Digital Commons Network^™

Glutaraldehyde-Crosslinked Chitosan And Zinc Oxide Coating Reinforced With Polysulfone On Copper As A Platform For Electrochemical Formaldehyde Sensing, Anceu Murniati Anm, Rahmat Saputra Rs, Arie Hardian Ah, Manty Aldilani Ikaningsih Mai, Moh Haifan Haifan

Chimica et Natura Acta

Formaldehyde monitoring requires electrochemical platforms with stable structures and reliable interfacial responses. This study aimed to prepare and characterize a Cu|CS–GLA/ZnO–PSf composite film on a copper substrate as a platform for further formaldehyde-sensing development. The film was characterized using FTIR, SEM–EDX, XRD, and cyclic voltammetry. FTIR supported the presence of features associated with chitosan, imine, polysulfone, and Zn–O, while SEM–EDX revealed a heterogeneous polymer-rich coating with Zn- and O-containing domains distributed non-uniformly. XRD indicated a predominantly amorphous or poorly crystalline structure. Cyclic voltammetry showed scan-rate-dependent peak separations, with ΔEp increasing from 0.632 to 0.777 V in citrate buffer and from …

Securing The Frontier: Environmental Adaptation Versus Urban Fortification In Strategic Border Gateways: The Case Of East Qantara, Ahmed M. Selim, Mohamed A. Shebl, Doha M. Saeed, Heba M. Gaber

HBRC Journal

Security-oriented urban design at strategic national gateways often restricts spatial openness, cultural identity, and social inclusion, all essential to functional public spaces. This study develops a multi-criteria framework for security-inclusive urban design at East Qantara, the primary vehicular gateway between continental Egypt and the Sinai Peninsula. This study employed a sequential quantitative–interpretive design approach. In the quantitative phase, 51 criteria were identified from Crime Prevention Through Environmental Design (CPTED) principles, Hostile Vehicle Mitigation (HVM) guidance, publicness theory, and context-specific desert and socio-cultural literature, and subsequently revised to 37 criteria through expert panel validation. A structured expert questionnaire with a five-point …

Estimation Of Unmeasurable External Disturbances Of A Dynamic Object Based On A Robust Adaptive Kalman Filter, Bunyod Mamurjon Ugli Buronov

Technical science and innovation

This article considers the problem of directly estimating unmeasurable external disturbances acting on a dynamic object under the condition that the state vector of the object is available for measurement. In the considered case, the problem is reduced to the estimation of an unknown input of a dynamic system. It is shown that when the system state is measurable, both a direct inversion scheme based on the object’s dynamic equation and filtering methods that eliminate the need for coarse numerical differentiation can be applied. For slowly varying disturbances, a random walk model with a small process noise covariance is proposed, …

Where Do We Go Now: An Examination Of The Role Of 3d Modeling In Cancer Research, Ella Claire Gregory, Hannah Noelle Cochran

ABE 4523/6523 Biomedical Materials

The development of three-dimensional tumor models has become an important area of cancer research. By incorporating biomaterials that can mimic the physical, chemical, and biological characteristics of the tumor environment. 3D models can provide a more physiologically relevant environment for studying tumor growth, cell interaction, metastasis, and drug response.

Life Cycle Assessment Of Emerging Battery Technologies- A Comparative Review Of Sodium-Ion, Zinc-Air, And Aluminum-Ion Systems, Abdulmonem Fetyan, Zishan Shaikh, Syed Nasir Shah, Mohamed Adel Allam, Hemant Mittal, Ahmer A.B. Baloch

All Works

The accelerating global demand for sustainable energy storage solutions has heightened interest in alternative battery chemistries beyond lithium-ion. This review presents a comprehensive comparative analysis of life cycle assessment (LCA) studies on three emerging battery technologies: sodium-ion, zinc-air, and aluminum-ion. By systematically examining peer-reviewed literature published between 2010 and 2025, we evaluate the environmental performance of these chemistries across key life-cycle stages, from raw material extraction to end-of-life treatment. The review employs bibliometric mapping to identify thematic trends and methodological patterns, including system boundaries, functional units, and impact assessment approaches. Sodium-ion batteries show promise due to material abundance and moderate …

