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The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) pandemic has adversely affected humankind and caused millions of deaths globally since January 2020. Robust and quick serological tests such as antibody detection assays for SARS-CoV-2 provide relevant information and aid in the process of vaccine development and diagnostics, as well as in sero-epidemiological monitoring of antibody response to the virus. The receptor-binding domain (RBD) of spike and nucleocapsid protein are specific targets for detecting SARS-CoV-2 antibodies. Here, we present the development of a stable spike (S) and nucleocapsid (N) protein-based ELISA antibody detection test "CoroSuchak," with 99% sensitivity, 98% specificity, cost-effective, and detection in a minimum time for serodiagnosis and mass screening of the population for antibodies against SARS-CoV-2. Blood samples were analyzed from 374 SARS-CoV-2 reverse transcription-polymerase chain reaction (RT-PCR) positive, 772 negative and asymptomatic, and 874 random groups of subjects. We found that the antibody titer was significantly higher (p 0.0001) in infected and vaccinated group compared to the only vaccinated and only infected group. Using enzyme-linked immunosorbent assay (ELISA), we detected SARS-CoV-2 immunoglobulin G (IgG) antibodies in 118/123 (96%) infected individuals, 570/653 (87%) non-infected but vaccinated individuals, 231/237 (97%) individuals who were both infected and vaccinated, and 499/874 (57%) from randomly selected individuals from the first and second waves of the pandemic. Similarly in the third wave, 14/14 (100%) infected and 16/20 (80%) RT-PCR-negative but symptomatic subjects were detected. Thus, the highly sensitive and specific in-house developed ELISA antibody detection kit "CoroSuchak" is extremely useful to determine the seroprevalence of SARS-CoV-2 antibodies in the coronavirus-exposed population. KEY POINTS: •Indigenous kit using a combination of spike and nucleocapsid proteins and peptide sequences. •High sensitivity and specificity to detect variants. •Highly sensitive for mass screening.

The main thematic concern of the present research paper is to discuss the conditions of contemporary tribal people in our society through select literary fiction. Subaltern is ‘of an inferior rank’, refers to those groups in society who are subject to the hegemony of the ruling class. The word subaltern specially denotes the lower classes, oppressed people at the margins of a society and social group who are struggling against hegemonic globalization. The voice of subaltern, a by-product of social, economic, religious conditions of historical Indian society, attempts to expose the experience of discrimination, poverty and human rights violation of lower class in contemporary India. Subaltern writers’ prime concern is to raise voice against the injustice and inequality in social and economic domain. Gayatri C. Spivak says in her article “Can the subaltern speak”, the subaltern has no history and they cannot speak out, subaltern as female is even more deeply in shadow. In this research paper deals with the dynamics of gender discrimination in contemporary Indian tribal society. Our country is rich with a diversity of religions, arts, customs, races, traditions, and languages. On the other side Indian tribal literature is a document of life experiences of the marginal section. It is also a medium of expression of experiences that has been faced throughout the life in the form of excommunication, marginalization, exploitation and humiliation for centuries in the Indian caste and class-ridden society. These experiences are expressed in the contemporary Indian tribal literary fiction. Gopinath Mohanty’s Paraja, Mahaswtea Devi’s Dust on the Road, Mamang Dai’s The Black Hill, and Hari Ram Meena’s When Arrows Were Heated Up are select for this research paper.

Wildlife strikes (mainly birds, but also includes bats and other mammals on the ground) with aircraft isa serious economic and safety concern in the aviation industry. The solution to the problem can be evolved byidentifying the species involved in the incidents/ accidents. In the Indian context, such an attempt was started in1980. In the recent past, the Indian Air Force adopted the DNA Bar-coding technology to identify the species involved. The extent of the problems faced by the country and involvement of different species in various time blocks has been compared with the objective of analyzing changes over different periods to gauge the changes and assess the future requirements. The data indicates that over the years, the number of strikes has increased manifold in the civil aviation sector. The number of species involved in strikes has almost doubled. The serious strikes due to Vultures have nearly disappeared and their place has been mainly taken over by Black Kites. In the recent past, Black Kites are the cause of the highest damages and also have the highest probability of causing damages (61.17%) when struck. Adoption of DNA Barcoding technology has helped to identify the species in incidents where minimal bird remnants were found. Although the number of accidents has decreased, the economical losses continue to rise due to the high cost of modern aircraft.

