Results 171 to 180 of about 2,312,058 (282)

�ber Anemonin [PDF]

open access: yesMonatshefte f�r Chemie, 1896
openaire   +1 more source

Individualized Atrophy‐Based Prediction of Dementia Progression in Familial Frontotemporal Lobar Degeneration With Bayesian Linear Mixed‐Effects Modeling

open access: yesAnnals of Neurology, Volume 99, Issue 5, Page 1315-1326, May 2026.
Objective Age of symptom onset is highly variable in familial frontotemporal lobar degeneration (f‐FTLD). Accurate prediction of onset would inform clinical management and trial enrollment. Prior studies indicate that individualized maps of brain atrophy can predict conversion to dementia in f‐FTLD.
Shubir Dutt   +82 more
wiley   +1 more source

Spectral efficient and high data rate ring topology based UWOC system with carrier-free optical add-drop nodes. [PDF]

open access: yesPLoS One
Armghan A   +6 more
europepmc   +1 more source

�ber Antimonwasserstoff [PDF]

open access: yesZeitschrift f�r Analytische Chemie, 1910
H. Reckleben, A. G�ttich
openaire   +1 more source

Clinical Significance of Biomarkers in Oropharyngeal Squamous Cell Carcinoma: Recurrence Prediction and Treatment Response

open access: yesCancer Reports, Volume 9, Issue 5, May 2026.
ABSTRACT Background Oropharyngeal squamous cell carcinoma (OPSCC) accounts for a substantial proportion of head and neck cancers, with a rising incidence largely driven by human papillomavirus (HPV) infection. Despite advances in multimodal treatment, disease recurrence remains common and limits long‐term survival, highlighting the need for reliable ...
Yunxia Chen   +7 more
wiley   +1 more source

Experience of Alternative Technique for Branch Cannulation in Branched Endovascular Aneurysm Repair. [PDF]

open access: yesJ Clin Med
Mazzaccaro D   +6 more
europepmc   +1 more source

ber Bewertungen [PDF]

open access: yesSchweizerische Ärztezeitung, 2019
openaire   +1 more source

Exploring Ways to Reduce Biases in a Hybrid Global Climate Model With Machine‐Learned Moist Physics

open access: yesJournal of Advances in Modeling Earth Systems, Volume 18, Issue 5, May 2026.
Abstract In a previous study (Han et al., 2023, https://doi.org/10.1029/2022ms003508), we implemented a deep convolutional residual neural network for moist physics into the 3‐D real‐geography CAM5 and carried out a stable multi‐year integration successfully. However, the simulation has large temperature and moisture biases in high latitude troposphere
Yilun Han, Guang J. Zhang, Yong Wang
wiley   +1 more source

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