Volume 12 | Issue 12 |

 Abstract

This study aimed to study the effect of Ethnomathematical Teaching on Numerical Ability of Secondary level students. To study the effect the Quasi-Experimental method was used. A sample of 60 students of class VIII from a School of Thiruvarur(Dt.), Tamil Nadu was selected through purposive sampling. The researcher has used lesson plans based on Ethnomathematical Teaching and for the collection of Data; the researcher constructed a tool to check the numerical ability of the students, named Numerical Ability Test. The statistical techniques used to find the effect was t-test and found there exists a significant effect of Ethnomathematical Teaching on Numerical Ability of Secondary Students.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Ethnomathematical Teaching, Numerical Ability, Secondary Students.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The nation's first female educator and social reformer, Savitribai Phule, imparted this lesson. Savitribai made significant contributions to women's literacy and education. Despite the harsh obstacles presented by patriarchy and conservatism, she paved numerous new avenues for women's empowerment. She brought women's consciousness to a new level and established new avenues for independence. She is renowned for encouraging education among Dalits as well. In the 19th century, she spoke out against the restrictive social structure that dominated Pune, Maharashtra. Her contribution focused on human causes like equality, truth, and humanity as well as rationality. Savitribai Phule was a trailblazing advocate for women's rights and social transformation.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Social Reformer, Women's education and rights , Value Education .

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

H.A. Roberts made significant contributions to homeopathic repertory through meticulous research and compilation of symptoms and remedies. His work focused on enhancing the accuracy and utility of repertory tools, thereby aiding homeopaths in selecting appropriate remedies based on individual symptoms. Roberts' systematic approach and comprehensive understanding of Materia medica enriched the field, laying a foundation for effective homeopathic practice and education.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Homoeopathy, H. A. Robert, Repertory

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Lung cancer is one of the most killer diseases in the developing countries and the detection of the cancer at the early stage is a challenge. Analysis and cure of lung malignancy have been one of the greatest difficulties faced by humans over the most recent couple of decades. Early identification of tumor would facilitate in sparing a huge number of lives over the globe consistently. This paper presents an approach which utilizes a Convolutional Neural Network (CNN) to classify the tumors found in lung as malignant or benign. The accuracy obtained by means of CNN is 96%, which is more efficient when compared to accuracy obtained by the traditional neural network systems.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Lung cancer, Computed Tomography, Chest CT image, Neural Network, Deep Learning, Convolutional Neural Network

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Forensic Odontology is a branch of Forensic Sciences, which deals with identification of individuals through their dental as well as their palatal structure as it is unique for each individual. Forensic Odontology plays an integral role in the identification of individuals especially in the cases of mass disasters and crimes against humans. The recent advancements in technology as well as Artificial Intelligence have been playing a huge role in the process of identification of individuals through Forensic Odontology. These advancements in the field of Forensic Odontology have not only made the process of identification of individuals much easier and faster but has also been helpful in the faster disposal of cases in criminal trials. This paper deals in detail with the recent technological advancements that have made the process of identification of individuals through the process of forensic odontology easier and quicker as compared to the manual and traditional methods as well as analyses how these technological advancements have made it easier for the courts to identify the offenders and award them the punishment accordingly. This paper also highlights the various cases in India which have used Forensic Odontology for the identification of offenders as well as cases where the evidence received through the different methods used in Forensic Odontology have been admitted as well as used by the courts in India for the faster disposal of cases and the nature and scope of Forensic odontology in India.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Forensic Odontology, Technological Advancements, Artificial Intelligence, Criminal Trials, Dental Structure

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Virtual reality (VR) is a technology which allows a user to interact with a computer-simulated environment, whether that environment is a simulation of the real world or an imaginary world. This paper explores the transformative role of Virtual Reality (VR) in the fashion and retail sectors, highlighting its potential to reshape consumer engagement, sales strategies, and operational efficiencies. Virtual reality offers immersive experiences, enabling customers to virtually try on clothing, accessories, and even participate in runway shows from anywhere in the world. VR-powered virtual try-ons address key challenges, such as improving fit accuracy and reducing product returns, while enhancing personalization and convenience in both online and in-store shopping experiences. This technology allows customers to see how garments appear and fit in real-time, bridging the gap between digital and physical retail. Furthermore, VR empowers fashion brands with virtual showrooms, creating unique opportunities for showcasing collections and storytelling, and expands the boundaries of creativity with digital-only fashion. However, the adoption of VR presents challenges, including high development costs and accessibility barriers for certain consumers. This paper evaluates the impact of VR on brand-consumer interaction, compares its efficacy against traditional retail methods, and examines emerging trends in virtual commerce, such as NFTs and digital influencers. Through case studies, data analysis, and expert perspectives, the research concludes with recommendations for leveraging VR technologies in sustainable, cost-effective ways to enhance customer satisfaction and competitive advantage within the fashion and retail landscape.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Virtual Reality (VR), Fashion and Retail, Immersive Experiences, Virtual Try-ons, Personalization, Virtual Showrooms, Sustainability

