North-Eastern Hill University

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North-Eastern Hill University
Short name
NEHU
Country, city
India, Shillong
Publications
4 574
Citations
56 561
h-index
78
Top-3 journals
Top-3 organizations
Banaras Hindu University
Banaras Hindu University (96 publications)
University of Calcutta
University of Calcutta (94 publications)
Top-3 foreign organizations
University of Washington
University of Washington (50 publications)
King Saud University
King Saud University (40 publications)
University of Zurich
University of Zurich (40 publications)

Most cited in 5 years

Hassan S.M., Maji A.K., Jasiński M., Leonowicz Z., Jasińska E.
Electronics (Switzerland) scimago Q2 wos Q2 Open Access
2021-06-09 citations by CoLab: 270 PDF Abstract  
The timely identification and early prevention of crop diseases are essential for improving production. In this paper, deep convolutional-neural-network (CNN) models are implemented to identify and diagnose diseases in plants from their leaves, since CNNs have achieved impressive results in the field of machine vision. Standard CNN models require a large number of parameters and higher computation cost. In this paper, we replaced standard convolution with depth=separable convolution, which reduces the parameter number and computation cost. The implemented models were trained with an open dataset consisting of 14 different plant species, and 38 different categorical disease classes and healthy plant leaves. To evaluate the performance of the models, different parameters such as batch size, dropout, and different numbers of epochs were incorporated. The implemented models achieved a disease-classification accuracy rates of 98.42%, 99.11%, 97.02%, and 99.56% using InceptionV3, InceptionResNetV2, MobileNetV2, and EfficientNetB0, respectively, which were greater than that of traditional handcrafted-feature-based approaches. In comparison with other deep-learning models, the implemented model achieved better performance in terms of accuracy and it required less training time. Moreover, the MobileNetV2 architecture is compatible with mobile devices using the optimized parameter. The accuracy results in the identification of diseases showed that the deep CNN model is promising and can greatly impact the efficient identification of the diseases, and may have potential in the detection of diseases in real-time agricultural systems.
Chakraborty K., Choudhury M.G., Paul S.
Solar Energy scimago Q1 wos Q2
2019-12-01 citations by CoLab: 245 Abstract  
The present work represents the study of numerical simulation of Cesium Titanium (IV) Halide thin film based lead-free Perovskite Solar Cells (PSCs) using Solar Cell Capacitance Simulator (SCAPS). For this study, an alternative inorganic material cell architecture CuSCN/Cs2TiX6/CdS/Si has been proposed, where X is halide like Br, I, F and Cl. The effects of variation in absorbing layer thickness and device working temperature on the solar cell performance were simulated through SCAPS simulator. This simple cell architecture has helped us to study and optimize the device parameters. The 1D optimization for the proposed lead-free Perovskite based solar cell resulted in optimized active layers thickness, device temperature and quantum efficiency for Cs2TiBr6, Cs2TiI6, Cs2TiF6 and Cs2TiCl6 active materials. The study resulted in optimized thickness of 1.0 µm, 1.5 µm, 1.5 µm and 1.5 µm for Cs2TiBr6, Cs2TiI6, Cs2TiF6 and Cs2TiCl6 active materials, respectively. The optimized device temperature was found to be at 80 °C for Cs2TiBr6, 60 °C for Cs2TiI6, 75 °C for Cs2TiF6 and 75 °C for Cs2TiCl6.
Kma L., Baruah T.J.
2021-01-28 citations by CoLab: 219 Abstract  
Autophagy causes the breakdown of damaged proteins and organelles to their constituent components. The phosphatidylinositol 3-kinase (PI3K) pathway played an important role in regulating the autophagic response of cells in response to changing reactive oxygen species (ROS) levels. The PI3K α catalytic subunit inhibits autophagy, while its β catalytic subunit promotes autophagy in response to changes in ROS levels. The downstream Akt protein acts against autophagy initiation in response to increases in ROS levels under nutrient-rich conditions. Akt acts by activating a mechanistic target of the rapamycin complex 1 (mTORC1) and by arresting autophagic gene expression. The AMP-activated protein kinase (AMPK) protein counteracts the Akt actions. mTORC1 and mTORC2 inhibit autophagy under moderate ROS levels, but under high ROS levels, mTORC2 can promote cellular senescence via autophagy. Phosphatase and tensin homolog (PTEN) protein are the negative regulators of the PI3K pathway, and it has proautophagic activities. Studies conducted on cells treated with flavonoids and ionizing radiation showed that the moderate increase in ROS levels in the flavonoid-treated groups corresponded with higher PTEN levels and lowered Akt levels leading to a higher occurrence of autophagy. In contrast, higher ROS levels evoked by ionizing radiation caused a lowering of the incidence of autophagy.
