Digital Commons Network^™

Oxphos Defects Cause Hypermetabolism And Reduce Lifespan In Cells And In Patients With Mitochondrial Diseases, Gabriel Sturm, Kalpita R Karan, Anna S Monzel, Balaji Santhanam, Tanja Taivassalo, Céline Bris, Sarah A Ware, Marissa Cross, Atif Towheed, Albert Higgins-Chen, Meagan J Mcmanus, Andres Cardenas, Jue Lin, Elissa S Epel, Shamima Rahman, John Vissing, Bruno Grassi, Morgan Levine, Steve Horvath, Ronald G Haller, Guy Lenaers, Douglas C Wallace, Marie-Pierre St-Onge, Saeed Tavazoie, Vincent Procaccio, Brett A Kaufman, Erin L. Seifert, Michio Hirano, Martin Picard

Department of Pediatrics Faculty Papers

Patients with primary mitochondrial oxidative phosphorylation (OxPhos) defects present with fatigue and multi-system disorders, are often lean, and die prematurely, but the mechanistic basis for this clinical picture remains unclear. By integrating data from 17 cohorts of patients with mitochondrial diseases (n = 690) we find evidence that these disorders increase resting energy expenditure, a state termed hypermetabolism. We examine this phenomenon longitudinally in patient-derived fibroblasts from multiple donors. Genetically or pharmacologically disrupting OxPhos approximately doubles cellular energy expenditure. This cell-autonomous state of hypermetabolism occurs despite near-normal OxPhos coupling efficiency, excluding uncoupling as a general mechanism. Instead, hypermetabolism is associated …

2023 January 12 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

Draft Final 2023 Residential Metals Abatement Program (Rmap) Borrow Amendment Work Plan, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Visual Analytics And Modeling Of Materials Property Data, Diwas Bhattarai

LSU Doctoral Dissertations

Due to significant advancements in experimental and computational techniques, materials data are abundant. To facilitate data-driven research, it calls for a system for managing and sharing data and supporting a set of tools for effective data analysis and modeling. Generally, a given material property M can be considered as a multivariate data problem. The dimensions of M are the values of the property itself, the conditions (pressure P, temperature T, and multi-component composition X) that control the concerned property, and relevant metadata I (source, date).

Here we present a comprehensive database considering both experimental and computational sources …

Habitat Fragmentation Reduces Survival And Drives Source–Sink Dynamics For A Large Carnivore, Anna C. Nisi, John F. Benson, Richard King, Christopher C. Wilmers

School of Natural Resources: Faculty Publications

Rigorous understanding of how environmental conditions impact population dynamics is essential for species conservation, especially in mixed-use landscapes where source–sink dynamics may be at play. Conservation of large carnivore populations in fragmented, human-dominated landscapes is critical for their long-term persistence. However, living in human-dominated landscapes comes with myriad costs, including direct anthropogenic mortality and sublethal energetic costs. How these costs impact individual fitness and population dynamics are not fully understood, partly due to the difficulty in collecting long-term demographic data for these species. Here, we analyzed an 11-year dataset on puma (Puma concolor) space use, mortality, and reproduction …

Editorial: Advances In Acoustic/Elastic Wave Sensing For Information Processing, Taehwa Lee, Chen Shen, Qingbo He

Henry M. Rowan College of Engineering Departmental Research

No abstract provided.

Prompt Engineering: Guiding The Way To Effective Large Language Models, Mohammad Aljanabi, Mohanad Ghazi Yaseen, Ahmed Hussein Ali, Mostafa Abdulghafoor Mohammed

Iraqi Journal for Computer Science and Mathematics

Large languagemodels (LLMs) have become prominent tools in various domains, such as natural language processing, machine translation, and the development of creative text. Nevertheless, in order to fully exploit the capabilities of Language Models, it is imperative to establish efficient communication channels between humans and machines. The discipline of engineering involves the creation of well-constructed and informative prompts, which act as a crucial link between human intention and the execution of tasks by machines. The present study examines the concept of rapid engineering, elucidating its underlying concepts, methodologies, and diverse range of practical applications.

