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Articles 781 - 810 of 27043
Full-Text Articles in Entire DC Network
Culturally Responsive Social-Emotional Training And Supplemental Resources For Early Childhood Teachers, Danielle Johnson
Culturally Responsive Social-Emotional Training And Supplemental Resources For Early Childhood Teachers, Danielle Johnson
Masters Projects
Black students are overrepresented in discipline and behavior referrals in the early childhood setting. Given the increasing need for young black children to learn social emotional skills, how can teachers effectively support them with inadequate curriculum? There is significant research that shows the possible reasons why there is an over representation of black students being labeled as a behavior problem in early childhood educational settings. These reasons can create a negative cycle for black students causing much harm to their education and their views of school. Teachers can attempt to resolve this issue by implementing a culturally responsive Social-Emotional Learning …
Page Rank Algorithm In Java, Nikkil Bollman
Page Rank Algorithm In Java, Nikkil Bollman
Masters Projects
The PageRank algorithm is introduced by Google, It is used in search engine optimization, and ranking web pages based on their significance and importance based on a graph structure. This project focuses on implementing the PageRank algorithm using Java and Spring Boot, with Apache Spark as the core technologies for graph data processing. The project aims to compute PageRank scores for nodes in a directed graph, simulating real-world scenarios such as web page ranking and link analysis. The implementation is designed to handle large datasets efficiently by leveraging Spark's distributed computing capabilities and GraphFrames' robust graph processing framework. The workflow …
Creating A Colab Notebook Based On The Tutorial Of The Simpy Python Library, Mary Deepika Basani
Creating A Colab Notebook Based On The Tutorial Of The Simpy Python Library, Mary Deepika Basani
Masters Projects
This project introduces an interactive Google Colab notebook designed to familiarize users with the core functionalities of the SymPy Python library, a powerful tool for symbolic computation. SymPy offers an extensive range of capabilities essential for mathematical modeling, algebraic operations, calculus, and matrix manipulations. The notebook serves as an educational platform, allowing users to experiment with small examples and explore practical applications of symbolic computation in real time. Organized into sections, the notebook focuses on key SymPy features such as simplification, equation solving, differentiation, integration, and matrix operations. Each section includes clear explanations, practical demonstrations, and interactive exercises, helping users …
Mri Alzheimer’S Disease Prediction, Vikram Ayyawari
Mri Alzheimer’S Disease Prediction, Vikram Ayyawari
Masters Projects
Alzheimer’s Disease (AD) is a significant and growing global health issue, affecting millions of people around the world. Despite ongoing research, there is currently no cure or highly effective treatment for AD, making early detection essential to slowing its progression and alleviating its impact on patients and healthcare systems. This project explores the use of the "Augmented Alzheimer MRI Dataset V2," a specialized dataset developed to improve the precision and reliability of machine learning models for diagnosing and classifying different stages of AD from MRI scans. The dataset includes MRI images categorized into four classes representing different stages of cognitive …
Re: Comment Letter For 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 (Dated December 3, 2024), Molly Roby
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Tag-Based Security In C: Writing And Specifying Flexible Protection, Sean Noble Anderson
Tag-Based Security In C: Writing And Specifying Flexible Protection, Sean Noble Anderson
Dissertations and Theses
The C language is ubiquitous and insecure. Tag-based security policies offer a flexible toolkit for runtime protection, including policies that mitigate the effects of undetected programming bugs and those that enforce security properties of the program logic. But tag policies can be difficult to define, and the protection that they offer can be difficult to specify and to prove.
