Digital Commons Network^™

In Silico Evaluation Of The Role Of Pea3 Subfamily Ets Transcription Factors In Chemoresistance In Ovarian Cancer, Fevzi̇ Coşkun Sökmen, Lai̇ka Kardana, Hi̇kmet Yilmaz, Ahmet Çağlar Özketen, Aynur Karadağ Gürel, Özge Atay, Hasan Hüseyi̇n Kazan

Turkish Journal of Medical Sciences

Background/aim: The E26 transformation-specific family of transcription factors regulates the cell cycle and apoptosis that are crucial for carcinogenesis. More specifically, the PEA3 subfamily—comprising ETS variant (ETV) transcription factors ETV1, ETV4, and ETV5—has been implicated in multiple oncogenic signaling pathways and chemotherapy resistance. While cisplatin is still a widely used chemotherapeutic treatment for ovarian cancer, its therapeutic efficacy is sometimes limited by the induction of resistance mechanisms. The present study investigates the potential role of PEA3 subfamily genes in cisplatin resistance in ovarian cancer through comprehensive in silico analyses.

Materials and methods: Cisplatin response data for ovarian cancer were obtained …

Letter To The Editor: Telemedicine Versus Conventional Care For Nonspecific Neck Pain: A Randomized Controlled Study, Gülsemi̇n Ertürk Çeli̇k

Turkish Journal of Medical Sciences

No abstract provided.

Pinnlab: An Interactive Dashboard For Teaching Data-Driven Parameter Estimation In Differential Equations Using Physics-Informed Neural Networks, Mohan J. Parthasarathy, Padmanabhan Seshaiyer

CODEE Journal

Undergraduate instruction in ordinary differential equations (ODEs) is typically organized around the forward problem: finding solution trajectories when the governing equation and its parameters are known. In scientific practice, however, inverse problems are often more relevant, requiring unknown parameters to be inferred from noisy observations while assessing whether a proposed model is consistent with the data. We introduce PINNLab, an open-source MATLAB dashboard designed to help undergraduate students explore inverse modeling through physics-informed neural networks (PINNs). PINNLab presents PINNs as a complementary data-driven framework that connects differential equations, optimization, empirical data, and scientific machine learning. The instructional sequence is organized …

What Do Highly Successful Families Of Faith Teach Us About Trust?, Caleigh E. B. Kerr

Undergraduate Honors Theses

This study examined trust among diverse families of Abrahamic faiths across the United States. The 292 families who were part of this national study represent significant religious breadth (over 20 total denominations), geographic scope, and racial diversity, with 51% of the participants being racial/ethnic minorities. Married participants had at least one child. Education levels of participants ranged from G.E.D to Ph.D., with varying socioeconomic statuses. Semi-structured interviews were conducted with participants. Couples were hand-chosen by their respective religious leaders as being both relational and religious exemplars.

Using the qualitative responses of participants, a word search was conducted. Responses relevant to …

Improving Documentation Accuracy Of Surgical Site Infection Prevention Bundles Using Implementation Science Frameworks, Laura Fraser, Lynn M. Sackett-Hodge, Michelle Schaeffer, Pamela S. Bozigar

Conference Presentation Abstracts

Accurate documentation of Surgical Site Infection (SSI) prevention bundle components is essential for quality improvement and patient safety. In National Healthcare Safety Network (NHSN)-reported colon (COLO) and hysterectomy (HYST) procedures, incomplete or inconsistent documentation undermines bundle fidelity and limits evaluation of outcomes. This initiative aims to determine whether embedding evidence-based interventions within implementation science frameworks improves documentation accuracy and ensures sustainability.

Automated Alerts To Improve Timely Evaluation And Treatment Of Valvular Heart Disease: The Alert Trial., Wayne B Batchelor, Brian R Lindman, Megan Coylewright, Antoine Keller, Brody Wehman, Adnan Chhatriwalla, Sandeep M Patel, Kevin Stiver, Firas Zahr, Miguel Sotelo, Dongho Shin, Chris Rogers, Graeme L Hickey, Jamie Williams, Myra Fan, Sreekanth Vemulapalli

Medical Education Articles

BACKGROUND: Severe aortic stenosis (AS) and mitral regurgitation (MR) are frequently undertreated and characterized by persistent sex, racial and ethnic, socioeconomic, and geographic disparities despite effective valve therapies. Whether automated electronic clinician notification (ECN) alerts improve the evaluation and treatment of AS and MR across health systems is unknown.

