JTIS: enhancing biomedical document-level relation extraction through joint training with intermediate steps.

Biomedical Relation Extraction (RE) is central to Biomedical Natural Language Processing and is crucial for various downstream applications. Existing RE challenges in the field of biology have primarily focused on intra-sentential analysis. However, with the rapid increase in the volume of literature and the complexity of relationships between biomedical entities, it often becomes necessary to consider multiple sentences to fully extract the relationship between a pair of entities.

Levels of Bile Acid Metabolism Are Associated With Alterations of Gut Microbes in Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) is viewed as a metabolism associated disease, and bile acid metabolism is reported to occupy a significant role in the progression of HCC. However, little is known about the association between gut microbes and bile acid metabolism in HCC. Our study was designed to clarify the role of bile acid metabolism and microbiome in the progression of HCC.

A Protic Ionic Liquid Promoted Gel Polymer Electrolyte for Solid-State Electrochemical Energy Storage.

This study presents the synthesis of a transparent, flexible gel polymer electrolyte (GPE) based on the protic ionic liquid BMImHSO and on polyvinyl alcohol (PVA) through solution casting and electrochemical evaluation in a 2.5 V symmetrical C/C electrical double-layer solid-state capacitor (EDLC). The freestanding GPE film exhibits high thermal stability (>300 °C), wide electrochemical windows (>2.

Triphenylphosphine-Modified Iridium, Rhodium, and Ruthenium Complexes to Achieve Enhanced Anticancer Selectivity by Targeting Mitochondria.

The incorporation of an organelle-targeting moiety into compounds has proven to be an effective strategy in the development of targeted anticancer drugs. We herein report the synthesis, characterization, and biological evaluation of novel triphenylphosphine-modified half-sandwich iridium, rhodium, and ruthenium complexes. The primary goal was to enhance anticancer selectivity through mitochondrial targeting.

LCDL: Classification of ICD codes based on disease label co-occurrence dependency and LongFormer with medical knowledge.

Medical coding involves assigning codes to clinical free-text documents, specifically medical records that average over 3,000 markers, in order to track patient diagnoses and treatments. This is typically accomplished through manual assignments by healthcare professionals. To improve efficiency and accuracy while reducing the workload on these professionals, researchers have employed a multi-label classification approach.

Knockdown of CENPF induces cell cycle arrest and inhibits epithelial‑mesenchymal transition progression in glioma.

Gliomas are among the most common malignant tumors of the central nervous system. Despite surgical resection followed by postoperative radiotherapy and chemotherapy, their prognosis remains unfavorable. The present study aimed to assess new mechanisms and explore promising prognostic biomarkers for patients with glioma using comprehensive bioinformatics analysis and and assays.

The effect of positive mental well-being on patient reported outcome (PRO): finding from a cross-sectional multi-disease study in China.

Purpose: This study aims to investigate the potential impact of positive mental well-being on responses of patient-reported outcome measures (PROMs), such as EQ-5D-5L.

Methods: This study utilized the data collected in a cross-sectional study in a sample consisted of individuals with different health conditions. Spearman's rank correlations were employed to investigate the relationship between the responses to the dimensions of EQ-5D-5L and the Short Warwick-Edinburgh Mental Well-being Scale (SWEMWBS).

FAS gene expression, prognostic significance and molecular interactions in lung cancer.

Introduction: FAS has been implicated in the development of various cancers, but its involvement in lung cancer has not been systematically characterized. In this study, we performed data mining in online tumor databases to investigate the expression, methylation, alterations, protein interactions, co-expression and prognostic significance of FAS in lung cancer.

Method: The expression, prognostic significance and molecular interactions of FAS in lung cancer was mined and analyzed using GENT2, GEPIA2, UALCAN, cBioPortal, STRING, GeneMANIA, UCSC Xena, Enrichr, and OSluca databases.

Therapeutic targets for gastrointestinal diseases: proteome-wide Mendelian randomization and colocalization analyses.

Purpose: This study was aimed to identify serum proteins linked with gastrointestinal diseases by proteome-wide Mendelian randomization analysis.

Methods: We determined the casual relationship between 732 kinds of circulating proteins and the 24 kinds of gastrointestinal diseases via Mendelian randomization analysis.

Results: Four circulating proteins (FCGR3B, IL-12B, MAPKAPK2, and IL-23R) were associated with the occurrence of ulcerative colitis (UC), and IL23R was also correlated with risk of Crohn's disease (CD).

Learning to explain is a good biomedical few-shot learner.

Motivation: Significant progress has been achieved in biomedical text mining using deep learning methods, which rely heavily on large amounts of high-quality data annotated by human experts. However, the reality is that obtaining high-quality annotated data is extremely challenging due to data scarcity (e.g.

Conditional survival and changing risk profile in patients with gliosarcoma.

Background: Conditional survival (CS) considers the duration since the initial diagnosis and can provide supplementary informative insights. Our objective was to evaluate CS among gliosarcoma (GSM) patients and develop a CS-incorporated nomogram to predict the conditional probability of survival.

Methods: This retrospective study using the Surveillance, Epidemiology, and End Results (SEER) database included patients with GSM between 2000 and 2017.

T-2 toxin induces cardiac fibrosis by causing metabolic disorders and up-regulating Sirt3/FoxO3α/MnSOD signaling pathway-mediated oxidative stress.