This dissertation builds from an assembly-level specification of stack safety, encompassing the essential control-flow structure of C and other high level languages, to a C source-level policy definition framework called Tagged C. Tagged C includes a variant C semantics parameterized by …
Investigating Student Expectations, Buy-In, And Engagement In Lower Division Undergraduate Chemistry Labs, Elizabeth Blanche Vaughan
Investigating Student Expectations, Buy-In, And Engagement In Lower Division Undergraduate Chemistry Labs, Elizabeth Blanche Vaughan
Dissertations and Theses
Laboratory courses constitute an integral aspect of chemistry education at the undergraduate level. Despite their prominence, a growing number of researchers have begun to think more critically about the value of laboratory learning experiences. As pedagogical decisions should be based on evidence, it is necessary for chemistry education researchers and practitioners to investigate the claim that teaching laboratories are a valuable part of science education. Therefore, the aim of this dissertation was to address one small section of this gap in the literature by obtaining a more robust understanding of students' expectations, buy-in, and engagement in lower division, undergraduate, chemistry …
Landslide Mapping, Characterization, And Hazard Assessment With 3d Slope Stability Modeling In White Bluffs, Washington State, Anna Tsitsivas
Landslide Mapping, Characterization, And Hazard Assessment With 3d Slope Stability Modeling In White Bluffs, Washington State, Anna Tsitsivas
Dissertations and Theses
Slope failures shape the landscape by moving unstable material downslope and, in doing so, become a great hazard to all those in their path. Understanding the mechanisms that control landslide location, timing, size, type, and runout - and therefore hazards - requires a deep understanding of the local geology, stratigraphy, and groundwater conditions. Along White Bluffs, in south-central Washington, landslides of several failure styles have likely been triggered by an increased water table in recent decades, threatening both farmland behind the bluffs and habitat below. This study focuses on characterizing potential groundwater sources and determining controls on spatial and temporal …
Aquatic Plant Threats To The Columbia River, Jacob Rose, Gabriel Campbell
Aquatic Plant Threats To The Columbia River, Jacob Rose, Gabriel Campbell
Center for Lakes and Reservoirs Publications and Presentations
These presentation slides provide an overview of some of the invasive aquatic plants that pose an emerging threat to Oregon waterways. It contains botanical notes and high-quality photographs of approximately nine different plant species. Additional slides emphasize the importance of early detection and rapid response, as well as existing resources for invasive species outreach. This presentation was given orally at the Oregon Department of Agriculture's Interagency Noxious Weed Symposium to an audience of natural resource practitioners.
Emerging Aquatic Plant Threats To Oregon Waterways, Jacob Rose, Gabriel Campbell
Emerging Aquatic Plant Threats To Oregon Waterways, Jacob Rose, Gabriel Campbell
Center for Lakes and Reservoirs Publications and Presentations
This brief presentation provides an overview some of two invasive aquatic plants that pose a threat to the Columbia River, where it borders Oregon and Washington. Flowering rush (Butomus umbellatus) and fragrant waterlily (Nymphaea odorata) threaten aquatic habitats up and down the Columbia River. Staff from the Center for Lakes & Reservoirs promoted a quick, picture-based key for flowering rush and lookalikes. This presentation was given orally at the Oregon Department of Agriculture's Interagency Noxious Weed Symposium to an audience of natural resource practitioners.
Trebuchets Were Not Siege Guns, So Why Use Them?, Michael S. Fulton
Trebuchets Were Not Siege Guns, So Why Use Them?, Michael S. Fulton
'Atiqot
Counterweight trebuchets were the most powerful ballistic weapons of their day, but their association with later siege guns has led to misunderstandings of their destructive capabilities. This article is an attempt to correct some misguided ideas by providing a short overview of the power and value of mechanical artillery and contextualizing its use in the Levant during the twelfth and thirteenth centuries. After addressing the origin of certain theories that these engines were far more destructive than seems to have been the reality, a brief assessment of their actual power is conducted by looking at the ways sources exaggerate the …
Establishing A Secure Sharing Environment Using Partial Cryptographic Keys, Salmaan Rashid
Establishing A Secure Sharing Environment Using Partial Cryptographic Keys, Salmaan Rashid
Defensive Publications Series
A system for establishing a secure sharing environment using partial cryptographic keys. The proposed system uses a complete cryptographic key divided into multiple partial keys and provided to two or more participants. The participants attest each TEE of the secure sharing environment desired for use and send, to each TEE, their respective partial key. Each TEE combines the received partial keys to generate the complete cryptographic key. Using the complete cryptographic key, the TEEs can securely communicate and share data with each other.
Principles Of Geographical Informationsystems By Peter A. Burrough And Rachael A. Mcdonnell, M. Duane Nellis
Principles Of Geographical Informationsystems By Peter A. Burrough And Rachael A. Mcdonnell, M. Duane Nellis
The Geographical Bulletin
This book provides university faculty and students, as well as the practitioner, an introduction to the theoretical and technical principles that need to be understood to work effectively in Geographic Information Systems (GIS). General principles, opportunities, and pitfalls of recording, collecting, storing, retrieving, analyzing, and presenting spatial information are examined.
