Digital Commons Network^™

Prospect Study Of Anti-Inflammatory Activity By Identification Of Muntingia Calabura Leaf Infusion, Shenny Permana, Muchamad Yusuf, Aufa Putriana, Jasmine Sukmayani, Ratu Sudrajat, Miski Khairinisa, Indah Wahyuni, Enny Rohmawaty, Muhammad Bashari, Ronny Lesmana, Aziiz Rosdianto

Pharmacology and Clinical Pharmacy Research

Many diseases occur due to inflammation that is not handled properly. One of the feature of inflammation is swelling or edema. Inflammation can be handled with traditional medicine, such as Muntingia calabura L. (M. calabura L.) Pharmacologically, this plant extract is reported to have antipyretic, analgesic, anti-inflammatory, antioxidant, and antibacterial. Metabolite compound contained in M. calabura L. has the potential as an anti-inflammatory agent. The objective of this study is to ascertain the secondary metabolites contained in M. calabura L. leaves infusion. This experimental research method includes the simplicia making and infusion of M. calabura L. leaves by cold infusion …

Activity: Students Find Conceptual Errors In Ai Output, Janie Brennan

Generative AI Teaching Activities

Instructor asks ChatGPT questions related to a key concept to find one where ChatGPT has conceptual errors. Ask students to find the errors and explain them.

Quality Assessment Of Life Cycle Inventory Data For Fibre-Reinforced Polymer Composite Materials, Badr Moutik, John Summerscales, Jasper Graham-Jones, Richard Pemberton

School of Engineering, Computing and Mathematics

Composite industry growth, driven by the demand for lightweight and high-performance structures, has intensified challenges and inquiries regarding its lifecycle environmental impact, catalysing an increase in Life Cycle Assessment (LCA) studies. These studies have revealed significant concerns about the quality and reliability of Life Cycle Inventory (LCI) data, highlighting the risk of inaccuracies that could undermine LCA outcomes and produce misleading conclusions. This situation underscores the critical need for stringent data quality assurance. This study aims to critically assess LCI data quality for composite materials to enhance reliability and utility of LCA in promoting sustainable industry development. Objectives include reviewing …

A New Optimization Approach Based On Neural Architecture Search To Enhance Deep U-Net For Efficient Road Segmentation, Narges Saeedizadeh, Seyed Mohammad Jafar Jalali, Burhan Khan, Parham Mohsenzadeh Kebria, Shady Mohamed

Research outputs 2022 to 2026

Neural Architecture Search (NAS) has significantly improved the accuracy of image classification and segmentation. However, these methods concentrate on finding segmentation structures for natural or medical applications. In this study, we introduce a NAS approach based on gradient optimization to identify ideal cell designs for road segmentation. To the best of our knowledge, this work represents the first application of gradient-based NAS to road extraction. Taking insight from the U-Net model and its successful variations in different image segmentation tasks, we propose NAS-enhanced U-Net, illustrated by an equal number of cells in both encoder and decoder levels. While cross-entropy combined …

The Last Resort: Reducing Avoidable Employee Harm By Improving The Application Of The Disciplinary Policy And Process, Andrew Cooper, Kevin Rui-Han Teoh, Ruth Madine, Adrian Neal, Aled Jones, Ammarah Hussain, Doris A. Behrens

School of Nursing and Midwifery

Introduction: There is growing evidence within the healthcare sector that employee investigations can harm individuals involved in the process, an organization’s culture and the delivery of its services.MethodsThis paper details an intervention developed by an NHS Wales organization to reduce the number of its employee investigations through an organization-wide focus that promoted a ‘last resort’ approach and introduced the concept of ‘avoidable employee harm’. A range of associated improvement initiatives were developed to support behavior change among those responsible for determining whether an employee investigation should be initiated.Results: Over a 13-month period, organizational records showed an annual reduction of 71% …

The Examination Of The Mathematical Calculation On Premium Reserve Modifications For Endowment-Life Insurance Products, Farisa Salwa Fatimah, Debrina Ferezagia, Wira Darmiza

Jurnal Administrasi Bisnis Terapan

Insurance offers numerous advantages in managing the diverse dangers it encounters. The level of compensation provided is contingent upon the magnitude of the premium remitted. A fraction of the premium collected by the company must be allocated as a premium reserve to ensure that the company will not have any challenges in settling future claims. The calculation of premium reserves is performed through the utilization of prospective and retrospective reserve methods, which rely on net premiums as the foundation for the computation. The premium reserve calculation approach employs both the Canadian and Full Preliminary Term methodologies. The objective of this …

Corrigendum To “Evaluation Of Operational Performance Of Wusongkou Cruise Port Through Network Data Envelopment Analysis”

Journal of Marine Science and Technology–Taiwan

No abstract provided.

