A New Method for Bearing Fault Diagnosis across Machines Based on Envelope Spectrum and Conditional Metric Learning.

In recent years, most research on bearing fault diagnosis has assumed that the source domain and target domain data come from the same machine. The differences in equipment lead to a decrease in diagnostic accuracy. To address this issue, unsupervised domain adaptation techniques have been introduced. However, most cross-device fault diagnosis models overlook the discriminative information under the marginal distribution, which restricts the performance of the models. In this paper, we propose a bearing fault diagnosis method based on envelope spectrum and conditional metric learning. First, envelope spectral analysis is used to extract frequency domain features. Then, to fully utilize the discriminative information from the label distribution, we construct a deep Siamese convolutional neural network based on conditional metric learning to eliminate the data distribution differences and extract common features from the source and target domain data. Finally, dynamic weighting factors are employed to improve the convergence performance of the model and optimize the training process. Experimental analysis is conducted on 12 cross-device tasks and compared with other relevant methods. The results show that the proposed method achieves the best performance on all three evaluation metrics.

Clinical Efficacy and Safety of Liraglutide and Dapagliflozin on Glucose and Lipid Metabolism and Insulin Function in Patients with Type 2 Diabetes Mellitus.

Objective: Observe the changes in clinical indicators of patients with early diabetic nephropathy treated with liraglutide or dapagliflozin, evaluate their clinical efficacy, and provide new ideas for the treatment of diabetic patients. Methods: In this study, from January 2020 to January 2022, a total of 120 patients with early-stage type 2 diabetic nephropathy who met the inclusion criteria were selected. According to the order of treatment, the patients were randomly divided into traditional group, liraglutide group and dapagliflozin group, with 40 cases in each group. All patients continued their previous conventional hypoglycemic treatment, and the traditional group did not need to adjust the treatment plan; the liraglutide group: added liraglutide (average dose was 1.2 mg daily); the dapagliflozin group: added dapagliflozin (average dose was 10 mg daily). At the same time, all patients received dietary guidance and appropriate exercise intervention for a total of 12 weeks. The changes in blood sugar, blood lipids, pancreatic islet function, liver function, weight, body mass index (BMI) and other indicators before and after treatment were compared, and the adverse reactions that occurred during the medication of the three groups of patients were recorded. Standard doses of liraglutide and dapagliflozin were used in the treatment groups, 0.6 mg daily and 10 mg daily, respectively. These standard doses have been shown to be effective in a wide range of clinical practices and were therefore chosen in this study to ensure consistency and comparability. This helps readers better understand the study methods and results to evaluate these specific dosing options. Results: Prior to treatment, there were no significant differences in the general data and indicators among the three groups, including FPG, 2hPG, HbA1c, TC, TG, HDL-C, LDL-C, ALT, AST, HOMA-IR, FINS, and HOMA-ß (all P > .05). In the conventional group, significant changes were observed in FPG, 2hPG, HbA1c, body weight, BMI, HDL-C, LDL-C, ALT, AST, HOMA-IR, FINS, and HOMA-ß compared to the pre-treatment period, and these differences were statistically significant (all P < .05).Both the liraglutide and dagliflozin groups exhibited significant changes in FPG, 2hPG, HbA1c, TC, TG, LDL-C, HOMA-IR, FINS, HOMA-ß, body weight, BMI, HDL-C, ALT, and AST when compared to the post-treatment period, and these changes were statistically significant (all P < .05). Post-treatment analysis revealed that in terms of blood glucose, FPG, 2hPG, and HbA1c decreased more significantly in the liraglutide and dagliflozin groups compared to the conventional group (all P < .05). Regarding lipids, TC, TG, and LDL-C decreased more significantly in the liraglutide and dagliflozin groups compared to the conventional group (all P < .05). For pancreatic islet function, HOMA-IR and HOMA-ß decreased more significantly compared to the conventional group (all P < .05). Weight and BMI decreased more significantly in the liraglutide and dagliflozin groups compared to the conventional group (all P < .05). However, there were no significant differences in hepatic function among the three groups after treatment.Post-treatment comparisons between the liraglutide and dagliflozin groups revealed significant differences in FPG, HbA1c, body weight, and BMI (all P < .05). No adverse events occurred during the treatment period in any of the three groups, and there were no reported deaths. Conclusion: The addition of liraglutide or dagliflozin to conventional hypoglycaemic drug therapy in early diabetic patients can not only bring blood glucose to a safe and faster standard, but also regulate blood lipids and glucose, and the therapeutic effect of liraglutide is obvious than that of dagliflozin in terms of blood glucose regulation. Study limitations include small sample size, short study duration, unspecified exclusion criteria, unclear randomization method, and the impact of patient compliance.

