The present study investigates the impact of corporate social responsibility (CSR) on financial performance (FB) of Lebanese banks.Based on panel data of seven Lebanese banks, Womens Sweater a positive relation between CSR and financial performance have been found.The research findings contribute to understand that Lebanese Lubricating Gels perform
A Cooperative Control Algorithm for Line and Predecessor Following Platoons Subject to Unreliable Distance Measurements
This paper uses a line-following approach to study the longitudinal and lateral problems in vehicle platooning.Under this setup, we assume that inter-vehicle distance sensing is unreliable and propose a cooperative control strategy to render the platoon less vulnerable to these sensing difficulties.The proposed control scheme uses the velocity of s
3D DenseNet Deep Learning Based Preoperative Computed Tomography for Detecting Myasthenia Gravis in Patients With Thymoma
BackgroundMyasthenia gravis (MG) is the most common Krill Oil paraneoplastic syndromes of thymoma and closely related to thymus abnormalities.Timely detecting of the risk of MG would benefit clinical management and treatment decision for patients with thymoma.Herein, we developed a 3D DenseNet deep learning (DL) model based on preoperative computed
Securitisation of Migration in the European Union During the EU-Belarus Border Crisis (2021-2022)
Securitisation is associated with a certain amount of visibility for migrants in public space.It is expressed in actions such as tightening rules on illegal border crossings, strengthening the number of forces and services at the borders, introducing a state of emergency, intensive use of surveillance technologies and control practices by uniformed
Self-Supervised Pretraining and Quantization for Fault Tolerant Neural Networks: Friend or Foe?
Deep neural networks (DNNs) are increasingly being applied in critical domains such as healthcare and autonomous driving.However, their predictive capabilities can degrade in the presence of Womens Sweater transient hardware faults, which can lead to potentially catastrophic and unpredictable errors.Consequently, various techniques have been propos