173 results on '"Xie, Min"'
Search Results
2. Pathogen Distribution, Drug Resistance Risk Factors, and Construction of Risk Prediction Model for Drug-Resistant Bacterial Infection in Hospitalized Patients at the Respiratory Department During the COVID-19 Pandemic
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Wei,Xiao-Lin, Zeng,Qiang-Lin, Xie,Min, and Bao,Yong
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Pharmacology ,Infectious Diseases ,Infection and Drug Resistance ,Pharmacology (medical) - Abstract
Xiao-Lin Wei,1 Qiang-Lin Zeng,2 Min Xie,3 Yong Bao1 1Department of Respirology, Taikang Sichuan Hospital, Chengdu, Peopleâs Republic of China; 2Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Chengdu University School of Clinical Medicine, Chengdu University, Chengdu, Peopleâs Republic of China; 3Department of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, Peopleâs Republic of ChinaCorrespondence: Yong Bao, Department of Respirology, Taikang Sichuan Hospital, No. 881, Xianghe 1st Street, Huayang Street, Tianfu New District, Sichuan, 610213, Peopleâs Republic of China, Email byong65@163.comObjective: To investigate the distribution and drug resistance of pathogens among hospitalized patients in the respiratory unit during the COVID-19 pandemic, analyze the risk factors of drug resistance, construct a risk prediction model.Methods: This study isolated 791 strains from 489 patients admitted to the Affiliated Hospital of Chengdu University, who were retrospectively enrolled between December 2019 and June 2021. The patients were divided into training and validation sets based on a random number table method (8:2). The baseline information, clinical characteristics, and culture results were collected using an electronic database and WHONET 5.6 software and compared between the two groups. A risk prediction model for drug-resistant bacteria was constructed using multi-factor logistic regression.Results: K. pneumoniae (24.78%), P. aeruginosa (17.19%), A. baumannii (10.37%), and E. coli (10.37%) were the most abundant bacterial isolates. 174 isolates of drug-resistant bacteria were collected, ie, Carbapenem-resistant organism-strains, ESBL-producing strains, methicillin-resistant S. aureus, multi-drug resistance constituting 38.51%, 50.57%, 6.32%, 4.60%, respectively. The nosocomial infection prediction model of drug-resistant bacteria was developed based on the combined use of antimicrobials, pharmacological immunosuppression, PCT> 0.5 ng/mL, CKD stage 4â 5, indwelling catheter, and age > 60 years. The AUC under the ROC curve of the training and validation sets were 0.768 (95% CI: 0.624â 0.817) and 0.753 (95% CI: 0.657â 0.785), respectively. Our model revealed an acceptable prediction demonstrated by a non-significant Hosmer-Lemeshow test (training set, p=0.54; validation set, p=0.88).Conclusion: K. pneumoniae, P. aeruginosa, A. baumannii, and E. coli were the most abundant bacterial isolates. Antimicrobial resistance among the common isolates was high for most routinely used antimicrobials and carbapenems. COVID-19 did not increase the drug resistance pressure of the main strains. The risk prediction model of drug-resistant bacterial infection is expected to improve the prevention and control of antibacterial-resistant bacterial infection in hospital settings.Keywords: COVID-19, respiratory and critical care medicine, drug-resistant bacteria, risk factors, line chart
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- 2023
3. An annotated human blastocyst dataset to benchmark deep learning architectures for in vitro fertilization
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Florian Kromp, Raphael Wagner, Basak Balaban, Véronique Cottin, Irene Cuevas-Saiz, Clara Schachner, Peter Fancsovits, Mohamed Fawzy, Lukas Fischer, Necati Findikli, Borut Kovačič, Dejan Ljiljak, Iris Martínez-Rodero, Lodovico Parmegiani, Omar Shebl, Xie Min, and Thomas Ebner
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Statistics and Probability ,Library and Information Sciences ,Statistics, Probability and Uncertainty ,Computer Science Applications ,Education ,Information Systems - Abstract
Medical Assisted Reproduction proved its efficacy to treat the vast majority forms of infertility. One of the key procedures in this treatment is the selection and transfer of the embryo with the highest developmental potential. To assess this potential, clinical embryologists routinely work with static images (morphological assessment) or short video sequences (time-lapse annotation). Recently, Artificial Intelligence models were utilized to support the embryo selection procedure. Even though they have proven their great potential in different in vitro fertilization settings, there is still considerable room for improvement. To support the advancement of algorithms in this research field, we built a dataset consisting of static blastocyst images and additional annotations. As such, Gardner criteria annotations, depicting a morphological blastocyst rating scheme, and collected clinical parameters are provided. The presented dataset is intended to be used to train deep learning models on static morphological images to predict Gardner’s criteria and clinical outcomes such as live birth. A benchmark of human expert’s performance in annotating Gardner criteria is provided.
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- 2023
4. Early rhythm control vs. rate control in atrial fibrillation: A systematic review and meta-analysis
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Han, Shaojie, Jia, Ruikun, Cen, Zhifu, Guo, Ran, Zhao, Shenyu, Bai, Yixuan, Xie, Min, and Cui, Kaijun
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Cardiology and Cardiovascular Medicine - Abstract
ObjectiveIt has long been debated whether rhythm control vs. rate control strategies have differing effects on mortality and morbidity for atrial fibrillation (AF). Recently, several randomized controlled studies (RCTs) and observational trials described that an early rhythm management method was linked to a lower likelihood of negative clinical outcomes in individuals with AF. We wanted to see if an early rhythm management method may help patients with AF.MethodsWe performed a systematic search to retrieve studies assessing the outcomes of early rhythm control vs. rate control in AF by using PubMed, Web of Science, Cochrane Library, and Embase published between 01/01/2000 and 15/04/2022.ResultsFinally, two RCTs, one retrospective analysis of RCTs, and four observational studies were identified. Compared with rate control, early rhythm control has been linked to lower all-cause mortality. [risk ratio (RR), 0.76; 95% CI 0.69–0.83; P < 0.00001; I2 = 77%]. The early rhythm control group was also associated with a lower risk of cardiovascular mortality (RR, 0.68; 95% CI 0.63–0.74; P < 0.00001; I2 = 33), stroke (RR, 0.77; 95% CI 0.67–0.87; P < 0.001; I2 = 64), and heart failure hospitalization (RR, 0.74; 95% CI 0.59–0.93; P = 0.0009; I2 = 93%). We found no significant difference in nights spent in hospital per year, acute coronary syndrome, major bleeding, and cardiac arrest/ventricular arrhythmia between the groups.ConclusionIn this meta-analysis, early rhythm therapy was linked to a lower risk of all-cause mortality, cardiovascular mortality, stroke, and heart failure hospitalization compared with the rate control group.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/, identifier CRD42022333592.
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- 2023
5. sj-docx-1-asm-10.1177_10731911231176274 – Supplemental material for The Chinese Parenting Stress Scale for Preschoolers’ Parents: Development and Initial Validation
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Zhao, Jinghui, Xie, Min, He, Jingyi, and Wang, Meng-Cheng
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FOS: Psychology ,160807 Sociological Methodology and Research Methods ,170199 Psychology not elsewhere classified ,FOS: Sociology - Abstract
Supplemental material, sj-docx-1-asm-10.1177_10731911231176274 for The Chinese Parenting Stress Scale for Preschoolers’ Parents: Development and Initial Validation by Jinghui Zhao, Min Xie, Jingyi He and Meng-Cheng Wang in Assessment
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- 2023
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6. Additional file 1 of The mitochondrial genome of Heterosentis pseudobagri (Wang & Zhang, 1987) Pichelin & Cribb, 1999 reveals novel aspects of tRNA genes evolution in Acanthocephala
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Gao, Jin-Wei, Yuan, Xi-Ping, Jakovlić, Ivan, Wu, Hao, Xiang, Chuan-Yu, Xie, Min, Song, Rui, Xie, Zhong-Gui, Wu, Yuan-An, and Ou, Dong-Sheng
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Additional file 1: Additional figures and tables. Figure S1. Maximum Likelihood phylogenetic analysis of the Acanthocephala mitogenomic dataset based on nucleotide sequences of all 12 mitogenomic protein-coding genes. Numbers at nodes indicate SH-aLRT support, H. pseudobagri is highlighted using colour shading, and family, order and class-level identities are shown to the right in that order (left to right). Figure S2. Bayesian Inference phylogenetic analysis of the Acanthocephala mitogenomic dataset based on nucleotide sequences of all 12 mitogenomic protein-coding genes.Numbers at nodes indicate posterior probability support, H. pseudobagri is highlighted using colour shading, and family, order and class-level identities are shown to the right in that order (left to right). Figure S3. Maximum Likelihood phylogenetic analysis of the Acanthocephala mitogenomic dataset based on 1st and 2nd codon positions of nucleotide sequences of all 12 mitogenomic protein-coding genes.Numbers at nodes indicate SH-aLRT support, H. pseudobagri is highlighted using colour shading, and family, order and class-level identities are shown to the right in that order (left to right). Figure S4. The architecture of the mitogenome of H. pseudobagri. Figure S5. Gene orders of H. pseudobagri and the remaining available Acanthocephala mitogenomes.Species names are given with corresponding GenBank accession numbers. Family, order, and class-level taxonomic identities are shown to the right. NCR indicates an intergenic region >100 bp. Figure S6. The mitogenome of H. pseudobagri assembled using the transcriptome data. Figure S7. Acanthocephalan trnQ alignment. Figure S8. Acanthocephalan trnG (tRNA-Gly) alignment. Figure S9. Acanthocephalan trnY alignment. Figure S10. Acanthocephalan trnL1 alignment. Figure S11. Acanthocephalan trnD alignment. Figure S12. Acanthocephalan trnW alignment. Figure S13. The alternative folding of Heterosentis pseudobagri trnW inferred by ARWEN (trnS). Figure S14. Acanthocephalan trnV alignment. Figure S15. Acanthocephalan trnK alignment. Figure S16. Acanthocephalan trnE alignment. Figure S17. Acanthocephalan trnT alignment. FigureS18. Acanthocephalan trnS2 alignment. Figure S19. Acanthocephalan trnH alignment. Figure S20. Acanthocephalan trnL2 alignment. Figure S21. Acanthocephalan trnP alignment. Figure S22. Acanthocephalan trnI alignment. Figure S23. Acanthocephalan trnM alignment. Figure S24. Acanthocephalan trnF alignment. Figure S25. Acanthocephalan trnC alignment. Figure S26. Acanthocephalan trnA alignment. Figure S27. Acanthocephalan trnR alignment. Figure S28. Acanthocephalan trnN alignment. Figure S29. Acanthocephalan trnS1 alignment. Table S1. Primers used for the amplification and sequencing of the mitogenome of H. pseudobagri.
