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Articles 14071 - 14100 of 18328
Full-Text Articles in Entire DC Network
The Importance Of Bridging The Gap Between Stem And Liberal Arts In Higher Education, Berkly Hargon
The Importance Of Bridging The Gap Between Stem And Liberal Arts In Higher Education, Berkly Hargon
Fresh Voices: Composition at Cal Poly
No abstract provided.
Lab-Grown Meat: Greener Than Livestock, Alex Ramirez
Lab-Grown Meat: Greener Than Livestock, Alex Ramirez
Fresh Voices: Composition at Cal Poly
No abstract provided.
The Umbrella, Audrey Mallari
The Umbrella, Audrey Mallari
Fresh Voices: Composition at Cal Poly
No abstract provided.
Escaping Through Words, Khin Han
Escaping Through Words, Khin Han
Fresh Voices: Composition at Cal Poly
No abstract provided.
Ran Walker, Randolph Walker Jr, Ran Walker
Ran Walker, Randolph Walker Jr, Ran Walker
Virginia Poets Database: A Literary and Educational Resource
No abstract provided.
The Power Of A Formative Experiment In An Inclusion Science Education Classroom, K. Lea Alexander, Marla K. Robinson
The Power Of A Formative Experiment In An Inclusion Science Education Classroom, K. Lea Alexander, Marla K. Robinson
Journal of Science Education for Students with Disabilities
Formative experiments offer a novel approach to research educational interventions
in inclusion science classrooms. This research examined whether using a formative experiment design with an intervention called Peer-Assisted Learning Strategies (PALS) increased reading comprehension in grade-level biology text and science self-efficacy of students who had learning disabilities in reading in an inclusion biology classroom. Despite the small n, the results showed that there were statistically significant increases in the comprehension of grade-level biology text and science self-efficacy for the students with learning disabilities who participated in the study.
Technical Disclosure: Zero-Idle Asynchronous Hardware Architecture For Linear-Complexity State Space Models And Metabolic Gating, Samuel John Church
Technical Disclosure: Zero-Idle Asynchronous Hardware Architecture For Linear-Complexity State Space Models And Metabolic Gating, Samuel John Church
Defensive Publications Series
This disclosure describes a semiconductor architecture designed to eliminate dynamic idle
power consumption in Edge AI applications by utilizing clockless, event-driven logic to execute
linear-complexity State Space Models (SSMs). The system replaces the global synchronous
clock with local handshake protocols (Muller C-elements) implementing Pulsed Static CMOS
logic. This hardware substrate is coupled with a "Metabolic Gating" software router that
dynamically switches between low-precision "reflex" networks and high-precision "reasoning"
networks based on real-time energy availability and input "surprise" (prediction error). The
disclosed invention enables "Zero-Idle" operation, where power consumption scales strictly
linearly with input token arrival, achieving near-zero leakage during inter-token …
Tidychangepoint: A Unified Framework For Analyzing Changepoint Detection In Univariate Time Series, Ben Baumer, Biviana Marcela Suárez Sierra
Tidychangepoint: A Unified Framework For Analyzing Changepoint Detection In Univariate Time Series, Ben Baumer, Biviana Marcela Suárez Sierra
Statistical and Data Sciences: Faculty Publications
We present tidychangepoint, a new R package for changepoint detection analysis. Most R packages for segmenting univariate time series focus on providing one or two algorithms for changepoint detection that work with a small set of models and penalized objective functions, and all of them return a custom, nonstandard object type. This makes comparing results across various algorithms, models, and penalized objective functions unnecessarily difficult. tidychangepoint solves this problem by wrapping functions from a variety of existing packages and storing the results in a common S3 class called tidycpt. The package then provides functionality for easily extracting comparable numeric or …
Factors Influencing Academic Recovery In Mathematics In Middle School Students After The Covid-19 Pandemic, Jon A. Debord
Factors Influencing Academic Recovery In Mathematics In Middle School Students After The Covid-19 Pandemic, Jon A. Debord
Student Dissertations
