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  1. 14161
  2. 14162

    Comparing the Efficiency of Sediment Rating Curve and ANN Models in Estimating River Bed-load by Jamal Mosaffaie, Amin Saleh pourjam, Mahmudreza Tabatabaei

    Published 2017-09-01
    “…It should be noted that in this research, flow discharge was used as the only input of ANN model to estimate the bed-load sediments, while these models are capable of using various parameters affecting bed-load discharges as model inputs. 4- Conclusion The purpose of this study was to determine the suitable model to estimate bed-load sediments in 5 hydrometric stations located on different rivers of Iran. …”
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  3. 14163
  4. 14164

    The Variability of the Black Hole Image in M87 at the Dynamical Timescale by Kaushik Satapathy, Dimitrios Psaltis, Feryal Özel, Lia Medeiros, Sean T. Dougall, Chi-Kwan Chan, Maciek Wielgus, Ben S. Prather, George N. Wong, Charles F. Gammie, Kazunori Akiyama, Antxon Alberdi, Walter Alef, Juan Carlos Algaba, Richard Anantua, Keiichi Asada, Rebecca Azulay, Anne-Kathrin Baczko, David Ball, Mislav Baloković, John Barrett, Bradford A. Benson, Dan Bintley, Lindy Blackburn, Raymond Blundell, Wilfred Boland, Katherine L. Bouman, Geoffrey C. Bower, Hope Boyce, Michael Bremer, Christiaan D. Brinkerink, Roger Brissenden, Silke Britzen, Avery E. Broderick, Dominique Broguiere, Thomas Bronzwaer, Sandra Bustamente, Do-Young Byun, John E. Carlstrom, Andrew Chael, Koushik Chatterjee, Shami Chatterjee, Ming-Tang Chen, Yongjun Chen, Ilje Cho, Pierre Christian, John E. Conway, James M. Cordes, Thomas M. Crawford, Geoffrey B. Crew, Alejandro Cruz-Osorio, Yuzhu Cui, Jordy Davelaar, Mariafelicia De Laurentis, Roger Deane, Jessica Dempsey, Gregory Desvignes, Jason Dexter, Sheperd S. Doeleman, Ralph P. Eatough, Heino Falcke, Joseph Farah, Vincent L. Fish, Ed Fomalont, H. Alyson Ford, Raquel Fraga-Encinas, Per Friberg, Christian M. Fromm, Antonio Fuentes, Peter Galison, Roberto García, Olivier Gentaz, Boris Georgiev, Ciriaco Goddi, Roman Gold, Arturo I. Gómez-Ruiz, José L. Gómez, Minfeng Gu, Mark Gurwell, Kazuhiro Hada, Daryl Haggard, Michael H. Hecht, Ronald Hesper, Luis C. Ho, Paul Ho, Mareki Honma, Chih-Wei L. Huang, Lei Huang, David H. Hughes, Shiro Ikeda, Makoto Inoue, Sara Issaoun, David J. James, Buell T. Jannuzi, Michael Janssen, Britton Jeter, Wu Jiang, Alejandra Jimenez-Rosales, Michael D. Johnson, Svetlana Jorstad, Taehyun Jung, Mansour Karami, Ramesh Karuppusamy, Tomohisa Kawashima, Garrett K. Keating, Mark Kettenis, Dong-Jin Kim, Jae-Young Kim, Jongsoo Kim, Junhan Kim, Motoki Kino, Jun Yi Koay, Yutaro Kofuji, Patrick M. Koch, Shoko Koyama, Carsten Kramer, Michael Kramer, Thomas P. Krichbaum, Cheng-Yu Kuo, Tod R. Lauer, Sang-Sung Lee, Aviad Levis, Yan-Rong Li, Zhiyuan Li, Michael Lindqvist, Rocco Lico, Greg Lindahl, Jun Liu, Kuo Liu, Elisabetta Liuzzo, Wen-Ping Lo, Andrei P. Lobanov, Laurent Loinard, Colin Lonsdale, Ru-Sen Lu, Nicholas R. MacDonald, Jirong Mao, Nicola Marchili, Sera Markoff, Daniel P. Marrone, Alan P. Marscher, Iván Martí-Vidal, Satoki Matsushita, Lynn D. Matthews, Karl M. Menten, Izumi Mizuno, Yosuke Mizuno, James M. Moran, Kotaro Moriyama, Monika Moscibrodzka, Cornelia Müller, Alejandro Mus Mejías, Gibwa Musoke, Hiroshi Nagai, Neil M. Nagar, Masanori Nakamura, Ramesh Narayan, Gopal Narayanan, Iniyan Natarajan, Antonios Nathanail, Joey Neilsen, Roberto Neri, Chunchong Ni, Aristeidis Noutsos, Michael A. Nowak, Hiroki Okino, Héctor Olivares, Gisela N. Ortiz-León, Tomoaki Oyama, Daniel C. M. Palumbo, Jongho Park, Nimesh Patel, Ue-Li Pen, Dominic W. Pesce, Vincent Piétu, Richard Plambeck, Aleksandar PopStefanija, Oliver Porth, Felix M. Pötzl, Jorge A. Preciado-López, Hung-Yi Pu, Venkatessh Ramakrishnan, Ramprasad Rao, Mark G. Rawlings, Alexander W. Raymond, Luciano Rezzolla, Bart Ripperda, Freek Roelofs, Alan Rogers, Eduardo Ros, Mel Rose, Arash Roshanineshat, Helge Rottmann, Alan L. Roy, Chet Ruszczyk, Kazi L. J. Rygl, Salvador Sánchez, David Sánchez-Arguelles, Mahito Sasada, Tuomas Savolainen, F. Peter Schloerb, Karl-Friedrich Schuster, Lijing Shao, Zhiqiang Shen, Des Small, Bong Won Sohn, Jason SooHoo, He Sun, Fumie Tazaki, Alexandra J. Tetarenko, Paul Tiede, Remo P. J. Tilanus, Michael Titus, Kenji Toma, Pablo Torne, Efthalia Traianou, Tyler Trent, Sascha Trippe, Ilse van Bemmel, Huib Jan van Langevelde, Daniel R. van Rossum, Jan Wagner, Derek Ward-Thompson, John Wardle, Jonathan Weintroub, Norbert Wex, Robert Wharton, Kaj Wiik, Qingwen Wu, Doosoo Yoon, André Young, Ken Young, Ziri Younsi, Feng Yuan, Ye-Fei Yuan, J. Anton Zensus, Guang-Yao Zhao, Shan-Shan Zhao

