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  1. 13681
  2. 13682

    Dynamic Relationship between the Iranian Stock Market and Commodity Markets: A TVP-VAR Approach and Portfolio Optimization by Hadi Esmaeilpour, Emad Sharifbagheri

    Published 2025-06-01
    “…The results indicate that cross-market interactions account for approximately 42.69% of the forecast error variance, revealing significant spillovers among these markets. …”
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    Article
  3. 13683
  4. 13684

    First M87 Event Horizon Telescope Results. III. Data Processing and Calibration by The Event Horizon Telescope Collaboration, Kazunori Akiyama, Antxon Alberdi, Walter Alef, Keiichi Asada, Rebecca Azulay, Anne-Kathrin Baczko, David Ball, Mislav Baloković, John Barrett, Dan Bintley, Lindy Blackburn, Wilfred Boland, Katherine L. Bouman, Geoffrey C. Bower, Michael Bremer, Christiaan D. Brinkerink, Roger Brissenden, Silke Britzen, Avery E. Broderick, Dominique Broguiere, Thomas Bronzwaer, Do-Young Byun, John E. Carlstrom, Andrew Chael, Chi-kwan Chan, Shami Chatterjee, Koushik Chatterjee, Ming-Tang Chen, Yongjun Chen, Ilje Cho, Pierre Christian, John E. Conway, James M. Cordes, Geoffrey B. Crew, Yuzhu Cui, Jordy Davelaar, Mariafelicia De Laurentis, Roger Deane, Jessica Dempsey, Gregory Desvignes, Jason Dexter, Sheperd S. Doeleman, Ralph P. Eatough, Heino Falcke, Vincent L. Fish, Ed Fomalont, Raquel Fraga-Encinas, Per Friberg, Christian M. Fromm, José L. Gómez, Peter Galison, Charles F. Gammie, Roberto García, Olivier Gentaz, Boris Georgiev, Ciriaco Goddi, Roman Gold, Minfeng Gu, Mark Gurwell, Kazuhiro Hada, 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, Michael D. Johnson, Svetlana Jorstad, Taehyun Jung, Mansour Karami, Ramesh Karuppusamy, Tomohisa Kawashima, Garrett K. Keating, Mark Kettenis, Jae-Young Kim, Junhan Kim, Jongsoo Kim, Motoki Kino, Jun Yi Koay, Patrick M. Koch, Shoko Koyama, Michael Kramer, Carsten Kramer, Thomas P. Krichbaum, Cheng-Yu Kuo, Tod R. Lauer, Sang-Sung Lee, Yan-Rong Li, Zhiyuan Li, Michael Lindqvist, Kuo Liu, Elisabetta Liuzzo, Wen-Ping Lo, Andrei P. Lobanov, Laurent Loinard, Colin Lonsdale, Ru-Sen Lu, Nicholas R. MacDonald, Jirong Mao, Sera Markoff, Daniel P. Marrone, Alan P. Marscher, Iván Martí-Vidal, Satoki Matsushita, Lynn D. Matthews, Lia Medeiros, Karl M. Menten, Yosuke Mizuno, Izumi Mizuno, James M. Moran, Kotaro Moriyama, Monika Moscibrodzka, Cornelia Müller, Hiroshi Nagai, Neil M. Nagar, Masanori Nakamura, Ramesh Narayan, Gopal Narayanan, Iniyan Natarajan, Roberto Neri, Chunchong Ni, Aristeidis Noutsos, Hiroki Okino, Héctor Olivares, Gisela N. Ortiz-León, Tomoaki Oyama, Feryal Özel, Daniel C. M. Palumbo, Nimesh Patel, Ue-Li Pen, Dominic W. Pesce, Vincent Piétu, Richard Plambeck, Aleksandar PopStefanija, Oliver Porth, 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, Eduardo Ros, Mel Rose, Arash Roshanineshat, Helge Rottmann, Alan L. Roy, Chet Ruszczyk, Benjamin R. Ryan, 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, Fumie Tazaki, Paul Tiede, Remo P. J. Tilanus, Michael Titus, Kenji Toma, Pablo Torne, Tyler Trent, Sascha Trippe, Shuichiro Tsuda, Ilse van Bemmel, Huib Jan van Langevelde, Daniel R. van Rossum, Jan Wagner, John Wardle, Jonathan Weintroub, Norbert Wex, Robert Wharton, Maciek Wielgus, George N. Wong, Qingwen Wu, André Young, Ken Young, Ziri Younsi, Feng Yuan, Ye-Fei Yuan, J. Anton Zensus, Guangyao Zhao, Shan-Shan Zhao, Ziyan Zhu, Roger Cappallo, Joseph R. Farah, Thomas W. Folkers, Zheng Meyer-Zhao, Daniel Michalik, Andrew Nadolski, Hiroaki Nishioka, Nicolas Pradel, Rurik A. Primiani, Kamal Souccar, Laura Vertatschitsch, Paul Yamaguchi

    Published 2019-01-01
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  5. 13685
  6. 13686

    Comparative analysis of machine learning models for predicting water quality index in Dhaka’s rivers of Bangladesh by Mosaraf Hosan Nishat, Md. Habibur Rahman Bejoy Khan, Tahmeed Ahmed, Syed Nahin Hossain, Amimul Ahsan, M. M. El-Sergany, Md. Shafiquzzaman, Monzur Alam Imteaz, Mohammad T. Alresheedi

    Published 2025-03-01
    “…The ANN model demonstrated superior predictive capability, achieving a Root Mean Squared Error (RMSE) of 2.34, a Mean Absolute Error (MAE) of 1.24, a Nash–Sutcliffe Efficiency (NSE) of 0.97, and a Coefficient of Determination (R2) of 0.97. …”
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  7. 13687

