Results 221 to 230 of about 1,265,495 (296)

SiC resistive X-ray beam monitor for intensity and position control of synchrotron light. [PDF]

J Synchrotron Radiat
Trovato G, La Rosa N, La Via F, Lubeck J, Manno A, Moscato S, Müller M, Camarda M.   +7 more
europepmc   +1 more source

Lumped Circuits Modeling of Dynamic Energy Transfer in Triboelectric Nanogenerators with Nonlinear Electromechanical Coupling

Advanced Energy Materials, EarlyView.
This work presents a lumped electromechanical model that identifies resonance, impedance matching, and structural dynamics as key determinants of energy transfer in triboelectric nanogenerators. Experimentally validated across mechanically distinct devices, the framework also shows that excitation‐dependent responses enable simultaneous energy ...
Sajib Roy, Bhaskar Dudem, Md Delowar Hussain, S Ravi P Silva   +3 more
wiley   +1 more source

Occult Esophageal Squamous Cell Carcinoma Presenting as Bone-Predominant Carcinoma of Unknown Primary: A Case Report of a p40-Negative Vertebral Metastasis. [PDF]

Diagnostics (Basel)
Brim H, Bajwa W, Brim A, Aduli F, AbdelLatief A, Zafar R, Laiyemo AO, Ashktorab H.   +7 more
europepmc   +1 more source

Real‐Time Multicolor Fluorescence Microscopy via Cross‐Channel Acquisition and Deep‐Learning‐Based Inference

Advanced Intelligent Discovery, EarlyView.
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto, Yuxin Jin, Nicholas Roy, Sarthak Misra   +3 more
wiley   +1 more source

Current status, evidence maturity, and translational readiness of artificial intelligence in dentistry: a bibliometric and thematic analysis. [PDF]

BDJ Open
Abd Rahim IN, Omar N, Zakaria N, Zulkapli R, Ahmad R, Kamar Affendi NH, Mohammad N, Mohd Rosli M, Wan Mokhtar I, Rizwal AA, Mohd Yusof MYP.   +10 more
europepmc   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

Advanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer, Muhammad Nabeel Asim, Shan Munir, Andreas Dengel   +3 more
wiley   +1 more source

Wavefront sensing at a high-repetition-rate X-ray free-electron laser. [PDF]

J Synchrotron Radiat
Guest T, Vagovič P, Adriano L, Bielecki J, Birnsteinova S, Graceffa R, Koliyadu J, Morgan K, Moriyama H, Mosko D, Riessen GV, Sabol K, Sato T, Szeles P, Taylor Z, Uličný J, Bean R, Mancuso AP, Abbey B.   +18 more
europepmc   +1 more source

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

Advanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source

Does Cone-Beam Computed Tomography Provide Additional Benefit to Periodontal Infrabony Defect Topography Assessment? A Multi-Centre Case-Based Questionnaire. [PDF]

Dent J (Basel)
Sung ND, Chen TSN, Fok MR, Tarce M, Loke J, Nibali L, Castro A, Pelekos G.   +7 more
europepmc   +1 more source

Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning

Advanced Intelligent Discovery, EarlyView.
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang, Yongqing Zhang, Xinyu Deng, Hyeon Jeong Lee, Delong Zhang   +4 more
wiley   +1 more source