Objective To investigate the 30-day mortality risk factors in elderly patients with heart failure with reduced ejection fraction (HFrEF) after isolated coronary artery bypass grafting (CABG) and to construct a nomogram for predicting mortality risk. Methods A retrospective analysis of elderly (≥70 years) HFrEF patients undergoing isolated CABG at Tianjin Chest Hospital from 2010 to 2024 was performed. Simple random sampling in R software was used to divide the dataset into training and validation sets in a 7 : 3 ratio. The training set was further divided into survivors and non-survivors. Univariate logistic regression was performed to identify differences between groups, followed by multivariate logistic regression to select independent risk factors for death and to establish a death-risk nomogram, which underwent internal validation. The predictive value of the nomogram was assessed by plotting receiver operating characteristic (ROC) curves, calibration curves, and decision-curve analyses for both the training and validation sets. Results A total of 656 patients were included. The training set consisted of 458 patients (survivors 418, deaths 40); the validation set consisted of 198 patients (survivors 180, deaths 18). In the training set, univariate analysis showed significant differences between survivors and deaths for creatinine (Cr) level, brain natriuretic peptide (BNP), maximum Cr, intra-aortic balloon pump (IABP) use, assisted ventilation, reintubation, hyperlactatemia, low cardiac output syndrome, and renal failure (P<0.05). After multivariable logistic regression, five independent risk factors were identified: IABP use (OR=3.391, 95%CI 1.065-11.044, P=0.038), reintubation (OR=15.991, 95%CI 4.269-67.394, P<0.001), hyperlactatemia (OR=8.171, 95%CI 2.057-46.089, P=0.007), Cr (OR=4.330, 95%CI 0.997-6.022, P=0.024), and BNP (OR=1.603, 95%CI 1.000-2.000, P=0.010). Accordingly, a nomogram predicting mortality risk was constructed. The ROC and calibration analyses indicated good predictive value: area under the curve (AUC) in the training set was 0.898 (95%CI 0.831-0.966) and in the validation set was 0.912 (95%CI 0.805-1.000). Calibration and decision-curve analyses showed good agreement and clinical utility. Conclusion The nomogram incorporating IABP use, reintubation, hyperlactatemia, creatinine, and BNP provides good predictive value for 30-day mortality after CABG in elderly patients with HFrEF and demonstrates potential clinical utility.

Objective: To investigate the association between different digital media usage types and depressive symptoms among junior and senior high school students, so as to provide a scientific reference for making precise mental health prevention and intervention strategies for adolescents. Methods: In October 2024, a convenience cluster sample of 3 225 students was collected from 2 junior high schools and 2 senior high schools in Shenyang City. Participants were investigated for its daily usage duration of various digital media types and depressive symptoms. Cochran-Armitage trend test was used to examine trend in depressive symptom detection rates across digital media usage types. Multivariate Logistic regression model was employed to assess associations, with stratified analyses by gender and educational stage. Results: The daily usage durations for educational/learning, social/chatting, gaming, and video/music/novel digital media were 30.0(12.1, 60.0), 22.9(9.3, 50.0), 17.1(0.0, 50.0), and 22.9(8.6, 55.7) minutes for junior and senior high school students, respectively. The detection rate of depressive symptoms was 46.1%. Among them, the detection rate of depressive symptoms of girls (49.8%) was higher than that of boys (42.3%), and that of senior high school students (53.2%) was higher than that of junior high school students (39.7%), and the differences were statistically significant ( χ 2= 18.35, 59.02, both P <0.01). Cochran-Armitage trend test revealed significant upward trends in depressive symptom detection rates with increasing usage of non educational digital media (social/chatting: Z =4.77; gaming: Z =3.24; video/music/novel: Z =7.30, all P <0.01). Logistic regression analysis showed that, compared to usage <1 h/d, using social/chatting digital media for 1-<2 h/d ( OR =1.66), 2-<3 h/d ( OR =1.80), and ≥3 h/d ( OR =2.68), gaming for 1-<2 h/d ( OR =1.48), 2-<3 h/d ( OR =1.90), and ≥3 h/d ( OR =2.93), and video/music/novel for 1-<2 h/d ( OR =1.76), 2-<3 h/d ( OR =2.00), and ≥3 h/d ( OR = 3.48) were all significantly associated with increased risks of depressive symptoms (all P <0.01). Conclusions Excessive use of non-educational digital media is a risk factor for depressive symptoms in adolescents. Regulating usage duration is beneficial for promoting adolescent mental health.

