Digital Commons Network^™

Enhanced Underwater Communication System, Meghana Vakkalanka, Shivani Shivaprasad Naik, Vinuta Chandrakanta Patankar, Likitha R, Priyanka Bansal

Defensive Publications Series

Techniques described herein provide for an Intelligent Distributed Model Predictive Control System for Adaptive Underwater Acoustic Communication that integrates distributed model predictive control (DMPC) with machine learning (ML) to dynamically adjust transmission parameters, thereby improving signal reliability and adapting to the underwater environment. By leveraging a distributed architecture, the techniques intelligently manage signal transmission among underwater sensors or clusters of underwater sensors. The subsystems of the system work in unison to predict, optimize, and coordinate communication parameters using advanced ML computations.

2024-2025 Ursinus College Course Catalogue, Office Of The Registrar

Ursinus College Catalogues, 1869-Present

A digital copy of the 2024-2025 Ursinus College Catalog. It contains details of the curriculum, departmental requirements and courses of instruction as well as the Open Questions core requirements, experiential learning and the Common Intellectual Experience (CIE). Academic policies, special opportunities and scholarships, off-campus programs and graduation requirements are also outlined.

Board Of Directors Quarterly Meeting - Open Session Book 09/13/2024, Uc Law Sf

2024 Board of Directors Agenda and Materials

No abstract provided.

Board Of Directors Quarterly Meeting - Open Session Book(4) 09/13/2024, Uc Law Sf

2024 Board of Directors Agenda and Materials

No abstract provided.

Minutes (9-13-2024), Associated Students, Incorporated

Associated Students, Incorporated records

No abstract provided.

The Relationship Between Secondary Stem Students Motivational Perceptions, Engagement, And Academic Achievement, Cecil Kevin Belt

Student Theses and Dissertations

The purpose of this study was to examine the impact of student perceptions of the classroom motivational climate on engagement and academic achievement in secondary STEM courses. Additionally, the mediating effect of students’ perceptions of the ease of the course on the relationship between engagement and academic achievement was assessed. Through an increased understanding of the relationship between student perceptions of the motivational climate and engagement in a STEM classroom, educators are better equipped to make instructional and curricular decisions to create a more engaging, inclusive, and equitable learning experience, leading to improved academic achievement. The study employed a quantitative …

The Diamond, September 13, 2024, Dordt University

Dordt Diamond

• Front Page: The Restoration of Rock Valley Christian School; Sioux County Area Schools Lock Down after Threat, Dordt Sends out Safety Alert; Dordt Football Record Holder Levi Jungling Named New Offensive Coordinator
• News: No More Hardees or Taco Johns - Now What?; Defender Feud Replaces Freshman Talent Show; Out with the Old In with the New - Updates to the Grille; Brazilians React to X Ban, Proxy War with Musk; East Campus Building Housing Sophomore Girls; Professor De Waal Creates a Positive Learning Environment in Her Home; Men's and Women's Cross Country Ranked #1 in GPAC Preseason Poll; …

Academic Presentation 'Navigating Transdisciplinary Communication: A Graduate Student’S Perspective On Collaborative Research', Sirimuvva Pathikonda, James Lipuma, Cristo Leon

STEM for Success Resources

This presentation was given at the 28th World Multi-Conference on Systemics, Cybernetics, and Informatics (WMSCI 2024) on September 13th, 2024.

Prevailing Issues And Actions In Urban Best Practices Across Latin America And The Caribbean, Fabio Capra-Ribeiro

Faculty Publications

This research examines urban best practices (BPs) across Latin America and the Caribbean to illuminate the prevalent issues and actions associated with these locally implemented initiatives. An analysis of 45 BPs from the UN-Habitat repository was conducted using both quantitative and qualitative methods, organized into three phases. The first phase focused on collecting data such as BP sources, countries of origin, and years of implementation. The second phase identified common problems and actions within the BPs. The third phase involved a cross-sectional analysis to identify significant patterns and trends. The study found that many BPs originated from the Dubai International …

