Recent Articles

Open access

ISSN: 2667-3258
CN: 10-1722/N
p-ISSN: 2096-9457

One stone kills two birds: Novel recycled fiber spinning engineering for one-step yarn reinforcement and clean dyeing

Low recycling rates of textile waste and high dyeing energy consumption are two significant challenges for the textile industry in response to the call for Carbon Neutrality. In view of this, we propose...

First Mesozoic entomofauna from the Qinghai-Tibetan Plateau

Molecular identity of the mechanotransduction machinery in inner ear hair cells and mechanotransduction-linked hearing loss

Hearing is among the most sensitive sensory modalities in vertebrates, and its dysfunction can lead to hearing loss. Auditory perception within the inner ear relies on mechanosensitive hair cells and...

Improvement of mechanical properties and mechanism analysis of FMLs by ultrasonic vibration assisted hot press forming

The low forming quality of fiber metal laminates (FMLs) limits their application in the aerospace field. As a fundamental research, FMLs high-quality forming process provides key technical support for...

Seizure type classification algorithm based on multi-dimensional brain network feature selection

Mathematical foundation of the UN(1) quantum geometric tensor

In this paper, we systematically establish the mathematical foundation for the UN(1) quantum geometric tensor (QGT) of mixed states Explicitly, we present a description based on the UN(1) principal...

Future mobile information networks: Fundamental theories, network architectures, key technologies, and key devices

Against the backdrop of the commercialization of 5G-Advanced (5G-A) and the conceptualization of 6G, the Mobile Information Network (MINet)—a futuristic network paradigm centered on extreme connectivity...

Geometric deep learning-enabled metal-binding site identification and grafting

Metal-binding sites can participate in enzymes’ catalytic reactions, as well as in protein folding, stability, and protein-protein interactions. In-depth research on metal-binding sites can aid in identifying...

Regulation of α-bergamotene biosynthesis by the LcDOF5.8-LcTPSbms regulatory module in litchi fruit

Bergamotene, a key sesquiterpene compound, is crucial for defining the fruity aroma. However, the precise regulatory mechanisms governing its biosynthesis have been largely elusive. In this study, we...

DiffRIS: Enhancing referring remote sensing image segmentation with pre-trained text-to-image diffusion models

Referring remote sensing image segmentation (RRSIS) enables the precise delineation of regions within remote sensing imagery through natural language descriptions, serving critical applications in disaster...

Neural network-based interface reconstruction algorithm for two-phase fluid flow

In two-phase fluid flow, the vapor-liquid interface tends to behave as a curved shape under the influence of surface tension. Curve reconstruction favors improving the resolution of bubbles or droplets...

Electronic modulation of PtCo catalysts by topological carbon defects boosting durable oxygen reduction reaction in acidic media

Pt-carbon materials are identified as state-of-the-art electrocatalysts for oxygen reduction reaction (ORR). However, it is still a big challenge to reduce the usage of Pt while maintaining the high...

Photonic biosensors based on nanoparticle superstructures: from data analysis to artificial intelligence (AI) detection

The superstructures formed by the self-assembly of nanoparticles (NPs) can exhibit unique photonic collective properties (structural color, localized surface plasmon resonance [LSPR]), enhance the interaction...

Nonreciprocal quantum optics: New effects and applications in quantum sensing

Recent advancements in quantum techniques have enabled the design and fabrication of nonreciprocal optical devices that operate in the deep quantum regime, where quantum statistical properties play...

Dynamically adjustable topological edge states in thermal diffusion-advection system

Topological edge states offer a powerful platform for understanding and manipulating waves, encompassing classical electromagnetic and acoustic wave systems and condensed matter systems. Though topological...

Label-free proteomics and single-cell mass cytometry analysis of 5 immune tissues from mice with artesunate administration reveal immunosuppression of artesunate via BST2 and MDSCs

Artesunate is a worldwide prevalent antimalarial medicine, which has also been demonstrated for anti-tumor, anti-virus and anti-autoimmune diseases. Yet the underlying molecular and cellular mechanisms...

Identifying ROCK2 as an intervention target for bilirubin encephalopathy

Neonatal bilirubin encephalopathy is primarily characterized by central auditory dysfunction and cognitive impairments. However, the precise molecular mechanisms underlying bilirubin-induced neurotoxicity...

Small-molecule autophagy modulators: Mechanisms, therapeutic potential, and development challenges in pathological settings

Autophagy is an evolutionarily conserved process in eukaryotic cells that delivers intracellular components to lysosomes for degradation and recycling. Increasing evidence has elucidated the regulation...

Development of a one-step office hysteroscopic lightweight artificial intelligence application for subfertility risk stratification of intrauterine adhesions

•Intrauterine adhesions (IUAs) can reduce natural fertility and cause delayed conception in affected patients. Image deep learning methods can assist in managing fertility after the disease.•A codeless...

A novel integrated ESID strategy of critical property-flavor quality attributes of Huangqi Shengmai Yin

There is still a gap between traditional Chinese medicine (TCM) and Western medicine, and it is crucial to build a bridge between them. In this study, taking Huangqi Shengmai Yin as a demonstration,...

Multi-trait genetic analysis identifies novel pleiotropic loci for stroke and hematological traits or risk factors

Accumulating evidence suggests a correlation between stroke and hematological traits along with their associated risk factors, yet the precise shared genetic basis remains elusive. We collected GWAS...

Artificial intelligence for design strategies of tissue engineering materials

In recent years, artificial intelligence (AI), driven by machine learning (ML) and deep learning (DL) algorithms, has fundamentally transformed the design and performance prediction of tissue engineering...

Controlled assembly of exogenous DNA-based materials in living cells

The self-assembly of artificial structures within living cells provides valuable insights into cellular mechanisms and control of cellular functions, thereby contributing to advancements in biomedicine...

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