The Multiphysics Analysis and Suppression Method for the Electromagnetic Noise of Permanent-Magnet Motors Used in Electric Vehicle by Junhong Dong, Hongbin Yin, Guohao Li, Xiaojun Wang, Mingyang Luo

“…A method for predicting the electromagnetic noise of a permanent-magnet motor based on the coupling of electromagnetic force and modal is proposed. …”
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The SahulCHAR collection: a palaeofire database for Australia, New Guinea, and New Zealand by E. Rehn, H. Cadd, S. Mooney, T. J. Cohen, H. Munack, A. T. Codilean, M. Adeleye, K. K. Beck, M. Constantine IV, C. Gouramanis, J. M. Hanson, P. J. Jones, A. P. Kershaw, L. Mackenzie, M. Maisie, M. Mariani, K. Matley, D. McWethy, K. Mills, P. Moss, N. R. Patton, N. R. Patton, C. Rowe, J. Stevenson, J. Tibby, J. Wilmshurst

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Identifying dispersal events of red foxes (Vulpes vulpes) using early warning signals by Felicitas Oehler, Janosch Arnold, Klaus Hackländer, Johannes Signer, Stéphanie C. Schai-Braun, Robert Hagen

“…Methods We tested whether early warning signals (EWSs) on time series of the NSD, can be used to predict dispersal events. To identify EWSs we conducted a rolling window approach and evaluated the dispersal events by performing a spatial cluster analysis with the mechanistic range shift analysis (MRSA). …”
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Large-Scale Maize Condition Mapping to Support Agricultural Risk Management by Edina Birinyi, Dániel Kristóf, Roland Hollós, Zoltán Barcza, Anikó Kern

“…The agreement between the yield category maps and those predicted from the crop condition time series by our Random Forest model was 84.56%, while the F1 score was 0.74 with a two-category yield map. …”
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The Novel Dual GIP and GLP‐1 Receptor Agonist Tirzepatide Attenuates Colon Cancer Development by Regulating Glucose Metabolism by Yikai Zhang, Yi Xie, Shenglong Xia, Xinnuo Ge, Jiaying Li, Fang Liu, Fan Jia, Shengyao Wang, Qiao Zhou, Menghan Gao, Weihuan Fang, Chao Zheng

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Human–wildlife interactions by C. Rosell, F. Llimona

“…The second paper provides an example of how the distribution of irrigated croplands influences wild boar roadkills in NW Spain (Colino–Rabanal et al., 2012). By modeling the spatial distribution of wild boar collisions with vehicles and using generalized additive models based on GIS, the authors show that the number of roadkills is higher in maize croplands than in forested areas. …”
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A novel approach for joint indoor localization and activity recognition using a hybrid CNN-GRU and MRF framework. by Sarmad Sohaib, Syed Mohsin Bokhari, Muhammad Shafi, Anas Alhashmi

“…The CNN-GRU successfully captures spatial and temporal dependencies, while the MRF models the mutual relations of activities and locations by estimating their joint probability distribution. …”
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Climate-responsive vector control strategies for Aedes albopictus by Jesús Bellver-Arnau, Laura Blanco-Sierra, Santi Escartin, Simone Mariani, Frederic Bartumeus

“…Methods In this study, we employed a metapopulation model to simulate Ae. albopictus population dynamics and dispersal, optimizing the timing and spatial allocation of larvicidal treatments. …”
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Remote sensing perspective in exploring the spatiotemporal variation characteristics and post-disaster recovery of ecological environment quality, a case study of the 2010 Ms7.1 Yu... by Yaohui Liu, Yu Lin, Wenyi Liu, Jie Zhou, Jin Wang

“…Then, we analyzed the spatiotemporal characteristics of Yushu’s EEQ from 2001 to 2020 and explored spatial autocorrelation relationships. Last, the driving mechanism of EEQ recovery in Yushu was analyzed using the GeoDetector model. …”
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Spatiotemporal analysis of Anopheles gambiae larval sites and malaria transmission in Djilakh, Central Senegal by Assane Ndiaye, Camille Morlighem, Aminata Niang Diène, Moussa Kane, Abdoulaye Diallo, Fassiatou Tairou, Mohamed Abderemane Nourdine, Pape Cheikh Sarr, Lassana Konaté, Ousmane Faye, Oumar Gaye, El Hadji Amadou Niang, Catherine Linard, Ousmane Sy

