69 research outputs found
LIPIcs, Volume 261, ICALP 2023, Complete Volume
LIPIcs, Volume 261, ICALP 2023, Complete Volum
Detection, Control and Contamination of Mycotoxins
The objective of this collection is to illustrate the most recent research on the development of novel and/or rapid methods for mycotoxin determination, and to propose new strategies for monitoring and/or reducing mycotoxin contamination. Innovative sample preparation techniques or protocols and the possibility of multiclass mycotoxin detection will be very positively considered for possible inclusion in this Special Issue. Both methods based on (bio)sensors and chromatography with various detectors (including mass spectrometry) are welcome. Applications of already published methods on new matrices without any modification will not be accepted. However, extensive studies and monitoring on the spread of contamination through the food production chain could be of interest for this collection
LIPIcs, Volume 274, ESA 2023, Complete Volume
LIPIcs, Volume 274, ESA 2023, Complete Volum
LIPIcs, Volume 258, SoCG 2023, Complete Volume
LIPIcs, Volume 258, SoCG 2023, Complete Volum
A review of commercialisation mechanisms for carbon dioxide removal
The deployment of carbon dioxide removal (CDR) needs to be scaled up to achieve net zero emission pledges. In this paper we survey the policy mechanisms currently in place globally to incentivise CDR, together with an estimate of what different mechanisms are paying per tonne of CDR, and how those costs are currently distributed. Incentive structures are grouped into three structures, market-based, public procurement, and fiscal mechanisms. We find the majority of mechanisms currently in operation are underresourced and pay too little to enable a portfolio of CDR that could support achievement of net zero. The majority of mechanisms are concentrated in market-based and fiscal structures, specifically carbon markets and subsidies. While not primarily motivated by CDR, mechanisms tend to support established afforestation and soil carbon sequestration methods. Mechanisms for geological CDR remain largely underdeveloped relative to the requirements of modelled net zero scenarios. Commercialisation pathways for CDR require suitable policies and markets throughout the projects development cycle. Discussion and investment in CDR has tended to focus on technology development. Our findings suggest that an equal or greater emphasis on policy innovation may be required if future requirements for CDR are to be met. This study can further support research and policy on the identification of incentive gaps and realistic potential for CDR globally
Chronic Fatigue Syndrome/Myalgic Encephalomyelitis
This Special Issue on CFS/ME collects 18 papers with an interdisciplinary view on the current demographic and epidemiological data and immunological characteristics of CFS/ME and examines the different pathogenic hypotheses, as well as giving information about the latest knowledge on diagnostic investigations, pharmacological, integrative, physical, cognitive-behavioral and psychological curative approaches
Bioactives and Functional Ingredients in Foods
The close relationship between food intake and health promotion is not new; it dates back to Hippocratesâs famous âlet food be your medicine and medicine be your foodâ, which is still as timely as ever. In recent years, some scientific evidence has supported this statement, showing that dietary plant extracts, or bioactive compounds isolated therefrom, are able to prevent or slow down the progression of chronic and degenerative diseases, making them particularly interesting from a nutraceutical point of view. On the other hand, extensive chemical investigations of functional plant extractsâ constituents are needed to rationalize certain bioactivity, in terms of efficacy and safety
SIS 2017. Statistics and Data Science: new challenges, new generations
The 2017 SIS Conference aims to highlight the crucial role of the Statistics in Data Science. In this new domain of âmeaningâ extracted from the data, the increasing amount of produced and available data in databases, nowadays, has brought new challenges. That involves different fields of statistics, machine learning, information and computer science, optimization, pattern recognition. These afford together a considerable contribute in the analysis of âBig dataâ, open data, relational and complex data, structured and no-structured. The interest is to collect the contributes which provide from the different domains of Statistics, in the high dimensional data quality validation, sampling extraction, dimensional reduction, pattern selection, data modelling, testing hypotheses and confirming conclusions drawn from the data
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