Results 151 to 160 of about 402,320 (302)
A “polymer‐in‐cage” strategy transforms a zinc‐acrylate copolymer into an active pore‐modulating agent for ZIF‐8 nanoplates. The polymer actively tunes the MOF's pore structure by anchoring within its windows, while the nanoplates create tortuous pathways.
Minsu Kim +9 more
wiley +1 more source
This study provides a translational approach for linking neural activity to tactile deficits in autism. By combining psychophysics with cortical recordings in a mouse model of autism, we show that low signal‐to‐noise ratio in somatosensory neurons weakens population encoding of fine touch, impairing detection, decoding, and leading to perceptual ...
Ourania Semelidou +7 more
wiley +1 more source
An entity‐centric foundation model, GloPath, is introduced for comprehensive glomerular lesion assessment from routine renal biopsy images. Trained on over one million glomeruli, the framework enables robust lesion recognition, grading, and cross modality diag nosis, while uncovering large‐scale clinicopathological associations.
Qiming He +28 more
wiley +1 more source
Axial Fluorine and Light‐Induced Oxygen Vacancies Synergize as an Electron Pump to Lower N2 Activation Energy and Enable Sustained NH3 Synthesis on FBWO. ABSTRACT The electronic structure precision of single‐atom catalysts (SACs) represents a decisive factor limiting advancements in photocatalytic nitrogen reduction (NRR) efficiency.
Xiao Ge +6 more
wiley +1 more source
An Ultra-Wideband Handover System for GPS-Free Bridge Inspection Using Drones. [PDF]
Wang PH, Wu RB.
europepmc +1 more source
Protein complexes like KIBRA‐PKMζ are crucial for maintaining memories, forming month‐long protein traces in memory‐tagged neurons, but conventional RNA‐seq analysis fails to detect their transcript changes, leaving memory molecules undetected in the shadows of abundantly‐expressed genes.
Jiyeon Han +10 more
wiley +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Inspection of bridges and improvement of the criteria of bridges inspections schedules
Larysa Bodnar +2 more
openaire +1 more source
Terahertz resonances in crystalline heterostructures could close a spectral gap between conventional electronics and photonics while opening new windows on non‐equilibrium lattice dynamics. Femtosecond optical screening of the depolarization field in epitaxial PbTiO3/SrTiO3 superlattices launches a collective polar mode that oscillates near 1 THz and ...
Deepankar Sri Gyan +13 more
wiley +1 more source

