scholarly journals Recent Developments inβ-Zn4Sb3Based Thermoelectric Compounds

2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Tianhua Zou ◽  
Wenjie Xie ◽  
Jian Feng ◽  
Xiaoying Qin ◽  
Anke Weidenkaff
Keyword(s):  
Waste Heat ◽  
Future Research ◽  
Heat Sources ◽  
Research Directions ◽  
Temperature Range ◽  
New Methods ◽  
Recent Developments ◽  
Long Time ◽  
Future Research Directions ◽  
Industrial Waste Heat

Thermoelectricity has been recognized as an environmentally friendly energy conversion technology due to its ability to directly achieve conversion between heat and electricity for a long time.β-Zn4Sb3has attracted considerable interest as promising thermoelectric material in the moderate temperature range (500 K–900 K), which is the temperature range of most industrial waste heat sources. In this paper, first we present the structure ofβ-Zn4Sb3and the traditional doping strategy used to enhance its performance. Next, we review the details of some new methods utilized for improving the thermoelectric properties ofβ-Zn4Sb3and its thermal stability as well as reliability. Finally, the review finishes with highlighting some promising strategies for future research directions in the material.

Frontiers in Service Science: Fintech Operations—An Overview of Recent Developments and Future Research Directions

2021 ◽  
Vol 13 (1) ◽  
pp. 19-35
Author(s):  
Baile Lu ◽  
Shuai Hao ◽  
Michael Pinedo ◽  
Yuqian Xu
Keyword(s):  
Future Research ◽  
Algorithmic Trading ◽  
Payment Systems ◽  
Research Directions ◽  
Operational Risks ◽  
Technology Industry ◽  
Recent Developments ◽  
Future Research Directions ◽  
Conclusion Section ◽  
Financial Technology

In this paper, we provide a survey of recent developments in the fintech (financial technology) industry, focusing on the operational structures, the technologies involved, and the operational risks associated with the new systems. In particular, we discuss payment systems, algorithmic trading, robo-advisory, crowdfunding, and peer-to-peer lending. In the conclusion section, we discuss various promising research directions.

Nonlinear Vibrations of Plates: An Update of Recent Research Developments

1996 ◽  
Vol 49 (10S) ◽  
pp. S55-S62 ◽  
Author(s):  
M. Sathyamoorthy
Keyword(s):  
Nonlinear Vibrations ◽  
Laminated Composite ◽  
Composite Plates ◽  
Future Research ◽  
Research Directions ◽  
Inertia Effects ◽  
Vibration Behavior ◽  
Recent Developments ◽  
Complicating Factors ◽  
Future Research Directions

This paper comprises a survey on the nonlinear vibration analysis of plates, with emphasis on research carried out since 1987. Most of the research reviewed here deals with the effects of geometric nonlinearity on the vibration behavior of plates. Complicating factors such as material nonlinearity, geometric imperfections, transverse shear and rotatory inertia effects, and magnetic fields on the vibration behavior are included. Recent developments in the analytical and numerical methods of solution of isotropic, orthotropic as well as laminated, composite plates are presented. Experimental, analytical, and numerical investigations are included for all the cases reviewed and some general remarks are presented along with suggestions for future research directions.

scholarly journals Review on Learning and Extracting Graph Features for Link Prediction

2020 ◽  
Vol 2 (4) ◽  
pp. 672-704
Author(s):  
Ece C. Mutlu ◽  
Toktam Oghaz ◽  
Amirarsalan Rajabi ◽  
Ivan Garibay
Keyword(s):  
Biological Networks ◽  
Link Prediction ◽  
Telecommunication Networks ◽  
Probabilistic Methods ◽  
Future Research ◽  
Data Sets ◽  
Relational Models ◽  
Research Directions ◽  
Recent Developments ◽  
Future Research Directions

Link prediction in complex networks has attracted considerable attention from interdisciplinary research communities, due to its ubiquitous applications in biological networks, social networks, transportation networks, telecommunication networks, and, recently, knowledge graphs. Numerous studies utilized link prediction approaches in order sto find missing links or predict the likelihood of future links as well as employed for reconstruction networks, recommender systems, privacy control, etc. This work presents an extensive review of state-of-art methods and algorithms proposed on this subject and categorizes them into four main categories: similarity-based methods, probabilistic methods, relational models, and learning-based methods. Additionally, a collection of network data sets has been presented in this paper, which can be used in order to study link prediction. We conclude this study with a discussion of recent developments and future research directions.

The concept of organisational projectification: past, present and beyond?

