Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network™

Open Access. Powered by Scholars. Published by Universities.®

2025

Discipline
Institution
Keyword
Publication
Publication Type
File Type

Articles 1711 - 1740 of 156692

Full-Text Articles in Entire DC Network

Twas-Ctl: A Robust And Efficient Method For Multi-Tissue Transcriptome-Wide Association Studies Using Cross-Tissue Learners, Md Mutasim Billah, Hairong Wei, Fengzhu Sun, Kui Zhang Dec 2025

Twas-Ctl: A Robust And Efficient Method For Multi-Tissue Transcriptome-Wide Association Studies Using Cross-Tissue Learners, Md Mutasim Billah, Hairong Wei, Fengzhu Sun, Kui Zhang

Michigan Tech Publications

The advent of transcriptome-wide association studies (TWAS) has expanded the classical genome-wide association study (GWAS) framework by integrating gene expression with genetic variation to identify trait-associated variants. While multi-tissue TWAS approaches improve statistical power over single-tissue models, existing methods often lose information during result aggregation and require intensive computation. Here, we present TWAS-CTL (Cross-Tissue Learner), a novel framework that leverages heterogeneous gene expression across tissues by adaptively reweighting and optimizing multiple single-tissue learners. Simulations demonstrate that TWAS-CTL achieves higher statistical power than the leading method, UTMOST, while maintaining proper type I error control and reducing computational time by over half. …

Go to article

Virtually Present In The Vastness: Vr’S Pathway To Awe And Appreciation, David Paul Peters Dec 2025

Virtually Present In The Vastness: Vr’S Pathway To Awe And Appreciation, David Paul Peters

Dissertations - ALL

This dissertation explores how spatial presence in Virtual Reality (VR) creates awe and appreciation through the role of perceived vastness. 92 participants played a custom-built VR game (VR Nature Photographer) in three environments designed to be low, medium, and high in vastness. A repeated-measures design measured spatial presence, vastness, awe, and appreciation across conditions. Results showed higher vastness increased all four outcomes, with awe and vastness having the largest effect sizes and presence and appreciation medium sized. Mediation analyses showed perceived vastness fully mediated the effect of spatial presence on awe in all vastness conditions and partially mediated its effect …

Go to article

Building Bridges: Industrial Trade Unions In A Changing Climate, Nicole Möller Dec 2025

Building Bridges: Industrial Trade Unions In A Changing Climate, Nicole Möller

Dissertations - ALL

This dissertation examines how German industrial trade unions and workers in the automobile and coal industries navigate the profound challenges of the green transition. Workers’ experiences are situated within a broader political-economic context shaped partly by market-led decarbonization efforts, welfare retrenchment/austerity, erosion of progressive institutions in society, and global competition, as well as a global restructuring of value accumulation. The analysis critically engages with unions’ current responses to a market-led transition and their implications for labor’s future. The dissertation develops its argument across three empirical chapters. Chapter 2 investigates workplace-level changes in coal mining and automobile production, analyzing how workers …

Go to article

Effects Of Π-Rich Solvents And Nickel And Cobalt Dopants On The Synthesis And Properties Of Cesium Lead Halide Nanocrystals, Tsung-Hsing Chiang Dec 2025

Effects Of Π-Rich Solvents And Nickel And Cobalt Dopants On The Synthesis And Properties Of Cesium Lead Halide Nanocrystals, Tsung-Hsing Chiang

Dissertations - ALL

Colloidal semiconductor nanocrystals feature unique properties like quantum confinement, tunable band gaps, and high surface-to-volume ratio; and have been proven as prominent materials in applications such as light-emitting diodes, sensors, lasers, solar cells, etc. Optoelectronic properties of semiconductor nanocrystals are highly associated with their sizes, morphologies, and compositions. Understanding the growth mechanism can lead to the ability to control the size, morphology, and composition of nanocrystals. In this thesis, growth and b-site doping of perovskite, cesium lead halide (CsPbX3), nanocrystals are discussed. Solvent effects in the growth of cesium lead bromide were first investigated from the aspect of plumbates in …

