OBJECTIVE To investigate the current status of monitoring indicators related to the"Perioperative In-fection Control"in medical institutions above the secondary level in Guizhou Province,and to delve into the imple-mentation of key measures for infection prevention and control during the perioperative period for patients under-going surgical operations.METHODS Based on the"Implementation Plan for the'Perioperative Infection Control'Initiative in Guizhou Province",a"Case Investigation Form on Key Measures for Infection Prevention and Control During the Perioperative Period for Patients Undergoing Surgical Operation"was developed.A total of 138 medi-cal institutions participated in the case investigation,and a total of 2 128 cases were investigated.RESULTS The overall monitoring indicators for the"Perioperative Infection Control"initiative in the 138 medical institutions a-bove the secondary level in Guizhou Province were at a relatively low level.The skin cleansing compliance rate was 80.32％,the hair removal compliance rate was 16.43％,the prophylactic antibacterial drug administration rate within 0.5-1 hour before surgery was 55.94％and the antibacterial drug discontinuation rate within 24 hours after prophylactic medication for type Ⅰ incision surgeries was 56.48％.The hair removal compliance rate was higher in tertiary medical institutions(19.21％)than in secondary medical institutions(14.34％)(P=0.039).The distri-bution of the four monitoring indicators varied in clinical departments and surgery types,with statistically signifi-cant differences(P＜0.05).The preferred method for surgical site skin cleansing in medical institutions across the province was local wiping,primarily with clean water(57.21％).The primary method for hair removal was razors(68.82％),and hair removal on the day of surgery was most common(61.75％).CONCLUSIONS Conduc-ting a survey on the current status of"Perioperative Infection Control"initiative monitoring indicators in medi-cal institutions in Guizhou Province helps to understand the implementation of key measures for perioperative in-fection prevention and control and set intervention targets,thus providing references for establishing a dynam-ic monitoring indicator change mechanism.

Objective:To assess the relationship between basophil levels and mortality in patients with intra-abdominal infection.Methods:Information on patients with intraperitoneal infection admitted to the intensive care unit were extracted from the MIMIC database.A time-dependent Cox regression model was used to adjust for confounders associated with 28-day mortality.Propensity score matching(PSM)was used to balance the baseline differences be-tween groups with different basophil levels,and a restricted cube chart(RCS)was used to show the relationship between basophil count and 28-day mortality in patients with intra-abdominal infection.Results:A total of 4403 patients with intra-abdominal infection were enrolled in the MIMIC database.Patients with high basophil levels have lower mortality than those with low basophil levels.There was an L-shaped curve between basophil level and 28-day mortality,with a cut-off value of 0.47×109/L.Cox regression analysis showed that basophil levels were an independent protective factor for mortal-ity in patients with intra-abdominal infection after adjusting for potential confounders(HR=0.586,95%CI:0.443-0.769).Protective factors for death at basophil levels remained after PSM adjusted for potential confounders(HR=0.628,95%CI:0.470-0.832).Conclusion:Basophil level is an independent protective factor for mortality in patients with intra-abdominal infection,and basophil levels should be dynamically monitored to better evaluate the prognosis of patients.

Objective To explore the feasibility and corresponding implementation methods of constructing a sample resource bank based on individual-level data of completed clinical trials and using it to construct external controls for drug/device clinical trials.Methods Taking the pre-marketing clinical trial of transcatheter active valve replacement(TAVR)for the treatment of aortic valve stenosis as an example,the individual-level databases of multiple trials were standardized to form a sample bank.The original data of any trial in the sample bank were selected as the experimental group,and the remaining samples were selected as the control group.The potential confounding was handled by using the propensity score matching and stratification methods to clarify the process of constructing external controls based on the sample bank of individual-level data of clinical trials.Results This study included individual-level data of single-group trials of 4 TAVR devices,with a total of 569 subjects(59.2%male).The number of subjects in Trials 1 to 4 was 120,120,163,and 166,respectively.Propensity score matching enabled the matching of 113,117,125,and 147 subjects with comparable or similar characteristics from individual-level data from other trials,respectively,demonstrating a high matching success rate.The PS score distribution plot after stratification showed that the proportions of subjects in the experimental and control groups in strata 1 to 5 in scheme 1 were 4/103,11/103,22/92,32/87,and 51/64,respectively.For all constructed external controlled trials,a certain number of control samples with similar baseline characteristics to the experimental groups were distributed within each propensity score stratum.The results of the simulation test also reflected the potential differences between different devices in the 12-month all-cause mortality rate.Conclusions The sample bank constructed with individual-level data from clinical trials,as a high-quality data source,can serve as a source of external control for single-arm trials in the same field,and as a useful supplement to the external control scenario of real-world evidence to support drug and device development.At the same time,targeted research on research methods and bias control measures in related fields is also needed.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

