Light-Emitting Diodes Based on Intercalated Transition Metal Dichalcogenides with Suppressed Efficiency Roll-Off at High Generation Rates

Research Report on Light-emitting Diodes Based on Intercalated Transition Metal Dichalcogenides with Suppressed Efficiency Roll-off at High Generation Rates Background and Research Significance In recent years, light-emitting diodes (LEDs) based on two-dimensional (2D) materials have shown promising applications in fields such as display technology...

Fractional Quantum Hall Phases in High-Mobility n-Type Molybdenum Disulfide Transistors

Research Report on the Paper on Fractional Quantum Hall Phases in High Mobility n-Type Molybdenum Disulfide Transistors Background and Motivation At low temperatures, field-effect transistors (FETs) based on semiconducting transition metal dichalcogenides (TMDs) theoretically provide high carrier mobility, strong spin-orbit coupling, and intrinsic ...

CMOS-Compatible Strain Engineering for Monolayer Semiconductor Transistors

CMOS-Compatible Strain Engineering in Monolayer Semiconductor Transistors Academic Background With the continuous advancement of semiconductor technology, two-dimensional (2D) materials have garnered significant attention for their atomic-level thinness, which makes them ideal for high-density, low-power electronic devices. Among them, transition m...

Risk Model–Guided Clinical Decision Support for Suicide Screening: A Randomized Clinical Trial

Clinical Decision Support Guided by Risk Models in Suicide Screening: A Randomized Clinical Trial Academic Background Suicide prevention is a crucial topic in global public health, particularly in healthcare environments where identifying and intervening in suicide risks are top priorities. Traditional methods for identifying suicide risks rely mai...

Evaluation of Multimodal Large Language Models' Accuracy in Interpreting Radiologic Images

Performance of Large Language Models in Radiology Image Interpretation: A Comparative Study with Human Readers Academic Background In recent years, large language models (LLMs) have demonstrated powerful capabilities in various fields, particularly in natural language processing. With the development of multimodal LLMs, these models can now handle ...

Deep Learning Algorithms for Breast Cancer Detection in a UK Screening Cohort: As Stand-Alone Readers and Combined with Human Readers

Deep Learning Algorithms in Breast Cancer Screening Academic Background Breast cancer is one of the most common cancers among women worldwide, and early screening is crucial for improving cure rates. Traditional Computer-Aided Detection (CAD) systems have been widely used in mammographic screening, particularly in the United States. However, while ...