Go to article

Minimal Lp-Mean Distortion Maps Between Embedded Tori, Adam Krause Dec 2025

Minimal Lp-Mean Distortion Maps Between Embedded Tori, Adam Krause

Dissertations - ALL

In this dissertation, we are interested in a study of the minimizers to the $L^p$-mean distortion among Sobolev homeomorphisms $f:\mathbb T_*\to \mathbb T$ of finite distortion between embedded tori $\mathbb T = \mathbb T(R,r), \mathbb T_* = \mathbb T(R_*,r_*)$. For such mappings, the $L^p$-mean distortion for $1\le p < \infty$ is defined as \[ \int_{\mathbb T_*} K_f^p. \] We will show that the minimizer within a specific homotopy class to the $L^p$-mean distortion between embedded tori always exists. We will use free Lagrangians, whose integral only depends on the homotopy type of the function.

Go to article

3d Point Cloud Analysis With Classification, Segmentation And Few-Shot Learning, Jiajing Chen Dec 2025

3d Point Cloud Analysis With Classification, Segmentation And Few-Shot Learning, Jiajing Chen

Dissertations - ALL

Deep learning for 3D point cloud analysis has made significant progress, yet several critical challenges, including the following, remain underexplored: (1) traditional max-pooling operations discard a substantial portion of learned features, resulting in information loss and inefficient use of computational resources; (2) existing few-shot point cloud classification models lack robustness when faced with occlusion, missing points, and limited training data; (3) semantic segmentation methods often fail to fully exploit background–foreground interactions, leading to reduced accuracy. Moreover, in domains such as gait recognition and visual program synthesis, research has been largely dominated by 2D-based approaches, leaving the potential of point cloud …

Go to article

Robust Security Assurance In Cyber-Physical Systems: From Attack Diagnosis To Attack Resilience, Zifan Wang Dec 2025

Robust Security Assurance In Cyber-Physical Systems: From Attack Diagnosis To Attack Resilience, Zifan Wang

Dissertations - ALL

Cyber-Physical Systems (CPS) have become integral to critical infrastructure, from autonomous vehicles to industrial control systems. However, their increased connectivity and sophistication introduce new vulnerabilities, making security a paramount concern. This dissertation presents a comprehensive pipeline for enhancing CPS security, focusing on accurate diagnosis of trustworthy time frames and subsystems, followed by system resilience measures to restore safe states. The foundation of system resilience lies in an advanced checkpointing protocol for real-time multi-process systems. A novel three-step approach uniquely addresses both logical and timing correctness, which are crucial for modern CPS applications. By partitioning processes into directed acyclic graphs, implementing …

Go to article

Model Inference And Sparse Network Analysis: Machine Learning In The Gene Regulatory Network Framework, Youchuan Wang Dec 2025

Model Inference And Sparse Network Analysis: Machine Learning In The Gene Regulatory Network Framework, Youchuan Wang

Dissertations - ALL

This thesis explores sparse network inference from high-dimensional, noisy, and underdetermined data—a fundamental challenge in many scientific domains. We focus on the development of evolutionary computation methods for discovering underlying network structures that are both interpretable and biologically plausible. Our methods are applied to the domain of Gene Regulatory Network (GRN) inference, where sparsity, indirect interactions, and limited observations pose significant hurdles. The framework models both steady-state and time-series gene expression data, with particular emphasis on biological sparsity and regulatory dynamics. We approach the problem from three perspectives: (1) edge-level analysis using transitive reduction to distinguish direct from indirect regulation; …

Go to article

Enzyme Active Bath Affects Protein Condensation, Kevin Ching Dec 2025

Enzyme Active Bath Affects Protein Condensation, Kevin Ching

Dissertations - ALL

The idea that the activity of an active bath can act as an effective temperature and alter system behavior has been theorized and demonstrated for micron-scale systems, but it has not yet been shown for nanoscale systems. Previous studies have suggested that, although passive and active systems can be combined at the nanoscale, activity from the active system typically disrupts and destroys the passive system. In this work, I attempt to create an enzyme-driven active bath to control the liquid–liquid phase separation (LLPS) and condensation of a protein. I find that enzymatic activity enhances phase separation, effectively driving the LLPS …

