Objective To identify key acoustic features associated with the progression of Alzheimer's disease(AD)through voice analysis combined with machine learning and feature selection techniques,thereby constructing classification models that serve as candidate tools for the early screening of AD.Methods Voice samples from AD,mild cognitive impairment(MCI)and healthy(HC)elderly individuals were obtained from the NCMMSC2021 AD voice dataset.The voice samples underwent data preprocessing,followed by feature extraction from the eGeMAPS feature set via the OpenSmile toolkit.Classification models were obtained utilizing random forest and support vector machine(SVM)algorithms.Significance testing and feature importance ranking were conducted using Python,and the further selection of the optimal features was performed through sequential forward selection(SFS).The classification performance before and after feature selection was compared and evaluated using accuracy and the area under the receiver operating characteristic curve(AUC).Results The significant acoustic features in the classification models primarily derived from spectral slope,formant,fundamental frequency,and loudness.The optimal classification performance was achieved with the SVM model following SFS feature selection,with recognition accuracies of 0.926(AUC=0.974)for AD/MCI group,0.875(AUC=0.956)for AD/HC group,and 0.879(AUC=0.904)for MCI/HC group.Conclusion SVM model performs better than random forest model,and the use of SFS for feature selection can effectively enhance model performance.Voice analysis has the potential to serve as a valuable supplementary tool for the rapid AD assessment and screening.

Objective:To investigate the application effect of BOPPPS+team-based learning (TBL) based on the concept of outcome-based education (OBE) in the teaching of infectious rash and fever illnesses in children.Methods:A total of 199 undergraduate students of the class 2019 in the five-year program of Department of Pediatrics in Chongqing Medical University were selected as subjects, and they were divided into experimental group with 99 students and control group with 100 students using a random number table. The students in the experimental group received BOPPPS+TBL teaching based on the OBE concept, while those in the control group received traditional teaching. After the end of the curriculum, scores were compared between the two groups, and a questionnaire survey was conducted for self-evaluation of teaching and learning effectiveness and the acceptance of teaching models. SPSS 22.0 was used to perform the t-test and the chi-square test. Results:The experimental group had a significantly higher score of the course than the control group [(88.08±5.31) vs. (85.62±8.44), P=0.014]. The questionnaire survey showed that compared with the control group, the experimental group had significantly higher scores of the self-evaluation of teaching effectiveness [(4.40±0.75) vs. (3.36±1.13), P<0.001] and learning effectiveness [(4.31±0.84) vs. (3.35±1.19), P<0.001]. In the experimental group, 96.96% (96/99) of the students believed that BOPPPS+TBL teaching based on the OBE concept could help students to master and understand the knowledge points, and 93.93% (93/99) of the students were willing to use this teaching model in future learning. Conclusions:BOPPPS+TBL teaching based on the OBE concept can help to achieve teaching objectives and significantly improve student satisfaction and learning outcomes.

Objective To identify key acoustic features associated with the progression of Alzheimer's disease(AD)through voice analysis combined with machine learning and feature selection techniques,thereby constructing classification models that serve as candidate tools for the early screening of AD.Methods Voice samples from AD,mild cognitive impairment(MCI)and healthy(HC)elderly individuals were obtained from the NCMMSC2021 AD voice dataset.The voice samples underwent data preprocessing,followed by feature extraction from the eGeMAPS feature set via the OpenSmile toolkit.Classification models were obtained utilizing random forest and support vector machine(SVM)algorithms.Significance testing and feature importance ranking were conducted using Python,and the further selection of the optimal features was performed through sequential forward selection(SFS).The classification performance before and after feature selection was compared and evaluated using accuracy and the area under the receiver operating characteristic curve(AUC).Results The significant acoustic features in the classification models primarily derived from spectral slope,formant,fundamental frequency,and loudness.The optimal classification performance was achieved with the SVM model following SFS feature selection,with recognition accuracies of 0.926(AUC=0.974)for AD/MCI group,0.875(AUC=0.956)for AD/HC group,and 0.879(AUC=0.904)for MCI/HC group.Conclusion SVM model performs better than random forest model,and the use of SFS for feature selection can effectively enhance model performance.Voice analysis has the potential to serve as a valuable supplementary tool for the rapid AD assessment and screening.

