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228 results on '"Chakraborty, Rahul"'

1. Toward Reliable Dipole Moments without Single Excitations: The Role of Orbital Rotations and Dynamical Correlation

Author

Chakraborty, Rahul, de Moraes, Matheus Morato F., Boguslawski, Katharina, Nowak, Artur, Swierczynski, Julian, and Tecmer, Pawel

Subjects
Physics - Chemical Physics, Quantum Physics
Abstract

The dipole moment is a crucial molecular property linked to a molecular system's bond polarity and overall electronic structure. To that end, the electronic dipole moment, which results from the electron density of a system, is often used to assess the accuracy and reliability of new electronic structure methods. This work analyses electronic dipole moments computed with the pair coupled cluster doubles (pCCD) ansatz and its linearized coupled cluster (pCCD-LCC) corrections using the canonical Hartree--Fock and pCCD-optimized (localized) orbital bases. The accuracy of pCCD-based dipole moments is assessed against experimental and CCSD(T) reference values using relaxed and unrelaxed density matrices and different basis set sizes. Our test set comprises molecules of various bonding patterns and electronic structures, exposing pCCD-based methods to a wide range of electron correlation effects. Additionally, we investigate the performance of pCCD-in-DFT dipole moments of some model complexes. Finally, our work indicates the importance of orbital relaxation in the pCCD model and shows the limitations of the linearized couple cluster corrections in predicting electronic dipole moments of multiple-bonded systems. Most importantly, pCCD with a linearized CCD correction can reproduce the dipole moment surfaces in singly-bonded molecules, which are comparable to the multi-reference ones.

Published
2024

3. Static Embedding with Pair Coupled Cluster Doubles Based Methods

Author

Chakraborty, Rahul, Boguslawski, Katharina, and Tecmer, Paweł

Subjects
Physics - Chemical Physics, Condensed Matter - Strongly Correlated Electrons
Abstract

Quantum embedding methods have recently developed significantly to model large molecular structures. This work proposes a novel wave function theory in density functional theory (WTF-in-DFT) embedding scheme based on pair-coupled cluster doubles (pCCD)-type methods. While pCCD can reliably describe strongly-correlated systems with mean-field-like computational cost, the large extent of dynamic correlation can be accounted for by (linearized) coupled-cluster corrections on top of the pCCD wave function. Here we focus on the linearized coupled-cluster singles and doubles (LCCSD) ansatz for electronic ground states and its extension to excited states within the equation of motion (EOM) formalism. We test our EOM-pCCD-LCCSD-in-DFT approach for the vertical excitation energies of the hydrogen-bonded water--ammonia complex and uranyl tetrahalides (UO$_2$X$_4^{2-}$, X=F, Cl, Br). Furthermore, we assess the quality of the embedding potential using an orbital entanglement and correlation analysis. The approximate models successfully capture changes in the excitation energies going from bare fragments to supramolecular structures and represent a promising computation model for excited states in large molecular systems.

Published
2023
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5. Detecting Common Diseases of Potato Leaf Applying Deep Learning Techniques

Author

Goon, Surajit, Chakraborty, Rahul, Dalui, Indrani, Obaid, Ahmed J., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Bhattacharya, Abhishek, editor, Dutta, Soumi, editor, Dutta, Paramartha, editor, and Samanta, Debabrata, editor

Published
2024
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6. Hierarchical Frequency and Voltage Control using Prioritized Utilization of Inverter Based Resources

Author

Chakraborty, Rahul, Chakrabortty, Aranya, Farantatos, Evangelos, Patel, Mahendra, Hooshyar, Hossein, and Darvishi, Atena

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

We propose a novel hierarchical frequency and voltage control design for multi-area power system integrated with inverter-based resources (IBRs). The design is based on the idea of prioritizing the use of IBRs over conventional generator-based control in compensating for sudden and unpredicted changes in loads and generations, and thereby mitigate any undesired dynamics in the frequency or the voltage by exploiting their fast actuation time constants. A new sequential optimization problem, referred to as Area Prioritized Power Flow (APPF), is formulated to model this prioritization. It is shown that compared to conventional power flow APPF not only leads to a fairer balance between the dispatch of active and reactive power from the IBRs and the synchronous generators, but also limits the impact of any contingency from spreading out beyond its respective control area, thereby guaranteeing a better collective dynamic performance of the grid. This improvement, however, comes at the cost of adding an extra layer of communication needed for executing APPF in a hierarchical way. Results are validated using simulations of a 9-machine, 6-IBR, 33-bus, 3-area power system model, illustrating how APPF can mitigate a disturbance faster and more efficiently by prioritizing the use of local area-resources.

