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Evaluation Of A Guide To Accessing Accommodations During Medical School Created By And For Students With Disabilities, Nora Newcomb, Emily Coughlin, Zainub Dhanani, Kie Fujii, Lily Upp, Harika Kottakota, Rahul Mhaskar, Andrew Galligan Jan 2025

Evaluation Of A Guide To Accessing Accommodations During Medical School Created By And For Students With Disabilities, Nora Newcomb, Emily Coughlin, Zainub Dhanani, Kie Fujii, Lily Upp, Harika Kottakota, Rahul Mhaskar, Andrew Galligan

Journal of Science Education for Students with Disabilities

Medical students with disabilities constitute 7.6% of allopathic (MD) and 4.3% of osteopathic (DO) programs, and they are entitled to reasonable accommodation, per the Americans with Disabilities Act. However, research has demonstrated that disabled medical students often encounter barriers when accessing accommodations. In response to these barriers, Medical Students with Chronic Illness and Disability (MSDCI) National created the MSDCI Guide to Accessing Disability Accommodations During Undergraduate Medical Education (the Guide). We conducted a program evaluation to evaluate the efficacy of the Guide as a resource to the members of MSDCI, a program evaluation was conducted. A Qualtrics survey was distributed …

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The Effect Of Using Wordwall On Academic Achievement And Motivation Towards Learning Mathematics Among Sixth Grade Students In Nablus District, Tahani A. Abd Al-Aziz, Soheil H. Salha, Abdelrahman M. Abu Sarah Jan 2025

The Effect Of Using Wordwall On Academic Achievement And Motivation Towards Learning Mathematics Among Sixth Grade Students In Nablus District, Tahani A. Abd Al-Aziz, Soheil H. Salha, Abdelrahman M. Abu Sarah

An-Najah University Journal for Research - B (Humanities)

Aim: This study aimed to investigate the effect of using Wordwall on academic achievement and motivation towards learning mathematics among sixth grade students in the Nablus District. Methodology: this study used the experimental method with a semi-experimental design, and the study was applied to a sample of 46 female students from the sixth grade at Sarra Secondary School for Girls. They were divided equally into two groups: control and experimental. The algebra unit was taught to the students of the experimental group using Wordwall. The researcher used a pre-test to verify the equivalence of the two study groups, a scale …

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Developing The Reading Skill And Intercultural Communicative Competence Using Multicultural Narratives At Tertiary Level In Palestine, Hassan Abdul Hamid Naqeeb Jan 2025

Developing The Reading Skill And Intercultural Communicative Competence Using Multicultural Narratives At Tertiary Level In Palestine, Hassan Abdul Hamid Naqeeb

An-Najah University Journal for Research - B (Humanities)

Objectives: The present study aimed to investigate the impact of teaching multicultural narratives using intensive reading skills on promoting the intercultural communicative competence (ICC) and improving reading skill achievement at the tertiary level in Palestine. Methodology: To achieve this purpose, the researcher randomly selected 160 university freshmen students learning English as an obligatory course at tertiary level in Palestine during the second semester of the academic skills evenly into two groups: an experimental group and a control group. Both groups were taught the same multicultural narratives using the intensive reading skills by the researcher himself. They were assessed using the …

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Met 302-104: Analysis And Design Of Machine Elements Ii, Ahmed Belal Jan 2025

Met 302-104: Analysis And Design Of Machine Elements Ii, Ahmed Belal

School of Applied Engineering and Technology Syllabi

No abstract provided.

