76 State of the art of the pesticide European revision: Council directive 91/414/EEC — The point of view of industry

2003 ◽  
Vol 144 ◽  
pp. s23-s24
Author(s):  
Bruce Julin
2021 ◽  
Vol 13 (5) ◽  
pp. 2472
Author(s):  
Teodora Stillitano ◽  
Emanuele Spada ◽  
Nathalie Iofrida ◽  
Giacomo Falcone ◽  
Anna Irene De Luca

This study aims at providing a systematic and critical review on the state of the art of life cycle applications from the circular economy point of view. In particular, the main objective is to understand how researchers adopt life cycle approaches for the measurement of the empirical circular pathways of agri-food systems along with the overall lifespan. To perform the literature review, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol was considered to conduct a review by qualitative synthesis. Specifically, an evaluation matrix has been set up to gather and synthesize research evidence, by classifying papers according to several integrated criteria. The literature search was carried out employing scientific databases. The findings highlight that 52 case studies out of 84 (62% of the total) use stand-alone life cycle assessment (LCA) to evaluate the benefits/impacts of circular economy (CE) strategies. In contrast, only eight studies (9.5%) deal with the life cycle costing (LCC) approach combined with other analyses while no paper deals with the social life cycle assessment (S-LCA) methodology. Global warming potential, eutrophication (for marine, freshwater, and terrestrial ecosystems), human toxicity, and ecotoxicity results are the most common LCA indicators applied. Only a few articles deal with the CE assessment through specific indicators. We argue that experts in life cycle methodologies must strive to adopt some key elements to ensure that the results obtained fit perfectly with the measurements of circularity and that these can even be largely based on a common basis.


2001 ◽  
Vol 54 (1) ◽  
pp. 69-92 ◽  
Author(s):  
Igor V. Andrianov ◽  
Jan Awrejcewicz

In this review article, we present in some detail new trends in application of asymptotic techniques to mechanical problems. First we consider the various methods which allows for the possibility of extending the perturbation series application space and hence omiting their local character. While applying the asymptotic methods very often the following situation appears: an existence of the asymptotics ε → 0 implies an existence of the asymptotics ε → ∞ (or, in a more general sense, ε → a and ε → b). Therefore, an idea of constructing a single solution valid for a whole interval of parameter ε changes is very attractive. In other words, we discuss a problem of asymptotically equivalent function constructions possessing for ε → a and ε → b a known asymptotic behavior. The defined problems are very important from the point of view of both theoretical and applied sciences. In this work, we review the state-of-the-art, by presenting the existing methods and by pointing out their advantages and disadvantages, as well as the fields of their applications. In addition, some new methods are also proposed. The methods are demonstrated on a wide variety of static and dynamic solid mechanics problems and some others involving fluid mechanics. This review article contains 340 references.


1921 ◽  
Vol 25 (123) ◽  
pp. 130-165

In the following paper the writer's aim is to indicate certain possible lines of development and research which his own investigations and preliminary experiments have shown to be at least worthy of serious consideration.If we review the present state of the art we find the position to be substantially as follows :—From a thermodynamic point of view the performance of the modern aero engine has approached so nearly to the ideal obtainable from the cycle on which it operates that there is little scope for improvement.


Detritus ◽  
2020 ◽  
pp. 62-66
Author(s):  
Xiaozheng Chen ◽  
Nils Kroell ◽  
Alexander Feil ◽  
Thomas Pretz

In food and medical packaging, multiple layers of different polymers are combined in order to achieve optimal functional properties for various applications. Flexible multilayer plastic packaging achieves a reduction in weight compared to other packaging products with the same function, saving material and in transportation costs. Recycling of post-industrial multilayer packaging was achieved by some companies, but the available technologies are limited to specific polymer types. For post-consumer waste, recycling of multilayer packaging has not been achieved yet. One of the main challenges in plastic sorting is that the detection and separation of multilayer packaging from other materials is not possible yet. In this study, the possibility to detect and sort flexible multilayer plastic packaging was investigated with near-infrared spectroscopy, which is the state-of-the-art technology for plastic sorting. The results show that from a detection and classification point of view, sorting of monolayer, two- and three-layers samples under laboratory conditions is possible. According to the captured data, the sequence of layers has little influence on the spectra. In case of glossy samples, the spectra are influenced by printed surfaces. With an increase in thickness, the spectra get more characteristic, which makes the classification easier. Our results indicate that the sorting of post-consumer multilayer plastic packaging by main composition is theoretically achievable.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ciro Troise ◽  
Diego Matricano ◽  
Elena Candelo ◽  
Mario Sorrentino

Purpose Starting from the state-of-the-art of Fintech development, this study aims to propose some research propositions comparing reward-crowdfunding (RCF) and equity-crowdfunding (ECF). In this sense, the present research provides a comprehensive analysis of fintech development and – to conceptualize the comparison between RCF and ECF – it focuses on campaigns’ characteristics, aims and post-campaigns scenarios. Design/methodology/approach All the research propositions related to the comparison between RCF and ECF are rooted in dedicated literature. The methodological approach adopted in the present paper can be referred to theorizing. Findings This study suggests that five key elements characterize the development of fintech: regulation, infrastructure, technologies, finance and innovations. The research provides nine propositions: four related to the campaigns’ characteristics; two related to the use of crowdfunding models by entrepreneurs; and three related to the performance of crowdfunded companies. Practical implications By offering nine research propositions, this study is expected to foster and support the investigation of fintech development from an entrepreneurial and managerial point of view. Originality/value To the best of authors’ knowledge, this study is among the first to explore the fintech development and to propose a comparative approach between RCF and ECF. This research contributes to the current debate on fintech development as well as on the comparison between crowdfunding models.


