Rigorous proof of fuzzy error propagation with matrix-based LCI

Background, aim, and scope  

Propagation of parametric uncertainty in life cycle inventory (LCI) models is usually performed based on probabilistic Monte Carlo techniques. However, alternative approaches using interval or fuzzy numbers have been proposed based on the argument that these provide a better reflection of epistemological uncertainties inherent in some process data. Recent progress has been made to integrate fuzzy arithmetic into matrix-based LCI using decomposition into α-cut intervals. However, the proposed technique implicitly assumes that the lower bounds of the technology matrix elements give the highest inventory results, and vice versa, without providing rigorous proof.     

Correction to: Abiotic resource depletion potentials (ADPs) for elements revisited—updating ultimate reserve estimates and introducing time series for production data

The International Journal of Life Cycle Assessment - The original version of this article unfortunately contained a mistake which was missed during typesetting. The caption to Fig. 5 was...     

Sensitivity to weighting in life cycle impact assessment (LCIA)

The International Journal of Life Cycle Assessment - Weighting in life cycle assessment (LCA) incorporates stakeholder preferences in the decision-making process of comparative LCAs. Research...     

Toward an Information Tool for Integrated Product Policy: Requirements for Data and Computation

Integrated product policy, according to the European Union, requires reliable data on the impact of consumer products along their life cycles. We argue that this necessarily requires the development of an information tool for hybrid analysis, combining aspects of life-cycle assessment and input-output analysis. A number of requirements in the development of such a hybrid information tool are identified, mainly concerning data and computational structure. For the former, some important points of attention are discussed, whereas for the latter, operational formulas are developed.     

Dis3‐like 1: a novel exoribonuclease associated with the human exosome

The exosome is an exoribonuclease complex involved in the degradation and maturation of a wide variety of RNAs. The nine‐subunit core of the eukaryotic exosome is catalytically inactive and may have an architectural function and mediate substrate binding. In Saccharomyces cerevisiae, the associated Dis3 and Rrp6 provide the exoribonucleolytic activity. The human exosome‐associated Rrp6 counterpart contributes to its activity, whereas the human Dis3 protein is not detectably associated with the exosome. Here, a proteomic analysis of immunoaffinity‐purified human exosome complexes identified a novel exosome‐associated exoribonuclease, human Dis3‐like exonuclease 1 (hDis3L1), which was confirmed to associate with the exosome core by co‐immunoprecipitation. In contrast to the nuclear localization of Dis3, hDis3L1 exclusively localized to the cytoplasm. The hDis3L1 isolated from transfected cells degraded RNA in an exoribonucleolytic manner, and its RNB domain seemed to mediate this activity. The siRNA‐mediated knockdown of hDis3L1 in HeLa cells resulted in elevated levels of poly(A)‐tailed 28S rRNA degradation intermediates, indicating the involvement of hDis3L1 in cytoplasmic RNA decay. Taken together, these data indicate that hDis3L1 is a novel exosome‐associated exoribonuclease in the cytoplasm of human cells.     

Sensitivity coefficients for matrix-based LCA

Background, aim, and scope  

Matrix-based life cycle assessment (LCA) is part of the standard ingredients of modern LCA tools. An important aspect of matrix-based LCA that is straightforward to carry out, but that requires a careful mathematical handling, is the inclusion of sensitivity coefficients based on differentiating the matrix-based formulas.     

Mapping of citrullinated fibrinogen B-cell epitopes in rheumatoid arthritis by imaging surface plasmon resonance

Introduction  

Rheumatoid arthritis (RA) frequently involves the loss of tolerance to citrullinated antigens, which may play a role in pathogenicity. Citrullinated fibrinogen is commonly found in inflamed synovial tissue and is a frequent target of autoantibodies in RA patients. To obtain insight into the B-cell response to citrullinated fibrinogen in RA, its autoepitopes were systematically mapped using a new methodology.