Transformer(s) of the Logistics Industry - Enabling Logistics Companies to Excel with Digital Platforms

Platformization is a prevailing trend that changes industries at their core. The rise and dominance of platform-based companies require incumbent companies and start-ups to rethink how they approach that novel challenge and leverage its full potential. To successfully steer and initiate this digitally enabled industry transformation, even in traditional industries like logistics, the incumbent companies require IT and specific platform design support. However, designing a digital platform is a complex task riddled with design options, potential pitfalls, and complex underlying mechanisms. Consequently, research and practice require tools to leverage past design knowledge and generate digital platforms in a goal-oriented fashion. This paper addresses precisely that issue as we report on a design science research study that developed a visual inquiry tool for digital platform design. Ultimately, the visual inquiry tool provides researchers and practitioners with the means to develop digital platforms more efficiently and strategically

Improving Visual Function after Mild Traumatic Brain Injury Using a Vision Therapy Program: Case Reports

This case report describes the outcome of vision therapy for three patients who were referred to therapy due to visual symptoms after mild traumatic brain injury (MTBI). The criterion for inclusion was a high score (>21p) on the Convergence Insufficiency Symptom Survey (CISS) scale. The vision therapy program (VTP) included both face-to-face sessions and home-based tasks. Cases #1 and #2 had a substantial CISS scale evaluation improvement, and case #2 normalized the CISS scale score from 36 to 19. All patients agreed that vision therapy helped them understand their own vision and changes in their vision, which helped their overall recovery after MTBI. Rehabilitation professionals have an important role in screening for vision impairments and treating functional vision challenges after mild traumatic brain injury

The time course of ineffective sham blinding during low-intensity (1mA) transcranial direct current stimulation

Studies using transcranial direct current stimulation (tDCS) typically compare an active protocol relative to a shorter sham (placebo) protocol. Both protocols are presumed to be perceptually identical on the scalp, and thus represent an effective method of delivering double‐blinded experimental designs. However, participants often show above‐chance accuracy when asked which condition involved active/sham retrospectively. We assessed the time course of sham‐blinding during active and sham tDCS. We predicted that participants would be aware that the current is switched on for longer in the active versus sham protocol. 32 adults were tested in a pre‐registered, double‐blinded, within‐subjects design. A forced‐choice reaction time task was undertaken before, during and after active (10min 1mA) and sham (20s 1mA) tDCS. The anode was placed over the left primary motor cortex (C3) to target the right hand, and the cathode on the right forehead. Two probe questions were asked every 30s: “Is the stimulation on? “and “How sure are you?”. Distinct periods of non‐overlapping confidence intervals were identified between conditions, totalling 5min (57.1% of the total difference in stimulation time). These began immediately after sham ramp‐down and lasted until the active protocol had ended. We therefore show a failure of placebo control during 1mA tDCS. These results highlight the need to develop more effective methods of sham‐blinding during transcranial electrical stimulation protocols, even when delivered at low‐intensity current strengths

How to assess technological developments in basic research? Enabling formative interventions regarding sustainability, ethics, and consumer issues at an early stage

In an era of ever faster and more momentous technological development, both technology assessment and transdisciplinary interventions are in danger of structurally lagging behind the speed of innovation. This paper proposes a new tiered approach to technology assessment at low Technology Readiness Levels that enables a both rapid and concerted interdisciplinary science response to this Great Acceleration. Covering sustainability, ethics, and consumer issues, this approach encourages and enables the innovators themselves to conduct assessments embedded in the innovation process as early as possible. Suitable tools for early engagement that help facilitate development-integrated assessments are introduced and described. The design and use of these instruments in the field of basic research is illustrated using the Cluster of Excellence livMatS as an example.In einer Ära immer rascherer und folgenreicherer technologischer Entwicklungen laufen sowohl die Technologiebewertung als auch transdisziplinäre Interventionen Gefahr, strukturell hinter der Dynamik von Innovationen zurückzubleiben. In diesem Beitrag wird ein neuer gestufter Ansatz für die Technikfolgenabschätzung für niedrige Technology Readiness Levels vorgeschlagen, der eine schnelle und konzertierte interdisziplinäre Reaktion der Wissenschaft auf diese "große Beschleunigung" ermöglicht. Dieser Ansatz, der Nachhaltigkeits-, Ethik- und Verbraucherfragen abdeckt, ermutigt und befähigt die Innovatoren, in den Innovationsprozess eingebettete Bewertungen so früh wie möglich selbst durchzuführen. Geeignete Instrumente für entwicklungsintegrierte Bewertungen werden vorgestellt und beschrieben. Die Konzeption und Anwendung dieser Instrumente im Bereich der Grundlagenforschung wird am Beispiel des Exzellenzclusters livMatS veranschaulicht

News website, search engine or social media?: Explaining different pathways to news online

How do we choose where we access news online, and how does this shape how we understand and engage with it? Judith Möller, Robbert Nicolai van de Velde, Lisa Merten and Cornelius Puschmann examine these questions in the context of a fragmented set of online news pathways, and find that levels of political interest and trust are more significant than extreme political opinions for shaping our habits

