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                <text>Learning outcomes: On completion of this case study, students will be able to understand collaboration and synergy between farmers and organisations through value creation, like fundraising, based on the comprehension of the resource-based theory; understand the overview and concept of the value chain and supply chain management in the agribusiness to reduce costs of inventories; understand the concept of segmentation and positioning to increase revenue for organisations by leveraging existing resources  human and financial; and understand the branding strategy to create a sustainable competitive advantage for Suguna Foods. Case overview/synopsis: Suguna was started by two brothers, B. Soundararajan and G.B. Sundararajan, to help other farmers. Suguna, with just 200 broilers in 1984, grew to be the number 1 poultry company across India. Soundararajan was a pioneer and innovator who started contract farming in India in 1991. This model helped both the farmers and the company to became successful. The farmers always struggled to pay the cost of feed and other materials, as credit was not readily and easily available from financial institutions. Suguna helped farmers by providing feed, medicines, etc., free of cost in return for the good rearing of chickens. Because of the success of this venture, they decided to continue with it. Today, Suguna is a successful company that sells chicken, eggs and processed meat. They modernised the retail chain to supply consumers with fresh, healthy and hygienic meat. Sugunas vision was to Energize rural India by helping farmers succeed. They helped over 40,000 farmers from 15,000+ villages in 18+ Indian states. Although the growth helped both farmers and Suguna, the increased cost of raw materials for Suguna and increased input costs/power costs for farmers had to be tackled on a war footing so that both could have good income despite the increased inflation. Moreover, the retail price of live chicken was more or less stagnant in the past five years, especially after the start of the COVID-19 pandemic. Complexity academic level: This case can be used as the basis for a 90-min class discussion. This case study is suitable for use in an master of business administration course module or in an executive education program on developing an understanding of value creation in the business model in a rural market and also how the supply chain works. This case study can also be used to teach pricing, segmentation in marketing and supply chain perspectives and decision-making skills. Supplementary materials: Teaching notes are available for educators only. Subject code: CSS8: Marketing.  2023, Emerald Publishing Limited.</text>
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                <text>A S., Department of Business and Management, Christ (Deemed to be University), Bengaluru, India; Kumar S., Department of Business and Management, Christ (Deemed to be University), Bengaluru, India; Khanna S., Department of Business and Management, Christ (Deemed to be University), Bengaluru, India</text>
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                <text>corrugation; dual porosity; fractional-order derivative; nonlocal elasticity theory; Surface waves; viscoelasticity</text>
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                <text>This study focuses on the investigation of the dispersive and damping characteristics of surface waves through an irregular boundary of ocean bed composed of a fluid-saturated dual porosity/dual permeability material. The nonlocal fluid-saturated dual porosity/dual permeability layer (NFSDP2L) is confined by a nonlocal viscous liquid layer (NVLL) and a nonlocal viscous sandy substrate (NVSS) having fractional viscoelastic properties. The governing equations for the proposed model are derived using Eringens nonlocal theory. The complex frequency relation is obtained by applying the variable separation technique and enforcing appropriate boundary conditions. By dissociating the frequency relation into real (dispersion equation) and imaginary (attenuation equation) parts, graphs are generated to illustrate the influence of several key parameters., viz. nonlocality, porosity, sandiness, fractional-order, fluctuation, flatness, and position on the fundamental and higher modes of propagating waves. The effects of various parameters are also depicted through the graphical illustration of shear wave speed in NFSDP2L and NVSS. Furthermore, the surface response of shear stress against depth within the layered structure has been graphically illustrated. The validity of our mathematical model has been assessed by examining multiple relevant scenarios.  2025 Taylor &amp;amp; Francis Group, LLC.</text>
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                <text>A. R M.; Dutta R.; Gupta V.; Singhal A.; Craciun E.-M.; Das S.</text>
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                <text>Mechanics of Advanced Materials and Structures</text>
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                <text>&lt;a href="https://doi.org/10.1080/15376494.2024.2440131" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1080/15376494.2024.2440131&lt;/a&gt;
