Dry eye disease(DED)is a common ocular surface disorder worldwide, primarily characterized by a loss of homeostasis of the tear film, and frequently associated with meibomian gland dysfunction(MGD), decreased tear film stability, ocular discomfort, and visual impairment. In recent years, factors such as the widespread use of digital devices,the aging population, and environmental changes have contributed to a significant increase in its global prevalence, making it a major public health concern. Red light therapy(RLT), also known as low-level laser therapy(LLLT)or photobiomodulation(PBM), is a non-invasive treatment that utilizes low-energy red or near-infrared light to irradiate tissues. It exerts photobiomodulatory effects to promote cellular repair and functional recovery. This therapy has demonstrated considerable potential in treating various ocular conditions. Its broader clinical application could improve therapeutic outcomes, alleviate patient discomfort and financial burden, and reduce the consumption of healthcare resources, thereby yielding significant socio-economic benefits. This paper systematically reviews the multifaceted mechanisms and application prospects of RLT in managing DED, including its anti-inflammatory effects, improvement of meibomian gland function, promotion of conjunctival goblet cell repair, and alleviation of visual fatigue, aiming to provide a theoretical foundation and practical reference for its clinical adoption.

Background Climate change poses a significant threat to public health. In China, relevant health intervention research is still in its early stages, and evidence for evaluating the effectiveness of regional climate change health adaptation strategies and measures is scarce. Objective To investigate the level of climate change-related health literacy among residents in Shenzhen, implement targeted health interventions, and assess the intervention effects as well as their influencing factors. Methods From July 2023 to January 2024, 4 communities were randomly selected in Shenzhen, and a total of 896 community residents were enrolled and divided into an intervention group (444 participants) and a control group (452 participants). Baseline and follow-up surveys on climate change-related health literacy were conducted among residents for both groups. During the period between the two surveys, the intervention group received targeted health interventions. Health literacy—comprising 3 dimensions: basic health knowledge and concepts, basic health skills, and healthy lifestyles—was defined as achieving ≥80% of the total score. A differences-in-differences model was adopted to analyze the impact of the intervention, and multiple linear regression was used to explore the factors influencing the intervention effect. Results The baseline survey showed that 240 out of the 896 surveyed residents (26.79%) possessed climate change health literacy. For the 3 dimensions, the number of residents and the proportions with corresponding literacy in descending order were: basic health skills (521, 58.15%), healthy lifestyles (345, 38.50%), and basic health knowledge and concepts (44, 4.91%). After the intervention, the intervention group showed a 3.19% increase in the total health literacy score, a 3.55% increase in basic health knowledge and concepts, and a 4.24% increase in basic health skills (t=2.79, 2.77, and 2.47 respectively) (P<0.05). No significant change was observed in healthy lifestyle scores (t=0.70, P>0.05). Further analysis showed that awareness of the “dual carbon goals” and occupation were significantly associated with the intervention effect on overall health literacy (P<0.05). For basic health knowledge and concepts, occupation, history of chronic diseases, and awareness of the “dual carbon goals” had statistically significant effects on the intervention outcomes (P<0.05). Regarding basic health skills, awareness of the “dual carbon goals” significantly influenced the intervention effect (P<0.001). In terms of healthy lifestyles, gender, educational level, occupation, and awareness of climate change were significantly associated with the intervention effect (P<0.05). Conclusion The climate change-related health literacy among community residents in Shenzhen is in urgent need of improvement. Health interventions can effectively enhance residents' basic health knowledge and concepts, basic health skills, and overall literacy level. In the future, it is necessary to strengthen the popularization of climate change health knowledge based on different population characteristics and further optimize intervention strategies, to comprehensively improve residents' health adaptation capacity to climate change.

As a key receptor for immune regulation， triggering receptor expressed on myeloid cells 2 （TREM2） plays an important role in the development and progression of liver diseases， but its specific mechanisms and regulatory strategies in different types and stages of liver diseases remain to be systematically elucidated. This article systematically reviews the molecular characteristics and signaling pathways of TREM2， elaborates on the multiple functions of TREM2⁺ macrophages in lipid metabolism， phagocytic function， inflammatory response， and fibrosis， and analyzes the dynamic and bidirectional roles of TREM2 in different liver diseases. Targeting the TREM2 signaling axis is expected to become a new strategy for regulating the hepatic immune microenvironment and intervening in disease progression.

