ObjectiveTo explore the training path of rehabilitation therapy professionals in local colleges and universities under the background of New Medicine. MethodsTaking Jining Medical University as an example, combining the interdisciplinary integration, intelligent driving and people-oriented New Medicine attributes of rehabilitation therapy, this study focused on the current practical problems in rehabilitation education, accurately aligned with the requirements of new medicine construction, reshaped the curriculum system with new concepts, empowered practical innovation with new technologies, and cultivated humanistic literacy with new connotations. By deeply integrating digital construction with educational practice, it carried out the construction and practice of the New Medicine talent training model in rehabilitation therapy, helping students form a stereoscopic knowledge structure, possess the ability to apply intelligent rehabilitation technology and solve complex rehabilitation problems, and become high-quality rehabilitation therapy talents with both morality and ability. ResultsThe overall construction of the rehabilitation therapy major established a model of Dual fusion foundation, Three element empowerment and Three dimensional soul casting, including reform and innovation in curriculum system, practical mode and moral education mechanism. It has formed a health oriented "vertical and horizontal integration-discipline fusion" dual-fusion stereoscopic curriculum system, an intelligent led "theory and practice-science and education-industry and education" three element integration practical mode, and a confucian medical culture "curriculum-practice-evaluation" three-dimensional integrated moral education mechanism. Through practical testing, this model achieved significant results and was widely recognized, including a significant improvement in the quality of talent cultivation, prominent achievements in resource construction, and prominent achievements in health services, providing strong support for the construction of regional rehabilitation medical systems. ConclusionThe reform of the rehabilitation treatment talent training model at Jining Medical University under the background of New Medicine provides a replicable and promotable practical paradigm for the training of rehabilitation talents in similar universities through reshaping the curriculum system, strengthening practical innovation, and cultivating humanistic literacy.

ObjectiveTo explore the training path of rehabilitation therapy professionals in local colleges and universities under the background of New Medicine. MethodsTaking Jining Medical University as an example, combining the interdisciplinary integration, intelligent driving and people-oriented New Medicine attributes of rehabilitation therapy, this study focused on the current practical problems in rehabilitation education, accurately aligned with the requirements of new medicine construction, reshaped the curriculum system with new concepts, empowered practical innovation with new technologies, and cultivated humanistic literacy with new connotations. By deeply integrating digital construction with educational practice, it carried out the construction and practice of the New Medicine talent training model in rehabilitation therapy, helping students form a stereoscopic knowledge structure, possess the ability to apply intelligent rehabilitation technology and solve complex rehabilitation problems, and become high-quality rehabilitation therapy talents with both morality and ability. ResultsThe overall construction of the rehabilitation therapy major established a model of Dual fusion foundation, Three element empowerment and Three dimensional soul casting, including reform and innovation in curriculum system, practical mode and moral education mechanism. It has formed a health oriented "vertical and horizontal integration-discipline fusion" dual-fusion stereoscopic curriculum system, an intelligent led "theory and practice-science and education-industry and education" three element integration practical mode, and a confucian medical culture "curriculum-practice-evaluation" three-dimensional integrated moral education mechanism. Through practical testing, this model achieved significant results and was widely recognized, including a significant improvement in the quality of talent cultivation, prominent achievements in resource construction, and prominent achievements in health services, providing strong support for the construction of regional rehabilitation medical systems. ConclusionThe reform of the rehabilitation treatment talent training model at Jining Medical University under the background of New Medicine provides a replicable and promotable practical paradigm for the training of rehabilitation talents in similar universities through reshaping the curriculum system, strengthening practical innovation, and cultivating humanistic literacy.

