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Identifying And Overcoming Some Operational Limitations Of Reconfigurable Intelligent Surfaces In 5g And Beyond Wireless Networks, Souvik Deb Jan 2026

Identifying And Overcoming Some Operational Limitations Of Reconfigurable Intelligent Surfaces In 5g And Beyond Wireless Networks, Souvik Deb

Doctoral Theses

Reconfigurable intelligent surfaces (RIS) can dynamically reshape the propagation environment to enhance signal strength, spectral efficiency and reliability in 5th generation (5G) cellular as well as device to device (D2D) communications. However, to reap such benefits, a range of practical and operational challenges need to be addressed for effectively utilizing RIS in realistic urban environments. This includes maintaining line of sight (LoS) between the RIS and the communicating devices for reliable signal reflection in millimeter wave (mmWave) communication, reducing high channel estimation overhead for communication using multipath rich channels and preventing violation of strict latency constraints due to high complexity …

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Simulated Complex Cells Contribute To Object Recognition Through Representational Untangling, Mitchell B Slapik, Harel Z Shouval Jan 2026

Simulated Complex Cells Contribute To Object Recognition Through Representational Untangling, Mitchell B Slapik, Harel Z Shouval

Faculty, Staff and Student Publications

The visual system performs a remarkable feat: it takes complex retinal activation patterns and decodes them for object recognition. This operation, termed "representational untangling," organizes neural representations by clustering similar objects together while separating different categories of objects. While representational untangling is usually associated with higher-order visual areas like the inferior temporal cortex, it remains unclear how the early visual system contributes to this process-whether through highly selective neurons or high-dimensional population codes. This article investigates how a computational model of early vision contributes to representational untangling. Using a computational visual hierarchy and two different data sets consisting of numerals …

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Rogue Peakon, Posedness And Blow-Up Phenomenon For An Integrable Camassa–Holm Type Equation, Mingxuan Zhu, Zhenteng Zeng, Zaihong Jiang, Baoqiang Xia, Zhijun Qiao Jan 2026

Rogue Peakon, Posedness And Blow-Up Phenomenon For An Integrable Camassa–Holm Type Equation, Mingxuan Zhu, Zhenteng Zeng, Zaihong Jiang, Baoqiang Xia, Zhijun Qiao

School of Mathematical & Statistical Sciences Faculty Publications

In this paper, we study an integrable Camassa–Holm (CH) type equation with quadratic nonlinearity. The CH type equation is shown integrable through a Lax pair, and particularly the equation is found to possess a new kind of peaked soliton (peakon) solution – called rogue peakon, that is given in a rational form with some logarithmic function, but not a regular traveling wave. We also provide multi-rogue peakon solutions. Furthermore, we discuss the local well-posedness of the solution in the Besov space 𝐵𝑠𝑝,𝑟 with 1 ≤ p, r ≤ ∞, 𝑠 >max⁡{1+1/𝑝,3/2} or 𝐵3/22,1 , and then prove the ill-posedness …

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Modeling Bounded Count Environmental Data Using A Contaminated Beta-Binomial Regression Model, Arnoldus F. Otto, Antonio Punzo, Johannes T. Ferreira, Andriëtte Bekker, Salvatore D. Tomarchio, Cristina Tortora Jan 2026

Modeling Bounded Count Environmental Data Using A Contaminated Beta-Binomial Regression Model, Arnoldus F. Otto, Antonio Punzo, Johannes T. Ferreira, Andriëtte Bekker, Salvatore D. Tomarchio, Cristina Tortora

Faculty Research, Scholarly, and Creative Activity

Bounded count data are commonly encountered in environmental studies. This paper examines two environmental applications illustrating their relevance. The first investigates the effect of winter malnutrition on mule deer (Odocoileus hemionus) fawn mortality. The second application analyzes public perceptions of environmental issues using data from the Eurobarometer 95.1 survey (March–April 2021), which includes a question rating the perceived severity of climate change on a scale from 1 to 10. Together, these studies demonstrate the need for flexible bounded count models in environmental research. In this context, the binomial and beta-binomial (BB) models are widely used for bounded count data, with …

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Microbial Communities And Biogeochemistry Of A Melting Rocky Mountain Glacier, Pacifica Sommers, Elizabeth Traver, Alison Orthel, Andrew G. Fountain, Jacki Klancher, Steven K. Schmidt Jan 2026

