Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Physical Sciences and Mathematics (12101)
- Engineering (3690)
- Computer Sciences (3601)
- Life Sciences (3232)
- Education (2949)
-
- Earth Sciences (2659)
- Social and Behavioral Sciences (2104)
- Environmental Sciences (1984)
- Plant Sciences (1651)
- Soil Science (1528)
- Agricultural Science (1499)
- Artificial Intelligence and Robotics (1498)
- Agronomy and Crop Sciences (1496)
- Plant Biology (1476)
- Weed Science (1461)
- Plant Pathology (1458)
- Medicine and Health Sciences (1391)
- Chemistry (1069)
- Mathematics (1000)
- Physics (992)
- Arts and Humanities (984)
- Computer Engineering (780)
- Business (725)
- Statistics and Probability (667)
- Electrical and Computer Engineering (636)
- Sustainability (577)
- Higher Education (563)
- Law (557)
- Civil and Environmental Engineering (531)
- Oceanography and Atmospheric Sciences and Meteorology (525)
- Institution
-
- University of Kentucky (1629)
- University of New Mexico (949)
- Singapore Management University (710)
- University of Texas at Arlington (653)
- New Jersey Institute of Technology (645)
-
- Old Dominion University (568)
- Utah State University (427)
- Missouri University of Science and Technology (387)
- University of Texas Rio Grande Valley (374)
- Kennesaw State University (329)
- Montana Tech Library (325)
- Sultan Qaboos University (306)
- University of South Carolina (304)
- University of Nebraska - Lincoln (297)
- University of Arkansas, Fayetteville (268)
- China Coal Technology and Engineering Group (CCTEG) (264)
- City University of New York (CUNY) (254)
- TÜBİTAK (252)
- China Simulation Federation (248)
- Liberty University (248)
- University of Mississippi (248)
- Portland State University (237)
- Western Michigan University (237)
- Universitas Negeri Malang (233)
- University of Montana (232)
- University of Plymouth (230)
- Nova Southeastern University (226)
- Edith Cowan University (221)
- The Texas Medical Center Library (216)
- Clemson University (208)
- Keyword
-
- Machine learning (394)
- Mathematics (381)
- Artificial intelligence (321)
- Machine Learning (264)
- Undergraduate (256)
-
- Deep learning (227)
- Humans (219)
- Artificial Intelligence (194)
- MATH (192)
- Education (178)
- Computer Science (169)
- AI (152)
- Deep Learning (118)
- Cybersecurity (116)
- Sustainability (113)
- Civil Engineering (112)
- CE (111)
- Female (110)
- Higher education (106)
- Generative AI (103)
- Male (103)
- Climate change (101)
- 300-level (96)
- Optimization (88)
- Large language models (85)
- 400-level (82)
- Professional development (79)
- STEM (77)
- 200-level (76)
- 600-level (75)
- Publication
-
- IGC Proceedings (1977-2023) (1453)
- Theses and Dissertations (928)
- Neutrosophic Sets and Systems (787)
- Research Collection School Of Computing and Information Systems (582)
- Silver Bow Creek/Butte Area Superfund Site (321)
-
- Electronic Theses and Dissertations (268)
- Coal Geology & Exploration (264)
- Journal of System Simulation (248)
- Faculty Publications (232)
- Theses (203)
- Doctoral Dissertations and Projects (196)
- Mathematical Sciences Syllabi (192)
- The Shorthorn Newspaper Collection: 1970s (191)
- Dissertations (186)
- Research outputs 2022 to 2026 (186)
- C-Day Computing Showcase (183)
- Geolographs (174)
- Master's Theses (170)
- Sultan Qaboos University Journal For Science (167)
- Walden Dissertations and Doctoral Studies (159)
- Civil and Environmental Engineering Syllabi (142)
- Faculty, Staff and Student Publications (138)
- All Dissertations (132)
- University of Montana Course Syllabi, 2021-2025 (130)
- All Approved Curriculum (127)
- Journal of China & Foreign Highway (127)
- Undergraduate Student Symposium (126)
- Baghdad Science Journal (125)
- Honors Theses (125)
- Michigan Tech Publications (123)
- Publication Type
Articles 631 - 660 of 25519
Full-Text Articles in Entire DC Network
Complex Numbers And Phone Signals, Ava Barrett, Rebecca Brazeal, Javier Gutierrez
Complex Numbers And Phone Signals, Ava Barrett, Rebecca Brazeal, Javier Gutierrez
Student Scholar Symposium
Though widely used, complex numbers are often introduced in coursework without real-world context. Our team examines their application in electromagnetic waves and communication systems, focusing on how they help model and analyze phone signals. By connecting concepts from physics and math, we demonstrate their role in signal modulation and transmission. Through this project, we aim to highlight the practical importance of complex numbers in modern technology and provide a clearer understanding of their use in communication systems that power everyday devices like smartphones.
