Volume 13 | Issue 5 |

 Abstract

It is necessary to consider how rural needs are very important for the revival of agriculture and manufacturing. Agriculture is very important because it employs 52% of the population and accounts for 17% of GDP. Approximately 14 million farmers have committed suicide in the last 17 years. Although the amount of land provided per capita decreased, the share of agriculture decreased further. The report shows that the number of suicides in India's agriculture sector in 2022 is 11,290; this number was up 3.75% from the 10,881 suicides reported in 2021. Of the 2022 victims, 5,207 were farmers and 6,083 were farmers. In 2021, the corresponding figures are 5,318 farmers and 5,563 farmers. This means a crisis for farmers. Dynamic meditation is a popular form of meditation introduced by the Indian mystic Osho in the 1970s. Effects of Osho Dynamic Meditation on blood cortisol levels (cortisol is an indicator of stress) to see if it has an effect on stress. And use Mindrove computer to calculate farmer's brain power and monitor brain power.

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 Keywords

dynamic meditation (DM), cortisol, electroencephalogram (EEG), Stress.

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As the world increasingly relies on technology for entertainment and education, creating a secure and productive environment for children to study has become ever more essential. This paper proposes a new solution for enhancing the study environment of children with the integration of real-time monitoring and safety considerations. The novel idea provides two timers for recording screen-based and book-based study time to allow parents to monitor their child's study practice and performance. In addition to time tracking, the system has webcam-based observation to detect pointed objects, mark danger zones, and monitor suspicious behavior in the study room. Utilizing AI-based object recognition algorithms, the system provides a smart means of detecting risky situations, such as unsafe movement or sharp objects, in real-time. Moreover, the system automatically notifies parents with instant alerts through a web-based dashboard, enabling them to monitor the safety and productivity of their actively engaged child remotely. The parent panel offers valuable information like detailed study time logs and detected safety risks, allowing parents to intervene where necessary. The study establishes that combining time management with proactive safety monitoring is effective, offering a full solution that ensures academic focus and safety of the child in an age of technology based learning. The AI book timer has come up to be 92.5% accurate, AI screen timer- 89% accurate and AI object recognition- 92.4% accurate.

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 Keywords

--child safety, study timer, webcam monitoring, sharp object detection, suspicious activity detection, danger zone detection

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Abstract Professional development is a way for people and groups to broaden and/or enhance their pedagogical and subject knowledge. Formal lectures, seminars, and workshops are commonly referred to for professional development, which is sometimes abbreviated as PD.A teacher uses to improve his knowledge of teaching and further his career in education through professional development. Examples include attending conferences relevant to teaching and enrolling in online courses. Professional development can be pursued freely and occasion through funded programmes at the school, district, and state levels. In majority of the time, professional development for teachers focuses on introducing new methodologies, innovative techniques and procedures based on cutting-edge research, as well as implementation strategies. Interpersonal communication is one example of a generic talent that can be the subject for professional growth or altern. Pre-service and in-service teacher training programmes are the two main categories for teacher training programmes in India. Generally speaking, in-service training programmes for teachers are regarded as programmes for teacher professional development. This aspect of in-service teacher education was emphasised in many policy texts. In addition, "school complexes" will help with a nodal school in charge for all teachers' ongoing professional development, according to the Education Commission's (1964-66) recommendation. As a result of these proposals, State Institutes of Education have been established in a number of States. According to the "Teacher and Society" report of the National Commission of Teachers-I (1983-1985), every teacher should participate in in-service training for three weeks once every five years and that it should be connected to career advancement."Teacher education is a continuous process, and its pre-service and in-service components are interrelated," the National Policy of Education (NPE 1986/92) said explicitly. Numerous measures were suggested in the National Curriculum Framework for Teacher Education-2009 to improve in-service teacher education as a tool for professional growth.

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Key Words: Professional development, Pre-service Teacher Training, In-Service Training.

