Objective: To evaluate the current situation of thermal environment in primary and secondary school classrooms during winter, and to analyze students thermal comfort needs, so as to provide a basis for improving classroom thermal environment. Methods: From December 16 to 26, 2024, a stratified cluster random sampling method was used to select 90 classrooms from 15 primary and secondary schools in centralized/air conditioned heating areas(Liaoning Province, Tianjin City, Shanghai City) and naturally ventilated areas(Anhui Province and Jiangxi Province)for on site environmental measurement. A questionnaire survey was conducted among 743 students. The differences between groups using the χ 2 test were compared. Based on actual measurement data, a predicted mean vote prepared percentage of dissatisfied (PMV-PPD) model for centralized/air conditioned classrooms and an adaptive model for naturally ventilated classrooms were established, and the thermal neutral temperature and comfort interval were calculated. Results: The average outdoor temperature during on site measurement was 4.00(0.20，7.00)℃. In classrooms with centralized or air conditioned heating systems, the measured average temperature was (19.33±2.59)℃, with a thermal comfort range of 20.35-25.35 ℃ and a thermal neutral temperature of 22.85 ℃. And 13.92% of students reported feeling cold, while 80.80% felt comfortable. In classrooms with natural ventilation, the measured average temperature was (12.26±1.83)℃, with a thermal neutral temperature of 19.67 ℃ and a thermal comfort range of 16.17-23.17 ℃. About 48.33% of students reported feeling cold, and 49.81 % felt comfortable.The results of univariate analysis showed that there were statistically significant differences in shoe thickness, temperature sensation, relative humidity sensation and wind speed sensation between centralized/air conditioned heating areas ( χ 2= 7.01 , 31.47, 13.57, 13.80,all P <0.05). There were also statistically significant differences in school stage for primary and secondary school students, body mass index, classroom location for seat, temperature sensation, relative humidity sensation and wind speed sensation between naturally ventilated areas ( χ 2=42.13, 11.13, 11.04, 60.39, 29.27, 38.46,all P <0.05). Conclusions There are differences in thermal environment and students subjective thermal comfort in primary and secondary schools under different ventilation modes in winter. The temperature standards for heated classrooms should be revised, and differentiated environmental regulation strategies should be adopted based on different ventilation methods to improve students health and comfort levels.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Objective This study aimed to investigate the genetic diversity, differentiation, and population structure of Aedes albopictus across different geographical regions in Shandong Province, and to explore the relationship between genetic diversity and geographical distribution. Methods Between July and August 2024, ten Ae. albopictus populations were sampled from seven cities in Shandong Province. Genomic DNA was extracted from individual mosquitoes, and the mitochondrial cytochrome c oxidase subunit I(COⅠ)gene was amplified using PCR and sequenced. The obtained sequences were verified using BLAST and analyzed with MAFFT, MEGA 11, DnaSP v6.12, Arlequin 3.5, PopART 1.7, STRUCTURE 2.3.4 and the R packages adegenet and vegan to assess genetic diversity and population structure. Results A total of 229 COⅠ sequences(662 bp) was obtained, revealing ten variable sites with no insertions or deletions. The overall base composition showed an AT bias of 67.7%. Haplotype analysis identified 11 haplotypes, with Hap2 being the dominant and most widely distributed haplotype across all populations. Neutrality tests showed significant population expansion only in the Rizhao population. Mantel testing result revealed that geographical distance does not significantly impede gene flow. Overall, genetic differentiation among populations was low, indicating frequent gene flow. When combined with additional samples from Shanghai, Fujian, Guangdong, Yunnan, Hainan and Guangxi, STRUCTURE, UPGMA and DAPC analyses revealed two primary genetic clusters of Ae. albopictus. Conclusions Ae. albopictus populations in Shandong Province exhibit frequent gene flow, low genetic differentiation, and relatively low overall genetic diversity. However, the Rizhao population showed signs of recent expansion, highlighting the need for enhanced surveillance and targeted control measures in this area.

