Hospital services play a critical role in providing managerial health services for patients’ health in hospitals. It is becoming increasingly important to cut costs and optimize resource allocation. Decisions about c...
Hospital services play a critical role in providing managerial health services for patients’ health in hospitals. It is becoming increasingly important to cut costs and optimize resource allocation. Decisions about capacity planning are critical in all industries, particularly those related to the hospital industry, because they relate not only to the management of highly specialized and expensive resources. This paper proposes an optimization model for the capacity planning in a hospital based on data-driven approach. The aim of the model is to find the minimum of the operating costs occurred in hospital healthcare planning.
Currently, virtualization technology that enables a data center to efficiently use server resources is promising as cloud services are being prevalent with increasing traffic volumes and requirements for service quali...
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To optimize flight planning is an essentialpoint for every airline company must consider such as maximizing profits. Several stages involved in flight planning optimization, for example, the scheduling of the aircraft...
To optimize flight planning is an essentialpoint for every airline company must consider such as maximizing profits. Several stages involved in flight planning optimization, for example, the scheduling of the aircraft fleet, which should be planned optimally how to schedule the aircraft to different multi-leg flights. Howeverin reality the demand is uncertain at this early stage due to a variety of factors. We formulate a mixed integer stochastic programming model for solving the planning problem.
Millions of people worldwide are suffering and struggling to obtain the most effective wound care/treatment. In previous years, a steep rise in metabolic disorders such as diabetic wound ulcers has been noticed. The p...
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Acoustic metalenses have been pursued over the past decades due to their pivotal role in a wide variety of applications. Recent research efforts have demonstrated that, at ultrasonic regimes, acoustic levitation can b...
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Acoustic metalenses have been pursued over the past decades due to their pivotal role in a wide variety of applications. Recent research efforts have demonstrated that, at ultrasonic regimes, acoustic levitation can be realized with standing waves, which are created by the interference between incoming and reflected focused waves. However, the conventional gradient-metasurface approach to focus ultrasonic waves is complex, leading to poor scalability. In this work, we propose a design principle for ultrasonic metalenses, based on metagratings—arrays of discrete scatters with coarser features than gradient metasurfaces. We achieve beam focusing by locally controlling the excitation of a single diffraction order with the use of metagratings, with geometry adiabatically varying over the lens aperture. We show that our metalens can effectively focus impinging ultrasonic waves to a focal point with a full width at half maximum of 0.364 of the wavelength. The focusing performance of the metalens is demonstrated experimentally, validating our proposed approach. This metagrating approach to focusing can be adopted for different operating frequencies by scaling the size of the structure, which has coarse features suitable for high-frequency designs, with potential applications ranging from biomedical science to nondestructive testing.
Basaltic rocks occur widely on the terrestrial planets and differentiated asteroids, including the asteroid 4 Vesta. We conducted a shock recovery experiment with decaying compressive pulses on a terrestrial basalt at...
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In this paper we propose a constrained based search algorithm for solving multi-period single-sourcing problems. In particular, we generalize the strategy of releasing nonbasic variables from their bounds, combined wi...
In this paper we propose a constrained based search algorithm for solving multi-period single-sourcing problems. In particular, we generalize the strategy of releasing nonbasic variables from their bounds, combined with the active constraint method that was developed for the Generalized Assignment Problem to a class of convex assignment problems. We then identify an important subclass of problems, containing many variants of the multi-period single-sourcing problem, as well as variants of the original assignment problems.
computertechnology represented by artificial intelligence and big data has begun to combine with genetic technology, and has gradually played an increasingly important role in the fields of gene sequencing, disease d...
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Network Function Virtualization (NFV) decouples network functions from dedicated, proprietary hardware into software Virtual Network Functions (VNFs) that can run on standard, commodity servers. One challenge of NFV i...
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