Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Social and Behavioral Sciences (662272)
- Arts and Humanities (577773)
- Law (546029)
- Education (386657)
- Medicine and Health Sciences (328718)
-
- Physical Sciences and Mathematics (294391)
- Life Sciences (255946)
- Engineering (198033)
- History (183569)
- Business (150681)
- Higher Education (145547)
- Anthropology (116068)
- Religion (109883)
- Archaeological Anthropology (96480)
- Communication (89499)
- Sociology (87281)
- Library and Information Science (80656)
- Medical Specialties (78964)
- United States History (78888)
- Psychology (73992)
- Computer Sciences (63648)
- Public Affairs, Public Policy and Public Administration (63222)
- Earth Sciences (59523)
- Creative Writing (58194)
- Public Health (54805)
- Environmental Sciences (52712)
- Economics (47584)
- English Language and Literature (47213)
- Educational Administration and Supervision (46608)
- Medical Sciences (46178)
- Institution
-
- University of South Florida (163400)
- University of New Mexico (139754)
- University of Nebraska - Lincoln (114066)
- Kenyon College (112903)
- University of Montana (98561)
-
- University of Mississippi (95206)
- University of New Hampshire (79842)
- Brigham Young University (72324)
- Georgia Southern University (61753)
- Eastern Illinois University (58587)
- Utah State University (57341)
- Mississippi State University (54723)
- Western Michigan University (53094)
- University of Kentucky (52555)
- Murray State University (50654)
- Purdue University (50136)
- University of Colorado Law School (47508)
- Louisiana State University (45265)
- Brigham Young University Law School (44084)
- Western Kentucky University (43096)
- Villanova University Charles Widger School of Law (42895)
- California Polytechnic State University, San Luis Obispo (42580)
- University of Central Florida (42553)
- University of Dayton (41462)
- University of Alabama at Birmingham (38142)
- Chulalongkorn University (37846)
- San Jose State University (37202)
- University of Northern Iowa (36032)
- Yale University (33913)
- Missouri University of Science and Technology (33681)
- Keyword
-
- Newspaper (47942)
- Latin America (31541)
- Press release; media release; press statement; news media information (30839)
- Spanish (30835)
- Humans (30139)
-
- History (30063)
- University of New Mexico (29737)
- UNM (29639)
- LADB (29608)
- LAII (29608)
- Latin American and Iberian Institute (29608)
- Education (29109)
- United States (21554)
- Student newspaper (20393)
- Newsletter (19720)
- EIU (19635)
- Georgia Southern University (18971)
- Newspapers (18270)
- Deaf culture (17102)
- Hearing impaired (17092)
- Pastoral care of people with disabilities (17060)
- Church work with the deaf -- Catholic Church (17052)
- Deaf -- Periodicals (17043)
- Athletics (16879)
- Marriage (16192)
- Poetry (15557)
- Students (15211)
- Correspondence (14708)
- Higher education (14686)
- Female (14651)
- Publication Year
-
- 2026 (119073)
- 2025 (159113)
- 2024 (194824)
- 2023 (164198)
- 2022 (169304)
-
- 2021 (196985)
- 2020 (170256)
- 2019 (166258)
- 2018 (170950)
- 2017 (161854)
- 2016 (160258)
- 2015 (146976)
- 2014 (136954)
- 2013 (131289)
- 2012 (125474)
- 2011 (108928)
- 2010 (104322)
- 2009 (96257)
- 2008 (93220)
- 2007 (79637)
- 2006 (75044)
- 2005 (70605)
- 2004 (71916)
- 2003 (59141)
- 2002 (64831)
- 2001 (55304)
- 2000 (58935)
- 1996 (62756)
- 1992 (53282)
- 1990 (53870)
- Publication
-
- Four Valleys Archive (90475)
- Theses and Dissertations (74556)
- Faculty Publications (46024)
- Electronic Theses and Dissertations (35669)
- University of Montana News Releases, 1928, 1956-present (30912)
-
- Faculty Scholarship (25565)
- Dissertations (23821)
- The Auk (22791)
- Documents (21966)
- Theses (21782)
- Browse All News (21496)
- Articles (19790)
- Walden Dissertations and Doctoral Studies (19777)
- Masters Theses (18671)
- Master's Theses (18449)
- Chulalongkorn University Theses and Dissertations (Chula ETD) (15281)
- Session Laws 1951-2000 (15051)
- NotiSur (13785)
- Faculty, Staff and Student Publications (13701)
