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World Journal of Clinical Cases 2022年第32期10卷 11845-11852页

作者： Jia-Yi Zhang jian-Min Ding Yan zhou Xiang Jing Department of Ultrasound The Third Central Clinical College of Tianjin Medical UniversityTianjin 300170China Department of Ultrasound Tianjin Institute of Hepatobiliary DiseaseTianjin Key Laboratory of Artificial CellArtificial Cell Engineering Technology Research Center of Public Health MinistryTianjin 300170China

BACKGROUND Radiofrequency ablation(RFA)is gaining popularity as an additional therapy for pancreatic ductal *** appears to be an attractive treatment option for patients with unresectable,locally advanced and nonmetastatic pancreatic *** SUMMARY A 60-year-old woman with 2 mo intermittent upper abdominal pains was admitted to *** had undergone radical gastrectomy(Billroth II)for gastric antral ***-enhanced computed tomography(CECT)and abdominal ultrasound displayed a primary tumor in the neck of the *** examination showed that the lesion was a pancreatic ductal *** to the results of the imaging,open approach RFA was selected to treat the primary *** months later,CECT follow-up revealed local recurrence of the tumor,and another open RFA was *** there is evidence that RFA for recurrence of other cancers such as hepatocellular carcinoma may prolong patient survival,it remains unclear whether repeat RFA for local recurrence of pancreatic cancer is *** patient continued to enjoy 9 years of life following the first *** RFA of locally advanced,nonresectable,nonmetastatic,pancreatic tumor is characterized by feasibility-based treatment giving rise to tumor reduction based on improvement of quality of life.

关键词： Locally advanced pancreatic cancer Radiofrequency ablation Recurrence Pancreatic ductal adenocarcinoma Case report

Risk factors and machine learning prediction models for bronchopulmonary dysplasia severity in the Chinese population

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World Journal of Pediatrics 2023年第6期19卷 568-576页

作者： Wen He Lan Zhang Rui Feng Wei-Han Fang Yun Cao Si-Qi Sun Peng shi jian-Guo zhou Liang-Feng Tang Xiao-Bo Zhang Yuan-Yuan Qi Department of Respirology Children’s HospitalFudan University399 Wanyuan RoadShanghai 201102China Department of Neonatology Children’s HospitalFudan UniversityShanghaiChina Shanghai Key Laboratory of Intelligent Information Processing School of Management and StatisticsFudan UniversityShanghaiChina Shanghai Pinghe Bilingual School ShanghaiChina Department of Data Management and Statistics Children’s Hospital of Fudan UniversityShanghaiChina Department of Urology Children’s HospitalFudan UniversityShanghaiChina

Background Bronchopulmonary dysplasia(BPD)is a common chronic lung disease in extremely preterm *** outcome and clinical burden vary dramatically according to *** some prediction tools for BPD exist,they seldom pay attention to disease severity and are based on populations in developed *** study aimed to develop machine learning prediction models for BPD severity based on selected clinical factors in a Chinese *** In this retrospective,single-center study,we included patients with a gestational age<32 weeks who were diagnosed with BPD in our neonatal intensive care unit from 2016 to *** collected their clinical information during the maternal,birth and early postnatal *** factors were selected through univariable and ordinal logistic regression *** models based on logistic regression(LR),gradient boosting decision tree,XGBoost(XGB)and random forest(RF)models were implemented and assessed by the area under the receiver operating characteristic curve(AUC).Results We ultimately included 471 patients(279 mild,147 moderate,and 45 severe cases).On ordinal logistic regression,gestational diabetes mellitus,initial fraction of inspiration O_(2) value,invasive ventilation,acidosis,hypochloremia,C-reactive protein level,patent ductus arteriosus and Gram-negative respiratory culture were independent risk factors for BPD *** the XGB,LR and RF models(AUC=0.85,0.86 and 0.84,respectively)all had good *** We found risk factors for BPD severity in our population and developed machine learning models based on *** models have good performance and can be used to aid in predicting BPD severity in the Chinese population.

