Bronchiolar adenoma (BA) is a rare type of lung tumor characterized by bilayered epithelial cells having a continuous basal layer and a luminal layer. It resembles mucinous adenocarcinoma (MA) on frozen section, with difficulty in distinguishing the basal layer. Immunohistochemistry is the best choice for verifying the diagnosis. This study aimed to comprehensively characterize three cases of BA-combined carcinoma using clinical, histopathological, and genetic features. BA and carcinoma sections were subjected to next-generation sequencing, respectively. It was hypothesized that while different mutation forms matched different regions, BA and lung adenocarcinoma shared the same gene mutation when they co-occurred in the same location. BA with extensive carcinoma is extremely rare and presents diagnostic challenges due to its overlap with conditions such as MA. Because of its distinctive morphological characteristics, BA may be regarded as a low-grade malignancy, particularly during a confusing evaluation. A multifaceted examination of clinical, radiological, immunohistochemical, and genetic data is necessary for an accurate diagnosis.

Objective:To explore the influence of value orientation brief therapy (VBT) on anxiety and depression symptoms, social function, coping style and self-acceptance level of major depressive disorder adolescents with anxious distress.Methods:From June 2021 to June 2022, seventy adolescent major depressive disorder patients with anxious distress were included in the study, who were randomly divided into study group(35 people, 31 people completed)and control group (35 people, 30 people completed). The study group was given routine treatment combined with VBT, while the control group was given routine treatment only. Before and after treatment, Hamilton anxiety scale(HAMA), Hamilton depression scale (HAMD), social disability screening schedule (SDSS), coping style questionnaire(CSQ) and self-acceptance questionnaire (SAQ) were used to evaluate the two groups, and SPSS 26.0 software was used to statistically analyze the data of the two groups. Paired sample t-test was used for intra-group comparison, and independent sample t-test was used for inter-group comparison. Results:After 6 weeks of treatment, the scores of HAMA((6.03±3.58) vs (14.03±7.06), t=5.55, P<0.01), HAMD((8.77±5.52 ) vs (16.50±7.59), t=4.56, P<0.01)and SDSS((4.23±1.50) vs (6.63±0.96), t=7.43, P<0.01)in the study group were significantly lower than those in the control group, the differences were statistically significant. The scores of self-acceptance((19.23±1.33) vs (13.47±1.46), t=-16.12, P<0.01)and self-evaluation ((19.87±2.87) vs (12.77±1.68), t=-11.75, P<0.01) in the SAQ scale and the scores of problem-solving((8.71±2.30) vs (6.23±3.45), t=3.31, P<0.05) and rationalization ((6.20±3.11) vs (4.67±2.43), t=2.13, P<0.05) in the CSQ questionnaire were significantly higher than those in the control group, the differences were statistically significant. The total effective rate of the study group(90.3%(28/31) vs 66.7%(20/30), χ2=5.09, P<0.05) was significantly higher than that of the control group, the difference was statistically significant. Conclusion:The effect of routine treatment combined with VBT is better, which can effectively improve anxiety and depression symptoms, social function and coping style, and enhance self-acceptance and self-evaluation in adolescent major depressive disorder patients, which is worthy of clinical application.

Objective:To explore the influence of value orientation brief therapy (VBT) on anxiety and depression symptoms, social function, coping style and self-acceptance level of major depressive disorder adolescents with anxious distress.Methods:From June 2021 to June 2022, seventy adolescent major depressive disorder patients with anxious distress were included in the study, who were randomly divided into study group(35 people, 31 people completed)and control group (35 people, 30 people completed). The study group was given routine treatment combined with VBT, while the control group was given routine treatment only. Before and after treatment, Hamilton anxiety scale(HAMA), Hamilton depression scale (HAMD), social disability screening schedule (SDSS), coping style questionnaire(CSQ) and self-acceptance questionnaire (SAQ) were used to evaluate the two groups, and SPSS 26.0 software was used to statistically analyze the data of the two groups. Paired sample t-test was used for intra-group comparison, and independent sample t-test was used for inter-group comparison. Results:After 6 weeks of treatment, the scores of HAMA((6.03±3.58) vs (14.03±7.06), t=5.55, P<0.01), HAMD((8.77±5.52 ) vs (16.50±7.59), t=4.56, P<0.01)and SDSS((4.23±1.50) vs (6.63±0.96), t=7.43, P<0.01)in the study group were significantly lower than those in the control group, the differences were statistically significant. The scores of self-acceptance((19.23±1.33) vs (13.47±1.46), t=-16.12, P<0.01)and self-evaluation ((19.87±2.87) vs (12.77±1.68), t=-11.75, P<0.01) in the SAQ scale and the scores of problem-solving((8.71±2.30) vs (6.23±3.45), t=3.31, P<0.05) and rationalization ((6.20±3.11) vs (4.67±2.43), t=2.13, P<0.05) in the CSQ questionnaire were significantly higher than those in the control group, the differences were statistically significant. The total effective rate of the study group(90.3%(28/31) vs 66.7%(20/30), χ2=5.09, P<0.05) was significantly higher than that of the control group, the difference was statistically significant. Conclusion:The effect of routine treatment combined with VBT is better, which can effectively improve anxiety and depression symptoms, social function and coping style, and enhance self-acceptance and self-evaluation in adolescent major depressive disorder patients, which is worthy of clinical application.

