Volume 12 | Issue 5

 Abstract

Product reviews are valuable for upcoming buyers it helping them to make decisions. Sentiment analysis recognized user views, emotions, opinions and arguments from different online products, brands. The big challenge of sentiment analysis is lack of sufficient classified data in the field of Natural Language Processing (NLP)[1]. Recently deep learning has emerged as an effective means for solving sentiment classification problems. A neural network intrinsically learns a useful representation automatically without human efforts. However, the success of deep learning highly relies on the availability of large-scale training data. It propose a novel framework, named Net Spam[2], which utilizes spam features for modeling review datasets as heterogeneous information networks to map spam detection procedure into a classification problem in such networks. As the result of this weighting step, it can use fewer features with more weighs to obtain better accuracy with less time complexity. In addition, categorizing features in four major categories helps us to understand how much each category of features is contributed to spam detection. A weighting algorithm is employed to calculate each feature importance. These weights are utilized to calculate the final labels for reviews using both unsupervised and supervised approaches.

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Sentiment analysis, NLP, deep learning, neural networks, Net spam.

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Throughout history, the business world has witnessed numerous companies leverage mergers to achieve strategic dominance. These mergers, which involve the consolidation of two separate entities into a single, unified organization, present a multitude of potential benefits. The most prominent driver for mergers is often the desire to gain a significant edge in the market. By combining resources and customer bases, the merged company can establish a more formidable presence, potentially outpacing competitors. Additionally, mergers can unlock exciting opportunities for product diversification and geographic expansion. The newly formed entity can leverage its combined expertise and resources to introduce a broader range of products or services, or even tap into entirely new markets that were previously inaccessible. Furthermore, mergers can lead to significant cost savings through economies of scale. By streamlining operations, consolidating resources, and potentially eliminating redundancies, the merged company can achieve greater efficiency in areas like production, marketing, and administrative functions. Finally, some mergers are driven by a strategic desire to bridge technological gaps or acquire valuable expertise.

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Pre Merger, Post Merger, Significance of merging process, Interpretation of merging profitability, Case Studies

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By combining multispectral imagery from Sentinel-1 and Sentinel-2 satellites with polarized Synthetic Aperture Radar (SAR), this research presents a cascaded deep network model for agricultural field border demarcation. The model uses a cutting-edge method that combines edge detection and semantic segmentation to improve the accuracy of recognizing agricultural boundaries. TensorFlow and PyTorch are used to create models in this study, which covers a wide range of geographical and climatic zones. Classification reports and Intersection-over-Union (IoU) scores are examples of evaluation metrics. The results demonstrate the usefulness of the model by giving accurate field boundaries that may be used in precision farming. Suggestions include integrating topographical data for improved accuracy, improving model design, and enriching datasets even further.

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Sentinel-1, Sentinel-2, deep learning, multispectral pictures, agricultural borders, SAR remote sensing, precision agriculture, dataset enrichment

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Gynotext and diasporic women writers on women are so closely related that ecriture feminine seems to be solely concerned about the marginalization of women in the patriarchal mainstream setup. In this regard 'gynotext' is nothing but gynocriticism in velvet gloves. Like Julia Kristeva, other leading French feminist critics also associated with feminine writing with the female body. Helen Cixous, for example, posited an essential connection between women's bodies, whose sexual pleasure has been repressed, and women's writing. "Write yourself. Your body must be heard", Cixous urged in an essay entitled "The Laugh of the Medusa" (1976). Cixous believed that recognizing this connection would enable women not only to realize their sexuality but to enter history and move toward a future based on 'feminine' economy of giving rather than the 'masculine' economy of hoarding. Luce Irigaray focused on women's sexual pleasure (jouissance), arguing that it could not be expressed by the dominant masculine language. Irigaray explored the connection between women's sexuality and women's language through the following analogy in a book entitled Ce Sexe qui n'en est pas un (This Sex Which is not One, 1977): just as women's jouissance is more multiple than men's unitary, phallic pleasure, so 'feminine' language is more diffusive than its 'masculine' counterpart.

