51 research outputs found

    A Novel Enhanced-Majority-Voter Universal Gate in Quantum Dot Cellular Automata with Energy Dissipation Analysis

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    The Quantum effects instigate to dominate device recital when transistor geometries are abridged. Sometimes, transistors refrain to have the properties that mark them beneficial for computational designs. With the intention of keeping pace with Moore’s Law, diverse assessing elements must be developed. An alternative prototype to transistor-based logic is Quantum dot cellular automata. This technology has an enormous capability to provide ultra-high density and extremely low power dissipation. These features allow us to develop high-speed, small and high performance circuits for computation and integration. Architectures made in quantum dot cellular automata have been d esigned by exploiting either the inverter and the majority gate or universal gates like And -Or-Inverter, NAND-NOR-Inverter, FNZ and AIN. A new universal logic gate called as Enhanced Majority Voter Gate is presented in this paper which enjoys better performance with respect to previously announced universal gates. Design of several logic utilities via the proposed Enhanced Majority Voter Gate is also demonstrated. The functionality and power analysis of this universal gate is verified by the QCA Designer and QCA Pro simulation tool where a comprehensive comparison with the hitherto stated designs confirms the reliable performance of the proposed designs. The proposed Enhanced Majority Voter Gate helps us in framing various cryptographic and security based circuits in Quantum dot ce llular automata

    Effects of Temperature and Cooling Modes on Yield, Purity and Particle Size Distribution of Dihydroxystearic Acid Crystals

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    Abstract An investigation into the effects of temperature and two different cooling modes (i.e. controlled and natural) on the solvent crystallization of dihydroxystearic acid (DHSA) was carried out. The effects of operating temperature and the time on the crystal size distribution (CSD), purity and yield of crystallized DHSA were studied. The crystal purity and average crystal particle size increased with temperature, but the crystal yield decreased as the temperature increased. The controlled cooling crystallization process initially resulted in better crystal properties compared to natural cooling crystallization. However, towards the end of the crystallization process, only marginal differences in terms of crystal properties were observed. Effects of Temperature and Cooling Modes on Yield, Purity and Particle Size Distribution of Dihydroxystearic Acid Crystals 47

    A personalized platform identifies trametinib plus zoledronate for a patient with KRAS-mutant metastatic colorectal cancer

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    Colorectal cancer remains a leading source of cancer mortality worldwide. Initial response is often followed by emergent resistance that is poorly responsive to targeted therapies, reflecting currently undruggable cancer drivers such as KRAS and overall genomic complexity. Here, we report a novel approach to developing a personalized therapy for a patient with treatment-resistant metastatic KRAS-mutant colorectal cancer. An extensive genomic analysis of the tumor's genomic landscape identified nine key drivers. A transgenic model that altered orthologs of these nine genes in the Drosophila hindgut was developed; a robotics-based screen using this platform identified trametinib plus zoledronate as a candidate treatment combination. Treating the patient led to a significant response: Target and nontarget lesions displayed a strong partial response and remained stable for 11 months. By addressing a disease's genomic complexity, this personalized approach may provide an alternative treatment option for recalcitrant disease such as KRAS-mutant colorectal cancer

    Drosophila TIEG Is a Modulator of Different Signalling Pathways Involved in Wing Patterning and Cell Proliferation

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    Acquisition of a final shape and size during organ development requires a regulated program of growth and patterning controlled by a complex genetic network of signalling molecules that must be coordinated to provide positional information to each cell within the corresponding organ or tissue. The mechanism by which all these signals are coordinated to yield a final response is not well understood. Here, I have characterized the Drosophila ortholog of the human TGF-β Inducible Early Gene 1 (dTIEG). TIEG are zinc-finger proteins that belong to the Krüppel-like factor (KLF) family and were initially identified in human osteoblasts and pancreatic tumor cells for the ability to enhance TGF-β response. Using the developing wing of Drosophila as “in vivo” model, the dTIEG function has been studied in the control of cell proliferation and patterning. These results show that dTIEG can modulate Dpp signalling. Furthermore, dTIEG also regulates the activity of JAK/STAT pathway suggesting a conserved role of TIEG proteins as positive regulators of TGF-β signalling and as mediators of the crosstalk between signalling pathways acting in a same cellular context

    Collective cell migration and metastases induced by an epithelial-to-mesenchymal transition in Drosophila intestinal tumors.

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    Metastasis underlies the majority of cancer-related deaths yet remains poorly understood due, in part, to the lack of models in vivo. Here we show that expression of the EMT master inducer Snail in primary adult Drosophila intestinal tumors leads to the dissemination of tumor cells and formation of macrometastases. Snail drives an EMT in tumor cells, which, although retaining some epithelial markers, subsequently break through the basal lamina of the midgut, undergo a collective migration and seed polyclonal metastases. While metastases re-epithelialize over time, we found that early metastases are remarkably mesenchymal, discarding the requirement for a mesenchymal-to-epithelial transition for early stages of metastatic growth. Our results demonstrate the formation of metastases in adult flies, and identify a key role for partial-EMTs in driving it. This model opens the door to investigate the basic mechanisms underlying metastasis, in a powerful in vivo system suited for rapid genetic and drug screens

    Estimation of spatial surface energy fluxes and actual evapotranspiration over Ghataprabha river basin using remote sensing data

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    Accurately measuring Actual Evapotranspiration (AET) in spatial scale is a crucial yet challenging task within the hydrological cycle, playing a pivotal role in determining the water requirements of diverse crops. Consequently, precise estimation of Evapotranspiration (ET) at a spatial scale is imperative for regions characterized by arid and semiarid conditions, such as the Ghataprabha river basin. In current study, actual evapotranspiration was estimated using SEBAL algorithm utilizing Landsat-8 satellite data and meteorological data, focusing on the Ghataprabha river basin situated in Karnataka, India. The paper also presents the spatial divergence of Surface Energy Fluxes and Actual Evapotranspiration in correlation with various land use and land cover patterns within the study region. Notably, the ET fraction derived from the SEBAL algorithm demonstrates a commendable correlation with the ET fraction derived from EEFlux (R2= 0.9). As a result, this study highlights the significance of accurately capturing surface energy fluxes and actual evapotranspiration within heterogeneous field conditions in regional scale

    A New Directed Signature Scheme With Hybrid Problems

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    Abstract In this paper, we proposed a new directed signature scheme based on hybrid problems; factoring and discrete logarithm. This scheme authorizes only an intended verifier to verify a resulting signature. In fact, both signer and verifier also should be able to prove the resulted signature to any third party whenever necessary. Until today, the security of many existing directed signatures is only based on a single hard problem like factoring, discrete logarithm or elliptic curve discrete logarithm. Although these schemes seem secure nowadays but in a near future, if an adversary finds a solution of these hard problems then the schemes will no longer be secured. Thus, we develop a newly designed scheme which provides greater security level than single hard problem-based scheme since it is impossible for the adversary to solve the two hard problems simultaneously
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