Passivity and Synchronization for Fuzzy Coupled Reaction-Diffusion Neural Networks With Multiweights.

This article is concerned with passivity and synchronization for fuzzy coupled reaction-diffusion neural networks (FCRDNNs) with multistate couplings or multiple spatial-diffusion couplings. First, by utilizing an adaptive state feedback controller, several passivity criteria for the FCRDNNs with multistate couplings are obtained. Moreover, a sufficient condition to guarantee the synchronization for the multistate coupled FCRDNNs is also given on the basis of the devised adaptive state feedback control scheme.

Efficacy of Motor Imagery in the Treatment of Poststroke Dysphagia: A Systematic Review and Meta-Analysis.

Background: Poststroke dysphagia impairs patients' quality of life and survival. Motor imagery (MI) is increasingly used as a rehabilitation adjunct, but its efficacy requires validation. This study aims to evaluate MI's effectiveness in treating poststroke dysphagia.

Impaired glymphatic function in relation to cumulative blood glucose exposure: A population-based cohort study.

Objective: The relationship between prolonged blood glucose exposure and glymphatic system function of the brain remains unknown. This study aimed to investigate the association between cumulative blood glucose levels and neuroimaging metrics associated with glymphatic function.

Methods: This study was conducted in a multicenter, community-based cohort study.

Silicon-rhodamine-enabled identification for near-infrared light controlled proximity labeling in vitro and in vivo.

Advancement in fluorescence imaging techniques enables the study of protein dynamics and localization with unprecedented spatiotemporal resolution. However, current imaging tools are unable to elucidate dynamic protein interactomes underlying imaging observations. Conversely, proteomics tools such as proximity labeling enable the analysis of protein interactomes at a single time point but lack information about protein dynamics.

An ultra-wide-field fundus image dataset for intelligent diagnosis of intraocular tumors.

Retinal fundus photographs are now widely used in developing artificial intelligence (AI) systems for the detection of various fundus diseases. However, the application of AI algorithms in intraocular tumors remains limited due to the scarcity of large, publicly available, and diverse multi-disease fundus image datasets. Ultra-wide-field (UWF) fundus images, with a broad imaging range, offer unique advantages for early detection of intraocular tumors.

Integrated analysis of 16 S endophytic bacteria and non-targeted metabolomics reveals the drought response mechanisms of Portulaca Oleracea L.

Background: Drought is currently one of the biggest challenges facing global agricultural production. Purslane ( L.) has attracted widespread attention due to its exceptional drought resistance.

An eyecare foundation model for clinical assistance: a randomized controlled trial.

In the context of an increasing need for clinical assessments of foundation models, we developed EyeFM, a multimodal vision-language eyecare copilot, and conducted a multifaceted evaluation, including retrospective validations, multicountry efficacy validation as a clinical copilot and a double-masked randomized controlled trial (RCT). EyeFM was pretrained on 14.5 million ocular images from five imaging modalities paired with clinical texts from global, multiethnic datasets.

A prodrug strategy for sustained release of lactic acid from silicone elastomer vaginal rings.

Lactic acid is the most abundant organic weak acid in the healthy human vagina and plays a pivotal role in maintaining an acidic vaginal environment protective against exogenous bacteria and viruses. However, in dysbiotic or non-optimal vaginal environments, significantly decreased concentrations of lactobacilli result in reduced lactic acid production, increased vaginal pH, and enhanced risk of sexually transmitted infections (including human immunodeficiency virus), and bacterial vaginosis. Various gel-based products are marketed to administer lactic acid vaginally for the treatment of bacterial vaginosis and non-hormonal contraception, and there is interest in developing vaginal ring products for sustained/controlled release of lactic acid.

Theoretical Investigation of Quantum Size Effect on the Electronic Structure and Photoelectric Properties for Graphdiyne Nanotubes.

In this paper, the electronic structure and photoelectric properties of graphdiyne nanotubes with armchair (A-GDYNT) and zigzag (Z-GDYNT) types have been studied. Calculations show that as n decreases, the divergence in gap values between (n)-A-GDYNT and (n)-Z-GDYNT increases. This is mainly attributed to the edge effect arising from their different boundaries.

Ferrimagnetism in ionic liquid cation intercalated [Formula: see text].