Biochemistry,as a fundamental course for science and engineering majors related to biology and chemistry,holds a significant position in the curriculum.The course team at Dalian Minzu University is committed to teaching innovation,adopting the outcome-based education(OBE)concept for teaching de-sign and incorporating ideological and political elements,in order to achieve the dual goals of knowledge transmission and value guidance.The team has established a three-dimensional teaching goal of"knowl-edge,morality,and ability",covering"consolidating core knowledge,cultivating moral sentiment,and enhancing innovation ability".Through a multi-dimensional integrated teaching method of"three integra-tions and five combinations",multiple rounds of teaching practice have been carried out in the applied chemistry major using"classification and specificity of enzyme"as an example.The output of teaching re-sults and survey questionnaires show that students highly recognize the teaching design and its"process-based learning"evaluation method,fully reflecting the student-centered teaching idea.Research has shown that OBE design combined with ideological and political elements can effectively promote students' knowl-edge acquisition,moral growth,and innovation ability improvement in the course of Biochemistry.This teaching design not only helps students construct correct worldviews,outlooks on life,and values,but also significantly enhances their innovative thinking and practical abilities.This teaching design can not only ef-fectively improve the teaching quality of the course,but also provide new perspectives and ideas for the teaching design of Biochemistry,realizing the organic integration of professional knowledge imparting and i-deological and political education,and has certain innovation and practical significance.

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.

Objective To explore the general forensic characteristics of deaths caused by hypothermia.Methods Through bibliometric methods,238 cases of hypothermia deaths were collected and statistically analyzed in terms of age,gender,mental state,location,and forensic autopsy findings.Results Among the 238 cases of hypothermia deaths,males outnumbered females(1.833:1);the 18～44 age group was the most frequent(58.82%);deaths of mentally ill patients,homeless individuals,and alcohol-intoxicated victims all occurred outdoors(61.76%);mortality rate was highest in February(36.13%),and the incidence in northern regions(97.90%)was higher than in southern areas;common autopsy findings included paradoxical undressing(57.56%),bright red lividity(53.36%),and gastrointestinal hemorrhage(40.34%);statistical analysis showed that all deaths after drug use,alcohol consumption,or sleeping pill ingestion occurred outdoors,with alcohol-related hypothermia deaths being the most common(12.61%).Conclusion Deaths by hypothermia present distinctive forensic characteristics that,when combined with crime scene investigation,pre-mortem mental state assessment,and climate data,can provide valuable reference for forensic identification.

OBJECTIVE To detect the phenotypes and genotypes of carbapenem-resistant Enterobacteriaceae(CRE)strains and understand the drug resistance phenotypes and molecular characteristics of the CRE strains.METHODS Totally 85 strains of CRE were isolated and restored in microbiology lab of Affiliated Hospital of Inner Mongolia Medical University from Jan.2019 to Aug.2023.The phenotypes of carbapenemases were detected by means of carbapenemase inhibitor enhancement test,the genotypes of carbapenemases were detected by polymerase chain reaction(PCR),and the sequence type(ST)was further analyzed by multilocus sequence typing(MLST).RESULTS Among the 85 strains of CRE that were detected for phenotypes,54 strains carried serinase(type A carbapenemase),23 strains carried metalloenzyme(type B carbapenemase),5 strains produced both type A and type B carbapenemase,and 3 strains produced neither the type A and/or type B carbapenemase.Totally 5 common genotypes of carbapenemases were amplified for 73 strains of CRE,the detection rate of blaKPC was highest,fol-lowed by blaNDM;the drug resistance genes blaIMP,blaVIM and blaOXA-48 were not detected.The 51 strains of car-bapenem-resistant Klebsiella pneumoniae(CRKP)were classified into 7 types of ST in total,which were as fol-lows:ST1,ST11,ST15,ST23,ST34,ST690,ST4862.CONCLUSIONS The isolation rate of CRKP is highest among the CRE strains,and ST11 is the most prevalent strain.Serinase is the most common drug resistance phe-notype,and KPC type carbapenemase is the predominant drug resistance genotype.

