156 research outputs found

    Energy Monitoring System to Display on Web Page Using ESP8266

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    The Concepts of the Internet of Things associated with different applications running from home motorisation to habitual IoT, Where partner physical things, from wherever through a system. This will give incite access to information about the physical world and the articles in it provoking imaginative organisations and augmentation in capability and productivity. The framework proposes to build up an IoT based Interactive Industrial Home remote framework, Energy administration framework and inserted information obtaining frame to show on site page utilising GPRS, SMS and E-mail caution. Give them a chance to take a dynamic part of the Internet, trading data about themselves and their environment.  It is wanted to style a re-configurable sensible gadget interface for mechanical WSN in IoT climate, amid which ARM  received as the centre controller. Along these lines, it will filter data in parallel and continuously with rapid on many unique gadget data. Astute gadget interface particular is received for this style. The gadget consolidated with the latest ARM programmable innovation and savvy gadget determination. By recognising the estimations of sensors it can effortlessly discover the Temperature, Smoke, and Fire introduce in the mechanical condition on the Website, and we can deal with any circumstance from anyplace on the planet through IOT. This gadget is primary for sensor information accumulation and controlling of the new Home Wireless Sensor Networks (WSN) in the Internet of Things (IoT) condition. Preventive measures are effectively actualised to avoid problems

    The Biochromatics of Plants: Extraction, Characterization, and Application of Pigments from Various Plants

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    Pigments are chemical compounds that absorb light in the wavelength range of the visible region. Synthetic pigments in effluents pose a serious environmental threat due to their non-biodegradable nature, prompting a shift towards exploring eco-friendly alternatives. The focus has shifted towards the diverse array of natural pigments for applications in food, pharmaceuticals, and textiles, prioritizing human health preservation. The stability of pigments is influenced by various factors such as pH, light exposure, temperature, and complexation with other substances. This study aimed to develop a stable, eco-friendly biocolour using extracts from Rubus fruticosus L., Bixa orellana L., Adhatoda vasica L., and Beta vulgaris L. Phytochemical analysis revealed the presence of key constituents like phenols, flavonoids, alkaloids, and tannins. Purification through flash column chromatography and thin-layer chromatography determined pigment separation, with UV spectrophotometry used for quantification based on Lambert beer law. HPTLC fingerprinting identified carotenoids, anthocyanins, betalains, and chlorophylls. FTIR analysis determined functional groups, while LCMS provided information on molecular aspects. Encapsulation, co-pigmentation, and entrapment methods were employed to enhance stability. Antioxidant and antibacterial activities were assessed, and heavy metal content determined using atomic absorption spectroscopy. Extracted pigments found applications in food, textiles, tablet coating, cosmetics, and candles. The methanol extract of Bixa orellana L. demonstrated superior stability across various applications. This study advocates for the promising use of natural pigments, promoting consumer health and facilitating the production of eco-friendly biocolours devoid of synthetic additives

    Identification of AFLP markers linked to Fusarium wilt disease in pigeonpea [Cajanus cajan (L.) Millsp.]

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    An experiment was conducted to identify markers linked to Fusarium wilt disease resistance, Parents namely TTB 7 and ICP 8863 were screened using 151 SSRs markers and 16 AFLP primer combinations. Parental screening revealed five SSR primers and 12 AFLP primer combinations polymorphic between parents. Bulk segregant analysis identified five AFLP primer combinations generating seven markers polymorphic between resistant and susceptible bulks while, none of the SSR markers were polymorphic. This indicates that, these markers are putatively linked to wilt disease. Screening of F2 segregating population of cross TTB 7 x ICP 8863 with these putatively linked markers revealed four markers (E-AAT/M-CTG850, ETCG/M-CTT650, E-TCG/M-CTA730 and E-TCG/M-CTT230) which segregated in 3:1 mendelian pattern. Simple linear regression performed on these four markers had identified two markers namely E-TCG/M-CTT650 and E-TCG/M-CTA730 linked to disease

    GPR56/ADGRG1 Inhibits Mesenchymal Differentiation and Radioresistance in Glioblastoma

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    A mesenchymal transition occurs both during the natural evolution of glioblastoma (GBM) and in response to therapy. Here, we report that the adhesion G-protein-coupled receptor, GPR56/ADGRG1, inhibits GBM mesenchymal differentiation and radioresistance. GPR56 is enriched in proneural and classical GBMs and is lost during their transition toward a mesenchymal subtype. GPR56 loss of function promotes mesenchymal differentiation and radioresistance of glioma initiating cells both in vitro and in vivo. Accordingly, a low GPR56-associated signature is prognostic of a poor outcome in GBM patients even within non-G-CIMP GBMs. Mechanistically, we reveal GPR56 as an inhibitor of the nuclear factor kappa B (NF-κB) signaling pathway, thereby providing the rationale by which this receptor prevents mesenchymal differentiation and radioresistance. A pan-cancer analysis suggests that GPR56 might be an inhibitor of the mesenchymal transition across multiple tumor types beyond GBM

    GPR56/ADGRG1 inhibits mesenchymal differentiation and radioresistance in glioblastoma

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    A mesenchymal transition occurs both during the natural evolution of glioblastoma (GBM) and in response to therapy. Here, we report that the adhesion G-protein-coupled receptor, GPR56/ADGRG1, inhibits GBM mesenchymal differentiation and radioresistance. GPR56 is enriched in proneural and classical GBMs and is lost during their transition toward a mesenchymal subtype. GPR56 loss of function promotes mesenchymal differentiation and radioresistance of glioma initiating cells both in vitro and in vivo. Accordingly, a low GPR56-associated signature is prognostic of a poor outcome in GBM patients even within non-G-CIMP GBMs. Mechanistically, we reveal GPR56 as an inhibitor of the nuclear factor kappa B (NF-κB) signaling pathway, thereby providing the rationale by which this receptor prevents mesenchymal differentiation and radioresistance. A pan-cancer analysis suggests that GPR56 might be an inhibitor of the mesenchymal transition across multiple tumor types beyond GBM

    Nickel Nanoparticles Decorated Porous Carbons for Highly Active Catalytic Reduction of Organic Dyes and Sensitive Detection of Hg(II) Ions

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    [[sponsorship]]原子與分子科學研究所[[note]]已出版;[SCI];有審查制度;具代表性[[note]]http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Drexel&SrcApp=hagerty_opac&KeyRecord=1944-8244&DestApp=JCR&RQ=IF_CAT_BOXPLO

    Targeting MIR155HG in glioma: a novel approach

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    RETRACTED: Power Quality Issues Compensation using ANN Techniques

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    Abstract This idea is to propose an active filter which adopts to power quality issues and to solve this through Artificial intelligence techniques. This proposed active filter is combined to shunt active filter (SAF) which is controlled by neuro fuzzy interference system (ANFIS). This proposed adaptive filter performance is enhanced by ANFIS tool. This ANFIS is a class of adaptive system these functions are equivalent to fuzzy based systems. The purpose of ANFIS is to control the discharging time of dc-link capacitor in SAF there by reduces the power quality issues. The dc-link voltage values are get affected by the load fluctuation and these fluctuations can be suppressed by measuring and regulating the reference voltage. The purpose of ANFIS base adaptive shunt active filter is to achieve enhanced power quality there by reducing dc link voltage and current fluctuations very quickly. The proposed technique implemented and results are obtained using MATLAB its performance is evaluated through reference value.</jats:p

    Adaptive vector quantization based video compression scheme

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    Adaptive vector quantization technique for retinal image compression

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