- Hillsborough County Marriage Records (13681)
- University of Mississippi News (13497)
- Obituaries (13320)
- The Murray Ledger & Times (13003)
- Sheet Music Collection (12976)
- Defensive Publications Series (12903)
- Michigan Law Review (12811)
- University of Montana Course Syllabi (12469)
- Honors Theses (12170)
- Graduate Theses, Dissertations, and Problem Reports (ETD) (11969)
- Condor (11821)
- Publication Type
Articles 341971 - 342000 of 5211109
Full-Text Articles in Entire DC Network
Emily, Tom Brown
Thurisaz, Carla Delane Wood
[Untitled], Jinny Pearce
Zach, Jenny Duvall
A Madness Of Two Minds, Carol Case
[Untitled], Karen Graffeo
The Barnacle, Emily Grimes
Principles Of Flight, Jennifer Horne
Biological Clock, Robert Mcduff
Astarte 2 (Front Matter), Astarte Staff
Power Play, Arlene Hampton
Astarte 2 (Complete Issue), Astarte Staff
Astarte 2 (Complete Issue), Astarte Staff
Astarte (literary magazine)
No abstract provided.
Data Analysis On Predicting The Top 12 Fantasy Football Players By Position, Alan Abadzic, Jacquelyn Cheun, Milan Patel
Data Analysis On Predicting The Top 12 Fantasy Football Players By Position, Alan Abadzic, Jacquelyn Cheun, Milan Patel
SMU Data Science Review
Fantasy football enthusiasts rely on rankings populated by their platform of choice to draft winning teams and make strategic roster decisions. This study presents a comprehensive analysis of player performance data to forecast the top 12 fantasy points performers per position for the upcoming season. Leveraging machine learning techniques and historical data, our model identifies key performance indicators and trends to inform player evaluations. Insights gleaned from positional trends, breakout candidates, risk assessment, and matchup analysis offer a competitive edge. By addressing limitations, ethical considerations, and avenues for future research, this study contributes to the advancement of fantasy sports analysis …
An Analysis Of Drivers Of The Federal Funds Rate, Stephen Johnson, Neha Dixit, Martin Selzer Ph.D.
An Analysis Of Drivers Of The Federal Funds Rate, Stephen Johnson, Neha Dixit, Martin Selzer Ph.D.
SMU Data Science Review
The Federal Funds Rate (FFR) is a tool used by the Federal Reserve to set monetary policy on borrowing costs for consumers and businesses. The Fed’s primary motivation with the FFR is to control macroeconomic factors such as inflation and unemployment. Over time, policy stances for the Fed have varied in response to events such as the Great Recession, and more recently the COVID-19 pandemic. In light of the Fed’s actions following these events, there is intensified debate over which macroeconomic factors should be prioritized, and what magnitude of change is sufficient to warrant action. Additionally, when action is taken …
Enhancing Imputation Accuracy: A Multi-Faceted Approach For Missing Data In Chicago Arrest Records, Steve Bramhall, Jae Chung, Nicholas Mueller
Enhancing Imputation Accuracy: A Multi-Faceted Approach For Missing Data In Chicago Arrest Records, Steve Bramhall, Jae Chung, Nicholas Mueller
SMU Data Science Review
This paper introduces a novel approach to enhance the imputation process for missing data, utilizing crime records from Chicago with arrests as the target feature. Robust imputation techniques are crucial in the era of burgeoning datasets for generating reliable insights. Our core objective is to present an innovative method that improves imputation techniques, augmenting model performance and bolstering the reliability of analytical outcomes. Leveraging numeric crime data, we establish a Gradient Boosting (GBM) baseline model, then introduce ensemble methods including Random Forest and Decision Trees for further refinement. By systematically exploring multiple imputation processes, we establish a baseline for comparative …
Applying Transfer Learning And Existing Eeg Datasets To Identify Patients With Als, Nibhrat Lohia, Chris Mathew, Garrett Shankel
Applying Transfer Learning And Existing Eeg Datasets To Identify Patients With Als, Nibhrat Lohia, Chris Mathew, Garrett Shankel
