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Articles by van Moorsel
Data from: Using a planted tree biodiversity experiment to evaluate imaging spectroscopy for species classification
Published September 2, 2026 | Version v1 This dataset contains airborne imaging spectroscopy measurements of tree canopies collected at two sites of the BIOTREE tree biodiversity experiment in Germany (Kaltenborn and Bechstedt). The experiment comprises monospecific tree patches planted under controlled diversity levels on relatively homogeneous plots, reducing confounding effects of habitat preferences, tree age, crown overlap, and environmental heterogeneity.
Computer Science > Distributed, Parallel, and Cluster Computing
In this paper we discuss the connection between fault-tolerance mechanisms in traditional computer systems, and approaches in accuracy enhancement for AI-based services. We will find that AI mechanisms such as ensembles and reject option have direct counterparts in hardware and software dependability through N-modular redundancy and acceptance tests, even though their motivation, justification and implementation are quite different.
Hematological complications in solid organ transplant recipients with telomere biology disorders: a narrative review
1 Introduction Telomeres are non-coding DNA fragments at the ends of chromosomes that protect the genome from degradation and act as a natural “biological clock”, as they shorten after each cell division, ultimately leading to cell senescence. Natural telomere shortening is partially compensated by the enzymatic telomerase complex, although the expression of telomerase-related genes is highly variable in different organs and cell types (1).
UKFin+: A Research Agenda for Financial Services
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Decreased serpin C1 in extracellular vesicles predicts response to methotrexate treatment in patients with pulmonary sarcoidosis - Respiratory Research
Case and control samples were collected from the St. Antonius Hospital ILD biobank, screening all sarcoidosis patients (n = 2265) for eligibility. Cases were selected based on pulmonary treatment indication (decrease in lung function, dyspnea or pulmonary fibrogenesis), treatment with prednisone or MTX, and presence of serum collected within 6 months prior to start of treatment. 98 sarcoidosis patients were treated with MTX and 69 patients treated with prednisone.
Verifiable Fairness: Privacy-preserving Computation of Fairness for Machine Learning Systems
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Decreased Survival and Lung Function in Progressive Pulmonary Fibrosis
This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by Mark G. J. P. Platenburg 1,*, Joanne J. van der Vis 1,2, Jan C. Grutters 1,3 and Coline H. M.
VT-GAN: Cooperative Tabular Data Synthesis using Vertical Federated Learning
[Submitted on 3 Feb 2023 ( v1 ), last revised 14 Feb 2025 (this version, v2)] Title:VT-GAN: Cooperative Tabular Data Synthesis using Vertical Federated Learning View a PDF of the paper titled VT-GAN: Cooperative Tabular Data Synthesis using Vertical Federated Learning, by Zilong Zhao and 2 other authors View PDF HTML (experimental) Abstract:This paper presents the application of Vertical Federated Learning (VFL) to generate synthetic tabular data using Generative Adversarial Networks (GANs).
[2301.06601] A Dataset of Coordinated Cryptocurrency-Related Social Media Campaigns
arXiv:2301.06601 (cs) [Submitted on 16 Jan 2023 (v1), last revised 23 Jun 2023 (this version, v3)] Download a PDF of the paper titled A Dataset of Coordinated Cryptocurrency-Related Social Media Campaigns, by Karolis Zilius and 2 other authors Download PDF Submission history From: Tasos Spiliotopoulos [ view email] [v1] Mon, 16 Jan 2023 20:37:29 UTC (694 KB) [v2] Mon, 10 Apr 2023 13:54:31 UTC (466 KB) [v3] Fri, 23 Jun 2023 13:38:33 UTC (466 KB) Bibliographic Tools Bibliographic Explorer...
The influence of bright and dim light on substrate metabolism, energy expenditure and thermoregulation in insulin-resistant individuals depends on time of day | SpringerLink
Abstract Aims/hypothesis In our modern society, artificial light is available around the clock and most people expose themselves to electrical light and light-emissive screens during the dark period of the natural light/dark cycle. Such suboptimal lighting conditions have been associated with adverse metabolic effects, and redesigning indoor lighting conditions to mimic the natural light/dark cycle more closely holds promise to improve metabolic health.
Microlyse: a thrombolytic agent that targets VWF for clearance of microvascular thrombosis
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Towards an Equitable Digital Society: Artificial Intelligence (AI) and Corporate Digital Responsibility (CDR) - Society
Abstract In the digital era, we witness the increasing use of artificial intelligence (AI) to solve problems, while improving productivity and efficiency. Yet, inevitably costs are involved with delegating power to algorithmically based systems, some of whose workings are opaque and unobservable and thus termed the “black box”.
Pharmacogenetics of antitumor necrosis factor therapy in... : Current Opinion in Pulmonary Medicine
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ABCA3 mutations in adult pulmonary fibrosis patients: a... : Current Opinion in Pulmonary Medicine
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Predicting outcomes in rheumatoid arthritis related interstitial lung disease
Jacob, J; Hirani, N; van Moorsel, CHM; Rajagopalan, S; Murchison, JT; van Es, HW; Bartholmai, BJ; ... Wells, AU; + view all Jacob, J; Hirani, N; van Moorsel, CHM; Rajagopalan, S; Murchison, JT; van Es, HW; Bartholmai, BJ; van Beek, FT; Struik, MHL; Stewart, GA; Kokosi, M; Egashira, R; Laure Brun, A; Cross, G; Barnett, J; Devaraj, A; Margaritopoulos, G; Karwoski, R; Renzoni, E; Maher, TM; Wells, AU; - view fewer (2018) Predicting outcomes in rheumatoid arthritis related interstitial lung disease.
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