Digital Commons Network^™

Neutrosophic-Logistic Hybrid Model To Evaluate The Effectiveness Of Penitentiary Policies And Their Impact On Criminal Recidivism In Ecuador, Ignacio Fernando Barcos Arias, Jennifer Angelina Almagro Triana, Ariana Michelle Mazacón Campoverde, Jason Guayaquil Cobo

Neutrosophic Sets and Systems

This study aims to develop a hybrid model that combines neutrosophic logic with logistic regression to evaluate the effectiveness of prison policies in Ecuador and their impact on criminal recidivism. The central problem lies in the inefficiency of the Ecuadorian prison system, characterized by high levels of intra-prison violence, deficiencies in rehabilitation and social reintegration programs, and a rising recidivism rate among inmates. This situation is exacerbated by the employment discrimination that ex-offenders face when reintegrating into society, which limits their opportunities and encourages the repetition of criminal behavior. The methodology applied was a mixed approach, with a non-experimental cross-sectional …

Structural Equilibrium In Universities: Quality, Finance And Sustainability From An Empirical Perspective: An Integrative Analysis With Neutrosophic Cognitive Maps, Claudio Ruff, Herminia Gavilán, Juliana Vassileva, Bastián Gutiérrez

Neutrosophic Sets and Systems

This study explores the structural relationships between institutional financial health and academic quality in Chilean higher education institutions (HEIs) by applying multivariate tools such as the dynamic HJ- Biplot and fixed-effects regression models for panel data, complemented by neutrosophic cognitive maps (NCMs). Using data from the 2016–2023 period, differentiated institutional trajectories are analyzed based on their membership in free tuition policies, university type (CRUCH, private), and financial structure. The results show that variables such as student retention, physical infrastructure, and academic training significantly influence key financial indicators such as liquidity, leverage, and operating margin. NCMs reveal degrees of indeterminacy in …

Contributions Of Educational Investment To International Student Mobility: A Multivariate And Neutrosophic Analysis Of Educational Service Quality In Oecd Data, Alexis Matheu Pérez, Roberto Cortés, Alain Carrier, Carlos Sebrango

Neutrosophic Sets and Systems

This article examines the impact of educational investments in higher education on student international mobility from 39 OECD countries between 2013 and 2020 through multivariate statistical analyses and neutrosophic modeling of the SERVQUAL Neutrosophic Model. The findings, based on principal component analysis, biplot conclusions, and multiple linear regressions, suggest that there is a complicated, mixed relationship between investment per student, investment as a percentage of higher education, and part-time employment. However, findings establish that educational investments (in unconditional numbers) have a direct nexus to international mobility, linking biometrics to positive human well-being efforts, sustainability of academic disciplines, and responsible, relative …

Digital Divide In Latin America: A Multivariate And Neutrosophic Delphi Analysis For Inclusion And Public Policy, Cristian Cornejo Gaete, Viviana Tartakowsky Pezoa, Claudio Ruff Escobar, Jaime Zañartu Reyes

Neutrosophic Sets and Systems

This study examines access to digital connectivity in Latin America, highlighting both progress and persistent structural inequalities. In the context of the pandemic, the internet has consolidated its position as an essential tool for daily life, highlighting deep gaps between countries, urban and rural areas, and different socioeconomic groups. Using the graphical multivariate HJ-Biplot method, complemented by a Neutrosophic Delphi approach to model indeterminacies in digital inclusion policies, the research question is addressed: How are Latin American and Caribbean countries grouped according to their level of access to digital connectivity, considering socioeconomic, age, ¿and geographic differences? The hypothesis guiding this …

Predictive Model Of School Dropout In Higher Education Through Learning Analytics With Neutrosophic Plithogenic Hypotheses, David Núñez, Purificación Galindo-Villardón

Neutrosophic Sets and Systems

Higher education dropout rates are an international problem, as many people abandon their studies, especially in the early years. This problem affects institutions, causing significant losses. In this context, it is essential to consider methods that allow for predicting dropout rates and taking rapid and effective measures. Objective: The main objective is to analyze prediction models using Learning Analytics, integrating neutrosophic plithogenic hypotheses, to identify early the risk of dropout in higher education. This provides institutions with useful tools to implement actions that help retain more students, considering uncertainty and complex interactions between academic and non-academic factors. Methodology: The method …

Prediction Of Therapeutic Response To Probiotics In Inflammatory Bowel Diseases With Neutrosophic Regression, Carlos Castañeda Guillot, Ronelsys Martínez Martínez, Yohan Manuel Mancha Alfonso

