Performance assessment of wheat genotypes based on the superiority index using additive main and multiplicative interaction effects and BLUP analysis

The simultaneous use of additive main and multiplicative interaction effects (AMMI) and best linear unbiased predictors (BLUP) has been reflected in the multi-location evaluation of trials for number of crops. The additional advantages of both these approaches would be combined in superiority index (SI) to have an edge over the commonly used approaches. The promising wheat genotypes had been considered under multi location trails in Peninsular zone of India during the cropping seasons of 2018-2019 and 2019-2020. The highly significant environmental effects contributed 44.1% & 35.3% of total sum of squares in the AMMI analysis, 20.6% & 26.2% were augmented by G × E interaction, while 10.8% & 7.5% were contributed by the genotypes.Wheat genotypes of UAS3001, MACS6222, GW322, and DDW48 expressed their superiority in BLUP values. Superiority indexes and adaptability measures had identified WHD964 and DDW48 genotypes for the second year of study. More than 75% variations among the considered measures were due to the first two interaction principal components (IPCA’s) under Biplot analysis. Number of superiority index measures were clustered with adaptability measures in the same quadrant. Superiority index, the weighted measure of yield and consistent performance of genotypes would be more appropriate for stability and adaptabilities studies

The Role of Professional Development on Job Satisfaction of the LIS Professionals

Professional development (PD) implies the overall and systematic development of employees. It is a method to procure current knowledge and skills. In this digital environment, it becomes more crucial that LIS professionals should be professionally developed. Professional development is one of the elements which affects job satisfaction of employees. It is imperative for LIS professionals as it increases their level of satisfaction and improves their performance. LIS professionals must participate in professional development activities that have a positive impact on job satisfaction. Professionally developed and satisfied LIS professionals can deliver better service to their users

A contemporary investigation of force transducers: Past and present scenario

In this paper, retrospective investigation of different types of force transducers, used in different applications (metrological, industrial, scientific etc.) for force measurement, has been done. The paper discusses the complete classification of force transducers based on shape, display and applications. Various types of force transducer have been discussed in the paper including symmetrical, unsymmetrical and alteration types. An attempt has been made to provide a comprehensive investigation related to metrological aspects of force transducer

Exploiting Multilingualism in Low-resource Neural Machine Translation via Adversarial Learning

Generative Adversarial Networks (GAN) offer a promising approach for Neural Machine Translation (NMT). However, feeding multiple morphologically languages into a single model during training reduces the NMT's performance. In GAN, similar to bilingual models, multilingual NMT only considers one reference translation for each sentence during model training. This single reference translation limits the GAN model from learning sufficient information about the source sentence representation. Thus, in this article, we propose Denoising Adversarial Auto-encoder-based Sentence Interpolation (DAASI) approach to perform sentence interpolation by learning the intermediate latent representation of the source and target sentences of multilingual language pairs. Apart from latent representation, we also use the Wasserstein-GAN approach for the multilingual NMT model by incorporating the model generated sentences of multiple languages for reward computation. This computed reward optimizes the performance of the GAN-based multilingual model in an effective manner. We demonstrate the experiments on low-resource language pairs and find that our approach outperforms the existing state-of-the-art approaches for multilingual NMT with a performance gain of up to 4 BLEU points. Moreover, we use our trained model on zero-shot language pairs under an unsupervised scenario and show the robustness of the proposed approach.Comment: 10 pages, 4 figure

Detection of mullerian duct anomalies: diagnostic utility of two dimensional ultrasonography as compared to magnetic resonance imaging

