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pinaata » pinnata (Expand Search), minamata (Expand Search), spinaata (Expand Search)
ainaata » minamata (Expand Search), ainaaata (Expand Search), binaata (Expand Search), annaata (Expand Search)
aina » ainaa (Expand Search), bina (Expand Search), anna (Expand Search)
ping » ling (Expand Search), ming (Expand Search), peng (Expand Search), sping (Expand Search)
pin » spin (Expand Search)
pinn » spinn (Expand Search), pina (Expand Search), pink (Expand Search), pins (Expand Search)
min » main (Expand Search)
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1541
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1542
The Body and the Brain: Measuring Skin Conductance Responses to Understand the Emotional Experience
Published 2016Get full text
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Journal Article -
1543
Fluctuations of Linear Eigenvalues Statistics for Wigner Matrices: Edge Case
Published 2017Get full text
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Journal Article -
1544
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1545
Bubble translation at low-frequency actuation in a resonator-shaped microfluidic chamber
Published 2018Get full text
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Journal Article -
1546
On-Demand Bioadhesive Dendrimers with Reduced Cytotoxicity
Published 2018Get full text
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Journal Article -
1547
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1548
GRAViTy-V2: a grounded viral taxonomy application
Published 2024“…Analysis times ranged from 1-506 min (median 3.59) on datasets with 17-1004 genomes and mean genome length of 3000–1 000 000 bases.…”
Journal article -
1549
Graft Copolymerization of Methyl Methacrylate onto Rubber-Wood Fiber using H2 O2 and Fe2+ as an Initiator System
Published 2003“…The optimum reaction temperature was determined to be about 60°C and the reaction period was 60 min. The optimum concentration of H2O2 was 0.03M and optimum amounts of Fe2+ and MMA were 0.26 mmol and 2.36 × 10-2 mol, respectively. …”
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Article -
1550
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1551
Understanding Chromatin Organization and Dynamics with Coarse-Grained Modeling
Published 2024Get full text
Thesis -
1552
Role of BAR domain proteins in myogenesis
Published 2015“…IRSp53 (53 kDa Insulin Receptor Substrate protein) and Toca-1 (Transducer of Cdc42-dependent actin assembly) are members of BAR (BIN/amphiphysin!Rvs) domain proteins which co-ordinate membrane bending with actin cytoskeleton remodeling. …”
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Thesis -
1553
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1554
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1555
Optimization of surface roughness on duplex stainless steel in dry milling
Published 2024“…An optimum machining parameters speed of cutting of 78.283 mm/min, rate of feed of 0.100 mm/tooth and axial depth of 0.834 mm is identified as the optimum values.…”
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Conference or Workshop Item -
1556
Artificial neural network-salp-swarm algorithm for stock price prediction
Published 2024“…Before training, the dataset is normalized using the min-max normalization technique to reduce the influence of noise. …”
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Article -
1557
Optimizing targeted vaccination across cyber–physical networks: an empirically based mathematical simulation stud
Published 2021“…Here, we study the digital communication activity of more than 500 individuals along with their person-to-person contacts at a 5-min temporal resolution. We then simulate different disease transmission scenarios on the person-to-person physical contact network to determine whether cyber communication networks can be harnessed to advance the goal of targeted vaccination for a disease spreading on the network of physical proximity. …”
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Article -
1558
Optimizing targeted vaccination across cyber–physical networks: an empirically based mathematical simulation study
Published 2021“…Here, we study the digital communication activity of more than 500 individuals along with their person-to-person contacts at a 5-min temporal resolution. We then simulate different disease transmission scenarios on the person-to-person physical contact network to determine whether cyber communication networks can be harnessed to advance the goal of targeted vaccination for a disease spreading on the network of physical proximity. …”
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Article -
1559
Query lower bounds for log-concave sampling
Published 2024“…In this work, we establish the following query lower bounds: (1) sampling from strongly log-concave and log-smooth distributions in dimension ≥ 2 requires Ω(log) queries, which is sharp in any constant dimension, and (2) sampling from Gaussians in dimension (hence also from general log-concave and log-smooth distributions in dimension) requires Ωe(min( √ log,)) queries, which is nearly sharp for the class of Gaussians. …”
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Article -
1560