    Identification and Location Method of Bitter Gourd Picking Point Based on Improved YOLOv5-Seg by Sheng Jiang, Yechen Wei, Shilei Lyu, Hualin Yang, Ziyi Liu, Fangnan Xie, Jiangbo Ao, Jingye Lu, Zhen Li

    Published 2024-10-01
    “…The experimental data show that the research method in this paper has certain reference significance for the accurate identification and location of bitter gourd picking points.…”
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    Article
  8. 13688

    Estimating Daily Reference Crop Evapotranspiration in Northeast China Using Optimized Empirical Models Based on Heuristic Intelligence Algorithms by Zongyang Li, Zhengxin Zhao, Liwen Xing, Lu Zhao, Ningbo Cui, Huanjie Cai

    Published 2025-02-01
    “…However, the accuracy of ETo estimation needs to be further improved in the Northeast region of China, the country’s main grain production area. In this research, meteorological data from 30 sites in Northeast China over the past 59 years (1961–2019) were selected to evaluate the simulation accuracy of 11 ETo estimation models. …”
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  9. 13689

    Exploring the causal relationship between 16 eye diseases and stroke and their subtypes from a genome-wide perspective by Bingxue Su, Yinxiang Sun, Wenlong Yu, Chaoqun Wang, Qing Xia, Yizhun Zhu

    Published 2025-08-01
    “…Nevertheless, it is imperative that these causal relationships be subjected to further verification through fundamental research and Randomized Controlled Trial (RCT).…”
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  10. 13690

    Avaliação de três modelos dielétricos derivados da função [(épsilon'-1)/épsilon"] na estimativa do teor de água de sementes de feijão Evaluation of three dielectric models derived... by Pedro A. Berbert, Daniel M. de Queiroz, Elias F. de Sousa, Alexandre P. Viana, Edenio Detmann, Vinícius de O. Carlesso

    Published 2004-04-01
    “…The model capable of estimating moisture content of common bean with the highest degree of accuracy, uses two frequencies and was derived by combining the function [(epsilon'-1)/epsilon"]/[(2<FONT FACE=Symbol>Öe</FONT>')/(1+<FONT FACE=Symbol>Öe</FONT>')] and ln(epsilon"), producing results with a standard error of estimate and maximum error of 0.5 and 1.0 percentage point moisture, on wet basis, respectively.…”
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  11. 13691

    Sistem Pengambilan Keputusan dalam Penentuan Kelas Jabatan Fungsional Umum (JFU) Pegawai Negeri Sipil (PNS) Menggunakan Metode Multi Rough Set dan Fuzzifikasi by Asri Yulianti

    Published 2019-01-01
    “…The multi Rough Set method is applied by dividing the data set into several similar attributes data sets. Based on the research that has been conducted, it can be seen that the Multi Rough Set Method is a good classifier method in decision making of employee competency classification in General Functional Work. …”
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  12. 13692
  13. 13693
  14. 13694
  15. 13695

    Software-Defined Optical Coherence Measurement of Seawater Refractive Index Variations by Jiaxin Zhao, Xinyi Zhang, Qi Wang, Liyan Li, Songtao Fan, Yongjie Wang, Yan Zhou

    Published 2025-05-01
    “…This research provides a novel demodulation method for high-precision measurements of seawater refractive index changes under different marine environments.…”
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  16. 13696

    Quantitative detection of alkali metal Na based on laser-induced breakdown spectroscopy technology by Sijie SHEN, Chi LI, Wangzheng ZHOU, Zhenzhen WANG, Junjie YAN, Zongyu HOU, Zhe WANG, Yoshihiro DEGUCHI

    Published 2025-04-01
    “…The fitting accuracy of the SVR model is 0.9783, the root mean square percentage error of the training set is 13.42%, and the root mean square percentage error of the test set is 13.51%. …”
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  17. 13697

    Decentralized multi-agent federated and reinforcement learning for smart water management and disaster response by H. Mancy, Naglaa E. Ghannam, Amr Abozeid, Ahmed I. Taloba

    Published 2025-07-01
    “…With a Mean Squared Error (MSE) of 0.112, R-squared (R²) of 0.953, and Mean Absolute Error (MAE) of 0.207, the proposed method is better than existing approaches for big, real-time flood predictive systems. …”
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    Article
  18. 13698

    Harnessing Lactiplantibacillus plantarum EP21 and its membrane vesicles to inhibit myopia development by Chi-Fong Lin, Yu-An Hsu, Yung-Lan Chou, Ying-Chi Chen, En-Shyh Lin, Peng-Tai Tien, Jamie jiin-Yi Chen, Ming-Yen Wu, Chia-Hung Lin, Hui-Ju Lin, Lei Wan

    Published 2025-12-01
    “…The findings suggest a role of the gut – eye axis in the development of myopia and elucidate a biological pathway whereby gut-derived probiotics and their vesicles can influence ocular health. This research highlights the potential of EP21- and EP21-derived MVs as noninvasive agents for myopia management, and thereby enhances the comprehension of the gut – eye axis. …”
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  19. 13699

    Characterization of Oil Well Cement–Formation Sheath Bond Strength by Musaed N. J. AlAwad, Khalid A. Fattah

    Published 2025-05-01
    “…For the standardization of this methodology, more generalized research should be conducted using other types of oil well cement and formation rocks.…”
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  20. 13700

    Projection of hydrological drought based on SSP scenarios using surface water supply index and SWAT model in mountainous watershed by Omid Babamiri, Yagob Dinpashoh, Alireza Samavati, Faeze Shoja

    Published 2025-07-01
    “…Abstract The objective of this research is to explore climate change impact on hydrological drought in mountain watersheds. …”
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