Aerosol-Precipitation Interactions over India: Review and Future Perspectives by S. Ramachandran, S. Kedia

“…Over Bay of Bengal CER is positively correlated with AOD suggesting an inverse aerosol indirect effect. In future, observatories to measure aerosol characteristics (amount, size, type, chemical composition, mixing, vertical and horizontal distributions), and cloud properties (number and size) over several locations in India, and intense observational campaigns involving aircraft and ships are crucial to unravel the quantitative impact that aerosols have on Indian monsoon. …”
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New Photometric Investigation of the Solar-Type Shallow-Contact Binary HH Bootis by Jia-jia He, Jing-jing Wang

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Optimal Sensor Placement for Inverse Finite Element Reconstruction of Three-Dimensional Frame Deformation by Yong Zhao, Jingli Du, Hong Bao, Qian Xu

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L’Observatoire photographique national du paysage : transformations d’un modèle et hypothèses renouvelées de paysage by Frédérique Mocquet

“…The creation of so many Photographic Observatories of the Landscape presents a paradox. Why is this initiative such a success, given the difficulties encountered and the recurring criticism expressed by leading organisations concerning the implementation of this “tool”? …”
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A CME Automatic Detection Method Based on Adaptive Background Learning Technology by Zhenping Qiang, Xianyong Bai, Qinghui Zhang, Hong Lin

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Enhanced YOLOv8-based method for space debris detection using cross-scale feature fusion by Yang Guo, Xianlong Yin, Yao Xiao, Zhengxu Zhao, Xu Yang, Chenggang Dai

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The Hottest Neptunes Orbit Metal-rich Stars by Shreyas Vissapragada, Aida Behmard

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Prospects for the characterization of habitable planets by Mazevet, Stephane, Affholder, Antonin, Sauterey, Boris, Bixel, Alex, Apai, Daniel, Ferriere, Regis

“…Informed by these applications for solar system situations where habitability and inhabitation is questionned, we show how the method can be used to inform the design of future space observatories by considering habitability and inhabitation of Earth-like exoplanets around sun-like stars.…”
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Parameter Acquisition Study of Mining-Induced Surface Subsidence Probability Integral Method Based on RF-AGA-ENN Model by Jinman Zhang, Liangji Xu, Jiewei Li, Yueguan Yan, Ruirui Xu

“…., quantity and quality) from ground movement observatories and the parameter inversion method. To obtain more accurate PIM parameters in the absence of observational data, we propose a combined machine learning model (RF-AGA-ENN)—random forest (RF) extracts the best combination of features as the input layer of Elman neural network (ENN); ant colony algorithm (ACO) and genetic algorithm (GA) are combined (called AGA) for the weights and thresholds of ENN optimization. …”
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Direct imaging of exoplanets: Legacy and prospects by Chauvin, Gael

“…In that perspective, direct imaging from ground-based observatories or in space is playing a central role in concert with other observing techniques. …”
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Evaluation of high-resolution snowpack simulations from global datasets and comparison with Sentinel-1 snow depth retrievals in the Sierra Nevada, USA by L. Sourp, L. Sourp, S. Gascoin, L. Jarlan, V. Pedinotti, K. J. Bormann, M. W. Baba

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Continuous Gravitational Waves from Thermal Mountains on Accreting Neutron Stars: Effect of the Nuclear Pasta Phase by Hong-Bo Li, Lijing Shao, Cheng-Jun Xia, Ren-Xin Xu

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Hazard Scenarios Related to Submarine Volcanic-Hydrothermal Activity and Advanced Monitoring Strategies: A Study Case from the Panarea Volcanic Group (Aeolian Islands, Italy) by Davide Romano, Alessandro Gattuso, Manfredi Longo, Cinzia Caruso, Gianluca Lazzaro, Andrea Corbo, Francesco Italiano

“…The experience carried out at Panarea demonstrates that the best way to face any submarine volcanic-hydrothermal hazard is to improve the collection of data in near real-time mode by multidisciplinary seafloor observatories and to combine it with periodical sampling activity.…”
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Coastal Hazard and Vulnerability Assessment in Cameroon by Mesmin Tchindjang, Philippes Mbevo Fendoung, Casimir Kamgho

“…In addition, despite the existence of the National Contingency Plan devised by the Directorate of Civil Protection, National Risk, and Climate Change Observatories, the implementation of disaster risk reduction and mitigation strategies is suboptimal.…”
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More Efficient and Reliable: Identifying RRab Stars with Blazhko Effect by Deep Convolutional Neural Network by Nan Jiang, Tianrui Sun, Siyuan Pan, Lingzhi Wang, Xue Li, Bin Sheng, Xiaofeng Wang

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Comparison of the Applicability of Two Reanalysis Products in Estimating Tall Tower Wind Based on Multiple Linear Regression and Artificial Neural Network in South China by Xiangxiang Li, Xiaochen Qin, Jun Yang, Weiming Xu

“…In this study, the applicability of two popular reanalysis datasets (ERA5 and MERRA2) in estimating wind characteristics for four tall tower observatories (TTOs) in South China was assessed. For each TTO, linear and nonlinear downscaling techniques, namely, multiple linear regression (MLR) and an artificial neural network (ANN), respectively, were adopted for the downscaling of the scalar wind speed and the corresponding U/V components. …”
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Phase-transition-induced Collapse of Proto-compact Stars and Its Implication for Supernova Explosions by Xu-Run Huang, Shuai Zha, Ming-chung Chu, Evan P. O’Connor, Lie-Wen Chen

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Bulge Oscillation Driven by Outflows of Active Galactic Nuclei. I. Fast Outflow Case by Yue-Chang Peng, Jian-Min Wang, Yu Zhao, Luis C. Ho

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Forecast Customization System (FOCUS): A Multimodel Ensemble-Based Seasonal Climate Forecasting Tool for the Homogeneous Climate Zones of Myanmar by Itesh Dash, Masahiko Nagai, Indrajit Pal

“…The tool was developed using hindcast data from 7 Global Climate Models (GCMs) and observed rainfall data from 49 meteorological surface observatories for the period of 1982 to 2011 from the Department of Meteorology and Hydrology. …”
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Exploring Variation of Double-peak Broad-line Profile in Strongly Variable AGNs by Jiancheng Wu, Qingwen Wu, Kai-Xing Lu, Xinwu Cao, Xiangli Lei, Mengye Wang, Xiao Fan

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