156 results on '"Xiaoxia Zhao"'
Search Results
2. Timing: Tag Interference Modeling for RFID Localization in Dense Deployment
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Yang Zhao, Xiaoxia Zhao, Lingyun Li, Xianhui Liu, and Qinwei Li
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Electrical and Electronic Engineering ,Instrumentation - Published
- 2022
3. Early leukoencephalopathy during daratumumab treatment in a patient with multiple myeloma
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Shanshan Liu, Hongwei Zhou, Weiling Xu, Tao Jin, Xinyue Liang, Xiaoxia Zhao, Yun Dai, and Fengyan Jin
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Hematology ,General Medicine - Published
- 2023
4. A positive correlation between local photocurrent and grain size in a perovskite solar cell
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Xiaoxia Zhao, Zhiyong Wang, Wenming Tian, Xianchang Yan, Yantao Shi, Yudi Wang, Zhonggao Sun, and Shengye Jin
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Fuel Technology ,Electrochemistry ,Energy Engineering and Power Technology ,Energy (miscellaneous) - Published
- 2022
5. Challenges of Scalable Development for Perovskite/Silicon Tandem Solar Cells
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Ziyue Qiang, Caixia Wang, Xiang Gao, Xiaoxia Zhao, Hongbo Tian, Wei Wang, Jun Zong, and Jihong Fan
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Materials Chemistry ,Electrochemistry ,Energy Engineering and Power Technology ,Chemical Engineering (miscellaneous) ,Electrical and Electronic Engineering - Published
- 2022
6. Clinical study on the feasibility of new thrombus markers in predicting massive cerebral infarction
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Xiaoxia Zhao, Siyu Yang, Ruining Lei, Qiaoyan Duan, Jundong Li, Jiangtao Meng, and Lei Sun
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Neurology ,Neurology (clinical) - Abstract
ObjectiveThis study investigated the diagnostic performance of the thrombin-antithrombin complex (TAT), plasmin-α2 plasmin inhibitor complex (PIC), tissue plasminogen activator-plasminogen activator inhibitor complex (t-PAIC), and thrombomodulin (TM) in the early identification of massive cerebral infarction.MethodA total of 423 patients with cerebral infarction confirmed by imaging examination were divided into the massive cerebral infarction (MCI) group and the non-massive cerebral infarction (NMCI) group. TAT, PIC, t-PAIC, and TM were measured immediately after admission. The diagnostic performance was analyzed by the receiver characteristic operating curve (ROC).ResultThe median plasma concentrations of TAT, PIC, and t-PAIC in patients with MCI at early onset were 5.10 ng/ml, 1.11 μg/ml, and 8.80 ng/ml, respectively, which were higher than those in patients with NMCI (2.20 ng/ml, 0.59 μg/ml, and 7.35 ng/ml), and the difference was statistically significant (P < 0.001). TAT was shown to be an independent risk factor for the development of massive cerebral infarction by a multivariate logistic regression analysis (OR = 1.138). A ROC curve analysis showed that PIC had the best performance in identifying MCI at an early stage (AUC = 82.8%), with a sensitivity of 80.7% and a specificity of 76.2% when the PIC concentration was ≥0.8 μg/ml; TAT had the highest specificity in identifying MCI, with a specificity of 80.6% when the TAT concentration was ≥3.97 ng/ml.ConclusionThe detection of PIC, TAT, t-PAIC, and TM is a comprehensive assessment of vascular endothelial damage and activation of the coagulation and fibrinolytic systems and has diagnostic value for early identification of patients with MCI, which, together with its ease of detection, can be used as a plasma marker for early identification of large vessel occlusion.
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- 2023
7. Design and Research of IOT Based Logistics Warehousing and Distribution Management System
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Suqin Guo, Yu Zhang, and Xiaoxia Zhao
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- 2023
8. Aggressive disseminated Rhizomucor pusillus infection in a Ph-like acute lymphoblastic leukemia patient: Early detection by cell-free DNA next-generation sequencing
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Liming Shi, Xiaoxia Zhao, Xu Yan, Yu Liu, Yong Liu, He Cao, Keju Su, Cong Wang, Sujun Gao, and Qiuju Liu
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Adult ,Male ,Microbiology (medical) ,Antifungal Agents ,Infectious Diseases ,Adolescent ,High-Throughput Nucleotide Sequencing ,Humans ,Mucormycosis ,Pharmacology (medical) ,Precursor Cell Lymphoblastic Leukemia-Lymphoma ,Rhizomucor ,Cell-Free Nucleic Acids - Abstract
Disseminated Rhizomucor pusillus infection is a very rare but fatal complication in immunocompromised patients, because of aggressive clinical process with delayed diagnosis by routine laboratory tests. Recently, cell-free DNA next-generation sequencing (cfDNA NGS) has been used for the timely detection of infectious pathogens including mucormycosis. Herein, we described an 18-year-old male with Philadelphia-like acute lymphoblastic leukemia who received a timely diagnosis of R. pusillus infection by cell-free DNA next-generation sequencing, and confirmed by silver staining and qPCR on biopsy tissue. To the best of our knowledge, this was the first case of disseminated R. pusillus infection detected by cfDNA NGS and confirmed by histology in an adult leukemia patient. In addition, this case was supposed to be the most extensive R. pusillus infection diagnosed, involving the lung, skin, liver, kidney, spleen and brain, and the only one case who survived the infection had a favorable outcome through treatment with liposome amphotericin B sequential posaconazole. This case suggested that cfDNA NGS could be used to successfully detect rare pathogen infections, and this was especially important for R. pusillus because timely diagnosis and effective treatment could improve the prognosis of this kind of patient.
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- 2022
9. A Fast Template Matching Scheme of Visible and Infrared Image Under Occluded Scenarios
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Lichun Mei, Huaiye Wang, Caiyun Wang, Yuanfu Zhao, Jun Zhang, and Xiaoxia Zhao
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General Computer Science ,General Engineering ,General Materials Science ,Electrical and Electronic Engineering - Published
- 2022
10. The effect of (H2O)n (n = 1–3) clusters on the reaction of HONO with HCl: a mechanistic and kinetic study
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Xiaoxia Zhao, Zizhong Liu, Ruisheng Zhao, and Tianzi Xu
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General Physics and Astronomy ,Physical and Theoretical Chemistry - Abstract
The reaction between HONO and HCl is a possible pathway for the generation of ClNO, which is prone to photolyze, produce chlorine radicals, and accelerate the oxidation of tropospheric VOCs.
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- 2022
11. Matching by pixel distribution comparison: Multisource image template matching
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Lichun Mei, Yuanfu Zhao, Huaiye Wang, Caiyun Wang, Jun Zhang, and Xiaoxia Zhao
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Signal Processing ,Electrical and Electronic Engineering - Published
- 2022
12. Off‐label uses of ustekinumab
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Lihua Ye, Zhenfei Wu, Changrong Li, Xiaoxia Zhao, Mengjie Wan, and Li Wang
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Dermatology ,General Medicine - Abstract
Ustekinumab (brand name Stelara®) is a human interleukin-12 and -23 antagonist and has been indicated for the treatments of moderate to severe plaque psoriasis, psoriatic arthritis, Crohn's disease and ulcerative colitis. This review aims to synthesize and interpret the literature evaluating the off-label uses of ustekinumab. We performed searches in PubMed and ClinicalTrials.gov for clinical trials, observational studies, case series, and case reports evaluating label uses of ustekinumab. Studies evaluated the efficacy of ustekinumab for the following conditions: other types of psoriasis (expect plaque psoriasis and psoriatic arthritis), pityriasis rubra pilaris, hidradenitis suppurativa, atopic dermatitis, pyoderma gangrenosum, et al. Based on the available literature, ustekinumab appears to be a potential treatment choice for many other diseases. However, more clinical trials data are needed to adequately assess the safety and efficacy of ustekinumab for the treatment of these conditions.
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- 2022
13. A dual-site multifunctional fluorescent probe for selective detection of endogenous H
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Xue-Liang, Liu, Mengdi, Yan, Zhi-Guo, Chen, Bingxin, Zhang, Ningcong, Yao, Shan, Zhao, Xiaoxia, Zhao, Tao, Zhang, and Guangfan, Hai
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Mice ,Limit of Detection ,Optical Imaging ,Humans ,Animals ,Hydrogen Peroxide ,Fluorescent Dyes ,HeLa Cells - Abstract
In this paper, we reported a coumarin-based fluorescent probe for selective detection of H
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- 2022
14. The effects of secreted aspartyl proteinase inhibitor ritonavir on azoles‐resistant strains of Candida albicans as well as regulatory role of SAP2 and ERG11
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Xiaoqin Zhao, Wenli Feng, Min Zhao, Yan Ma, Jing Yang, Xiaoxia Zhao, and Zhiqin Xi
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Azoles ,0301 basic medicine ,SAP2 ,secreted aspartyl proteinases ,Antifungal Agents ,Aspartic Acid Proteases ,Immunology ,Drug resistance ,Gene mutation ,Microbiology ,law.invention ,Fungal Proteins ,ERG11 ,03 medical and health sciences ,0302 clinical medicine ,Cytochrome P-450 Enzyme System ,Drug Resistance, Fungal ,law ,Candida albicans ,medicine ,Aspartic Acid Endopeptidases ,Humans ,Immunology and Allergy ,Gene ,Polymerase chain reaction ,Original Research ,Ritonavir ,biology ,Broth microdilution ,RC581-607 ,biology.organism_classification ,Corpus albicans ,030104 developmental biology ,Immunologic diseases. Allergy ,Fluconazole ,030215 immunology ,medicine.drug - Abstract
Background Candida albicans, the main human fungal pathogen, can cause fungal infection and seriously affect people's health and life. This study aimed to investigate the effects of ritonavir (RIT) on C. albicans and the correlation between SAP2 as well as ERG11 and drug resistance. Results Secreted aspartyl proteinases (Saps) activities and pathogenicity of C. albicans with different drug resistance were measured. M27‐A4 broth microdilution method was used to analyze the drug sensitivity of RIT combined with fluconazole (FCA) on C. albicans. After that, SAP2 and ERG11 mutations were examined by polymerase chain reaction (PCR) and sequencing, and quantitative real‐time PCR was utilized to determine the expression of the two genes. By analyzing pz values, the Saps activity of cross‐resistant strains was the highest, followed by voriconazole (VRC)‐resistant strains, FCA‐resistant strains, itraconazole (ITR)‐resistant strains, and sensitive strains. The pathogenicity of C. albicans in descending order was as follows: cross‐resistant strains, VRC‐resistant strains, ITR‐resistant strains, FCA‐resistant strains, and sensitive strains. With the increase of RIT concentrations, the Saps activity was gradually inhibited. Drug sensitivity results showed that there was no synergistic effect between RIT and FCA. Additionally, no gene mutation sites were found in SAP2 sequencing, and 17 synonymous mutations and 6 missense mutations occurred in ERG11 sequencing. Finally, the expression of SAP2 and ERG11 was significantly higher in the resistant strains compared with the sensitive strains, and there was a positive liner correlation between SAP2 and ERG11 messenger RNA expression (r = .6655, p, These findings may help to improve our understanding of azole‐resistant mechanisms of C. albicans and provide a novel direction for clinical therapeutics of C. albicans infection.
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- 2021
15. The effect of (H
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Xiaoxia, Zhao, Zizhong, Liu, Ruisheng, Zhao, and Tianzi, Xu
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The reaction between HONO and HCl is a possible pathway for the generation of ClNO, which is prone to photolyze, produce chlorine radicals, and accelerate the oxidation of tropospheric VOCs. Current experimental and theoretical studies have significant differences in rate constants under similar conditions. This study aims to examine the reasons for this difference. In this study, the effects of a single water molecule, water dimer, water trimer, excess HCl and excess HONO on the reaction mechanism of HONO + HCl were studied at the CCSD(T)/aug-cc-pVTZ//M06-2X/6-311+G(2df,2p) level and the rate constants of each reaction channel were calculated. Our results showed that the reaction potential barrier of HONO with HCl was the lowest only when the water dimer was present, and the reaction rate constants were close to the experimental results, and both the
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- 2022
16. Physical Violence against Children by Parents among Primary School Students from a Rural Area in Shandong Province, China
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Yi Song, Jingqi Chen, Haixue Wang, Yanan Feng, and Xiaoxia Zhao
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Parents ,China ,medicine.medical_specialty ,Schools ,Health (social science) ,Health Policy ,Public health ,Public Health, Environmental and Occupational Health ,Cross-Sectional Studies ,Geography ,Physical Abuse ,Surveys and Questionnaires ,medicine ,Humans ,Child Abuse ,Rural area ,Child ,Students ,Socioeconomics - Abstract
Physical violence (PV) against children by parents is a worldwide public health concern. Fewer studies explored the prevalence of PV in rural areas of China. We conducted a cross-sectional survey among primary school students' parents in five rural schools located in a town of Shandong Province. Data about parental PV behaviors against their children during the past 3 months and possible risk factors of parental PV behaviors were collected. Logistic regression analyses were carried out to investigate the risk factors of parental PV behaviors against their children. Of the 978 parents investigated, the parental self-reported prevalence of PV against their children was 50.0%. Parents' favorable attitudes toward the use of corporal punishment to discipline children were found to be associated with their increased use of PV. The findings of higher prevalence of parental PV behaviors against children identified in this sample suggests the need for programs aimed at improving parents' parenting skills in this rural area of China.
