scholarly journals Blockchain Consensus: An Overview of Alternative Protocols

Symmetry ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1363
Author(s):  
Damilare Peter Oyinloye ◽  
Je Sen Teh ◽  
Norziana Jamil ◽  
Moatsum Alawida

Blockchain networks are based on cryptographic notions that include asymmetric-key encryption, hash functions and consensus protocols. Despite their popularity, mainstream protocols, such as Proof of Work or Proof of Stake still have drawbacks. Efforts to enhance these protocols led to the birth of alternative consensus protocols, catering to specific areas, such as medicine or transportation. These protocols remain relatively unknown despite having unique merits worth investigating. Although past reviews have been published on popular blockchain consensus protocols, they do not include most of these lesser-known protocols. Highlighting these alternative consensus protocols contributes toward the advancement of the state of the art, as they have design features that may be useful to academics, blockchain practitioners and researchers. In this paper, we bridge this gap by providing an overview of alternative consensus protocols proposed within the past 3 years. We evaluate their overall performance based on metrics such as throughput, scalability, security, energy consumption, and finality. In our review, we examine the trade-offs that these consensus protocols have made in their attempts to optimize scalability and performance. To the best of our knowledge, this is the first paper that focuses on these alternative protocols, highlighting their unique features that can be used to develop future consensus protocols.

2018 ◽  
Author(s):  
Guy A Prochilo ◽  
Winnifred R Louis ◽  
Stefan Bode ◽  
Hannes Zacher ◽  
Pascal Molenberghs

Note: this manuscript has been peer reviewed and is published in Meta-Psychology. Please cite as: Prochilo, G. A., Louis, W. R., Bode, S., Zacher, H., & Molenberghs, P. (2019). An Extended Commentary on Post-publication Peer Review in Organizational Neuroscience. Meta-Psychology, 3. https://doi.org/10.15626/MP.2018.935 | While considerable progress has been made in organizational neuroscience over the past decade, we argue that critical evaluations of published empirical works are not being conducted carefully and consistently. In this extended commentary we take as an example Waldman and colleagues (2017): a major review work that evaluates the state-of-the-art of organizational neuroscience. In what should be an evaluation of the field’s empirical work, the authors uncritically summarize a series of studies that: (1) provide insufficient transparency to be clearly understood, evaluated, or replicated, and/or (2) which misuse inferential tests that lead to misleading conclusions, among other concerns. These concerns have been ignored across multiple major reviews and citing articles. We therefore provide a post-publication review (in two parts) of one-third of all studies evaluated in Waldman and colleague’s major review work. In Part I, we systematically evaluate the field’s two seminal works with respect to their methods, analytic strategy, results, and interpretation of findings. And in Part II, we provide focused reviews of secondary works that each center on a specific concern we suggest should be a point of discussion as the field moves forward. In doing so, we identify a series of practices we recommend will improve the state of the literature. This includes: (1) evaluating the transparency and completeness of an empirical article before accepting its claims, (2) becoming familiar with common misuses or misconceptions of statistical testing, and (3) interpreting results with an explicit reference to effect size magnitude, precision, and accuracy, among other recommendations. We suggest that adopting these practices will motivate the development of a more replicable, reliable, and trustworthy field of organizational neuroscience moving forward.


Author(s):  
Liangxing Hu ◽  
Nan Wang ◽  
Kai Tao

Micro-/nanomotors are self-propelled micro-/nanomachines, which are capable of converting the surrounding fuels into mechanical movement or force. Inspired by naturally occurring biomolecular motor proteins, scientists extensively paid great attentions to synthetic micro-/nanomotors. Especially, a number of researchers devoted their efforts onto catalytic micro-/nanomotors. In the past few decades, several advanced developments and excellent contributions have been made in catalytic micro-/nanomotors. The future of this research field can be bright, but some major existing challenges such as biocompatible materials and fuels, smart controlling, and specifically practical applications are still required to be resolved. Therefore, it is essential for us to learn the state of the art of catalytic micro-/nanomotors. In this chapter, the propulsion mechanisms, fabrication methods, controlling strategies, and potential applications of catalytic micro-/nanomotors are presented and summarized.


2019 ◽  
Vol 3 ◽  
Author(s):  
Guy A Prochilo ◽  
Winnifred R Louis ◽  
Stefan Bode ◽  
Hannes Zacher ◽  
Pascal Molenberghs

