Search

This study compared the severity of osteoporosis and screened differentially expressed proteins in postmenopausal osteoporotic rats with varying levels of serum follicle stimulating hormone (FSH).Thirty-six Sprague Dawley female rats were divided into four groups: sham operation (sham) group, ovariectomy (OVX) group, FSH and ovariectomy (OVX + FSH) group, and Leuprorelin (LE) and ovariectomy group (OVX + LE). Body weight, serum estradiol, FSH, tartrate-resistant acid phosphatase, alkaline phosphatase, and bone mineral density were measured. We randomly selected six rats each from the OVX and OVX + FSH groups to detect differentially expressed proteins by data-independent acquisition, and we verified the results in the remaining six rats by enzyme-linked immunosorbent assay (ELISA).Nineteen proteins were upregulated and 36 proteins were downregulated in the OVX + FSH group. The expression of heat shock protein 90 alpha (Hsp90α) and 14-3-3η protein was significantly different between the OVX and OVX + FSH groups, and both were linearly correlated with bone trabecular area. Results were verified by ELISA and were found to be consistent with the results of data-independent acquisition.In rats with high serum FSH, expression of Hsp90α protein was increased and expression of 14-3-3η protein was decreased. Both changes in protein expression were strongly correlated with bone trabecular area.

Background Birthweight is an important indicator during the fetal development process to protect the maternal and infant safety. However, birthweight is difficult to be directly measured, and is usually roughly estimated by the empirical formulas according to the experience of the doctors in clinical practice. Methods This study attempts to combine multiple electronic medical records with the B-ultrasonic examination of pregnant women to construct a hybrid birth weight predicting classifier based on long short-term memory (LSTM) networks. The clinical data were collected from 5,759 Chinese pregnant women who have given birth, with more than 57,000 obstetric electronic medical records. We evaluated the prediction by the mean relative error (MRE) and the accuracy rate of different machine learning classifiers at different predicting periods for first delivery and multiple deliveries. Additionally, we evaluated the classification accuracies of different classifiers respectively for the Small-for-Gestational-age (SGA), Large-for-Gestational-Age (LGA) and Appropriate-for-Gestational-Age (AGA) groups. Results The results show that the accuracy rate of the prediction model using Convolutional Neuron Networks (CNN), Random Forest (RF), Linear-Regression, Support Vector Regression (SVR), Back Propagation Neural Network(BPNN), and the proposed hybrid-LSTM at the 40th pregnancy week for first delivery were 0.498, 0.662, 0.670, 0.680, 0.705 and 0.793, respectively. Among the groups of less than 39th pregnancy week, the 39th pregnancy week and more than 40th week, the hybrid-LSTM model obtained the best accuracy and almost the least MRE compared with those of machine learning models. Not surprisingly, all the machine learning models performed better than the empirical formula. In the SGA, LGA and AGA group experiments, the average accuracy by the empirical formula, logistic regression (LR), BPNN, CNN, RF and Hybrid-LSTM were 0.780, 0.855, 0.890, 0.906, 0.916 and 0.933, respectively. Conclusions The results of this study are helpful for the birthweight prediction and development of guidelines for clinical delivery treatments. It is also useful for the implementation of a decision support system using the temporal machine learning prediction model, as it can assist the clinicians to make correct decisions during the obstetric examinations and remind pregnant women to manage their weight.

In this paper we provide the greatest lower bound about the number of (non-infinitesimal) limit cycles surrounding a unique singular point for a planar polynomial differential system of arbitrary degree.