“…Abstract Background The progress made against malaria has resulted in a nationwide reduction of the disease burden in Senegal. The observed overall low transmission levels are, however, marked by an important spatial heterogeneity with hotspots subsisting in several parts of the country. …”
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Forest cover restoration analysis using remote sensing and machine learning in central Malawi by Jabulani Nyengere, Precious Masuku, Sylvester Chikabvumbwa, Weston Mwase, Msaiwale Kathewera, Allena Laura Njala, Wilson Tchongwe, Isaac Tchuwa, Tiwonge I Mzumara, Chikondi Chisenga, Wilfred Kadewa, Emmanuel Chinkaka, Harineck Tholo

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Vertical Velocity Diagnosed From Surface Data With Machine Learning by Jing He, Amala Mahadevan

“…We evaluate the machine learning models' sensitivities to different inputs, spatial resolution of surface fields, the addition of noise, and information about the subsurface density. …”
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SOME DYNAMIC PROCESSES AT LONGITUDINALLY-TRANSVERSE SHIFT OF THE CARGO by Leontii MURADIAN, Anzhelika SHVETS, Angela SHVETS

“…During the analytical simulation, a multibody model of the spatial oscillations of the wagon was used. …”
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Relative Humidity and Air Temperature Characteristics and Their Drivers in Africa Tropics by Isaac Kwesi Nooni, Faustin Katchele Ogou, Abdoul Aziz Saidou Chaibou, Samuel Koranteng Fianko, Thomas Atta-Darkwa, Nana Agyemang Prempeh

“…Semi-arid regions in the Sahelian–Guinean belt recorded moderate TEMP (25–30 °C) and RH (30–60%), while the Guinean coastal belt and Congo Basin experienced cooler, more humid conditions (TEMP < 20 °C, RH (60–90%). (2) Trend analysis using Mann–Kendal and Sen slope estimator analysis revealed spatial heterogeneity, with increasing TEMP and deceasing RH trends varying by region and season. (3) The warming rate was higher in arid and semi-arid areas, with seasonal rates exceeding annual averages (0.18 °C decade⁻¹). …”
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Impact of Extreme Climate Indices on Vegetation Dynamics in the Qinghai–Tibet Plateau: A Comprehensive Analysis Utilizing Long-Term Dataset by Hanchen Duan, Beiying Huang, Shulin Liu, Jianjun Guo, Jinlong Zhang

“…Both correlation analysis and random forest methodologies underscore the impact of extreme climate indices on vegetation variations, with the random forest model exhibiting superior capability in capturing nonlinear relationships. …”
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Hemodynamic predictors of rupture in abdominal aortic aneurysms: a case series using computational fluid dynamics by Kiyoon Moon, Yosep Lee, Junseong Lee, Youngki Son, Youngje Woo, Eunju Jang, Sangseob Yun, Suncheol Park, Jangyong Kim

“…ECAP demonstrated the highest spatial specificity for rupture. Overlay models revealed that ILT-prone zones corresponded with high-RRT regions and often co-localized with rupture sites.ConclusionsCFD-derived hemodynamic parameters, particularly ECAP was spatially correlated with AAA rupture sites. …”
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The Environmental Niche of the Light Purse Seine Fleet in the Northwest Pacific Ocean Based on Automatic Identification System Data by Shenglong Yang, Lijun Wan, Linlin Yu, Jiashu Shi, Weifeng Zhou, Shengmao Zhang, Fei Wang, Zuli Wu, Yang Dai, Keji Jiang, Wei Fan

“…By applying boosted regression trees (BRTs) and generalized additive models (GAMs), this study establishes nonlinear relationships between fishing intensity and predictor variables and explores the ecological and environmental drivers behind the spatial distribution of light purse seine vessels from the Chinese mainland in the Northwest Pacific. …”
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Water Quality in the Ma’an Archipelago Marine Special Protected Area: Remote Sensing Inversion Based on Machine Learning by Zhixin Wang, Zhenqi Zhang, Hailong Li, Hong Jiang, Lifei Zhuo, Huiwen Cai, Chao Chen, Sheng Zhao

“…The results indicated that the random forest model could reliably predict Chl-a, phosphate, and DIN concentrations in the MMSPA. …”
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Hyperspectral remote sensing for air pollutants: Stereoscopic monitoring, source localization &amp; warning, and a dynamic emission inventory concept by Chengzhi Xing, Haochen Peng, Cheng Liu, Qihua Li, Zhijian Tang, Wei Tan, Haoran Liu, Qianqian Hong

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Large Variations in HIV-1 Viral Load Explained by Shifting-Mosaic Metapopulation Dynamics. by Katrina A Lythgoe, François Blanquart, Lorenzo Pellis, Christophe Fraser

“…Here, we present mathematical, analytical, and computational results that demonstrate that consideration of the spatial structure of the viral population within the host radically alters predictions of previous models. …”
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