ABSTRACT
For humans, the COVID-19 pandemic and Coronavirus have undeniably been a nightmare. Although there are effective vaccines, specific drugs are still urgent. Normally, to identify potential drugs, one needs to design and then test interactions between the drug and the virus in an in silico manner for determining candidates. This Drug-Target Interaction (DTI) process, can be done by molecular docking, which is too complicated and time-consuming for manual works. Therefore, it opens room for applying Artificial Intelligence (AI) techniques. In particular, Graph Neural Network (GNN) attracts recent attention since its high suitability for the nature of drug compounds and virus proteins. However, to introduce such a representation well-reflecting biological structures of biological compounds is not a trivial task. Moreover, since available datasets of Coronavirus are still not highly popular, the recently developed GNNs have been suffering from overfitting on them. We then address those issues by proposing a novel model known as Atom-enhanced Graph Neural Network with Multi-hop Gating Mechanism. On one hand, our model can learn more precise features of compounds and proteins. On the other hand, we introduce a new gating mechanism to create better atom representation from non-neighbor information. Once applying transfer learning from very large databanks, our model enjoys promising performance, especially when experimenting with Coronavirus. © 2022 IEEE.
ABSTRACT
Currently, many applications of information search tourism are limited in the COVID-19 pandemic using a search engine. However, most application service online has not supported directly, matching end users with their preferences to find suitable tourist places. This paper has presented a proposed model using the Context Matching algorithm mostly based on the Smartphones;matching with user’s preferences and behaviors allows users to find tourism packages and regions. The experimental results show that the proposed model achieves significant improvements in matching user preferences for the domain under dynamic uncertainty. We posit that our novel approach holds the prospect of improvements in user preferences for tourism and weather in the COVID-19 Pandemic. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
In search for a solution of a sustainable construction with less impact on environment while maintaining a sufficient structural performance, CLT-concrete composite slabs/beams have been increasingly proposed for medium-to-large span structures. Different types of mechanical shear connectors have been studied in the literature for these composite elements. Among them, the notch type is the most preferable due to the high shear resistance contributed by the concrete. However, steel screw or bolt is needed in the connector to limit the uplift between the timber and the concrete. In this paper, a novel type of notched connectors with a particular shape that is able to limit the uplift without the need for steel bolts is proposed. The main objective of this paper is to determine the local and global behaviours of this new shear connector by experimental investigations. Two series of experimental tests were ordered by Thierry Soquet, an architect of Architecture Plurielle and an inventor of innovative construction systems directed by Horizon Bois. A series of three symmetrical push-out tests were performed on large-scale specimens in order to determine the shear resistance, the stiffness, the deformation capacity and the failure mode of the connector. The test results have shown high shear resistance and large stiffness of the connectors. However, the ductility of the connectors is still limited, as the failure mode was governed by the shear failure of the transverse layer of the CLT. In addition, the global behaviour of the CLT-concrete slab was assessed by a series of two full-scaled flexural tests on the slab specimens under a positive bending moment. It was shown in the test results that the design of the composite slab was not limited by the flexural bearing capacity as a high value of the maximum bending moment was obtained in the tests, but governed by the deflection of the composite slab. The delay in the tests caused by the Covid crisis has moreover set in evidence the importance of the shrinkage of concrete in the total deflection. © Fédération Internationale du Béton (fib) – International Federation for Structural Concrete.
ABSTRACT
Recently, COVID-19 pandemic has increasingly affected the lives of the world population. Researchers have investigated various ways including conventional approach about the transmission routes of COVID-19 persons. However, it is difficult to track COVID-19 in real-time at anywhere. The paper has presented a novel approach using Self Organizing Maps with Picture Fuzzy Sets for tracking COVID-19 persons. The proposed clustering model has been grouped records of COVID-19 persons together with these rules in order to find similar features of COVID-19 person in large data sets. To confirm the effectiveness of this model, experimental results show that the proposed model has demonstrated by using SOM integrated with these rules for tracking COVID-19 persons. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
This paper endeavors to understand the research landscape of finance research in Vietnam during the period 2008 to 2020 and predict the key defining future research directions. Using the comprehensive database of Vietnam's international publications in social sciences and humanities, we extract a dataset of 314 papers on finance topics in Vietnam from 2008 to 2020. Then, we apply a systematic approach to analyze four important themes: Structural issues, Banking system, Firm issues, and Financial psychology and behavior. Overall, there have been three noticeable trends within finance research in Vietnam: (1) assessment of financial policies or financial regulation, (2) deciphering the correlates of firms' financial performances, and (3) opportunities and challenges in adopting innovations and ideas from foreign financial market systems. Our analysis identifies several fertile areas for future research, including financial market analysis in the post-COVID-19 eras, fintech, and green finance.