The Association Between Posting WeChat Moments and the Risk of Depressive Symptoms Among Middle-Aged and Older Chinese Adults: Prospective National Cohort Study.

Background: The association between social media usage and the risk of depressive symptoms has attracted increasing attention. WeChat is a popular social media software in China. The impact of using WeChat and posting WeChat moments on the risk of developing depressive symptoms among community-based middle-aged and older adults in China is unknown.

Parameter Pool-Assisted Centrifugation Sorter for Multiscale Higher-Order DNA Nanomaterials.

Higher-order DNA nanomaterials have emerged as programmable tools for probing biological processes, constructing metamaterials, and manipulating mechanically active nanodevices with the multifunctionality and high-performance attributes. However, their utility is limited by intricate mixtures formed during hierarchical multistage assembly, as standard techniques like gel electrophoresis lack the resolution and applicability needed for precise characterization and enrichment. Thus, it is urgent to develop a sorter that provides high separation resolution, broad scope, and bioactive functionality.

RMethyMD: An integrated platform for exploring RNA methylation in pan-cancer via a multiomics analysis.

A user-friendly integrated database, RMethyMD (http://www.tmliang.cn/rnamethy), was developed to provide a comprehensive analysis of methylation regulators aimed at facilitating the exploration of molecular features in tumorigenesis and clinical implications in cancer diagnosis and treatment via a multiomics approach.

The Impact of Linguistic Signals on Cognitive Change in Support Seekers in Online Mental Health Communities: Text Analysis and Empirical Study.

Background: In online mental health communities, the interactions among members can significantly reduce their psychological distress and enhance their mental well-being. The overall quality of support from others varies due to differences in people's capacities to help others. This results in some support seekers' needs being met, while others remain unresolved.

Finely Tailored Conjugated Small Molecular Nanoparticles for Near-Infrared Biomedical Applications.

Near-infrared (NIR) phototheranostics (PTs) show higher tissue penetration depth, signal-to-noise ratio, and better biosafety than PTs in the ultraviolet and visible regions. However, their further advancement is severely hindered by poor performances and short-wavelength absorptions/emissions of PT agents. Among reported PT agents, conjugated small molecular nanoparticles (CSMNs) prepared from D-A-typed photoactive conjugated small molecules (CSMs) have greatly mediated this deadlock by their high photostability, distinct chemical structure, tunable absorption, intrinsic multifunctionality, and favorable biocompatibility, which endows CSMNs with more possibilities in biological applications.

High-Efficiency Intrinsically Thermoplastic Semiconducting Polymer with Excellent Strain-Tolerance Capacity for Flexible Ultra-Deep-Blue Polymer Light-Emitting Diodes.

Complex internal stresses that appear in flexible thin-film electronic devices under long-term deformation operation are associated with incompatible mechanical properties of the multiple layers, which potentially cause intralayer fracture and separation. These defects may result in device instability, performance loss, and failure. Herein, a thermoplastic functional strategy is proposed for manufacturing high-performance stretchable semiconducting polymers with excellent strain-tolerance capacities for flexible electronic devices.

An Efficient Cluster-Based Mutual Authentication and Key Update Protocol for Secure Internet of Vehicles in 5G Sensor Networks.

The Internet of Vehicles (IoV), a key component of smart transportation systems, leverages 5G communication for low-latency data transmission, facilitating real-time interactions between vehicles, roadside units (RSUs), and sensor networks. However, the open nature of 5G communication channels exposes IoV systems to significant security threats, such as eavesdropping, replay attacks, and message tampering. To address these challenges, this paper proposes the Efficient Cluster-based Mutual Authentication and Key Update Protocol (ECAUP) designed to secure IoV systems within 5G-enabled sensor networks.

Adaptive Tip Selection for DAG-Shard-Based Federated Learning with High Concurrency and Fairness.

To cope with the challenges posed by high-concurrency training tasks involving large models and big data, Directed Acyclic Graph (DAG) and shard were proposed as alternatives to blockchain-based federated learning, aiming to enhance training concurrency. However, there is insufficient research on the specific consensus designs and the effects of varying shard sizes on federated learning. In this paper, we combine DAG and shard by designing three tip selection consensus algorithms and propose an adaptive algorithm to improve training performance.

High-sensitivity, high-speed, broadband mid-infrared photodetector enabled by a van der Waals heterostructure with a vertical transport channel.

