Forest fires in Italy are mainly caused by Selector Knob humans, and directly depend on social behavior, whether voluntary (arson) or involuntary (negligence).Despite the progress in knowledge made with studying the physical facets of the phenomenon, causes and motives of human-related fire remain mostly unknown.This paper proposes the implementati
Registry access anomaly detection system based on the rough set algorithm
With the rapid growth and the popularization of the Internet, network security problems become increasingly serious.This paper analyzes the impact on several malicious codes on registry access behaviour and builds a rough set of algorithms-based registry GARLANDS access intrusion detection systems.Related attributes are constructed considering both
A Quasi-Oppositional Method for Output Tracking Control by Swarm-Based MPID Controller on AC/HVDC Interconnected Systems With Virtual Inertia Emulation
This paper presents a comprehensive evaluation of the effect of quasi oppositional - based learning method utilization in output tracking control through a swarm-based multivariable Proportional-Integral-Derivative (SMPID) controller, which is tuned by a novel performance index based on the step response characteristics in multi-input multi-output
Endogenous Antibody Responses to SARS-CoV-2 in Patients With Mild or Moderate COVID-19 Who Received Bamlanivimab Alone or Bamlanivimab and Etesevimab Together
BackgroundNeutralizing monoclonal antibodies (mAbs) to SARS-CoV-2 are clinically efficacious when administered early, decreasing hospitalization CLA (Conjugated Linoleic Acid) and mortality in patients with mild or moderate COVID-19.We investigated the effects of receiving mAbs (bamlanivimab alone and bamlanivimab and etesevimab together) after SAR