ObjectiveEarly blight is a common destructive disease in the growth process of Solanaceae crops, which can lead to crop failure and serious losses. Traditional crop disease detection methods are difficult to detect disease characteristics in a timely manner during the incubation period of disease, and thus take scientific and effective prevention and control measures. This study obtained hyperspectral images of early blight of peppers at different infection stages through continuous monitoring with a hyperspectral imager. The earliest identifiable time during the incubation period of early blight in peppers (the earliest identifiable time during the incubation period in this experiment was 24 h after inoculation) was determined using the spectral angle cosine-correlation coefficient and Chebyshev distance. MethodsTaking the symptoms of the latent period of early blight in peppers as the research object, 13 characteristic wavelengths were selected using a genetic algorithm. An identification model of crop disease latent period symptoms based on spectral features was established through optimized combinations of characteristic wavelengths combined with a logistic regression model. Simultaneously, a recognition model of the latent period of early blight in peppers based on image texture features was established using local binary patterns. ResultsThe experiment was tested with 120 samples. The accuracy of the identification model of crop disease latent period symptoms based on spectral features reached over 93% in both the training set and the test set. The accuracy of the identification model of crop disease latent period symptoms based on texture features reached 98.96% and 100% in the training set and test set, respectively. ConclusionBoth spectral features and texture features can be used to detect and identify crop disease latent period symptoms. Texture features more significantly revealed the characteristics of the latent period of the disease compared to spectral features, effectively improving the detection performance of the model. The research results in this article can provide theoretical references for monitoring and identifying other crop disease latent period symptoms.

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.

[Objective] To explore the incidence and risk factors of blood transfusion undergoing total knee revision (TKR) using a nationwide database. [Methods] A retrospective data analysis was conducted based on the Nationwide Inpatient Sample (NIS), enrolling patients who underwent TKR from 2015 to 2019 with complete information. Patients under 18 years old and those using anticoagulants, antiplatelets, antithrombotic and non-steroidal were excluded. The patients were divided into two groups based on whether they received blood transfusion or not. The demographic characteristics, length of stay (LOS), total charge of hospitalization, hospital characteristics, hospital mortality, comorbidities and perioperative complications by Wilcoxon rank test for continuous data and chi-square test for categorical data. Logistic regression was performed to identify risk factors of blood transfusion undergoing TKR. [Results] The NIS database included 63 359 patients who underwent TKR. Among them, 5 271 patients received blood transfusion, with an incidence of blood transfusion of 7.8%. There was a decrease in the incidence over the years from 2015 to 2019, dropping from 10.2% to 6.5%. TKR patients requiring transfusions had experienced longer LOS, incurred higher total medical expenses, utilized Medicare more frequently, and had increased in-hospital mortality rates (all P<0.001). Independent risk factors for blood transfusion included female gender, iron-deficiency anemia, rheumatoid disease, collagen vascular disease, chronic blood loss anemia, congestive heart failure, coagulopathy, diabetes with chronic complications, lymphoma, fluid and electrolyte disorders, peripheral vascular disorders, renal failure, valvular disease and weight loss (malnutrition). In addition, risk factors for transfusion in TKR surgery included sepsis, acute myocardial infarction, deep vein thrombosis, gastrointestinal bleeding, heart failure, pneumonia, urinary tract infection, acute renal failure, postoperative delirium, wound infection, lower limb nerve injury, hemorrhage, seroma, hematoma, wound rupture and non healing. [Conclusion] Our findings highlight the importance of recognizing the risk factors of blood transfusion in TKR and establishing corresponding clinical pathways and intervention measures to reduce the occurrence of adverse events.

The shaoyang meridian is an important pivot between the internal organs and meridians system， with the functions of regulating qi and blood， balancing yin and yang， and coordinating the ascending and descending movement of qi. Dysfunction of the shaoyang pivot can lead to spleen and kidney deficiency， impaired liver and gallbladder qi regulation， and stagnation of qi and blood. It is believed that the onset and progression of Crohn's disease are closely related to shaoyang pivot dysfunction， with the core pathogenesis characterized by shaoyang disharmony， spleen deficiency， dampness retention， and blood stasis. Based on this understanding， the treatment principle centers on harmonizing the shaoyang pivot， supplemented by methods such as warming and nourishing the spleen and stomach， tonifying shaoyang， and soothing the liver and benefiting the gallbladder. Acupuncture is employed to target key acupoints along the shaoyang meridian to restore its regulatory functions， improve spleen and stomach transformation and transportation， facilitate liver and gallbladder qi flow， and promote the circulation of qi and blood. This provides a practical therapeutic approach for acupuncture-based treatment of Crohn's disease.

