Turbulent-nonturbulent interfaces in spatially developing compressible turbulent boundary layers.

An investigation of the characteristics of the turbulent-nonturbulent interface (TNTI) in spatially developing compressible turbulent boundary layers is performed by using a direct numerical simulation. The mean thicknesses of the TNTI layer δ_{TNTI} is approximately 13η_{ref} (η_{ref} is the Kolmogorov scale taken from a location of 0.3δ_{ref} from the outer edge of the TNTI layer, where δ_{ref} is the nominal thickness of the boundary layer) and the two components of the TNTI layer, viscous superlayer δ_{VSL} and turbulent sublayer δ_{TSL}, are approximately 3.

Self-Powered Flexible Triboelectric Nanogenerators for Real-Time, Adaptive Gesture-Based Emergency Communication.

The triboelectric nanogenerator (TENG) represents a distinctive energy harvesting technology. However, polymer-based TENG faces substantial challenges in retaining stable triboelectric output and structural robustness across temperature extremes and humidity gradients. These limitations stem from inherent material degradation and interfacial charge dissipation under harsh conditions.

Pressure encryption toward physically uncopiable anti-counterfeiting.

Current optical anti-counterfeiting technologies are mainly limited to materials with multicolor emissions, where the encryption method is only through photoexcitation. It brings about a huge risk for counterfeiting once these materials are reproduced. Here, we introduce a robust pressure encryption as the pressure engineering secret key to strengthen current optical anti-counterfeiting technique from pressure-induced emission luminogens.

Two-stage optimization based on heterogeneous branch fusion for knowledge distillation.

Knowledge distillation transfers knowledge from the teacher model to the student model, effectively improving the performance of the student model. However, relying solely on the fixed knowledge of the teacher model for guidance lacks the supplementation and expansion of knowledge, which limits the generalization ability of the student model. Therefore, this paper proposes two-stage optimization based on heterogeneous branch fusion for knowledge distillation (THFKD), which provides appropriate knowledge to the student model in different stages through a two-stage optimization strategy.

A reliable prognostic model for hepatocellular carcinoma using neutrophil extracellular traps and immune related genes.

Neutrophil extracellular traps (NETs) and immunity play critical roles in liver hepatocellular carcinoma (LIHC) progression, but their mechanisms remain unclear. This study explored the potential of NETs-related genes (NETs-RGs) and immune-related genes (IRGs) as prognostic markers for LIHC. LIHC transcriptome data and IRGs were obtained from public databases, and NETs-RGs were derived from prior research.

Bacterial cellulose-based functional yarns: from design to applications.

Bio-polymer bacterial cellulose, with its renewable and carbon neutral nature, superior biocompatibility, tailorable surface chemistry, high purity and mechanical properties, has attracted wide attention from basic science to technical applications. In this review, benefiting from its unique physicochemical properties, superior weaving ability, easy processing and molding, an up-to-date account of the recent advancements in bacterial cellulose-derived functional yarns and their emerging applications in reinforcement materials, flexible wearables, energy storage and conversion, as well as antibacterial and discolored textiles is provided for the first time. Firstly, this work systematically summarizes the basic characteristics, formation strategies and preparation processes of bacterial cellulose and derived bio-based yarns.

Self-Trapped Excitons or Bi Ions for Broad Emission in a Lead-Free Double Perovskite? Hearing What Pressure Says.

The broad emission origin of lead-free double perovskites with ns-metal ion doping remains a long-standing controversy. Herein, pressure is introduced as a robust tool to determine the mechanism of broad emission from CsAgInBiCl nanocrystals (NCs). The negative correlation between the crystal field strength and broad emission wavelength under compression corroborates that the broad emission is indeed attributed to the radiative recombination of self-trapped excitons, ruling out Bi emission from P ( = 0, 1, or 2) to S as an alternative mechanism.

UV-Induced Photochromic Macrofibers Derived from Bacterial Cellulose.

