Digital Commons Network^™

Operating Fund Budget/ Expenditure Summary Report 3rd Quarter 2025-26, Csusb Budget Office

University Budget Office records

No abstract provided.

Athletic Participation And Youth Justice System Involvement, Dominic R. Graves, April Terry

SACAD: Scholarly Activities

Research supports the role of prosocial leisure activities in reducing justice system involvement. Athletic-based programs have mixed findings regarding reducing system involvement among youth. However, when implemented correctly, sports programs can greatly benefit youth by providing them with structured adult supervision and mentorship. This poster briefly introduces the social bond theory supporting the influence of athletics and highlights potential negative associations with athletic-based programs. This poster concludes with a review of current implementation and future guidance.

Application Of The Finite Integral Transformation Method To The Solution Of Mixed Problems For Antiparabolic Equations, Elmagha A. Gasymov

Baku Mathematical Journal

In the paper we study a mixed problem for an antiparabolic equation. Applying the finite integral transformation to the solution of the mixed problem under consideration, we obtain an appropriate spectral problem. Under certain conditions we study the spectral problem and establish some expansion formulas. Applying the inverse integral transformation, we obtain the analytic representation of the mixed problem under consideration.

The Uniqueness Of Reconstruction Of Diffusion Operators With Boundary Condition Depending Quadratically On The Spectral Parameter, Ibrahim M. Nabiev, Leyla I. Mammadova, Guldane S. Mammedzadeh

Baku Mathematical Journal

The article considers diffusion operators with non-separated boundary conditions, one of which contains a quadratic function of the spectral parameter. Some properties of the spectrum of the operators under consideration are given, uniqueness theorems for the solution of inverse problems of reconstruction of the corresponding boundary value problems are proved.

Transforming Nursing Clinical Education: The Power Of Environment, Student Motivation, And Clinical Instructors, Lia Mulyati, Nur Wulan, Abdal Rohim

Jurnal Keperawatan Indonesia

Clinical learning is an important component in the formation of nursing students’ professional competence. The clinical environment, student motivation, and the role of clinical instructors are factors that influence the achievement of learning outcomes in nursing clinical practice. However, the relationship between these factors is still not fully understood. This study aims to examine the relationship between the clinical environment, student motivation, and the role of clinical instructors, and to determine how these three factors contribute to learning outcomes in nursing clinical practice. A quantitative design with a cross-sectional survey approach was used. The sample consisted of 117 nursing students, …

Effects Of Screen Time On Childhood Development, Elizabeth Bridge

Psychology Student Publications

This science communication paper explores the psychological effects of screen time on childhood development. It emphasizes the effects on childhood intelligence, social skills, language skills, emotional regulation skills, and mental health.

The Predictive Ability Of Child Characteristics And Parenting Factors On Four Developmental Domains In Toddlers, Melly Latifah, Dwi Hastuti, Neti Hernawati, Reisi Nurdiani, Raihan Ainun Hasanah

Jurnal Keperawatan Indonesia

Stunting is a chronic condition that has a significant impact on child development. This phenomenon is primarily caused by prolonged nutritional deficiency, especially during the first 1,000 days of life. In addition, as family factors also play a crucial role in children’s development, this study aims to analyze the influence of child and family characteristics, mother–child attachment, parenting practices, and the nutritional status of children (stunted/non-stunted) on children’s gross motor, fine motor, language, and personal–social skills. This study used a quantitative design with an explanatory approach involving 202 mother–child pairs with children aged 12–36 months. The findings show that healthcare …

Decorrelation, Diversity, And Emergent Intelligence: The Isomorphism Between Social Insect Colonies And Ensemble Machine Learning, Ernest Fokoue, Gregory Babbitt, Yuval Levental

Articles

Social insect colonies and ensemble machine learning methods represent two of the most successful examples of decentralized information processing in nature and computation respectively. Here we develop a rigorous mathematical framework demonstrating that ant colony decision-making and random forest learning are isomorphic under a common formalism of stochastic ensemble intelligence. We show that the mechanisms by which genetically identical ants achieve functional differentiation— through stochastic response to local cues and positive feedback—map precisely onto the bootstrap aggregation and random feature subsampling that decorrelate decision trees. Using tools from Bayesian inference, multi-armed bandit theory, and statistical learning theory, we prove that …

