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2025

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Mathematical Analysis And Numerical Simulation Of A Fractional-Order Sir-Si Model For Malaria Transmission Dynamics, Gassan A. M. O. Farah, Abdulaziz Y. A. Mukhtar, Kailash C. Patidar Dec 2025

Mathematical Analysis And Numerical Simulation Of A Fractional-Order Sir-Si Model For Malaria Transmission Dynamics, Gassan A. M. O. Farah, Abdulaziz Y. A. Mukhtar, Kailash C. Patidar

Mathematical Modelling and Numerical Simulation with Applications

This study investigates the complex transmission dynamics of malaria, a critical global health challenge, with a focus on the African continent. We introduce a novel approach that employs Fractional Differential Equations (FDEs) to advance the understanding of malaria spread and control. Specifically, we develop a new SIR-SI model using the Caputo fractional operator, which captures the memory effects and time-delay characteristics inherent in real-world epidemiological systems. A detailed analysis of the model's solvability and uniqueness is conducted using fixed-point theory. To obtain an analytical solution, the system is solved via the Laplace transform method, with solutions expressed in closed form …

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Multi-Criteria Decision Making Methods In The Organisations' Maturity Assessment: Prisma And Delphi Techniques Perspectives, Jailos Mrisho Mzumile, Victoria Mahabi, Ismail W. R. Taifa Dec 2025

Multi-Criteria Decision Making Methods In The Organisations' Maturity Assessment: Prisma And Delphi Techniques Perspectives, Jailos Mrisho Mzumile, Victoria Mahabi, Ismail W. R. Taifa

Tanzania Journal of Engineering and Technology (TJET)

Researchers often find it challenging to identify the appropriate Multi-Criteria Decision Making Methods (MCDM) to employ in various research areas that involve prioritising conflicting alternatives or criteria. A systematic literature review was conducted using the PRISMA technique to determine the most frequently and commonly employed MCDM methods in assessing organisational maturity across its functional areas. A total of 120 articles were identified for review, and a bibliometric analysis was conducted to map the relationships within the identified articles using VOSviewer 1.6.20 software. Moreover, frequent content analysis was performed to determine the most frequently employed MCDM methods in assessing an organisation’s …

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Towards Computational Methods In Medical Data Analysis: From Speech And Text To Imaging, Kristin Qi Dec 2025

Towards Computational Methods In Medical Data Analysis: From Speech And Text To Imaging, Kristin Qi

Graduate Doctoral Dissertations

Early detection of cognitive decline and efficient medical image analysis remain critical challenges in healthcare. Traditional clinical assessments are infrequent and resource-intensive, while everyday speech data and unlabeled medical images remain largely unexploited. This dissertation develops computational methods integrating machine learning and artificial intelligence across speech, text, and imaging modalities to address challenges in medical data processing. For cognitive monitoring, this work first introduces methods using voice assistant systems to collect longitudinal speech data in home environments, demonstrating that incorporating historical session patterns significantly enhances detection of mild cognitive impairment. Building on this foundation, a framework combining large language model-driven …

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Revisiting Underwater Image Enhancement For Object Detection: A Unified Quality–Detection Evaluation Framework, Ali Awad, Ashraf Saleem, Sidike Paheding, Evan Lucas, Serein Al-Ratrout, Timothy C. Havens Dec 2025

Revisiting Underwater Image Enhancement For Object Detection: A Unified Quality–Detection Evaluation Framework, Ali Awad, Ashraf Saleem, Sidike Paheding, Evan Lucas, Serein Al-Ratrout, Timothy C. Havens

Michigan Tech Publications

Underwater images often suffer from severe color distortion, low contrast, and reduced visibility, motivating the widespread use of image enhancement as a preprocessing step for downstream computer vision tasks. However, recent studies have questioned whether enhancement actually improves object detection performance. In this work, we conduct a comprehensive and rigorous evaluation of nine state-of-the-art enhancement methods and their interactions with modern object detectors. We propose a unified evaluation framework that integrates (1) a distribution-level quality assessment using a composite quality index (Q-index), (2) a fine-grained per-image detection protocol based on COCO-style mAP, and (3) a mixed-set upper-bound analysis that quantifies …

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The “Four Concentric Circles Of Russian”: Toward A Model, Timothy G. Reagan Dec 2025