Visualizing And Evaluating Binary Classifier Performance With Contingency Space, Colin D. Kehoe, Azim Ahmadzadeh
Visualizing And Evaluating Binary Classifier Performance With Contingency Space, Colin D. Kehoe, Azim Ahmadzadeh
Undergraduate Research Symposium
Traditional metrics for evaluating binary classifiers, such as Accuracy, F1 Score, and True Skill Statistic (TSS), often obscure the underlying tradeoffs between true positive and true negative performance—particularly in imbalanced or high-stakes domains. This poster introduces the Contingency Space, a two-dimensional representation of classifier behavior defined by true positive rate (TPR) and true negative rate (TNR). Within this space, scalar performance metrics become geometric surfaces, revealing how scores vary across the entire landscape of possible classifier outputs.
We present a Python package that implements this framework, enabling users to map model predictions into the Contingency Space, visualize metric surfaces …
A Study On The Great Comet Of 2024: C/2023 A3 (Tsuchinshan–Atlas) Via Radio Interferometry, Jesse Bier, Nathan X. Roth
A Study On The Great Comet Of 2024: C/2023 A3 (Tsuchinshan–Atlas) Via Radio Interferometry, Jesse Bier, Nathan X. Roth
Undergraduate Research Symposium
Our solar system is approximately 4.5 billion years old. Comets are remnants of its formation, serving as time capsules to give us an understanding of its natal heritage. Revealing our own solar system’s history allows us to gain insights into other young stellar systems and the potential for life elsewhere. C/2023 A3 (Tsuchinshan–ATLAS) was a comet from the Oort cloud on its first and possibly only journey to the inner solar system. The comet grew in brightness until it was brighter than Venus on October 9th, 2024, making it temporarily brighter than Venus and one of the brightest …
Pixel-Perfect Segmentation Of Solar Filaments, Jamie Harris
Pixel-Perfect Segmentation Of Solar Filaments, Jamie Harris
Undergraduate Research Symposium
The observation and classification of solar filaments has a drastic impact on the ability to predict solar-magnetic weather phenomena that threatens to put both satellite infrastructure and astronauts at risk. Using the Hɑ filter provided by the Global Oscillations Network Group (GONG), a network of six telescopes around the world dedicated to 24/7 surveillance of the sun, we are able to get images that clearly and prominently display filament activity. With the vast amount of images the GONG takes, it is not possible to manually analyze every image. Using the U-Net model for computer vision, we were able to train …
Face Value: A Computational Approach To Subjective Impressions Of Faces, Kevin Kpankou
Face Value: A Computational Approach To Subjective Impressions Of Faces, Kevin Kpankou
Undergraduate Research Symposium
Various computational models of first impressions have been developed to uncover the mechanisms driving these judgments. However, the implicit notion of a singular ``human'' often overlooks meaningful individual differences in beliefs, attitudes, and associations, as well as culturally grounded group-level constructs. In this paper, we extend Cultural Consensus Theory (CCT) to estimate culturally shared beliefs about faces by incorporating latent constructs structured around interpretable facial features extracted via computer vision algorithms. We apply our model to a large-scale dataset of people’s first impressions of faces. Our approach reveals a robust mapping between facial features and culturally constructed impressions, allowing us …
Photoflow Synthesis And Characterization Of Cis- And Trans-N-Isohumulone, Gregory M. Giovine, Bradley Gallow, Trevor Smith, Bruce Hamper
Photoflow Synthesis And Characterization Of Cis- And Trans-N-Isohumulone, Gregory M. Giovine, Bradley Gallow, Trevor Smith, Bruce Hamper
Undergraduate Research Symposium
Previously published efforts by the Hamper group demonstrated the viability of photochemistry in the isomerization of n-humulone to n-isohumulone. Photochemical isomerization reactions of n-humulone performed under 400nm light over 8 hours resulted in high yields (84% reported) of largely trans-n-isohumulone (>95%). These promising results invited further examination of the photochemical process and the application of photoflow procedure. Herein we report the beginnings of a comprehensive slate of n-humulone isomerization reactions performed under iterative photoflow conditions.