The COVID-19 pandemic caused widespread disruption to K–12 education, with middle school mathematics among the most adversely affected subject areas. While prior research has documented pandemic-related learning loss, less is known about how recovery occurred in districts where mathematics performance rebounded. The purpose of this basic qualitative study was to explore middle school mathematics teachers’ perceptions of factors influencing post-pandemic academic recovery in selected Illinois public school districts that demonstrated high levels of mathematics recovery. Guided by Bronfenbrenner’s Bioecological Theory, this study examined how classroom, school, family, and district contexts shaped students’ recovery experiences. A basic qualitative research design was …
Three Economist’S Tools For Antitrust And Merger Analysis: Case Applications, Russell W. Pittman
Three Economist’S Tools For Antitrust And Merger Analysis: Case Applications, Russell W. Pittman
Yearbook of Antitrust and Regulatory Studies
This paper presents a non-technical introduction to three economic tools that have in recent years become widespread in competition law enforcement in general and in the analysis of proposed mergers in particular: critical loss analysis, upward pricing pressure, and the vertical arithmetic. In addition, for each tool, its use in a recent U.S. merger case is illustrated: for critical loss analysis, the Novelis/Aleris merger; for upward pricing pressure, the GE/Electrolux merger; and for the vertical arithmetic, the Comcast/NBCU joint venture.
Early Detection Of Infectious Diseases: A Review Of Recent Advances In Pathogen Identification, Molecular Tools, And Metabolomics-Driven Biomarker Discovery, Patrica Ivy Agorsor, Michael O. Eze
Early Detection Of Infectious Diseases: A Review Of Recent Advances In Pathogen Identification, Molecular Tools, And Metabolomics-Driven Biomarker Discovery, Patrica Ivy Agorsor, Michael O. Eze
Chemistry Faculty Research & Creative Works
The recent COVID-19 pandemic has heightened public interest in noninvasive methods for early diagnosis of infectious diseases. In addition, various government agencies have implemented "infectious disease preparedness" to mitigate future outbreaks. This review highlights conventional and advanced methods for infectious disease diagnosis with an emphasis on emerging mass spectrometry methods. Conventional methods for pathogen identification, such as culture-based techniques and molecular methods, have limitations with respect to sensitivity, specificity, and turnaround time. Recent advances in high-resolution mass spectrometry have revolutionized the field of infectious disease biomarker discovery. These techniques enable the comprehensive profiling of metabolites in various biological samples, identification …
Large Magnetoresistance And Quantum Oscillations Observed In Superconducting Β-Irsn4, Smita Speer, Yuriy V. Pershin, Joanna Blawat, John Singleton, Rongying Jin
Large Magnetoresistance And Quantum Oscillations Observed In Superconducting Β-Irsn4, Smita Speer, Yuriy V. Pershin, Joanna Blawat, John Singleton, Rongying Jin
Faculty Publications
Diverse quantum phenomena have been observed in TSn4 transition metal (T) stannides, includ ing superconductivity, nontrivial topology, and large magnetoresistance (MR) at low temperat ures. Here, we report the experimental and theoretical investigation of tetragonal β-IrSn4 (space group I41/acd) with the lattice parameters a = 6.362(3) Å and c = 22.723(0) Å. The temperature dependence of the electrical resistivity indicates that β-IrSn4 is a good metal with Fermi-liquid behavior above the superconducting transition at Tc ∼ 0.7 K. Magnetic susceptibility measure ments indicate it is non-magnetic. However, positive transverse MR with …
Electromagnetic Simulations For Vulnerable Road User Safety In 5g/6g Wireless Systems, Colin Mcnerny
Electromagnetic Simulations For Vulnerable Road User Safety In 5g/6g Wireless Systems, Colin Mcnerny
Theses and Dissertations
Protecting vulnerable road users is imperative. As 5G wireless technology matures and 6G standards are established, new operational technology emerges to reduce traffic accidents. There is widespread evidence to support the need for pedestrian awareness in modern traffic ecosystems as a significant number of vulnerable road users are injured or killed every year due to observable traffic failures. Computational electromagnetic (CEM) solvers are used to model, simulate, and analyze the performance of antennas deployed to meet this challenge. Validation studies using the Altair FEKO CEM solver demonstrate scenarios where vulnerable road users are at risk. The simulation data in this …
Volume Cxlv, Number 12, February 6, 2026, Lawrence University
Volume Cxlv, Number 12, February 6, 2026, Lawrence University
The Lawrentian
No abstract provided.
