Morpholine and its derivatives as vapour phase corrosion inhibitors for mild steel

Morpholine and its derivatives such as carbonate, borate and phosphate were synthesized llnd evaluated as vapour-phase corrosion inhihitors (VPIs) for mild steel usin~ wei~ht loss and visual observation methods under continuous condensation test (CCT). From the results the perfornlance of mOI"pholine and its derivatives as VI'I for mild steel is comparatively a'isessed

Evaluation of Neuroprotective Effect of Barleria Prionitis Linn in Animal Models of Parkinson’s Disease

The present investigation has been undertaken as study the anti-parkinson activity of aqueous extract of Barleria prionitis. The plant Barleria prionitis of family acanthaceae an ayurvedic herb which is known for its significant medical properties. Experiments were conducted following standard procedures. The aqueous extract of Barleria prionitis were evaluated for their invivo antioxidant and anti-parkison properties and neurotransmitters level. The anti-parkinson activity of AEBP was evaluated using MPTP induced parkinson and Rotenone induced Parkinson models. Levodopa was used as standard for both models. Extracts treated groups showed higher invivo antioxidant and anti-parkinson activities. They also showed higher activity in neurotransmitters level. AEBP exhibited similar anti-parkinson activity that of standard but with lesser magnitude. The result may be attributed to the chemical constituents such as iridoid glycosides present in it which may be due to their individual or cumulative effect that enhanced anti-parkinson activity and provided scientific evidence of the ethnomedicinal futures of Barleria prionitis. These findings could justify the inclusion of this plant in the management of parkinson’s disease

AXONOMIC STUDIES ON PREDATORY COCCINELLID BEETLES AND THEIR SPECIES COMPOSITION IN RICE ECOSYSTEM OF INDOBANGLADESH BORDER

Ten genera under four tribes of the family Coccinellidae were collected and identified from Indo Bangladesh border in 2009-2010. They are Brumoides suturalis (Fabricius), Chilocorus nigritus (Fabricius), Coccinella septempunctata Linnaeus, Coccinella transversalis Fabricius, Harmonia octomaculata (Fabricius), Illeis cincta (Fabricius), Micraspis crocea (Fabricius), Propylea sp. nr. japonica (Thunberg), Cryptolaemus montrouzieri Mulsant and Scymnus (Scymnus) nubilus Mulsant. Result also revealed that out of ten coccinellid Harmonia octomaculata (Fabricius) (22.9%), Micraspis crocea (Fabricius) (18.5%), Brumoides suturalis (Fabricius) (12.36%) and Chilocorus nigritus (Fabricius) (9.06%) were major predatory coccinellids beetles in rice ecosystems of Indo- Bangladesh border

Morpho-Agronomic Diversity in Pole-Type Common Bean (Phaseolus vulgaris L.) Landraces from Lushai Hills of North-East India

The present study was based on morphological and agronomical characterization of 23 pole-type common bean (Phaseolus vulgaris L.) landraces collected from Lushai hills of North-East India. Extensive variation in plant and seed traits was found in 16 morphological and agronomical characters. Cluster analysis based on Euclidean distance grouped the genotypes into five main branches, reflecting their growth type and reproductive traits. Significant positive or negative correlation was observed among important traits. Principal component analysis was used for assessing patterns of variation by accounting for all the 10 quantitative and six qualitative variables together. Ordination among accessions showed that the first five principal components had Eigen values greater than one, and cumulatively accounted for 72% of the variation. Characterization based on quantitative and qualitative traits enabled separation of accessions into various groups representing landraces with distinct characters

Determinants of Awareness of Rythu Bharosa Kendra’s (RBK’s) Programmes in Andhra Pradesh, India

