scholarly journals Mini/Micro/Nano Scale Liquid Metal Motors

Micromachines ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 280
Author(s):  
Li Liu ◽  
Dawei Wang ◽  
Wei Rao
Keyword(s):  
Liquid Metal ◽  
State Of The Art ◽  
Physicochemical Characteristics ◽  
The State ◽  
Considerable Potential ◽  
Nano Scale ◽  
Recent Advances ◽  
Directional Motion ◽  
Good Biocompatibility ◽  
The Difference

Swimming motors navigating in complex fluidic environments have received tremendous attention over the last decade. In particular, liquid metal (LM) as a new emerging material has shown considerable potential in furthering the development of swimming motors, due to their unique features such as fluidity, softness, reconfigurability, stimuli responsiveness, and good biocompatibility. LM motors can not only achieve directional motion but also deformation due to their liquid nature, thus providing new and unique capabilities to the field of swimming motors. This review aims to provide an overview of the recent advances of LM motors and compare the difference in LM macro and micromotors from fabrication, propulsion, and application. Here, LM motors below 1 cm, named mini/micro/nano scale liquid metal motors (MLMTs) will be discussed. This work will present physicochemical characteristics of LMs and summarize the state-of-the-art progress in MLMTs. Finally, future outlooks including both opportunities and challenges of mini/micro/nano scale liquid metal motors are also provided.

scholarly journals Smoke recognition network based on dynamic characteristics

2020 ◽  
Vol 17 (3) ◽  
pp. 172988142092566
Author(s):  
Dahan Wang ◽  
Sheng Luo ◽  
Li Zhao ◽  
Xiaoming Pan ◽  
Muchou Wang ◽  
...  
Keyword(s):  
Dynamic Characteristics ◽  
State Of The Art ◽  
The State ◽  
Detection Accuracy ◽  
Static Characteristics ◽  
Good Tool ◽  
Early Signal ◽  
Fuzzy Objects ◽  
The Difference ◽  
Smoke Recognition

Fire is a fierce disaster, and smoke is the early signal of fire. Since such features as chrominance, texture, and shape of smoke are very special, a lot of methods based on these features have been developed. But these static characteristics vary widely, so there are some exceptions leading to low detection accuracy. On the other side, the motion of smoke is much more discriminating than the aforementioned features, so a time-domain neural network is proposed to extract its dynamic characteristics. This smoke recognition network has these advantages:(1) extract the spatiotemporal with the 3D filters which work on dynamic and static characteristics synchronously; (2) high accuracy, 87.31% samples being classified rightly, which is the state of the art even in a chaotic environments, and the fuzzy objects for other methods, such as haze, fog, and climbing cars, are distinguished distinctly; (3) high sensitiveness, smoke being detected averagely at the 23rd frame, which is also the state of the art, which is meaningful to alarm early fire as soon as possible; and (4) it is not been based on any hypothesis, which guarantee the method compatible. Finally, a new metric, the difference between the first frame in which smoke is detected and the first frame in which smoke happens, is proposed to compare the algorithms sensitivity in videos. The experiments confirm that the dynamic characteristics are more discriminating than the aforementioned static characteristics, and smoke recognition network is a good tool to extract compound feature.

scholarly journals Recent advances in understanding oxygen evolution reaction mechanisms over iridium oxide

2021 ◽  
Author(s):  
Takahiro Naito ◽  
Tatsuya Shinagawa ◽  
Takeshi Nishimoto ◽  
Kazuhiro Takanabe
Keyword(s):  
Reaction Mechanism ◽  
Oxygen Evolution ◽  
Oxygen Evolution Reaction ◽  
Reaction Mechanisms ◽  
State Of The Art ◽  
Iridium Oxide ◽  
The State ◽  
Computational Studies ◽  
Recent Advances ◽  
Iridium Oxides

Recent spectroscopic and computational studies concerning the oxygen evolution reaction over iridium oxides are reviewed to provide the state-of-the-art understanding of its reaction mechanism.

Lexicography

2018 ◽  
Author(s):  
Seyed Mostafa Assi
Keyword(s):  
Information Technology ◽  
State Of The Art ◽  
Applied Linguistics ◽  
The State ◽  
Western Countries ◽  
Persian Language ◽  
Recent Advances ◽  
History Of ◽  
Middle Persian ◽  
Modern Era

The history of lexicography in Iran dates back to more than 2,000 years ago, to the time of the compilation of bilingual and monolingual lexicons for the Middle Persian language. After a review of the long and rich tradition of Persian lexicography, the chapter gives an account of the state of the art in the modern era by describing recent advances and developments in this field. During the last three or four decades, in line with the advancements in western countries, Iranian lexicography evolved from its traditional state into a modern professional and academic activity trying to improve the form and content of dictionaries by implementing the following factors: the latest achievements in theoretical and applied linguistics related to lexicography; and the computer techniques and information technology and corpus-based approach to lexicography.

