Results 121 to 130 of about 503,273 (296)
This review examines the evolution of bioprinting toward minimally invasive in situ strategies for internal organ regeneration. It defines the technological roadmap from handheld systems to advanced minimally invasive bioprinting platforms, positioning soft robotics as a core enabler.
Duc Tu Vu +9 more
wiley +1 more source
Discovering Interpretable Semantics from Radio Signals for Contactless Cardiac Monitoring
This study presents a semantic representation framework for clinically interpretable cardiac monitoring from contactless radio signals. It formulates radio semantic learning as an information‐bottleneck problem and approximates the objective via intra‐modal compression and cross‐modal alignment, structuring radio measurements into meaningful semantic ...
Jinbo Chen +10 more
wiley +1 more source
Distinct Biotypes of Visual Perception in Major Depressive Disorder
In a discover dataset (272 acute MDD patients), this work identifies a novel depression biotype characterized by impaired visual motion perception, using machine learning clustering. An independent dataset confirms the robustness of this biotype through cross‐validation and demonstrates its generalizability.
Zhuoran Cai +13 more
wiley +1 more source
Neuromodulator Dynamics Underlying Associative Learning in the Ventral Striatum's Olfactory Tubercle
Using fiber photometry and genetically encoded sensors, the dynamic release patterns of four neuromodulators in the olfactory tubercle (OT)—a brain region overlapping with the olfactory cortex and ventral striatum—were systematically monitored in response to external rewards and distinct reward‐associated learning processes.
Maojun Hong +7 more
wiley +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
A Fully Convolutional Deep Auditory Model for Musical Chord Recognition
Chord recognition systems depend on robust feature extraction pipelines. While these pipelines are traditionally hand-crafted, recent advances in end-to-end machine learning have begun to inspire researchers to explore data-driven methods for such tasks.
Korzeniowski, Filip, Widmer, Gerhard
core +1 more source
ABSTRACT This study aims to explore the influence of Wine Tourism (WT) on the Sustainable Performance (SP) of wineries in Spain. It particularly investigates how Corporate Social Legitimacy (CSL) and Green Innovation (GI) may act as intermediary factors in this relationship.
Javier Martínez‐Falcó +3 more
wiley +1 more source
ARSTREAM: A Neural Network Model of Auditory Scene Analysis and Source Segregation [PDF]
Multiple sound sources often contain harmonics that overlap and may be degraded by environmental noise. The auditory system is capable of teasing apart these sources into distinct mental objects, or streams.
Grossberg, Stephen +3 more
core
ABSTRACT The Cordillera Administrative Region in the Philippines is home to terraced rice embedded in centuries of cultural heritage. However, weak market incentives threaten sustained production, jeopardizing indigenous communities' cultural heritage and the in situ biodiversity of rice genetic resources.
Kofi Britwum, Matty Demont
wiley +1 more source
A Neural Network Model of Auditory Scene Anaysis and Source Segregation [PDF]
In environments with multiple sound sources, the auditory system is capable of teasing apart the impinging jumbled signal into different mental objects, or streams, as in its ability to solve the cocktail party problem. A neural network model of auditory
Cohen, Michael +3 more
core +1 more source

