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Analyzing the effect of earthquakes on OpenStreetMap contribution patterns and tweeting activities

Geo-Spatial Information Science 2018年第3期21卷 195-212页

作者： Ahmed Ahmouda hartwig h.hochmair Sreten Cvetojevic Geomatics Program Fort Lauderdale Research and Education CenterUniversity of FloridaFloridaFort LauderdaleUSA

Natural disasters,such as wildfires,earthquakes,landslides,or floods,lead to an increase in topical information shared on social media and in increased mapping activities in volunteered geographic information(VGI)*** earthquakes in Nepal and Central Italy as case studies,this research analyzes the effects of natural disasters on short-term(weeks)and longer-term(half year)changes in OpenStreetMap(OSM)mapping behavior and tweet activities in the affected *** increase of activities in OSM during the events can be partially attributed to those focused OSM mapping campaigns,for example,through the humanitarian OSM Team(hOT).Using source tags in OSM change-sets,it was found that only a small portion of external mappers actually travels to the affected regions,whereas the majority of external mappers relies on desktop mapping ***,the study analyzes the spatio-temporal sequence of posted tweets together with keyword filters to identify a subset of users who most likely traveled to the affected regions for support and rescue *** also explores where,geographically,earthquake information spreads within social networks.

关键词： Volunteered geographic information(VGI) OpenStreetMap(OSM) Twitter natural disaster human dynamics

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Where to catch'em all?-a geographic analysis of Pokémon Go locations

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Geo-Spatial Information Science 2017年第3期20卷 241-251页

作者： Levente Juhász hartwig h.hochmair Geomatics Program University of FloridaFort LauderdaleFLUSA

In 2016,Niantic Labs released Pokémon Go,an augmented reality smartphone game that attracted millions of users *** game allows users to“catch”Pokémons through their mobile cameras in different geographic locations that often correspond to prominent *** paper analyzes the distribution of PokéStops,Pokémon gyms,and spawnpoints in selected urban areas of South Florida and *** identifies which socioeconomic variables and landuse categories affect the density of PokéStops,and how PokéStops and gyms cluster relative to each *** nearest neighbor analysis,this paper assesses also how actual PokéStop locations are reflected in Yelp’s“PokéStop nearby”*** show that black and hispanic neighborhoods are disadvantaged when it comes to crowd-sourced data coverage,that PokéStops occur more frequently in commercial,recreational and touristic sites and around universities,and that PokéStops tend to cluster around *** latter suggests that these point sets were generated by a similar location selection *** mitigate geographically linked biases,future versions of augmented reality and geo-games should aim to make them equally accessible in all areas,for example by placing extra resources,such as points of interest,in neighborhoods that are currently underrepresented in data coverage.

关键词： Pokémon Go VGI(Volunteered Geographic Information) Yelp cluster South Florida Boston hCl(human-computer interaction)

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培美曲塞加铂类联合或不联合帕博利珠单抗对初治转移性非鳞状NSCLC患者的疗效与安全性分析：KEYNOTE-189研究方案指定的最终分析

