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Composites combining two or more different materials with different physical and chemical properties allow for tailoring mechanical and other characteristics of the resulting multi-material system. In relation to fiber-reinforced plastic composites, combinations of textile materials with 3D printed polymers result in different mechanical properties. While the tensile strength of the multi-material system is increased compared to the pure 3D printed material, the elasticity of the polymer layer can be retained to a certain degree, as the textile material is not completely immersed in the polymer. Instead, an interface layer is built in which both materials interpenetrate to a certain degree. The purpose of this study is to investigate the adhesion between both materials at this interface.

This paper gives an overview of the parameters affecting the interface layer. It shows that both the printing material and the textile substrate influence the adhesion between both materials due to viscosity during printing, thickness and pore sizes, respectively. While some material combinations build strong form-locking connections, others can easily be delaminated.

Depending on both materials, significantly different adhesion values can be found in such 3D printed composites.

This makes some combinations very well suitable for building composites with novel mechanical properties, while other suffer of insufficient connections.

For the first time, the dependence of the polymer-textile adhesion force was evaluated according to the distance between both compound partners. It was shown that this value is of crucial interest and must thus be taken into account when producing printed polymer-textile composites.

Usual lab coats are designed to protect the wearer from the splats of chemicals, oil, dirt, etc. Simple lab coats are damaged by concentrated acids, thus quickly showing typical small holes along the front when worn in a laboratory where acids are used. For intense handling of acids and other chemicals, special protective lab coats with rubber or vinyl apron or chemical-resistant overalls are used. The purpose of this paper is to investigate the possibility to protect lab coats from acid damages by finishing them with commercially available hydrophobization chemicals.

Two commercial hydrophobic sprays were applied on cotton, polyamide and polyester lab coat materials. Contact and roll-off angles were compared with the untreated textile fabrics before typical laboratory acids were applied on the fabrics. Finally, antibacterial properties of the finished textiles were examined.

Spray 1 resulted in significantly increased hydrophobicity, while spray 2 did not have any influence on the results. With spray 1, the originally hydrophobic fabrics became more hydrophobic, and even the originally strongly hydrophilic fabrics showed large contact angles of 130–140°. Roll-off angles were significantly reduced from 40 to 50° (for the hydrophobic fabrics) or even 90° (in case of hydrophilic fabrics) to approximately 15–25°. Correspondingly, spray 1 showed an increase of the acid resistance of the finished textile fabrics of up to 30 min for the originally hydrophobic fabrics and up to 20 min for the originally hydrophilic ones, with only one polyester fabric showing no acid resistance at all, while spray 2 led to increased antibacterial properties.

While spray 1 can support laboratory safety by increasing the time until acids penetrate through a lab coat, spray 2 can support sterile work in a biological laboratory.

To the best of the authors’ knowledge, increasing the acid resistance as well as the antibacterial properties of lab coats with easily accessible sprays has not been reported before in the scientific literature.

By mapping-out the capabilities, challenges and limitations of named-entity recognition (NER), this article aims to synthesise the state of the art of NER in the context of the early modern research field and to inform discussions about the kind of resources, methods and directions that may be pursued to enrich the application of the technique going forward.

Through an extensive literature review, this article maps out the current capabilities, challenges and limitations of NER and establishes the state of the art of the technique in the context of the early modern, digitally augmented research field. It also presents a new case study of NER research undertaken by Enlightenment Architectures: Sir Hans Sloane's Catalogues of his Collections (2016–2021), a Leverhulme funded research project and collaboration between the British Museum and University College London, with contributing expertise from the British Library and the Natural History Museum.

Currently, it is not possible to benchmark the capabilities of NER as applied to documents of the early modern period. The authors also draw attention to the situated nature of authority files, and current conceptualisations of NER, leading them to the conclusion that more robust reporting and critical analysis of NER approaches and findings is required.

This article examines NER as applied to early modern textual sources, which are mostly studied by Humanists. As addressed in this article, detailed reporting of NER processes and outcomes is not necessarily valued by the disciplines of the Humanities, with the result that it can be difficult to locate relevant data and metrics in project outputs. The authors have tried to mitigate this by contacting projects discussed in this paper directly, to further verify the details they report here.

The authors suggest that a forum is needed where tools are evaluated according to community standards. Within the wider NER community, the MUC and ConLL corpora are used for such experimental set-ups and are accompanied by a conference series, and may be seen as a useful model for this. The ultimate nature of such a forum must be discussed with the whole research community of the early modern domain.

NER is an algorithmic intervention that transforms data according to certain rules-, patterns- or training data and ultimately affects how the authors interpret the results. The creation, use and promotion of algorithmic technologies like NER is not a neutral process, and neither is their output A more critical understanding of the role and impact of NER on early modern documents and research and focalization of some of the data- and human-centric aspects of NER routines that are currently overlooked are called for in this paper.

This article presents a state of the art snapshot of NER, its applications and potential, in the context of early modern research. It also seeks to inform discussions about the kinds of resources, methods and directions that may be pursued to enrich the application of NER going forward. It draws attention to the situated nature of authority files, and current conceptualisations of NER, and concludes that more robust reporting of NER approaches and findings are urgently required. The Appendix sets out a comprehensive summary of digital tools and resources surveyed in this article.

Generation Z in Germany – born after 1995 – follows in many ways similar trends to be seen in other countries. Contrary to Generation Y, it is less career-focussed, less keen on financial rewards and less willing to work flexible in a competitive world with total work–life blending. They look for structure, security and feeling good. What is different: Germany is one of the few countries in the world in which Generation Z in many cases can live up to their dreams. Germany has a prospering economy, a stable society and still a good educational system. Most important, for young people, it has an unemployment rate of virtually zero per cent. Therefore, companies definitely must engage in the war for talents and provide Generation Z with a fitting employer value proposition: Generation Z looks for meaningful and exciting work but seeks also meaning and excitement in private lives. In particular, they demand a clear separation of their private lives from their job. All this stands in contrast to the ambitions of the industrial sector in Germany promoting a more Generation Y-type environment with flexibility, agility and work–life blending. This conflict is not dealt with in an open way, since politics and media stand on the side of the large companies. Still, the power of Generation Z is not to be underestimated. Therefore, the chapter leaves it for the future to find out whether the Generation Z or other forces will win.

Despite growing interest in the intersection of supply chain management (SCM) and management accounting (MA) in the academic debate, there is a lack of understanding regarding both the content and the delimitation of this topic. As of today, no common conceptualization of supply chain management accounting (SCMA) exists. The purpose of this study is to provide an overview of the research foci of SCMA in the scholarly debate of the past two decades. Additionally, it analyzes whether and to what extent the academic discourse of MA in SCs has already found its way into both SCM and MA higher education, respectively.

A content analysis is conducted including 114 higher education textbooks written in English or in German language.

The study finds that SC-specific concepts of MA are seldom covered in current textbooks of both disciplines. The authors conclude that although there is an extensive body of scholarly research about SCMA concepts, there is a significant discrepancy with what is taught in higher education textbooks.

There is a large discrepancy between the extensive knowledge available in scholarly research and what we teach in both disciplines. This implies that graduates of both disciplines lack important knowledge and skills in controlling and accounting for SCs. To bring about the necessary change, MA and SCM in higher education must be more integrative.

To the best of the authors knowledge, this study is first of its kind comprising a large textbook sample in both English and German languages. It is the first substantiated assessment of the current state of integration between SCM and MA in higher education.