Implementation science (IS) aims to systematically analyze and address the real-world gaps from evidence to practice and the influencing factors of the context. It is necessary to carry out qualitative research to gather relevant implementation outcomes. Nevertheless, traditional qualitative analysis has issues such as consuming a great deal of time and energy, and it is unable to promptly provide the crucial data required for implementation science research. The Rapid Qualitative Analysis (RQA) method, through semi-structured interviews and the adoption of techniques such as immediate data condensation and matrix analysis, can effectively shorten the cycle of qualitative data collection and data processing. RQA can promptly identify social determinants of health such as structural barriers, facilitators, and the behavioral characteristics of target groups. It provides a real-time basis for public health decision-making, the interpretation of complex social phenomena, and the process and effectiveness evaluation of research projects. Although RQA is difficult to conduct in-depth theoretical analysis based on grounded theory, its efficiency and flexibility make it the preferred tool for large-scale and time-sensitive research. Thus, it has been widely applied in implementation science research. This paper sorts out the core concepts and commonly used technical methods of RQA, as well as the differences between RQA and traditional qualitative analysis. It also explores the applications of RQA in intervention optimization, process evaluation, and implementation outcome evaluation. By integrating specific cases, this paper clarifies its application value in the field of implementation science. In the future, it is advisable to explore the integration of RQA with technologies such as artificial intelligence and big data, in order to bridge the gap between the transformation of scientific research achievements into practice. Under circumstances of limited resources or tight time constraints, RQA can be used to efficiently conduct implementation science research, providing convenient and scientific methodological and technical support for accelerating evidence-based practice.

Objective To identify factors affecting and key environmental factors of the Oncomelania hupensis snail density in the Yangtze River Delta region using machine learning methods. Methods Administrative village-level O. hupensis snail survey data in the Yangtze River Delta (including Shanghai Municipality, Jiangsu Province, Zhejiang Province and Anhui Province) from 2011 to 2021 were retrieved from the Information Management System for Parasitic Disease Control of Chinese Center for Disease Control and Prevention. Environmental factor data were captured from the Google Earth Engine platform, including elevation, slope, terrain, normalized difference vegetation index (NDVI), vegetation type, soil type, total petroleum hydrocarbon (TPH), ammonium nitrogen, inorganic nitrogen, dissolved oxygen, pH of water, chemical oxygen demand (COD) and inorganic phosphorus, and climatic factor data in the study region were retrieved from the Copernicus Climate Data Store, including annual precipitation, aridity index and annual mean temperature (AMT). O. hupensis snail survey data in the Yangtze River Delta region from 2011 to 2021 were randomly divided into a training set (70%) and a test set (30%), and five machine learning models were selected for machine learning model construction and comparative analysis of the O. hupensis snail density using the software R 4.3.0, including random forest (RF), eXtreme gradient boosting (XGBoost), support vector machine (SVM), gradient boosting machine (GBM) and neural network (NN). The XGBoost model was employed to construct a predictive model for the O. hupensis snail density, and the impact of each environmental factor on O. hupensis snail distribution was quantified. The SHapley Additive exPlanations (SHAPs) values were calculated to estimate the average contribution of each variable to the model prediction, and the core environmental factors affecting the O. hupensis snail population density were screened. Results Among the five machine learning models, the XGBoost model exhibited the optimal comprehensive performance, with the coefficient of determination (R²) of 0.855, mean squared error (MSE) of 0.188, root mean squared error (RMSE) of 0.434 and mean absolute error (MAE) of 0.155, respectively. Analysis of factors affecting the O. hupensis snail density with the XGBoost model showed that among the 16 environmental factors, the top four high-impact factors ranked by SHAPs values included annual precipitation, elevation, aridity index and NDVI, with cumulative SHAPs contributions of 75%, which was higher than that of other environmental factors. If NDVI was higher than 0.6, the O. hupensis snail density increased with NDVI and peaked if NDVI was 0.8 (1.60 snails/0.1 m²). The O. hupensis snail density increased with elevation if the elevation ranged from 14 to 40 m, and slowly rose if the annual precipitation ranged from 900 to 1 300 mm, and then increased rapidly to the peak (1.52 snails/0.1 m²) if the annual precipitation ranged from 1 300 to 1 500 mm. In addition, the O. hupensis snail density increased rapidly to the maximum (1.60 snails/0.1 m²) if the aridity index ranged from 0.8 to 1.1, and decreased gradually if the aridity index exceeded 1.1. Conclusions The XGBoost model shows excellent performance in prediction of the O. hupensis snail density and identification of key environmental factors in the Yangtze River Delta region. Annual precipitation, elevation, aridity index and NDVI are key environmental factors affecting the distribution and density of O. hupensis snails in the Yangtze River Delta region.

