Injectable visible light cross-linking aldehyde-based methacrylated hyaluronic acid hydrogels enhance cartilage repair via improved BMSC homing and chondrogenic differentiation.

Self-repair of articular cartilage defects is a significant challenge that can be addressed using drug-infused hydrogels, which improve injection convenience and provide immediate in situ adhesion. In this study, we developed a hydrogel incorporating Lipo@Kartogenin (KGN) and the cationic functional peptide SKPPGTSS (SKP) linked to aldehyde-based methacrylated hyaluronic acid (AHAMA). The innovative injectable hydrogel responded to visible light, allowing cross-linking under white light (∼30 s) and effective adhesion to cartilage tissue.

Primary ciliary protein kinase A activity in the prefrontal cortex modulates stress in mice.

Primary cilia are cellular antennae emanating from vertebrate cell surfaces to sense and transduce extracellular signals intracellularly to regulate cell behavior and function. However, their signal sensing and physiological functions in neocortical neurons remain largely unclear. Here, we show that, in response to various animal stressors, primary cilia in the mouse prefrontal cortex (PFC) exhibit consistent axonemal elongation.

WO/Ru@CeO Bilayer Gas Sensor for ppb-Level Xylene Detection Based on a Catalytic-Sensitive Synergistic Mechanism.

Volatile aromatic hydrocarbons present a significant threat to both the environment and human health. However, due to the low reactivity of toxic gases containing benzene rings and insufficient selectivity of existing sensors, real-time monitoring of benzene series (BTEX) gases remains a challenge. The development of catalytically sensitive synergistic bilayer sensors offers a promising strategy to overcome this challenge.

Relaxed Optimal Control With Self-Learning Horizon for Discrete-Time Stochastic Dynamics.

The innovation of optimal learning control methods is profoundly propelled due to the improvement of the learning ability. In this article, we investigate the synthesis of initialization and acceleration for optimal learning control algorithms. This approach contrasts with traditional methods that concentrate solely on either the improvement of initialization or acceleration.

Event-Triggered Adaptive Finite-Time Control for a Robotic Manipulator System With Global Prescribed Performance and Asymptotic Tracking.

This article studies the dynamic event-triggered adaptive finite-time tracking control issue for a robotic manipulator (RM) system with disturbances. First, a new global prescribed performance function (PPF) is designed based on a scaling function such that the tracking error evolves within the constrained bounds and the restriction related to the initial conditions is removed. Then, the finite-time command filter (FTCF) is used to avoid the direct derivations of virtual controllers and the singularity issue of the conventional backstepping technique.

Self-triggered neural tracking control for discrete-time nonlinear systems via adaptive critic learning.

In this paper, a novel self-triggered optimal tracking control method is developed based on the online action-critic technique for discrete-time nonlinear systems. First, an augmented plant is constructed by integrating the system state with the reference trajectory. This transformation redefines the optimal tracking control design as the optimal regulation issue of the reconstructed nonlinear error system.

Transmission Control Protocol (TCP)-Based Delay Tolerant Networking for Space-Vehicle Communications in Cislunar Domain: An Experimental Approach.

The integrated heterogeneous 7G/8G networks may face multiple challenges for reliable data delivery such as link disruption, intermittent link availability, long latency and a highly lossy channel. Delay tolerant networking (DTN) was proposed as a highly reliable networking technology for space networks that will be part of future 7G/8G networks. In this paper, an experimental evaluation of transmission control protocol (TCP)-based DTN (i.

Van der Waals quantum dots on layered hexagonal boron nitride.

Semiconductor quantum dots (QD) promise unique electronic, optical, and chemical properties, which can be exquisitely tuned by controlling the composition, size, and morphology. Semiconductor QDs have been synthesized primarily via two approaches, namely, epitaxial growth and wet-chemical synthesis. However, the properties of epitaxial QDs (eQDs) are susceptible to wetting layer formation and substrate dislocations, while colloidal QDs (cQDs) face fluorescence intermittency issues.

Machine Learning for Chromatin Regulators in Coronary Artery Disease Diagnosis.

Objective: This study aims to investigate the mechanisms underlying the role of chromatin regulator-related genes (CRRGs) in coronary artery disease (CAD) and develop a diagnostic model for CAD.

