The composition of the human microbiome is a critical health indicator, and culture-independent methodologies have substantially advanced our understanding of human-associated microorganisms.However, precise identification and characterization of microbial strains require culture-based techniques.Recently, the resurgence of culturomics, combined re
Ion acceleration with an ultra-intense two-frequency laser tweezer
Ultra-intense lasers produce and manipulate plasmas, allowing to locally generate extremely high static and electromagnetic fields.This study presents a concept of an ultra-intense optical tweezer, where two counter-propagating circularly polarized intense lasers of different frequencies collide on a nano-foil.Interfering inside nitrile gloves in a
Superficial basal cell carcinoma: clinical, epidemiological, dermoscopic, and anatomopathological correlation
Introduction: Basal cell carcinoma is the most common non-melanoma malignancy in humans.Its superficial variant has specificities that can represent a diagnostic and therapeutic challenge.Objective: To describe the epidemiological profile of patients with superficial basal cell carcinoma (SBCC) treated at a reference service and to correlate, stati
Design of the Joint Motor for an Articulated Robot Considering Joint Load Characteristics
In this paper, we propose a method to efficiently design joint motors, which are the key elements that drive a cooperative robot.Designing joint motors with more power than the required capacity increases the volume and weight of the robot.On the other hand, designing joint motors with less power than the required capacity can lead to failure and s
Adversarial attacks against supervised machine learning based network intrusion detection systems
Adversarial machine learning is a recent area of study that explores both adversarial attack strategy and detection systems of adversarial attacks, which are inputs specially crafted to outwit the classification of detection systems or disrupt the training process of detection systems.In this research, we performed two adversarial attack scenarios,