Association between estimated glucose disposal rate and metabolic dysfunction-associated steatotic liver disease and dyslipidemia in US adults: a cross-sectional study.

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is strongly associated with insulin resistance (IR). This study examined the relationship between estimated glucose disposal rate (eGDR), a simple IR indicator, and MASLD risk.

Methods: Using NHANES 2017-2018 data ( = 3,957), MASLD was diagnosed by CAP ≥285 dB/m.

A case of primary tarsal sinus synovial sarcoma.

Background: Primary intra-articular synovial sarcoma is a rare condition that is frequently misdiagnosed due to its indolent growth pattern and similarity to other common joint disorders.

Case Presentation: A 48-year-old Chinese woman presented with a 3-year history of recurrent pain and limited mobility in her left ankle. She had previously been misdiagnosed with conditions such as ankle sprain, synovitis, or tarsal sinus syndrome.

Aqueous Eutectic Electrolytes Design for Advanced Rechargeable Zinc-Ion Batteries.

Rechargeable aqueous zinc-ion batteries (RAZIBs) have emerged as leading candidates for next-generation large-scale energy storage systems, owing to their environmental sustainability, cost-effectiveness, and operational safety. Nevertheless, in conventional aqueous electrolytes (AEs), the rampant dendrite growth, parasitic hydrogen evolution reactions (HER), and progressive cathode dissolution in RAZIBs fundamentally constrain their practical application. Addressing these limitations through electrolyte engineering has thus become a pivotal research frontier for developing practical RAZIBs.

Relationships Between Insomnia and Quality of Life in Patients With Advanced Liver Cancer: A Secondary Analysis of a Multicenter Cross-Sectional Study.

Background: This study aims to evaluate the symptom burden of advanced liver cancer, explore factors related to quality of life (QoL), and investigate the relationship between insomnia and QoL.

Methods: This is a secondary analysis of a multicenter cross-sectional study that included data from patients with advanced liver cancer (n = 364) recruited from 10 cancer centers across China. Participants were required to complete Patient Health Questionnaire-9 (PHQ-9), MD Anderson Symptom Inventory (MDASI), Insomnia Severity Index (ISI), 5-level EQ-5D (EQ-5D-5L).

The reconstruction method for static exterior model of digital twin railway station based on mobile vehicle.

Constructing a static exterior model of railway passenger station is a preliminary and crucial step in achieving a digital twin station. Station modeling often relies on manual techniques, requiring significant labor for stations spanning tens of thousands of square meters. While the interior decoration is symmetrical, the asymmetrical placement of equipment often leads to confusion in manual modeling.

A novel acenaphthoimidazolyidene oxazolinic palladium complex and its efficient catalysis in Suzuki-Miyaura cross-coupling reactions of -acyl-glutarimides N-C cleavage.

Herein, we synthesized a new Pd-N-heterocyclic carbene (Pd-NHC) complex that featured an acenaphthoimidazolylidene (AnIm) skeleton and 2-phenyl-2-oxazoline. This catalyst exhibited extremely high efficiency in Suzuki-Miyaura couplings between -acyl-glutarimides and organoboronic acids, affording various aryl ketones in excellent yields with a broad substrate scope and wide functional group compatibility. Notably, the reactions were completed in just 5 hours with only 0.

MIO: An ontology for annotating and integrating medical knowledge in myocardial infarction to enhance clinical decision making.

As biotechnology and computer science continue to advance, there's a growing amount of biomedical data worldwide. However, standardizing and consolidating these data remains challenging, making analysis and comprehension more difficult. To enhance research on complex diseases like myocardial infarction (MI), an ontology is necessary to ensure consistent data labeling and knowledge representation.

Janus CsPbBr-AgBiS Heteronanocrystals for High-Efficiency Photodetectors.

