Background With the progression of industrialization, an increasing number of emerging contaminants are entering aquatic environments, posing significant threats to the safety of drinking water. Therefore, establishing a system for identifying unknown hazardous factors and implementing safety warning mechanisms for drinking water is of paramount importance. Among these efforts, non-target screening plays a critical role, but its effectiveness is largely constrained by the scope of coverage of sample pre-treatment methods. Objective To integrate modern chromatography/mass spectrometry techniques with advanced data mining methods to develop a non-discriminatory sample pre-treatment method for comprehensive enrichment of unknown contaminants in drinking water, laying a technical foundation for the discovery and identification of unknown organic hazardous factors in drinking water. Methods A non-discriminatory pre-treatment method based on supramolecular and solid-phase extraction was developed. The final target compounds including 333 pesticides, 194 pharmaceuticals and personal care products (PPCPs), and 59 per- and polyfluoroalkyl substances (PFASs) were used for optimizing the pre-treatment method, confirming its coverage. The impacts of different eluents on the absolute recovery rates of target compounds were compared to select the conditions with the highest recovery for sample pre-treatment. The effects of different supramolecular solvents and salt concentrations on target compound recovery were also evaluated to determine the most suitable solvent and salt concentration. Results The solid-phase extraction elution solvents, supramolecular extraction solvents, and salt concentrations were optimized based on the target compound recovery rates. The optimal recovery conditions were achieved using 2 mL methanol, 2 mL methanol (containing 1% formic acid), 2 mL ethyl acetate, 2 mL dichloromethane, hexanediol supramolecular solvent, and 426 mg salt. The detection method developed based on these conditions showed a good linear relationship for all target compounds in the range of 0.1-100.0 ng·mL⁻¹, with R² > 0.99. The method’s limit of detection ranged from 0.01 ng⁻¹ to 0.95 ng⁻¹, and 95% of target compounds were recovered in the range of 20%-120%, with relative standard deviation (RSD) less than 30%, indicating good precision. Conclusion The combined pre-treatment method of solid-phase extraction and supramolecular solvent extraction can effectively enrich contaminants in drinking water across low, medium, and high polarities, enabling broad-spectrum enrichment of diverse trace contaminants in drinking water. It provides technical support for broad-spectrum, high-throughput screening and identification of organic pollutants in drinking water, and also serves as a reference for establishing urban drinking water public safety warning systems.

Objective:To develop the Motivation for Bedtime Procrastination Questionnaire for College Students(CS-MBPQ)and evaluate its validity and reliability.Methods:Based on literature analysis,interviews with severe bedtime procrastinators,and open-ended surveys with college students,the initial questionnaire was formed.A total of 389 college students were recruited to conduct item analysis and exploratory factor analysis.Additionally,691 college students were selected for confirmatory factor analysis,criterion validity testing,and internal consistency reliability analysis,and 132 of them were retested two weeks later.The subscale of behav-ioral intention from the Theory of Planned Behavior Questionnaire(TPBQ),Bedtime Procrastination Scale(BPS),and a self-made question for the frequency of bedtime procrastination were used as criterion tools.Results:The CS-MBPQ consists of 10 items,encompassing three factors:emotional need,external influence,and behavioral attitude,explaining 63.31％of the variance.Confirmatory factor analysis indicated that the three-factor structure model of CS-MBPQ fitted well(x2/df=4.90,RMSEA=0.07,CFI=0.96,TLI=0.94).The CS-MBPQ total scores and scores for each factor were positively associated with the score of intentions to sleep on time,BPS scores,and bed-time procrastination frequency(ICC=0.14-0.53,Ps＜0.05).The internal consistency reliabilities for CS-MBPQ and the three factors were 0.87,0.89,0.74,and 0.66,respectively,and the test-retest reliabilities(ICC)were 0.74,0.66,0.69,and 0.58,respectively.Conclusion:The Motivation for Bedtime Procrastination Questionnaire for College Students(CS-MBPQ)demonstrates good validity and reliability,which could be used as a tool to evaluate motivations for bedtime procrastination among Chinese college students.

Objective To explore the clinical application value of CT radiomics in predicting the grade of liver cancer and the prognosis after hepatectomy.Methods A retrospective selection was conducted on 385 liver cancer patients who underwent preoperative CT scans,and they were divided into training group(265 cases)and testing group(120 cases).The CT radiomics features were extracted and logistic regression was used to construct radiomics markers.A retrospective analysis was performed on 60 patients with liver cancer who underwent hepatectomy and regular follow-up.Results The area under the curve(AUC)of the radiomics signature in the train-ing group was 0.889.The AUC in the testing group was 0.941.For predicting prognosis after hepatectomy,the radiomics features with filter parameter of Filter 1.0 achieved optimal performance,with Dif.Scale1.2 being a good independent predictor of overall survival(OS).Conclusion CT radiomics has certain application value in predicting the grade of liver cancer and the prognosis after hepatectomy.