ObjectiveTo explore the training path of rehabilitation therapy professionals in local colleges and universities under the background of New Medicine. MethodsTaking Jining Medical University as an example, combining the interdisciplinary integration, intelligent driving and people-oriented New Medicine attributes of rehabilitation therapy, this study focused on the current practical problems in rehabilitation education, accurately aligned with the requirements of new medicine construction, reshaped the curriculum system with new concepts, empowered practical innovation with new technologies, and cultivated humanistic literacy with new connotations. By deeply integrating digital construction with educational practice, it carried out the construction and practice of the New Medicine talent training model in rehabilitation therapy, helping students form a stereoscopic knowledge structure, possess the ability to apply intelligent rehabilitation technology and solve complex rehabilitation problems, and become high-quality rehabilitation therapy talents with both morality and ability. ResultsThe overall construction of the rehabilitation therapy major established a model of Dual fusion foundation, Three element empowerment and Three dimensional soul casting, including reform and innovation in curriculum system, practical mode and moral education mechanism. It has formed a health oriented "vertical and horizontal integration-discipline fusion" dual-fusion stereoscopic curriculum system, an intelligent led "theory and practice-science and education-industry and education" three element integration practical mode, and a confucian medical culture "curriculum-practice-evaluation" three-dimensional integrated moral education mechanism. Through practical testing, this model achieved significant results and was widely recognized, including a significant improvement in the quality of talent cultivation, prominent achievements in resource construction, and prominent achievements in health services, providing strong support for the construction of regional rehabilitation medical systems. ConclusionThe reform of the rehabilitation treatment talent training model at Jining Medical University under the background of New Medicine provides a replicable and promotable practical paradigm for the training of rehabilitation talents in similar universities through reshaping the curriculum system, strengthening practical innovation, and cultivating humanistic literacy.

Objective:To evaluate surgical strategies and clinical outcomes in supra-labyrinthine cholesteatoma management, providing evidence-based guidance for therapeutic decision-making. Methods:Seven patients with supra-labyrinthine cholesteatoma in our hospital from 2021 to 2023 were enrolled in this study. The clinical manifestations, imaging findings, and surgical outcomes of patients were retrospectively analyzed. A systematic literature review focused on surgical anatomy correlations and imaging-based approach selection. Results:All seven cases of supra-labyrinthine cholesteatoma were unilateral. Preoperative otoendoscopy, CT, and intraoperative findings confirmed that they were classified as supral-abyrinthine cholesteatoma according to Sanna's classification. Two cases were operated entirely with otoendoscopy, three cases used a postauricular approach with microscopic assistance, and two cases involved a combined approach with endoscopy and microscopy. Hearing reconstruction with ossicular prosthesis was performed in five cases, while two cases did not undergo hearing reconstruction due to preoperative anacusis confirmed by both subjective and objective hearing tests. In all seven cases, various segments of the facial nerve were exposed during surgery, but postoperative facial nerve function remained intact, hearing was preserved, no cerebrospinal fluid leakage occurred, and no recurrences have been observed to date（as of June 2024）. Conclusion:With the advancement of imaging techniques and microsurgical technology, early diagnosis and surgical methods for supral-abyrinthine cholesteatoma have significantly improved. Compared to traditional approaches, the newer methods reduce unnecessary complications and offer advantages such as minimal surgical trauma, superior hearing preservation rates, and shorter recovery times with better postoperative neural function. This study reviews recent literature on petroclival cholesteatomas, combined with our own cases, to analyze the classification of supral-abyrinthine cholesteatoma and surgical approach selection. The findings aim to optimize treatment strategies and guide appropriate surgical methods, ultimately improving patient prognosis and quality of life.
Humans ; Cholesteatoma/surgery* ; Ear, Inner/surgery* ; Retrospective Studies ; Treatment Outcome

Exercise intervention is an important non-pharmacological intervention for various diseases, and establishing precise exercise load assessment techniques can improve the quality of exercise intervention and the efficiency of disease prevention and control. Based on data collection from wearable devices, this study conducts nonlinear optimization and empirical verification of the original "Fitness-Fatigue Model". By constructing a time-varying attenuation function and specific coefficients, this study develops an optimized mathematical model that reflects the nonlinear characteristics of training responses. Thirteen participants underwent 12 weeks of moderate-intensity continuous cycling, three times per week. For each training session, external load (actual work done) and internal load (heart rate variability index) data were collected for each individual to conduct a performance comparison between the optimized model and the original model. The results show that the optimized model demonstrates a significantly improved overall goodness of fit and superior predictive ability. In summary, the findings of this study can support dynamic adjustments to participants' training programs and aid in the prevention and control of chronic diseases.
Humans ; Wearable Electronic Devices ; Exercise/physiology* ; Models, Theoretical ; Heart Rate/physiology* ; Exercise Therapy