Nature Naturing In And As Place, Edward S. Casey
Nature Naturing In And As Place, Edward S. Casey
Duquesne Studies in Phenomenology
In this brief article, I single out two distinctly different kinds of natural place, attempting to show how these not merely contrast with each other but display larger patterns or tendencies that are also found in many other sorts of place. This is to take one integral step to a larger ecology of places provided by the natural world and from which human and nonhuman beings draw life and motion that sustain and support many ways of existing on earth. Without such places, we—and every other form of life—would perish or would not even exist to begin with. It is …
Byzantine Theories Of Scale And Arab-Byzantine Chant Practices: A Comparative Analysis Proposing A New Resolution To The Theoretical System Of Chrysanthos Of Madytos, Rosy Azar
Yale Journal of Music & Religion
In 2015, Amine Beyhom published a book on Byzantine chant, in which he summarised all the existing theories, paying particular attention to the problematic reform of the Byzantine chant theory in 1881, and guiding the reader through the steps that led to that reform. Driven by the first ever comparison between Byzantine and Arabic modes that he had found in Mīkhāʾīl Mashāqa’s epistle, Beyhom first studied Chrysanthos of Madytos’ insight. He documented this research in detail and followed it with a practical comparison to demonstrate if theory is indeed applied or it acts only as prescriptive guide. He recorded and …
Two Years Of Iqts: Its Current State, And Implications For English Itt By Distance Learning, Oliver C S Au Yeung
Two Years Of Iqts: Its Current State, And Implications For English Itt By Distance Learning, Oliver C S Au Yeung
Plymouth Interdisciplinary Education Open Journal
International qualified teacher status (iQTS), a new programme which enables candidates to qualify while teaching overseas, marks one of the latest major developments in England’s teacher training system. This study endeavours to survey its current state and make an assessment of the nature of its training. The literature review situates the programme in the historical trajectory of English initial teacher training (ITT) and, in turn, the higher education and socio-economic contexts. As an analytic framework, Furlong’s fourfold categorisation of teachers’ knowledge is used to represent competing approaches to teacher training. It is argued that the liberal approach, emphasising a broad, …
System And Method For Automatically Selecting Context-Aware Llms Using A Reward-Based Multi-Objective Learning Mechanism, Sumit Kumar, Shivam Mohan, Ravi Shanker Kumar Sinha, Dheeraj Dhamija, Soumendra Kumar Mishra
System And Method For Automatically Selecting Context-Aware Llms Using A Reward-Based Multi-Objective Learning Mechanism, Sumit Kumar, Shivam Mohan, Ravi Shanker Kumar Sinha, Dheeraj Dhamija, Soumendra Kumar Mishra
Defensive Publications Series
The present disclosure provides a method and a system for automatically selecting context-aware large language models (LLMs) using a reward-based multi-objective learning mechanism. The method includes receiving an input task and extracting a corresponding context vector comprising one or more contextual attributes. The method includes computing, for each of a plurality of LLMs, a confidence-adjusted expected performance score using the context vector, the score being generated using a contextual learning algorithm. The method includes selecting at least one of the plurality of LLMs having the highest confidence-adjusted expected reward for the input task. The method includes executing the selected LLMs …
Connecting Business Innovation & Climate Impact, San Diego Regional Climate Collaborative, Alexander Pourfard, Aranza Ruvalcaba, Fowzia Farah
Connecting Business Innovation & Climate Impact, San Diego Regional Climate Collaborative, Alexander Pourfard, Aranza Ruvalcaba, Fowzia Farah
San Diego Regional Climate Collaborative
The La Mesa Green Business Network (GBN) is a City-led initiative developed in partnership with the San Diego Regional Green Business Network to advance local climate goals by engaging the business community in practical, measurable sustainability actions. Launched in 2022 as part of La Mesa’s Climate Action Plan, the GBN addresses common barriers faced by small and medium-sized businesses such as limited capacity, resources, and technical expertise by providing free, industry-specific consulting, certification, and public recognition. Through tailored guidance on energy efficiency, water conservation, waste reduction, and transportation practices, the program translates citywide climate objectives into on-the-ground action while delivering …
Advanced Soliton Structures And Elliptic Wave Patterns In A Sixth-Order Nonlinear Schrödinger Equation Using Improved Modified Extended Tanh Function Method, Mina Fahim, Hamdy Mohamed Ahmed, Islam Samir, Kamal Dib
