检索结果-南通市图书馆

维普期刊数据库

Automated Cell Detection and Morphometry on Growth Plate Images of Mouse Bone

在线全文

学校读者我要写书评

暂无评论

Applied Mathematics 2014年第18期5卷 2866-2880页

作者： maria-grazia Ascenzi Xia Du James I. Harding Emily N. Beylerian Brian M. de Silva Ben J. Gross Hannah K. Kastein Weiguang Wang Karen M. Lyons Hayden Schaeffer Department of Orthopaedic Surgery University of California Los Angeles California USA Department of Mathematics University of California Los Angeles California USA Department of Mathematics University of California Irvine California USA

Microscopy imaging of mouse growth plates is extensively used in biology to understand the effect of specific molecules on various stages of normal bone development and on bone disease. Until now, such image analysis has been conducted by manual detection. In fact, when existing automated detection techniques were applied, morphological variations across the growth plate and heterogeneity of image background color, including the faint presence of cells (chondrocytes) located deeper in tissue away from the image’s plane of focus, and lack of cell-specific features, interfered with identification of cells. We propose the first method of automated detection and morphometry applicable to images of cells in the growth plate of long bone. Through ad hoc sequential application of the Retinex method, anisotropic diffusion and thresholding, our new cell detection algorithm (CDA) addresses these challenges on bright-field microscopy images of mouse growth plates. Five parameters, chosen by the user in respect of image characteristics, regulate our CDA. Our results demonstrate effectiveness of the proposed numerical method relative to manual methods. Our CDA confirms previously established results regarding chondrocytes’ number, area, orientation, height and shape of normal growth plates. Our CDA also confirms differences previously found between the genetic mutated mouse Smad1/5CKO and its control mouse on fluorescence images. The CDA aims to aid biomedical research by increasing efficiency and consistency of data collection regarding arrangement and characteristics of chondrocytes. Our results suggest that automated extraction of data from microscopy imaging of growth plates can assist in unlocking information on normal and pathological development, key to the underlying biological mechanisms of bone growth.

关键词： Anisotropic Diffusion Cell Detection Growth Plate Mouse Retinex

可手术乳腺癌CMF辅助化疗随机研究的30年随访:队列研究

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

英国医学杂志中文版 2005年第3期8卷 148-151页

作者： Gianni Bonadonna Angela Moliterni Milvia Zambetti maria grazia Daidone Silvana Pilotti Luca Gianni Pinuccia Valagussa 樊英 Istituto Nazionale Tumori 20133 Milano Italy

目的根据1973年6月至1980年12月期间的3项连续随机试验和1项观察研究,评价有复发风险的可手术乳腺癌患者使用环磷酰胺、甲氨蝶呤和氟尿嘧啶(CMF)辅助治疗的长期有效性。设计队列研究。地点意大利米兰国家肿瘤研究所。主要结局指标无复... 详细信息

目的根据1973年6月至1980年12月期间的3项连续随机试验和1项观察研究,评价有复发风险的可手术乳腺癌患者使用环磷酰胺、甲氨蝶呤和氟尿嘧啶(CMF)辅助治疗的长期有效性。设计队列研究。地点意大利米兰国家肿瘤研究所。主要结局指标无复发生存和总生存,采用单变量和多变量分析。结果在首项研究随访平均28.5年后,发现辅助CMF能显著降低复发的相对危险度(危险比为0.71,95%可信区间0.56～0.91,P=0.005)并减少死亡(0.79,0.63～0.98,P=0.04)。12个周期的CMF似乎并不优于6个周期的相对短期治疗。在淋巴结和雌激素受体阴性的研究中,平均随访20年后,静脉使用CMF能显著降低疾病复发的相对危险度(0.65,0.47～0.90,P=0.009)以及死亡的相对危险度(0.65,0.470.92,P=0.01)。结论如应用适当,CMF方案能使具有远处复发风险的患者获益,没有证据显示它对任何研究亚组有不良影响。

关键词：队列研究随访随机研究辅助化疗手术相对危险度雌激素受体阴性复发风险 1980年乳腺癌患者意大利米兰多变量分析 CMF方案观察研究随机试验环磷酰胺辅助治疗氟尿嘧啶甲氨蝶呤结局指标可信区间短期治疗

