Validação de dados termopluviométricos obtidos via sensoriamento remoto para o Estado de São Paulo Validation of temperature and rainfall data obtained by remote sensing for the St... by Ludmila B. Camparotto, Gabriel C. Blain, Angélica Giarolla, Marcos Adami, Marcelo B. P. de Camargo

“…The results showed that for the rainfall data, smaller errors were observed during the winter and higher during the summer months. …”
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Dark Energy Survey Year 6 Results: Point-Spread Function Modeling by T. Schutt, M. Jarvis, A. Roodman, A. Amon, M. R. Becker, R. A. Gruendl, M. Yamamoto, K. Bechtol, G. M. Bernstein, M. Gatti, E. S. Rykoff, E. Sheldon, M. A. Troxel, T. M. C. Abbott, M. Aguena, A. Alarcon, F. Andrade-Oliveira, D. Brooks, A. Carnero Rosell, J. Carretero, C. Chang, A. Choi, M. Crocce, L. N. da Costa, T. M. Davis, J. De Vicente, S. Desai, H. T. Diehl, S. Dodelson, P. Doel, C. Doux, A. Drlica-Wagner, A. Ferté, J. Frieman, J. García-Bellido, E. Gaztanaga, G. Giannini, D. Gruen, G. Gutierrez, W.G. Hartley, K. Herner, S. R. Hinton, D. L. Hollowood, K. Honscheid, D. Huterer, E. Krause, K. Kuehn, O. Lahav, S. Lee, M. Lima, J. L. Marshall, J. Mena-Fernández, R. Miquel, J. J. Mohr, J. Muir, J. Myles, R. L. C. Ogando, A. Pieres, A. A. Plazas Malagón, A. Porredon, M. Raveri, M. Rodriguez-Monroy, S. Samuroff, E. Sanchez, D. Sanchez Cid, I. Sevilla-Noarbe, M. Smith, E. Suchyta, G. Tarle, V. Vikram, A. R. Walker, N. Weaverdyck, Y. Zhang, The DES Collaboration

“…We review the PSF estimation procedure using the PIFF (PSFs In the Full FOV) software package and describe the key improvements made to PIFF and modeling diagnostics since the DES year three (Y3) analysis: (i) use of external _Gaia_ and infrared photometry catalogs to ensure higher purity of the stellar sample used for model fitting, (ii) addition of color-dependent PSF modeling, the first for any weak lensing analysis, and (iii) inclusion of model diagnostics inspecting fourth-order moments, which can bias weak lensing measurements to a similar degree as second-order modeling errors. …”
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Robotic Assistance in Percutaneous Liver Ablation Therapies: A Systematic Review and Meta-Analysis by Ana K. Uribe Rivera, MD, Barbara Seeliger, MD, PhD, Laurent Goffin, MSc, Alain García-Vázquez, MD, Didier Mutter, MD, PhD, Mariano E. Giménez, MD, PhD

“…A meta-analysis was performed, including comparative studies of freehand and robotic techniques in terms of radiation dose, accuracy, and Euclidean error. Results:. The inclusion criteria were met by 33/755 studies. …”
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Natural landscape, historical and town‐planning factors of Khabarovsk development by Yu. I. Ermakova, B. I. Kochurov

“…The main historical factor in the development of Khabarovsk is the inclusion of the Far East in the space  of  Russia  and  the  awareness  of  its  geostrategic  importance. …”
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Evaluating the Efficacy of AI Tools in Systematic Literature Reviews: A Comprehensive Analysis by Phumzile Dorcus Mogoale, Agnieta Beatrijs Pretorius, Refilwe Constance Mogase, Mmatshuene Anna Segooa

“…Language and content presentation, incorrect citation and plagiarism, grammar and spelling errors may be ren when utilizing AI. Concerns related to data quality, biases, and the need for human oversight were identified.…”
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Features of project activity in professional education by Yury Pavlovich Vetrov

“…The following provisions reflect the results of the research: The qualities of a modern graduate demanded by employers and formed in the process of its inclusion in project activities have been revealed. …”
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Laboratory study of the quality of root canal obturation in the application of various techniques of medical treatment by T. V. Furtsev, Z. Yu. Amelyukhina, G. M. Zeer

“…Under study is based on the fact that every year the number of patients with complicated forms of caries increases, in addition, the complexity of a number of treatment manipulations, often leads to various errors and complications at all stages of endodontic treatment.  …”
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Write Precisely by Shahul Ameen

“…AI tools can furnish concise alternatives to text but can introduce errors. Peer feedback can be beneficial.…”
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Psychological safety and patient safety: A systematic and narrative review. by Anthony Montgomery, Vilma Chalili, Olga Lainidi, Christos Mouratidis, Ilias Maliousis, Konstantina Paitaridou, Alison Leary

“…<h4>Results</h4>Nine papers were selected for inclusion which reported on heterogeneous patient safety outcomes. …”
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Strategies to support the mental health and well-being of health and care workforce: a rapid review of reviews by Cindy E. Frias, Nimesh Samarasinghe, Cecilia Cuzco, Jaseem Koorankot, Andrés de Juan, Husameldin Mohamed Ali Rudwan, Hanan F. Abdul Rahim, Adela Zabalegui, Iain Tulley, Sanaa T. Al-Harahsheh, Mona Shaheen S. T. Al-Homaiddi, Meredith Fendt-Newlin, Jim Campbell

