Analysis of FNAC indication in thyroid nodules assessed as low risk according to various TIRADSs by Pierpaolo Trimboli, Petra Makovac, Amos Colombo, Lorenzo Ruinelli, Chiara Dobrinja, Lorenzo Scappaticcio, Andrea Leoncini

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An Ultrawide Bandwidth Digital Backend System Based on PFB Algorithm for QTT by Hai-long Zhang, Ya-zhou Zhang, Shao-cong Guo, Xu Du, Na Wang, Jie Wang, Xin-chen Ye, Han Wu, Jian Li, Xin Pei, Qiao Meng

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Cell-free plasma miRNAs analysis for low invasive lung cancer diagnostics by M. Yu. Konoshenko, P. P. Laktionov, Yu. A. Lancuhaj, S. V. Pak, S. E. Krasilnikov, O. E. Bryzgunova

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Physiological response and transcriptomic analysis of red-fleshed apple seedlings to low temperature stress by LingYu Meng, Rui Zhang, YanPing Wei, Tingting Gu, Jiahao Zhao, Zijing Chen, Zongying Zhang, Nan Wang, Xuesen Chen, Wenjun Liu

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Analysis of early use of everolimus with low-dose calcineurin inhibitors in kidney transplant recipient by I. G. Kim, N. A. Tomilina, I. V. Ostrovskaya, I. A. Skryabina, N. D. Fedorova

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Towards a theory of urban fragmentation: A cross-cultural analysis of fear, privatization, and the state by Setha Low

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Estimating Stellar Atmospheric Parameters and [α/Fe] for LAMOST O-M-type Stars Using a Spectral Emulator by Jun-Chao Liang, A-Li Luo, Yin-Bi Li, Xiao-Xiao Ma, Shuo Li, Shu-Guo Ma, Hai-Ling Lu, Yun-Jin Zhang, Bing Du, Xiao Kong

“…We observed that the internal error dispersions for T _eff , log g , [Fe/H], and [ α /Fe] across different spectral types lie within the ranges of 15–594 K, 0.03–0.27 dex, 0.02–0.10 dex, and 0.01–0.04 dex, respectively, indicating a good consistency. A comparative analysis with external data highlighted deficiencies in the official LAMOST catalog and issues with MaStar parameters, as well as potential limitations of our method in processing spectra with strong emission lines and bad pixels. …”
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Physics‐Based Approach to Thermospheric Density Estimation Using CubeSat GPS Data by Shaylah M. Mutschler, Penina Axelrad, Eric K. Sutton, Dallas Masters

“…This paper provides a direct comparison of estimated density, derived by our new method, to HASDM and Swarm mission derived density. A propagation analysis is also executed by comparing the CubeSat POD data to orbits propagated using our estimated density versus HASDM density. …”
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A loop-counting method for covariate-corrected low-rank biclustering of gene-expression and genome-wide association study data. by Aaditya V Rangan, Caroline C McGrouther, John Kelsoe, Nicholas Schork, Eli Stahl, Qian Zhu, Arjun Krishnan, Vicky Yao, Olga Troyanskaya, Seda Bilaloglu, Preeti Raghavan, Sarah Bergen, Anders Jureus, Mikael Landen, Bipolar Disorders Working Group of the Psychiatric Genomics Consortium

“…A common goal in data-analysis is to sift through a large data-matrix and detect any significant submatrices (i.e., biclusters) that have a low numerical rank. …”
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Can establishing the National Big Data Comprehensive Experimental Zone promote green low-carbon development? Evidence from China by Yushan Yao, Zhe Wang, Shanshan Cao

“…Balanced panel data of 30 provinces and cities from 2005 to 2021 are used to construct a dual machine learning model for empirical analysis. …”
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The Effect of Increasing Aggregation Levels of Electrical Consumption Data on Renewable Energy Community (REC) Analyses by Marco Raugi, Valentina Consolo, Roberto Rugani

“…The study revealed that the impact of consumption data aggregation is more significant in scenarios with low energy sharing, such as the scenario where prosumers were replaced with a producer. …”
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Prediction of Radiation Belts Electron Fluxes at a Low Earth Orbit Using Neural Networks With PROBA‐V/EPT Data by Edith Botek, Viviane Pierrard, Alexandre Winant

“…The Long‐Short Term Memory Neural Network is employed to predict the electron fluxes between 1 and 8 Earth Radius (RE) along a Low Earth Orbit. Different combinations of time series inputs involving Solar Wind and geomagnetic data are tested, based on previous knowledge of their impact onto the high energy radiation fluxes. …”
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Generating Seamless Three-Dimensional Maps by Integrating Low-Cost Unmanned Aerial Vehicle Imagery and Mobile Mapping System Data by Mohammad Gholami Farkoushi, Seunghwan Hong, Hong-Gyoo Sohn

“…This study introduces a new framework for combining calibrated mobile mapping system (MMS) data and low-cost unmanned aerial vehicle (UAV) images to generate seamless, high-fidelity 3D urban maps. …”
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Relationships between rice agricultural parameter and hyperspectra data by WANG Xiu-zheng, HUANG Jing-feng, LI Yun-mei, SHEN Zhang-quan, WANG Ren-chao

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Developing a Hybrid Morphological Analyzer for Low-Resource Languages by Musica Supriya, Dinesh Acharya Udupi, Ashalatha Nayak, Arjuna Srirangapatna Raghavendra

“…Further, a Transformer model is trained with the generated nominal data to generate the morphological analysis for the out-of-vocabulary inflections. …”
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Accuracy of CT texture analysis for differentiating low-grade and high-grade renal cell carcinoma: systematic review and meta-analysis by Wei Yu, Gao Liang, Lichuan Zeng, Yinghua Wu

“…Objectives This study aimed to assess the accuracy of CT texture analysis (CTTA) for differentiating low-grade and high-grade renal cell carcinoma (RCC).Design Systematic review and meta-analysis.Data sources PubMed, Cochrane Library, Embase, Web of Science, OVID Medline, Science Direct and Springer were searched to identify the included studies.Eligibility criteria for including studies Clinical studies that report about the accuracy of CTTA in differentiating low-grade and high-grade RCC.Methods Multiple databases were searched to identify studies from their inception to 20 October 2021. …”
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Responses of vegetation low-growth to extreme climate events on the Mongolian Plateau by Hao Li, Yunfeng Hu, Batunacun

“…It utilizes meteorological and remote sensing vegetation data, combined with consistency and sensitivity analyses. …”
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Navigating the missing data maze: exploring multiple imputation techniques for environmental performance index data by Muhammed Haziq Muhammed Nor, Mohd Aftar Abu Bakar, Noratiqah Mohd Ariff, Wan Hanna Melini Wan Mohtar, Bernard Kok Bang Lee

“…Our results showed that MICEForest, k NN, and MissForest imputation methods produced imputed data closely matching the original data, with minimal impact on central tendencies, as indicated by low MAE, RMSE, MAPE, and WAPE values. …”
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Validity of GPS data in driving cycles by Harry Smith II, Suhail Akhtar, Brian Caulfield, Margaret O'Mahony

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Research and performance analysis of random forest-based feature selection algorithm in sports effectiveness evaluation by Yujiao Li, Yingjie Mu

“…In order to solve the problem of low accuracy in traditional mining methods, the study combines the random forest algorithm with the artificial raindrop algorithm, and adopts a sports data mining method based on feature selection to achieve effective analysis of sports big data. …”
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