Khyllep W., Paliathanasis A., Dutta J.
Physical Review D scimago Q1 wos Q1
2021-05-17 citations by CoLab: 196 Abstract  
The present work studies one of Einstein's alternative formulations based on the non-metricity scalar $Q$ generalized as $f(Q)$ theory. More specifically, we consider the power-law form of $f(Q)$ gravity i.e. $f(Q)=Q+\alpha\, Q^n$. Here, we analyze the behavior of the cosmological model at the background and perturbation level. At the background level, we find the effective evolution of the model is the same as that of the $\Lambda$CDM for $|n|
Kalita P., Padhi A.K., Zhang K.Y., Tripathi T.
Microbial Pathogenesis scimago Q2 wos Q2
2020-08-01 citations by CoLab: 160 Abstract  
Coronavirus disease 2019 (COVID-19) is an emerging infectious disease that was first reported in Wuhan, China, and has subsequently spread worldwide. In the absence of any antiviral or immunomodulatory therapies, the disease is spreading at an alarming rate. A possibility of a resurgence of COVID-19 in places where lockdowns have already worked is also developing. Thus, for controlling COVID-19, vaccines may be a better option than drugs. An mRNA-based anti-COVID-19 candidate vaccine has entered a phase 1 clinical trial. However, its efficacy and potency have to be evaluated and validated. Since vaccines have high failure rates, as an alternative, we are presenting a new, designed multi-peptide subunit-based epitope vaccine against COVID-19. The recombinant vaccine construct comprises an adjuvant, cytotoxic T-lymphocyte (CTL), helper T-lymphocyte (HTL), and B-cell epitopes joined by linkers. The computational data suggest that the vaccine is non-toxic, non-allergenic, thermostable, with the capability to elicit a humoral and cell-mediated immune response. The stabilization of the vaccine construct is validated with molecular dynamics simulation studies. This unique vaccine is made up of 33 highly antigenic epitopes from three proteins that have a prominent role in host-receptor recognition, viral entry, and pathogenicity. We advocate this vaccine must be synthesized and tested urgently as a public health priority.
Babu S., Singh R., Yadav D., Rathore S.S., Raj R., Avasthe R., Yadav S.K., Das A., Yadav V., Yadav B., Shekhawat K., Upadhyay P.K., Yadav D.K., Singh V.K.
Chemosphere scimago Q1 wos Q1
2022-04-01 citations by CoLab: 157 Abstract  
Indiscriminate use of chemical fertilizers in the agricultural production systems to keep pace with the food and nutritional demand of the galloping population had an adverse impact on ecosystem services and environmental quality. Hence, an alternative mechanism is to be developed to enhance farm production and environmental sustainability. A nanohybrid construct like nanofertilizers (NFs) is an excellent alternative to overcome the negative impact of traditional chemical fertilizers. The NFs provide smart nutrient delivery to the plants and proves their efficacy in terms of crop productivity and environmental sustainability over bulky chemical fertilizers. Plants can absorb NFs by foliage or roots depending upon the application methods and properties of the particles. NFs enhance the biotic and abiotic stresses tolerance in plants. It reduces the production cost and mitigates the environmental footprint. Multitude benefits of the NFs open new vistas towards sustainable agriculture and climate change mitigation. Although supra-optimal doses of NFs have a detrimental effect on crop growth, soil health, and environmental outcomes. The extensive release of NFs into the environment and food chain may pose a risk to human health, hence, need careful assessment. Thus, a thorough review on the role of different NFs and their impact on crop growth, productivity, soil, and environmental quality is required, which would be helpful for the research of sustainable agriculture.
Lal P., Kumar A., Kumar S., Kumari S., Saikia P., Dayanandan A., Adhikari D., Khan M.L.
2020-08-01 citations by CoLab: 152 Abstract  
The Severe Acute Respiratory Syndrome-Coronavirus Disease 2019 (COVID-19) pandemic caused by a novel coronavirus known as SARS-CoV-2 has caused tremendous suffering and huge economic losses. We hypothesized that extreme measures of partial-to-total shutdown might have influenced the quality of the global environment because of decreased emissions of atmospheric pollutants. We tested this hypothesis using satellite imagery, climatic datasets (temperature, and absolute humidity), and COVID-19 cases available in the public domain. While the majority of the cases were recorded from Western countries, where mortality rates were strongly positively correlated with age, the number of cases in tropical regions was relatively lower than European and North American regions, possibly attributed to faster human-to-human transmission. There was a substantial reduction in the level of nitrogen dioxide (NO 2 : 0.00002 mol m −2 ), a low reduction in CO (
Gurung A.B., Ali M.A., Lee J., Farah M.A., Al-Anazi K.M.
