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Co-MoS2 nanoflower coated carbon fabric as a flexible electrode for supercapacitor
Cobalt doped MoS2 (Co-MoS2) nanoflowers have been successfully synthesized via a simple one-step hydrothermal method for supercapacitor applications. To identify the crystalline nature and morphology, the as-prepared material is characterized by XRD, SEM, and TEM measurements. The material exhibits a specific capacitance value of 86 F g-1 at a current density of 1 Ag-1 in symmetric two-electrode configuration with excellent cyclic stability of 98.5% even after 10,000 chargedischarge cycles. The results suggest the suitability of Co-MoS2 as an efficient electrode material for supercapacitors. 2021 Elsevier Ltd. All rights reserved. -
Co-sputtered V2O5TiN composite on Ag-network current collector for high-performance flexible transparent thin-film supercapacitors
Next-generation wearables require extremely capable electrochemical energy-storage devices that exhibit improved performance with high flexibility and transparency. Herein, we present a highly flexible and transparent electrochemical thin-film supercapacitor electrode fabricated by co-sputtering V2O5 and TiN on an Ag-network-based current collector. The electrodes' physical properties, optical properties, and structural morphologies are studied using X-ray diffraction, UVvisible spectroscopy, and scanning electron microscopy, respectively. A symmetric device is fabricated using V2O5 and TiN on an Ag network, and the TiN sputter power is varied to optimize the performance. The device performance of the co-sputtered electrodes at various composition ratios is studied. The optimized V2O5TiN (200?40)/Ag electrode device with pseudocapacitive behavior delivers an excellent areal specific capacitance of 98.66 mF cm2 at a current density of 4 mA cm2 with a charge retention of 90.12 % after 6000 cycles. The V2O5TiN (200?40)/Ag electrode device outperforms other reported electrodes, with an energy density and power density of 30.83 ?Wh cm2 and 2999.67 ?W cm2, respectively, and excellent mechanical stability. 2023 -
Coach berth with foot assembly to climb onto the berths /
Patent Number: 337454-001, Applicant: Gyan Ganga Institute of Technology and Sciences. -
Coal-Based Fluorescent Zero-Dimensional Carbon Nanomaterials: A Short Review
Carbon nanomaterials (CNs) have fascinated material scientist owing to their outstanding properties, making them potential materials for numerous critical applications. Over the years, scientists have reported several techniques for the production of CNs from distinctive precursors using various top-down and bottom-up approaches. Coal is being proven as an inexpensive, abundant, and effective carbon source for harvesting CNs with unique characteristics, properties, and high production yield. CNs derived from coal exhibit excellent fluorescence property, which can be tuned by varying the degree of oxidation, particle size, surface functionalization, etc. The fluorescent coal-derived CNs are effective materials for label-free bioimaging and selective sensing applications. In this review, we encompass the synthesis of different kinds of CNs from coal, their fluorescence properties, proposed fluorescence mechanisms, factors affecting fluorescence property, and fluorescence sensing and bioimaging applications. 2020 American Chemical Society. All rights reserved. -
Cobb douglas production function analysis of total factor productivity in Indian textile industry in the post multi-fiber agreement (MFA) period
Internnational tradee in textiles aand clothing wwas governedd by the systemm of bilateral quotas undeer the MMulti Fibre AgreementA (MMFA) since 11973 and thiss agreement has been repeplaced by thhe Agreeement on Texxtiles and Cllothing (ATC)C) from Januaary 1, 2005. The dismanntling of quotta restricctions had brrought about a significant change in thee structure off worldwide trrade in textilees as theere are no quuota barriers for the exporrt of textiles aand apparelss and the hithherto protecteed textilee industry wouldw be exposed to interrnational commpetition. It was widely believed annd highliighted in mosst of the studies that develloping economies, especiaally India andd China woulld be thee major gaineers in the neww policy regiime. In view of the changged trading ennvironment foor textilee trade, it