    Published 2022-01-01
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  5. 14165

    Investigation of the «Structure – analgesic activity» Relationship Using Molecular Docking for Cyclooxygenases 1 and 2 in the Series 5-<i>N</i>-arylaminocarbonyl-6-(get)aryl-4-meth... by N. A. Buzmakova, K. V. Аndryukov, T. M. Zamaraeva, I. P. Rudakova, K. V. Podchezertseva, A. S. Goman, E. V. Avdeeva, N. V. Slepova, N. V. Dozmorova

    Published 2023-12-01
    “…To identify the dependence "structure – analgesic activity" using the method of molecular docking for cyclooxygenase type 1 and type 2 in the series of 5-N-arylaminocarbonyl-6-(get)aryl-4-methyl-1,2,3,6-tetrahydropyrimidine-2-thions.Materials and methods. 19 compounds 5-N-arylaminocarbonyl-6-(get)aryl-4-methyl-1,2,3,6-tetrahydropyrimidine-2-thions are objects of research The study of the interaction of tetrahydropyridine derivatives with COX 1 and 2 was carried out by the method of molecular docking by the AutoDock 4 program using scoring functions.Results and discussion. …”
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  6. 14166
  7. 14167

    Development and evaluation of predictive models for pregnancy risk in UK dairy cows by Matthew Barden, Robert Hyde, Martin Green, Andrew Bradley, Edna Can, Rachel Clifton, Katharine Lewis, Al Manning, Luke O'Grady

    Published 2024-12-01
    “…The predictive models reported here could theoretically be used to identify subgroups of animals with similar pregnancy risk to facilitate targeted reproductive management; or provide information about cows' relative pregnancy risk compared with the herd average, which may support on-farm decision making. Further research is needed to evaluate the generalizability of these predictive models and understand the source of variation in ECE between herds; however, this study demonstrates that it is possible to accurately predict pregnancy risk in dairy cows using readily available farm data.…”
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  8. 14168

    A time-dependent three-dimensional dayside magnetopause model based on quasi-elastodynamic theory by Y. Gu, Y. Gu, Y. Gu, Y. Wang, Y. Wang, F. Wei, F. Wei, X. Feng, X. Feng, A. Samsonov, X. Song, B. Wang, B. Wang, P. Zuo, P. Zuo, C. Jiang, C. Jiang, Y. Chen, Y. Chen, X. Xu, Z. Zhou

    Published 2025-07-01
    “…<p>The interaction between the solar wind and Earth's magnetosphere is a critical area of research in space weather and space physics. Accurate determination of the magnetopause position is essential for understanding magnetospheric dynamics. …”
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  9. 14169
  10. 14170

    Optimized Type-2 Fuzzy Logic Control for Low-Speed Vehicle Pedal Pressing Automation Using Hybrid Spiral Sine Cosine Algorithm by Azrul Azim Abdullah Hashim, Nor Maniha Abdul Ghani, Salmiah Ahmad, Mohd Ruzaini Hashim, Noor Zirwatul Ahlam Naharuddin, Addie Irawan