Advanced Soliton Structures And Elliptic Wave Patterns In A Sixth-Order Nonlinear Schrödinger Equation Using Improved Modified Extended Tanh Function Method, Mina Fahim, Hamdy Mohamed Ahmed, Islam Samir, Kamal Dib
Basic Science Engineering
In this work, a sixth–order extension of the nonlinear Schrödinger equation (NLSE) within its integrable hierarchy is investigated to model higher–order nonlinear and dispersive effects relevant to optical fiber systems and nonlinear wave propagation. By employing the Improved Modified Extended Tanh Function Method, a comprehensive family of exact analytical solutions is derived, encompassing bright and dark solitons, singular soliton structures, and singular periodic solutions. In addition, solution families expressed in terms of Jacobi elliptic functions, Weierstrass doubly periodic elliptic functions, and exponential profiles are obtained. The novelty of this study lies in extending the analytical framework of the NLSE hierarchy …
Examining The Role Of Early Bilingualism On Interference Suppression And Prefrontal Connectivity, Matthew L. Cook, Lisa K. Boyce, Allison S. Hancock, Mackenzy S. Turner, Spencer D. Bradshaw
Examining The Role Of Early Bilingualism On Interference Suppression And Prefrontal Connectivity, Matthew L. Cook, Lisa K. Boyce, Allison S. Hancock, Mackenzy S. Turner, Spencer D. Bradshaw
Human Development and Family Studies Student Research
Inhibitory control is a core cognitive function that is primarily associated with activation in the prefrontal cortex (PFC) and is the cognitive function that inhibits impulses, thoughts, and suppresses irrelevant information to an identified goal or task. Prior research suggests that bilingualism may affect brain activity related to inhibitory control, yet few studies have compared functional activity between monolingual and bilingual children. The current study used functional near-infrared spectroscopy (fNIRS) to examine region of interest comparisons and task-state functional connectivity across the PFC during an interference suppression Simon task with 13 bilingual (East Asian or Ibero-romance paired with English) and …
That’S Not Art! Artificial Intelligence And Its Role In The Arts, Molly Katherine Horn
That’S Not Art! Artificial Intelligence And Its Role In The Arts, Molly Katherine Horn
Honors Program Theses and Projects
Artificial intelligence (AI) has been deeply integrated into our modern lives; from social media algorithms, to email summaries, to software that will write your essays, and even tools to photoshop relatives out of family photos. AI software is trained on countless data points. Famous artwork, philosophical texts, TikTok trends, movies, wars, and star-crossed stories. It is steadily becoming a collection of human history; learning and growing alongside us. Art, too, is a reflection of society; it informs us of our history, our cultures, our desires and dreams. Thus, it is only fitting that AI has become a tool to create …
Gauss’S Method For Orbital Determination, Milagros Tamara Giraldo
Gauss’S Method For Orbital Determination, Milagros Tamara Giraldo
Honors Program Theses and Projects
Accurately predicting the orbital trajectory of celestial objects is essential for precise spacecraft navigation, planning planetary missions, avoiding potential collisions with space debris, and studying the long-term stability of planetary systems. Gauss’s method for orbital determination provides a way to predict the path of a celestial body accurately using only a small number of observations. In this project, we create an implementation that is not just a tool for executing Gauss’s method, but also an opportunity to study the formulation of the method itself. It allows for a practical and detailed examination of how different inputs, assumptions, and numerical choices …
Enhancing Silicon Sampling In Large Language Models: Fine-Tuning Techniques Using Survey Data, Davis P. Forster
Enhancing Silicon Sampling In Large Language Models: Fine-Tuning Techniques Using Survey Data, Davis P. Forster
Theses and Dissertations
Large language models (LLMs) are increasingly used to simulate responses of human demographic groups, a task known as silicon sampling. This paper investigates whether supervised fine-tuning can improve algorithmic fidelity in such settings. We construct a dataset from the General Social Survey (GSS), converting demographic attributes into natural-language backstories and randomly selecting one attribute as a held-out target. Fine-tuning a LLaMA-3.1-70B model on this dataset yields significant improvements on two tasks: (1) imputing missing attributes at the individual level, and (2) reproducing response distributions for demographic slices, such as racial and age groups. Notably, these improvements are achieved with minimal …