Neutrosophic Sets and Systems

Therapeutic prediction response to probiotics in the field of inflammatory bowel disease (IBD) has been a struggle for the gastroenterology field of studies. However, as IBD increases in the general population and varying reports of treatment response due to heterogeneous use of probiotics suggests greater predictive need. In addition, based on the multitude of articles currently published correlating the gut microbiome with disease pathology, there remains a theoretical gap in the literature. That is, the application of neutrosophic statistics to simulate the uncertainties experienced by biological information and later clinical real world data. This article seeks to fill that gap …

Resolving Contradictions In Public Policies On Child Begging: An N- Alectic Approach, Esther Maricela Coello Avilés, Kevin Luis Flores Vega, Keyla Nayely Casquete Cedeño

Neutrosophic Sets and Systems

This project fills a wicked problem gap with policy assessments relative to child begging—a condition that keeps children in a vulnerable state within the confines of the urban setting—and the literature gap exists because while prior researchers aimed to review child begging policy assessments, none have done so from an dialectic, multidisciplinary, moral and social intersectional perspective. Filling the literature gap relevance is about contribution to the field because many of these policies stem from an otherwise noble cause to either imprison or render assistance to vulnerable children yet fail when a poorly socioeconomic population's public safety gets in the …

Determination Of The Socio-Emotional Consequences Of Visible Pigmentary Alterations Using Neutrosophic Owa-Topsis, Varna Hernández Junco, Zenia Batista Castro, Regla Cristina Valdés Cabodevilla, Vivian González Aguilar, Leslie Cardet Carballosa

Neutrosophic Sets and Systems

This study addresses the socioemotional consequences of visible pigmentary disorders such as vitiligo and melasma, a problem that profoundly affects individuals' quality of life. The relevance of this research lies in the growing need to understand how these dermatological conditions influence self-esteem, social interactions, and psychological well-being, especially in diverse cultural contexts. Although existing literature has explored these impacts, it lacks approaches that integrate the uncertainty and subjectivity inherent in human experiences. To fill this gap, a PRISMA-based systematic review was conducted, analyzing articles from PubMed, Scielo, and Scopus (2015–2025), and the neutrosophic OWA-TOPSIS method was employed, which combines weighted …

Hap-Covid: Hybrid Model Integrating Machine Learning And Neutrosophic Statistics To Estimate Mortality Risk In Covid-19 Comorbid Patients, Daniel Iturburu-Salvador, Lorenzo Cevallos-Torres, Rosangela Caicedo-Quiroz, Irma Naranjo-Peña, Rosa Hernández-Magallanes, Rosa Gonzáles-Quiñones

Neutrosophic Sets and Systems

This study aims to utilize a hybrid predictive model to evaluate the mortality risk in COVID-19 patients with comorbidities. It is challenging to make clinical decisions while dealing with SARS-CoV-2 because of the high death rate related to chronic conditions such as diabetes, hypertension, chronic obstructive pulmonary disease (COPD), renal failure, heart disease, and cancer. To overcome this obstacle, a Monte Carlo algorithm-based simulated database was created, with clinical variables represented by Bernoulli and truncated normal distributions. Several prediction models, including Decision Trees, Naive Bayes, and Neutrosophic Statistics, were trained using this database. While the neutrosophic model permitted risk categorization …

Conditional Attribute-Based Pre: Definition And Construction From Lwe, Lisha Yao, Jian Weng, Pengfei Wu, Guofeng Tang, Guomin Yang, Haiyang Xue, Robert H. Deng

Research Collection School Of Computing and Information Systems

Attribute-based proxy re-encryption (AB-PRE) is a crucial variant of proxy re-encryption. It allows a proxy with a re-encryption key to transform a delegator’s ciphertext associated with an access policy into another ciphertext associated with a new access policy, enabling delegatees with matching attributes to decrypt the transformed ciphertext. However, a key limitation of AB-PRE is that the delegator cannot control which ciphertexts are transformed. As a result, the proxy, once given the re-encryption key, indiscriminately transforms all ciphertexts, effectively switching their underlying policies—an issue known as the all-or-nothing problem. It limits the system’s flexibility and practicality in real-world use cases.In …

Fcad: Feature-Coupled Anisotropic Diffusion For Continuous Graph Learning, Amitoz Azad, Zhiyuan Zhang

Research Collection School Of Computing and Information Systems

In this work, we propose a novel continuous graph neural network called FCAD (Feature-Coupled Anisotropic Diffusion) for the task of node classification on graphs. Our approach is motivated by the success of feature-coupled anisotropic diffusion PDEs in multivalued image restoration. Our method introduces a total variation regularization-inspired anisotropic term to control diffusion between nodes and incorporates a learnable parameterization for feature coupling during the diffusion process. Our model performs competitively against several GNN baselines for both heterophilous and homophilous graphs, demonstrating notable benefits for heterophilous graphs due to the learnable feature coupling.

