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(R2124) Impact Of Delay And Awareness On Hiv/Aids Epidemic Model, Debashis Biswas Jun 2026

(R2124) Impact Of Delay And Awareness On Hiv/Aids Epidemic Model, Debashis Biswas

Applications and Applied Mathematics: An International Journal (AAM)

A delayed HIV/AIDS epidemic model with awareness has been taken here. Essentially, it is mentioned that the disease spreads among the population only through contact (horizontal transmission). The equilibrium points of both the proposed models are investigated, and their stability is discussed. Both models have two types of equilibria, namely the disease-free and the disease positive. The basic reproductive number of both models has been calculated by using the next generation matrix technique. In this paper, the main motivation is to find a way to decrease the disease transmission. Also discussed the impact of delay and awareness on the HIV/AIDS …

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(R2138) Analytical Approaches To Integral Equations In The Dynamics Of The Oblate Spheroidal: Earth-Sun-Satellite System, Kumari Ranjana, M. Shahbaz Ullah, M. Javed Idrisi Jun 2026

(R2138) Analytical Approaches To Integral Equations In The Dynamics Of The Oblate Spheroidal: Earth-Sun-Satellite System, Kumari Ranjana, M. Shahbaz Ullah, M. Javed Idrisi

Applications and Applied Mathematics: An International Journal (AAM)

The deployment of artificial satellites in different gravitational environments has significantly impacted space exploration. We have introduced the study of artificial satellites under the influence of gravitational forces from oblate spheroids. To confront complex obstacles the myriads of both numerical and analytical techniques have been formulated. Among these methods, a new approach involving the integration of integral equations has been introduced. This innovative approach has been applied to study the trajectories of artificial satellites as they navigate the gravitational influence of oblate spheroids. Suitable kernels have been carefully chosen to solve the integral equations. The solutions have been found and …

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(R2139) Italian Domination Number For Some Classes Of Trees, Amritha Prakash, Ragukumar Pandurangan Jun 2026

(R2139) Italian Domination Number For Some Classes Of Trees, Amritha Prakash, Ragukumar Pandurangan

Applications and Applied Mathematics: An International Journal (AAM)

For a graph G with vertex set V , an Italian dominating function is a function f from V to {0, 1, 2} which has the property that for every vertex which is assigned 0, it must either adjacent to a vertex assigned 2 under f or adjacent to at least two vertices assigned 1 under f. The weight of an Italian dominating function is the sum of all weights assigned to the vertices. The minimum weight of an Italian dominating function f is the Italian domination number. Finding a graph’s Italian domination number is a well-known NP-Complete problem. Even …

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(R2159) A Novel Extension Of Picard’S Method For Fractional Initial Value Problems With Convergence Analysis On Finite And Infinite Intervals, Jag Mohan, Anju Sood Jun 2026

(R2159) A Novel Extension Of Picard’S Method For Fractional Initial Value Problems With Convergence Analysis On Finite And Infinite Intervals, Jag Mohan, Anju Sood

Applications and Applied Mathematics: An International Journal (AAM)

In recent years, fractional differential equations have emerged as powerful tools for modeling phenomena with memory and hereditary effects, owing to their non-local characteristics. These equations excel in tackling intricate problems across physics, engineering, and other fields. As analytical solutions are often infeasible, numerical methods play a vital role in their practical application. In this study, we have generalized Picard’s method to address fractional differential initial value problems with Caputo derivative, establishing an existence and uniqueness theorem applicable to both finite and infinite intervals. To substantiate our findings, we provide an example with graphical evidence demonstrating the convergence of the …

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(R2170) Delta-Continuous Functions In Interval-Valued Neutrosophic Soft Topological Spaces And An Application Using Distance And Similarity Measures, B. Vijayalakshmi, S. Madhunika Jun 2026

(R2170) Delta-Continuous Functions In Interval-Valued Neutrosophic Soft Topological Spaces And An Application Using Distance And Similarity Measures, B. Vijayalakshmi, S. Madhunika

Applications and Applied Mathematics: An International Journal (AAM)

This paper introduces delta-continuous functions in interval-valued neutrosophic soft topological spaces and investigates their fundamental properties. Additionally, delta-irresolute functions are introduced within the same framework. The relationships between these functions and existing function classes are explored. Several theorems, accompanied by illustrative examples, are provided to support the theoretical findings. The study also includes an application of the proposed concepts to distance and similarity measures.

