Digital Commons Network^™

Developing A Pancasila Students' Character Instrument: Proof Of Construct Validity And Estimation Of Construct Reliability, Wiwin Mistiani, Edi Istiyono, Amir Syamsudin, Nor Hasnida Md. Ghazali

REID (Research and Evaluation in Education)

This study aims to prove construct validity and estimate construct reliability of the character scale of Pancasila students by using confirmatory factor analysis. The research approach used is quantitative with a sample of 200 high school students selected at random. This study measured the variables by six aspects, 15 indicators, and 20 questions. The six aspects include faith and piety to God Almighty, global nationality, cooperation, independence, critical reasoning, and creativity. The data analysis technique used is confirmatory factor analysis. The study results concluded that the instrument for assessing the character of Pancasila students in high school had a loading …

Online Versus Face-To-Face Instruction: Entry Level Accounting Students Are Performing About The Same, Nancy L. Johnson, Candalyn B. Rade

The North American Accounting Studies

Students today demonstrate strong aptitude for using online learning resources resulting from most completing high school during the COVID-19 pandemic. Learning resources available for instructional design include faculty created, publisher provided, and a plethora of online videos. This study aimed to understand if scores on graded assignments differ between online (OL) and face-to-face (F2F) sections of entry-level accounting, differences in student learning resources access, and if access correlates with performance on graded assignments. Findings revealed students performed similarly in OL and F2F sections on many, but not all graded assignments. Video resource access was higher for OL students and was …

Optimizing Bioethanol Production From Solanum Torvum (Devil's Thorn): An Evaluation Of Conversion Efficiency And Invasive Plant Management Potential, Jaya Ashwin D S, Navaneeth K, Abhay Mahesh Baadkar, Supriya S Sundar, Bhoomika B J

Manipal Journal of Science and Technology

Solanum torvum, commonly known as the Devil’s thorn, is an invasive species present in India that causes negative ecological consequences. However, given its abundance and high starch content in the plant, it could be utilized as a potential feedstock for sustainable biofuel production. We aim to explore the feasibility of bioethanol production from S. torvum and its potential as a means of managing this invasive species. The study will take on a comprehensive approach, including techniques for optimizing starch extraction and improving its accessibility. Fermentation with suitable strains of microorganisms, and analysis of bioethanol yield. In addition, the study will …

Genetic Algorithm-Based Design Solution Of An Area Lighting Scheme - A Case Study, Prabhat Mishra, Arnab Ganguly, Amartya Roy, Mihir Kumar Manna, Abhik Hazra

Manipal Journal of Science and Technology

In this paper, a Genetic Algorithm (GA)-based approach is taken for the lighting design of a specified area. The design of an area lighting scheme primarily depends upon the application of that area and accordingly target values of lighting design parameters are to be decided from relevant BIS (Bureau of Indian Standard) lighting codes. There are several design variables, viz., light distribution, aiming of the luminaire, pole spacing, luminaire mounting height, grid dimension over the field, etc. The task of a lighting designer is to achieve the target design parameters through a suitable combination of set design variables and design …

Optimized Thyroid Disease Classification Using Nature-Inspired Algorithms: Gwo & Woa, Sayan Mondal

NJF Intelligent Engineering Journal

Recently, there has been an upsurge in the number of cases of thyroid disease. Thyroid function is essential for metabolism, making the early diagnosis of thyroid dysfunction an urgent matter. The issue of class imbalance has not been thoroughly examined, even though there are multiple publications on the topic of thyroid disease detection. Furthermore, the binary-class problem has been the primary emphasis of previous research. This study intends to address these concerns by using the suggested strategy, which takes into account ten distinct thyroid illnesses. In order to choose the best features from the Thyroid dataset, this research proposes two …

A Predictive Iot And Cloud Framework For Smart Healthcare Monitoring Using Integrated Deep Learning Model, Preeti Rani, Umesh Chandra Garjola, Haider Abbas

NJF Intelligent Engineering Journal

The researchers developed a deep learning-based smart healthcare monitoring system based on IoT and cloud technology. The proposed system integrates IoT sensors for real-time collection of physiological data, such as ECG, blood pressure, and heart rate, with cloud computing for secure storage and advanced analytics. Utilizing the Bi-LSTM model with fuzzy inference systems (FIS), the framework enhances the accuracy and efficiency of heart disease prediction. According to the evaluation, the model performs better in terms of accuracy, precision, recall, and F1 score than traditional LSTM and FLSTM models. By enabling early detection and personalized interventions, the system aims to reduce …

New Forced Convection Flow Of Nanofluid Within A Partially Filled Porous~Straight Channel, Ammar I. Alsabery, Ali Sahib Abosinee

NJF Intelligent Engineering Journal

This study specifically examines how the movement and dispersion of nanoparticles affect heat transfer in a linear channel that contains a partially porous medium. The existing body of literature is lacking a comprehensive understanding of the convective heat transfer of nanofluids in porous channels. This presents an open research topic that demands further investigation. The porous channel is modelled using Finite Element Method (FEM) for steady flow. The assumption of thermal equilibrium model is made between the solid phases and nanofluid. The non-uniform distribution of nanoparticles within the channel is postulated. Consequently, the equation for the distribution of volume fraction …

