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  1. 1601
  2. 1602

    A Systematic Review and Meta-Analysis of Molecular Characteristics on Colistin Resistance of <i>Acinetobacter baumannii</i> by Ihsan Hakki Ciftci, Elmas Pinar Kahraman Kilbas, Imdat Kilbas

    Published 2024-11-01
    “…Background: This study aimed to determine the molecular epidemiology of colistin-resistant <i>A. baumannii</i> in the last ten years and the frequency of gene regions related to pathogenesis, to compare the methods used to detect genes, and to confirm colistin resistance. …”
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    Article
  3. 1603

    P-4 HYPOTHERMIC OXYGENATED PERFUSION USING AN ECMO DEVICE IN LIVER TRANSPLANTATION: AN ANALYSIS OF THE FIRST 100 CASES AT A CHILEAN PUBLIC HOSPITAL by FRANCISCA MAGDALENA MARTÍNEZ VENEZIAN, Elizabeth Rivas, Valeria Galaz, Valentina Castillo, Julio Benitez, Edmundo Martinez, Rodrigo Wolff, Blanca Norero, Erwin Buckel, Rolando Rebolledo

    Published 2024-12-01
    “…Conflict of interest: No Introduction and Objectives: Hypothermic machine perfusion using ECMO devices has emerged as a promising technique to enhance the viability of marginal liver grafts. …”
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    Article
  4. 1604

    Research of Impact by Mechanical Device on Winter Wheat Seeds by V. P. Zabrodin, A. F. Butenko, M. V. Sukhanova, S. M. Cheptsov

    Published 2018-04-01
    “…Problems of seed damage have become important in connection with the use of machines at all stages of harvesting and processing of crops. …”
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    Article
  5. 1605

    Improving Automatic Coronary Stenosis Classification Using a Hybrid Metaheuristic with Diversity Control by Miguel-Angel Gil-Rios, Ivan Cruz-Aceves, Arturo Hernandez-Aguirre, Martha-Alicia Hernandez-Gonzalez, Sergio-Eduardo Solorio-Meza

    Published 2024-10-01
    “…<b>Methods</b>: An image database containing 608 images, evenly balanced between positive and negative coronary stenosis cases, was used for experiments. …”
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    Article
  6. 1606

    Intelligent algorithm-based model for predicting mass transfer performance in CO2 absorption within a rotating packed bed by Wei Zhang, Hao Chen, Ke Huang, Xing Shu, Cheng Fu, Bin Huang

    Published 2025-09-01
    “…Moreover, the occurrence of suspected data points is found to be minimal, with frequencies of 0.64 %, 3.8 %, and 1.28 % for the GA-LSSVM, PSO-LSSVM, and HGAPSO-LSSVM models, respectively. …”
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    Article
  7. 1607

    ENVIRONMENTAL ASPECTS OF MODERNIZATION OF HIGH POWER WATER-HEATING BOILERS by P. M. Glamazdin, D. P. Glamazdin, Yu. P. Yarmolchick

    Published 2016-05-01
    “…Automation provided “associated regulations”. Draught machines were equipped with frequency regulators. During commissioning of the boiler the studies were carried out that related to the identification of dependency of the emission level on the shape of the temperature field in the furnace, in particular, – on the intensity of twist of gas-air mixture at the exit from the burner. …”
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    Article
  8. 1608

    Determination of the dominant sound source in an Air production plant of a petrochemical industry and assessing the effectiveness of its enclosing by MR Monazzam, S Farhang Dehghan, P Nassiri, M Jahangiri

    Published 2015-09-01
    “…Considering to the efficacy of conventional methods of noise control and also results of Dryer’s frequency analysis, and the working condition of Air plant, acoustic chamber or enclosure was chosen as the best engineering noise control measure for reducing of noisy Dryer. …”
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    Article
  9. 1609

    Normal physiologic coronary flow velocity gradient across the left anterior descending artery in healthy asymptomatic subjects by Fausto Rigo, Veronica Spadotto, Roberto Settimo Fattore, Pietro Renda, Christian Cugini, Maurizio Agnoletto

    Published 2023-08-01
    “…Resting CFV in the LAD was assessed with high-end machines, dedicated coronary pre-set, and high-frequency transducers by pulsed-wave Doppler under color-Doppler guidance in the proximal, mid, and distal segments. …”
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    Article
  10. 1610

