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  1. 4061

    Comparisons of Machine Learning Methods in Ship Speed Prediction Based on Shipboard Observation by Weidong Gan, Dianguang Ma, Yu Duan

    Published 2025-05-01
    “…Observational data from a 20,000-ton bulk carrier, including variables such as latitude, longitude, GPS orientation, wind direction, wind speed, and main engine parameters, were collected and preprocessed to mitigate noise and handle missing values. …”
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    Article
  2. 4062

    Wave climate trends and breakpoints during the Atlantic Multidecadal Oscillation (AMO) in southern Brazil by Natan Zambroni Maia, Luis Pedro Almeida, Leonardo Emmendorfer, João Luiz Nicolodi, Lauro Calliari

    Published 2022-11-01
    “… Understanding how wave climate variability and its trends change over time are crucial analyses required to mitigate potential wave-induced impacts and adapt coastal areas to such effects. …”
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  3. 4063

    System Analysis on the Basis of Imprecise Cognitive Cards by A. V. Zagranovskaya

    Published 2018-07-01
    “…The opportunity to include in the model plenty of variables, even with imprecise values, direct and indirect link with different degree of precision, to combine accurate and expert knowledge, simplicity and speed of combining uncoordinated knowledge, build cognitive cards and obtain needed results, as well as possibility of scenario forecasting and planning make imprecise cognitive cards an essential tool of preliminary analysis of complicated systems.…”
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  4. 4064

    Particulate organic carbon in the southern Baltic Sea: numerical simulations and experimental data by Lidia Dzierzbicka-Głowacka, Karol Kuliński, Anna Maciejewska, Jaromir Jakacki, Janusz Pempkowiak

    Published 2010-12-01
    “…The results of the numerical simulations are in good agreement with observed values. The differencebetween the modelled and observed POC concentrations is equal to 3-28% and depends on the month for which the calculations were made,although no time trend of the difference is observed. …”
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    Article
  5. 4065

    Polarimetric Properties of Event Horizon Telescope Targets from ALMA by Ciriaco Goddi, Iván Martí-Vidal, Hugo Messias, Geoffrey C. Bower, Avery E. Broderick, Jason Dexter, Daniel P. Marrone, Monika Moscibrodzka, Hiroshi Nagai, Juan Carlos Algaba, Keiichi Asada, Geoffrey B. Crew, José L. Gómez, C. M. Violette Impellizzeri, Michael Janssen, Matthias Kadler, Thomas P. Krichbaum, Rocco Lico, Lynn D. Matthews, Antonios Nathanail, Angelo Ricarte, Eduardo Ros, Ziri Younsi, Kazunori Akiyama, Antxon Alberdi, Walter Alef, Richard Anantua, 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, Hope Boyce, Michael Bremer, Christiaan D. Brinkerink, Roger Brissenden, Silke Britzen, Dominique Broguiere, Thomas Bronzwaer, Do-Young Byun, John E. Carlstrom, Andrew Chael, Chi-kwan Chan, Shami Chatterjee, Koushik Chatterjee, Ming-Tang Chen, Yongjun Chen, Paul M. Chesler, Ilje Cho, Pierre Christian, John E. Conway, James M. Cordes, Thomas M. Crawford, Alejandro Cruz-Osorio, Yuzhu Cui, Jordy Davelaar, Mariafelicia De Laurentis, Roger Deane, Jessica Dempsey, Gregory Desvignes, Sheperd S. Doeleman, Ralph P. Eatough, Heino Falcke, Joseph Farah, Vincent L. Fish, Ed Fomalont, H. Alyson Ford, Raquel Fraga-Encinas, William T. Freeman, Per Friberg, Christian M. Fromm, Antonio Fuentes, Peter Galison, Charles F. Gammie, Roberto García, Olivier Gentaz, Boris Georgiev, Roman Gold, Arturo I. Gómez-Ruiz, 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, Makoto Inoue, Sara Issaoun, David J. James, Buell T. Jannuzi, 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, Michael Kramer, Carsten Kramer, Cheng-Yu Kuo, Tod R. Lauer, Sang-Sung Lee, Aviad Levis, Yan-Rong Li, Zhiyuan Li, Michael Lindqvist, 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, Alan P. Marscher, Satoki Matsushita, Lia Medeiros, Karl M. Menten, Izumi Mizuno, Yosuke Mizuno, James M. Moran, Kotaro Moriyama, Cornelia Müller, Gibwa Musoke, Alejandro Mus Mejías, Neil M. Nagar, Masanori Nakamura, Ramesh Narayan, Gopal Narayanan, Iniyan Natarajan, Joey Neilsen, Roberto Neri, Chunchong Ni, Aristeidis Noutsos, Michael A. Nowak, Hiroki Okino, Héctor Olivares, Gisela N. Ortiz-León, Tomoaki Oyama, Feryal Özel, 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, Ben Prather, Jorge A. Preciado-López, Dimitrios Psaltis, Hung-Yi Pu, Venkatessh Ramakrishnan, Ramprasad Rao, Mark G. Rawlings, Alexander W. Raymond, Luciano Rezzolla, Bart Ripperda, Freek Roelofs, Alan Rogers, 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, Tyler Trent, Efthalia Traianou, 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, Maciek Wielgus, George N. Wong, Qingwen Wu, Doosoo Yoon, André Young, Ken Young, Feng Yuan, Ye-Fei Yuan, J. Anton Zensus, Guang-Yao Zhao, Shan-Shan Zhao, Gabriele Bruni, A. Gopakumar, Antonio Hernández-Gómez, Ruben Herrero-Illana, Adam Ingram, S. Komossa, Y. Y. Kovalev, Dirk Muders, Manel Perucho, Florian Rösch, Mauri Valtonen

