On the talent training mode of “new engineering” in local undergraduate colleges

Funding  source: Research on talent training mode of "new engineering" in local undergraduate colleges and universities (project code: 2019SJA2197) Abstract: With the development of China's new economy and emerging industries, new engineering construction comes into being. Facing the construction of new engineering, local undergraduate colleges and universities should deeply understand their own development trend, clarify the training mode of new engineering talents, and take the adjustment of specialty setting guided by regional industrial demand, the innovation of talent training mode based on the consensus of coordinated development, and the improvement of talent training quality as the main measures for local undergraduate colleges and universities to cultivate new engineering talents Key words: local; New engineering; Talent training mode DOI: 10.7176/JEP/12-33-15 Publication date: November 30th 202

Analysis on Factors Affecting Performance of Indexing Investment

This article analyzes the current status of indexing investment performance in China and the characteristics of fund managers and fund management companies. It also theoretically analyzes the influence of these factors on indexing investment performance in terms of fund governance structure, characteristics of fund managers and fund companies, stock selection ability and timing ability. Next, it uses multiple regression analysis from three dimensions mentioned above to verify the influencing factors on investment performance. The results show that in terms of passive investment, fund tracking error is significantly negatively correlated with institutional holdings and fund managers’ stock selection ability, and significantly positively correlated with fund managers’ timing ability. Female fund managers’ tracking errors are smaller. Institutional investors play a positive role in promoting the performance of active investment. The fund manager’s stock selection ability can effectively reduce the fund’s sensitivity to target index fluctuations, and the fund manager’s timing ability can significantly improve the performance of fund allocation. Funds allocated by female fund managers will be less sensitive to target index fluctuations. Keywords: indexing investment, performance, fund management, fund managers DOI: 10.7176/RJFA/12-22-01 Publication date: November 30th 202

Behavior Characteristics of Indexing Investment Entities

Based on the characteristics of investor behavior, this article analyzes the impact of institutional investors and investor sentiment on the liquidity, profitability and stability of the capital market, and analyzes the impact of investor overreaction on the market. Through multiple regression analysis, it is verified that the holding ratio of institutional investors has a significantly negative relationship with the turnover rate of funds, and it has a positive relationship with the annual rate of return of the fund and the annual volatility of the fund. Investor sentiment shows a positive correlation with the turnover rate of funds, the yield of the fund and the volatility of the fund. Through quantile regression, it is found that when the volatility of an index is at a high level, it is more susceptible to the negative impact of the previous trading volume. Keywords: behaviour characteristics, indexing investment, investor sentiment, capital market DOI: 10.7176/EJBM/13-22-01 Publication date: November 30th 202

The dimensionality of the epistemic orientation survey and longitudinal measurement invariance for the short form of EOS (EOS-SF)

The dimensionality of the epistemic orientation survey (EOS) was examined across four occasions with item factor analysis (IFA). Because of an emphasis on the knowledge generation of epistemic orientation (EO), four factors were selected and built into a short form of EOS (EOS-SF) including knowledge generation, knowledge replication, epistemic nature of knowledge, and student ability. To track the stability of the factor structure for each factor of EOS-SF, longitudinal invariance models were conducted. Partial measurement invariance was obtained for each of the four factors of EOS-SF. This study provides an example of ongoing instrument development in the field of applied assessment research

Improving fast align by reordering,”

Abstract fast align is a simple, fast, and efficient approach for word alignment based on the IBM model 2. fast align performs well for language pairs with relatively similar word orders; however, it does not perform well for language pairs with drastically different word orders. We propose a segmenting-reversing reordering process to solve this problem by alternately applying fast align and reordering source sentences during training. Experimental results with JapaneseEnglish translation demonstrate that the proposed approach improves the performance of fast align significantly without the loss of efficiency. Experiments using other languages are also reported

TriECCC: Trilingual Corpus of the Extraordinary Chambers in the Courts of Cambodia for Speech Recognition and Translation Studies

This paper presents an extended work on the trilingual spoken language translation corpus of the Extraordinary Chambers in the Courts of Cambodia (ECCC), namely TriECCC. TriECCC is a simultaneously spoken language translation corpus with parallel resources of speech and text in three languages: Khmer, English, and French. This corpus has approximately [Formula: see text] thousand utterances, approximately [Formula: see text], [Formula: see text], and [Formula: see text] h in length of speech, and [Formula: see text], [Formula: see text] and [Formula: see text] million words in text, in Khmer, English, and French, respectively. We first report the baseline results of machine translation (MT), and speech translation (ST) systems, which show reasonable performance. We then investigate the use of the ROVER method to combine multiple MT outputs and fine-tune the pre-trained English–French MT models to enhance the Khmer MT systems. Experimental results show that the ROVER is effective for combining English-to-Khmer and French-to-Khmer systems. Fine-tuning from both single and multiple parents shows the effective improvement on the BLEU scores for Khmer-to-English/French and English/French-to-Khmer MT systems

A Quick and Parallel Analytical Method Based on Quantum Dots Labeling for ToRCH-Related Antibodies

Quantum dot is a special kind of nanomaterial composed of periodic groups of II–VI, III–V or IV–VI materials. Their high quantum yield, broad absorption with narrow photoluminescence spectra and high resistance to photobleaching, make them become a promising labeling substance in biological analysis. Here, we report a quick and parallel analytical method based on quantum dots for ToRCH-related antibodies including Toxoplasma gondii, Rubella virus, Cytomegalovirus and Herpes simplex virus type 1 (HSV1) and 2 (HSV2). Firstly, we fabricated the microarrays with the five kinds of ToRCH-related antigens and used CdTe quantum dots to label secondary antibody and then analyzed 100 specimens of randomly selected clinical sera from obstetric outpatients. The currently prevalent enzyme-linked immunosorbent assay (ELISA) kits were considered as “golden standard” for comparison. The results show that the quantum dots labeling-based ToRCH microarrays have comparable sensitivity and specificity with ELISA. Besides, the microarrays hold distinct advantages over ELISA test format in detection time, cost, operation and signal stability. Validated by the clinical assay, our quantum dots-based ToRCH microarrays have great potential in the detection of ToRCH-related pathogens

Empirical Dependency-Based Head Finalization for Statistical Chinese-, English-, and French-to-Myanmar (Burmese) Machine Translation

Abstract We conduct dependency-based head finalization for statistical machine translation (SMT) for Myanmar (Burmese). Although Myanmar is an understudied language, linguistically it is a head-final language with similar syntax to Japanese and Korean. So, applying the efficient techniques of Japanese and Korean processing to Myanmar is a natural idea. Our approach is a combination of two approaches. The first is a head-driven phrase structure grammar (HPSG) based head finalization for English-to-Japanese translation, the second is dependency-based pre-ordering originally designed for English-to-Korean translation. We experiment on Chinese-, English-, and French-to-Myanmar translation, using a statistical pre-ordering approach as a comparison method. Experimental results show the dependency-based head finalization was able to consistently improve a baseline SMT system, for different source languages and different segmentation schemes for the Myanmar language