Background: High-mobility group box protein 1 (HMGB1) is a chromatin-binding protein involved in arthritis, ischemia, sepsis, atherosclerosis, neurodegenerative disorders, meningitis, and cancer. HMGB1 exhibits dual roles in cancer, acting as either a tumor suppressor or oncoprotein depending on context. Objective: This research aimed to elucidate HMGB1’s functional significance in cutaneous squamous cell carcinoma (cSCC). Methods: We overexpressed HMGB1 in cSCC cell lines using recombinant adenovirus and examined its effects on cell proliferation, colony formation, and cell migration. Results: Immunohistochemical analysis revealed elevated HMGB1 expression levels in cSCC tissue relative to normal epidermis. To assess the influence of HMGB1, we employed recombinant adenoviruses expressing HMGB1 to transduce SCC cell lines (SCC12 and SCC13). Enhanced HMGB1 expression significantly promoted cellular proliferation and colony formation capacity.Notably, HMGB1 overexpression elevated the levels of proliferation regulators, including P63, SOX2, CDK4 and CDK6. Furthermore, HMGB1 overexpression substantially enhanced tumor invasiveness, accompanied by upregulation of epithelial-mesenchymal transition (EMT) biomarkers. Mechanistically, overexpression of HMGB1 enhanced transforming growth factor-β signaling by increasing phosphorylation of SMAD2/3, the key mediators of EMT. Conclusion These data imply that HMGB1 acts as a tumor-promoting factor in cSCC.

Objective This study aimed to investigate the seasonal variation of mosquitoes in Yantai, Shandong Province, and provide a scientific basis for mosquito and mosquito-borne disease control. Methods From March to November for each of the years between 2020 and 2023, adult mosquitoes were collected from different habitats, including parks, hospitals, urban residential areas, rural households and livestock sheds, in 13 counties of Yantai City using a mosquito trap lamp method, among which, female mosquitoes were separated and identified, and the numbers were counted. We used the circular distribution method to analyze the temporal distribution characteristics of mosquito density. Results The γ values obtained for mosquitoes in Yantai from 2020 to 2023, the distribution of mosquitoes in different habitats, and dominant mosquito species in different months showed strong seasonality, with values ranging from 0.7461 to 0.8531(P ＜ 0.05). The peak period of seasonal variation in mosquitoes occurred from June 28thto September 13th, with August 5thbeing identified as the peak day. The peak periods of seasonal variation in mosquitoes in residential areas, parks, hospitals, peasant households, and animals sheds were observed from June 24thto September 14th, June 25thto September 10th, June 22ndto September 12th, July 1stto September 9th, and July 2ndto September 17th, respectively, with corresponding peak days on August 4th,3rd, 2nd, 5th, and 9th, respectively. The peak periods of Culex pipiens pallens, Aedes albopictus, and Anopheles sinensis were from June 26thto September 11th, June 28thto September 17th, and July 12thto September 17th, respectively, with corresponding peak days on August 3rd,7th, and 14th, respectively. Conclusions Our findings in this study revealed that the peak of mosquito activity in Yantai was concentrated in early August, with a peak period extending from June 28thto September 13th, and there were differences between different habitats(with peak periods for rural households and livestock sheds occurring later than those in residential areas, parks, and hospitals). Moreover, with respect to the mosquito species, populations of Cx. pipiens pallens and Ae. albopictus peaked earlier than those of An. sinensis. Based on these findings, we recommend that city-wide mosquito control work should commence in late June, and include appropriate early prevention and control measures for key habitats, such as livestock sheds, and dominant mosquito species, such as Cx. pipiens pallens, to minimize the density of mosquito vectors and the risk of disease transmission.

Objective To explore the correlation between serum ferritin and the risk of metabolic syndrome, and to provide evidence for the prevention and control of metabolic syndrome. Methods Data was from the Jiang'an District survey data of the Chinese Resident Nutrition and Health Monitoring Project in 2022. A total of 399 adult residents were selected as the study subjects and the investigation was performed by questionnaire, physical examination and biochemical testing. Statistical analysis was conducted by SAS 9.4 software, and the association between serum ferritin and metabolic syndrome was analyzed by using multivariate logistic regression. Results The prevalence of metabolic syndrome in the study population was 43.61%, and 39.04% after standrdization. With the increase of serum ferritin levels, the prevalence of metabolic syndrome gradually increased (P<0.05). Serum ferritin was positively correlated with WC, DBP, TG, FPG, hsCRP, and HbA1c, while negatively correlated with HDL-C (P<0.05). Multivariate logistic regression analysis showed that after adjusting for confounding factors, female serum ferritin was positively correlated with the prevalence of metabolic syndrome (OR=3.59，95% CI：1.72-7.46); however, male serum ferritin level was not correlated with the prevalence of metabolic syndrome (OR=2.02，95% CI：0.76-3.40). Conclusion The prevalence of metabolic syndrome among residents in Jiang'an District is relatively high. Serum ferritin is associated with various components of metabolic syndrome, and the high serum ferritin level in women is associated with a higher risk of metabolic syndrome.

Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27％.The number of HAI episodes was 38 032,and case prevalence rate was 1.38％.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66％to 2.35％.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65％.The most common infection site was the lower respiratory tract(44.66％),followed by the urinary tract(12.94％),surgical site(9.32％),upper respiratory tract(7.02％),and bloodstream infection(5.78％).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02％),department of neurosurgery(5.51％),and department(group)of hematology(5.34％).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10％)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76％),Pseudomonas aeruginosa(13.33％),Escherichia coli(12.79％),Acinetobacter baumannii(9.23％),and Staphylococcus aureus(7.88％).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71％.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18％.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46％.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.