Objective:To analyze the association between healthcare workers mental health,institu-tional supplies and facilities,inter-organizational coordination during infectious disease outbreaks,and the healthcare institution resilience.Methods:An online questionnaire survey was conducted among the healthcare workforce from 146 institutions in Beijing from January 13,2023 to February 9,2023,and a total of 1 434 eligible respondents were included.The sample comprised 408 responses from tertiary hos-pitals,117 from secondary hospitals,and 909 from primary care institutions.The resilience indicator for healthcare institutions was defined as the degree to which medical services met patient demands,with in-fluencing factors including physical factors,such as material shortages and facility space adaptation or ex-pansion,organizational factors such as information sharing and patient referral,and psychological factors were evaluated using job satisfaction(extrinsic satisfaction,intrinsic satisfaction),burnout(emotional exhaustion,depersonalization,reduced personal accomplishment),and depression status.Ordered mul-ticlassification Logistic regression was used to examine the impact of various factors on the degree to which healthcare services met patient needs;additionally,demographic factors that might influence institutional resilience were controlled.Results:During the emergency response phase,93％of hospitals maintained the capacity to meet patient needs,though tertiary hospitals demonstrated significantly higher rates of service inadequacy(21.05％).Material shortages were reported across all institutions,with tertiary hos-pitals experiencing more frequent multi-item shortages.Inter-institutional collaboration patterns revealed substantial variation:87.50％of primary care facilities,42.86％of secondary hospitals,and 31.58％of tertiary hospitals.Healthcare workers across all levels reported mild depressive symptoms and moderate-to-severe burnout levels.Regression analysis showed high satisfaction(overall satisfaction β=0.04,ex-trinsic satisfaction β=0.06,and intrinsic satisfaction β=0.08),low degree of job burnout(emotional exhaustion β=-0.04,depersonalization β=-0.07 and reduced personal accomplishment β=0.01),low degree of depression(β=-0.06)were significantly associated with higher healthcare institution re-silience.In addition,material shortages were significantly associated with lower resilience,and renova-tion and expansion of treatment spaces,and information sharing,were all associated with higher resilience.Demographic factors(age,gender,marital status,educational background,etc.)had no sig-nificant impact on resilience.Conclusion:Mental health status significantly influences healthcare institu-tion resilience.As human resources constitute the core asset of healthcare institutions,strategic optimiza-tion of workforce allocation and psychological support interventions can effectively strengthen resilience.Moreover,healthcare institution resilience is positively impacted by orderly material supply chains,timely resource distribution,and adaptive reconfiguration of clinical spaces.Finally,facilitating information sharing also enhances institutional resilience.

To achieve rapid and visual detection of Plasmodium vivax,a detection method based on recombinase polymerase amplification(RPA)technology and lateral flow dipstick(LFD)was established and evaluated.Targeting the conserved sequence of the P.vivax 18S rRNA gene(GenBank:DQ660817.1)as the target sequence,primers and probes were designed with Primer Premier 5,and the P.vivax recombinant plasmid(pUCPv)was constructed as the standard.A sensitive and specific RPA-LFD-based rapid visual detection method for P.vivax nucleic acids was established.The plasmid standard was serially diluted 10-fold to concentrations of 1×103,1×102,1×101,1×10?,and 1×10?1 copies/μL for sensitivity testing.To evaluate specificity,whole blood DNA samples from patients infected with Plasmodium falciparum,Plasmodium malariae,Plasmodium ovale,or Leishmania donovani,as well as healthy participants,were tested by RPA-LFD.Additionally,The assay′s accuracy was evaluated by testing whole blood DNA samples from 24 confirmed P.vivax-infected patients.This study successfully established a sensitive,specific,and rapid visual RPA-LFD method for detecting P.vivax nucleic acids.The assay can complete P.vivax detection within 20 minutes under isothermal conditions at 39 ℃,achieving a sensitivity of 1 copy/μL.There is no significant cross reaction with parasites such as other Plasmodium species and L.donovani,and the specificity is 100%.All 24 DNA samples from confirmed P.vivax patients were detected,showing a 100%detection rate.The developed RPA-LFD assay exhibits excellent sensitivity and specificity,requires only simple heating equipment,and is user-friendly.This rapid visual detection method is particularly suitable for P.vivax screening in low-resource settings.

