Using natural vegetation succession to evaluate how natural restoration proceeds under different climate in Yunnan, Southwest China. by Weifeng Gui, Qingzhong Wen, Wenyuan Dong, Xue Ran, Xiaosong Yang, Guangqi Zou, Dechang Kong

“…The times for natural succession to reach the forest stage vary from 5 to 19 years, which aligns with the order of indices. …”
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Identification of a machine learning-based diagnostic model for axial spondyloarthritis in rheumatological routine care using a random forest approach by Xenofon Baraliakos, Uta Kiltz, Philipp Sewerin, Imke Redeker, David Kiefer, Ioana Andreica, Styliani Tsiami, Jan Eicker

“…In the test dataset, the model reached an accuracy of 0.9234, a sensitivity of 0.9586, a specificity of 0.8438 and a ROC-AUC of 0.9717. …”
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Personalized metronomic radiopharmaceutical therapy through injection profile optimization via physiologically based pharmacokinetic (PBPK) modeling by Aryan Golzaryan, M. Soltani, Farshad Moradi Kashkooli, Babak Saboury, Arman Rahmim

“…We designed a treatment algorithm to select optimal regimens with high AD, while investigating what we term radiopharmaceutical delivery payload (RDP). …”
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Dual‐fluorescence imaging and automated trophallaxis detection for studying multi‐nutrient regulation in superorganisms by Lior Baltiansky, Einav Sarafian‐Tamam, Efrat Greenwald, Ofer Feinerman

“…Additionally, our image‐based deep learning algorithm for automatic detection of ant trophallaxis events efficiently yields a detailed record of all food‐transfer interactions. …”
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Pilot-Based Codebook Non-Orthogonal Artificial Noise Schemes for Physical Layer Security: Secrecy Capacity Optimization Under Unknown Eavesdropper Channels by Yi Zhang, Yebo Gu, Tao Zhao, Bo Wang

“…It uses the successive convex approximation algorithm to analyze the optimal power allocation strategy and the maximum number of eavesdropper antennas that the system can tolerate under these conditions. …”
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Mapping of cotton bolls and branches with high-granularity through point cloud segmentation by Lizhi Jiang, Javier Rodriguez-Sanchez, John L. Snider, Peng W. Chee, Longsheng Fu, Changying Li

“…Additionally, branch types were classified using point cloud meshing completion and the Dijkstra shortest path algorithm. The results highlight that the accuracy and mean intersection over union (mIoU) of the 2-class segmentation based on PointNet++ reached 0.954 and 0.896 on the whole plant dataset, and 0.968 and 0.897 on the branch dataset, respectively. …”
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Development and assessment of Leaf Area Index of Russia's vegetation cover based on multi-angular observations by KMSS (Meteor-M) and neural network inversion of PROSAIL model by D.E. Plotnikov, Z. Zhou, P.A. Kolbudaev, E.A. Loupian, A.M. Matveev, M.V. Zimin, B.S. Zhukov, T.V. Kondratieva, S.V. Lebedev

“…A reasonably high model accuracy of LAI retrieval was reached: RMSE=1, MAE=0.705 and R2=0.722. Based on the developed method, KMSS-2-based and 60-meters-resolution LAI product was produced and tested over the territory of Russia using 2022-year data. …”
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SGO enhanced random forest and extreme gradient boosting framework for heart disease prediction by Anima Naik, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

“…Similarly, the optimized XGB classifier reached 93.44% Acc. and 95.24% ROC-AUC on Cleveland, and 97.62% Acc. with 97.50% ROC-AUC on Statlog. …”
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Decision-making power enhances investors’ neural processing of persuasive message in partnership investment by Jianbiao Li, Peikun Chen, Jingjing Pan, Chengkang Zhu

“…Furthermore, using a support vector machine (SVM) algorithm, the INS could accurately predict receivers’ adoption of persuasive messages when they held dominant decision-making power. …”
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Strengths and weaknesses of Global Positioning System (GPS) data-loggers and semi-structured interviews for capturing fine-scale human mobility: findings from Iquitos, Peru. by Valerie A Paz-Soldan, Robert C Reiner, Amy C Morrison, Steven T Stoddard, Uriel Kitron, Thomas W Scott, John P Elder, Eric S Halsey, Tadeusz J Kochel, Helvio Astete, Gonzalo M Vazquez-Prokopec

“…As the distance threshold selected increased, the concordance between SSI and raw GPS data increased (beyond 20 meters most locations reached their maximum concordance). Processing raw GPS data using a signal-clustering algorithm decreased overall concordance to 14.3%. …”
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Primary posterior capsulorexis: historical aspects and the current state of the issue by E.V. Egorova, A.O. Direev