Microbial Communities And Biogeochemistry Of A Melting Rocky Mountain Glacier, Pacifica Sommers, Elizabeth Traver, Alison Orthel, Andrew G. Fountain, Jacki Klancher, Steven K. Schmidt

Geology Faculty Publications and Presentations

Mountain glaciers are disappearing rapidly, and with their disappearance, we may be losing unstudied biodiversity and genetic resources. A variety of habitats for microorganisms exist on glaciers, especially within pockets of supraglacial sediments (cryoconite) that support high levels of biological activity and diversity. We used biogeochemical approaches, high-throughput DNA sequencing, and microscopy to describe the biogeochemistry and microbial communities of supraglacial sediments on the Dinwoody Glacier in the Wind River Range, Wyoming. Carbon (C) and nitrogen (N) concentrations were high, and C:N ratios were close to the Redfield ratio indicating active nutrient cycling. We found unique microbial communities in sediments …

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The Evolution Of Public Health Statistical Modeling Approaches And How To Advance Their Incorporation Into Modern Arboviral Surveillance, Maggie Mccarter, Stella C W Self, Alex Ewing, Mufaro Kanyangarara, Sarah M Gunter, Melissa S Nolan Jan 2026

The Evolution Of Public Health Statistical Modeling Approaches And How To Advance Their Incorporation Into Modern Arboviral Surveillance, Maggie Mccarter, Stella C W Self, Alex Ewing, Mufaro Kanyangarara, Sarah M Gunter, Melissa S Nolan

Faculty, Staff and Students Publications

Statistical modeling of infectious disease transmission patterns has been in existence since the mid-1700s, evolving in their utility as the scientific and technological revolutions progressed. Despite the expansion of emerging mathematical and statistical methodologies over the past 250 yr, their usage has largely remained restricted to academic settings. This forum article will discuss the evolution of disease modeling techniques, the most common types of models in use today, and recommendations on how key archetypes can be incorporated into future public health practice. With the recent global impetus to predict and forecast novel pathogens, this article raises the question: Why are …

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Appraisal Of Aquifer Protective Capacity And Groundwater Potential Using The Vertical Electrical Sounding Technique In Illah, Delta State, Nigeria, John E. Okonkwo, Efemena D. Emmanuel Jan 2026

Appraisal Of Aquifer Protective Capacity And Groundwater Potential Using The Vertical Electrical Sounding Technique In Illah, Delta State, Nigeria, John E. Okonkwo, Efemena D. Emmanuel

Al-Bahir

Groundwater is a critical resource in Illah, Delta State, where surface water is unreliable. This study aims to evaluate groundwater potential and aquifer properties using geoelectric methods, with a particular focus on Dar-Zarrouk parameters. Thirteen Vertical Electrical Sounding (VES) surveys were conducted using the Schlumberger array. Derived parameters, including resistivity, thickness, and Dar-Zarrouk indices, were analysed to characterise the aquifers’ hydraulic properties. Four to five geoelectric layers underlie the study area. Aquifer resistivity ranged from 124–2499 Ω·m, thickness from 3.4–57.9 m, and transmissivity from 27.54–468.99 m²/day. VES 4, VES 1, and VES 7 were identified as high-potential sites. Longitudinal conductance …

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Credit Card Fraud Detection Using Metaheuristic Techniques, Narges Sabry Anwer Mohammed, Mohammed Sabry Saraya, Amr M. Thabet, Labib M. Labib Jan 2026

Credit Card Fraud Detection Using Metaheuristic Techniques, Narges Sabry Anwer Mohammed, Mohammed Sabry Saraya, Amr M. Thabet, Labib M. Labib

Mansoura Engineering Journal

Credit Card Fraud Detection (CCFD) has become a critical challenge to financial security due to increasingly sophisticated fraudulent activities. This study investigates the effectiveness of Meta-Heuristic (MHT) optimization techniques in improving fraud detection (FD) through feature selection (FS) and model optimization. To address class imbalance, Random Under-Sampling (RUS) was applied. The selected feature subsets were evaluated using three machine learning (ML) classifiers—Decision Tree (DT), KNearest Neighbours (KNN), and XGBoost (Xgb-Tree)—across four benchmark datasets: European, Statlog (Australian Credit Approval), PaySim, and Credit Card Transactions Fraud Detection (CCTFD). Eleven binary MHT algorithms were implemented and compared. The comparative analysis shows that the …

