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Risk factors for renal outcomes in children with antineutrophil cytoplasmic antibody-associated vasculitis:a nationwide retrospective study in China

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World Journal of Pediatrics 2024年第5期20卷 506-516页

作者： Li-Wen Tan Jun-Li Wan Chun-hua Zhu Hong Xu Zheng-Kun Xia Li-Zhi Chen Xiao-Chuan Wu Fang Wang Xiao-Rong Liu Cheng-Guang Zhao Xiao-Zhong Li Jian-hua Mao Xiao-Wen Wang Wen-Yan huang Yu-Hong Li Jian-Jiang zhang Shi-Pin Feng Jun Yang Jiao-Jiao Liu Chun-Lin Gao Li-Ping Rong Lan-Jun Shuai Ke Xu He-Jia zhang Qiu Li ai-hua zhang Mo Wang Department of Nephrology Children’s Hospital of Chongqing Medical UniversityZhongshan 2nd Rd.136Chongqing400014China Ministry of Education Key Laboratory of Child Development and Disorders National Clinical Research Center for Child Health and DisordersChina International Science and Technology Cooperation Base of Child Development and Critical DisordersChildren’s Hospital of Chongqing Medical UniversityChongqingChina Chongqing Key Laboratory of Pediatrics Children’s Hospital of Chongqing Medical UniversityChongqingChina Department of Nephrology Children’s Hospital of Nanjing Medical University72 Guangzhou RoadNanjing210008China Department of Nephrology Children’s Hospital of Fudan UniversityNational Paediatric Medical Center of ChinaShanghaiChina Department of Pediatrics Jinling HospitalNanjing Medical UniversityNanjingChina Department of Pediatrics Jinling HospitalThe First School of Clinical MedicineSouthern Medical UniversityNanjingChina Department of Pediatrics Jinling HospitalMedical School of Nanjing UniversityNanjingChina Department of Pediatric Nephrology and Rheumatology The First Affiliated Hospital of Sun Yat-Sen UniversityGuangzhouChina Department of Pediatrics The Second Xiangya Hospital of Central South UniversityChangshaChina Department of Pediatrics Peking University First HospitalBeijingChina Department of Nephrology Beijing Children’s HospitalCapital Medical UniversityBeijing100045China National Center for Children’s Health BeijingChina Department of Pediatrics Shengjing Hospital of China Medical UniversityShenyangChina Department of Nephrology and Immunology Children’s Hospital of Soochow UniversitySuzhouChina Department of Nephrology Children HospitalZhejiang University School of MedicineHangzhouChina Department of Nephrology Wuhan Children’s Hospital(Wuhan Maternal and Child Healthcare Hospital)Tongji Medical CollegeHuazhong University of Science&TechnologyWuhanChina Department of Nephrology and Rheumatology Shanghai Children’s HospitalSchool

Background Pediatric antineutrophil cytoplasmic antibody-associated vasculitis(AAV)is a life-threatening systemic vasculitis featured by liability to renal ***,there are few studies on the risk factors and predictive models for renal outcomes of AAV in *** Data from 179 AAV children in multiple centers between January 2012 and March 2020 were collected *** risk factors and predictive model of end-stage renal disease(ESRD)in AAV were *** Renal involvement was the most typical manifestation(95.5%),and the crescent was the predominant pathological lesion(84.9%).The estimated glomerular filtration rate(eGFR)was evaluated in 114 patients,of whom 59.6%developed ESRD,and the median time to ESRD was 3.20 *** eGFR[P=0.006,odds ratio(OR)=0.955,95%confidence interval(CI)=0.924–0.987]and the percentages of global glomerulosclerosis(pGGS;P=0.018,OR=1.060,95%CI=1.010–1.112)were independent risk factors for ESRD of renal *** on the pGGS and eGFR at renal biopsy,we developed three risk grades of ESRD and one predictive *** Kaplan‒Meier curve indicated that renal outcomes were significantly different in different risk grades(P<0.001).Compared with serum creatinine at baseline,the predictive model had higher accuracy(0.86 versus 0.58,P<0.001)and a lower coefficient of variation(0.07 versus 0.92)in external *** Renal involvement is the most common manifestation of pediatric AAV in China,of which more than half deteriorates into *** predictive model based on eGFR at renal biopsy and the pGGS may be stable and accurate in speculating the risk of ESRD in AAV children.

