Meta‐Rod Mechanical Metamaterials With Programmable Reconfiguration
Existing mechanical metamaterials achieve programmable large deformations in planar square or cubic configurations, restricted by required complex boundary conditions. This research proposes a 1D metamaterial, Meta‐rod, with linear, bending, twisting, area, and volume deformation modes.
Atharva Pande, Lyes Kadem, Hang Xu
wiley +1 more source
Machine learning framework for mRNA alternative splicing analysis identifies a signature of progression in colorectal adenocarcinoma. [PDF]
Maimekov U +8 more
europepmc +1 more source
Ferroelectricity in Antiferromagnetic Wurtzite Nitrides
We establish MnSiN2${\rm MnSiN}_2$ and MnGeN2${\rm MnGeN}_2$ as aristotypes of a new multiferroic wurtzite family that simultaneously exhibits ferroelectricity and antiferromagnetism with altermagnetic spin splitting. By strategically substituting alkaline‐earth metals, we predict new materials with coexisting switchable polarization, spin texture, and
Steven M. Baksa +3 more
wiley +1 more source
Integrating bulk, single-cell, and spatial transcriptomics to identify a novel pyroptosis-related gene signature for predicting prognosis and tumor immune landscape in triple-negative breast cancer. [PDF]
Xiang L +10 more
europepmc +1 more source
Imaging of Biphoton States: Fundamentals and Applications
Quantum states of two photons exhibit a rich polarization and spatial structure, which provides a fundamental resource of strongly correlated and entangled states. This review analyzes the physics of these intriguing properties and explores the various techniques and technologies available to measure them, including the state of the art of their ...
Alessio D'Errico, Ebrahim Karimi
wiley +1 more source
Tumor lactate metabolism shapes immune suppression and therapeutic resistance revealed by integrative multi-omics and digital pathology. [PDF]
Feng B +5 more
europepmc +1 more source
Ultrafast dynamic stark shift of an exciton-polariton condensate. [PDF]
Feldman S +7 more
europepmc +1 more source
Pitfalls in analysis and interpretation of single-cell RNA-seq data in cancer. [PDF]
Tirosh I.
europepmc +1 more source

