Digital Commons Network^™

The Role Of Core Capabilities In The Strategic Balance / An Analytical Research In The Central Bank Of Iraq, Noor Al-Hasan Hayder Mudhafar, Suheir Adel Hamed

Journal of Economics and Administrative Sciences

This research aims to investigate the relationship between two variables, namely core capabilities and strategic balance, within the context of the Central Bank of Iraq. The research problem emphasizes the necessity of implementing mechanisms that improve core capabilities to enhance strategic balance within the bank. the study highlights the importance of proposing various strategies to address the research problem, to achieve this, the research was conducted using a sample of 106 administrative leaders out of a total of 109, employing a purposive sampling method according to their positions and the organizational structure. The researcher used a descriptive-analytical approach and employed …

Assessing Supply Chain Quality Management Indicators: A Roadmap To Operational Excellence At Al-Zawraa General Company's Altahady Site, Ali Saad Alwan, Nagham Ali Jasim

Journal of Economics and Administrative Sciences

This research endeavors to assess and enhance supply chain quality management at the Al-Tahady Site of Al-Zawraa General Company. The primary objective is to evaluate a comprehensive set of supply chain quality management indicators and provide a strategic roadmap for achieving operational excellence. The research problem addressed in this study revolves around the need to improve supply chain quality management practices. Despite the inherent challenges in real-world supply chain research, particularly in data acquisition and information gathering, this study is resolute in its mission. Beyond analysis, the researcher seeks to propose practical application mechanisms to drive tangible benefits for the …

The Impact Of The Sovereign Credit Rating On The Possibility Of Financing External Loans To The Iraqi Economy, Zinah Muayad Mahmood, Emad Mohammed Ali Abdullatif

Journal of Economics and Administrative Sciences

External loans are a source of credit revenue. The process of obtaining it requires determining the degree of credit risk by predicting the financial solvency of the economy to judge its financial ability to pay the principal and interest dues of the loan at the specified maturity date. Considering that ability is a determinant of the creditworthiness of his economy, the extent to which financing can continue with this external credit source and its cost. The government of Iraq faced the difficulty of financing external loans from the international capital markets with its high return due to the lack of …

Investing In Education And Scientific Research For Growth Of Iraq: Exploring The Main Dimensions, Success Factors, And Government Policies, Hayder Abdulrazaq Abdulkarem, Adnan Mohammed Hasan

Journal of Economics and Administrative Sciences

The research aims to explore the dynamics of investment in education and scientific research and their influence on Iraq's economic growth. Utilizing a descriptive-analytical approach, the study focuses on various dimensions of education and research investment, including quality education, vocational training, funding, infrastructure, collaboration, and government policies. The data was collected through a comprehensive survey, designed based on international standards and tailored to the specific context of Iraq. The survey garnered 191 valid responses from a diverse range of stakeholders in Iraq's education and research sectors, including educators, policymakers, academic researchers, and institutional representatives. The statistical analysis was carried out …

The Role Of Joint Audit In Reducing Cases Of Financial Default In Banks Listed On The Iraq Stock Exchange, Yahya Raed Al-Salhi, Bushra Fadil Al-Taie

Journal of Economics and Administrative Sciences

The method of joint auditing is not a recent appearance, but it is needed at the present time due to the occurrence of many global problems and crises. The research problem was represented by the increasing cases of financial distress of economic units, especially the collapse of economic units that occurred in the recent global crises. The research was based on the hypothesis that applying The method of joint auditing in economic units helps in reducing cases of financial distress, as the research aimed to measure the extent to which joint auditing can reduce the occurrence of cases of financial …

Implementing A Medication Adherence Toolkit For Adults Recieving Psychaitric Treatment In An Intensive Outpatient Program, Kyla Baucom

DNP and Student Works

Psychiatric disorders contribute significantly to the global disease burden resulting in increased morbidity and mortality in affected individuals. Approximately half of patients with psychiatric illness are nonadherent with psychotropics due to a multitude of factors (Semahegn et al., 2020). The purpose of this quality improvement project is to assess staff knowledge of medication adherence in the psychiatric patient, assess patient medication adherence (MARS) on intake, and provide a medication adherence toolkit with resources for adult patients in a psychiatric intensive outpatient program.

