Results 1 to 10 of about 2,622,886 (289)
Some q-Fractional Estimates of Trapezoid like Inequalities Involving Raina’s Function
In this paper, we derive two new identities involving q-Riemann-Liouville fractional integrals. Using these identities, as auxiliary results, we derive some new q-fractional estimates of trapezoidal-like inequalities, essentially using the class of ...
Kamsing Nonlaopon +4 more
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The Fundamental Nature of Motives
Decision-making is described as a natural process, one among others, consuming free energy in the least time. The thermodynamic tenet explains why data associated with decisions display the same patterns as any other data: skewed distributions, sigmoidal
Arto Annila
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A quantum machine is a human-made device whose collective motion follows the laws of quantum mechanics. Quantum machine learning (QML) is machine learning for quantum computers.
Riyaaz Uddien Shaik +2 more
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Quantum vaccinomics platforms to advance in vaccinology
The opinion flows from Introduction to the immunological quantum that requires a historical perspective, to Quantum vaccine algorithms supported by a bibliometric analysis, to Quantum vaccinomics describing from our perspective the different vaccinomics ...
José de la Fuente +2 more
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BSIM-CMG compact model for IC CAD: from FinFET to Gate-All-Around FET Technology
We discuss the BSIM-CMG compact model for SPICE simulations of any common multi-gate (CMG) device. This is an industry standard model which has been used extensively for FinFETs IC design and simulation, and has now been extended to accurately model gate-
Avirup Dasgupta, Chenming Hu
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VIDEO ASSISTED QUANTUM LEARNING DESIGN TO IMPROVE PSYCHOMOTORIC LEARNING ACHIEVEMENT
This paper aims at investigating how video-assisted quantum learning design improves the learning achievement on psychomotor aspect. This paper is constructed of review of related literature, deep investigation on journal articles and related empirical ...
Wilfridus Muga
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Identification of Image Edge Using Quantum Canny Edge Detection Algorithm
Identification of image edges using edge detection is done to obtain images that are sharp and clear. The selection of the edge detection algorithm will affect the result.
Dini Sundani +3 more
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2023 roadmap for materials for quantum technologies
Quantum technologies are poised to move the foundational principles of quantum physics to the forefront of applications. This roadmap identifies some of the key challenges and provides insights on material innovations underlying a range of exciting ...
Christoph Becher +19 more
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Fertility progression in Germany: An analysis using flexible nonparametric cure survival models
Objective: This paper uses data from the German Socio-Economic Panel (GSOEP) to study the transition to second and third births. In particular, we seek to distinguish the factors that determine the timing of fertility from the factors that influence ...
Vincent Bremhorst +2 more
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In this study, it is intended to show an alternative method to derive the wave function of a single electron as solutions of the Schrodinger equation.
Yacobus Yulianto, Zaki Su'ud
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