Re: Comment Letter For Draft Bpsou 2023 Site-Wide Surface Water Data Summary Report (Dated May 31, 2024), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Association Of Chronic Kidney Disease With Postoperative Outcomes: A National Surgical Quality Improvement Program (Nsqip) Multi-Specialty Surgical Cohort Analysis, Carlos Riveros, Sanjana Ranganathan, Yash B. Shah, Emily Huang, Jiaqiong Xu, Enshuo Hsu, Michael Geng, Siqi Hu, Zachary Melchiode, Brian J. Miles, Nestor Esnaola, Zachary Klaassen, Angela Jerath, Christopher J.D. Wallis, Raj Satkunasivam

Student Papers, Posters & Projects

BACKGROUND: Chronic kidney disease (CKD) is associated with higher incidence of major surgery. No studies have evaluated the association between preoperative kidney function and postoperative outcomes across a wide spectrum of procedures. We aimed to evaluate the association between CKD and 30-day postoperative outcomes across surgical specialties.

METHODS: We selected adult patients undergoing surgery across eight specialties. The primary study endpoint was major complications, defined as death, unplanned reoperation, cardiac complication, or stroke within 30 days following surgery. Secondary outcomes included Clavien-Dindo high-grade complications, as well as cardiac, pulmonary, infectious, and thromboembolic complications. Multivariable regression was performed to evaluate the …

2024 September 13 - Board Of Trustees Finance And Administration Committee Agenda And Minutes, Board Of Trustees, East Tennessee State University

Board of Trustees Agendas and Minutes

No abstract provided.

2024 September 13 - Board Of Trustees Academic, Research, And Student Success Committee Agenda And Minutes, Board Of Trustees, East Tennessee State University

Board of Trustees Agendas and Minutes

No abstract provided.

Neuro-Symbolic Ai For Deep Analysis Of Social Media Big Data, Vedant Khandelwal, Manas Gaur, Ugur Kursuncu, Valerie Shalin, Amit P. Sheth

Faculty Publications

This tutorial introduces a neuro-symbolic AI framework to analyze big data from social media platforms. Integrating human-curated knowledge through symbolic AI with the pattern recognition capabilities of neural networks enhances the adaptability and efficiency of traditional neural network approaches. Knowledge-guided zero-shot learning techniques enable swift adaption to new linguistic contexts and emerging events [6]. Participants will explore how to design, develop, and utilize these models in specific domains, such as public health surveillance, that require dynamic adaptation to new terminologies. This session The tutorial aims to equip attendees with practical skills and a deep understanding of how to apply neuro-symbolic …

2024-09-13, Board Of Regents, Murray State University

Board of Regents Meeting Minutes

No abstract provided.

Multiple-Point Metamaterial-Inspired Microwave Sensors For Early-Stage Brain Tumor Diagnosis, Nantakan Wongkasem, Gabriel Cabrera

Electrical and Computer Engineering Faculty Publications

Simple, instantaneous, contactless, multiple-point metamaterial-inspired microwave sensors, composed of multi-band, low-profile metamaterial-inspired antennas, were developed to detect and identify meningioma tumors, the most common primary brain tumors. Based on a typical meningioma tumor size of 5-20 mm, a higher operating frequency, where the wavelength is similar or smaller than the tumor target, is crucial. The sensors, designed for the microwave Ku band range (12-18 GHz), where the electromagnetic property values of tumors are available, were implemented in this study. A seven-layered head phantom, including the meningioma tumors, was defined using actual electromagnetic parametric values in the frequency range of interest …

Review Of Data Bias In Healthcare Applications, Atharva Prakash Parate, Aditya Ajay Iyer, Kanav Gupta, Harsh Porwal, P. C. Kishoreraja, R. Sivakumar, Rahul Soangra

Physical Therapy Faculty Articles and Research

In the area of medical artificial intelligence (AI), data bias is a major difficulty that affects several phases of data collection, processing, and model building. The many forms of data bias that are common in AI in healthcare are thoroughly examined in this review study, encompassing biases related to socioeconomic status, race, and ethnicity as well as biases in machine learning models and datasets. We examine how data bias affects the provision of healthcare, emphasizing how it might worsen health inequalities and jeopardize the accuracy of AI-driven clinical tools. We address methods for reducing data bias in AI and focus …

Alphafold2 Modeling And Molecular Dynamics Simulations Of The Conformational Ensembles For The Sars-Cov-2 Spike Omicron Jn.1, Kp.2 And Kp.3 Variants: Mutational Profiling Of Binding Energetics Reveals Epistatic Drivers Of The Ace2 Affinity And Escape Hotspots Of Antibody Resistance, Nishank Raisinghani, Mohammed Alshahrani, Grace Gupta, Gennady M. Verkhivker