BACKGROUND:Cervical spondylosis is a chronic degenerative disease that has become one of the most common and frequent diseases threatening human health.At present,the initial diagnosis of the cervical spine and its surrounding structures mainly relies on the interpretation of medical images by radiologists,which not only requires a high level of technical requirements for operators,but also has the disadvantages of strong subjectivity,high labor intensity,and low efficiency.With the rapid development of artificial intelligence technology,its powerful data processing and image recognition capabilities have shown broad application prospects in the medical field.Deep learning has also made certain progress in the research of spinal diseases.OBJECTIVE:To summarize the current status and research progress in the application of artificial intelligence technology in cervical spine imaging images in recent years,evaluating the performance of artificial intelligence models as well as future trends and challenges to be overcome.METHODS:The first author searched the relevant articles in WanFang,CNKI,and PubMed in June 2024.The Chinese search terms were"artificial intelligence,deep learning,cervical spine."English serach terms were"artificial intelligence,Al,cervical vertebrae,cervical."Finally,101 articles were included and analyzed.RESULTS AND CONCLUSION:(1)Artificial intelligence technology can realize automatic segmentation of cervical vertebrae and measurement of curvature change by segmentation,classification,landmarks recognition of medical image parts,detect cervical vertebral fracture,nerve root,and spinal cord type cervical spondylosis,identify cervical spine ossification of posterior longitudinal ligament,and predict post-surgery related risk factors and cervical vertebra maturation classification.(2)Although artificial intelligence technology has shown great potential in the field of cervical spine research,it is still in the early stages of exploration and rapid development,with unlimited room for development and innovation.

Nanchang University and Queen Mary University of London have integrated their educational and teaching advantageous resources to establish a Sino-foreign cooperative clinical medicine program in China. The program awards the degrees of Bachelor of Science in Biomedical Sciences and Bachelor of Clinical Medicine, aiming to cultivate well-rounded medical talents with both clinical and scientific research capabilities and an international perspective. By introducing biomedical courses and integrating them with basic medical courses, the program emphasizes basic knowledge, practical training, active learning, and the cultivation of scientific research skills and critical thinking ability. The evaluation parameters include academic output, innovation competitions, and the number of students pursuing graduate education. The results showed substantial increases in the number of SCI academic articles published by students in this program, the number of awards in innovation competitions, and the number of students pursuing graduate education. This program is a new attempt in the reform of medical education in China.

OBJECTIVE To understand the drug resistance genes,virulence genes and molecular epidemiological characteristics of extensively drug-resistant hypervirulent Klebsiella pneumoniae(XDR-hvKP)strains causing hospital-associated infection.METHODS The clinical isolates of XDR-hvKP were collected from Tongling People's Hospital from Jul.2020 to Dec.2022.The strains were identified by matrix-assisted laser desorption ionization-time-of-flight(MALDI-TOF)mass spectrometry,the common drug resistance genes and virulence genes were an-alyzed by Sanger sequencing,the capsular serotypes were determined by wzi gene sequencing;the drug resistance genes,virulence genes and ST subtypes were observed by means of whole-genome sequencing(WGS)technique.RESULTS Totally 18 strains of XDR-hvKP were collected,55.56％(10/18)of which were isolated from blood specimens,and 61.11％(11/18)were isolated from critical care medicine department.Sanger sequen-cing analysis showed that all of the strains carried blaKPC-2 drug resistance gene;rmpA2(100.00％)and rmpA,i-roN,iutA(94.44％,17/18)were the major virulence genes carried by the strains.WGS analysis indicated that all of the 18 XDR-hvKP isolates carried multiple drug resistance genes such as blaKPC-2 carbapenemase and the viru-lence genes like capsule(rmpA/rmpA2),aerobacterin(iucABCD-iutA),Salmonella(iroN)and yersinin(ybt).All of the ST subtypes were ST 11,and all of the capsular serotypes were KL 64.CONCLUSIONS The ST11-KL64 type XDR-hvKP strains carry blaKPC-2;rmpA,rmpA2,iroN and iutA are the major virulence genes.It is necessary to strengthen the monitoring of key population of the key departments and make joint efforts of multiple departments to contain the transmission of the strains.

