ObjectiveAge-related macular degeneration （AMD） is one of the leading causes of low vision and blindness in people over 50 years old， and dry AMD （dAMD） is one type for which there is currently no clear treatment. On the basis of the diagnosis and clinical characteristics of dAMD in traditional Chinese and Western medicine， this paper evaluated the fitting degrees of existing animal models of dAMD with clinical characteristics according to the evaluation methods of animal models， and put forward suggestions and prospects. MethodsLiterature on animal models of dAMD was searched against database， and the characteristics of the models were assigned according to the diagnosis criteria of diseases and syndromes of traditional Chinese and Western medicine， and the fitting degrees of the models with clinical characteristics were analyzed and evaluated. ResultsAt present， the animal models of dAMD are mainly established targeting complement factors， chemokines， oxidative damage， lipid/glucose metabolism， and natural strains. Most of the models can simulate the major pathological changes of dAMD， showing the fitting degree of 25%-50% with clinical characteristics in Western medicine. However， the evaluation of traditional Chinese medicine （TCM） syndromes， especially the evaluation of secondary syndromes， is missing， and the models present low fitting degrees with the clinical characteristics in TCM. ConclusionExisting animal models of dAMD are mostly established under the guidance of Western diagnostic standards， which reproduce the main disease characteristics of Western medicine and lack observation of TCM syndromes. Future studies can pay attention to the intervention factors and evaluation systems of spleen deficiency Qi deficiency and liver-kidney Yin deficiency syndrome and build the animal model of dAMD with integration of disease and syndrome based on clinical characteristics of traditional Chinese and Western medicine.

ObjectiveAge-related macular degeneration （AMD） is one of the leading causes of low vision and blindness in people over 50 years old， and dry AMD （dAMD） is one type for which there is currently no clear treatment. On the basis of the diagnosis and clinical characteristics of dAMD in traditional Chinese and Western medicine， this paper evaluated the fitting degrees of existing animal models of dAMD with clinical characteristics according to the evaluation methods of animal models， and put forward suggestions and prospects. MethodsLiterature on animal models of dAMD was searched against database， and the characteristics of the models were assigned according to the diagnosis criteria of diseases and syndromes of traditional Chinese and Western medicine， and the fitting degrees of the models with clinical characteristics were analyzed and evaluated. ResultsAt present， the animal models of dAMD are mainly established targeting complement factors， chemokines， oxidative damage， lipid/glucose metabolism， and natural strains. Most of the models can simulate the major pathological changes of dAMD， showing the fitting degree of 25%-50% with clinical characteristics in Western medicine. However， the evaluation of traditional Chinese medicine （TCM） syndromes， especially the evaluation of secondary syndromes， is missing， and the models present low fitting degrees with the clinical characteristics in TCM. ConclusionExisting animal models of dAMD are mostly established under the guidance of Western diagnostic standards， which reproduce the main disease characteristics of Western medicine and lack observation of TCM syndromes. Future studies can pay attention to the intervention factors and evaluation systems of spleen deficiency Qi deficiency and liver-kidney Yin deficiency syndrome and build the animal model of dAMD with integration of disease and syndrome based on clinical characteristics of traditional Chinese and Western medicine.

With the transformation in modern medical models and the increasingly diversified needs of patients， building a harmonious and mutually trusting doctor-patient community relationship has become the key to improving the quality of medical services， enhancing patients’ sense of access to medical care， and promoting medical effects. Medical social worker is an indispensable member of the medical team， whose interdisciplinary background knowledge and professional skills provide unique advantages for building a harmonious doctor-patient community relationship. However， the current subjects of research on the doctor-patient community are still limited to the medical staff and patients， and there is a lack of relevant research that uses interdisciplinary thinking and tools to explore the path of building a doctor-patient community. Therefore， under the guidance of the spiral research idea of action research method， by sorting out the action paths of medical social workers in carrying out pediatric neurosurgery specialist services in the past five years， three analytical tools from management， namely the strategic decision-making process model， the organization- stakeholder fit model， and the value proposition canvas， were used to solve the problems and dilemmas in the different stages of building a doctor-patient community. On these foundations， practical knowledge was produced， providing valuable experience and methods for medical social workers to build a doctor-patient community.

