Navigating the Transformative Landscape of Virtual Education Trends across India

Asha SHARMA,Aditya MISHRA2 한국유통과학회 2024 4차산업연구 Vol.4 No.1

Purpose: Education is the part of a fundamental human right across the world. In recent years, the trend of virtual education has increased tremendously. The paper aims to find the impact of adoption, accessibility, interactions, knowledge, and satisfaction on the success of transformation towards virtual education. Research design, data and methodology: Primary data has been gathered through the use of responses from students taking admission in virtual higher education to standardized questionnaires. Of the 250, only 122 were considered complete and have been used in further studies. Convinced random sampling method has been used. The results were evaluated using the Likert Five-Point Scale. For applying these statistical tools software SmartPLS and SPSS 19 have been used. The fitness of the model has been re-checked through an Artificial Neural Network (ANN). Result: Results derived that adoption, accessibility, and interactions have a significant impact on knowledge, knowledge influences satisfaction level and satisfaction have a meaningful impact on the success of transformation towards virtual education. Conclusion: It can be concluded that virtual education has the potential to change the future of the education system and its potential in India. The highest importance is due to satisfaction (100%), adoption (98.7%), knowledge (91.4%), accessibility (62%), and interaction (29.2%).

HeartNetEC: a deep representation learning approach for ECG beat classifi cation

Sri Aditya Deevi,Christina Perinbam Kaniraja,Vani Devi Mani,Deepak Mishra,Shaik Ummar,Cejoy Satheesh 대한의용생체공학회 2021 Biomedical Engineering Letters (BMEL) Vol.11 No.1

One of the most crucial and informative tools available at the disposal of a Cardiologist for examining the condition of apatient’s cardiovascular system is the electrocardiogram (ECG/EKG). A major reason behind the need for accurate reconstructionof ECG comes from the fact that the shape of ECG tracing is very crucial for determining the health condition ofan individual. Whether the patient is prone to or diagnosed with cardiovascular diseases (CVDs), this information can begathered through examination of ECG signal. Among various other methods, one of the most helpful methods in identifyingcardiac abnormalities is a beat-wise categorization of a patient’s ECG record. In this work, a highly efficient deep representationlearning approach for ECG beat classification is proposed, which can significantly reduce the burden and time spentby a Cardiologist for ECG Analysis. This work consists of two sub-systems: denoising block and beat classification block. The initial block is a denoising block that acquires the ECG signal from the patient and denoises that. The next stage is thebeat classification part. This processes the input ECG signal for finding out the different classes of beats in the ECG throughan efficient algorithm. In both stages, deep learning-based methods have been employed for the purpose. Our proposedapproach has been tested on PhysioNet’s MIT-BIH Arrhythmia Database, for beat-wise classification into ten importanttypes of heartbeats. As per the results obtained, the proposed approach is capable of making meaningful predictions andgives superior results on relevant metrics.

Navigating the Transformative Landscape of Virtual Education Trends across India

Asha SHARMA,Aditya MISHRA Korea Fourth Industrial Association 2024 Fourth industrial review Vol.4 No.1

Purpose: Education is the part of a fundamental human right across the world. In recent years, the trend of virtual education has increased tremendously. The paper aims to find the impact of adoption, accessibility, interactions, knowledge, and satisfaction on the success of transformation towards virtual education. Research design, data and methodology: Primary data has been gathered through the use of responses from students taking admission in virtual higher education to standardized questionnaires. Of the 250, only 122 were considered complete and have been used in further studies. Convinced random sampling method has been used. The results were evaluated using the Likert Five-Point Scale. For applying these statistical tools software SmartPLS and SPSS 19 have been used. The fitness of the model has been re-checked through an Artificial Neural Network (ANN). Result: Results derived that adoption, accessibility, and interactions have a significant impact on knowledge, knowledge influences satisfaction level and satisfaction have a meaningful impact on the success of transformation towards virtual education. Conclusion: It can be concluded that virtual education has the potential to change the future of the education system and its potential in India. The highest importance is due to satisfaction (100%), adoption (98.7%), knowledge (91.4%), accessibility (62%), and interaction (29.2%).

GI Surgery

( Narayan Prasad Belbase ),( Aditya Kumar Jalan ),( Hari Upadhyay ),( Rohit Mishra ),( Mukesh Karki ),( Sujit Kumar ) 대한간학회 2020 춘·추계 학술대회 (KASL) Vol.2020 No.1

