Classification of Targets Using Statistical Features from Range FFT of mmWave FMCW Radars

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Genomic plasticity associated with antimicrobial resistance in Vibrio cholerae.

The Bay of Bengal is known as the epicenter for seeding several devastating cholera outbreaks across the globe. Vibrio cholerae, the etiological agent of cholera, has extraordinary competency to acquire exogenous DNA by horizontal gene transfer (HGT) and adapt them into its genome for structuring metabolic processes, developing drug resistance, and colonizing the human intestine. Antimicrobial resistance (AMR) in V. cholerae has become a global concern. However, little is known about the identity of the resistance traits, source of AMR genes, acquisition process, and stability of the genetic elements linked with resistance genes in V. cholerae Here we present details of AMR profiles of 443 V. cholerae strains isolated from the stool samples of diarrheal patients from two regions of India. We sequenced the whole genome of multidrug-resistant (MDR) and extensively drug-resistant (XDR) V. cholerae to identify AMR genes and genomic elements that harbor the resistance traits. Our genomic findings were further confirmed by proteome analysis. We also engineered the genome of V. cholerae to monitor the importance of the autonomously replicating plasmid and core genome in the resistance profile. Our findings provided insights into the genomes of recent cholera isolates and identified several acquired traits including plasmids, transposons, integrative conjugative elements (ICEs), pathogenicity islands (PIs), prophages, and gene cassettes that confer fitness to the pathogen. The knowledge generated from this study would help in better understanding of V. cholerae evolution and management of cholera disease by providing clinical guidance on preferred treatment regimens.DBT Indi

How leadership style creates an impact on job satisfaction level of employees in an organization

In this study, we tried to show how a good leader positively impacts employees, which leads to job satisfaction while working in an organization/business. Under this study, we are trying to examine the meaning and importance of Leadership towards job satisfaction of employees, how good leadership help in helping their employees, and they feel satisfied with their current working job. This study is based on two leadership styles: Responsible Leadership Style and Ethical leadership Style. A reliable leadership style shows a relationship between the leaders and their stakeholders; under this style, a leader must analyze stakeholders' needs and wants. Ethical leadership style is when a leader has to do their moral duties and work with honesty; under this style, the leader tries to make fair decisions in the organization and make a positive environment for employees. Based on this study, we are wanted to highlight how a leader is essential for every organization. If there is a good leader in the organization, employees can feel comfortable to share their views and problems related to their job

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Not AvailableMadhya Pradesh, centrally located state in India, is famous for rich diversity of fishes. Variousrivers flow in state but river Narmada originating from Amarkantak Hill (Madhya Pradesh) is referredas “Life line of Madhya Pradesh”. This river is the natural abode of wide variety of fish diversity.Tor tor (the deep-bodied mahseer), locally known as “Badas” is one of the largest freshwater cyprinidand a native of river Narmada. This fish is famous for its fighting character during angling and becauseof its exclusive good taste, it is ranked on the top of all commercial catches of river Narmada.T. tor is a potential candidate for the development of open water fishery as well as aquaculture. Recently,due to wide-spread anthropogenic activities, the natural population of T. tor is getting depletedrapidly in river Narmada and has been declared as Near-Threatened (IUCN, 2015). Hence, there is anurgent need for further research and species diversity study for conservation of mahseer. This studyreviews information on mahseer species with special emphasis on T. tor of river Narmada. Disciplinesthat are covered in this study ranges from the taxonomy and systematic to its biological, reproductiveand conservation aspects. More studies are suggested on different aspects of domestication,propagation using hypophysation technique and rearing on formulated diet for conservation of thisprized fishNot Availabl

A Novel Angle Estimation for mmWave FMCW Radars Using Machine Learning

In this article, we present a novel machine learning based angle estimation and field of view (FoV) enhancement techniques for mmWave FMCW radars operating in the frequency range of 77 - 81 GHz. Field of view is enhanced in both azimuth and elevation. The Elevation FoV enhancement is achieved by keeping the orientation of antenna elements in elevation. In this orientation, radar focuses the beam in vertical direction there by enhancing the elevation FoV. An Azimuth FoV enhancement is achieved by mechanically rotating the radar horizontally, which has antenna elements in the elevation. With the proposed angle estimation technique for such rotating radars, root mean square error (RMSE) of 2.56 degrees is achieved. These proposed techniques will be highly useful for several applications in cost-effective and reliable autonomous systems such as ground station traffic monitoring and control systems for both on ground and aerial vehicles

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Not Availablestudy was conducted to observe the breeding and larval rearing of Asian Catfish, Clarias batrachus fed with live and/or artificial feed for 21 days in an indoor hatchery. The brooders of C. batrachus (Av. wt of female 160 ± 10.5 g; Av. wt of male 120 ± 6.75 g) were procured from outside ponds and stocked in a pond near the experiment site 2-months prior to spawning. The fishes were successfully induced bred using ovaprim @ 1.0–2.0 ml/kg body weight (bw) to females and 0.5–1.0 ml/kg bw to males. Fertilization, hatching and survival percentages at spawn stage were respectively recorded 70.6 - 72.8, 60.7 - 55.3 and 54.3 - 56.2. After yolk-sac absorption, fry of three age groups 7, 14 and 21 days were subjected to feed trial using Artemia nauplii followed by laboratory made feed for 21 days. Weekly sampling indicated that higher age groups constantly maintained higher lengths and weights with highest survival in the age group of 14-days old fry and SGR in 7-days old. The quality of hatchery water was recorded for temperature 29 ± 1°C, pH 7.2 ± 0.2, DO 7.1 ± 0.3 mgL-1 and total alkalinity 132 ± 4.0 mgL-1 respectively.Uttar Pradesh Council for Science and Technology, Lucknow, UP, Indi

Classification of Targets Using Statistical Features from Range FFT of mmWave FMCW Radars

Radars with mmWave frequency modulated continuous wave (FMCW) technology accurately estimate the range and velocity of targets in their field of view (FoV). The targeted angle of arrival (AoA) estimation can be improved by increasing receiving antennas or by using multiple-input multiple-output (MIMO). However, obtaining target features such as target type remains challenging. In this paper, we present a novel target classification method based on machine learning and features extracted from a range fast Fourier transform (FFT) profile by using mmWave FMCW radars operating in the frequency range of 77–81 GHz. The measurements are carried out in a variety of realistic situations, including pedestrian, automotive, and unmanned aerial vehicle (UAV) (also known as drone). Peak, width, area, variance, and range are collected from range FFT profile peaks and fed into a machine learning model. In order to evaluate the performance, various light weight classification machine learning models such as logistic regression, Naive Bayes, support vector machine (SVM), and lightweight gradient boosting machine (GBM) are used. We demonstrate our findings by using outdoor measurements and achieve a classification accuracy of 95.6% by using LightGBM. The proposed method will be extremely useful in a wide range of applications, including cost-effective and dependable ground station traffic management and control systems for autonomous operations, and advanced driver-assistance systems (ADAS). The presented classification technique extends the potential of mmWave FMCW radar beyond the detection of range, velocity, and AoA to classification. mmWave FMCW radars will be more robust in computer vision, visual perception, and fully autonomous ground control and traffic management cyber-physical systems as a result of the added new feature