Results 191 to 200 of about 38,899 (287)
Applications of visualization technology in the structural sciences. [PDF]
Eng ET, Valdez NR.
europepmc +1 more source
This work demonstrates a new strategy for reversible protonic ceramic cells (R‐PCCs). By developing highly hydrophilic oxides, efficient operation is achieved under low water vapor pressures while maintaining high performance and stability. This approach addresses the challenge of hydrogen production in freshwater‐scarce regions.
Nai Shi +15 more
wiley +1 more source
BigFlow-NIDS: A large-scale dataset for network intrusion detection in big data environment. [PDF]
Uddin MB, Arefin MS, Hussain MMM.
europepmc +1 more source
ABSTRACT Native plants offer a variety of aesthetic (e.g., fall colour, fruit, flowers) and functional benefits (e.g., pollinator friendly, wildlife friendly, water management). How these benefits influence consumer choice and perceived value of native versus introduced plants is not well understood.
Alicia Rihn +3 more
wiley +1 more source
Investigate gantry position error effect on dynamic spot-scanning proton arc (SPArc) therapy. [PDF]
Liu P +6 more
europepmc +1 more source
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri +6 more
wiley +1 more source
Protecting CMS 1:C Bitrix from cross-site scripting attacks by bitrix framework [PDF]
Potykevych, M., Потикевич, М.
core
Development and clinical implementation of an MRI-only planning workflow featuring deep learning-based synthetic CT for prostate cancer external beam radiotherapy. [PDF]
Deng J +13 more
europepmc +1 more source
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source
Leveraging Artificial Intelligence to Advance Bioinformatics in Africa: Opportunities, Challenges, and Ethical Considerations in Combating Antimicrobial Resistance. [PDF]
Lyimo B.
europepmc +1 more source

