scholarly journals A Survey of the Selenium Ecosystem

Electronics ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. 1067
Author(s):  
Boni García ◽  
Micael Gallego ◽  
Francisco Gortázar ◽  
Mario Munoz-Organero
Keyword(s):  
Open Source Software ◽  
Personal Experience ◽  
Web Browsers ◽  
Current State ◽  
Web Testing ◽  
Challenges And Opportunities ◽  
Future Challenges ◽  
Language Bindings ◽  
Descriptive Survey ◽  
Standard Framework

Selenium is often considered the de-facto standard framework for end-to-end web testing nowadays. It allows practitioners to drive web browsers (such as Chrome, Firefox, Edge, or Opera) in an automated fashion using different language bindings (such as Java, Python, or JavaScript, among others). The term ecosystem, referring to the open-source software domain, includes various components, tools, and other interrelated elements sharing the same technological background. This article presents a descriptive survey aimed to understand how the community uses Selenium and its ecosystem. This survey is structured in seven categories: Selenium foundations, test development, system under test, test infrastructure, other frameworks, community, and personal experience. In light of the current state of Selenium, we analyze future challenges and opportunities around it.

scholarly journals Challenges and Opportunities in Coastal Shoreline Prediction

2021 ◽  
Vol 8 ◽  
Author(s):  
Kristen D. Splinter ◽  
Giovanni Coco
Keyword(s):  
Large Scale ◽  
Southern Oscillation ◽  
Shoreline Change ◽  
Sandy Beaches ◽  
Water Levels ◽  
Current State ◽  
Challenges And Opportunities ◽  
Future Challenges ◽  
Shoreline Prediction

Sandy beaches comprise approximately 31% of the world's ice-free coasts. Sandy coastlines around the world are continuously adjusting in response to changing waves and water levels at both short (storm) and long (climate-driven, from El-Nino Southern Oscillation to sea level rise) timescales. Managing this critical zone requires robust, advanced tools that represent our best understanding of how to abstract and integrate coastal processes. However, this has been hindered by (1) a lack of long-term, large-scale coastal monitoring of sandy beaches and (2) a robust understanding of the key physical processes that drive shoreline change over multiple timescales. This perspectives article aims to summarize the current state of shoreline modeling at the sub-century timescale and provides an outlook on future challenges and opportunities ahead.

scholarly journals Mental Imagery in the Science and Practice of Cognitive Behaviour Therapy: Past, Present, and Future Perspectives

2021 ◽  
Vol 14 (1) ◽  
pp. 160-181 ◽  
Author(s):  
Simon E. Blackwell
Keyword(s):  
Mental Imagery ◽  
Cognitive Behaviour Therapy ◽  
Therapeutic Potential ◽  
Behaviour Therapy ◽  
Current State ◽  
Cognitive Behaviour ◽  
Challenges And Opportunities ◽  
Future Challenges ◽  
Healthy Functioning ◽  
The Many

AbstractMental imagery has a long history in the science and practice of cognitive behaviour therapy (CBT), stemming from both behavioural and cognitive traditions. The past decade or so has seen a marked increase in both scientific and clinical interest in mental imagery, from basic questions about the processes underpinning mental imagery and its roles in everyday healthy functioning, to clinical questions about how dysfunctions in mental imagery can cause distress and impairment, and how mental imagery can be used within CBT to effect therapeutic change. This article reflects on the current state of mental imagery in the science and practice of CBT, in the context of past developments and with a view to future challenges and opportunities. An ongoing interplay between the various strands of imagery research and the many clinical innovations in this area is recommended in order to realise the full therapeutic potential of mental imagery in CBT.

scholarly journals SynBiopython: an open-source software library for Synthetic Biology

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Jing Wui Yeoh ◽  
Neil Swainston ◽  
Peter Vegh ◽  
Valentin Zulkower ◽  
Pablo Carbonell ◽  
...  
Keyword(s):  
Synthetic Biology ◽  
Open Source ◽  
Open Source Software ◽  
Development Projects ◽  
Software Library ◽  
Current State ◽  
Starting Point ◽  
Common Problems ◽  
Data Tracking ◽  
Python Package

