Results 91 to 100 of about 102,701 (252)
Immersive virtual reality as a teaching tool in neuroanatomy: A scoping review
Abstract Basic core courses in various undergraduate programs, such as neuroanatomy, pose a challenge for students due to the large volume and complexity of the content. In this context, educational technologies such as immersive virtual reality (IVR), which allow students to actively interact with learning materials, offer a complementary pedagogical ...
Nathálya Gardênia de Holanda Marinho Nogueira +7 more
wiley +1 more source
This study evaluates the efficacy of machine learning models for predicting soil nitrogen (N), phosphorus (P), and potassium (K) concentrations from near-infrared (NIR) spectral data (750–2499 nm).
Adnan Adnan +6 more
doaj +1 more source
Unmet needs in the post-direct-acting antivirals era: The risk and molecular mechanisms of hepatocellular carcinoma after hepatitis C virus eradication [PDF]
Hepatitis C virus (HCV) infection is one of the major etiologies of hepatocellular carcinoma (HCC) with approximately 30% of HCC being due to HCV infection worldwide.
Chung-Feng Huang +3 more
doaj +1 more source
Gaussian Processes for Predictive QSAR Modeling of Chromatographic Processes
ABSTRACT Chromatography is a key unit operation in the biopharmaceutical manufacturing process used for protein purification and polishing. Design and optimization of these processes are resource‐intensive resulting from the complex combinatorial design space.
Harini Narayanan +7 more
wiley +1 more source
In India, it is estimated that 10–24 million people are living with active HCV infection, with a seroprevalence of 0.09% to 2.02% among the healthy population.
Astha +5 more
doaj +1 more source
ABSTRACT The emerging concept of Hubs for Circularity (H4Cs) presents an opportunity to create collaborative, self‐sustaining regional industrial ecosystems that drive circular economy transitions at scale. However, the operationalisation of H4Cs faces financial, organisational and data‐driven challenges.
Aditya Tripathi +3 more
wiley +1 more source
Gauge Deterioration Prediction of Urban Rail Transit Lines Based on CEEMD and SVR
[Objective] In order to strengthen the status ma-nagement of urban rail transit line sections, it is necessary to predict the overall deterioration trend of the gauge in space.
JIA Qingtian, LIN Haijian, JIN Zhong
doaj +1 more source
A New Method to Improve the Sensitivity of Leak Detection in Self-Contained Fluid-filled Cables
A method of real-time detection of leaks for self-contained fluid-filled cables without taking them out of service has been assessed and a novel machine learning technique, i.e.
Bradley, C +3 more
core
ABSTRACT Background Chronic thromboembolic pulmonary disease (CTEPD) leads to chronic total occlusions (CTOs) of the pulmonary arteries in a minority of patients. Treatment of CTOs with balloon pulmonary angioplasty (BPA) may substantially improve patient hemodynamics but presents unique technical challenges and has previously been associated with a ...
Elliot J. Stein +4 more
wiley +1 more source
Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley +1 more source