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- 2021
17. Lidar Boosts 3D Ecological Observations and Modelings: A Review and Perspective
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Qinghua Guo, Jing Zhang, Xiaoxia Zhao, Kexin Xu, Hongcan Guan, Dengjie Wei, Nicholas C. Coops, Yanjun Su, Shichao Jin, Maggi Kelly, and Tianyu Hu
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Data processing ,010504 meteorology & atmospheric sciences ,General Computer Science ,Ecology ,Perspective (graphical) ,0211 other engineering and technologies ,02 engineering and technology ,Vegetation ,01 natural sciences ,Optical reflection ,Lidar ,General Earth and Planetary Sciences ,Environmental science ,Lidar data ,Ecosystem ,Electrical and Electronic Engineering ,Urban ecosystem ,Instrumentation ,021101 geological & geomatics engineering ,0105 earth and related environmental sciences - Abstract
The advent of lidar has revolutionized the way we observe and measure vegetation structure from the ground and from above and represents a major advance toward the quantification of 3D ecological observations. Developments in lidar hardware systems and data processing algorithms have greatly improved the accessibility and ease of use of lidar observations in ecological studies. A wide range of studies has been devoted to accurately measuring and modeling vegetation structural and functional attributes from lidar data across a range of spatial scales (from individual organs to global scales) and ecosystem types (e.g., forest, agricultural, grassland, and urban ecosystems).
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- 2021
18. Imaging features and clinical manifestations of neuromyelitis optica
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Jundong Li, Jing Guo, and Xiaoxia Zhao
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medicine.medical_specialty ,Neuromyelitis optica ,Neurology ,Computer science ,Multiple sclerosis ,Disease ,Management Science and Operations Research ,Library and Information Sciences ,medicine.disease ,Corpus callosum ,Fourth ventricle ,Dermatology ,eye diseases ,Computer Science Applications ,Hardware and Architecture ,medicine ,Optic nerve ,Myositis - Abstract
With the rapid development of modern medical technology and imaging technology, neuromyelitis optica has attracted more and more attention of medical workers. However, this central nervous disease, which affects the optic nerve and spinal cord, still afflicts many people. And the recurrence rate of this disease is very high, so that many patients become disabled, it is difficult to fundamentally cure. In this paper, according to the imaging characteristics and clinical manifestations of neuromyelitis optica, we collected experimental samples and related data of neuromyelitis optica patients in the Department of Neurology of our hospital. We selected 60 patients who were diagnosed as the research object of this paper, analyzed the relevant situation of brain lesions of neuromyelitis optica, and discussed their age, gender, first symptom, and shadow imaging features and clinical manifestations. This article hopes to analyze the imaging features and clinical manifestations of neuromyelitis optica brain lesions, use clinical features with differentiating evidence to guide clinical diagnosis, and effectively reduce the probability of clinical misdiagnosis. In addition, 20 patients were randomly followed up to understand their remaining symptoms and recurrence. The results of autoantibodies associated with other autoimmune diseases are more likely to be associated with other autoimmune diseases. Brain, skin, subcutaneous, and brain injuries can be areas with multiple sclerosis characteristics different from myositis. Patients with neuromyelitis optica do not have the special phenomenon of lesions perpendicular to the lateral ventricle. The medulla oblongata, pontine, and paraventricular involvement were the most common imaging features, and were also found in the fourth ventricle, around the aqueduct, basal ganglia, and corpus callosum.
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- 2021
19. INFORMATION DECISION MAKING AND COORDINATION BETWEEN BUSINESS LEADERS AND FOLLOWERS BASED ON LOW-CARBON BEHAVIOR
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Xiaoxia Zhao, Zhenji Zhang, and Fang Liu
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Environmental Engineering ,Management, Monitoring, Policy and Law ,Pollution - Published
- 2021
20. Carbonate biomineralization differentially induced by two psychrophilic Pseudomonas psychrophila strains isolated from an alpine travertine landform
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Yunbi Huang, Na Song, Geng Sun, Qiongfang Li, Lijun Yang, Yulian Zhao, Ling Pan, Pengju Dong, Xiaoxia Zhao, and Yi Zhou
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0301 basic medicine ,biology ,General Chemical Engineering ,Nucleation ,General Chemistry ,010502 geochemistry & geophysics ,biology.organism_classification ,01 natural sciences ,Mineralization (biology) ,03 medical and health sciences ,chemistry.chemical_compound ,030104 developmental biology ,Extracellular polymeric substance ,Calcium carbonate ,chemistry ,Chemical engineering ,Carbonate ,Psychrophile ,Pseudomonas psychrophila ,0105 earth and related environmental sciences ,Biomineralization - Abstract
Besides geography and climate, biological factors play an important role in shaping travertine landforms, but the biochemical mechanisms of microbial processes in travertine formation have been rarely studied. Two psychrophilic bacterial strains, A20-18 and B21-3 of Pseudomonas psychrophila, isolated from travertine pools of Huanglong, a typical alpine travertine landform, were investigated for their roles in calcium carbonate mineralization, including the deposition process and products. X-ray diffraction, Fourier-transform infrared spectroscopy, and scanning electron microscopy were used to characterize the crystal phase and morphology of CaCO3 precipitation. The results showed that there were no significant differences between the two strains in CaCO3 deposition rate. Extracellular polymeric substances (EPS)-free cells significantly inhibited calcification, compared with a control. Irregular crystals and polyhedral structures are common to all treatments using the two strains. These complex polycrystals were the result of the synergistic effect of homogeneous nucleation and heterogeneous nucleation. EPS and cells of strain B21-3 formed ring-like structures of calcium carbonate, which was possibly from the amphiphilic polymer forming a circular arrangement in water. These results are significant for understanding the microbial factor in Huanglong travertine deposition and providing new insights into the morphological control of the biomineralization mechanism at low temperatures.
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- 2021
21. Study on the Performance of Active Embedded Steel Wire Knot Form in Silicone Graphene Composite Thermal Insulation Structure Integrated System
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Xiaoxia Zhao, Dajiang Geng, Zhiqiang Cheng, Zhicheng Bai, Mingjian Long, Yang Chen, Qingqing Lu, and Wei Ying
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thermal insulation structure integration ,embedded steel wire knot ,pull-out resistance ,wind pressure strength ,free from formwork removal ,silicone graphene composite board ,Architecture ,Building and Construction ,Civil and Structural Engineering - Abstract
Based on the advantages of the silicone graphene composite thermal insulation board, it was used to replace traditional plywood in the external wall formwork system, and the active embedded steel wire knot form in silicone graphene composite thermal insulation structure integrated system was designed. Firstly, the theoretical model of steel wire drawing resistance was established by theoretical analysis method, and the rationality of the theoretical model was verified by combining relevant experimental data. The relationship between multiple variables and steel wire pull-out resistance was analyzed. Then, combined with the theory of wind pressure strength of the exterior wall of a building structure, the layout form and the corresponding number of embedded steel wires of thermal insulation board under different building heights were analyzed. Finally, the silicone graphene composite thermal insulation board and ordinary plywood were compared and analyzed from the force of perspective of external wall formwork. The results showed that the pull-out resistance of steel wire was directly proportional to the diameter of steel wire, embedded depth, and embedded deflection angle. With the increase of building height, the number of steel wires to be arranged also increased. When the thickness of the silicone graphene composite thermal insulation board is not less than 80 mm, the anti-deformation effect is close to that of the ordinary plywood, which can meet the construction requirements of the external wall formwork. It can ensure the energy conservation and thermal insulation of the external wall, integrate the building’s exterior wall and thermal insulation structure of the building, and achieve the purpose of exemption from formwork removal.
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- 2023
22. Discrete element analysis on dynamic characteristics of directional material flow driven by horizontal trough–free screw conveyor
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Hong Ren, Wenjun Meng, Xiaoxia Sun, Zhangda Zhao, and Xiaoxia Zhao
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General Chemical Engineering - Published
- 2023
23. A dual-site multifunctional fluorescent probe for selective detection of endogenous H2O2 and SO2 derivatives based on ICT process and its bioimaging application
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Xue-Liang Liu, Mengdi Yan, Zhi-guo Chen, Bingxin Zhang, Ningcong Yao, Shan Zhao, Xiaoxia Zhao, Tao Zhang, and Guangfan Hai
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Instrumentation ,Spectroscopy ,Atomic and Molecular Physics, and Optics ,Analytical Chemistry - Published
- 2023
24. The Historical Experience and Reflection on the Construction of Chemistry Core Course Textbooks in Science Press
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Li Ding and Xiaoxia Zhao
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General Medicine - Published
- 2023
25. Carotid arterial hemodynamics in patients with essential hypertension of different dialectical types of traditional Chinese medicine
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Lei Li, Xuesong Yang, Xiaoxia Zhao, Peng Zhang, Meiying Jin, and Yanjun Cui
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Advanced and Specialized Nursing ,medicine.medical_specialty ,business.industry ,Hemodynamics ,Syndrome ,Traditional Chinese medicine ,Blood flow ,Blood stasis ,Essential hypertension ,medicine.disease ,Transcranial Doppler ,Carotid Arteries ,Anesthesiology and Pain Medicine ,medicine.artery ,Internal medicine ,Middle cerebral artery ,Anterior cerebral artery ,medicine ,Cardiology ,Humans ,Essential Hypertension ,Medicine, Chinese Traditional ,business - Abstract
Background To probe into the relationship between traditional Chinese medicine (TCM) different dialectical types of essential hypertension and carotid artery hemodynamics. Methods According to TCM, different dialectical types, 189 patients suffering from essential hypertension were divided into five type groups by two deputy chief physicians of TCM, according to TCM diagnosis and treatment guide for hypertension prepared by the Chinese society of TCM in 2011. A total of 189 patients were examined by transcranial color doppler (TCD) and compared with 47 normal subjects. The measuring target included middle cerebral artery (MCA) and anterior cerebral artery (ACA), recording the average blood flow velocity (Vm) and vascular pulse index (PI). Results In MCAVm and ACAVm, hyperpyrexia of liver syndrome showed unique advantages and positive correlation. In MCAPI and ACAPI, internal block because of phlegm dampness, stasis syndrome, deficiency of qi and blood syndrome, and internal block because of blood stasis syndrome had advantages and positive correlation, and the above three groups were not statistically significant. Conclusions Our study determined different dialectical types and objective material foundations of TCM in hypertension, correlating with carotid artery hemodynamics. Also, dialectical treatment would reduce the cerebrovascular accident.
