Digital Commons Network^™

23 Conference Program - International Hydrogen Conference Understanding Hydrogen-Materials Interactions, Jimmy Burns, May Martin

International Hydrogen Conference: Understanding Hydrogen-Materials Interactions

No abstract provided.

The Daily Gamecock, September 2023, University Of South Carolina, Office Of Student Media

September

No abstract provided.

Structural Features Of Thyroglobulin Linked To Protein Trafficking, Cintia E. Citterio, Kookjoo Kim, Bhavana Rajesh, Kevin Pena, Oliver Biggs Clark, Peter Arvan

Pharmacy Faculty Articles and Research

Thyroglobulin must pass endoplasmic reticulum (ER) quality control to become secreted for thyroid hormone synthesis. Defective thyroglobulin, blocked in trafficking, can cause hypothyroidism. Thyroglobulin is a large protein (~2750 residues) spanning regions I–II–III plus a C-terminal cholinesterase-like domain. The cholinesterase-like domain functions as an intramolecular chaperone for regions I–II–III, but the folding pathway leading to successful thyroglobulin trafficking remains largely unknown. Here, informed by the recent three-dimensional structure of thyroglobulin as determined by cryo-electron microscopy, we have bioengineered three novel classes of mutants yielding three entirely distinct quality control phenotypes. Specifically, upon expressing recombinant thyroglobulin, we find that first, mutations …

First-In-Human Prospective Trial Of Sonobiopsy In High-Grade Glioma Patients Using Neuronavigation-Guided Focused Ultrasound, Jinyun Yuan, Lu Xu, Chih-Yen Chien, Yaoheng Yang, Yimei Yue, Siaka Fadera, Andrew H Stark, Katherine E Schwetye, Arash Nazeri, Rupen Desai, Umeshkumar Athiraman, Aadel A Chaudhuri, Hong Chen, Eric C Leuthardt

2020-Current year OA Pubs

Sonobiopsy is an emerging technology that combines focused ultrasound (FUS) with microbubbles to enrich circulating brain disease-specific biomarkers for noninvasive molecular diagnosis of brain diseases. Here, we report the first-in-human prospective trial of sonobiopsy in high-grade glioma patients to evaluate its feasibility and safety in enriching plasma circulating tumor biomarkers. A nimble FUS device integrated with a clinical neuronavigation system was used to perform sonobiopsy following an established clinical workflow for neuronavigation. Analysis of blood samples collected before and after FUS sonication showed that sonobiopsy enriched plasma circulating tumor DNA (ctDNA), including a maximum increase of 1.6-fold for the mononucleosome …

Design And Development Of Clinical Decision Support System For Breast Cancer Diagnosis Using Artificial Intelligence, Karthiga R

Theses and Dissertations

The prevalence of breast cancer in women worldwide is far higher than that of cancers of the lungs, brain, or liver. Increasing ageing populations and poor lifestyle habits among the general public, primarily in industrialized nations, are significant factors contributing to the rise in cancer-related mortality rates worldwide. Approximately one woman in every three will develop breast cancer. This research proposes several advanced computer methods for analyzing breast cancer images. This work analyses breast cancer in four imaging modalities: mammography, thermography, ultrasonography and histopathology.

Each modality has some limitations in diagnosing tumors in the breast region. Heavy dose in mammogram …

Dynamic Skin Strain Fields In The Lumbar Region During Functional Movement, Andrew Gibbons, Anton Bowden, Ulrike H. Mitchell, David T. Fullwood

Student Works

Increasing efforts to leverage skin mounted wearables has exposed a gap in our understanding of skin strain in the lumbar region. Lumbar skin is known to be both inhomogenous and anisotropic, and experiences dramatic material strain during activities of daily living (ADLs). Previous efforts to quantify strain fields during ADLs has been limited to a few activities (primarily flexion) and have neglected inhomogeneity or anisotropy. The purpose of the present work was to address this gap by measuring large-deformation skin strain tensors in healthy volunteers during a cadre of functional movements.

