Background The moderation role of environmental factors in the spread of hand-foot-and-mouth disease (HFMD) has attracted much attention, but the existing conclusions are inconsistent. For example, some scholars believe that high temperature, high humidity, and high concentrations of fine particulate matter (PM_2.5) and nitrogen dioxide (NO₂) increase the risk of HFMD, but other scholars have reached the opposite conclusion, or believe that there is no significant relationship. Objective Based on distributed lag nonlinear model (DLNM), to investigate the relationship between the incidence of HFMD and meteorological and air pollutant variables in Lianyungang City, and to provide scientific basis for early warning. Methods Daily data of meteorological factors and air pollutants in Lianyungang City from 2021 to 2024 were retrieved. Meteorological factors included average daily temperature, average wind speed, average air pressure, and relative humidity. Air pollutant indicators included PM_2.5, inhalable particulate matter (PM₁₀), carbon monoxide (CO), sulfur dioxide (SO₂), NO₂, and ozone (O₃). Spearman correlation analysis was used to analyze their correlations with HFMD, and the R package (version 4.3.1) dlnm was used to construct a DLNM model. Results During the study period, a total of 10503 cases were reported, with a male to female ratio of 1.47∶1 and the highest proportion of scattered children (49.97%). The Spearman correlation analysis results showed that daily average temperature (r=0.40), relative humidity (r=0.17) and O₃ (r=0.14) were positively correlated with the incidence of HFMD (all Ps<0.01), while average air pressure (r=−0.34), PM_2.5 (r=−0.24), PM₁₀ (r=−0.24), CO (r=−0.22), and NO₂ (r=−0.06) were negatively correlated with it (all Ps<0.05). There was no statistical relationship of SO₂ and average wind speed with the incidence of HFMD (both Ps>0.05). The cumulative risk effect was greatest when the daily average temperature was 28.50 ℃ (CRR=4.63, 95%CI: 2.68, 8.01). The average wind speed below 0.50 m·s⁻¹ and in the range of 2.50-3.50 m·s⁻¹ showed an acute risk effect, and low pressure (below 1016.00 hPa) could immediately increase the risk of the disease. The cumulative risk effect was greatest when the relative humidity was 100% (CRR=3.16, 95%CI: 1.77, 5.65). The greatest cumulative protective effects of PM_2.5 and PM₁₀ were present at concentrations of 158.00 μg·m⁻³ (CRR=0.12, 95%CI: 0.01, 0.99) and 561.50 μg·m⁻³ (CRR=0.01, 95%CI: 0.01, 0.99) respectively. The protective effect of CO was the strongest at the highest concentration (67.00 μg·m⁻³) (RR=0.67, 95%CI: 0.34, 0.64). The cumulative protective effects of SO₂ and NO₂ were both most significant at the concentration of 0.50 μg·m⁻³. Low concentrations of O₃ (below 48.00 μg·m⁻³) showed a risk effect, and the single-day protective effect was significant when the concentration was 141.00 μg·m⁻³. Conclusion There is a nonlinear and hysteretic relationship between environmental factors and the incidence of HFMD. A rational and efficient early warning and prevention and control system can be constructed accordingly.

The functional realization of proteins and other biological macromolecules depends on conformational dynamics and allosteric regulation, and elucidating their molecular mechanisms is an important foundation for understanding life processes. Molecular dynamics simulations are a powerful tool for investigating conformational evolution at the atomic level. However, traditional methods are limited by simulation timescales and high free-energy barriers, making it difficult to effectively capture rare conformations and their transition pathways. As a result, the development of enhanced sampling techniques has become key to overcoming this bottleneck. As a classical enhanced sampling technique, metadynamics suffers from several shortcomings, including strong dependence on collective variables and significant errors caused by bias potential accumulation. This article reviews three major improvement strategies. The first combines stochastic resetting with metadynamics, using trajectory-resetting mechanisms to improve sampling efficiency while avoiding the difficulty of optimizing collective variables. The second, SinkMeta, employs a “sinking” bias effect to enable efficient exploration of specific regions and paths. The third, OPES-based hybrid methods, improve the stability of free-energy estimation by optimizing the target distribution or the way the bias is constructed. These methods provide new ideas for characterizing free-energy landscapes and studying conformational transitions in complex biological systems, while also promoting the continued development of enhanced sampling methodologies.

