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Data Science is a burgeoning area in the iField. But Data Science practices have far outstripped the field's ethical safeguards. We argue that Data Science graduate education programs must address this critical problem. In this theoretical and conceptual paper, we posit an ordinary macroethics that we call data flourishing. We contend that this macroethics is most appropriately developed through a holistic, human‐centered data science (HCDS)‐based pedagogy that concentrates on cultivating communities of ethical practice (COEPs) through social learning. We favor embedding this macroethics throughout iField programs' graduate data science curricula and by extension, the entire data science education enterprise. This paper aligns with the 2023 ASIS&T annual meeting theme of translating research into practice, particularly the subthemes of "improving decision‐making" and "understanding the power of information to develop human happiness, equality, and wellbeing." [ABSTRACT FROM AUTHOR]

A museum's digital archive system gathers information about cultural heritage and makes it accessible to the public. In this study we clarify the extent to which search behaviors reflect task outcome and foster users' knowledge of painting and calligraphy. Ten users participated who are special interest museum visitors. They joined in this evaluation of the Digital Archives of Chinese Painting and Calligraphy Search System (DA‐PCSS) of the National Palace Museum in Taiwan. Participants' search activities and interactions with the DA‐PCSS were recorded in two simulated tasks. The results show that the high‐performance (HP) group who received high scores for their essays on the tasks formulated precise and relevant queries. Furthermore, the HP group were able to find information needed inside or outside the system to explore and synthesize the information, which was clearly reflected in their search move patterns, during the search process. Our results suggest that the criteria for learning at various stages of search suggested by Vakkari (2016) seem to validly reflect the quality of the search outcomes. In all, the results elucidate how the evaluated system supports users as they search for target items, as well as how learning occurs during the search process and in turn influences task outcomes. [ABSTRACT FROM AUTHOR]

Liquid cosmetics and pharmaceutics are often filled in plastic bottles, which are mainly produced by blow molding, a cost-effective process. The products often dry out or are contaminated after the opening of the packaging. A solution is to use multi-layered packaging that allow a gradual emptying and are airtight in order to prevent a contamination. However, these containers are not economically affordable for many products and therefore previously used only for highvalue products. As part of the project, the current five-layer structure has to be optimized. The aim is to realize a threelayer structure in which a modified polyamide is used to replace the previous EVOH layer. For the first time, polypropylene and polyamide are combined in an extrusion blow molding process. [ABSTRACT FROM AUTHOR]

Photochromic molecules can be interconverted between two bistable conformations by light [1-3]. Irie and coworkers described a strategy to achieve superior fluorescence characteristics and outstanding switching characteristics of a photochromic unit by linking strong fluorophores covalently to photochromic building blocks [3,4]. Accordingly, we synthesised molecular triads that consist of two perylene bisimide (PBI) fluorophores covalently linked to a dithienylcyclopentene (DCP) photochromic switch, see fig. 1. Such kinds of triads are promising candidates for super-resolution microscopy like RESOLFT and PALM [5,6], or can be used as optical transistors or memories [4,7]. [ABSTRACT FROM AUTHOR]