wass considered important to analyze the immpact of quotta removal onn Indian textille industry, especiallyy with respecct to the prodductivity on thhis sector. Thee study has coonsidered fouur sub seectors of Indiian textile inddustry as givven in the Annnual Survey oof Industries, viz, Spinningg, Weavving and Finiishing of Texxtiles, Manuffacture of Other Textiles,, Manufacturre of Wearinng Apparrels and Manufacture off Crocheted aand Knitted Fabrics. Esstimates of CCobb Douglaas produuction function shows that the removal of textile quoota had impaccted all the foour sub sectorrs considdered in the study.s The imppact of quota removal on pproductivity iis positive andd significant iin the caase of spinninng, weaving aand finishingg of textiles ass well as in tthe manufactuure of wearinng apparrels. In the casec of mannufacture of other textiless and the mmanufacture oof knitted annd crochheted fabrics, the quota duummy coefficient is negatiive and signifificant at onee percent leveel. This sshows that thhe removal ofof quota restrrictions have adversely immpacted the ooutput of thesse sectorrs. 2020, North Carolina State University. All rights reserved. -
COBOTS: Vital role in significant domains
The term COBOT refers to "collaborative robot, " which is created by combining humans and robots to increase the efficacy and efficiency of industrial processes. Cobots have extensive applications in various sectors, including healthcare, motoring, production, electronics, space exploration, logistics, and astronomy. Industry 5.0 is a development that aims to combine human specialists' creativity with accurate, intelligent, and efficient technologies to revolutionize manufacturing processes worldwide. Therefore, in the age of Industry 5.0, there is a great demand for Cobots with high, quick advancement, and low costs. Industry evolution, fundamentals of Cobots, how they differ from robots, key features, basic components, the significant role of Cobots in Industry 5.0, challenges and limitations, future scope, and ethical aspects of Cobots are covered in this chapter. This book chapter is a comprehensive manual for academic researchers and corporate executives to learn about Cobots completely. 2024, IGI Global. All rights reserved. -
Coca-Cola product placement strategy backfires a case of celebrity activism
Research methodology: A secondary research method was used to collect data for this case. The authors have made use of newspaper articles and published articles written by journalists and experts which are available in the public domain. Case overview/synopsis: Instances of celebrity activism such as athlete activism are rising. Social media has amplified the voice of celebrities and given them a personal channel to directly communicate with their fans without any media censorship. The same is true especially concerning endorsement by sports superstars, who now seem to have a mind of their own, independent of the official line of clubs, tournament organizers or sponsoring companies. This case discusses the embarrassment and financial loss faced by soft drinks giant Coca-Cola due to the public snub by football superstar Cristiano Ronaldo during an official press conference of the EURO 2020 championship. Complexity academic level: Undergraduate and postgraduate students studying marketing management and brand management courses in business management and commerce streams can use this case. This case can also be used for marketing specialization students at the undergraduate and postgraduate levels. 2023, Emerald Publishing Limited. -
Cocos nucifera L.-derived porous carbon nanospheres/ZnO composites for energy harvesting and antibacterial applications
Carbon nanomaterials (CNMs) have been the subject of extensive research for their potential applications in various fields, including photovoltaics and medicine. In recent years, researchers have focused their attention on CNMs as their high electrical conductivity, low cost, and large surface area are promising in replacing traditional platinum-based counter electrodes in dye-sensitized solar cells (DSSC). In addition to their electrical properties, CNMs have also displayed antibacterial activity, making them an attractive option for medical applications. The combination of CNMs with metal oxides to form composite materials represents a promising approach with significant potential