A Skill Assessment Framework for the Fisheries and Marine Ecosystem Model Intercomparison Project by Nina Rynne, Camilla Novaglio, Julia Blanchard, Daniele Bianchi, Villy Christensen, Marta Coll, Jerome Guiet, Jeroen Steenbeek, Andrea Bryndum‐Buchholz, Tyler D. Eddy, Cheryl Harrison, Olivier Maury, Kelly Ortega‐Cisneros, Colleen M. Petrik, Derek P. Tittensor, Ryan F. Heneghan

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Estimating Leaf Nitrogen Accumulation Considering Vertical Heterogeneity Using Multiangular Unmanned Aerial Vehicle Remote Sensing in Wheat by Yuanyuan Pan, Jingyu Li, Jiayi Zhang, Jiaoyang He, Zhihao Zhang, Xia Yao, Tao Cheng, Yan Zhu, Weixing Cao, Yongchao Tian

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Real-Time FTM-Based Victim Positioning System Using Heterogeneous Robots in Remote and Outdoor Scenarios by Juan Bravo-Arrabal, Carlos Simon Alvarez-Merino, Manuel Toscano-Moreno, Javier Seron-Barba, J. J. Fernandez-Lozano, Jose Antonio Gomez-Ruiz, Emil J. Khatib, Raquel Barco, Alfonso Garcia-Cerezo

“…The maximum positioning error was 22.87 m for the buried victim and 17.14 m for the surface one. …”
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Investigating factors influencing quality of life in thyroid eye disease: insight from machine learning approaches by Haiyang Zhang, Shuo Wu, Lehan Yang, Chengjing Fan, Huifang Chen, Hui Wang, Tianyi Zhu, Yinwei Li, Jing Sun, Xuefei Song, Huifang Zhou, Terry J Smith, Xianqun Fan

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Prevalence of interprofessional collaboration towards patient care and associated factors among nurses and physician in Ethiopia, 2024: a systematic review and meta-analysis by Abdulkerim Hassen Moloro, Kebede Gemeda Sabo, Begetayinoral Kussia Lahole, Beriso Furo Wengoro, Kusse Urmale Mare

“…Excluded were conference proceedings, qualitative research, commentaries, editorial letters, case reports, case series, and monthly and annual police reports. …”
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Addressing the dynamic nature of reference data: a new nucleotide database for robust metagenomic classification by Jose Manuel Martí, Car Reen Kok, James B. Thissen, Nisha J. Mulakken, Aram Avila-Herrera, Crystal J. Jaing, Jonathan E. Allen, Nicholas A. Be

“…This new resource demonstrably reduces errors and improves the reliability of microbial identification across diverse taxonomic groups. …”
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Bonding behavior of lap-spliced reinforcing bars embedded in ultra-high-performance concrete with steel fibers by Krairerk Aiamsri, Teerasak Yaowarat, Suksun Horpibulsuk, Apichat Suddeepong, Apinun Buritatum, Kanchana Hiranwatthana, Kirati Nitichote

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Lethal neonatal acidosis: Multiomic investigation of a novel HIBCH variant as the underlying cause by Sonali Patel, Muhammad Zain-ul-abideen, Genevieve Guyol, Lance H. Rodan, Casie A. Genetti, Amy Z. Ren, Philip Connors, Patricia Davenport, Ruby Bartolome, Inderneel Sahai, Vijay S. Ganesh, Monica H. Wojcik

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Calibration and Verification of the AquaCrop Model in Simulating the Yield, Dry Matter and Water Productivity of Grain Corn (Zea mays L.) under Different Irrigation Methods and Nit... by zhaleh zarei, Hassan Heidari, Saeid Jalali Honarmand, Ali Bafkar

“…For statistical evaluation, root mean square error (RMSE), efficiency coefficient of the Nash-Sutcliffe model (EF), and Wilmot agreement index (d) were used.Results and DiscussionThe results indicated that the root mean square error (RMSE) for simulating canopy cover development under various irrigation and fertilizer treatments ranged from 1.5% to 6.1% during the calibration stage (2020) and from 2% to 6.4% during the verification stage (2021). …”
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Practical Introduction to Benchmarking and Characterization of Quantum Computers by Akel Hashim, Long B. Nguyen, Noah Goss, Brian Marinelli, Ravi K. Naik, Trevor Chistolini, Jordan Hines, J.P. Marceaux, Yosep Kim, Pranav Gokhale, Teague Tomesh, Senrui Chen, Liang Jiang, Samuele Ferracin, Kenneth Rudinger, Timothy Proctor, Kevin C. Young, Irfan Siddiqi, Robin Blume-Kohout