BioMed Research International scimago Q2 wos Q3 Open Access
2021-06-24 citations by CoLab: 137 PDF Abstract  
The recent outbreak of the deadly coronavirus disease 19 (COVID-19) pandemic poses serious health concerns around the world. The lack of approved drugs or vaccines continues to be a challenge and further necessitates the discovery of new therapeutic molecules. Computer-aided drug design has helped to expedite the drug discovery and development process by minimizing the cost and time. In this review article, we highlight two important categories of computer-aided drug design (CADD), viz., the ligand-based as well as structured-based drug discovery. Various molecular modeling techniques involved in structure-based drug design are molecular docking and molecular dynamic simulation, whereas ligand-based drug design includes pharmacophore modeling, quantitative structure-activity relationship (QSARs), and artificial intelligence (AI). We have briefly discussed the significance of computer-aided drug design in the context of COVID-19 and how the researchers continue to rely on these computational techniques in the rapid identification of promising drug candidate molecules against various drug targets implicated in the pathogenesis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The structural elucidation of pharmacological drug targets and the discovery of preclinical drug candidate molecules have accelerated both structure-based as well as ligand-based drug design. This review article will help the clinicians and researchers to exploit the immense potential of computer-aided drug design in designing and identification of drug molecules and thereby helping in the management of fatal disease.
Mishra S.K., Tripathi T.
Acta Tropica scimago Q1 wos Q2
2021-02-01 citations by CoLab: 133 Abstract  
We are living through an unprecedented crisis with the rapid spread of the new coronavirus disease (COVID-19) worldwide within a short time. The timely availability of thousands of SARS-CoV-2 genomes has enabled the scientific community to study the origin, structures, and pathogenesis of the virus. The pandemic has spurred research publication and resulted in an unprecedented number of therapeutic proposals. Because the development of new drugs is time consuming, several strategies, including drug repurposing and repositioning, are being tested to treat patients with COVID-19. Researchers have developed several potential vaccine candidates that have shown promise in phase II and III trials. As of 12 November 2020, 164 candidate vaccines are in preclinical evaluation, and 48 vaccines are in clinical evaluation, of which four have cleared phase III trials (Pfizer/BioNTech's BNT162b2, Moderna's mRNA-1273, University of Oxford & AstraZeneca's AZD1222, and Gamaleya's Sputnik V vaccine). Despite the acquisition of a vast body of scientific information, treatment depends only on the clinical management of the disease through supportive care. At the pandemic's 1-year mark, we summarize current information on SARS-CoV-2 origin and biology, and advances in the development of therapeutics. The updated information presented here provides a comprehensive report on the scientific progress made in the past year in understanding of SARS-CoV-2 biology and therapeutics.
Gurung A.B., Ali M.A., Lee J., Farah M.A., Al-Anazi K.M.
Life Sciences scimago Q1 wos Q1 Open Access
2020-08-01 citations by CoLab: 110 Abstract  
A new SARS coronavirus (SARS-CoV-2) belonging to the genus Betacoronavirus has caused a pandemic known as COVID-19. Among coronaviruses, the main protease (Mpro) is an essential drug target which, along with papain-like proteases catalyzes the processing of polyproteins translated from viral RNA and recognizes specific cleavage sites. There are no human proteases with similar cleavage specificity and therefore, inhibitors are highly likely to be nontoxic. Therefore, targeting the SARS-CoV-2 Mpro enzyme with small molecules can block viral replication. The present study is aimed at the identification of promising lead molecules for SARS-CoV-2 Mpro enzyme through virtual screening of antiviral compounds from plants. The binding affinity of selected small drug-like molecules to SARS-CoV-2 Mpro, SARS-CoV Mpro and MERS-CoV Mpro were studied using molecular docking. Bonducellpin D was identified as the best lead molecule which shows higher binding affinity (-9.28 kcal/mol) as compared to the control (-8.24 kcal/mol). The molecular binding was stabilized through four hydrogen bonds with Glu166 and Thr190 as well as hydrophobic interactions via eight residues. The SARS-CoV-2 Mpro shows identities of 96.08% and 50.65% to that of SARS-CoV Mpro and MERS-CoV Mpro respectively at the sequence level. At the structural level, the root mean square deviation (RMSD) between SARS-CoV-2 Mpro and SARS-CoV Mpro was found to be 0.517 Å and 0.817 Å between SARS-CoV-2 Mpro and MERS-CoV Mpro. Bonducellpin D exhibited broad-spectrum inhibition potential against SARS-CoV Mpro and MERS-CoV Mpro and therefore is a promising drug candidate, which needs further validations through in vitro and in vivo studies.