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(R2175) Application Of Similarity Measures On Bipolar Complex Neutrosophic Matrices In United Nations’ Sdg-17 Using Python, T. Muthuraji, N. Krishnapraveen Jun 2026

(R2175) Application Of Similarity Measures On Bipolar Complex Neutrosophic Matrices In United Nations’ Sdg-17 Using Python, T. Muthuraji, N. Krishnapraveen

Applications and Applied Mathematics: An International Journal (AAM)

The increasing complexity of decision-making environments demands mathematical frameworks capable of modeling bipolar, indeterminate, and phase-dependent uncertainty simultaneously. Bipolar Complex Neutrosophic theory provides such a structure, but the extension of similarity measures to matrix-based environments remains largely unexplored. In this study, we formally develop cosine, Dice, Jaccard, and hybrid vector similarity measures for Bipolar Complex Neutrosophic Matrices (BCNMs). Each matrix element is represented by a Bipolar Complex Neutrosophic Number (BCNN), enabling structured representation of multidimensional uncertainty within a matrix framework. We also design and implement efficient Python-based computational tools to automate similarity evaluation for BCNMs. The proposed algorithms reduce computational …

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(R2185) Operations On Bipolar Complex Neutrosophic Matrices And Its Application In Un’S Sdg-14 & Sdg-3 Using Python, N. Krishnapraveen, T. Muthuraji Jun 2026

(R2185) Operations On Bipolar Complex Neutrosophic Matrices And Its Application In Un’S Sdg-14 & Sdg-3 Using Python, N. Krishnapraveen, T. Muthuraji

Applications and Applied Mathematics: An International Journal (AAM)

Decision-making in sustainability oriented environments frequently involves bipolar evaluations, indeterminate information and phase dependent uncertainty that cannot be adequately represented by existing neutrosophic matrix models. To address this limitation, this study introduces a Bipolar Complex Neutrosophic Matrix (BCNM) framework that integrates bipolar semantics with complex valued uncertainty in a coherent algebraic structure. Fundamental operations and structural properties are rigorously established to ensure mathematical consistency. To facilitate practical multi criteria decision analysis (MCDA), novel score, accuracy, and hybrid aggregation operators are developed. The computational feasibility of the proposed approach is analyzed, demonstrating linear complexity with respect to the number of alternatives …

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(R2140) Verifying The Proper Efficiency In Multi-Objective Problems, Javad Bavali, Hadi Basirzadeh Jun 2026

(R2140) Verifying The Proper Efficiency In Multi-Objective Problems, Javad Bavali, Hadi Basirzadeh

Applications and Applied Mathematics: An International Journal (AAM)

Over the past decade, numerous approaches have been put forward to address multi-objective optimization problems-focusing on approximating proper efficient solutions instead of the efficient solutions. These methods are important because, according to Geoffrion’s conjecture, proper non-dominated solutions constitute a dense subset of the non-dominated solution set. In the current study, first, using the definition of Kuhn-Tucker’s proper efficiency, we present a linear subproblem that investigates the proper efficiency of a randomly selected feasible point. Additionally, the relationship between the different types of solutions to this sub-problem and the proper efficient solutions of the main problem has been analyzed. Next, we …

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(R2191) The Study Of Stokes Drag In The R4bp Under The Effect Of Coriolis And Centrifugal Forces With Variable Mass, Amit Mittal, Krishan Pal, Rajiv Aggarwal, Rajveer Singh Jun 2026

(R2191) The Study Of Stokes Drag In The R4bp Under The Effect Of Coriolis And Centrifugal Forces With Variable Mass, Amit Mittal, Krishan Pal, Rajiv Aggarwal, Rajveer Singh

