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P. Singh, Ujjainiya, R., Prakash, S., Naushin, S., Sardana, V., Bhatheja, N., Singh, A. Pratap, Barman, J., Kumar, K., Gayali, S., Khan, R., Rawat, B. Singh, Tallapaka, K. Bharadwaj, Anumalla, M., Lahiri, A., Kar, S., Bhosale, V., Srivastava, M., Mugale, M. Nilakanth, Pandey, C. P., Khan, S., Katiyar, S., Raj, D., Ishteyaque, S., Khanka, S., Rani, A., Promila,, Sharma, J., Seth, A., Dutta, M., Saurabh, N., Veerapandian, M., Venkatachalam, G., Bansal, D., Gupta, D., Halami, P. M., Peddha, M. Serva, Veeranna, R. P., Pal, A., Singh, R. Kumar, Anandasadagopan, S. Kumar, Karuppanan, P., Rahman, S. Nasar, Selvakumar, G., Venkatesan, S., Karmakar, M. Kumar, Sardana, H. Kumar, Kothari, A., Parihar, D. Singh, Thakur, A., Saifi, A., Gupta, N., Singh, Y., Reddu, R., Gautam, R., Mishra, A., Mishra, A., Gogeri, I., Rayasam, G., Padwad, Y., Patial, V., Hallan, V., Singh, D., Tirpude, N., Chakrabarti, P., Maity, S. Krishna, Ganguly, D., Sistla, R., Balthu, N. Kumar, Kumar, K. A., Ranjith, S., B. Kumar, V., Jamwal, P. Singh, Wali, A., Ahmed, S., Chouhan, R., Gandhi, S. G., Sharma, N., Rai, G., Irshad, F., Jamwal, V. Lakshmi, Paddar, M. Ahmad, Khan, S. Ullah, Malik, F., Ghosh, D., Thakkar, G., Barik, S. K., Tripathi, P., Satija, Y. Kumar, Mohanty, S., Khan, M. Tauseef, Subudhi, U., Sen, P., Kumar, R., Bhardwaj, A., Gupta, P., Sharma, D., Tuli, A., Chaudhuri, S. Ray, Krishnamurthi, S., Prakash, L., V. Rao, C., Singh, B. N., Chaurasiya, A., Chaurasiya, M., Bhadange, M., Likhitkar, B., Mohite, S., Patil, Y., Kulkarni, M., Joshi, R., Pandya, V., Mahajan, S., Patil, A., Samson, R., Vare, T., Dharne, M., Giri, A., Mahajan, S., Paranjape, S., G. Sastry, N., Kalita, J., Phukan, T., Manna, P., Romi, W., Bharali, P., Ozah, D., Sahu, R. K., Dutta, P., Singh, M. Goutam, Gogoi, G., Tapadar, Y. Begam, Babu, E. V. S. S. K., Sukumaran, R. K., Nair, A. R., Puthiyamadam, A., Valappil, P. Kooloth, Prasannakumari, A. Velayudhan, Chodankar, K., Damare, S., Agrawal, V. Varun, Chaudhary, K., Agrawal, A., Sengupta, S., and Dash, D., Machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys, Computers in Biology and Medicine, vol. 146, p. 105419, 2022.
