272 research outputs found
An original assessment of the influence of soft dimensions on implementation of sustainability practices: Implications for the thermal energy sector in fast-growing economies
No full textThis study explores the different soft dimensions that affect the incorporation of sustainability practices in thermal power supply chains. Using a blend of literature exploration and the views of experts from academia and thermal power plants, 14 soft dimensions of sustainability were identified in the Indian scenario. Interpretive Structural Modelling (ISM) was primarily applied to determine the structural interactions among these factors, with Decision-Making Trial and Evaluation Laboratory (DEMATEL) employed later to establish the strength of these interactions. As per the analysis, ‘Scale of commitment for SSCM implementation’ and ‘Inclusion of SSCM practices in organisation’s vision and mission’ are the most influential factors in implementing sustainability practices in Indian thermal power supply chains. Revelations of this research are expected to inform industrial managers and experts about the importance and impact of considering soft dimensions as part of their decision-making related to sustainable supply chain management to achieve improved and sustainable operations
Fractional Calculus and its Applications in Physics
No full textThis eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contac
Fractional Calculus and its Applications in Physics
No full textThis eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contac
Tumor-infiltrating lymphocytes in Wilms tumor
No full textPurpose: T-lymphocytes-infiltrating tumors (TILs) are white blood cells (CD3+) found within the tumor and are thought to indicate a T-cell-mediated specific immune response. The purpose was to evaluate the presence and the subtypes of TILs in Wilms tumor (WT) specimens. Materials and Methods: A prospective study was conducted, and consecutive cases of WT registered and treated at our center were included in the study. The resected tumor was processed by taking multiple sections from the tumor and the peritumoral area. The sections were then processed for evaluating TILs and their subtypes (CD4 + and CD8+). TILs were assessed as a percentage of the total mononuclear cell infiltration in both these areas in all specimens. Results: Twenty-four consecutive specimens of WT were studied. The mean TILs (CD3+) counts was significantly higher (P = 0.001) in the peritumoral area (22.64 ± 1.42; range 20.2%–25%) as compared to the tumor (21.08 ± 2.42; range 14.6%–23.1%). The mean T-Helper (CD4+) counts was also significantly higher (P < 0.001) in the peritumoral area (13.04 ± 1.79; range 10.5%–16.5%) than in the tumor (7.30 ± 1.81; range 4.2%–10.1%). The mean cytolytic T-lymphocytes (CTLs-CD8+) counts in peritumoral area were 6.64 ± 1.09 (range 4.2%–9.2%), while in the tumor, it was 11.96 ± 3.09 (range 3.6%–16.4%). Two patients died on follow-up due to recurrence. These patients showed a markedly lower CD8+ cell count and higher CD4+/CD8+ ratio in the tumor. Conclusion: T-cells infiltration takes place in WT, and most of the patients demonstrate a higher concentration of CTL (CD8+) in the tumor as compared to the peritumoral area
Development of IoT-based Wireless Sensor System for Slope Stability Monitoring in Open-cast mines
No full textSlope stability in open-cast mines is one of the dominant topics of geological interest. The slopes of open-cast mines need to be monitored consistently so that one has prior knowledge of any slope failure. An early-warning system is necessary for the open-cast mines so that loss of human lives and property is prevented. Both Internet of things (IoT) and wireless sensor system (WSS) have emerged as an aid for real-time monitoring systems. Using WSS, one can monitor the concrete environmental structures by sensing their changes whereas IoT communicates this sensed data from the real-time applications to the application for additional analysis. In real-time monitoring scenarios, power consumption and long-range coverage are of high concern. That is the reason, technologies like WSS, Long Range (LoRa), and IoT have to be collaboratively used to build a slope monitoring system. To monitor slope failure first, slope deformation has to be tracked so that a prediction can be made based on the pattern and generate an alarm that failure is to happen. A coaxial cable along with Time-domain reflectometry (TDR) is used to measure slope deformation based on the reflection principle. This TDR sensor with coaxial cable is set up in slope areas that are more susceptible to failure. Test through open-cast model experiment and shear testing experiment was performed with two types of coaxial cables calibrated with TDR – RG-6 and RG-213 out of which RG-6 was found to be most suitable. Both coaxial cable and TDR are present at the sensing end of the WSS. LoRa acts as a framework for IoT. Since mines are situated in extreme environmental conditions, it is not practical for the mine personnel to be physically present at the mine site to monitor the slopes. The existing slope monitoring systems do not provide the flexibility to monitor slopes independently. Slope monitoring is an exhaustive and risky task for the miners and mine officials if it has to be done physically since any time loss of life may happen due to slope failure. By incorporating LoRa, a wide area is covered and with WSS and IoT slope can be continuously monitored. LoRa operates on various SF out of which SF7 is chosen for this work. This is because, with the increase of SF value, the coverage distance also increases but the signal fades away. The field test results of LoRa with SF7 in open space or non-line of sight (NLoS) areas offered coverage of 2.3 km whereas in the mine site coverage of 1.7 km was obtained without any packet loss. This proved helpful for this research work in open-cast mines because the distance from the mine slope to the mine office is around 1 km. The data which comes from the real-time slope monitoring system has to be processed somewhere so that an early warning can be generated hinting at the occurrence of slope failure. For this purpose, fog computing comes into the picture. Instead of depending on the cloud for every computation, the sensed or monitored data is computed in fog and the outcome is provided to the user. Since the mine environment is uncertain, slope failure can happen within a fraction of a second. For such a scenario, latency-free processing, and delay-free data transmission is required which is offered by fog computing. Besides, it also brings the cloud functionalities nearer to the sensing layer which gives the user the flexibility and eases to use cloud services without any delay. With these motivations and aims, developed and implemented a novel real-time slope monitoring system in this research work is known as Fog-IoT Slope Monitoring (FIoTSM) system to monitor slopes and generate warnings of its failure
Kannada Character Recognition in Images Using Histogram of Oriented Gradients and Machine Learning
No full textMonitoring of Organochlorine Pesticides Residues in Pumpkin (Cucurbita maxima), Brinjal (Solanum melongena), Cucumber (Cucumis sativus), Ridge Gourd (Luffa aegyptiaca) and Apple Gourd (Praecitrullus fistulosus) Vegetables by using QuEChERS Method
No full textSome Approximation Results on Durrmeyer Modification of Generalized Szász–Mirakjan Operators
No full textThis paper deals with the approximation properties of the summation-integral type operators defined by Mishra et al. (Boll Unione Mat Ital 8:297–305, 2016). It consists of the local results and convergence theorem of the defined operators. Here, we discuss the asymptotic behaviour of the operators and the quantitative means of Voronovskaja type theorem is obtained. In this direction, we determine the Grüss Voronovskaya type theorem. Graphical representation is given to support the approximation results of the operators and, at last, conclusions are given.</p
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