Objective: To explore the value of contrast-enhanced computed tomography (CT) radiomics combined with machine learning algorithms in the preoperative prediction of perineural invasion (PNI) in oral squamous cell carcinoma (OSCC), aiming to provide evidence for assisting clinical treatment decision-making. Methods​: This study was approved by the Ethics Committee of the Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine. A total of 250 OSCC patients confirmed by postoperative pathology were included, comprising 128 PNI-positive and 122 PNI-negative cases. The dataset was randomly divided into training (n=175), validation (n=38), and independent testing (n=37) sets in a ratio of 7:1.5:1.5. Regions of interest were delineated on preoperative images, and radiomic features were extracted. After dimensionality reduction and feature selection using methods like Least Absolute Shrinkage and Selection Operator (LASSO) regression, multiple machine learning models, including support vector machine (SVM), random forest, Light gradient boosting machine (LightGBM), and a Stacking ensemble model, were constructed. Model performance was evaluated using metrics such as the area under the receiver operating characteristic curve (AUC), sensitivity, calibration curves, and decision curve analysis (DCA). Model interpretability was analyzed using Shapley additive explanations (SHAP) and grouped permutation feature importance analysis. Results ​: ​ Among the 250 samples analyzed, the LightGBM model based on radiomics demonstrated the best performance on the independent test set, with an AUC of 0.781, outperforming models like SVM (AUC = 0.730) and Random Forest (AUC = 0.691), as well as clinical models (AUCs ranging 0.549-0.711). The LightGBM model showed good calibration (Brier score 0.198), and DCA indicated high clinical net benefit over a wide threshold probability range. Paired DeLong tests revealed no statistically significant differences in AUC between the ensemble (Stacking) model and the corresponding best-performing radiomics-based model. SHAP analysis and grouped permutation feature importance analysis further indicated that the primary discriminative information for the model came from radiomic texture features. Conclusion ​ The LightGBM model based on contrast-enhanced CT radiomics demonstrated good discriminative ability for preoperative prediction of PNI in OSCC. In the independent test set, it achieved the highest AUC. This model holds promise as a non-invasive auxiliary tool for preoperative risk assessment. Given the limited sample size of the independent test set, these results require further validation in larger cohorts and external datasets.

ObjectiveCell adhesion is a critical process that regulates cellular physiological functions. Quantitative characterization of adhesion dynamics is essential for elucidating the intrinsic mechanical mechanisms underlying cellular activities. Although atomic force microscopy-based single-cell force spectroscopy is widely used for single-cell adhesion measurements, it requires complex chemical modifications for preparation of live-cell probes, leading to limitations such as cumbersome operation, low throughput, and potential impacts on cell viability. Fluidic force microscopy, which combines atomic force microscopy with microfluidic probes, is a technique allowing the operation of force-controlled nanopipettes in aqueous environments. By applying negative or positive pressure via a pressure controller, a single living cell can be captured onto or released from the cantilever under physiological conditions. This procedure offers a simple workflow and high assay throughput for single-cell adhesion measurements without the need for chemical functionalization. In this study, fluidic force microscopy-based single-cell force spectroscopy was adopted to achieve long-term quantitative characterization of single-cell adhesion dynamics in a simpler and more efficient manner, comparing the dynamic differences in adhesion establishment between two cell lines with different differentiation levels. MethodsHEK 293T and hTERT RPE-1 cells were non-invasively captured on the cantilever of a fluidic force microscope via its integrated microfluidic system during 40 h of adhesion culture. Cell-substrate detachment assays were performed, and force-distance curves were recorded to extract key mechanical adhesion parameters, including adhesion force, adhesion energy, and maximum detachment distance. These measurements were combined with real-time monitoring of cell spreading area to systematically characterize the dynamic evolution of single-cell adhesion. ResultshTERT RPE-1 cells rapidly entered a stable adhesion phase within 1 h after seeding, with both area-normalized adhesion force and area-normalized adhesion energy reaching peak values. In contrast, HEK 293T cells required 4 h to achieve stable adhesion. Subsequently, the adhesion force, adhesion energy and maximum detachment distance of hTERT RPE-1 and HEK 293T cells stabilized at approximately 240 nN vs. 30 nN, 2.2 pJ vs. 0.12 pJ and 6 μm vs. 4 μm, respectively. hTERT RPE-1 cells reached the peak of area-normalized adhesion parameters earlier than HEK 293T cells, with their peak area-normalized adhesion force and area-normalized adhesion energy being substantially elevated relative to HEK 293T cells. HEK 293T cells presented stronger linear correlations among adhesion energy, maximum detachment distance and adhesion force compared with hTERT RPE-1 cells. For both cell lines, cell spreading area exhibited a weak correlation with adhesion force. Whereas the area-normalized adhesion parameters of HEK 293T cells remained relatively constant throughout the adhesion process, hTERT RPE-1 cells exhibited elevated values in the early phase, followed by a gradual decline. These results indicated distinct dynamic adhesion patterns between the two cell types, with hTERT RPE-1 cells exhibiting stronger adhesion strength and higher adhesion efficiency. ConclusionIn this study, fluidic force microscopy-based single-cell force spectroscopy was successfully applied to perform long-term in situ quantitative measurement of the adhesion dynamics in single adherent cells. The approach revealed divergent adhesion patterns between HEK 293T and hTERT RPE-1 cells, suggesting a close association between cell differentiation and adhesion behaviors. These findings provide quantitative mechanical evidence for further understanding the underlying mechanisms of cell adhesion.