Published
2021

7. PyBEST: Improved functionality and enhanced performance

Author

Boguslawski, Katharina, Brzęk, Filip, Chakraborty, Rahul, Cieślak, Kacper, Jahani, Seyedehdelaram, Leszczyk, Aleksandra, Nowak, Artur, Sujkowski, Emil, Świerczyński, Julian, Ahmadkhani, Somayeh, Kędziera, Dariusz, Kriebel, Maximilian H., Żuchowski, Piotr Szymon, and Tecmer, Paweł

Published
2024
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10. A Short Note on Accent-Bias, Social Identity and Ethnocentrism

Author

Chakraborty, Rahul

Abstract

This paper discusses the interrelations among accent-based biases, social identity and ethnocentrism. Construction of social identity creates a set of ethnocentric values within a person, which indirectly or directly plays a pivotal role in generating accent related biases. Starting with Tajfel's (1959) social identity theory and then the discussion of ethnocentrism, accent related biases have a long documented origin, development and consequences. People construct their social identity based on numerous variables and then their in-group and out-group memberships are established. Ethnocentrism, as a variable, influences listeners' accent perception and subsequent judgment regarding their perceived accent. The degree of ethnocentrism is related to speakers' potential accent biases. As legal safeguard against accent related biases is absent, active resistance and awareness-initiation are expected from speech language pathologists and the concerned community in general. Role of training institutions is discussed.

Published
2017

17. Evolutionary algorithm based configuration interaction approach

Author

Chakraborty, Rahul and Ghosh, Debashree

Subjects
Condensed Matter - Strongly Correlated Electrons, Physics - Chemical Physics
Abstract

A stochastic configuration interaction method based on evolutionary algorithm is designed as an affordable approximation to full configuration interaction (FCI). The algorithm comprises of initiation, propagation and termination steps, where the propagation step is performed with cloning, mutation and cross-over, taking inspiration from genetic algorithm. We have tested its accuracy in 1D Hubbard problem and a molecular system (symmetric bond breaking of water molecule). We have tested two different fitness functions based on energy of the determinants and the CI coefficients of determinants. We find that the absolute value of CI coefficients is a more suitable fitness function when combined with a fixed selection scheme., Comment: 5 pages, 5 figures

Published
2016

18. Recovery of ecosystems pollution by contaminants of potential concern using phytoremediation techniques.

Author

Ghosh, Arindam, Stening, James, and Chakraborty, Rahul

Subjects
SOIL remediation, MARSHES, PERCHLORATE removal (Water purification), GROUNDWATER remediation, CARBON sequestration
Abstract

Phytoremediation is a technology that uses plants to break down, remove, and immobilize contaminants in surface water, shallow groundwater, and sediment to achieve cost savings compared with conventional treatments. This study describes a marshy land on an explosives manufacturing site in India that consistently reported elevated concentrations of nitrates, nitrites, ammonia, perchlorate, and lead (contaminants of potential concern—CoPC). The study also illustrates the potential for addressing the human health and environmental risks associated with the explosives manufacturing industrsy in India using innovative, sustainable, and carbon‐neutral techniques. This work focuses on reconstructed marshy lands, desedimentation, microwatershed management, and phytoremediation using Phragmites and Vetiveria species (also known as vetiver) to reduce contaminants in surface water and groundwater, improve stormwater management and carbon capture, and increase natural capital like biodiversity. The results obtained during the trial indicate that the selected indigenous species are effective and can be used to remediate sediment and shallow groundwater for many CoPC in tropical climates. Integr Environ Assess Manag 2024;20:1987–2002. © 2024 SETAC Key Points: The results obtained during the trial indicate that the selected indigenous species are effective and can be used to remediate sediment and shallow groundwater for many CoPC in tropical climates.If we drew a life cycle based on this study, it would be as follows: contaminants deposited to nature (soil) are extracted by plants (natural, no chemical intervention), and as the plants uptake the contaminants, they are harvested and turned into compost, which can again return to the soil (nature).This approach can reduce contaminants in both sediment and water, and is a low‐cost and environmentally friendly remediation alternative to more traditional methods. [ABSTRACT FROM AUTHOR]

