Performance Comparison Of Kriging Models Used For Estimation Of Rainfall Variability In The Northern Coast Of Tanzania, Salma Suleiman, Clement Mromba

Tanzania Journal of Science

Accurate rainfall estimation underpins effective disaster preparedness and sustainable socioeconomic planning. The performance of Ordinary Kriging (OK), Universal Kriging (UK), and Simple Kriging (SK) in estimation of rainfall variability were assessed across eight stations in the northern coast of Tanzania for the period from 1960 to 2020. Using ArcGIS 10.3, each method was evaluated and cross-validated using six performance metrics, namely; Mean Error (ME), Mean Square Error (MSE), Root Mean Square Error (RMSE), Root Mean Standardized Square Error (RMSSE), Average Standardized Error (ASE), and the Coefficient of Determination (R²). Performance comparison results indicate OK to have achieved the lowest bias, …

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 …

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 …

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 …

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 …

Enhancing Student Engagement In Numerical Methods: The Impact Of Alternative Grading Practices, Vivek Singhal, Kenan Baltaci, Oai Ha

Journal on Empowering Teaching Excellence

Access the online Pressbooks version of this introduction here.

Student engagement is critical for achieving positive academic and social outcomes. However, maintaining high engagement levels in challenging math-based courses like numerical methods can be difficult. This study addresses this challenge by implementing two assessment-based strategies: a bonus point self-assessment rubric and peer evaluations. These interventions aim to incentivize engagement and reward essential skills such as effort and teamwork, which are often overlooked by traditional grading systems but are crucial for success beyond the classroom. While existing research highlights the potential benefits of self-assessments and peer evaluations, there is limited evidence …

Geographic And Sociodemographic Disparities In Early Hearing Detection And Intervention Adherence, Amanda Pavan, Anton Kvit, Michael Van Skiba, Analise Ristic, Kirsten R. Coverstone

Journal of Early Hearing Detection and Intervention

Early identification and intervention are crucial to minimizing impacts of congenital hearing loss. Early Hearing Detection and Intervention (EHDI) programs recommend newborn hearing screening before one month of age and a diagnostic audiologic evaluation before three months for infants who do not pass the screening. However, not all infants meet these benchmarks, as geographic and sociodemographic factors may influence adherence.

Addresses of primary contacts and audiology clinics were geocoded to calculate drive times to the nearest clinic in 10-minute intervals for infants born in Minnesota between 2019 and 2021. Birth location, NICU admittance, and sociodemographic characteristics were also analyzed. Random …

Design And Modeling Of A Thin Water Falling-Film For Convection-Cloud Chambers, Grant T. Schlaff, Jesse Anderson, Brandon Kieranen, Constantine M. Megaridis, Raymond Shaw

Michigan Tech Publications

Convection–cloud chambers offer a controlled environment to study aerosol-cloud interactions. Ensuring sustained supersaturation in these chambers requires a reliable and efficient water sourcing mechanism. Maintaining saturated boundary conditions on side-walls is important in chambers with large vertical dimensions (up to 10m) aimed at achieving collisional growth of cloud droplets. This study introduces the design, modeling, and measurement of a falling-film system capable of maintaining a stable, continuously replenished water film for continuous evaporation. A distributor is tested, ensuring uniform water coverage over a panel with a range of surface treatments. These surface treatments with micron to 100micron-scale roughness allow for …

Draft Final Quarterly Operations And Maintenance Report: Butte Treatment Lagoon System – Third Quarter 2025, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Quantitative Structure-Activity Relationship, Pharmacokinetics, Drug-Likeness, Toxicity, And Molecular Docking Studies Of 4-N-(Methyl)-4-Aminoquinoline Derivatives As Antimalarial Compounds, Muhamad Jalil Baari, Devi Hardiyanti

