scholarly journals Modern Scientific Visualizations on the Web

Informatics ◽  
2020 ◽  
Vol 7 (4) ◽  
pp. 37
Author(s):  
Loraine Franke ◽  
Daniel Haehn
Keyword(s):  
Scientific Visualization ◽  
State Of The Art ◽  
Three Dimensional ◽  
Emerging Technology ◽  
Research Field ◽  
Future Directions ◽  
Web Based ◽  
Current State ◽  
Visualization Systems ◽  
The Web

Modern scientific visualization is web-based and uses emerging technology such as WebGL (Web Graphics Library) and WebGPU for three-dimensional computer graphics and WebXR for augmented and virtual reality devices. These technologies, paired with the accessibility of websites, potentially offer a user experience beyond traditional standalone visualization systems. We review the state-of-the-art of web-based scientific visualization and present an overview of existing methods categorized by application domain. As part of this analysis, we introduce the Scientific Visualization Future Readiness Score (SciVis FRS) to rank visualizations for a technology-driven disruptive tomorrow. We then summarize challenges, current state of the publication trend, future directions, and opportunities for this exciting research field.

scholarly journals WebAL Comes of Age: A Review of the First 21 Years of Artificial Life on the Web

2016 ◽  
Vol 22 (3) ◽  
pp. 364-407 ◽  
Author(s):  
Tim Taylor ◽  
Joshua E. Auerbach ◽  
Josh Bongard ◽  
Jeff Clune ◽  
Simon Hickinbotham ◽  
...  
Keyword(s):  
Recent Work ◽  
Artificial Life ◽  
State Of The Art ◽  
Web Based ◽  
Web Technologies ◽  
Current State ◽  
The Many ◽  
Exciting Area ◽  
Future Work ◽  
The Web

We present a survey of the first 21 years of web-based artificial life (WebAL) research and applications, broadly construed to include the many different ways in which artificial life and web technologies might intersect. Our survey covers the period from 1994—when the first WebAL work appeared—up to the present day, together with a brief discussion of relevant precursors. We examine recent projects, from 2010–2015, in greater detail in order to highlight the current state of the art. We follow the survey with a discussion of common themes and methodologies that can be observed in recent work and identify a number of likely directions for future work in this exciting area.

Bioprinting Technology: A Current State-of-the-Art Review

2014 ◽  
Vol 136 (6) ◽  
Author(s):  
Amer B. Dababneh ◽  
Ibrahim T. Ozbolat
Keyword(s):  
Review Paper ◽  
State Of The Art ◽  
Emerging Technology ◽  
Point Of View ◽  
Preclinical Studies ◽  
Future Directions ◽  
Scaffold Fabrication ◽  
Current State ◽  
Artificial Tissue ◽  
A Current

Bioprinting is an emerging technology for constructing and fabricating artificial tissue and organ constructs. This technology surpasses the traditional scaffold fabrication approach in tissue engineering (TE). Currently, there is a plethora of research being done on bioprinting technology and its potential as a future source for implants and full organ transplantation. This review paper overviews the current state of the art in bioprinting technology, describing the broad range of bioprinters and bioink used in preclinical studies. Distinctions between laser-, extrusion-, and inkjet-based bioprinting technologies along with appropriate and recommended bioinks are discussed. In addition, the current state of the art in bioprinter technology is reviewed with a focus on the commercial point of view. Current challenges and limitations are highlighted, and future directions for next-generation bioprinting technology are also presented.

scholarly journals Self-Sensing Alkali-Activated Materials: A Review

Minerals ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 885
Author(s):  
Christos Vlachakis ◽  
Marcus Perry ◽  
Lorena Biondi
Keyword(s):  
Portland Cement ◽  
Best Practice ◽  
Ordinary Portland Cement ◽  
State Of The Art ◽  
Emerging Technology ◽  
Electrically Conductive ◽  
Future Directions ◽  
Current State ◽  
Sensor Fabrication ◽  
Alkali Activated

Alkali-activated materials are an emerging technology that can serve as an alternative solution to ordinary Portland cement. Due to their alkaline nature, these materials are inherently more electrically conductive than ordinary Portland cement, and have therefore seen numerous applications as sensors and self-sensing materials. This review outlines the current state-of-the-art in strain, temperature and moisture sensors that have been developed using alkali activated materials. Sensor fabrication methods, electrical conductivity mechanisms, and comparisons with self-sensing ordinary Portland cements are all outlined to highlight best practice and propose future directions for research.

A Survey on Document-level Neural Machine Translation

2021 ◽  
Vol 54 (2) ◽  
pp. 1-36
Author(s):  
Sameen Maruf ◽  
Fahimeh Saleh ◽  
Gholamreza Haffari
Keyword(s):  
Machine Translation ◽  
Language Processing ◽  
Research Field ◽  
Translation Process ◽  
Future Directions ◽  
Translation Quality ◽  
Current State ◽  
Evaluation Strategies ◽  
Almost All ◽  
Document Level

Machine translation (MT) is an important task in natural language processing (NLP), as it automates the translation process and reduces the reliance on human translators. With the resurgence of neural networks, the translation quality surpasses that of the translations obtained using statistical techniques for most language-pairs. Up until a few years ago, almost all of the neural translation models translated sentences independently , without incorporating the wider document-context and inter-dependencies among the sentences. The aim of this survey article is to highlight the major works that have been undertaken in the space of document-level machine translation after the neural revolution, so researchers can recognize the current state and future directions of this field. We provide an organization of the literature based on novelties in modelling and architectures as well as training and decoding strategies. In addition, we cover evaluation strategies that have been introduced to account for the improvements in document MT, including automatic metrics and discourse-targeted test sets. We conclude by presenting possible avenues for future exploration in this research field.

