Bioinspired twist-hyperbolic metamaterial for impact buffering and self-powered real-time sensing in UAVs.

Turbulence-induced vibrations pose substantial risks to aircraft structural integrity and flight stability, particularly in unmanned aerial vehicles (UAVs), where real-time impact monitoring and lightweight protection are critical. Here, we present a bioinspired twist-hyperbolic metamaterial (THM) integrated with a triboelectric nanogenerator (TENG) for simultaneously impact buffering and self-powered sensing. The THM-TENG protector exhibits tunable stiffness (40 to 4300 newtons per millimeter), ~70% impact energy absorption, and achieves a specific energy absorption of ~0.

Dual-Terminal Molecular Strategy for Robust and Reversible Supramolecular Adhesion.

Achieving strong yet reversible adhesion via minimalist molecular design remains a critical challenge for next-generation supramolecular materials. Here, a dual-end modular adhesion strategy is presented based on a small organic molecule incorporating carboxylic acid and triphenylphosphonium terminals linked by a flexible alkyl spacer. This design enables synergistic noncovalent interactions-including hydrogen bonding, dipole-dipole interactions, and electrostatic forces-to construct a thermally reconfigurable supramolecular network.

The Effects of Goal Disclosure on Deceptive Behaviors.

This study investigates the effect of goal disclosure on deceptive behaviors, along with the underlying psychological mechanisms and moderating factors. The experiment employed a between-subjects design with one independent variable (goal disclosure: public vs. private).

Metabolic potentials of the gut microbes in Antarctic krill ().

Antarctic krill () plays crucial roles in the Southern Ocean biological system, yet the ecological functions of their gut microbiota remain poorly understood. The study investigated the composition and diversity of the gut microbiota in using 16S rRNA gene sequencing, revealing a highly diverse and tissue-specific microbiota. Further investigation through direct metagenomics and culture-enriched metagenomics identified 12 metagenome-assembled genomes (MAGs), which might represent novel species based on their phylogenetic positions, average nucleotide identity (ANI), average amino acid identity (AAI), and relative evolutionary divergence (RED) values.

Multi-target-responsive AIE material for in situ visualization of level 3 features in latent fingerprints.

Background: The development of level 3 features of latent fingerprints (LFPs), such as the shape of ridges and the size of sweat pores, plays a pivotal role in enhancing the matching of damaged fingerprints. However, most current LFP developers exclusively target lipids and typically require mixed-solvent systems, neglecting critical components like amino acids. This limitation, coupled with the inherent degradation of LFP components over time, hinders the reliable visualization of Level 3 features across diverse fingerprint states.

Biodegradation of high-molecular-weight polycyclic aromatic hydrocarbons by a novel species of the genus isolated from the deep-sea region of the Kermadec Trench.

Polycyclic aromatic hydrocarbons (PAHs) are categorized as persistent organic pollutants due to their high toxicity and environmental persistence. In this study, a deep-sea bacterium, designed Naph2, was isolated from the sediments of the Kermadec Trench using PAH-enriched cultures. A comparative analysis of Overall Genome Relatedness Indices (OGRI) values between Naph2 and closely related strains within the genus indicated that the isolate represents a novel species, designated as sp.

Population-specific brain charts reveal Chinese-Western differences in neurodevelopmental trajectories.

Human brain charts provide unprecedented opportunities for decoding neurodevelopmental milestones and establishing clinical benchmarks for precision brain medicine . However, current lifespan brain charts are primarily derived from European and North American cohorts, with Asian populations severely underrepresented. Here, we present the first population-specific brain charts for China, developed through the Chinese Lifespan Brain Mapping Consortium (Phase I) using neuroimaging data from 43,037 participants (aged 0-100 years) across 384 sites nationwide.

Knowledge, attitudes, and practices of Chinese college students towards novel psychoactive substances.

Background: This study aimed to investigate the knowledge, attitudes, and practices (KAP) among Chinese college students regarding novel psychoactive substances (NPS), where practices specifically refer to behaviors related to NPS access and usage patterns.

Methods: An online questionnaire was used to collect demographic information and KAP scores from college students. A total of 1,543 participants were recruited using a combination of targeted and convenience sampling.

Enhancing explainability in Raman spectroscopy classification with SHAP and spectral segmentation.

This study introduces an innovative method for enhancing the interpretability of spectral classification models, named GRASS (Gradient-Region Analyzed Spectral SHAP). By integrating gradient-region analysis with spectral SHAP value quantification, GRASS significantly improves the transparency and physical interpretability of Raman spectroscopy classification decisions. Unlike traditional methods that analyze individual spectral points, GRASS automatically segments high-dimensional spectral data into continuous regions using backpropagation gradient calculations.

Symmetric waveguide structure improves the amplified spontaneous emission characteristics of BUBD-1 molecules.

Symmetric waveguides (SWGs) and asymmetric waveguides (AWGs) with CBP/BUBD-1 blend filmsas the light-emitting layer were prepared. The upper and lower cladding were PMMA and PEDOT:PSS films with/without silver nanoparticles (Ag NPs), and the effects of different waveguide modes on the luminescence and amplified spontaneous emission (ASE) properties of CBP/BUBD-1 blend films were studied. Among the SWG structures containing Ag NPs, the CBP/BUBD-1 blend film obtained the strongest ASE characteristics, achieving an ASE threshold of 0.

Bioinspired Hyperboloid Mechanical Metamaterial for Shock Absorption and Strain Regulation in Cartilage Remodeling.

