34711 research outputs found
Sort by
Workflow for Safe-AI
No full textThe development and deployment of safe and dependable AI models is crucial in applications where functional safety is a key concern. Given the rapid advancement in AI research and the relative novelty of the safe-AI domain, there is an increasing need for a workflow that balances stability with adaptability. This work proposes a transparent, complete, yet flexible and lightweight workflow that highlights both reliability and qualifiability. The core idea is that the workflow must be qualifiable, which demands the use of qualified tools. Tool qualification is a resource-intensive process, both in terms of time and cost. We therefore place value on a lightweight workflow featuring a minimal number of tools with limited features. The workflow is built upon an extended ONNX model description allowing for validation of AI algorithms from their generation to runtime deployment. This validation is essential to ensure that models are validated before being reliably deployed across different runtimes, particularly in mixed-criticality systems
Freiheit und Unabhängigkeit als Qualitätsmerkmal von Forschung Sozialer Arbeit
No full textVortrag im Rahmen des Beitrages der Fokusgruppe zum Thema: Freiheit und Unabhängigkeit als Qualitätsmerkmal von Forschung Sozialer ArbeitIm Rahmen des Tagungsthemas präsentierte die Forschungskommission Blickwinkel auf das Thema Freiheit und Forschung. Dieser Beitrag befasste sich mit Freiheit im Bezug auf die Wahl, Änderung und Kreation von bestehenden / neuen Forschungsmethoden in der qualitativen Sozialarbeitsforschung. Das asynchrone online Interview sieht vor, dass über digitale Medien (Text und allenfalls Audio) über mehrere Tage oder Wochen hinweg, asynchron miteinander konversiert wird. Diese Methode beinhaltet viele ethnographische Aspekte, sowie auch gewisse narrative und biographische. In der Forschung mit (physisch) sozial zurückgezogenen Menschen ist der Kontakt über digitale Medien teilweise eine der einzigen Wege, um sie zu erreichen. Abschliessend wurden kritische Aspekte der Validtät, Ethik und des Datenschutzes präsentiert.
Zum Tagungsthema passend wurde hiermit die These präsentiert, sich die Freiheit zu nehmen, die Forschungsmethode an den Gegenstand und das Feld anzupassen oder auch neu zu entwickeln
Square Kilometre Array Science Data Challenge 3a : foreground removal for an EoR experiment
No full text29 pages, 10 figures, submitted to MNRASWe present and analyse the results of the Science data challenge 3a (SDC3a, https://sdc3.skao.int/challenges/foregrounds), an EoR foreground-removal community-wide exercise organised by the Square Kilometre Array Observatory (SKAO). The challenge ran for 8 months, from March to October 2023. Participants were provided with realistic simulations of SKA-Low data between 106MHz and 196 MHz, including foreground contamination from extragalactic as well as Galactic emission, instrumental and systematic effects. They were asked to deliver cylindrical power spectra of the EoR signal, cleaned from all corruptions, and the corresponding confidence levels. Here we describe the approaches taken by the 17 teams that completed the challenge, and we assess their performance using different metrics. The challenge results provide a positive outlook on the capabilities of current foreground-mitigation approaches to recover the faint EoR signal from SKA-Low observations. The median error committed in the EoR power spectrum recovery is below the true signal for seven teams, although in some cases there are some significant outliers. The smallest residual overall is 4.2+20
−4.2 × 10−4 K2h−3cMpc3 across all considered scales and frequencies. The estimation of confidence levels provided by the teams is overall less accurate, with the true error being typically underestimated, sometimes very significantly. The most accurate error bars account for 60 ± 20% of the true errors committed. The challenge results provide a means for all teams to understand and improve their performance. This challenge indicates that the comparison between independent pipelines could be a powerful tool to assess residual biases and improve error estimation
Evaluation of self-collected dried blood spots for detection of SARS-CoV-2 nucleocapsid antibodies shows low sensitivity
No full textBackground and aims: Dried blood spots (DBS) have been proposed as a cost-effective surveillance method for population-wide screening of SARS-CoV-2 immunity but sensitivity of DBS based on self-collected DBS samples is unknown. To evaluate the success of vaccination strategies, it is necessary to differentiate vaccination from natural infection. Therefore, a test for antibodies against the viral nucleocapsid protein (anti-N) is desirable.
Materials and methods: In our prospectively followed cohort of healthcare workers (HCW) in eastern Switzerland, we assessed SARS-CoV-2-anti-N-seroprevalence using DBS on a biweekly basis from March to September 2020. Phlebotomy samples were collected in March and September and tested for anti-N-seropositivity, as well as SARS-CoV-2 spike antibodies for quantitative validation. Venous antibody testing was compared with DBS results for anti-N using the Roche Elecsys electro-chemiluminescence immunoassay.