scholarly journals Immunoconjugates and long circulating systems: Origins, current state of the art and future directions

2013 ◽  
Vol 65 (1) ◽  
pp. 24-35 ◽  
Author(s):  
Alexander Koshkaryev ◽  
Rupa Sawant ◽  
Madhura Deshpande ◽  
Vladimir Torchilin
Keyword(s):  
State Of The Art ◽  
Future Directions ◽  
Current State

3D Structural Bioinformatics of Proteins and Antibodies: State of the Art Perspectives and Challenges

2013 ◽  
Vol 2 (3) ◽  
pp. 67-74
Author(s):  
Arianna Filntisi ◽  
Dimitrios Vlachakis ◽  
George Matsopoulos ◽  
Sophia Kossida
Keyword(s):  
Quantum Mechanics ◽  
Quantum Chemical ◽  
State Of The Art ◽  
Three Dimensional ◽  
Research Field ◽  
Important Class ◽  
Structural Components ◽  
Molecular Systems ◽  
Mechanical Methods ◽  
Harmful Substances

Proteins are an important class of biochemical molecules, as the structural components of animal and human tissue are based on them. Antibodies are proteins that play a crucial role in the preservation of life since they are produced by the body's immune system as a response to harmful substances. The modelling of proteins and antibodies in particular is a vibrant research field which facilitates the design of drugs, a process otherwise demanding in terms of time and resources. A variety of computational methods and tools are being developed towards that goal, among which are hybrid quantum chemical/molecular mechanical methods and three-dimensional antibody modelling. In this review the authors discuss the knowledge concerning proteins and antibodies, as well as the use of quantum mechanics in the simulation of molecular systems and the three-dimensional antibody modelling.

Web Data Quality

2014 ◽  
Vol 10 (2) ◽  
pp. 1-6 ◽  
Author(s):  
Amrapali Zaveri ◽  
Andrea Maurino ◽  
Laure-Berti Equille
Keyword(s):  
Semantic Web ◽  
Data Quality ◽  
Linked Data ◽  
Web Data ◽  
Semantic Web Technologies ◽  
Future Directions ◽  
Web Technologies ◽  
Current State ◽  
Web Of Data ◽  
The Web

The standardization and adoption of Semantic Web technologies has resulted in an unprecedented volume of data being published as Linked Data (LD). However, the “publish first, refine later” philosophy leads to various quality problems arising in the underlying data such as incompleteness, inconsistency and semantic ambiguities. In this article, we describe the current state of Data Quality in the Web of Data along with details of the three papers accepted for the International Journal on Semantic Web and Information Systems' (IJSWIS) Special Issue on Web Data Quality. Additionally, we identify new challenges that are specific to the Web of Data and provide insights into the current progress and future directions for each of those challenges.

scholarly journals Striving for State of the Art with Paradigm Interplay and Meta-Synthesis: Purpose-oriented Network Research Challenges and Good Research Practices as a Way Forward

2019 ◽  
Vol 2 (3) ◽  
pp. 175-186 ◽  
Author(s):  
Robin H Lemaire ◽  
Remco S Mannak ◽  
Sonia M Ospina ◽  
Martijn Groenleer
Keyword(s):  
Public Sector ◽  
State Of The Art ◽  
Research Field ◽  
Research Practices ◽  
The Public ◽  
Research Perspectives ◽  
Current State ◽  
Research Challenges ◽  
Network Research ◽  
Good Research

Abstract With the growing amount and increasing heterogeneity of research on purpose-oriented networks (PONs) in the public sector, it is imperative to find a way to synthesize this research. Drawing on the varied research perspectives on PONs, we advance the idea of paradigm interplay and meta-synthesis as aspirations for the field and argue this is especially key if we want the study of PONs to inform practice. However, we recognize several challenges in the current state of the PON research that prevent the field from making strides in paradigm interplay and meta-synthesis. We discuss six challenges which we consider the most critical: different labels, differences across research foci, variation in measurement, the nestedness of networks, the dynamism of networks, and variation in the network context. We suggest six good research practices that could contribute to overcoming the challenges now so as to make integration of the research field more of a possibility in the future.

scholarly journals Machine Learning Interpretability: A Survey on Methods and Metrics

Electronics ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 832 ◽  
Author(s):  
Diogo V. Carvalho ◽  
Eduardo M. Pereira ◽  
Jaime S. Cardoso
Keyword(s):  
Machine Learning ◽  
Social Impact ◽  
Research Field ◽  
Learning Systems ◽  
Future Directions ◽  
The Past ◽  
Current State ◽  
Black Boxes ◽  
Interpretable Models

Machine learning systems are becoming increasingly ubiquitous. These systems’s adoption has been expanding, accelerating the shift towards a more algorithmic society, meaning that algorithmically informed decisions have greater potential for significant social impact. However, most of these accurate decision support systems remain complex black boxes, meaning their internal logic and inner workings are hidden to the user and even experts cannot fully understand the rationale behind their predictions. Moreover, new regulations and highly regulated domains have made the audit and verifiability of decisions mandatory, increasing the demand for the ability to question, understand, and trust machine learning systems, for which interpretability is indispensable. The research community has recognized this interpretability problem and focused on developing both interpretable models and explanation methods over the past few years. However, the emergence of these methods shows there is no consensus on how to assess the explanation quality. Which are the most suitable metrics to assess the quality of an explanation? The aim of this article is to provide a review of the current state of the research field on machine learning interpretability while focusing on the societal impact and on the developed methods and metrics. Furthermore, a complete literature review is presented in order to identify future directions of work on this field.

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