Results 151 to 160 of about 24,980 (288)

Long‐Term Outcomes of Adult Temporal Bone Fractures With Hearing Loss: Results of a Multinational Database Analysis

open access: yesThe Laryngoscope, EarlyView.
This study uses a large multinational database to examine long‐term outcomes of adult temporal bone fractures. The risk for meningitis, labyrinthitis, facial nerve disorders, and cerebrospinal fluid leaks was elevated after fracture. Cochlear implantation was also more likely after temporal bone fracture.
Jason L. Steele   +7 more
wiley   +1 more source

MobsPy: A programming language for biochemical reaction networks. [PDF]

open access: yesPLoS Comput Biol
Cravo F, Prakash G, Függer M, Nowak T.
europepmc   +1 more source

Effects of (Assisted) Natural Regeneration on Infiltrability and Preferential Flow Pathways in the Khasi Hills (Meghalaya, NE India)

open access: yesLand Degradation &Development, Volume 36, Issue 5, Page 1564-1578, March 2025.
ABSTRACT Intensified slash‐and‐burn cultivation and forest clearing have caused severe land degradation in the Khasi Hills (Meghalaya plateau, NE India). Despite very high annual rainfall, the region faces severe water scarcity during the dry season.
Bob W. Zwartendijk   +5 more
wiley   +1 more source

Comparative Evaluation of Neural Networks and Transfer Learning for Predicting Mechanical Properties of 3D‐Printed Bone Scaffolds

open access: yesMacromolecular Materials and Engineering, EarlyView.
This study compares Convolutional Neural Networks (CNNs) and Transfer Learning (TL) for predicting key mechanical properties (volume fraction, Poisson's ratio, and elastic modulus) of 3D‐printed bone scaffolds. Using image‐based inputs derived from Body Centred Cubic lattice structures, CNNs outperformed ResNet‐based TL models in accuracy. The proposed
S. Mohsen Zahedi   +5 more
wiley   +1 more source

Unveiling the Charisma of Artificial Intelligence: How Voice Assistants Captivate Users and Emotionally Influence User Experience

open access: yesPsychology &Marketing, EarlyView.
ABSTRACT Although studies have explored user experience (UX) with artificial intelligence (AI)‐powered voice assistants (VAs), the cognitive, psychological, and emotional factors affecting user engagement and experience with VAs have yet to be investigated in depth. Drawing on cognitive absorption and broaden‐and‐build theories, this study investigates
Bibaswan Basu   +2 more
wiley   +1 more source

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