Post-Processing Optimization of the Global 30 m Land Cover Dynamic Monitoring Product by Zhehua Li, Xiao Zhang, Wendi Liu, Tingting Zhao, Weitao Ai, Jinqing Wang, Liangyun Liu

“…Here, we aimed to design a novel post-processing approach by combining multi-source data to optimize the GLC_FCS30D product, which represents a groundbreaking improvement in GLC dynamic mapping at a resolution of 30 m. …”
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Implementing My PreHab Program: How digital technology helped to bridge the hospital-community gap and streamline hospital processes by Eleanor R Bills, Anastasia D Westin, Jane M Andrews

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Length–Weight Distribution of Non-Zero Elements in Randomized Bit Sequences by Christoph Lange, Andreas Ahrens, Yadu Krishnan Krishnakumar, Olaf Grote

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Mapping the Soil Chemical Properties of the Sarigkiol Basin, Western Macedonia, Greece, in View of the Transition to the Post-Lignite Era by Despoina Psarraki, Panagiotis Papazotos, Eleni Vasileiou, Maria Perraki

“…The data were processed using statistical methods (Spearman’s correlation coefficient (CC), factor analysis (FA), and hierarchical cluster analysis (HCA)) and thematic maps. …”
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Mitigation of human factor in tomographic post processing of additive manufactured critical parts for aviation application by Stefano Benuzzi, Davide Borghi, Maria Grazia Righi, Natanaele Galavotti, Fabio Esposito

“…The purpose of this presentation is to analyse some ways to mitigate the human factor in the post processing of tomographic data for NDT applications in the aviation industry and, ultimately, focus the attention to who is responsible for defining whether a component is fit for service or not. …”
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Edible indigenous fruits in Zimbabwe: A review on the post-harvest handling, processing, and commercial value by Patience Nemapare, Tendekayi H. Gadaga, Desmond T. Mugadza

“…The review aimed to interrogate existing knowledge in literature on post-harvest handling of indigenous fruits in Zimbabwe and identify gaps for further research. …”
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Design of an intelligent post-diagnosis decision support system for highly automated trucks by Xin Tao, Lina Rylander, Jonas Mårtensson

“…This paper outlines the current post-diagnosis decision-making process for human-driven trucks, drawing on insights from industry practitioners, and systematically identifies gaps between these practices and the requirements for highly automated trucks. …”
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Mapping Data Mining Technique and Gamification Approach for Studying Post-Stroke Rehabilitation Training: A Systematic Literature Review by Nooralisa Mohd Tuah, Daphne Lianeta Goh, Syed Nasirin, Fatimah Ahmedy, Mohammad Hossin

“…We systematically reviewed the data mining and gamification techniques researchers had applied for post-stroke rehabilitation and related prediction models resulting from the data mining processes. …”
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Place and space tensions in post-disaster landscapes by Muzayin Nazaruddin

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New insights into the kinetics of dynamic and post-dynamic softening in Alloy 718 engine disks by E. Farabi, V.V. Rielli, F. Godor, C. Gruber, A. Stanojevic, B. Oberwinkler, S. Primig

“…Better control of these regimes is required for direct ageing (DA), to unlock superior high-temperature strength in next-generation aeroengine disks. There are gaps in the current understanding of the (post-)dynamic regime and its effect on γʹ and γʹʹ co-precipitation. …”
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A text mining study of competencies in modern supply chain management with skillset mapping by Parminder Singh Kang, Rickard Enstroem, Bhawna Bhawna, Owen Bennett

“…The findings reveal that job postings primarily emphasize traditional operational skills such as logistics, inventory control, and customer relationship management. …”
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Cantilever beam-based piezoelectric micromachined ultrasonic transducer with post processing soft interconnecting strategy for in-air rangefinding by Yan Wang, Peng Chen, Junning Zhang, Zihan Li, Hongbin Yu

“…To address this issue, a novel post processing soft interconnecting strategy is presented. …”
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“Disoriented Superpower”: U.S. Foreign Policy in the Post-Bipolar World by O. I. Rebro, M. A. Suchkov

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Common Transport Policy of the European Union: a Road Map for the Eurasian Economic Union by Y. V. Pak, T. N. Polyanova

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Implementing a growth pattern of climax community as post-processing filters core to improve tree species classification accuracy by Biao Zhang, Liguo Dong, Zhichao Wang, Zebang Feng, Yakui Shao, Tiantian Ma, Xuanchi Chen, Hao Li, Bin Wang, Zhongke Feng

“…The CR-Filter, applied as a post-processing tool, integrates Change Resistance on Timelines and Change Resistance on Spatial Neighboring into a unified framework, enhancing classification precision by mitigating spatiotemporal fluctuations. …”
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Study of the Factors Influencing Cultural Similarity in the Post-Migration Adaptation Process in the Province of Van Using the GWR Method by Çetin Görür, Bahadır Yüzbaşı

“…In this study, the factors influencing cultural similarity in the post-migration adaptation process of individuals migrating from first- and second-degree border provinces to the province of Van were examined using Ordinary Least Squares and Geographically Weighted Regression methods. …”
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Multi-sector determinants of implementation and sustainment for non-specialist treatment of depression and post-traumatic stress disorder in Kenya: a concept mapping study by Erika L. Crable, Susan M. Meffert, Ryan G. Kenneally, Linnet Ongeri, David Bukusi, Rachel L. Burger, Grace Rota, Ammon Otieno, Raymond Rotai, Muthoni Mathai, Gregory A. Aarons

“…In Kenya, effective strategies are needed to scale-up the workforce to meet the demand for depression and post-traumatic stress disorder treatment. Task-shifting – delegating specific tasks to non-specialist workers – is one workforce expansion approach. …”
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Cross‐Attractor Transforms: Improving Forecasts by Learning Optimal Maps Between Dynamical Systems and Imperfect Models by N. Agarwal, D. E. Amrhein, I. Grooms

“…Optimal pre‐ and post‐processing transforms leverage “shocks” and “drifts” in the imperfect model to make more skillful forecasts of the reference system. …”
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Stochastic Parameter Identification Method for Driving Trajectory Simulation Processes Based on Mobile Edge Computing and Self-Organizing Feature Mapping by Jingfeng Yang, Zhiyong Luo, Nanfeng Zhang, Jinchao Xiao, Honggang Wang, Shengpei Zhou, Xiaosong Liu, Ming Li

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Quantifying Area Back Scatter of Marine Organisms in the Arctic Ocean by Machine Learning-Based Post-Processing of Volume Back Scatter by Ole Arve Misund, Anna Nikolopoulos, Vegard Stürzinger, Haakon Hop, Paul Dodd, Rolf J. Korneliussen

“…In a first, principally manually based post-processing of these acoustic recordings using the Large-Scale Survey Post-processing System (LSSS), much effort was used to remove segments of noise due to icebreaking operations. …”
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