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Cross-currents of Subaltern & Gyno-critical perspectives in Arudhati Roy's The God of Small Things : An Analysis

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This project is aimed at developing a Repository and each Engine for alumni of the college, which is of importance to a college. The Alumni Information Database is a Web application that can be accessed throughout and students can connect to the alumni of the college. The Alumni Management System is a comprehensive software solution designed to streamline and enhance the management of an institution's alumni network. This system leverages modern technology to create a seamless platform for alumni engagement, communication, and data management. It serves as a bridge between the institution and its graduates, fostering a sense of community and facilitating meaningful interactions. Alumni Directory: The system maintains a centralized database of alumni roles, containing information such as contact details, educational history, career achievements, and personal interests. Event Updates: Alumni can be notified of upcoming reunions, networking events, and seminars in the news section. Event details, including date, time, and location, are easily accessible. Communication Tools: The system provides various communication channels, including email, newsletters, and discussion forums, allowing administrators and alumni to stay connected. Alumni can also connect for professional networking. Event Updates: Alumni can be notified of upcoming reunions, networking events, and seminars in the news section. Event details, including date, time, and location, are easily accessible. Communication Tools: The system provides various communication channels, including email, newsletters, and discussion forums, allowing administrators and alumni to stay connected. Alumni can also connect for professional networking. Job Placement: Alumni can post job opportunities, and recent graduates can access these listings to find suitable employment within the alumni network

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Alumni, Management System, Database for College Alumni

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The application of modern computer software in chemistry education establishes the groundwork for increased interest in chemistry among students and researchers, as well as for the transmission and consolidation of knowledge. Chemical computer programs are used to draw both simple and complex chemical compounds, as well as to calculate complex chemical equations and processes. This makes it possible to understand complicated systems biologically. This review covers widely used, mostly free tools that may be used for locating, categorizing, and displaying characteristics of various materials as well as for learning chemistry. Structured interpretation algorithms and strategies designed to aid in the description of unknown substances are also analysed and discussed in this work.

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Chemdraw Software, Cambridge soft, ACD, Chemical Drawing Software

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The main purpose of this study is to prepare a cosmetic containing gel. Using herbal ingredients to combat acne, wrinkles and control oil production is called natural or herbal cosmetics. Herbal cosmetics often contain plant ingredients with antibacterial, antioxidant and anti-aging properties. While herbal cosmetics are the safest products for normal use and have no side effects, cosmetics are products that affect the organic products of the skin. Coffee, aloe vera and honey were used in this study. The formulated scrub undergoes a series of evaluations including physical and chemical stability, pH, spreadability, particle size analysis, and microbial testing. Sensory evaluation and user acceptability trials are also conducted to gauge consumer satisfaction and product efficacy. The results indicate that the herbal face scrub is stable, safe, and effective for regular use, offering a natural and eco-friendly option for skincare enthusiasts. The study concludes that the incorporation of herbal ingredients in face scrubs can meet consumer demand for natural skincare products while maintaining high standards of performance and safety. Tissue gels are evaluated in terms of many parameters such as appearance, pH, viscosity. It meets all the necessary features such as spreadability, washability, resistance to irritation. That's why the formula has been developed to act as a powerful scrub to keep skin looking healthy and radiant.

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Scrub, Exfoliation, Consistency, Spreadability , Antioxidant, Anti Microbial, Less Abrasive, Glow, Herbal Scrub, Skin Exfoliating, Dead Skin Cells, Reduce Acne.

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Transformer is one of the important components of the power system, capable of transmitting and distributing the electricity generated by renewable energy sources. Dissolved Gas Analysis (DGA) is one of the effective techniques to diagnose early faults in oil-immersed transformers. It correlates the concentration and ratio of dissolved gases with transformer faults. Researchers have proposed many methods for fault diagnosis, such as double ratio method, Rogers method, Duval triangle method, etc., but all of them have some problems. Based on the strong data mining capability and good robustness of AI techniques, many researchers introduced AI techniques to mine the features of DGA data. According to the characteristics and scale of DGA data, researchers select appropriate AI techniques or make appropriate improvements to AI techniques to improve diagnostic performance. This paper presents a systematic review of the literature on the application of artificial intelligence techniques for DGA-based diagnosis and for solving intractable problems in early transformer fault diagnosis, which include neural networks, clustering, support vector machines, etc. In addition to reviewing the applications of these intelligent techniques, the diagnostic thinking proposed in this literature, such as the introduction of temporal parameters for comprehensive analysis of DGA data and the extraction of optimal features for DGA data, is also reviewed.

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fault diagnosis, power transformer, artificial intelligence, data mining, dissolved gas analysis

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"Towards Strategic Business Value: A Comprehensive Research Agenda for Big Data and Business Analytics Integration".

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Automated detection and localization of brain tumors in MRI scans are essential tasks in clinical practice, facilitating early diagnosis and treatment planning. Recent advancements in deep learning techniques have led to the development of efficient and accurate models for this purpose. You Only Look Once (YOLO) models have shown promising results in detecting brain tumors with high precision and recall. This abstract presents a summary of recent research efforts utilizing YOLO-based models for brain tumor detection and localization. These studies leverage transfer learning, fine-tuning approaches, and innovative architectural designs to train models on annotated MRI datasets. Experimental analyses demonstrate the robust performance of these models, achieving notable metrics such as precision, recall, and mean average precision (mAP). Furthermore, computational analyses indicate the efficient resource utilization of these models, making them suitable for deployment across diverse computing platforms. Despite architectural complexities, these models exhibit stable convergence during training, highlighting their reliability and effectiveness in medical applications. Overall, the findings underscore the potential of YOLO-based models as robust and efficient tools for automated brain tumor detection, paving the way for improved diagnostic accuracy and clinical decision-making in neuroimaging.

