Objective To analyse correlation between automatic quantification of emphysema and lung function based on artificial intelligence(AI)model algorithm by chest computed tomography(CT)in patients with chronic obstructive pulmonary disease(COPD).Methods The clinical and imaging data of hospitalized COPD patients who received chest CT plain scan in Taizhou Hospital of Zhejiang Province,Enze Hospital of Taizhou Enze Medical Center(Group)from December 2020 to May 2021 were retrospectively collected,patients were classified into five levels of ventilator-function decline.By using the AI model,the extent of emphysema lesions in COPD patients were calculated,low-attenuation areas below-950HU were identified and their low attenuation area percentage(LAA％)were calculated.Combined with the output results of AI model and whether each variable met the characteristics of normal distribution,Pearson correlation coefficient between percentage of measured forced expiratory volume at the end of 1 second to estimated value(FEV1％)and LAA％of each lung lobe,and the Spearman correlation coefficient between FEV1 as a percentage of forced vital capacity(FEV1/FVC)and LAA％of each lung lobe in patients with different COPD grades were calculated respectively.Results There was a negative correlation between total lung LAA％and FEV1/FVC in moderate COPD(r=-0.632,P=0.001).Total lung LAA％in very severe COPD was negatively correlated with both FEV1/FVC and FEV1％(r=-0.562,P=0.045 and r=-0.701,P=0.004).The results of lung segment analysis showed that LAA％of the left upper lung lobe was more strongly correlated with pulmonary function indicators in extremely severe COPD(r=-0.650,P=0.016 andr=-0.731,P=0.002).The correlation between left inferior lobe LAA％and FEV1/FVC was stronger correlation in patients with moderate COPD(r=-0.712,P=0.000).In smoking patients,LAA％was moderate correlated with FEV1(r=-0.534,P=0.006),and LAA％was moderate correlated with FEV1/FVC(r=-0.564,P=0.003).Conclusion AI-based emphysema quantification results have a good correlation with FEV1/FVC and FEV1％,which can provide strong support for the diagnosis and classification of COPD based on CT plain scan images.

Objective To analyse correlation between automatic quantification of emphysema and lung function based on artificial intelligence(AI)model algorithm by chest computed tomography(CT)in patients with chronic obstructive pulmonary disease(COPD).Methods The clinical and imaging data of hospitalized COPD patients who received chest CT plain scan in Taizhou Hospital of Zhejiang Province,Enze Hospital of Taizhou Enze Medical Center(Group)from December 2020 to May 2021 were retrospectively collected,patients were classified into five levels of ventilator-function decline.By using the AI model,the extent of emphysema lesions in COPD patients were calculated,low-attenuation areas below-950HU were identified and their low attenuation area percentage(LAA％)were calculated.Combined with the output results of AI model and whether each variable met the characteristics of normal distribution,Pearson correlation coefficient between percentage of measured forced expiratory volume at the end of 1 second to estimated value(FEV1％)and LAA％of each lung lobe,and the Spearman correlation coefficient between FEV1 as a percentage of forced vital capacity(FEV1/FVC)and LAA％of each lung lobe in patients with different COPD grades were calculated respectively.Results There was a negative correlation between total lung LAA％and FEV1/FVC in moderate COPD(r=-0.632,P=0.001).Total lung LAA％in very severe COPD was negatively correlated with both FEV1/FVC and FEV1％(r=-0.562,P=0.045 and r=-0.701,P=0.004).The results of lung segment analysis showed that LAA％of the left upper lung lobe was more strongly correlated with pulmonary function indicators in extremely severe COPD(r=-0.650,P=0.016 andr=-0.731,P=0.002).The correlation between left inferior lobe LAA％and FEV1/FVC was stronger correlation in patients with moderate COPD(r=-0.712,P=0.000).In smoking patients,LAA％was moderate correlated with FEV1(r=-0.534,P=0.006),and LAA％was moderate correlated with FEV1/FVC(r=-0.564,P=0.003).Conclusion AI-based emphysema quantification results have a good correlation with FEV1/FVC and FEV1％,which can provide strong support for the diagnosis and classification of COPD based on CT plain scan images.

