Objective To examine the impact of extreme temperature and drought stress on the survival of Bulinus globosus, so as to provide the theoretical evidence for the genomic research of Bulinus in absence of reference genes. Methods B. globosus snail samples were collected from Kiwani Shehia in Pemba Island, Zanzibar, Tanzania, and offspring snails were obtained through laboratory breeding and reproduction. A total of 120 10-week-old B. globosus snails from the same generation were selected and randomly assigned into four groups, including the high-temperature drought (HD) group, normal temperature drought (D) group, low-temperature drought (LD) group, and the control (C) group, of 30 snails in each group. Snails in HD, D, and LD groups were placed in beakers containing dry soil at the bottom and subsequently housed in climate chambers at 35, 26 ℃, and 10 ℃, respectively, while snails in Group C were maintained in 500 mL petri dishes containing dechlorinated tap water at 26 ℃. Following 3 days of breeding, living snails in each group were collected, and soft tissues were dissected and isolated. Total RNA was extracted from snail soft tissues for library construction, followed by high-throughput sequencing on the Illumina HiSeq 4000 sequencing system. De novo transcriptome assembly was performed using the Trinity software, and the longest transcripts were selected as unigenes. Gene functional annotations of unigenes were conducted using the Diamond software against Gene Ontology (GO) knowledgebase, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway database, NCBI non-redundant (NR) protein sequences database, Protein Family (Pfam) database, and UniProtKB/Swiss-Prot (Swiss-Prot) knowledgebase. GO and KEGG enrichment analyses of differentially expressed genes (DEGs) were performed using the topGO and clusterProfiler software, respectively. In addition, four relevant genes were selected for validation using a real-time quantitative PCR (qRT-PCR) assay to verify the reliability of transcriptome sequencing results. Results Following 3 days of breeding, there were 7, 20, 28, and 30 survival B. globosus snails in HD, LD, D, and C groups, with corresponding survival rates of 23.33% (7/30), 66.67% (20/30), 93.33% (28/30), and 100.00% (30/30), respectively (χ² = 52.72, P < 0.001). De novo transcriptome assembly generated 176 942 unigenes, with annotation rates of 0.98%, 13.49%, 26.46%, 12.48%, and 14.39% against GO knowledgebase, KEGG pathway database, NR protein sequences database, Pfam database, and Swiss-Prot knowledgebase, respectively. There were 33 up-regulated and 72 down-regulated genes in Group D, 483 up-regulated and 815 down-regulated genes in Group HD, and 245 up-regulated and 172 down-regulated genes in Group LD relative to in Group C. Following removal of overlapping genes across groups and unmatched genes, 11 candidate genes were identified. GO and KEGG analyses revealed 3 heat shock protein (HSP)-related DEGs in these 11 candidate genes, which were annotated as HSP12.2, HSP70, and HSP20 genes and were all significantly up-regulated in each treatment group. Three immune and nervous system-related DEGs were identified, and were all significantly down-regulated in each treatment group, which were involved in the neural cell adhesion molecule L1-like protein pathway, fibrinogen binding protein pathway, and leukocyte elastase inhibitor-like protein pathway. qRT-PCR assay quantified that the expression trends of four genes related to temperature and drought stress across different treatment groups were highly consistent with transcriptome sequencing data. Conclusion The survival rate of B. globosus significantly reduces under combined stresses of extreme temperature and drought, possibly due to an imbalance in its cellular homeostasis regulatory system.

Objective: To investigate the prevalence of comorbidity of myopia, and overweight and obesity among primary and middle school students in Yanqing District, Beijing Municipality, so as to provide the evidence for \prevention and control of comorbidity. Methods: In September from 2020 to 2024, a stratified cluster sampling method was adopted annually to select primary, junior high school, senior high school, and vocational high school students in Yanqing District as survey subjects. Myopia was screened based on Screening Protocol for Myopia in Children and Adolescents. Height an weight were measured, and overweight and obesity were determined using the Screening for overweight and Obesity in School-Age Children and Adolescents. Results: A total of 9 883 individuals were surveyed, including 5 219 primary school students (52.81%), 2 486 junior high school students (25.15%), and 2 178 senior high school / vocational high school students (22.04%). There were 5 154 boys (52.15%) and 4 729 girls (47.85%). From 2020 to 2024, the numbers of primary and middle school students in Yanqing District with myopia, overweight, and obesity were 4 426, 1 897, and 3 164, respectively, with detection rates of 44.78%, 19.19%, and 32.01%. The detection rates of myopia, overweight, and obesity showed an increasing trend with the elevation of school stage (all P<0.05). The detection rate of myopia was higher in girls than in boys, while the detection rate of obesity was lower in girls than in boys (all P<0.05). There were 2 588 individuals with both myopia and overweight/obesity, representing a detection rate of 26.19%, which showed an increasing trend (P<0.05), rising from 25.04% in 2020 to 34.41% in 2024. The detection rates of comorbidity of myopia, and overweight and obesity among primary school, junior high school, and senior high school / vocational high school students were 13.22%, 36.93%, and 45.00%, respectively, showing an increasing trend with the elevation of school stage (P<0.05). The difference between genders was not statistically significant (P>0.05). Conclusions The detection rates of comorbidity of myopia, and overweight and obesity among primary and middle school students in Yanqing District is relatively high and shows an upward trend, with students in higher school stage being the key target group for prevention and control. It is recommended to strengthen health education on the co-prevention of multiple health issues and implement differentiated interventions based on school stages.

