Volume 11 | Issue 9

 Abstract

Research in the field of sex studies has become a dynamic area of study over the past few decades and is likely to become even more so as the importance of sex equality is rapidly gaining momentum. Therefore understanding sex differences will be viewed as increasingly important. India has been regarded as the youngest country in the world by the UN, as it has the world's second-largest population. However, there are only 940 females for every 1000 males (census 2011), indicating clear sex discrimination. Sex difference is one of the most neglected components in the Indian education system due to the complexity in its computation. Sex shapes an individual's personality, measured by the big 5 personality traits of an individual (Openness to experience, Conscientiousness, Extraversion, Agreeableness, and Neuroticism) and controls the behavior of the person, which has a strong relationship with academic productivity. This article aims to examine the relationship between Academic productivity and sex of net generation students.

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Sex, Academic productivity, Net generation students

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The digestive system disease amlapitta is fairly prevalent. Our nutrition, lifestyle, and behavioral patterns have all altered drastically in the modern world, and they are not compatible with our natural digestive physiology. Amlapitta is developing into a very dangerous condition that can cause numerous issues in the body, including metabolic syndrome, hormonal abnormalities, and autoimmune disorders. Amlapitta is one of the three Annavaha Srotas Vyadhis that result from the vitiation of three Doshas, and it manifests as Vidagdhajirna when one of the three Dosha-causing Mandagnis is present. Pitta Prakopakara Ahara, Vihara, which results in Amlatha, Dravata, and Vriddi of Pitta generating Shuktata of Pitta and manifesting the ailment Amlapitta and Manasika Bhavas, plays a significant role in it, is consumed in excess. We conducted study on 40 patients with 2 groups, 20 patients each. Avipattikara Choorna & Panchanimbadi Choorna used in respective groups patients. Observations done & here is an article of it

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Amlapitta, Hyperacidity, Avipattikara Choorna, Panchanimbadi Choorna

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Article 356 gave the Central government wide powers to stamp its clout on the state legislatures. Despite the fact that it was implied exclusively as a way to safeguard the uprightness and solidarity of the country, it had been utilized obtrusively to expel state legislatures who were controlled by political rivals of the middle. It was utilized without precedent for 1951 in Punjab.

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State Emergency, Article-356 of Indian Constitution, Misuse of Article-356, President's Rule, State Emergency' or 'Constitutional Emergency'

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Presented herein are in the analytical studies of hydrodynamic lubrication of micro-polar fluid in symmetric rollers. The load capacity have been examined for different values of parameter ?x, ?/?, and k_v/?_v . The load capacity depends different values of parameters. It has been observed that the load capacity increase with the increase of axial distance

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Micro-polar fluid, coupling constant, load capacity, axial distance.

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Purpose of the study: Main purpose for which study has been undertaken that to check and evaluate the liquidity position of selected steel companies in India and also to know the short term solvency of selected sample. Research methodology: This research is completely based on secondary nature and data has been collected from respective companies' annual financial report. Sample that has been selected for the study which are based on total asset of the company and also those sample are selected which are listed in NSE (NATIONAL STOCK EXCHANGE) as on 11 august 2023. Sample selection has been based on non-probability technique and also in non-probability technique researcher has used judgemental technique. Conclusion/ findings of the study: JSW steel has comparatively high current ratio, quick ratio and also high cash ratio. So researcher conclude that JSW steel has high liquidity capacity to pay off its current obligation of companies than TATA steel.

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Current ratio, Quick ratio, Cash ratio, TATA steel, JSW steel

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It is our duty to protect the environment, what nature has given to human life. In such a situation, man has constantly attacked the environment for his personal benefit. If this situation continues like this, our destruction will take place before our very eyes. If this does not happen, it is important to take care of the environment in today's time. There is no need to set aside our work for the protection of the environment. If we follow certain steps in our daily life, it will help in the survival of the environment.