    Published 2021-01-01
    “…We also report the first unambiguous measurement of RM toward the M87 nucleus at millimeter wavelengths, which undergoes significant changes in magnitude and sign reversals on a one year timescale, spanning the range from −1.2 to 0.3 × 10 ^5 rad m ^−2 at 3 mm and −4.1 to 1.5 × 10 ^5 rad m ^−2 at 1.3 mm. Given this time variability, we argue that, unlike the case of Sgr A*, the RM in M87 does not provide an accurate estimate of the mass accretion rate onto the black hole. …”
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  6. 4066

    Optimization of synthesis conditions of hydrochar and pyrohydrochar from fish bones for their use in the adsorption of fluoride from water by Sergio Armando Cruz Briano, Nahum Andrés Medellín Castillo, Juan Carlos Moreno Piraján, Liliana Giraldo Gutiérrez, Guillermo Javier Castro Larragoitia, Pablo Delgado Sánchez, Alfredo Israel Flores Rojas, Hilda Guadalupe Cisneros Ontiveros

    Published 2024-12-01
    “…The optimum synthesis conditions to obtain the highest yields were 180 °C for 4 h and 350 °C for 1 h for HC and PHC, respectively, with 88.4 % and 96.2 % values. As for the maximum adsorption capacity, the optimum temperature and time values were 185 °C for 4 h and 378 °C for 1 h for HC and PHC, respectively, reaching adsorption capacities of 5.27 mg g−1 and 5.64 mg g−1. …”
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  7. 4067

    Improving HbA1c Levels by Methylcobalamin Vitamin in Diabetic Volunteers, Combined with Dapagliflozin as Type 2 Diabetes Mellitus Routine Treatment: A Controlled Randomized, Double... by Walid Aburayyan, Zainab Zakaraya, Mohammed Hamad, Ibrahim. S. Majali, Wael Abu Dayyih, Nesrin Seder, Haneen Alkhadeir, Anas Khaleel

    Published 2025-05-01
    “…HbA1c, Vitamin B12, and BMI were measured at time intervals of 0, 6, and 12 months. Using SPSS version 23, P values<0.05 were considered statistically significant. …”
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  8. 4068

    The combination of irrigation regime and water cutoff date increases the yield and water use efficiency of castor bean (Ricinus communis L.) by Alberto Mario Arroyo Avilez, Andres Felipe Gaona Acevedo, Luan Brioschi Giovanelli, João Carlos Cury Saad, Ícaro Monteiro Galvão, João Luis Zocoler, Mauricio Dutra Zanotto

    Published 2025-03-01
    “…The I1, I2, and I3 treatments showed the highest values and did not differ in the two cycles for the following variables: weight of 100 grains, grain yield, oil yield, WUE of the grain (WUE‐grains), and WUE of the oil (WUE‐oil). …”
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  9. 4069

    Matching Vegetation Indices and Tree Vigor in Pyrenean Silver Fir Stands by Juan Pablo Crespo-Antia, Antonio Gazol, Manuel Pizarro, Ester González de Andrés, Cristina Valeriano, Álvaro Rubio Cuadrado, Juan Carlos Linares, Jesús Julio Camarero

    Published 2024-12-01
    “…The EVI values allowed for the separation of stands according to their vigor earlier and more clearly than NDVI values, which did not show clear patterns throughout the time series. …”
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  10. 4070

    Oxidized Renewable Materials for the Removal of Cobalt(II) and Copper(II) from Aqueous Solution Using in Batch and Fixed-Bed Column Adsorption by Josilene Aparecida Vieira Rodrigues, Luide Rodrigo Martins, Laís Milagres Furtado, Amália Luísa Pedrosa Xavier, Francine Tatiane Rezende de Almeida, Ana Luísa da Silva Lage Moreira, Tânia Márcia Sacramento Melo, Laurent Frédéric Gil, Leandro Vinícius Alves Gurgel

    Published 2020-01-01
    “…Adsorption of Cu2+ and Co2+ on SBox in continuous was evaluated using a 22 factorial design with spatial time and initial metal concentration as independent variables and Qmax and effective use of the bed as responses. …”
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  11. 4071