in various fields, including energy and biology. Here, we introduce porous carbon nanospheres (PCNS) derived from Cocos nucifera L. and its ZnO composite (PCNS/ZnO) as an alternative material, which opens up new research insights for platinum-free counter electrodes. Bifacial DSSCs produced using PCNS-based counter electrodes achieved power conversion efficiencies (PCE) of 3.98% and 2.02% for front and rear illumination, respectively. However, with PCNS/ZnO composite-based counter electrodes, the efficiency of the device increased significantly, producing approximately 5.18% and 4.26% for front and rear illumination, respectively. Moreover, these CNMs have shown potential as antibacterial agents. Compared to PCNS, PCNS/ZnO composites exhibited slightly superior antibacterial activity against tested bacterial strains, including gram-positive Bacillus cereus (B. cereus) and Staphylococcus aureus (S. aureus), and gram-negative Vibrio harveyi (V. harveyi) and Escherichia coli (E. coli) with MIC values of 125, 250, 125, and 62.5g/ml, respectively. It is plausible that the outcomes observed were influenced by the synergistic effects of the composite material. Graphical abstract: (Figure presented.) The Author(s), under exclusive licence to Korean Carbon Society 2024. -
CoFe2O4 nanoparticles embedded 2D Cr2CTx MXene: A new material for battery like hybrid supercapacitors and oxygen evolution reaction
The progress of effective electrode materials for high-performance supercapacitors is one of the most cutting-edge fields of study in the search for alternative and renewable energy uses. 2D MXenes, with their distinctive physiochemical features, have successfully improved the electrode materials by imparting superior energy storage, thus distinguishing themselves among electrode materials. A new class of cobalt ferrite nanoparticles embedded Cr2CTx MXene sheets have been fabricated and tested for supercapacitor applications. Notably, the cobalt ferrite acts as interlayer spacers between Cr2CTx MXene layers. The Cobalt ferrite/Cr2CTx MXene composite offers enhanced supercapacitive features compared to pristine cobalt ferrite or Cr2CTx MXene sheets. The cobalt ferrite/Cr2CTx MXene nanocomposite shows a maximal specific capacity of 763.83C g?1 (1909.6 F g?1) at 1 A g?1. The fabricated device using the prepared material exhibited a capacitance retention of 99 % up to 2500 cycles. Also, this attractive nanocomposite displays a charge transfer resistance of only 0.25 ?, which is highly beneficial to charge-discharge at higher current rates. 2024 Elsevier Ltd -
CoFe2O4-APTES nanocomposite for the selective determination of tacrolimus in dosage forms: Perspectives from computational studies
An innovative and cost effective electrochemical sensor was fabricated to determine tacrolimus (TAC) in pharmaceutical samples. In the present study, cobalt ferrite nanoparticles (CFO) were synthesized hydrothermally using chitosan as the template and were further functionalized using (3-Aminopropyl) triethoxysilane (APTES). The synthesized CFO were characterized using various analytical techniques such as X-ray diffraction, Fourier transform infrared spectroscopy, scanning electron microscopy, vibrating sample magnetometry and high- resolution transmission electron microscopy. The CFO and CFO-APTES were further drop-casted on to the glassy carbon electrode (CFO-NH2/GCE) for the electrochemical determination of TAC. Under the optimum conditions, the CFO-NH2/GCE showed a very low detection limit of 0.03 nM with a high sensitivity of 21,448 ?A?M?1cm?2 and a wide linear TAC concentration range of 0.14 nM 75.83 nM. The proposed sensor showed good sensitivity, selectivity, reproducibility and stability for the sensing of TAC and this has been demonstrated by analysing TAC in different dosage forms. This is the first study to report the interaction of CFO-TAC and CFO-NH2-TAC at the electrode/electrolyte interface. To support the experimental findings qualitatively, extensive density functional theory simulations were carried out to study the interaction at the interface. Hence the proposed sensor is very selective and sensitive towards the detection of TAC. 2022 Elsevier B.V. -
CoFe2O4-APTES nanocomposite for the selective determination of tacrolimus in dosage forms: Perspectives from computational studies /
Surfaces and Interfaces, Vol.35, ISSN No: 2468-0230.