Vishnoi S., Tyagi A., Singh B.P., Goel R.K.
Nano scimago Q3 wos Q4 Open Access
2025-02-26 citations by CoLab: 0 Abstract  
In this research Zinc Nitrate Hexahydrate [Formula: see text] was used to synthesize Zinc oxide (ZnO) nanostructures and polyethylene glycol ([Formula: see text] was used as the capping agent. During the synthesis process temperature and concentration of ammonium hydroxide [Formula: see text] and [Formula: see text] were changed to control the size and morphology of the synthesized ZnO nanostructures. The structural and physical investigations of synthesized ZnO nanostructures were done using UV–Vis spectrophotometry, scanning electron microscopy (SEM) equipped with energy dispersive X-ray analysis (EDXA) and X-ray powder diffraction (XRD). The XRD analysis indicated an enhancement in crystallite size from 16.14[Formula: see text]nm to 17.98[Formula: see text]nm, which further increased to 43.39[Formula: see text]nm as the concentration of [Formula: see text] was varied from 5[Formula: see text]mL to 15[Formula: see text]mL (at the rate of increment of 5[Formula: see text]mL each time). While the crystallite decreases from 17.98[Formula: see text]nm to 4.75[Formula: see text]nm as the concentration of [Formula: see text] increases from 0.5[Formula: see text]g to 1.5[Formula: see text]g (at the rate of increment of [Formula: see text] 0.5[Formula: see text]g in each step). The maximum crystallite size of 47.15[Formula: see text]nm was observed in ZnO.7 at room temperature and decreased with increment of temperature. Optical absorption spectra showed that ZnO.5 has a maximum direct bandgap of 3.68[Formula: see text]eV at [Formula: see text]C with the concentration of [Formula: see text] and [Formula: see text] of 10[Formula: see text]mL and 1.5[Formula: see text]g respectively. Overall, the study demonstrated that the size, morphology and optical properties of ZnO nanostructures can be effectively controlled by varying temperature, the concentration [Formula: see text] and [Formula: see text] during the synthesis process. The results could have significant implications for the development of ZnO-based nanoelectronics devices and other applications.
Das B., Basaiawmoit B., Sakure A.A., Maurya R., Bishnoi M., Kondepudi K.K., Tiwary B.K., Mankad P.M., Patel A., Hati S.
Current Pharmaceutical Design scimago Q2 wos Q2 Open Access
2025-02-25 citations by CoLab: 0 Abstract  
Introduction: This study aims to valorise cheese whey waste by converting it into bioactive peptides that have several health benefits, potentially leading to the development of nutraceuticals and functional foods and also used in pharmaceutical industry. Methods: The study evaluates the antidiabetic, antioxidative, and anti-inflammatory properties of fermented cheese whey with Limosilactobacillus fermentum (M4), along with the production of antioxidative and antidiabetic peptides. SDS PAGE and 2D PAGE were also performed to identify proteins by molecular weight and isoelectric point, while RP-HPLC distinguished peptide fractions. Peptide sequences from 2D gel spots were identified using RPLC/MS, and RP-HPLC analyzed 3 kDa and 10 kDa permeates. Peakview software characterized the LC/MS results, and FTIR analysis measured structural changes in bioactive peptides. Results: The antioxidative and antidiabetic properties in cheese whey fermented with M4 showed a progressive growth over extended incubation periods, higher effects were observed after fermentation for 48 hours. Inhibitory activities in α-glucosidase, α-amylase & lipase were found to be 65.39%, 66.09%, and 56.74% respectively. ABTS assay was performed to measure antioxidant activity (63.39%) and the highest proteolytic activity (7.62 mg/ml) was measured at 2.5% inoculation rate for 48 hours. In SDS-PAGE, protein bands between 10 & 30 kDa were observed, whereas peptide spots within the range of 10 to 70 kDa were also visualized on the 2D PAGE. RP-HPLC was used to distinguish different fractions of a peptide. Peptide sequences from 2D gel spots were identified using RP-HPLC & RPLC/MS. Peakview software was utilized to characterize the LC/MS results. Sequences of peptides generated from α-lactalbumin and β-lactoglobulin were searched in the BIOPEP database to validate the antidiabetic and antioxidative activities of fermented cheese whey peptides. 0.50 mg/mL of fermented cheese whey significantly LPS suppressed the production of proinflammatory cytokines as well as the mediators that govern them including IL-6, IL-1β, NO, and TNF-α in RAW 264.7 cells. FTIR was used to analysis of protein secondary structure and conformational changes. Conclusion: This study aims to the production of antidiabetic and antioxidative peptides from dairy waste, and cheese whey.
