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  1. 47941
  2. 47942

    Insight into the Microscopic Interactions Among Steam, Non-Condensable Gases, and Heavy Oil in Steam and Gas Push Processes: A Molecular Dynamics Simulation Study by Jiuning Zhou, Xiyan Wang, Xiaofei Sun, Zifei Fan

    Published 2024-12-01
    “…This study can help readers deeply understand the microscopic interactions among steam, NCG, and heavy oil under reservoir conditions in SAGP processes and its results can provide valuable information for the actual application of SAGP processes in enhancing heavy oil recovery.…”
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  3. 47943

    A Muscle Physiology-Based Framework for Quantifying Training Load in Resistance Exercises by Frank Imbach, Stéphane Perrey, Thomas Brioche, Robin Candau

    Published 2025-01-01
    “…Considering other training-related information and TL indexes stands essential, applicable to field situations and supports the multidimensional facet of physiological responses to RE.…”
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  4. 47944

    Human-genome single nucleotide polymorphisms affecting transcription factor binding and their role in pathogenesis by E. V. Antontseva, A. O. Degtyareva, E. E. Korbolina, I. S. Damarov, T. I. Merkulova

    Published 2023-11-01
    “…Moreover, determination of associations of genetic variants with a disease does not provide information about the functionality of these variants, which is necessary to elucidate the molecular mechanisms of the development of pathology and to design effective methods for its treatment and prevention. …”
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  5. 47945

    The collection of potato cultivars as a source for breeding for high yield, earliness, and resistance to late blight, virus diseases and Globodera rostochiensis Woll by L. I. Kostina, O. S. Kosareva

    Published 2019-02-01
    “…The article presents information on the results of screening potato cultivars for major commercial traits: earliness, high yield, high starch content, resistance to late blight (Phytophthora infestans (Mont.) de Bary), virus diseases and potato nematode (Globodera rostochiensis Woll. …”
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  6. 47946
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  8. 47948
  9. 47949

    ChatGPT’s Attitude, Knowledge, and Clinical Application in Geriatrics Practice and Education: Exploratory Observational Study by Huai Yong Cheng

    Published 2025-01-01
    “…ConclusionsThis study suggests that ChatGPT can be a valuable supplemental tool in geriatrics, offering reliable information with less age bias, robust geriatrics knowledge, and comprehensive recommendations for managing 2 common geriatric syndromes (polypharmacy and falls) that are consistent with evidence from guidelines, systematic reviews, and other types of studies. …”
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  10. 47950
  11. 47951

    Autonomous International Classification of Diseases Coding Using Pretrained Language Models and Advanced Prompt Learning Techniques: Evaluation of an Automated Analysis System Usin... by Yan Zhuang, Junyan Zhang, Xiuxing Li, Chao Liu, Yue Yu, Wei Dong, Kunlun He

    Published 2025-01-01
    “…It can assist doctors unfamiliar with the ICD coding system in organizing medical record information, thereby accelerating the medical process and enhancing the efficiency of diagnosis and treatment.…”
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  12. 47952
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  15. 47955

    Klasifikasi Ulasan Palsu Menggunakan Borderline Over Sampling (BOS) dan Support Vector Machine (SVM) (Studi Kasus : Ulasan Tempat Makan) by Aisyah Awalina, Fitra Abdurrachman Bachtiar, Indriati Indriati

    Published 2022-02-01
    “…Abstract The convenience of obtaining information nowadays has helped many people such as looking for reviews for new places to eat. …”
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  16. 47956
  17. 47957

    Investigating the Use of Generative Adversarial Networks-Based Deep Learning for Reducing Motion Artifacts in Cardiac Magnetic Resonance by Ma ZP, Zhu YM, Zhang XD, Zhao YX, Zheng W, Yuan SR, Li GY, Zhang TL

    Published 2025-02-01
    “…Ze-Peng Ma,1,2,* Yue-Ming Zhu,3,* Xiao-Dan Zhang,4 Yong-Xia Zhao,1 Wei Zheng,3 Shuang-Rui Yuan,1 Gao-Yang Li,1 Tian-Le Zhang1 1Department of Radiology, Affiliated Hospital of Hebei University/ Clinical Medical College, Hebei University, Baoding, 071000, People’s Republic of China; 2Hebei Key Laboratory of Precise Imaging of inflammation Tumors, Baoding, Hebei Province, 071000, People’s Republic of China; 3College of Electronic and Information Engineering, Hebei University, Baoding, Hebei Province, 071002, People’s Republic of China; 4Department of Ultrasound, Affiliated Hospital of Hebei University, Baoding, Hebei Province, 071000, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xiao-Dan Zhang, Department of Ultrasound, Affiliated Hospital of Hebei University, No. 212 of Yuhua East Road, Lianchi District, Baoding, 071000, People’s Republic of China, Tel +86 17325535302, Email xiaodanzhangzxd@126.comObjective: To evaluate the effectiveness of deep learning technology based on generative adversarial networks (GANs) in reducing motion artifacts in cardiac magnetic resonance (CMR) cine sequences.Methods: The training and testing datasets consisted of 2000 and 200 pairs of clear and blurry images, respectively, acquired through simulated motion artifacts in CMR cine sequences. …”
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  18. 47958

    Odpowiedź na pracę dr. Pawła E. Tomaszewskiego pt. „Komentarz do artykułu Mariusza W. Majewskiego opublikowanego w Studia Historiae Scientiarum 17 (2018), ss. 89–117” by Mariusz W. Majewski

    Published 2019-11-01
    “…It is well known that any attempt to compile the history of any issue requires critical approach to historical sources and that acquiring information collected in archival sources, the press and memoirs requires from the researcher a diligent and thorough comparative work. …”
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  19. 47959

    6G-oriented cross-modal signal reconstruction technology by Ang LI, Jianxin CHEN, Xin WEI, Liang ZHOU

    Published 2022-06-01
    “…The feature extraction module maps the source modal signals into a semantic feature vector in the common semantic space, and the reconstruction module inverse transforms this semantic feature vector into the target modal signal.The evaluation module evaluates the reconstruction quality in semantic and spatio-temporal dimensions, and feeds the optimization information to the feature extraction module and the reconstruction module during the training process of the framework, forming a closed-loop loop to achieve accurate signal reconstruction through continuous iteration. …”
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  20. 47960

    Characteristics and combustion kinetics of fuel pellets composed of waste of polyethylene terephthalate and biomass by K. Manatura, U. Samaksaman

    Published 2021-10-01
    “…CONCLUSION: These findings may provide crucial information on fuel pellets from blended polyethylene terephthalate/biomass to assist the design and operation of a co-combustion system with traditional solid fuels. …”
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