Novel Stepped Impedance Microstrip Bandpass Filters for Radar Applications

In this paper, the design and realization of A Novel Microstrip Stepped Impedance Resonator Bandpass Filters with two selected center frequencies (f0) 12GHz and 16GHz presented. For The design of Band pass Filters “Rogers 6035HTC" substrate material with relative dielectric constant of 3.55, Standard thickness of 0.020” (0.508mm), thickness of pec is 0.035mm and simulated on High Frequency System Simulator (HFSS). Both the designed filters performances are discussed and compared with literature. The designed Stepped Impedance microstrip BPFs have insertion loss of <1dB with the optimal average performance of 37% and 32% FBW, and return losses are 47 dB and 32dB, which is reported better when compared with the reference designs

A Survey: Security Challenges of Vanet And Their Current Solution

Vehicles have a very crucial role in our routine life; we use different kinds of transportation in our living world, massive increasing vehicle on the road insisting serious problem such as traffic jam, vehicle congestion, road accidents, the demand for more fuel etc., to subdue the all those problems, the technology has used which is called VANET (Vehicular ad-hoc networks) VANET is self-organized wireless network when it has demanded to make communication between vehicles to vehicles and vehicles to infrastructure. VANET successfully implements the intelligent transportation system (ITS), even the vehicles having short-range networks. Due to the rapid change of network topology, the VANET installation is challengeable on the vehicles. To give a safe drive and reduce car accidents, the communication among drivers of vehicles and roadside devices makes sure that should be authenticated; any wrong modification (or) correction in real-time communication may create system failure and affect road safety. This article provides a brief description of various challenging issues in VANET and presents some existing solutions for these problems. Later, we discussed the current status of research and future goals. With this article, researchers and academicians can have a more detailed VANET and research trends in this emerging field

Food Patterns in Tamilmagan Novels

“Food is medicine; Medicine is Food”The food system that prevailed among our Tamils ​​who were living like this has been processed and prepared since ancient times. We will discuss these news and diets in detail in this article. A balanced diet is the key to a disease-free life. It is said that if you eat good food and eat good food, you will eliminate the food that is bad for the body and eat food that is good for the body and mind, not only the body will not get sick.  It means that survival without food is rare; "You who gave the ransom, you who gave life,The pindham of food before the bill” – (puṟanāṉuṟu) We can see what has been explained. The purpose of this article is to study the ancient Tamil food systems and their processing methods based on literature and data with the help of Tamil Man novels

Alzheimer Disease Detection of 3D-CNN with SE-Net Model using SVM Classifier

Alzheimer disease is a fatal progressive neurological brain disorder. Earlier detection of Alzheimer's disease can help with proper treatment and prevent brain tissue damage. In this work we proposed two methods. First, proposed connected median filter using PSO feature extraction from MRI images and Analysis of Alzheimer’s diseases state by using 3D-CNN based SE-Net. In the first phase, the algorithm first normalizes and removes skull from the MRI images. Connected median filter using Particle Swarm Optimization algorithm is used to partition the image into white matter (WM), grey matter (GM) and black holes (BH). The relevant diagnostic features are extracted from the segmented image component. The classifier is trained by the training data to predict the test data. The features are defined to construct classification model by using Support Vector Machine with Squeeze- Excitation block. Here, database contains total of 1000 images which are resized into 350 × 350 without loss of information. Deep Learning demands large number of images and its strength was increased as per requirement by augmentation technique. In the first phase of the method takes 1000 images of different features are selected to train SVM classifier and the accuracy obtained is 98.37%  and contribution of this work is classification of images into categories such as Alzheimer (AD) and normal. First phase of work emphasized program specific applications to extract features.  In the second phase the CNN multiple layers which are studied from lower level to the higher-level image characteristics

GRFS and CRFS in alternative donor hematopoietic cell transplantation for pediatric patients with acute leukemia.

We report graft-versus-host disease (GVHD)-free relapse-free survival (GRFS) (a composite end point of survival without grade III-IV acute GVHD [aGVHD], systemic therapy-requiring chronic GVHD [cGVHD], or relapse) and cGVHD-free relapse-free survival (CRFS) among pediatric patients with acute leukemia (n = 1613) who underwent transplantation with 1 antigen-mismatched (7/8) bone marrow (BM; n = 172) or umbilical cord blood (UCB; n = 1441). Multivariate analysis was performed using Cox proportional hazards models. To account for multiple testing, P \u3c .01 for the donor/graft variable was considered statistically significant. Clinical characteristics were similar between UCB and 7/8 BM recipients, because most had acute lymphoblastic leukemia (62%), 64% received total body irradiation-based conditioning, and 60% received anti-thymocyte globulin or alemtuzumab. Methotrexate-based GVHD prophylaxis was more common with 7/8 BM (79%) than with UCB (15%), in which mycophenolate mofetil was commonly used. The univariate estimates of GRFS and CRFS were 22% (95% confidence interval [CI], 16-29) and 27% (95% CI, 20-34), respectively, with 7/8 BM and 33% (95% CI, 31-36) and 38% (95% CI, 35-40), respectively, with UCB (P \u3c .001). In multivariate analysis, 7/8 BM vs UCB had similar GRFS (hazard ratio [HR], 1.12; 95% CI, 0.87-1.45; P = .39), CRFS (HR, 1.06; 95% CI, 0.82-1.38; P = .66), overall survival (HR, 1.07; 95% CI, 0.80-1.44; P = .66), and relapse (HR, 1.44; 95% CI, 1.03-2.02; P = .03). However, the 7/8 BM group had a significantly higher risk for grade III-IV aGVHD (HR, 1.70; 95% CI, 1.16-2.48; P = .006) compared with the UCB group. UCB and 7/8 BM groups had similar outcomes, as measured by GRFS and CRFS. However, given the higher risk for grade III-IV aGVHD, UCB might be preferred for patients lacking matched donors. © 2019 American Society of Hematology. All rights reserved

