Digital Commons Network^™

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 …

Advancing Statistical Literacy In Eye Care: A Series For Enhanced Clinical Decision-Making: Part 1: Introduction To Statistical Tools For Eye Care Research, Daniela Oehring, Pedro Miguel Serra

School of Health Professions

Purpose. Advancements in eye and vision care hinge on therigorous application of research and the precise interpretationof clinical data. However, the field of Eye and Vision Research(EVR) frequently encounters research waste attributed tomethodological flaws and improper statistical analyses, un-dermining the validity of studies and inefficiently utilisingsubstantial financial resources. This paper, the first instalmentin the series “Advancing Statistical Literacy in Eye Care: A Se-ries for Enhanced Clinical Decision-Making,” aims to addressthese challenges by enhancing the statistical literacy of eyecare professionals.Material and Methods. Through a comprehensive narrativeliterature review and the generation of simulated clinicaldatasets, this study identifies essential statistical concepts,common pitfalls, and …

Quantitative Risk Assessment In Thermo-Chemical Waste-To-Energy Facilities, Fakhrul R. Ridzwan, Syaza Izyanni Ahmad

Platform: A Journal of Engineering (PAJE)

This study presents a Quantitative Risk Assessment (QRA) of thermo-chemical Waste-to-Energy (WtE) technologies, specifically incineration and gasification, by utilising simulation tools PHAST and SAFETI. Hazard identification, consequence analysis, and risk assessment were conducted to compare the safety profiles of these two technologies and proposed risk reduction strategies for a safer design. Accident scenarios were modelled for Tuas South Incineration and Borregaard Gasification facilities to analyse dispersion and effects of fire and explosion. Hazards indicated that only gasification exclusively involves flammable releases because it reacts as a partial combustion, with carbon monoxide and hydrogen as flammable byproducts. Results revealed that while …

Mathematical Modelling And Analysis For The Co-Infection Of Viral And Bacterial Diseases: A Systematic Review Protocol, Timothy Kiprono Yano, Ebenezer Afrifa-Yamoah, Julia Collins, Ute Mueller, Steven Richardson

Research outputs 2022 to 2026

Introduction Breaking the chain of transmission of an infectious disease pathogen is a major public health priority. The challenges of understanding, describing and predicting the transmission dynamics of infections have led to a wide range of mathematical, statistical and biological research problems. Advances in diagnostic laboratory procedures with the ability to test multiple pathogens simultaneously mean that co-infections are increasingly being detected, yet little is known about the impact of co-infections in shaping the course of an infection, infectivity, and pathogen replication rate. This is particularly true of the apparent synergistic effects of viral and bacterial co-infections, which present the …

Shalom In Social Media Marketing Shalom In Social Media Marketing, Jill R. Risner, Thomas Betts

University Faculty Publications and Creative Works

This paper will examine social media and the ways in which it currently does and does not contribute to shalom through an examination of both the platforms themselves as well as the content shared through them. As Christ’s ambassadors in the world and the primary funders of social media, marketers have power and an obligation to consider social media’s impact on shalom in the world and to use it in ways that contribute to shalom. This paper will provide several recommendations of how marketers can do this including posting content that intentionally contributes to shalom, engaging on platforms that support …

The Radical Oxidation Of Hydroxyacetone: An Insight Into The Reaction Mechanism And Potential Tetraoxide Intermediates, Edward Buck

Master's Theses

This thesis presents the reaction of hydroxyacetone, a common volatile organic compound (VOC), with chlorine radicals in the presence of oxygen. Chapter one explores VOCs and their specific reactions and how tetraoxide intermediates could be formed from them. Chapter two analyses the experimental and computational methods used and the key theoretical concepts behind these methods. Experimental data was collected using multiplexed photoionization mass spectrometry at the Advanced Light Source Chemical Transformations Beamline, Lawrence Berkeley National laboratory. This data is combined with theoretical data using the CBS-QB3 composite method to determine the key reaction intermediates and mechanisms.

The main chapter of …

A Retrospective Analysis Of The Effects Of Pneumonia And Chronic Obstructive Pulmonary Disease On Patient Mortality In Southwest Missouri, Cameron Smith, Monika Ziogaite, Lindsay Doolan-Mattice, Heather Vonhegel, Mariam Akhtar, Nova Beyersdorfer, Kerry Johnson, John Paulson

Student Publications

Chronic obstructive pulmonary disease (COPD) is a progressive lung disease. In this study, we aimed to explore the effects of COPD and pneumonia on the mortality rates among patients admitted to the Freeman Health System in Southwest Missouri, to provide a better idea of whether there is a correlation between the two and whether the presence of both adds to the mortality rates. Patient data were extracted from electronic medical records, focusing on patients with or without COPD and pneumonia diagnoses. Analyses revealed a statistical difference, with a p-value of <0.0001, in mortality rates between COPD patients with (P1) and without (P3) pneumonia, indicating that pneumonia did have an impact on COPD patients. However, pneumonia patients without COPD (P2) had a higher, but non-statistical difference in mortality rates compared to COPD patients with pneumonia (P1), with a p-value of 0.0806. These findings emphasize the severe influence of pneumonia in both COPD and non-COPD populations in the area, warranting further investigation and emphasizing the importance of timely and appropriate treatment. These results provide insights into the interplay between COPD and pneumonia in the geographic area, which may provide guidance in treatment decisions that may improve patient outcomes.