Methods: We downloaded CAD datasets from the GEO database and utilized R software for machine learning, modeling, and classification of CAD based on CRRGs.

Results: The random forest model was found to be the best approach, identifying USP44, MOCS1, SSRP1, ZNF516, and SCML1 as the top contributing genes for CAD diagnosis and prevention.

Neural-network-based accelerated safe Q-learning for optimal control of discrete-time nonlinear systems with state constraints.

For unknown nonlinear systems with state constraints, it is difficult to achieve the safe optimal control by using Q-learning methods based on traditional quadratic utility functions. To solve this problem, this article proposes an accelerated safe Q-learning (SQL) technique that addresses the concurrent requirements of safety and optimality for discrete-time nonlinear systems within an integrated framework. First, an adjustable control barrier function is designed and integrated into the cost function, aiming to facilitate the transformation of constrained optimal control problems into unconstrained cases.

Enhancing wind power forecasting accuracy through LSTM with adaptive wind speed calibration (C-LSTM).

Wind power constitutes a pivotal component in the quest for carbon neutrality, serving as a principal renewable energy source. Enhancing the accuracy of wind power forecasting facilitates more efficient exploitation of this resource, with deep-learning models, notably Long Short-Term Memory (LSTM), proving effective in advancing forecasting capabilities within this domain. Nevertheless, the accuracy of wind power forecasting is undermined by the inaccurate forecasted wind speed, which diminish the reliability of such predictions.

Orally Administrated Precision Nanomedicine for Restoring the Intestinal Barrier and Alleviating Inflammation in Treatment of Inflammatory Bowel Disease.

Inflammatory bowel disease (IBD) presents a significant challenge in healthcare, characterized by its chronicity and complex pathogenesis involving genetic, immune, and environmental factors. Current treatment modalities, including anti-inflammatory drugs, immunomodulators, and biologics, often lack sufficient efficacy and are accompanied by adverse effects, necessitating the urgent search for therapeutic approaches targeting mucosal barrier restoration and inflammation modulation. Precision nanomedicine emerges as a promising solution to directly address these challenges.

Logical Analysis of Multiple miRNAs with Isothermal Molecular Classifiers Based on LATE-RCA.

Logical analysis of multiple-miRNA expression information and immediate output of diagnostic results facilitates early cancer detection. In this work, we constructed an isothermal molecular classifier capable of performing computations on multiple miRNAs and directly providing diagnosis results. First, we developed linear-after-the-exponential rolling circle amplification (LATE-RCA), a nearly linear isothermal amplification that does not destroy the original quantitative information about miRNAs.

Iron/phosphorus co-doped carbon nanozyme for colorimetric sensing of organophosphorus pesticides in food.

In this work, a peroxidase-like (POD-like) nanozyme of Fe/P-NC was synthesized by doping phosphorus (P) and nitrogen (N) to manipulate iron (Fe) activity centers, which showed catalytic activity and kinetics comparable to those of natural HRP. Based on the efficient POD-like activity of the Fe/P-NC nanozyme and cascaded catalytic reactions with acetylcholinesterase (AChE), we constructed a colorimetric, affordable and sensitive sensing platform to detect organophosphorus pesticides (OPs). In the presence of AChE, the POD-like activity of the prepared Fe/P-NC was suppressed, which weakened the Fe/P-NC-catalyzed oxidation of TMB.

Increasing a Quitline's Reach to Low-Income Tobacco Users Through 211 Agencies.

Introduction: Low-income individuals bear a disproportionate share of the burden of tobacco use. This study tested the feasibility of increasing a quitline's reach to low-income tobacco users by collaborating with 211 information and referral agencies, which primarily serve people experiencing economic hardship.

Aims And Methods: Study participants (N = 114 888) were adult tobacco users referred to the California quitline by 211 agencies, referred by healthcare clinics, or self-referred from April 17, 2021 to December 31, 2023.

Delay/Disruption Tolerant Networking Performance Characterization in Cislunar Relay Communication Architecture.

Future 7G/8G networks are expected to integrate both terrestrial Internet and space-based networks. Space networks, including inter-planetary Internet such as cislunar and deep-space networks, will become an integral part of future 7G/8G networks. Vehicle-to-everything (V2X) communication networks will also be a significant component of 7G/8G networks.

