The welfare and ethics of laboratory animals are the ethical principles and behavioral norms that need to be followed in conducting animal-based scientific research, breeding and managing laboratory animals, and supervising and regulating such activities. The level of protection of laboratory animal welfare and ethics is closely related to the development of science and technology, which has become a widely recognized international consensus. At present, Guangdong Province is accelerating the construction of a high-level science and technology innovation province and the Guangdong-Hong Kong-Macao Greater Bay Area International Science and Technology Innovation Center. Guangdong Province should rely on its advanced governance capacity in the field of laboratory animal science and technology ethics to promote the high-quality development of its laboratory animal science and technology sector. Based on the management laws, regulations, and institutional mechanisms of laboratory animals in China, this paper explores the optimization of the laboratory animal science and technology ethics governance system, which includes the institutional guarantees, responsibility systems, ethical review and supervision mechanisms, and education and outreach. Through methods such as literature research, questionnaire surveys, and interview investigations, an empirical study of the laboratory animal science and technology ethics governance system in Guangdong Province has been conducted. Analysis of literature and research results shows that Guangdong Province has basically established a laboratory animal management system, collaboration mechanism, supervision mechanism, and education and training system that meet the current requirements of the laboratory animal science and technology ethics governance system in China. However, there are still problems such as an incomplete laboratory animal science and technology ethics supervision mechanism, an underdeveloped operation mechanism of review institutions, insufficient attention paid by laboratory animal units to the ethical review of animal experiments, inconsistent ethical review standards, and a lack of professional ethical education and training for ethics review personnel. Therefore, optimization measures such as improving the laboratory animal science and technology ethics review system, strengthening supervision and inspection, further strengthening the accountability of responsible entities, formulating review norms, and enhancing hierarchical and classified education and training are proposed, to provide a theoretical basis for promoting the normalized and long-term governance of laboratory animal science and technology ethics in Guangdong Province.

ObjectiveTo establish a model that can quickly identify the aroma components in different parts of Nardostachys jatamansi， so as to provide a quality control basis for the market circulation and clinical use of N. jatamansi. MethodsHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） combined with Smart aroma database and National Institute of Standards and Technology（NIST） database were used to characterize the aroma components in different parts of N. jatamansi， and the aroma components were quantified according to relative response factor（RRF） and three internal standards， and the markers of aroma differences in different parts of N. jatamansi were identified by orthogonal partial least squares-discriminant analysis（OPLS-DA） and cluster thermal analysis based on variable importance in the projection（VIP） value >1 and P<0.01. The odor data of different parts of N. jatamansi were collected by Heracles Ⅱ Neo ultra-fast gas phase electronic nose， and the correlation between compound types of aroma components collected by the ultra-fast gas phase electronic nose and the detection results of HS-SPME-GC-MS was investigated by drawing odor fingerprints and odor response radargrams. Chromatographic peak information with distinguishing ability≥0.700 and peak area≥200 was selected as sensor data， and the rapid identification model of different parts of N. jatamansi was established by principal component analysis（PCA）， discriminant factor alysis（DFA）， soft independent modeling of class analogies（SIMCA） and statistical quality control analysis（SQCA）. ResultsThe HS-SPME-GC-MS results showed that there were 28 common components in the underground and aboveground parts of N. jatamansi， of which 22 could be quantified and 12 significantly different components were screened out. Among these 12 components， the contents of five components（ethyl isovalerate， 2-pentylfuran， benzyl alcohol， nonanal and glacial acetic acid，） in the aboveground part of N. jatamansi were significantly higher than those in the underground part（P<0.01）， the contents of β-ionone， patchouli alcohol， α-caryophyllene， linalyl butyrate， valencene， 1，8-cineole and p-cymene in the underground part of N. jatamansi were significantly higher than those in the aboveground part（P<0.01）. Heracles Ⅱ Neo electronic nose results showed that the PCA discrimination index of the underground and aboveground parts of N. jatamansi was 82， and the contribution rates of the principal component factors were 99.94% and 99.89% when 2 and 3 principal components were extracted， respectively. The contribution rate of the discriminant factor 1 of the DFA model constructed on the basis of PCA was 100%， the validation score of the SIMCA model for discrimination of the two parts was 99， and SQCA could clearly distinguish different parts of N. jatamansi. ConclusionHS-SPME-GC-MS can clarify the differential markers of underground and aboveground parts of N. jatamansi. The four analytical models provided by Heracles Ⅱ Neo electronic nose（PCA， DFA， SIMCA and SQCA） can realize the rapid identification of different parts of N. jatamansi. Combining the two results， it is speculated that terpenes and carboxylic acids may be the main factors contributing to the difference in aroma between the underground and aboveground parts of N. jatamansi.