The method of promoting blood circulation and removing blood stasis holds a significant position in the theoretical frame-work of traditional Chinese medicine(TCM)for cancer treatment.However,the impact of blood-activating and stasis-eliminating herbs on tumor metastasis remains a subject of clinical uncertainty,which has drawn considerable attention to research on their effects.Based on TCM's understanding of the etiology and pathogenesis of tumors,this article elaborates on the molecular mechanisms through which blood-activating and stasis-eliminating Chinese herbs and their active components influence tumor metastasis.This in-cludes their roles in affecting tumor angiogenesis,inducing normalization of tumor blood vessels,and interfering with the Warburg effect in tumor cells.The findings provide a scientific basis for the anti-tumor theory of the blood-activating and stasis-eliminating ap-proach.

Objective To summarise the best evidence on non-pharmacological management in children and to provide evidence-based guidelines for clinical practice.Methods With the 6S evidence pyramid model,a comprehensive and systematic search across multiple databases was conducted,including UpToDate,BMJ Best Practice,Joanna Briggs Institute of Australia's Centre for Evidence-based Health Care Database(JBI),National Guideline Clearing-house(NGC),Guidelines International Network(GIN),The National Institute for Health and Care Excellence(NICE)website,Scottish Intercollegiate Guidelines Network(SIGN),American Dental Association,Canadian Dental Association,Cochrane Library,CINAHL,Embase,PubMed,SinoMed,CNKI and Wanfang Data.The search focused on literature pertaining to the improvement of non-pharmacological strategies for compliance with paediatric oral treatment,encompassing clinical decisions,evidence summaries,clinical guidelines,systematic reviews,expert consensus,best practices,and randomised controlled trials.The literature search encompassed all available publications from the inception of databases up to 5th November,2023.A quality assessment of the literature was independently conducted by four researchers trained by evidence-based nursing courses,while evidence extraction and summarisation were handled by two researchers.Results A total of 16 papers were included,comprising 2 clinical decisions,2 evidence summaries,3 guidelines,5 systematic evaluations,1 best practice,2 expert consensus and 1 randomised controlled trial.Nineteen pieces of evidence were extracted and classified into six categories:outpatient setting,assessment and management of children,pre-treatment non-pharmacological management,in-treatment non-pharmacological management,post-treatment non-pharmacological management and training and assessment.Conclusion This study summarises the best evidences for non-pharmacological management aiming to improve the oral treatment compliance in children.Healthcare providers can facilitate the translation of this evidence into clinical practice by considering the specific clinical context as well as factors such as the age and psychological characteristics of children.

Objective:To develop a tool package that meets the routine statistical analysis requirements of population-based cancer registries in China based on R language, with the aim of improving data quality and efficiency, and promoting the nationwide scientific utilization of cancer registry data.Methods:The functional demands for statistical analysis of population-based cancer registry staff were collected through questionnaires or face-to-face interviews. Based on the concept of generic functions in R software's S3 object system, functions were developed by defining specific S3 classes for different data types, allowing the same function to perform diverse tasks depending on the class of input data. A stepwise development strategy was adopted to ensure logical coherence among functional modules, and all functions were systematically tested and validated in accordance with standard R package development guidelines.Results:Six categories of functions, including data reading, data manipulation, data processing, statistical calculation, visualization, and statistical reporting, were developed to support routine statistical analysis of population-based cancer registry data. Data reading functions support reading data formats required by the National Cancer Registry. Data manipulation functions empower conditional filtering of registry data and support regrouping, merging, or transforming the data based on registry attributes (such as urban/rural location) to accommodate different analytical needs. Data processing functions includes age grouping, International Classification of Diseases 10 th Revision (ICD-10) classification, childhood cancer classification, and population estimation. Statistical calculation functions permit the calculation of age-standardized rates, truncated rates, cumulative rates, cumulative risks, life tables, and expansion from abridged to complete life tables. Visualization functions can generate commonly used statistical charts, including population pyramids, bar charts, and line graphs. Statistical reporting functions can integrate key indicators, charts, and narrative descriptions into comprehensive cancer registry reports. Conclusion:An R package named Canregtools was developed based on the concept of S3 generic functions. This package is free of charge, open-source, and highly efficient. It can meet the diversified needs in cancer registry data analysis, visualization, and reporting through standardized data processing workflows, thereby enhancing the quality and efficiency of routine statistical analysis in population-based cancer registries in China.

