Results 61 to 70 of about 3,455,384 (266)
Appendix A. Forest classification and assessment of forest protection.
Forest classification and assessment of forest ...
Anna Norman (2904062) +4 more
core +1 more source
Minnesota Forest Scene, Issue 27 (Spring 2022) [PDF]
1 electronic resource (PDF, 20 pages; includes color photographs)University of Minnesota. Department of Forest Resources. (2022). Minnesota Forest Scene, Issue 27 (Spring 2022).
University of Minnesota. Department of Forest Resources
core
The impact of leukocyte‐associated RNA retention on platelet RNA‐based cancer detection
Platelets carry RNA signals that may help detect cancer, but platelet samples can also retain RNA from white blood cells. We found that this retained white blood cell signal did not significantly affect machine learning cancer classification, suggesting that the cancer‐related RNA signal in platelets is largely independent of leukocyte‐associated RNA ...
Michał Sieczczyński +12 more
wiley +1 more source
Urban forests are highly heterogeneous; information about the combined effect of forest classification scale and algorithm selection on the estimation accuracy for urban forests remains unclear.
Chao Zhang +6 more
doaj +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
High-Resolution Forest Mapping from TanDEM-X Interferometric Data Exploiting Nonlocal Filtering
In this paper, we discuss the potential and limitations of high-resolution single-pass interferometric synthetic aperture radar (InSAR) data for forest mapping.
Michele Martone +5 more
doaj +1 more source
Random forest classification algorithm.
Random forest classification algorithm.
Tamer Dag (6269795) +1 more
core +1 more source
Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA
Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley +1 more source
Forests provide a wide range of ecosystem services, and their importance in supporting human well-being is widely recognized. As goods and benefits from forests are exhaustible, it is therefore essential to gather sound data for their monitoring and ...
Lucio Di Cosmo +5 more
doaj +1 more source
Forest Delineation Based on Airborne LIDAR Data
The delineation of forested areas is a critical task, because the resulting maps are a fundamental input for a broad field of applications and users.
Norbert Pfeifer +3 more
doaj +1 more source