Published
2024
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24. Cerebrospinal fluid proteins in idiopathic intracranial hypertension: An exploratory SWATH proteomics analysis

Author

Pandit, Awadh Kishor, primary, Misra, Shubham, additional, Sengupta, Shantanu, additional, Chakraborty, Rahul, additional, Singh, Praveen, additional, Singh, Gyaninder Pal, additional, Phuljhele, Swati, additional, Srivastava, Achal K., additional, Vibha, Deepti, additional, Garg, Ajay, additional, Shankar, Vivek, additional, Mohania, Dheeraj, additional, Shukla, Garima, additional, and Prasad, Kameshwar, additional

Published
2023
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25. Subtyping strokes using blood-based biomarkers: A proteomics approach

Author

Misra, Shubham, primary, Singh, Praveen, additional, Sengupta, Shantanu, additional, Kushwaha, Manoj, additional, Rahman, Zuhaibur, additional, Bhalla, Divya, additional, Talwar, Pumanshi, additional, Nath, Manabesh, additional, Chakraborty, Rahul, additional, Kumar, Pradeep, additional, Kumar, Amit, additional, Aggarwal, Praveen, additional, Srivastava, Achal K, additional, Pandit, Awadh K, additional, Mohania, Dheeraj, additional, Prasad, Kameshwar, additional, and Vibha, Deepti, additional

Published
2023
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32. The mitochondrial gene-CMPK2 functions as a rheostat for macrophage homeostasis

Author

Arumugam, Prabhakar, Chauhan, Meghna, Rajeev, Thejaswitha, Chakraborty, Rahul, Bisht, Kanika, Madan, Mahima, Shankaran, Deepthi, Ramalingam, Sivaprakash, Gandotra, Sheetal, and Rao, Vivek

Subjects
Inflammation, Genes, Mitochondrial, Macrophages, Immunology, Humans, Homeostasis, Immunology and Allergy
Abstract

In addition to their role in cellular energy production, mitochondria are increasingly recognized as regulators of the innate immune response of phagocytes. Here, we demonstrate that altering expression levels of the mitochondria-associated enzyme, cytidine monophosphate kinase 2 (CMPK2), disrupts mitochondrial physiology and significantly deregulates the resting immune homeostasis of macrophages. Both CMPK2 silenced and constitutively overexpressing macrophage lines portray mitochondrial stress with marked depolarization of their membrane potential, enhanced reactive oxygen species (ROS), and disturbed architecture culminating in the enhanced expression of the pro-inflammatory genes IL1β, TNFα, and IL8. Interestingly, the long-term modulation of CMPK2 expression resulted in an increased glycolytic flux of macrophages akin to the altered physiological state of activated M1 macrophages. While infection-induced inflammation for restricting pathogens is regulated, our observation of a total dysregulation of basal inflammation by bidirectional alteration of CMPK2 expression only highlights the critical role of this gene in mitochondria-mediated control of inflammation.

Published
2022
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33. Influence of L2 Proficiency on Speech Movement Variability: Production of Prosodic Contrasts by Bengali-English Speakers

Author

Chakraborty, Rahul

Abstract

This paper examines the influence of age of immersion and proficiency in a second language on speech movement consistency in both a first and a second language. Ten monolingual speakers of English and 20 Bengali-English bilinguals (10 with low L2 proficiency and 10 with high L2 proficiency) participated. Lip movement variability was assessed based on bilingual participants' production of four real and four novel words embedded in Bengali (L1) and English (L2) sentences. Lip movement variability was evaluated across L1 and L2 contexts for the production of real and novel words with trochaic and iambic stress pattern. Adult bilinguals produced equally consistent speech movement patterns in their production of L1 and L2 targets. Overall, speakers' L2 proficiency did not influence their movement variability. Unlike children, the speech motor systems of adult L2 speakers exhibit a lack of flexibility which could contribute to their increased difficulties in acquiring native-like pronunciation in L2.