The method of promoting blood circulation and removing blood stasis holds a significant position in the theoretical frame-work of traditional Chinese medicine(TCM)for cancer treatment.However,the impact of blood-activating and stasis-eliminating herbs on tumor metastasis remains a subject of clinical uncertainty,which has drawn considerable attention to research on their effects.Based on TCM's understanding of the etiology and pathogenesis of tumors,this article elaborates on the molecular mechanisms through which blood-activating and stasis-eliminating Chinese herbs and their active components influence tumor metastasis.This in-cludes their roles in affecting tumor angiogenesis,inducing normalization of tumor blood vessels,and interfering with the Warburg effect in tumor cells.The findings provide a scientific basis for the anti-tumor theory of the blood-activating and stasis-eliminating ap-proach.

Paraplegia caused by spinal cord injury is a serious neurological complication, for which surgery is currently the main treatment method. Due to different surgical approaches, patients are usually expected to maintain a passive prone position for a long time or switch between the supine and prone positions. Affected by multiple factors such as neurogenic sensory disorders, pathological changes in muscle tone and operative duration, the risk of intraoperative acquired pressure injury (IAPI) is significantly increased. Current clinical prevention strategies for IAPI in these patients predominantly focus on localized pressure relief during positioning, lacking systematic, standardized comprehensive prevention protocols or evidence-based guidelines. To address it, Department of Nursing, Orthopedics Branch, China International Exchange and Promotive Association for Medical and Health Care, Spinal Trauma Professional Committee, Orthopedics Branch, Chinese Medical Doctor Association, Nursing Group of Spine and Spinal Cord Professional Committee of Chinese Association of Rehabilitation Medicine organized experts in relevant fields to formulate Guideline for the prevention of intraoperative acquired pressure injury in paraplegic patients with spinal cord injury ( version 2025), based on evidence-based medical evidence and latest research results and clinical practice at home and abroad. Eleven recommendations were put forward from the aspects of preoperative risk assessment, intraoperative prevention strategies, postoperative handover and monitoring, and supportive mechanisms for IAPI prevention, aiming to standardize the prevention measures and management strategies of IAPI in paraplegic patients with spinal cord injury and accelerate the recovery of patients and improve the therapeutic effect.

Objective:To develop a tool package that meets the routine statistical analysis requirements of population-based cancer registries in China based on R language, with the aim of improving data quality and efficiency, and promoting the nationwide scientific utilization of cancer registry data.Methods:The functional demands for statistical analysis of population-based cancer registry staff were collected through questionnaires or face-to-face interviews. Based on the concept of generic functions in R software's S3 object system, functions were developed by defining specific S3 classes for different data types, allowing the same function to perform diverse tasks depending on the class of input data. A stepwise development strategy was adopted to ensure logical coherence among functional modules, and all functions were systematically tested and validated in accordance with standard R package development guidelines.Results:Six categories of functions, including data reading, data manipulation, data processing, statistical calculation, visualization, and statistical reporting, were developed to support routine statistical analysis of population-based cancer registry data. Data reading functions support reading data formats required by the National Cancer Registry. Data manipulation functions empower conditional filtering of registry data and support regrouping, merging, or transforming the data based on registry attributes (such as urban/rural location) to accommodate different analytical needs. Data processing functions includes age grouping, International Classification of Diseases 10 th Revision (ICD-10) classification, childhood cancer classification, and population estimation. Statistical calculation functions permit the calculation of age-standardized rates, truncated rates, cumulative rates, cumulative risks, life tables, and expansion from abridged to complete life tables. Visualization functions can generate commonly used statistical charts, including population pyramids, bar charts, and line graphs. Statistical reporting functions can integrate key indicators, charts, and narrative descriptions into comprehensive cancer registry reports. Conclusion:An R package named Canregtools was developed based on the concept of S3 generic functions. This package is free of charge, open-source, and highly efficient. It can meet the diversified needs in cancer registry data analysis, visualization, and reporting through standardized data processing workflows, thereby enhancing the quality and efficiency of routine statistical analysis in population-based cancer registries in China.

