Forecasting O3 and NO2 concentrations with spatiotemporally continuous coverage in southeastern China using a Machine learning approach by Zeyue Li, Jianzhao Bi, Yang Liu, Xuefei Hu

“…In this research, we adopted a forecasting model that integrates the random forest algorithm with NASA’s Goddard Earth Observing System “Composing Forecasting” (GEOS-CF) product. …”
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Atmospheric Methane Condition over the South Sumatera Peatland during the COVID-19 Pandemic by Muhammad Rendana, Wan Mohd Razi Idris, Sahibin Abdul Rahim

“…Using satellite-retrieved data from NASA, viz., the CH4 concentration and gross primary production (GPP) measured by the Atmospheric Infrared Sounder (AIRS) on board Aqua and Moderate Resolution Imaging Spectroradiometer (MODIS) on board Terra, respectively, we discovered a decrease of approximately 5.5% in the mean CH4 concentration (which averaged 1.73 ppm across the periods prior to lockdown) as well as an increase in the GPP (which ranged from 53.3 to 63.9 g C m−2 day−1 during the lockdown, indicating high atmospheric carbon intake) during the LSSR. …”
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Small Satellite Mission Concepts for Space Weather Research and as Pathfinders for Operations by Amir Caspi, M. Barthelemy, C. D. Bussy‐Virat, I. J. Cohen, C. E. DeForest, D. R. Jackson, A. Vourlidas, T. Nieves‐Chinchilla

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Two-Stage Degradation Assessment and Prediction Method for Aircraft Engine Based on Data Fusion by Hongsheng Yan, Hongfu Zuo, Jianzhong Sun, Di Zhou, Han Wang

“…The proposed method has been applied and verified on the NASA’s C-MAPSS simulation data. Results of degradation assessment and prediction show that the proposed method is trustworthy and feasible from the engineering perspective, and it has better performance in the comprehensive indicator compared with other methods.…”
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Skrb na kraju života – o skrbi i šire (što znamo i možemo) by Davorka Židak, Jasminka Peršec

“…Ako želimo biti u korak s razvojem i preporukama svjetske zajednice, razvijati transplantacijsku medicinu i omogućiti našim građanima pravo na kvalitetnu i dostojanstvenu skrb na kraju života, trebamo osvijestiti naša razmišljanja o navedenim pitanjima, provoditi kontinuiranu edukaciju, utjecati na promjenu zakona te implementirati skrb na kraju života u svakodnevni rad jedinica intenzivne medicine prema pravilima struke i etike.…”
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Response of the Ionospheric TEC to SSW and Associated Geomagnetic Storm Over the American Low Latitudinal Sector by J. B. Fashae, O. S. Bolaji, A. B. Rabiu

“…We used 12 Global Positioning System (GPS) receivers, a pair of magnetometers, and the NASA Thermosphere Ionosphere Mesosphere Energetics and Dynamics (TIMED) satellite airglow instrument to unveil the total electron content (TEC), inferred vertical drift, and the changes in the neutral composition, respectively. …”
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Machine Learning-Based Lithium Battery State of Health Prediction Research by Kun Li, Xinling Chen

“…The models were validated using the NASA PCoE battery aging datasets B0005, B0006, and B0007, with prediction accuracy evaluated based on Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Coefficient of Determination (R²). …”
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Estimating Satellite Orbital Drag During Historical Magnetic Superstorms by Denny M. Oliveira, Eftyhia Zesta, Hisashi Hayakawa, Ankush Bhaskar

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Collection, Collation, and Comparison of 3D Coronal CME Reconstructions by C. Kay, E. Palmerio

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Machine learning and spatio-temporal analysis of meteorological factors on waterborne diseases in Bangladesh. by Arman Hossain Chowdhury, Md Siddikur Rahman

“…<h4>Methods</h4>This study used district-level reported cases of waterborne diseases (cholera, amoebiasis, typhoid and hepatitis A) obtained from the Bangladesh Bureau of Statistics (BBS) and meteorological data (temperature, relative humidity, wind speed, and precipitation) sourced from NASA for the period spanning 2017 to 2020. Exploratory spatial analysis, spatial regression and tree-based machine learning models were utilized to analyze the data.…”
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Substorm‐Time Ground dB/dt Variations Controlled by Interplanetary Shock Impact Angles: A Statistical Study by Denny M. Oliveira, James M. Weygand, John C. Coxon, Eftyhia Zesta