P. Singh, Ujjainiya, R., Prakash, S., Naushin, S., Sardana, V., Bhatheja, N., Singh, A. Pratap, Barman, J., Kumar, K., Gayali, S., Khan, R., Rawat, B. Singh, Tallapaka, K. Bharadwaj, Anumalla, M., Lahiri, A., Kar, S., Bhosale, V., Srivastava, M., Mugale, M. Nilakanth, Pandey, C. P., Khan, S., Katiyar, S., Raj, D., Ishteyaque, S., Khanka, S., Rani, A., Promila,, Sharma, J., Seth, A., Dutta, M., Saurabh, N., Veerapandian, M., Venkatachalam, G., Bansal, D., Gupta, D., Halami, P. M., Peddha, M. Serva, Veeranna, R. P., Pal, A., Singh, R. Kumar, Anandasadagopan, S. Kumar, Karuppanan, P., Rahman, S. Nasar, Selvakumar, G., Venkatesan, S., Karmakar, M. Kumar, Sardana, H. Kumar, Kothari, A., Parihar, D. Singh, Thakur, A., Saifi, A., Gupta, N., Singh, Y., Reddu, R., Gautam, R., Mishra, A., Mishra, A., Gogeri, I., Rayasam, G., Padwad, Y., Patial, V., Hallan, V., Singh, D., Tirpude, N., Chakrabarti, P., Maity, S. Krishna, Ganguly, D., Sistla, R., Balthu, N. Kumar, Kumar, K. A., Ranjith, S., B. Kumar, V., Jamwal, P. Singh, Wali, A., Ahmed, S., Chouhan, R., Gandhi, S. G., Sharma, N., Rai, G., Irshad, F., Jamwal, V. Lakshmi, Paddar, M. Ahmad, Khan, S. Ullah, Malik, F., Ghosh, D., Thakkar, G., Barik, S. K., Tripathi, P., Satija, Y. Kumar, Mohanty, S., Khan, M. Tauseef, Subudhi, U., Sen, P., Kumar, R., Bhardwaj, A., Gupta, P., Sharma, D., Tuli, A., Chaudhuri, S. Ray, Krishnamurthi, S., Prakash, L., V. Rao, C., Singh, B. N., Chaurasiya, A., Chaurasiya, M., Bhadange, M., Likhitkar, B., Mohite, S., Patil, Y., Kulkarni, M., Joshi, R., Pandya, V., Mahajan, S., Patil, A., Samson, R., Vare, T., Dharne, M., Giri, A., Mahajan, S., Paranjape, S., G. Sastry, N., Kalita, J., Phukan, T., Manna, P., Romi, W., Bharali, P., Ozah, D., Sahu, R. K., Dutta, P., Singh, M. Goutam, Gogoi, G., Tapadar, Y. Begam, Babu, E. V. S. S. K., Sukumaran, R. K., Nair, A. R., Puthiyamadam, A., Valappil, P. Kooloth, Prasannakumari, A. Velayudhan, Chodankar, K., Damare, S., Agrawal, V. Varun, Chaudhary, K., Agrawal, A., Sengupta, S., and Dash, D., Machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys, Computers in Biology and Medicine, vol. 146, p. 105419, 2022.
P. Singh, Ujjainiya, R., Prakash, S., Naushin, S., Sardana, V., Bhatheja, N., Singh, A. Pratap, Barman, J., Kumar, K., Gayali, S., Khan, R., Rawat, B. Singh, Tallapaka, K. Bharadwaj, Anumalla, M., Lahiri, A., Kar, S., Bhosale, V., Srivastava, M., Mugale, M. Nilakanth, Pandey, C. P., Khan, S., Katiyar, S., Raj, D., Ishteyaque, S., Khanka, S., Rani, A., Promila,, Sharma, J., Seth, A., Dutta, M., Saurabh, N., Veerapandian, M., Venkatachalam, G., Bansal, D., Gupta, D., Halami, P. M., Peddha, M. Serva, Veeranna, R. P., Pal, A., Singh, R. Kumar, Anandasadagopan, S. Kumar, Karuppanan, P., Rahman, S. Nasar, Selvakumar, G., Venkatesan, S., Karmakar, M. Kumar, Sardana, H. Kumar, Kothari, A., Parihar, D. Singh, Thakur, A., Saifi, A., Gupta, N., Singh, Y., Reddu, R., Gautam, R., Mishra, A., Mishra, A., Gogeri, I., Rayasam, G., Padwad, Y., Patial, V., Hallan, V., Singh, D., Tirpude, N., Chakrabarti, P., Maity, S. Krishna, Ganguly, D., Sistla, R., Balthu, N. Kumar, Kumar, K. A., Ranjith, S., B. Kumar, V., Jamwal, P. Singh, Wali, A., Ahmed, S., Chouhan, R., Gandhi, S. G., Sharma, N., Rai, G., Irshad, F., Jamwal, V. Lakshmi, Paddar, M. Ahmad, Khan, S. Ullah, Malik, F., Ghosh, D., Thakkar, G., Barik, S. K., Tripathi, P., Satija, Y. Kumar, Mohanty, S., Khan, M. Tauseef, Subudhi, U., Sen, P., Kumar, R., Bhardwaj, A., Gupta, P., Sharma, D., Tuli, A., Chaudhuri, S. Ray, Krishnamurthi, S., Prakash, L., V. Rao, C., Singh, B. N., Chaurasiya, A., Chaurasiya, M., Bhadange, M., Likhitkar, B., Mohite, S., Patil, Y., Kulkarni, M., Joshi, R., Pandya, V., Mahajan, S., Patil, A., Samson, R., Vare, T., Dharne, M., Giri, A., Mahajan, S., Paranjape, S., G. Sastry, N., Kalita, J., Phukan, T., Manna, P., Romi, W., Bharali, P., Ozah, D., Sahu, R. K., Dutta, P., Singh, M. Goutam, Gogoi, G., Tapadar, Y. Begam, Babu, E. V. S. S. K., Sukumaran, R. K., Nair, A. R., Puthiyamadam, A., Valappil, P. Kooloth, Prasannakumari, A. Velayudhan, Chodankar, K., Damare, S., Agrawal, V. Varun, Chaudhary, K., Agrawal, A., Sengupta, S., and Dash, D., Machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys, Computers in Biology and Medicine, vol. 146, p. 105419, 2022.
P. Singh, Ujjainiya, R., Prakash, S., Naushin, S., Sardana, V., Bhatheja, N., Singh, A. Pratap, Barman, J., Kumar, K., Gayali, S., Khan, R., Rawat, B. Singh, Tallapaka, K. Bharadwaj, Anumalla, M., Lahiri, A., Kar, S., Bhosale, V., Srivastava, M., Mugale, M. Nilakanth, Pandey, C. P., Khan, S., Katiyar, S., Raj, D., Ishteyaque, S., Khanka, S., Rani, A., Promila,, Sharma, J., Seth, A., Dutta, M., Saurabh, N., Veerapandian, M., Venkatachalam, G., Bansal, D., Gupta, D., Halami, P. M., Peddha, M. Serva, Veeranna, R. P., Pal, A., Singh, R. Kumar, Anandasadagopan, S. Kumar, Karuppanan, P., Rahman, S. Nasar, Selvakumar, G., Venkatesan, S., Karmakar, M. Kumar, Sardana, H. Kumar, Kothari, A., Parihar, D. Singh, Thakur, A., Saifi, A., Gupta, N., Singh, Y., Reddu, R., Gautam, R., Mishra, A., Mishra, A., Gogeri, I., Rayasam, G., Padwad, Y., Patial, V., Hallan, V., Singh, D., Tirpude, N., Chakrabarti, P., Maity, S. Krishna, Ganguly, D., Sistla, R., Balthu, N. Kumar, Kumar, K. A., Ranjith, S., B. Kumar, V., Jamwal, P. Singh, Wali, A., Ahmed, S., Chouhan, R., Gandhi, S. G., Sharma, N., Rai, G., Irshad, F., Jamwal, V. Lakshmi, Paddar, M. Ahmad, Khan, S. Ullah, Malik, F., Ghosh, D., Thakkar, G., Barik, S. K., Tripathi, P., Satija, Y. Kumar, Mohanty, S., Khan, M. Tauseef, Subudhi, U., Sen, P., Kumar, R., Bhardwaj, A., Gupta, P., Sharma, D., Tuli, A., Chaudhuri, S. Ray, Krishnamurthi, S., Prakash, L., V. Rao, C., Singh, B. N., Chaurasiya, A., Chaurasiya, M., Bhadange, M., Likhitkar, B., Mohite, S., Patil, Y., Kulkarni, M., Joshi, R., Pandya, V., Mahajan, S., Patil, A., Samson, R., Vare, T., Dharne, M., Giri, A., Mahajan, S., Paranjape, S., G. Sastry, N., Kalita, J., Phukan, T., Manna, P., Romi, W., Bharali, P., Ozah, D., Sahu, R. K., Dutta, P., Singh, M. Goutam, Gogoi, G., Tapadar, Y. Begam, Babu, E. V. S. S. K., Sukumaran, R. K., Nair, A. R., Puthiyamadam, A., Valappil, P. Kooloth, Prasannakumari, A. Velayudhan, Chodankar, K., Damare, S., Agrawal, V. Varun, Chaudhary, K., Agrawal, A., Sengupta, S., and Dash, D., Machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys, Computers in Biology and Medicine, vol. 146, p. 105419, 2022.
