Use of QSARs in international decision-making frameworks to predict ecologic effects and environmental fate of chemical substances

This article is a review of the use, by regulatory agencies and authorities, of quantitative structure–activity relationships (QSARs) to predict ecologic effects and environmental fate of chemicals. For many years, the U.S. Environmental Protection Agency has been the most prominent regulatory agency using QSARs to predict the ecologic effects and environmental fate of chemicals. However, as increasing numbers of standard QSAR methods are developed and validated to predict ecologic effects and environmental fate of chemicals, it is anticipated that more regulatory agencies and authorities will find them to be acceptable alternatives to chemical testing

Automated workflows for modelling chemical fate, kinetics and toxicity.

Automation is universal in today's society, from operating equipment such as machinery, in factory processes, to self-parking automobile systems. While these examples show the efficiency and effectiveness of automated mechanical processes, automated procedures that support the chemical risk assessment process are still in their infancy. Future human safety assessments will rely increasingly on the use of automated models, such as physiologically based kinetic (PBK) and dynamic models and the virtual cell based assay (VCBA). These biologically-based models will be coupled with chemistry-based prediction models that also automate the generation of key input parameters such as physicochemical properties. The development of automated software tools is an important step in harmonising and expediting the chemical safety assessment process. In this study, we illustrate how the KNIME Analytics Platform can be used to provide a user-friendly graphical interface for these biokinetic models, such as PBK models and VCBA, which simulates the fate of chemicals in vivo within the body and in vitro test systems respectively

Methods for reliability and uncertainty assessment and for applicability evaluations of classification- and regression-based QSARs

This article provides an overview of methods for reliability assessment of quantitative structure–activity relationship (QSAR) models in the context of regulatory acceptance of human health and environmental QSARs. Useful diagnostic tools and data analytical approaches are highlighted and exemplified. Particular emphasis is given to the question of how to define the applicability borders of a QSAR and how to estimate parameter and prediction uncertainty. The article ends with a discussion regarding QSAR acceptability criteria. This discussion contains a list of recommended acceptability criteria, and we give reference values for important QSAR performance statistics. Finally, we emphasize that rigorous and independent validation of QSARs is an essential step toward their regulatory acceptance and implementation. Key words: QSAR acceptability criteria, QSAR applicability domain, QSAR reliability, QSAR uncertainty estimation, QSAR validation

Systematic review of sport coaches’ and teachers’ perceptions and application of game-based and constraints-led pedagogy: A qualitative meta-study

This study represents the first comprehensive qualitative systematic review on sport coaches’ and teachers’ perceptions and application of Game-Based Approaches (GBA) and Constraints-Led Approach (CLA). From searching 12 electronic academic databases from 1982 to 2020, 29 studies met the eligibility criteria and were included in the meta-study. Data revealed studies were conducted in several different countries, and case study design was the predominant methodology. The main data collection method reported was cross-sectional interviews. There were inconsistencies in the quality of reporting methodologies, sampling procedures, data analysis, and assessing quality. The meta-theory analysis identified weaknesses in the methodological and conceptual approaches, and a low number of studies stated philosophical perspectives. The meta-synthesis identified assumptions about learning, pedagogical knowledge and skills, content knowledge, and support as the overarching themes reported to impact coaches’ and teachers’ perceptions and application of GBAs and CLA. Finally, some recommendations for future research and practice are provided

Quantitative Structure - Skin permeability Relationships

This paper reviews in silico models currently available for the prediction of skin permeability with the main focus on the quantitative structure-permeability relationship (QSPR) models. A comprehensive analysis of the main achievements in the field in the last decade is provided. In addition, the mechanistic models are discussed and comparative studies that analyse different models are discussed

Ultraviolet polarisation sensitivity in the stomatopod crustacean Odontodactylus scyllarus

