Digital Commons Network^™

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

University Budget Office records

No abstract provided.

Taking Control Of Reproductive Health Information: Behind The Scenes With A Cataloging Librarian, Tanesa G. King

Library Scholarship

With the overturning of Roe v. Wade in June 2022, the author saw a need for an assessment of her institutional library’s collection of resources about reproductive and sexual health, especially on topics related to abortion and birth control. The author worked as a cataloging librarian in Texas at the time and anticipated that patrons would turn to the library for information about reproductive matters and thought a project concerning the reproductive and sexual health collection was vital for her library. Ensuring that the library catalog provided adequate subject access to the reproductive health resources that library users need, as …

Inter-Rater Reliability Of Glasgow Coma Scale At A Referral Care Facility In Uganda: Effect Of An Educational Intervention Among Health Workers, Peter Nyakuni, Betty Kinkuhaire, Diana Mbattude, Laura Brennaman

School of Nursing & Midwifery, East Africa

Background: The Glasgow Coma Scale is a widely used tool in the assessment and tracking of patients with acute head and brain insults. However, its reliability and application in low-resource clinical settings have been least explored.

Purpose: The study aimed at determining the IRR of GCS among health workers and evaluating the effect of a standardized GCS Aid as an educational intervention in improving the accuracy and IRR of the GCS when assessing patients with neurological deficits at a tertiary facility in Uganda.

Methods and Materials: The study employed a pre-test, post-test quasi-experimental design. Participants included health workers working within …

Executive Committee - Agenda, 09/30/2025, Academic Senate

Academic Senate Agendas

No abstract provided.

A Feature Engineering Technique For Enhancing The Generalization Of Machine Learning Models In Estimating Crop Evapotranspiration, Gaku Yokoyama, Sohta Harigai, Shigehiro Kubota, Koichi Nomura, Gregory R. Goldsmith, Daisuke Yasutake, Tomoyoshi Hirota, Masaharu Kitano

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Accurate and precise estimation of evapotranspiration (ET) is crucial for understanding the terrestrial carbon, water, and energy cycles. While process-based models of ET, such as the Penman–Monteith model offer robust generalization capabilities, they are limited by the need for detailed parameters (e.g., stomatal conductance,) that are challenging to measure continuously. On the other hand, machine learning models can estimate ET by capturing relationships between ET and environmental variables without experimentally measuring model parameters. However, machine learning models face the challenge of limited generalizability. This issue is particularly significant given the uncertainty introduced by changing climatic …

Fundamentals Of The New Neutrosophic Matrices, Adebisi Sunday Adesina, Ogunmuyiwa Sodiq Damilola

Neutrosophic Systems with Applications

The New Neutrosophic Matrices provides a mathematical extension of classical and fuzzy matrix theory that incorporates the element of indeterminacy alongside truth and falsity. Neutrosophic logic, pioneered by FlorentinSmarandache, provides a richer framework for dealing with uncertainty and vagueness in real-world data. This study explores the definitions, classifications, and algebraic operations onneutrosophic matrices, including addition, multiplication, scalar operations, and the formation of identities.A comparative analysis is presented to highlight the distinctions between classical, fuzzy, and neutrosophic matrices. From the concepts, potential applications could be proposed most especially, for more problem solving as well as for future exploration.Findingsaffirmthat neutrosophic matrices offer …

Assessing Community Engagement In The Standard Gauge Railway Project In Tanzania: A Case Study Of The Morogoro – Makutupora Segment, Chacha Timasi Nyakega, Oscar Whynijous Tefurukwa

BISNIS & BIROKRASI: Jurnal Ilmu Administrasi dan Organisasi

Governments play a critical role in engaging communities in decision-making processes directly affecting their daily lives. Such engagement influences the feasibility and success of project implementation. However, the degree of community engagement varies across different projects. This study examines community engagement and perceptions regarding the implementation of the Standard Gauge Railway (SGR) project in Tanzania, focusing on Lot II, the Morogoro to Makutupora segment. The theoretical framework proposed by Fung guided the analysis. A qualitative approach was employed, with a sample of 30 respondents. Data were collected through focus group discussions (FGDs) and analyzed using content analysis. Findings indicate that …