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Elementary School Teachers’ Perspectives Regarding Handwriting Fluency And Writing Proficiency In Elementary Students, Sofia Doyle For Scott Doyle Jan 2025

Elementary School Teachers’ Perspectives Regarding Handwriting Fluency And Writing Proficiency In Elementary Students, Sofia Doyle For Scott Doyle

Walden Dissertations and Doctoral Studies

The problem that was addressed in this study is that the majority of students nationwide demonstrate low writing proficiency and handwriting fluency. The purpose of this study was to explore elementary school teachers’ perspectives regarding handwriting fluency and its role in the overall writing skills of elementary students. This study was grounded in Piaget’s cognitive learning theory. Four research questions focused on teachers’ perspectives; two questions focused on factors that contribute to low achievement in handwriting and writing proficiency and two questions asked teachers about their experiences with the strategies they used to support students in handwriting and writing achievement. …

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Teachers’ Challenges With Implementing Differentiated Instructional Strategies In Grade 5 Through 8 Classrooms, Sharda Massey Jan 2025

Teachers’ Challenges With Implementing Differentiated Instructional Strategies In Grade 5 Through 8 Classrooms, Sharda Massey

Walden Dissertations and Doctoral Studies

The research problem addressed in this study was that general education teachers in Grades 5 through 8 face challenges when implementing differentiated instruction (DI) in classrooms across the United States. With the increasing adoption of DI, understanding these challenges is essential to provide effective support. The purpose of this basic qualitative study was to explore teachers’ challenges in Grades 5–8 when using DI strategies and what support is needed to use these strategies better. Guided by Tomlinson’s DI approach, a basic qualitative design was used and semistructured interviews were conducted with eight teachers, allowing for an in-depth understanding of their …

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Big Data Management Within Multi-Objective Optimization Modeling For Sustainable Food Production, Breanna Paige Modica Jan 2025

Big Data Management Within Multi-Objective Optimization Modeling For Sustainable Food Production, Breanna Paige Modica

Walden Dissertations and Doctoral Studies

Producing enough food to feed a growing human population without further degrading the environment through unsustainable natural resource use is a global issue. The purpose of this quantitative nonexperimental study was to examine the extent to which big data management of environmental impact sources, assessment methods, and allocation methods in multi-objective optimization (MOO) modeling affect the consistency and predictability of sustainable food animal feed management practices at the farm level. Representation theory, the theory of effective use of information systems, the dynamic capabilities view, and the natural resource-based view were used to describe the necessity of accurately representing and managing …

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Great Salt Lake Data And Insights Summary: A Synthesized Resource Document For The 2025 General Legislative Session, William Anderegg, Craig Buttars, Joel Ferry, Natalie Gochnour, Kim Shelley, Brian Steed, David G. Tarboton, Leila Ahmadi, Eric Albers, Blake Bingham, Paul D. Brooks, Tim Davis, Eric Dixon, Joanna Endter-Wada, Tage Flint, Candice Hasenyager, Timothy Hawkes, William Johnson, John Lin, John Mackey, Anna Mcentire, Bethany T. Neilson, Sarah Null, Kevin Perry, Ben Stireman, Courenay Strong, Laura Vernon, Marisa Weinberg, Matt Yost Jan 2025

Great Salt Lake Data And Insights Summary: A Synthesized Resource Document For The 2025 General Legislative Session, William Anderegg, Craig Buttars, Joel Ferry, Natalie Gochnour, Kim Shelley, Brian Steed, David G. Tarboton, Leila Ahmadi, Eric Albers, Blake Bingham, Paul D. Brooks, Tim Davis, Eric Dixon, Joanna Endter-Wada, Tage Flint, Candice Hasenyager, Timothy Hawkes, William Johnson, John Lin, John Mackey, Anna Mcentire, Bethany T. Neilson, Sarah Null, Kevin Perry, Ben Stireman, Courenay Strong, Laura Vernon, Marisa Weinberg, Matt Yost

Watershed Sciences Faculty Publications

In 2024, Great Salt Lake continued to rise from the record-low elevation reached in 2022, aided by two years of above-average precipitation and the adaptive management berm. Economic activity, public health, and the lake's ecosystems continue to be adversely impacted by low water levels. This summary synthesizes essential data and insights so decision-makers have the information they need to improve water management, increase water deliveries to the lake, mitigate adverse impacts, and recover the lake to a healthy range.