The Normal Gem, November 1891, Vol. Iv, No. 2, Florence State Normal School
The Normal Gem, November 1891, Vol. Iv, No. 2, Florence State Normal School
Documents
Four pages of the November 1891 edition of The Normal Gem newspaper.
The Normal Gem: A Monthly Journal Devoted to the Interest of Education in Alabama existed as one of the University of North Alabama’s earliest student news publications. The publication derives its name from the university’s designation as the Florence State Normal School, the first state-supported teachers' college south of the Ohio River, which existed from 1872 through 1928 until the name was once again changed to Florence State College. The newspapers within the collection feature reflections on student life and education from October of 1889 through November of …
Understanding The 2016–2018 Freshening Dynamics Of The Beaufort Gyre Through Observations And Model Reanalysis, Christina Gregory, Ganesh Gopalakrishnan, Bulusu Subrahmanyam
Understanding The 2016–2018 Freshening Dynamics Of The Beaufort Gyre Through Observations And Model Reanalysis, Christina Gregory, Ganesh Gopalakrishnan, Bulusu Subrahmanyam
Faculty Publications
The Beaufort Gyre (BG) in the Arctic Ocean has experienced rapid changes in losing extensive amounts of sea-ice and undergoing freshening over the past few decades. In this study, we highlight important recent changes in BG’s surface circulation, and its impact on freshwater (FW) fluxes and freshwater content (FWC) and draw attention to the critical importance of continuous monitoring of BG dynamics. Using satellite observations of the upper ocean state and ocean and atmospheric reanalysis, here we attempt to understand the anomalous behavior of BG dynamics over the past few decades. In recent years, atmospheric forcings increasingly influenced important judications …
Defining Clinically Relevant Responses In Erectile Function: An Smsna Position Statement, Mohit Khera, Raymond C Rosen, Petar Bajic, Helen Bernie, Martin Gross, Johanna Hannan, Sevann Helo, Lawrence Jenkins Ii, Carol Podlasek, Daniel Watter, Matthew Ziegelmann, Tobias Köhler
Defining Clinically Relevant Responses In Erectile Function: An Smsna Position Statement, Mohit Khera, Raymond C Rosen, Petar Bajic, Helen Bernie, Martin Gross, Johanna Hannan, Sevann Helo, Lawrence Jenkins Ii, Carol Podlasek, Daniel Watter, Matthew Ziegelmann, Tobias Köhler
Faculty, Staff and Students Publications
Background: To date, no scoring system has adequately defined clinical efficacy of erectile dysfunction (ED) therapies when evaluating differences between cohorts or in meta-analytic studies.
Aim: To outline the minimal criteria required for any therapy to be considered clinically effective in the treatment of ED.
