Results 41 to 50 of about 1,741 (147)
Differentiating intrahepatic CCA from PDAC metastatic to the liver is critical for the clinical management of patients with pancreatobiliary cancers. AQP1 has demonstrated an excellent discriminatory performance in this clinical scenario. Aims Differentiating intrahepatic cholangiocarcinoma (iCCA) from metastatic ductal adenocarcinoma of the pancreas ...
Leoncini Giuseppe +7 more
wiley +1 more source
Bone Grafts: Everything You Need to Know
This review classifies bone grafts (autograft, allograft, xenograft, synthetic) by source and osteogenic/inductive/conductive potential, linking material properties and mechanisms to clinical indications in periodontal and dental regeneration. Key challenges—limited osteoinduction, poor vascularisation, unbalanced resorption, handling difficulties, and
Håvard Jostein Haugen +5 more
wiley +1 more source
A Low‐Cost and Compact High‐Frequency Gallium Nitride Gradient Power Amplifier for Low‐Field MRI
ABSTRACT Purpose To reduce the upfront cost of small, low‐field MRI systems, while expanding the capabilities of their gradient systems. Methods A gradient power amplifier was designed to leverage the lowering cost of Gallium Nitride (GaN) power transistors and high speed logic, to achieve high efficiency and responsiveness for driving gradient coils ...
N. Reid Bolding +7 more
wiley +1 more source
Abstract BACKGROUND Cardiovascular diseases, largely driven by hypertension, remain the leading cause of mortality worldwide. Angiotensin‐I‐converting enzyme (ACE) inhibition is a well‐established therapeutic approach; however, synthetic inhibitors are frequently associated with adverse effects.
Fátima Rubio‐Senent +5 more
wiley +1 more source
A CMOS‐compatible silicon‐photonic 4 × 4 coherent receiver array spatially samples turbulence‐distorted wavefronts and, with maximum‐ratio combining, enables signal recovery. Experimental BPSK tests under moderate turbulence approach theoretical combining efficiency, reducing BER from 1E‐2 to 1E‐15.
Alireza Fardoost +7 more
wiley +1 more source
An Overview of Deep Learning Techniques for Big Data IoT Applications
Reviews deep learning integration with cloud, fog, and edge computing in IoT architectures. Examines model suitability across IoT applications, key challenges, and emerging trends Provides a comparative analysis to guide future deep learning research in IoT environments.
Gagandeep Kaur +2 more
wiley +1 more source
Probing Cellular Activity Via Charge‐Sensitive Quantum Nanoprobes
A new quantum sensing modality detects shifts in zero‐field splitting caused by charge rearrangement with diamond nanocrystals in response to cellular activity. These electric‐field‐driven effects provide an alternative to temperature‐based interpretations, enabling real‐time, single‐cell readout of inflammation.
Uri Zvi +16 more
wiley +1 more source
The four‐wave mixing conversion efficiencies of both the waveguides and the microresonators exhibit a well‐correlated relation versus their effective lengths, confirming the unified theoretical framework. These experimentally validated findings offer a fresh perspective on Kerr nonlinearity and pave the way toward advancing the development of highly ...
Weiren Cheng +10 more
wiley +1 more source
This article proposes a deep learning (DL) approach for modeling and optimizing frequency‐doubled radio‐over‐fiber links. By collectively replacing traditional components with DL model, accurate system evaluation is achieved. Moreover, through an end‐to‐end architecture, performance optimization is accomplished.
Difei Shi +3 more
wiley +1 more source
Recent advances in materials and device engineering enable continuous, real‐time monitoring of muscle activity via wearable and implantable systems. This review critically summarizes emerging technologies for tracking electrophysiological, biomechanical, and oxygenation signals, outlines fundamental principles, and highlights key challenges and ...
Zhengwei Liao +4 more
wiley +1 more source