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Investigating Student Experiences With Math Anxiety, Wendy Elaine Davis Jan 2025

Investigating Student Experiences With Math Anxiety, Wendy Elaine Davis

Student Theses and Dissertations

Math anxiety is a fear of math-related activities. The problem addressed in this study is the lack of understanding of the link between math anxiety and math performance. Students and educators are affected by math anxiety. The fear of math can also affect individuals when completing real-world activities such as filing taxes, calculating sales discounts, or computing percentages. The purpose of this phenomenological qualitative study was to investigate how students who self-identify as having math anxiety perceive its effects on their mathematical performance. It also sought to identify types of events or academic experiences that contribute to math anxiety. The …

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Butte Priority Soils Operable Unit (Bpsou) Final Bpsou Insufficiently Reclaimed Sites Belle Of Butte (Bres No. 8 & Ur-39) Remedial Action Work Plan (Rawp) Request For Change Ir- 2024-Ra-01, Mike Mcanulty Jan 2025

Butte Priority Soils Operable Unit (Bpsou) Final Bpsou Insufficiently Reclaimed Sites Belle Of Butte (Bres No. 8 & Ur-39) Remedial Action Work Plan (Rawp) Request For Change Ir- 2024-Ra-01, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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A Case Study Of Teacher Perceptions On The Impact Of Professional Learning Communities On Teacher Efficacy And Collaboration, Patrice Mckelvey Green Jan 2025

A Case Study Of Teacher Perceptions On The Impact Of Professional Learning Communities On Teacher Efficacy And Collaboration, Patrice Mckelvey Green

Student Theses and Dissertations

This qualitative case study investigates how Professional Learning Communities (PLCs) influence teacher self-efficacy and collaboration in a rural school district. Using a qualitative case study approach, researchers will collect qualitative data through focus groups and interviews. Themes drawn from this study include trust and relationships as the foundation of collaboration, structure and purpose, challenges and barriers, teacher buy-in and perceptions, trust and collaboration, PLC structure and implementation, and the impact on teacher efficacy and student success. The study concludes that implementing and participating in PLCs can increase educator efficacy and collaboration. To address the lack of PLC participation, leadership should …

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Elementary Educators' Perceptions Regarding The Coaching Model In Urban Schools: A Case Study, Kamile Lilieth Mcneil Jan 2025

Elementary Educators' Perceptions Regarding The Coaching Model In Urban Schools: A Case Study, Kamile Lilieth Mcneil

Student Theses and Dissertations

Instructional coaching is used as a form of professional development to support teaching and learning in many school districts. To address the needs of the teacher relevant to improving instructional practices, instructional coaches employ the coaching model. The coach model serves as a strategy to determine the approach needed to support teacher development and growth. This study addressed the lack of research regarding the perceptions of teachers and instructional coaches who engage in the use of a coaching model to improve teaching and learning. Using cognitive apprenticeship theory and complex theory framework, this study examined educators’ perceptions of the effectiveness …

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Artificial Intelligence For The Detection Of Acute Myeloid Leukemia From Microscopic Blood Images; A Systematic Review And Meta-Analysis, Feras Al-Obeidat, Wael Hafez, Asrar Rashid, Mahir Khalil Jallo, Munier Gador, Ivan Cherrez-Ojeda, Daniel (Centro De Investigación De Salud Pública Y Epidemiología Clínica Simancas-Racines, , Universidad Ute, Quito, Ecuador , Universidad Ute, Quito, Ecuador Jan 2025

Artificial Intelligence For The Detection Of Acute Myeloid Leukemia From Microscopic Blood Images; A Systematic Review And Meta-Analysis, Feras Al-Obeidat, Wael Hafez, Asrar Rashid, Mahir Khalil Jallo, Munier Gador, Ivan Cherrez-Ojeda, Daniel (Centro De Investigación De Salud Pública Y Epidemiología Clínica Simancas-Racines, , Universidad Ute, Quito, Ecuador , Universidad Ute, Quito, Ecuador

