Kevin Frank

ORCID: 0000-0003-2516-9673
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About
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Research Areas
  • Ecology and Vegetation Dynamics Studies
  • Forest Ecology and Biodiversity Studies
  • Plant and animal studies
  • Land Use and Ecosystem Services
  • Mobile Health and mHealth Applications
  • Forest Insect Ecology and Management
  • Ethics and Social Impacts of AI
  • Peatlands and Wetlands Ecology
  • Insect-Plant Interactions and Control
  • Artificial Intelligence in Healthcare and Education
  • Species Distribution and Climate Change
  • Technology Use by Older Adults
  • Global Healthcare and Medical Tourism
  • vaccines and immunoinformatics approaches
  • Forest Management and Policy
  • SARS-CoV-2 and COVID-19 Research
  • Insect and Arachnid Ecology and Behavior
  • Conservation, Biodiversity, and Resource Management
  • Marine and fisheries research
  • Insect and Pesticide Research
  • Computational Drug Discovery Methods
  • Wildlife Ecology and Conservation
  • Ethics in Clinical Research
  • Agroforestry and silvopastoral systems

Fraunhofer Institute for Translational Medicine and Pharmacology
2023-2024

Merck (Germany)
2024

Technical University of Darmstadt
2015-2020

Significance Ecosystem services derive from ecosystem functions and rely on complex interactions among a diversity of organisms. By understanding the relationships between biodiversity, functions, humans receive nature, we can anticipate how changes in land use will affect ecosystems human wellbeing. We show that increasing land-use intensity homogenizes synergies three organizational levels ecosystem, namely, services. Increasing keystone components, which are important for functioning...

10.1073/pnas.2016210117 article EN Proceedings of the National Academy of Sciences 2020-10-22

Trade-offs and synergies in the supply of forest ecosystem services are common but drivers these relationships poorly understood. To guide management that seeks to promote multiple services, we investigated between 12 stand-level attributes, including structure, composition, heterogeneity plant diversity, plus 4 environmental factors, proxies for 14 150 temperate plots. Our results show attributes best predictors most also good several trade-offs services. Environmental factors play an...

10.1038/s41467-018-07082-4 article EN cc-by Nature Communications 2018-11-12

At the global scale, species diversity is known to strongly increase towards equator for most taxa. According theory, a higher resource specificity of consumers facilitates coexistence larger number and has been suggested as an explanation latitudinal gradient. However, only few studies support predicted in specialisation or even showed opposite results. Surprisingly, analyses detritivores are still missing. Therefore, we performed analysis on degree trophic dung beetles. We summarised 45...

10.1111/ele.13095 article EN Ecology Letters 2018-06-25

At the basis of a trophic web, coprophagous animals like dung beetles (Scarabaeoidea) utilize resources that may have advantages (easy gain and handling) as well drawbacks (formerly processed food). Several studies characterized nutrients, e.g. C/N ratios organic matter content, for specific types dung. However, comparative approach across feeding guilds producers, relationships between nutrients preferences by coprophages, been missing. Hence, we analyzed water ratio, amino acid, neutral...

10.1038/s41598-017-12265-y article EN cc-by Scientific Reports 2017-09-18

Most forests are exposed to anthropogenic management activities that affect tree species composition and natural ecosystem processes. Changes in processes such as herbivory depend on intensity, regional environmental conditions pools. Whereas influences of specific forest measures have already been addressed for different herbivore taxa a local scale, studies considering effects aspects across regions rare. We assessed the influence intensity harvesting arthropod herbivores herbivore-related...

10.1371/journal.pone.0126140 article EN cc-by PLoS ONE 2015-05-04

Abstract In addition to vaccines, the World Health Organization sees novel medications as an urgent matter fight ongoing COVID-19 pandemic. One possible strategy is identify target proteins, for which a perturbation by existing compound likely benefit patients. order contribute this effort, we present GuiltyTargets-COVID-19 ( https://guiltytargets-covid.eu/ ), machine learning supported web tool candidate drug targets. Using six bulk and three single cell RNA-Seq datasets, together with lung...

10.1038/s41598-023-34287-5 article EN cc-by Scientific Reports 2023-05-03

Abstract Background The rapidly growing quantity of health data presents researchers with ample opportunity for innovation. At the same time, exploitation value Big Data poses various ethical challenges that must be addressed in order to fulfil requirements responsible research and innovation (Gerke et al. 2020; Howe III Elenberg 2020). sovereignty its principles self-determination informed consent are central goals this endeavor. However, their consistent implementation has enormous...

10.1007/s00481-024-00827-4 article EN cc-by Ethik in der Medizin 2024-07-17

Background: The healthcare sector is currently undergoing a significant transformation, driven by an increased utilization of data. In this evolving landscape, surveys are pivotal importance to the comprehension patient needs and preferences. Moreover, digital affinity patients physicians within system reforming manner in which services accessed delivered. donation data influencing future medical research treatment, while artificial intelligence (AI) empowering with knowledge improving...

10.3390/healthcare12202053 article EN Healthcare 2024-10-16
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