The Effect of Remote Ischemic Conditioning in Patients Treated with Endovascular Therapy: A RESIST Trial Post Hoc Study.

Remote ischemic conditioning (RIC) is a simple, non-invasive procedure that has been shown to be safe and feasible in multiple smaller clinical trials. Recent large randomized controlled trials have yielded mixed results regarding clinical effect. Patients with severe stroke may experience greater benefit from cerebroprotective interventions, highlighting the need for adjunctive therapies to enhance endovascular therapy (EVT) outcomes.

Safety and efficacy of remote ischaemic preconditioning in diabetic kidney disease: a pilot randomised, parallel-arm, sham-controlled trial protocol.

Introduction: Diabetic kidney disease (DKD), characterised by rapid progression and poor prognosis, accounts for approximately 50% of all end-stage renal disease. Remote ischaemic preconditioning (RIP) can reduce the impact of subsequent fatal ischaemic events through brief episodes of ischaemia remote from a target organ. Therefore, we aim to determine whether RIP can slow the renal failure progression in patients with DKD.

Interaction between Brain Natriuretic Peptide and QTc Prolongation on Mortality in Patients with Stroke-Heart Syndrome.

Stroke-heart syndrome (SHS) is associated with early mortality in patients with acute ischemic stroke (AIS). However, reliable methods for timely risk stratification remain elusive. Combined monitoring of neurohormonal activation and electrocardiography may help identifying early mortality risk in SHS patients.

Early Risk Prediction Model for Stroke-Heart Syndrome Following Endovascular Therapy.

Stroke-heart syndrome (SHS) significantly impacts patient prognosis, and reperfusion treatment strategies may have an impact on the occurrence of SHS following acute ischemic stroke (AIS). This study aimed to develop a nomogram-based SHS prediction model for anterior circulation stroke patients after endovascular therapy (EVT), addressing the current gap in early risk stratification of this population. This retrospective study enrolled 218 AIS patients who underwent EVT between January 2013 and June 2021, with an observed SHS incidence of 13.

In situ ischemic postconditioning for acute ischemic stroke: preliminary exploratory study.

Background: Endovascular therapy within 24 hours of stroke onset is effective and safe, but successful recanalization does not always give favorable outcomes. Ischemic postconditioning (IPostC), a reperfusion strategy with potential neuroprotective effects, has been extensively studied in preclinical models, but its impact in humans remains unclear. Building on a previous dose escalation study, we aimed to investigate the effect of in situ IPostC on infarct volume in patients with acute ischemic stroke following mechanical thrombectomy.

Phenylboronic acid decorated SiO@FeO magnetic nanoparticle coupled with peroxidase-like Au,Pt,Cu@polydopamine immunoprobe based sandwich approach for the detection of transferrin.

Transferrin (TRF) is the main iron-containing protein in plasma, responsible for carrying iron from digestive absorption and released from the erythrocyte degradation. The plasma TRF levels can be used to diagnose anemia and monitor treatment. Herein, a sandwich type biosensor was developed for the sensitive and efficient TRF detection utilizing the affinity of boronic acid and specific recognition of antibody.

Good Learners Are Poor Monitors: A Negative Relation Between Learning Ability and Monitoring Accuracy.

Effective learning involves not only the ability to quickly acquire knowledge and skills, but also the capacity to accurately monitor one's ongoing learning progress. The present research probed the relation between learning ability and monitoring accuracy. A meta-analysis (Study 1, = 2,406) counterintuitively found that individuals with superior learning ability exhibited slightly poorer monitoring accuracy (measured as the resolution of judgments of learning).

Predicting knee osteoarthritis progression using neural network with longitudinal MRI radiomics, and biochemical biomarkers: A modeling study.

Background: Knee osteoarthritis (KOA) worsens both structurally and symptomatically, yet no model predicts KOA progression using Magnetic Resonance Image (MRI) radiomics and biomarkers. This study aimed to develop and test the longitudinal Load-Bearing Tissue Radiomic plus Biochemical biomarker and Clinical variable Model (LBTRBC-M) to predict KOA progression.

Methods And Findings: Data from the Foundation of the National Institutes of Health Osteoarthritis Biomarkers Consortium were used.

