ObjectiveTomatoes are one of the highest-yielding and most widely cultivated economic crops globally, playing a crucial role in agricultural production and providing significant economic benefits to farmers and related industries. However, early blight in tomatoes is known for its rapid infection, widespread transmission, and severe destructiveness, which significantly impacts both the yield and quality of tomatoes, leading to substantial economic losses for farmers. Therefore, accurately identifying early symptoms of tomato early blight is essential for the scientific prevention and control of this disease. Additionally, visualizing affected areas can provide precise guidance for farmers, effectively reducing economic losses. This study combines hyperspectral imaging technology with machine learning algorithms to develop a model for the early identification of symptoms of tomato early blight, facilitating early detection of the disease and visual localization of affected areas. MethodsTo address noise interference present in hyperspectral images, robust principal component analysis (RPCA) is employed for effective denoising, enhancing the accuracy of subsequent analyses. To avoid insufficient information representation caused by the subjective selection of regions of interest, the Otsu’s thresholding method is utilized to extract tomato leaves effectively from the background, with the average spectrum of the entire leaf taken as the primary object of study. Furthermore, a comprehensive spectral preprocessing workflow is established by integrating multivariate scatter correction (MSC) and standardization methods, ensuring the reliability and effectiveness of the data. Based on the processed spectral data, a discriminant model utilizing a linear kernel function support vector machine (SVM) is constructed, focusing on characteristic wavelengths to improve the model's discriminative capability. ResultsCompared to full-spectrum modeling, this approach results in an 8.33% increase in accuracy on the test set. After optimizing the parameters of the SVM model, when C=1.64, the accuracies of the training set and test set reach 91.67% and 94.44%, respectively, demonstrating a 1.19% increase in training set accuracy compared to the unoptimized model, while maintaining the same accuracy on the test set, effectively alleviating issues of underfitting. ConclusionThis study successfully establishes an early discriminant model for tomato early blight using hyperspectral imaging and achieves visualization of early symptoms. Experimental results indicate that the SVM discriminant model based on characteristic wavelengths and a linear kernel function can effectively identify early symptoms of tomato early blight. Visualization of these symptoms in terms of disease probability allows for a more intuitive detection of early diseases and timely implementation of corresponding control measures. This visual analysis not only enhances the efficiency of disease identification but also provides farmers with more straightforward and practical information, aiding them in formulating more reasonable prevention strategies. These research findings provide valuable references for the early identification and visualization of plant diseases, holding significant practical implications for monitoring, identifying, and scientifically preventing crop diseases. Future research could further explore how to apply this model to disease detection in other crops and how to integrate IoT technology to create intelligent disease monitoring systems, enhancing the scientific and efficient management of crops.

Alzheimer's disease (AD) is a leading cause of dementia in the elderly. Mitogen-activated protein kinase phosphatase 1 (MKP-1) plays a neuroprotective role in AD. However, the molecular mechanisms underlying the effects of MKP-1 on AD have not been extensively studied. MicroRNAs (miRNAs) regulate gene expression at the post-transcriptional level, thereby repressing mRNA translation. Here, we reported that the microRNA-429-3p (miR-429-3p) was significantly increased in the brain of APP23/PS45 AD model mice and N2A^APP AD model cells. We further found that miR-429-3p could downregulate MKP-1 expression by directly binding to its 3'-untranslated region (3' UTR). Inhibition of miR-429-3p by its antagomir (A-miR-429) restored the expression of MKP-1 to a control level and consequently reduced the amyloidogenic processing of APP and Aβ accumulation. More importantly, intranasal administration of A-miR-429 successfully ameliorated the deficits of hippocampal CA1 long-term potentiation and spatial learning and memory in AD model mice by suppressing extracellular signal-regulated kinase (ERK1/2)-mediated GluA1 hyperphosphorylation at Ser831 site, thereby increasing the surface expression of GluA1-containing α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptors (AMPARs). Together, these results demonstrate that inhibiting miR-429-3p to upregulate MKP-1 effectively improves cognitive and synaptic functions in AD model mice, suggesting that miR-429/MKP-1 pathway may be a novel therapeutic target for AD treatment.

