8 results on '"Linzner D"'
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2. Continuous-Time Bayesian Networks with Clocks
- Author
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Engelmann, N., Linzner, D., and Heinz Koeppl
- Subjects
FOS: Computer and information sciences ,Computer Science - Machine Learning ,Markovian ,Genes ,Statistics - Machine Learning ,engineering ,Continuous Time Bayesian Networks (CTBNs) ,Machine Learning (stat.ML) ,algorithms ,semi-Markov chains ,Machine Learning (cs.LG) - Abstract
Structured stochastic processes evolving in continuous time present a widely adopted framework to model phenomena occurring in nature and engineering. However, such models are often chosen to satisfy the Markov property to maintain tractability. One of the more popular of such memoryless models are Continuous Time Bayesian Networks (CTBNs). In this work, we lift its restriction to exponential survival times to arbitrary distributions. Current extensions achieve this via auxiliary states, which hinder tractability. To avoid that, we introduce a set of node-wise clocks to construct a collection of graph-coupled semi-Markov chains. We provide algorithms for parameter and structure inference, which make use of local dependencies and conduct experiments on synthetic data and a data-set generated through a benchmark tool for gene regulatory networks. In doing so, we point out advantages compared to current CTBN extensions., Comment: 10 main pages, 7 pages appendix, 3 figures, proceedings of ICML2020
- Published
- 2020
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3. Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data
- Author
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Linzner, D., Schmidt, M., and Heinz Koeppl
- Subjects
FOS: Computer and information sciences ,Computer Science - Machine Learning ,Statistics - Machine Learning ,Machine Learning (stat.ML) ,Machine Learning (cs.LG) - Abstract
Continuous-time Bayesian Networks (CTBNs) represent a compact yet powerful framework for understanding multivariate time-series data. Given complete data, parameters and structure can be estimated efficiently in closed-form. However, if data is incomplete, the latent states of the CTBN have to be estimated by laboriously simulating the intractable dynamics of the assumed CTBN. This is a problem, especially for structure learning tasks, where this has to be done for each element of a super-exponentially growing set of possible structures. In order to circumvent this notorious bottleneck, we develop a novel gradient-based approach to structure learning. Instead of sampling and scoring all possible structures individually, we assume the generator of the CTBN to be composed as a mixture of generators stemming from different structures. In this framework, structure learning can be performed via a gradient-based optimization of mixture weights. We combine this approach with a new variational method that allows for a closed-form calculation of this mixture marginal likelihood. We show the scalability of our method by learning structures of previously inaccessible sizes from synthetic and real-world data., Comment: Accepted at NeurIPS2019
- Published
- 2019
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4. Reservoir-induced Thouless pumping and symmetry-protected topological order in open quantum chains
- Author
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Linzner, D., primary, Wawer, L., additional, Grusdt, F., additional, and Fleischhauer, M., additional
- Published
- 2016
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5. Key diagnostic markers for autoimmune lymphoproliferative syndrome with molecular genetic diagnosis.
- Author
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Molnár E, Radwan N, Kovács G, Andrikovics H, Henriquez F, Zarafov A, Hayman M, Linzner D, Thrasher AJ, Buckland M, Burns SO, and Gilmour KC
- Subjects
- Adolescent, Adult, Aged, Apoptosis genetics, Autoimmune Lymphoproliferative Syndrome genetics, Autoimmune Lymphoproliferative Syndrome metabolism, Biomarkers metabolism, Child, Child, Preschool, Cohort Studies, Female, High-Throughput Nucleotide Sequencing, Humans, Infant, Infant, Newborn, Male, Middle Aged, Mutation, Retrospective Studies, Sequence Analysis, DNA methods, United Kingdom, Young Adult, Autoimmune Lymphoproliferative Syndrome diagnosis, Biomarkers analysis, Molecular Diagnostic Techniques methods
- Abstract
Autoimmune lymphoproliferative syndrome (ALPS) is a rare immunodeficiency caused by mutations in genes affecting the extrinsic apoptotic pathway (FAS, FASL, CASP10). This study evaluated the clinical manifestations, laboratory findings, and molecular genetic results of 215 patients referred as possibly having ALPS. Double-negative T-cell (DNT) percentage and in vitro apoptosis functional tests were evaluated by fluorescence-activated cell sorting; interleukin 10 (IL-10) and IL-18 and soluble FAS ligand (sFASL) were measured by enzyme-linked immunosorbent assay. Genetic analysis was performed by next-generation sequencing. Clinical background data were collected from patients' records. Patients were categorized into definite, suspected, or unlikely ALPS groups, and laboratory parameters were compared among these groups. Of 215 patients, 38 met the criteria for definite ALPS and 17 for suspected ALPS. The definite and suspected ALPS patient populations showed higher DNT percentages than unlikely ALPS and had higher rates of lymphoproliferation. Definite ALPS patients had a significantly more abnormal in vitro apoptosis function, with lower annexin, than patients with suspected ALPS (P = .002) and patients not meeting ALPS criteria (P < .001). The combination of elevated DNTs and an abnormal in vitro apoptosis functional test was the most useful in identifying all types of ALPS patients; the combination of an abnormal in vitro apoptosis functional test and elevated sFASLs was a predictive marker for ALPS-FAS group identification. Lymphoproliferation, apoptosis functional test, and DNTs are the most sensitive markers; elevated IL-10 and IL-18 are additional indicators for ALPS. The combination of elevated sFASLs and abnormal apoptosis function was the most valuable prognosticator for patients with FAS mutations., (© 2020 by The American Society of Hematology.)
