High-efficiency non-doped near-ultraviolet OLEDs achieved by regulating excited-state spatial distribution through molecular optimization to realize hybridized local and charge-transfer (HLCT) characteristics.

The development of high-performance near-ultraviolet organic light-emitting diodes (NUV-OLEDs) remains challenging due to their intrinsic wide-bandgap characteristics. Therefore, this study fully exploits the weak electron-accepting characteristics of the PPI group, combined with its high photoluminescence quantum yield (PLQY) and excellent thermal stability. Through a precise molecular structure modulation strategy involving direct introduction of electron-donating diphenylamine groups into the side phenyl ring and systematic integration of donor/acceptor units with tailored electronic properties into the main backbone, effective control of excited-state characteristics and their spatial distribution was successfully achieved.

Terbium (III) and adenosine monophosphate coordinated hydrogel for fluoroquinolones sensing by combining machine learning.

Nondestructive identification of fluoroquinolones distribution on food is an approach to simplify detection steps and improve detection efficiency. In this study, a fluorescent sensor based on terbium (III) and adenosine monophosphate coordinated hydrogel (TbCHy) has been synthesized, which is assisted by machine learning for intelligent and nondestructive detection of fluoroquinolones (FQs) in meat. Norfloxacin (NOR) was used as the model target, the TbCHy-based sensor performed a good linearity when NOR concentration ranged from 0.

Uncertainty-guided cross-level fusion network for retinal OCT image segmentation.

Background: Deep learning-based segmentation methods for optical coherence tomography (OCT) have demonstrated outstanding performance. However, the stochastic distribution of training data and the inherent limitations of deep neural networks introduce uncertainty into the segmentation process. Accurately estimating this uncertainty is essential for generating reliable confidence assessments and improving model predictions.

Hydrogen-Bond Regulated Water Confinement Strategy Enables High-Temperature-Resistant Hydrogel Film for Flexible Rechargeable Batteries.

The poor high-temperature adaptability of the hydrogel electrolyte film limits the performance of hydrogel-based rechargeable batteries. Especially, the deterioration of electrochemical windows at high temperatures leads to a fast decay of cyclic stability. Herein, a hydrogel film containing 6.

Dihydroxanthene-Derived Dioxetane Chemiluminophores for Activatable in Vivo Imaging.

Chemiluminophores with optimal chemiluminescence properties and versatile structures adaptable into activatable chemiluminescent probes are of particular interest for biosensing and imaging owing to their high sensitivity and signal-to-noise ratio. However, such chemiluminophores are still limited. Herein, we report dihydroxanthene-derived chemiluminophores (DhX-CLs) that integrate an adamantyl-dioxetane moiety with a rationally designed dihydroxanthene-like core skeleton featuring an extended and restricted π-electron system.

Serum Alpha-Fetoprotein-Tumor Size Ratio as a Prognostic Marker After Hepatic Resection for Primary Hepatocellular Carcinoma: Propensity Score Matched Retrospective Cohort Study.

Background: Patients with hepatocellular carcinoma (HCC) exhibit a high rate of recurrence and poor prognosis after surgery, and effective prognostic indicators and stratification strategies are currently lacking. Hence, this study proposes new prognostic markers to provide a theoretical basis for patients with HCC.

Objective: We aim to build and evaluate a model estimating the effect of alpha-fetoprotein-tumor size ratio (ATR) on the prognosis of patients undergoing hepatectomy for HCC.

Meta-learning with Unlabeled Query Updating and Consistency Learning for Few-shot OCT Image Classification.

Objective: Deep neural networks are widely used in the field of optical coherence tomography (OCT) to screen some common retinal diseases. However, for rare diseases with fewer cases for model training, it is challenging to achieve automatic diagnosis using traditional deep learning. Meta-learning based few-shot learning can be used to address the problem of insufficient training data.

Clonorchis sinensis-driven hepatocarcinogenesis via E2F1-CD24 transcriptional axis: mechanistic and therapeutic implications.

Background: Hepatocellular carcinoma (HCC) remains a global health burden, with disproportionately high mortality in China's Guangxi region, where endemic Clonorchis sinensis (C. sinensis) infection coincides with elevated HCC incidence. Preliminary single-cell sequencing revealed marked overexpression of cluster of differentiation 24 (CD24) in HCC tissues, suggesting its potential pathological role.