Comparative Analysis Of Nature-Inspired Optimization Algorithms: Applications, Challenges And Future Directions, Prerna Mann

NJF Intelligent Engineering Journal

With the proliferation of data generation, the process of achieving optimal solutions is getting more complex. It is becoming increasingly clear that intelligent metaheuristics algorithms are the way to go for solving these complicated optimisation problems, particularly when faced with several restrictions. The development of effective methods for dealing with these optimisation challenges has prompted the creation of numerous new algorithms. These algorithms are either improving their ability to handle problems in many domains or are investigating new contexts in which they could be useful. The field is advancing at a quick pace, leaving many in the dark about its …

Single-Step Synthesis Of Activated Carbon From Arabica Spent Coffee Ground Using K2co3 As Activator Agent, Ghina Ivana Mieldan, Yuliusman Yuliusman

Journal of Materials Exploration and Findings

Activated carbon is a nanomaterial that is often used as an effective adsorbent. Activated carbon raw materials can use biomass, such as coffee grounds, which can be found along with the growth of public interest in coffee drinks. Chemical activators are used for activation to increase biomass carbon's adsorption capacity. Using K₂CO₃ activator to increase the specific surface area of activated carbon is more harmless than KOH. The use of spent coffee grounds as carbon source and food additive K₂CO₃ as an activator can make food-grade activated carbon that can be used for food. …

Effect Of Alkyd And Polyester Resin Compositions On Corrosion Resistance, Blistering, And Adhesion In Utilization Of Oily Sludge As Anti-Rust Coating Material, Gerets Land Kakalang, Yohanes David Kristianto, Johny Wahyuadi Mudaryoto

Journal of Materials Exploration and Findings

Oil sludge is a waste derived from upstream and downstream activities of the oil and gas industry which is estimated at 10,000 tonnes generated from all PERTAMINA downstream activities spread across various fields, processing units and depots throughout Indonesia. Oil sludge has the same characteristics as asphalt, where asphalt in previous studies can be used as an anti-rust coating, so that the handling of oily sludge can be topped up by reusing and having its own added value. The purpose of this research is to utilise waste oily sludge as an alternative anti-rust coating material and compare alkyd resin and …

A Comparative Study Of Conventional And Statistically Active Corrosion Methods For Corrosion Growth Assessment Of A 24-Inch Gas Pipeline, Rudi Rinaldi, Jaka Fajar Fatriansyah

Journal of Materials Exploration and Findings

Component failures in oil and gas pipelines can have fatal consequences, leading to operational downtimes and environmental damage. Knowledge of the corrosion growth rate is fundamental to pipeline integrity management, as it is essential for risk assessment and decisions related to asset management. This article aimed to compare two approaches for the corrosion growth estimation of the 24-inch offshore gas pipeline: the conventional method versus the Statistically Active Corrosion (SAC) method. This article is based on the in-line inspection (ILI) results of two consecutive assessments from 2020 to 2023 of the entire 73 km of the pipeline. The results show …

Comparative Analysis Of Risk-Based And Time-Based Inspection Application In Hydrocarbon And Chemical Industries: A Review, Azizar Azizar, Nofrijon Sofyan

Journal of Materials Exploration and Findings

RBI and TBI strategies are comparatively reviewed in terms of their contribution to maintaining asset integrity for asset owners in the hydrocarbon and chemical industries. The objective is to assess various methods on a cost-efficient and risk-managed operational safety basis. It utilizes common industry standards such as API 580 for RBI, and API 510, API 570, and API 653 for TBI, and also case studies and literature analysis. The analysis of data was conducted to examine how each approach deals with inspection planning and decision-making. They suggest that RBI's risk-based prioritization strategy leads to more effective management of high-risk assets, …

Using Technology To Manage A Distributed Workforce & Work Together Seamlessly, Indiana Continuing Legal Education Forum (Iclef)

Indiana Continuing Legal Education Forum 2024

Meeting proceedings of a seminar by the same name, held October 11, 2024.

The Value Of Qualified Asset Appraisals For Lawyers, Indiana Continuing Legal Education Forum (Iclef)

Indiana Continuing Legal Education Forum 2024

Meeting proceedings of a seminar by the same name, held October 29, 2024.

24th Annual Indiana Property Tax Institute, Indiana Continuing Legal Education Forum (Iclef)

Indiana Continuing Legal Education Forum 2024

Meeting proceedings of a seminar by the same name, held April 23, 2024.

Operating Fund Budget/ Expenditure Summary Report 2024-25, Csusb Budget Office

University Budget Office records

No abstract provided.

Comparison Of Fish And Macroinvertebrate Communities In Natural And Constructed Wetlands In The Red River Basin In Texas And Louisiana, Justin L. Rea

Biology Theses

This project plans to compare and contrast wetlands in northeast Texas and western Louisiana within the Mississippi River basin through sampling avian, fish, macroinvertebrate, amphibian, and reptile communities as well as hydrology, soil chemistry, and periphyton/algae biomass. The portion of the project that this study focuses on evaluated the fish and macroinvertebrate assemblages and their relationships within easement, natural and agricultural wetland types. A total of 15 wetlands were sampled consisting of 10 easements, 4 natural, and 1 agricultural wetland. The objectives of this project were to compare and contrast fish and macroinvertebrate assemblages in order to begin creating a …

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. …