OBJECTIVE To investigate the current status of informatization tools applied to antimicrobial stewardship in county hospitals in China， and to provide a reference for promoting the informatization development of antimicrobial stewardship in county hospitals.METHODS From August to September 2025， an online questionnaire survey was conducted among 1 007 county hospitals across 31 provinces（autonomous regions， and municipalities） in China. The survey focused on the application of four types of informatization tools：the real-time monitoring system for antimicrobial use， the pre-prescription review system， the irrational use warning system， and the electronic prescription evaluation system（hereinafter referred to as the “monitoring system”“review system”“warning system”“evaluation system”，respectively）. Correlation analysis and binary Logistic regression analysis were employed to explore the influencing factors.RESULTS Of the county hospitals， 80.83% were equipped with at least one type of informatization tool for antimicrobial stewardship， while 19.17% had no relevant tool. Only 18.87% of the hospitals were equipped with all four types of tools. The monitoring system exhibited the highest equipped rate （70.80%）， whereas the warning system was equipped in only 33.96% of the hospitals. Four types of tools are evenly and adequately deployed in the eastern region， the central and western regions have far lower deployment rates of intervention tools including review system and warning system， accompanied by prominent intra-provincial gaps. The total number of the health technicians， hospital grade， and prescription review rate of outpatient antibacterial drug were significantly and positively correlated with the deployment rates of the four informatization tools （ P ＜0.05）. The results of the Logistic regression model fitting indicated that the model of the review system was rated “excellent” [area under the receiver operating characteristic curve （AUC）＝0.81]， and the model of the warning system was rated “further improvement” （AUC＝0.67）. The total number of health technicians was significantly positively correlated with the deployment rates of all four types of informatization tools （all P ＜0.05）.CONCLUSIONS The informatization of antimicrobial stewardship in county hospitals in China remains in the initial stage of transitioning from “passive statistics” to “active prevention and control”， with challenges such as structural imbalance and regional disparities. In the future， differentiated support strategies should be implemented， the allocation of resources should be optimized， to enhance the level of refined antimicrobial stewardship.

The blue fluorescent carbon dots(TMCDs)and cyan fluorescent carbon dots(TMCDs-H2O)were synthesized fromm-phenylenediamine and tricarballylic acid through air-assisted melting polymerization and one-step hydrothermal method,respectively.Air purging could effectively inhibit the side reactions and reduce the derivative structures in the carbon dots product.The structure and morphology of these two materials were systematically characterized using liquid nuclear magnetic resonance spectroscopy(NMR),mass spectrometry(MS),and transmission electron microscopy.Compared to TMCDs-H2O((3.12±0.63)nm),TMCDs showed a smaller average particle size(approximately(1.85±0.02)nm).The NMR and MS analysis revealed that although the main structure of both types of carbon dots was similar,TMCDs exhibited a simpler structure with higher degree of polymerization.These results suggested that supramolecular interactions might introduce numerous small molecule derivatives into TMCDs-H2O particles,resulting in lower polymerization degree,multiple substructures,and larger particle size characteristics for this material.When employed as chemical sensors for metal ion detection,in the linear range of 1×10-5-5×10-4 mol/L,the detection limits of Fe3+by TMCDs and TMCDs-H2O were 3.3×10-6 mol/L and 3.8×10-6 mol/L,respectively.The experimental results demonstrated that the recoveries of CDs and inductively coupled plasma optical emission spectrometer(ICP-OES)were similarity,whereas TMCDs displayed a considerable relative standard deviation.This study demonstrated that endogenously derived structures in CDs could enhance the performance of metal ion sensing.

