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  1. 13021

    Does Treatment with Sodium-Glucose Cotransporter-2 Inhibitors Affect Adherence to International Society Criteria for Diabetic Ketoacidosis in Adult Patients with Type 2 Diabetes? A... by Aongus O’Brolchain, Joshua Maletsky, Ibrahim Mian, Serena Edwards

    Published 2024-01-01
    “…The physiological effects of SGLT2i are such that hyperglycaemia and ketonuria are no longer reliable diagnostic tools in patients treated with this class of medication. Diagnostic criteria for DKA varies between major society guidelines. …”
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  2. 13022

    Impact of Oxycodone HCl Extended-release Formulary Restrictions on Extended-release Opioid Market Share, Healthcare Resource Utilization and Costs in Commercial and Medicare Plans by Rolin L. Wade, Chi-Chang Chen, Ajita P. De, Jaren C. Howard

    Published 2017-07-01
    “…**Background:** Previous research demonstrated that utilization management (UM) such as prior authorization (PA) or non-formulary (NF) restrictions may reduce pharmacy costs when designed and applied appropriately to certain drug classes. …”
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  3. 13023

    Surveillance of SARS-CoV-2 variants in Henan, China from 2023 to 2024 by Yun Song, Bicong Wu, Hongxia Ma, Yafei Li, Su Yan, Jingjing Pan, Haifeng Wang, Ying Ye, Xueyong Huang, Wanshen Guo

    Published 2025-02-01
    “…ObjectiveIn January 2023, China implemented the “Class B Management” policy, marking a new phase in COVID-19 control. …”
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  4. 13024

    PENGEMBANGAN DESAIN BAHAN AJAR FISIKA BERBASIS E-MODUL PADA MATERI MOMENTUM by Nadah Qolbi Shobrina, Indra Sakti, Andik Purwanto

    Published 2020-04-01
    “…This research was is a development research conducted in five stages, namely potention and problem, literature study and information gathering, product design, design validation, and tested design .The sample or data source of this research were the Physic Teacher and Student of SMAN 2 Bengkulu, class of X MIPA D. The instruments used in this research are observation sheet, teacher and student questionnaire, test questionnaire of expert team validation test. …”
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  5. 13025

    Shift work schedules alter immune cell regulation and accelerate cognitive impairment during aging by Karienn A. de Souza, Morgan Jackson, Justin Chen, Jocelin Reyes, Judy Muayad, Emma Tran, William Jackson, M. Karen Newell-Rogers, David J. Earnest

    Published 2025-01-01
    “…In conjunction with the effects of circadian dysregulation on cognition, shifted LD mice at middle age were distinguished by significant expansion of splenic B cells and B cell subtypes expressing the activation marker CD69 or inflammatory marker MHC Class II Invariant peptide (CLIP), differential increases in CLIP+, 41BB-Ligand+, and CD74 + B cells in the meningeal lymphatics, alterations in splenic T cell subtypes, and increased number and altered functional state of microglia in the dentate gyrus. …”
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  6. 13026

    Timosin alpha-1 immunomodulating properties by M. V. Mayevskaya

    Published 2009-02-01
    “…Direct antiviral mechanism of Timosin alpha-1 consists in increase of expression of major histocompatibility complex molecules of the 1st class on infected cells and direct suppression of virus replication, and also in elevation of endocellular level of glutathione. …”
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  7. 13027
  8. 13028

    High-throughput untargeted metabolomics reveals metabolites and metabolic pathways that differentiate two divergent pig breeds by S. Bovo, M. Bolner, G. Schiavo, G. Galimberti, F. Bertolini, S. Dall’Olio, A. Ribani, P. Zambonelli, M. Gallo, L. Fontanesi

    Published 2025-01-01
    “…We utilised a high-throughput untargeted metabolomics approach in a total of 962 pigs that allowed us to detect and relatively quantify 722 metabolites from various biological classes. The molecular data were analysed using a bioinformatics pipeline specifically designed for identifying differentially abundant metabolites between the two breeds in a robust and statistically significant manner, including the Boruta algorithm, which is a Random Forest wrapper, and sparse Partial Least Squares Discriminant Analysis (sPLS-DA) for feature selection. …”
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  9. 13029

    Physical activity and the outcome of cognitive trajectory: a machine learning approach by Bettina Barisch-Fritz, Jay Shah, Jelena Krafft, Yonas E. Geda, Teresa Wu, Alexander Woll, Janina Krell-Roesch

    Published 2025-01-01
    “…A Support Vector Machine model was used to perform the classification of each primary outcome into the two classes of decline and non-decline. GridSearchCV with fivefold cross-validation was used for model training, and area under the ROC curve (AUC) and accuracy were calculated to assess model performance. …”
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  10. 13030

    Scalar Field Kantowski–Sachs Solutions in Teleparallel <i>F</i>(<i>T</i>) Gravity by Alexandre Landry

    Published 2025-01-01
    “…Some new <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>F</mi><mo>(</mo><mi>T</mi><mo>)</mo></mrow></semantics></math></inline-formula> solution classes may be relevant for future cosmological applications, especially concerning dark matter, dark energy quintessence, phantom energy leading to the Big Rip event, and quintom models of physical processes.…”
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  11. 13031

    Evaluation de la densité relative et premières observations sur les groupes sociaux des bonobos (Pan paniscus) dans la forêt de Bolobo (Site Mbou-Mon-Tour), R.D.Congo by Simon Pierre Ndimbo Kumugo, N B Mbomba Nseu Bekeli, Jean Malekani Mukulire, Barbara Fruth