An Investigation Of Internet Service Provider Selection Criteria: A Systematic Literature Review, Mohammed Naji, Sivadass Thiruchelvam, Mohammed Khudari

Iraqi Journal for Computer Science and Mathematics

In today’s highly competitive business environment, organizations need to collaborate with strategic partners to provide high quality services at lower costtomaintain theireffectiveness and efficiency. Hence,the concept of Supply Chain Management (SCM)emergedto effectively coordinate and manage financial, physical,and information activities within organizations andamong all participating external parties. Qualitative and quantitative factors must be consideredin SCM toensuresustainable development. The research investigatesthe metricsand criteria influencing the process of selecting an Internet service provider (ISP) from 2001 to2022to assessthe extent to which these factors have met the requirements of current decision-makers. It is appropriate to conduct a literature review in light of the changes …

Metamorphis, Luca Lee Sobarzo Faust

Theses and Dissertations

Web3D interactive experience that explores time, communication, and transformation, from a personal storytelling perspective. Hosted on a web platform, the experience displays three environments: Metamorphis, Cuir AI, and Hain. These spaces propose a fragmented narrative that seeks to interrogate both the characters and the viewer’s perception on the linearity of time

Enhancing Student'sperformance Classification Using Ensemble Modeling, Ahmed Adil Nafea, Muthanna Mishlish, Ali Muwafaq Haban Shaban, Mohammed M. Al-Ani, Khattab M Ali Alheeti, Hussam J. Mohammed

Iraqi Journal for Computer Science and Mathematics

A precise prediction of student performance is an important aspect withineducational institutions to improve results and provide personalized support ofstudents.However, the predication accuracy of student performance considers anopenissue within education field.Therefore, thispaper proposes a developedapproachto identifyperformance of students using a group modeling. This approach combinesthe strengths of multiple algorithms including random forest (RF), decision tree (DT), AdaBoosts, and support vector machine (SVM). Afterward, thelastensemble estimatesas one of the bets logistic regressionmethodswas utilizedto create a robust and reliable predictive modelbecause it considers The experiments were evaluated usingtheOpen University Learning Analytics Dataset (OULAD)benchmark dataset.The OULADdataset considersa comprehensive dataset containingvarious characteristics related to …

The Effect Of Audit Switching, Financial Distress And Audit Firm Reputation On Audit Delay: A Study On Manufacturing Companies Listed On Indonesia Stock Exchange, Ayu Rahmawati, Yulinartati -, Riyanto Setiawan Suharsono

Journal of Accounting Auditing and Business

This study investigates the impact of audit switching, financial distress and audit firm reputation on audit delay in manufacturing sector companies listed on the Indonesia Stock Exchange between 2017 and 2021. Purposive sampling was employed with a sample size of 23 manufacturing businesses, this study relied on secondary data from firm financial reports. Multiple linear regression was employed as the analytical model in this investigation. According to the test result, audit switching and financial distress have a considerable impact, although audit firms’ reputation has no effect on the incidence of audit delay.

Driverdrowsyandyawnsystemalertusingdeepcascadeconvolutionneuralnetworkdccnn, Zainab Ali Abbood, Janan Farag Yonan

Iraqi Journal for Computer Science and Mathematics

Driver drowsiness and fatigue are widely recognized as prevailing factors contributing to motor vehicle collisions. Annually, there is a significant increase in the number of deaths and fatalities due to a multitude of factors. The implementation of a driver warning system is imperative in order to mitigate traffic accidents, ultimately resulting in the preservation of human lives and public infrastructure. In this article, DDDS utilizing eye measure and head measure ensued developed as well as implemented. The DDDS was designed utilizing a high-resolution camera and employs Deep Cascaded Convolutional Neural Networks (DCCNN) to accurately identify instances of driver drowsiness. The …