All Works

Leukemia is the 11th most prevalent type of cancer worldwide, with acute myeloid leukemia (AML) being the most frequent malignant blood malignancy in adults. Microscopic blood tests are the most common methods for identifying leukemia subtypes. An automated optical image-processing system using artificial intelligence (AI) has recently been applied to facilitate clinical decision-making. To evaluate the performance of all AI-based approaches for the detection and diagnosis of acute myeloid leukemia (AML). Medical databases including PubMed, Web of Science, and Scopus were searched until December 2023. We used the “metafor” and “metagen” libraries in R to analyze the different models used …

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Factors That Overcome Barriers For African American Educators In Educational Leadership, Joshua Allen Williams Jan 2025

Factors That Overcome Barriers For African American Educators In Educational Leadership, Joshua Allen Williams

Online Theses and Dissertations

The demographic landscape of the United States has indeed been undergoing significant changes over the past few decades, marked by a growing diversity in its population. This shift is primarily driven by factors such as immigration, higher birth rates among certain ethnic and racial groups, and the aging of the white population. According to a report published by the Census Bureau the United States is projected to be a majority minority country by 2044. The term "majority-minority" refers to a situation where no single racial or ethnic group constitutes a majority of the population. As a result of this shift, …

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Rural, Gifted Student Experience In Appalachian Kentucky, Olivia G. Jarrell Jan 2025

Rural, Gifted Student Experience In Appalachian Kentucky, Olivia G. Jarrell

Graduate Theses, Dissertations, and Capstones

Current literature shows that gifted students' experiences often differ from nongifted peers. Similarly, research shows that rural students’ experiences are unique compared to nonrural peers. This study hopes to address the gap in literature on experiences of students at the intersection of giftedness and rurality with the question: How do rural, gifted students in Appalachian Kentucky experience and perceive K-12 schooling? Rural, gifted students exist in the overlap between two unique groups. Using a multi-case study, participants came from three separate school districts in a region of Appalachian Kentucky, with each district being a separate case. Data collection included observations …

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Teachers’ Challenges With Implementing Differentiated Instructional Strategies In Grade 5 Through 8 Classrooms, Sharda Massey Jan 2025

Teachers’ Challenges With Implementing Differentiated Instructional Strategies In Grade 5 Through 8 Classrooms, Sharda Massey

Walden Dissertations and Doctoral Studies

The research problem addressed in this study was that general education teachers in Grades 5 through 8 face challenges when implementing differentiated instruction (DI) in classrooms across the United States. With the increasing adoption of DI, understanding these challenges is essential to provide effective support. The purpose of this basic qualitative study was to explore teachers’ challenges in Grades 5–8 when using DI strategies and what support is needed to use these strategies better. Guided by Tomlinson’s DI approach, a basic qualitative design was used and semistructured interviews were conducted with eight teachers, allowing for an in-depth understanding of their …

Go to article

Elementary School Teachers’ Perspectives Regarding Handwriting Fluency And Writing Proficiency In Elementary Students, Sofia Doyle For Scott Doyle Jan 2025

Elementary School Teachers’ Perspectives Regarding Handwriting Fluency And Writing Proficiency In Elementary Students, Sofia Doyle For Scott Doyle

Walden Dissertations and Doctoral Studies

The problem that was addressed in this study is that the majority of students nationwide demonstrate low writing proficiency and handwriting fluency. The purpose of this study was to explore elementary school teachers’ perspectives regarding handwriting fluency and its role in the overall writing skills of elementary students. This study was grounded in Piaget’s cognitive learning theory. Four research questions focused on teachers’ perspectives; two questions focused on factors that contribute to low achievement in handwriting and writing proficiency and two questions asked teachers about their experiences with the strategies they used to support students in handwriting and writing achievement. …

Go to article

Big Data Management Within Multi-Objective Optimization Modeling For Sustainable Food Production, Breanna Paige Modica Jan 2025

Big Data Management Within Multi-Objective Optimization Modeling For Sustainable Food Production, Breanna Paige Modica

Walden Dissertations and Doctoral Studies

Producing enough food to feed a growing human population without further degrading the environment through unsustainable natural resource use is a global issue. The purpose of this quantitative nonexperimental study was to examine the extent to which big data management of environmental impact sources, assessment methods, and allocation methods in multi-objective optimization (MOO) modeling affect the consistency and predictability of sustainable food animal feed management practices at the farm level. Representation theory, the theory of effective use of information systems, the dynamic capabilities view, and the natural resource-based view were used to describe the necessity of accurately representing and managing …