Published
2011
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34. Production of Lexical Stress in Non-Native Speakers of American English: Kinematic Correlates of Stress and Transfer

Author

Chakraborty, Rahul and Goffman, Lisa

Abstract

Purpose: To assess the influence of second language (L2) proficiency on production characteristics of rhythmic sequences in the L1 (Bengali) and L2 (English), with emphasis on linguistic transfer. One goal was to examine, using kinematic evidence, how L2 proficiency influences the production of iambic and trochaic words, focusing on temporal and spatial aspects of prosody. A second goal was to assess whether prosodic structure influences judgment of foreign accent. Method: Twenty Bengali-English bilingual individuals, 10 with low proficiency in English and 10 with high proficiency in English, and 10 monolingual English speakers, participated. Lip and jaw movements were recorded while the bilingual participants produced Bengali and English words embedded in sentences. Lower lip movement amplitude and duration were measured in trochaic and iambic words. Six native English listeners judged the nativeness of the bilingual speakers. Results: Evidence of L1-L2 transfer was observed through duration but not amplitude cues. More proficient L2 speakers varied duration to mark iambic stress. Perceptually, the high-proficiency group received relatively higher native-like accent ratings. Trochees were judged as more native than iambs. Conclusions: Even in the face of L1-L2 lexical stress transfer, nonnative speakers demonstrated knowledge of prosodic contrasts. Movement duration appears to be more amenable than amplitude to modifications.

Published
2011
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35. Physiological Indices of Bilingualism: Oral-Motor Coordination and Speech Rate in Bengali-English Speakers

Author

Chakraborty, Rahul, Goffman, Lisa, and Smith, Anne

Abstract

Purpose: To examine how age of immersion and proficiency in a 2nd language influence speech movement variability and speaking rate in both a 1st language and a 2nd language. Method: A group of 21 Bengali-English bilingual speakers participated. Lip and jaw movements were recorded. For all 21 speakers, lip movement variability was assessed based on productions of Bengali (L1; 1st language) and English (L2; 2nd language) sentences. For analyses related to the influence of L2 proficiency on speech production processes, participants were sorted into low- (n = 7) and high-proficiency (n = 7) groups. Lip movement variability and speech rate were evaluated for both of these groups across L1 and L2 sentences. Results: Surprisingly, adult bilingual speakers produced equally consistent speech movement patterns in their production of L1 and L2. When groups were sorted according to proficiency, highly proficient speakers were marginally more variable in their L1. In addition, there were some phoneme-specific effects, most markedly that segments not shared by both languages were treated differently in production. Consistent with previous studies, movement durations were longer for less proficient speakers in both L1 and L2. Interpretation: In contrast to those of child learners, the speech motor systems of adult L2 speakers show a high degree of consistency. Such lack of variability presumably contributes to protracted difficulties with acquiring nativelike pronunciation in L2. The proficiency results suggest bidirectional interactions across L1 and L2, which is consistent with hypotheses regarding interference and the sharing of phonological space. A slower speech rate in less proficient speakers implies that there are increased task demands on speech production processes.

Published
2008
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45. Sputum Protein Biomarkers in Airway Diseases: A Pilot Study

Author

Dasgupta, Angira, primary, Chakraborty, Rahul, additional, Saha, Bodhisattwa, additional, Suri, Himanshi, additional, Singh, Praveen, additional, Raj, Anurag, additional, Taneja, Bhupesh, additional, Dash, Debasis, additional, Sengupta, Shantanu, additional, and Agrawal, Anurag, additional

Published
2021
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46. Sputum Protein Biomarkers in Airway Diseases: A Pilot Study

Author

Dasgupta,Angira, Chakraborty,Rahul, Saha,Bodhisattwa, Suri,Himanshi, Singh,Praveen, Raj,Anurag, Taneja,Bhupesh, Dash,Debasis, Sengupta,Shantanu, Agrawal,Anurag, Dasgupta,Angira, Chakraborty,Rahul, Saha,Bodhisattwa, Suri,Himanshi, Singh,Praveen, Raj,Anurag, Taneja,Bhupesh, Dash,Debasis, Sengupta,Shantanu, and Agrawal,Anurag

