Trends and Variability of PM2.5 at Different Time Scales over Delhi: Long-term Analysis 2007–2021 by Chetna, Surendra K. Dhaka, Gagandeep Longiany, Vivek Panwar, Vinay Kumar, Shristy Malik, A. S. Rao, Narendra Singh, A. P. Dimri, Yutaka Matsumi, Tomoki Nakayama, Sachiko Hayashida

“…Minimum of the monthly averaged PM2.5 concentration was observed in August, while maximum is November. Satellite data of fire events showed that the crop residue burning over the Punjab region had a significant contribution to the peak PM2.5 levels in Delhi during the crop burning period. …”
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The benefits and trade-offs of multi-variable calibration of the WaterGAP global hydrological model (WGHM) in the Ganges and Brahmaputra basins by H. M. M. Hasan, P. Döll, P. Döll, S.-M. Hosseini-Moghari, F. Papa, A. Güntner, A. Güntner

“…The selected model parameters, determined through a multi-variable, multi-signature sensitivity analysis, were estimated using up to four types of observations: in situ streamflow (<span class="inline-formula"><i>Q</i></span>), GRACE and GRACE Follow-On terrestrial water storage anomaly (TWSA), LandFlux evapotranspiration (ET), and surface water storage anomaly (SWSA) derived from multi-satellite observations. While our sensitivity analysis ensured that the model parameters that are most influential for the four variables were identified in a transparent and comprehensive way, the rather large number of calibration parameters, 10 for the Ganges and 16 for the Brahmaputra, had a negative impact on parameter identifiability during the calibration process. …”
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Temporal analyses of global suitability distribution for fall armyworm based on Multiple factors by Minghao Wang, Wenjiang Huang, Yingying Dong, Yanru Huang, Bing Zhang, Gang Sun, Maged Elkahky, Changping Huang

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Artificial-Intelligence-Based Investigation on Land Use and Land Cover (LULC) Changes in Response to Population Growth in South Punjab, Pakistan by Tanweer Abbas, Muhammad Shoaib, Raffaele Albano, Muhammad Azhar Inam Baig, Irfan Ali, Hafiz Umar Farid, Muhammad Usman Ali

“…Landsat 7, Landsat 8, and Sentinel-2 satellite imagery within the Google Earth Engine (GEE) cloud platform was utilized to create 2003, 2013, and 2023 LULC maps via supervised classification with a random forest (RF) classifier, which is a subset of artificial intelligence (AI). …”
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Epidemiology of community-acquired pneumonia among hospitalised children in Indonesia: a multicentre, prospective study by Rina Triasih, Yan Mardian, Dewi Lokida, Helmia Farida, Herman Kosasih, Adhella Menur Naysilla, Arif Budiman, Chakrawati Hayuningsih, Moh Syarofil Anam, Dwi Wastoro, Mujahidah Mujahidah, Setya Dipayana, Amalia Setyati, Abu Tholib Aman, Nurhayati Lukman, Muhammad Karyana, Ahnika Kline, Aaron Neal, Chuen-Yen Lau, Clifford Lane

“…Objective To identify aetiologies of childhood community-acquired pneumonia (CAP) based on a comprehensive diagnostic approach.Design ‘Partnerships for Enhanced Engagement in Research-Pneumonia in Paediatrics (PEER-PePPeS)’ study was an observational prospective cohort study conducted from July 2017 to September 2019.Setting Government referral teaching hospitals and satellite sites in three cities in Indonesia: Semarang, Yogyakarta and Tangerang.Participants Hospitalised children aged 2–59 months who met the criteria for pneumonia were eligible. …”
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Associations of maternal PM2.5 exposure with preterm birth and miscarriage in women undergoing in vitro fertilization: a retrospective cohort study by Miaoxin Chen, Qiaoyu Chen, Gengze Liao, Chunyan Sun, Cong Liu, Xia Meng, Wentao Li, Andong Qiu, Orhan Bukulmez, Haidong Kan, Feng Wang, Lap Ah Tse, Xiaoming Teng