BACKGROUND Sepsis is a prevalent and severe condition, with microcirculation disruptions playing a crucial role in its progression. Endothelial cell (EC) injury is the primary factor behind microcirculatory issues. This review is to outline the pathomechanism, organ heterogeneity, biomarkers, and therapeutic implications of endothelial dysfunction in sepsis, offering references and insights for the clinical management of sepsis. METHODS: A systematic search of Web of Science and PubMed from inception to June 10, 2025, limited to English publications, was conducted. Two reviewers independently identified studies on EC injury in patients with septic microcirculatory dysfunction. Duplicate articles based on multiple search criteria were excluded. RESULTS: Fifty-nine articles, including cell, animal, and clinical studies, were included. These studies reported the effects of EC injury on the microcirculation in sepsis, including changes in vascular permeability, coagulation dysfunction, vasomotor regulation, and inflammatory responses. These pathways interact and ultimately lead to septic microcirculation disorders. CONCLUSION: Sepsis-induced endothelial dysfunction involves various interconnected mechanisms, which collectively compromise ECs and impede microcirculatory perfusion. Future research should enhance current understanding of endothelial injury mechanisms, develop synergistic multi-target strategies to disrupt this cycle, and facilitate the clinical application of endothelial markers for early intervention and dynamic assessment.

Objective To systematically review international research on health communication, and to provide valuable insights and reference for China's health communication research and practice. Methods This study included 693 articles published from January 2023 to April 2024 in two authoritative academic journals in the field of health communication, ^“Health Communication^” and the ^“Journal of Health Communication^”. A systematic review was conducted on the themes, theoretical foundations, research methods, and populations of international health communication research. Results The findings in this study revealed that international health communication research topics were diverse, with hotspots including social media, health information behavior, health misinformation, stigmatization, trust, and risk perception. The results showed that 34% of the articles were based on theoretical foundations, and 93.3% employed research methods, focusing on adolescents, parents, women, and other key populations. Conclusion Domestic health communication research can expand its perspective from ^“information transmission^” to ^“social interaction^”, innovate theories and methods from ^“single paradigm" to ^“multi-integration^” and shift focus from a ^“mass perspective^” to ^“targeted care^” for the health of all populations. Domestic health communication practice can delve into the localization of social media health communication practices, the comprehensive management of health misinformation, and the critical application of new technologies.

Artificial life is the goal pursued by cognitive philosophy， cognitive science， and artificial intelligence， yet its realization has consistently encountered challenge. The generative mechanisms of artificial life include self-organization， emergence， and agency， all of which are difficult to precisely grasp in the cognitive paradigm. Evolutionary biology demonstrates that natural life possesses extraordinary adaptability. For artificial artifacts， the way to endow them with life-like characteristics involves first transforming them into self-organizing systems with emergence， and then evolving them into embodied agents possessing agency and moral cognitive capacity. This process reveals the functional and informational properties of artificial life， manifesting its adaptive representational character.

ObjectiveTo establish a model of dry eye with lung Yin deficiency syndrome in mice. MethodsA total of 40 SPF C57BL/6J mice were assigned via the random number table method into 5 groups （n=8）： Normal control， model control， and high-， medium-， and low-dose （11.7， 5.85， and 2.925 g·kg^-1， respectively） Yangyin Qingfeitang. Mice in the normal control group were fed normally without any intervention. Mice in Yangyin Qingfeitang group and model control group were treated with 0.2% benzalkonium chloride eye drops （5 μL） twice a day and fed in a controlled drying system in a dry environment for 28 days. At the same time， the mice were administrated with thyroxine tablet solution by gavage and placed in a glass fumigation tank （SO₂ concentration： 0.5 g·m^-3） for 14 days. After 4 weeks， mice in Yangyin Qingfeitang groups were treated with Yangyin Qingfeitang by gavage and those in the normal control group and model control group were administrated with deionized water at 0.01 mL·g^-1. The body mass， anal temperature， four examination information （claw and nail appearance）， basic tear secretion test， tear film rupture time， corneal fluorescein staining， and lacrimal gland HE staining were compared among groups. Compound Yangyin Qingfeitang granules were used to measure the syndrome to verify the success of modeling. ResultsAfter 28 days of continuous modeling， compared with the normal control group， the model group exhibited listless and emaciated status， coughing， drowsiness， dry and dull hair， dry and hard stool， reduced food intake and water intake， red lip circumference， red tongue with reduced fluid， dry nose and teeth， red claws and nails， body mass gain， decreased anal mild tear secretion （P<0.05）， and shortened tear film rupture time （P<0.05）. After 28 days of modeling， the mice showed large corneal fluorescein staining range， severe corneal injury， and increased content of interleukin （IL）-18， IL-β， and tumor necrosis factor （TNF）-α in lacrimal gland， compared with those in the normal control group （P<0.05）. After the treatment with Yangyin Qingfeitang， the mice had good drinking and eating conditions， with lighter redness of the tongue， moist nose， moist and shiny teeth， and the claw and nail color close to that in the normal group. Compared with the model control group， Yangyin Qingfeitang groups showed increases in body mass and anal temperature （P<0.05）， tear secretion （P<0.05）， and tear film rupture time （P<0.05）， narrowed range of corneal fluorescein staining， and declined levels of IL-18， IL-β， and TNF-α in lacrimal glands （P<0.01）. The high-dose group had the best effect， with the indicators close to the levels in the normal control group. ConclusionThe animal model of dry eye with lung Yin deficiency syndrome can be established by culture in a controlled drying system， treatment with benzalkonium chloride eye drops for 28 days， and administration of thyroxine tablet solution combined with SO₂ fumigation for 14 days.