Objective To address the bottlenecks in the application of wastewater biological treatment technology under space conditions,an experimental system for the biological treatment of space wastewater was constructed and its biochemical performance examined.The findings of this study will provide technical support for the biological treatment of space wastewater.Methods Based on the Membrane Aerated Biofilm Reactor(MABR)process,a biological treatment experimental system for space wastewater was constructed and conducted the continuous flow test for 77 days to investigate the performance of PVDF and PP membrane modules in the treatment of simulated air condensate.Results The results demonstrated that both membrane modules exhibited an average TOC removal rate of 90%,indicative of their effective organic matter removal capacity.In the air supply mode,the ammonia oxidation capacity was observed to be comparatively lower,whereas in the oxygen source without bubbling mode,the nitrogen oxidation rate and total nitrogen removal rate could be attained above 90%,indicating a notable degree of simultaneous nitrification and denitrification.The results demonstrated that the mode of gas supply had a significant impact on the nitrogen conversion performance.The abundance of nitrogen-converting bacteria in PP membrane module is higher than that in PVDF membrane module,indicating a better nitrogen-converting performance in PP membrane module.Conclusion The constructed wastewater biological treatment system is optimally suited for the treatment of air condensate,thereby offering a novel technical approach for space wastewater treatment.

Objective To explore the interaction mechanisms among different dimensions of online learning competence in undergraduates,providing scientific evidence for optimizing software design and online education strategies.Methods A cross-sectional study was conducted with 347 undergraduates from Kunming Medical University via an online questionnaire in October 2024.Reliability testing and exploratory factor analysis were performed using SPSS 26.0,while structural equation modeling was constructed with Amos 24.0.Results Driving force directly and positively influenced regulatory force(β=0.778,P<0.001)and reciprocal force(β=0.302,P=0.003),but had no significant direct effect on adaptive force(β=0.131,P=0.182).Regulatory force and reciprocal force both exerted direct positive effects on adaptive force(β=0.262,P=0.022;β=0.410,P<0.001).The indirect effect of driving force on adaptive force accounted for 78.1%of the total effect(P=0.007),with regulatory force showing a significant mediating role(β=0.178,P=0.023),while reciprocal force alone did not(β=0.108,P=0.060).A chain mediating effect(driving force→regulatory force→reciprocal force→adaptive force)was confirmed(β=0.124,P=0.004).Conclusion Driving force serves as the core of online learning competence,and adaptive capacity is enhanced through regulatory and reciprocal forces.To promote knowledge internalization and adaptability,it is required to optimize feedback mechanisms and deepen interactive designs in online learning platforms.

Objective To explore the mechanism of Lidan Huatan Huoxue Decoction improving cognitive impairment caused by obesity based on metabolomics.Methods Twenty-four 6-week-old male SD rats were randomly divided into a normal group fed with regular diet(Con,n=6)and a modeling group fed with high-fat and high-sugar diet(n=18).Rats with a body mass that is 20%higher than the standard body mass of their age-matched peers fed with ordinary diet were considered to have a successful obese model established.The presence of cognitive impairment was assessed by Morris water maze and Barnes maze tests.After the obese-induced cognitive impairment(OICI)model was established,the modeling rats were randomly divided into a model group(Model,n=6),a donepezil group(Donepezil,n=6),and a Lidan Huatan Huoxue Decoction group(LHH,n=6).Drugs were administered to the donepezil and LHH groups by gastric intubation.The donepezil group was administered with a dose of 0.45 mg·(kg·d)-1,while the LHH group was administered with a dose of 25 g·(kg·d)-1.The normal and model groups were given the same volume of normal saline by gastric intubation for 8 weeks.Before the rats were sacrificed,water maze and Barnes maze experiments were conducted to assess cognitive function.After sacrifice,specimens were collected for biochemical and histological examination of liver tissue and brain tissue.Non-targeted metabolomic analysis using liquid chromatography-mass spectrometry(LC-MS)was performed on feces,serum,and brain tissue to analyze changes in differential metabolites in rats.Results Compared with the model group,the intervention of Donepezil and LHH effectively improved the learning and memory ability of OICI rats(P<0.05 or P<0.01),inhibited the overactivation of hippocampal microglia,and increased the number of hippocampal synaptic proteins.LHH improved metabolic-related indicators in OICI rats(P<0.05 or P<0.01).Metabolomic analysis showed significant differences in metabolites in feces,serum,and brain tissue between the model group and the normal group.The main affected pathways in fecal metabolites included steroid biosynthesis,caffeine metabolism,lysosome,vitamin B6 metabolism,phenylalanine,tyrosine,and tryptophan biosynthesis.The main affected pathways in serum metabolites included central carbon metabolism in cancer,pentose phosphate pathway,mineral absorption,protein digestion and absorption,and aminoacyl-tRNA biosynthesis.The main affected pathways in brain tissue metabolites included glycerophospholipid metabolism,β-alanine metabolism,propionic acid metabolism,niacin and nicotinamide metabolism,and caffeine metabolism.After LHH intervention,fecal metabolites showed the most significant changes,mainly involving vitamin B6 metabolism,vitamin digestion and absorption,histidine metabolism,fructose and mannose metabolism,and steroid biosynthesis.Conclusion LHH can improve cognitive impairment in obese rats mainly by regulating fecal metabolites.The main pathways involved include vitamin B6 metabolism,vitamin digestion and absorption,histidine metabolism,fructose and mannose metabolism,and steroid biosynthesis.Among them,vitamin B6 metabolism and vitamin digestion and absorption may be the most important pathways.