Memad: Structured Memory Of Debates For Enhanced Multi-Agent Reasoning, Shuai Ling, Lizi Liao, Dongmei Jiang, Weili Guan

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) demonstrate remarkable in-context learning capabilities but often struggle with complex, multi-step reasoning. Multi-Agent Debate (MAD) frameworks partially address these limitations by enabling iterative agent interactions. However, they neglect valuable historical insights by treating each new debate independently. In this paper, we propose Memory-Augmented MAD (MeMAD), a parameter-free memory-augmented MAD framework that systematically organizes and reuses past debate transcripts. MeMAD stores structured representations of successful and unsuccessful reasoning attempts enriched with self-reflections and peer feedback. It systematically retrieves them via semantic similarity at inference time to inform new reasoning tasks. Our experiments on challenging mathematical reasoning, scientific …

Emoshortcuts: Emotionally Expressive Body Augmentation For Social Mixed Reality Avatars, Hyuna Seo, Youngki Lee, Rajesh Krishna Balan, Thivya Kandappu

Research Collection School Of Computing and Information Systems

We present EmoShortcuts1, a novel social Mixed Reality (MR) framework that enhances emotional expression by dynamically augmenting avatar body gestures to reflect users’ emotional states. While social MR enables immersive remote interactions through avatars, conveying emotions remains challenging due to limitations in head-mounted display (HMD) tracking (e.g., missing lower-body movements, such as stomping or defensive postures), and users’ tendency to deprioritize nonverbal expressions during multitasking. EmoShortcuts addresses these challenges by introducing an augmentation framework that generates expressive body gestures even when users’ physical movements are restricted. We conducted a formative study with 12 participants to identify key challenges in emotional …

Boosting Chart-To-Code Generation In Mllm Via Dual Preference-Guided Refinement, Zhihan Zhang, Yixin Cao, Lizi Liao

Research Collection School Of Computing and Information Systems

Translating chart images into executable plotting scripts-referred to as the chart-to-code generation task-requires Multimodal Large Language Models (MLLMs) to perform fine-grained visual parsing, precise code synthesis, and robust cross-modal reasoning. However, this task is inherently under-constrained: multiple valid code implementations can produce the same visual chart, and evaluation must consider both code correctness and visual fidelity across diverse dimensions. This makes it difficult to learn accurate and generalizable mappings through standard supervised fine-tuning. To address these challenges, we propose a dual preference-guided refinement framework that combines a feedback-driven, dual-modality reward mechanism with iterative preference learning. Our approach introduces a structured …

Art4math: Handwritten Mathematical Expression Recognition Via Multimodal Sketch Grounding, Yang Zhou, Jin Wang, Yuxiao Zhang, Kaixiang Huang, Guodong Lu, Jingru Yang, Shengfeng He

Research Collection School Of Computing and Information Systems

Handwritten Mathematical Expression Recognition (HMER) remains a challenging task due to the structural complexity of mathematical notation and the ambiguity of handwritten symbols-e.g., ''ρ'' vs. ''p'' or ''B'' vs. ''β''. While stroke-based models offer disambiguation via temporal cues, most existing methods are constrained by coarse modality fusion and a lack of fine-grained cross-modal alignment, further hindered by limited annotated data. We introduce Art for Math (Art4Math), a novel framework that leverages the structural richness of human sketches to enhance HMER through fine-grained, modality-aware learning. Art4Math follows a two-stage training paradigm: Art Grounding (A-Grd) and Math Decoding (M-Dec). In A-Grd, the …

A Qualitative Exploration Of Parents' Experiences Of Homeschooling In The United Arab Emirates: Motivations And Challenges, Reem Thani Aldhaheri

All Works

Homeschooling in the United Arab Emirates (UAE) is an understudied phenomenon despite the growing numbers of homeschoolers. Controversies about homeschooling and its impact on children’s well-being create a social stigma around families that choose to homeschool their children for various reasons. This study explored the experiences of homeschoolers in the UAE, specifically, the motivations for homeschooling and the challenges homeschooling families face during the experience. The study followed a qualitative exploratory approach using a semi-structured interview. The sample consisted of 16 parents of different nationalities living in the UAE. Data were analyzed using a thematic approach to gain an in-depth …