Managing Growth In America's Communities By Douglas R. Porter, Wendy Shaw
Managing Growth In America's Communities By Douglas R. Porter, Wendy Shaw
The Geographical Bulletin
Contemporary community planning and the managing of growth involves complex decisions requiring considera - tion of a host of social, economic, and environmental issues. Managing Growth in America's Communities describes proven ways to manage community growth based on community experience, and presents a new community develop - ment paradigm that links the social, economic, and environmental spheres. This paradigm also seeks to draw together the divergent professional, academic, and citizen perspectives concerning commu - nity growth. The book is organized into 9 chapters, and in addition to the main text of each chapter a variety of authors provide short essays …
Book Review: Ai [Artificial Intelligence] Fundamentals For Business Leaders, Eya Mahouachi
Book Review: Ai [Artificial Intelligence] Fundamentals For Business Leaders, Eya Mahouachi
The Journal of Values-Based Leadership
Artificial Intelligence Fundamentals for Business Leaders: Up to Date with Generative AI (Byte-sized Learning Book 1) is a recent book in a series of four on Artificial Intelligence. It is authored by I. Almeida, the Chief Transformation Officer at Now Next Later AI, an AI advisory, training, and publishing business that supports organizations with their AI strategy, transformation, and governance.
This book is organized around understanding AI, Data and Data Management, Machine Learning, Deep Learning, Model Selection and Evaluation, and Generative AI. The last chapter incorporates an assignment for leaders. This book employs an effective approach to help readers grasp …
比较机器学习的不同R 包:一项在公开数据集中的应用研究, Daniel O. Oyeniran, 曾 晴
比较机器学习的不同R 包:一项在公开数据集中的应用研究, Daniel O. Oyeniran, 曾 晴
Chinese/English Journal of Educational Measurement and Evaluation | 教育测量与评估双语期刊
机器学习已经成为包括教育领域在内的诸多领域中不可或缺的用于预测的方法。Python 和 R 是机器学习的主流编程工具。为了更好地进行机器学习分析,研究人员开发了功能各异的 R 包。本文探讨了 R 语言中两个主要的机器学习程序包在估计指标方面的功能性与经验性差异。这项比较研究为研究者高效使用R 包提供了综合指导,既能促进科学决策,又能帮助研究者在数据驱动型的研究和实践应用中采用有效的方法。本研究的发现确保研究人员在选择 R 包时做出明智决策,并理解替代方案,同时为实践者降低了算法应用的技术门槛。
Comparison Of Machine Learning Packages In R: An Application With Open Dataset, Daniel O. Oyeniran
Comparison Of Machine Learning Packages In R: An Application With Open Dataset, Daniel O. Oyeniran
Chinese/English Journal of Educational Measurement and Evaluation | 教育测量与评估双语期刊
Machine learning has become a prominent approach for prediction in many fields of endeavor, including education. Python and R have become leading software while different packages have been developed for the purpose of carrying out machine learning analysis with differences in functions in R. This paper explored the functional and empirical differences of two major machine learning packages in R to estimate metrics. This comparative study provides a comprehensive guide for leveraging machine learning packages in R, facilitating informed decision-making, and advancing the adoption of effective methodologies in data-driven research and application. Findings in this study ensure that researchers make …
Automated Text Scoring In The Age Of Generative Ai For The Gpu-Poor, Chris M. Ormerod, Alexander Kwako
Automated Text Scoring In The Age Of Generative Ai For The Gpu-Poor, Chris M. Ormerod, Alexander Kwako
Chinese/English Journal of Educational Measurement and Evaluation | 教育测量与评估双语期刊
Abstract Current research on generative language models (GLMs) for automated text scoring (ATS) has focused almost exclusively on querying proprietary models via Application Programming Interfaces (APIs). Yet such practices raise issues around transparency and security, and these methods offer little in the way of efficiency or customizability. With the recent proliferation of smaller, open-source models, there is the option to explore GLMs with computers equipped with modest, consumer-grade hardware—that is, for the “GPU poor.” In this study, we analyze the performance and efficiency of open-source, small-scale GLMs for ATS. Results show that GLMs can be fine-tuned to achieve adequate, though …
Volume 60, Issue 1, 2024 Speaker & Gavel
Volume 60, Issue 1, 2024 Speaker & Gavel
Speaker & Gavel
Complete digital issue (Volume 60, issue 1, 2024) of Speaker & Gavel.
My Larry Story: Around The Horn, Susan Collie, Randy Cox, Daniel Cronn-Mills, Joel Hefling, Todd T. Holm, Vicki Karns, James Kimble, Lee Mayfield, Karen (Piercy) Morris, Richard Paine, John Perlich, Judy Santacatarina, Dan Smith, Leah White, David Whitt, David Worth
My Larry Story: Around The Horn, Susan Collie, Randy Cox, Daniel Cronn-Mills, Joel Hefling, Todd T. Holm, Vicki Karns, James Kimble, Lee Mayfield, Karen (Piercy) Morris, Richard Paine, John Perlich, Judy Santacatarina, Dan Smith, Leah White, David Whitt, David Worth
Speaker & Gavel
This article celebrates the life of Larry Schnoor.