Applications and Applied Mathematics: An International Journal (AAM)

In this paper, we examine the existence, locations, and stability of the equilibrium points under the combined effects of Stokes drag and small perturbations in the Coriolis and centrifugal forces in the triangular restricted four-body problem (TR4BP) with variable mass. A triangular (Lagrangian) configuration is formed by the three primary bodies, which occupy the vertices of an equilateral triangle. All the primaries are treated as point masses to study the dynamical behavior of an infinitesimal body. The numerical results indicate that, under the influence of Stokes drag, none of the equilibrium points lie along a straight line. The centrifugal force …

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(R2187) Analysis Of Neurological Impairments In Hospitalized Patients Using Cubic Neutrosophic Sets, B. Anitha, M. Lavanya Jun 2026

(R2187) Analysis Of Neurological Impairments In Hospitalized Patients Using Cubic Neutrosophic Sets, B. Anitha, M. Lavanya

Applications and Applied Mathematics: An International Journal (AAM)

This study introduces an MCDM-based framework for identifying neurological diseases in hospitalized patients using symptom-based evaluations. A team of interns, guided by the chief doctor, was responsible for determining each patient’s precise condition from the presented neurological symptoms. To enhance diagnostic accuracy, the interns employed the TOPSIS and WASPAS methods to assess and rank the potential disease options. The combined analysis yielded a clear identification of the highest ranked disease for every patient, highlighting the effectiveness of these MCDM techniques in supporting clinical decision making.

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R Code And Supporting Data For "Fast And Slow Water Handling Strategies Explain Pinyon Pine Decline And Juniper Expansion", Andrew Kulmatiski, Muhammad Faraz Rehman Jun 2026

R Code And Supporting Data For "Fast And Slow Water Handling Strategies Explain Pinyon Pine Decline And Juniper Expansion", Andrew Kulmatiski, Muhammad Faraz Rehman

Browse all Datasets

This repository contains the datasets, R scripts, HYDRUS-1D model files, weather data, and supporting materials used for the M.S. thesis, "Fast and Slow Water Handling Strategies Explain Pinyon Pine Decline and Juniper Expansion." The study investigated root water uptake and water-use strategies of pinyon pine (Pinus edulis) and Utah juniper (Juniperus osteosperma) using stable isotope tracer experiments, soil water flow modeling, leaf water potential measurements, stomatal conductance measurements, and environmental data collected across an aridity gradient in southern Utah, USA.

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Balancing Innovation & Safety: The Role Of State Law As The Use Of Artificial Intelligence Increases In Oil And Gas Operations, Anna Trahan Jun 2026

Balancing Innovation & Safety: The Role Of State Law As The Use Of Artificial Intelligence Increases In Oil And Gas Operations, Anna Trahan

LSU Journal of Energy Law and Resources

No abstract provided.

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(R2149) Heat, Hall, And Ion Slip Effects On Chemically Reacting Mhd Casson Flow Through Moving Surface, Gaurav Kumar, Vinod Kumar Jun 2026

(R2149) Heat, Hall, And Ion Slip Effects On Chemically Reacting Mhd Casson Flow Through Moving Surface, Gaurav Kumar, Vinod Kumar

Applications and Applied Mathematics: An International Journal (AAM)

The present investigation aims to analyze the combined effects of heat generation/absorption, Hall current, and ion slip on the flow of chemically reacting MHD Casson fluid over a moving vertical surface, considering ramped wall temperature and mass diffusion. The flow medium has been made porous. The analytical solution of the model's partial differential equations is derived using the Laplace transform technique aided by the Heaviside step function. The expressions for the Sherwood Number, Nusselt Number, and shear stress on the plate have been derived. The results obtained are found to be in outstanding agreement. The outcomes achieved are displayed through …