Neck Pain In Migraine: A Narrative Review And Steps To Correct Evaluation And Treatment, Tayla A. Rees, Diana Doukhi, Victor S. Wang, Anita Balcerbula, Michelle Bravo, Haniyeh Fathi, Bahtigul Holmuratova, Michalis Kodounis, Seblewongel A. Seyoum, Semih Tasdelen, Hasmik Vekilyan, Edoardo Caronna, Patricia Pozo-Rosich

Department of Neurology Faculty Papers

Background: Neck pain is common in migraine patients, occurring during all migraine phases and between attacks. It can be a migraine symptom, trigger or a coexisting condition, and is associated with greater disability and poorer treatment response. There is evidence that neck pain associated with headaches can be frequently incorrectly diagnosed as a cervical disorder rather than migraine, resulting in a lack of appropriate treatment. Accurately assessing the connection between neck pain and migraine is crucial for effective treatment. Methods: This narrative review aims to summarise existing research on the role and contribution of neck pain in migraine, both as …

Dean's Update, October 2025, Neil W. Schluger

SOM Dean's Research Newsletter

No abstract provided.

Better Digital Contracts With Prosocial Friction-In-Design, Brett Frischmann, Moshe Y. Vardi

Faculty Publications

Contract law is supposed to enable people to reach genuine agreements and cooperate. If this ideal was ever a reality, the rise of mass market contracts and boil­erplate rendered it pure fiction. Modern consumer contracts are incomprehensible to most people. No one reads them anyway.

Digital contracting involves design features that amplify traditional boilerplate harms and create others. For example, digital contracting is too cheap; low marginal costs lead to overexpansion in scale and scope. To make matters worse, the loss of autonomy from repeat engagement with digital contracting systems is pernicious. People become increasingly predictable and programmable as digital …

Peritoneal Immunosurgery: Immunotherapy Augmented Surgery For The Treatment Of Peritoneal Cancers, Ada I Ozcan, Arianexys Aquino López, Mary K Mckenna, Malcolm K Brenner, Alastair M Thompson

Faculty, Staff and Students Publications

Peritoneal malignancy often indicates disruptions in multiple physiological systems resulting from widespread cancer. The heterogenous origin and dynamic nature of peritoneal cancer make it difficult to treat with standard approaches that fit into guidelines. We describe how successful treatment should address the underlying pathology, the systemic response to surgical treatments and target the immune perturbations that facilitate the establishment and propagation of this multifaceted disease.

What Did The Global Adventist Pastors' Survey Reveal?, Robert K. Mciver, Wendy Jackson, Stephen J. Currow, Eerika Puni, Petr Činčala

Faculty Publications

No abstract provided.

Exploring Positive Psychology And Goal Setting In Esports Coaching: A Thematic Analysis Of Professional Fortnite Coaches, Samuel Jaffe, Nigel Jackson, Jonathan Rhodes

School of Psychology

This study investigates how professional Fortnite coaches integrate positive psychology, specifically Seligman’s PERMA (positive emotion, engagement, relationships, meaning, and accomplishment) model and goal-setting frameworks, to enhance player performance and well-being. Through semistructured interviews with 16 esports coaches, the research examines how psychological strategies influence motivation, resilience, and long-term success in a highly competitive, digital coaching environment. Using Braun and Clarke’s reflexive thematic analysis, three key themes were constructed: defining and measuring success, goal-setting practices, and balancing positive versus pressured coaching styles. Coaches defined success beyond tournament outcomes, emphasizing player development, consistency, and psychological resilience. Goal-setting strategies were highly individualized, blending …

Integration Of Sco2 Brayton Cycles With Carbon Capture Systems, Nathan C. Stearns, Rajarshi Roy, Brian Schooff, Andrew Chiodo, Andrew R. Fry, Brian D. Iverson

Faculty Publications

Increasing global energy consumption and greater market penetration of intermittent energy sources require a baseline power source to enable renewable energies. Here, a case is made for pairing supercritical CO₂ Brayton cycles with carbon capture to create low-emission, high-efficiency, combustion-based power generation systems. Pairing carbon capture and storage (CCS) systems with supercritical carbon dioxide (sCO₂) Brayton cycles enables the reduction of greenhouse gas emissions in combustion systems, but with an associated energy cost. Three different representative models of CCS systems (oxyfuel combustion, amine scrubbing, and cryogenic carbon capture) are considered for pairing with an sCO2 Brayton cycle, …

Art Forms: Born Out Of Necessity, Urmi Duttagupta

Publications and Research

This collection of artworks expresses the artist’s profound passion for mathematics and life’s complex balance. As a female mathematician, she uses artistic expression and intricate patterns to evoke mathematical beauty and feminine strength, celebrating the presence and resilience of women in mathematics.

