2-Benzyl-benzofurans from the tubers of Ophiopogon japonicus

Additional file 1. NMR spectra of compounds 1–3

Miko Team: Deep Learning Approach for Legal Question Answering in ALQAC 2022

We introduce efficient deep learning-based methods for legal document processing including Legal Document Retrieval and Legal Question Answering tasks in the Automated Legal Question Answering Competition (ALQAC 2022). In this competition, we achieve 1\textsuperscript{st} place in the first task and 3\textsuperscript{rd} place in the second task. Our method is based on the XLM-RoBERTa model that is pre-trained from a large amount of unlabeled corpus before fine-tuning to the specific tasks. The experimental results showed that our method works well in legal retrieval information tasks with limited labeled data. Besides, this method can be applied to other information retrieval tasks in low-resource languages

Factors Affecting Business Performance and Enhancing Competitiveness for Company in Vietnam - Case of Quang Ngai Agricultural Products and Food JSC

Business performance will be reflected via measures such as stock price, revenues and net profits, etc.To be more competitive and have better performance, there are several factors that affect firm performance which need to be measured. We mainly use combination of quantitative methods (statistics, calculation formulas) with OLS regression and qualitative methods including synthesis, inductive and explanatory methods. The research findings in the case of Quang Ngai Agricultural Products and Food JSC (APF) tell us that For internal factors: R, Rf and CPI has positive correlation with APF stock price. For external factors: exchange rate has more impacts (negative relationship) on stock price. Besides, this study also give out recommendations for enhancing competitiveness and business performance

Structures of 2,5-diaryl- and 2,3,5,6-tetra[3,2-b]thiophene synthesized by the palladium-catalyzed Suzuki-Miyaura cross-coupling reaction

The crystal structures of 2,5-di(ethoxyphenyl)-3,6-dibromothieno[3,2-b]thiophene (I) and 2,5-di(ethoxyphenyl)-3,6-diphenylthieno[3,2-b]thiophene (II) have been studied in order to evaluate the planarity of these molecules. The aromatic systems introduced to the thieno[3,2-b]thiophene core structure show a degree of rotation from 30.94° to 66.56°. The crystal packing of (I) are characterized by π×××π stacking, while in (II), C-H×××p and C-H×××O interactions are observed

The Smooth Trajectory Estimator for LMB Filters

This paper proposes a smooth-trajectory estimator for the labelled multi-Bernoulli (LMB) filter by exploiting the special structure of the generalised labelled multi-Bernoulli (GLMB) filter. We devise a simple and intuitive approach to store the best association map when approximating the GLMB random finite set (RFS) to the LMB RFS. In particular, we construct a smooth-trajectory estimator (i.e., an estimator over the entire trajectories of labelled estimates) for the LMB filter based on the history of the best association map and all of the measurements up to the current time. Experimental results under two challenging scenarios demonstrate significant tracking accuracy improvements with negligible additional computational time compared to the conventional LMB filter. The source code is publicly available at https://tinyurl.com/ste-lmb, aimed at promoting advancements in MOT algorithms.Comment: 6 pages, 5 figures. Presented at The 12th IEEE International Conference on Control, Automation and Information Sciences (ICCAIS 2023), Nov 2023, Hanoi, Vietna

User-Generated Content, Online Trust, and Purchase Intention: An Empirical Study of Social Commerce Platforms

Purpose: User-generated content (UGC) affected consumer trust and purchasing intention in social commerce platforms. It evaluated the growing influence of user-generated content on online consumer behavior and how online trust mediates the association between UGC and purchase intention. This study intended to understand how different types of UGC affect consumer trust and buy intentions, moving beyond previous studies\u27 focus on individual UGC parts. Methods: A quantitative study design was utilized, employing Partial Least Squares Structural Equation Modeling (PLS-SEM). Data were gathered via an online survey disseminated among persons in Vietnam who regularly engage with social commerce platforms. The questionnaire employed established multi-item scales derived from previous research to assess UGC, online trust, and buy intention. Findings: The findings demonstrated that user-generated content favorably impacted online trust, which subsequently enhanced purchase intention. UGC is essential for establishing trust and influencing purchasing decisions in social commerce. The model elucidated a significant variance in online trust and purchasing intention. Originality: This study shows how trust mediates the relationship between UGC and buy intention in social commerce, improving understanding of online consumer behavior. It stresses the importance of good UGC for consumer trust and purchase intention, giving valuable data for social commerce platforms and marketers. Future research may examine these findings in different cultures and examine other factors affecting consumer trust and purchase intention