Objective To explore the mechanism of Lidan Huatan Huoxue Decoction improving cognitive impairment caused by obesity based on metabolomics.Methods Twenty-four 6-week-old male SD rats were randomly divided into a normal group fed with regular diet(Con,n=6)and a modeling group fed with high-fat and high-sugar diet(n=18).Rats with a body mass that is 20%higher than the standard body mass of their age-matched peers fed with ordinary diet were considered to have a successful obese model established.The presence of cognitive impairment was assessed by Morris water maze and Barnes maze tests.After the obese-induced cognitive impairment(OICI)model was established,the modeling rats were randomly divided into a model group(Model,n=6),a donepezil group(Donepezil,n=6),and a Lidan Huatan Huoxue Decoction group(LHH,n=6).Drugs were administered to the donepezil and LHH groups by gastric intubation.The donepezil group was administered with a dose of 0.45 mg·(kg·d)-1,while the LHH group was administered with a dose of 25 g·(kg·d)-1.The normal and model groups were given the same volume of normal saline by gastric intubation for 8 weeks.Before the rats were sacrificed,water maze and Barnes maze experiments were conducted to assess cognitive function.After sacrifice,specimens were collected for biochemical and histological examination of liver tissue and brain tissue.Non-targeted metabolomic analysis using liquid chromatography-mass spectrometry(LC-MS)was performed on feces,serum,and brain tissue to analyze changes in differential metabolites in rats.Results Compared with the model group,the intervention of Donepezil and LHH effectively improved the learning and memory ability of OICI rats(P<0.05 or P<0.01),inhibited the overactivation of hippocampal microglia,and increased the number of hippocampal synaptic proteins.LHH improved metabolic-related indicators in OICI rats(P<0.05 or P<0.01).Metabolomic analysis showed significant differences in metabolites in feces,serum,and brain tissue between the model group and the normal group.The main affected pathways in fecal metabolites included steroid biosynthesis,caffeine metabolism,lysosome,vitamin B6 metabolism,phenylalanine,tyrosine,and tryptophan biosynthesis.The main affected pathways in serum metabolites included central carbon metabolism in cancer,pentose phosphate pathway,mineral absorption,protein digestion and absorption,and aminoacyl-tRNA biosynthesis.The main affected pathways in brain tissue metabolites included glycerophospholipid metabolism,β-alanine metabolism,propionic acid metabolism,niacin and nicotinamide metabolism,and caffeine metabolism.After LHH intervention,fecal metabolites showed the most significant changes,mainly involving vitamin B6 metabolism,vitamin digestion and absorption,histidine metabolism,fructose and mannose metabolism,and steroid biosynthesis.Conclusion LHH can improve cognitive impairment in obese rats mainly by regulating fecal metabolites.The main pathways involved include vitamin B6 metabolism,vitamin digestion and absorption,histidine metabolism,fructose and mannose metabolism,and steroid biosynthesis.Among them,vitamin B6 metabolism and vitamin digestion and absorption may be the most important pathways.