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                <text>ISSN: 15376494</text>
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                <text>A. R M., School of Physical Sciences, Amrita Vishwa Vidyapeetham, Karnataka, Mysuru, India; Dutta R., Amrita School of Computing, Amrita Vishwa Vidyapeetham, Karnataka, Mysuru, India; Gupta V., Department of Mathematics, Gurugram University, Gurugram, India; Singhal A., Department of Mathematics, Christ University, Bangalore, India; Craciun E.-M., Faculty of Mechanical, Industrial and Maritime Engineering, Ovidius University of Constanta, Constanta, Romania, Academy of Romanian Scientists, Bucharest, Romania; Das S., School of Physical Sciences, Amrita Vishwa Vidyapeetham, Karnataka, Mysuru, India</text>
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                <text> Imperative of revisiting the operational risk control architecture in public sector banks (PSBs) in India: A qualitative analysis /</text>
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                <text>Management-Banking</text>
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                <text>Banks And Bank Systems, Vol.14, Issue 14, Part 1, pp.137-146</text>
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                <text>A. Shivakanth Shetty, Nagendra B. V., Jeevananda S. and Divakar G. M.</text>
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                <text>&lt;a href="https://www.businessperspectives.org/index.php/journals/banks-and-bank-systems/issue-308/imperative-of-revisiting-the-operational-risk-control-architecture-in-public-sector-banks-psbs-in-india-a-qualitative-analysis" target="_blank" title="Imperative of revisiting the operational risk control architecture in public sector banks (PSBs) in India: A qualitative analysis" rel="noreferrer noopener"&gt;https://www.businessperspectives.org/index.php/journals/banks-and-bank-systems/issue-308/imperative-of-revisiting-the-operational-risk-control-architecture-in-public-sector-banks-psbs-in-india-a-qualitative-analysis&lt;/a&gt;</text>
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                <text>Effects of supply chain integration on firm's performance: A study on micro, small and medium enterprises in India /</text>
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                <text>Management</text>
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                <text>Uncertain Supply Chain Management, Vol.8, Issue 1, pp.231-240, ISSN No: 2291-6830.</text>
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                <text>A. Subburaj, V.P. Sriram and Sangeeta Mehrolia</text>
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                <text>&lt;a href="http://growingscience.com/beta/uscm/3509-effects-of-supply-chain-integration-on-firms-performance-a-study-on-micro-small-and-medium-enterprises-in-india.html" target="_blank" title="Effects of supply chain integration on firm's performance: A study on micro, small and medium enterprises in India" rel="noreferrer noopener"&gt;http://growingscience.com/beta/uscm/3509-effects-of-supply-chain-integration-on-firms-performance-a-study-on-micro-small-and-medium-enterprises-in-india.html&lt;/a&gt;</text>
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                <text>Growing  Science</text>
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            <name>Date</name>
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                <text>0202-12-30</text>
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                <text>Peers, Parents and Families as agents of influence on adolescents perspectives towards people with Mental Health Problems: Mental Health Professionals Views</text>
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                <text>Adolescents; Attitudes; Mental health professionals; Peers experiencing mental health problems; Stigma</text>
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                <text>Purpose: This study aims to explore mental health professionals views on adolescent attitudes towards their peers with mental health problems and the influence of parental, familial and societal environments on these attitudes. Design/methodology/approach: A qualitative research design was used. Semi-structured interviews were conducted with seventeen mental health professionals in Bangalore, India, with at least two years of experience working with adolescents. Thematic analysis was used to analyze the interview data. Findings: Mental health professionals reported diverse adolescent attitudes towards peers with mental health issues, ranging from support to bullying and exclusion. Family dynamics, peer influence and societal stigma were identified as significant factors shaping these attitudes. Research limitations/implications: The remote interviews during the pandemic limited access to non-verbal cues and work settings. The study focused on professionals' views from Bangalore, not capturing the diverse needs of adolescents across India. Additionally, practitioners from