Objective To compare the efficacy of controlling pediatric myopia progression between defocus incorpo-rated multiple segments(DIMS)spectacle lenses combined with low-concentration atropine(0.1 g·L-1)(DIMSA)and orthokeratology(OK)lenses.Methods A prospective cohort study was conducted on myopic children treated at the De-partment of Ophthalmology,Children's Hospital of Nanjing Medical University between January 2022 and February 2023.Participants were divided into a DIMSA group(88 cases)and an OK lens group(73 cases).Only right eye data were in-cluded for statistical analysis,and the children were followed up for 1 year.The axial length(AL)and spherical equivalent refraction(SER)were measured for the DIMSA group while only AL was measured for the OK lens group at baseline and each follow-up visit.The AL regression rate[(AL regression rate=the number of AL regression cases/total cases in the group)× 100％]and axial elongation(AE)were calculated to compare the myopia control efficacy between the two groups.Results The baseline age of the OK lens group was significantly larger than that of the DIMSA group(P=0.001).The AE value in the DIMSA group was significantly smaller than that in the OK lens group after following up for 6 months,following up for 1 year,and adjusting for baseline age(all P＜0.05).Multiple linear regression analysis revealed that baseline age was the only factor influencing the AE value[OK lens group:unstandardized β=-0.024,standardizedβ=-0.266(P=0.022);DIMSA group:unstandardized β=-0.052,standardized β=-0.487(P＜0.001)].There was a negative correlation between AE and baseline age(OK lens group:r=-0.30,P＜0.001;DIMSA group:r=-0.42,P＜0.001).In the DIMSA group,baseline age was positively correlated with SER progression(r=0.28,P=0.001 5).After following up for 1 year,the proportions of children with different AE velocities differed significantly between the two groups(x2=11.09,P=0.004).AE was controlled better in the DIMSA group than that in the OK lens group.AL regression rates in the DIMSA group were significantly higher than those in the OK lens group after 6 months and 1 year of follow-up(all P＜0.05).No severe ocular adverse events occurred in either group.Conclusion DIMSA demonstrates superior effi-cacy over OK lenses in controlling myopia progression in children with mild-to-moderate myopia.Ophthalmologists should tailor myopia control strategies based on individual needs and characteristics.

Background and Aims:Papillary thyroid carcinoma(PTC)is the most common endocrine malignancy in China,with cervical lymph node metastasis being a frequent and critical clinical feature that directly affects patient prognosis and recurrence risk.In recent years,with the rapid increase in the prevalence of overweight and obesity in China,the role of body mass index(BMI)in various tumors has attracted growing attention.This study aimed to investigate the association between overweight and cervical LNM in PTC,analyze sex-specific differences and influencing factors,and provide evidence for precise clinical management.Methods:A retrospective analysis was conducted on the clinicopathologic data of 1 445 patients with classical PTC treated at Xiangya Hospital of Central South University between August 2021 and June 2022.Patients were divided into groups based on the presence or absence of lymph node metastasis.Restricted cubic spline analysis explored the nonlinear relationship between BMI and lymph node metastasis risk.Univariate and multivariate Logistic regression analyses were applied to identify independent risk factors.Furthermore,sex-stratified analysis was performed among overweight patients(BMI≥24 kg/m2)to determine sex-specific risk factors for lymph node metastasis.Results:Among all patients,716(49.6%)had lymph node metastasis.Univariate analysis showed that BMI,sex,age,tumor diameter,multifocality,and extrathyroidal extension were significantly associated with cervical lymph node metastasis in PTC patients(all P<0.05).A nonlinear positive correlation was observed between BMI and lymph node metastasis risk,which was more pronounced in male patients.Additionally,BMI was positively correlated with triglyceride levels and negatively correlated with high-density lipoprotein cholesterol.Sex-stratified analysis revealed that in overweight male patients,younger age(OR=0.954),larger tumor diameter(OR=1.085),and multifocality(OR=2.776)were independent risk factors for LNM;in overweight female patients,younger age(OR=0.943)and larger tumor diameter(OR=1.074)were the main influencing factors.Conclusion:Overweight is closely associated with cervical lymph node metastasis in PTC,and the high-risk factors for LNM differ between male and female overweight patients.Young age,larger tumor size,and multifocality in overweight males,and young age and larger tumors in overweight females indicate a higher risk of metastasis.It is recommended that high-risk populations receive enhanced preoperative evaluation and individualized lymph node dissection strategies to achieve precise treatment and improved risk control.

