Showing 1,141 - 1,160 results of 1,438 for search 'reference root', query time: 0.14s Refine Results
  1. 1141

    Enhancing public health surveillance: SARIMAX model incorporating Baidu search index for HCV prediction in China by Huan Ning, Yingji Lan, Qianqian Huang, Tingyan Luo, Jing Yang, Jie Zhou, Zhuoxin Li, Ping Cui, Hao Liang, Jiegang Huang

    Published 2025-04-01
    “…The performance of these predictive models was evaluated using mean absolute error (MAE), root mean square error (RMSE), and mean absolute percentage error (MAPE). …”
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  2. 1142

    Obliczanie Sił Krytycznych dla Sprężystych Prętów Niepryzmatycznych Metoda Interpolacji Częściowej by M. Życzkowski

    Published 1956-09-01
    “…This method enables us to use the results of Kalähne and Mac Mahon, and to calculate with required accuracy the roots of equations of the type (3.20): The amount of calculation work is relatively small. …”
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  3. 1143

    Transcriptome and Physiological Analysis Reveals the Mechanism of Abscisic Acid in Regulating Cadmium Uptake and Accumulation in the Hyperaccumulator <i>Phytolacca acinosa</i> Roxb... by Qin Xie, Wenting Xu, Qing Wang, Feihong Yao, Yachao Jiang, Haijia Cao, Wanhuang Lin

    Published 2025-05-01
    “…The results show that ABA treatment affected gene expression in <i>P. acinosa</i> roots under Cd stress. This study identified 5788 differentially expressed genes (DEGs) (2541 up-regulated and 3247 down-regulated). …”
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  4. 1144

    Development of a multi-targeted real-time PCR assay for the detection of the grapevine pathogen Xylophilus ampelinus by Aleksander Benčič, Alexandra Bogožalec Košir, Janja Matičič, Manca Pirc, Neža Turnšek, Tanja Dreo

    Published 2025-07-01
    “…On the basis of these sequences, multiple real-time PCR assays were designed, and their specificity and sensitivity were assessed, as well as their performance validated across three different grapevine tissues, including leaves, roots, and xylem. Results The newly designed real-time PCR assays were evaluated via high throughput testing for specificity and sensitivity and compared with a reference assay. …”
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  5. 1145

    VHR Multispectral Satellite Image Classification with Kolmogorov-Arnold Networks for Urban Applications by M. Fawzy, M. Fawzy, Á. Barsi

    Published 2025-07-01
    “…The Kolmogorov-Arnold Network (KAN) is a computational framework rooted in the Kolmogorov-Arnold representation theorem, which states that any continuous function of multiple variables can be expressed as a superposition of univariate functions. …”
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  6. 1146

    Review and metabolomic profiling of unsolved case reveals newly reported autosomal dominant congenital disorder of glycosylation, type Iw formerly thought to only be an autosomal r... by Kimberly M. Ezell, Yutaka Furuta, Devin Oglesbee, Eniko K. Pivnick, David Rinker, Jonathan H. Sheehan, Rory J. Tinker, Rizwan Hamid, Joy D. Cogan, Lynette Rives, Serena Neumann, Brian Corner, Mary Koziura, John A. Phillips, III

    Published 2024-12-01
    “…This report describes a 17-year-old male who was referred to the Undiagnosed Diseases Network (UDN) with a history of macrocephaly, failure to thrive, short stature, epilepsy, autism, attention-deficit/hyperactivity disorder, mild developmental delay, intermittent hypotonia, dysmorphic features, and mildly enlarged aortic root. …”
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  7. 1147

    Successful conversion surgery of distal pancreatectomy with celiac axis resection (DP-CAR) with double arterial reconstruction using saphenous vein grafting for locally advanced pa... by Yoshiki Murase, Daisuke Ban, Aya Maekawa, Shuichi Watanabe, Yoshiya Ishikawa, Keiichi Akahoshi, Kosuke Ogawa, Hiroaki Ono, Atsushi Kudo, Toshifumi Kudo, Shinji Tanaka, Minoru Tanabe

    Published 2020-12-01
    “…Because the tumor had invaded the root of the gastroduodenal artery, we performed DP-CAR with resection of the gastroduodenal artery, followed by arterial reconstruction of the proper hepatic and left gastric arteries, anastomosed with the abdominal aorta using a great saphenous vein graft in the shape of a “Y”. …”
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  8. 1148

    Hepatoprotective potential of goutweed (aegopodium podagraria l.): screening by О. О. Koyro, С. Yu. Shtrygol

    Published 2013-06-01
    “…The experimental groups were as follows: intact mice, positive control group (only carbon tetrachloride dissolved in olive oil (1:1) was given orally at a dose of 10 ml/kg b.w.) and groups where animals received the goutweed roots, leaves, flowers drugs such as the tincture (1 and 5 ml/kg), the extract (200 mg/kg and 1 g/kg), as well as goutweed leaves biologically active substances, namely, protein-polysaccharide complex (200 mg/kg), kaempferol 3-О-β-D-galactopiranoside (flavonoid trifolin, 50 mg/kg) and reference-drug silibor (200 mg/kg) during 3 days before and 2 hours after intoxication. …”
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  9. 1149

    Food value chains configurations and resilience of rural mountain communities: three dairy business models in central Apennines (Italy) by Angelo Belliggiano, Corrado Ievoli, Sara Bispini, Mauro Conti

    Published 2024-12-01
    “…The research was held in “Alto Molise,” a mountain area embedded in a small region of southern Italy, focusing on the dairy value chain of the “caciocavallo cheese,” historically rooted in the socio-ecological system of the mountain reference landscape. …”
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  10. 1150

    The Charm of the City in Musical Narration: The Construction of Chengdu's Local Image in Song by Peng Rong, Liu Chao