36 tightly packed retro-reflective markers were mounted to the …

Risks From Spacecraft Breakup Events In Near Rectilinear Halo Orbits, Nathan R. Boone, Robert A. Bettinger, Bryan D. Little

Faculty Publications

Spacecraft breakup events were simulated in the vicinity of the Lunar Gateway’s Near Rectilinear Halo Orbit to evaluate the risk of debris collision with the station. The Monte Carlo simulations model the breakup of an object shortly after deployment from the Gateway, and using the propagated trajectories of over a million particles across 5,000 random breakup events, the likelihood of collision with the Gateway is statistically evaluated. Approaches within 10 km were observed for only 2.4% of the breakup events, suggesting a low risk of collision, but approaches at larger distances that might still generate a debris avoidance maneuver were …

Characterization Of An Mtbp Hypomorphic Allele In A Diethylnitrosamine-Induced Liver Carcinogenesis Model, Atul Ranjan, Elizabeth A. Thoenen, Atsushi Kaida, Stephanie Wood, Terry Van Dyke, Tomoo Iwakuma

Manuscripts, Articles, Book Chapters and Other Papers

MTBP is implicated in cell cycle progression, DNA replication, and cancer metastasis. However, the function of MTBP remains enigmatic and is dependent on cellular contexts and its cellular localization. To understand the in vivo physiological role of MTBP, it is important to generate Mtbp knockout mice. However, complete deletion of the Mtbp gene in mice results in early embryonic lethality, while its heterozygous deletion shows modest biological phenotypes, including enhanced cancer metastasis. To overcome this and better characterize the in vivo physiological function of MTBP, we, for the first time, generated mice that carry an Mtbp hypomorphic allele (MtbpH …

A Review Of The Role Of Tendon Stem Cells In Tendon-Bone Regeneration, Junjie Chen, Chuanfeng Jiang, Lu Yin, Yingqi Liu, Yue He, Sen Li, Huarui Shen

Faculty, Staff and Student Publications

Tendon-bone injuries are a prevalent health concern associated with sports and other physically demanding activities. These injuries have a limited innate healing ability, often leading to the formation of scar tissue rather than the regeneration of healthy tendon tissue. This scar tissue results from excessive fibrosis during the early healing process and often leads to reduced tendon function and an increased risk of reinjury. Traditionally, surgical reconstruction has been the primary treatment for tendon-bone injuries. However, restoring the natural structure and mechanical properties of tendons after surgical reconstruction presents a considerable challenge. Recently, the potential of stem cell therapy has …

China’S New Law On Foreign Relations: Transforming The Rules-Based International Order With Chinese Characteristics, Raul (Pete) Pedrozo

International Law Studies

In 2023 China adopted a comprehensive Law on Foreign Relations. Although the law is intended to shape China’s diplomatic relations and its cultural, economic, and other exchanges, as well as China’s relations with the United Nations and other international organizations, implementation of the law will be guided by (inter alia) Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era. The law makes clear that China’s foreign relations will be conducted to uphold its system of socialism with Chinese characteristics, safeguard its sovereignty, unification and territorial integrity, and promote its economic and social development. This revisionist “rule by …

Bridging The Gap Between Academic Research And Reduction To Practice: Manufacturing Scale-Up Of Polymeric Membranes For Water Treatment, David Lu, Isabel C. Escobar

Kentucky Water Resources Annual Symposium

No abstract provided.

Modeling, Managing, And Mitigating Stormwater Flooding Using A Real-Time Monitoring Network And Environmental Equity Approach, Ben Hauschild, Jason S. Polk, Trayson Lawler, Adam Desloge

Kentucky Water Resources Annual Symposium

No abstract provided.

A Neuro-Robotic Prosthetic Arm (Ruoko Bot), Fungai Jacqueline Kiwa

African Conference on Information Systems and Technology

This paper focuses on the provision of an affordable and less weight prosthetic arm for the Zimbabwean population. The research concentrated on improving the amputees’ living standards by means of providing them with a useful artificial arm which can perform tasks as a normal human arm. The literature review was thoroughly done by investigating the latest prostatic arms available in the market. The V-model or evolutionary prototyping was used in the research project to account for every component of the prosthetic limb. The V-model is a type of software development life cycle (SDLC) paradigm where processes run sequentially in a …

Stormwater Management Advances Using Smart Sensing Network Architecture For Precipitation Monitoring, Brittany Pekara, Jason S. Polk, James Adam Shelley

Kentucky Water Resources Annual Symposium

No abstract provided.

Development Of A Spatial And Statistical Diagnostic Tool To Prioritize Pfas Sample Locations In Kentucky Surface Waters, Ariel Robinson, Angela Gutierrez, Kelly G. Pennell

Kentucky Water Resources Annual Symposium

No abstract provided.