关键词： Bronchopulmonary dysplasia Machine learning-Prediction model Preterm

Dual Effects of Light on Regulating Aedes aegypti Heat-Seeking Behavior

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Neuroscience Bulletin 2022年第11期38卷 1420-1424页

作者： Haonan zhou Kai shi Fengming Wu Bingcai Wang Jing Li Bowen Deng Chuan zhou State Key Laboratory of Integrated Management of Pest Insects and Rodents Institute of ZoologyChinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China Chinese Institute for Brain Research Beijing 102206China Institute of Molecular Physiology Shenzhen Bay LaboratoryShenzhen 518132China

Dear Editor,Mosquitoes,as important arthropod disease vectors,efficiently transmit pathogens such as dengue virus,Zika virus,yellow fever virus,and *** find their host,female mosquitoes use multiple sensory systems to... 详细信息

关键词： temperature. aegypti yellow

SPORTS1.0: A Tool for Annotating and Profiling Non-coding RNAs Optimized for rRNA-and tRNA-derived Small RNAs

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Genomics, Proteomics & Bioinformatics 2018年第2期16卷 144-151页

作者： Junchao shi Eun-A Ko Kenton M.Sanders Qi Chen Tong zhou Department of Physiology and Cell Biology University of Nevada Reno School of Medicine

High-throughput RNAoseq has revolutionized the process of small RNA （sRNA） discovery, leading to a rapid expansion of sRNA categories. In addition to the previously wellcharacterized sRNAs such as microRNAs （miRNAs）, piwi-interacting RNAs （piRNAs）, and small nucleolar RNA （snoRNAs）, recent emerging studies have spotlighted on tRNA-derived sRNAs （tsRNAs） and rRNA-derived sRNAs （rsRNAs） as new categories of sRNAs that bear versatile functions. Since existing software and pipelines for sRNA annotation are mostly focused on analyzing miRNAs or piRNAs, here we developed the sRNA annotation pipeline _optimized for rRNA- and tRNA-derived s_RNAs （SPORTS 1 .0）. SPORTS1.0 is optimized for analyzing tsRNAs and rsRNAs from sRNA-seq data, in addition to its capacity to annotate canonical sRNAs such as miRNAs and piRNAs. Moreover, SPORTS1.0 can predict potential RNA modification sites based on nucleotide mismatches within sRNAs. SPORTS1.0 is precompiled to annotate sRNAs for a wide range of 68 species across bacteria, yeast, plant, and animal kingdoms, while additional species for analyses could be readily expanded upon end users＇ input. For demonstration, by analyzing sRNA datasets using SPORTS1.0, we reveal that distinct signatures are present in tsRNAs and rsRNAs from different mouse cell types. We also find that compared to other sRNA species, tsRNAs bear the highest mismatch rate, which is consistent with their highly modified nature. SPORTS1.0 is an opensource software and can be publically accessed at https：//***/junchaoshi/sports1.0.

关键词： Small RNA RNA-seq data analysistsRNA rsRNA Annotation pipeline

An appropriate level of autophagy reduces emulsified isoflurane-induced apoptosis in fetal neural stem cells

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Neural Regeneration Research 2020年第12期15卷 2278-2285页

作者： Ze-Yong Yang Lei zhou Qiong Meng Hong shi Yuan-Hai Li Department of Anesthesiology International Peace Maternity and Child Health HospitalShanghai Jiao Tong University School of MedicineShanghai Key Laboratory of Embryo Original DiseaseShanghai Municipal Key Clinical SpecialtyShanghaiChina Department of Anesthesiology First Affiliated Hospital of Anhui Medical UniversityHefeiAnhui ProvinceChina Department of Anesthesiology Shanghai Pulmonary HospitalTongji UniversityShanghaiChina

