Digital Commons Network^™

Defining The Undefined: Exploring The Concept Of Situationship Among Filipino Adolescents, Cassy Franchezka D. Deniega, Trisha Carrie A. Revillo, Chrizelle M. Villanueva

Sinaya: A Philippine Journal for Senior High School Teachers and Students

Situationship, a term that has gained significant attention through media exposure, has become increasingly common in contemporary dating culture. Despite its growing prevalence, there remains a need for a clear and contextualized meaning of situationship, especially among Filipino adolescents. This study seeks to provide a definitive and nuanced definition of situationship, contextualize this emerging concept in modern dating, and contribute to the existing literature on relationship dynamics. Focus group discussions anchored on a descriptive phenomenological research design were conducted among 15 Filipino adolescents aged 18 to 20 years old and were considered to fall under the late adolescence group. Participants …

Acquisition Targeting: Toward Modelling Small Business Acquisition With Machine Learning, Jeremy Chambers

Doctor of Business Administration (DBA)

Small business acquisition suffers from a lack of information transparency, and many business buyers consequently value acquisitions differently. This project uses the case study methodology to analyze Sound Hardware Inc. and its management team to understand its context in-depth and provide a model that calculates an acquisition price in addition to offering business planning. It does this by using machine learning algorithms to reduce the number of engineered variables resulting in a priority list of factors contributing to value. This core process of dimensionality reduction is followed by a sample valuation that uses the results of the dimensionality reduction in …

Developing A Roadmap For Green Port In Timor-Leste, Emanuel Da Silva Maia

World Maritime University Dissertations

No abstract provided.

The Urgency Of Artificial Intelligence Code Of Ethics, Tundjung Herning Sitabuana, Dixon Sanjaya, Ibra Fulenzi Amri, Nethan Nethan

Indonesia Law Review

The era of artificial intelligence has become a characteristic of industrial era 5.0 which has been used in various aspects. Potential economic value of AI has driven various forms of AI innovation development. Exploration of AI tends to override negative impacts of such developments. The emergence of ethical issues with presence of AI encourages the need for a law-based approach to establishing ethical standards to protect entire Indonesian nation. Therefore, this research was conducted to examine urgency for an AI code of ethics. This paper will normatively describe data qualitatively to answer urgency and development of AI code of ethics …

Lockout Systems And Methods, Srinivas Katkoori, Sheikh Ariful Islam

USF Patents

An exemplary integrated circuit design lockout system comprises an integrated circuit and a key obfuscated circuit embedded with the integrated circuit. The key obfuscated circuit is configured to verify that a user provides a valid key for the integrated circuit before the user is allowed to operate the integrated circuit. The exemplary integrated circuit design lockout system further comprises a lockout circuit embedded with the key obfuscated circuit, wherein the lockout circuit is configured to allow for a threshold number of failed attempts for the user to provide the valid key before the lockout circuit prohibits the user from making …

Multi-Sensor Data Fusion And Gis-Drastic Integration For Groundwater Vulnerability Assessment With Rainfall Consideration, Wu Jiazhe, Dai Xinrui, Su Yangcheng, Zheng Xiangtian, Bushra Ghaffar, Rabiya Nasir, Ahsan Jamil, Zeeshan Zafar, Mohammad Suhail Meer, M. Abdullah-Al-Wadud, Rahila Naseer, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

In many areas of the world, particularly in arid and semi-arid regions, groundwater is the primary source of fresh water, and it supplies around one-third of the world's fresh water. Agriculture is the primary economic sector on the coast in the southern district (Nowshera). More food productivity is required due to the expanding population and diminishing agricultural lands, which increases the use of chemical pesticides and fertilizers in farming. The current study was conducted in northwestern parts of Pakistan to evaluate the impacts of the frequent use of pesticides and fertilizers in agricultural fields. Nine hydrogeological parameters were considered, and …

Methodology Matters: How Translation Theories And Technologies Have Shaped Journey To The West, Savannah Fennell

Global Insight

No abstract provided.