Objective To investigate the characteristics of the relative electroencephalogram(EEG)power spectrum in cerebral in-farction patients with different lesion locations and neurological deficit severities.Methods From February,2024 to May,2025,70 patients with cerebral infarction who completed EEG examinations at Shijiazhuang People's Hospital were enrolled.They were divided into cortical group(n=19)and subcortical group(n=51)based on admission MRI/CT imaging,and divided into mild group(n=53)and moderate-to-se-vere group(n=17)according to the scores of National Institutes of Health Stroke Scale(NIHSS)and Barthel In-dex.All patients underwent 32-channel video-EEG monitoring.The power spectral density of α and θ waves,and the(δ+θ)/(α+β)ratio(DTABR)were analyzed in eight electrodes of F3,F4,P3,P4,T3,T4,O1 and O2.Results DTABR was higher in the cortical group than in the subcortical group across all eight electrodes(|Z|≥2.047,P<0.05),while the relative power decreased in α waves(|Z|≥1.968,P<0.05),and increased in θ waves(|Z|≥1.988,P<0.05)in the cortical group.DTABR was higher in the moderate-to-severe group than in the mild group(|Z|≥2.263,P<0.05).Conclusion Elevated DTABR suggests cortical involvement or more severe neurological impairment,and decreased αwave and increased θ wave activity are primarily observed in patients with cortical lesions,potentially serving as EEG indicators for identifying cortical involvement.

A method that integrates the features of image patches from corneal lesions and conjunctival congestion-like complications is proposed to address the limitations of manual keratitis diagnosis(i.e.,time-consuming,laborious,high subjectivity)and the generally low accuracy of automatic keratitis diagnosis based on original slit-lamp images.Specifically,samples are acquired from the corneal and conjunctival regions.A cost-sensitive convolutional neural network is then used to extract and concatenate the high-level features of these image patches.After dimensionality reduction through principal component analysis,the processed features are input into the fully connected layer for classification.Trained and evaluated on 6414 slit-lamp images collected from Ningbo Eye Hospital,the proposed method achieves accuracies of 97.8%,98.6%,and 97.0%for keratitis,normal cornea,and other abnormal corneas,respectively.This method effectively integrates relevant features and provides a feasible solution for high-accuracy keratitis diagnosis.

Stroke is characterized by a high disability rate. After stroke, patients will have different degrees of limb dysfunction, which seriously affects their quality of life. In recent years, fully immersive virtual technology has been gradually applied at home and abroad to promote limb function rehabilitation of stroke patients. This paper reviews the technical components, application forms, application effects, prospects and challenges of fully immersive virtual reality technology in limb function rehabilitation of stroke patients, in order to provide theoretical basis for the subsequent application of fully immersive virtual reality technology to improve the level of limb function rehabilitation of stroke patients.

Objective This study aims to construct and evaluate a clinical decision support system for individualized frequency repositioning in ICU patients using big data and modern information technology,with the goal of improving ICU nursing quality.Methods From February to August 2023,a dedicated research team was established to construct a data model based on real-world data from 3,988 ICU patients,assessing the impact of different position change frequencies on the incidence of pressure injuries.Based on this model,a decision support system was designed and developed,incorporating modules for personalized patient characteristics input,data analysis and result queries,decision recording,and patient file management.From September to November 2023,ICU nurses at a tertiary hospital in Qingdao city was selected to use the system.A usability survey was conducted using the System Usability Scale(SUS)to evaluate the system's usability.Results The constructed decision support system can display the outcomes for patients under 7 different position change frequencies based on the input of personalized patient characteristics and the calculation results from the data model,providing precise decision support for nurses.A total of 85 nurses participated in the system usability evaluation,with the SUS score of 64.22±13.9.Conclusion The constructed individualized frequency of repositioning decision support system for ICU patients demonstrates good scientific validity and usability,providing clinical nurses with a valuable reference for implementing personalized position change frequencies for patients.

