Digital Commons Network^™

Biphasic Sleep Is A Feature Of Sleep Disturbance In Syngap1-Rd, Aida Doucoure, Het Patel, Mark A Abboud, Alice Sperry, Sarah K Wanigatunga, Deana Crocetti, Heather Volk, Adam P Spira, Stewart H Mostofsky, Vaishnav Krishnan, Constance Smith-Hicks

Faculty, Staff and Students Publications

Study objectives: Sleep problems are common in children with SYNGAP1-Related Disorder (SYNGAP1-RD). The use of devices that objectively estimate sleep are complicated by co-occurring sensory disorders in this population. We examined the feasibility and validity of wrist actigraphy to examine sleep and rest-activity rhythms (RAR).

Methods: Data from five children with SYNGAP1-RD and 42 typically developing children were analyzed. All children were asked to wear the Actiwatch-2 for 14 continuous days and caregivers were asked to complete a sleep diary and the Children Sleep Health Questionnaire (CSHQ). Parametric (alpha, beta, acrophase, amplitude, up/down mesor, mesor), nonparametric (intradaily variability, interdaily stability, …

Detection And Diagnostic Screening Of Breast Cancer: A Systematic Review And Future Frontiers, Lama Yassine, Amira J. Zaylaa

BAU Journal - Science and Technology

A comprehensive evaluation of current and novel diagnostic techniques is necessary since the diagnosis of breast cancer is essential for improving treatment efficacy and raising long-term survival. Evidence from conventional imaging methods including mammography, ultrasonography, and magnetic resonance imaging is combined in this systematic review with advancements in liquid biopsies and current AI-based diagnostic tools. Using specific keywords related to breast cancer, early detection, imaging, biomarkers, and artificial intelligence, a thorough search was conducted in PubMed, Scopus, Web of Science, and IEEE Xplore. Reviews, case reports, and studies unrelated to breast cancer were excluded; only clinical, experimental, and computational research …

Global Trends And Research Landscape Of Metformin And Artificial Intelligence: Bibliometric Analysis, Raya Doraid Mohammed, Alaa Qasim Hayder, Hamza A. Saadallah, Ali Q Saeed, Alice Louis Yousif, Safa M Salim, Noor Mahmood Sultan, Mohammed Ahb. Al-Krdoshi

Al-Esraa University College Journal for Medical Sciences

This bibliometric study examines global research trends and key thematic areas in Artificial Intelligence (AI) applications related to Metformin, especially in diabetes treatment. A total of 227 articles were retrieved from the Science Citation Index Expanded (Web of Science Core Collection) from 2020 to 2024. VOSviewer and CiteSpace were used to analyze publications by year, country, institution, journal, citation impact, and keyword co-occurrence. The United States, Canada, and South Korea contributed over 85% of the output, with leading institutions including the University of California, Los Angeles. Keyword mapping identified ``machine learning,'' ``Metformin,'' and ``Type 2 Diabetes'' as the most influential …

A Mathematical Model For Managing Diphtheria Outbreaks In Nigeria Via Vaccination, Enhanced Surveillance, Effective Quarantine, And Social Distancing Measures, Hycienth Ortser Orapine, Nyiutya Cephas Ine, Dekera Jacob Washachi, Ali Audu Baidu, Lubem Matthew Kwaghkor

Mathematical Modelling and Numerical Simulation with Applications

Diphtheria is a highly infectious respiratory and skin disease that poses a significant threat to global public health. In Nigeria, children and adults with low immunity remain at high risk due to recurring annual outbreaks in the last decade, with a death rate of as high as 68.8\%. This paper presents a deterministic compartmental model to evaluate the effectiveness of interventions implemented by the Nigerian government. The model's mathematical and epidemiological validity is established through proofs of non-negativity and boundedness. The basic reproduction number ($R_0$) is derived, and stability analysis confirms that the diphtheria-free equilibrium is locally and globally asymptotically …

