16S rRNA gene taxonomic profiling of endophytic bacteria associated with phylaenopsis roots

Orchids are one of the main groups of ornamental plants commercially exploited. In the present study, we analyzed the diversity of bacterial community in Phalaenopsis root using metagenomic approach. The diversity of bacterial taxonomic category was assessed at different Operational Taxonomic Unit (OTU) levels using Ribosomal Database Project (RDP) pipeline and MG-RAST. At phylum level, Proteobacteria (61.34%) was the most dominant group followed by unclassified derived from bacteria (24.74%) and Actinobacteria (12.52%). Genus level analysis revealed the abundance of Rubrobacter, Pseudomonas and Acinetobacter. The study revealed that of the total species detected 50.83 per cent were unclassified, stressing the importance of metagenomics to assess the diversity of endophytes associated with orchid roots

A Machine learning Classification approach for detection of Covid 19 using CT images

Coronavirus disease 2019 popularly known as COVID 19 was first found in Wuhan, China in December 2019. World Health Organization declared Covid 19 as a transmission disease. The symptoms were cough, loss of taste, fever, tiredness, respiratory problem. These symptoms were likely to show within 11 –14 days. The RT-PCR and rapid antigen biochemical tests were done for the detection of COVID 19. In addition to biochemical tests, X-Ray and Computed Tomography (CT) images are used for the minute details of the severity of the disease. To enhance efficiency and accuracy of analysis/detection of COVID images and to reduce of doctors' time for analysis could be addressed through Artificial Intelligence. The dataset from Kaggle was utilized to analyze. The statistical and GLCM features were extracted from CT images for the classification of COVID and NON-COVID instances in this study. CT images were used to extract statistical and GLCM features for categorization. In the proposed/prototype model, we achieved the classification accuracy of 91%, and 94.5% using SVM and Random Forest respectively

Sonographic Evaluation of Normal Fetal Adrenal Gland Size in Second and Third Trimester

Background: This study was conducted to delineate a standard nomogram for fetal adrenal gland dimensions in an Indian cohort and to examine the relationship between fetal adrenal gland and kidney lengths. Methods: Prior to the commencement of the study, approval was sought from the ethical committee, and informed consent was acquired from 123 expectant mothers attending the VIMS & RC's Radio-diagnosis department between 18 and 37 weeks of gestation. These participants underwent ultrasonography using a curvilinear transducer 2-6 MHz on a Philips Affiniti 50G machine. Sagittal and coronal views were used to record the maximum dimensions of both adrenal glands. Thereby, a reference range for the adrenal gland size during the second and third trimesters was deduced. Results: During 18-24 weeks, measurements for the right adrenal gland were: medial limb (1.01 * 0.51), body (0.16 * 0.35), lateral limb (1.02 * 0.51), with a concurrent kidney size of 19.16± 1.95 mm. For the left adrenal gland: medial limb (1.01 * 0.49), body (0.16 * 0.34), lateral limb (1.01 * 0.5), and kidney size 19.8± 1.52 mm.For 25-30 weeks, right adrenal gland measurements were: medial limb (1.08 * 0.5cm), body (1.34 * 0.65cm), lateral limb (1.79 * 0.8cm), with kidney size being 25.83± 1.64 mm. The left adrenal gland revealed medial limb (1.08 * 0.81cm), body (1.34 * 0.65cm), lateral limb (1.8 * 0.8cm), and kidney size at 26.07± 1.46 mm.From 31-35 weeks, the right adrenal gland dimensions were: medial limb (2.34 * 1.13cm), body (1.75 * 0.85cm), lateral limb (2.29 * 1.1cm), and kidney size at 31.57± 0.67 mm. The left adrenal gland showed medial limb (2.3 * 1.04cm), body (1.8 * 0.86cm), lateral limb (2.34 * 1.19cm), and kidney size at 32.03± 2.45 mm. Lastly, between 36-40 weeks, the right adrenal gland measurements were: medial limb (2.61 * 1.31cm), body (2.32 * 1.06cm), lateral limb (2.58 * 1.27cm), and kidney size was 35.36± 1.61 mm. The left adrenal gland had medial limb (2.6 * 1.3cm), body (2.33 * 1.07cm), lateral limb (2.6 * 1.32cm), with a kidney size of 35.33± 1.51 mm. Conclusion: he study, a cross-sectional analysis conducted in the Radio-diagnosis department at Vydehi Institute of Medical Sciences and Research Centre, Bangalore, successfully established a standard nomogram for fetal adrenal gland dimensions in an Indian cohort during the second and third trimesters. Additionally, the established fetal renal to adrenal ratio validated and enriched the derived data

