Works matching IS 00183830 AND DT 2023 AND VI 77 AND IP 5
Results: 9
Frontmatter.
- Published in:
- Holzforschung: International Journal of the Biology, Chemistry, Physics, & Technology of Wood, 2023, v. 77, n. 5, p. i, doi. 10.1515/hf-2023-frontmatter5
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- Article
Effect of pressurized hot water extraction on the resistance of Scots pine sapwood against mould fungi.
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- Holzforschung: International Journal of the Biology, Chemistry, Physics, & Technology of Wood, 2023, v. 77, n. 5, p. 348, doi. 10.1515/hf-2022-0190
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Wood color modification with iron salts aqueous solutions: effect on wood grain contrast and surface roughness.
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- Holzforschung: International Journal of the Biology, Chemistry, Physics, & Technology of Wood, 2023, v. 77, n. 5, p. 356, doi. 10.1515/hf-2022-0189
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The influence of transition metal ions on the oxidation of kraft pulp using hydrogen peroxide under mildly acidic conditions.
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- Holzforschung: International Journal of the Biology, Chemistry, Physics, & Technology of Wood, 2023, v. 77, n. 5, p. 318, doi. 10.1515/hf-2022-0184
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Durability of Hinoki (Chamaecyparis obtusa) stained wood following Anaglyptus subfasciatus infestation.
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- Holzforschung: International Journal of the Biology, Chemistry, Physics, & Technology of Wood, 2023, v. 77, n. 5, p. 378, doi. 10.1515/hf-2022-0183
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3D characterization of vascular bundle in moso bamboo node and its effect on compressive properties.
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- Holzforschung: International Journal of the Biology, Chemistry, Physics, & Technology of Wood, 2023, v. 77, n. 5, p. 368, doi. 10.1515/hf-2022-0177
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Native state of wood cellulose: evidence that further supports its non-crystalline nature.
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- Holzforschung: International Journal of the Biology, Chemistry, Physics, & Technology of Wood, 2023, v. 77, n. 5, p. 305, doi. 10.1515/hf-2022-0176
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Isolation and purification of high-molecular weight hemicelluloses from radiata pine wood chips prior to thermo-mechanical pulp (TMP) production.
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- Holzforschung: International Journal of the Biology, Chemistry, Physics, & Technology of Wood, 2023, v. 77, n. 5, p. 338, doi. 10.1515/hf-2022-0157
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Building machine learning models to identify wood species based on near-infrared spectroscopy.
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- Holzforschung: International Journal of the Biology, Chemistry, Physics, & Technology of Wood, 2023, v. 77, n. 5, p. 326, doi. 10.1515/hf-2022-0122
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- Article