Characterisation And Prediction Of Wax Precipitation For Effective Mitigation Using Data Analytics, Alek Deng Cyer Rehan, Aliyu Adebayo Sulaimon

Platform: A Journal of Engineering

The precipitation of wax in crude oil pipelines poses a significant operational challenge for the petroleum industry. This study proposes a novel approach to characterising crude oil and predicting wax appearance temperature (WAT) using advanced data analytics techniques, including group method of data handling (GMDH), support verctor machines (SVM), extreme gradient boosting (XGBoost) and various regression models, as alternatives to conventional artificial neural networks (ANN). Crude oil was classified into four categories: heavy oil/biodegraded, paraffinic oil, waxy oil, and light oil/paraffinic condensate. A detailed characterisation framework based on the gamma distribution function (GDF) was employed to split lumped hydrocarbon fractions …

Compressibility Behavior On Stabilised Peat Soil: A Review, Khairun Najihah Kamarudin, Nurmunira Muhammad, Duraisamy Youventharan

Platform: A Journal of Engineering

Peat soil is problematic in geotechnical engineering due to its high compressibility, low shear strength, and low bearing capacity, making it prone to settling under loads. Effective soil treatment is essential, as traditional removal and replacement methods are unsustainable. This review evaluates the compressibility behaviour of peat stabilised with various stabilising agents, including the conventional and non-conventional additives. Soil stabilisation using chemical additives, including cement, lime, fly ash, gypsum, and recycled concrete aggregate (RCA), is widely applied. However, non-conventional additives alone are often less effective in stabilising peat. For example, peat treated with fly ash shows a behaviour similar to …

The Limits Of Snap In Addressing Older Adult Food Insecurity, Colleen M. Heflin, Madonna Harrington Meyer

Population Health Research Brief Series

The Supplemental Nutrition Assistance Program (SNAP) is designed to address the economic roots of food insecurity. However, SNAP participation rates among older adults substantially lag behind those of other age groups. Based on the book, Food for Thought: Understanding Older Adults Food Insecurity, this brief describes how SNAP is not well designed for older adults in three respects: (1) the high levels of administrative burden associated with eligibility, certification, and benefit-determination processes, (2) the low value of SNAP benefits compared with the high costs associated with redeeming them, and (3) the high levels of state variation in SNAP policies …

Stabilized Weak-Gradient Discontinuous Finite Elements With Optimal Error Estimates For Second-Order Elliptic Pdes, Aymen Laadhari

Mathematical Modelling and Numerical Simulation with Applications

This work introduces an accurate finite element approach employing a new stabilized discrete weak gradient, designed for second-order elliptic problems on arbitrary conforming meshes. We formulate the approach within a discontinuous Galerkin framework and derive a consistent and coercive bilinear form. Appropriate error analysis on a model problem confirms optimal convergence. Building on the core analysis, we extend the method to more challenging settings, including time-dependent heterogeneous scenarios and a biophysically realistic optimal-control model of photobleaching in the budding yeast cell. We further illustrate the versatility of the weak-gradient construction by applying it to an unsteady level-set equation relevant to …

High-Order Adaptive Solutions For Coupled Fractional Riccati Equations Via Daubechies Redundant Frames, Mutaz Mohammad, Alexander Trounev

Mathematical Modelling and Numerical Simulation with Applications

Coupled fractional Riccati equations play a fundamental role in modeling complex systems with memory effects and anomalous diffusion, frequently arising in engineering, control theory, finance, and quantum mechanics. Their analytical and numerical treatment remains highly challenging due to the nonlocal nature of fractional-order derivatives and the presence of nonlinear coupling terms. This study introduces an adaptive numerical framework that combines the Caputo fractional derivative with redundant Daubechies wavelet frames. The method leverages multi-resolution analysis, compact support, and controlled redundancy to achieve accurate approximation of both localized and global solution features, particularly in scenarios characterized by singular behavior and long-range memory …

Near Real-Time Monitoring Reveals Extensive Recent Forest Disturbance In Ghana’S Protected Areas, Luofan Dong, Xiaojing Tang, Foster Mensah, Bashara Ahmed Abubakari, Kelsee H. Bratley, Pontus Olofsson, Curtis E. Woodcock

