Results 31 to 40 of about 913,093 (244)

Chemical Composition of Wood Chips and Wood Pellets

, 2015
Chemical Composition of Wood Chips and Wood ...
Sriraam R. Chandrasekaran (1281495), Sriraam R. Chandrasekaran (1287969), Lin Lin (46073), Philip K. Hopke (60945), George Allen (1287975), Lisa Rector (1287972)   +5 more
core   +1 more source

Attitudes of cancer patients toward ctDNA‐based liquid biopsy for follow‐up

Molecular Oncology, EarlyView.
This mixed‐methods study explored cancer patients' experiences, knowledge, and preferences regarding ctDNA‐based liquid biopsy for follow‐up. Awareness of ctDNA was low and recall of previous liquid biopsy was imperfect, yet acceptance was high.
Siddharth Chhajlani, Laura Mariën, Caro De Weerdt, Sanne Wouters, Laure‐Anne Teuwen, Hans Prenen, Katleen Janssens, Timon Vandamme   +7 more
wiley   +1 more source

Comparison Strawberry Field Production and Occurrence of Grey Mould at Strawberry Growing on System with Addition of Apple Tree Woody Chips

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2017
In the years 2014 to 2016 the influence of apple tree wood chips and composted apple tree wood chips in which oyster mushroom grew and yielded which were supplemented into soil on strawberry field production and occurrence of grey mould at strawberry (cv.
David Novotný, Jana Brožová, Pavla Růžičková, Josef Sus, Martin Koudela, Ivan Jablonský   +5 more
doaj   +1 more source

Using cell‐free RNA to identify B‐ and T‐cell clonality for diagnosis and monitoring of B‐ and T‐cell neoplasms

FEBS Open Bio, EarlyView.
Using peripheral blood for determining B‐cell or T‐cell clonality is more reliable when we use cell‐free RNA (cfRNA) because cells release blood significantly more RNA than DNA. Next‐generation sequencing (NGS) of cfRNA allows us to evaluate fragment cfRNA and evaluate clonality reliably without the need for prior determination of the specific dominant
Adam Albitar, Sally Agersborg, Ahmed Charifa, Pooja Phull, Noa Biran, David Vesole, Harsh Parmar, Andrew Pecora, Andrew Ip, Andre Goy, David Siegel, Maher Albitar   +11 more
wiley   +1 more source

Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy

Advanced Engineering Materials, EarlyView.
Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang, Jianxiang Zhao, Zhaoqi Chen, Hao Gong, Yinsen Yan, Junlei Tao, Yong Yang   +6 more
wiley   +1 more source

Using wood chips as mulch [PDF]

, 1995
Charles W. Marr and Robert I.
Marr, Charles W., Neier, Robert I.
core  

Microbial representation from the decomposing poplar wood chips.

, 2012
Microbial representation from the decomposing poplar wood chips.
Shi-You Ding (163238), Michael E. Himmel (122193), Sean M. McCorkle (163224), Safiyh Taghavi (163218), Denise Monteleone (163232), William S. Adney (163240), Daniel van der Lelie (163216), Stephanie A. Malfatti (124718), Bryon S. Donohoe (163236), Luen-Luen Li (163228), Susannah G. Tringe (43680)   +10 more
core   +1 more source

Comparison of energy-wood and pulpwood thinning systems in young birch stands [PDF]

, 2011
In early thinnings, a profitable alternative to pulpwood could be to harvest whole trees as energy-wood. In theoretical analyses, we compared the extractible volumes of energy-wood and pulpwood, and their respective gross values in differently aged ...
Kroon, Anders, Dan Bergström, Tomas Nordfjell, Fulvio Di Fulvio, Bergström, Dan, Anders Kroon, Nordfjell, Tomas, Di Fulvio, Fulvio, Di Fulvio, Fulvio,, Sveriges lantbruksuniversitet., Swedish University of Agricultural Sciences., Nordfjell, Tomas,, Bergström, Dan,   +12 more
core   +1 more source

Investigation of Resonance Characteristics of More Than 10 000 Metal‐Coated Silicon MEMS Cantilevers Using Machine Learning

Advanced Engineering Materials, EarlyView.
More than 10 000 metal‐coated silicon MEMS cantilevers are fabricated and characterized to build a large‐scale experimental dataset spanning multiple vibrational modes. Machine learning algorithms are benchmarked to predict resonance frequency and quality factor, with ensemble based models achieving accuracy approaching experimental uncertainty.
Sina Zare Pakzad, Saurabh Thorat, Andre Loch Gesing, Dominik Huber, Christopher Zellner, Patrick Egger, Georg Pfusterschmied, Ulrich Schmid, Michael Schneider   +8 more
wiley   +1 more source

Phytosanitary risks of wood chips [PDF]

, 2010
This report describes the potential risks of spreading harmful pests and diseases by wood chips. Wood chipping is used as a measure against spread of certain harmful insects in wood, but is not effective to prevent spread of bacterial, fungal and viral ...
Moraal, L.G., Kopinga, J., Clerkx, A.P.P.M., Verwer, C.C.   +3 more
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