A matrix-assisted laser desorption ionization time-of-flight mass spectrometry(MALDI-TOF MS)method was developed for simultaneous analysis of 10 kinds of aphrodisiac drugs,including sildenafil,acetildenafil,nor-acetildenafil,homosildenafil,lodenafil carbonate,sildlenafil dimer impurity,vardenafil dimer,hydroxyacetildenafil,N-desmethylsildenafil and udenafil.By using different matrices(α-cyano-4-hydroxycinnamic acid(HCCA)and sinapic acid(SA)),the effects of solvents,amount of matrices,laser intensity and spotting methods on the peak strength and signal intensity of MALDI-TOF MS for the aphrodisiac drugs were investigated.As a result,SA was chosen as the matrix,and then dispersed in methanol-water(50∶50,V/V),and spotted by matrix firstly and sample secondly approach with the reflect linear positive mode and laser power of 60%.Under optimal conditions,the proposed MALDI-TOF MS method could obtain stable signal,high intensity and well-repeated mass spectrometric results.The results of method validation showed a linear range from 10 to 100 ng/mL,and the regression coefficients(r)were all above 0.985.The limits of detection(LOD)were 0.1-1.0 ng/mL,and the recoveries were in the range of 72.9%-109.9%for health wine,soft capsule and instant coffee samples,while the relative standard deviations(RSDs)ranged from 0.7%to 11.3%(n=3).The test results of 10 kinds of aphrodisiac drugs by MALDI-TOF MS were in accordance with the results of high-performance liquid chromatography-tandem mass spectrometry.This method exhibited high sensitivity,high accuracy,good anti-interference ability,low chemical solvents consumption and environmentally friendliness,and could be used to detect drugs without standards.The developed MALDI-TOF MS method could realize the non-target screening and detection of 10 kinds of illegally added aphrodisiac drugs in foods.

Widespread utilization of glyphosate has led to environmental residues,posing potential threats to ecological systems and human health.Traditional methods for detection of glyphosate are limited by specialized equipment and operational techniques,resulting in inefficient responses.Therefore,it is urgent to develop a convenient,sensitive and accurate detection method for detection of glyphosate.Herein,a new naphthalenesulfonamide-based"Turn-on"fluorescent probe was synthesized using 2-chloroaniline and dansyl chloride as raw materials through a one-step process,which showed a good linear relationship between the glyphosate concentration in concentration range of 0.003-70 μmol/L and the fluorescence intensity(R2=0.995),with a detection limit of 2.73 nmol/L(S/N=3).Analytical techniques such as nuclear magnetic resonance(NMR)spectroscopy and high-resolution mass spectrometry(HRMS)were used to investigate the interaction mechanism between the fluorescent probe and glyphosate.The results indicated that a nucleophilic substitution reaction occurred between the probe and the secondary amine(—NH—)of glyphosate,inducing a photoinduced electron transfer(PET)effect which enhanced the fluorescence intensity by 11.2 times.The probe showed good anti-interference ability towards coexisting metal ions,anions and pesticides in water.When applied to determination of glyphosate in the samples such as tap water,river water(Xiangxi River Reservoir),soil,soybeans,and corn,the spiking recoveries ranged from 94.7％to 109.9％,demonstrating the high accuracy and broad applicability of this detection method.A portable test strip based on this fluorescent probe was developed for rapid semi-quantitative analysis of glyphosate.The developed method was rapid,sensitive,and portable,providing theoretical and technical support for on-site measurement of environmental contaminants.

Objective To investigate the genetic differences among different populations based on 13 autosomal STR loci in CODIS core.Methods Data of 13 autosomal STR loci(CSF1PO,FGA,THO1,TPOX,vWA,D3S1358,D5S818,D7S820,D8S1179,D13S317,D16S539,D18S51,D21S11)were collected from 95 populations in scientific journals between 1999 and 2021,soursed from the PubMed database,which had been published.Allele frequencies of loci were sorted out and forensic genetic parameters including gene differentiation coefficient(Gst),total heterozygosity(Ht),subpopula-tion heterozygosity(Hs)values,and Nei's DA genetic distance were calculated.Principal component analysis,phylogenetic tree,and multidimensional scale analysis were conducted to assess population ge-netic structure.Results A total of 265 alleles were detected at the 13 STR loci in these 95 popula-tions.The mean values of Gst,Ht,and Hs were 0.023 247,0.797 915 and 0.779 365.Population genetic analyses reflected significant differences among populations from Asia,Africa and Europe.In Asian populations,there was a certain degree of distinction between mainland and island populations;the Han population showed a certain degree of distinction with surrounding populations in mainland;while within the Han population,there were two distinct clusters formed by the northern Han and the south-ern Han.Conclusion The 13 autosomal STR loci in CODIS core demonstrate potential value for popu-lation identification across different groups,and may be used for the differentiation of ethnic groups,among different continental populations.

