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  1. 5701
  2. 5702

    Engineering Drawing : with CAD applications / by Ostrowsky, O.

    Published 1989
    “…with CAD applications /…”
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    Book
  3. 5703
  4. 5704

    Therapy-induced senescent cancer cells contribute to cancer progression by promoting ribophorin 1-dependent PD-L1 upregulation by Hyun Jung Hwang, Donghee Kang, Jisoo Shin, Jonghun Jung, Soyeon Ko, Kyung Hee Jung, Soon-Sun Hong, Ji Eun Park, Myung Jin Oh, Hyun Joo An, Wen-Hao Yang, Young-Gyu Ko, Jong-Ho Cha, Jae-Seon Lee

    Published 2025-01-01
    “…Abstract Conventional chemotherapy- and radiotherapy-induced cancer senescence, which is characterized by poor proliferation, drug resistance, and senescence-associated secretory phenotype, has gained attention as contributing to cancer relapse and the development of an immunosuppressive tumor microenvironment. …”
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    Article
  5. 5705

    Genetic characteristics and pathogenesis of clade 2.3.4.4b H5N1 high pathogenicity avian influenza virus isolated from poultry in South Korea, 2022–2023 by Ra Mi Cha, Min-Ji Park, Yoon-Gi Baek, Yu-Na Lee, Yunyueng Jang, Yong-Myung Kang, Gyeong-Beom Heo, Se-Hee An, Kwang-Nyeong Lee, Jae-Kyeom Kim, Hye-Ryoung Kim, Youn-Jeong Lee, Eun-Kyoung Lee

    Published 2025-03-01
    “…Notably, in the 22G7-inoculated group, viral shedding via the cloacal route was longer, and viral replication in the cecal tonsil was higher than that in the 22G1-inoculated group, which may have contributed to the dominancy of the 22G7 genotype. …”
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    Article
  6. 5706
  7. 5707
  8. 5708
  9. 5709
  10. 5710
  11. 5711
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  13. 5713

    Osteoarticular Infection in Three Young Thoroughbred Horses Caused by a Novel Gram Negative Cocco-Bacillus by Bernard J. Hudson, Catherine Chicken, Anna Blishen, Kristen H. Todhunter, Angela P. Begg, Leonie Chan, Thomas Karagiannis, Benjamin Raymond, Daniel Bogema, Angus R. Adkins, Christopher B. O’Sullivan, Brendon A. O’Rourke, Piklu Roy Chowdhury, Steven P. Djordjevic, Ian G. Charles, Andrew Edgar, Katerina Mitsakos

    Published 2020-01-01
    “…Analysis by 16S rRNA PCR enabled construction of a phylogenetic tree that placed the isolates closer to Simonsiella and Alysiella species, rather than Kingella species. Average nucleotide identity (ANI) comparison between the new isolate and Kingella kingae and Alysiella crassa however revealed low probability that the new isolate belonged to either of these species. …”
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    Article
  14. 5714

    Genomic insights into population dynamics and adaptive strategies of the endangered dipterocarp, Hopea chinensis by Wei-Min Xiang, Yu-Ting Jiang, Jie Zou, Yan Deng, Kai Jiang, Kai-Jian Zhang, Xin-Yu Zhou, Kai-Xi Quan, Zi-Wen Han, Wei-Chao Liu, Liang Tang, Yuan-Yuan Li, Simon T. Segar, Yuan-Ye Zhang, Xing-Hua Hu, Rong Wang, Xiao-Yong Chen

    Published 2025-01-01
    “…Despite the perceived conservation priority of these species, we know little about how they became endangered and how they have adapted to marginal habitats. Here, we focused on the population genomics of Hopea chinensis, an endangered species narrowly distributed at the northern limit of dipterocarps, to (1) reveal its demographic history and infer factors contributing to endangered status; (2) evaluate the genetic consequences of its small remnant population; and (3) identify key genes associated with its adaptation. …”
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    Article
  15. 5715
  16. 5716

    Knowledge and Attitude about Basic Life Support and Emergency Medical Services amongst Healthcare Interns in University Hospitals: A Cross-Sectional Study by Shahabe A. Saquib, Hassan M. Al-Harthi, Anas A. Khoshhal, Adel A. Shaher, Abdulsalam B. Al-Shammari, AbdulAhad Khan, Tahani A. Al-Qahtani, Imran Khalid

    Published 2019-01-01
    “…There was no significant difference in the attitude of interns among the different faculties. 60 to 70% of interns had recommended to include BLS training in the university curriculum. …”
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    Article
  17. 5717

    Machine-learning versus traditional methods for prediction of all-cause mortality after transcatheter aortic valve implantation: a systematic review and meta-analysis by Clara K Chow, Aravinda Thiagalingam, Rohan Jayasinghe, Sarah Zaman, Stephen Bacchi, Justin Chan, Aashray Gupta, Shaun Evans, Pramesh Kovoor, Brandon Stretton, Jayme Bennetts, Ammar Zaka, Naim Mridha, Joshua Kovoor, Gopal Sivagangabalan, Cecil Mustafiz, Daud Mutahar, Shreyans Sinhal, James Gorcilov, Benjamin Muston, Fabio Ramponi, Dale J Murdoch

    Published 2025-01-01
    “…Background Accurate mortality prediction following transcatheter aortic valve implantation (TAVI) is essential for mitigating risk, shared decision-making and periprocedural planning. Surgical risk models have demonstrated modest discriminative value for patients undergoing TAVI and are typically poorly calibrated, with incremental improvements seen in TAVI-specific models. …”
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  18. 5718
  19. 5719
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