Objective To observe the correlations between left atrial myocardial strain and left ventricular function in children with Duchenne muscular dystrophy(DMD).Methods Fifty-one DMD children(DMD group)and 42 healthy one(control group)were prospectively enrolled.The parameters of routine ultrasound and three-dimensional speckle-tracking echocardiography(3D-STE)were compared between groups,and the correlations between left atrial strain parameters and left ventricular function parameters were analyzed.Results The mitral annular lateral wall velocity(e'),left ventricular ejection fraction(LVEF),left atrial ejection fraction(LAEF),left atrioventricular coupling index(LACI),left ventricular global longitudinal strain(LVGLS),left atrial strain during reservoir phase(LASr)and left atrial strain during conduit phase(LAScd)were all lower,while mitral early diastolic peak flow velocity/e'(E/e'),left atrial stiffness index(LASI)and left atrial filling index(LAFI)were higher in DMD group than those in control group(all P＜0.05).In DMD group,LAEF,LASr and LAScd were moderately positively correlated with LVGLS(r=0.409,0.437,0.440,all P＜0.05),LAFI and LASI were weakly negatively correlated with LVGLS(r=-0.207,-0.223,both P＜0.05),while LASr was moderately positively correlated with e'(r=0.419,P＜0.05).Conclusion The left atrial myocardial strain was correlated with left ventricular systolic and diastolic function in DMD children.

Objective:To explore the effective active components of Qi Bi Anshen decoction(QAT)in the treatment of autism spectrum disorder(ASD)and its effects on ASD behaviors and related lipid metabolism abnormalities.Methods:24 adult male Sprague-Dawley rats were randomly divided into 3 groups:Control group,PPA group and PPA+QAT group.The ASD rat model was established by intracerebroventricular injection of propionic acid,and the QAT administration group was given intragastric administration for 7 days.Behavioral tests were conducted to detect the so-cial,repetitive stereotyped and anxiety-like behaviors of rats.UPLC-MS was used to analyze the differential metabolites and enriched pathways of rats.Network pharmacology was used to screen the effective active monomer components of QAT involved in regulating ASD.10 sexually mature C57BL/6J mice were randomly paired in male-female cages.The ASD mouse model was established by a single intraperitoneal injection of sodium valproate to pregnant mice.The preg-nant mice were randomly divided into 3 groups:Control group,VPA group and VPA+QUE group.The administration group was given QUE in the drinking water of pregnant mice until the end of the perinatal period.Behavioral tests were conducted to detect ASD-like behaviors in mice.Reagent kits were used to detect the contents of alkaline phosphatase(AKP),alanine aminotransferase(ALT),aspartate aminotransferase(AST),triglycerides(TG)and total cholesterol(TC)in the liver and serum of mice.Oil red O staining was used to observe the morphology of liver cells.Results:QAT administration could improve the ASD-like behaviors induced by PPA(P＜0.05).UPLC-MS analysis showed that the differential metabolites of each group of rats were mainly enriched in lipid metabolism pathways.Network pharmacol-ogy screening identified QUE as the effective active monomer component.QUE administration could improve the ASD-like behaviors induced by VPA(P＜0.05).QUE administration could reverse the abnormal changes in AKP,TC and TG in the liver induced by VPA(P＜0.05)and reduce lipid droplet deposition in the liver.Conclusion:The active monomer component QUE in QAT has therapeutic effects on ASD behaviors and related liver lipid metabolism abnormali-ties.

Objective To investigate the characteristics of the relative electroencephalogram(EEG)power spectrum in cerebral in-farction patients with different lesion locations and neurological deficit severities.Methods From February,2024 to May,2025,70 patients with cerebral infarction who completed EEG examinations at Shijiazhuang People's Hospital were enrolled.They were divided into cortical group(n=19)and subcortical group(n=51)based on admission MRI/CT imaging,and divided into mild group(n=53)and moderate-to-se-vere group(n=17)according to the scores of National Institutes of Health Stroke Scale(NIHSS)and Barthel In-dex.All patients underwent 32-channel video-EEG monitoring.The power spectral density of α and θ waves,and the(δ+θ)/(α+β)ratio(DTABR)were analyzed in eight electrodes of F3,F4,P3,P4,T3,T4,O1 and O2.Results DTABR was higher in the cortical group than in the subcortical group across all eight electrodes(|Z|≥2.047,P<0.05),while the relative power decreased in α waves(|Z|≥1.968,P<0.05),and increased in θ waves(|Z|≥1.988,P<0.05)in the cortical group.DTABR was higher in the moderate-to-severe group than in the mild group(|Z|≥2.263,P<0.05).Conclusion Elevated DTABR suggests cortical involvement or more severe neurological impairment,and decreased αwave and increased θ wave activity are primarily observed in patients with cortical lesions,potentially serving as EEG indicators for identifying cortical involvement.