Showing 4,421 - 4,440 results of 4,451 for search '"forester"', query time: 0.08s Refine Results
  1. 4421

    AI-based tumor-infiltrating lymphocyte scoring system for assessing HCC prognosis in patients undergoing liver resection by Zhiyang Chen, Tingting Xie, Shuting Chen, Zhenhui Li, Su Yao, Xuanjun Lu, Wenfeng He, Chao Tang, Dacheng Yang, Shaohua Li, Feng Shi, Huan Lin, Zipei Li, Anant Madabhushi, Xiangtian Zhao, Zaiyi Liu, Cheng Lu

    Published 2025-02-01
    “…We trained a deep neural network and a random forest model to segment tumor regions and locate CD8+ TILs in H&E and CD8-stained whole-slide images. …”
    Get full text
    Article
  2. 4422

    Development and validation of an explainable machine learning model for mortality prediction among patients with infected pancreatic necrosisResearch in context by Caihong Ning, Hui Ouyang, Jie Xiao, Di Wu, Zefang Sun, Baiqi Liu, Dingcheng Shen, Xiaoyue Hong, Chiayan Lin, Jiarong Li, Lu Chen, Shuai Zhu, Xinying Li, Fada Xia, Gengwen Huang

    Published 2025-02-01
    “…Findings: Random survival forest (RSF) model showed the best predictive performance than other 9 ML models (internal validation, C-index = 0.863 [95% CI: 0.854–0.875]; external validation, C-index = 0.857 [95% CI: 0.850–0.865]). …”
    Get full text
    Article
  3. 4423
  4. 4424
  5. 4425
  6. 4426
  7. 4427

    Construction of feature selection and efficacy prediction model for transformation therapy of locally advanced pancreatic cancer based on CT, 18F-FDG PET/CT, DNA mutation, and CA19... by Liang Qi, Xiang Li, Jiayao Ni, Yali Du, Qing Gu, Baorui Liu, Jian He, Juan Du

    Published 2025-01-01
    “…In constructing the short-term treatment efficacy prediction model, ensemble learning methods such as adaptive boosting (AdaBoost), extreme gradient boosting (XGBoost), and RandomForest performed the best. However, in terms of model interpretability, decision tree methods provide the most intuitive display of the predictive details of the model. …”
    Get full text
    Article
  8. 4428
  9. 4429
  10. 4430
  11. 4431

    Étude de trois grands tonneaux mis au jour à Reims/Durocortorum (Marne) : le savoir-faire des tonneliers antiques by Pierre Mille, Philippe Rollet

    Published 2020-12-01
    “…In order to meet the orders of the cooper’s workshops the hoop makers –another forest-related activity– had to obtain their supplies from the cord-makers, among other peoples. …”
    Get full text
    Article
  12. 4432

    Development, validation, and clinical application of a machine learning model for risk stratification and management of cervical cancer screening based on full-genotyping hrHPV tes... by Binhua Dong, Zhen Lu, Tianjie Yang, Junfeng Wang, Yan Zhang, Xunyuan Tuo, Juntao Wang, Shaomei Lin, Hongning Cai, Huan Cheng, Xiaoli Cao, Xinxin Huang, Zheng Zheng, Chong Miao, Yue Wang, Huifeng Xue, Shuxia Xu, Xianhua Liu, Huachun Zou, Pengming Sun

    Published 2025-02-01
    “…Methods: We developed, compared and validated four machine learning models (eXtreme gradient boosting [XGBoost], support vector machine [SVM], random forest [RF], and naïve bayes [NB]) for cervical cancer prediction, using data from a national cervical cancer screening project conducted in 267 healthcare centers in China. …”
    Get full text
    Article
  13. 4433
  14. 4434
  15. 4435
  16. 4436

    Modern theoretical-methodological and economic-legal problems of implementing the concept of sustainable development of tourism and recreation in Ukraine by Ion Dubovich, Alla Anishchenko, Nadia Yurkiv, Yuliia Volkovska, Rostyslav Matsko, Oleh Rozhkovych, Mariana-Nadiia Dubovich, Oksana Pylypiak

    Published 2024-10-01
    “…It is emphasized that the main problems that are currently hindering the implementation of the concept of sustainable development of tourism and recreation in Ukraine today are, first of all, the fact that hundreds of hectares of the territory of Ukraine are mined, the territories are contaminated with ammunition, large areas of the forest fund have been destroyed, the infrastructure has been destroyed, etc.It is noted that the Methodology for determining damage and losses, approved by the Ministry of Environmental Protection and Natural Resources of Ukraine, takes into account only a part of economic losses, while other significant losses that directly relate to the tourism and recreation industry (loss of life and health of the population of Ukraine, separation Ukrainian families, destroyed living conditions of Ukrainian citizens, damaged or destroyed residential buildings, moral, aesthetic and many other damages) are not taken into account.It is substantiated that for an objective assessment of damage and the amount of damage, it is also necessary to take into account environmental damage and destroyed natural resources, including mined and polluted hundreds of hectares of the territory of Ukraine, etc. …”
    Get full text
    Article
  17. 4437

    Research on Characteristics and Influencing Factors of High Temperature Disaster Risk in Wuhan Based on Local Climate Zone by Shujing GUO, Li ZHANG

    Published 2025-01-01
    “…Then Landsat 8 remote sensing images are processed with SAGA GIS software, Google Earth Pro software, and Random Forest algorithm to classify the urban development area of Wuhan into 17 local climate zone (LCZ) types based on the remote sensing image classification method of World Urban Database and Access Portal Tools (WUDAPT). …”
    Get full text
    Article
  18. 4438

    Evaluation of Urban Composite Carbon Sink Value: A Case Study of Shenyang by Tiemao SHI, Di WANG, Yu TANG, Peiying LI

    Published 2025-01-01
    “…Although the total composite carbon sink value of urban areas is slightly inferior to that of other terrestrial ecosystems such as forests, it has a certain advantage in average annual growth. …”
    Get full text
    Article
  19. 4439

    Osiąganie kompromisu potrzeb człowieka i przyrody by Karol Lewandowski

    Published 2004-12-01
    “…This is demonstrated in the article by an example of Sudety forests, devastated by acid rains and the problem of increasing deficit of sulfur in the soil, caused by introducing Sulphur removing from waste gas technology on a mass scale. …”
    Get full text
    Article
  20. 4440