Traditional Chinese medicine （TCM） clinical trials face challenges such as low participant compliance， insufficient geographical coverage， and cost-effectiveness imbalances. Decentralized clinical trials （DCT）， enabled by digital technology for remote data collection and monitoring， offer a new direction for TCM clinical trial research. This article systematically reviews three novel clinical trial design models. Combining the holistic concept and indivi-dualized treatment characteristics of TCM， it analyzes the challenges currently faced in TCM DCT practice， including the digitization and standardization of TCM theory， data security， privacy protection and patient engagement difficu-lties， insufficient ethical review and regulatory system adaptation， inadequate personnel training， and a shortage of interdisciplinary talent. Addressing these challenges， the article proposes methodological recommendations for DCT implementation that align with the principles of TCM diagnosis and treatment. These recommendations include promoting the intelligentization and standardization of TCM practices， constructing a full-chain data security and privacy protection system， improving the ethical framework and clarifying regulatory responsibilities， and cultivating and building interdisciplinary talent and capabilities， which provide theoretical and technical references for establishing standardized DCT practices in TCM.

Traditional Chinese medicine （TCM） clinical trials face challenges such as low participant compliance， insufficient geographical coverage， and cost-effectiveness imbalances. Decentralized clinical trials （DCT）， enabled by digital technology for remote data collection and monitoring， offer a new direction for TCM clinical trial research. This article systematically reviews three novel clinical trial design models. Combining the holistic concept and indivi-dualized treatment characteristics of TCM， it analyzes the challenges currently faced in TCM DCT practice， including the digitization and standardization of TCM theory， data security， privacy protection and patient engagement difficu-lties， insufficient ethical review and regulatory system adaptation， inadequate personnel training， and a shortage of interdisciplinary talent. Addressing these challenges， the article proposes methodological recommendations for DCT implementation that align with the principles of TCM diagnosis and treatment. These recommendations include promoting the intelligentization and standardization of TCM practices， constructing a full-chain data security and privacy protection system， improving the ethical framework and clarifying regulatory responsibilities， and cultivating and building interdisciplinary talent and capabilities， which provide theoretical and technical references for establishing standardized DCT practices in TCM.

Allergic conjunctivitis is a common ocular inflammatory disease, with intense itching being the most typical and distressing symptom for patients. In recent years, with the in-depth study of the interaction between the nervous and immune systems, significant progress has been made in understanding the mechanism of itching in allergic conjunctivitis. This review elaborates on the neurobiological basis of itching in allergic conjunctivitis, with a focus on the complex dialogue between immune cells and sensory neurons, particularly the core role of the IL-33-ST2-CGRP signaling axis in mediating itching. Additionally, this article introduces new findings in genetic susceptibility research, including the identification of susceptibility genes for allergic conjunctivitis through transcriptome-wide association studies. The sensory nervous system not only transmits itch signals but also actively participates in the formation of antigen channels related to conjunctival goblet cells, thereby regulating the local uptake of allergens and the initiation of the immune response. Moreover, targeted novel therapeutic strategies offer hope for patients with refractory allergic conjunctivitis. Exploring the molecular and cellular mechanisms of itching in allergic conjunctivitis will provide a theoretical basis for the development of more effective treatment methods.