Tumor-Immune Dynamics With Memory And Time Delay: A Fractional-Order Model With Ctla-4 Regulation, Mutaz Mohammad, Mohyeedden Sweidan, Alexander Trounev, Fathalla Rihan

All Works

This study develops a fractional-order tumor-immune interaction model incorporating Caputo memory effects, delayed immune activation, and CTLA-4 checkpoint regulation. The model describes the coupled dynamics of tumor cells, CD4^+ T cells, IFN-γ, and CTLA-4, and extends classical integer-order tumor-immune models by accounting for hereditary immune responses and biologically motivated latency effects. Theoretical properties, including positivity, boundedness, equilibrium structure, and fractional-order stability, are examined to establish the biological and mathematical consistency of the model. The delayed fractional system is then investigated computationally by comparing several numerical methods, including finite difference discretization, Daubechies wavelet collocation, Euler wavelet collocation, and a predictor-corrector scheme. …

Lymphovascular Invasion (Lvi) In Ovarian Epithelial Cancer: A Determinant Of Figo 2014 Stage, Intan Septia. J, Aswiyanti Asri, Puja Agung Antonius, Shinta Ayu Intan, Almurdi Almurdi

Folia Medica Indonesiana

Ovarian epithelial cancer is an ovarian malignancy with the highest mortality rate in gynecologic oncology. Its incidence increases after the age of 50 and is associated with various risk factors. Carcinogenesis is driven by factors such as incessant ovulation, gonadotropin stimulation, and postmenopausal hormonal fluctuations. These factors cause DNA damage in ovarian epithelial cells through specific molecular pathways, resulting in diverse histopathological types and subtypes. Furthermore, the disease's progression and staging are significantly impacted by its pathways of spread via blood vessels and lymphatics known as LVI (Lymphovascular Invasion). This study employed a comparative observational analytical design with a cross-sectional …

The Pivotal Role Of Artificial Intelligence In Optimizing Pharmaceutical Formulation And Delivery, Ali Khidher Abbas, Mustafa M. Noori, Ibtihal Abdulkadhim Dakhil, Mohammed Hussain Al-Mayahy

Al-Esraa University College Journal for Medical Sciences

Artificial intelligence (AI) has emerged as a transformative technological paradigm within the pharmaceutical sciences, offering innovative and forward-looking solutions to surmount the inherent limitations associated with conventional drug development, formulation design, and therapeutic delivery systems. Traditional pharmaceutical methodologies frequently entail protracted development timelines, extensive experimental procedures, and substantial financial expenditures, particularly within the domains of formulation optimization and drug delivery design. The integration of AI-driven technologies – encompassing machine learning (ML), deep learning (DL), artificial neural networks (ANNs), and predictive analytics – has considerably accelerated pharmaceutical research by refining decision-making processes, alleviating experimental burden, and enhancing formulation efficiency. The present …

Us Race/Ethnic Disparities In Diabetes Technologies: A Systematic Review And Meta-Analysis Of 950 000 Individuals, Maria L. M. Rego, Maxim Barnett, Maria Helena Siqueira Tavares De Melo, Ana Rivadeneira

Einstein Health Papers

PURPOSE: To provide a descriptive summary and to quantitatively examine racial and ethnic disparities in the use of continuous glucose monitoring (CGM) and continuous subcutaneous insulin infusion (CSII) among people living with diabetes in the United States.

RESEARCH DESIGN AND METHODS: We followed the Cochrane and PRISMA guidelines (PROSPERO: CRD420251124678). Search was conducted on PubMed, Embase, and Cochrane up to August 2025. Observational studies were included if they (1) were conducted in the United States, (2) evaluated the use of CGM/CSII across different races/ethnic groups, and (3) reported odds ratios (ORs) for between-group comparisons. Three-level random-effect meta-analyses examined OR in …

Tumor–Immune Dynamics With Memory And Time Delay: A Fractional-Order Model With Ctla-4 Regulation, Mutaz Mohammad, Mohyeedden Sweidan, Alexander Trounev, Fathalla Rihan