Go to article

Microtubule Self-Organization With Active And Passive Crosslinkers, Prashali Chauhan Dec 2025

Microtubule Self-Organization With Active And Passive Crosslinkers, Prashali Chauhan

Dissertations - ALL

Humans have always been trying to unravel principles that guide how things around us function, all the way from galactic ovements to basic building blocks of matter. The physical and chemical properties of ‘biological’ systems govern processes all the way from molecular interactions of proteins to the form and function of individual living organisms. In this work, I focus on the proteins which help give shape and structure to the smallest building block of life, the cell and associated mechanisms of building fundamental cellular architectures, like the mitotic spindle. Mitosis takes place by microtubules aligning themselves in anti-parallel fashion with …

Go to article

Machine-Learning Classification Of Gamma-Producing Neutral Current Interactions In Liquid Argon From A Supernova Neutrino Burst, Sierra Thomas Dec 2025

Machine-Learning Classification Of Gamma-Producing Neutral Current Interactions In Liquid Argon From A Supernova Neutrino Burst, Sierra Thomas

Dissertations - ALL

With five core-collapse supernova candidates within 1 kiloparsec from Earth, extracting information from the neutrino flux will be important to understanding the explosion mechanism of the star (and its composition). The Deep Underground Neutrino Experiment, (DUNE), will be capable of detecting neutrinos from supernovae, primarily from charged-current interactions due to the electron neutrino flavor. However, considering neutrino oscillations in the presence of matter (MSW effects), the muon neutrinos and tau neutrinos will be undetectable if not for the neutral current channel. About 5% of the neutral current interactions will cause the argon nucleus to excite and release a gamma ray …

Go to article

Essays On Housing Choices, Neighborhood Quality, And Urban Blight, Samuel Saltmarsh Dec 2025

Essays On Housing Choices, Neighborhood Quality, And Urban Blight, Samuel Saltmarsh

Dissertations - ALL

This dissertation contains two chapters related to housing choices of low-income families, neighborhood quality, and the remediation of urban blight. The first chapter examines the effectiveness of Detroit's 2014–2022 residential demolition program in addressing neighborhood blight and vacancy in a shrinking city context. Using a stylized model of durable housing with downward price frictions, I combine parcel-level data on vacancies, blight, and demolitions to estimate the causal effects of demolition exposure on vacancy rates for non-demolished, single-family homes. Employing a difference-in-differences design, I find that the program as a whole did not reduce vacancies, and instead slightly increased them by …

Go to article

Developing Best Practice Fabrication For Niobium Superconducting Devices, Jadrien Timothy-Henke Paustian Dec 2025

Developing Best Practice Fabrication For Niobium Superconducting Devices, Jadrien Timothy-Henke Paustian

Dissertations - ALL

Superconducting qubits are a leading platform for scalable quantum computation. This platform offers high gate speeds and can make use of readily scalable complementary metal-oxide semiconductor (CMOS) fabrication techniques. However, superconducting qubits are susceptible to a variety of losses that arise in systems with superconductors, such as due to ubiquitous two-level systems, quasiparticles, and more. Designing fabrication processes to mitigate and manage these loss sources is critical to achieving scalable quantum computation. However, many of these loss sources are set during fabrication processing, of which there can be many different steps, each with its own parameter space. Exploring this space …

Go to article

Balancing Robustness And Practicality In Model Compression, Personalization, And Healthcare Interventions, Sawinder Kaur Dec 2025

Balancing Robustness And Practicality In Model Compression, Personalization, And Healthcare Interventions, Sawinder Kaur

Dissertations - ALL

Advances in machine learning have enabled significant progress in generating robust solutions. However, designing solutions that balance robustness while meeting the practical constraints of diverse applications, such as limited resources and data, remains a challenge. We explored three key aspects of this interplay: verified robust compressed neural networks, context-wise robust personalization, and reliable counterfactual interventions for healthcare. First, we introduce VeriCompress, a novel framework to streamline the synthesis of compressed neural networks with formal guarantees of adversarial robustness. This enables the deployment of reliable and efficient models in resource-constrained environments, such as smartphones. Second, we developed CRoP (Context-wise Robust Static …