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(R2129) Layer Resolving Classical Scheme For A System Of N Time-Dependent Singularly Perturbed Problems With Spatial Delay And Robin Initial Conditions, K. Ramiya Bharathi, G. E. Chatzarakis, M. Joseph Paramasivam Jun 2026

(R2129) Layer Resolving Classical Scheme For A System Of N Time-Dependent Singularly Perturbed Problems With Spatial Delay And Robin Initial Conditions, K. Ramiya Bharathi, G. E. Chatzarakis, M. Joseph Paramasivam

Applications and Applied Mathematics: An International Journal (AAM)

This article deals with solving a system of n time-dependent singularly perturbed problems with spatial delay and robin initial conditions. Each equation’s leading term is multiplied by a distinct small positive parameter, inducing overlapping initial layers. Due to presence of these parameters and delay terms, intricate layers occur at interior regions of the domain. To capture the behavior of these layers the solution is decomposed into two components and layer functions are also formulated. The formulation of the layer resolving numerical scheme involves temporal and spatial discretization on uniform and piecewise uniform Shishkin meshes respectively. The proposed framework is found …

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An Overlooked Terrestrial Archive: Freshwater Cements And Hydroclimate Signals In Quaternary Glaciogenic Deposits, Owen F. Mccaffrey, Ian Z. Winkelstern, Tara A. Kneeshaw, Melinda C. Higley Jun 2026

An Overlooked Terrestrial Archive: Freshwater Cements And Hydroclimate Signals In Quaternary Glaciogenic Deposits, Owen F. Mccaffrey, Ian Z. Winkelstern, Tara A. Kneeshaw, Melinda C. Higley

University Faculty Publications and Creative Works

Quaternary glaciogenic deposits, which serve as vital groundwater aquifers, are often partially cemented with carbonate minerals, but the timing of emplacement of these cements and their geochemical conditions of formation remain understudied. Here, we integrated petrography, δ18O, Mg/Ca, and clumped isotope (Δ47) data from two calcitecemented outcrops in western Michigan (USA) to investigate the origin of glacial sediment cements. The two sites have contrasting topographic and textural settings reflecting distinct formation conditions. The elevated Wabasis Lake deposit records sequential phreatic-to-vadose cementation, while the Cherry Valley Sands site, very close to the modern water table, shows a …

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(R2161) Robust Optimization Of Industrial Hazardous Waste Location-Routing Problem Considering Response Actions To Environmental Risk, Sharareh Teimoori, Farhad Hosseinzadeh Lotfi, Seyyed Esmaeil Najafi, Navid Rafiei Jun 2026

(R2161) Robust Optimization Of Industrial Hazardous Waste Location-Routing Problem Considering Response Actions To Environmental Risk, Sharareh Teimoori, Farhad Hosseinzadeh Lotfi, Seyyed Esmaeil Najafi, Navid Rafiei

Applications and Applied Mathematics: An International Journal (AAM)

The management of hazardous industrial waste has emerged as a significant global challenge due to rapid technological advancements. Industrial hazardous waste management systems must be designed not only to be cost-effective but also to minimize environmental risks. This study proposes a mixed-integer programming model for the location-routing of industrial hazardous waste that incorporates both primary and secondary environmental risks, along with suitable response actions. Furthermore, a scenario-based robust optimization model is developed to address uncertainties in the quantities of industrial hazardous waste. A case study is conducted to demonstrate the applicability and comparative performance of the nominal and robust models. …

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From Detection To Segmentation: A Foundation Model Approach To Organoid Brightfield Image Analysis Using Sam 3, Hiren Manani Jun 2026

From Detection To Segmentation: A Foundation Model Approach To Organoid Brightfield Image Analysis Using Sam 3, Hiren Manani

Theses - ALL

This thesis presents the first systematic application of SAM 3, a unified foundation model for promptable segmentation, to mouse small intestinal organoid brightfield microscopy image analysis. The work spans the complete pipeline from zero-shot baseline evaluation through domain-specific fine-tuning on a GPU cluster, and documents the full engineering process required to adapt a state-of-the-art foundation model to a novel biomedical imaging domain. A comprehensive literature review of over 20 papers spanning detection-based, classical segmentation, foundation model, and morphological analysis approaches identified a clear research gap that this thesis addresses. Five critical compatibility patches were developed to deploy SAM 3 on …