Developing An Integrative Theoretical Framework For Electronic Business Value Optimisation In Botswana, Meduduetso Tsumake-Tsiang, Adheesh Budree

African Conference on Information Systems and Technology

Organizations are trying to move quickly to adopt remote working policies into their organizations as to attract and retain top talent, reduce office space costs, and increase productivity. As many of these strategies were quickly adopted by South African ICT organizations during the COIVD-19 pandemic, organizations are still somewhat unclear on what their role is with regards to ensuring long term adoption of remote working. Thus, this study explored the role of the organization with regards to a work-from-home strategy. It was found that the organization is responsible for formalizing the chosen strategy, creating supportive policies, and adapting its management …

A Flood Of Consequences In Louisville, Kentucky: Using Hgis To Track Refugees Impacted By The 1937 Ohio River Flood, Trevor Harry, Margaret M. Gripshover

Kentucky Water Resources Annual Symposium

No abstract provided.

Sentiment Analysis And Classifying Hashtags In Social Media Using Data Mining Techniques, G. Kassem, E. Asfoura, B. Alhuthaifi, J. J. C. Gallego, F. Balhaj

Information Sciences Letters

Big data is one of the important topics which is still open for a wide range of applications for extracting useful information and knowledge for supporting organizations by planning and decision-making. Social media as a technology is an important resource of data, especially because it has been widely used in the last years. A Hashtag is recently one of the most popular features provided by Social media and is used by most social media users to express, share, and retrieve opinions and feelings regarding a specific theme. Hashtag features in social media are used more and more in recent years …

Post-Photography: The Disruption Effect Of Artificial Intelligence On Photography For Product Advertising, Prayanto W. Harsanto, Jalung W. Jakti

Information Sciences Letters

This study aims to understand visual phenomena by describing and analysing artificial intelligence (AI) technology in photography for product advertising. The focus of the study is the influence of these technological advances on significant changes in the advertising world. Initially, photography represented a reality that described facts, but artificial intelligence imaging has shifted the understanding of the concepts underlying photography. Visual Methodologies are used to identify, describe, and explain systemically. Data were collected by observing, documenting, interviewing, and questionnaires. The socio-technological approach is used to reveal the influence of technological developments on social problems and the phenomenon of advertising photography …

A Novel Method For Banknote Recognition Using A Combined Histogram Of Oriented Gradients And Scale-Invariant Feature Transform, Gawaher S. Hussein, Sherif Elseuofi, Wathiq H. Dukhan, Asmaa H. Ali

Information Sciences Letters

Automated banknote recognition systems are essential for people with visual impairments who face challenges distinguishing between different currency denominations. This study presents a novel method aimed at helping blind people identify banknotes from three different countries (Egypt, Saudi Arabia, and the United States of America) by using a proposed feature detection algorithm. Our proposed system has two main stages: the proposed algorithm uses the Speeded-UP Robust Features (SURF) algorithm for key point detection, as it is fast and robust to variations in geometry and lighting. Then, it extracts features using the scale-invariant feature transform (SIFT) and histogram of oriented gradients …

Analysis Of The Impact Of Tax On Companys Investment Strategy: Case Of The Biovarm Drug Company, Talbi Mohammed, Menacer Abdesslam, Belkacem Omar, Mujeeb Saif Mohsen Al-Absy

Information Sciences Letters

The aim of the study is to identify and clarify the extent of the impact of the tax legislation on the investment strategy of the institution. Further, it attempts to evaluate the effectiveness of the tax incentives created by a legislator to pay positively for an economic institution. Lastly, the study looked at the outcomes that the organization can draw upon in implementing its investment strategy. Indeed, the state seeks to reduce the tax burden on the companies and tries to encourage them to make more investment. The results show that tax variable influences an enterprises investment strategy through its …

Using Chatgpt And Other Llms In Professional Environments, S. Alaswad, T. Kalganova, W. S. Awad

Information Sciences Letters

Large language models like ChatGPT, Google’s Bard, and Microsoft’s new Bing, to name a few, are developing rapidly in recent years, becoming very popular in different environments, and supporting a wide range of tasks. A deep look into their outcomes reveals several limitations and challenges that can be further improved. The main challenge of these models is the possibility of generating biased or inaccurate results, since these models rely on large amounts of data with no access to unpublic information. Moreover, these language models need to be properly monitored and trained to prevent generating inappropriate or offensive content and to …

Using Markov Chains And Data Mining Techniques To Predict Students’ Academic Performance, Saed Mallak, Mohammad Kanan, Nidal Al-Ramahi, Aya Qedan, Hadi Khalilia, Ahmad Khassati