This consensus was developed by the Orthodontic Society of the Chinese Stomatological Association to provide a systematic, scientific, and practical guideline for informed consent in orthodontic care. Orthodontic treatment is typically lengthy, highly individualized, and involves multiple factors such as growth and development, occlusal function, and facial esthetics. Rapid technological advances and diverse risk profiles make the traditional reliance on orthodontist experience or institutional templates insufficient to ensure patients′ full understanding and autonomous decision-making. To address this, the expert panel conducted extensive reviews of domestic and international guidelines, analyzed representative dispute cases, and performed multicenter patient-clinician surveys. Using a multi-round Delphi method, the group established a standardized informed consent framework covering the initial consultation, treatment, and retention phases. The consensus emphasizes that informed consent is not only a fundamental legal and ethical requirement but also a key step in building trust, improving patient compliance, and enhancing treatment satisfaction. Orthodontists should clearly and comprehensively explain treatment plans, potential risks, uncertainties, and associated costs, while respecting the autonomy of patients or guardians, and maintain continuous communication and dynamic evaluation throughout the treatment process. The release of this consensus provides unified and authoritative guidance for clinical orthodontics, helping to standardize informed consent, enhance its transparency, safeguard patient rights, reduce medical risks, and promote high-quality, sustainable development of orthodontic practice.

Objective To explore the feasibility and corresponding implementation methods of constructing a sample resource bank based on individual-level data of completed clinical trials and using it to construct external controls for drug/device clinical trials.Methods Taking the pre-marketing clinical trial of transcatheter active valve replacement(TAVR)for the treatment of aortic valve stenosis as an example,the individual-level databases of multiple trials were standardized to form a sample bank.The original data of any trial in the sample bank were selected as the experimental group,and the remaining samples were selected as the control group.The potential confounding was handled by using the propensity score matching and stratification methods to clarify the process of constructing external controls based on the sample bank of individual-level data of clinical trials.Results This study included individual-level data of single-group trials of 4 TAVR devices,with a total of 569 subjects(59.2%male).The number of subjects in Trials 1 to 4 was 120,120,163,and 166,respectively.Propensity score matching enabled the matching of 113,117,125,and 147 subjects with comparable or similar characteristics from individual-level data from other trials,respectively,demonstrating a high matching success rate.The PS score distribution plot after stratification showed that the proportions of subjects in the experimental and control groups in strata 1 to 5 in scheme 1 were 4/103,11/103,22/92,32/87,and 51/64,respectively.For all constructed external controlled trials,a certain number of control samples with similar baseline characteristics to the experimental groups were distributed within each propensity score stratum.The results of the simulation test also reflected the potential differences between different devices in the 12-month all-cause mortality rate.Conclusions The sample bank constructed with individual-level data from clinical trials,as a high-quality data source,can serve as a source of external control for single-arm trials in the same field,and as a useful supplement to the external control scenario of real-world evidence to support drug and device development.At the same time,targeted research on research methods and bias control measures in related fields is also needed.

