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                <text>An investigation into the causes of non compliance with labour laws by zimbabwean local authorities  </text>
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                <text>The current research; which I carried out in Mashonaland East Province of Zimbabwe between 2012 and 2014 was prompted by the surge newlinein labour related disputes in sub-national governments in Zimbabwe as well as the evident poor levels of compliance to labour laws by local authorities which also happen to be a poorly rated sector of the economy in terms of service delivery. In carrying out the study, I was guided by the following newlineresearch objectives: to identify the challenges being faced by Zimbabwean newlinelocal authorities in complying with the labour laws, to establish the extent to which non compliance affects labour relations in local government in Zimbabwe, to ascertain the impact of non-compliance on service delivery and finally to assess the government monitoring aspect. The targeted population for the study comprised all the ten local authorities and ministry of local government employees from the province. The study mainly newlineemployed the exploratory research design and I found that non-compliance with labour laws by Zimbabwean local authorities was not only as a result of the quality of labour relations and management systems (internal controls and corruption) but also lack of governmental financial support, political newlineinterference, skills migration (brain drain), increased poverty (economic meltdown) and high unemployment rate. In light of the research findings, I recommend that the government formulates deliberate policies to re-engage the international community as this will help attract foreign direct investment; thereby reducing poverty, unemployment, skills migration and corruption. I also recommend an increase in the financial support by government to its sub national governments. There should also be total newlinedecentralization of all sub national governments to ensure efficiency and newlinenon-interference with local authorities operations.</text>
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                <text>Lunga, Clifton.</text>
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                <text>Christ(Deemed to be University)</text>
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                <text>N, Elangovan.</text>
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                <text>&lt;a href="http://hdl.handle.net/10603/423335" target="_blank" rel="noreferrer noopener"&gt;http://hdl.handle.net/10603/423335&lt;/a&gt;</text>
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                <text>Giriprasath, R.S.; Umesh, B.C.; Vinay, T.V.; Jeevitha, D.; Manjula, B.S.; Ranchana, P.; Suresh, V.</text>
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                <text>An Investigation into the Effects of Varying Seasons, Indole-3-Butyric Acid (IBA) and Rooting Media on the Rooting and Longevity of Air-layered Water Apples (Syzygium samarangense L.)</text>
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                <text>Agricultural Science Digest;Volume;45;Issue;1;pp.48-53</text>
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                <text>Giriprasath R.S., Division of Horticulture, Department of Agriculture, School of Agricultural Sciences, Karunya Institute of Technology and Sciences, Tamil Nadu, Coimbatore, 641 114, India; Umesh B.C., Division of Horticulture, Department of Agriculture, School of Agricultural Sciences, Karunya Institute of Technology and Sciences, Tamil Nadu, Coimbatore, 641 114, India; Vinay T.V., Business Analytics, School of Business and Management, Christ University, Karnataka, Bangalore, 560 029, India; Jeevitha D., Division of Horticulture, Department of Agriculture, School of Agricultural Sciences, Karunya Institute of Technology and Sciences, Tamil Nadu, Coimbatore, 641 114, India; Manjula B.S., Division of Horticulture, Department of Agriculture, School of Agricultural Sciences, Karunya Institute of Technology and Sciences, Tamil Nadu, Coimbatore, 641 114, India; Ranchana P., Division of Horticulture, Department of Agriculture, School of Agricultural Sciences, Karunya Institute of Technology and Sciences, Tamil Nadu, Coimbatore, 641 114, India; Suresh V., Division of Horticulture, Department of Agriculture, School of Agricultural Sciences, Karunya Institute of Technology and Sciences, Tamil Nadu, Coimbatore, 641 114, India</text>