This study aimed to investigate the correlation between homocysteine (HCY), C-reactive protein (CRP), lipid levels, and sleep quality in perimenopausal and postmenopausal women. We collected data from 217 patients (perimenopause and postmenopausal) who visited the gynecological endocrine outpatient department of our hospital between January 2017 and January 2019. The quality and patterns of sleep were measured using the Pittsburgh Sleep Quality Index, and relationships between HCY, CRP, lipid levels, and sleep quality were analyzed according to a Pittsburgh Sleep Quality Index ≥ 8. There were significant differences in age, education level, and occupation among patients with different levels of sleep quality (P

Porosity is a common defect of the aluminum alloy pulsed alternating current (AC) argon tungsten-arc welding (TIG) welding, which can cause huge damage to weld quality. The spectral information which is directly derived from the optical radiation of the arc is intrinsically related to the welding defects. Aiming at the redundancy of arc spectral, this paper proposed a method of porosity defect detection based on fast independent component analysis (fastICA) and radial basis function (RBF) network. The spectral data is collected by spectrometer, and continuous spectra are removed by calculating lower envelope twice. Then fastICA is applied to extract features from selected line spectra. Finally, the porosity defect is detected by RBF network according to the mean value in period of extracted features. Experimental results show that the proposed method can be used to detect the porosity defects during aluminum alloy pulsed TIG welding process.

Our previous demonstrated that macrophage colony‑stimulating factor (M‑CSF) stimulated the production of estradiol (E2) and progesterone (P) in luteinized granulosa cells (GCs), and that its secretion may be regulated by follicle‑stimulating hormone (FSH). The present study aimed to examine the effect of M‑CSF alone or with Letrozole treatment on the function of non‑luteinizing granulosa cells, using the COV434 cell line, and its interaction with FSH. Human luteinized granulosa cells (LGC) were isolated from the follicular fluid of superovulated infertile patients (average age, 30.8±2.1 years) undergoing an intracytoplasmic sperm injection. The LGC were cultured with various concentrations of recombinant human macrophage colony stimulating factor (rhM‑CSF; 0, 10, 25, 50 or 100 ng/ml), rhM‑CSF+Letrozole (10‑6 mol/l), rhFSH (0, 10, 25, 50 or 100 IU/ml), or rhFSH+Letrozole (10‑6 mol/l). E2 concentrations in the media were measured using ELISA. The expression levels of the FSH receptor and the M‑CSF receptor were detected via reverse transcription‑quantitative polymerase chain reaction. Following COV434 cell treatment with M‑CSF, cell proliferation was quantified using the MTS assay and protein expression was detected by western blotting. It was demonstrated that M‑CSF and FSH stimulated the production of E2. The production of FSH receptors was enhanced by rhM‑CSF or rhM‑CSF+Letrozole in vitro in a dose‑dependent manner. It was observed that rhFSH promoted the expression of the M‑CSF receptor, at a certain concentration. Proliferation of COV434 cells increased in a dose‑dependent manner following treatment with RhM‑CSF. Furthermore, M‑CSF induced the phosphorylation of c‑Jun N‑terminal kinase (JNK) and p38; however, the level of E2 in the medium was not altered when the cells were pretreated with the JNK inhibitor SP600125 or the p38 inhibitor SB203580. The present study suggested that M‑CSF may be important in regulating the response of GCs to gonadotropin and may have a promotive effect in the early phase of follicular development. The biological effects of M‑CSF may partially be attributed to activation of the JNK and p38 signaling pathways. M‑CSF may represent a novel follicular development regulator agent in the future.

To aim at the characteristic of launch vehicle flight safety control, according to the dynamic characteristic and statistical characteristic of the data respectively from the telemetry and Exterior, this paper proposes a layered multi-stage dynamic combination Kalman filtering fusion method based on the trajectory examination and the sequential fusion, solves the problem that the reliability of fusion data is reduced because of the fused sensorpsilas blunder error or losing target and gains the accurate parameter and trajectory of launch vehicle flight. It builds the description model of launch vehicle flying status under the constraint of safety flight, uses the backward reasoning and matches the fact satisfying the condition recursively in real-time, providing the actual information of launch vehicle flight to safety control supervisors. The practical application indicated that the method proposed by this paper is feasible.

(1986). Proof of the uniqueness theorem of limit cycles of generalized lienard equations. Applicable Analysis: Vol. 23, No. 1-2, pp. 63-76.

The non linear differential equation is considered. We investigate the number of nontrivial periodic solutions of this equation depending on k ≥ 0 for µ < 0 fixed. The results obtained can be used in a problem of time optimal control for the Van der Pol equation in order to describe the process of control.