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Characterization of nano-crystalline carbon from camphor and diesel by x-ray diffraction technique
Hydrocarbons are by far the most widespread precursors among carbon sources employed in the production of carbon nanotubes and carbon nanosphers. In the present study, diesel and camphor have been used as precursors for nanomaterials. Carbonaceous soot produced from combustion of diesel in engine shows the presence of significant amount of carbon nanomaterials. The ? band at about 19.28 has been attributed to the presence of amorphous carbon and surface defects in carbon nanotubes. The ? band at about 25.81 corresponds to e2g mode of graphite which is related to vibration of sp2bonded carbon atoms and the presence of ordered carbon nanotubes in diesel soot. The SEM micrographs provide a clear indication that nanoparticle formed in diesel soot are clusters of carbon nanospheres. Energy dispersive spectrum analysis of diesel soot confirms that the soot particles to be composed of primarily carbon and oxygen along with hydrogen. The camphor soot shows ? and ? bands which reveals the presence of crystalline graphitic carbon. The SEM micrographs of camphor show the presence of carbon nanostructures. It is found nanomaterials formed in the diesel soot consists more of disordered carbon, whereas in camphor it is more of ordered graphite like carbon. -
Characterization of nanocarbon based electrode material derived from anthracite coal
Nanocarbon derivatives (NCD's) have wide range of scope in the field of sensors, supercapacitors and charge storage application. In the present study, anthracite is used as a precursor to synthesis nano-carbon derivatives. One of the important aspects of this study is to intercalate the synthesized NCD's with Li-ion to enhance its electrochemical and optical properties. The prepared NCD with Li-ion interface is used as an electrode material to study charge-discharge capacity and cyclic stability. The NCD shows a specific capacitance 65.4 mF g-1 and retention of capacitance after 200 cycles. However, adding small amount of supportive electrode material with NCD's enhances the capacitance after 160 cycles. The drastic increase in electronic conductivity of NCD's by adding supportive Li-ion permits the electrochemical activity of electrode material to be effectively utilized for practical applications. 2020 IOP Publishing Ltd. -
Characterization of product cordial dragon graphs
The vertices of a graph are to be labelled with 0 or 1 such that each edge gets the label as the product of its end vertices. If the number of vertices labelled with 0's and 1's differ by at most one and if the number of edges labelled with 0's and 1's differ by at most by one, then the labelling is called product cordial labelling. Complete characterizations of product cordial dragon graphs is given. We also characterize dragon graphs whose line graphs are product cordial. 2024 Azarbaijan Shahid Madani University. -
Characterization of signed paths and cycles admitting minus dominating function
Let G = (V, E, ?) be a finite signed graph. A function f: V ? {?1, 0, 1} is a minus dominating function (MDF) of G if f(u) + Pv?N(u) ?(uv)f(v) ? 1 for all u ? V. In this paper we characterize signed paths and cycles admitting an MDF. 2020 Azarbaijan Shahid Madani University -
Characterization of the Forgotten Topological Index and the HyperZagreb Index for the Unicyclic Graphs
Let G be a molecular graph with V (G) and E(G) be the vertex set and edge set, respectively. Various investigations show that many degree and distance based topological indices are used to exhibit strong intrinsic connection between the molec- ular structures and the physico-chemical properties of the chemical compounds. In this paper, we focus on two degree-based topological indices, namely, the forgotten topological index and the hyper-Zagreb Index expressed as F(G) = P u2V (G) d(u)3 and HM(G) = P uv2E(G)(d(u) + d(v))2, respectively, where d(u) and d(v) are the degrees of the vertices u and v, respectively, in the graph G. We show that the unicyclic graphs can take any even positive integer except 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 26, 28, 30, 34, 36, 38, 42, 46, 50, 50, 54, 58, 62, 66, 70, 74, 78, 86 and 94 for the forgotten index. A comparable result for the hyper-Zagreb index is also presented. 2020 University of Kragujevac, Faculty of Science. All rights reserved. -
Characterization of thermal damage of skin tissue subjected to moving heat source in the purview of dual phase lag theory with memory-dependent derivative