ObjectiveTo investigate the mechanisms by which the combination of berberine （BBR） and baicalin （BAI） ameliorates type 2 diabetes mellitus （T2DM） due to internal accumulation of dampness-heat from the perspectives of gut microbiota and metabolomics. MethodsAntibiotics were used to induce pseudo-sterile mice. Thirty pseudo-sterile mice were randomized into a normal fecal microbiota transplantation group （n=10） and a T2DM （syndrome of internal accumulation of dampness-heat） fecal microbiota transplantation group （n=20）. The mice were then administrated with suspensions of fecal microbiota from healthy volunteers and a patient with T2DM due to internal accumulation of dampness-heat by gavage， respectively. Each mouse received 200 µL suspension every other day for a total of 15 times to reshape the gut microbiota. The T2DM model mice were then assigned into a model group （n=8） and a BBR-BAI group （n=11）. BBR was administrated at a dose of 200 mg·kg^-1， and BAI was administrated in a ratio of BBR-BAI 10∶1 based on preliminary research findings. The administration lasted for 8 consecutive weeks. Fasting blood glucose （FBG）， glycated hemoglobin （HbA1c）， insulin （INS）， triglycerides （TG）， total cholesterol （CHOL）， low-density lipoprotein cholesterol （LDL-C）， high-density lipoprotein cholesterol （HDL-C）， aspartate aminotransferase （AST）， and alanine aminotransferase （ALT） levels were measured to evaluate the effects of the BBR-BAI combination on glucose and lipid metabolism and liver function in T2DM mice. Hematoxylin-eosin staining was employed to observe pathological changes in the colon tissue. The expression of claudin-1， zonula occludens-1 （ZO-1）， and occludin in the colon tissue was determined by Western blot. Real-time quantitative polymerase chain reaction（Real-time PCR） was employed to assess the levels of tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， and interleukin-6 （IL-6） in the colon tissue. The fecal microbiota composition and differential metabolites were analyzed by 16S rRNA sequencing and ultra-high performance liquid chromatography-quadrupole-time of flight tandem mass spectrometry （UPLC-Q-TOF-MS）， respectively. ResultsThe BBR-BAI combination lowered the FBG， HbA1c， and INS levels （P<0.05， P<0.01） and alleviated insulin resistance （P<0.01） in T2DM mice. Additionally， BBR-BAI elevated the levels of ZO-1， occludin， and claudin-1 （P<0.05， P<0.01） and down-regulated the expression levels of TNF-α， IL-1β， and IL-6 in the colon （P<0.05， P<0.01）. The results of 16S rRNA sequencing showed that BBR-BAI increased the relative abundance of Ligilactobacillus， Phascolarctobacterium， and Akkermansia （P<0.05）， while significantly decreasing the relative abundance of Alistipes， Odoribacter， and Colidextribacter （P<0.05）. UPLC-Q-TOF-MS identified 28 differential metabolites， which were primarily involved in arachidonic acid metabolism and α-linolenic acid metabolism. ConclusionBBR-BAI can ameliorate T2DM due to internal accumulation of dampness-heat by modulating the relative abundance of various bacterial genera in the gut microbiota and the expression of fecal metabolites.

BACKGROUND:Flap transplantation technique is a commonly used surgical procedure for the treatment of severe tissue defects,but postoperative flap necrosis is easily triggered by ischemia-reperfusion injury.Therefore,it is still an important research topic to improve the survival rate of transplanted flaps. OBJECTIVE:To review the pathogenesis and latest treatment progress of flap ischemia-reperfusion injury. METHODS:CNKI,WanFang Database and PubMed database were searched for relevant literature published from 2014 to 2024.The search terms used were"flap,ischemia-reperfusion injury,inflammatory response,oxidative stress,Ca2+overload,apoptosis,mesenchymal stem cells,platelet-rich plasma,signaling pathways,shock wave,pretreatment"in Chinese and English.After elimination of irrelevant literature,poor quality and obsolete literature,77 documents were finally included for review. RESULTS AND CONCLUSION:Flap ischemia/reperfusion injury may be related to pathological factors such as inflammatory response,oxidative stress response,Ca2+overload,and apoptosis,which can cause apoptosis of vascular endothelial cells,vascular damage and microcirculation disorders in the flap,and eventually lead to flap necrosis.Studies have found that mesenchymal stem cell transplantation,platelet-rich plasma,signaling pathway modulators,shock waves,and pretreatment can alleviate flap ischemia/reperfusion injuries from different aspects and to varying degrees,and reduce the necrosis rate and necrosis area of the grafted flap.Although there are many therapeutic methods for skin flap ischemia/reperfusion injury,a unified and effective therapeutic method has not yet been developed in the clinic,and the advantages and disadvantages of various therapeutic methods have not yet been compared.Most of the studies remain in the stage of animal experiments,rarely involving clinical observations.Therefore,a lot of research is required in the future to gradually move from animal experiments to the clinic in order to better serve the clinic.