Application of Google Earth Engine to Monitor Greenhouse Gases: A Review by Damar David Wilson, Gebrekidan Worku Tefera, Ram L. Ray

“…It discusses the integration of GEE with different machine learning methods and the challenges and opportunities in optimizing algorithms and ensuring data interoperability. …”
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Cyclic Peak Extraction from a Spatial Likelihood Map for Multi-Array Multi-Target Bearing-Only Localization by Chuanxing Hu, Bo Zhang, Xishan Yang, Zhaokai Zhai, Dai Liu

“…Moreover, compared to the position non-linear least squares multi-target localization method, the proposed method has lower optimal sub-pattern assignment distance and lower localization error under the condition of interference and missing detection.…”
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Excellent Silicon Surface Passivation Achieved by Industrial Inductively Coupled Plasma Deposited Hydrogenated Intrinsic Amorphous Silicon Suboxide by Jia Ge, Muzhi Tang, Johnson Wong, Zhenhao Zhang, Torsten Dippell, Manfred Doerr, Oliver Hohn, Marco Huber, Peter Wohlfart, Armin G. Aberle, Thomas Mueller

“…The effective lifetime of symmetrically passivated samples under the optimal condition exceeds 4.7 ms on planar n-type Czochralski silicon wafers with a resistivity of 1 Ωcm, which is equivalent to an effective surface recombination velocity of less than 1.7 cms−1 and an implied open-circuit voltage (Voc) of 741 mV. …”
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Light-YOLO: a lightweight detection algorithm based on multi-scale feature enhancement for infrared small ship target by Ji Tang, Xiao-Min Hu, Sang-Woon Jeon, Wei-Neng Chen

“…Experimental results demonstrate that Light-YOLO outperforms YOLOv8n, achieving optimal performance on an infrared ship small target detection dataset with 9.2G FLOPs. …”
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Single-Lung Transplant Results in Position Dependent Changes in Regional Ventilation: An Observational Case Series Using Electrical Impedance Tomography by Kollengode Ramanathan, Hend Mohammed, Peter Hopkins, Amanda Corley, Lawrence Caruana, Kimble Dunster, Adrian G. Barnett, John F. Fraser

“…Lung transplantation is the optimal treatment for end stage lung disease. Donor shortage necessitates single-lung transplants (SLT), yet minimal data exists regarding regional ventilation in diseased versus transplanted lung measured by Electrical Impedance Tomography (EIT). …”
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Infectious diseases prevention and control with reduced energy consumption in an airport by Tingrui Hu, Shujia Shang, Jingchao Xie, Ying Ji, Peng Xue, Nan Zhang

“…Compared with strict epidemic prevention and control, energy consumption in the airport was reduced by 70–85 % considering both optimized intervention and dynamic passenger flow. …”
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Differentiation between multiple sclerosis and neuromyelitis optic spectrum disorders with multilevel fMRI features: A machine learning analysis by Xiao Liang, Qingwen Zeng, Yanyan Zhu, Yao Wang, Ting He, Lin Wu, Muhua Huang, Fuqing Zhou

“…Notably, similar trends were observed across different brain templates, with models based on RSFC, ALFF, and ReHo yielding optimal performance. These findings suggest that utilizing multilevel fMRI features can effectively differentiate between MS and NMOSD patients.…”
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RETRACTED ARTICLE: Establishment of an Acanthamoeba keratitis mouse model confirmed by amoebic DNA amplification by Heekyoung Kang, Hae-Jin Sohn, A-Young Park, A-Jeong Ham, Jeong-Heon Lee, Young-Hwan Oh, Yong-Joon Chwae, Kyongmin Kim, Sun Park, Hongseok Yang, Suk-Yul Jung, Jong-Hyun Kim, Ho-Joon Shin

“…AK was induced with at least 0.3 × 105 A. castellanii cells (optimal number, 5 × 104), and the infection persisted for two months. …”
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Effects of Elevated CO₂ on Maize Physiological and Biochemical Processes by Pirzada Khan, Tariq Aziz, Rahmatullah Jan, Kyung-Min Kim

“…This balance is essential for optimizing maize cultivation for food security, biofuel production, and environmental sustainability.…”
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Spatio-temporal modelling of extreme low birth rates in U.S. counties by Kai Wang, Yingqing Zhang, Long Bai, Ying Chen, Chengxiu Ling