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中国肺癌杂志 2022年第6期25卷 443-456页

作者：周彩存 Delvys RODRíGUEZ-ABREU S.F.POWELL M.J.hochmair S.GAD GEEL E.ESTEBAN E.FELIP G.SPERANZA F.De ANGELIS M.DóMINE S.Y.ChENG h.G.BISChOFF N.PELED M.RECK R.hUI E.B.GARON M.BOYER T.KURATA J.YANG M.C.PIETANZA F.SOUZA M.C.GARASSINO 同济大学附属上海市肺科医院肿瘤科 Medical Oncology Complejo Hospitalario Universitario Insular Materno-Infantil de Gran CanariaUniversidad de Las Palmas de Gran Canaria Oncology Sanford Health 4. Department of Respiratory and Critical Care MedicineKarl Landsteiner Institute of Lung Research and Pulmonary Oncology Thoracic Oncology Karmanos Cancer InstituteWayne State University Department of Medical Oncology Hospital Universitario Central de Asturias Medical Oncology Department Vall d'Hebron UniversityVall d'Hebron Institute of Oncology (VHIO) 8. Centre Integre de Cancerologie de la MontérégieH?pital Charles-Le Moyne 9. Medical Oncology DepartmentHospital Universitario Fundacidn Jiménez DiazIIS-FJD Sunnybrook health Sciences Centre Thoraxklinik Heidelberg Department of Oncology Shaare Zedek Medical Center LungenClinic Airway Research Center NorthGerman Center for Lung Research Department of Medical Oncology Westmead Hospital and University of Sydney Department of Medicine David Geffen School of Medicine at UCLA Department of Medical Oncology Chris O'Brien Lifehouse Department of Thoracic Oncology Kansai Medical University Hospital Merck & Co. Inc. Fondazione IRCCS Istituto Nazionale dei Tumori University of Chicago Medicine & Biological Sciences Knapp Center for Biomedical Discovery

背景在KEYNOTE-189此项Ⅲ期研究(NCT02578680)中,与安慰剂联合培美曲塞加铂类相比,帕博利珠单抗联合培美曲塞加铂类化疗(培美曲塞-铂类)显著改善了初治转移性非鳞状非小细胞肺癌(non-small cell lung cancer,NSCLC)患者的总生存期(over... 详细信息

背景在KEYNOTE-189此项Ⅲ期研究(NCT02578680)中,与安慰剂联合培美曲塞加铂类相比,帕博利珠单抗联合培美曲塞加铂类化疗(培美曲塞-铂类)显著改善了初治转移性非鳞状非小细胞肺癌(non-small cell lung cancer,NSCLC)患者的总生存期(overall survival,OS)和无进展生存期(progression-free survival,PFS)。本研究报告了研究方案指定的最终分析的疗效结局,包括从培美曲塞-铂类交叉至帕博利珠单抗治疗的患者,以及完成35个周期(约2年)帕博利珠单抗治疗组的疗效。方法符合条件的患者以2:1随机分配至帕博利珠单抗,每3周一次,200 mg (n=410)或安慰剂(n=206)(共35周期,约2年),加上4个周期的培美曲塞(500 mg/m~2)和由研究者选择的每3周顺铂(75 mg/m~2)或卡铂(曲线下面积5 mg/min/mL)治疗,随后使用培美曲塞直至疾病进展。若符合纳入标准,分配至安慰剂联合培美曲塞加铂类治疗的患者可在疾病进展时转向帕博利珠单抗治疗。主要研究终点为OS和PFS。结果中位随访31.0个月,无论PD-L1的表达水平如何,与安慰剂联合培美曲塞-铂类治疗相比,帕博利珠单抗联合培美曲塞-铂类治疗可使患者的OS[风险比(hazard ratio,hR)为0.56;95%可信区间(confidence interval,CI) 0.46-0.69]和PFS (hR=0.49;95%CI:0.41-0.59)显著获益。接受帕博利珠单抗联合培美曲塞-铂类治疗的患者客观缓解率(objective response rate,ORR)(48.3%vs 19.9%)和第二次/后续无进展生存期(PFS2;hR=0.50;95%CI:0.41-0.61)均得到改善。安慰剂联合培美曲塞-铂类组的84例患者(40.8%)交叉至帕博利珠单抗治疗组。72.1%的接受帕博利珠单抗联合培美曲塞-铂类的患者和66.8%的接受安慰剂联合培美曲塞-铂类的患者发生了3级-5级不良事件。56例患者完成了35个周期(约2年)的帕博利珠单抗治疗;ORR为85.7%,53例(94.6%)患者存活至数据截止时间。结论与安慰剂联合培美曲塞-铂类治疗相比,帕博利珠单抗联合培美曲塞-铂类可持续提高疗效,且安全性可控。该研究结果支持将帕博利珠单抗联合培美曲塞-铂类作为初治转移性非鳞状NSCLC患者的一线治疗方案。

关键词：帕博利珠单抗化疗非鳞状非小细胞肺癌

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