Integrating Edge Computing And Software Defined Networking In Internet Of Things: A Systematic Review, Mohamed Ariff Ameedeen, Imran Edzereiq Kamarudin, Mohd Faizal Ab Razak, Azlee Zabidi

Iraqi Journal for Computer Science and Mathematics

The Internet of Things (IoT) hastransformed our interaction with the world by connecting devices, sensors, and systems to the Internet, enabling real-timemonitoring, control, and automation in various applications such as smart cities, healthcare, transportation, homes,and grids. However, challenges related to latency, privacy, and bandwidth have arisen due to the massive influx of data generated by IoT devices and the limitations of traditional cloud-based architectures. Moreover, network management, interoperability, security, and scalability issues have emerged due to the rapid growth and heterogeneous nature of IoT devices. To overcome such problems, researchers proposed a new architecture called Software Defined Networking for Edge …

A Comprehensive Review Of Software Development Life Cycle Methodologies: Pros, Cons, And Future Directions, Qahtan M. Yas, Abdulbasit Alazzawi, Bahbibi Rahmatullah

Iraqi Journal for Computer Science and Mathematics

The software development process needs specific and studied steps within a reliable plan to achieve the requirements for the success of any project. Software development life cycle (SDLC) methodologies have provided several models that meet the needs of the various proposed projects. These methodologies present various scenarios that can be applied in the process of developing systems to make them more efficient and predictive. The paper aims to illuminate the paramount Software Development Life Cycle (SDLC) methodologies by conducting a comprehensive review of the pros andcons of the various models widely used for software design. Furthermore, the paper discusses fundamental …

Analysis Of The False Prediction Of The Logistic Regression Algorithm In Sql Payload Classification And Its Impact On The Principles Of Information Security (Cia), Omar Salah F Shareef, Rehab Flaih Hasan, Ammar Hatem Farhan

Iraqi Journal for Computer Science and Mathematics

Securing sensitive data is of utmostimportancefor organizations and individuals to maintain data confidentiality, integrity, and timely availability.Additionally, the data of organizations and individuals may face increasedrisksdue to attackersgaining unauthorized access, enabling themto misuse the data for illicit purposes. The consequences of such attacks can be severe, leading to significant financial losses and a breakdown of trust between individuals and organizations. Structured QueryLanguage injection (SQL-i) stands out asone of the most prevalent methods employed to illicitly access data, exploitinga vulnerability in the query statement. This vulnerability grants an attacker swift and effortless access to the data.It consequently allows an unauthorized user …

Particle Swarm Optimization For Penalize Cox Models In Long-Term Prediction Of Breast Cancer Data, Ehab Abbas Fadhil, Basad Al Sarray

Iraqi Journal for Computer Science and Mathematics

The particle swarm optimization (PSO) algorithm was applied to penalize the Cox model for predicting long-term outcomes in breast cancer patients. This study utilized data from 198 breast cancer survivors,including their age, estrogen receptor status, tumor size, grade, and expressionlevels of 76 genes. The aim was to identify a feature subset that could accurately predict patient survival while mitigatingoverfitting and model complexity. PSO was used to search for optimal model parameters. The algorithm was designed to minimize a penalized partial likelihood function, which balances the trade-off between model accuracy and complexity.The values of the objective function were compared with that …

Home Tap Water In Nonmetropolitan Nebraska, Rebecca J. Vogt

Cornhusker Economics

Water is an important resource in Nebraska. Most of the drinking water in the state (85%) comes from groundwater sources. Public water sources are required to test their water to ensure it is safe. However, private wells are not subject to any safety or quality standards. Given that, what are the main sources of home tap water for rural Nebraskans? Do they test or treat their water? The 2022 Nebraska Rural Poll examined these questions.

