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American Journal of Gastroenterology ; 117(10 Supplement 2):S1857, 2022.
Article in English | EMBASE | ID: covidwho-2326865


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).

COVID-19 and a World of Ad Hoc Geographies: Volume 1 ; 1:1175-1192, 2022.
Article in English | Scopus | ID: covidwho-2323309


After a full year of intermittent observation of pandemic conditions, this research analyzes the way street life of neighborhoods in two Southeast Asian cities has adapted to government-intensified sanitation measures, scarcity of essential goods and services, and movement restrictions that characterize the persistence of the COVID-19 influenza in selected sites in and around Manila, in the Philippines and in Hanoi, Vietnam. This study describes how citizens negotiate the morbid geography - the reshaping of public space as well as its encompassed social, institutional and economic processes in response to the pervasive state of pandemic - in relation to well-meaning but sometimes draconian government health regulations in the Global South. We draw on the dynamics of institutional strategy and citizen tactics as a theoretical lens, as informed by literature on coping and transgressive practices. Learning from comparable patterns of citizens' everyday life on the streets, even in countries with distinct administrative traditions, the study highlights the significance of agency under crisis and emphasizes the different meanings of public space for varied social groups. It suggests how urban planning and administration can be improved to prepare cities for future health emergencies and make them more resilient. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

American Journal of Gastroenterology ; 117(10):S1092-S1093, 2022.
Article in English | Web of Science | ID: covidwho-2307917
Processes ; 10(11), 2022.
Article in English | Scopus | ID: covidwho-2285953
Studies in Computational Intelligence ; 1045:179-190, 2023.
Article in English | Scopus | ID: covidwho-2242924
9th NAFOSTED Conference on Information and Computer Science, NICS 2022 ; : 275-280, 2022.
Article in English | Scopus | ID: covidwho-2233761


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.

7th International Scientific Conference on Applying New Technology in Green Buildings, ATiGB 2022 ; : 200-204, 2022.
Article in English | Scopus | ID: covidwho-2213145
International Journal of Disclosure and Governance ; : 1-13, 2023.
Article in English | PubMed Central | ID: covidwho-2212148
Studies in Computational Intelligence ; 1045:179-190, 2023.
Article in English | Scopus | ID: covidwho-2148522
Nephrology ; 27:91-91, 2022.
Article in English | Web of Science | ID: covidwho-2083971
Eacl 2021: The 16th Conference of the European Chapter of the Association for Computational Linguistics: Proceedings of the System Demonstrations ; : 24-31, 2021.
Article in English | Web of Science | ID: covidwho-2068420
Cmc-Computers Materials & Continua ; 73(2):4211-4229, 2022.
Article in English | Web of Science | ID: covidwho-2044369