Effect Of Waste Cooking Oil And Tapioca Starch On Energy Content And Combustion Performance Of Coconut Shell-Rice Husk Briquettes, Satworo Adiwidodo, Wirawan Wirawan, Kris Witono, Moh. Hartono, Asrori Asrori, Fauzan Baananto, Suliono Suliono, Syahrul Mubarok, Norhafana Binti Mohamed

Journal of Mechanical Engineering Science and Technology (JMEST)

Agricultural waste, such as coconut shells and rice husks, is widely utilized as solid fuel. Tapioca starch serves as the binder, while waste cooking oil (WCO) is used as an additive. Briquette performance is influenced by the type of biomass, binder, and additives used. However, the individual and interactive effects of WCO and tapioca starch on the performance of coconut shell-rice husk briquettes remain insufficiently established. This research focused on evaluating the effects of WCO and tapioca starch on calorific value (CV)  and mass consumption rate. The briquettes' base composition consisted of 75% coconut shell charcoal and 25% rice husk …

Integrated Evaluation Of Rooftop Solar Power Generation System Performance In Tropical Climate Using Geometric, Electrical, And Environmental Parameters, Ayu N. Sari, Ilham R. Fadhlurrahman, Surya Pinanggi, Ermanu A. Hakim, Haneef Nouval Alannibras Humaidi

Journal of Mechanical Engineering Science and Technology (JMEST)

The increasing demand for electrical energy in the commercial sector has encouraged the utilization of rooftop Photovoltaic (PV) systems as a sustainable energy solution in tropical climate regions. However, rooftop PV performance is influenced by the interaction of geometric, electrical, and environmental parameters, which may affect system efficiency. This study analyzes the performance of a rooftop PV system under tropical climate conditions using PVsyst simulation and actual monitoring data collected over 30 days. The research was conducted on an on-grid rooftop PV system with a capacity of approximately 135 kWp, consisting of 217 photovoltaic modules and three inverters with a …

Investigation Of The Production Technology Of Environmentally Safe Urethane Oligomers Based On Local Raw Materials, Bakhtiyor Kudratovich Shaykulov, Dilafruza Ruziboevna Akbarova Gulboeva, Fayzulla Nurmuminovich Nurqulov

Technical science and innovation

This paper investigates the step-by-step poly condensation pathway for synthesizing environmentally friendly, non-isocyanate urethane oligomers derived from local and safe raw materials: urea and ethylene glycol. The influence of thermodynamic parameters on the target product yield was systematically evaluated to determine the optimum technological matrix. Specifically, a 1:2 reactant mass ratio, a stable stationary temperature of 150-155 °C, and a reaction duration of 2 hours under an inert nitrogen atmosphere resulted in a sustainable and reproducible yield of 72%. Thermal degradation and competitive side-product condensations were activated above 160 °C, leading to a sharp drop in overall chemical efficiency. The …

Engineering-Geological And Seismic Conditions Of Arid Territories, Mirabbas Mirsaatovich Zakirov, Golibjon Ernazar Ugli Ochilov, Dilshod Kalandarovich Begimkulov, Inobat Abduvakhidovna Agzamova, Temur Makhmarajabovich Khudoyberdiyev, Ayzada Qaunis Jetpisbaeva

Technical science and innovation

This article presents the results of an assessment of seismic intensity increments depending on the engineering and geological conditions of arid areas in the Muynak district, located in the current Aral Sea crisis zone. Natural and man-made factors shaping the geological environment are examined, including geological structure, lithological and stratigraphic composition, soil physical and mechanical properties, and hydrogeological conditions. Based on the analysis of engineering-geological data, normative classifications of soils according to seismic properties and field research materials, seismic microzoning of the territory was carried out, identifying areas with initial seismicity (“0”) and zones with an increase in seismic intensity …

