Best Available Techniques (BATs) contribute significantly to the reduction of industrial environmental burdens with respect to air pollution, wastewater, and solid wastes. In Europe, the application of BATs is prescribed by Directive 96/61/EC, which, however, leaves the selection of specific BATs to plant operators. In making their choices, installations have to consider not only the environmental benefits of BATs, but also all relevant cost components. In assessing the economic attractiveness of potential BATs and their combinations, as well as incentives and disincentives to be instituted, the cost of environmental externalities, usually not reflected in market prices, should be taken into account. In this paper, a decision-aid framework combining an assessment of environmental externalities and the utilization of multicriteria methods and, more specifically, Multiobjective Mathematical Programming, capable of addressing all these issues in a comprehensive and coherent manner, is presented. This is illustrated by its application for the region of Attica in Greece, where over 50% of the industrial basis and Athens, with its 4 million inhabitants, are located. The implementation of the framework and its associated tools to 800 installations led to the identification of the specific BATs, alone or in combination, that provide the most cost-effective reductions of four air pollutants (PM10, SO(2), NO(x), VOC) and CO(2). The results also clearly demonstrate the increased pollution reductions that would result from the adoption of BATs made economically attractive by the inclusion of externalities. Estimates of investments and net present values with and without incentives/disincentives are also provided.
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http://dx.doi.org/10.1007/s00267-006-0131-z | DOI Listing |
Trials
January 2025
Department of Electrical and Computer Engineering, Princeton University, Princeton, 08544, NJ, USA.
Background: Phase-3 clinical trials provide the highest level of evidence on drug safety and effectiveness needed for market approval by implementing large randomized controlled trials (RCTs). However, 30-40% of these trials fail mainly because such studies have inadequate sample sizes, stemming from the inability to obtain accurate initial estimates of average treatment effect parameters.
Methods: To remove this obstacle from the drug development cycle, we present a new algorithm called Trend-Adaptive Design with a Synthetic-Intervention-Based Estimator (TAD-SIE) that powers a parallel-group trial, a standard RCT design, by leveraging a state-of-the-art hypothesis testing strategy and a novel trend-adaptive design (TAD).
Interact J Med Res
January 2025
Medical Directorate, Lausanne University Hospital, Lausanne, Switzerland.
Large language models (LLMs) are artificial intelligence tools that have the prospect of profoundly changing how we practice all aspects of medicine. Considering the incredible potential of LLMs in medicine and the interest of many health care stakeholders for implementation into routine practice, it is therefore essential that clinicians be aware of the basic risks associated with the use of these models. Namely, a significant risk associated with the use of LLMs is their potential to create hallucinations.
View Article and Find Full Text PDFBiometrics
January 2025
Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London WC1E 7HT, United Kingdom.
The ICH E9 addendum on estimands in clinical trials provides a framework for precisely defining the treatment effect that is to be estimated, but says little about estimation methods. Here, we report analyses of a clinical trial in type 2 diabetes, targeting the effects of randomized treatment, handling rescue treatment and discontinuation of randomized treatment using the so-called hypothetical strategy. We show how this can be estimated using mixed models for repeated measures, multiple imputation, inverse probability of treatment weighting, G-formula, and G-estimation.
View Article and Find Full Text PDFEcol Appl
January 2025
Smithsonian National Zoo and Conservation Biology Institute, Conservation Ecology Center, Front Royal, Virginia, USA.
Fencing is one of the most widely utilized tools for reducing human-wildlife conflict in agricultural landscapes. However, the increasing global footprint of fencing exceeds millions of kilometers and has unintended consequences for wildlife, including habitat fragmentation, movement restriction, entanglement, and mortality. Here, we present a novel and quantitative approach to prioritize fence removal within historic migratory pathways of white-bearded wildebeest (Connochaetes taurinus) across Kenya's Greater Masai Mara Ecosystem.
View Article and Find Full Text PDFFront Pediatr
January 2025
Department of Anesthesiology, University of Wisconsin Foundation, Madison, WI, United States.
Global health prioritizes improving health and achieving equity in health for all people worldwide. It encompasses a wide range of efforts, including disease prevention and treatment, health promotion, healthcare delivery, and addressing health disparities across borders. Short-term medical and surgical missions often contribute to the global health landscape, especially in low and lower-middle income countries.
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