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- 2023
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7. Antley-Bixler syndrome arising from compound heterozygotes in the P450 oxidoreductase gene: a case report
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Li, Haibo, Zhao, Aman, Xie, Min, Chen, Linqi, Wu, Haiying, Shen, Yiping, and Wang, Hongying
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Pediatrics, Perinatology and Child Health ,Case Report - Abstract
Antley-Bixler syndrome (ABS) arising from P450 oxidoreductase deficiency (PORD) is a rare, distinct craniosynostosis syndrome, accompanied by ambiguous genitalia and impaired steroidogenesis. It is reported that this disorder is caused by mutations in the P450 oxidoreductase (POR; OMIM #124015) gene via autosomal recessive inheritance. In this study, we performed a molecular analysis to verify the genetic etiology of ABS in an infant. Initially, medical exome sequencing was applied using the parents’ peripheral blood genome DNA. Next, bidirectional Sanger sequencing and quantitative real-time PCR (qRT-PCR) were conducted to confirm the sequencing results. The infant was diagnosed as ABS at birth, with typical midface hypoplasia, craniosynostosis, femoral bowing, radio-ulnar synostosis, and genital anomalies. She died two months later due to severe pneumonia and congenital heart disease. The medical exome sequencing and Sanger sequencing revealed the missense mutation c.1370G>A (p.R457H) in exon 12 of POR was inherited from the father. In addition, the qRT-PCR analysis verified an exon 5 microdeletion in the POR gene of the infant and her mother. While p.R457H is a well-known pathogenic mutation, the POR exon 5 deletion is absent from the public databases. However, it is classified as pathogenic according to the American College of Medical Genetics and Genomics (ACMG) guidelines based on the evidence of PVS1, PM2, and PM3. In conclusion, this infant with ABS carried compound heterozygotic mutations in the POR gene; one was a paternal missense mutation, and the other was a maternal novel microdeletion. The mutations were inherited from the paternal grandfather and maternal grandfather, respectively. This detailed case report enriches our knowledge of the POR mutation spectrum and ABS pathogenesis.
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- 2021
8. Intent-Driven Management for Multi-Vertical End-to-End Network Slicing Services
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Xie Min, Pedro Henrique Gomes, Jörg Niemöller, and Jens Patrick Waldemar
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network slicing ,intent ,automation - Abstract
Moving forward from 5G to 6G, one critical open challenge is customer-driven and autonomous networks management. To enable autonomy in a large-scale, it is important to separate the customer-centric requirements from the detailed network-and resource-centric operations. Intent has been proposed as a means to abstract the expectations of services and hide the implementation details from customers. In a multi-vendor, multi-tenant, and multi-domain 6G network with end-to-end (E2E) network slicing, intents can convey requirements across different management layers to facilitate network autonomy. In this paper, we propose intent-driven management (IDM) architecture that complies with the TM Forum autonomous network framework. Different from previously defined intents, the intent is classified into three types, business intent, service intent, and resource intent, which is useful to address the high complexity caused by assuring E2E network slicing services for multiple verticals. A complex E2E use case is presented to demonstrate how the IDM architecture and principles are practically applied to enable the intent-driven autonomous management for multi-vertical and crossoperator service provision and assurance.
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- 2022
9. Image denoising technology of power equipment based on deep residual network
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Chen Yong, Wang Yun-Hui, Li Song, Xie Min, Yang Yong-Kun, and Zhang Ke
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- 2022
10. Effects of collagen peptides from Micropterus salmoides skin on oxidative damage induced by cyclophosphamide in mice
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Han, Mengyao, Zhang, Zhongshan, Li, Xinyue, Tong, Haibin, Xu, Zhiguo, Ding, Zikang, Yang, Anquan, Xie, Min, and Wang, Xiaomei
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Nutrition and Dietetics ,Endocrinology, Diabetes and Metabolism ,Food Science - Abstract
To investigate the protective effect of collagen peptide fromMicropterus salmoidesskin (CPMs) on oxidative damage induced by cyclophosphamide in mice. Balb/c female mice were divided into blank, model (cyclophosphamide, CTX), positive control (levamisole hydrochloride), and collagen peptide low-, medium-, and high-dose groups. The results showed that CPMs increase the body mass and immune-related organ indexes, such as liver and kidneys of immunosuppressed mice. The activities of ALT, AST, UA, BUN, and MDA in the liver and kidney tissues decreased significantly, while those of SOD and GSH-Px increased significantly. CPMs can relieve the pathological damage to immune organs. CPMs significantly increase the activities of IL-2, IgG, and TNF-α in serum and SOD activity, while the MDA content was decreased compared to the model group. CPMs can exert a protective effect on cyclophosphamide-induced oxidative damage and have application prospects in the field of health food.
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- 2022
11. Differential Fault Attack on GIFT
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Xie Min, Tian Feng, and LI Jiaqi
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Computer science ,Applied Mathematics ,Round function ,Key (cryptography) ,Brute-force search ,Table (database) ,ComputerApplications_COMPUTERSINOTHERSYSTEMS ,Electrical and Electronic Engineering ,Differential (infinitesimal) ,Fault (power engineering) ,Nibble ,Algorithm ,Block cipher - Abstract
GIFT, a lightweight block cipher proposed at CHES2017, has been widely cryptanalyzed this years. This paper studies the differential diffusion characteristics of round function of GIFT at first, and proposes a random nibble-based differential fault attack. The key recovery scheme is developed on the statistical properties we found for the differential distribution table of the S-box. A lot of experiments had been done and experimental results show that one round key can be retrieved with an average of 20.24 and 44.96 fault injections for GIFT-64 and GIFT-128 respectively. Further analysis shows that a certain number of fault injections recover most key bits. So we demonstrate an improved fault attack combined with the method of exhaustive search, which shows that the master key can be recovered by performing 216 and 217 computations and injecting 31 and 32 faults on an average for GIFT-64 and GIFT-128 respectively.
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- 2021
12. Childhood trauma and suicide risk in schizophrenia inpatients: the sequential mediating roles of COVID-19 related psychological impact, sleep quality, and emotional distress
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Xie Min, Zou Xuemin, Tang Yiguo, Zhu Ling, Luo liquan, Zhao Zhengyang, Lv Qiuyue, Tao Shiwan, Dai Minhan, Wu Yulu, Huang Yunqi, Yunjia Liu, Xiao Liling, Wu Jianhua, and Qiang Wang
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Purpose The stressful global situation due to the COVID-19 pandemic has had a tremendous impact on mental health in hospitalized patients with schizophrenia. The mediating roles of psychological impacts related to COVID-19 sleep quality and emotional distress were investigated in the association between childhood trauma and suicide risk in inpatients with schizophrenia. Methods A total of 270 participants, including 125 in-patients with schizophrenia and 145 healthy controls (HCs) were enrolled. Childhood trauma, psychological impact related to COVID-19, global sleep quality, and psychological distress were measured using the Childhood Trauma Questionnaires (CTQ), Impact of Event Scale-Revised (IES-R), Pittsburgh Sleep Quality Index (PSQI), and Depression, Anxiety and Stress Scale (DASS-21), respectively. Results The total score and subtype scores of CTQ and the mean scores of the IES-R, PSQI, and DASS-21 in patients with schizophrenia were higher than those in HCs (all p < 0.001). Hierarchical linear regression analyses showed that a history of childhood trauma or schizophrenia was a good predictor of psychological impact, global sleep quality, and emotional distress (all p < 0.01). Moreover, the chain mediation model showed that the effect of childhood trauma on suicide risk in hospitalized patients with schizophrenia was totally sequentially mediated by thepsychological impact of COVID-19, sleep quality, and emotional distress. Conclusions It is important for clinicians to recognize the increased suicide risk associated with COVID-19-related psychological distress in patients with schizophrenia with a history of childhood trauma.
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- 2022
13. Electrochemical and microstructure properties of Er-doped CaZrO3
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Jianquan Gao, Xiwen Song, Yang Li, Pengfei Xu, Jinxiao Bao, Fei Ruan, Fen Zhou, Ruming Wu, and Xie Min
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Materials science ,General Chemical Engineering ,Doping ,General Engineering ,Analytical chemistry ,General Physics and Astronomy ,Ionic bonding ,02 engineering and technology ,Activation energy ,Electrolyte ,010402 general chemistry ,021001 nanoscience & nanotechnology ,Microstructure ,Electrochemistry ,01 natural sciences ,0104 chemical sciences ,Dielectric spectroscopy ,General Materials Science ,0210 nano-technology ,Perovskite (structure) - Abstract
To understand electrochemical properties of the rare earth-doped CaZrO3 system in more detail, a solid-state electrolyte Er-doped CaZrO3 was successfully prepared using solid-state reaction method at the temperatures of 1673 K and 1823 K for 10 h. The microstructures and electrochemical properties of these materials were systemically investigated. The results from structural analysis showed that the electrolyte has a pure perovskite phase structure. According to the H/D isotope effect, protons were determined as the dominant charge carriers in hydrogen atmosphere between 773 and 1273 K. The electrochemical impedance spectroscopy test showed that ionic electrical conductivities are approximately 1.86 × 10−8 ~ 2.93 × 10−4 S/cm at 773 ~ 1273 K, and ionic conductance activation energy (Ea) is in the range of 0.823–1.416 eV, Furthermore, ionic electrical conductivity decreases with increasing Er2O3 doping amount, which is completely different from that of In2O3 or other dopant-doped CaZrO3. The abnormal phenomenon is associated with the defect association introduced by incorporation of Er2O3 into CaZrO3 lattice on the basis of the DFT calculation.