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- 2020
26. Advances in understanding the role of adiponectin in renal fibrosis
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Xuejiao Wei, Xiu Huang, Yujun Du, Lili Jiang, Dan Zhao, Xiaoyu Zhu, Yangyang Zhang, and Xiaoxia Zhao
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030232 urology & nephrology ,Renal function ,Inflammation ,030204 cardiovascular system & hematology ,Kidney ,urologic and male genital diseases ,Extracellular matrix ,Pathogenesis ,03 medical and health sciences ,0302 clinical medicine ,Renal fibrosis ,Animals ,Humans ,Medicine ,Adiponectin ,business.industry ,AMPK ,General Medicine ,medicine.disease ,Fibrosis ,Extracellular Matrix ,Nephrology ,Cancer research ,Kidney Diseases ,medicine.symptom ,business ,Signal Transduction ,Kidney disease - Abstract
Renal fibrosis is characterized by the proliferation of renal intrinsic cells, activation of renal interstitial fibroblasts and deposition of extracellular matrix (ECM), processes that lead to the progressive loss of renal function. Renal fibrosis is characterized by the proliferation of renal intrinsic cells, activation of renal interstitial fibroblasts, and septal fibrosis is recognized as a marker for the progression of chronic kidney disease, a condition that is associated with high morbidity and mortality and is a significant public health burden. Despite extensive studies, there are no effective treatments for renal fibrosis. Adiponectin (APN) is a protein mainly produced by adipocytes that has anti-inflammatory and anti-atherosclerotic effects, improves insulin resistance and provides other salutary effects. Recent studies found that APN can inhibit ECM deposition by inhibiting inflammation and oxidative stress, and by regulating the TGF-β, AMPK, MCP-1 and other signalling pathways. Many recent studies have examined the roles of these pathways in the pathogenesis of renal fibrosis. In this article, we review the pathogenic mechanism of APN in renal fibrosis and provide a theoretical basis for delaying and blocking renal fibrosis by alteration of APN activity.
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- 2020
27. The Two‐Steps Reaction Fluorescent Probe for the Selective Detection of Cysteine and Its Applications**
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Xueliang Liu, Haiyuan Wei, Mengdi Yan, Guangfan Hai, Qin Li, Ruifang Yan, Shan Zhao, Xiaoxia Zhao, Xiaoqing Sun, and Tao Zhang
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Humans ,Molecular Medicine ,Bioengineering ,Cysteine ,General Chemistry ,General Medicine ,Glutathione ,Molecular Biology ,Biochemistry ,Fluorescent Dyes ,HeLa Cells - Abstract
We reported the specific fluorescent probe (MC-BOD-XDS) with two-steps reaction based on monosulfanyl-coumarin-BODIPY for selective detection of cysteine, high activity sulfanyl-coumarin as the multiple reaction group instead of a group internal standard fluorophore. The reaction mechanism of MC-BOD-XDS for detecting cysteine was different from the reported probes about the nucleophilic aromatic substitution reaction (SNAr) of chlorinated BODIPY. The fluorescent color of MC-BOD-XDS changed from yellow to red, and then to orange. The linear calibration diagram showed that it can potentially be used for quantitatively detection of Cys. Its potential applications were demonstrated by employing it for detection of Cys in artificial urine and in fluorescent imaging in HeLa cells.
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- 2022
28. The influence of placebo administration on the first- night effect in patients with insomnia disorder
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Xiaoxia Zhao, Lin Lu, Yan Shao, Ping Yao, Wei Sun, Sifan Hu, Wen Pan, Jie Chen, Yuezhen Li, Xiangdong Tang, Sijia Lou, and Hongqiang Sun
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medicine.medical_specialty ,business.industry ,Polysomnography ,General Medicine ,Placebo ,Sleep in non-human animals ,Nocebo Effect ,03 medical and health sciences ,0302 clinical medicine ,030228 respiratory system ,Time in bed ,Sleep Initiation and Maintenance Disorders ,Internal medicine ,mental disorders ,Insomnia ,medicine ,Humans ,In patient ,Self Report ,Sleep onset latency ,medicine.symptom ,Sleep onset ,Sleep ,business ,030217 neurology & neurosurgery - Abstract
We aimed to investigate the effects of placebo on the first-night effect (FNE) in insomniacs.In sum, 36 patients with insomnia disorder who met the DSM-5 criteria were enrolled in this study. Sixteen patients with insomnia disorder were given two days of placebo intervention (placebo-administration group, PL). Twenty patients with insomnia disorder (drug-free group, DF) were not given any interventions. All participants underwent two consecutive nights of polysomnographic (PSG) testing in the sleep laboratory. Sleep diaries were recorded during one week at home before the PSG nights and on two subsequent nights.The results demonstrated that compared with the DF group, sleep onset latency (SOL), time in bed (TIB) and wake after sleep onset (WASO) significantly increased and sleep efficiency (SE) significantly decreased in the first sleep lab night in the PL group (all p 0.05). Moreover, compared with the second night, significant differences were observed in lower self-reported total sleep time (TST) and more subjective WASO during the first night in the PL group (all p 0.05). However, no significant difference was found in the duration and percentage of N1, N2, N3 and REM between the two groups.In patients with insomnia disorder, placebo administration may increase the occurrence of worse sleep without causing a change in the duration and percentage of N1, N2, N3 and REM on the first sleep lab night. In some cases, a placebo may not serve as treatment but may result in a nocebo effect.
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- 2020
29. Effects of 1-MeV Electron Irradiation on the Photoluminescence of GaInNAs|GaAs Single Quantum Well Structure
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J.H. Mo, Z. Yu, L. Qiqi, Guo Jie, M. Sailai, M. Heini, Xiaoxia Zhao, Guo Qi, Ruiting Hao, and Abuduwayiti Aierken
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Photoluminescence ,Materials science ,business.industry ,Pl spectra ,Electron ,Nitride ,Condensed Matter Physics ,Fluence ,Atomic and Molecular Physics, and Optics ,Electronic, Optical and Magnetic Materials ,Lattice (order) ,Electron beam processing ,Optoelectronics ,business ,Quantum well - Abstract
Minimizing the impact of radiation-induced degradation in dilute nitride based optoelectronic devices is crucial in its applications. The effects of 1-MeV electron irradiation (of 1 × 1014–1 × 1016 e/cm2 range) on undoped GaInNAs|GaAs single quantum-well (QW) structure has been studied by low-temperature photoluminescence (PL). PL spectra of GaInNAs|GaAs QW are measured before and after electron irradiation. The results show a slight enhancement of the PL intensity in relatively low electron fluence, and then subsequent deterioration of PL with the increase of cumulative electron fluences. The enhancement in PL intensity at low electron doses is explained by recombination-enhanced defect reaction model, and the degradation at high electron doses is explained by irradiation-induced defects in the lattice.
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- 2020
30. A Multiple-Regression Model Considering Deformation Information for Atmospheric Phase Screen Compensation in Ground-Based SAR
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Chaodong Zhou, Xiaoxia Zhao, Langping Li, Yi-xing Zhang, and Hengxing Lan
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Synthetic aperture radar ,Line-of-sight ,Similarity (geometry) ,0211 other engineering and technologies ,02 engineering and technology ,Atmospheric model ,Deformation (meteorology) ,Temperature measurement ,Displacement (vector) ,Interferometry ,General Earth and Planetary Sciences ,Electrical and Electronic Engineering ,Geology ,021101 geological & geomatics engineering ,Remote sensing - Abstract
The accuracy of ground-based synthetic aperture radar (GB-SAR) interferometry is highly affected by the atmospheric phase screen (APS). A multiple-regression model (MRM) for APS estimation with two parameters (line of sight (LOS) distance and the height difference between the targets and the GB-SAR sensor) was proposed. However, this MRM is inapplicable if the LOS deformation of the observed objects has similar behavior to that of the APS. For example, both the APS and the LOS deformation of observed objects can have an increasing trend along the LOS direction. In this article, an improved MRM (IMRM) that considers the spatial pattern of the LOS deformation of observed objects was proposed. The spatial pattern can be expressed by the location information of the observed objects. The applicability of this improved model was demonstrated in a deformation-measured campaign carried out on a high loess cut slope using 285 images obtained by the GB-SAR sensor during a three-day measurement. The similarity and dissimilarity between the APS and the behavior of the LOS deformation of the slope were illustrated and used to estimate the APS. The accuracy of this IMRM was verified using deformation data measured by a displacement meter. This IMRM will be helpful in APS estimation and compensation in GB-SAR interferometry in case studies where the APS and the LOS deformation of observed objects have similar behavior.
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- 2020
31. Adverse Childhood Experiences Are Associated With Adult Dream Content: A Cross-Sectional Survey
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Yundong Ma, Xia Feng, Di Wang, Xiaoxia Zhao, Zejun Yan, Yanping Bao, Ran Zhu, Qiqing Sun, Jiahui Deng, Lin Lu, and Hongqiang Sun
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humanities ,psychological phenomena and processes ,General Psychology - Abstract
BackgroundDreams can be affected by recent life events and long-term life experiences. Previous evidence has shown that childhood adverse experiences are associated with sleep quality and dream experiences.ObjectiveThe aim of this study was to explore the relationship between childhood adverse experiences and dream content in adults.Participants and SettingA total of 163 participants without current or past physical or mental disorders aged between 18 and 35 were screened in the hospital. Among them, 120 subjects who completed a dream content record at home and whose anxiety and depression levels and sleep quality were within the normal range were included in the data analysis.MethodsA cross-sectional survey was conducted from June 2017 to December 2019. Dream content for 10 consecutive days was recorded by the participants and coded by the Hall and Van de Castle coding system. Childhood adversity was assessed by the Childhood Trauma Questionnaire (CTQ). In the end, 719 dreams out of 626 nights for 120 participants (44 female) were included in the data analysis, gender differences between groups were analyzed usingt-tests orUtests, and Spearman’s partial correlation and multiple linear regression were used to investigate the relationship between childhood trauma and dream content.ResultsChildhood adversity was associated with characters, friendly interactions, and objects in dream content. Regression models of childhood adversity predicting characters and objects in dream content were constructed. There were no gender differences in general demographic data, sleep quality, emotional state, childhood adversity, dream recall frequency, or dream content.ConclusionChildhood adversity is associated with adult dream content.
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- 2021
32. Fast template matching in multi-modal image under pixel distribution mapping
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Lichun Mei, Caiyun Wang, Huaiye Wang, Yuanfu Zhao, Jun Zhang, and Xiaoxia Zhao
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Condensed Matter Physics ,Atomic and Molecular Physics, and Optics ,Electronic, Optical and Magnetic Materials - Published
- 2022
33. Efficacy of Dialectical Comprehensive Treatment of Traditional Chinese Medicine in Patients with Chronic Stable Heart Failure: A Randomized Controlled Trial
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Lixiang, Yang, Yuanyuan, Chen, Fei, Lou, Xiaoxia, Zhao, and Jia, Zhou
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The treatment of chronic stable heart failure (CSHF) with integrated traditional Chinese and Western medicine has been of wide concern. We mainly discuss the clinical efficacy of TCM decoction combined with acupuncture and moxibustion (AM) in CSHF treatment on the basis of syndrome differentiation and treatment (SDT). The control group was given conventional cardiac rehabilitation (CCR), and the treatment group was given TCM decoction combined with AM treatment based on SDT on the basis of conventional cardiac rehabilitation. The clinical efficacy and cardiopulmonary exercise testing (CPET) indicators were evaluated. Left ventricular ejection fraction (LVEF), NT-proBNP, myocardial ischemia threshold (MIT), and 6-minute walking distance (6MWD) were measured by ultrasound, ELISA, electrocardiogram, and 6MWD test. After treatment, the clinical efficacy, LVEF, and 6MWD of the treatment group were better than in the control group. The NT-proBNP plasma level and MIT in the treatment group were lower than in the control group. The treatment group had enhanced AT, VO
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- 2021
34. Realization of Course Scheduling System Based on Improved Genetic Algorithm
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Ziqi Guo, Runyu Tian, Yanbin Feng, Han Si, and Xiaoxia Zhao
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Reduction (complexity) ,Roulette ,Mathematical optimization ,Fitness function ,Chromosome (genetic algorithm) ,Computer science ,media_common.quotation_subject ,Genetic algorithm ,Scheduling (production processes) ,Combinatorial optimization ,Function (engineering) ,media_common - Abstract
Course scheduling is closely related to the allocation of teaching resources in colleges and universities, which is an important problem in teaching tasks. It belongs to the NP-complete problem of typical combinatorial optimization, which needs to consider many constraints. Based on the learning of various algorithms and usage feedback of existing scheduling systems, this paper adopts a genetic algorithm which can flexibly consider constraints and has a huge optimization space to construct a course scheduling system. In the system, we design a special fitness function and use the value of this function to measure the degree that the scheduling result of a certain course satisfies the constraint. At the same time, the design of fitness function facilitates the addition of more constraints. In addition, we add a roulette algorithm with skip and filter functions to make the matching of Course-Teacher-Class and locations more reasonable. In conclusion, through the improved genetic algorithm, the system has accomplished many works, such as the convenient addition of constraints, the reduction of data space complexity and the optimization of chromosome genetic strategy. As a result, we realize a widely used course scheduling system, which is conducive to the efficient development of teaching work.
