Volume 11 | Issue 9

 Abstract

This research delves into the historical archives documenting instances of famine-driven hardship in the Mysore region prior to 1924. It centres on the causes, repercussions, and the intricate network of strategies employed to mitigate these challenges. By utilizing a rich collection of detailed historical records, this study provides an insightful exploration into the factors that precipitated widespread famines, encompassing climatic elements, agricultural methodologies, and economic circumstances. The study meticulously traces the progression of approaches aimed at alleviating famine, starting from the inception of the initial Famine Code in the latter part of the 19th century, up to the advanced pre-famine preparations and relief initiatives of the early 20th century. Prominent themes examined in this research encompass the complexities of precipitation patterns, the susceptibility of agrarian economies to climatic fluctuations, and the ramifications of land fragmentation and labor dynamics in agriculture. The research also underscores the pivotal role played by irrigation infrastructure, railway networks, and other precautionary measures in lessening the impact of famines stemming from droughts. The discoveries made contribute to a holistic comprehension of how the historical administration in Mysore confronted famine emergencies. This offers valuable insights to scholars, policymakers, and researchers with an interest in comprehending the historical backdrop of food security, famine management, and socio-economic robustness. By scrutinizing the achievements and obstacles encountered in famine relief endeavours in Mysore, this investigation casts light on the evolving techniques utilized to address food scarcity. Furthermore, it emphasizes their relevance in the context of modern strategies for preventing famines and providing relief.

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 Keywords

Famines, Mysore, Relief Efforts, Food Scarcity, 1876-77 Famine, Intelligence System, Irrigation, Resilience, Railways, Credit Societies, Famine Resilience Fund, Drought-Induced Famines, Rainfall Shortfall, Grain Prices, Madras and Bombay Districts, Famine Conditions, Relief Activities, Mortality, Financial Repercussions, Famine Prevention, Relief Initiatives, Rainfall Patterns, Agricultural Prosperity

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 Abstract

A strong banking sector is important for flourishing the economy of housing loan through leading banks have become a source of support to pursue housing facility & materialize the dream of future. Though streaming both the public & private sector bank are offering housing loan as per the same guidelines of RBI there may be sum difference in some of the factors such as insurance coverage, concession for pre-closure cash back offer etc. in this context it is important to study the insight level of customer preference with respect to housing loan & to identify the problems faced by customers. The study helps in knowing how far the banking services used by the customers. In the view of the objectives set for the research, the study examines the efforts made by the government in the form of policies are helpful to home loan borrowers. The study mainly concerned with the customers satisfaction and problems faced by them in private and public banks with regards to providing housing finance to individual borrowers and to examine the operational factors which influence them in the selection of housing financial institutions.

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Housing loans, Types of Home loans, Customer Preference, Home loan schemes.

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Microspheres, Haloperidol, Ethylcellulose, sodium alginate.

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Creative Commons Attribution 4.0 and The Open Definition

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Fast implementations have formed the basis in a whole rare form of rising performance and fault acceptable circuits premised on approximation technology. High performance comes at the expense of accuracy in many applications. Additionally, such methods minimise system architectural complexity, latency, and power consumption. When compared to existing designs, this study investigates and proposes the design and analysis of an approximation compressor with reduced size, latency, and power and equivalent accuracy. The stated approximation 4: 2 compressor now has relatively small footprint, lower power losses, and reduced latency in comparison with precise 4: 2 compressor. With the optimized compressors, 8 bit and 16 bitDadda multipliers can be designed efficiently. In comparison to current approximation multipliers, these multipliers offer equivalent accuracy

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 Keywords

Approximate 4:2 compressors, approximate multipliers, error resilient applications, image processing

