eLife

A differentiable model for optimizing the genetic drivers of synaptogenesis

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
Scientific Research Publishing

Reinforcement Learning for Antidepressant Dose Adjustment: An Explainable Agent Approach ()

Reinforcement Learning, Explainable AI, Computational Psychiatry, Antidepressant Dose Optimization, Major Depressive Disorder, Treatment Personalization, Clinical Decision Support Share and Cite: de ...
Investopedia

Understanding Distribution Channels in Business: How They Function

Jason Fernando is a professional investor and writer who enjoys tackling and communicating complex business and financial problems. Natalya Yashina is a CPA, DASM with over 12 years of experience in ...
Investopedia

Understanding Normal Distribution: Key Concepts and Financial Uses

James Chen, CMT is an expert trader, investment adviser, and global market strategist. Khadija Khartit is a strategy, investment, and funding expert, and an educator of fintech and strategic finance ...
IEEE

A Novel Approach to Construct 1-D Discrete Complex Variable Chaotic Systems and Its Application

Abstract: Conventional real-valued 1-D chaotic models are constrained by three fundamental limitations: Restricted chaotic regimes, susceptibility to dynamic degradation in finite-precision ...
IEEE

Optimization-based Verification of Discrete-time Control Barrier Functions: A Branch-and-Bound Approach

Abstract: Discrete-time Control Barrier Functions (DTCBFs) form a powerful control theoretic tool to guarantee safety and synthesize safe controllers for discrete-time dynamical systems. In this paper ...