Results 11 to 20 of about 24,143 (297)
DTA measurements in the ternary Ag-Au-Ga system [PDF]
In this work, the ternary Ag-Au-Ga system was studied experimentally by differential thermal analysis (DTA). The measurements were carried out along two chosen cross-sections determined by the ratio of mole fractions XAg/XGa=1:1 and XAu/XGa=1:1 by ...
Jendrzejczyk-Handzlik D., Handzlik P.
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Background Drug-target binding affinity (DTA) prediction can accelerate the drug screening process, and deep learning techniques have been used in all facets of drug research.
Xun Wang +6 more
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MTAF–DTA: multi-type attention fusion network for drug–target affinity prediction
Background The development of drug–target binding affinity (DTA) prediction tasks significantly drives the drug discovery process forward. Leveraging the rapid advancement of artificial intelligence, DTA prediction tasks have undergone a transformative ...
Jinghong Sun +4 more
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Crystallization Kinetics of Fractionated Polyethylenes at High Pressures by a DTA Method [PDF]
The crystallization kinetics of fractionated polyethylenes under high pressure was studied by the DTA method for samples having molecular weights of 15500 and 150000. In extended-chain crystallization there was a saturation phenomenon on producing extended-chain crystals. The amount of saturation was dependent on the crystallization temperature.
Sawada, Shuichi, Nose, Takuhei
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Comparison of two methods to calculate external loads at flight in continuous turbulence
The external loads from the continuous turbulence on the elastic high aspect ratio wing of the transport category aircraft are calculated by Dynamics of Turbulence Air (DTA) and Interactive Multidisciplinary Aircraft Design (IMAD) methods.
Bohdan Hevko, Yurij Bondar
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The thermophysical properties of primary phase in lithium germanium phosphate glass [PDF]
The selected lithium germanium-phosphate glass was prepared by a conventional melt-quenching technique. The XRD method was employed to confirm the glass was obtained and to reveal crystalline phases during heat treatment.
Matijašević Srđan D. +6 more
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SubMDTA: drug target affinity prediction based on substructure extraction and multi-scale features
Background Drug–target affinity (DTA) prediction is a critical step in the field of drug discovery. In recent years, deep learning-based methods have emerged for DTA prediction.
Shourun Pan +3 more
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DGDTA: dynamic graph attention network for predicting drug–target binding affinity
Background Obtaining accurate drug–target binding affinity (DTA) information is significant for drug discovery and drug repositioning. Although some methods have been proposed for predicting DTA, the features of proteins and drugs still need to be ...
Haixia Zhai +5 more
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The Dynamic Traffic Assignment (DTA) is one of the important measures to alleviate urban network traffic congestion. The congestions are usually caused by stochastic traffic demands, which are generally unassignable from time dimension in the real-world ...
Zhaotian Pan +4 more
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Sequence-based drug-target affinity prediction using weighted graph neural networks
Background Affinity prediction between molecule and protein is an important step of virtual screening, which is usually called drug-target affinity (DTA) prediction. Its accuracy directly influences the progress of drug development.
Mingjian Jiang +5 more
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