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Child friendly schools: Challenges and issues in creating a positive and protective school environment
Schools are considered to be one of the safest places where children are seen on a daily basis and are under the supervision of teachers who are trained and equipped caregivers. Children are victims of all forms of abuse, punishment, neglect, discrimination, and ill-treatment within the school setting. Though there are various policies and programmes at international and national levels, addressing child protection has been a serious challenge for every community. Children need to be protected and any acts that hamper their well-being and safety need to be curbed. The objective of this chapter is to critically evaluate school-based child-protection programmes and suggest a model of child protection through positive schooling. Positive schooling is an approach to create a healthier and safer school environment. Positive schooling emphasises inclusiveness, strength-based education, developing character strengths, creating least restrictive environments, and fostering well-being among the school community, including students and teachers. It aims at creating a positive culture where every learner gets equal opportunities to learn and develop. It gives value to overall well-being of the individual and happiness within the learning environment. It promotes positive teaching strategies without the use of punishment and pressure. The positive culture within the school environment would promote peer support and collaboration, preventing bullying and abuse. Learners and facilitators would respect and support each other, focusing on strengths rather than weakness, which would, in turn, create an inclusive environment accommodating everyone. The chapter also highlights the need for: trained professionals, like counsellors, in school settings; stronger school-based polices; and the need for collaboration among school administrators, counsellors, teachers, and parents. Springer Nature Singapore Pte Ltd. 2018. -
Chest Diseases Prediction from X-ray Images using CNN Models: A Study
Chest Disease creates serious health issues for human beings all over the world. Identifying these diseases in earlier stages helps people to treat them early and save their life. Conventional Neural Networks play an important role in the health sector especially in predicting diseases in the earlier stages. X-rays are one of the major parameters which help to identify Chest diseases accurately. In this paper, we study the prediction of chest diseases such as Pneumonia, COVID-19, and Tuberculosis (TB) from the X-ray images. The prediction of these diseases is analyzed with the support of three CNN Models such as VGG19, Resnet50V2, and Densenet201, and results are elaborated in the terms of Accuracy and Loss. Though all three models are highly accurate and consistent, considering the factors like architectural size, training speed, etc. Resnet50V2 is the best model for all three diseases. It trained with F1 score accuracies of 0.98,0.92,0.97 for pneumonia, tuberculosis, covid respectively. 2021 -
Chernobyl Disaster Optimizer-Based Optimal Integration of Hybrid Photovoltaic Systems and Network Reconfiguration for Reliable and Quality Power Supply to Nuclear Research Reactors
In view of the complexity and importance of nuclear research reactor (NRR) installations, it is imperative to uphold high standards of reliability and quality in the electricity being supplied to them. In this paper, the performance of low-voltage (LV) distribution feeders integrated with NRRs is improved in terms of reduced distribution loss, improved voltage profile, and reduced greenhouse gas (GHG) emissions by determining the optimal location and size of photovoltaic (PV) systems. In the second stage, the power quality of the feeder is optimized by reducing the total harmonic distortion (THD) by optimally allocating D-STATCOM units. In the third and fourth stages, the reliability and resilience aspects of the feeder are optimized using optimal network reconfiguration (ONR) and by integrating an energy storage system (ESS). To solve the non-linear complex optimization problems at all these stages, an efficient meta-heuristic Chernobyl disaster optimizer (CDO) is proposed. Simulations are performed on a modified IEEE 33-bus feeder considering the non-linear characteristics of NRRs, variability of the feeder loading profile, and PV variability. The study reveals that the proposed methodology can significantly improve the service requirements of NRRs for attaining sustainable research activities. 2024 by the authors. -
Chemistry and Biological Activities of Hibiscus sabdariffa L. Flowers
Hibiscus sabdariffa L. is one of the underutilized plants of the Malvaceae family, used for its nutritional and medicinal properties. Its native range spans central Africa, including the Central African Republic, Chad, Congo, Gabon, Ghana, Nigeria, and South Sudan, and naturalized globally. Traditionally, flowers are used as a food, either consumed fresh or prepared into various recipes. Flowers are also used in the preparation of beverages, fermented and herbal drinks, ice cream, jam, wine, cakes, puddings, chocolates, sauce, soup, and stew. The medicinal properties of the flowers are due to the presence of a wide array of bioactive compounds, such as anthocyanins, flavonoids and their glycosides, phenolic acids, terpenoids, alkaloids, coumarins, organic acids, vitamins, and fatty acids. A total of 78 secondary metabolites belonging to different phytochemical groups mentioned above have been identified in the flowers. The activity of H. sabdariffa flowers against hypertension, hyperlipidemia, cancer and tumours, oxidation, obesity, microbial infection, inflammation, and anaemia is reported extensively. The present chapter summarizes the distribution of H. sabdariffa and traditional uses, bioactive compounds, and pharmacological activities of its flowers. Further, the toxicological studies concerning flowers were also discussed. 2026 Hosakatte Niranjana Murthy. -