Objective To explore factors associated with early postoperative hormonal remission in patients with prolactinoma and to develop prediction models based on clinical and radiological features. Methods Data from 107 patients with prolactinoma who underwent transsphenoidal surgery at The First People’s Hospital of Huai’an, Nanjing Medical University between January 2020 and December 2024 was collected, included general clinical characteristics, preoperative laboratory indicators, and imaging features. Based on whether early postoperative prolactin (PRL) levels normalized, patients were divided into a remission group (n=76) and a non-remission group (n=31). Univariate logistic regression was used for preliminary evaluation of candidate variables, followed by LASSO regression for feature selection. Multiple machine learning models were constructed, including logistic regression, random forest, support vector machine, K-nearest neighbors, naive Bayes, decision tree, neural network, and gradient boosting decision tree (GBDT). All models were trained and evaluated using ten-fold cross-validation, with comprehensive assessment of model performance based on the area under the ROC curve (AUC), accuracy, sensitivity, specificity, precision, and F1 score. Results The maximum diameter of tumors in the non remission group was larger than that in the remission group (P=0.019), and the incidence of tumor stroke and preoperative PRL levels were significantly higher than those in the remission group (P＜0.001). Univariate analysis showed that sex, maximum tumor diameter, tumor stroke, and preoperative PRL levels were influencing factors for early postoperative hormone response in patients with prolactinoma (P＜0.05). The comparison results of machine learning models show that the neural network model performs the best (AUC=0.921) and has good clinical application value, followed by the GBDT model (AUC=0.893) and the support vector machine model (AUC=0.884). Other models also show certain predictive ability. Conclusions Sex, preoperative PRL levels, maximum tumor diameter, Hounsfield unit value, and tumor stroke are important factors affecting early hormone response after prolactinoma surgery. The machine learning model constructed based on the above variables has good predictive performance, and performs the best and has good clinical application value.

Objective To investigate the epidemiological characteristics of respiratory syncytial virus (RSV) infection in elderly patients at a hospital in Hengshui and its correlation with climatic and environmental factors. Methods A retrospective study was conducted on 826 elderly patients with RSV infection who were hospitalized in the Department of Respiratory and Critical Care Medicine Department of Hengshui People's Hospital from June 2022 to May 2024. Clinical data of the patients were collected. Based on the climatic and environmental data of the Hengshui region during the same period, the epidemiological characteristics of RSV in the elderly population were analyzed. Pearson analysis was used to examine the correlation between RSV incidence and climatic and environmental factors. Results Among the 826 elderly RSV infected patients, males (54.24%) had a higher incidence than females (45.76%). The age of onset was highest in elderly people aged ≥ 80 (39.47%), followed by the age group of 70-79 (32.08%). Cough (89.95%) and sputum (71.19%) were the main clinical symptoms of elderly RSV infected patients. 28.57% of the elderly patients with RSV infection had basic diseases, of which the patients with diabetes accounted for the highest proportion (12.35%), followed by cardiovascular diseases (10.41%). The proportion of patients with mixed infections reached 4.60%, and the proportion of patients with other systemic complications reached 1.69%. From the perspective of the season of onset, the number of elderly RSV cases was highest in spring and winter, accounting for 39.47% and 47.09%, respectively. The correlation analysis results showed that the number of elderly RSV cases was negatively correlated with average wind speed (r=-0.196), average temperature (r=-0.731), and average humidity (r=-0.729), and weakly positively correlated with average atmospheric pressure (r=0.085) (all P<0.05). Conclusion In the elderly population, RSV infection is more prevalent among males and the very old, with a higher incidence during the winter and spring seasons, and is closely related to climate changes in the Hengshui region.