This investigation is devoted to exhibit the thermal damage of skin tissue exposed to a moving heat source. Modelling of the problem is performed by adopting dual phase lag theory of bio heat transfer in context of memory dependent derivative. Laplace transform technique has been adopted to represent the analytical solutions of temperature and thermal damage of skin tissue. Thermal damages to the tissues are calculated by the extent of the denatured protein employing with the Arrhenius equation. In order to predict the significance of memory dependent derivative approach, computational results of temperature and thermal damage are evaluated in the frame of different kernel functions as well as time-delay. For the purpose of exhibiting the attractiveness of the present model, obtained results are compared with the results corresponding to the absence of memory dependent derivative. Also, the impact of the velocity of moving heat source has been precisely investigated on temperature variation and thermal damage of skin tissue using quantitative results. Authors believe that this study will be helpful to study the thermal treatment of several diseases such as hyperthermia. 2021 Informa UK Limited, trading as Taylor & Francis Group. -
Characterizations of some parity signed graphs
We describe parity labellings of signed graphs: equivalently, cuts of the underlying graph that have nearly equal sides. We characterize the bal-anced signed graphs which are parity signed graphs. We give structural characterizations of all parity signed stars, bistars, cycles, paths and com-plete bipartite graphs. The rna number of a graph is the smallest cut size that has nearly equal sides; we find this for a few classes of graphs. The author(s). -
Chatbot Service Quality in Banking : Analyzing Indian Banking Customer Perceptions and Influence on Customer Satisfaction and Value
Purpose: The study has two objectives: first, to determine the quality of chatbot services provided by Indian banks; second, to assess the influence of chatbot service quality variables on customer satisfaction and customer value. Research Methodology: The study used a quantitative methodology, selecting individuals at random from a group of Indian banking clients. We used a questionnaire to collect data from the selected sample as part of a causal research investigation. We made use of SPSS and Python for this analysis. Customer satisfaction and value were taken into account as the dependent variables in our study. The seven elements of service qualityfunctionality, convenience, security, design, customization, enjoyment, and assurancemade up the independent variables. Findings: According to this study, client satisfaction and value were significantly shaped by the quality of the services provided. Customers value was significantly impacted by functionality and enjoyment, and their satisfaction was greatly influenced by assurance, design, and personalization. The unexpected negative impact assurance had on customer value is noteworthy and calls for more research. Practical Implications: In the highly competitive banking industry, this research has important ramifications for banks. It highlighted how important service quality is, which led banks to give priority to customer pleasure and think about making strategic changes. Banks could obtain a competitive advantage by improving the quality of their services, improving chatbot services, and implementing a customer-centric strategy by utilizing the research findings that have been presented. Our research helped banks evolve with the needs of their customers in mind, enabling them to gain credibility, repeat business, and long-term success in the ever-changing banking services market. Originality/Value: This study examined how consumers in Indian banks perceive the value and satisfaction of chatbot services and how they use them. The study provided useful recommendations and concepts to improve the general consumer experience. 2024, Associated Management Consultants Pvt. Ltd.. All rights reserved. -
Chemical castration: Justice for victims or justice for the rapist /
American Journal of Criminal Law, Vol.3, pp.1-5, ISSN No: 2581-5504. -
Chemical Demineralization of High Volatile Indian Bituminous Coal by Carboxylic Acid and Characterization of the Products by SEM/EDS
Journal of Environmental Research and Development, Vol-6 (3A), pp. 653-659. ISSN-0973-6921 -
Chemical leaching of an indian bituminous coal and characterization of the products by spectroscopic techniques
