A Study on the Status Quo and Reconstruction Paths for Ecological Imbalance in College English Classroom under the Background of Informationization --Taking Yunnan Minzu University as an Example

Based on the theory of educational ecology this paper starts to analyze the status quo of the imbalance in college English classroom of Yunnan Minzu University YMU under the background of informationization attempts to put forward three principles abided in the process of reconstruction then mainly focuses on the reconstruction paths for the college English classroom ecology so as to provide some new ideas for the reform in college English and eventually contributes to the sustainable development of the college English classroom ecolog

The Application of WeChat in College English Teaching in Yunnan

With the widespread promotion and application of the Internet and mobile devices, the WeChat platform has become more and more involved and used in the teaching process due to its fast, convenient and efficient features. This paper mainly analyzes the advantages of feasibility and convenience of WeChat platform in teaching, and focuses on the application form of WeChat in college English teaching, and puts forward teaching strategies suitable for college English teaching in ethnic colleges and universities, so as to enrich English teaching resources and methods, make up for the shortcomings in traditional teaching and comprehensively improve teaching quality, promote the reform of college English teaching and explore an adaptive teaching mode suitable for college English in ethnic colleges and universities

Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting

Query rewriting plays a vital role in enhancing conversational search by transforming context-dependent user queries into standalone forms. Existing approaches primarily leverage human-rewritten queries as labels to train query rewriting models. However, human rewrites may lack sufficient information for optimal retrieval performance. To overcome this limitation, we propose utilizing large language models (LLMs) as query rewriters, enabling the generation of informative query rewrites through well-designed instructions. We define four essential properties for well-formed rewrites and incorporate all of them into the instruction. In addition, we introduce the role of rewrite editors for LLMs when initial query rewrites are available, forming a "rewrite-then-edit" process. Furthermore, we propose distilling the rewriting capabilities of LLMs into smaller models to reduce rewriting latency. Our experimental evaluation on the QReCC dataset demonstrates that informative query rewrites can yield substantially improved retrieval performance compared to human rewrites, especially with sparse retrievers.Comment: 22 pages, accepted to EMNLP Findings 202

The progenitors of type Ia supernovae in the semidetached binaries with red giant donors

Context. The companions of the exploding carbon-oxygen white dwarfs (CO WDs) for producing type Ia supernovae (SNe Ia) are still not conclusively confirmed. A red-giant (RG) star has been suggested to be the mass donor of the exploding WD, named as the symbiotic channel. However, previous studies on the this channel gave a relatively low rate of SNe Ia. Aims. We aim to systematically investigate the parameter space, Galactic rates and delay time distributions of SNe Ia from the symbiotic channel by employing a revised mass-transfer prescription. Methods. We adopted an integrated mass-transfer prescription to calculate the mass-transfer process from a RG star onto the WD. In this prescription, the mass-transfer rate varies with the local material states. Results. We evolved a large number of WD+RG systems, and found that the parameter space of WD+RG systems for producing SNe Ia is significantly enlarged. This channel could produce SNe Ia with intermediate and old ages, contributing to at most 5% of all SNe Ia in the Galaxy. Our model increases the SN Ia rate from this channel by a factor of 5. We suggest that the symbiotic systems RS Oph and T CrB are strong candidates for the progenitors of SNe Ia.Comment: 8 pages, 6 figure

New Approaches in Multi-View Clustering

Many real-world datasets can be naturally described by multiple views. Due to this, multi-view learning has drawn much attention from both academia and industry. Compared to single-view learning, multi-view learning has demonstrated plenty of advantages. Clustering has long been serving as a critical technique in data mining and machine learning. Recently, multi-view clustering has achieved great success in various applications. To provide a comprehensive review of the typical multi-view clustering methods and their corresponding recent developments, this chapter summarizes five kinds of popular clustering methods and their multi-view learning versions, which include k-means, spectral clustering, matrix factorization, tensor decomposition, and deep learning. These clustering methods are the most widely employed algorithms for single-view data, and lots of efforts have been devoted to extending them for multi-view clustering. Besides, many other multi-view clustering methods can be unified into the frameworks of these five methods. To promote further research and development of multi-view clustering, some popular and open datasets are summarized in two categories. Furthermore, several open issues that deserve more exploration are pointed out in the end

Research and Application on a Novel Clustering Algorithm of Quantum Optimization in Server Load Balancing

A quantum optimization scheme in network cluster server task scheduling is proposed. We explore and research the distribution theory of energy field in quantum mechanics; specially, we apply it to data clustering. We compare the quantum optimization method with genetic algorithm (GA), ant colony optimization (ACO), simulated annealing algorithm (SAA). At the same time, we prove its validity and rationality by analog simulation and experiment

A circular economy approach by co-gasification of water hyacinth and algae bloom for high-quality biochar production

Water hyacinth is of interest for biochar production due to its high biomass yields, high carbon content and environmental benefits of carbon sequestration and pollutants removal. Gasification technology has attracted considerable attention to design a renewable biochar production process to be performed on a larger scale for both separation and immobilization of contaminants from water hyacinth and the production of energy and multifunctional materials. The concept of the circular economy has become popular since it is a solution that will allow countries, firms and consumers to reduce harm to the environment and to close the loop of the product lifecycle through three main approaches of reusing, reducing and recycling materials, energy and waste. This study is focused on the sustainable management of water hyacinth biomass via gasification (300-900˚C) to high-value products of biochar, bio-oil and syngas, from the perspective of energy consumption, heat reduction and recycling, emissions to the air and residues in the biochar based on circular economy towards environmental sustainability. The objective is to compare two different types of processes of mono-gasification and co-gasification for environmental, economic and social benefits. The environment, economy and society are inter-related to highlight the new insights for the biochar utilization and resonate with phytobioremediation strategy. The process is based on lab-scale gasifiers/pyrolyzers and a functional unit of a 20KW downdraft gasifier. In our previous experience, we have successfully converted waste biomass from horse manure in Singapore Turf Club to syngas and biochar in the downdraft gasifier. In this study, an equipment level of optimization is implemented for best-operating conditions to improve energy efficiency. In the first process of mono-gasification, biochar is produced from water hyacinth. The alternative to this method is co-gasification, where biochar is now produced with addition of algae bloom. The cost-benefit analysis and life cycle analysis demonstrate the difference in sustainability between these two processes, which offers a higher understanding of biochar production and hence determine which method would be the preferable sustainable practice. It is expected that the co-gasification process could increase the syngas, heat and energy production with high-quality biochar production. One of the major challenges is to guarantee the water hyacinth resources are conserved and used efficiently and affordably

Central Government's Infrastructure Investment across Chinese Regions: A Dynamic Spatial Panel Data Approach

This study employs spatial panel techniques to examine determinants of regional allocation of infrastructure investment made by the central government. Using a sample of 31 Chinese provinces over the 2001-2008 period, we derived four major empirical findings. First, there exist substantial spatial interactions of central government's investment across regions. Second, the central investment exhibits a highly persistent effect. Third, the central government attempts to balance equity and efficiency in its decision-making. Last, the political factor plays a significant role in the regional infrastructure investment