Results 151 to 160 of about 6,062,625 (214)

Characterization of a Purine Nucleoside Phosphorylase From Colwellia sp. WH041 for Multienzyme Synthesis of Nucleoside Analogs. [PDF]

Chembiochem
Wang S, Zhang Y, Yang F, Chen F, Shao X, Liu G, Wu B.   +6 more
europepmc   +1 more source

Revealing Dust Source Changes in East Asia From Past to Future: An Interpretable Deep Learning Approach

Land Degradation &Development, EarlyView.
ABSTRACT Aeolian dust source areas are controlled by climate and human activities and are closely associated with land degradation, yet their long‐term evolution under global warming remains insufficiently quantified. An integrated framework that couples a U‐Net segmentation model with Shapley Additive Explanations (SHAP) was built to map and attribute
Yanyu Li, Qizhong Wu, Xueshun Chen, Jiang Yue, Jieying He, Huaqiong Cheng   +5 more
wiley   +1 more source

Band gap engineering in Al, Cu, N and Al/Cu Co-doped ZnO thin films: experimental study and quantum machine learning prediction. [PDF]

Sci Rep
Shayegan AHS, Dejam L.
europepmc   +1 more source

Differences in Dust Emission and Near‐Surface Transport Patterns Among Three Surface Substrate Types

Land Degradation &Development, EarlyView.
ABSTRACT Soil wind erosion is a major driver of atmospheric dust emissions and land degradation. Many studies have examined dust release from different substrates, but differences in methods and units still limit quantitative understanding of how surface conditions and wind jointly control dust emission and near‐surface transport. A closed‐circuit wind
Ruochen Jia, Chaoqun Ba, Jinlei Zhu, Wennong Kuang, Lu Zong, Fang Liu, Yuting Liu, Minghu Liu, Zhiming Xin, Zhimin Liu   +9 more
wiley   +1 more source

Flow cytometric phytoplankton concentration and optical properties across instruments and laboratories

Limnology and Oceanography: Methods, EarlyView.
Abstract Flow cytometry measures the optical properties of individual cells and has become essential for enumerating and characterizing marine phytoplankton. Yet systematic comparison of measurements across instruments remains limited, hampering data comparison across laboratories and long‐term time series.
Francois Ribalet, Anne W. Thompson, E. Virginia Armbrust, Raffaella Casotti, Josep M. Gasol, Emily Peacock, Massimo C. Pernice, Nicole J. Poulton, Heidi M. Sosik, Angelicque E. White, Zackary Johnson   +10 more
wiley   +1 more source

Blockchain-Backed Revocation and Yang-Baxter Consistency Screening for Zero-Trust IoT Admission Control. [PDF]

Sensors (Basel)
Rivera-Julio YE, Leal-Narváez EA, Tejedor JP.   +2 more
europepmc   +1 more source

Calibration‐Free Single‐Frame Super‐Resolution Fluorescence Microscopy

Laser &Photonics Reviews, EarlyView.
A deep learning framework reconstructs super‐resolved fluorescence images from a single dense camera frame, without any prior calibration or knowledge of the microscope. Trained solely on synthetic data, it generalizes across imaging setups and conditions.
Anežka Dostálová, Dominik Vašinka, Robert Stárek, Miroslav Ježek   +3 more
wiley   +1 more source

Quantum bioinformatics: a systematic review of methods, trends, and challenges. [PDF]

Brief Bioinform
Khalaj M, Rayan S, Jin L.
europepmc   +1 more source

Computational Thermodynamic Design of Nb–Mo‐Based Refractory Multi‐Principal Element Alloy for Hydrogen Energy Storage

MetalMat, EarlyView.
Through the use of thermophysical parameter analysis, CALPHAD‐based thermodynamic modeling, and open‐source pressure–composition–temperature (PCT) simulations, Al3Nb60Mo20V16Cr1 was discovered to be a BCC refractory multi‐principal element alloy (RMPEA) with ideal stability for solid‐state hydrogen storage.
Abidemi Adeyoye, Patricia Popoola, Olawale Popoola, Samson Adeosun, Modupeola Dada   +4 more
wiley   +1 more source

Simulation-based inference captures non-Markovian effects as exemplified in protein production kinetics through cell division. [PDF]

Proc Natl Acad Sci U S A
Pessoa P, Martinez JA, Vandenbroucke V, Delvigne F, Pressé S.   +4 more
europepmc   +1 more source