Results 221 to 230 of about 1,642,949 (300)

Catalyst‐Specialized Chemical Language Model Based on Transformer Variational Autoencoder for Catalyst Design and Discovery

Advanced Intelligent Discovery, EarlyView.
We present CatTransVAE, a catalyst‐specialized chemical language model (CLM) built on a transformer variational autoencoder (VAE), developed through pretraining on general compounds followed by fine‐tuning on diverse catalyst databases. A template‐guided generation framework is introduced to enable controlled catalyst design under structural ...
Apakorn Kengkanna, Masahito Ohue
wiley   +1 more source

Biodiversity buffers forest ecosystems from compound climate extremes. [PDF]

Nat Commun
Qiao X, Zscheischler J, Loreau M, Reich PB, Chen Q, Bahn M, Mohanbabu N, White HJ, Luo M, Wang S.   +9 more
europepmc   +1 more source

Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

Advanced Intelligent Systems, EarlyView.
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha, MD Faiaz Zaman Dehan, Kazi Md. Tanvir Anzum   +2 more
wiley   +1 more source

Influence of Derecho and Management Disturbances on Ground-Dwelling Arthropods. [PDF]

Biology (Basel)
Wilson JE, Marshall JM.
europepmc   +1 more source

Comparative Analysis of Model‐Agnostic Explanation Methods in Materials Science

Advanced Intelligent Systems, EarlyView.
To address the critical lack of explainable artificial intelligence (XAI) benchmarks in materials science, we present a quantitative and qualitative analysis of six XAI methods applied to molecular fingerprints. Our results reveal significant discrepancies in feature importance rankings, demonstrating that the chosen explanation approach introduces ...
Anna Przybyłowska, Joanna Neubauer, Monika Sztuder, Witold Taisner, Agnieszka Hryniewicka, Julia Kolodziejczyk, Marta Eliza Plonska‐Brzezinska, Dariusz Brzezinski   +7 more
wiley   +1 more source

A meta-analysis of carbon losses and gains from tropical moist forest degradation and regeneration. [PDF]

Sci Adv
Heinrich V, Holcomb A, Besnard S, Requena Suarez D, Cook-Patton S, Bourgoin C, Chazdon R, Gibbs DA, Souza Mendes F, McNicol I, Wheeler C, Silva-Junior CHL, Amani BHK, Bastin JF, Besisa Nguba T, Chen N, Chen H, Ciais P, Dalagnol R, Dou X, Duan Q, Gao X, Goodarzi AN, Hérault B, House J, Lapola DM, Liang M, Meng Z, Nabuurs GJ, Poor E, Parsons L, Reiche J, Sitch S, Valbuena R, Welsink AJ, Wiltshire S, Wu C, Xu Y, Zhao J, Aragão L, Herold M.   +40 more
europepmc   +1 more source

A Soft Robotic Finger With Deep Learning‐Enhanced Tactile Sensing for Texture and Softness Recognition

Advanced Intelligent Systems, EarlyView.
Inspired by human touch, a tendon‐driven soft robotic finger combines multimodal tactile sensing and deep learning to simultaneously perceive texture and softness on deformable surfaces. A CNN‐LSTM model fuses pressure, accelerometer, and gyroscope signals to accurately classify material properties, achieving up to 95.4% texture and 97.0% softness ...
Gorkem Anil Al, Arya Shabani, Nicos Hadjigeorgiou, James Fant‐Male   +3 more
wiley   +1 more source

Temporal and Spatial Responses of Chinese Red Pandas to Anthropogenic Disturbance in Meigu Dafengding National Nature Reserve, Sichuan. [PDF]

Ecol Evol
Fu Y, Chen M, Feng B, Duan M, Yang Z, He K, Zhou H.   +6 more
europepmc   +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Adaptive silviculture for climate change in North American forests: Operationalizing the resistance-resilience-transition framework. [PDF]

Ecol Appl
Clark PW, D'Amato AW, Nagel L, Palik BJ, Battaglia MA, Janowiak MK, Peterson CL, Swanston CW, Vicini MR.   +8 more
europepmc   +1 more source