A General Weighting Theory For Ensemble Learning: Beyond Variance Reduction Via Spectral And Geometric Structure, Ernest Fokoue

Articles

Ensemble learning is traditionally justified as a variance-reduction strategy, explaining its strong performance for unstable predictors such as decision trees. This explanation, however, does not account for ensembles constructed from intrinsically stable estimators-including smoothing splines, kernel ridge regression, Gaussian process regression, and other regularized reproducing kernel Hilbert space (RKHS) methods whose variance is already tightly controlled by regularization and spectral shrinkage. This paper develops a general weighting theory for ensemble learning that moves beyond classical variance-reduction arguments. We formalize ensembles as linear operators acting on a hypothesis space and endow the space of weighting sequences with geometric and spectral constraints. …

Modulation Of Behavior In The Medicinal Leech Due To Injury And Stress, Ella Dockendorf

Honors Thesis

Many studies have focused on trying to discover the fundamental processes of pain and stress. This is rather difficult for pain especially, since pain-relate behaviors include multiple components of which some are emotional while others are sensory. In this study, we use an operant conditioning assay and phototaxis assay to determine the behavioral effects of injury and stress within Hirudo verbana. Operant conditioning involved placing the animals in a two-chamber arena, with one chamber being illuminated and the other being completely dark with a pea gravel barrier in the connecting section of the arena. Normal animals improve their latency …

Determining Factors Leading To Sobriety In Native American Graduates Of A Joint-Jurisdictional Court Program, Ryan Fisher

Walden Dissertations and Doctoral Studies

The issue of driving under the influence (DUI) is a continuous problem in rural communities, especial those in Indian Country. Alcohol use and abuse has long been a health concern for these communities contributing to higher mortality rates and increased incarceration rates for American Indian / Alaskan Native (AIAN) populations. Wellness courts, using the problem-solving court model, have been successful in helping DUI offenders achieve sobriety and wellness. While the model has been successful, there remains a lack of qualitative research into why participants find success in these programs; especially marginalized populations such as AIAN. This phenomenological qualitative study was …

Design And Implementation Of A Solar-Powered Autonomous Drain-Cleaning Robot With Iot And Vision-Based Debris Detection, Nik Nor Afiza Che Isa, Nor Zaihar Yahaya

Platform: A Journal of Engineering

Drain blockages caused by dried leaves and debris are a recurring issue in residential areas, particularly in tropical regions such as Malaysia leading to hygiene risks and increased manual maintenance effort. This paper presents the design and implementation of a solar-powered autonomous drain-cleaning robot for domestic applications. The system integrates a mobile robotic platform with a 4-DOF robotic arm, YOLOv8-based vision for real-time debris detection, and Internet of Things (IoT)-based remote monitoring. The robot is built on a Raspberry Pi 5 and incorporates VL53L0X time-of-flight (ToF) sensors, INA219 power sensors, NEO-6M GPS and a USB webcam. Detected debris triggers an …

Lifting Constraints: Venezuelan Oil And Global Market Adjustment, Niloofar Adel, Andrea A. Bastianin, Luca Pedini, Marta Visconti

Fondazione Eni Enrico Mattei Working Papers

We quantify the contribution of Venezuela’s oil sector collapse to changes in global oil market responsiveness after 2007. We extend the multi-country structural model of Baumeister and Hamilton (2024) by modeling Venezuela explicitly and constructing a counterfactual production path that abstracts from the 2007 institutional shift. This counterfactual isolates the mechanical contribution of Venezuelan supply and provides an upper bound on its impact. We document a sharp decline in global short-run supply elasticity and a more than doubling of the oil price multiplier after 2007. Decomposition results show that this increase is driven primarily by a reduction in the effective …