Aim To explore the key components and mechanisms of Lizhong decoction in treating rats with cold-damp diarrhea based on network pharmacology,molecular docking technology and animal experiments.Methods By literature review and database collec-tion,the components of Lizhong decoction,therapeutic targets,and the mapping with diarrhea disease targets were conducted to construct an intersection target pro-tein-protein interaction network for screening core tar-gets,and GO and KEGG pathway enrichment analysis was performed to build an"active component-target-pathway"network,followed by molecular docking vali-dation.Forty-eight rats were randomly divided into the normal control group(K),model group(DG),Lizhong decoction group(LZDG),and Pulsatilla decoction group(BTDG).Subsequently,a rat cold-damp diar-rhea model was established using Senna combined with low-temperature high-humidity environment,and the rats were intervened with Lizhong decoction and Pul-satilla decoction.HE staining was used to detect path-ological changes in intestinal tissue,ELISA was em-ployed to measure the levels of peripheral blood IL-6,IL-10,IL-1 β,and TNF-α,and western blot was used to determine the expression of colon tight junction pro-teins.Results Network pharmacology initially identi-fied 125 compounds in Lizhong decoction,5 186 drug target components,438 disease targets,and 60"drug-disease"shared targets.GO and KEGG enrichment a-nalysis showed that signaling pathways such as IL-17 and TNF were highly enriched.Molecular docking in-dicated that the core components of the drug had good binding activity with corresponding key targets.Liz-hong decoction could effectively improve the clinical symptoms of rats with cold-damp diarrhea,and com-pared with the DG group,the diarrhea rate,diarrhea in-dex,and other related indicators also gradually de-creased to normal levels.Compared with the DG group,the LZDG group showed reduced inflammation levels and a recovery in energy metabolism levels.Conclusion It can regulate targets such as MMP9 and IL-17 signaling pathways through multi-components like Calycosin and formononetin to exert its therapeutic effect on cold-damp diarrhea.

Objective:To analyze the efficacy of total knee arthroplasty (TKA) with partial varus retention in the treatment of moderate knee varus.Methods:A retrospective analysis was conducted on the data of 613 osteoarthritis patients with moderate knee varus who underwent TKA at the First Affiliated Hospital of Nanjing Medical University from January 2010 to October 2019. According to whether a 2°-3° of knee varus was retained, the patients were divided into the retained varus group and the mechanical alignment group. The retained varus group included 318 cases, with 63 males and 255 females, aged 68.51±6.95 years (range, 46-86 years), and BMI of 26.99±3.66 kg/m 2 (range, 17.40-39.01 kg/m 2). Preoperative Kellgren-Lawrence (K-L) classification of knee osteoarthritis was grade III in 113 cases and grade IV in 205 cases. The mechanical alignment group included 295 cases, with 75 males and 220 females, aged 69.60±7.12 years (range, 52-87 years), and BMI of 26.95±3.94 kg/m 2 (range, 16.60-41.90 kg/m 2). Preoperative K-L classification was grade III in 102 cases and grade IV in 193 cases. Surgical duration, total blood loss, preoperative and postoperative varus angle, lower limb swelling on the fifth postoperative day, and postoperative complications were recorded. Follow-up were arranged at 3 months, 6 months, 1 year, and 5 years postoperatively. At each follow-up point, the visual analogue score (VAS) for knee pain, Hospital for Special Surgery (HSS) score, Forgotten Joint Score (FJS-12), and MOS item short-form health survey (SF-36) were assessed. Results:All 613 patients were successfully followed up, with a follow-up period of 5.25±1.02 years (range, 5.0-6.0 years). There were no statistically significant differences in gender, age, BMI, and K-L classification between the two groups ( P>0.05). The differences in postoperative varus angle, VAS scores, and HSS score were statistically significant from the preoperative values in both groups( P<0.05). The surgical duration of the retained varus group was 77.40±18.55 min, total blood loss was 920.78±407.26 ml, and lower limb swelling on the fifth postoperative day was 1.18±0.51 cm, all of which were lower than those in the mechanical alignment group: 85.31±22.15 min, 1127.14±580.08 ml, 3.22±0.52 cm, respectively, with statistically significant differences ( P<0.05). The VAS scores at postoperative day 5 and 3 months in the retained varus group were 5.08±0.72 and 2.18±1.09, respectively, which were lower than those in the mechanical alignment group: 5.80±0.81, 3.00±1.04, with statistically significant differences ( P<0.05). There were no statistically significant differences in VAS scores at 6 months, 1 year, and 5 years postoperatively between the two groups ( P>0.05). The HSS scores at 3 months and 6 months postoperatively in the retained varus group were 68.57±4.98 and 79.04±3.26, respectively, which were higher than those in the mechanical alignment group: 64.14±3.99, 77.73±4.04, with statistically significant differences ( P<0.05). There were no statistically significant differences in HSS scores at 1 year and 5 years postoperatively between the two groups ( P>0.05). The FJS-12 scores at 3 months and 6 months postoperatively in the retained varus group were 18.06±3.50 and 27.50±1.80, respectively, which were higher than those in the mechanical alignment group: 13.45±2.44, 24.23±1.59, with statistically significant differences ( P<0.05). There were no statistically significant differences in FJS-12 scores at 1 year and 5 years postoperatively between the two groups ( P>0.05). The SF-36 scores at 3 months and 6 months postoperatively in the retained varus group were 40.85±8.07 and 52.15±6.01, respectively, which were higher than those in the mechanical alignment group: 35.87±6.83, 47.28±5.38, with statistically significant differences ( P<0.05). There were no statistically significant differences in SF-36 scores at 1 year and 5 years postoperatively between the two groups ( P>0.05). The incidence of deep vein thrombosis in the lower limbs was 3.8% (12/318) in the retained varus group, which was lower than the 7.8% (23/295) in the mechanical alignment group, with a statistically significant difference ( P<0.05). Conclusion:In osteoarthritis patients with moderate knee varus undergoing TKA, retaining approximately 3° of varus can reduce surgical trauma and total blood loss, shorten surgical duration, alleviate postoperative pain and limb swelling, facilitate functional recovery, and improve patient satisfaction.