    Published 2025-01-01
    “… This paper describes the systematic design and experimental analysis of a Fuzzy Logic Controller (FLC) to govern vehicle speed for low-speed driving by adjusting an attached linear actuator that governs the vehicle's pedal. The research investigates two FLC approaches: the standard Type 1 FLC and the advanced Type 2 FLC, both optimized using the Hybrid Spiral Sine Cosine Algorithm (SSCA). …”
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  11. 14171
  12. 14172

    Persamaan Empiris Sederhana untuk Memprediksikan Ukuran Partikel dari Enkapsulasi Oleoresin Jahe Merah by Jayanudin Jayanudin, Rochmadi Rochmadi, Moh. Fahrurrozi, Sang Kompiang Wirawan

    Published 2018-09-01
    “…By comparing the data diameter of the research and calculation results obtained % error of 8.05% for the influence of chitosan concentration and 7.52% for the effect of stirring speed.…”
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  13. 14173

    Meta-Features Extracted from Use of kNN Regressor to Improve Sugarcane Crop Yield Prediction by Luiz Antonio Falaguasta Barbosa, Ivan Rizzo Guilherme, Daniel Carlos Guimarães Pedronette, Bruno Tisseyre

    Published 2025-05-01
    “…This study is based on an experiment conducted by researchers from the Commonwealth Scientific and Industrial Research Organisation (CSIRO), who employed a UAV-mounted LiDAR and multispectral imaging sensors to monitor two sugarcane field trials subjected to varying nitrogen (N) fertilization regimes in the Wet Tropics region of Australia. …”
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  14. 14174

    Hematological features of mine-blast trauma, accompanied by acubarotrauma, among servicemen - participants in high-intensity combat operations by S. A. Husieva, G. V. Osyodlo, I. P. Goncharov, O. Ya. Antonyuk, Yu. Ya. Kotyk, A. V. Gusev, М. Е. Krol, I. V. Malysh, Ya. M. Klimenko, S. V. Ткаchenko

    Published 2024-12-01
    “…For each group of patients, the arithmetic mean (M), the mean square deviation (Ϭ), and the error of the arithmetic mean (m) were calculated. …”
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  15. 14175
  16. 14176

    AI-Based Data Analysis of Contaminant Transportation with Regression of Oxygen and Nutrients Measurement by Hasib Khan, Jehad Alzabut, Mohamed Tounsi, Dalal Khalid Almutairi

    Published 2025-02-01
    “…This research is based on the artificial intelligence approach for the error and regression analysis of contaminants, nutrients, and oxygen level in water bodies using a Caputo’s difference model. …”
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  17. 14177

    Epidemiology and Risk Prediction Model of Multidrug-Resistant Organism Infections After Liver Transplant Recipients: A Single-Center Cohort Study by Chuanlin Chen, Desheng Li, Zhengdon Zhou, Qinghua Guan, Bo Sheng, Yongfang Hu, Zhenyu Zhang

    Published 2025-04-01
    “…The model incorporates five easily obtainable clinical parameters (ascites, total bilirubin, albumin, preoperative ICU stay history, and length of ICU stay) and demonstrates strong predictive performance, facilitating the early identification of high-risk patients. Future research should focus on refining the model by incorporating additional clinical factors (e.g., immunosuppressive therapy adherence) and validating its generalizability in multicenter, large-sample cohorts to enhance its clinical utility.…”
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  18. 14178

    Health-Related quality of life and the impact of traditional, complementary and integrative Medicine - an Online - Representative Cross-Sectional survey in Germany by Miriam Ortiz, Manfred Wischnewsky, Michael Jeitler, Benno Brinkhaus, Andreas Michalsen, Rasmus Hoffmann, Christian S. Kessler

    Published 2025-08-01
    “…Results The mean ± standard error and median (interquartile range) were 68.2 ± 0.4 and 73.0 (32.5) for EQ VAS, and 0.85 ± 0.00 and 0.92 (0.18) for the EQ-5D-5 L index. …”
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  19. 14179

    Nonlinear Dynamical Model and Analysis of Emotional Propagation Based on Caputo Derivative by Liang Hong, Lipu Zhang

    Published 2025-06-01
    “…This framework advances the mechanistic understanding of co-evolutionary dynamics in emotion-modulated social networks, supporting applications in clinical intervention design, collective sentiment modeling, and psychophysiological coupling research.…”
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  20. 14180

    Efek Interaksi Ragi Tape dan Ragi Roti terhadap Kadar Bioetanol Ketela Pohon (Manihot Utilissima, Pohl) Varietas Mukibat by Tri Budi Kurniawan, Siti Harnina Bintari, R. Susanti

    Published 2014-09-01
    “…The samples used were mukibat cassava aged 7 months with an average weight of 500 grams. Research design was completely randomized design factorial, tape yeast concentration (0%, 0.3%, 0.6% and 0.9%) and the concentration of yeast bread (0%, 0.3%, 0.6% and 0.9%) with 3 replications. …”
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