Aims: The aim of this study was to determine the outcome of liver injuries managed operatively or non-operatively and predict factors affecting morbidity and mortality. Methods: This was a retrospective study of 40 liver injuries managed in the department of Surgical Gastroenterology at College of Medical Sciences over a period of 2 years. The liver injury was classified in accordance with the American Association for the Surgery of Trauma liver injury scoring scale. Patients were divided into two groups those managed operatively or non-operatively and were compared in terms of demographic profile and outcome. Results: Forty patients were analyzed. The mean age of the patients was 29.95years. Male predominance was seen with 72.5% of the cases. Road traffic accidents were the commonest mode of injury seen in 72.5% cases. The mean Revised Trauma Score (RTS) and Injury severity score (ISS) were 7.11and 22.58. The mean systolic BP, hospital stay and ICU stay were 93.80 mm of mercury, 11.55 days and 3.55 days respectively. Twenty six patients (65%) were initially managed non-operatively and 14 patients were managed operatively. Five patients had to be converted to operative management for hemodynamic instability. Mortality was 7.6% in patient undergoing non-operative management and 21.43% in patients managed operatively. Low systolic BP at presentation, low RTS score, high ISS score, high AST, ALT and prothrombin time were significantly associated with operative management and mortality. Conclusions: Patients with hemodynamic instability, low RTS score, high ISS score, high liver enzymes have high likelihood of operative management.

Impact of lymph node staging systems in predicting outcome in patients with ampullary cancer

Sundeep Singh Saluja,Pramod Kumar Mishra,Shashi Kiran,Harsh J. Shah,Sandip Chandrasekar,Mohammed Nayeem,Aditya Sharma,Vaibhav Kumar Varshney 한국간담췌외과학회 2020 Annals of hepato-biliary-pancreatic surgery Vol.24 No.4

Backgrounds/Aims: Lymph node (LN) metastasis though, is a poor prognostic factor for ampullary carcinoma (APC), the impact of Lymph node ratio (LNR) and Logarithm odds of positive lymph node (LODDS) in the long-term survival remains controversial. We evaluated the factors affecting the long-term outcome in APC patients with emphasis on LNR and LODDS. Methods: The prospectively collected data of 198 patients who underwent pancreatoduodenectomy for APC was analyzed after excluding 12 patients for various reasons. Factors affecting Disease specific survival (DSS) and Recurrence free survival (RFS) were analyzed with special reference to LN positivity, LNR and LODDS. Results: Out of 186, 117 (62.9%) patients were alive at a median follow-up of 39.5 months and 72 (38.7%) developed recurrence. The overall 5-year DSS was 59.3% & RFS 54.9%. Univariate analysis showed T-stage, tumor differentiation, perineural invasion, LN positivity, LNR and LODDS was significantly affected DSS and RFS. On multivariate analysis, perineural invasion, LN positivity, LNR and LODDS lost its significance for DSS and RFS. AUC for prediction of DSS and RFS for LNR was 0.654 (p<0.001) & 0.629 (p=0.003) respectively and for LODDS, it was 0.697 (p<0.001) & 0.677 (p=0.001) respectively. Sensitivity and specificity of LNR (0.1) for DSS were 37.7% & 83.8% and for RFS were 36.1% & 83.3%; for LODDS (−1.00), sensitivity and specificity for DSS was 62.3% and 67.5% and for RFS it was 59.7% and 66.7% respectively. Conclusions: LNR and LODDS although independently seem to affect the RFS and DSS, albeit have a low sensitivity and specificity in predicting DSS and RFS.

Bendamustine in combination with ifosfamide, etoposide, and vinorelbine (VIBE) is an effective salvage regimen for heavily pre-treated patients with relapsed or refractory Hodgkin lymphoma: a single-center experience

Gaurav Prakash,Arihant Jain,Kamalkant Sahu,Amanjit Bal,Charanpreet Singh,Rajender Basher,Harmandeep Singh,Kundan Mishra,Aditya Jandial,Deepesh Lad,Alka Khadwal,Radhika Srinivasan,Ashim Das,Neelam Varm 대한혈액학회 2021 Blood Research Vol.56 No.3

Background This study evaluated the outcomes of patients with refractory/relapsed Hodgkin lymphoma (RRHL) treated with a bendamustine-based regimen in combination with ifosfamide, etoposide, and vinorelbine (VIBE). Methods Consecutive RRHL patients who were treated with the VIBE regimen were identified and studied for clinicopathologic characteristics, response to VIBE regimen, event-free survival (EFS), and feasibility of an autologous stem-cell transplant (autoSCT). Results In total, 24 patients received the VIBE regimen, and a median of 3 cycles were administered. In this cohort, 80% of the patients had received ≥2 prior lines of therapy. The overall and complete response rates with VIBE were 79% and 42%, respectively. After a median follow-up (following VIBE regimen) of 14 months (range, 3‒76), the 3-year EFS and OS were 46% and 74%, respectively. Of the eligible patients, 92% underwent successful AutoSCT. The mean CD34+ cell count in the autograft was 5.5×106 /kg (SD 2.07). Neutropenia was the commonest hematologic toxicity and it was observed in 42% of the patients. However, only 9% of the patients developed grade III/IV febrile neutropenia. Chemotherapy-induced nausea and vomiting were the second most common grade III/IV toxicities in our cohort of patients. Conclusion In this retrospective analysis, the combination regimen, VIBE, has shown good efficacy in heavily pre-treated patients with RRHL without compromising stem cell collection. These encouraging results provide a rationale for further development of this regimen.