P. Singh, Ujjainiya, R., Prakash, S., Naushin, S., Sardana, V., Bhatheja, N., Singh, A. Pratap, Barman, J., Kumar, K., Gayali, S., Khan, R., Rawat, B. Singh, Tallapaka, K. Bharadwaj, Anumalla, M., Lahiri, A., Kar, S., Bhosale, V., Srivastava, M., Mugale, M. Nilakanth, Pandey, C. P., Khan, S., Katiyar, S., Raj, D., Ishteyaque, S., Khanka, S., Rani, A., Promila,, Sharma, J., Seth, A., Dutta, M., Saurabh, N., Veerapandian, M., Venkatachalam, G., Bansal, D., Gupta, D., Halami, P. M., Peddha, M. Serva, Veeranna, R. P., Pal, A., Singh, R. Kumar, Anandasadagopan, S. Kumar, Karuppanan, P., Rahman, S. Nasar, Selvakumar, G., Venkatesan, S., Karmakar, M. Kumar, Sardana, H. Kumar, Kothari, A., Parihar, D. Singh, Thakur, A., Saifi, A., Gupta, N., Singh, Y., Reddu, R., Gautam, R., Mishra, A., Mishra, A., Gogeri, I., Rayasam, G., Padwad, Y., Patial, V., Hallan, V., Singh, D., Tirpude, N., Chakrabarti, P., Maity, S. Krishna, Ganguly, D., Sistla, R., Balthu, N. Kumar, Kumar, K. A., Ranjith, S., B. Kumar, V., Jamwal, P. Singh, Wali, A., Ahmed, S., Chouhan, R., Gandhi, S. G., Sharma, N., Rai, G., Irshad, F., Jamwal, V. Lakshmi, Paddar, M. Ahmad, Khan, S. Ullah, Malik, F., Ghosh, D., Thakkar, G., Barik, S. K., Tripathi, P., Satija, Y. Kumar, Mohanty, S., Khan, M. Tauseef, Subudhi, U., Sen, P., Kumar, R., Bhardwaj, A., Gupta, P., Sharma, D., Tuli, A., Chaudhuri, S. Ray, Krishnamurthi, S., Prakash, L., V. Rao, C., Singh, B. N., Chaurasiya, A., Chaurasiya, M., Bhadange, M., Likhitkar, B., Mohite, S., Patil, Y., Kulkarni, M., Joshi, R., Pandya, V., Mahajan, S., Patil, A., Samson, R., Vare, T., Dharne, M., Giri, A., Mahajan, S., Paranjape, S., G. Sastry, N., Kalita, J., Phukan, T., Manna, P., Romi, W., Bharali, P., Ozah, D., Sahu, R. K., Dutta, P., Singh, M. Goutam, Gogoi, G., Tapadar, Y. Begam, Babu, E. V. S. S. K., Sukumaran, R. K., Nair, A. R., Puthiyamadam, A., Valappil, P. Kooloth, Prasannakumari, A. Velayudhan, Chodankar, K., Damare, S., Agrawal, V. Varun, Chaudhary, K., Agrawal, A., Sengupta, S., and Dash, D., Machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys, Computers in Biology and Medicine, vol. 146, p. 105419, 2022.