Objective:To evaluate spinal-pelvic mobility and sagittal spinal-pelvic alignment characteristics in patients with developmental dysplasia of the hip (DDH), and to investigate differences in sagittal spinal-pelvic parameters between patients with DDH and those with osteonecrosis of the femoral head (ONFH).Methods:A total of 55 patients with DDH who underwent primary total hip arthroplasty (THA) at the Affiliated Hospital of Xuzhou Medical University between April 2021 and March 2024 were retrospectively analyzed. The cohort included 8 males and 47 females, with a mean age of 56.16±10.82 years (range: 26-76 years). Among them, 18 patients had bilateral DDH and 37 had unilateral DDH. Fifty-five age- and sex-matched patients with ONFH were selected as the control group. Unilateral DDH cases were classified according to the Hartofilakidis classification: 18 cases of type A, 13 cases of type B, and 6 cases of type C. Lateral spinal-pelvic radiographs were used to measure pelvic incidence (PI), pelvic tilt (PT), sacral slope (SS), and lumbar lordosis (LL) in both standing and sitting positions. Changes in sagittal spinal-pelvic parameters between standing and sitting positions were analyzed to assess spinal-pelvic mobility. Spinal-pelvic mobility was considered abnormal if △SS was outside the range of 10°-30°. Abnormal mobility was further categorized as stiffness (△SS<10°) or hypermobility (△SS>30°).Results:The PI (52.37°±12.43°), standing PT (12.13°±9.50°), and sitting PT (36.49°±13.43°) of DDH patients were significantly higher than those of ONFH patients (44.88°±11.38°, 7.80°±11.36°, and 28.91°±11.38°, respectively), with statistically significant differences ( P<0.05). Abnormal spinal-pelvic mobility, including both stiffness and hypermobility, was observed in 53% of DDH patients, with stiffness accounting for 20%. These proportions were significantly higher than those in ONFH patients, which were 24% and 6%, respectively ( P<0.05). The prevalence of abnormal spinal-pelvic mobility in Hartofilakidis type C DDH patients was 83%, significantly higher than the 30.8% observed in type B patients (χ 2=4.550, P=0.033). The standing LL (54.37°±11.59°) and sitting LL (28.56°±15.51°) in unilateral DDH patients were significantly greater than those in bilateral DDH patients (46.88°±15.30° and 20.42°±9.77°, respectively), with statistically significant differences ( P< 0.05). Conclusions:Compared with patients with ONFH, those with DDH demonstrate a higher prevalence of abnormal spinal-pelvic mobility, particularly a greater incidence of spinal stiffness. Among DDH subtypes, Hartofilakidis type C patients exhibit a higher proportion of abnormal mobility compared to types A and B. Additionally, patients with unilateral DDH present with greater lumbar lordosis than those with bilateral involvement.

