Digital Commons Network^™

Deployment-Oriented Evaluation Of Temporal And Spatial Forecasting Approaches For Electric Vehicle Charging Demand In Energy Systems, Maher Alaraj, Eyob Solomon Getachew

All Works

Accurate short-term electric vehicle (EV) charging demand forecasting is important for charging infrastructure operation, grid management, and energy-system planning. This study presents a deployment-oriented and reproducible evaluation of temporal, spatial, and unified spatio-temporal forecasting approaches for day-ahead EV charging demand prediction. Using publicly available charging-session data aggregated at hourly resolution across ZIP-code regions, we compare persistence and ARIMA baselines, XGBoost, Long Short-Term Memory (LSTM) networks, Graph Convolutional Networks (GCNs), and a unified GCN+LSTM architecture under a consistent preprocessing pipeline, leakage-free validation protocol, and rolling-origin evaluation framework. For the Boulder ZIP-code dataset considered in this study, temporal information provided the dominant …

Light-Wdef: Lightweight Deepfake Evaluation Framework For Efficient And Reliable Visual Detection, Muhammad Yousaf, Sarwar Shah Khan, Babar Shah, Muhammad Shehzad Khan, Muhammad Awais Bacha, Mian Saeed Akbar, Ijaz Ali, Fernando Moreira

All Works

Deepfake technology synthesizes and manipulates digital content to produce artificial videos in which an individual’s identity, facial appearance, or actions are convincingly altered. These forgeries can be highly realistic, posing serious risks to trust in digital media and undermining personal reputation, dignity, and the integrity of public discourse. This paper presents the Lightweight Deepfake Evaluation Framework (Light-wDEF)– a resource-efficient, reproducible framework tailored for large-scale evaluation of visual deepfake detectors on modest hardware. Light-wDEF combines deterministic frame sampling, batched MTCNN face extraction, streaming append-only storage with lazy offset indexing, online Albumentations augmentations, stratified splits with class-aware sampling, and robust training (AdamW, …

Front Matter

Journal of Science & Technology Law

No abstract provided.

Autonomy, Adolescents, And Artificial Intelligence, Michael J. S. Beauvais

Journal of Science & Technology Law

In this essay, I explore the potential implications of adolescent use of AI assistants on the development of adolescents’ capacities for autonomy. Thinking through these issues from the perspective of first principles is, I believe, needed in order to sharpen our understanding of some of the issues AI assistants pose for young people. A clear analysis will suggest which legal or policy prescriptions should follow.

I first give an overview of adolescent use of AI assistants, noting their popularity and the variety of use contexts. Drawing upon the work of Catriona Mackenzie, I then outline a relational conception of autonomy …

Central Bank Financial Strength, Credibility, And Global Market Risk: Evidence From Southeast Asian Economies, Mega Fauziah, Hermanto Siregar, Solikin M. Juhro, Tanti Novianti, Sigit Wibowo

Bulletin of Monetary Economics and Banking

This paper examines central bank credibility in the context of its financial strength, independence, and global market uncertainty in five Southeast Asian countries between 2005 and 2023. We find that the global market risk indicated by VIX reveals that these Southeast Asian economies, despite achieving considerable central bank independence and institutional development, remain fundamentally constrained by global market conditions in maintaining their credibility, measured by the difference between the inflation rate and its target in the same year. We argue that in emerging economies exposed to global uncertainty, central bank profitability, conditional on its independence, is vital for central banks …

Inflation-Differential Rule Versus (De Facto Soft-Peg) Discretion: Exchange-Rate Management Approach In Developing Economies, Behnam Ebrahimi, Mohammad Vaez Barzani Dr.