An Efficient Hash-Based Assessment And Recovery Algorithm For Distributed Healthcare Systems, Sanaa Kaddoura, Ramzi Haraty, Sultan Al Jahdali, Mohamad Jaber

All Works

The enhancement of the information technology in many domains has had a positive impact on the healthcare sector. The ability to share medical data is one of the positive outcomes. However, this improvement comes with a number of threats. Although many threat preventive measures have been applied yet, no one can be confident that the system is safe from attacks. Thus, an algorithm needs to assess the damage occurring as a result of an attack before recovering the database. In this work, we present a distributed algorithm that uses hash tables to deal with the “information warfare” problem in healthcare …

Newsroom, Georgia Southern University

Newsroom (2006-2023)

Inclusive Excellence Grant from Howard Hughes Medical Institute

Program to Improve Combat Readiness with Federal Funding

Old Glory gets Upgrade

Externalities,Scarcity And Abundance, Brett M. Frischmann, Giovanni B. Ramello

Faculty Publications

Introduction: Do externalities work and matter differently in a world of scarcity vs. a world of abundance? In this article, we critically examine the economic phenomena of externalities. The concept of externality, an important idea in economics and law, is useful in exploring the complex and dynamic relationships between resource supply and human flourishing within various sociotechnical systems.

Methods: First, we define the basic concept and explain why it is fundamental to economic analysis of complex social environments Second, we briefly survey the intellectual history of externalities with the goal of tying together a few different strands of economic theory …

"The Change Was As Big As Night And Day": Experiences Of Professors Teaching Students With Intellectual Disabilities, Gavin W. Watts, Eric J. López, Mariya T. Davis

Special Education Faculty Publications (Archived)

Since the inception of the Higher Education Opportunity Act in 2008, there has been an increase in the number of post-secondary education institutions in the United States that have established inclusive postsecondary programs for individuals with intellectual disabilities to attend college and achieve higher levels of employment. Previous studies have investigated the development and outcomes of these programs, however, less has been explored related to professors' experiences and perceptions regarding this unique student population, particularly within Hispanic Serving Institutions (HSI). The current study focused on professors teaching inclusive courses within a new Comprehensive Transition and Postsecondary Program at a HSI …

Combining Ivus + Oct Data, Biomechanical Models And Machine Learning Method For Accurate Coronary Plaque Morphology Quantification And Cap Thickness And Stress/Strain Index Predictions, Rui Lv, Liang Wang, Akiko Maehara, Mitsuaki Matsumura, Xiaoya Guo, Habib Samady, Don P Giddens, Jie Zheng, Gary S Mintz, Dalin Tang

2020-Current year OA Pubs

Assessment and prediction of vulnerable plaque progression and rupture risk are of utmost importance for diagnosis, management and treatment of cardiovascular diseases and possible prevention of acute cardiovascular events such as heart attack and stroke. However, accurate assessment of plaque vulnerability assessment and prediction of its future changes require accurate plaque cap thickness, tissue component and structure quantifications and mechanical stress/strain calculations. Multi-modality intravascular ultrasound (IVUS), optical coherence tomography (OCT) and angiography image data with follow-up were acquired from ten patients to obtain accurate and reliable plaque morphology for model construction. Three-dimensional thin-slice finite element models were constructed for 228 …

Dinitrogen Emissions Dominate Nitrogen Gas Emissions From Soils With Low Oxygen Availability In A Moist Tropical Forest, Maya Almaraz, Peter M. Groffman, Whendee L. Silver, Steven J. Hall, Yang Lin, Christine S. O'Connell, Stephen Porder

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Lowland tropical forest soils are relatively N rich and are the largest global source of N₂O (a powerful greenhouse gas) to the atmosphere. Despite the importance of tropical N cycling, there have been few direct measurements of N₂ (an inert gas that can serve as an alternate fate for N₂O) in tropical soils, limiting our ability to characterize N budgets, manage soils to reduce N₂O production, or predict the future role that N limitation to primary productivity will play in buffering against climate change. We collected soils from across macro- and micro-topographic gradients …

Effects Of Silicon Dioxide As The Polar Dielectric On The Infrared Absorption Spectrum Ofthemetal-Insulator-Metal Metasurface, Ahmad K. Jafari, Matthew Gaddy, Imtiaz Ahmad, Satya R. Kachiraju, M D. Borhan Mia, Ishtiaque Ahmed, Sergey Nikishin, Myoung-Hwan Kim, Ayrton A. Bernussi