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Parisara Maalinya, Parisara Jeevigalu, Sasyagala Upayoga

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Abstract: One of the most dangerous viruses of the 20th century is COVID-19, automated diagnosis has become one of the most fashionable research topics to achieve faster mass screening. Deep learning-based approaches have been found to be the most promising methods for finding this type of disease. However, this paper proposes a two-step deep CNN-based method to detect COVID-19 from chest X-ray images to achieve optimal performance with limited training images. In the first step, an encoder-decoder-based autoencoder network trained on unsupervised lung X-ray images is proposed, and the network learns to reconstruct the X-ray images. In the second step, an encoder network is proposed, which consists of different layers of the encoder model and then the encoder. Here, the encoder model is initialized with the weights learned in the first step, and the outputs of the different layers of the encoder model are effectively used by combining them into the proposed component network. An intelligent functional redundancy system is implemented in the proposed redundancy network. Finally, the link network of the encoder is trained to extract the detected features from the X-ray images, and the resulting features are used in the classification layers of the proposed architecture. Considering the final classification task, the EfficientNet-B4 network is used in both stages. Full training is performed on datasets covering the following categories: COVID-19, Normal, Bacterial Pneumonia, Viral Pneumonia. The proposed method gives a very satisfactory performance compared to the state-of-the-art methods and achieves 91.23 accuracy in 4-class, 95.72% in 3-class and 98.87% in 2-class classification.

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COVID-19 diagnosis; Medical Image Analysis; X-ray; Neural Network; Autoencoder; Deep Learning;

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This research paper investigates the role of translanguaging in the sales sector in India, with a focus on its influence in expediting deal closures and strengthening client relationships. Leveraging a mixed-method approach that integrates case studies and interviews with sales executives from various industries, the study aims to empirically validate the hypothesis that translanguaging serves as a potent linguistic strategy. Initial findings suggest that translanguaging not only facilitates more nuanced and effective communication but also engenders a more trustful and collaborative client-salesperson dynamic. The research adds to the burgeoning literature on applied linguistics in professional settings and offers actionable insights for sales training programs.

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Translanguaging, Sales, Business Communication, Client Relationship

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Story telling is most interesting and engaging activity to nurture the Preschool child's personality. A story is a narrative account of an event or a sequence of events. A good story always has a core element of truth and moral. The story must be consistent and authentic. Storytelling is an interactive art of using words and actions to reveal the elements and images of a story while encouraging the listener's imagination. However, this traditional method of early childhood learning has faded somewhere in this techno-oriented world. We depend on gadgets to tell stories to children. But despite advancements in technology, gadgets remain devoid of the 'human touch. And one disheartening fallout is that the importance of storytelling for children is slowly diminishing. Hence there is an urgent need to take an initiative to redefine this method again. The objective of the present paper is to analyse the importance of story telling and help the Pre-school children for their al round development with the help of management, teachers and parents.

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Storytelling, Pre school children, moral stories, pre school education.

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Medicinal From ancient times, plants have been used in traditional medicines for the treatment of different ailments. Plants are one of the richest bioresources for traditional and folk medicines to date. Jasmine is botanically known as Jasminum sambac or Jasmininie and belongs to the olive family of Oleaceae. Literature reports suggest that Jasmine is analgesic, antidepressant, antiseptic, expectorant, aphrodisiac, sedative, stomachic, diuretic, depurative, astringent, stimulating, anti-oxidizing, anthelmintic, and anti-inflammatory. The objective was to study the antibacterial activity of Jasminum sambac extracts against mouth ulcer-causing organisms. The antibacterial activity has been studied against Escherichia coli, Pseudomonas aeruginosa, Staphylococcus aureus, Bacillus subtilis & Enterococcus faecalis by agar well diffusion method. Leaves extract of J. sambac gives effective results against oral pathogens causing mouth ulcers. Acetone and Ethanol extracts displayed good antibacterial activity. The phytochemical studies revealed the presence of Carbohydrates, Proteins, Steroids, Alkaloids, Flavonoids, Phenols, Saponins, Glycosides, and Tannins. J. sambac may prove to be an effective medicine for the treatment of ulcers.

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Jasminum sambac, Antibacterial activity, Phytochemical analysis, Oral Pathogens.

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India is a country of rich traditional knowledge. The people of this land, through their indigenous knowledge, have been able to understand and use the complexities of life to find the best possible solutions over time. They had an innovative approach to addressing the challenges of different life forms. Dharamapala's works represent the knowledge system that prevailed in India before the European invasion. People who came from different places also started to spread the knowledge in their countries. It's a known fact that environment and ecology comprising air, earth, water, plants and animals play a very significant role imperative in sustaining human life and civilization. Human civilization can flourish only if there is consistent harmony among various stakeholders in making optimum sustainable use of the world natural resources and take responsibility to protect the environment from any degradation and damage. Indian presidency adopted an action-oriented approach and the G20 explored mechanisms that can support timely and adequate mobilization of resources for climate finance, facilitating access to multilateral climate funds and enhancing their leverage and ability to mobilize private capital has also been the focus.