“Chinese Pharmacopoeia” is the legal basis for drug development, production, operation, use and management in China, and the Chinese Pharmacopoeia 2025 Edition is going to be issued and implemented. This article introduces the revision and amendment situations, analyzes the characteristics of the new edition of the Pharmacopoeia and the future development direction of national standards for better understanding and implementation of the latest edition of pharmacopoeia.

Based on the implementation of GMP, comprehensive improvement of quality control measures, and consideration of the 3Rs principle for experimental animals, Several years ago, WHO, the European Pharmacopoeia and the FDA gradually abolished the testing for abnormal toxicity of biological products, and the Chinese Pharmacopoeia 2025 Edition(Volume Ⅲ)also revised the testing for abnormal toxicity of biological products. In order to help users of the Chinese Pharmacopoeia(Volume Ⅲ) better understand and implement this pharmacopoeia, this article provides a detailed review of the changes in regulatory concepts for abnormal toxicity test in various countries and the process of gradually phasing out abnormal toxicity test, as well as the actual situation of China’s pharmaceutical industry. It also interprets the ideas and considerations for revising the Chinese Pharmacopoeia 2025 Edition(Volume Ⅲ) on abnormal toxicity test for biological products.

Objective:To analyze the epidemiological characteristics, spatial clustering, and correlation between dental fluorosis detection rates and meteorological factors in children aged 8 - 12 years old in 37 counties (cities, districts, hereinafter referred to as counties) affected by coal-burning-borne endemic fluorosis in Guizhou Province, and to provide a scientific basis for prevention and control of the disease.Methods:Monitoring data on dental fluorosis in children aged 8 - 12 years old from 2019 to 2022 were collected from the National Health Security Information System for Endemic Diseases. Meteorological data, including annual average temperature, annual average precipitation, annual sunshine hours, and annual average relative humidity, were obtained from the Guizhou Provincial Bureau of Statistics. Descriptive epidemiology, analytical epidemiology, and spatial correlation analysis methods were used to analyze the data. Visual maps were created based on the clustering levels of annual dental fluorosis detection rates (high-high, low-low, high-low, low-high). Spatial autocorrelation and meteorological factors were used to analyze the epidemiological characteristics, spatial clustering, and the impact of meteorological factors on dental fluorosis.Results:From 2019 to 2022, a total of 3 649 161 children aged 8 - 12 in the counties affected by coal-burning-borne endemic fluorosis were monitored, and 115 793 children were diagnosed with dental fluorosis, with a detection rate of 3.17%. The detection rates were 4.73% (45 093/954 338) in 2019, 3.35% (31 424/938 445) in 2020, 2.86% (21 727/760 195) in 2021, and 1.76% (17 549/996 183) in 2022, respectively. The dental fluorosis indices were 0.09, 0.07, 0.06, and 0.03, respectively. The number of counties with detection rates > 6% was 7, 5, 5, and 0 in 2019 - 2022, respectively. Dafang County consistently had the highest detection rates, with rates of 10.06% (6 783/67 408), 10.07% (1 955/19 421), 13.54% (4 017/29 667), and 4.83% (3 284/76 206) in 2019 - 2022, respectively. The Moran's I indices for dental fluorosis detection rates were 0.45, 0.53, 0.53, and 0.53 in 2019 - 2022, with Z = 4.29, 5.07, 5.31, and 5.10, respectively ( P < 0.05), indicating global spatial autocorrelation (positive) and spatial clustering of dental fluorosis detection rates. The number of counties with "high-high" clustering of detection rates was 7, 7, 6, and 7 in 2019 - 2022, mainly concentrated in the northwestern region, including Qixingguan District, Nayong County, Dafang County, Zhijin County, and Jinsha County of Bijie City. "Low-high" clustering areas were distributed in Zhongshan District of Liupanshui City in 2019, 2020, and 2022. The detection rate of dental fluorosis was associated with local annual average temperature (°C) and annual precipitation (mm) ( r = - 0.393, - 0.337, P = 0.016, 0.041). Conclusions:From 2019 to 2022, the detection rate of dental fluorosis in children aged 8 - 12 in coal-burning-borne endemic fluorosis areas in Guizhou Province has been decreasing year by year, and it shows spatial clustering. The high clustering area is in the northwest of Guizhou Province, which should be regarded as a key prevention and control area for coal-burning-borne fluorosis in the future. At the same time, areas with lower temperatures and precipitation should also strengthen prevention and control efforts.