The use of social media, over the past few years, has escalated enormously. Social media has formed a platform for the availability of abundant data. Thousands of people express their perceptions through social media. Sentiment Analysis (SA) of such views and perceptions is very substantial to measure public notion on a peculiar/specific subject matter of concern. SA is a remarkable field of data mining concerned with identification and translation of sentiments accessible on social media. Twitter is a microblogging site in which users can post updates (tweets) to friends (followers). This paper proposes a mechanism for extracting the sentiments from the tweets posted on Twitter. Tweets can be classified as positive, neutral or negative. The metaheuristic-based clustering techniques are superior to conventional techniques due to the subjective behaviour of tweets. A hybrid strategy, named as Hybrid Spider Monkey optimization with k-means clustering, is introduced to obtain the optimal cluster-heads of the dataset. The accuracy of the proposed method is determined on two datasets, namely, sender2 and twitter. To analyse the authenticity of the proposed method, a comparative analysis is performed with a few significant Nature-Inspired Algorithms such as Spider-Monkey optimization, Particle-Swarm algorithm, Genetic-Algorithm and Differential Evolution.

Outbreak of COVID-19 pandemic in December 2019 affected millions of people globally. After substantial research, there is no specific and reliable biomarker available till date. Present study was designed to identify specific biomarkers to predict COVID-19 severity and tool for formulating treatment. A small cohort of subjects (n=43) were enrolled and categorized in four study groups; Dead (n=16), Severe (n=10) and Moderate (n=7) patients and healthy controls (n=10). Small RNA sequencing was done on Illumina platform after isolation of microRNA from peripheral blood. Differential expression (DE) of miRNA (patients groups compared to control) revealed 118 down-regulated and 103 up-regulated known miRNAs with fold change (FC) expression ≥2 folds and p≤0.05. DE miRNAs were then subjected to functional enrichment and network analysis. Bioinformatic analysis resulted in 31 miRNAs (24 Down-regulated; 7 up-regulated) significantly associated with COVID-19 having AUC>0.8 obtained from ROC curve. Seventeen out of 31 DE miRNAs have been linked to COVID-19 in previous studies. Three miRNAs, hsa-miR-147b-5p and hsa-miR-107 (down-regulated) and hsa-miR-1299 (up-regulated) showed significant unique DE in Dead patients. Another set of 4 miRNAs, hsa-miR-224-5p (down-regulated) and hsa-miR-4659b-3p, hsa-miR-495-3p and hsa-miR-335-3p were differentially up-regulated uniquely in Severe patients. Members of three miRNA families, hsa-miR-20, hsa-miR-32 and hsa-miR-548 were significantly down-regulated in all patients group in comparison to healthy controls. Thus a distinct miRNA expression profile was observed in Dead, Severe and Moderate COVID-19 patients. Present study suggests a panel of miRNAs which identified in COVID-19 patients and could be utilized as potential diagnostic biomarkers for predicting COVID-19 severity.

Spider monkey optimization (SMO) algorithm imitates the spider monkey's fission-fusion social behavior. It is evident through literature that the SMO is a competitive swarm-based algorithm that is used to solve difficult real-life problems. The SMO's search process is a little bit biased by the random component that drives it with high explorative searching steps. A hybridized SMO with a memetic search to improve the local search ability of SMO is proposed here. The newly developed strategy is titled Memetic SMO (MeSMO). Further, the proposed MeSMO-based clustering approach is applied to solve a big data problem, namely, the spam review detection problem. A customer usually makes decisions to purchase something or make an image of someone based on online reviews. Therefore, there is a good chance that the individuals or companies may write spam reviews to upgrade or degrade the stature or value of a trader/product/company. Therefore, an efficient spam detection algorithm, MeSMO, is proposed and tested over four complex spam datasets. The reported results of MeSMO are compared with the outcomes obtained from the six state-of-art strategies. A comparative analysis of the results proved that MeSMO is a good technique to solve the spam review detection problem and improved precision by 3.68%.

High altitude pulmonary edema (HAPE) is experienced by non-acclimatized sea level individuals on exposure to high altitude hypoxic conditions. Available evidence suggests that genetic factors and perturbed mitochondrial redox status may play an important role in HAPE pathophysiology. However, the precise mechanism has not been fully understood. In the present study, sequencing of mitochondrial DNA (mtDNA) from HAPE subjects and acclimatized controls was performed to identify pathogenic mutations and to determine their role in HAPE. Hypobaric hypoxia induced oxidative stress and metabolic alterations were also assessed in HAPE subjects. mtDNA copy number, mitochondrial oxidative phosphorylation (mtOXPHOS) activity, mitochondrial biogenesis were measured to determine mitochondrial functions. The data revealed that the mutations in Complex I genes affects the secondary structure of protein in HAPE subjects. Further, increased oxidative stress during hypobaric hypoxia, reduced mitochondrial biogenesis and mtOXPHOS activity induced metabolic reprogramming appears to contribute to mitochondrial dysfunctions in HAPE individuals. Haplogroup analysis suggests that mtDNA haplogroup H2a2a1 has potential contribution in the pathobiology of HAPE in lowlanders. This study also suggests contribution of altered mitochondrial functions in HAPE susceptibility.