维普期刊数据库

Big Data Analytics for Earth Sciences:the EarthServer approach

在线全文

学校读者我要写书评

暂无评论

International Journal of Digital Earth 2016年第1期9卷 3-29页

作者： Peter Baumann Paolo Mazzetti Joachim Ungar Roberto Barbera Damiano Barboni Alan Beccati Lorenzo Bigagli Enrico Boldrini Riccardo Bruno Antonio Calanducci Piero Campalani Oliver Clements Alex Dumitrua,Mike Grant Pasquale Herzig George Kakaletris John Laxton Panagiota Koltsida Kinga Lipskoch Alireza Rezaei Mahdiraji Simone Mantovani Vlad Merticariu Antonio Messina Dimitar Misev Stefano Natali Stefano Nativi Jelmer Oosthoek Marco Pappalardo James Passmore Angelo Pio Rossi Francesco Rundo Marcus Sen Vittorio Sorbera Don Sullivan Mario Torrisi Leonardo Trovato maria grazia Veratelli Sebastian Wagner Large-Scale Scientific Information Systems Jacobs UniversityBremenGermany Rasdaman GmbH BremenGermany CNR-IIA National Research Council of ItalyInstitute of Atmospheric Pollution ResearchFlorenceItaly EOX IT Services GmbH ViennaAustria Consorzio COMETA CataniaItaly Division of Catania Italian National Institute for Nuclear PhysicsCataniaItaly Department of Physics and Astronomy University of CataniaCataniaItaly MEEO S.r.l. FerraraItaly Plymouth Marine Laboratory PlymouthUK Fraunhofer IGD DarmstadtGermany Athena Research and Innovation Center in Information Communication&Knowledge Technologies AthensGreece British Geological Survey EdinburghUK Software Engineering Italia S.r.l. CataniaItaly British Geological Survey KeyworthUK NASA Ames Research Center Moffett FieldCAUSA

Big Data Analytics is an emerging field since massive storage and computing capabilities have been made available by advanced *** and Environmental sciences are likely to benefit from Big Data Analytics techniques supporting the processing of the large number of Earth Observation datasets currently acquired and generated through observations and ***,Earth Science data and applications present specificities in terms of relevance of the geospatial information,wide heterogeneity of data models and formats,and complexity of ***,Big Earth Data Analytics requires specifically tailored techniques and *** EarthServer Big Earth Data Analytics engine offers a solution for coverage-type datasets,built around a high performance array database technology,and the adoption and enhancement of standards for service interaction(OGC WCS and WCPS).The EarthServer solution,led by the collection of requirements from scientific communities and international initiatives,provides a holistic approach that ranges from query languages and scalability up to mobile access and *** result is demonstrated and validated through the development of lighthouse applications in the Marine,Geology,Atmospheric,Planetary and Cryospheric science domains.

关键词： big data Big Data Analytics array databases Earth Sciences interoperability standards

Machine learning using the extreme gradient boosting (XGBoost) algorithm predicts 5-day delta of SOFA score at ICU admission in COVID-19 patients

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Intensive Medicine 2021年第2期1卷 110-116页

作者： Jonathan Montomoli Luca Romeo Sara Moccia Michele Bernardini Lucia Migliorelli Daniele Berardini Abele Donati Andrea Carsetti maria grazia Bocci Pedro David Wendel Garcia Thierry Fumeaux Philippe Guerci Reto Andreas Schüpbach Can Ince Emanuele Frontoni Matthias Peter Hilty RISC-19-ICU Investigators Department of Anaesthesia and Intensive Care Infermi HospitalAUSL della RomagnaRimini 47923Italy Department of Information Engineering UniversitàPolitecnica delle MarcheAncona 60131Italy The BioRobotics Institute and Department of Excellence in Robotics and AI Scuola Superiore Sant’AnnaPisa 56127Italy Anesthesia and Intensive Care Unit Azienda Ospedaliero Universitaria Ospedali RiunitiAncona 60126Italy Department of Biomedical Sciences and Public Health UniversitàPolitecnica delle MarcheAncona 60126Italy Department of Anaesthesia and Intensive Care Fondazione Policlinico Universitario A.Gemelli IRCCSUniversitàCattolica del Sacro CuoreRome 00168Italy Institute of Intensive Care Medicine University Hospital of ZurichZurich 8091Switzerland Swiss Society of Intensive Care Medicine Basel 4001Switzerland Department of Anesthesiology and Critical Care Medicine University Hospital of NancyNancy 54511France Department of Intensive Care Erasmus MC University Medical Center RotterdamRotterdam3015 GDNetherlands 不详