    Published 2014-01-01
    “…Malgré leur protection officielle par les lois Congolaises et internationales - Classe A de la convention Africaine sur la conservation de la nature et des ressources naturelles (1968); Convention de Washington (1973); Appendice I de CITES (1976-2013); IUCN Red List (2008) - les bonobos sont extrêmement menacés, et de ce fait de plus en plus en disparition. …”
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  12. 13032

    Analyzing Land Use/Land Cover Changes Using Google Earth Engine and Random Forest Algorithm and Their Implications to the Management of Land Degradation in the Upper Tekeze Basin,... by Alemu Eshetu Fentaw, Assefa Abegaz

    Published 2024-01-01
    “…Besides, auxiliary data were utilized to improve the classification of LULC classes. LULC was classified using the Random Forest (RF) classification algorithm in the Google Earth Engine (GEE). …”
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  13. 13033

    A Small Increase in Serum Creatinine within 48 h of Hospital Admission Is an Independent Predictor of In-Hospital Adverse Outcomes in Patients with ST-Segment Elevation Myocardial... by Jiajia Zhu, Wenxian Liu, Jiang Li, Changsheng Ma, Dong Zhao

    Published 2023-01-01
    “…Other risk factors included age ˃65 years, history of heart failure, use of glycoprotein IIb/IIIa inhibitors, aspirin or ACEI/ARB, LVEF <40%, Killip class III-IV, and increased SBP and heart rate. Conclusion. …”
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  14. 13034

    Evaluation of multidrug resistance in the Gram-negative microbiome of cancer patients and the adverse effects of their metabolites on albino rats and epithelial or fibroblasts cell... by Mervat Morsy Abbas Ahmed El-Gendy, Huda Ahmed Alghamdi, Khaled G. Abdel-Wahhab, Nabila S. Hassan, Aya A. M. El-Bondkly, Mohammed Abdel-Wahab, Ayman A. Farghaly, Ahmed Mohamed Ahmed El-Bondkly

    Published 2025-01-01
    “…Esraa 5 strains showed multidrug resistant profile against all antibiotic classes under study including penicillins, cephalosporins, carbapenems, fluoroquinolones, β-lactamase inhibitors combinations, folate synthesis pathway inhibitors, phosphonic, aminoglycosides, polymyxins, tetracyclines, macrolides, and chloramphenicol antibiotics. …”
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  15. 13035

    Evaluating CNN Architectures for the Automated Detection and Grading of Modic Changes in MRI: A Comparative Study by Li‐peng Xing, Gang Liu, Hao‐chen Zhang, Lei Wang, Shan Zhu, Man Du La Hua Bao, Yan‐ni Wang, Chao Chen, Zhi Wang, Xin‐yu Liu, Shuai Zhang, Qiang Yang

    Published 2025-01-01
    “…In addition, the region of interest was displayed using the class activation mapping heat map. Results On the unseen test set, the YOLOv8 and YOLOv5 models achieved precision of 81.60% and 61.59%, recall of 80.90% and 67.16%, mAP50 of 84.40% and 68.88%, and F1 of 0.81 and 0.60 respectively. …”
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  16. 13036

    Accuracy Assessment of Nonlinear Seismic Displacement Demand Predicted by Simplified Methods for the Plateau Range of Design Response Spectra by Pierino Lestuzzi, Lorenzo Diana

    Published 2019-01-01
    “…The accuracy of three methods for seismic displacement demand prediction is carefully examined for the plateau range of Type-1 soil class response spectra of Eurocode 8. The accuracy is assessed through comparing the displacement demand computed using nonlinear time-history analysis (NLTHA) with predictions using simplified methods. …”
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  17. 13037

    Spatiotemporal evolution of landscape ecological risk and its driving factors of the Beijing–Tianjin–Hebei major mineral belt, 1985–2022 by Yilin Wang, Xiaohong Wang, Wei Zhang, Weidong Man, Mingyue Liu, Linlin Jiao

    Published 2025-01-01
    “…Using 2015 as the time point, the landscape ecological risk in the study area was found to change, with the average value of landscape ecological risk for all classes of landscape ecological risk within 2015–2022 being lower than that of 1985–2015, with the exception of the high-risk area. …”
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  18. 13038

    A common mechanism of detoxification for lambda-cyhalothrin and abamectin in Cydia pomonella by Di Ju, Chao Hu, Peirong Li, Ping Gao, Yuting Li, Xueqing Yang

    Published 2023-11-01
    “…The resistance mechanisms to insecticides from different chemical classes are diverse but interconnected. Therefore, it is crucial to comprehend the commonalities in these mechanisms to effectively develop strategies for managing resistance. …”
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  19. 13039

    Assessment of anthropometric measurements and body composition of selected beginner South West Ethiopian soccer players by Esayas Haılu, Daniel Kıbret

    Published 2016-08-01
    “…To achieve the stated purpose, cross sectional descriptive research design was employed. …”
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  20. 13040

    Acesso à medicamentos oncológicos versus desabastecimento: desafios para o SUS by Evandro Abreu de Carvalho

    Published 2025-01-01
    “…As informações que compõem o banco de dados contêm o nome comercial, princípio ativo, apresentação do produto, classe terapêutica, tipo de interrupção e o motivo da interrupção. …”
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