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Puneet Khanna Niraj Ramachandran Jie Yang Jing Wang Ashok Kumar Mark Jaroszeski Shekhar Bhansali 《Diamond and Related Materials》2009,18(4):606-610
This research demonstrates that use of Nanocrystalline Diamond (NCD) microspikes in a microfluidic chamber increases the efficiency of mechanical cell lysis, as compared to a standard microfluidic surface such as glass. Microspikes made of nanocrystalline diamond were fabricated using standard MEMS techniques, and were incorporated in microfluidic chamber developed as part of a lab on a chip system. Mechanical cell lysis was performed on B16-F10 (ATCC CRL-6475) murine melanoma cells using ultrasonic vibration and the efficiency of cell lysis was determined. The microspikes puncture the cell membranes on collision greatly increasing the efficiency of cell lysis (about 400% as per fluorescence measurements) as compared to a non-textured glass surface. The effect of using cell disruption glass beads during ultrasonic lyses was also explored. This methodology of cell disruption could potentially make mechanical cell lysis a viable and preferred lysis option for lab-on-a-chip applications. 相似文献
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Debasish Roy;Ananta Vashisth;Prameela Krishnan;Joydeep Mukherjee;Mahesh Chand Meena;Niraj Biswakarma;Pooja Rathore;Koushik Bag;Sweta Kumari; 《Journal of the science of food and agriculture》2024,104(11):6831-6843
The continuous cultivation of rice–wheat in the same field is a key element of double-cropping systems in the Indo-Gangetic plains. Yields of such cropping systems are increasingly challenged as climate change drives increases in temperature, terminal stress and uneven rainfall, delaying rice harvesting and subsequently delaying sowing of wheat. In this paper, we evaluate the optimum sowing dates to achieve high grain yield and quality of wheat cultivars in northwest India. Three cultivars of wheat, HD-2967, HD-3086 and PBW-723, were sown on three different dates at the research farm of ICAR-IARI, New Delhi, to generate different weather conditions at different phenological stages. Different biophysical attributes, photosynthetic rate, stomatal conductance and transpiration rate, were measured at different phenological stages. Yield and grain quality parameters such as protein, starch, amylopectin, amylose and gluten were measured in different cultivars sown on different dates. 相似文献
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Niraj Kumar Ekta Kumari P. Siva Ram Krishna Ajay Kumar Kalyani 《Journal of the American Ceramic Society》2023,106(1):430-437
A new ferroelectric solid solution (1 − x)PbTiO3–xBi(Li1/2Nb1/2)O3 has been explored to develop high-temperature piezoelectric material. An interesting observation has been found regarding its Curie point (TC) and tetragonal lattice strain (c/a − 1). With increasing composition (x), the Curie point (TC) decreases up to x = 0.10 and thereafter remains constant. In concurrence with the TC, the tetragonal lattice strain (c/a − 1) follows a similar trend. Neutron powder diffraction analysis suggests this anomalous behavior is due to the robust off-centering characteristic of the Bi+3 ion 6S2 lone pair effect at the A-site compared to ions at B-site. 相似文献
55.
J. Venkata Krishna G. Apparao Naidu Niraj Upadhayaya 《International Journal of Communication Systems》2018,31(8)
The scalability, reliability, and flexibility in the cloud computing services are the obligations in the growing demand of computation power. To sustain the scalability, a proper virtual machine migration (VMM) approach is needed with apt balance on quality of service and service‐level agreement violation. In this paper, a novel VMM algorithm based on Lion‐Whale optimization is developed by integrating the Lion optimization algorithm and the Whale optimization algorithm. The optimal virtual machine (VM) migration is performed by the Lion‐Whale VMM based on a new fitness function in the regulation of the resource use, migration cost, and energy consumption of VM placement. The experimentation of the proposed VM migration strategy is performed over 4 cloud setups with a different configuration which are simulated using CloudSim toolkit. The performance of the proposed method is validated over existing optimization‐based VMM algorithms, such as particle swarm optimization and genetic algorithm, using the performance measures, such as energy consumption, migration cost, and resource use. Simulation results reveal the fact that the proposed Lion‐Whale VMM effectively outperforms other existing approaches in optimal VM placement for cloud computing environment with reduced migration cost of 0.01, maximal resource use of 0.36, and minimal energy consumption of 0.09. 相似文献
56.
Sarkar Aditya Saravanan K. Nayan Niraj Murty S. V. S. Narayana Narayanan P. Ramesh Venkitakrishnan P. V. Mukhopadhyay J. 《Metallurgical and Materials Transactions A》2017,48(1):321-341
Metallurgical and Materials Transactions A - In the present study, aluminum alloy AA2219-T87 bars were cryorolled to various amounts of deformation in two pre-deformation conditions: (1) without... 相似文献
57.
Nischal Karki Niraj Verma Francesco Trozzi Peng Tao Elfi Kraka Brian Zoltowski 《International journal of molecular sciences》2021,22(4)
Severe Acute Respiratory Syndrome Corona Virus 2 has altered life on a global scale. A concerted effort from research labs around the world resulted in the identification of potential pharmaceutical treatments for CoVID-19 using existing drugs, as well as the discovery of multiple vaccines. During an urgent crisis, rapidly identifying potential new treatments requires global and cross-discipline cooperation, together with an enhanced open-access research model to distribute new ideas and leads. Herein, we introduce an application of a deep neural network based drug screening method, validating it using a docking algorithm on approved drugs for drug repurposing efforts, and extending the screen to a large library of 750,000 compounds for de novo drug discovery effort. The results of large library screens are incorporated into an open-access web interface to allow researchers from diverse fields to target molecules of interest. Our combined approach allows for both the identification of existing drugs that may be able to be repurposed and de novo design of ACE2-regulatory compounds. Through these efforts we demonstrate the utility of a new machine learning algorithm for drug discovery, SSnet, that can function as a tool to triage large molecular libraries to identify classes of molecules with possible efficacy. 相似文献
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