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Impact of temperature and tree moisture content on evolution characteristics of transition resistance of tree-contact single-phase-to-ground fault in distribution network

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Impact of temperature and tree moisture content on evolution characteristics of transition resistance of tree-contact single-phase-to-ground fault in distribution network

HE Jianbo et al · Harbin Jinhe Electrical Measurement & Instrumentation Magazine Publishing Co., Ltd · 2026 · ISSN 1001-1390

The occurrence of tree-contact single-phase-to-ground fault (TSF) poses a potential threat to the stable operation of power lines, and in severe cases, may result in wild fire. The development of TSF is influenced by cru...

LCC TENDOkluc3RydW1lbnRzIGFuZCBtYWNoaW5lcw~~; LCC:Electrical engineering. Electronics. Nuclear engineering; TENDOlNjaWVuY2U~Idioma zho

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Dynamic response characteristics and failure mechanism of coal-rock combination under different immersion conditions

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Dynamic response characteristics and failure mechanism of coal-rock combination under different immersion conditions

Xiangyang ZHANG et al · Editorial Office of Coal Geology & Exploration · 2026 · ISSN 1001-1986

BackgroundIn practical engineering, the waterproof coal pillar usually suffers from different degrees of dynamic load from the overlying strata, and its internal water distribution is non-uniform. Although the traditiona...

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Determination of dihydroquercetin in cocoa products by high performance liquid chromatography

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Determination of dihydroquercetin in cocoa products by high performance liquid chromatography

ZHANG Shuang et al · The Editorial Office of Chinese Journal of Food Hygiene · 2025 · ISSN 1004-8456

ObjectiveIn the experiment，using liquid-liquid extraction solid-phase extraction method to remove fat content and interfering impurities from cocoa products，establishing a high performance liquid chromatography metho...

LCC TENDOkZvb2QgcHJvY2Vzc2luZyBhbmQgbWFudWZhY3R1cmU~; LCC:Nutrition. Foods and food supplyIdioma zho

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Machine learning-based prediction and experimental validation of the pyrolysis product distribution in tar-rich coals

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Machine learning-based prediction and experimental validation of the pyrolysis product distribution in tar-rich coals

Shuai DONG et al · Editorial Office of Coal Geology & Exploration · 2026 · ISSN 1001-1986

BackgroundTar-rich coals serve as an important coal-based oil and gas resource in China, while their pyrolysis product distribution is governed by the coupling effects of coal properties and reaction conditions. Therefor...

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