While considerable progress has been made in organizational neuroscience over the past decade, we argue that critical evaluations of published empirical works are not being conducted carefully and consistently. In this ex- tended commentary we take as an example Waldman and colleagues (2017): a major review work that evaluates the state-of-the-art of organizational neuroscience. In what should be an evaluation of the field’s empirical work, the authors uncritically summarize a series of studies that: (1) provide insufficient transparency to be clearly un- derstood, evaluated, or replicated, and/or (2) which misuse inferential tests that lead to misleading conclusions, among other concerns. These concerns have been ignored across multiple major reviews and citing articles. We therefore provide a post-publication review (in two parts) of one-third of all studies evaluated in Waldman and colleague’s major review work. In Part I, we systematically evaluate the field’s two seminal works with respect to their methods, analytic strategy, results, and interpretation of findings. And in Part II, we provide focused reviews of secondary works that each center on a specific concern we suggest should be a point of discussion as the field moves forward. In doing so, we identify a series of practices we recommend will improve the state of the literature. This includes: (1) evaluating the transparency and completeness of an empirical article before accepting its claims, (2) becoming familiar with common misuses or misconceptions of statistical testing, and (3) interpreting results with an explicit reference to effect size magnitude, precision, and accuracy, among other recommendations. We suggest that adopting these practices will motivate the development of a more replicable, reliable, and trustworthy field of organizational neuroscience moving forward.


Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 344
Author(s):  
Alejandro Humberto García Ruiz ◽  
Salvador Ibarra Martínez ◽  
José Antonio Castán Rocha ◽  
Jesús David Terán Villanueva ◽  
Julio Laria Menchaca ◽  
...  

Electricity is one of the most important resources for the growth and sustainability of the population. This paper assesses the energy consumption and user satisfaction of a simulated air conditioning system controlled with two different optimization algorithms. The algorithms are a genetic algorithm (GA), implemented from the state of the art, and a non-dominated sorting genetic algorithm II (NSGA II) proposed in this paper; these algorithms control an air conditioning system considering user preferences. It is worth noting that we made several modifications to the objective function’s definition to make it more robust. The energy-saving optimization is essential to reduce CO2 emissions and economic costs; on the other hand, it is desirable for the user to feel comfortable, yet it will entail a higher energy consumption. Thus, we integrate user preferences with energy-saving on a single weighted function and a Pareto bi-objective problem to increase user satisfaction and decrease electrical energy consumption. To assess the experimentation, we constructed a simulator by training a backpropagation neural network with real data from a laboratory’s air conditioning system. According to the results, we conclude that NSGA II provides better results than the state of the art (GA) regarding user preferences and energy-saving.


Author(s):  
Fabricio Almeida-Silva ◽  
Kanhu C Moharana ◽  
Thiago M Venancio

Abstract In the past decade, over 3000 samples of soybean transcriptomic data have accumulated in public repositories. Here, we review the state of the art in soybean transcriptomics, highlighting the major microarray and RNA-seq studies that investigated soybean transcriptional programs in different tissues and conditions. Further, we propose approaches for integrating such big data using gene coexpression network and outline important web resources that may facilitate soybean data acquisition and analysis, contributing to the acceleration of soybean breeding and functional genomics research.


2015 ◽  
Vol 738-739 ◽  
pp. 1105-1110 ◽  
Author(s):  
Yuan Qing Qin ◽  
Ying Jie Cheng ◽  
Chun Jie Zhou

This paper mainly surveys the state-of-the-art on real-time communicaton in industrial wireless local networks(WLANs), and also identifys the suitable approaches to deal with the real-time requirements in future. Firstly, this paper summarizes the features of industrial WLANs and the challenges it encounters. Then according to the real-time problems of industrial WLAN, the fundamental mechanism of each recent representative resolution is analyzed in detail. Meanwhile, the characteristics and performance of these resolutions are adequately compared. Finally, this paper concludes the current of the research and discusses the future development of industrial WLANs.


Author(s):  
Viktoriia Chokhrii ◽  

The article is devoted to the consideration of problematic aspects of the implementation of administrative responsibility for non-payment of child support, is used in the form of socially useful work. In particular, the essence of this type of administrative penalty is revealed. The study focuses on the problematic issues that arise in the implementation of the imposed administrative responsibility in the form of socially useful work. A number of problems concerning the legal application of Article 183-1 of the Code of Ukraine on Administrative Offenses (hereinafter – the Code of Administrative Offenses) and ways of their solution have been outlined. Amendments to the current legislation of Ukraine are proposed in order to improve the implementation of resolutions in cases of administrative offenses. In particular, it is proposed to monitor the workload of the staff of the territorial bodies of the State Executive Service in Ukraine and analyze their staffing standards and functional responsibilities for the preparation of materials under Article 183-1 of the Code of Administrative Offenses. In addition, it was proposed to improve the organization of the performance of socially useful work by local governments by conducting appropriate explanatory work and methodological assistance to local governments in organizing the solution of this issue. The article proposes to transfer control functions to the executive body, and to improve the duty imposed on local governments to provide socially useful work is to improve, including amendments to the labor legislation of Ukraine. It is noted that when drawing up an administrative offense or making a decision in the case, it is necessary to find out the presence or absence of circumstances that for good reasons made it impossible for the debtor to pay child support, or the existing alimony arrears for the past period. The expediency of development of methodical recommendations for local self-government bodies concerning the order of definition and performance of socially useful works is substantiated.


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