OBJECTIVE To provide guidance for pharmaceutical care in patients with severe Cryptococcus gattii infections.METHODS Clinical pharmacists participated in the diagnosis and treatment of a male patient with disseminated Cryptococcus gattii infection （involving the lungs and central nervous system）. Given the patient’s poor response to initial therapy， the clinical pharmacists， based on antimicrobial susceptibility test results， recommended voriconazole as an alternative azole. In response to refractory hypokalemia caused by liposomal amphotericin B， the clinical pharmacists assisted the physician in developing an intensive potassium replacement regimen. Regarding the interaction between voriconazole and nifedipine， the clinical pharmacists proactively identified the risk and intensified monitoring of the patient’s blood pressure. In response to the onset of hepatitis C during treatment， the clinical pharmacists thoroughly weighed the priority of infection treatment and recommended temporarily postponing antiviral therapy for hepatitis C. For the individualized use of voriconazole， the clinical pharmacists repeatedly performed therapeutic drug monitoring （TDM）. Regarding the patient’s poor lesion resolution， the clinical pharmacists participated in multidisciplinary team discussions to clarify the indications for surgery.RESULTS The physician adopted the clinical pharmacists’ recommendations. Following pharmacological treatment and surgical intervention， the patient’s condition stabilized， and he was discharged while still on medication.CONCLUSIONS For severe Cryptococcus gattii infections， clinical pharmacists should focus on pathogen characteristics， strengthen adverse reaction management， pay close attention to drug interactions， conduct TDM， and actively participate in multidisciplinary team collaboration to ensure the safety and efficacy of patient treatment.

By reviewing the physical biological research on the activation of acupoint effects by acupuncture， this paper explains the activation mechanism from the perspective of the generation and transmission of mechanical signals caused by acupuncture， and reveals the physical-chemical coupling processes in the acupoint microenvironment. Future research should focus on locally mechanosensitive cells， further exploring how acupuncture mechanical signals trigger dynamic changes in cells and molecules in the acupoints， and the physical-chemical information transduction mechanism， which will provide scientific evidence for the acupoint activation during acupuncture. Related studies will contribute to a deeper understanding of the scientific principles behind acupuncture and promote its clinical application and development.

Objective To propose a framework for risk assessment and stepwise management of pulmonary nodules based on existing guidelines and key studies, and to clarify the boundaries for triage, workup escalation, and referral in different detection scenarios. Methods A problem-oriented evidence synthesis approach was used, prioritizing Chinese expert consensus, Fleischner Society Guidelines, British Thoracic Society (BTS) Guidelines, and Lung-RADS. This was supplemented by studies on risk models, imaging measurements, liquid biopsy, tissue sampling, and surgical treatments. This paper is not presented as a formal consensus or a validated clinical pathway. Results A three-tiered framework consisting of basic non-invasive assessment, advanced assessment, and invasive diagnosis was established. It specified the applicable populations, boundaries for the use of risk models, imaging review, management of conflicting results, evaluation of histopathological consistency, and post-intervention follow-up. Liquid biopsy, genetic testing, and artificial intelligence were defined as investigational or adjunctive tools. Conclusion This framework can serve as a preliminary reference for multidisciplinary teams in developing local protocols. It cannot replace applicable guidelines, pathological diagnosis, shared decision-making with patients, or real-world validation.

Objective:To evaluate the effect of Bu-Zhong-Yi-Qi-Tang (BZYQT) combined with low molecular weight heparin (LMWH) on lower limb deep vein thrombosis (DVT) after fracture fixation in aged rabbits.Methods:Thirty-two elderly New Zealand rabbits of either sex, aged 36 months, weighing 3.5-4.0 kg, were divided into 4 groups ( n=8 each) using the random number table method: control group (C group), fracture fixation group (F group), low molecular weight heparin group (L group) and BZYQT combined with LMWH group (BL group). A model of fixation surgery for right femoral shaft fracture was established in anesthetized rabbits in F, L and BL groups. Starting from postoperative day 1, BL group received BZYQT at 3.6 ml/kg via gavage, F and L groups received normal saline at 3.6 ml/kg via gavage, L and BL groups received subcutaneous injection of LMWH at 200 IU/kg, and all the administrations were performed daily at 08: 00 for 7 consecutive days. On postoperative day 7, ultrasound examination was performed to assess lower limb DVT. Blood samples were collected from the marginal ear vein for determination of the serum concentrations of cortisol (COR), tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6) and endothelin-1 (ET-1) by enzyme-linked immunosorbent assay. Femoral vein specimens were obtained under anesthesia for microscopic examination of the pathological changes of the femoral vein lumen and endothelial tissues (by HE staining) and of the morphology of vascular endothelial cells (by the transmission electron microscopy). Results:Compared with C group, the concentrations of serum COR, TNF-α, IL-6 and ET-1 were significantly increased in F, L and BL groups, and the incidence of lower limb DVT within 7 days after surgery was significantly increased in F and L groups ( P<0.05). Compared with F group, the incidence of lower limb DVT within 7 days after surgery was significantly decreased in L and BL groups, and the concentrations of serum COR, TNF-α, IL-6 and ET-1 were significantly decreased ( P<0.05), and the pathological damage was significantly reduced in BL group. Compared with L group, the incidence of lower limb DVT and concentration of IL-6 were significantly decreased ( P<0.05), and pathological damage was significantly alleviated in BL group. Conclusions:BZYQT combined with LMWH can prevent the occurrence of lower limb DVT after fracture fixation in aged rabbits.

