Deep Reconstruction Framework with Self-Calibration Mechanisms for Accelerated Chemical Exchange Saturation Transfer Imaging

Application of the Deep Reconstruction Framework with Self-Calibration Mechanisms (DEISM) in Accelerated Chemical Exchange Saturation Transfer Imaging Academic Background Chemical Exchange Saturation Transfer (CEST) imaging is a highly sensitive molecular magnetic resonance imaging technique capable of detecting biomolecules associated with various...

Heart Rate and Body Temperature Relationship in Children Admitted to PICU - A Machine Learning Approach

Machine Learning Study on the Relationship Between Heart Rate and Body Temperature in Pediatric Intensive Care Units Academic Background In the pediatric intensive care unit (PICU), heart rate (HR) and body temperature (BT) are crucial clinical indicators that reflect a patient’s physiological status. Although the relationship between HR and BT has...

Self-Supervised Feature Detection and 3D Reconstruction for Real-Time Neuroendoscopic Guidance

Self-Supervised Feature Detection and 3D Reconstruction for Real-Time Neuroendoscopic Guidance

Research on Real-Time 3D Reconstruction and Navigation in Neuroendoscopy Based on Self-Supervised Learning Academic Background Neuroendoscopic surgery, as a minimally invasive surgical technique, is widely used in the treatment of deep brain lesions, such as endoscopic third ventriculostomy (ETV), choroid plexus cauterization, and cyst fenestration...

Estrogen Deficiency Alters Vascularization and Mineralization Dynamics: Insight from a Novel 3-D Humanized and Vascularized Bone Organoid Model

The Impact of Estrogen Deficiency on Vascularization and Mineralization Dynamics—Insights from a Novel 3D Humanized and Vascularized Bone Organoid Model Academic Background Osteoporosis is a common bone disease, particularly prevalent among postmenopausal women. Osteoporosis not only manifests as a reduction in bone mass but also involves changes i...

Effects of Algorithmic Transparency on User Experience and Physiological Responses

The Impact of Algorithmic Transparency on User Experience and Physiological Responses Academic Background With the rapid development of Affective Computing technology, Affect-aware Task Adaptation systems have gradually become a research hotspot. These systems recognize users’ psychological states through various measurements (e.g., physiological s...

Phonetically-Anchored Domain Adaptation for Cross-Lingual Speech Emotion Recognition

Phonetic-Anchored Domain Adaptation in Cross-Lingual Speech Emotion Recognition Academic Background Speech Emotion Recognition (SER) has broad application prospects in intelligent agents, social robots, voice assistants, and automated call center systems. With the development of globalization, the demand for cross-lingual SER is increasing. However...

Facial 3D Regional Structural Motion Representation Using Lightweight Point Cloud Networks for Micro-Expression Recognition

3D Regional Structural Motion Representation Using Lightweight Point Cloud Networks for Micro-Expression Recognition Academic Background Micro-expressions (MEs) are brief and subtle facial expressions in human emotional expression, typically lasting between 1⁄25 and 1⁄5 of a second. Due to their spontaneity, rapidity, and difficulty to control, mic...

Latent Circuit Inference from Heterogeneous Neural Responses during Cognitive Tasks

Inferring Latent Neural Circuits from Heterogeneous Neural Responses During Cognitive Tasks Academic Background In cognitive tasks, higher cortical areas of the brain (such as the prefrontal cortex, PFC) are responsible for integrating a variety of sensory, cognitive, and motor signals. However, the responses of individual neurons often exhibit com...

Dynamical Constraints on Neural Population Activity

Temporal Dynamics Constraints on Neural Population Activity: Computational Mechanisms of Neural Activity Revealed by Brain-Computer Interfaces Academic Background How neural activity in the brain evolves over time is a central issue in understanding sensory, motor, and cognitive functions. For a long time, network models have posited that the brain...

A Distinct Hypothalamus–Habenula Circuit Governs Risk Preference

Study on the Hypothalamus-Habenula Circuit Regulating Risk Preference Academic Background In complex and uncertain environments, animals need to assess risks to make survival-favorable decisions. When faced with safe and risky options, animals usually exhibit a strong preference for one option, which remains consistent over time. However, how this ...