Mathematics, Physics, and Computer Science Faculty Articles and Research

AlphaFold2-based atomistic predictions of structures and conformational ensembles of the SARS-CoV-2 spike complexes with the host receptor ACE2 for the most dominant Omicron variants JN.1, KP.1, KP.2 and KP.3 to examine the mechanisms underlying the role of convergent evolution hotspots in balancing ACE2 binding and antibody evasion. Using the ensemble-based mutational scanning of the spike protein residues and computations of binding affinities, we identified binding energy hotspots and characterized the molecular basis underlying epistatic couplings between convergent mutational hotspots. The results suggested the existence of epistatic interactions between convergent mutational sites at L455, F456, Q493 positions that protect and restore …

Spatially Fractionated Grid Radiation Potentiates Immune-Mediated Tumor Control, Rebecca A Bekker, Nina Obertopp, Gage Redler, José Penagaricano, Jimmy J Caudell, Shari Pilon-Thomas, Heiko Enderling

Faculty, Staff and Student Publications

Background: Tumor-immune interactions shape a developing tumor and its tumor immune microenvironment (TIME) resulting in either well-infiltrated, immunologically inflamed tumor beds, or immune deserts with low levels of infiltration. The pre-treatment immune make-up of the TIME is associated with treatment outcome; immunologically inflamed tumors generally exhibit better responses to radio- and immunotherapy than non-inflamed tumors. However, radiotherapy is known to induce opposing immunological consequences, resulting in both immunostimulatory and inhibitory responses. In fact, it is thought that the radiation-induced tumoricidal immune response is curtailed by subsequent applications of radiation. It is thus conceivable that spatially fractionated radiotherapy (SFRT), administered through …

Luminescence, Esr And Cl Characterisation Of Quartz Extracted From Granite Source Rocks And The Derived Sediments Used For Provenance Studies, Daniela Constantin, Aditi Dave, Serban Grecu, Zuzanna Kabacińska, Mihai Ducea, Petru Urdea, Alida Timar-Gabor

FRONTIERS UNBOUND: Exploring Extreme Environments

No abstract provided.

Revisiting The Chronology Of Loess In North America By Using Sar-Osl And Pirir Protocols, Anca Avram

FRONTIERS UNBOUND: Exploring Extreme Environments

No abstract provided.

Preliminary Analysis Of Quartz Using Scanning Electron Microscopy Techniques, Serban Constantin Grecu, Alida Timar-Gabor

FRONTIERS UNBOUND: Exploring Extreme Environments

No abstract provided.

A Random Forest Classifier Model For Predicting The Impact Of Viral Infections On Adults With Chronic Conditions, Fungai Jacqueline Kiwa, Martin Muduva

African Conference on Information Systems and Technology

This study investigates the impact of viral infections on adults with chronic illnesses, focusing on the development of a Random Forest classifier model. The research aims to predict outcomes among individuals with conditions like diabetes, cancer, and tuberculosis, analyzing severity, age groups, and travel patterns. The study aims to assist healthcare professionals in resource allocation and patient prioritization based on disease severity. It reviews literature on viral infection risks for chronic illness patients and explores machine learning applications in infectious disease management. Methodologically, the study adopts a structured approach similar to the Cross-Industry Standard Process for Data Mining (CRISP -DM) …

Ethical Limitations Of Using Ai To Predict And Diagnose Mental Health Disorders Based On Individuals’ Social Media Activity, Stella Bandawe, Sumarie Roodt, Zainab Ruhwanya

African Conference on Information Systems and Technology

Artificial Intelligence (AI) is developed with predictive tools and is used to predict and diagnose mental health disorders based on data mined on social media platforms. Despite the growth of its adoption, there is limited literature that explicitly states the ethical limits of this technology within the context of predictive mental health assessment. This study adopts a qualitative and deductive approach, it adopts the socio-technical systems theory which is evaluated using a systematic literature review approach focused on a data set of 40 documents. The results indicate that there are no clear regulations that define how much and what type …

Reimagining Ict Education For The Ai Revolution: A Comprehensive Approach To Curriculum Redesign, Zvinodashe Revesai, Lawrence Ruvinga