Micronucleus counts correlating with male infertility: a clinical analysis of chromosomal abnormalities and reproductive parameters.

Investigating the correlation between micronucleus formation and male infertility has the potential to improve clinical diagnosis and deepen our understanding of pathological progression. Our study enrolled 2252 male patients whose semen was analyzed from March 2023 to July 2023. Their clinical data, including semen parameters and age, were also collected.

Bufadienolides from Chansu Injection Synergistically Enhances the Antitumor Effect of Erlotinib by Inhibiting the KRAS Pathway in Pancreatic Cancer.

The Chansu injection (CSI), a sterile aqueous solution derived from Chansu, is applied in clinical settings to support antitumor and anti-radiation treatments. CSI's principal active components, bufadienolides (≥90%), demonstrate potential effects on pancreatic cancer (PDAC), but their underlying mechanisms remain unclear. This study aimed to elucidate the antitumor effects and pathways associated with CSI in PDAC.

Eicosapentaenoic acid enhances intestinal stem cell-mediated colonic epithelial regeneration by activating the LSD1-WNT signaling pathway.

Introduction: Inflammatory bowel disease (IBD) is often associated with impaired proliferation and differentiation of intestinal stem cells (ISCs). Eicosapentaenoic acid (EPA), which is predominantly found in fish oil, has been recognized for its intestinal health benefits, although the potential mechanisms are not well understood.

Objectives: This study aimed to investigate the regulatory role and mechanism of EPA in colonic epithelial regeneration, specifically from the perspective of ISCs.

Role of air sinuses in sound reception of the Yangtze finless porpoise: A numerical study.

Although air sinuses are prevalent in odontocetes and are an integral component of their sound reception system, the acoustic function of these air-filled structures remains largely unknown. To address this, we developed a numerical model using computed tomography data from a Yangtze finless porpoise (Neophocaena asiaeorientalis asiaeorientalis) to investigate the role of the air sinuses in sound reception. By comparing sound reception characteristics between model cases with and without the air sinuses, we found that the air sinuses improved sound reception directivity.

Cold-blooded vertebrate utilizes behavioral fever to alleviate T cell apoptosis and optimize antimicrobial immunity.

Fever confers significant survival benefits on endotherms by optimizing both innate and adaptive immunity. Ectotherms achieve thermoregulation using behavioral strategies, but existing evidence supports its enhancement effect on innate immunity only. Therefore, it remains unknown whether the coordination between fever and adaptive immunity was independently acquired by endotherms or instead represents a gradually evolved function common to vertebrates.

Zr-MOFs (UIO-66-NH)@Fluorinated Graphene for Developing Highly Antiwear, Friction-Reduction Lubricating Additives.

Fluorinated graphene (FG) among numerous two-dimensional materials has enormous potential in improving antifriction properties. However, they being susceptible to thermal oxidation and prone to wear hinder practical applications. Herein, UIO-66-NH (Zr-MOF) enjoying good chemical and thermal stabilities was assembled on the surface of FG nanosheets under covalent bonds and van der Waals forces.

A reconfigurable memristor diode based on a CuInPS/graphene lateral heterojunction.

The conventional reconfiguration of transistors requires an additional independent terminal for controllable gate input, which complicates the device structure and makes circuit integration difficult. In this work, we propose a reconfigurable diode based on a 2D layered copper indium thiophosphate (CIPS) and graphene (Gr) van der Waals lateral heterojunction, exhibiting distinctively bias-dependent reconfiguration. The reconfiguration characteristics include reversible memristive behaviors with a current on/off ratio of about 10 and switchable rectifying polarity with a rectifying ratio of up to 3 × 10.

Cardioprotective effect of injection against Doxorubicin-induced cardiotoxicity by network pharmacology analysis and experimental verification.

Doxorubicin (Dox) is widely utilized in the clinical treatment of various cancers. Despite its efficacy, Dox induces numerous adverse effects in humans with significant cardiotoxicity, posing a major limitation to its use. injection (SII), derived from , exhibits notable anti-inflammatory and anti-oxidative stress properties.