Objective To systematically analyze the cross-sectoral health policy frameworks and strategic priorities of the World Health Organization(WHO),United Nations Educational,Scientific and Cultural Organization(UNESCO),Euro-pean Union(EU),and China in promoting college students'physical activity,adolescent health and mental health,to explore the ways integrating physical activity-related health policies with the polices of college students health and quality physical education.Methods Based on WHO's health promotion framework and with reference to the"Health in All Policies"(HiAP)ap-proach,a content analysis was conducted on health-related policies of WHO,UNESCO,EU and China.Results In the health sector,the international community established a policy system centered on health promotion and the governance concept of HiAP.WHO's Global Action Plan on Physical Activity 2018-2030 and related strate-gies on mental health identified physical activity as a core measure to promote both physical and mental health.The EU's recommendations on Health-Enhancing Physical Activity provided a scheme for translating global strat-egies into monitorable cross-sectoral regional actions.China's national strategies,such as Healthy China 2030 Planning Outline and Integration of Sports and Education demonstrated strong advantages in policy mobilization and resource allocation,with distinct focuses compared to international frameworks in terms of policy systematic-ity,participatory implementation and evaluation orientation.In the education sector,international policies empha-sized the integration of health promotion and education,evolving from ensuring Physical Education Hours to pro-moting Quality Physical Education and Physical Literacy.Through the frameworks like Kazan Action Plan and Health Promoting Universities represented by Okanagan Charter,campus sports was elevated to a level of serv-ing sustainable development and promoting overall well-being.China's National Fitness Program(2021-2025)and Basic Standards for Physical Education in Higher Education Institutions provided specific implementation plans for such integration.Conclusion For the cross-sectoral issue of college students physical activity and health,the international community has constructed an integrated policy framework based on health promotion,integrating policies on physical activity,adolescent health and mental health,to establish a more comprehensive,systematic and inclusive path.In higher education,the trend of integrating health and education policies is significant;physical activity is no longer re-garded as an isolated issue in physical education,but as a key cross-cutting strategy and policy to address non-communicable diseases,improve mental health,promote the holistic development of youth,and achieve the Sus-tainable Development Goals.China should,on the basis of Integration of Sports and Education,further expand HiAP-based cross-sectoral collaboration in accordance with health promotion principles;policy goals should not only focus on physical fitness standards,but also consider intrinsic interest,enjoyable experience and lifelong habit formation;and actively draw on the holistic systems perspective of Health Promoting Universities to build a supportive campus health promotion ecosystem that facilitates the comprehensive physical and mental develop-ment of every student.

Objective:To construct a nomogram based on preoperative MRI imaging features for the prediction of muscle-invasive upper urinary tract urothelial carcinoma（UTUC）and evaluate its performance.Methods:This retrospective cohort study analyzed the clinical data of 99 UTUC patients treated at the First Affiliated Hospital of Nanjing Medical University from April 2018 to May 2024. Among them，69（69.7%）were male and 30（30.3%）were female，with a median age of 67.0 years. All patients underwent preoperative MRI and radical nephroureterectomy. According to postoperative pathology，tumors staged ≥ T 2 were assigned to the muscle-invasive group，and those staged ≤ T 1 were assigned to the non-muscle-invasive group. Baseline data，pathological information，and imaging characteristics were collected and compared between the two groups. Logistic regression analysis was performed to identify risk factors for muscle-invasive UTUC，and a nomogram was constructed. The diagnostic performance of the model was assessed using receiver operating characteristic（ROC）curves，calibration curves，and decision curve analysis（DCA）. Results:Among the 99 patients，70（70.7%）were diagnosed with muscle-invasive UTUC，and 29（29.3%）with non-muscle-invasive UTUC. The muscle-invasive group had significantly larger tumor size［4.5（2.8，7.0）cm vs. 3.0（2.3，4.5）cm， P = 0.029］，a higher incidence of multifocal tumors［37.1%（26/70）vs. 3.5%（1/29）， P < 0.001］，patchy tumors［30.0%（21/70）vs. 6.9%（2/29）， P = 0.019］，spiculated tumor margins［52.9%（37/70）vs. 17.2%（5/29）， P = 0.001］，tumor compression on renal parenchyma or periureteral/peripelvic fat［68.6%（48/70）vs. 10.3%（3/29）， P < 0.001］，high-grade pathology［92.9%（65/70）vs. 75.9%（22/29）， P = 0.043］，lymph node metastasis［28.6%（20/70）vs. 0， P = 0.001］，and lymphovascular invasion［42.9%（30/70）vs. 10.3%（3/29）， P=0.002］. The apparent diffusion coefficient（ADC）values［0.9（0.8，1.1）× 10 -3 mm2/s vs. 1.1（1.0，1.4）× 10 -3 mm2/s， P < 0.001］and normalized ADC（NADC）values［0.8（0.7，1.0）vs. 0.9（0.8，1.1）， P = 0.002］were significantly lower in the muscle-invasive group. Univariate logistic regression identified multifocality，patchy tumor patterns，spiculated tumor margins，tumor compression on renal parenchyma or periureteral/peripelvic fat，and low NADC values as risk factors for muscle-invasive UTUC（all P < 0.05）. Multivariate analysis revealed multifocality（ OR = 17.903，95% CI 1.650 - 194.253， P = 0.018），tumor compression on renal parenchyma or perirenal / ureteral fat（ OR = 14.690，95% CI 3.069 - 70.323， P < 0.001），and low NADC value（ OR = 0.016，95% CI 0.001 - 0.471， P = 0.017）as independent risk factors. A nomogram was constructed based on these factors. The area under the ROC curve（AUC）of the model was 0.898（95% CI 0.838 - 0.957），with an optimal cutoff value of 0.639. The model showed an accuracy of 83.8%，sensitivity of 81.4%，and specificity of 89.7%. Calibration curves indicated good calibration，and DCA showed that the model provided substantial clinical net benefit. Conclusions:This study constructed a nomogram based on preoperative MRI features，including tumor multifocality，compression on renal parenchyma or periureteral/peripelvic fat and NADC value，which demonstrates good predictive performances for muscle-invasive UTUC.

