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2026-04-02
12:04

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2026-04-02
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2026-03-31
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2026-03-31
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2026-03-31
10:34

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2026-03-30
16:39
DBCoverage [FZJ-2026-02126] Journal Article
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Machine‐Learning Decomposition Identifies a Big Two Structure in Human Personality with Distinct Neurocognitive Profiles
Personality neuroscience has traditionally relied on the Big Five model to investigate trait structure and its relationship to individual differences in brain organization and life outcomes. However, existing theoretical frameworks explain only part of the item-level covariance, raising questions about whether alternative factor solutions might complement the canonical five-factor model. [...]

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2026-03-30
16:34
DBCoverage [FZJ-2026-02125] Journal Article
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Prenatal and early postnatal periods differentially shape the maturation of human cortical microstructure and myelin
PLoS biology 24(3), e3003722 - () [10.1371/journal.pbio.3003722]
During late gestation and early postnatal development a combination of intrinsic and extrinsic factors drive the maturation of the human cortex. This process is regionally heterogeneous, with cortical areas developing at different paces and trajectories. [...]

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2026-03-26
13:06
OpenAccess [FZJ-2026-02118] Journal Article
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Microstructural Evolution in the Stir Zone of a Friction-Stir-Processed Microalloyed Al-Mn-Cu Alloy
Metals 16(3), 358 - () [10.3390/met16030358]
The study investigates the microstructure evolution in the stir zone produced by the friction stir processing (FSP) of a heat-treated microalloyed Al-Mn-Cu alloy in the area subjected to the highest temperature, strain, and strain rate. The samples were studied using electron microscopy and atom probe tomography (APT) to obtain structural and chemical information from the macro to the nano scale. [...]
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2026-03-26
08:34
OpenAccess [FZJ-2026-02108] Journal Article
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Quantifying hydrogen’s role in multi-sector decarbonization using price-elastic demand curves
Green hydrogen is a key component of the transition to greenhouse gas neutrality, but its future uptake is highly sensitive to price dynamics. This study addresses a crucial research gap by quantifying price-elastic hydrogen demand within a greenhouse gas neutral, sector-coupled energy system for Germany. [...]
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2026-03-26
08:32
OpenAccess [FZJ-2026-02107] Journal Article
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Artificial and convolutional neural networks applications to predict heating and cooling loads for residential buildings
In the face of the rapid evolution of artificial intelligence (AI) and the increasing cost of energy in residential buildings, accurately predicting thermal loads has become crucial for sustainable construction practices. We present the use of artificial neural network (ANN) and convolutional neural network (CNN) models to predict the energy efficiency of residential buildings. [...]
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