117 research outputs found

    Role of turbulences in WDM-polarization interleaving scheme based inter-satellite communication system

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    Inter-Satellite communication is the revolutionary technology used to transmit the signals between the satellites.This work is focused to carry out the investigation of turbulences in Inter-Satellite communication system by incorporating WDMPI interleaving scheme. A 6 x 20 Gbps channels are transported over Inter-Satellite link having span of 1000 km to realize the total transmission of 120 Gbps.The role of transmitter pointing errors and receiving pointing errors in the OWC link is investigated and results are reported in terms of SNR, total received power and eye diagrams

    Effect of maternal anaemia on foetal Doppler indices during third trimester of pregnancy

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    Background: Anaemia is amongst the most common medical disorders encountered during pregnancy all over the world. India has a high rate of anaemia in pregnant women. Anaemia has a recognizable effect on both maternal and foetal health during pregnancy and on perinatal outcome, contributing remarkably to maternal morbidity and mortality. Routine foetal monitoring is an essential investigation for such females with special emphasis on obstetrics Doppler ultrasonography. Various changes due to foetal hypoxia due to maternal anaemia can be remarkably appreciated on Doppler helping in timely management. The objective of this study was to evaluate the effect of maternal anaemia on foetal Doppler indices.Methods: 400 pregnant women were assessed in a cross-section observational study done in the department of Radiodiagnosis in MYH, Indore, India. These women were divided into three groups of mild, moderate and severe anaemia based on the level of haemoglobin.Results: Umbilical artery resistive and pulsatility indices were found to be increased with the increasing severity of anaemia while middle cerebral artery indices and CPR showed a decreasing trend with the increasing severity of anaemia.Conclusions: We found that severe maternal anaemia is associated with marked adaption in foetal haemodynamics. Obstetrics Doppler can be used as an accurate measure of surveillance for foetal monitoring and will help in appropriate management

    Rice transcriptome analysis reveals nitrogen starvation modulates differential alternative splicing and transcript usage in various metabolism-related genes

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    Nitrogen (N) is crucial for plant growth and development; however, excessive use of N fertilizers cause many problems including environmental damage, degradation of soil fertility, and high cost to the farmers. Therefore, immediate implementation is required to develop N efficient crop varieties. Rice being low nitrogen use efficiency (NUE) and a high demand staple food across the world has become a favorite crop to study the NUE trait. In the current study, we used the publicly available transcriptome data generated from the root and shoot tissues of two rice genotypes IR-64 and Nagina-22 (N-22) under optimum N supply (N+) and chronic N-starvation (N−). A stringent pipeline was applied to detect differentially expressed genes (DEGs), alternatively spliced (DAS) genes, differentially expressed transcripts (DETs) and differential transcript usage (DTU) transcripts in both the varieties and tissues under N+ and N− conditions. The DAS genes and DTU transcripts identified in the study were found to be involved in several metabolic and biosynthesis processes. We suggest alternative splicing (AS) plays an important role in fine-tuning the regulation of metabolic pathways related genes in genotype, tissue, and condition-dependent manner. The current study will help in understanding the transcriptional dynamics of NUE traits in the future

    Staphylococcus aureus still the commonest culprit

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    Background: Sepsis is still one of the most leading cause of death in world. 19 million sepsis (formerly severe sepsis) cases and 5 million sepsis-related deaths are estimated to occur annually. Sepsis is also one of the most common cause of patients getting critically ill and getting admission in intensive care unit. The main focus of this study is to identify the culture isolate from the critically ill patients and to check for the antibiotic sensitivity and resistance and identify if the report has changed the course of treatment and outcome of the patients. Critical illness is a life-threatening multisystem process that can result in significant morbidity or mortality. Critically ill patients are those who have dysfunction or failure of one or more organs/system and depend on survival from advanced instruments of monitoring and therapy. The aim of the study was to identify the causative organism causing sepsis in critically ill patients.Methods: It will be multi central retrospective study which included patients of critical illness of Rohilkhand Medical college, Bareilly, Uttar Pradesh and Varun Arjun Medical college, Shahjanpur, A total of 468 patients were taken for the analysis during period of from August 2018 to November 2019 among of which 324 samples came positive. Samples were taken on day one of the patient’s presentation to the hospital and were analysed in BD BACTEC culture medium. Patient’s data were taken from records available at both the hospitals. Sensitivity was performed using disk diffusion method and the results were compared with the records of patients.Results: Among of samples taken that is 324; 194 were male and 130 were female. Maximum patients which were tested positive for Staphylococcus aureus (n=198). Others included Streptococcus pneumococcus (n=25), Escherichia coli (n=50), Klebsiella oxytoca (n=13), Klebsiella pneumoniae (n=15), Pseudomonas aeruginosa (n=20), and Acinetobacter (n=3). In retrospective analysis of the patients of all 324 cases treatment in approximately 148 patients was changed due to change in the sensitivity of antibiotics.Conclusions: Staphylococcus still dominates the sepsis. It is advisable to add an antibiotic with gram negative if patients count does not improve in first 24 hour.