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 Abstract

Signature verification is a critical component of document authentication and fraud detection systems, with applications ranging from financial transactions to legal agreements. Traditional methods for verifying signatures often rely on manual inspection and feature engineering, making them susceptible to errors and time-consuming. In response to these challenges, this research presents an innovative approach that leverages deep learning techniques, specifically Siamese and Convolutional Neural Networks (CNNs), to automate and enhance the accuracy of signature verification. The Siamese network architecture is employed to compute the similarity between two signature images, allowing for a precise determination of their authenticity. This network comprises identical subnetworks that share weights and are trained to extract discriminative features from input signatures. The Euclidean distance between the learned embeddings produced by these subnetworks serves as a measure of similarity, enabling reliable signature verification. Complementing the Siamese network, a CNN is employed to extract hierarchical features from signature images. This deep learning architecture includes convolutional and pooling layers, enabling automatic feature extraction. Extracted features are subsequently fed into fully connected layers for classification, providing an additional layer of verification. Experimental evaluations were conducted on two distinct datasets: the Cedar dataset, comprising genuine and forged signatures, and the ICDAR dataset for classification tasks. The results demonstrate the efficacy of our proposed approach. The Siamese network achieved an impressive accuracy of X% on the Cedar dataset, effectively distinguishing between genuine and forged signatures. Additionally, the CNN attained a validation accuracy of Y% on the ICDAR dataset, showcasing its ability to classify signatures as genuine or forged. In conclusion, this research offers a compelling solution for automated signature verification by combining Siamese and Convolutional Neural Networks. By addressing the limitations of traditional methods, our approach contributes to the field of document authentication, with the potential to enhance security and efficiency in various domains.

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 Keywords

Signature Verification, Siamese Neural Network, Convolutional Neural Network (CNN), Deep Learning, Document Authentication, Fraud Detection, Signature Classification

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The purpose of the present study was to examine the difference between male and female partners in marital adjustment and to investigate the relationship between marital adjustment and trust among married couples. Purposive sampling method was used. The sample consisted of 50 married couples (50 males and 50 females) from the urban population who had been married for 5 to 10 years. The sample was interviewed using the "Marital Adjustment Questionnaire" by P. Kumar and K. Rohatangi and the "Confidence Scale" by Remple and Holmes. The collected data were evaluated and analysed using the t-test for independent samples and Pearsons correlation. The results showed that there was a significant positive correlation between marital adjustment and trust. However, there was no significant gender difference in the two variables. Quantitative research in the future would help to gain insight into the factors that influence trust in the marital relationship, which in turn may help professionals to raise awareness among married couples for better adjustment in married life.

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Marital adjustment, trust, and married couples

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Machine Learning is finding applications in a wide number of disciplines throughout the world, including the healthcare industry. It can be used to predict the existence or lack of locomotor disorders, cardiac illnesses, and other conditions. When these assumptions are established well in advance, it means they can provide vital insights to clinicians, allowing them to personalise diagnoses and therapies to each individual patient. The goal of this study is to apply algorithms based on machine learning to anticipate possible cardiac problems in individuals. A comparative investigation of classifiers such as K-Nearest Neighbours (K-NN), Decision Trees, Support Vector Machines (SVM), Logistic Regression, and Random Forest is part of the project. It also presents an ensemble classifier which employs both strong as well as weak classifiers to conduct hybrid classification. This method is helpful since it allows for the incorporation of a wide range of validation and training samples, which leads to improved precision and predictive analysis. This Model accepts as input the qualities that are kept after the feature selection techniques have been applied. Only 14 of the 75 features that make up the UCI Heart Disease data set are chosen and utilised for prediction. This model predicts whether a person has heart disease or not.

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heart diseases, Machine learning, comparative analysis of classifiers and python.

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India, the largest democracy in the world, is very much proud of her rich traditional cultural heritage and technically skilled manpower .Recent Indian scientific, industrial and technological developments, particularly in space, nuclear and missile technology, computer engineering and information science have earned India world recognition as an emerging global power From a nation dependent on food imports to feed its population, India today is not only self-sufficient in grain production but also has a substantial reserve. The progress made by agriculture in the last four decades has been one of the biggest success stories of free India. Agriculture and allied activities constitute the single largest contributor to the Gross Domestic Product, almost 33 per cent of it. Agriculture is the means of livelihood of about two-thirds of the workforce in the country.

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A study to find out hurdles in successful implementation of computer Education.

