Defining Statistical Timing Sensitivity for Logic Circuits With Large-Scale Process and Environmental Variations

Plants have the ability to respond to seasonal environmental variations by monitoring day length to initiate flowering. The transition from vegetative to the reproductive stage is the critical developmental switch in flowering plants to ensure optimal fitness and/or yield. It has been previously reported that B-BOX32 (BBX32) has the potential to increase grain yield when ectopically expressed in soybean. In the present study, we performed a detailed molecular characterization of the Arabidopsis B-box domain gene BBX32. We showed that the circadian clock in Arabidopsis regulates BBX32 and expressed in the early morning. To understand the molecular mechanism of BBX32 regulation, we performed a large-scale yeast two-hybrid screen and identified CONSTANS-LIKE 3 (COL3)/BBX4 as one of its interacting protein partners. Using different genetic and biochemical assays, we have validated this interaction and shown that COL3 targets FT in the presence of BBX32 to regulate the flowering pathway. Based on these findings, we hypothesized that this BBX32-COL3 module could be an additional regulatory mechanism affecting the reproductive development in Arabidopsis that could be translated to crops for increased agricultural productivity.

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Leakage Power Reduction in CMOS VLSI Circuits using Advance Leakage Reduction Method

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2021.35065 ◽

2021 ◽

Vol 9 (VI) ◽

pp. 962-966

Author(s):

Ayush Tiwari

Keyword(s):

Large Scale ◽

Propagation Delay ◽

Logic Circuits ◽

Leakage Power ◽

Vlsi Circuits ◽

Time Duration ◽

Leakage Reduction ◽

Large Scale Integration ◽

Cmos Vlsi ◽

Scale Integration

Recently, consumption of power is key problem of logic circuits based on Very Large Scale Integration. More potentiality consumption isn’t considered an appropriate for storage cell life for the use in cell operations and changes parameters such as optimality, efficiency etc, more consumption of power also provides for minimization of cell storage cycle. In present scenario static consumption of power is major troubles in logic circuits based on CMOS. Layout of drainage less circuit is typically complex. Several derived methods for minimization of consumption of potentiality for logic circuits based on CMOS. For this research paper, a technique called Advance Leakage reduction (AL reduction) is proposed to reduce the leakage power in CMOS logic circuits. To draw our structure circuit related to CMOS like Inverter, inverted AND, and NOR etc. we have seen the power and delay for circuits. This paper incorporates, analyzing of several minimization techniques as compared with proposed work to illustrate minimization in ratio of energy and time usage and time duration for propagation. LECTOR, Source biasing, Stack ONOFIC method is observed and analyzed with the proposed method to evaluate the leakage power consumption and propagation delay for logic circuits based on CMOS. Entire work has done in LT Spice Software with 180nm library of CMOS.

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Pattern Recognition of 2 × 2 Matrices Based on DNA Strand Displacement

Nanoscience and Nanotechnology Letters ◽

10.1166/nnl.2019.3028 ◽

2019 ◽

Vol 11 (10) ◽

pp. 1357-1365

Author(s):

Yanfeng Wang ◽

Aolong LV ◽

Chun Huang ◽

Junwei Sun

Keyword(s):

Pattern Recognition ◽

Large Scale ◽

Logic Circuits ◽

Strand Displacement ◽

Dna Strand Displacement ◽

Complex Circuits ◽

Dna Strand ◽

Simple Logic

Biochemical circuits have been transformed from simple logic circuits to large-scale complex circuits, benefitting from the maturity of DNA strand displacement technology. Pattern recognition is a process of analyzing perceptual signals and identifying and interpreting objects. In this study, pattern recognition of 2 × 2 matrices based on DNA strand displacement was designed, including dual-rail circuits and seesaw circuits. The effective results were obtained by simulation in Visual DSD software, simultaneously, the pattern recognition and DNA strand displacement technology were perfectly combined.

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Large scale MoS 2 nanosheet logic circuits integrated by photolithography on glass

2D Materials ◽

10.1088/2053-1583/3/4/044001 ◽

2016 ◽

Vol 3 (4) ◽

pp. 044001 ◽

Cited By ~ 17

Author(s):

Hyeokjae Kwon ◽

Pyo Jin Jeon ◽

Jin Sung Kim ◽

Tae-Young Kim ◽

Hoyeol Yun ◽

...

Keyword(s):

Large Scale ◽

Logic Circuits

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Difficulty of Power Supply Voltage Scaling in Large Scale Subthreshold Logic Circuits

IEICE Transactions on Electronics ◽

10.1587/transele.e93.c.332 ◽

2010 ◽

Vol E93-C (3) ◽

pp. 332-339 ◽

Cited By ~ 8

Author(s):

Tadashi YASUFUKU ◽

Taro NIIYAMA ◽

Zhe PIAO ◽

Koichi ISHIDA ◽

Masami MURAKATA ◽

...

Keyword(s):

Power Supply ◽

Large Scale ◽

Supply Voltage ◽

Logic Circuits ◽

Voltage Scaling ◽

Power Supply Voltage ◽

Supply Voltage Scaling ◽

Subthreshold Logic

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Stochastically Estimating Modular Criticality in Large-Scale Logic Circuits Using Sparsity Regularization and Compressive Sensing

Journal of Low Power Electronics and Applications ◽

10.3390/jlpea5010003 ◽

2015 ◽

Vol 5 (1) ◽

pp. 3-37

Author(s):

Mohammed Alawad ◽

Ronald DeMara ◽

Mingjie Lin

Keyword(s):

Compressive Sensing ◽

Large Scale ◽

Logic Circuits ◽

Sparsity Regularization

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Oxygenation variability in Mejillones Bay, off northern Chile, during the last two centuries

Biogeosciences ◽

10.5194/bg-8-137-2011 ◽

2011 ◽

Vol 8 (1) ◽

pp. 137-146 ◽

Cited By ~ 16

Author(s):

J. A. Díaz-Ochoa ◽

S. Pantoja ◽

G. J. De Lange ◽

C. B. Lange ◽

G. E. Sánchez ◽

...

Keyword(s):

Large Scale ◽

Bottom Water ◽

Gradual Increase ◽

Water Productivity ◽

Marine Ecosystem ◽

Biological Productivity ◽

Short Term ◽

Coastal Marine Ecosystem ◽

Coastal Marine ◽

Environmental Variations

Abstract. The Peru Chile Current ecosystem is characterized by high biological productivity and important fisheries. Although this system is likely to be severely affected by climate change, its response to current global warming is still uncertain. In this paper, we analyze 10–166 year-old sediments in two cores collected from Mejillones Bay, an anoxic sedimentary setting favorable for the preservation of proxies. Based on a 166-year chronology, we used proxies of bottom-water oxygenation (Mo, V, S, and the (lycopane + n−C35)/n−C31 ratio) and surface water productivity (biogenic opal, counts of diatom valves, biogenic Ba, organic carbon, and chlorins) to reconstruct environmental variations in Mejillones Bay. During the last two centuries, a shift took place in the coastal marine ecosystem of Bahia Mejillones at decadal scales. This shift was characterized by intense ENSO-like activity, large-scale fluctuations in biological export productivity and bottom water oxygenation, and increased eolian activity (inferred from Ti/Al and Zr/Al). This short-term variability was accompanied by a gradual increase of sulfidic conditions that has intensified since the early 1960s.

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