Strings with Extrinsic Curvature: An Analysis of the Crossover Regime

We present the results of a set of Monte Carlo simulations of Dynamically Triangulated Random Surfaces embedded in three dimensions with an extrinsic curvature dependent action. We analyze several observables in the crossover regime and discuss whether or not our observations are indicative of the presence of a phase transition.Comment: (Contribution to Lattice 92 Proceedings.) Latex file (5 pages), requires espcrc2.sty. 2 figures not included. Syracuse preprint SU-HEP-4241-52

Variable structure intelligent control for mango drying with air source heat pump

Objective: To improve the energy efficiency of mango drying in the air source heat pump system so as to save energy. Methods: The process of drying mangoes was subdivided, and a variable structure control was used to adjust the temperature and humidity of drying room intelligently and dynamically to improve energy efficiency. Each drying process stage was divided into three parts, namely far away from the conversion point, near the conversion point, and closing to the conversion point. For the first two parts, a constrained nonlinear autoregressive neural network (NARX) with external inputs was used to intelligently adjust the temperature and humidity settings so as to save electricity, while for the third part, a PI controller was used to accurately control the dehumidification amount at the conversion point of the drying process so as to ensure the quality of mango drying. Results: Compared with conventional segmented constant temperature and humidity drying methods, the proposed control method could save 8.63% of electricity with a guaranteed quality of mango drying. Conclusion: The proposed subdivided variable structure control method can significantly improve the energy efficiency of heat pump drying systems, and achieve drying quality similar to conventional segmented constant temperature and humidity methods

The Phase Diagram of Fluid Random Surfaces with Extrinsic Curvature

We present the results of a large-scale simulation of a Dynamically Triangulated Random Surface with extrinsic curvature embedded in three-dimensional flat space. We measure a variety of local observables and use a finite size scaling analysis to characterize as much as possible the regime of crossover from crumpled to smooth surfaces.Comment: 29 pages. There are also 19 figures available from the authors but not included here - sorr

Monte Carlo Simulations of Random Surfaces with Extrinsic Curvature

Random surfaces are of great interest as a model of gravity, but also provide the basis for an exploration of membranes. Many random surface models have been proposed to describe uctuating uid membranes. These models have been extensively studied both analytically and numerically. We analyze numerically the critical properties of two-dimensional discretized random surfaces with extrinsic curvature embedded in a three-dimensional space. We measure a variety of local observables and use a nite size scaling analysis to characterize as much as possible the regime of crossover from crumpled to smooth surfaces. We exclude some possible explanations for the observed cross-over behavior and provide more questions for further study. The computational issues and technical implementations of Dynamically Triangulated Random Surfaces on computers, including parallel computers, are discussed in detail

Optimization of a Dynamic Random Surface Code for RISC Processors

Introduction 1.1 Issues about Computer Hardware and Software With dramatic changes in technology ahead, how do we approach the problem of high-performance architecture design and high-performance engineering and scientific computing? For example, the new technology makes feasible massive parallelism. How much additional effort should be invested in increasing the performance on a single processor before we seek higher levels of performance on multiple processors? There are no simple answer to these questions. The latter is always essential to the first. We need a combination of solutions, and what we choose almost certainly will be application dependent, since at this stage we have not constructed a general machine that would be equally effective for all high performance applications yet. In the past, we have seen many different techniques used in hardware to improve performance, such things as instruction buffers, cache memories, pipelined execution and RISC compute

Multi-objective Interval Optimization of Virtual Power Plant Considering the Uncertainty of Source and Load

As the proportion of electric vehicles and distributed power sources connected to the power grid continues to increase, virtual power plants provide new ideas for effectively solving electric vehicles and distributed power sources connected to the grid. Considering that there are obvious uncertainties in the number of dispatchable electric vehicles and the output of distributed power sources, this paper focuses on the multi-objective interval optimization problem of virtual power plants considering the uncertainty of source load. Based on the analysis of the virtual power plant architecture, aiming at the uncertainty of the source load, a multi-objective interval optimization model of the virtual power plant was established using the interval number theory; in order to verify the validity of the established model, a virtual power plant in a certain area was selected as an example for analysis. The results show that the uncertainty of distributed power sources and electric vehicles can be better avoided in the interval optimization process, and the proposed scheme has strong robustness

Transient appearance of EDTA dependent pseudothrombocytopenia in a patient with 2019 novel coronavirus pneumonia

EDTA dependent pseudothrombocytopenia (EDTA-PCTP) is a phenomenon that characterized by a spurious decrease of platelets in vitro due to the aggregation of platelets in EDTA anticoagulant blood samples. We report the first case of a transient appearance of EDTA-PCTP in a patient with 2019 novel coronavirus pneumonia (COVID-19). A 59-year-old woman was admitted to the isolated ward for severe type of 2019 novel coronavirus pneumonia. At the time of admission, her platelet count was in a normal range. Two days later, her platelet count decreased gradually without any signs or symptoms of bleeding. Since the peripheral blood smear showed a platelet aggregation, a blood sample anticoagulanted with citrate was tested and the number of platelet was normal. The phenomenon disappeared after 17 days when the patient was cured. This case emphasized the importance of peripheral blood smear and clinical manifestation, especially in the differential diagnosis of thrombocytopenia