‘T’

@article{Alam2021T,
  title={‘T’},
  author={Parvez Alam},
  journal={Composites Engineering: An A–Z Guide},
  year={2021}
}
  • P. Alam
  • Published 1 October 2021
  • Composites Engineering: An A–Z Guide
DYNAMIC INDUCED FAILURE IN AIR VALVE DUE TO PRESSURE TRANSIENTS IN BURIED IRRIGATION PIPELINE
A BSTRACT : The present work investigates the response of an air valve in terms of dynamic pressure due to kinematic support excitation. For the pur-pose of the analysis a full-scale model was
Cation‐Vacancy‐Enriched Nickel Phosphide for Efficient Electrosynthesis of Hydrogen Peroxides
Electrocatalytic hydrogen peroxide (H2O2) synthesis via the two‐electron oxygen reduction reaction (2e ORR) pathway is becoming increasingly important due to the green production process. Here,
Deciphering the Impact of Genetic Variation on Human Polyadenylation
TLDR
A residual neural network model, APARENT2, is introduced that can infer 3’-cleavage and polyadenylation from DNA sequence more accurately than any previous model and is used to detect an association between gain-of-function mutations in the 3'-end and Autism Spectrum Disorder.
Electroweak Phase Transition in 2HDM under Higgs, Z-pole, and W precision measurements
: In this work we revisit the existence of a strong first order electroweak phase transition (SFOEWPT) and recent m W precision measurement in the Type-I and Type-II 2HDMs. The O (100) GeV new scalars
Equivariant representations for molecular Hamiltonians and N-center atomic-scale properties.
TLDR
A family of structural descriptors are discussed that generalize the very successful atom-centered density correlation features to the N-center case and show, in particular, how this construction can be applied to efficiently learn the matrix elements of the (effective) single-particle Hamiltonian written in an atomic orbital basis.
HRPose: Real-Time High-Resolution 6D Pose Estimation Network Using Knowledge Distillation
TLDR
This work proposes an effective and lightweight model, namely High-Resolution 6D Pose Estimation Network (HRPose), which adopts the efficient and small HRNetV2-W18 as a feature extractor to reduce computational burdens while generating accurate 6D poses.
LSTM Path-Maker : une stratégie à base de réseau de neurones LSTM pour la patrouille multiagent
TLDR
This paper proposes to integrate a recurrent neural network as part of a multiagent patrolling strategy named LSTM Path Maker, and results indicate that the proposed strategy is better than the reactive one.
M-dissipative boundary conditions and boundary tuples for Maxwell operators
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