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                <text>Background: The variation observed in sexual propagation often results in slow growth and fruit development, attributed partly to insufficient photosynthates during early growth stages. To address this challenge, vegetative propagation methods such as air layering offer promising solutions. This technique not only accelerates productivity but also enhances the quality of water apples. Recognizing the importance of air layering in water apple cultivation, this experiment was conducted to standardize this technique by examining the impact of different seasons and planting media in the western tropical wet and dry climate of Tamil Nadu. Methods: The study was conducted to evaluate the variables affecting air layering in water apples in Coimbatore district. The experiment was carried out with three different factors like seasons [August (S1), September (S2) and October (S3)] and IBA [applied at different concentrations of 2000 mg/L (I1), 3000 mg/L (I2) and 4000 mg/L (I3)] along with different rooting media: Cocopeat (M1) and Sphagnum moss (M2). The factorial randomized complete block design (FRCBD) was laid out for statistical analysis. Result: Sphagnum moss performed as a better rooting medium due to its high water holding capacity and good aeration. Increase in the number and early formation of roots were due to more rain fall and high relative humidity in August, that resulted in more nutrient uptake and structural stability. The discovery aids in determining the optimal conditions, including season, dosage and combination (4000 mg/L IBA with sphagnum moss applied in August), for successful air layering in water apple.  2025, Agricultural Research Communication Centre. All rights reserved.</text>
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                <text>Asexual propagation; August; Clone; Gootee; Interaction; Root initiation; Rose apple; Sphagnum moss; Wax apple</text>
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                <text>Venugopal, Sowmya; Anand, Asha</text>
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                <text>An Investigation into the Irrigation Capability of Treated Wastewater by Monitoring the Growth of Cicer arietinum (Chickpea)</text>
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                <text>Indian Journal of Environmental Protection;Volume;45;Issue;12;pp.1102-1116</text>
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                <text>Venugopal S., Christ University, Department of Life Sciences, Karnataka, Bangalore, 560 029, India; Anand A., Christ University, Department of Life Sciences, Karnataka, Bangalore, 560 029, India</text>
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                <text>This study compared the effects of treated wastewater and Hoagland nutrient media on chickpea growth. Results showed that Hoagland media created a more favourable environment, with higher protein levels and carbohydrate content. Antioxidant enzyme activity varied, with SOD activity increasing in both samples. Heavy metal analysis revealed higher lead concentrations in treated wastewater. The findings have implications for sustainable irrigation practices and environmental protection. Treated wastewater can be a viable irrigation option, but careful management is necessary to prevent adverse effects on plant growth and human health. Cautious use of treated wastewater in agriculture is essential for safe and sustainable crop production.   2025 - Kalpana Corporation.</text>
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                <text>Atomic absorption spectroscopy; Biochemical analysis; Chickpea; Enzymatic and non-enzymatic assays; Treated wastewater</text>
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                <text>The advent of Artificial Intelligence (AI) has revolutionized various industries, offering unprecedented opportunities for innovation and entrepreneurship. This investigation delves into the pivotal role of AI-based innovation in nurturing and empowering the next generation of startup entrepreneurs.AI technologies, including machine learning, natural language processing, and computer vision, have significantly augmented the capabilities of startups across diverse sectors. This study aims to elucidate the multifaceted ways in which AI fosters entrepreneurial endeavors, from ideation to market penetration.AI algorithms enable startups to analyze vast datasets swiftly, extracting valuable insights that inform strategic decision-making and product development. Through predictive analytics and trend forecasting, entrepreneurs can anticipate market demands, optimize resource allocation, and mitigate risks, thereby enhancing the viability and competitiveness of their ventures.AI facilitates personalized customer experiences, driving customer engagement and retention for startups. By leveraging AI algorithms to analyze user behavior and preferences, entrepreneurs can deliver tailored products, services, and marketing campaigns, fostering brand loyalty and customer satisfaction.The integration of AI into startup ecosystems also presents various challenges, including ethical considerations, data privacy concerns, and regulatory complexities. Therefore, this investigation also explores the ethical implications and regulatory frameworks surrounding AI-based entrepreneurship, advocating for responsible innovation practices and stakeholder collaboration.  2024, Collegium Basilea. All rights reserved.</text>
