Economic Analysis of Impact Assessment of Production Technology of Paddy Cultivation in Nasik Region of Maharashtra in India

The study had assessed the impact assessment of production technology of paddy cultivation in Nasik region of Maharashtra for the year 2016-17, based on the data of costs and returns. Analytical techniques like benefit-cost ratio (BCR), technology adoption index, yield gap, were exercised to have the extent of economic impact of improved paddy technology. High adopter group earned the net profit of ` 2298.09/ha (BCR=1.32) compared to ` 3629.3/ha ( BCR= 1.06) for low adopter group. Average technology adoption index was 71.57 per cent indicating that the farmers adopting recommended production technology of paddy could get yield of 41.63q/ha. Factor share analysis showed that contribution of Char-sutri method to the total yield was the highest yield (i.e. 32.84 per cent) which was followed by urea (19.76 per cent), doses of manures (12.02 per cent), intercultural operation, planting distance, transplanting time contributes about 8.09 per cent etc. respectively. Estimates of yield gap analysis proved existence of yield gap in all level which ranged from 41 percent (low adopter) to 23 percent (high adopter). So, reduction or bridging up the yield gap may be utmost priority to increase the overall production and income of the farmers

Diversity of Bivalve and Gastropod Molluscs in Mangrove ecosystem from selected sites of Raigad district, Maharashtra, West coast of India.

Diversity of Bivalve and Gastropod Molluscs from mangrove habitat was studied. 37% bivalves while 63% gastropods were recorded during October 2008 to September 2009. The numbers of molluscs was comprised of bivalve species namely Crassostrea cattuckensis, Saccostrea cucullata, Anadara granosa, Polymesoda maxima, Meretrix meretrix, and gastropods Cerithium cingulata,Telescopium telescopium, Littorina scabra Nodilittorina melanostoma were abundant. These localities has productive molluscan fauna so a wide chance of research to further explore on the possibility of ecological value and there conservation

Diversity of Bivalve and Gastropod, Molluscs of some localities from Raigad district, Maharashtra, west coast of India.

Diversity of bivalve and gastropod molluscs from mangrove habitat, rocky substrata, sandy beach, and muddy habitat was studied. 22% bivalves while 78% gastropods were recorded during October 2010 to September 2011. The numbers of molluscs was comprised of bivalve species namely Crassostrea cattuckensis, Saccostrea cucullata, Anadara granosa, Meretrix meretrix, and gastropods Planaxis sulcatus, Littorina scabra, Dostia violacea,  Cerithium cingulata,Telescopium telescopium, Nodilittorina melanostoma and Casidula nucleus  were dominant, The productive molluscan fauna in prevalence of different habitats so a wide chance of research to further explore on the possibility of ecological value and  there conservation

MUTUAL COUPLING EFFECT ON MIMO ANTENNA

To reduce mutual coupling effect on MIMO Antenna this paper presents the analysis of bent ground plane antennas for multiple-input-multiple-output (MIMO). First, the three plate antenna array patterns of the envelope correlation coefficients are proposed to evaluate the diversity performance of antennas in MIMO systems. Following this, a compact three-element suspended plate antenna array with a bent ground plane is presented. The diversity performance of the design is experimentally and numerically analysed

Detection of Iris Presentation Attacks Using Feature Fusion of Thepade's Sorted Block Truncation Coding with Gray-Level Co-Occurrence Matrix Features.

Iris biometric detection provides contactless authentication, preventing the spread of COVID-19-like contagious diseases. However, these systems are prone to spoofing attacks attempted with the help of contact lenses, replayed video, and print attacks, making them vulnerable and unsafe. This paper proposes the iris liveness detection (ILD) method to mitigate spoofing attacks, taking global-level features of Thepade's sorted block truncation coding (TSBTC) and local-level features of the gray-level co-occurrence matrix (GLCM) of the iris image. Thepade's SBTC extracts global color texture content as features, and GLCM extracts local fine-texture details. The fusion of global and local content presentation may help distinguish between live and non-live iris samples. The fusion of Thepade's SBTC with GLCM features is considered in experimental validations of the proposed method. The features are used to train nine assorted machine learning classifiers, including naïve Bayes (NB), decision tree (J48), support vector machine (SVM), random forest (RF), multilayer perceptron (MLP), and ensembles (SVM + RF + NB, SVM + RF + RT, RF + SVM + MLP, J48 + RF + MLP) for ILD. Accuracy, precision, recall, and F-measure are used to evaluate the performance of the projected ILD variants. The experimentation was carried out on four standard benchmark datasets, and our proposed model showed improved results with the feature fusion approach. The proposed fusion approach gave 99.68% accuracy using the RF + J48 + MLP ensemble of classifiers, immediately followed by the RF algorithm, which gave 95.57%. The better capability of iris liveness detection will improve human-computer interaction and security in the cyber-physical space by improving person validation

An acquired Bartter syndrome with secondary Sjögren syndrome

Renal tubular involvement in Sjögren's syndrome (SS) often described with renal tubular acidosis, nephrogenic diabetes insipidus, or rarely with Fanconi syndrome. SS presenting with clinical features of Bartter's syndrome or Gitelman's syndrome is rare. We report a case of a female patient who presented an acquired Bartter syndrome with a secondary SS. Our case highlights the fact that hypokalemia with metabolic alkalosis in an adult patient should prompt clinicians to look for common and uncommon conditions. While assessing for abnormal conditions, acquired Bartter syndrome should be considered if a patient has an underlying autoimmune, endocrine, or connective tissue disease

