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Identify Resources Activated By Students When Solving Straight Motion Kinematics Problems With Different Representation, Nur Utami Amaliah, Sutopo Sutopo, Eny Latifah, Hutkemri Zulnaidi Jun 2024

Identify Resources Activated By Students When Solving Straight Motion Kinematics Problems With Different Representation, Nur Utami Amaliah, Sutopo Sutopo, Eny Latifah, Hutkemri Zulnaidi

Jurnal Pendidikan Sains

This research aims to explore kinematic resources in linear kinematics by utilizing different forms of problem representation. The study was conducted by administering 15 reasoned multiple-choice questions to 146 high school students from three districts in Central Sulawesi, Indonesia. The research instrument covers topics in linear kinematics, including distance, displacement, speed, and velocity, presented through diagrammatic representations, graphs, and mathematical equations. The students’ written answers were analyzed both quantitatively and qualitatively. Quantitative analysis was conducted to determine descriptive statistics from the data, while qualitative analysis identified the resources students activated when solving these questions. The findings reveal that the various …

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Children’S Reading Of Visuals In Informational Picturebooks And Biographies, Sunah Chung Jun 2024

Children’S Reading Of Visuals In Informational Picturebooks And Biographies, Sunah Chung

Faculty Publications

Visuals in picturebooks play an important role in supporting children’s reading comprehension and literacy development. This qualitative case study analyzes three American families’ shared reading practices at home by analyzing their online surveys for family literacy environments, reading logs for a month, mother interviews, and video observation of their shared reading at home. The analysis of the collected data categorizes children’s responses to visuals into three major themes: reflecting personal preferences and thoughts on visuals, interpreting visuals based on prior knowledge, and misreading visuals that interfere with understanding content. The discussion focuses on the roles of visuals in informational picturebooks …

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Provincial Reference Fertilizer Testing Laboratory Raiwind, Lahore, Pakistan, Muhammad Arshad Khan, Haroon Shahzad, Muhammad Abubakar Siddique, Husnain Jawad, Muhammad Atiq Ur Rahman, Muhammad Iqbal, Muhammad Kashan, Farhana - Jun 2024

Provincial Reference Fertilizer Testing Laboratory Raiwind, Lahore, Pakistan, Muhammad Arshad Khan, Haroon Shahzad, Muhammad Abubakar Siddique, Husnain Jawad, Muhammad Atiq Ur Rahman, Muhammad Iqbal, Muhammad Kashan, Farhana -

Journal of Bioresource Management

A field study conducted during the 2021-22 season aimed to assess the impact of varying nitrogen levels (0, 50, 100, and 150 kg N ha-1) on the wheat genotypes Faisalabad-2008 and AZRC-Dera. Detailed data on growth and yield parameters were collected and subjected to analysis. AZRC-Dera exhibited superior performance, consistently producing more plants throughout the crop growth. Incremental nitrogen application significantly increased plant number 224.2, 304.2 and 305.9 m-2 on 15th of December, 20th of January and 5th of April. AZRC-Dera, coupled with 150 kg ha-1 nitrogen, showed a discernible increase in both …

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Behavioural Distributions Of Macrophytes In An Oxbow Lake, Dhir Beel With Reference To Its Water Quality In Assam, India, Arup Nama Das, D. K. Sharma Jun 2024

Behavioural Distributions Of Macrophytes In An Oxbow Lake, Dhir Beel With Reference To Its Water Quality In Assam, India, Arup Nama Das, D. K. Sharma

Journal of Bioresource Management

An Oxbow lake, Dhir Beel, situated in Western Assam, India, stands as a habitat for a plethora of plant and animal species, nurturing a vibrant ecosystem within its freshwater environs. This study sought to address concerns surrounding pollution, encroachment, siltation, and overfishing within Dhir Beel. Over a span of three years (2016-2019), samples were meticulously collected from five distinct sites to analyze both water quality and macrophyte populations. Employing the APHA method, the physico-chemical parameters of the water were evaluated, while a comprehensive identification process was undertaken to categorize the macrophytes. These aquatic plants, spanning dicots, monocots, and pteridophytes, were …

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Effects Of The Biochar Of Senna Tora On The Soil Fertility Of Misau Farmlands, Bauchi State, Northern Nigeria, Ozoilo Onyeka Calistus, Umar Faruk Hassan, Auwal Adamu Mahmoud, Haruna Baba, Hamza Badamasi, Hannatu Akanang Jun 2024