Faculty Scholarship

The Protected Areas (PAs) in Ghana play a critical role in preserving the abundant biodiversity of the West Africa Green Belt. But recent changes in policies and regulations have facilitated logging and mining activities, which have accelerated forest disturbances. While there is a consensus that PAs are undergoing destructive change, the extent, rate, and locations of forest disturbances are undocumented. In this study, we applied the fusion near real-time (FNRT) algorithm that utilizes Landsat, Sentinel-1, and Sentinel-2 data and sampling to monitor forests in the PAs of Ghana. The results reveal that 704.74 (±177.24) km2 of forest in the PAs …

Cold-Shock Protein Scaffold For Engineering Non-Antibody Binding Proteins, Jack Mathew Webster

USF Patents

Disclosed herein are compositions and methods directed to non-antibody protein scaffolds derived from cold-shock proteins.

Understanding Of Internalizing And Externalizing Behaviors Among Youth Who Are Racial Minorities: Identification Of Race-Specific Violence Protective Factors, Caleb Kim, Rana Hong, Hien Nguyen, Raheleh A. Fakhrabadi

Social Work: School of Social Work Faculty Publications and Other Works

This study examined how ecosystemic factors—gender, exposure to community violence, attachment to parents, children’s hope, commitment to school, and concern about community safety—affect internalizing and externalizing behaviors among African American, Latinx, and Asian American youth (N = 212) in Chicago. Additionally, this study tested whether CH served as a moderating factor in the relationship between concern about CCS and internalizing and externalizing behaviors among youth who are racial minorities. Hierarchical multivariate regression analyses found that the effects of ecosystemic factors varied depending on the youth’s racial contexts. The moderating effects of CH were found to reduce internalizing and externalizing behaviors …

Life-Moms: Effects Of Multicomponent Lifestyle Randomized Control Trial On Physical Activity During Pregnancy In Women With Overweight And Obesity, Hannah E Cabre, Debra Haire-Joshu, Alison G Cahill, Samuel Klein, Et Al.

2020-Current year OA Pubs

BACKGROUND: This report details the effect of LIFE-Mom's multicomponent lifestyle interventions on physical activity (PA) and inactivity time across pregnancy (2nd and 3rd trimesters) and their effect on gestational weight gain (GWG) and maternal/neonatal outcomes, a pre-specified secondary analysis.

METHODS: Pregnant people with BMI ≥ 25 kg/m

RESULTS: Although there were statistically significant differences in vigorous activity between the intervention and control group (p = .024), there were no clinically meaningful differences in PA. In the combined sample, moderate to vigorous PA (MVPA) significantly decreased across pregnancy (mean ± SD: 72.9 ± 29.1 min/day vs 63.9 ± 28.1 min/day; p …

Improving Data-Driven Gated (Ddg) Pet And Ct Registration In Thoracic Lesions: A Comparison Of Ai Registration And Ddg Ct, Tinsu Pan, M Allan Thomas, Yang Lu, Dershan Luo

2020-Current year OA Pubs

PURPOSE: Misregistration between CT and PET can result in mis-localization and inaccurate quantification of the tracer uptake in PET. Data-driven gated (DDG) CT can correct registration and quantification but requires a radiation dose of 1.3 mSv and 1 min of acquisition time. AI registration (AIR) does not require an additional CT and has been validated to improve registration and reduce the 'banana' misregistration artifacts around the diaphragm. We aimed to compare a validated AIR and DDG CT in registration and quantification of avid thoracic lesions misregistered in DDG PET scans.

METHODS: Thirty PET/CT patient data (23 with

RESULTS: DDG CT …

Multi-Decadal Gravel Beach Dynamics In The United Kingdom And Ireland: Insights From Satellite-Derived Shorelines, Aikaterini Konstantinou, Tim Scott, Gerd Masselink, Christopher Stokes, Tom Hamilton, Bruno Castelle

School of Biological and Marine Sciences

Gravel beach systems provide vital protection from coastal flooding and erosion. They are highly dynamic and exhibit complex responses to hydrodynamic forcing over a range of temporal (hourly centennial) and spatial scales (m to km). Yet gravel beach evolution, particularly at interannual to decadal scales, across the spectrum of coastal settings, remains poorly understood. We use four decades of Satellite-Derived Shoreline (SDS) data to explore the morphodynamic behaviour of 45 selected gravel beach systems around the United Kingdom and Ireland. We apply a site-specific SDS extraction methodology and derive shoreline trends along 1554 shore-normal transects. Our findings indicate significant variability …

