Southeast University Research Articles

Research on a fault diagnosis method for rolling bearing based on improved multiscale range entropy and hierarchical prototype

A novel fault diagnosis method based on improved multiscale range entropy and hierarchical prototype (HP) is proposed in this paper. Firstly, considering that range entropy cannot analyze the complexity of time series from multiple perspectives, the coarse-grained process is combined with range entropy. In addition, to make the coarse-grained process more comprehensive, the selection of its starting point is improved. Secondly, to extract more feature information, the dimension reduction of eigenvectors is carried out by using singular value decomposition. Finally, HP is trained with the eigenvectors and its performance is tested. To test the performance of the proposed fault diagnosis method, testing bearing vibration signals collected by sensors from Case Western Reserve University and Southeast University are used for experimental analysis in this paper, and the experimental results show high accuracy of the proposed fault diagnosis method. To verify the suitability of the improvement proposal, the superiority in feature extraction ability and the classification capability of the classifier, the proposed fault diagnosis method is compared with another seven fault diagnosis methods. The results show that the proposed fault diagnosis method has the highest fault diagnosis accuracy.

Students' readiness for e-learning during the COVID-19 pandemic in a South-East Asian university: a Rasch analysis

PurposeUniversities have shifted from face-to-face learning environments to e-learning in response to the COVID-19 pandemic. However, the sudden change to online teaching has raised concerns among lecturers about students' readiness for e-learning. This study investigates students' readiness for e-learning during the COVID-19 pandemic and specifically assesses any significant differences between students' gender, age, ethnicity, level of education, field of study and their readiness for an e-learning environment.Design/methodology/approachThe study employed a non-experimental quantitative research design. Data were gathered from a sample of 298 undergraduate and 101 postgraduate students. WINSTEPS Rasch model measurement software was used to determine the reliability and validity of the research instrument. Descriptive, inferential statistics and differential item functioning (DIF) test were used to assess students' readiness for an e-learning mode of instruction with the latter specifically analysing students' demographic factors and their readiness for an e-learning environment.FindingsFindings identified that most students are ready for an e-learning mode of instruction. Further analysis indicated that there were differences in students' readiness for e-learning based on their demographic profiles.Research limitations/implicationsThis study provides insights on students' readiness towards e-learning, discusses implications for e-learning practices in higher education institutions during the COVID-19 pandemic and offers recommendations for future research.Originality/valueThis study provides evidences of students' readiness for e-learning in respect to their gender, age, ethnicity, level of education and field of study. This information could help lecturers to reflect on their own teaching practices, adjust their teaching approaches and subsequently, develop appropriate e-learning methods that best suit the student diversity in their classrooms.

Preface

2021 2nd International Conference on Environment Science and Advanced Energy Technologies (ESAET 2021) was held in Chongqing, China during March 06-07, 2021. ESAET 2021 is co-organized by Southeast University, China and Central China Normal University, China. This conference aims to provide a platform for researchers and engineers to share their ideas, recent developments and successful practices in environment science, power engineering, fuels, renewable energy and sustainable development.The participants of the conference were from most part of the world, with background of either academia or industry, even well-known enterprise. The success and prosperity of the conference is reflected high level of the papers received. The proceedings are a compilation of the accepted papers and represent an interesting outcome of the conference. This book covers 3 chapters: 1. Environment Science and Ecological Conservation; 2. Geotechnical Engineering and Resource Utilization; 3. Energy Technologies and Power Engineering.We would like to acknowledge the distinguished keynote speakers and all of those who supported ESAET 2021. Each individual and institutional help were very important for the success of this conference. Especially we would like to thank the organizing committee for their valuable advices in the organization and helpful peer review of the papers. We sincerely hope that ESAET 2021 will be a forum for excellent discussions that will put forward new ideas and promote collaborative researches. We are sure that the proceedings will serve as an important research source of references and the knowledge, which will lead to not only scientific and engineering progress but also other new products and processes.With our warmest regards,Conference Organizing CommitteeList of titles Committees are available in this Pdf.

