A5055631110- Long-Term Effects of COVID-19
- COVID-19 and Mental Health
- Water Systems and Optimization
- Smart Grid Security and Resilience
- SARS-CoV-2 and COVID-19 Research
- COVID-19 and healthcare impacts
- Integrated Energy Systems Optimization
- Smart Grid Energy Management
- Hearing, Cochlea, Tinnitus, Genetics
- Vestibular and auditory disorders
- Multiple Sclerosis Research Studies
- Advanced Statistical Methods and Models
- Cancer Immunotherapy and Biomarkers
- Wind and Air Flow Studies
- SARS-CoV-2 detection and testing
- Cancer Cells and Metastasis
- COVID-19 epidemiological studies
- Advanced Biosensing Techniques and Applications
- Personal Information Management and User Behavior
- Time Series Analysis and Forecasting
- Fibromyalgia and Chronic Fatigue Syndrome Research
- COVID-19 Clinical Research Studies
- Anomaly Detection Techniques and Applications
- Complex Network Analysis Techniques
- Wildlife Ecology and Conservation
Ostfalia University of Applied Sciences
2020-2024
Nordzucker AG (Germany)
2024
Südzucker (Germany)
2024
Tinnitus, vertigo and dizziness are symptoms commonly reported among Long Post COVID patients, however the severity of these has not been assessed in large trials. Therefore, this study a cohort patients was surveyed about presence tinnitus or symptoms. The online survey completed by German 1,082 adult after mean period 43.2 weeks ± 23.4 infection. Eighty percent were fully vaccinated (at least two vaccinations) at time their first 9.8% hospitalized course acute SARS-CoV-2 At survey, 60%...
Fuzzy clustering, as a powerful method for pattern recognition and data analysis, often produces complex results that require careful examination of individual clusters. In this paper, advanced visualization techniques are presented aim to facilitate the analysis fuzzy clustering by focusing on evaluation interpretation The approach is based development cluster-centric consider inherent uncertainty results. novelty an assessment clusters with proposed visualizations. general, three...
Abstract The long-term symptoms of COVID-19 are the subject public and scientific discussions. Understanding how those long COVID co-occur in clusters syndromes may indicate pathogenic mechanisms COVID. Our study objective was to cluster different symptoms. We included persons who had a assessed (at least 4 weeks after first symptoms). Hierarchical clustering applied as well participants based on Euclidean distance h log-values answers symptom severity. distribution within our cohort is...
With population-wide vaccination availability, the global COVID-19 pandemic entered a new phase. Despite status, some people who were infected with SARS-CoV-2 experience long-term symptoms.In this study, we aim to characterize effects of infection and pandemic. We also build symptom clusters determine risk factors for developing long COVID symptoms. Furthermore, assess social participation health-related quality life in patients general population during pandemic.With mixed-methods,...
Abstract Background Immunocompromised people (ICP) and elderly individuals (older than 80 years) are at increased risk for severe coronavirus infections. To protect against serious infection with SARS-CoV-2, ICP taking precautions that may include a reduction of social contacts participation in activities which they normally enjoy. Furthermore, these people, there is an uncertainty regarding the effectiveness vaccination. The COVID-19 Contact (CoCo) Immune study strives to characterize...
The COVID-19 pandemic situation poses new challenges for research. Ethical issues might arise if especially vulnerable individuals severe course expose themselves because of participation in studies to a higher risk infection study purposes. How is the feasibility and acceptance self-organized blood sample collections measure anti-SARS-CoV-2 Spike IgG antibodies persons with high disease progression?Persons progression (immunocompromised, oncology patients or over 80 years old) were...
The COVID-19 pandemic has affected how people go about their daily lives, often in various and substantial ways. This study aims to prospectively evaluate the changes social participation during persons with a high risk for severe course Germany.A paper-pencil-based survey was conducted starting at March 2021. Participants filled out questionnaires four time points based on vaccination status: before vaccination, one month, six months twelve after vaccination. Social measures included...
The coronavirus disease 2019 (COVID-19) pandemic impacted how people perform their daily lives in manifold and sometimes massive ways. Particularly, individuals who are at high risk for a severe progression, like immunocompromised people, may have experienced drastic changes social participation during the pandemic. A COVID-19 basic vaccination changed safety behavior of terms infection thereby influence mental wellbeing.This study aims to investigate self-perceived baseline before follow-up...