Exfoliated Hydrotalcite-Transition Metal Complex Composite For Eco-Friendly And Efficient Catalytic Degradation Of 4-Nitrophenol, Sidra Khan, Najma Memon, Saima Q. Memon, Yilmaz Yurekli
Exfoliated Hydrotalcite-Transition Metal Complex Composite For Eco-Friendly And Efficient Catalytic Degradation Of 4-Nitrophenol, Sidra Khan, Najma Memon, Saima Q. Memon, Yilmaz Yurekli
Karbala International Journal of Modern Science
Nitrophenols are notorious aquatic organic contaminants found as degradation products of various parent compounds, including pesticides and industrial chemicals that persist in the environment and must be removed. Catalytic degradation is one of the feasible routes to clean the contaminated water systems, however, environmental contamination with catalysts is also widespread. Herein, we report an environmentally friendly catalyst based on composited Fe-Schiff’s base with exfoliated layered double hydroxides (LDH) of aluminum and nickel (hydrotalcite). The composite showed agglomerated pleated LDH structures sheathed with Fe(III)SB. Nitrogen adsorption isotherm data exhibited improved surface area and narrow pores patterns for composite as compared to …
Optimal Algorithm For Managing On-Campus Student Transportation, Youssef Harrath, Jood Alyusuf, Zeena Ghulam, Muna Aldoseri
Optimal Algorithm For Managing On-Campus Student Transportation, Youssef Harrath, Jood Alyusuf, Zeena Ghulam, Muna Aldoseri
Research & Publications
This study analyzed the transportation issues at the University of Bahrain Sakhir campus, where a bus system with an unorganized and fixed number of buses allocated each semester was in place. Data was collected through a survey, onsite observations, and student schedules to estimate the number of buses needed. The study was limited to students who require to move between buildings for academic purposes and not those who choose to ride buses for other reasons. An algorithm was designed to calculate the optimal number of buses for each time slot, and for each day. This solution could improve transportation efficiency, …
The Complete Genome Sequence Of Splendidofilaria Pectoralis (Onchocercidae, Rhabditida, Chromadorea, Nematoda), Andrew Sweet, Robert E. Wilson, Jack Reakoff, Sarah A. Sonsthagen, Colleen Hurst, Stacy Pirro
The Complete Genome Sequence Of Splendidofilaria Pectoralis (Onchocercidae, Rhabditida, Chromadorea, Nematoda), Andrew Sweet, Robert E. Wilson, Jack Reakoff, Sarah A. Sonsthagen, Colleen Hurst, Stacy Pirro
School of Natural Resources: Faculty Publications
We present the complete genome sequence of Splendidofilaria pectoralis, a nematode parasite of grouse (Aves: Galliformes: Tetraonini). Illumina paired-end reads were assembled by a de novo method followed by a finishing step. The raw and assembled data are publicly available via GenBank: Sequence Read Archive (SRR28509439) and assembled genome (JBFSWT000000000).
Constructing And Testing Of Photomultiplier Tubes For Coincidence Experiments, Christepher Zamora
Constructing And Testing Of Photomultiplier Tubes For Coincidence Experiments, Christepher Zamora
Physics Capstone Projects
Muons are particles that can be created by the collision and decay of cosmic rays with the upper atmosphere. Many detectors have been manufactured to detect these particles. This paper describes how muons can be detected. It details the process of constructing and testing of scintillation photomultiplier tubes. This paper also details what was observed during the construction and what was done by the experimenter to correct perceived issues.
A Text-Linguistic Analysis Of Deliberative Discourse In Hebrew With Review Of The Lxx Translation, Timothy C. Lang
A Text-Linguistic Analysis Of Deliberative Discourse In Hebrew With Review Of The Lxx Translation, Timothy C. Lang
Masters Theses
This thesis intends to demonstrate that linguistics, specifically the text-linguistic (TL method), may be practically applied to biblical translation and interpretation. Consequently, one may use text-linguistics to discover the biblical author’s intended meaning expressed through the structure of the text. Foundationally, the work of Robert Longacre and Kenneth L. Pike is applied. Functionally, this thesis tests the process described in the dissertation of Ewell Ray Clendenon. While the word test is used, the test is not intended to validate or invalidate the TL method. Rather, the test is analogous to that of a mathematician whereby a proof test is applied …
Verbal Working Memory And Syntactic Comprehension Segregate Into The Dorsal And Ventral Streams, Respectively, William Matchin, Zeinab K. Mollasaraei, Leonardo Bonilha, Chris Rorden, Gregory Hickok, Dirk Den Ouden, Julius Fridriksson Ph.D.