Objective:To analyze the efficacy of total knee arthroplasty (TKA) with partial varus retention in the treatment of moderate knee varus.Methods:A retrospective analysis was conducted on the data of 613 osteoarthritis patients with moderate knee varus who underwent TKA at the First Affiliated Hospital of Nanjing Medical University from January 2010 to October 2019. According to whether a 2°-3° of knee varus was retained, the patients were divided into the retained varus group and the mechanical alignment group. The retained varus group included 318 cases, with 63 males and 255 females, aged 68.51±6.95 years (range, 46-86 years), and BMI of 26.99±3.66 kg/m 2 (range, 17.40-39.01 kg/m 2). Preoperative Kellgren-Lawrence (K-L) classification of knee osteoarthritis was grade III in 113 cases and grade IV in 205 cases. The mechanical alignment group included 295 cases, with 75 males and 220 females, aged 69.60±7.12 years (range, 52-87 years), and BMI of 26.95±3.94 kg/m 2 (range, 16.60-41.90 kg/m 2). Preoperative K-L classification was grade III in 102 cases and grade IV in 193 cases. Surgical duration, total blood loss, preoperative and postoperative varus angle, lower limb swelling on the fifth postoperative day, and postoperative complications were recorded. Follow-up were arranged at 3 months, 6 months, 1 year, and 5 years postoperatively. At each follow-up point, the visual analogue score (VAS) for knee pain, Hospital for Special Surgery (HSS) score, Forgotten Joint Score (FJS-12), and MOS item short-form health survey (SF-36) were assessed. Results:All 613 patients were successfully followed up, with a follow-up period of 5.25±1.02 years (range, 5.0-6.0 years). There were no statistically significant differences in gender, age, BMI, and K-L classification between the two groups ( P>0.05). The differences in postoperative varus angle, VAS scores, and HSS score were statistically significant from the preoperative values in both groups( P<0.05). The surgical duration of the retained varus group was 77.40±18.55 min, total blood loss was 920.78±407.26 ml, and lower limb swelling on the fifth postoperative day was 1.18±0.51 cm, all of which were lower than those in the mechanical alignment group: 85.31±22.15 min, 1127.14±580.08 ml, 3.22±0.52 cm, respectively, with statistically significant differences ( P<0.05). The VAS scores at postoperative day 5 and 3 months in the retained varus group were 5.08±0.72 and 2.18±1.09, respectively, which were lower than those in the mechanical alignment group: 5.80±0.81, 3.00±1.04, with statistically significant differences ( P<0.05). There were no statistically significant differences in VAS scores at 6 months, 1 year, and 5 years postoperatively between the two groups ( P>0.05). The HSS scores at 3 months and 6 months postoperatively in the retained varus group were 68.57±4.98 and 79.04±3.26, respectively, which were higher than those in the mechanical alignment group: 64.14±3.99, 77.73±4.04, with statistically significant differences ( P<0.05). There were no statistically significant differences in HSS scores at 1 year and 5 years postoperatively between the two groups ( P>0.05). The FJS-12 scores at 3 months and 6 months postoperatively in the retained varus group were 18.06±3.50 and 27.50±1.80, respectively, which were higher than those in the mechanical alignment group: 13.45±2.44, 24.23±1.59, with statistically significant differences ( P<0.05). There were no statistically significant differences in FJS-12 scores at 1 year and 5 years postoperatively between the two groups ( P>0.05). The SF-36 scores at 3 months and 6 months postoperatively in the retained varus group were 40.85±8.07 and 52.15±6.01, respectively, which were higher than those in the mechanical alignment group: 35.87±6.83, 47.28±5.38, with statistically significant differences ( P<0.05). There were no statistically significant differences in SF-36 scores at 1 year and 5 years postoperatively between the two groups ( P>0.05). The incidence of deep vein thrombosis in the lower limbs was 3.8% (12/318) in the retained varus group, which was lower than the 7.8% (23/295) in the mechanical alignment group, with a statistically significant difference ( P<0.05). Conclusion:In osteoarthritis patients with moderate knee varus undergoing TKA, retaining approximately 3° of varus can reduce surgical trauma and total blood loss, shorten surgical duration, alleviate postoperative pain and limb swelling, facilitate functional recovery, and improve patient satisfaction.

