Yeshiva Academic Institutional Repository (ISSN: 2766-1016), accepts research and scholarship from YU faculty, staff, and students.
Current faculty, staff, and students of Yeshiva University can use YAIR Self-Deposit to deposit research materials in any digital format, including: articles, monographs, theses and dissertations, working papers, technical reports, conference papers and presentations, datasets, software code, images, video, and other multimedia creations.
For detailed guidance on scholarly publication, open access, copyright, repositories and data management, please refer to Yeshiva Academic Institutional Repository: User's Guide.
If you have other questions about the deposit process, please contact us at email@example.com.
Communities in Yeshiva Academic Institutional Repository
Select a community to browse its collections.
The Consistency Between the Second Law of Thermodynamics and the Evolution of Complex Biochemical Systems (2021-12-09)According to the three laws of thermodynamics, energy cannot be created nor destroyed, only transformed into a different energy form; entropy, or disorder, of an isolated system is always increasing, thus making many ...
Etiology and Treatment of Major Depressive Disorder: Where Research Stands and Suggestions for the Future (2022-01)A deeper understanding of Major Depressive Disorder (MDD) is crucial to identify and monitor those at risk for depression and more easily diagnose and effectively treat patients. This paper provides an in-depth look at ...
(2021-12-08)Although the content of picture books can be written off as merely for children, picture books are possibly the most impactful books written because of the impressionable age at which they are first read (Nel 87), and thus, ...
One Who Has Acquired a Good Name Has Acquired Something for Himself1: Named Entity Recognition on Talmudic Texts (2021-12-27)Abstract In this paper, I will explore the intersection between Natural Language Processing and Talmudic texts. I worked with Professor Joshua Waxman at the Stern Natural Language Processing Lab during this research project ...