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In a complex network, the identification of node influence and the localization of key nodes play a crucial role in analyzing network structure and determining the positioning of nodes for information transmission control, resource redistribution, and network regulation. In this study, we propose a method for identifying influential nodes called “Multi-order Neighbors and Exclusive Neighborhood” (MNEN) after analyzing and investigating existing methods in the field. The MNEN method calculates a node’s influence based on two factors: the node itself, its neighboring nodes, and its exclusive neighborhood. The influence of the node itself is determined by its degree value and K-shell ( Ks ) value, while the influence contribution of the neighbor node is calculated based on its degree value, Ks value, and the contribution from its exclusive neighbor node. To evaluate the algorithm’s performance, we employ the SIR model as the benchmark and conduct simulation experiments to validate the MNEN method, comparing the results with other influential node identification methods. Our analysis demonstrates that the algorithm accurately identifies influential nodes in networks of different scales, yielding a positive overall impact and demonstrating a certain level of universality.

Precise 3D perception is critical for indoor robotics, augmented reality, and autonomous navigation. However, existing multi-frame depth estimation methods often suffer from significant performance degradation in challenging indoor scenarios characterized by weak textures, non-Lambertian surfaces, and complex layouts. To address these limitations, we propose MonoPrior-Fusion (MPF), a novel framework that integrates pixel-wise monocular priors directly into the multi-view matching process. Specifically, MPF modulates cost-volume hypotheses to disambiguate matches and employs a hierarchical fusion architecture across multiple scales to propagate global and local geometric information. Additionally, a geometric consistency loss based on virtual planes is introduced to enhance global 3D coherence. Extensive experiments on ScanNetV2, 7Scenes, TUM RGB-D, and GMU Kitchens demonstrate that MPF achieves significant improvements over state-of-the-art multi-frame baselines and generalizes well across unseen domains. Furthermore, MPF yields more accurate and complete 3D reconstructions when integrated into a volumetric fusion pipeline, proving its effectiveness for dense mapping tasks. The source code will be made publicly available to support reproducibility and future research.

The rigidity and relatively primitive modes of operation of catheters equipped with sensing or actuation elements impede their conformal contact with soft-tissue surfaces, limit the scope of their uses, lengthen surgical times and increase the need for advanced surgical skills. Here, we report materials, device designs and fabrication approaches for integrating advanced electronic functionality with catheters for minimally invasive forms of cardiac surgery. By using multiphysics modelling, plastic heart models and Langendorff animal and human hearts, we show that soft electronic arrays in multilayer configurations on endocardial balloon catheters can establish conformal contact with curved tissue surfaces, support high-density spatiotemporal mapping of temperature, pressure and electrophysiological parameters and allow for programmable electrical stimulation, radiofrequency ablation and irreversible electroporation. Integrating multimodal and multiplexing capabilities into minimally invasive surgical instruments may improve surgical performance and patient outcomes. Soft multilayer electronic arrays on endocardial balloon catheters allow for multiplexed high-density spatiotemporal sensing and actuation, as shown in perfused ex vivo hearts.

This study explores the impact of flap gaps on aircraft cabin vibrations, focusing on the dynamic responses of flap structures under aerodynamic excitations. Flaps are crucial for aircraft control, especially during takeoff and landing. Common issues in flap systems, such as wear on slide tracks, bearing clearances, and bushing slippage, introduce gaps that amplify vibration amplitudes. A time–domain method, employing a spring–beam model, was used to convert aerodynamic loads into structural loads, providing detailed insights into flap dynamics and their influence on the aircraft. Computational fluid dynamics software was utilized to calculate aerodynamic force distributions, and the effects of varying gap sizes on constraint forces and vibration responses were analyzed. The results indicate that increasing gap width reduces the maximum constraint force at the flap, altering the vibration characteristics. The study also reveals that higher vibration responses occur in the fore section of the fuselage due to modal superposition of frequencies near those of the flap support forces. Enhancing the stiffness of gap elements can mitigate abnormal vibrations, thereby improving aircraft performance and passenger comfort. This paper offers a quantitative analysis of the effects of flap gaps, serving as a technical reference for diagnosing faults based on cabin vibrations. These findings are critical for advancing aircraft design and maintenance practices, contributing to improved safety and reliability under extreme flight conditions.

This study investigated the roles and mechanisms of PINK1 activity in neonatal hypoxia-induced seizures with shRNA intervention targeting translocase outer mitochondrial membrane 7 (TOM7), the positive regulator of PINK1 autophosphorylation, or overlapping with the m-AAA protease 1 homolog (OMA1), the negative regulator of PINK1 autophosphorylation. Studies have suggested that in hypoxia-induced neonatal seizures, the phosphorylation level of PINK1 is significantly increased and the mitophagic pathway is activated, accompanied by neuronal damage and learning-memory deficits. Inhibiting PINK1 phosphorylation by reducing TOM7 expression alleviated mitophagy, mitochondrial oxidative stress, neuronal damage and seizures. In contrast, the inhibition of OMA1 expression resulted in a further increase in PINK1 phosphorylation and aggravated hypoxia-induced seizures and neuronal injury. This study implicated PINK1 activity in neonatal hypoxia and suggest that attenuated PINK1 autophosphorylation may have neuroprotective and anti-seizure effects in neonatal hypoxia.

