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2022
R. Akhtar, Kaulage, S. H., Sangole, M. P., Tothadi, S., Parvathy, P., Parameswaran, P., Singh, K., and Khan, S., “First-row transition metal complexes of a phosphine-silylene- based hybrid ligand”, Inorganic Chemistry, vol. 61, no. 34, pp. 13330-13341, 2022.
R. Akhtar, Kaulage, S. H., Sangole, M. P., Tothadi, S., Parvathy, P., Parameswaran, P., Singh, K., and Khan, S., “First-row transition metal complexes of a phosphine-silylene- based hybrid ligand”, Inorganic Chemistry, vol. 61, no. 34, pp. 13330-13341, 2022.
A. B. Deshmukh, Biradar, M. R., Pawar, M. D., Bhosale, S. V., and Shelke, M. V., “Flexible ultracapacitor device fabricated with an organic electrode material- naphthalene diimide nitrile/reduced graphene oxide”, Journal of Energy Storage, vol. 56, p. 106036, 2022.
A. Vagga, Aherrao, S., Pol, H., and Borkar, V., “Flow visualization by Matlab® based image analysis of high-speed polymer melt extrusion film casting process for determining necking defect and quantifying surface velocity profiles”, Advanced Industrial and Engineering Polymer Research, vol. 5, no. 1, pp. 1-11, 2022.
S. Ughade, Joshi, B., and Poddar, P., “Formation of zircon-type DyCrO4 and its magnetic properties”, Ceramics International, vol. 48, no. 17, pp. 24666-24676, 2022.
S. Prasad Mekala, Prabu, M., Gawali, S. Datta, Gopakumar, K., Gogoi, P., Bhatkar, A. Ravindra, Mohapatra, G., Unnikrishanan, E., and Raja, T., “Green synthesis of cyclohexanone to adipic acid over Fe-W oxides incorporated mesoporous carbon support”, Catalysis Communications, vol. 168, p. 106466, 2022.
R. Pandit Dhavale, Patil, S. Sanjay, Jadhav, S. Ujwal, Dhavale, R. Pandit, and Agawane, S. Bharat, “Green synthesis-mediated iron oxide nanoparticles using sphagneticola trilobata (L.) for antibacterial and anticancer assessment”, Pharmacognosy Magazine, vol. 18, no. 80, pp. 953-961, 2022.
R. Das, Das, K., Ray, B., Vinod, C. P., and Peter, S. C., “Green transformation of CO2 to ethanol using water and sunlight by the combined effect of naturally abundant red phosphorus and Bi2MoO6”, Energy & Environmental Science, vol. 15, no. 5, pp. 1967-1976, 2022.
V. A. Prabhu, Rajput, V., Yadav, R., Gohil, K., Dharne, M. S., Unnikrishnan, M. Kesavan, and Gorthi, S. Prasad, “Gut microbiota dysbiosis in patients with intracranial sino-venous thrombosis and acute ischemic stroke in the young”, Annals of Indian Academy of Neurology, vol. 25, no. 5, p. 980+, 2022.
D. Bhutani, Maity, S., Chaturvedi, S., Chalapathi, D., V. Waghmare, U., Narayana, C., Prabhakaran, V. C., and Muthusamy, E., “Heterostructure from heteromixture: unusual OER activity of FeP and CoP nanostructures on physical mixing”, Journal of Materials Chemistry A, vol. 10, no. 42, pp. 22354-22362, 2022.
T. Dharmadhikari, Rajput, V., Yadav, R., Boargaonkar, R., Patil, D., Kale, S., Kamble, S. P., Dastager, S. G., and Dharne, M. S., “High throughput sequencing based direct detection of SARS-CoV-2 fragments in wastewater of Pune, West India”, Science of the Total Environment, vol. 807, p. 151038, 2022.
S. Ahmad Khan, Verma, P., and Parasharami, V. A., “Homo and heterologous expression of the HpPKS2 gene in Hypericum perforatum and Bacopa monnieri”, Plant Cell Tissue and Organ Culture, no. 1, pp. 215-215, 2022.
