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  1. Article: Legumes from the Paleocene sediments of India and their ecological significance

    Bhatia, Harshita / Srivastava, Gaurav / Mehrotra, R.C.

    Kunming Institute of Botany, Chinese Academy of Sciences Plant diversity. 2022 Aug. 08,

    2022  

    Abstract: During the early Paleogene, greenhouse gases created warm global climates. These warm climates redistributed the habitat of marine and terrestrial biota globally. Understanding the ecology of biotas under extremely warm climates is important to decipher ... ...

    Abstract During the early Paleogene, greenhouse gases created warm global climates. These warm climates redistributed the habitat of marine and terrestrial biota globally. Understanding the ecology of biotas under extremely warm climates is important to decipher their behavior in future climate warming. Here we report two new legume fossils (Leguminocarpum meghalayensis Bhatia, Srivastava et Mehrotra sp. nov., and Parvileguminophyllum damalgiriensis Bhatia, Srivastava et Mehrotra sp. nov.) from the late Paleocene sediments of Tura Formation of Meghalaya, northeast India. Globally, the Paleocene legume fossil records indicate that legumes most likely immigrated to India from Africa via the Ladakh-Kohistan Arc during the early Paleogene. Moreover, previously reconstructed climate data from the Tura Formation indicate that legumes were well adapted to a warm seasonal climate with monsoon rains.
    Keywords Paleocene epoch ; climate ; fossils ; greenhouses ; habitats ; legumes ; meteorological data ; monsoon season ; species diversity ; Africa ; India
    Language English
    Dates of publication 2022-0808
    Publishing place Elsevier B.V.
    Document type Article
    Note Pre-press version
    ZDB-ID 2873411-7
    ISSN 2468-2659 ; 2095-0845
    ISSN (online) 2468-2659
    ISSN 2095-0845
    DOI 10.1016/j.pld.2022.08.001
    Database NAL-Catalogue (AGRICOLA)

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  2. Article ; Online: Legumes from the Paleocene sediments of India and their ecological significance.

    Bhatia, Harshita / Srivastava, Gaurav / Mehrotra, R C

    Plant diversity

    2022  Volume 45, Issue 2, Page(s) 199–210

    Abstract: During the early Paleogene, greenhouse gases created warm global climates. These warm climates redistributed the habitat of marine and terrestrial biota globally. Understanding the ecology of biotas under extremely warm climates is important to decipher ... ...

    Abstract During the early Paleogene, greenhouse gases created warm global climates. These warm climates redistributed the habitat of marine and terrestrial biota globally. Understanding the ecology of biotas under extremely warm climates is important to decipher their behavior in future climate warming. Here we report two new legume fossils (
    Language English
    Publishing date 2022-08-14
    Publishing country China
    Document type Journal Article
    ZDB-ID 2873411-7
    ISSN 2468-2659 ; 2095-0845
    ISSN (online) 2468-2659
    ISSN 2095-0845
    DOI 10.1016/j.pld.2022.08.001
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: CoviXNet: A novel and efficient deep learning model for detection of COVID-19 using chest X-Ray images.

    Srivastava, Gaurav / Chauhan, Aninditaa / Jangid, Mahesh / Chaurasia, Sandeep

    Biomedical signal processing and control

    2022  Volume 78, Page(s) 103848

    Abstract: The Coronavirus (COVID-19) pandemic has created havoc on humanity by causing millions of deaths and adverse physical and mental health effects. To prepare humankind for the fast and efficient detection of the virus and its variants shortly, COVID-19 ... ...

