Digital Commons Network^™

Deep Oxidative Desulfurization Utilizing Hybrid Keggin Catalyst With 1-Methyl-3-Octyl Imidazolium Hexafluorophosphate, Yasmeen Mundher, Hussein Q Hussein, Ban A. Al-Tabbakh

Baghdad Science Journal

Deep oxidative desulfurization is a crucial topic for environmental catalysis research for producing a low-sulfur diesel. One of the effective catalysts that have been used recently for oxidative desulfurization of the refractory sulfur compound from model diesel is Keggin-type polyoxometalate. In this work, a Keggin-type catalyst TBAPW11O39, model diesel, Hydrogen peroxide (H2O2) and 1- methy l-3-octyl imidazolium hexafluorophosphate (OMIM(PF6)) were tested under different reaction conditions. The sulfur compound dibenzothiophene (DBT) in model diesel was captured in ionic liquid (IL) and then oxidized to produce related sulfones with H2O2 as an oxidant using TBAPW11O39, in a batch reactor. The impacts of …

Bernoulli Polynomials Method For Solving Integral Equations With Singular Kernel, Muna M. Mustafa, Heba A. Abd-Alrazak

Baghdad Science Journal

There is always an interest in an effective technique to generate a numerical solution of integral equations with singular or weakly singular kernels more precisely because numerical methods have limitations. In this study, integral equations with singular or weakly singular kernels are solved using the Bernoulli polynomial approach. The primary goal of this study is to provide an approximate solution to such problems in the form of a polynomial in a series of straightforward steps. Also, assuming that the denominator of the kernel will never be zero or have an imaginary value due to the selected nodes of the unique …

An Object Detection Model Based On Augmented Reality For Iraqi Archaeology, Suha Dh. Athab, Abdulamir Abdullah Karim

Baghdad Science Journal

The culture of Iraq, which boasts a rich history, serves as evidence of the magnificence of human civilization. Nonetheless, safeguarding and highlighting this valuable cultural legacy has become a significant worry in a time characterized by technological progress. Augmented Reality (AR) offers a powerful tool for preserving and presenting historical sites. The aim of this research is to leverage AR technology as a means to ensure the continued preservation and dynamic presentation of Iraq's cultural heritage. This study explores the capabilities of CNNs as the basis of AR's development. CNN is used as an essential initial step in constructing AR …

On Pre­ Open Regular Spaces, Afraa R. Sadek

Baghdad Science Journal

In this paper, certain types of regularity of topological spaces have been highlighted, which fall within the study of generalizations of separation axioms. One of the important axioms of separation is what is called regularity, and the spaces that have this property are not few, and the most important of these spaces are Euclidean spaces. Therefore, limiting this important concept to topology is within a narrow framework, which necessitates the use of generalized open sets to obtain more good characteristics and preserve the properties achieved in general topology. Perhaps the reader will realize through the research that our generalization preserved …

Lung Ct Image Segmentation Using Vgg-16 Network With Image Enhancement Based On Bounded Turning Mittag-Leffler Function, Ali M. Hasan, Mohammed Khalaf, Bayan M. Sabbar, Rabha W. Ibrahim, Hamid A. Jalab, Farid Meziane

Baghdad Science Journal

Automated segmentation of diseases considered a necessary initial step in routine diagnosis. Lung diseases that affect the lungs, such as pneumonia or lung collapse can result in areas of consolidation or atelectasis, where lung tissue becomes denser or collapses. It can be challenging to accurately segment such areas, as they may exhibit similar characteristics to adjacent structures. This study proposes a lung CT image segmentation method which includes two steps: (1) a new image enhancement model that uses the bounded turning Mittag-Leffler function to improve the CT images for better segmentation outcomes. (2) a new modified VGG-16 for infection of …

Intelligent System For Student Performance Prediction Using Machine Learning, Mustafa S. Ibrahim Alsumaidaie, Ahmed Adil Nafea, Abdulrahman Abbas Mukhlif, Ruqaiya D. Jalal, Mohammed M Al-Ani