P. P. Hankare, Patil, R. P., Sankpal, U. B., Garadkar, K. M., Sasikala, R., Tripathi, A. K., and Mulla, I. S., Magnetic, dielectric and complex impedance spectroscopic studies of nanocrystalline Cr substituted Li-ferrite, Journal of Magnetism and Magnetic Materials, vol. 322, no. 18, pp. 2629-2633, 2010.
K. Tarade, Shinde, S., and Rode, C., Magnetically separable catalyst for condensation of renewable aldehydes and 2-methylfuran to saturated cyclic oxygenates, Fuel Processing Technology, vol. 197, p. 106191, 2020.
S. Vinayasree, Nitha, T. S., Tiwary, C. S., Ajayan, P. M., Joy, P. A., and Anantharaman, M. R., Magnetically tunable liquid dielectric with giant dielectric permittivity based on core-shell superparamagnetic iron oxide, Nanotechnology, vol. 29, no. 26, p. Article Number: 265707, 2018.
A. Singh, Gotherwal, V., Junni, P., Vijayan, V., Tiwari, M., Ganju, P., Kumar, A., Sharma, P., Fatima, T., Gupta, A., Holla, A., Kar, H. K., Khanna, S., Thukral, L., Malik, G., Natarajan, K., Gadgil, C. J., Lahesmaa, R., Natarajan, V. T., Rani, R., and Gokhale, R. S., Mapping architectural and transcriptional alterations in non-lesional and lesional epidermis in vitiligo, Scientific Reports, vol. 7, no. Article Number: 9860, 2017.
A. Singh, Gotherwal, V., Junni, P., Vijayan, V., Tiwari, M., Ganju, P., Kumar, A., Sharma, P., Fatima, T., Gupta, A., Holla, A., Kar, H. K., Khanna, S., Thukral, L., Malik, G., Natarajan, K., Gadgil, C. J., Lahesmaa, R., Natarajan, V. T., Rani, R., and Gokhale, R. S., Mapping architectural and transcriptional alterations in non-lesional and lesional epidermis in vitiligo, Scientific Reports, vol. 7, no. Article Number: 9860, 2017.
R. Patil, Torris, A., Bhat, S., and Patil, S., Mapping fusogenicity of ciprofloxacin-loaded liposomes with bacterial cells, AAPS Pharmscitech, vol. 20, no. 5, p. 180, 2019.
A. Torris, Nair, S., Mol, K. P. Raji, Sengupta, P., and Badiger, M., Mechanical and microstructural studies in a polysaccharide-acrylate double network hydrogel, Journal of the Mechanical Behavior of Biomedical Materials, vol. 124, p. 104839, 2021.
A. V. Divakaran, Azad, L. Busher, Surwase, S. S., Torris, A. A. T., and Badiger, M. V., Mechanically tunable curcumin incorporated polyurethane hydrogels as potential biomaterials, Chemistry of Materials, vol. 28, no. 7, pp. 2120-2130, 2016.
I. Kumar Maurya, Thota, C. Kumar, Sharma, J., Tupe, S. Genba, Chaudhary, P., Singh, M. Kumar, Thakur, I. Shekhar, Deshpande, M. V., Prasad, R., and Chauhan, V. Singh, Mechanism of action of novel synthetic dodecapeptides against Candida albicans, Biochimica Et Biophysica Acta-General Subjects, vol. 1830, no. 11, pp. 5193-5203, 2013.
I. Kumar Maurya, Thota, C. Kumar, Sharma, J., Tupe, S. Genba, Chaudhary, P., Singh, M. Kumar, Thakur, I. Shekhar, Deshpande, M. V., Prasad, R., and Chauhan, V. Singh, Mechanism of action of novel synthetic dodecapeptides against Candida albicans, Biochimica Et Biophysica Acta-General Subjects, vol. 1830, no. 11, pp. 5193-5203, 2013.
