Fully 3D‐Printed Wave‐Wound Electromagnetic Motors
This work presents the first fully 3D‐printed wave‐wound electromagnetic motors, which are created using conductive nanoparticle inks, carbon‐filled nylon polymers, and surface mount components. These motors can achieve a stall torque of 7.62N·mmA−1$7.62 \nobreakspace N{\cdot }mm A^{-1}$ and efficiency of 28.2 %, which approaches the performance of ...
Joseph Schwalbe +4 more
wiley +1 more source
Optimal Use of Computed Tomography in Diagnosing Internal Herniation After Roux-en-Y Gastric Bypass: A Proposition for the Application of a Radiological Prediction Score. [PDF]
van Hogezand LL +12 more
europepmc +1 more source
At Home Detection of Ovarian Health Biomarker in Menstruation Blood
A lateral flow assay enables the detection of anti‐Müllerian hormone directly in unprocessed menstrual blood using silica‐gold nanoshells and smartphone‐assisted machine learning analysis. The platform supports decentralized, user‐operated testing in wearable and dipstick formats, highlighting the potential of menstrual blood as a non‐invasive matrix ...
Lucas Dosnon +3 more
wiley +1 more source
Modeling tissue-scale ciliary transport and mixing in three-dimensional Newtonian flow. [PDF]
Xu L, Senaei P, Jiang Y.
europepmc +1 more source
Probing Near‐Field EM Fluctuations in Superparamagnetic CoFeB With NV Quantum Dephasometry
We non‐invasively investigate the superparamagnetic spin dynamics of a 1.1 nm CoFeB layer by probing its near‐field EM fluctuations using NV centers‐based quantum dephasometry. Our findings are further supported by theoretical modeling and SQUID‐based magnetization characterization. These results provide critical insight into the magnetization dynamics
Shoaib Mahmud +5 more
wiley +1 more source
Ulcer Perforation on Excluded Stomach Following Gastric Bypass Surgery: A Case Report of Atypical Presentation Without Pneumoperitoneum. [PDF]
Gonçalves N +4 more
europepmc +1 more source
Data‐Efficient Electromagnetic Surrogate Solver Through Dissipative Relaxation Transfer Learning
Dissipative relaxation transfer learning (DIRTL) enables data‐efficient training of electromagnetic surrogate solvers by pretraining data generated with artificial material loss before fine‐tuning on target lossless data. The framework suppresses resonant outlier effects during early training, allowing effective adaptation to high‐amplitude resonances ...
Sunghyun Nam +2 more
wiley +1 more source
Novel Insights into Solution Electrospinning for Nanofibers. [PDF]
Wang C +6 more
europepmc +1 more source
Protocol for isolating cells from a single cryopreserved gastrointestinal endoscopic biopsy for single-cell RNA sequencing. [PDF]
Horowitz D +6 more
europepmc +1 more source
Closure of Mesenteric Defects during Roux-en-Y Gastric Bypass Fails to Reduce Internal Herniation. [PDF]
Taselaar AE +4 more
europepmc +1 more source