Objective To analyze the composition characteristics and biological functions of tumor cell subpopulations in glioblastoma(GBM)through multi-transcriptomics sequencing technology,and explore the hypoxia characteristics and spatial localization features of the mesenchymal-like(MES-like)tumor cell subpopulation in GBM and the influence on malignant biological behaviors.Methods Multi-transcriptomics sequencing data,including single-cell RNA sequencing(scRNA-seq)data(18 patients),bulk RNA sequencing(bulk RNA-seq)and spatial transcriptomics(ST)data of GBM,were employed to define cell subpopulations in GBM,and Gene Ontology(GO)and Gene Set Enrichment Analysis(GSEA)were utilized to analyze their functions.The proportions and locations of cell subpopulations in bulk RNA-seq data were evaluated with BayesPrism deconvolution.Immunofluorescence assay was conducted for verification on 12 paraffin samples of GBM from patients who visited the neurosurgical department of our hospital from 2015 to 2023 and met the pathological diagnostic criteria for GBM(10 males and 2 females,at an average age of 53.50 years and a median age of 54.50 years).pySCENIC was applied to predict specific transcription factors of tumor cell subpopulations.Results Tumor cells in GBM were highly heterogeneous,and could be mainly divided into 4 subpopulations:astrocyte-like(AC-like),neural progenitor-like(NPC-like),oligodendrocyte progenitor-like(OPC-like)and MES-like.Differential gene analysis found that the MES-like tumor cells highly expressed vascular endothelial growth factor A(VEGFA),adrenomedullin(ADM),N-myc downstream regulated 1(NDRG1),insulin like growth factor binding protein 5(IGFBP5),and A-kinase anchoring protein 12(AKAP12)(P<0.001).pySCENIC transcription factor prediction found that the high-active transcription factors of the MES-like tumor cells were AT-rich interaction domain 3A(ARID3A),FOS like 2,AP-1 transcription factor subunit(FOSL2),endothelial PAS domain protein 1(EPAS1),CCAAT enhancer binding protein delta(CEBPD),and CCAAT enhancer binding protein beta(CEBPB)(P<0.05).GO and GSEA enrichment analyses found that the MES-like tumor cells were enriched in hypoxia-related pathways,especially the pathway of cell responses to hypoxia levels(NES=2.437,P<0.001).BayesPrism deconvolution showed that the MES-like tumor cells mainly existed in PAN(Pseudopalisading cells around necrosis)and perinecrotic zone.Immunofluorescence assay confirmed CD44+(CD44 antigen)MES-like tumor cells were mainly located in hypoxia areas with highly expression of hypoxia inducible factor 1 subunit alpha(HIF1α)(P<0.01).Multivariate Cox regression analysis indicated that the MES-like tumor cells were significantly correlated with the adverse prognosis of GBM patients(HR=1.71,95%CI:1.38～2.11,P<0.001).Conclusion Tumor cells in GBM are of highly heterogeneity.They could be mainly divided into 4 subpopulations:AC-like,NPC-like,OPC-like and MES-like.MES-like tumor cells,mainly locating in PAN and perinecrotic zone,are characterized by hypoxia,which can promote the malignant progression of GBM.

Objective To determine the acute effects of blood flow restriction(BFR)running warm-up on Achilles tendon morphology and function in basketball players in order to provide a theoretical basis for optimizing warm-up protocols for military personnel and athletes susceptible to Achilles tendon injuries.Methods Twenty-seven male basketball players were subjected and asked to participate in 3 different running warm-up protocols:low-speed running(LSR),high-speed running(HSR),and BFR combined with LSR(BFR-LSR).The acute changes in Achilles tendon morphology,mechanical properties,and functional performance across the 3 testing sessions were analyzed and compared.Results Immediately after training,both HSR warm-up and BFR-LSR warm-up significantly improved Achilles tendon thickness,blood flow,stiffness,and gastrocnemius maximal voluntary isometric contraction(MVIC)when compared with LSR warm-up(P<0.05).No statistical differences were observed in above indicators between the BFR-LSR and HSR warm-ups(P>0.05).24 hours after training,compared with LSR warm-up,HSR warm-up still significantly improved Achilles tendon thickness,blood flow,stiffness,and gastrocnemius MVIC(P<0.05).Although BFR-LSR warm-up did not show statistically significant differences in these parameters compared to LSR warm-up,it still demonstrated positive trends.Immediately and 24 h after training,no obvious difference were found in jump performance among the 3 warm-up protocols(P>0.05),but,both BFR-LSR and HSR warm-ups exhibited superior performance than LSR warm-up.Conclusion Immediately after training,BFR-LSR warm-up demonstrates comparable effects to the HSR warm-up on improving Achilles tendon morphology and performance,as well as enhancing jump performance.However,its sustained and long-term effects require further investigation.