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Understanding Technology Integration Through Hermeneutic Interpretation: A Study Of Faculty Experiences At An Hbcu, Jill Ardley, Tamara Smith-Moyler, Keesha M. Kerns, Beatrice Darden-Woody, Priscilla Spencer, Ronald White Jan 2026

Understanding Technology Integration Through Hermeneutic Interpretation: A Study Of Faculty Experiences At An Hbcu, Jill Ardley, Tamara Smith-Moyler, Keesha M. Kerns, Beatrice Darden-Woody, Priscilla Spencer, Ronald White

International Journal of Teaching and Learning in Higher Education

This study explores how six education faculty members in the School of Education at a Historically Black College and University (HBCU) in the southeastern United States interpret and implement instructional technology instruction through a hermeneutic theoretical lens. Grounded in the HBCU’s School of Education vision statement, the research investigates how faculty members’ understanding of human learning behaviors shapes their pedagogical choices within School of Education courses. The qualitative analysis revealed three key themes: (1) Technology as a Tool for Equity and Inclusion, (2) Alignment with the School of Education Vision, and (3) Student-Centered, Practice-Oriented Use of Technology. Rather than employing …

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Doctoral Students’ Perceived Academic Research Reading Ability: A Mixed-Methods Study, Ryan Glaman Jan 2026

Doctoral Students’ Perceived Academic Research Reading Ability: A Mixed-Methods Study, Ryan Glaman

International Journal of Teaching and Learning in Higher Education

Empirical research is useful for informing educational policy and practice. However, doctoral students often struggle with reading and evaluating empirical research papers. The present study examined doctoral students’ perceptions of their ability to read and evaluate empirical research articles, both before and after an educational research methods course, as well as which course components students perceived as most impacting their ability to read and evaluate research articles. The study used a convergent mixed methods design, involving pre- and post-course survey data. Results indicated students felt they improved in their experience levels, comfort levels, interpretation ability, and evaluation ability regarding reading …

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Intelligent Coordination Approach For Hybrid Renewable Energy Systems Towards Sustainable Power Supply, Olufisayo Stephen Babalola, Joseph Bukola Samson, Olatunji Waliu Olademeji, Samson Oladayo Ayanlade, Etinosa Noma-Osaghae, Opeyemi Ahmed Ajibola Jan 2026

Intelligent Coordination Approach For Hybrid Renewable Energy Systems Towards Sustainable Power Supply, Olufisayo Stephen Babalola, Joseph Bukola Samson, Olatunji Waliu Olademeji, Samson Oladayo Ayanlade, Etinosa Noma-Osaghae, Opeyemi Ahmed Ajibola

AUIQ Technical Engineering Science

This study developed a microcontroller-based system which coordinates and monitors hybrid renewable energy sources within a microgrid, providing an uninterrupted power solution for off-grid areas. Site data for wind speed, solar radiation, and load demand were collected and averaged into hourly intervals across seasons. A key novelty of this work is an intelligent coordination approach based on Sequential Quadratic Programming (SQP) that simultaneously determines economically viable system sizes and optimizes real time energy flow for adaptive, reliable, and cost-effective control. Mathematical models and size optimization were developed for all system components. This study proposes an intelligent coordination and optimal sizing …

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Intrusion Detection In Cloud Computing Using Support Vector Machine And Fast Firefly Algorithm, Ayobami Taiwo Olusesi, Ignatius Kema Okakwu, Ayodeji Akinsoji Okubanjo, Ayo Isaac Oyedeji, Oluwaseyi Olawale Bello Jan 2026

Intrusion Detection In Cloud Computing Using Support Vector Machine And Fast Firefly Algorithm, Ayobami Taiwo Olusesi, Ignatius Kema Okakwu, Ayodeji Akinsoji Okubanjo, Ayo Isaac Oyedeji, Oluwaseyi Olawale Bello