Automatic +1 Diffraction Order Detection In Off-Axis Digital Holographic Interferometry Using An Energy-Based Spectral Model, Nigora Alimdjanovna Akbarova, Dilnoza Ibrokhim Kizi Abdulkhayeva

Technical science and innovation

This paper presents an automatic +1 diffraction order detection algorithm for off-axis digital holographic interferometry (DHI Manual spectral filtering is widely used to find out the desired order of diffraction in the Fourier domain in conventional digital holographic reconstruction. Nevertheless, this approach is very subjective and must be subject to expert guidance, thus, the reconstruction reproducibility and stability can often deteriorate. To address these limitations, this designed scheme constructs a spectral model utilizing energy-maximization as well as adaptive DC suppression and dynamic filter radius estimates. The algorithm itself can automatically observe the distribution of energy in the hologram spectrum and …

Evaluation Of The Metrological Characteristics Of An Ultrasonic Flowmeter For Water Resources, Makhsud Idrisovich Makhmudov, Uktam Farkhodovich Mamirov, Siroj Sobirovich Nurov

Technical science and innovation

This paper presents the results of evaluating the metrological characteristics of a developed ultrasonic flowmeter intended for measuring water flow in open channels. The study analyzes the main sources of measurement errors and classifies them into methodological, instrumental, additional, systematic, and random components. Experimental investigations were carried out to estimate the random and systematic errors under steady-state flow conditions. Using the least-squares method, the systematic error was separated into additive and multiplicative components, providing a basis for calibration and correction of the measurement results. The reliability of the developed measuring instrument was evaluated using the failure rate method based on …

Evaluation Of Level Measurement Uncertainty For Three Types Of Laser Level Meters Using The Gum Methodology: Calculated Uncertainty Budgets, Uncertainty Profile, And Hardware Component Requirements, Lazizbek Furkatjanovich Saidoripov, Barat Makhmudovich Akhmedov

Technical science and innovation

A methodology is presented for evaluating the uncertainty of liquid petroleum product level measurements using laser level meters based on different measurands’ informative parameters: propagation time, phase difference, and image coordinates. Based on analytical expressions for error components and a traceability chain to the national length standard, calculated uncertainty budgets are developed in accordance with JCGM 100 for time-of-flight, phase-based, and laser–television level meters. Under the assumed input conditions, the expanded uncertainties (k = 2) are 1.66, 0.73, and 1.02 mm, respectively. For the laser–television level meter budget, the Gaussian approximation is verified using the Monte Carlo method (JCGM 101): …

On The Issue Of Developing Diagnostic Systems In Case Of Incompleteness Of Data, Amanulla Azizovich Kadirov, Shohijahon Ulugbek Ugli Akhmetov

Technical science and innovation

This paper addresses the problem of developing diagnostic systems for industrial equipment when initial failure data is incomplete or unavailable. An approach is proposed for generating synthetic data based on a pseudo-failure generator that implements stochastic modeling of degradation processes. A formalized algorithm for generating time-to-failure samples has been developed, including stages of failure physics analysis, statistical model selection, distribution parameterization, and simulation of operating conditions. The Weibull distribution is used as the base model, allowing for the consideration of various stages of the equipment’s life cycle. Additionally, factors that bring the synthetic data closer to real operating conditions are …

Analysis And Study Of The Content Of Chloride Salts In Oil, Natalia Evgenievna Sheina, Muborak Akramovna Mirshomilova

Technical science and innovation

The article addresses the critical issue of crude oil quality control, specifically focusing on the determination of chloride salts (sodium, calcium, and magnesium), which exert a destructive impact on processing equipment. The paper provides a detailed analysis of the adverse effects of salts, which lead to severe equipment corrosion, scaling, and a reduced yield of valuable oil fractions. The chemical principles and specific applications of two standardized methods for analyzing aqueous extracts according to GOST 21534-2021 and ASTM D3230 are described: indicator (argentometric and mercurimetric) and potentiometric titration. The experimental section presents the results of a comparative analysis of crude …

