Assessing Inundation Semantic Segmentation Models Trained on High- versus Low-Resolution Labels using FloodPlanet, a Manually Labeled Multi-Sourced High-Resolution Flood Dataset by Zhijie Zhang, Jonathan Giezendanner, Rohit Mukherjee, Beth Tellman, Alexander Melancon, Matt Purri, Iksha Gurung, Upmanu Lall, Kobus Barnard, Andrew Molthan

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Changing Roles of Vertical Keiretsu: A Long-term Panel Data Analysis of Component Transactions in the Japanese Automotive Industry by Akira TAKEISHI, Tatsuya KIKUTANI, Ryuichi NAKAMOTO

“…Yet there remains some argument that some of keiretsu suppliers continue to serve as competitive and indispensable partners for some OEMs. …”
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Examining the Impact of Topography and Vegetation on Existing Forest Canopy Height Products from ICESat-2 ATLAS/GEDI Data by Yisa Li, Dengsheng Lu, Yagang Lu, Guiying Li

“…Introducing accurate digital elevation model (DEM) data can improve FCH retrieval from spaceborne LiDAR to some extent. …”
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Identifying and characterising asthma subgroups at high risk of severe exacerbations using machine learning and longitudinal real-world data by Patrick Long, Andres Quintero, Javier Lopez-Molina, Merina Su, Nicola Boulter, Cindy Weber, Ralica Dimitrova

“…Notably, there was considerable between-cluster variability in the predicted likelihood of AE, with some subgroups comprised of patients who posed a challenge for the predictive model and would have been missed with predictive modelling alone.Discussion By identifying distinct subgroups among patients with asthma experiencing AE, this study highlights the heterogeneity within this population and emphasises the need for more personalised management of AE.Conclusion Applying predictive modelling and clustering to real-world data can help identify discrete phenotypes of patients and offer an important source of information for developing risk assessment and mitigation efforts.…”
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Using web search query data to monitor dengue epidemics: a new model for neglected tropical disease surveillance. by Emily H Chan, Vikram Sahai, Corrie Conrad, John S Brownstein

“…Whereas traditional dengue data from official sources are often not available until after some substantial delay, web search query data are available in near real-time. …”
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NeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detail. by Padraig Gleeson, Sharon Crook, Robert C Cannon, Michael L Hines, Guy O Billings, Matteo Farinella, Thomas M Morse, Andrew P Davison, Subhasis Ray, Upinder S Bhalla, Simon R Barnes, Yoana D Dimitrova, R Angus Silver

“…To overcome these problems we have used an Open Source software approach to develop NeuroML, a neuronal model description language based on XML (Extensible Markup Language). …”
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Foreign Direct Investment and Violent Crimes: Evidence from the Iranian Provinces by gholamreza zamanian, Frnaz Dehghan, foruzan falahati, ali davari

“…Aim and Introduction Today, with the expansion of globalization and increased economic competition, capital accumulation has been proposed as one of the main factors of the economic growth process of the countries, which can be provided through domestic or foreign sources. Meanwhile, inadequacy of internal resources and the need for high technical knowledge in some countries that seek economic growth have required a serious approach to this issue. …”
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Textiles and Social Status. The Case of Late Medieval Elbląg by Anna Rybarczyk

“…It is also possible to link certain types of fabrics mentioned in written sources to actual archaeological finds. Combining archaeological and historical data enables us to shed some light on the question of using expensive textiles by townspeople in a late medieval Hanseatic town. …”
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Frequency transfer and inverse design for metasurface under multi-physics coupling by Euler latent dynamic and data-analytical regularizations by Enze Zhu, Zheng Zong, Erji Li, Yang Lu, Jingwei Zhang, Hao Xie, Ying Li, Wen-Yan Yin, Zhun Wei

“…Traditionally, to predict properties at a specific frequency, targeted spectrum is included in training data for a deep neural network (DNN). However, due to limitations of measurement or computation source, training data at some frequencies are hardly accessible, especially for multi-physics problems. …”
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Meta-analysis of machine learning models for the diagnosis of central precocious puberty based on clinical, hormonal (laboratory) and imaging data by Yilin Chen, Xueqin Huang, Lu Tian

“…With the widespread application of artificial intelligence in medicine, some studies have utilized clinical, hormonal (laboratory) and imaging data-based machine learning (ML) models to identify CPP. …”
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Spatiotemporal Variation in Carbon and Water Use Efficiency and Their Influencing Variables Based on Remote Sensing Data in the Nanling Mountains Region by Sha Lei, Ping Zhou, Jiaying Lin, Zhaowei Tan, Junxiang Huang, Ping Yan, Hui Chen

