Research on Intelligent Industrial Park Management System

In recent years, the scale of industrial parks in China has grown rapidly, but the use of intelligent management methods for industrial park management in China has not been carried out for a long time and lacks relevant experience. To explore the management mode and application characteristics of smart industrial parks, this article derives the operation mode of the smart industrial park management system based on the digital twin infrastructure, and elaborates and analyzes the main functions and characteristics of the smart industrial park management system, To provide reference and reference for better promoting the management system of smart industrial parks

Research on the Academic Growth and Engineering Ability Cultivation of Students in Private Universities Based on the Concept of “CDIO-F”

The CDIO concept is an advanced engineering education concept. Private universities are an important component of higher education in China, and academic growth and engineering ability are key indicators for cultivating engineering college students. However, in private universities, the academic growth and engineering ability cultivation of engineering students cannot fully meet the needs of society. Therefore, the cultivation of students’ academic growth and engineering ability has become an urgent issue to be solved. On the basis of the CDIO concept, the paper adds a feedback link and proposes a CDIO-F engineering education model. By demonstrating the compatibility of the CDIO-F concept with students’ academic growth and engineering ability cultivation, a CDIO-F based model for private university students’ academic growth and engineering ability cultivation is established. This provides new ideas for the cultivation of engineering majors in private universities

A Splitting Augmented Lagrangian Method for Low Multilinear-Rank Tensor Recovery

This paper studies a recovery task of finding a low multilinear-rank tensor that fulfills some linear constraints in the general settings, which has many applications in computer vision and graphics. This problem is named as the low multilinear-rank tensor recovery problem. The variable splitting technique and convex relaxation technique are used to transform this problem into a tractable constrained optimization problem. Considering the favorable structure of the problem, we develop a splitting augmented Lagrangian method to solve the resulting problem. The proposed algorithm is easily implemented and its convergence can be proved under some conditions. Some preliminary numerical results on randomly generated and real completion problems show that the proposed algorithm is very effective and robust for tackling the low multilinear-rank tensor completion problem

Automated 3D Segmentation of Kidneys and Tumors in MICCAI KiTS 2023 Challenge

Kidney and Kidney Tumor Segmentation Challenge (KiTS) 2023 offers a platform for researchers to compare their solutions to segmentation from 3D CT. In this work, we describe our submission to the challenge using automated segmentation of Auto3DSeg available in MONAI. Our solution achieves the average dice of 0.835 and surface dice of 0.723, which ranks first and wins the KiTS 2023 challenge.Comment: MICCAI 2023, KITS 2023 challenge 1st plac

Aorta Segmentation from 3D CT in MICCAI SEG.A. 2023 Challenge

Aorta provides the main blood supply of the body. Screening of aorta with imaging helps for early aortic disease detection and monitoring. In this work, we describe our solution to the Segmentation of the Aorta (SEG.A.231) from 3D CT challenge. We use automated segmentation method Auto3DSeg available in MONAI. Our solution achieves an average Dice score of 0.920 and 95th percentile of the Hausdorff Distance (HD95) of 6.013, which ranks first and wins the SEG.A. 2023 challenge.Comment: MICCAI 2023, SEG.A. 2023 challenge 1st plac

Study on the Effect of Cuisine Tourism Resource on Tourists’ Willingness to Visit

This article aims at examining if tourists’ evaluation of cuisine tourism resource has a positive effect on their willingness to visit (WTV) the destination (H1). In Study 1, the content analysis of travelogues of 60 Chinese major tourist cities shows that the scenic spots have a significant effect on WTV, while the effect of cuisine tourism resource on WTV is not supported. Moreover, the tourist city Chengdu with both abundant scenic spots and cuisine resources is chosen for further research of how cuisine resources influence tourist’ decisions. In term of 276 questionnaires (Study 2) and 30 interviewee (Study 3), the results show that the impact of the cuisine resource on WTV is moderated by the tourists’ evaluation on the scenic spots. Only when tourists have a high evaluation on scenic spots, the cuisine resource plays a positive impact on WTV, showing the auxiliary attraction of cuisine resource to tourists

Trifolirhizin relieves renal injury in a diabetic nephropathy model by inducing autophagy and inhibiting oxidative stress through the regulation of PI3K/AKT/mTOR pathway

Purpose: To evaluate the effects of trifolirhizin on diabetic nephropathy (DN), and the mechanism of action. Methods: Male db/db mice (8 weeks, n = 24) and age-matched control mice (n = 6) were obtained. The mice were further divided into four groups and administered increasing doses of trifolirhizin (0, 12.5, 25 and 50 mg/kg). Histological analysis of renal tissues were performed by H & E staining. Blood urea nitrogen (BUN) and creatinine were determined using enzyme-linked immunosorbent assay (ELISA). Immunoblot and TUNEL assay were performed to investigate the effect of trifolirhizin on autophagy and apoptosis, while ELISA and dihydroethidium (DHE) staining were conducted to evaluate reactive oxygen species (ROS), malondialdehyde (MDA) and superoxide dismutase (SOD) levels. The effect of trifolirhizin on PI3K/AKT/mTOR pathway was determined using Immunoblot assays. Results: Trifolirhizin alleviated renal injury in diabetic mice, and also activate autophagy and inhibited apoptosis in the renal tissues in diabetic mice (p < 0.001). In addition, trifolirhizin inhibited the oxidative stress response in the renal tissue in diabetic mice (p < 0.001). Trifolirhizin further inhibited PI3K/AKT/mTOR pathway and therefore relieved renal injury in the diabetic nephropathy model (p < 0.001). Conclusion: Trifolirhizin alleviates renal injury in diabetic mice, activates autophagy, and inhibits apoptosis in renal tissue of diabetic mice. Therefore, trifolirhizin is a promising a promising drug for the treatment of DN

Automated segmentation of intracranial hemorrhages from 3D CT

Intracranial hemorrhage segmentation challenge (INSTANCE 2022) offers a platform for researchers to compare their solutions to segmentation of hemorrhage stroke regions from 3D CTs. In this work, we describe our solution to INSTANCE 2022. We use a 2D segmentation network, SegResNet from MONAI, operating slice-wise without resampling. The final submission is an ensemble of 18 models. Our solution (team name NVAUTO) achieves the top place in terms of Dice metric (0.721), and overall rank 2. It is implemented with Auto3DSeg.Comment: INSTANCE22 challenge report, MICCAI2022. arXiv admin note: substantial text overlap with arXiv:2209.0954