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  1. 31141

    Biological characteristics of Multidrug-Resistant Proteus mirabilis Bacteriophage and Its Antibacterial Effect on Chicken Breast Meat by PAN Shunyuan, CHEN Qibai, WANG Hongyue, KONG Xiangyu, PANG Shenyu, GAO Dongyang, SONG Jun

    Published 2025-03-01
    “…Crystal violet staining and plate counting were employed to assess the ability of the phage to remove biofilms and the efficiency in removing biofilms on different materials was evaluated using the plate counting method. …”
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    Article
  2. 31142

    Impacts of non-starch polysaccharide sources with enzymes influencing intestinal mucosa-associated microbiota and mucosal immunity of nursery pigs on growth and carcass traits at m... by Jonathan T. Baker, Zixiao Deng, Alexa R. Gormley, Sung Woo Kim

    Published 2025-04-01
    “…Abstract Background This study investigated the effects of different non-starch polysaccharide (NSP) sources with NSP degrading enzymes (NSPases) and the influence on the mucosa-associated microbiota and intestinal immunity of nursery pigs, on growth performance and carcass traits at market weight. …”
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  3. 31143

    Comparison of the effects of hydrogel and normal saline as carriers of MSC on fracture healing in a rat long bone fracture model by Kang-Il Kim, Ki-Hyeok Ku, Hyun-Mi Cho, Hyeon-Gyu Han, Myung-Seo Kim

    Published 2025-07-01
    “…Results Group H demonstrated higher SDF-1 and MCP-1 levels at 2 weeks post-fracture compared with group C. No significant differences in protein expression levels of osteogenesis-related chemokines were observed between the two groups at 6 weeks post-fracture. …”
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  4. 31144
  5. 31145

    Key organisational barriers to effective knowledge risk management in South African public sector enterprises by Malefetjane Phaladi

    Published 2024-10-01
    “…The improved KRM can enhance public service delivery efficiency, transparency and the accountability of PSEs by addressing socio-economic developmental issues in developing economies. …”
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    Article
  6. 31146

    Integration of multimodal imaging data with machine learning for improved diagnosis and prognosis in neuroimaging by Saurabh Bhattacharya, Sashikanta Prusty, Sanjay P. Pande, Monali Gulhane, Santosh H. Lavate, Nitin Rakesh, Saravanan Veerasamy

    Published 2025-03-01
    “…Current approaches are less helpful for forecasting, however, as they do not always blend spatial and temporal patterns from different sources properly. This work presents a novel mixed deep learning (DL) method combining data from many sources using CNN, GRU, and attention techniques. …”
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  7. 31147

    Studying the Process of Enzyme Treatment on Beef Meat-Bone Paste Quality by Assemgul Baikadamova, Aitbek Kakimov, Zhanibek Yessimbekov, Anuarbek Suychinov, Rasul Turagulov, Duman Orynbekov, Gulmira Zhumadilova, Yerlan Zharykbasov

    Published 2024-09-01
    “…Physicochemical analysis revealed no significant differences in chemical composition between the two samples. …”
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    Article
  8. 31148

    Prediction of one-year recurrence among breast cancer patients undergone surgery using artificial intelligence-based algorithms: a retrospective study on prognostic factors by Raoof Nopour

    Published 2025-05-01
    “…Objective This study aims to specifically conduct a predictive analysis of one-year recurrence of breast cancer by comparing and analyzing different machine learning and deep learning algorithms trained by structural prognostic data. …”
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    Article
  9. 31149

    Accuracy of Large Language Models for Infective Endocarditis Prophylaxis in Dental Procedures by Paak Rewthamrongsris, Jirayu Burapacheep, Vorapat Trachoo, Thantrira Porntaveetus

    Published 2025-02-01
    “…Results: Significant differences in accuracy were observed among the LLMs. …”
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  10. 31150

    Leaf functional traits highlight phenotypic variation of two tree species in the urban environment by Ahram Cho, Nicole Dziedzic, Aria Davis, Cindy Hanson, Jangho Lee, Gabriela C. Nunez-Mir, Miquel A. Gonzalez-Meler

    Published 2024-12-01
    “…This study investigates the environmental differences and tree leaf structure and morphology in urban and suburban sites in the Chicago Metropolitan Region. …”
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  11. 31151