Objective To explore the feasibility and operability in identifying the therapeutic dominant stages of traditional Chinese medicine(TCM)based on subdivision model of disease course.Methods The hierarchical Bayesian model was used to differentiate the disease course of 125 cases of premature ovarian failure(POF),and the disease course of POF were divided into the occult stage,diminished ovarian reserve(DOR)stage,premature ovarian insufficiency(POI)stage,and POF stage.An then the paired sample t-test,Pearson correlation analysis and expert in-depth interview were used for the analysis of the therapeutic effects of TCM for POF at various stages.Results(1)Compared with POF stage,DOR and POI stages were frequently intervened by Chinese patent medicine.(2)In DOR(complicated with POI)stage and POF stage,there was significant difference between the degree of TCM intervention and the therapeutic effect(t =-3.70,P＜0.001).(3)The degree of TCM intervention was positively correlated with treatment outcomes in the DOR stage(r = 0.679,P＜0.001),so did in the POF stage(r = 0.432,P＜0.001),but the correlation in the POF stage was slightly lower than that in the DOR stage.(4)The results of in-depth interviews with experts of TCM gynecology showed that in the concealed phase of POF,the prognosis would be most favorable if TCM regulation and intervention were performed.In the DOR stage and POI stage,treatment with Chinese medicine prescriptions usually brought about better curative effect and prognosis.For the patients at POF stage,the therapeutic effect of TCM depended on the patients'compliance and the treatment course,and the effect was relatively not as good as that of the previous stages.Conclusion In the DOR stage and POF stage,the higher the degree of TCM intervention,the better the prognosis will be achieved for the patients treated with western medicine.In the POF stage,the efficacy of TCM intervention is reduced to a certain extent compared with the DOR stage.The results indicated that it is feasible and operable to identify the TCM therapeutic dominant stages based on the subdivision model of disease course.

Circulating tumor DNA (ctDNA) is cell-free DNA released by tumors or circulating tumor cells, containing abundant tumor-specific information that can serve as biomarkers for cancer early screening, monitoring, prognosis, and prediction of treatment response. This is particularly attractive in the field of gastric cancer, where high-quality screening, monitoring, and prediction methods are currently lacking. Gastric cancer exhibits significant tumor heterogeneity, with large differences in genetic and epigenetic characteristics among different subgroups. Methylated ctDNA has high sensitivity and specificity, which can help clarify tumor genotyping and facilitate the formulation of precise diagnostic and therapeutic strategies. Furthermore, numerous studies have confirmed the unique advantages of methylated DNA in predicting treatment response, adjuvant therapy, and drug resistance assessment, which may be used in the future to enhance the efficacy of chemotherapy regimens and improve patient chemotherapeutic response, and even treat multidrug resistance. However, there are several challenges associated with methylated ctDNA, such as low sensitivity and specificity at single-target sites, limited association between some gastric cancer subtypes and ctDNA, off-target risks, and the lack of large-scale and high-quality clinical research evidence. This review mainly summarizes current research on the methylation status of ctDNA in gastric cancer and connects these findings to early screening, recurrence monitoring, and potential treatment opportunities for gastric cancer. With advances in technology and the deepening of interdisciplinary research, ctDNA detection will reveal more disease information and become an essential foundation for gastric cancer research and precision medicine treatment.

Objective:To evaluate the effect of tumor volume on the radiation dose and efficacy of locally advanced cervical cancer patients undergoing radical radiotherapy and chemotherapy.Methods:Clinical data of 126 patients who were diagnosed with cervical cancer (stage ⅡB-ⅣA) and underwent radical concurrent chemoradiotherapy in Guangxi Medical University Cancer Hospital from November 2019 to November 2022 were retrospectively analyzed. The cut-off values of tumor volume before (pre-TV) and after (post-TV) external radiotherapy and tumor volume reduction rate (TVRR) were calculated by Jamovi software. The effects of pre-TV, post-TV and TVRR on short-term efficacy, progression-free survival (PFS), brachytherapy (BT) mode , high-risk clinical target volume (HR-CTV) and organs at risk (OAR) dose were investigated by univariate and multivariate analyses.Results:Pre-TV≥67.03 cm 3 and post-TV≥14.88 cm 3 were poor prognostic factors for 6-month PFS and objective response rate (ORR) (both P<0.05), and post-TV was an independent prognostic factor. In the TVRR≥73.0% and <73.0% groups, no statistical differences were observed in the 6-month PFS and ORR. In the pre-TV≥67.03 cm 3 group, the cases number of intracavitary brachytherapy (ICBT) and intracavitary / interstitial brachytherapy (IC/IS-BT) was 36 (50.0%), while in the pre-TV<67.03 cm 3 group, the cases number of ICBT and IC/IS-BT was 41 (76%) and 13 (24%), respectively ( P=0.003). In the post-TV≥14.88 cm3 group, the cases number of ICBT and IC/IS-BT was 28 (47%) and 32 (53%), while 49 (72%) and 17 (26%) in the post-TV<14.88 cm3 group, respectively ( P=0.002). The dose of HR-CTV D 90% in the TVRR≥73.0% group was significantly higher than that in the TVRR<73.0% group ( P=0.014), but there was no significant difference in the dose of bladder D 2 cm3, rectal D 2 cm3 and small intestine D 2 cm3 (all P>0.05). The dose of HR-CTV D 90% in the post-TV<14.88 cm 3 group was significantly higher than that in post-TV≥14.88 cm 3 group ( P<0.001), and the dose of bladder D 2 cm3 in the post-TV≥14.88 cm 3 group was higher than that in the post-TV<14.88 cm 3 group ( P<0.05). There was no significant difference in the dose of rectal D 2 cm3 and small intestinal D 2 cm3 between two groups (both P>0.05). The number of concurrent chemotherapy (≥4 times vs.<4 times) had no statistical difference for 6-month PFS and TVRR. Conclusions:Pre-TV and post-TV are the influencing factors of short-term efficacy and BT mode selection for locally advanced cervical cancer. Post-TV is an independent prognostic factor and also indirectly affects the dose of HR-CTV D 90% and bladder D 2 cm3 Increasing the number of concurrent chemotherapy (≥4 times) does not improve TVRR and short-term efficacy.