Odyuo M., Thangkhiew D.W.
2025-02-20 citations by CoLab: 0 Abstract  
Informal sector is a dominant sector in many developing economies. Although both genders face challenges in the informal sector, it can have differing impacts on the sexes. Women in the informal sector are subjected to instability of employment and income which exacerbates their socio-economic vulnerability. Additionally, adverse conditions emanating from personal and household circumstances can inflict further damage. As such, study of socio-economic vulnerabilities of women in the informal sector warrants further examination. The overall goal of this study is to examine the determinants of socio-economic vulnerabilities among female vendors in Nagaland, India. The study also intends to bring to light, the multi-dimensional nature of vulnerability. Primary data has been collected from 393 vendors in two districts of Nagaland – Kohima and Dimapur. Both descriptive and inferential statistics are applied to the data analysis. The initial determinants of socio-economic vulnerability are captured by 22 variables chosen after a thorough examination of literature. After which factor analysis and ordinal logistic regression were used for further analysis. The findings of the study indicate that being a migrant and residing in rented accommodations significantly elevate the vulnerability of the women, while being married significantly diminishes it. Also, the impact of vulnerability varies across dimensions. In our study, occupancy attributes have the most pronounced influence on vulnerability, while health attributes contribute the least.
Obeidat S.T., Das D., Eliwa M.S., Das B., Hazarika P.J., Mohammed W.W.
Mathematics scimago Q2 wos Q1 Open Access
2025-02-14 citations by CoLab: 0 PDF Abstract  
This study introduces two bivariate extensions of the recently proposed weighted discretized Fréchet–Weibull distribution, termed as bivariate weighted discretized Fréchet–Weibull (BWDFW) distributions. These models are specifically designed for analyzing two-dimensional discrete datasets and are developed using two distinct structural approaches: the minimum operator (BWDFW-I) and the maximum operator (BWDFW-II). A rigorous mathematical formulation is presented, encompassing the joint cumulative distribution function, joint probability mass function, and joint (reversed) hazard rate function. The dependence structure of the models is investigated, demonstrating their capability to capture positive quadrant dependence. Additionally, key statistical measures, including covariance, Pearson’s correlation coefficient, Spearman’s rho, and Kendall’s tau, are derived using the joint probability-generating function. For robust statistical inferences, the parameters of the proposed models are estimated via the maximum likelihood estimation method, with extensive simulation studies conducted to assess the efficiency and accuracy of the estimators. The practical applicability of the BWDFW distributions is demonstrated through their implementation in two real-world datasets: one from the aviation sector and the other from the security and safety domain. Comparative analyses against four existing discrete bivariate Weibull extensions reveal the superior performance of the BWDFW models, with BWDFW-I (minimum operator based) exhibiting greater flexibility and predictive accuracy than BWDFW-II (maximum operator based). These findings underscore the potential of the BWDFW models as effective tools for modeling and analyzing bivariate discrete data in diverse applied contexts.
Longkumer A.D., Rihmo H.L.
2025-02-13 citations by CoLab: 0 Abstract  
There has been a major transformation in the global economic order with the arrival of the so-called emerging markets. Interactions in the global market have become more dynamic and complex than ever with increased major players and stakeholders. This has spawned important debates and discussions in terms of energy that drives the market economy. However, such intellectual inquiry on the global energy market is also mired in the politics of climate change. It is at this juncture that the paper argues that there is a hierarchical relationship in terms of energy production and patterns of global energy consumption. Thus, the chapter delves into the subject of energy trilemma—energy security, affordability, and sustainability. However, this also encapsulates certain trajectories and path-dependencies in the global economy with major political underpinnings. This chapter makes a critical examination of the global demand for energy in new markets from an imperialist framework.
Nonglang F.P., Snaitang R., Roy D., Bhan S.