AIM:To investigate the antitumor activity and targets of baicalein(Bai)in pancreatic cancer using network pharmacology combined with in vitro and in vivo experiments.METHODS:The targets of Bai and pancreatic can-cer were analyzed via multi-data screening.A protein-protein interaction network was constructed using STRING,and core targets were identified via Cytoscape.Functional enrichment was analyzed by Gene Ontology(GO)and Kyoto Ency-clopedia of Genes and Genomes(KEGG).Antitumor effects of Bai were assessed in pancreatic cancer cells Aspc-1 and Bxpc-3 using MTT and colony formation assays for proliferation,flow cytometry for apoptosis and cell cycle analysis,and Transwell assays for migration and invasion.A xenograft tumor model was established to evaluate tumor proliferation,im-munohistochemistry was performed to detect the protein expression of AKT in tumor tissues,and Western blot was used to analyze the expression levels of AKT,β-catenin,N-cadherin and Slug.RESULTS:A total of 108 overlapping targets were identified between Bai and pancreatic cancer.Among these,7 core targets were recognized,including proto-onco-gene tyrosine-protein kinase Src,heat shock protein 90 alpha family class A member 1(HSP90AA1),estrogen receptor 1(ESR1),tumor protein p53(TP53),epidermal growth factor receptor(EGFR),AKT1,and mitogen-activated protein ki-nase 3(MAPK3).The GO analysis revealed significant enrichment in oxidative stress response,protein phosphorylation,and serine/threonine kinase activity.The KEGG analysis primarily enriched the PI3K/AKT,MAPK and Ras signaling pathways.The MTT and colony formation assays showed that Bai inhibited the viability of Aspc-1 and Bxpc-3 cells in a dose-dependent manner(72 h IC50 values were 73.6 μmol/L and 83.4 μmol/L,respectively)and reduced cell colony for-mation(P<0.05 or P<0.01).Flow cytometry confirmed that Bai induced apoptosis of Aspc-1 and Bxpc-3 cells(P<0.01)and blocked the cell cycle at the G0/G1 phase(P<0.05 or P<0.01).Transwell experiments indicated that Bai inhibited the migration and invasion of Aspc-1 and Bxpc-3 cells(P<0.05 or P<0.01).In vivo,Bai significantly inhibited the growth of Aspc-1 cell xenograft tumors(P<0.01).Immunohistochemistry revealed a significant reduction in AKT expression in tu-mor tissues(P<0.01),and Western blot showed decreased expression of AKT,β-catenin,N-cadherin and Slug in both Aspc-1 and Bxpc-3 cells(P<0.01).CONCLUSION:Baicalein inhibits pancreatic cancer cell proliferation,migration,and invasion,potentially through down-regulation of AKT,β-catenin,N-cadherin,and Slug expression.

Objective To investigate the relationship between the intraluminal characteristics of the occlusion segment and the degree of the primary collateral circulation(Circle of Willis)opening in patients with acute internal carotid artery occlusion(ICAO)and the occurrence of different subtypes of ipsilateral intracranial watershed infarction(WSI).Methods A total of 63 patients with unilateral acute ICAO accompanied by ipsilateral intracranial WSI were retrospectively included and divided into the internal watershed infarction(IWSI)group and the cortical watershed infarction(CWSI)group.The intraluminal characteristics of the occlusion segment and the degree of the Circle of Willis opening were analyzed using vessel wall magnetic resonance imaging(VW-MRI).Multivariate binary logistic regression analysis was employed to identify independent predictive indicators for the occurrence of CWSI.Results There was no significantly statistical difference in the occlusion range between the two groups.The range of intraluminal high signal involvement,the ratio of intraluminal relative highest signal,the incidence of high signal at the end of occlusion,and the degree of the Circle of Willis opening in the CWSI group were higher than those in the IWSI group(P<0.001).The range of intraluminal high signal involvement,high signal at the end of occlusion,and the degree of the Circle of Willis opening were identified as independent predictive factors for CWSI.Conclusion VW-MRI analysis of the intraluminal characteristics of the occlusion segment and the degree of the Circle of Willis opening can help to elucidate the mechanisms underlying the occurrence of IWSI/CWSI and can provide assistance in formulating etiology-based treatment strategies for clinical practice.