Background Gorkhas, a sub-mountainous population of the Himalayan region, are known for strength and bravery. In the present study when “Gorkha” is used without brackets, we are mentioning Gorkhas of Tibeto-Burman origin. Physical capability, strength and endurance are important components of fitness associated with genetic traits. The aim of this study was to examine the endurance potential of male Gorkha soldiers, based on endurance-related genetic markers ACE I/D, ACTN3 Arg (R)577Ter(X), CKMM A/G NcoI and eNOS Glu(G)298Asp(T). Methods Genotypic and allelic frequencies were determined in 374 male Gorkha soldiers (Tibeto-Burman). These frequencies were compared with frequencies obtained from Gorkha (Indo-Aryan), high-altitude natives (Tibeto-Burman) and Indian lowlanders (Indo-Aryan). “Total genotype score” (TGS) was calculated from accumulated combination of polymorphisms with maximum value “100” for theoretically “optimal” polygenic score. Probability of occurrence of “optimal” endurance profile was also determined. Results ACE II genotypic frequency was highest in Tamangs followed by Gurungs, Rais, Limbus and Magars. No statistical difference in genotypic and allelic frequency of ACTN3 Arg(R)577Ter(X) was noted within the groups. Rais showed the highest CKMM A allele frequency (0.908) compared to other Gorkha (Tibeto-Burman) groups. Limbus and Tamangs showed the highest eNOS G allele frequency (0.938 and 0.915, respectively) compared to that of other groups. Probability of male Gorkha soldiers possessing a theoretically optimal polygenic endurance profile for four candidate polymorphisms was ~3.35% (1 in 30). Four percent of the population of male Gorkha soldiers (15 in 374) exhibited an optimal TGS 100, and 16% exhibited TGS 87 for endurance compared to male Indian soldiers belonging to the lowland (Indo-Aryan) and Gorkha (Indo-Aryan) populations suggesting an overall more “favourable” polygenic profile in the male Gorkha soldier (Tibeto-Burman) population. Conclusions This study presents evidence of higher frequency of endurance-associated genes in the Gorkhas implying thereby that such genetically endowed individuals from the population may be selected and trained for achieving excellence in endurance-related elite sports activities. Electronic supplementary material The online version of this article (doi:10.1186/s40798-017-0085-0) contains supplementary material, which is available to authorized users.

High Altitude Pulmonary Edema (HAPE) is a threatening disorder caused due to acute exposure to high altitude above 3000 m. Apart from multiple factors involved, the genetic factors also play an important function in the pathogenesis of HAPE. This study aims to evaluate the role of mtDNA polymorphism and their association with haplogroup in understanding the etiology of HAPE. In this study, all the HAPE susceptible and acclimatized control subjects could be classified into nine haplogroups pertaining mostly to Macrohaplogroup M and U. The frequency of haplogroup M was significantly higher in HAPE susceptibles whereas the haplogroup M33a2′3 was found only in HAPE susceptibles. The variant G4491A and A4944G of MT-ND2, A14002G of MT-ND5, and C8562T of MT-ATP8, were definition site of haplogroup M33a2′3. The frequency of A10398G of MT-ND3, A8701G of MT-ATP6 and C14766T of MT-CYB genes were significantly higher in HAPE susceptibles. mtDNA copy number also plays a significant synergistic role in HAPE susceptibility. Our findings suggests that variants in MT-ND2 and MT-ND5 were predicted to confer decreased protein stability in HAPE susceptibles and in particular, highly conserved variants G4491A, A4944G and A14002G associated with haplogroup M33a2′3 may be the primary cause of susceptibility to HAPE in Indian male lowlanders.

In today’s world Images play very important role to get the information about any object. The real examples are in medical industry For M.R.I and C.T Scans, in forecasting for analyzing the satellite images and in tourism industries to select the better image among the various images of place. Sometimes images are not clear so we are unable to extract information. To solve this problem there is a concept Image Processing. Images are used to extract information about any object to generate the reports and data for the further processing. The main motive to write this paper is to detect more edges with good intensity, good contrast and less noise in an image which is enforced using PYTHON and the results obtained are studied and thereby mentioned, highlighting the techniques performance. So, in this dissertation some existing techniques are used and new improved algorithm is applied on the image and results of proposed algorithm are comparing with existing method. Performed experiments showed that improved algorithm is better as compare to the normal Laplacian edge detection and existing method; we can say this by examining images with some parameters like MSE, PSNR, standard deviation and MEAN values. The algorithm is demonstrated through the segmentation of colored or grayscale images. The correctness of proposed method is estimated and a comparative analysis against techniques Laplacian and existing method [2] and improved algorithm is presented.