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                <text>Samal A., Dept of MBA, Sri Venkateshwara College of engineering, Bangalore, India; Radhakrishna H., Department: MBA, REVA University, India; Rajimol K.P., Department of MBA, Atria Institute of Technology, India; Lakshmi S.R., Christ University, Bangalore, India; Mehrotra D., Faculty of Management and Commerce, Jagran Lake city University, Bhopal, India; Girish H.S., Bapu degree college, Department of Commerce and Management, Treveni Road Yashwantpura, Banglore, India</text>
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                <text>The relationship between gene modules and several genome-scale metrics was examined, including heterozygosity that caused type 2 diabetes due to insulin deuteration, differential expression, genotyping association, methylation, and copy number changes. This work investigates the complex relationships between protein expression, genetic polymorphisms, and metabolic properties of human islet cells using expression quantitative trait loci (eQTL) detection. We looked at the genomic, transcriptomic, and proteomic information from islet cells in persons with type 2 diabetes. From the information from different levels, we noticed novel eQTLs that regulate crucial metabolic and signaling pathways in islet cells. Our study highlights the importance of a systems-level approach in understanding the complicated biological processes by highlighting the complexity of the link between genetic variants, protein expression, and metabolic abnormalities using the PIMA Indian dataset. Our findings provide novel insights into the molecular mechanisms behind islet cell failure in type 2 diabetes, potential targets for emerging treatment strategies, and the genomic implications of variations in gene expression, mutations, and other factors. To accomplish this purpose, we proposed a novel BLB model and obtained 99.89%.  2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.</text>
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                <text>SN Computer Science, Vol-4, No. 6</text>
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                <text>Padmaja K., Department of CSE, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Mukhopadhyay D., Department of CSE, CHRIST (Deemed to be University), Karnataka, Bangalore, India</text>
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                <text>An Investigation of Multifractality and Herd Behaviour in Indian Capital Market During Macro-Political Events : An Empirical Evidence Through Econophysics Approach   </text>
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                <text>The financial markets worldwide exhibit several complex and dynamic features in them. Among them, Multifractality is one of the most significant features of complex systems, and it has been identified and examined in the financial markets in recent years. Besides, studies in the past confirm that there exists a linkage between multifractality and herding behaviour in financial markets during extreme events. The current study attempts to investigate the presence of Multifractality caused by herding behaviour in the segments of the Indian capital market during the macro-political events. For this, the macro- political events were classified into three broad categories pre-scheduled events, intensified geopolitical events and uncertain macro-political events. Further, two major segments of the Indian capital market, namely, the equity and the Forex segment, were examined. The study employed the Multifractal Detrended Fluctuation Analysis approach to examine the Multifractality caused by herding behaviour during macro-political events. In addition, the study also measured the volatility surface and quantified the information uncertainty present in the selected segments of the Indian capital market. The findings suggest that the macro-political events impact the multifractality and herding behaviour in the examined segments of the Indian capital market. However, the degree of the multifractality caused by the herding behaviour traced in the market segments is event-specific. It differs based on the type of macro-political event. The overall analysis suggests that the pre-scheduled macro-political event's impact was higher for both equity and forex segments of the Indian capital market. Further, a high degree of multifractality caused by herding behaviour was traced in the Nifty segments during the intensified geopolitical events. On the other hand, uncertain macro-political events had no impact on the multifractality caused by the herding behaviour in equity and forex segments. The study results provide some significant implications for various market participants for investment decision-making and portfolio risk diversification during the macro-political events in India.