Objective To understand the factors that affect the pulmonary rehabilitation behavior of elderly patients with lung cancer during the post-operative transitional period,and provide reference bases for formulating the pulmonary rehabilitation plan of elderly patients with lung cancer during the transitional period and improving the compliance of pulmonary rehabilitation.Methods Based on the capability,opportunity,and motivation-behavior model(COM-B model),12 elderly lung cancer patients who underwent surgery at a tertiary A tumor hospital in Tianjin from March to July 2022 were selected for semi-structured interviews using descriptive research methods and purposive sampling method.The data were analyzed using directed content analysis.Results The ability factors(physical strength and postoperative discomfort symptoms of the elderly limit lung rehabilitation exercise,lack of pulmonary rehabilitation knowledge and awareness of the importance of exercise in lung rehabilitation knowledge),opportunity factors(lack of grassroots medical and health services,limiting lung rehabilitation exercise;family and friends are important resources for promoting lung rehabilitation exercise;medical support is a guarantee for promoting lung rehabilitation exercise),motivational factors(high self-efficacy in exercise is the foundation for lung rehabilitation exercise,perception of lung rehabilitation effects increases motivation for lung rehabilitation exercise)and 7 sub themes were extracted.Conclusion There are certain obstacles and promoting factors in the transitional lung rehabilitation process for elderly lung cancer patients after surgery.It is necessary to improve their postoperative discomfort symptoms,increase their knowledge of lung rehabilitation,enhance their awareness of lung rehabilitation,face the social support role of family,friends,and medical staff,improve the infrastructure and lung rehabilitation system,increase community lung rehabilitation support,provide multi-channel high-quality lung rehabilitation resources,and promote the development of smart medical services,constructing a transitional lung rehabilitation strategy for elderly patients with lung cancer.

Eleven compounds were isolated and purified from the ethyl acetate part of 80% ethanol extract of Ferula feruloides root by a combination of normal-phase silica gel column chromatography, Sephadex LH-20 dextran gel column chromatography and semi-preparative liquid chromatography and then modern wave spectrometry methods (NMR, MS, UV, IR) were used to identify the structures of the compounds, which were identified as baigene D (1), baigene E (2), baigene F (3), β-kirialovin (4), α-kirialovin (5), falcarindiol (6), ammoresinol (7), dshamirone (8), 2,3-dihydro-7-hydroxy-2S*,3R*-dimethyl-3-[4-methyl-5-(4-methy1-2-furyl)-3(E)-pentenyl]-furo[3,2-c]coumarin (9), 2,3-dihydro-7-hydroxy-2S*,3R*-dimethyl-2-[4,8-dimethyl-3(E),7-nonadi-enyl]-furo[3,2-c]coumarin (10), and baigene C (11). Compounds 1-3 are new coumarin analogues, and compounds 4-6 are firstly isolated from F. feruloides. The anti-proliferative activity of compounds 5, 7-11 against human gastric cancer (MKN-45) cells was evaluated using MTT assay, which showed that compounds 7-11 exhibited strong inhibitory activity, and compound 5 exhibited weak inhibitory activity.

Purpose/Significance Taking Jiashan county's chronic disease management mode based on blockchain as an example,new strategies for chronic disease management under the integrated county medical community mode are discussed.Method/Process U-sing the PEST-SWOT analysis method,the paper analyzes the strengths,weaknesses,opportunities and threats of the chronic disease management mode based on blockchain in Jiashan county from 4 aspects:politics,economy,society,and technology.Result/Conclu-sion The chronic disease management mode based on blockchain technology can ensure seamless connection and sharing of data,guaran-tee the security and traceability of patients'personal information and health records,and promote the common development of blockchain technology and chronic disease management in Jiashan county.

