Volume 13 | Issue 11 |

 Abstract

The intentional spread of false or misleading information, commonly known as fake news, poses significant risks to individuals' perceptions and decision-making. Social media, as a dominant conduit for sharing information, has amplified the reach and impact of fake news, making efficient detection methods critical. This study examines and compares the effectiveness of several Machine Learning and Deep Learning approaches in detecting fake news using four distinct datasets. Our investigation reveals that the Random Forest algorithm combined with Bag of Words feature extraction delivers superior performance on the FARN Dataset, achieving an accuracy rate of 98.8%. Furthermore, we observe that TF-IDF consistently outperforms alternative feature extraction techniques, underscoring its value in fake news classification tasks.

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 Keywords

Fake News Detection, Machine Learning,Deep Learning Social Media Analysis

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper examines the relevance and effectiveness of the client engagement strategies adopted in catering to industrial buyers across diverse sectors within the Indian steel trading industry. The study focuses on understanding how CRM practices, service responsiveness and post-sales support contribute to building long-term business relationships and enhancing client retention. The study follows a descriptive research design and focuses on key steel trading hubs within Maharashtra, including major cities such as Mumbai and other important regional centers.. For the purpose of this study a sample size of 41 respondents was selected, comprising procurement managers, supply chain executives and B2B clients, based on purposive and convenience sampling techniques to include a representation from various industrial segments. Primary data were collected through a structured questionnaire containing closed and Likert-scale questions. Secondary data were gathered from trade reports CRM journals and company records. The key variables of the study include responsiveness of customer service, efficiency in handling queries, quality of post-sales support, CRM practices and client trust. Data analysis was done through correlation and regression analysis to check the relationship between service responsiveness and client loyalty. The results also indicate that proactive communication, timely query resolution and consistent post-sales support increase client satisfaction and trust and thereby improve customer retention in industrial markets. Recommendations for best CRM practices conclude the study with an emphasis on digital integration, personalized engagement and continuous service improvement as key means of sustaining client relationships within the steel trading sector.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Customer Relationship Management (CRM), Industrial Buyers, Procurement Managers, Supply Chain Management, B2B Marketing

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Effective data analysis is essential for driving strategic planning and optimizing operational efficiency, particularly within dynamic fields such as global public health. This project presents a structured, end-to-end data science framework for the analysis, processing, and visualization of global COVID-19 statistics to derive actionable insights for stakeholders. The methodology encompasses acquiring data from diverse sources, including CSV/Excel files, SQL/NoSQL databases, and web APIs/scraping. Rigorous preprocessing was implemented, including Mean/Median/Mode imputation for missing values, Z-score/IQR outlier detection, and Min-max scaling for normalization The core analysis leverages Python libraries (Pandas for manipulation, NumPy for numerical computation, Matplotlib/Seaborn for EDA) and SQL for efficient data management and targeted retrieval. Finally, interactive dashboards were developed using Microsoft Power BI and Tableau to visualize key pandemic metrics such as confirmed cases, recovery rates, age distribution of cases, and vaccination progress. The resulting framework successfully demonstrates how data analysis transforms raw health data into crucial information for understanding global health patterns and guiding strategic interventions.

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 Keywords

COVID-19, Data Analysis, Data Visualization, Python, Pandas, SQL, Microsoft Power BI, Tableau, Business Intelligence.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Angami Nagas of Nagaland hold a rich cultural legacy rooted deeply in their land, nature and especially stone. Central to this are stone monuments--megaliths and stone-built structures that once signified status, ritual achievement and ancestral memory. While some of these have been documented, many legendary and myth-bearing stones--those connecting people to mythological narratives and spiritual belief systems--remain neglected. As villages rapidly urbanise, these stone markers, once integral to communal and ritual life, are increasingly forgotten or repurposed. Indifference among people and shifting societal values contribute to their deterioration. This paper revisits the historical significance of these legend and myth-bearing stone heritages, explores the reasons for their obscurity, and advocates urgent, inclusive conservation and revitalisation. Reviving this facet of Angami stone heritage transcends monument preservation: it is about reclaiming identity, memory and ancestral continuity.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Stone monuments, village, myth, legend, heritage, ancestral, Nagas