Go to article

Exploring The Chemical And Biological Foundations Of Protein Lipidation Through Functional And Computational Studies, Andrea Sprague-Getsy Dec 2025

Exploring The Chemical And Biological Foundations Of Protein Lipidation Through Functional And Computational Studies, Andrea Sprague-Getsy

Dissertations - ALL

Post-translational modifications (PTMs) are essential for the diversification of the human proteome. Prenylation is a PTM defined by the addition of a 15-carbon or 20 carbon isoprenoid group by FTase and GGTase-I, respectively, onto a cysteine near the C-terminus of proteins. This modification is the first step within the prenylation pathway where proteolysis and carboxymethylation occur afterwards, aiding in proteins localization to the cellular membrane. These prenyltransferases canonically recognize a “CaaX” box motif which has been determined through biochemical and structural studies. Recently, sequences following the C(x)3X and Cxx patterns have been shown to be prenylated as well as an …

Go to article

On Detecting Change-Points Of A Segmented Logistic Regression Model, Jingwen Li Dec 2025

On Detecting Change-Points Of A Segmented Logistic Regression Model, Jingwen Li

Dissertations - ALL

This dissertation investigates the problem of change-point detection in segmented logistic regression models, where the total number of change-points is unknown. We consider both unconstrained models, which allow discontinuities at change-points, and constrained models, which impose continuity across change-points. The central challenge is to determine the number of change-points and to accurately estimate their locations, while ensuring valid statistical inference for the associated regression coefficients. We begin by introducing a set of regularity assumptions that underlie the theoretical analysis throughout this work. For a given number of change-points, we present algorithms to estimate their locations and obtain the maximum likelihood …

Go to article

Three Essays On The Supplemental Nutrition Assistance Program (Snap): Examining External Shocks, Protective Effects, And Administrative Challenges, Hyojeong Kim Dec 2025

Three Essays On The Supplemental Nutrition Assistance Program (Snap): Examining External Shocks, Protective Effects, And Administrative Challenges, Hyojeong Kim

Dissertations - ALL

Abstract In this dissertation, I present three studies that examine how different forms of inconsistency—arising from timing disruptions, eligibility structures, and administrative churn—shape the functioning and effectiveness of the Supplemental Nutrition Assistance Program (SNAP). Although SNAP is designed to provide a reliable source of food assistance, access to benefits is not always predictable, continuous, or evenly accessible. The studies show that inconsistencies can emerge through external shocks that alter the timing of benefit delivery, through eligibility rules tied to disability determinations in other programs that may exclude self-reported disabled households from accommodations, and through administrative procedures that generate temporary interruptions …

Go to article

Optimized Beamforming And Network Slicing For Dense Urban 5g Deployments, Kwame S. Ibwe Dec 2025

Optimized Beamforming And Network Slicing For Dense Urban 5g Deployments, Kwame S. Ibwe

Tanzania Journal of Science

Optimizing beamforming and network slicing is critical for enhancing spectral efficiency, energy efficiency, and resource distribution fairness in dense urban 5G networks. This paper proposes a hybrid genetic algorithm particle swarm optimization (GA-PSO) method to jointly optimize beamforming weights, bandwidth allocation, and power distribution, balancing computational efficiency with near optimal performance. The hybrid approach uses GA for global exploration and PSO for fast convergence, overcoming the limitations of standalone heuristic and exact optimization methods. Simulation experiments in a dense urban 5G network with massive MIMO base stations show that proposed method achieves up to 15% higher spectral efficiency and 18% …

Go to article

Aquifer Distribution In Lukobe Ward, Morogoro Municipality, Tanzania: Mapped Resources For Sustainable Water Access, Kelvin K. Kayuni Dec 2025

Aquifer Distribution In Lukobe Ward, Morogoro Municipality, Tanzania: Mapped Resources For Sustainable Water Access, Kelvin K. Kayuni

