Objective To evaluate the predictive ability and clinical application value of artificial intelligence (AI) systems in the benign and malignant differentiation and pathological type of pulmonary nodules, and to summarize clinical application experience. Methods A retrospective analysis was conducted on the clinical data of patients with pulmonary nodules admitted to the Department of Thoracic Surgery, Second Hospital of Lanzhou University, from February 2016 to February 2025. Firstly, pulmonary nodules were divided into benign and non-benign groups, and the discriminative abilities of AI systems and clinicians were compared. Subsequently, lung nodules reported as precursor glandular lesions (PGL), microinvasive adenocarcinoma (MIA), and invasive adenocarcinoma (IAC) in postoperative pathological results were analyzed, comparing the efficacy of AI systems and clinicians in predicting the pathological type of pulmonary nodules. Results In the analysis of benign/non-benign pulmonary nodules, clinical data from a total of 638 patients with pulmonary nodules were included, of which there were 257 males (10 patients and 1 patient of double and triple primary lesions, respectively) and 381 females (18 patients and 1 patient of double and triple primary lesions, respectively), with a median age of 55.0 (47.0, 61.0) years. Different lesions in the same patient were analyzed as independent samples. Univariate analysis of the two groups of variables showed that, except for nodule location, the differences in the remaining variables were statistically significant (P<0.05). Multivariate logistic regression analysis showed that age, nodule type (subsolid pulmonary nodule), average density, spicule sign, and vascular convergence sign were independent influencing factors for non-benign pulmonary nodules, among which age, nodule type (subsolid pulmonary nodule), spicule sign, and vascular convergence sign were positively correlated with non-benign pulmonary nodules, while average density was negatively correlated with the occurrence of non-benign pulmonary nodules. The area under the receiver operating characteristic curve (AUC) of the malignancy risk value given by the AI system in predicting non-benign pulmonary nodules was 0.811, slightly lower than the 0.898 predicted by clinicians. In the PGL/MIA/IAC analysis, clinical data from a total of 411 patients with pulmonary nodules were included, of which there were 149 males (8 patients of double primary lesions) and 262 females (17 patients of double primary lesions), with a median age of 56.0 (50.0, 61.0) years. Different lesions in the same patient were analyzed as independent samples. Univariate analysis results showed that, except for gender, nodule location, and vascular convergence sign, the differences in the remaining variables among the three groups of PGL, MIA, and IAC patients were statistically significant (P<0.05). Multinomial multivariate logistic regression analysis showed that the differences between the parameters in the PGL group and the MIA group were not statistically significant (P>0.05), and the maximum diameter and average density of the nodules were statistically different between the PGL and IAC groups (P<0.05), and were positively correlated with the occurrence of IAC as independent risk factors. The average AUC value, accuracy, recall rate, and F1 score of the AI system in predicting lung nodule pathological type were 0.807, 74.3%, 73.2%, and 68.5%, respectively, all better than the clinical physicians’ prediction of lung nodule pathological type indicators (0.782, 70.9%, 66.2%, and 63.7% respectively). The AUC value of the AI system in predicting IAC was 0.853, and the sensitivity, specificity, and optimal cutoff value were 0.643, 0.943, and 50.0%, respectively. Conclusion This AI system has demonstrated high clinical value in predicting the benign and malignant nature and pathological type of lung nodules, especially in predicting lung nodule pathological type, its ability has surpassed that of clinical physicians. With the optimization of algorithms and the adequate integration of multimodal data, it can better assist clinical physicians in formulating individualized diagnostic and treatment plans for patients with lung nodules.

