Photoelectric Imaging of the Optically Inactive Charge State of Silicon‐Vacancy Defects in Diamond
Although the doubly negative charge state of the SiV center in diamond is predicted to ionize only in the ultraviolet and is therefore considered optically inaccessible, we demonstrate visible‐range photoelectric imaging enabled by a previously unrecognized regime of laser‐assisted tunneling. ABSTRACT The investigation of optically active point defects
Ilia Chuprina +8 more
wiley +1 more source
Computational blueprint and stereochemical validation of a small peptide derived from <i>Lacticaseibacillus casei</i> VITCM05 targeting estrogen receptor alpha and human epidermal growth factor receptor 2. [PDF]
Shree Kumari GR, Vaithilingam M.
europepmc +1 more source
Lycopene Increases Skeletal Muscle Mass by Promoting Myoblast Differentiation. [PDF]
Wen W +6 more
europepmc +1 more source
Machine Learning of Temperature‐Dependent Chemical Kinetics Using Parallel Droplet Microreactors
An integrated droplet microfluidics and machine learning framework enables high‐throughput characterization of temperature‐dependent reaction kinetics. Time‐resolved measurements from thousands of droplets train Neural ODE models that accurately predict nonlinear reaction dynamics across diverse thermal environments, bridging large‐scale ...
Mamoru Saita, Yutaka Hori
wiley +1 more source
The Role of Sex Hormone Receptors in the Squamous Cell Carcinoma of the Uterine Ectocervix: A Review and Future Directions. [PDF]
Hong MK, Ding DC.
europepmc +1 more source
Advancing Energy Efficiency in Smart Windows via Dual‐Responsive Electro‐Thermochromism
A durable and stable quasi‐solid‐state electro‐thermal dual‐responsive photothermal regulation device has been employed in advanced energy‐efficient smart windows. The devised device not only incorporates a thermochromic hydrogel characterized by high ionic conductivity, high optical transmittance, and a low LCST, but also comprises an electrochromic ...
Tongyu Chen +10 more
wiley +1 more source
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao +6 more
wiley +1 more source
Multidimensional roles and clinical significance of GATA3 in breast cancer. [PDF]
Tan J +7 more
europepmc +1 more source
This study presents BraMARS, an explainable deep learning model that estimates future brain metastasis risk in surgically resected limited‐stage small‐cell lung cancer using routine H&E‐stained whole‐slide images. By linking model‐attributed spatial histopathology with clinical outcomes and proteomic programs, BraMARS provides a biologically ...
Zijian Yang +10 more
wiley +1 more source
Recent Advances (2020-2025) in Estrogen and ER-Positive Breast Cancer: Receptor Signaling, Tumor Microenvironment, Endocrine Therapy Resistance and Innovative Treatment Strategies-A Comprehensive Review. [PDF]
Zhao J, Li D, Yang S, Ma X.
europepmc +1 more source

