Classification of underwater targets from autonomous underwater vehicle sampled bistatic acoustic scattered fields

One of the long term goals of autonomous underwater vehicle (AUV) minehunting is to have multiple inexpensive AUVs in a harbor autonomously classify hazards. Existing acoustic methods for target classification using AUV-based sensing, such as sidescan and synthetic aperture sonar, require an expensive payload on each outfitted vehicle and post-processing and/or image interpretation. A vehicle payload and machine learning classification methodology using bistatic angle dependence of target scattering amplitudes between a fixed acoustic source and target has been developed for onboard, fully autonomous classification with lower cost-per-vehicle. To achieve the high-quality, densely sampled three-dimensional (3D) bistatic scattering data required by this research, vehicle sampling behaviors and an acoustic payload for precision timed data acquisition with a 16 element nose array were demonstrated. 3D bistatic scattered field data were collected by an AUV around spherical and cylindrical targets insonified by a 7–9 kHz fixed source. The collected data were compared to simulated scattering models. Classification and confidence estimation were shown for the sphere versus cylinder case on the resulting real and simulated bistatic amplitude data. The final models were used for classification of simulated targets in real time in the LAMSS MOOS-IvP simulation package [M. Benjamin, H. Schmidt, P. Newman, and J. Leonard, J. Field Rob. 27, 834–875 (2010)]United States. Office of Naval Research (Grant N00014-14-1- 0214

Estimation of morphological and molecular genetic diversity in blackgram [Vigna mungo (L.) Hepper] under YMV hotspot regime

A phenotypic and molecular diversity study was conducted using seven traits and 19 SSR markers in a collection of 26 black gram genotypes. Phenotypic characterization was based on seven yield and yield related variable. The  field experiment  was  laid  out  at  Panboli village (YMV hotspot)  of Tirunelveli District in Tamilnadu during summer 2017. Genetic divergence was estimated on the basis of D2 values and 26 genotypes under study were grouped into six clusters by Tocher’s method. Seed yield per plant followed by Plant height and number of pods per plant contributed to the genetic divergence. The genetic distance announced using DICE dissimilarity co-efficient indicated highest divergence of 1.0 between VBN 8 and AUBG 17 and between VBN 8 and AUBG 19. The dendogram constructed using the DICE dissimilarity co-efficient between genotypes showed four apparent clusters based on marker allele distribution. Divergence was noted between the dissimilarity matrices based on the molecular and phenotypic diversity based on agronomic data.&nbsp

Perception and buying behaviour of consumers towards FPOs food products in Tamil Nadu

The present study was carried out to map the perception of consumers and to identify the factors influencing the consumer buying behaviour towards the food products of FPOs in Tamil Nadu. The results concluded that majority of the respondents purchased jaggery and sugar, cold pressed oil, snacks and millets category from the retail shops of FPOs. The quality and nutrient content were major product traits influencing consumers for purchasing the FPO food products. Most of the consumers felt that the quality and price of the food products were high in FPOs retail stores compared with other retail stores. So, FPOs should target high income people with high purchasing power who appreciate quality. Local people were purchasing the FPOs food products anytime. FPOs can devise effective marketing strategies to attract new customers from local and non-local customers. Most of the people have no awareness about FPOs retail outlets. Therefore, FPOs should pay attention in promoting their products and increasing the retail outlets for attracting the consumers and increasing the sales

Multinational characterization of neurological phenotypes in patients hospitalized with COVID-19

Neurological complications worsen outcomes in COVID-19. To define the prevalence of neurological conditions among hospitalized patients with a positive SARS-CoV-2 reverse transcription polymerase chain reaction test in geographically diverse multinational populations during early pandemic, we used electronic health records (EHR) from 338 participating hospitals across 6 countries and 3 continents (January–September 2020) for a cross-sectional analysis. We assessed the frequency of International Classification of Disease code of neurological conditions by countries, healthcare systems, time before and after admission for COVID-19 and COVID-19 severity. Among 35,177 hospitalized patients with SARS-CoV-2 infection, there was an increase in the proportion with disorders of consciousness (5.8%, 95% confidence interval [CI] 3.7–7.8%, pFDR < 0.001) and unspecified disorders of the brain (8.1%, 5.7–10.5%, pFDR < 0.001) when compared to the pre-admission proportion. During hospitalization, the relative risk of disorders of consciousness (22%, 19–25%), cerebrovascular diseases (24%, 13–35%), nontraumatic intracranial hemorrhage (34%, 20–50%), encephalitis and/or myelitis (37%, 17–60%) and myopathy (72%, 67–77%) were higher for patients with severe COVID-19 when compared to those who never experienced severe COVID-19. Leveraging a multinational network to capture standardized EHR data, we highlighted the increased prevalence of central and peripheral neurological phenotypes in patients hospitalized with COVID-19, particularly among those with severe disease