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- 2021
14. Effect of Nb5+ and Cu2+ codoping on thermal properties of Gd2Zr2O7 ceramic
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Tao Jiang, Lili Guan, Xie Min, Xiwen Song, and Xuanli Wang
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Work (thermodynamics) ,Materials science ,Doping ,Analytical chemistry ,Pyrochlore ,02 engineering and technology ,General Chemistry ,engineering.material ,010402 general chemistry ,021001 nanoscience & nanotechnology ,01 natural sciences ,Thermal expansion ,0104 chemical sciences ,Thermal conductivity ,Geochemistry and Petrology ,visual_art ,Phase (matter) ,Thermal ,engineering ,visual_art.visual_art_medium ,Ceramic ,0210 nano-technology - Abstract
In this work, Nb5+ and Cu2+ were selected to partially substitute Zr4+ in Gd2Zr2O7 for studying the phase structure, microscopic morphology and thermal properties. Gd2(Zr1-3x/2NbxCux/2)2O7 (x = 0, 0.05, 0.1, 0.15, 0.2, 0.25) ceramic materials were synthesized by high-temperature solid-state reaction method. The results show that the Gd2(Zr1-3x/2NbxCux/2)2O7 ceramics present cubic pyrochlore structure with clear grain boundaries and dense cell structure. And the thermal expansion coefficient of Gd2(Zr1-3x/2NbxCux/2)2O7 ceramics gradually decreases because of the incorporation of Nb5+ and Cu2+ into Zr-site in Gd2Zr2O7. Meanwhile, its thermal conductivity decreases firstly and then increases with the doping of Nb5+ and Cu2+, which reaches the lowest value for the composition of Gd2(Zr0.85Nb0.1Cu0.05)2O7.
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- 2021
15. Visualized Detection of Aldehyde Dehydrogenase 2 Gene Polymorphism By Serial Invasive Reaction Coupled with Gold Nanoparticle Probe Assembling
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Shuyun Pang, Yan-Zi Wu, Bingjie Zou, Qinxin Song, Guohua Zhou, Xie-Min Qi, Yan-Jie Zhang, Hui-Jie Yue, and Nan Sheng
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Chemistry ,010401 analytical chemistry ,Flap structure-specific endonuclease 1 ,Single-nucleotide polymorphism ,02 engineering and technology ,Amplicon ,021001 nanoscience & nanotechnology ,01 natural sciences ,Molecular biology ,0104 chemical sciences ,Analytical Chemistry ,genomic DNA ,Genotype ,Pyrosequencing ,0210 nano-technology ,Genotyping ,Gene - Abstract
Conventional assays for identifying polymorphism of aldehyde dehydrogenase 2 (ALDH2) gene (rs671) are based on electrophoresis, fluorescence-labeled probes or sequencing, which are laborious and expensive. Herein, we proposed a visualized detection of ALDH2 genotype by PCR-based serial invasive reaction coupled with gold nanoparticle probe (GNP) assembling, in which target DNAs were firstly amplified by PCR, and then the alleles on the amplicons were identified by serial invasive reaction, and finally the genotyping results could be read out with naked eyes by observing the color changes caused by GNP assembling. If the allele-specific invasive probe matched the target sequence, the hairpin probe could be cleaved into two parts by Flap endonuclease 1 (FEN1). As a result, the GNPs could not be aggregated by the hairpin probe, keeping the solution red. Otherwise, the intact hairpin probe caused the aggregation of GNPs, leading to the color change from red to purple or clear. Therefore, the genotyping result could be read out with naked eyes by observing the color changes of the reaction. As low as 80 pg of genomic DNA could be accurately genotyped, and the genotyping results of 207 clinical samples were consistent with that of pyrosequencing, indicating that the proposed method has great potential in genotyping of personalized medicine-related single nucleotide polymorphism.
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- 2021
16. Additional file 1 of Mitochondrial phylogenomics of Acanthocephala: nucleotide alignments produce long-branch attraction artefacts
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Gao, Jin-Wei, Yuan, Xi-Ping, Wu, Hao, Xiang, Chuan-Yu, Xie, Min, Song, Rui, Chen, Zhong-Yuan, Wu, Yuan-An, and Ou, Dong-Sheng
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Additional file 1: Table S1. Primers used for the amplification and sequencing of the mitogenome of M. dakusuiensis. Table S2. The architecture of the mitogenome of M. dakusuiensis. Text S1. Evolutionary models and partitions. Figure S1. The NUC—ML phylogeny of Palaeacanthocephala. Figure S2. The AAs—ML phylogeny of Palaeacanthocephala. Text S2. BI and CAT-GTR analyses run parameters.
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- 2022
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17. sj-docx-1-taj-10.1177_20406223221084831 ��� Supplemental material for Novel imaging phenotypes of na��ve asthma patients with distinctive clinical characteristics and T2 inflammation traits
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Yang, Zhenyu, Qin, Lu, Qiao, Jinhan, Cheng, Chongsheng, Liu, Yiwen, Zhang, Shengding, Fang, Xiaoyu, Li, Zhen, Renz, Harald, Liu, Xiansheng, Xia, Liming, Hu, Qiongjie, and Xie, Min
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FOS: Psychology ,110203 Respiratory Diseases ,FOS: Clinical medicine ,Cardiology ,170199 Psychology not elsewhere classified ,111702 Aged Health Care ,FOS: Health sciences ,110319 Psychiatry (incl. Psychotherapy) ,110306 Endocrinology ,110308 Geriatrics and Gerontology ,111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified ,110904 Neurology and Neuromuscular Diseases - Abstract
Supplemental material, sj-docx-1-taj-10.1177_20406223221084831 for Novel imaging phenotypes of na��ve asthma patients with distinctive clinical characteristics and T2 inflammation traits by Zhenyu Yang, Lu Qin, Jinhan Qiao, Chongsheng Cheng, Yiwen Liu, Shengding Zhang, Xiaoyu Fang, Zhen Li, Harald Renz, Xiansheng Liu, Liming Xia, Qiongjie Hu and Min Xie in Therapeutic Advances in Chronic Disease
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- 2022
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18. A class of Šidák-type tests based on maximal precedence and exceedance statistic
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Chakrabortya, Niladri, Cui, Di, and Xie, Min
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Methodology (stat.ME) ,FOS: Computer and information sciences - Abstract
A class of nonparametric two-sample tests has been proposed in this article. As a generalization of the original Šidáks' test, the proposed test statistic is developed as the sum of the maximal precedence and maximal exceedance statistics. Unlike the Šidák-type precedence-exceedance test and the maximal precedence test, the proposed test is suitable for a two-sided alternative while being free from any parametric assumption. Exact distribution of the test statistic is obtained under the null as well as under the Lehmann alternative. Power value comparison has been carried out that shows the competency of the proposed test as a useful alternative to a number of existing tests based on precedence-exceedance statistics. Real-life example is provided to illustrate the application of the proposed test.
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- 2022
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19. Insights into Regulating Influent Nitrogen Load to Restore Autotrophic Denitrification Performance of a Two-Stage Reactor
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Liu Ke, Wu Sha, Chen Jing, Chen Chen, Wang Hong, Yang Enzhe, Zhang Chengfeng, Xie Min, and H. Chen
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- 2022
20. Semiparametric transformation Model with measurement error in Covariates: An Instrumental variable approach
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K., Sudheesh K., Mathew, Deemat C., Mathew, Litty, and Xie, Min
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Methodology (stat.ME) ,FOS: Computer and information sciences ,Statistics - Methodology - Abstract
Linear transformation model provides a general framework for analyzing censored survival data with covariates. The proportional hazards and proportional odds models are special cases of the linear transformation model. In biomedical studies, covariates with measurement error may occur in survival data. In this work, we propose a method to obtain estimators of the regression coefficients in the linear transformation model when the covariates are subject to measurement error. In the proposed method, we assume that instrumental variables are available. We develop counting process based estimating equations for finding the estimators of regression coefficients. We prove the large sample properties of the estimators using the martingale representation of the regression estimators. The finite sample performance of the estimators are evaluated through an extensive Monte Carlo simulation study. Finally, we illustrate the proposed method using an AIDS clinical trial (ACTG 175) data., Comment: We proposed an instrumental variable approach to analyze the linear transformation model when covariates are measured with error
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- 2022
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21. Additional file 2 of Genetic mutation profiles and immune microenvironment analysis of pulmonary enteric adenocarcinoma
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Xie, Min, Chen, Dong, Li, Yong, Liu, Xiansheng, Kuang, Dong, and Li, Xiaochen
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Additional file 2: Supplemental Table 1. Genetic mutational profile of PEAC using a 520-gene OncoScreen Plus panel.
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- 2022
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22. Additional file 1 of gcaPDA: a haplotype-resolved diploid assembler
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Xie, Min, Yang, Linfeng, Jiang, Chenglin, Wu, Shenshen, Luo, Cheng, Yang, Xin, He, Lijuan, Chen, Shixuan, Deng, Tianquan, Ye, Mingzhi, Yan, Jianbing, and Yang, Ning
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ComputingMethodologies_DOCUMENTANDTEXTPROCESSING ,ComputingMilieux_COMPUTERSANDEDUCATION ,Data_FILES ,ComputerApplications_COMPUTERSINOTHERSYSTEMS - Abstract
Additional file 1. Supplementary figures and tables.
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- 2022
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23. Additional file 2 of Genetic mutation profiles and immune microenvironment analysis of pulmonary enteric adenocarcinoma
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Xie, Min, Chen, Dong, Li, Yong, Liu, Xiansheng, Kuang, Dong, and Li, Xiaochen
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Additional file 2: Supplemental Table 1. Genetic mutational profile of PEAC using a 520-gene OncoScreen Plus panel.
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- 2022
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24. Additional file 1 of BMI1 promotes osteosarcoma proliferation and metastasis by repressing the transcription of SIK1
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Wang, Qiang, Wu, Yinghui, Lin, Meng, Wang, Gaigai, Liu, Jinyan, Xie, Min, Zheng, Bo, Shen, Cong, and Shen, Jun
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Data_FILES - Abstract
Additional file 1: Table S1. Antibodies information.
