Short-term residential load forecasting via transfer learning and multi-attention fusion for EVs’ coordinated charging by Shuhua Gao, Yuanbin Liu, Jing Wang, Zhengfang Wang, Xu Wenjun, Renfeng Yue, Ruipeng Cui, Yong Liu, Xuezhong Fan

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Optimizing Parkinson’s Disease Prediction: A Comparative Analysis of Data Aggregation Methods Using Multiple Voice Recordings via an Automated Artificial Intelligence Pipeline by Zhengxiao Yang, Hao Zhou, Sudesh Srivastav, Jeffrey G. Shaffer, Kuukua E. Abraham, Samuel M. Naandam, Samuel Kakraba

“…Various techniques, such as Bag Over-Sampling (BOS), cross-validation, and grid search, were implemented to enhance classification performance. …”
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Sudden Commencements and Geomagnetically Induced Currents in New Zealand: Correlations and Dependance by A. W. Smith, C. J. Rodger, D. H. Mac Manus, I. J. Rae, A. R. Fogg, C. Forsyth, P. Fisher, T. Petersen, M. Dalzell

“…To examine the potential impact of SCs we evaluate the correlation between the measured maximum GICs and rate of change of the magnetic field (H′) in 75 power grid transformers across New Zealand between 2001 and 2020. …”
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Ionospheric Storm Scale Index Based on High Time Resolution UPC‐IonSAT Global Ionospheric Maps (IsUG) by Qi Liu, Manuel Hernández‐Pajares, Haixia Lyu, Michi Nishioka, Heng Yang, Enric Monte‐Moreno, Tamara Gulyaeva, Yannick Béniguel, Volker Wilken, Germán Olivares‐Pulido, Raül Orús‐Pérez

“…The dependence of the VTEC on season, local time and geographical location at each grid point of UQRG is removed by normalizing (i.e., by substracting the mean and dividing by the corresponding standard deviation) the percentage deviation of hourly median VTEC. …”
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Power supplies dynamic redistribution’s for electric system with dispersed generation by B. A. Kosarev, G. A. Koschuk, V. K. Fedorov, L. G. Polyntsev

“…Virtual electric system is organized on the basis of cellular communication and central computer (smart grid). The algorithm is realized in the computer-aided design MathCAD. …”
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Non-invasive blood glucose monitoring using PPG signals with various deep learning models and implementation using TinyML by Mahdi Zeynali, Khalil Alipour, Bahram Tarvirdizadeh, Mohammad Ghamari

“…The results showed an average root mean squared error (RMSE) of 19.7 mg/dL, with 76.6% accuracy within the A zone and 23.4% accuracy within the B zone of the Clarke Error Grid Analysis (CEGA), indicating a 100% clinical acceptance. …”
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Environmental-economic evaluation of sugar cane bagasse gasification power plants versus combined-cycle gas power plants by F. Mohammadi, M.A. Abdoli, M. Amidpour, H. Vahidi, S. Gitipour

“…Application of bagasse for energy production is a sustainable solution to supply the required energy within the sugar refineries and export the surplus electricity to the grid. Currently, the energy demand in Iranian sugar mills is mainly supplied by fossil fuels (natural gas or mazut). …”
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Geoelectric Field Estimations During Geomagnetic Storm in North China From SinoProbe Magnetotelluric Impedances by Qihe Shao, Ying Liu, Yinhe Luo, Graham Heinson, Yixian Xu, Jinsong Du, Chao Chen

“…Abstract Evaluating the impact of geomagnetic disturbances on power grid infrastructure is critical to mitigate the risk posed by geomagnetically induced currents (GICs). …”
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Genomic and phylogenetic analysis of a NDM-1 producing ST152 Klebsiella pneumoniae isolated from a bloodstream infection in China by Renchi Fang, Lingfang Di, Xuebin Tian, Yongfeng Bai

“…Whole-genome sequencing was conducted using the Illumina HiSeq and Oxford Nanopore GridION X5 platforms, and the genomic features were analyzed using a range of bioinformatics tools. …”
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Gait-Specific Optimization of Composite Footwear Midsole Systems, Facilitated through Dynamic Finite Element Modelling by Dimitris Drougkas, Evagelos Karatsis, Maria Papagiannaki, Serafeim Chatzimoisiadis, Fotini Arabatzi, Stergios Maropoulos, Alexander Tsouknidas

“…The resulting 3D model was subjected to biorealistic loading and boundary conditions, in terms of time-varying plantar pressure distribution and shoe-ground contact constraints. The mesh grid of the FE model was verified as to its conceptual soundness and validated against velocity-driven impact tests. …”
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Harnessing Multi-Source Data and Deep Learning for High-Resolution Land Surface Temperature Gap-Filling Supporting Climate Change Adaptation Activities by Katja Kustura, David Conti, Matthias Sammer, Michael Riffler

