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Online Product Reviews and Their Impact on Third Party Sellers Using Natural Language Processing
The purpose of this paper is to gain insights from the online product reviews of e-commerce sites such as Flipkart and Amazon and analyze its impact on third party sellers. To judge the authenticity of a product, reviews are...
Published by: IGI Global Scientific Publishing
Reshaping surgical specialist training in small animal surgery during and after the COVID-19 pandemic.
OBJECTIVE: To assess the perceived effects of the COVID-19 pandemic on small animal surgical specialist training, among trainees and supervisors and to propose changes, based upon the results, that could be incorporated into...
Reshaping surgical specialist training in small animal surgery during and after the COVID ‐19 pandemic
Abstract: Objective: To assess the perceived effects of the COVID‐19 pandemic on small animal surgical specialist training, among trainees and supervisors and to propose changes, based upon the results, that could be...
Comparison of Machining Performance under MQL and Ultra-High Voltage EMQL Conditions Based on Tribological Properties
This novel work presents the comparison of a newly developed ultra-high voltage electrostatic minimum quantity lubrication (EMQL) using a customized nozzle with the MQL technique as an alternative cooling/lubricating method in...
Comparison of Machining Performance under MQL and Ultra-High Voltage EMQL Conditions Based on Tribological Properties
This novel work presents the comparison of a newly developed ultra-high voltage electrostatic minimum quantity lubrication (EMQL) using a customized nozzle with the MQL technique as an alternative cooling/lubricating method in...
Trends in COVID-19 Publications
Background: Research publications related to the novel coronavirus disease COVID-19 are rapidly increasing. However, current online literature hubs, even with artificial intelligence, are limited in identifying the complexity of...
Systematic review of the effectiveness of the health inequalities strategy in England between 1999 and 2010.
Ian Holdroyd, Alice Vodden, Akash Srinivasan, Isla Kuhn, Clare Bambra, John Alexander Ford
Oct 24, 2022
OBJECTIVES: The purpose of this systematic review is to explore the effectiveness of the National Health Inequality Strategy, which was conducted in England between 1999 and 2010. DESIGN: Three databases (Ovid Medline, Embase...
Development of a Machine Learning Algorithm for Prediction of Complications and Unplanned Readmission Following Reverse Total Shoulder Arthroplasty.
Sai K Devana, Akash A Shah, Changhee Lee, Varun Gudapati, Andrew R Jensen, Edward Cheung, Carlos Solorzano, Mihaela van der Schaar, Nelson F SooHoo
Apr 25, 2022
BACKGROUND: Reverse total shoulder arthroplasty (rTSA) offers tremendous promise for the treatment of complex pathologies beyond the scope of anatomic total shoulder arthroplasty but is associated with a higher rate of major...
Development of a Machine Learning Algorithm for Prediction of Complications and Unplanned Readmission Following Reverse Total Shoulder Arthroplasty.
Sai K Devana, Akash A Shah, Changhee Lee, Varun Gudapati, Andrew R Jensen, Edward Cheung, Carlos Solorzano, Mihaela van der Schaar, Nelson F SooHoo
Oct 29, 2021
Background: Reverse total shoulder arthroplasty (rTSA) offers tremendous promise for the treatment of complex pathologies beyond the scope of anatomic total shoulder arthroplasty but is associated with a higher rate of major...
Development of a Machine Learning Algorithm for Prediction of Complications and Unplanned Readmission Following Primary Anatomic Total Shoulder Replacements.
Sai K Devana, Akash A Shah, Changhee Lee, Andrew R Jensen, Edward Cheung, Mihaela van der Schaar, Nelson F SooHoo
Apr 22, 2022
Background: The demand and incidence of anatomic total shoulder arthroplasty (aTSA) procedures is projected to increase substantially over the next decade. There is a paucity of accurate risk prediction models which would be of...
Development of a Machine Learning Algorithm for Prediction of Complications and Unplanned Readmission Following Primary Anatomic Total Shoulder Replacements.
Sai K Devana, Akash A Shah, Changhee Lee, Andrew R Jensen, Edward Cheung, Mihaela van der Schaar, Nelson F SooHoo
Jul 07, 2022
BACKGROUND: The demand and incidence of anatomic total shoulder arthroplasty (aTSA) procedures is projected to increase substantially over the next decade. There is a paucity of accurate risk prediction models which would be of...
A Novel Deep Federated Learning-Based Model to Enhance Privacy in Critical Infrastructure Systems
Sunil Singh, Akash Sharma, Anureet Chhabra, Sudhakar Kumar, Massoud Moslehpour, Varsha Arya
Jan 01, 2023
Deep learning (DL) can provide critical infrastructure operators with valuable insights and predictive capabilities to help them make more informed decisions, improving system's robustness. However, training DL models requires...
Computational Intelligence Computer Science and Information Technology Systems and Software Engineering
Published by: IGI Global Scientific Publishing
In vivo characterization of glutamine metabolism identifies therapeutic targets in clear cell renal cell carcinoma.