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

For creating mucoadhesive Carvedilol tablets, the current study used the mucilage of Ocimum basilicum seeds as a natural polymer in combination blends for long-lasting oral drug administration. Non-selective ?-blockers having ?1-blocking action, such as carvingilol, are frequently used to treat heart failure and hypertension. However, the drug's oral bioavailability is poor due to its short half-life, limited water solubility, and substantial first-pass metabolism. Therefore, it is preferable to use sustained release mucoadhesive formulations in order to increase therapeutic efficacy, decrease dosage frequency, and extend drug action. Ocimum basilicum L., a common medicinal herb. Its seeds contain a lot of mucilage, which can be used as a natural excipient in drug delivery systems because of its swelling, gel-forming, and mucoadhesive qualities. The study's objectives were to separate and describe the mucilage found in O. basilicum seeds and use this natural polymer to create sustained-release mucoadhesive Carvedilol tablets. Determining the drug concentration, assessing the physicochemical characteristics of formulations, and researching in vitro drug release profiles over a 12-hour period were the specific goals. An acetone-water (1:1) system was used to extract the mucilage from basil seeds, and FTIR and DSC methods were used to describe the results. Carvedilol sustained release tablets were made by direct compression with polymeric mixes containing varying amounts of basil mucilage. To ascertain flow characteristics, pre-compression parameters such as Hausner's ratio, Carr's Index, bulk density, tapped density, and angle of repose were measured. Hardness, friability, drug content, and weight variation were all examined after compression. Carvedilol's drug content was examined at 270 nm using UV-visible spectrophotometry. Drug release experiments were carried out in vitro in dissolving media for up to 12 hours. Flow property analysis showed all formulations had acceptable ranges for angle of repose, Carr's Index, and Hausner's ratio. After 12 hours, the percentage drug release was: 92.3%, 90.3%, 93.4%, 91.3%, 97.2%, 85.2%, 89.8%, 89.4%, and 87.9% for different polymer ratios. The formulation containing 5% basil mucilage with 5% synthetic polymer achieved the highest release (97.2%). The study demonstrated that Ocimum basilicum seed mucilage can be effectively utilized as a natural mucoadhesive polymer in the formulation of Carvedilol sustained release tablets. All formulations exhibited satisfactory physicochemical and mechanical properties with controlled drug release up to 12 hours. The 5% + 5% blend showed optimal release, indicating that basil seed mucilage is a promising, cost-effective, biocompatible excipient for sustained release drug delivery systems.

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 Keywords

Carvedilol; Ocimum basilicum; Basil seed mucilage; Mucoadhesive tablets;

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The B2B steel industry is highly competitive and relationship-oriented, wherein business growth and repeat orders depend on the effectiveness of the selling mechanism. The relevance of this research paper can be seen in its objective of optimizing the sales process in B2B steel trading by studying key support functions such as customer conversion, payment follow-up, and stock list management. This study aims to know how structured communication, accurate data handling, and systematic follow-up would increase sales efficiency and maintain client trust. The scope of the research is PAN India, and the sample size consists of 59 respondents chosen from sales executives, managers, and distributors representing varied industrial regions. The descriptive research methodology has been the basis of the study, and in this respect, data have been collected through a structured questionnaire. The sampling technique is purposive because only those actively involved with sales, accounts, or logistics were selected. The study shows that frequent communication, CRM-supported follow-up, and correct stock coordination yield better results in customer satisfaction and lead conversion in the steel industry. This indicates that sales process optimization is dependent not only on selling strategy but also on internal coordination and relationship maintenance.

