Results 131 to 140 of about 217,775 (241)

Comment on: “Angle Kappa is Not Correlated with Patient-Reported Outcomes After Multifocal Lens Implantation” [Letter]

Clinical Ophthalmology
Avi Wallerstein,1,2,* Chelsea Ridgway,2,3,* Mathieu Gauvin1,2,* 1Department of Ophthalmology and Visual Sciences, McGill University, Montreal, QC, Canada; 2Lasik MD, Montreal, QC, Canada; 3School of Medicine, University of Montreal, Montreal,
Wallerstein A, Ridgway C, Gauvin M
doaj  

Low‐Field Giant Dielectric Tunability by Polaron‐Mediated Interfacial Polarization in Pulsed‐Laser‐Deposited‐Nanocrystalline/Amorphous Composite BaTiO3 Thin Films

Advanced Electronic Materials, EarlyView.
Comparison of tunability efficiency between vacuum‐deposited PLD‐BTO films grown at Td = 550°C in the present study and representative previous reports. ABSTRACT Electrically tunable dielectric thin films are essential components for next‐generation low‐voltage electronic devices.
Shinya Kondo, Taichi Murakami, Loick Pichon, Joël Leblanc‐Lavoie, Takashi Teranishi, Akira Kishimoto, Tomoaki Yamada, My Ali El Khakani   +7 more
wiley   +1 more source

Deployment of AI-driven automated quality control of whole-slide images in a large tertiary cancer center. [PDF]

J Pathol Inform
Gelfant K, Manzo A, Alam S, Rahman MM, Bilal KH, Brahmabhatt R, Nayak S, Singhal N, Joshi D, Stamelos E, Ahmed I, Alarcon J, Pasricha M, Pirgousis M, Ntiamoah P, Dogan A, Reuter VE, Hameed M, Ardon O.   +18 more
europepmc   +1 more source

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin, Jackson K. Flowers, Tobias H. Piotrowiak, Frederic Felsen, Leon Merker, Alfred Ludwig, Dominic Bresser, Helge Sören Stein   +7 more
wiley   +1 more source

DeepDOX1: A Dual-Drive Framework Integrating Deep Learning and First-Principles Quantum Chemistry for Drug-Protein Affinity Prediction. [PDF]

JACS Au
Liu Z, Sun H, Wang Y, Ren Y, Rao L, Huang Z, Cao H, Hu X, Zhu X, Li M, Wan J.   +10 more
europepmc   +1 more source

Improving the Physicochemical Properties, Organic Acids, Amino Acids, Volatile Organic Compounds, and Metabolites of Laohan Melon Juice Through Fermentation With Different Lactic Acid Bacteria

AgriFood: Journal of Agricultural Products for Food, EarlyView.
Fermentation with lactic acid bacteria could improve amino acids, volatile organic compounds (VOCs), and nonvolatile metabolites of Laohan melon juice (LMJ), which provides theoretical guidance for the development of Laohan melon beverage and advances knowledge of the metabolic mechanisms of VOCs in LMJ.
Yun Xie, Sihan Hou, Mingdong Tan, Jianqiao Jiang, Yue Hu, Yiwen Chen, Yongkang Li, Miao Cui, Jianming Niu, Weidong Cheng, Xilei Pu, Yuyun He, Feifei Gao   +12 more
wiley   +1 more source

Staging an Experience of Cultural Heritage Preservation: Consumers' Willingness to Pay for Heirloom Rice in the Philippines

Agribusiness, EarlyView.
ABSTRACT The Cordillera Administrative Region in the Philippines is home to terraced rice embedded in centuries of cultural heritage. However, weak market incentives threaten sustained production, jeopardizing indigenous communities' cultural heritage and the in situ biodiversity of rice genetic resources.
Kofi Britwum, Matty Demont
wiley   +1 more source

Sentinel monitoring for resistance to Bt toxins in European corn borer (Lepidoptera: Crambidae) in Canada. [PDF]

J Econ Entomol
Smith JL, Farhan Y, Wells J, Congdon C, Saguez J, Byker H, Gavloski J, Kelly J, Dively G.   +8 more
europepmc   +1 more source

International Interests in Mobile Equipment: A Transnational Juridical Concept [PDF]

Bond Law Review
Sir Roy Goode QC
doaj  

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source