Background:Accurate risk stratification of critically ill patients with coronavirus disease 2019(COVID-19)is essential for optimizing resource allocation,delivering targeted interventions,and maximizing patient survival *** learning(ML)techniques are attracting increased interest for the development of prediction models as they excel in the analysis of complex signals in data-rich environments such as critical ***:We retrieved data on patients with COVID-19 admitted to an intensive care unit(ICU)between March and October 2020 from the RIsk Stratification in COVID-19 patients in the Intensive Care Unit(RISC-19-ICU)*** applied the Extreme Gradient Boosting(XGBoost)algorithm to the data to predict as a binary out-come the increase or decrease in patients’Sequential Organ Failure Assessment(SOFA)score on day 5 after ICU *** model was iteratively cross-validated in different subsets of the study ***:The final study population consisted of 675 *** XGBoost model correctly predicted a decrease in SOFA score in 320/385(83%)critically ill COVID-19 patients,and an increase in the score in 210/290(72%)*** area under the mean receiver operating characteristic curve for XGBoost was significantly higher than that for the logistic regression model(0.86 vs.0.69,P<0.01[paired t-test with 95%confidence interval]).Conclusions:The XGBoost model predicted the change in SOFA score in critically ill COVID-19 patients admitted to the ICU and can guide clinical decision support systems(CDSSs)aimed at optimizing available resources.

关键词： Machine learning Extreme gradient boosting(XGBoost) COVID-19 Multiple organ failure Clinical decision support system(CDSS) Organ dysfunction score

Boceprevir or telaprevir in hepatitis C virus chronic infection:The Italian real life experience

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

World Journal of Hepatology 2016年第22期8卷 949-956页

作者： Antonio Ascione Luigi Elio Adinolfi Pietro Amoroso Angelo Andriulli Orlando Armignacco Tiziana Ascione Sergio Babudieri Giorgio Barbarini Michele Brogna Francesco Cesario Vincenzo Citro Ernesto Claar Raffaele Cozzolongo Giuseppe D’Adamo Emilio D’Amico Pellegrino Dattolo Massimo De Luca Vincenzo De maria Massimo De Siena Giuseppe De Vita Antonio Di Giacomo Rosanna De Marco Giorgio De Stefano Giulio De Stefano Sebastiano Di Salvo Raffaele Di Sarno Nunzia Farella Laura Felicioni Basilio Fimiani Luca Fontanella Giuseppe Foti Caterina Furlan Francesca Giancotti Giancarlo Giolitto Tiziana Gravina Barbara Guerrera Roberto Gulminetti Angelo Iacobellis Michele Imparato Angelo Iodice Vincenzo Iovinella Antonio Izzi Alfonso Liberti Pietro Leo Gennaro Lettieri Ileana Luppino Aldo Marrone Ettore Mazzoni Vincenzo Messina Roberto Monarca Vincenzo Narciso Lorenzo Nosotti Adriano maria Pellicelli Alessandro Perrella Guido Piai Antonio Picardi Paola Pierri grazia Pietromatera Francesco Resta Luca Rinaldi Mario Romano Angelo Rossini Maurizio Russello grazia Russo Rodolfo Sacco Vincenzo Sangiovanni Antonio Schiano Antonio Sciambra Gaetano Scifo Filomena Simeone Annarita Sullo Pierluigi Tarquini Paolo Tundo Alfredo Vallone Depart-ment of Medicine Center for Liver Diseases "Buon Consiglio" -Fatebenefratelli Hospital Internal Medicine Unit Second University of Naples VI Division of Infectious Diseases Cotugno Hospital AORN "Ospedali dei Colli" Division of Gastro- enterology Casa Sollievo Sofferenza Hospital IRCCS Division of Infectious Diseases Belcolle Hospital IX Division of Infectious Diseases Cotugno Hospital AORN "Ospedali dei Colli" Clinical of Infectious Disease University of Sassari Infectious Disease IRCCS San Matteo Division of Infectious Diseases and Liver Unit "G. Iazzolino" Hospital Division of Infectious Diseases "Annunziata" Hospital Depart-ment of Internal Medicine Umberto I Hospital Internal Medicine Ospedale Evangelico Villa Betania Division of Gastroenterology IRCCS "S.de Bellis" Hospital Internal Medicine Unit Pescara-Penne Hospital Gastroenterology Unit Marcianise Hospital Liver Unit AORN Cardarelli Liver Unit Policlinico "Mater Domini" Service of Medical Day Hospital "Rummo" Hospital Internal Medicine Regina Margherita Hospital Division of Gastroenterology "Annunziata" Hospital Infectious Disease Matera Hospital First Division of Infectious Diseases Cotugno Hospital AORN "Ospedali dei Colli" Division of Infectious Diseases AO Melacrino- Bianchi-Morelli Infectious and Tropical Disease Policlinico Umberto I Division of Infectious Disease Maria SS Addolorata Hospital Division of Infectious Diseases S. Anna and S. Sebastiano Hospital Outpatients Service for Liver Diseases "Loreto Crispi" Hospital V Division of Infectious Diseases Cotugno Hospital AORN "Ospedali dei Colli" Department of Medical Surgical Neurological Geriatric and Metabolic Sciences Second Univer-sity of Naples Liver Unit Policlinico Casilino Medicine and Health Unit for Prisoners Belcolle Hospital Internal Medicine Unit "Ascalesi" Hospital Gastrointestinal and Liver Department National Institute for Health Migration and Poverty Liver Unit Azienda Ospedaliera San Camillo Forlanini VII Division of Infectious Diseases