Bulletin of Monetary Economics and Banking

Many developing and emerging economies officially report a managed floating exchange-rate regime tailored with a fundamental exchange rate management approach, while in practice operating a de facto soft peg, characterized by discretionary, near-constant exchange-rate depreciation aimed at dampening inflation expectations. This discretionary approach—often justified as a pragmatic response to inflationary pressure—produces a hybrid regime that lacks the transparency and credibility emphasized in IMF policy guidance. This study evaluates whether substituting Discretionary Soft-Peg Exchange Rate Management approach with an Inflation-Differential Rule of Exchange Rate Management approach, which links exchange-rate adjustments to the inflation differential between domestic and rest of the world, …

Fiscal Decentralization, Local Government Size, And Regional Economic Growth: Evidence From Indonesia, Faizul Mubarok, Hasta Dwi Pradana, Etty Puji Lestari

Bulletin of Monetary Economics and Banking

This study investigates the dynamic relationship between fiscal decentralization, local government size, and regional economic growth in Indonesia. Integrating fiscal federalism theory with the Armey curve framework, the study examines whether decentralization reshapes the scale of subnational governments and how this influences growth outcomes. Using balanced panel data from 26 Indonesian provinces over the period 1995–2020, the analysis employs dynamic panel estimators based on the Generalized Method of Moments (GMM) to address endogeneity, persistence, and unobserved heterogeneity. The results reveal a nuanced relationship between fiscal decentralization and government size. Greater revenue autonomy is associated with a contraction in government size …

Oil Futures Reactions To Monetary Policy Surprises: A High-Frequency Analysis, Syed Mujahid Hussain Dr., Basel Awartani, Farrukh Javed, Iqbal Khadaroo Dr., Nader Virk Dr.

Bulletin of Monetary Economics and Banking

This study examines how oil futures respond to monetary policy shocks arising from FOMC and ECB target-rate announcements, using high-frequency data. The results indicate that both sets of announcements significantly influence oil futures prices. However, FOMC decisions have a more pronounced effect on oil futures, whereas ECB interest rate surprises predominantly have a limited impact on the oil futures return and volatility. The analysis further uncovers an asymmetric response to positive versus negative interest rate shocks. These findings enhance the understanding of how monetary policy surprises are transmitted to oil futures markets. Therefore, these results have important implications for policymakers …

The Nusantara Capital City (Ikn) Relocation: Autocratic Legalism And The Marginalization Of Local Communities, Imam Syafi'i, Dian Aulia

The Indonesian Journal of Socio-Legal Studies

The first phase (2022–2024) of the Nusantara Capital City (IKN) relocation prioritizes the construction of the city's physical infrastructure under the “Nusa Rimba Raya” concept. During this phase, the massive development of supporting infrastructure, including government buildings, official residences, toll roads, ports, and the VVIP airport, has driven increased demand for materials and land, impacting areas beyond the delineation of IKN. However, the power-driven approach in the capital relocation policy has led to socio-ecological injustices for indigenous and local communities by disregarding meaningful public participation and environmental sustainability. Land acquisition through the Land Bank (Bank Tanah), which prioritizes investment, along …

Comparative Legal Study On Corruption In The Construction Sector: Indonesia And China, Seng Hansen, Liang Qi

The Indonesian Journal of Socio-Legal Studies

This study aims to compare the legal approaches to corruption in the construction sector in Indonesia and China. The construction sector in both countries is often fertile ground for corruption, which harms the economy and creates social inequality. This study employs a comparative legal analysis method to examine regulations, policies, and the effectiveness of law enforcement in combating corruption within the construction sector in both countries. The primary focus of this study is a comparison of applicable anti-corruption laws and the roles of law enforcement agencies, such as the Corruption Eradication Commission (KPK) in Indonesia and the Central Commission for …

Observed Mandibular Advancement In Mild And Moderate Osa: A Retrospective Study, Celina Kim

Loma Linda University Electronic Theses, Dissertations & Projects

Mandibular advancement devices (MAD) are an evidence-based alternative for adults with obstructive sleep apnea, but the amount of mandibular advancement associated with objective response is unstudied.

To evaluate the amount of mandibular advancement that leads to reduced AHI in patients with mild (n=41) and moderate (n=20) sleep disordered breathing (SDB).