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- 2022
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25. sj-docx-1-taj-10.1177_20406223221084831 ��� Supplemental material for Novel imaging phenotypes of na��ve asthma patients with distinctive clinical characteristics and T2 inflammation traits
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Yang, Zhenyu, Qin, Lu, Qiao, Jinhan, Cheng, Chongsheng, Liu, Yiwen, Zhang, Shengding, Fang, Xiaoyu, Li, Zhen, Renz, Harald, Liu, Xiansheng, Xia, Liming, Hu, Qiongjie, and Xie, Min
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FOS: Psychology ,110203 Respiratory Diseases ,FOS: Clinical medicine ,Cardiology ,170199 Psychology not elsewhere classified ,111702 Aged Health Care ,FOS: Health sciences ,110319 Psychiatry (incl. Psychotherapy) ,110306 Endocrinology ,110308 Geriatrics and Gerontology ,111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified ,110904 Neurology and Neuromuscular Diseases - Abstract
Supplemental material, sj-docx-1-taj-10.1177_20406223221084831 for Novel imaging phenotypes of na��ve asthma patients with distinctive clinical characteristics and T2 inflammation traits by Zhenyu Yang, Lu Qin, Jinhan Qiao, Chongsheng Cheng, Yiwen Liu, Shengding Zhang, Xiaoyu Fang, Zhen Li, Harald Renz, Xiansheng Liu, Liming Xia, Qiongjie Hu and Min Xie in Therapeutic Advances in Chronic Disease
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- 2022
- Full Text
- View/download PDF
26. Additional file 2 of BMI1 promotes osteosarcoma proliferation and metastasis by repressing the transcription of SIK1
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Wang, Qiang, Wu, Yinghui, Lin, Meng, Wang, Gaigai, Liu, Jinyan, Xie, Min, Zheng, Bo, Shen, Cong, and Shen, Jun
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macromolecular substances - Abstract
Additional file 2: Fig. S1. The effect of BMI1 on OS cell proliferation, migration and invasion in vitro. A After OS cells were treated with si-NC or si-BMI1 1#, 2# for 48 h, the proliferative viability of OS cells was detected using CCK-8 assay. Sample size = 6. B Colony formation assays were used to detect the colony forming ability of OS cells after treated with si-NC or si-BMI1 1#, 2# for 48 h. Sample size = 3. C Quantification of B. D After treated with si-NC or si-BMI1 1#, 2# for 48 h, transwell assays were performed to determine the migration of OS cells. Sample size = 3. E Quantification of D. F Invasion assays were performed to detect the invasive ability of OS cells after treated with si-NC or si-BMI1 1#, 2# for 48 h. Sample size = 3. G Quantification of F. *p
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- 2022
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27. Repro Samples Method for Finite- and Large-Sample Inferences
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Xie, Min-ge and Wang, Peng
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Methodology (stat.ME) ,FOS: Computer and information sciences ,62A99, 62F99, 62G99 ,FOS: Mathematics ,Mathematics - Statistics Theory ,Statistics Theory (math.ST) ,Statistics - Methodology - Abstract
This article presents a novel, general, and effective simulation-inspired approach, called {\it repro samples method}, to conduct statistical inference. The approach studies the performance of artificial samples, referred to as {\it repro samples}, obtained by mimicking the true observed sample to achieve uncertainty quantification and construct confidence sets for parameters of interest with guaranteed coverage rates. Both exact and asymptotic inferences are developed. An attractive feature of the general framework developed is that it does not rely on the large sample central limit theorem and is likelihood-free. As such, it is thus effective for complicated inference problems which we can not solve using the large sample central limit theorem. The proposed method is applicable to a wide range of problems, including many open questions where solutions were previously unavailable, for example, those involving discrete or non-numerical parameters. To reduce the large computational cost of such inference problems, we develop a unique matching scheme to obtain a data-driven candidate set. Moreover, we show the advantages of the proposed framework over the classical Neyman-Pearson framework. We demonstrate the effectiveness of the proposed approach on various models throughout the paper and provide a case study that addresses an open inference question on how to quantify the uncertainty for the unknown number of components in a normal mixture model. To evaluate the empirical performance of our repro samples method, we conduct simulations and study real data examples with comparisons to existing approaches. Although the development pertains to the settings where the large sample central limit theorem does not apply, it also has direct extensions to the cases where the central limit theorem does hold.
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- 2022
- Full Text
- View/download PDF
28. Characterization and comparative analysis of the complete mitochondrial genome of Azygia hwangtsiyui Tsin, 1933 (Digenea), the first for a member of the family Azygiidae
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Dong Liu, Xiao-Fei Cheng, Xie Min, Yuan Xiping, Yuan-An Wu, Gao Jinwei, and Rui Song
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0106 biological sciences ,0301 basic medicine ,Mitochondrial DNA ,Ceramiales ,Azygioidea ,Florideophyceae ,Plagiorchiida ,Azygiidae ,Biology ,Azygia hwangtsiyui ,010603 evolutionary biology ,01 natural sciences ,Homology (biology) ,03 medical and health sciences ,lcsh:Zoology ,Animalia ,lcsh:QL1-991 ,Plantae ,Clade ,Gene ,Ecology, Evolution, Behavior and Systematics ,Rhodomelaceae ,Molecular epidemiology ,Phylogenetic tree ,phylogenetic analysis ,GC skew ,gene arrangement ,gene arrangement phylogenetic analysis Trematoda ,030104 developmental biology ,Evolutionary biology ,Rhodophyta ,Transfer RNA ,Animal Science and Zoology ,Platyhelminthes ,Trematoda ,Azygia ,Digenea - Abstract
Azygia hwangtsiyui (Trematoda, Azygiidae), a neglected parasite of predatory fishes, is little-known in terms of its molecular epidemiology, population ecology and phylogenetic study. In the present study, the complete mitochondrial genome of A. hwangtsiyui was sequenced and characterized: it is a 13,973 bp circular DNA molecule and encodes 36 genes (12 protein-coding genes, 22 transfer RNA genes, two ribosomal RNA genes) as well as two non-coding regions. The A+T content of the A. hwangtsiyui mitogenome is 59.6% and displays a remarkable bias in nucleotide composition with a negative AT skew (–0.437) and a positive GC skew (0.408). Phylogenetic analysis based on concatenated amino acid sequences of twelve protein-coding genes reveals that A. hwangtsiyui is placed in a separate clade, suggesting that it has no close relationship with any other trematode family. This is the first characterization of the A. hwangtsiyui mitogenome, and the first reported mitogenome of the family Azygiidae. These novel datasets of the A. hwangtsiyui mt genome represent a meaningful resource for the development of mitochondrial markers for the identification, diagnostics, taxonomy, homology and phylogenetic relationships of trematodes.
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- 2020
29. THERMODYNAMIC ANALYSIS AND SYSTEM DESIGN OF THE SUPERCRITICAL CO2 BRAYTON CYCLE FOR WASTE HEAT RECOVERY OF GAS TURBINE
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Zhang Chunwei, He Yichuan, Xie Min, Dong Aihua, Zhang Qiuhong, Shi Yuwen, Yonghui Xie, and Yang Qiguo
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Fluid Flow and Transfer Processes ,Gas turbines ,Waste management ,Mechanical Engineering ,Environmental science ,Systems design ,Condensed Matter Physics ,Brayton cycle ,Supercritical fluid ,Waste heat recovery unit - Published
- 2020
30. The effect of YF3 on the mechanical properties and low-temperature degradation of 3Y-TZP ceramics
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Zhen Tian, Jianquan Gao, Shengli An, Zhang Yonghe, Fei Ruan, Jinxiao Bao, Qiang Jing, Xiwen Song, and Xie Min
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010302 applied physics ,Dental ceramics ,Materials science ,Process Chemistry and Technology ,Doping ,02 engineering and technology ,021001 nanoscience & nanotechnology ,01 natural sciences ,Surfaces, Coatings and Films ,Electronic, Optical and Magnetic Materials ,Grain growth ,Tetragonal crystal system ,Aging resistance ,visual_art ,0103 physical sciences ,Materials Chemistry ,Ceramics and Composites ,visual_art.visual_art_medium ,Degradation (geology) ,Ceramic ,Composite material ,0210 nano-technology ,Monoclinic crystal system - Abstract
The low-temperature degradation and mechanical properties of 3Y-TZP-xYF3 ceramics synthesized by a conventional solid-state reaction were investigated. The addition of YF3 has a significant effect on the aging and mechanical properties of 3Y-TZP ceramics. The results show that the mechanical properties and aging resistance of 3Y-TZP-xYF3 ceramics with slow grain growth are greatly improved when the content of YF3 is maintained in a reasonable biphasic region (RBR) due to the dominant role of T-M (tetragonal to monoclinic). When the content of YF3 exceeds 0.15 mol%, the mechanical properties and aging properties of ceramics in a saturated biphasic region (SBR) decrease due to the influence of T-C (tetragonal to cubic). More importantly, 3Y-TZP-0.15YF3 ceramics have good aging resistance and mechanical properties, and YF3 doping makes the application of 3Y-TZP in dental ceramics more meaningful.
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- 2019
31. Analysis of the Teaching Strategy of English Continuation Task in Senior High School from the Perspective of Metacognitive Theory
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Xie Min and Li Qin
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General Materials Science - Abstract
With the emergence of new question type in the English reform of college Entrance examination, the academia has set off a research craze of "continuation task".This paper uses questionnaires and interviews with teachers to investigate and study the implementation, effect and existing problems of continuation task in senior high school English reading.Based on the teaching status and existing problems, this paper puts forward three strategies to improve the teaching effect of continuation task from the perspective of metacognitive theory, in order to help front-line English teachers in senior high schools effectively implement continuation task teaching, improve students' ability and level of continuation task, and thus improve students' English learning effect.
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- 2022
32. A Novel Superpixels Image Segmentation Algorithm for PCBA Components
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Yan He, Xie Min, and Zhao Qifeng
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business.industry ,Computer science ,Feature extraction ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Pattern recognition ,Image segmentation ,Visualization ,Image (mathematics) ,Feature (computer vision) ,Histogram ,Segmentation ,Artificial intelligence ,business ,Cluster analysis - Abstract
The visual location accuracy of assembly robot is affected directly by the accuracy of image segmentation. Most traditional algorithms couldn’t meet the industrial manufacture rhythm of Printed Circuit Board Assembly (PCBA) components. As a result, this paper proposed a novel superpixels image segmentation algorithm for PCBA components. Firstly, the salient feature was extracted by Histogram-based Contrast (HC) algorithm. Then, the salience map was extracted according to the Simple Non-Iterative Clustering (SNIC) superpixels segmentation algorithm. A new method was proposed to obtain information entropy by creating a new superpixels image. Ultimately, the segmented image was obtained according to the information entropy. According to the experimental results, the F-measure, the MAE and the time were 0.7979, 0.040567 and 179.12851s respectively, showing that the proposed algorithm was better than the other six algorithms.
