ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

This article reviews relevant literature on the prevention and treatment of cancer with hesperidin published in the past 10 years by searching electronic databases such as China National Knowledge Infrastructure（CNKI）， Wanfang， and PubMed， and summarizes the research progress on the anticancer mechanism of hesperidin. Hesperidin has a wide range of pharmacological effects， including anti-inflammatory， antioxidant， antibacterial， antiviral， anticancer， immune-regulatory， anti-radiation， neuroprotective and cardiovascular protective properties and so on. Its anticancer mechanisms mainly include inhibiting cancer cell proliferation， promoting apoptosis， reducing angiogenesis， inhibiting invasion and migration of cancer cells， regulating immunity and autophagy， and exerting antioxidant and anti-inflammatory effects. As a broad-spectrum anticancer drug， hesperidin manifests chemo-preventive and therapeutic effects across various cancers， contingent upon its multifaceted anticancer mechanisms. Furthermore， this article summarizes the synergistic effects of hesperidin in combination with cisplatin， doxorubicin， cyclophosphamide and paclitaxel. It elucidates that hesperidin can enhance the cytotoxicity of these anticancer drugs against cancer cells while mitigating drug resistance and adverse side effects. Nonetheless， the clinical use is somewhat constrained due to its poor water solubility and limited bioavailability. Therefore， this article also outlines the current strategies for enhancing hesperidin's bioavailability， including structural modification， combination with other chemical substances， and utilization of nano drug carriers.The discovery of derivatives of hesperidin not only preserves the anticancer efficacy of hesperidin, but also effectively overcomes the shortcomings of poor water solubility and low bioavailability of hesperidin, effectively predicting the good application prospects of hesperidin and its derivatives.

Objective To present and discuss beam characteristics of the first Mevion S250i gantry-mounted accelerator pencil beam scanning proton therapy system in China.Methods The output dose was measured using a parallel-plate ionization chamber.The integrated depth dose was measured with a large-radius Bragg peak ionization chamber,covering 19 energy levels ranging from 227 MeV to 28 MeV,to analyze the proton beam characteristics.The spots in the air were measured with Phoenix flat panel detector on the beam central axis,and the precision of the delivery position was verified by measuring the multi-spot beam map.The interleaf leakage and penumbra reduction of adaptive aperture were measured to characterize its performance.Results The proton system was calibrated for a maximum energy of 227 MeV,with a(10×10)cm2uniform field delivering 1 Gy dose at a depth of 5 cm underwater.The system effectively modulated the proton beam range to the patient's surface,maintaining a constant 80%-80%Bragg peak width of 8.6 mm at all energy levels.The spot size of the highest energy beam at the isocenter was about 4 mm in the air,and the spot delivery position error was less than 1 mm.The interleaf leakage rate of the adaptive aperture for the highest energy beam was below 1.5%,and the penumbra was significantly reduced.Conclusion Mevion S250i proton therapy system demonstrates unique design and beam characteristics,which is reflected in the Bragg peak shape,spot size variation with energy,and penumbra sharpening of adaptive aperture;and these differences should be considered in treatment planning system modeling and planning for precision treatment.

Objective:To evaluate the clinical application value of the adaptive aperture by comparing intensity-modulated proton radiotherapy(IMPT) plans using and not using the aperture for brain tumors.Methods:A total of twenty patients treated with postoperative radiotherapy for brain tumors were enrolled in this study. IMPT plans were developed for each patient using and not using the adaptive aperture under the same optimization conditions. The target conformal index (CI) value, target homogeneity index (HI) value, and the dose to normal tissues of the two sets of plans were compared.Results:The IMPT plans designed using the adaptive aperture significantly increased the mean CI value from 0.58 to 0.66, while decreasing the mean 50% prescription dose volume from 797.70 cm 3 to 638.15 cm 3. These plans also reduced the irradiation doses to the cochlea, brainstem, optic chiasm, optic nerve, and lens ( t = 2.06, 3.02, 2.11, 2.58, 2.67, P < 0.05). Additionally, there was no significant difference in the HI value of the target volumes and the machine jumps (MU) between the two sets of plans ( P > 0.05). Conclusions:The adaptive aperture can significantly reduce the irradiation dose to normal tissues outside the target volumes, positively impacting the protection of organs at risk (OARs) around the target values. This demonstrates its great potential for clinical application.

Breast cancer is the most common malignant tumor among women, and early diagnosis, coupled with optimized treatment strategies is crucial for improving the prognosis. In recent years, with the advancement of nanotechnology, manganese-based nanomaterials have shown potential in various aspects of early breast cancer diagnosis, drug delivery, and tumor treatment. Compared to other nanomaterials, manganese-based nanomaterials exhibit excellent biocompatibility and have become a significant focus in the research of breast cancer diagnosis and treatment.