Abstract Advances in hardware automation in synthetic biology laboratories are not yet fully matched by those of their software counterparts. Such automated laboratories, now commonly called biofoundries, require software solutions that would help with many specialized tasks such as batch DNA design, sample and data tracking, and data analysis, among others. Typically, many of the challenges facing biofoundries are shared, yet there is frequent wheel-reinvention where many labs develop similar software solutions in parallel. In this article, we present the first attempt at creating a standardized, open-source Python package. A number of tools will be integrated and developed that we envisage will become the obvious starting point for software development projects within biofoundries globally. Specifically, we describe the current state of available software, present usage scenarios and case studies for common problems, and finally describe plans for future development. SynBiopython is publicly available at the following address: http://synbiopython.org.

scholarly journals Dutch Public health Foresight study 2018/20

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
H Hilderink
Keyword(s):  
Public Health ◽  
Health Care ◽  
Health Care Expenditures ◽  
Living Environment ◽  
Societal Challenges ◽  
Challenges And Opportunities ◽  
Future Challenges ◽  
National Prevention ◽  
Business As Usual ◽  
Insight Into

Abstract The four-year Public Health Foresight Study (VTV) provides insight into the most important societal challenges for public health and health care in the Netherlands. The seventh edition of the Dutch Public Health Foresight study was published in 2018, with an update in 2020. In this update a business-as-usual or Trend Scenario was developed using 2018 as a base year. In the trend scenario demographic and epidemiological projections have been used to depict the future trends regarding ageing, health, disease, health behaviors, health expenditures and health inequalities. Next, these trends are used to identify the most important future challenges and opportunities for public health. In the 2020 update, special attentions is given to climate change and the local living environment and their impacts and interaction with public health outcomes. Trends in lifestyle-related lifestyle show both positive (smoking prevalence) and negative (overweight prevalence) future developments. Dementia will be the leading cause of mortality and disease burden in 2040 by far. Health care expenditures will double by 2040, with cancers showing the most rapid growth of all disease groups. The insights of this study are directly used as input for the National Health Policy Memorandum and for the National Prevention Accord.

scholarly journals Unconventional Materials Processing Using Spark Plasma Sintering

Ceramics ◽  
2021 ◽  
Vol 4 (1) ◽  
pp. 20-40
Author(s):  
Ambreen Nisar ◽  
Cheng Zhang ◽  
Benjamin Boesl ◽  
Arvind Agarwal
Keyword(s):  
Spark Plasma Sintering ◽  
Real Life ◽  
Functional Materials ◽  
Research Field ◽  
Advanced Materials ◽  
Plasma Sintering ◽  
Challenges And Opportunities ◽  
Future Challenges ◽  
Gas Quenching ◽  
Spark Plasma

Spark plasma sintering (SPS) has gained recognition in the last 20 years for its rapid densification of hard-to-sinter conventional and advanced materials, including metals, ceramics, polymers, and composites. Herein, we describe the unconventional usages of the SPS technique developed in the field. The potential of various new modifications in the SPS technique, from pressureless to the integration of a novel gas quenching system to extrusion, has led to SPS’ evolution into a completely new manufacturing tool. The SPS technique’s modifications have broadened its usability from merely a densification tool to the fabrication of complex-shaped components, advanced functional materials, functionally gradient materials, interconnected materials, and porous filter materials for real-life applications. The broader application achieved by modification of the SPS technique can provide an alternative to conventional powder metallurgy methods as a scalable manufacturing process. The future challenges and opportunities in this emerging research field have also been identified and presented.

scholarly journals Current State and Challenges of Natural Fibre-Reinforced Polymer Composites as Feeder in FDM-Based 3D Printing