Abstract

Angira Dasgupta,1– 3 Rahul Chakraborty,1,2 Bodhisattwa Saha,1 Himanshi Suri,1 Praveen Singh,1,2 Anurag Raj,1,2 Bhupesh Taneja,1,2 Debasis Dash,1,2 Shantanu Sengupta,1,2 Anurag Agrawal1,2 1Institute of Genomics and Integrative Biology, New Delhi, India; 2Academy of Scientific and Innovative Research, CSIR-HRDG, Ghaziabad, Uttar Pradesh, 201002, India; 3B R Singh Hospital and Centre for Medical Education and Research, Kolkata, West Bengal, IndiaCorrespondence: Angira DasguptaB R Singh Hospital and Centre for Medical Education and Research, Sealdah, Kolkata, West Bengal, IndiaTel +91 9831517266Email angiradasgupta@gmail.comBackground: Chronic mucous hypersecretion (CMH or chronic bronchitis) per se or when associated with chronic inflammatory airway diseases such as asthma or chronic obstructive pulmonary disease (COPD) has several adverse clinical consequences. The sputum fluid phase has several candidate proteins including mucins which have the potential of being therapeutic targets, but has not yet been explored in-depth. This study aimed at exploring the profile of sputum proteins in various airway diseases.Methods: Sputum from thirty-one patients with various airway diseases was collected and the fluid phase analyzed by LC-MS/MS and subsequently by sequential window acquisition of all theoretical fragments ion spectra (SWATH) (n = 15) for protein quantitation. Hierarchical clustering and functional grouping were performed.Results: A total of 185 proteins were quantitated by SWATH of which 21 proteins were identified which could distinguish between the clinical phenotypes by hierarchical clustering. Functional protein clustering revealed 4 groups: those that are inflammation related, oxidative stress related, mucin related and a cytoskeletal and calcium related group. The levels of eight proteins (Azurocidin1, Neutrophil defensin 3, Lactotransferrin, Calmodulin 3, Coronin1A, Mucin 5B, Mucin 5AC and BPI fold containing family B1) were significantly altered (relati

Published
2021

47. Insights from a Pan India Sero-Epidemiological survey (Phenome-India Cohort) for SARS-CoV2

Author

Naushin, Salwa, primary, Sardana, Viren, additional, Ujjainiya, Rajat, additional, Bhatheja, Nitin, additional, Kutum, Rintu, additional, Bhaskar, Akash Kumar, additional, Pradhan, Shalini, additional, Prakash, Satyartha, additional, Khan, Raju, additional, Rawat, Birendra Singh, additional, Tallapaka, Karthik Bharadwaj, additional, Anumalla, Mahesh, additional, Chandak, Giriraj Ratan, additional, Lahiri, Amit, additional, Kar, Susanta, additional, Mulay, Shrikant Ramesh, additional, Mugale, Madhav Nilakanth, additional, Srivastava, Mrigank, additional, Khan, Shaziya, additional, Srivastava, Anjali, additional, Tomar, Bhawana, additional, Veerapandian, Murugan, additional, Venkatachalam, Ganesh, additional, Vijayakumar, Selvamani Raja, additional, Agarwal, Ajay, additional, Gupta, Dinesh, additional, Halami, Prakash M, additional, Peddha, Muthukumar Serva, additional, Sundaram, Gopinath M, additional, Veeranna, Ravindra P, additional, Pal, Anirban, additional, Agarwal, Vinay Kumar, additional, Maurya, Anil Ku, additional, Singh, Ranvijay