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Field Observations during the Eleventh Microwave Water and Energy Balance Experiment (MicroWEX-11): from April 25, 2012, through December 6, 2012 by Tara Bongiovanni, Pang-Wei Liu, Karthik Nagarajan, Daniel Preston, Patrick Rush, Tim H.M. van Emmerik, Robert Terwilleger, Alejandro Monsivais-Huertero, Jasmeet Judge, Susan Steele-Dunne, Roger De Roo, Ruzbeh Akbar, Ella Baar, Max Wallace, Anthony England

“…These observations match that of satellite-based passive microwave radiometers and NASA’s recently launched Soil Moisture Active Passive (SMAP) mission. …”
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Forward model emulator for atmospheric radiative transfer using Gaussian processes and cross validation by O. Lamminpää, J. Susiluoto, J. Hobbs, J. McDuffie, A. Braverman, H. Owhadi

“…<p>Remote sensing of atmospheric carbon dioxide (CO<span class="inline-formula">₂</span>) carried out by NASA's Orbiting Carbon Observatory-2 (OCO-2) satellite mission and the related uncertainty quantification effort involve repeated evaluations of a state-of-the-art atmospheric physics model. …”
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Weak magnetism of Martian impact basins may reflect cooling in a reversing dynamo by S. C. Steele, R. R. Fu, A. Mittelholz, A. I. Ermakov, R. I. Citron, R. J. Lillis

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A Data-Driven Approach to Improve Cocoa Crop Establishment in Colombia: Insights and Agricultural Practice Recommendations from an Ensemble Machine Learning Model by Leonardo Talero-Sarmiento, Sebastian Roa-Prada, Luz Caicedo-Chacon, Oscar Gavanzo-Cardenas

“…By integrating data from official Colombian sources, as well as the NASA POWER database, and geographical APIs, the present study proposes a methodology to systematically assess environmental conditions and classify regions for optimal cocoa cultivation. …”
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Analysis of heat waves temporal fluctuation in North - West region of Iran and their relationship with greenhouse gases and global land-ocean temperature anomalies

“…At First, maximum temperature of two meters of the surface during the period from 1851 to 2014 for 164 years was obtained from NASA’s website, then the maps of heat waves was drawn and extracted. …”
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PreMevE‐MEO: Predicting Ultra‐Relativistic Electrons Using Observations From GPS Satellites by Yinan Feng, Yue Chen, Youzuo Lin

“…We developed an innovative Sparse Multi‐Inputs Latent Ensemble NETwork (SmileNet) which combines convolutional neural networks with transformers, and we used long‐term in situ electron data from NASA's Van Allen Probes mission to train, validate, optimize, and test the model. …”
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SWOL2023: Report of Space Weather Observations Throughout Latinoamerica: Filling the Southern Gaps by M. Paula Natali, Amalia M. Meza, Robert Robinson, Diego Janches, Thomas Berger, Sergio Dasso, Clezio DeNardin, Marcelo Colazo

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Assessment of the physical and psychological aspects of the current life support system on the International Space Station for sustainable space exploration by Shuichi Ichimura, Yosuke Alexandre Yamashiki

“…The types and quantities of resupplies for each element were estimated by synthesizing data from multiple sources and compared against baseline values established by the National Aeronautics and Space Administration (NASA) for one crew member per day. To evaluate the qualitative and psychological dimensions of dependence on resupply missions, astronaut feedback and comments documented in reports and articles from space agencies were also analyzed as important references. …”
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Real-time geo-decisional system for risk and disaster management in Madagascar by Rakotoarison Tsiorinantenaina René, Hajalalaina Aimé Richard

“…The real-time SOLAP unit consists of real-time cube formation using a spatial database that stores spatio-temporal data from a given point in time, with query optimization using materialized query technology. Our prototype uses NASA’s weather data streaming service via an API. …”
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