Preface

The 2021 International Conference on Sensing Technology and Applications (ICSTA 2021) was held on April 23-25, 2021 as a virtual conference due to the growing concerns over the coronavirus outbreak (COVID-19), and in order to protect the well-being of our attendees, partners, and staff as our number one priority. The meeting focused on the research fields of “Sensing Technology” and “Sensing Applications”. The aim is to provide a common forum for researchers, scientists, engineers and practitioners throughout the world to present their latest research findings, ideas, developments and applications in the area of sensing technology, to explore the development path of ecological civilization construction, and to cope with new opportunities and challenges.This scientific event brings together more than 50 national and international researchers in sensing technology and applications. On top of the local participants coming from different national universities, international participants are also registered from different countries, namely USA, Vietnam, India and Egypt. During the conference, the conference model was divided into three sessions, including oral presentations, keynote speeches, and online Q&A discussion. In the first part, some scholars, whose submissions were selected as the excellent papers, were given about 5-10 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 30-45 minutes to hold their speeches.In the second part, we invited six professors as our keynote speakers. Prof. Bingguo Liu, from Harbin Institute of Technology, China, delivered a wonderful speech: On-line Vision Inspection technology for high-power laser drivers of inertial confinement fusion. And then we had Prof. Chengying Yang, from University of Taipei, Dept. of Computer Science. He shared a speech on his specialty related to Smartphone Based Tracking System Applied within the Classroom. Prof. Zhi Gao, from Wuhan University, China. His speech title was Vision for Intelligent systems and Intelligent Systems based Vision. In this talk, advanced techniques of these two aspects were introduced, including bio-inspired motion estimation, localization in challenging environments, and target detection. Prof. Yang Chai is an Associate Professor at the Hong Kong Polytechnic University. He shared a speech: Near-sensor and in-sensor computing for neuromorphic machine vision. Prof. Qingyang Wei, from University of Science and Technology, Beijing. He performed a thought-provoking speech: Lonizing Radiation Detection using CMOS Sensors. The last keynote speakers, Prof. Xinhua Tang, from Southeast University, Nanjing, China. He presented an insightful speech: Information fusion technologies inside GNSS-related navigation system. Their insightful speeches had triggered heated discussion in the third session of the conference. Every participant praised this conference for disseminating useful and insightful knowledge.The proceedings are a compilation of the accepted papers and represent an interesting outcome of the conference. Topics include but are not limited to the following areas: Sensing Theory and New Approach, Sensors and Actuators, Chemical & Bio Sensor System and more related topics. All the papers have been through rigorous review and process to meet the requirements of International publication standard.We would like to acknowledge all of those who supported ICSTA 2021. The help and contribution of each individual and institution was instrumental in the success of the conference. In particular, we would like to thank the organizing committee for its valuable inputs in shaping the conference program and reviewing the submitted papers.Committee of ICSTA 2021Committee member, General Conference Chair, Program committee, International technical committee are available in tha pdf

Residual wide-kernel deep convolutional auto-encoder for intelligent rotating machinery fault diagnosis with limited samples

This paper deals with the development of a novel deep learning framework to achieve highly accurate rotating machinery fault diagnosis using residual wide-kernel deep convolutional auto-encoder. Unlike most existing methods, in which the input data is processed by fast Fourier transform (FFT) and wavelet transform, this paper aims to learn important features from limited raw vibration signals. Firstly, the wide-kernel convolutional layer is introduced in the convolutional auto-encoder that can ensure the model can learn effective features from the data without any signal processing. Secondly, the residual learning block is introduced in convolutional auto-encoder that can ensure the model with sufficient depth without gradient vanishing and overfitting problems. Thirdly, convolutional auto-encoder can learn constructive features without massive data. To evaluate the performance of the proposed model, Case Western Reserve University (CWRU) bearing dataset and Southeast University (SEU) gearbox dataset are used to test. The experiment results and comparisons verify the denoising and feature extraction ability of the proposed model in the case of very few training samples.

Phonon dispersion relations of crystalline solids based on LAMMPS package* *Project supported by the National Key R&D Program of China (Grant No. 2017YFB0406000) and the Southeast University “Zhongying Young Scholars” Project.