“…In pediatric practice, it is well known that posterior hyaloid membrane (PHM) can act as a matrix for the migration of ECL, and the frequency of opacity of the optical axis after PPC reaches 60%. Therefore, in a number of clinics, the standard algorithm for cataract surgery in children includes not only PPC, but also anterior vitrectomy, although this complex approach is not always effective. …”
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DEICTIC MITIGATION VS COMMISSIVE ACTS IN POLITICAL INTERVIEW (BASED ON THE MODERN EUROPEAN DISCOURSE OF AID TO UKRAINE) by Nataliia K. Kravchenko, Sviatoslav I. Vylinskyi, Oleksandr I. Yudenko

“…The purpose is achieved by solving the following objectives that determine the research algorithm, including (a) felicity conditions revealing for commissives, weakened by shields that affect the illocutionary force of acts; (b) identifying those deictic coordinates of statements, the reference to which weakens the illocutionary force of commissives; (c) lexical-semantic and syntactic deictic mitigators complex determination. …”
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The Development Path and Carbon-Reduction Method of Low-Carbon Pilot Urban Areas in China by Lining Zhou, Qingqin Wang, Haizhu Zhou, Yiqiang Jiang, Rongxin Yin, Tong Lu

“…It is found that under the enhanced low-carbon scenario, the Eco-City will reach its peak in 2043 (2.253 million tons of CO₂) and drop to 2.182 million tons of CO₂ in 2050. …”
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Research on axial compensation precision puncture control method of prostate puncture robot by Li Bing, Zhu Junwu, Yuan Lipeng

“…Then, an improved adaptive particle swarm optimization (PSO) algorithm based on Levy Flight is proposed to identify parameters of this control model for puncture prostate in this article. …”
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Risk prediction of hyperuricemia based on particle swarm fusion machine learning solely dependent on routine blood tests by Min Fang, Chengjie Pan, Xiaoyi Yu, Wenjuan Li, Ben Wang, Huajian Zhou, Zhenying Xu, Genyuan Yang

“…Subsequently, a risk prediction model is constructed based on the parameter optimization of five machine learning models using the PSO algorithm. The accuracy and sensitivity of the proposed particle swarm fusion Stacking model reach 97.8% and 97.6%, marking an improvement in accuracy of over 11% compared to the state-of-the-art models. …”
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DMC-LIBSAS: A Laser-Induced Breakdown Spectroscopy Analysis System with Double-Multi Convolutional Neural Network for Accurate Traceability of Chinese Medicinal Materials by Tianhe Huang, Wenhao Bi, Yuxiao Song, Xiaolin Yu, Le Wang, Jing Sun, Chenyu Jiang

“…The system consists of a LIBS signal generation module, a spectral preprocessing module, and an algorithm analysis module—Double-Multi Convolutional Neural Network (DMCNN)—achieving a direct mapping from input data to output results. …”
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Interpretable Machine Learning for Thermospheric Mass Density Modeling Using GRACE/GRACE‐FO Satellite Data by Qian Pan, Chao Xiong, ShunZu Gao, Zhou Chen, Artem Smirnov, Chunyu Xu, Yuyang Huang

“…When using just these three parameters, the R2 still reaches 0.842. Additionally, our model demonstrated robust performance over varying prediction durations, with R2 exceeding 0.800 for predictions extending up to 1 hr. …”
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Research on the Construction and Application of Earthquake Emergency Information Knowledge Graph Based on Large Language Models by Wentao Zhou, Meng Huang, Shuai Liu, Qiao You, Fanxin Meng

“…The path confidence constraint algorithm (PCCA) is used to achieve deep semantic associations of earthquake disaster elements. …”
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A Low-Cost Antipodal Vivaldi Antenna-Based Peanut Defect Rate Detection System by Yuanyuan Yin, Fangyan Ma, Xiaohong Liu, Shuhao Wang, Junjie Xia, Liqing Zhao

“…By implementing the XGBoost algorithm, we established predictive models for defect rate quantification (regression) and defect grade classification. …”
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Unlocking the InSAR potential for managing underground gas storage in salt caverns by Gabriele Fibbi, Roberto Montalti, Matteo Del Soldato, Stefano Cespa, Alessandro Ferretti, Riccardo Fanti

“…This study employs multi-temporal Interferometric Synthetic Aperture Radar (InSAR) analysis, using Sentinel-1 data and the SqueeSAR algorithm, to monitor surface displacement at two UGS sites in Lower Saxony, Germany. …”
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