78 research outputs found
Increasing the yield of human mononuclear cells and low serum conditions for in vitro generation of macrophages with M-CSF
No full textSkik følge eller land fly?: En undersøgelse af kommunikationen om vellykket integration
No full textRapporten indeholder en diskursanalyse af kommunikation om integration, udfra en forståelsesramme, som inddrager dagsordenteorien. Der er analyse af diskurserne hos henholdsvis regeringen, et nyhedsmedie (Profilen, DR) og en gruppe etniske minoriteter. Analyserne bindes sammen af et møde om integration på Marienborg 30. november 2004, indkaldt af Statsminsteren. Rapporten indeholder analyse af diskussionsoplægget til mødet, et kritisk interview med integrationsministeren dagen efter mødet, og en receptionsanalyse af en fokusgruppe med repræsentanter for etniske minoriteter, som ser uddrag af tv-interviewet.Rapporten indeholder en diskursanalyse af kommunikation om integration, udfra en forståelsesramme, som inddrager dagsordenteorien. Der er analyse af diskurserne hos henholdsvis regeringen, et nyhedsmedie (Profilen, DR) og en gruppe etniske minoriteter. Analyserne bindes sammen af et møde om integration på Marienborg 30. november 2004, indkaldt af Statsminsteren. Rapporten indeholder analyse af diskussionsoplægget til mødet, et kritisk interview med integrationsministeren dagen efter mødet, og en receptionsanalyse af en fokusgruppe med repræsentanter for etniske minoriteter, som ser uddrag af tv-interviewet
FeTGAN: Federated Time-Series Generative Adversarial Network
No full textThe key to producing high-fidelity time-series data is to preserve temporal dynamics. This means that generated sequences respect the relationship between variables across time as in the original data. While new types of GANs have been used to generate time-series data, they, like previous GANimplementations, are time consuming to train. A novel federated framework is proposed, which generates realistic time-series data, by combining supervised and unsupervised training. The framework is based on the work in TimeGAN and Federated GAN (FeGAN). Using an embedded learning space, TimeGANencourages the network to mimic the structure of the training data. FeGAN allows the results of TimeGAN to be combined at a central server, which has benefits for both throughput, and potential to improve data privacy. This also introduces the possibility of using cross domain data. The challenge with creating applying federated learning to TimeGAN, and timeseries data in general is whether the learned temporal dynamics can be combined. This is accomplished by the combination of the weighting and sampling scheme used. This paper demonstrates, by qualitative and quantitative analysis, the ability novel framework proposed, to produce equivalent quality synthetic timeseries data compared to the original TimeGAN, without sharing local data between nodes in the network. This is based on the predictive and discriminative scores described, as well as PCA and t-SNE analysis. Additionally, there is an approximate eleven percent increase in Floating Point Operations per second when using one machine, and up to a thirty percent increase when using multiple.CSE3000 Research ProjectComputer Science and Engineerin
Advances and Challenges in Islet Transplantation: Islet Procurement Rates and Lessons Learned from Suboptimal Islet Transplantation
No full textThe initial step in successful islet transplantation is procurement of healthy donor islets. Given the limited number of donor pancreata selected for islet isolation and that islets from multiple donors are typically required to obtain insulin independence, it is critical to improve pancreas procurement rates and yield of islets for transplantation. Islets are delicate microorgans that are susceptible to apoptosis, hypoxia, and ischemia during isolation, culture, and the peritransplant period. Once the islets are engrafted, both prompt revascularization and protection from beta-cell death and graft rejection are key to secure long-term survival and function. To facilitate the engraftment of more robust islets suitable for combating the challenging isolation period and proinflammatory transplantation milieu, numerous approaches have been employed to prevent beta-cell dysfunction and death including immune modulation, prevention of apoptosis and hypoxia, as well as stimulation of growth factors, angiogenesis, and reinnervation. In addition to briefly discussing islet isolation procedures, procurement rates, and islet transplantation, the relevant literature pertaining to successful suboptimal islet transplantation is reviewed to provide insight into potential approaches to balance the limited supply of available donor islets
Ethics work in AI-based distant surveillance of patients at home
No full textAI and datafication are expected to fundamentally transform professional work (Mayer-Schönberger and Cukier 2013; Susskind and Susskind 2015) and public sector service delivery in the future (e.g. DK Government 2019). However, many recent studies take a critical stance towards the widespread, but simplified conception of AI as leading to automation of human tasks of assessment, decision-making and learning (e.g. Pink et al. 2022). Newly emerging studies demonstrate that use of AI more often results in a re-constitution of professionalism, where new forms of professionalism and new professional groups arise (Jørgensen 2021; Møhl 2019; Waardenburg et al. 2022). Here, AI combined with other datafication processes result in a redistribution of knowledge and work between actors and technologies, and across value chains (Plesner and Justesen 2022; Ruckenstein and Turunen 2020; Tubaro et al. 2020)
Detection of the novel HLA allele, HLA-DRB1*08:112, identified in a Danish family
No full textHLA-DRB1*08:112 differs from HLA-DRB1*08:01 in exon 2 at amino acid 62; asparagine to lysine substitution.</p
Low serum conditions for in vitro generation of human macrophages with macrophage colony stimulating factor
No full textDetection of the novel HLA allele, HLA-DQA1*01:65, identified in a Danish donor
No full textHLA-DQA1*01:65 differs from HLA-DQA1*01:03 in exon 1 at amino acid -7 a valine to methionine substitution.</p
by next‐generation sequencing
No full textHLA-DRB1*03:201 differs from HLA-DRB1*03:01 in exon 3 at codon 178 resulting in a proline to serine substitution.HLA-DRB1*03:201 differs from HLA-DRB1*03:01 in exon 3 at codon 178 resulting in a proline to serine substitution.</p
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