“…Abraxane, which contains albumin nanoparticles containing the anti-cancer drug Paclitaxel, has been approved by the relevant international organizations in recent years, and the significant annual growth trend of this drug and its effectiveness in treating various cancers has attracted the attention of many researchers Has attracted drug delivery [ 48 – 51 ]. Mathematical modeling plays an important role in facilitating the design of drug delivery systems by identifying key factors and molecular mechanisms of release [ 52 – 54 ]. Fig.…”
In this article, we will describe the properties of albumin and its biological functions, types of sources that can be used to produce albumin nanoparticles, methods of producing albumin nanoparticles, its therapeutic applications and the importance of albumin nanoparticles in the production of pharmaceutical formulations. In view of the increasing use of Abraxane and its approval for use in the treatment of several types of cancer and during the final stages of clinical trials for other cancers, to evaluate it and compare its effectiveness with conventional non formulations of chemotherapy Paclitaxel is paid. In this article, we will examine the role and importance of animal proteins in Nano medicine and the various benefits of these biomolecules for the preparation of drug delivery carriers and the characteristics of plant protein Nano carriers and protein Nano cages and their potentials in diagnosis and treatment. Finally, the advantages and disadvantages of protein nanoparticles are mentioned, as well as the methods of production of albumin nanoparticles, its therapeutic applications and the importance of albumin nanoparticles in the production of pharmaceutical formulations.
“…Abraxane, which contains albumin nanoparticles containing the anti-cancer drug Paclitaxel, has been approved by the relevant international organizations in recent years, and the significant annual growth trend of this drug and its effectiveness in treating various cancers has attracted the attention of many researchers Has attracted drug delivery [ 48 – 51 ]. Mathematical modeling plays an important role in facilitating the design of drug delivery systems by identifying key factors and molecular mechanisms of release [ 52 – 54 ]. Fig.…”
In this article, we will describe the properties of albumin and its biological functions, types of sources that can be used to produce albumin nanoparticles, methods of producing albumin nanoparticles, its therapeutic applications and the importance of albumin nanoparticles in the production of pharmaceutical formulations. In view of the increasing use of Abraxane and its approval for use in the treatment of several types of cancer and during the final stages of clinical trials for other cancers, to evaluate it and compare its effectiveness with conventional non formulations of chemotherapy Paclitaxel is paid. In this article, we will examine the role and importance of animal proteins in Nano medicine and the various benefits of these biomolecules for the preparation of drug delivery carriers and the characteristics of plant protein Nano carriers and protein Nano cages and their potentials in diagnosis and treatment. Finally, the advantages and disadvantages of protein nanoparticles are mentioned, as well as the methods of production of albumin nanoparticles, its therapeutic applications and the importance of albumin nanoparticles in the production of pharmaceutical formulations.
“…Remark ABLF theory has been explored in the dynamic positioning to handle the state constraints and ensure the safety of the parallel systems. Some technologies have been proposed to deal with states constraints of communication channels, such as model predictive control technolog [39], nonlinear optimal method [40, 41], reference governors approach [42], and so on. However, ABLF can express asymmetric constraints precisely, , less computational burden and more relaxed on initial conditions.…”
This paper addresses constrained robust control for dynamic positioning of the Liquefied Natural Gas (LNG) Carrier in side-by-side offloading operations subject to input time delay. During the LNG offloading operation, the relative motions of the multibody system are connected by the LNG offloading arm. To ensure the operation safety, robust control with asymmetric Barrier Lyapunov Function is proposed considering predefined output constraints under the unknown dynamics and external disturbances. In offshore engineering, due to the mechanical effects, the thrusters of the LNG carrier in the presence of time-delay should be investigated to guide the design practice. The predictor-based method is employed to deal with the time delay induced by the control inputs. It is proven that the proposed scheme can guarantee semi-global uniform ultimate boundedness. The performance and feasibility of the proposed control are further verified by simulation studies.
“…The second equation in (14) yields that x 1 = c − x s /s 1 and replacing x 1 in the first and third equations from ( 14) we obtain that: λ 1 = −c/s 1 + x s /s 1 and the third equation is accomplished as an equality from which yields λ 2 = 0. We used…”
Section: Theoretical Foundationmentioning
confidence: 99%
“…The obtained results illustrate an increase in the number of vehicles traversing the intersections. There were also studies performed that propose solutions to model and optimise the intersections using intelligent methods, such as Q-learning algorithms, fuzzy logic, neural networks, and neuro-inspired control [13][14][15][16][17][18].…”
The evolution of communication networks offers new possibilities for development in the automotive industry. Smart vehicles will benefit from the possibility of connecting with the infrastructure and from an extensive exchange of data between them. Furthermore, new control strategies can be developed that benefit the advantages of these communication networks. In this endeavour, the main purposes considered by the automotive industry and researchers from academia are defined by: (i) ensuring people’s safety; (ii) reducing the overall costs, and (iii) improving the traffic by maximising the fluidity. In this paper, a cyber-physical framework (CPF) to control the access of vehicles in roundabout intersections composed of two levels is proposed. Both levels correspond to the cyber part of the CPF, while the physical part is composed of the vehicles crossing the roundabout. The first level, i.e., the edge-computing layer, is based on an analytical solution that uses multivariable optimisation to minimise the waiting times of the vehicles entering a roundabout intersection and to ensure a safe crossing. The second level, i.e., the cloud-computing layer, stores information about the waiting times and trajectories of all the vehicles that cross the roundabout and uses them for long-term analysis and prediction. The simulated results show the efficacy of the proposed method, which can be easily implemented on an embedded device for real-time operation.
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