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PLANT AND ANIMAL DIVERSITY AT THE RED HILL FOSSIL SITE,NORTH-CENTRAL PENNSYLVANIA, USA, AND IMPLICATIONS FOR ENVIRONMENTAL INTERACTIONS IN THE LATE DEVONIAN

PLANT AND ANIMAL DIVERSITY AT THE RED HILL FOSSIL SITE,NORTH...

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第二届国际古生物学大会

作者： Walter L.CRESSLER Ⅲ Edward B.DAESCHLER francis harvey green library 29 West Rosedale Avenue West Chester University of PennsylvaniaWest Chester PA 19383 USA Vertebrate Zoology Academy of Natural Sciences 1900 Benjamin Franklin ParkwayPhiladelphia PA 19103 USA

Palaeoecological analyses conducted at the Late Devonian (Famennian 2c) Red Hill fossil locality in north-central Pennsylvania, USA, reinforces evidence that by this time interval plants were an increasing influence on the dynamics of floodplain ecosystems, contributed to landscapes with new ecological opportunities for invertebrate and vertebrate faunas, and had the potential to influence global processes.

关键词： Late Devonian palaeoecology plants tetrapods

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Social and geographical disparities in Twitter use during Hurricane harvey

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International Journal of Digital Earth 2019年第11期12卷 1300-1318页

作者： Lei Zou Nina S.N.Lam Shayan Shams Heng Cai Michelle A.Meyer Seungwon Yang Kisung Lee Seung-Jong Park Margaret A.Reams Department of Geography College StationTXUSA Department of Environmental Sciences Louisiana State UniversityBaton RougeLAUSA Division of Computer Science and Engineering Center for Computation and TechnologyLouisiana State UniversityBaton RougeLAUSA Department of Sociology Louisiana State UniversityBaton RougeLAUSA Department of Landscape Architecture and Urban Planning Texas A&M UniversityCollege StationTXUSA School of library and Information Science Center for Computation and TechnologyLouisiana State UniversityBaton RougeLAUSA

Socialmedia such as Twitter is increasingly beingused as an effective platform to observe human behaviors in disastrous ***,uneven social media use among different groups of population in different regions could lead to biased consequences and affect disaster *** paper studies the Twitter use during 2017 Hurricane harvey in 76 counties in Texas and *** seek to answer a fundamental question:did socialgeographical disparities of Twitter use exist during the three phases of emergency management(preparedness,response,recovery)?We employed a Twitter data mining framework to process the data and calculate two indexes:Ratio and *** analyses between the Ratio indexes and the social-geographical characteristics of the counties at the three phrases reveal significant social and geographical disparities in Twitter use during Hurricane *** with higher disasterrelated Twitter use in harvey generally were communities having better social and geographical *** results of Twitter use patterns can be used to compare with future similar studies to see whether the Twitter use disparities have increased or *** research is also needed to examine the effects of Twitter use disparities on disaster resilience and to test whether Twitter use can predict community resilience.

关键词： Social media Twitter Hurricane harvey emergency management digital divide social and geographical disparities

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Prediction of mortality among patients with chronic kidney disease:A systematic review

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World Journal of Nephrology 2021年第4期10卷 59-75页

作者： Panupong Hansrivijit Yi-Ju Chen Kriti Lnu Angkawipa Trongtorsak Max M Puthenpura Charat Thongprayoon Tarun Bathini Michael A Mao Wisit Cheungpasitporn Department of Internal Medicine UPMC PinnacleHarrisburgPA 17104United States Department of Internal Medicine Amita Health Saint Francis HospitalEvanstonIL 60202United States Department of Medicine Drexel University College of MedicinePhiladelphiaPA 19129United States Division of Nephrology and Hypertension Department of MedicineMayo ClinicRochesterMN 55905United States Department of Internal Medicine University of ArizonaTucsonAZ 85721United States Division of Nephrology and Hypertension Mayo ClinicJacksonvilleFL 32224United States

