Results 61 to 70 of about 37,367 (244)

Rethinking the AI Paradigm for Solubility Prediction of Drug‑Like Compounds with Dual‐Perspective Modeling and Experimental Validation

Advanced Science, EarlyView.
Aqueous solubility governs drug delivery and bioavailability, yet its prediction remains challenging. Utilizing the largest curated dataset of drug‐like molecules, prediction models are constructed through dual‐perspective benchmarking. Stacking methods outperform advanced deep learning due to data constraints. These validated models enabled systematic
Qilin Zhu, Yuxin Qiu, Guzhong Chen, Wenyao Chen, Xiang Zhang, Zhiwen Qi, Xuezhi Duan, De Chen, Zhen Song   +8 more
wiley   +1 more source

Difference in clinical crown length of maxillary central incisors and gingival display at rest and during smiling based on gender

Padjadjaran Journal of Dentistry, 2013
Introduction: The aim of the present study was to investigate the effect of gender on the degree of maxillary central incisors and associated gingival display when the lips are at rest and during smiling. Methods: A total of 65 subjects (40 females [61.5%
Nadia Atina Zaini, Rasmi Rikmasari, Lisda Damayanti   +2 more
doaj   +1 more source

Li/Al‐LDH Reinforced Polyacrylamide/Xanthan Gum Semi‐Interpenetrating Network Nano‐Conductive Hydrogels for Stress Sensing and Wearable Device Applications

Advanced Science, EarlyView.
PXL hydrogel is prepared by in situ polymerization of acrylamide (AM) between Li/Al‐LDH nanosheets and forming a semi‐interpenetrating network structure with xanthan gum (XG). The in situ polymerization of AM ensures the uniform distribution of Li/Al‐LDH within the hydrogel network.
Zhiwei Hu, Tuo Li, Yong Zheng, Shengxi Chen, Tong Wan, Hamdy Khamees Thabet, Zeinhom M. El‐Bahy, Dalal A. Alshammari, Hanhui Lei, Liqiang Chu, Yunlong Sun, Yaohui Guo, Yizhou Yang, Terence Xiaoteng Liu, Dapeng Cui, Zhanhu Guo, Huige Wei   +16 more
wiley   +1 more source

The Relationship Between Smile Type, Dental Composition, and Personality Traits in Young Adults

Galician Medical Journal
Introduction. This study investigates the complex interplay between dental compositions, smile styles, and personality traits in young adults seeking oral and dental care, guided by the Visagism paradigm. Methods. A total of 150 young adult volunteers
Meltem Tekbaş-Atay, Mediha Büyükgöze-Dindar   +1 more
doaj   +1 more source

Inverse Design of Metal‐Organic Frameworks for CH4/N2 Separation Enabled by Coupled Machine Learning and Genetic Algorithms

Advanced Science, EarlyView.
A machine learning‐guided genetic algorithm is employed to explore metal‐organic frameworks (MOFs) for CH4/N2 separation. By combining predictive modeling with adaptive evolution, the approach identifies high‐selectivity candidates featuring fsc topologies and polycyclic ligands, offering an efficient route to discovering high‐performance separation ...
Wenxuan Li, Xiaonan Zhang, Hao Guo, Lingchuan Li, Lifeng Ding, Qingyuan Yang   +5 more
wiley   +1 more source

Performance Rate Analysis in Photovoltaic Solar Plants by Machine Learning

Advanced Energy and Sustainability Research, EarlyView.
Thermal imaging and deep learning are combined to detect faults in photovoltaic panels inspected by autonomous vehicles. A robust pipeline classifies panel defects from aerial thermograms using a convolutional neural network, supporting both real‐time and offline analysis.
Alba Muñoz del Rio, Isaac Segovia Ramírez, Fausto Pedro García Márquez   +2 more
wiley   +1 more source

Disentangling the relationships between denomination of origin regulatory councils activities and Spanish wineries' export performance

Agribusiness, EarlyView.
Abstract World markets for quality differentiated agri‐food products are highly competitive, presenting significant challenges for firms aiming to compete effectively. Government agencies and business organizations often implement various export promotion policies to address these challenges.
Nicolás Depetris‐Chauvin, Marta Fernández‐Olmos   +1 more
wiley   +1 more source

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

The Nature of the Smile and Laugh [PDF]

, 1900
George Van Ness Dearborn
openalex   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source