“…The innovative Bayesian generalized Pareto (GP) quantile regression model is employed for analysing the spatiotemporal pattern of stressful low birth rate and its association with socioeconomic, demographic, and meteorological factors. The optimal stochastic partial differential equation and autoregressive model of order one (SPDE-AR(1)) spatiotemporal structured model is selected based on common Bayesian criteria and scaled threshold weighted continuous ranked probability score, indicating apparent spatial unbalance and deteriorating tendency of falling birth rate. …”
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The Impact of Pinless Navigation in Conventionally Aligned Total Knee Arthroplasty by P. Koenen, M. M. Schneider, T. R. Pfeiffer, B. Bouillon, H. Bäthis

“…If necessary, the block position or resection level were optimized, corrections were protocolled. Postoperatively, standardized radiographs were performed. …”
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Bamboo-inspired ultra-strong nanofiber-reinforced composite hydrogels by Hao Zhuo, Xinyu Dong, Quyang Liu, Lingyi Hong, Zhaolong Zhang, Shuchang Long, Wei Zhai

“…Abstract Biological materials, such as bamboo, are naturally optimized composites with exceptional mechanical properties. …”
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Point and Interval Predictions for Tanjiahe Landslide Displacement in the Three Gorges Reservoir Area, China by Yankun Wang, Huiming Tang, Tao Wen, Junwei Ma, Zongxing Zou, Chengren Xiong

“…Second, a new LSSVM model optimized by a genetic algorithm (GA) was implemented to estimate the noise variance. …”
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Improvement of Soybean Oil Solvent Extraction through Enzymatic Pretreatment by F. V. Grasso, P. A. Montoya, C. C. Camusso, B. G. Maroto

“…Temperature, pH, and incubation time were optimized and diffusion coefficients were estimated for each solid. …”
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Intelligent Electrochemical Sensing: A New Frontier in On-the-Fly Coffee Quality Assessment by Simone Grasso, Maria Vittoria Di Loreto, Alessandro Zompanti, Davide Ciarrocchi, Laura De Gara, Giorgio Pennazza, Luca Vollero, Marco Santonico

“…The possibility of optimizing coffee quality in real time by tuning these parameters could open the way to intelligent coffee machines. …”
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CR-DEQ-SAR: A Deep Equilibrium Sparse SAR Imaging Method for Compound Regularization by Guoru Zhou, Yixin Zuo, Zhe Zhang, Bingchen Zhang, Yirong Wu

“…The rising demand for high precision and real-time processing under complex conditions in resource-constrained environments has spurred interest in deep network-based SAR imaging, which combines traditional sparse SAR imaging methods with deep learning to optimize parameters and scene features while retaining physical model interpretability and enabling fast inference. …”
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On-demand prediction of low-frequency average sound absorption coefficient of underwater coating using machine learning by Nansha Gao, Mou Wang, Xiao Liang, Guang Pan

“…The overall loss function is derived by combining the mean square error between the expected average sound absorption coefficient and its predicted value and the network-optimized loss function to ensure that the 20 sensitive parameters that meet the acoustic performance can be predicted. …”
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Programming for Stimulation-Induced Transient Nonmotor Psychiatric Symptoms after Bilateral Subthalamic Nucleus Deep Brain Stimulation for Parkinson’s Disease by Xi Wu, Yiqing Qiu, Keith Simfukwe, Jiali Wang, Jianchun Chen, Xiaowu Hu

“…We designed algorithms which (1) determine the electrode contacts that induce STPSs and (2) provide a programming protocol to eliminate STPS and maintain the optimal motor functions. Our objective is to test the effectiveness of these algorithms. …”
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Nanosurface‐Reconstructed Fuel Electrode by Selective Etching for Highly Efficient and Stable Solid Oxide Cells by Yueyue Sun, Jun Zhou, Jiaming Yang, Dragos Neagu, Zhengrong Liu, Chaofan Yin, Zixuan Xue, Zilin Zhou, Jiajia Cui, Kai Wu

“…Herein, a simple selective etching method of nanosurface reconstruction is reported to achieve catalytically optimized hierarchical morphology for boosting the SOCs under different operational modes simultaneously. …”
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Feature Selection with Graph Mining Technology by Thosini Bamunu Mudiyanselage, Yanqing Zhang

“…Our aim in this research was to examine the dependencies between features and select the optimal feature set with respect to the original data structure. …”
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