AIM: To check the safety and efficacy of boceprevir/telaprevir with peginterferon/ribavirin for hepatitis C virus(HCV) genotype 1 in the real-world settings. METHODS: This study was a non-randomized, observational, prospective, multicenter. This study involved 47 centers in Italy. A database was prepared for the homogenous collection of the data, was used by all of the centers for data collection, and was updated continuously. All of the patients enrolled in this study were older than 18 years of age and were diagnosed with chronic infection due to HCV genotype 1. The HCV RNA testing was performed using COBAS-Taq Man2.0(Roche, LLQ 25 IU/m L). RESULTS: All consecutively treated patients were included. Forty-seven centers enrolled 834 patients as follows: Male 64%; median age 57(range 18-78), of whom 18.3% were over 65; mean body mass index 25.6(range 16-39); genotype 1b(79.4%); diagnosis of cirrhosis(38.2%); and fibrosis F3/4(71.2%). The following drugs were used: Telaprevir(66.2%) and PEG-IFN-alpha2a(67.6%). Patients were na?ve(24.4%), relapsers(30.5%), partial responders(14.8%) and null responders(30.3%). Overall, adverse events(AEs) occurred in 617 patients(73.9%) during the treatment. Anemia was the most frequent AE(52.9% of cases), especially in cirrhotic. The therapy was stopped for 14.6% of the patients because of adverse events or virological failure(15%). Sustained virological response was achieved in 62.7% of the cases, but was 43.8% in cirrhotic patients over 65 years of age. CONCLUSION: In everyday practice, triple therapy is safe but has moderate efficacy, especially for patients over 65 years of age, with advanced fibrosis, nonresponders to peginterferon + ribavirin.

关键词： Boceprevir Telaprevir Chronic hepatitis Antiviral therapy Peg-interferon Ribavirin

HER2-based recombinant immunogen to target DCs through FcγRs for cancer immunotherapy

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

世界最新医学信息文摘 2015年第5期 7-7页

作者： Ilaria grazia Zizzari Filippo Veglia Federica Taurino Hassan Rahimi Elena Quaglino Francesca Belleudi Federica Riccardo Morena Antonilli Chiara Napoletano Filippo Bellati Pierluigi Benedetti-Panici maria Rosaria Torrisi Luigi Frati marianna Nuti Aurelia Rughetti

Dendritic cell(DC)-based immunotherapy is an attractive approach to induce long lasting antitumor effector cells aiming to control cancer progression. DC targeting is a critical step in the design of DC vaccines in order to optimize delivery and processing of the antigen, and several receptors have been characterized for this purpose. In this study, we employed the FcγRs to target DCs both in vitro and in vivo. We designed a recombinant molecule(HER2- Fc) composed of the immunogenic sequence of the human tumor-associated antigen HER2(aa 364–391) and the Fc domain of a human Ig G1. In a mouse model, HER2-Fc c DNA vaccination activated significant T cell-mediated immune responses towards HER2 peptide epitopes as detected by IFN-γ ELIspot and induced longer tumor latency as compared to Ctrl-Fc-vaccinated control mice. Human in vitro studies indicated that the recombinant HER2-Fc immunogen efficiently targeted human DCs through the FcγRs resulting in protein cross-processing and in the activation of autologous HER2-specific CD8+ T cells from breast cancer patients.