Mining-Geological And Technological Aspects Of The Development Of The Taushan Gold Deposit, Umid Azamjonovich Atakuziev, Aleksey Rashidovich Khasanov

Technical science and innovation

The paper presents a comprehensive study of the geological, geotechnical and geomechanical characteristics of the Taushan gold deposit that determine the selection of an efficient open-pit mining technology. The lithological structure, tectonic framework, ore body geometry and variation of rock mechanical properties with mining depth were analyzed. The results indicate that intensive fracturing, variable ore body thickness, complicated geological conditions and increased seismic activity significantly reduce the efficiency of conventional drilling-and-blasting mining methods. The application of surface miners as an alternative non-blasting mining technology is substantiated. Mechanical rock excavation provides higher mining selectivity, lower ore losses and dilution, reduced disturbance …

Satellite-Based Detection And Preliminary Flux Estimation Of The 2024 Boysun Methane Blowout Event In Uzbekistan, Shomurod Bakhtiyor Ugli Turaev, Dilbar Shamurodovna Fazilova, Aziz Nigmanovich Kazakov

Technical science and innovation

Estimating accidental methane emissions from gas fields remains a difficult task, especially in remote mountainous areas where continuous ground-based observations are not available. This study examines the uncontrolled gas blowout that occurred in 2024 at the “Mustaqillikning 25-yilligi” gas-condensate field in Boysun district, Uzbekistan. Changes in methane content were analyzed using Sentinel-5P TROPOMI data for August–November 2024, processed in Google Earth Engine (GEE). The location of the accident site was refined using Sentinel-2 optical imagery, while ERA5 wind speed and direction data were applied for the preliminary calculation of methane flux. Based on the XCH₄ time series, four stages of …

Analysis And Optimization Of Intelligent Control Of The Drying Process Under Uncertainty, Azizbek Nodirbekovich Yusupbekov, Marufjon Kobuljonovich Shodiev, Khusniddin Mamarasul Ugli Esonov

Technical science and innovation

This section proposes a multi-criteria Pareto-optimization algorithm, integrated with Herbert Simon's four-stage decision-making scheme (Intelligence–Design–Choice–Implementation) and an ANFIS-based adaptive controller, for simultaneously optimizing the mutually conflicting quality, energy, and time criteria of the wheat-drying process. The algorithm for constructing the set of Pareto-optimal solutions and selecting the compromise solution closest to the ideal point is presented step by step. The implementation of the ANFIS controller in the MATLAB/Simulink environment is comprehensively verified through a simulation block diagram, the Rule Viewer, the Surface Viewer, the training error-function graph, the RMSE convergence graph, and a learning-curve analysis. Training was carried out on …

Mathematical Modelling Of Nitrification And Denitrification Processes Based On Neuro-Fuzzy Bioreactor Models, Mirkhalil Agzamovich Ismailov, Boburbek Zokirjon Ugli Mannobjonov

Technical science and innovation

This paper presents the development and investigation of hybrid neural network and fuzzy models for the mathematical modelling of nitrification and denitrification processes in a biological wastewater treatment bioreactor. A comprehensive approach is proposed, integrating a mechanistic model of the ASM1/ASM2d type with neural networks (LSTM and Gaussian Process Regression), as well as a fuzzy control system based on an extended set of expert rules. A digital twin of the bioreactor was developed to allow for the prediction of the dynamic behavior of key parameters such as NH₄⁺, NO₃⁻, dissolved oxygen, etc. within a prediction range of 1 to 12 …

Development Of An Experimental Stand For The Study Of The Directions Of Movement And Velocity Of Air Flows In The Pneumatic Channel Of The Final Aspiration Of The Muz-16 Air Sieve Separator, Hanna Borisovna Torgan, Zulfiya Kakhramonovna Ergasheva