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The research paper named "The Analytical Study of Right to Privacy and its Constitutional Validity" embraces an exhaustive assessment of the essential right to privacy inside the constitutional structure. This study digs into the development of the right to privacy as perceived by the legal executive, administrative establishments, and global principles. Through an analytical focal point, this research explores the constitutional validity of the right to privacy, examining its degree, impediments, and suggestions inside the setting of individual opportunities, technological advancements, and cultural interests. In a period characterized by fast technological headway and advancing cultural standards, the research paper named "Analytical Study of Right to Privacy and its Constitutional Validity" dives into the mind boggling transaction between individual liberties and the constitutional system. The right to privacy, a foundation of present day common liberties talk, shapes the core of this study. This research leaves on a far reaching excursion to examine the starting points, development, and constitutional validity of the right to privacy, disentangling its multi-layered aspects in the contemporary scene.

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Right to Privacy, Constitutional Validity, Individual Liberties, Technological Advancements

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Fish seed is the most important component for fish culture. Culturing of high resistance, High growth rate and low mortality rate fish species will brings huge production rate. The mohi tummeda vagu have providing shelter for various species of fishes, birds, weeds and other Aqua related organisms. The freshwater resources of our country for fish culture are estimated to be 2.85 million hectares of pond and tanks. In addition to this, another 2.05 million hectares of water area is available in the form of reservoirs or lakes. It has been estimated that nearly 14250 million fry would be required for stocking even the present available cultivable resources of 2.85 million hectares on a conservative stocking rate of 5000 fry/ha. The present production is 15007 million fry. Apart from this, at least an additional quantity of 4100 million fry are required for stocking the available area of lakes and reservoirs with an average stocking rate of 2000 fry/ha. This indicates that there is a necessity to raise the fry to stock the available water resources.

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Fish seeds, Fry, Stocking, Freshwater resources, Mohi tummeda vagu.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Department Data Management System (DDMS) is a software system designed to facilitate data management in a college department. The data includes attendance data, student data, student marks, and university data. The system also implements the functionality to map student university seat nos. The software automatically maps student attendance, generates academic reports and maps Course Outcomes (CO), and Program Outcomes (PO) to the result. Timely notification of attendance is provided to the respective students as well as their parents including insights and analysis of performance for students and faculties alike. The software is made available on all major operating systems like Android, iOS, Web, Windows, macOS, and Linux (all major distros), using a Progressive Web App (PWA). The user can extract data from uploaded documents regardless of whether they are in .csv, .xlsx, or .pdf (scanned or textual) format. In this application software, most of the manual tasks are automated, and data is accessible in a secure and timely manner, while maintaining a higher level of accuracy. The system is highly protected from most cyber attacks to maintain data privacy. DDMS offers a streamlined and efficient approach towards data management in various universities.

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Database management, CO-PO mapping, Attendance monitoring, Data extraction , Optical character recognition (OCR), Progressive web app

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 Abstract

It is very essential to understand the legal system of different countries for the comparative study with Indian law. India perhaps is a country under the common law family in addition to having given rights for rights to individual religion. For the comparative method of legal study and research, it is very essential to understand and study the legal systems of different countries which helps to understand the loopholes of our legal system in country and improvement is done accordingly by studying the legal system of various countries it highlights the functioning and mechanism of legal activities of various countries. This helps us to understand the lacunas of our legal system, improves our knowledge by knowing the legal system of various countries.

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Domestic violence , comparative study , Law, Countries, Family Law

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The paper deals with 30 plant species belonging to 28 genera and 20 families comprising 40 ethnomedicinal uses for dental care (toothache, tooth decay, pyorrhea, out smell and as tooth brush) by the different tribal and rural people in Pendra, Kondagaon and Korba districts of Chhattisgarh. The highest number of species recorded in the family Fabaceae (07). As medicinal plant species are on the verge of extinction. And lack of awareness and research on this group of plant in this area, people of this region are unaware of the wealth of this heritage. From biodiversity point of view, the vegetation survey is very much important for the research of database from this region which ultimately can be utilized for medicinal experts, plants explorers, researches etc. for their further studies. This survey provides a preliminary source of information of traditional medicinal practitioners in this areas. These uses were compared and cross-checked with the published ethnomedicinal data from Chhattisgarh, literature published in scientific journals and other states of the country and found that 12 uses of the referred plants had not been reported earlier. These plant species are arranged alphabetically with their botanical names, family and local name(s), followed by the method of uses for dental care along with field collection number(s) and uses cited by earlier workers.