Chemically driven Rayleigh-Benard convection in a sparsely distributed porous medium saturated with a couple-stress fluid
The problem of Rayleigh-Benard convection in a couple-stress fluid saturated sparsely distributed porous medium with chemical reaction is studied within the framework of linear stability analysis. Only infinitesimal disturbances are considered. The linear stability analysis is based on the normal mode technique. The Darcy-Brinkman law is used to model the momentum equation. Closed form solution for the basic quiescent state is first obtained. The principle of exchange of stabilities is valid and the existence of oscillatory instability is ruled out. The expression for the stationary media-Rayleigh number is obtained as a function of the governing parameters, viz., the wave number, the couple-stress parameter, the Frank-Kamenetskii number, the porous parameter and the Brinkman number. The Galerkin method is used to determine the eigenvalues. The effect of various parameters on the stability of the fluid layer is discussed through figures. -
CHEMICALLY DRIVEN RAYLEIGH-B??NARD CONVECTION IN A CHEMICALLY DRIVEN RAYLEIGH-B??NARD CONVECTION IN A SPARSELY DISTRIBUTED POROUS MEDIUM SATURATED WITH A COUPLE-STRESS FLUID SPARSELY DISTRIBUTED POROUS MEDIUM SATURATED WITH A COUPLE-STRESS FLUID
The problem of Rayleigh-Benard convection in a couple-stress fluid saturated sparsely distributed porous medium with chemical reaction is studied within the framework of linear stability analysis. Only infinitesimal disturbances are considered. The linear stability analysis is based on the normal mode technique. The Darcy-Brinkman law is used to model the momentum equation. Closed form solution for the basic quiescent state is first obtained. The principle of exchange of stabilities is valid and the existence of oscillatory instability is ruled out. The expression for the stationary media-Rayleigh number is obtained as a function of the governing parameters, viz., the wave number, the couple-stress parameter, the Frank-Kamenetskii number, the porous parameter and the Brinkman number. The Galerkin method is used to determine the eigenvalues. The effect of various parameters on the stability of the fluid layer is discussed through figures. -
Chemical Reaction-Driven Ferroconvection in a Porous Medium
The effect of chemical reaction on the outset of convection of a ferromagnetic fluid in a horizontal porous layer which is heated from below is studied using small perturbation method. Assuming an exothermic zero-order chemical reaction, the eigenvalues are found by employing the Galerkin method. The effect of magnetic parameters and Frank-Kamenetskii number is discussed. It is established that both magnetic forces and chemical reaction accelerate the threshold of ferroconvection. Further, the fluid layer is destabilized marginally when the nonlinearity of magnetization is strong enough. 2021, Springer Nature Singapore Pte Ltd. -
Chemical reaction induced Rayleigh-Benard convection in a densely packed porous medium saturated with a couple-stress fluid
The problem of Rayleigh-Benard convection in a couple-stress fluid saturated densely packed porous medium with chemical reaction is studied within the framework of linear stability analysis. Only infinitesimal disturbances are considered. The linear stability analysis is based on the normal mode technique. The Darcy law is used to model the momentum equation. Closed form solution for the basic quiescent state is first obtained. The principle of exchange of stabilities is valid and the existence of oscillatory instability is ruled out. The expression for the stationary media-Darcy-Rayleigh number is obtained as a function of the governing parameters, viz., the wave number, the couple-stress parameter and the Frank-Kamenetskii number. The Galerkin method is used to determine the eigenvalues. The effect of various parameters on the stability of the fluid layer is discussed through figures. -
Chemical Reaction Effects on Nano Carreau Liquid Flow Past a Cone and a Wedge with Cattaneo-Christov Heat Flux Model
Chemical reaction aspect is utilized for heat mass transfer analysis of nano non-Newtonian liquid flow past a cone and a wedge. Flow is steady, laminar and two dimensional created due to a cone and a wedge. The Carreau liquid and Cattaneo-Christov heat flux models are utilized. The magneto-nano Carreau liquid material occupies the porous space. The relevant PDEs are rendered into coupled non-linear ODEs via appropriate transformations before treated them numerically through Runge-Kutta and Newton's method. The computed results are plotted for employing the various values of physical constraints on the profiles of velocity, temperature and nanoparticle volume fraction. Moreover, vitiation of the friction factor, Nusselt number and Sherwood number against physical parameters are presented numerically. It is figured out that convective heating and Brownian motion effects are constructive for thermal boundary layer growth. Aspect of chemical reaction is significant to control the solute layer growth and mass transfer rate. 2017 Walter de Gruyter GmbH, Berlin/Boston. -
Chemical leaching of an Indian bituminous coal and characterization of the products by vibrational spectroscopic techniques
