Results 191 to 200 of about 12,171,095 (269)

Longitudinal Morphomolecular Monitoring of Head and Neck Carcinogenesis

Advanced Science, EarlyView.
A miniaturized endoscopic probe that integrates Raman spectroscopy and optical coherence tomography, enabling simultaneous molecular and structural imaging of living tissue, was developed. Applied longitudinally in a mouse model of head and neck cancer, the system tracks disease progression from precancerous lesions to invasive cancer.
Jianrong Qiu, Priyanka G. Bhosale, Vishal Kumar, Jeyrroy Gabriel, Shiyue Liu, Ciro Chiappini, Richard J. Cook, Mads S. Bergholt   +7 more
wiley   +1 more source

Statistical Box-Behnken driven response surface modeling for thermal performance enhancement of radiative tri hybrid nanofluid transport over a porous heated material. [PDF]

Discov Nano
Sethy N, Mishra SR, Panda S.
europepmc   +1 more source

Microglial Deubiquitinase OTUD7B Stabilizes STAT3 to Promote Neuroinflammation and Cognitive Decline in Alzheimer's Disease

Advanced Science, EarlyView.
. ABSTRACT Neuroinflammation driven by microglial activation is a defining feature of Alzheimer's disease (AD), yet the molecular mechanisms sustaining this proinflammatory state remain unclear. Here, we identify the deubiquitinase OTUD7B as a critical regulator of microglial activation and AD pathology.
Luyao Li, Hao Tang, Qin Yu, Yuyang Zhang, Binglu Shi, Ying Kong, Leiyu Xu, Jingjing Shao, Chenghong Hu, Lingyu She, Zhe Wang, Haiyi Chen, Aleksandr V. Samorodov, Gang Cao, Xia Zhao, Yi Wang   +15 more
wiley   +1 more source

Toward nonlinear representations with Gaussian-splat manifolds for physics-informed learning. [PDF]

Nat Commun
Han X, Chen K, Wang R, Wei G, Han L, Gao H.   +5 more
europepmc   +1 more source

New High‐Tc Charge‐Transfer Multiferroicity in the Quasi‐2D Antiferromagnet CrSbS3

Advanced Science, EarlyView.
ABSTRACT Low‐dimensional magnets, particularly 2D systems, offer a rich platform for realizing unconventional multiferroic mechanisms, especially when multiple polarization channels coexist. In the quasi‐2D antiferromagnet CrSbS3, which crystallizes in the centrosymmetric orthorhombic space group Pnma and orders magnetically at TN ≈ 90 K, two ...
Hung‐Cheng Wu, Yu‐Hsin Liao, Chih‐Chung Tsai, Pei‐Ying Yang, Yu‐Hao Chang, Yu‐Hui Liang, D. Chandrasekhar Kakarla, Ajay Tiwari, C. Dhanasekhar, Chin‐Wei Wang, Daisuke Okuyama, Chia‐Nung Kuo, Chin‐Shan Lue, Tzu‐Hsuan Weng, Kung‐Hsuan Lin, Jau‐Wern Chiou, Chi‐Hung Lee, Hung‐Duen Yang   +17 more
wiley   +1 more source

Mode-Selective Nonlinearity in a Monolithic Slitted Piezoelectric Energy Harvester: Symmetry-Controlled Internal Resonance, Saturation, and Differential Bistability. [PDF]

Sensors (Basel)
Almokmesh SF, Alzuwayer BB.
europepmc   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Improved polio outbreak prediction using a Caputo fractional-order model with memory effects. [PDF]

Sci Rep
Alyobi S, Shafee A.
europepmc   +1 more source

Overcoming Artificial Structures in Resolution‐Enhanced Hi‐C Data by Signal Decomposition and Multi‐Scale Attention

Advanced Science, EarlyView.
Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li, Kelly Yichen Li, Chiara Nicoletti, Stephen Kwok‐Wing Tsui, Pier Lorenzo Puri, Qin Cao, Kevin Y. Yip   +6 more
wiley   +1 more source

CoRoPINN: Cognitive region optimized physics-informed neural networks. [PDF]

PLoS One
Li J, Liao Y, Wang X, Deng J.
europepmc   +1 more source