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Dental care, Toothbrush, Ethnobotanical uses, Traditional

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Aluminum alloy AA7075 is an important material used in aerospace, electrical and automotive industries due to their better physical, mechanical, corrosion resistive properties. silicon carbide (Sic) is a potential particulate reinforcement to produce Aluminum matrix composites (AMCs) economically . Stir casting method was applied to produce Aluminum alloy AA7075 reinforced with various amount of (3% & 5% in the total composition ) of silicon carbide particles. The prepared composites where characterized and mechanical properties such as hardness , tensile & compression strength are determined and also its microstructures properties are analyzed using scanning electron microscope(SEM) .this result will show better mechanical properties with addition of (Sic) to the matrix.

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Aluminum alloy 7075 , composite , silicon carbide , fabrication

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Fast-moving consumer goods (FMCG), also known as consumer-packaged goods (CPG), are products that are sold quickly and at a relatively low cost. Examples include non-durable household goods such as packed foods, beverages, toiletries, candies, cosmetics, dry goods, and another consumable. Fast moving consumer goods have a high inventory turnover and are contrasted with specialty items which have lower sales and higher carrying charges. Many retailers carry only FMCGs particularly hypermarket, box store and warehouse club stores. Small convenience store also stock fast moving goods; the limited shelf space is filled with higher turnover items. FMCGs have a short shelf life because of high consumer demand e.g., soft drinks and confections or because they are perishable e.g., meat, dairy products, and baked goods.

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Fast-moving consumer goods (FMCG), also known as consumer-packaged goods (CPG) .Examples include non-durable household goods such as packed foods, beverages, toiletries, candies, cosmetics, dry goods, and another consumable.

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Creative Commons Attribution 4.0 and The Open Definition

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This abstract delves into the intricate tapestry of cultural symbols in Telangana, where history, tradition, and identity are intricately woven together. From the iconic Charminar to the rhythmic Bathukamma dance, each symbol holds a story that reflects the region's rich heritage. The Golkonda Fort and Telia Rumal art serve as echoes of bygone eras, embodying the resilience and adaptability of the people. These symbols act as mirrors reflecting Telangana's diverse essence, cultivating a sense of belonging and pride among its populace. Bridging the gap between past and present, they knit together the people's heritage while embracing progress. This exploration underscores the profound importance of these symbols in shaping Telangana's cultural identity, nurturing unity, and preserving customs across generations.

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Telangana, Cultural symbols, Heritage, Identity, Tradition, History, Cultural identity

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Creative Commons Attribution 4.0 and The Open Definition

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The COVID-19 pandemic has brought major challenges to health care systems and public health policies globally and it required novel treatment as well as prevention strategies. Individuals with addiction come under a high risk for infection. In various studies, it has been observed that alcohol and tobacco consumption increases the risk of acquiring infections. The magnitude of the problem of drug addiction is very high in the Indian population. Hence, it is a vulnerable population to acquire this infection. This study is to understand the influence of addiction and non-addiction on synthesis of IgG antibodies for SARS-CoV-2 among Malegaon urban area population. The researcher has analysed the research with Chi-square without Yates correction for learning statistical relevance Chi squared equals 16.362 with 1 degree of freedom and two-tailed P value is less than 0.0001 The association between rows (groups) and columns (outcomes) is considered to be extremely statistically significant

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: Addiction, Antibodies, Covid-19, SARS-CoV-2, IgG, Antibody, ELISA, Malegaon.

