Results 161 to 170 of about 68,401 (348)

Incidence of sports-related sternoclavicular joint dislocations in the United States over the last two decades. [PDF]

open access: yesWorld J Orthop, 2023
Sandler AB   +7 more
europepmc   +1 more source

Multimodal Locomotion in Insect‐Inspired Microrobots: A Review of Strategies for Aerial, Surface, Aquatic, and Interfacial Motion

open access: yesAdvanced Robotics Research, EarlyView.
This review identifies key design considerations for insect‐inspired microrobots capable of multimodal locomotion. To draw inspiration, biological and robotic strategies for moving in air, on water surfaces, and underwater are examined, along with approaches for crossing the air–water interface.
Mija Jovchevska   +2 more
wiley   +1 more source

Reliability of Upright Chest Radiography as a Diagnostic Screening Tool for Acromioclavicular Joint Dislocations. [PDF]

open access: yesOrthop J Sports Med, 2023
Chaichana T   +4 more
europepmc   +1 more source

Polylactic Acid (PLA), Polycaprolactone (PCL), and Chitosan: the Biodegradable Transition in Medical Waste Management

open access: yesAdvanced Sustainable Systems, EarlyView.
The shift to biodegradable materials in healthcare promises reduced plastic pollution, but their production, adoption, and long‐term impacts remain complex. Integrating lifecycle insights with global policy coordination is essential for meaningful environmental gains. Abstract The COVID‐19 pandemic sharply increased medical waste, intensifying concerns
By Haoxuan Yu   +2 more
wiley   +1 more source

Fracture Detectives: A Fracture Review Match Game [PDF]

open access: yes, 2020
Hana, Gina, Sudario, Gabriel
core  

A unique case of popliteal artery transection after a motorcycle collision [PDF]

open access: yes, 2017
Carrillo, Eddy H   +6 more
core   +2 more sources

Leveraging Transfer Learning to Overcome Data Limitations in Czochralski Crystal Growth

open access: yesAdvanced Theory and Simulations, EarlyView.
A data‐driven framework combining Computational Fluid Dynamics (CFD) simulations and machine learning is proposed to model and optimize Czochralski crystal growth. Using different transfer learning strategies (Warm Start, Merged Training, and Hyperparameter Transfer) the study demonstrates improved predictions for Ge and GaAs growth from Si‐trained ...
Milena Petkovic   +3 more
wiley   +1 more source

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