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Artificial intelligence (AI) is increasingly recognized for its potential to enhance cancer care, particularly amid challenges such as an ageing population, workforce shortages, and rapid technological advancements. While AI has shown promise in cancer diagnostics, its broader impact on the quality, efficiency, and equity of care throughout the cancer care continuum remains uncertain. This systematic review aims to evaluate the clinical readiness and practical deployability of AI applications in post-diagnostic cancer care through an analysis of prospective studies. A comprehensive search of PubMed and Web of Science (1 January 2013 to 1 May 2023) identified 15 studies that prospectively assessed AI interventions following cancer diagnosis. Each study was critically appraised using the Risk of Bias tools for randomized and non-randomized studies, along with implementation analyses focusing on time, cost, and resource requirements. Our findings indicate that most AI research in oncology remains in the experimental phase, lacking prospective clinical validation or real-world deployment. Many studies failed to demonstrate clinical validity or translate AI-generated efficacy into meaningful patient outcomes. Key limitations include insufficient standardization, poor interoperability across health systems, and a lack of implementation and equity-focused evaluations. To address the existing gaps--namely, low clinical evidence, limited outcome translation, and research ecosystem fragmentation--future efforts should prioritize multicenter, collaborative implementation studies that align with current methodological standards and are tailored to specific healthcare settings.

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 Keywords

Artificial Intelligence (AI),Cancer Care,Post-Diagnostic Pathway,Clinical Readiness Implementation,Science Health System Interoperability,Prospective Studies,Oncology, Quality of Care, AI Deployment Equity in Healthcare,Systematic Review

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The imperative of sustainable environmental management is underscored by the escalating degradation of ecosystems and loss of biodiversity, necessitating a paradigm shift towards holistic and integrated approaches. This review synthesizes the existing literature on the challenges, opportunities, and best practices in sustainable environmental management, with a focus on balancing ecological integrity with socioeconomic development. The findings highlight the complex interdependencies between social, economic, and environmental systems, and the need for multifaceted solutions to address the pressing issues of climate change, resource depletion, and biodiversity loss. Opportunities for sustainable development abound, particularly through the adoption of renewable energy sources, sustainable agriculture practices, and eco-friendly technologies. Best practices in environmental management include community-led conservation initiatives, policy interventions, and innovative technologies. The review underscores the need for collaborative efforts from governments, industries, and individuals to actualize sustainable environmental management and ensure a resilient and thriving planet for future generations. By examining the intersections between environmental sustainability, economic development, and social justice, this review provides insights into the complex dynamics of sustainable environmental management and informs policy and decision-making processes.

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 Keywords

Sustainable Development, Environmental Sustainability, Renewable Energy, Eco-friendly Technologies.

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This study investigates the Effectiveness of Abacus based techniques in Improving Speed and Accuracy in Arithmetic among Grade IV primary school students. A quasi-experimental pretest-posttest non-equivalent group design was employed, dividing 80 students into two groups: a Control Group (C) (n = 40) taught using conventional methods and an Experimental Group (E) (n = 40) trained using Abacus strategies. The intervention consisted of a structured 60-class instructional module focusing on simple addition and subtraction, with the aim of enhancing computation speed and accuracy. Data collection involved pretest and posttest arithmetic assessments, measuring speed (time taken in minutes) and accuracy (percentage of correct responses). Statistical analyses, including paired t-tests and independent t-tests, were conducted to determine the effectiveness of each instructional approach. The findings revealed that while the conventional method led to a significant improvement in arithmetic speed in the control group, the Abacus strategy demonstrated a much greater impact, yielding a very large effect size. Comparative post-test results further confirmed that students trained with Abacus strategies outperformed those taught through conventional methods in both speed and accuracy, with a highly significant difference (p < .01). These results highlight the superiority of Abacus-based learning over traditional methods in developing arithmetic fluency and precision. Given its substantial impact, integrating Abacus strategies into primary mathematics education may serve as an effective pedagogical approach for enhancing foundational numeracy skills. Future research could explore the long-term retention of Abacus-based arithmetic skills and its applicability to higher-order mathematical concepts.

