Volume 12 | Issue 4

 Abstract

The concept of "post-truth" - where objective facts are less influential in shaping public opinion than appeals to emotion and personal belief - has become increasingly prevalent in the modern era. This paper examines how the post-truth phenomenon has manifested in recent Indian English literature. Through analysis of works by authors such as Arundhati Roy, Amitav Ghosh, and Kiran Desai, the study explores how Indian writers are grappling with the blurring of truth and fiction, the privileging of subjective narratives over empirical evidence, and the role of literature in an age of political polarization and eroding trust in institutions. The paper argues that Indian English writings provide a valuable lens through which to understand the complex interplay of truth, power, and storytelling in the post-truth era.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

post-truth, Indian English literature, Arundhati Roy, Amitav Ghosh, Kiran Desai

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

It is rightly said" Teaching is the one profession that creates all other professions". Teacher Educations main aim is to produce capable and efficient teachers. Teacher education programs give training in behavioral aspects and also in pedagogy. To enhance the quality of teacher education, the present government decided to revamp it by introducing a comprehensive National Educational Policy-2020. The vision of NEP-2020 is to bring reform in the existing teacher education structure and practices by moving it in to the university system. This move envisages to situate teacher education in multidisciplinary space where in teachers can acquire a blend of high quality content pedagogy and research. The current paper seeks to analyze the National Educational Policy -2020 in the context of paradigm changes in terms of opportunities and challenges in the teacher education sector.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

National Education Policy-2020 ,Paradigm shift, Opportunities and Challenges, Teacher Education

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study focusses on the scheme Pradhan Mantri Mudra Yojana (PMMY). (PMMY) scheme is a flagship project of the Government of India aimed at promoting financial inclusion and facilitating credit access for small and micro-business across the country. To study the socio-economic profile of the government. To study the awareness level of among the respondents about the PMMY scheme. This study includes all participants in the Coimbatore district. The total number of respondents chosen for this study is 242. This study concluded that therefore, the government of India's Pradhan Mantri Mudra Yojana (PMMY) remains a significant effort that extends financing to millions of underfunded micro units nationwide.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Mudra yojana, Micro finance, Mudra loan, Socio economic development

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present study investigates the legal basis and consequences of geographical indications (GIs) in India, with a specific focus on the protection of indigenous products and the conservation of cultural heritage. It looks at the laws that control GIs, examines how they affect traditional and rural businesses, and weighs the benefits and drawbacks of utilizing GIs for sustainable tourism, economic development, and cultural preservation. The report highlights how crucial it is to achieve a balance between cultural heritage and intellectual property rights in order to advance inclusive prosperity and fair benefit distribution. By examining case laws and evaluating the potential and obstacles, this research aims to contribute to the legal understanding of GIs' role in Indian regional development and cultural preservation, offering insights for policymakers, stakeholders, and communities.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

geographical indications, cultural heritage, traditional knowledge, India , regional development, opportunities, challenges, legal framework, cultural development

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The lives of individuals are undergoing significant transformations due to technological, cultural, economic, and social developments. Consequently, people are becoming increasingly occupied with their frantic routines. Individuals are relocating to urban areas for educational purposes, competitive preparation, or employment opportunities. In our fast-paced and hurried society, individuals are sacrificing the quality of their diet by consuming unhealthy street food, which can lead to a range of health problems such as diabetes, hypertension, cancer, obesity, and digestive disorders. Consequently, people are unwilling to consume unhealthy meals regularly. Considering these individuals' requirements, the tiffin service provider ensures the provision of fresh and nutritious meals. This study aims to comprehensively analyze tiffin services industry, utilizing primary and secondary data from reputable sources such as journals, publications, newspapers, and websites. This empirical research paper examines the advantages and disadvantages of the tiffin service. The findings of this study will provide valuable insights for users of the tiffin service, enabling them to gain a comprehensive understanding of its virtues and drawbacks.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Tiffin Service, Tiffin Service Provider, Tiffin Service User, Dabbawalla