AUIQ Technical Engineering Science

Cloud computing has become popular due to the ongoing developments in the Internet and technical advancements. Users are increasingly storing their Web resources and data in the cloud environment due to the convenience and reduced cost of cloud computing services. Data security is crucial to the development of communication systems in cloud computing. Since data in cloud storage environments needs to be protected from intruders, network security in cloud environment has grown significantly in importance in recent years. In order to address these challenges, there is a need for an intrusion detection system (IDS) that can effectively identify malicious attack …

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Exploring The English Language Learning Strategies Preferred And Used By Jazan University Female Students, Abdul Rahman Ali Al Towity Jan 2026

Exploring The English Language Learning Strategies Preferred And Used By Jazan University Female Students, Abdul Rahman Ali Al Towity

UB Journal for Humanities

This study aimed to investigate the language learning strategies employed by Saudi university students and examine the differences in strategy use based on academic year level, motivation, and proficiency. The study was conducted at the University College of Aldayer, a female college at Jazan University, and included a sample of 125 students majoring in English. Data were collected using Oxford’s (1990) Strategy Inventory for Language Learning (SILL). The findings revealed that participants frequently used language learning strategies overall. No significant differences were found in relation to academic year level, however, sophomore and junior students tended to use language learning strategies …

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Gatos – Xi. Excess Dust Heating In The Narrow-Line Regions Of Nearby Agn Revealed With Jwst/Miri, Houda Haidar, David J. Rosario, Ismael García-Bernete, Almudena Alonso-Herrero, Anelise Audibert, Steph Campbell, Chris M. Harrison, Tiago Costa, Laura Hermosa Muñoz, Françoise Combes, Dimitra Rigopoulou, Claudio Ricci, Cristina Ramos Almeida, Enrica Bellocchi, Peter Boorman, Andrew Bunker, Richard Davies, Daniel Delaney, Tanio Díaz Santos, Federico Esposito, Enrique Lopez Rodriguez, Et. Al. Jan 2026

Gatos – Xi. Excess Dust Heating In The Narrow-Line Regions Of Nearby Agn Revealed With Jwst/Miri, Houda Haidar, David J. Rosario, Ismael García-Bernete, Almudena Alonso-Herrero, Anelise Audibert, Steph Campbell, Chris M. Harrison, Tiago Costa, Laura Hermosa Muñoz, Françoise Combes, Dimitra Rigopoulou, Claudio Ricci, Cristina Ramos Almeida, Enrica Bellocchi, Peter Boorman, Andrew Bunker, Richard Davies, Daniel Delaney, Tanio Díaz Santos, Federico Esposito, Enrique Lopez Rodriguez, Et. Al.

Faculty Publications

We present James Webb Space Telescope/Mid-Infrared Instrument imaging of eight nearby active galactic nuclei (AGN) from the GATOS (Galactic Activity, Torus, and Outflow Survey) survey to investigate the physical conditions of extended dust in their narrow-line regions (NLRs). In four galaxies (ESO 428–G14, NGC 4388, NGC 3081, and NGC 5728), we detect spatially resolved dust structures extending ∼100–200 pc along the NLR. In these systems, we find a strong link between the morphology of the dust, the radio ejecta, and the coronal [Si VI] emission, implying that dust carries imprints of the processes shaping the NLR. Using spatially resolved …

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Table Of Contents Jan 2026

Table Of Contents

Journal of the South Carolina Academy of Science

No abstract provided.

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Evaluating Corruption Defenses On Learning Adversarial Robustness, Roland Yang, Akhil Kanthamneni Jan 2026

Evaluating Corruption Defenses On Learning Adversarial Robustness, Roland Yang, Akhil Kanthamneni

Journal of the South Carolina Academy of Science

No abstract provided.

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A Hybrid Cooling System Utilizing Active Air And Phase Change Material Polyethylene Glycol In A Lithium-Ion Battery Pack, Arieleus Taine Jan 2026

A Hybrid Cooling System Utilizing Active Air And Phase Change Material Polyethylene Glycol In A Lithium-Ion Battery Pack, Arieleus Taine

Journal of the South Carolina Academy of Science

Batteries have become one of the most important components of electronic devices. However, a large issue lies in overheating batteries, which decreases their performance and lifespan. Although cooling systems have been researched to combat this, the combination of phase change material polyethylene glycol (PEG) and fans has not been observed. The purpose of this study was to determine if a hybrid system consisting of PEG and air cooling would decrease temperatures compared to individual cooling systems such as just air cooling. It was hypothesized that the hybrid cooling system would have lower overall temperatures as compared to individual active and …

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The Comparative Effect Of Four Reflective Coatings On The Thermal Performance Of Residential Roofing In Climate Zone 8b, Henry Holton Jan 2026

The Comparative Effect Of Four Reflective Coatings On The Thermal Performance Of Residential Roofing In Climate Zone 8b, Henry Holton

Journal of the South Carolina Academy of Science

No abstract provided.

