Results 201 to 210 of about 4,039 (303)

Mapping the “Supply–Demand–Flow” of Ecosystem Services for Ecosystem Management in China

open access: yesAdvanced Science, EarlyView.
This study develops a “supply–demand–flow” framework clarifies how ecosystem services move between regions by distinguishing potential and actual supply and demand. Using integrated biophysical–socioeconomic modeling, nine services in China were mapped.
Yikun Zhang   +3 more
wiley   +1 more source

Evaluating machine learning models for predictive accuracy in cryptocurrency price forecasting. [PDF]

open access: yesPeerJ Comput Sci
Qureshi SM   +6 more
europepmc   +1 more source

Miniaturized Bidirectional Thermal Stimulation System Integrated With an Electrode Array for Recording Neural Activities

open access: yesAdvanced Science, EarlyView.
This study presents a miniaturized bidirectional thermal stimulation system integrated with an electrode array enabling real‐time, bidirectional modulation and simultaneous recording of neural activity through localized heating and cooling. By monolithic integration of the Peltier element and with a silicon neural probe, the innovative system allows ...
Zoia Naumkina   +6 more
wiley   +1 more source

Generative AI‐Driven Accelerated Discovery of Passivation Molecules for Perovskite Solar Cells

open access: yesAdvanced Science, EarlyView.
A generative artificial intelligence (AI) framework combining a discriminative machine learning model (SMILES‐X) and a generative language model (GPT‐2) autonomously discovers new molecular passivators for perovskite solar cells (PSCs). Through an iterative design loop, over 100 000 candidates are generated and screened, and randomly selected molecules
Adroit T. N. Fajar   +7 more
wiley   +1 more source

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

open access: yesAdvanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu   +5 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

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