Marine Coal-Fired Boilers—State of the Art

1983 ◽  
Vol 20 (01) ◽  
pp. 26-34
Author(s):  
Robert B. Hedges
Keyword(s):  
System Design ◽  
State Of The Art ◽  
The State ◽  
The Past ◽  
Design Philosophy ◽  
Marine Boiler ◽  
Short Time ◽  
Economic Considerations

Owing to economic considerations, there has been renewed interest in the use of coal as a shipboard fuel. To utilize coal aboard ship again required only the application of technology developed and proven ashore over the past 30 years since coal was last used extensively at sea. The development of a modern coal-fired marine boiler was thus possible in a relatively short time. The paper discusses the state of the art of marine coal-fired boilers, including economics, alternative firing systems, boiler performance, design philosophy, and system design.

scholarly journals The state of the art in soybean transcriptomics resources and gene coexpression networks

2021 ◽  
Author(s):  
Fabricio Almeida-Silva ◽  
Kanhu C Moharana ◽  
Thiago M Venancio
Keyword(s):  
State Of The Art ◽  
The State ◽  
Gene Coexpression Network ◽  
Rna Seq ◽  
Transcriptomic Data ◽  
The Past ◽  
Gene Coexpression ◽  
Genomics Research ◽  
Public Repositories ◽  
Coexpression Networks

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.

The State of the Art in Management Education Applicable to Aerospace Activities

1967 ◽  
Vol 71 (677) ◽  
pp. 342-343
Author(s):  
F. H. East
Keyword(s):  
Research And Development ◽  
Management Education ◽  
State Of The Art ◽  
Development Project ◽  
The State ◽  
The Other ◽  
The Past ◽  
Defence Budget ◽  
The One ◽  
Almost All

The Aviation Group of the Ministry of Technology (formerly the Ministry of Aviation) is responsible for spending a large part of the country's defence budget, both in research and development on the one hand and production or procurement on the other. In addition, it has responsibilities in many non-defence fields, mainly, but not exclusively, in aerospace.Few developments have been carried out entirely within the Ministry's own Establishments; almost all have required continuous co-operation between the Ministry and Industry. In the past the methods of management and collaboration and the relative responsibilities of the Ministry and Industry have varied with time, with the type of equipment to be developed, with the size of the development project and so on. But over the past ten years there has been a growing awareness of the need to put some system into the complex business of translating a requirement into a specification and a specification into a product within reasonable bounds of time and cost.

A new correlation-based approach for ensemble selection in random forests

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mostafa El Habib Daho ◽  
Nesma Settouti ◽  
Mohammed El Amine Bechar ◽  
Amina Boublenza ◽  
Mohammed Amine Chikh
Keyword(s):  
State Of The Art ◽  
Ensemble Methods ◽  
The State ◽  
Ensemble Classifiers ◽  
Content Type ◽  
Pruning Method ◽  
Ensemble Selection ◽  
Small Ensemble ◽  
Short Time ◽  
Pruning Techniques

PurposeEnsemble methods have been widely used in the field of pattern recognition due to the difficulty of finding a single classifier that performs well on a wide variety of problems. Despite the effectiveness of these techniques, studies have shown that ensemble methods generate a large number of hypotheses and that contain redundant classifiers in most cases. Several works proposed in the state of the art attempt to reduce all hypotheses without affecting performance.Design/methodology/approachIn this work, the authors are proposing a pruning method that takes into consideration the correlation between classifiers/classes and each classifier with the rest of the set. The authors have used the random forest algorithm as trees-based ensemble classifiers and the pruning was made by a technique inspired by the CFS (correlation feature selection) algorithm.FindingsThe proposed method CES (correlation-based Ensemble Selection) was evaluated on ten datasets from the UCI machine learning repository, and the performances were compared to six ensemble pruning techniques. The results showed that our proposed pruning method selects a small ensemble in a smaller amount of time while improving classification rates compared to the state-of-the-art methods.Originality/valueCES is a new ordering-based method that uses the CFS algorithm. CES selects, in a short time, a small sub-ensemble that outperforms results obtained from the whole forest and the other state-of-the-art techniques used in this study.

