Inadvertent Treatment of a Vertical Banded Gastroplasty Stricture With a LAMS for Two Years

Introduction: Lumen-apposing metal stents (LAMS) are innovative endoscopic devices representing the next significant advancement in stent technology. LAMS have demonstrated success, most notably with improving drainage of pancreatic fluid collections. Other clinical indications for using LAMS include biliary drainage, gastroenterostomy, or the managment of luminal tract strictures. The stent has a larger lumen diameter than previously created stents as well as a unique "dumbbell" shape to limit migration. Studies have demonstrated advantages such as shorter procedure times and overall reduced repeat endoscopic procedures. As LAMS has gained notoriety, there have been increasing studies demonstrating potential complications of the device. Most common consequences of LAMS include bleeding, biliary stricture, and buried LAMS syndrome. As the anatomical design has decreased migration risk, prompt removal is recommended to prevent buried LAMS syndrome, where the stent is embedded in the wall of the gastric mucosa and can eventually not be visualized endoscopically. In this case, we will present a patient with an endoscopically placed LAMS, which was successfully removed with minimal complications after two years in place. Case Description/Methods: Our patient is a 68 year old female with a Vertical Banded Gastroplasty Stricture. She had required multiple repeat endoscopies for dilation therapy but the stricture was refractory to dilation, as a result, she underwent LAMS placement Due to the onset of the COVID pandemic, patient was lost to follow up. On a repeat EGD two years after placement, the stent remained in its original location. There were signs of mild gastric tissue overgrowth at the right lateral side of the LAMS. The stent was then removed easily with no signs of bleeding. After removal, the stricture remained dilated as the scope could be passed without difficulty. Over course of COVID she ate better than she had in years. (Figure) Discussion: LAMS have demonstrated significant success in a variety of endoscopic interventions. Their potential complications are well documented in various studies. This case is unique in regards to the length of time in which the LAMS remained in position. From a literature review, no study has demonstrated a LAMS in place as long as two years for stricture management. More remarkable is the lack of complications from the stent such as no bleeding with removal and no true buried LAMS syndrome as there was minimal tissue overgrowth. (Figure Presented).

Bank provisioning practice during the pandemic: evidence from the COVID-19 outbreak

We investigate whether, and to what extent, banks exploit their discretion over loan loss provisions to achieve their management purposes during the pandemic. Using a sample of US banks during the current COVID-19 outbreak, we find that banks are more eager to use discretionary loan loss provisions in response to the worsening pandemic situation. We find in particular that banks use discretionary loan loss provisions to manage regulatory capital, smooth income and signal private information to outsiders. Overall, this paper enriches the literature on bank discretionary behaviour during the difficult time, especially during the current COVID-19 pandemic, and therefore, it has important implications for banking supervisor and bank stakeholders.

Agricultural Supply Chain Risks Evaluation with Spherical Fuzzy Analytic Hierarchy Process

The outbreak of the COVID-19 pandemic has impacted the development of the global economy. As most developing and third world countries are heavily dependent on agriculture and agricultural imports, the agricultural supply chains (ASC) in all these countries are exposed to unprecedented risks following COVID-19. Therefore, it is vital to investigate the impact of risks and create resilient ASC organizations. In this study, critical risks associated with ASC were assessed using a novel Analytical Hierarchy Process based on spherical fuzzy sets (SF-AHP). The findings indicated that depending on the scope and scale of the organization, supply risks, demand risks, financial risks, logistics and infrastructure risks, management and operational risks, policy and regulatory risks, and biological and environmental risks all have a significant impact on ASC. This research highlighted that themost significant criterion is specified as Transportation (TP), followed by Market (MA) and Policy (PO), respectively. Meanwhile, Technology (TL) is the least significant criterion. The study's findings can help managers with a holistic view of the agriculture supply chain risk mitigation. Furthermore, this study may assist managers in sharing information about the processing of agricultural products from top to bottom to manage risk in the supply chain.

A Hybrid Grey DEMATEL and PLS-SEM Model to Investigate COVID-19 Vaccination Intention

The main objective of this study is to comprehensively investigate individuals' vaccination intention against COVID-19 during the second wave of COVID-19 spread in Vietnam using a novel hybrid approach. First, the Decision-Making Trial and Evaluation Laboratory based on Grey Theory (DEMATEL-G) was employed to explore the critical factors of vaccination intention among individuals. Second, Partial Least Squares-Structural Equation Modeling (PLS-SEM) was applied to test the hypotheses of individual behavioral intention to get the vaccine to prevent the outbreak of COVID- 19. A panel of 661 valid respondents was collected from June 2021 to July 2021, and confidentiality was maintained for all data obtained. The results identified that perception of COVID-19 vaccination and trust in vaccination strategy directly associated with individuals' COVID-19 immunization. Hence, the perceived severity of COVID-19 has an indirect impact onCOVID- 19 vaccination intentions via the perception of the COVID-19 vaccine. These findings indicated that the government's information about vaccines is necessary for the new phase of vaccination intervention strategies in Vietnam. Therefore, the study suggests that the government needs to give complete information about the role of vaccines prioritizes transparency in official information about COVID-19 vaccines to allay concerns about side effects, allowing for the most appropriate policy formulation and implementation to encourage public vaccination. Future studies can apply PLS-SEM and other MCDMmodels with the fuzzy, hesitant numbers to re-evaluate the feasibility, validity and reliability of this research's proposed model. © 2022 Tech Science Press. All rights reserved.

