A COMPARATIVE STUDY OF THE PERCEPTIONS OF LEARNING GAINS OF CHINESE MBA STUDENTS IN THE ENGLISH AND CHINESE PROGRAMS AT AN INTERNATIONAL UNIVERSITY IN THAILAND

This quantitative study aimed to investigate whether there was a significant difference in the perceptions of learning gains held by Chinese MBA students, according to their semester and program, at an international university in Thailand. This study's sample comprised 176 Chinese MBA students from the English Program and 128 Chinese MBA students from the Chinese Program. The Questionnaire on Students' Perceptions of Learning Gains (QSPLG) was used to measure the perceptions of learning gains held by the participants at the end of Semesters 1, 2, and 3 of their MBA Program at the target international university. The results of the data analysis indicated that there was no significant difference in the perception of learning gains between Chinese MBA students in the English Program enrolled in Semesters 1, 2, and 3, who were all found to hold a neutral perception of the learning gains they made in the MBA English Program. However, there was a significant difference in the perception of learning gains between Chinese MBA students in the Chinese Program enrolled in Semester 1 and those enrolled in Semester 2. The former group having a significantly more positive perception of the learning gains they made in the MBA Chinese Program than the latter. The obtained research findings provide recommendations for MBA students, professors, administrators, and future researchers

Task-Specific Data Augmentation and Inference Processing for VIPriors Instance Segmentation Challenge

Instance segmentation is applied widely in image editing, image analysis and autonomous driving, etc. However, insufficient data is a common problem in practical applications. The Visual Inductive Priors(VIPriors) Instance Segmentation Challenge has focused on this problem. VIPriors for Data-Efficient Computer Vision Challenges ask competitors to train models from scratch in a data-deficient setting, but there are some visual inductive priors that can be used. In order to address the VIPriors instance segmentation problem, we designed a Task-Specific Data Augmentation(TS-DA) strategy and Inference Processing(TS-IP) strategy. The main purpose of task-specific data augmentation strategy is to tackle the data-deficient problem. And in order to make the most of visual inductive priors, we designed a task-specific inference processing strategy. We demonstrate the applicability of proposed method on VIPriors Instance Segmentation Challenge. The segmentation model applied is Hybrid Task Cascade based detector on the Swin-Base based CBNetV2 backbone. Experimental results demonstrate that proposed method can achieve a competitive result on the test set of 2022 VIPriors Instance Segmentation Challenge, with 0.531 [email protected]:0.95.Comment: The first place solution for ECCV 2022 VIPriors Instance Segmentation Challenge. arXiv admin note: text overlap with arXiv:2209.1389

Conservative surgery in stage I placental site trophoblastic tumor: a report of 10 cases and literature review

Background and purpose: Placental site trophoblastic tumor (PSTT) is a rare type of malignant tumor. Because of its unique mode of invasion in the uterus and its insensitivity to chemotherapy, total hysterectomy is the primary recommendation. The purpose of this study was to investigate the feasibility and safety of conservative surgical treatment in patients with stage Ⅰ PSTT. Methods: The patients with stage Ⅰ PSTT admitted to Obstetrics and Gynecology Hospital of Fudan University from January 2015 to December 2021 were included, and those published on Pubmed and China National Knowledge Infrastructure (CNKI) from January 1990 to December 2021 were searched with the keywords of “placental site trophoblastic tumor” and “case”, “placental trophoblastic tumor” and “case” respectively. The clinicopathological data of the patients were collected and retrospectively analyzed. Results: A total of 10 cases admitted to Obstetrics and Gynecology Hospital of Fudan University were enrolled. The median age was 27 years. The most common symptom was irregular vaginal bleeding (70.0%). The median time of interval since antecedent pregnancy (ISAP) was 14.5 months. The median level of β-human chorionic gonadotrophin (β-hCG) was 124.51 mU/mL, and the diameter of the focus was 0.8-8.0 cm. All 10 patients admitted to Obstetrics and Gynecology Hospital of Fudan University achieved complete remission after initial treatment. The average follow-up time was 48.1 months and there was no recurrence. Three patients became pregnant naturally after treatment, including 2 cases of full-term pregnancy and delivery and 1 case of induced abortion because of unplanned pregnancy. Literature review of PSTT cases showed similar clinicopathological distribution and disease outcome. Conclusion: Conservative surgery could be an alternative choice for selected patients with stage Ⅰ PSTT, but more research is needed to provide evidence

Reticular fibre structure in the differential diagnosis of parathyroid neoplasms

Abstract Background To investigate the characteristics of reticular fibre structure (RFS) in parathyroid adenoma (PTA), atypical parathyroid tumour (APT), and parathyroid carcinoma (PTC), and to assess its value as a diagnostic indicator. Methods Clinical data and pathological specimens of patients with PTA, APT or PTC were collected. Reticular fibre staining was performed to observe the characteristics of RFS. This study evaluated the incidence of RFS destruction in parathyroid tumours, compared RFS destruction between primary PTC and recurrent and metastatic PTC, and explored the association between RFS destruction and clinicopathological features of APT and primary PTC. Results Reticular fibre staining was performed in 50 patients with PTA, 25 patients with APT, and 36 patients with PTC. In PTA cases, a delicate RFS was observed. In both the APT and PTC groups, incomplete RFS areas were observed. The incidence of RFS destruction was different among the PTA, APT, and PTC groups (P < 0.001, χ2-test), at 0% (0/50), 44% (11/25), and 86% (31/36), respectively. When differentiating PTC from APT, the sensitivity and specificity of RFS destruction were 81% and 56%, respectively. The incidence of RFS destruction was 73% (8/11) in the primary PTC group and 92% (23/25) in the recurrent and metastatic PTC groups. In both the APT group and primary PTC group, no correlation was found between RFS destruction and clinicopathological features. Conclusion RFS destruction may indicate that parathyroid tumours have unfavourable biological behaviours.Reticular fibre staining may be a valuable tool for improving the diagnostic accuracy in parathyroid tumours

Dissected aorta segmentation using convolutional neural networks

International audienceBACKGROUND AND OBJECTIVE: Aortic dissection is a severe cardiovascular pathology in which an injury of the intimal layer of the aorta allows blood flowing into the aortic wall, forcing the wall layers apart. Such situation presents a high mortality rate and requires an in-depth understanding of the 3-D morphology of the dissected aorta to plan the right treatment. An accurate automatic segmentation algorithm is therefore needed. METHOD: In this paper, we propose a deep-learning-based algorithm to segment dissected aorta on computed tomography angiography (CTA) images. The algorithm consists of two steps. Firstly, a 3-D convolutional neural network (CNN) is applied to divide the 3-D volume into two anatomical portions. Secondly, two 2-D CNNs based on pyramid scene parsing network (PSPnet) segment each specific portion separately. An edge extraction branch was added to the 2-D model to get higher segmentation accuracy on intimal flap area. RESULTS: The experiments conducted and the comparisons made show that the proposed solution performs well with an average dice index over 92%. The combination of 3-D and 2-D models improves the aorta segmentation accuracy compared to 3-D only models and the segmentation robustness compared to 2-D only models. The edge extraction branch improves the DICE index near aorta boundaries from 73.41% to 81.39%. CONCLUSIONS: The proposed algorithm has satisfying performance for capturing the aorta structure while avoiding false positives on the intimal flaps