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The brand slogan change is an important measure to adjust the brand image and maintain the brand’s vitality in the fierce market competition. Clothing is both a product of culture and a carrier of culture, and changes in clothing company brand slogans are closely related to changes in consumer culture. This study selects clothing company brand slogans that have changed in the Chinese market in the last 20 years (2000-2019) and adopts a combination of statistical analysis and content analysis to discuss the trends and characteristics of brand slogans in the process of change from the perspective of cultural values. It was found that: (1) the individualism, collectivism, and high power distance presented by Chinese clothing companies’ brand slogans increased significantly between the two successive decades during the change process; the low uncertainty avoidance presented by them decreased significantly between the two successive decades; while low power distance, high uncertainty avoidance, masculinity, and feminism did not change significantly. (2) Among the cultural value claims, the claim “Succorance” in collectivism is found to have increased significantly, while the claim “Plain” in low power distance has decreased significantly. The remaining 28 demands did not change significantly. This paper enriches the discussion of brand slogan change from the perspective of cultural values. When designing a new brand slogan, clothing companies need to anticipate the current consumer culture in the context of the times to develop a brand slogan that is in line with consumer values.

Drug discovery is a lengthy, costly and high-risk endeavour that is further convoluted by high attrition rates in later development stages. Toxicity has been one of the main causes of failure during clinical trials, increasing drug development time and costs. To facilitate early identification and optimisation of toxicity profiles, several computational tools emerged aiming at improving success rates by timely pre-screening drug candidates. Despite these efforts, there is an increasing demand for platforms capable of assessing both environmental as well as human-based toxicity properties at large scale. Here, we present toxCSM, a comprehensive computational platform for the study and optimisation of toxicity profiles of small molecules. toxCSM leverages on the well-established concepts of graph-based signatures, molecular descriptors and similarity scores to develop 36 models for predicting a range of toxicity properties, which can assist in developing safer drugs and agrochemicals. toxCSM achieved an Area Under the Receiver Operating Characteristic (ROC) Curve (AUC) of up to 0.99 and Pearson's correlation coefficients of up to 0.94 on 10-fold cross-validation, with comparable performance on blind test sets, outperforming all alternative methods. toxCSM is freely available as a user-friendly web server and API at http://biosig.lab.uq.edu.au/toxcsm. [ABSTRACT FROM AUTHOR]