Objective:To investigate personal exposures to nitrogen oxides(NOX)and nitrogen di-oxide(NO2)and the influence of baseline personal characteristics,living environment and daily activity patterns of the participants on the exposures among adults over 35 in Tianjin and Shanghai.Methods:In this panel study,91 healthy nonsmoking adults aged over 35 from Tianjin and Shanghai participated in our study.The study was conducted in summer and winter.The participants were followed for three times with an interval of at least two weeks.Only participants in Shanghai were followed once in winter because of the COVID-19 pandemic.Twenty-seven participants completed follow-up visits in both seasons.We measured their 24 h personal exposures to NOX and NO2and collected their baseline and time-activity in-formation through questionnaire/diary.The linear mixed model was used to analyze the associations be-tween potential influencing factors and personal NOX and NO2 exposure levels.Results:There were 349 follow-up visits with valid 24 h personal NO2 and NOX exposure measurements in the two cities.The ave-rage 24 h personal exposures to NO2 and NOX(volume fraction)in Tianjin participants were 18.0 x 10-9 and 26.2 × 10-9 in summer,and 31.0 x 10-9 and 54.9 x 10-9in winter,respectively;and the average 24 h personal exposures to NO2 and NOX in Shanghai participants were 38.7 x 10-9and 100.0x10-9in summer,and 45.5 x10-9 and 139.2 x 10-9 in winter,respectively.The results of univariate regression analysis showed that their personal NOX exposure levels were significantly associated with city,season,gender,average daily cooking times,and ambient NO2 concentrations measured at fixed-site monitoring stations.In addition to the above factors,the personal NOX exposure levels were also significantly associ-ated with educational level and the personal NO2 exposure levels were also significantly associated with passive smoking,average daily home time,cooking energy type,residential distance from main traffic road,and use of kitchen ventilators.Multivariate regression analysis showed that the personal exposure levels of NO2 and NOX were significantly lower in Tianjin than that in Shanghai,were significantly lower in summer than that in winter,and were significantly and positively associated with ambient NO2 concen-trations measured at fixed-site monitoring stations.In addition,personal NOX exposure levels were signifi-cantly lower in females than in males,and personal NO2 exposure levels were significantly positively asso-ciated with average daily cooking times and significantly inversely associated with average daily home time.For every interquartile range(IQR)increase(12.7 × 10-9)in ambient NO2,the personal NO2 exposure levels increased by 27.5％(95％CI:17.0％-38.9％),and personal NOX exposure levels in-creased by 16.1％(95％CI:7.1％-25.8％).Conclusion:Season,city and ambient NO2 concentra-tions are significant influencing factors of personal exposure levels of NO2and NOX At the same time,the personal exposures levels of NO2 are also affected by lifestyle factors.Our study provides scientific evi-dence for making precise air pollution control decisions and reducing the exposure levels of NOX in the population.

Circulating tumor DNA (ctDNA) is cell-free DNA released by tumors or circulating tumor cells, containing abundant tumor-specific information that can serve as biomarkers for cancer early screening, monitoring, prognosis, and prediction of treatment response. This is particularly attractive in the field of gastric cancer, where high-quality screening, monitoring, and prediction methods are currently lacking. Gastric cancer exhibits significant tumor heterogeneity, with large differences in genetic and epigenetic characteristics among different subgroups. Methylated ctDNA has high sensitivity and specificity, which can help clarify tumor genotyping and facilitate the formulation of precise diagnostic and therapeutic strategies. Furthermore, numerous studies have confirmed the unique advantages of methylated DNA in predicting treatment response, adjuvant therapy, and drug resistance assessment, which may be used in the future to enhance the efficacy of chemotherapy regimens and improve patient chemotherapeutic response, and even treat multidrug resistance. However, there are several challenges associated with methylated ctDNA, such as low sensitivity and specificity at single-target sites, limited association between some gastric cancer subtypes and ctDNA, off-target risks, and the lack of large-scale and high-quality clinical research evidence. This review mainly summarizes current research on the methylation status of ctDNA in gastric cancer and connects these findings to early screening, recurrence monitoring, and potential treatment opportunities for gastric cancer. With advances in technology and the deepening of interdisciplinary research, ctDNA detection will reveal more disease information and become an essential foundation for gastric cancer research and precision medicine treatment.