SMU Data Science Review
Convolutional neural networks (CNNs) have helped medical practitioners re-design the diagnosis of electroencephalogram (EEG) recordings, resulting in a level of accuracy and efficiency that matches or exceeds experts in the field. This study aims to explore the application of VGG19, an algorithm based on CNN architecture, to diagnose small subsets of neurodegenerative diseases, specifically amyotrophic lateral sclerosis (ALS), a disease that reduces the nervous system’s ability to control the muscles of the body. Since EEG recordings are scarce for ALS, this study will use a larger collection of EEG recordings taken on patients with more common neurological diseases, including but …
Geospatial Temporal Crime Prediction Using Convolution And Lstm Neural Networks: Enhancing The Las Vegas Cardiff Model, Corey D. Holmes, Christian Orji, Chris Papesh
Geospatial Temporal Crime Prediction Using Convolution And Lstm Neural Networks: Enhancing The Las Vegas Cardiff Model, Corey D. Holmes, Christian Orji, Chris Papesh
SMU Data Science Review
According to the Department of Justice, more than half of violent crimes go unreported to law enforcement in the United States (Kollar et al., 2018). This data gap reduces the opportunity to implement proven solutions in the areas with the greatest need. In 1996, Dr. Shepherd developed the Cardiff Model with the aim of bringing together hospitals, law enforcement, and community leaders through the sharing of data. We partnered with ongoing efforts to implement the Cardiff Model in Las Vegas, Nevada. Our goal was to provide a geospatial temporal model that can predict the next 30 days of crime. By …
Rethinking Retrieval Augmented Fine-Tuning In An Evolving Llm Landscape, Nicholas Sager, Timothy Cabaza, Matthew Cusack, Ryan Bass, Joaquin Dominguez
Rethinking Retrieval Augmented Fine-Tuning In An Evolving Llm Landscape, Nicholas Sager, Timothy Cabaza, Matthew Cusack, Ryan Bass, Joaquin Dominguez
SMU Data Science Review
This study explores the utilization of Retrieval Augmented Fine-Tuning (RAFT) to enhance the performance of Large Language Models (LLMs) in domain-specific Retrieval Augmented Generation (RAG) tasks. By integrating domain-specific information during the retrieval process, RAG aims to reduce hallucination and improve the accuracy of LLM outputs. We investigate the use of RAFT, an approach that enhances LLMs by incorporating domain-specific knowledge and effectively handling distractor documents. This paper validates previous work, which found that RAFT can considerably improve the performance of Llama2-7B in specific domains. We also expand upon previous work into new state-of-the-art open-source models and other datasets with …
Enhancing Shap With Multi-Core Parallelization And Distributed Computation, Matthew David, William Jones, Hayley Horn
Enhancing Shap With Multi-Core Parallelization And Distributed Computation, Matthew David, William Jones, Hayley Horn
SMU Data Science Review
In recent years, the adoption of complex machine learning algorithms, often perceived as “black box” models, has grown exponentially across various disciplines. However, the lack of understanding regarding how these models come to their predictions often fosters skepticism and mistrust. In response to the demand for transparency and interpretability, Explainable AI techniques, such as SHapley Additive exPlanations (SHAP), have emerged as powerful tools for comprehending and trusting these algorithms. However, SHAP has an exponential computational demand O( x2 ), where x is the number of features. This becomes increasingly problematic with the larger datasets standard in most industries. Many frameworks …
A Note From The Editor, And Some Unconventional Grammar, Steven M. Schnell
A Note From The Editor, And Some Unconventional Grammar, Steven M. Schnell
The Geographical Bulletin
A Note from the Editor, and Some Unconventional Grammar
Cover And Forewords, Steven M. Schnell
Volume 52-1 Complete Issue, Steven M. Schnell
Volume 52-1 Complete Issue, Steven M. Schnell