I. Karbhal, Chaturvedi, V., Patrike, A., Yadav, P., and , “Honeycomb boron carbon nitride as high-performance anode material for li-ion batteries”, ChemNanoMat, vol. 8, no. 7, p. e202200056, 2022.
S. Yadav, Rajpurohit, D., Dash, S. Ranjan, Bhojani, G., Chatterjee, S., and Paital, A. Ranjan, “Hybrid material for ferric ion detection & remediation: exceptional selectivity & adsorption capacity with biological applications”, Microporous and Mesoporous Materials, vol. 338, p. 111945, 2022.
N. Kulkarni-Dwivedi, Patel, P. R., V. Shravage, B., Umrani, R. D., Paknikar, K. M., and Jadhav, S. H., “Hyperthermia and doxorubicin release by Fol-LSMO nanoparticles induce apoptosis and autophagy in breast cancer cells”, Nanomedicine, vol. 17, no. 25, pp. 1929-1949, 2022.
N. Kulkarni-Dwivedi, Patel, P. R., V. Shravage, B., Umrani, R. D., Paknikar, K. M., and Jadhav, S. H., “Hyperthermia and doxorubicin release by Fol-LSMO nanoparticles induce apoptosis and autophagy in breast cancer cells”, Nanomedicine, vol. 17, no. 25, pp. 1929-1949, 2022.
M. Goldsmith, Barad, S., Knafo, M., Savidor, A., Ben-Dor, S., Brandis, A., Mehlman, T., Peleg, Y., Albeck, S., Dym, O., Ben-Zeev, E., Barbole, R. S., Aharoni, A., and Reich, Z., “Identification and characterization of the key enzyme in the biosynthesis of the neurotoxin beta-ODAP in grass pea”, Journal of Biological Chemistry, vol. 298, no. 5, p. 101806, 2022.
N. Munot, Kandekar, U., Rikame, C., Patil, A., Sengupta, P., Urooj, S., and Bilal, A., “Improved mucoadhesion, permeation and in vitro anticancer potential of synthesized thiolated acacia and karaya gum combination: a systematic study”, Molecules, vol. 27, no. 20, p. 6829, 2022.
S. Chakraborty, Marappa, S., Agarwal, S., Bagchi, D., Rao, A., Vinod, C. P., Peter, S. C., Singh, A., and Eswaramoorthy, M., “Improvement in oxygen evolution performance of NiFe layered double hydroxide grown in the presence of 1T-Rich MoS2”, ACS Applied Materials & Interfaces, vol. 14, no. 28, pp. 31951-31961, 2022.
R. Pandya, Mane, R., and Rode, C., “Influence of catalyst reduction temperature on autogenous glycerol hydrogenolysis over NiAl catalyst”, Asian Journal of Organic Chemistry, vol. 11, no. 2, p. e202100704, 2022.
M. Kurian, Ghosh, M., Vijayakumar, V., Puthiyaveetil, P. Pandinhare, Torris, A., and Kurungot, S., “Influence of ice templating on oxygen reduction catalytic activity of metal-free heteroatom-doped mesoporous carbon derived from polypyrrole for zinc-air batteries”, Energy Technology, vol. 10, no. 12, 2022.
A. Cherevotan, Ray, B., Churipard, S. R., Kaur, K., Gautam, U. K., Vinod, C. P., and Peter, S. C., “Influence of support textural property on CO2 to methane activity of Ni/ SiO2 catalysts”, Applied Catalysis B-Environmental, vol. 317, p. 121692, 2022.
R. D. Parate, Dharne, M. S., and V. Rode, C., “Integrated chemo and bio-catalyzed synthesis of 2,5-furandicarboxylic acid from fructose derived 5-hydroxymethylfurfural”, Biomass & Bioenergy, vol. 161, p. 106474, 2022.
