Safety-critical control is a type of modern task where potentially conflicting stability, safety, and input constraints coexist. In this paper, the Prescribed-Time Zeroing Control Barrier Function (PT-ZCBF) introduced, which can be applied as prescribed-time stability constraint in safety-critical tasks. Furthermore, we formulate PT-ZCBF-based Quadratic Program (QP), able to mediate control. Th...

objective: in this study, artificial neural network (ann) analysis of virotherapy in preclinical breast cancer was investigated. materials and methods: in this research article, a multilayer feed-forward neural network trained with an error back-propagation algorithm was incorporated in order to develop a predictive model. the input parameters of the model were virus dose, week and tamoxifen ci...

Abstract High school students’ difficulties with quantum physics (QP) are partly due to their limited understanding of the nature science (NOS). The essence QP can only be understood informed views about NOS aspects such as role models and relevance controversies between physicists. Inversely, is an ideal topic for teaching NOS. However, secondary textbooks seldom support teachers explicitly ad...

The quadratic-phase Fourier transform (QPFT) has gained much popularity in recent years because of its applications image and signal processing. However, the QPFT is inadequate for localizing spectrum, which required some applications. In this paper, wave packet (QP-WPT) proposed to address problem, based on (WPT) QPFT. Firstly, we propose definition QP-WPT give relation with windowed (WFT). Se...

Quasiparticle (QP) effects play a significant role in the coherence and fidelity of superconducting quantum circuits. The Andreev bound states high-transparency Josephson junctions can act as low-energy traps for QPs, providing mechanism studying dynamics properties both QPs junction. Using locally injected thermal we study QP loss poisoning epitaxial Al-InAs incorporated interference device (S...

Quantum probability (QP) theory is a theory for how to assign probabilities to observables. In the context of physics, it has been successfully employed by researchers for over 100 years and has been the basis for some of the most impressive discoveries of the human mind (e.g., the transistor, and so the microchip, and the laser). But the applicability of QP theory is not limited to physical ph...

The problem of obtaining the maximum a posteriori estimate of a general discrete random field (i.e. a random field defined using a finite and discrete set of labels) is known to be NP-hard. However, due to its central importance in many applications, several approximate algorithms have been proposed in the literature. In this paper, we present an analysis of three such algorithms based on conve...