关键词： Antineutrophil cytoplasmic antibody End-stage renal disease Glomerulonephritis Pediatric nephrology Vasculitis

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A highly selective electrochemical impedimetric sensor for imidacloprid determination based on WO_(3)/MoS_(2)nanosheets/molecularly imprinted polymer composite

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Rare Metals 2024年第3期43卷 1309-1315页

作者： Long-hua Ding Ya-Wen Wang Qiu-Wen Li Li-Li zhang ai-Zhu Wang Institute for Advanced Interdisciplinary Research School of Chemistry and Chemical EngineeringUniversity of JinanJinan250022China HCA Florida Healthcare Westside/Northwest Hospital Internal Medicine PlantationFL33324USA

In this study,an electrochemical impedimetric sensor was established for imidacloprid(IMI)detection based on WO_(3)/MoS_(2)and molecular imprinted polymer(MIP)*** layer was prepared on electrode surface by electropolymerization of o-phenylenediamine(o-PD)in the presence of IMI template,which ensured the specific rec-ognization toward IMI.

关键词： electrochemical polymer polymerization

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On the Pathwise Uniqueness of Solutions of One-dimensional Reflected Stochastic Differential Equations with Jumps

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Acta Mathematicae Applicatae Sinica 2024年第1期40卷 149-163页

作者： hua zhang School of Statistics and Data Science&Key Laboratory of Data Science in Finance and Economics Jiangxi University of Finance and EconomicsNanchang330013China

In this paper, we are concerned with the problem of the pathwise uniqueness of one-dimensional reflected stochastic differential equations with jumps under the assumption of non-Lipschitz continuous coefficients whose... 详细信息

关键词： reflected diffusion processes with jumps pathwise uniqueness local time Meyer It?'s formula

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MiR-29b expression is altered in crescent formation of HSPN and accelerates AngⅡ-induced mesangial cell activation

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World Journal of Pediatrics 2020年第2期16卷 201-212页

作者： Shan Cheng Chun-hua Zhu ai-hua zhang Song-Ming huang Department of Infectious Disease Children's Hospital of Nanjing Medical University72 Guangzhou RoadNanjing 210008China Department of Nephrology Children's Hospital of Nanjing Medical University72 Guangzhou RoadNanjing 210008China

Background MicroRNA-29b(miR-29b)has been suggested to possess pro-inflammatory activity,which can partially be explained by the repression of tumor necrosis factor alpha protein three antibody(TNFaiP3).Meanwhile,it also promotes thyroid cell proliferation via Smad signaling *** present study aimed to elucidate the role of miR-29b in Henoch Sch(o)nlein purpura nephritis(HSPN)and its underlying molecular mechanism in angiotensinⅡ(AngⅡ)-induced human glomerular mesangial cell(HGMC)*** We evaluated miR-29b expression in 35 HSPN renal tissues based on crescent formation,glomerular sclerosis,interstitial fibrosis,thrombosis formation and capillary loop ***,HGMCs were cultured,treated with AngⅡand then transfected with LV-hsa-miR-29b-1 to induce miR-29b overexpression or LV-hsa-miR-29b-3p-inhibition to inhibit miR-29b ***,we examined the effects of miR-29b on cell proliferation and release of inflammatory *** We observed that miR-29b expression was significantly higher in the crescent group than in the no crescent ***-29b overexpression induced the release of intercellular adhesion molecule-1,interleukin-1β(IL-1β),IL-6,IL-8,the increase of CyclinA2,CyclinD 1,and cell *** also could inhibit the expressions of TNFaiP3 and NF-kappa-B-repressing factor(NKRF).Correspondingly,miR-29b inhibition produced the opposite effects and increased the expression of TNFaiP3 and *** MiR-29b expression is altered in crescent formation of HSPN and accelerates AngⅡ-induced mesangial cell proliferation and release of inflammatory mediators.

关键词： Cell proliferation Crescent Inflammation MiR-29b

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The SLEGS beamline of SSRF

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Nuclear Science and Techniques 2024年第7期35卷 20-30页

作者： Long-Xiang Liu Hong-Wei Wang Gong-Tao Fan Hang-hua Xu Yue zhang Zi-Rui Hao ai-Guo Li Shanghai Advanced Research Institute Chinese Academy of SciencesShanghai201210China

The Shanghai Laser Electron Gamma Source(SLEGS, located in BL03SSID) beamline at the Shanghai Synchrotron Radiation Facility(SSRF) is a Laser Compton Scattering(LCS) gamma source used for the investigation of nuclear structure, which is in extensive demand in fields such as nuclear astrophysics, nuclear cluster structure, polarization physics, and nuclear energy. The beamline is based on the inverse Compton scattering of 10640 nm photons on 3.5 GeV electrons and a gamma source with variable energy by changing the scattering angle from 20° to 160°. γ rays of 0.25-21.1 MeV can be extracted by the scheme consisting of the interaction chamber, coarse collimator, fine collimator, and attenuator. The maximum photon flux for 180° is approximately 10~7 photons/s at the target at 21.7 MeV, with a 3-mm-diameter beam. The beamline was equipped with four types of spectrometers for experiments in( γ,γ'),( γ,n),( γ,p), and( γ,α). At present, Nuclear Resonance Fluorescence(NRF) spectrometry, Flat-Efficiency neutron Detector(FED) spectrometry, neutron Time-Of-Flight(TOF) spectrometry, and Light-Charged Particle(LCP) spectrometry methods have been developed.