The phonon dispersion relations of crystalline solids play an important role in determining the mechanical and thermal properties of materials. The phonon dispersion relation, as well as the vibrational density of states, is also often used as an indicator of variation of lattice thermal conductivity with the external stress, defects, etc. In this study, a simple and fast tool is proposed to acquire the phonon dispersion relation of crystalline solids based on the LAMMPS package. The theoretical details for the calculation of the phonon dispersion relation are derived mathematically and the computational flow chart is present. The tool is first used to calculate the phonon dispersion relation of graphene with two atoms in the unit cell. Then, the phonon dispersions corresponding to several potentials or force fields, which are commonly used in the LAMMPS package to modeling the graphene, are obtained to compare with that from the DFT calculation. They are further extended to evaluate the accuracy of the used potentials before the molecular dynamics simulation. The tool is also used to calculate the phonon dispersion relation of superlattice structures that contains more than one hundred of atoms in the unit cell, which predicts the phonon band gaps along the cross-plane direction. Since the phonon dispersion relation plays an important role in the physical properties of condensed matter, the proposed tool for the calculation of the phonon dispersion relation is of great significance for predicting and explaining the mechanical and thermal properties of crystalline solids.

Effects of remote ischemic preconditioning on contrast-induced acute kidney injury after percutaneous coronary intervention in patients with chronic total occlusion

Objective: To investigate the effect of remote ischemic preconditioning (RIPC) on contrast-induced acute kidney injury (CI-AKI) in patients with chronic total occlusion (CTO) after percutaneous coronary intervention (PCI). Methods: A total of 282 patients undergoing PCI at Zhongda Hospital Affiliated to Southeast University between June 2017 and January 2019 were prospectively enrolled. The patients were randomly divided into RIPC group (n=142) and control group (n=140). CI-AKI was defined as an increase in level of cystatin C (CysC)≥10% above baseline at 24 h after contrast administration. Baseline characteristics and the incidence of CI-AKI were compared between the two groups. The multivariate logistic regression analysis was further used to analyze the independent risk factors of CI-AKI. Results: There were no significant differences in age, gender, smoking, hypertension, diabetes, stroke and old myocardial infarction, coronary artery bypass graft surgery, previous PCI history and laboratory test indicators, target vessel and pathological characteristics of CTO lesions, contrast agent dosage, J-CTO (Multicenter CTO Registry in Japan) score, SYNTAX (Synergy between Percutaneous Coronary Intervention with Taxus and Cardiac Surgery) score, PCI success rate and stent number between the two groups (P>0.05). The incidence of CI-AKI was significantly lower (18.3% vs 29.3%, P=0.036) in RIPC group than that of control group. Multivariate logistic analysis found that creatinine [odds ratio (OR)=1.018,95%CI: 1.006-1.030, P=0.003], CysC (OR=5.200, 95%CI:2.714-9.963, P<0.001),contrast agent dosage (OR=1.013,95%CI: 1.007-1.019, P<0.001) and J-CTO score (OR=1.834, 95%CI: 1.145-2.939, P=0.012) were independent risk factors of CI-AKI. However, RIPC was an independent protective factor of CI-AKI (OR=0.391, 95%CI: 0.199-0.765, P=0.006). Conclusion: RIPC before contrast agent administration prevents CI-AKI in CTO patients undergoing PCI.

Risk factors of left atrial appendage thrombus in patients with non-valvular atrial fibrillation.