With the increasing global recognition of Traditional Chinese Medicine (TCM), acupuncture, as a non-pharmacological treatment, has demonstrated promising potential in alleviating symptoms, improving quality of life, and modulating immune and neurological system functions in patients with Crohn's disease (CD). This review summarizes the theoretical foundations and recent research progress on acupuncture for CD, and introduces a personalized "Three Discriminations" diagnostic and therapeutic strategy based on syndrome differentiation, meridian differentiation, and acupoint selection. It also identifies the target patient populations and clinical application value of acupuncture in CD treatment. Despite preliminary progress, acupuncture treatment for CD still faces multiple challenges, including limited high-quality clinical research evidence, uneven resource distribution, non-standardized efficacy evaluation systems, insufficiently standardized treatment strategies, and an incomplete understanding of its underlying mechanisms. Future efforts should focus on establishing high-quality evidence systems, optimizing integrative treatment strategies combining acupuncture with conventional medicine, and conducting deep exploration of multi-dimensional mechanisms, with the goal of promoting the standardized integration of acupuncture into the management of CD and providing patients with safer, more precise, and sustainable therapeutic options.

Medical institutions, with their clinical practice foundation and abundant human use experience data, have become important carriers for the inheritance and innovation of traditional Chinese medicine(TCM) and the "cradles" of the preparation of new TCM. To effectively promote the transformation of new TCM originating from the TCM clinical practice in medical institutions and establish an effective evaluation index system for the transformation of new TCM conforming to the characteristics of TCM, consensus experts adopted the literature research, questionnaire survey, Delphi method, etc. By focusing on the policy and technical evaluation of new TCM originating from the TCM clinical practice in medical institutions, a comprehensive evaluation from the dimensions of drug safety, efficacy, feasibility, and characteristic advantages was conducted, thus forming a comprehensive evaluation system with four primary indicators and 37 secondary indicators. The expert consensus reached aims to encourage medical institutions at all levels to continuously improve the high-quality research and development and transformation of new TCM originating from the TCM clinical practice in medical institutions and targeted at clinical needs, so as to provide a decision-making basis for the preparation, selection, cultivation, and transformation of new TCM for medical institutions, improve the development efficiency of new TCM, and precisely respond to the public medication needs.
Medicine, Chinese Traditional/standards* ; Humans ; Consensus ; Drugs, Chinese Herbal/therapeutic use* ; Surveys and Questionnaires

To explore the variation laws of volatile oil during the extraction process of Artemisiae Argyi Folium and its impact on the quality of the medicinal solution, as well as to achieve precise control of the extraction process, this study employed headspace solid phase microextraction gas chromatography-mass spectrometry(HS-SPME-GC-MS) in combination with multiple light scattering techniques to conduct a comprehensive analysis, identification, and characterization of the changes in volatile components and the physical properties of the medicinal solution during the extraction process. A total of 82 volatile compounds were identified using the HS-SPME-GC-MS technique, including 21 alcohols, 15 alkenes, 14 ketones, 9 acids, 6 aldehydes, 5 phenols, 3 esters, and 9 other types of compounds. At different extraction time points(15, 30, 45, and 60 min), 71, 72, 64, and 44 compounds were identified in the medicinal solution, respectively. It was observed that the content of volatile components gradually decreased with the extension of extraction time. Through multivariate statistical analysis, four compounds with significant differences during different extraction time intervals were identified, namely 1,8-cineole, terpinen-4-ol, 3-octanone, and camphor. RESULTS:: from multiple light scattering techniques indicated that at 15 minutes of extraction, the transmittance of the medicinal solution was the lowest(25%), the particle size was the largest(0.325-0.350 nm), and the stability index(turbiscan stability index, TSI) was the highest(0-2.5). With the extension of extraction time, the light transmittance of the medicinal solution improved, stability was enhanced, and the particle size decreased. These laws of physicochemical property changes provide important basis for the control of Artemisiae Argyi Folium extraction process. In addition, the changes in the bioactivity of Artemisiae Argyi Folium extracts during the extraction process were investigated through mouse writhing tests and antimicrobial assays. The results indicated that the analgesic and antimicrobial effects of the medicinal solution were strongest at the 15-minute extracting point. In summary, the findings of this study demonstrate that the content of volatile oil in Artemisiae Argyi Folium extracts gradually decreases with the extension of extraction time, and the variation in volatile oil content directly influences the physicochemical properties and pharmacological efficacy of the medicinal solution. This discovery provides important scientific reference for the optimization of Artemisiae Argyi Folium extraction processes and the development and application of process analytical technologies.
Oils, Volatile/pharmacology* ; Artemisia/chemistry* ; Gas Chromatography-Mass Spectrometry ; Drugs, Chinese Herbal/pharmacology* ; Chlorogenic Acid/pharmacology* ; Solid Phase Microextraction ; Quality Control