Akash K Kaushik, Amy Tarangelo, Lindsey K Boroughs, Mukundan Ragavan, Yuanyuan Zhang, Cheng-Yang Wu, Xiangyi Li, Kristen Ahumada, Jui-Chung Chiang, Vanina T Tcheuyap, Faeze Saatchi, Quyen N Do, Cissy Yong, Tracy Rosales, Christina Stevens, Aparna D Rao, Brandon Faubert, Panayotis Pachnis, Lauren G Zacharias, Hieu Vu, Feng Cai, Thomas P Mathews, Giannicola Genovese, Barbara S Slusher, Payal Kapur, Xiankai Sun, Matthew Merritt, James Brugarolas, Ralph J DeBerardinis
Jan 22, 2023
Targeting metabolic vulnerabilities has been proposed as a therapeutic strategy in renal cell carcinoma (RCC). Here, we analyzed the metabolism of patient-derived xenografts (tumorgrafts) from diverse subtypes of RCC....
Awareness and preparedness of healthcare workers against the first wave of the COVID-19 pandemic
Nguyen Tien Huy, R Matthew Chico, Vuong Thanh Huan, Hosam Waleed Shaikhkhalil, Vuong Ngoc Thao Uyen, Ahmad Taysir Atieh Qarawi, Shamael Thabit Mohammed Alhady, Nguyen Lam Vuong, Le Van Truong, Mai Ngoc Luu, Shyam Prakash Dumre, Atsuko Imoto, Peter N Lee, Dao Ngoc Hien Tam, Sze Jia Ng, Mohammad Rashidul Hashan, Mitsuaki Matsui, Nguyen Tran Minh Duc, Sedighe Karimzadeh, Nut Koonrungsesomboon, Chris Smith, Sharon Cox, Kazuhiko Moji, Kenji Hirayama, Le Khac Linh, Kirellos Said Abbas, Tran Nu Thuy Dung, Tareq Mohammed Ali Al-Ahdal, Emmanuel Oluwadare Balogun, Nguyen The Duy, Mennatullah Mohamed Eltaras, Trang Huynh, Nguyen Thi Linh Hue, Bui Diem Khue, Abdelrahman Gad, Gehad Mohamed Tawfik, Kazumi Kubota, Hoang-Minh Nguyen, Dmytro Pavlenko, Vu Thi Thu Trang, Le Thuong Vu, Tran Hai Yen, Nguyen Thi Yen-Xuan, Luong Thi Trang, Vinh Dong, Akash Sharma, Vu Quoc Dat, Mohammed Soliman, Jeza Abdul Aziz, Jaffer Shah, Pham Dinh Long Hung, Yap Siang Jee, Dang Thuy Ha Phuong, Tran Thuy Huong Quynh, Hoang Thi Nam Giang, Vy Thi Nhat Huynh, Nguyen Anh Thi, Nacir Dhouibi, Truc Phan, Vincent Duru, Nguyen Hai Nam, Sherief Ghozy, contributors of the TMGH-Global COVID-19 Collaborative, TMGH-Global COVID-19 Collaborative
Jan 28, 2022
BACKGROUND: Since the COVID-19 pandemic began, there have been concerns related to the preparedness of healthcare workers (HCWs). This study aimed to describe the level of awareness and preparedness of hospital HCWs at the time...
Awareness and preparedness of healthcare workers against the first wave of the COVID-19 pandemic
Nguyen Tien Huy, R Matthew Chico, Vuong Thanh Huan, Hosam Waleed Shaikhkhalil, Vuong Ngoc Thao Uyen, Ahmad Taysir Atieh Qarawi, Shamael Thabit Mohammed Alhady, Nguyen Lam Vuong, Le Van Truong, Mai Ngoc Luu, Shyam Prakash Dumre, Atsuko Imoto, Peter N Lee, Dao Ngoc Hien Tam, Sze Jia Ng, Mohammad Rashidul Hashan, Mitsuaki Matsui, Nguyen Tran Minh Duc, Sedighe Karimzadeh, Nut Koonrungsesomboon, Chris Smith, Sharon Cox, Kazuhiko Moji, Kenji Hirayama, Le Khac Linh, Kirellos Said Abbas, Tran Nu Thuy Dung, Tareq Mohammed Ali Al-Ahdal, Emmanuel Oluwadare Balogun, Nguyen The Duy, Mennatullah Mohamed Eltaras, Trang Huynh, Nguyen Thi Linh Hue, Bui Diem Khue, Abdelrahman Gad, Gehad Mohamed Tawfik, Kazumi Kubota, Hoang-Minh Nguyen, Dmytro Pavlenko, Vu Thi Thu Trang, Le Thuong Vu, Tran Hai Yen, Nguyen Thi Yen-Xuan, Luong Thi Trang, Vinh Dong, Akash Sharma, Vu Quoc Dat, Mohammed Soliman, Jeza Abdul Aziz, Jaffer Shah, Pham Dinh Long Hung, Yap Siang Jee, Dang Thuy Ha Phuong, Tran Thuy Huong Quynh, Hoang Thi Nam Giang, Vy Thi Nhat Huynh, Nguyen Anh Thi, Nacir Dhouibi, Truc Phan, Vincent Duru, Nguyen Hai Nam, Sherief Ghozy, contributors of the TMGH-Global COVID-19 Collaborative, TMGH-Global COVID-19 Collaborative
Jan 05, 2022