P. B. Patil, Thanekar, P., and Bhandari, V. M., “Intensified hydrodynamic cavitation using vortex flow based cavitating device for degradation of ciprofloxacin”, Chemical Engineering Research & Design, vol. 187, pp. 623-632, 2022.
R. D. Mule, Roy, R., Mandal, K., Chopra, D., Dutta, T., Sancheti, S. P., Shinde, P. S., Banerjee, S., Koner, A. Lal, Bhowal, R., Senthilkumar, B., and Patil, N. T., “Interplay of anion-pi(+) and pi(+)-pi(+) interactions in novel pyrido[2,1-a]isoquinolinium-based aiegens - substituent- and counterion-dependent fluorescence modulation and applications in live cell mitochondrial imaging”, Chemistry-A European Journal, vol. 28, no. 38, p. e202200632, 2022.
A. Ghosh, Pawar, A. B., Chirmade, T., Jathar, S. M., Bhambure, R., Sengupta, D., Giri, A. P., and Kulkarni, M. J., “Investigation of the captopril-insulin interaction by mass spectrometry and computational approaches reveals that captopril induces structural changes in insulin”, ACS Omega, vol. 7, no. 27, pp. 23115-23126, 2022.
S. Mane, Pathan, E., Tupe, S., Deshmukh, S., Kale, D., Ghormade, V., Chaudhari, B., and Deshpande, M., “Isolation and characterization of chitosans from different fungi with special emphasis on zygomycetous dimorphic fungus benjaminiella poitrasii: evaluation of its chitosan nanoparticles for the inhibition of human pathogenic fungi”, Biomacromolecules, p. null, 2022.
K. Mehdiratta, Singh, S., Sharma, S., Bhosale, R. S., Choudhury, R., Masal, D. P., Manocha, A., Dhamale, B. Dilip, Khan, N., Asokachandran, V., Sharma, P., Ikeh, M., Brown, A. C., Parish, T., Ojha, A. K., Michael, J. Sarojini, Faruq, M., Medigeshi, G. R., Mohanty, D., D. Reddy, S., Natarajan, V. T., Kamat, S. S., and Gokhale, R. S., “Kupyaphores are zinc homeostatic metallophores required for colonization of Mycobacterium tuberculosis”, Proceedings of the National Academy of Sciences of the United States of America, vol. 119, no. 8, p. e2110293119, 2022.
J. R. Shimpi and V. Prasad, B. L., “Ligands as ``Matchmakers'': alloying from a physical mixture of metal nanoparticle dispersions by digestive ripening”, Langmuir, vol. 38, no. 51, pp. 15917-15924, 2022.
M. Christopher, Sreeja-Raju, A., Sankar, M., Gokhale, D. Vitthal, Pandey, A., and Sukumaran, R. K., “Lignocellulose degradation by Penicillium janthinellum enzymes is influenced by its variable secretome and a unique set of feedstock characteristics”, Bioresource Technology, vol. 365, p. 128129, 2022.
S. Jyotsna, Sadhu, S., Sharma, V., Gupta, P., Sharma, G., and Poddar, P., “Luminescence turn-off detection of metal ions and explosives using graphene quantum dots”, MRS Communications, vol. 12, no. 2, pp. 168-174, 2022.
R. Kumar, Pahar, S., Chatterjee, J., Dash, S. Ranjan, Gonnade, R. G., Vanka, K., and Sen, S. S., “Luminescent magnesium complexes with intra- and inter-ligand charge transfer”, Chemical Communications, vol. 58, no. 84, pp. 11843-11846, 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. 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. 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. 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.
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A. Sen, Kumar, R., Pandey, S., K. Raj, V., Kumar, P., Vanka, K., and Chikkali, S. H., “Mechanistically guided one pot synthesis of phosphine-phosphite and its implication in asymmetric hydrogenation”, European Journal of Organic Chemistry, vol. 2022, no. 2, p. e202101447, 2022.