Investigation and pathogenetic testing of Shewanella spp. positive diarrhea cases in Beijing, China.

The pathogenic profiles of seven Shewanella spp. positive cases identified during diarrhea surveillance in Beijing, China, in 2023 were characterised. Sentinel hospitals collected patient information and stool samples, while regional centres for disease control (CDC) performed cultures and real time PCR.

Prognostic value of inflammatory markers and different treatment regimens in neuroendocrine cervical carcinoma: a retrospective study.

Background: Neuroendocrine cervical carcinoma (NECC) is a rare and highly aggressive gynecological tumor, with poor prognosis and limited standardized treatment options. Inflammation plays a significant role in tumor progression, and systemic inflammatory markers such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) have shown prognostic value in other malignancies. However, their role in NECC remains unclear.

Minimization of Resource Consumption with URLLC Constraints for Relay-Assisted IIoT.

In relay-assisted Industrial Internet of Things (IIoT) systems with ultra-reliable low-latency communication (uRLLC) requirements, finite blocklength coding imposes stringent resource constraints. In this work, the packet error probability (PEP) and blocklength allocation across two-hop links are jointly optimized to minimize total blocklength (resource consumption) while satisfying reliability, latency, and throughput requirements. The original multi-variable problem is decomposed into two tractable subproblems.

Multifunctional Polyimide for Packaging and Thermal Management of Electronics: Design, Synthesis, Molecular Structure, and Composite Engineering.

Polyimide, a class of high-performance polymers, is renowned for its exceptional thermal stability, mechanical strength, and chemical resistance. However, in the context of high-integration and high-frequency electronic packaging, polyimides face critical challenges including relatively high dielectric constants, inadequate thermal conductivity, and mechanical brittleness. Recent advances have focused on molecular design and composite engineering strategies to address these limitations.

Doughnut-biting photon capturing scheme for drone-based orbital angular momentum quantum key distribution.

Drone-based quantum key distribution (QKD) offers a flexible, cost-effective, and reconfigurable approach to extending the reach of spatial and temporal quantum communication. The rotation-invariant properties of orbital angular momentum (OAM) effectively mitigate issues related to reference frame alignment from the drone platform. Utilizing OAM encoding to achieve high-dimensional quantum key distribution (HD-QKD) exhibits significant advantages in terms of communication capacity and robustness.

Safety of immune checkpoint inhibitors in cancer patients with COVID-19: A review.

Coronavirus disease 2019 has emerged as a substantial burden to global public health, with cancer patients exhibiting heightened susceptibility to severe complications. Immune checkpoint inhibitors have exhibited noteworthy efficacy in cancer therapy by promoting robust anti-tumor immune responses. Nevertheless, the safety and efficacy during epidemics remain contentious.

Structured light residual channel attention network for super-resolution enhancement of 3D measurement images.

The precision of structured light 3D measurements is often limited by resolution degradation during image acquisition and processing, leading to blurred edge features. Interpolation-based upsampling methods are insufficient, and improving camera resolution in large field of view systems is costly. We propose the structured light residual channel attention network (SLRCAN), a super-resolution network tailored to the characteristics of structured light imagery.

Calibration method of line-structured light based on direction and length constraints.

Line-structured light vision measurement technology, owing to its significant advantages, has been widely used in the field of industrial measurement. The performance of this technology in practical applications largely depends on the calibration accuracy of the light planes. With the rapid development of modern industry, the increasing precision requirements for workpiece manufacturing necessitate higher measurement accuracy, which presents new challenges for the calibration of structured light planes.

Advances in Three-Dimensional Temperature Sensing: From Materials to Applications.

Temperature sensing has broad applications in everyday life and serves as a crucial tool for ensuring safety, efficiency, and sustainable development across various industries. Recently, 3D temperature sensing has become increasingly vital in modern society due to the boosted demand for comprehensive thermal information in various applications. This field has attracted global efforts in developing temperature-sensitive materials, spatial positioning technologies, and new mechanisms of heat transfer to improve temperature resolution and spatial resolution in various systems.

HDT2-mediated lysine deacetylation promotes phytochrome A degradation during photomorphogenesis in Arabidopsis.