Cultural Economics: The State of the Art and Perspectives

2021 ◽  
Vol 27 (1) ◽  
pp. 7-32
Author(s):  
Bruce A. Seaman
Keyword(s):  
Industrial Organization ◽  
Intellectual Development ◽  
State Of The Art ◽  
Cultural Economics ◽  
The State ◽  
Sports Economics ◽  
Developmental Patterns ◽  
The Past ◽  
Alternative Perspective ◽  
Core Questions

The intellectual development of cultural economics has exhibited some notable similarities to the challenges faced by researchers pioneering in other areas of economics. While this is not really surprising, previous reviews of this literature have not focused on such patterns. Specifically, the methodology and normative implications of the field of industrial organization and antitrust policy suggest a series of stages identified here as foundation, maturation, reevaluation, and backlash that suggest a way of viewing the development of and controversies surrounding cultural economics. Also, the emerging field of sports economics, which already shares some substantive similarities to the questions addressed in cultural economics, presents a pattern of development by which core questions and principles are identified in a fragmented literature, which then slowly coalesces and becomes consolidated into a more unified literature that essentially reconfirms and extends those earlier core principles. This fragmentation and consolidation pattern is also exhibited by the development of cultural economics. While others could surely suggest different parallels in the search for such developmental patterns, this way of organizing ones thinking about the past and future of this field provides a hoped for alternative perspective on the state of the art of cultural economics.

scholarly journals The Embeddedness of Social Sciences and Economics in Research on Resources

Resources ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 15
Author(s):  
Juan Uribe-Toril ◽  
José Luis Ruiz-Real ◽  
Jaime de Pablo Valenciano
Keyword(s):  
Social Sciences ◽  
State Of The Art ◽  
Local Development ◽  
The State ◽  
Special Issue ◽  
Continuous Review ◽  
The Past ◽  
Research Fields ◽  
Wide Range ◽  
Knowledge Area

Sustainability, local development, and ecology are keywords that cover a wide range of research fields in both experimental and social sciences. The transversal nature of this knowledge area creates synergies but also divergences, making a continuous review of the existing literature necessary in order to facilitate research. There has been an increasing number of articles that have analyzed trends in the literature and the state-of-the-art in many subjects. In this Special Issue of Resources, the most prestigious researchers analyzed the past and future of Social Sciences in Resources from an economic, social, and environmental perspective.

scholarly journals Complex Data Imputation by Auto-Encoders and Convolutional Neural Networks—A Case Study on Genome Gap-Filling

Computers ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 37 ◽  
Author(s):  
Luca Cappelletti ◽  
Tommaso Fontana ◽  
Guido Walter Di Donato ◽  
Lorenzo Di Tucci ◽  
Elena Casiraghi ◽  
...  
Keyword(s):  
Deep Learning ◽  
Missing Data ◽  
State Of The Art ◽  
The State ◽  
Complex Data ◽  
Data Imputation ◽  
Genome Sequences ◽  
Missing Data Imputation ◽  
The Past ◽  
Learning Techniques

Missing data imputation has been a hot topic in the past decade, and many state-of-the-art works have been presented to propose novel, interesting solutions that have been applied in a variety of fields. In the past decade, the successful results achieved by deep learning techniques have opened the way to their application for solving difficult problems where human skill is not able to provide a reliable solution. Not surprisingly, some deep learners, mainly exploiting encoder-decoder architectures, have also been designed and applied to the task of missing data imputation. However, most of the proposed imputation techniques have not been designed to tackle “complex data”, that is high dimensional data belonging to datasets with huge cardinality and describing complex problems. Precisely, they often need critical parameters to be manually set or exploit complex architecture and/or training phases that make their computational load impracticable. In this paper, after clustering the state-of-the-art imputation techniques into three broad categories, we briefly review the most representative methods and then describe our data imputation proposals, which exploit deep learning techniques specifically designed to handle complex data. Comparative tests on genome sequences show that our deep learning imputers outperform the state-of-the-art KNN-imputation method when filling gaps in human genome sequences.