关键词： Shanghai Synchrotron Radiation Facility SLEGS Nuclear astrophysics Nuclear structure

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Nuclear charge radius predictions by kernel ridge regression with odd-even effects

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Nuclear Science and Techniques 2024年第2期35卷 94-102页

作者： Lu Tang Zhen-hua zhang Mathematics and Physics Department North China Electric Power UniversityBeijing 102206China Hebei Key Laboratory of Physics and Energy Technology North China Electric Power UniversityBaoding 071000China

The extended kernel ridge regression(EKRR)method with odd-even effects was adopted to improve the description of the nuclear charge radius using five commonly used nuclear *** are:(i)the isospin-dependent A^(1∕3) formula,(ii)relativistic continuum Hartree-Bogoliubov(RCHB)theory,(iii)Hartree-Fock-Bogoliubov(HFB)model HFB25,(iv)the Weizsacker-Skyrme(WS)model WS*,and(v)HFB25**** the last two models,the charge radii were calculated using a five-parameter formula with the nuclear shell corrections and deformations obtained from the WS and HFB25 models,*** each model,the resultant root-mean-square deviation for the 1014 nuclei with proton number Z≥8 can be significantly reduced to 0.009-0.013 fm after considering the modification with the EKRR *** best among them was the RCHB model,with a root-mean-square deviation of 0.0092 *** extrapolation abilities of the KRR and EKRR methods for the neutron-rich region were examined,and it was found that after considering the odd-even effects,the extrapolation power was improved compared with that of the original KRR *** strong odd-even staggering of nuclear charge radii of Ca and Cu isotopes and the abrupt kinks across the neutron N=126 and 82 shell closures were also calculated and could be reproduced quite well by calculations using the EKRR method.

关键词： Nuclear charge radius Machine learning Kernel ridge regression method

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Reliability ensemble averaging reduces surface wind speed projection uncertainties in the 21st century over China

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Advances in Climate Change Research 2024年第2期15卷 222-229页

作者： Zheng-Tai zhang Chang-ai XU Key Laboratory for Semi-Arid Climate Change of the Ministry of Education College of Atmospheric SciencesLanzhou UniversityLanzhou 730000China

Accurate prediction of future surface wind speed(SWS)changes is the basis of scientific planning for wind *** studies have projected SWS changes in the 21st century over China on the basis of the multi-model ensemble(MME)of the 6th Coupled Model Intercomparison Project(CMIP6).However,the simulation capability for SWS varies greatly in CMIP6 multi-models,so the MME results still have large *** this study,we used the reliability ensemble averaging(REA)method to assign each model different weights according to their performances in simulating historical SWS changes and project the SWS under different shared socioeconomic pathways(SSPs)in *** results indicate that REA considerably improves the SWS simulation capacity of CMIP6,eliminating the overestimation of SWS by the MME and increasing the simulation capacity of spatial *** spatial correlations with observations increased from 0.56 for the MME to 0.85 for ***,REA could eliminate the overestimation of the SWS by 33%in *** for southeastern China,the SWS generally decreases over China in the near term(2020-2049)and later term(2070-2099),particularly under high-emission *** SWS reduction projected by REA is twice as high as that by the MME in the near term,reaching-4%to-3%.REA predicts a larger area of increased SWS in the later term,which expands from southeastern China to eastern *** study helps to reduce the projected SWS uncertainties.