    Quantitative Analysis of Structural Parameters Importance of Helical Temperature Microfiber Sensor by Artificial Neural Network by Juan Liu, Minghui Chen, Hang Yu, Jinjin Han, Hongyi Jia, Zhili Lin, Zhijun Wu, Jixiong Pu, Xining Zhang, Hao Dai

    Published 2021-01-01
    “…Compared with the actual values, the root-mean-square error (RMSE) and the correlation coefficient of the predicted values are 9.7 <inline-formula> <tex-math notation="LaTeX">$\times \,\,10^{-3}$ </tex-math></inline-formula> dB and 99.84&#x0025;, respectively. …”
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  12. 4072

    Children and adolescent's self-reported gaming habits – An exploratory, cross-sectional study of gaming among 9–15-year-old school children by Malin Olsen, Frida André, Carl Delfin, Anders Håkansson, Emma Claesdotter-Knutsson

    Published 2024-12-01
    “…Four variables emerged as significant predictors of wanting to game more: being a girl; being classified as an immediate gamer; having ever had arguments with their parents about gaming; and rating gaming as a highly valued activity. …”
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  13. 4073

    Trends in chronic kidney disease and calories from ultra-processed foods: NHANES at the highly granular level by Kristin E. Leonberg, Manish R. Maski, Tammy M. Scott, Yutong Chen, Bingjie Zhou, Elena N. Naumova

    Published 2025-04-01
    “…We applied a sequential model building approach incorporating time-fixed and time-varying socioeconomic and sociodemographic variables for the total sample and each race/ethnic group. …”
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  14. 4074

    Traffic flow modelling of vehicles on a six lane freeway: Comparative analysis of improved group method of data handling and artificial neural network model by Isaac Oyeyemi Olayode, Alessandro Severino, Frimpong Justice Alex, Elmira Jamei

    Published 2025-03-01
    “…Traffic flow variables, such as vehicle density, speed, time, and traffic volume, were considered as both inputs and outputs. …”
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  15. 4075

    Research on the Index Calculation Method for the Impact of Drought on Water Quality in the Nakdong River, Korea by Bu Geon Jo, Jaeyeon Lim, Joo-Heon Lee, Young Do Kim

    Published 2024-11-01
    “…Factors integrated into the index encompass both meteorological and hydrological indicators, with priority given to variables measurable in real time. Real-time parameters—such as flow rate, cumulative precipitation, days without rainfall, and sensor-based metrics (pH, electrical conductivity [EC], dissolved oxygen [DO], and total organic carbon [TOC])—were incorporated. …”
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  16. 4076

    The analysis of radioecological monitoring results in the vicinity of the Kursk Nuclear Power Plant by V. K. Kuznetsov, A. V. Panov, N. I. Sanzharova, N. N. Isamov, N. V. Andreeva, I. V. Geshel, E. V. Sidorova

    Published 2020-06-01
    “…The highest specific activity values of 137Cs and 90Sr in potatoes, vegetables, and gourds were 160 times lower than the SanPiN standards. …”
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  17. 4077

    Complex multifactorial prediction model for life-threatening ventricular arrhythmias in patients with myocardial infarction by E. V. Averyanova, A. A. Tonkoglaz, A. A. Chernova, N. A. Donetskaya, V. E. Oleynikov

    Published 2025-03-01
    “…MRI data established that the scar tissue mass (36,8±23,7 g) and percentage (28,5±19,8%) in the VT group was higher than in the comparison group (16,9 (6,5; 27,9) g (p=0,025) and 13,3 (5,8; 22,2)% (p=0,045), respectively).Univariate regression analysis revealed following factors associated with the VT risk: history of coronary artery disease, high NT-proBNP values, heart rate turbulence, microvolt TWA, end diastolic dimension, GLS, scar tissue mass, scar area from total myocardial mass (%), night-time heart rate variability parameters — ULfP, TINN, SDANN.Conclusion. …”
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  18. 4078

    Prevalence of Preeclampsia and Associated Factors among Antenatal Care Attending Mothers at Tirunesh Beijing General Hospital, Addis Ababa, Ethiopia by Esubalew Tesfahun, Selam Tadesse, Awraris Hailu, Abebe Minda, Meseret Ekubay, Behailu Tariku, Abinet Dagnaw

    Published 2023-01-01
    “…The presence of statistical association was determined using an adjusted odds ratio (AOR) with a 95% confidence interval (CI). Variables with P values less than 0.05 were considered statically significant. …”
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  19. 4079

    Spatiotemporal Evaluation of Soil Water Resources and Coupling of Crop Water Demand Under Dryland Conditions by Yaoyu Li, Kaixuan Li, Xifeng Liu, Zhimin Zhang, Zihao Gao, Qiang Wang, Guofang Wang, Wuping Zhang

    Published 2025-07-01
    “…Soil water availability closely followed precipitation distribution, with higher values in the south and west. Crop-specific analysis revealed that winter wheat and sorghum had the largest water deficits in dry years, necessitating timely supplemental irrigation. …”
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  20. 4080