Deepface: Deep-Learning-Based Framework To Contextualize Orofacial-Cleft-Related Variants During Human Embryonic Craniofacial Development, Yan Chu, Xiaoqian Jiang, Seth M Weinberg, Nandita Mukhopadhyay, Mary L Marazita, Lukas M Simon, Peilin Jia, Zhongming Zhao

Faculty, Staff and Student Publications

Orofacial clefts (OFCs) are among the most common human congenital birth defects. Previous multiethnic studies have identified dozens of associated loci for both cleft lip with or without cleft palate (CL/P) and cleft palate alone (CP). Although several nearby genes have been highlighted, the "casual" variants are largely unknown. Here, we developed DeepFace, a convolutional neural network model, to assess the functional impact of variants by SNP activity difference (SAD) scores. The DeepFace model is trained with 204 epigenomic assays from crucial human embryonic craniofacial developmental stages of post-conception week (pcw) 4 to pcw 10. The Pearson correlation coefficient between …

Prediction Of Mild Cognitive Impairment Status: Pilot Study Of Machine Learning Models Based On Longitudinal Data From Fitness Trackers, Assaf Gottlieb

Faculty, Staff and Student Publications

BACKGROUND: Early signs of Alzheimer disease (AD) are difficult to detect, causing diagnoses to be significantly delayed to time points when brain damage has already occurred and current experimental treatments have little effect on slowing disease progression. Tracking cognitive decline at early stages is critical for patients to make lifestyle changes and consider new and experimental therapies. Frequently studied biomarkers are invasive and costly and are limited for predicting conversion from normal to mild cognitive impairment (MCI).

OBJECTIVE: This study aimed to use data collected from fitness trackers to predict MCI status.

METHODS: In this pilot study, fitness trackers were …

Deepface: Deep-Learning-Based Framework To Contextualize Orofacial-Cleft-Related Variants During Human Embryonic Craniofacial Development, Yan Chu, Xiaoqian Jiang, Seth M Weinberg, Nandita Mukhopadhyay, Mary L Marazita, Lukas M Simon, Peilin Jia, Zhongming Zhao

Faculty, Staff and Student Publications

No abstract provided.

Measuring The Level Of Strategic Thinking: An Analytical Research In The National Security Advisory, Muhammad Yahya Shamakhi, Khaled Mahdi Saleh

Journal of Economics and Administrative Sciences

The current research derives its significance from its focus on the vital subject of strategic thinking. This topic has attracted the attention of researchers and managers alike, as well as the importance of the researched organization, the National Security Advisory, due to its strategic role in maintaining the country's security and stability. The research problem arises from neglecting the role of strategic thinking in the organization's success. The research aims to identify the level of incorporation of strategic thinking within the National Security Adviser, across its four dimensions. The research included a sample of (90) employees at all administrative levels …

Feasibility Of Establishing And Re-Operation Of Industrial Projects In Iraq Through Import-Substitution Strategy, Durgham Fadhel Kazem, Thaer Mahmoud Rashid Al-Ani

Journal of Economics and Administrative Sciences

The research idea originated from the significance of the industrial sector and its pivotal role in inducing structural and systemic changes at the national economic level. Given the numerous challenges the industrial sector faces in Iraq, many industrial projects have partially or entirely ceased operations. In contrast, state-owned industrial companies have become a burden on the government. Import substitution through manufacturing is considered one of the leading strategies and most vital industrial approaches that have historically catalyzed industrial growth and structural transformations in the economy. This has been evident in the development of countries that initially relied on primitive economic …

Nonstationary Time Series Models Using Ardl And Nardl Estimation, Mayson Abid Hussein, Munaf Yousif Hmood

Journal of Economics and Administrative Sciences

The paper features an examination of the link between the behavior of the Money supply and Bank deposit in both an autoregressive distributed lag ARDL, plus a nonlinear autoregressive distributed lag NARDL framework. The regression relationship between any two nonstationary time series suffer from the problem of superior regression and the results may be incorrect and unreliable, and to overcome this problem the aim of this paper was find a balanced relationship in the long - run between the variables of Money supply and Bank deposits using the method of cointegration by focusing on the behavior of the residuals of …