Baghdad Science Journal

Accurately predicting student performance remains a significant challenge in the educational sector. Identifying students who need additional support early can significantly impact their academic outcomes. This study aims to develop an intelligent solution for predicting student performance using supervised machine learning algorithms. This proposed focus on addressing the limitations of existing prediction models and enhancing prediction accuracy. In this work employed three supervised machine learning algorithms: Random Forest, Extra Trees, and K-Nearest Neighbors. The steps of research methodology contained (data collection, preprocessing, feature identification, model construction, and evaluation). This paper utilized a dataset comprising 24,000 training instances and 6,000 testing …

On Some Separation Axioms In Soft Lattice Topological Spaces, Sandhya S. Pai, Baiju T

Baghdad Science Journal

In the realm of topology, various constraints are frequently imposed on the types of topological spaces under examination and these constraints are defined by what are known as separation axioms. Also, the separation axioms can be seen as additional conditions that may be incorporated into the definition of topological spaces. Separation axioms serve various purposes in lattice theory. They provide tools for classifying and comparing different lattices, revealing their structural and topological properties. While traditional separation axioms like T0, T1, T2, etc., still play a role, their interpretation and implications differ in the context of soft sets and lattice structures. …

Some Outcomes Involving A Specific Class Of Functions Over Differential Subordination And Superordination, Mustafa I. Hameed, Shaheed Jameel Al-Dulaimi, Kayode Oshinubi, Hussaini Joshua, Ali F. Jameel, Israa A. Ibrahim

Baghdad Science Journal

This work investigates several aspects of differential subordination and superordination, leading to the inclusion of a specific class within the domain of univalent meromorphic functions in a perforated open unit disc and deriving a few sandwich theorems. The purpose of this article is to look into a few of the characteristics of variation subordination for analytic univalent functions over a perforated unit disc. It additionally aims to shed insight into geometric characteristics like coefficient inequality, Hadamard product characteristics, and the Komatu integral operator. A few interesting findings have been discovered for variations in subordination as well as superordination in analytic …

Magnetotransport Properties Of Polycrystalline Mn_(3-X)Fe_Xsn (X = 1, 2) Thin Films, Duston Wetzel

Dissertations

The incredible progress of the microelectronics industry in the last several decades hasbeen primarily due to the progressive miniaturization and optimization of the MOSFET. However, the rate of this progress is becoming unsustainable by these means. Of several proposed replacements, one of the most popular ideas is to utilize electronic spin in logical processing. The discovery of Giant Magntoresistance (GMR) in layered thin film heterostructures and the subsequent development of Tunneling Magnetoresistance (TMR) devices revolutionized magnetic field sensing, which allowed magnetic domains in hard drives to get much smaller. This enabled hard drives to get denser, but because current charge-based …

Right Truncated‏ ‏Of Mixed Komal-Weibull Distribution With Properties, Sairan Hamza, Bayda Attia Khalaf, Erum Rehman

Journal of Economics and Administrative Sciences

Purpose: Truncated distributions occur in many practical situations and predict real phenomena. Theoretical framework: this paper proposed a right-truncated mixed Komal-Weibull distribution on [0,1] with three parameters, and derived some of its properties. approach: To show the ability and behavior of this distribution, some mathematical properties are given, such as the likelihood distribution function, the cumulative distribution function, the reliability function, the hazard function, the properties of the kth moments, the variance, skewness, and kurtosis coefficients, the moment generating function and the distribution of order statistics. In addition, the maximum likelihood estimate is derived. Findings: the new distribution is flexible …

Analysis Of The Relationship Between External Debt And Economic Growth In Iraq: An Empirical Study, Ali Fouad Saleh, Mohammed Saleh Salman Al-Kubaisi

Journal of Economics and Administrative Sciences

Purpose: Measuring and analyzing the relationship between external debt and economic growth in Iraq. Theoretical framework: The research dealt with the external debt and its impact on economic growth in Iraq. Iraq is one of the countries that suffers from the problem of external debt and its use to finance consumer spending. The research problem can be formulated as the absence of specific standards to guide financial policy in Iraq, especially the optimal size of debt and how to spend the debt in a way that achieves economic growth. Design/methodology/approach: The research relied on the deductive inference method based on …

The Role Of Credit And Deposit Services In Enhancing The Market Value Of Stocks (The Case Of Baghdad Bank), Saja Ismaeel Najim, Yousif Aftan Abdullah, Muhammad Nauman Khan

