554 research outputs found

    A Crowd Sourcing to Track Individuals in Highly Active Industries

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    This paper represents an idea to track employee in highly active industries using mobile application. The majority of geographic positioning systems had been designed to operate within environments that have a long term stable macro structure with potential small scale dynamics. These assumptions enable the present positioning systems to supply and utilize maps. In extremely active industrial settings these assumptions are not valid and so the task of tracking employees is very difficult because of large scale changes in structure. In this project, an unique positioning system for following individuals in highly active industries such as construction sites, marketing and so on. However our system uses cross modality coaching in order to track the environmental changes by utilizing occlusion maps and how these maps can be used in conjunction with social forces to predict human movement and increase the tracking accuracy. R. Mahalakshmi | S. Janani | R. Sivasankari "A Crowd Sourcing to Track Individuals in Highly Active Industries" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd22777.pd

    Cell migration to CXCL12 requires simultaneous IKKα and IKKβ-dependent NF-κB signaling

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    AbstractCXCL12 and its unique receptor CXCR4, is critical for the homing of a variety of cell lineages during both development and tissue repair. CXCL12 is particularly important for the recruitment of hemato/lymphopoietic cells to their target organs. In conjunction with the damage-associated alarmin molecule HMGB1, CXCL12 mediates immune effector and stem/progenitor cell migration towards damaged tissues for subsequent repair. Previously, we showed that cell migration to HMGB1 simultaneously requires both IKKβ and IKKα-dependent NF-κB activation. IKKβ-mediated activation maintains sufficient expression of HMGB1's receptor RAGE, while IKKα-dependent NF-κB activation ensures continuous production of CXCL12, which complexes with HMGB1 to engage CXCR4. Here using fibroblasts and primary mature macrophages, we show that IKKβ and IKKα are simultaneously essential for cell migration in response to CXCL12 alone. Non-canonical NF-κB pathway subunits RelB and p52 are also both essential for cell migration towards CXCL12, suggesting that IKKα is required to drive non-canonical NF-κB signaling. Flow cytometric analyses of CXCR4 expression show that IKKβ, but not IKKα, is required to maintain a critical threshold level of this CXCL12 receptor. Time-lapse video microscopy experiments in primary MEFs reveal that IKKα is required both for polarization of cells towards a CXCL12 gradient and to establish a basal level of velocity towards CXCL12. In addition, CXCL12 modestly up-regulates IKKα-dependent p52 nuclear translocation and IKKα-dependent expression of the CXCL12 gene. On the basis of our collective results we posit that IKKα is needed to maintain the basal expression of a critical protein co-factor required for cell migration to CXCL12

    Characterization of Polyhydroxyalkanoates Produced by Bacillus spp. from Starch Containing Medium

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    This Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page

    A systems approach for monitoring anesthesia

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    General anesthesia (GA) is an important medical procedure that induces unconsciousness to patients during surgery. Consciousness is a salient feature of the brain, whose neurophysiological features are difficult to be distinguished from unconsciousness. Though it can be defined as an event arising due to interactions in the nervous system, it entirely is not a reliable mechanism. Thus, tracking changes in the brain waves caused by GA is a challenging problem in neuroscience. The exact mechanism to quantify the state of the brain and to distinguish between conscious and unconscious brain is still difficult. Specific features to characterize the state of the brain from the patterns of the brain signal is challenging. Present-day depth of anesthesia monitors index values does not quantify the state of the brain.An alternative approach is to use dynamical systems theory to assess the underlying dynamics of the brain with imaging technology (e.g., electroencephalographic and electrocorticographic data). Previous results from the literature suggest that stability can play a role in the characterization of unconsciousness. This thesis proposes a detailed study that focus on dynamical systems properties that go beyond stability. In particular, the proposed methodology aims to assess which regions of the brain intervene in the process of consciousness and unconsciousness, as well as quantify how often they interact with each other. Specifically, the approach seeks to leverage the eigenstructure of the underlying approximation of the neural activity captured from intracranial electrocorticographic data.Our results show that it is possible to differentiate between anesthetic stages of the brain using eigendecomposition. This was possible through a framework that provides a regularised way to sparsify the state estimates of electrocorticographic (ECoG) signal to get a model for analysis of changes in the brain waves affected by GA. Later to look at the eigenvalues and eigenvectors, which gives the frequency of oscillation and direction between different regions of the brain, respectively. It was also observed that the pattern in the evolution of eigenvalues during different anesthetic stages could be able to interpret if the subject was under anesthesia or not.Mechanical Engineering | Systems and Contro

