available.   Sugarcane bagasse fiber has high cellulose, a key element in the utilization of bagasse. Chemical pretreatment is important to prepare the natural fiber before used as composite reinforcement. The purpose of the study is to analyze the thermal degradation of bagasse fiber after being treated using NaOH and TEMPO solution. The manufacturing method was carried out by a series of washing bagasse with distilled water and NaOH solution, subsequently soaking it in 6% NaOH and 2,2,6,6-tetramethylpiperidine-l-oxyl (TEMPO) solution, and conducted oven-dried. Thermogravimetric …

A Comparative Study Of Deep Learning Models For Water Quality Prediction, Doaa El-Shahat, Mohamed Ismail

Sustainable Machine Intelligence Journal

One of the most important challenges in the recent period, and one that still presents a significant challenge, is sustainable management of water resources and accurate prediction of water quality to address increasing pollution and climate changes. Therefore, our study aims to address the complexity and noise in water quality data with time dependencies in water quality data in order to provide a more accurate prediction of water quality by evaluating and comparing six of the latest and most powerful deep learning models that have been recently developed, namely: VBAED, SA-LSTM-LOADEST, LWQformer, ESWT-IE-SBiLSTM, DPSGT, in addition to the CNN-CRNN-M5T model. …

Recoverable Agentic Ai For Communication Networks: A Survey Of Architectures, Trust Regulation, And Failure Recovery, Omar K. Dawoud, Osama A. Ghoneim

Sustainable Machine Intelligence Journal

Agentic artificial intelligence is increasingly integrated into communication networks, enabling systems that perceive network state, reason over conditions, and execute actions on live infrastructure. As these systems act directly on operational environments, their behavior after failure remains insufficiently characterized: existing evaluation emphasizes throughput, latency, and accuracy, without capturing how systems recover after actions that affect network state. This survey examines agentic artificial intelligence in communication networks through the lens of recoverability, based on a systematically coded corpus of the recent literature. The paper introduces the MATR-R framework, which organizes recoverability around memory awareness, action governance, trust regulation, and recovery capability. …

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.

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 …

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 …

Cardozo Law News Brief: July 31, 2026, Benjamin N. Cardozo School Of Law

Cardozo Law News Briefs

Highlights from the July 10, 2026 Cardozo Law News Brief include:

• Interim Dean of Students Francesca Acocella received the National Association of Law Student Affairs Professionals’ (NALSAP) Core Four Award in recognition of her outstanding contributions to law student affairs.
• Professor Jessica Roth spoke to Bloomberg about the Supreme Court’s Cook, Slaughter, and birthright citizenship decisions, discussing their implications for the Fourteenth Amendment.
• Professor Michael Pollack was quoted in Bloomberg about the legal history of sidewalks and responsibilities for their maintenance, and also appeared on CNN to discuss a viral story about community sidewalk construction.
• Adjunct Professor Gary …

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 …

Where Do Ai Coding Agents Fail? An Empirical Study Of Failed Agentic Pull Requests In Github, Ramtin Ehsani, Sakshi Pathak, Shriya Rawal, Abdullah Al Mujahid, Mia Mohammad Imran, Preetha Chatterjee

Computer Science Faculty Research & Creative Works

AI coding agents are now submitting pull requests (PRs) to software projects, acting not just as assistants but as autonomous contributors. As these agentic contributions are rapidly increasing across real repositories, little is known about how they behave in practice and why many of them fail to be merged. In this paper, we conduct a large-scale study of 33k agent-authored PRs made by five coding agents across GitHub. (RQ1) We first quantitatively characterize merged and not-merged PRs along four broad dimensions: 1) merge outcomes across task types, 2) code changes, 3) CI build results, and 4) review dynamics. We observe …

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.

Sustainable Organic Materials Used In The Construction Sector, Michael P. Wistuba, Di Wang, Chiara Riccardi, Libo Yan, Zhanping You, Lily D. Poulikakos, Ana Jiménez Del Barco Carrión

Michigan Tech Publications

No abstract provided.

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 …

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 …

Enhanced Transdermal Immunization Via Solid-In-Oil Nanodispersions Incorporating Dendritic Cell-Targeting Peptide, Md Samiul Islam, Md. Shahin Ekka Sarker, Yoshirou Kawaguchi, Rie Wakabayashi, Noriho Kamiya, Muhammad Moniruzzaman, Masahiro Goto

Publications and Research

Transdermal immunization represents a promising needle-free alternative to conventional vaccination. However, efficient antigen delivery and robust immune activation remain major challenges. In this study, a solid-in-oil (S/O) nanodispersion system comprising a dendritic cell-targeting peptide (HR8), ovalbumin (OVA), and an adjuvant was developed for transdermal immunization. The HR8 peptide along with OVA was successfully incorporated into an S/O nanodispersion with an optimal hydrodynamic diameter of particles (< 200 nm) and exhibited stable physical properties for up to 90 days. In vitro and in vivo studies demonstrated enhanced antigen delivery with insignificant skin irritation in C57BL/6N mice. Moreover, in vivo transdermal immunization studies demonstrated that the addition of the HR8 peptide enhanced OVA-specific IgG responses (~1.5-fold). Notably, the HR8 peptide also promoted an approximately 2.5-fold increase in IgG2c levels, suggesting a shift toward a more T helper type 1-biased immune response, as reflected by an increased IgG2c/IgG1 ratio. Overall, these findings demonstrate that the incorporation of HR8 peptide into an S/O nanodispersion enables efficient transdermal antigen delivery and improved immunogenicity, highlighting its potential as a simple, non-invasive, and patient-friendly immunization strategy.

A Fuzzy–Neutrosophic Suitability Index For Selecting An Appropriate Reasoning Model Under Vagueness, Incompleteness, And Conflict, Nada A. Nabeeh, Ahmed Samy

Neutrosophic Systems with Applications

Fuzzy reasoning and neutrosophic reasoning are both used to handle uncertainty, but they are not intended for the same uncertainty structure. Fuzzy reasoning is suitable when uncertainty appears mainly as gradual vagueness, where a value may belong to a concept such as ``high risk'' or ``good performance'' to a certain degree. In this case, a membership value is often sufficient. Neutrosophic reasoning is more suitable when the problem also contains incomplete information, undecided evidence, or conflict between sources. In such cases, one membership degree may be too limited because it cannot represent support, rejection, and indeterminacy separately. This study introduces …

Foundations Of Neutrosophic N-Semirings Theory And Structural Properties, Raja Muhammad Hashim, Muhammad Gulistan, Muhammad Shahzad

Neutrosophic Systems with Applications

In this paper the concept of neutrosophic n-semirings (S∪ I, ∗ ₁, ∗ _2, ∗ ₃,..., ∗ _n, ∗ _n+1) has been introduced. The substructure of n-semirings (S∪ I, ∗ ₁, ∗ _2, ∗ ₃,..., ∗ _n, ∗ _n+1) has been defined and some useful results have been proved. Moreover, in order to familiarize the readers with these concepts some worthy examples have been coined. The left, right and two sided ideals of neutrosophic n-semirings have been paid a special heed. Finally we have turned our discussion towards the compatible and congruence …

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 …