Multinational characterization of neurological phenotypes in patients hospitalized with COVID-19

Neurological complications worsen outcomes in COVID-19. To define the prevalence of neurological conditions among hospitalized patients with a positive SARS-CoV-2 reverse transcription polymerase chain reaction test in geographically diverse multinational populations during early pandemic, we used electronic health records (EHR) from 338 participating hospitals across 6 countries and 3 continents (January-September 2020) for a cross-sectional analysis. We assessed the frequency of International Classification of Disease code of neurological conditions by countries, healthcare systems, time before and after admission for COVID-19 and COVID-19 severity. Among 35,177 hospitalized patients with SARS-CoV-2 infection, there was an increase in the proportion with disorders of consciousness (5.8%, 95% confidence interval [CI] 3.7-7.8%, pFDR < 0.001) and unspecified disorders of the brain (8.1%, 5.7-10.5%, pFDR < 0.001) when compared to the pre-admission proportion. During hospitalization, the relative risk of disorders of consciousness (22%, 19-25%), cerebrovascular diseases (24%, 13-35%), nontraumatic intracranial hemorrhage (34%, 20-50%), encephalitis and/or myelitis (37%, 17-60%) and myopathy (72%, 67-77%) were higher for patients with severe COVID-19 when compared to those who never experienced severe COVID-19. Leveraging a multinational network to capture standardized EHR data, we highlighted the increased prevalence of central and peripheral neurological phenotypes in patients hospitalized with COVID-19, particularly among those with severe disease

Rain Resources and People’s livelihoods in Natrinai

Rain depends on nature. The ancient Tamil people of lived by using natural products. Trees, leaves, plants, vines, mountains, rivers and seas supported them. Water is the basis of the above-mentioned objects. Rain gives water. Lack of rain will be led to poverty so considering this, Valluvar also mentioned about rain in his songs. He says that rain is the most important thing for nature. Ancient people love nature and indulged in its beauty, splendor and beauty. Ancient Tamils are not sinners of nature. Mountain, sky, sea, fish, tree, plant, vine have been focused by Tamil people for some benefits. They developed the attitude of thinking about the ideas that arose in their hearts by listening to and saying the ideas times. Thus, the Tamil people have been given space to grow. So, sociologists have investigated the relationship between rain and human life with the data given in the ancient literature about rain. In this article, the data about the rain mentioned in the Natrinai songs has been presented and describe

Custard apple seed induced keratitis: a harmful traditional practice in South India

Custard apple seeds have been used as a traditional remedy for scalp infestation of lice and dandruff since many years in our part of the world. Not many people, doctors even, are aware about the ill effects of this practice. Surprisingly, there are very few reports on poisoning due to these seeds and the management is not very well streamlined. Rohit Shetty et al. highlighted the ill effects of the seeds and the need to avoid steroids in these cases as they worsen the clinical scenario.We present 2 patients who developed keratoconjunctivitis due to ocular exposure with custard apple seeds. However, we managed our cases slightly differently. We scraped off the loose epithelium and patched the eye for a day or two with topical antibiotics and lubricants. The patients responded very well. We highlight our series to describe an alternate way of treatment for cases with custard apple seed injury

Anti-inflammatory studies on Acalypha indica L. leaves by membrane stabilization

The study was designed to evaluate the phytochemical screening and anti-inflammatory activity of methanolic extract of Acalypha indica L.leaves in HRBC membrane stabilization. The methanolic extract showed significant inhibition by using Diclofenac sodium as a standard drug at doses of 125, 250, 500 and 1000mg/mL and showed a dose dependent inhibition hemolysis of erythrocyte induced by hypotonic solution