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Complex Question Analysis In Voice Commands Using Generate Sql For Database Searching, P. Prabaswara, D. Wardani Jun 2026

Complex Question Analysis In Voice Commands Using Generate Sql For Database Searching, P. Prabaswara, D. Wardani

Baghdad Science Journal

The definition of a complex question is a long sentence with many focal points that may have many answers, involve many entities, or use non-standard linguistic constructs. Complex questions can be obtained from voice commands. It will help some people with blindness or visual impairments. Voice commands have become a mandatory feature of applications, including the basic one to access databases. In this work, the Generate Structured Query Language Configuration (GSC) approach was developed to answer complex questions in the Indonesian language. The non-learning approach was chosen as the learning process needs costly computation and is inappropriate for low-resource languages. …

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Constrained Neural Intelligence: Investigations Into Deep Multi-Objective Optimization, Naveed Tahir Jun 2026

Constrained Neural Intelligence: Investigations Into Deep Multi-Objective Optimization, Naveed Tahir

Dissertations - ALL

Neural intelligence is identified with complex learning problems optimized over the high-dimensional, non-convex parameter spaces of deep neural networks. Solving such problems generally requires handling competing objectives and conflicting constraints. This is traditionally dealt with using heuristic methods that collapse such complexity into unconstrained, singular objectives. While computationally convenient, this invites a tradeoff against the precision and stability afforded by non-heuristic, geometry-aware approaches. This dissertation explores constrained multi-objective learning in various applied and theoretical contexts and highlights the feasibility of approximate methods as well as the necessity of exact methods. We propose a framework for equality-constrained deep learning via approximate …

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Ghanaian Men's Experiences With The Police In The United States, Martin Gbadago Jun 2026

Ghanaian Men's Experiences With The Police In The United States, Martin Gbadago

Research Papers

While previous research has examined the police encounters of various immigrant populations and the general U.S. population, the specific experiences of Ghanaian men remain largely unknown. This study explored the police experiences of Ghanaian men in the United States. Using in-depth interviews, conducted via Zoom, with fifteen Ghanaian men, aged 27 to 48, this study investigated their encounters with U.S. police, perceptions of law enforcement, experiences of racial profiling, mistreatment, and violence, and the impact of their immigrant status on their encounters with the police.  Analysis of interview data shows that Ghanaian men’s experiences with U.S. police vary based on …

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Post-Covid Sli In Preschoolers: A Look At Changes In Speech And Language Impairments In Preschool-Aged Children In A Post-Covid Environment., Shenda Coy Jun 2026

Post-Covid Sli In Preschoolers: A Look At Changes In Speech And Language Impairments In Preschool-Aged Children In A Post-Covid Environment., Shenda Coy

Honors Theses

As the world has adjusted to times post-COVID, one thing that has caught the attention of professionals is a shift in speech language development in young children. Since COVID, more children are receiving speech and language services and diagnosed with SLI (speech and language impairment). This study investigates the reason for the shift, as well as strategies and services that can be used to adjust to these changes in numbers. The research for this project was conducted through anecdotal notes, personal research and observations. Information was collected over a number of years after COVID, from 2021-2026. This information when compiled …

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Charmed Baryon Spectroscopy With Λ_B^0 Semileptonic Decays, Hang Thi Thuy Pham Jun 2026