Tanzania Journal of Science

In response to the ongoing challenges posed by the scarcity of reliable fresh-water sources in Lukobe Ward, Morogoro Municipality, Tanzania, this study applied an integrated approach that combines geospatial and geophysical datasets to identify previously undocumented aquifers. The datasets utilized include an apparent density map generated from high-resolution GGMPlus satellite gravity data, a geological map (Quarter Degree Sheet 183), a water drainage map, and a slope map created from a digital elevation model (DEM). The analysis successfully identified four unconfined, saprolitic aquifers in the study area, designated as aquifers A, B, C, and D. These aquifers span areas of 12.2 …

Go to article

Synergistic Use Of Sentinel-1 And Sentinel-2 Data For Mapping Of Degradation In Coastal Forests And Miombo Woodlands Of Tanzania, Daria C. Kimaro Dec 2025

Synergistic Use Of Sentinel-1 And Sentinel-2 Data For Mapping Of Degradation In Coastal Forests And Miombo Woodlands Of Tanzania, Daria C. Kimaro

Tanzania Journal of Science

Forest degradation is one of the leading sources of carbon emission globally. In Africa, particularly in Tanzania, forest degradation is driven by selective logging and forest fires. Monitoring degradation over large areas is very challenging due to the lack of accurate and reliable methods. This study assessed degradation in miombo woodlands and coastal forests using a synergy of remotely sensed data acquired from sentinel-1 and sentinel-2 achieved by integrating their complementary strength where sentinel-1 enhanced detection of structural changes and sentinel-2 provided spectral insight into vegetation. The 3I3D, unsupervised algorithm analysing trends for three vegetation indices (3I) in a three-dimensional …

Go to article

Antioxidant And Anti-Inflammatory Effects Of Blighia Unijugata Baker Aril Protein-Rich Extract, Oludele O. Odekanyin, Ifeoluwa M. Adepoju, Tolulope A. Anjorin, Oluwatobi S. Adekoya Dec 2025

Antioxidant And Anti-Inflammatory Effects Of Blighia Unijugata Baker Aril Protein-Rich Extract, Oludele O. Odekanyin, Ifeoluwa M. Adepoju, Tolulope A. Anjorin, Oluwatobi S. Adekoya

Tanzania Journal of Science

The study investigated the in vitro oxidative-stress-mitigating effect and anti- inflammatory potential of the soluble protein of the arils of Blighia unijugata in order to establish possible use in inflammatory therapy. Air-dried Blighia unijugata aril was pulverized into powder, defatted using petroleum ether, and homogenized in Phosphate Buffer Saline. The homogenate was centrifuged, and the supernatant was subjected to ammonium sulphate fractionation. The precipitate was thoroughly dialyzed, dialysate was freeze-dried, and termed partially purified Blighia unijugata aril protein extract (ppBUAPE). The antioxidant potential of the protein-rich extract was investigated using DPPH, H2O2 scavenging activity, and FRAP. The ability of ppBUAPE …

Go to article

Enterobacteriaceae Contamination In Locally Packaged Roasted Cashew Kernels From The Coast And Morogoro Regions, Tanzania, Douglas Mushi, Silvia Francis Materu Dec 2025

Enterobacteriaceae Contamination In Locally Packaged Roasted Cashew Kernels From The Coast And Morogoro Regions, Tanzania, Douglas Mushi, Silvia Francis Materu

Tanzania Journal of Science

The increased sales of locally packaged roasted cashew kernels (RCK) in Tanzania reflect growing consumer demand for healthy, convenient snacks. Despite this popularity and frequently reported cases of gastrointestinal illness, the microbial safety of these plastic- bagged products is not well-documented, posing a potential public health concern. To address this, a study was performed to evaluate packaging hygiene, package integrity, and microbial contamination of randomly selected packages of RCK (small: n=99; medium: n=87; large: n=118) from vendors in Coast and Morogoro regions, Tanzania. Package integrity was assessed using a vacuum decay leak tester while microbial contamination on surfaces including RCK, …

Go to article

Molecular Evidence For Presence Of Manihot Esculenta Associated Virus 1: Cg-Nmb And/Or Cg-Kah Isolates In Coast, Tanzania: A Threat To Cassava Production, Herieth R. Mero Dec 2025