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Brain Tumor, MRI, YOLO

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There is a continuous pattern of significant symptom overlap between anxiety and depression in both clinical and epidemiological investigations. Furthermore, it has been noted that there is a chance of diagnostic conversion between anxiety and depressive illnesses in a longitudinal perspective. There must be a depressed mood or decreased interest in activities, along with several anxiety symptoms and other depression symptoms. There must be a depressed mood or decreased interest in activities, along with several anxiety symptoms and other depression symptoms. Significant distress or impairment in essential areas of functioning, such as personal, family, social, educational, and occupational domains are caused by the symptoms. It has been discovered that certain neurochemical changes, which are unrelated to the clinical diagnosis, occur in conjunction with the presence of mental health symptoms. The method is similar to the idea of target symptoms, which was first introduced by Freyhan in 1979. Studies on sertraline, fluvoxamine, and citalopram have shown that SSRIs are effective in treating MADD. Similar outcomes were also observed with Setran, a natural active ingredient.

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MADD, CMHD, ICD, SSRI'S, 5-HT1A, FMM

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Generally speaking, consumer behaviour is the study of the processes that individuals or groups go through in making their purchasing choices in order to satisfy their needs. Usually the buying behaviour takes many forms of consumer's choices that can vary depending on a broad set of factors such as: earnings, demographics, social and cultural factors. Beside these basic internal factors which are considered to be influential to the buying behaviour, there are also a set of factors that would be simulated by the external circumstances in the environment surrounding the consumer. In this research, we have done the survey of the consumer buying behavior and preferences of the consumers in the Home appliances market of Haier, which are used by people of all ages. After this research we shall came to know how people perceives these products on the variables like price, quality, advertisement, satisfaction, taste, packaging, brand loyalty etc.

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Keywords :-Electronic Goods, Home appliances, Consumer Behaviour, Advertising

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% loksZn;] mi;ksfxrkokn] vk/kh vkcknh] ljdkjh ;kstuk;sa] Hkkxhnkjh

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In the period of rapid-fire digital communication, the need for secure and non-public information exchange has come consummate. Steganography, the art of concealing information within inoffensive cover media, has surfaced as a promising fashion to achieve covert communication. This exploration paper presents a comprehensive study on the concealment of both images and textbook using steganography. The primary ideal of this study is to explore and dissect colourful steganographic ways for concealing information within images and textbook, icing imperceptibility and robustness. The exploration delves into both traditional and advanced steganographic algorithms, including spatial sphere ways, frequence sphere ways, and cold-blooded approaches. The paper examines the strengths and sins of different steganographic styles, considering factors similar as cargo capacity, imperceptibility, resistance to discovery, and computational complexity. Likewise, the impact of image and textbook characteristics on the effectiveness of steganography is delved, furnishing perceptivity into the optimal choice of ways for specific scripts. To estimate the performance of the proposed ways, a series of trials are conducted using real- world datasets. colourful criteria, similar as peak signal- to- noise rate (PSNR), structural similarity indicator (SSIM)(1), and textbook deformation analysis, are employed to measure the quality and invisibility of the concealed information. The exploration findings give a relative analysis of the different ways and punctuate their connection in different scripts. In addition to the specialized analysis, the exploration also discusses the ethical counteraccusations and implicit abuse of steganography for vicious purposes. The paper highlights the significance of balancing security and sequestration enterprises with societal and legal scores. Overall, this exploration contributes to the advancement of steganographic ways by offering a comprehensive analysis of image and textbook concealment styles. The findings serve as a precious resource for experimenters, interpreters, and security professionals in developing robust and effective strategies to guard sensitive information in colourful operations.

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concealment, hiding, MSB, audio, image

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The goal of this study is to prepare a herbal hair mask that fights dandruff by utilizing a variety of herbs, including Jatamansi, Amla, Shikakai, Hibiscus, Ginger, and Aritha. The direct mixing approach was utilized to prepare the mask. The herbal mask's formulation was assessed using a number of criteria, including stability studies, pH, and antimicrobial activity. The final product's evaluation parameters were discovered to be within allowable bounds. Therefore, it can be said that using a prepared hair mask helps to prevent dandruff and promote healthy hair development.

