ABSTRACT
The Covid-19 pandemic has caused changes in several activities, including in the educational setting. Every university must implement a digital transformation, namely the migration of learning methods from the conventional method to the full online one. However, the implementation of online learning is challenging for both students and lecturers or educators. This study examines the students' perception of online learning in three different departments, namely Medical Education of Al-Azhar Islamic University, West Nusa Tenggara;Geography Education and Science Education, Yogyakarta State University. The research method used was a descriptive survey by describing the results of the questionnaires that had been distributed online. The results showed several difficulties during online learning, namely lack of motivation, lack of understanding of the material, decreased level of communication between students and lecturers, miscommunication between students in group assignments, and difficulty in consulting with lecturers. The main technical difficulties are internet connection and data, which can be a hindrance to the learning process. Lecturers need to make innovations in providing learning media so that learning outcomes can still be achieved. © 2023 Author(s).
ABSTRACT
Background: Kidney recipients constitute a vulnerable group of population and may have high risk of morbidity and mortality when infected with COVID-19. Objective(s): To a assess the overall outcome as well as the incidence and impact of COVID-19 among recipients who underwent transplantation during the pandemic Methods: A pre-designed follow up protocol was set to prospectively analyse the data obtaining from the recipients who underwent renal transplantation since 8 March 2010, the first appearance of COVID-19 in Bangladesh till 31 December, 2020. Outcome parameters were renal functional status;surgical, urological, immunological and medical complications;and incidence of COVID-19 and its outcome during the first 12 weeks post-transplant period. Result(s): Out of 100 patients, 82.0% were male and 18.0% were female. Serum creatinine levels (micromol/L) at 4, 8 and 12 weeks post-transplant were 200 in 6.0%, 5.0% and 6.0% respectively. Graft nephrectomy was done in 3 cases due to vascular complications. Five (5.0%) patients presented with symptoms of COVID-19, among them, 2 cases were confirmed with RT-PCR. There were 6 death cases, and septicaemia was the most common cause of death. The overall mortality rate was 6.0% in our study population but in COVID-19 confirmed cases it was 50.0%. Conclusion(s): During this pandemic, the overall outcome of renal transplantation was excellent and the incidence of symptomatic COVID-19 among transplant recipients was not higher than the incidence observed in general population of Bangladesh. But among the COVID-19 confirmed recipients, mortality rate was significantly higher. Copyright © 2022 Bangladesh Medical Research Council. All rights reserved.
ABSTRACT
One of the most vital steps in automatic Question Answer systems is Question classification. The Question classification is also known as Answer type classification, identification, or prediction. The precise and accurate identification of answer types can lead to the elimination of irrelevant candidate answers from the pool of answers available for the question. High accuracy of Question Classification phase means highly accurate answer for the given question. This paper proposes an approach, named Question Sentence Embedding(QSE), for question classification by utilizing semantic features. Extracting a large number of features does not solve the problem every time. Our proposed approach simplifies the feature extraction stage by not extracting features such as named entities which are present in fewer questions because of their short length and features such as hypernyms and hyponyms of a word which requires WordNet extension and hence makes the system more external sources dependent. We encourage the use of Universal Sentence Embedding with Transformer Encoder for obtaining sentence level embedding vector of fixed size and then calculate semantic similarity among these vectors to classify questions in their predefined categories. As it is the time of the Global pandemic COVID-19 and people are more curious to ask questions about COVID. So, our experimental dataset is a publicly available COVID-Q dataset. The acquired result highlights an accuracy of 69% on COVID questions. The approach outperforms the baseline method manifesting the efficacy of the QSE method. © 2021 IEEE.
ABSTRACT
Covid-19 has had an effect on various aspects of life. This study was to compare spatial distribution of covid-19 in Indonesia and Malaysia and its prevention efforts. The design of this study is a comparative study using descriptive analysis. Research was carry out in June through September 2020, taking location in Yogyakarta Special Region, Indonesia and Perak, Malaysia. Research focuses to data on infected positive patients with covid-19. Research data uses a secondary data, which is official statistics of covid-19. Statistical data then tabulated and mapping. The administrative map of both research sites used as a basis for the production spatial distribution map of positive patients infected with covid-19. Research shows that the number of positive patients infected by covid-19 June through September 2020 in five districts of Yogyakarta Special Region, Indonesia continued to increase significantly. Judging from time, spatial factors changes in covid-19 risk zones occurred in June to September 2020. Public movement and open access to Central Java Province causes 5 districts on Yogyakarta Special Region enter the high risk zone covid-19. Compared with Perak, Malaysia it different, spatially covid-19 infected number of positive patients in Perak, six district are relatively steady and four district are increasing. The increase occurred in Kinta District of July and August 2020, Kerian District of August 2020, Kuala Kangsar District of July 2020, and Perak Tengah District of September 2020. Judging from time, spatial factors do not changes the covid-19 risk zone from June to September 2020. Public movement and open access to Kedah, Kelantan, and Selangor caused two districts in Perak enter the high risk zone covid-19, five districts enter the medium risk zone covid-19, and three district enter the low risk zone covid-19. Indonesia and Malaysia's government efforts to prevent the spread of covid-19 are almost the same, which are restrictions on several public activities, clean and healthy socialization of living behaviour in all sectors, implementation of health discipline protocol in new normal, and provide of update covid-19 information data. The difference, lies in implementation lockdown, which some areas in Indonesia include Yogyakarta Special Region do not apply on Large Scale Social Restrictions (LSSR) like Jakarta, while a full implementation of lockdown in Malaysia through Movement Control Order (MCO) including Perak, so a growing number of covid-19 cases can be more pressure.
ABSTRACT
BACKGROUND: Indonesia has started the big project of COVID-19 vaccination program since 13 January 2021 by employing the first shot of vaccine to the President of Indonesia as the outbreak and rapid transmission of COVID-19 have endangered not only Indonesian but the global health and economy. This study aimed to investigate the full-length genome mutation analysis of 166 Indonesian SARS-CoV-2 isolates as of 12 January 2021. RESULTS: All data of the isolates were extracted from the Global Initiative on Sharing All Influenza Data (GISAID) EpiCoV database. CoVsurver platform was employed to investigate the full-length genome mutation analysis of all isolates. This study also focused on the phylogeny analysis in unlocking the mutation of S protein in Indonesian SARS-CoV-2 isolates. WIV04 isolate that was originated from Wuhan, China was used as the virus reference according to the CoVsurver default. The result showed that a full-length genome mutation analysis of 166 Indonesian SARS-CoV-2 isolates was successfully generated. Every single mutation in S protein was described and then visualized by utilizing BioRender platform. Furthermore, it also found that D614G mutation appeared in 103 Indonesian SARS-CoV-2 isolates. CONCLUSIONS: To sum up, this study helped to observe the spread of COVID-19 transmission. However, it also proposed that the epidemiological surveillance and genomics studies might be improved on COVID-19 pandemic in Indonesia. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s42269-021-00657-0.