The electrochemical intercalation is one of most powerful tools for tuning the intrinsic properties of quasi-two-dimensional (2D) materials. In this work, ionic organic cations, [Formula: see text] and [Formula: see text], are successfully intercalated into [Formula: see text] interlayer via electrochemical intercalation. The both [Formula: see text] and [Formula: see text] intercalated [Formula: see text] samples show ferrimagnetic transition with the transition temperature of 65 K and 85 K, respectively.

Use of hydrophilic pharmaceutical excipients to modulate release of metal ions from silicone elastomers.

Silicone elastomers based on polydimethylsiloxane are biocompatible and non-biodegradable thermosetting polymers used in various drug delivery applications, including subdermal implants, vaginal rings, and intrauterine devices. Without exception, all marketed silicone elastomer drug delivery products provide sustained or controlled release of highly hydrophobic small drug molecules, since drug solubility in the silicone matrix is a prerequisite for molecular diffusion and release. We are interested in developing multipurpose silicone elastomer vaginal rings for local administration of metal ions-such as copper and zinc-for non-hormonal contraception and antimicrobial therapy.

A biologically-based regulatory method for the lignin phenol monomers to specific components and electron transfer capacity of humic substances.

The lignin was degraded into phenol and then oxidized into quinones of chemical structure of humic substances (HS) in the polyphenol pathway, and it was considered a crucial process contributing to redox capabilities of HS. However, the microbial formation and degradation of lignin phenol monomers, and their effects on the humification process remains unclear. In this study, p-hydroxybenzoic acid, syringic acid), 4-coumaric acid, and ferulic acid were found to significantly influenced the electron transfer capacity (ETC) of HS.

Predicting Radiation Pneumonitis Integrating Clinical Information, Medical Text, and 2.5D Deep Learning Features in Lung Cancer.

Purpose: To construct a prediction model for radiation pneumonitis (RP) in lung cancer patients based on clinical information, medical text, and 2.5D deep learning (DL) features.

Methods And Materials: A total of 356 patients with lung cancer from the Heping Campus of the First Hospital of China Medical University were randomly divided at a 7:3 ratio into training and validation cohorts, and 238 patients from 3 other centers were included in the testing cohort for assessing model generalizability.

Adaptation and validation of Chinese version of the creativity and innovation effectiveness profile.

Aim: This study aimed to adapt and validate the Creativity and Innovation Effectiveness Profile (CIEP) for Chinese nursing students, developing a culturally contextualized tool to systematically assess and enhance creativity in alignment with China's educational and cultural contexts.

Background: Given the rapid evolution of global healthcare driven by advances in technology, clinical practice, and patient care models, fostering innovation in nursing education has become imperative. While China has demonstrated a growing emphasis on cultivating nursing students' innovative capabilities, there remains a persistent lack of validated instruments specifically designed to evaluate these competencies within this population.

Fluorinated Pseudo-Halide Anion Enables >19% Efficiency and Durable Perovskite Quantum Dot Solar Cells.

Metal halide perovskite quantum dots (PQDs), like formamidinium lead triiodide (FAPbI), hold significant promise for next-generation photovoltaics. Surface manipulation of PQDs has been extensively reported to be crucial to their photovoltaic performance due to the dynamic binding of capping long-chain ligands. In this work, an efficient surface engineering strategy employing a multifunctional fluorinated pseudo-halide anion ligand, hexafluorophosphate (PF ) is reported for achieving efficient FAPbI PQD solar cells.

Protocol for a Randomized, Open-Label, Multicenter, Parallel-Controlled Study Evaluating Modified Double Filtration Plasmapheresis for the Treatment of Septic Shock.

Introduction: Septic shock (SS) is defined as sepsis-induced hypotension persisting despite adequate fluid resuscitation. Modified double filtration plasmapheresis (M-DFPP) is a promising therapeutic approach designed to selectively remove small-to-medium molecular weight inflammatory mediators while preserving essential plasma proteins, potentially restoring immune balance and stabilizing hemodynamics in patients with SS.

Methods: Eligible patients diagnosed with SS will be enrolled in this randomized controlled trial.

Core-fucosylated glycoproteins as biomarkers for diagnosing pancreatic ductal adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) is highly malignant, with a five-year survival rate of only 12 %. Exact diagnosis and intervention are critical for improving patient prognosis. Core fucosylation (CF) of proteins plays a vital role in the progression of various cancers, including PDAC.

