An experimental study of cyclone filters of various designs is conducted.The parameters that allow increasing the degree of air purification from dust are identified: air pressure at the SEMI-SWEET CHOCOLATE CHIPS filter inlet, working air temperature, as well as the diameter of the BUTTERBUR nozzle of the purified air consumer simulator and the di
PRAGMATIC TRANSFER IN REQUEST REALIZATIONS
This study investigates the pragmatic transfer in English request realizations made by EFL learners, i.e.the proficient learners.The subjects were students of an English Study Program who obtained TOEFL-like scores of at least 450.The data were collected by means of DCT-questionnaires and Role-plays.The results show that BUTTERBUR the subjects real
Qualitative evidence of crimes against humanity: the August 2017 attacks on the Rohingya in northern Rakhine State, Myanmar
Abstract Background The Rohingya ethnic minority population in northern Rakhine state, Myanmar, have experienced some of the most protracted situations of persecution.Government-led clearance operations in August 2017 were one of many, but notably one of the most devastating, attacks on the population.The study aimed to conduct a multiphase mixed-m
Improving FDI Detection for PMU State Estimation Using Adversarial Interventions and Deep Auto-Encoder
Concerns have been voiced about the growing significance of cyber-threats, especially in light of the potentially dire repercussions of false data injection (FDI) assaults.This work investigates FDI detection in phasor measurement units (PMU), focusing on instances where an attack can be launched simply by compromising one unit.Simulated post-proce
Deep-learning based approach to identify substrates of human E3 ubiquitin ligases and deubiquitinases
E3 ubiquitin ligases (E3s) and deubiquitinating enzymes (DUBs) play key roles in protein degradation.However, a large number of E3 substrate interactions (ESIs) and DUB substrate interactions (DSIs) remain elusive.Here, we present DeepUSI, a deep learning-based framework to identify ESIs and DSIs using the rich information present in protein sequen