“…Our approach addresses common challenges in satellite-derived LST data, such as gaps caused by cloud cover, image border limitations, grid-pattern sensor artifacts, and temporal discontinuities due to infrequent sensor overpasses. …”
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Imaging Shallow Velocity Structure of an Inactive Fault by Airgun Seismic Source: A Case Study of Xiliushui Fault in Qiliang Mountain by Manzhong Qin, Baichen Wu, Yi Wang, Xueyi Shang, Yuansheng Zhang, Xuzhou Liu, Xiao Guo, Rui Zou, Yahong Wang, Dianfeng Sun

“…According to prior information on the properties of the direct P-waves, we could constrain the inverse modeling and conduct a grid search for the fault parameters. The velocity reduction between the FZ and host rock, along with the dip angle of the FZ, were also constrained by the P-wave travel time delay systematic analysis and incoming angle of the P-waves. …”
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Ruptured Noncoronary Sinus of Valsalva Aneurysm by Amaury Dagoberto Martínez Hernández, Dayana Pino Jiménez

“…--[if gte mso 9]><xml> <w:WordDocument> <w:View>Normal</w:View> <w:Zoom>0</w:Zoom> <w:HyphenationZone>21</w:HyphenationZone> <w:PunctuationKerning/> <w:ValidateAgainstSchemas/> <w:SaveIfXMLInvalid>false</w:SaveIfXMLInvalid> <w:IgnoreMixedContent>false</w:IgnoreMixedContent> <w:AlwaysShowPlaceholderText>false</w:AlwaysShowPlaceholderText> <w:Compatibility> <w:BreakWrappedTables/> <w:SnapToGridInCell/> <w:WrapTextWithPunct/> <w:UseAsianBreakRules/> <w:DontGrowAutofit/> </w:Compatibility> </w:WordDocument> </xml><!…”
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Characterizations of cytokines and viral genomes in serum of patients with Dabie bandavirus infection by Zefeng Dong, Man Yuan, Yueping Xing, Hongkai Zhang, Qiang Shen

“…The sequencing process was performed using a Nanopore GridION X5 instrument. Phylogenetic trees for the L, M, and S segments of Dabie bandavirus were constructed using the maximum likelihood (ML) method in MEGA 11 software, with the bootstrap value set at 1,000.ResultsAll 10 patients with Dabie bandavirus infection exhibited a severe clinical course, resulting in three fatalities. …”
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El papel de la gramática en la enseñanza de lengua extranjera: representaciones y prácticas docentes en México by Sara Quintero Ramírez, México, Sonny A. Castro Yáñez

“…In order to examine their teaching practices, we observed teachers, filling up an observation grid which presented different rubrics referring to the teaching of grammar. …”
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Optimal Allocation and Sizing of Battery Energy Storage System in Distribution Network Using Mountain Gazelle Optimization Algorithm by Umme Mumtahina, Sanath Alahakoon, Peter Wolfs

“…During the daily operation of the distribution grid, the charging and discharging behaviour is controlled by minimizing the voltage at each bus. …”
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3D-Printed Anthropomorphic Phantom Framework for Spectral Photon-Counting CT: A Breast Phantom Application by Kyriaki Katsikari, Nadine Francis, Nabil Maalej, Charalampos Pitsalidis, Aamir Younis Raja

“…This study introduces a framework for creating 3D-printed anthropomorphic phantoms optimized for SPCCT, beginning with a breast phantom. A grid search optimization method was used to generate an optimal image acquisition protocol, capable of distinguishing between adipose, fibroglandular, skin, and carcinoma tissues. …”
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Scale effects of physically based TOPKAPI model in reservoir inflow flood forecasting for ungauged basins by Yihua Sheng, Zhijia Li, Zhiyu Liu, Yalei Han, Jie Wang, Junfu Gong, Ning Xu

“…New hydrological insights: The results reveal a strong correlation between geomorphological features and scale, with variations in grid cell size affecting the statistical characteristics of underlying surface data. …”
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Geospatial Modelling for Estimation of PM2.5 Concentrations in Two Megacities in Peninsular India by V. P. Lavanyaa, S. Varshini, Souvik Sankar Mitra, Kiran M. Hungund, Rudrodip Majumdar, R. Srikanth

“…This model is then used to predict the monthly-average grid-wise PM2.5 concentrations in more than 800 grids in each of these two cities to study the spatial and temporal patterns in PM2.5 concentrations between 2016 and 2019. …”
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Learning Air Traffic as Images: A Deep Convolutional Neural Network for Airspace Operation Complexity Evaluation by Hua Xie, Minghua Zhang, Jiaming Ge, Xinfang Dong, Haiyan Chen

“…A MTSI is generated by splitting the airspace into a two-dimension grid map and filled with navigation information. …”
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