Objective To evaluate the effectiveness of a blended teaching model integrating the HBOPPPS framework(Hybrid Bridge-in,Objectives,Pre-assessment,Participatory learning,Post-assessment,Summary)and the"Cloud-based PAD Class"(Presentation-Assimilation-Discussion)in online clinical clerkship teaching for palliative oncology.Methods A self-con-trolled trial was conducted in October 2023,involving 41 undergraduate students majoring in Food Hygiene and Nutrition(Grade 2021)from Kunming Medical University.Phase 1 implemented conventional online teaching(control group),while Phase 2 adopted the"HBOPPPS+Cloud-based PAD Class"blended approach(experimental group).Teaching effectiveness was assessed via post-class examination scores,classroom participation rates,and satisfaction surveys.Results The experimental group dem-onstrated significantly higher outcomes than the control group:examination scores(86.34±4.19 vs.80.02±3.63,P＜0.05),classroom participation(51.2％vs.12.2％,P＜0.05),and teaching satisfaction(95.1％vs.80.5％,P＜0.05).Conclu-sionThe"HBOPPPS+Cloud-based PAD Class"blended teaching model effectively enhances online clinical clerkship outcomes in palliative oncology,significantly improving students' learning initiative,engagement,and classroom participation.

Objective To carry out emergency medical system modification design for EC135 P3H helicopter without compromising the original airframe structure so as to enhance aeromedical rescue capabilities.Methods Firstly,the original cabin seats were removed and medical floor was installed in the cabin;secondly,the medical chair,medical stretcher trolley and its fixing components,storage boxes and oxygen cylinders were mounted onto the floor;finally,a medical equipment fixing frame was formed based on the original helicopter sill structure so as to accommodate medical devices such as defibrillators,ventilators and injection pumps.The modification design scheme had its effectiveness verified with overall aircraft load balance analysis,mechanical analysis,dynamic impact tests of seats and actual modification and flight tests.Results EC135 P3H helicopter proved to meet all the airworthiness certification requirements after emergency medical system modification.Conclusion The proposed modification scheme enables EC135 P3H helicopter to rapidly transition between standard and medical configurations,enhancing its emergency medical rescue capabilities and providing references for medical modifications of helicopters with similar configurations.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Objective To evaluate the effectiveness of a blended teaching model integrating the HBOPPPS framework(Hybrid Bridge-in,Objectives,Pre-assessment,Participatory learning,Post-assessment,Summary)and the"Cloud-based PAD Class"(Presentation-Assimilation-Discussion)in online clinical clerkship teaching for palliative oncology.Methods A self-con-trolled trial was conducted in October 2023,involving 41 undergraduate students majoring in Food Hygiene and Nutrition(Grade 2021)from Kunming Medical University.Phase 1 implemented conventional online teaching(control group),while Phase 2 adopted the"HBOPPPS+Cloud-based PAD Class"blended approach(experimental group).Teaching effectiveness was assessed via post-class examination scores,classroom participation rates,and satisfaction surveys.Results The experimental group dem-onstrated significantly higher outcomes than the control group:examination scores(86.34±4.19 vs.80.02±3.63,P＜0.05),classroom participation(51.2％vs.12.2％,P＜0.05),and teaching satisfaction(95.1％vs.80.5％,P＜0.05).Conclu-sionThe"HBOPPPS+Cloud-based PAD Class"blended teaching model effectively enhances online clinical clerkship outcomes in palliative oncology,significantly improving students' learning initiative,engagement,and classroom participation.

Objective To design a VR-based air evacuation training system for simulating the on-board medical treatment process during air evacuation.Methods A VR-based air evacuation training system was developed which used 3D modeling technology to construct models of the medical aircraft cabin,medical devices and virtual characters to achieve scene interaction.The hardware part of the system included server computers,training terminal computers,VR equipment,3D fusion projection equipment,motion capture equipment,etc.The software of the system was developed using C++,UE4 Blueprint and C# programming languages,including two modules for medical treatment unit and medical treatment training process evaluation.The efficacy of the system was verified by the trials in air evacuation.Results The system developed successfully simulated the scenarios of tracheal tube dislodgement and increased intracranial pressure in the scenario model of open severe craniocerebral injury.The expert evaluation showed that the system gained advantages in training efficiency,low cost,safety,sense of immersion and recorded the operation data in real time to optimize the follow-up training.Conclusion The system developed delivers a virtual training environment with high-fidelity replication of real-mission conditions,enabling whole-course and immersive air evacuation drills.[Chinese Medical Equipment Journal,2025,46(3):15-20]

In recent years, with the rapid development of artificial intelligence technology, the application of deep learning in the field of pathology has been continuously expanding. Particularly, the rise of multimodal data fusion methods has opened up new technical paths for the precise diagnosis, prognosis assessment, and individualized treatment of tumors. By integrating multi-level and multi-source data such as clinical information, pathological omics, molecular omics, and imaging omics, deep learning models can identify potential associated features and key biological mechanisms that are difficult to reveal by a single modality, thereby significantly improving the accuracy of disease classification and the scientific nature of risk stratification. This article systematically reviews the research progress of multimodal data fusion methods based on deep learning in the field of pathology in recent years, focuses on sorting out different types of fusion strategies, evaluates their advantages and challenges in practical clinical applications, and looks forward to future development trends.