2 1 The innovative transport systems and the CityMobil project 10 1.1 The research questions 10 2 The state of art in the field of automatic transport systems 12 2.1 Case studies and demand studies for innovative transport systems 12 3 The design and implementation of surveys 14 3.1 Definition of experimental design 14 3.2 Questionnaire design and delivery 16 3.3 First analyses on the collected sample 18 4 Calibration of Logit Multionomial demand models 21 4.1 Methodology 21 4.2 Calibration of the “full” model. 22 4.3 Calibration of the “final” model 24 4.4 The demand analysis through the final Multinomial Logit model 25 5 The analysis of interaction between the demand and socioeconomic attributes 31 5.1 Methodology 31 5.2 Application of Mixed Logit models to the demand 31 5.3 Analysis of the interactions between demand and socioeconomic attributes through Mixed Logit models 32 5.4 Mixed Logit model and interaction between age and the demand for the CTS 38 5.5 Demand analysis with Mixed Logit model 39 6 Final analyses and conclusions 45 6.1 Comparison between the results of the analyses 45 6.2 Conclusions 48 6.3 Answers to the research questions and future developments 52

The European commission

Fish bioaccumulation and biomarkers in environmental risk assessment: a review

KEGG(Kyoto Encyclopedia of Genes and Genomes)〔和文〕 (特集 ゲノム医学の現在と未来--基礎と臨床) -- (データベース)

An expert meeting was organized by the World Health Organization (WHO) and held in Stockholm on 15-18 June 1997. The objective of this meeting was to derive consensus toxic equivalency factors (TEFs) for polychlorinated dibenzo-p-dioxins (PCDDs) and dibenzofurans (PCDFs) and dioxinlike polychlorinated biphenyls (PCBs) for both human, fish, and wildlife risk assessment. Based on existing literature data, TEFs were (re)evaluated and either revised (mammals) or established (fish and birds). A few mammalian WHO-TEFs were revised, including 1,2,3,7,8-pentachlorinated DD, octachlorinated DD, octachlorinated DF, and PCB 77. These mammalian TEFs are also considered applicable for humans and wild mammalian species. Furthermore, it was concluded that there was insufficient in vivo evidence to continue the use of TEFs for some di-ortho PCBs, as suggested earlier by Ahlborg et al. [Chemosphere 28:1049-1067 (1994)]. In addition, TEFs for fish and birds were determined. The WHO working group attempted to harmonize TEFs across different taxa to the extent possible. However, total synchronization of TEFs was not feasible, as there were orders of a magnitude difference in TEFs between taxa for some compounds. In this respect, the absent or very low response of fish to mono-ortho PCBs is most noticeable compared to mammals and birds. Uncertainties that could compromise the TEF concept were also reviewed, including nonadditive interactions, differences in shape of the dose-response curve, and species responsiveness. In spite of these uncertainties, it was concluded that the TEF concept is still the most plausible and feasible approach for risk assessment of halogenated aromatic hydrocarbons with dioxinlike properties.

/pdf/toxic-equivalency-factors-tefs-for-pcbs-pcdds-pcdfs-for-595d73h716.pdf

Toxic equivalency factors (TEFs) for PCBs, PCDDs, PCDFs for humans and wildlife

Sustainable Development Goals

https://setac.onlinelibrary.wiley.com/doi/pdf/10.1002/ieam.1411

Toward sustainable environmental quality: A call to prioritize global research needs

Risk assessment considerations for veterinary medicines in aquatic ecosystems

The objective of our study was to examine the partitioning of dieldrin in sediment interstitial (pore) water. Clean sediments obtained from three northeastern Minnesota lakes, Airport Pond (AP), Pequaywan (PQ) Lake, and West Bearskin (WB) Lake, were spiked with dieldrin at five different concentrations. Pore water was isolated by centrifugation, and a reverse-phase C 18 column technique was used to separate freely dissolved dieldrin from dissolved organic carbon (DOC)-bound dieldrin. Results showed DOC-bound dieldrin was generally >30% when pore-water DOC concentrations were >20 mg/L. Pore-water DOC partition coefficients (K DOC ) were determined for AP, PQ Lake, and WB Lake using the ratio of the DOC-bound chemical concentration (normalized to DOC) to the freely dissolved chemical concentration. The individual partition coefficients were compared by one-way analysis of variance. Statistical analysis revealed that K DOC values were not significantly different. This suggests that under our experimental procedures, K DOC values are not significantly different among pore waters obtained from the three northeastern Minnesota lake sediments. A pooled K DOC was calculated using least-squares regression and compared to the mean of all individual K DOC values. The K DOC is best represented for this region by a pooled log 10 K DOC value of 4.43. Our observed K DOC was compared to K DOC values predicted from published K DOC and K ow w (octanol/water partition coefficient) relationships. Our observed value was in close agreement with predicted values