urban settings might not represent the challenges of their rural counterparts. The high concentration of female participants hinders generalisability. Variable interview lengths and participant openness might introduce bias, likely influenced by experience and views on mental health awareness. Practical implications: The findings underscore that adolescents' views on peer mental health are crucial for mental health professionals to design targeted interventions and support systems. Implementing programs that raise mental health awareness and reduce stigma can benefit schools and communities. Social implications: This study highlights the necessity of a holistic strategy to tackle adolescent mental health. Creating supportive peer environments, encouraging open family communication, and combating societal stigma can foster a more inclusive and mentally healthy society for adolescents. Originality/value: This study contributes to the growing body of research on adolescent mental health by providing insights into professionals views of peer attitudes. It highlights the need for interventions addressing family stigma, promoting open communication and using social media for awareness.  2024, Emerald Publishing Limited.</text>
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                <text>A.S M.; N.T S.</text>
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                <text>Journal of Public Mental Health, Vol-23, No. 4, pp. 316-329.</text>
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                <text>&lt;a href="https://doi.org/10.1108/JPMH-04-2024-0048" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1108/JPMH-04-2024-0048&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206371455&amp;amp;doi=10.1108%2FJPMH-04-2024-0048&amp;amp;partnerID=40&amp;amp;md5=b1fbabdc2dd699323af598522f5ed045" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206371455&amp;amp;doi=10.1108%2fJPMH-04-2024-0048&amp;amp;partnerID=40&amp;amp;md5=b1fbabdc2dd699323af598522f5ed045&lt;/a&gt;</text>
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                <text>ISSN: 17465729</text>
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                <text>A.S M., School of Psychological Sciences, Christ University, Bangalore, India; N.T S., Department of Psychology School of Psychological Sciences, CHRIST (Deemed to be University), Bangalore, India</text>
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                <text> A study of interrelation of psychological factors and demographic variables and its impact on compulsive buying behavior: A marketing perspective /</text>
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                <text>Journal of Business And Retail Management Research, Vol.13, Issue 3, pp.58-69, ISSN No: 1751-8202.</text>
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                <text>&lt;a href="https://jbrmr.com/details&amp;amp;cid=460" target="_blank" title="A study of interrelation of psychological factors and demographic variables and its impact on compulsive buying behavior: A marketing perspective" rel="noreferrer noopener"&gt;https://jbrmr.com/details&amp;amp;cid=460&lt;/a&gt;</text>
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                <text>Effects of variable viscosity and rotation modulation on ferroconvection</text>
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                <text>We theoretically explore the dynamics of a ferrofluid with temperature and magnetic field-dependent viscosity, which is in a RayleighBard situation and is subjected to rotation. The problem considers both sinusoidal and non-sinusoidal time-periodic variations of rotation to study the onset and post-onset regimes of RayleighBard ferroconvection. We perform a weakly nonlinear stability analysis using a truncated Fourier series representation and arrive at the third-order Lorenz system for ferrofluid convection with variable viscosity. By using the linearized form of the Lorenz system for ferrofluid convection with variable viscosity, we arrive at the critical Rayleigh number to study the onset of rotating ferroconvection. The heat transport is quantified in terms of the time-averaged Nusselt number and the effects of various parameters on it are studied. The effect of modulated rotation is found to have a stabilizing effect on the onset of ferroconvection while that of variable viscosity has a destabilizing effect. The effects of magnetorheological and thermorheological effects are antagonistic in nature. It is found that the square waveform modulation facilitates maximum heat transport in the system due to advanced onset of ferroconvection.  2021, Akadiai Kiad Budapest, Hungary.</text>
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                <text>Aanam A N.; Siddheshwar P.G.; Nagouda S.S.; Pranesh S.</text>
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                <text>Journal of Thermal Analysis and Calorimetry, Vol-147, No. 7, pp. 4667-4682.</text>
