A Strategic Two-Stage Low-Temperature Thermal Processing Leading to Fully Dense and Fine-Grained Doped-ZnO Varistors

Abstract TRI-MARK TM-811N2 is a flux-cored welding electrode for all position semiautomatic arc welding. It is designed to weld 2-3% nickel steels for applications requiring good toughness at subzero temperatures; in addition, it is used to weld various other high-strength low-alloy steels and various fine-grained steels with low-temperature toughness. Tri-Mark TM-811N2 is used to deposit typically 2.35% nickel steel weld metal with good low-temperature impact properties. It is used for shipbuilding, oil rigs and similar structures. This datasheet provides information on composition, physical properties, elasticity, and tensile properties as well as fracture toughness. It also includes information on corrosion resistance as well as heat treating, machining, and joining. Filing Code: SA-389. Producer or source: Tri-Mark Inc..

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Process control for low temperature reactive deposition of Al doped ZnO films by ICP-assisted DC magnetron sputtering

Surface and Coatings Technology ◽

10.1016/j.surfcoat.2005.02.207 ◽

2005 ◽

Vol 200 (1-4) ◽

pp. 862-866 ◽

Cited By ~ 15

Author(s):

S.J. Jung ◽

B.M. Koo ◽

Y.H. Han ◽

J.J. Lee ◽

J.H. Joo

Keyword(s):

Low Temperature ◽

Process Control ◽

Magnetron Sputtering ◽

Zno Films ◽

Dc Magnetron Sputtering ◽

Reactive Deposition ◽

Doped Zno

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Coarse2Fine: a two-stage training method for fine-grained visual classification

Machine Vision and Applications ◽

10.1007/s00138-021-01180-y ◽

2021 ◽

Vol 32 (2) ◽

Author(s):

Amir Erfan Eshratifar ◽

David Eigen ◽

Michael Gormish ◽

Massoud Pedram

Keyword(s):

Training Method ◽

Two Stage ◽

Visual Classification ◽

Fine Grained

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Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis

Proceedings of the AAAI Conference on Artificial Intelligence ◽

10.1609/aaai.v34i05.6383 ◽

2020 ◽

Vol 34 (05) ◽

pp. 8600-8607

Author(s):

Haiyun Peng ◽

Lu Xu ◽

Lidong Bing ◽

Fei Huang ◽

Wei Lu ◽

...

Keyword(s):

Sentiment Analysis ◽

State Of The Art ◽

Complete Solution ◽

Unified Model ◽

Two Stage ◽

Fine Grained ◽

Aspect Extraction ◽

Second Stage ◽

Opinion Extraction ◽

Complete Story

Target-based sentiment analysis or aspect-based sentiment analysis (ABSA) refers to addressing various sentiment analysis tasks at a fine-grained level, which includes but is not limited to aspect extraction, aspect sentiment classification, and opinion extraction. There exist many solvers of the above individual subtasks or a combination of two subtasks, and they can work together to tell a complete story, i.e. the discussed aspect, the sentiment on it, and the cause of the sentiment. However, no previous ABSA research tried to provide a complete solution in one shot. In this paper, we introduce a new subtask under ABSA, named aspect sentiment triplet extraction (ASTE). Particularly, a solver of this task needs to extract triplets (What, How, Why) from the inputs, which show WHAT the targeted aspects are, HOW their sentiment polarities are and WHY they have such polarities (i.e. opinion reasons). For instance, one triplet from “Waiters are very friendly and the pasta is simply average” could be (‘Waiters’, positive, ‘friendly’). We propose a two-stage framework to address this task. The first stage predicts what, how and why in a unified model, and then the second stage pairs up the predicted what (how) and why from the first stage to output triplets. In the experiments, our framework has set a benchmark performance in this novel triplet extraction task. Meanwhile, it outperforms a few strong baselines adapted from state-of-the-art related methods.

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Two-stage local constrained sparse coding for fine-grained visual categorization

Science China Information Sciences ◽

10.1007/s11432-017-9158-x ◽

2017 ◽

Vol 61 (1) ◽

Cited By ~ 7

Author(s):

Lihua Guo ◽

Chenggang Guo ◽

Lei Li ◽

Qinghua Huang ◽

Yanshan Li ◽

...

Keyword(s):

Sparse Coding ◽

Two Stage ◽

Visual Categorization ◽

Fine Grained

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Effects of Double-Ageing Heat Treatments on the Microstructure and Mechanical Behaviour of a Ti-3.5Al-5Mo-4V Alloy

Materials ◽

10.3390/ma14010209 ◽

2021 ◽

Vol 14 (1) ◽

pp. 209

Author(s):

Xuanming Ji ◽

Panpan Ge ◽

Song Xiang ◽

Yuanbiao Tan

Keyword(s):

Electron Microscopy ◽

High Temperature ◽

Low Temperature ◽

Mechanical Behaviour ◽

Ageing Time ◽

Two Stage ◽

Ageing Treatment ◽

Ω Phase ◽

Α Phase ◽

Temperature Ageing

In this work, the effect of double-ageing heat treatments on the microstructural evolution and mechanical behaviour of a metastable β-titanium Ti-3.5Al-5Mo-4V alloy is investigated by X-ray diffraction (XRD), scanning electron microscopy (SEM) and transmission electron microscopy (TEM). The double-ageing treatments are composed of low-temperature pre-ageing and high-temperature ageing, where the low-temperature pre-ageing is conducted at 300 °C or 350 °C for different times, and the high-temperature ageing is conducted at 500 °C for 8 h. The results show that the phase transformation sequence is altered with the time spent during the first ageing stage, the isothermal ω phase is precipitated in the pre-ageing process of the alloy at 300 °C and 350 °C with the change in the ageing time, and the ω phase is finally transformed into the α phase with the extension of pre-ageing time. The existence time of the ω phase is shortened as the pre-ageing temperature increases. The microhardness of the alloy increases with increasing pre-ageing time and temperature. Compared with single-stage ageing, the ω phase formed in the pre-ageing stage changes the response to subsequent high-temperature ageing. After the two-stage ageing treatment, the precipitation size of the α phase is obviously refined after the double-ageing treatment. A microhardness test shows that the microhardness of the two-stage aged alloy increases with extended pre-ageing time.

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