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 Keywords

Effectiveness, Abacus, Speed, Accuracy, Arithmetic, fluency, precision

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 Abstract

Mahavidhyalayin chatra-chatrao ke mansik swasthya par social media ke prabhav ka adhyayan

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Mahavidhyalayin chatra-chatrao ke mansik swasthya par social media ke prabhav ka adhyayan

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The tribes are one of the socially excluded groups living in our country. The total population of tribal people in the country accounts for about 8.9% of the total population. The Tribal population in Tamil Nadu accounts for 7,94,697 and constitutes 1.1 per cent of the population of the state according to the 2011 census. There are totally 36 different tribal groups live in the state and in which six of them are termed as Particularly Vulnerable Tribal groups (PVTG's) by the government with the purpose of enabling improvement in the conditions of life of people particularly those at low development indices. The Irula tribe, indigenous to Tamil Nadu, represents a unique cultural group with rich traditions and knowledge systems. This study presents an ethnographic assessment of the Irula community in the Coimbatore district, focusing on their social structures, belief systems, livelihood strategies, and the impact of modernization on their cultural practices. Utilizing qualitative methods such as participant observation and in-depth interviews, the research uncovers the dynamic interplay between tradition and change within the Irula society. The findings highlight the community's resilience and adaptability, emphasizing the need for culturally sensitive development policies that respect and integrate indigenous knowledge systems.

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Irula tribes, Ethnography, and Particularly Vulnerable Tribal Groups

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Recognition of respiratory conditions at the right time remains fundamental to deliver both proper treatment and superior patient results. Standard auscultation techniques face two significant problems due to subjective evaluation of patients' airway sounds and inconsistent interpreter interpretations. The system presents a real-time intelligent phonopulmography system with acoustic sensing capabilities to automate the precise classification of lung sounds. The system uses special hardware components built from a combination of stethoscope along with microphone and operational amplifier circuits connected to an Arduino to detect and improve respiratory audio signals. Through MATLAB processing the acquired sounds become structured data that can be classified using methods such as Mel-frequency cepstral coefficients and spectral analysis during feature extraction. A deep learning-based version of the convolutional neural network runs in Python using TensorFlow to classify lung sounds into the categories of normal along with crackles, wheezes and rhonchi. A pre-trained feature extractor enables performance improvement in the system. The model processed 3,680 clinically marked audio samples to reach more than 90% successful classifications. Modern usability features of the web interface allow real-time audio recording with automatic diagnostic assessment following AI model processing. The research demonstrates how coupled sensing hardware with AI methods accomplishes real-time respiratory evaluation that is both reliable and scalable. Upcoming developmental goals target the expansion of the database as well as the improvement of response speeds for future mobile and cloud-based remote healthcare applications.

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 Keywords

Acoustic Sensing, Arduino, Automated Healthcare, Convolutional Neural Network (CNN), Deep Learning, Lung Sound Classification, MATLAB, MFCC, Phonopulmography, Python, Real-Time Diagnosis, Respiratory Disorder Detection, Signal Processing, TensorFlow, Web Interface.

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 Abstract

Abstract: This study has been undertaken to evaluate the thermodynamic properties such as enthalpy, specific heat, and SMER were calculated. The results showed that the drying behaviour of Capsicum Annum was best described by the tray dryer at all temperatures. The thermodynamic properties results indicated that the drying process was spontaneous and exothermic, and the SMER decreased during the process. It was found that the specific heat capacity and enthalpy decreased as moisture content decreased, while energy consumption increased. Understanding the drying behaviour of Capsicum Annum and the involved thermodynamic properties can help in designing efficient drying processes that can preserve the quality of the product.

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 Keywords

: Capsicum Annum, Drying, Tray dryer, Thermodynamic properties, Specific heat, Enthalpy, SMER

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