The Solution of Computer Vision for Combating Covid-19

Recently, the Covid-19 pandemic has become very complicated and seriously affecting the economy as well as society in every countries in the world. In this chapter, we explore the solution of Computer Vision for handling the Covid-19 pandemic situation. The given scenarios based on deep learning techniques are used to monitor the traffic of people and vehicles through the checkpoints to control the in-out movement in significant areas. In addition, we also need to pay attention to complying with the regulations on wearing masks and ensuring a safe social distance in public places. From there, the proposed system will effectively support organizations to deal with the Covid-19 pandemic. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

RAMPVIS: Answering the challenges of building visualisation capabilities for large-scale emergency responses.

The effort for combating the COVID-19 pandemic around the world has resulted in a huge amount of data, e.g., from testing, contact tracing, modelling, treatment, vaccine trials, and more. In addition to numerous challenges in epidemiology, healthcare, biosciences, and social sciences, there has been an urgent need to develop and provide visualisation and visual analytics (VIS) capacities to support emergency responses under difficult operational conditions. In this paper, we report the experience of a group of VIS volunteers who have been working in a large research and development consortium and providing VIS support to various observational, analytical, model-developmental, and disseminative tasks. In particular, we describe our approaches to the challenges that we have encountered in requirements analysis, data acquisition, visual design, software design, system development, team organisation, and resource planning. By reflecting on our experience, we propose a set of recommendations as the first step towards a methodology for developing and providing rapid VIS capacities to support emergency responses.

Rapid Development of a Data Visualization Service in an Emergency Response

We present the design and development of a data visualization service (RAMPVIS) in response to the urgent need to support epidemiological modeling workflows during the COVID-19 pandemic. Facing a set of demanding requirements and several practical challenges, our small team of volunteers had to rely on existing knowledge and components of services computing, while thinking on our feet in configuring services composition and adopting suitable approaches to services engineering. Through developing the RAMPVIS service, we have gained useful experience of ensuring conformation to services computing standards, enabling rapid development and early deployment, and facilitating effective and efficient maintenance and operation with limited resources. This experience can be valuable to the ongoing effort for combating the COVID-19 pandemic, and provides a blueprint for visualization service development when future needs for visual analytics arise during emergency response. IEEE

Distribution of Tourist Behavior in COVID-19 Pandemic

Purpose: Covid-19 has caused an unprecedented situation for the tourism industry with slumping demand during the outbreak and many uncertainties about tourist behavior in the post-pandemic. This study is aimed to discover the distribution in the behavior of tourists in Vietnam, whose government has taken serious and early actions towards the health crisis and among the earliest to reopen the economy. Research design, data, and methodology: We adopted a mixed-method approach - combining qualitative interviews with quantitative research using a questionnaire survey. Through the form of the online survey through social networking channels: Facebook, Gmail. The study received 261 valid responses for analysis. Multivariate analysis techniques were used: descriptive statistics, exploratory factor analysis (EFA). Results: From the data and result of EFA, the result showed that the distribution of tourist behavior could be grouped into four main factors, including (1) the general impacts, (2) travel-related behaviors;(3) attitudes and preferences regarding modes of tours and destinations;(4) awareness of safety and hygiene. Conclusions: These results highlighted the importance of the theory of perceived risks in explaining the travelers’ prudent decisions. In addition, this study provides practical implications for policymakers and various stakeholders of Vietnam’s tourism industry in formulating the recovery strategy. © 2021. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://Creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

A Hybrid Method of MCDM for Evaluating Financial Performance of Vietnamese Commercial Banks Under COVID-19 Impacts

As an essential and exciting topic in financial management, MCDM has been widely used in evaluating financial performance to improve the suitability and reliability of financial indicators with respect to the impacts of both qualitative and quantitative information. This chapter aims to present a hybrid MCDM approach to evaluate the Vietnamese banking sector's performance under COVID-19 impacts. The proposed method utilizes The Criteria Importance Through Intercriteria Correlation (CRITIC) technique to determine objective weights of financial ratios. Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is employed to obtain the cause-effect relationship and the subjective weights based on experts’ judgments. Bank alternatives’ ranking is estimated using the

Assessing the Unemployment Problem Using A Grey MCDM Model under COVID-19 Impacts: A Case Analysis from Vietnam

The COVID 19 pandemic has led to a new global recession and is still causing a lot of issues because of the delays in the employment of people. This scenario has severe consequences for many countries’ labor markets in the world. This problem’s complexity and importance requires an integrated method of subjective and objective evaluation rather than intuitive decisions. This research aims to investigate sustainable indexes for assessing the unemployment problem by using a Multi-Criteria Decision-Making Model (MCDM). Grey theory and Decision Making Trial and Evaluation Laboratory (GDEMATEL) are deployed to transform the experts’ opinions into quantitative data. The analysis based on 20 crucial criteria is employed to determine the weights of sustainability of unemployment problems. The results revealed that the top ten of determinants are Economic growth, Industrialization, Foreign direct investment, Real GDP per capita, Education level, Trade Openness, Capacity Utilization Rate, Urbanization, Employability skills, Education system expansion, which have the most significant effects on the unemployment rate under COVID 19 impacts. Furthermore, GDEMATEL could effectively assess the sustainable indicators for unemployment problems in “deep and wide”aspects. The study proposes the Grey MCDM model, contributes to the literature, provides future research directions, and helps policymakers and researchers achieve the best solutions to the unemployment problems under “economic shocks.” © Copyright: The Author(s) This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.