Objective:To explore the correlation between serum levels of interleukin-9 (IL-9), platelet activating factor (PAF), total immunoglobulin E (IgE), interferon γ (IFN-γ), and interleukin-4 (IL-4) in patients with chronic spontaneous urticaria (CSU).Methods:Sixty CSU active phase patients admitted to the First Affiliated Hospital of Hebei North University from March 2018 to March 2019 were selected and included in the CSU active phase group. Based on the 7-day Urticaria Activity Score (UAS7), they were divided into three groups: 15 mild group, 25 moderate group, and 20 severe group; And 19 patients who entered the quiescent phase of the disease after 28 days of standardized antihistamine treatment were included in the CSU quiescent phase group. Another 30 healthy subjects who participated in the physical examination at the same time at our hospital′s physical examination center were selected to be included in the healthy control group. 5 ml of fasting elbow vein blood was collected from CSU active and stationary patients, as well as healthy subjects. The serum levels of IL-9, PAF, total IgE, IFN-γ, and IL-4 were detected using enzyme-linked immunosorbent assay. Pearson correlation test was used to analyze the correlation between serum IL-9, PAF levels and total IgE, IFN-γ, and IL-4 levels in CSU active patients.Results:The serum levels of IL-9, PAF, total IgE, and IL-4 in the CSU active phase group were higher than those in the CSU stationary phase group and healthy control group (all P<0.05), and the serum IFN-γ levels were lower than those in the CSU stationary phase group and healthy control group (all P<0.05). There was no statistically significant difference in the levels of the above indicators between the healthy control group and the CSU stationary group (all P>0.05). The serum levels of IL-9, PAF, total IgE, and IL-4 in the severe group were significantly higher than those in the mild and moderate groups (all P<0.05), and the serum IFN-γ levels were significantly lower than those in the mild and moderate groups (all P<0.05); The serum levels of IL-9, PAF, total IgE, and IL-4 in the moderate group were significantly higher than those in the mild group (all P<0.05), and the serum IFN-γ levels were significantly lower than those in the mild group ( P<0.05). Pearson correlation analysis showed that serum IL-9 and PAF levels were positively correlated with serum total IgE and IL-4 levels in CSU active phase patients (IL-9: r=0.726, 0.870, PAF: r=0.788, 0.795, all P<0.01), and negatively correlated with serum IFN-γ levels (IL-9: r=-0.831, PAF: r=-0.816, all P<0.01). Conclusions:The serum levels of IL-9 and PAF in patients with active CSU are elevated and correlated with total IgE, IFN-γ, and IL-4 levels, suggesting that IL-9 and PAF may be related to the occurrence and development of CSU.

A novel technology is proposed for non-contact and real-time detection of atrial fibrillation using millimeter-wave radar.A 60 GHz PCR millimeter wave radar is used to continuously detect the chest echo signal of the subject.After signal acquisition,I-Q signal is generated through I-Q demodulation,and the signal phase information is extracted using effective points phase trend evaluation for obtaining the signals from oscillations in the chest wall,from which the respiratory signals and cardiac signals are extracted through digital filtering for the analysis of cardiac movement.Whether the atrial fibrillation occurs or not is determined by the characteristics of atrial fibrillation wave in the time domain.The effective points phase trend evaluation for extracting more accurate signal phase information and the time-domain method for real-time atrial fibrillation detection are the innovations of the study.The experimental results show that the proposed method achieves a detection accuracy of 99.2%in clinic.