Results: 792 HCW (median age 38.3 years) were included, 35 (4.4 %) were SARS-CoV-2-anti-N-seropositive. Of 43 matching DBS, 25 tested positive for anti-N, accounting for a sensitivity of 58.1 % (95 %CI 43.3–71.6 %). We found a significant correlation of anti-N from DBS with results from phlebotomy samples (r = 0.77;p < 0.0001), with higher levels being associated with a higher true-positive rate. Anti-N in DBS correlated significantly with quantitatively validated anti-S obtained from serum (r = 0.67;p < 0.0001).
Conclusion: Although home DBS collection was feasible in a larger cohort and we found a high correlation between anti-N detection in DBS and phlebotomy samples, the sensitivity of self-collected DBS samples was significantly impaired for the Roche Elecsys anti-N assay. Therefore, we cannot recommend this method for DBS when testing from venous blood is possible
Next-level MarTech : a process of implementing marketing technologies in companies
No full textTechnological progress forces companies to deal with new technologies and corresponding software implementation. At the same time, the recent COVID-19 pandemic and emerging disruptive technologies, such as ChatGPT, for marketing have reinforced this trend. The more intensive use of software in marketing brings challenges as experts try to avoid mistakes resulting from a lack of experience. Guidelines offer a clear method for designing orderly processes and assisting with implementation, and this paper seeks to develop just such an aid for software implementation in marketing. These guidelines should outline a process structure and detail the necessary steps to minimize costs and errors during implementation. The guidelines are based on literature research and interviews with 45 experts to gather general and marketing-related insights into software adoption. The findings have been supplemented by scientific research to identify the critical process components and root them in the guidelines. The resulting outcome covers three main areas, from the definition of objectives and the derivation of actions to the selection and implementation of the appropriate software solution. The goals establish the marketing focus and derive specific steps and software options. The introduction of the software takes place both at the technical level and with regular employees, facilitating the implementation process and improving the chances of success
Flash talk: Making Open Research Data Suitable for Comparative Discourse Analysis
No full textGefördert von OSCARS der Europäischen Kommission im Rahmen von Horizon Europe
Brokermarkt in der Schweiz : wohin führt die Reise?
No full textDie Arbeit analysiert die Konsolidierung im Schweizer Brokermarkt und zeigt auf, dass sowohl Unternehmensaufgaben als auch Zukäufe zurzeit und in den nächsten Jahren eine Rolle spielen werden
A method for the adoption of DevOps in SMEs
No full textDevOps represents a novel paradigm in business and information technology, aimed at bridging the gap between development and operations. While existing literature predominantly explores DevOps adoption in large enterprises, the applicability of resulting methods and frameworks to smaller enterprises remains limited. This paper addresses this gap by investigating small and medium enterprises (SMEs), offering insights into how such enterprises have successfully implemented DevOps or, for those facing challenges, how to overcome obstacles during implementation. Our research endeavors focus on developing a methodology tailored to the unique requirements of successful DevOps implementation in SMEs. This methodology has been rigorously tested in domestic Swiss SMEs, involving collaboration with experts and internal IT development teams. Through validation processes, we refined our methodology, resulting in the formulation of an adoption method, a checklist, and a meta-model designed to streamline the DevOps adoption process for SMEs. Our findings demonstrate that the developed method holds practical implications and significantly facilitates the implementation process. However, it is crucial to customize the methodology to align with the specific characteristics of each company before implementation. This approach ensures that the methodology effectively addresses the individual needs and challenges encountered by SMEs, ultimately enhancing the likelihood of successful DevOps adoption
Power wheelchair virtual reality simulator
No full textIn recent years, virtual reality (VR) technology has made significant strides, yet its application in special and inclusive education remains limited. This paper explores the critical aspects to consider when integrating VR into special education, specifically focusing on empowering children with disabilities through the simulation of power wheelchair control. The study investigates a user-centered approach, considering both child and caregiver perspectives. The research aims to determine factors influencing the acceptance of VR applications for children with disabilities and the relevant boundary conditions to alleviate caregiver burden. Employing a design science approach, the study develops a VR application comprising two levels, targeting beginners and advanced users. The wheelchair simulator utilizes a motion platform, a simple joystick, and VR goggles, providing an immersive and interactive learning environment. The research findings highlight positive outcomes, including good usability, observed flow, perceived pleasure, and the acquisition of joystick skills by the children. The study emphasizes the importance of a user-centered approach in VR application development for special education and showcases the potential for improving learning outcomes and motivation in children with disabilities. The implications extend to caregiver relief, indicating the promising role of VR technology in enhancing the effectiveness of therapeutic practices in special education