Discovering the Past for Yourself

2017 ◽  
Author(s):  
Jukka Tyrkkö
Keyword(s):  
Historical Data ◽  
State Of The Art ◽  
Language Teaching ◽  
Statistical Significance ◽  
The State ◽  
The Past ◽  
History Of ◽  
Digital Pedagogy ◽  
Basic Concepts ◽  
Corpus Tools

This chapter outlines the state of the art in corpus-based language teaching and digital pedagogy, focusing on the differences between using corpora with present-day and historical data. The basic concepts of corpus-based research such as representativeness, frequency, and statistical significance can be introduced to students who are new to corpus methods, and the application of these concepts to the history of English can deepen students’ understanding of how historical varieties of the language are researched. This chapter will also address some of the key challenges particular to teaching the history of English using corpora, such as dealing with the seemingly counterintuitive findings, non-standard features, and small datasets. Finally, following an overview of available historical corpora and corpus tools, several practical examples of corpus-driven activities will be discussed in detail, with suggestions and ideas on how a teacher might prepare and run corpus-based lessons.

Financial crime – is there any way out of the theoretical deadlock?

2017 ◽  
Vol 24 (4) ◽  
pp. 529-540
Author(s):  
Paul Eisenberg
Keyword(s):  
Design Methodology ◽  
State Of The Art ◽  
White Collar Crime ◽  
White Collar ◽  
The State ◽  
Financial Crime ◽  
Content Type ◽  
The Past ◽  
Financial Scandals ◽  
Research Questions

Purpose This paper aims to approach fundamental topics of financial crime and the law. What does constitute financial crime? Which field of law is best suited to address the threats of transgression by financial executives? What does motivate highly rewarded financiers to become white collar criminals? Design/methodology/approach To answer these research questions, contemporary theories of criminology in general and of white collar crime in particular, as well as theories on motivation, are critically discussed. Benefits and limitations of the theories in use are exemplified on the background of the London Interbank Offered Rate (LIBOR) scandal. Findings The paper criticises that the state-of-the-art theories are not able to embrace financial criminality in its entirety. A provoking pace for further research might be that of psychopathic disorders among white collar criminals. Thus, white collar crime maintains its challenging character. Originality/value This paper provides a thorough testing of multidisciplinary theories that emerged over the past decades against the recent LIBOR scandal. The research questions addressed and the methodologies applied provide a framework for the assessment of the prevailing theories against other financial scandals.

Intellectual Foundations of Current Research in Family Business: An Identification and Review of 25 Influential Articles

2009 ◽  
Vol 23 (1) ◽  
pp. 9-26 ◽  
Author(s):  
James J. Chrisman ◽  
Franz W. Kellermanns ◽  
Kam C. Chan ◽  
Kartono Liano
Keyword(s):  
Citation Analysis ◽  
Family Business ◽  
State Of The Art ◽  
Family Businesses ◽  
The State ◽  
Current Understanding ◽  
Future Research ◽  
The Past ◽  
Intellectual Foundations

This article identifies 25 articles that have been particularly influential in shaping the state of the art of research on family businesses. These works were identified based on a citation analysis of family business articles published over the past 6 years in the four journals that publish most of the research. The authors summarize those influential studies and discuss their most important contributions to scholars’ current understanding of family business. By identifying common themes among those studies, the authors are able to provide directions for future research in the field.

scholarly journals An Extended Commentary on Post-Publication Peer Review In Organizational Neuroscience

2018 ◽  
Author(s):  
Guy A Prochilo ◽  
Winnifred R Louis ◽  
Stefan Bode ◽  
Hannes Zacher ◽  
Pascal Molenberghs
Keyword(s):  
Peer Review ◽  
State Of The Art ◽  
Empirical Work ◽  
The State ◽  
Statistical Testing ◽  
The Past ◽  
Explicit Reference ◽  
Major Review ◽  
Specific Concern ◽  
Made In

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.

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