Evidence-based medicine: 5 steps to navigate uncertainty by Rafael Martín-Masot, Carlos Ochoa Sangrador, Jaime Javier Cuervo Valdés, Carolina Blanco Rodríguez, Paz González Rodríguez, Javier González de Dios, M. Salomé Albi Rodríguez, Pilar Aizpurua Galdeano, María Aparicio Rodrigo, Nieves Balado Insunza, Albert Balaguer Santamaría, Fernando Carvajal Encina, Eduardo Cuestas Montañes, M. Jesús Esparza Olcina, Sergio Flores Villar, Garazi Frailea Astorga, M. Victoria Martínez Rubio, Manuel Molina Arias, Eduardo Ortega Páez, Begoña Pérez-Moneo Agapito, M. José Rivero Martín, Álvaro Gimeno Díaz de Atauri, Laura Cabrera Morente, Elena Pérez González, Juan Ruiz-Canela Cáceres

“…Este proceso ayuda a evitar el error de aceptar conclusiones sin cuestionarlas. …”
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Monitoring Double-Cropped Extent with Remote Sensing in Areas with High Crop Diversity by Hossein Noorazar, Michael P. Brady, Supriya Savalkar, Amin Norouzi Kandelati, Mingliang Liu, Perry Beale, Andrew M. McGuire, Timothy Waters, Kirti Rajagopalan

“…Our expert labeling process worked well and has potential as a relatively low-cost, scalable approach for remote sensing applications. The product developed here is valuable for the long-term monitoring of double-cropped extent and for informing several policy questions related to food production and resource use.…”
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Expert identification blitz: A rapid high value approach for assessing and improving iNaturalist identification accuracy and data precision and confidence by Thomas Mesaglio, Kelly A. Shepherd, Juliet A. Wege, Russell L. Barrett, Hervé Sauquet, Will K. Cornwell

“…Our approach is globally applicable to any flora, requiring only the selection of a region and a manageable dataset and the recruitment of relevant regional experts.…”
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Dose prediction of CyberKnife Monte Carlo plan for lung cancer patients based on deep learning: robust learning of variable beam configurations by Yuchao Miao, Jiwei Li, Ruigang Ge, Chuanbin Xie, Yaoying Liu, Gaolong Zhang, Mingchang Miao, Shouping Xu

“…The AB model matched well with the clinical plan’s dose-volume histograms, and the average dose error for all organs was 1.65 ± 0.69%. Conclusions Our proposed new model signifies a crucial advancement in predicting CK 3D dose distributions for clinical applications. …”
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Healthcare workers' priorities of WHO snakebite strategic objectives for the control and prevention of snakebite envenoming in Ghana: A machine learning statistical design of exper... by Eric Nyarko, Iddrisu Abugbil Atubiga, Emmanuel Tetteh Siame, José María Gutiérrez, Eduardo Alberto Fernandez

“…Its superior predictive performance justifies the computational cost it requires, making it the preferred option for applications that prioritize both predictive performance and computational efficiency. …”
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Antihypertensive Drug Recommendations for Reducing Arterial Stiffness in Patients With Hypertension: Machine Learning–Based Multicohort (RIGIPREV) Study by Iván Cavero-Redondo, Arturo Martinez-Rodrigo, Alicia Saz-Lara, Nerea Moreno-Herraiz, Veronica Casado-Vicente, Leticia Gomez-Sanchez, Luis Garcia-Ortiz, Manuel A Gomez-Marcos

“…However, further studies with larger and more diverse populations are necessary to validate these results and extend the model’s applicability.…”
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Modeling of Ultrasonic Flaw Detection Processes in the Task of Searching and Visualizing Internal Defects in Assemblies and Structures by B. V. Sobol, A. N. Soloviev, P. V. Vasiliev, A. A. Lyapin

“…They have significant potential for scientific and practical applications.…”
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Iterative Forecasting of Financial Time Series: The Greek Stock Market from 2019 to 2024 by Evangelos Bakalis, Francesco Zerbetto

“…The forecasting points follow the same trend, are in good agreement with the actual data, and for most of the forecasts, the percentage error is less than 2%.…”
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Simulation and Test of Key Decorticating Components of Spiral Ramie Decorticator by Wenlong Zheng, Lan Ma, Jiajie Liu, Bo Yan, Yiping Duan, Sixun Chen, Jiangnan Lyu, Wei Xiang

“…However, this technique is more suitable for small growers, especially in hilly areas, to achieve large-scale applications, schemes must be reevaluated based on production efficiency.…”
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FBMC vs. PAM and DMT for High-Speed Wireline Communication by Jeremy Cosson-Martin, Jhoan Salinas, Hossein Shakiba, Ali Sheikholeslami