ObjectiveTo investigate the risk factors of left atrial appendage thrombus (LAAT) in patients with non-valvular atrial fibrillation (AF).MethodsWe collected the clinical data of patients with non-valvular AF who underwent transesophageal echocardiography (TEE) at the Zhongda Hospital of Southeast University between January 2016 and June 2019. The patients were divided into two groups, LAAT and non-LAAT. We performed comparative analysis, receiver operating characteristic (ROC) curve analysis and logistic regression analysis to estimate the risk factors of LAAT.ResultsA total of 442 patients with non-valvular AF were enrolled in the study. LAAT was detected by TEE in 20 cases (4.7%). Compared with patients without LAAT, patients with LAAT had higher CHA2DS2-VASc scores (3 vs 2, p = 0.001), higher values of D-dimer (180.0 vs 90.0 μg/L, p = 0.003), larger LA anteroposterior diameters (50.5 vs 41.0 mm, p < 0.001) and higher ratios of non-paroxysmal AF (85.0% vs 23.6%, p < 0.001). ROC curve analysis revealed that the cutoff value of LA anteroposterior diameter was 49.5 mm. After adjusting for other confounders, logistic regression analysis showed that enlarged LA (anteroposterior diameter ≥49.5 mm) and non-paroxysmal AF were independently associated with higher risks of LAAT (OR = 7.28, 95% CI: 2.36–22.47; OR = 8.89, 95% CI: 2.33–33.99, respectively). The proportions of LAAT in patients with larger LA (anteroposterior diameter ≥49.5 mm), non-paroxysmal AF and both larger LA and non-paroxysmal AF were 30% (12/40), 15.2% (17/112) and 39.1% (9/23), respectively.ConclusionEnlarged LA (anteroposterior diameter ≥49.5 mm) and non-paroxysmal AF were independent risk factors of LAAT in non-valvular AF patients.

중국 문학인의 눈으로 본 3·1운동 ―연극 〈산하루(山河淚)〉를 중심으로

“Tears of Mountains and Rivers” is a drama with the theme of the March 1st Movement, which was created by Hou Yao, a student of Southeast University at that time. It is also the earliest literary and artistic work with the theme of the March 1st Movement. The purpose of the play is to “describe the spirit of the Korean independence movement, and make an outcry for the oppressed nations in the world, and give a sharp warning to the imperialist careerists.” After its publication, the script of “Tears of Mountains and Rivers” was welcomed by all walks of life in China, reprinted many times and staged publicly throughout the country, which played an important role in spreading the spirit of the Korean independence movement and call for the Chinese people to save the nation.

A novel scoring system integrating molecular abnormalities with IPSS-R can improve the risk stratification in patients with MDS

BackgroundThe treatment strategies for Myelodysplastic Syndromes (MDS) are usually based on the risk stratification system. However, few risk signatures which integrate the revised international prognostic scoring system (IPSS-R) with gene mutations can be easily applied in the real world.MethodsThe training cohort of 63 MDS patients was conducted at Zhongda Hospital of Southeast University from January 2013 to April 2020. The validation cohort of 141 MDS patients was obtained from GSE129828. The mutation scoring system was based on the number of mutations and a unique favorable prognostic factor, which is SF3B1 mutation. Univariate Cox, multivariate Cox, and LASSO regression analyses were used to determine the significant factors that influenced the overall survival. The receiver operating characteristic curve (ROC) was used to evaluate the efficiency of the prognostic model.ResultsA novel risk scoring system we named “mutation combined with revised international prognostic scoring system (MIPSS-R)” was developed based on the results derived from multivariate analysis which assigned points to the IPSS-R and the mutation scores according to their relative statistical weight. Based on the quintile of the new scores, patients were divided into five risk levels. The Kaplan-Meier curves showed the superiority of MIPSS-R in separating patients from different groups, comparing with IPSS-R both in the training cohort (p = 1.71e-08 vs. p = 1.363e-04) and validation cohort (p = 1.788e-04 vs. p = 2.757e-03). The area under the ROC of MIPSS-R was 0.79 in the training cohort and 0.62 in the validation cohort. The retrospective analysis of our house patients showed that the risk levels of 57.41% of patients would adjust according to MIPSS-R. After changing risk levels, 38.71% of patients would benefit from treatment strategies that MIPSS-R recommends.ConclusionA mutation scoring system was conducted based on the number of mutations and a unique favorable prognostic factor. MIPSS-R, the novel integral risk stratification system was developed by integrating IPSS-R and the mutation scores, which is more effective on prognosis and treatment guidance for MDS patients.