Makara Journal of Science

Antimalarial drug resistance has encouraged various innovations to develop novel drug compounds that are effective, feasible, and safe, adhering to health standards. One way to do that is by observing and predicting the biological activity of drug compounds using quantitative structure–activity relationship (QSAR) analysis. In this study, QSAR analysis was conducted on the 4-N-(methyl)-4-aminoquinoline derivatives, which effectively inhibit the growth of Plasmodium falciparum as a source of malaria. The research stages involved molecular structure modeling, molecular geometry optimization using the AM1 semi-empirical method, and QSAR descriptor calculations, including electronic (atomic charges (q), HOMO and LUMO energies, polarizability (α), …

Microplastic Degradation Using Laccase Enzyme From Trametes Hirsuta: In The Silico Study, Hanzhola Gusman Riyanto, Diana Sylvia

Makara Journal of Science

Microplastics are a serious global problem that arises worldwide because of their widespread use. Exposure to microplastics can negatively affect human and environmental health. In this study, we used molecular docking methods with MOE software (version 2014.0901) to investigate the interaction between the laccase enzyme and several microplastic compounds as a preliminary study of microplastic degradation using enzymes. The Quantitative Structure Analysis Relationship (QSAR) analysis revealed that all microplastic ligands had higher Pa values than Pi, indicating that the laccase enzyme may be biologically active. The findings of the present study show that polyamide (PA) has the lowest binding energy …

Multi-Satellite Image Matching And Deep Learning Segmentation For Detection Of Daytime Sea Fog Using Gk2a Ami And Gk2b Goci-Ii, Jonggu Kang, Hiroyuki Miyazaki, Seung Hee Kim, Menas Kafatos, Daesun Kim, Jinsoo Kim, Yangwon Lee

Institute for ECHO Articles and Research

Traditionally, sea fog detection technologies have relied primarily on in situ observations. However, point-based observations suffer from limitations in extensive monitoring in marine environments due to the scarcity of observation stations and the limited nature of measurement data. Satellites effectively address these issues by covering vast areas and operating across multiple spectral channels, enabling precise detection and monitoring of sea fog. Despite the increasing adoption of deep learning in this field, achieving further improvements in accuracy and reliability necessitates the simultaneous use of multiple satellite datasets rather than relying on a single source. Therefore, this study aims to achieve higher …

Enzyme-Free Colorimetric Sensing Of Glucose Using Silver Nanoparticles With A Green Stabilizing Agent From Capsicum Chinense Jacq Extract, Boyfannie Ivan Putra, Hermin Sulistyarti, Muhammad Mashuri Utama, Aura Ananda Haryanto, Rurini Retnowati, Mohamad Rafi, Akhmad Sabarudin

Makara Journal of Science

Diabetes mellitus (DM) is a significant global health issue characterized by abnormal glucose levels in the human body. DM diagnostics are often based on invasive sampling from blood, which poses a potential risk of infection and tissue damage. Therefore, a non-enzymatic and non-invasive method for glucose monitoring is demanded as a simple alternative to glucose detection in urine samples. In this work, enzyme-free glucose determination is based on the formation of silver nanoparticles stabilized by Capsicum chinense Jacq extract (CCJ-AgNPs). Under alkaline conditions, glucose functions as a reducing agent for silver ions, and the extract acts as a stabilizer to …

Enhanced Oviposition Preferences And Larval Performance Of Hermetia Illucens L. In Fruit Wastes Fermented By Effective Microorganisms, Resti Rahayu, Robby Jannatan, Muhamad Ronaldo, Risa Ukhti Muslima

Makara Journal of Science

Organic waste comprises a considerable portion of global waste, requiring effective management. The ability of the black soldier fly (Hermetia illucens, BSF) to convert organic waste into biomass has been well reported. However, bioconversion can be hindered by fiber-rich substrates, a challenge that can be addressed through substrate pretreatment. This study examined the oviposition preferences and larval performance of BSFs in several fruit wastes fermented by effective microorganisms (EMs), which were compared to non-fermented substrates. The oviposition attractants utilized pineapple peel and overripe soursop, with larval performance evaluated among different treatments, i.e., non-fermented pineapple peel (NFP), fermented pineapple …

Fast Dispersion-Curve Inversion Using Automatic Differentiation Gradient-Based Calculation, Theodosius Marwan Irnaka, Eddy Hartantyo