The “Four Concentric Circles Of Russian”: Toward A Model, Timothy G. Reagan

Russian Language Journal

Braj Kachru suggested that one way of understanding the role and use of English around the world was to distinguish among three concentric “circles”: the inner circle, the outer circle, and the expanding circle. In this article, I will use Kachru’s model as the foundation for the development a similar model for positioning the Russian language in the contemporary world. The historical differences in Anglo-American linguistic expansion and Russian linguistic expansion lead to somewhat different divisions among speakers of the respective languages. The model proposed here has four concentric circles: an inner circle (consisting of the Russian …

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Dynamic And Stable Motivation Patterns In Intensive Second Language Learning: Insights From A Russian Summer Immersion Program, Dmitrii Pastushenkov Dec 2025

Dynamic And Stable Motivation Patterns In Intensive Second Language Learning: Insights From A Russian Summer Immersion Program, Dmitrii Pastushenkov

Russian Language Journal

Understanding what shapes student motivation is essential to improving second language (L2) programs. While motivation is among the widely studied individual differences (IDs) in second language acquisition (SLA), research has largely focused on commonly taught languages, limiting broader applicability. This mixed-methods study, grounded in Dynamic Systems Theory (DST), explores the motivational development of learners studying a less commonly taught language (LCTL), Russian, during an eight-week summer immersion program. Data were collected from 52 students across four instructional levels. Motivation was assessed through two brief online surveys, developed based on research by Gardner, Dörnyei, Lanvers, Thompson, and others, and administered during …

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Why Russian? Language Choice And Enrollment In U.S. Universities, Emma Calderwood, Teresa R. Bell, Jennifer Bown, Grant H. Lundberg Dec 2025

Why Russian? Language Choice And Enrollment In U.S. Universities, Emma Calderwood, Teresa R. Bell, Jennifer Bown, Grant H. Lundberg

Russian Language Journal

Russian language enrollments at U.S. universities have declined steadily since 2009 (MLA, 2023), yet little research has examined current student motivations for studying Russian, particularly after the 2022 escalation of the Russo–Ukrainian War. This study surveyed two groups: (a) students enrolled in any 101-level language course at University X and (b) students in Russian courses at six U.S. universities. Results show that motivations for studying Russian are primarily integrative—general interest in the language, desire to converse with Russian speakers, aspirations to travel to Russian-speaking countries, and previous Russian knowledge—rather than instrumental. Students who considered but did not choose Russian most …

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International Education And Spiritual Emptiness A Reflection From Europe, Nitya N. Timsina Dec 2025

International Education And Spiritual Emptiness A Reflection From Europe, Nitya N. Timsina

Journal of Comparative & International Higher Education

This essay is a revolt against a biased understanding called “internationalization” in education which grounds all historical, geographical, philosophical, ecological, and cultural distinctions in the world into a Platonic absolute. The key to this problem, this essay argues, lies in the drive to ontological, conceptual, or theoretical understanding in our approach to knowledge with its primacy in the Western thought. This essay calls into question this absolute sphere of influence, power and mastery enjoyed by the Western sciences, and a sense of space and authority it enjoys to make others impossible in the world. It does so by bringing different …

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Understanding The Fidelity And Specificity Of Dna Polymerase I, Bill R. Miller Iii, Andrew V. Yeager, Jake A. Collins, Alexis Blake, Elise Tate, Carol A. Parish, Eugene Y. Wu Dec 2025

Understanding The Fidelity And Specificity Of Dna Polymerase I, Bill R. Miller Iii, Andrew V. Yeager, Jake A. Collins, Alexis Blake, Elise Tate, Carol A. Parish, Eugene Y. Wu

Chemistry Faculty Publications

High-fidelity DNA polymerases employ complex mechanisms to catalyze template-dependent DNA synthesis while quickly discarding mismatches. Atomic-level structural details about short-lived states during nucleotide discrimination are necessary to gain insight into the kinetic checkpoints that contribute to fidelity. We performed microsecond molecular dynamics simulations of DNA polymerase I, large fragment, from Bacillus stearothermophilus (Bacillus fragment, or BF) in complex with a template guanine and a mismatched thymidine triphosphate to observe the early events in the process of selection against a mismatch. Although the nucleobases formed a wobble base pair early, the mismatched pair was blocked from fully entering the active site …