An innovative and cost effective electrochemical sensor was fabricated to determine tacrolimus (TAC) in pharmaceutical samples. In the present study, cobalt ferrite nanoparticles (CFO) were synthesized hydrothermally using chitosan as the template and were further functionalized using (3-Aminopropyl) triethoxysilane (APTES). The synthesized CFO were characterized using various analytical techniques such as X-ray diffraction, Fourier transform infrared spectroscopy, scanning electron microscopy, vibrating sample magnetometry and high- resolution transmission electron microscopy. The CFO and CFO-APTES were further drop-casted on to the glassy carbon electrode (CFO-NH2/GCE) for the electrochemical determination of TAC. -
CoFe2O4/g-C3N4 intercalated Ti3C2 MXene for efficient electrocatalytic hydrogen evolution reaction
Seeking high-efficiency and stable electrocatalysts remains key to boosting electrocatalytic water splitting. Herein, a well-designed nontoxic MXene based composite, Ti3C2-CoFe2O4/g-C3N4 is prepared via ultrasonication for enhancing the hydrogen evolution reaction (HER). Intercalation of CoFe2O4 and g-C3N4 within the multi-layered Ti3C2 MXene results in improved properties such as high surface area, large pore volume, and a low restacking tendency that leads to enhanced electrochemical active sites, high charge carrier separation, and stability. The prepared composite is characterized via various physicochemical techniques. The amalgamated composite shows a lower overpotential of 223 mV in an alkaline medium at a current density of 10 mA cm?2. The Tafel slope and charge transfer resistance (Rct) value for the HER are 48.5 mV dec?1 and 3.94 ?, respectively. The heterojunction formation improves the efficacy of the MXene composite and provides a new perception that can be beneficial for water splitting applications. 2023 The Royal Society of Chemistry. -
Cognitive behavioral neuroscience in organizational settings
In a world characterized by constant changes, organizations grapple with the complex task of understanding and enhancing human behavior within their ranks. The burgeoning interest in cognitive behavioral neuroscience (CBN) for unraveling the intricacies of organizational dynamics has paved the way for a groundbreaking shift. However, the application of CBN in Human Resource Development and Management (HRDM) remains in its infancy, creating a void between scientific inquiry and practical implementation. As organizations yearn for evidence-based strategies to enhance talent identification, team selection, training, and overall performance, a critical need emerges for a comprehensive guide that bridges this gap. Cognitive Behavioral Neuroscience in Organizational Settings is a groundbreaking book that illuminates the unexplored territory of CBN in HRDM. Positioned as a catalyst for change, this comprehensive guide serves as the linchpin connecting theoretical foundations with real-world applications. Seamlessly navigating through the basics of neuroscience, the anatomy and functions of the brain, and the role of neuroscience in organizational behavior, establishes the groundwork for a new academic discipline. By delving into higher cognitive processes, artificial intelligence integration, neuroscience methods, and CBN-based interventions, the book offers a roadmap to revolutionize how organizations understand, manage, and enhance their human capital. This book is not just a scholarly exploration; it is a call to action. For academic scholars seeking to contribute to the evolution of CBN in HRDM, this is a unique opportunity to be at the forefront of a transformative movement. Pioneering the integration of innovative neuroscience techniques, artificial intelligence, and practical interventions, this guide empowers scholars to actively shape the future of organizational development. 2024 by IGI Global. All rights reserved. -
Cognitive Engagement Scale (CES) in an Online Environment: Construction and Validation
Researchers have demonstrated linkages between active engagement of students with learning material and greater learning gains. Cognitive engagement is a significant component of educational experience. Understanding the challenges associated with cognitive engagement and measuring cognitive engagement in a MOOC environment is challenging. It is the need of the hour with online learning being equivalent to classroom learning in todays dynamic academic environment. The present study aims to construct cognitive engagement scale (CES) to measure the cognitive engagement of learners who sign up for the massive open online courses (MOOC). The aim of this study is dual-fold: firstly, to conceptualize the cognitive dimension of learner engagement within MOOCs, and secondly, to construct a theoretically informed scale for assessing cognitive engagement in online environments. Study presents a detailed process of the scale development, which included item generation, item evaluation, pilot testing, testing psychometric properties of the scale, and scale refinement. The researchers crafted the initial questionnaire drawing from both existing literature and personal insights. Subject matter experts then validated the items within the questionnaire and ensured its reliability through a pilot study, where it was administered to a sample of 100 participants The final version of the scale captures the four dimensions of cognitive engagement: Passive receiving, active manipulating, constructive generating, and interactive dialoguing. The present study contributes to the growing literature on cognitive engagement and adds to the existing literature of MOOC engagement scale with focus on cognitive engagement exclusively. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Cognitive Fuzzy-based Behavioral Learning System for Augmenting the Automated Multi-issue Negotiation in the E-commerce Applications
