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The "dual carbon" goal has made it a mainstream trend for new energy stations (NESs) and energy storage stations (ESSs) to jointly participate in market regulation. This paper proposes a multiple time scale distributed optimization method for NESs and ESSs based on the alternate direction multiplier method (ADMM). By first considering the uncertainty of new energy output and the volatility of electricity market prices, a multi time scale revenue model is constructed for day-ahead, intraday, and real-time markets. Then, the objective function is built by maximizing the comprehensive market revenues and is simplified using the synergistic effect of NESs and ESSs. Next, the simplified objective function is solved by the ADMM, and the revenues are maximized while each energy meets the relevant constraints. Lastly, the 33-node network topology is used to illustrate the feasibility of the proposed method. The simulation results show that after optimization, the output of NESs and ESSs can coordinate work in day-ahead, intraday, and real-time markets, while the abandonment power of wind and light is significantly improved. [ABSTRACT FROM AUTHOR]

Melanoma is the most severe type of skin cancer and among the most malignant neoplasms in humans. With the growing incidence of melanoma, increased numbers of therapeutic options, and the potential to target specific proteins, understanding the basic mechanisms underlying the disease's progression and resistance to treatment has never been more important. LOXL3, SNAI1, and NES are key factors in melanoma genesis, regulating tumor growth, metastasis, and cellular differentiation. In our study, we explored the potential role of LOXL3, SNAI1, and NES in melanoma progression and metastasis among patients with dysplastic nevi, melanoma in situ, and BRAF+ and BRAF− metastatic melanoma, using immunofluorescence and qPCR analysis. Our results reveal a significant increase in LOXL3 expression and the highest NES expression in BRAF+ melanoma compared to BRAF−, dysplastic nevi, and melanoma in situ. As for SNAI1, the highest expression was observed in the metastatic melanoma group, without significant differences among groups. We found co-expression of LOXL3 and SNAI1 in the perinuclear area of all investigated subgroups and NES and SNAI1 co-expression in melanoma cells. These findings suggest a codependence or collaboration between these markers in melanoma EMT, suggesting new potential therapeutic interventions to block the EMT cascade that could significantly affect survival in many melanoma patients. [ABSTRACT FROM AUTHOR]

The purpose of this study is to investigate the suppression effect of a nonlinear energy sink (NES) on the wind-vortex-induced pipe vibration and explore the influence of damping, stiffness, and NES installation position on the suppression effect. In this work, the wind-vortex-induced vibration of an elastic pipe of a deepwater jacket was studied, and vibrations were suppressed by using an NES. A van der Pol wake oscillator was used to simulate vortex-induced force, and the dynamic equation of the pipe considering the NES was established. The Galerkin method was applied to discretize the motion equation, and the vortex-induced vibration (VIV) of the pipe at reduced wind speeds was numerically analyzed. The novelty of this research is that particle swarm optimization was used to optimize the parameters of the NES to improve vibration suppression. The influence of the installation position, nonlinear stiffness, and damping parameters of the NES on vibration suppression was analyzed. Results showed that the optimized parameter combinations of the NES can effectively reduce wind-vortex-induced pipe vibration. The installation position of the NES had a significant effect on vibration suppression, and the midpoint of the pipe was the optimal NES installation position. An increase in stiffness or a 10% decrease in damping may cause vibration suppression failure. The results of this study provide some guidance for VIV suppression in deepwater jacket pipes. [ABSTRACT FROM AUTHOR]

The “dual carbon” goal has made it a mainstream trend for new energy stations (NESs) and energy storage stations (ESSs) to jointly participate in market regulation. This paper proposes a multiple time scale distributed optimization method for NESs and ESSs based on the alternate direction multiplier method (ADMM). By first considering the uncertainty of new energy output and the volatility of electricity market prices, a multi time scale revenue model is constructed for day-ahead, intraday, and real-time markets. Then, the objective function is built by maximizing the comprehensive market revenues and is simplified using the synergistic effect of NESs and ESSs. Next, the simplified objective function is solved by the ADMM, and the revenues are maximized while each energy meets the relevant constraints. Lastly, the 33-node network topology is used to illustrate the feasibility of the proposed method. The simulation results show that after optimization, the output of NESs and ESSs can coordinate work in day-ahead, intraday, and real-time markets, while the abandonment power of wind and light is significantly improved.

Melanoma is the most severe type of skin cancer and among the most malignant neoplasms in humans. With the growing incidence of melanoma, increased numbers of therapeutic options, and the potential to target specific proteins, understanding the basic mechanisms underlying the disease’s progression and resistance to treatment has never been more important. LOXL3, SNAI1, and NES are key factors in melanoma genesis, regulating tumor growth, metastasis, and cellular differentiation. In our study, we explored the potential role of LOXL3, SNAI1, and NES in melanoma progression and metastasis among patients with dysplastic nevi, melanoma in situ, and BRAF+ and BRAF− metastatic melanoma, using immunofluorescence and qPCR analysis. Our results reveal a significant increase in LOXL3 expression and the highest NES expression in BRAF+ melanoma compared to BRAF−, dysplastic nevi, and melanoma in situ. As for SNAI1, the highest expression was observed in the metastatic melanoma group, without significant differences among groups. We found co-expression of LOXL3 and SNAI1 in the perinuclear area of all investigated subgroups and NES and SNAI1 co-expression in melanoma cells. These findings suggest a codependence or collaboration between these markers in melanoma EMT, suggesting new potential therapeutic interventions to block the EMT cascade that could significantly affect survival in many melanoma patients.

• A new high-speed digital pulse signal acquisition and processing (SAQP) system based on micro telecommunications computing architecture (MTCA) is developed, and realizes the first application of MTCA on EAST. • The new SAQP system is capable to process and transfer data in real time. • Analyzed the characteristics of two trigger detection methods and applied them to baseline restoration, pulse processing and pile-up detection. • The real-time algorithm possesses the capability for real-time baseline restoration, n- γ discrimination, pulse amplitude analysis, pile-up event detection and dynamic pulse recording window for recording entire pulse waveform. Neutron emission spectroscopy (NES) diagnosis is an important technique in high-power thermonuclear fusion experiments for studying fast ions. In the fusion NES measurement on the Experimental Advanced Superconducting Tokamak (EAST), the liquid scintillator detector was employed. This selection was based on the detector's high sensitivity, fast time-response and superior n- γ discrimination properties. In order to meet the demands of high-parameter experiments and fully leverage the diagnostic capabilities, a new signal acquisition and processing (SAQP) system based on Micro-telecommunications computing architecture (MTCA) was developed equipped with real-time processing capabilities. The new SAQP system aims to perform real-time acquisition, processing and storage of neutron and gamma flux data from the NES system, allowing the possibility of maximum count rates of 2 Mcps during the EAST experiment. This paper presents the real-time algorithm implemented on field programmable gate array (FPGA). It possesses the capability for real-time baseline restoration, n- γ discrimination, pulse amplitude analysis, pile-up event detection and dynamic pulse recording window for recording entire pulse waveforms. The new SAQP system, including the integrated real-time algorithm, underwent detailed testing with both a signal generator and a neutron generator. The experimental results indicate that the real-time algorithm successfully achieve all expected functions, enhancing performance in n- γ discrimination and dynamically recording entire pulse waveforms at high count rates without data loss. [ABSTRACT FROM AUTHOR]