The retrospective analytic sample of 61 adults with baseline apnea-hypopnea index between 5 and 30 events per hour we divided into mild and moderate SDB groups. Titrated mandibular advancement was performed until: 1) 50% baseline AHI and 2) AHI was below 10. Paired tests evaluated change in apnea-hypopnea index. Fisher's …

Medical Liability In The Age Of Ai-Driven Healthcare: Ethical Challenges And Legal Framework Recommendations, Rani Tiyas Budiyanti, Roro Isyawati Permata Ganggi, Penggalih Mahardika Herlambang

The Indonesian Journal of Socio-Legal Studies

The integration of artificial intelligence (AI) in healthcare is progressing rapidly and is applied to various aspects of medical practice, including diagnosis, treatment planning, and patient care. However, the integration of AI in healthcare raises complex legal and ethical issues, particularly regarding medical liability. The growing development of AI technology is blurring the concepts of responsibility and accountability in medical practice. Furthermore, with AI systems becoming increasingly autonomous in their decision-making processes, it becomes increasingly difficult to determine responsibility in cases of medical errors or actions that harm patients. In view of this situation this article argues that it is …

Discomfort Avoidance And Desire For Normality Are Decision-Making Drivers Of Footwear Choice In Underserved Communities At Risk Of Diabetic Foot Ulcer, Krithika Anil, Neeraj Sharma, Sonal Patel, Jess Bailey, Catherine Smith, Sally Abey, Kayce Allcock, Richard Collings, Joanne Paton

School of Health Professions

BackgroundDiabetes-related foot ulceration (DFU) is a serious complication that can lead to lower limb amputation or death. Custom-made footwear is a key preventative strategy, yet adherence to use is often low. The factors influencing decision-making for footwear use remain unclear, particularly among underserved groups such as people from low socioeconomic and South Asian backgrounds. This study aimed to identify the psychological mechanisms underlying footwear choice and adherence in people with diabetes from low socioeconomic and South Asian populations.MethodsThis study used a qualitative approach conducted in two parts. Part 1 explored footwear-related experiences using one-to-one interviews informed by the COM-B model …

Exploring Factors Affecting The Use Of Blended Diets For Children And Young People In Health, Education And Social Care Settings In The Uk: The Protocol For A Realist Mixed Methods Study, Gemma Phillips, Jane Coad, Mary Hickson, Joseph C. Manning

School of Health Professions

Background Enteral tube feeding provides supplementary or alternative nutrition for individuals who cannot meet their nutritional needs orally and remains essential for a number of children and young people with complex health needs. Commercial formula remains standard practice in the UK, although increasing numbers of children and their families are choosing a blended diet and reporting significant physical and social benefits. However, support for families in using blended diets varies across health, education and social settings in the UK. Aim To explore factors affecting the use of blended diets in health, education and social care settings. Methods This sequential mixed …

Karhunen-Loève Modes For Coherent Arrays, Jack E. Mccrae, Santasri R. Bose-Pillai, Steven T. Fiorino

Faculty Publications

The optimal modes for correcting atmospheric turbulence on coherent arrays are determined. These Karhunen-Loève modes are eigenvectors of a covariance matrix. Creating this covariance matrix requires knowledge of the power spectrum of the turbulence, the aperture geometry, and a basis set for the matrix. The Kolmogorov power law is ordinarily chosen here for the turbulence spectrum. By choosing the phase on each array subaperture element minus the phase averaged over all subapertures as this basis, infinite values in the variances and covariances can be avoided. The piston mode of the whole array, which would otherwise also be infinite, is thus …

The Relationship Between Adverse Childhood Experiences, Protective And Compensatory Experiences, And Parenting Attitudes Among Fathers, Kylie Schmidt

Dissertations

Adverse childhood experiences (ACEs) are defined as potentially traumatic events that occur in childhood particularly between the ages of 0 and 17 years that negatively influence long-term health, relational functioning, and parenting practices (Centers for Disease Control and Prevention, 2026; Felitti et al., 1998; Merrick et al., 2019). Conversely, protective and compensatory experiences (PACEs) have emerged as protective factors that foster resilience and possibly buffer against the adverse outcomes of ACEs (Narayan et al., 2018). As the existing research has greatly focused on mothers, little is known about how men’s early life experiences shape their parenting attitudes, particularly during the …

Examining The Impact Of Social Support On Academic Self-Efficacy In Black Doctoral Students In Psychology, Asia A. Hall

