Results 241 to 250 of about 56,890 (307)
High-resolution Annotated Dataset of Girvanella Boundstone Microfacies from the Xiannüdong Formation, China. [PDF]
Choi S +6 more
europepmc +1 more source
Machine Learning Predicts Adequacy of Rapid On-site Evaluation in Fine Needle Aspirations in Lung Cancer Cytology. [PDF]
Brechenmacher C +6 more
europepmc +1 more source
Shingle Interconnection Reliability of PERC and Thin HJT Cells for Low Earth Orbit Applications
Evolution of maximum power output (Pmax$$ {}_m ax $$) of PERC and thin HJT shingled cells with the Electrically Conductive Adhesives (ECA) “S” and “A” exposed to +120°C/−$$ - $$120°C thermal cycles up to 5×103$$ 5\times 1{0}^3 $$ times. Losses are induced by an increased series resistance with all cell technologies and ECA. Imaging (electroluminescence
Jean‐Baptiste Charpentier +5 more
wiley +1 more source
Benthic Microalgae Respond More Strongly to Warming and Salinity Than Zooplankton. [PDF]
Virta L, Engström-Öst J.
europepmc +1 more source
Over the last five decades, several milestones in energy system modelling enabled the progressing role of solar PV in the field of 100% renewable energy systems research. The key advancements are grouped into visionary scoping, advances in PV system applications, expanding economic insights, methodological advances and additional aspects. ABSTRACT Five
Christian Breyer +5 more
wiley +1 more source
Open-source framework for detecting bias and overfitting for large pathology images. [PDF]
Sildnes A +7 more
europepmc +1 more source
A walk in the park—Identifying healthy greenspaces using scents
As urbanisation accelerates globally, access to nature is increasingly recognised as vital for public health and wellbeing. We captured and analysed plant‐emitted airborne ‘scent signatures’ across Oxford's urban greenspaces to assess their potential health relevance.
William T. Kay +6 more
wiley +1 more source
Graded phononic metamaterials based on scalable microfabrication and design. [PDF]
Dorn C +3 more
europepmc +1 more source
This study develops a method to identify the source areas of precipitation events, as illustrated for the western part of the Netherlands. Radar‐based precipitation data are traced back to their source areas and machine‐learning techniques are used to identify hypothesized causes: urban heat, surface roughness, and air pollution. We find that urban and
Jelmer van der Graaff +1 more
wiley +1 more source

