Results 211 to 220 of about 178,428 (365)

The taxonomy of fossil lyginopteridalean fronds Eusphenopteris neuropteroides and their importance for understanding late Carboniferous floristic changes

open access: yesTAXON, EarlyView.
Abstract Lyginopteridalean fossil fronds found abundantly in deposits of the Pennsylvanian‐age (late Carboniferous) coal swamps have historically been identified as Eusphenopteris neuropteroides. However, these fossils have been referred by Van Amerom to three distinct fossil‐species: E. schumannii, E. neuropteroides and E. leonardii.
Borja Cascales‐Miñana   +2 more
wiley   +1 more source

Tracking exceptional points above the lasing threshold. [PDF]

open access: yesNat Commun, 2023
Ji K   +7 more
europepmc   +1 more source

Study on the Vocal Fold Movement Characteristics of Canine Models With Nerve Paralysis Caused by Different Site Injuries

open access: yesWorld Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objective To explore the specific effects of unilateral injuries to the vagus nerve (VN), recurrent laryngeal nerve (RLN), and superior laryngeal nerve (SLN) on the vocal fold movement characteristics, and investigate the regulation pattern of current intensity on the vocal fold movement after the injuries.
Meng‐Xuan Shi   +2 more
wiley   +1 more source

Atomic Coordination, Chemical Bonding, and Electronic State of Praseodymium in Pr2Si7

open access: yesZeitschrift für anorganische und allgemeine Chemie, EarlyView.
Pr2Si7 is obtained by high‐pressure, high‐temperature synthesis. The topological coordination numbers underline the significance of the silicon partial structure. The homoatomic connectivity within the polyanionic framework in combination with the formation of lone pairs clearly indicates a hypervalent bonding situation for silicon.
Ulrich Schwarz   +5 more
wiley   +1 more source

Enhancing patient rehabilitation predictions with a hybrid anomaly detection model: Density‐based clustering and interquartile range methods

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract In recent years, there has been a concerted effort to improve anomaly detection techniques, particularly in the context of high‐dimensional, distributed clinical data. Analysing patient data within clinical settings reveals a pronounced focus on refining diagnostic accuracy, personalising treatment plans, and optimising resource allocation to ...
Murad Ali Khan   +7 more
wiley   +1 more source

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