Volume 13 | Issue 1

 Abstract

Tilda Vikashkhand Me Bhumi Upyog Ev Krushi Pratiroop

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Tilda Vikashkhand Me Bhumi Upyog Ev Krushi Pratiroop

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Social media is a weapon that is capable of construction as well as destruction. The real power of the prevailing social media platforms becomes evident by witnessing the influence created by these platforms on a large scale. It plays a significant role in everyday life. The rising popularity due to its ability to make people attached with kith and kin have paved the way for the world to share photos, feelings, videos, which bears a high-security concern. However, most social media users do not know the underlying security level(s) of the respective account(s), including which features of these social media have to be considered if there is a risky situation. Hence, this would help the police to identify the type of people who would create more crimes. These results would help the police to narrow down their search on criminals for better surveillance. The police must focus on those with these factors while monitoring social media.

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social media, cyber crime ,cyber criminals

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The early detection of sexually transmitted diseases (STDs) and sexually transmitted infections (STIs) is critical for effective treatment and prevention of complications. With advancements in artificial intelligence, machine learning algorithms offer promising tools for accurate and efficient diagnostics. This study presents a comparative analysis of tree-based algorithms, with an initial focus on Random Forest, for the detection of STDs/STIs using publicly available datasets. The model achieved an accuracy of 96%, demonstrating the effectiveness of tree-based methods in medical diagnostics. A detailed evaluation of the model's performance, including a confusion matrix and feature importance analysis, is included. Future work will focus on implementing deep learning algorithms to enhance detection accuracy and generalizability. This paper serves as Phase One of an ongoing study aimed at leveraging machine learning for improved healthcare diagnostics.

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Tree Learning, Deep learning, Sexually Transmitted Disease (STD) Prediction, Random Forest.

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This study reviews the changes in the Gulpha Sandhi Sharir, with a specific focus on Amavata. Gulpha Sandhi Sharir refers to the ankle joint in Ayurveda, which is crucial for movement. Amavata is a chronic inflammatory disorder that resembles rheumatoid arthritis and primarily affects the joints, leading to pain, swelling, stiffness, and limited mobility.The review examines key structures in the Gulpha Sandhi, including bones, ligaments, tendons, and synovial membranes, and explains how Amavata impacts these structures. By analyzing classical Ayurvedic texts alongside modern medical literature, this study clarifies the development of Amavata, highlighting the accumulation of Ama (toxins) and its interaction with Vata dosha. The study discusses significant issues such as joint tissue damage, abnormalities in synovial fluid, and inflammation. It aims to link Ayurvedic principles with modern anatomical understanding, providing valuable insights for the management and treatment of this challenging condition.

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Gulpha Sandhi, Sharir, Amavata, Synovial Fluid

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Potato diseases, such as late blight and early blight, pose significant threats to global agricultural productivity. Manual disease detection is time-intensive and error-prone, necessitating automated solutions. This study proposes a deep learning-based system using Convolutional Neural Networks (CNNs) for identifying potato leaf diseases. The model was trained and tested on an augmented dataset, achieving a classification accuracy of 97%. It effectively distinguishes healthy leaves from diseased ones. The system's robustness is validated through cross-validation and practical testing. Key advantages include high accuracy and scalability for agricultural applications. The approach can be extended for real-time use through IoT devices. This work aims to assist farmers in early disease detection, reducing crop losses and enhancing productivity.

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Potato disease identification, deep learning, CNNs, late blight, early blight, image classification, agricultural technology.

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In this paper, we propose a Vehicle Recommendation System leveraging the power of Artificial Intelligence (AI) and Random Forest methodology. Our system is designed to recommend vehicles to users based on their specific preferences and requirements. Using a dataset of 1265 entries and 27 features, the AI model identifies the most suitable vehicle for customers by analyzing their responses to a series of pre-determined questions. This project demonstrates the application of Random Forest for classification and recommendation tasks, showcasing its effectiveness in decision-making processes.

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Vehicle Recommendation System,Random Forest,Artificial Intelligence

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In the age of artificial intelligence (AI) and graphics processing units (GPUs), the flip-flop (FF) has emerged as one of the processor's most power- hungry elements. A unique single- phase-clock dual edge triggering (DET) FF employing a single transistor clocked (STC) buffer (STCB) is suggested as a solution to this problem. The clock redundant transitions (RTs) and internal RTs present in previous DET designs are eliminated entirely by the STCB's use of a single- clocked transistor in the data sampling path. The suggested STC-DET beats the previous state-of-the- artlow-powerDET in power consumption by 14% and 9.5%, at 0.4 and 0.8 V, respectively, when running at 10% switching activity, as shown by post-layout simulations in 22 nm fully depleted silicon on insulator (FD-SOI) CMOS. Among the DETs, it also attains the lowest power-delay-product (PDP).

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Flip-Flop, Dual-Edge Triggered, Low Power, TSPC (TrueSingle-PhaseClock), Redundant- Transition-Free Clocked Single Transistor

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Since its beginning in 1987, the Research Department has successfully completed more than 1,200 projects, leading to a substantial accrual of files and papers related to each study. Currently, these records exist in the form of an Excel sheet and Word documents and pose quite an obstacle for Research Administration. to keep abreast, monitor, and track their progress as ongoing studies. The increasing volume and complexity of these projects have made it difficult to supervise research activities effectively and ensure smooth progress across multiple stages. This paper explores the challenges faced by the department due to the existing manual record-keeping system and proposes a more efficient, centralized approach to project management. By incorporating advanced technology and the most up-to-date data management, this research strives to smooth the process of monitoring while upgrading tracking abilities to ensure maximum efficiency in administering research.

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Project management

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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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