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    First-line chemotherapy with selective internal radiation therapy for intrahepatic cholangiocarcinoma: The French ACABi GERCOR PRONOBIL cohort by Nicolas Adamus, Julien Edeline, Julie Henriques, Nadim Fares, Thierry Lecomte, Anthony Turpin, Dewi Vernerey, Mathilde Vincens, Brice Chanez, David Tougeron, Christophe Tournigand, Eric Assenat, Matthieu Delaye, Sylvain Manfredi, Olivier Bouché, Nicolas Williet, Angelique Vienot, Lorraine Blaise, Léo Mas, Cindy Neuzillet, Alice Boilève, Gaël S. Roth

    Published 2025-02-01
    “…After IPTW, the superiority of chemo-SIRT was confirmed with better PFS (HR 0.55, 95% CI 0.45-0.66, p <0,0001), OS (HR 0.70, 95% CI 0.58-0.85, p = 0.0004), ORR (OR 3.17, 95% CI 2.18-4.49, p <0.0001) and resection rate (OR 2.94, 95% CI 1.71-5.03, p <0.0001). …”
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    Screening of Genes Related to Resistance to Bacterial Leaf Blight in Oryza officinalis by using RNA-seq Technology by Yayun YANG, Feifei ZHANG, Famei ZHANG, Xinxiang A, Chao DONG, Cuifeng TANG, Chunyun YANG, Luyuan DAI

    Published 2024-11-01
    “…【Objective】Oryza officinalis belongs to the CC chromosome group of rice genus, and it had accumulated a large number of resistance genes that adapt to harsh environments during long-term natural survival. …”
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    Wetland birds of middle Vistula River during breeding season: the impact of human activities on the distribution, abundance and richness of species by Dariusz Bukaciński, Monika Bukacińska, Arkadiusz Buczyński

    Published 2020-12-01
    “…Straight, much narrower river channel, small number of islands in a main channel and a degraded valley in the vicinity of river banks caused, that only six to ten species nested there, of the total density ranged between 2.0-2.7 pairs/km on the urban fragment and 3.8-6.6 pairs/km within the gravel pit area (Table 3). …”
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    Application of Concentration-Area fractal modeling and artificial neural network to identify Cu, Zn±Pb geochemical anomalies in Hashtjin area, NW of Iran by Ali Imamalipour, Hamed Ebrahimi, Amir reza Abdollahpur

    Published 2024-10-01
    “…The deep autoencoder network is an autoencoder network in which the neural network is designed profoundly, and the number of layers in it is greater. Each layer looks at the data as a new perspective. …”
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