Kumar, additional, Raman, Ashok Kumar, additional, Anandasadagopan, Suresh Kumar, additional, Karuppanan, Parimala, additional, Venkatesan, Subramanian, additional, Sardana, Harish Kumar, additional, Kothari, Anamika, additional, Jain, Rishabh, additional, Thakur, Anupama, additional, Parihar, Devendra Singh, additional, Saifi, Anas, additional, Kaur, Jasleen, additional, Kumar, Virendra, additional, Mishra, Avinash, additional, Gogeri, Iranna, additional, Rayasam, Geethavani, additional, Singh, Praveen, additional, Chakraborty, Rahul, additional, Chaturvedi, Gaura, additional, Karunakar, Pinreddy, additional, Yadav, Rohit, additional, Singhmar, Sunanda, additional, Singh, Dayanidhi, additional, Sarkar, Sharmistha, additional, Bhattacharya, Purbasha, additional, Acharya, Sundaram, additional, Singh, Vandana, additional, Verma, Shweta, additional, Soni, Drishti, additional, Seth, Surabhi, additional, Vashisht, Sakshi, additional, Thakran, Sarita, additional, Fatima, Firdaus, additional, Singh, Akash Pratap, additional, Sharma, Akanksha, additional, Sharma, Babita, additional, Subramanian, Manikandan, additional, Padwad, Yogendra S, additional, Hallan, Vipin, additional, Patial, Vikram, additional, Singh, Damanpreet, additional, Tripude, Narendra Vijay, additional, Chakrabarti, Partha, additional, Maity, Sujay Krishna, additional, Ganguly, Dipyaman, additional, Sarkar, Jit, additional, Ramakrishna, Sistla, additional, Kumar, Balthu Narender, additional, Kumar, Kiran A, additional, Gandhi, Sumit G, additional, Jamwal, Piyush Singh, additional, Chouhan, Rekha, additional, Jamwal, Vijay Lakshmi, additional, Kapoor, Nitika, additional, Ghosh, Debashish, additional, Thakkar, Ghanshyam, additional, Subudhi, Umakanta, additional, Sen, Pradip, additional, Chaudhury, Saumya Ray, additional, Kumar, Rashmi, additional, Gupta, Pawan, additional, Tuli, Amit, additional, Sharma, Deepak, additional, Ringe, Rajesh P, additional, D, Amarnarayan, additional, Kulkarni, Mahesh, additional, Shanmugam, Dhansekaran, additional, Dharne, Mahesh S, additional, Dastager, Sayed G, additional, Joshi, Rakesh, additional, Patil, Amita P, additional, Mahajan, Sachin N, additional, Khan, Abujunaid Habib, additional, Wagh, Vasudev, additional, Yadav, Rakesh Kumar, additional, Khilari, Ajinkya, additional, Bhadange, Mayuri, additional, Chaurasiya, Arvindkumar H, additional, Kulsange, Shabda E, additional, Khairnar, Krishna, additional, Paranjape, Shilpa, additional, Kalita, Jatin, additional, Sastry, Narahari G, additional, Phukan, Tridip, additional, Manna, Prasenjit, additional, Romi, Wahengbam, additional, Bharali, Pankaj, additional, Ozah, Dibyajyoti, additional, Sahu, Ravi Kumar, additional, Babu, Elapavalooru VSSK, additional, Sukumaran, Rajeev, additional, Nair, Aiswarya R, additional, Valappil, Prajeesh Kooloth, additional, Puthiyamadam, Anoop, additional, Velayudhanpillai, Adarsh, additional, Chodankar, Kalpana, additional, Damare, Samir, additional, Madhavi, Yennapu, additional, Aggarwal, Ved Varun, additional, Dahiya, Sumit, additional, Agrawal, Anurag, additional, Dash, Debasis, additional, and Sengupta, Shantanu, additional

