Analysis on the Construction Path of “Golden Course” of International Commercial Law in International Trade Major from the New Liberal Arts Perspective

Under the background of “new liberal arts”, curriculum innovation and development become an important way to improve the quality of talent training. Therefore, the construction of “golden course” as a breakthrough is the focus of talent training and professional development in undergraduate colleges. Based on the analysis of the necessity of constructing the “golden course” of International Commercial Law in international trade major from the perspective of new liberal arts and the existing problems in course construction, this paper constructs the “five-in-one” teaching mode of “Golden Course” of International Commercial Law in international trade major by combining the teaching idea of “pre-class + after-class + in-class”, and explores the cultivation path of foreign trade law compound talents. To cultivate high-quality practical foreign trade talents who meet the needs of the construction of a trade power and the development of the country and society

DETERMINATION OF SERUM ALBUMIN WITH TRIBROMOARSENAZO BY SPECTROPHOTOMETRY

The reaction of tribromoarsenazo(TB-ASA) with serum albumin in the presence of emulgent OP was studied by spectrophotometry. In a Britton-Robinson buffer solution at pH 2.9, tribromoarsenazo and bovine serum albumin can immediately form a red compound in the presence of emulgent OP with a maximum absorption wavelength at 354 nm. The presence of emulgent OP can increase the reaction sensitivity and the compound stability. The molar absorptivity of the compound is ε354 nm = 6.13 x 105 M-1•cm-1. Beer's law is obeyed over the range of 5.0-75.0 mg•L-1 for bovine serum albumin. The present method was applied to the determination of the total proteins in human serums with satisfactory results. KEY WORDS: Serum albumin, Tribromoarsenazo, Emulgent OP, Human serums, Spectrophotometry Bull. Chem. Soc. Ethiop. 2007, 21(2), 291-296

(Bis{2-[3-(2,4,6-trimethyl­benz­yl)imid­azolin-2-yliden-1-yl-κC 2]-4-methyl­phenyl}amido-κN)chloridopalladium(II)

The coordination geometry about the Pd centre in the title compound, [Pd(C40H42N5)Cl], is approximately square-planar. The CNC pincer-type N-heterocyclic carbene ligand binds to the Pd atom in a tridentate fashion by the amido N atom and the two carbene atoms and generates two six-membered chelate rings, completing the coordination

Finite-time synchronisation of neural networks with discrete and distributed delays via periodically intermittent memory feedback control

In this paper, finite-time synchronization between two chaotic systems with discrete and distributed delays is investigated by using periodically intermittent memory feedback control. Based on finite-time stability theory, some novel and effective synchronization criteria of intermit- tent control are derived by means of linear matrix inequalities (LMIs) and differential inequality techniques. Furthermore, a necessary condition of finite-time synchronization of intermittent con- trol is given for neural networks with discrete and distributed delays. A numerical example on two chaotic neural networks shows the effectiveness and correctness of the derived theoretical results. In addition, a secure communication synchronization problem is presented to demonstrate practical effectiveness of the proposed method.National Natural Science Foundation of China (Grant No. 61273183, No. 61374028 and No. 61374085).http://www.ietdl.orgIET-CTAhb2016Electrical, Electronic and Computer Engineerin

Preliminary study on the immunology pathogenesis of ocular myasthenia gravis in children

AIM: To discuss the role of humoral immunity and cellular immunity in the development of ocular myasthenia gravis in children by analyzing the clinical value of the indices including immunoglobulin, complement and T cell subgroup in peripheral blood. <p>METHODS: The concentrations of serum IgG, IgA, IgM, C3 and C4 in the myasthenia gravis group and the control group were detected by immune compare turbid. The contents of CD3⁺T cell, CD4⁺T cell and CD8⁺T cell were detected by flow cytometry. Data was analyzed by Independent-Sample Test.<p>RESULTS: There were no significant differences in contents of IgA, IgM, CD3⁺T cell, CD8⁺T cell between ocular myasthenia gravis group in children and the control group(<i>P</i>>0.05). The concentrations of serum IgG, C3 and C4 for myasthenia gravis group were lower than those of the control group(<i>P</i><0.05). The content of CD4⁺T cell were higher than those of the control group(<i>P</i><0.05).<p>CONCLUSION: Complement C3, C4 and CD4⁺T cell played an important role in immunology pathogenesis mechanism for ocular myasthenia gravis in children

Routing Optimization of Intelligent Vehicle in Automated Warehouse

Routing optimization is a key technology in the intelligent warehouse logistics. In order to get an optimal route for warehouse intelligent vehicle, routing optimization in complex global dynamic environment is studied. A new evolutionary ant colony algorithm based on RFID and knowledge-refinement is proposed. The new algorithm gets environmental information timely through the RFID technology and updates the environment map at the same time. It adopts elite ant kept, fallback, and pheromones limitation adjustment strategy. The current optimal route in population space is optimized based on experiential knowledge. The experimental results show that the new algorithm has higher convergence speed and can jump out the U-type or V-type obstacle traps easily. It can also find the global optimal route or approximate optimal one with higher probability in the complex dynamic environment. The new algorithm is proved feasible and effective by simulation results

Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning

Large language models have shown astonishing performance on a wide range of reasoning tasks. In this paper, we investigate whether they could reason about real-world events and help improve the prediction performance of event sequence models. We design LAMP, a framework that integrates a large language model in event prediction. Particularly, the language model performs abductive reasoning to assist an event sequence model: the event model proposes predictions on future events given the past; instructed by a few expert-annotated demonstrations, the language model learns to suggest possible causes for each proposal; a search module finds out the previous events that match the causes; a scoring function learns to examine whether the retrieved events could actually cause the proposal. Through extensive experiments on several challenging real-world datasets, we demonstrate that our framework -- thanks to the reasoning capabilities of large language models -- could significantly outperform the state-of-the-art event sequence models.Comment: NeurIPS 2023 camera-read