Results 151 to 160 of about 1,754,517 (342)
Advanced Functional Materials, EarlyView.In this work, melt electrowriting is used to fabricate a 3D printed scaffold design that generates engineered cardiac tissues with in‐plane contraction, mimicking natural myocardium. It is shown that these tissues display advanced maturation and functionality.
Olalla Iglesias‐García +23 more
wiley +1 more source
Advanced Functional Materials, EarlyView.A hybrid‐nested microneedle/cryogel scaffold (MQW‐CMg‐MOF) is designed for efficient biofilm removal and accelerated healing of diabetic wounds. The scaffold shows substantial biofilm removal in vitro and in a preclinical diabetic swine biofilm‐infected wound model compared to the control.
Syed Muntazir Andrabi +11 more
wiley +1 more source
Advanced Functional Materials, EarlyView.By using (meso)porous N‐doped carbon nanospheres with tailored intraparticle porosity and constant particle size as conductive carbon in PVMPT‐based organic battery electrodes, the complete volume of the carbon is accessible for the immobilization of PVMPT, resulting in high accessible specific capacities while maintaining a good rate capability and ...
Niklas Ortlieb +6 more
wiley +1 more source
The Lettsomian Lectures on Diseases and Disorders of the Heart and Arteries in Middle and Advanced Life: Delivered before the Medical Society of London [PDF]
, 1901 J. M. Bruce
openalex +1 more source
Advanced Functional Materials, EarlyView.A novel low‐bandgap random terpolymer is designed for narrow band detection in charge collection narrowing (CCN) based organic photodetectors. With a relative thin active layer (<1 µm), the CCN‐based devices achieved a narrowband response of 68 nm full‐width‐at‐half‐maximum at 916 nm, together with Responsivity values of 0.13 A W−1 and dark current of ...
Matilde Brunetta +14 more
wiley +1 more source
Postoperative Changes in the Electrocardiogram in Congenital Heart Disease [PDF]
, 1954 Bernhard Landtman
openalex +1 more source
Centralized and Federated Heart Disease Classification Models Using UCI Dataset and their Shapley-value Based Interpretability [PDF]
arXivCardiovascular diseases are a leading cause of mortality worldwide, highlighting the need for accurate diagnostic methods. This study benchmarks centralized and federated machine learning algorithms for heart disease classification using the UCI dataset which includes 920 patient records from four hospitals in the USA, Hungary and Switzerland.
arxiv