    Abstract The Coronavirus (COVID-19) pandemic has created havoc on humanity by causing millions of deaths and adverse physical and mental health effects. To prepare humankind for the fast and efficient detection of the virus and its variants shortly, COVID-19 detection using Artificial Intelligence and Computer-Aided Diagnosis has been the subject of several studies. To detect COVID-19, there are numerous publicly accessible datasets of Chest X-rays that the researchers have combined to solve the problem of inadequate data. The cause for concern here is that in combining two or more datasets, some of the images might be duplicates, so a curated dataset has been used in this study, taken from an author's paper. This dataset consists of 1281 COVID-19, 3270 Normal X-rays, and 1656 viral-pneumonia infected Chest X-ray images. Dataset has been pre-processed and divided carefully to ensure that there are no duplicate images. A comparative study on many traditional pre-trained models was performed, analyzing top-performing models. Fine-tuned InceptionV3, Modified EfficientNet B0&B1 produced an accuracy of 99.78% on binary classification, i.e., covid-19 infected and normal Chest X-ray image. ResNetV2 had a classification accuracy of 97.90% for 3-class classification i.e., covid-19 infected, normal, and pneumonia. Furthermore, a trailblazing custom CNN-based model, CoviXNet, has been proposed consisting of 15 layers that take efficiency into account. The proposed model CoviXNet exhibited a 10-fold accuracy of 99.47% on binary classification and 96.61% on 3-class. CoviXNet has shown phenomenal performance with exceptional accuracy and minimum computational cost. We anticipate that this comparative study, along with the proposed model CoviXNet, can assist medical centers with the efficient real-life detection of Coronavirus.
    Language English
    Publishing date 2022-06-08
    Publishing country England
    Document type Journal Article
    ZDB-ID 2241886-6
    ISSN 1746-8108 ; 1746-8094
    ISSN (online) 1746-8108
    ISSN 1746-8094
    DOI 10.1016/j.bspc.2022.103848
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Ensemble of Deep Neural Networks based on Condorcet's Jury Theorem for screening Covid-19 and Pneumonia from radiograph images.

    Srivastava, Gaurav / Pradhan, Nitesh / Saini, Yashwin

    Computers in biology and medicine

    2022  Volume 149, Page(s) 105979

    Abstract: COVID-19 detection using Artificial Intelligence and Computer-Aided Diagnosis has been the subject of several studies. Deep Neural Networks with hundreds or even millions of parameters (weights) are referred to as "black boxes" because their behavior is ... ...

    Abstract COVID-19 detection using Artificial Intelligence and Computer-Aided Diagnosis has been the subject of several studies. Deep Neural Networks with hundreds or even millions of parameters (weights) are referred to as "black boxes" because their behavior is difficult to comprehend, even when the model's structure and weights are visible. On the same dataset, different Deep Convolutional Neural Networks perform differently. So, we do not necessarily have to rely on just one model; instead, we can evaluate our final score by combining multiple models. While including multiple models in the voter pool, it is not always true that the accuracy will improve. So, In this regard, the authors proposed a novel approach to determine the voting ensemble score of individual classifiers based on Condorcet's Jury Theorem (CJT). The authors demonstrated that the theorem holds while ensembling the N number of classifiers in Neural Networks. With the help of CJT, the authors proved that a model's presence in the voter pool would improve the likelihood that the majority vote will be accurate if it is more accurate than the other models. Besides this, the authors also proposed a Domain Extended Transfer Learning (DETL) ensemble model as a soft voting ensemble method and compared it with CJT based ensemble method. Furthermore, as deep learning models typically fail in real-world testing, a novel dataset has been used with no duplicate images. Duplicates in the dataset are quite problematic since they might affect the training process. Therefore, having a dataset devoid of duplicate images is considered to prevent data leakage problems that might impede the thorough assessment of the trained models. The authors also employed an algorithm for faster training to save computational efforts. Our proposed method and experimental results outperformed the state-of-the-art with the DETL-based ensemble model showing an accuracy of 97.26%, COVID-19, sensitivity of 98.37%, and specificity of 100%. CJT-based ensemble model showed an accuracy of 98.22%, COVID-19, sensitivity of 98.37%, and specificity of 99.79%.
    MeSH term(s) Artificial Intelligence ; COVID-19/diagnostic imaging ; Deep Learning ; Humans ; Neural Networks, Computer ; Pneumonia
    Language English
    Publishing date 2022-08-25
    Publishing country United States
    Document type Journal Article
    ZDB-ID 127557-4
    ISSN 1879-0534 ; 0010-4825
    ISSN (online) 1879-0534
    ISSN 0010-4825
    DOI 10.1016/j.compbiomed.2022.105979
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: High rainfall afforded resilience to tropical rainforests during early Eocene Climatic Optimum

    Srivastava, Gaurav / Bhatia, Harshita / Verma, Poonam / Singh, Yogesh Pal / Utescher, Torsten / Mehrotra, Rakesh C.

    Palaeogeography, Palaeoclimatology, Palaeoecology. 2023 Aug. 09, p.111762-

    2023  , Page(s) 111762–

    Abstract: The rainforests near the early Eocene palaeo-equator were more resilient to greenhouse warming than mid-latitude vegetation. The mechanism underlying that resilience remains poorly known due to the lack of reliable terrestrial climate data from the ... ...