High volatile bituminous coal was demineralized by a chemical method. The vibrations of the "aromatics" structure of graphite, crystalline or non-crystalline, were observed in the spectra at the 1600 cm -1 region. The band at 1477 cm -1 is assigned as VR band, the band at 1392 cm -1 as VL band and the band at 1540 cm -1 as GR band. Graphite structure remains after chemical leaching liberates oxygenated functional groups and mineral groups. The silicate bands between 1010 and 1100 cm -1 are active in the infrared (IR) spectrum but inactive in the Raman spectrum. Absorption arising from C-H stretching in alkenes occurs in the region of 3000 to 2840 cm -1. Raman bands because of symmetric stretch of water molecules were also observed in the spectrum at 3250 cm -1 and 3450 cm -1. Scanning electron microscopy analysis revealed the presence of a graphite layer on the surface. Leaching of the sample with hydrofluoric acid decreases the mineral phase and increases the carbon content. The ash content is reduced by 84.5wt% with leaching from its initial value by mainly removing aluminum and silicate containing minerals. University of Science and Technology Beijing and Springer-Verlag Berlin Heidelberg 2012. -
Chemical leaching of an indian bituminous coal and characterization of the products by spectroscopic techniques
Fourier transform infrared (FTIR) spectra of high volatile bituminous coal as well as their insoluble organic matter, obtained by chemical leaching with HF, EDTA and acid mixture (HF + HCl and HF + HNO3) were recorded between 500 and 4000 cm-1. UV-Visible-NIR spectroscopy was used to study the sample and its leached products in the 200-800 nm wavelength region. Oxygen containing structures were observed in the 1800-1000 cm-1 zone, aliphatic hydrogen in the 2920-2800 cm-1 zone, aromatic outof- plane structure in the 900-670 cm-1 zone. A great abundance of C=C structure was noticed at 1600 cm-1 region, while clay and silicate minerals were identified in the 540 cm-1 and 1030 cm-1 region. With chemical leaching silicate bands showed a decrease in intensity and were least for EDTA and HF leached samples. The UV-Visible -NIR spectrum showed absorption maximum at 235-270 nm and was shown a red shift with leaching. The II-II* electronic transitions of the poly-nuclear aromatic hydrocarbons was responsible for the absorption at 680 nm. The weak bands observed in the visible region (400-500 nm) were due to the presence of SO2 in the sample and decreased with chemical leaching. It was evident from the results that amongst the leachants used, hydrofluoric acid and acid mixture had significant effect in removing the mineral matter and oxygenated functional groups. -
Chemical fingerprinting of Peganum harmala seeds via UVVis, XRD, TGA, FTIR, and GC-MS techniques; In vitro assessment of cytotoxic properties
Peganum harmala L., a perennial herb traditionally valued for medicinal and ritual uses, was comprehensively profiled to elucidate its chemical composition and cytotoxic potential. Methanolic seed extracts contained diverse primary and secondary metabolites, including alkaloids, flavonoids, saponins, glycosides, steroids, proteins, and carbohydrates. Proximate analysis revealed high moisture (45.88 %) and crude fibre (18.39 %) with moderate fat (14.74 %) and protein (7.67 %) levels. Spectroscopic studies supported the presence of ?-carboline alkaloids: FTIR spectra showed characteristic functional group vibrations, UVVis displayed a strong absorption at 440 nm, and X-ray diffraction revealed semi-crystalline patterns enriched in harmine and harmaline. GCMS provided definitive chemical identification, detecting harmine (53.13 %) and harmaline (39.12 %) as major constituents. Thermal analyses (TGADTA and DTG) indicated multiphase decomposition typical of complex organic matrices. Cytotoxicity assessment using the MTT assay on L929 fibroblast cells demonstrated a dose-dependent decline in cell viability, with an LC50 of 243.9 ?g/mL, signifying moderatehigh cytotoxic potential. These findings validate the ethnomedicinal significance of P. harmala and underscore its promise for phytomedicine, nutraceutical applications, and pharmaceutical research, while highlighting the necessity of standardized and regulated use to ensure efficacy and safety. 2025 -
Chemical Demineralization of High Volatile Indian Bituminous Coal by Carboxylic Acid and Characterization of the Products by SEM/EDS
Journal of Environmental Research and Development, Vol-6 (3A), pp. 653-659. ISSN-0973-6921 -
Chemical castration: Justice for victims or justice for the rapist /
American Journal of Criminal Law, Vol.3, pp.1-5, ISSN No: 2581-5504. -
CHEMICAL REACTION INDUCED RAYLEIGH-B??NARD CONVECTION IN A DENSELY PACKED POROUS MEDIUM SATURATED WITH A COUPLE-STRESS FLUID
The problem of Rayleigh-Benard convection in a couple-stress fluid saturated densely packed porous medium with chemical reaction is studied within the framework of linear stability analysis. Only infinitesimal disturbances are considered. The linear stability analysis is based on the normal mode technique. The Darcy law is used to model the momentum equation. Closed form solution for the basic quiescent state is first obtained. The principle of exchange of stabilities is valid and the existence of oscillatory instability is ruled out. The expression for the stationary media-Darcy-Rayleigh number is obtained as a function of the governing parameters, viz., the wave number, the couple-stress parameter and the Frank-Kamenetskii number. The Galerkin method is used to determine the eigenvalues. The effect of various parameters on the stability of the fluid layer is discussed through figures. -
ChatGPT in education: Augmenting learning experience or dehumanizing education?