关键词： Surface wind speed Uncertainty Multi-model ensemble Reliability ensemble averaging CMIP6

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Intestinal tuberculosis with small bowel stricture and hemorrhage as the predominant manifestation: Three case reports

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World Journal of Gastrointestinal Surgery 2024年第1期16卷 248-256页

作者： Gang huang Kang-Kang Wu Xiao-Na Li Jing-hua Kuai ai-Jun zhang Department of Gastroenterology Qilu Hospital(Qingdao)Cheeloo College of MedicineShandong UniversityQingdao 266000Shandong ProvinceChina

BACKGROUND Intestinal tuberculosis is a chronic disease caused by Mycobacterium tuberculosis that mainly affects the ileum and *** bowel tuberculosis,characterized by predominant involvement of the small intestine,is an extremely rare condition with highly atypical clinical presentations,making diagnosis even more *** SUMMARY We report three cases of small intestinal tuberculosis,two of the patients pre-sented primarily with abdominal pain,and one presented with gastrointestinal *** patients underwent blood tests and imaging *** bowel endoscopy(SBE)revealed that the main lesions in these patients were in-testinal stenosis or gastrointestinal bleeding caused by small intestinal *** patient ultimately underwent surgical *** a complex diagnostic process and comprehensive analysis,all patients were confirmed to have small intestinal tuberculosis and received standard antituberculosis treatment,leading to an improvement in their *** Patients with SBTs present with nonspecific symptoms such as abdominal pain,weight loss,and occasional gastrointestinal *** diagnosis requires a thorough evaluation of clinical symptoms and various tests to avoid misdiagno-sis and complications.

关键词： Intestinal tuberculosis Gastrointestinal hemorrhage Small bowel endoscopy Case report

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CF-DAN: Facial-expression recognition based on cross-fusion dual-attention network

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Computational Visual Media 2024年第3期10卷 593-608页

作者： Fan zhang Gongguan Chen hua Wang Caiming zhang Shandong Technology and Business University Shandong 264005China School of Information and Electrical Engineering Ludong UniversityYantai 264025China Shangdong University Shandong 250100China

Recently, facial-expression recognition (FER)has primarily focused on images in the wild, includingfactors such as face occlusion and image blurring, ratherthan laboratory images. Complex ﬁeld environmentshave introduced new challenges to FER. To addressthese challenges, this study proposes a cross-fusion dualattention network. The network comprises three parts:(1) a cross-fusion grouped dual-attention mechanism toreﬁne local features and obtain global information;(2) aproposed C2 activation function construction method,which is a piecewise cubic polynomial with threedegrees of freedom, requiring less computation withimproved ﬂexibility and recognition abilities, whichcan better address slow running speeds and neuroninactivation problems;and (3) a closed-loop operationbetween the self-attention distillation process andresidual connections to suppress redundant informationand improve the generalization ability of the *** recognition accuracies on the RAF-DB, FERPlus,and AffectNet datasets were 92.78%, 92.02%, and63.58%, respectively. Experiments show that this modelcan provide more effective solutions for FER tasks.

关键词： facial-expression recognition(FER) cubic polynomial activation function dualattention mechanism interactive learning self-attention distillation

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U-Net Models for Representing Wind Stress Anomalies over the Tropical Pacific and Their Integrations with an Intermediate Coupled Model for ENSO Studies

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Advances in Atmospheric Sciences 2024年第7期41卷 1403-1416页

作者： Shuangying Du Rong-hua zhang Key Laboratory of Ocean Circulation and Waves Institute of OceanologyChinese Academy of SciencesQingdao266071China School of Marine Sciences Nanjing University of Information Science and TechnologyNanjing210044China Laosan Laboratory Qingdao266237China University of Chinese Academy of Sciences Beijing100049China

El Niño-Southern Oscillation(ENSO)is the strongest interannual climate mode influencing the coupled ocean-atmosphere system in the tropical Pacific,and numerous dynamical and statistical models have been developed to simulate and predict *** some simplified coupled ocean-atmosphere models,the relationship between sea surface temperature(SST)anomalies and wind stress(τ)anomalies can be constructed by statistical methods,such as singular value decomposition(SVD).In recent years,the applications of artificial intelligence(ai)to climate modeling have shown promising prospects,and the integrations of ai-based models with dynamical models are active areas of *** study constructs U-Net models for representing the relationship between SSTAs andτanomalies in the tropical Pacific;the UNet-derivedτmodel,denoted asτUNet,is then used to replace the original SVD-basedτmodel of an intermediate coupled model(ICM),forming a newly ai-integrated ICM,referred to as *** simulation results obtained from ICM-UNet demonstrate their ability to represent the spatiotemporal variability of oceanic and atmospheric anomaly fields in the equatorial *** the ocean-only case study,theτUNet-derived wind stress anomaly fields are used to force the ocean component of the ICM,the results of which also indicate reasonable simulations of typical ENSO *** results demonstrate the feasibility of integrating an ai-derived model with a physics-based dynamical model for ENSO modeling ***,the successful integration of the dynamical ocean models with the ai-based atmospheric wind model provides a novel approach to ocean-atmosphere interaction modeling studies.

关键词： U-Net models wind stress anomalies ICM integration of ai and physical components

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