Digital Commons Network^™

Effect Of Electronegativity On Environmentally Persistent Free Radical (Epfr) Formation, Persistence, And Toxicity On Transition Metal Oxides, Syed Monjur Ahmed

LSU Doctoral Dissertations

Environmentally persistent free radicals (EPFRs) are a group of emerging environmental pollutants. Owing to their resonance structures, EPFRs have significantly higher lifetimes than typical free radicals, and can induce the formation of reactive oxygen species (ROS) known to cause pulmonary and cardiovascular dysfunction. EPFRs form by the adsorption of organic precursors on a transition metal oxide (TMO) surface and exhibit enough stability to cause negative health and environmental effects. While aromatic and substituted aromatic precursors form EPFRs on TMO surface at elevated temperatures and numerous substituted organics are ubiquitous in various industrial processes and household products, studies have largely overlooked …

Media Framing Of Environmental Issues In Jordanian Digital Newspapers, Ramez Abuhasirah, Rasha Salameh

Middle East Journal of Communication Studies

This study investigated media framing of environmental issues in Jordanian digital newspapers. The study employed a media survey approach with content analysis of 335 journalistic articles published on the websites of three major Jordanian newspapers (Al-Ghad, Al-Dustour, Al-Rai) from January 1, 2022, to June 30, 2022. Multi-stage sampling ensured representativeness. Results showed all three Jordanian digital newspapers addressed environmental issues, with Al-Ghad leading (40%), followed by Al-Dustour (31%) and Al-Rai (29%). The study found a diversity of sources in journalistic treatment (officials: 29%, news agencies: 18.5%, journalists: 12.8%). Climate change (23.1%), water resources (17.3%), and food security (14.1%) were the …

University Students' Reliance In Hebron Governorate On Social Media As A Source Of Information About The October 7, 2023 War: A Field Study, Asmaa Musa Al-Adam, Sulaika Muhammad Al-Qadi

Middle East Journal of Communication Studies

The study aimed to determine the extent to which university students in Hebron Governorate rely on social media platforms for coverage of the October 7th war. This study follows descriptive research, using a media audience survey methodology. Data were collected using a questionnaire administered to a random sample of university students in Hebron Governorate, consisting of 211 students. The study reached several conclusions most notably: that the reliance of university students in Hebron Governorate on social media to follow news about the war on Gaza is high, with a percentage of 69.5%. The study also showed that there are cognitive, …

Tackling Selfish Clients In Federated Learning, Andrea Augello, Ashish Gupta, Giuseppe Lo Re, Sajal K. Das

Computer Science Faculty Research & Creative Works

Federated Learning (FL) is a distributed machine learning paradigm facilitating participants to collaboratively train a model without revealing their local data. However, when FL is deployed into the wild, some intelligent clients can deliberately deviate from the standard training process to make the global model inclined toward their local model, thereby prioritizing their local data distribution. We refer to this novel category of misbehaving clients as selfish. in this paper, we propose a Robust aggregation strategy for the FL server to mitigate the effect of Selfishness (in short RFL-Self). RFL-Self incorporates an innovative method to recover (or estimate) the true …

A Phenomenological Study Of Persistence For Black Women In Mathematics Doctoral Programs, Shushannah Marie Smith

Doctoral Dissertations and Projects

The purpose of this phenomenological study was to describe the doctoral persistence experiences of Black women mathematicians. Guided by McGee’s fragile and robust mathematical identity framework, the research design followed Moustakas’ qualitative transcendental phenomenological approach. The researcher explored the contributing factors to the phenomenon guided by the central research question, “What are the doctoral persistence experiences of Black women mathematicians?” The study involved 11 Black women participants who hold or were within one year of holding a doctoral degree in mathematics and were selected to ensure diversity and representativeness. Data collection encompassed three methods: a mathematical identity development timeline, one-on-one …

Enhanced Lithological Mapping In Arid Crystalline Regions Using Explainable Ai And Multi-Spectral Remote Sensing Data, Hesham Morgan, Ali Elgendy, Amir Said, Mostafa Hashem, Wenzhao Li, Surendra Maharjan, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Lithological classification is essential for understanding the spatial distribution of rocks, especially in arid crystalline areas. Artificial intelligence (AI) recent advancements with multi-spectral satellite imagery have been utilized to enhance lithological mapping in these areas. Here we employed different AI models namely, Support Vector Machine (SVM), Random Forest Classification (RFC), Logistic Regression, XGBoost, and K-nearest neighbors (KNN) for lithological mapping. This was followed by the application of explainable AI (XAI) for lithological discrimination (LD) which is still not widely explored. Based on the highest accuracy and F1 score of the previously mentioned models, RFC model outperformed all of them, and …