Methods: An analytic review was performed of standardized ED questionnaires, with a particular emphasis placed on the International Index of Erectile Function, Erectile Function Domain (IIEF-EFD), and the minimally clinically important difference (MCID) concept. The data were used to create a societal position statement and recommendations on best practices within clinical trials to determine treatment …
Artificial Intelligence And Additive Manufacturing As A Coupled Design System: Rethinking Inference, Manufacturability, And Design Education, Charul Chadha, Garth Crosby, Sabit Ekin, Mohamed Gharib, Eman Hammad, Congrui Jin, Ali Ahmad Malik, Noemi Mendoza Diaz, Calahan Mollan, Monsuru Ramoni
Artificial Intelligence And Additive Manufacturing As A Coupled Design System: Rethinking Inference, Manufacturability, And Design Education, Charul Chadha, Garth Crosby, Sabit Ekin, Mohamed Gharib, Eman Hammad, Congrui Jin, Ali Ahmad Malik, Noemi Mendoza Diaz, Calahan Mollan, Monsuru Ramoni
Manufacturing & Industrial Engineering Faculty Publications
Artificial intelligence (AI) is becoming deeply integrated into additive manufacturing (AM) workflows, reshaping how designers approach geometry, materials, and process constraints. AI holds significant potential by accelerating design exploration, revealing complex patterns in AM behavior, and supporting earlier assessment of manufacturability. At the same time, it introduces new risks related to model transparency, data quality, physical validity, and the potential for overreliance by students and practitioners. This perspective examines these issues through four guiding questions that address the role of AI in AM-enabled design, the gaps that limit or enable AI contribution, the implications for engineering education, and the responsibilities …
Retraction Notice: Solving Time-Fractional Nonlinear Variable-Order Delay Pdes Using Feedforward Neural Networks, Iraqi Journal For Computer Science And Mathematics
Retraction Notice: Solving Time-Fractional Nonlinear Variable-Order Delay Pdes Using Feedforward Neural Networks, Iraqi Journal For Computer Science And Mathematics
Iraqi Journal for Computer Science and Mathematics
NOTICE OF RETRACTION FOR: Alruhaili, Hala S.; Hussain, Adel S.; Ajlouni, Abdullah M. S.; Türk, Funda; Az-Zo'bi, Emad A.; and Tashtoush, Mohammad A. (2025) ``Solving Time-Fractional Nonlinear Variable-Order Delay PDEs Using Feedforward Neural Networks,'' Iraqi Journal for Computer Science and Mathematics: Vol. 6: Iss. 3, Article 12. DOI: https://doi.org/10.52866/2788-7421.1284.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss3/12.
Retraction Notice: Software Engineering-Oriented Text Generation And Analysis Using Gpt-2, Iraqi Journal For Computer Science And Mathematics
Retraction Notice: Software Engineering-Oriented Text Generation And Analysis Using Gpt-2, Iraqi Journal For Computer Science And Mathematics
Iraqi Journal for Computer Science and Mathematics
NOTICE OF RETRACTION FOR: Hussien, Nadia Mahmood; Farhan, Aumama Mohammed; Mohialden, Yasmin Makki; Jabbar, Qabas Abdal Zahraa; Abdulmaged, Shahbaa Mohammed; and Arif, Asmaa Hatem (2025) ``Software Engineering-Oriented Text Generation and Analysis Using GPT-2,'' Iraqi Journal for Computer Science and Mathematics: Vol. 6: Iss. 3, Article 32. DOI: https://doi.org/10.52866/2788-7421.1312
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss3/32
Retraction Notice: Robust Security System: A Novel Facial Recognition Optimization Using Coronavirus-Inspired Algorithm And Machine Learning, Iraqi Journal For Computer Science And Mathematics
Retraction Notice: Robust Security System: A Novel Facial Recognition Optimization Using Coronavirus-Inspired Algorithm And Machine Learning, Iraqi Journal For Computer Science And Mathematics
Iraqi Journal for Computer Science and Mathematics
NOTICE OF RETRACTION FOR: Kadhim, Saif Mohanad; Siaw Paw, Johnny Koh; Tak, Yaw Chong; and Al-Latief, Shahad Thamear Abd (2025) ``Robust Security System: A Novel Facial Recognition Optimization Using Coronavirus-Inspired Algorithm and Machine Learning,'' Iraqi Journal for Computer Science and Mathematics: Vol. 6: Iss. 2, Article 19. DOI: https://doi.org/10.52866/2788-7421.1260.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss2/19.