Technical science and innovation

The article presents the results of experimental studies on the rheological properties of pasta dough obtained from various types of wheat flour (bakery highest grade, as well as durum varieties of Belarusian selection). The regularities of changes in the yield shear stress, plastic viscosity, and shear rate of the semi-finished product were studied depending on the key technological factors of extrusion: moisture content (0.28–0.335 kg/kg), temperature (25–55 °C), and discharge pressure (up to 88 · 10^-5 Pa). The operating principle and design features of the modernized pressing unit and die using special converging-diverging (confuser-diffuser) inserts (according to the patents …

Research On The Effectiveness Of Various Methods For Primary Processing Of Silkworm Cocoons, Doston Ishmukhammat Ugli Samandarov

Technical science and innovation

This article presents the results of experimental studies of the primary processing (killing) of silkworm pupae using existing technological methods, as well as three different combinations of infrared (IR) and ultrasound (US). A series of pilot studies was conducted in the laboratory of the Department of Service Technology at Tashkent State Technical University on nine cocoon samples using existing technological equipment and an experimental setup developed under project AL-8724053050 and based on the combined effects of infrared radiation and ultrasound. A comparative evaluation of the studied processing methods was conducted based on the degree of pupal killing, moth hatching, process …

Developing A Digital Facility Management Framework For Enhancing Operation And Maintenance Of Public Parks In Egypt, Alaa Ezzat, Alia Amer, Yasser M. El Sayed

HBRC Journal

Public parks in Cairo represent important urban assets, however, their operation and maintenance (O&M) face many challenges due to fragmented information, reactive maintenance practices, organizational constraints, and limited digital integration. Digital Facility Management discipline still lacks the tailored framework that adequately addresses the operational needs of public parks in Egypt with all its specific details. This study develops an integrated digital FM framework for improving the efficiency of the management process of public parks. A four-phase methodology was adopted, comprising a literature review, framework development, technical system specification, and expert assessment. The proposed framework integrates BIM, COBie, CMMS, IoT technologies, …

Machine Learning Models For Estimating The Consumed And Remaining Useful Life Of Haul Trucks In An Open-Pit Mine In Peru, Marco Cotrina, Jairo Marquina, Mario Sandoval, Jose Mamani, Johnny Ccatamayo

Journal of Sustainable Mining

The purpose of this study was to develop a machine learning-based model to predict the consumed useful life and estimate the remaining useful life of haul trucks in an open-pit mining operation in Peru. A comparative analysis of multiple machine learning models was conducted, including multiple linear regression (MLR), random forest + PSO, support vector regression (SVR), gradient boosting machine (GBM), decision tree + PSO, and artificial neural networks (ANN-MLP). The models were evaluated using performance metrics such as R², RMSE, and MAE, selecting the optimal model to estimate the remaining useful life based on a theoretical lifespan …

Development Of A Spectral Index And Web Application For Automated Marble Quarry Monitoring: A Sentinel-2 Based Approach For Change Detection And Monitoring, Konstantinos Ntouros, Vasileios Drimzakas - Papadopoulos, Georgios Gkologkinas, Georgios Ntouros, Dimitrios Markou

Journal of Sustainable Mining

This study introduces an automated workflow to monitor marble quarry operations using Sentinel-2 satellite data, providing a cost-effective and efficient tool for regulatory oversight focused on environmental sustainability. At the core of this workflow is the Quarry Change Detection Index (QCDI), a new spectral index specifically developed to leverage the unique spectral characteristics of quarry sites, enhancing the detection of land cover changes associated with quarry expansion. To facilitate practical application, a web-based tool was developed using Google Earth Engine and Streamlit. The user-centric design of this platform features an intuitive interface, allowing users to easily select parameters, visualize data, …

Virtual Natural Lighting Solutions (Vnls) Inside Hospitals And Its Psychological Impact, Asmaa Alaa Hasanein Hasanein, Alaa Shams Al-Din Al-Aishi, Marwa Atef Abd Elhady

Mansoura Engineering Journal

This study examines the correlation between daylighting environments in hospitals, users evaluations, and ways of bringing virtual natural light into inner spaces, highlighting the importance of good daylighting design for physical and psychological well-being. Virtual Natural Lighting Solutions (VNLS) mimic the balanced spectrum of natural light, bridging the gap between natural and artificial light, and are crucial for tasks, circadian rhythm, and mood in healthcare settings. The research addresses the variability and limitations of natural light, proposing VNLS for healthcare lighting design, especially in hospitals lacking daylight. The study aims to develop a methodology for using VNLS in healthcare environments …

Reinforcement Learning: A Christian Perspective, Paul Griffioen

Faculty Work Comprehensive List

No abstract provided.