S. Prakash, Malshikare, H., and Sengupta, D., “Molecular mechanisms underlying caveolin-1 mediated membrane curvature”, Journal of Membrane Biology, vol. 255, no. 2-3, pp. 225-236, 2022.
S. Kumari Yadav, Panwar, D., Singh, A., Tellis, M. B., Joshi, R. Shamsunder, and Dixit, A., “Molecular phylogeny, structure modeling and in silico screening of putative inhibitors of aerolysin of Aeromonas hydrophila EUS112”, Journal of Biomolecular Structure & Dynamics, vol. 40, no. 19, 2022.
S. Mondal, Sarkar, S., Bagchi, D., Das, T., Das, R., Singh, A. Kumar, Prasanna, P. Kechanda, Vinod, C. P., Chakraborty, S., and Peter, S. C., “Morphology-tuned Pt3Ge accelerates water dissociation to industrial-standard hydrogen production over a wide pH range”, Advanced Materials, vol. 34, no. 30, p. 2202294, 2022.
S. Mondal, Sarkar, S., Bagchi, D., Das, T., Das, R., Singh, A. Kumar, Prasanna, P. Kechanda, Vinod, C. P., Chakraborty, S., and Peter, S. C., “Morphology-tuned Pt3Ge accelerates water dissociation to industrial-standard hydrogen production over a wide pH range”, Advanced Materials, vol. 34, no. 30, p. 2202294, 2022.
K. Wasnik, Pawar, M. D., Raphael, L. Rose, Pullanchiyodan, A., V. Shelke, M., and Raghavan, P., “MXenes: advances in the synthesis and application in supercapacitors and batteries”, Journal of Materials Research, vol. 37, no. 22, pp. 3865-3889, 2022.
K. Wasnik, Pawar, M. D., Raphael, L. Rose, Pullanchiyodan, A., V. Shelke, M., and Raghavan, P., “MXenes: advances in the synthesis and application in supercapacitors and batteries”, Journal of Materials Research, vol. 37, no. 22, pp. 3865-3889, 2022.
R. Das, Sarkar, S., Kumar, R., Ramarao, S. D., Cherevotan, A., Jasil, M., Vinod, C. P., Singh, A. Kumar, and Peter, S. C., “Noble-metal-free heterojunction photocatalyst for selective CO2 reduction to methane upon induced strain relaxation”, ACS Catalysis, vol. 12, no. 1, pp. 687-697, 2022.
T. R. Shaikh, George, C. P., Bhukya, P., Shelke, N., Pawar, K., Garai, A., Dandela, R., Gonnade, R. G., and Nangia, A. K., “Novel crystal forms of Entresto: a supramolecular complex of trisodium sacubitril/valsartan hemi-pentahydrate”, Crystengcomm, vol. 24, no. 42, pp. 7387-7393, 2022.
N. Rao, Lele, A. K., and Patwardhan, A. W., “Optimization of Liquid Organic Hydrogen Carrier (LOHC) dehydrogenation system”, International Journal of Hydrogen Energy, vol. 47, no. 66, pp. 28530-28547, 2022.
V. Wagh, Patel, H., Patel, N., Vamkudoth, K. Rao, and Ajmera, S., “Pectinase production by aspergillus niger and its applications in fruit juice clarification”, Journal of Pure and Applied Microbiology, vol. 16, no. 4, pp. 2724-2737, 2022.
V. Wagh, Patel, H., Patel, N., Vamkudoth, K. Rao, and Ajmera, S., “Pectinase production by aspergillus niger and its applications in fruit juice clarification”, Journal of Pure and Applied Microbiology, vol. 16, no. 4, pp. 2724-2737, 2022.
K. Koner, Karak, S., Kandambeth, S., Karak, S., Thomas, N., Leanza, L., Perego, C., Pesce, L., Capelli, R., Moun, M., Bhakar, M., Ajithkumar, T. G., Pavan, G. M., and Banerjee, R., “Porous covalent organic nanotubes and their assembly in loops and toroids”, Nature Chemistry, vol. 14, no. 5, p. 507+, 2022.