Effects Of The Biochar Of Senna Tora On The Soil Fertility Of Misau Farmlands, Bauchi State, Northern Nigeria, Ozoilo Onyeka Calistus, Umar Faruk Hassan, Auwal Adamu Mahmoud, Haruna Baba, Hamza Badamasi, Hannatu Akanang

Journal of Bioresource Management

The use of biochar as an amendment to the soil is attracting the scientific community's attention because of its cost-effectiveness, eco-friendliness, and its promising success in increasing the fertility of the soil and crop yield. In the present study, the effects of biochar from Senna tora applications on soil characteristics and the availability of micronutrients in Misau, Bauchi State, Nigeria, were explored. A completely randomized approach was adopted and duplicated three times, with reference soil (no biochar), 30-day, and 60-day biochar treatments. The biochar was removed at the end of the treatment, and soil samples from the various treatments were …

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Chatgpt Smart Chatbot Technology For Future Learning, Sutithep Siripipattanaku, Sarinporn Chaivisit, Patcharavadee Sriboonruang Jun 2024

Chatgpt Smart Chatbot Technology For Future Learning, Sutithep Siripipattanaku, Sarinporn Chaivisit, Patcharavadee Sriboonruang

Journal of Education Studies

Artificial Intelligence (AI), which is considered a smart digital technology, has played a vital role in our daily lives. In Particular, ChatGPT is an intelligent chatbot technology that excels in conversational interactions, answering user queries, translating languages for communication, computer programming using basic languages, creating videos, drawing images, and even composing songs. This includes the use in education and learning of the future, such as advising course enrollment, personalized learning, research, solving math problems, etc. It facilitates flexible learning and meets the demands of the future world. This means that learning is not limited to only classroom or face-to-face encounters, …

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Development Of Critical Thinking Scale Of Upper Secondary School Students In Social Studies By Applying Computerized Dynamic Assessment, Non Worathanaphimmakorn, Kamonwan Tangdhanakanond Jun 2024

Development Of Critical Thinking Scale Of Upper Secondary School Students In Social Studies By Applying Computerized Dynamic Assessment, Non Worathanaphimmakorn, Kamonwan Tangdhanakanond

Journal of Education Studies

The purposes of this pilot study were 1) to develop the critical thinking scale of upper secondary school students in social studies by applying computerized dynamic assessment, and 2) to validate the critical thinking scale of upper secondary school students in social studies by applying computerized dynamic assessment. The sample consisted of 100 upper secondary school students by purposive sampling. The research instrument used was the critical thinking scale by applying computerized dynamic assessment. Data were analyzed by using content validity, item validation including the difficulty and discrimination indexes, and internal consistency in terms of Cronbach’s alpha coefficient. Results revealed …

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Containerization On A Self-Supervised Active Foveated Approach To Computer Vision, Dario Dematties, Silvio Rizzi, George K. Thiruvathukal Jun 2024

Containerization On A Self-Supervised Active Foveated Approach To Computer Vision, Dario Dematties, Silvio Rizzi, George K. Thiruvathukal

Computer Science: Faculty Publications and Other Works

Scaling complexity and appropriate data sets availability for training current Computer Vision (CV) applications poses major challenges. We tackle these challenges finding inspiration in biology and introducing a Self-supervised (SS) active foveated approach for CV. In this paper we present our solution to achieve portability and reproducibility by means of containerization utilizing Singularity. We also show the parallelization scheme used to run our models on ThetaGPU–an Argonne Leadership Computing Facility (ALCF) machine of 24 NVIDIA DGX A100 nodes. We describe how to use mpi4py to provide DistributedDataParallel (DDP) with all the needed information about world size as well as global …

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Preparation Of Β-Ni (Oh)2 Nanosheet–Modified Glassy Carbon For Pseudocapacitors, Muhammad Buchari Setia Putra, Aliyah Aliyah, Afiten Rahmin Sanjaya, Respati Kevin Pramadewandaru, Hoeil Chung, Tribidasari Anggraningrum Ivandini Jun 2024