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                <text>&lt;a href="http://hdl.handle.net/10603/465465" target="_blank" rel="noreferrer noopener"&gt;http://hdl.handle.net/10603/465465&lt;/a&gt;</text>
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                <text>International Journal Of Science And Research, Vol.3, Issue 6, pp.1052-1063, ISSN No: 2319-7064.</text>
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                <text>Prolonged exposure to stress can cause impairments in various brain functions including cognition. Attention is one such important cognitive function that is required for our daily life and work-related activities. Chronic stress can have an impact on attention networks such as alerting, executive control, and orienting. The effects of naturalistic, persistent psychosocial stress on several attention networks were explored in this study. Parents of children with neurodevelopmental disorders (NDD) and parents of children with typical development (TD) were given an attention network test (ANT). Overall the stressed group (M= 564.623, SD= 75.484) was found to have a quicker reaction time in all the target and cue conditions whencompared to the non-stressed group (M= 588.874, SD= 101.575). Both groups had similar accuracy in all the conditions. When comparing the three attention network scores, no significantdifference was found in either group. However, in the stressed group, there was a significant beneficial relationship between the alerting and orienting networks (p=.006) and a high negative correlation between the alerting and executive control networks (p=.028). No significant correlation was found between the attention networks in the non-stressed group. Copyright2024 by authors, all rights reserved.</text>
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                <text>Ranganathan M.; Jacob A.; Ashraf A.K.M.; Kumar G.J.; Anthony M.; Vijay M.; Kumari R.B.; Annapally S.R.</text>
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                <text>Universal Journal of Public Health, Vol-12, No. 1, pp. 37-50.</text>
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                <text>Ranganathan M., Department of Psychology, CHRIST (Deemed to be University), India; Jacob A., Department of Psychology, CHRIST (Deemed to be University), India; Ashraf A.K.M., Department of Social Work, Faculty of Health Science, Istanbul Gelisim University, Turkey; Kumar G.J., Department of Psychology, CHRIST (Deemed to be University), India; Anthony M., Department of Psychology, CHRIST (Deemed to be University), India; Vijay M., Department of Psychology, CHRIST (Deemed to be University), India; Kumari R.B., School of Psychology, Gangadhar Meher University, India; Annapally S.R., Jindal School of Psychology and Counselling, Jindal Global University, India</text>
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                <text>      This research explores the usage of heterogeneous computing, which is the current trend in the computing industry, for the 3D compute based on the collaborative algorithm. As a part of literature review the areas related to the heterogeneous computing is investigated, which includes OpenCL, General Purpose Graphical Processing Unit [ GPGPU ], collaborative algorithm. The novelty of this research work is the application of collaborative algorithms, which have been used in other areas to 3D compute. 

     This exploration of 3D compute algorithm was part of the exercise in order to find the suitable 3D compute algorithm for the monocular image to binocular image conversation engine. Here the two algorithms, i.e., intelligent water drops and zombie crowd algorithm were implemented using OpenCL to run on heterogeneous platform. The performance of both the algorithm was measured on the experimental setup rig.

      Based on the above research exercise, it can be inferred that, the collaborative algorithm can indeed be suitable for 3D compute and it can be also noted that each algorithm is suitable for particular 3D compute. 



KEYWORDS: Heterogeneous Computing, GPGPU, OpenCL, Collaborative Algorithm

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                <text>An Investigation on Machine Learning Models in Classification and Identifications Cervical Cancer Using MRI Scan</text>
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                <text>cervical cancer; classification; machine learning; medical imaging; preprocessing</text>
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                <text>This study analyzes the effectiveness of machine learning models in the classification of cervical cancer using a dataset of 900 cancer and 200 non-cancer images gathered from online resources and hospitals. The dataset, covering both CT and MRI images, undergoes rigorous preprocessing, including standardization, normalization, and noise reduction, to enhance its quality for model training. Four machine learning models, namely VGG16, CNN, KNN, and RNN, are recruited to predict cancer and non-cancer cases. During the testing phase, VGG16 emerges as the most accurate, achieving an impressive accuracy of 95.44%, followed by CNN at 92.3%, KNN at 89.99%, and RNN at 86.233%. Performance parameters, such as precision, recall, F1 score, and accuracy, are fully analyzed, providing insights into each model's strengths and capabilities. These discoveries not only contribute to the advancement of cervical cancer diagnostic techniques but also underscore the potential of machine learning in medical imaging. The study emphasizes the relevance of model selection and provides a framework for future research endeavors seeking to enhance the accuracy and performance of cervical cancer diagnosis through the merger of advanced computational techniques with standard diagnostic practices.   2024 IEEE.</text>
