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| 1 | The influence of wood flour particle size and content on the rheological, physical, mechanical and morphological properties of EVA/wood cellular composites显示文摘 | Matheus V.G. Zimmermann Taís C. Turella Ruth M.C. Santana Ademir J. Zattera | 2014 | Materials and Design2014，，： | 1 |
| 2 | Electrical and rheological percolation in poly(vinylidene fluoride)/multi-walled carbon nanotube nanocomposites显示文摘 | Johnny N Martins Taís S Bassani Guilherme MO Barra | 2011 | Polymer International2011，60，3： | 1 |
| 3 | Evaluation of psychoacoustic tests and P300 event-related potentials in elderly patients with hyperhomocysteinemia显示文摘 | Díaz-Leines S Pealoza-López YR Serrano-Miranda TA | 2013 | Acta Otorrinolaringol Esp2013，64，4： | 1 |
| 4 | Body mass index,smoking and hypertensive disorders during pregnancy:a population based case-control study显示文摘 | Gudnadóttir TA Bateman BT Hernádez-Díaz S | 2016 | PLo S ONE2016，11，01： | 1 |
| 5 | A poloxamer/chitosan in situ forming gel with prolonged retention time for ocular delivery显示文摘 | Taís Gratieri Guilherme Martins Gelfuso Eduardo Melani Rocha Victor Hugo Sarmento Osvaldo de Freitas Renata Fonseca Vianna Lopez | 2010 | European Journal of Pharmaceutics and Biopharmaceutics2010，，2： | 1 |
| 6 | Influence of family environment on children’s oral health: a systematic review显示文摘 | Aline Rogéria Freire de Castilho Fábio Luiz Mialhe Taís de Souza Barbosa Regina Maria Puppin-Rontani | 2013 | Jornal de Pediatria (Versao en Portugues)2013，，2： | 1 |
| 7 | Effect of the extract of the tamarind ( Tamarindus indica ) fruit on the complement system: Studies in vitro and in hamsters submitted to a cholesterol-enriched diet显示文摘 | Ana Paula Landi Librandi Taís Nader Chrysóstomo Ana Elisa C.S. Azzolini Carem Gledes Vargas Recchia Sérgio Akira Uyemura Ana Isabel de Assis-Pandochi | 2007 | Food and Chemical Toxicology2007，，8： | 1 |
| 8 | The Loss of Heterozygosity of FHIT Gene in Sporadic Breast Cancer显示文摘function.FHIT is a potential tumor suppressor gene.Although the precise FHIT molecular mechanism of action is not well understood,evidences suggest that Fhit protein reduced levels are involved in mammary carcinogenesis.The aim of this study was to investigate if FHIT LOH could influence on sporadic breast cancer(BC)biological behavior,through its association with prognostic factors for sporadic BC.Tumor tissue and peripheral blood samples were analyzed using the microsatellite marker D3S1300.The findings were associated with clinicopathological parameters including overall survival.LOH was detected in 31.1%(52/167)of the informative BC’cases.Considering clinical and pathological characteristics we have found no significant association with FHIT LOH status.The mean follow-up time was 80 months.After the Cox regression analysis two parameters remained associated with BC’s risk of death:TNM stage III and IV-HR=3.74(95%CI,1.16-12.1)P=0.027 and disease relapse HR=3.14(CI 95%1.26-7.80)P=0.014.This study shows that FHIT LOH by itself is not a prognostic factor for sporadic BC.Further researches are required to elucidate the functional role of FHIT LOH concerning to BC. | Lisiane Silveira Zavalhia Andrea Pires Souto Damin Grasiela Agnes Aline Weber Taís Frederes Kramer Alcalde Laura Marinho Dorneles Guilherme Watte Adriana Vial Roehe | 2021 | Journal of Oncology Research2021，3，2： | 0 |
| 9 | High-throughput phenotyping of two plant-size traits of Eucalyptus species using neural networks显示文摘In forest modeling to estimate the volume of wood,artificial intelligence has been shown to be quite effi-cient,especially using artificial neural networks(ANNs).Here we tested whether diameter at breast height(DBH)and the total plant height(Ht)of eucalyptus can be pre-dicted at the stand level using spectral bands measured by an unmanned aerial vehicle(UAV)multispectral sensor and vegetation indices.To do so,using the data obtained by the UAV as input variables,we tested different configurations(number of hidden layers and number of neurons in each layer)of ANNs for predicting DBH and Ht at stand level for different Eucalyptus species.The experimental design was randomized blocks with four replicates,with 20 trees in each experimental plot.The treatments