Results 161 to 170 of about 2,041,133 (244)

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

AS‐pHopt: An Optimal pH Prediction Model Enhanced by Active Site of Enzymes

Advanced Intelligent Discovery, EarlyView.
To address the low accuracy of enzyme optimal pH (pHopt) prediction, this study develops active site‐based pHopt (AS‐pHopt), a prediction model enhanced by active site information and pseudo‐label prediction. Integrating key structural and physicochemical features affecting enzyme pHopt, AS‐pHopt uses Evolutionary Scale Modeling (ESM)‐2 with active ...
Wenxiang Song, Xinmin Li, Hongbo Yu, Le Xiong, Guixia Liu, Weihua Li, Yun Tang   +6 more
wiley   +1 more source

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

Advanced Intelligent Discovery, EarlyView.
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed, Denis Abu Sammour, Dirk C. Hoffmann, Philipp Sievers, Tobias Bausbacher, Melissa Hahn, Yasemin Ucal, Iris Mildenberger, Christiane A. Opitz, Stefan Schmidt, Michael Platten, Oliver Wasenmüller, Wolfgang Wick, Andreas von Deimling, Tobias Kessler, Carsten Hopf   +15 more
wiley   +1 more source

Fatigue‐Driven Adaptive Assistance for a Semi‐Active Upper‐Limb Occupational Exoskeleton

Advanced Intelligent Systems, EarlyView.
Physical fatigue during a physical activity is estimated in real time to enable adaptive exoskeleton assistance. By continuously adjusting the level of support according to the user’s fatigue, this approach reduces physical demand and provides a pathway toward personalized exoskeleton assistance.
Seemab Zakir, Lorenzo Grazi, Simone Prisinzano, Francesco Giovacchini, Nicola Vitiello, Emilio Trigili, Simona Crea   +6 more
wiley   +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

AI‐Based Mitochondrial Network Characterization as a Biomarker for DNM1L‐Related Disease Diagnosis

Advanced Intelligent Systems, EarlyView.
This work provides proof‐of‐concept that AI‐based analysis of mitochondrial network morphology in patient‐derived fibroblasts can identify a phenotypic signature associated with DNM1L deficiency. This automated approach may ultimately provide a complementary functional readout for the interpretation of novel DNM1L variants following genetic testing ...
Uliana Musokhranova, Ioannis Georvasilis, Sofía Illescas, Matina Saritzoglou, Marcos Frías, Mònica Roldán, Anna Ardissone, Isabella Moroni, Àngels García‐Cazorla, Alfonso Oyarzábal   +9 more
wiley   +1 more source

Performance Evaluation of Super‐Resolution Techniques for Characterization and Phenotyping of Commodity Crops Using Multispectral Imagery

Advanced Intelligent Systems, EarlyView.
This study assesses the suitability and performance of single‐image super‐resolution methods when applied directly, and without any fine‐tuning, to multispectral images of maize and sunflower crops. It evaluates not only super‐resolution performance, but also the preservation of spectral integrity and vegetation‐index reliability. Multispectral imagery
Abhiram Karukayil, João F. C. Mota, Mateo Vásquez‐Guevara, Tito Arevalo‐Ramirez, Fernando Auat Cheein   +4 more
wiley   +1 more source

Accounting for animal health in efficiency analysis: An application to Swedish dairy farms

American Journal of Agricultural Economics, EarlyView.
Abstract Poor animal health is a central concern in modern livestock production. Despite the necessity to incorporate animal health in efficiency analysis, the theoretical and empirical developments are limited on this subject. This article appropriately characterizes the axiomatic properties of animal health within a production framework.
Frederic Ang, Enoch Owusu‐Sekyere, Karin Alvåsen, Helena Hansson   +3 more
wiley   +1 more source

Crop insurance and irrigation behavior: The conditional role of pumping costs

American Journal of Agricultural Economics, EarlyView.
Abstract Excessive water use for irrigation can accelerate the depletion of water resources, undermining agriculture's resilience to weather‐related shocks. Understanding how farmers make water use decisions is essential for developing effective water management policies.
Sungmin Cheu, Molly Sears
wiley   +1 more source

The causal effect of agricultural landscape simplification on Germany's grasslands during a compound drought and heatwave in 2018

American Journal of Agricultural Economics, EarlyView.
Abstract Preserving ecosystem services, along with economic and environmental benefits, will require future landscape policies to identify and incorporate relevant landscape features. In this paper, we investigate the causal effect of agricultural landscape simplification on drought‐related grassland damages.
Marco Ferro, Jan Börner, Silke Hüttel, Katja Kowalski, Patrick Hostert, Krisztina Kis‐Katos   +5 more
wiley   +1 more source