Heteronanocrystals (HNCs) composed of colloidal lead halide perovskites and chalcogenides always offer unique photoelectric properties. Nevertheless, synthesizing perovskite-chalcogenide HNCs has been a tough challenge due to their completely different growth dynamics. Here, we present an effective strategy to synthesize Janus CsPbBr-AgBiS HNCs by in situ growth of CsPbBr NCs on prepared AgBiS quantum dot (QDs).

N, P-doped graphite/LiMnO hybrid electrode for high-performance all-climate dual-ion batteries.

Conventional lithium-ion batteries (LIBs) are nearing their theoretical capacity limit, and there is an urgent need to develop energy storage devices with higher energy densities and cycling stabilities. In this work, a hybrid electrode design, which combines the traditional "rocking chair" mechanism and "anion intercalation" mechanism to improve energy density is reported. The hybrid electrode is composed of LiMnO and N,P-doped graphite (NPG) to use both anion and cation storage mechanisms.

Risk factors of prognosis for spontaneous cerebellar hemorrhage: a systematic review and meta-analysis.

Background: The most deadly type of spontaneous intracerebral hemorrhage is spontaneous cerebellar hemorrhage (SCH). The purpose of this meta-analysis was to investigate risk factors for prognosis in SCH patients to provide a basis for taking preventive and therapeutic measures.

Methods: Seven electronic databases were searched from inception to May 2023 for randomized controlled trial, cohort study, case control study and cross-sectional study on prognosis of spontaneous cerebellar hemorrhage.

Association between anxiety, depression, and symptom burden in patients with advanced colorectal cancer: A multicenter cross-sectional study.

Objectives: Patients with advanced colorectal cancer (CRC) have multiple concurrent physical and psychological symptoms. This study aimed to explore the relationship between anxiety, depression, and symptom burden in advanced CRC.

Methods: A multicenter cross-sectional study was conducted in 10 cancer centers from geographically and economically diverse sites in China.

Childhood environmental unpredictability and hoarding: Mediating roles of attachment and security.

Life history theory provides a unified perspective for understanding human behaviors as adaptive strategies to specific environmental conditions. Within this theoretical framework, hoarding emerges as a behavior reflecting an evolved strategy in response to unpredictable environmental challenges, serving as a buffer against resource scarcity and enhancing survival prospects. This study aimed to explore the key roles of childhood environmental unpredictability, attachment, and sense of security in the development of hoarding.

Physical symptoms and anxiety and depression in older patients with advanced cancer in China: a network analysis.

Background: Little is understood about the association between psychosomatic symptoms and advanced cancer among older Chinese patients.

Methods: This secondary analysis was part of a multicenter cross-sectional study based on an electronic patient-reported outcome platform. Patients with advanced cancer were included between August 2019 and December 2020 in China.

Co-embedding of edges and nodes with deep graph convolutional neural networks.

Graph neural networks (GNNs) have significant advantages in dealing with non-Euclidean data and have been widely used in various fields. However, most of the existing GNN models face two main challenges: (1) Most GNN models built upon the message-passing framework exhibit a shallow structure, which hampers their ability to efficiently transmit information between distant nodes. To address this, we aim to propose a novel message-passing framework, enabling the construction of GNN models with deep architectures akin to convolutional neural networks (CNNs), potentially comprising dozens or even hundreds of layers.

Deciphering the mechanism of -induced chemoresistance in colorectal cancer: the important roles of MDSC recruitment and EMT activation.

(, ) in intestinal flora of patients with colorectal cancer (CRC) are associated with poor prognosis. Studies have shown that could promote colorectal carcinogenesis and progression, but whether could induce chemoresistance of colorectal cancer has not been clarified. Here, both and experiments showed that specifically colonized the CRC lesion and enhanced chemoresistance of colorectal cancer to oxaliplatin by recruiting myeloid-derived suppressor cells (MDSCs) into the tumor microenvironment.

MLSFF: Multi-level structural features fusion for multi-modal knowledge graph completion.