Preparation Of Β-Ni (Oh)2 Nanosheet–Modified Glassy Carbon For Pseudocapacitors, Muhammad Buchari Setia Putra, Aliyah Aliyah, Afiten Rahmin Sanjaya, Respati Kevin Pramadewandaru, Hoeil Chung, Tribidasari Anggraningrum Ivandini

Makara Journal of Science

β-Nickel hydroxide (Ni(OH)2) nanosheet–modified glassy carbon for pseudocapacitors was successfully prepared. The nanosheets were synthesized via a conventional growth seeding method combined with hydrothermal treatment. Transmission electron microscopy (TEM) characterization indicated the hexagonal structure of the nanosheets of around 15 nm in size, and X-ray diffraction (XRD) pattern confirmed the β-phase lattice crystal. These nanosheets used to modify the glassy carbon surface, increased the electroactive surface area by around 15 times. Furthermore, electrochemical investigation of the modified glassy carbon revealed an excellent performance and a specific capacitance of 628.01 F g−1 at a 1 A g−1 …

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Pseudo-Siamese Network Combined With Label-Free Raman Spectroscopy For The Quantification Of Mixed Trace Amounts Of Antibiotics In Human Milk: A Feasibility Study, Jing Yi Mou, Muhammad Usman, Jia Wei Tang, Quan Yuan, Zhang Wen Ma, Xin Ru Wen, Zhao Liu, Liang Wang Jun 2024

Pseudo-Siamese Network Combined With Label-Free Raman Spectroscopy For The Quantification Of Mixed Trace Amounts Of Antibiotics In Human Milk: A Feasibility Study, Jing Yi Mou, Muhammad Usman, Jia Wei Tang, Quan Yuan, Zhang Wen Ma, Xin Ru Wen, Zhao Liu, Liang Wang

Research outputs 2022 to 2026

The utilization of antibiotics is prevalent among lactating mothers. Hence, the rapid determination of trace amounts of antibiotics in human milk is crucial for ensuring the healthy development of infants. In this study, we constructed a human milk system containing residual doxycycline (DXC) and/or tetracycline (TC). Machine learning models and clustering algorithms were applied to classify and predict deficient concentrations of single and mixed antibiotics via label-free SERS spectra. The experimental results demonstrate that the CNN model has a recognition accuracy of 98.85% across optimal hyperparameter combinations. Furthermore, we employed Independent Component Analysis (ICA) and the pseudo-Siamese Convolutional Neural Network …

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Prevalent Chronic Infections Modulate T-Cell Phenotypes And Functions Enhancing Hiv Susceptibility, Dissemination, And Persistence In African Population, Thomas F. Marandu, Mkunde S. Chachage Jun 2024

Prevalent Chronic Infections Modulate T-Cell Phenotypes And Functions Enhancing Hiv Susceptibility, Dissemination, And Persistence In African Population, Thomas F. Marandu, Mkunde S. Chachage

Tanzania Journal of Science

While many studies have associated HIV prevalence with socio-economic status, few have explored the host's immunity status prior to HIV infection. High HIV prevalence in Africa may in part be contributed by a high prevalence of other persistent infections that modulate the host immunity towards phenotypes that promote HIV acquisition. In this narrative review, we examined how four most prevalent pathogens in Africa (human papillomavirus, herpesviruses, Mycobacterium tuberculosis, and helminth infections) modulate immunity to favor their survival and in turn, also influence HIV acquisition. We have described how these pathogens expand the number of memory and activated T cells, increase …

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Enhancing Tumor Classification Through Machine Learning Algorithms For Breast Cancer Diagnosis, Lawrence Agbota, Edmund F. Agyemang, Priscilla Kissi-Appiah, Lateef Moshood, Akua Osei- Nkwantabisa, Vincent Agbenyeavu, Abraham Nsiah, Augustina Adjei Jun 2024

Enhancing Tumor Classification Through Machine Learning Algorithms For Breast Cancer Diagnosis, Lawrence Agbota, Edmund F. Agyemang, Priscilla Kissi-Appiah, Lateef Moshood, Akua Osei- Nkwantabisa, Vincent Agbenyeavu, Abraham Nsiah, Augustina Adjei