Retraction Notice: Navigating The Complexities And Artificial Intelligence Of Internet Of Things Security Claims, Iraqi Journal For Computer Science And Mathematics
Retraction Notice: Navigating The Complexities And Artificial Intelligence Of Internet Of Things Security Claims, Iraqi Journal For Computer Science And Mathematics
Iraqi Journal for Computer Science and Mathematics
NOTICE OF RETRACTION FOR: Mohamed, Tamara Saad and Khalifah, Saad Mohammed (2025) "Navigating the Complexities and Artificial Intelligence of Internet of Things Security Claims," Iraqi Journal for Computer Science and Mathematics: Vol. 6: Iss. 2, Article 28. DOI: https://doi.org/10.52866/2788-7421.1270
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss2/28
Retraction Notice: Metaguard: A Federated Learning Approach To Hybrid Xgboost And Meta-Learning Models For Proactive Cyber Threat Hunting, Iraqi Journal For Computer Science And Mathematics
Retraction Notice: Metaguard: A Federated Learning Approach To Hybrid Xgboost And Meta-Learning Models For Proactive Cyber Threat Hunting, Iraqi Journal For Computer Science And Mathematics
Iraqi Journal for Computer Science and Mathematics
NOTICE OF RETRACTION FOR: Al-Khalisy, Shatha H. Jafer and Al-Kateb, Ghada Emad (2025) ``MetaGuard: A Federated Learning Approach to Hybrid XGBoost and Meta-Learning Models for Proactive Cyber Threat Hunting,'' Iraqi Journal for Computer Science and Mathematics: Vol. 6: Iss. 3, Article 27. DOI: https://doi.org/10.52866/2788-7421.1300.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss3/27.
Retraction Notice: Mathematical Properties And Simulations Of The Neutrosophic Gompertz-Inverse Burr-X Distribution With Application To Under-Five Mortality, Iraqi Journal For Computer Science And Mathematics
Retraction Notice: Mathematical Properties And Simulations Of The Neutrosophic Gompertz-Inverse Burr-X Distribution With Application To Under-Five Mortality, Iraqi Journal For Computer Science And Mathematics
Iraqi Journal for Computer Science and Mathematics
NOTICE OF RETRACTION FOR: Jumaa, Mustafa Hassan; Qaddoori, Asmaa S.; Khalaf, Sara A.; Noori, Nooruldeen A.; and Khaleel, Mundher A. (2025) ``Mathematical Properties and Simulations of the Neutrosophic Gompertz-Inverse Burr-X Distribution with Application to Under-Five Mortality,'' Iraqi Journal for Computer Science and Mathematics: Vol. 6: Iss. 3, Article 23. DOI: https://doi.org/10.52866/2788-7421.1297. Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss3/23.
Retraction Notice: Iot Flow Parameters Classification Based On Machine Learning Techniques, Iraqi Journal For Computer Science And Mathematics
Retraction Notice: Iot Flow Parameters Classification Based On Machine Learning Techniques, Iraqi Journal For Computer Science And Mathematics
Iraqi Journal for Computer Science and Mathematics
NOTICE OF RETRACTION FOR: El-Kenawy, El-Sayed M.; Eid, Marwa M.; Shukur, Ban Salman; Alhussan, Amel Ali; and Khafaga, Doaa Sami (2025) ``IoT Flow Parameters Classification Based on Machine Learning Techniques,'' Iraqi Journal for Computer Science and Mathematics: Vol. 6: Iss. 3, Article 28. DOI: https://doi.org/10.52866/2788-7421.1301.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss3/28.
Retraction Notice: Intrusion Detection System For Iot Based On Modified Random Forest Algorithm, Iraqi Journal For Computer Science And Mathematics
Retraction Notice: Intrusion Detection System For Iot Based On Modified Random Forest Algorithm, Iraqi Journal For Computer Science And Mathematics
Iraqi Journal for Computer Science and Mathematics
NOTICE OF RETRACTION FOR: Akif, Omar Z.; Ali, Sura Mazin; Sabih, Ann F.; Sadiq, Ahmed T.; and Subramaniam, S. K. (2025) ``Intrusion Detection System for IoT Based on Modified Random Forest Algorithm,'' Iraqi Journal for Computer Science and Mathematics: Vol. 6: Iss. 2, Article 17. DOI: https://doi.org/10.52866/2788-7421.1258.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss2/17.