Verbal Working Memory And Syntactic Comprehension Segregate Into The Dorsal And Ventral Streams, Respectively, William Matchin, Zeinab K. Mollasaraei, Leonardo Bonilha, Chris Rorden, Gregory Hickok, Dirk Den Ouden, Julius Fridriksson Ph.D.
Faculty Publications
Syntactic processing and verbal working memory are both essential components to sentence comprehension. Nonetheless, the separability of these systems in the brain remains unclear. To address this issue, we performed causal-inference analyses based on lesion and connectome network mapping using MRI and behavioural testing in two groups of individuals with chronic post-stroke aphasia. We employed a rhyme judgement task with heavy working memory load without articulatory confounds, controlling for the overall ability to match auditory words to pictures and to perform a metalinguistic rhyme judgement, isolating the effect of working memory load (103 individuals). We assessed non-canonical sentence comprehension, isolating …
The Learner's Experience Using Augmented Reality, Michael Lionel Atkinson
The Learner's Experience Using Augmented Reality, Michael Lionel Atkinson
Theses and Dissertations
Augmented reality (AR) is a promising learning tool that has the potential to improve learning experiences in unique ways. While AR has been extensively studied in terms of learning outcomes, relatively little has been researched about the qualitative aspect of the learner experience and how that may inform better instruction. This multi-article, journal-ready dissertation addresses this gap. The first article is a review of the literature on what researchers have learned about AR in learning, systematically identifying six areas that appear salient yet underrepresented in the literature. The second article expands further upon this theme by conducting a qualitative study …
Enhancing Cybersecurity Strategies Through Automated Cti Extraction, Risk Prioritization, And Privacy-Conscious Information Sharing, Spencer Rian Massengale
Enhancing Cybersecurity Strategies Through Automated Cti Extraction, Risk Prioritization, And Privacy-Conscious Information Sharing, Spencer Rian Massengale
Theses and Dissertations
Cybersecurity operations require the ability to collect and analyze large amounts of cyber threat intelligence (CTI) to assess risks and formulate defensive strategies against emerging threats. This task has become increasingly complex due to the rapid evolution of cyber threats and the growing volume of unstructured, natural-language CTI sources. The scale of data and analysis needed to utilize CTI effectively far exceeds humans' manual capacity, especially for organizations with limited resources. This research focuses on leveraging Large Language Models (LLMs) and machine learning techniques to enhance CTI extraction, risk assessment, and data sharing. We utilized LLMs to automate the extraction …
New Insights Into Supradense Matter From Dissecting Scaled Stellar Structure Equations, Bao-Jun Cai, Bao-An Li
New Insights Into Supradense Matter From Dissecting Scaled Stellar Structure Equations, Bao-Jun Cai, Bao-An Li
Faculty Publications
The strong-field gravity in general relativity (GR) realized in neutron stars (NSs) renders the equation of state (EOS) P(ε) of supradense neutron star matter to be essentially nonlinear and refines the upper bound for ϕ≡P/ε to be much smaller than the special relativity (SR) requirement with linear EOSs, where P andεare respectively the pressure and energy density of the system considered. Specifically, a tight bound ϕ ≲ 0.374 is obtained by perturbatively anatomizing the intrinsic structures of the scaled Tolman–Oppenheimer–Volkoff (TOV) equations without using any input nuclear EOS. New insights gained from this novel analysis provide EOS-model-independent constraints on the …
How Does Augmentation Affect Feature Space: A Study Using Various Augmentation Methods In Distributed Learning, Nikil Sharan Prabahar Balasubramanian
How Does Augmentation Affect Feature Space: A Study Using Various Augmentation Methods In Distributed Learning, Nikil Sharan Prabahar Balasubramanian
Computer Science Theses
This thesis examines the impact of data augmentation techniques on model performance within a distributed learning framework, focusing on enhancing feature diversity and improving representation for under-represented classes. Data augmentation, commonly used to address data imbalance, significantly influences the feature space learned by deep learning models, with varied effects in distributed settings where data is split across nodes. Our study reveals that inconsistencies in feature learning across nodes reduce the benefits of local augmentation in capturing complex patterns, leading to suboptimal model performance. To address this, we propose a coherent augmentation approach that embeds consistent transformations in the central server, …