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103. Contributors

Author

Abbasi, Yasir Faraz, primary, Al Hoque, Ashique, additional, Al Maruf, Md Abdullah, additional, Ali, Kazi Asraf, additional, Anand, Sneha, additional, Annie Mariya, Rajan, additional, Banerjee, Soumyabrata, additional, Baqui, Muhammad Nazmul, additional, Bera, Hriday, additional, Biswal, Manas R., additional, Chakraborty, Apala, additional, Chakraborty, Manas, additional, Chakraborty, Pranabesh, additional, Chakraborty, Samrat, additional, Chakraborty, Shreyasi, additional, Chatterjee, Bappaditya, additional, Das, Bhaskar, additional, Das, Surajit, additional, De, Arnab, additional, Dey, Sanjay, additional, Dhara, Moumita, additional, Dutta, Debasmita, additional, Dutta, Dishari, additional, Dutta, Lopamudra, additional, Ehsan, Iman, additional, Gautam, Anurag Kumar, additional, Ghosh, Prasanta, additional, Guo, Xiong, additional, Hasnain, Md Saquib, additional, Hossain, Chowdhury Mobaswar, additional, Induru, Jagadeesh, additional, Jana, Sougata, additional, Khatua, Tarak Nath, additional, Kłodzińska, Sylvia N., additional, Kumar, Pranesh, additional, Kumari, Leena, additional, Kundu, Amit, additional, Layek, Buddhadev, additional, Mahanty, Arpan, additional, Maiti, Sabyasachi, additional, Maity, Siddhartha, additional, Mandal, Sanchita, additional, Manna, Sreejan, additional, Maurya, Priyanka, additional, Mishra, Nidhi, additional, Mondal, Laboni, additional, Moorthy, N.S. Hari Narayana, additional, Mukherjee, Biswajit, additional, Nayak, Amit Kumar, additional, Nielsen, Hanne Mørck, additional, Pal, Dilipkumar, additional, Pal, Kushal, additional, Pal, Raviraj, additional, Parashar, Poonam, additional, Patel, Jwala, additional, Rajalekshmy, G.P., additional, Rajinikanth, P.S., additional, Ray, Manisheeta, additional, Rekha, M.R., additional, Roy, Pradyot Kumar, additional, Saha, Sudipta, additional, Sahoo, Ratan, additional, Samanta, Amalesh, additional, Saraf, Shubhini A., additional, Sarkar, Srimanta, additional, Sengupta, Soma, additional, Shariatinia, Zahra, additional, Singh, Neelu, additional, Singh, Samipta, additional, Sneed, Kevin, additional, Sonkar, Archana Bharti, additional, Suresh, Sreya, additional, and Vichare, Riddhi, additional

Published
2021
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104. List of contributors

Author

Abbasi, Yasir Faraz, primary, Abosheasha, Mohammed A., additional, Arora, Sanjay, additional, Asraf Ali, Kazi, additional, Atanase, Leonard Ionut, additional, Basak, Souvik, additional, Bera, Hriday, additional, Bisht, Rohit, additional, Cao, Zhi, additional, Chakraborty, Jui, additional, Chakraborty, Pranabesh, additional, Chakraborty, Prosenjit, additional, Chaulagain, Bivek, additional, Chee, Bor Shin, additional, Chen, Yang, additional, Colmenarez Lobo, Custodiana A., additional, Cun, Dongmei, additional, Das, Surajit, additional, de Lima, Gabriel Goetten, additional, Dutta, Rajat Subhra, additional, Dutta, Rinku, additional, D’Accorso, Norma B., additional, Fascio, Mirta L., additional, Gaurav, Isha, additional, Gayen, Shovanlal, additional, Ghosh, Isha, additional, Gogoi, Niva Rani, additional, Guo, Haifei, additional, Guo, Xiong, additional, Hasan, Syed Muhammad Farid, additional, Henn, Jeferson Gustavo, additional, Ito, Yoshihiro, additional, Jain, Gaurav K., additional, Koppelman, Madison, additional, Lamptey, Richard N.L., additional, Layek, Buddhadev, additional, Maity, Arindam, additional, Mallik, Sanku, additional, Mamnoon, Babak, additional, Marbaniang, Daphisha, additional, Marins, Mozart, additional, Mazumder, Bhaskar, additional, Mohapatra, Shyam S., additional, Mohapatra, Subhra, additional, Nandi, Gouranga, additional, Nirmal, Jayabalan, additional, Nirmal, Sonali, additional, Nugent, Michael, additional, Panda, Parthasarathi, additional, Paul, Paramita, additional, Paul, Shubhajit, additional, Raveena, Pinto, additional, Ray, Somasree, additional, Ray, Subhabrata, additional, Roy, Payal, additional, Roy, Pradyot, additional, Saha, Suman, additional, Sahoo, Ujjwal, additional, Seba, Viviane, additional, Seth, Shalmoli, additional, Shreffler, Jacob, additional, Sidu, Rakesh Kumar, additional, Silva, Gabriel, additional, Singh, Jagdish, additional, Sweta, Kumari, additional, Thakur, Abhimanyu, additional, Thakur, Sudha, additional, Trivedi, Riddhi, additional, Ueda, Motoki, additional, and Yang, Mingshi, additional