Retraction Notice: Image Denoising Using Smooth Total Variation Function For 5g Enhanced Mobile Broadband Transmission System, Iraqi Journal For Computer Science And Mathematics
Retraction Notice: Image Denoising Using Smooth Total Variation Function For 5g Enhanced Mobile Broadband Transmission System, Iraqi Journal For Computer Science And Mathematics
Iraqi Journal for Computer Science and Mathematics
NOTICE OF RETRACTION FOR: Ibrahem, Shehab Ahmed; Abdulwahab, Walled Khalid; and Shuwandy, Moceheb Lazam (2025) ``Image denoising using smooth total variation function for 5G enhanced mobile broadband transmission system,'' Iraqi Journal for Computer Science and Mathematics: Vol. 6: Iss. 1, Article 14. DOI: https://doi.org/10.52866/2788-7421.1244.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss1/14.
Retraction Notice: Hotspot Issue Handling And Reliable Data Forwarding Technique For Ocean Underwater Sensor Networks, Iraqi Journal For Computer Science And Mathematics
Retraction Notice: Hotspot Issue Handling And Reliable Data Forwarding Technique For Ocean Underwater Sensor Networks, Iraqi Journal For Computer Science And Mathematics
Iraqi Journal for Computer Science and Mathematics
NOTICE OF RETRACTION FOR: Mahdi, Omar Adil; Al-Mayouf, Yusor Rafid Bahar; Al-Obaidi, Sameer Sami Hassan; AL-Attar, Bourair; Balogun, Hamed; and Khan, Suleman (2025). ``Hotspot Issue Handling and Reliable Data Forwarding Technique for Ocean Underwater Sensor Networks,'' Iraqi Journal for Computer Science and Mathematics: Vol. 6: Iss. 3, Article 37. DOI: https://doi.org/10.52866/2788-7421.1307.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss3/37.
Retraction Notice: High-Performance System For Predicting Icu Patient Durations Using Artificial Neural Networks With Transfer Learning, Iraqi Journal For Computer Science And Mathematics
Retraction Notice: High-Performance System For Predicting Icu Patient Durations Using Artificial Neural Networks With Transfer Learning, Iraqi Journal For Computer Science And Mathematics
Iraqi Journal for Computer Science and Mathematics
NOTICE OF RETRACTION FOR: Awsaj, Mahmood. K.; Mashhadany, Yousif Al; and ChaariFourati, Lamia (2025) ``High-Performance System for Predicting ICU Patient Durations Using Artificial Neural Networks with Transfer Learning,'' Iraqi Journal for Computer Science and Mathematics: Vol. 6: Iss. 3, Article 19. DOI: https://doi.org/10.52866/2788-7421.1285.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss3/19.
Retraction Notice: Fuzzy Backstepping Approach To Stabilizing Fuzzy Parabolic Partial Differential Equations, Iraqi Journal For Computer Science And Mathematics
Retraction Notice: Fuzzy Backstepping Approach To Stabilizing Fuzzy Parabolic Partial Differential Equations, Iraqi Journal For Computer Science And Mathematics
Iraqi Journal for Computer Science and Mathematics
NOTICE OF RETRACTION FOR: John, Zainab; Fadhel, Fadhel S.; Karim, Samsul Ariffin Abdul; and Ying, Teh Yuan (2025) "Fuzzy Backstepping Approach to Stabilizing Fuzzy Parabolic Partial Differential Equations," Iraqi Journal for Computer Science and Mathematics: Vol. 6: Iss. 4, Article 13. DOI: https://doi.org/10.52866/2788-7421.1338
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss4/13