Tradeoffs Of Generalization, Kyra M. Abrams, Peter T. Darch

I-GUIDE Forum

Models used in geospatial data science are often built and optimized for a specific local context, such as a particular location at a point in time. However, upon publication, these models may be generalized beyond this context, reused in research simulating or predicting other times and places. Without sufficient information or documentation, bias embedded in these models can in turn result in bias in the reuser’s research outputs. Drawing on a long-term qualitative case study of aging dams researchers and developers of models used by these researchers, we find significant documentation gaps. We combine a literature-based genealogy with interviews with …

Inter-Provincial Spatial Coupling Of Paddy Fields In China Has Accelerated The Water Consumption, Wenguang Chen, Wencai Zhang, Ming Lei, Ruqian Zhang, Zhenting Zhao, Enyi Xie, Jing Zhao, Xiangbin Kong

I-GUIDE Forum

Rice trade has played a significant role in ensuring global rice consumption security. However, the spatial coupling of paddy fields based on rice trade can also transfer ecological environmental effects and threaten the sustainability of local systems. As the largest rice producer and consumer in the world, as well as one of the countries with the lowest per capita water resources, studying the inter-provincial rice flow in China and its water resource utilization efficiency is of great significance for ensuring national rice security and water resource security. Research has found that, China's rice consumption decreased by 11.97 Mt from 2000 …

Sustainable Cities; A Case Study Analysis Of Chesapeake, Va, Blaizen B. Bloom

OUR Journal: ODU Undergraduate Research Journal

This paper is a case study analysis of the City of Chesapeake, VA. Its purpose is to examine the influence between the City's actions and its impact on the Chesapeake Bay. Additionally, an analysis of future climate change impacts on the City of Chesapeake and the Chesapeake Bay in building an environmentally, economically, and socially sustainable City.

Social Isolation And Loneliness Prevention Among Rural Older Adults Aging-In-Place: A Needs Assessment, Jodi L. Southerland, Shimin Zheng, Kayla Dodson, Erin Mauck, Juanita-Dawne R. Bacsu, Monique J. Brown Ph.D., Mph, Jeremy Holloway, Steffi M. Kim, Ayse Malatyali, Matthew Lee Smith

Faculty Publications

Introduction: The adverse effects of social isolation and loneliness (SI/L) have been documented among older adults in rural communities and contribute to poor health outcomes, premature disability and mortality, and increased burden on the healthcare system. The identification of factors contributing to SI/L among older adults can build the foundation for rural policymakers and leaders to allocate resources and develop tailored strategies more efficiently. The purpose of this article is to describe findings from a needs assessment designed to understand local factors that contribute to SI/L among rural older adults in a county in Northeast Tennessee. Findings from the needs …

Essays On Information Technology In Healthcare, Gleb Zavadskiy

USF Tampa Graduate Theses and Dissertations

Information technologies (IT) and information systems (IS) have profound significance across various sectors of society, including healthcare, business, education, government, and beyond. First, IT facilitates instant communication globally through email, messaging apps, video conferencing, and social media, revolutionizing how individuals and organizations interact, collaborate, and share information (Hacker et al. 2020; Tang and Hew 2020).

Secondly, the Internet and digital libraries provide worldwide access to vast amounts of information, what makes knowledge and education available to everyone, empowering individuals to learn and stay informed on diverse topics (Haleem et al. 2022). Another aspect of IT systems in various industries is …

Effect Of Tiller Endophyte Infection Frequency And Nitrogen Fertilizer Rate Of Tall Fescue On Steer Performance Over Nine Seasons Of Grazing, J A. Stuedemann, S R. Wilkinson, D P. Belesky, F N. Thompson, D L. Breedlove, D M. Hildreth, H Ciordia, A H. Parks, C S. Hoveland, J Huang

IGC Proceedings (1977-2023)

Acremonium coenopliialium-infected tall fescue (Festuca arrundinacea Schreb.) is associated with animal health problems including reduced ,veight gains. Twelve 0.7 ha paddocks were used to study Kentucky- 31 tall fescue at low (LE=25%) or high (HE::58%) tiller endophyte (E) infection frequencies and fertilised with either 134 (LN) or 336, kg nitrogen/ha/year (HN) in a 22 factorial arrangement of treatments. Yearling Angus steers grazed under put-and-take management from April or May through late July or early August in each of nine years. In all except one year, ADG was lower (P<0.0769 to P<0.0018) on HE than LE. In 4 of 9 years, HN lowered (P<0.0821 to P<0.0003) ADG compared to LN. In only 2 of 9 years was there an NxE interaction (P<0,0537), the interactions expressing opposite effects when comparing the 2 years. In all but 3 years there was a linear (P<0.0606 to P<0.0019) relationship between endophyte infection rate and ADG. In only 1 of 9 years were quadratic effects significant (P<0.0407). Endophyte infestation consistently lowered steer AOG in a linear fashion with N effects less distinct,

