Results 151 to 160 of about 113,679 (360)
The Effects of Variable Factors on Crushing Strengths of Dental Amalgams [PDF]
N.O. Taylor+3 more
openalex +1 more source
ABSTRACT This research aims to explore and understand the dynamic nature of volatility connectedness between BRICS stock markets and various asset price implied volatility indices through a TVP‐VAR broadened connectedness approach. Results display nontrivial dynamic connectedness in the BRICS stock markets and uncertainties in different markets during ...
Halilibrahim Gökgöz+3 more
wiley +1 more source
The PANDA pipeline for colorectal cancer (CRC) analysis integrates metabolomic data from LC‐MS with machine learning techniques to classify CRC stages and predict biomarkers. Initially, the raw metabolomic data is processed using partial least squares discriminant analysis (PLS‐DA) to reduce dimensionality and highlight key features.
Rui Xu+8 more
wiley +1 more source
Beitrag zur Demonstration der Bildung von Ammonium‐ amalgam durch Elektrolyse von Ammoniumchlorid [PDF]
Johannes Schroeder
openalex +1 more source
Printed electronics technology is known for its low cost, large area, ease of operation, and high speed, making it suitable for flexible electronic devices. Liquid metals, particularly gallium‐based alloys, are ideal for creating stretchable electronics due to their conductivity.
Chunxue Wan+5 more
wiley +1 more source
مقایسه استحکام شکست و قابلیت ترمیم مجدد شش روش ترمیم پرمولرهای ماگزیلاری اندو شده [PDF]
مقدمه: بازسازی بافت سخت دندانی بعد از درمان ریشه وظیفهای مهم و مشکل برای یک دندانپزشک است. طبق نظر کلی، دندانهای درمان ریشه شده کیفیت کمتری داشته، شکنندهتر و مستعد شکست و ترک میباشند.
فاطمه ملک نژاد+2 more
doaj
Integrating Surface‐Enhanced Raman Scattering (SERS) with machine learning creates a powerful platform for cancer management. This approach enhances diagnostic precision through non‐invasive molecular fingerprinting and enables real‐time therapeutic monitoring. By combining SERS with machine learning, it offers a comprehensive solution for early cancer
Heng‐Zhou He+9 more
wiley +1 more source
Performance Review of Meta LLaMa 3.1 in Thoracic Imaging and Diagnostics
This study evaluates the diagnostic accuracy of the Meta LLaMa 3.1 model in thoracic imaging, highlighting its strengths and areas for improvement. It also compares open‐source and proprietary natural language processing models in healthcare, focusing on factors such as transparency and performance consistency.
Golnaz Lotfian+2 more
wiley +1 more source
Objective: The purpose of the present study was to assess the microleakage of composite restorations with and without a cervical amalgam base and to compare the results of dif-ferent composites and bonding agents. Materials and Methods: One hundred and
F. Sharafeddin+1 more
doaj