Volume 13 | Issue 1

 Abstract

The rapid adoption of automation technology has changed how organizations work repetitively and with high performance. This paper presents a new automation approach that combines artificial intelligence (AI) with robotic process automation (RPA). The proposed AI-powered RPA system addresses issues in areas such as insurance avoidance, payment delay prediction, and vulnerability detection, where traditional RPA systems often fall short. Using machine learning models to identify anomalies and predict payment delays, thereby improving the entire decision-making process. Furthermore, the system is designed to efficiently generate receipts, distribute transactions, and plan by combining business-based rules with intelligent measures. This study evaluates the efficiency, accuracy, and scalability of AI-enhanced RPA systems compared to traditional RPA solutions, highlighting the advantages in dynamic environments and data-driven environments. These studies aim to establish guidelines for the technology and lay the groundwork for the future advancement of smart plugs.

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email automation , finance receipting, robotic process automation

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Alpha hydroxy acids are the organic compound which are used in dermatology for treating and enhancing the skin health and aesthetics. These acids are obtained from natural sources such as fruits and milk. Alpha hydroxic acids have clinical applications on various skin disorders such as Actinic Keratosis, Psoriasis, Scarring, Seborrheic Dermatitis, Hyperpigmentation, Razor Bumps, Eczema, Stretch Marks, Calluses etc. There toxicological concerns are concentration and exposure related. Alpha hydroxy acids have great potential to improve it's scope in medical field.

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Alpha Hydroxy Acids, Dermatology, Citric Acids, Chemical Peels

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The seizure episodes of epilepsy have a considerable effect on the patients whom they occur. The aim of this paper is to demonstrate that the early assessment of machine learning approaches in conjunction with EEG signals can be beneficial in preventing or minimizing these episodes. Such methods particularly include data preprocessing, feature selection for, and classification of EEG signals but not limited to. This study is concerned with methods which allow modeling of the preictal condition, that is the one which occurs close to the onset of seizure. It has been shown that better signal to noise ratio (SNR) can assist in identification of electromagnetic activity and estimation their loss potential. Support Vector Machines (SVM) were among the techniques deployed in machine learning in this approach, precision and sensitivity were the key parameters in determining effectiveness. The methods used here are both simpler and more effective than previously.

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Epilepsy, Seizure Prediction, Neurological Disorder, Electroencephalogram (EEG)

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Our body is made up of tridoshas out of which vata dosha is given more importance due to its Chala, sukshma ,ruksha etc gunas. Our acharyas explain that vata dosha is directly related to our manas and its normal functioning. Maintaining this normalcy of mental functioning has become a big challenge now a days as in contemporary times, we see people have become more and more ambitious and desirous to get name fame and prestigious lifestyle for which they keep on pressurizing themselves. This stress, tension and worry beyond some limit , leads to vitiation of vata dosha further making people more prone to develop Ardita like vataja rogas. In this work an attempt is made to understand how manasika nidanas of contemporary times like chinta, shoka , bhaya, krodha etc render people more vulnerable to ardita like diseases in present life style conditions.

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Manasika nidanas, ardita, Mental health, manas, vata dosha, Chinta, shoka,bhaya , krodha

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Abstract :- Toilet Training is teaching your child to recognize their body signals for urinating and having a bowel movement. It also means teaching your child to use a potty chair or toilet correctly and at the appropriate times. "A study to determine the knowledge and practice on toilet training among mothers of toddler in selected area at urban area Bhopal M.P." The methodology for the study, the research approach, and design for the study, study setting, sample size, sampling technique of data collection, the pilot study and plan for analysis of the data. A descriptive approach was used in this study. Descriptive design is very explorative and it description the phenomenain real life situations. It provides accurate account of the characteristics of particular individuals, situations of groups. So, a research design adapted for this study is descriptive in nature.

