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Objective To construct a model of heart failure risk prediction based on four machine learning algorithms in order to support early diagnosis and intervention. Methods After reviewing the heart failure dataset published on the Kaggle community, feature selection was used to select relevant factors related to heart failure as predictive indicators. Four machine learning algorithms, namely logistic regression, support vector machine, random forest, and XGBoost were selected to establish predictive models. Compared and analyzed its accuracy, precision, recall, F1 score and area under the ROC curve (AUC) to verify the performance of the model. Results The study analyzed 11 features of 918 patients with heart failure and selected 10 feature factors for modeling. After optimizing the hyper-parameters through grid search, the XGBoost model performed the best, with accuracy, precision, recall, and f1_score and AUC values were 87.5%, 90.38%, 89.71%, 90.04% and 0.93, respectively. In addition, data analysis showed that exercise ST slope, chest pain type, and exercise induced angina were main influencing factors for heart failure. Conclusions The XG Boost model has the best predictive tool for heart failure, and machine learning algorithms may support early prevention, early diagnosis as well as control of heart failure.

The title of Academician of the Chinese Academy of Sciences (CAS) represents the highest accolade in China's scientific research field. Profiling the characteristics of CAS academicians can provide crucial insights into the current state of scientific research in China and play a vital role in fostering innovation and cultivating talents for the society. This study conducted a comprehensive quantitative analysis of the birthplaces, ages, genders, educational backgrounds, institutional affiliations, and administrative roles of newly elected CAS academicians from 2005 to 2023. Several key findings are identified, including: (1) the majority of newly elected CAS academicians originate from eastern and central regions of China, with about one-quarter from provincial capitals. (2) the average age of newly elected CAS academicians is younger compared to Nobel Prize laureates in natural sciences. (3) the percentage of newly elected CAS academicians who possess doctorate degrees has been increasing year by year. (4) the work units of newly elected CAS academicians are primarily the Chinese Academy of Sciences and its affiliated research institutes, as well as universities directly under the Ministry of Education. The average number of administrative positions held by these academicians is around four, and the number of positions held after their election tends to be higher than before. (5) Newly elected foreign academicians primarily originate from western developed countries, such as the United States and some other European countries. [ABSTRACT FROM AUTHOR]

Objective To explore the expression of cancer stem cells (CSC) markers named ABCG2, CD44, CD34 in hu man nasopharyngeal carcinoma(NPC) CNE-2,5-8F and 6-10B cell lines to provide the basis of CSC markers research of NPC. Methods The NPC cell lines of CNE2, 5-8F and 6-10B were cultivated regularly, of which, ABCG2, CD44, CD34 cell ratio was detected with flow cytometry. Results ABCG2 positive cells accounted about 0.1% ,18.6% and 19.9% in the CNE-2,5-8F,6- 10B cell lines. CD44 positive cells accounted 99.5%, 93.2% and 99.1% in the CNE-2, 5-8F and 6-10B cell lines. CD34 positive cells accounted 0, 3.0%and 0.1% in the CNE2,5-8F,and 6-10B cell lines. ABCG2+ CD44+ cell interation accounted about 11.6% and ABCG2+CD44+ cell interation accounted about 0 in 5-8F cell lines. Conclusion The expression proportion of CD34Q in the 5-8F and 6-10B cell lines confirms to CSC markers of the CSC theory. CD34 may be deemed as a candidate marker of nasopharyngeal neoplas. [ABSTRACT FROM AUTHOR]

Objective: To study the expression of Cyclin D1 in nasopharyngeal carcinoma cells processed by epigallocatechin gallate(EGCG) and it's significance, and revealed the anti-tumor mechanism of EGCG against nasopharyngeal carcinoma., Method: CNE-2 cells were treated by EGCG at different concentrations, the morphological changes of CNE-2 cells were observed by inverted microscope; the inhibition ratio of cell proliferation was detected by MTT colorimetric method, flow cytometry was used to analyze the changes of cell cycle. The expression of Cyclin D1 mRNA was detected by RT-PCR., Result: After treated by EGCG, the CNE2 cells decreased in amount and density, some of which became roll and small; Floating and dead cells can be seen in the inverted microscopy; cell proliferation was significantly inhibited in a time and dose dependent (P < 0.05). CNE-2 cells were arrested at G1/G0 phase. The expression of Cyclin D1 mRNA was down-regulated by EGCG with concentration and action time dependent (P < 0.05)., Conclusion: EGCG resisted nasopharyngeal carcinoma by inhibiting the cell proliferation, The down regulation of Cyclin D1 mRNA expression in a time and dose dependent may be the possible mechanisms.

Objective: To discuss the effect of reducing the cricopharyngeal dysfunction on the Groningen prosthesis voice restoration following total laryngectomy and the effect of different methods., Method: Fifty-six patients were implanted with Groningen voice prostheses to rebuild voice after total laryngectomy. The clinical data were analyzed retrospectively., Result: Of 56 patients, 412 patients successes in voice restoration. The success rate of amputating pharynx plexus nerves group was 60.0%, amputating cricopharyngeal muscle group was 62.5%, and the amputating pharynx plexus nerves and cricopharyngeal muscle group was 96.0%., Conclusion: The combination of pharynx plexus nerves resection and cricopharyngeal myotomy can make higher success rate of voice restoration.