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Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft Residential Metals Abatement Program Investigation Summary Report (Non‐Residential Parcels – Indoor Dust) – Cccs Gym Annex (Dated October 4, 2024), Molly Roby Jan 2025

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft Residential Metals Abatement Program Investigation Summary Report (Non‐Residential Parcels – Indoor Dust) – Cccs Gym Annex (Dated October 4, 2024), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Fort Hays State University Tiger Weekly, January 17, 2025, University Relations Jan 2025

Fort Hays State University Tiger Weekly, January 17, 2025, University Relations

Tiger Weekly Newsletters

No abstract provided.

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Two Families Of Graceful Cacti, Christian Barrientos Jan 2025

Two Families Of Graceful Cacti, Christian Barrientos

Communications on Number Theory and Combinatorial Theory

We present a graceful labeling for each member of a subfamily of quadrangular cacti whose underlying graph correspond to the subclass of rooted binary trees where every level has at most two vertices. We also prove the existence of an $\alpha$-labeling (the most restricted type of graceful labeling) for all cyclic snakes, i.e., those cacti whose blocks are copies of the cycle $C_{4n}$ and its maximum degree is four.

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Rediscovering The Roots Of Moroccan Geography In An Era Of Interdependence, Donald J. Zeigler, Driss Fassi Jan 2025

Rediscovering The Roots Of Moroccan Geography In An Era Of Interdependence, Donald J. Zeigler, Driss Fassi

The Geographical Bulletin

The indigenous traditions of Moroccan geography, pioneered by such figures as AI Idrisi and Ibn Khaldun during the classical period of Arab intellectual history (1000-1400), came to be ignored and then replaced with the establishment of a French protectorate in 1912. The era of independence in Moroccan geography was supplanted by an era of dependence on European scholarship, which emphasized resource exploitation and which was to last until political independence in 1956. Following that watershed year, intellectual inquiry became more independent and focused on the development needs of the nation. Following a period of Moroccanization in the 1970s, which included …

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Dunbar’S Number In Motion: Agent-Based Simulations Of Friendship Formation, Christopher R. Cooke, Cameron D. Lutz Jan 2025

Dunbar’S Number In Motion: Agent-Based Simulations Of Friendship Formation, Christopher R. Cooke, Cameron D. Lutz

Northeast Journal of Complex Systems (NEJCS)

By contrasting Lévy flight and random walk strategies in simulated agents, we discern the effect of movement behavior on the total duration of social interactions. Our agent-based simulation results approximate empirically observed Dunbar social circle formation using simple behavioral rules of interaction and compatibility to mimic exogenous attribute-based friendship formation. We simulate the complexities of social interactions among agents with unique attributes and a time budget for social engagement over a one-year period. Two distinct simulations were conducted to evaluate the behavioral contributions of Lévy flight and random walk movement patterns on cumulative interaction duration and the formation of Dunbar …

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Bringing Science And Technology Studies To Bear On Communication Studies Research, Jessica Baldwin-Philippi Jan 2025

Bringing Science And Technology Studies To Bear On Communication Studies Research, Jessica Baldwin-Philippi

Communication Research Trends

No abstract provided.

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Advanced Machine Learning Techniques For Cardiovascular Disease Risk Prediction, Godfred Ahenkroa Kesse Jan 2025

Advanced Machine Learning Techniques For Cardiovascular Disease Risk Prediction, Godfred Ahenkroa Kesse

Data Science and Data Mining

of mortality, necessitating advanced predictive models to aid early detection and prevention. This study explores the application of machine learning techniques, including Lo- gistic Regression, K-Nearest Neighbors (KNN), Random Forest, and XGBoost, to predict CVD risk using a dataset of 69,997 observations encompassing demographic, clinical, and lifestyle factors. Data preprocessing involved one-hot encoding of cat- egorical variables and scaling to ensure compatibility with all models. Model performance was evaluated using metrics such as accuracy, precision, recall, F1-score, and AUC-ROC. Among the models, XGBoost demonstrated the highest accuracy at 74%, leveraging its gradient-boosting framework to effectively handle feature interactions and imbalanced …

