An artificial neural network (ANN) is a computational model − implemented as a computer program − that is aimed at emulating the key features and operations of biological neural networks. ANNs are extensively used to model ...

Methods are presented for calibrating the hadron calorimeter system of theCMSetector at the LHC. The hadron calorimeters of the CMS experiment are sampling calorimeters of brass and scintillator, and are in the form of one ...

In the present study we prove rigorously that in the long-wave limit, the unidirectional solutions of a class of nonlocal wave equations to which the improved Boussinesq equation belongs are well approximated by the solutions ...

This article reports a mixed-method study that examined the washback effect from a locally-produced, theme-based, high-stakes English language proficiency test in tertiary education in a Turkish EAP context. The aim was ...

Purpose: In a world where corporate social responsibility (CSR) is a meaningful trend valued by firm stakeholders, it is still not clear how the marketing department integrates corporate-level social responsibility strategy ...

There is renewed interest in multi-informant and person-centered approaches to comprehending the nature of students’ behavior problems. However, most previous studies utilized single-informant or variable-based approaches. ...

MEMS array oscillators typically require a separate detector and feedback loop for each oscillator. We show that grating-based-optical-readout induces nonlinearity, which enables simultaneous operation of an array-of-oscillators ...