School of Mathematical & Statistical Sciences Faculty Publications

In cancer diagnosis, machine learning helps improve cancer detection by providing doctors with a second perspective and allowing for faster and more accurate determination and decisions. Numerous studies have used both classic machine learning approaches and deep learning to address cancer classification. In this study, we examine the efficacy of five commonly used machine learning algorithms; both traditional and deep learning models namely, Logistic Regression, Support Vector Machines (SVM), Random Forest (RF), Decision Tree and Deep Neural Networks (DNN). We analyze their ability to properly classify tumors as Benign or Malignant using the Wisconsin breast cancer dataset (WBCD). Random Forest …

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On The Size Of Maximal Binary Codes With 2, 3, And 4 Distances, Alexander Barg, Alexey Glazyrin, Wei-Jiun Kao, Ching-Yi Lai, Pin-Chieh Tseng, Wei-Hsuan Yu Jun 2024

On The Size Of Maximal Binary Codes With 2, 3, And 4 Distances, Alexander Barg, Alexey Glazyrin, Wei-Jiun Kao, Ching-Yi Lai, Pin-Chieh Tseng, Wei-Hsuan Yu

School of Mathematical & Statistical Sciences Faculty Publications

We address the maximum size of binary codes and binary constant weight codes with few distances. Previous works established a number of bounds for these quantities as well as the exact values for a range of small code lengths. As our main results, we determine the exact size of maximal binary codes with two distances for all lengths n≥6 as well as the exact size of maximal binary constant weight codes with 2, 3, and 4 distances for several values of the weight and for all but small lengths.

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Application Of Time-Varying Mortality Rate Model In Pension System: A Case Of Tanzania, Samya Suleiman, John Andongwisye, Emmanuel E. Sinkwembe, Karl Lundengård Jun 2024

Application Of Time-Varying Mortality Rate Model In Pension System: A Case Of Tanzania, Samya Suleiman, John Andongwisye, Emmanuel E. Sinkwembe, Karl Lundengård

Tanzania Journal of Science

The current increase in the ageing population, driven by a decrease in mortality rates, has impacted most pay-as-you-go defined benefit pension schemes. The resulting increase in the dependency ratio places a greater burden on these schemes. Many pension funds currently use static lifetables to project future obligations, overlooking the gradual decline in mortality rates. This study explores the application of a time-varying mortality rate model to forecast Tanzanian mortality rates. The time-varying model was successfully employed together with multi state method to project and analyse the funding ratio and cashflow to asset value ratio of the mandatory Tanzania Public Service …

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Diffusion-Steered Algorithm For Improving Quality Of Images Generated By Electrical Capacitance Tomography Measurement System, George Nyotoka, Nassor Ally, Josiah Nombo Jun 2024

Diffusion-Steered Algorithm For Improving Quality Of Images Generated By Electrical Capacitance Tomography Measurement System, George Nyotoka, Nassor Ally, Josiah Nombo

Tanzania Journal of Science

Electrical Capacitance Tomography (ECT) is a non-invasive, non-intrusive, radiation-free, robust, and cost-efficient measurement system that generates cross-sectional images of industrial operations by measuring differences in dielectric properties within a container. Despite its advantages, the poor quality of reconstructed images limits its applicability. Researchers have explored both non-iterative and iterative methods to address this issue, yet the resulting image quality remains insufficient for high-stakes applications where accurate decision-making is critical. This study proposes a novel algorithm that integrates the ECT model with a diffusion-steered image denoising functional, enhancing the quality of ECT reconstructed images beyond existing methods. Empirical comparisons show that …

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The Analysis Of A Co-Dynamic Ebola And Malaria Transmission Model Using The Laplace Adomian Decomposition Method With Caputo Fractional-Order, Akeem Olarewaju Yunus, Morufu Oyedunsi Olayiwola Jun 2024

The Analysis Of A Co-Dynamic Ebola And Malaria Transmission Model Using The Laplace Adomian Decomposition Method With Caputo Fractional-Order, Akeem Olarewaju Yunus, Morufu Oyedunsi Olayiwola

Tanzania Journal of Science

The study presents a novel mathematical framework for addressing Ebola and malaria concerns in Sub-Saharan Africa that combines Laplace transformation with Caputo fractional order derivative. It takes into account socioeconomic aspects that influence disease dynamics and uses the basic reproduction number to quantify transmission dynamics. Extensive numerical simulations using Maple 18 software are used to investigate the effect of fractional order derivatives on disease dynamics. It shows how the Laplace-Adomian decomposition approach simplifies nonlinear equations and generates control solutions. It emphasizes the necessity of turning discoveries into concrete plans and encourages stakeholders to be proactive in implementing them. Overall, the …