2025-02-12 citations by CoLab: 0 PDF Abstract  
Abstract Background A dysfunction in insulin secretion or action leads to hyperglycemia. Hyperglycemia then causes the activation of pathways that result in increased production of reactive oxygen and nitrogen species (ROS/RNS) levels, ultimately causing oxidative stress. Oxidative stress overload then causes cellular damage and also promotes the increased activation of the apoptosis pathway inducing cell death. Thus, regulation of glucose homeostasis to prevent hyperglycemia is crucial. In this study, the potential protective effect of Kaempferia galanga herbal extract (KGE) on hyperglycemia-induced oxidative stress and apoptosis was investigated. Result In this study, Kaempferia galanga (KG) herbal extracts, namely aqueous (KGA), ethanolic (KGE), methanolic (KGM), and chloroform (KGC), were tested for their antioxidant activity. In in vitro antioxidant assays, KG ethanolic extract (KGE) has the highest antioxidant activity out of all the extracts. High-performance thin layer chromatography phytochemical fingerprinting (HPTLC) analysis confirms that the presence of more antioxidant compounds in herbal KGE and ethyl-p methoxy cinnamate (EPMC) was the active phytochemical. Thus, KGE was chosen for in vivo studies. An intraperitoneal streptozotocin (STZ) administration produced a diabetic mouse model. In vivo herbal KGE treatment positively modulates SOD and CAT gene and protein expression in diabetic mice. Tissue protection from herbal KGE supplementation is supported by liver electron microscopy. In diabetic mice, herbal KGE supplementation reduces DNA fragmentation in the liver, kidney, pancreas, and heart by upregulating the gene and protein expression of anti-apoptotic BCL-2, inhibiting BAX expression, and ultimately inhibiting caspase-3 (CAS-3) expression. Herbal KGE supplementation in diabetic mice maintains insulin levels in serum and pancreas, indicating its protective role in preventing pancreatic damage or promoting β cell regeneration. Molecular docking analysis shows EPMC's high binding affinity for CAS-3, BAX, and BCL-2 compared to metformin suggesting that it may be responsible for modulating apoptotic protein expression. Discussion Herbal KGE supplementation protects against diabetes-induced tissue damage and apoptosis by reducing hyperglycemia-induced oxidative stress and apoptosis, and EPMC may be the active component eliciting the effect.
Lyngdoh Y.A., Saha P., Tomar B.S., Bhardwaj R., Nandi L.L., Srivastava M., Gurung B., Ranjan J.K., Chaukhande P.
Frontiers in Plant Science scimago Q1 wos Q1 Open Access
2025-02-04 citations by CoLab: 0 PDF Abstract  
Eggplant is a nutritionally rich crop that has beneficial effects on human health. Wide diversity exists in eggplant in terms of biochemical content; however, extensive research work has not been undertaken to gain more in-depth knowledge on its antioxidant capacity to improve the quality of the existing popular cultivated varieties and develop/identify nutrient-rich germplasms. Therefore, a total of 57 genotypes were chosen for the study, and they were evaluated for various biochemical compounds. The biochemical traits taken were an average of three replications and these values were used for statistical analysis. The analysis of variance for five fruit quality parameters indicated a high variability among the eggplant genotypes, which signifies that at least one of the genotypes is statistically different from the rest. The total phenolics ranged from 39.63 to 312.65 mg gallic acid equivalent (GAE)/100 g with the highest being observed in Pusa Krishna. The flavonoid content ranged from 7.83 to 65.09 mg/100 g FW. The antioxidant assays, viz., cupric reducing antioxidant activity (CUPRAC) and ferric reducing antioxidant power (FRAP), were evaluated which ranged from 51.48 to 200.36 mg GAE/100 g for CUPRAC and 35.36 to 214.01 mg GAE/100 g for FRAP. Principal component analysis (PCA) generated a total of five principal components, and the maximum variance of 90.72% was exhibited by the first three PCs. The agglomerative hierarchical clustering (AHC) revealed similar results to the PCA by identifying three major clusters. Cluster 1 had a maximum number of genotypes grouped together, i.e., 48, followed by cluster 2 with six genotypes, viz., Pusa Krishna (G-32), G-5, Mayurbhanj Local, HABI-2, Solanum gilo, and Solanum sisymbrifolium, and cluster 3 had only three genotypes, namely, Solanum insanum, Solanum khasianum, and Solanum xanthocarpum. Furthermore, the wild species S. insanum, S. khasianum, and S. xanthocarpum can also be utilized as a donor line for carrying out the nutritional breeding program as they are the reservoir of many important biochemical genes.
Borah R., Kumaria S., Choudhury H.
