Results 111 to 120 of about 177,797 (288)

Automatic Determination of Quasicrystalline Patterns from Microscopy Images

Advanced Intelligent Discovery, EarlyView.
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender, Marco Corrias, Cesare Franchini   +2 more
wiley   +1 more source

The Role of Chemistry Across Disciplines From Humanities to Life Sciences in Understanding Complexity and Emergence

Angewandte Chemie, EarlyView.
This study explores the origins of life by linking prebiotic chemistry, the emergence of information‐carrying molecules such as RNA and proteins, and philosophical questions about consciousness. The study emphasizes the role of molecular evolution in the Central Dogma and provides insights into the chemical origins of biology and the basis of life's ...
Harald Schwalbe, Josef Wachtveitl, Alexander Heckel, Florian Buhr, Sabrina Toews, Thomas M. Schimmer   +5 more
wiley   +2 more sources

Paving the Road to the Habitable Worlds Observatory with High-resolution Imaging. I. New and Archival Speckle Observations of Potential HWO Target Stars

The Astronomical Journal
One of the key goals of the Habitable Worlds Observatory (HWO) is to directly image about 25 potentially habitable exoplanets and determine their properties.
Zachary D. Hartman, Catherine A. Clark, Michael B. Lund, Kathryn V. Lester, José A. Caballero, Steve B. Howell, David Ciardi, Sarah Deveny, Mark E. Everett, Elise Furlan, Venu Kalari, Colin Littlefield, Andrew W. Stephens, Jennifer A. Burt, Guillaume Huber, Rachel Matson, Eric E. Mamajek, Noah Tuchow   +17 more
doaj   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Visualizing and Quantifying microRNA‐Induced DNA Origami Separation at the Nanoscale

Angewandte Chemie, EarlyView.
Clinically relevant miRNA biomarkers trigger the disassembly of DNA origami dimers into monomers through a toehold‐mediated strand displacement reaction. High‐speed AFM was used to visualize this reaction in real time, while solid‐state nanopore measurements quantified the populations of dimers and monomers, as well as the resulting miRNA concentration,
Chalmers C. C. Chau, Varun Gupta, George R. Heath, Christoph Wälti, Paolo Actis   +4 more
wiley   +2 more sources

Advanced Experiment Design Strategies for Drug Development

Advanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang, Anthony Harker, Mohan Edirisinghe, Maryam Parhizkar   +3 more
wiley   +1 more source

Temperature‐Tunable Cholesteric Liquid Crystal Optical Combiners for Extended Reality Applications

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Recent advancements in extended reality highlight their potential to enhance traditional displays like liquid crystal displays and organic light‐emitting diode screens. This article introduces an innovative cholesteric liquid crystal‐based optical combiner for head‐mounted displays, enabling seamless transitions between augmented reality, virtual ...
Yuanjie Xia, Haobo Li, Marija Vaskeviciute, Daniele Faccio, Affar S. Karimullah, Hadi Heidari, Rami Ghannam   +6 more
wiley   +1 more source

Seeking Spectroscopic Binaries with Data-driven Models

The Astrophysical Journal
Data-driven stellar classification has a long and important history in astronomy, dating as far back as Annie Jump Cannon’s “by-eye” classifications of stars into spectral types, still used today.
Isabel Angelo, Erik Petigura, Megan Bedell   +2 more
doaj   +1 more source

Broad Observational Perspectives Achieved by the Accreting White Dwarf Sciences in the XMM-Newton and Chandra Eras

Universe
Accreting white dwarf binaries (AWDs) comprise cataclysmic variables (CVs), symbiotics, AM CVns, and other related systems that host a primary white dwarf (WD) accreting from a main sequence or evolved companion star.
Şölen Balman, Marina Orio, Gerardo J. M. Luna   +2 more
doaj   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source