The realization of room-temperature-operated, high-performance, miniaturized, low-power-consumption and Complementary Metal-Oxide-Semiconductor (CMOS)-compatible mid-infrared photodetectors is highly desirable for next-generation optoelectronic applications, but has thus far remained an outstanding challenge using conventional materials. Two-dimensional (2D) heterostructures provide an alternative path toward this goal, yet despite continued efforts, their performance has not matched that of low-temperature HgCdTe photodetectors. Here, we push the detectivity and response speed of a 2D heterostructure-based mid-infrared photodetector to be comparable to, and even superior to, commercial cooled HgCdTe photodetectors by utilizing a vertical transport channel (graphene/black phosphorus/molybdenum disulfide/graphene).

Gas-Releasing Polymer Tubesomes: Boosting Gas Delivery of Nanovehicles via Membrane Stretching.

Hydrogen sulfide (HS), one of the three gas signaling molecules, not only plays a vital role in mediating a series of cellular activities but also manifests exciting applications in clinical therapy. However, one main obstacle in using HS as a gaseous therapeutic agent is to realize on-demand storage and delivery of gas, and thus, it is of great importance to develop HS-donating vehicle platforms. Although a variety of polymer-based gas-releasing carriers have been designed, almost all the systems are limited to spherical structures.

Highly Thermal-Conductive Cubic Boron Arsenide: Single-Crystal Growth, Properties, and Future Thin-Film Epitaxy.

Heat dissipation has become a critical challenge in modern electronics, driving the need for a revolution in thermal management strategies beyond traditional packaging materials, thermal interface materials, and heat sinks. Cubic boron arsenide (c-BAs) offers a promising solution, thanks to its combination of high thermal conductivity and high ambipolar mobility, making it highly suitable for applications in both electronic devices and thermal management. However, challenges remain, particularly in the large-scale synthesis of a high-quality material and the tuning of its physical properties.

Green Catalysis in Nanomaterials-Photocatalysis and Electrocatalysis.

At present, the world is facing urgent challenges of energy shortages and environmental pollution, which drives the need for green and sustainable solutions [...

Single-Atom-Induced Hybridization States Promote the Direct Trapping of Hot Carriers by Reactants for Photocatalysis.

Single-atom manipulation has emerged as an effective strategy for enhancing the photocatalytic efficiency. However, the mechanism of photogenerated carrier dynamics under single-atom modulation remains unclear. Combining first-principles calculations and non-adiabatic molecular dynamics simulations, we systematically studied carrier transfer and recombination in the oxygen reduction reaction of single-atom-doped CN systems.

AIE-Active Circularly Polarized Thermally Activated Delayed Fluorescence Emitters for Stable Solution-Processed Circularly Polarized Electroluminescence.

Circularly polarized organic light-emitting diodes (CP-OLEDs) have significant promise for naked-eye 3D displays. However, most devices are fabricated using vacuum deposition technology, and development of efficient solution-processed CP-OLEDs, particularly those exhibiting low efficiency roll-off, remains a formidable challenge. This research successfully designed and synthesized two pairs of thermally activated delayed fluorescence (TADF) enantiomers through isomer engineering, namely (R/S)-N-5-TPA and (R/S)-N-4-TPA, which features fifth and fourth substitution sites of phthalimide (acceptor) by tri-phenylamine (donor), respectively.

Enhance the Concrete Crack Classification Based on a Novel Multi-Stage YOLOV10-ViT Framework.

Early identification of concrete cracks and multi-class detection can help to avoid future deformation or collapse in concrete structures. Available traditional detection and methodologies require enormous effort and time. To overcome such difficulties, current vision-based deep learning models can effectively detect and classify various concrete cracks.

Design and Study of Pulsed Eddy Current Sensor for Detecting Surface Defects in Small-Diameter Bars.

The design and study of pulsed eddy current sensors for detecting surface defects in small-diameter rods are highly significant. Accurate detection and identification of surface defects in small-diameter rods may be attained by the ongoing optimization of sensor design and enhancement of detection technologies. This article presents the construction of a non-coaxial differential eddy current sensor (Tx-Rx sensor) and examines the detection of surface defects in a small diameter bar.

An Investigation into High-Accuracy and Energy-Efficient Novel Capacitive MEMS for Tire Pressure Sensor Application.