Charmed Baryon Spectroscopy With Λ_B^0 Semileptonic Decays, Hang Thi Thuy Pham

Dissertations - ALL

We study the charmed baryons spectroscopy of Λ_b^0 semileptonic decays: Λ_b^0 -> Λ_c^*+ μ^- ν_μ, and the most interesting is Λ_b^0 -> Λ_c^+(2765) μ^- ν_μ , using Run2 data set, years 2016, 2017 and 2018, with a total integrated luminosity is nearly 6.0 fb-1 collected by the LHCb experiment. We also study the Σc(∗)++/0 components in the Λ_c^+(2765) resonance to gain a better understanding of the state and estimate its spin-parity. We present the preliminary results for the predicted Spin-Parity of Λ_c^+(2765) as J^P (nL) = 1/2^+ (2S), the measured mass is M (Λ_c^+(2765)) = 2772.13 ± 0.87 ± 0.19 …

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Thermal Aberrations And Optical Design For Current And Future Gravitational Wave Detectors, Matthew Richard Todd Jun 2026

Thermal Aberrations And Optical Design For Current And Future Gravitational Wave Detectors, Matthew Richard Todd

Dissertations - ALL

Since the first detection of gravitational waves in 2015, the LIGO-Virgo-KAGRA collabo- ration has detected over 300 gravitational-wave events. Planned upgrades to each detector will further improve gravitational wave sensitivity limits, pushing the frontier of multi- messenger astronomy and paving the way for next-generation detectors, like Cosmic Ex- plorer and Einstein Telescope. Though many challenges to reach sensitivity goals are being addressed, there are still cru- cial aspects of the detectors that are poorly understood and will inhibit gravitational wave detection commissioners from bringing future detectors to their design sensitivity. In par- ticular, increased circulating arm power targets will exacerbate …

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On The Suppression Of Vortex Shedding Within A Supersonic Dual–Stream Rectangular Nozzle, Matthew Anthony Qualters Jun 2026

On The Suppression Of Vortex Shedding Within A Supersonic Dual–Stream Rectangular Nozzle, Matthew Anthony Qualters

Dissertations - ALL

Within an experimental rectangular dual-stream supersonic nozzle, a vortex-shedding instability forms at the blunt trailing edge of the splitter plate separating the Mach = 1.23 core flow and Mach = 1.0 bypass flow, with the combined jet further expanded to Mach = 1.6. This instability generates large coherent vortical structures that interact with the downstream recompression shock, inducing oscillations and producing high-frequency acoustic radiation that dominates both the near- and far-field. Active and passive control techniques are applied to suppress the formation of energetic, periodic vortex shedding and thus reduce or eliminate its effects on the flow field. Three control …

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Forced And Driven: Pressures And Motives Of Better Marketing, Xiaobo Lin Jun 2026

Forced And Driven: Pressures And Motives Of Better Marketing, Xiaobo Lin

Dissertations - ALL

This dissertation comprises two essays examining how external pressures and internal firm characteristics jointly determine marketing decisions and their consequences for firms, stakeholders, and society at large. The first essay investigates the heterogeneous spillover effects of product quality crises on rival firms’ market value and rivals’ subsequent strategic adjustments in recruitment. Three concurrent mechanisms, the consumer switching effect, the industry demand effect, and the remedial cost effect, are proposed to derive and empirically test a nonlinear relationship between firm similarity and net spillover outcomes. Using event study methodology across 102 product quality crises among Chinese listed firms from 2017 to …

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Peptide And Peptide Bioconjugate Based Drug Development For The Treatment Of Metabolic Diseases, Nancy Cham Jun 2026

Peptide And Peptide Bioconjugate Based Drug Development For The Treatment Of Metabolic Diseases, Nancy Cham

Dissertations - ALL

The Doyle group has coined the term ‘corrination’ to describe the conjugate modification of a peptide, protein, small molecule, or radionuclide with a corrin ring-containing molecule such as cobalamin, also known as vitamin B12 (B12), or cobinamides. By exploiting the innate chemico-physical properties of corrin ring-containing compounds, both in general and specifically via the innate dietary B12 uptake pathway in mammals, corrination has been explored for drug development and targeted/localized delivery of probes and therapeutics. Most recently, it is in the field of peptide-based therapeutics that corrination is generating significant interest, no doubt driven in part by the recent successes …

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Image Restoration Regularized By Structured Sparsity Promoting Functions: Theory, Algorithms, And Applications, Jianchen Wei Jun 2026