Aim: The present study was taken up to understand the determinants of awareness about government intervention programme (RBK) in Andhra Pradesh Study design: To represent the whole study area, multi-stage random sampling was used. In total, 400 respondents were selected from 4 regions consisting of 100 respondents from each region. Place and duration of study:  The present study was based on primary data collected from the year 2021-22 in Andhra Pradesh Methodology: Binary logistic regression was applied using R software to study the awareness of determinants. Were level of awareness (0 or 1) was regressed against Gender, Age, Literacy Status, Operational Holding, Occupation and Extention Contact. Results: The analysis revealed that the majority of respondents are male (87.75%), of middle age (65.5%), had primary (23%) and secondary education (23%), have marginal (39.5%), small (40.5%) operational holdings, having occupations in agriculture (29.5%) and combined with animal husbandry (35.75%). They had full awareness about agricultural extension, Rythu Bharosa, e-crop booking, and crop insurance. Nearly complete awareness for quality inputs and interest subsidy. Lower awareness is noted for custom hiring centers (78.5 %), agriculture advisory board (64.25%), veterinary services (56%), digital library (48.75%), WhatsApp advisory (49.75%), milk collection (18%), soil testing (15.5%), and seed germination testing (13%). The logistic regression analysis revealed that the explanatory variables like gender, literacy status, operational land holding, occupation and extension contact were the major determinants of awareness among the farmers. A unit increase in these variables favors positively the odds ratio of a farmers regarding RBK services at Andhra Pradesh. Conclusion: The analysis reveals significant insights into the socio-economic profile and awareness of Rythu Bharosa Kendras (RBKs) schemes among farmers. A gender disparity highlights the need for targeted support for female farmers. Varied education levels and notable illiteracy indicate the necessity for tailored educational outreach. Enhanced extension services and focused support for small and marginal farmers can improve scheme uptake. Awareness of certain valuable services is low, necessitating targeted campaigns. Effective communication strategies and regular monitoring are crucial for better information dissemination and program refinement, ensuring inclusive and impactful support for the farming community

Micro short circuit fault diagnosis in Li-ion cell

Micro short circuits (MSCs) in lithium-ion battery cells are a critical safety concern, potentially leading to thermal runaway, internal short circuits, overheating, and battery degradation. Compared to normal cells, MSC fault cells exhibit reduced capacity with each charge-discharge cycle and an increasing state of charge (SOC) deviation over time. To differentiate normal cells from MSC fault cells, a fault diagnosis method based on remaining charge capacity (RCC) estimation is proposed. After each charge discharge cycle, the cell’s RCC is compared to a safe threshold value. The method uses the charge cell voltage curve (CCVC) of a fully charged reference cell to estimate RCC via standard CCVC hypothetical conversion. This approach’s accuracy is validated in constant power and constant current charging scenarios. MSC leakage current is calculated by incrementing RCC after each charge, and then converted to MSC resistance. A MATLAB/Simulink model of a battery pack with an MSC fault was developed to test the method across various charge cut-off voltages. The diagnostic procedure’s applicability to ageing cells, constant power, and multi-step charging is further confirmed through experiments with external resistance, enhancing MSC detection before thermal runaway becomes unmanageable

Experimental Assessment between Dissimilar Techniques and Methodologies to Sports Knee Injury using Magnetic Resonance Imaging

The anterior cruciate ligaments, which are crucial for conserving the normal biomechanics of human being knees, are the majority commonly injured knee-ligaments. An anterior cruciate ligament injury is originated by a split or wrench of the anterior cruciate ligaments, which are imperative ligaments in the knee. ACL injure is mainly and frequently caused by sports like football, soccer, and the like that require quick pauses or direction changes, jumping, and landings. These days, the area of diagnostics heavily relies on magnetic resonance imaging. It is effective in determining the presence of meniscal tears and damage to the cruciate ligament. This study\u27s primary objective is to use magnetic resonance imaging knee images to find anterior cruciate ligament tears, which can be useful in identifying issues with the knee. Inception-v3, an established deep transfer learning (DTL) model based on a DCNN was used in this study to classify anterior cruciate ligament tears in MRI scans. Classification, Preprocessing, and feature extraction are the major processes used in the current study executions. The dataset type utilized in this article of research study was built using the MRNet database. Seventy percent of the data set is used for preparation and testing, while the lingering thirty percent is utilized for performance analysis in this comparison model. The future augmented methodology can improve upon the present models\u27 performance through the application of DL and ML techniques