K. Koner, Karak, S., Kandambeth, S., Karak, S., Thomas, N., Leanza, L., Perego, C., Pesce, L., Capelli, R., Moun, M., Bhakar, M., Ajithkumar, T. G., Pavan, G. M., and Banerjee, R., “Porous covalent organic nanotubes and their assembly in loops and toroids”, Nature Chemistry, vol. 14, no. 5, p. 507+, 2022.
K. Koner, Karak, S., Kandambeth, S., Karak, S., Thomas, N., Leanza, L., Perego, C., Pesce, L., Capelli, R., Moun, M., Bhakar, M., Ajithkumar, T. G., Pavan, G. M., and Banerjee, R., “Porous covalent organic nanotubes and their assembly in loops and toroids”, Nature Chemistry, vol. 14, no. 5, p. 507+, 2022.
D. Bagchi, Sarkar, S., Singh, A. Kumar, Vinod, C. P., and Peter, S. C., “Potential- and time-dependent dynamic nature of an oxide-derived pdin nanocatalyst during electrochemical CO2 reduction”, ACS Nano, vol. 16, no. 4, pp. 6185-6196, 2022.
M. Abdulghani, Iram, R., Chidrawar, P., Bhosle, K., Kazi, R., Patil, R., Kharat, K., and Zore, G., “Proteomic profile of candida albicans biofilm”, Journal of Proteomics, vol. 265, p. 104661, 2022.
R. P. Sowjanya, Shilpa, P., Patil, G. Prakash, Babu, D. Karuppanna, Sharma, J., Sangnure, V. R., Mundewadikar, D. M., Natarajan, P., Marathe, A. Rajiv, Reddy, U. K., and Singh, V. Nripendra, “Reference quality genome sequence of Indian pomegranate cv. `Bhagawa' (Punica granatum L.)”, Frontiers in Plant Science, vol. 13, p. 947164, 2022.
M. Ghalawat and Poddar, P., “Remarkable effect of Fe and Se composition on magnetic properties-comparative study of the Fe-Se system at the nanoscale”, Journal of Physical Chemistry C, vol. 126, no. 9, pp. 4655-4663, 2022.
A. Patrike, Yadav, P., Shelke, V., and Shelke, M., “Research progress and perspective on lithium/sodium metal anodes for next-generation rechargeable batteries”, ChemSusChem, vol. 15, no. 14, p. e202200504, 2022.
A. B. Shabade, Sharma, D. M., Bajpai, P., Gonnade, R. G., Vanka, K., and Punji, B., “Room temperature chemoselective hydrogenation of C=C, C=O and C=N bonds by using a well-defined mixed donor Mn(I) pincer catalyst”, Chemical Science, vol. 13, no. 46, pp. 13764-13773, 2022.
D. M. Sharma, Gouda, C., Gonnade, R. G., and Punji, B., “Room temperature Z-selective hydrogenation of alkynes by hemilabile and non-innocent (NNN)Co(ii) catalysts”, Catalysis Science & Technology, vol. 12, no. 6, pp. 1843-1849, 2022.
P. M. Kodam, Ghadage, P. A., Nadargi, D. Y., Shinde, K. P., Mulla, I. S., Park, J. S., and Suryavanshi, S. S., “Ru, Pd doped WO3 nanomaterials: a synergistic effect of noble metals to enhance the acetone response properties”, Ceramics International, vol. 48, no. 12, pp. 17923-17933, 2022.
K. Asokan, Patil, M. Krishnat, Mukherjee, S. Porel, Sukumaran, S. Babu, and Nandakumar, T., “Scalable mechanochemical synthesis of beta-ketoenamine-linked covalent organic frameworks for methane storage”, Chemistry-An Asian Journal, vol. 17, no. 24, 2022.