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Human capital is of a high concern for companies' management where their most interest is in hiring the highly qualified personnel which are expected to perform highly as well. Human Resources Management (HRM) has become one of the essential interests of managers and decision makers in almost all types of businesses to adopt plans for correctly discovering highly qualified employees. Accordingly, managements become interested about the performance of these employees. Results show that professional skill development programs are needed in order to prepare employees to perform their tasks more efficiently. The knowledge flow model of the Open-source tool is also used to frame the elements. To get a highly accurate model, several experiments were executed based on the previous techniques that are implemented tool for enabling decision makers and human resources professionals to predict and enhance the performance of their employees. In our project we have used algorithms like Convolution Neural Network (CNN) as existing and Recurrent Neural Network (RNN) as proposed system. All are measured in terms of accuracy. From the result obtained it is proved that proposed Recurrent Neural Network (RNN) performs well than other existing algorithms.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Human capital management, Employee performance, Professional skill development,Human resources management (HRM), Neural network algorithms, Convolutional Neural Network (CNN), Recurrent Neural Network (RNN),Accuracy measurement ,Decision making Knowledge flow model.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

B.Ed trainees from two central universities are the sample of this study. The main objective of the research is to compare the attitudes with regard to bullying situations. A comprehensive questionnaire was administered to 115 Pre-service Teachers from BBAU and 90 from BHU. The finding shows that BBAU B.Ed trainees have higher empathy about bullying and BHU B.Ed trainees have lower sympathy with bullied disabled students. It is recommended that teachers, especially those training to become B.Ed educators, receive specialized training on handling bullying situations, both in general and when dealing with disabled students.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Bullying, B.Ed trainees, disabled students

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The paper throws light on the significance and relevance of Secularism in India. Secularism in India denotes the separation of state from religion.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Secular , Sovereign , Constitution , Preamble , Article.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Time series forecasting plays a critical role in predicting future trends . In this research paper, we present a multi-model approach to improve the accuracy and robustness of time series forecasting. Our methodology involves integrating two powerful models, Long Short-Term Memory (LSTM) and Seasonal Autoregressive Integrated Moving Average (SARIMA), to capture complex temporal patterns . We take input as real-world traffic data from different junctions and employ a comprehensive pipeline for data preprocessing, including data selection and sequence generation. Our study focuses on four junctions, and for each junction, we individually train LSTM models, followed by SARIMA models for comparison and we have displayed the analysis of both the models. The LSTM models are designed to capture long-term dependencies in the time series data, while the SARIMA models are tailored to handle seasonality and autocorrelation. We implement a custom sequence generation process and split the dataset into training and testing sets for model evaluation. The LSTM models are trained using Pytorch, optimizing them for accurate short-term predictions. Our results show that the combination of LSTM and SARIMA models yields superior forecasting performance compared to using each model individually. We present a detailed analysis of the forecasted results, including Root Mean Square Error (RMSE) calculations and visualizations to demonstrate the effectiveness of our multi-model approach. This research contributes to the field of time series forecasting by showcasing the benefits of combining deep learning and classical statistical methods. The proposed approach provides a flexible and robust framework applicable to various time series prediction tasks, offering improved accuracy and reliability in forecasting future trends.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Time series forecasting ,multi-model approach, accuracy, robustness, Long Short-Term Memory (LSTM), Seasonal Autoregressive Integrated Moving Average (SARIMA), real-world traffic data, data preprocessing, junctions, LSTM models, SARIMA models, long-term dependencies, seasonality, autocorrelation, sequence generation, training, testing sets, Pytorch, short-term predictions, forecasting performance, Root Mean Square Error (RMSE), analysis, deep learning