Fourier transform infrared (FTIR) spectra of high volatile bituminous coal as well as their insoluble organic matter, obtained by chemical leaching with HF, EDTA and acid mixture (HF + HCl and HF + HNO3) were recorded between 500 and 4000 cm-1. UV-Visible-NIR spectroscopy was used to study the sample and its leached products in the 200-800 nm wavelength region. Oxygen containing structures were observed in the 1800-1000 cm-1 zone, aliphatic hydrogen in the 2920-2800 cm-1 zone, aromatic outof- plane structure in the 900-670 cm-1 zone. A great abundance of C=C structure was noticed at 1600 cm-1 region, while clay and silicate minerals were identified in the 540 cm-1 and 1030 cm-1 region. With chemical leaching silicate bands showed a decrease in intensity and were least for EDTA and HF leached samples. The UV-Visible -NIR spectrum showed absorption maximum at 235-270 nm and was shown a red shift with leaching. The II-II* electronic transitions of the poly-nuclear aromatic hydrocarbons was responsible for the absorption at 680 nm. The weak bands observed in the visible region (400-500 nm) were due to the presence of SO2 in the sample and decreased with chemical leaching. It was evident from the results that amongst the leachants used, hydrofluoric acid and acid mixture had significant effect in removing the mineral matter and oxygenated functional groups. -
Chemical leaching of an Indian bituminous coal and characterization of the products by vibrational spectroscopic techniques
High volatile bituminous coal was demineralized by a chemical method. The vibrations of the "aromatics" structure of graphite, crystalline or non-crystalline, were observed in the spectra at the 1600 cm -1 region. The band at 1477 cm -1 is assigned as VR band, the band at 1392 cm -1 as VL band and the band at 1540 cm -1 as GR band. Graphite structure remains after chemical leaching liberates oxygenated functional groups and mineral groups. The silicate bands between 1010 and 1100 cm -1 are active in the infrared (IR) spectrum but inactive in the Raman spectrum. Absorption arising from C-H stretching in alkenes occurs in the region of 3000 to 2840 cm -1. Raman bands because of symmetric stretch of water molecules were also observed in the spectrum at 3250 cm -1 and 3450 cm -1. Scanning electron microscopy analysis revealed the presence of a graphite layer on the surface. Leaching of the sample with hydrofluoric acid decreases the mineral phase and increases the carbon content. The ash content is reduced by 84.5wt% with leaching from its initial value by mainly removing aluminum and silicate containing minerals. University of Science and Technology Beijing and Springer-Verlag Berlin Heidelberg 2012. -
Chemical Reaction Effects on Nano Carreau Liquid Flow Past a Cone and a Wedge with Cattaneo-Christov Heat Flux Model
Chemical reaction aspect is utilized for heat mass transfer analysis of nano non-Newtonian liquid flow past a cone and a wedge. Flow is steady, laminar and two dimensional created due to a cone and a wedge. The Carreau liquid and Cattaneo-Christov heat flux models are utilized. The magneto-nano Carreau liquid material occupies the porous space. The relevant PDEs are rendered into coupled non-linear ODEs via appropriate transformations before treated them numerically through Runge-Kutta and Newton's method. The computed results are plotted for employing the various values of physical constraints on the profiles of velocity, temperature and nanoparticle volume fraction. Moreover, vitiation of the friction factor, Nusselt number and Sherwood number against physical parameters are presented numerically. It is figured out that convective heating and Brownian motion effects are constructive for thermal boundary layer growth. Aspect of chemical reaction is significant to control the solute layer growth and mass transfer rate. 2017 Walter de Gruyter GmbH, Berlin/Boston. -
Chernobyl Disaster Optimizer-Based Optimal Integration of Hybrid Photovoltaic Systems and Network Reconfiguration for Reliable and Quality Power Supply to Nuclear Research Reactors
In view of the complexity and importance of nuclear research reactor (NRR) installations, it is imperative to uphold high standards of reliability and quality in the electricity being supplied to them. In this paper, the performance of low-voltage (LV) distribution feeders integrated with NRRs is improved in terms of reduced distribution loss, improved voltage profile, and reduced greenhouse gas (GHG) emissions by determining the optimal location and size of photovoltaic (PV) systems. In the second stage, the power quality of the feeder is optimized by reducing the total harmonic distortion (THD) by optimally allocating D-STATCOM units. In the third and fourth stages, the reliability and resilience aspects of the feeder are optimized using optimal network reconfiguration (ONR) and by integrating an energy storage system (ESS). To solve the non-linear complex optimization problems at all these stages, an efficient meta-heuristic Chernobyl disaster optimizer (CDO) is proposed. Simulations are performed on a modified IEEE 33-bus feeder considering the non-linear characteristics of NRRs, variability of the feeder loading profile, and PV variability. The study reveals that the proposed methodology can significantly improve the service requirements of NRRs for attaining sustainable research activities. 2024 by the authors. -