2019 ◽  
Vol 12 (3) ◽  
pp. 565-577 ◽  
Author(s):  
Harvey Maylor ◽  
Virpi Turkulainen
Keyword(s):  
Future Research ◽  
Discussion Paper ◽  
Research Directions ◽  
Policy Makers ◽  
Content Type ◽  
Recent Developments ◽  
Organisational Process ◽  
Future Research Directions ◽  
Published Research ◽  
Practical Implications

Purpose The purpose of this paper is to reflect on the past 25 years of the research on projectification, focusing especially on organisational aspects of projectification, as well as to discuss recent developments and potential future research directions. Design/methodology/approach This is a discussion paper, which draws on previously published research and data. Findings The first section identifies contexts in which projectification has taken place (projectification of) and the organisational process by which this has taken place (projectification through). Using an illustrative example based on publicly available data, the second section shows an extension of the organisational phenomenon, referred to as advanced organisational projectification. The paper concludes with a synthesised framework of organisational projectification. Research limitations/implications The paper provides a personal reflection and commentary and is focused on the conceptualisation of the term rather than an all-encompassing study of projectification. Based on the discussion, the paper presents a synthesised view of organisational projectification as well as directions for future research to advance the understanding of projectification. Practical implications The study has implications for policy-makers in the design of the process of ongoing projectification and provides illustrations and a warning concerning the assumptions that are made as an organisation advances in its projectification. Originality/value This paper provides an elaboration of one of the focal concepts of project studies, extending some of the key elements of project management research.

Research of Condition Monitoring and Fault Diagnosis Techniques for Wind Turbine Gearbox

2012 ◽  
Vol 197 ◽  
pp. 206-210 ◽  
Author(s):  
Xian You Zhong ◽  
Liang Cai Zeng ◽  
Chun Hua Zhao ◽  
Jin Zhang ◽  
Shi Qing Wan
Keyword(s):  
Fault Diagnosis ◽  
Wind Turbine ◽  
Condition Monitoring ◽  
Future Research ◽  
Wind Turbine Gearbox ◽  
Research Directions ◽  
Long Time ◽  
Future Research Directions ◽  
Wind Power Industry ◽  
The Cost

Wind power industry enormously expanded during the last several years. However, wind turbines are subjected to different sorts of failures, which lead to the increasement of the cost. The wind turbine gearbox is the most critical component in terms of high failure rates and long time to repair. This paper described common failures and root causes of wind turbine gearboxes. Then it focused on fault diagnosis and monitoring techniques for the wind turbine gearbox. The challenges and future research directions were presented, and the simulator rig of wind turbine gearbox was designed to develop condition monitoring and fault diagnosis techniques for wind turbine gearbox.

Methods and Techniques of Data Mining

2021 ◽  
pp. 749-767
Author(s):  
Ana Funes ◽  
Aristides Dasso
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Research And Development ◽  
Knowledge Acquisition ◽  
Future Research ◽  
Research Directions ◽  
New Methods ◽  
Methods And Techniques ◽  
Future Research Directions

Nowadays, there is an increasing number of applications where artificial intelligence has fuelled the research and development of new methods, techniques, and tools related to knowledge acquisition and data mining. The development of data mining and other related disciplines has benefited from the existence of large volumes of data proceeding from the most diverse sources and domains. KDD process and methods of data mining allows for the discovery of knowledge in data that is hidden to humans, presenting this knowledge under different ways. In this chapter, the relation of data mining with other disciplines is analyzed, an overview of data mining tasks and methods is presented, and also a possible classification of them is given. Finally, a brief discussion on issues associated to the discipline and future research directions are also given.

Data Visualisation in Business

2021 ◽  
pp. 126-136
Author(s):  
Remya Lathabhavan ◽  
K. M. S. V. D. Akshar
Keyword(s):  
Data Visualization ◽  
Future Research ◽  
Complex Data ◽  
Data Visualisation ◽  
Data Set ◽  
Research Directions ◽  
Aesthetic Form ◽  
Recent Developments ◽  
Future Research Directions ◽  
Key Aspects

The main objective of data visualization is to communicate information clearly and effectively through graphical means. It doesn't mean that data visualization needs to look boring to be functional or extremely sophisticated to look beautiful. To convey ideas effectively, both aesthetic form and functionality need to go hand in hand, providing insights into a rather sparse and complex data set by communicating its key-aspects in a more intuitive way. This chapter analyses the following aspects of data visualisation. First, it describes data visualisation. Second, it describes the importance of data visualisation in business. Third, it describes different types of data visualisation methods used in business and familiarises some tools available for data visualisation. Last, it describes the recent developments in data visualisation and its future research directions.

Understanding Green Attitudes

2018 ◽  
pp. 51-71
Author(s):  
Aysen Coskun
Keyword(s):  
Consumer Behavior ◽  
Attitude Change ◽  
Environmental Literature ◽  
Future Research ◽  
Attitude Measurement ◽  
Research Directions ◽  
New Methods ◽  
Future Research Directions ◽  
Attitude Behavior

Many environmental researches are interested in attitudes. Particularly in consumer behavior studies, attitudes are frequently used to identify the determinants of behavior. This chapter provides a framework for green attitude, first by focusing on its components and formation. The attitude-behavior gap is also discussed by categorizing a number of variables that are found to affect this relationship in the environmental literature. Following sections provide well-established scales of green attitudes and how they are measured. Finally, insights for green attitude change are discussed, along with future research directions, which underline the importance of new methods for attitude measurement.

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