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Ultrasonic Extraction-Based Analysis Of Persistent Organic Pollutants In Blubber From False Killer Whales, Michael O. Eze, Eva Borras, Mitchell M. Mccartney, Don R. Bergfelt, Kristi L. West, Sarah E. Hooper, Cristina E. Davis Jan 2026

Ultrasonic Extraction-Based Analysis Of Persistent Organic Pollutants In Blubber From False Killer Whales, Michael O. Eze, Eva Borras, Mitchell M. Mccartney, Don R. Bergfelt, Kristi L. West, Sarah E. Hooper, Cristina E. Davis

Chemistry Faculty Research & Creative Works

In view of the toxic effects of persistent organic pollutants (POPs), fast and effective assessment of their concentrations in marine mammals is important for understanding individual and population-level health impacts. This study developed an ultrasonic-based method that is less time-consuming, uses minimal solvent, and thus is more sustainable than the gold standard Soxhlet method for accurate analysis of organochlorine pesticides (OCs), polychlorinated biphenyls (PCBs), and benzene hexachlorides (BHC) in false killer whale blubber. This method was developed by comparing concentrations of POPs obtained using the traditional Soxhlet and novel ultrasonic extraction methods using blubber from false killer whales (n = …

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Nonresonance For Problems Involving (P, Q)-Laplacian Equations With Nonlinear Perturbations, E. Lopera, Nsoki Mavinga, D. Sánchez Jan 2026

Nonresonance For Problems Involving (P, Q)-Laplacian Equations With Nonlinear Perturbations, E. Lopera, Nsoki Mavinga, D. Sánchez

Mathematics & Statistics Faculty Works

We are concerned with the existence of solutions of (p, q)-Laplacian problems that include nonlinear perturbation terms in both the differential equations and the boundary. Using variational methods and critical point theory, we prove the existence of weak solutions for the nonlinear problem when the nonlinearities involved remain asymptotically below the infimum of the set of eigenvalues of the (p, q)-Laplacian problem with weights and a spectral parameter present in both the differential equation and the boundary. Additionally, we establish an existence result for the nonlinear problem when the nonlinearities involved remain asymptotically below …

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Natural Protective Mechanisms Of Cucumis Callosus Leaves In Escherichia Species-Induced Urinary Tract Infection: An Integrated In Silico And In Vivo Study, Meenal Sahu, Tripti Paliwal, Radhika Joshi, Arya Kuhu Vishwapriya, Namita Misra, Smita Jain, Gautam Singhvi, Gulshan Kumar, Devesh U. Kapoor, Dipjyoti Chakraborty, Swapnil Sharma Jan 2026

Natural Protective Mechanisms Of Cucumis Callosus Leaves In Escherichia Species-Induced Urinary Tract Infection: An Integrated In Silico And In Vivo Study, Meenal Sahu, Tripti Paliwal, Radhika Joshi, Arya Kuhu Vishwapriya, Namita Misra, Smita Jain, Gautam Singhvi, Gulshan Kumar, Devesh U. Kapoor, Dipjyoti Chakraborty, Swapnil Sharma

Michigan Tech Publications

Leaves of Cucumis callosus, traditionally employed in Ayurvedic medicine for the treatment of urinary disorders, were investigated in depth for their therapeutic potential against bacterially induced urinary tract infection (UTI) for the first time. The present work is the first to explore the antibacterial activity of C. callosus leaf fractions with an integrative in silico, in vitro, and in vivo approach. Through bioassay-guided fractionation, the chloroform fraction (F1) was identified as the most active, exhibiting potent activity against Uropathogenic Escherichia spp. species. Liquid chromatography–mass spectrometry (LC-MS) analysis of F1 revealed the presence of bioactive compounds, including stigmasterol, 1,2,3,4-tetrahydroisoquinoline, lactose, hydroxy(mesityl)acetic …

