清代越南使節於中國廣東的文學活動 : 兼為《越南漢文燕行文獻集成》進行補充

17—19世紀，廣東與越南一直有很密切的文學交流，其中19世紀内奉派到北京難得途經廣東的燕行使，以及直接到廣東公幹的越南派員，都扮演著十分重要的腳色。本文廣搜清代越南使節潘輝益、武輝瑨、段波、阮提、吳仁静、鄭懷德、李文馥、汝伯仕、范富庶、潘輝泳、范芝香、鄧輝躇、范慎逋、阮述等人在廣東（以廣州爲主，兼及佛山等地）與港澳地區活動的漢字文獻記録，以掌握這些越南使節們在廣東購書、刻書的經過，及其與諸多廣東文人的交往互動情況，藉以從“他者”的角度重現中越文學交流的若干真相，豐富嶺南文學發展史的内涵，並兼爲中越合作出版的《越南漢文燕行文獻集成（越南所藏編）》進行補充

Regulation studies on human pyruvate kinases

Human pyruvate kinase performs the last step in glucose glycolysis in all cells and organisms and can be a key regulator of glycolytic flux. Pyruvate produced by PYK is transported into the mitochondria to fuel the TCA cycle, which enables the production of ATP; the main energy source of the cell. Human PYK contains four isoforms: M1 (found in muscle, heart and brain), M2 (in foetal cells and tumours), L (liver), and R (red blood cells) PYK. M2PYK plays a crucial role in tumour cell proliferation; by down-regulating metabolic flux, upstream metabolites can be used for protein and DNA synthesis. Reprogramming the metabolism of fast proliferating cells is called the ‘Warburg effect’. The biological relevance of the different isoform activities is also discussed. For example RPYK in red blood cells is exposed to slowly altering metabolite concentrations, especially after intestinal absorption in plasma and RBCs uptake some of the metabolites. This thesis describes biochemical and biophysical studies of human M1PYK, M2PYK, LPYK, and RPYK. PYK is allosterically regulated by a range of metabolites. A comparative enzyme kinetics study of the four isoforms was performed to examine the mechanisms of activation and inhibition of these small molecule regulators, including all 20 amino acids and the thyroid hormone T3. The redox state of the environment was also found to be an important regulator of PYK activity. All four PYK isoforms were successfully expressed and purified. Interestingly, only M2PYK and RPYK were strongly regulated by amino acids and metabolites. We also found that the redox state regulates the activity of all four PYK isoforms as well as the sensitivity of M2PYK in response to natural regulators. These studies also confirmed the dissociation of tetrameric PYK into inactive monomers as an important mechanism of regulation, particularly for M2PYK activity. Nuclear magnetic resonance (NMR) and Small-angle X-ray scattering (SAXS) studies were performed to investigate the conformational behaviour of PYK isoforms in solution and to compare the effects of ligand binding. NMR data of all four isoforms reveal a conserved binding mechanism between isoforms and specific amino acids. SAXS data of all four isoforms demonstrate that ligands affect tetramerisation of PYK isoforms

Optimal Trajectories for the Helicopter in One-Engine-Inoperative Terminal-Area Operations

This paper presents a summary of a series of recent analytical studies conducted to investigate One-Engine-Inoperative (OEI) optimal control strategies and the associated optimal trajectories for a twin engine helicopter in Category-A terminal-area operations. These studies also examine the associated heliport size requirements and the maximum gross weight capability of the helicopter. Using an eight states, two controls, augmented point-mass model representative of the study helicopter, Continued TakeOff (CTO), Rejected TakeOff (RTO), Balked Landing (BL), and Continued Landing (CL) are investigated for both Vertical-TakeOff-and-Landing (VTOL) and Short-TakeOff-and-Landing (STOL) terminal-area operations. The formulation of the nonlinear optimal control problems with considerations for realistic constraints, solution methods for the two-point boundary-value problem, a new real-time generation method for the optimal OEI trajectories, and the main results of this series of trajectory optimization studies are presented. In particular, a new balanced- weight concept for determining the takeoff decision point for VTOL Category-A operations is proposed, extending the balanced-field length concept used for STOL operations