Objective:To analyze the epidemiological characteristics, spatial clustering, and correlation between dental fluorosis detection rates and meteorological factors in children aged 8 - 12 years old in 37 counties (cities, districts, hereinafter referred to as counties) affected by coal-burning-borne endemic fluorosis in Guizhou Province, and to provide a scientific basis for prevention and control of the disease.Methods:Monitoring data on dental fluorosis in children aged 8 - 12 years old from 2019 to 2022 were collected from the National Health Security Information System for Endemic Diseases. Meteorological data, including annual average temperature, annual average precipitation, annual sunshine hours, and annual average relative humidity, were obtained from the Guizhou Provincial Bureau of Statistics. Descriptive epidemiology, analytical epidemiology, and spatial correlation analysis methods were used to analyze the data. Visual maps were created based on the clustering levels of annual dental fluorosis detection rates (high-high, low-low, high-low, low-high). Spatial autocorrelation and meteorological factors were used to analyze the epidemiological characteristics, spatial clustering, and the impact of meteorological factors on dental fluorosis.Results:From 2019 to 2022, a total of 3 649 161 children aged 8 - 12 in the counties affected by coal-burning-borne endemic fluorosis were monitored, and 115 793 children were diagnosed with dental fluorosis, with a detection rate of 3.17%. The detection rates were 4.73% (45 093/954 338) in 2019, 3.35% (31 424/938 445) in 2020, 2.86% (21 727/760 195) in 2021, and 1.76% (17 549/996 183) in 2022, respectively. The dental fluorosis indices were 0.09, 0.07, 0.06, and 0.03, respectively. The number of counties with detection rates > 6% was 7, 5, 5, and 0 in 2019 - 2022, respectively. Dafang County consistently had the highest detection rates, with rates of 10.06% (6 783/67 408), 10.07% (1 955/19 421), 13.54% (4 017/29 667), and 4.83% (3 284/76 206) in 2019 - 2022, respectively. The Moran's I indices for dental fluorosis detection rates were 0.45, 0.53, 0.53, and 0.53 in 2019 - 2022, with Z = 4.29, 5.07, 5.31, and 5.10, respectively ( P < 0.05), indicating global spatial autocorrelation (positive) and spatial clustering of dental fluorosis detection rates. The number of counties with "high-high" clustering of detection rates was 7, 7, 6, and 7 in 2019 - 2022, mainly concentrated in the northwestern region, including Qixingguan District, Nayong County, Dafang County, Zhijin County, and Jinsha County of Bijie City. "Low-high" clustering areas were distributed in Zhongshan District of Liupanshui City in 2019, 2020, and 2022. The detection rate of dental fluorosis was associated with local annual average temperature (°C) and annual precipitation (mm) ( r = - 0.393, - 0.337, P = 0.016, 0.041). Conclusions:From 2019 to 2022, the detection rate of dental fluorosis in children aged 8 - 12 in coal-burning-borne endemic fluorosis areas in Guizhou Province has been decreasing year by year, and it shows spatial clustering. The high clustering area is in the northwest of Guizhou Province, which should be regarded as a key prevention and control area for coal-burning-borne fluorosis in the future. At the same time, areas with lower temperatures and precipitation should also strengthen prevention and control efforts.

