Results 61 to 70 of about 3,908,518 (240)
ABSTRACT Multisystemic smooth muscle dysfunction syndrome (MSMDS) is an ultra‐rare, ACTA2‐related disorder characterized by severe cerebrovascular disease, aortic aneurysms, and smooth muscle dysfunction. Using molecular dynamics simulations and in silico drug screening, we identified that sapropterin dihydrochloride (Kuvan) is a candidate capable of ...
Moran Hausman‐Kedem +9 more
wiley +1 more source
Background: Stress associated with learning of a psychomotor task can influence the trainees learning ability. Surgical simulation is a validated training milieu designed to replicate real-life situations, prevent biases and provide objective metrics ...
Georgiou Konstantinos E. +5 more
doaj +1 more source
Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane +3 more
wiley +1 more source
Post-surgical Pancreatitis Masquerading as Recurrent Neuroendocrine Cancer [PDF]
Neuroendocrine tumours of the pancreas can have a spectrum of behaviour from relatively benign to aggressive. Resection can result in cure although metastatic disease is described.
Oniscu, Anca +5 more
core +1 more source
Can surgical simulation be used to train detection and classification of neural networks?
Computer-assisted interventions (CAI) aim to increase the effectiveness, precision and repeatability of procedures to improve surgical outcomes. The presence and motion of surgical tools is a key information input for CAI surgical phase recognition ...
Odysseas Zisimopoulos +7 more
doaj +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur +5 more
wiley +1 more source
CBCT And 3D Printing In Complex Tooth Extraction
Aim or purpose: This study explores the application of Cone Beam Computed Tomography (CBCT) three-dimensional visualization and 3D printing technology in complex impacted tooth extraction.
Jian Huang, Di Yan
doaj +1 more source
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
Impact and Outcomes of a Pediatric Robotic Urology Mini-Fellowship
Introduction: In order to support practicing pediatric surgeons and urologists to safely and effectively incorporate robotic surgery into their practice, we established a 5-day mini-fellowship program with a mentor, preceptor and proctor at our ...
Ciro Andolfi +3 more
doaj +1 more source