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 Keywords

Sales Process Optimization, B2B Steel Trading, Customer Conversion, Payment Follow-up, Stocklist Management

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present study aimed to examine the relationship between perceived social support and antisocial attitudes among college students.A quantitative, correlational research design was employed. The sample consisted of 150 undergraduate and postgraduate students aged between 18 and 25 years, selected through convenient sampling from colleges. Standardized tools: Socio-demographic data sheet,Perceived Social Support and Antisocial Attitude.were administered to obtain basic details, measure perceived social support and antisocial attitudes, and the data were analyzed using descriptive statistics and Pearson's correlation coefficient.The results indicated that participants reported moderately high levels of perceived social support and moderate levels of antisocial attitudes. A statistically significant but weak negative correlation was found between perceived social support and antisocial attitudes, suggesting that students who perceive greater social support are somewhat less likely to endorse antisocial tendencies. While the strength of the relationship was modest, the findings underscore the role of social support as a buffering factor against the development of maladaptive attitudes.The study highlights the importance of strengthening supportive networks in academic and familial contexts to mitigate antisocial orientations among students.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Perceived Social Support,College students,Antisocial Attitude

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study investigates the status of implementation of RTE Act norms in the district of Guntur in the state of Andhra Pradesh based on primary data gathered from 90 schools of different management types. This study follows a dual methodology and is based on structured questionnaires that were delivered to school principals and teachers in order to determine whether they meet the requirements concerning infrastructure, teacher qualifications, the student-teacher ratio and the facilities under the Act. Data analysis indicates substantial differentiation in levels of implementation between government and aided schools, private unaided and Municipal schools. Of these, although the government schools have 67.2% ENSURE overall compliance to RTE norms, private unaided schools have 71.8% adherence, especially in school infrastructure and facilities. Critical teacher shortages remain, with 34.5% of schools surveyed reporting pupil-teacher ratios above the stipulated maximum. The research reveals resource allocation, monitoring systems and community involvement as the common factors that influenced successful implementation. Results suggest that full implementation of the RTE is hindered by practical realities, such as lack of funds, lack of adequate infrastructure, and administrative roadblocks, although the RTE law clearly provides for such implementation. This research provides empirical evidence from a regional perspective and offers recommendations on policies for enhancing the implementation mechanisms in Andhra Pradesh and other similar states across India.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Right to Education Act, Guntur district, Primary education, Implementation compliance, School infrastructure, Educational policy

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Generalised anxiety disorder involves excessive worry in day-to-day life. The case report shows the usefulness of the homoeopathic remedy of the Lilium tigrinum for managing the symptoms of the generalised anxiety disorder[1]. A 31-year-old male diagnosed with generalised anxiety disorder. Presented with the symptoms of public anxiety, fear of ghosts, dark imaginary thoughts, dead bodies, overthinking, loss of confidence, delusion frequent change of thought. A person in both religious and sexual mania. He also had physical illness of hypothyroidism and pain in the right knee joint, trembling and numbness in both legs. The patient was administered Lilum tigrinum in the 1M Potency. The case was assessed with the Hamilton Anxiety Rating Scale (HAM-A)[2]. To note the public anxiety, enhance the self-esteem, in reduce the fear and increase life satisfaction.

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 Keywords

Generalized Anxiety Disorder, GAD-7, HAM-A, Lilium tigrinum, Homoeopathic Psychiatry, Religious mania, Sexual mania, Hypothyroidism.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Through this project, we aim to develop a Raspberry Pi-based smart home automation system that intelligently controls appliances by analyzing environmental conditions, occupancy status, and time of day using machine learning techniques. The system monitors indoor climate and evaluates ambient lighting conditions using environmental and light intensity data. For occupancy detection, the system replaces traditional IR sensors with a camera-based approach using Convolutional Neural Networks implemented via OpenCV, enabling more accurate and real-time detection of human presence within the monitored space. Additionally, time-based features including hour of the day and day/night classification are incorporated to enhance decision-making accuracy. A machine learning model is trained on historical data encompassing temperature, humidity, occupancy status and temporal features to predict optimal control actions for household appliances such as lights, fans, and air conditioners. The Raspberry Pi serves as the central controller, interfacing with sensors and the camera, and executing automation decisions in real time

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Smart home automation, IoT, AI, ML, Raspberry Pi, CNN, Occupancy detection, environmental monitoring, OpenCV, computer vision, sensor fusion, dynamic appliance control, energy efficiency, predictive automation, real-time decision making, temperature and humidity sensors, light intensity detection, home appliance control, time-based feature analysis, and adaptive control system.

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Creative Commons Attribution 4.0 and The Open Definition