Objective To explore the effect of the blood flow restriction(BFR)at 40%arterial oc-clusive pressure(AOP)on ergometer cycling maximal lactate steady state(MLSS).Methods A total of 11 male college students majoring in sports science(age 23±2 yrs,height 176±5 cm,weight 74.6±5.5 kg,body fat 14.5%±4.7%)were selected.The test in this study was divided into 4 parts:① an incremental ramp test to determine the maximal aerobic power(Pmax);② the MLSS test to determine the blood lactate concentration of MLSS(MLSSc),the work load of MLSS(MLSSw),and the percentage of MLSSw relative to Pmax(%MLSSw);③ the 30 min constant load BFR test(MLSS-BFR)of MLSSw based on the test ② to determine the heart rate,blood lactate and subjec-tive fatigue of MLSSw at the BFR;④ MLSS test at BFR(BFR-MLSS)to determine MLSSc and MLSSw.The BFR was performed using an adjustable pressure compression cuff applied externally to the nearest point to the thigh,at a pressure of 40%AOP.Heart rate was monitored throughout the test.When measuring the constant load in test ②③④,restrictive pressure was released for 30 s ev-ery 5 min.During the release,a blood sample was collected from the earlobe for analysis of blood lac-tate.After the constant load test,the perceived exertion was collected immediately.Results MLSSw(152.5±28.8 vs 161.3±28.1 W,P<0.05,ES=0.84)and%MLSSw(53.4%±5.7%vs 56.7%±5.5%,P<0.05,ES=0.82)of BFR-MLSS test were significantly lower than those of MLSS test.However,no significant differences were found between the BFR-MLSS and MLSS test in MLSSc(5.61±1.18 vs 5.61±0.81 mmol/L,P>0.05,ES=0.01),heart rate(152.6±14.8 vs 150.7±10.7 bpm,P>0.05,ES=0.17)and RPE(14.8±3.3 vs 14.9±2.9,P>0.05,ES=0.06).Conclusion BFR exercise achieves MLSS at a lower external load(power output),and does not reduce the internal load of MLSS.Moreover,BFR increases the internal load for the same external load,but the division of the internal load interval seems to be the same during exercise with or without BFR.

"Chinese Pharmacopoeia"is the legal basis for drug development,production,operation,use and man-agement in China,and the Chinese Pharmacopoeia 2025 Edition is going to be issued and implemented.This article introduces the revision and amendment situations,analyzes the characteristics of the new edition of the Pharmaco-poeia and the future development direction of national standards for better understanding and implementation of the latest edition of pharmacopoeia.

Objective:To understand the current status of scientific and technological personnel cognition regarding patent transformation and utilization in hospitals, explore the implementation effectiveness and existing problems of hospital patent operation management measures, and thereby identify key areas and provide targeted guidance for subsequent improvement efforts.Methods:A questionnaire survey was conducted among scientific and technological personnel at a tertiary public hospital in Shanghai. The survey assessed their patent knowledge, investigated their training needs related to patent transformation and utilization, and evaluated the perceived importance and satisfaction with the hospital′s patent operation management measures. Descriptive statistics, ANOVA, t-tests, and Importance-Performance Analysis (IPA) were used to analyze the personnel's improvement demands regarding patent operation.Results:A total of 261 scientific and technological personnel were included. Their overall patent knowledge assessment score was relatively low (46.86±15.52), and their training topic needs were dispersed. The mean scores for both importance (4.13±0.74) and satisfaction (3.90±0.80) regarding the 11 hospital patent operation management measures were above the midpoint. IPA results indicated that: four measures, including ″improving patent transformation/utilization regulations″ and ″implementing salary rewards for achievements transformation, ″ should be maintained (high importance, high satisfaction); two measures, including ″establishing special funds for achievements transformation″ and ″introducing professional service agencies″, require concentrated improvement (high importance, low satisfaction); three measures, including ″building medical-industry-academia-research collaboration platforms″ and ″implementing tiered and classified training″, could be opportunistically optimized (low importance, high satisfaction); two measures, including ″integrating achievements transformation into hospital priorities″ and ″linking patent transformation to performance evaluation and professional promotion″, showed no priority for improvement (low importance, low satisfaction).Conclusions:Effective hospital patent operation management necessitates establishing a robust organizational and institutional framework, cultivating scientific talent with a transformation-oriented mindset, optimizing resource inputs such as funding, technology, information, and services, and actively exploring new paradigms for medical-industry-academia-research collaboration.