A Microgripper Based on Electrothermal Al–SiO2 Bimorphs

Research on Electrothermally Driven Al-SiO₂ Bimorph Microgripper Academic Background Microgrippers play a crucial role in assembly and manipulation at the micro and nano scales, with wide applications in microelectronics, MEMS (Micro-Electro-Mechanical Systems), and biomedical engineering. To ensure the safe handling of delicate materials and micro...

Rapid 3D Imaging at Cellular Resolution for Digital Cytopathology with a Multi-Camera Array Scanner (MCAS)

Rapid 3D Imaging at Cellular Resolution for Digital Cytopathology with a Multi-Camera Array Scanner (MCAS)

Rapid 3D Imaging at Cellular Resolution for Digital Cytopathology with a Multi-Camera Array Scanner (MCAS) Academic Background Optical microscopy has long been the standard method for diagnosis in cytopathology. However, traditional whole-slide scanners, while capable of automatically imaging and digitizing large sample areas, are slow and expensiv...

Scalable Production of Ultraflat and Ultraflexible Diamond Membrane

Scalable Production of Ultraflat and Ultraflexible Diamond Membranes Academic Background Diamond, as a material with exceptional physical properties, holds significant potential in various fields such as electronics, photonics, mechanics, thermotics, and acoustics. However, despite substantial progress in diamond research over the past decades, the...

Growth-Based Monolithic 3D Integration of Single-Crystal 2D Semiconductors

Research on Growth-Based Monolithic 3D Integration of Single-Crystal 2D Semiconductors Academic Background With the rapid development of the modern electronics industry, three-dimensional (3D) integration technology has gradually become an important means to enhance the performance of electronic devices. Traditional two-dimensional (2D) integrated ...

Foundation Model of ECG Diagnosis: Diagnostics and Explanations

Research on ECG Diagnosis Foundation Model Based on Signal-Language Architecture Academic Background Cardiovascular disease (CVD) is the leading cause of death worldwide, and early identification of high-risk populations is crucial. The electrocardiogram (ECG), a non-invasive, cost-effective, and widely used diagnostic tool, is recorded over 300 mi...

Toward Optimal Disease Surveillance with Graph-Based Active Learning

Toward Optimal Disease Surveillance with Graph-Based Active Learning Academic Background With the acceleration of globalization, the speed and scope of infectious disease transmission have significantly increased. How to effectively monitor and control the spread of infectious diseases has become a critical issue in public health. Traditional disea...

Parallel Mechanical Computing: Metamaterials That Can Multitask

Parallel Mechanical Computing: Metamaterials That Can Multitask Academic Background Decades after being replaced by digital computing platforms, analog computing has regained significant interest due to advancements in metamaterials and intricate fabrication techniques. Particularly, wave-based analog computers, which perform spatial transformation...

Basis Restricted Elastic Shape Analysis Framework for Surfaces

# Basis Restricted Elastic Shape Analysis on the Space of Unregistered Surfaces ## Introduction Analyzing three-dimensional (3D) surfaces has become increasingly important in computer vision, driven by the emergence of high-accuracy 3D scanning devices. These devices have significantly increased the availability of 3D data, enabling applications in...

Improving 3D Finger Traits Recognition via Generalizable Neural Rendering

Summary of FingerNeRF-Based 3D Finger Biometrics Research Report Background and Research Significance With the advancement of biometric technologies, three-dimensional (3D) biometrics have become a promising research direction due to their higher accuracy, robust anti-spoofing capabilities, and resistance to variations in capture angles. Among thes...

A Memory-Assisted Knowledge Transferring Framework with Curriculum Anticipation for Weakly Supervised Online Activity Detection

Research Background and Significance In recent years, weakly supervised online activity detection (WS-OAD), as an important topic in high-level video understanding, has garnered widespread attention. Its primary goal is to detect ongoing activities frame-by-frame in streaming videos using only inexpensive video-level annotations. This task holds si...