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                <text>Singh J.; Tan K.T.; Sahu D.; Upreti K.; Kshirsagar P.R.; Elangovan M.</text>
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              <elementText elementTextId="167117">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>Singh J., Singapore Institute of Technology, 10 Dover Drive, Singapore; Tan K.T., Singapore Institute of Technology, 10 Dover Drive, Singapore; Sahu D., School of Computer Science Engineering &amp;amp; Technology, Bennett University, Greater Noida, India; Upreti K., Christ (Deemed To Be University), Department of Computer Science, Ghaziabad, India; Kshirsagar P.R., J D College of Engineering &amp;amp; Management, Deptartment of Electronics &amp;amp; Telecom. Engineering, Nagpur, India; Elangovan M., Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Department of Biosciences, Chennai, India</text>
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                <text>Gel-combustion; Hydrothermal reduction; Nanocomposite; Reduced graphene oxide; SnO2 nanoparticles</text>
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                <text>Graphene-metal oxide composites have attracted tremendous research interest in recent days due to their unique and fascinating properties. In the present study, rGO and SnO2 were synthesized separately by modified Hummers' method and nitrate-citrate gel combustion technique respectively. One step hydrothermal method was used to prepare reduced graphene oxide-tin oxide nanocomposite of various concentrations of rGO and SnO2.The obtained samples were characterized by XRD, FTIR, Raman Spectroscopy, UV-Vis spectroscopy, SEM and TEM. The results of different characterization techniques showed the successful formation of SnO2, rGO and SnO2-rGO composites. X-ray analysis pattern indicates formation of the SnO2 nanoparticles in the graphene matrix. The size of the particles prepared is in nanoscale and was found to be 10-20 nm range. TEM images reveal the incorporation of crystalline SnO2 nanoparticles in graphene layers. Upon incorporation of tin oxide to graphene matrix, one could easily tailor the energy gap of the composite matrix.  2020 World Research Association. All rights reserved.</text>
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                <text>Sebastian B.; George Thomas C.; Manoj B.</text>
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                <text>Research Journal of Chemistry and Environment, Vol-24, No. 3, pp. 23-30.</text>
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                <text>Sebastian B., Bharathiar University, Coimbatore, India, Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, India; George Thomas C., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, India; Manoj B., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, India</text>
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                <text>An investigation on structural, electrical and optical properties of GO/ZnO nanocomposite</text>
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                <text>Graphene oxide; Nanocomposite; Physiochemical properties; Tin oxide</text>
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                <text>Coupling of graphene oxide with metal oxide is an effective way to enhance the opto-electric properties of the composite. Herein, a hybrid structure of graphene oxide (GO) -Zinc oxide (ZnO) nanostructure was successfully designed and fabricated with varying concentrations of ZnO. The GO and ZnO nanoparticles were synthesized through Hummer's and simple precipitation method respectively. Structural and physiochemical properties were examined via X-ray powder diffraction, FTIR and UV-Vis spectroscopy. The XRD results of GO showed a peak at 2? of 12.02 with particles of size 6nm and inter layer spacing 0.87 nm. The XRD patterns of ZnO nanoparticles showed a hexagonal unit cell structure and the average dimension of the sample was calculated to be 15 nm. The band gap of the synthesized GO is found to be 5.1 eV and that of ZnO to be 3.07 eV with the help Tauc plot. The dependence of various concentration of ZnO on the electrical behaviour is discussed by an impedance analyzer in the frequency range 100Hz to 1MHz. The ZnO/GO composite with best results have been obtained for 20% and 60 % ratios of ZnO. The composite has high dielectric permittivity and low loss tangent values and is identified as a promising candidate for energy storage applications.  2019 The Authors.</text>
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                <text>Mututu V.; Sunitha A.K.; Thomas R.; Pandey M.; Manoj B.</text>
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                <text>International Journal of Electrochemical Science, Vol-14, No. 4, pp. 3752-3763.</text>
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                <text>Electrochemical Science Group</text>
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                <text>&lt;a href="https://doi.org/10.20964/2019.04.49" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.20964/2019.04.49&lt;/a&gt;
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                <text>All Open Access; Hybrid Gold Open Access</text>
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                <text>ISSN: 14523981</text>