Maintaining Balance: An Update on Nonpharmacological Cytoprotection Therapy for Acute Ischemic Stroke.

Reperfusion therapies have become the standard of care for patients with acute ischemic stroke (AIS). However, around half of treated patients do not regain functional independence despite successful recanalization. Potentially avoidable unbalanced states that prevail both before and after reperfusion therapy might account for such unfavorable functional outcomes.

Time-dependent physical unclonable functions by long-lived triplet excitons in carbon dots.

Physical unclonable functions (PUFs), relying extensively on the random spatial distribution of block elements, are promising technology for generating unclonable cryptograph. Herein, we demonstrate time-dependent PUFs (TD-PUFs) by introducing carbon dots (CDs) with bright and long-lived triplet excitons as block elements. The constructed TD-PUFs evolve into multiple unclonable PUFs over time, effectively breaking the spatial limitation of transitional PUFs and increasing the complexity, making them much more difficult to be attacked.

Remote ischaemic conditioning for efficacy in patients with aneurysmal subarachnoid haemorrhage (REPAIR): protocol for a multicentre, randomised, double-blind, sham-controlled, parallel-group trial.

Introduction: A large number of basic and clinical studies have demonstrated that remote ischaemic conditioning (RIC) has neuroprotective effects. Recently, RIC has made gratifying progress in the field of ischaemia stroke treatment. A considerable number of basic and clinical studies have also revealed the possible therapeutic effects of RIC on subarachnoid haemorrhage.

Self-supervised disc and cup segmentation via non-local deformable convolution and adaptive transformer.

Optic disc and cup segmentation is a crucial subfield of computer vision, playing a pivotal role in automated pathological image analysis. It enables precise, efficient, and automated diagnosis of ocular conditions, significantly aiding clinicians in real-world medical applications. However, due to the scarcity of medical segmentation data and the insufficient integration of global contextual information, the segmentation accuracy remains suboptimal.

Longitudinal patterns of postpartum body mass index and their impact on cardiometabolic and renal risk among women with prior gestational diabetes: a prospective cohort analysis.

Background: Women with a history of gestational diabetes mellitus (GDM) face a heightened long-term risk of developing interconnected cardiovascular, renal, and metabolic (CKM) conditions. Although postpartum weight management presents a critical opportunity for intervention, the behavioral and psychosocial pathways linking body mass index (BMI) trajectories after childbirth to CKM progression remain poorly defined.

Methods: This prospective cohort study followed 1,268 women with prior GDM, enrolled within six months after delivery and tracked over a median period of 6.

Electrostatic Potential-Dominated Weak Solvation Chemistry for Synergistic Optimization of VO Cathode and Zn Anode.

Practical aqueous zinc-ion batteries face severe challenges from cathodic dissolution and anodic dendrite growth. Herein, we report a novel electrostatic potential-dominated weakly solvated electrolyte that correlates molecular charge anisotropy with both solvation thermodynamics and interfacial passivation kinetics. By regulating the electrostatic force among Zn, HO, and weak solvent, the attack ability of free water on vanadium oxide is efficiently reduced, and the vanadium dissolution is effectively prohibited.

Descriptors construction and application in catalytic site design.

Descriptors are quantitative or qualitative measures that capture key properties of a system. In catalysis, they are essential for understanding the relationship between a material's structure and its function, facilitating the design and optimization of new catalytic materials and processes. Since the introduction of energy descriptors in the 1970s, various approaches, ranging from electronic properties to data-driven techniques, have been developed to construct these descriptors.

Ecophysiological Responses of Triterpene Glycosides in Buds of (Miq.) Seem. to Late Spring Frost with Soil-Mediated Effects.

Late spring frost (LSF) poses a threat to temperate forest ecosystems; however, its combined effects with soil properties on triterpene glycosides in the buds of valuable shrubs are still unclear. In this study, natural (Miq.) Seem.

The effect of physical activity on anti-infection immunity: a review.

Purpose: Physical exercise influences the body's resistance to inflammatory and infectious diseases. It has emerged as a crucial physiological regulator of immunological function. In addition, regular, moderate-intensity exercise enhances immune function and may reduce the risk of some infections.