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Penggunaan Metode Socrates Dalam Mengembangkan Pendidikan Tinggi Hukum Di Indonesia, Syarifah Lisa Andriati, Inneke Kiki Rizki, Ain Najwa Binti Mohd Malian Dec 2025

Penggunaan Metode Socrates Dalam Mengembangkan Pendidikan Tinggi Hukum Di Indonesia, Syarifah Lisa Andriati, Inneke Kiki Rizki, Ain Najwa Binti Mohd Malian

Jurnal Hukum & Pembangunan

The ability to think critically and have the ability as a problem solver is needed in higher education Law in Indonesia. One of the methods used is the Socratic Method. Critical thinking is one of the aspects that law students must have to improve their ability as problem solvers. This research was conducted to contribute that the application of the Socratic method is effective to be applied in the learning process of higher education in Indonesia, as well as to provide evaluation and knowledge about the challenges and obstacles that will be faced in the process of applying the Socratic …

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Effect Of Niobium Addition On Corrosion Behavior, Mechanical Properties, And Microstructures Of U6zr Alloys In An Aerated Environment, Masrukan Masrukan, Djati Handoko, Dede Djuhana, Rohmad Sigit, M. Husna Al Hasa, Wisnu Ari Adi, Siti Mardiah Dec 2025

Effect Of Niobium Addition On Corrosion Behavior, Mechanical Properties, And Microstructures Of U6zr Alloys In An Aerated Environment, Masrukan Masrukan, Djati Handoko, Dede Djuhana, Rohmad Sigit, M. Husna Al Hasa, Wisnu Ari Adi, Siti Mardiah

Makara Journal of Science

The effect of Nb addition on the corrosion behavior of U–6Zr alloys within an aerated, demineralized water (DW) environment (pH 5.61) and its correlation of this addition with the mechanical and microstructural properties of the alloys were investigated. The U–6Zr–xNb alloys (x = 1, 4, and 7 wt.%) were synthesized by arc-melting U, Zr, and Nb. Additionally, the samples were mounted and polished, after which they were subjected to electrochemical corrosion analysis using a potentiostat. This evaluation was conducted in a DW medium (pH 5.6), representing an aerated atmosphere, at room temperature (27°C) and a potentiodynamic scan rate of 1 …

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Electrochemical Sensors Based On Graphene Oxide/Pedot:Pss Composite Decorated With Bimetallic Gold–Silver Nanoparticles For H2o2 Detection, Rayyan Azzahra Hidayat, Budi Riza Putra, Munawar Khalil, Wulan Tri Wahyuni Dec 2025

Electrochemical Sensors Based On Graphene Oxide/Pedot:Pss Composite Decorated With Bimetallic Gold–Silver Nanoparticles For H2o2 Detection, Rayyan Azzahra Hidayat, Budi Riza Putra, Munawar Khalil, Wulan Tri Wahyuni

Makara Journal of Science

Hydrogen peroxide (H2O2) is a biomarker that indicates oxidative stress levels in the human body; thus, rapid and accurate detection methods are necessary to diagnose various disorders. This study developed a nonenzymatic electrochemical sensor for detecting H2O2 using bimetallic gold–silver nanoparticles (Au–Ag NPs) combined with graphene oxide and poly(3,4-ethylenedioxythiophene)-poly(styrenesulfonate)-modified glassy carbon electrode. The surface properties of the modified electrodes were characterized using scanning electron microscopy–energy dispersive spectroscopy and atomic force microscopy. The electrochemical performance of the modified electrodes was evaluated using cyclic voltammetry, electrochemical impedance spectroscopy, and differential pulse voltammetry. The bimetallic Au-Ag …

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Development Of Shigella Flexneri Detection Method By Real-Time Polymerase Chain Reaction Targeting The Sfmd Gene, Muktiningsih Nurjayadi, Puan Aqila Azizah, Agus Setiawan, Ananda Indah Putri Sihombing, Anisa Fitriyanti, Grace Grace, Gusti Angieta Putri, Helzi Angelina, Royna Rahma Musie, Jefferson Lynford Declan, Gladys Indira Putri, Dandy Akbar Juliansyah, Siti Fatimah, Tiara Fahriza, Irma Ratna Kartika, Fera Kurniadewi, Novitasari Novitasari, Bassam Abomoelak, Hesham Ali El Enshasy, Shyi-Tien Chen Dec 2025