To understand the progress of, summarize the lessons learned from and analyze the challenges in the national schistosomiasis elimination program of China in 2024, this article presented the endemic situation of schistosomiasis and national schistosomiasis surveillance results in the People’s Republic of China in 2024. By the end of 2024, Shanghai Municipality, Zhejiang Province, Fujian Province, Guangdong Province and Guangxi Zhuang Autonomous Region continued to consolidate schistosomiasis elimination achievements, and 7 provinces of Jiangsu, Sichuan, Yunnan, Hubei, Hunan, Anhui and Jiangxi maintained the criteria of schistosomiasis transmission interruption. A total of 450 counties (cites, districts) were found to be endemic for schistosomiasis in China in 2024, including 26 061 endemic villages covering 73 630 500 residents at risk of infections. Among the 450 counties (cities, districts) endemic for schistosomiasis, 388 (86.22%) achieved the criteria of schistosomiasis elimination and 62 (13.78%) achieved the criteria of transmission interruption. In 2024, a total of 4 102 624 individuals received immunological tests for schistosomiasis in China, with 44 823 sero-positives identified (1.09% seroprevalence), and a total of 169 722 individuals received parasitological examinations, with 1 egg-positives detected. A total of 27 321 cases with advanced schistosomiasis were documented in China by the end of 2024. In 2024, a total of 575 686 bovines were raised in schistosomiasis-endemic villages of China, and 113 842 bovines received immunological tests, with 235 sero-positives detected (0.21% seroprevalence), while no egg-positives were identified among the 167 475 bovines receiving parasitological examinations. In 2024, snail survey was performed covering an area of 680 498.27 hm² in China, and 190 778.66 hm² snail habitats were identified, including 59.09 hm² emerging snail habitats and 704.23 hm² reemerging snail habitats. In 2024, a total of 19 665 schistosomiasis patients receiving chemotherapy with praziquantel in China, and expanded chemotherapy was given to humans at 571 722 person-times and to bovines at 306 740 herd-times. In addition, snail control with chemical treatment covered 117 111.37 hm² snail habitats across China in 2024, and the actual area of chemical treatment was 66 562.95 hm², while environmental improvements were performed in snail habitats covering an area of 1 374.26 hm². The national schistosomiasis surveillance results showed that the mean prevalence rates of Schistosoma japonicum infections were both 0 among humans and bovines in China in 2024, and no S. japonicum infection was detected in snails. These data demonstrated that the prevalence of schistosomiasis remained at a low level in China in 2024; however, the areas of snail habitats remained high and the number of fenced cattle showed a slight increase. To address these risks, it is imperative to maintain the integrated strategy with an emphasis on management of the source of S. japonicum infection and intensified snail control in high-risk areas, and to reinforce schistosomiasis surveillance and forecast and snail control in high-risk areas.

Objective: To investigate the indoor fine particulate matter (PM 2.5 ) pollution and its influencing factors in children s bedrooms using solid fuel, so as to provide evidence for effective strategy to reduce PM 2.5 pollution. Methods: From December 2019 to November 2020, 198 households (108 in the north, 90 in the south) from two pilots in the north(Jiamusi in Heilongjiang Province) and south of China (Mianyang in Sichuan Province) were selected, and status of solid fuels using were obtained through home visits, dynamic changes in PM 2.5 concentrations in children s bedrooms were monitored by using real time online instruments, and the influencing factors of PM 2.5 pollution were analyzed by using a mixed effects model. Results: During the monitoring period, the daily PM 2.5 concentrations in the northern and southern pilot were 78.33 (40.50, 154.80) and 38.54(26.20, 58.46) μg/m 3, respectively, exceeding standard rates of 44.57% and 33.22%. During the heating period, the daily PM 2.5 concentrations in the northern and southern pilot were 212.50(133.60,244.10) and 104.42(73.97, 134.90) μg/m 3, respectively, with over standard rates of 96.75% and 86.96%. The mixed effects model analysis results showed that children s bedroom PM 2.5 concentrations were associated with solid fuel usage duration, window opening time, room layout (shared entrance door between kitchen and bedroom), indoor smoking, indoor humidity, and solid fuel use in the bedroom ( β =0.19, -0.05, 1.20, 0.43, 0.02, 0.35, all P <0.05). Conclusion Solid fuel combustion significantly comtributes to PM 2.5 pollution in children s bedrooms, with more pronounced impacts observed in northern China compared to southern regions.

Objective To observe the clinical effect of minimally invasive rotational curettage combined with water-assisted liposuction(WAL)in the treatment of gynecomastia(GYN)patients.Methods The clinical data of 80 GYN patients were retrospectively analyzed.According to different surgical methods,the patients were divided into minimally invasive surgery group(41 cases)and study group(39 cases).The minimally invasive surgery group underwent minimally invasive rotation-al curettage,while the study group underwent minimally invasive rotational curettage combined with WAL.The surgical indicators,pain intensity 24 hours postoperatively,postoperative complications,and subjective satisfaction were observed and compared between the two groups.Results The unilat-eral surgical duration in the study group was shorter than that in the minimally invasive surgery group,with a statistically significant difference(P＜0.05).No statistically significant differences were found in unilateral incision length,intraoperative blood loss,and postoperative hospital stay between the two groups(P＞0.05).No statistically significant difference was found in pain intensity 24 hours postoperatively between the two groups(P＞0.05).The incidence of postoperative complicationsin the study group was 5.13％,which was lower than 21.95％in the minimally invasive surgery group(P＜0.05).The study group had higher satisfaction scores for chest flatness without depression and breast symmetry than the minimally invasive surgery group(P＜0.05).Conclusion Compared with minimally invasive rotational curettage alone,the combination of minimally invasive rotational curet-tage and WAL for GYN patients results in shorter surgical duration,a lower incidence of postoperative complications,and higher patient satisfaction with breast appearance.