Determination of dieldrin binding to dissolved organic material in sediment pore water using a reverse‐phase separation technique

Development and application of transcriptomics-based gene classifiers for ecotoxicological applications lag far behind those of biomedical sciences. Many such classifiers discovered thus far lack vigorous statistical and experimental validations. A combination of genetic algorithm/support vector machines and genetic algorithm/K nearest neighbors was used in this study to search for classifiers of endocrine-disrupting chemicals (EDCs) in zebrafish. Searches were conducted on both tissue-specific and tissue-combined datasets, either across the entire transcriptome or within individual transcription factor (TF) networks previously linked to EDC effects. Candidate classifiers were evaluated by gene set enrichment analysis (GSEA) on both the original training data and a dedicated validation dataset. Multi-tissue dataset yielded no classifiers. Among the 19 chemical-tissue conditions evaluated, the transcriptome-wide searches yielded classifiers for six of them, each having approximately 20 to 30 gene features unique to a condition. Searches within individual TF networks produced classifiers for 15 chemical-tissue conditions, each containing 100 or fewer top-ranked gene features pooled from those of multiple TF networks and also unique to each condition. For the training dataset, 10 out of 11 classifiers successfully identified the gene expression profiles (GEPs) of their targeted chemical-tissue conditions by GSEA. For the validation dataset, classifiers for prochloraz-ovary and flutamide-ovary also correctly identified the GEPs of corresponding conditions while no classifier could predict the GEP from prochloraz-brain. The discrepancies in the performance of these classifiers were attributed in part to varying data complexity among the conditions, as measured to some degree by Fisher’s discriminant ratio statistic. This variation in data complexity could likely be compensated by adjusting sample size for individual chemical-tissue conditions, thus suggesting a need for a preliminary survey of transcriptomic responses before launching a full scale classifier discovery effort. Classifier discovery based on individual TF networks could yield more mechanistically-oriented biomarkers. GSEA proved to be a flexible and effective tool for application of gene classifiers but a similar and more refined algorithm, connectivity mapping, should also be explored. The distribution characteristics of classifiers across tissues, chemicals, and TF networks suggested a differential biological impact among the EDCs on zebrafish transcriptome involving some basic cellular functions.

/pdf/discovery-and-validation-of-gene-classifiers-for-endocrine-3movinsvpr.pdf

Discovery and validation of gene classifiers for endocrine-disrupting chemicals in zebrafish (danio rerio)

Inhibition of enzymes involved in the synthesis of sex steroids can substantially impact developmental and reproductive processes controlled by the hypothalmic-pituitary-gonadal (HPG) axis. A key steroidogenic enzyme that has received little attention from a toxicological perspective is 3β-hydroxysteroid dehydrogenase (3β-HSD). In these studies, we exposed reproductively-active fathead minnows (Pimephales promelas) to the model 3β-HSD inhibitor trilostane at two test concentrations (300 and 1,500 µg/L) over a 16-d period that included both 8-d exposure and 8-d recovery phases. Plasma concentrations of 17β-estradiol (E2) in females were depressed within hours of exposure to the drug and remained decreased at the highest trilostane concentration throughout the 8-d exposure. Reductions in E2 were accompanied by decreases in plasma concentrations of the estrogen-responsive protein vitellogenin (VTG). During the recovery phase of the test, plasma E2 and VTG concentrations returned to levels comparable to those of controls, in the case of E2 within 1 d. Up-regulation of ovarian expression of gene products for follicle-stimulating hormone receptor (fshr) and aromatase (cyp19a1a) suggested active compensation in trilostane-exposed animals. Effects of trilostane on HPG-related endpoints in exposed males were less pronounced, although, as in females, up-regulation of gonadal fshr was seen. Data from these time-course studies provide insights as to direct impacts, compensatory responses, and recovery from effects associated with perturbation of a comparatively poorly characterized enzyme/pathway critical to sex steroid synthesis. This information is important to the design and interpretation of approaches for assessing the occurrence and effects of HPG-active chemicals in both the laboratory and the field. Environ. Toxicol. Chem. 2011;30:2094–2102. © 2011 SETAC

Gerald T. Ankley

Papers

Toward sustainable environmental quality: A call to prioritize global research needs

Risk assessment considerations for veterinary medicines in aquatic ecosystems

Determination of dieldrin binding to dissolved organic material in sediment pore water using a reverse‐phase separation technique

Discovery and validation of gene classifiers for endocrine-disrupting chemicals in zebrafish (danio rerio)

Temporal evaluation of effects of a model 3β-hydroxysteroid dehydrogenase inhibitor on endocrine function in the fathead minnow