Preface

Due to recent pandemic, the 2021 4th International Conference on Civil, Architecture and Environment Research (ICCAER 2021) which was planned to be held in Zhuhai, China, was held virtually online during January 15-17, 2021. The decision to hold the virtual conference was made in compliance with many restrictions and regulations that were imposed by countries around the globe. Such restrictions were made to minimize the risk of people contracting or spreading the COVID-19 through physical contact. There were 90 individuals who attended this on-line conference, represented many countries including Malaysia, Singapore and China.ICCAER 2021 was hosted by AEIC Academic Exchange Information Center, supported by Guizhou Minzu University. ICCAER 2021 is to bring together innovative academics and industrial experts in the field of civil, architecture and environment research to a common forum. The primary goal of the conference is to promote research and developmental activities in civil, architecture, environment research and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in civil, architecture and environment research and related areas.During the conference, the conference model was divided into three sessions, including oral presentations, keynote speeches, and online Q&A discussion. In the first part, some scholars, whose submissions were selected as the excellent papers, were given about 5-10 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 30-45 minutes to hold their speeches. In the second part, we invited four professors as our keynote speakers. Assoc. Prof. Yang Wu, from Guangzhou University, China, performed a speech: Experimental investigation on mechanical behavior and particle crushing of calcareous sand retrieved from South China Sea. And then we had Prof. Dongfang Yang from Guizhou Minzu University, China. His research area: Quantitative preliminary study on the growth process of phytoplankton in Jiaozhou Bay. The others keynote speakers were as list: Prof. Xiuxin Wang, from Southeast university, China; Prof. Hongfu Zhou, from Shandong University of Science and Technology, China. Their insightful speeches had triggered heated discussion in the third session of the conference. Every participant praised this conference for disseminating useful and insightful knowledge.The proceedings are a compilation of the accepted papers and represent an interesting outcome of the conference. Topics include but are not limited to the following areas: Disaster Prevention and Mitigation, Renewable Sources of Energy-energy Savings, Garbage classification, Satellite Applications in the Environment, Waste Minimization and more related topics of environment. All the papers have been through rigorous review and process to meet the requirements of International publication standard.We would like to acknowledge all of those who supported ICCAER 2021. The help and contribution of each individual and institution was instrumental in the success of the conference. In particular, we would like to thank the organizing committee for its valuable inputs in shaping the conference program and reviewing the submitted papers.We sincerely hope that the ICCAER 2021 turned out to be a forum for excellent discussions that enabled new ideas to come about, promoting collaborative research. We are sure that the proceedings will serve as an important research source of references and knowledge, which will lead to not only scientific and engineering findings but also new products and technologies.Committee of ICCAER 2021list of Committee member, Organizing Committee Chair, Proceedings Chair, Technical Committee, Organizing Committee are available in the pdf.

Preface

2021 2nd International Conference on Geology, Resources Exploration and Development (ICGRED 2021) was planned to be held on January 15-17, 2021 in Zhuhai, China. Due to the impact of COVID-19, many communities from all over the world were under strict health measures and strict travel restrictions, and participants of 2021 2nd International Conference on Geology, Resources Exploration and Development (ICGRED 2021) also meet with the difficulty of travel restrictions. For communities, if our conference was not held in a virtual form, it would add huge work on traffic system, Exit-Entry system, medical system, etc., which is quite a serious issue, to actively respond to the call of the government, to strengthen the protection work, to effectively reduce people gathering and prevent COVID-19, considering the situation that most of the authors would like to publish their articles and make academic communications as scheduled, ICGRED 2021 was held on-line instead of postponing the conference. It was a challenge, not only to the organizers, but also to the participants who were delivering their speeches using videoconference tools, under different time zones.ICGRED 2021 is to bring together innovative academics and industrial experts in the field of geology, resources exploration and development to a common conference. The primary goal is to promote research and developmental activities in geology, resources exploration and development, and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. An ideal platform for seeking global partners had been established. We sincerely invited you to attend the conference to share views and experiences ingeology, resources exploration and development and related areas.The conference brings together about 60 leading researchers, engineers and scientists in the domain of interest from different countries. The conference model was divided into two parts, including keynote presentations and online discussion. In the first part, each keynote speakers were allocated 30 minutes to present their talks via Zoom. After the keynote talks, all participants joined in a WeChat communication group to discuss more about the talks and presentations.We were greatly honor to have invited four distinguished experts as our keynote speakers. Prof. Hongfu Zhou, from Shandong University of Science and Technology, China, was the first one to perform a thought-provoking speech. His research interests include Engineering Geology and Geological Hazards. Prof. Dongfang Yang, from Guizhou Minzu University, China as our second keynote speakers. His research interests are Biogeochemistry, Environmental science, Ecology. Prof. Xiuxin Wang, from Southeast University, China. His research interests include Structural Disaster Design, Structure Inspection, Bridge Design, Seismic Isolation, Sustainable Building Development. The finale keynote speakers, A. Prof. Yang Wu, from Guangzhou University, China. His research interests include Marine Geotechnical Engineering, Constitutive Model of Geotechnical Materials, Multi-field Coupling Simulation, Pile Foundation Engineering. Their insightful speeches had triggered heated discussion in the second session of the conference. The WeChat discussion lasted for about 30 minutes. Every participant praised this conference for disseminating useful and insightful knowledge.The proceedings of ICGRED 2021 span over 2 topical tracks, that include: Geology, Resources and Energy and other related fields. All the papers have been through rigorous review and process to meet the requirements of International publication standard.We would like to express our gratitude to everyone involved. Without this dedicated cooperation, it would be impossible to hold the conference at such a high level and prepare the ICGRED 2021 proceedings.Committee of ICGRED 2021List of Committee members are available in this pdf.