“…The inclusion criteria were systematic reviews written in English with quantitative design, with or without meta-analysis.ResultsFifty articles met the criteria for inclusion in the analysis. …”
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Enhancing Large-Area DEM modeling of GF-7 stereo imagery: Integrating ICESat-2 data with Multi-characteristic constraint filtering and terrain matching correction by Kai Chen, Wen Dai, Fayuan Li, Sijin Li, Chun Wang

“…Experiments in a 2,000 km2 test area in the Wuding River Basin show that: (1) The inclusion of ICESat-2 data has remarkably enhanced the accuracy of DEM modeling utilizing GF-7 OPSSI, and the Root Mean Square Error (RMSE) has been reduced from the range of 5–10 m to 2–6 m. (2) Multi-characteristic constraint filtering is crucial for the identification of high quality ICESat-2 control points in flat and low relief areas. …”
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Application of deep learning models in gastric cancer pathology image analysis: a systematic scoping review by Sijun Xia, Yuanze Xia, Ting Liu, Yiming Luo, Patrick Cheong-Iao Pang

“…However, traditional histopathological image analysis relies on the subjective judgment of pathologists, which is time-consuming and prone to errors. The emergence of deep learning (DL) models provides new ways to automate and improve the analysis of GC pathology images. …”
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Patents of Systems and Methods Using Non-Ionizing Radiation for Measuring Rearfoot Deformations: A Review by Gabriel Trujillo-Hernández, Wendy Flores-Fuentes, Luis Roberto Ramírez-Hernández, Oleg Sergiyenko, Moises J. Castro-Toscano, Abelardo Mercado-Herrera, Fabian N. Murrieta-Rico

“…The X-ray emits ionizing radiation that can cause damage through cumulative exposure over a lifetime, whereas the goniometer will produce measurement errors. This patent review conducted a technological search of systems and methods across various databases using inclusion and exclusion criteria. …”
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CohortDiagnostics: Phenotype evaluation across a network of observational data sources using population-level characterization. by Gowtham A Rao, Azza Shoaibi, Rupa Makadia, Jill Hardin, Joel Swerdel, James Weaver, Erica A Voss, Mitchell M Conover, Stephen Fortin, Anthony G Sena, Chris Knoll, Nigel Hughes, James P Gilbert, Clair Blacketer, Alan Andryc, Frank DeFalco, Anthony Molinaro, Jenna Reps, Martijn J Schuemie, Patrick B Ryan

“…Cohort Diagnostics can ensure the subjects identified by a specific PA align with those intended for inclusion in a research study.<h4>Conclusion</h4>Diagnostics based on large-scale population-level characterization can offer insights into the misclassification errors of PAs.…”
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Scalable machine learning framework for predicting critical links in urban networks by Nourhan Bachir, Chamseddine Zaki, Hassan Harb, Roland Billen

“…Random Forest and Gradient Boosting emerged as the top-performing models, consistently delivering the best precisions and lowest number of errors. The inclusion of dynamic traffic metrics and advanced preprocessing techniques further enhanced predictive accuracy and generalization capabilities. …”
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Accuracy of the surgical template used in the placement of implants and orthodontic miniscrews by Gianna Dipalma, Angelo Michele Inchingolo, Irma Trilli, Angela Di Noia, Gaetano De Vecchio, Andrea Palermo, Francesco Inchingolo, Alessio Danilo Inchingolo

“…Their application improves treatment predictability and lowers errors while minimizing hazards like harm to anatomical structures or improper placement. …”
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Parametric Forecast of Solar Energy over Time by Applying Machine Learning Techniques: Systematic Review by Fernando Venâncio Mucomole, Carlos Augusto Santos Silva, Lourenço Lázaro Magaia

“…This study aimed to systematize the parametric forecast (PF) of solar energy over time, adopting the validation of estimates by machine learning models (MLMs), with highly complex analyses as inclusion criteria and studies not validated in the short or long term as exclusion criteria. …”
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COBRAme: A computational framework for genome-scale models of metabolism and gene expression. by Colton J Lloyd, Ali Ebrahim, Laurence Yang, Zachary A King, Edward Catoiu, Edward J O'Brien, Joanne K Liu, Bernhard O Palsson

“…ME-models have increased predictive capabilities and accuracy due to their inclusion of the biosynthetic costs for the machinery of life, but they come with a significant increase in model size and complexity. …”
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Determine the accuracy of CBCT reconstructed panoramic images in periodontal assessment. by Megan Blackstock, Markus Mosley, Erika Stevens, Gerard Camargo, Xiaoxi Cui, Wenjian Zhang

“…Some discrepancies among the evaluation methods are likely due to periodontal configurations or conditions, operator errors, and the projection geometry of intraoral radiographs.…”
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A NARRATIVE REVIEW ON AUTOMATION AND DIGITALIZATION IN QUALITY CONTROL LABORATORIES OF PHARMACEUTICALS by Sheikh Abdul Khaliq, Muhammad Kashif, Muhammad Jiyad Shaikh, Ijaz Hussain

“…The data were sequentially analyzed using specific inclusion and exclusion criteria to draw the findings. …”
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