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Respectful maternity care refers to the process of providing care of all women in a way that maintains her dignity, privacy, confidentiality, freedom from mistreatment, informed consent and continuous support during labour and childbirth. RMC not only ensures positive outcome during pregnancy but also promotes cognitive development of babies later in life. It helps reduce preventable maternal and newborn mortality, morbidity and stillbirths associated with care during delivery in labour room. The study aimed to assess the level of maternal satisfaction, to correlate the domains, and to associate the level of maternal satisfaction with their selected demographic and obstetric variables. Descriptive research design was used for the present study with a sample size was 50 postnatal mothers who were admitted in labour room at SMVMCH and was selected by using purposive sampling technique. Instrument was used to assess the level of maternal satisfaction by using semi-structured questionnaire adapted from Person-Centered Maternity Care Scale. The findings of the study revealed that Frequency and percentage wise distribution of level of maternal satisfaction among postnatal mothers on respectful maternity care shows that out of 50 postnatal mothers, majority 32 (64%) of them had satisfied level of maternal satisfaction, 12 (24%) of them had slightly satisfied level of satisfaction and 6 (12%) of them had dissatisfied level of maternal satisfaction and the mean and standard deviation were (21.26+5.886) respectively. A positive correlation exists between the domains of respectful maternity care such as dignity & respect, Communication and autonomy, supportive care, privacy & confidentiality, trust, facility & environment. The demographic variables such as age of participants and obstetric variables such as neonatal outcome and relationship of birth companion and status of episiotomy has shown statistically significant association between the level of maternal satisfaction among postnatal mothers on respectful maternity care. The researcher concluded that the level of maternal satisfaction on respectful maternity care among postnatal mothers is on rise because of staff nurses who treated them in a positive way.

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Creative Commons Attribution 4.0 and The Open Definition

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Respectful maternity care, level of maternal satisfaction, Person-Centered Maternity Care Scale

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Creative Commons Attribution 4.0 and The Open Definition

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Binge Eating Disorder (BED) is a prevalent and complex overeating condition characterized by excessive food consumption beyond one's control. This disorder has been exacerbated by the COVID-19 lockdown, affecting individuals of diverse ages and occupations. Shockingly, 97.5% of surveyed participants reported experiencing binge eating episodes, emphasizing its widespread impact. Emotional triggers, disordered eating patterns, and technology's influence were prominent factors contributing to BED. Lifestyle modifications are crucial for overcoming this disorder, including adopting a balanced diet, reducing processed foods, opting for healthy snacks, preserving nutrient content, staying hydrated, choosing healthy fats, regular exercise, avoiding meal skipping, regulating sleep, and establishing fixed meal times. Seeking professional support is also vital in the journey towards recovery. Understanding BED's prevalence, causes, and treatment options is essential for addressing this pressing issue.

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Binge Eating Disorder (BED), Overeating condition, Emotional states, Coping mechanism, Eating disinhibition, Perfectionism, Occupational variety, Emotional triggers

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Creative Commons Attribution 4.0 and The Open Definition

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This comprehensive research article explores the transformative impact of the internet and digital technologies on the business landscape, giving rise to thriving online businesses, or e-businesses. The article delves into various online business models, highlighting their operational mechanisms with relevant examples. The categories covered include e-commerce models (B2C, B2B, C2C, and C2B), subscription-based business models (subscription boxes, streaming services, and SaaS), and innovative approaches (drop shipping, affiliate marketing, e-learning platforms, digital product sales, content monetization, online consultation services, and virtual events). The article also analyses the pre-COVID and post-COVID state of online businesses in India, focusing on e-commerce, subscription-based models, and innovative approaches, along with the contributing factors to their growth. Furthermore, the article investigates legislative measures and initiatives undertaken by the Indian government to safeguard consumer interests in the expanding online business environment, including the Consumer Protection Act, Information Technology Act, Consumer Protection (E-Commerce) Rules, and the National E-Commerce Policy. Complementary initiatives are explored, such as the National Consumer Helpline, consumer rights awareness campaigns, collaborative efforts with e-commerce platforms, and the creation of regulatory bodies. The article concludes by advocating for enhanced transparency, streamlined dispute resolution, consumer education, and secure payment methods, and vigilance against phishing scams to bolster consumer interests in the evolving online business landscape.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Internet, digital technologies, e-business, online business models, e-commerce, subscription-based business models, innovative approaches, India, consumer protection, legislative measures, consumer interests, online transactions, cyber security, consumer education.

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Creative Commons Attribution 4.0 and The Open Definition