Cardiovascular-kidney-metabolic comorbidities in colorectal cancer survivors: a nationwide cohort study on the role of metabolic syndrome.

Background: Colorectal cancer (CRC) survivors are at increased risk of cardiovascular-kidney-metabolic (CKM) complications. Although metabolic syndrome (MetS) is a recognized precursor of cardiovascular disease (CVD) in the general population, its prognostic relevance in CRC survivors has not been well established.

Methods: We retrospectively analyzed 32,740 patients with a history of CRC who underwent health check-ups recorded in a national hospital-based database between 2005 and 2021.

Immune inflammation and metabolic interactions in the pathogenesis of diabetic nephropathy.

Diabetic nephropathy (DN) is a significant microvascular complication of diabetes, substantially contributing to the global prevalence of end-stage renal disease. The pathogenesis of DN is multifactorial, involving both immune-inflammatory responses and metabolic dysregulation. Hyperglycemia, a hallmark of diabetes, initiates kidney damage through various mechanisms, including oxidative stress, the accumulation of advanced glycation end products (AGEs), and changes in renal blood flow.

Scalable X-ray scintillators with bright singlet-triplet hybrid self-trapping excitons.

Size-scalable X-ray scintillators with high transparency and robust photon yield allow for imaging large objects with greater precision and detail. Solution-processable scintillators, typically crafted from quantum dots (QDs), are promising candidates for highly efficient scintillation applications. However, the restricted size and low transparency in QD-based scintillators lead to less efficient X-ray imaging for large objects requiring high resolution.

Dome-celled aerogels with ultrahigh-temperature superelasticity over 2273 K.

Aerogels are known for their high porosity and very low density and can be made from a range of materials, but are limited by structural instability under extreme thermomechanical conditions. We report on 194 types of dome-celled ultralight aerogels that maintain superior elasticity spanning from 4.2 kelvin (K) to 2273 K, realized by a two-dimensional channel-confined chemistry method.

Machine Learning-Driven Achieving Efficient Phosphorescent Carbon Nanodots in Aqueous Solution by Suppressing Triplet Electron Leakage.

Matrix-assisted synthesis has emerged as a prevalent strategy for the fabrication of solid-state phosphorescent carbon nanodots (CNDs), yet achieving efficient liquid-phase CND systems remains challenging due to complex underlying mechanisms. The knowledge gap poses a substantial barrier to translating phosphorescent CND systems between solid-state and liquid-phase configurations. Herein, the critical role of triplet electron leakage is elucidated in reducing the phosphorescent performance of CNDs and demonstrates how machine learning (ML) can be applied to suppress this leakage, achieving efficient phosphorescent CNDs in aqueous solution.

The influence of curing time on mechanical properties and microstructure of taphole clay.

As an important part of blast hole filling in blasting engineering, rapid setting taphole clay material has been paid attention by many scholars. Although curing time is an important factor affecting the mechanical properties of quick setting taphole clay materials, scholars have little research on quick setting taphole clay materials. This study investigated the influence of curing time on the mechanical properties of rapid-setting taphole clay materials, analyzed the variation pattern of mechanical strength during the increase of curing time, and employed techniques such as XRD and SEM-EDS to study the impact of curing time on the crystalline phase transformation, microstructure, and element distribution of taphole clay materials.

LOD-PCAC: Level-of-Detail-Based Deep Lossless Point Cloud Attribute Compression.

Point cloud attribute compression is a challenging issue in efficiently compressing large volumes of attributes. Despite notable advancements in lossy point cloud compression using deep learning, progress in lossless compression remains limited. Some methods have employed octree- or voxel-based partitioning techniques derived from geometric compression, achieving success on dense point clouds.

Ultra-sensitive DNA detection with single-base mismatch resolution using graded hollow-core optical microcavity functionalized by polyA-AuNPs.

A graded hollow-core optical microcavity (GHCOM) functionalized by polyA-AuNPs is proposed and demonstrated for DNA hybridization detection with ultra-low limit of detection (LoD) and high specificity. The GHCOM with wall thickness of ∼2 μm and Q factor of 7.8 × 10 is fabricated, featuring a graded longitudinal shape which enhances light-matter interaction near sensing interface of the microcavity.