    Abstract The rainforests near the early Eocene palaeo-equator were more resilient to greenhouse warming than mid-latitude vegetation. The mechanism underlying that resilience remains poorly known due to the lack of reliable terrestrial climate data from the palaeo-equator. In this paper, we quantify terrestrial temperature data using a plant proxy approach and infer that early Eocene climate near the palaeo-equator (~2.6° N) was warmer than in mid- to high palaeolatitudes. The data also suggest that high levels of rainfall near the palaeo-equator might have afforded greater resilience to tropical rainforests by increasing the water use efficiency of trees during the warm greenhouse world of the Early Eocene Climatic Optimum.
    Keywords Eocene epoch ; climate ; greenhouses ; latitude ; meteorological data ; palaeogeography ; paleoclimatology ; paleoecology ; rain ; temperature ; vegetation ; water use efficiency ; Cenozoic ; Climate reconstruction ; Fossils ; Palaeoclimate ; Paleogene
    Language English
    Dates of publication 2023-0809
    Publishing place Elsevier B.V.
    Document type Article ; Online
    Note Pre-press version
    ZDB-ID 417718-6
    ISSN 0031-0182
    ISSN 0031-0182
    DOI 10.1016/j.palaeo.2023.111762
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  6. Article ; Online: Autoproteolysis of Procerain and Procerain B mediated by structural changes.

    Srivastava, Gaurav / Gaur, Neeraj / Makde, Ravindra D / Jamdar, Sahayog N

    Phytochemistry

    2022  Volume 196, Page(s) 113086

    Abstract: Procerain (Pc) and Procerain B (PcB) are two latex proteases from Calotropis procera having potential applications in food and other industries. However, autolytic degradation of these proteases limits their potential use in industry. Nevertheless, basic ...

    Abstract Procerain (Pc) and Procerain B (PcB) are two latex proteases from Calotropis procera having potential applications in food and other industries. However, autolytic degradation of these proteases limits their potential use in industry. Nevertheless, basic mechanism underlying the autoproteolysis has not been detailed. In order to understand the same, we subjected the enzymes to various denaturing and activating conditions. The results showed that structural changes induced by different denaturing conditions trigger their autoproteolysis. We also observed differential response of Pc, PcB and other papain-like proteases towards autocatalysis in presence of reducing agent in-spite of sharing the same structural fold, including the number of disulfide bonds. The possible reason underlying this intriguing observation is also discussed. Further, present work establishes that structural changes in the proteases lead to autoproteolysis and the enzymes are stable unless they experience structural perturbation. These findings could thus be useful for their practical applications in industries.
    MeSH term(s) Calotropis ; Cysteine Endopeptidases ; Latex/chemistry
    Chemical Substances Latex ; Cysteine Endopeptidases (EC 3.4.22.-) ; procerain (EC 3.4.22.-)
    Language English
    Publishing date 2022-01-25
    Publishing country England
    Document type Journal Article
    ZDB-ID 208884-8
    ISSN 1873-3700 ; 0031-9422
    ISSN (online) 1873-3700
    ISSN 0031-9422
    DOI 10.1016/j.phytochem.2022.113086
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Recombinant full-length

    Sharma, Shikhar / Bahl, Vanndita / Srivastava, Gaurav / Shamim, Risha / Bhatnagar, Rakesh / Gaur, Deepak

    Frontiers in immunology

    2023  Volume 13, Page(s) 1075662

    Abstract: Introduction: Bacillus anthracis: Methods: We have designed the various subunit, PA-based recombinant proteins, i.e., full-length Protective antigen (PA-FL), C-terminal 63 kDa fragment (PA63), Protective antigen domain 1-domain 4 chimeras (PA-D1-4) ... ...

