Results 151 to 160 of about 77,307 (222)

Artificial neural network optimization of gyrotactic microbes in water hybrid nanoliquid with carbon nanotubes using modified Hamilton crosser model. [PDF]

Discov Nano
Abbas M, Darem AA, Elhag AB, Alhashmi AA, Alkhaldi TM, Farkhad DR, Bayram M.   +6 more
europepmc   +1 more source

Shallow Modeling and Site‐Amplification From Telecommunications Fibers in Istanbul

Geophysical Research Letters, Volume 53, Issue 11, 16 June 2026.
Abstract We use pre‐existing fiber‐optic telecommunications fibers in Istanbul, Türkiye, to generate a seismic velocity model of the subsurface down to 100 m depth, and estimate site‐amplification in the region. We collect ambient noise, predominantly from urban traffic, along the 8 km segment fiber, extract Rayleigh wave dispersion curves, and use a ...
Daniel Bowden, Ali Shaikhsulaiman, Simon Grieder, Ebru Bozdağ, Ali Özgün Konca, Semih Ergintav, Esra Ertan, Evrim Yavuz, Muhammed Ünlü, Andreas Fichtner   +9 more
wiley   +1 more source

Correction: Mahmood et al. Laser Melting Deposition Additive Manufacturing of Ti6Al4V Biomedical Alloy: Mesoscopic In-Situ Flow Field Mapping via Computational Fluid Dynamics and Analytical Modelling with Empirical Testing. <i>Materials</i> 2021, <i>14,</i> 7749. [PDF]

Materials (Basel)
Mahmood MA, Rehman AU, Pitir F, Salamci MU, Mihailescu IN.   +4 more
europepmc   +1 more source

Total Synthesis and Antimalarial Studies of Caelestines A–C

ChemMedChem, Volume 21, Issue 11, 15 June 2026.
Total synthesis of caelestines A–C (alkaloids from the Australian ascidian, Aplidium caelestis) was accomplished, constituting the first synthesis of caelestines B and C. Caelestines A–C, with five other novel quinolones, were assessed against Plasmodium falciparum 3D7 and Dd2. Caelestine B was found to be a selective antimalarial alkaloid. Caelestines
Henry S. T. Smith, Aaron M. Lock, Vicky M. Avery, Rohan A. Davis   +3 more
wiley   +1 more source

Rolling element bearing fault diagnosis based on modified Pufferfish optimization assisted efficient customized convolutional neural network with IMI-EMD. [PDF]

Sci Rep
M P, T NB.
europepmc   +1 more source

Rejuvenated Amorphous Alloys: Processing Methods, Microstructures and Mechanical Properties

Advanced Science, Volume 13, Issue 33, 15 June 2026.
Three rejuvenation methods – mechanical and thermal rejuvenation, and other rejuvenation routes such as ultrasonic processing – can be used to modify structures of glassy alloys, especially atomic clusters, and therefore enhances plasticity and activates work‐hardening behaviors.
Can Yang, Yu Chen, Chunguang Tang, Si Lan, Jun Tan, Heng Ye, Hua Chen, Zhifu Yao, Jürgen Eckert, Dongxian Zhang, Jian‐Zhong Jiang   +10 more
wiley   +1 more source

Advances in Cancer Immunotherapy for Solid Tumors

Advanced Science, Volume 13, Issue 35, 24 June 2026.
Cancer immunotherapy for solid tumors is rapidly evolving beyond classical checkpoint blockade toward more precise strategies. Emerging checkpoint targets, bispecific antibodies, antibody–drug conjugate combinations, personalized vaccines, cellular therapies, and engineered cytokines are expanding therapeutic possibilities, while biomarker‐guided ...
Shira Gabizon‐Peretz, Harriet M. Kluger   +1 more
wiley   +1 more source

A Fully Bayesian Approach to Adult Skeletal Age Estimation: Multivariate Latent Trait Modeling With Markov Chain Monte Carlo Sampling

American Journal of Biological Anthropology, Volume 190, Issue 2, June 2026.
Ordered probit regression is used as a latent trait model, with age at death estimated from a Gompertz distribution. Combined with Bayesian Markov Chain Monte Carlo sampling, this approach eliminates the need for reference priors for transition ages or population parameters.
Nils Müller‐Scheeßel, Katharina Fuchs, Christoph Rinne   +2 more
wiley   +1 more source