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Image Reconstruction Method Based On Iterative Linear Back Projection And Logistic Forward Solver For Electrical Capacitance Tomography Measurement System, Alfred Mwambela, Josiah Nombo Jun 2024

Image Reconstruction Method Based On Iterative Linear Back Projection And Logistic Forward Solver For Electrical Capacitance Tomography Measurement System, Alfred Mwambela, Josiah Nombo

Tanzania Journal of Science

Image reconstruction is one of the important tasks in the application of electrical capacitance tomography (ECT) systems. Though numerous algorithms have been implemented, it is often challenging to obtain satisfactory images in all imaging regions by the use of a single algorithm due to the soft-field nature of ECT systems. The preferred iterative reconstruction algorithms are highly computationally inefficient. A new iterative reconstruction algorithm is proposed which combine iterative Linear Back Projection and Logistic Regression. In this method, the solution to the ECT forward problem is implemented using logistic regression, whereas the ECT inverse problem is solved using the algebraic …

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Performance Comparison Of Deep Learning Models In Predicting Hiv Incidences In Tanzania, Zaituni Kaijage, Honest Kimaro, Hellen Maziku Jun 2024

Performance Comparison Of Deep Learning Models In Predicting Hiv Incidences In Tanzania, Zaituni Kaijage, Honest Kimaro, Hellen Maziku

Tanzania Journal of Science

Human immunodeficiency virus infection/acquired immune deficiency syndrome (HIV/AIDS) is a global pandemic that has claimed more than 40 million lives since it was discovered in the late 1970s. In sub-Saharan Africa, including Tanzania. Different measures to combat the diseases have failed to be attained, like the UNAIDS 90-90-90 target, which aimed to reduce HIV by 2020, and it was moved to 2030. The availability of proper tools to control and monitor diseases and ensure proper early intervention is very important. Prediction of disease trends using Machine Learning (ML) models can improve speed towards attaining the UNAIDS targets by providing accurate …

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The Global Impact Of The Hlrc Journal On Digital Teaching And Learning Research And Best Practices In Higher Education, Erwin Krauskopf, Gary J. Burkholder Jun 2024

The Global Impact Of The Hlrc Journal On Digital Teaching And Learning Research And Best Practices In Higher Education, Erwin Krauskopf, Gary J. Burkholder

Higher Learning Research Communications

We are pleased to publish the first regular issue (Volume 14, Issue 1) of Higher Learning Research Communications (HLRC) for 2024. Because of our strategic decisions, the journal has advanced in the Scimago journal rank (SJR), which measures the frequency with which content published in a journal was cited in other journals during the three previous years. The SJR provides a numerical indicator of a journal's relative importance and impact within its field. We announce that HLRC has been ranked 612 out of 1,506 journals among all education journals indexed by Scopus, classifying HLRC as within the second quartile of …

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Gambaran Klaim Pelayanan Dialisis Di Rumah Sakit Dan Rekomendasi Kebijakan Di Level Daerah: Studi Kasus Kota Pematangsiantar, Syarif Rahman Hasibuan, Chandra Istanti Prasetyo, Ede Surya Darmawan, Vetty Yulianty Permanasari Jun 2024

Gambaran Klaim Pelayanan Dialisis Di Rumah Sakit Dan Rekomendasi Kebijakan Di Level Daerah: Studi Kasus Kota Pematangsiantar, Syarif Rahman Hasibuan, Chandra Istanti Prasetyo, Ede Surya Darmawan, Vetty Yulianty Permanasari

Jurnal Ekonomi Kesehatan Indonesia

Chronic kidney disease is a global health issue affecting more than 10% of the world's population and poses a significant disease burden, especially in developing countries. In Indonesia, the National Health Insurance program (JKN) has enabled access to dialysis care for patients with chronic kidney failure, but it also presents challenges in sustaining financing. This study aims to analyze the trends in dialysis service claims in Pematangsiantar City during the period from 2017 to 2022 and project the service needs until 2025. The research design is descriptive-analytic, using claim data from BPJS Health related to dialysis procedures. Analysis is conducted …