Awareness of Mobile Phone Radiation and Its Potential Health Hazards Among Students and Working-class Population During the COVID-19 Pandemic: A Cross-sectional Survey

COVID-19 pandemic has caused an increased dependence on mobile phones by students and working professionals. Mobile phones are indispensable gadgets with a wide range of applications. However, there are potential risks associated with its usage in terms of radiofrequency radiation. The objective of this study was to evaluate the knowledge of radiation and its biological adverse effects caused due to the usage of mobile phones among students and working professionals. An online awareness survey was conducted during the COVID-19 pandemic among 351 participants using Google forms. The questionnaire was disseminated to the WhatsApp groups of students and working professionals and the data was statistically analysed. Among the 351 subjects, 72% of the respondents used their mobile phones for more than 4 hours per day. However, less than 20% were fully aware of mobile phone radiation being listed in the possible carcinogen list by the World Health Organization (WHO). In addition, only half of the respondents considered the Specific Absorption Rate (SAR) value and information on radiation emission while purchasing a new phone. To conclude, the need for awareness of potential hazards associated with the mobile phone radiation seems crucial, especially during this time when everyone in the world and especially school and college students are highly dependent on mobile phones

Awareness of Mobile Phone Radiation and Its Potential Health Hazards Among Students and Working-class Population During the COVID-19 Pandemic: A Cross-sectional Survey

COVID-19 pandemic has caused an increased dependence on mobile phones by students and working professionals. Mobile phones are indispensable gadgets with a wide range of applications. However, there are potential risks associated with its usage in terms of radiofrequency radiation. The objective of this study was to evaluate the knowledge of radiation and its biological adverse effects caused due to the usage of mobile phones among students and working professionals. An online awareness survey was conducted during the COVID-19 pandemic among 351 participants using Google forms. The questionnaire was disseminated to the WhatsApp groups of students and working professionals and the data was statistically analysed. Among the 351 subjects, 72% of the respondents used their mobile phones for more than 4 hours per day. However, less than 20% were fully aware of mobile phone radiation being listed in the possible carcinogen list by the World Health Organization (WHO). In addition, only half of the respondents considered the Specific Absorption Rate (SAR) value and information on radiation emission while purchasing a new phone. To conclude, the need for awareness of potential hazards associated with the mobile phone radiation seems crucial, especially during this time when everyone in the world and especially school and college students are highly dependent on mobile phones

Awareness of Mobile Phone Radiation and Its Potential Health Hazards Among Students and Working-class Population During the COVID-19 Pandemic: A Cross-sectional Survey

COVID-19 pandemic has caused an increased dependence on mobile phones by students and working professionals. Mobile phones are indispensable gadgets with a wide range of applications. However, there are potential risks associated with its usage in terms of radiofrequency radiation. The objective of this study was to evaluate the knowledge of radiation and its biological adverse effects caused due to the usage of mobile phones among students and working professionals. An online awareness survey was conducted during the COVID-19 pandemic among 351 participants using Google forms. The questionnaire was disseminated to the WhatsApp groups of students and working professionals and the data was statistically analysed. Among the 351 subjects, 72% of the respondents used their mobile phones for more than 4 hours per day. However, less than 20% were fully aware of mobile phone radiation being listed in the possible carcinogen list by the World Health Organization (WHO). In addition, only half of the respondents considered the Specific Absorption Rate (SAR) value and information on radiation emission while purchasing a new phone. To conclude, the need for awareness of potential hazards associated with the mobile phone radiation seems crucial, especially during this time when everyone in the world and especially school and college students are highly dependent on mobile phones

Nature Chem

Numerous essential biomolecular processes require the recognition of DNA surface features by proteins. Molecules mimicking these features could potentially act as decoys and interfere with pharmacologically or therapeutically relevant protein-DNA interactions. Although naturally occurring DNA-mimicking proteins have been described, synthetic tunable molecules that mimic the charge surface of double-stranded DNA are not known. Here, we report the design, synthesis and structural characterization of aromatic oligoamides that fold into single helical conformations and display a double helical array of negatively charged residues in positions that match the phosphate moieties in B-DNA. These molecules were able to inhibit several enzymes possessing non-sequence-selective DNA-binding properties, including topoisomerase 1 and HIV-1 integrase, presumably through specific foldamer-protein interactions, whereas sequence-selective enzymes were not inhibited. Such modular and synthetically accessible DNA mimics provide a versatile platform to design novel inhibitors of protein-DNA interactions