Comparison Of Some Robust Methods Of Difference Based Ridge Estimator In Semiparametric Regression Model, Wissam Khalid Saed, Rabab Abdul Rida Al-Bakri

Journal of Economics and Administrative Sciences

The semiparametric regression models have received a lot of attention from researchers recently because it combines parametric and nonparametric methods, it is one of the advanced topics in data analysis for various studies, which aims to find the best capabilities and a high level of efficiency.  One of the most important semiparametric regression models is the partial linear regression model (PLM), which consists of a parametric component and a nonparametric component, for the purpose of estimating the parametric component, the difference method will be used to remove the nonparametric component. When the analysis hypotheses of the parametric component are not …

Accuracy, Thoroughness, And Quality Of Outpatient Primary Care Documentation In The U.S. Department Of Veterans Affairs., Michael Weiner, Mindy E Flanagan, Katie Ernst, Ann H Cottingham, Nicholas A Rattray, Zamal Franks, April W Savoy, Joy L Lee, Richard M Frankel

Health Services and Informatics Research

BACKGROUND: Electronic health records (EHRs) can accelerate documentation and may enhance details of notes, or complicate documentation and introduce errors. Comprehensive assessment of documentation quality requires comparing documentation to what transpires during the clinical encounter itself. We assessed outpatient primary care notes and corresponding recorded encounters to determine accuracy, thoroughness, and several additional key measures of documentation quality.

METHODS: Patients and primary care clinicians across five midwestern primary care clinics of the US Department of Veterans Affairs were recruited into a prospective observational study. Clinical encounters were video-recorded and transcribed verbatim. Using the Physician Documentation Quality Instrument (PDQI-9) added to …

Healey's Popularity Declines, Housing & Immigration Seen As Most Important Problems 7/18/2024, Unh Survey Center

All UNH Survey Center Polls

Massachusetts residents are divided on Maura Healey's performance as governor and her approval rating has declined since May. Housing and immigration are cited most often as the most important problems facing Massachusetts and half of state residents feel the commonwealth is headed in the right direction. A plurality support the 2021 MBTA Communities law requiring communities with access to the MBTA to zone for multifamily housing. Bay Staters show very little interest in renaming Logan Airport after Bill Russell, though many residents are ambivalent or have no opinion on the issue.

Most Rhode Islanders Feel State Headed In Wrong Direction, Disapprove Of Governor Mckee's Job Performance 7/18/2024, Unh Survey Center

All UNH Survey Center Polls

Rhode Island residents are pessimistic about the direction of the state and cite housing, infrastructure, the economy, and corrupt or incompetent government as Rhode Island's most important problems. Less than one-third of residents, including less than half of Democrats, approve of Daniel McKee's performance as governor. Despite voting on the topic several times roughly every decade for many years, a majority of Rhode Islanders do not have a firm understanding of the meaning of the constitutional convention question on the general election ballot in November. Most Rhode Islanders have used the Washington Bridge or detours since the westbound portion of …

Whole-Genome Sequences Reveal Zygotic Composition In Chimeric Twins, Christopher J Yoon, Obi L Griffith, Malachi Griffith, Et Al.

2020-Current year OA Pubs

While most dizygotic twins have a dichorionic placenta, rare cases of dizygotic twins with a monochorionic placenta have been reported. The monochorionic placenta in dizygotic twins allows in utero exchange of embryonic cells, resulting in chimerism in the twins. In practice, this chimerism is incidentally identified in mixed ABO blood types or in the presence of cells with a discordant sex chromosome. Here, we applied whole-genome sequencing to one triplet and one twin family to precisely understand their zygotic compositions, using millions of genomic variants as barcodes of zygotic origins. Peripheral blood showed asymmetrical contributions from two sister zygotes, where …

Man Up: Masculinity And Emotional Abuse Victimization, Kola Brown

Electronic Theses and Dissertations Archive

Intimate Partner Violence (IPV) is often only thought of in the context of physical violence towards women perpetrated by men. Historically, this form of violence garnered much attention due to its objective and visible nature. Unfortunately, other forms of abuse and male victims are often not recognized and result in victim blaming. One such form of abuse is psychological aggression. Studies show that men experience IPV at nearly equal rates as women, but that men experience psychological aggression, also referred to as emotional abuse, at higher rates. Additionally, Black families have the highest rates of abuse. However, due to abuse …