2025-01-30 citations by CoLab: 0 Abstract  
Magnolia punduana (Hook. f. & Thomson) Figlar is an endemic threatened taxon from Meghalaya that has been exploited heavily for its high-quality timber. The species has been listed as threatened (data deficient) in the IUCN RED list owing to its habitat destruction, fragmentation, and poor regeneration in the wild. Alternative measures like micropropagation becomes essential to raise M. punduana clones. To achieve this, micropropagation protocol was developed from nodal segments of young and mature M. punduana. The single primer amplification reaction (SPAR) method was employed to confirm the genetic uniformity among the regenerants. Induction of microshoots was achieved within 12–15 d of culture on Murashige and Skoog (MS) medium supplemented with 0.5 µM 6-benzylaminopurine (BAP). For shoot proliferation, microshoots were subcultured on half strength medium (half MS medium) supplemented with 0.5 µM BAP and 8.0 µM indole butyric acid (IBA). Regenerated shoots were best rooted on half MS medium fortified with 10 µM IBA. Acclimatization and final establishment of rooted plantlets were done on potting mixture of soil, sand, and perlite (1:1:1 v/v/v) with 80% survivability rate. The SPAR method revealed a monomorphism rate of 97.11% among regenerants derived from young mother plant (P1) explants while plantlets derived from mature mother plant (P2) explants showed 95.69% monomorphism. Jaccard’s similarity coefficient had similar findings showing maximum genetic homogeneity among plantlets derived from younger plant. Such high level of genetic uniformity confirmed through SPAR therefore ensures the success of the micropropagation protocol to be released for raising true-to-type genotype which may be utilized in the future by concerned stakeholders for clonal forestry, phytochemical extraction, pharmacognosy, and conservation.
Nongkhlaw R., Nongrum R., Arunachalam J., Kalia N.P., Agnivesh P.K., Nongkhlaw R.
3 Biotech scimago Q2 wos Q3
2025-01-30 citations by CoLab: 0 Abstract  
This study investigates drug-loaded liposomes targeting macrophages as a promising strategy to enhance Tuberculosis (TB) treatment. The focus is on optimizing liposomal formulations for encapsulating OX-23, a previously identified anti-mycobacterial agent with a minimum inhibitory concentration (MIC) of 1.56 µg/ml, and assessing their efficacy in macrophage infection models. Liposomal formulations were characterized for particle size, polydispersity index (PDI), and zeta potential using dynamic light scattering (DLS), with morphology analyzed by scanning electron microscopy (SEM) and transmission electron microscopy (TEM). Macrophage infection assays, including those with the THP-1 macrophage cell line, were performed to evaluate the targeting efficiency and therapeutic potential of the formulations. Results showed that OX-23 could be successfully encapsulated in liposomes with various charges, achieving high encapsulation efficiency, optimal particle size, and acceptable PDI values. In-vitro studies with the THP-1 cell line demonstrated sustained release of the drug from the liposomes, with morphological analysis confirming that the liposomes were spherical and non-aggregated. The formulations exhibited significant penetration into infected macrophages and effectively inhibited the growth of intracellular Mycobacterium tuberculosis at the tested concentrations. These findings support the potential of liposomal OX-23 in targeting both extracellular and intracellular M. tuberculosis, offering a promising approach to TB treatment.
Indrason N., Khongbuh W., Baital K., Saha G.
2025-01-30 citations by CoLab: 0
Borah P., Kyndiah L., Bora R.M., Chingangbam S., Pal A.K.
ChemistrySelect scimago Q3 wos Q3
2025-01-29 citations by CoLab: 0 Abstract  
AbstractIn this study, a cobalt‐mediated approach toward the synthesis of iodinated imidazo‐fused heterocycles employing molecular iodine as an iodine source, and 1,2‐DCB as the sovent at 120 °C has been documented. An assortment of iodinated imidazo[1,2‐a]pyridines were acquired in moderate to good yields (71%–84%) by using 2‐aminopyridines and substituted styrenes as initial materials. This fine‐tuned protocol has also been broadened with acetophenones in moderate to good yields (66%–90%). This protocol provides a straightforward pathway for the synthesis of iodoimidazo[1,2‐a]pyridines. Iodoimidazo[1,2‐a]pyridine was further derivatized to 2,3‐diphenylimidazo[1,2‐a]pyridine, an important biologically active molecule, with phenylboronic acid or simple benzene. Additionally, the gram scale reaction shows the high industrial applicability of the protocol.
Manohar K.A., Sivasankarreddy K., Shukla G., Chakraborty M., Roy B., Chakravarty S.