Predicting of Post-merger Performance of US Banking Industry

This paper investigates the ability of neural network models to predict the post-merger performance of mergers and acquisitions (M&As) in US banking industry. As we known, this is probably the first empirical study applying neural networks in this topic. The aim is to offer an alternative tool for making M&A decision from the view of potential synergy effect and improve the rate of success on M&As deals. This study first provides a detailed discuss from synergy effect and strategic fit. It then develops and compares the forecasting performance of regression and neural network models. The results show that the ability of neural network models to catch nonlinear relationships and complex interactions between amounts of data and factors is potentially fruitful for evaluating M&As synergy effect. However, neural networks have been criticised as not human understandable for being a black box. To solve this problem, sensitivity analysis is used to explore the relationship between independent variables and dependent variables

Predicting Post-merger Performance of US Banking Industry

This paper investigates the ability of neural network models to predict the post-merger performance of mergers and acquisitions (M&As) in US banking industry. As we known, this is probably the first empirical study applying neural networks in this topic. The aim is to offer an alternative tool for making M&A decision from the view of potential synergy effect and improve the rate of success on M&As deals. This study first provides a detailed discuss from synergy effect and strategic fit. It then develops and compares the forecasting performance of regression and neural network models. The results show that the ability of neural network models to catch nonlinear relationships and complex interactions between amounts of data and factors is potentially fruitful for evaluating M&As synergy effect. However, neural networks have been criticised as not human understandable for being a black box. To solve this problem, sensitivity analysis is used to explore the relationship between independent variables and dependent variables

Intrinsic spin-orbit torque mechanism for deterministic all-electric switching of noncollinear antiferromagnets

Using a pure electric current to control kagome noncollinear antiferromagnets is promising in information storage and processing, but a full description is still lacking, in particular, on intrinsic (i.e., no external magnetic fields or external spin currents) spin-orbit torques. In this work, we self-consistently describe the relations among the electronic structure, magnetic structure, spin accumulations, and intrinsic spin-orbit torques, in the magnetic dynamics of a noncollinear antiferromagnet driven by a pure electric current. Our calculation can yield a critical current density comparable with those in the experiments, when considering the boost from the out-of-plane magnetic dynamics induced by the current-driven spin accumulation on individual magnetic moments. We stress the parity symmetry breaking in deterministic switching among magnetic structures. This work will be helpful for future applications of noncollinear antiferromagnets.Comment: 5 pages, 4 figure

Cybernetic basis and system practice of remote sensing and spatial information science

Cybernetics provides a new set of ideas and methods for the study of modern science, and it has been fully applied in many areas. However, few people have introduced cybernetics into the field of remote sensing. The paper is based on the imaging process of remote sensing system, introducing cybernetics into the field of remote sensing, establishing a space-time closed-loop control theory for the actual operation of remote sensing. The paper made the process of spatial information coherently, and improved the comprehensive efficiency of the space information from acquisition, procession, transformation to application. We not only describes the application of cybernetics in remote sensing platform control, sensor control, data processing control, but also in whole system of remote sensing imaging process control. We achieve the information of output back to the input to control the efficient operation of the entire system. This breakthrough combination of cybernetics science and remote sensing science will improve remote sensing science to a higher level

Effects of Different Additives Combined with Vacuum Permeation Treatment on the Stability of Myofibrillar Proteins from Peeled Shrimps during Frozen Storage

Shelled shrimps (Penaeus vannamei) vacuum-treated with sodium pyrophosphate, sodium tripolyphosphate, trehalose, alginate oligosaccharide or carrageenan oligosaccharide solutions were stored at −18 ℃ and evaluated for thawing loss, thermodynamic properties, myofibril protein content, Ca2+-ATPase activity, and surface hydrophobicity of myofibril proteins after 0, 30, 60 and 90 days and molecular mass distribution of proteins after 90 days. Our aim was to investigate the effect of different additives combined with vacuum permeation treatment on the stability of myofibrillar proteins from peeled shrimps. The results showed that compared with distilled water, vacuum treatment with each of the five additives effectively reduced the thawing loss of frozen shrimp muscle, improved the low-temperature stability of myofibrillar proteins, and inhibited their freeze denaturation. Among these additive, trehalose, alginate oligosaccharide and carrageenan oligosaccharide had more significant cryoprotective effects. This study can provide a basis for the research and utilization of natural antifreeze agents, and also provide a scientific basis for the processing of new shrimp products