Sensorimotor Grounding In Novel Word Acquisition, John Michael Hollander

Electronic Theses and Dissertations Archive

Embodied models of language comprehension assume that words become associated with sensorimotor experiences during word learning. Novel word learning paradigms may provide insight into embodied effects, but studies in this domain have yet to account for how concepts and information known in first language (L1) might influence the sensorimotor encoding of new words and concepts. Further, research on embodiment and bilingualism suggests that second language semantic representations involve sensorimotor encoding, but because participants in these studies are already proficiently bilingual, the manner and degree to which L1 information influences newly learned word representations remain unclear. The experiments in this dissertation …

Towards Fully Automated Drone-Based Last-Mile Delivery, Navid Mohammad Imran

Electronic Theses and Dissertations Archive

The last mile delivery problem has been one of the most significant challenges in modern logistics and supply chain management. It refers to the final part of the parcel-delivery process, where goods are transported from a distribution center to the individual homes. Frequently, this particular phase becomes the most inefficient and time-consuming segment of the entire delivery process, owing to diverse factors such as urban congestion, limited roadways, and the necessity for multiple stops in a limited area. Among many solutions to address this problem, drone-based last mile delivery is one of the most promising because of the drones’ potential …

Vitamin D Deficiency, Hypertension, And Cardiovascular Diseases In Post-Menopausal African American Women: The Jackson Heart Study, Michelle Alexander

Electronic Theses and Dissertations Archive

Cardiovascular disease is a primary health burden in the population that affects all ethnic groups. Hypertension is also a condition that is very prevalent in the population and is a major risk factor for cardiovascular disease is hypertension. African Americans have the highest prevalence of hypertension and cardiovascular disease as well as higher mortality rates compared to other ethnicities. Vitamin D deficiency affects all populations and research has shown it to be a risk factor for both hypertension and cardiovascular diseases. In this study we examined the association between vitamin D deficiency and cardiovascular diseases, and the association vitamin D …

Rural African American Students' Narratives Of Mathematics Experiences And Identity, Austin Shamar Ferrell

Electronic Theses and Dissertations Archive

The purpose of this study was to explore the personal narratives of five recent African American high school graduates, from several rural educational backgrounds, to understand the impact of ruralness on the construction of their mathematics learning process and mathematics identity. Narrative interviewing was used to gain valuable data which was analyzed through a qualitative thematic analytical approach and linear reconstructed narratives. General analysis of the data revealed that African American college students, from a particular university in the Southern part of the United States, who have a rural K-12 mathematics educational experience have distinctive experiences while learning mathematics. Three …

The Affordances Of Translanguaging Moments And Spaces For Multilingual Minority Kuteb Students In Nigeria, Iratishe Reuben Madaki

Electronic Theses and Dissertations Archive

Translanguaging research among multilingual students has received considerable attention across different contexts of practice. The most robust contexts in translanguaging research have been the classroom contexts between teacher and students. This study examined the affordances of translanguaging spaces “between class sessions” in school and at home contexts. This study focused on examining translanguaging moments that show the affordances of social spaces and practices of multilingual minority students across home and school contexts. The study was conducted following the translanguaging approach which combines conventional methods including ethnographic methods and newer analytical frameworks such as the ‘moment analysis’ used in this study. …

Using Sistacircle Methodology To Understand The Decision-Making Process Of African American Mothers Of Gifted Children Concerning Where To Enroll Their Children In School, Keishana L. Barnes

Electronic Theses and Dissertations Archive

Deciding where to enroll their children in educational settings presents African American mothers of gifted children with on-going and multifaceted decisions to navigate. This qualitative study explored the narratives and experiences of African American mothers navigating the educational journeys of their intellectually gifted children. Drawing from personal reflections and existing literature, the research situates itself within the historical context of gifted education in American schools and the disproportionate impact on the African American community. Despite extensive research on disproportionality in gifted education, there remains a gap in the literature focusing on the lived experiences of African American individuals, particularly mothers, …

Fortifying Federated Learning: A Comprehensive Analysis And Novel Solutions For Privacy And Security Issues In Federated Learning, Sagar Pathak