BACKGROUND Chronic kidney disease(CKD)is a common medical condition that is increasing in *** published evidence has revealed through regression analyses that several clinical characteristics are associated with mortality in CKD ***,the predictive accuracies of these risk factors for mortality have not been clearly *** To demonstrate the accuracy of mortality predictive factors in CKD patients by utilizing the area under the receiver operating characteristic(ROC)curve(AUC)*** We searched Ovid MEDLINE,EMBASE,and the Cochrane library for eligible articles through January *** were included based on the following criteria:(1)Study nature was observational or conference abstract;(2)Study populations involved patients with non-transplant CKD at any CKD stage severity;and(3)Predictive factors for mortality were presented with AUC analysis and its associated 95%confidence interval(CI).AUC of 0.70-0.79 is considered acceptable,0.80-0.89 is considered excellent,and more than 0.90 is considered *** Of 1759 citations,a total of 18 studies(n=14579)were included in this systematic *** hundred thirty two patients had non-dialysis CKD,and 13747 patients had dialysis-dependent CKD(2160 patients on hemodialysis,370 patients on peritoneal dialysis,and 11217 patients on non-differentiated dialysis modality).Of 24 mortality predictive factors,none were deemed outstanding for mortality prediction.A total of seven predictive factors[N-terminal pro-brain natriuretic peptide(NT-proBNP),BNP,soluble urokinase plasminogen activator receptor(suPAR),augmentation index,left atrial reservoir strain,C-reactive protein,and systolic pulmonary artery pressure]were identified as *** predictive factors were in the acceptable range,which we classified into the following subgroups:predictors for the non-dialysis population,echocardiographic factors,comorbidities,and *** Several fac

关键词： Chronic kidney disease End stage kidney disease End stage renal disease Dialysis Mortality Death Predictors

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Hepatitis E in solid organ transplant recipients:A systematic review and meta-analysis

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World Journal of Gastroenterology 2021年第12期27卷 1240-1254页

作者： Panupong Hansrivijit Angkawipa Trongtorsak Max M Puthenpura Boonphiphop Boonpheng Charat Thongprayoon Karn Wijarnpreecha Avishek Choudhury Wisit Kaewput Shennen A Mao Michael A Mao Caroline C Jadlowiec Wisit Cheungpasitporn Department of Internal Medicine UPMC PinnacleHarrisburgPA 17104United States Department of Internal Medicine Amita Health Saint Francis HospitalEvanstonIL 60202United States Department of Medicine Drexel University College of MedicinePhiladelphiaPA 19129United States David Geffen School of Medicine University of CaliforniaLos AngelesDivision of NephrologyLos AngelesCA 90095United States Department of Internal Medicine Mayo ClinicRochesterMN 55905United States Department of Gastroenterology and Hepatology Mayo Clinic College of MedicineJacksonvilleFL 32224United States School of Systems and Enterprises Stevens Institute of TechnologyHobokenNJ 07030United States Department of Military and Community Medicine Phramongkutklao College of MedicineBangkok 10400Thailand Department of Transplant Surgery Mayo ClinicJacksonvilleFL 32224United States Department of Nephrology and Hypertension Mayo ClinicJacksonvilleFL 32224United States Department of Transplant Center Mayo ClinicScottsdaleAZ 85259United States Department of Medicine Mayo ClinicRochesterMN 55905United States

BACKGROUND Hepatitis E virus(HEV)infection is underdiagnosed due to the use of serological assays with low *** most patients with HEV recover completely,HEV infection among patients with pre-existing chronic liver disease and organ-transplant recipients on immunosuppressive therapy can result in decompensated liver disease and *** To demonstrate the prevalence of HEV infection in solid organ transplant(SOT)*** We searched Ovid MEDLINE,EMBASE,and the Cochrane library for eligible articles through October *** inclusion criteria consisted of adult patients with history of *** infection is confirmed by either HEV-immunoglobulin G,HEV-immunoglobulin M,or HEV RNA *** Of 563 citations,a total of 22 studies(n=4557)were included in this *** pooled estimated prevalence of HEV infection in SOT patients was 20.2%[95%confidence interval(CI):14.9-26.8].The pooled estimated prevalence of HEV infection for each organ transplant was as follows:liver(27.2%;95%CI:20.0-35.8),kidney(12.8%;95%CI:9.3-17.3),heart(12.8%;95%CI:9.3-17.3),and lung(5.6%;95%CI:1.6-17.9).Comparison across organ transplants demonstrated statistical significance(Q=16.721,P=0.002).The subgroup analyses showed that the prevalence of HEV infection among SOT recipients was significantly higher in middle-income countries compared to high-income *** pooled estimated prevalence of de novo HEV infection was 5.1%(95%CI:2.6-9.6)and the pooled estimated prevalence of acute HEV infection was 4.3%(95%CI:1.9-9.4).CONCLUSION HEV infection is common in SOT recipients,particularly in middle-income *** prevalence of HEV infection in lung transplant recipients is considerably less common than other organ *** studies examining the clinical impacts of HEV infection in SOT recipients,such as graft failure,rejection,and mortality are warranted.

关键词： Hepatitis E virus Hepatitis E virus infection Solid organ transplant Prevalence

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