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- 2021
35. Application of an improved multi-temporal InSAR method and forward geophysical model to document subsidence and rebound of the Chinese Loess Plateau following land reclamation in the Yan'an New District
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Chaodong Zhou, Hengxing Lan, Roland Bürgmann, Timothy A. Warner, John J. Clague, Langping Li, Yuming Wu, Xiaoxia Zhao, Yixing Zhang, and Jiaming Yao
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Soil Science ,Geology ,Computers in Earth Sciences - Published
- 2022
36. UHF RFID Based Warehouse Portal In-out Registration Method
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Lingyun Li, Yang Zhao, Xiaoxia Zhao, and Xianhui Liu
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Computer science ,05 social sciences ,Real-time computing ,Location awareness ,050801 communication & media studies ,computer.software_genre ,Warehouse ,0508 media and communications ,Warehouse management system ,Signal strength ,Ultra high frequency ,0502 economics and business ,Still face ,050211 marketing ,Radio frequency ,Productivity ,computer - Abstract
Intelligent warehouse management system (IWMS) attracts lots of interest by increasing the productivity and efficiency, minimizing the number of human workers and decreasing errors. As an important part of IWMS, warehouse portal in-out registration still face with enormous challenge. Usually, multiple UHF RFID reader antennas are installed on the portal, in-out registration can be performed by estimating the locations of RFID tags which are attached on the goods. Even though the precise localization accuracy is not required, it's still hard to distinguish the import and export directions. In this paper, we analyzed the fluctuation of received signal strength indicator (RSSI) backscattered from the RFID tags and proposed a movement direction judging method based on double-tag with an exact spacing distance. Experimental results have shown that the double-tag method can distinguish the moving direction exactly in portal environments and realize efficient in-out registration.
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- 2021
37. RF signal fluctuation based passive UHF RFID tag localization
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Lingyun Li, Xianhui Liu, Xiaoxia Zhao, and Yang Zhao
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Ultra high frequency ,Interference (communication) ,Noise (signal processing) ,Computer science ,Location awareness ,Radio frequency ,computer.software_genre ,Signal ,Algorithm ,computer ,Multipath propagation ,k-nearest neighbors algorithm - Abstract
RF signals are vulnerable to multipath, noise and interference. Most localization algorithms are trying to create a similarity based relationship between RF signal measurements and propagation distance or tag location. So it's a huge challenge to realize precise localization for real applications. In this paper, we propose a novel passive UHF RFID tag localization algorithm based on RF signal fluctuation, FBL algorithm. Not considering similarity, we use signal fluctuation as the neighboring criteria. According to our experimental results, with a metal shelf covered with multiple fixed tags, FBL algorithm can estimate 15 grid-level locations with an average error of about 32 cm. As the grid spacing distance was about 35 cm and the accuracy of traditional k nearest neighbor (KNN) algorithm was about 72 cm, the results showed that FBL algorithm significantly reduced the location estimation error.
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- 2021
38. Research on Indentation Rolling Resistance Based on Viscoelasticity of Cover Rubber under a Conveyor Belt
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Xiaoxia Zhao, Lidong Zhou, and Wenjun Meng
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Normal force ,Materials science ,Article Subject ,lcsh:Mathematics ,General Mathematics ,Rolling resistance ,General Engineering ,Conveyor belt ,02 engineering and technology ,Mechanics ,lcsh:QA1-939 ,021001 nanoscience & nanotechnology ,Viscoelasticity ,020303 mechanical engineering & transports ,0203 mechanical engineering ,Natural rubber ,lcsh:TA1-2040 ,Dynamic loading ,Indentation ,visual_art ,visual_art.visual_art_medium ,lcsh:Engineering (General). Civil engineering (General) ,0210 nano-technology ,Elastic modulus - Abstract
Minimizing the power consumption of the belt conveyor is the common wish of all enterprises and even countries. Among all the resistances generated by the belt conveyor during the operation, the indentation rolling resistance accounts for the largest proportion and the power consumed is the largest. Therefore, accurately predicting and reducing the rolling resistance of indentation is the focus of current research. Firstly, based on the three-element Maxwell solid model, the dynamic loading experiments of cylindrical rubber made of conveyor belt cover material were carried out at different temperatures. The identification models of elastic moduli E2 and E3 and viscosity coefficient η2 in the three-element Maxwell model were obtained, and then the fitting functions of the three parameters were gotten, which can intuitively reflect the influence of temperature. Secondly, the mathematical model of the indentation rolling resistance was derived. The mathematical model is characterized by the direct parameters such as belt speed v, thickness of backing material h, the idler radius R, and the rubber viscoelastic parameters E2, E3, and η2 and the indirect parameters such as normal force P and temperature T. Afterwards, the effects of belt speed, normal force, temperature, idler radius, and thickness of underlay on the indentation rolling resistance were studied under different working conditions. After that, experimental testing and analysis were fulfilled using test equipment and compared with theoretical analysis results. The results prove that the theoretical results are basically consistent with the experimental results, in line with the actual engineering rules. Finally, the application of the results in practical engineering was analyzed superficially.
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- 2019
39. Selection and Teaching of Synthetic Experiments with Air-Sensitive Substances in Comprehensive Chemical Experiment
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Hecong Cheng, Gang Xie, Yinjuan Bai, Xiaoxia Zhao, and Jingjing Liu
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Computer science ,Biochemical engineering ,Selection (genetic algorithm) - Published
- 2019
40. Anisotropy rather than transverse isotropy in Longmaxi shale and the potential role of tectonic stress
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Xiaoxia Zhao, Hengxing Lan, Renato Macciotta, Junhui Chen, Quanwen Li, and Yuming Wu
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Bedding ,Isotropy ,0211 other engineering and technologies ,Geology ,02 engineering and technology ,010502 geochemistry & geophysics ,Geotechnical Engineering and Engineering Geology ,01 natural sciences ,Tectonics ,Shear (geology) ,Transverse isotropy ,Anisotropy ,Petrology ,Rock mass classification ,Oil shale ,021101 geological & geomatics engineering ,0105 earth and related environmental sciences - Abstract
In the last few decades, the recovery of and exploration for shale gas has increased. This has led to increased interest in the mechanical characterization of shale formations as relates to enhancing the conductivity of such formations. Characterization and modeling of these materials typically assumes transverse isotropy associated with the direction of bedding, despite some studies showing anisotropy in these materials. In this work, we evaluate the validity of transverse isotropy for the Longmaxi Shale Formation, which has been targeted for shale gas exploration in China. This evaluation is done through analysis of the macro- and microstructure distribution, confined triaxial tests, and compression and shear wave velocity measurements. These tests were performed parallel and perpendicular to the bedding and in the directions interpreted as the tectonic principal stresses. The effect of tectonic stress on shale anisotropy is also discussed. We found that the assumption of transverse isotropy for the mechanical behavior of the Longmaxi Shale might not be adequate under low confinement stresses. The trends in the measured behavior suggest that transverse isotropy might provide adequate estimations as confinement increases. The data also suggest that tectonic stresses affected the Longmaxi Shale rock mass characteristics at the study site in terms of macro- and microstructure, as well as mechanical properties. The results also indicate that isotropic rocks may show anisotropy in subsurface engineering. Directing more attention to the possible mechanical differences in the field may provide implications for engineering safety.
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- 2018
41. Vibration energy harvesting from roads under traffic loads
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Guangya Ding, Changjie Xu, Jun Wang, and Xiaoxia Zhao
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050210 logistics & transportation ,Materials science ,business.industry ,05 social sciences ,0211 other engineering and technologies ,Vibration energy harvesting ,02 engineering and technology ,Structural engineering ,Piezoelectricity ,Vibration ,021105 building & construction ,0502 economics and business ,Traffic load ,business ,Energy harvesting ,Civil and Structural Engineering - Abstract
In this study, piezoelectric energy harvesting using depressions in roads generated by traffic loads was investigated theoretically and experimentally. The elastic double-layer plate model was used...
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- 2018
42. Size Prediction of Radar Target Based on Monostatic Radar Cross Section
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Xiaoxia Zhao, Caiyun Wang, Yuanfu Zhao, Lichun Mei, Wang Huaiye, and Zhang Jun
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Cross section (physics) ,Bistatic radar ,Artificial neural network ,law ,Computer science ,Acoustics ,Cylinder ,Radius ,Radar ,law.invention - Abstract
Target size is an important indicator for reconstructing the contour of the radar target. Early accurate prediction of target size is beneficial for subsequent target evaluation. In our paper, we propose a method to predict the target size for radar target using machine learning based on its monostatic Radar Cross Section (RCS). Our prediction scheme comprises a deep neural network (DNN) model with a multi-hidden layer. The experimental results show that the proposed approach achieves 100% prediction accuracies for the height and radius values of the cylinder target.
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- 2021
43. Detection method of tubular target leakage based on deep learning
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Guo Huimin, Dong Wang, Donghao Luo, Meiling Gong, Lin Ye, and Xiaoxia Zhao
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Data set ,Transformation (function) ,Computer science ,business.industry ,Data transformation (statistics) ,Pattern recognition ,Artificial intelligence ,False alarm ,Dither ,Interference (wave propagation) ,business ,Network model ,Leakage (electronics) - Abstract
Aiming at the problem that the previous tubular target leak detection method is not sensitive to small leakage and slow leakage and false alarm caused by external interference is not strong, tubular target leakage detection method based on deep learning is proposed. Firstly, the target detection network YOLO3 model is used to detect the tubular target in optical images. By analyzing the test results, the YOLO3 based tubular target leakage detection network is optimized and improved from three aspects: data set expansion, detection mode and network structure. Including: 1) using data transformation using rotation transformation, color dithering, zoom transformation, shift transformation and flip transformation on the data set; 2) according to the characteristics of the tubular target images, the detection method of polygon frame selection is used; 3) simplifying the network structure of the detection and output part. Finally, the improved network is trained and verified. The experimental results show that compared with the YOLO3 network model, the recognition accuracy and recall rate of the tubular target and the leaked area are greatly improved, and the average detection time is also reduced.
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- 2021
44. A review of non-maximum suppression algorithms for deep learning target detection
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Guo Huimin, Dong Wang, Meiling Gong, Xiaoxia Zhao, Donghao Luo, and Song Min
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Speedup ,Bounding overwatch ,business.industry ,Computer science ,Deep learning ,Boundary (topology) ,Artificial intelligence ,Non maximum suppression ,business ,Algorithm ,Field (computer science) - Abstract
Deep learning methods have been more and more widely applied in the field of target detection. As an important part of deep learning target detection, non-maximum suppression is used to eliminate redundant detection bounding boxes generated during target detection and find out the optimal target boundary boxes, so as to speed up detection efficiency and improve detection accuracy. This article first introduces the related concepts and computational principles of traditional non-maximum suppression algorithm, and points out its problems. Based on this, the Soft-NMS, Softer-NMS, IOU-Guided NMS, Adaptive NMS and DIOU-NMS, a total of 5 kinds of improved maximum suppression algorithm principle is introduced and comparative analysis. And then we summarize the advantages and disadvantages of various algorithms. Finally, in view of the common problems existing in each algorithm, this paper points out the direction for improvement of non- maximum suppression algorithm, and provides technical reference and support for researchers in related fields.
