An On-Chip Full-Stokes Polarimeter Based on Optoelectronic Polarization Eigenvectors

Physics, Optics, Chemistry, Nanoscience, Engineering, Electrical Engineering, Information Science, Electronic Information,
polarimeter   optoelectronic eigenvector   Stokes parameters   on-chip integration   plasmonic metasurface   machine learning   polarization detection  

Research on On-Chip Full-Stokes Polarimeters Based on Optoelectronic Polarization Eigenvectors Academic Background The polarization state of light plays a significant role in optical communication, biomedical diagnostics, remote sensing, cosmology, and other fields. The Stokes vector, consisting of four parameters, is used to fully describe the pol...

Single-Cell RNA Sequencing and Machine Learning Reveal Relationship Between CD8+ T Cells and Uveal Melanoma Metastasis

Medicine, Oncology,
single-cell RNA sequencing   uveal melanoma   metastasis risk   immune microenvironment   CD8+ T cells   machine learning   tumor microenvironment  

Academic Report on “Machine Learning and Single-cell RNA Sequencing Reveal Relationship Between Intratumor CD8+ T Cells and Uveal Melanoma Metastasis” published in Cancer Cell International in 2024 Research Background and Purpose Uveal melanoma (UM) is the most common intraocular malignant tumor in adults. After receiving radiation or surgical trea...

Integrated Single-Cell Multiomic Analysis Reveals Novel Regulators of HIV Latency Reversal

Medicine, Infectious Diseases, Life Sciences, Cell Biology, Genetics,
HIV latency reversal   primary CD4+ T cell   single-cell multiomics   HIV-regulating factor   machine learning  

Comprehensive Single-Cell Multi-Omics Study on HIV Latency Reversal Reveals Novel Regulators of Viral Reactivation This paper, titled “Integrated single-cell multiomic analysis of HIV latency reversal reveals novel regulators of viral reactivation,” was jointly completed by Manickam Ashokkumar, Wenwen Mei, and several other researchers from institu...

Machine Learning for Automating Subjective Assessment of Arm Movement Abnormality After Acquired Brain Injury

Machine Learning for Automating Subjective Assessment of Arm Movement Abnormality After Acquired Brain Injury

Information Science, Artificial Intelligence, Medicine, Orthopedics, Neurology, Medical Imaging, Life Sciences, Bioengineering,
machine learning   acquired brain injury   gait assessment   movement analysis   neurorehabilitation  

Automated Clinical Assessment of Abnormal Walking Movements in ABI Patients Through Image Extraction and Classification Systems Academic Background Walking disability is a common physical impairment following Acquired Brain Injury (ABI). ABI typically includes stroke and traumatic brain injury, with a global incidence of approximately 1.5 million c...

Post-Stroke Hand Gesture Recognition via One-Shot Transfer Learning Using Prototypical Networks

Engineering, Electrical Engineering, Information Science, Artificial Intelligence, Medicine, Neurology, Neurosurgery,
post-stroke   hand gesture recognition   machine learning   prototypical networks   few-shot learning  

Background Introduction Stroke is one of the leading causes of death and disability worldwide, with the total number of stroke patients increasing globally due to population aging and urbanization. Although advances in treatment have reduced mortality rates, the number of survivors requiring rehabilitation has increased significantly. This is parti...