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Sustainability, Inclusiveness, responsibility, ancient wisdom, cultural economy, global economy

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The adoption of renewable energy sources in modern India has significant implications for ecology, environment, and tourism. This paper provides a comprehensive overview of the potential benefits and challenges associated with renewable energy projects in India. We discussed the environmental impact of renewable energy sources, the social and economic impact, and the impact on tourism. We also explored several examples of renewable energy projects and their impact on different aspects of Indian society. In conclusion, we emphasized the importance of a sustainable and socially responsible approach to the adoption of renewable energy sources in India, and the need for policies and regulations that prioritize environmental protection and the rights of local communities.

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Ecology, Environment, and Tourism

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The field of biosciences have progressive to a higher extent and have generated large amounts of information from Electronic Health Records. This have given rise to the acute need of knowledge generation from this enormous amount of data. Data mining methods and machine learning play a major role in this aspect of biosciences. Chronic Kidney Disease (CKD) is a condition in which the kidneys are damaged and cannot filter blood as they always do. A family history of kidney diseases or failure, high blood pressure, type 2 diabetes may lead to CKD. This is a lasting damage to the kidney and chances of getting worse by time is high. The very common problems that results due to a kidney failure are heart diseases, anemia, bone diseases, high potassium, and calcium. The worst-case situation leads to complete kidney failure and necessitates kidney transplant to live. An early detection of CKD can increase the quality of life to a greater extent. This calls for good prediction algorithm to predict CKD at an earlier stage. Literature shows a wide range of machine learning algorithms employed for the prediction of CKD. This paper uses data preprocessing, data transformation and various classifiers to predict CKD and proposes best Prediction framework for CKD. The results of the framework show promising results of better prediction at an early stage of CKD.

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Chronic Kidney Disease, Machine Learning Approaches, Kidney Disease Prediction.

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Kidney disease poses a significant health challenge, with kidney stones being a common manifestation that requires timely diagnosis and treatment. Traditional diagnostic methods often rely on radiological imaging, which can be time-consuming and subjective, heavily reliant on the expertise of radiologists. This research introduces a novel approach to automate the detection of kidney stones using deep learning techniques. In this study, a diverse dataset of medical images, encompassing normal kidney tissue, kidney stones, cysts, and tumors, is collected and annotated. Two state-of-the-art deep learning architectures, VGG16 and ResNet50, are employed for the classification task, leveraging their ability to extract intricate details from medical images. The methodology involves data preprocessing, including dataset balancing to prevent class imbalance bias. Feature selection techniques are applied to improve classification accuracy by removing irrelevant and redundant attributes. Convolutional Neural Networks (CNNs) are utilized, comprising convolution, pooling, and fully connected layers, to identify patterns in the images and classify them into the relevant categories. Results demonstrate the efficacy of the proposed deep learning models, achieving an impressive accuracy rate of 99.36% in the classification of kidney stones, cysts, tumors, and normal kidney tissue. Confusion matrix analysis further validates the model's accuracy. The outcomes of this research indicate that deep learning models can significantly expedite the diagnostic process for kidney disease, reduce healthcare costs, and potentially lead to earlier diagnoses and treatments. Moreover, the burden on radiologists can be alleviated through the deployment of a fully developed automated system for kidney illness detection.

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Kidney disease poses a significant health challenge, with kidney stones being a common manifestation that requires timely diagnosis and treatment. Traditional diagnostic methods often rely on radiological imaging, which can be time-consuming and subjective, heavily reliant on the expertise of radiologists. This research introduces a novel approach to automate the detection of kidney stones using deep learning techniques. In this study, a diverse dataset of medical images, encompassing normal kid

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The Sign Language Detection system is developed for detecting the alphabets of American Sign Language (ASL). Conventionally, sign languages comprise of finger spelling. For detecting the signs, the Regions of Interest (ROI) are related and tracked employing the Landmarks feature of Media Pipe. Then by using Open CV, we capture the landmarks of the hands, and the key points of landmarks are stored in a NumPy array. Then we can train the model on it by using TensorFlow, Keras, and CNN. Finally, the model can be tested in real-time by ingesting live feed incoming from the webcam. Realtime Sign Detection is one of the essential applications to be used by deaf and dumb people as it helps them to communicate with others effectively. Historically, various methodologies for detecting signs were employed by the Machine Learning Algorithm, by training it on the image data . However, now we are employing Deep Learning Models to simplify and speed up the process of real-time sign detection and recognition and produce equal or more accuracy using smaller amounts of data.