Electronic Theses and Dissertations Archive

Data exhibits a natural distribution, and effective machine learning models rely on substantial datasets. However, much data remains inaccessible due to privacy and security risks in traditional centralized settings, which require data collection on a central server. Federated Learning (FL) addresses this by moving computation to the data source instead of the server. Despite this, FL faces challenges from data and model poisoning attacks due to its distributed nature. Verifying the authenticity of clients in FL is difficult. Proposed solutions include statistical analysis of client updates, hardware-based isolation, Differential Privacy (DP), and Homomorphic Encryption (HE). However, these solutions have limitations …

Lumped Basin Characterization Based On Hydrologic Connectivity, Francesco Dell'aira

Electronic Theses and Dissertations Archive

Regional models for peak-flow prediction and other established methods in hydrology, including regional calibration of physically based model parameters and multi-basin training of deep-learning hydrologic models, all rely on lumped basin characterizations. On the other hand, it is known that lumped models are heavily affected by the inherent trade-off between the detail in basin representation and the complexity in hydrologic processes that can be captured. Current lumped methods consider straightforward averages of distributed basin characteristics, which may be overly simplistic in many cases. Indeed, existing lumped descriptors may easily fall short in accounting for system heterogeneity, with the risk that …

Biostatistical Methods In High-Dimensional Estimation And Prediction Problems, Chengzhou Wu

Electronic Theses and Dissertations Archive

High-dimensional data, such as DNA methylation data, refers to datasets where the number of variables (features) exceeds the number of samples by a significant margin. In our research, our objective is to utilize advanced biostatistical methods to accurately estimate and predict outcomes from these complex datasets. In the first project, we aim to identify Differentially Methylated Regions (DMRs) within the human genome using a novel biostatistical method. These genomic regions or specific positions exhibit distinct methylation patterns across various phenotypes. Despite existing methodologies like EWAS and dmrff, challenges such as low statistical power, high false positive rates, and complexities in …

Neuropsychological Evaluation Of Retired Nfl Athletes With History Of Multiple Concussions: Examining Race-Norming Practices And Associations With Cognitive Functioning, Lauren Ashley-Marie Schenck

Electronic Theses and Dissertations Archive

This dissertation investigates the neuropsychological outcomes of retired NFL athletes with a history of multiple concussions, focusing on race-norming practices and their associations with cognitive outcomes. The primary objective was to investigate whether race-norming in neuropsychological assessment impacts ratings of cognitive impairment in this population. A secondary goal was to determine if concussion history and other health-related conditions could predict cognitive impairment status. To explore these aims, a comprehensive approach was adopted, involving a detailed review of existing literature, data collection from retired NFL players with a history of multiple concussions (including comprehensive neuropsychological examination), and rigorous statistical analysis. Participants’ …

Algorithmic Methods For Metagenomic Data Analysis, Diem Trang Pham

Electronic Theses and Dissertations Archive

DNA sequencing technologies have transformed genomics, allowing for the decoding of genetic information stored within an organism's DNA. Recent advances in Next-Generation Sequencing technologies (NGS) provide great opportunities to obtain, analyze, and understand genetic information of many species. Using NGS, researchers can obtain millions fragments of DNA, known as \textit{reads}, from different environments. Metagenomics, a study of DNA from environmental samples, explores microbial taxonomy and function. Analyzing metagenomic data is an important problem as recent studies shows the relation of microbial composition to certain diseases or disorders of human health. This task can be computationally expensive since microbial communities usually …

Three-Dimensional Medical Image Registration With Applications In Proton Therapy, Rui Liao

McKelvey School of Engineering Graduate Student Theses & Dissertations

Three-dimensional deformable image registration (DIR) is an important technique in medical imaging, facilitating the alignment of images acquired from different sources or at different times for clinical diagnosis and treatment planning. In clinical proton therapy dose planning, dual-energy computed tomography (DECT) has notably improved the accuracy of estimating the stopping-power ratio map, reducing proton beam range uncertainty. To address the inter-scan motion artifacts inherent in sequential DECT acquisition, we propose a novel motion-compensation scheme to incorporate a three-dimensional DIR method into the joint statistical iterative DECT reconstruction algorithm. We successfully demonstrate that inter-scan motion corrections can be integrated into the …