Objective:To construct an prediction model based on magnetic resonance imaging (MRI) machine learning algorithm and radiomics and investigate its application value in predicting lymphovascular invasion (LVI) status of rectal cancer without lymph node metastasis.Methods:The retrospective cohort study was conducted. The clinicopathological data of 204 rectal cancer patients without lymph node metastasis who were admitted to Gansu Provincial Hospital from February 2016 to January 2024 were collected. There were 123 males and 81 females, aged (61±7)years. All 204 patients were randomly divided into the training dataset of 163 cases and the testing dataset of 41 cases by a ratio of 8∶2 using the electronic computer randomization method. The training dataset was used to construct the prediction model, and the testing dataset was used to validate the prediction model. The clinical prediction model, radiomics model and joint prediction model were constructed based on the selected clinical and/or imaging features. Measurement data with normal distribution were represented as Mean± SD. Count data were described as absolute numbers, and the chi-square test or Fisher exact probability were used for comparison between the groups. Comparison of ordinal data was conducted using the nonparameter rank sum test. The inter-class correlation coefficient (ICC) was used to evaluate the consistency of the radiomics features of the two doctors, and ICC >0.80 was good consistency. Univariate analysis was conducted by corres-ponding statistic methods. Multivariate analysis was conducted by Logistic stepwise regression model. The receiver operating characteristic (ROC) curve was drawn, and the area under the curve (AUC), Delong test, decision curve and clinical impact curve were used to evaluate the diagnostic efficiency and clinical utility of the model. Result:(1) Analysis of factors affecting LVI status of patients. Of the 204 rectal cancer patients without lymph node metastasis, there were 71 cases with positive of LVI and 133 cases with negative of LVI. Results of multivariate analysis showed that gender, platelet (PLT) count and carcinoembryonic antigen (CEA) were independent factors affecting LVI status of rectal cancer without lymph node metastasis in training dataset [ odds ratio=2.405, 25.062, 2.528, 95% confidence interval ( CI) as 1.093-5.291, 2.748-228.604, 1.181-5.410, P<0.05]. (2) Construction of clinical prediction model. The clinical prediction model was conducted based on the results of multivariate analysis including gender, PLT count and CEA. Results of ROC curve showed that the AUC, accuracy, sensitivity and specificity of clinical prediction model were 0.721 (95% CI as 0.637-0.805), 0.675, 0.632 and 0.698 for the training dataset, and 0.795 (95% CI as 0.644-0.946), 0.805, 1.000 and 0.429 for the testing dataset. Results of Delong test showed that there was no significant difference in the AUC of clinical prediction model between the training dataset and the testing dataset ( Z=-0.836, P>0.05). (3) Construction of radiomics model. A total of 851 radiomics features were extracted from 204 patients, and seven machine learning algorithms, including logistic regression, support vector machine, Gaussian process, logistic regression-lasso algorithm, linear discriminant analysis, naive Bayes and automatic encoder, were used to construct the prediction model. Eight radiomics features were finally selected from the optimal Gaussian process learning algorithm to construct a radiomics prediction model. Results of ROC curve showed that the AUC, accuracy, sensitivity and specificity of radiomics prediction model were 0.857 (95% CI as 0.800-0.914), 0.748, 0.947 and 0.642 for the training dataset, and 0.725 (95% CI as 0.571-0.878), 0.634, 1.000 and 0.444 for the testing dataset. Results of Delong test showed that there was no significant difference in the AUC of radiomics prediction model between the training dataset and the testing dataset ( Z=1.578, P>0.05). (4) Construction of joint prediction model. The joint prediction model was constructed based on the results of multivariate analysis and the radiomics features. Results of ROC curve showed that the AUC, accuracy, sensitivity and specificity of radiomics prediction model were 0.885 (95% CI as 0.832-0.938), 0.791, 0.912 and 0.726 for the training dataset, and 0.857 (95% CI as 0.731-0.984), 0.854, 0.714 and 0.926 for the testing dataset. Results of Delong test showed that there was no significant difference in the AUC of joint prediction model between the training dataset and the testing dataset ( Z=0.395, P>0.05). (5) Performance comparison of three prediction models. Results of the Hosmer-Lemeshow goodness-of-fit test showed that all of the clinical prediction model, radiomics prodiction model and joint prediction model having good fitting degree ( χ2=1.464, 12.763, 10.828, P>0.05). Results of Delong test showed that there was no signifi-cant difference in the AUC between the clinical prediction model and the joint prediction model or the radiomics model ( Z=1.146, 0.658, P>0.05), and there was a significant difference in the AUC between the joint prediction model and the radiomics model ( Z=2.001, P<0.05). Results of calibra-tion curve showed a good performance in the joint prediction model. Results of decision curve and clinical impact curve showed that the performance of joint prediction model in predicting LVI status of rectal cancer without lymph node metastasis was superior to the clinical prediction model and the radiomics model. Conclusions:The clinical prediction model is constructed based on gender, PLT count and CEA. The radiomics predictive model is constructed based on 8 selected radiomics features. The joint prediction model is constructed based on the clinical prediction model and the radiomics predictive model. All of the three models can predict the LVI status of rectal cancer with-out lymph node metastasis, and the joint prediction model has a superior predictive performance.