10.14.2024 Orsp Connect, Liz Williamson

ORED Newsletter

IBC Changes and Updates

ARPA-H Planning New Funding Opportunity

Equipment Purchasing Training Available

The Association Between Oral Microbiome, Oral Inflammation, Periodontal Disease, And Systemic Metabolism In Individuals With/Without Type 1 Diabetes, Mianli Xiao

USF Tampa Graduate Theses and Dissertations

This study explores the associations between oral microbiomes, periodontal disease (PD), and systemic metabolism in individuals with and without Type 1 diabetes (T1D). Data were obtained from 208 participants (99 with T1D, 109 non-diabetic) in the Coronary Artery Calcification in Type 1 Diabetes (CACTI) pilot study and 283 participants from the Oral Microbiome ancillary cohort study. Both studies included the collection of saliva or subgingival plaque samples. Microbial DNA was extracted, and the V4 region of the 16S rRNA gene was sequenced using the Illumina MiSeq platform. Machine learning models, including Random Forest (RF) and Multi-layer Perceptron (MLP), were applied …

Treatment Recommendation Using Bert Personalization, J Jayapradha, Yukta Kulkarni, Lakshmi Vadhanie G, Palanichamy Naveen, Elham Abdulwahab Anaam

Journal of Informatics and Web Engineering

This research work develops a new framework that combines patient feedback with evidence-based best practices across disease states to improve drug recommendations. It employs BERT as its free-text processing engine to deal with sentiment judgment and classification. The functionality of the system, named `PharmaBERT`, includes acceptance of drug review data as a comprehensive input, drug categorization when dealing with a wide range of treatments and fine-tuning the BERT-based model for gaining positive or negative sentiment towards specific medications. PharmaBERT categorizes various drugs and fine-tunes the BERT structure to perceive lots of possible sentiments for specific medications. Consequently, PharmaBERT brings all …

Development Of Virtual Reality-Based Left Brain System, Kok An Teo, Kok Swee Sim, Chean Khim Toa, Kai Liang Lew

Journal of Informatics and Web Engineering

This paper proposes a virtual reality based Left Brain System named BrainUp World to improve left brain thinking. The left-brain system was employed with mobile virtual reality technology, hand motion tracking and haptic feedback system. The implementation of these systems is to enhance the experience and sense of embodiment. BrainUp World includes virtual reality-based brain training games to improve a person’s attention level, reasoning skill, auditory cognition, arithmetic skill, sequencing skill and memory. The hand tracking system was utilized with an IR camera to capture the hand orientation and return the gesture data to the VR application. A low-cost and …

Development Of Robot Feature For Stunting Analysis Using Long-Short Term Memory (Lstm) Algorithm, Muhammad Rahadian Abdurrahman, Halim Al Aziz, Farras Adhani Zayn, Muhammad Agus Purnomo, Heru Agus Santoso

Journal of Informatics and Web Engineering

Stunting prevalence in Indonesia persists as a significant challenge necessitating concerted efforts from all stakeholders. We developed robot for stunting analysis using deep learning algorithm. It aligns with the Sustainable Development Goal (SDG) agenda, specifically targeting SDG 3, which focuses on ensuring good health and well-being for all. Long Short-Term Memory (LSTM) is a type of Recurrent Neural Network (RNN) designed to overcome the vanishing gradient problem in traditional RNNs. In general, either LSTM can be used in analysis. This study aims to classify stunting based on age and height using LSTM. The LSTM model was trained with 50 epochs …

Cyber-Securing Medical Devices Using Machine Learning: A Case Study Of Pacemaker, Suliat Toyosi Jimoh, Shaymaa S Al-Juboori

Journal of Informatics and Web Engineering

This study aims to enhance the cybersecurity framework of pacemaker devices by identifying vulnerabilities and recommending effective strategies. The objectives are to pinpoint cybersecurity weaknesses, utilize machine learning to predict security breaches, and propose countermeasures based on analytical trends. The literature review highlights the transformation of pacemaker technology from basic, fixed-rate devices to sophisticated systems with wireless capabilities, which, while improving patient care, also introduce significant cybersecurity risks. These risks include unauthorized entry, data breaches, and life-threatening device malfunctions. The methodology in this study utilizes a quantitative research approach using the WUSTL-EHMS-2020 dataset, which includes network traffic features, patients' biometric …