Development Of Shigella Flexneri Detection Method By Real-Time Polymerase Chain Reaction Targeting The Sfmd Gene, Muktiningsih Nurjayadi, Puan Aqila Azizah, Agus Setiawan, Ananda Indah Putri Sihombing, Anisa Fitriyanti, Grace Grace, Gusti Angieta Putri, Helzi Angelina, Royna Rahma Musie, Jefferson Lynford Declan, Gladys Indira Putri, Dandy Akbar Juliansyah, Siti Fatimah, Tiara Fahriza, Irma Ratna Kartika, Fera Kurniadewi, Novitasari Novitasari, Bassam Abomoelak, Hesham Ali El Enshasy, Shyi-Tien Chen

Makara Journal of Science

Shigella flexneri can cause shigellosis, which results in high fever, vomiting, diarrhea, or death. This study developed a detection method based on real-time polymerase chain reaction that targets the sfmD gene of S. flexneri given that the virulence factor encoded by this gene is thought to facilitate adhesion to a host surface. The proposed method involves primer design, DNA isolation, the optimization of primer annealing temperature, and confirmation, specificity, and sensitivity tests. A sfmD primer with an amplicon length of 155 bp was annealed to the target DNA at an optimized temperature of 60 ℃ (range 54 °C–62 °C). This …

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Promoting Trustworthy File Sharing: A Community-Governed Dapp Approach, Chong-Gee Koa, Swee-Huay Heng, Ji-Jian Chin Dec 2025

Promoting Trustworthy File Sharing: A Community-Governed Dapp Approach, Chong-Gee Koa, Swee-Huay Heng, Ji-Jian Chin

School of Engineering, Computing and Mathematics

In the cyber digital world, file sharing has become a cornerstone of global connectivity, facilitating the exchange of media, information, and resources among people worldwide. File sharing is already a norm in our daily lives, with many existing platforms allowing users to download shared content without verification or with only basic verification. Hence, the trustworthiness of the shared content is a concern. Meanwhile, blockchain technology has evolved over the last 15 years since its introduction, renowned for its decentralised, secure, and transparent system enabling efficient transactions, traceability across various industries. To address the mentioned open issue, we introduce a decentralised …

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Designing Inclusive Immersive Experiences: Intergenerational Codesign Of Heritage And Underwater Extended Reality For Older Adults, Marius N. Varga, Oksana Hagen, Rory Baxter, Alejandro Veliz Reyes, Ray B Jones, Amir Aly, Dena Bazazian, Gaudl Swen Dec 2025

Designing Inclusive Immersive Experiences: Intergenerational Codesign Of Heritage And Underwater Extended Reality For Older Adults, Marius N. Varga, Oksana Hagen, Rory Baxter, Alejandro Veliz Reyes, Ray B Jones, Amir Aly, Dena Bazazian, Gaudl Swen

School of Nursing and Midwifery

Despite rapid advances in immersive Extended Reality technologies, creating inclusive and accessible experiencesfor older adults remains challenging. Many Extended Realityapplications fail to account for the physical, cognitive, andergonomic needs of older users, resulting in low engagement anddigital exclusion. Cultural heritage and underwater environmentsoffer rich contexts for meaningful interaction and wellbeing.This study explored how intergenerational codesign can informthe development of immersive Extended Reality applicationsfor older adults. Two case studies were undertaken within theICONIC project: a Heritage Extended Reality experience recreating Cotehele, a National Trust heritage site, and an UnderwaterTelepresence experience simulating marine environments. Theobjective was to identify design principles supporting accessibility, …

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Panda-Plus: Improved Dataset Of Prostate Whole Slide Images From Panda Challenge With Pixel-Level Expert Annotations, Spencer Hopson, Carson Mildon, Corbyn Kubalek, Joshua L. Ebbert, Ryan Vance, Lauren Laverty, Paul Urie, Dennis Della Corte Dec 2025

Panda-Plus: Improved Dataset Of Prostate Whole Slide Images From Panda Challenge With Pixel-Level Expert Annotations, Spencer Hopson, Carson Mildon, Corbyn Kubalek, Joshua L. Ebbert, Ryan Vance, Lauren Laverty, Paul Urie, Dennis Della Corte