Bone metabolic biomarker-based diagnosis of type 2 diabetes osteoporosis by support vector machine.

BackgroundDiabetes has significant effects on bone metabolism. Both type 1 and type 2 diabetes can cause osteoporotic fracture. However, it remains challenging to diagnose osteoporosis in type 2 diabetes by bone mineral density which lacks regular changes. Seen another way, osteoporosis can be ascribed to the imbalance of bone metabolism, which is closely related to diabetes as well.MethodsHere, to assist clinicians in diagnosing osteoporosis in type 2 diabetes, an efficient and simple SVM (support vector machine) model was established based on different combinations of biochemical indexes, which were collected from patients who did the test of bone turn-over markers (BTMs) from January 2016 to March 2018 in the department of endocrine, Zhongda Hospital affiliated to Southeast University. The classification was done based on a software package of machine learning in Python. The classification performance was measured by SKLearn program incorporated in the Python software package and compared with the clinical diagnostic results.ResultsThe predicting accuracy rate of final model was above 88%, with feature combination of sex, age, BMI (body mass index), TP1NP (total procollagen I N-terminal propeptide) and OSTEOC (osteocalcin).ConclusionsExperimental results show that the model showed an anticipant result for early detection and daily monitoring on type 2 diabetic osteoporosis.

Assessing ‘lifelong learning’ through the capstone design project of BSc in EEE Programme

Engineering education accreditation agencies have prepared a list of skills called programme outcomes (POs) or graduate attributes that a graduate must attain before his graduation from any engineering discipline. Of these POs, one of the important outcomes is lifelong learning. This skill is one of the most perplexing skills that graduates require in their professional careers. While most of these outcomes are measurable through the accustomed techniques, assessing lifelong learning is more challenging for faculty members and educators. Selecting a course to teach and assess lifelong learning is also a difficult job. The capstone design project (CDP) course may be an excellent means of transferring and strengthening the skills and proficiencies associated with lifelong learning. This paper explores how ‘lifelong learning’ as one of POs can be delivered, supervised, assessed and evaluated through the three CDP courses (EEE492, EEE494 and EEE496) integrated into the Bachelor of Science in Electrical and Electronic Engineering programme at Southeast University. Furthermore, this paper discusses about developing an appropriate assessment plan and rubrics to ascertain the achievement of these three courses in fulfilling this component of the accreditation. Evaluation data of the lifelong learning, assessed by the board of examiners during the final defence, is presented. Based on this, their achievements of the PO related to lifelong learning are discussed. Keywords: Capstone design project, lifelong learning, OBE, PO assessment.

