With the rapid development of deep learning in the field of computer vision, few-shot learning has emerged as an L-TRYPTOPHAN effective approach to tackle the challenge of data scarcity, garnering widespread attention from researchers.Despite significant progress in few-shot learning, current few-shot image classification methods have not fully exp
This paper presents a fully risk-aware model predictive control (MPC) framework for chance-constrained discrete-time linear control systems with process noise.Conditional value-at-risk (CVaR) as a popular coherent risk measure is incorporated in both the constraints and the cost function of the MPC framework.This allows the system to navigate the e
Introduction: Since 2008 United State (US) food drug administration mandate, several newer anti-diabetic drugs (ADD) have undergone a mandatory cardiovascular (CV) outcome trial (CVOT) in type diabetes (T2DM) patients with high CV risk.These includes CVOT done with dipeptidyl-peptidase-4 inhibitors, sodium-glucose co-transporter-2 inhibitors and gl
Lectins comprise a heterogeneous class of proteins that recognize the carbohydrate moieties of glycoconjugates with high specificity.Numerous studies have shown that lectins are capable of recognizing specific carbohydrate moieties displayed TOTAL E by malignant cells or tissues.The present work was performed to investigate the effects of tepary be
AimTo evaluate the impact of sodium glucose cotransporter 2 inhibitors (SGLT-2i) on risk of heart failure hospitalization in patients with type 2 diabetes.MethodsWe searched the PubMed, Embase, The Cochrane Library, CNKI, Wanfang, CBM, and other web knowledge databases for data from randomized controlled trials.We performed statistical analyses by