Faculty Publications

Artificial intelligence (AI)-based prostate cancer detection through whole slide images (WSIs) offers promising potential to address the global pathologist shortage while improving clinical consistency. Digital slides and improving image analysis methods encourage the creation of tools to aid in WSI classification. Despite promising advances, these tools are still limited by available training data. Current publicly available datasets, such as Kaggle's PANDA Challenge, while large in scale, rely on slide-level labels that may introduce noise and limit model reliability. Others contain detailed annotations, but are smaller in size due to manual processing efforts. In this work, we introduce PANDA-PLUS, a 546-image …

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Algorithm For Stabilizing The Reference Trajectory Of Self-Tuning Systems With A Reference Model, Isamidin Hakimovich Sidikov, Feruzakhon Botirxon Qizi Sodiqova Dec 2025

Algorithm For Stabilizing The Reference Trajectory Of Self-Tuning Systems With A Reference Model, Isamidin Hakimovich Sidikov, Feruzakhon Botirxon Qizi Sodiqova

Technical science and innovation

The paper addresses the problem of stabilizing self-tuning systems using adaptive control methods based on a reference process model. As the optimality criterion, the functional of maximum speed of response is selected. The algorithm for synthesizing the self-tuning system is based on a relay-linear control law, which possesses the property of invariance to small disturbances. The issue of ensuring the practical stability of the system under adaptive and multiplicative disturbances is examined. An algorithm for the synthesis of a reference trajectory stabilization system has been developed on the basis of a quasi-optimal passive self-tuning system (STS) with a reference model, …

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Development Of Technical Solutions To Prevent The Formation Of Sludge Regime At The Bottom Of A Well, Rustam Umarkhanovich Juraev, Jonibek Tursunov Dec 2025

Development Of Technical Solutions To Prevent The Formation Of Sludge Regime At The Bottom Of A Well, Rustam Umarkhanovich Juraev, Jonibek Tursunov

Technical science and innovation

The trouble-free process of drilling wells largely depends on the effective cleaning of the borehole. The formation of a slurry regime at the bottom of the well leads to the process of repeated crushing of drilling fines, which in turn leads to a decrease in the mechanical drilling speed, to an increase in the energy consumption of the rock-crushing tool for repeated crushing, and also increases the risk of oil seals. In addition, the formation of a slurry regime at the bottom of the well increases the intensity of abrasive wear of the drilling rig. This article provides a theoretical …

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Mathematical Modeling Of The Atmospheric Water Harvesting Process Using Cfd, Jasur Esirgapovich Safarov, Shakhnoza Abduvaxitovna Shaxnoza, Doston Ishmuxammat Ugli Samandarov, Azamat Bakir Ugli Usenov, Shahzod Faxriddin Ugli Dostqobilov Dec 2025

Mathematical Modeling Of The Atmospheric Water Harvesting Process Using Cfd, Jasur Esirgapovich Safarov, Shakhnoza Abduvaxitovna Shaxnoza, Doston Ishmuxammat Ugli Samandarov, Azamat Bakir Ugli Usenov, Shahzod Faxriddin Ugli Dostqobilov

Technical science and innovation

This article presents the physical principles of Atmospheric Water Harvesting (AWH) technologies, including spectral radiation balance, air-sorbent interactions, thermodynamic constraints, and computational fluid dynamics (CFD) modeling approaches. The study provides models of water condensation, adsorption-desorption processes, and energy consumption. In addition, a detailed thermodynamic analysis was carried out to determine the partial vapor pressure, cooling demand, and theoretical energy limits of water extraction. The adsorption process is described using Langmuir isotherms, while desorption is represented through a kinetic model dependent on activation energy. To analyze the coupled processes of airflow, mass transfer, and heat transport, CFD models based on the …

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Detection And Correction Of Object Orientation On Production Lines Using Photodetector-Based Systems, Utkirjon Ubaydullayev, Elmira Raxmanova Dec 2025

Detection And Correction Of Object Orientation On Production Lines Using Photodetector-Based Systems, Utkirjon Ubaydullayev, Elmira Raxmanova