Sugar Tech scimago Q2 wos Q2
2025-01-27 citations by CoLab: 0 Abstract  
The present study was an attempt to optimize the regeneration protocols of Stevia rebaudiana (Bert.). Leaf and nodal explants were inoculated in MS medium supplemented with various plant growth regulators in different combinations and concentrations in order to attain direct and indirect regeneration. Among the treatments used, 2 mg/L of indole-3-acetic acid (IAA) + 1 mg/L of 6-Benzylaminopurine (BAP) displayed better results in stevia for callus induction when leaf and nodal explants were used, but in the case of nodal explants, it took more days for callus initiation compared to leaf segment. Among the treatments, 2.0 mg/L of IAA + 1.0 mg/L of BAP were found to be better for callus induction and subsequent plantlets regeneration (66.15%) from leaf explant of stevia. MS medium fortified with 0.5 mg/L of kinetin produced a high regeneration response (46.92%), the highest number of plantlets (40.67%) per explant, and the maximum number of roots (5.00) per plantlet in case of direct in vitro regeneration. While the MS medium fortified with 1.0 mg/L of BAP + 2.0 mg/L of IAA was found to be the best indirect in vitro regeneration of stevia plantlets from nodal explants concerning the highest regeneration response (68.10%), number of plantlets per explant and shoot length. MS medium added with 1.0 mg/L of BAP + 2.0 mg/L of IAA was reported to have the highest root regeneration ability (67.41%) and considerable length of roots for rooting of in vitro derived plantlets of stevia. The Soilrite was the best for acclimatizing in vitro regenerated plantlets of stevia. This is the first successful report on micropropagation in Stevia rebaudiana from sub-Himalayan region of West Bengal, India. A combination of IAA and BAP proved better for direct and indirect organogenesis. The Soilrite media was the best for acclimatization of in vitro regenerated plantlets with the highest (68.57%) survival rate in field conditions. Results of the present study will be useful for mass multiplication of Stevia rebaudiana using direct and indirect in vitro approaches. Moreover, direct in vitro shoot formation from leaves of Stevia rarely reported may open up possibilities of more successful large-scale cultivation of Stevia in the region and elsewhere.

Since 1975

Total publications
4574
Total citations
56561
Citations per publication
12.37
Average publications per year
91.48
Average authors per publication
4.47
h-index
78
Metrics description

Top-30

Fields of science

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General Medicine, 493, 10.78%
Physical and Theoretical Chemistry, 485, 10.6%
Biochemistry, 402, 8.79%
Inorganic Chemistry, 384, 8.4%
Materials Chemistry, 350, 7.65%
Organic Chemistry, 349, 7.63%
General Chemistry, 342, 7.48%
Plant Science, 256, 5.6%
Molecular Biology, 226, 4.94%
Condensed Matter Physics, 223, 4.88%
Genetics, 198, 4.33%
Spectroscopy, 174, 3.8%
General Physics and Astronomy, 168, 3.67%
Ecology, Evolution, Behavior and Systematics, 149, 3.26%
General Materials Science, 148, 3.24%
Agronomy and Crop Science, 137, 3%
Drug Discovery, 128, 2.8%
Instrumentation, 127, 2.78%
General Chemical Engineering, 121, 2.65%
Atomic and Molecular Physics, and Optics, 119, 2.6%
Cell Biology, 117, 2.56%
Electrical and Electronic Engineering, 115, 2.51%
Analytical Chemistry, 114, 2.49%
Electronic, Optical and Magnetic Materials, 107, 2.34%
Nuclear and High Energy Physics, 100, 2.19%
Physiology, 100, 2.19%
Microbiology, 99, 2.16%
Animal Science and Zoology, 99, 2.16%
Health, Toxicology and Mutagenesis, 87, 1.9%
General Environmental Science, 87, 1.9%
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With other countries

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USA, 255, 5.57%
Germany, 127, 2.78%
China, 93, 2.03%
Italy, 71, 1.55%
Switzerland, 68, 1.49%
United Kingdom, 57, 1.25%
Australia, 56, 1.22%
Saudi Arabia, 53, 1.16%
Canada, 52, 1.14%
Japan, 45, 0.98%
Republic of Korea, 43, 0.94%
France, 36, 0.79%
Trinidad and Tobago, 36, 0.79%
Czech Republic, 36, 0.79%
Belgium, 34, 0.74%
South Africa, 32, 0.7%
Malaysia, 27, 0.59%
Portugal, 24, 0.52%
Mexico, 24, 0.52%
Sweden, 23, 0.5%
Netherlands, 22, 0.48%
Greece, 21, 0.46%
Poland, 21, 0.46%
Russia, 18, 0.39%
Hungary, 16, 0.35%
Vietnam, 15, 0.33%
Egypt, 14, 0.31%
Finland, 14, 0.31%
Spain, 12, 0.26%
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  • We do not take into account publications without a DOI.
  • Statistics recalculated daily.
  • Publications published earlier than 1975 are ignored in the statistics.
  • The horizontal charts show the 30 top positions.
  • Journals quartiles values are relevant at the moment.