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- 2021
45. Carbonate biomineralization differentially induced by two psychrophilic
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Na, Song, Qiongfang, Li, Yi, Zhou, Geng, Sun, Ling, Pan, Xiaoxia, Zhao, Pengju, Dong, Yulian, Zhao, Lijun, Yang, and Yunbi, Huang
- Abstract
Besides geography and climate, biological factors play an important role in shaping travertine landforms, but the biochemical mechanisms of microbial processes in travertine formation have been rarely studied. Two psychrophilic bacterial strains, A20-18 and B21-3 of
- Published
- 2021
46. Mortality from gastrointestinal congenital anomalies at 264 hospitals in 74 low-income, middle-income, and high-income countries: a multicentre, international, prospective cohort study
- Author
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Naomi Jane Wright, Andrew J.M. Leather, Niyi Ade-Ajayi, Nick Sevdalis, Justine Davies, Dan Poenaru, Emmanuel Ameh, Adesoji Ademuyiwa, Kokila Lakhoo, Emily Rose Smith, Abdel Douiri, Maria Elstad, Marcus Sim, Cristiana Riboni, Bruno Martinez-Leo, Melika Akhbari, Stephen Tabiri, Ashrarur Mitul, Dayang Anita Abdul Aziz, Camila Fachin, Alliance Niyukuri, Muhammad Arshad, Fowzia Ibrahim, Natalie Moitt, Mohamed Fahmy Doheim, Hannah Thompson, Harmony Ubhi, Isabelle Williams, Sophia Hashim, Godfrey Sama Philipo, Laura Herrera, Aayenah Yunus, Dominique Vervoort, Samuel Parker, Yousra-Imane Benaskeur, Osaid H. Alser, Nana Adofo-Ansong, Ahmad Alhamid, Hosni khairy Salem, Mahmoud Saleh, Safa Abdal Elrais, Sadi Abukhalaf, Patricia Shinondo, Ibrahim Nour, Emrah Aydin, Agota Vaitkiene, Kelly Naranjo, Andile Maqhawe Dube, Sodumisa Ngwenya, Mina A. Yacoub, Henang Kwasau, Gabriella Hyman, Shrouk Mahmoud Elghazaly, Ibrahim Al-Slaibi, Intisar Hisham, Helena Franco, Hana Arbab, Lubna Samad, Aqil Soomro, Muhammad Amjad Chaudhry, Safina Karim, Muhammad Adnan Khan Khattak, Shireen Anne Nah, Doris Mae Dimatatac, Candy SC Choo, Niveshni Maistry, Ashrarur Rahman Mitul, Samiul Hasan, Sabbir Karim, Hina Yousuf, Taimur Qureshi, Ibrahim Rabi Nour, Raed Nael Al-Taher, Osama Abdul Kareem Sarhan, Luis Garcia-Aparicio, Jordi Prat, Eva Blazquez-Gomez, Xavier Tarrado, Martí Iriondo, Paolo Bragagnini, Segundo Rite, Lars Hagander, Emma Svensson, Sheila Owusu, Alhassan Abdul-Mumin, Dominic Bagbio, Vijay Anand Ismavel, Ann Miriam, Shajin T, Marlene Anaya Dominguez, Monica Ivanov, Andreea Madalina Serban, Miliard Derbew, Mahmoud Elfiky, Maricarmen Olivos Perez, Marcia Abrunhosa Matias, Alexis P Arnaud, Ahmed Negida, Sebastian King, Mohamad Rafi Fazli, Nadia Hamidi, Souhem Touabti, Rossana Francisco Chipalavela, Pablo Lobos, Brendan Jones, Damir Ljuhar, Georg Singer, Annelien Cordonnier, Lorena Jáuregui, Zlatan Zvizdic, Janice Wong, Etienne St-Louis, Qiang Shu, Yang Lui, Catalina Correa, Lucie Pos, Elvyn Alcántara, Erick Féliz, Luis Enrique Zea-Salazar, Liza Ali, Matthieu Peycelon, Nzanzu Kipata Anatole, Cherno S. Jallow, Judith Lindert, Dhruv Ghosh, Cathline Freya Adhiwidjaja, Ahmad Khaleghnejad Tabari, Saran Lotfollahzadeh, Haidar Mohammad Mussein, Fabrizio Vatta, Noemi Pasqua, David Kihiko, Hetal Gohil, Ibrahim R. Nour, Muhammed Elhadi, Suad Ahmed Almada, Gilvydas Verkauskas, Toni Risteski, Alejandro Peñarrieta Daher, Oumaima Outani, James Hamill, Taiwo Lawal, Jack Mulu, Benjamin Yapo, Lily Saldaña, Beda Espineda, Krystian Toczewski, Eugene Tuyishime, Isaac Ndayishimiye, Enaam Raboe, Philip Hammond, Gregor Walker, Ivona Djordjevic, Milind Chitnis, Joonhyuk Son, Sanghoon Lee, Muaad Hussien, Sawazen Malik, Enas Musa Ismail, Ampaipan Boonthai, Nesrine Ben Hadj Dahman, Nigel Hall, Fabiola Ruth Castedo Camacho, Helena Sobrero, Marilyn Butler, Aliev Makhmud, Nathan Novotny, Ahmad G. Hammouri, Maisara Al-Rayyes, Bruce Bvulani, Qais Muraveji, Muhammad Yousuf Murzaie, Ajmal Sherzad, Sayed Aman Haidari, Abdul Baqi Monawar, Dr. Ahmad Zia Samadi, Jesh Thiessen, Ntakarutimana Venant, Sonia Inamuco Hospital, Niyonkuru Jérémie, Jean Claude Mbonicura, Butoyi Jean Marie Vianney, Amezene Tadesse, Samuel Negash, Charles A. Roberts, John N. Jabang, Abdoulie Bah, Kajali Camamra, Armandou Correa, Babucarr Sowe, A. Gai, Musa Jaiteh, Kwizera Jean Raymond, Jean Paul Mvukiyehe, Innocent Itangishaka, Emmanuel Kayibanda, Emery Manirambona, Joseph Lule, Ainhoa Costas-Chavarri, Ian Shyaka Gashugi, Albert Ndata, Georges Gasana, Yves Castar Nezerwa, Turatsinze Simeon, Jean De Dieu Muragijimana, Sakina Rashid, David Msuya, Joseph Elisante, Meghna Solanki, Emmanuel Manjira, Jay Lodhia, Mubashir Jusabani, Murad Tarmohamed, Sengua Koipapi, Touabti Souhem, Nabti Sara, Brahimi Sihem, Bouguermouh Dania, Iaiche Achour Toufik, Baghdadi Nour el islam Mounira, Alouani Habiba, Liliana Aragão, Victor Gonçalves, Marcelo Mauricio Lino Urquizo, Maria Florencia Varela, Pedro Mercado, Bonavia Horacio, Andrea Damiani, Carlos Mac, Daniel Putruele, Karen Liljesthrom, Marianela Bernaus, Cesar Jauri, Alejandrina Cripovich, Ezequiel Bianchin, Maria Gabriela Puig, Lorna Andreussi, Susana Iracelay, Dolores Marcos, Carina Herrera, Nelly Palacios, Romina Avile, Belen Serezo, Debora Montoya, Rodrigo Cepeda, Justo Vaquila, Sofficci Veronica, Liliana Pardo, Pelussi Valeria, Lapalma Julio, Aranda Diego Martin, Palazzi Lucio, Comba Gabriel, Depetrini Marianella, José Alfredo Calderón Arancibia, Enrique Huespe, Gabriela Natalia Losa, Elsa Arancibia Gutiérrez, Humberto Scherl, Daniel Emilio Gonzalez, Valentina Baistrocchi, Yanina Silva, Marcelo Galdeano, Pablo Medard, Ines Sueiras, Enrique Romero Manteola, Victor Hugo Defago, Carlos Mieres, Carlos Alberto, Fabio Cornelli, Marcelo Molina, Pablo Ravetta, Celeste Carolina Patiño Gonzalez, Maria Belen Dallegre, Maria Tatiana Szklarz, Marcos Federico Leyba, Nahuel Ignacio Rivarola, Maria Delia Charras, Adriana Morales, Paloma Caseb, Luzia Toselli, Carolina Millán, Maria del Carmen Junes, Oscar Di Siervi, Jose Gilardi, Soledad Simon, Carla Sofia Contreras, Nair Rojas, Lucia Beatriz Arnoletto, Otilia Eva Blain, Mauro Nicolas Bravo, Nancy Sanchez, Luciana Martina Herrera Pesara, Maria Eugenia Moreno, Carlos Ariel Sferco, Umama Huq, Tamanna Ferdousi, Abdullah Al-Mamun, Sadia Sultana, Refoyez Mahmud, Khalid Mahmud, Fatema Sayeed, Alexander Svirsky, Denisse Sempertegui, Amalia Negrete, Araceli Teran, Mariana Sadagurschi, Nusret Popovic, Kenan Karavdic, Emir Milisic, Asmir Jonuzi, Amira Mesic, Sabina Terzic, Nejra Dendusic, Elna Biber, Anesa Sehic, Nada Zvizdic, Emina Letic, Adna Saracevic, Ajla Hamidovic, Nejra Selak, Dzan Horozic, Lamija Hukic, Amila Muhic, Nedim Vanis, Emir Sokolovic, Adnan Sabic, Karin Becker, Elis Novochadlo Klüppel, André Iván Bradley dos Santos Dias, Miguel Angelo Agulham, Cristiano Bischoff, Stella Sabbatini, Rachel Fernandes de Souza, Ana Beatriz Souza Machado, Juliana Werneck Raposo, Maria Lucia da Silva Augusto, Bianca M.R. Martins, Mariana de Souza Santos Ferreira, Darli Fernandes de Oliveira, Carla Silva dos Santos, Fernanda Ribeiro de Fernández y Alcázar, Érika Alves Dutra da Silva, Mariana Furtado, Horácio Tamada, Marília Silva Ferreira dos Santos, Thayná Lopes de Almeida, Susy Oliveira de Andrade, Antonio Cipriano Gurgel do Amaral, Lais Sartori Giovanoni, Kamila de Deus Passos Leles, Eduardo Corrêa Costa, Leticia Feldens, Luciano Ferraz Schopf, José Carlos Soares de Fraga, Felipe Colombo de Holanda, Paola Maria Brolin Santis Isolan, Julia Loyola Ferreira, Carla Luisa Bruxel, Danielle Lopes Teixeira Ferdinando, Fabricio Zottis Barcelos, Natalia Baseggio, Nicole Knorr Brenner, Rafael Trindade Deyl, Carolina Dure, Iuri Nunes Kist, Rafael Bueno Mazzuca, Sarah Bueno Motter, Yna Ramos, Cristine Suzana Trein, Bianca Rezende Rosa, Murilo de Assis Silva, Flavio Augusto Menin, Isabela Cristina Semensato Carloni, Juliana Antinarelli Norberto da Silva, Adriano Luis Gomes, Mariana Girão Tauffer, Paulo César Bassan Gonçalves, Geraldo Magela Nogueira Marques, Eliane Moriya, Carla Labonia, Ana Lucia Carrasco, Karine Furtado Meyer, Luiz Farion-Aguiar, Fernando Amado, Amanda Antunes, Elisângela Silva, Leila Telles, Giovana Almeida, Aluísio Augusto Belmino Gadelha, Flavia de Azevedo Belesa, Acimar Gonçalves da Cunha, Jr, Beatriz Souza Barros, Josiane Bernartt Zanellato, Patricia Guimarães, Karina Ilheu da Silva, Bianca Ribas, Cristina Reuter, Francis Tanise Casado, Mila Torii Correa Leite, Daniela Testoni, Ruth Guinsburg, Simone de Campos Vieira Abib, Edson Khodor Cury, Suely Dornellas do Nascimento, Arthur Almeida Aguiar, Rodrigo Melo Gallindo, Carolina Gonçalves Borges, Yang Liu, Cai Duote, Jinhu Wang, Zhigang Gao, Liang Liang, Wenjuan Luo, Xiaoxia Zhao, Rui Chen, Peng Wang, Yijiang Han, Ting Huang, Hu Donglai, Guo Xiaodong, Chen Junjie, Libin Zhu, Guowei Wu, Xiaozhou Bao, Haijing Li, Junying Lv, Zhongrong Li, Feng Yong, Zhou Chong Gao, Qiang Bai, Weibing Tang, Hua Xie, Jethishka Motee, Jianming Zhu, Gang Wen, Weiwei Ruan, Shungen Li, Lulu Chen, Shungen Huang, Zhibao Lv, Jinjing Lu, Liuming Huang, Mengnan Yu, Wang Dajia, Yu Zuo Bai, Luis Carlos Rincon, Juliana Mancera, Edgar Alzate Gallego, Laura Torres-Canchala, Nathalia Silva Beltrán, Ghordana Osorio Fory, Daniela Castaño Avila, Angelica Maria Forero Ladino, Juanita Gomez, Martha Jaramillo, Otto Morales, Beatriz Sanchez, Nestor Julien Tinoco Guzmán, Sergio Castañeda Espinosa, Osbaldo Prieto Vargas, Lina Maria Pardo, Eliana Toral, Freud Cáceres Aucatoma, Daniel Hinostroza, Santiago Valencia, Vicente Salinas, Enrique Landivar Cino, Gabriela Yulissa Ponce Fajardo, Miguel Astudillo, Virginia Garcia, Guillermo Muñoz, Leonardo Verduga, Ivan Verduga, Ericka Murillo, Elena Bucaram, Marisol Guayelema, Monica Marmol, Janina Sanchez, Carolina Vergara, Adriana