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Human body is prone to the infection and disorders of various diseases. A disease is an abnormal condition that affects the structure or function of part or whole of the body and is usually associated with specific signs and symptoms. A disease may be caused due to coming in contact with an infectious pathogen or it may be a bodily disorder. In earlier times, the life span of humans remained short due to unavailability of treatment for diseases and disorders. But medical science has changed the course of society and played a vital role in securing human health. Among the treatment methods, the extremely useful and potent substance in curing a disease is vaccine. The vaccines are the substances that are most difficult to invent for any institution/organization or for any pharma company but if a vaccine is invented for a particular disease, the lives of millions can be saved by it. The use of vaccines against an infectious disease as a means to prevent the infection caused by the microbe may stop the biological tragedies like epidemics and pandemics. The continuous immunization programs against a particular disease may lead to its eradication. In order to recover the expenses caused during the invention of the vaccine, the inventor causes their vaccines to be patented which ultimately create obstruction in technology transfer of vaccines. Patented vaccines bring fortune to the inventing agency in the form of exclusive rights like licensing. Every licensing agreement to manufacture the vaccine may not come with the technology transfer of that vaccine leading to increase in the price of vaccine and hindrance caused in the access to vaccine. For every vaccine that is invented, clinical evaluations are required to be conducted in accordance with the guidelines and regulations prescribed by the WHO expert committee on biological standardization.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Licensing, Immunization, Technology transfer, Vaccine, Microorganism

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

India's legislative framework on climate change takes a multipronged approach to tackling the intricate problems that climatic variability and environmental degradation present. An outline of the main elements of India's legal system is given in this abstract, together with information on its development, advantages, and shortcomings. The abstract starts off by looking at India's international obligations, such as the Paris Agreement, and its constitutional provisions. It then goes into legislative enactments like the Environment Protection Act and the National Action Plan on Climate Change. It also discusses the role of judicial interventions and regulatory mechanisms in shaping climate-related policies and enforcement. Furthermore, it explores the challenges of implementation, including issues of coordination, resource allocation, and stakeholder engagement. Through a comprehensive analysis, this abstract elucidates the significance of a robust legal framework in facilitating India's transition towards climate resilience and sustainable development.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Climate change,Regulatory compliance,Climate Justice

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The complex impacts of disease stages and disease symptoms on spectral characteristics of the plants lead to limitation in disease severity detection using the spectral vegetation indices (SVIs). Although machine learning techniques have been utilized for vegetation parameters estimation and disease detection, the effects of disease symptoms on their performances been less considered. In Agriculture, leaf diseases have grown to be a dilemma as it can affect significant diminution in both quality and quantity of agricultural income yield. The vegetation indicators from hyper symbol of data have been shown to be effective for indirect monitoring of plant leaf diseases. However, a restriction of this indication is that they cannot distinguish different diseases on crops. Thus, automated recognition of disorder on leaves plays a crucial role in agriculture fields. It imparts a simple and computationally efficient method used for leaf disease identification and classification using digital image processing and machine vision technology. Different type's pests (brown rust, yellow rust, anthracnose, holospot and Powdery Mildew) in wheat, rice, corn, Barley were used. The new optimized spectral indication was derived from a necessary image conversion method. The most and least relevant wavelengths for different diseases were first extracted from leaf spectral data using the GLCM and ANN algorithms.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Disease stages Disease symptoms Spectral characteristics Spectral vegetation indices (SVIs) Machine learning techniques Leaf diseases Digital image processing Machine vision technology GLCM algorithm ANN algorithm