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                <text>Aanam A N., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 29, India; Siddheshwar P.G., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 29, India; Nagouda S.S., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 29, India; Pranesh S., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 29, India</text>
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                <text>Thermoconvective instability in a vertically oscillating horizontal ferrofluid layer with variable viscosity</text>
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                <text>ferrofluid; g-jitter; magnetic numbers; magnetorheological; modulation; sawtooth; sinusoidal; thermorheological; variable viscosity; waveforms</text>
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                <text>The paper sheds light on the linear and nonlinear stability of a ferrofluid with the temperature and magnetic-field-dependent viscosity subjected to an imposed time-periodic gravity modulation. The perturbations in the system due to external reasons are expanded in terms of the amplitude of modulation in the case of linear stability and a truncated representation of the Fourier series in the case of nonlinear stability. A nonautonomous Lorenz model for the problem is first obtained, and both linear and nonlinear analyses of the system are performed using this. The expression for the critical Rayleigh number, (Formula presented.), and the correction Rayleigh number, (Formula presented.), is found from the linearized Lorenz model. The Lorenz system of equations is solved for the amplitude to arrive at the Nusselt number (Nu), which quantifies the heat transport. In the study we find that the thermorheological effect and the magnetization effect work in unison to destabilize the system, while the magnetorheological effect and the effect of vertical oscillations stabilize the system. The influence of the parameters on the heat transport is the opposite to their effect on the critical Rayleigh number. The results of the paper agree quite well with those of limiting cases.  2020 Wiley Periodicals LLC</text>
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                <text>Heat Transfer, Vol-49, No. 8, pp. 4543-4564.</text>
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                <text>Aanam A N., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Siddheshwar P.G., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Nagouda S.S., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Pranesh S., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, Karnataka, India</text>
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                <text>Blockchain is mechanism which stores and exchange data in a peer-peer network serving as an immutable ledger allowing transactions to take place in decentralized method which neglects the role of intermediaries. The technology reduces greater complexity by combining three key features; security, decentralization and transparency. This paper is an attempt explaining the concepts, structure, applications and challenges the technology has. The paper introduces blockchain taxonomy, reviews applications and discussed technical challenges and way of handling these challenges. Blockchain technology is springing up with promising applications in various fields and the authors have explored about three emerging field of blockchain say; Education, Government and Healthcare. Finally the paper concludes by stating other emerging fields of applications where further research can be explored.  International Research Publication House.</text>
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                <text>Dynamical analysis of a model of social behavior: Criminal vs non-criminal population</text>
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                <text>Criminal-minded population; Logistic growth; Prey predator model; Stability analysis</text>
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                <text>In this paper, we construct a model motivated by the well known predator-prey model to study the interaction between criminal population and non-criminal population. Our aim is to study various possibilities of interactions between them. First we model it using simple predator-prey model, then we modify it by considering the logistic growth of non-criminal population. We clearly deduce that the model with logistic growth is better than classical one. More precisely, the role of carrying capacity on the dynamics of criminal minded population is discussed. Further, we incorporate law enforcement term in the model and study its effect. The result obtained suggest that by incorporating enforcement law, the criminal population reduces from the very beginning, which resembles with real life situation. Our result indicates that the criminal minded population exist as long as coefficient of enforcement lc does not cross a threshold value and after this value the criminal minded population extinct. In addition, we also discuss the occurrence of saddle-node bifurcation in case of model system with law enforcement. Numerical examples and simulations are presented to illustrate the obtained results.  2017 Elsevier Ltd</text>
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                <text>Abbas S.; Tripathi J.P.; Neha A.A.</text>