The Geographical Bulletin
Volume 52-1 Complete Issue
Family And Social Networks Considered In An Examination Of Exurban Migration Motivations, Brian Edward Johnson, Benjamin Schultz
Family And Social Networks Considered In An Examination Of Exurban Migration Motivations, Brian Edward Johnson, Benjamin Schultz
The Geographical Bulletin
Exurbia is growing in population and land use mainly due to internal migration from urban and suburban areas . Existing literature has identified urban decay, housing affordability, and natural amenities as key reasons why Americans move to exurbia . The literature, however, largely overlooks the potential influence of family and social networks . Drawing from previous studies in non-exurban contexts, this paper asks: are family and social networks attracting migrants to exurbia? The authors conducted in-depth, semi-structured interviews with 34 exurbanites in northern Indiana and northwest Illinois, allowing residents to describe their migration decisions without forcing participant responses into predefined …
Assessing The Impact Of Green Roofs On Urban Heat Island Mitigation: A Hardware Scale Modeling Approach, William C. Pompeii Ii, Timothy W. Hawkins
Assessing The Impact Of Green Roofs On Urban Heat Island Mitigation: A Hardware Scale Modeling Approach, William C. Pompeii Ii, Timothy W. Hawkins
The Geographical Bulletin
As urban areas and the number of people living in urban areas grow, it is important to assess different mechanisms for mitigating the resulting urban heat island . Two hardware scale models (16 ft2 footprint), identical except for their roofing material, were constructed and monitored to assess the impact of green roofs on urban temperature and humidity . During the daytime, indoor and outdoor temperatures of the green roof model were 4 .2°C and 0 .3°C cooler respectively than the black roof model . The green roof indoor temperature was 0 .7°C warmer during the nighttime . Humidity differences between …
Framing Iowa’S “Fragile Giants”, Blake L. Mayberry
Framing Iowa’S “Fragile Giants”, Blake L. Mayberry
The Geographical Bulletin
The cultural landscape of Iowa has changed significantly in the last thirty years, coincident with larger changes in the national and global economies . The Loess Hills–a geologic landform consisting of eroded 15,000-yearold deposits of eolian glacial silt spanning seven counties in western Iowa–have become a political and discursive battle ground for postindustrial restructuring . The State of Iowa sought to create a tourism- and recreationbased economy for western Iowa as a response to rural population loss and unemployment . In 1997, the state’s largest newspaper, The Des Moines Register, started an editorial campaign to advocate for a national park …
Reconstructing Canopy Disturbance History And Recruitment Patterns To Inform Management Decisions At The Lost 40 In The Chippewa National Forest, Northern Minnesota, Julia Rauchfuss, Susy Svatek Ziegler
Reconstructing Canopy Disturbance History And Recruitment Patterns To Inform Management Decisions At The Lost 40 In The Chippewa National Forest, Northern Minnesota, Julia Rauchfuss, Susy Svatek Ziegler
The Geographical Bulletin
Old-growth eastern white pine (Pinus strobus) and red pine (Pinus resinosa) dominate the forest canopy but not the understory of the Lost 40 Scientific and Natural Area in northern Minnesota . Our objectives were to (1) analyze stand structure and species composition, (2) examine the tree-ring record to determine the frequency and magnitude of canopy disturbances, (3) characterize recruitment patterns to provide information for a science-based management plan, and (4) compare the canopy-disturbance history of the Lost 40 to the average decadal rate of disturbance in similar forests . Average canopy disturbance from 1880–1999 was 2 .6–8 .2 percent per …
Astarte 1 (End Matter), Astarte Staff
[Untitled], Richard Giles
Cabin Fever, Jinny Pearce
Just Another Redneck White Supremacist, Chris Traina
Just Another Redneck White Supremacist, Chris Traina
Astarte (literary magazine)
p. 23