Dissertations

This study examined the relationship between perceived social support and academic self-efficacy, or academic confidence, among Black doctoral students in psychology programs at predominantly White institutions (PWIs). Grounded in self-efficacy theory, the study was designed to explore whether perceived social support was associated with and predictive of students’ academic confidence. A quantitative, cross-sectional design was used, and data were collected using adapted versions of the Multidimensional Scale of Perceived Social Support (MSPSS) and the Academic Self-Efficacy (ASE) scale. The sample consisted of 60 Black doctoral students enrolled in psychology programs at PWIs across the United States. Descriptive statistics indicated the …

Offline And Thriving: Understanding The Professional And Personal Lives Of Non-Social Media Users In A Digitally Dominant Era, Bhargava Mantena

Dissertations

Existing research has treated voluntary social media abstinence as the absence of users rather than as a condition worth study. This mixed-methods study examined its psychological and occupational correlates. Adults aged 21 to 65 reporting abstinence from all major platforms for six months or more completed three validated instruments measuring mental well-being, work engagement, and perceived social isolation; a purposive subsample of 12 took part in semi-structured interviews. The analysis set comprised 120 participants, below the 128 indicated by the a priori power analysis. Research Question 1 could not be tested as approved, because no active-user comparison group was recruited; …

Vascular Burden Attenuates The Tdp-43-Tmem106b Pathological Relationship In Neurodegenerative Disease With And Without Alzheimer Disease Neuropathological Change, Matthew B. Dopler, Cole Corbett, Angelique D. Gonzalez, Ali Ghaseminejad-Bandpey, Mallory Keating, Kyra M. Clarke, Oluwaseun B. Ogunbona, Gladys Maestre, Sudha Seshadri, Shahroo Etemadmoghadam, Margaret E. Flanagan

School of Medicine Publications

TMEM106B, a lysosomal transmembrane protein, is a risk factor for neurodegenerative diseases, including Alzheimer disease (ad) and TDP-43 proteinopathies. TMEM106B pathology occurs in normal aging and is increased in TDP-43 proteinopathy but its role in dementia remains unclear. Cerebrovascular disease (CVD) is a driver and co-pathology of dementia, yet its contribution to TMEM106B accumulation in the context of TDP-43 and ad neuropathological changes (ADNC) has not been explored. We analyzed post-mortem human hippocampal sections spanning not-, low-, intermediate-, and high-ADNC. In secondary analyses, cases ≥65 years were stratified by TDP-43 immunopositivity and CVD severity; cases < 65 years were included to contextualize age-associated effects. TMEM106B immunoreactivity was quantified using digital pathology. Linear regression models demonstrated that age and sex (higher in females) were independent predictors of TMEM106B immunopositivity whereas Braak stage, CERAD-NP score, and Thal phase were not. The positive TDP-43-TMEM106B association was attenuated with increased CVD pathology severity, suggesting that vascular burden modifies this relationship. Sensitivity analyses restricted to LATE-NC attenuated several associations, indicating that pooled TDP-43 findings should be interpreted cautiously given possible disease heterogeneity. TMEM106B immunoreactivity was most strongly associated with age and sex, while vascular burden, rather than ADNC level, modified its relationship with TDP-43 proteinopathy.

Noncoding Rna Transcripts Based Molecular Phenotyping Of Masld And Mash Patients, Frida M. Delgadillo, Karla Perez, Barbara Yang, Subramanian Dhandayuthapani, Murali Yallapu, Subhash C. Chauhan, Enrique I. Ramos, Shrikanth S. Gadad

School of Medicine Publications

Background and aims: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a progressive hepatic metabolic disorder characterized by excessive fat accumulation in hepatocytes. MASLD can advance to metabolic dysfunction-associated steatohepatitis (MASH). These conditions often lead to hepatic fibrosis, cirrhosis and hepatocellular carcinoma (HCC) if not timely diagnosed and managed; thus, molecular phenotyping of MASLD and MASH conditions is highly desirable. The analyses were performed to identify distinct, differentially expressed genes, particularly noncoding ones, in MASLD and MASH patient samples, thereby expanding diagnostic and therapeutic options.