Editorial Preview, Su-Cheng Haw

Journal of Informatics and Web Engineering

Effective from Volume 3, JIWE has transitioned to a triannual publication release effort. Specifically, releases occur each February, June, and October. This particular October 2024 release contains 12 papers within the regular section that covers a broad range of application concerning Machine Learning (ML), Artificial Intelligence (AI), Data Mining (DM), Software Engineering, Recommender Systems, Cybersecurity, Healthcare, and other key areas in web engineering. Additionally, this edition presents a captivating collection of 7 papers curated by our Thematic Editor, Dr. Ji-Jian Chin, under the theme "Pervasive Computing." In his editorial, Dr. Ji-Jian Chin highlights cutting-edge research on the integration of computing …

Comparative Analysis Of Linear And Nonlinear Semg Methods For Detecting Muscle Fatigue During Dynamic Biceps Curls, Tang Ming, Ling Weay Ang, Sellappan Palaniappan

Journal of Informatics and Web Engineering

Muscle fatigue, a key concern in sports science, rehabilitation, and occupational health, influences performance, injury risk, and provides insights into muscle functionality and endurance. Surface electromyography (sEMG) has emerged as a vital tool for non-invasively tracking muscle electrical activity and gauging health. As its application for muscle fatigue assessment grows, identifying the most accurate analytical methods is essential. Current sEMG analyses employ both linear and nonlinear metrics to measure fatigue onset and progression, yet research is ongoing to determine which method is most effective in the context of dynamic contractions. The study was aimed to evaluate the efficacy of established …

Pi Class – A Revolutionary Step Forward In Hybrid Class Management System, Qasim Hassan, Nabiha Faisal, Ayesha Anees Zaveri

Journal of Informatics and Web Engineering

The COVID-19 pandemic has caused widespread disruptions globally, resulting in a state of health emergency with numerous deaths reported and an overall implementation of quarantine and isolation. Strict lockdowns have been implemented to curb the spread of the virus, requiring social distancing and limiting physical interactions. These measures had far-reaching impacts on all aspects of life, including education. Education was one of the most affected sectors, with difficulty delivering quality education in schools, colleges, and universities. It was hard to provide quality education, a basic need of humanity. In this research paper, we propose an adequate solution to overcome the …

Investigation On Understanding The Numeracy Capacity Of Intellectual Disabled Students Using Enabling Technology Tools: Web Application, Ar And Ui/Ux, Vishvjit Thakar, Romany Thakar, Pratik Vyas

Journal of Informatics and Web Engineering

The population of individuals with intellectual disabilities (ID) is increasing, necessitating assistance with a wide range of daily activities. Acquiring and assessing numeracy and communication skills are critical for this demographic, requiring tools and techniques tailored to their specific needs. Effective educational tools must employ multi-modal and multi-sensory approaches to cater to diverse learning styles and incorporate assistive technological solutions. Despite the availability of numerous tools, there is a need to enhance their utility and effectiveness. This study aims to identify and refine the requirements for an innovative educational tool that employs Two-dimensional (2D) and Augmented Reality (AR) technologies. To …

Editorial: Artificial Intelligence And Cybersecurity In Pervasive Computing, Ji-Jian Chin

Journal of Informatics and Web Engineering

Pervasive computing, or ubiquitous computing, is rapidly increasing in capacity and capabilities. With the Internet of Things (IoT) becoming an integral part of daily life and the growing availability of edge computing resources, automation guided by data is advancing applications in healthcare, manufacturing, automotive, and other areas. It's natural that pervasive computing will intersect with artificial intelligence (AI) and cybersecurity. AI can improve detection, prediction, and anticipative responses to human needs, while cybersecurity addresses topics like misuse prevention, ethics, policies, and governance. This issue features seven articles on these intersections, including four AI articles exploring natural language processing and computer …

Hybrideval: An Improved Novel Hybrid Metric For Evaluation Of Text Summarization, Raheem Sarwar, Bilal Ahmad, Pin Shen Teh, Suppawong Tuarob, Tipajin Thaipisutikul, Farooq Zaman, Naif R. Aljohani, Jia Zhu, Saeed-Ul Hassan, Raheel Nawaz, Ali R Ansari, Muhammad A B Fayyaz