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                <text>Chaos, Solitons and Fractals, Vol-98, pp. 121-129.</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.chaos.2017.03.027" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.chaos.2017.03.027&lt;/a&gt;
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                <text>Abbas S., School of Basic Sciences, Indian Institute of Technology Mandi, Mandi, 175001, H.P., India; Tripathi J.P., Department of Mathematics, Central University of Rajasthan, NH-8, Bandarsindri, Kishangarh, Distt., Ajmer, 305801, Rajasthan, India; Neha A.A., Department of Mathematics, Christ University, Bengaluru, 560029, Karnataka, India</text>
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                <text>Journal of Fluorescence, Vol.32, pp.1109–1124, ISSN No: 1573-4994.&#13;
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                <text>A proposed framework for crop yield prediction using hybrid feature selection approach and optimized machine learning</text>
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                <text>CFS; Crayfish optimization; Crop yield prediction; Feature selection; Hyperparameter optimization; Information gain; Machine learning; Support vector machine; Support vector regression</text>
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                <text>Accurately predicting crop yield is essential for optimizing agricultural practices and ensuring food security. However, existing approaches often struggle to capture the complex interactions between various environmental factors and crop growth, leading to suboptimal predictions. Consequently, identifying the most important feature is vital when leveraging Support Vector Regressor (SVR) for crop yield prediction. In addition, the manual tuning of SVR hyperparameters may not always offer high accuracy. In this paper, we introduce a novel framework for predicting crop yields that address these challenges. Our framework integrates a new hybrid feature selection approach with an optimized SVR model to enhance prediction accuracy efficiently. The proposed framework comprises three phases: preprocessing, hybrid feature selection, and prediction phases. In preprocessing phase, data normalization is conducted, followed by an application of K-means clustering in conjunction with the correlation-based filter (CFS) to generate a reduced dataset. Subsequently, in the hybrid feature selection phase, a novel hybrid FMIG-RFE feature selection approach is proposed. Finally, the prediction phase introduces an improved variant of Crayfish Optimization Algorithm (COA), named ICOA, which is utilized to optimize the hyperparameters of SVR model thereby achieving superior prediction accuracy along with the novel hybrid feature selection approach. Several experiments are conducted to assess and evaluate the performance of the proposed framework. The results demonstrated the superior performance of the proposed framework over state-of-art approaches. Furthermore, experimental findings regarding the ICOA optimization algorithm affirm its efficacy in optimizing the hyperparameters of SVR model, thereby enhancing both prediction accuracy and computational efficiency, surpassing existing algorithms.  The Author(s) 2024.</text>
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                <text>Abdel-salam M.; Kumar N.; Mahajan S.</text>
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                <text>Neural Computing and Applications, Vol-36, No. 33, pp. 20723-20750.</text>
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                <text>Abdel-salam M., Faculty of Computer and Information Science, Mansoura University, Mansoura, Egypt; Kumar N., Department of CSE, Thapar Institute of Engineering and Technology, Deemed to Be University, Patiala, 147004, India; Mahajan S., Department of Computer Science, CHRIST (Deemed to be University), Delhi-NCR, India</text>
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                <text>Arrhenius activation energy; Homotopy analysis method; Newtonian heating; Sensitivity analysis; Stefan blowing</text>
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                <text>The characteristics of Stefan blowing effects in a magneto-hydrodynamic flow of a Casson fluid past a stretching sheet are investigated. The effects of radiation, heat source/sink, Newtonian heating, Arrhenius activation energy and binary chemical reaction are considered for heat and mass transfer analysis. The homotopy analysis method (HAM) was utilised to solve the transformed non-dimensionalized equations analytically. The impact of various physical parameters affecting the flow are investigated. Further, the relationship of various parameters on the skin friction and rate of heat and mass transfer was explored using correlation and probable error. A sensitivity analysis was carried out based on the Response Surface Methodology to analyse the effect of Stefan blowing parameter, magnetic parameter and stretching/shrinking parameter on the reduced Nusselt number and reduced Sherwood number. A constant positive sensitivity for the reduced Nusselt number towards the Stefan blowing parameter for all levels of magnetic parameter and stretching/shrinking parameter was found. Further, the reduced Sherwood number indicated a negative sensitivity towards the Stefan blowing parameter.  2020 Faculty of Engineering, Alexandria University</text>