Molecular Evidence For Presence Of Manihot Esculenta Associated Virus 1: Cg-Nmb And/Or Cg-Kah Isolates In Coast, Tanzania: A Threat To Cassava Production, Herieth R. Mero

Tanzania Journal of Science

Genetic diversity of Manihot esculenta associated virus type 1 (MEaV-1) species suspected to cause the most destructive Brown Streak of Cassava (CBSD) in Tanzania, has remained elusive since the year 2020 when MY-6mb-4 virus isolate was first identified in Chambezi, Coast region. In this study, two additional isolates (CG-Nmb and CG-Kah) of the MEaV-1 species were characterized in the same area after screening leaf samples collected from 292 Kiroba, 12 Albert and 22 Kikombe varieties of cassava using a Reverse Transcription Polymerase Chain Reaction (RT- PCR) assay. One half of the leaf samples collected from each of the three varieties …

Go to article

Exploring Bacterial Diversity In Seagrass Meadow Of Thalassia Hemprichii And Syringodium Isoetifolium From Tanzania’S Coast, Lucy D. Mbusi, Thomas J. Lyimo, Sylvester L. Lyantagaye Dec 2025

Exploring Bacterial Diversity In Seagrass Meadow Of Thalassia Hemprichii And Syringodium Isoetifolium From Tanzania’S Coast, Lucy D. Mbusi, Thomas J. Lyimo, Sylvester L. Lyantagaye

Tanzania Journal of Science

Seagrasses are highly productive coastal ecosystems that harbor diverse bacterial communities, including both culturable and unculturable taxa. These bacteria play vital roles in ecological, biogeochemical, and biotechnological processes. In this study, a metagenomic approach using Pacific Biosciences next-generation sequencing was employed to investigate bacterial diversity associated with Thalassia hemprichii and Syringodium isoetifolium collected from the Mjimwema coast, Dar es Salaam, Tanzania. Results revealed that T. hemprichii supported greater bacterial species diversity (117 OTUs) compared to S. isoetifolium (109 OTUs). Among plant compartments, roots harbored the highest diversity, followed by rhizosphere sediment and leaves. The phylum Proteobacteria dominated across all samples …

Go to article

Simulation Based Model For Canine Distemper Virus In Prey-Predator Dynamics, Mussa A. Stephano Dec 2025

Simulation Based Model For Canine Distemper Virus In Prey-Predator Dynamics, Mussa A. Stephano

Tanzania Journal of Science

This study investigates the dynamic interactions of a prey-predator ecosystem infected with Canine Distemper Virus (CDV), focusing on predation and disease transmission. A deterministic model, coupled with Monte Carlo simulations (MCS), employed to capture both stochastic variability and environmental fluctuations. The findings indicate that classical prey-predator cycles provide the baseline for population dynamics, but the introduction of CDV and environmental noise fundamentally alters system behavior. Initially, populations exhibit oscillations that gradually stabilize into dynamic equilibria. However, the disease persists within both prey and predator populations, suggesting endemicity rather than extinction. Predation plays a dual role in disease dynamics, while it …

Go to article

Mathematical Modeling Of Awareness-Driven Interventions For Gender-Based Violence Control In A Closed Population, Furaha M. Chuma, Edward K. Ngailo, Zubeda S. Mussa Dec 2025

Mathematical Modeling Of Awareness-Driven Interventions For Gender-Based Violence Control In A Closed Population, Furaha M. Chuma, Edward K. Ngailo, Zubeda S. Mussa

Tanzania Journal of Science

Gender-based violence (GBV) remains a critical global health issue with profound social, economic, and psychological implications. Despite concerted efforts to address this challenge, traditional intervention approaches often fall short of effectively mitigating its prevalence. In recent years, there has been growing recognition of the potential impact of awareness-based interventions in addressing various social and health crises. This paper introduces a modeling framework to explore the efficacy of awareness-based interventions in influencing the dynamics of the GBV epidemic within a closed population. A detailed sensitivity analysis, utilizing a normalized sensitivity index method, reveals that the violence transfer rate between perpetrators and …

Go to article

Modelling The Impact Of Multiple Control Strategies On The Spread Of Phyllody Disease In Sesame, Augustino I. Msigwa, Furaha M. Chuma Dec 2025

