Results 101 to 110 of about 3,566,037 (267)

Q‐LEAP: Millisecond Hyperdimensional Optimization for Full‐Spectrum Optical Metamaterials

Advanced Science, EarlyView.
Q‐LEAP integrates physics‐informed residual machine learning with factorization‐machine‐encoded quantum annealing to design full‐spectrum optical metamaterials. It explores a 2108 design space and, in a single 2.56 ms annealing step, reaches 85.83% of the theoretical FoM limit, enabling selective 5‐8 µm emission with 3–5 and 8–14 µm suppression and ∼40×
Zikang Guo, Yunwen Wu, Yuhui Guo, Shenghong Ju   +3 more
wiley   +1 more source

Moisture stress of a hydrological year on tree growth in the Tibetan Plateau and surroundings

Environmental Research Letters, 2015
Investigations of climate–growth interactions can shed light on the response of forest growth to climate change and the dendroclimatic reconstructions.
Keyan Fang, David Frank, Yan Zhao, Feifei Zhou, Heikki Seppä   +4 more
doaj   +1 more source

Incorporating Boosted Regression Trees into Ecological Latent Variable Models

, 2011
Important ecological phenomena are often observed indirectly. Consequently, probabilistic latent variable models provide an important tool, because they can include explicit models of the ecological phenomenon of interest and the process by which it is ...
Dietterich, Thomas, Liu, Li-Ping, Hutchinson, Rebecca   +2 more
core   +1 more source

Rhizodeposition Drives One Third of Belowground Carbon Input in Agroecosystems

Advanced Science, EarlyView.
This study quantifies photosynthesized C allocation in the plant–soil system across six crop types: barley, wheat, maize, rice, legumes and grasses. It reports C partitioning into shoot respiration, shoot‐C, root‐C, net rhizodeposition and root‐derived CO2, providing standardized percentage averages and GPP‐derived absolute values as a robust baseline ...
Zhengjun Yan, Yuan Wen, Jie Zhou, Yakov Kuzyakov, Damien Beillouin, Johannes Lehmann, Yadong Yang, Yiqi Luo, Pete Smith, Zhaohai Zeng, Huadong Zang   +10 more
wiley   +1 more source

Comparative Evaluation of Machine Learning Algorithms for Predicting Soil Wetting Front Dynamics Under Drip Irrigation System

Hydrology
Accurate prediction of wetted width and wetted depth is essential for optimizing water use efficiency in drip irrigation systems. Existing empirical models are often restricted to specific soil textures and cannot adequately capture the complex nonlinear
Oluwaseun Temitope Faloye, Oluwaseyi Matthew Abioye, Abiodun Afolabi Okunola, Olusegun K. Abass, Peter Pelumi Ikubanni, Natdanai Sinsamutpadung, Laemthong Laokhongthavorn, Viroon Kamchoom   +7 more
doaj   +1 more source

Relative influence of environmental variables in boosted regression tree models.

, 2015
Relative influence of each environmental variable from three categories (physical, land use and chemical) on the boosted regression tree models predicting taxonomic richness and the main axis of regional faunal composition (Metacom 1) in 168 low-mountain
Jonathan D. Tonkin (729650), Andrea Sundermann (505661), Peter Haase (178579), Sonja C. Jähnig (729651)   +3 more
core   +1 more source

Bias Correction in Logarithmic Regression and Comparison with Weighted Regression for Nonlinear Models [PDF]

, 2011
Non-linear models with heteroscedasticity are commonly used in ecological and forestry modeling, and logarithmic regression and weighted regression are usually employed to estimate the parameters. Using the single-tree biomass data of three large samples,
Wei Sheng Zeng, Shou Zheng Tang
core   +1 more source

Mechanism‐Informed Language Modeling and Oxygenated 3D Screening Identify Berberine–Enzalutamide Synergy in Prostate Cancer Models

Advanced Science, EarlyView.
By integrating knowledge‐augmented artificial intelligence with an oxygen‐supplemented 3D screening platform, a synergistic interaction between berberine and enzalutamide is identified. The framework integrates compound mechanisms of action with disease‐relevant signaling context to prioritize candidate combinations and generate testable pathway‐based ...
Chih‐Hui Lo, Katie Shi, Lina Kafadarian, Alexandra Bermudez, Johnny Diaz, Liam Edwards, Yunqi Hong, Ziyi Chen, Hyeonji Hwang, Weihong Yan, Alan Levinson, Robert Damoiseaux, Cho‐Jui Hsieh, Tanya Stoyanova, Andrew S. Goldstein, Neil Y.C. Lin   +15 more
wiley   +1 more source

Landslide susceptibility mapping using random forest and boosted tree models in Pyeong-Chang, Korea

, 2017
Landslides susceptibility maps were constructed in the Pyeong-Chang area, Korea, using the Random Forest and Boosted Tree models. Landslide locations were randomly selected in a 50/50 ratio for training and validation of the models.
Hyung-Sup Jung, Saro Lee, Sunmin Lee, Jeong-Cheol Kim   +3 more
core   +1 more source

Enriched Soil Organic Carbon Underpins Long‐Term Stable Crop Productivity Across China's Croplands

Advanced Science, EarlyView.
Quantifying the nonlinear relationships and causal effects of soil organic carbon (SOC) on crop stability reveals specific critical thresholds and saturation points. This partitions the national SOC spectrum into three functional phases. Integrating these spatial delineations with high‐resolution maps of marginal gains pinpoints regions with the ...
Yuyang Huang, Yulin Shangguan, Zhongkui Luo, Peng Zhu, David Makowski, Zhenzhong Zeng, Qingxu Ma, Min Wei, Yuanyuan Du, Su Ye, Zhou Shi, Songchao Chen   +11 more
wiley   +1 more source