OBJECTIVES: The purpose of this study was to evaluate whether ECN alerts improve guideline-directed evaluation and treatment of significant AS and MR across multiple health systems.

METHODS: ALERT is a multisystem, cluster-randomized clinical trial including clinicians ordering echocardiograms across 5 U.S. health systems encompassing 35 hospitals between August 2024 and September …

Interseismic Creep Along The Enriquillo–Plantain Garden Fault, Haiti, Estimated From Insar, Rishabh Dutta, Jeremy L. Maurer, Yi Chieh Lee

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

The Enriquillo–Plantain Garden fault zone (EPGFZ) is a major left-lateral strike-slip fault in southern Haiti hosting several recent destructive earthquakes, including the 2021 MW 7.1 Nippes event with primary thrust-slip. To investigate how strain is accommodated in the vicinity of the 2021 event, we analyzed Sentinel-1 interferometric synthetic aperture radar (InSAR) data from 2017 to 2021 using a PS + DS (persistent + distributed scatterers) InSAR time-series approach to overcome decorrelation in this highly vegetated region. We reveal interseismic creep along the EPGF and adjacent Grand'Anse–Sud border faults, with pure strike-slip mechanism and rates up to 9 mm/yr. We suggest …

Trophic Transfer Of Fluorescent Polyethylene Microplastics In A Simplified Artemia–Oreochromis Aquatic Food Chain, Dativa J. Shilla

Tanzania Journal of Science

Microplastics (MPs) are pervasive contaminants in aquatic ecosystems, yet experimental evidence of their trophic transfer within tropical African food webs remains scarce. This study provides experimental evidence of indirect trophic transfer of microplastics from Artemia salina to Oreochromis urolepis, a cichlid species of ecological and economic importance in African inland and coastal waters. A simplified two-level food chain was established by exposing A. salina nauplii to fluorescent polyethylene microplastics (10–20 µm; 1, 10, and 100 mg L⁻¹) and subsequently feeding them to juvenile O. urolepis under controlled laboratory conditions. These concentrations were selected to represent a range of exposure levels …

The Role Of Chatgpt In Higher Education: A Systematic Literature Review Of Applications, Perceptions And Ethical Implications, Mahmoud Abdelrahman, Shiyu Hu, Ons Al-Shamaileh, Ramy Hammady, Nishara Nizamuddin

All Works

Purpose – This study aims to systematically review the emerging literature on ChatGPT in higher education, focusing on its applications, impacts and ethical implications from the perspectives of students and academic staff. By synthesising evidence across disciplines and geographical contexts, the review identifies key benefits such as enhanced learning efficiency and artificial intelligence (AI) literacy, alongside challenges including academic integrity risks and unequal access. The purpose is to provide a comprehensive, student-centred understanding of ChatGPT’s role in higher education and to offer actionable insights for policy, practice and future research. Design/methodology/approach – This study adopts a systematic literature review (SLR) …

Applying Theory Of Planned Behavior To Examine Adolescent Female Athletes’ Intentions Of Continued Sport Participation, Chris Hopkins, Casey S. Hopkins

Open Access Fund Publications

Introduction: Adolescent females discontinue sports at higher rates than males, which contributes to their lower overall physical activity during this important period of development. Potentially useful for understanding this disparity, the Theory of Planned Behavior (TPB) provides a framework to study one's intentions through their attitudes, subjective norms, and perceived behavioral control. This study examined whether TPB constructs predict female adolescents’ intentions to continue participating in sports and remain physically active.

