Finding Possible Precursors for the 2015 Cotopaxi Volcano Eruption Using Unsupervised Machine Learning Techniques by Juan C. Anzieta, Hugo D. Ortiz, Gabriela L. Arias, Mario C. Ruiz

“…In this work we use records from a broadband seismic station located at less than 4 km from the vent that encompass data from April to December of 2015, to detect and study low-frequency seismic events. We applied unsupervised learning schemes to group and identify possible premonitory low-frequency seismic families. …”
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Development of ultra-short PCR assay to reveal BRAF V600 mutation status in Thai colorectal cancer tissues. by Nunthawut Chat-Uthai, Pichpisith Vejvisithsakul, Sutthirat Udommethaporn, Puttarakun Meesiri, Chetiya Danthanawanit, Yannawan Wongchai, Chinachote Teerapakpinyo, Shanop Shuangshoti, Naravat Poungvarin

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Precise Relative Positioning of Vehicles with On-the-Fly Carrier Phase Resolution and Tracking by Fabian de Ponte Müller, Diego Navarro Tapia, Matthias Kranz

“…Solving for the unknown integer ambiguity is specially challenging for low-cost single-frequency receivers. Using the well-known LAMBDA (Least-squares AMBiguity Decorrelation Adjustment) algorithm, in this paper, we present a method for tracking the ambiguity vector solution, which is able to detect and recover from cycle slips and cope with changing satellite constellations. …”
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Epidemiological and pharmacoeconomic aspects of HIV infection in military by Yu. I. Bulankov, M. A. Bulygin, A. V. Bespalov, K. V. Zhdanov, A. A. Murachev, K. S. Ivanov, Yu. I. Lyashenko

“…The research compares two competitive models: “Current Situation” - without the introduction of algorithms for early detection and treatment of HIV infection, and “Prognosis” - with the introduction of these algorithms.The following results are obtained: implementing a mandatory triennial screening for HIV-antibodies among military personnel allows to raise the detection of HIV-positive military personnel in the early stages of the disease by 55%. …”
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Newborn Screening for Metachromatic Leukodystrophy in Tuscany: The Paradigm of a Successful Preventive Medicine Program by Sabrina Malvagia, Alessandra Bettiol, Margherita Porcaro, Massimo Mura, Silvia Funghini, Daniela Ombrone, Giulia Forni, Emanuela Scolamiero, Filippo Coppi, Roberta Damiano, Cristina Cereda, Simonetta Simonetti, Annalisa Lonetti, Marta Daniotti, Anna Caciotti, Amelia Morrone, Valeria Calbi, Francesca Fumagalli, Alessandro Aiuti, Elena Procopio, Renzo Guerrini, Giancarlo la Marca

“…Retrospective analysis of eight neonatal and fifteen non-neonatal DBS from patients with genetically confirmed MLD showed that the algorithm accurately identified MLD patients. This diagnostic algorithm proved feasible and accurate for early detection of MLD in prospective NBS.…”
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Development and validation of a carotid plaque risk prediction model for coal miners by Yi-Chun Li, Yi-Chun Li, Yi-Chun Li, Tie-Ru Zhang, Tie-Ru Zhang, Tie-Ru Zhang, Fan Zhang, Fan Zhang, Fan Zhang, Chao-Qun Cui, Chao-Qun Cui, Chao-Qun Cui, Yu-Tong Yang, Yu-Tong Yang, Yu-Tong Yang, Jian-Guang Hao, Jian-Ru Wang, Jiao Wu, Hai-Wang Gao, Ying-Bo Liu, Ming-Zhong Luo, Li-Jian Lei, Li-Jian Lei, Li-Jian Lei

“…Finally, a nomogram was plotted to increase its interpretability.ResultsThe XGBoost algorithm demonstrated superior performance in feature screening, identifying the top five features as follows: age, systolic blood pressure, low-density lipoprotein cholesterol, white blood cell count, and body mass index (BMI). …”
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Prediction of recurrent febrile seizures risk during the same febrile illness in children at a single tertiary centre in Turkiye by Gül Yücel, Ahmet Kadir Arslan, Bilge Özgör, Serdal Güngör

“…Potential risk factors contributing to the development of RFS were seizure duration, number of recurrent seizures, family history, body temperature, time from fever onset to seizure, time from seizure onset to arrival at the emergency department, hyponatraemia, osmotic pressure and low haemoglobin level. The CBA algorithm obtained a total of 11 classification rules for the two patient groups. …”
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Cathepsin G promotes arteriovenous fistula maturation by positively regulating the MMP2/MMP9 pathway by Lemei Hu, Changqing Zheng, Ying Kong, Zhiqing Luo, Fengzhang Huang, Zhigang Zhu, Quhuan Li, Ming Liang

“…Next, we integrated the results obtained from the degree algorithm provided by the Cytohubba plug-in, Molecular complex detection (MCODE) plug-in, weighted gene correlation network analysis (WGCNA), and Least absolute shrinkage and selection operator (LASSO) logistic regression. …”
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A novel data-driven based high-precision building roof contour full-automatic extraction and structured 3D reconstruction method combining stereo images and LiDAR points by Xiongwu Xiao, Kai Wang, Zhichao Zhong, Wenhu Qu, Weiwei Wu, Zhigao Cui, Yanzhao Su, Aihua Li, Jianya Gong, Deren Li

