In this paper, we consider a problem of quadcopter control in severe weather conditions.One type of such weather conditions is a strong variable wind.In this paper, we ponder deterministic and stochastic models of winds at low altitudes with the quadcopter performing aggressive maneuvers.We choose an adaptive Kids clothes algorithm as our control a
A deep learning model based on self-supervised learning for identifying subtypes of proliferative hepatocellular carcinoma from dynamic contrast-enhanced MRI
Abstract Objectives This study employs dynamic contrast-enhanced MRI (DCE-MRI) to noninvasively predict the proliferative subtype of hepatocellular carcinoma (HCC).This subtype is marked by high tumor proliferation and aggressive clinical behavior.We developed a deep learning prediction model that employs a dynamic radiomics workflow and self-super
Formulasi Ransum Alternatif Untuk Meningkatkan Efisiensi Usaha Peternakan Sapi Perah (Studi Kasus pada Peternakan Bestcow Farm Jember)
This study aimed to examine the formulation of the cheapest alternative TV Masthead Amplifier dairy rations and analyze the income and cost-efficiency of Bestcow Farm Jember.This research was conducted at Bestcow Farm Jember.The research location was chosen using purposive sampling with the consideration that Bestcow Farm has a fairly large populat
Autoantibodies in Serum of Systemic Scleroderma Patients: Peptide-Based Epitope Mapping Indicates Increased Binding to Cytoplasmic Domains of CXCR3
Systemic sclerosis (SSc) is a severe chronic autoimmune disease with high morbidity and mortality.Sera of patients with SSc contain a large variety of autoantibody (aab) reactivities.Among these are functionally active aab that bind to G protein-coupled receptors (GPCR) such as C-X-C motif chemokine receptor 3 (CXCR3) and 4 (CXCR4).Aab binding to t