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Assessing The Impact Of Tuberculosis On Economic Growth In Asean Countries: A Conceptual Framework And Panel Data Analysis, Agus Fitriangga, Alex Alex Jun 2024

Assessing The Impact Of Tuberculosis On Economic Growth In Asean Countries: A Conceptual Framework And Panel Data Analysis, Agus Fitriangga, Alex Alex

Jurnal Ekonomi Kesehatan Indonesia

Tuberculosis (TB) remains a major global health issue, particularly in Southeast Asia, where its impact extends beyond public health to affect economic performance. This study evaluates the economic implications of TB incidence on gross domestic product (GDP) growth across eight ASEAN countries from 2000 to 2020. We employed a panel data regression approach, utilizing Common Effect Model (CEM), Fixed Effects Model (FEM), and Random Effects Model (REM) to analyze the relationship between TB incidence and economic growth. The dataset included annual GDP figures, TB incidence rates, foreign direct investment (FDI), labor force size, and trade openness, sourced from international databases. …

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Student Partners In Ai Literacy: A Library And Writing Center Collaboration, A. P. Anderson Jun 2024

Student Partners In Ai Literacy: A Library And Writing Center Collaboration, A. P. Anderson

Velma K. Waters Library Faculty Publications

Student voices are valuable but often overlooked in discussions surrounding the role of AI in higher education. AI Literacy education efforts that treat students only as a potential audience for instruction rather than as potential instructors themselves miss out on the passion, curiosity, and complex questions that students can bring to these conversations. If we center student voices in AI Literacy education discussions, and encourage both their enthusiasm and skepticism, students can become comfortable and confident in leading discussions about AI in the classroom and in their lives. In my proposed poster presentation, I will share insights from an AI …

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Hierarchical Quantized Autoencoders: Using Hierarchical Models For Data Compression Across Multiple Domains, Armani Lorenzo Rodriguez Jun 2024

Hierarchical Quantized Autoencoders: Using Hierarchical Models For Data Compression Across Multiple Domains, Armani Lorenzo Rodriguez

Theses and Dissertations

In the era of vast data processing and transmission, sending data over a channel for downstream operations is a very common occurrence. The bandwidth of this data channel acts as a limiting factor in this operation, capping the amount of data that can be sent over a time period. Therefore, in addition to pursuing advancements in networking technology, there exists a need for more efficient means of data compression. Learned compression is the application of machine learning models to the data compression problem, and in this study, we leverage the ability of neural networks to learn the underlying structure of …

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Children's Mathematical Engagement Based On Their Awareness Of Coding Toy Design Features, Joseph Kozlowski, Jessica Shumway, Patricia Moyer-Packenham, Jody Clarke-Midura, Victor Lee Jun 2024

Children's Mathematical Engagement Based On Their Awareness Of Coding Toy Design Features, Joseph Kozlowski, Jessica Shumway, Patricia Moyer-Packenham, Jody Clarke-Midura, Victor Lee

Teacher Education and Leadership Faculty Publications

Tangible coding toys are designed to make coding accessible to young children, and because of their tangible and spatial nature, they are also viewed as tools for engaging children in mathematics. Research is needed to understand children's awareness of toys' design features and how they afford mathematical engagement. We conducted a qualitative study of 106 5-to-6-year-old children completing coding tasks (42 hours of video). Our research questions focused on children's perceptions of design features, mathematical engagement, and how different design features afforded mathematics engagement. Results indicated (a) children perceived a variety of design features across coding toys; (b) children engaged …

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Comparison Of Value At Risk Using Historical And Monte Carlo Methods On Pt Xyz Stock Portofolio, Eka Fitriani, Yulial Hikmah, Ira Rosianal Hikmah Jun 2024

Comparison Of Value At Risk Using Historical And Monte Carlo Methods On Pt Xyz Stock Portofolio, Eka Fitriani, Yulial Hikmah, Ira Rosianal Hikmah

Jurnal Administrasi Bisnis Terapan

One way to achieve profits in a company is through investment activities. However, everything has risks. Investing can also be risky. Therefore, the relationship between risk and investment is important because it will influence the determination of investment selection. The problem faced by investors is choosing an efficient portfolio, or a portfolio that provides the smallest risk. This risk can be done by measuring risk, one of which is using the Value at Risk (VaR) measure. Measurement using Value at Risk has several methods that are quite popular, namely the Historical Method, Variance-Covariance, and Monte Carlo. In this research, the …