Abstract To further differentiate the differentiated effects of emotional responses to social media among adolescents, the study systematically reviews the main current methods for measuring social media emotional responses. It elaborates on the impacts of adolescents emotional responses to social media on their physical health, mental health, and social adaptation, as well as the multiple pathways and potential mechanisms through which adverse health effects are induced. It also highlights the current lack of empirical support for biological mechanisms in existing research, and provides a reference for future in depth exploration of biological mechanisms and the development of effective intervention strategies.

High-throughput sequencing-based high-throughput screening （HTS²） technology， as a new advancement in the field of high-throughput biotechnology， is the world's first technology to integrate high-throughput sequencing into large-scale drug screening and target discovery. The artificially designed DNA probes were bound to the undetermined mRNAs of thousands of genes in cell lysates， and then the probes were ligated with ligases. The large-scale simultaneous detection of gene expression changes in thousands of drug-treated cell samples was performed using barcoding， automated operating platforms， and high-throughput sequencers. This technology enables high-throughput identification of drugs that significantly perturb the gene expression profiles characteristic of diseases. It can also take gene expression signature as the readout and exert great high-throughput advantages in the screening of multi-drug， multi-component， and multi-target drugs， as well as the research on complex mechanisms. Therefore， it is particularly suitable for elucidating the multi-target mechanisms of traditional Chinese medicine and identifying its multi-effective components. Its main technical advantages include high throughput， automation， and low cost. In recent years， HTS² technology has yielded important achievements in the elucidation of the mechanism of action of traditional Chinese medicine formulas， the scientific connotation analysis of the regional characteristics of traditional Chinese medicine， the targeted isolation of active compounds of traditional Chinese medicine， and the discovery of novel pharmacological functions of monomeric compounds of traditional Chinese medicine. In the era of artificial intelligence， HTS² technology will serve as a powerful tool for generating high-quality， original big data of traditional Chinese medicine， providing core data support and promoting AI-driven traditional Chinese medicine research. Ultimately， HTS² technology offers new strategies and critical data support for deeply analyzing the scientific connotation of traditional Chinese medicine and discovering novel traditional Chinese medicine-based drugs， thereby accelerating the modernization and internationalization of traditional Chinese medicine in China.

In 2022， Hainan provincial government launched the project for the prevention and control of viral hepatitis with the goals of a hepatitis B screening rate of 90%， a diagnostic rate of 90%， and a treatment rate of 80% among people aged 18 years and above by the year 2025， and the main intervention measures include population-based prevention， case screening， antiviral therapy， and health management. As of December 31， 2024， a total of 6.875 million individuals in the general population had been screened for hepatitis B， with a screening rate of 95.6%. A total of 184 710 individuals with positive HBsAg were identified， among whom 156 772 were diagnosed through serological reexamination， resulting in a diagnostic rate of 84.9%. A total of 50 742 patients with chronic hepatitis B were identified， among whom 42 921 had hepatitis B-specific health records established for health management， with a file establishment rate of 84.6%. A total of 31 553 individuals received antiviral therapy， with a treatment rate of 62.2%. A total of 2.503 million individuals at a high risk of hepatitis C were screened， among whom 4 870 tested positive for HCV antibody and 3 858 underwent HCV RNA testing， resulting in a diagnostic rate of 79.2%， and 1 824 individuals with positive HCV RNA were identified， among whom 1 194 received antiviral therapy， with a treatment rate of 65.5%. In addition， 159 301 individuals with negative HBsAg and anti-HBs and an age of 20 — 40 years were inoculated with hepatitis B vaccine free of charge. Through the implementation of the project for the prevention and control of viral hepatitis， a large number of hepatitis patients have been identified， treated， and managed in the province within a short period of time， which significantly accelerates the efforts to eliminate the crisis of viral hepatitis.

Background and Objectives: Patients with dilated cardiomyopathy (DCM) tend to be accompanied by biventricular impairment. We hypothesized that the combination of the aortic pulsatility index (API) and pulmonary artery pulsatility index (PAPI) could refine risk stratification in DCM. Methods: We studied 120 consecutive patients with advanced DCM who underwent right heart catheterization (RHC). The primary outcome was all-cause mortality within 1 year after RHC. We used the receiver operating characteristic curve to determine the optimal cut-off of API and PAPI to predict outcomes. Results: The optimal cut-offs of API (1.02) and PAPI (2.16) were used to classify patients into four groups. There were significant differences in left ventricular ejection fraction (LVEF) and tricuspid annular plane systolic excursion (TAPSE) among the four groups (both p<0.05).When delineating API by LVEF above or below the median (28%), the cumulative rate of survival in patients with API <1.02 was lower than that of those with API ≥1.02 in both higher and lower LVEF groups (both p<0.05). Similar trends were observed when delineating PAPI using TAPSE higher or lower than the cut-off (17 mm) (both p<0.05). The cumulative rate of survival in the API <1.02 and PAPI <2.16 group was lower than that in the API ≥1.02 and/or PAPI ≥2.16 (all p<0.05). Conclusions API and PAPI could add additional prognostic value to LVEF and TAPSE, respectively. The combination of API and PAPI could provide a comprehensive assessment of biventricular function and refine risk stratification.