Cross-lingual Approaches for the Detection of Adverse Drug Reactions in German from a Patient's Perspective

In this work, we present the first corpus for German Adverse Drug Reaction (ADR) detection in patient-generated content. The data consists of 4,169 binary annotated documents from a German patient forum, where users talk about health issues and get advice from medical doctors. As is common in social media data in this domain, the class labels of the corpus are very imbalanced. This and a high topic imbalance make it a very challenging dataset, since often, the same symptom can have several causes and is not always related to a medication intake. We aim to encourage further multi-lingual efforts in the domain of ADR detection and provide preliminary experiments for binary classification using different methods of zero- and few-shot learning based on a multi-lingual model. When fine-tuning XLM-RoBERTa first on English patient forum data and then on the new German data, we achieve an F1-score of 37.52 for the positive class. We make the dataset and models publicly available for the community.Comment: Accepted at LREC 202

Concomitant Sjögren’s disease as a biomarker for treatment effectiveness in rheumatoid arthritis:results from the Swiss clinical quality management cohort

Objective: To investigate the clinical phenotype and treatment response in patients with rheumatoid arthritis (RA) with and without concomitant Sjögren’s disease (SjD). Methods: In this observational cohort study, patients with RA from the Swiss Clinical Quality Management in Rheumatic Diseases registry were categorised according to the presence or absence of SjD. To assess treatment effectiveness, drug retention of tumor necrosis factor-α-inhibitors (TNFi) was compared to other mode of action (OMA) biologics and Janus kinase-inhibitors (JAKi) in RA patients with and without SjD. Adjusted hazard ratios (HR) for time to drug discontinuation were compared in crude and adjusted Cox proportional regression models for potential confounders.Results: We identified 5974 patients without and 337 patients with concomitant SjD. Patients with SjD were more likely to be female, to have a positive rheumatoid factor, higher disease activity scores, and erosive bone damage. For treatment response, a total of 6781 treatment courses were analysed. After one year, patients with concomitant SjD were less likely to reach DAS28 remission with all three treatment modalities. Patients with concomitant SjD had a higher hazard for stopping TNFi treatment (adjusted HR 1.3 [95% CI 1.07-1.6]; OMA HR 1.12 [0.91-1.37]; JAKi HR 0.97 [0.62-1.53]). When compared to TNFi, patients with concomitant SjD had a significantly lower hazard for stopping treatment with OMA (adjusted HR 0.62 [95% CI 0.46-0.84]) and JAKi (HR 0.52 [0.28-0.96]).Conclusion: RA patients with concomitant SjD reveal a severe RA phenotype, are less responsive to treatment, and more likely to fail TNFi. <br/

A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages

User-generated data sources have gained significance in uncovering Adverse Drug Reactions (ADRs), with an increasing number of discussions occurring in the digital world. However, the existing clinical corpora predominantly revolve around scientific articles in English. This work presents a multilingual corpus of texts concerning ADRs gathered from diverse sources, including patient fora, social media, and clinical reports in German, French, and Japanese. Our corpus contains annotations covering 12 entity types, four attribute types, and 13 relation types. It contributes to the development of real-world multilingual language models for healthcare. We provide statistics to highlight certain challenges associated with the corpus and conduct preliminary experiments resulting in strong baselines for extracting entities and relations between these entities, both within and across languages.Comment: Accepted at LREC-COLING 202

Chitosan nanoparticles as antigen vehicles to induce effective tumor specific T cell responses

Cancer vaccinations sensitize the immune system to recognize tumor-specific antigens de novo or boosting preexisting immune responses. Dendritic cells (DCs) are regarded as the most potent antigen presenting cells (APCs) for induction of (cancer) antigen-specific CD8+ T cell responses. Chitosan nanoparticles (CNPs) used as delivery vehicle have been shown to improve anti-tumor responses. This study aimed at exploring the potential of CNPs as antigen delivery system by assessing activation and expansion of antigen-specific CD8+ T cells by DCs and subsequent T cell-mediated lysis of pancreatic ductal adenocarcinoma (PDAC) cells. As model antigen the ovalbumin-derived peptide SIINFEKL was chosen. Using imaging cytometry, intracellular uptake of FITC-labelled CNPs of three different sizes and qualities (90/10, 90/20 and 90/50) was demonstrated in DCs and in pro- and anti-inflammatory macrophages to different extents. While larger particles (90/50) impaired survival of all APCs, small CNPs (90/10) were not toxic for DCs. Internalization of SIINFEKL-loaded but not empty 90/10-CNPs promoted a pro-inflammatory phenotype of DCs indicated by elevated expression of pro-inflammatory cytokines. Treatment of murine DC2.4 cells with SIINFEKL-loaded 90/10-CNPs led to a marked MHC-related presentation of SIINFEKL and enabled DC2.4 cells to potently activate SIINFEKL-specific CD8+ OT-1 T cells finally leading to effective lysis of the PDAC cell line Panc-OVA. Overall, our study supports the suitability of CNPs as antigen vehicle to induce potent anti-tumor immune responses by activation and expansion of tumor antigen-specific CD8+ T cells