Full Issue, Global Insight Editorial Team

Global Insight

No abstract provided.

Advancing Prediction Of Stimulant Medication Misuse Through Graph Representation Learning, Hamid Razavi

Theses

The misuse of stimulant prescription medications poses a significant and escalating public health concern in the United States, particularly among young adults. Addressing this issue requires sophisticated methodologies capable of uncovering complex patterns and relationships in data. Geometric Deep Learning, a paradigm designed to analyze data with non-Euclidean structures, has achieved remarkable success across various domains, offering a powerful framework for tackling complex graph structure data challenges.

This study leverages Graph Convolutional Networks (GCNs) to predict the likelihood of stimulant medication misuse using data from the National Survey on Drug Use and Health (NSDUH). Individuals are represented as nodes in …

A New Form Of Soft Supersymmetry Breaking?, Scott Chapman

Mathematics, Physics, and Computer Science Faculty Articles and Research

Starting with a supersymmetric U(N) × U(N) gauge theory built in N = 1 superspace, a nonsupersymmetric theory is obtained by “twisting” the gauginos into a different representation of the group than the gauge bosons. Despite the fact that this twisting breaks supersymmetry, it is still possible to construct an action that is holomorphic and invariant to local “twisted” gauge transformations in superspace. It is conjectured that these two properties may allow the theory to be free of quadratic divergences to all orders, despite a lack of supersymmetry. An explicit calculation shows that the theory is free of quadratic divergences …

Unfolding Cascading Impacts Of Changing South Asia Monsoon On A Hindu Kush Himalayas Basin, Surendra Maharjan, Wenzhao Li, Shahryar Fazli, Arshad Ansari, Suraj Tiwari, Roma Thakurathi, Rejoice Thomas, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Study region

Study focus

New hydrological insights for the region

Factors Associated With Healthcare Students’ Cognitive Levels Measured By The Classroom Test Of Scientific Reasoning., Alberto J. De Armendi, Amir L. Butt, Kathryn M.L Konrad, Mohanad Shukry, Edmund A. Marek Ii

Graduate Medical Education Research Journal

Introduction: Healthcare student acceptance into graduate and professional school is based on Grade Point Average (GPA), Graduate Record Examination (GRE) scores, interviews, and letters of recommendation, but not on cognition levels. However, educators need to understand students’ cognitive levels to facilitate constructivist learning theory and inquiry-based learning. The aim of this study is to understand the influence of cognition in healthcare students through the administration of the Classroom Test of Scientific Reasoning (CTSR).

Methods: Medical and baccalaureate nursing students were enrolled to answer demographic questions and complete the CTSR. The CTSR rubric score were used to define four operational cognitive …

Development Of Conceptual Scaffolding-Assisted Formative Assessment For Enhancing Understanding Of Temperature And Heat, Ana Lailatul Fitriyah, Sentot Kusairi, Markus Diantoro

Jurnal Pendidikan Sains

This research aims to develop formative assessment media assisted by conceptual scaffolding to improve students’ understanding of temperature and heat, test its validity and practicality, and gauge student responses. Utilizing the ADDIE model, the research follows five stages: Analysis, Design, Development, Implementation, and Evaluation. In the Analysis stage, a literature review was conducted to identify critical components, including formative assessment, conceptual scaffolding, concept mastery, and previous research. The Design stage involved identifying users, defining competencies and indicators, creating a storyboard, integrating assessment components, and determining mastery levels. During the Development stage, the assessment media were developed into a functional product. …

Composite Volume Learning Media Based On Augmented Reality To Enhance Students’ Visual-Spatial Intelligence, Ria Kurniawati, Susiswo Susiswo, Syamsul Hadi