Journal of Economics and Administrative Sciences

Purpose: Understanding and analyzing the role of certain banking operations in enhancing the value of the stocks of the banks included in the study sample, in addition to measuring the correlation between the research variables. Conceptual framework : The research examined the study of banking operations and their role in enhancing the market value of shares in the Bank of Baghdad, and in light of the competition witnessed by Iraqi commercial banks, especially in light of the great similarity in the services allowed to be provided, in compliance with the Central Bank's instructions, and the decline in the value of …

Nadaraya-Watson Estimation Of A Circular Regression Model On Peak Systolic Blood Pressure Data, Rana Sadiq Nazer, Omar Abdulmohsin Ali

Journal of Economics and Administrative Sciences

Purpose: The research aims to estimate models representing phenomena that follow the logic of circular (angular) data, accounting for the 24-hour periodicity in measurement. Theoretical framework: The regression model is developed to account for the periodic nature of the circular scale, considering the periodicity in the dependent variable y, the explanatory variables x, or both. Design/methodology/approach: Two estimation methods were applied: a parametric model, represented by the Simple Circular Regression (SCR) model, and a nonparametric model, represented by the Nadaraya-Watson Circular Regression (NW) model. The analysis used real data from 50 patients at Al-Kindi Teaching Hospital in Baghdad. Findings: The …

Traittrainr: Accelerating Large-Scale Simulation Under Models Of Continuous Trait Evolution, Jenniffer Roa Lozano, Mataya Duncan, Duane D. Mckenna, Todd A. Castoe, Michael Degiorgio, Richard Adams

Entomology and Plant Pathology Faculty Publications and Presentations

Abstract

The scale and scope of comparative trait data are expanding at unprecedented rates, and recent advances in evolutionary modeling and simulation sometimes struggle to match this pace. Well-organized and flexible applications for conducting large-scale simulations of evolution hold promise in this context for understanding models and more so our ability to confidently estimate them with real trait data sampled from nature. Results

We introduce TraitTrainR, an R package designed to facilitate efficient, large-scale simulations under complex models of continuous trait evolution. TraitTrainR employs several output formats, supports popular trait data transformations, accommodates multi-trait evolution, and exhibits flexibility …

Illinois State University, One Hundred And Sixty-Fifth Annual Commencement, December 2024, Illinois State University

Commencement Programs

Illinois State University

One Hundred and Sixty-Fifth Annual Commencement

December 2024

Predictive Model For Listeria Monocytogenes In Rte Meats Using Exclusive Food Matrix Data, N.A. Nanje Gowda, Manjari Singh, Gijs Lommerse, Saurabh Kumar, Eelco Heintz, Jeyamkondan Subbiah

Food Science Faculty Publications and Presentations

Post-processing contamination of Listeria monocytogenes has remained a major concern for the safety of ready-to-eat (RTE) meat products that are not reheated before consumption. Mathematical models are rapid and cost-effective tools to predict pathogen behavior, product shelf life, and safety. The objective of this study was to develop and validate a comprehensive model to predict the Listeria growth rate in RTE meat products as a function of temperature, pH, water activity, nitrite, acetic, lactic, and propionic acids. The Listeria growth data in RTE food matrices, including RTE beef, pork, and poultry products (731 data sets), were collected from the literature …

A Shared Mechanism For Tnp-Atp Recognition By Members Of The P2x Receptor Family, Xiao-Bo Ma, Chen-Xi Yue, Yan Liu, Yang Yang, Jin Wang, Xiao-Na Yang, Li-Dong Huang, Michael X Zhu, Motoyuki Hattori, Chang-Zhu Li, Ye Yu, Chang-Run Guo

Faculty, Staff and Student Publications

P2X receptors (P2X1-7) are non-selective cation channels involved in many physiological activities such as synaptic transmission, immunological modulation, and cardiovascular function. These receptors share a conserved mechanism to sense extracellular ATP. TNP-ATP is an ATP derivative acting as a nonselective competitive P2X antagonist. Understanding how it occupies the orthosteric site in the absence of agonism may help reveal the key allostery during P2X gating. However, TNP-ATP/P2X complexes (TNP-ATP/human P2X3 (hP2X3) and TNP-ATP/chicken P2X7 (ckP2X7)) with distinct conformations and different mechanisms of action have been proposed. Whether these represent species and subtype variations or experimental differences remains unclear. Here, we show …