comprised five Eucalyptus species(E.camaldulensis,E.uroplylla,E.saligna,E.gran-dis,and E.urograndis)and Corymbria citriodora.DBH and Ht for each plot at the stand level were measured seven times in separate overflights by the UAV,so that the multispectral sensor could obtain spectral bands to calculate vegetation indices(VIs).ANNs were then constructed using spectral bands and VIs as input layers,in addition to the categorical variable (species), to predict DBH and Ht at the stand level simultaneously. This report represents one of the first appli-cations of high-throughput phenotyping for plant size traits in Eucalyptus species. In general, ANNs containing three hidden layers gave better statistical performance (higher esti-mated r, lower estimated root mean squared error-RMSE) due to their greater capacity for self-learning. Among these ANNs, the best contained eight neurons in the first layer, seven in the second, and five in the third (8 − 7 − 5). The results reported here reveal the potential of using the gener-ated models to perform accurate forest inventories based on spectral bands and VIs obtained with a UAV multispectral sensor and ANNs, reducing labor and time. | Marcus Vinicius Vieira Borges Janielle de Oliveira Garcia Tays Silva Batista Alexsandra Nogueira Martins Silva Fabio Henrique Rojo Baio Carlos Antônio da Silva Junior Gileno Brito de Azevedo Glauce Taís de Oliveira Sousa Azevedo Larissa Pereira Ribeiro Teodoro Paulo Eduardo Teodoro | 2022 | Journal of Forestry Research2022，33，2： | 1 |
| 10 | Real-world performance analysis of a novel computational method in the precision oncology of pediatric tumors显示文摘Background The utility of routine extensive molecular profiling of pediatric tumors is a matter of debate due to the high number of genetic alterations of unknown significance or low evidence and the lack of standardized and personalized decision support methods.Digital drug assignment(DDA)is a novel computational method to prioritize treatment options by aggregating numerous evidence-based associations between multiple drivers,targets,and targeted agents.DDA has been validated to improve personalized treatment decisions based on the outcome data of adult patients treated in the SHIVA01 clinical trial.The aim of this study was to evaluate the utility of DDA in pediatric oncology.Methods Between 2017 and 2020,103 high-risk pediatric cancer patients(<21 years)were involved in our precision oncology program,and samples from 100 patients were eligible for further analysis.Tissue or blood samples were analyzed by whole-exome(WES)or targeted panel sequencing and other molecular diagnostic modalities and processed by a software system using the DDA algorithm for therapeutic decision support.Finally,a molecular tumor board(MTB)evaluated the results to provide therapy recommendations.Results Of the 100 cases with comprehensive molecular diagnostic data,88 yielded WES and 12 panel sequencing results.DDA identified matching off-label targeted treatment options(actionability)in 72/100 cases(72%),while 57/100(57%)showed potential drug resistance.Actionability reached 88%(29/33)by 2020 due to the continuous updates of the evidence database.MTB approved the clinical use of a DDA-top-listed treatment in 56 of 72 actionable cases(78%).The approved therapies had significantly higher aggregated evidence levels(AELs)than dismissed therapies.Filtering of WES results for targeted panels missed important mutations affecting therapy selection.Conclusions DDA is a promising approach to overcome challenges associated with the interpretation of extensive molecular profiling in the routine care of high-risk pediatric cancers.Knowledgebase updates enable automatic interpretation of a continuously expanding gene set,a“virtual”panel,filtered out from genome-wide analysis to always maximize the performance of precision treatment planning. | Barbara Vodicska Júlia Déri Dóra Tihanyi Edit Várkondi EnikőKispéter Róbert Dóczi Dóra Lakatos Anna Dirner Mátyás Vidermann Péter Filotás Réka Szalkai-Dénes István Szegedi Katalin Bartyik Krisztina Míta Gábor Réka Simon Péter Hauser György Péter Csongor Kiss Miklós Garami István Peták | 2023 | World Journal of Pediatrics2023，19，10： | 0 |
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