Technical science and innovation

This article addresses the issue of errors occurring in high-speed production lines, particularly those caused by misalignment or incorrect positioning of manufactured objects. Although production lines have significantly enhanced industrial efficiency worldwide, they are not immune to mistakes, especially under rapid operation conditions. To mitigate these errors without human intervention, the proposed solution integrates photodetector sensor matrices with robotic manipulators. The system uses high-resolution photodetector arrays, such as the Hamamatsu S13774 CMOS Linear Image Sensor, to capture shadows of objects on the production line, converting these into numerical data. This data is then processed using Principal Component Analysis (PCA) and …

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Optimization Of The Operational Efficiency Of Transport And Technological Complexes Based On Simulation Modeling, Kamoliddin Juraboevich Rustamov, Gulom Gaffurdjanovich Atabaev Dec 2025

Optimization Of The Operational Efficiency Of Transport And Technological Complexes Based On Simulation Modeling, Kamoliddin Juraboevich Rustamov, Gulom Gaffurdjanovich Atabaev

Technical science and innovation

The article presents a comprehensive analytical approach to improving the operational efficiency of transport and technological machines (TTM) based on simulation modeling. The proposed model integrates the economic and reliability characteristics of maintenance (TM) strategies by describing the operation of aggregates, the probability of failures, and transitions between states — operational (W), faulty (F), and restored (R) — as probabilistic processes. Model parameters are identified using statistical data from real operating conditions and adapted to various types of technical systems. Computer simulation experiments are carried out under multiple scenarios of maintenance periodicity, workload intensity, spare parts resource, and repair policy. …

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Study Of The Influence Of Material Heterogeneities In Humidity Measurements In A Closed Volume, Hulkar Asadullayevna Usmanova, Asadulla Turgunbaev, Umid Uralovich Xudaykulov Dec 2025

Study Of The Influence Of Material Heterogeneities In Humidity Measurements In A Closed Volume, Hulkar Asadullayevna Usmanova, Asadulla Turgunbaev, Umid Uralovich Xudaykulov

Technical science and innovation

The article presents generalized theoretical studies of the errors arising in the conversion of material moisture into informative parameters of the microwave field. Such informative parameters of a material include structural inhomogeneities, non-uniform moisture distribution throughout the volume and by the forms of moisture bonding, density, temperature, and mass. The influence of material inhomogeneities during moisture measurements in an enclosed volume on the errors of primary measuring transducers is investigated, along with the errors accompanying the conversion of moisture into the dielectric characteristics of the material and the conversion of dielectric characteristics into informative parameters of the microwave field. A …

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Instrument Response Functions Of The Antarctic Demonstrator For The Advanced Particle-Astrophysics Telescope (Adapt), Wenlei Chen, James H. Buckley, Marion Sudvarg Dec 2025

Instrument Response Functions Of The Antarctic Demonstrator For The Advanced Particle-Astrophysics Telescope (Adapt), Wenlei Chen, James H. Buckley, Marion Sudvarg

Computer Science Faculty Research & Creative Works

The Antarctic Demonstrator for the Advanced Particle-astrophysics Telescope (ADAPT) gamma-ray/cosmic-ray instrument serves as a precursor to the proposed APT mission. The APT mission is designed to improve sensitivity in the MeV-TeV gamma-ray range by an order of magnitude compared to current missions and is optimized for dark-matter and multimessenger research. The ADAPT instrument uses scintillating fibers for particle tracking and sodium-doped cesium iodide (CsI:Na) tiles read out with wavelength shifting (WLS) fibers for imaging, with solid-state silicon photomultipliers (SiPMs) for calorimetry. It includes four layers of imaging calorimeter detectors and scintillating-fiber trackers, functioning both as a Compton and Pair telescope …

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Performance Modeling And Improvements On The Grb Source Localization Streaming Pipeline Aboard The Antarctic Demonstrator For The Advanced Particle-Astrophysics Telescope (Adapt), Ye Htet, Ye Htet, Marion Sudvarg, Marion Sudvarg, Honghao Yang, Jeremy Buhler, Roger Chamberlain, Wenlei Chen, Wenlei Chen, James Buckley, Matthew Andrew, Blake Bal, Elisabetta E. Bissaldi, Richard G. Bose, Dana Braun, James H. Buckley, Jeremy Buhler, Eric Burns Dec 2025