    Photoperiod and vernalization response of wheat under controlled environment and field conditions

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    Characterization of large numbers of breeding lines for vernalization and photoperiod response in wheat is needed to enhance adaptation. A total of 20 wheat lines were evaluated for response to vernalization and photoperiod under two controlled environments and high ambient air temperatures under field conditions. Vernalized and non-vernalized seedlings were transplanted into pots and placed in three photoperiod (8, 12 and 16 h of light) cabinets, in the greenhouse or in growth chambers. Days to anthesis decreased with increasing photoperiod. Vernalized plants flowered earlier than non-vernalized. There was a significant correlation between days to anthesis in the greenhouse and the growth chamber (r = 0.88, P < 0.001). Basal vegetative period, effect of vernalization and photoperiod from the two screening techniques were positively correlated with each other. Growth habit, vernalization requirement and heading date in the field were highly correlated with the main effect of vernalization in the two controlled environments. The results indicate that selection for vernalization response in a large number of genotypes can be achieved under high ambient air temperatures in the field and the selected material can subsequently be screened for photoperiod response under greenhouse conditions

    Enhanced dye-sensitized solar cell performance using strontium titanate perovskite integrated photoanodes modified with plasmonic silver nanoparticles

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    Funding Information: The authors are thankful to the UGC-UPE Program, Madurai Kamaraj University for providing the HR-TEM facilities and DST-PURSE Program for providing SEM and solar simulator with I-V measuring system facilities. One of the authors SR is grateful to Dr. S. Mahalakshmi and Dr. M. Marikannan for their help during the experimental work. This work was partially supported by the Thompson Endowment. Funding Information: The authors are thankful to the UGC-UPE Program, Madurai Kamaraj University for providing the HR-TEM facilities and DST-PURSE Program for providing SEM and solar simulator with I-V measuring system facilities. One of the authors SR is grateful to Dr. S. Mahalakshmi and Dr. M. Marikannan for their help during the experimental work. This work was partially supported by the Thompson Endowment . Publisher Copyright: © 2021 Elsevier B.V.Plasmonic silver nanoparticles loaded strontium titanate nanocomposites (Ag-SrTiO3NC) with diverse weight percentages (0.5, 1.5, 2.5 and 5 wt%) of Ag nanoparticles (Ag NPs) are synthesized by a facile chemical reduction method. The prepared nanocomposites are characterized using diffuse reflectance spectroscopy, X-ray diffractometry, photoluminescence spectroscopy, scanning electronic microscopy and transmission electron microscopy. The photovoltaic performance of dye-sensitized solar cells (DSSCs) integrated with Ag-SrTiO3 NC photoanodes has been assessed under simulated sun light intensity of 100 mW cm(-2). The Ag-SrTiO3 NC photoanode loaded with 2.5 wt% Ag NPs exhibited higher power conversion efficiency of 4.39% with short-circuit photocurrent density of 11.54 mA cm(-2), open circuit voltage of 0.77 V and fill factor of 0.49 in DSSC. This enhanced photovoltaic performance can be credited to high dye loading, improvement in visible light harvesting - and fast photo-induced electron transfer caused by the plasmonic Ag NPs. (C) 2021 Elsevier B.V. All rights reserved.Peer reviewe
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