Volume 12 | Issue 5 |

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Alumni, Management System, Database for College Alumni

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Chemdraw Software, Cambridge soft, ACD, Chemical Drawing Software

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Brain Tumor, MRI, YOLO

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

Creative Commons Attribution 4.0 and The Open Definition