Crowdsourcing with the intelligent agents carrying smart devices is becoming increasingly popular in recent years.It has opened up meeting an extensive list of real-life applications such as measuring air pollution levels, road traffic information, etc.In literature, this is known as mobile crowdsourcing or mobile crowdsensing.In this paper, the di

In the process of frequent start-stop actions of the slewing platform in existing electric shovels, there is a substantial waste of kinetic energy.Furthermore, the installed power of the drive motor is often configured according to the maximum load, which makes it frequently operate in a low-efficiency region further exacerbating energy losses.To a

The treatment landscape of metastatic prostate cancer (mPCa) is rapidly evolving with the recent approvals of poly-ADP ribose polymerase inhibitors (PARPis) as monotherapy or as part of combination therapy with androgen receptor pathway inhibitors in patients with metastatic castration-resistant prostate cancer (mCRPC).Already part of the therapeut

Sensorimotor signals are integrated and processed by the cerebellar circuit to predict Robotics accurate control of actions.In order to investigate how single neuron dynamics and geometrical modular connectivity affect cerebellar processing, we have built an olivocerebellar Spiking Neural Network (SNN) based on a novel simplification algorithm for

The aim of this study was to assess the capabilities of different simulation approaches to predict the flutter stability of a steam turbine rotor.The focus here was on THYRO SENSE linear and nonlinear frequency domain solvers in combination with the energy method, which is widely used for the prediction of flutter onset.Whereas a GMRES solver was u