P. Patel, Patil, T., Maiti, S., Paul, D., and Amaresan, N., “Screening of osmotic stress-tolerant bacteria for plant growth promotion in wheat (Triticum aestivum L.) and brinjal (Solanum melongena L.) under drought conditions”, Letters in Applied Microbiology, vol. 75, no. 5, pp. 1286-1292, 2022.
P. Patel, Patil, T., Maiti, S., Paul, D., and Amaresan, N., “Screening of osmotic stress-tolerant bacteria for plant growth promotion in wheat (Triticum aestivum L.) and brinjal (Solanum melongena L.) under drought conditions”, Letters in Applied Microbiology, vol. 75, no. 5, pp. 1286-1292, 2022.
P. Patel, Patil, T., Maiti, S., Paul, D., and Amaresan, N., “Screening of osmotic stress-tolerant bacteria for plant growth promotion in wheat (Triticum aestivum L.) and brinjal (Solanum melongena L.) under drought conditions”, Letters in Applied Microbiology, vol. 75, no. 5, pp. 1286-1292, 2022.
M. D. Baravkar and Prasad, B. L. V., “Selective electro-oxidation of phenol to 1,4-hydroquinone employing carbonaceous electrodes: surface modification is the key”, New Journal of Chemistry, vol. 46, pp. 2518-2525, 2022.
L. Gurrala, M. Kumar, M., Sharma, S., Paek, C., and Vinu, R., “Selective production of C9 monomeric phenols via hydrogenolysis of lignin using Pd-(W/Zr/Mo oxides)-supported on biochar catalyst”, Fuel, vol. 308, p. 121818, 2022.
E. Joseph, Kane, K., Parekh, N., Nisal, A., and V. Janorkar, A., “Silk fibroin and recombinant elastin blend nano-coatings for implantable medical devices”, Materials Today Communications, vol. 33, p. 104875, 2022.
P. B. Patil and Bhandari, V. M., “Solvent-assisted cavitation for enhanced removal of organic pollutants - degradation of 4-aminophenol”, Journal of Environmental Management, vol. 311, p. 114857, 2022.
D. Nadargi, Umar, A., Nadargi, J., Patil, J., Mulla, I., Akbar, S., and Suryavanshi, S., “Spinel magnesium ferrite (MgFe2O4): a glycine-assisted colloidal combustion and its potentiality in gas-sensing application”, Chemosensors, vol. 10, no. 9, p. 361, 2022.
A. Ghadage, Kodam, P., Nadargi, D., Shinde, K. P., Mulla, I., Park, J. S., and Suryavanshi, S., “Sponge microflowers of NiCo2O4: a versatile material for high performance supercapacitor”, Journal of Porous Materials, vol. 29, no. 4, pp. 1239-1252, 2022.
S. Panda, Jozwiak, A., Sonawane, P. D., Szymanski, J., Kazachkova, Y., Vainer, A., Kilambi, H. Vasuki, Almekias-Siegl, E., Dikaya, V., Bocobza, S., Shohat, H., Meir, S., Wizler, G., Giri, A. P., Schuurink, R., Weiss, D., Yasuor, H., Kamble, A., and Aharoni, A., “Steroidal alkaloids defence metabolism and plant growth are modulated by the joint action of gibberellin and jasmonate signalling”, New Phytologist, vol. 233, no. 3, pp. 1220-1237, 2022.
D. Goud, Churipard, S. R., Bagchi, D., Singh, A. Kumar, Riyaz, M., Vinod, C. P., and Peter, S. C., “Strain-enhanced phase transformation of iron oxide for higher alcohol production from CO2”, ACS Catalysis, vol. 12, no. 18, pp. 11118-11128, 2022.
D. Bagchi, Raj, J., Singh, A. Kumar, Cherevotan, A., Roy, S., Manoj, K. Sai, Vinod, C. P., and Peter, S. C., “Structure-tailored surface oxide on Cu-Ga intermetallics enhances CO2 reduction selectivity to methanol at ultralow potential”, Advanced Materials, vol. 34, no. 19, p. 2109426, 2022.