    Dreaming of a good night's sleep: a quality improvement project on improving length and quality of sleep in hospitals by Arbi Hasanaj, Emma Turner, Matthew Wateridge, Jas Virdee

    Published 2025-06-01
    “…Materials and methods: The study assessed whether structured sleep interventions could increase sleep duration and quality in hospitalised patients. …”
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    Article
  11. 1611

    Identification of SMYD2 as a candidate diagnostic and prognostic biomarker for gastric cancer by Sichao Wang, Chuanxi Zhao, Dongmei Li, Qingzhi Liu, Cuiping Mao, Shanshan Ding, Shujun Zhang, Wenjing Shang

    Published 2025-07-01
    “…Consensus unsupervised clustering analysis was performed to identify HMEs-associated GC subtypes. Various machine learning methods were employed to construct an HMEs-based diagnostic model for GC. …”
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    Article
  12. 1612

    Comprehensive analysis of regulatory B Cell related genes in prognosis and therapeutic response in lung adenocarcinoma by Liangyu Zhang, Liangyu Zhang, Jianshen Zeng, Jianshen Zeng, Xun Zhang, Xun Zhang, Menglong Zhang, Menglong Zhang, Yilin Lin, Yilin Lin, Fancai Lai, Fancai Lai

    Published 2025-07-01
    “…This study seeks to investigate the roles of Breg-associated genes in the context of LUAD.MethodsConsensusClusterPlus package was used to characterize LUAD patients into two clusters. …”
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    Article
  13. 1613

    Reveal the mechanism of brain function with fluorescence microscopy at single-cell resolution: from neural decoding to encoding by Kangchen Li, Huanwei Liang, Jialing Qiu, Xulan Zhang, Bobo Cai, Depeng Wang, Diming Zhang, Bingzhi Lin, Haijun Han, Geng Yang, Zhijing Zhu

    Published 2025-05-01
    “…For decoding models, we compared linear and nonlinear methods, including independent component analysis, random forests, and support vector machines, highlighting their capabilities to reveal the intricate mapping between neural activity and behavior. …”
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    Article
  14. 1614
  15. 1615

    Metabolic profiles in laryngeal cancer defined two distinct molecular subtypes with divergent prognoses by Dan Zheng, Dan Zheng, Xuan Pu, Xuan Pu, XuHui Deng, XuHui Deng, Cui Liu, Cui Liu, SiJun Li, SiJun Li

    Published 2025-05-01
    “…Specifically, the LCA1 subtype exhibited better prognosis, enriched metabolic pathways, and higher mutation frequencies. Notably, significant damaging mutations in the methyltransferases NSD1 were observed in this subtype. …”
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  16. 1616

    Application of artificial intelligence in the health management of chronic disease: bibliometric analysis by Mingxia Pan, Mingxia Pan, Rong Li, Junfan Wei, Huan Peng, Ziping Hu, Yuanfang Xiong, Na Li, Yuqin Guo, Weisheng Gu, Hanjiao Liu, Hanjiao Liu

    Published 2025-01-01
    “…Hoping our findings will serve as a useful reference for guiding further research and fostering the effective application of AI in healthcare.MethodsThe Web of Science Core Collection database was utilized as the source. …”
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    Article
  17. 1617

    Justifying the Operation Parameters of a Robotic Cassette Loading Device of the Carousel Type for a Selection Seeder by Andrey S. Chulkov, Mikhail E. Chaplygin, Marsel’ M. Shaykhov

    Published 2024-12-01
    “…The development and implementation of automated and robotic machines and devices for performing works on selection and seed production of grain and other crops creates conditions for increasing productivity and reducing labor intensity of work and contributes to increasing the production volume of domestic crop seeds. …”
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  18. 1618

    Longitudinal vibrations of rods from dynamic and kinematic perturbations by L. A. Baragunova, M. M. Shogenova

    Published 2022-08-01
    “…The aim of the work is to develop methods and algorithms for solving problems of oscillations under dynamic and kinematic disturbances.Method. …”
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  19. 1619

    Risk prediction models for dental caries in children and adolescents: a systematic review and meta-analysis by Peng Zhang, Kang Li, Xijia Wang, Huifei Lu, Dandan Luo, Dunhui Yang, Shuqi Qiu, Haotao Zeng, Xianhai Zeng

    Published 2025-03-01
    “…Logistic regression, random forests and support vector machines were the most commonly employed methods. Frequently used predictors included fluoride toothpaste use and brushing frequency. …”
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  20. 1620