Objective To develop models for predicting response to chemotherapy combined with immunotherapy in patients with esophageal squamous carcinoma with various machine learning algorithms,and then select the optimal model.Methods A retrospective study was performed for 174 patients with esophageal squamous cell carcinoma undergoing chemotherapy combined with immunotherapy admitted in Department of Thoracic Surgery of the First Affiliated Hospital of Army Medical University from January 2022 to December 2023.The CT scans and clinical information were collected before treatment.They were randomly divided into a training set(n=122)and a testing set(n=52)in a ratio of 7∶3.CT radiomic features were extracted and selected,and then 5 machine-learning algorithms were employed to establish the prediction models,including radiomics model and clinical-radiomics model.Five-fold cross-validation was conducted on the training set,and the performance of the prediction models was evaluated on the testing set using receiver operating characteristic(ROC)curve and the F1 score.The best-performing model was further explained using local interpretable model-agnostic explanations(LIME)algorithm.Results Among the 174 patients,115(66.1%)achieved clinical remission.From the clinical information and CT images,1 clinical features and 10 radiomic features were identified.The area under of ROC curve(AUC)for the radiomics and clinical-radiomics models was 0.750(95%CI:0.616～0.883),and 0.766(95%CI:0.637～0.895),respectively.The F1 score of the optimal clinical-radiomics model was 0.829.LIME algorithm indicated that this best model demonstrated reliability in predicting individual samples.Conclusion The clinical-radiomics prediction model based on machine learning algorithm performs well,and can provide a reference for doctors'clinical decision-making by predicting the response to chemotherapy combined with immunotherapy in patients with esophageal squamous cell carcinoma.

Objective: To understand classroom environmental conditions and their association with spinal curvature abnormalities among students of primary and secondary schools in Guizhou Province, so as to provide a basis for formulating school health policies and scientific prevention and control measures for abnormal spinal curvature in students. Methods: Using a stratified random sampling method, 471 schools (2 811 classrooms) were selected annually across the province from 2022 to 2024 in order to monitor and evaluate classroom environment according to national standards. Spinal examinations were conducted for 196 606 (2022), 194 876 (2023), and 195 048 (2024) students, and χ 2 test was used to analyze the correlation of desk and chair compliance with student spinal curvature abnormalities. Results: The qualified rates of classroom blackboard illuminance uniformity ( 85.41 %) and the blackboard size (82.24%) were the highest in primary and secondary schools in Guizhou Province, while the average blackboard surface illumination qualified rate (20.10%) was the lowest. The average desk illumination (50.11%-58.63%), desk illumination uniformity (61.92%-72.27%) and qualified noise rate (50.04%-51.94%) increased significantly in 3 years; in addition, the compliance rate of desks and chairs decreased from 25.00% to 13.52%, and the differences were all statistically significant ( χ 2=42.48, 80.93, 46.09, 129.72, all P <0.05). Middle school classrooms outperformed primary schools in terms of per capita area, average blackboard illuminance, blackboard illuminance uniformity, average desktop illuminance, desktop illuminance uniformity, and noise compliance ( χ 2=311.55, 12.41, 20.64, 40.76, 10.25, 52.47), but had lower compliance for blackboard size and reflectance ( χ 2=537.29, 7.59) (all P <0.01). Urban schools had higher compliance than suburban schools for per capita area, average blackboard illuminance, average desktop illuminance, and desktop illuminance uniformity ( χ 2=73.71, 17.68, 29.30 , 36.03), but lower compliance for desk-chair suitability, blackboard size, and blackboard reflectance ( χ 2=4.72, 26.02, 5.43 ) (all P <0.05). The spinal curvature abnormality detection rate was 0.83%. A significant association was found between abnormality detection and desk-chair non compliance ( χ 2=223.85, P <0.01). Conclusions Classroom environment hygiene in Guizhou schools is suboptimal. Strengthening school environmental hygiene infrastructure and greater attention to its impact on student s health are essential.

