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  1. 24361
  2. 24362

    Addressing Shortcomings in Contingency Standards of Care by Alexander Quan

    Published 2022-09-01
    “…A., Funni, S. A., Giblon, R. E., Inselman, J. W., Shah, N. D., Allen, S., Rushlow, D., & McCoy, R. …”
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  3. 24363

    ارزیابی مدلهای تلفیقی هوش مصنوعی در تخمین غلظت مواد جامد محلول در بالادست شهر ساری by علیرضا قائمی, مهدی اژدری مقدم, سارینا کیخا

    Published 2024-03-01
    “…برای مقایسه عملکرد مدل‌های مستقل و ترکیبی برای تخمین پارامترهای کیفی رودخانه در مراحل آموزش و آزمون، شاخص‌های آماری ضریب همبستگی (R)، ریشه میانگین مربعات خطا (RMSE)، میانگین انحراف خطا  (MBE)، ضریب نش (NSE)، تابع هدف (OBJ) و نسبت RSD، استفاده شدند. …”
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  4. 24364

    The Oxford handbook of language and law /

    Published 2012
    Table of Contents: “…Shuy -- Language and copyright / Ronald R. Butters -- The psycholinguistic basis of distinctiveness in tradmark law / Syugo Hotta and Masahiro Fujita -- Pt. …”
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  5. 24365

    Phylogenetic and pangenomic analyses of members of the family <i>Micrococcaceae</i> related to a plant-growth-promoting rhizobacterium isolated from the rhizosphere of potato (<i>S... by S. Yu. Shchyogolev, G. L. Burygin, L. A. Dykman, L. Yu. Matora

    Published 2024-05-01
    “…We report the results of taxonomic studies on members of the family Micrococcaceae that, according to the 16S rRNA, internal transcribed spacer 1 (ITS1), average nucleotide identity (ANI), and average amino acid identity (AAI) tests, are related to Kocuria rosea strain RCAM04488, a plant-growth-promoting rhizobacterium (PGPR) isolated from the rhizosphere of potato (Solanum tuberosum L.). …”
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  6. 24366

    Performance prediction and optimization of a high-efficiency tessellated diamond fractal MIMO antenna for terahertz 6G communication using machine learning approaches by Kamal Hossain Nahin, Jamal Hossain Nirob, Akil Ahmad Taki, Md Ashraful Haque, Narinderjit Sawaran SinghSingh, Liton Chandra Paul, Reem Ibrahim Alkanhel, Hanaa A. Abdallah, Abdelhamied A. Ateya, Ahmed A. Abd El-Latif

    Published 2025-02-01
    “…Specifically, a neural network is applied as a base learner for predicting antenna parameters, resulting in increased predictive performance, achieving R², EVS, MSE, RMSE, and MAE values of 0.96, 0.998, 0.00842, 0.00453, and 0.00999, respectively. …”
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  7. 24367

    Evaluation of the Education Plan and Activities of Swiss Sport Integrity. A report of a science-practice co-operation. by Christoffer Klenk, Jonas Personeni

    Published 2025-01-01
    “…Montreal: WADA. https://www.wada-ama.org Sanders, J. R. (Ed.). (2006). Handbuch der Evaluationsstandards: Die Standards des "Joint Committee on Standards for Educational Evaluation". …”
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  8. 24368

    Modelling the Thin-Layer Drying Kinetics of Marinated Beef during Infrared-Assisted Hot Air Processing of Biltong by Francis C. Muga, Moses O. Marenya, Tilahun S. Workneh

    Published 2021-01-01
    “…The IRHAD of marinated beef during its processing to biltong was best described by the two-term model since it had the highest R2 (0.9982-0.9993) and the lowest RMSE (0.0062-0.0099). …”
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  9. 24369

    Hard-soft-hard layered structure for enhanced mechanical properties in corrugated rolled AZ31 magnesium alloy sheets by Biwu Zhu, Yue Cui, Kang Xu, Xiao Liu, Fan Ye, Wenhui Liu, Pengcheng Guo, Yuanzhi Wu, Xiang Li

    Published 2025-03-01
    “…At an average strain rate of 4.3 s−1, the corrugated rolled plates with R = 3 mm achieve an optimal balance of strength (262.6 MPa) and ductility (30.6 %). …”
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  10. 24370

    Hiking Trails Facilitate the Spread of a Native High‐Arctic Species by Deborah Zani, Heike Lischke, Jonas Åkerman, Veiko Lehsten

    Published 2025-01-01
    “…Distance from the station (56% explained variation) and minimum distance from the trail (28%) significantly explained the species density across the research area (best GLM R2 = 0.755). The modelled species spread including the trail effect (fitted spread ~30 m yr.−1) managed to capture the maximum extent of the occupied area, whereas simulations assuming only local spread (~2 m yr.−1) underestimated the historical extent. …”
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  11. 24371

    Rehabilitation, reablement, and restorative care approaches in the aged care sector: a scoping review of systematic reviews by Claire Gough, Raechel A. Damarell, Janine Dizon, Paul D.S. Ross, Jennifer Tieman