Inspired by the shock-absorbing capabilities of natural insect elytra, a hyperboloid lattice metamaterial exhibiting unique compression-torsion coupling behavior is designed and fabricated. This structure efficiently converts dynamic loads into strain energy, enabling high-strain elastic deformation. The hyperboloid lattice is integrated with a classic reticulation framework and filled with GelMA hydrogel, creating a tailored osteochondral scaffold with mechanical properties that closely match those of joint tissue.

CPI2 alleviates MSU-induced acute gouty arthritis in mice by inhibiting cathepsin S and the C5a-C5aR1 axis.

Background: Gout, a prevalent and severe form of arthritis precipitated by hyperuricemia, has been the subject of extensive research. However, the intricate underlying mechanisms governing gout-related inflammation are still only partially elucidated. cysteine protease inhibitor 2 (CPI2, abbreviated as CPI2, GenBank No.

A single-cell plume transcriptome atlas of the cold-seep tubeworm Paraescarpia echinospica.

Vestimentiferan tubeworms are representative species in deep-sea chemosynthetic ecosystems. Unlike most animals, these invertebrates lack mouths and digestive systems. Instead, their plumes function as the primary organ for direct metabolic exchange with the environment.

Reduced Cortical Surface Area in the Frontal Operculum as a Causal Risk Predictor for Chronic Pain.

Chronic pain is a prevalent and debilitating condition that imposes substantial personal and societal burdens. Despite its significance, the neural mechanisms underlying individual susceptibility to chronic pain remain inadequately understood. In this study, we examined the prospective associations between 1325 brain structural imaging phenotypes and the future risk of developing chronic pain in a UK Biobank cohort of 5754-5756 participants.

Dysregulations of C1QA, C1QB, C1QC and C5AR1 as candidate biomarkers of vascular dementia.

Vascular dementia (VaD) is the second most common cause of dementia. Few bioinformatic analysis has been done to explore its biomarkers. This study aimed to excavate potential biomarkers for VaD using bioinformatic analysis and validate them at both animal and patient levels.

The effect and mechanism of areca nut in ovarian cancer were investigated based on network pharmacology, molecular docking, and in vitro experiments.

Background: Ovarian cancer ranks as the leading cause of death among gynecological malignancies[1, 2]. Areca nut has demonstrated notable antitumor activity, yet its underlying mechanism remains incompletely understood.

Objective: To explore the potential of areca nut - derived active ingredients in regulating ovarian cancer progression via the PTEN/AKT1 signaling axis.

A self-reporting electrochemical sensor for carbendazim in food based on magnetic molecularly imprinted MOFs.

A novel electrochemical sensor for highly sensitive and selective detection of carbendazim (CBD) in food was proposed in this study. Initially, a three-dimensional carbon composite material (CCM) was formed by simultaneously modifying reduced graphene oxide and reduced graphene nanoribbons on the glassy carbon electrode (GCE) to enhance sensitivity and serve as a stable sensing platform. Then copper nanoparticles were electrodeposited on CCM/GCE, and cyclic voltammetry scanning was performed in potassium ferrocyanide solution to deposit copper-based Prussian blue analogue on CCM/GCE, further improving the sensitivity of the sensor while giving the ability to self-report.

Optimization of the hole-injection layer for quantum dot light-emitting diodes.

Quantum dot light-emitting diodes (QLEDs) are regarded as cornerstones of next-generation display technologies owing to their broad spectral tunability, high color purity, and exceptional efficiency. However, the deep valence band energy levels of quantum dots (QDs) result in a high hole-injection barrier, leading to a charge-injection imbalance and limiting the device performance. This review systematically summarizes the optimization strategies for the hole-injection layer (HIL) in QLEDs, focusing on the design and application of organic single-layer HILs (, PEDOT : PSS), inorganic single-layer HILs (, MoO, NiO, and VO), dual HIL structures (, PEDOT : PSS/metal oxide), and doped HILs (, metal-ion doping and organic-inorganic hybridization).

A scoping review of effects of acute exercise on executive function: evidence from event-related potentials.

Background: Although the acute effects of exercise on executive function are extensively documented in the field of exercise psychology, a thorough assessment of neuroelectric brain activity that is underlying executive function following acute exercise is absent. This systematic review investigated the effects of acute exercise on event-related potentials through their amplitude and latency.

Methods: Six electronic databases were searched from their inception to April 15, 2024.

Epitope Mapping of 3A Protein Using Monoclonal Antibodies.

(SVA), an emerging pathogen causing vesicular disease in pigs, poses a significant threat to the swine industry. The nonstructural protein 3A of SVA plays an essential role in the viral replication cycle. In this study, we immunized mice with the prepared SVA 3A protein and produced two monoclonal antibodies (mAbs), AG4 and 2F3.

Method of Detecting Microorganisms on the Surface of Mandarin Fish Based on Hyperspectral and Information Fusion.

Microorganisms play a key role in fish spoilage and quality deterioration, making the development of a rapid, accurate, and efficient technique for detecting surface microbes essential for enhancing freshness and ensuring the safety of mandarin fish consumption. This study focused on the total viable count (TVC) and levels in the dorsal and ventral parts of fish, and we constructed a detection model using hyperspectral imaging and data fusion. The results showed that comprehensive and simplified models were successfully developed for quantitative detection across all wavelengths.

Deciphering the Heterogeneity of Schizophrenia: A Multimodal and Multivariate Neuroimaging Framework for Unveiling Brain-Symptom Relationships and Underlying Subtypes.

Background And Hypothesis: Schizophrenia manifests large heterogeneities in either symptoms or brain abnormalities. However, the neurobiological basis of symptomatic diversity remains poorly understood. We hypothesized that schizophrenia's diverse symptoms arise from the interplay of structural and functional alterations across multiple brain regions, rather than isolated abnormalities in a single area.