ObjectiveTo investigate the current status of ethical sensitivity among clinical nursing interns in the context of artificial intelligence （AI） and analyze its influencing factors. MethodsAdopting mixed research methods and convenience sampling， a total of 237 nursing interns from a tertiary A hospital in Xi’an were selected as research subjects. Data were collected using a general information questionnaire and the Nursing Students’ Ethical Sensitivity Scale， and semi-structured interviews were conducted with 8 nursing interns. ResultsThe total score of ethical sensitivity among nursing interns was （33.98±6.32）， which was at a moderate level. Multiple linear regression analysis revealed that academic degree （undergraduate： β=0.147， P<0.05； postgraduate： β=0.139， P<0.05）， affinity for the nursing profession （β=0.118， P<0.05）， whether they had taken nursing ethics courses （β=-0.124， P<0.05）， and familiarity with artificial intelligence （β=-0.159，P<0.05） were influencing factors of ethical sensitivity among nursing interns. Four themes were extracted from semi-structured interviews， namely， the incomplete mastery of nursing ethics-related knowledge among nursing interns， weakened ethical sensitivity in the AI teaching scenario of nursing interns， insufficient professional identity affecting the development of nursing interns’ ethical sensitivity， and technological dependence leading to the lack of humanistic care among nursing interns. ConclusionEthical sensitivity of nursing interns represents a moderate level， primarily influenced by educational background， degree of fondness for the nursing profession， learning experience of nursing ethics courses， and familiarity with AI. Nursing educators and clinical administrators urgently need to establish a sustainable school-hospital collaborative model of nursing ethics education， attach importance to the cultivation of ethical awareness and value guidance for nursing interns， and strengthen the intensity and depth of nursing ethics education among nursing interns， thereby improving their level of ethical sensitivity in the context of AI.

The analysis presented here is based on the blood components of Guanxin Qiwei tablets, the key anti-atherosclerosis pathway of Guanxin Qiwei tablets was screened by network pharmacology, and the anti-atherosclerosis mechanism of Guanxin Qiwei tablets was clarified and verified by cell experiments. HPLC-Q-Exactive-MS/MS technique was used to analyze the components of Guanxin Qiwei tablets into blood, to determine the precise mass charge ratio of the compounds, and to conduct a comprehensive analysis of the components by using secondary mass spectrometry fragments and literature comparison. Finally, a total of 42 components of Guanxin Qiwei tablets into blood were identified. To better understand the interactions, we employed the Swiss Target Prediction database to predict the associated targets. Atherosclerosis (AS) disease targets were searched in disease databases Genecard, OMIM and Disgent, and 181 intersection targets of disease targets and component targets were obtained by Venny 2.1.0 software. Protein interactions were analyzed by String database. The 32 core targets were selected by Cytscape software. Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed in DAVID database. It was found that the anti-atherosclerosis pathways of Guanxin Qiwei tablets mainly include lipid metabolism and atherosclerosis and AGE-RAGE signaling pathway in diabetic complications and other signal pathways. The core targets and the core compounds were interlinked, and it was found that cryptotanshinone and tanshinone ⅡA in Guanxin Qiwei tablets were well bound to TNF, PPARγ, AKT1, PTG2 and other targets. The lipid metabolism and atherosclerotic pathway was verified using human hl-7702 hepatocytes. This study preliminarily identified the potential pharmacodynamic components of Guanxin Qiwei tablets in the treatment of AS diseases and predicted their pathways of action, and verified the relationship between regulating lipid metabolism and atherosclerosis of Guanxin Qiwei tablets in vitro, providing a reference for the further study of the pharmacodynamic material basis and mechanism of action of this prescription. This experiment was approved by the Medical Ethics Committee of Inner Mongolia Medical University (No. YKD202401262).