    Abstract Introduction: Bacillus anthracis
    Methods: We have designed the various subunit, PA-based recombinant proteins, i.e., full-length Protective antigen (PA-FL), C-terminal 63 kDa fragment (PA63), Protective antigen domain 1-domain 4 chimeras (PA-D1-4) and protective antigen domain 4 (PA-D4) and analyzed their vaccine potential with different human-compatible adjuvants in the mouse model. We have optimized the process and successfully expressed our recombinant antigens as soluble proteins, except full-length PA. All the recombinant antigen formulations with three different adjuvants i.e., Addavax, Alhydrogel, and Montanide ISA 720, were immunized in different mouse groups. The vaccine efficacy of the formulations was analyzed by mouse serum antigen-specific antibody titer, toxin neutralization assay, and survival analysis of mouse groups challenged with a lethal dose of
    Results: We have demonstrated that the PA-FL addavax and PA63 addavax formulations were most effective in protecting spore-challenged mice and serum from the mice immunized with PAFL addavax, PA-FL alhydrogel, PA63 addavax, and PA63 alhydrogel formulations were equivalently efficient in neutralizing the anthrax lethal toxin. The higher levels of serum Th1, Th2, and Th17 cytokines in PA-FL addavax immunized mice correspond to the enhanced protection provided by the formulation in challenged mice.
    Discussion: We have demonstrated that the PA-FL addavax and PA63 addavax formulations exhibit equivalent efficiency as vaccine formulation both in a mouse model of anthrax and mammalian cell lines. However, PA63 is a smaller antigen than PA-FL and more importantly, PA63 is expressed as a soluble protein in
    MeSH term(s) Animals ; Mice ; Humans ; Bacillus anthracis ; Anthrax/prevention & control ; Aluminum Hydroxide ; Escherichia coli ; Anthrax Vaccines ; Adjuvants, Immunologic ; Exotoxins ; Mammals
    Chemical Substances Addavax ; Aluminum Hydroxide (5QB0T2IUN0) ; Anthrax Vaccines ; Adjuvants, Immunologic ; Exotoxins
    Language English
    Publishing date 2023-01-12
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2606827-8
    ISSN 1664-3224 ; 1664-3224
    ISSN (online) 1664-3224
    ISSN 1664-3224
    DOI 10.3389/fimmu.2022.1075662
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: High-level biosynthesis of enantiopure germacrene D in yeast.

    Sharma, Shubha / Chaurasia, Seema / Dinday, Sandeep / Srivastava, Gaurav / Singh, Anamika / Chanotiya, Chandan Singh / Ghosh, Sumit

    Applied microbiology and biotechnology

    2024  Volume 108, Issue 1, Page(s) 50

    Abstract: Germacrene D, a sesquiterpenoid compound found mainly in plant essential oils at a low level as (+) and/or (-) enantiomeric forms, is an ingredient for the fragrance industry, but a process for the sustainable supply of enantiopure germacrene D is not ... ...

    Abstract Germacrene D, a sesquiterpenoid compound found mainly in plant essential oils at a low level as (+) and/or (-) enantiomeric forms, is an ingredient for the fragrance industry, but a process for the sustainable supply of enantiopure germacrene D is not yet established. Here, we demonstrate metabolic engineering in yeast (Saccharomyces cerevisiae) achieving biosynthesis of enantiopure germacrene D at a high titer. To boost farnesyl pyrophosphate (FPP) flux for high-level germacrene D biosynthesis, a background yeast chassis (CENses5C) was developed by genomic integration of the expression cassettes for eight ergosterol pathway enzymes that sequentially converted acetyl-CoA to FPP and by replacing squalene synthase promoter with a copper-repressible promoter, which restricted FPP flux to the competing pathway. Galactose-induced expression of codon-optimized plant germacrene D synthases led to 13-30 fold higher titers of (+) or (-)-germacrene D in CENses5C than the parent strain CEN.PK2.1C. Furthermore, genomic integration of germacrene D synthases in GAL80, LPP1 and rDNA loci generated CENses8(+D) and CENses8(-D) strains, which produced 41.36 µg/ml and 728.87 µg/ml of (+) and (-)-germacrene D, respectively, without galactose supplementation. Moreover, coupling of mitochondrial citrate pool to the cytosolic acetyl-CoA, by expressing a codon-optimized ATP-citrate lyase of oleaginous yeast, resulted in 137.71 µg/ml and 815.81 µg/ml of (+) or (-)-germacrene D in CENses8(+D)* and CENses8(-D)* strains, which were 67-120 fold higher titers than in CEN.PK2.1C. In fed-batch fermentation, CENses8(+D)* and CENses8(-D)* produced 290.28 µg/ml and 2519.46 µg/ml (+) and (-)-germacrene D, respectively, the highest titers in shake-flask fermentation achieved so far. KEY POINTS: • Engineered S. cerevisiae produced enantiopure (+) and (-)-germacrene D at high titers • Engineered strain produced up to 120-fold higher germacrene D than the parental strain • Highest titers of enantiopure (+) and (-)-germacrene D achieved so far in shake-flask.
    MeSH term(s) Saccharomyces cerevisiae/genetics ; Acetyl Coenzyme A ; Galactose ; Codon
    Chemical Substances germacrene D (V2I9ATG34E) ; Acetyl Coenzyme A (72-89-9) ; Galactose (X2RN3Q8DNE) ; Codon
    Language English
    Publishing date 2024-01-06
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 392453-1
    ISSN 1432-0614 ; 0171-1741 ; 0175-7598
    ISSN (online) 1432-0614
    ISSN 0171-1741 ; 0175-7598
    DOI 10.1007/s00253-023-12885-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Xanthan gum-based copper nano-magnetite doped carbon aerogel: A promising candidate for environmentally friendly catalytic dye degradation.