The emergence of photochromic fibers has created numerous opportunities in the realm of intelligent textiles and functional materials. However, commercially accessible photochromic fibers are predominantly produced from petroleum-based polymers, which contradicts the current emphasis on sustainability and minimizing carbon emissions. In this work, eco-friendly and fast-reversible photochromic bio-based bacterial cellulose (BC) macrofibers that are combined with 2,2,6,6-Tetramethylpiperidine-1-oxy (TEMPO) -oxidized BC (TOBC) nanofibers and spirooxazine-based photochromic microcapsules (PM) through amide reaction via a simple wet spinning strategy, are developed.

Effects of different natural organic matter on catalytic properties of green rust: Mechanism and environmental significance.

Natural organic matter (NOM) has an important impact on the environmental behaviors of iron minerals, such as green rust (GR), however, NOM with different types and concentrations on these phenomena and mechanisms are still limited. This study explored effects of two common NOM (humic acid (HA) and fulvic acid (FA)) on the physicochemical properties of GR as well as the catalytic degradation of Bisphenol F (BPF). Results indicated that both HA and FA had a critical impact on the mineralization process and catalytic performance of GR, and the impact was concentration-dependent.

Facile Integration of Bacterial Cellulose with Liquid Crystal Elastomers Enables Robust Biomimetic Helical Yarn Actuators.

Inspired from helical structures in nature, liquid crystal elastomer (LCE) fiber actuators are developed for soft robotics and smart wearables. However, the facile development of robust LCE yarn actuators remains challenging due to the lightly cross-linked networks of LCE with the inherently poor mechanical properties. Here, the bionic helical yarn actuator is constructed through integrating the shape-morphing LCE fiber as the actuation phase and the highly ordered orientation biomass bacterial cellulose (BC) macrofibers as the reinforcement phase by a facile twisting and two-step cross-linking strategy.

Abnormal Blueshift of Mn d-d Emission Unlocked by Decreasing Phonon Coupling under High Pressure.

Mn d-d emission has been a star transition-metal activated phosphors that were extensively used in optoelectronic devices. However, due to the complex and elusive luminescence mechanism, the full potential of this material remains largely untapped. Here, we designed a core-shell structure of MnS@CdS quantum dots (QDs) to investigate the effect of the internal strain on the Mn emission.

Detection of cervical cell based on multi-scale spatial information.

Cervical cancer poses a significant health risk to women. Deep learning methods can assist pathologists in quickly screening images of suspected lesion cells, greatly improving the efficiency of cervical cancer screening and diagnosis. However, existing deep learning methods rely solely on single-scale features and local spatial information, failing to effectively capture the subtle morphological differences between abnormal and normal cervical cells.

Research progress and prospect of key technologies of fruit target recognition for robotic fruit picking.

It is crucial for robotic picking fruit to recognize fruit accurately in orchards, this paper reviews the applications and research results of target recognition in orchard fruit picking by using machine vision and emphasizes two methods of fruit recognition: the traditional digital image processing method and the target recognition method based on deep learning. Here, we outline the research achievements and progress of traditional digital image processing methods by the researchers aiming at different disturbance factors in orchards and summarize the shortcomings of traditional digital image processing methods. Then, we focus on the relevant contents of fruit target recognition methods based on deep learning, including the target recognition process, the preparation and classification of the dataset, and the research results of target recognition algorithms in classification, detection, segmentation, and compression acceleration of target recognition network models.

Nanocellulose-based functional materials towards water treatment.

Water resources are important ecological resources for human survival. To date, advanced water purification technology has become one of the focus of global attention due to the continuous deterioration of the environment and the serious shortage of freshwater resources. Recently, nanocellulose, as a kind of sustainable and carbon-neutral biopolymer, has not only the properties of cellulose, but also the important nature of nanomaterials, including large specific surface area, tailorable surface chemistry, excellent mechanical flexibility, biodegradability, and environmental compatibility.