Employing Effective Solution Methods For Caputo-Based Sequential Fractional Models, Eman A. A. Ziada, Mohamed F. Abouelenein, Hijaz Ahmad, Monica Botros

Mathematical Modelling and Numerical Simulation with Applications

This paper investigates a class of nonlinear sequential singular fractional differential equations (FDEs) involving Caputo derivatives. This type of equation has several key advantages that enhance its value, such as capturing memory and hereditary effects. Viscoelastic materials and anomalous diffusion, as well as biological systems, can take advantage of this feature. In addition, fractional derivatives possess a sequential structure that enables the implementation of multiscale processes and hierarchical memory responses. Moreover, it provides an effective and flexible framework for solving differential equations compared to classical differential equations. It can therefore be used to model complex systems in physics, biology, and …

Optimal Control Strategies For Infectious Diseases: A Numerical Simulation Approach, M. Abu Salek, Jannatun Nayeem, Romana Yesmin, M. Haider Ali Biswas, M. Humayun Kabir

Mathematical Modelling and Numerical Simulation with Applications

Various infectious diseases, such as Tuberculosis and Hepatitis B virus (HBV), caused by Mycobacterium bacteria and hepatitis B virus, respectively, pose serious threats worldwide. This paper examines the spread of these diseases using a mathematical model that incorporates control measures, including vaccination and awareness programs. We use a system of differential equations with control variables and apply Pontryagin's principle to determine optimal control strategies. The stability of the Disease Free Equilibrium (DFE) has been analysed and demonstrated to be both locally and globally asymptotically stable when the basic reproduction number remains below unity, thereby ensuring disease elimination. Furthermore, the Endemic …

On The Scientific Stature Of Data Science: The Epistemological Unicorn, Ernest Fokoue

Articles

Data Science has ignited unprecedented academic, industrial, and pedagogical fervor, yet its status as a \textit{science} in the classical sense---comparable to physics or biology---remains profoundly unsettled. This article interrogates the epistemological foundations of Data Science by examining its hybrid theoretical lineage, from the Universal Approximation Theorem to the No-Free-Lunch Theorems, with special emphasis on the fundamental Bayesian optimality results for both regression and classification. We argue that Data Science is in a vigorous \textit{gestational period}, characterized not by an absence of principles but by a creative tension between empirical pragmatism and deep mathematical theory. The Cross-Validation score emerges as the …

Learning Ordinal Geometry: Semantic–Aware Kernels For Ordered Categorical Data, Ernest Fokoue

Articles

Ordinal data arise ubiquitously in survey research, psychology, medicine, economics, and recommender systems, yet kernel methods for such data typically rely on either nominal encodings or arbitrary numeric codings. The former discards order information; the lat- ter imposes a fictitious metric structure. This paper develops a principled framework for kernel design on ordinal scales and introduces a new class of Semantic–Aware Ordinal Ker- nels (SAOK) that simultaneously capture ordinal order and semantic proximity between categories. We begin by formalizing order–preserving embeddings of finite chains and characterizing a broad family of chain distances that are conditionally negative definite. Through Schoen- berg …

Saturated Hierarchical Atomic Incremental Learning (Shail): A Behavioral Learning Perspective On Staged Mastery And Saturation, Ernest Fokoue

Articles

We introduce Saturated Hierarchical Atomic Incremental Learning (sHAIL), a learning paradigm in which complex tasks are approached through a sequence of simpler atomic subtasks, each mastered to saturation before progression. The central mechanism is a saturation criterion that detects when learning dynamics enter a plateau region, triggering consolidation and subsequent ascent to a higher level of task complexity. We develop a theoretical framework for sHAIL and show that it naturally gives rise to \emph{staircased convergence}: alternating phases of rapid improvement and genuine plateau. Within each level, classical convergence guarantees apply under standard smoothness conditions, while the hierarchical transitions are driven …

No Intelligence Without Statistics: The Invisible Backbone Of Artificial Intelligence, Ernest Fokoue