Objective:To explore the clinical effects of a series of posture intervention strategies on correcting abnormal fetal position, so as to provide a basis for Clinical position management and promotion of natural delivery.Methods:This study was a randomized controlled trial. The convenience sampling method was used to select 196 full-term primiparas women with abnormal fetal orientation confirmed by ultrasound as single fetal head position in the Women′s Hospital, School of Medicine, Zhejiang University from March to October 2022 as the research objects. They were divided into control group 106 cases and research group 90 cases by random number table method. The control group received normal nursing and chose comfortable position by themselves during labor. The research group received a series of ultrasound-guided postural intervention strategies for postural management in the first and second stages of labor on the basis of normal nursing. The angle of progression and the midline angle, the fetal orientation, fetal orientation during complete uterine orifice and delivery outcome were compared between the two groups.Results:Finally, 190 cases were included, 105 cases in the control group and 85 cases in the research group. There were 76 vaginal deliveries in the research group and 95 in the control group. The rate of anterior occipital position and the angle of fetal head rotation in the research group were 73.68% (56/76) and 64.55 (37.90, 85.55)°, which were higher than 45.26% (43/95) and 33.00 (14.00, 60.00)° in the control group;the midline angle of the research group was 57.10(38.50, 75.80)°, which was lower than 80.00 (52.50, 90.30)° of the control group. There was significant difference between the two groups ( χ2 = 14.14, Z = 4.17, - 3.74, all P<0.01). The first stage of labor was 522.50 (413.00, 695.00) minutes and the total stage of labor was 611.00 (488.00, 812.00) minutes in the research group, which was lower than 620.00 (450.00, 795.00) and 700.00 (539.00, 904.00) minutes in the control group ( Z = - 2.34, - 2.03, both P<0.05). Conclusions:The application of the serial position intervention strategy under the ultrasound guidance during the labor process can improve the abnormal fetal position, shorten the first stage of labor time effectively and safely, while it does not have any significant effect on the improvement of the delivery outcome.

Objective:To explore the relationship of serum interleukin (IL) -9 and platelet-activating factor (PAF) levels with serum total immunoglobulin E (IgE) levels, disease severity and disease course in patients with chronic spontaneous urticaria (CSU) .Methods:A total of 60 patients with active CSU were collected from Department of Dermatology, the First Affiliated Hospital of Hebei North University from March 2018 to March 2019 (active CSU group), and divided into mild group, moderate group and severe group according to 7-day urticaria activity score (UAS7). After 28-day standard antihistamine therapy, the patients whose condition became stable were included in the stable CSU group. During the same period, 30 health examinees were included in the healthy control group. Peripheral venous blood samples were collected from the subjects in each group, enzyme-linked immunosorbent assay (ELISA) was performed to detect serum levels of IL-9 and PAF, and immunoturbidimetric assay to detect the serum total IgE level. Correlations of serum IL-9 and PAF levels with serum total IgE levels, UAS7 scores and disease courses were analyzed in patients with CSU. One-way analysis of variance was used for comparisons among multiple groups, least significant difference- t test for multiple comparisons, and Pearson correlation analysis for correlation analysis. Results:Totally, 28 males and 32 females were included in the active CSU group, their age ranged from 11 to 68 years (34.68 ± 8.62 years), and the disease duration ranged from 2 months to 7 years (1.42 ± 0.41 years). In the healthy control group, 14 were males and 16 were females, and their age ranged from 10 to 70 years (35.06 ± 7.89 years). According to UAS7, 12, 26, and 22 patients were diagnosed with mild, moderate and severe CSU respectively, and 22 were included in the stable CSU group after standard treatment. The levels of serum IL-9, PAF and total IgE significantly differed among the active CSU group, stable CSU group and healthy control group (IL-9: 144.34 ± 23.19 vs. 109.25 ± 20.77 vs. 107.23 ± 19.23 pg/ml; PAF: 362.45 ± 51.45 vs. 223.18 ± 32.46 vs. 221.23 ± 28.38 pg/ml; total IgE: 168.12 ± 32.48 vs. 24.04 ± 7.04 vs. 21.76 ± 5.95 IU/ml; F = 38.80, 148.38, 499.12, respectively, all P < 0.001), and were significantly higher in the active CSU group than in the stable CSU group and healthy control group (all P < 0.05), while there was no significant difference between the stable CSU group and healthy control group (all P > 0.05). Pearson correlation analysis showed that the serum IL-9 and PAF levels were positively correlated with serum total IgE levels and UAS7 scores (all P < 0.05), but not correlated with the disease course (both P > 0.05) . Conclusion:Serum IL-9 and PAF levels in patients with active CSU were markedly elevated along with the increase in disease severity, and closely correlated with serum total IgE levels.