Performance Modeling And Improvements On The Grb Source Localization Streaming Pipeline Aboard The Antarctic Demonstrator For The Advanced Particle-Astrophysics Telescope (Adapt), Ye Htet, Ye Htet, Marion Sudvarg, Marion Sudvarg, Honghao Yang, Jeremy Buhler, Roger Chamberlain, Wenlei Chen, Wenlei Chen, James Buckley, Matthew Andrew, Blake Bal, Elisabetta E. Bissaldi, Richard G. Bose, Dana Braun, James H. Buckley, Jeremy Buhler, Eric Burns

Computer Science Faculty Research & Creative Works

The Advanced Particle-astrophysics Telescope (APT) is a mission concept for a space-based gamma-ray telescope whose capabilities include prompt localization of gamma-ray bursts (GRBs) to support multi-wavelength and multi-messenger astrophysics. ADAPT — APT's balloon-borne prototype — can localize GRBs in well under a second using on-board computing hardware. ADAPT will partner with ground-based, fast-slewing optical telescopes, rapidly providing alerts that enable the partner to observe a short-duration burst within a few seconds of detection. In this work, we investigate the utility of having ADAPT issue progressively more accurate location estimates for a GRB as detected Compton events from the burst accumulate …

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Fpga-Based Data Processing Using High-Level Synthesis On The Antarctic Demonstrator For The Advanced Particle-Astrophysics Telescope (Adapt), Marion Sudvarg, Marion Sudvarg, Longhao Huang, Boran Yang, Blake Bal, Roger Chamberlain, Jeremy Buhler, Leonardo Di Venere, Leonardo Di Venere, Davide Serini, James Buckley, Matthew Andrew, Blake Bal, Elisabetta E. Bissaldi, Richard G. Bose, Dana Braun, James H. Buckley, Jeremy Buhler Dec 2025

Fpga-Based Data Processing Using High-Level Synthesis On The Antarctic Demonstrator For The Advanced Particle-Astrophysics Telescope (Adapt), Marion Sudvarg, Marion Sudvarg, Longhao Huang, Boran Yang, Blake Bal, Roger Chamberlain, Jeremy Buhler, Leonardo Di Venere, Leonardo Di Venere, Davide Serini, James Buckley, Matthew Andrew, Blake Bal, Elisabetta E. Bissaldi, Richard G. Bose, Dana Braun, James H. Buckley, Jeremy Buhler

Computer Science Faculty Research & Creative Works

FPGAs are widely deployed on high-energy astrophysics telescopes to read out sensor data from front-end electronics. To support continuous data streams or high trigger rates, FPGA logic may be employed to process raw sensor readout values, reducing the volume of data transmitted, processed, and stored by downstream CPU-based computational platforms. Across instruments, these FPGA-based processing pipelines often have similar semantics and share common stages. However, diverse telescope designs require unique implementations of the constituent algorithms, and the logic is often rewritten from scratch for a new instrument. Writing, simulating, and debugging firmware is difficult and time consuming. However, High-Level Synthesis …

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Low-Carbon Green Hydrogen Strategies For Sustainable Development In Senegal: A Wind Energy Perspective, Astou Sarr, Mamadou Simina Dramé, Serigne Abdoul Aziz Niang, Abdoulkader Ibrahim Idriss, Haitham Saad Mohamed Ramadan, Ali Ahmat Younous, Kharouna Talla, John Robert Bagarino, Marissa Jasper, Ismaila Diallo Dec 2025

Low-Carbon Green Hydrogen Strategies For Sustainable Development In Senegal: A Wind Energy Perspective, Astou Sarr, Mamadou Simina Dramé, Serigne Abdoul Aziz Niang, Abdoulkader Ibrahim Idriss, Haitham Saad Mohamed Ramadan, Ali Ahmat Younous, Kharouna Talla, John Robert Bagarino, Marissa Jasper, Ismaila Diallo

Faculty Research, Scholarly, and Creative Activity

This study presents the first comprehensive techno-economic assessment of wind-based green hydrogen production across Senegal, a country highly dependent on fossil fuel imports. Using a novel integrated approach combining 30 years of ERA5 reanalysis data (1993–2023), turbine performance modeling and electrolyzer comparison, it fills an important gap for renewable hydrogen development in West Africa. Wind resources were analyzed at multiple altitudes, revealing strong potential in both coastal and northeastern regions, particularly during the dry season, with higher wind speeds at higher turbine heights. Four turbines (Vestas_150, Goldwind_155, Vestas_126 and Nordex_N100) and two electrolyzer types (alkaline and PEM) were evaluated. The …