Statice Cut Flower Production In Utah, Kellie Webb, Melanie Stock, Benjamin Scow, Cheyenne Reid, Victoria Xiong, Ali Harrison, Lorin Harrison, Amanda Pratt, Claudia Nischwitz, Nick Volesky

All Current Publications

Statice is a cut-and-come-again, full-sun annual with clustered, papery blooms. Plants have lower water needs and a moderate tolerance to salinity, making this crop a sustainable choice for cut flower production in Utah and other states with water and soil limitations. This fact sheet provides information on statice cultivars, site preparation, germination, transplanting and spacing, trellising, nutrient management, harvest, economics for producers, and pest and disease management.

Multispectral Image Analysis Using Deep Neural Networks, Arun D. Kulkarni

Computer Science Faculty Publications and Presentations

Multispectral image classification plays a crucial role in remote sensing applications such as land cover mapping, agricultural monitoring, and environmental surveillance. Traditional classification techniques, including the Maximum Likelihood Classifier (MLC), Support Vector Machine (SVM), Decision Tree (DT), and Multi-Layer Perceptron (MLP), often struggle with the complexity and high dimensionality of multispectral data. Recent advances in deep learning have revolutionized the field of remote sensing by enabling the extraction of high-level, abstract features from raw input data. In this paper, we explore the application of Deep Neural Networks (DNNs) for pixel-wise classification in multispectral imagery. DNNs are capable of learning informative …

Quality Improvement Project Improve Staff Knowledge On Spravato For Treatment Resistant Depression, Cynthia Barraza Guerra

Doctor of Nursing Practice Projects

Treatment-resistant depression (TRD), defined as major depressive disorder unresponsive to at least two adequate antidepressant trials, is linked to higher morbidity, diminished quality of life, and increased healthcare utilization. Spravato (intranasal esketamine), approved by the U.S. Food and Drug Administration, provides a novel mechanism of action through N-methyl-D-aspartate (NMDA) receptor modulation but requires strict safety oversight due to risks including dissociation and hypertension. This Doctor of Nursing Practice (DNP) quality improvement (QI) project evaluated whether a targeted educational intervention improved staff knowledge and confidence in Spravato safety protocols. Guided by Lewin’s Change Theory, Bandura’s Social Learning Theory, and implemented with …

Quality Improvement Project High-Quality Simulation Training For High-Quality Nurse Educators, Cherrelle Hawkins

Doctor of Nursing Practice Projects

The Associate of Applied Science in Nursing (AASN) faculty use simulation as a teaching modality to assist nursing students in preparing for their clinical experiences by transitioning knowledge into practice. To successfully facilitate simulations, faculty must possess knowledge and competence in facilitating simulation sessions. Faculty at the practice site lacked these characteristics due to the nonexistence of a simulation training program. This quasi-experimental quality improvement project aimed to implement formal simulation training for faculty to influence self-perceived knowledge and competence in facilitation constructed by the Adult Learning Theory and the Awareness-Desire-Knowledge-Ability-Reinforcement (ADKAR) Change Model. The PI evaluated knowledge and competence …

Quality Improvement Project Impacting Provider Self-Efficacy And Use Of Cbt For Depression Treatment, Tony Orafunam

Doctor of Nursing Practice Projects

This Doctor of Nursing Practice (DNP) quality improvement project was conducted at a mid-sized outpatient psychiatric clinic in Hempstead, New York, focusing on strengthening providers’ self-efficacy in delivering Cognitive Behavioral Therapy (CBT) to young adults (aged 19–35) diagnosed with Major Depressive Disorder (MDD). Rather than targeting MDD directly, the initiative aimed to impact provider self-efficacy and skill in CBT to improve access to evidence-based treatment and reduce the need for external referrals. Employing Bandura’s Social Cognitive Theory and the ADKAR change model, the project used a quasi- experimental, one-group pre-test/post-test design. Six advanced practice providers participated in a structured, interactive …

08. Kinetic Theory Ii, Gerhard Müller

Equilibrium Statistical Physics

Part eight of course materials for Statistical Physics I: PHY525, taught by Gerhard Müller at the University of Rhode Island. Documents will be updated periodically as more entries become presentable.