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Partial shade conditions (PSC) are an unforeseen problem for large-scale solar photovoltaic (PV) systems. PSC may reduce the PV system's performance by producing repeated peaks in the power-voltage (P-V) characteristics. For optimal use, the PV system should be run at its global maximum power point, or GMPP. This paper proposes a system based on Flying Squirrel Search Optimization (FSSO) for the tracking of GMPP. The original FSSO is changed to update the squirrel position in the absence of a predator in order to achieve an effective adoption with a significantly shorter convergence time. A quasi-Z-source converter is used in an experimental study of the suggested technique to extract the highest power under PSC. Higher tracking efficiency, a non-oscillatory steady state response, and fewer transients are produced by the suggested design. Experimental and simulation The suggested technique works better than other well-known maximum power point tracking (MPPT) strategies based on Perturb & Observe (P&O), Particle Swarm Optimization (PSO), and Grey Wolf Optimization (GWO), according to investigations conducted under varied shading patterns.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Flying squirrel search optimization (FSSO), Maximum power point tracking (MPPT), partial shaded conditions (PSC), photovoltaic (PV) system

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Brain tumors are one of the main causes of most tumors deaths international. Early detection of mind tumor is tough due to the fact most tumors-specific symptoms arise best in superior degrees and there may be no dependable screening device to pick out high-chance sufferers. But if brain most tumors is detected early, it can be cured. This project tries to stumble on brain tumors from CT pics. It uses a number picture processing techniques and architectural fashions to stumble on tumors. After image pre- processing, the architectural version is used to locate the tumor area in the photo. The tumor detection accuracy throughout education is approximately 98.7%.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Brain Tumor, MRI, Deep Learning, Tumor, CNN

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study delves into the challenges encountered in material handling management within the transformer manufacturing industry. Material handling plays a critical role in the efficiency and productivity of transformer production processes. The research aims to identify and analyze the key challenges faced by manufacturers in handling materials throughout the production cycle. Factors such as inventory management, logistics, equipment handling, and workforce training are explored to understand their impact on operational efficiency and cost-effectiveness. By addressing these challenges, the transformer manufacturing industry can optimize material flow, reduce operational bottlenecks, and enhance overall productivity.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Material handling, transformer manufacturing, challenges, inventory management, logistics, equipment handling, operational efficiency, productivity.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

It is apparent that in a patriarchal society, a woman has always struggled for her existence and identity. Feminism can be defined as the advocacy of the rights of women in social, political and economic spheres. Women have been struggling to achieve equality of status in the society mainly dominated by the men. This struggle has led to various waves of feminism all over the world. Cyber feminism can easily be understood as a methodology to build a relationship between women and the Internet. Even though women have always played major role in the development of the society, they have received the least recognition. Thus, cyber feminism is a way of empowering the women by expanding their knowledge of the cyber world. There is a need to change the image of technology so as to incorporate female view. Cyber feminism would lead to women's liberalization in the Cyberspace. However, it can be seen that women are often exploited even in the cyberworld. Women fall preys of gender violence on social media. Cases of sexual violence in virtual world has become cumulative. This paper explores cyber feminism and its impact on the life of women. The paper also focuses on how women are harmed by online harassment, virtual rape and even prostitution on cyberspace, thereby covering various aspects of cyber violence. The use of internet for anti-social purposes such as stalking, harassing, bullying, and so on, should be prevented and the abuse of cyberspace should be discouraged.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cyber feminism, Cyberspace, Liberalization, Cyber Violence, Cyber Obscenity.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Insolvency and Bankruptcy Code (IBC) of 2016 stands as a pivotal legislation in India's legal framework, providing a structured framework for insolvency and bankruptcy proceedings. This paper delves into the impact of the IBC on Small and Medium Enterprises (SMEs) in India, exploring both its positive and negative effects on this vital sector of the economy. While the IBC has introduced streamlined insolvency resolution processes for SMEs, enhancing debt recovery efficiency, it has also posed challenges. The exclusion of SME promoters from the resolution process has complicated the revival prospects for these businesses. The paper suggests a tailored approach within the IBC framework to address the unique challenges faced by SMEs, advocating for a separate resolution regime, provisions for out-of-court settlements, and increased flexibility for SME promoters. These recommendations aim to strengthen the IBC's role in fostering the growth and resilience of SMEs in the Indian economy. The paper also discusses the historical context of insolvency and bankruptcy laws in India, the legal framework of the IBC, and its relevance to SMEs. It highlights the role of the National Company Law Tribunal (NCLT) in managing insolvency cases related to SMEs and the recent amendments to the IBC aimed at providing relief to MSMEs. Through these discussions, the paper offers insights into the challenges and suggestions for enhancing the effectiveness of the IBC in addressing the insolvency issues faced by SMEs in India.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords- Insolvency and Bankruptcy Code, SMEs, PPIRP, NCLT, Insolvency resolution