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Predicting Blood Glucose Levels: A Linear Regression Approach For Non-Invasive Monitoring, Godfred Ahenkroa Kesse Jan 2025

Predicting Blood Glucose Levels: A Linear Regression Approach For Non-Invasive Monitoring, Godfred Ahenkroa Kesse

Data Science and Data Mining

Accurate monitoring of blood glucose levels is vital for the management of diabetes, a chronic condition affecting millions worldwide. This study explores a linear regression approach to estimate glucose levels non-invasively using a dataset enriched with demographic, physiological, and sensor-based variables. Following rigorous data preparation, including normalization and encoding, a Box-Cox transformation was applied to address violations of regression assumptions, stabilizing variance and improving model validity. Stepwise selection and hypothesis testing were employed to refne the model, retaining signifcant predictors such as AGE, GENDER, HEARTRATE, and DIABETIC, while excluding variables like NIR Reading and LAST EATEN for their minimal contribution. …

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Handwritten Digit Recognition Using Naive Bayes And K-Nearest Neighbor Models, Godfred Ahenkroa Kesse Jan 2025

Handwritten Digit Recognition Using Naive Bayes And K-Nearest Neighbor Models, Godfred Ahenkroa Kesse

Data Science and Data Mining

This paper explores the performance of two fundamental classifcation algorithms. It uses Naive Bayes and K-Nearest Neighbors (KNN), framing it within the context of digit recognition of the MNIST dataset. The MNIST dataset has 70,00 grayscale images of handwritten digits, offering a standard for assessing classifcation models. This paper focuses on key performance metrics such as precision, accuracy, recall, and F1score to examine the effciency of each model. The results reveal that Naive Bayes has moderate accuracy and misclassifcations because of its notion of feature independence. The paper concludes that the KNN model performs better with the optimal k-value of …

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Variable Selection Using Lasso Regression, Godfred Ahenkroa Kesse Jan 2025

Variable Selection Using Lasso Regression, Godfred Ahenkroa Kesse

Data Science and Data Mining

This study employs Lasso regression to analyze highdimensional genetic data for predicting flowering time in maize, specifically Days to Anthesis (DtoA). Lasso, or Least Absolute Shrinkage and Selection Operator, is a form of linear regression that introduces an L1 penalty to the model, encouraging sparsity by shrinking some coefficients to zero. This attribute makes Lasso ideal for feature selection in large datasets, as it highlights the most influential predictors while discarding irrelevant variables. Unlike Ridge regression, which applies an L2 penalty to minimize the squared magnitude of coefficients, Lasso’s L1 penalty induces sparsity, providing a clearer interpretation of the selected …

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Classification And Evaluation Of Machine Learning Algorithms On The Mnist Dataset, Felix Yeboah Jan 2025

Classification And Evaluation Of Machine Learning Algorithms On The Mnist Dataset, Felix Yeboah

Data Science and Data Mining

This paper discusses the use of machine learning algorithms in classifying the MNIST handwritten dataset. The MNIST dataset consists of 28x28 grayscale handwritten images with 10 classes from 0 to 9. The dataset was normalized by scaling the pixel values to a range between 0 and 1 by dividing each pixel value by 255. We compare and evaluate the K-nearest Neighbor and Naive Bayes algorithm based on performance metrics such as accuracy, error rate, f1-score, and precision. The K-nearest Neighbor algorithm achieved better performance in all the evaluation criteria.

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A Risk-Based Regulatory Framework For Algorithm Auditing: Rethinking "Who," "When," And "What", Chia-Yuan Ho Jan 2025

A Risk-Based Regulatory Framework For Algorithm Auditing: Rethinking "Who," "When," And "What", Chia-Yuan Ho

Tennessee Journal of Law and Policy

No abstract provided.

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