R. Nomula, Pratapure, M. S., and Kontham, R., “Studies directed toward the total synthesis of nannocystin A”, ChemistrySelect, vol. 7, no. 42, p. e202203893, 2022.
S. Prakash Kulkarni, Dure, S. N., Joshi, S. S., Pandare, K. V., and Mali, N. A., “Subcritical water hydrolysis of N-acetyl-D-glucosamine: hydrolysis mechanism, reaction pathways and optimization for selective production of 5-HMF and levulinic acid”, Carbohydrate Research, vol. 516, p. 108560, 2022.
N. Parekh, Bijosh, C. K., Kane, K., Panicker, A., Nisal, A., Wangikar, P., and Agawane, S., “Superior processability of Antheraea mylitta silk with cryo-milling: performance in bone tissue regeneration”, International Journal of Biological Macromolecules, vol. 213, pp. 155-165, 2022.
N. Parekh, Bijosh, C. K., Kane, K., Panicker, A., Nisal, A., Wangikar, P., and Agawane, S., “Superior processability of Antheraea mylitta silk with cryo-milling: performance in bone tissue regeneration”, International Journal of Biological Macromolecules, vol. 213, pp. 155-165, 2022.
S. Kumari Jhajharia, Gupta, S., Manappadan, Z., Selvaraj, K., Padmanabhan, M. K., and Mahajan, R. L., “Surface alteration driven bi-functional catalytic activity of alkali niobate-N doped graphene composite for exalted oxygen electrochemistry”, Applied Surface Science, vol. 580, p. 152160, 2022.
P. Yadav, Parte, G., Malik, W., Sabri, Y. M., Jones, L. A., and V. Shelke, M., “Sustainable composite of SnFe2O4 conversion alloying anode for lithium-ion storage”, Sustainable Energy & Fuels, vol. 6, no. 16, pp. 3806-3817, 2022.
A. C. Tella, Isaac, A. Y., Clayton, H. S., Ogunlaja, A. S., Venugopalan, A. T., Prabu, M., and Thirumalaiswamy, R., “Synthesis and crystal structures of Mn(II) and Co(II) complexes as catalysts for oxidation of cyclohexanone”, Inorganics, vol. 10, no. 7, p. 100, 2022.
M. Pirimova, Torambetov, B., Kadirova, S., Ziyaev, A., Gonnade, R. G., and Ashurov, J., “Synthesis, crystal structure and Hirshfeld surface analysis of a zinc(II) coordination polymer of 5-phenyl-1,3,4-oxa­diazole-2-thiol­ate”, Acta Crystallographica Section E Crystallographic Communications, vol. 87, no. Part 8, pp. 794-797, 2022.
J. Shukla, Illathvalappil, R., Kumar, S., Chorol, S., Pandikassala, A., Kurungot, S., and Mukhopadhyay, P., “Synthesis of a highly electron-deficient, water-stable, large ionic box: multielectron accumulation and proton conductivity”, Organic Letters, vol. 24, no. 16, pp. 3038-3042, 2022.
S. M. Jagadale, Abhale, Y. K., Pawar, H. R., Shinde, A., Bobade, V. D., Chavan, A. P., Sarkar, D., and Mhaske, P. C., “Synthesis of new thiazole and pyrazole clubbed 1,2,3-triazol derivatives as potential antimycobacterial and antibacterial agents”, Polycyclic Aromatic Compounds, vol. 42, no. 6, pp. 3216-3237, 2022.
H. M. Abdul Hakkeem, Babu, A., Shilpa, N., Venugopal, A. A., Mohamed, A. P., Kurungot, S., and Pillai, S., “Tailored synthesis of ultra-stable Au@Pd nanoflowers with enhanced catalytic properties using cellulose nanocrystals”, Carbohydrate Polymers, vol. 292, p. 119723, 2022.

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