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- 2021
33. Synthesis of uniformly excited sparse rectangular planar array for sidelobe suppression using multi‐objective optimisation algorithm
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Chengyan Zhang, Xiongjun Fu, Xu Chen, Shuilian Peng, and Xie Min
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planar antenna arrays ,optimisation ,Computer science ,Antenna radiation patterns ,antenna radiation patterns ,Planar array ,General Engineering ,Energy Engineering and Power Technology ,multiobjective optimisation algorithm ,Topology ,speed-constrained multiobjective particle swarm optimisation ,sparse-rectangular planar array ,antenna arrays ,lcsh:TA1-2040 ,Excited state ,Pareto optimisation ,uniformly excited sparse rectangular planar array ,synthesis problem ,Optimisation algorithm ,linear antenna arrays ,existing synthesis algorithms ,lcsh:Engineering (General). Civil engineering (General) ,particle swarm optimisation ,Software ,lowest maximum sidelobe level - Abstract
Here, the multi-objective optimisation algorithm speed-constrained multi-objective particle swarm optimisation is applied to the synthesis of uniformly excited sparse-rectangular planar array with low sidelobe level. Numerical simulations have been conducted to test the performance of multi-objective optimisation algorithm when used in this synthesis problem, and resulting radiation patterns are compared with those from other existing synthesis algorithms in literatures. Comparative results illustrate that the proposed algorithm has obtained the lowest maximum sidelobe level (MSLL) in φ = 0 plane (φ is the elevation angle) of radiation pattern combined with the lowest maximum MSLL in φ = π/2 plane. In addition, convergence performance of the multi-objective optimisation algorithm when used in this synthesis problem has also been investigated here.
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- 2019
34. High-fracture toughness and aging-resistance of 3Y-TZP ceramics with a low Al2O3 content for dental applications
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Xie Min, Bao Jinxiao, Xiwen Song, Ruan Fei, Zhang Yonghe, Qiang Jing, Jianquan Gao, Shengli An, Haodong Lv, and Zhen Tian
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010302 applied physics ,Dental ceramics ,Toughness ,Materials science ,Process Chemistry and Technology ,High fracture ,02 engineering and technology ,021001 nanoscience & nanotechnology ,01 natural sciences ,Hydrothermal circulation ,Surfaces, Coatings and Films ,Electronic, Optical and Magnetic Materials ,Aging resistance ,visual_art ,0103 physical sciences ,Materials Chemistry ,Ceramics and Composites ,visual_art.visual_art_medium ,Cubic zirconia ,Ceramic ,Composite material ,0210 nano-technology ,Ball mill - Abstract
The aim of this investigation was to discuss the mechanical properties and aging-resistance of 3Y-TZP (3 mol% yttria-tetragonal zirconia with 0–0.25 wt% alumina added 3Y-TZP) by comparing the effect of high-energy ball milling zirconia powders (HP) and commercially available zirconia powders (CP). The results showed that a hardness of 12.93 GPa, combined with an excellent high-fracture toughness of 9.17 MPa m1/2, could be attained for HP-doped (0–0.25 wt% (Al2O3)) ceramics, as well as an increase in hydrothermal stability with the increase in Al2O3 content. The HP + 0.15 wt% (Al2O3) ceramics exhibited better antiaging performance and mechanical properties. These 3Y-TZP ceramics, with high-fracture toughness and better aging-resistance, which were prepared by a high-energy ball milling method, could meet the different demands of practical dental ceramics.
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- 2019
35. Preparation and Electrochemical Properties of CaZr1-xScxO3-α
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Shengli An, Ruan Fei, Ruming Wu, Fen Zhou, Xiwen Song, Hao Dong Lv, Jinxiao Bao, Zhen Tian, Qiang Jing, and Xie Min
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Materials science ,Renewable Energy, Sustainability and the Environment ,Materials Chemistry ,Electrochemistry ,Condensed Matter Physics ,Surfaces, Coatings and Films ,Electronic, Optical and Magnetic Materials ,Nuclear chemistry - Published
- 2019
36. Effects of snowfall depth on soil physical–chemical properties and soil microbial biomass in moss–dominated crusts in the Gurbantunggut Desert, Northern China
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Lichao Liu, Rong Hui, Ruiming Zhao, Lizhe An, and Xie Min
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010504 meteorology & atmospheric sciences ,biology ,Moisture ,Phosphorus ,chemistry.chemical_element ,Biomass ,04 agricultural and veterinary sciences ,Soil carbon ,biology.organism_classification ,Snow ,01 natural sciences ,Moss ,Nitrogen ,chemistry ,Environmental chemistry ,Soil water ,040103 agronomy & agriculture ,0401 agriculture, forestry, and fisheries ,Environmental science ,0105 earth and related environmental sciences ,Earth-Surface Processes - Abstract
Winter snowfall is an important source of moisture that may influence the growth and development of biological soil crusts (BSCs) in temperate desert regions of China. Yet there is still limited empirical knowledge about the effect of snowfall on BSCs. In this study, moss crusts from the Gurbantunggut Desert were exposed to five snow depths to evaluate how snowfall affected the physical–chemical properties (pH; electric conductivity, EC; soil organic carbon, SOC; total nitrogen, TN; available nitrogen, AN; available phosphorus, AP; available potassium, AK) and microbial biomass (soil microbial biomass carbon, SMBC; soil microbial biomass nitrogen, SMBN; soil microbial biomass phosphorus, SMBP) of soil in the BSCs, before (in October 2016: representing three consecutive years of snow manipulation) and after winter (in April 2017). Results showed that the soil water content increased significantly as snowfall depth increased (p
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- 2018
37. Quantitative Detection of Gene Methylated Level of Stool Samples Based on Invader Assay Coupled with Real-time Polymerase Chain Reaction and Its Application in Non-invasive Screening of Colorectal Cancer
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Guohua Zhou, Lin-Lin Liu, Xie-Min Qi, Qin-Xin Song, and Bingjie Zou
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0301 basic medicine ,biology ,Chemistry ,Colorectal cancer ,Cancer ,Methylation ,medicine.disease ,Bone morphogenetic protein 3 ,Molecular biology ,Analytical Chemistry ,law.invention ,03 medical and health sciences ,chemistry.chemical_compound ,030104 developmental biology ,0302 clinical medicine ,Real-time polymerase chain reaction ,law ,030220 oncology & carcinogenesis ,medicine ,biology.protein ,Taq polymerase ,DNA ,Polymerase chain reaction - Abstract
Methylation of bone morphogenetic protein 3 (BMP3) in stool DNA is an effective biomarker for non-invasive screening of colorectal cancer. However, a highly sensitive and specific detection method is required. Here, a quantification method for BMP3 methylation was developed by combining real-time polymerase chain reaction (PCR) with invader assay using Beta-actin (ACTB) as a reference. Amplification efficiencies of BMP3 and ACTB were close to 100% after optimizing the concentration of detection probes, FEN1 enzyme and Taq polymerase, and the relative quantification of BMP3 methylation was achieved accurately by ΔCT algorithms. Ten copies and 0.01% of BMP3 methylation level could be successfully detected and non-specific signal was generated from non-methylated template, indicating that the method was highly sensitive and specific. The method was successfully applied to detect BMP3 methylation in fecal DNA from 16 colorectal cancer patients, 7 adenoma patients and 19 healthy volunteers. The results indicated that BMP3 methylation occurred in 5 of 16 cancer patients and 2 of 7 adenoma patients, but was not observed in 19 of healthy volunteers. Therefore, this method could be used to quantify methylation of gene in stool samples, providing an effective technique for non-invasive screening of colorectal cancer.
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- 2018
38. Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)1
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Klionsky, Daniel J, Abdel-Aziz, Amal Kamal, Abdelfatah, Sara, Abdellatif, Mahmoud, Abdoli, Asghar, Abel, Steffen, Abeliovich, Hagai, Abildgaard, Marie H, Abudu, Yakubu Princely, Acevedo-Arozena, Abraham, Adamopoulos, Iannis E, Adeli, Khosrow, Adolph, Timon E, Adornetto, Annagrazia, Aflaki, Elma, Agam, Galila, Agarwal, Anupam, Aggarwal, Bharat B, Agnello, Maria, Agostinis, Patrizia, Agrewala, Javed N, Agrotis, Alexander, Aguilar, Patricia V, Ahmad, S Tariq, Ahmed, Zubair M, Ahumada-Castro, Ulises, Aits, Sonja, Aizawa, Shu, Akkoc, Yunus, Akoumianaki, Tonia, Akpinar, Hafize Aysin, Al-Abd, Ahmed M, Al-Akra, Lina, Al-Gharaibeh, Abeer, Alaoui-Jamali, Moulay A, Alberti, Simon, Alcocer-Gómez, Elísabet, Alessandri, Cristiano, Ali, Muhammad, Alim Al-Bari, M Abdul, Aliwaini, Saeb, Alizadeh, Javad, Almacellas, Eugènia, Almasan, Alexandru, Alonso, Alicia, Alonso, Guillermo D, Altan-Bonnet, Nihal, Altieri, Dario C, Álvarez, Élida MC, Alves, Sara, Alves Da Costa, Cristine, Alzaharna, Mazen M, Amadio, Marialaura, Amantini, Consuelo, Amaral, Cristina, Ambrosio, Susanna, Amer, Amal O, Ammanathan, Veena, An, Zhenyi, Andersen, Stig U, Andrabi, Shaida A, Andrade-Silva, Magaiver, Andres, Allen M, Angelini, Sabrina, Ann, David, Anozie, Uche C, Ansari, Mohammad Y, Antas, Pedro, Antebi, Adam, Antón, Zuriñe, Anwar, Tahira, Apetoh, Lionel, Apostolova, Nadezda, Araki, Toshiyuki, Araki, Yasuhiro, Arasaki, Kohei, Araújo, Wagner L, Araya, Jun, Arden, Catherine, Arévalo, Maria-Angeles, Arguelles, Sandro, Arias, Esperanza, Arikkath, Jyothi, Arimoto, Hirokazu, Ariosa, Aileen R, Armstrong-James, Darius, Arnauné-Pelloquin, Laetitia, Aroca, Angeles, Arroyo, Daniela S, Arsov, Ivica, Artero, Rubén, Asaro, Dalia Maria Lucia, Aschner, Michael, Ashrafizadeh, Milad, Ashur-Fabian, Osnat, Atanasov, Atanas G, Au, Alicia K, Auberger, Patrick, Auner, Holger W, Aurelian, Laure, Autelli, Riccardo, Avagliano, Laura, Ávalos, Yenniffer, Aveic, Sanja, Aveleira, Célia Alexandra, Avin-Wittenberg, Tamar, Aydin, Yucel, Ayton, Scott, Ayyadevara, Srinivas, Azzopardi, Maria, Baba, Misuzu, Backer, Jonathan M, Backues, Steven K, Bae, Dong-Hun, Bae, Ok-Nam, Bae, Soo Han, Baehrecke, Eric H, Baek, Ahruem, Baek, Seung-Hoon, Baek, Sung Hee, Bagetta, Giacinto, Bagniewska-Zadworna, Agnieszka, Bai, Hua, Bai, Jie, Bai, Xiyuan, Bai, Yidong, Bairagi, Nandadulal, Baksi, Shounak, Balbi, Teresa, Baldari, Cosima T, Balduini, Walter, Ballabio, Andrea, Ballester, Maria, Balazadeh, Salma, Balzan, Rena, Bandopadhyay, Rina, Banerjee, Sreeparna, Banerjee, Sulagna, Bánréti, Ágnes, Bao, Yan, Baptista, Mauricio S, Baracca, Alessandra, Barbati, Cristiana, Bargiela, Ariadna, Barilà, Daniela, Barlow, Peter G, Barmada, Sami J, Barreiro, Esther, Barreto, George E, Bartek, Jiri, Bartel, Bonnie, Bartolome, Alberto, Barve, Gaurav R, Basagoudanavar, Suresh H, Bassham, Diane C, Bast, Robert C, Basu, Alakananda, Batoko, Henri, Batten, Isabella, Baulieu, Etienne E, Baumgarner, Bradley L, Bayry, Jagadeesh, Beale, Rupert, Beau, Isabelle, Beaumatin, Florian, Bechara, Luiz RG, Beck, George R, Beers, Michael F, Begun, Jakob, Behrends, Christian, Behrens, Georg MN, Bei, Roberto, Bejarano, Eloy, Bel, Shai, Behl, Christian, Belaid, Amine, Belgareh-Touzé, Naïma, Bellarosa, Cristina, Belleudi, Francesca, Belló Pérez, Melissa, Bello-Morales, Raquel, Beltran, Jackeline Soares De Oliveira, Beltran, Sebastián, Benbrook, Doris Mangiaracina, Bendorius, Mykolas, Benitez, Bruno A, Benito-Cuesta, Irene, Bensalem, Julien, Berchtold, Martin W, Berezowska, Sabina, Bergamaschi, Daniele, Bergami, Matteo, Bergmann, Andreas, Berliocchi, Laura, Berlioz-Torrent, Clarisse, Bernard, Amélie, Berthoux, Lionel, Besirli, Cagri G, Besteiro, Sebastien, Betin, Virginie M, Beyaert, Rudi, Bezbradica, Jelena S, Bhaskar, Kiran, Bhatia-Kissova, Ingrid, Bhattacharya, Resham, Bhattacharya, Sujoy, Bhattacharyya, Shalmoli, Bhuiyan, Md Shenuarin, Bhutia, Sujit Kumar, Bi, Lanrong, Bi, Xiaolin, Biden, Trevor J, Bijian, Krikor, Billes, Viktor A, Binart, Nadine, Bincoletto, Claudia, Birgisdottir, Asa B, Bjorkoy, Geir, Blanco, Gonzalo, Blas-Garcia, Ana, Blasiak, Janusz, Blomgran, Robert, Blomgren, Klas, Blum, Janice S, Boada-Romero, Emilio, Boban, Mirta, Boesze-Battaglia, Kathleen, Boeuf, Philippe, Boland, Barry, Bomont, Pascale, Bonaldo, Paolo, Bonam, Srinivasa Reddy, Bonfili, Laura, Bonifacino, Juan S, Boone, Brian A, Bootman, Martin D, Bordi, Matteo, Borner, Christoph, Bornhauser, Beat C, Borthakur, Gautam, Bosch, Jürgen, Bose, Santanu, Botana, Luis M, Botas, Juan, Boulanger, Chantal M, Boulton, Michael E, Bourdenx, Mathieu, Bourgeois, Benjamin, Bourke, Nollaig M, Bousquet, Guilhem, Boya, Patricia, Bozhkov, Peter V, Bozi, Luiz HM, Bozkurt, Tolga O, Brackney, Doug E, Brandts, Christian H, Braun, Ralf J, Braus, Gerhard H, Bravo-Sagua, Roberto, Bravo-San Pedro, José M, Brest, Patrick, Bringer, Marie-Agnès, Briones-Herrera, Alfredo, Broaddus, V Courtney, Brodersen, Peter, Brodsky, Jeffrey L, Brody, Steven L, Bronson, Paola G, Bronstein, Jeff M, Brown, Carolyn N, Brown, Rhoderick E, Brum, Patricia C, Brumell, John H, Brunetti-Pierri, Nicola, Bruno, Daniele, Bryson-Richardson, Robert J, Bucci, Cecilia, Buchrieser, Carmen, Bueno, Marta, Buitrago-Molina, Laura Elisa, Buraschi, Simone, Buch, Shilpa, Buchan, J Ross, Buckingham, Erin M, Budak, Hikmet, Budini, Mauricio, Bultynck, Geert, Burada, Florin, Burgoyne, Joseph R, Burón, M Isabel, Bustos, Victor, Büttner, Sabrina, Butturini, Elena, Byrd, Aaron, Cabas, Isabel, Cabrera-Benitez, Sandra, Cadwell, Ken, Cai, Jingjing, Cai, Lu, Cai, Qian, Cairó, Montserrat, Calbet, Jose A, Caldwell, Guy A, Caldwell, Kim A, Call, Jarrod A, Calvani, Riccardo, Calvo, Ana C, Calvo-Rubio Barrera, Miguel, Camara, Niels Os, Camonis, Jacques H, Camougrand, Nadine, Campanella, Michelangelo, Campbell, Edward M, Campbell-Valois, François-Xavier, Campello, Silvia, Campesi, Ilaria, Campos, Juliane C, Camuzard, Olivier, Cancino, Jorge, Candido De Almeida, Danilo, Canesi, Laura, Caniggia, Isabella, Canonico, Barbara, Cantí, Carles, Cao, Bin, Caraglia, Michele, Caramés, Beatriz, Carchman, Evie H, Cardenal-Muñoz, Elena, Cardenas, Cesar, Cardenas, Luis, Cardoso, Sandra M, Carew, Jennifer S, Carle, Georges F, Carleton, Gillian, Carloni, Silvia, Carmona-Gutierrez, Didac, Carneiro, Leticia A, Carnevali, Oliana, Carosi, Julian M, Carra, Serena, Carrier, Alice, Carrier, Lucie, Carroll, Bernadette, Carter, A Brent, Carvalho, Andreia Neves, Casanova, Magali, Casas, Caty, Casas, Josefina, Cassioli, Chiara, Castillo, Eliseo F, Castillo, Karen, Castillo-Lluva, Sonia, Castoldi, Francesca, Castori, Marco, Castro, Ariel F, Castro-Caldas, Margarida, Castro-Hernandez, Javier, Castro-Obregon, Susana, Catz, Sergio D, Cavadas, Claudia, Cavaliere, Federica, Cavallini, Gabriella, Cavinato, Maria, Cayuela, Maria L, Cebollada Rica, Paula, Cecarini, Valentina, Cecconi, Francesco, Cechowska-Pasko, Marzanna, Cenci, Simone, Ceperuelo-Mallafré, Victòria, Cerqueira, João J, Cerutti, Janete M, Cervia, Davide, Cetintas, Vildan Bozok, Cetrullo, Silvia, Chae, Han-Jung, Chagin, Andrei S, Chai, Chee-Yin, Chakrabarti, Gopal, Chakrabarti, Oishee, Chakraborty, Tapas, Chakraborty, Trinad, Chami, Mounia, Chamilos, Georgios, Chan, David W, Chan, Edmond YW, Chan, Edward D, Chan, HY Edwin, Chan, Helen H, Chan, Hung, Chan, Matthew TV, Chan, Yau Sang, Chandra, Partha K, Chang, Chih-Peng, Chang, Chunmei, Chang, Hao-Chun, Chang, Kai, Chao, Jie, Chapman, Tracey, Charlet-Berguerand, Nicolas, Chatterjee, Samrat, Chaube, Shail K, Chaudhary, Anu, Chauhan, Santosh, Chaum, Edward, Checler, Frédéric, Cheetham, Michael E, Chen, Chang-Shi, Chen, Guang-Chao, Chen, Jian-Fu, Chen, Liam L, Chen, Leilei, Chen, Lin, Chen, Mingliang, Chen, Mu-Kuan, Chen, Ning, Chen, Quan, Chen, Ruey-Hwa, Chen, Shi, Chen, Wei, Chen, Weiqiang, Chen, Xin-Ming, Chen, Xiong-Wen, Chen, Xu, Chen, Yan, Chen, Ye-Guang, Chen, Yingyu, Chen, Yongqiang, Chen, Yu-Jen, Chen, Yue-Qin, Chen, Zhefan Stephen, Chen, Zhi, Chen, Zhi-Hua, Chen, Zhijian J, Chen, Zhixiang, Cheng, Hanhua, Cheng, Jun, Cheng, Shi-Yuan, Cheng, Wei, Cheng, Xiaodong, Cheng, Xiu-Tang, Cheng, Yiyun, Cheng, Zhiyong, Chen, Zhong, Cheong, Heesun, Cheong, Jit Kong, Chernyak, Boris V, Cherry, Sara, Cheung, Chi Fai Randy, Cheung, Chun Hei