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Publikation KVI-Konformität in der Nachhaltigkeitsberichterstattung der IWB. Analyse und Ergänzungen(Hochschule für Life Sciences FHNW, 2024) Heuberger, Noomi; Hengevoss, Dirk; Industrielle Werke Basel (IWB)11 - Studentische ArbeitPublikation Machbarkeitsstudie zur Wiederverwertung von Kupfer und Plastik aus Kabelresten(Hochschule für Life Sciences FHNW, 2024) Dahinden, Jonas; Lenz, Markus; Recycling Huber11 - Studentische ArbeitPublikation Automatische Datenextraktion aus Anamnesebögen(Hochschule für Life Sciences FHNW, 2024) Kamber, Lukas; Kahraman, Abdullah; Universität Zürich11 - Studentische ArbeitPublikation Characterization of cells for In-Vitro Fertilization(Hochschule für Life Sciences, 2024) Braun Ponce de Leon, Andreas; Nahum, Uri; Smart-Pick GmbH; Universitätsspital Basel, Basel11 - Studentische ArbeitPublikation GPS für das Becken. 3D Visualisierung von anatomischen Strukturen(Hochschule für Life Sciences FHNW, 2024) Bopp, Nicolas; Brodbeck, Dominique; Universitätsspital Zürich (USZ), Zürich11 - Studentische ArbeitPublikation Cloud-based three-dimensional pattern analysis and classification of proximal humeral fractures – A feasibility study(EasyChair, 2022) Kalt, Denise; Gerber Popp, Ariane; Degen, Markus; Brodbeck, Dominique; Coigny, Florian; Suter, Thomas; Schkommodau, Erik; Rodriguez y Baena, Ferdinando; Giles, Joshua W.; Stindel, EricFor the complex clinical issue of treatment decision for proximal humeral fractures, dedicated software based on three-dimensional (3D) computer tomography (CT) models would potentially allow for a more accurate fracture classification and help to plan the surgical strategy needed to reduce the fracture in the operating theatre. The aim of this study was to elaborate the feasibility of implementation of such software using state-of-the-art cloud technology to enable access to its functionalities in a distributed manner. Feasibility was studied by implementation of a prototype application, which was tested in a usability study with five biomedical engineers. Implementation of a cloud-based solution was feasible using state-of-the-art technology under application of a specific software architectural approach allowing to distribute computational load between client and server. Mean System Usability Scale (SUS) Score for the developed application was determined to be 63 (StDev 20.4). These results can be interpreted as a medium low usability with high standard deviation of the measured SUS score. We conclude that more test subjects should be included in future studies and the developed application should be evaluated with a representative user group such as orthopaedic shoulder surgeons in a clinical setting.04B - Beitrag KonferenzschriftPublikation Circularity and environmental sustainability of organic and printed electronics(Jenny Stanford Publishing, 2024) Le Blévennec, Kévin; Hengevoss, Dirk; Zimmermann, Yannick-Serge; Brun, Nadja; Hugi, Christoph; Lenz, Markus; Corvini, Philippe; Fent, Karl; Nisato, Giovanni; Lupo, Donald; Rudolf, SimoneIn this chapter, the possible role and impact of organic and printed electronics (OPE) in a transition toward a circular economy and more sustainable society will be discussed. The learning targets are twofold: first, understanding main environmental issues associated with the emerging field of OPE, and second, identifying, through a systemic perspective, the enabling potential of these technologies.04A - Beitrag SammelbandPublikation Life cycle assessment of a novel production route for scandium recovery from bauxite residues(Elsevier, 2024) Hengevoss, Dirk; Misev, Victor; Feigl, Viktória; Fekete-Kertész, Ildikó; Molnár, Mónika; Balomenos, Efthymios; Davris, Panagiotis; Hugi, Christoph; Lenz, MarkusScandium (Sc) has various technological applications, but the concentrations of Sc in ores are low. Both, the mining of low concentrated Sc and the production of industrial-grade Sc are a heavy burden on the environment. Bauxite residue (BR) from alumina production represents one of the major sources of Sc in Europe (Ochsenkühn-Petropulu et al., 1994). The goal of this study is to assess the environmental impacts from cradle to gate of a novel production route developed in the Scandium Aluminium Europe project (SCALE) to extract Sc at concentrations <100 ppm from BR, to concentrate and upgrade it to pure ScF3 and Sc2O3 and ultimately to refine it to an aluminium scandium master alloy with 2 % Sc mass fraction (AlSc2 %). Results show that the global warming potential (GWP), measured in CO2-eq per kg Sc2O3, generated with the novel route is about half the GWP of the state-of-the-art Sc2O3 production from rare earth tailings when applying equal allocation principles. The initial process step to dissolve BR and extract Sc consumes elevated amounts of acid and energy and is responsible for at least 80 % of the route’s total environmental impact. The amount of the generated filter cake (FC) is equal to the amount of the BR input and is a potential resource for cement clinker production. The ecotoxicological study indicates that both FC and BR are slightly ecotoxic.01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Author Correction. The dengue-specific immune response and antibody identification with machine learning(Nature, 20.01.2024) Natali, Eriberto Noel; Horst, Alexander; Meier, Patrick; Greiff, Victor; Nuvolone, Mario; Babrak, Lmar Marie; Fink, Katja; Miho, EnkelejdaDengue virus poses a serious threat to global health and there is no specific therapeutic for it. Broadly neutralizing antibodies recognizing all serotypes may be an effective treatment. High-throughput adaptive immune receptor repertoire sequencing (AIRR-seq) and bioinformatic analysis enable in-depth understanding of the B-cell immune response. Here, we investigate the dengue antibody response with these technologies and apply machine learning to identify rare and underrepresented broadly neutralizing antibody sequences. Dengue immunization elicited the following signatures on the antibody repertoire: (i) an increase of CDR3 and germline gene diversity; (ii) a change in the antibody repertoire architecture by eliciting power-law network distributions and CDR3 enrichment in polar amino acids; (iii) an increase in the expression of JNK/Fos transcription factors and ribosomal proteins. Furthermore, we demonstrate the applicability of computational methods and machine learning to AIRR-seq datasets for neutralizing antibody candidate sequence identification. Antibody expression and functional assays have validated the obtained results.01A - Beitrag in wissenschaftlicher ZeitschriftPublikation The dengue-specific immune response and antibody identification with machine learning(Nature, 20.01.2024) Natali, Eriberto Noel; Horst, Alexander; Meier, Patrick; Greiff, Victor; Nuvolone, Mario; Babrak, Lmar Marie; Fink, Katja; Miho, EnkelejdaDengue virus poses a serious threat to global health and there is no specific therapeutic for it. Broadly neutralizing antibodies recognizing all serotypes may be an effective treatment. High-throughput adaptive immune receptor repertoire sequencing (AIRR-seq) and bioinformatic analysis enable in-depth understanding of the B-cell immune response. Here, we investigate the dengue antibody response with these technologies and apply machine learning to identify rare and underrepresented broadly neutralizing antibody sequences. Dengue immunization elicited the following signatures on the antibody repertoire: (i) an increase of CDR3 and germline gene diversity; (ii) a change in the antibody repertoire architecture by eliciting power-law network distributions and CDR3 enrichment in polar amino acids; (iii) an increase in the expression of JNK/Fos transcription factors and ribosomal proteins. Furthermore, we demonstrate the applicability of computational methods and machine learning to AIRR-seq datasets for neutralizing antibody candidate sequence identification. Antibody expression and functional assays have validated the obtained results.01A - Beitrag in wissenschaftlicher Zeitschrift