The three-dimensional (3D) printed bone tissue repair guide scaffold is considered a promising method for treating bone defect repair. In this experiment, chitosan (CS), sodium alginate (SA), and mineralized collagen (MC) were combined and 3D printed to form scaffolds. The experimental results showed that the printability of the scaffold was improved with the increase of chitosan concentration. Infrared spectroscopy analysis confirmed that the scaffold formed a cross-linked network through electrostatic interaction between chitosan and sodium alginate under acidic conditions, and X-ray diffraction results showed the presence of characteristic peaks of hydroxyapatite, indicating the incorporation of mineralized collagen into the scaffold system. In the in vitro collagen release experiments, a weakly alkaline environment was found to accelerate the release rate of collagen, and the release amount increased significantly with a lower concentration of chitosan. Cell experiments showed that scaffolds loaded with mineralized collagen could significantly promote cell proliferation activity and alkaline phosphatase expression. The subcutaneous implantation experiment further verified the biocompatibility of the material, and the implantation of printed scaffolds did not cause significant inflammatory reactions. Histological analysis showed no abnormal pathological changes in the surrounding tissues. Therefore, incorporating mineralized collagen into sodium alginate/chitosan scaffolds is believed to be a new tissue engineering and regeneration strategy for achieving enhanced osteogenic differentiation through the slow release of collagen.
Chitosan/chemistry* ; Alginates/chemistry* ; Tissue Scaffolds/chemistry* ; Printing, Three-Dimensional ; Osteogenesis ; Collagen/chemistry* ; Cell Differentiation ; Animals ; Tissue Engineering/methods* ; Cell Proliferation ; Biocompatible Materials ; Glucuronic Acid/chemistry* ; Hexuronic Acids/chemistry*

Small cell lung cancer (SCLC) is the thoracic malignant tumor and accounts for about 15% of lung malignancies and transfer often occurs by the time of diagnosis. Extensive stage-small cell lung cancer (ES-SCLC) accounts for about 2/3 of all SCLC. For many years, radiotherapy has occupied an important position in the treatment of SCLC, especially in the treatment of ES-SCLC, because SCLC is more sensitive to radiotherapy. However, in recent years, immune checkpoint inhibitor has shown more excellent antitumor activity in the treatment of ES-SCLC and become the mainstream argument for the treatment of ES-SCLC. However, will radiotherapy be buried by the times among the therapeutic approaches for ES-SCLC? In this article, we will review the clinical progress of radiotherapy, immunotherapy and combination therapy for ES-SCLC.
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Humans ; Small Cell Lung Carcinoma/therapy* ; Lung Neoplasms/therapy* ; Immunotherapy ; Neoplasm Staging ; Radiotherapy/methods* ; Combined Modality Therapy