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Emergent Methodologies: Quantum Qualitative Research, Nicole Weinberg, Gabriel Huddleston, Garrison Daly, Molly Weinburgh Jan 2026

Emergent Methodologies: Quantum Qualitative Research, Nicole Weinberg, Gabriel Huddleston, Garrison Daly, Molly Weinburgh

The Qualitative Report

This methodology paper considers the prospects for quantizing qualitative inquiry in the context of equity and program evaluation. This paper first examines how quantum logics have been applied to the social sciences. Quantum logics refers to a set of generalizations, or rules, that embrace uncertainty and relationality, challenging the linear causality of traditional social science. Then, it reflects upon the impact of the COVID-19 pandemic in the local community as a site to reframe findings and methods through the lens of quantum logic. For example, schools may be understood as quantum systems, co-constituted and rhizomatic communities shaped by entanglement and …

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Exploring Effective Strategies For Optimizing Financial Investments In Healthcare Technology, Bashir Adeniyi Agboola Jan 2026

Exploring Effective Strategies For Optimizing Financial Investments In Healthcare Technology, Bashir Adeniyi Agboola

Walden Dissertations and Doctoral Studies

Ineffective optimization of the billions of dollars spent annually on healthcare technology threatens the sustainability of healthcare systems and exacerbates inequities in patient access. Healthcare technology leaders who lack effective investment optimization strategies risk reducing the operational effectiveness of their healthcare system. The purpose of this qualitative, pragmatic inquiry was to explore the effective strategies that healthcare technology leaders use to optimize financial investments in healthcare technology to improve the patient care experience and equitable access to healthcare services. The participants were nine healthcare technology leaders who used optimal financial investment strategies. Data were collected through semistructured interviews and a …

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Spatiotemporal Analysis Of Genetic Perturbations Reveals A Genetic Cascade Driving Tribolium Gap Gene Initialization, Mahla Ahmadi, Heike Rudolf, Christine Mau, Jimena Garcia-Guillen, Ezzat El-Sherif Jan 2026

Spatiotemporal Analysis Of Genetic Perturbations Reveals A Genetic Cascade Driving Tribolium Gap Gene Initialization, Mahla Ahmadi, Heike Rudolf, Christine Mau, Jimena Garcia-Guillen, Ezzat El-Sherif

School of Integrative Biological & Chemical Sciences Faculty Publications

The ‘French flag’ model has long served as the prevailing framework for explaining how morphogen gradients generate spatial domains during embryonic development. However, recent evidence indicates that many tissues establish patterns by translating the sequential activation of genes into spatial domains. While the sequential nature of this process is becoming clear, the mechanisms that mediate these temporal dynamics and translate them into stable spatial boundaries remain debated. Using the gap gene network in the flour beetle Tribolium castaneum [which mediates the regionalization of the anterior-posterior (AP) axis into different axial fates through the regulation of downstream Hox genes] as a …

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System For Autonomous Behavioral Verification And Remediation Of Migrated Database Code, Khushmeet Rekhi Jan 2026

System For Autonomous Behavioral Verification And Remediation Of Migrated Database Code, Khushmeet Rekhi

Defensive Publications Series

The migration of database code may result in data corruption when static translation tools do not fully account for behavioral differences between source and target platforms, for example, in rounding or null value handling. A dynamic verification approach can address this. A system may passively observe a legacy database to capture truth vectors, which can be records linking transaction inputs to their verified outputs. Translated code can then be executed in an isolated sandbox environment using these inputs. A semantic comparator may analyze the new output against the legacy output from the truth vector. If a material discrepancy is found, …

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Implementation Of Sustainable Development Goals Into Technical And Vocational Education And Training Curricula: Regional Differences In Southeast Asia And South Asia, G.L.D. Wickramasinghe, Vathsala Wickramasinghe Jan 2026

Implementation Of Sustainable Development Goals Into Technical And Vocational Education And Training Curricula: Regional Differences In Southeast Asia And South Asia, G.L.D. Wickramasinghe, Vathsala Wickramasinghe