Objective To explore the value of the time to positivity(TTP)combined with inflammatory indicators for identifying coagulase-negative Staphylococcus(CoNS)bloodstream infection and contamination in tumor patients.Methods A retrospective analysis was performed on totally 368 tumor patients with blood culture-positive admitted to the hospital from September 2022 to April 2023,and 47 patients with blood cul-ture-positive CoNS and complete clinical data were selected as research objects.The patients were divided into CoNS infection group(24 cases)and CoNS contamination group(23 cases)according to the diagnostic criteria of bloodstream infection and in combination with the clinical manifestations and laboratory examination re-sults.In addition,5 tumor patients with blood culture Staphylococcus aureus positive admitted to the hospital during the same period were selected as the control group.The TTP,percentage of immature granulocytes(IG%),absolute value of immature granulocytes(IG#),white blood cell count(WBC),neutrophil percent-age(NE%),neutrophil-to-lymphocyte ratio(NLR),C-reactive protein(CRP)and procalcitonin(PCT)levels in all groups were compared.Results Among the 47 patient isolates of CoNS from blood cultures,Staphylo-coccus hominis was the most common,accounting for 42.55%.There were significant differences in TTP,NE%,NLR and CRP levels between CoNS infection group,CoNS contamination group and control group(P<0.05).The TTP in CoNS infection group was shorter than that in CoNS contamination group,and the levels of NE%,NLR,CRP and PCT were higher than those in CoNS contamination group,with statistical sig-nificance(P<0.05).TTP combined with NLR,CRP and PCT had the largest area under the curve,which was 0.971(P<0.000 1),with a sensitivity of 91.67%,specificity of 95.65%,likelihood ratio of 21.08,positive predictive value of 91.67%,negative predictive value of 95.65%,and an accuracy of 93.62%.Conclusion TTP combined with NLR,CRP and PCT have important clinical value in the differential diagnosis of CoNS blood-stream infection and contamination in tumor patients.

Objective The aim of this study was to explore the acceptance and influencing factors of self-collected urine samples for human papillomavirus(HPV)testing in cervical cancer screening among eligible women,and to provide scientific evidence for promoting this testing in low resource areas.Methods A population-based cross-sectional study was conducted from 2022 to 2023 at the Maternal and Child Health Hospital in Shuangliu district,Chengdu City Sichuan Province.The study subjects were women aged 21 to 69 years old,and a customized questionnaire was used to conduct general information and acceptance surveys on the partic-ipants.Results A total of 2,062 women were included,with an average age of 51.58±9.34 years.Among them,1,501(72.79％)women believed that self-sampling urine was very easy.However,although 1,333(64.65％)women were still willing to accept doctor sampling as a cervical cancer screening method,only 729(35.35％)were more willing to accept self-sampling urine HPV testing.Age,educational level,annual household income,awareness of HPV,HPV vaccination status,and a sense of shame about the doctor's sampling process were all associated with the acceptance of self-collected urine HPV testing among women undergoing cervical cancer screening(P＜0.001).The results of multivariate logistic regression analysis indicated that older women(OR=0.965,95％CI:0.951-0.979)and those who were not familiar with HPV(OR=0.760,95％CI:0.602-0.961)were more likely to undergo self sampling urine HPV testing,while those with junior high school education(OR=1.330,95％CI:1.053-1.682),high school education or a-bove(OR=1.990,95％CI:1.401-2.827),and a sense of shame towards the doctor's sampling process(OR=2.314,95％CI:1.706-3.142)were more likely to undergo self sampling urine for HPV testing.Conclusions Most women believe that self sampling urine for HPV testing is very easy,but compared to doctor sampling,only some women choose to self sample urine for HPV testing.Key health education interventions should be carried out for older and lower educated populations to promote acceptance of urine HPV testing.

The biosensors based on clustered regularly interspaced short palindromic repeats(CRISPR)were introduced in terms of detection strategies and advantages.The current situation of the CRISPR-based biosensors was reviewed when applied to detecting non-nucleic acid targets such as proteins,exosomes,small molecules,enzymes,hormones and antibodies.The deficiencies of the CRISPR-based biosensors were analyzed during the application,and the future development directions were envisioned.