African Conference on Information Systems and Technology

This study examines the integration of artificial intelligence (AI) in Information and Communication Technology (ICT) curricula globally and proposes a framework for educational redesign. Through a mixed-methods approach, including literature review, interviews, and analysis of 100 ICT programs across six continents, we identify significant regional disparities in AI education and key challenges in curriculum adaptation. Only 37% of analysed programs offer comprehensive AI courses, with institutions in Africa and South America notably lagging. We propose a flexible framework for AI integration, encompassing core foundations, specialization tracks, cross-cutting integration, practical projects, and continuous adaptation mechanisms. Preliminary validation shows promising results in …

How Does Compliance With The Protection Of Personal Information Act (Popi Act) Affect Organisations In South Africa?, Tendani Chimboza, Erin Smith

African Conference on Information Systems and Technology

This research examined how Protection of Personal Information Act No 4 of 2013 (POPIA) compliance affects organizations in South Africa. Despite the promulgation of POPIA in 2021, data breaches, abuse of personal information, and increased cyber threats persist in South Africa. As a privacy regulation, POPIA has yet to successfully safeguard personal information because it exists in a complex regulatory environment. Lack of technical measures to combat the abuse of personal information, limited awareness of the implications of POPIA compliance on organisations, and organisations' resource constraints are some factors that exacerbate the complexity of the regulatory environment. Through interviews in …

The Perceptions Of Women In Ict Concerning Hybrid Work At Telecommunication Companies In South Africa, Ntombizethu Lubisi, Samwel Mwapwele

African Conference on Information Systems and Technology

This study examines the perceptions of women in ICT regarding the hybrid work model in South Africa's telecommunications sector, a shift accelerated by the COVID-19 pandemic. The research explores both the benefits—such as flexibility, financial savings, and improved work-life balance—and the challenges, including communication difficulties, collaboration issues, and infrastructural problems like power outages. Using a qualitative, interpretive approach, data were gathered through semi-structured interviews with 11 participants from 8 JSE-listed telecom companies. The key finding is that while the hybrid model is generally viewed favourably for supporting career development, the findings underscore the need for well-structured policies to ensure effective …

Use Your Own Device (Uyod): Framework For Building A Human Firewall, Tapiwa Gundu, Kevin Kativu

African Conference on Information Systems and Technology

The Use Your Own Device (UYOD) paradigm is increasingly common in modern digital workplaces, offering benefits like flexibility and cost savings but also introducing significant cybersecurity risks. This study develops a comprehensive framework for constructing a robust human firewall aimed at mitigating these risks. The research employs a systematic literature review (SLR) methodology, starting with a corpus of 198 articles, from which 17 high-quality studies were selected for in-depth analysis. Key components identified include cybersecurity awareness training, regular simulated attacks, clear policies and procedures, technology competence training, and fostering a security-first culture. Findings reveal that integrating these components into an …

Stakeholder Perceptions Of A New Learning Management System Implementation At A South African University, Lazola Taho, Walter Uys

African Conference on Information Systems and Technology

Learning Management Systems (LMSs) investments are increasing in response to internal and external factors such as technology and market trends, laws, and regulations. Many LMS implementation initiatives fail despite decades of research on IS success. Challenges faced by sub-Saharan Africa Higher Education Institutions (HEI’s) LMS implementations are becoming context-specific to each institution. Studying implementation success quantitatively has however not provided adequate contextual insights into the complex dynamics of implementation. Research often investigates lecturers and students at the exclusion of other stakeholders. Using Critical Hermeneutics (CH) as a guiding perspective, semi-structured interviews were conducted with decision-makers, administrators, support staff, students, and …

The Use Of Social Media For Organisational Learning: A Systematic Review Of Literature, Harry Moongela, Marie Hattingh

African Conference on Information Systems and Technology

Social media (categorised as Web 2.0 platforms) has been reported to significantly impact and improve organisational learning (OL), but there seems to be a lack of systematic literature reviews (SLR) covering the use of social media to facilitate OL. Thus, this article conducted a SLR for both social media and OL by presenting the significant concepts, models and frameworks from literature. A total number of 48 articles were found for the analysis method and the findings reveal important concepts such as types of OL, levels of OL and frameworks incorporating both social media and OL. The results also show that …