Integrating Gis With Interim Payment Valuation In Road Construction Projects: A Conceptual Framework, Abdulrahman I. Iro, Juma M. Matindana, Julian Ijumulana

Tanzania Journal of Engineering and Technology (TJET)

Abstract

Interim Payment Valuation is a critical process in road construction contract administration, yet conventional valuation practices remain heavily dependent on manual measurements, fragmented documentation, spreadsheets, and professional judgement. These limitations can affect measurement accuracy, transparency, traceability, and the timeliness of payment certification. Although Geographic Information Systems have increasingly been applied to construction planning, quantity measurement, progress monitoring, infrastructure management, and decision support, their integration with contractual and financial processes for interim payment valuation remains insufficiently explored. This study therefore develops a conceptual framework for integrating GIS with Interim Payment Valuation in road construction projects. A PRISMA-guided structured literature review …

Data From: Physics-Data-Hybrid Modeling And Control For Vtol Aircraft, Samantha Dawn Burton

Browse all Datasets

The skeleton code corresponding to many of the results from the dissertation "Physics-Data-Hybrid Modeling and Control for VTOL Aircraft" By Samantha Dawn Burton.

A Tool For Assessing The Effectiveness Of Speed Humps As Traffic Calming Measure, Abdulrazak Mzamiru Kachwamba, Enock W. Nshama

Tanzania Journal of Engineering and Technology (TJET)

Urban population growth and increasing motor vehicle usage continue to raise concerns regarding road safety in rapidly developing cities. Although previous studies have assessed traffic-calming effectiveness using multiple criteria, they have analysed the criteria separately and have not developed a composite tool for classifying overall effectiveness. This study develops a quantitative assessment tool designed to compute a weighted composite score for evaluating the effectiveness of speed humps as a traffic calming measure. Stakeholder questionnaire responses, complemented by descriptive analysis and exploratory factor analysis, were used to identify key indicators of effectiveness and the variables influencing them. Findings indicate that speed …

Artificial Neural Network-Based Modelling And Prediction Of Key Performance Indicators In Road Construction Projects, Hussein Mativila, John M. Kafuku, Beatus A. T. Kundi

Tanzania Journal of Engineering and Technology (TJET)

Road construction projects in developing countries including Tanzania experience several challenges including cost overruns, schedule delays and poor quality. The causes of these challenges include complex interdependencies project’s uncertainty factors. This makes traditional methods for predicting Key Performance Indicators (KPIs) less effective. This study has developed a robust Artificial Neural Network (ANN) model for accurate modelling and predicting KPIs for road construction projects in Tanzania. The analysis was based on data obtained from 281 projects implemented by TANROADS in 11 regions from 2015 to 2025. Fourteen uncertainty factors were measured on a five-point Likert scale and screened using Principal Component …

The Teaching Stem Center Online: Enhancing Instructional Methods For Underprepared Students' Success, Bassey Akpan, Jan Duncan

The Journal of the Research Association of Minority Professors

This study investigates the experiences and academic outcomes of underprepared and underrepresented undergraduate students enrolled in introductory STEM courses at Texas College, a minority‑serving institution committed to advancing equity in science, technology, engineering, and mathematics education. The research focuses on STEM faculty across Biology, Chemistry, Computer Science, and Mathematics and how the Teaching STEM Center Online (TSC) enhances instructional methods to support this student population.

Using a mixed‑methods design, the study evaluates the implementation and impact of the TSC initiative. This includes faculty development workshops, structured instructional coaching, and the integration of evidence‑based teaching practices. Quantitative data from faculty surveys …