Objective:To investigate the predictive efficacy of Delta radiomics for the patholo-gical complete remission (pCR) of pancreatic cancer after total neoadjuvant therapy (TNT).Methods:The retrospective cohort study was conducted. The clinicopathological data of 263 patients with pancreatic cancer who were admitted to Henan Provincial People′s Hospital (Zhengzhou University People's Hspital) from January 2019 to September 2024 were collected. There were 166 males and 97 females, aged (56±12)years. All patients underwent TNT. The 263 patients were randomly divided into a training set of 184 cases and a test set of 79 cases using a 7∶3 random seed count. The training set was used to construct the prediction model, and the test set was used to validate the performance of the prediction model. Observation indicators: (1) postoperative and follow-up condi-tions; (2) imaging feature selection and model construction; (3) evaluation of predictive efficacy of different radiomic models. Comparison of measurement data with normal distribution between groups was conducted using the t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. The Kaplan-Meier method was used to calculate the survival rate and draw survival curve. The Log-rank test was used for survival analysis. The perfor-mance of the prediction model for pCR after TNT was evaluated using the receiver operator charac-teristic (ROC) curve, precision-recall (P-R) curve and Bootstrap method, along with the calculation of area under the curve (AUC), precision rate, recall rate, F1-score. Results:(1) Postoperative and follow-up conditions. All 263 patients underwent surgery after TNT, with pathological examination revealing 124 cases of pCR (86 cases in the training set, 38 cases in the test set) and 139 cases of non-pCR (98 cases in the training set, 41 cases in the test set), respectively. All 263 patients were followed up for 6(range, 3-12) months after surgery, of which 15 cases (4 cases of pCR and 11 cases of non-pCR) were lost to follow-up or died due to non-tumor reasons within 6 months after surgery. The postoperative 6-month recurrence-free survival rate of 124 pCR patients and 139 non-pCR patients were 80% and 50%, respectively, showing a significant difference between the two groups of patients ( χ2=22.84, P<0.05). (2) Imaging feature selection and model construction. Construction of the traditional radiology model: based on the response evaluation criteria in solid tumors 1.1, the Logistic regression model was constructed using the relative shrinkage (D%) as a predictive variable. The AUC of traditional radiology model was 0.72 [95% confidence interval ( CI) as 0.63?0.81] in the training set and 0.75 (95% CI as 0.66?0.84) in the test set, respectively. Construction of the Delta radiomics model: 10 non-zero coefficient features were selected. The Delta radiomics models were constructed by using the regularized Logistic regression, random forest, gradient boosting machine, and support vector machine algorithms through using selected features as input variables. (3) Evaluation of predictive efficacy of different radiomic models. The AUC of Delta radiomics model constructed by regularized Logistic regression algorithm in the test set for predicting pCR in pancreatic cancer after TNT was 0.90, higher than that of the random forest algorithm, gradient boosting machine algorithm, support vector machine algorithm (AUC as 0.81, 0.81, 0.83), and higher than that of the traditional radiology model (AUC as 0.72). Results of Bootstrap method revealed significant differences in the predictive efficacy of Delta radiomics model constructed by regularized Logistic regression algorithm compared to the Delta radiomics model constructed by random forest algorithm, gradient boosting machine algorithm, support vector machine algorithm and the tradi-tional radiology model (95% CI as 0.03?0.16, 0.03?0.16, 0.03?0.13, 0.08?0.29, P<0.05). The regularized Logistic regression algorithm within the Delta radiomics model demonstrated the best overall performance among the above models evaluated. Conclusion:Compared to the traditional radiology model, the Delta radiomics model offers superior efficacy in predicting pCR of pancreatic cancer after TNT, in which the regularized Logistic regression algorithm demonstrates the best overall performance metrics.