Results 141 to 150 of about 175,199 (292)

Detecting Dengue in Flight: Leveraging Machine Learning to Analyze Mosquito Flight Patterns for Infection Detection

open access: yesAdvanced Biology, EarlyView.
Dengue infection alters mosquito flight behavior, enabling detection using machine learning classifiers. This study analyzes 3D flight trajectories and evaluates multiple models, showing that longer sequence lengths improve classification performance.
Nouman Javed   +3 more
wiley   +1 more source

Infrared Neural Stimulation Elicits Distinct Molecular Pathways in Astrocytes Based on Laser Pulse Parameters

open access: yesAdvanced Biology, EarlyView.
Infrared (IR) light evokes distinct calcium and water transport responses in astrocytes, depending on stimulation duration and protocol. This study uses widefield imaging and pharmacology to reveal differential engagement of astroglial signaling pathways.
Wilson R. Adams   +7 more
wiley   +1 more source

Unrolling of Syngonium podophyllum: Functional Anatomy, Morphology and Modelling of Its Peltate Leaves

open access: yesAdvanced Biology, EarlyView.
The unrolling of the peltate leaves in Syngonium podophyllum is analyzed and quantified (left‐hand side to center). These measurements serve to verify a mathematical model for leaf unrolling based on the model used in Schmidt (2007). An additional formula for obtaining a layer mismatch from a prescribed radius is derived.
Michelle Modert   +4 more
wiley   +1 more source

Loss of Stat3 in Prx1+ Progenitors Impairs Molar Root Development

open access: yesAdvanced Biology, EarlyView.
Stat3 critically regulates mandibular first molar and alveolar bone morphogenesis. Conditional ablation of Stat3 disrupts the osteogenic capacity of Prx1+ mesenchymal progenitors, as evidenced across in vivo and in vitro models. Abstract Signal Transducer and Activator of Transcription 3 (Stat3) acts as a central transcriptional modulator coordinating ...
Xin Feng   +10 more
wiley   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

open access: yesAdvanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani   +2 more
wiley   +1 more source

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