    Published 2025-01-01
    “…Data charting and synthesis followed the Arksey and O’Malley approach and are reported according to PRISMA-ScR guidelines. Results Forty-one reviews met inclusion criteria. …”
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  12. 24372
  13. 24373

    Correlations of gene expression, codon usage bias, and evolutionary rates of the mitochondrial genome show tissue differentiation in Ophioglossum vulgatum by Jing Hao, Yingyi Liang, Ting Wang, Yingjuan Su

    Published 2025-02-01
    “…Although we have previously observed an anti-correlation between expression level (E) and evolutionary rate (R) in chloroplast genes, it remains unclear whether such an anti-correlation exists in plant mitochondrial genes. …”
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  14. 24374

    Ginsenoside Rk2 alleviates hepatic ischemia/reperfusion injury by enhancing AKT membrane translocation and activation by Hong Shen, Jiajun Fu, Jiayue Liu, Toujun Zou, Kun Wang, Xiao‐Jing Zhang, Jian‐Bo Wan

    Published 2025-01-01
    “…Rk2 significantly reduced inflammation and apoptosis caused by oxygen‐glucose deprivation and reperfusion in hepatocytes and dose dependently protected against hepatic I/R‐induced liver injury in mice. Integrated approaches, including network pharmacology, molecular docking, transcriptome analysis, and isothermal titration calorimetry, along with experimental validation, indicated that Rk2 protects against hepatic IRI by targeting and activating the AKT (RAC serine/threonine protein kinase) signaling pathway. …”
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  15. 24375

    A machine learning approach for predicting treatment response of hyponatremia by Tamaki Kinoshita, Shintaro Oyama, Daisuke Hagiwara, Yoshinori Azuma, Hiroshi Arima

    Published 2024-04-01
    “…Using 5–7 predictors (water intake, sodium intake, potassium intake, urine volume, s-Na concentration, serum potassium concentration, serum chloride concentration), the support vector regression model showed the best performance overall (root mean square error = 0.05396; R2 = 0.92), followed by the linear regression and regression tree models. …”
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  16. 24376

    Genome-Wide Identification of miRNAs in Oily Persimmon (<i>Diospyros oleifera</i> Cheng) and Their Functional Targets Associated with Proanthocyanidin Metabolism by Meng Zhang, Rong Wu, Xinlong Hu, Zhengrong Luo, Qinglin Zhang, Sichao Yang

    Published 2025-01-01
    “…The qRT-PCR assay was performed to elucidate the potential expression patterns of precursor miRNA and their targets during fruit development, and one target gene, <i>DkMYB22</i>, of miR2911 was verified to promote the conversion of soluble tannins into insoluble tannins involved in the deastringency in persimmons. …”
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  17. 24377

    Conventional magnetic resonance imaging combined with three-dimensional ultrasound for preoperative prediction of immediate ablation rate in high-intensity focused ultrasound treat... by Qiong Hao, Junwei Liu, Ruoying Hou, Wenxia Huang, Juan Liao, Zhenjiang Lin, Tijiang Zhang

    Published 2025-12-01
    “…The prediction efficacy of both models was statistically compared.Results The combined MRI–3D ultrasound model outperformed the conventional MRI model, with adjusted R2 values of 0.597 and 0.553, respectively, both statistically significant (p < 0.05). …”
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  18. 24378

    Advancing terrestrial snow depth monitoring with machine learning and L-band InSAR data: a case study using NASA’s SnowEx 2017 data by Ibrahim Olalekan Alabi, Ibrahim Olalekan Alabi, Hans-Peter Marshall, Jodi Mead, Ernesto Trujillo

    Published 2025-01-01
    “…Using 3 m resolution L-band InSAR products over Grand Mesa, Colorado, we compared the performance of three machine learning approaches (XGBoost, ExtraTrees, and Neural Networks) across open, vegetated, and the combined (open + vegetated) datasets using Root Mean Square Error (RMSE), Mean Bias Error (MBE), and R2 metrics. XGBoost emerged as the superior model, with RMSE values of 9.85 cm, 10.46 cm, and 9.88 cm for open, vegetated, and combined regions, respectively. …”
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  19. 24379

    Management of tuberculosis risk, screening and preventive therapy in patients with chronic autoimmune arthritis undergoing biotechnological and targeted immunosuppressive agents by Andrea Picchianti-Diamanti, Alessandra Aiello, Chiara De Lorenzo, Giovanni Battista Migliori, Delia Goletti

    Published 2025-02-01
    “…According to the current evidence, TNF-α inhibitors carry the greatest risk of TB progression among bDMARDs and tsDMARDs, such as JAK inhibitors and anti-IL-6R agents. The management of TB screening and the updated preventive therapy are reported.…”
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  20. 24380

    Cardiovascular Therapy Benefits of Novel Antidiabetic Drugs in Patients With Type 2 Diabetes Mellitus Complicated With Cardiovascular Disease: A Network Meta‐Analysis by Saixian Shi, Xiaofeng Li, Ye Chen, Jiahao Li, Yan Dai

    Published 2025-01-01
    “…Use the Cochrane bias risk assessment tool to evaluate the quality of the included literature. Use R 4.3.2 software to conduct network meta‐analysis for drug category comparison. …”
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