SuperResNET is a powerful integrated software that reconstructs network architecture and molecular distribution of subcellular structures from single molecule localization microscopy datasets. SuperResNET segments the nuclear pore complex and corners, extracts size, shape, and network features of all segmented nuclear pores and uses modularity analysis
Yahongyang Lydia Li +6 more
wiley +1 more source
Epoxide monomers undergo base‐catalyzed ring‐opening copolymerization with elemental sulfur to afford sulfur‐rich polymers under mild conditions. The resulting materials exhibit excellent mechanical performance, strong adhesion (up to 10 MPa on stainless steel), and outstanding reprocessability.
Pan Yang +5 more
wiley +2 more sources
Investigation of the multifactorial regulatory mechanisms underlying compositional changes in recurrent urinary stones and development of a machine learning-based personalized predictive model. [PDF]
Maimaiti M +4 more
europepmc +1 more source
Ising Solver Using Vertical NAND Flash Memory
Commercial V‐NAND flash memory is repurposed as a discrete‐time Ising solver by exploiting in‐memory current summation and read‐voltage‐controlled intrinsic noise. The system implements Hopfield neural‐network updates with simulated‐annealing‐like behavior, solving max‐cut problems with high accuracy and energy efficiency while using mass‐produced ...
Sung‐Ho Park +7 more
wiley +1 more source
Impact of multiple air pollutants on probable sarcopenia in the UK population: the mediating role of physical activity and biological aging. [PDF]
Gao J +7 more
europepmc +1 more source
Robust Representation Learning for Clean Feature Discovery in Incomplete Multi‐View Clustering
Robust feature discovery in incomplete multi‐view clustering is achieved by coupling RPCA‐based clean representation recovery with neural‐network‐assisted graph learning. The resulting RIMVC framework constructs cleaner and more discriminative graph‐structured representations from incomplete and noisy multi‐view data, improving clustering robustness ...
Ping Hu +4 more
wiley +1 more source
Evaluating global measures of network centralization: Axiomatic and numerical assessments. [PDF]
Saberi M, Aref S.
europepmc +1 more source
ABSTRACT The detection and classification of diseases have become a field of interest for artificial intelligence in recent years, where the development of methods and models that allow support for specialists in different health fields has allowed early detection of diseases and the provision of timely treatment to patients.
Rodrigo Cordero‐Martínez +2 more
wiley +1 more source
Real-world efficacy of Bruton tyrosine kinase inhibitor based maintenance therapy in diffuse large B-cell lymphoma: a multicenter retrospective cohort study with external historical control. [PDF]
Lyu LW +8 more
europepmc +1 more source
Objective Spinal muscular atrophy (SMA) is caused by deletions or mutations in the survival motor neuron 1 (SMN1) gene and subsequent reduction in the expression of survival motor neuron (SMN) protein. The disease is characterized by degeneration of α motor neurons and subsequent muscle atrophy.
Emma R. Sutton +4 more
wiley +1 more source