Methods: This cross-sectional study used an online questionnaire to collect data from 271 female adolescents who recently participated in organized sports. Structural equation modeling was used to test TPB's …

Bridging The Gender Gap In Ghanaian Local Governance: Key Enablers And Pathways, Martin Brantuo, Victor Fannam Nunfam, Joseph Akanganngang Asitik, Ebenezer Afrifa-Yamoah

Research outputs 2022 to 2026

This qualitative study examines factors facilitating women’s election to District Assemblies in Ghana through social capital and supply–demand theoretical frameworks. Through interviews with thirteen female Assembly members and four officials, the research identifies four critical enablers: financial resources, political affiliations, community relationships, and educational qualifications. Financial resources emerged as crucial for campaign management and voter mobilization, while political party support provided strategic advantages despite the nonpartisan nature of local elections. Strong interpersonal relationships within communities proved vital for building voter trust, and educational background enhanced candidates’ credibility. The findings inform recommendations for implementing gender quotas, establishing campaign funding mechanisms, voter …

Editor’S Introduction, Michael D. Pante

Philippine Studies: Historical and Ethnographic Viewpoints

No abstract provided.

Load Profile Analysis And Forecasting For Rural Mini Grids In Uganda, Prossy Mutesi, Santos L. Kihwele, Emmanuel S. Matee

Tanzania Journal of Science

Accurate load forecasting is essential for the reliable and cost-effective operation of rural mini grids, where constrained generation capacity and high penetration of renewable energy resources require well-informed operational decisions. This study examines electricity demand characteristics and forecasting performance for the Buzaami and Ssenyondo mini grids in Uganda, with particular focus on diurnal load profiles, peak demand behavior, and seasonal variability. 2022 operational data show extended peak demand from early morning to late evening, driven by socio-economic activities that strain resource scheduling and reliability management. To address these challenges, the study evaluates and compares Long Short-Term Memory (LSTM) networks, fuzzy …

A System For The Prediction Of Election Results Using Vader And Hybridized Machine Learning Model, Abraham E. Evwiekpaefe, Khadijah Kabir, Georgina N. Obunadike

Tanzania Journal of Science

Integrating different classifiers along with sentiment lexicons like Vader, can enhance the performance of sentiment analysis systems. However, such a hybrid model remains underexplored, particularly in the context of regional elections in developing countries like Nigeria. The aim of this research is to develop a hybrid model that combines three machine learning classifiers and Vader lexicon to possibly achieve a higher accuracy. A case study of the 2023 governorship election in Kogi, Bayelsa and Imo State, Nigeria was examined. Twitter API library was utilized to extracted public and personal tweets using hashtags and keywords related to the target data from …

Optimization Of Bio-Briquettes Production From Cassava Stems Co-Blended With Sisal Bole Bagasse Using Response Surface Methodology, Agnes Nshoma Msobi, Neema O. Msuya, Kando Khalifa Janga

Tanzania Journal of Science

This research aimed at producing bio-briquettes from cassava stems and sisal bole bagasse as an alternative source of cooking energy. A Response Surface Methodology (RSM) with Face - Centered Central Composite Design (FCCCD) featured a multi-objective optimization of the effect of the production parameters, focusing on maximizing char yield and Higher Heating Value (HHV) of the produced briquette while minimizing carbonization temperature and residence time. The findings showed that bio-briquettes produced at the lowest temperature (250 ℃) and residence time (30 min) and the blending ratio of 75% by 25% had the highest char yield of 76.92% and HHV of …

The Helminthic Status Of Selected Tanzanian Subterranean Rodents, The Root-Rats (Spalacidae: Tachyoryctes Splendens) And Emini Silvery Mole-Rats (Bathyergidae: Heliophobius Argenteocinereus Emini), Jestina V. Katandukila

Tanzania Journal of Science

Root-rats (Tachyoryctes splendens) and emini silvery mole-rats (Heliophobius argenteocinereus emini) are common subterranean rodents that are essential component of the ecosystem. They serve as prey for small to medium-sized carnivores and birds of prey but their role as hosts to parasites is limited. The present study, explored the Gastrointestinal Tract (GIT) contents of 40 rodents (20 T. splendens and 20 H. a. emini, respectively) to acquire information on parasites diversity of these mammals. The GIT contents from subterranean rodents in a sex ratio of 1:1 were examined under a compound microscope to isolate helminths. The isolated helminths belonged to the …