“…The objective of this study was to investigate the potential associations between ambient PM2.5 exposure during different periods and negative pregnancy outcomes, such as miscarriage and preterm birth, in patients who underwent assisted reproductive technology (ART).MethodsThis retrospective cohort study examined the outcomes of 2,839 infertile women aged ≤ 45 years who underwent their first fresh or frozen-thawed embryo transfer at the Shanghai First Maternity and Infant Hospital between April 2016 and December 2019. Satellite data were used to determine the daily average levels of PM2.5, and exposure was categorized as excessive if it exceeded the WHO’s interim target 2 level of 50 µg/m3. …”
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Association between joint exposure to ambient air pollutants and carotid plaque: The mediating role of cardiometabolic risk factors by Yunfei Li, Ze Han, Xiaoyu Zhao, Yueruijing Liu, Zhiyuan Wu, Jinqi Wang, Xia Li, Xiuhua Guo, Lixin Tao

“…All participants underwent carotid ultrasound and were free of carotid plaque at baseline. A satellite-based land-use regression (LUR) model was applied to estimate air pollution exposure. …”
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Meteorological Anomalies During Earthquake Preparation: A Case Study for the 1995 Kobe Earthquake (M = 7.3) Based on Statistical and Machine Learning-Based Analyses by Masashi Hayakawa, Shinji Hirooka, Koichiro Michimoto, Stelios M. Potirakis, Yasuhide Hobara

“…The two physical quantities of temperature (T)/relative humidity (Hum) and atmospheric chemical potential (ACP) have been investigated with the use of the Japanese meteorological “open” data of AMeDAS (Automated Meteorological Data Acquisition System), which is a very dense “ground-based” network of meteorological stations with higher temporal and spatial resolutions than the satellite remote sensing open data. In order to obtain a clearer identification of any seismogenic effect, we have used the AMeDAS station data at local midnight (LT = 01 h) and our initial target EQ was chosen to be the famous 1995 Kobe EQ of 17 January 1995 (M = 7.3). …”
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Going, going, gone: Landscape drying reduces wetland function across the American West by J. Patrick Donnelly, Johnnie N. Moore, John S. Kimball, Kelsey Jencso, Mark Petrie, David E. Naugle

“…To improve our understanding of rapid ecosystem change, we reconstructed monthly wetland surface water hydrology in the western U.S. from 1984 to 2023 using cloud computing and ∼ 150,000 satellite images to measure shifts in the timing and duration of inundations. …”
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Spatiotemporal variation in biomass abundance of different algal species in Lake Hulun using machine learning and Sentinel-3 images by Zhaojiang Yan, Chong Fang, Kaishan Song, Xiangyu Wang, Zhidan Wen, Yingxin Shang, Hui Tao, Yunfeng Lyu

“…Therefore, this study proposes a machine learning method based on OLCI/Sentinel-3 satellite imagery to retrieve algal biomass abundance. …”
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Spring snowmelt flood disasters in Altay, Northwest China: Spatio-temporal distribution and mechanisms by Dilinuer Tuoliewubieke, Weiyi Mao, Junqiang Yao, Xu Zhang, Shujuan Li, Ping Chen, Liyun Ma, Jing Chen

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Análisis de consistencia de caminos bidireccionales usando mediciones continuas de velocidad de operación obtenidas con GPS Two-lane rural highways consistency analysis using conti... by Tomás Echaveguren

“…In that case, speed-geometry models for single elements are not suitable. Today satellite positioning technology is an efficient way to develop continuous speed profile for long sectors of roads, particularly useful for aggregated consistency assessement. …”
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Supporting rotational grazing systems with virtual fencing: paddock transitions, beef heifer performance, and stress response by N.A. Grinnell, D. Hamidi, M. Komainda, F. Riesch, J. Horn, I. Traulsen, R. Palme, J. Isselstein

“…VF uses Global Navigation Satellite System technology, wireless communication, and stimuli (auditory and electrical) to manage livestock movements and contain animals without physical barriers. …”
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Remote Sensing of Sun-Induced Fluorescence in a Deep Lake: Disentangling Quenching Mechanisms Improves Relationship With Chlorophyll-a Concentration Estimates by Remika S. Gupana, Daniel Odermatt, Abolfazl Irani Rahaghi, Camille Minaudo, Mortimer Werther, Claudia Giardino, Alexander Damm

