Inflammation is the body’s response to damage， infection or other stimuli， but its excessive or continuous development can lead to a variety of diseases. Although modern medical anti-inflammatory therapies were widely used， it is often accompanied by limitations such as more adverse reactions. Based on the “holistic view” and “differential treatment”， traditional Chinese medicine （TCM） regards inflammation as a manifestation of the imbalance of yin and yang in the body and the conflict between good and evil. The application of anti-inflammatory TCM is not only aimed at the pathological state of “inflammation”， but also based on the overall consideration of “syndrome”. According to different types of syndrome， anti-inflammatory TCM can be divided into heat-clearing and detoxifying agents （such as Lonicera japonica and Isatis indigotica ）， heat-clearing and drying dampness agents （such as Coptidis Rhizoma）， blood-activating and stasis-dissolving agents （such as Salvia miltiorrhiza ） and vital qi-strengthening and pathogenic factor-expelling agents （such as Panax ginseng ）. Four types of anti-inflammatory TCM restore the body’s immune balance through the systematic regulation of multi-component， multi-target and multi-pathway， exhibiting a good anti-inflammatory effect. Future research should focus on integrating systematic biology， applying artificial intelligence， carrying out high-quality evidence-based research， and combining traditional Chinese medicine and Western medicine， so as to reveal the overall regulatory law of anti-inf lammatory effects of TCM and promote clinical rational use.

Artificial intelligence (AI) technologies are being widely applied in radiotherapy. However, the integration of AI into clinical workflows of radiotherapy faces a series of challenges, such as poor model interpretability, domain shifts between clinical application and training data, and the inherent model uncertainties. Therefore, case-specific quality assurance (QA) is essential before deploying AI models in clinical practice. This paper reviews and summarizes QA methodologies for the application of AI models in radiotherapy across four key areas: image registration, image generation, region of interest segmentation, and treatment planning.

Background When discussing the new concept of"pancreas spleen integration"in the early stage,we proposed that dampness heat stagnation in the spleen and deficiency due to stagnation are the traditional Chinese medicine(TCM)pathogenesis elements of pancreatitis-induced pancreatic ductal adenocarcinoma,among which dampness heat is the soil of pancreatitis deteriorates into pancreatic cancer.Objective Based on the TCM pathogenesis elements of pancreatitis to cancer with"damp heat"as the main factor,data mining technology was used to analyze the properties,channel conversion and active ingredients of heat-clearing Chinese medicines with anti-inflammatory and anti-tumor effects,and to summarize the drug characteristics of these Chinese medicines.To prospectively predict the use of drugs in the transformation process of pancreatitis to pancreatic cancer.Methods Taking Traditional Chinese Medicine(10th Edition of China Traditional Chinese Medicine Press)as the drug data source,66 heat-clearing herbs were searched in the literature database of CNKI and PubMed of inflammation * TCM or(inflammation+tumor)* TCM.The active ingredients were analyzed in the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP).Results Among the 66 heat-clearing drugs(excluding adjunct drugs),58 herbs had anti-inflammatory effects,53 herbs had anti-tumor effects,and 48 herbs had both anti-inflammatory and anti-tumor effects.The three groups of drugs were mainly bitter,sweet and pungent in five flavors,and were mainly liver,stomach,lung,heart and large intestine in meridian affinity.Five flavors and meridian affinity were highly similar.In the TCMSP,the"five principles of drug class"were used to screen the active ingredients of anti-inflammatory and anti-tumor drugs.A total of 1041 active ingredient data were screened,and 798 active ingredient data were screened after duplicate items were deleted.Top three active ingredients were Luteolin,Kaempferol and Acacetin.Conclusion Based on the analysis of five flavors,meridian affinity and active ingredients of heat-clearing medicine,this study found that the anti-inflammatory and anti-tumor effects of these Chinese herbs are highly overlapping,it has important guiding significance for the drug research and clinical prescription of pancreatitis-induced pancreatic ductal adenocarcinoma.

Objective To understand the facilitating and obstacle factors for pediatric nurses in implementing interventions for children's medical fears and to provide a foundation for exploring intervention strategies for pediatric nurses to effectively tackle children's medical fears.Methods By purposive sampling,face-to-face interviews were conducted with 20 pediatric nurses in a tertiary-level A children's hospital in Wenzhou City from December 2023 to February 2024.Traditional content analysis was used for data analysis.Results Facilitators and obstacle factors to the implementation of medical fear interventions by pediatric nurses were extracted.The 4 sub-themes of the facilitator theme include awareness of the importance of medical fear intervention,the drive of individual empathy,positive peer support,and the construction of a suitable hospital environment.The 3 sub-themes of the obstacle theme include the lack of individualized intervention skills for medical fear,heavy workload,interference from negative emotional behavior of family members.Conclusion There are many factors influencing paediatric nurses to implement medical fear interventions for children.It is recommended that clinical nursing administrators should strengthen the systematic training of pediatric nurses'knowledge about medical fear interventions for children,unite with multidisciplinary experts,and recruit medical social workers or volunteers to collaborate with nurses and children's families to cope with children's medical fears together and to promote physical and mental health of hospitalized children.

