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Viola seed pod architecture shapes sequential, force-augmented pinching
Many plants explosively launch seeds, but these natural catapults often display inefficient, unpredictable energy transfer in seed ejection. Violets (Viola spp.) address this problem by ejecting seeds successively with consistent propulsive force from a single pod, a strategy that requires sophisticated energy release. In this work, we show that Viola achieves this feat with a simple and compact structure that generates adaptive force augmentation through sequential pinching. Our biological and
2026-06
High-Resolution Microlens-Assisted Tunable n-Type Optical Doping in Monolayer MoS2
Atomically thin two-dimensional transition metal dichalcogenides (2D TMDCs), especially monolayer MoS2, have garnered considerable attention as promising materials for next-generation transistors. However, their large surface-to-volume ratio renders them highly sensitive to defects, underscoring the need for selective, localized, and precise control of their defect profiles. Here, we introduce a laser-assisted microlens array processing (LAMP) technique that enables highly localized n-type optic
2026-06
Polystyrene Nanoplastics Exacerbate CCl4-Induced Liver Fibrosis by Aggravating Stretch-Induced Mechanical Stress in Hepatic Stellate Cells
Although studies on the potential hepatotoxicity of nanoplastic depositions are being conducted, there remains a lack of research on the association between nanoplastic depositions and chronic liver disease. Therefore, this research aimed to explore the influence of polystyrene nanoparticles (PS-NPs) on the progression of liver fibrosis and the mechanisms involved in the hepatic stellate cells (HSCs) activation. Chronic exposure to PS-NPs aggravated CCl4-induced liver fibrosis, as evidenced by e
2026
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Self-Refining Segment Anything Model for Nuclei Segmentation as Contrastive Learning Approach to Label-Efficient Pathological Imaging
Background/Objectives: Precise nuclei instance segmentation is a prerequisite for reliable digital pathology, yet the scarcity of pixel-level annotations remains a significant bottleneck for deep learning models. Methods: We propose a self-evolving framework for robust nuclei segmentation that uses only sparse point annotations, extending the Segment Anything Model (SAM). To overcome the limitations of static pseudo-labels, our method introduces a self-evolving labeling strategy via Exponential
2026-04
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How the Central Dogma and the Theory of Selfish Genes Misled Evolutionary and Medical Sciences in Understanding Multi-factorial Diseases
This synthesis article deconstructs the incorrect interpretations of the Central Dogma of Molecular Biology in popular accounts of Selfish Gene Theory in evolutionary biology and in genomics. “Selfish” in the theory is invalid whether interpreted literally or metaphorically. This deep misinterpretation of twentieth century biology, emphasising the primacy of genes in functionality, has encouraged the search for the genetic origins of major multi-factorial diseases, even in the face of continuing
2025-06
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Applications of flexible and stretchable three-dimensional structures for soft electronics
The development of devices that can be mechanically deformed in geometrical layouts, such as flexible/stretchable devices, is important for various applications. Conventional flexible/stretchable devices have been demonstrated using two-dimensional (2D) geometry, resulting in dimensional constraints on device operations and functionality limitations. Accordingly, expanding the dimensions in which such devices can operate and acquiring unique functionality that is difficult to implement in 2D pla
2023-06
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Recent Advances in Ultra-High-Speed Wireline Receivers with ADC-DSP-Based Equalizers
High-speed wireline data transceivers (TRX) with analog-to-digital converter (ADC) followed by digital signal processor (DSP) on the receiver (RX) equalizer became popular for applications requiring >100 Gb/s per-lane data rate over long-reach (LR) channels, especially for datacenter applications. With the digital-to-analog converter (DAC)-based transmitter (TX) including DSP-based TX signal processing, the overall structure of DAC/ADC-DSP-based wireline TRXs became similar to modulator/demodula
2024-11
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Precise Synchronization Between LiDAR and Multiple Cameras for Autonomous Driving: An Adaptive Approach
LiDAR and camera are crucial perception sensors that provide complementary information for object detection in autonomous driving vehicles. However, the fusion of sensor data to achieve efficient object detection requires accurate calibration and precise time synchronization between the sensors. While calibration ensures the geometric relationship between the sensors, and time synchronization ensures that data from both sensors corresponds to the same moment in the real world. Even though variou
2025-03
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