Background: Mullerian duct anomalies (MDAs) are a fascinating group of disorders that have varied clinical presentation from being asymptomatic to primary amenorrhea to inability to reproduce. Correct diagnosis of the condition plays a crucial role in management. Imaging plays a pivotal role in making correct diagnosis. This study aims to find the prevalence of MDAs amongst study population and their relation with infertility and also compares diagnostic utility of pelvic ultrasound with MRI.Methods: A randomized diagnostic test evaluation study was conducted in the Department of Radiodiagnosis and Imaging of a tertiary care teaching hospital over a period of 2 years. The patient first underwent pelvic 2D USG in multiple planes using curvilinear probe of 3MHz to 5 MHz. frequency and then MRI.Results: Most common MDA in total study sample and in primary infertility group is arcuate uterus while in recurrent abortions group it is unicornuate uterus. Out of total study sample of 75 patients 2D USG detected 18 cases of MDA while MRI detected 22 cases of MDA. So, 2D USG failed to detect 04 cases of MDA in total study population bringing overall sensitivity of 2D USG as 81.8%, specificity of 100%, PPV of 100%, NPV of 93.4% and accuracy of 94.6%.Conclusions: 2D USG has a few limitations but in view of relatively simple imaging procedure, ease of availability and cost effectiveness it should be utilized as an initial imaging modality in patients with suspicion of MDAs

Influence of welding parameters on mechanical property during friction stir welded joint on aluminium alloys: a review

The friction stir welding (FSW) is widely used in the fabrication of Aluminium alloy and other non-ferrous alloy. It has good potential to be used in major industries such as automobiles, aerospace, shipbuilding and can be used in the joining of high strength alloys. The FSW process low distortion and heat affected zone (HAZ) with fine recrystallized microstructure which leads to better mechanical properties at the weld zone and produces great stability. In this study, the different FSW parameters such as weld speed, tool rotation speed, tool tilt angle, feed per min has been discussed. The different types of tool pin profile and shoulder have also been discussed and their impacts on mechanical and microstructural properties at welded joints. Among various welding parameters the rotational speed is the most influencing parameter in FSW. Increasing the rotational speed exhibits the increase at tensile strength and is supposed to improve the mechanical properties. The most affected tool pin profile would be considered to be tapered threaded cylindrical pin profile which makes the adequate mixing of material with better flow ability and provide the fine grains at nugget zone. Comparing the FSW with other arc welding processes, it shows a wide range of environmental benefits which are noticeable such as saving in consumable materials, decrease in consumption of filler material and reduction in grinding wastes. Harmful emissions created from arc welding causes a health hazard to the welder. For achieving the high joint-strength for aerospace aluminium alloys and high temperature sustainable metallic alloys, friction stir welding will be preferred

Racial Disparities in the Genetic Landscape of Lung Cancer

Lung cancer has the highest cancer-related mortality worldwide and in the United States. Reduced tobacco consumption and advancement in therapies have led to a modest decline in lung cancer death rates over the past two decades; the overall survival rate is still disappointing.  Moreover, race-associated disparities are also observed, especially in the clinical outcomes. While differences in socioeconomic status and lifestyle could be significant contributing factors, differences in the genetic landscape of lung cancer among different racial groups have also been reported.  In this review, we shed light on the genetic heterogeneity of lung cancer and race-associated differences in genetic alterations to build a framework for future studies to understand the biological basis of lung cancer disparities

Biological Activity of Purified Momardica Charantia Lectin

Abstract: Momardica Charantia L. Var. Jhalri (MCJ) is the member of lectins from family Cucurbitaceae. Haemagglutination of purified MCJ lectin was carried out by titration assay with human and animals viz. rabbit, sheep, goat, pig, buffalo and dog erythrocytes. The lectin showed positive haemagglutination test for trypsin treated and non-treated erythrocytes of human blood group 'O' and rabbit both. Trypsin treated erythrocytes of human blood group 'O' showed the enhanced agglutination while that of rabbit, reduced agglutination. The haemagglutination units(HUs) for untreated and trypsin treated erythrocytes in case of human blood group 'O' were found to be 0.043 μg/mL and 0.0107 μg/mL while in case of rabbit erythrocytes these were 0.0215 μg/mL and 0.175 μg/mL respectively