“…These values are competitive with similar <inline-formula> <tex-math notation="LaTeX">$22nm$ </tex-math></inline-formula> PAM transceivers, suggesting that DMT and FBMC are viable alternatives to PAM for next-generation high-speed wireline applications.…”
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Phase equilibrium and kinetic studies of choline chloride-based deep eutectic solvents in water system for the inhibition of methane gas hydrate formation by Aliyu Adebayo Sulaimon, Ali Qasim, Mohamad Athif, Asiah Nusaibah Masri, Pearl Isabellah Murungi, Aneel Jordan Atthi Tasan Singh

“…DESs have the potential to be applied in practical flow assurance applications due to their environmentally benign properties. …”
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A hybrid slime mold enhanced convergent particle swarm optimizer for parameter estimation of proton exchange membrane fuel cell by Mohammad Aljaidi, Sunilkumar P. Agrawal, Anil Parmar, Pradeep Jangir, Arpita, Bhargavi Indrajit Trivedi, G. Gulothungan, Ali Fayez Alkoradees, Reena Jangid, Mohammad Khishe

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Effect of Intramuscular Injection of Vitamin D on 25-Hydroxyvitamin D Levels, Glycaemic Control, and Liver Enzymes in Libyan Patients with Type 2 Diabetes Mellitus by Hafsa M. Alemam, Mouna M. ElJilani, Abdulla M. Bashein

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A novel equation synthesis for estimating resting energy expenditure in prostate cancer patients by Nilüfer Acar Tek, Tevfik Koçak, Süleyman Yeşil, Tevfik Sinan Sözen

“…The smallest root mean squared error (RMSE) values in the malign and benign prostate groups were novel equation MPG (149 kcal/d) and novel equation BPG (202 kcal/d). …”
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Study on the water pressure distribution characteristics of tunnel lining and pressure-reducing capability of by Xinpeng CHEN, Chaoyi WANG, Feng LU, Linlong LI, Feilong ZHAO, Cheng XIONG, Chongjun LUO, Kaimeng MA

“…The maximum prediction error is 8.25%, indicating a high level of accuracy. …”
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Process-based modeling of solar-induced chlorophyll fluorescence with VISIT-SIF version 1.0 by T. Miyauchi, T. Miyauchi, M. Saito, H. M. Noda, A. Ito, T. Kato, T. Matsunaga

“…However, the computation of RTMs becomes more time-consuming, which can make it impractical in applications of satellite observations with larger data volumes. …”
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Psychometric properties of the Chinese version of scales of knowledge, attitude, and practice of self-care for patients with arteriovenous fistula: a translation and verification s... by Chuang Li, Chuang Li, Youbei Lin, Jiaxin Cheng, Danfeng Xu, Danfeng Xu, Lan Zhang

“…However, future studies should consider expanding the sample size and evaluating the scale’s longitudinal stability and applicability across different cultural contexts.…”
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Autonomous International Classification of Diseases Coding Using Pretrained Language Models and Advanced Prompt Learning Techniques: Evaluation of an Automated Analysis System Usin... by Yan Zhuang, Junyan Zhang, Xiuxing Li, Chao Liu, Yue Yu, Wei Dong, Kunlun He

“…Our real-time ICD coding pipeline efficiently converts detailed medical free text into standardized labels, offering promising applications in clinical decision-making. It can assist doctors unfamiliar with the ICD coding system in organizing medical record information, thereby accelerating the medical process and enhancing the efficiency of diagnosis and treatment.…”
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Research Progress on Spectroscopic Analysis of Key Elements in Reprocessing of Spent Nuclear Fuel by Yan-lin WANG, Yu-ning YANG, Tao-xiang SUN

“…To reduce the relative error of measurement as well as to simultaneously analyze a variety of components, the technique of UV-Vis-NIR absorption spectroscopy combined with Raman spectroscopy can be used. …”
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Estimating Spatiotemporal Dynamics of Carbon Storage in <i>Roinia pseudoacacia</i> Plantations in the Caijiachuan Watershed Using Sample Plots and Uncrewed Aerial Vehicle-Borne Las... by Yawei Hu, Ruoxiu Sun, Miaomiao He, Jiongchang Zhao, Yang Li, Shengze Huang, Jianjun Zhang

“…The results showed root mean square error (RMSE) values of 13.17 trees (25.16%) for tree count, 0.40 m (3.57%) for average tree height (AH), and 320.88 kg (16.94%) for AGB. …”
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