With the rise of multi-modal methods, multi-modal knowledge graphs have become a better choice for storing human knowledge. However, knowledge graphs often suffer from the problem of incompleteness due to the infinite and constantly updating nature of knowledge, and thus the task of knowledge graph completion has been proposed. Existing multi-modal knowledge graph completion methods mostly rely on either embedding-based representations or graph neural networks, and there is still room for improvement in terms of interpretability and the ability to handle multi-hop tasks.

Multifunctional Role of Ag-Substitution in Enhancing the Photoelectrochemical Properties of LaFeO Photocathodes.

Earth-abundant LaFeO is a promising p-type semiconductor for photoelectrochemical cells due to its stable photoresponses, high photovoltages and appropriate band alignments, but the photoelectrochemical properties of LaFeO , especially the incident-photon-to-current conversion efficiency, need to be further improved. Herein, we propose to partially substitute La of LaFeO with Ag to enhance the photoelectrochemical performance of LaFeO . The combined experimental and computational studies show that Ag-substitution improves surface charge transfer kinetics through introducing active electronic states and increasing electrochemically active surface areas.

MLNet: a multi-level multimodal named entity recognition architecture.

In the field of human-computer interaction, accurate identification of talking objects can help robots to accomplish subsequent tasks such as decision-making or recommendation; therefore, object determination is of great interest as a pre-requisite task. Whether it is named entity recognition (NER) in natural language processing (NLP) work or object detection (OD) task in the computer vision (CV) field, the essence is to achieve object recognition. Currently, multimodal approaches are widely used in basic image recognition and natural language processing tasks.

A dynamic graph Hawkes process based on linear complexity self-attention for dynamic recommender systems.

The dynamic recommender system realizes the real-time recommendation for users by learning the dynamic interest characteristics, which is especially suitable for the scenarios of rapid transfer of user interests, such as e-commerce and social media. The dynamic recommendation model mainly depends on the user-item history interaction sequence with timestamp, which contains historical records that reflect changes in the true interests of users and the popularity of items. Previous methods usually model interaction sequences to learn the dynamic embedding of users and items.

Bioimaging and detecting endogenous and exogenous cyanide in foods, living cells and mice based on a turn-on mitochondria-targeted fluorescent probe.

A novel fluorescent probe, with advanced features including "turn-on" fluorescence response, high sensitivity, good compatibility, and mitochondria-targeting function, has been synthesized based on structural design for detecting and visualizing cyanide in foods and biological systems. An electron-donating triphenylamine group (TPA) was employed as the fluorescent and an electron-accepting 4-methyl-N-methyl-pyridinium iodide (Py) moiety was used as a mitochondria-targeted localization unit, which formed intramolecular charge transfer (ICT) system. The "turn-on" fluorescence response of the probe (TPA-BTD-Py, TBP) toward cyanide is attributed two reasons, one is the insertion of an electron-deficient benzothiadiazole (BTD) group into the conjugated system between TPA and Py, and the other is the inhibition of ICT induced by the nucleophilic addition of CN.

Validation of the Chinese Cultural Tightness-Looseness Scale and General Tightness-Looseness Scale.

Introduction: This study aims to revise the Cultural Tightness-Looseness Scale (CTLS) and General Tightness-Looseness Scale (GTLS), and explore the group heterogeneity of tightness-looseness perception in Chinese populations.

Methods: Sample 1 ( = 2,388) was used for item analysis and exploratory factor analysis, and sample 2 ( = 2,385) was used for confirmatory factor analysis and latent profile analysis. Sample 3 ( = 512) was used for the reliability test and criterion validity test, among which 162 participants were used for the test-retest reliability examination after a four-week interval.

Attention-based message passing and dynamic graph convolution for spatiotemporal data imputation.

Although numerous spatiotemporal approaches have been presented to address the problem of missing spatiotemporal data, there are still limitations in concurrently capturing the underlying spatiotemporal dependence of spatiotemporal graph data. Furthermore, most imputation methods miss the hidden dynamic connection associations that exist between graph nodes over time. To address the aforementioned spatiotemporal data imputation challenge, we present an attention-based message passing and dynamic graph convolution network (ADGCN).