Mena, Junior Velaña, Karla Salazar, Sandra Lara, Elena Chiriboga, Julian Silva, Dalia Gad, Doaa Samy, Menan Ahmed Elsadek, Hanan Mahmoud Mohammed, Mohamed Abouheba, Karim Osamy Ali, Hayssam Rashwan, Omar Moustafa Fawzy, Tarek mohamed Kamel, Rawan Nemer, Mohamed Abada Hassan, Eyad Hassan Falah, Dina Sobhy Abdelhady, Mostafa Zain, Eman Abouzeid Abouzeid Ibrahim, Omar Ossama Elsiraffy, Ahmed Aboelela, Eman mohamed Farag, Ahmed Mohamed Oshiba, Omar Sameh Emam, Alaa Mobarak Attia, Moustafa A. Laymouna, Islam Abdelmonem Ghorab, Mansour Mkayed Mohammed, Nourhan Akram Soliman, Khaled Abd elrahman Ghaly, Kareem Sadek, Mohamed Elsherbiny, Amr Saleh, Hesham Sheir, Tamer Wafa, Mohamed Abd Elmenam, Sherif Abdelmaksoud, Ahmed Reda, Islam Mansour, Mohamed Elzohiri, Basma Waseem, Mohamed Elewaily, Mohammed El-Ghazaly, Ahmad Elhattab, Amr Shalaby, Adham Elsaied, Ahmad Adawy, Mirna Sadek, Mahmoud Abdelfattah Ahmed, Mohamed Omar Herdan, Gena Mohamed Hamed Elassall, Azhar Arabi Mohammed, Mohammed Hamada Takrouney, Tarek Mohamed Essa, Ahmed Mokhtar Mahmoud, Alshaimaa M. Saad, Mariam Albatoul Nageh Fouly, Mahmoud abdelshakour Ibrahim, Mohammad Nageh, Mahmoud M. Saad, Helmy Badr, Mohamed Fayez Fouda, Ahmed Hassan Nofal, Hisham Almohamady, Mohamed Ahmed Arafa, Mohamed Amad, Mohamed Awad Mansour, Jennifer O'Connor, Zachary O'Connor, Nzanzu Anatole, Elysé Nkunzimana, Solomon Machemedze, Lemfuka Dieudonné, William Appeadu-Mensah, Theophilus Teddy Kojo Anyomih, Priscilla Alhassan, Francis A. Abantanga, Vishal Michael, Roshine Mary Koshy, Ankit Raj, Vijay Kumar, Sundeep PT, P Santosh Prabhu, Armin Vosoughi, Ali Farooq Al-Mayoof, Muhamed Jassim Fadhle, Ali Egab Joda, Hayder Nadhim Obaid Algabri, Sultan S. Abdelhamid, Hashem M. Al-Momani, Marzouq Amarin, Louay Y. Zaghlol, Nijmeh Nasser Alsaadi, Yasmeen Z. Qwaider, Hibah Qutishat, Ahmad Hasan Aliwisat, Esraa Arabiat, Isam Bsisu, Raghad M. Murshidi, Mohammad S. Jabaiti, Ziad A. Bataineh, Husam Aldean Abuhayyeh, Thekraiat M. Al Quran, Faris J. Abu Za'nouneh, Mohanad Mutasem Alebbini, Hamzah Abullah Qudah, Omar Ghazi Hussein, Amir M.I. Murad, Justin Z. Amarin, Haya H. Suradi, Sayel H. Alzraikat, Rand Y. Omari, Bashar M. Matour, Layana Al-Halbouni, Rajai O. Zurikat, Ahmad H. Yanis, Sara Al Hussein, Ali Shoubaki, Waleed H. Ghanem, Kuria David, Soita Wycliffe Chitiavi, Moraa Mose, Robert Mugo, James Ndungu, Timothy Mwai, Swaleh Shahbal, Janan Malik, Nirav Chauhan, Francisa Syovata, Kevin Ochieng, Polycarp Omendo Liyenzero, Syeda Ra'ana Hussain, Stanley Mugambi, Roseline Ochieng, Ebtesam Othman Abdulsalam Elkhazmi, Ala Khaled, Aya Albozidi, Manal Ben Enbaya, Mala Elgammudi, Enas Soula, Wegden ibrahim almabrouk Khalel, Yasmine Ali Elhajjaji, Nouriyah Ali Alwaggaa, Sumayyah Ghayth, Dafer abdulhakim .S. Zreeg, Sara Abobaker Tantush, Fatma Bibas, Tesneem Layas, Randa Alamen M Sharif, Wesal Omar F. Saied Aljadidi, Ahmed Tarek, Hazem Ahmed, Kamila Almabrouk Mohammed Essamilghi, Mabroka Alfoghi, Ma'aly A. Abuhlega, Saddam Arrmali, Fatima Mousa Abduljawad, Hasan Mustafa Alosta, Abdulsalam Abuajaila, Fakereldeen Abdelmutalib, Fatma Bashir, Inas Almengar, Mohammad hasan Annajjar, Abdelaziz Deyab, Fathi Elzowawi, Yousef Krayem, Weam Drah, Asma Meftah, Abobaker Mohammed, Lina Ali Arrmalli, Hajir Aljaboo, Abdallah Elayeb, Mohamed Altomi, Ahmed Altaweel, Mohamed Tumi, Hana Milad Bazozi, Aisha Shaklawoon, Mohammed Meftah Alglaib, Abdullahn Abdousalam Elkaloush, Sara Trainba, Hisham Swessi, Ali Alnaeri, Aya Essam Shnishah, Hamassat Mustufa, Sondas Ali Gargum, Sara Ali Tarniba, Hawa Ahmed Shalluf, Hajer Ali Shokri, Taher L. Sarkaz, Osama Tababa, Ahmed Elhadi, Vesna Cvetanovska Naunova, Laze Jovcheski, Marjan Kamilovski, Aleksandra Gavrilovska-Brzanov, Zarina Abdul Latiff, Siti Farhan Moh Pauzi, Marjmin Osman, Felicia Lim, Ainal Huda Abu Bakar, Azrina SK Zaman, Shareena Ishak, Rufinah Teo, Dr. Tammy Teoh Han Qi, Mohd Yusran Bin Othman, Dato' Dr Zakaria bin Zahari, Zulfitri bin Md Hassan, Cheah Hui Shan, Abhirrami Lechmiannandan, Hafatin Fairos bt Tamaddun, Mohd Fitri Shukri bin Mohamed Adanan, Mohd Yusof bin Abdullah, Wang Junyi, Mohd. Tarmizi Mohd Nor, Wan Ruzaimie Noor, Mohd Razin bin Hassan, Noor Fa'izatul Rahil Ambok Dalek, Hidayah Hayati binti Hashim, Ahmad Zulhisyam bin Zarwawi, V Muthualhagi M Vellusamy, Quah Soong Yuen, Hemasutha a/p Kannessan, Najua binti Ramli, Ahmad Shafiee bin Bujarimin, Jessmine Anntinea, Anthony Dass, Hazlina Mohd. Khalid, Nur Atiqah binti Mohd Hanifah, Keily Wong Yue Jyun, Rahilah binti Abd Razak, Nur Atifah binti Mohd Naim, Siti Nur Aien binti Hamid Hamzah, Cristian R. Zalles Vidal, Eduardo Bracho Blanchet, Roberto Dávila Perez, Emilio Fernandez Portilla, Raúl Villegas Silva, Daniel Ibarra, Antonio Calderon Moore, Cesar Carrasco-Ortega, Monica Noguez Castillo, Dorihela Herappe Mellado, Guillermo Yanowsky Reyes, Luis Fernando Gonzalez Cortez, Rafael Santana Ortiz, Jamie Orozco Perez, Jorge Román Corona C.Rivera, Juan Jose Cardenas Ruiz Velasco, Moises Quiles Corona, Christian Peña Padilla, Lucina Bobadilla Morales, Alfredo Corona Rivera, Izabel Maryalexandra Rios Flores, Cristian Irela Aranda Sánchez, Gabriela Ambriz-González, Nestor Martínez Hernández Magro, Francisco Javier León Frutos, José de Jesús Cárdenas Barón, Alejandro González Ojeda, Jessica Yarza Fernández, Juan Domingo Porras, Pastor Aguirre-Lopez, Vicente Sánchez Paredes, Arturo Montalvo Marin, Jose Manuel Diaz Gomez, Lorenzo Juvencio Caamal, David Bulnes Mendizabal, Pablo Sanchez Valladares, Humberto Garcia Martinez, Opeoluwa Adesanya, Moses Olanrewaju, Rilwan Adegboyega, Nurudeen Abdulraheem, Anuoluwapo Aremo, Florence Dedeke, Anyanwu Lofty-John Chukwuemeka, Mohammad Aminu Mohammad, Abdullahi Lawalbarau, Nwokoro Collins, Ogundele Ibukunolu, Amo Shonubi, Oluwaseun Ladipo-Ajayi, Olumide Abiodun Elebute, Justina Seyi-Olajide, Felix Alakaloko, George Ihediwa, Kayode Olayade, Christopher Bode, Olakayode Ogundoyin, Dare I. Olulana, Ifeanyichukwu Kelvin Egbuchulem, Felix O. Kumolalo, Ikechukwu Ulasi, Uchechukwu Obiora Ezomike, Sebastian Okwuchukwu Ekenze, Elochukwu Perpetua Nwankwo, Emmanuel Ifeanyi Nwangwu, Isaac Chukwu, Christopher Chim Amah, Nene Elsie Obianyo, Omolara Williams, Roland Iheanyichukwu Osuoji, Omolara Moronkeji Faboya, Olalekan Temitope Ajai, Moruf Adekunle Abdulsalam, Titiloye Hannah Agboola, Bolarinwa Bolanle Temilade, Maryrose Osazuwa, Morayo Monsurat Salawu, Eze Chukwuemeka Ejinkeonye, Mariya Mukhtar Yola, Amsa B. Mairami, Adekunle T. Otuneye, Matthias Igoche, Adebayo Gbenga Tanimola, Emmanuel Akinlabi Ajao, Efeturi Agelebe, Samson Olori, Philip Mari Mshelbwala, Olabisi Osagie, Adewale Oyinloye, Auwal M Abubakar, Lateef Oyebanji, Ibrahim Shehu, Cyril Cletus, Ahmed Bamanga, Faruk Suleiman, Sani Adamu, David C.Nwosu, Yahya S.Alkali, Iliya Jalo, Aliu Rasaki, Yusuf T.Sambo, Kalakwa A.Mohammed, Abubakar M.Ballah, Victor Modekwe, Okechukwu Hyginus Ekwunife, Ugochukwu S Ezidiegwu, Andrew N Osuigwe, Jideofor O Ugwu, Chuka A Ugwunne, Nadeem Akhter, Mudassir Fayaz Gondal, Rafee Raza, Ali Raza Chaudary, Hassan Ali, Muhammad Umar Nisar, Muhammad Umer Jamal, Ghuri Shankar Pandit, Uzma Mumtaz, Muhammad Bin Amjad, Nabila Talat, Wajeeh ur Rehman, Muhammad Saleem, Muhammad Bilal Mirza, Imran Hashim, Naveed Haider, Soban Hameed, Ayesha Saleem, Sohail Dogar, Muhammad Sharif, Muhammad Kashif Bashir, Fatima Naumeri, Zarqa Rani, Muath A.M. Baniowda, Basheer Ba'baa', Majd Yousef Mohammed Hassan, Ammar Darwish, Abrar Shaheen Sehwiel, Mohammed Shehada, Abrar ghassan Balousha, Yara Ajrami, Ainaa Ata Mohammad Alzamari, Bashar Yaghi, Hasan Subhi Hasan Abu Al-saleem, Mervat Sufian Abu Farha, Mohammad Omar Mohammad Abdelhafez, Firas Anaya, Asef belal Qadomi, Abd Al-Naser Bany Odi, Muath Abdelrahem Fuad Assi, Fadwa Sharabati, Ahmad Abueideh, Doha mustafa saleh Beshtawi, Hasan Arafat, Lara Zahi Adel Khatatba, Safa' Jamal Abatli, Hiba Al-Tammam, Dania Jaber, Yara Imad Omar Kayed, Ali Abdelhay Abumunshar, Rami Anwar Misk, Asmahan Mohammad Suliman Alzeer, Mutassem Sharabati, Ihsan Ghazzawi, Osama Majed Darras, Mahmoud M.Qabaja, Ma'alem sameer Hajajreh, Yasmeen Ahmad Samarah, Dua Hasan Yaghi, Moradallah Asad Fahmi Qunaibi, Abdelrazzaq Abu Mayaleh, Sharehan Joubeh, Annan Ebeido, Samer Adawi, Ihda Adawi, Mohammad Omar Ibrahim Alqor, Ahmad Samih Arar, Hadeel Awad, Fawzi Abu-Nejmah, Osaid Shaher Shabana, Firas Alqarajeh, Tareq Z. Alzughayyar, Jomana Madieh, Mahmoud Fuad Sbaih, Raghad mohammad abdu Alkareem, Raghad abdullateef Lahlooh, Yasmeen Adly Halabi, Wisam Baker, Tasneem Fathi Hasan Almusleh, Abdulraheem Adnan Abdulraheem Tahyneh, Yazid yousef mahmoud Atatri, Najlaa Abu Jamie, Nasrallah Ashraf Al Massry, Walaa Lubbad, Ayoub A.Nemer, Mohammed Alser, Aya Azmi Shehda Salha, Khaled Alnahhal, Aya Mahmoud Elmzyyen, Amir Talat Sheda Ghabayen, Abdulwhhab Ayman Abu Alamrain, Samar H. Al-Shwaikh, Omar Adly Elshaer, Nureddin Shaheen, Jehad Fares, Hisham Dalloul, Anas Qawwash, Mustafa abu Jayyab, Dina Ayman Ashour, Ahmad Ashraf Shaheen, Samy Rafat Ramadan Naim, Eman Abu Shiha, Nagham Mohammed Al Dammagh, Walaa Almadhoun, Ashraf Ayman Al-Salhi, Abdalkarim Yhya Hammato, Jamal Mohammed Salim, Doaa Khalil Hasanain, Soha Marwan Salem Alwadia, Ismail Nassar, Hala M. Al-Attar, Haya Abdulnasser Ali Alshaikhkhalil, Yasmin Mohammed Khalil Abu Jamie, Yara shareef Ashour, Sharif S. Alijla, Mohamed Anwer El Tallaa, Adham Ashraf Abuattaya, Bisan D.M. Wishah, MOHAMMED A.M. ALDIRAWI, Ahmed S Darwish, Sulaiman T. Alzerei, Nidal Wishah, Sharif Alijla, Isidora Garcia, Marlene Diaz Echegaray, Veronica Raquel Cañapataña Sahuanay, Fernando Trigoso Mori, Jackelyne Alvarado Zelada, Juan Jose Salinas Barreto, Porfirio Rivera Altamirano, Cesar Torres Miranda, Rocio