Tire pressure monitoring systems (TPMSs) are essential for maintaining driving safety by continuously monitoring critical tire parameters, such as pressure and temperature, in real time during vehicle operation. Among these parameters, tire pressure is the most significant, necessitating the use of highly precise, cost-effective, and energy-efficient sensing technologies. With the rapid advancements in micro-electro-mechanical system (MEMS) technology, modern automotive sensing and monitoring systems increasingly rely on MEMS sensors due to their compact size, low cost, and low power consumption.

Investigation of Separating Temperature-Induced Structural Strain Using Improved Blind Source Separation (BSS) Technique.

The strain data acquired from structural health monitoring (SHM) systems of large-span bridges are often contaminated by a mixture of temperature-induced and vehicle-induced strain components, thereby complicating the assessment of bridge health. Existing approaches for isolating temperature-induced strains predominantly rely on statistical temperature-strain models, which can be significantly influenced by arbitrarily chosen parameters, thereby undermining the accuracy of the results. Additionally, signal processing techniques, including empirical mode decomposition (EMD) and others, frequently yield unstable outcomes when confronted with nonlinear strain signals.

Annealing Effect on Linear and Ultrafast Nonlinear Optical Properties of BiTe Thin Films.

In recent years, the fabrication of materials with large nonlinear optical coefficients and the investigation of methods to enhance nonlinear optical performance have been in the spotlight. Herein, the bismuth telluride (BiTe) thin films were prepared by radio-frequency magnetron sputtering and annealed in vacuum at various temperatures. The structural and optical properties were characterized and analyzed using X-ray diffraction, scanning electron microscopy, X-ray photoelectron spectroscopy, spectroscopic ellipsometry, and UV/VIS/NIR spectrophotometry.

Benchmark of Data Integration in Single-Cell Proteomics.

Single-cell proteomics (SCP) detected based on different technologies always involves batch-specific variations because of differences in sample processing and other potential biases. How to integrate SCP data effectively has become a great challenge. Integration of SCP data not only requires the conservation of true biological variances, but also realizes the removal of unwanted batch effects.

Unveiling anharmonic scattering in van der Waals semiconductor GaPS through Raman spectroscopy and theoretical calculation.

The van der Waals thiophosphate GaPS presents additional opportunities for gallium-based semiconductors, but limited research on phonon interactions has hindered optimization on thermal properties. This research undertakes a comprehensive investigation into the anharmonic phonon scattering within GaPS. The findings reveal pronounced anharmonic scattering, with both cubic and quartic phonon scatterings significantly influencing phonon redshift and broadening.

P-Dopant with Spherical Anion for Stable n-i-p Perovskite Solar Cells.

Li-TFSI/t-BP is the most widely utilized p-dopant for hole-transporting materials (HTMs) in state-of-the-art perovskite solar cells (PSCs). However, its nonuniformity of doping, along with the hygroscopicity and migration of dopants, results in the devices exhibiting limited stability and performance. This study reports on the utilization of a spherical anion derived from the p-dopant, regulated by its radius and shape, as an alternative to the linear TFSI anion.

Plasmon-enhanced visible photodetectors based on hexagonal boron nitride (hBN) with gold (Au), silver (Ag), and non-alloyed bimetallic (Au/Ag) nanoparticles.

Two-dimensional (2D) hexagonal boron nitride (hBN) has garnered significant attention due to its exceptional thermal and chemical stability, excellent dielectric properties, and unique optical characteristics, making it widely used in deep ultraviolet (DUV) applications. However, the integration of hBN with plasmonic materials in the visible region (532 nm) has not been fully explored, particularly in terms of morphology regulation and size control of mono- and bimetallic nanoparticles (BMNPs) namely gold (Au), silver (Ag) and Au-Ag. A Schottky junction-based metal-semiconductor contact configuration is employed to achieve hot-carrier reflections on the metal side, enhancing the quantum efficiency of the photodetector.

Artificial molecular communication network based on DNA nanostructures recognition.

Artificial simulated communication networks inspired by molecular communication in organisms use biological and chemical molecules as information carriers to realize information transmission. However, the design of programmable, multiplexed and general simulation models remains challenging. Here, we develop a DNA nanostructure recognition-based artificial molecular communication network (DR-AMCN), in which rectangular DNA origami nanostructures serve as nodes and their recognition as edges.