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Amla, Jatamansi, Hibiscus, Ginger, Aritha, Antimicrobial activity evaluation, Herbal Anti-dandruff hair mask.

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The total chromatic number of a graph G is defined to be the minimum number of colors needed to color the vertices and edges of a graph in such a way that no two adjacent vertices, no two adjacent edges and no each edge and end vertices are given the same color. In this paper, we have obtained the total coloring and total chromatic number of comb product of tadpole graph with path, star, fan, and cycle.

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tadpole graph, path, star, cycle, fan, comb product, total chromatic number.

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This research paper investigates the level of investor awareness and behavior towards financial assets in Dharashiv District, Maharashtra (M.H). Using a mixed-methods approach, data was collected through surveys administered to a sample of residents in the district. The study assesses various demographic factors influencing investor behavior, such as gender, age, education, occupation, and income level. Additionally, it examines participants' awareness of different financial assets, sources of information for investment decisions, and perception of risk and return. The findings provide valuable insights into the investment preferences and decision-making processes of individuals in Dharashiv District, offering implications for financial education initiatives and policy development.

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Investor awareness, Investor behaviour, financial assets, financial literacy

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This dissertation investigates the optimal strategies used by HR departments in the hotel sector in India. The research examines the strategic significance of HR management in improving organizational performance, employee engagement, and client pleasure in hospitality enterprises. The dissertation seeks to offer valuable insights into effective HR strategies and their implications for organizational success in the dynamic and competitive Indian hospitality industry. This will be achieved through a thorough examination of literature, analysis of case studies, and empirical research. The first segment of the dissertation presents a comprehensive analysis of the hospitality business in India, emphasizing its importance as a primary driver of the nation's economy and workforce. The following sections explore the significance of HR management in the hospitality industry, highlighting its function in recruiting, maintaining, and nurturing skilled individuals to address the changing requirements of visitors and stakeholders. The dissertation explores theoretical frameworks and models in HR management, including High-Performance Work Systems (HPWS), Resource-Based View (RBV) theory, and Social Exchange Theory. It aims to provide theoretical insights into successful HR strategies specifically in the hospitality industry. This article examines the issues that HR departments in the hotel sector face, including talent retention, labor expenses, and regulatory compliance. It also provides practical ideas for tackling these challenges and improving HR procedures. The dissertation concludes by highlighting the implications for HR management in the Indian hospitality industry. It emphasizes the importance of implementing employee-centric strategies, aligning with organizational values, adopting technology-enabled solutions, and promoting diversity, inclusion, and sustainability initiatives. The study highlights the crucial role of HR management in generating organizational performance and provides valuable insights for future research and practice in the subject.

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Keywords: HR management, hospitality industry, Indian context, best practices, organizational performance, employee engagement, guest satisfaction, strategic alignment, challenges, implications.

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The rebel poet of India under Nazrul's rule, his revolt was against the tyrannical British rulers against any discrimination and unfair oppression as well as against all kinds of domestic superstitions and the machinations of incompetent leadership masked with religious hypocrisy. This humane poet is determined in his human conscience that the Englishman will not give back his independence to the demand of Swaraj rights without any persuasion. This freedom must be brought about by revolution and rebellion, by the awakening of caste-free communal unity throughout India. Therefore, Nazrul's rebellious spirit was not satisfied by being limited to the beautiful words of poetry, he had to become a journalist and editor of a newspaper to become a rebel by direct pen rebellion. His rebellion started from 'New Yuga' directly in 'Dhumketu', erupted in revolutionary awakening 'Langle' (Gonbani) protesting the rights of the poor laborers - from Bengal to the whole of India, he inspired everyone to unite for the freedom of Swaraj. His fearless drive as a journalist and editor gave the nation a direction of strength. And here Nazrul Sarthak as a poet as well as a journalist editor of various newspapers.

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Nabajug Dhumketu Langal Ganamukti Biplab-Bidroha Swaraj- Swadhinata Atmamukti Biswamanatabodh.

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A building with several floors above ground is referred to as multi-story. The goal of multi-story buildings is to save money by expanding the building's floor space without expanding the surrounding land area. An Earthquake can cause damage or collapse of buildings if not designed for lateral loads. The Shear walls are the structural elements which counters the effect of lateral loads such as with a symmetric distribution of stiffness and strength in plan undergo coupled lateral and tensional motions during earthquakes stiffness. The necessity to assess seismic performance buildings was highlighted by the recent earthquakes, which resulted in significant damage or collapse of numerous reinforced concrete structures. Analysis of multi storey building using response spectrum method or analysis in STAAD Pro. Software using IS Code 13920 for RSA.

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Seismic Analysis, Multistoried Building, STAAD Pro. , RSA.

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