Identifying Diagnostic Biomarkers for Autism Spectrum Disorder Using the PED Algorithm

Identifying Diagnostic Biomarkers for Autism Spectrum Disorder Using the PED Algorithm

Identifying Diagnostic Biomarkers for Autism Spectrum Disorder using the PED Algorithm In the field of neuroinformatics, research on Autism Spectrum Disorder (ASD) predominantly focuses on the bidirectional connectivity between brain regions, with fewer studies addressing higher-order interaction anomalies among brain regions. To explore the comple...

Enhanced Spatial Fuzzy C-Means Algorithm for Brain Tissue Segmentation in T1 Images

Research Report on the Enhanced Spatial Fuzzy C-Means Algorithm for Brain Tissue Segmentation Academic Background Magnetic Resonance Imaging (MRI) plays a vital role in neurology, particularly in the precise segmentation of brain tissue. Accurate tissue segmentation is crucial for diagnosing brain injuries and neurodegenerative diseases. Segmenting...

Teaching Research Data Management with DataLad: A Multi-Year, Multi-Domain Effort

Multi-Year, Multi-Disciplinary Efforts in Scientific Research Data Management Education Research Background With the development of modern neuroscience, Research Data Management (RDM) has become an indispensable skill for scientists. However, despite the importance of research data management for scientific research, such technical skills are often...

MRIO: The Magnetic Resonance Imaging Acquisition and Analysis Ontology

MRIO: The Magnetic Resonance Imaging Acquisition and Analysis Ontology

MRIO: A Magnetic Resonance Imaging Acquisition and Analysis Ontology Magnetic Resonance Imaging (MRI) is a biomedical imaging technology used to non-invasively visualize internal structures of tissues in three-dimensional space. MRI is widely used in studying the structure and function of the human brain and is a powerful tool for diagnosing neurol...

Hands-On Neuroinformatics Education at the Crossroads of Online and In-Person: Lessons Learned from Neurohackademy

Neurohackademy: Combining Online and Offline Neurological Informatics Education Background Introduction In recent years, human neuroscience has entered an era of big data. Due to initiatives like the Human Connectome Project and the Adolescent Brain Cognitive Development (ABCD) study, scientists have acquired datasets of previously unimaginable sca...

Pound–Drever–Hall Feedforward: Laser Phase Noise Suppression Beyond Feedback

Special Report: Pound–Drever–Hall Feedforward Technique: Laser Phase Noise Suppression Beyond Feedback Authors: Yu-Xin Chao, Zhen-Xing Hua, Xin-Hui Liang, Zong-Pei Yue, Li You, Meng Khoon Tey Institution: State Key Laboratory of Low-Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing, China Journal: Optica Publication D...

Ultra-Narrow-Linewidth Hybrid-Integrated Self-Injection Locked Laser at 780 nm

Research Report on Hybrid Integrated Ultra-Narrow Linewidth Self-Injection Locking 780nm Laser Background In modern technology, narrow linewidth lasers play an essential role in various applications, including classical and quantum sensing, ion trap systems, positioning/navigation/timing systems, optical clocks, and microwave frequency synthesizers...

Low Loss Fiber-Coupled Volumetric Interconnects Fabricated via Direct Laser Writing

Background Introduction Photon integrated circuits (PICs) are significant for achieving high-speed data transmission. However, traditional photon integrated circuits, which only use a single plane or a limited number of stacked planes, are restricted in optical signal routing. Additionally, coupling losses need to be as low as possible for practica...

High-speed High-power Free-space Optical Communication via Directly Modulated Watt-class Photonic-crystal Surface-emitting Lasers

High-speed High-power Free-space Optical Communication via Directly Modulated Watt-class Photonic-crystal Surface-emitting Lasers

High-Speed High-Power Free-Space Optical Communication: Direct Modulation of Watt-Level Photonic Crystal Surface-Emitting Lasers Background Introduction As a vital light source for optical communication, semiconductor lasers are widely used due to their small size, low cost, long lifespan, and high efficiency. For example, vertical-cavity surface-e...

Hyperspectral In-Memory Computing with Optical Frequency Combs and Programmable Optical Memories

Hyperspectral In-Memory Computing and Applications of Optical Frequency Comb and Programmable Optical Memory Introduction In recent years, breakthroughs in machine learning have driven revolutionary developments in various industries, including healthcare, finance, retail, automotive, and manufacturing. These transformations have led to a surge in ...