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 investigate indoor radon concentrations and environmental cumulative doses in residential and office units in Shenzhen, and estimate the average annual effective dose, and to provide data for assessing public health risks. Methods Within the 11 administrative districts of Shenzhen (including the Shenzhen-Shanwei Special Cooperation Zone), 17 residential units and 3 office units were randomly selected as monitoring sites in each district. The units selected represented buildings of different ages and various floors on which the units were located. Radon detectors and environmental cumulative dosimeters were deployed for monitoring. Results The indoor radon concentrations in Shenzhen during the two monitoring periods were (36.6 ± 16.5) Bq/m³ and (19.8 ± 15.3) Bq/m³, respectively. The environmental cumulative doses for the two monitoring periods were (0.33 ± 0.07) mSv and (0.25 ± 0.04) mSv, respectively. The estimated average annual effective dose due to indoor radon in Shenzhen was 0.92 mSv. Conclusion All monitored indoor radon concentrations in Shenzhen were below the national standard of China. The indoor radon concentrations exhibited significant regional variations, were higher in spring than in summer, and showed no statistically significant differences across buildings of different ages or units of various floors. The trends in indoor radon concentrations and environmental cumulative doses were highly consistent. The average indoor radon concentration in Shenzhen was lower than both the global and national levels, indicating a low risk of internal radiation exposure from radon.

Triple-negative breast cancer is therapeutically challenging due to the low expression of tumor markers and 'cold' tumor immunosuppressive microenvironment. Here, we present a dual-targeting peptide-drug conjugate (PDC) for tumor inhibition. Our PDC efficiently and selectively delivers cytotoxic Monomethyl Auristatin E (MMAE) into tumor cells via C-X-C chemokine receptor type 4 (CXCR4) and folate receptor 1 (FOLR1) for synergistic inhibition of growth and metastasis. Our results show that the dual-targeting PDC has potent antitumor activity in cultured human cells and several murine transplanted tumor models without apparent toxicity. The combination of dual-targeting PDC and radiotherapy modulates the tumor immunosuppressive microenvironment by increasing CD8⁺ T cell infiltration and attenuating the proportion of myeloid-derived suppressor and regulatory T cells. Therefore, our dual-targeting PDC represents a promising new strategy for cancer therapy that rebalances the immune system and promotes tumor regression.

Objective:To investigate exercise fear condition and its influencing factors in patients with coronary heart dis-ease(CHD)involving in phase Ⅱ cardiac rehabilitation after percutaneous coronary intervention(PCI).Methods:Conven-ience sampling was performed among cardiac rehabilitation patients from a Shanxi grade-A tertiary hospital between Janu-ary 2023 and June 2023.General data questionnaire,Tampa Scale for Kinesiophobia-Short Version for Heart patients(TSK-SV H),the Multidimensional Scale of Perceived Social Support(MSPSS)and the Post Percutaneous Coronary In-tervention Health Literacy Scale(PPCIHLS)were used for assessment.Pearson and Spearman rank correlation analyses were applied to investigate the relationships between social support factors and health literacy factors with patients'fear of exercise;multivariate linear regression models and quantile regression models were used to analyze the influencing factors of fear of exercise.Results:Among the 118 patients,average TSK-SV H score was(33.78±3.79)points;10.2％patients showed significant fear.The correlation analysis showed that PPCIHLS score was negatively correlated with TSK-SV H score(r=-0.423,P＜0.001).Results from multivariate regression analysis indicated that health literacy,cardiac func-tion class and drinking status affected the average score of exercise fear(P＜0.05 all).The quantile regression model pro-vided additional insights,showing that the impact of factors such as living situation,drinking status,cardiac function class and health literacy on exercise fear varied across different quantiles.Notably,cardiac function class had a consistently posi-tive effect on TSK-SV H score at various quantiles.Conclusion:Improving health literacy and tailored rehabilitation plans are vital to reduce exercise fear and improve cardiac rehabilitation effect.

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 investigate exercise fear condition and its influencing factors in patients with coronary heart dis-ease(CHD)involving in phase Ⅱ cardiac rehabilitation after percutaneous coronary intervention(PCI).Methods:Conven-ience sampling was performed among cardiac rehabilitation patients from a Shanxi grade-A tertiary hospital between Janu-ary 2023 and June 2023.General data questionnaire,Tampa Scale for Kinesiophobia-Short Version for Heart patients(TSK-SV H),the Multidimensional Scale of Perceived Social Support(MSPSS)and the Post Percutaneous Coronary In-tervention Health Literacy Scale(PPCIHLS)were used for assessment.Pearson and Spearman rank correlation analyses were applied to investigate the relationships between social support factors and health literacy factors with patients'fear of exercise;multivariate linear regression models and quantile regression models were used to analyze the influencing factors of fear of exercise.Results:Among the 118 patients,average TSK-SV H score was(33.78±3.79)points;10.2％patients showed significant fear.The correlation analysis showed that PPCIHLS score was negatively correlated with TSK-SV H score(r=-0.423,P＜0.001).Results from multivariate regression analysis indicated that health literacy,cardiac func-tion class and drinking status affected the average score of exercise fear(P＜0.05 all).The quantile regression model pro-vided additional insights,showing that the impact of factors such as living situation,drinking status,cardiac function class and health literacy on exercise fear varied across different quantiles.Notably,cardiac function class had a consistently posi-tive effect on TSK-SV H score at various quantiles.Conclusion:Improving health literacy and tailored rehabilitation plans are vital to reduce exercise fear and improve cardiac rehabilitation effect.