Objective:To investigate the application effect of BOPPPS+team-based learning (TBL) based on the concept of outcome-based education (OBE) in the teaching of infectious rash and fever illnesses in children.Methods:A total of 199 undergraduate students of the class 2019 in the five-year program of Department of Pediatrics in Chongqing Medical University were selected as subjects, and they were divided into experimental group with 99 students and control group with 100 students using a random number table. The students in the experimental group received BOPPPS+TBL teaching based on the OBE concept, while those in the control group received traditional teaching. After the end of the curriculum, scores were compared between the two groups, and a questionnaire survey was conducted for self-evaluation of teaching and learning effectiveness and the acceptance of teaching models. SPSS 22.0 was used to perform the t-test and the chi-square test. Results:The experimental group had a significantly higher score of the course than the control group [(88.08±5.31) vs. (85.62±8.44), P=0.014]. The questionnaire survey showed that compared with the control group, the experimental group had significantly higher scores of the self-evaluation of teaching effectiveness [(4.40±0.75) vs. (3.36±1.13), P<0.001] and learning effectiveness [(4.31±0.84) vs. (3.35±1.19), P<0.001]. In the experimental group, 96.96% (96/99) of the students believed that BOPPPS+TBL teaching based on the OBE concept could help students to master and understand the knowledge points, and 93.93% (93/99) of the students were willing to use this teaching model in future learning. Conclusions:BOPPPS+TBL teaching based on the OBE concept can help to achieve teaching objectives and significantly improve student satisfaction and learning outcomes.

Objective:To investigate the application effect of flipped classroom combined with micro-lectures in the teaching of pediatric infectious diseases.Methods:A total of 199 five-year students in the class of 2019 from Department of Pediatrics of Chongqing Medical University were divided into 14 groups. Each group selected a micro-lecture theme targeting the key and difficult points of the course and produced an original micro-lecture video through flipped classroom, which was then uploaded to Chaoxing platform for evaluation by teachers and students. At the end of the course, a questionnaire survey was performed to investigate the teaching effect, and final examination score and department examination score during internship were compared between the students in the class of 2019 and those in the class of 2018. SPSS 22.0 was used to perform the t-test, the Wilcoxon rank-sum test, the chi-square test, and the Fisher's exact test. Results:A total of 14 flipped micro-lecture works were completed by the students. The questionnaire survey showed that 98.47% (193/196) of the students thought that this model was helpful to master the key and difficult points; 93.88% (184/196) of the students thought that the flipped micro-lecture works had better originality and quality than reading reports and literature reviews in the past; 94.90% (186/196) of the students were more willing to accept the mode of flipped classroom combined with micro-lectures. Compared with the students in the class of 2018, the students in the class of 2019 had significantly higher final examination score (79.32±7.53 vs. 76.06±12.01, P<0.001), theoretical score of department examination (88.68±4.87 vs. 87.15±4.09, P<0.001), and operation score of department examination (84.93±7.56 vs. 82.08±9.10, P<0.001). Conclusion:Flipped classroom combined with micro-lectures can effectively solve the key and difficult points in the teaching of pediatric infectious diseases, and it can also stimulate the interest in independent learning and help to improve learning performance among students. Therefore, it holds promise for clinical application.

Ampullary carcinoma is a rare malignant tumor of the digestive tract. Compared with other malignant tumors around the ampulla, its prognosis is significantly better, but the prognosis of some patients with ampulla cancer is unsatisfactory. Studies have confirmed that the systemic inflammatory response is closely related to the prognosis and efficacy of tumors, and the tumor microenvironment plays a vital role in tumor progression and prognosis. In recent years, inflammatory parameters and related prediction models have become a hot spot in predicting the prognosis and survival of ampullary cancer, and they have been confirmed to have certain predictive value. This article reviews the correlation between inflammatory parameters and prognosis of ampullary carcinoma and presents the possible progress for future research.