Objective: To understand the epidemiological characteristics of abnormalities spinal curvature among children and adolescents in Karst landform in Guizhou Province, so as to provide a scientific basis for targeted comprehensive intervention. Methods: From September to December 2023, 194 875 children and adolescents aged 6-18 were selected from all countieldistricts of 9 cities (prefectures) in Guizhou Province by stratified random cluster sampling method according to the proportion of Karst landform area in Guizhou Province for carrying out spinal curvature abnormality screening, and a questionnaire survey was conducted on 139 449 students in the fourth grade and above of primary school. Binary Logistic regression was used for multivariate analysis. Results: The detection rate of abnormal spinal curvature among children and adolescents aged 6-18 in Guizhou Province was 1.13%. The detection rates of abnormal spinal curvature in areas with a high proportion of Karst landform, areas with a low proportion of Karst landform, intercalation areas, and nonKarst landform areas were 1.10%, 2.00%, 0.90%, and 0.60%, respectively. Among them, the detection rates of abnormal spinal curvature in female students (2.40%, 1.60%, 0.90%) in areas with a low proportion of Karst landform, intercalation areas and nonKarst landform were higher than those in male students (1.60%, 0.10%, 0.30) (χ2=12.66, 112.69, 30.22, all P<0.05). The detection rates of abnormal spinal curvature among senior high school students (2.00%, 4.30%, 1.40%, 1.30%) in different Karst landform distributions were successively higher than those among junior high school students (1.40%, 3.20%, 1.00%, 0.60%) and primary school students (0.70%, 0.80%, 0.60%, 0.30%) (χ2=306.11, 175.80, 14.24, 39.57, all P<0.05). The results of multivariate Logistic regression analysis showed that the detection rates of abnormal spinal curvature in both highproportion and lowproportion Karst landform areas were higher than those in nonKarst landform areas [OR(95%CI)=1.84(1.05-2.25), 1.60(1.23-2.09), both P<0.05]. Conclusion The detection rate of abnormal spinal curvature in children and adolescents aged 6-18 in Guizhou Province is related to the distribution of Karst landform, so it is necessary to strengthen screening and appropriate comprehensive interventions.

Objective To evaluate the application value of prone-position ultrasound in assessing retrorenal colon among patients scheduled for percutaneous nephrolithotomy(PCNL).Methods A total of 651 patients scheduled for PCNL were enrolled.All patients underwent preoperative supine-position computed tomography(CT)and prone-position ultrasound to assess retrorenal colon.Retro-renal colon was defined as segment of the colon located posterior to the kidney,with its inferior mar-gin extending beyond the lower pole of the kidney.The degree of coverage was classified as mild(≤3.0 cm),moderate(＞3.0 cm without extending beyond the renal hilum)and severe(extending be-yond the renal hilum).Patients diagnosed with retrorenal colon by ultrasound underwent further eval-uation using prone-position CT.Concordance between ultrasound and supine-position or prone-posi-tion CT in diagnosing and classifying retrorenal colon was compared,and the impact on puncture pathway selection and surgical approach was analyzed.Results Among 651 patients,prone-position ultrasound identified retrorenal colon in 57 patients,including 43 mild cases,11 moderate cases,and 3 severe cases.Prone-position CT identified retrorenal colon in 55 patients,including 42 mild cases,10 moderate cases,and 3 severe cases.Supine CT identified retrorenal colon in 26 patients,inclu-ding 23 mild cases,2 moderate cases,and 1 severe case.The detection rate of retrorenal colon by supine CT was significantly lower than that by prone-position ultrasound(P＜0.05).In 12 patients(4 mild cases,7 moderate cases,1 severe case),the puncture pathway was modified based on ultra-sound diagnosis,and 2 patients with severe involvement underwent a change in surgical approach.Conclusion Prone-position ultrasound demonstrates good agreement with prone-position CT in the assessment of retrorenal colon.

Children， as a special group， frequently experience of off-label drug use worldwide. Common reasons for off-label drug use in children include the lack of data on pediatric patients during the clinical trial stage of drug development， delayed updates to drug instructions， and the non-standard professional behavior of some doctors. Off-label drug use in children is a double-edged sword. It could save lives and provide a way to explore additional functions of drugs， while it may also lead to the phenomenon of hyper-indication abuse， increasing the risk of adverse drug events. Regulating off-label drug use in children can safeguard the best treatment rights and interests of children. It is recommended to encourage pharmaceutical enterprises to conduct research and development of pediatric new drugs， simplify the approval process for drug instructions amendments， accumulate evidence-based medical evidence for off-label drug use in children， standardize the process of off-label drug use in children in medical institutions， continuously improve the standardized diagnosis and treatment capabilities of pediatricians， and actively cooperate with the families of pediatric patients in diagnosis and treatment， so as to comprehensively safeguard the rights and interests of both doctors and patients.