Cyber-Physical Framework For Smart Paint Manufacturing: Hybrid Integration Of Plc And Recipe Management Simulation, Stephen A. Michael, Anas M. Atieh, Emmanuel Nkwocha, Nathir A. Rawashdeh
Cyber-Physical Framework For Smart Paint Manufacturing: Hybrid Integration Of Plc And Recipe Management Simulation, Stephen A. Michael, Anas M. Atieh, Emmanuel Nkwocha, Nathir A. Rawashdeh
Michigan Tech Publications
This study investigates the implementation of Industry 4.0 paradigms in the context of smart paint manufacturing, focusing on process control and recipe management through the integration of Ignition SCADA, a Siemens programmable logic controller (PLC), and a MySQL Workbench database. The developed architecture employs Ignition as an interoperable communication interface that facilitates bidirectional data exchange between the PLC and the database, thereby establishing a cyber-physical system for automated monitoring and control. The digital recipe management module formalizes paint formulations into parameterized datasets specifying paint and solvent ingredient ratios, process variables, and operational constraints, which are executed autonomously by the control …
Discourse, Power, And Pedagogy In Ai And Human-Designed Efl Lesson Plans: A Clil And Systemic Functional Linguistic Perspective, Christian D. Libunao, Vincent A. Morales
Discourse, Power, And Pedagogy In Ai And Human-Designed Efl Lesson Plans: A Clil And Systemic Functional Linguistic Perspective, Christian D. Libunao, Vincent A. Morales
Journal of English and Applied Linguistics
The integration of generative artificial intelligence (GAI) into English language teaching (ELT) raises important questions about how AI-generated lesson plans shape pedagogy, interaction, and ideology compared to human-designed materials. This study examines how ChatGPT-generated lesson plans converge with or diverge from those published by the British Council, with particular attention to teacher and learner roles, classroom power dynamics, and pedagogical scaffolding. A triadic framework combining systemic functional linguistics (SFL), critical discourse analysis (CDA), and content and language integrated learning (CLIL) was applied to three British Council lesson plans and three thematically matched ChatGPT outputs. Findings reveal that both sets of …
Ecolinguistic Analysis Of Princess Mononoke: Boosting Environmental Literacy, Aditya Alam Soeta Bangsa, George M. Jacobs, Ingrid A. Gavilán Tatin
Ecolinguistic Analysis Of Princess Mononoke: Boosting Environmental Literacy, Aditya Alam Soeta Bangsa, George M. Jacobs, Ingrid A. Gavilán Tatin
Journal of English and Applied Linguistics
The Anthropocene is a term some scientists use for the current geological age, during which human activities profoundly and often negatively impact Earth’s systems, including environmental change. Despite widespread recognition of this global crisis, a gap persists between awareness and meaningful action, underscoring a critical deficit in environmental literacy. This study aims to address this gap by conducting an ecolinguistic analysis of Hayao Miyazaki’s (1997) film, Princess Mononoke. Stibbe’s (2020) Stories We Live By, particularly the story of ideology, was used to analyze the film and its five principal human characters, examining their attitudes and behavior, and connecting …
Beliefs And Practices Of Filipino Bilingual Senior High School Students On Language Learner Autonomy, Japhet E. Manzano, Zachi Einna R. Orquijo, Giovanni C. Duran
Beliefs And Practices Of Filipino Bilingual Senior High School Students On Language Learner Autonomy, Japhet E. Manzano, Zachi Einna R. Orquijo, Giovanni C. Duran
Journal of English and Applied Linguistics
The concept of learner autonomy (LA) has been investigated mostly from the perspective of language teachers, whereas students’ views regarding this notion have received less attention in recent decades. In line with this, the present study aimed to examine the beliefs and practices of Filipino bilingual senior high school students enrolled in the Humanities and Social Sciences (HumSS) and Science, Technology, Engineering, and Mathematics (STEM) strands. A total of 148 students from two Philippine public schools in Metro Manila participated in an adapted survey questionnaire containing Likert-scale items on beliefs, desirability, and feasibility of LA, along with an open-ended question …
Faith’S Midwest Modern Forms: Midcentury Catholic Churches In St. Louis By Murphy And Mackey, Architects, Mary Reid Brunstrom
Faith’S Midwest Modern Forms: Midcentury Catholic Churches In St. Louis By Murphy And Mackey, Architects, Mary Reid Brunstrom
Arts & Sciences Graduate Student Theses and Dissertations