EFFECTS OF PRIMING ON GERMINATION AND SEEDLING VIGOUR OF BIRD’S EYE CHILLI (CAPSICUM FRUTESCENS L.) SEEDS COLLECTED FROM EASTERN HIMALAYAN REGION OF INDIA

A study was conducted to find out the efficacy of organic and inorganic priming on germination and seedling vigour of bird’s eye chilli (Capsicum frutescens L.) seeds collected from eastern Himalayan region of India. Results showed that, all studied traits were affected by priming treatments and there was completely significant difference (p≤0.05) in germination percentage between primed and non primed seeds. Among all priming treatments, 1% KNO3 (39.68 % higher) recorded the highest germination percentage as compared to non primed control. Other best treatments recorded were 2% KH2PO4 (37.50 % higher than control) followed by 200g/Kg seed neem leaf powder (NLP) (35.12 % higher than control) and 3% KNO3 (35.12 % higher than control). In addition to this, 200g/Kg seed NLP treatment recorded lowest mean germination time (13.53 days) while control recorded maximum mean germination time (21.63 days). From the study it was concluded that, seed treatment with NLP is essential for pre and post storage treatment of seeds, as it maintained seed viability and seedling vigour optimally among all other treatments

A study on trade performance of Indian black tea: An artificial neural network and Markov chain approach

This study explores the use of Artificial Neural Networks (ANN) and Markov Chain models to forecast India’s black tea exports to major international markets. While the Markov Chain approach provided a simplified, state-based view of export behaviour, the ANN models were designed to capture continuous patterns and subtle market dynamics. Forecasts were generated for the next five years across ten key importing countries. Model performance was assessed using standard evaluation metrics- Mean Absolute Percentage Error (MAPE), Root Mean Squared Error (RMSE) and R-squared (R²). The results clearly favoured the ANN model, which consistently delivered more accurate and reliable forecasts. Notably, the United Arab Emirates (UAE) emerged as the top growth market, with predicted export values from India reaching ₹1.23 lakhs by the fifth year. Russia and the USA also showed strong forecasted demand, with expected values of ₹64767 lakhs and ₹45238 lakhs, respectively. These insights offer practical value for exporters, traders and policymakers by highlighting priority markets and supporting more informed decision-making. Overall, this research reinforces the importance of intelligent forecasting systems in managing the complexity of international tea trade

Exploring the genetic variability, heritability, gene action for yield related traits and ToLCNDV resistance on F3 and F4 generations in cucumber [Cucumis sativus L.]

Cucumber is traditionally cultivated in India and is recognized as a primary centre of origin, belonging to the gourd family, Cucurbitaceae. The study focused on assessing genetic variability in F3 and F4 cucumber populations and examining correlations among various characters including ToLCNDV resistance. In both F3 and F4 generations, per cent disease index, fruit weight and vine length exhibited high heritability and genetic advance as per cent of mean. In F4 generation, yield per plant, fruit girth, fruit length, number of branches and number of fruits per plant also showed high heritability and genetic advance as per cent of mean. Yield related traits viz., sex ratio, number of fruits per vine, yield per plant and vine length exhibited complementary gene action. Days to first harvest and crop duration demonstrated negatively skewed distribution suggesting duplicate gene action and rapid genetic gain under selection. Leptokurtic distribution in yield per plant and associated traits implied the involvement of few genes for genetic inheritance of the above traits. Significant positive associations were found between yield per plant and number of fruits per plant, fruit weight and number of branches per plant suggesting potential early selection for these characters to enhance overall yield