Objective:To explore the application and key points of microchannel approaches in resec-tion of cervical intraspinal tumors.Methods:A retrospective analysis was performed on 51 cases of cervi-cal spinal canal tumors from February 2017 to March 2020.Among them,5 cases were located epidural space,6 cases were located epidural and subdural space,and 40 cases were located under the subdural extramedullary space(6 cases were located on the ventral side of the spinal cord).The maximum diameter ranged from 0.5 to 3.0 cm.The clinical manifestations included neck,shoulder or upper limb pain 43 cases,sensory disturbance(numbness)in 22 cases,and limb weakness in 8 cases.The micro-channel keyhole technique was used to expose the tumor,and the tumor was resected microscopically.Results:In this study,35 patients underwent hemilaminectomy,12 patients underwent interlaminar fenestration,2 patients underwent medial 1/4 facetectomy on the basis of hemilaminectomy or interlaminar fenestration.Two tumors were resected through anatomy space(no bone was resected).The degree of tumor resection included total resection in 50 cases and subtotal resection in 1 case.The type of the tumor included 36 schwannomas,12 meningiomas,2 enterogenic cysts and 1 dermoid cyst.There was no infec-tion and cerebrospinal fluid leakage postoperatively.Limb numbness occurred in 7 patients.The average follow-up time was 15 months(3 to 36 months).No deformity such as cervical instability or kyphosis was found.The tumor had no recurrence.Conclusion:The cervical spinal canal is relatively wide,cervical tumors with no more than three segments can be fully exposed by means of microchannel technology.Besides intramedullary or malignant tumors,they can be microsurgically removed.Preservation of the skeletal muscle structure of cervical spine is beneficial to recover the anatomy and function of cervical spine.The electrophysiological monitoring helps to avoid spinal cord or nerve root injury.

Objective:This study is to investigate the relationship of parental anger expression and symptoms in children with oppositional defiant disorder(ODD).Methods:Forty-six children with ODD and 46 age-gender-matched normal children participated.The Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition(DSM-5),guided the diagnoses.Parental anger expression and children's anger management were assessed using the State-Trait Anger Expression Inventory-2 and Children Emotion Management Scales.Results:ODD symptoms were directly predicted by maternal anger index(AI)(β=0.13,P＜0.05)and anger expression-out(AX-O)(β=0.25,P＜0.05).Children's anger cope(AC)played a mediating function to maternal AI through ODD symptoms,occupying 13％of the total effect;their AC and anger dysregulation(AD)played a mediating function to maternal AX-Othrough ODD symptoms,accounting for 29％and 18％of the total effect,respectively.Conclusion:It sug-gests that anger cope and anger dysregulation in children with oppositional defiant disordermay may play a media-ting role between maternal anger expression and oppositional defiant disorder symptoms.

ObjectiveTo investigate the current status of cognition and attitude towards hospice care among medical staff in Liaocheng，analyze the related influencing factors，and to provide reference for further development of hospice care services. MethodsUsing the method of convenient sampling，404 medical staff from all levels of hospitals in Liaocheng were selected as the research subjects from January to June 2022 to conduct a questionnaire survey on the cognition and attitude towards hospice care.Statistical methods were used to analyze the related influencing factors. ResultsThe knowledge score of hospice care among medical staff in Liaocheng was （13.02 ± 4.10），with an average score rate of 65.10%.The score of attitude was （38.67 ± 5.64），with an average score rate of 64.50%.Age （41~50 years old），having received education and training，treated or cared for patients in the middle and late stages，and understanding ethics and morality，as well as cultural customs were significantly positively correlated with knowledge scores.Age （> 50 years old），professional title （deputy senior professional title），position （medical treatment），and experience in treating or caring for patients in the middle and late stages were positively related to attitude scores. ConclusionThe cognition and attitude towards hospice care among medical staff in Liaocheng were at a moderate level.Strengthening the construction of a standardized hospice care system is helpful to improve the cognition and attitude level towards hospice care among medical staff.

A high performance liquid chromatography (HPLC) method utilizing correction factors was established for the quantitative detection of related substances in flumazenil. Separation was achieved using an Agilent Pursuit XRs C18 column (250 mm × 4.6 mm, 5 μm) with an isocratic elution of dilute phosphoric acid, methanol, and tetrahydrofuran as the mobile phases. Correction factors calculated from a standard curve method were applied to determine the impurity content. The quantification of impurities in flumazenil was conducted using both external standard and correction factor methods, followed by validation and comparison of the two. For the identification of degradation products, a forced degradation approach was employed to prepare a flumazenil degradation solution, and the resulting impurities were confirmed by LC-MS analysis. The separation of flumazenil and its impurities was found to be efficient. The limits of quantification for impurities A, B, D, and E were established at 0.169 9, 0.314 7, 0.143 9, and 0.270 8 ng, respectively, with the limits of detection at 0.055 8, 0.096 9, 0.048 8, and 0.089 0 ng. These impurities demonstrated a strong linear relationship across the concentration ranges of 0.034 9-7.847 0, 0.038 7-8.710 7, 0.034 6-7.794 1, and 0.032 4-7.292 8 µg·mL^-1, respectively (n = 7). The method achieved average recoveries between 98.25% and 99.42%, with an RSD of less than 2.0% (n = 9), indicating high accuracy. The external standard and correction factor methods were used to determine the related substances in flumazenil, and the results of the two methods were consistent. The established HPLC method is characterized by its high accuracy, sensitivity, and repeatability, and is suitable for determining related substances in flumazenil.

