scholarly journals Energy Efficiency in European Ports: State-Of-Practice and Insights on the Way Forward

2019 ◽  
Vol 11 (18) ◽  
pp. 4952 ◽  
Author(s):  
Eleftherios Sdoukopoulos ◽  
Maria Boile ◽  
Alkiviadis Tromaras ◽  
Nikolaos Anastasiadis

The changing energy landscape in Europe, marked with the development of the Energy Union in 2015, had a profound impact also on the European port sector. With European ports becoming key points of energy production, but also being prominent energy users, energy consumption has naturally risen into a top environmental priority for port authorities. To this end, the paper provides a pragmatic and comprehensive overview of the main policies, technologies and practices that European ports have adopted to-date for enhancing their energy efficiency. Addressing a gap that has been identified in relevant recent literature, it gathers actual data and port experiences from many different sources in a first attempt to better facilitate knowledge and experience-sharing activities, that will support ports in collectively moving towards a zero-emission and climate-neutral future. Most importantly, it presents an effort to rationalize research findings, assist in aligning them with practice, shed more light on the exploitation path of this line of research and better inform future research efforts.

2021 ◽  
Author(s):  
Ana Pellicer-Sánchez ◽  
Anna Siyanova

Abstract The field of vocabulary research is witnessing a growing interest in the use of eye-tracking to investigate topics that have traditionally been examined using offline measures, providing new insights into the processing and learning of vocabulary. During an eye-tracking experiment, participants’ eye movements are recorded while they attend to written or auditory input, resulting in a rich record of online processing behaviour. Because of its many benefits, eye-tracking is becoming a major research technique in vocabulary research. However, before this emerging trend of eye-tracking based vocabulary research continues to proliferate, it is important to step back and reflect on what current studies have shown about the processing and learning of vocabulary, and the ways in which we can use the technique in future research. To this aim, the present paper provides a comprehensive overview of current eye-tracking research findings, both in terms of the processing and learning of single words and formulaic sequences. Current research gaps and potential avenues for future research are also discussed.


Author(s):  
Mariyeh Moradnazhad ◽  
Hakki Ozgur Unver

Manufacturing processes are among the most energy intensive on earth. As negative ecological and economic impacts increase, reducing energy consumption is becoming critically important. In this article, a comprehensive overview of energy-saving strategies and opportunities for increasing energy efficiency in manufacturing operations is presented, with a focus on metal cutting processes. The issues and approaches involved in energy efficiency of machine tools and machining operations are reported in the literature and a structured research methodology is proposed for this purpose including prediction and modelling of machine energy consumption, determining the relationship between process energy consumption and process variables for material removal processes and optimization of cutting parameters in order to reduce energy consumption. Numerous techniques for increasing energy efficiency in manufacturing processes are identified and summarized, strengths and weaknesses of previous studies are discussed and potential avenues for future research are suggested.


Author(s):  
Ann Rumsey ◽  
Muhammad Jahan

This article provides a comprehensive overview of the machining of aluminum alloys, composites, and ceramics at micro scale. All major aspects of the micromachining of aluminum alloys including process descriptions, key research findings, applications, major challenges, and guidelines for future research have been covered in this article. Based on the literature, conventional micromachining processes, such as turning, milling, grinding, and drilling, have been found to be suitable for machining most of the cast and wrought aluminum alloys. On the other hand, nonconventional micromachining processes were approached for the micromachining of aluminum metal matrix composites and alumina ceramics. Some challenges and aspects in the area of micromachining of aluminum alloys that need future considerations are burr formation, tool wear, surface finish, microstructures and properties changes, and process development for advanced and hybrid micromachining.


2021 ◽  
Author(s):  
Ana Pellicer-Sánchez ◽  
Anna Siyanova

Abstract The field of vocabulary research is witnessing a growing interest in the use of eye-tracking to investigate topics that have traditionally been examined using offline measures, providing new insights into the processing and learning of vocabulary. During an eye-tracking experiment, participants’ eye movements are recorded while they attend to written or auditory input, resulting in a rich record of online processing behaviour. Because of its many benefits, eye-tracking is becoming a major research technique in vocabulary research. However, before this emerging trend of eye-tracking based vocabulary research continues to proliferate, it is important to step back and reflect on what current studies have shown about the processing and learning of vocabulary, and the ways in which we can use the technique in future research. To this aim, the present paper provides a comprehensive overview of current eye-tracking research findings, both in terms of the processing and learning of single words and formulaic sequences. Current research gaps and potential avenues for future research are also discussed.


2018 ◽  
Vol 7 (3) ◽  
pp. 671-686
Author(s):  
Amir Bhochhibhoya ◽  
Yue Dong ◽  
Paul Branscum

International students are challenged due to the abrupt change in social support. The purpose of this study was to operationalize different sources of social support and evaluate determinants of mental health among international students (n=328). An instrument was developed to measure four distinct sources of social support. Repeated measures ANOVA were used to evaluate statistical differences. Results found significant mean differences between each type of social support with social support from: family/friends currently living in their home country highest and friends/families living and born in the U.S. lowest. These findings provide evidence on the applicability of this new instrument. The depth in which social support is defined in this study can reflect the greater context in future research findings.


Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2753 ◽  
Author(s):  
Robin Chataut ◽  
Robert Akl

The global bandwidth shortage in the wireless communication sector has motivated the study and exploration of wireless access technology known as massive Multiple-Input Multiple-Output (MIMO). Massive MIMO is one of the key enabling technology for next-generation networks, which groups together antennas at both transmitter and the receiver to provide high spectral and energy efficiency using relatively simple processing. Obtaining a better understating of the massive MIMO system to overcome the fundamental issues of this technology is vital for the successful deployment of 5G—and beyond—networks to realize various applications of the intelligent sensing system. In this paper, we present a comprehensive overview of the key enabling technologies required for 5G and 6G networks, highlighting the massive MIMO systems. We discuss all the fundamental challenges related to pilot contamination, channel estimation, precoding, user scheduling, energy efficiency, and signal detection in a massive MIMO system and discuss some state-of-the-art mitigation techniques. We outline recent trends such as terahertz communication, ultra massive MIMO (UM-MIMO), visible light communication (VLC), machine learning, and deep learning for massive MIMO systems. Additionally, we discuss crucial open research issues that direct future research in massive MIMO systems for 5G and beyond networks.


2018 ◽  
Vol 169 (1) ◽  
pp. 5-29 ◽  
Author(s):  
Ana Pellicer-Sánchez ◽  
Anna Siyanova-Chanturia

Abstract The field of vocabulary research is witnessing a growing interest in the use of eye-tracking to investigate topics that have traditionally been examined using offline measures, providing new insights into the processing and learning of vocabulary. During an eye-tracking experiment, participants’ eye movements are recorded while they attend to written or auditory input, resulting in a rich record of online processing behaviour. Because of its many benefits, eye-tracking is becoming a major research technique in vocabulary research. However, before this emerging trend of eye-tracking based vocabulary research continues to proliferate, it is important to step back and reflect on what current studies have shown about the processing and learning of vocabulary, and the ways in which we can use the technique in future research. To this aim, the present paper provides a comprehensive overview of current eye-tracking research findings, both in terms of the processing and learning of single words and formulaic sequences. Current research gaps and potential avenues for future research are also discussed.


2010 ◽  
Vol 27 (1-2) ◽  
pp. 81-90
Author(s):  
Krishna Poudel

Mountains have distinct geography and are dynamic in nature compared to the plains. 'Verticality' and 'variation' are two fundamental specificities of the mountain geography. They possess distinct temporal and spatial characteristics in a unique socio-cultural setting. There is an ever increasing need for spatial and temporal data for planning and management activities; and Geo Information (GI) Science (including Geographic Information and Earth Observation Systems). This is being recognized more and more as a common platform for integrating spatial data with social, economic and environmental data and information from different sources. This paper investigates the applicability and challenges of GISscience in the context of mountain geography with ample evidences and observations from the mountain specific publications, empirical research findings and reports. The contextual explanation of mountain geography, mountain specific problems, scientific concerns about the mountain geography, advances in GIScience, the role of GIScience for sustainable development, challenges on application of GIScience in the contexts of mountains are the points of discussion. Finally, conclusion has been made with some specific action oriented recommendations.


Author(s):  
Yu.V. Kupriyanova ◽  
I.M. Vasilyanova

The article summarizes the key points in the development of the metadialogue phenomenon from a linguistic point of view. Some stages of the development of this concept and the difficulties associated with its structuring are covered. The main research findings of modern foreign and domestic experts on its study are considered. Some characteristics of the subject of the research from the standpoint of various pragmatic installations are given. On the basis of the dynamic structure of the metadialogue development, certain principles of semantic relations connected with the dialectical nature of human cognition are presented. Excursion into the history and evolution of the concept is presented. Several types of formulation of the subject matter are given. In accordance with the goal of speech exposure, internal problems of the development of metadialogue are highlighted and the critical points related to solving these problems are described. The rules of metadialogue flow are explained at the level of steps, the success/failure of which directly affects the final result of communication. The prospects of development of the concept research in accordance with various types of discourse are indicated.


2020 ◽  
Vol 26 (26) ◽  
pp. 3096-3104 ◽  
Author(s):  
Shuai Deng ◽  
Yige Sun ◽  
Tianyi Zhao ◽  
Yang Hu ◽  
Tianyi Zang

Drug side effects have become an important indicator for evaluating the safety of drugs. There are two main factors in the frequent occurrence of drug safety problems; on the one hand, the clinical understanding of drug side effects is insufficient, leading to frequent adverse drug reactions, while on the other hand, due to the long-term period and complexity of clinical trials, side effects of approved drugs on the market cannot be reported in a timely manner. Therefore, many researchers have focused on developing methods to identify drug side effects. In this review, we summarize the methods of identifying drug side effects and common databases in this field. We classified methods of identifying side effects into four categories: biological experimental, machine learning, text mining and network methods. We point out the key points of each kind of method. In addition, we also explain the advantages and disadvantages of each method. Finally, we propose future research directions.


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