I. Kumar Maurya, Thota, C. Kumar, Sharma, J., Tupe, S. Genba, Chaudhary, P., Singh, M. Kumar, Thakur, I. Shekhar, Deshpande, M. V., Prasad, R., and Chauhan, V. Singh, Mechanism of action of novel synthetic dodecapeptides against Candida albicans, Biochimica Et Biophysica Acta-General Subjects, vol. 1830, no. 11, pp. 5193-5203, 2013.
K. K. Singh, Tiwari, M. K., Dhar, B. B., Vanka, K., and Gupta, S. Sen, Mechanism of oxygen atom transfer from Fe-V(O) to olefins at room temperature, Inorganic Chemistry, vol. 54, no. 13, pp. 6112-6121, 2015.
A. A. Deshpande, Torris, A. A. T., Pahari, S., Menon, S. K., Badiger, M. V., Rajamohanan, P. R., Wadgaonkar, P. P., Roy, S., and Tonelli, C., Mechanism of the formation of microphase separated water clusters in a water-mediated physical network of perfluoropolyether tetraol, Soft Matter, vol. 14, pp. 2339-2345, 2018.
A. A. Deshpande, Torris, A. A. T., Pahari, S., Menon, S. K., Badiger, M. V., Rajamohanan, P. R., Wadgaonkar, P. P., Roy, S., and Tonelli, C., Mechanism of the formation of microphase separated water clusters in a water-mediated physical network of perfluoropolyether tetraol, Soft Matter, vol. 14, pp. 2339-2345, 2018.
A. Nisar, Ajabia, D. K., Agrawal, S. B., Varma, S., Chaudhari, B. P., and Tupe, R. S., Mechanistic insight into differential interactions of iron oxide nanoparticles with native, glycated albumin and their effect on erythrocytes parameters, International Journal of Biological Macromolecules, vol. 212, pp. 232-247, 2022.
P. Dongapure, Tekawadia, J., Thundiyil, S., Caha, I., Deepak, F. Leonard, and R. Devi, N., Mechanistic insights into near ambient pressure activity of intermetallic NiZn/TiO2 catalyst for CO2 conversion to methanol, ChemCatChem, vol. 15, no. 1, 2023.
P. Dongapure, Tekawadia, J., Thundiyil, S., Caha, I., Deepak, F. Leonard, and R. Devi, N., Mechanistic insights into near ambient pressure activity of intermetallic NiZn/TiO2 catalyst for CO2 conversion to methanol, ChemCatChem, vol. 15, no. 1, 2023.
P. Deulgaonkar, Bhambure, R., Prasad, B., Mishra, A., Tiwari, S., and Mody, R., Mechanistic modeling of continuous capture step purification of biosimilar monoclonal antibody therapeutic, Journal of Chemical Technology and Biotechnology, vol. 97, no. 9, pp. 2404-2419, 2022.
K. D. Trimukhe and Varma, A., Metal complexes of crosslinked chitosans: correlations between metal ion complexation values and thermal properties, Carbohydrate Polymers, vol. 75, no. 1, pp. 63-70, 2009.
K. D. Trimukhe, Bachate, S., Gokhale, D. V., and Varma, A., Metal complexes of crosslinked chitosans. part II. an investigation of their hydrolysis to chitooligosaccharides using chitosanase, International Journal of Biological Macromolecules, vol. 41, no. 5, pp. 491-496, 2007.
A. T. Biradar Tamboli, Kirdant, S. P., and Jadhav, V. H., Metal-free approach towards efficient synthesis of FDCA using a p-toluene sulfonic acid (p-TSA)-derived heterogeneous solid acid catalyst and oxone over two steps from HMF, fructose and glucose, New Journal of Chemistry, vol. 46, no. 21, pp. 10272-10279, 2022.
S. D. Tambe, Jadhav, M. S., Rohokale, R. S., and Kshirsagar, U. A., Metal-free synthesis of 3-thiocyanatobenzothiophenes by eosin Y photoredox-catalyzed cascade radical annulation of 2-alkynylthioanisoles, European Journal of Organic Chemistry, no. 35, pp. 4867-4873, 2018.