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                <text>Mututu V., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Sunitha A.K., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Thomas R., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Pandey M., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Manoj B., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, Karnataka, India</text>
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              <elementText elementTextId="211388">
                <text>Babu, Chrisma Rose; Anila, E.I.; Avani, A.V.; Jose, Roshan; Xavier, T.S.</text>
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                <text>An investigation on the electrochemical performance of Mn3O4-based aqueous symmetric supercapacitor devices</text>
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                <text>RSC Advances;Volume;16;Issue;11;pp.9806-9816</text>
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                <text>&lt;a href="https://doi.org/10.1039/d5ra08702c" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1039/d5ra08702c&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105030659872?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105030659872?origin=resultslist&lt;/a&gt;</text>
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                <text>Babu C.R., Optoelectronic and Nanomaterials' Research Laboratory, Department of Physics and Electronics, CHRIST University, Karnataka, Bengaluru, 560029, India, Cochin University of Science and Technology, Kerala, Ernakulam, 682022, India; Anila E.I., Optoelectronic and Nanomaterials' Research Laboratory, Department of Physics and Electronics, CHRIST University, Karnataka, Bengaluru, 560029, India; Avani A.V., Optoelectronic and Nanomaterials' Research Laboratory, Department of Physics and Electronics, CHRIST University, Karnataka, Bengaluru, 560029, India; Jose R., Department of Physics, Marian College Kuttikkanam Autonomous, Kerala, Idukki, 685531, India; Xavier T.S., Government College for Women, Kerala, Thiruvananthapuram, 695014, India</text>
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                <text>Manganese (ii, iii) oxide (Mn3O4) is one of the promising materials in the realm of high-performance supercapacitors. The high theoretical specific capacitance, low cost, non-toxicity, environmental compatibility, and natural abundance made it significant in the research field. A low-temperature hydrothermal synthesis method was adopted to prepare Mn3O4 (hausmannite) nanoparticles with a tetragonal spinel structure. The as-prepared nanoparticles were assessed for the structural, elemental, electrical, optical and nitrogen adsorptiondesorption studies through XRD, FTIR, Raman spectroscopy, XPS, DC conductivity, UV-vis absorption and BET analyses. Morphological studies were done using FESEM and TEM and a mixture of nanorods and nanocubes were observed. The electrochemical performances of the as-prepared Mn3O4 nanoparticles were investigated by cyclic voltammetry (CV), galvanostatic charge/discharge (GCD) method and electrochemical impedance spectroscopy (EIS) in a three-electrode system. The present work reports the fabrication of a prototype aqueous symmetric supercapacitor device for the first time. The electrochemical studies were performed in 0.5 M Na2SO4 electrolyte on the separator with a potential window of 0 V to 1 V. A specific capacitance of 68 Fg?1 at a current density of 1 Ag?1 was observed from the constant charge/discharge method. It exhibited a cyclic stability of 72% with a coulombic efficiency of 100% after 1000 cycles. This underscores the noteworthy role of manganese oxide nanoparticles as electrode materials in supercapacitors.  2026 The Author(s). Published by the Royal Society of Chemistry</text>
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                <text>An Investigation on the Mechanical and Durability Properties of Concrete Structures Incorporated with Steel Slag Industrial Waste</text>
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                <text>The construction sector constantly looks for novel approaches to promote sustainability, minimize environmental impact and improve structural properties of construction materials. This work explores the incorporation of steel slag, a by-product from steel manufacturing industry, into concrete blocks. This research investigates the effects of steel slag on the mechanical strength and durability of the prepared concrete blocks, through a series of laboratory tests, including compressive, tension, flexure strength, water absorption and acid attack. This study evaluates the viability and feasibility of incorporating steel slag into concrete block production. In this study, samples of concrete mixture were set with 0% to 20% insteps of 5% steel slag as coarse aggregate. The findings show that concrete blocks consisting 20% of steel slag exhibited better compressive, tensile, flexural strength, reduction in water absorption and improved resistance to chemicals.  The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.</text>
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                <text>Nirmala L.; Tejaswini M.L.; Shilpa M.L.</text>
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                <text>Lecture Notes in Mechanical Engineering, pp. 21-30.</text>
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                <text>Springer Science and Business Media Deutschland GmbH</text>