Articles

The rapid ascent of artificial intelligence (AI) is often portrayed as a revolution born from computer science and engineering. This narrative, however, obscures a fundamental truth: the theoretical and methodological core of AI is, and has always been, statistical. This paper systematically argues that the field of statistics provides the indispensable foundation for machine learning and modern AI. We deconstruct AI into nine foundational pillars—Inference, Density Estimation, Sequential Learning, Generalization, Representation Learning, Interpretability, Causality, Optimization, and Unification—demonstrating that each is built upon century-old statistical principles. From the inferential frameworks of hypothesis testing and estimation that underpin model evaluation, to the …

On Fibonacci Ensembles: An Alternative Approach To Ensemble Learning Inspired By The Timeless Architecture Of The Golden Ratio, Ernest Fokoue

Articles

Nature rarely reveals her secrets bluntly, yet in the Fibonacci sequence she grants us a glimpse of her quiet architecture of growth, harmony, and recursive stability \citep{Koshy2001Fibonacci, Livio2002GoldenRatio}. From spiral galaxies to the unfolding of leaves, this humble sequence reflects a universal grammar of balance. In this work, we introduce \emph{Fibonacci Ensembles}, a mathematically principled yet philosophically inspired framework for ensemble learning that complements and extends classical aggregation schemes such as bagging, boosting, and random forests \citep{Breiman1996Bagging, Breiman2001RandomForests, Friedman2001GBM, Zhou2012Ensemble, HastieTibshiraniFriedman2009ESL}. Two intertwined formulations unfold: (1) the use of normalized Fibonacci weights -- tempered through orthogonalization and Rao--Blackwell optimization -- …

Organic Management Of Pillbugs And Sowbugs In Strawberries And Other Fruits, Briger Carey, Marion Murray, Emilie Demard, Jennifer R. Reeve

All Current Publications

Pillbugs and sowbugs are collectively known as isopods that typically feed on soil organic matter, but under certain conditions, they can be a pest of many young plants and berries. This fact sheet reviews identification, life cycle, damage, and organic management strategies for pillbugs and sowbugs.

Impeachment By Conviction With Crimes Of Dishonesty Or False Statement: The Automatic Admit Feature In Rule 609(A)(2), David Crump

St. Mary's Law Journal

No abstract provided.

Jonathan Difraia V. Kevin Ransom

2026 Decisions

USDC for the Middle District of Pennsylvania

Children’S Perspectives On Playfulness: A Child-Centred Qualitative Study, Risa Rylander, Stephanie Burns, Jocelyn Dautel

International Journal of Playwork Practice

This qualitative study examines children’s lived experiences of play and playfulness through interviews and creative methods with 10 children aged 8–11 in a Playwork setting. Thematic analysis identified three core themes: playfulness as an internal experience; the contextual nature of playfulness; and Playwork theory in practice. Children described play as joyful, immersive, and intrinsically motivated, shaped by factors such as comfort, outdoor access, social relationships, and autonomy. They valued adult support that preserved freedom. Findings challenge narrow definitions of playfulness, emphasizing calm, solitary, and open-ended play, with implications for designing responsive, child-centred play environments.

Mapping Clinical Competency Assessment: Comparing Taiwanese Dpt Tools To The U.S. Clinical Performance Instrument, Szu-Hua Teresa Chen, Che-Hsuan Lin, Kayleigh Plumeau, Yueh-Hsia Chen, Yen-Tzu Wu, Chia-Ling Chen, Chieh-Yu Yang

Journal of Medical Education

Background: To align Taiwan's physical therapy clinical education with international standards, this study aimed to: (1) map Taiwan's clinical assessment tools—the Ability-Based Professionalism Assessment (ABPA) and the Mini-Clinical Evaluation Exercise (Mini-CEX)—to the competency domains of the United States (U.S.) Clinical Performance Instrument (CPI) 3.0; (2) examine longitudinal changes in student clinical performance; and (3) explore whether developmental patterns correspond to competencies emphasized by the assessment framework.

