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This study employs multidimensional time-series data analysis to explore college students’ learning behaviors in martial arts civics classes. By analyzing learner interactions in three categories and time-series data from educational videos, we assess student engagement in mastery of knowledge and quantify learning outcomes for a detailed and accurate evaluation of their learning status. Our team has crafted a targeted learning path network that enhances offline teaching approaches by leveraging insights from online learning trends and in-class performance in martial arts civics education. The results show that the most popular and highest-rated course is Military Poetry (4.7 points) based on the analysis of recall data, and more elements of military poetry should be included in the design of teaching content. Student A64 had the lowest online note quality rating of 0.02, which can be hypothesized to indicate that the student’s attitude was not active enough. Online and offline Mixed Martial Arts classroom Civics education had a mean score of 46.856, with a p-value of 0, and there was a significant difference between traditional offline education and online mixed martial arts classroom Civics education. Most of the students’ personal patriotism, professional knowledge, and abilities were significantly enhanced after participating in online and offline mixed martial arts classroom Civic and Political Education.

Objective To analyze the effect of bevacizumab on D-dimer (D-D), fibrinogen (FIB) and arteriovenous thromboembolism in the treatment of advanced colorectal cancer (aCRC). Methods A retrospective analysis was performed on the clinical data of 96 patients with aCRC treated in Jiangdu People's Hospital from January 2017 to December 2021. The patients were divided into control group [received XELOX regimen (capecitabine and oxaliplatin), n=48] and observation group (received bevacizumab treatment on the basis of XELOX regimen, n=48). The objective response rate (ORR), disease control rate (DCR), levels of serum tumor markers, serum D-D and FIB, the incidence of arteriovenous thromboembolism and the total incidence of toxic and side effects were compared between two groups. Results Compared with control group, ORR (52.08% vs 29.17%) and DCR (83.33% vs 56.25%) were significantly increased in observation group (P＜0.05＝. Serum levels of carbohydrate antigen 199 (CA199) and carcinoembryonic antigen (CEA) in observation group were statistically lower than those in control group after 1, 3 and 6 cycles of chemotherapy (P＜0.05＝. After 1 and 3 cycles of chemotherapy, serum D-D and FIB were similar in two groups (P＞0.05), and they were significantly higher in observation group than those in control group after 6 cycles of treatment (P＜0.05＝. There was no significant difference in the incidences of arteriovenous thromboembolism (8.33% vs 0, P＞0.05) and toxic side effects between observation group and control group (P＞0.05). Conclusion On the basis of conventional chemotherapy for advanced colorectal cancer, the addition of bevacizumab can effectively improve the ORR and DCR of CRC patients, reduce the serum levels of tumor markers and have little impact on serum D-D and FIB levels at the beginning of chemotherapy.

Fibers are raw materials used for manufacturing yarns and fabrics, and their properties are closely related to the performances of their derivatives. It is indispensable to implement fiber identification in analyzing textile raw materials. In this paper, seven common fibers, including cotton, tencel, wool, cashmere, polyethylene terephthalate (PET), polylactic acid (PLA), and polypropylene (PP), were prepared. After analyzing the merits and demerits of the current methods used to identify fibers, near-infrared (NIR) spectroscopy was used owing to its significant superiorities, the foremost of which is it can capture the tiny information differences in chemical compositions and morphological features to display the characteristic spectral curve of each fiber. First, the fibers’ spectra were collected, and then, the relationships between the vibrations of characteristic chemical groups and the corresponding wavelengths were researched to organize a spectral information library that would be beneficial to achieve quick identification and classification. Finally, to achieve intelligent detection, pattern recognition approaches, including principal component analysis (PCA) (used to extract information of interest), soft independent modeling of class analogy (SIMCA), and linear discrimination analysis (LDA) (defined using two classifiers), assisted in accomplishing fiber identification. The experimental results – obtained by combining PCA and SIMCA – displayed that five of seven target fibers, namely, cotton, tencel, PP, PLA, and PET, were distributed with 100% recognition rate and 100% rejection rate, but wool and cashmere fibers yielded confusing results and led to relatively low recognition rate because of the high proportion of similarities between these two fibers. Therefore, the six spectral bands of interest unique to wool and cashmere fibers were selected, and the absorbance intensities were imported into the classifier LDA, where wool and cashmere were group-distributed in two different regions with 100% recognition rate. Consequently, the seven target fibers were accurately and quickly distinguished by the NIR method to guide the fiber identification of textile materials.

Objective To assess clinical effect of replantation in avulsed immature permanent teeth.Methods 30 avulsed permanent teeth with immature apex treated following the International Association of Dental Traumatology treatment guidelines from July 2008 to June 2009 were analyzed in the retrospective study. The healing outcomes were classified into 4 categories：normal periodontal ligament healing, surface resorption, ankylosis and inflammatory resorption.Results The rate of normal periodontal ligament healing, surface resorption, ankylosis and inflammatory resorption were 23.3%, 3.3%, 43.3%, and 30.0％ respectively.Conclusion Traumatic injuries that result in ankylosis and inflammatory resorption of the permanent teeth in growing child leave the practitioners with many considerations to make the most appropriate treatment plan.

ObjectiveThe aim of this study was to study the association of perioperative administration of renin angiotensin system inhibitors (RASi) and clinical outcomes of patients with heart failure (HF) undergoing cardiac surgery.Summary background dataIt is controversial whether the perioperative RASi should be administered in HF patients undergoing cardiac surgery.MethodsA total of 2338 patients with HF and undergoing CABG and/or valve surgeries at multiple hospitals from 2001 to 2015 were identified from STS database. After adjustment using propensity score and instrumental variable, logistic regression was conducted to analyze the influence of preoperative continuation of RASi (PreRASi) on short-term in-hospital outcomes. Independent risk factors of 30-day mortality, major adverse cardiovascular events (MACE), and renal failure were analyzed by use of stepwise logistic regression. The effects of pre- and postoperative use of RASi (PostRASi) on long-term mortality were analyzed using survival analyses. Stepwise Cox regression was conducted to analyze the independent risk factors of 6-year mortality. The relationships of HF status and surgery type with perioperative RASi, as well as PreRASi-PostRASi, were also evaluated by subgroup analyses.ResultsPreRASi was associated with lower incidences of 30-day mortality [ P < 0.0001, odds ratio (OR): 0.556, 95% confidence interval (CI) 0.405-0.763], stroke ( P =0.035, OR: 0.585, 95% CI: 0.355-0.962), renal failure ( P =0.007, OR: 0.663, 95% CI: 0.493-0.894). Both PreRASi ( P =0.0137) and PostRASi ( P =0.007) reduced 6-year mortality compared with the No-RASi groups.ConclusionsPre- and postoperative use of RASi was associated with better outcomes for the patients who have HF and undergo CABG and/or valve surgeries. Preoperative continuation and postoperative restoration are warranted in these patients.