AimsRates of acute mental health presentations in youth were rising pre-pandemic internationally. Longitudinal studies following Covid-19 attest to ongoing deterioration in youth mental health, recognising adverse unintended consequences following public health restrictions.This study aimed to examine whether the initial reported post-Covid-19 increase in mental health presentations persisted following the reclassification of Covid-19 to endemic status, which was accompanied by removal of most restrictions.MethodsAll referrals to paediatric liaison psychiatry (PLP) between Jan 2018–Dec 2022 in a Dublin tertiary children's hospital were included in the study. An interrupted time series analysis was conducted examining referrals with respect to different phases of Covid-19 and application of public health restrictions.Results1,385 referrals to PLP were received over the 5-year study time-period. There was a significant decrease in PLP referrals immediately post Covid-19, following a significant and sustained increase as the pandemic progressed. Public health restriction phases had a unique effect on those presenting with suicidal ideation, with a significant increase in the number of referrals received. There was no effect of restrictions on other clinical profiles.ConclusionIncreased referrals for youth with mental health difficulties, reported during the Covid-19 pandemic, persisted into the early endemic stage, after Covid-19 public health restriction have ceased. Potential impacts of restrictions on referrals of youth with suicidal ideation require further study. Investment in child and adolescent mental health services remain a priority, and future pandemic responses need to examine unintended consequences of any enforced public health measure.

Conventional synthetic materials have fixed mechanical properties and suffer defects, damage, and degradation over time. This makes them unable to adapt to changing environments and leads to limited lifecycles. Recently, self-adaptive materials inspired by natural materials have emerged as a solution to address these problems. With the ability to change their mechanical properties based on changing mechanical environments, repairing defects, and maintaining their mechanical properties, these materials can lead to improved performance while decreasing waste. In this review, we explore self-adaptive phenomena found in nature that have inspired the development of synthetic self-adaptive materials, and the mechanisms that have been employed to create the next generation of materials. The potential applications of these materials, the challenges that existing approaches face, and future research opportunities are also discussed.

In addition to mechanical compliance, achieving the full potential of on-skin electronics needs the introduction of other features. For example, substantial progress has been achieved in creating biodegradable, self-healing, or breathable, on-skin electronics. However, the research of making on-skin electronics with passive-cooling capabilities, which can reduce energy consumption and improve user comfort, is still rare. Herein, we report the development of multifunctional on-skin electronics, which can passively cool human bodies without needing any energy consumption. This property is inherited from multiscale porous polystyrene-blockpoly(ethylene-ran-butylene)-block-polystyrene (SEBS) supporting substrates. The multiscale pores of SEBS substrates, with characteristic sizes ranging from around 0.2 to 7 μm, can effectively backscatter sunlight to minimize heat absorption but are too small to reflect human-body midinfrared radiation to retain heat dissipation, thereby delivering around 6 °C cooling effects under a solar intensity of 840 W·m−2. Other desired properties, rooted in multiscale porous SEBS substrates, include high breathability and outstanding waterproofing. The proof-of-concept bioelectronic devices include electrophysiological sensors, temperature sensors, hydration sensors, pressure sensors, and electrical stimulators, which are made via spray printing of silver nanowires on multiscale porous SEBS substrates. The devices show comparable electrical performances with conventional, rigid, nonporous ones. Also, their applications in cuffless blood pressure measurement, interactive virtual reality, and human–machine interface are demonstrated. Notably, the enabled on-skin devices are dissolvable in several organic solvents and can be recycled to reduce electronic waste and manufacturing cost. Such on-skin electronics can serve as the basis for future multifunctional smart textiles with passive-cooling functionalities.

Background COVID-19 saw an increase in child mental health presentations internationally. Clinicians analogised the exponential increase in anorexia nervosa to a ‘tsunami’ or ‘outbreak’, raising parallel concerns regarding medical and psychological risks (Marsh in The Guardian, 2021 ; Leask in NZ Herald, 2021 ; Monteleone et al. in Eat Weight Disord 26(8):2443–2452, 2021 ) . It is unclear whether Ireland emulated this picture of increased referrals with increased medical compromise. Aims This paper examines both rates and clinical profiles of child eating disorder presentations in the Republic of Ireland (ROI), across different clinical settings. Methods Following ethical approval, retrospective chart reviews were conducted in a community eating disorder service and in two paediatric hospital settings. The time frame of the different studies ranged from January 2016 to December 2022. Results Community eating disorder services saw significantly higher referral rates post COVID-19 (3.78/month vs. 2.31/month, p  = 0.02), with a shorter duration of illness (4.8 months vs. 7.4 months, p  = 0.001), but no significant difference in ideal body weight % (IBW%) at referral (85.32% vs. 83.7%, p  = 0.1). Both paediatric hospitals witnessed significantly increased referrals post-COVID-19 (hospital 1; 4.38/month vs. 1.93/month, p  = 0.0001; hospital 2; 2.8/month vs. 0.92/month, p  < 0.0001), but no significant difference in IBW% at assessment (hospital 1; 82.7% vs. 81.39%, p  = 0.673; hospital 2; 81.5% vs. 83%, p  = 0.563). There was no significant difference in clinical profile, management, or duration of hospital stay. Conclusions This study supports the growing consensus of a pandemic specific increase in eating disorder referrals to both medical and psychiatry services. However, there was little to indicate a change in clinical profile or severity. Ongoing monitoring of referrals is necessary to ensure adequate service availability and expertise.

Highly accurate indoor localization systems with absolute mm positioning accuracy are currently expensive. They include laser trackers, total stations, and motion capture systems relying on multiple high-end cameras. In this work, we introduce a high-accuracy, planar indoor localization system named GroundGazer (GG) for autonomous mobile robots (AMRs). GG estimates the AMR's planar position with mm and its heading with sub-degree accuracy. The system requires only a monocular (fisheye) camera, a chessboard floor, and an optional laser diode. Our system is simple and low-cost due to the chessboard floor, robust, scalable to multiple robots, and extendable to 3D position and orientation estimation.