Memetic Memory As Vital Conduits Of Troublemakers In Digital Culture, Alexander O. Smith, Jordan Loewen-Colón

School of Information Studies - Post-doc and Student Scholarship

Recent fears of data capitalism and colonialism often argue using implicit assumptions about cybernetic technology’s ability to automate data about culture. As such, the level of data granularity made possible by cybernetic engineering can be used to dominate society and culture. Here we unpack these implicit assumptions about the datafication of culture through memes, which both act as cultural data and cultural memory. Using Alexander Galloway’s critical method of protocological analysis and descriptions of media tactics, we respond to fears of cybernetic domination. Protocols – the source by which cybernetic technologies enable automated datafication – enables us to respond to …

Implementing Interdisciplinary Sustainability Education With The Food-Energy-Water (Few) Nexus, Chelsie Romulo, Bhawani Venkataraman, Susan Caplow, Shamili Ajgaonkar, Craig R. Allen, Aavudai Anandhi, Steven W. Anderson, Caterina Belle Azzarello, Katja Brundiers, Eunice Blavascunas, Jenny M. Dauer, Daniel L. Druckenbrod, Ennea Fairchild, Lydia R. Horne, Kyungsun Lee, Marizvkuru Mwale, John Mischler, Emily Pappo, Nirav S. Patel, Nicole D. Sintov, Carla S. Ramsdell, Shirley G. Vincent

GGS Faculty Publications

Growth in the green jobs sector has increased demand for college graduates who are prepared to enter the workforce with interdisciplinary sustainability skills. Simultaneously, scholarly calls for interdisciplinary collaboration in the service of addressing the societal challenges of enhancing resilience and sustainability have also increased in recent years. However, developing, executing, and assessing interdisciplinary content and skills at the post-secondary level has been challenging. The objective of this paper is to offer the Food-Energy-Water (FEW) Nexus as a powerful way to achieve sustainability competencies and matriculate graduates who will be equipped to facilitate the transformation of the global society by …

2024 July 18 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

Using Cache Files To Improve The Efficiency Of The Ucgretina Simulation Code, Blake Mcnulty

Physics and Astronomy Summer Fellows

UCGretina is a program that is used to simulate the Gretina gamma-ray tracking array used in experiments at the Facility for Rare Isotope Beams (FRIB) to collect gamma rays produced in reactions such as proton scattering. This is done by generating a simulation of the beam particles used and sending them into a simulated recreation that mimics the experimental environment. My job this summer was to tackle a major issue that the program had which is the speed or efficiency at which it ran. The main issue was that it would take days for certain simulation sets to run which …

A Case Study On Optimizing Industrial Air Conditioning With Thermal Solar Energy In Egypt, Tamer Adel Mohamed, Hesham Safwat, Mohammed A. Ebaid

Mechanical Engineering

This study investigates the feasibility of implementing a solar-assisted adsorption chiller in an industrial building at the Oriental Weavers International factory located in 10th of Ramadan City, Cairo, Egypt. The objective is to replace an inefficient split air conditioning system currently used to cool the Jacquard units during carpet manufacturing. The research begins by analyzing the performance of the existing cooling system to establish a baseline. It then explores the potential energy savings achievable by replacing the current system with a solar-assisted adsorption chiller. The existing oversized boiler will serve as an auxiliary heater for the new system. TRNSYS simulation …

A Qualitative Study On The Integration Of Artificial Intelligence In Cultural Heritage Conservation, Kholoud Ghaith, James Hutson

Faculty Scholarship

The widespread adoption of generative artificial intelligence (GAI) technologies heralds an era of expanding possibilities in the domain of cultural heritage conservation. This paradigm shift is marked by a confluence of innovative methodologies, including digital twin mapping, digital archiving, and enhanced preservation strategies, aimed at safeguarding the vestiges of our shared past. The application of AI within this field represents a frontier where technology and tradition intersect, offering new vistas for the preservation of historical structures and artifacts that are at risk of deterioration or oblivion. This article endeavors to elucidate the perspectives of professionals within the conservation domain on …

Examining Severing Dynamics Of Cytoskeletal Structures Using Computational Methods, Arthur Peterson Miller

Theses

Within eukaryotic cells, cytoskeletal structures are a category of organelles that serve functions ranging from supporting cell geometry to locomotion. These functions require a coordinated effort of regulatory proteins, which interact with the cytoskeleton distinctively. Severing proteins, which can fragment cytoskeletal structures at their binding sites, are one such example. In this work, using stochastic modeling, we model the interaction of severing proteins on bare cytoskeletal filaments and bundled filaments, which are larger collections of individual filaments. We focus on two types of cytoskeletal protein structures in this work: cylindrical microtubules and linear actin filaments. In the case of microtubules, …

The Role Of Cognitive Sharing In Enhancing The E-Learning Quality An Analytical Study Of A Sample Of Iraqi Universities, Hanan Mazin Ibrahim, Salah Abd- Alqadeer Ahmed Al- Nuiami