    Published 2024-11-01
    “…Moreover, the model proposed in the study provides theoretical and methodological reference for the creation of charming cities, construction of local imagery, and image promotion.…”
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  11. 1151

    Advancing conventional guidelines in phytotoxicity studies assessing toxicant’s impact on seedling morphology and anatomy by Bárbara S. Diogo, Sara Rodrigues, Sara C. Antunes

    Published 2025-07-01
    “…A standard germination assay with Lactuca sativa was conducted using potassium dichromate (PD, reference compound) at 0.00, 100.5, 120.6, 144.7, 173.6, 208.3, and 250.0 mg/L. …”
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  12. 1152

    Understanding discrepancies in soil moisture from SMAP and AMSR2: insights into performance and dry-down behavior by Zhiqing Peng, Tianjie Zhao, Jiancheng Shi, Lu Hu, Thomas J. Jackson, Michael H. Cosh, Hui Lu, Xiaodong Gao, Jingyao Zheng, Panpan Yao, Qian Cui, Peng Guo, Peilin Song, Zushuai Wei, Mengjia Wang, Anmin Fu

    Published 2025-12-01
    “…The results indicate that the Pearson correlation coefficients (R) of MCCA SMAP and MCCA AMSR2 SM in 23 dense networks are 0.795 and 0.664, respectively, with unbiased root-mean-square deviation (ubRMSD) of 0.041 m3/m3 and 0.048 m3/m3, respectively. …”
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  13. 1153

    Construction and application of a TCN-LSTM-SVM-based time series prediction model for water inflow in coal seam roofs by Xuan LIU, Yadong JI, Kaipeng ZHU, Chunhu ZHAO, Kai LI, Chaofeng LI, Chenhan YUAN, Panpan LI, Pengzhen YAN

    Published 2025-06-01
    “…MethodsTo construct a prediction model of water inflow in mines under threat of water hazards from extremely thick sandstones aquifer in West China, this study investigated a typical mine (also referred to as the studied mine) severely affected by such water hazards in the Binchang mining area of Shaanxi Province. …”
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  14. 1154

    Physiological defensive modes to biologically induce drought tolerance in broccoli via inoculation with mycorrhiza and Trichoderma by Amr A. Metwally, Gamal S. Riad, Abdalla A. Ghoname, Sameh M. El-Sawy, Dina S. Salama, Layla Alkhawaga, Mostafa G. Shahin, Hani Saber Saudy, Nora A. AbdelMotlb

    Published 2025-07-01
    “…A mycorrhiza inoculum (AMF) and Trichoderma (TRI) inoculum were applied under 100, 80, 60 and 40% of irrigation requirements, IR (referred to as IR100, IR80, IR60 and IR40, respectively). …”
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  15. 1155

    Validity of a machine learning estimation of blood volumes during altitude training by Basile Moreillon, Bastien Krumm, Lena Mettraux, Julian Wackernell, James Spragg, Martin Faulhaber, Raphael Faiss

    Published 2025-01-01
    “…Predicted PV and Hbmass were both significantly correlated to measured PV and Hbmass (R2=0.53, p<0.001; R2=0.26; p<0.001; respectively) with an estimated PV decrease of -162 ± 232 mL. The root mean square error (RMSE) for the estimation between predicted and measured difference was of 95 mL. …”
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  16. 1156

    Quantitative estimate of several sources of uncertainty in drone-based methane emission measurements by T. H. Mohammadloo, M. Jones, B. van de Kerkhof, K. Dawson, B. J. Smith, S. Conley, A. Corbett, A. Corbett, R. IJzermans

    Published 2025-03-01
    “…Remotely piloted aircraft systems (commonly referred to as “drones”) can play a pivotal role in the quantification of site-level methane emissions. …”
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  17. 1157

    Mechanisms behind zinc transport in a calcareous soil-wheat system and their impacts on human health by Su-rong Zhang, Jun-quan Yang, Da-ming Wang, Xue-sheng Gao, Ji-hong Liu, Jing Zhang, Xiao-long Duan, Jian-hua Wang, Ling-zhi Yang

    Published 2025-07-01
    “…The results indicate that the zinc concentrations in various wheat organs decreased in the order of roots, stems, and leaves in the jointing stage and in the order of seeds, roots, and stems in the mature stage. …”
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  18. 1158

    A Fusion Strategy for High-Accuracy Multilayer Soil Moisture Downscaling and Mapping by Xu Zhang, Xin Liu, Xiang Zhang, Aminjon Gulakhmadov, Jiefeng Wu, Xihui Gu, Won-Ho Nam, Panda Rabindra Kumar, Veber Afonso Figueiredo Costa, Mahlatse Kganyago, Berhanu Keno Terfa, Wenying Du, Chao Wang, Peng Wang, Jing Yuan, Nengcheng Chen

    Published 2025-01-01
    “…Experimental results show that the Pearson correlation coefficient (PCC) of SSM and RZSM data downscaled by LightGBM are 0.699 and 0.754, with root mean square error (RMSE) values of 0.053 and 0.055 m<sup>3</sup>/m<sup>3</sup>, respectively. …”
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  19. 1159
  20. 1160

    Potential impact and mechanism of aged polyethylene microplastics on nitrogen assimilation of Lactuca sativa L. by Xiaoli Mou, Hedong Zhu, Renrui Dai, Li Lu, Shengqi Qi, Min Zhu, Yuyang Long, Nan Ma, Chao Chen, Jiali Shentu

    Published 2025-02-01
    “…The results showed that the particle size of MNPs accumulated in lettuce decreased from root > stem > leaf. Compared to CK, the fresh plant weight significantly decreased by 40.84 and 51.62 % in AP20 and AP0.1, respectively. …”
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