Mathematical Modelling and Numerical Simulation with Applications

This study develops a fractional-order tumor-immune interaction model incorporating Caputo memory effects, delayed immune activation, and CTLA-4 checkpoint regulation. The model describes the coupled dynamics of tumor cells, CD4$^{+}$ T cells, IFN-$\gamma$, and CTLA-4, and extends classical integer-order tumor-immune models by accounting for hereditary immune responses and biologically motivated latency effects. Theoretical properties, including positivity, boundedness, equilibrium structure, and fractional-order stability, are examined to establish the biological and mathematical consistency of the model. The delayed fractional system is then investigated computationally by comparing several numerical methods, including finite difference discretization, Daubechies wavelet collocation, Euler wavelet collocation, and a predictor-corrector scheme. …

Stochastic Analysis Of Epidemic Size And Peak Infection In An Svir Model With Imperfect Vaccine And External Source Of Infection, María Gamboa Pérez

Mathematical Modelling and Numerical Simulation with Applications

The dynamics of an infectious disease outbreak are studied under a stochastic framework in a closed population where individuals are homogeneously mixed. A vaccination program is implemented in the community prior to the start of the epidemic. The administered vaccine is imperfect, meaning that vaccinated individuals may still become infected upon contact with infected individuals. The mathematical Susceptible-Vaccinated-Infected-Recovered (SVIR) model describing the evolution of the epidemic is formulated as an absorbing, continuous-time, three-dimensional Markov chain with compartments for vaccinated, susceptible, infected and recovered individuals. The aim of this study is to characterize two fundamental epidemiological quantities: the maximum number of …

Modeling Framework To Demonstrate Elimination Of A Vector Population: Tsetse Elimination In Chad, John Hargrove, Mahamat Hissene Mahamat, Moukhtar Aldjibert, Wilfrid Yoni, Djoukzoumka Signaboubo, Justin Darnas, Ernest Salou, Inaki Tirados, Albert Mugenyi, Priscille Barreaux, Philippe Solano, Antoine Marc Gaby Barreaux

All Peer-Reviewed Publications

Every year, over 700,000 people, particularly children under five, die from vector-borne diseases worldwide. Effectively controlling endemics and preventing new outbreaks requires an integrated approach that can lead to the elimination of both vectors and diseases. In the last two decades, integrating medical interventions and vector control has significantly reduced the incidence of Gambian Human African Trypanosomiasis (g-HAT), with the World Health Organization validating eight countries as having eliminated the disease as a public health problem. However, elimination of the tsetse vector has not been confirmed, leaving the possibility of re-emergence. We developed a six-step modeling framework to assess vector …

Microelement Deficiencies In Perimenopausal Women And Their Impact On Metabolic And Physical Performance: Potential Applications Of Vis–Nir Tissue Spectrophotometry And The So/Check Platform, Izabela Pabin, Damian M. Dudek, Łukasz Jaworski, Ewa Maria Kłodzińska

Baltic Journal of Health and Physical Activity

Background: The perimenopausal period, typically occurring between the ages of 40 and 55 years, represents a critical transitional stage in women’s physiology characterized by profound hormonal, metabolic, and systemic adaptations. While the endocrine aspects of this transition have been extensively investigated, increasing attention has recently been directed toward the role of micronutrient homeostasis in maintaining metabolic health and physical performance during this period. Therefore, the aim of this narrative review is to summarize current knowledge regarding microelement deficiencies in perimenopausal women and their potential impact on metabolic health and physical performance. Additionally, the review discusses the potential applications of VIS–NIR …

Forecasting Covid-19 New Cases Using Nbeats Deep Learning And Mobility Data, Amril Nazir, Mohammad Shorfuzzaman, Muhammad Lujaini Lotfi, Firuz Kamalov, Sufian Badawi, Maen Takruri, Abdul Halim Jallad