Modelling And Analysis Of 50 Mwp Solar Pv Integration Into Tanzania’S Transmission Network: A Case Study Of Tagamenda Substation, Iringa Region, Santos Kihwele

Tanzania Journal of Science

While increasing the share of renewable energy in the grid, grid integration studies for the utility solar photovoltaic (PV) plants are vital, given their intermittency and the fact that Tanzania has never had one connected to the grid. This paper presents a 50 MWp grid integration study, including a technical analysis conducted using PSS®E software. The study investigates the grid behaviour during the integration of the 50 MWp solar plant, considering the most suitable technical and economic solutions. The study analysed the load flow under normal conditions, contingency analysis (N-1), short- circuit analysis, and voltage stability assessment. The results show …

Extraction Of High-Quality Cashew Nutshell Liquid Using Carbon Dioxide-Expanded Hexane, Frank N. Jacob, Neema Msuya, Joseph Y.N Philip, Kando Khalifa Janga

Tanzania Journal of Science

Cashew nutshell liquid (CNSL) is a by–product from cashew processing industries containing four naturally occurring phenolic compounds. This study investigated an extraction approach using CO2–expanded hexane. The central composite design (CCD) was employed in experimental design to investigate the effects and interaction of CO 2 mole fractions and extraction temperature on the CNSL yield and quality (Colour) from Steamed CNSL. The dissolution power of the CO2–expanded hexane was assessed by determining the solubility of CNSL during the initial stages of extraction at different extraction conditions. Findings indicated that higher CO2 mole fractions reduced CNSL solubility, while higher temperatures enhanced it. …

Caregiver-Implemented Functional Analysis Of Moderate-To-Vigorous Physical Activity Of Children, Rachel B. Riccardo

USF Tampa Graduate Theses and Dissertations

Most children do not currently meet the 60 min per day recommendation for moderate-to-vigorous physical activity (MVPA), which could lead to problematic health outcomes. Researchers have used behavioral assessments (i.e., functional analysis [FA]) to identify the maintaining variables (e.g., attention, interactive play) that produce elevated levels of MVPA. The purpose of this study was to evaluate the extent to which a caregiver-implemented FA can identify the function of their child’s MVPA. All three participants engaged in elevated levels of MVPA when adult interaction and attention were delivered contingently. The results of this study showed that caregivers implemented FAs of MVPA …

Electronic Health Record Alerts To Improve Lipid Lowering After A Recent Myocardial Infarction, Dean G. Karalis, Benjamin Richter, Scott Hessen, Patrick Moeller, Laney K. Jones

Division of Cardiology Faculty Papers

BACKGROUND: This observational, quality initiative evaluated the impact of changing from a passive (dismissible) to an active (nondismissible without action) electronic health record alert on guideline-recommended lipid-lowering therapy (LLT) prescriptions in patients with recent myocardial infarction at risk for secondary events.

METHODS: We sequentially recruited a retrospective passive-alert (February 2018-July 2019; n=733) and a prospective active-alert (August 2020-January 2022; n=587) cohort of patients who triggered an alert to intensify LLT or order a low-density lipoprotein-cholesterol (LDL-C) test if they had a recent myocardial infarction (within 12 months) and elevated (≥70 mg/dL) or missing LDL-C. Prescribed LLTs and cumulative percentages of …

A Caveat Regarding The Unfolding Argument: Implications Of Plasticity, Viknas N. O'Reilly-Shah, Alessandro Maria Selvitella, Aaron Schurger

Psychology Faculty Articles and Research

The unfolding argument in the neuroscience of consciousness posits that causal structure cannot account for consciousness because any recurrent neural network (RNN) can be “unfolded” into a functionally equivalent feedforward neural network (FNN) with identical input–output behavior. Subsequent debate has focused on dynamical properties and philosophy of science critiques. We examine a boundary condition on the unfolding argument for RNN systems with rapid plasticity in their connection weights. We demonstrate through rigorous mathematical proofs that rapid plasticity negates the functional equivalence between the RNN and the FNN. Our proofs address history-dependent plasticity, dynamical systems analysis, information-theoretic considerations, perturbational stability, complexity …

Cover And Contents

Turkish Journal of Physics

No abstract provided.