Heavy Metals In Rural Soils: A Case Study In Jennings County, Indiana, Madeline Hill

All-Inclusive List of Electronic Theses and Dissertations

Heavy metals, such as lead and mercury, can be toxic if exposure levels are too high. People are often concerned about lead exposure from water or paint, but soil is another potential exposure avenue for many metals. While some heavy metals, including mercury and lead, are found in emissions from coal-burning power plants and from incinerators, many metals accumulate in soils from past uses (ex. lead paint, leaded gasoline, chemical spills, industrial emissions, and natural occurrences). It is important to have soil tested to check metal concentrations because consumption or inhalation of these metals can lead to permanent damage and …

2024 December, Morehead State University. Office Of Communications & Marketing.

Morehead State Press Release Archive, 1961 to the Present

Press releases for December of 2024.

Parametric Analysis Of Wire Arc Additively Manufactured Low-Carbon Steel Using Response Surface Methodology, Mirzagha Halilov

Theses

As the manufacturing sector continues on its path towards sustainability, additive manufacturing (AM) remains as one of its most promising streams, aiming to reduce material waste while also allowing for increased design complexity. In the extensive area of metal 3D printing, one method that is steadily gaining traction is wire-arc additive manufacturing (WAAM). This method of AM utilizes the energy created by an electric arc formed between a continuous consumable metal wire and a metal base, fusing the two together and ultimately creating a 3D component layer by layer. WAAM has several notable advantages over other metal 3D printing methods …

Modeling Impact Of Simulated Myocardial Perfusion On Cardiac Ablation For Arrhythmia, Brendan Cappon

Theses

Bioheat transfer is the study of heat transfer applied in anatomy and physiology, which is relevant to maintaining homeostatic conditions from metabolic activity, thermal exposures, and various treatments and diagnostic methods. Blood flow significantly impacts heat transfer throughout the body, facilitating the diffusion of heat. Models have been developed to quantify bioheat transfer and the effect of blood flow through tissue for many biological functions and medical procedures, one of which is radiofrequency ablation for cardiac arrhythmia. Significant improvements to models and assumptions are still required as success rates for this procedure remain low for various arrhythmia types. The research …

Application Programming Interface For Embedded Protocol Management System, Mathew David Barrera

Theses

This paper defines an architecture and software structure which implements a polymorphic system to manage hardware devices. The architecture implements a system to manage integration of hardware devices by providing the constructs required to implement communication and data transport protocols with a method that manages system state independence of each hardware component integrated. The architecture components provide a system which maintains the independence of each device by defining abstractions between each component of the system providing the software constructs required to integrate hardware components which implement differing connections methods and communication protocols. The software architecture provides the means of Integration …

At-Risk And Online: Parent Perceptions Of At-Risk Learner's Supports In A Fully Online School, Dennis Beck

Curriculum and Instruction Faculty Publications and Presentations

At-risk students face a variety of challenges that encompass cultural, social and environmental contexts and identities. Full time virtual schools offer help for at-risk students through the provision of a personalized learning option where students can catch up with past work or complete school work in a non-traditional environment. The purpose of this study was to understand parent perceptions of at-risk learner’s affective, behavioral, and cognitive engagement supports in a fully online school. Although research exists on at-risk learners in blended environments, this topic has not yet been fully explored for fully online schools. We need a much fuller understanding …

Agchain: A Blockchain-Based Gateway For Trustworthy App Delegation From Mobile App Markets, Mengjie Chen, Xiao Yi, Daoyuan Wu, Jianliang Xu, Yingjiu Li, Debin Gao

Research Collection School Of Computing and Information Systems

The popularity of smartphones has led to the growth of mobile app markets, creating a need for enhanced transparency, global access, and secure downloading. This paper introduces AGChain, a blockchain-based gateway that enables trustworthy app delegation within existing markets. AGChain ensures that markets can continue providing services while users benefit from permanent, distributed, and secure app delegation. During its development, we address two key challenges: significantly reducing smart contract gas costs and enabling fully distributed IPFS-based file storage. Additionally, we tackle three system issues related to security and sustainability. We have implemented a prototype of AGChain on Ethereum and Polygon …

Divlog: Log Parsing With Prompt Enhanced In-Context Learning, Junjielong Xu, Ruichun Yang, Yintong Huo, Chengyu Zhang, Pinjia He