Prognostic Significance of Modified Advanced Lung Cancer Inflammation Index in Patients with Renal Cell Carcinoma Undergoing Laparoscopic Nephrectomy: A Multi-Institutional, Propensity Score Matching Cohort Study

Background: We conducted a multi-institutional clinical study to assess the prognostic value of the advanced lung cancer inflammatory index (ALI) and modified ALI (mALI) in patients with renal cell carcinoma (RCC). Methods: We collected 440 patients who underwent laparoscopic nephrectomy at three centers from 2014 to 2019. ALI was defined as body mass index (BMI) × serum albumin (ALB)/neutrophil-to-lymphocyte ratio (NLR) and mALI as L3 muscle index × ALB/NLR. Kaplan-Meier curves, receiver operating characteristic (ROC) curves and Cox survival analysis were used to assess the effect of ALI and mALI on overall survival (OS). In addition, we performed 1:1 propensity score matching (PSM) for the high mALI and low mALI groups to further explore the impact of mALI on survival in RCC patients. Findings: The optimal cut-off values for ALI and mALI were 40.6 and 83.0, respectively. Based on the cut-off values, we divided the patients into high ALI and low ALI groups, and high mALI and low mALI groups. ALI and mALI were significantly associated with the AJCC stage, Fuhrman grade, T stage, and M stage. Low ALI (p=0.002) or low mALI (p<0.001) was associated with poorer prognosis. ROC curves showed that mALI was a better predictor of OS than ALI. Multivariate Cox regression analysis showed that low mALI (aHR=2.22; 95% CI 1.19-4.13, p=0.012) was an independent risk factor for OS in RCC patients who underwent nephrectomy, while ALI (aHR=1.40; 95% CI 0.73-2.66, p=0.309) was not significantly associated. Furthermore, after PSM analysis, we found that mALI remained an independent risk factor for OS (aHR=2.88; 95% CI 1.33-6.26, p=0.007) in patients with RCC. Interpretation: For RCC patients undergoing laparoscopic nephrectomy, low ALI and low mALI were associated with poor prognosis, and preoperative mALI can be used as a potential independent prognostic indicator for RCC patients. Funding Information: This study was supported by the National Natural Science Foundation of China (82070773), Natural Science Foundation of Jiangsu Province (BK20201271), the Scientific Research Foundation of Graduate School of Southeast University (YBPY2173), Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX21_0156), Jiangsu Provincial Key Research and Development Program (BE2019751), Innovative Team of Jiangsu Provincial (2017XKJQW07), and The National Key Research and Development Program of China (SQ2017YFSF090096). Declaration of Interests: We declare that there are no conflicts of interest between authors. Ethics Approval Statement: The methodology of this study followed the criteria in the Declaration of Helsinki (revised in 2013) and received ethical approval from the Ethics Committee of Zhongda Hospital Southeast University (ZDKYSB077) and Ethics Committee of Shanghai Tenth People's Hospital of Tongji University (SHSY-IEC-BG/02.04/04.0-81602469).

翻转课堂在英语教学中的适用方法分析——以东南大学为例

翻转课堂在英语教学中的适用方法分析——以东南大学为例

Preface of The 2nd International Conference on Graphene and Novel Nanomaterials (GNN 2020)

Welcome to the proceeding of The 2nd International Conference on Graphene and Novel Nanomaterials (GNN 2020). GNN2020 was originally scheduled to be held in Xi’an (China) during July 7-10, 2020, however, due to the problematic COVID-19 and travel restrictions in many countries, it has to be managed by a combined mode of online video presentation and webinar for questions and answers in real-time from November 1-4, 2020.GNN conference was launched in 2019 in Bangkok (Thailand), it aims to share scholarships regarding issues of graphene, nanomaterials science; to discuss the practical challenges and recommending better solutions for material research; and to offer an excellent opportunity to meet academics, researchers, practitioners, professionals, and experts from around the world. This year, the conference has attracted more than 50 participants from 13 countries.The plenary session of GNN2020 consisted of Keynote Speeches, Oral Presentations, and Poster presentation. The two keynote speeches (45 minutes each, including Q&A) were delivered by Prof. Roger M. Leblanc from Department of Chemistry, University of Miami, USA; and Prof. Nongyue He from School of Biological Science and Medical Engineering, Southeast University, China. Twenty-nine oral presentations (15-25 each, including Q&A) were delivered by Prof. Muhammad Arshad, Assoc. Prof. Mohammad Hatami, Prof. Zulfiqar Khan, Prof. Paola Vivo, Dr. Per A. Lothman, Prof. Gunther Andersson, Prof. Harith Bin Ahmad Ahmad, etc.; and one poster presentation was delivered by Mr. Gang Yan.List of Conference General Chair and Technical Program Committee are available in this pdf.