    Keratorefractive Surgery for Residual Refractive Error Correction in Pseudophakic Patients by Е. P. Gurmizov, К. B. Pershin, N. F. Pashinova, А. Iu. Tsygankov

    Published 2020-06-01
    “…Statistically significant differences were determined for the species of previously implanted IOLs — in group II, the frequency of monofocal IOLs was significantly higher (p < 0.05). …”
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  12. 31152

    Enhancing Germination and Growth of Chrysanthemum Synthetic Seeds Through Iron Oxide Nanoparticles and Indole-3-Acetic Acid: Impact of Treatment Duration on Metabolic Activity and... by Kulus D, Tymoszuk A, Gościnna K, Osial M

    Published 2025-03-01
    “…Leaf growth metrics were enhanced with Fe3O4CA NPs in plants after 30 days of treatment, yet no significant differences were observed in leaf dimensions after 60 days. …”
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    Article
  13. 31153

    Ginger-derived carbon quantum dots as sustainable inhibitor of steel corrosion and barite precipitation by B. A. Abd-El-Nabey, S. El-Housseiny, D. E. Abd-El-Khalek, M. A. Abd-El-Fatah

    Published 2025-07-01
    “…Abstract A one-step pyrolysis was used to synthesize ginger carbon quantum dots (G-CDs), which were described using XPS, FTIR, XRD, EDX, and TEM to validate the different integrated functions, particle dimension, morphology, component composition, amorphous construction, and bonding types. …”
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  14. 31154

    WideConvNet: A Novel Wide Convolutional Neural Network Applied to ERP-Based Classification of Alcoholics by Abdul Baseer Buriro, Attaullah Buriro, Aziz Altaf Khuwaja, Abdul Aziz Memon, Nabeel Siddiqui, Stephen J. Weddell, Richard D. Jones

    Published 2025-01-01
    “…The findings suggest that WideConvNet, specifically on short-duration EEG signals, offers a balanced solution, combining robust classification performance with improved computational efficiency, making it suitable for clinical diagnosis and real-time brain-computer interface (BCI) applications.…”
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  15. 31155

    Estimating actual crop evapotranspiration by using satellite images coupled with hybrid deep learning-based models in potato fields by Larona Keabetswe, Yiyin He, Chao Li, Zhenjiang Zhou

    Published 2024-12-01
    “…Notably CNN-RF1 model yielded the best results, achieving a normalized root mean squared error (nRMSE) of 11.7 and 31.5 %; Nash–Sutcliffe Efficiency (NSE) of 0.97 and 0.80; Correlation coefficient (CC) of 0.99 and 0.91 at training and testing phases respectively. …”
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  16. 31156

    Economic Development of the Latin American Integration Association: Trends and Prospects by M. N. Tolmachev, E. V. Nikiforova, A. P. Tsypin

    Published 2021-12-01
    “…The structure of the economies of the association countries is largely different from the developed countries: the former are dominated by manufacturing, while the latter are dominated by services. …”
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  17. 31157

    CHANGING IMAGE OF TKIS: ORIGINAL, BIOSIMILAR AND GENERIC OPTIONS by Cenk Sunu

    Published 2024-12-01
    “…The crystal form of a drug's active ingredient may cause differences in solubility, stability, density, melting point, processability. …”
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  18. 31158
  19. 31159

    Importance of Spectral Information, Seasonality, and Topography on Land Cover Classification of Tropical Land Cover Mapping by Chansopheaktra Sovann, Stefan Olin, Ali Mansourian, Sakada Sakhoeun, Sovann Prey, Sothea Kok, Torbern Tagesson

    Published 2025-04-01
    “…We generated 65 variables of spectral bands, indices, bi-seasonal differences, and topographic data from Sentinel-2 Level-2A and Shuttle Radar Topography Mission datasets. …”
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  20. 31160

    SUPRAVENTRICULAR RHYTHM DISTURBANCES TREATMENT WITH ANTIARHYTHMIC DRUG III CLASS NIBENTAN IN PATIENTS WITH ISCHEMIC HEART DISEASE (EXPERIMENTAL, CLINICAL AND MORPHOLOGICAL EVIDENCE... by I. A. Latfullin, R. F. Gaifullina

    Published 2016-01-01
    “…To evaluate antiarhythmic efficiency of Nibentan (Verofarm, Russia), antiarrythmic drug III class, in supraventricular rhythm disturbances (SRD) relief in patients with ischemic heart disease (IHD). …”
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