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                <text>Alexandria Engineering Journal, Vol-59, No. 5, pp. 3991-4011.</text>
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                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 11100168</text>
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                <text>Abdelmalek Z., Institute of Research and Development, Duy Tan University, Da Nang, 550000, Viet Nam, Faculty of Medicine, Duy Tan University, Da Nang, 550000, Viet Nam; Mahanthesh B., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, 560029, Karnataka, India; Md Basir M.F., Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, UTM Johor Bahru, 81310, Malaysia; Imtiaz M., Department of Social and Behavioral Sciences, National University of Medical Sciences, Rawalpindi, Pakistan; Mackolil J., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, 560029, Karnataka, India; Khan N.S., Department of Mathematics, Abdul Wali Khan University, Mardan, 23200, Khyber Pakhtunkhwa, Pakistan; Nabwey H.A., Department of Mathematics, College of Science and Humanities in Al-Kharj, Prince Sattam bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia, Department of Basic Engineering Science, Faculty of Engineering, Menoufia University, Shebin El-Kom, 32511, Egypt; Tlili I., Department of Mechanical and Industrial Engineering, College of Engineering, Majmaah University, Al-Majmaah, 11952, Saudi Arabia</text>
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                <text>This article focuses on providing solutions for one important application termed as agriculture. In India, one major occupation for people living in urban and rural areas is agriculture where an economic rate depends only on the crops they yield. In such cases, if an intelligent monitoring device is not integrated then it becomes difficult for the farmers to grow their crops and to accomplish marginal income from what they have invested. Also existing methods have been analyzed in the same field where some devices have been installed and checked for increasing the productivity of horticulture crops. But existing methods fail to install an intelligent monitoring device that can provide periodic results within short span of time. Therefore, a sensor based technology with Internet of Things (IoT) has been implemented in the projected work for monitoring major parameters that support the growth and income of farmers. Also, an optimization algorithm for identifying the loss in different crops has been incorporated for maximizing the system boundary and to transmit data to farmers located in different areas. To prove the cogency of proposed method some existing methods have been compared and the results prove the projected technique produces improved results for about 58%.   2022 SulaimaLebbe Abdul Haleem et al.</text>
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                <text>Abdul Haleem S.; Kshirsagar P.R.; Manoharan H.; Prathap B.; Hemalatha S.; Pradeep Kumar K.; Tirth V.; Islam S.; Katragadda R.; Amibo T.A.</text>
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                <text>Scientific Programming, Vol-2022</text>
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                <text>&lt;a href="https://doi.org/10.1155/2022/9099163" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1155/2022/9099163&lt;/a&gt;
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                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 10589244; CODEN: SCIPE</text>
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                <text>Abdul Haleem S., Department of Information and Communication Technology, South Eastern University of Sri Lanka (SEUSL), Oluvil, Sri Lanka; Kshirsagar P.R., Department of Artificial Intelligence, G. H. Raisoni College of Engineering, Nagpur, 440016, India; Manoharan H., Department of Electronics and Communication Engineering, Panimalar Institute of Technology, Poonamallee, Tamil Nadu, Chennai, India; Prathap B., Department of Computer Science and Engineering, CHRIST University, Bangalore, India; Hemalatha S., Department of Computer Science and Engineering, Panimalar Institute of Technology, Chennai, India; Pradeep Kumar K., Department of Computer Science and Engineering, Panimalar Institute of Technology, Chennai, India; Tirth V., Mechanical Engineering Department, College of Engineering, King Khalid University, Asir, Abha, 61411, Saudi Arabia; Islam S., Civil Engineering Department, College of Engineering, King Khalid University, Asir, Abha, 61411, Saudi Arabia; Katragadda R., Department of Business Management, V. R. Siddhartha Engineering College, Andhra Pradesh, Vijayawada, India; Amibo T.A., School of Chemical Engineering, Jimma Institute of Technology, Jimma University, Oromia, Jimma, Ethiopia</text>
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