Published
2021
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106. Preface

Author

Das, Surajit, primary and Dash, Hirak Ranjan, additional

Published
2021
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113. Redox Chemistry of "Neglected Copper‐Tris" Complex in Presence of Ascorbic Acid and O2.

Author

Bag, Jayanta, Das, Surajit, Maity, Suvendu, Ghosh, Prasanta, Maiti, Biplab K., and Pal, Kuntal

Subjects
*VITAMIN C, *OXIDATION-reduction reaction, *REDUCTION potential, *COPPER, *HYDROXYMETHYL compounds
Abstract

Sometimes unusual redox chemistry and modulation of enzyme activity Cu‐proteins can be encountered by the presence of a trace amount of Cu−Tris interaction (Tris‐(hydroxymethyl) aminomethane) during vitro studies. Herein, we addressed a redox chemistry of CuII−Tris with variable stoichiometric ratios in the presence of ascorbic acid (H2A) and O2. The redox chemistry of Bs3 (Cu : Tris; 1 : 3) with H2A/O2 was passed through several intermediates with progress on time yielding initially yellow precipitate, (Yp3), then green solution, (Gs3) and finally cyan solution (Cs3). The UV‐Vis spectra of Bs3, Gs3 and Cs3 displayed peaks at 640, 690 and 710 nm respectively suggesting CuII. The redox potential of CuII/CuI in Bs3, Gs3 and Cs3 were −0.18 V, −0.15 V and −0.19 V (vs. Ag/AgCl) respectively. The EPR spectrum of Bs3 showed an axial signal with g∥,⊥=2.483/2.105&A∥=160×10−4 cm−1 whereas Gs3 and Cs3 showed rhombic signal with g1,2,3=2.302/2.063/2.018&A∥=177×10−4 cm−1 and g1,2,3=2.274/2.064/2.016&A∥=164×10−4 cm−1 respectively suggesting a distorted tetragonal geometry. ESI−MS data indicated the probable composition of Bs2‐Bs5, Gs3 and Cs3 in solution. Integration of all spectroscopies data demonstrated the probable composition and redox mechanism. [ABSTRACT FROM AUTHOR]

Published
2024
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114. Redox Chemistry of "Neglected Copper‐Tris" Complex in Presence of Ascorbic Acid and O2.

Author

Bag, Jayanta, Das, Surajit, Maity, Suvendu, Ghosh, Prasanta, Maiti, Biplab K., and Pal, Kuntal

Subjects
VITAMIN C, OXIDATION-reduction reaction, REDUCTION potential, COPPER, HYDROXYMETHYL compounds
Abstract