“…We conclude that enhanced atmospheric correction in the red-to-near-infrared region for oligo-mesotrophic lakes is needed to demonstrate the upscaling of our in-situ-based results. This will enhance satellite-based SIF yield retrievals and, subsequently, obtain SIF-related phytoplankton physiology products.…”
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Mid-Infrared High-Power InGaAsSb/AlGaInAsSb Multiple-Quantum-Well Laser Diodes Around 2.9 μm by Hongguang Yu, Chengao Yang, Yihang Chen, Jianmei Shi, Juntian Cao, Zhengqi Geng, Zhiyuan Wang, Haoran Wen, Enquan Zhang, Yu Zhang, Hao Tan, Donghai Wu, Yingqiang Xu, Haiqiao Ni, Zhichuan Niu

“…The quantum wells exhibit high crystalline quality, as evidenced by distinct satellite peaks in XRD curves with a full width at half maximum (FWHM) of 56 arcseconds for the zeroth-order peak, a smooth surface with a root mean square (RMS) roughness of 0.19 nm, room-temperature photoluminescence with high luminous efficiency and narrow FHWM of 35 meV, and well-defined interfaces. …”
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The ASK-16 motorized glider: an airborne eddy covariance platform to measure turbulence, energy, and matter fluxes by I. Wiekenkamp, A. K. Lehmann, A. Bütow, J. Hartmann, S. Metzger, S. Metzger, T. Ruhtz, C. Wille, M. Zöllner, T. Sachs, T. Sachs

“…<p>Airborne eddy covariance measurements can bridge the gap between local (tower-based) and regional (satellite/inversion-derived) flux data, as they provide information about the spatial distribution of turbulent fluxes for larger regions. …”
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Comparative Analysis of Tillage Indices and Machine Learning Algorithms for Maize Residue Cover Prediction by Jian Li, Kewen Shao, Jia Du, Kaishan Song, Weilin Yu, Zhengwei Liang, Weijian Zhang, Jie Qin, Kaizeng Zhuo, Cangming Zhang, Yu Han, Yiwei Zhang, Bingrun Sui

“…Herein, seven tillage indices derived from Sentinel-2 satellite imagery were analyzed alongside measured MRC data to assess their correlation with MRC. …”
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Dietary protein intake and PM2.5 on ovarian cancer survival: A prospective cohort study by He-Li Xu, Yi-Fan Wei, Qi Bao, Ya-Li Wang, Xiao-Ying Li, Dong-Hui Huang, Fang-Hua Liu, Yi-Zi Li, Yue-Yang Zhao, Xin-Xin Zhao, Qian Xiao, Song Gao, Ren-Jie Chen, Ling Ouyang, Xia Meng, Xue Qin, Ting-Ting Gong, Qi-Jun Wu

“…Average residential PM2.5 concentrations were evaluated using satellite-derived models. We calculated the hazard ratio (HR) and its 95 % confidence interval (CI) by adjusting for multiple variables using Cox proportional risk models. …”
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An atmospheric correction method for Himawari-8 imagery based on a multi-layer stacking algorithm by Menghui Wang, Donglin Fan, Hongchang He, You Zeng, Bolin Fu, Tianlong Liang, Xinyue Zhang, Wenhan Hu

“…In conclusion, the algorithm developed in this study enables consistent AC for both open and near-shore waters, offering an ideal solution for the AC of Himawari-8 satellite images.…”
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Single-Nucleus RNA Sequencing Reveals Cellular Transcriptome Features at Different Growth Stages in Porcine Skeletal Muscle by Ziyu Chen, Xiaoqian Wu, Dongbin Zheng, Yuling Wang, Jie Chai, Tinghuan Zhang, Pingxian Wu, Minghong Wei, Ting Zhou, Keren Long, Mingzhou Li, Long Jin, Li Chen

“…We identified 56,072 cells across 12 clusters, including myofibers, fibro/adipogenic progenitor (FAP) cells, muscle satellite cells (MUSCs), and other resident cell types. …”
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