Objective To construction and investigate the application effect of auricular acupressure technology in patients with cough with different syndrome types.Methods From December 2022 to March 2023,the Delphi method was used to consult experts to form a technical scheme for auricular pressure in patients with cough with different syndrome types in the early and middle stages.122 patients with stage Ⅰ and stage Ⅱ lung cancer cough from the oncology department of 3 tertiary hospitals of Traditional Chinese Medicine in Beijing between July 2023 to January 2024 were randomly divided into an experimental group(61 cases)and a control group(61 cases).The experimental group referred to the constructed auricular acupressure technique program to identify and take acupoints,and the control group used the original auricular acupressure program for 7 d of continuous intervention.The changes in the scores of the Visual Analog Scale(VAS)and the scores of The MD Anderson Symptom Inventory for lung cancer(MDASI-LC)were observed in the 2 groups before and after the intervention.Results The final scheme included 3 first-level items,12 second-level items,and 14 third-level items.The 2 rounds of expert authority coefficients were 0.88,indicating a high degree of authority,and the Kendall harmony coefficients of the 2 rounds of correspondence were 0.170 and 0.130(P＜0.001),respectively,and the results tended to be consistent.A total of 122 patients completed the study.After intervention,the VAS score of cough severity in the experimental group was 3.0(2.0,3.0)points,which was lower than 3.0(3.0,4.0)points in the control group.The MDASI-LC score of the experimental group was 17.0(9.5,31.5)points,which was lower than 28.0(15.5,47.5)points in the control group,and the difference was statistically significant(P＜0.05).Conclusion The constructed auricular acupressure technique program has certain scientificity,and it can effectively relieve cough symptoms of stage Ⅰ～Ⅱ lung cancer patients,and the severity of symptom clusters has been improved,which provides the basis for TCM nursing intervention in cough symptoms of lung cancer patients.

AIM To establish an HPLC-MS/MS method for the simultaneous residue determination of 11 plant growth regulators(PGRs)in Renshen Guben preparations,and to conduct a risk assessment.METHODS The analysis was performed on a 40 ℃ thermostatic ACQUITY UPLC ? Waters HSS T3 column(2.1 mm×100 mm,1.8 μm),with the mobile phase of acetonitrile-0.1％formic acid(containing 5 mmol/L ammonium formate)flowing at 0.30 mL/min in a gradient elution manner,and electro spray ionization was employed in both positive and negative ion scanning,with multiple reaction monitoring mode.The chronic and acute exposure risk values of the detected PGRs were calculated and assessed based on residue levels,health guidance values,and exposure estimates.RESULTS Eleven PGRs exhibited good linear relationships within their own ranges(R2 ≥ 0.990),whose average recoveries were 70.0％-120.0％,with RSDs all below 12.0％.In both oral liquid and pill forms,mepiquat chloride showed the highest average residue levels,while sodium 5-nitroguaiacolate exhibited the highest acute risk value(0.765 7,0.908 1)and chronic risk value(0.023 1,0.027 0).CONCLUSION Although PGRs residues are detected in Renshen Guben preparations,all levels remained within safe limits.

Accurately assessing the level and content of consciousness in patients with severe brain injury is one of the major clinical challenges. Patients with prolonged disorders of consciousness (DoC) caused by various reasons including brain trauma, stroke, hypoxic encephalopathy, are increasing. Correct diagnosis of DoC is of great significance for individualized intervention, reasonable nursing, and reduction of incidence rate and disability rate. Neuroimaging plays an important role in the classification, treatment, and ethical management of prolonged DoC. The rapidly developing imaging technology and advanced data analysis have opened up new perspectives for detecting brain activity. However, selecting appropriate imaging and reasonable image interpretation from a large number of available imaging technologies is a challenge for clinicians. This article reviews the application progress of multimodal neuroimaging in the assessment of prolonged DoC, and the clinical relevance and translational potential of these advances in assessing DoC are also discussed.

BACKGROUND:Cervical spondylosis is a chronic degenerative disease that has become one of the most common and frequent diseases threatening human health.At present,the initial diagnosis of the cervical spine and its surrounding structures mainly relies on the interpretation of medical images by radiologists,which not only requires a high level of technical requirements for operators,but also has the disadvantages of strong subjectivity,high labor intensity,and low efficiency.With the rapid development of artificial intelligence technology,its powerful data processing and image recognition capabilities have shown broad application prospects in the medical field.Deep learning has also made certain progress in the research of spinal diseases.OBJECTIVE:To summarize the current status and research progress in the application of artificial intelligence technology in cervical spine imaging images in recent years,evaluating the performance of artificial intelligence models as well as future trends and challenges to be overcome.METHODS:The first author searched the relevant articles in WanFang,CNKI,and PubMed in June 2024.The Chinese search terms were"artificial intelligence,deep learning,cervical spine."English serach terms were"artificial intelligence,Al,cervical vertebrae,cervical."Finally,101 articles were included and analyzed.RESULTS AND CONCLUSION:(1)Artificial intelligence technology can realize automatic segmentation of cervical vertebrae and measurement of curvature change by segmentation,classification,landmarks recognition of medical image parts,detect cervical vertebral fracture,nerve root,and spinal cord type cervical spondylosis,identify cervical spine ossification of posterior longitudinal ligament,and predict post-surgery related risk factors and cervical vertebra maturation classification.(2)Although artificial intelligence technology has shown great potential in the field of cervical spine research,it is still in the early stages of exploration and rapid development,with unlimited room for development and innovation.