With the increasing demand for dynamic,real-time and rapid qualitative analysis of chemical composition in areas such as emergency response and space exploration,chip-scale mass spectrometers have attracted significant attention.These devices are expected to drive the integration of mass spectrometry with micro/nano-fabrication and intelligent sensing technologies,fostering profound innovation and breakthroughs in analytical chemistry.As an excellent mass analyzer,the ion trap exhibits numerous advantages,and its miniaturization creates favorable conditions for the high-density integration of miniature mass spectrometers.However,the reduction in ion storage capacity may compromise its sensitivity and dynamic range,rendering the study of ion unidirectional ejection in highly miniaturized ion traps of significant practical importance.In this work,a research was conducted on achieving efficient ion unidirectional ejection while maintaining high mass resolution in the extremely miniature hyperbolic linear ion trap(M-HLIT)with a field radius of 1 mm,and an electric field compensation method was proposed,which combined asymmetric electrode stretching and unbalanced RF voltage to achieve high-precision optimization of the electric field composition.Simulations showed that in an ideal structure,this method achieved 100％unidirectional ejection efficiency with the mass resolution of 518,significantly outperforming traditional asymmetric structure method(365)and unbalanced voltage method(321).Following the introduction of ion ejection slots,further optimization through bidirectional stretching and electrical parameters improved the resolution to 790 while maintaining a unidirectional ejection efficiency of 93％.This method eliminated the requirement for additional excitation voltage,offering an ideal solution for the miniature mass analyzer with high detection performance of chip-level mass spectrometers.

BackgroundChildhood represents a critical stage for cognitive development. Accurate assessment of children's cognitive abilities and understanding their developmental characteristics are essential for promoting healthy growth. However， traditional cognitive assessment methods typically rely on manual administration， presenting limitations such as low efficiency and insufficient engagement. These methods struggle to meet the assessment needs of children and are difficult to scale up for large-scale applications. ObjectiveTo develop a digital cognitive assessment tool for children， so as to provide a more convenient approach for evaluating children's cognitive functions. MethodsBased on classic psychological paradigms （Stroop Task， N-back， digit span， spatial orientation， and face-name matching）， a digital cognitive assessment tool was developed. This tool includes five tasks including color matching， shape matching， greening the home， great collector， and face-name matching， designed to assess core cognitive functions such as inhibitory control， working memory， short-term memory， spatial orientation， and semantic processing， respectively. From August 2024 to March 2025， a total of 750 students aged 9–12 yeas old from a primary school in Chengdu were enrolled and assessed using the digital cognitive assessment tool. Three months later， 40 children were randomly selected for retesting using both the digital tool and its corresponding standardized psychological paradigms. Pearson correlation analysis was conducted to examine the correlation between the pre-test and retest scores of the digital cognitive assessment tool， as well as the correlation between the digital cognitive task scores and the corresponding psychological paradigm assessment results， in order to evaluate the reliability and validity of the digital cognitive assessment tool. Additionally， differences in scores across the cognitive tasks were compared among children of different age groups and genders. ResultsA total of 699 valid samples were included. The younger age group consisted of children aged 9–10 years old （n=460）， while the older age group comprised those aged 11–12 years old （n=239）. There were 356 boys （50.93%） and 343 girls （49.07%）. In the reliability analysis， the Pearson correlation coefficients between the pre-test and retest scores of each assessment task ranged from 0.732 to 0.970 （P<0.01）， indicating statistically significant results. In the validity analysis， the Pearson correlation coefficients between each task and its corresponding standard cognitive test ranged from 0.679 to 0.988 （P<0.01）. In the color-matching task， both the main effects of age and gender were statistically significant （F=31.071， 21.198， P<0.01）. In the shape-matching task， the main effects of age， gender， and their interaction were all statistically significant （F=20.933， 5.926， 4.318， P<0.05 or 0.01）. In the greening the home task， the main effect of age was significant （F=5.243， P=0.023）. In the great collector task， the main effect of age was significant （F=33.697， P<0.01）. In the face-name matching task， only the main effect of gender was significant （F=27.016， P<0.01）. Further analysis showed that within the female group， older group scored significantly higher than younger group in five tasks（P<0.05 or 0.01）. Within the male group， younger group scored lower than older group in both the color-matching and great collector tasks （P<0.05 or 0.01）. Within the younger group， boys scored significantly higher than girls in color-matching and shape-matching tasks （P<0.01）. In the older group， girls scored significantly higher than boys in face-name matching task （P<0.01）. ConclusionThe digital cognitive assessment tool developed in this study demonstrates good reliability and validity. The development of cognitive functions in children aged 9–12 years old showed significant differences in age and gender， with specific developmental trajectories across different cognitive dimensions. At younger ages， boys outperformed girls in inhibitory control and working memory tasks， though this advantage diminished with age. At older ages， girls exhibited superior performance in semantic processing compared with boys.