Information Sciences Letters

In this study, the academic performance of students from the E-Commerce department at Palestine Technical University – Kadoorie is predicted using a Markov chains model and educational data mining. Based on the complete data regarding the achievements of the students from the 2016 cohort of students obtained from the university’s admissions and registration department, a Markov chain is built, in which the states are divided according to the semester average of the student, and the ratio of students in each state is calculated in the long run. The results obtained are compared with the data from the 2015 cohort, which …

Towards Wind Energy-Based Charging Stations: A Review Of Optimization Methods, Ali M. W. Alhasan, Dallatu A. Umar, Gamal Alkawsi, Ammar A. Alkahtani, Mohammad A. Alomari, Hazleen Aris

Information Sciences Letters

Due to the growing importance of renewable sources in sustainable energy systems, the strategic deployment of robust optimization techniques plays a crucial role in the design of Electric Vehicle Charging Stations (EVCSs). These stations need to smoothly incorporate renewable sources, ensuring optimal energy utilization. This study provides a comprehensive overview of the methodologies and approaches employed in the enhancement of wind energy based EVCSs. The aim is to discern the most efficacious techniques for optimizing charging stations. Researchers engage diverse strategies and methodologies in the realm of sizing and optimization, encompassing a spectrum of algorithmic implementations and software solutions. Evidently, …

Using Virtual Tours As A University Campus Guide: Al- Zaytoonah University Case Study, Mousa Salah, Ayman Abdalla, Mohammad Abdallah, Ahmad A. Mazhar, Basem Alokush, Iqbal Jebril

Information Sciences Letters

Most university campuses, such as the campus of Al-Zaytoonah University of Jordan (ZUJ), are usually large and comprise many buildings. Finding the location of an office, a lecture hall, a service center, etc. is not an easy task for most visitors and even for many students and employees. Therefore, a virtual tour of the campus and its buildings will provide a valuable tool that eases this task, especially when it is available on a public website and accessible without the need for special virtual reality devices. Previous studies on virtual tours focused on their important marketing aspect. On the other …

Optimization Of The Crude Palm Oil Supply Chain Using A Mixed Integer Linear Programming Model, L. Lilis, S. Sutarman, S. Suwilo, O. S. Sitompul

Information Sciences Letters

The Crude Palm Oil (CPO) industry is a significant industry with a well-established network system, also known as a supply chain. The CPO industry is involved in the production, processing, and distribution of palm oil, which is derived from the fruit of the oil palm tree. In this paper it is considered that the CPO mill industry does not have its own oil palm plantations, so FFB (fresh fruit bunches) are supplied by nearby smallholder oil palm plantations, both private and government. Because the supply of FFB is limited, management must decide which plantations will meet the demand, therefore the …

Sewer Gas, Siphons And Long-Term Stewardship For Community Interventions, Hong Cheng Tay, Kelly G. Pennell

Kentucky Water Resources Annual Symposium

No abstract provided.

Perceptions And Visual Awareness Of Urban Karst Flooding To Inform Preparedness Planning And Management Actions, Grace Herrmann, Jason Polk

Kentucky Water Resources Annual Symposium

No abstract provided.

Blended Learning In The Wake Of Ict Infrastructure Deficiencies: The Case Of A Zimbabwean University, Lucia Makwasha, Sam Jnr Takavarasha, Hazel Mubango

African Conference on Information Systems and Technology

In the wake of debates between actors in the Zimbabwean higher education sector about the effectiveness of e-learning models, it is important to investigate the effectiveness of using blended learning at a time when infrastructure challenges are disrupting ICT access. This paper aims to address this quest for a deeper understanding by investigating students' perceptions of blended learning at a selected Zimbabwean university. Twelve in-depth interviews were conducted with students from a Zimbabwean university that employs blended learning under an interpretivist paradigm. Vygotsky's Zone of Proximal Development (ZPD) was used for conceptualising students' cognitive development and Engestrom's (2003) Third-generation Activity …

Trust The Masked Stranger: Unveiling The African Stokvel's Blockchain Enticement, Norwell Zhakata, Ntombovuyo Wayi-Mgwebi

African Conference on Information Systems and Technology

Blockchain technologies offer platforming services on which African stokvels can be implemented. stokvels emerged as cooperative and self-help schemes for marginalized communities in South Africa. stokvel members contributing to a blockchain-managed common fund do not have to worry about trusting their peers because transactions on a blockchain are claimed to be transparent and irrefutable. Blockchain technology’s consensus mechanism and its decentralized architecture ensure that authority is shared amongst peers, and none has monopolistic powers over the common fund. The blockchain is thus, at face value, seen as espousing the true spirit of cooperative and participative decision-making akin to African Ubuntu …