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American Sign Language, Realtime, Media Pipe, Landmarks, Key points, OpenCV, NumPy, CNN, TensorFlow, Keras.

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Sanskrit has been a vehicle of Indian traditional wisdom.The literary form known as "K?vyas", as it is appropriately termed, retains its creative vitality in both prose and poetry. Mah? K?vyas, Laghu K?vyas, or Khan?a K?vyas are two literary genres created by our Indian poets that are both prose and poetry masterpieces, rich in all facets of culture. To a significant extent, a new vision of progress has been escorted by the genre of A??apadi known as G?ta K?vyas. The poet Jayadeva's composition G?ta -Govinda, written in the twelfth century, is considered to be the foundational work of the A??apadis genre. This outstanding literary work paved the path for numerous other poets to replicate it and adapt it to their own works. This academic study investigates the diversity of the A??apadi G?ta -Govinda's lyrical genre and its emulations.

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G?ta K?vya, A??apadi, G?ta-Govinda, Jayadeva, Bhakti, Rasa, etc.

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Forest tribals of different states of India earn their livelihood by getting economic support from minor forest produce. Various measures have been taken by the Central Government and the State Governments in collecting minor forest produce, marketing, selling it, etc., through which the standard of living of the tribals can be raised. Government's MSP for MFP and Van Dhan Yojana are very useful schemes for collection, marketing and sale of minor forest produce. Through it, many tribals of different states of the country have got financial assistance.

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Tribal, Tribal Economy, MSP for MFP, Van Dhan Yojana, TRIFED

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CORRECT CIRCUMFERENCE WILL FIND CORRECT DIAGONAL OF THE SQUARE - HONOURABLE RISHI SUNAK METOD (1732ND PROOF OF REDDY?)

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CORRECT CIRCUMFERENCE WILL FIND CORRECT DIAGONAL OF THE SQUARE - HONOURABLE RISHI SUNAK METOD (1732ND PROOF OF REDDY?)

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Employee experience (EX) is the experience of employees right from the day of job candidacy until the day they exit the organization. It combines three distinct environments, namely technological, physical, and cultural, irrespective of the organization's type, size, and scope. According to a recent study, negative employee experience is one of the top reasons behind the high attrition rate of employees. To recruit and keep the greatest talent today, businesses must consider their employees' touchpoints, including their organization's culture, technology, physical environment, etc. Before accepting a job, salary may be a major concern, but with millennials; it's not the only case. They are more concerned about positivity at the workplace and their experience with the organization. Over the past few years, employee engagement gained popularity, and a lot of research has been done on its theoretical and practical perspective. However, very little research has been done on the necessity of employee experience for effective employee engagement and satisfaction. This paper highlights the Employee experience trends to improve workforce productivity. It has also emphasized the relevance of positive EX with the productivity of remote workers. The potential contribution of this study will provide useful insights on how to increase the productivity of the workforce through positive employee experience for various professionals, practitioners, and academicians in the field of HR management.

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employee experience, remote workers, workforce productivity

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Wireless communication is made up of numerous constrained sensor node with constrained resources such as Energy capacity, Data transmission capacity, Battery longevity, Storage capability, Computational capacity. Sensor nodes generate massive volumes of data, which are subsequently gathered and transmitted to the sink through single or multi-bounds paths. Due to inadequate data transfer across nodes and excessive energy consumption caused by rising data transmission delay, the network becomes unstable due to the limited skills of the nodes. Network performance can be significantly impacted by sink locations and the paths that sensors take to get there. Although several solutions have been put out to deal with this problem, they frequently lead to networks that have limited lifespans, consume a lot of energy, and transport data slowly. Clustering is a helpful method for overcoming these constraints that can help wireless sensor networks operate better by consuming less energy. With the goal of increasing the lifespan of wireless sensor networks, this study applies a clustering technique to predict the optimization of two or more sink deployment and sensor-to-sink communication. We aggregate nodes using an improved mean shift approach initially, and then choose the cluster head using a QOS-aware cluster head selection. The suggested approach uses sleep scheduling and cluster-based routing for data transmission, which aids in quick routing and energy conservation.

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wireless sensor networks; sink; mean shift algorithm; [QoS] Quality of Service; sensor-to-sink routing; data transmission; cluster based routing, sleep scheduling.

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