Forecasting Air Pollution Driven By Vehicle Growth, Public Transport, Industry, And Household Waste, Chandra Harjono, Ludy Gianto, Rachmattullah Sidik, Dyah Lestari Widaningrum

Journal of Environmental Science and Sustainable Development

Jakarta, Indonesia's bustling capital, is grappling with escalating air pollution levels attributed to a confluence of socio-economic and infrastructural factors. This study employs Vensim modelling to project PM2.5 pollution trends through 2040, analysing the dynamic interplay among major contributors: increased vehicular emissions, industrial activities, public transportation deficiencies, and waste management inefficiencies. Materials and Methods: The method that will be used in this air pollution analysis is to integrate empirical data spanning three years to construct a predictive model underpinned by a robust causal loop diagram that elucidates the relationships between system variables and air quality. The results of this paper …

Design And Optimization Of Eco-Friendly Biocomposite Films For Packaging Applications Using Response Surface Methodology, Ba Omoike, Fe Okieimen, C Imoisi

Tanzania Journal of Science

The use of synthetic polymers as packaging materials constitutes environmental pollution due to the accumulation of plastic waste after they are discarded. This study aimed at preparing and optimizing an environmental-friendly carboxymethyl starch/PVA/kaolin composite film using response surface methodology to develop potential solutions for replacing synthetic packaging and optimize the formulation of the biocomposite films. The biocomposite films were prepared by solution casting method. The interactive effect of carboxymethyl starch (CMS) (2.0-5.0 g), poly(vinylalcohol) (PVA) (0.0-3.0 g) and kaolin (0.00-0.22 g) on the ultimate tensile strength (UTS), percentage elongation at break (%EB) and water vapour permeability (WVP) were determined. The …

Catalyzing Meteorological Insights With A Cost-Effective Weather Monitoring System, Ariful Alam, Sidratula Muntaha, Poonam Munshi, Israt Khan, Rakibul Islam, Jamil Bhuian, Md.Yasir Arafat, Md. Ridwanul Hasan

Journal of Environmental Science and Sustainable Development

Undoubtedly, one of the biggest alarming phenomena of this decade is the tremendous fluctuations in the weather and climate. Therefore, different types of surveys, investigations, and research are required in this regard in every region. A low-cost weather monitoring system can be implemented in every educational and research institute to collect and analyze different types of weather-related data. This study establishes the method of developing such a system and analyzing data in a simplified way which the data gathered during thunderstorms and cyclonic activity in Bangladesh. The system was designed with Proteus 8 professional software and developed by using a …

Assessing The Environmental Impact Of Municipal Solid Waste, Ojo Oluwayinka Florence, Olaniyan Olatunji Sunday, Akolade Adebola Saheed, Alabi Oluwaseyi Omotayo, Olaomotito Precious Adesope, Adebayo Kehinde John

Journal of Environmental Science and Sustainable Development

Municipal solid waste (MSW) management presents significant environmental challenges, especially with increasing urbanization and population growth. This study assesses the environmental impacts of MSW, focusing on waste composition, management practices, and their effects on air, water, and soil quality. The primary objective is to evaluate how MSW contributes to environmental degradation and to explore strategies for mitigating these impacts. A hypothesis was developed that optimizing waste composition through proper sorting and treatment can reduce the environmental footprint of MSW management by at least 10% in terms of leachate production and greenhouse gas emissions. Samples were collected using a randomized sampling …

Assessing Potential Energy Sustainability Of Micro-Hydropower System Through A Sustainable Indicator Approach, Icmi Alif Safitri, Muhammad Sulaiman, Rachmawan Budiarto

Journal of Environmental Science and Sustainable Development

The development of micro-scale renewable energy power generation systems, such as micro-hydropower (MHP), often needs more consideration for sustainability during the planning stages. Many small-scale renewable energy systems have shorter-than-expected lifespans, jeopardizing Indonesia's Net Zero Emission Target for 2060 or earlier. Despite this, only some studies have examined the long-term viability of installed renewable energy generation projects, particularly MHP plants not managed by state-owned companies or PLN (Pembangkit Listrik Negara). The primary objectives of this research are to evaluate the feasibility of retrofitting and assess the potential sustainability of a decommissioned MHP in Banjarnegara, Central Java. A cash flow analysis …

Determining The De-Dieselisation Priorities Of Distributed Diesel Generators In An Electricity Company, Kresna Nurdianto, Ratih Dyah Kusumastuti

Journal of Environmental Science and Sustainable Development

The Indonesian Electricity Company (PLN) is one of the main players in the energy transition in Indonesia, and the company plans to achieve net zero emissions by 2060. One way to do this is by implementing the de-dieselisation program, i.e. reducing the use of diesel power plants (PLTD) with new energy and renewable power plants. The Indonesian electricity supply business plan (RUPTL) 2021-2030 targets the reduction of electricity supply from PLTD by 87% by 2030. The program requires a method to determine the order of priorities of PLTDs to be de-dieselised. This research uses multicriteria decision making, namely, analytical hierarchy …

Impact Of Urban Development On Uv Exposure: A Clustering And Machine Learning Assessment, Taufik Roni Sahroni Mr., Verdi Yasin, Lulut Alfaris, Reza Ariefka, Ruben Cornelius Siagian, Mohammad Alfin Karim, Nana Rahdiana, Ade Suhara

Journal of Environmental Science and Sustainable Development

The relocation of Indonesia's capital city is anticipated to promote inclusive economic growth while embracing cultural diversity. However, this transition may affect ultraviolet (UV) radiation exposure patterns. The study investigated variations in UV exposure in the IKN region, focusing on urban development factors such as land use and population density that affect public health, sun protection, and skin cancer prevention. The research hypothesized that UV radiation is significantly correlated with these factors. UV Index data from 2010-2023, a hierarchical clustering method, identifies complex data patterns without determining the number of clusters. XGBoost, a machine learning model, was used for handling …