The highs and lows of hydrogen
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Fine-grained evaluation of large language models in medicine using non-parametric cognitive diagnostic modeling
Xu, J. et al. Predicting immunotherapy response in unresectable hepatocellular carcinoma: A comparative study of large Language models and human experts. J. Med. Syst. 49 (1), 64 (2025).
Wang,…
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The integration imperative in electricity grid transition
The integration imperative in electricity grid transition
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Acknowledgment to the reviewers in 2025
Acknowledgment to the reviewers in 2025
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A hybrid machine learning approach for detecting DDoS attacks in software-defined networks
Zhang, P., Wang, H., Hu, C. & Lin, C. On denial-of-service attacks in software-defined networks. IEEE Network. 30, 28–33 (2016).
Karakus, M. & Durresi, A. Quality of service (qos) in software…
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Cryo-EM structure of bixafen-bound S. cerevisiae complex II unravels SDHI specificity against pathogenic fungi
Rich, P. R. & Maréchal, A. Electron transfer chains: structures, mechanisms and energy coupling In Comprehensive Biophysics Vol. 8 (ed Ferguson S. J.) 72-93 (Elsevier Inc., 2012).
Luttik, M. A. et al. The Saccharomyces cerevisiae NDE1 and NDE2…
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Deep tissue optoacoustic monitoring of photothermal treatments in the NIR-II assisted with silica-coated gold nanorods
Fales, A. M., Vogt, W. C., Pfefer, T. J. & Ilev, I. K. Quantitative Evaluation of Nanosecond Pulsed Laser-Induced Photomodification of Plasmonic Gold Nanoparticles. Sci. Rep. 7, 15704 (2017).
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A Deep Learning–Based Approach for Dielectric Permittivity Inversion of RIMFAX Ground-penetrating Radar Data
The dielectric permittivity is a crucial parameter in planetary ground-penetrating radar (GPR) missions, such as the RIMFAX radar onboard the Mars 2020 Perseverance rover. It characterizes subsurface materials and enables depth interpretation of…
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6G conditioned spatiotemporal graph neural networks for real time traffic flow prediction
Zheng, C., Qin, L. & et al. Urban flow prediction from spatio-temporal data with deep meta-learning. Proc. of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 1720–1730 (2020).
Vlahogianni, E. I., Karlaftis, M….
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