Abstract: The promise of model-predictive control (MPC) in robotics has led to extensive development of efficient numerical optimal control solvers in line with differential dynamic programming ...
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This valuable work presents an interpretable protein-DNA Energy Associative (IDEA) model for predicting binding sites and affinities of DNA-binding proteins. While the method is convincing, it ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We introduce a new computational approach for predicting organic crystalline ...
JP Morgan clinched its first ever prime jumbo trade to use a non-QM style pro rata sequential structure on Tuesday, raising $418.4m via JPMMT 2025-3 as the bank seeks to bring this structure to market ...
While sleep's positive impact on cognition has long been recognized, Baycrest researchers have revealed that a good night's sleep may actively enhance memory rather than simply protect it from decline ...
Python for Data Analysis/ ├── Month_1: Python Foundations and Data Manipulation │ ├── Week_1: Introduction and Environment Setup │ │ ├── Lecture/ │ │ ├── Practice/ │ │ ├── Assignments/ │ │ └── Data ...
JP Morgan brought innovation to the prime jumbo RMBS market on Wednesday as it announced the first deal from the asset class to use a non-QM style pro rata sequential structure rather than the senior ...
Deep generative models that learn from the distribution of natural protein sequences and structures may enable the design of new proteins with valuable functions. While the majority of today’s models ...
Proteins, essential macromolecules for biological processes like metabolism and immune response, follow the sequence-structure-function paradigm, where amino acid sequences determine 3D structures and ...