Evolution of agent-based technology presents behavioral learning and sustainable negotiation challenges in e-commerce applications. In particular, the challenge of designing the negotiation strategy to incorporate sustainability in e-commerce business that can leverage the agent to reach its objectives by increasing the negotiation coordination and cooperation with the opponent agents. Therefore, the proposed research introduces the negotiation strategy sustainable solution using a cognitive fuzzy-based behavioral learning system which can change the preferences of negotiating agents according to human psychological characteristics. It will mimic the attitudes of human risk, patience and regret during the course of bilateral negotiation and also change the preference structures according to the fuzzy logic rules. As a result, the proposed negotiation strategy makes significant improvements on various parameters such as utility value, success rate, total negotiation time, and communication overhead while changing the negotiation rounds from 50 to 500. Since this system leverages the negotiation strategy of the agent by taking appropriate decisions to reach better agreement based on the interest, belief and psychological characteristics of negotiating opponents. Moreover, the usage of negotiation in the cloud-based platform can leverage the e-commerce applications to handle as many requests as possible due to its dynamic elasticity. 2022 Taiwan Academic Network Management Committee. All rights reserved. -
Cognitive marketing and purchase decision with reference to pop up and banner advertisements
The aim of this research paper is to employ a mixed research approach and to check how the past data differs from the present and hence it uses an argument mapping to find the reality using focus group. Since genders have different opinion on pop-up and banner advertisements, two focus groups, one group consisting the female gender and the other focus group consisting the male respondents have been taken for the data collection. Small sample has been used for the argument mapping (N=45/Male) and (N=47/Female). A series of steps has been conducted in the argument mapping and relevant maps have been developed for drawing inference. It is found that, male have no patience to deal with the pop-up and banner advertisements but women are keener and patient enough to make the best use of these advertisements. On the other hand a questionnaire was framed from the variables found from the literature review and the same was distributed to both the genders and it was found collectively that though pop-up advertisements and banner advertisements are useful in some way, it is always considered to be a negative aspect. Misleading advertisements, data security scam are a few negative aspects of such advertisements and hence, there are a lot of ugly truth behind pop up and banner advertisements. The mixed research approach (triangulation) between the quantitative and qualitative is a new initiative taken by the researchers in this research and holds originality of the study. 2018 Academic Research Publishing Group. -
Cognitive outcomes prediction in children using machine learning and big data analytics
This study explores the potential of machine learning (ML) and big data analytics in predicting cognitive outcomes in children, aiming to enhance early identification and intervention strategies. Leveraging a diverse dataset comprising neurocognitive assessments, genetic markers, socio-economic factors, and environmental variables, our research employs advanced ML algorithms to develop predictive models. The interdisciplinary approach integrates neuroscience, psychology, and data science to discern patterns and correlations within the expansive dataset. The study emphasizes the importance of early cognitive assessment for optimal child development and academic success. By harnessing the power of big data, our models seek to uncover nuanced relationships that traditional methodologies may overlook. Preliminary results indicate promising accuracy in predicting cognitive outcomes, offering a valuable tool for educators, healthcare professionals, and policymakers. Additionally, the model's interpretability allows for a deeper understanding of the factors influencing cognitive development. Ethical considerations, privacy safeguards, and data governance are integral components of this research, ensuring responsible use of sensitive information. The implications of this study extend beyond academia, with the potential to inform educational policies, personalized learning strategies, and targeted interventions for at-risk populations. As technological advancements continue, the integration of ML and big data analytics in predicting cognitive outcomes heralds a new era in pediatric research, promoting proactive approaches to support children's cognitive well-being. 2024 IEEE. -