Sometimes unusual redox chemistry and modulation of enzyme activity Cu‐proteins can be encountered by the presence of a trace amount of Cu−Tris interaction (Tris‐(hydroxymethyl) aminomethane) during vitro studies. Herein, we addressed a redox chemistry of CuII−Tris with variable stoichiometric ratios in the presence of ascorbic acid (H2A) and O2. The redox chemistry of Bs3 (Cu : Tris; 1 : 3) with H2A/O2 was passed through several intermediates with progress on time yielding initially yellow precipitate, (Yp3), then green solution, (Gs3) and finally cyan solution (Cs3). The UV‐Vis spectra of Bs3, Gs3 and Cs3 displayed peaks at 640, 690 and 710 nm respectively suggesting CuII. The redox potential of CuII/CuI in Bs3, Gs3 and Cs3 were −0.18 V, −0.15 V and −0.19 V (vs. Ag/AgCl) respectively. The EPR spectrum of Bs3 showed an axial signal with g∥,⊥=2.483/2.105&A∥=160×10−4 cm−1 whereas Gs3 and Cs3 showed rhombic signal with g1,2,3=2.302/2.063/2.018&A∥=177×10−4 cm−1 and g1,2,3=2.274/2.064/2.016&A∥=164×10−4 cm−1 respectively suggesting a distorted tetragonal geometry. ESI−MS data indicated the probable composition of Bs2‐Bs5, Gs3 and Cs3 in solution. Integration of all spectroscopies data demonstrated the probable composition and redox mechanism. [ABSTRACT FROM AUTHOR]

Published
2024
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115. DETERMINING THE NORMAL VALUES OF MYOCARDIAL PERFORMANCE INDEX OF FETUS AND ITS SIGNIFICANCE IN INDIAN POPULATION.

Author

Dutta, Souvik, Jana, Arijeet, Das, Surajit, Chaudhuri, Indrani, and Mondal, Arindam

Subjects
LOW birth weight, DELIVERY (Obstetrics), FETUS, FETAL abnormalities, FETAL heart rate
Abstract

Introduction: The use of radiology, especially ultrasonography, is widely prevalent in obstetric care worldwide. Ultrasonography studies during pregnancy are used to identify fetal abnormalities that may impact the health of the fetus as well as that of the child post-delivery. Aims: To determine the normal values of fetal Myocardial Performance Index (MPI) and lay down its importance in the cardiac workup of foetuses. Materials and Methods: This is a Hospital based observational Prospective Study. It's conducted from 1st April 2021 to 30th September, 2022 at Department of Radio-diagnosis in collaboration with Department of Obstetrics & Gynecology, Burdwan Medical College and Hospital. 115 patients were include in this study. Result: Among 115 mothers, 53.9% were primi-gravida, 33.9% were 2nd gravida and rest 12.2% were 3rd gravida, 57.4% undergo Normal vaginal delivery, 17.4% undergo vaginal delivery with induction and 25.2% undergo caesarean section and among 115 babies 82.6% had normal birth weight rest 17.4% were low birth weight babies. Conclusion: We conclude that myocardial performance index is a better predictor of adverse perinatal outcome than an abnormal IVCT or IVRT. Best results are obtained when MPI is used, rather than IVCT, IVRT and ET separately. In our study MPI had the highest sensitivity of 88.8% in predicting adverse fetal outcomes and 92.3% in predicting perinatal mortality. If the MPI ratio is normal, the fetus is unlikely to have major adverse outcome. This information would be reassuring to parents and referring obstetricians and in addition the fetus would not require intensive surveillance. Doppler patterns follow a longitudinal trend with early changes in the E/A ratio with advancing gestational ages. Fetal heart rate shows a declining trend with increasing gestational age. There was no statistically significant correlation between gestational age with MPI, ICT, IRT and ET. [ABSTRACT FROM AUTHOR]

Published
2024

116. Comprehensive Analysis of Text Summarization Techniques for Legal Documents.

Author

Deepika, Ryakala, Das, Surajit, Dey, Niladri Sekhar, Panuganti, Jeshwanth, and Hussain, Mohammed Raashed

Subjects
TEXT summarization, LANGUAGE models, LEGAL documents, AUTOMATIC summarization, LEGAL professions
Abstract

The surge of digital legal documents has significantly expanded their usage. This has resulted in the sheer number of papers being used by various members of the judiciary, as well as by advocates and judicial officers. It can be incredibly challenging to keep up with all of them. Over four crore cases are still pending in Indian courts, and manually reviewing them can be a tedious and time-consuming process\cite{r1}. As machine learning has advanced, various text summarization models have been created to help legal professionals manage their documents. Due to the lack of publicly accessible datasets, it is difficult to fine-tune domain-independent models for Indian legal systems. The methodology proposed in this paper seeks to improve the overall performance of these models, and it also explores Indian legal documents' summarization techniques. In addition, this research also provides a study of the several summarization methods in-depth that have been on Indian legal documents, including PEGASUS, Bidirectional Auto- Regressive transformers (BART), TextRank, and Bidirectional Encoder Representations from Transformers (BERT). Through the process of extractive and abstract summarization, BART and PEGASUS will be able to gain a deeper understanding of the text normalization process. The outcomes of the text normalization process are evaluated by experts using the ROUGE metrics and multiple parameters. It shows that the proposed approach can work well in legal texts that have domain-independent frameworks. [ABSTRACT FROM AUTHOR]

