Results 101 to 110 of about 14,306 (251)

REGγ Suppresses Ferroptosis and Induces Drug Resistance by Degrading WDR6 in Chondrosarcoma

open access: yesAdvanced Science, EarlyView.
Here, we identified REGγ as a susceptibility factor in chondrosarcoma. Our study demonstrates that abnormally activated REGγ‐20S proteasome promotes chondrosarcoma development and progression. Further validation in animal models revealed that blocking REGγ function induced ferroptosis, suppressed malignant progression of chondrosarcoma, and uncovered a
Fanrong Liu   +20 more
wiley   +1 more source

Mesoporous Catalytic‐Adsorptive Nanoregulator Orchestrates Biofilm eDNA/LPS Disassembly and TLR9/TLR4 Immune Reprogramming to Resolve Diabetic Foot Infections

open access: yesAdvanced Science, EarlyView.
Chronic diabetic wounds are hindered by a “dual trap” of biofilm resistance and hyperinflammation. A mesoporous catalytic‐adsorptive nano‐regulator is developed to dismantle this barrier through simultaneous eDNA degradation and LPS sequestration. By silencing TLR4/9‐mediated signaling, the platform clears resilient pathogens and reprograms the immune ...
Junfeng Song   +10 more
wiley   +1 more source

Oxygen Vacancy‐Mediated Bi─O Unsaturation Coordination in BiOCl for Efficient Photocatalytic Water Purification

open access: yesAdvanced Science, EarlyView.
The incorporation of oxygen vacancies (OVs) presents a viable strategy for fine‐tuning the photocatalytic prowess of BiOCl. A reliable hydrogen annealing reduction technique is employed to precisely design OVs, thereby optimizing the light absorption capacity, as well as the efficiency of carrier migration and separation in BiOCl.
Shuaihao Ma   +11 more
wiley   +1 more source

Attitudes towards medical artificial intelligence talent cultivation: an online survey study. [PDF]

open access: yesAnn Transl Med, 2020
Yun D   +10 more
europepmc   +1 more source

Deep Learning Network‐Tailored Microenvironment Matching of 4D Bioprinting Bioactive Scaffolds for Bone Regeneration

open access: yesAdvanced Science, EarlyView.
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang   +12 more
wiley   +1 more source

On prerequisites for cultivating big data talents

open access: yes大数据, 2016
The shortage of big data talents becomes a global concern,which restricts the development of big data.Cultivating big data talents has been paid attention widely and increasing universities have launched big data talents training plans.It is important and necessary to discuss the prerequisites for cultivating big data talents,including qualified ...
Yangyong ZHU, Yun XIONG
openaire   +1 more source

Calcineurin‐Dependent Stress Adaptation Enables Caspofungin Heteroresistance Leading to Stable Resistance in Candida Glabrata

open access: yesAdvanced Science, EarlyView.
Caspofungin heteroresistance is prevalent in clinical Candida glabrata isolates and depends on calcineurin‐mediated stress adaptation. This transient phenotype serves as a reservoir for resistance evolution, enabling the emergence of stable resistant descendants under prolonged drug pressure.
Yanyu Su   +7 more
wiley   +1 more source

A Printed Hydrogel Hybrid Electronic System With Thermoresponsive Adhesion for Neurophysiological Monitoring

open access: yesAdvanced Science, EarlyView.
This work develops a soft hybrid electronic system with printed thermoresponsive hydrogel electrodes, which enables high‐fidelity neural signal acquisition and stimulation. The system precisely assesses median and ulnar nerve injuries in clinical cases, realizing accurate diagnosis of neural impairment while ensuring customized adhesion regulation ...
Bo Pang   +13 more
wiley   +1 more source

Ultra‐Low Power Consumption and Highly Durability in Sm:HfO2 Thin Film Ferroelectric Memristor for Edge Detection

open access: yesAdvanced Electronic Materials, EarlyView.
ABSTRACT With the continuous development of computer image processing, developing efficient and low‐power computing devices has become a key challenge. Memristors have integrated in‐situ storage and computing capabilities, making them an ideal choice for low‐power image processing computing architectures. However, current memristors are confronted with
Tengyu Li   +4 more
wiley   +1 more source

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