This project originated in my research on three modernist churches commissioned by the Catholic Archdiocese of St. Louis from 1948-54 which was then under the progressive leadership of Archbishop (later Cardinal) Joseph E. Ritter. What factors accounted for these unprecedented forms for sacred architecture? The architectural partnership of Murphy and Mackey designed the churches in accordance with the new liturgical reform protocols that were embedded in the designs of the German architect, Rudolf Schwarz and his colleagues and disseminated through Catholic pastors of German origin in the St. Louis parishes. Other strands of modernism were also implicated in Murphy and …
Acer 2024-2025 Annual Report, Australian Council For Educational Research (Acer)
Acer 2024-2025 Annual Report, Australian Council For Educational Research (Acer)
ACER Annual Reports
For more than 95 years, ACER has been driven by a single purpose – to improve learning for all. Founded in 1930, ACER began as a small team of researchers determined to bring rigour and evidence to education and assessment. Over the decades, that commitment has evolved into a global mission – combining world-class assessment and research to help learners, educators and systems understand what works in education, and why.
Drones And The Changing Character Of War, Erik A. Davis
Drones And The Changing Character Of War, Erik A. Davis
The US Army War College Quarterly: Parameters
Cheap drones have transformed the character of war by creating a “mass effect” that challenges traditional principles of force concentration. Unlike commentary focused on offense-defense debates or ethics, this article explains how Jevons’s Paradox, the Red Queen Effect, and models like Lanchester’s Laws and Hughes’s Salvo Equations underpin this shift. Drawing on lessons from Ukraine, historical theory, and production trends, it explains why the production of cheap “precision mass” is expected to accelerate. For military and policy practitioners, the analysis offers urgent guidance for adapting tactics, procurement, and doctrine to a battlefield dominated by ubiquitous, low-cost drones—before adversaries exploit this …
Towards Science-Based Quantitative Conservation Management Plan Add-Ons For All Alaskan Squirrel Species: Current And Future Distributions, Conservation Management, Contaminant Exposure, And Their Role In Alaska Native Communities, Moriz Steiner
Biological Sciences
Squirrels are widespread in Alaska, yet a science-based conservation management plan (CMP) is absent at the state level. Squirrels are killed year-round with no bag limits, while population metrics remain unknown and conservation statuses disputed. This thesis proposes modern tools and approaches as addons for long-term, sustainable, holistic CMPs for all Alaskan squirrel species in a changing climate. Chapter 1 provides an overview of squirrels' current roles and uses in Alaska alongside existing management practices and regulations. Chapters 2 and 3 conduct thorough conservation assessments by analyzing and predicting current and future distributions of squirrel species across Alaska and a …
Microbial Communities Of Selected Regions Of The Deep Springs Lake Aquifer System, Rania Zaki, Emma Bourne, Andrew Storino, Jay Nadeau
Microbial Communities Of Selected Regions Of The Deep Springs Lake Aquifer System, Rania Zaki, Emma Bourne, Andrew Storino, Jay Nadeau
Physics Faculty Publications and Presentations
Deep Springs Lake is a small, isolated, highly alkaline soda lake in Inyo County of Eastern California, USA. It is a seasonally filled salt lake or playa, and is part of a closed aquifer system. Such closed systems are globally rare, occurring only in arid zones where annual evaporation is greater than annual rainfall. Deep Springs Lake’s hydrology and geology have been well studied, and it is home to a unique toad species, but its microbiome remains unexplored. Here we perform 16S, 18S, and ITS amplicon sequencing of the lake water, dried salt crust at the edges the lake, and …
Design, Synthesis And Biological Activities Of N-Substituted Phthalimide Derivative, Beaula Mangundah
Design, Synthesis And Biological Activities Of N-Substituted Phthalimide Derivative, Beaula Mangundah
Honors Theses
Phthalimides are a group of compounds among bicyclic non-aromatic nitrogen heterocycles that have gained recognition for their bioactivity across various fields, notably anti-cancer, anti-microbial, anti-oxidant, and anti-inflammatory. This study discusses the synthesis of a novel phthalimide derivative and provides an analysis of its biological activity. It was conducted through a Boric acid Imide synthesis and yielded a successful derivative using hexylamine. The product was evaluated in vitro for antimicrobial, anticoagulant, and anti-inflammatory properties using Kirby-Bauer disk diffusion, clotting time, hemolysis inhibition, and protein denaturation assays. It showed mild anticoagulant and anti-inflammatory activity.