Antonio, Cheung, King-Ho, Chevet, Eric, Chi, Richard J, Chiang, Alan Kwok Shing, Chiaradonna, Ferdinando, Chiarelli, Roberto, Chiariello, Mario, Chica, Nathalia, Chiocca, Susanna, Chiong, Mario, Chiou, Shih-Hwa, Chiramel, Abhilash I, Chiurchiù, Valerio, Cho, Dong-Hyung, Choe, Seong-Kyu, Choi, Augustine MK, Choi, Mary E, Choudhury, Kamalika Roy, Chow, Norman S, Chu, Charleen T, Chua, Jason P, Chua, John Jia En, Chung, Hyewon, Chung, Kin Pan, Chung, Seockhoon, Chung, So-Hyang, Chung, Yuen-Li, Cianfanelli, Valentina, Ciechomska, Iwona A, Cifuentes, Mariana, Cinque, Laura, Cirak, Sebahattin, Cirone, Mara, Clague, Michael J, Clarke, Robert, Clementi, Emilio, Coccia, Eliana M, Codogno, Patrice, Cohen, Ehud, Cohen, Mickael M, Colasanti, Tania, Colasuonno, 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Vega-Naredo, Ignacio, Vega-Rubin-De-Celis, Silvia, Velasco, Guillermo, Velázquez, Ariadna P, Vellai, Tibor, Vellenga, Edo, Velotti, Francesca, Verdier, Mireille, Verginis, Panayotis, Vergne, Isabelle, Verkade, Paul, Verma, Manish, Verstreken, Patrik, Vervliet, Tim, Vervoorts, Jörg, Vessoni, Alexandre T, Victor, Victor M, Vidal, Michel, Vidoni, Chiara, Vieira, Otilia V, Vierstra, Richard D, Viganó, Sonia, Vihinen, Helena, Vijayan, Vinoy, Vila, Miquel, Vilar, Marçal, Villalba, José M, Villalobo, Antonio, Villarejo-Zori, Beatriz, Villarroya, Francesc, Villarroya, Joan, Vincent, Olivier, Vindis, Cecile, Viret, Christophe, Viscomi, Maria Teresa, Visnjic, Dora, Vitale, Ilio, Vocadlo, David J, Voitsekhovskaja, Olga V, Volonté, Cinzia, Volta, Mattia, Vomero, Marta, Von Haefen, Clarissa, Vooijs, Marc A, Voos, Wolfgang, Vucicevic, Ljubica, Wade-Martins, Richard, Waguri, Satoshi, Waite, Kenrick A, Wakatsuki, Shuji, Walker, David W, Walker, Mark J, Walker, Simon A, Walter, Jochen, Wandosell, Francisco G, Wang, Bo, Wang, Chao-Yung, Wang, Chen, Wang, Chenran, Wang, Chenwei, Wang, Cun-Yu, Wang, Dong, Wang, Fangyang, Wang, Feng, Wang, Fengming, Wang, Guansong, Wang, Han, Wang, Hao, Wang, Hexiang, Wang, Hong-Gang, Wang, Jianrong, Wang, Jigang, Wang, Jiou, Wang, Jundong, Wang, Kui, Wang, Lianrong, Wang, Liming, Wang, Maggie Haitian, Wang, Meiqing, Wang, Nanbu, Wang, Pengwei, Wang, Peipei, Wang, Ping, Wang, Qing Jun, Wang, Qing, Wang, Qing Kenneth, Wang, Qiong A, Wang, Wen-Tao, Wang, Wuyang, Wang, Xinnan, Wang, Xuejun, Wang, Yan, Wang, Yanchang, Wang, Yanzhuang, Wang, Yen-Yun, Wang, Yihua, Wang, Yipeng, Wang, Yu, Wang, Yuqi, Wang, Zhe, Wang, Zhenyu, Wang, Zhouguang, Warnes, Gary, Warnsmann, Verena, Watada, Hirotaka, Watanabe, Eizo, Watchon, Maxinne, Wawrzyńska, Anna, Weaver, Timothy E, Wegrzyn, Grzegorz, Wehman, Ann M, Wei, Huafeng, Wei, Lei, Wei, Taotao, Wei, Yongjie, Weiergräber, Oliver H, Weihl, Conrad C, Weindl, Günther, Weiskirchen, Ralf, Wells, Alan, Wen, Runxia H, Wen, Xin, Werner, Antonia, Weykopf, Beatrice, Wheatley, Sally P, Whitton, J Lindsay, Whitworth, Alexander J, Wiktorska, Katarzyna, Wildenberg, Manon E, Wileman, Tom, Wilkinson, Simon, Willbold, Dieter, Williams, Brett, Williams, Robin SB, Williams, Roger L, Williamson, Peter R, Wilson, Richard A, Winner, Beate, Winsor, Nathaniel J, Witkin, Steven S, Wodrich, Harald, Woehlbier, Ute, Wollert, Thomas, Wong, Esther, Wong, Jack Ho, Wong, Richard W, Wong, Vincent Kam Wai, Wong, W Wei-Lynn, Wu, An-Guo, Wu, Chengbiao, Wu, Jian, Wu, Junfang, Wu, Kenneth K, Wu, Min, Wu, Shan-Ying, Wu, Shengzhou, Wu, Shu-Yan, Wu, Shufang, Wu, William KK, Wu, Xiaohong, Wu, Xiaoqing, Wu, Yao-Wen, Wu, Yihua, Xavier, Ramnik J, Xia, Hongguang, Xia, Lixin, Xia, Zhengyuan, Xiang, Ge, Xiang, Jin, Xiang, Mingliang, Xiang, Wei, Xiao, Bin, Xiao, Guozhi, Xiao, Hengyi, Xiao, Hong-Tao, Xiao, Jian, Xiao, Lan, Xiao, Shi, Xiao, Yin, Xie, Baoming, Xie, Chuan-Ming, Xie, Min, Xie, Yuxiang, Xie, Zhiping, Xie, Zhonglin, Xilouri, Maria, Xu, Congfeng, Xu, En, Xu, Haoxing, Xu, Jing, Xu, JinRong, Xu, Liang, Xu, Wen Wen, Xu, Xiulong, Xue, Yu, Yakhine-Diop, Sokhna MS, Yamaguchi, Masamitsu, Yamaguchi, Osamu, Yamamoto, Ai, Yamashina, Shunhei, Yan, Shengmin, Yan, Shian-Jang, Yan, Zhen, Yanagi, Yasuo, Yang, Chuanbin, Yang, Dun-Sheng, Yang, Huan, Yang, Huang-Tian, Yang, Hui, Yang, Jin-Ming, Yang, Jing, Yang, Jingyu, Yang, Ling, Yang, Liu, Yang, Ming, Yang, Pei-Ming, Yang, Qian, Yang, Seungwon, Yang, Shu, Yang, Shun-Fa, Yang, Wannian, Yang, Wei Yuan, Yang, Xiaoyong, Yang, Xuesong, Yang, Yi, Yang, Ying, Yao, Honghong, Yao, Shenggen, Yao, Xiaoqiang, Yao, Yong-Gang, Yao, Yong-Ming, Yasui, Takahiro, Yazdankhah, Meysam, Yen, Paul M, Yi, Cong, Yin, Xiao-Ming, Yin, Yanhai, Yin, Zhangyuan, Yin, Ziyi, Ying, Meidan, Ying, Zheng, Yip, Calvin K, Yiu, Stephanie Pei Tung, Yoo, Young H, Yoshida, Kiyotsugu, Yoshii, Saori R, Yoshimori, Tamotsu, Yousefi, Bahman, Yu, Boxuan, Yu, Haiyang, Yu, Jun, Yu, Li, Yu, Ming-Lung, Yu, Seong-Woon, Yu, Victor C, Yu, W Haung, Yu, Zhengping, Yu, Zhou, Yuan, Junying, Yuan, Ling-Qing, Yuan, Shilin, Yuan, Shyng-Shiou F, Yuan, Yanggang, Yuan, Zengqiang, Yue, Jianbo, Yue, Zhenyu, Yun, Jeanho, Yung, Raymond L, Zacks, David N, Zaffagnini, Gabriele, Zambelli, Vanessa O, Zanella, Isabella, Zang, Qun S, Zanivan, Sara, Zappavigna, Silvia, Zaragoza, Pilar, Zarbalis, Konstantinos S, Zarebkohan, Amir, Zarrouk, Amira, Zeitlin, Scott O, Zeng, Jialiu, Zeng, Ju-Deng, Žerovnik, Eva, Zhan, Lixuan, Zhang, Bin, Zhang, Donna D, Zhang, Hanlin, Zhang, Hong, Zhang, Honghe, Zhang, Huafeng, Zhang, Huaye, Zhang, Hui, Zhang, Hui-Ling, Zhang, Jianbin, Zhang, Jianhua, Zhang, Jing-Pu, Zhang, Kalin YB, Zhang, Leshuai W, Zhang, Lin, Zhang, Lisheng, Zhang, Lu, Zhang, Luoying, Zhang, Menghuan, Zhang, Peng, Zhang, Sheng, Zhang, Wei, Zhang, Xiangnan, Zhang, Xiao-Wei, Zhang, Xiaolei, Zhang, Xiaoyan, Zhang, Xin, Zhang, Xinxin, Zhang, Xu Dong, Zhang, Yang, Zhang, Yanjin, Zhang, Yi, Zhang, Ying-Dong, Zhang, Yingmei, Zhang, Yuan-Yuan, Zhang, Yuchen, Zhang, Zhe, Zhang, Zhengguang, Zhang, Zhibing, Zhang, Zhihai, Zhang, Zhiyong, Zhang, Zili, Zhao, Haobin, Zhao, Lei, Zhao, Shuang, Zhao, Tongbiao, Zhao, Xiao-Fan, Zhao, Ying, Zhao, Yongchao, Zhao, Yongliang, Zhao, Yuting, Zheng, Guoping, Zheng, Kai, Zheng, Ling, Zheng, Shizhong, Zheng, Xi-Long, Zheng, Yi, Zheng, Zu-Guo, Zhivotovsky, Boris, Zhong, Qing, Zhou, Ao, Zhou, Ben, Zhou, Cefan, Zhou, Gang, Zhou, Hao, Zhou, Hong, Zhou, Hongbo, Zhou, Jie, Zhou, Jing, Zhou, Jiyong, Zhou, Kailiang, Zhou, Rongjia, Zhou, Xu-Jie, Zhou, Yanshuang, Zhou, Yinghong, Zhou, Yubin, Zhou, Zheng-Yu, Zhou, Zhou, Zhu, Binglin, Zhu, Changlian, Zhu, Guo-Qing, Zhu, Haining, Zhu, Hongxin, Zhu, Hua, Zhu, Wei-Guo, Zhu, Yanping, Zhu, Yushan, Zhuang, Haixia, Zhuang, Xiaohong, Zientara-Rytter, Katarzyna, Zimmermann, Christine M, Ziviani, Elena, Zoladek, Teresa, Zong, Wei-Xing, Zorov, Dmitry B, Zorzano, Antonio, Zou, Weiping, Zou, Zhen, Zou, Zhengzhi, Zuryn, Steven, Zwerschke, Werner, Brand-Saberi, Beate, Dong, X Charlie, Kenchappa, Chandra Shekar, Li, Zuguo, Lin, Yong, Oshima, Shigeru, Rong, Yueguang, Sluimer, Judith C, Stallings, Christina L, and Tong, Chun-Kit
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phagophore ,vacuole ,Autophagosome ,neurodegeneration ,Autophagosomes ,Autophagy-Related Proteins ,flux ,macroautophagy ,stress ,LC3 ,lysosome ,Autophagy ,cancer ,Animals ,Humans ,Biological Assay ,Lysosomes ,Biomarkers - Abstract
In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be a dogmatic set of rules, because the appropriateness of any assay largely depends on the question being asked and the system being used. Moreover, no individual assay is perfect for every situation, calling for the use of multiple techniques to properly monitor autophagy in each experimental setting. Finally, several core components of the autophagy machinery have been implicated in distinct autophagic processes (canonical and noncanonical autophagy), implying that genetic approaches to block autophagy should rely on targeting two or more autophagy-related genes that ideally participate in distinct steps of the pathway. Along similar lines, because multiple proteins involved in autophagy also regulate other cellular pathways including apoptosis, not all of them can be used as a specific marker for bona fide autophagic responses. Here, we critically discuss current methods of assessing autophagy and the information they can, or cannot, provide. Our ultimate goal is to encourage intellectual and technical innovation in the field.
