Results 311 to 320 of about 586,990 (364)

A Next Available Appointment (NAA) Tool to Better Manage Patient Delay Risk and Patient Scheduling Expectations in Specialist Clinics. [PDF]

Int J Health Plann Manage
Riahi V, Rolls D, Diouf I, Khanna S, O'Sullivan K, Jayasena R.   +5 more
europepmc   +1 more source

Outermost Cationic Surface Charge of Layer‐by‐Layer Films Prevents Endothelial Cells Migration for Cell Compartmentalization in Three‐Dimensional Tissues

Advanced Science, EarlyView.
A nanometer‐sized artificial basement membrane (A‐BM) is developed to replicate the barrier functions of the basement membrane and prevent cell migration. It is demonstrated that the outermost cationic surface charge of nanofilms can effectively inhibit endothelial cell migration and sprouting, allowing for the construction of 3D patterned vascular ...
Jinfeng Zeng, Sven Heilig, Matthias Ryma, Jürgen Groll, Congju Li, Michiya Matsusaki   +5 more
wiley   +1 more source

Contextual subspace variational quantum eigensolver calculation of the dissociation curve of molecular nitrogen on a superconducting quantum computer. [PDF]

npj Quantum Inf
Weaving T, Ralli A, Love PJ, Succi S, Coveney PV.   +4 more
europepmc   +1 more source

KK2DP7 Stimulates CD11b+ Cell Populations in the Spleen to Elicit Trained Immunity for Anti‐Tumor Therapy

Advanced Science, EarlyView.
This study introduces KK2DP7, a dendrimer‐structured peptide adjuvant, as a tool to decode trained immunity's role in antitumor therapy. Splenic CD11b+ cells mediate tumor suppression via TLR2‐IRF7 activation and epigenetic reprogramming, validated by adoptive transfer experiments.
Rui Zhang, Lin Tang, Yusi Wang, Xuejing Zhou, Zhenyu Ding, Li Yang   +5 more
wiley   +1 more source

Capacity Estimation and Knee Point Prediction Using Electrochemical Impedance Spectroscopy for Lithium Metal Battery Degradation via Machine Learning

Advanced Science, EarlyView.
This work explores a machine learning (ML) model with electrochemical impedance spectroscopy (EIS) data to address two critical challenges in Lithium metal batteries (LMBs): capacity degradation trajectory and knee point (KP) estimation, for the first time.
Qianli Si, Shoichi Matsuda, Yasunobu Ando, Toshiyuki Momma, Yoshitaka Tateyama   +4 more
wiley   +1 more source

Cooperative Hybrid Modelling and Dimensionality Reduction for a Failure Monitoring Application in Industrial Systems. [PDF]

Sensors (Basel)
Suhas M, Abisset-Chavanne E, Rey PA.
europepmc   +1 more source

Oxygen Vacancy Defect Engineering for Transverse Thermoelectric Enhancement: a Novel Extrinsic Pathway beyond Intrinsic Approaches

Advanced Science, EarlyView.
Transverse thermoelectric (TE) technology gains increasing attention as it enables efficient power generation within a single TE element and eliminates junctions. This study enhances transverse thermopower in polycrystalline Sr3YCo4O10‐δ through oxygen vacancy defect engineering, utilizing the anomalous Nernst effect to improve TE efficiency.
Min Young Kim, Dongkyu Lee, June Ho Lee, Donghwa Lee, Gi‐Yeop Kim, Si‐Young Choi, Joseph P. Heremans, Hyungyu Jin   +7 more
wiley   +1 more source

Dementia - Prevalence, trends and regional patterns in Germany. An analysis based on routine data from the statutory health insurance. [PDF]

J Health Monit
Rommel A, Gaertner B, Neuhauser H, Yessimova D, Schröder H, Brückner G, Schüssel K, Porst M.   +7 more
europepmc   +1 more source

Strong and Fatigue‐Resistant Hydrogels via Poor Solvent Evaporation Assisted Hot‐Stretching for Tendon Repair

Advanced Science, EarlyView.
An anisotropic hydrogel (AHs) is prepared in this study. The strength of AHs can reach up to 33.14 ± 2.05 MPa, and it exhibits unique defect‐insensitive characteristics. Cracks can only deflect along the fiber alignment direction, demonstrating an interesting self‐protection function.
Huamin Li, Ying Zhang, Haidi Wu, Zhanqi Liu, Cheng Guan, Jin Zhang, Jingyi Chen, Shaohua He, Xuewu Huang, Wancheng Gu, Yiu Wing Mai, Jiefeng Gao   +11 more
wiley   +1 more source

Parkinson disease - Prevalence, trends and regional patterns in Germany. An analysis based on routine data from the statutory health insurance. [PDF]

J Health Monit
Rommel A, Deuschl G, Dodel R, Yessimova D, Neuhauser H, Brückner G, Schröder H, Schüssel K, Porst M.   +8 more
europepmc   +1 more source