    Next generation sequencing-based exploration of genomes and transcriptomes of medicinal plants

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    Medicinal plants are known for their therapeutic potential and have been associated with human history for their use in traditional medicine systems in different countries. Recent advances in next generation sequencing (NGS) technologies have accelerated research on medicinal plants with reduced cost and efforts. NGS technologies not only provide opportunity for high throughput whole genome sequencing, they also facilitate direct RNA sequencing. The sequence data-sets generated can further be explored for application in various areas of research such as comparative genomics, data mining for small and long non-coding RNAs, mining of molecular markers, gene discovery, etc. Continuous efforts are being made by commercial sequencing service providers in improving technology to overcome bioinformatics challenges in NGS data analysis. In recent past, genome sequence projects on various medicinal plants have been successfully accomplished and few others are in pipeline. Similarly, enormous NGS-based transcriptome data have been generated in a number of medicinal plants. In the present review, we have briefly attempted to address advancement in NGS technology, genomic and transcriptomics studies on medicinal plants with special emphasis on seabuckthorn (Hippophae sp.), a medicinally important plant of Indian Himalayas. Moreover, the scope of implementation of NGS based research on medicinal plants have been explored for the selection of candidate genes involved in particular biosynthesis pathways. The identified genes can be exploited for engineering medicinal plants for producing improved quality biologically active phytocompounds

    DeepSAGE based differential gene expression analysis under cold and freeze stress in Seabuckthorn (Hippophae rhamnoides L.)

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    Seabuckthorn (Hippophae rhamnoides L.), an important plant species of Indian Himalayas, is well known for its immense medicinal and nutritional value. The plant has the ability to sustain growth in harsh environments of extreme temperatures, drought and salinity. We employed DeepSAGE, a tag based approach, to identify differentially expressed genes under cold and freeze stress in seabuckthorn. In total 36.2 million raw tags including 13.9 million distinct tags were generated using Illumina sequencing platform for three leaf tissue libraries including control (CON), cold stress (CS) and freeze stress (FS). After discarding low quality tags, 35.5 million clean tags including 7 million distinct clean tags were obtained. In all, 11922 differentially expressed genes (DEGs) including 6539 up regulated and 5383 down regulated genes were identified in three comparative setups i.e. CON vs CS, CON vs FS and CS vs FS. Gene ontology and KEGG pathway analysis were performed to assign gene ontology term to DEGs and ascertain their biological functions. DEGs were mapped back to our existing seabuckthorn transcriptome assembly comprising of 88,297 putative unigenes leading to the identification of 428 cold and freeze stress responsive genes. Expression of randomly selected 22 DEGs was validated using qRT-PCR that further supported our DeepSAGE results. The present study provided a comprehensive view of global gene expression profile of seabuckthorn under cold and freeze stresses. The DeepSAGE data could also serve as a valuable resource for further functional genomics studies aiming selection of candidate genes for development of abiotic stress tolerant transgenic plants

    Transcriptome Sequencing and Analysis of Seabuckthorn (Hippophae Sp.)