The ommatidia of crustacean eyes typically contain two classes of photoreceptors with orthogonally oriented microvilli. These receptors provide the basis for two-channel polarisation vision in the blue–green spectrum. The retinae of gonodactyloid stomatopod crustaceans possess a great variety of structural specialisations for elaborate polarisation vision. One type of specialisation is found in the small, distally placed R8 cells within the two most ventral rows of the mid-band. These ultraviolet-sensitive photoreceptors produce parallel microvilli, a feature suggestive for polarisation-sensitive photoreceptors. Here, we show by means of intracellular recordings combined with dye-injections that in the gonodactyloid species Odontodactylus scyllarus, the R8 cells of mid-band rows 5 and 6 are sensitive to linear polarised ultraviolet light. We show that mid-band row 5 R8 cells respond maximally to light with an e-vector oriented parallel to the mid-band, whereas mid-band row 6 R8 cells respond maximally to light with an e-vector oriented perpendicular to the mid-band. This orthogonal arrangement of ultraviolet-sensitive receptor cells could support ultraviolet polarisation vision. R8 cells of rows 5 and 6 are known to act as quarter-wave retarders around 500 nm and thus are the first photoreceptor type described with a potential dual role in polarisation vision

Cooperation in wild Barbary macaques: factors affecting free partner choice

A key aspect of cooperation is partner choice: choosing the best available partner improves the chances of a successful cooperative interaction and decreases the likelihood of being exploited. However, in studies on cooperation subjects are rarely allowed to freely choose their partners. Group-living animals live in a complex social environment where they can choose among several social partners differing in, for example, sex, age, temperament, or dominance status. Our study investigated whether wild Barbary macaques succeed to cooperate using an experimental apparatus, and whether individual and social factors affect their choice of partners and the degree of cooperation. We used the string pulling task that requires two monkeys to manipulate simultaneously a rope in order to receive a food reward. The monkeys were free to interact with the apparatus or not and to choose their partner. The results showed that Barbary macaques are able to pair up with a partner to cooperate using the apparatus. High level of tolerance between monkeys was necessary for the initiation of successful cooperation, while strong social bond positively affected the maintenance of cooperative interactions. Dominance status, sex, age, and temperament of the subjects also affected their choice and performance. These factors thus need to be taken into account in cooperative experiment on animals. Tolerance between social partners is likely to be a prerequisite for the evolution of cooperation

Reproductive factors and oesophageal cancer in Chinese women: a case-control study

<p/> <p>Background</p> <p>Previous studies showed that sex hormone might play a role in the development of oesophageal cancer in Western countries. However, evidence from Chinese populations is still lacking.</p> <p>Methods</p> <p>We performed a hospital-based case-control study in Guangzhou, China. From June 2006 to May 2009, face-to-face interviews were conducted on 73 cases and 157 controls. Cases were Chinese females with newly diagnosed primary oesophageal cancer. Controls were hospitalized individuals without cancer and frequency matched by age groups. The interviews included questions about childbearing and menarche history, together with potential confounders. Unconditional logistic regression was used to estimate the risk of factors.</p> <p>Results</p> <p>Women who had given birth before were not at increased risk compared to childless women (adjusted OR = 1.17, 95% CI: 0.48 ~ 2.85). The risk of oesophageal cancer increased with age at first birth: the adjusted OR for women first giving birth at age 25 or later was 2.02 (95% CI: 1.01 ~ 4.04) compared with those reporting their first birth before age 22. History of spontaneous abortion was not significantly associated with increased risk (adjusted OR = 1.37, 95% CI: 0.49 ~ 3.83). No significant association was observed between menstrual variables (age at menarche, age at menopause, and years of menstruation) and risk of oesophageal cancer.</p> <p>Conclusions</p> <p>Giving birth at later age may increase the risk of oesophageal cancer in women. Further studies in Chinese populations with larger sample sizes are still needed.</p

Student performance assessment using clustering techniques

The application of informatics in the university system management allows managers to count with a great amount of data which, rationally treated, can offer significant help for the student programming monitoring. This research proposes the use of clustering techniques as a useful tool of management strategy to evaluate the progression of the students’ behavior by dividing the population into homogeneous groups according to their characteristics and skills. These applications can help both the teacher and the student to improve the quality of education. The selected method is the data grouping analysis by means of fuzzy logic using the Fuzzy C-means algorithm to achieve a standard indicator called Grade, through an expert system to enable segmentation.Universidad de la Costa, 2 Universidad Nacional Experimental Politécnica “Antonio José de Sucre”, Universidad Simón Bolívar, Corporación Universitaria Latinoamericana, Corporación Universitaria Minuto de Dios