Objective:To investigate the clinical characteristics of pediatric methicillin-resistant Staphylococcus aureus (MRSA) infection and the antibiotic sensitivity of the isolates. Methods:The clinical data of children with MRSA infection and antibiotic sensitivity of the isolates from 11 children′s hospitals in Infectious Diseases Surveillance of Paediatrics (ISPED) group of China between January 1, 2018 and December 31, 2018 were collected retrospectively. The children′s general condition, high-risk factors, antimicrobial therapy and prognosis, differences in clinical disease and laboratory test results between different age groups, and differences of antibiotic sensitivity between community-acquired (CA)-MRSA and hospital-acquired (HA)-MRSA were analyzed. The t test and Wilcoxon rank sum test were used for statistical analysis of the quantitative data and Chi-square test were used for comparison of rates. Results:Among the 452 patients, 264 were males and 188 were females, aged from 2 days to 17 years. There were 233 cases (51.5%) in the ≤1 year old group, 79 cases (17.5%) in the>1-3 years old group, 29 cases (6.4%) in the >3-5 years old group, 65 cases (14.4%) in the >5-10 years old group, and 46 cases (10.2%) in the>10 years old group. The main distributions of onset seasons were 55 cases (12.2%) in December, 47 cases (10.4%) in February, 46 cases (10.2%) in November, 45 cases (10.0%) in January, 40 cases (8.8%) in March. There were 335 cases (74.1%) CA-MRSA and 117 (25.9%) cases HA-MRSA. Among all cases, 174 cases (38.5%) had basic diseases or long-term use of hormone and immunosuppressive drugs. During the period of hospitalization, 209 cases (46.2%) received medical interventions. There were 182 patients (40.3%) had used antibiotics (β-lactams, glycopeptides, macrolides, carbapenems, oxazolones, sulfonamides etc) 3 months before admission. The most common clinical disease was pneumonia (203 cases), followed by skin soft-tissue infection (133 cases), sepsis (92 cases), deep tissue abscess (42 cases), osteomyelitis (40 cases), and septic arthritis (26 cases), suppurative meningitis (10 cases). The proportion of pneumonia in the ≤1 year old group was higher than the >1-3 years old group,>3-5 years old group,>5-10 years old group,>10 years old group (57.5% (134/233) vs. 30.4% (24/79), 31.0% (9/29), 38.5% (25/65), 23.9% (11/46), χ 2=17.374, 7.293, 7.410, 17.373, all P<0.01) The proportion of skin and soft tissue infections caused by CA-MRSA infection was higher than HA-MRSA (33.4% (112/335) vs. 17.9% (21/117), χ 2=10.010, P=0.002), and the proportion of pneumonia caused by HA-MRSA infection was higher than CA-MRSA (53.0% (62/117) vs. 42.1% (141/335), χ 2=4.166, P=0.041). The first white blood cell count of the ≤1 year old group was higher than that children > 1 year old ((15±8)×10 9/L vs. (13±7)×10 9/L, t=2.697, P=0.007), while the C-reactive protein of the ≤1 year old group was lower than the 1-3 years old group,>5-10 years old group,>10 years old group (8.00 (0.04-194.00) vs.17.00 (0.50-316.00), 15.20 (0.23-312.00), 21.79(0.13-219.00) mg/L, Z=3.207, 2.044, 2.513, all P<0.05), there were no significant differences in procalcitonin (PCT) between different age groups (all P>0.05). After the treatment, 131 cases were cured, 278 cases were improved, 21 cases were not cured, 12 cases died, and 10 cases were abandoned. The 452 MRSA isolates were all sensitive to vancomycin (100.0%), linezolid (100.0%), 100.0% resistant to penicillin, highly resistant to erythromycin (85.0%, 375/441), clindamycin (67.7%, 294/434), less resistant to sulfonamides (5.9%, 23/391), levofloxacin (4.5%, 19/423), gentamicin (3.2%, 14/438), rifampicin (1.8%, 8/440), minocycline (1.1%, 1/91). The antimicrobial resistance rates were not significantly different between the CA-MRSA and HA-MRSA groups (all P>0.05). Conclusions:The infection of MRSA is mainly found in infants under 3 years old. The prevalent seasons are winter and spring, and MRSA is mainly acquired in the community. The main clinical diseases are pneumonia, skin soft-tissue infection and sepsis. No MRSA isolate is resistant to vancomycin, linezolid. MRSA isolates are generally sensitive to sulfonamides, levofloxacin, gentamicin, rifampicin, minocycline, and were highly resistant to erythromycin and clindamycin. To achieve better prognosis. clinicians should initiate anti-infective treatment for children with MRSA infection according to the clinical characteristics of patients and drug sensitivity of the isolates timely and effectively.