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                <text>An Investigation to the Hardness of the Cutting Tool During Machining Inconel 718 due to the Cryogenic Effect</text>
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                <text>Rout I.S., School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, 560074, India; Pandian P.P., School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, 560074, India; Raj A., School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, 560074, India; Rego A.M., School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, 560074, India; Panigrahi S.P., School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, 560074, India</text>
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                <text>Super alloys sustain good strength at high temperature and pressure conditions. Such &#13;
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                <text>Super alloys sustain good strength at high temperature and pressure conditions. Such newlinematerials have high demand in Aerospace industry, Marine industry, and Nuclear power plants. They have a great demand in Nuclear and Aerospace applications because of it retain its properties at temperature over 700 C. Machinability of nickel based super - alloys is extremely poor, mainly due to their low thermal conductivity, build up edge and self-hardening, which leads to high dynamic cutting forces. They are difficult to machine because of its high shear strength, work hardening and precipitation hardening. High abrasive particles in its microstructure and tendency forming chip to weld to tool and form Built Up Edge (BUE) make it more difficult to machine. Friction between tool and material and its low thermal conductivity newlineresults in high temperature generation. They have Nickel (Ni), Chromium (Cr), Ferrous (Fe) or Cobalt (Co) as base contains. Small amount of Al, Ti, Nb, Ta, W, Mo added to these alloys to sustain at high temperature. Chromium is important alloying element in order to obtain the hot corrosion resistance property. Due to these factors the tool wear is extremely high and increasing the tool life by minutes is an enormous success. To overcome this situation, various newlinematerials have been developed for Inconel 718 machining. Though Ceramic tools, Silicon newlineCarbide whiskers, reinforced alumina tools, carbide tools have been used to machine Inconel 718 but they have failed to produce good surface, better accuracy and minimum tool wear. The present study is to improvise the surface roughness, reduce tool wear and create better machining parameters for extensive use of the material. Taguchi methodology, Grey Relational Analysis (GRA) and Response Surface Methodology (RSM) have been used to analyze the cutting parameters and determine better response parameters for the machining characteristics of Inconel 718.</text>
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                <text>Queer theory has been a significant part of the field of queer studies. Its presence can be found in women's studies, gay and lesbian studies and feminist theory, and postmodern and poststructuralist theories. Many types of research came around during the 1990s. One of the significant studies was in 1991. Teresa de Lauret coined the term "queer theory" to characterize a school of thought that rejected heterosexuality and binary gender constructions favoring a more open view of identity. Michel Foucault and Judith Butler's study is widely regarded as the founding text of this philosophy. This study adopts the lens of gender and sexuality to challenge people's cultural norms and ideals. There is hesitation among people regarding the acceptance of the third gender that exists in society. The queer theory suggests how the rest sees the queer community of the world. While studying the conditions of the queer community in India, it is imperative to undertake the recently legalized Section 377. The Indian Penal Code says that it is no more a crime to have sexual conduct between adults of the same gender as people have no control over their sexual orientation. The study discusses the practices and protocols of transgender inclusion at the workplace and how to look beyond the labels of the LGBT community. There are various issues when the company wants to employ transgender people at the workplace and accept the community. Qualitative research methods will be used in this research by reading several databases and conducting a systematic review. This chapter will also highlight how trans people confront significant job and career-related problems and barriers in the workplace and the concessions employers should make to ensure that trans people have a safe and discrimination-free workplace. This chapter observes how queer theory can be used as a conceptual framework to advance research in organizational research on trans people's several and many times conflicting needs. Ways could be explored to reach their goals around gender transgression and congruency, work, and career, by laying out some of the crucial concepts associated with the study of trans people in the workplace.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.</text>
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                <text>Rai R., School of Business and Management, Christ University, Bengaluru, Karnataka, India; Lakshmypriya K., School of Business and Management, Christ University, Bengaluru, Karnataka, India; Raghuvanshi R., Department of Commerce, Shyamlal College (eve.), University of Delhi, Delhi, India</text>
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