Published
2021
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48. Author response: Insights from a Pan India Sero-Epidemiological survey (Phenome-India Cohort) for SARS-CoV2

Author

Naushin, Salwa, primary, Sardana, Viren, additional, Ujjainiya, Rajat, additional, Bhatheja, Nitin, additional, Kutum, Rintu, additional, Bhaskar, Akash Kumar, additional, Pradhan, Shalini, additional, Prakash, Satyartha, additional, Khan, Raju, additional, Rawat, Birendra Singh, additional, Tallapaka, Karthik Bharadwaj, additional, Anumalla, Mahesh, additional, Chandak, Giriraj Ratan, additional, Lahiri, Amit, additional, Kar, Susanta, additional, Mulay, Shrikant Ramesh, additional, Mugale, Madhav Nilakanth, additional, Srivastava, Mrigank, additional, Khan, Shaziya, additional, Srivastava, Anjali, additional, Tomar, Bhawana, additional, Veerapandian, Murugan, additional, Venkatachalam, Ganesh, additional, Vijayakumar, Selvamani Raja, additional, Agarwal, Ajay, additional, Gupta, Dinesh, additional, Halami, Prakash M, additional, Peddha, Muthukumar Serva, additional, Sundaram, Gopinath M, additional, Veeranna, Ravindra P, additional, Pal, Anirban, additional, Agarwal, Vinay Kumar, additional, Maurya, Anil Ku, additional, Singh, Ranvijay Kumar, additional, Raman, Ashok Kumar, additional, Anandasadagopan, Suresh Kumar, additional, Karuppanan, Parimala, additional, Venkatesan, Subramanian, additional, Sardana, Harish Kumar, additional, Kothari, Anamika, additional, Jain, Rishabh, additional, Thakur, Anupama, additional, Parihar, Devendra Singh, additional, Saifi, Anas, additional, Kaur, Jasleen, additional, Kumar, Virendra, additional, Mishra, Avinash, additional, Gogeri, Iranna, additional, Rayasam, Geethavani, additional, Singh, Praveen, additional, Chakraborty, Rahul, additional, Chaturvedi, Gaura, additional, Karunakar, Pinreddy, additional, Yadav, Rohit, additional, Singhmar, Sunanda, additional, Singh, Dayanidhi, additional, Sarkar, Sharmistha, additional, Bhattacharya, Purbasha, additional, Acharya, Sundaram, additional, Singh, Vandana, additional, Verma, Shweta, additional, Soni, Drishti, additional, Seth, Surabhi, additional, Vashisht, Sakshi, additional, Thakran, Sarita, additional, Fatima, Firdaus, additional, Singh, Akash Pratap, additional, Sharma, Akanksha, additional, Sharma, Babita, additional, Subramanian, Manikandan, additional, Padwad, Yogendra S, additional, Hallan, Vipin, additional, Patial, Vikram, additional, Singh, Damanpreet, additional, Tripude, Narendra Vijay, additional, Chakrabarti, Partha, additional, Maity, Sujay Krishna, additional, Ganguly, Dipyaman, additional, Sarkar, Jit, additional, Ramakrishna, Sistla, additional, Kumar, Balthu Narender, additional, Kumar, Kiran A, additional, Gandhi, Sumit G, additional, Jamwal, Piyush Singh, additional, Chouhan, Rekha, additional, Jamwal, Vijay Lakshmi, additional, Kapoor, Nitika, additional, Ghosh, Debashish, additional, Thakkar, Ghanshyam, additional, Subudhi, Umakanta, additional, Sen, Pradip, additional, Chaudhury, Saumya Ray, additional, Kumar, Rashmi, additional, Gupta, Pawan, additional, Tuli, Amit, additional, Sharma, Deepak, additional, Ringe, Rajesh P, additional, D, Amarnarayan, additional, Kulkarni, Mahesh, additional, Shanmugam, Dhansekaran, additional, Dharne, Mahesh S, additional, Dastager, Sayed G, additional, Joshi, Rakesh, additional, Patil, Amita P, additional, Mahajan, Sachin N, additional, Khan, Abujunaid Habib, additional, Wagh, Vasudev, additional, Yadav, Rakesh Kumar, additional, Khilari, Ajinkya, additional, Bhadange, Mayuri, additional, Chaurasiya, Arvindkumar H, additional, Kulsange, Shabda E, additional, Khairnar, Krishna, additional, Paranjape, Shilpa, additional, Kalita, Jatin, additional, Sastry, Narahari G, additional, Phukan, Tridip, additional, Manna, Prasenjit, additional, Romi, Wahengbam, additional, Bharali, Pankaj, additional, Ozah, Dibyajyoti, additional, Sahu, Ravi Kumar, additional, Babu, Elapavalooru VSSK, additional, Sukumaran, Rajeev, additional, Nair, Aiswarya R, additional, Valappil, Prajeesh Kooloth, additional, Puthiyamadam, Anoop, additional, Velayudhanpillai, Adarsh, additional, Chodankar, Kalpana, additional, Damare, Samir, additional, Madhavi, Yennapu, additional, Aggarwal, Ved Varun, additional, Dahiya, Sumit, additional, Agrawal, Anurag, additional, Dash, Debasis, additional, and Sengupta, Shantanu, additional

Published
2021
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49. Identification and characterization of novel plasma proteins in drug resistant HIV/AIDS patients by SWATH-MS

Author

Barik, Sushanta Kumar, primary, Tripathy, Srikanth Prasad, additional, Bisht, Deepa, additional, Singh, Praveen, additional, Chakraborty, Rahul, additional, Chadar, Monu Kumar, additional, Patil, Shripad A, additional, Singh, Tej Pal, additional, Tandon, Rekha, additional, Jena, Srikanta, additional, and Mohanty, Keshar Kunja, additional

Published
2021
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50. Insights from a Pan India Sero-Epidemiological survey (Phenome-India Cohort) for SARS-CoV-2