Modelling The Impact Of Multiple Control Strategies On The Spread Of Phyllody Disease In Sesame, Augustino I. Msigwa, Furaha M. Chuma

Tanzania Journal of Science

Phyllody disease, caused by phytoplasma and transmitted by insect vectors such as leafhoppers, poses a serious threat to the productivity of sesame (Sesamum indicum) as it has caused substantial yield and oil-quality losses worldwide, with documented seed-yield reductions ranging from 38% to as high as 80% in severe outbreaks, particularly in Africa and India. Understanding phyllody dynamics is therefore critical to safeguard yields and trade. While some modeling efforts exist for sesame phyllody (for example, statistical and prediction-focused approaches), mechanistic transmission models (SEIR) assessing its full impact remain scarce. This study therefore develops and analyses impact of multiple control strategies …

Go to article

Modeling And Forecasting Wholesale Gasoline Prices In Tanzania Using Arima And Neural Network Autoregressive Models, Thadei D. Sagamiko, Edward K. Ngailo Dec 2025

Modeling And Forecasting Wholesale Gasoline Prices In Tanzania Using Arima And Neural Network Autoregressive Models, Thadei D. Sagamiko, Edward K. Ngailo

Tanzania Journal of Science

Fluctuations in wholesale gasoline prices significantly impact the economy of import-dependent countries like Tanzania, making accurate forecasting essential for policymakers and market participants. This study forecasts monthly wholesale gasoline prices in Dar es Salaam by comparing the Autoregressive Integrated Moving Average (ARIMA) model with a Neural Network Autoregressive (NNAR) model. Using data from January 2015 to December 2024 from the Energy and Water Utilities Regulatory Authority (EWURA), the models were evaluated. The ARIMA(1,1,1) model was identified as the best-fitting linear model, but the NNAR(11,7) model demonstrated superior accuracy. On the holdout test set, the NNAR model achieved a lower Mean …

Go to article

Variations In Physicochemical Properties, Microbiological Profiles, And Nutrient Dynamics In The Temi River, Arusha, Tanzania: Sources And Implications, Aldo J. Kitalika Dec 2025

Variations In Physicochemical Properties, Microbiological Profiles, And Nutrient Dynamics In The Temi River, Arusha, Tanzania: Sources And Implications, Aldo J. Kitalika

Tanzania Journal of Science

This study thoroughly investigates the physicochemical properties, microbiological profiles, and nutrient dynamics of the Temi River in Tanzania. The sources and implications of fluctuations in dissolved organic carbon (DOC) and nutrients during the wet and dry seasons are carefully analysed. Water samples were collected from various geographically referenced points along the river, and analyses were performed using the APHA Standard Methods for Water and Wastewater Testing. The results show that most parameters increased downstream in both seasons, with the highest DOC levels reaching 352.11 mg/L in the wet season, followed by a significant decrease to 126.00 mg/L during the dry …

Go to article

Mapping Research Trends On Mental Health Literacy Among University Students: A Bibliometric Systematic Review, Eko Pramudya Laksana, Muslihati Muslihati, Arbin Janu Setiyowati, Salsabila Kholifahtun Nisa, Muhammad Nur Hudha, Margaret Kehinde Soetan Dec 2025

Mapping Research Trends On Mental Health Literacy Among University Students: A Bibliometric Systematic Review, Eko Pramudya Laksana, Muslihati Muslihati, Arbin Janu Setiyowati, Salsabila Kholifahtun Nisa, Muhammad Nur Hudha, Margaret Kehinde Soetan

Jurnal Kajian Bimbingan dan Konseling

Mental health is a global issue that has received increasing attention, particularly among university students. Mental health literacy (MHL) is an important factor in promoting students' psychological well-being through knowledge, attitudes, and the ability to recognize and address mental health problems. This study aims to map the developmental trends of MHL research among university students in order to provide a comprehensive overview of the direction and focus of studies in this field. This research employed a bibliometric literature review approach by analyzing 48 journal articles indexed in the Scopus database and published between 2021 and 2025. The findings indicate that …

Go to article

First Prev Next Last