Chest Diseases Prediction from X-ray Images using CNN Models: A Study
Chest Disease creates serious health issues for human beings all over the world. Identifying these diseases in earlier stages helps people to treat them early and save their life. Conventional Neural Networks play an important role in the health sector especially in predicting diseases in the earlier stages. X-rays are one of the major parameters which help to identify Chest diseases accurately. In this paper, we study the prediction of chest diseases such as Pneumonia, COVID-19, and Tuberculosis (TB) from the X-ray images. The prediction of these diseases is analyzed with the support of three CNN Models such as VGG19, Resnet50V2, and Densenet201, and results are elaborated in the terms of Accuracy and Loss. Though all three models are highly accurate and consistent, considering the factors like architectural size, training speed, etc. Resnet50V2 is the best model for all three diseases. It trained with F1 score accuracies of 0.98,0.92,0.97 for pneumonia, tuberculosis, covid respectively. 2021 -
Child mental health: The role of different attributional styles
Background: High prevalence of mental health issues in the twenty-first century accounts for a lion share in the worldwide burden of disease. There is an alarming decrease in the onset of half of the mental health problems. Hence, it is necessary to explore the current situation and figure out the causes and preventive measures as well as the appropriate mental health enhancement measures. Individual characteristics, such as thinking patterns and perception, have an impact on the mental health. Attributional style is one source of cognitive vulnerability which influences mental health disorders. Therefore, the present study examines whether there are any variations in the mental health of children with different attributional styles. Methods: The current research adopted a cross-sectional research design and selected 150 school going students [74 males and 76 females] between 10-13 years of age as participants. The Child Attributional Style Questionnaire [CASQ], Satisfaction with Life Scale-Children [SWLS-C], Brief Resilience Scale, and Revised Child Anxiety and Depression Scale [RCADS] are used to gather information. Results: The results indicated that children with a pessimistic attributional style experienced more depression and generalized anxiety than children with other two attributional styles. In terms of gender differences in mental health, female students with pessimistic attributional style significantly differed from their counterparts on depression [?2 [2] = 10.131, p = 0.006] and separation anxiety [?2 [2] = 6.456, p = 0.040]. Conclusion: Attributional style seems to have a significant role in depression and anxiety in female children. Although male children did not show any statistically significant results, they were more likely to be pessimistic in terms of their attributional style, which makes them vulnerable to mental health issues. 2020, Indian Association for Child and Adolescent Mental Health. All rights reserved. -
Child sexual abuse prevention involving mothers: A Quasi-experimental study with Protection Motivation Theory-based intervention
Child sexual abuse (CSA) is a worldwide problem. The safety of children is everybody's responsibility. Parental and family involvement is crucial in the CSA prevention process. Parental lack of knowledge may increase the risk of abuse among children. Educating parents is crucial as children are mostly dependent on them. The role of mothers in educating children on CSA is of relevance as they are identified as more sensitive and responsible caregivers. The present study aimed to promote knowledge and attitude towards CSA prevention among mothers through a psychoeducation program. A pre- and posttest design (n = 67) was used with an intervention based on Protection Motivation Theory (PMT). A CSA knowledge and attitude scale was developed for the assessment of the participants for the study. There were significant changes in knowledge and attitude among the participants after the intervention. The prevention of CSA will be effective with knowledge gains after the PMT-based intervention. The intervention programs that involve mothers in CSA education have benefits. The findings of this study can be helpful to incorporate public health approaches to devise evidence-based parental programs in community settings. 2022 Wiley Periodicals LLC. -
