Self-organizing feature selection fuzzy neural network-based terminal sliding mode control for uncertain nonlinear systems.

A composite terminal sliding mode controller (CTSMC) for a kind of uncertain nonlinear system (UNS) is developed in this study. The primary aim of the design is to enhance the control performance of the CTSMC by learning its unknown parameters using a newly fuzzy neural network (FNN). Firstly, the stability and convergence of CTSMC for UNS with known parameters are demonstrated. Secondly, since some parameters of actual UNS are unmeasurable, a self-organizing feature selection fuzzy neural network (SOFSFNN) is intended to approach these unknown parts. Finally, the CTSMC using SOFSFNN is applied to UNS. The outcomes demonstrate that it has minimal tracking error, good robustness, and the ability to dynamically modify the network structure.

Nomogram for predicting the risk of nosocomial infections among obstetric inpatients: a large-scale retrospective study in China.

OBJECTIVE: This study aimed to develop and validate a nomogram for assessing the risk of nosocomial infections among obstetric inpatients, providing a valuable reference for predicting and mitigating the risk of postpartum infections. METHODS: A retrospective observational study was performed on a cohort of 28,608 obstetric patients admitted for childbirth between 2017 and 2022. Data from the year 2022, comprising 4,153 inpatients, were utilized for model validation. Univariable and multivariable stepwise logistic regression analyses were employed to identify the factors influencing nosocomial infections among obstetric inpatients. A nomogram was subsequently developed based on the final predictive model. The receiver operating characteristic (ROC) curve was utilized to calculate the area under the curve (AUC) to evaluate the predictive accuracy of the nomogram in both the training and validation datasets. RESULTS: The gestational weeks > = 37, prenatal anemia, prenatal hypoproteinemia, premature rupture of membranes (PROM), cesarean sction, operative delivery, adverse birth outcomes, length of hospitalization (days) > 5, CVC use and catheterization of ureter were included in the ultimate prediction model. The AUC of the nomogram was 0.828 (0.823, 0.833) in the training dataset and 0.855 (0.844, 0.865) in the validation dataset. CONCLUSION: Through a large-scale retrospective study conducted in China, we developed and independently validated a nomogram to enable personalized postpartum infections risk estimates for obstetric inpatients. Its clinical application can facilitate early identification of high-risk groups, enabling timely infection prevention and control measures.

ZEB1 Promotes Epithelial-Mesenchymal Transition of Endometrial Epithelial Cells and Plays a Critical Role in Embryo Implantation in Mice.

Zinc finger E-box binding homeobox 1 (ZEB1) promotes epithelial-mesenchymal transition (EMT) in carcinogenesis, but its role in embryo implantation has not yet been well studied. In the present study we evaluated the hypothesis that ZEB1-induced EMT is essential for embryo implantation in vivo. Endometrial epithelium from female Kunming mice (non-pregnant, and pregnant from day 2.5 to 6.5) were collected for assessment of mRNA/protein expression of ZEB1, and EMT markers E-cadherin and vimentin, by employment of real-time quantitative reverse transcription PCR, Western blot, and immunohistochemical staining. To test if knockdown of ZEB1 affects embryo implantation in vivo, mice received intrauterine injection of shZEB1 before the number of embryos implanted was counted. The results showed that, ZEB1 was highly expressed at both mRNA and protein levels in the mouse endometrium on day 4.5 of pregnancy, paralleled with down-regulated E-cadherin and up-regulated vimentin expression (P < 0.05). Intrauterine injection of shZEB1 markedly suppressed embryo implantation in mice (P < 0.01). Conclusively, the present work demonstrated that ZEB1 is essential for embryo implantation under in vivo condition, and is possibly due to its effect on modulation of endometrial receptivity through EMT.