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Toddler,Toilet Training Mothers

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ABSTRACT Shoreline change is regarded as a severe issue due to the changing nature of the oceans and its impact on people and land. The notion of "shoreline" refers to the rate at which the shore is eroded or accreted as a result of wave action, sea level rise, or any other risks or processes that influence the land. All natural processes are conserved in order to achieve equilibrium; the coast, as a physical feature, is always changing, and nature strives to maintain its balance. India's coastal regions are known for their diverse ecosystems, high production, and dense population, which have enhanced their importance. The present study has been conducted along the coastal areas of southern Kerala, especially Alappuzha district with the help of multi-temporal satellite images of the years 1973, 1988, 2002, 2018 and 2022. Alappuzha district which is located in the southern region of Kerala faces a significant amount of erosion leading to a greater coastal based vulnerability. The decadal changes in the shortline are evidence that the beaches are eroded at an alarming rate. The Digital Shoreline Analysis System (DSAS) technique is used for calculating the coastal erosion and accretion rates.

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Key words: Digital Shoreline Analysis System (DSAS), Coastal Erosion, Accretion

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Many plants have not been investigated thoroughly, which are used traditionally as a medicine to cure various diseases. Herbal plants play a vital role in the development of new drugs which can be used for various therapeutic indications. Mesua ferrea linn., commonly known as 'Nagchampa' or 'Nagkesar', is one such herbal plant having many potential therapeutic activities. It is used in diseases like rheumatism, asthma, inflammation, fever, dyspepsia, renal diseases, dysentery, bleeding piles, a bacterial and fungal infection. This plant possesses many bioactive chemical constituents like coumarins, xanthones, pyranoxanthones, flavonoids, terpenoids and steroids which can be easily isolated. It can act as precursors on many ailments. These bioactive constituents have many pharmacological activities such as anticancer, antimicrobial, antifungal, anti-inflammatory, anti-arthritis, analgesic, diuretic, anti-hemorrhoid, antiulcer and many more. Almost every part of the plant is reported to have beneficial medicinal properties. But further studies are still needed to explore the pharmacological activities of Mesua ferrea linn. plant so as to gain benefit for the treatment of various diseases. This review highlights the general description, phytochemical profiling, traditional uses and proven pharmacological attributes of Mesua ferrea linn. plant.

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Mesua ferrea, Antimicrobial activity, Nagkesar, Cobra saffron, Ayurveda

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Organizational culture encompasses values and behavior's that "contribute to the unique social and psychological environment of an organization . It is a system of shared values, beliefs, and assumptions, which defines how people behave in organizations. People in organization get influenced by the shared values and makes them understand how to dress, act and perform their jobs. There are many factors that influence organization culture in association with demographic factors. Here the researchers have taken individual factor upon grouping up various variables and tried to find the relationship between the demographic factors and the individual factors

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Organizational culture, organizational behaviour, employee behaviour. Industrial sociology, Industrial relations

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Research Problem: Punjab National Bank and Bank of Baroda are two of the largest public sector banksofIndia, after State Bank ofIndia withthe market capitalizationshare ofRs. 626.53 billion and Rs. 932.40 billion respectively. These banks form the backbone of the Indian economy. Unfortunately, the Indian banking system has been facing the problem of ever rising NPAs due to mismanagement of NPAs owing to some sector wide reasons and some bank specific reasons. Research Gap: It has been found that there are lot of comparative studies onthe impact of non- performing assets onthe banks frompublic and private sectors. The IBC has been a huge reform in the legal framework of the country concerning the insolvency and bankruptcy matters of entities. This aims at making the resolution process easy and resolution and recovery of NPAs fast. There is no study on the comparative study on the NPAs of these two major public sector banks after the implementation of the IBC. Objective: To compare thelevelsofNPAsofthe banksinpre and postIBCera. Toanalyzetheimpact ofIBContheperformanceofbanksusing ratios Research Methodology: Forthe purposeofthe study, the secondarydatacollected fromvarious online resources including official websites of the Reserve Bank of India, government websites and annual reports of the banks obtained from the money control website and banks' websites. The study is descriptive in nature and tools like tables and graphs have been used to study the trends of recovery of NPAs before and after the IBC. The present study is descriptive in nature and aims to study the impact of the IBC 2016 on the NPAs of these banks. The data used is secondary in nature obtained from various online resources.