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Fast and automatic detection of airports from remote sensing images is useful for many military and civilian applications. In this paper, a fast automatic detection method is proposed to detect airports from remote sensing images based on convolutional neural networks algorithm. This method first applies a convolutional neural network to generate candidate airport regions. Based on the features extracted from these proposals, it then uses another convolutional neural network to perform airport detection. By taking the typical elongated linear geometric shape of airports into consideration, some specific improvements to the method are proposed. These approaches successfully improve the quality of positive samples and achieve a better accuracy in the final detection results. Experimental results on an airport dataset, Landsat 8 images, and a Gaofen 1 satellite scene demonstrate the effectiveness and efficiency of the proposed method.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

airport detection, convolutional neural network.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Tamarind is a traditional Indian tree, which can even grow in dry regions of Africa. History of tamarind started at tropical areas of African continents. Tamarind is rich in magnesium and calcium. Banana is a tropical traditional Indian crop. Which has even placed in ancient tamil scriptures as Mukkani. There are more than 150 varieties of Banana. India is the largest producer of Banana. Banana is a good source of fibre and potassium. This project aims to combine these nutritious compositions in presentable way. This study focuses on the preparation of halwa from tamarind and banana, sensory evaluating the different variations and analysing the nutritional benefits of the product. Halwa is prepared using tamarind extract, banana pulp, jaggery, binders like corn flour, and some minor ingredients like cardamom for flavour enhancement. Typical steps in halwa production are pulping, mixing, and heating. Tamarind extract and banana pulp were developed by incorporating various proportions. The halwa was prepared by blending ingredients in four different variations. Variations are made of tamarind extract and banana pulp in the following proportions such as 23.4g of Tamarind pulp with 7.8g of banana pulp, 15.6g of Tamarind pulp with 15.6g of banana pulp, 7.8g of Tamarind pulp with 23.4g of banana pulp, and 1.5g of corn flour, 62.5g of jaggery and 1.5g of cardamom for per 100g of Halwa. Organoleptic evaluation is done by the sensory panelist to select the sample that is more acceptable and preferable in different sensory characteristics. Among them, 7.8g of tamarind extract and 23.4g of banana pulp are the acceptable proportions. This proportion is standardized for the nutrient analysis of the sample. The tamarind halwa obtained more positive responses by obtaining a similar texture and colour of the control.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Halwa, Tamarind, Banana, Micronutrients

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Nowadays due to improvement and challenging situations in bridge design as voided slab becomes more popular .It is most advanced method which will improve productivity and reduce cost and time. Circular voids are often incorporated into concrete bridge decks to reduce their self-weight without greatly reducing their flexural stiffness. However the voids within the structure and the analysis of the structure incorporating voids within the deck slab offers many advantages over a conventional solid concrete slab such as lower total cost of construction, reduced material use, and increased structural efficiency. However, the voids within the structure complicate the analysis of the structure. In this thesis, a manual analysis for both longitudinal and transverse directions of voided slab bridges is done as per the industrial standards. For transverse analysis, the bridge is idealized as a unite and analyzed using STAAD pro software. The detailing of the complicated structure is also included to understand how the reinforcement is placed in the structure.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

is placed in the structure. Keywords -- Voids, Longitudinal Analysis, Transverse Analysis, STAAD Pro, IRC loading(i.e. 70R loading & CLASS AA loading

  License

Creative Commons Attribution 4.0 and The Open Definition