Obarvanje oljnih premazov z utekočinjenim lesom by Matjaž Pavlič, Anja Šporar, Jure Žigon

“…Barvne razlike smo določili z meritvami barve pred premazovanjem in po njem ter po izpostavitvi UV svetlobi. Naša raziskava je potrdila, da je UL kompatibilen s tungovim in Bio impregnol WM oljem, ter se posledično lahko uspešno uporablja za njuno za njuno obarvanje. …”
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Analysis of accuracy of the beginning of hijriah months reckoning of ad-Dur al-Aniq book in 20 years by Muchamad Choirun Nizar, Bashori Alwi

“…After comparing the calculation results using the Jean Meeus algorithm and NASA SKYCAL, the result is that the average difference between the three calculations is no more than 2 minutes.…”
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Inference of Wildfire Causes From Their Physical, Biological, Social and Management Attributes by Yavar Pourmohamad, John T. Abatzoglou, Erica Fleishman, Karen C. Short, Jacquelyn Shuman, Amir AghaKouchak, Matthew Williamson, Seyd Teymoor Seydi, Mojtaba Sadegh

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Remaining useful life prediction of lithium-ion batteries using a novel particle flow filter framework with grey model by Wang Shuai, Li Yiting, Zhou Shoubin, Chen Lifei, Michael Pecht

“…Finally, a test dataset is divided into early, middle, and late stages to predict the RUL of LIBs and obtain the probability distributions. On the CALCE and NASA PCoE LIB dataset, GM-PFF reduces RMSE by 1% compared to PFF, exhibiting a higher prediction accuracy and effectively addressing the particle degradation problem.…”
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Using the Nonuniform Dynamic Mode Decomposition to Reduce the Storage Required for PDE Simulations by Brenton T. Hall, Ching-Shan Chou, Jen-Ping Chen

“…The NU-DMD was also applied to a computational fluid dynamics simulation of a NASA single-stage compressor rotor, which resulted in a reduced model of the simulation (using only three of the five simulation variables) that used only about 4.67% of the full simulation’s storage with an overall average percent error of 8.90%. …”
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The Three-Dimensional Structure of Transatlantic African Dust Transport: A New Perspective from CALIPSO LIDAR Measurements by Dong Liu, Yingjian Wang, Zhien Wang, Jun Zhou

“…We analyzed over two years of LIDAR measurements from NASA’s CALIPSO and CloudSat satellites to document the vertical pathways of transatlantic transport of Saharan dust. …”
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Radiation Exposure and Shielding Effects on the Lunar Surface by Daniel Matthiä, Thomas Berger

“…This work investigated the expected dose rates for maximum GCR intensity and the total dose from several historical solar energetic particle events, including the NASA reference event, through the application of numerical simulations with the Geant4 Monte‐Carlo framework. …”
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Microgrids for Extraterrestrial Habitats: A Review of Technologies, Needs, and Challenges by Leila Chebbo, Muhammed Ali Gultekin, Ali Bazzi, Sean A. Q. Young, Joseph P. Kozak

“…The National Aeronautics and Space Administration (NASA) and other space organizations are preparing for new space exploration and habitation initiatives. …”
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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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HESPERIA REleASE+: Improving Solar Proton Event Forecasting by Means of Automated Recognition of Type‐III Radio Bursts by Arik Posner, Olga Ε. Malandraki, Michalis Karavolos, Kostas Tziotziou, Fanis Smanis, Bernd Heber, Henrik Dröge, Patrick Kühl, Giorgos P. Veldes

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Unveiling farmers’ perceptions: a citizen science and machine learning approach to exploring drivers in the adequacy and fairness of water systems by Vasilios Plakandaras, Fahad Khan Khadim, Vassiliki Kazana, Emmanouil Anagnostou, Amvrossios C Bagtzoglou

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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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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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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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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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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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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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