The Relationship Between K-12 Public School Funding, Per Pupil Expenditures, And Student Achievement, Regina R. Frazier-Bagley
The Relationship Between K-12 Public School Funding, Per Pupil Expenditures, And Student Achievement, Regina R. Frazier-Bagley
Walden Dissertations and Doctoral Studies
Public school district leaders are challenged with funding K-12 education that creates the desired student academic performance. Grounded in student-based budgeting theory, this quantitative ex post facto study aimed to investigate the relationship between K–12 public school funding, per-pupil expenditures, student achievement, and graduation rates in Georgia. The study included secondary data from 51 North Georgia public school districts for the 2018–2019 school year. Multiple regression analysis was completed to examine the relationship between the independent variables—state funding, per-pupil expenditures, and academic achievement in math, science, and language arts—and the dependent variable: graduation rates. The results of the analysis were …
China’S Securitization Of Agricultural Imports: A Case Of Economic Statecraft Mixed Successes, Gustavo Ferreira, Bert Cramer
China’S Securitization Of Agricultural Imports: A Case Of Economic Statecraft Mixed Successes, Gustavo Ferreira, Bert Cramer
The US Army War College Quarterly: Parameters
This article argues that the People’s Republic of China’s agricultural import diversification from 1995–2023 reflects a strategic effort to reduce reliance on US and allied suppliers while prioritizing national food security. Unlike prior studies focused on production or consumption, this analysis centers on trade patterns of high-value, strategically critical commodities. Using trade data and policy documents, it assesses shifts in supplier dependency, notably toward Brazil. This research offers policy and military practitioners insights into how food security intersects with economic statecraft, revealing vulnerabilities and strategic choices in global supply chains relevant to deterrence and resilience planning.
Degrees Of Rate Control And Autodiff-Driven Direct Sensitivity Analysis In Heterogeneous Catalysis, Olajide H. Bamidele, Sina Behtash, Mubarak Bello, Andreas Heyden
Degrees Of Rate Control And Autodiff-Driven Direct Sensitivity Analysis In Heterogeneous Catalysis, Olajide H. Bamidele, Sina Behtash, Mubarak Bello, Andreas Heyden
Faculty Publications
Despite the wide application and benefits of the degree of rate control (DRC) analysis, several details remain argued, particularly about the conservation of DRCs at transient (TR) and steady-state (SS) conditions, especially for complex reaction networks. This work argues that previous proofs about the conservation properties of DRCs have been incomplete, and we provide new mathematical proofs at TR and SS conditions. In addition, we use both analytical (automatic differentiation) and numerical (finite difference) approaches to compute DRCs for the case study of ethane hydrogenolysis (EH) over Pt(111). This work confirms that at both TR and SS conditions, the sum …
Targeting Pancreatic Cancer With Rapamycin-Loaded Gold Nanoparticles Conjugated To Egf Peptide: Studies On Cytotoxicity And Uptake Mechanisms Aided By Proteomic Analysis, Adeolu Oluremi
Theses and Dissertations
Pancreatic cancer remains one of the most lethal malignancies, with a five-year survival rate below 5%. While rapamycin (Rap) has demonstrated therapeutic potential, its clinical utility is hampered by systemic toxicity. To address this limitation, this study developed a targeted nanocarrier system using gold nanospheres (AuNPs) functionalized with the Epidermal Growth Factor Receptor (EGFR) peptide GE11 for the specific delivery of Rap to pancreatic cancer cells. It is to note that pancreatic cancer overexpresses EGFR. The AuNP–GE11–Rap conjugates were successfully synthesized and characterized using physico-chemical techniques, which confirmed peptide conjugation and drug loading. In vitro studies using PANC-1 cells demonstrated …