Jurnal Pendidikan Sains

Augmented Reality (AR) technology, a three-dimensional visual tool that integrates virtual objects or environments into real-world displays in real time (Azuma et al., 2001), is particularly useful for grasping complex concepts such as the composite volume of solids, which often confuses students when they need to decompose solids into their individual components. While previous research has predominantly focused on the introduction of solids, spatial nets, and the volume of singular shapes, this study aims to develop composite volume learning media based on AR to enhance students’ visual-spatial intelligence in a valid, practical, and effective manner, aligning with their concrete operational …

Students’ Concept Maps Profile On Environmental Pollution Material During The Covid-19 Pandemic, Sunarni Sunarni, Sri Widoretno, Puguh Karyanto, Bowo Sugiharto, Sri Dwiastuti, Chandra Adi Prabowo

Jurnal Pendidikan Sains

The study investigates the performance of students in constructing Concept Maps (CM) related to environmental pollution material during the COVID-19 pandemic. The data reveals that the overall achievement in CM construction was suboptimal, with no component reaching more than half of its maximum potential. The highest achievement was recorded in the valid relationship component, which attained 9.75% of its maximum possible score. This was followed by the hierarchy component, achieving 7.34%, and the branching component at 3.42%. The pattern component ranked fourth with 1.31%, closely followed by the example component at 1.30%. The lowest performance was observed in the crosslink …

Analysis Of Students’ Problem-Solving Skills In Newton’S Law With 5e Learning Cycle, Nidya Desyana, Sutopo Sutopo, Nandang Mufti

Jurnal Pendidikan Sains

The aim of this study is to identify students’ problem-solving skills in Newton’s laws through the implementation of the 5E learning cycle in the classroom. A pre-experimental design with a one-group pretest-posttest approach was employed. Data on problem-solving skills were collected from students’ pre-test and post-test responses to two essay questions. The indicator with the highest percentage of problem-solving skills was useful description (83% of students), while the indicator with the lowest percentage was specific application of physics (33% of students). Due to the non-normal distribution of the data, the Wilcoxon test was utilized. The results indicated a significant difference …

Design Of Motivational-Realistic-Pancasila Learning In Mathematics, Marup Marup, Suradi Tahmir, Ahmad Talib, Nurzatulshima Kamaruddin

Jurnal Pendidikan Sains

Learning mathematics in class greatly influences students' learning success both in terms of knowledge and attitudes. In carrying out learning, a learning design is needed that can foster student motivation so that they provide learning outcomes to the learning objectives. Motivational-Realistic-Pancasila learning design is considered to be an alternative solution. Morela is a design that combines motivational, realistic indicators and Pancasila values. The teaching of mathematics in the classroom significantly influences students' academic success, both in terms of knowledge and attitude. To effectively carry out the teaching process, a well-designed instructional approach is necessary to foster students' motivation to achieve …

High-Frequency Gold Price Forecasting: Optimizing Multi-Layer Perceptron With Genetic Algorithm, Vrtagic Sabahudin, Fatih Dogan

Materials Science and Engineering Faculty Research & Creative Works

Accurately forecasting gold price actions is critical in financial markets due to gold's role as a safe-haven asset. This paper addresses the challenge of forecasting gold prices by applying a Genetic Algorithm (GA) with a Multi-Layer Perceptron (MLP) model. The research exploits historical financial data from various instruments, including gold futures, Bitcoin, and key currency pairs, to improve prediction accuracy. By optimizing the MLP's hyper parameters through GA, the model efficiently captures complex relationships in high-frequency data, achieving a remarkable R² score of 0.9993. This level of precision demonstrates the model's potential for providing actionable insights for traders and investors. …

Finite Element Method Stress Analysis Of Kammprofile Gasket Defects And Evaluation Of The Sealing Performance, Muhammad Afiq Azmansah, Ahmad Majdi A Rani, Fudhail Abd Munir

Platform: A Journal of Engineering (PAJE)