Identification and expression analysis of the small auxin-up RNA (SAUR) gene family in Lycium ruthenicum.

The plant hormone auxin regulates numerous aspects of plant growth and development, and small auxin-up RNA (SAUR) is the largest family of early auxin response genes in higher plants. SAUR has been implicated in the regulation of multiple biological processes. However, no comprehensive analysis of SAUR genes has been reported in Lycium ruthenicum. L. ruthenicum is a thorny shrub with very pronounced salt and drought tolerance, and studies have shown that stem thorns are related to drought tolerance in L. ruthenicum. In this study, the identification, phylogenetic analysis, and conserved motif prediction of SAUR genes were extensively explored. Furthermore, the tissue expression patterns of selected SAUR genes were assayed with quantitative real-time polymerase chain reaction (RT-qPCR). A total of 33 putative LrSAURs were identified and divided into three clusters in a phylogenetic tree of L. ruthenicum. MEME analysis identified 10 motifs in L. ruthenicum, and the results suggested that motif 1 and motif 3 were widely distributed. Analyzing the transcriptome data of stem thorns at four developmental stages indicated that LrSAURs were differentially expressed in L. ruthenicum, and could be divided into six expression patterns. The RT-qPCR analysis of 21 genes showed that LrSAUR2, LrSAUR8, LrSAUR9, LrSAUR11, LrSAUR12, and LrSAUR19 were mainly expressed in stems and stem thorns, and may be related to stem thorn development.

Fusion of visible and infrared images using GE-WA model and VGG-19 network.

For the low computational efficiency, the existence of false targets, blurred targets, and halo occluded targets of existing image fusion models, a novel fusion method of visible and infrared images using GE-WA model and VGG-19 network is proposed. First, Laplacian is used to decompose the visible and infrared images into basic images and detail content. Next, a Gaussian estimation function is constructed, and a basic fusion scheme using the GE-WA model is designed to obtain a basic fusion image that eliminates halo of visible image. Then, the pre-trained VGG-19 network and the multi-layer fusion strategy are used to extract the fusion of different depth features of the visible and infrared images, and also obtain the fused detail content with different depth features. Finally, the fusion image is reconstructed by the basic image and detail content after fusion. The experiments show that the comprehensive evaluation FQ of the proposed method is better than other comparison methods, and has better performance in the aspects of image fusion speed, halo elimination of visible image, and image fusion quality, which is more suitable for visible and infrared image fusion in complex environments.

Comparison study of tooth enamel ESR spectra of cows, goats and humans.

The ESR radiation dosimetric properties of tooth enamel samples from cows and goats were investigated and compared with those of human samples. Samples were prepared first mechanically, and then chemically. The study results showed that the native signals from cow and goat samples were weaker than those from human samples; the radiation sensitivities for cow and goat samples were very close to those of human tooth enamel samples. These results indicated that cow and goat teeth could be alternative materials for radiation dose estimation.

Changes in the electron paramagnetic resonance spectra of albumin-associated spin-labeled stearic acid as a diagnostic parameter of colorectal cancer.

BACKGROUND: With more than 940,000 new colorectal cancer cases worldwide each year, there is no better way for colorectal cancer routine screening. The aim of this study was to investigate whether the fatty acid binding to albumin is detectably and significantly altered in colorectal cancer patients when compared with healthy people, in order to find a better way for colorectal cancer diagnosis. METHODS: One hundred and forty-one patients operatively treated for colorectal cancer were included in the examination, and 180 healthy people were also enrolled as controls. Commercial 16-doxyl stearic acid was used as spin probe. Serum albumin was analyzed by electron paramagnetic resonance (EPR) with spin probe. Discriminant analysis was carried out using the measured EPR spectra by SPSS 20.0. RESULTS: Of the original grouped cases, 89.4% were correctly classified. Of the cross-validated grouped cases, 86.9% were correctly classified. Using Fisher linear discriminant analysis we were able to develop a mathematical model allowing for identification of colorectal cancer patients based on five values (both relative intensity and peak width) which are obtained from the EPR spectrum. CONCLUSIONS: Cancer-associated alterations to albumin can be assessed by spin-label EPR. The potential applications for this diagnostic technique are significant and represent a cost-effective means for screening patients with cancer. Spin probe for diagnosis of colorectal cancer might be a useful tool and further studies should take place in order to investigate all stages of colorectal cancer patients.