A. B. Deshmukh, Bai, S., Aarthy, T., Kazi, R. S., Banarjee, R., Rathore, R., Vijayakumar, M. V., Thulasiram, H. V., Bhat, M. Kumar, and Kulkarni, M. J., Methylglyoxal attenuates insulin signaling and downregulates the enzymes involved in cholesterol biosynthesis, Molecular Biosystems, vol. 13, no. 11, pp. 2338-2349, 2017.
K. S. Thushara, Gnanakumar, E. S., Mathew, R., Ajithkumar, T. G., Rajamohanan, P. R., Bhaduri, S., and Gopinath, C. S., MgCl2 center dot 4((CH3)(2)CHCH2OH): a new molecular adduct for the preparation of TiClx/MgCl2 catalyst for olefin polymerization, Dalton Transactions, vol. 41, no. 37, pp. 11311-11318, 2012.
K. S. Thushara, Mathew, R., Ajithkumar, T. G., Rajamohanan, P. R., Bhaduri, S., and Gopinath, C. S., MgCl2 center dot 4(CH3)(2)CHOH: a new molecular adduct and super active polymerization catalyst support, Journal of Physical Chemistry C, vol. 113, no. 20, pp. 8556-8559, 2009.
E. S. Gnanakumar, Thushara, K. S., Gowda, R. R., Raman, S. K., Ajithkumar, T. G., Rajamohanan, P. R., Chakraborty, D., and Gopinath, C. S., MgCl2 center dot 6C(6)H(11)OH: a high mileage porous support for ziegler-natta catalyst, Journal of Physical Chemistry C, vol. 116, no. 45, pp. 24115-24122, 2012.
E. S. Gnanakumar, Thushara, K. S., Bhange, D. S., Mathew, R., Ajithkumar, T. G., Rajamohanan, P. R., Bhaduri, S., and Gopinath, C. S., MgCl2 center dot 6PhCH(2)OH - a new molecular adduct as support material for ziegler-natta catalyst: synthesis, characterization and catalytic activity, Dalton Transactions, vol. 40, no. 41, pp. 10936-10944, 2011.
R. R. Mawlankar, Mual, P., Sonalkar, V. V., Thorat, M. N., Verma, A., Srinivasan, K., and Dastager, S. Gulam, Microbacterium enclense sp nov., isolated from sediment sample, International Journal of Systematic and Evolutionary Microbiology, vol. 65, pp. 2064-2070, 2015.
R. R. Mawlankar, Mual, P., Sonalkar, V. V., Thorat, M. N., Verma, A., Srinivasan, K., and Dastager, S. G., Microbacterium enclense sp. nov., isolated from sediment sample (vol 65, pg 2064, 2015), International Journal of Systematic and Evolutionary Microbiology, vol. 69, no. 5, p. 1528, 2019.
R. Nirmal Jain, Abraham, S., Karad, R. Ramesh, Najan, H. Balasaheb, Vaswani, S. Dhruvkumar, and Torris, A., Micro-computed tomographic analysis of the marginal adaptation of a calcium silicate-based cement to radicular dentin after removal of three different intracanal medicaments - an in vitro study, Journal of Conservative Dentistry, vol. 23, no. 6, pp. 598-603, 2021.
S. Ratnakar Thengane, Bhosle, S. V., Deodhar, S. R., Pawar, K. D., and Kulkarni, D. K., Micropropagation of Indian laurel (Calophyllum inophyllum), a source of anti-HIV compounds, Current Science, vol. 90, no. 10, pp. 1393-1397, 2006.
S. Bhogale, Mahajan, A. S., Natarajan, B., Rajabhoj, M., Thulasiram, H. V., and Banerjee, A. K., MicroRNA156: a potential graft-transmissible microrna that modulates plant architecture and tuberization in solanum tuberosum ssp andigena, Plant Physiology, vol. 164, no. 2, pp. 1011-1027, 2014.
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