The Kammprofile gasket is used in various sectors, such as oil and gas, to create a secure seal between flanges, enduring high temperature and pressure conditions. The integrity of the industrial installations of the gasket flange joints relies significantly on an effective sealing mechanism. Gasket failures predominantly contribute to VOC emissions, impacting air quality and potentially causing respiratory issues. Therefore, the Finite Element Method (FEM) analysis using static structural was developed to analyse the influence of dimension variations and defects, specifically on pitch, serration depth and thickness of the Kammprofile gasket that drive the leakage in the flange gasketed joints …

Surveying The Role Of Visual Analytics In Human-Machine Teaming, Naga Datha Saikiran Battula

Theses

Humans and machines both possess their unique capabilities and have their strengths and weaknesses, which can be complementary to one another and allow them to achieve a common goal. Teaming in the modern era involves text prompts, voice commands, gesture recognition, touch interfaces, and the latest visualization techniques that allow parties/agents to interact. Communication through visualization plays a vital role in allowing robust insights to be gained through a glance. Using visualization as a medium between humans and machines can increase the communication bandwidth. Human-machine teaming has witnessed much progress, with many theories and practical examples emerging. In the report, …

Automated Segmentation Of The Ulnar Nerve In Mri Using Deep Learning Techniques, Akhil Nagulapalli

Theses

Cubital Tunnel Syndrome (CuTS), a condition caused by compression of the ulnar nerve, results in numbness, tingling, pain, and even muscle atrophy, affecting fine motor skills and diminishing patient quality of life. Accurate diagnosis of CuTS is challenging, as current diagnostic methods—including clinical exams, nerve conduction studies, and unaided MRI—often lack the precision to reliably identify the nerve and detect compression in its early stages. Deep learning-based segmentation offers a promising solution, enabling precise and automated identification of nerve structures in MRI images, which could significantly improve diagnostic accuracy and support timely intervention.

A novel deep learning model for segmenting …

Stability Of Cognitive Ability And Effect Of Education Across 58 Years: A Project Talent Aging Study, Thalida Em Arpawong, Jimi Huh, Tara Gruenewald, Gwenith G. Fisher, Jennifer J. Manly, Dominika Seblova, Kelly Peters, Margaret Gatz

Psychology Faculty Articles and Research

We assessed the degree to which individuals retain cognitive abilities from adolescence through older adulthood, and whether more education associates with better retention in some more than others, after adjusting for adolescent cognitive ability. We also evaluated whether benefits associated with education differ for those with lower or higher cognitive scores in adolescence, or women or men. Data came from the Project Talent Aging Study, and included measures of abstract reasoning, mathematics, visualization in two dimensions, and recognition memory in 1960 and 2018 (n=2,032; age range 71 to 79). Confirmatory factor analysis was used to fit one-factor (cognitive ability factor, …

Educational Strategy For Service Learning Using Stem Activities: A Case Study Of A Malaysian Secondary School, Nurulsaidah Abdul Rahim, Suzaliza Mustafar

ASEAN Journal of Community Engagement

This paper discusses the Service Learning Malaysia-University for Society (SULAM) program in developing an educational strategy for science, technology, engineering, and mathematics (STEM) learning at a Malaysian secondary school. The implementation of the 60:40 policy (60% STEM and 40% non-STEM) in Malaysia is to increase the number of students studying STEM. However, as of 2022, this policy had failed to achieve this target ratio. Additionally, Malaysian students’ scores on the Program for International Student Assessment (PISA) in the categories of math, science, and language literacy decreased from 2018 to 2022. This paper argues that SULAM represents a promising approach to …

Literacy Story Mapping: Empowering Bogoran Hamlet In Indonesia Through Among E3cho Program, Luky Tiasari, Shanta Rezkita, Vita Tri Wahyuni, Deyas Fito Nurochman, Annisa Hapsari, Dwi Setiawan