- Published
- 2020
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6. Development of Deaf Adults with Intellectual Disability in a Therapeutic Living Community.
- Author
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Fellinger J, Linzner D, Holzinger D, Dall M, Fellinger M, and Fogler J
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- Deafness psychology, Deafness rehabilitation, Humans, Intellectual Disability psychology, Intellectual Disability rehabilitation, Communication, Deafness complications, Intellectual Disability etiology, Interpersonal Relations
- Abstract
People with intellectual disabilities who are deaf face obstacles participating in social environments that do not take into account their need for accessible visual communication. In the present case series, we describe the development of the adaptive skills profiles of eight participants in a fully inclusive therapeutic living community, designed specifically for people with developmental disabilities who are deaf and focused on supporting communication, social relationships, conflict resolution, and work satisfaction. Adaptive skills ratings collected at enrollment and twelve years later suggest increases in social awareness and community living, whereas personal care and homemaking showed relatively little change., (© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.)
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- 2020
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7. Influence of Maternal Age on Selected Obstetric Parameters.
- Author
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Schildberger B, Linzner D, Hehenberger L, Leitner H, and Pfeifer C
- Abstract
Introduction In recent decades, there has been a continuous rise in the average age at which women give birth. A maternal age of 35 years and above is considered an independent risk factor in pregnancy and birth, due to higher rates of intervention. This study investigates the influence of maternal age on birth procedure, gestational age, and rate of interventions during delivery. The influence of maternal parity is also analyzed. Material and Methods Data from the Austrian Register of Births was retrospectively collected and evaluated. The collected data was the data of all singleton live births in Austria between January 1, 2008 and December 31, 2016 (n = 686 272). Multiple births and stillbirths were excluded from the study. Maternal age and parity were analyzed in relation to predefined variables (birth procedure, gestational age, episiotomy in cases of vaginal delivery, epidural anesthesia in both vaginal and cesarean deliveries, and intrapartum micro-blood gas analysis). Statistical data was evaluated using (1) descriptive univariate analysis, (2) bivariate analysis, and (3) multinomial regression models. Results The cesarean section rate and the rate of surgically-assisted vaginal deliveries increased with advancing maternal age, especially in primiparous women, while the rate of spontaneous deliveries decreased with increasing maternal age. A parity of ≥ 2 had a protective effect on the cesarean section rate. The rate of premature births also increased with increasing maternal age, particularly among primiparous women. Discussion Although higher maternal age has a negative effect on various obstetric parameters, it was nevertheless not possible to identify a causal connection. Maternal age should not be assessed as an independent risk factor; other factors such as lifestyle or prior chronic disease and parity must be taken into consideration., Competing Interests: Conflict of Interest/Interessenkonflikt The authors declare that they have no conflict of interest./Die Autoren geben an, dass kein Interessenkonflikt besteht.
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- 2019
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8. Absence of γ-Chain in Keratinocytes Alters Chemokine Secretion, Resulting in Reduced Immune Cell Recruitment.
- Author
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Nowak K, Linzner D, Thrasher AJ, Lambert PF, Di WL, and Burns SO
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- Cell Line, Cell Movement, Chemokines biosynthesis, Flow Cytometry, Heavy Chain Disease genetics, Heavy Chain Disease metabolism, Humans, Keratinocytes immunology, Keratinocytes pathology, RNA genetics, Reverse Transcriptase Polymerase Chain Reaction, Chemokines genetics, Gene Expression Regulation, Heavy Chain Disease immunology, Immunity, Innate, Immunoglobulin gamma-Chains metabolism, Keratinocytes metabolism, T-Lymphocytes immunology
- Abstract
Loss-of-function mutations in the common gamma (γc) chain cytokine receptor subunit give rise to severe combined immunodeficiency characterized by lack of T and natural killer cells and infant death from infection. Hematopoietic stem cell transplantation or gene therapy offer a cure, but despite successful replacement of lymphoid immune lineages, a long-term risk of severe cutaneous human papilloma virus infections persists, possibly related to persistent γc-deficiency in other cell types. Here we show that keratinocytes, the only cell type directly infected by human papilloma virus, express functional γc and its co-receptors. After stimulation with the γc-ligand IL-15, γc-deficient keratinocytes show significantly impaired secretion of specific chemokines including CXCL1, CXCL8, and CCL20, resulting in reduced chemotaxis of dendritic cells and CD4
+ T cells. Furthermore, γc-deficient keratinocytes also exhibit defective induction of T-cell chemotaxis in a model of stable human papilloma virus-18 infection. These findings suggest that persistent γc-deficiency in keratinocytes alters immune cell recruitment to the skin, which may contribute to the development and persistence of warts in this condition and would require different treatment approaches., (Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.)- Published
- 2017
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