From Summer Institute To Action: Advancing Equity And Inclusion In Stem Classrooms, Sandie Han, Nadia Kennedy, Malgorzata Marciniak, Diana Samaroo

Publications and Research

This Editor’s Note provides background on the CUNY Innovative Teaching Academy Summer Institute for Equitable and Inclusive STEM Teaching and Learning and introduces the articles featured in this special issue.

Active Learning: Eight Models That Shape Instructional Practice, A.E. Dreyfuss, Ana Fraiman, Karmen T. Yu

Publications and Research

Developed since the mid-20^th century, several instructional models have provided practical means to shift the emphasis in learning from lecture to engagement by students. The snapshots of models presented in this paper include Cooperative Learning, Problem-Based Learning (PBL), Supplemental Instruction (SI) (also PALS, PASS), Team-Based Learning (TBL), Emerging Scholars Program (Mathematics Workshop, MathExcel), Peer-Led Team Learning (PLTL), Process Oriented Guided Inquiry Learning (POGIL), and Learning Assistants (LA). These models have been well-disseminated, widely adopted, and incorporated in disciplines beyond their origins. For purposes of exploration and consideration of implementation, these “snapshots” provide an overview. Features of each model are …

Tutoring Online During The Covid-19 Pandemic: Use Of Critical Incidents To Improve Practice, A.E. Dreyfuss, Jose Armando Sanchez Diaz, Barakat Adigun, Helen Baraki, Thalyia Thompson

Publications and Research

Developing expertise in the practice of online tutoring is presented by peer tutors who provided support to students with synchronous sessions with the onset of COVID-19. The experiences and learning of peer tutors were probed through the use of critical incidents (Flanagan, 1954), and how weekly training meetings provided support to them, creating a collaboration among the tutors and the training manager.

Validation And Trend Analysis Of Satellite-Derived Surface Water Temperature Observations Over Adirondack Lakes, Marzi Azarderakhsh, Carolien Mossel, Abdou Rachid Bah, Aisha Malik, Fahmeda Khanom, Jonathan Borrelli, Pete Mcintyre, Hamidreza Norouzi, Kevin Rose

Publications and Research

This study aims to validate and evaluate satellite remote sensing observations from the Landsat series over 135 lakes in the Adirondack State Park, located in upstate New York, and to examine their surface temperature trends over the past 40 years. It utilizes data from the Moderate Resolution Imaging Spectroradiometer (MODIS), along with Landsat 5 and 7. Park-scale results were derived by extracting MODIS surface temperatures within the park boundary, while lake-scale results were estimated using Landsat 5 (1984-2012) and Landsat 7 (1999-2023) observations. In addition, field observations were utilized to perform a comprehensive validation and evaluation of satellite-based surface temperature …

The Association Of Cancer-Preventive Lifestyle With Colonoscopy Screening Use In Border Hispanic Adults Along The Texas-Mexico Border, Paul Gerardo Yeh, Audrey C. Choh, Susan P. Fisher-Hoch, Joseph B. Mccormick, David R. Lairson, Belinda M. Reininger

School of Medicine Publications

Purpose: The relationship between engaging in two domains of cancer-preventive behaviors, lifestyle behaviors and colonoscopy screening, is unknown in Hispanic adults. Accordingly, the study examined the association between lifestyle and colonoscopy screening in Hispanic adults along the Texas–Mexico border, where there is suboptimal colorectal cancer prevention.

Methods: Lifestyle behavior adherence and compliance with colonoscopy screening schedules were assessed using 2013–2023 data from the Cameron County Hispanic Cohorta populationbased sample of Hispanic adults living along the Texas–Mexico border. The 2018 World Cancer Research Fund scoring system characterized healthy lifestyle engagement. Multivariable logistic regression quantified the association between lifestyle behaviors and colonoscopy …

Predicting Major Depression Among Diverse Online Gamers: The Role Of Internet Addiction And Spirituality, Lindsay Lundeen, John R. Mccall

Counseling, Leadership, and Research Methods Faculty Publications and Presentations

This study analyzed whether religious or spiritual affiliation and therapy enrollment protect against symptoms meeting Major Depressive Disorder criteria beyond demographic, Internet addiction, and described therapy enrollment. Findings illustrated one risk factor and one protective factor associated with experiencing symptoms that meet Major Depressive Disorder criteria: impairments and dysfunctional self-regulation increased participant probability and risk, while religious or spiritual affiliation decreased the probability of and protected participants from depressive symptoms. The findings underscore the complexities of Internet addiction and depression symptoms among a population of diverse online gamers, highlighting a critical need for tailored counseling interventions.