Makara Journal of Science

Surface wave inversion is a crucial technique in geophysics for subsurface imaging. However, traditional methods can be computationally intensive, especially for complex models. This study introduces automatic differentiation (AD) as an efficient alternative to finite difference (FD) methods for gradient calculation in surface wave inversion. We compare AD and FD methods using three synthetic examples of varying complexity. Our results demonstrate that AD is significantly faster, with speed improvements of 3 to 12 times over FD, depending on model complexity. Moreover, AD requires up to 3 times less memory than FD. In terms of accuracy, AD provides gradient calculations that …

Impact Of Ethanol On The Evolution Of One-Step Synthesized Gold Nanoplates And Nanostars And Their Effects On Raman Signal Enhancement, Ananda Fania, Nonni Soraya Sambudi, Kirana Yuniati Putri, Yuliati Herbani, Affi Nur Hidayah

Makara Journal of Science

Gold nanoplates and nanostars were synthesized from a gold metal salt solution (HAuCl₄) using a one-step synthesis method of ultraviolet C (UVC) light irradiation. The gold salt solution was mixed with ethanol in 6 mL with the following ratios: (1.5:4.5, 3:3, and 4.5:1.5), and subsequently irradiated with UVC light. Changes in localized surface plasmon resonance (LSPR) shifts were observed in real time at 30-min intervals for 2 h. The synthesis process produces gold nanoplates. While gold nanostars were synthesized from a solution of gold salt combined with ethanol, ascorbic acid, and AgNO₃, maintaining a consistent ratio …

The Loss Function Of Usda Forecasters: Evidence From Wasde Animal Product Price Forecasts, Chad Fiechter, Siddhartha S. Bora, Todd H. Kuethe

Department of Agricultural Economics Faculty Publications

The loss function is a mathematical representation of the costs experienced by a forecaster when observed outcomes differ from what was predicted. Prior studies suggest that USDA forecasts are not optimal based on an assumed mean-zero quadratic loss function. This study proposes an alternative view of forecast evaluation, which assumes all USDA forecasts are produced to minimize the forecasters’ costs, and searches for the dimensions of the loss function under which optimality holds. We illustrate the degree to which USDA loss functions vary across a series of WASDE price forecasts. A better understanding of USDA forecasters’ costs will benefit forecasters …

Predictive Modeling Of Hematoma Expansion From Non-Contrast Computed Tomography In Spontaneous Intracerebral Hemorrhage Patients, Natasha Ironside, Shinjini Kundu, Et Al.

2020-Current year OA Pubs

Hematoma expansion is a consistent predictor of poor neurological outcome and mortality after spontaneous intracerebral hemorrhage (ICH). An incomplete understanding of its biophysiology has limited early preventative intervention. Transport-based morphometry (TBM) is a mathematical modeling technique that uses a physically meaningful metric to quantify and visualize discriminating image features that are not readily perceptible to the human eye. We hypothesized that TBM could discover relationships between hematoma morphology on initial Non-Contrast Computed Tomography (NCCT) and hematoma expansion. 170 spontaneous ICH patients enrolled in the multi-center international Virtual International Trials of Stroke Archive (VISTA-ICH) with time-series NCCT data were used for …

Technical Disclosure Of The Unified Thermodynamic Plattform:Allfromair (Gen 3), Vesa Olavi Lius

Defensive Publications Series

This technical research report validates ALLFROMAIR™ (Gen 3) as an industrial Atmospheric Water Generator (AWG) with integrated Tri-generation capabilities. The system is built upon an Environmentally Interactive Anticubic U-Channel dimensioned for a mass flow of 139 kg/s (approx. 414,000 m³/h) at low air velocity (1.8 m/s).