    Mudgal, Deeksha / Yadav, Nisha / Singh, Jay / Srivastava, Gaurav Kumar / Mishra, Vivek

    International journal of biological macromolecules

    2023  Volume 253, Issue Pt 7, Page(s) 127491

    Abstract: In this work, a novel copper nano-magnetite doped carbon aerogel (CXMCA) was created utilizing a simple graft co-polymerization approach with xanthan gum (XG) as a template to tackle the agglomeration problem caused by magnetic nanoparticle magnetism. ... ...

    Abstract In this work, a novel copper nano-magnetite doped carbon aerogel (CXMCA) was created utilizing a simple graft co-polymerization approach with xanthan gum (XG) as a template to tackle the agglomeration problem caused by magnetic nanoparticle magnetism. The results indicated that the XG based CXMCA exhibited outstanding magnetic properties (Ms = 36.52 emu/g) as well as strong catalytic activity for the degradation of cationic and anionic dyes. Among all organic dyes, methylene blue and crystal violet (MB, CV) as cationic dyes, as well as congo red and methyl orange (CR, and MO) as anionic dyes, CXMCA demonstrated an exceptional dye degradation rate (8.06 × 10
    MeSH term(s) Coloring Agents/chemistry ; Copper ; Carbon ; Ferrosoferric Oxide
    Chemical Substances Coloring Agents ; xanthan gum (TTV12P4NEE) ; Copper (789U1901C5) ; Carbon (7440-44-0) ; Ferrosoferric Oxide (XM0M87F357)
    Language English
    Publishing date 2023-10-17
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 282732-3
    ISSN 1879-0003 ; 0141-8130
    ISSN (online) 1879-0003
    ISSN 0141-8130
    DOI 10.1016/j.ijbiomac.2023.127491
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  10. Article: Distributed plasticity model for analysis of steel structures subjected to fire using the direct stiffness method

    Prakash, P. Ravi / Srivastava, Gaurav

    Fire safety journal. 2019 Apr., v. 105

    2019  

    Abstract: This article develops a temperature-dependent distributed plasticity model in a direct stiffness method (DSM) based formulation for coupled nonlinear thermo-mechanical analysis of steel space frames. The developed framework considers geometric and ... ...

    Abstract This article develops a temperature-dependent distributed plasticity model in a direct stiffness method (DSM) based formulation for coupled nonlinear thermo-mechanical analysis of steel space frames. The developed framework considers geometric and material nonlinearities, and performs coupled thermo-mechanical analysis by a two-level spatial discretization strategy. An isotropic hardening plasticity in combination with the von Mises yield criterion is considered, where the temperature-dependent yield function is derived from the stress-strain relations of Eurocode 3. The effects permanent plastic strains, large deformations and temperature-dependent material properties are directly incorporated in to the force deformation relations derived in a DSM based setting. Such a DSM based framework in conjunction with the distributed plasticity model facilitates higher computational efficiency. To ensure full coupling between mechanical and thermal solvers, thermodynamically consistent plastic heating term is added to the energy balance of the system. Also, connection flexibility is accounted for by developing a zero-length spring element integrated with 1-D beam-column elements. Five numerical examples are presented to demonstrate the efficacy of the developed framework. Within the numerical investigation, the importance of plastic heating coupling in the context of macro modelling based structural fire analysis of steel structures is quantified and the results indicate that such a coupling can be ignored in such macro scale structural fire computations.
    Keywords deformation ; energy balance ; geometry ; heat ; isotropy ; models ; plasticity ; steel
    Language English
    Dates of publication 2019-04
    Size p. 169-187.
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 1483569-1
    ISSN 0379-7112
    ISSN 0379-7112
    DOI 10.1016/j.firesaf.2019.03.002
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