Scaled Vertical-Nanowire Heterojunction Tunnelling Transistors with Extreme Quantum Confinement

Chemistry, Nanoscience, Engineering, Electrical Engineering, Information Science, Semiconductors and Information Devices,
vertical nanowire   heterojunction   tunnelling transistor   quantum confinement   low-voltage operation   high drive current   subthreshold swing  

A Breakthrough in Achieving High-Performance, Energy-Efficient Electronics Using Vertically Scaled Nanowire Heterojunction Tunneling Transistors under Extreme Quantum Confinement Academic Background The rapid development of data-driven computing and artificial intelligence has set higher demands for energy-efficient electronic devices. However, fur...

A Wearable Echomyography System Based on a Single Transducer

Engineering, Electrical Engineering, Information Science, Artificial Intelligence, Medicine, Respiratory System, Neurology, Medical Imaging, Life Sciences, Bioengineering,
wearable devices   echomyography   single transducer   deep learning   muscle activity monitoring   wireless circuit   ultrasound  

Innovative Advances in Wearable Single-Transducer Echomyography Systems: From Muscle Dynamics Monitoring to Complex Gesture Tracking Academic Background and Research Significance In recent years, wearable electronic devices have garnered significant attention for their enormous potential in health monitoring and human-machine interaction. Electromy...

Memristors with Analogue Switching and High On/Off Ratios Using a Van der Waals Metallic Cathode

Physics, Chemistry, Nanoscience, Engineering, Electrical Engineering, Materials Science, Information Science, Semiconductors and Information Devices, Artificial Intelligence,
memristor   van der Waals metal   analogue switching   high on/off ratio   neuromorphic computing   silver ion intercalation   low power consumption  

Research on Analog Memristors with Large On/Off Ratios Using 2D Van der Waals Metallic Cathodes Academic Background With the rapid development of artificial intelligence (AI) applications, traditional Von Neumann architectures are facing performance bottlenecks in data-intensive computing tasks. Neuromorphic computing is an emerging paradigm capabl...

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

Chemistry, Nanoscience, Engineering, Electrical Engineering, Materials Science, Information Science, Semiconductors and Information Devices,
light-emitting diodes   transition metal dichalcogenides   efficiency roll-off   exciton-exciton annihilation   photoluminescence   electroluminescence   quantum efficiency  

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

Physics, Quantum Physics, Condensed Matter Physics, Information Science, Semiconductors and Information Devices,
Fractional Quantum Hall Effect   Molybdenum Disulfide   High Mobility   Cryogenic Electronics   Quantum Computing  

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

Chemistry, Nanoscience, Engineering, Electrical Engineering, Materials Science, Information Science, Semiconductors and Information Devices,
strain engineering   monolayer semiconductors   CMOS-compatible   transistor performance   silicon substrates   silicon nitride   nanoscale devices  

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

Information Science, Artificial Intelligence, Medicine, Psychiatry,
suicide screening   clinical decision support   risk model   randomized clinical trial   suicide prevention   mental health   electronic health record  

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

Information Science, Artificial Intelligence, Medicine, Medical Imaging,
Multimodal Large Language Models   Radiology   Image Interpretation   Accuracy   Medical Imaging   Artificial Intelligence   Diagnostic Tools  

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

Information Science, Artificial Intelligence, Medicine, Medical Imaging, Oncology,
Deep Learning   Breast Cancer Screening   Stand-Alone Reading   Human Reading   UK Cohort  

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 ...

Large Language Model Ability to Translate CT and MRI Free-Text Radiology Reports into Multiple Languages

Information Science, Artificial Intelligence, Medicine, Medical Imaging,
radiology reports   language models   translation accuracy   multilingual support   medical terminology  

Capability of Large Language Models in Translating CT and MRI Free-Text Radiology Reports Academic Background In the context of globalization, the increasing mobility of patients necessitates the translation of radiology reports, which are essential tools for disease diagnosis and management, into various languages. However, language barriers can i...