Objective To understand the facilitating and obstacle factors for pediatric nurses in implementing interventions for children's medical fears and to provide a foundation for exploring intervention strategies for pediatric nurses to effectively tackle children's medical fears.Methods By purposive sampling,face-to-face interviews were conducted with 20 pediatric nurses in a tertiary-level A children's hospital in Wenzhou City from December 2023 to February 2024.Traditional content analysis was used for data analysis.Results Facilitators and obstacle factors to the implementation of medical fear interventions by pediatric nurses were extracted.The 4 sub-themes of the facilitator theme include awareness of the importance of medical fear intervention,the drive of individual empathy,positive peer support,and the construction of a suitable hospital environment.The 3 sub-themes of the obstacle theme include the lack of individualized intervention skills for medical fear,heavy workload,interference from negative emotional behavior of family members.Conclusion There are many factors influencing paediatric nurses to implement medical fear interventions for children.It is recommended that clinical nursing administrators should strengthen the systematic training of pediatric nurses'knowledge about medical fear interventions for children,unite with multidisciplinary experts,and recruit medical social workers or volunteers to collaborate with nurses and children's families to cope with children's medical fears together and to promote physical and mental health of hospitalized children.

Background When discussing the new concept of"pancreas spleen integration"in the early stage,we proposed that dampness heat stagnation in the spleen and deficiency due to stagnation are the traditional Chinese medicine(TCM)pathogenesis elements of pancreatitis-induced pancreatic ductal adenocarcinoma,among which dampness heat is the soil of pancreatitis deteriorates into pancreatic cancer.Objective Based on the TCM pathogenesis elements of pancreatitis to cancer with"damp heat"as the main factor,data mining technology was used to analyze the properties,channel conversion and active ingredients of heat-clearing Chinese medicines with anti-inflammatory and anti-tumor effects,and to summarize the drug characteristics of these Chinese medicines.To prospectively predict the use of drugs in the transformation process of pancreatitis to pancreatic cancer.Methods Taking Traditional Chinese Medicine(10th Edition of China Traditional Chinese Medicine Press)as the drug data source,66 heat-clearing herbs were searched in the literature database of CNKI and PubMed of inflammation * TCM or(inflammation+tumor)* TCM.The active ingredients were analyzed in the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP).Results Among the 66 heat-clearing drugs(excluding adjunct drugs),58 herbs had anti-inflammatory effects,53 herbs had anti-tumor effects,and 48 herbs had both anti-inflammatory and anti-tumor effects.The three groups of drugs were mainly bitter,sweet and pungent in five flavors,and were mainly liver,stomach,lung,heart and large intestine in meridian affinity.Five flavors and meridian affinity were highly similar.In the TCMSP,the"five principles of drug class"were used to screen the active ingredients of anti-inflammatory and anti-tumor drugs.A total of 1041 active ingredient data were screened,and 798 active ingredient data were screened after duplicate items were deleted.Top three active ingredients were Luteolin,Kaempferol and Acacetin.Conclusion Based on the analysis of five flavors,meridian affinity and active ingredients of heat-clearing medicine,this study found that the anti-inflammatory and anti-tumor effects of these Chinese herbs are highly overlapping,it has important guiding significance for the drug research and clinical prescription of pancreatitis-induced pancreatic ductal adenocarcinoma.

Artificial intelligence (AI) technologies are being widely applied in radiotherapy. However, the integration of AI into clinical workflows of radiotherapy faces a series of challenges, such as poor model interpretability, domain shifts between clinical application and training data, and the inherent model uncertainties. Therefore, case-specific quality assurance (QA) is essential before deploying AI models in clinical practice. This paper reviews and summarizes QA methodologies for the application of AI models in radiotherapy across four key areas: image registration, image generation, region of interest segmentation, and treatment planning.