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39. Additional file 2 of IL-1β augments TGF-β inducing epithelial-mesenchymal transition of epithelial cells and associates with poor pulmonary function improvement in neutrophilic asthmatics
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Zhang, Shengding, Fan, Yu, Qin, Lu, Fang, Xiaoyu, Zhang, Cong, Yue, Junqing, Bai, Wenxue, Wang, Gang, Chen, Zhihong, Renz, Harld, Skevaki, Chrysanthi, Liu, Xiansheng, and Xie, Min
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fluids and secretions ,respiratory tract diseases - Abstract
Additional file 2: Table S1. The correlations among baseline sputum cell mRNA expression and induced sputum cell counts of asthmatic patients (n = 115).
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40. Confidence Distribution and Distribution Estimation for Modern Statistical Inference
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Cui, Yifan and Xie, Min-ge
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Methodology (stat.ME) ,FOS: Computer and information sciences ,Statistics - Methodology - Abstract
This paper introduces to readers the new concept and methodology of confidence distribution and the modern-day distributional inference in statistics. This discussion should be of interest to people who would like to go into the depth of the statistical inference methodology and to utilize distribution estimators in practice. We also include in the discussion the topic of generalized fiducial inference, a special type of modern distributional inference, and relate it to the concept of confidence distribution. Several real data examples are also provided for practitioners. We hope that the selected content covers the greater part of the developments on this subject., Comment: To appear as a chapter in Springer Handbook of Engineering Statistics, 2nd ed
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41. Additional file 1 of PINK1 contained in huMSC-derived exosomes prevents cardiomyocyte mitochondrial calcium overload in sepsis via recovery of mitochondrial Ca2+ efflux
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Zhou, Qin, Xie, Min, Zhu, Jing, Yi, Qin, Tan, Bin, Yasha Li, Ye, Liang, Xinyuan Zhang, Zhang, Ying, Tian, Jie, and Xu, Hao
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Additional file 1: Table S1. Index of Left Ventricular Function measured by Echocardiography. Supplementary Figure 1. Quantitative analysis of protein expression. A: The exosome markers, *p
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42. Additional file 1 of Transcriptome sequencing reveals a lncRNA���mRNA interaction network in extramammary Paget���s disease
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Zheng, Da-chao, Shen, Yan-ting, Wei, Zi-wei, Wan, Xiang, Xie, Min-kai, Yao, Hai-jun, and Wang, Zhong
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Additional file 1. The 39 mRNAs in the ceRNA network and their GO, KEGG, Reactome and Wikipathway enrichment analysis.
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- 2021
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43. Additional file 2 of Aneuploid abortion correlates positively with MAD1 overexpression and miR-125b down-regulation
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Zhao, Juan, Li, Hui, Guangxin Chen, Lijun Du, Peiyan Xu, Xiaoli Zhang, Xie, Min, Tiansheng Cao, and Haibo Li
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Additional file 1: Table S1. Relative expression of miR-125b, MAD1 and BUB3 was calculated by using original qRT-PCR data. Figure. S1. The related indexes of Table S1 were plotted using Sigmaplot software. Table S2. The data were analysed according to the grey value of the WB signal of MAD1 and BUB3 protein expression. Figure. S2. WB of MAD1 and BUB3. The related indexes of Table S2 were plotted using Sigmaplot software.
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44. Additional file 5 of IL-1β augments TGF-β inducing epithelial-mesenchymal transition of epithelial cells and associates with poor pulmonary function improvement in neutrophilic asthmatics
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Zhang, Shengding, Fan, Yu, Qin, Lu, Fang, Xiaoyu, Zhang, Cong, Yue, Junqing, Bai, Wenxue, Wang, Gang, Chen, Zhihong, Renz, Harld, Skevaki, Chrysanthi, Liu, Xiansheng, and Xie, Min
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fluids and secretions ,sense organs ,skin and connective tissue diseases - Abstract
Additional file 5: Table S3. The correlations among baseline sputum inflammatory factors and spirometry change in asthmatic patients.
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45. Additional file 7 of IL-1β augments TGF-β inducing epithelial-mesenchymal transition of epithelial cells and associates with poor pulmonary function improvement in neutrophilic asthmatics
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Zhang, Shengding, Fan, Yu, Qin, Lu, Fang, Xiaoyu, Zhang, Cong, Yue, Junqing, Bai, Wenxue, Wang, Gang, Chen, Zhihong, Renz, Harld, Skevaki, Chrysanthi, Liu, Xiansheng, and Xie, Min
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hormones, hormone substitutes, and hormone antagonists ,respiratory tract diseases - Abstract
Additional file 7: Figure S4. The effect of glucocorticoid and montelukast sodium on TGF-β1 combined with IL-1β-induced EMT in A549 cells.
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46. Additional file 6 of IL-1β augments TGF-β inducing epithelial-mesenchymal transition of epithelial cells and associates with poor pulmonary function improvement in neutrophilic asthmatics
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Zhang, Shengding, Fan, Yu, Qin, Lu, Fang, Xiaoyu, Zhang, Cong, Yue, Junqing, Bai, Wenxue, Wang, Gang, Chen, Zhihong, Renz, Harld, Skevaki, Chrysanthi, Liu, Xiansheng, and Xie, Min
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animal diseases ,mental disorders ,respiratory system ,respiratory tract diseases - Abstract
Additional file 6: Figure S3. The thickness of RBM was increased in asthmatics and positively correlated with neutrophil percentage in BALF.
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- 2021
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47. Additional file 4 of IL-1β augments TGF-β inducing epithelial-mesenchymal transition of epithelial cells and associates with poor pulmonary function improvement in neutrophilic asthmatics
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Zhang, Shengding, Fan, Yu, Qin, Lu, Fang, Xiaoyu, Zhang, Cong, Yue, Junqing, Bai, Wenxue, Wang, Gang, Chen, Zhihong, Renz, Harld, Skevaki, Chrysanthi, Liu, Xiansheng, and Xie, Min
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Additional file 4: Figure S2. Lung function and ACT scores after 6 months standardized therapy among four subgroups of asthmatic patients.
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48. Additional file 3 of Transcriptome sequencing reveals a lncRNA���mRNA interaction network in extramammary Paget���s disease
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Zheng, Da-chao, Shen, Yan-ting, Wei, Zi-wei, Wan, Xiang, Xie, Min-kai, Yao, Hai-jun, and Wang, Zhong
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Additional file 3. The clinical characteristics of the 10 patients for validation.
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49. Additional file 2 of Transcriptome sequencing reveals a lncRNA���mRNA interaction network in extramammary Paget���s disease
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Zheng, Da-chao, Shen, Yan-ting, Wei, Zi-wei, Wan, Xiang, Xie, Min-kai, Yao, Hai-jun, and Wang, Zhong
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Additional file 2. The results of qRT-PCR analysis showed that NEAT1, PGAP1, FKBP5 and CDON had a well ability to identify the EMPD samples from the controls.
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50. Additional file 2 of NRF2 is required for structural and metabolic maturation of human induced pluripotent stem cell-derived ardiomyocytes
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Xinyuan Zhang, Ye, Liang, Xu, Hao, Zhou, Qin, Tan, Bin, Yi, Qin, Yan, Liang, Xie, Min, Zhang, Yin, Tian, Jie, and Zhu, Jing
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Additional file 1: Figure S1. Characterization of hiPSCs. (A) Cardiomyogenic differentiation protocol including hiPSC expansion, cardiomyocyte differentiation, purification, culture, and treatments. The different media and study factors used on different days of the timeline are indicated. (B) Immunostaining for SOX2 and Nanog in the hiPSCs. qPCR of OCT4 (C) and Nanog (D) during differentiation. The abscissa represents the number of days of differentiation. n = 3; the means ± SEM are shown. ****P < 0.0001. Figure S2. siRNA knockdown of NRF2 decreased hiPSC-CMs functional maturation. hiPSC-CMs were analyzed by calcium transient kinetics evaluated with Fluo-4 AM. n > 3 cells per condition, three biological replicates. (A) Representative calcium transient; (B) calcium transient amplitude (F/F0). (C) Maximum calcium transient upstroke velocities. (D) Maximum calcium transient decay velocities. The means ± SEM are shown. ** P < 0. 01, **** P < 0. 0001. Figure S3. siRNA knockdown of NRF2 decreased hiPSC-CMs mitochondrial maturation. (A) mtDNA copy numbers of siNRF2- and siNC-hiPSC-CMs were determined by qPCR; n = 3. (B) Mitochondrial staining by MitoTracker Red (red, mitochondria; blue, nucleus); Scale bar = 10 μm. (C-D) Mitochondrial membrane potential (mtΔΨ) of siNRF2 and siNC hiPSC-CMs are determined by JC-1 staining. (C) Quantitative analysis of the mitochondrial membrane potential (mtΔΨ); n > 4 cells per condition, three biological replicates. (D) Representative mtΔΨ in of siNRF2 and siNC hiPSC-CMs. Scale bar = 10 μm. The means ± SEM are shown. * P < 0. 05, **** P < 0. 0001. Figure S4. Cell proliferation of siKEAP1 and siNC hiPSC-CMs as analyzed by an BeyoClick™ EdU cell proliferation kit with Alexa Fluor 488 and immunostaining of cTnT (red). Figure S5. NRF2 promotes the mitochondrial maturation of hiPSC-CMs. (A) mtDNA copy numbers of siKEAP1 and siNC hiPSC-CMs were determined by qPCR. n = 3. (B) Mitochondrial staining by MitoTracker Red (red, mitochondria; blue, nucleus); Scale bar = 10 μm. (C, E) Mitochondrial membrane potential (mtΔΨ) of the siKEAP1 and siNC hiPSC-CMs are determined by JC-1 staining. (C) Quantitative analysis of the mitochondrial membrane potential (mtΔΨ). n > 8 cells per condition, three biological replicates. (E) Representative mtΔΨ in of the siKEAP1 and siNC hiPSC-CMs; Scale bar = 10 μm. (D) ATP content of the siKEAP1 and siNC hiPSC-CMs were determined using an ATP assay kit; n = 3. The means ± SEM are shown. * P < 0. 05, *** P < 0. 001. Online Table 1. List of primers used for Q-PCR and mtDNA copy number.
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- 2021
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