A Dual-Band Patch Antenna with Combined Self-Decoupling and Filtering Properties and Its Application in Dual/Squad-Band Two-Element MIMO Array.

This paper proposes a dual-band patch antenna with combined self-decoupling and filtering properties, designed to suppress mutual coupling between two antenna elements both within the same dual-band and across different dual-bands. Initially, a dual-band aperture-coupled filtering patch antenna is designed, featuring a forked short-circuited SIR feedline with a quarter-wavelength open-ended stub and a U-shaped patch with two U-slots, which generate three controllable radiation nulls while introducing two additional resonant modes. The design steps are also provided in detail.

An Integrated Navigation Method Aided by Position Correction Model and Velocity Model for AUVs.

When autonomous underwater vehicles (AUVs) perform underwater tasks, the absence of GPS position assistance can lead to a decrease in the accuracy of traditional navigation systems, such as the extended Kalman filter (EKF), due to the accumulation of errors. To enhance the navigation accuracy of AUVs in the absence of position assistance, this paper proposes an innovative navigation method that integrates a position correction model and a velocity model. Specifically, a velocity model is developed using a dynamic model and the Optimal Pruning Extreme Learning Machine (OP-ELM) method.

Biomass confined gradient porous Janus bacterial cellulose film integrating enhanced radiative cooling with perspiration-wicking for efficient thermal management.

Sophisticated structure design and multi-step manufacturing processes for balancing spectra-selective optical property and the necessary applicable performance for human thermal-wet regulation, is the major limitation in wide application of radiative cooling materials. Herein, we proposed a biomass confinement strategy to a gradient porous Janus cellulose film for enhanced optical performance without compromising thermal-wet comfortable. The bacterial cellulose confined grow in the micro-nano pores between PP nonwoven fabric and SiO achieving the cross-scale gradient porous Janus structure.

Corrigendum: Development of mini-barcode based on chloroplast genome and its application in metabarcoding molecular identification of Chinese medicinal material Radix (Chishao).

[This corrects the article DOI: 10.3389/fpls.2022.

Discovery of delayed gas production after implantation of a continuous-flow left ventricular assist device and a preliminary exploration of the mechanisms of its occurrence.

Objective: To characterize the gas production phenomenon in the animal model of left ventricular assist device (LVAD), and study its mechanism.

Methods: An bubble precipitation experiment was conducted, and the blood samples of Parma spp. animals were divided into ordinary group and oxygen-enriched group according to whether they were oxygenated or not at the time of blood collection, and a static control group was set up respectively.

Blue light emission enhancement and robust pressure resistance of gallium oxide nanocrystals.

Exploration of pressure-resistant materials largely facilitates their operation under extreme conditions where a stable structure and properties are highly desirable. However, under extreme conditions, such as a high pressure over 30.0 GPa, fluorescence quenching generally occurs in most materials.

The CoREST complex regulates multiple histone modifications temporal-specifically in clock neurons.

Epigenetic regulation is important for circadian rhythm. In previous studies, multiple histone modifications were found at the () locus. However, most of these studies were not conducted in clock neurons.

Multistage feature fusion knowledge distillation.

Generally, the recognition performance of lightweight models is often lower than that of large models. Knowledge distillation, by teaching a student model using a teacher model, can further enhance the recognition accuracy of lightweight models. In this paper, we approach knowledge distillation from the perspective of intermediate feature-level knowledge distillation.

LKRSDH-dependent histone modifications of insulin-like peptide sites contribute to age-related circadian rhythm changes.

To understand aging impact on the circadian rhythm, we screened for factors influencing circadian changes during aging. Our findings reveal that LKRSDH mutation significantly reduces rhythmicity in aged flies. RNA-seq identifies a significant increase in insulin-like peptides (dilps) in LKRSDH mutants due to the combined effects of H3R17me2 and H3K27me3 on transcription.