With the proposal and development of new technologies, new methods, and new education theories, the research on medical education and teaching has been conducted extensively. The theories, methods, and management mode of the research on medical education and teaching are keeping pace with the times and thus promote the rapid improvement in teaching ability, medical talents, and the training level of medical humanities. However, current studies on medical education and teaching focus too much on the innovation of education theories, methods, and management and neglect the aspects such as educational ethics, student awareness, and assessment of potential benefits and risks. In addition, the lack of unified implementation and supervision standards in the whole process management of education research is also a problem that needs to be solved urgently, especially in empirical studies, which brings great challenges to the standardized implementation of education research. By performing an analogy with the clinical trial research system and summarizing education research and educational ethics, this study, for the first time, proposes a set of standardized and systematic medical education and research standards, including the paradigms of classification, staging and different stages. These standards provide a theoretical basis for implementing medical education research, improving the education compliance of target students, fully guaranteeing the benefits of target students, and avoiding the risks in education research, which provides a reference for standardized education research in other disciplines.

Objective:To learn about the awareness of brucellosis prevention and control knowledge among people in key areas of Ningxia Hui Autonomous Region (Ningxia), and analyze influencing factors.Methods:From February to March 2023, a multi-stage stratified sampling method was adopted to select residents (aged ≥12 years and resident for ≥6 months) from Yanchi County, Litong District, Pingluo County and Yuanzhou District of Ningxia as the survey subjects. Demographic information such as gender, age, education level, marital status, occupation, region, urban-rural status, as well as knowledge of brucellosis prevention and control were obtained through face-to-face questionnaire surveys. The awareness rate of brucellosis prevention and control knowledge among various populations was calculated and the influencing factors were analyzed by binary logistic regression.Results:A total of 1 592 questionnaires were distributed, of which 1 581 were valid, with an effective rate of 99.31%. There were 704 males, accounting for 44.53% (704/1 581); and 877 females, accounting for 55.47% (877/1 581). The age was (54.09 ± 14.81) years old, ranging from 14 to 88 years old. The education level was mainly primary school or below, accounting for 48.07% (760/1 581). The marital status was mainly married or cohabitating, accounting for 91.84% (1 452/1 581). The occupation was mainly farmers and herdsmen, accounting for 61.92% (979/1 581). In Pingluo County, Litong District, Yuanzhou District and Yanchi County, 392, 403, 396 and 390 people were investigated, respectively. In urban and rural areas, 797 and 784 people were investigated, respectively. The overall awareness rate of brucellosis prevention and control knowledge among the population was 47.82% (756/1 581). Univariate analysis showed that there were statistically significant differences in the awareness rates of brucellosis prevention and control knowledge among different age groups, education levels, marital status, occupation, regions and urban and rural populations ( P < 0.05). Binary logistic regression analysis showed that age, education level, marital status, occupation, urban-rural status were the factors influencing the awareness rate of brucellosis prevention and control knowledge among the population ( P < 0.05). Conclusion:The awareness rate of brucellosis prevention and control knowledge in key areas of Ningxia is relatively low, and age, education level, marital status, occupation, and urban-rural status are the main influencing factors.

Chemical pollution-induced damage to ecosystem function has been a global challenge.The latest"Kunming-Montreal Global Biodiversity Framework"proposed reducing pollution risks to levels harmless to biodiversity and function,placing higher demands on chemical risk management at the ecosystem level.Conventional ecotoxicity tests have focused on single species,only to neglect genetic diversity protection and simplify species interactions.Here,we proposed using environmental RNA(eRNA)and metatranscriptomic analysis to establish a multi-species,multi-biological level chemical pollution ecological risk assessment approach in exposed communities.We reviewed the current status and trends of eRNA in chemical pollution risk assessment and proposed a strategy for bioeffect testing from molecules to communities based on eRNA,constructing ecological risk assessment models for different protection goals.Finally,we summarized the theoretical and technical challenges facing eRNA-based toxicity testing and outlined the future applications of eRNA in capturing real ecological effects of chemical pollution in the field.

Objective To analyze the daily quality assurance(QA)measurement results of IBA Sphinx Compact device on the Mevion compact pencil beam scanning proton therapy system for evaluating its clinical application value in proton therapy.Methods The daily QA measurement of Mevion S250i proton therapy system was carried out with Sphinx Compact device for 30 consecutive days,and the measurement results were analyzed.Results The average deviation between the positioning laser and the image center was(0.42±0.27)mm in 30 days.All of the proximal and distal depth errors of the high-and low-energy pencil beams were within 0.50 mm.The position deviation of all the spots measured did not exceed 1.00 mm,and the size deviation was less than 7.5%.The deviation between the image center and the beam center was not more than 0.75 mm.The relative deviation of the flatness of the rectangular field was about 0.5%.The deviation of the output dose of the square field was within 1.0%.Conclusion The proton system daily QA measurement items recommended by AAPM TG-224 report can be accurately and rapidly measured with Sphinx Compact device.The device is a practical and efficient daily QA tool with high practical value in clinic.