144444 research outputs found
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Management and Long-Term Outcomes of Persistent Tachypnea of Infancy/Neuroendocrine Cell Hyperplasia of Infancy: A European Multicenter Retrospective Study
No full textQuantum lattice boltzmann method for multiple time steps without reinitialization for linear advection-Diffusion problems
No full texthttp://dx.doi.org/10.13039/100021130 Bundesministerium für Wirtschaft und Klimaschutzhttp://dx.doi.org/10.13039/501100006360 Bundesministerium für Wirtschaft und Klimaschut
Biosurfactant slows down n-hexadecane biodegradation: 13C-labeled rhamnolipid tracing
No full texthttp://dx.doi.org/10.13039/501100011171 State Key Laboratory of Geohazard Prevention and Geoenvironment Protectionhttp://dx.doi.org/10.13039/501100016107 Tibet Science and Technology Departmenthttp://dx.doi.org/10.13039/501100006385 Chengdu University of Technolog
Forest structures are shaped by elevation and precipitation in the Central Himalaya
No full texthttp://dx.doi.org/10.13039/501100003385 Georg-August-Universität Göttingenhttp://dx.doi.org/10.13039/501100001655 German Academic Exchange Servicehttp://dx.doi.org/10.13039/100012030 Australian Centre for Advanced Photovoltaicshttp://dx.doi.org/10.13039/100007463 Rufford Foundatio
Visualizing the multidimensional landscape of biological variation in modern microscopy
No full textVariation is a foundational biological principle that has historically been marginalized—both due to limited experimental accessibility and because of idealized, stereotypic blueprints rooted in essentialist thinking. With the advent of genetics and quantitative biology investigating environmental influences on the phenotype, variation was redefined from mere noise to a fundamental property. Modern light sheet microscopy now enables high-resolution, long-term imaging of dynamic processes across large populations, making it possible to systematically study phenotypic variation in vivo. Yet, the resulting high-dimensional datasets overwhelm traditional modes of analysis and visualization, risking the loss of biological insight. The transition from qualitative representation to quantitative measurement demands new epistemic practices—shifting from selective human interpretation to computational abstraction. Instead of relying on either very limited sampling or exhaustive scanning, we advocate for representative sampling of phenotypic variation: adaptive, model-guided systems that dynamically sample biological variation using real-time feedback, directing attention towards biologically relevant events and rare or extreme phenotypes. The underlying models act as the interface to human insight, constructing navigable, queryable representations of variation as a multidimensional manifold shaped by genetics, environment, and stochasticity. Crucially, adaptive systems call for new methods of visualizations—interfaces that encode uncertainty, consensus, and distributional structure. Such visualizations should preserve the interpretability of historical illustrations while fully embracing biological variation. The future of biology lies not in acquiring more data, but in developing smarter ways to sample, represent, and understand it
European energy vision 2050 and beyond: Designing scenarios for Europe’s energy transition
No full textThe relationship between the structural transitions of DMPG membranes and the melting process, and their interaction with water
No full texthttp://dx.doi.org/10.13039/501100001659 Deutsche Forschungsgemeinschafthttp://dx.doi.org/10.13039/100011264 FP7 People: Marie-Curie Action
Contrasting effects of native and non-native conifers on soil microbial communities in mixed European beech - conifer forests
No full texthttp://dx.doi.org/10.13039/501100004543 China Scholarship Councilhttp://dx.doi.org/10.13039/501100010269 Bayerisches Staatsministerium für Ernährung, Landwirtschaft und Forste
Valuation of ecosystem services value based on dynamic equivalent factor in the Yangtze River Delta urban Agglomeration
No full texthttp://dx.doi.org/10.13039/100007219 Shanghai Municipal Natural Science Foundationhttp://dx.doi.org/10.13039/501100004543 China Scholarship Councilhttp://dx.doi.org/10.13039/501100004110 Shanghai Normal Universityhttp://dx.doi.org/10.13039/501100001809 National Natural Science Foundation of Chin
A modified α-synuclein seed amplification assay in Lewy body dementia using Raman spectroscopy and machine learning analysis
No full texthttp://dx.doi.org/10.13039/501100000774 Newcastle Universityhttp://dx.doi.org/10.13039/100010036 Teesside Universityhttp://dx.doi.org/10.13039/501100002283 Alzheimer's Research U