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- Non-Performing Assets, Public Sector Bank, IBC 2016, Punjab National Bank, Bank of Baroda.

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Social media platforms have emerged as powerful tools for disseminating information and increasing public knowledge on diverse subjects, including sustainability. This paper examines the pivotal role of social media information systems in raising awareness about sustainability among various demographic groups, particularly the youth, who represent the most active users of these platforms. By utilizing the interactive and dynamic capabilities of social media the study aims to evaluate its effectiveness in educating individuals on sustainable practices, environmental conservation, and responsible resource utilization. To achieve this, a pilot study was conducted using a structured questionnaire as the primary tool for data collection. This survey assessed the extent of general awareness and knowledge about sustainability among social media users. The findings identified the strengths and limitations of social media in promoting a more sustainable mindset. Ultimately, this research emphasizes the potential of social media as a catalyst for promoting environmental awareness and empowering communities to adopt sustainable practices.

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Awareness, Promotion, Social Media, Sustainability, Technology.

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Artificial Intelligence (AI) has emerged as a cornerstone of digital transformation, particularly in the public sector, where its potential to enhance operational efficiency, governance, and citizen engagement is increasingly recognized. This paper explores the multifaceted role of AI in public administration, addressing key challenges such as data privacy, ethical considerations, and workforce limitations. It examines AI applications across three core dimensions: streamlining internal processes, improving public service delivery, and fostering governance transparency. Leveraging technologies like Enterprise Resource Planning (ERP) systems, Customer Relationship Management (CRM) platforms, cloud computing, and data analytics, this study highlights their transformative potential in optimizing decision-making and resource management. A case study from India underscores the real-world impact of AI initiatives such as Aadhaar, Aarogya Setu, MyGov, and the Government e-Marketplace (GeM), supported by structured survey data analyzing user perceptions of efficiency, security, transparency, and user experience. By addressing existing challenges and offering actionable policy recommendations, this research contributes to a growing body of knowledge, providing valuable insights for policymakers and administrators navigating the integration of AI technologies in public administration

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Artificial Intelligence (AI), Digital Transformation, Public Sector, Public Administration, Machine Learning

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This paper investigates the influence of women in leadership positions on India's progress, looking at how their unique perspectives and approaches contribute to social, economic, and political advancement. Using a combination of qualitative analysis methods, such as case studies and interviews, along with statistical data, the study sheds light on the transformative power of female leaders across different fields, underscoring the significance of promoting gender diversity in leadership for fostering a more developed and inclusive India.

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Empowering Women of Viksit Bharat, Female Leadership, Women in Politics, Women in Social,Economic Growth, Gender Parity, Women in Governance, Policy Impact, GDP Impact,Women Entrepreneurs.

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Sleep disorders, including insomnia, sleep apnea, and narcolepsy, pose significant challenges to public health, affecting millions worldwide. The neuropharmacology of these disorders involves a complex interplay of neurotransmitters, neuropeptides, and neuroanatomical structures that regulate sleep and wakefulness. Key neurotransmitters such as gamma-aminobutyric acid (GABA), serotonin, norepinephrine, and acetylcholine play crucial roles in the initiation and maintenance of sleep. Additionally, the orexin/hypocretin system is increasingly recognized for its role in sleep-wake regulation and the pathophysiology of disorders like narcolepsy. Current pharmacological treatments for sleep disorders include sedative-hypnotics, such as benzodiazepines and non-benzodiazepine sleep aids, which primarily enhance GABAergic activity to promote sleep. Conversely, wakefulness-promoting agents, like modafinil, act on dopamine and norepinephrine systems to improve alertness in conditions such as narcolepsy and excessive daytime sleepiness. Emerging therapies, including orexin receptor antagonists and melatonin receptor agonists, offer novel mechanisms of action aimed at restoring normal sleep patterns without the adverse effects associated with traditional medications. Personalized approaches to treatment, considering individual differences in neurobiology and pharmacokinetics, are essential for optimizing therapeutic outcomes. Furthermore, ongoing research into the neurobiological mechanisms underlying sleep disorders is crucial for developing innovative interventions that target specific pathways involved in sleep regulation.A comprehensive understanding of the neuropharmacology of sleep disorders will facilitate the advancement of effective treatments, ultimately improving sleep quality and overall health in affected individuals.