Research Collection School Of Computing and Information Systems

Log parsing, which involves log template extraction from semistructured logs to produce structured logs, is the first and the most critical step in automated log analysis. However, current log parsers suffer from limited effectiveness for two reasons. First, traditional data-driven log parsers solely rely on heuristics or handcrafted features designed by domain experts, which may not consistently perform well on logs from diverse systems. Second, existing supervised log parsers require model tuning, which is often limited to fixed training samples and causes sub-optimal performance across the entire log source. To address this limitation, we propose DivLog, an effective log parsing …

The Relationship Between Government Spending And Productivity In Iraqi Economy For The Period (2004-2022), Gawad Kadhim Mohi, Salah Mahdi Abbas Al-Birmani

Journal of Economics and Administrative Sciences

The study examined the government expenditure patterns in Iraq, specifically focusing on its fundamental components: current and investment expenditure and total and partial productivity. The problem of the study arises in answering the following question: Does government spending have a role in increasing the productivity of the Iraqi economy? The study aims to determine whether government expenditure substantially influences the improvement of the Iraqi economy's productivity. The objective was to thoroughly analyze the alterations in government expenditure over the research duration and assess the magnitude of any deviations. Furthermore, to assess the efficiency of public expenditure and examine various methods …

The Role Of Virtuous Leadership In Reducing Organizational Deviation: An Analytical Study Of A Sample Of Al-Rafidin In Bank Employees In Anbar, Hind Fouad Zabar, Mohsin Rashed Musaheb

Journal of Economics and Administrative Sciences

Purpose: This research works to achieve several goals, perhaps the most prominent of which is identifying the role of virtuous leadership in reducing organizational deviation. Theoretical Framework: Based on what the researchers reported (G. Wang & Hackett, 2016), (Bashir et al., 2012) this study deals with providing practical guidance to improve the virtuous leadership process and enhance its effectiveness in reducing deviations and achieving sustainable development. Design/Methodology/Approach: The study analyzed the data of Rafidain Bank employees in Anbar (2023-2024) using the virtuous leadership model and through its dimensions (courage, wisdom, justice, moderation, and humanity) in reducing organizational deviation through the …

Using P-Median To Solve Location Design Problems, Alaa Shnaishel Cheetar

Journal of Economics and Administrative Sciences

Purpose: This research mostly concentrates on guiding pupils to their secondary schools following their accomplishment in the early elementary education phase. The primary challenge is the establishment of additional schools to accommodate the significant population growth resulting from expansion in emerging areas. Theoretical framework: Scholarly literature has thoroughly examined the P-Median problem and applied it across various domains, including cluster analysis, quantitative psychology, marketing, the communications sector, sales force design, and political constituency division. Design/methodology/approach: This study aims to propose a customization form based on the P-Median issue, taking into account its properties and structure. The P-Median problem optimizes the …

Building A Hybrid Time Series Model Using Ardl With Lstm And Gru Models, Tabarak Yahya Abd, Firas A. Mohammed Almohana

Journal of Economics and Administrative Sciences

Purpose: The aim of the research is to utilize a hybrid model that combines the linear model represented by Autoregressive Distributed Lag (ARDL) and the nonlinear model represented by deep learning models, such as Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU). Theoretical Framework: The theoretical framework integrates the linear component represented by the Autoregressive Distributed Lag (ARDL) model and the nonlinear component represented by deep learning models, namely Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) To create hybrid models. Design/Methodology/Approach: The research methodology involves the use of EVIEWS 12 for analyzing standard data and integrating the …

The Impact Of Exchange Rate On The Gross Domestic Product (Gdp) In Iraq For The Period (2004-2022), Wijjdan Ogge Mohi, Sameer Siham Dawood

Journal of Economics and Administrative Sciences

Purpose: Measuring the connection between the effect of the (EX) and GDP in Iraq. Theoretical Framework: The research addressed the impact of the exchange rate on Iraq's gross domestic product. The research problem revolves around the lack of an exchange rate policy that stimulates investment and production as a result of the economic challenges that Iraq is suffering from, especially since the exchange rate is linked to the trends of the general budget and imports, which led to the weakness of the impact of this monetary instrument on the economy. Therefore, the research raises the problem of whether the exchange …