关键词： Dendritic cells Cancer immunotherapy HER2 Antigen processing FcγR Dendritic cell targeting

蕈样肉芽肿和Sezary综合征分类和分期的修订方案——国际皮肤淋巴瘤学会和欧洲癌症研究治疗特别工作组的建议（待续）

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

白血病．淋巴瘤 2008年第6期17卷 466-468页

作者： Elise Olsen Eric Vonderheld Nieola Pimpinelli Rein Willemze Youn Kim Robert Knobler Herschel Zackheim Madeleine Duvic Teresa Estraeh Stanford Lamberg Gary Wood Reinhard Dummer Annamari Ranki Gunter Burg Peter Heald Mark Pittelkow maria-grazia Bernengo Wolfram Sterry Liliane Laroche Franz Trautinger Sean Whittaker 张培红(译) 陈辉树(审校) Department of Medicine Divisions of Dermatology and Oncology Duke University Medical Center Durham NC Department of Dermatology Johns Hopkins University Baltimore MD Department of Dermatological Sciences University of Florence Florence haly Department of Dermatology Leiden University Medical CenterLeiden The Netherlands Department of Dermatology Stanford University Medical Center Stanford CA Department of Dermatology University of Vienna Vienna Austria Department of Dermatology University of Californiaat San Francisco Department of Dermatology University of Texasat Houston Department of Dermatology University of Barcelona Barcelona Spain Department of Dermatology. University of Wisconsin Madison Department of Dermatology University Hospital Zurich Zurich Switzerland Department of Dermatology and Venereal Diseases Helsinki University Hospital Helsinki Finland Department of Dermatology Yale University New Haven CT Department of Dermatology Mayo CLinic Rochester MN Department of Dermatology University of Turin Turin Italy Department of Dermatology Charit e Humboldt University Berlin Germany Department of fmmuno-Dermatology Hospital Avicenne-University of Paris XIII Paris France St John's Institute of Dermatology Skin Tumour Unit St Thomas' Hospital London United Kingdom 不详

ISCL／EORTC推荐蕈样肉芽肿协作组使用皮肤T细胞淋巴瘤（Cutaneous T-cell lymphoma，CTCL）分类及分期修订方案。这个修订方案吸收了自1979年最初的指南发表以来的有关蕈样肉芽肿（Mycosis Fungoides，MF）和Sezary综合征（Sezary synd... 详细信息

ISCL／EORTC推荐蕈样肉芽肿协作组使用皮肤T细胞淋巴瘤（Cutaneous T-cell lymphoma，CTCL）分类及分期修订方案。这个修订方案吸收了自1979年最初的指南发表以来的有关蕈样肉芽肿（Mycosis Fungoides，MF）和Sezary综合征（Sezary syndrome，SS）肿瘤细胞生物学和诊断技术的进展，明确目前影响研究机构和调查者之间有效交流和（或）MF及SS标准化临床实验发展的某些指标，而且为追踪其他有潜在预后意义的指标提供了一个平台。此外，鉴于皮肤淋巴瘤中非MF／非SS亚型预后和临床特点的差异，本方案是特别针对MF和SS的。除了对本修订方案的评估和分期程序做出推荐外，该文还对修订方案的论据做了讨论。

关键词： Sezary综合征蕈样肉芽肿修订方案皮肤淋巴瘤分类工作组皮肤T细胞淋巴瘤 lymphoma

维普期刊数据库

在线全文

学校读者我要写书评

暂无评论

β阻滞剂在心衰病人中的不同作用(摘要)

岭南心血管病杂志 2001年第2期 150-150页

作者： Mar cometra,MD,Raffaele Giubbini,MD,Savina nodari,MD,Emiliano Boldi,MD,maria grazia Modena,MD,Livio Dei Cas,MD,易家骥广州医学院第一附属医院心内科