Jurnal Vokasi Indonesia

The implementation of Sustainable Development Goals (SDGs) into curricula is within the current discourse of education for sustainable development to maintain a curriculum relevant to SDGs. We present findings of a research study that investigated the implementation of SDGs into Technical and Vocational Education and Training (TVET) curricula in the Global South - Southeast Asia and South Asia. The objectives of the paper are to present findings on 1) the implementation of nine (9) SDGs into TVET curricula, namely, 1 – ‘No Poverty’, 2 – ‘Zero Hunger’, 3 – ‘Good Health and Well-being’, 10 – ‘Reduced Inequalities’, 11 – ‘Sustainable …

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Estimation Of Net Premium For Flight Delay Insurance Using The Aggregate Loss Model: A Case Study Of Indonesia Otas, Azka Nurul Husna, Yulial Hikmah, Ira Rosianal Hikmah Jan 2026

Estimation Of Net Premium For Flight Delay Insurance Using The Aggregate Loss Model: A Case Study Of Indonesia Otas, Azka Nurul Husna, Yulial Hikmah, Ira Rosianal Hikmah

Jurnal Vokasi Indonesia

Air transportation, as one of the most chosen transportation modes, is frequently susceptible to delays. Flight Delay Insurance offers a vital solution to mitigate the financial losses associated with this risk. Premium pricing is a key factor influencing the decision to purchase this insurance, particularly on Online Travel Agent (OTA) platforms where product offerings are often highly comparable. The aggregate loss method is employed herein to ascertain the net premium (or pure premium) price. The loss severity component (X) is modeled using an empirical distribution, while the loss frequency component (N) is modeled using a Negative Binomial distribution with parameters …

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Investigation Of Maneuvering Coefficients For The Darpa Suboff Aff1 Model Via Computational Fluid Dynamics, Haydar Palavar Jan 2026

Investigation Of Maneuvering Coefficients For The Darpa Suboff Aff1 Model Via Computational Fluid Dynamics, Haydar Palavar

Seatific Journal

Due to their military applications, submarines are expected to possess certain operational capabilities. Among these, maneuverability stands out as a critical feature, and the investigation and prediction of this capability in the early design stages is of particular importance. In this context, the present study aims to determine the maneuvering coefficients of the DARPA Suboff form’s bare hull model (AFF1) by employing the static drift method. Computational Fluid Dynamics (CFD) simulations were conducted in STAR-CCM+, and the results were validated against experimental data available in the literature. As a result of the hydrodynamic effects investigated under various speeds and drift …

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Bridging Physics And Data: Hybrid Modelling Of Nox And Soot Emissions In Alternative-Fuel Diesel Engine, Fatih Okumuş Jan 2026

Bridging Physics And Data: Hybrid Modelling Of Nox And Soot Emissions In Alternative-Fuel Diesel Engine, Fatih Okumuş

Seatific Journal

In this study, a basic machine learning approach based on fuel type for estimating NOx and soot emissions in diesel engines was comparatively evaluated against a physics-based model incorporating physical indicators related to the combustion process. Experimental data were obtained from a single-cylinder, four-stroke diesel engine under single and dual fuel conditions using diesel, biodiesel, and ammonia. Quantities derived from the in-cylinder pressure signal, including IMEP, maximum pressure rise rate, maximum pressure, the crankshaft angle corresponding to maximum pressure, the CA10–CA90 combustion interval, ignition delay and total combustion duration, were integrated into the model as quantitative indicators representing the engine’s …

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3d Object Tracking Registration Based On Improved Rbot Method, Jiarui Zhou, Haihua Cui, Pengcheng Li, Shihao Gu, Huipu Hao, Xifu Zhao, Anan Zhao, Tao Jiang Jan 2026

3d Object Tracking Registration Based On Improved Rbot Method, Jiarui Zhou, Haihua Cui, Pengcheng Li, Shihao Gu, Huipu Hao, Xifu Zhao, Anan Zhao, Tao Jiang

Journal of System Simulation

Abstract: To address the limitations of region-based object tracking (RBOT) in handling isotropic objects and scenarios with similar foreground-background colors, an improved method integrating edge features is proposed. The approach employs edge detection to extract object contours and designs a region segmentation strategy incorporated into an energy function framework to optimize internal line and edge consistency, thereby enhancing adaptability in dynamic environments and improving pose estimation accuracy. Validation through augmented reality assembly experiments on an aero-engine demonstrates that the proposed method effectively reduces rotational and translational errors, achieving initialization deviations of less than 1.5° and 0.5%, respectively. For static …

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