T-2 toxin, an omnipresent environmental contaminant, poses a serious risk to the health of humans and animals due to its pronounced cardiotoxicity. This study aimed to elucidate the molecular mechanism of cardiac tissue damage by T-2 toxin. Twenty-four male Sprague-Dawley rats were orally administered T-2 toxin through gavage for 12 weeks at the dose of 0, 10, and 100 nanograms per gram body weight per day (ng/(g·day)), respectively.

A novel fungal sensor (Ngs1) of N-acetylglucosamine (GlcNAc) mediates the fungal response to GlcNAc in the interaction between entomopathogenic Beauveria bassiana and insect host.

As N-acetylglucosamine (GlcNAc) ubiquitously exists in both insect cuticle and fungal cell walls, the GlcNAc sensor (Ngs1) potentially plays important roles in the interactions between entomopathogenic fungi and their insect hosts. However, the roles of the Ngs1 derived from the entomopathogens in response to the host's cuticle remain completely unexplored. In this study, a putative Ngs1 homolog was identified in the entomopathogenic fungus Beauveria bassiana.

Conditional survival estimates for ependymomas reveal the dynamic nature of prognostication.

Background: Traditional survival analysis is frequently used to assess the prognosis of ependymomas (EPNs); however, it may not provide additional survival insights for patients who have survived for several years. Thus, the conditional survival (CS) pattern of this disease is yet to be further investigated. This study aimed to evaluate the improvement of survival over time using CS analysis and develop a CS-based nomogram model for real-time dynamic survival estimation for EPN patients.

Lignin-induced rapid polymerization of asymmetrical adhesion Janus gel for strain sensor.

Functional hydrogel sensors have shown explosive growth in the health and medical fields. However, the uniform adhesion and the complicated polymerization process of hydrogels seriously hinder their further development. Herein, inspired by the layered structure of human skin, we prepare a Janus gel using in-situ polymerization.

METTL16 Promotes Stability of SYNPO2L mRNA and leading to Cancer Cell Lung Metastasis by Secretion of COL10A1 and attract the Cancer-Associated Fibroblasts.

The occurrence of metastasis is a major factor contributing to poor prognosis in colorectal cancer. Different stages of the disease play a crucial role in distant metastasis. Furthermore, m6A has been demonstrated to play a significant role in regulating tumor metastasis.

A nomogram for individualized prediction of new-onset postoperative atrial fibrillation in acute type A aortic dissection patients: a retrospective study.

Objective: The objective of this study is to explore the risk factors associated with new-onset postoperative atrial fibrillation (POAF) following Sun's surgery(total arch replacement using a tetrafurcate graft with stented elephant trunk implantation) for acute type A aortic dissection(AAAD) and to develop a predictive model for assessing the likelihood of new-onset POAF in patients undergoing Sun's surgery for AAAD.

Methods: We reviewed the clinical parameters of patients diagnosed with AAAD who underwent Sun's surgery at Qilu Hospital between December 1, 2017 and December 31, 2022. The data was analyzed through univariable and multivariable logistic regression analysis.

SSGU-CD: A combined semantic and structural information graph U-shaped network for document-level Chemical-Disease interaction extraction.

Document-level interaction extraction for Chemical-Disease is aimed at inferring the interaction relations between chemical entities and disease entities across multiple sentences. Compared with sentence-level relation extraction, document-level relation extraction can capture the associations between different entities throughout the entire document, which is found to be more practical for biomedical text information. However, current biomedical extraction methods mainly concentrate on sentence-level relation extraction, making it difficult to access the rich structural information contained in documents in practical application scenarios.

Testing four cognition bolt-on items to the EQ-5D in a general Chinese population.

Objectives: This study aimed to evaluate the psychometric properties of four candidate cognition bolt-on items and their combinations to the EQ-5D-5L.

Methods: Four cognition items (concentration, memory, calculation, and learning) were developed as separate questionnaire items, and were administered with the standard EQ-5D-5L to 640 individuals in a general population survey in China. From the 4 items, 11 compound items were constructed, and the 'worse level counts' rule was used to calculate a compound item score.

Transitioning between the EQ-5D youth and adult descriptive systems in a group of adolescents.

Purpose: To investigate whether the same health state results in the same distribution of responses on the EQ-5D youth and adult descriptive systems.

Methods: Adolescents aged 13-18 years with a range of health conditions and from the general school going population were recruited in South Africa (ZA) and Ethiopia (ET). In ZA participants completed the English EQ-5D-3L, EQ-5D-Y-3L and EQ-5D-5L in parallel.

Can items derived from international literature be used in national quality of life instruments? A qualitative study conceptualising the EQ-HWB in China.

Introduction: The EQ Health and Wellbeing (EQ-HWB) is a new questionnaire for measuring quality of life (QoL) from a broad perspective. The items of the EQ-HWB were derived based on a 'qualitative review' of literature, which reported primarily on Western studies. It can be argued that the QoL is a cultural-related concept and therefore people from China have a different understanding of the QoL.

Uncovering the Interfacial Strengthening Mechanisms of α-Mg/MgSn/β-Li Interfaces Using First-Principle Calculations and HAADF-STEM.

Previously, we reported our new invention of an ultralight (ρ = 1.61 g/cm) and super high modulus ( = 64.5 GPa) Mg-Li-Al-Zn-Mn-Gd-Y-Sn (LAZWMVT) alloy.