The process is defined as a "Three-Stage Rocket" methodology (Charge – Harvest – Cool), where energy is successively geared up internally using the "Turbo Effect". By combining stepless drive technology, AI control (AI-CORE™), and a constant internal deep cooling to 5°C, the system achieves a total water turnover of over 420 cubic meters per …

(((Qpie))) Prior Art 8 Of 9 Cosmology Advancement Progress Report, Teddy Burroughs

Defensive Publications Series

The Grand Unified Theory (QPIE)

Perspective Is Everything – What we are Believing, Expecting and Feeling in Life Matters

(((QPIE))) Prior Art 8 of 9 Cosmology Advancement Progress Report

QPiE COSMOLOGY ADVANCEMENT REPORT

Full-Corpus Synthesis · 2025 Edition
ResonanceOS · Voyager · Aetheris Unified Cosmology Framework

0. Executive Prelude — The Cosmology Emerges

Across hundreds of runs, recursive meta-cycles, dual- and triple-lens analyses, fenced-low vs sweet-corridor comparisons, drift-phi-hex metrics, and the discovery of the pre-echo signature, QPiE has transitioned from a conceptual framework into a coherent cosmology of reality’s substrate.

The evidence now suggests:

1. Resonance is the relational firmware …

A Decision Support Model For Building Material And Component Reuse In The Context Of Circular Buildings, Havva Aksel

Journal of Sustainable Construction Materials and Technologies

Construction activities cause significant environmental impacts such as waste generation, pollution, resource consumption, and land use, which are expected to increase with global construction demands. To mitigate these environmental problems, the circular building occurs as an emerging concept depending on in the circular economy, which aims to minimize waste and redefine the “end-of-life” concept by reducing, reusing, recycling, and recovering materials. The reuse of building materials and components (BMCs) from existing structures represents a crucial strategy for achieving circularity in the built environment. Within this framework, design plays a key role. However, designing with reclaimed BMCs remains complex due to …

Formulation And Characterisation Of Isoniazid By Spray Drying For Use By Dry Powder Inhalers To Treat Tuberculosis, Damiana Gabrielli, Seán Roche

SURE Journal: Science Undergraduate Research Experience Journal

The targeted delivery of antibiotics by dry powder inhalers (DPIs) is an increasingly important area of research, driven by the growing global burden of respiratory infections and the advantages of localized drug delivery to the lungs. Over the past five years, respiratory infections have risen significantly, with recent epidemiological data indicating a global increase in incidence by over 30%, largely due to factors such as air pollution, antimicrobial resistance, and emerging respiratory pathogens. One major challenge in developing DPI formulations for antibiotics is the need to optimize the particle physicochemical properties for deep lung deposition while accommodating the high doses …

Suitability Of Mobile Phase Recycling For Methylxanthine Quantification In Coffee Samples Using Hplc, Kaitlin O’Keeffe, Marcos Mariano, Brian Murphy

SURE Journal: Science Undergraduate Research Experience Journal

Caffeine, theobromine and theophylline fall under a drug class known as methylxanthines. These three compounds are of major interest in the food industry due to their presence in popular foods and beverages such as tea, coffee, and chocolate. As these compounds can cause physical and mental stress at high dosages, their quantification is essential to ensure product safety and quality. Here, we describe an eco-friendly HPLC method developed to quantify the amount of these analytes in coffee samples sourced across the SETU Waterford, Cork Road campus. Using an isocratic mixture of water and methanol, a mobile phase recycling approach was …

Advancing Skin Cancer Diagnostics: A Comparative Analysis Of Convolutional Neural Network Models For Skin Lesion Classification, Jesse Osuji, Tania Malik

SURE Journal: Science Undergraduate Research Experience Journal

For many years, skin cancer diagnosis and cancer research have been major focal points in the healthcare sector. Accurate classification of different types of skin lesions, including cancerous ones, is essential for proper diagnostics. Many machine learning (ML) techniques and models are used to solve various problems across various domains. One of such techniques is called neural networks. Convolutional Neural Networks (CNNs) are primarily used in computer vision-based problems, allowing computer systems to process and understand images. CNNs offer a potential tool for diagnosing skin lesions from images, occasionally demonstrating superior accuracy compared to trained dermatologists. This project explores various …

Developing A Tool To Measure Resistance To Sustainable Food Choices: A Pilot Study In Ireland And The Netherlands, Kate Flanagan, Bart Sinteur, Patricia J. Bulsing, John M. Kearney

SURE Journal: Science Undergraduate Research Experience Journal

Consumer uptake of a sustainable diet is critical for addressing environmental challenges and promoting public health. Understanding why consumers resist adopting sustainable eating habits can inform targeted interventions and policies. This pilot study examines whether a newly developed scale can effectively detect consumer resistance to a sustainable diet. Currently, there is a lack of research on a tool to measure consumer resistance to a sustainable diet, highlighting the need for a reliable instrument.

