Results 211 to 220 of about 1,921,295 (293)
Burnout and career satisfaction among attending neurosurgeons during the COVID-19 pandemic. [PDF]
Khalafallah AM +6 more
europepmc +1 more source
Smart Bioinks for 4D Bioprinting: Requirements, Design, and Applications
Smart bioinks empower 4D‐bioprinted constructs to dynamically adapt and remodel in response to stimuli, effectively biomimicking native tissues. Artificial Intelligence (AI) and Machine Learning (ML) play a guiding role in their rational design by optimizing relevant properties.
Shangsi Chen +11 more
wiley +1 more source
Burnout and career satisfaction in young neuro-oncology investigators: Results of the Society for Neuro-Oncology Young Investigator Survey. [PDF]
Youssef G +10 more
europepmc +1 more source
Career satisfaction of leaders in academic dermatology: Results from a national survey. [PDF]
Sadeghpour M +3 more
europepmc +1 more source
A glycolysis‐driven epigenetic switch promotes therapy resistance in meningioma. Increased lactate production enhances histone H3K27 lactylation, which activates PROS1 secretion. Secreted PROS1 engages TYRO3 signaling to degrade the senescence regulator CARF, allowing cancer cells to escape growth arrest.
Zhuohang Wang +12 more
wiley +1 more source
Wearable E‐Textiles for Cardiovascular Monitoring: Materials, Devices, and Integrated Systems
The graphical abstract highlights the role of conductive materials and textile fabrication techniques in enabling smart textiles for cardiovascular applications. It showcases textile‐based ECG monitoring, pulse sensing, hemodynamic monitoring, and cardiovascular tissue engineering, while emphasizing the challenges and design considerations that govern ...
Bangul Khan +3 more
wiley +1 more source
Women in surgery: a web-based survey on career strategies and career satisfaction. [PDF]
Radunz S +7 more
europepmc +1 more source
Effect of Career Development and Career Plateau on Career Satisfaction of Nurses
openaire +2 more sources
PrOMet: Accurate and Robust Metal‐Binding Site and Type Prediction
PrOMet is a two‐stage deep learning framework for jointly predicting metal‐binding sites and ion identities from protein structures. Surface candidate sites are first pruned, followed by refinement of the most probable sites and metal types. This hierarchical strategy enables robust and accurate metal prediction for cryo‐EM and AlphaFold‐derived ...
Gangeun Park, Chaok Seok, Hahnbeom Park
wiley +1 more source
Across scientific, technological, commercial, and pharmacological domains, individuals and organizations disengage from a previously adopted practice not at random, but as their network neighbors detach. The probability of detachment rises with the number of neighbors who have already disengaged. Preferential detachment reshapes network disintegration,
Binglu Wang +5 more
wiley +1 more source