“…In summary, multi-source data were employed to comprehensively analyze the spatiotemporal dynamics of CUE and WUE in the NMR over the past 23 years. …”
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ON THE TIME AND CONDITIONS OF FORMATION OF THE SHOKSHA QUARTZITE-SANDSTONES OF THE SOUTH ONEGA DEPRESSION BASED ON THE NEW DATA FROM ISOTOPE GEOCHRONOLOGY by N. B. Kuznetsov, S. Yu. Kolodyazhnyi, T. V. Romanyuk, A. V. Strashko, A. S. Baluev, E. N. Terekhov, S. V. Mezhelovskaya, A. S. Dubensky, V. S. Sheshukov

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Access to improved water and sanitation: Key drivers for achieving Sustainable Development Goal 4 in Indian states by Priya Ranjan

“…Study using state-level data from secondary sources. States were classified into low, middle, and high categories for water, sanitation, and literacy based on percentile rankings for 2019–20 for comparing states' progress and identifying those lagging and successful states. …”
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Machine Learning or Human Education? Thoughts and Data on Artificial Intelligence and the Labor Market: Economic Sociological Aspects of Career Orientation. by Keszi, Roland

“…The economic trends reviewed in this paper will play a prominent role in the labor market of the near future with the exponential growth of the uptake of artificial intelligence applications. The author reviews some of the megatrends related to the economic and social aspects of artificial intelligence from the demand side of the labor market, based on recent macroeconomic data sources, empirical research and forecasts. …”
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Research and application of micro-scale fracture prediction technology for deep coalbed methane based on five-dimensional seismic data by Lei ZHANG, Fengyin XU, Jiangnan TONG, Feng ZHANG, Feng WANG, Wei HOU, Yihang CHANG, Songyi HOU, Xiangbing PEI, Zhenyi CAO, Tong CHEN, Xuefeng LI, Ke ZHOU, Yongzhou LI, Huaibin ZHEN, Wenting ZENG

“…Through OVT （Offset Vector Tile）domain processing, we obtained five-dimensional seismic data encompassing time, space (3D coordinates), offset (or source-receiver distance), and azimuth. …”
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Studying individuals in same-sex couples using longitudinal administrative data from Canadian tax records: Opportunities and challenges by Chih-lan Winnie Yang, Nicole Denier, Xavier St-Denis, Sean Waite

“…The growing availability of administrative data presents an opportunity to fill some of these gaps. …”
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Discovery and Timing of Four γ-Ray Millisecond Pulsars by M. Kerr, S. Johnston, C. J. Clark, F. Camilo, E. C. Ferrara, M. T. Wolff, S. M. Ransom, S. Dai, P. S. Ray, J. E. Reynolds, J. M. Sarkissian, E. D. Barr, M. K. Kramer, B. W. Stappers

“…Using Fermi Large Area Telescope data, we have detected γ -ray pulsations from all four pulsars, and by combining radio and γ -ray data, we obtain improved timing solutions. …”
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AT 2019aalc: A Bowen Fluorescence Flare with a Precursor Flare in an Active Galactic Nucleus by Marzena Śniegowska, Benny Trakhtenbrot, Lydia Makrygianni, Iair Arcavi, Claudio Ricci, Sara Faris, Biswaraj Palit, D. Andrew Howell, Megan Newsome, Joseph Farah, Curtis McCully, Estefania Padilla-Gonzalez, Giacomo Terreran

“…We present and analyze a large set of multi-wavelength, multi-epoch data for this source, with particular emphasis on optical spectroscopic monitoring conducted with the Las Cumbres Observatory network. …”
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Discovery of novel tepovirus genomes with a nucleic acid-binding protein homolog by systematic analysis of plant transcriptome data by Dongjin Choi, Hyerin Park, Seungwoo Baek, Myeung Seok Choi, Sylvain Legay, Gea Guerriero, Jean-François Hausman, Yoonsoo Hahn

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Comparing farmers’ perceptions of climate change with meteorological data: A case study of livestock farmers in Eswatini’s lowveld region by Ian B Van Zuydam, Kevin. F Mearns, Willie. A.J Nel, Nonophile. P Nkambule

“…Primary and secondary data sources were used. The sample size was 278 farmers. …”
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