Anicama Elias, Julio Rivera Alvarez, Juan Pedro Vasquez Matos, Fernando Ayque Rosas, Jesmarina Ledesma Peraza, Andrea Gutarra Palomino, Stephany Vega Centen, Victor Casquero, María Rosa Ortiz Argomedo, Francisco Lapouble, Genaro Llap Unchón, Florangel Patricia Delgado Malaga, Luis Ortega Sotelo, Segundo Gamboa Kcomt, Araceli Villalba Villalba, Nancy Rossana Mendoza Leon, Loreley Raquel Cardenas Alva, Maria Susana Loo Neyra, Cathy Lee Alanguia Chipana, Cintya Maria de Jesus Torres Picón, Natalia Huaytalla Quiroz, Danny Dominguez, Carlos Segura Calle, Jenny Arauco, Luis Ormeño Calderón, Ximena Ghilardi Silva, Miriam Daniela Fernandez Wilson, Joan Elizabeth Gutierrez Maldonado, Cesar Diaz Leon, Waldo Berrocal Anaya, Patricia Chavez Galvez, Prince Pamela Aguilar Gargurevich, Flor de Maria Diaz Castañeda, Carmen Guisse, Erika Ramos Paredes, Jose Luis Apaza Leon, Faye Aguilar Aguilar, Raul Ramirez De La Cruz, Lenny Flores Carbajal, Carlos Mendoza Chiroque, Gladys Johana Sulca Cruzado, Natalia Tovar Gutierrez, Jennifer Sotelo Sanchez, Carolina Paz Soldan, Karina Hernández Córdova, Edgar Fernando Delgado Quinteros, Luz Mery Brito Quevedo, Juan Jose Mendoza Oviedo, Angel Samanez Obeso, Patricia Paredes Espinoza, Johann de Guzman, Raisa Yu, Vlad Cosoreanu, Sebastian Ionescu, Aurel Mironescu, Lucian Vida, Adrian Papa, Roxana Verdeata, Bogdan Gavrila, Liviu Muntean, Marija Lukac, Miona Stojanovic, Djordje Toplicic, Milan Slavkovic, Andjelka Slavkovi, Dragoljub Zivanovic, Ana Kostic, Maja Raicevic, Delphine Nkuliza, Daniel Sidler, Corné de Vos, Elmarie vd Merwe, David Tasker, Omar Khamag, Cecilia Rengura, Thozama Siyotula, Uzair Jooma, Dirk von Delft, Marion Arnold, Hansraj Mangray, Shamaman Harilal, Sanele Madziba, Naveen Wijekoon, Tharanga Gamage, Benedict Paul Bright, Alaa Abdulrahman, Ola Ahmed Abdulmjeed Mohammed, Mohammed Salah, Ahmad Elian Abu Ajwa, Mohammed Morjan, Mohammad Mohannad Batal, Vivian Faks, Mohamad Bassel Mouti, Ahmadfateh Assi, Ahmad Al-Mouakeh, Ahmad Sankari Tarabishi, Ziad Aljarad, Aos Alhamid, Jiraporn Khorana, Wannisa Poocharoen, Sirima Liukitithara, Anan Sriniworn, Wasun Nuntasunti, Monawat Ngerncham, Ratiyaporn Phannua, Kanokrat Thaiwatcharamas, Patchareeporn Tanming, Lassaad Sahnoun, Nahla Kchiche, Roua Abdelmoumen, Egemen Eroğlu, Mehmet Ali Ozen, Hatice Sonay Yalçın Cömert, Mustafa İmamoğlu, Haluk Sarıhan, Şebnem Kader, Mehmet Mutlu, Yakup Aslan, Ahmet Beşir, Şükran Geze, Bahanur Çekiç, Ali Yalcinkaya, Kaan Sönmez, Ramazan Karabulut, Zafer Türkyılmaz, Kıvanç Şeref, Merve Altın, Merve Aykut, M.Eren Akan, Melisa Erdem, Ebru Ergenekon, Canan Türkyılmaz, Elif Keleş, Ali Canözer, Aslı Öztürk Yeniay, Elif Eren, İlknur Banlı Cesur, Zerrin Özçelik, Gökmen Kurt, Mustafa Kurthan Mert, Hatice Kaya, Müge Çelik, Suleyman Cuneyt Karakus, Nazile Erturk, Alev Suzen, Nilay Hakan, Fatih Akova, Mehmet Pasaoglu, Shukurali Eshkabilov, Rustam Z. Yuldashev, Dekhkonboev Avazjon Abdunomonovich, Aliev Makhmudjan Muslimovich, Azad Patel, Chisengo Kapihya, Nicholas Ensar, Ramesh M Nataraja, Mithila Sivasubramaniam, Matthew Jones, Warwick Teague, Sharman Tan Tanny, Gordon Thomas, Kiera Roberts, Soundappan Sannappa Venkatraman, Holger Till, Manon Pigeolet, Martine Dassonville, Anas Shikha, Win Sabai Phyu Win, Zahidah Adlynee Haji Ahmad, Léamarie Meloche-Dumas, Louise Caouette-Laberge, Dickens St-Vil, Ann Aspirot, Nelson Piché, Shahrzad Joharifard, Nadia Safa, Jean-Martin Laberge, Sherif Emil, Pramod Puligandla, Kenneth Shaw, Hussein Wissanji, Eileen Duggan, Elena Guadagno, Maria Consuelo Puentes, Paola Osses Leal, Carolina Mendez Benavente, Michal Rygl, Barbora Trojanová, Klára Berková, Tereza Racková, Ladislav Planka, Jan Škvařil, Radek Štichhauer, Shahad Sabti, Alex Macdonald, Nordeen Bouhadiba, Dorothy Kufeji, Caroline Pardy, Simon Mccluney, Alireza Keshtgar, Rebecca Roberts, Hannah Rhodes, Kate Burns, Robin Garrett-Cox, Kat Ford, Hannah Cornwall, Krithi Ravi, Felicity Arthur, Paul Losty, Tony Lander, Ingo Jester, Suren Arul, Oliver Gee, Giampiero Soccorso, Michael Singh, Max Pachl, Benjamin Martin, Afnan Alzubair, Arun Kelay, Jonathan Sutcliffe, Thomas Middleton, Amy Hughes Thomas, Merina Kurian, Fraser Cameron, Jayaram Sivaraj, Mark C Thomas, Dean Rex, Ceri Jones, Kate Bradshaw, Arnaud Bonnard, Xavier Delforge, Camille Duchesne, Caroline Le Gall, Coralie Defert, Samia Laraqui Hossini, Florent Guerin, Géraldine Hery, Virginie Fouquet-Languillat, Jules Kohaut, Aline Broch, Thomas Blanc, Luke Harper, Thomas Delefortrie, Quentin Ballouhey, Laurent Fourcade, Céline Grosos, Benoit Parmentier, Guillaume Levard, Maria Giovanna Grella, Mariette Renaux Petel, Lucie Grynberg, Olivier Abbo, Sofia Mouttalib, Mélodie Juricic, Aurelien Scalabre, Elodie Haraux, Anke Rissmann, Hardy Krause, Peter Goebel, Ludwig Patzer, Udo Rolle, Andrea Schmedding, Alexandra Antunez-Mora, Bernd Tillig, Sylvester von Bismarck, Patricia Reis Barbosa, Christian Knorr, Domitille Stark, Marco Brunero, Luigi Avolio, Francesco Manni, Matilde Molinelli, Marinella Guazzotti, Alessandro Raffaele, Piero Giovanni Romano, Silvia Cavaiuolo, Gian Battista Parigi, Laszlo Juhasz, Anna Rieth, Arunas Strumila, Rūta Dagilytė, Arunas Liubsys, Pranas Gurskas, Dalius Malcius, Agne Mikneviciute, Asta Vinskaite, Vidmantas Barauskas, Liam Vierboom, Timothy Hall, Spencer Beasley, Lucy Goddard, Mark Stringer, Naveen Weeratunga, Stephen Adams, Jitoko Cama, Marilyn Wong, Sridharan Jayaratnam, Askar Kukkady, Udaya Samarakkody, Sylwester Gerus, Dariusz Patkowski, Agnieszka Wolny, Tomasz Koszutski, Szymon Tobor, Marta Osowicka, Piotr Czauderna, Dariusz Wyrzykowski, Hanna Garnier, Stefan Anzelewicz, Osowicka Marta, Agata Knurowska, Alicja Weiszewsk, Andrzej Grabowski, Wojciech Korlacki, Michal Pasierbek, Przemyslaw Wolak, Aneta Piotrowska, Anna Roszkiewicz, Piotr Kalicińsk, Agata Trypens, Grzegorz Kowalewsk, David Sigalet, Amer Alsaied, Mansour Ali, Ameen Alsaggaf, Alaa Ghallab, Yazeed Owiwi, Ali Zeinelabdeen, Mohamed Fayez, Ahmed Atta, Mazen Zidan, Asaad saleh Radwan, Hanin Shalaby, Reem Abdelbaqi, Khalid Alattas, Yar Kano, Omar Sindi, Abdullah Alshehri, Tariq Altokhais, Fahad Alturki, Mohammad Almosaibli, Dasha Krisanova, Wisam Abbas, Hee-Beom Yang, Hyun-Young Kim, Joong Kee Youn, Jae Hee Chung, Seok Hyeon Cho, In ji Hwang, Ju yeon Lee, Eung song Song, Jenny Arboleda, Mercedes Ruiz de Temiño Bravo, Alexander Siles Hinojosa, Miriam García, Isabel Casal Beloy, Detlef Oliu San Miguel, Maria Elena Molina Vazquez, Verónica Alonso, Alberto Sanchez, Oscar Gomez, Isabel Carrillo, Tomas Wester, Carmen Mesas Burgos, Martin Salö, Erik Omling, Niclas Rudolfson, Christina Granéli, Helena Arnadóttir, Emma Grottling, Kate Abrahamsson, Vladimir Gatzinsky, Michaela Dellenmark Blom, Daniel Borbonet, Paul Puglia, Vinicio Jimenez Morejon, Gaston Acuna, Mario Moraes, Jonathan Chan, Pavan Brahmamdam, Alan Tom, Karen Sherer, Brandy Gonzales, Aaron Cunningham, Sanjay Krishnaswami, Reto Baertschiger, Mary Leech, Regan Williams, Lauren Camp, Ankush Gosain, Maria Mora, Bailey D. Lyttle, Jeremy Chang, Lydia McColl Makepeace, Kathryn L Fowler, Sara Mansfield, Erica Hodgman, Chukwubinyelum Amaechi, Alana Beres, Mark N. Pernik, Luke J. Dosselman, Murad Almasri, Sunil Jain, Varun Modi, Marianelly Fernandez Ferrer, John Coon, Joann Gonzalez, Medhavi Honhar, Nensi Ruzgar, Griffin Coghill, Sarah Ullrich, Maija Cheung, Katrine Løfberg, Jodie Greenberg, Kate Davenport, Samir Gadepalli, Sarah Fox, Stephanie Johnson, Mercedes Pilkington, April Hamilton, Nicole Lin, Juan Sola, Yang Yao, Jenna Kylene Davis, Monica Langer, Jonathan Vacek, Fizan Abdullah, Julie Khlevner, William Middlesworth, Marc Levitt, Hira Ahmad, Sabina M Siddiqui, Alex Bowder, Terry Derks, Afua Amoabin Amoabin, Brooke Pinar, Frank Owusu-Sekyere, Benmanseur Saousen, Rasika Naidoo, Azra Karamustafic, Danielle Paula de Oliveira, Jerhy Andrade, Antonín Šafus, Jason Langley, Alexandra Wilke, Corazone Deya, Habib Mansour Murtadi, Mindaugas Berzanskis, Nwachukwu Calistus, Olalekan S. Ajiboye, Michael Felix, Osagie O Olabisi, Seçil Erçin, Teymursha Muradi, Stephen S. Burks, Sergio Lerma, Jillian Jacobson, Calin Calancea, Rafael Valerio-Vazquez, Guigui Sikwete, Owusu Sekyere, Akhona Mbonisweni, Shahnoor Syed, Cho Seok Hyeon, Fatemeh Pajouhandeh, Sheba Mary Pognaa Kunfah, Global PaedSurg Research Collaboration, and Tıp Fakültesi
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Male ,Pediatrics ,medicine.medical_specialty ,Adolescent ,Gastrointestinal Diseases ,Psychological intervention ,Disease ,Global Health ,Specialties, Surgical ,Congenital Abnormalities ,Cohort Studies ,medicine ,Humans ,Prospective Studies ,Prospective cohort study ,Child ,Developing Countries ,business.industry ,Gastroschisis ,Developed Countries ,Intestinal atresia ,Infant, Newborn ,Gestational age ,Congenital diaphragmatic hernia ,Infant ,Articles ,General Medicine ,medicine.disease ,Gastrointestinal Tract ,Atresia ,Child, Preschool ,Female ,business - Abstract