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    Seabuckthorn (Hippophae Sp.) is known for its immense medicinal, nutritional, and agronomical properties and has been utilized for centuries as traditional medicine and food supplements in various countries of Asia and Europe. The revolutionary development in the field of sequencing from first to the third generation opens a whole new horizon to explore the transcriptome of non-crop but important plant species. Many next-generation sequencing (NGS)-based transcriptome studies exploring different prospects such as therapeutic uses, stress management, and sex determination have been conducted for seabuckthorn in the last decade. Currently, a complete transcriptome profile from leaf and root tissues along with other transcriptomes profiled under different environmental conditions is available in the public domain for seabuckthorn. In the current chapter, we have highlighted the recent developments and techniques used for NGS-based transcriptome profiling for seabuckthorn. We have also discussed the challenges and prospects of NGS-based transcriptome studies in seabuckthorn. The transcriptome profiles generated for seabuckthorn could further be exploited to isolate molecular markers, microRNAs, other small and long non-coding RNAs, and gene families specific to this plant. Finally, a strategy for the utilization of third (next to next) generation sequencing to explore the seabuckthorn transcriptome is also discussed. The current chapter could serve as a good reference for transcriptome studies in seabuckthorn and other related plant species

    Anthropometric study of hand parameters for redesigning surgical instruments to combat ergonomic challenges in an operation theatre

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    Introduction: Anthropometric hand dimensions are used in the design of hand instruments for improving the efficiency and human comfort of surgical equipment and instruments. Instruments built for large male hands make it more difficult for petite female hands to operate them, which reduces their productivity and increases the risk of musculoskeletal diseases. So, the present study was undertaken to evaluate the differences in anthropometric and biomechanical parameters between the dominant hands of adult Indian males and females. Methods: The study was conducted on 335 Indian health care professionals of which 168 were males and 167 were females. Various anthropometric and biomechanical parameters were measured on the dominant hand of all the individuals included in the study. Length, breadth and span of a hand, as well as wrist circumference, were measured by measuring tape while handgrip strength and pinch strength was recorded by Jamar dynamometer & Jamar pinch gauge respectively. Obtained data were analyzed by applying the t-test SPSS version 27. We considered P-value <0.05 as statistically significant. Results: A higher statistically significant difference (<0.05) was found in hand anthropometric and biomechanical parameters amongst dominant hands of Indian male and female health care professionals. Conclusion: The present study was gender-based. All the anthropometric and biomechanical parameters were found to be of dimensions in males as compared to females. This study provides baseline anthropometric & biomechanical values of the Indian hand that will help manufacturers to redesign instruments to improve efficiency and prevent the risk of musculoskeletal disorders amongst health care professionals

    MicroRNAs: potential targets for developing stress-tolerant crops

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    Crop yield is challenged every year worldwide by changing climatic conditions. The forecasted climatic scenario urgently demands stress-tolerant crop varieties to feed the ever-increasing global population. Molecular breeding and genetic engineering approaches have been frequently exploited for developing crops with desired agronomic traits. Recently, microRNAs (miRNAs) have emerged as powerful molecules, which potentially serve as expression markers during stress conditions. The miRNAs are small non-coding endogenous RNAs, usually 20–24 nucleotides long, which mediate post-transcriptional gene silencing and fine-tune the regulation of many abiotic- and biotic-stress responsive genes in plants. The miRNAs usually function by specifically pairing with the target mRNAs, inducing their cleavage or repressing their translation. This review focuses on the exploration of the functional role of miRNAs in regulating plant responses to abiotic and biotic stresses. Moreover, a methodology is also discussed to mine stress-responsive miRNAs from the enormous amount of transcriptome data available in the public domain generated using next-generation sequencing (NGS). Considering the functional role of miRNAs in mediating stress responses, these molecules may be explored as novel targets for engineering stress-tolerant crop varieties

    Epigenetic differences in an identical genetic background modulate alternative splicing in A. thaliana

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    How stable and temperature-dependent variations in DNA methylation and nucleosome occupancy influence alternative splicing (AS) remains poorly understood in plants. To answer this, we generated transcriptome, whole-genome bisulfite, and MNase sequencing data for an epigenetic Recombinant Inbred Line (epiRIL) of A. thaliana at normal and cold temperature. For comparative analysis, the same data sets for the parental ecotype Columbia (Col-0) were also generated, whereas for DNA methylation, previously published high confidence methylation profiles of Col-0 were used. Significant epigenetic differences in an identical genetic background were observed between Col-0 and epiRIL lines under normal and cold temperatures. Our transcriptome data revealed that differential DNA methylation and nucleosome occupancy modulate expression levels of many genes and AS in response to cold. Collectively, DNA methylation and nucleosome levels exhibit characteristic patterns around intron-exon boundaries at normal and cold conditions, and any perturbation in them, in an identical genetic background is sufficient to modulate AS in Arabidopsis
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