Methods: We extracted the data from a recent transcriptomic study by Govaere et al. on MASLD …

Longitudinal Association Between Midlife Cardiovascular Health And Cognitive Change In A Bi-Ethnic Cohort, Janette Vazquez, Rebecca Bernal, Luis Aguirre, Jesus D. Melgarejo, Gladys Maestre, Sudha Seshadri, Helen P. Hazuda, Chen-Pin Wang, Claudia Satizabal

School of Medicine Publications

Introduction: Midlife cardiovascular burden contributes to cognitive decline and dementia. However, research in diverse populations remains scarce.

Methods: We included 402 San Antonio Heart Study participants (1979–1988; midlife mean age 57.9 ± 3.8, 58.5% women, 52% Mexican American) later enrolled in the San Antonio Longitudinal Study of Aging (1992–2004). Midlife cardiovascular health was assessed using Life's Simple 7. Cognition was measured up to four times with the Mini-Mental State Examination. Generalized estimating equation models adjusted for age, sex, income, and education were used to relate cardiovascular factors to cognitive change. Sensitivity analyses evaluated attrition bias.

Results: Physical activity was associated …

Targeting Grasp-Related Cortical Areas For Intracortical Brain-Machine Interfaces, Tyler R Johnson, Crispin Foli, Emily C Conlan, Katherine A Koenig, Mark J Lowe, William D Memberg, Robert F Kirsch, Eric Z Herring, Stanley F Bazarek, Emily L Graczyk, Dawn M Taylor, A Bolu Ajiboye, Jennifer A Sweet

Faculty, Staff and Student Publications

This study aimed to improve intracortical microelectrode array implantation sites for grasp-related motor decoding by integrating anatomical, functional, and vascular imaging with preoperative 3D modeling. A participant with C5 tetraplegia underwent anatomical MRI, diffusion-weighted imaging, and task-based fMRI to identify grasp-related cortical regions while avoiding vasculature and speech-critical areas. Quicktome software was used to refine target selection by integrating structural connectivity and functional activation data. A 3D-printed skull and cortical model enabled preoperative planning, including craniotomy and electrode positioning simulations. Electrode placement was validated postoperatively using neural data collected from the implanted arrays during attempted movements of the arm and …

Evaluating Reciprocal Peer Learning In Nursing Clinical Simulation, Amanda C. Graf, Carol Crevacore, Fleur Morine, Jennifer Jennings, Olivia Gallagher

Research outputs 2022 to 2026

Background: Reciprocal peer learning (RPL) emphasizes collaborative learning through social interaction, with students acting as both learners and teachers. This pilot study evaluated an RPL program in clinical simulation within a nursing curriculum.

Methods: A mixed-methods design used questionnaires to assess peer-learning experiences and peer-teaching roles, alongside qualitative interviews. Data were analyzed using multiple methods.

Results: Seventeen students participated. Students lacked confidence as peer instructors and found corrective feedback challenging, however, they valued peer observation, felt less anxious when taught by peers, and reported greater engagement and practice opportunities.

Conclusion: RPL benefited learning, but structured peer-feedback training is needed.

Never Say Never: The Interdependence Of No-Till And Strategic Deep Tillage In Sustainable Production Systems, Therese Mcbeath, Stephen Davies, John A. Kirkegaard

Grain and Other Field Crops Research Articles

No-till (NT) farming systems are a defining feature of modern conservation agriculture (CA), providing benefits for soil and water conservation, operational efficiency, and resource use efficiency. However, long-term NT adoption across Australian dryland cropping systems has also intensified inherent and emergent soil constraints, including subsurface compaction, topsoil water repellence, acidity, and nutrient stratification. These constraints limit crop water use and yield potential. In the sandy soils of southern and western Australia, strategic deep tillage (SDT) has been developed in otherwise NT systems to alleviate these constraints. Advances in machinery design and controlled traffic systems have enabled deeper, more effective amelioration …

An Evaluation Of Next Generation Biological Control Methods For The Invasive Brown Treesnake In The Mariana Islands, Jonathan Q. Richmond, Tim Harvey-Samuel, Melia G. Nafus, Adam Perez, Renee Bellinger, Antoinette J. Piaggio, Riley Taitingfong, Margaret E. Hunter, Robert N. Fisher

United States Department of Agriculture Wildlife Services: Staff Publications

No abstract provided.