Summary Background Congenital anomalies are the fifth leading cause of mortality in children younger than 5 years globally. Many gastrointestinal congenital anomalies are fatal without timely access to neonatal surgical care, but few studies have been done on these conditions in low-income and middle-income countries (LMICs). We compared outcomes of the seven most common gastrointestinal congenital anomalies in low-income, middle-income, and high-income countries globally, and identified factors associated with mortality. Methods We did a multicentre, international prospective cohort study of patients younger than 16 years, presenting to hospital for the first time with oesophageal atresia, congenital diaphragmatic hernia, intestinal atresia, gastroschisis, exomphalos, anorectal malformation, and Hirschsprung's disease. Recruitment was of consecutive patients for a minimum of 1 month between October, 2018, and April, 2019. We collected data on patient demographics, clinical status, interventions, and outcomes using the REDCap platform. Patients were followed up for 30 days after primary intervention, or 30 days after admission if they did not receive an intervention. The primary outcome was all-cause, in-hospital mortality for all conditions combined and each condition individually, stratified by country income status. We did a complete case analysis. Findings We included 3849 patients with 3975 study conditions (560 with oesophageal atresia, 448 with congenital diaphragmatic hernia, 681 with intestinal atresia, 453 with gastroschisis, 325 with exomphalos, 991 with anorectal malformation, and 517 with Hirschsprung's disease) from 264 hospitals (89 in high-income countries, 166 in middle-income countries, and nine in low-income countries) in 74 countries. Of the 3849 patients, 2231 (58·0%) were male. Median gestational age at birth was 38 weeks (IQR 36–39) and median bodyweight at presentation was 2·8 kg (2·3–3·3). Mortality among all patients was 37 (39·8%) of 93 in low-income countries, 583 (20·4%) of 2860 in middle-income countries, and 50 (5·6%) of 896 in high-income countries (p
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- 2020
47. Effect of aerobic training on exercise capacity and quality of life in patients older than 75 years with acute coronary syndrome undergoing percutaneous coronary intervention
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Ting Yan, Yan Wang, Xinwen Liu, Xiaoling Shou, Qi-Nan Wang, Aihua Ren, Liyue Zhu, Bingying Deng, Xiaoxia Zhao, and Bozhong Wang
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medicine.medical_specialty ,Acute coronary syndrome ,Rehabilitation ,Cardiac Rehabilitation ,Exercise Tolerance ,business.industry ,medicine.medical_treatment ,Percutaneous coronary intervention ,Physical Therapy, Sports Therapy and Rehabilitation ,Exercise capacity ,medicine.disease ,Exercise Therapy ,Percutaneous Coronary Intervention ,Quality of life ,medicine ,Physical therapy ,Quality of Life ,Aerobic exercise ,Humans ,In patient ,Acute Coronary Syndrome ,business ,Aged - Abstract
Limited clinical studies are available on early exercise-based cardiac rehabilitation in elderly acute coronary syndrome (ACS) patients.To evaluate the effect of aerobic exercise on exercise capacity and quality of life (QoL) in such patients.Seventy elderly patients with ACS undergoing percutaneous coronary intervention in Zhejiang Hospital during August 2016-June 2017 were randomly divided into the control (n = 35) or cardiac rehabilitation group (CR, n = 35). The control group was treated with standard medical treatments without exercise, whereas the CR group was treated with standard medical treatments and exercise-based cardiac rehabilitation. General information, cardiopulmonary exercise test (CPET) results, responses to QoL and mental health questionnaires, and clinical outcomes and safety were collected.The CR group safely finished CPET and the 12-week exercise-based cardiac rehabilitation. After the 12-week intervention, the CR group showed significant differences in maximal oxygen uptake (VOCPET-based exercise in cardiac rehabilitation can safely increase exercise capacity and QoL in such patients.
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- 2020
48. Leaf blast spot detection method based on Linknet
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Dong Wang, Xiaoxia Zhao, Song Min, Guo Huimin, Gong Meiling, and Chen Junshen
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Computer science ,business.industry ,Deep learning ,Feature extraction ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Pattern recognition ,Data set ,Upsampling ,Segmentation ,Artificial intelligence ,False positive rate ,Precision and recall ,business ,Spatial analysis - Abstract
This paper aims to solve the problem of automatic detection of rice leaf lesions in natural scenes using deep learning techniques. In this paper, the Linknet full convolutional network was built to train the segmentation model. The network compensates the lost spatial information in the feature extraction process through the short connection structure between downsampling and corresponding upsampling. The model takes rice canopy RGB image as input and then output binarized lesion segmentation image. Then considered with the distribution characteristics of lesion spots, the loss function of the origin model was replaced with Focal loss function, which further improved the segmentation accuracy of the model. The average precision and recall have respectively achieved 98.55% and 98.64% on validate data set, and the average false positive rate has reduced to 1.36%, which has a better segmentation performance. It creates a good precondition for automatic identification of leaves diseases.
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- 2020
49. Seismic Response of Concrete-Canvas Reinforced Slopes: Influence of Tilt Degrees for Reinforcement
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Jie Tan, Lin Zhou, Jun Wang, Xiaoxia Zhao, and Guangya Ding
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Geophysics ,Tilt (optics) ,Earthquake shaking table ,Geotechnical engineering ,Geotechnical Engineering and Engineering Geology ,Oceanography ,Reinforcement ,Geology - Abstract
A series of shaking table tests were conducted on reinforced slopes to study the slope dynamic characteristics. The influence of concrete-canvas tilt degrees on the seismic response was studied. By considering the effects of different concrete-canvas tilt degrees, the seismic responses of the reinforced slopes were analyzed, along with the accelerations, crest settlements, and horizontal displacements. The failure patterns of different model slopes were compared using white coral sand marks placed at designated elevations to monitor the internal slide of the reinforced slopes. Several round markers were placed on the slope surface to compare the deformation before and after shaking with different amplitudes. The results indicated that with the increase in concrete-canvas tilt degrees, a better reinforcing effect was obtained, and 30° reinforcement reached a threshold level, the slide-out point shifts from the crest of the slope to the middle of the reinforced model. The bottom 2/7th zone of the slope was relatively stable during the earthquake and the reinforcement was ineffective at the bottom of the slope. When both considered the influence of reinforcing effect and construction difficulty, 20° is the suitable tilt degree in concrete-canvas reinforced slopes. The characteristics of increasing strength of the concrete canvas make it suitable for the application in slope protection.
- Published
- 2020
50. Spermatic Cord Ultrasonography Guiding Strategy for Optimizing Treatment of Unilateral Inguinal Hernia
- Author
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Jinfa Tou, Peng Wang, Qi Qin, Dengming Lai, Shoujiang Huang, Luyin Zhang, Rui Chen, Chengjie Lyu, Shuqi Hu, and Xiaoxia Zhao
- Subjects
medicine.medical_specialty ,business.industry ,Incidence (epidemiology) ,Retrospective cohort study ,medicine.disease ,Institutional review board ,Spermatic cord ,Surgery ,Inguinal hernia ,medicine.anatomical_structure ,Informed consent ,medicine ,Unilateral inguinal hernia ,Ultrasonography ,business - Abstract
Background: The strategies forchildren with initial unilateral inguinal hernia are open or laparoscopic herniorrhaphy. However, the clinical criteria for choosing an optimized treatment remains unclear.In this study, we aim to find a new strategy for optimizing the treatment of unilateral inguinal hernia. Methods: 1843 boys with left-sided inguinal hernia underwent open or laparoscopic herniorrhaphy were enrolled in our study and were divided into two groups: ultrasonography group (UG) and non- ultrasonography group (NUG). Spermatic cord ultrasonography was used for detecting the width of spermatic cord (WSC). Age at initial operation, WSC, operative findings, hospitalization expenses, incidence of metachronous inguinal hernia (MIH), rate of contralateral patent processes vaginalis (CPPV) and complications were recorded and analyzed. Findings: In the open herniorrhaphy group, the incidence of MIH in the WSC < 0 · 35 cm of UG was lower than NUG. The patients with left-sided WSC ≥ 0·55 cm all had been confirmed contralateral inguinal hernia. In the laparoscopic herniorrhaphy group, the rate of CPPV in UG was much higher than NUG. There was no significant difference in total incidence of complications between two groups. Interpretation: Spermatic cord ultrasonography was helpful for choosing the treatment of unilateral inguinal hernia. Following this strategy may reduce the incidence of MIH, increase the rate of CPPV of laparoscopic herniorrhaphy without any increase in complications. Funding: This work was supported by National Natural Science Foundation of China 81901989 and Project funded by China Postdoctoral Science Foundation 2019M652108 and 2018M642463. Declaration of Interests: The authors declare that they have no competing interests. Ethics Approval Statement: This retrospective study was approved by the Institutional Review Board of the Children’s Hospital, Zhejiang University School of Medicine. Patients’ guardian all gave written informed consent.
- Published
- 2020
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