The adulteration and counterfeiting of herbal ingredients in medicinal and food homology (MFH) have a serious impact on the quality of herbal materials, thereby endangering human health. Compared to pharmaceutical drugs, health products derived from traditional Chinese medicine (TCM) are more easily accessible and closely integrated into consumers' daily life. However, the authentication of the authenticity of TCM ingredients in MFH has not received sufficient attention. The lack of clear standards emphasizes the necessity of conducting systematic research in this area. This study utilized DNA barcoding technology, combining ITS2, psbA-trnH, matK as universal barcode sequences, and DX, HH, JYH as specific barcode sequences, to identify the authenticity of commercial medicinal and food homology scented herbal teas. The aim was to investigate the authenticity of scented herbal tea products circulating in the market. The research results revealed that among 180 scented herbal tea samples, DNA barcodes were successfully obtained from 164 samples, while the remaining samples either lacked the target components or suffered severe DNA degradation, resulting in failed amplification. Combined with morphological identification studies, it was found that out of the 180 samples, 141 were authentic, accounting for 78.33% of the total samples, while 31 samples showed adulteration and 8 samples lacked the target components, accounting for 21.67% of the total samples. Additionally, water testing revealed that 5 samples of Carthamus tinctorius herbal tea exhibited the phenomenon of weight adulteration. This study exposed the presence of adulteration and weight adulteration in scented herbal tea products, highlighting the need for regulatory authorities to expedite the establishment of quality standards in scented herbal tea industry. These findings provide valuable insights for the rapid development of the scented herbal tea industry.

Objective In this study,we analyzed the transcriptome sequences of Kupffer cells exposed to simulated microgravity for 3 d and conducted biological experiments to determine how microgravity initiates apoptosis in Kupffer cells. Methods Rotary cell culture system was used to construct a simulated microgravity model.GO and KEGG analyses were conducted using the DAVID database.GSEA was performed using the R language.The STRING database was used to conduct PPI analysis.qPCR was used to measure the IL1B,TNFA,CASP3,CASP9,and BCL2L11 mRNA expressions.Western Blotting was performed to detect the level of proteins CASP3 and CASP 9.Flow cytometry was used to detect apoptosis and mitochondrial membrane cells.Transmission electron microscopy was used to detect changes in the ultrastructure of Kupffer cells. Results Transcriptome Sequencing indicated that simulated microgravity affected apoptosis and the inflammatory state of Kupffer cells.Simulated microgravity improved the CASP3,CASP9,and BCL2L11 expressions in Kupffer cells.Annexin-V/PI and JC-1 assays showed that simulated microgravity promoted apoptosis in Kupffer cells.Simulated microgravity causes M1 polarization in Kupffer cells. Conclusion Our study found that simulated microgravity facilitated the apoptosis of Kupffer cells through the mitochondrial pathway and activated Kupffer cells into M1 polarization,which can secrete TNFA to promote apoptosis.