Physics & Astronomy Faculty Publications

Metal-insulator-metal metasurfaces have been widely used as high-performance absorbers in almost all electromagnetic spectral ranges. Their absorption spectra can be engineered by making variations in the geometry of the unit cells and/or by embedding materials with specific optical constants. Including a polar dielectric in their structure is another approach for manipulating their absorption spectra. In this research, we have numerically and experimentally investigated the effect of using silicon dioxide (SiO2) as a polar dielectric on the absorption spectrum of a metal-insulator-metal metasurface composed of a tri-layer of Ni-SiO2-Ni. Our results have shown the presence of …

Transcript_Day2 98-101

Civil Matter Files

No abstract provided.

Transcript_Day2 90-105

Civil Matter Files

No abstract provided.

Complete Issue, Volume 39, Issue 1

Journal of the Association for Communication Administration

This is the complete issue for Volume 39, Issue 1 of the Journal of the Association for Communication Administration.

Fano-Type Resonance Structures Based On Combination Of Fiber Bragg Grating With Fabry-Perot Interferometer, A.Zh. Sakhabutdinov, T.A. Agliullin, S.M.R.H. Hussein, A.A. Kuznetsov, V.I. Anfinogentov, B.I. Valeev

Karbala International Journal of Modern Science

The work is dedicated to the mathematical modeling of the combined fiber-optic structure, which consists of a Fabry-Perot interferometer in the form of a thin polymer film at the end of an optical fiber and a fiber Bragg grating formed near it. The simulation results obtained using the proposed rigorous mathematical model are in good agreement with the reflectance spectrum of the experimental fiber-optic structure. It is shown that the combination of two resonant wave processes in the optical fiber leads to the asymmetric Fano-type resonance. The spectral shape of the resonance depends on the parameters of the structure, in …

Influence Of Synthesis Conditions On The Physicochemical And Electrocatalytic Properties Of Non-Stoichiometric Ba2sr2la2ti4o12 Perovskites, Ofeliya Kostadinova, Iliyan Popov, Simeon M. Stankov, Hristo Kolev, Tamara Petkov

Karbala International Journal of Modern Science

Present work studies the influence of the pretreatment milling media (deionized water (BLTOS-H) and isopropanol (BLTOS-i)) on the surface characteristics, structure, chemical composition and catalytic activity of non-stoichiometric Ba2Sr2La2Ti4O12 perovskites. The IR spectroscopy and XRD analyses shows a difference in the structure and phase composition of the two materials. X-ray photoelectron spectroscopy detects a Ba2+- and La3+-enriched and Sr2+-depleted surface. The BLTOS-i sample appears to exhibit higher specific surface area (SSA) and pore volume in comparison to BLTOS-H. The electrochemical tests showed that BLTOS-H sample have similar behavior to platinum at current densi-ties up to 10 mA cm-2, while BLTOS-i …

Leveraging Genetic Diversity In Mice To Inform Individual Differences In Brain Microstructure And Memory., Thomas J Murdy, Amy R Dunn, Surjeet Singh, Maria Telpoukhovskaia, Shanrong Zhang, Jacqueline K White, Itamar Kahn, Marcelo Febo, Catherine Kaczorowski

Faculty Research 2023

In human Alzheimer's disease (AD) patients and AD mouse models, both differential pre-disease brain features and differential disease-associated memory decline are observed, suggesting that certain neurological features may protect against AD-related cognitive decline. The combination of these features is known as brain reserve, and understanding the genetic underpinnings of brain reserve may advance AD treatment in genetically diverse human populations. One potential source of brain reserve is brain microstructure, which is genetically influenced and can be measured with diffusion MRI (dMRI). To investigate variation of dMRI metrics in pre-disease-onset, genetically diverse AD mouse models, we utilized a population of genetically …