Polymers ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 2289
Author(s):  
Nishata Royan Rajendran Royan ◽  
Jie Sheng Leong ◽  
Wai Nam Chan ◽  
Jie Ren Tan ◽  
Zainon Sharmila Binti Shamsuddin
Keyword(s):  
Mechanical Properties ◽  
Natural Fibre ◽  
Critical Discussion ◽  
Fused Deposition Modelling ◽  
Preparation Methods ◽  
Fused Deposition ◽  
Current State ◽  
Future Challenges ◽  
Raster Angle ◽  
Fibre Reinforced Polymer

As one of the fastest-growing additive manufacturing (AM) technologies, fused deposition modelling (FDM) shows great potential in printing natural fibre-reinforced composites (NFRC). However, several challenges, such as low mechanical properties and difficulty in printing, need to be overcome. Therefore, the effort to improve the NFRC for use in AM has been accelerating in recent years. This review attempts to summarise the current approaches of using NFRC as a feeder for AM. The effects of fibre treatments, composite preparation methods and addition of compatibilizer agents were analysed and discussed. Additionally, current methods of producing feeders from NFRCs were reviewed and discussed. Mechanical property of printed part was also dependent on the printing parameters, and thus the effects of printing temperature, layer height, infill and raster angle were discussed, and the best parameters reported by other researchers were identified. Following that, an overview of the mechanical properties of these composites as reported by various researchers was provided. Next, the use of optimisation techniques for NFRCs was discussed and analysed. Lastly, the review provided a critical discussion on the overall topic, identified all research gaps present in the use of NFRC for AM processes, and to overcome future challenges.

scholarly journals Using chemical biology to assess and modulate mitochondria: progress and challenges

2017 ◽  
Vol 7 (2) ◽  
pp. 20160151 ◽  
Author(s):  
Angela Logan ◽  
Michael P. Murphy
Keyword(s):  
Mitochondrial Function ◽  
Chemical Biology ◽  
Biomedical Sciences ◽  
Interdisciplinary Approaches ◽  
Wide Range ◽  
Challenges And Opportunities ◽  
Future Challenges ◽  
The Many ◽  
Opening Up

Our understanding of the role of mitochondria in biomedical sciences has expanded considerably over the past decade. In addition to their well-known metabolic roles, mitochondrial are also central to signalling for various processes through the generation of signals such as ROS and metabolites that affect cellular homeostasis, as well as other processes such as cell death and inflammation. Thus, mitochondrial function and dysfunction are central to the health and fate of the cell. Consequently, there is considerable interest in better understanding and assessing the many roles of mitochondria. Furthermore, there is also a growing realization that mitochondrial are a promising drug target in a wide range of pathologies. The application of interdisciplinary approaches at the interface between chemistry and biology are opening up new opportunities to understand mitochondrial function and in assessing the role of the organelle in biology. This work and the experience thus gained are leading to the development of new classes of therapies. Here, we overview the progress that has been made to date on exploring the chemical biology of the organelle and then focus on future challenges and opportunities that face this rapidly developing field.

Effects of Deep Learning Technologies on Employment in the Field of Digital Communication Systems

2021 ◽  
Vol 12 (4) ◽  
pp. 35-42
Author(s):  
Thomas Alan Woolman ◽  
Philip Lee
Keyword(s):  
Artificial Intelligence ◽  
Deep Learning ◽  
Communication Systems ◽  
Digital Communication ◽  
The United States ◽  
Learning Technologies ◽  
Technological Unemployment ◽  
Current State ◽  
Challenges And Opportunities ◽  
Digital Communication Systems

There are significant challenges and opportunities facing the economies of the United States in the coming decades of the 21st century that are being driven by elements of technological unemployment. Deep learning systems, an advanced form of machine learning that is often referred to as artificial intelligence, is presently reshaping many aspects of traditional digital communication technology employment, primarily network system administration and network security system design and maintenance. This paper provides an overview of the current state-of-the-art developments associated with deep learning and artificial intelligence and the ongoing revolutions that this technology is having not only on the field of digital communication systems but also related technology fields. This paper will also explore issues and concerns related to past technological unemployment challenges, as well as opportunities that may be present as a result of these ongoing technological upheavals.

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