This chapter critically examines the potential of ChatGPT, an AI language model, to revolutionise education. It presents a comprehensive analysis of the advantages and disadvantages of using ChatGPT in education, including its ability to enhance the learning experience and the potential loss of essential skills due to over-reliance on technology. The chapter also raises ethical concerns about using ChatGPT in education, including data privacy and bias. Ultimately, the chapter concludes that ChatGPT should be used with human teachers to create a learning environment combining technology and human interaction. It highlights the importance of using ChatGPT responsibly to enhance, rather than dehumanise, education. 2024, IGI Global. All rights reserved. -
ChatGPT and virtual experience: Student engagement in online script writing-An experimental investigation among media students
To study and assess the immersive virtual environment experience of ChatGPT on student engagement in online script writing among media students, an experiment was conducted at the VR Experiential Lab, Christ University, between September 2023 and January 2024. The media students were tasked with writing a script for a short film within a VR environment, with ChatGPT displayed using an Oculus HMD (head-mounted display). A total of 180 students were recruited for the study through purposive sampling, and experiment photos are provided in the appendix. The data collection tool utilized was the virtual experience questionnaire developed by Tcha-Tokey. 2024, IGI Global. All rights reserved. -
ChatGPT and Me: A Dual Factor Examination
ChatGPT advances human-like conversations based on prompts and has been popular among students. ChatGPT offers advantages, but students have also experienced disadvantages, which affect their intention to use it. Drawing on this concern, this research uses a mixed-method approach. For study 1, 45 semi-structured interviews were conducted. Based on these responses, 10 constructs were identified. Using a Dual-factor approach, we categorized convenience, perceived enjoyment, perceived interactivity, learner autonomy, personalization and AI quality as Enablers and technological insecurity, poor information quality, diminishing critical thinking, and plagiarism as Inhibitors. For Study 2, data was collected through a questionnaire from 525 respondents. Structural equation modeling was employed to find support for all the Enablers and Inhibitors except plagiarism. The study also tested the moderating role of FOMO between enablers and students ChatGPT usage intention. This study contributes to the theoretical underpinnings of ChatGPT usage and provides practical implications for educators, learners and developers. 2025 International Association for Computer Information Systems. -
ChatGPT and Academia: Exploring the transformations and transitions
Since its launch in November 2022, this tool has brought massive transformations in almost every imaginable field. Among those fields, academia is perhaps the most discussed domain. However, much of what ChatGPT can do is still understudied. Therefore, this chapter aims to investigate the potential impact of ChatGPT in the domain of academia while exploring the possibilities for the future. The study emphasizes the theories that link ChatGPT's presence to its effects on academia and research. 2024, IGI Global. All rights reserved. -
Chatbots in health care: AI-based personalization and EHR integration in patientdoctor communication
The artificial intelligence (AI)-driven chatbots in healthcare integration revolutionizes patientprovider interactions for real-time support, communication streamline, and patient engagement. These chatbots connected to natural language processing (NLP) and machine learning provide medical queries resolution, chronic condition management, and scheduling appointments. Despite the advancements, there are gaps remain in the chatbot personalization interactions and Electronic Health Records (EHR) seamless integration. Personalization is crucial for satisfied patient and medical advice. EHR integration enables context-aware responses, error reduction, and better healthcare outcomes. This study effectiveness fosters the evaluation of AI-driven chatbots in healthcare communication personalization and potential benefits examination and EHR integration challenges. Using a mixed-methods approach includes sentiment analysis for patient satisfaction sentiments understanding, thematic analysis for key themes and findings from Patient Message, regression analysis for personalization, EHR integration, and patient outcomes understanding, and structural equation modeling (SEM) highlights the personalization and EHR integration impact on patient satisfaction, engagement, and trust in chatbot technology. The findings reinforcing the healthcare providers need to adopt AI-driven solutions and personalized communication priorities and seamless data integration for patient experience improvement and overall healthcare efficiency. 2026 Elsevier Inc. All rights reserved.