Post COVID-19 mucormycosis- histopathology and associated factors

Introduction: SARS-COV-2 infection (COVID-19) may be associated with wide range of bacterial and fungal infections. Mucormycosis is a common and potentially life threatening opportunistic fungal infection responsible for morbidity and mortality. Many factors like diabetes mellitus, hypertension and corticosteroid therapy might have been a role in the immunocompromised state of the patients. The aim of present study was to know the predisposing factors and role of histopathology in diagnosis and assessing the prognosis of post COVID-19 mucormycosis cases. Material and methods: It is a prospective observational study conducted in tertiary care hospital over a period of 6 months from April 2021 to September 2021. Functional endoscopic sinus surgery (FESS) and maxillectomy samples from 157 post COVID-19 mucormycosis suspected cases were studied and details regarding history of diabetes mellitus, hypertension and corticosteroid therapy were retrieved. All tissue samples were examined under H&E stain and special fungal stain (PAS). Results: On histopathological examination, out of total 157 cases, 94 cases were found to be positive for mucormycosis. Of these 94 cases, 63 were males and 31 were females. Age range was from 23 to 75 years. 5 cases showed mixed mucormycosis and aspergillosis infection. Also out of 94 post COVID mucormycosis cases, 72 were diabetic, 21 were hypertensive and 68 had a history of corticosteroid intake for treatment of COVID-19 infection. Conclusion: Histopathology plays a pivotal role in accurate diagnosis and assessing the severity and invasiveness of mucormycosis. Diabetes mellitus and corticosteroid use are the important associated factors

Detection of Iris Presentation Attacks Using Hybridization of Discrete Cosine Transform and Haar Transform with Machine Learning Classifiers and Ensembles

Iris biometric identification allows for contactless authentication, which helps to avoid the transmission of diseases like COVID-19. Biometric systems become unstable and hazardous due to spoofing attacks involving contact lenses, replayed video, cadaver iris, synthetic Iris, and printed iris. This work demonstrates the iris presentation attacks detection (Iris-PAD) approach that uses fragmental coefficients of transform iris images as features obtained using Discrete Cosine Transform (DCT), Haar Transform, and hybrid Transform. In experimental validations of the proposed method, three main types of feature creation are investigated. The extracted features are utilized for training seven different machine learning classifiers alias Support Vector Machine (SVM), Naive Bayes (NB), Random Forest (RF), and decision tree(J48) with ensembles of SVM+RF+NB, SVM+RF+RT, and RF+SVM+MLP (multi-layer perceptron) for proposed iris liveness detection. The proposed iris liveness detection variants are evaluated using various statistical measures: accuracy, Attack Presentation Classification Error Rate (APCER), Normal Presentation Classification Error Rate (NPCER), Average Classification Error Rate (ACER). Six standard datasets are used in the investigations. Total nine iris spoofing attacks are getting identified in the proposed method. Among all investigated variations of proposed iris-PAD methods, the 4 ×4 of fragmental coefficients of a Hybrid transformed iris image with RF algorithm have shown superior iris liveness detection with 99.95% accuracy. The proposed hybridization of transform for features extraction has demonstrated the ability to identify all nine types of iris spoofing attacks and proved it robust. The proposed method offers exceptional performances against the Synthetic iris spoofing images by using a random forest classifier. Machine learning has massive potential in a similar domain and could be explored further based on the research requirements

Effect of integrated nutrient management on growth, yield and quality attributes of black cumin (Nigella sativa L.) var. Rajendra Shyama grown under terai region of West Bengal

A field experiment was conducted during rabi seasons of 2014–15 and 2015–16 to study the effects of various combination of different levels of inorganic, organic and bio-fertilizers (Azophos) on the vegetative growth, yield contributing attributes and quality of seeds of black cumin. The results showed that the combination of 100% RDF (Recommended Dose of Fertilizer) + 15 t ha-1 FYM (Farm Yard Manure) + 4 kg ha-1 Azophos significantly improved most of the parameters related to growth of plant, seed yield and net returns. However, for production of seed oil, 75% RDF of chemical fertilizers + FYM + bio-fertilizer was recorded was the best. Most of the soil properties were improved by application of 100% RDF + FYM. Therefore from the results, it could be suggested that inclusion of organic manure and bio-fertilizer along with 100% (RDF) is the best combination for seed production of black cumin whereas for better quality seed oil 25% RDF can be substituted with FYM and biofertilizer (Azophos) in terai region of West Bengal

A glossy mutant in onion (Allium cepa L.) shows decreased expression of wax biosynthesis genes

Cuticular wax is a characteristic feature of land plants that provides protection against both biotic and abiotic stresses. In this study, a glossy mutant lacking an epicuticular wax layer was identified in the γ-irradiated M2 mutant population of the onion cultivar Bhima Super. The inheritance of the mutant’s glossy phenotype was determined to be recessive and single locus. Scanning electron microscopy analysis showed poor accumulation of wax crystals in the glossy mutant, concentrated near the stomata. The plant height, number of leaves per plant, and stomatal parameters of the mutant were similar to the wild-type. RNA-seq was used to comprehend the expression variations of waxy cuticle-related genes in the glossy mutant and its wild-type waxy cultivars. Differential gene expression analysis of the RNA-seq data revealed that the genes involved in wax biosynthesis, such as AcCER1, AcCER26, AcMAH1, and AcWSD1, were downregulated by 2.72, 1.74, 2.59 and 2.12-fold, respectively, in the glossy mutant respectively. The expression patterns of these four unigenes were validated using semi-quantitative RT-PCR. The glossy mutant displayed a substantial 3.5-fold reduction in cuticular wax load compared to the wild-type due to the significant downregulation of these wax biosynthesis genes. These findings represent early advancements in understanding the molecular mechanisms of wax biosynthesis in onions. Furthermore, they provide a foundation for utilizing the glossy mutant trait in breeding programmes to enhance stress and pest resilience