Journal of Economics and Administrative Sciences

The world faced many communication challenges in 2020 after the Covid-19 pandemic, the most important of which was the continuation of schooling. Therefore, the research aimed to analyze the current reality of the studied universities in terms of strengths and weaknesses and measure the implementing level of quality requirements of e-learning. This research studies the impact of knowledge sharing in its dimensions (behavior, organizational culture, work teams, and technology) on the e-learning quality and its dimensions (e-learning management, educational content, evaluation ,and evaluation). After conducting the survey, there was a difference in the universities’ application of the quality requirements of …

The Role Of Dacum Method In Designing Training Programs In Security Institutions: An Empirical Research In Iraqi National Security Services, Mustafa Ameer Abbas, Mazin Dawood Salman

Journal of Economics and Administrative Sciences

The current research has aimed to achieve a set of main objectives, which include diagnosing training needs based on their dimensions (identifying training needs, training planning, training content, training implementation, training evaluation, and feedback). This research focused on the necessary factors required to apply Developing Curriculum (DACUM) method in designing training programs according to the requirements and needs of security institutions in Iraq. The researcher assumed that there is a significant effect of DACUM method with its five dimensions (analysis, design, development, implementation, and evaluation) on designing the training program with its six dimensions (identifying training needs, training planning, training …

Evaluating And Prioritizing The Sustainable Supply Chain Management Practices In Food Industry, Shaymaa Abdulqader Mansoor, Harith Yarub Maan

Journal of Economics and Administrative Sciences

The companies are now aiming to integrate the concept of Sustainability Supply Chain Management (SSCM) into their work to improve operational and financial performance. The current study seeks to present and define the concept of the Supply Chain (SC) importance. The problem of this research it’s to determine the importance of sustainability criteria is that most companies face. A fuzzy Analytic Hierarch Process (FAHP)was used to find the relative importance of the main and sub-criteria for sustainability by establishing a program on Microsoft office Excel (MSEXCEL) to find the results and determine the importance of the main and sub-criteria based …

The Evaluation Of Quality Engineering For Supply Chain Operations In Khan Dhari Silo / Case Study, Muhammad Hardan Sultan, Batool Attia Khalaf

Journal of Economics and Administrative Sciences

The study aims to search for mechanisms to improve the supply chain operations in the silo of Khan Dhari by applying the requirements of quality engineering and focusing on the axes of design, human engineering and value engineering, which are among the most important axes concerned with quality engineering in the silo. The case study approach was relied upon as an approach that helps in the comprehensive and in-depth analysis of the research problem, and the researcher relied on checklists in collecting and analyzing data. The research problem is summarized in the main question (there are failures and stops in …

The Impact Of Financial Development On Bank Investment In Iraq, Yasser Ghanem Yahya, Mohammed Saleh Salman Al-Kubaisi

Journal of Economics and Administrative Sciences

Theoretically, the literature indicates that financial development has a positive effect on investment. therefore this study aim to determine the impact of the financial development on investment banking in iraq, during the semi-annual period (2005-2021) using autoregressive distributed lag (ardl), and using the toda yamamoto causal test, the result of the bound test (ardl) showed a long-term cointegration relationship between variables , the model showed that the financial depth positively affect the investment banks against the negative effect of the long-term financial stability index, while toda yamamoto causal test showed that there is no causal relationship between financial development and …

Impact Of Public Debt Refinancing Techniques On Managing Public Budgeting In Iraq: An Analytical Study, Noor Abdul Razaq Abdul Wahaab, Azhar Hasan Hasan Ali

Journal of Economics and Administrative Sciences

The use of public debt by the state as a primary financial instrument is an essential strategy for directing economic activity, ensuring economic stability, and fostering economic growth. Despite this, as the levels of public debt continue to climb, governments are increasingly resorting to debt refinancing methods that are focused on either replacing or rescheduling current debt or converting to a new kind of creditor via investment and securitization investment vehicles to relieve the burden of their debt. Utilization of these instruments is essential for effective management of the overall budget. The discovery that debt scheduling and the debt sustainability …

The Efficiency Of Domestic Savings And Its Impact On The Average Per Capita Gdp In Iraq For The Period (2003-2022), Sabah Rabah Al-Harishawi, Saja Fadhil Jawad Al-Dahlaki

Journal of Economics and Administrative Sciences

Local savings are an essential source for financing sustainable development. The research is based on careful analysis due to the importance of local savings in the Iraqi economy for the period (2003-2022) to provide the necessary local financing necessary for development investments in infrastructure and investments that enhance economic growth and productivity, generate job opportunities, and achieve The goals and indicators of sustainable development and the extent of the efficiency of those local savings and their impact on the average per capita share of GDP. The research aims to examine the effect of the efficiency of local savings on the …