2021 ◽  
Vol 10 (2-3) ◽  
pp. 241-262
Author(s):  
Jan Felix Hoffmann

Abstract Classical property law is not only losing economic relevance with the progressing dephysicalization of economic processes but is also increasingly perceived as a static field of private law, pursued by specialized lawyers working with rather inaccessible national concepts and dogmas that seem to have no significant relevance for the development of a digital economy. The mostly codification-driven comparative research on property law continues in the tradition of national property law codifications primarily addressing tangible objects. The research on property law should not restrict itself to this rather pragmatic approach, because in the end this arbitrarily delimits the concept of property law and reinforces the impression of classical property law only dealing with tangibles. Comparative property law should look beyond issues of codification and address the question of what is the essence of property law. Property law deals with the erga omnes effects of rights. It therefore not only addresses full-fledged property rights over movables or immovables but also covers partially absolute rights over these assets on the threshold to contract law. Property law also addresses absolute rights with regard to intangibles. This awareness should on one hand demand from any discussion on creating new (partially) absolute property rights to take notice of the state of the art of current (comparative) property law. It should on the other hand incite classical property lawyers to take part in these debates and to question the traditional concepts and principles in light of the new developments. Classical institutions of property law should be reconsidered from this point of view.


2020 ◽  
pp. 1199-1212
Author(s):  
Syeda Erfana Zohora ◽  
A. M. Khan ◽  
Arvind K. Srivastava ◽  
Nhu Gia Nguyen ◽  
Nilanjan Dey

In the last few decades there has been a tremendous amount of research on synthetic emotional intelligence related to affective computing that has significantly advanced from the technological point of view that refers to academic studies, systematic learning and developing knowledge and affective technology to a extensive area of real life time systems coupled with their applications. The objective of this paper is to present a general idea on the area of emotional intelligence in affective computing. The overview of the state of the art in emotional intelligence comprises of basic definitions and terminology, a study of current technological scenario. The paper also proposes research activities with a detailed study of ethical issues, challenges with importance on affective computing. Lastly, we present a broad area of applications such as interactive learning emotional systems, modeling emotional agents with an intention of employing these agents in human computer interactions as well as in education.


Author(s):  
Sha Xin Wei

Since 1984, Graphical User Interfaces have typically relied on visual icons that mimic physical objects like the folder, button, and trash can, or canonical geometric elements like menus, and spreadsheet cells. GUI’s leverage our intuition about the physical environment. But the world can be thought of as being made of stuff as well as things. Making interfaces from this point of view requires a way to simulate the physics of stuff in realtime response to continuous gesture, driven by behavior logic that can be understood by the user and the designer. The author argues for leveraging the corporeal intuition that people learn from birth about heat flow, water, smoke, to develop interfaces at the density of matter that leverage in turn the state of the art in computational physics.


2020 ◽  
Vol 5 (5) ◽  
pp. 43 ◽  
Author(s):  
Tanita Fossli Brustad ◽  
Rune Dalmo

Transition curves are a useful tool for lateral alignment of railway segments. Their design is important to ensure safe and comfortable travel for passengers and cargo. Well designed transition curves can lead to reduced wear of tracks and vehicles, which is beneficial from a maintenance point of view. Extensive studies have been performed through decades to find transition curves that can replace existing railway segments for the purpose of enhancing certain properties. Those studies seek to form curves that satisfy desired evaluation criteria, which are often connected to geometric continuity between the curve segments, and vehicle dynamics, to secure a smooth ride. This research topic is still ongoing and active at present. Recent results and findings are in line with the developments on the topic of vehicle dynamics and within the railway industry. For this reason it is appropriate to collect and discuss the latest work, since there are no up-to-date detailed literature reviews available. This paper explores the present state-of-the-art of railway transition curves, and identifies some of the research challenges and future research opportunities in the field.


2020 ◽  
Vol 6 (10) ◽  
pp. 110
Author(s):  
Francesco Lombardi ◽  
Simone Marinai

Nowadays, deep learning methods are employed in a broad range of research fields. The analysis and recognition of historical documents, as we survey in this work, is not an exception. Our study analyzes the papers published in the last few years on this topic from different perspectives: we first provide a pragmatic definition of historical documents from the point of view of the research in the area, then we look at the various sub-tasks addressed in this research. Guided by these tasks, we go through the different input-output relations that are expected from the used deep learning approaches and therefore we accordingly describe the most used models. We also discuss research datasets published in the field and their applications. This analysis shows that the latest research is a leap forward since it is not the simple use of recently proposed algorithms to previous problems, but novel tasks and novel applications of state of the art methods are now considered. Rather than just providing a conclusive picture of the current research in the topic we lastly suggest some potential future trends that can represent a stimulus for innovative research directions.


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