Results 41 to 50 of about 8,371,130 (235)
Rainfall Shapes the Diversity of Soil Nitrogen‐Fixing Microorganisms Worldwide
This study reveals the distinctive pattern and mechanism of rainfall driving the global biodiversity and biogeography of soil potential N‐fixing microorganisms, and constructs the theoretical framework. The results guide us on how to maintain ecosystem productivity under future climate changes (e.g., whether a specific region needs more N fertilizers ...
Bin Hua +18 more
wiley +1 more source
A unified time‐series forecasting framework learns transferable battery capacity‐degradation patterns from 20 heterogeneous datasets spanning chemistries, formats, temperatures, and cycling conditions. A single model delivers competitive predictions on both known and previously unseen datasets, while physics‐guided representation learning improves ...
Joey Chan +8 more
wiley +1 more source
Low latency carbon budget estimates for July 2024–June 2025 combine atmospheric CO2 growth rates, fossil emissions, ocean uptake, DGVM land fluxes, and OCO‐2 inversions. The budget shows that late‐2024 land carbon losses dominate the annual anomaly, while early‐2025 recovery differs between bottom‐up models and top‐down inversions, especially in ...
Piyu Ke +32 more
wiley +1 more source
Tail risk of hedge funds: an extreme value application [PDF]
1.1 Problem description Investors seek to maximise returns and to minimise risk. As risk is man- ageable but returns are not, these objectives can best be achieved through risk measurement/management techniques.
Gawron, Gregor Aleksander
core +1 more source
Quantum‐Trained AI Enables Inverse Design of Organic Frontier Orbitals at Billion‐Scale
Quantum‐trained AI links molecular substructures to frontier‐orbital energetics and enables interpretable screening across nearly one billion GDB‐13 molecules. By combining fragment‐ and ring‐level insights with donor–acceptor energy alignment against ITIC, the framework narrows an immense chemical space to a small set of promising candidates and ...
Yeongnam Ko, Se Jin Kim, Ki Chul Kim
wiley +1 more source
MXene‐Based Room‐Temperature NO2 Gas Sensors: A Meta‐Analysis
This study presents the first comprehensive meta‐analysis of MXene‐based NO2 sensors, decoding 32 study characteristics across 61 peer‐reviewed studies. By isolating materials chemistry as the primary performance driver over device‐level parameters, the authors establish a methodological blueprint and a predictive structure–function map to accelerate ...
Alexander Khort +3 more
wiley +1 more source
To systematically explore the variation characteristics of annual precipitation and the interaction between different river basins in Liaoning Province, this study employed multiple scientific methods including linear trend estimation and wavelet ...
YE Tianshu
doaj +2 more sources
Seeing the Chemistry of Biomolecular Condensates: In Situ Mapping of Composition and Water Content
Raman hyperspectral imaging combined with spectral phasor analysis enables a label‐free quantification of proteins, polymers and water density within individual biomolecular condensates. By transforming complex vibrational fingerprints into intuitive compositional maps, the approach reveals the high water content and structural heterogeneity of ...
E. Sabri +3 more
wiley +1 more source
Non-Parametric Inference for Bivariate Extreme-Value Copulas [PDF]
Extreme-value copulas arise as the possible limits of copulas of componentwise maxima of independent, identically distributed samples.The use of bivariate extreme-value copulas is greatly facilitated by their representation in terms of Pickands ...
Segers, J.J.J.
core
Accounting for choice of measurement scale in extreme value modeling [PDF]
We investigate the effect that the choice of measurement scale has upon inference and extrapolation in extreme value analysis. Separate analyses of variables from a single process on scales which are linked by a nonlinear transformation may lead to ...
J. A. Tawn +8 more
core +2 more sources