The Impact Of Management Information Systems On Security Decision-Making: An Analytical Research For A Sample Of Security Services Officers At Al-Muthana Governorate, Ahmed Maraid Muhail, Yousif Aftan Abdullah

Journal of Economics and Administrative Sciences

The current research aims to identify the extent of the impact of management information systems on the level of security decision-making among a sample of security services officers in Muthana Governorate, and the researcher used the descriptive analytical approach to present, analyze and then explain the information, and collect data through the questionnaire as a main tool, designed based on international standards after making amendments to its paragraphs consisting of (40) paragraphs that included the two research variables, as well as through the field coexistence of the researcher and personal interviews, and the questionnaire was distributed to all research community …

Constructing A Hybrid Algorithm To Model The Physical And Chemical Inspection Station Data Of The Shatt Al-Arab Waters, Ahmed Husham Mohammed, Marwan Abdul Ashour

Journal of Economics and Administrative Sciences

The aim of this paper is to find a hybrid method between of statistical methods that deal with non-linear high-dimensions. The data often suffer from complexity and overlap problems in their mathematical functions. It is difficult to delineate or accurately determine the effect of each variable on the other, accordingly it was constructing a hybrid model between the KPCA and FCM methods. The KPCA method aims to address the problem of high-dimensional nonlinear data and reduce it by finding a kernel matrix that depends primarily on the smoothing parameter matrix that was estimated using the ROT method. Then, the FCM …

Using The Weibull Distribution To Analyze The Reliability Of Water Turbidity Removal And The Amount Of Chlorine Remaining In The Water After Treatment, Mohammed Jumaa Samih, Iqbal Mahmoud Alwan

Journal of Economics and Administrative Sciences

All water treatment centers in Iraq operate according to the standards specified in the legal regulations. Therefore, periodic evaluations must be conducted to study and analyze the quality of the outputs of these centers. The research used the two-parameter Weibull distribution to evaluate the reliability of turbidity removal and residual chlorine in the water at the Rashidiya water center in Baghdad, Iraq. The distribution parameters were estimated using the Maximum Likelihood method with the Matlab 2022 program, and the chi-square test for Goodness of Fit was used at a significant level of 0.05. The study found that the mean (and …

The Use Of The (Tobit) Model In Studying The Variables Affecting The Increase In The Number Of People With Systolic Hypertension, In The Presence Of The Problem Of Heterogeneity Of Random Error Variance, Mustafa Hasan Dari, Baydaa Ismael Abdul Wahhab

Journal of Economics and Administrative Sciences

The process of regression analysis is based on a number of basic assumptions, and if one of these assumptions is not available, this will lead to obtaining inaccurate results, and the most of these assumptions is homoscedasticity, violating this assumption causes a problem of heteroscedasticity of the random error variance the, which may come from different variances This cause to misleading and inaccurate decisions. Recently Econometric models received attention, especially limited regression models, which contain specific response variables and several repeated observations within a certain range, including Tobit models and also considered imitations of the Censored Regression Model. Problem arise …

Risk Of Invasive Waterfowl Interaction With Poultry Production: Understanding Potential For Avian Pathogen Transmission Via Species Distribution Models, Reilly T. Jackson, Percival Matzinger Marshall, Chris R. Burkhart, Julia Schneck, Grant Kelly, Caleb P. Roberts

Biological Sciences Faculty Publications and Presentations

Recent outbreaks of highly pathogenic avian influenza have devastated poultry production across the United States, with more than 77 million birds culled in 2022–2024 alone. Wild waterfowl, including various invasive species, host numerous pathogens, including highly pathogenic avian influenza virus (HPAIV), and have been implicated as catalysts of disease outbreaks among native fauna and domestic birds. In major poultry-producing states like Arkansas, USA, where the poultry sector is responsible for significant economic activity (>$4 billion USD in 2022), understanding the risk of invasive waterfowl interactions with domestic poultry is critical. Here, we assessed the risk of invasive waterfowl-poultry interaction …

Woven Fabrics For Composite Reinforcement: A Review, Indraneel Chowdhury, John Summerscales

School of Engineering, Computing and Mathematics

Fibres in different textile forms (woven, knitted, stitched, and non-crimp) are used to reinforce composites for multifaced applications, including automotive, aerospace, marine, rail, energy, construction, and defence sectors. Textile fabric-based fibre reinforcements for composites possess some outstanding features, such as good dimensional stability, subtle conformability, deep draw moldability/processability, lightweightness, high strength and stiffness, and low cost. The greatest advantage of textile fibre-reinforced composites is the freedom to tailor their strength and stiffness properties for specific applications. Therefore, the design of composites involves defining the fabric geometry, stacking sequence, and orientation of fibres to optimise the system. Compared to knitted, stitched, …

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 …

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 …

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 …