“…Therefore, this paper proposes a novel data-driven algorithm for roof-contour-extraction and structured-3D-reconstruction by fusing stereo-images and LiDAR-point-clouds. …”
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The Mobile Complex of Chemical Control as the Basis of Technical Equipment of the Mobile Diagnostic Group of the 33 Central Scientific Research Test Institute of the Ministry of De... by V. A. Inozemtsev, A. K. Zhokhov, A. Yu. Boyko, A. S. Samorodov, A. V. Zhidyaev, A. A. Braginets

“…The complex is capable of detecting both low-hazard and emergency concentrations of practically all known toxic chemicals in various samples, and identifying these substances in environmental objects.…”
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In vitro machine learning-based CAR T immunological synapse quality measurements correlate with patient clinical outcomes. by Alireza Naghizadeh, Wei-Chung Tsao, Jong Hyun Cho, Hongye Xu, Mohab Mohamed, Dali Li, Wei Xiong, Dimitri Metaxas, Carlos A Ramos, Dongfang Liu

“…However, current manually quantified IS quality data analysis is time-consuming and labor-intensive with low accuracy, reproducibility, and repeatability. …”
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Accuracy Assessment of the Antarctic Digital Elevation Model Based on the ICESat-2 Elevation Data by Jie WANG, Zhiyu ZHANG, Yang JIANG, Pufan ZHAO, Songhua WU

“…This study first validated the elevation accuracy of the ICESat-2 ATL06 (Advanced Topographic Laser Altimeter System Land Ice Height) data products using the IDHDT4 (IceBridge HiCARS Depth Digitizer Time Series, Version 4) data from the 2015 Operation IceBridge campaign of NASA in the McMurdo Dry Valleys region and mitigated disturbances from cloud cover, snowfall, and other factors through a quality control algorithm. Building upon this validation, this study systematically assessed the elevation accuracy of the 32 m resolution REMA DEM across selected low-ablation regions of the Antarctic ice sheet, delineated according to Antarctic drainage basin boundaries, using the ATL06 data as a reference. …”
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Early revealing of neurogenic disorders of urination in patients with anorectal anomalies by Makedonsky I.O.

“…It was noted that patients with high and low forms of this defect have significant percentage of neurogenec disorders of urination. …”
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A comparative study between Near-Infrared (NIR) spectrometer and High-Performance Liquid Chromatography (HPLC) on the sensitivity and specificity. by Elisa M Maffioli, Chimezie Anyakora

“…Over the past two decades, there have been significant technological advancements in low-cost, portable screening devices to detect poor-quality medicines, which could be especially beneficial in these countries. …”
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ASM-VoFDehaze: a real-time defogging method of zinc froth image by Wenhui Xiao, Zhaohui Tang, Ce Yang, Wei Liang, Meng-Yen Hsieh

“…Finally, a variable order fractional differential operator is used to enhance the edges and texture details of the restored froth image, which solves the problems of blurred edges and low contrast. The experiments show that the algorithm has a good defogging effect on the industrial images, enhance the edges of the image, and can be effectively implemented in O(N) time to meet the application requirements of real-time flotation monitoring.…”
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Application of Bivariate Reproducing Kernel-Based Best Interpolation Method in Electrical Tomography by Yongguang Tan, Jingqi Wang, Junqi Yu, Boqi Wu, Jinchao Shen, Xiangchen Guo

“…Electrical Tomography (ET) technology is widely used in multiphase flow detection due to its advantages of low cost, visualization, fast response, non-radiation, and non-invasiveness. …”
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Configuring Transmission Thresholds in IIoT Alarm Scenarios for Energy-Efficient Event Reporting by David E. Ruiz-Guirola, Onel L. A. Lopez, Samuel Montejo-Sanchez

“…Power consumption is reduced by up to 95% in low-density scenarios compared to the benchmark and by 63% in high-density scenarios.…”
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AGU2-Net: Multi-Scale U²-Net Enhanced by Attention Gate Mechanism for Image Tampering Localization by Kefei Wu, Lin Li, Qingyan Li

“…Although deep learning algorithms based on convolutional neural networks (CNNs) have made notable progress in image forgery detection, they still face certain limitations in effectively detecting and localizing tampered areas due to the subtle nature of existing manipulation traces. …”
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On the role of diagnosis of prostate diseases at the outpatient appointment of a therapist by A. L. Kebina, A. S. Sycheva, A. L. Vertkin, G. Yu. Knorring

“…The first stage in the diagnosis of oncological disease are therapists, to whom patients come with general complaints (fatigue, low-grade fever, joint pain, dysuria, etc.). The most urgent task in the work of a general practitioner is the timely detection of a tumor disease and referral of a patient for treatment to an oncologist. …”
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Method for Distinguishing the Digital Images in Different Formats by Kobozeva A.A., Bobok I.I., Kushnirenko N.I.

“…The algorithm efficiency was evaluated using Type I and Type II errors, as well as ap-plying the accuracy coefficient (ACC). …”
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