Fragile X syndrome(FXS)is caused by abnormal duplication and amplification of the FMR1 gene CGG.This article reports a pair of brothers diagnosed with FXS by genetic testing.Two patients,aged 15 and 14 years old respectively,both had clinical manifestations such as language disorders,intellectual disabilities,attention deficit disorder,autism spectrum disorder,and FXS's characteristic facial features.The proband had a rare late-onset epileptic seizure,which was well treated with levetiracetam,while his younger brother had no electroencephalogram abnormalities after repeated follow-up.This pair of cases suggests that the clinical phenotype of FXS has diversity and heterogeneity.

Objective To investigate the relationship between the combined detection of lipoprotein-associated phospholipase A2(Lp-PLA2),protease activated receptor 2(PAR-2),and advanced oxidation protein products(AOPP)and the occurrence of in-stent restenosis after percutaneous coronary intervention(PCI),as well as its predictive value.Methods Patients with coronary heart disease after PCI were selected as the study objects.Group Ⅰ was the group without in-stent restenosis and group Ⅱ was the group with in-stent restenosis.The expressions of Lp-PLA2,PAR-2 and AOPP were detected by enzyme-linked immunosorbent assay(ELISA),and the predictive value and independent risk factors of these gene expression changes and the risk of in-stent restenosis were analyzed by receiver operating characteristic(ROC)analysis and binary logistic regression analysis.Results The blood Lp-PLA2 levels in group Ⅰ and group Ⅱ after 1 year follow-up after stenting were(190.24±33.67)and(256.14±37.68)ng·mL-1;PAR-2 levels were(1.41±0.38)and(1.95±0.43)ng·L-1,respectively;the AOPP levels were(47.25±4.62)and(58.76±4.86)μmol·L-1,respectively,and the differences were statistically significant(all P＜0.001).ROC analysis results showed that the truncation values of Lp-PLA2,PAR-2 and AOPP were 201.32 ng·mL-1,1.50 ng·mL-1 and 49.37 μmol·L-1,respectively.The area under the curve(AUC)was significantly higher than that detected alone(all P＜0.001).Binary logistic regression analysis shows that the independent risk factors for in-stent restenstenosis after PCI were Lp-PLA2 ≥ 201.32 ng·mL-1,PAR-2≥1.50 ng·L-1,AOPP ≥49.37 μmol·L-1 and LDL-C≥3.03 mmol·L-1,respectively(all P＜0.05).Conclusion The occurrence of in-stent restenosis after PCI is closely related to the increase in Lp-PLA2,PAR-2 and AOPP expression.

Objective:To investigate the value of dual-detector spectral CTA in distinguishing infarct core from penumbra in patients with acute ischemic stroke(AIS), and to further explore the risk factors associated with infarct core and their predictive value.Methods:The imaging and clinical data of 163 patients with AIS who met the inclusion criteria admitted to the Second Affiliated Hospital of Soochow University from March 2022 to May 2023 were retrospectively analyzed. Patients from March 2022 to December 2022 were used as the training group, and patients from January 2023 to May 2023 were used as the validation group for internal validation. The head and neck spectral CTA and brain CT perfusion imaging with dual-layer detector spectral CT were all carried out on all patients. Using CTP as reference, the patients were divided into infarct core group and non-infarct core group according to whether an infarct core occurred in the hypoperfusion regions of brain tissue. Multivariate logistic regression analysis was used to screen predictors related to the infarct core. The receiver operating characteristic (ROC) curve was used to evaluate the predictive efficacy.Results:A total of 163 patients were included in the study, including 112 in the training group and 51 in the validation group. There were significant differences in iodine density, effective atomic number, hypertension, triglyceride and neutrophils between the two groups ( P< 0.05). The cutoff values for iodine density values and effective atomic number values were 0.215 mg/mL and 7.405, respectively. Multivariate logistic regression analysis showed that iodine density and hypertension were independent risk factors for infarct core in AIS, and triglyceride was an independent protective factor. The area under the ROC curve (AUC) of iodine density value was the largest (0.859), with a sensitivity of 70.27%, and a specificity of 90.67%, which had a good predictive value. The ROC curve analysis results for the validation group were consistent with the training group. Conclusions:Spectral CT parameters iodine density values and effective atomic number values have the potential to distinguish the infarct core area from the penumbra area in patients with AIS. Iodine density and hypertension were independent risk factors of infarct core in AIS, triglyceride was an independent protective factor, and iodine density values obtained by dual-layer spectral detector CT had a high predictive value.

Fungal mycetoma is a chronic granulomatous lesion that persists in the skin and subcutaneous tissue for a long time.It is commonly caused by fungal infection in field workers who are pricked to the subcutaneous tissue by thorns from soil,plants,or bramble.Fungal mycetoma cases is rare in China.This article reports two cases of fun-gal mycetoma caused by Madurella grisea and Aspergillus flavus infection,which improve after surgical debride-ment and antifungal drug treatment.This study aims to improve clinicians'understanding on fungal mycetoma and achieve early diagnosis and treatment.