The shift from skotomorphogenesis to photomorphogenesis, a developmental transition in seed plants, involves dramatic proteomic changes. Lysine acetylation (Lys-Ac) is an evolutionarily conserved and recognized post-translational modification that plays a crucial role in plant development. However, its role in seedling deetiolation remains unclear.

Hepatic ASPG-mediated lysophosphatidylinositol catabolism impairs insulin signal transduction.

Bioactive glycerolysophospholipids (GLPs) are implicated in the pathogenesis of metabolic dysfunction-associated steatotic liver disease (MASLD) and obesity; however, the mechanisms underlying glycerolysophospholipid-mediated changes in insulin signaling remain poorly understood. Here, we identify the amino acid-metabolism enzyme asparaginase (ASPG) as a critical regulator of systemic fatty acid handling and insulin signal transduction. Hepatic ASPG expression levels negatively correlate with insulin sensitivity in humans.

Identification of rs2036527 as a cis-regulatory variant for CHRNA3 and CHRNA5 by allele-specific expression and implications for nicotine dependence and lung cancer.

Background And Objectives: Numerous genome-wide association studies suggest that rs1051730 is significantly associated with nicotine dependence and further lung cancer in Caucasian. Since rs1051730 is a synonymous variant at CHRNA3 (cholinergic receptor nicotinic alpha 3 subunit), it might be hypothesized that the causal variant might be other SNP(s) in strong linkage disequilibrium (LD).

Methods: LD analysis and functional genomics work, including chromosome conformation capture (3C), luciferase assay, and chromatin immunoprecipitation (ChIP), were performed.

Pathway regulation mechanism by cotranslational protein folding.

Existing experimental results indicate potential disparities between cotranslational protein folding in vivo and free folding in vitro, yet the microscopic mechanisms responsible for these differences remain elusive. In this study, we devised a general protein cotranslational folding (GPCTF) simulations framework by modeling the ribosomal exit tunnel and translation process. Utilizing the GPCTF framework, we conducted extensive molecular dynamics simulations on three proteins of varying topologies, generating over 8 milliseconds of total trajectories.

Transcatheter Arterial Embolization with N-butyl-2 Cyanoacrylate or not for Iatrogenic Renal Hemorrhage under Normal Coagulation Condition.

Objective: To evaluate the effectiveness and safety of transcatheter arterial embolization (TAE) with N-butyl-2 Cyanoacrylate (NBCA) versus without NBCA for the treatment of iatrogenic renal hemorrhage (IRH) in patients with normal coagulation profiles.

Methods: Forty-nine participants with normal coagulation profiles were divided into two groups: NBCA (n = 12) and non-NBCA (n = 37). The primary outcome assessed was the primary clinical success rate, with secondary analyses conducted on technical success rate, secondary clinical success rate, procedure duration and cost, angiographic results, and adverse events.

Homoleptic Iridium(III) Carbene Complexes with -Dimethyl-1,2,4-triazolo[4,3-]indole Chelates for Blue Organic Light-Emitting Diodes.

Iridium(III) carbene complexes represent the advanced structure of efficient blue phosphorescent emitters to date, yet the refinement of the carbene group is not easy to realize in a large-scale synthesis route. In this study, we develop a series of deep-blue emissive homoleptic Ir(III) carbene complexes bearing the novel -dimethyl-1,2,4-triazolo[4,3-]indole ligand. The carbene ligand can be produced on a large scale without purification by column chromatography, and the cyclometalation can be completed in a high yield without the use of AgO.

Exploring binding and allosteric energy landscapes for the KRAS interactions with effector proteins using Markov state modeling of conformational ensembles and allosteric network modeling.

Kirsten rat sarcoma viral oncogene homolog (KRAS) is a pivotal oncoprotein that regulates cell proliferation and survival through interactions with downstream effectors such as RAF1. Despite significant advances, the dynamic and energetic mechanisms of KRAS allostery by which oncogenic mutations can modulate KRAS-RAF1 signaling remain poorly understood. In this study, we employ microsecond molecular dynamics simulations, mutational scanning, and binding free energy calculations together with dynamic network modeling to elucidate the effect of KRAS G12V, G13D, and Q61R mutations and characterize the thermodynamic drivers and hotspots of KRAS binding and allostery.