Signal-to-Signal Translation for Fault Diagnosis of Bearings and Gears With Few Fault Samples

Deep learning (DL)-based models can achieve satisfactory performance in bearing and gear fault diagnosis relying on sufficient fault vibration signals. However, it is difficult to acquire adequate machine fault data in industrial applications. Generally, data collected in the healthy condition are massive, but rare fault samples are available. To address the diagnostic problem with few fault data, this article proposes a method, namely, multilabel cycle translating adversarial network (MCTAN). The architecture can translate healthy vibration data into auxiliary fault data. Signal-to-signal translation enables auxiliary data to be acquired based on few fault data and adequate healthy data. Then, the auxiliary data are utilized to improve the performance of DL-based fault classification approaches. Experimental results and comparative analysis indicate the superiority and robustness of the proposed method for bearing and gear fault diagnosis on widely used XJTU-SY, Case Western Reserve University (CWRU), Jiangnan University (JNU), and Southeast University (SEU) datasets. Even if the ratio of healthy data to fault data ranges from 50:1 to 300:1, the proposed MCTAN succeeds in raising the diagnosis accuracy by up to 25.87% and outperforms other comparative methods.

Life Cycle Assessment of Artificial Wetland Systems for Rural Wastewater Treatment

Decentralized wastewater treatment technology, especially natural ecological treatment technology has widely been used in rural regions. In this paper, a comprehensive life cycle assessment (LCA) of a typical wastewater ecological treatment technology - artificial wetland technology was conducted. SimaPro software was applied to simulate the wastewater treatment facility, and the CML2 baseline2000 impact evaluation method was selected to analyze the environmental loads and benefits during the life cycle. The environmental impact of the facility adopting grey-black separation mode is compared with that of the unified collection and treatment model to provide scientific basis and suggestions for the selection of wastewater collection and treatment model. The results indicated that the main environmental impact of the Southeast University artificial wetland system comes from the construction and operation of the artificial wetland and aeration tank. Marine water ecotoxicity is the main impact factor, followed by freshwater water ecotoxicity.

Risk factors for calciphylaxis in Chinese hemodialysis patients: a matched case-control study

Introduction Calciphylaxis is a rare but potentially fatal disease commonly occurred in dialysis patients. Despite some previous studies on risk factors for calciphylaxis, there is still a lack of data from Chinese population. Methods The retrospective matched case–control study about calciphylaxis was performed in Zhongda Hospital affiliated to Southeast University. The case group involved 20 hemodialysis patients who were newly diagnosed with calciphylaxis from October 2017 to December 2018. The 40 noncalciphylaxis patients undergoing dialysis with the same age and duration of dialysis were randomly selected as controls. Results Most of calciphylaxis patients were male and elderly, while overweight people were more susceptible to the disease. Although incidence of secondary hyperparathyroidism was higher in calciphylaxis patients, the differences in duration of elevated serum intact parathyroid hormone (iPTH) and its highest value did not reach statistical significance compared with controls. No significant difference in warfarin therapy was discernible between two groups. The univariate regression analysis indicated that male, score of use of activated vitamin D and its analogues, corrected serum calcium level, serum phosphate, Ca × P product, iPTH, albumin, and alkaline phosphatase (ALP) level were significantly associated with calciphylaxis. Elevated levels of serum phosphate (OR 4.584, p = 0.027) and ALP (OR 1.179, p = 0.036), decreased level of serum albumin (OR 1.330, p = 0.013) were independent risk factors after multivariate analysis. Conclusion This is the first report of risk factors associated with calciphylaxis in China. Increased levels of serum phosphate and ALP, decreased level of serum albumin were vital high-risk factors for calciphylaxis in Chinese hemodialysis population.