Author

Naushin, Salwa, primary, Sardana, Viren, additional, Ujjainiya, Rajat, additional, Bhatheja, Nitin, additional, Kutum, Rintu, additional, Bhaskar, Akash Kumar, additional, Pradhan, Shalini, additional, Prakash, Satyartha, additional, Khan, Raju, additional, Rawat, Birendra Singh, additional, Tallapaka, Karthik Bharadwaj, additional, Anumalla, Mahesh, additional, Chandak, Giriraj Ratan, additional, Lahiri, Amit, additional, Kar, Susanta, additional, Mulay, Shrikant Ramesh, additional, Mugale, Madhav Nilakanth, additional, Srivastava, Mrigank, additional, Khan, Shaziya, additional, Srivastava, Anjali, additional, Tomar, Bhawna, additional, Veerapandian, Murugan, additional, Venkatachalam, Ganesh, additional, Vijayakumar, Selvamani Raja, additional, Agarwal, Ajay, additional, Gupta, Dinesh, additional, Halami, Prakash M, additional, Peddha, Muthukumar Serva, additional, Sundaram, Gopinath M, additional, Veeranna, Ravindra P, additional, Pal, Anirban, additional, Agarwal, Vinay Kumar, additional, Maurya, Anil Ku, additional, Singh, Ran Vijay Kumar, additional, Raman, Ashok Kumar, additional, Anandasadagopan, Suresh Kumar, additional, Karuppanan, Parimala, additional, Venkatesan, Subramanian, additional, Sardana, Harish Kumar, additional, Kothari, Anamika, additional, Jain, Rishabh, additional, Thakur, Anupma, additional, Parihar, Devendra Singh, additional, Saifi, Anas, additional, Kaur, Jasleen, additional, Kumar, Virendra, additional, Mishra, Avinash, additional, Goger, Iranna, additional, Rayasam, Geethavani, additional, Singh, Praveen, additional, Chakraborty, Rahul, additional, Chaturvedi, Gaura, additional, Karunakar, Pinreddy, additional, Yadav, Rohit, additional, Singhmar, Sunanda, additional, Singh, Dayanidhi, additional, Sarkar, Sharmistha, additional, Bhattacharya, Purbasha, additional, Acharya, Sundaram, additional, Singh, Vandana, additional, Verma, Shweta, additional, Soni, Drishti, additional, Seth, Surabhi, additional, Vashisht, Shakshi, additional, Thakran, Sarita, additional, Fatima, Firdaus, additional, Singh, Akash Pratap, additional, Sharma, Akanksha, additional, Sharma, Babita, additional, Subramanian, Manikandan, additional, Padwad, Yogendra, additional, Hallan, Vipin, additional, Patial, Vikram, additional, Singh, Damanpreet, additional, Tirpude, Narendra Vijay, additional, Chakrabarti, Partha, additional, Maity, Sujay Krishna, additional, Ganguly, Dipyaman, additional, Sarkar, Jit, additional, Ramakrishna, Sistla, additional, Kumar, Balthu Narender, additional, Kumar, A Kiran, additional, Gandhi, Sumit G., additional, Jamwal, Piyush Singh, additional, Chouhan, Rekha, additional, Jamwal, Vijay Lakshmi, additional, Kapoor, Nitika, additional, Ghosh, Debashish, additional, Thakkar, Ghanshyam, additional, Subudhi, Umakanta, additional, Sen, Pradip, additional, Chaudhury, Saumya Ray, additional, Kumar, Rashmi, additional, Gupta, Pawan, additional, Tuli, Amit, additional, Sharma, Deepak, additional, Ringe, Rajesh P., additional, D, Amarnarayan, additional, Kulkarni, Mahesh, additional, Shanmugam, Dhanasekaran, additional, Dharne, Mahesh S, additional, Dastager, Syed G., additional, Joshi, Rakesh, additional, Patil, Amita P., additional, Mahajan, Sachin N., additional, Khan, Abu Junaid, additional, Wagh, Vasudev, additional, Yadav, Rakeshkumar, additional, Khilari, Ajinkya, additional, Bhadange, Mayuri, additional, Chaurasiya, Arvindkumar H., additional, Kulsange, Shabda E, additional, Khairnar, Krishna, additional, Paranjape, Shilpa, additional, Kalita, Jatin, additional, Sastry, G. Narahari, additional, Phukan, Tridip, additional, Manna, Prasenjit, additional, Romi, Wahengbam, additional, Bharali, Pankaj, additional, Ozah, Dibyajyoti, additional, Sahu, Ravi Kumar, additional, Babu, Elapavalooru V.S.S.K., additional, Sukumaran, Rajeev, additional, Nair, Aiswarya R, additional, Kooloth-Valappil, Prajeesh, additional, Puthiyamadam, Anoop, additional, Velayudhanpillai, Adarsh, additional, Chodankar, Kalpana, additional, Damare, Samir, additional, Madhavi, Yennapu, additional, Aggarwal, Ved Varun, additional, Dahiya, Sumit, additional, Agrawal, Anurag, additional, Dash, Debasis, additional, and Sengupta, Shantanu, additional

Published
2021
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