ASEAN Journal of Community Engagement

This paper outlines the implementation of Among Education, Environment, Economic, Culture, Healthy, and Outcome (Among E³CHO), a community engagement program in Bogoran Hamlet in Trirenggo Region of Bantul Regency, Yogyakarta, Indonesia. Among E³CHO initiative consists of multiple education, environment, economic, culture, and health engagement sessions aimed at generating a literacy story map, Peta Cerita Berliterasi, as an integrated outcome of community capacities. The program development followed community-based research methodologies, starting with the identification of challenges facing by the community using comprehensive questionnaires, followed by multiple community engagement programs. In the program, the health …

Bioresource Management Via Least Cost Feed Formulation For Red Tilapia (Oreochromis Sp.): Application Of Linear Programming Technique, Boudjema Kamel, Redhouane Benfares, Affaf Kord, Toufik Milla, Belkacem Guenachi, Lynda Frai, Rachida Itcher, Hocine Kherzane

Journal of Bioresource Management

The method of linear programming (LP) was utilized to determine the relationship between the composition of nutrients of each ingredients, specifications for raw materials, cost and requirements for nutrients of the red tilapia (Oreochromis sp.), in order to define: (1) least cost ration formulation, (2) least cost diet, (3) minimum price of producing a particular diet after meeting a number of requirements. The resulting LP models were solved using the simplex algorithm. Therefore, our results show that, formulated feed had high protein content (31.92 %), Lipid (2.53), Moisture (9.10 %) and Ash (9.00 %). The utilization of diet …

Speculations On Brunelleschi’S Pazzi Chapel, Howard A. Risatti Professor Emeritus, Donald Schrader

Art Inquiries

Why speculate on Filippo Brunelleschi’s Pazzi Chapel? As Giorgio Vasari wrote, many of Brunelleschi’s projects were not finished in his lifetime and not as he wished. The lesson to be drawn, says Vasari, who was writing a century after Brunelleschi’s death, is that “anyone who wishes to leave a memorial of his existence should complete it in his own lifetime and not put faith in anyone else.” Since Brunelleschi died well before the chapel was completed, issues have been raised for over a century about its inconsistencies regarding the open loggia, the barrel-vaulted portico, and the façade. This paper addresses …

Art Inquiries, Xix:1, Full Issue, Mysoon Rizk

Art Inquiries

No abstract provided.

“Whoever Invents Or Discovers”: Artificial Intelligence And The Case For Joint Inventorship, Seth F. Littleford

BYU Law Review

Artificial intelligence (AI) is increasingly important in the modern world. Given its fidelity to—and, in some cases, its surpassing of—human performance, people rely upon AI in myriad settings. The AI era is already here, and the technological advancements to come are even more mind-boggling. The United States Patent and Trademark Office (USPTO) has seen a significant increase in patent applications claiming inventions pertaining to AI, but how does the patent system handle when AI invents?

The U.S. Court of Appeals for the Federal Circuit recently held in Thaler v. Vidal that the Patent Act requires inventors listed on patent applications …

2024 - Tennessee Annual Climate Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Monthly Reports

No abstract provided.

Ai-Assisted Academia: Unveiling Doctoral Students' Perspectives On Dissertation In Practice Innovation, Jennifer J. Lesh, Jévaughn J. Lancaster

Faculty and Staff Publications & Presentations

This action research study explores 73 doctoral students' perceptions of using Generative Artificial Intelligence (GAI) throughout their research journey in one educational doctorate (Ed.D) program. The first phase employed surveys, while the second incorporated semi-structured focus group interviews based on the survey data from a diverse sample of students across educational disciplines currently enrolled in the university's educational leadership doctoral program. In the study's first phase, the survey quantified educators' familiarity with, attitudes towards, perceived challenges, ethical considerations, and benefits of using GAI in doctoral research. The exploration of GAI in this practitioner-inspired doctoral program has uncovered essential insights into …