Objective:To evaluate the advantages and short-term clinical effects of totally robotic Nissen 360° fundoplication compared with laparoscopic surgery.Methods:A retrospective analysis was conducted on data of 110 patients undergoing Nissen 360° fundoplication at the Second Department of General Surgery, Yan'an Hospital Affiliated to Kunming Medical University from Aug 2023 to Aug 2024. Among them, 50 cases underwent totally robotic fundoplication, and 60 cases underwent laparoscopic fundoplication. By comparing and analyzing the fatigue level of the primary surgeon during the operations, postoperative incisional pain in patients, swallowing function recovery and the time to resume a normal solid-food diet within 3 months post-surgery, the advantages of totally robotic surgery were evaluated. Additionally, by examining the postoperative recovery of reflux symptoms, postoperative patient comfort, and satisfaction levels in both groups, the short-term clinical outcomes of totally robotic surgery were assessed.Results:Both groups of patients successfully completed the surgeries without any intraoperative or postoperative complications occurring. The fatigue score of the primary surgeon in the totally robotic group was significantly better than that in the laparoscopic group[ (2.34±1.38) vs. (2.89±1.51), t=1.385, P<0.01]. The time taken to resume a normal solid-food diet postoperatively in the totally robotic group was significantly shorter than that in the laparoscopic group[ (27.90±6.77) d vs. (40.78±13.60) d, t =5.765, P<0.01]. Moreover, the postoperative pain comfort level was better in the robotic group than in the laparoscopic group [(1.65±0.72) points vs. (2.23±0.59) points, t=3.742, P<0.01]. Within 12 months postoperatively, the GERD-Q scores in the totally robotic group decreased significantly, and reflux symptoms disappeared, comparable to that in the laparoscopic group. Conclusions:The totally robotic Nissen 360° fundoplication leads to lower fatigue levels for the surgeon. Patients experience significant advantages in terms of postoperative pain perception and dietary recovery. Additionally, it demonstrates excellent postoperative anti-reflux efficacy, high patient comfort, and the surgery is safe and reliable.

Objective The objective of this study was to explore the effect of knocking down CXCL8 on the efficacy of pacli-taxel chemotherapy in cervical squamous cell carcinoma and to investigate its potential mechanism of action.Methods The Hela cell model was used to specifically inhibit CXCL8 gene expression through lentivirus-mediated RNA interference(RNAi)technology.The optimal transfection conditions were HitransG P and a multiplicity of infection(MOI)of 100.The CCK-8 assay was used to screen the optimal intervention concentration of puromycin as 1.5μg/mL.The LV-CXCL8-RNAi(3 targets)and negative control lentivirus were transfected into cells under optimal transfection conditions and set up a blank control group.The qRT-PCR assay was used to select the sh-CXCL8-13 group lentivirus as the intervention sequence and virus for subsequent experiments.The experiments were divided into the blank control group,negative control group,sh-CXCL8 group,paclitaxel group,and sh-CXCL8+paclitaxel group.The prolifer-ative activity and invasive ability of cervical cancer cells were assessed by CCK-8 and cell invasion assays.The expression of CXCL8,Bcl2,Bax,and β-actin were detected by qRT-PCR and Western blot.Results Compared with the other four groups,the proliferative and invasive ability of Hela cells was significantly reduced in the sh-CXCL8+paclitaxel group,and the difference was statistically sig-nificant(P<0.01).The qRT-PCR results showed that the expression of CXCL8,Bcl2,PIK3CB,and Akt1 genes was significantly re-duced,and the expression of Bax gene was significantly increased in the sh-CXCL8+paclitaxel group.The difference between the groups was statistically significant(P<0.001).The results of Western blot showed that the expression of CXCL8,PIK3CB,and p-Akt1 proteins was reduced in the sh-CXCL8+paclitaxel group(P<0.05).Conclusion Knocking down CXCL8 can reduce the prolif-erative and invasive capacity of Hela cells,possibly by affecting the PI3K/Akt pathway to affect the drug sensitivity of Hela cells to paclitaxel.