Journal of Informatics and Web Engineering

The present work re-evaluates the evaluation method for text summarization tasks. Two state-of-the-art assessment measures e.g., Recall-Oriented Understudy for Gisting Evaluation (ROUGE) and Bilingual Evaluation Understudy (BLEU) are discussed along with their limitations before presenting a novel evaluation metric. The evaluation scores are significantly different because of the length and vocabulary of the sentences, this suggests that the primary restriction is its inability to preserve the semantics and meaning of the sentences and consistent weight distribution over the whole sentence. To address this, the present work organizes the phrases into six different groups and to evaluate “text summarization” problems, a …

The Role Of Jordanian Television Programs In Raising Awareness About Mental Health From The Perspective Of Psychiatrists, Yasmine Hamza Badis, Saddam Suleiman Salman Almashaqbeh

Middle East Journal of Communication Studies

The study aimed to identify the role of Jordanian television programs in raising awareness of mental health from the perspective of psychiatrists. The sample of the study was composed of 153 members from the Jordanian Association of Psychiatrists affiliated with the Jordanian Medical Association. To achieve the goal of this study, the descriptive approach was followed, and the study relied on the questionnaire as a tool for collecting data. The results of the study showed that the role of Jordanian television programs in raising awareness about mental health from the Perspective of psychiatrists was medium, and the diversity of features …

Scaling Individual Tree Transpiration With Thermal Cameras Reveals Interspecies Differences To Drought Vulnerability, Mostafa Javadian, Donald M. Aubrecht, Joshua B. Fisher, Russell L. Scott, Sean P. Burns, Jen L. Diehl, J. William Munger, Andrew D. Richardson

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Understanding tree transpiration variability is vital for assessing ecosystem water-use efficiency and forest health amid climate change, yet most landscape-level measurements do not differentiate individual trees. Using canopy temperature data from thermal cameras, we estimated the transpiration rates of individual trees at Harvard Forest and Niwot Ridge. PT-JPL model was used to derive latent heat flux from thermal images at the canopy-level, showing strong agreement with tower measurements (R2 = 0.70–0.96 at Niwot, 0.59–0.78 at Harvard at half-hourly to monthly scales) and daily RMSE of 33.5 W/m2 (Niwot) and 52.8 W/m2 (Harvard). Tree-level analysis revealed species-specific responses to …

Trichloroethylene (Tce) Metabolite S-(1,2-Dichlorovinyl)-L-Cysteine (Dcvc) Inhibits Lps-Stimulated Cxcl-2 Production In Thp-1 Cells, Erica Boldenow, Karena Moleakunnel, Audrey Luce, Lyric Johnson, Eleanor Scheeres

University Faculty Publications and Creative Works

Michigan Society of Toxicology Fall 2024 Meeting

Irrigation Companies And The Great Salt Lake: Managing Water In Utah Amidst Climate Change, Chloe Francis, Kendall Becker, Matt Yost, Scott Hotaling

All Current Publications

The Great Salt Lake, a key ecosystem and major component of Utah’s identity and economy, is threatened by rapidly declining water levels. This problem has caused widespread and ongoing concern from the public, and the Utah Legislature is faced with making water allocation and management decisions to adapt to the state’s growing population and changing environment. One important group in this discussion is irrigation companies. Here, we examine how irrigation companies receive and maintain water rights in Utah, their significant role in water management, and recent legislative efforts to incentivize efficient water use so more water reaches the Great Salt …

Isolation And Characterization Of Fermenting Bacterial Isolates From Vinegar Industry Waste In Local Markets Of Wasit Province, Tayseer Shamran Al-Deresawi

Karbala International Journal of Modern Science

The use of waste in the vinegar industry is an important practice of the food industry worldwide; however, this critical practice is neglected in many parts of Iraq. According to this, the current study was conducted to isolate and characterize fermenting bacterial organisms from this waste in Wasit Province, Iraq. Samples of vinegar industry by-products were collected from local businesses. These samples were prepared by using Hestrin-Schramm (HS) medium. Two methods, direct and indirect inoculations, were followed. The purified growth was examined using morphological and biochemical tests. Moreover, PCR was employed to confirm the identity of each bacterial isolate. The …

Evaluation Of Virtual Distance Learning And Teaching In The Architectural Design Studio Experience Of Professors And Students Of The College Of Architecture And Planning - Qassim University - Kingdom Of Saudi Arabia., Abdulaziz Ibrahim Alhrabi

Journal of Engineering Research

The paper deals with the evaluation of distance learning of the architectural design studio during the Corona pandemic, and the extent to which distance learning and teaching were achieved between the professor and the student. The paper aims to share and evaluate the experience of distance learning and teaching of the architectural design studio, in the College of Architecture and Planning at Qassim University. The research problem is that the Corona virus crisis generates many ideas for educational programs and media, but there is a deficiency in knowledge of many programs that achieve the continuity of the educational process remotely, …