Internal Verdicts Track Evidence: A Template-Controlled Neutrosophic Reading Of Epistemic States In Large Language Models Via The Jacobian Lens, Maikel Yelandi Leyva Vazquez, Alexis Matheu Perez, Florentin Smarandache

Neutrosophic Sets and Systems

For twenty-five years, neutrosophic logic has assigned independent degrees of truth (T), indeterminacy (I), and falsity (F) to model epistemic states that classical and fuzzy semantics cannot express. All previous applications, however, measured these components on outputs: answers, judgments, expert evaluations. This paper reports, to our knowledge, the first neutrosophic reading of components inside the internal representations of a large language model. Using the recently released Jacobian lens on Qwen3.5-4B, we project intermediate-layer readouts onto lexicons of support, refutation, and hedging, obtaining layer-wise (T, I, F) profiles under three epistemic conditions (conflicting evidence, first-person false belief, factual control; n = …

Integration Of Lipidomic And Polygenic Risk Scores Within Contemporary Clinical Cardiovascular Risk Assessment Pathways: A Multi-Cohort Development And Validation Study, Aleksandar Dakic, Jingqin Wu, Tingting Wang, Thomas G. Meikle, Kevin Huynh, Changyu Yi, Habtamu B. Beyene, Agus Salim, Michelle Cinel, Nat Mellett, John Blangero

Human Genetics Publications

Background: Guideline-recommended clinical risk scores such as AusCVDRisk underestimate cardiovascular disease (CVD) risk in a substantial proportion of individuals who later experience events, with up to 65% initially classified as low or intermediate risk. This limitation is most consequential in the intermediate-risk group, where treatment decisions are uncertain and additional risk refinement could alter management. Circulating lipid species and inherited genetic variation capture complementary molecular aspects of atherosclerotic risk that are not fully reflected by conventional clinical variables, but are not routinely incorporated into primary-care risk assessment. We investigated whether selective integration of lipidomic and genomic risk signals into AusCVDRisk …

Prevalence And Availability Of Specialty Dental Care Sites For Children Covered By Medicaid And Chip In The United States, Jonmichael Cope, Aaron David, Chase Otto, Inder Sehgal

Student Publications

Introduction: Access to dental care is a critical aspect of children's healthcare. For these reasons, Medicaid and Children's Health Insurance Program (CHIP), administered by states, cover medically necessary services. Specialty providers can enroll and participate in state or state-contracted plans, but availability varies widely. Our research objective was to evaluate the availability of non-general dentist specialists in endodontics, oral and maxillofacial surgery, orthodontics/dentofacial orthopedics on the InsureKidsNow website for Medicaid/CHIP enrollees, on a state-by-state basis, and to compare these with pediatric dental availability.

Methods: This is an observational, cross-sectional descriptive study. InsureKidsNow.gov was searched to identify and compare available and …

Neutrosophic Sets And Systems, Vol. 101, 2026, Proceedings Of The International Conference On Artificial Intelligence, Indeterminacy, And Education, University O'Higgins, Santiago, Chile, Florentin Smarandache, Maikel Yelandi Leyva Vazquez

Neutrosophic Sets and Systems

No abstract provided.

Typed Abstention For Llm-Elicited Fuzzy Criteria In Multicriteria Transportation Decisions, Maikel Yelandi Leyva-Vazquez, Nezir Aydin

Neutrosophic Sets and Systems

Fuzzy multicriteria decision-making (MCDM) increasingly draws its criterion evaluations from large language models (LLMs), but the aggregation step typically treats these elicited judgments as interchangeable with expert opinion, with no mechanism to flag disagreement, insufficiency, or unreliable sources. We port a source-preserving, typed-abstention decision policy into fuzzy-MCDM pipelines, instantiated on a four-alternative sustainable-transportation case, and report two live pilots. Pilot 1 returns all-coherent; Pilot 2, redesigned with criteria of greater normative dependence, shows the gate firing on real disagreement. We report both pilots candidly and verify the gate's logic with synthetic unit tests.