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sleep disorders, GABA, insomnia, narcolepsy, actigraphy, polysomnography

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Narratology is the study of narrative structures. Structuralism is the source of Narratology but later it has established itself as an independent branch from the parent. It has borrowed the terminologies and some of its characters from the linguistic theory though its all about stories. Narrative and art are connected through a single cord in our imagination. The speciality of it is that both artists and non-artists engage in a similar way in a Narrative. Narrative makes its presence known through the activation of it by mind. We can describe films, texts, plays and paintings through its physical form but Narrative is only an out of sight experience. We have still a long way to go or may not even achieve its scientific exactitude. According to Barthes when we look into the narrative genres like epic, short-story or Saga the narrative provides a structure. Even if we focus on any non-narrative genre like a lyric poem we can find a single feeling not only a mere story and this is Narrative ( Barthes."Introduction to the Structural Analysis of Narratives." in Susan Sontag, pp. 251-2). The approach of posthumanism lies in a oblique position in comparison to human perspective while we consider it critically. This approach views the crisis of humanism and the posthumanization effect from the 'inhuman' point of view. This inhuman according to Neal Curtis " upholds the human in its certainty and rectitude projecting all animality and barbarity outward" ( Curtis, Neal. "Inhuman." Theory,Culture & Society, pp. 434). In the words of Lyotard, " The human species is not the hero of the fable. It is a complex form of organizing energy. Like the other forms, it is undoubtedly transitory. Other, more complex forms may appear that will win over it. Perhaps one of these forms in preparing itself through techno-scientific development right from the time when the fable was being recounted" ( Lyotard, "A Postmodern Fable", pp. 17). Ishiguro's Novel Never Let Me Go focuses on the Narrative of a dystopian country in the 1990s England where the lives of the common people are prolonged through the process of human cloning. The clones are gaining a posthuman identity and at the same time facing the crisis of human identity. The story is narrated by Kathy who is a 'carer' and a former student at Hailsham. Here the students are trained for organ donation for non-cloned humans. Kathy, Ruth, Tommy all are clones but their lives are reflection of joys, sorrows, disappointments and hopes defining human experience. Their humanity is expressed through their artworks and moreover Kathy's narrative portrayed through her memory pleads the urge of holding onto the human identity forever.

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Narrative, Posthuman, Identity, Human ,Story, Clone

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Financial Technology (FinTech) has emerged as a transformative force, reshaping the way financial services are delivered and managed. This study aims to explore the role of FinTech in disrupting traditional financial management practices by evaluating its influence on efficiency, transparency, accessibility, and customer experience. The research highlights the potential challenges and opportunities posed by FinTech innovations and their impact on the financial industry. Through qualitative analysis, the study identifies key trends and provides recommendations for stakeholders in the financial sector.

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FinTech, Traditional Financial Management, Disruption, Financial Services, Technology, Efficiency, Accessibility, Transparency.

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Teaching aims to cultivate students' critical thinking abilities, fostering the development of responsible citizens for an equitable society. Effective classroom instruction should also instil values such as justice and equality in learners. Critical pedagogy serves as an essential teaching approach, aimed at enhancing students' awareness of social justice and equality while simultaneously deepening their understanding of academic concepts. In today's educational landscape, teachers are often preoccupied with preparing students for standardized tests, focusing on outcomes that ensure school performance metrics are met. This test-centric approach frequently overshadows the importance of fostering a knowledge-driven learning environment. This paper explores examples of how educators incorporate critical pedagogy into their teaching practices, demonstrating its positive impact on students' thinking and learning. Furthermore, it advocates for the integration of critical pedagogy in classrooms as a means to equip students with the critical thinking skills necessary for contributing to a fair and just society.