Objective:To understand the symptoms of diarrhea of residents in Tianjin and their willingness to vaccinate, to provide reference for health education, prevention and control of infectious diarrhea.Methods:Cross-sectional study design was adopted. From September to December 2023, a questionnaire survey was conducted among some residents as subjects in Nankai District, Beichen District, Baodi District and Binhai Area of Tianjin by multistage stratified cluster random sampling,to collect information such as sociodemographic characteristics, diarrhea symptoms and vaccination intention. According to the formula n=[ u2απ (1 - π)]/ δ2, the estimated sample size was 3 458 cases. The logistic regression model was used to analyze the factors related to the willingness of the respondents to receive diarrhea vaccination. The software SPSS 24.0 was used for statistical analysis. Results:A total of 3 808 subjects were investigated, with the male-to-female ratio as 1∶1.11 (1 806∶2 002), the age was (42.48±21.59) years old, and the education level of middle school or below accounted for 50.84% (1 936/3 808). The incidence rate of diarrhea was 18.28% (696/3 808), and 48.84% (1 860/3 808) were willing to be vaccinated with diarrhea vaccine. The results of multivariate logistic regression analysis showed that the age was 15-59 years old and ≥60 years old (a OR=2.31, 95% CI:1.80-2.96; a OR=1.66, 95% CI:1.38-2.00), lived in Binhai Area (a OR=2.09, 95% CI:1.62-2.71), and those who knew that community health service centers can provide the vaccination (a OR=1.61,95% CI:1.34-1.92), those who walked from the address to the community health service center were less than 15 minutes (a OR=1.54, 95% CI:1.28-1.85), those who often travel or on business (a OR=1.36, 95% CI:1.07-1.73), and those who actively obtained health care information related to diarrhea prevention when going abroad (a OR=1.69,95% CI:1.43-1.98) were more willing to be vaccinated against diarrhea. Conclusions:The incidence of diarrhea symptoms of residents was slightly higher in Tianjin, but they were less willing to be vaccinated against diarrhea. People who often go outside and go abroad were more willing to be vaccinated against diarrhea. It is suggested that the popular science propaganda and health education of diarrhea vaccine should be effectively carried out by using network platform in community.

Purpose::To identify the risk factors for training-related lower extremity muscle injuries in young males by a non-invasive method of body composition analysis.Methods::A total of 282 healthy young male volunteers aged 18 -20 years participated in this cohort study. Injury location, degree, and injury rate were adjusted by a questionnaire based on the overuse injury assessment methods used in epidemiological studies of sports injuries. The occurrence of training injuries is monitored and diagnosed by physicians and treated accordingly. The body composition was measured using the BodyStat QuadScan 4000 multifrequency Bio-impedance system at 5, 50, 100 and 200 kHz to obtain 4 impedance values. The Shapiro-Wilk test was used to check whether the data conformed to a normal distribution. Data of normal distribution were shown as mean ± SD and analyzed by t-test, while those of non-normal distribution were shown as median (Q 1, Q 3) and analyzed by Wilcoxon rank sum test. The receiver operator characteristic curve and logistic regression analysis were performed to investigate risk factors for developing training-related lower extremity injuries and accuracy. Results::Among the 282 subjects, 78 (27.7%) developed training injuries. Lower extremity training injuries revealed the highest incidence, accounting for 23.4% (66 cases). These patients showed higher percentages of lean body mass ( p = 0.001), total body water (TBW, p=0.006), extracellular water ( p=0.020) and intracellular water ( p=0.010) as well as a larger ratio of basal metabolic rate/total weight ( p=0.006), compared with those without lower extremity muscle injuries. On the contrary, the percentage of body fat ( p=0.001) and body fat mass index ( p=0.002) were lower. Logistic regression analysis showed that TBW percentage > 65.35% ( p=0.050, odds ratio =3.114) and 3rd space water > 0.95% ( p=0.045, odds ratio =2.342) were independent risk factors for lower extremity muscle injuries. Conclusion::TBW percentage and 3rd space water measured with bio-impedance method are potential risk factors for predicting the incidence of lower extremity muscle injuries in young males following training.

Nanomaterial matrices have unique advantages in small molecule analysis by matrix-assisted laser desorption ionization mass spectrometry(MALDI-MS).On the basis of comparing different surfactants,a method for pre-coating nanocarbon sodium dodecyl sulfate(SDS)composite matrix was established,which could alleviate the issue of aggregation of nanocarbon particles as a matrix.The experimental results showed that the nanocarbon-SDS composite pre-coated matrix effectively suppressed the background ion peak of the nano matrix,significantly improved the MS peak intensity and signal-to-noise ratio of the tested substance.Under the optimal conditions,cholesterol,1,2-dipalmitoyl-sn-glyceryl-3-phosphorylcholine(DPPC),and triglyceride standards were analyzed,with intra-point repeatability(RSD)of MS peak intensity≤5%and inter-point repeatability≤7%.As to measurement of cyclic adenosine monophosphate and DPPC samples in the range of 0.05?1.0 mg/mL,linear correlation coefficient(R2)between peak intensity and concentration was greater than 0.993,indicating good quantitative analysis potential.The nanocarbon-SDS composite pre-coating matrix was used for MALDI-MS imaging of pig brain tissue,and the differences in component distribution between pig brain white matter and gray matter were observed,demonstrating the potential of nanocarbon-SDS composite pre-coating matrix for MALDI-MS imaging.