001) and cyclin D1 ( = 0.033) than those without lymph node metastasis. Spearman's rank correlation test showed that there was a significant positive correlation between the eIF4E and cyclin D1 proteins in ovarian cancer. The Kaplan-Meier method showed that patients with lower expression of eIF4E had marginally better survival than those with high expression of eIF4E ( = 0.012). Multivariate Cox regression analysis further identified that positive expression of eIF4E was an independent prognostic factor. In ovarian cancer, eIF4E might be a valuable biomarker to predict poor prognoses and a potential therapeutic target to develop valid treatment strategies. In ovarian cancer, eIF4E might be a valuable biomarker to predict poor prognoses and a potential therapeutic target to develop valid treatment strategies. This study aimed to assess knowledge, attitudes, and practices (KAP) toward COVID-19 among youth in Bangladesh. A cross-sectional survey was conducted from 5 May to 25 May 2020. People aged between 18 and 35years were approached via social media to complete an online questionnaire that consisted of socio-demographic information and KAP toward COVID-19. Descriptive statistics, t-tests, one-way analysis of variance (ANOVA), and multiple logistic regression analyses were conducted. Out of 707 survey participants, 57.1% were male, the majority were students (60.3%), aged 24-29 years (61.5%), having a bachelor's degree (57%), having family income 25,000-50,000 BDT (40.5%) and living in urban areas (64.4%). Participants gathered information on COVID-19 mostly through social media (70.4%). Overall, 61.2% had adequate knowledge with 78.9% having a positive attitudes toward COVID-19 and only 51.6% had good practices. Most (86.8%) of the participants were confident that COVID-19 will be successfully controlled and Bangladesh was handling the COVID-19 health crisis well (84.20%). Only 75.2% of participants always washed their hands with soap or hand-sanitizer, and 70.6% wore a mask when going outside the home. Factors associated with adequate knowledge were being female, having a master's degree and above, and living in an urban area (  < 0.05). Participants having adequate knowledge of COVID-19 had higher likelihood of positive attitudes (OR 6.41, 95% CI = 2.34-25.56,  = 0.000) and good practices (OR 8.93, 95% CI = 3.92-38.42,  = 0.000). The findings highlight the need for tailored education programs for COVID-19 which incorporates consideration of associated factors to improve the level of public knowledge, attitudes, and practices. The findings highlight the need for tailored education programs for COVID-19 which incorporates consideration of associated factors to improve the level of public knowledge, attitudes, and practices.Knowledge graphs are a powerful concept for querying large amounts of data. These knowledge graphs are typically enormous and are often not easily accessible to end-users because they require specialized knowledge in query languages such as SPARQL. Moreover, end-users need a deep understanding of the structure of the underlying data models often based on the Resource Description Framework (RDF). This drawback has led to the development of Question-Answering (QA) systems that enable end-users to express their information needs in natural language. While existing systems simplify user access, there is still room for improvement in the accuracy of these systems. https://www.selleckchem.com/products/pf-8380.html In this paper we propose a new QA system for translating natural language questions into SPARQL queries. The key idea is to break up the translation process into 5 smaller, more manageable sub-tasks and use ensemble machine learning methods as well as Tree-LSTM-based neural network models to automatically learn and translate a natural language question into a SPARQL query. The performance of our proposed QA system is empirically evaluated using the two renowned benchmarks-the 7th Question Answering over Linked Data Challenge (QALD-7) and the Large-Scale Complex Question Answering Dataset (LC-QuAD). Experimental results show that our QA system outperforms the state-of-art systems by 15% on the QALD-7 dataset and by 48% on the LC-QuAD dataset, respectively. In addition, we make our source code available.Transcatheter aortic valve replacement has become a popular choice for cases with severe aortic stenosis. However, when severe mitral regurgitation is comorbid in high-risk patients with severe aortic stenosis, therapeutic options must be weighed for each case. Here we present a very frail 88-year-old patient with severe aortic stenosis and severe mitral valve regurgitation who underwent a successful awake minimally invasive mitral valve repair after transcatheter aortic valve replacement.We report the case of a 3-month-old girl presenting with end-stage dilated cardiomyopathy and therapy-resistant cardiogenic shock. A left ventricular assist device (LVAD) Berlin Heart EXCOR was implanted, her organs recovered, and she was listed for heart transplantation. Two months later, while still on the LVAD, she was diagnosed with the rare genetic Alström syndrome. Weaning was no option, and she underwent successful heart transplantation at the age of 9 months. The follow-up 15 months later revealed an uneventful transplant course in a child with Alström syndrome.An anomalous origin of the left coronary artery from the pulmonary artery (ALCAPA) is a rare congenital heart disease. Among the variants, an anomalous origin of the left anterior descending coronary artery from the pulmonary artery (ALADPA) is extremely rare. Here, we report a case of ALADPA in an adult that was treated with coronary artery bypass grafting using the left internal thoracic artery.Training in cardiac surgery is a cumbersome topic. Over the last years, major cardiac surgical operations have been found to decrease due to the increasing number in transcatheter interventions. Becoming a cardiac surgeon has become partly a hard task. Since the beginning of 2020, the new coronavirus epidemic has been shaking peoples' lives all over the world, hindering every normal hospital activity including residency programs.