Direct Minimization Of Hartree-Fock-Roothaan Energy Functionals Using Derivative-Free Optimization Algorithms: A Case Study On The Use Of Noninteger Slater-Type Orbitals, Ali̇ Bağci

Turkish Journal of Physics

This study presents an evaluation of derivative-free optimization algorithms for the direct minimization of Hartree−Fock−Roothaan energy functionals involving nonlinear orbital parameters and noninteger-order quantum numbers. The analysis focuses on atomic calculations employing noninteger Slater-type orbitals. Analytic derivatives of the energy functional are not readily available for these orbitals. Four methods are investigated under identical numerical conditions: Powell’s conjugate−direction method, the Nelder−Mead simplex algorithm, coordinate-based pattern search, and a model-based algorithm utilizing radial basis functions for surrogate-model construction. Performance analysis is first carried out using the Powell singular function, a well-established test case exhibiting challenging properties, including Hessian singularity at the …

Analytical Eigenmode Framework For Triplet-Mediated Fluorescence Dynamics Under Pulsed Excitation, Bariş Demi̇rbay

Turkish Journal of Physics

An exact analytical solution to a three-state photophysical model is presented to explicitly map the time-resolved fluorescence dynamics of a fluorophore under pulsed excitation. As distinct from earlier analytical treatments that primarily focused on transient absorption and total ground-state depletion, the proposed eigenvalue-eigenvector framework captures both transient and steady-state emission responses. The photophysical model accounts for electronic transitions between the singlet ground state, the excited singlet state and a long-lived triplet state, enabling a treatment of excitation, radiative decay, intersystem crossing, together with triplet-state relaxation. By diagonalizing the rate matrix consisting of phenomenological transition rates, closed-form expressions for the time-dependent …

Coupling A Discrete State To A Quasi-Continuum: A Model Quantum-Mechanical System That Interpolates Between Rabi Oscillations And Decay-Revival Dynamics, Enes Kutay İşgörür, Osman Cevheroğlu, Arkadaş Özakin

Turkish Journal of Physics

We formulate a quantum-mechanical system consisting of a single discrete state coupled to an infinite ladder of equally spaced states, with the coupling described by a Lorentzian profile. Various limiting cases of this system correspond to well-known models in quantum optics: the narrow-resonance limit yields the Rabi model, the wide-resonance limit yields the Bixon--Jortner model, the wide-resonance true continuum limit yields the Wigner--Weisskopf model, and the fixed-resonance true continuum limit yields a system typically studied using methods developed by Fano. We obtain a semianalytical solution to the eigenvalue problem by reducing it to a transcendental equation and demonstrate the limiting …

Breaking The Ideal: Viscosity, Nonlinearity, And Transience In Wave Attractors, Stepan Elistratov, Ivan But

Turkish Journal of Physics

Wave attractors in viscous media exhibit laminar or turbulent behavior, dictated by the intensity of the external forcing. Laminar attractors are often assumed to behave as linear systems. However, existing studies typically focus on fully developed flows, neglecting the dynamic formation process of these attractors. This simplification overlooks crucial transient phenomena that govern their emergence and stability. In this paper, first, we investigate unconventional wave attractor configurations subjected to forcing with a complex spectrum, which lead to early nonlinearity demonstration. Next, we focus on the transient processes of attractor formation and destruction, providing insights into their dynamic evolution. Furthermore, we …