Chinese maritime relations with Malabar Coast, 12001500 AD: A quest for naval dominance
China has had a long history of maritime expedition. Its Indian Ocean connectivity, long before European explorers arrived at the Malabar Coast, had made significant impact on the maritime trade in the Indian Ocean region. Chinas expedition to the Southern Asia was aimed to expand the benevolence of Chinese emperor and to establish its suzerainty in maritime trade rather than to establish the permanent position on land. The political dynamics at home caused the rise and fall of the maritime might of China. The famous explorer, Zheng Hes expeditions represented Chinas ambition to expand its control over the Indian Ocean regions. The Malabar Coast with its geographical advantages had developed maritime activities enhancing its commercial fortunes. China had to accept the strength of Malabar kingdoms in terms of political power, trade and commercial advantages. Importantly, Malabar kingdoms did not accept the Chinese assertions of supremacy but engaged with the Chinese on equal terms. An attempt is made here to trace Chinas maritime strategy to expand their power beyond the immediate periphery and establish its supremacy in the Indian Ocean. 2019, 2019 National Maritime Foundation. -
Chitosan stabilized platinum nanoparticles: Synthesis, characterization and cytotoxic impacts on human breast cancer cells
Platinum nanoparticles are widely studied as a nanomedicine against many of the solid tumours. Due to their promising physicochemical properties, chitosan-stabilized platinum nanoparticles may exhibit exceptional cytotoxic effects on cancer cells. This article describes the synthesis and characterization of chitosan-stabilized platinum nanoparticles (Ch-Pt NPs) through a wet chemical method and in vitro studies of their anticancer effect on human breast cancer cells (MCF-7 cell line). Different analytical methods confirmed the formation of chitosan-stabilized platinum nanoparticles. The structural and surface morphological analyses were done using XRD, FTIR, TEM, FESEM, etc. Elemental analysis was done using XPS and EDX. The hydrodynamic diameter and zeta potential were determined using DLS and zeta analyzer. These platinum nanoparticles have a spherical shape and FCC structure with an average particle size of 3.4 nm and an average hydrodynamic diameter of 248 nm. The characteristic FTIR peaks of chitosan in the sample confirmed the capping of chitosan on the surface of the Pt NPs. The surface charge estimation using a zeta potential analyzer showed ?23.8 mV, elucidating the stability and dispersity of the as-synthesized Pt NPs. The in vitro cytotoxicity study using MTT assay revealed a non-toxic behaviour on normal L929 cell lines and a severe anti-proliferative activity on a human breast cancer (MCF-7) cell line with an IC50 value of 35.60 ?g/ml after 24 h of incubation. This result indicates a better anticancer therapeutic application against human breast cancer cells for the as-synthesized chitosan-stabilized platinum nanoparticles. 2024 Elsevier B.V. -
Chlorin e6 decorated doxorubicin encapsulated chitosan nanoparticles for photo-controlled cancer drug delivery
In the study we have reported the physico-chemical, photophysical and morphological properties of chlorin e6 (Ce6) decorated doxorubicin (DOX) encapsulated chitosan (CS)-tripolyphosphate (TPP) nanoparticles which prepared by ionotropic gelation method. The Ce6 physically loaded onto the nanoparticles by self-assembly of CS with TPP-DOX under aqueous conditions. The results from DLS studies highlights the prepared nanoparticles that possess the size in the range of 80120 nm. with negatively charged of ?6 mV. The SEM and AFM images showed 80120 nm size while the average size of the Ce6 decorated nanoparticles was found to be around 100130 nm. The absorption spectra of Ce6 decorated nanoparticles are similar when compared to free Ce6 which suggest there is no change in the Ce6 chromophore upon decoration. This nanoparticle showed high photostability and singlet oxygen generation (SOG). The Ce6 decorated and DOX encapsulated nanoparticles sizes and charges are in the range of 90130 nm and ?30 mV respectively. The nanoparticles showed high encapsulation efficiency towards DOX as well as pH controlled release. This has significant anti-proliferative activity against MCF-7 breast cancer cells after irradiation at near infra-red (NIR) ranges were evaluated. This could have potential applications in photo-controlled smart DOX delivery system for cancer treatment. 2019 Elsevier B.V.