All Works

COVID-19 is a highly contagious disease transmitted primarily through human contact. Therefore, understanding population mobility is essential for predicting COVID-19 case trends. In this paper, we propose a novel deep learning approach for forecasting new COVID-19 cases using a neural architecture called Neural Basis Expansion Analysis for Interpretable Time Series (N-BEATS). The N-BEATS model effectively handles long input sequences and large output horizons without information loss or increased computational complexity. We compare the performance of N-BEATS with a state-of-the-art benchmark model, LSTM-Markov, across four major countries: the United States, the United Kingdom, Russia, and Brazil. Three distinct COVID-19 datasets from …

Teachers’ Awareness Of Family Engagement In Multilingual Education, Sedighe Zamani Roodsari

Journal of Multicultural Affairs

This study investigated public school teachers’ awareness of family engagement as a linguistic and cultural resource for multilingual students. Multilinguals are typically described as individuals who can communicate in more than one language, with English not being their native language, and their linguistic choices are influenced by societal norms and systems (Šifrar Kalan et al., 2024; Wei, 2008). Preparing pre-service teachers to enhance opportunities for multilingual students remains a critical need in teacher education programs, as they strive to move beyond monolingual ideologies in their teaching practices (Cárdenas Curiel et al., 2024; Kim & Choi, 2020; Williams & Ewing, 2019). …

Multi-Modal Survival Prediction On Breast Cancer Mammograms And Enabling Multi-Institutional Collaborations With Federated Learning, Nikolas Koutsoubis

USF Tampa Graduate Theses and Dissertations

Cancer remains one of the leading causes of mortality worldwide, and machine learning is well positioned to leverage the large volumes of routinely collected clinical and imaging data to improve patient outcomes. Realizing this potential at scale requires three capabilities that current practice does not yet deliver in combination: models that integrate the multiple data modalities clinicians use, training procedures that respect institutional data-sharing constraints, and tooling that enables sharing of de-identified data when federated approaches are not sufficient. This dissertation develops methods and infrastructure addressing each of these capabilities in the context of breast cancer and oncology more broadly. …

Instructions To Authors, Academy Editors

Journal of the Arkansas Academy of Science

No abstract provided.

Journal Acknowledgements And Editorial Board, Academy Editors

Journal of the Arkansas Academy of Science

No abstract provided.

Keynote Address And Meeting Program, Academy Editors

Journal of the Arkansas Academy of Science

No abstract provided.

Business Meeting Report (Secretary's And Treasurer's Report), Academy Editors

Journal of the Arkansas Academy of Science

No abstract provided.

Artificial Food Colors Are Not Needed To Attract Ruby-Throated Hummingbirds (Archilochus Colubris) To Feeders, A. Siddiqui, R. Kannan

Journal of the Arkansas Academy of Science

No abstract provided.

Sperm Morphology In The Eastern Narrow-Mouthed Frog, Gastrophryne Carolinensis (Anura: Microhylidae), S. E. Trauth

Journal of the Arkansas Academy of Science

Studies by Scheltinga et al. (2002) and Scheltinga and Jamieson (2003) provide the most comprehensive analysis and only review of sperm morphology in Narrow-Mouthed Frogs (family Microhylidae). Of the 490+ species known to occur in this anuran family (Vitt and Caldwell 2014), only 3 are distributed in the United States (Powell et al. 2016), and 2 of these occur in Arkansas (Trauth et al. 2004). Surprisingly, sperm studies on only 12 microhylid species have been conducted (Scheltinga and Jamieson 2003), and no sperm studies are available on any North American species.

Multiple Nuclear Configurations And Microtubular Arrangements In Spermatozoa Of The Western Siren, Siren Nettingi (Caudata: Sirenidae), S. E. Trauth

Journal of the Arkansas Academy of Science

I examined the ultrastructure of spermatozoa of the Western Siren, Siren nettingi, using transmission electron microscopy. My primary objective in this study was to elucidate, for the first time, the unique morphological complexity of biflagellated sperm in this species. This study also represents my fifth addition in a series of investigations that highlight the novel nature of all aspects of spermatogenesis in this salamander I show the basic sperm transverse and sagittal design which includes a nucleus, 2 axial fibers supporting 2 undulating membranes which have 2 axonemes residing at their terminal ends, several circular mitochondria, and several electron-dense masses. …