Population parameters are usually determined from mark-recapture experiments requiring laborious field work. Here, we present a model-based approach that can be applied for the determination of avian population such as average individual life expectancy, age in population, and generation length age-differentiated bird counts. Moreover, method presented also create age-specific results lifetime averages using deterministic exponential function calculation interest age-dependent mortality...
Pipe bursts and leaks in district heating networks are a problem both for the economic operation supply reliability of connected consumers. In case leakage, pressure flow rate conditions near defect change. These changes spread to entire network within short period time and, depending on size partly lead drastically changed conditions. After leakage is detected, it necessary localize as accurate possible order shut down affected segment maintain network's stability. This article discusses...
Pipe bursts and leakages in district heating networks are a problem both for the economic operation supply reliability. In order to minimize costs secondary damages, an efficient accurate leakage localization is necessary. If this possible, only affected network part needs be shut down remaining can maintained. One method will pressure wave detection. case of large spontaneous leakage, propagates throughout entire network. Each sensor within reached at different time point due its position....
Immunogenicity of SARS-CoV-2 vaccines is modestly impaired in cancer patients due to a generally weakened immune system. Immune checkpoint inhibitors (ICI) are expected enhance response. This has already been described be the case influenza vaccines, and first data about COVID-19 show trend this direction.We aimed investigate response with melanoma under ICI therapy after vaccination.In Skin Cancer Center Hanover (Germany), we recruited 60 advanced who either received during or before...
The occurrence of a large spontaneous leakage in district heating network leads to pressure wave through the entire network. For safe operation, it is necessary determine location and exclude affected part. optimal evaluation wave, sensors must be placed provide high-quality data. Already installed can used, but improved transmission technology needed. practical application, as few possible should have equipped accordingly. This paper addresses questions how many are needed where they need...
Fast localization of leakages in district heating networks is a demanding yet important task for network operation. Every leakage results loss medium thus energy. In case small leakages, the lost can be replenished to maintain However, if too large, it may inevitable shut down This prevented by separating damaged part using exclusion areas. For this, must assigned correct area as fast and accurately possible. major challenge current without existing or with systems delivering slow, so that...
PurposeThis study aims to examine the health-related Quality of Life (hrQoL) and social participation in participants with Long COVID compared without symptoms after COVID-19 no prior SARS-CoV-2 infection.MethodsA cross-sectional online survey was conducted Germany. The non-random sample consists 18 years or older. Participants were divided three groups: Lg a infection new persistent 28 days infection, ExCOVID days, NoCOVID when had infection. EQ-5D-3L used as hrQoL measure Index for...
Leakages can occur in a district heating network, resulting high economical damage. The propagating pressure wave from large, spontaneous leakages reaches sensors at different locations the network. This leads to drops registered each sensor point time. time differences help localize leakage. Different algorithms are presented and applied this paper estimate drop points based on non-uniform, time-discrete signals. Five of nine self-developed with, e.g., parts linear regression, whereas other...
Large spontaneous leakages in district heating networks (DHNs) require a separation of the affected network part, as interruption heat supply is imminent. Measurement data 22 real events was analyzed for localization, but suitable results were not always achieved. In this paper, reasons are investigated and model evaluation (MoFoDatEv) developed further insights. This contains prior knowledge simplified physical reaction DHN case large leakage. A like does exist so far. It determines time...
Artificial or simulated data are particularly relevant in tests and benchmarks for machine learning methods, teaching exercises setting up analysis workflows. They when real may not be used reasons of protection, special distributions effects should present the to test certain methods. In this paper a generator multivariate numerical with arbitrary marginal – as far possible correlations is presented. The implemented open source statistics software R. It can also categorical variables, if...
Tumor marker determinations are valuable tools for the guidance of breast cancer patients during course disease. They assessed on diverse analytical platforms that may be associated with differences according to methods applied and clinical performance. To investigate method dependency significance protein tumor markers, CEA, CA 15-3, 125, 19-9 AFP were measured in a total 154 biobanked samples from 77 cancer, 10 DCIS, 31 benign diseases 36 healthy controls using Millipore multiplex...