Cognitive Style and Academic Achievement among School Students
The aim of the present study was to explore cognitive style and academic achievement among school students using a quantitative approach. The study involved a total of 423 students from grade VIth and VIIth. Students from both private and government schools participated in the study. The study used group embedded figures test by Witkin et al. (1971) and classroom achievement test by Singh & Gupta (2007) to determine the participants field independent and dependent cognitive styles and academic achievement. T test was used to compare the academic achievement of field independent ?? field dependent cognitive style students. Whereas, two-way Anova test was done to analysis the interaction effect of grades, gender, and type of school along with cognitive style on academic achievement of students. The findings of the present research showed that there was a significant difference between field independent and dependent students' on academic achievement. It also revealed that students with field independent cognitive style performed significantly better than field dependent students. However grades had a significant main effect on academic achievement of students. There was no interaction effect found between grades and cognitive style on academic achievement of students. In addition, it was also found that there was no interaction effect of type of school and cognitive style on academic achievement of students. The findings of the study benefits teachers by indicating significant classroom implications which will help them to develop effective learning materials and strategies which are suitable for their student in order to utilize their cognitive style strength effectively. It helps students in making effective decisions regarding ones enrolment in higher education courses and career choices. Key Words: Field Independent-Dependent Cognitive Style, Academic Achievement, Grades, Gender and Type of School. -
Cognitive synergy: Enhancing late career engagement with ergonomic solutions
The chapter explores the intricate relationship between cognitive ergonomics and late career employees, emphasizing the challenges and opportunities of an aging workforce. It combines research findings and case studies to understand how cognitive aging affects job performance and satisfaction. A central theme is the importance of technology training and support for older workers. As technology advances, organizations must ensure their older employees have the skills to navigate these changes. This includes training in new software and tools, and ongoing support. Flexible work arrangements are also crucial, reducing stress and fatigue from long commutes and rigid schedules. Health screenings and age-friendly workplaces are key. Regular health screenings and access to healthcare can address physical and cognitive challenges. Designing workspaces and processes for older workers fosters inclusivity and diversity. In conclusion, the chapter offers recommendations for organizations to leverage the late career workforce. 2024 by IGI Global. All rights reserved. -
Cognitive technology for the Indian higher education: A Language teaching and Learning application
Past decade witnessed a technological boom in the world. Regardless of the age every person in the world owns a mobile device which can be connected to internet. The technologies and applications for these mobile devices are one of the inevitable part people's day to day lives. The past decade also evidenced the development of Artificial Intelligence, Machine Learning (ML), Natural Language Processing (NLP), Image Processing (IP), Speech Recognition (SR) and Big DataAnalytics (BDA), etc. which lead to the development of Intelligent applications for the fields like business, health care, weather, media, etc. The field which uses the technology in a slow pace is education system. This paper is majorly focused on the Indian higher education system and the technologies used in their teaching and learning. One of the major drawbacks of Indian higher education system is the traditional teacher centric teaching and learning process. The usage of technology in their education system limited to chock and board to power point presentation. Some of the elite Universities in India uses Massive Online Open Courses (MOOC) but majority of the education institution still follows the old method of teaching and learning. This paper profiles cognitive technology based applications which can be used for the betterment of current system. The proposed model in this paper is for the language course learning. The application is centered on ML and NLP. Copyright 2019 American Scientific Publishers All rights reserved.