Binucleation And Seasonal Cycle Of Sertoli Cells In The Western Lesser Siren, Siren Nettingi (Caudata: Sirenidae), S. E. Trauth

Journal of the Arkansas Academy of Science

I examined binucleation and the seasonal cycle of Sertoli cells in the Western Siren (Siren nettingi) using light microscopy and transmission electron microscopy. My primary objective in this study was to report, for the first time, the presence of double nuclei in Sertoli cells in a salamander. This study also represents the sixth contribution in a series of investigations that highlight the novel nature of all aspects of spermatogenesis in this unique salamander. My findings add to a growing list of extraordinary morphological and reproductive features that distinguish this salamander from all other vertebrates.

Distal Urogenital Anatomy And Epithelial Morphology In The Male Eastern Narrow-Mouthed Frog, Gastrophryne Carolinensis (Anura: Microhylidae), S. E. Trauth

Journal of the Arkansas Academy of Science

I investigated the microanatomy of the distal urogenital system in male Eastern Narrow-Mouthed Frogs (Gastrophryne carolinensis) from a small sample (n = 5) collected in central Arkansas in April, May, and July (2021) and May 2022. Specifically, my primary goals were to elucidate the histology of the following: (1) the paired Wolffian (urogenital) ducts caudally from the kidneys to their merging with the urodeum of the cloaca, (2) the structure of seminal vesicles, and (3) the epithelial morphologies among the distal urogenital tract, the posterior alimentary canal, and the cloaca. My histological analysis confirmed the presence of …

Academy Presidents And Institutional Members, Academy Editors

Journal of the Arkansas Academy of Science

No abstract provided.

Table Of Contents, Academy Editors

Journal of the Arkansas Academy of Science

No abstract provided.

Journal Of The Arkansas Academy Of Science Volume 79, Academy Editors

Journal of the Arkansas Academy of Science

No abstract provided.

Exploring The Determinants Of Operating Room Utilization: A Scoping Review Of Influential Factors In Surgical Efficiency, Isma Sari Chumairah, Masyitoh Basabih

Jurnal ARSI : Administrasi Rumah Sakit Indonesia

Optimal utilization of the operating room (OR) is a crucial element in improving the efficiency of surgical services and hospital performance. This scoping review aimed to identify and map the factors influencing OR utilization based on recent scientific literature. We conducted a scoping review using the Population–Concept–Context (PCC) framework and reported it according to the PRISMA-ScR guidelines. We systematically searched PubMed, Scopus, and ScienceDirect for articles published between 2015 and 2025. Eligible studies were screened, and information on study characteristics and reported determinants of OR utilization was extracted and summarized descriptively. Forty studies were included. The reported determinants clustered into …

Influence Of Peak Height Velocity On The Level Of Motor Skills And Anthropometric Features In Young Male Footballers, Dariusz Tadeusz Skalski, Magdalena Prończuk, Artur Terbalyan, Kinga Łosińska, Adam Maszczyk, Robert Krzysztof Roczniok

Baltic Journal of Health and Physical Activity

Background: This study examines the influence of Peak Height Velocity (PHV) on motor abilities and anthropometric characteristics of young male football players aged 12–16. The research aimed to determine whether PHV significantly affects motor performance beyond the chronological age, providing insights for talent identification and training optimization. Materials and methods: A total of 248 male football players from four professional academies were assessed and categorized into three maturation groups: Pre-PHV (n = 95, 38.3%), Mid-PHV (n = 98, 39.5%), and Post-PHV (n = 55, 22.2%) Anthropometric measurements included height, body mass, BMI, and leg length, while motor tests …

Where Evidence-Based Medicine Meets Ai: Promise, Pitfalls, And Practice, Sangil Lee, Joshua Davis, Ken Milne, Christina Shenvi, Lars K. Beattie, Martin Wegman, Laura Melville, Richard D. Shih, Bryan Kane

Department of Emergency Medicine Faculty Papers

No abstract provided.