Objective:To analyze the correlation between related indexes of serum lipid and insulin resistance and cognitive impairment in middle-aged and elderly people with mild cognitive impairment (MCI).Methods:In this cross-sectional study, 262 middle-aged and elderly patients with a Montreal Cognitive Function Scale (MoCA) cognitive score greater than or equal to 18 points who underwent physical examination in the Health Management Center of Beijing Tiantan Hospital Affiliated to Capital Medical University from January 1 to July 31, 2021 were selected as subjects. According to the cognitive function and MoCA score, the patients were divided into MCI group (143 cases) and normal cognition group (119 cases). Basic data, fasting blood glucose, triglyceride (TG), total cholesterol, apolipoprotein E(ApoE) genotype and other clinical indicators were collected. Hypothesis test was used to compare the differences in basic data, related indicators of blood lipid and insulin resistance between the two groups. Spearman correlation analysis was used to analyze the correlation between related indicators of blood lipid and insulin resistance and MoCA score in the two groups.Results:The age and the proportion of patients with hypertension, coronary heart disease and diabetes in the MCI group were all significantly higher than those in normal cognition group [(54.83±8.29) vs (50.76±6.34) years, 37.76% vs 31.93%, 4.20% vs 0.84%, 16.08% vs 8.40%] (all P<0.05). The elevation of serum TG ( r=-0.50, 95% CI:-0.88--0.12), TG glucose product index (TyG) ( r=-0.75, 95% CI:-1.29--0.20) and TG to high-density lipoprotein cholesterol ratio (TG/HDL-C) ( r=-0.52, 95% CI:-0.91--0.13) were all negatively correlated with MoCA score (all P<0.05). After adjusting for age and gender, the elevation of TG ( r=-0.39, 95% CI:-0.75--0.31) and TG/HDL-C ( r=-0.43, 95% CI:-0.80--0.05) were both still negatively correlated with MoCA score (both P<0.05). There was no significant correlation between all indexes and MoCA scores in the normal cognition group (all P>0.05). The elevated TG was negatively correlated with MoCA score in the MCI group ( r=-0.70, 95% CI:-1.23-0.16, P=0.017). There was no significant correlation between elevated TG and MoCA score in patients carrying ApoE ε2 and ApoE ε3 genotypes in MCI group (all P>0.05). Conclusion:Elevated related indexes of blood lipids and insulin resistance are negatively correlated with cognitive scores in middle-aged and elderly people with MCI, and it′s more obvious in patients with ApoE ε4 genotype.

ObjectiveTo investigate common dyadic coping (CDC) in linking with marital satisfaction and quality of life (QOL) in patients with brain injury and their spouses in a rehabilitation facility by using common fate model (CFM). MethodsFrom October, 2022 to June, 2023, 101 brain injury inpatients and their spouses in Beijing Bo'ai Hospital completed the questionnaire of Dyadic Coping Inventory, Kansas Marital Satisfaction Scale and World Health Organization Quality of Life. ResultsThe level of CDC between patients and their spouses significantly positively correlated with their marital satisfaction for both partners (β = 0.814, P < 0.001), as well as correlated with their quality of life (β = 0.271, P = 0.038; β = 0.481, P < 0.001). For the dimensions of QOL, the physical, psychological, social relationship and environmental dimensions significantly positive correlated with the CDC for the spouses, and only psychological and social relationship dimensions for the patients. ConclusionFacing the stress of brain injury, the level of CDC within couples can positively predict their marital satisfaction and QOL, and effect seems stronger for the spouses. It is advisable to consider both brain injured patients and their spouses as a whole to promote psychological adaptation and improve rehabilitation outcomes.

Postzygotic mutations are acquired in normal tissues throughout an individual's lifetime and hold clues for identifying mutagenic factors.Here,we investigated postzygotic mutation spectra of healthy individuals using optimized ultra-deep exome sequencing of the time-series samples from the same volunteer as well as the samples from different individuals.In blood,sperm,and muscle cells,we resolved three common types of mutational signatures.Signatures A and B represent clock-like mutational processes,and the polymorphisms of epigenetic regulation genes influence the pro-portion of signature B in mutation profiles.Notably,signature C,characterized by C＞T transitions at GpCpN sites,tends to be a feature of diverse normal tissues.Mutations of this type are likely to occur early during embryonic development,supported by their relatively high allelic frequencies,presence in multiple tissues,and decrease in occurrence with age.Almost none of the public datasets for tumors feature this signature,except for 19.6％of samples of clear cell renal cell carcinoma with increased activation of the hypoxia-inducible factor 1(HIF-1)signaling pathway.Moreover,the accumulation of signature C in the mutation profile was accelerated in a human embryonic stem cell line with drug-induced activation of HIF-1α.Thus,embryonic hypoxia may explain this novel signature across multiple normal tissues.Our study suggests that hypoxic condition in an early stage of embryonic development is a crucial factor inducing C＞T transitions at GpCpN sites;and indi-viduals'genetic background may also influence their postzygotic mutation profiles.