“…Breakthroughs in quantum algorithms, quantum simulations, and quantum error correction are bringing useful quantum computation closer to fruition. …”
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Effects of LED Device Size on UV-C Short-Range LoS Optical Wireless Communication by Jordan Hill, Cheng Chen, Enyuan Xie, Jonathan J.D. McKendry, Johannes Herrnsdorf, Erdan Gu, Harald Haas, Martin D. Dawson

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VGGBM-Net: A Novel Pixel-Based Transfer Features Engineering for Automated Coffee Bean Diseases Classification by Muhammad Shadab Alam Hashmi, Azam Mehmood Qadri, Ali Raza, Saleem Ullah, Aseel Smerat, Changgyun Kim, Muhammad Syafrudin, Norma Latif Fitriyani

“…Traditional coffee bean grading methods are labor-intensive and prone to error, necessitating automated and accurate classification of bean diseases. …”
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Genetic programming-based algorithms application in modeling the compressive strength of steel fiber-reinforced concrete exposed to elevated temperatures by Mohsin Ali, Li Chen, Qadir Bux Alias Imran Latif Qureshi, Deema Mohammed Alsekait, Adil Khan, Kiran Arif, Muhammad Luqman, Diaa Salama Abd Elminaam, Amir Hamza, Majid Khan

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Precise prediction of choke oil rate in critical flow condition via surface data by Qing Wang, Muntadher Abed Hussein, Bhavesh Kanabar, Anupam Yadav, Asha Rajiv, Aman Shankhyan, Sachin Jaidka, Mehul Manu, Issa Mohammed Kadhim, Zainab Jamal Hamoodah, Fadhil Faez, Mohammad Mahtab Alam, Hojjat Abbasi

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Dynamic control of upper limit for rainfall storing and effective use in rice paddies based on improved AquaCrop model by En Lin, Rangjian Qiu, Xinxin Li, Mengting Chen, Shizong Zheng, Fei Ren, Xiaoming Xiang, Chenglong Ji, Yuanlai Cui, Yufeng Luo

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TanSat-2: a new satellite for mapping solar-induced chlorophyll fluorescence at both red and far-red bands with high spatiotemporal resolution by D. Zhao, D. Zhao, D. Zhao, S. Du, S. Du, C. Zou, C. Zou, C. Zou, L. Tian, M. Fan, M. Fan, Y. Du, Y. Du, Y. Du, L. Liu, L. Liu, L. Liu

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The ubiquity of selective attention in the processing of feedback during category learning. by Katerina Dolguikh, Tyrus Tracey, Mark R Blair

“…We find that selective attention to task-relevant information is pervasive throughout feedback processing, suggesting a role for selective attention in memory encoding of category exemplars. We also find that error trials elicit additional stimulus processing during the feedback phase. …”
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Nurses' self-efficacy and outcome expectancy in evidence-based practice: Translation, construct validity and internal consistency of the Dutch scales by Peter Hoegen, Michael Echteld, Cindy de Bot, Annemarie de Vos, Derya Demirçay, Mary-Anne Ramis, Lidwine Mokkink, Hester Vermeulen

“…Confirmatory factor analysis (CFA) (n = 769) tested a second-order model for the Self-efficacy scale (Comparative Fit Index (CFI)=0.96, Tucker-Lewis Index (TLI)=0.95, Root Mean Square Error of Approximation (RMSEA)=0.06, Standardized Root Mean Residual (SRMR)=0.04) and a single-factor model for the Outcome Expectancy Scale (CFI=0.99, TLI=0.99, RMSEA=0.06, SRMR=0.01). …”
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Soil Moisture Retrieval in Winter Wheat Fields at Different Growth Stages: Integrating a Two-Component Polarimetric SAR Decomposition With CIEM by Wenxin Xue, Qinghua Xie, Xing Peng, J. David Ballester-Berman, Jinfei Wang, Jiali Shang, Haiqiang Fu, Jianjun Zhu

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Effectiveness of progesterone supplementation in women presenting low progesterone levels on the day of frozen embryo transfer: a randomised controlled trial by Quang Thanh Le, Thi Minh Chau Le, Khue Tu Duong, Quoc Anh Nguyen, Phuc Thinh Ong, Thi Hong Nhung Nguyen, Thi Cam Thu Thai, Matheus Roque, Carlo Alviggi

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