Results 121 to 130 of about 410,563 (250)

Tubocapsenolide A Overcomes Oxaliplatin Resistance in Colorectal Cancer by Targeting PLK1 to Impair CEP55–ESCRT‐Associated Vesicular Damage Clearance

Advanced Science, EarlyView.
Oxaliplatin‐resistant colorectal cancer cells utilize a previously unappreciated PLK1‐CEP55‐ESCRT‐driven vesicular extrusion mechanism to clear L‐OHP‐induced cellular damage. The natural withanolide Tubocapsenolide A directly targets and inhibits PLK1 to disrupt this specific damage‐clearance machinery. This blockade induces severe nucleolar stress and
Yueying Yang, Jing Liang, Lu Wang, Hongyan Zhang, Zhiruo Zhang, Yang Liu, Rui Zhu, Wen Xu, Shaohua Xu, Dejuan Sun, Ke Xiang, Yali Wang, Zhimin Fan, Zheng Wang, Hua Li, Lixia Chen   +15 more
wiley   +1 more source

Anion‐Cation Synergistic Passivation for High‐Performance FA‐Cs Halide Perovskite Photodetectors

Advanced Electronic Materials, EarlyView.
An anion‐cation synergistic passivation strategy is developed to improve perovskite photodetectors. Surface‐localized DMePDA2+ cations and bulk‐diffused Cl− anions simultaneously reduce defects, enhancing charge transport and suppressing recombination.
Hyeon‐Jong Shin, Kwang‐Ro Yun, Tae Joon Park, Tae‐Yeon Seong   +3 more
wiley   +1 more source

Roles and functions of the dental division at the National Taiwan University Cancer Center. [PDF]

J Dent Sci
Cheng FC, Shen YJ, Liu SY, Chiang CP.
europepmc   +1 more source

Eco‐Friendly Laser‐Induced Graphene/Perovskite Hybrids for Eco‐Friendly Photodetectors

Advanced Electronic Materials, EarlyView.
A sustainable paper‐based photodetector was developed by combining laser‐induced graphene (LIG) with MAPbI3 perovskite. Compared with pure LIG devices, the hybrid photodetector exhibited nearly 10‐fold higher responsivity and 7‐fold greater detectivity while maintaining stable performance after 1000 bending cycles, demonstrating its potential for ...
Ya‐Yun Huang, Wei‐Hua Hsu, Bo‐Hua Chiou, Wei‐Chen Tu   +3 more
wiley   +1 more source

Cost-utility analysis of deep learning-based opportunistic osteoporosis screening using chest radiographs: implications of diagnostic thresholds and confirmatory testing. [PDF]

Arch Osteoporos
Shi BX, Tsai DJ, Lin C, Lin SH, Hsieh PH, Fang WH.   +5 more
europepmc   +1 more source

AI‐Assisted Ultrasensitive Biosensing using Metal‐Electrolyte‐Metal‐Insulator‐Silicon Structure Based on Oxygen‐Tunable Iridium Oxide Nanonets for Lysyl‐Oxidase‐Like‐2 Breast Cancer Detection

Advanced Electronic Materials, EarlyView.
An oxygen‐controlled iridium‐oxide (IrOx) nano‐net structure is developed to enhance the sensitivity of metal‐electrolyte‐metal‐insulator‐silicon (MEMIS) biosensors. Integrated with a deep learning model, this platform achieves a high accuracy of 94.8% for detecting the breast cancer biomarker LOXL2.
Chiao‐Fan Chiu, Pankaj Kumar, Long Nguyen Minh Le, Ping‐Hsuan Wu, Punnatorn Boonyoung, Shen Tingyang, Abhijit Aich, Yi‐Pin Chen, Shih‐Yin Huang, Siddheswar Maikap   +9 more
wiley   +1 more source

Topical fluoride treatment for irradiated head and neck cancer patients under Taiwan's National Health Insurance system. [PDF]

J Dent Sci
Cheng FC, Chen MH, Yu SJ, Chiang CP.
europepmc   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

The clinical potential of cone-beam computed tomography image segmentation in dentistry. [PDF]

J Dent Sci
Chou HH, Saito T, Huang CK, Lin WC.
europepmc   +1 more source

Descriptor‐Guided Computational Screening of Non‐Fullerene Acceptor Cores for Organic Solar Cells

Advanced Energy Materials, EarlyView.
We screen over 4000 non‐fullerene acceptors using their ionization energy, electron affinity, quadrupole, and dipole moments to select the top‐ten candidates for a given donor polymer. The workflow recovers known high‐performance motifs and reveals how molecular components influence material properties.
Kun‐Han Lin, J. Terence Blaskovits, Wenlan Liu, Shu‐Yi Hu, Kuei‐Jhong Lin, Sandeep Sharma, Julien Gorenflot, Martin Heeney, Frédéric Laquai, Denis Andrienko   +9 more
wiley   +1 more source