Most Recent Additions
The Myth of Homespun
Valeria delaPortilla
Experts on DIY Publishing: History of Zines (+ Free Speech)
Michelle Lee, Colin Wheeler, and Peter Rorabaugh
Women’s leadership in Oman: An intersectional and transnational perspective
Maia Hallward and Hania Bekdash Muellers
Anti-normalization, nonviolent activism, and domestic interests: The Case of Morocco
Maia Hallward and Taib Biygautane
Opposition from within – Israeli soldiers resist the occupation
Maia Hallward and Lina Tuschling
Arab State Narratives on Normalization with Israel: Justifying Policy Reversal
Maia Hallward and Taib Biygautane
Pandemic Motherhood
Ali Duffy, Sarah Johnson, and Tamar Neumann
Between Digital Transformation and Regulatory Vacuum: Cybersecurity of Public Services in Mozambique
Faztudo Languisse Eng.
Clinic-in-a-Box: A Portable, Software-Defined Cyber Range for Realistic, Scenario-Based Cybersecurity Training
Ethan Chumley, Aaron Nair, Royce Yaezenko, Joshua Payne, Veronika Kyles, Paul Wagner, Robert J. Honomichl, Ryan Straight, and Shengjie Xu
Using Clustering Techniques and MITRE ATT&CK Threat Interpretation to Detect Anomalies in Modbus/TCP for Industrial Control Systems
Shivanjali Khare, Tirthankar Ghosh, Jhansi Sreya Jagarapu, and Atharva Haridas Sagare
Personal Authenticity for Engagement and Transfer in Introductory Cybersecurity Education
Daniel T. Hickey and Ronald J. Kantor
Ensemble learning framework for predicting close proximity tire–pavement noise on expressways
Woo Young Cho, Jin Hwan Kim, Guk Gon Song, Kyungnam Kim, and Youngguk Seo
Wellness in Motion: How SWIFTT Enhances Teacher Resilience and Equitable Instruction
Christopher J. Simenz, Leslie Ruffalo, Courtney Barry, and Brian Culp
A Machine Learning Framework for DDoS Attack Detection in SDN-Enabled Mobile Wireless Networks
Ishita Sharma, Satyam Agarwal, Shashi Shekhar Jha, and Sumit Chakravarty
Evolution of polypyrrole electrode during electropolymerization and its effect on energy storage performance
Duy Pham, Ryan Tcheutchoua Gouafong, Jake Irvin, Ben McKinney, Jacob Dileonardi, Mason Cox, and Ashish Aphale
Beyond Accuracy: Machine Learning Models for Predicting Presence of Permanent Molar Caries in U.S. Children and Adolescents with Fairness Consideration
Pritam Deb, Lin Li, and Christina R. Scherrer
*Updated as of 09/10/26.