India represents an amazing confluence of geographically, linguistically and socially disparate ethnic populations (Indian Genome Variation Consortium, J Genet 87:3-20, 2008). Understanding the genetic diversity of Indian population remains a daunting task. In this paper we present detailed analysis of genomic variations (high-depth coverage (~ 30×) using Illumina Hiseq 2000 platform) from three healthy Indian male individuals each belonging to three geographically delineated regions and linguistic phylum viz. high altitude region of Ladakh (Tibeto-Burman linguistic phylum), sub mountainous region of Kumaun (Indo-European linguistic phylum) and sea level region of Telangana (Dravidian linguistic phylum) for probing the extent of genetic diversity in our population. The sequencing analysis provided high quality data (~ 95% of the total reads aligned to the human reference genome for each sample) and very good alignment quality (> 80% of the filtered mapped reads had a quality score of 60). A total of 4.3, 3.7 and 4.3 million single nucleotide variations were identified in the genome of high altitude, sub mountainous and sea level respectively by comparing with human reference genome. Approximately 17.3, 18.2, 17.4% of the variants were unique in the three genomes. The study identified many novel variations in the three diverse genomes (132,970 in Ladakh, 112,317 in Kumaun and 128,881 in Telangana individual) and is an important resource for creating a baseline and a comprehensive catalogue of human genomic variation across the Indian as well as the Asian continent.

Comparison of physiological characteristics and VO2max in male Gorkha soldiers grouped according to total genotype score (TGS). (DOCX 32Â kb)

Frequency distribution of total genotype score (TGS) from male Gorkha soldiers (nâ =â 374). (a) Tabular information of TGS. (b) Graphical representation of TGS. (DOC 85Â kb)

Descriptive statistics and comparative analysis of maximal oxygen uptake (VO2 max in ml kg−1 min−1) between genotypes and groups. (DOC 36 kb)

Total genotype score and percentage of frequency for all the possible combinations of four polymorphisms in male Gorkha soldiers. (DOC 89Â kb)

Association analysis of combinatorial genotype profiles with maximal oxygen uptake (VO2max in ml kg−1 min−1). (DOC 36 kb)

Recognition of virus infection by retinoic acid-inducible gene (RIG) I and melanoma differentiation-associated protein (MDA) 5, which are RNA helicases, and interferon-stimulated gene (ISG) 15 activates cascades of signal transduction pathways leading to production of type I interferons and proinflammatory cytokines that orchestrate the elimination of the viruses. However, it has been demonstrated that RNA-helicase-mediated innate immunity plays an essential role in defending the host from infection. In our efforts to identify plant-derived antivirals that selectively enhance ISG- and RNA-helicase-mediated antiviral immune responses, we identified a plant, rhodiola, that significantly promoted ISG, RIG-I and MDA 5 gene expression and an antiviral immune response against dengue virus (DENV) infection. Rhodiola induced interferon (IFN) β and other cytokines, including IL-1β, TNF-α, IL-6 and IL-8, in infected cells. It was also found that rhodiola upregulated phosphorylated eIF-2α, PKR and NF-kB in infected cells. In addition, the number of NK cells was also increased by rhodiola treatment in dengue-virus-infected human PBMCs. Treatment with a crude extract of rhodiola (RAE) resulted in effects in the 20 % range, which is similar to the magnitude of the same effects observed in DENV infections. Taken together, our results imply that rhodiola induces pharmacological modulation of RIG-I, MDA 5 and ISG signal transduction pathways in favor of the induction of a beneficial antiviral immune response against dengue virus, which can be a novel therapeutic strategy for management of infection.

In the present study, we have evaluated the anti-cellular and immunomodulatory potential of aqueous extract of Rhodiola imbricata rhizome (RAE). Rhodiola extract inhibited the proliferation of human T cell lymphoma cell line EL-4 and erythroleukemic cell line HL-60. Furthermore, treatment of human peripheral blood mononuclear cells (hPBMCs) with lipopolysaccharide (LPS) and RAE suppressed regulated upon activation, normal T cell expressed and secreted (RANTES) production. However, number of TNF-α spots was increased in RAE treated hPBMCs. The reverse transcriptase polymerase chain reaction (RT-PCR) analysis of RAE treated rat splenocytes confirmed the up regulation of TLR-4 mRNA expression. Therefore, the present study concludes that RAE has potent immune boosting activity which might be useful in immunocompromised individuals.