Autophagy plays essential roles in cell ***,the functions and regulation of the autophagy-related proteins Atg5,LC3B,and Beclin 1 during anesthetic-induced developmental neurotoxicity remain *** study aimed to understand the autophagy pathways and mechanisms that affect neurotoxicity,induced by the anesthetic emulsified isoflurane,in rat fetal neural stem *** neural stem cells were cultured,in vitro,and neurotoxicity was induced by emulsified isoflurane *** effects of pretreatment with the autophagy inhibitors 3-methyladenine and bafilomycin and the effects of transfection with small interfering RNA against ATG5(siRNA-Atg5)were *** viability was determined using the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay,and apoptosis was assessed using flow *** changes were analyzed through transmission electron *** levels of the autophagy-related proteins LC3B,Beclin 1,Atg5,and P62 and the pro-apoptosis-related protein caspase-3 were analyzed using western blot *** inhibition of cell proliferation and that of apoptosis rate increased after treatment with emulsified ***,monolayer membrane formation due to lysosomal degradation,were *** autophagy-related proteins LC3B,Beclin 1,Atg5,and P62 and caspase-3 were *** results confirm that emulsified isoflurane can induce toxicity and autophagy in fetal neural stem ***-treatment with 3-methyladenine and bafilomycin increased the apoptosis rate in emulsified isoflurane-treated fetal neural stem cells,which indicated that the complete inhibition of autophagy does not alleviate emulsified isoflurane-induced fetal neural stem cell ***5 expression was decreased significantly by siRNA-Atg5 transfection,and cell proliferation was *** results verify that the Atg5 autophagy pathway can be regulated to maintain appropriate levels of autophagy,which can inhibit

关键词： apoptosis Atg5 autophagy emulsified isoflurane fetal neural stem cells LC3B MTT neurodegenerative neurotoxicity

Determination and analysis of basic physical and contact mechanics parameters of quinoa seeds by DEM

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International Journal of Agricultural and Biological Engineering 2023年第5期16卷 35-43页

作者： Linrong shi Wuyun Zhao Bugong Sun Wei Sun Gang zhou College of Mechanical and Electrical Engineering Gansu Agricultural UniversityLanzhou 730070China Institute of Dryland Agriculture Gansu Academy of Agricultural SciencesLanzhou 730070China

Quinoa is an ancient crop that is nutritious,balanced,and suitable for most ***,it has not been known and sought by the public until modern *** recent years,quinoa has been intensively known and widely grown in *** mechanized production machines have also been *** the help of DEM,we design and optimize the quinoa combined seeder,improving seeding efficiency and *** this paper,the basic physical and contact mechanics parameters required for the Hertz-Mindlin(no slip)of quinoa seeds in EDEM software were *** coefficient of rolling friction of quinoa seeds was calibrated on DEM,and which of Long Quinoa 4 is 0.043,and that of Meng Quinoa 4 was ***,we can find that the coefficient of rolling friction strengthens the shape to restrict rolling and weakens the shape to increase *** above research provides simulation parameters for the design and optimization of quinoa seed seeding machinery.

关键词： quinoa seeds physical parameters contact parameters calibration DEM

Reinforcement Learning-Based Handover Strategy for Space-Ground Integration Network with Large-scale Constellations

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Journal of Communications and Information Networks 2022年第4期7卷 421-432页

作者： Xiao Jia Di zhou Min Sheng Yan shi Ningyuan Wang jiandong Li State Key Laboratory of Integrated Service Networks Xidian UniversityXi’an 710071China Institute of Telecommunication and Navigation Satellites China Academy of Space TechnologyBeijing 100000Chin