An International Multidisciplinary Consensus Statement On Laparoscopic Liver Biopsy, Si Yi Lei, Yu Han, Don C. Rockey, Khalid Alswat, Vincent Wai Sun Wong, Nozim Jumaev, Carlos Jesus Toro-Huamanchumo, Safwan Taha, Mohamed El-Kassas, Jacob George, Mark Muthiah, Omar Ghanem, Masato Yoneda, Dao Viet Hang, Giada Sebastiani, George Papatheodoridis, Adam Abu-Abeid, Andrew G. Robertson, Sang Hyun Kim, Rudolf Weiner, Kamal Mahawar, Asim Shabbir, Mohammad Kermansaravi, Reynu Rajan, Yosuke Seki, Halit Eren Taskin, Scott Shikora, Edward Oliveros, Chetan Parmar, Qiuye Cheng, Omar Thaher, Elena Ruiz-Úcar, Rodolfo Oviedo, Rui Ribeiro, Mario Musella, Almino C. Ramos, Seung-Wan Ryu, Tamer Abdelbaki, Wei Jei Lee, Man Pan Chan, Jose Eduardo Garcia Flores, James Skinovsky, Ahmad Madkhali, Sylvia Weiner, Frank Tacke, Wah Yang, James Neuberger, Ming-Hua Zheng

Research outputs 2022 to 2026

Laparoscopic liver biopsy (LLB) provides a way to obtain liver tissue samples under direct visual inspection of the liver surface. It complements percutaneous liver biopsy (PLB) for complex or high-risk cases where PLB cannot be performed. Clinical practices for LLB vary across centers due to the lack of international standards. To improve the procedural quality and diagnostic efficiency of LLB, a multidisciplinary panel of 45 international experts from 6 continents, including hepatology, hepatobiliary surgery, gastrointestinal surgery, and metabolic and bariatric surgery, developed this consensus statement through three rounds of a modified Delphi process. This consensus covers clinical application scenarios, high-risk …

Bridging The Gap Towards Sustainable Development: A Systematic Literature Review On Orang Asli Communities In Peninsular Malaysia, Nurfatiha Akmal Fawwazah Abdullah-Fauzi, Nursyuhada Othman, Hidayah Haris, Nur Hartini Sariyati, Farah Farhana Ramli, Kaviarasu Munian, Mohd Faudzir Najmuddin, Mohd Tajuddin Abdullah, Muhammad Abu Bakar Abdul-Latiff

Forest and Society

Orang Asli communities in Peninsular Malaysia have a complex history marked by challenges related to land rights, environmental degradation, and cultural preservation. Despite ongoing efforts to address these challenges, significant obstacles persist, particularly in healthcare access and outcomes, education, language preservation, dietary practices, religious beliefs, and policy frameworks. This systematic literature review aims to provide a comprehensive analysis of past and current research on various aspects of Orang Asli communities in Peninsular Malaysia. The primary goal is to uncover the trends of challenges and unique characteristics of the Orang Asli communities while offering valuable recommendations for improvement. The Preferred Reporting …

Experimental Study Of A Scaled Flexible Riser For Hydrogen Transport From A Floating Wind Turbine Platform To The Seabed, Jessica Guichard, Martyn Hann, Tom Tosdevin, Deborah Greaves

School of Engineering, Computing and Mathematics

Dolphyn Hydrogen aims to support the UK Government’s 2030 hydrogen targets by deploying a 10-15 MW Commercial Scale Demonstrator that produces hydrogen offshore using wind energy. To achieve this, hydrodynamic studies are required to optimise the flexible pipeline transporting hydrogen from a floating wind turbine to the seabed, as well as the buoyancy modules that create the riser’s lazy wave shape. A key parameter is ensuring the riser never bends below its minimum allowable radius. The hydrodynamic behaviour of a 6-inch NOV flexible pipe is tested at 1:62 scale in the University of Plymouth’s COAST Laboratory Ocean Basin. The riser …

Meningioma Detection From Mri: A Comparative Study Of Deep Learning Models, A. H. Doha, Sandi Jennifer, Fatima Alabdaly

AUIQ Complementary Biological System

This study compares several deep learning models including DenseNet20, CNN, ResNet50, VGG19, EfficientNet-B3, MobileNetV2, NASNetMobile, Xception to automatically classify brain meningiomas from MRI scans. A public dataset was used to evaluate the proposed model. All models were trained, validated, and tested on this dataset. Because meningiomas are common and manual reads, the goal is to speed and standardize diagnosis. Our main contribution is pairing a high-accuracy classifier with deep learning models. Among all models, DenseNet201 performed best, reaching 0.991% accuracy and reliably separating tumorous from non-tumorous MRIs. Future work will expand the dataset and incorporate stronger segmentation to further boost …