Objective To evaluate the reporting quality and influencing factors of patient-reported outcome (PRO) data in randomized controlled trials (RCTs) of lung cancer. Methods RCTs of lung cancer with PRO as either primary or secondary endpoints were searched from PubMed, EMbase, Medline, CNKI, Wanfang Data, and VIP databases between January 1, 2010 and April 20, 2024. Reporting quality of included RCTs were assessed based on the CONSORT-PRO extension. Descriptive statistics and bivariate regression analysis were used to describe the reporting quality and analyze the factors influencing the reporting quality. Results A total of 740 articles were retrieved. After screening, 53 eligible RCTs of lung cancer with 22 780 patients were included. The patients were mainly with non-small cell lung cancer (84.91%), with the median sample size of the included studies was 364.0 (160.5, 599.5) patients. The primary PRO tool used was the EORTC QLQ-C30 (60.38%). There were 52 (98.11%) studies whose PRO measured the domain of "symptom management of cough, dyspnea, fatigue, pain, etc.", and 45 (84.91%) studies measured "health-related quality of life". Multicenter studies accounted for 84.91%, and randomized non-blind trials accounted for 62.26%. PRO was used as the primary endpoint in 33.96% of the studies and as secondary endpoints in 66.04%. The reliability and validity of the PRO tools were explicitly mentioned in 11.32% and 7.55% of the studies, respectively. The average completeness of reporting according to the CONSORT-PRO guidelines was 60.00%, ranging from 25.00% to 93.00%. The main factors affecting the completeness of CONSORT-PRO reporting included sample size and publication year. For every increment in sample size, the completeness of reporting increased by 27.5% (SE=0.00, t=2.040, P=0.046). Additionally, studies published after 2018 had a 67.2% higher completeness of reporting compared to those published in or before 2018 (SE=17.8, t=–3.273, P=0.006). Conclusion The study reveals that the overall reporting quality of PRO in lung cancer RCTs is poor. Particularly, the reporting of PRO measures reliability and validity, PRO assumptions, applicability, and handling of missing data need further improvement. Future research should emphasize comprehensive adherence to the CONSORT-PRO guidelines.

Objective To analyze the distribution characteristics and trends of occupational exposure types of medical radiation workers in Gansu Province, China, and to provide a basis for administrative departments to formulate and adjust radiation protection policies. Methods According to the radiation health information platform, the data of occupational exposure types of radiation workers in Gansu Province from 2014 to 2023 were obtained. The proportions of occupational exposure types in each physical examination year was statistically analyzed. Results From 2014 to 2023, the number of medical radiation workers accounted for more than 70% of the total number of radiation workers. The proportion of X-ray imaging diagnostic radiation workers in the total number of medical radiation workers gradually decreased but remained the highest, exceeding 68% annually. The proportion of interventional radiology workers in the total number of medical radiation workers increased from 13.8% to 25.5%. The proportions of radiation therapy and nuclear medicine workers in the total number of medical radiation workers increased slowly. The numbers of interventional radiology and radiotherapy workers in tertiary hospitals both accounted for more than 70% of the total number of such workers in the province. The proportion of interventional radiology workers increased and then decreased. The proportion of radiotherapy workers increased significantly from 70.5% to 93.0%. The number of nuclear medicine workers in tertiary hospitals accounted for more than 80% of such workers in the province. Conclusion Radiation protection policies and measures should be adjusted according to the changes in the types of occupational exposure. The focus of these policies and measures should differ depending on the level of healthcare institutions, the type of radiological diagnostic and therapeutic services, and the characteristics of various occupational exposure types .

This article systematically analyzes the historical evolution of the name， origin， quality evaluation， harvesting， processing and other aspects of Picrorhizae Rhizoma by referring to the medical books， prescription books， and other documents of the past dynasties， combined with relevant modern research materials， in order to provide a basis for the development and utilization of famous classical formulas containing this medicinal herb. The research results indicate that Picrorhizae Rhizoma was first recorded in New Revised Materia Medica from the Tang dynasty. Throughout history， Huhuanglian has been used as its official name， and there are also aliases such as Gehu Luze， Jiahuanglian and Hulian. The main source of past dynasties is the the rhizomes of Picrorhiza kurrooa and P. scrophulariiflora. In ancient times， Picrorhizae Rhizoma was mainly imported by foreign traders via Guangzhou and other regions， and also produced in China， mainly in Xizang. In ancient times， it was harvested and dried in early August of the lunar calendar， while in modern times， it is mostly harvested from July to September， with the best quality being those with thick and crispy rhizomes without impurities， and bitter taste. Throughout history， Picrorhizae Rhizoma was collected， washed， sliced， and dried before being used as a raw material for medicine， it has a bitter and cold taste， mainly used to treat bone steaming， hot flashes， infantile chancre fever， and dysentery. There is no significant difference in taste and efficacy between ancient and modern times. Based on the research results， it is recommended that the rhizomes of P. scrophulariiflora in the 2020 edition of Chinese Pharmacopoeia， or the rhizomes of P. kurrooa， can be used in famous classical formulas containing this medicinal herb， which can be processed according to the processing requirements marked by the original formula. For those without clear processing requirements， the dried raw products are used as medicine.