The space-ground integration network(SGIN)with large-scale constellations has become an important topic of the next generation mobile communication technology,in which the handover technology between the satellite and the ground is the key technology to ensure the continuity of user ***,compared with the ground base station’s coverage of users,satellites have larger coverage and propagation delay,and large-scale constellations make multiple selectable service satellites above the same *** phenomena bring great challenges to the handover *** paper designs a reinforcement learning-based multi-attribute satellite-ground handover strategy(RLMSGHS)for SGIN with large-scale ***,users are clustered with the attributes of location,speed,and bandwidth ***,the handover decision can be made based on the proposed RLMSGHS according to the attributes of received signal strength(RSS),speed,network bandwidth utilization and,handover ***,the simulation results demonstrate that the heavy decision-making burden caused by the large-scale growth of users in the SGIN is significantly *** multi-attribute handover decision in the SGIN is realized,which reduces the handover demand of users and improves the resource utilization rate of the SGIN.

关键词： SGIN large-scale constellations satelliteground handover cluster reinforcement learning

Impacts of SIS and CICE as Sea Ice Components in BCC_CSM on the Simulation of the Arctic Climate

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Journal of Ocean University of China 2019年第3期18卷 553-562页

作者： CHU Min shi Xueli FANG Yongjie ZHANG Lujun WU Tongwen zhou Bing National Climate Center China Meteorological Administration Beijing 100081 China School of Atmospheric Sciences Nanjing University Nanjing 210023 China

Sea ice is a sensitive indicator of climate change and an important component of climate system models. The Los Alamos Sea Ice Model 5.0(CICE5.0) was introduced to the Beijing Climate Center Climate System Model(BCC_CSM) as a new alternative to the Sea Ice Simulator(SIS). The principal purpose of this paper is to analyze the impacts of these two sea ice components on simulations of basic Arctic sea ice, atmosphere, and ocean states. Two sets of experiments were conducted with the same configurations except for the sea ice component used, i.e., SIS and CICE. The distributions of sea ice concentration and thickness reproduced by the CICE simulations in both March and September were closer to actual observations than those reproduced by SIS simulations, which presented a very thin sea ice cover in September. Changes in sea ice conditions also brought about corresponding modifications to the atmosphere and ocean circulation. CICE simulations showed higher agreement with the reference datasets than did SIS simulations for surface air temperature, sea level pressure, and sea surface temperature in most parts of the Arctic Ocean. More importantly, compared with simulations with SIS, BCC_CSM with CICE revealed stronger Atlantic meridional overturning circulation(AMOC), which is more consistent with actual observations. Thus, CICE shows better performance than SIS in BCC_ CSM. However, both components demonstrate a number of common weaknesses, such as overestimation of the sea ice cover in winter, especially in the Nordic Sea and the Sea of Okhotsk. Additional studies and improvements are necessary to develop these components further.

关键词： BCC_CSM CICE SIS sea ice Arctic climate

血清APRIL、LRG1、Syndecan-1与脓毒症合并急性肾损伤患者肾功能和短期预后的关系

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现代生物医学进展 2024年第17期24卷 3365-3370页

作者：刘玮周倩宋振华徐杰李剑济南市第五人民医院重症医学科山东济南250022

目的:探讨血清增殖诱导配体(APRIL)、富亮氨酸α-2糖蛋白-1(LRG1)、多配体蛋白聚糖-1(Syndecan-1)与脓毒症合并急性肾损伤(AKI)患者肾功能和短期预后的关系。方法:选取济南市第五人民医院于2021年1月~2023年1月收治的247例脓毒症患者,... 详细信息