Published
2024

130. List of Contributors

Author

Adya, Ashok K., primary, Agarwal, Neelesh, additional, Agrawal, Udita, additional, Azevedo, Vasco, additional, Bahadur, Shiv, additional, Banerjee, Subhadip, additional, Barh, Debmalya, additional, Bharadwaj, Mausumi, additional, Bhatt, Anant Narayan, additional, Bhattacharjee, Atanu, additional, Biswas, Sayan, additional, Biyani, Madhu, additional, Biyani, Manish, additional, Canetta, Elisabetta, additional, Chakrabarti, Manoj K., additional, Chanda, Joydeb, additional, Chandra, Partha K., additional, Chaturvedi, Rakhi, additional, Chauhan, Ankit, additional, Chowbina, Sudhir, additional, Chowdhuri, D. Kar, additional, Chowdhury, Madhumita Roy, additional, Das, Mukul, additional, Datta, Amrita, additional, Dube, Devyani, additional, Dubey, Sudhisha, additional, Dutta, Shanta, additional, Dwarakanath, Bilikere Srinivasa Rao, additional, Dwivedi, Premendra D., additional, Gaur, Rajarshi Kumar, additional, Ghosh, Preetam, additional, Gimpel, Jessica L., additional, Gupta, Abhik, additional, Gupta, Anuj Kumar, additional, Gupta, Madhu, additional, Gupta, UD, additional, Harwansh, Ranjit K., additional, Hazra, Rajat, additional, Hoque, Kazi Mirajul, additional, Hussain, Showket, additional, Jain, Pooja, additional, Jyoti, Anurag, additional, Kamal, Shivali, additional, Kanjilal, Satyajyoti, additional, Kashyap, Sudhir Kumar, additional, Katiyar, Chandra Kant, additional, Khan, Fahim Halim, additional, Khan, Zafar K., additional, Khanna, Suchit, additional, Khurana, Satyendra Mohan Paul, additional, Kumar, Aruna, additional, Kumar, Naveen, additional, Kumar, Sandeep, additional, Kumar, Vineet, additional, Kumar, Vipin, additional, Lokman, Noor A, additional, Maherchandani, Sunil, additional, Marwal, Avinash, additional, Masih, Shet, additional, Maurya, Pawan Kumar, additional, Mehrotra, Ravi, additional, Mishra, Ayushi, additional, Mody, Nishi, additional, Mondal, Debasis, additional, Mukherjee, Pulok K., additional, Mukherjee, Soumen, additional, Nalluri, Joseph J., additional, Nishigaki, Koichi, additional, Nishu, Nishu, additional, Oehler, Martin K, additional, Patel, Bhakti, additional, Pore, Debasis, additional, Purushothaman, Pravinkumar, additional, Ram, K. Ravi, additional, Reza Khorramizadeh, M., additional, Ricciardelli, Carmela, additional, Saadat, Farshid, additional, Saha, Malay Kumar, additional, Salawu, Emmanuel O., additional, Shanker, Rishi, additional, Sharma, Rajeev, additional, Singh, Anchal, additional, Singh, Gulshan, additional, Singh, Mithilesh, additional, Singh, Neha, additional, Singh, Surinder Pal, additional, Srivastava, Priyanka, additional, Suckow, Mark A., additional, Das, Surajit, additional, Tripathi, Richa, additional, Upadhyaya, Kailash C., additional, Uppal, Timsy, additional, Verma, Alok Kumar, additional, Verma, Anju, additional, Verma, Ashish Swarup, additional, Verma, Megha, additional, Verma, Mudit, additional, Verma, Mukesh, additional, Verma, Poonam, additional, Verma, Subhash Chandra, additional, Verma, Vipin, additional, Vyas, Suresh P., additional, Yadav, Dinesh K., additional, Yadav, Neelam, additional, Yamanaka, Koji, additional, and Yiannakopoulou, Eugenia Ch., additional

Published
2020
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