Image Restoration Regularized By Structured Sparsity Promoting Functions: Theory, Algorithms, And Applications, Jianchen Wei

Dissertations - ALL

Image restoration aims to recover an unknown clean image from observations degraded by blur, subsampling, missing pixels, or noise. This dissertation develops and analyzes variational image restoration models based on structured sparsity promoting functions (SSPFs) and their Moreau-enveloped regularization. The main objective is to design nonconvex regularization models that promote structured sparsity in transformed image representations while remaining analytically tractable and computationally effective. The first part of the dissertation studies an SSPF regularized image restoration model. Under the identifiability condition $\ker(A)\cap \ker(B)=\{\bm0\}$, where $A$ is a linear forward degradation operator and $B$ is a transform operator used to extract image …

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Predictive Mobility-Aware Analysis Of Controller Overhead In Sdn-Enabled Iot, Abdulrahman Saidu, Kamalrulnizam Bin Abu Bakar, Babangida Isyaku, Muhammad Nura Yusuf, Farkhana Binti Muchtar Jun 2026

Predictive Mobility-Aware Analysis Of Controller Overhead In Sdn-Enabled Iot, Abdulrahman Saidu, Kamalrulnizam Bin Abu Bakar, Babangida Isyaku, Muhammad Nura Yusuf, Farkhana Binti Muchtar

Baghdad Science Journal

The rapid growth and increasing mobility of Internet of Things (IoT) mobile devices significantly intensify flow setup requests in Software-Defined Networking (SDN). Frequent movement of mobile devices across access points triggers repeated flow rule installations in data-plane switches, leading to excessive controller overhead under limited flow-table memory capacity. Inaccurate mobility prediction in existing approaches further aggravates this challenge by causing unnecessary rule placement and redundant flow setup requests. This study investigates the impact of mobility-aware prediction on controller overhead with experimental scenarios using different groups of mobile IoT devices, while considering controller CPU and memory utilization. A proactive mobility prediction …

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Data Scheduling Using Distance Function With Single-Pass Processing, Mahmood Shakir Hammoodi, Suhad Hatim Jihad, Mithal Hadi Jebur Jun 2026

Data Scheduling Using Distance Function With Single-Pass Processing, Mahmood Shakir Hammoodi, Suhad Hatim Jihad, Mithal Hadi Jebur

Baghdad Science Journal

Task scheduling is one of the most fundamental difficulties confronting numerous sectors, including education, healthcare, and industrial management. Scheduling quality has a direct impact on performance efficiency, resource utilization, and end user satisfaction. With the growing volume and diversity of data, there is a greater demand for intelligent systems that can handle the spatial and temporal complexity of jobs and resource allocation. As a result, modern data analysis and decision-making processes have become critical for ensuring workflow optimization while reducing time and space waste. This study proposes an innovative approach to task scheduling that combines multidimensional data analysis using Data …

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Optimized Multi-Criteria Routing Algorithm For Durable Wireless Sensor Networks, Ghaihab H. Adday, Maha S. Abdulridha, Hasanain A. Alsreeh, Taj-Aldeen N. Abdali Jun 2026

Optimized Multi-Criteria Routing Algorithm For Durable Wireless Sensor Networks, Ghaihab H. Adday, Maha S. Abdulridha, Hasanain A. Alsreeh, Taj-Aldeen N. Abdali

Baghdad Science Journal

The Internet of Things and the Fourth Industrial Revolution (IR 4.0) rely on Wireless Sensor Networks (WSNs) as their underlying infrastructure. WSNs have recently attracted significant attention due to their crucial applications, such as monitoring applications. Geographic routing algorithms are widely used in WSNs because event location is often more critical than node identification. However, these algorithms still face challenges, such as workload imbalance and high energy consumption. Energy consumption is particularly vital in WSNs due to the sensor nodes' limited power resources. This work proposed an enhanced geographic routing algorithm based on the Technique for Order of Preference by …

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