Methods: This study integrated qualitative framework mapping and quantitative longitudinal analysis. Thirty-four fifth-year students enrolled in a six-year Doctor of Physical Therapy program at National Taiwan University who completed clinical internships during the 2022–2023 …

The Effects Of Interactive Instruction In Medical Education On Learners' Motivation, Technology Acceptance, And Learning Satisfaction, Bo-Yuan Lin

Journal of Medical Education

Purpose: Medical education is characterized by complex content and high cognitive demands, which often challenge learners. motivation and engagement. With advances in educational technology, interactive teaching approaches have gained increasing attention for their potential to enhance learning experiences. This study aimed to investigate the effects of integrating an Interactive Response System (IRS) into a medical education course on learners. learning motivation, technology acceptance, and learning satisfaction.

Methods: A single-group posttest design was employed. Participants were 23 healthcare professionals specializing in respiratory therapy who attended a professional training course on the clinical application of high-frequency ventilators. During the 50-minute instructional session, …

Taiwan Healthcare Professionals' Perception, Attitudes, And Experience About Balint Groups: A Two-Stage Pilot Study, Ing-Tiat Tiunn, Chung-Han Ho

Journal of Medical Education

Background: Balint groups have been widely implemented to support medical training in many countries. However, no empirical study has yet been conducted in Taiwan to evaluate their effectiveness.

Methods: An introductory presentation on Balint groups was held at a medical center in southern Taiwan, followed by a survey assessing attendees' perceptions and attitudes toward Balint work. Subsequently, a six-session Balint group was offered to healthcare professionals who volunteered to participate. All participants completed the 25-item Resilience Scale before and after the intervention. Thematic analysis was employed to analyze qualitative data.

Results: A total of 44 healthcare professionals attended …

Practice Readiness In Occupational Therapy Graduates From A Bachelor's Training Program: A Multi-Stakeholder Study In Taiwan, Kuan-Yi Li, Chi-Min Yang, Chi-Hsuan Chen, Rou-Shayn Chen, Hsiang-Han Huang

Journal of Medical Education

Introduction: The transition from academic education to clinical practice is a critical challenge for new occupational therapy (OT) graduates. While most Western countries have adopted master's or doctoral entry-level into the profession, bachelor's-level OT training remains the mainstream in Asia. This raises questions about whether such programs adequately prepare graduates for today's complex clinical environments. This study examined the preparedness of OT graduates under bachelor-level training by exploring the alignment between educational experiences and workplace expectations from the perspectives of multiple stakeholders.

Methods: A total of 547 respondents, including recent graduates, clinical educators, practicing occupational therapists, and heads of occupational …

The Impact Of Non-Technical Skills On Respiratory Therapists' Practice: A Single-Center Study At A Tertiary Hospital In Saudi Arabia, Mohamad A. Abdulsamad, Fadi A. Toonsi

Journal of Medical Rehabilitation Science

Background: Non-technical skills (NTS), including communication, teamwork, decision-making, and situational awareness, are increasingly recognized as essential for patient safety and effective healthcare delivery. Respiratory therapists (RTs) at King Faisal Specialist Hospital and Research Center (KFSH&RC) frequently face high-stakes clinical situations where NTS are critical, yet limited evidence exists regarding their integration into practice and training. This study evaluated the impact of NTS on RT practice, identified key skill gaps, and proposed recommendations for curriculum enhancement. Methods: A cross-sectional survey was conducted among 50 RTs with at least six months of experience at KFSH&RC in Jeddah city. Data were collected using …

Towards State Legislative Codification Of The Wpath Soc Guidelines, Suresh Hanubal

Duke Journal of Constitutional Law & Public Policy Sidebar

Transgender rights have increasingly come under assault in the United States. As of early 2026, twenty-seven states have passed either bans or restrictions on access to gender-affirming care. The issue has also become a central focus at the federal level. The U.S. Supreme Court decided United States v. Skrmetti, a case concerning the legality of state restrictions on gender-affirming care, in the 2024 – 2025 term. Moreover, the second Trump administration has been clear that rolling back transgender rights, including access to gender-affirming care, is a priority. In this political environment, where access to gender-affirming care in the United States …