Correlation between carotid artery ultrasound parameters and lacunar infarction.

Objective: This study aims to investigate the correlation between the imaging characteristics of lacunar infarction (LI) and carotid artery ultrasound parameters within a community-based population.

Methods: A total of 630 participants were included to undergo brain MRI and carotid ultrasound examinations, with their demographic and clinical characteristics systematically documented. Ultrasound imaging was used to quantify the structural, hemodynamic, and stiffness parameters of the common carotid artery (CCA) and internal carotid artery (ICA).

RB-Care: An Artificial Intelligence System for Automatic Quantitative Assessment and Surveillance of Retinoblastoma.

Purpose: Accurate assessment and surveillance of retinoblastoma (RB) require more efficient and objective measurements. This study aims to develop an artificial intelligence (AI) system, named RB-Care, for automatic classification and quantitative assessment of RB.

Methods: A total of 3730 wide-field fundus images were included for the development and validation of 2 models in RB-Care.

Wood-Inspired Dynamic Covalent Cross-Linking Network for Ultrahigh Adhesion Strength, Desired Weather Resistance, and Closed-Loop Recycling Adhesives.

The problems of strength-toughness trade-off and stability-switchability conflict make it a huge challenge to integrate exceptional adhesion and desired recycling performances into a single system. Inspired by wood cellulose molecular chain structure, a parallel-ordered dynamic boronic esters cross-linking network is presented by using 4-dimethylaminopyridine as a countercation stabilizing the boron center to induce boric acid to form ionic spiroborate linkage with linear hydroxyl-decorated epoxy polymer. The ionic spiroborate polymer network has a high cross-linking degree to contribute to structural stability and adhesion strength.

Accurately Defining the Location and Dimension of the Bony Lid Under the Guidance of Dynamic Navigation: Report on Three Cases.

The bony lid technique can be a highly valuable procedure when facing surgical challenges, such as the presence of a thick, intact cortical plate, associated with large periapical lesions in posterior teeth. The critical task of accurately defining the location and dimension of the bony lid is a clinical concern that demands careful consideration. This case report, through three cases, illustrates the application of dynamic navigation in guiding the determination of point positions and osteotomy angles on the buccal bone plate.

The Importance of Si─ONa─Al Moieties in Fe/ZSM-5 Zeolite Catalysts for Selective Oxidation of Methane to Acetic Acid.

Selective oxidation of methane to acetic acid with high activity and selectivity remains a significant challenge. Brønsted acid sites (Si─OH─Al) are well-known for their crucial role in facilitating methane oxidation to acetic acid over zeolite-based catalysts. Here, we reported that Fe/ZSM-5-0.

Clinical features, management, and prognosis factors of traumatic optic neuropathy.

We provide a comprehensive clarification of the demographics, clinical features, management, prognostic factors, and complications of traumatic optic neuropathy (TON). About 6068 patients from 109 studies were included. The pooling results indicated that TON was male-dominated (84 %) with road traffic accidents as the leading cause (67 %).

Acetyl-CoA acyltransferase 2 as a metabolic modulator: Unraveling its impact on hepatic lipid dynamics in chicken embryos.

Despite the established role of acetyl-CoA acyltransferase 2 (ACAA2) in hepatic lipid homeostasis in mammals, its function in regulating hepatic lipid metabolism during the embryonic stage of chickens remains unexplored. This study aimed to explore the regulatory role of ACAA2 in hepatic lipid metabolism and investigate its molecular mechanisms in chicken embryos. A recombinant ACAA2-shRNA plasmid was successfully constructed for targeted suppression of ACAA2 expression.

Heterogeneous Driving Effects Guide Personalized Tumor Treatments Targeting N6-methyladenosine.

Alterations to N6-methyladenosine modifications can promote malignant progression by modulating gene expression through regulation of transcript metabolism. Quantifying the causal impact of m6A dysregulation at the population level could help to guide personalized therapeutic interventions. Here, we developed a causal framework that enables precise estimation of the driving effects (DE) of m6A dysregulation on tumor survival, establishing DE-based enhanced prioritization rules for anti-m6A therapies.