Updated with version 2 on 1/8/2026.

The Impact Of The Guided Discovery Method Combined With Sequential Learning On Selected Artistic Gymnastics Skills Among University Students, Ali Shakir Neamah

Modern Sport

This study aims to examine the impact of employing the guided discovery method as the primary approach in teaching certain gymnastics skills, with the sequential method serving as a supportive tool to organize and structure the learning stages. which emphasized the combination of both methods so as to achieve both cognitive and motor objectives for the students. The importance of the current article lies on the emphasizing the duty of guided discovery to develop students’ analytical skills and thinking and motivate the learners to participate actively in the process of learning. Moreover, it contributes to develop motor skill through the …

Design And Standardization Of A Test To Measure Arm Motor Speed Using A Bulgarian Bag ‘Among 18–20 Years Old’ Weighing Between 65 And 86 Kg, Jalal Abdul Zahra Kanaan

Modern Sport

The importance of this research lies in understanding the reality of arm kinetic velocity and how to develop it for the better by measuring it and determining its level during the training period. This is achieved by establishing criteria and levels that help coaches and players determine its true level. The research problem was: Kinetic velocity is an important physical requirement in wrestling, especially for the arms, in performing quick and varied movements that help the wrestler perform the required grip on the opponent. This enables the desired accomplishment to be achieved after being tested and measured using a scientific …

Neuromuscular And Electromyographic Responses To Tailored Plyometric Training In Elite Heavyweight Wrestlers, Ghazwan Kareem Khothier

Modern Sport

This study aimed to examine the impact of a specialized plyometric training program on neuromuscular and EMG responses in elite heavyweight wrestlers. The focus was on exploring changes in muscle activation patterns, contraction velocity, and motor latencies following a tailored training protocol. A quasi-experimental design was used, with 12 elite heavyweight male wrestlers. Electromyographic data were collected from the vastus lateralis, biceps femoris, and gastrocnemius muscles. Maximum voluntary contraction (MVC) and contraction velocity were assessed using an isokinetic dynamometer. A plyometric training program was conducted three times per week for six weeks, including exercises such as depth jumps, hurdle hops, …

The Effect Of Using An Educational Package On Cognitive Achievement And The Basketball Lay-Up Shooting Skill Performance Among Female Students, Rana Abdul Majeed Alwan, Humam Basim Mohammed

Modern Sport

The study demonstrated a statistically significant positive impact of the educational package on improving cognitive achievement and organizing content in a systematic manner. Its use also led to an improvement in skill performance for basketball free throws, particularly within the experimental group. The modern method outperformed the traditional one, although both contributed to learning. Furthermore, the package contrib The study aimed to I dentify the effect of using an educational package on the academic achievement of female students at the College of Education for Pure Sciences, University of Baghdad. The researcher adopted the experimental method, as it is suitable for …

The Effect Of Competitive Group Exercises On Improving Offensive Skill Speed In Basketball For 12–14 Year Olds, Zuhair Salem Abdul Razzaq

Modern Sport

Basketball is characterized by great speed, especially physical speed and speed of skill performance, as they play an important role in achieving sporting performances. Therefore, their importance has become apparent through interest in developing them according to specialized group exercises and a competitive atmosphere that helps them to adapt to the playing atmosphere for age groups of 12–14 years and building a correct Basketball base in the future. The research problem was: Skill and physical performance speed are not at the desired level as they progress through the training stages, including for youth and advanced players. Therefore, paying attention to …

The Effect Of Neuromuscular Training On Motor Response Speed In Tennis, Abdullah Adnan Mohamed

Modern Sport

The integration of modern training techniques and methods—such as neuromuscular training, was identified as an advanced trends in sports science. This approach aimed to enhance the efficiency of both the nervous and muscular systems simultaneously through exercises that strengthened the connection between the brain and muscles, leading to improvements in the speed and accuracy of motor performance. This study examined the effect of neuromuscular training on the speed of motor response among tennis players, a sport that required rapid reaction and precise execution. The researcher noted a lack of Arabic studies that investigated the effect of such training on motor …