目的:探讨血清增殖诱导配体(APRIL)、富亮氨酸α-2糖蛋白-1(LRG1)、多配体蛋白聚糖-1(Syndecan-1)与脓毒症合并急性肾损伤(AKI)患者肾功能和短期预后的关系。方法:选取济南市第五人民医院于2021年1月~2023年1月收治的247例脓毒症患者,根据是否合并AKI分为非AKI组(122例)和AKI组(125例),根据30d临床结局将脓毒症合并AKI患者分为死亡组和存活组。采用酶联免疫吸附法检测血清APRIL、LRG1、Syndecan-1,并计算肾功能指标[尿白蛋白/肌酐比(UACR)、估计的肾小球滤过率(eGFR)]。Spearman相关性分析血清APRIL、LRG1、Syndecan-1与脓毒症合并AKI患者UACR、eGFR的相关性。多因素Logistic回归分析脓毒症合并AKI患者短期预后的影响因素,受试者工作特征(ROC)曲线分析血清APRIL、LRG1、Syndecan-1水平对脓毒症合并AKI患者短期预后的预测价值。结果:AKI组血清APRIL、LRG1、Syndecan-1水平和UACR高于非AKI组,eGFR低于非AKI组(P<0.05)。Spearman相关性分析显示,血清APRIL、LRG1、Syndecan-1与脓毒症合并AKI患者UACR呈正相关,与eGFR呈负相关(P<0.05)。125例脓毒症合并AKI患者30d死亡率为40.80%。死亡组血清APRIL、LRG1、Syndecan-1水平和UACR高于存活组,eGFR低于存活组(P<0.05)。多因素Logistic回归分析显示,急性生理和慢性健康评估Ⅱ(APACHEⅡ)评分增加、序贯器官衰竭评估(SOFA)评分增加和UACR、APRIL、LRG1、Syndecan-1升高为脓毒症合并AKI患者短期预后的独立危险因素,eGFR升高为独立保护因素(P<0.05)。血清APRIL、LRG1、Syndecan-1水平联合预测的曲线下面积为0.908,大于血清APRIL、LRG1、Syndecan-1水平单独预测。结论:血清APRIL、LRG1、Syndecan-1水平升高与脓毒症合并AKI患者肾功能降低密切相关,是脓毒症合并AKI患者短期预后不良的独立危险因素。血清APRIL、LRG1、Syndecan-1水平联合预测脓毒症合并AKI患者短期预后的价值较高。

关键词：脓毒症急性肾损伤 APRIL LRG1 Syndecan-1 短期预后

Transcriptional response of porcine skeletal muscle to feeding a linseed-enriched diet to growing pigs

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Journal of Animal Science and Biotechnology 2016年第2期7卷 238-247页

作者： Hongkui Wei Yuanfei zhou Shuzhong jiang Feiruo Huang jian Peng Siwen jiang Department of Animal Nutrition and Feed Science College of Animal Science and Technology Huazhong Agricultural University Key Lab of Agricultural Animal Genetics Breeding and Reproduction of Ministry of Education & Key Lab of Swine Genetics and Breeding of Ministry of Agriculture Huazhong Agricultural University

Background： To investigate the effect of feeding a linseed-enriched diet to growing-finishing pigs on gene expression in skeletal muscle, pigs were fed with a linseed-enriched diet for 0, 30, 60 and 90 d. Transcriptional profiles of longissimus dorsi muscle were measured using Affymetrix ***： Results showed that 264 genes were identified as differentially expressed genes（DEGs）. The strongest transcriptional response was clearly observed at 30 d. DEGs were assigned to several main functional terms,including transcription, apoptosis, intracellular receptor-mediated signaling, muscle organ development, fatty acid metabolic process, cell motion, regulation of glucose metabolic process, spermatogenesis and regulation of myeloid cell differentiation. We also found that transcriptional changs of several transcription cofactors might contribute to n-3 PUFAs regulated gene expression. In addition, the increased expression of IGF-1, insulin signaling pathway and the metabolism of amino acids might involve in the muscle growth induced by feeding a linseedenriched diet. The results also provide the new evidence that the expression changes of PTPN1, HK2 and PGC-1αmight contribute to the regulation of insulin sensitivity by n-3 ***： Our finding provided correlative evidence that feeding the linseed enriched diet affact expression of genes involved in insulin signaling pathway and the metabolism of amino acids.

关键词： Linseed m RNA expression n-3 PUFAs Skeletal muscle