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study explores the utilization of advanced data analytics techniques to extract actionable insights from large-scale educational datasets, aimed at informing decision-making and facilitating personalized learning interventions. Through the analysis of diverse data sources including student performance metrics, demographic information, and learning behaviors, this research seeks to uncover patterns, trends, and correlations that can enhance educational practices. The study investigates the development and validation of predictive models for forecasting student performance, as well as the ethical and privacy considerations associated with data analytics in education. By synthesizing existing literature and empirical research, this study provides insights into the potential of data analytics to transform education, fostering a culture of evidence-based decision-making and supporting the implementation of tailored interventions to meet the diverse needs of learners. Ultimately, this research contributes to the ongoing discourse on leveraging technology and data-driven approaches to promote educational equity, improve student outcomes, and advance teaching and learning practices

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Data analytics, Learning behaviors, Digital learning, educational datasets

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Background: The World Health Organization classifies young people as 10-24 years old with adolescence (10-19yrs) and (15-24yrs). The adolescent period is a time for developing independence. It is a transitional stage of physical and psychological development that usually occurs during the period from puberty to adulthood. The adolescent's behavior varies within the time period that defines the stage of development and differs by sex and setting. The behavior are influenced by a range of factors including individuals self-esteem, skill, knowledge, beliefs, caregiver, peers and teachers, schools, economic status, folk's beliefs. Perception of sights, sense of future, and the media. Aim: "A study to evaluate the effectiveness of structured teaching program on knowledge regarding management and prevention of selected behavioral problems of adolescents among students studying in a selected nursing college in Mangalore". Objectives: 1. To assess the students' knowledge regarding management and prevention of selected behavioral problems in adolescence. 2. To evaluate the effectiveness of structured teaching program on management and prevention of behavioral problem in adolescents among nursing students. 3. To find out association between pretest knowledge score of students regarding management of adolescent behavioral problem with selected demographic variables Such as age in year, gender, religion, education status of parents, occupation of parents, monthly income of the family, type of family, Source of information on management and prevention of behavioral problems, Area of residence. Methodology: A quantitative research approach and comparative research design were used .A total of 60 adolescent boys and girls were chosen from the selected college of Srinivas Institute of Nursing Sciences by convenient sampling technique. A pre and post questionnaire was used to assess the behavioral problems and 81.7% of adolescent had poor knowledge and in posttest 3.3% of adolescent's had poor knowledge in selected behavioral problems. Results: Among 60 adolescents 49. (81.7%) of adolescent had poor knowledge in pre-test , 11 (18.3%) had moderate knowledge and none of the adolescents had good knowledge of selected behavioural problems whereas in post-test had mode 49(81.7%) rare knowledge and 22 (36.7%) had good knowledge, It was concluded that there was an improvement in knowledge regarding management and prevention of selected behavioural problems and none of the adolescent. Conclusion: The study concludes that adolescents studying in college were having behavioral problems. Substance abuse was found to be the least common behavioral problems among adolescent boys and girls.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Behavioral problems, Adolescent boys and girls, college.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Agriculture is the process of growing food to feed the masses. In modern day, agricultural practices have been trying to adopt technologies that can give a better yield, predict returns and also mitigate losses. Farmers are adopting trends and are trying to catch up with the growing market requirements. Supply chains have to improve the nutrient content. Data acquisition and processing form the important challenges to improve productivity, resource utilization. The lands are generally enormous and communication can get tricky since there are costs involved. However wireless technologies such as LoRa, Zigbee etc are showing promise. This paper tries to understand the advancements made in agriculture in the recent times and the best practices that are giving good results.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Agriculture, Wireless sensor networks, Security, AI/ML, Internet of Things (IoT).

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

For small sigma asymptotic approach due to Kadane and Shukla studies he properties of two families of estimators considered by Srivastava and Chandra from the idea of concentration probabilities of estimators around the two unknown parameters stochastically restricted a linear regression model. To analyses the properties of more generalized classes of estimators by Sing et.al (1995) from concentration probabilities theme choice of an estimator.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Quadratic Risk Criterion, Stochastic, Regression, Exact linear constraints, Coefficient vector.

  License

Creative Commons Attribution 4.0 and The Open Definition