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Women As Drivers Of Philippine Rural Development: Analyzing The Role Of Women’S Employment In Shaping Regional Poverty Dynamics And Human Development Using Seemingly Unrelated Regression, Celso G. Tan Jr. Dec 2025

Women As Drivers Of Philippine Rural Development: Analyzing The Role Of Women’S Employment In Shaping Regional Poverty Dynamics And Human Development Using Seemingly Unrelated Regression, Celso G. Tan Jr.

Social Sciences and Development Review

This research examines the impact of women’s employment on poverty dynamics and human development in the rural regions of the Philippines. Despite progress in gender equality legislation, women’s participation in the labor force remains constrained by traditional gender roles, cultural expectations, and institutional barriers. Anchored in Social Role Theory and Gender Schema Theory, the study examines how these frameworks influence women’s labor market outcomes and socioeconomic contributions. Using panel data from 16 rural regions between 2018 and 2023, the research employs Pearson Correlation and Seemingly Unrelated Regression (SUR) to examine the relationships among women’s labor force participation rate (WLFPR), number …

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The Analysis Of Non-Newtonian Blood Flow Through An Atherosclerotic Artery In The Presence Of Body Acceleration, Radiation Effect And Magnetic Field, Johnson N. Katabwa Dec 2025

The Analysis Of Non-Newtonian Blood Flow Through An Atherosclerotic Artery In The Presence Of Body Acceleration, Radiation Effect And Magnetic Field, Johnson N. Katabwa

Tanzania Journal of Science

The unsteady analysis of two-dimensional laminar flow of the non-Newtonian blood through an atherosclerotic artery in the presence of body acceleration, radiation effect and magnetic field has been studied. The blood flow has been assumed to satisfy the Herschel-Bulkley fluid model characteristics. The two- dimensional model equations have been developed from the physical laws of continuity, momentum and energy conservation. These equations are transformed to non-dimensional form and solved numerically using explicit finite difference method under suitable radial coordinate transformation. The study findings show that, the presence of body acceleration increases both velocity and temperature profiles of the blood in …

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Adaptive Energy-Aware Communication For Healthcare Iot Systems: A Simulation-Based Approach, Huthaifa Ayad Al-Ani Dec 2025

Adaptive Energy-Aware Communication For Healthcare Iot Systems: A Simulation-Based Approach, Huthaifa Ayad Al-Ani

Al-Farahidi Expert Systems Journal

Healthcare Internet of Things (HIoT) systems play a pivotal role in continuous patient monitoring, yet they face persistent challenges related to limited energy capacity and strict latency requirements. This study proposes an adaptive, energy-aware communication strategy for HIoT devices that minimizes energy consumption while ensuring rapid data delivery during critical health events. Using the publicly available UCI Smart Heart Monitoring System dataset (2,200 real patient records), a Python 3.11-based simulation framework was developed utilizing NumPy, Pandas, and Matplotlib libraries. The proposed adaptive transmission model dynamically adjusts data transmission frequency in response to real-time physiological states and is directly compared with …

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An Efficient Forecasting Tool Using Machine Learning In Optimal Power Flow: A Case Study Of Iraqi Weather, Haider Jouma Touma, Muhamad Mansor Dec 2025

An Efficient Forecasting Tool Using Machine Learning In Optimal Power Flow: A Case Study Of Iraqi Weather, Haider Jouma Touma, Muhamad Mansor

Al-Farahidi Expert Systems Journal

In the electricity sector, the hasty precise decisions must be taken by grids operators to guarantee a sufficient level of system`s resilience during various contingencies. In practice, the optimal power flow (OPF) is a substantial monitoring and assessment tool to meet invulnerable operation measures. This article examines an optimal power flow for the day ahead, considering the intermittent nature of renewable energy sources (RES) influenced by weather conditions. It incorporates machine learning into power system operations to accurately forecast the meteorological data (such as temperature, and solar irradiance) that directly impact the power output from solar photovoltaic generators. This enables …

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