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Ai Literacy Innovations: Chatgpt's Integration Into A First-Year Information Literacy Program, Taylor J. Greene, Douglas R. Dechow Jun 2024

Ai Literacy Innovations: Chatgpt's Integration Into A First-Year Information Literacy Program, Taylor J. Greene, Douglas R. Dechow

Library Presentations, Posters, and Audiovisual Materials

In the dynamic field of information technology, integration of Artificial Intelligence (AI) literacy into information literacy instruction is now essential to ensure the ethical and productive use of generative AI by our students. This poster demonstrates our innovative approach to embedding AI literacy within the first-year information literacy program at an R2 research university. We used a two-pronged strategy: an “AI Literacy” section in Canvas and practical demonstrations of applying ChatGPT in live library sessions. The Canvas module section equips students with foundational knowledge and critical thinking about using generative AI for research and learning activities. It covers AI fundamentals, …

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Teacher Development- Going Beyond Conventional To A Collaborative Approach, Scott Robinson Jun 2024

Teacher Development- Going Beyond Conventional To A Collaborative Approach, Scott Robinson

Graduate Teacher Education

Professional development (PD) is a foundation of growth for K-12 educators. PD is the mechanism that allows teachers to improve their teaching by learning new materials or strategies. Teacher learning is essential in providing students with a high-quality education. Not all PD models are equal or designed the same way. There are many types of PD, and some models significantly impact teacher motivation, effectiveness, and student outcomes. Teachers expressed that traditional methods of PD were not meeting their needs and that a more collaborative approach would provide more opportunities for professional growth. Studies indicated that while a moderate amount of …

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Control And Management Of The Balance Of Active And Reactive Power In A Power Supply System With A Solar Power Plant, Narzullo Nuriddinovich Mirzoyev, Siroj Sobirovich Nurov Jun 2024

Control And Management Of The Balance Of Active And Reactive Power In A Power Supply System With A Solar Power Plant, Narzullo Nuriddinovich Mirzoyev, Siroj Sobirovich Nurov

Chemical Technology, Control and Management

This article discusses the development of a measurement and control system for monitoring and managing the balance of active and reactive power at power plants based on “Green” energy sources. Monitoring and management of the balance of active and reactive power based on a measurement and control system, calculated expressions are developed to solve the problem of reactive power compensation when transmitting electricity at power plants based on “green” energy sources. Reactive power is calculated based on measured active power, and combined reactive power sources generate the reactive power required by the network based on control signals. Schemes for connecting …

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Assessment Of Metrological Errors Of Recognition Metrics In The Intelligent Control And Regulation System Of The Cotton Harvesting Machine, Erkin Uljaev, Utkirjon Murodillaevich Ubaydullaev, Azizjon Abdulla Ugli Abdulhamidov Jun 2024

Assessment Of Metrological Errors Of Recognition Metrics In The Intelligent Control And Regulation System Of The Cotton Harvesting Machine, Erkin Uljaev, Utkirjon Murodillaevich Ubaydullaev, Azizjon Abdulla Ugli Abdulhamidov

Chemical Technology, Control and Management

This article presents a method for assessing the error of metrics of an intelligent system for monitoring and regulating the width of the working gap of the harvesting apparatus of a cotton picker. To assess the error, the calculation of the average value of the standard deviation of metrics, absolute systematic and random errors, as well as absolute and relative total errors are used. The results of these calculations will allow us to determine the accuracy of the recognition system and opportunities for its improvement.

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Structural And Parametric Identification Of Recycling Systems, Khusan Igamberdiev, Madina Mirxalilovma Fozilova Jun 2024

Structural And Parametric Identification Of Recycling Systems, Khusan Igamberdiev, Madina Mirxalilovma Fozilova

Chemical Technology, Control and Management

The issue of identifying recirculation systems with a specific control loop, in which information and control information about various technological processes circulate, is being considered. A methodology for identifying recirculation systems has been developed, based on algorithms for structural identification of the model based on the results of assessing the sensitivity of the optimum of control parameters and a fuzzy inference algorithm based on production rules that contribute to solving the problem of parametric identification.

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