State-of-the-Art in Micro- and Meso-Scale Heat Exchangers

1999 ◽  
Author(s):  
Reza Shekarriz ◽  
Charles J. Call
Keyword(s):  
Heat Exchanger ◽  
Research And Development ◽  
Heat Exchangers ◽  
State Of The Art ◽  
The State ◽  
Manufacturing Processes ◽  
Review Of The Literature ◽  
Design Constraints ◽  
Recent Advances ◽  
Meso Scale

Abstract A review of the literature and the state-of-the-art in research and development of miniature heat exchangers is presented in this paper. The authors provide a discussion of what makes the micro- and meso-scales important, highlight the design constraints and challenges that surface when miniaturizing a heat exchanger, and outline and discuss the outstanding practical and scientific issues in this area. Finally, the most recent advances in manufacturing processes and application of these miniature heat exchangers are covered in this article.

scholarly journals Molecular Modeling in Drug Design

Molecules ◽  
2019 ◽  
Vol 24 (2) ◽  
pp. 321 ◽  
Author(s):  
Rebecca Wade ◽  
Outi Salo-Ahen
Keyword(s):  
Molecular Modeling ◽  
Drug Design ◽  
State Of The Art ◽  
The State ◽  
Special Issue ◽  
Recent Advances

This Special Issue contains thirteen articles that provide a vivid snapshot of the state-of-the-art of molecular modeling in drug design, illustrating recent advances and critically discussing important challenges [...]

The Analysis of Depth-Sensing Indentation Data: Review of the Special Discussion Session

1993 ◽  
Vol 308 ◽  
Author(s):  
Shefford P. Baker ◽  
T.P. Weihs
Keyword(s):  
Thin Films ◽  
Mechanical Properties ◽  
State Of The Art ◽  
The State ◽  
Discussion Session ◽  
Depth Sensing ◽  
Recent Advances

In light of recent advances in the analysis of depth-sensing indentation data and of the importance of this technique in the study of the mechanical properties of thin films, a special discussion session was held in order to explore the state of the art and to provide an informal forum for discussion. This is a brief review of that discussion. The discussion was focused by the four main sources of deviation from model behavior described in the previous paper.

scholarly journals Hybrid plasmonic–photonic whispering gallery mode resonators for sensing: a critical review

The Analyst ◽  
2017 ◽  
Vol 142 (6) ◽  
pp. 883-898 ◽  
Author(s):  
Angelo Bozzola ◽  
Sara Perotto ◽  
Francesco De Angelis
Keyword(s):  
Critical Review ◽  
Optical Sensing ◽  
State Of The Art ◽  
Whispering Gallery Mode ◽  
The State ◽  
Whispering Gallery ◽  
Recent Advances ◽  
Wgm Resonators

In this review we present the state of the art and the most recent advances in the field of optical sensing with hybrid plasmonic–photonic whispering gallery mode (WGM) resonators.

scholarly journals Making pointer analysis more precise by unleashing the power of selective context sensitivity

2021 ◽  
Vol 5 (OOPSLA) ◽  
pp. 1-27
Author(s):  
Tian Tan ◽  
Yue Li ◽  
Xiaoxing Ma ◽  
Chang Xu ◽  
Yannis Smaragdakis
Keyword(s):  
State Of The Art ◽  
Context Sensitivity ◽  
The State ◽  
Pointer Analysis ◽  
Proof Of Concept ◽  
Context Sensitive ◽  
Java Programs ◽  
One Step ◽  
The Difference

Traditional context-sensitive pointer analysis is hard to scale for large and complex Java programs. To address this issue, a series of selective context-sensitivity approaches have been proposed and exhibit promising results. In this work, we move one step further towards producing highly-precise pointer analyses for hard-to-analyze Java programs by presenting the Unity-Relay framework, which takes selective context sensitivity to the next level. Briefly, Unity-Relay is a one-two punch: given a set of different selective context-sensitivity approaches, say S = S1, . . . , Sn, Unity-Relay first provides a mechanism (called Unity)to combine and maximize the precision of all components of S. When Unity fails to scale, Unity-Relay offers a scheme (called Relay) to pass and accumulate the precision from one approach Si in S to the next, Si+1, leading to an analysis that is more precise than all approaches in S. As a proof-of-concept, we instantiate Unity-Relay into a tool called Baton and extensively evaluate it on a set of hard-to-analyze Java programs, using general precision metrics and popular clients. Compared with the state of the art, Baton achieves the best precision for all metrics and clients for all evaluated programs. The difference in precision is often dramatic — up to 71% of alias pairs reported by previously-best algorithms are found to be spurious and eliminated.

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