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critical pedagogy, dialogical method, banking model of education, praxis

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Jane Austen was a prolific author of a few novels, including Sense and Sensibility, Pride and Prejudice, Persuasion, and Emma. This research analyses Austen's use of fashionable consumerism to represent persons in the narrative, while exploring the socio-economic factors that shape these consumerist traits. The varied readings and implications provide a robust foundation for analyzing how the novel contests the notion of the natural and investigates the interconnection of different trends, whether in jewelry or the textiles of that particular period. Austen skillfully employs contemporary styles and the metaphor of attire to examine the characters' adherence to societal norms. Jane Austen employed this writing style, cognizant of her audience, and frequently interacted with them, anticipating their participation. Austen's works possess pragmatic relevance in literature, education, and cinema studies. Her novels are extensively read and analyzed, providing insights into human relationships, cultural conventions, and individual aspirations.

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Austen, Dress, Fashion, Novels

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Lung cancer continues to be a major cause of death globally, and early diagnosis plays a critical role in improving survival rates. This study explores the potential of machine learning models to detect and classify lung cancer using a publicly available dataset. Five different algorithms--Logistic Regression, K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Naive Bayes, and Random Forest--are examined to evaluate their effectiveness in lung cancer detection. Data preprocessing techniques are applied to address missing values, normalize features, and partition the dataset into training and testing subsets for model evaluation. To assess and compare the performance of the models, various metrics such as accuracy, precision, recall, F1-score, and Area Under the Curve (AUC) are employed. The results show that the Random Forest model yields the highest accuracy at 91.8%, followed by SVM and Logistic Regression. Although KNN and Naive Bayes demonstrate slightly lower performance, they still offer useful insights, particularly due to their simplicity and computational efficiency. This study underscores the advantages of Random Forest, especially in managing complex datasets, making it a promising tool for the early detection of lung cancer in clinical settings. The results suggest that machine learning techniques, especially ensemble methods like Random Forest, can aid healthcare professionals in delivering faster and more accurate diagnoses, leading to improved patient outcomes and optimized clinical processes.

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Lung Cancer, Machine Learning, Logistic Regression, KNN, SVM, Naive Bayes, Random Forest, Classification, Early Detection, Healthcare Applications

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This study focuses on the taxonomic investigation of tapeworm species from the genus Senga (Cestoda: Pseudophyllidea) found in the freshwater fish Mastacembelus armatus from the Washim District of Maharashtra, India. The present communication describes a new species, Senga govindii, identified in Mastacembelus armatus from the Penganga River. This species differs from known species of the genus in several characteristics, including the shape and size of the scolex, the number of hooks, the arrangement of the rostellum, the shape of the segments, the number of testes, the position of the cirrus pouch, and the arrangement of the vitellaria.

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Mastacembelus Armatus, cestode parasites, Pseudophyllidean, Senga.

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Neither liquidity nor profitability pose a danger to the overall resilience and quality of the assets held by Indian banks. The sufficiency and quality of the financial infrastructure are largely determined by the standard of assets held by the banking sector. NPAs are a key factor in evaluating a bank's ability to manage its budget. A significant problem for the Indian banking industry is the rise in non-performing assets (NPAs). The rise of nonperforming assets (NPAs) is one of the biggest concerns facing India's banking industry. The study's objective is to assess and contrast SBI and HDFC Bank's GNPA and NNPA. The same relevant data have been gathered and examined for a five-year period, spanning from 2020 to 2024. The findings indicate that although the GNPA and NNPA of SBI Bank have declined, the HDFC Banks have climbed dramatically.

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 Keywords

Non-performing Assets (NPA), Gross non-performing assets, (GNPA), Net non-performing Assets (NNPA)

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