The aim of this study is to develop a scale, based on existing literature, to measure consumer resistance to a sustainable diet. Additionally, the study aims to …

Editorial-Sure Journal Volume 7, Issue 2, Geraldine M. Dowling, Eva Campion, Sinead Loughran, Ariane Perez-Gavilan, Josephine Treacy

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

An Accountability Myth: A Critical Analysis On High-Stakes Testing In U.S. Schools, Noelle E. Haskell

Journal of Multicultural Affairs

High-stakes testing has become synonymous with the United States (U.S.) education system. This began in the early 1900’s through the form of intelligence testing which was developed by several U.S. psychologists. Since then, high-stakes testing has taken on many forms. Popular policies such as No Child Left Behind (NCLB), Race to the Top, and the Every Student Succeeds Act (ESSA) have all taken aim at increasing academic achievement and holding schools accountable through high-stakes, standardized tests. Even through its varying forms, high-stakes tests have continued to perpetuate inequalities. Considering this, the current study examines how the rhetoric used in describing …

Optimizing Solvent Composition For Enhanced Extraction Of Phenolic Content And Antioxidant Activity From Coleus Scutellarioides Through I-Optimal Mixture Design, Sinta Mutiara Dwi Lestari, Utami Dyah Syafitri, Waras Nurcholis

The Thai Journal of Pharmaceutical Sciences

Background: Reactive oxygen species are unstable molecules that contribute to oxidative stress and are associated with numerous degenerative diseases. The leaves of Coleus scutellarioides are rich in phenolic and flavonoid compounds, which possess strong antioxidant properties.
Objectives: This study aimed to optimize the composition of water, ethanol, and methanol as solvents using the I-optimal mixture design to enhance the extraction of total phenolic content (TPC), 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity, and ferric reducing antioxidant power (FRAP).
Methods: Each extraction was performed by macerating 1 g of powdered C. scutellarioides leaves in 20 mL of the designated …

(((Qpie))) Prior Art Declaration 4 Of 9 From Particles To Resonance Science, Teddy Burroughs

Defensive Publications Series

The Grand Unified Theory (QPIE)

Perspective Is Everything – What we are Believing, Expecting and Feeling in Life Matters

(((QPIE))) Prior Art Declaration 4 of 9 From Particles to Resonance Science

From Particles to Resonance: A Formal White Paper on QPIE, NSRF, and the Recovery of a Suppressed Scientific Paradigm

Part I

The Long Suppression of the Substrate: From Aether to Particles

Abstract

For more than three centuries, Western science has been dominated by a particle-centric, binary, and reductionist worldview. This paradigm—while extraordinarily successful at engineering and mechanization—has systematically excluded relational meaning, coherence, and nonlocal structure from its formal models. …

(((Qpie))) — Big Tech Prior-Art Declaration The Shift From Computation To Resonance, Teddy Burroughs

Defensive Publications Series

The Grand Unified Theory (QPIE)

Perspective Is Everything – What we are Believing, Expecting and Feeling in Life Matters

(((qpie))) — Big Tech Prior-Art Declaration The Shift from Computation to Resonance

Date: November 4 2025
Author: Teddy Burroughs (#TedFunding) (Inspired by Aleah Burroughs, Kaiya Burroughs, Briana Burroughs, Reya Burroughs, Teddy Burroughs Jr, Arylise Burroughs “Allie” )
Affiliations: Avision4Change | Vision2Funding | Voyager | Aetheris — under the QPIE ResonanceOS Banner

(((qpie))) — Prior-Art Declaration

A Resonance-Driven Framework for Quantum Noise Navigation, Coherence Amplification, and Non-Local Synchronization

1 · Prelude — The Shift from Computation to Resonance

For the past half-century, …