Case series of Foley’s induction in patients with previous caesarean

Background: The objective of this study was to study the efficacy of intracervical Foley’s catheter induction in women with previous history of caesarean section and to evaluate the maternal and fetal outcome of these pregnancies.Methods: It is a prospective analysis of 30 patients whose labour was induced by intracervical Foley’s bulb for VBAC delivery. This study was conducted in KIMS, Hubli. Age, parity, indication of previous caesarean, inter-pregnancy interval and outcome of index pregnancy were studied in detail and analysed.Results: 30 women with previous history of caesarean were included into the study. Various indications of induction during index pregnancies were- post-datism, IUGR, intra-uterine foetal demise and severe pre-eclampsia and eclampsia. Out of 30 women, 18 (60%) had successful VBAC delivery, 12 (40%) underwent repeat LSCS. 19 cases needed augmentation of labour. Indications for caesarean section were failed induction in 5 (16.6%) women, threatened scar rupture in 3 (10%), non-progress of labour in 2 (6.6%) and meconium stained amniotic fluid in 2 (6.6%). No cases of uterine rupture or maternal mortality was noted in the study.Conclusions: In our study the rate of vaginal birth was 60% without major maternal complications. Hence intracervical Foley’s catheter is an effective, safe and acceptable for labour induction in women with previous caesarean

INFLUENCE OF DIGITALIZATION ON EMPLOYEE PERFORMANCE IN AUTOMOBILE INDUSTRY

Digitalization is an important aspect of the visionary development of companies in general environment. Digitalization enables organizations to provide better services to customers while providing new opportunities for value creation. The research attempts to identify the influence of digitalization on employee performance in automobile industry. The data has been collected from 132 employees of automobile industry in Chennai. Hence, it is concluded that analysis found that the digitalization (Digital HRM and digital workplace) significantly influences employee performance and employee performance among the employees in automobile industry. The analysis revealed that the employee retention significantly influences employee performance among the employees in automobile industry. Automobile industry management should provide necessary management support to promote digitalization, employee development and recognition and rewards to foster employee retention with the organization

ISOLATION AND SCREENING OF ANTIBIOTIC PRODUCING ACTINOMYCETES FROM GARDEN SOIL OF SATHYABAMA UNIVERSITY, CHENNAI

Objectives: To isolate and screen Actinomycetes with anti bacterial and antifungal activity from garden soil samples of Sathyabama University, Chennai.Methods: Six soil samples were collected, serially diluted and plated on starch casein agar supplemented with nalidixic acid and cyclohexamide for inhibition of bacteria and fungi, respectively. Primary screening of actinomycetes isolates was done by following cross streak method against test organisms. Submerged fermentation was followed for the production of crude antibiotics. Agar well diffusion method was done to determine the antimicrobial activity of the crude extract. The MIC also quantified for the crude extract by microtiter plate assay. The promising isolate was characterized by conventional methods.Results: On primary screening 13 out of 22 actinomycete isolates (59%) showed potential antimicrobial activity against one or more test bacteria and/or fungus.  The isolate BN8 shows antagonistic activity against all the tested bacteria and fungi, isolates BN5 and BN16 were active against only bacteria not fungi, and Isolate BN2 was active against all tested fungi. The zone of inhibition was measured by using the crude extracts of all the four isolates. The crude extract produced by isolate BN8 showed zone on inhibition against all the tested bacterium in 100 µg/ml against Pseudomonas aeroginosa (22mm), Klebsiella pneumonia (25mm), Bacillus cereus (20mm), Staphylococcus aureus (22mm),  Escherichia coli (15mm),  Aspergillus flavus (14mm),  Aspergillus niger (20mm),   Aspergillus fumicatus (10mm) respectively. The crude extracts of isolates BN2, BN5, BN16 were not exhibited any zone of inhibition against the test microbes on agar well diffusion assay. The MIC of crude extract against Pseudomonas aeroginosa (50 μg/ml), Staphylococcus aureus(25 μg/ml), Klebsiella pneumonia (25 μg/ml) and Bacillus cereus(25 μg/ml) . The MIC value of the crude extract against the bacterium Escherichia coli was 12.5 μg/ml. The MIC of 12.5 μg/ml was observed in the crude extract against Aspergillus flavus, 25 μg/ml against Aspergillus niger, and 50 μg/ml against Aspergillus fumicatus respectively.Conclusion: This groundwork concluded that the soil samples of Sathyabama University have actinomycetes with metabolites inhibits bacterial and fungal pathogens. One of the promising isolate was identified which active against the test bacteria and fungi. The crude metabolite exhibits very large zone of inhibition when compared to the control antibiotic. The type of antimicrobial agents produced by the isolate and the phylogenic relationship of the isolate has to be investigated as well

Testing on weak form efficiency & Volatility of FMCG sector: The evidence from National stock exchange

No Abstrac