Objective To explore the value of low contrast dose and low flow rate one-stop craniocervical CT angiography(CT A)-cerebral CT perfusion(CTP)for detecting carotid atherosclerosis(CAS).Methods Totally 117 CAS patients were prospectively enrolled and divided into group A(n=19),B(n=52),C(n=46),and low contrast dose and low flow rate one-stop craniocervical CTA-brain CTP scanning,low contrast dose and low flow rate craniocervical CT A scanning,as well as conventional craniocervical CT A scanning were performed,respectively.Virtual monoenergetic images(VMI)of 40,50 and 60 keV were reconstructed in group A and B.The subjective and objective evaluations of image quality were compared among 3 groups.Results Subjective scores of image quality and diagnostic confidence of 40 and 50 keV VMI,and the diagnostic confidence of 60 keV VMI in group A and B were not significant different compared with those in group C(all P＞0.05).Signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)of each segment of craniocervical blood vessels at 40 and 50 keV VMI in group A and B were all higher than those in group C(all P＜0.05).CNR of cavernous sinus segment of internal carotid artery(C5 segment),horizontal segment of middle cerebral artery(MCA)(A1 segment),lateral sulcus segment of MCA(M2 segment)and basilar artery(BA)segment in group A at 60 keV VMI were all higher than those in group C(all P＜0.05).SNR of C5 segment,A1 segment and BA segment,as well as CNR of BA segment of 60 keV VMI in group B were all higher than those in group C(all P＜0.05).Conclusion Low contrast dose and low flow rate one-stop craniocervical was feasible for detecting CAS.

Objective To construct a hypertension structured database based on Yi-9B large language model by aiming at the large amount of unstructured data generated in the process of hypertension diagnosis and treatment in order to elevate the efficiency of data management and provide the support for clinical deci-sion-making.Methods The key clinical informations of 114 369 patients with hypertension visiting in the Sec-ond Affiliated Hospital of Army Medical University during 2014-2023 were extracted.The Yi-9B large lan-guage model was used for conducting the entity identification and data structuring,and the database architec-ture was designed for statistical analysis and clinical application.Results After the database structuring process,the mean values of systolic and diastolic blood pressure were(149.98±20.55)mmHg and(86.90±13.75)mmHg,respectively.According to the classification of blood pressure level,the proportions of the nor-mal high value for high risk,very high risk of hypertension grade 1,and very high risk of hypertension grade 2 were the highest,which accounted for 20.73％,27.80％and 19.59％respectively.52.64％of the patients were complicated with heart disease,10.18％with complicating diabetes and 12.71％with complicating hy-perlipidemia.Logistic regression analysis showed that＞50-60 and＞60-70 years old was the high incidence age segment,moreover the systolic blood pressure showed an increasing trend with the age increase,reflecting the universality of hypertension in aging.This database significantly improved the efficiency of diagnosis and treatment in clinical application and realized the efficient analysis and management of data.Conclusion The hyper-tension structured database based on Yi-9B large language model effectively processes the unstructured data,significantly improves the efficiency of data extraction and management,helps to optimize the diagnosis and treatment decision-making,improves the management efficiency and provides the support for intelligent man-agement and personalized diagnosis and treatment.