Geometrical Similarities Between Metallic Real and Computationally Simulated Grain Structures (Equiaxed Polygonal Grains) by Adán Ramírez-López, Juan Alberto Alcántara-Cárdenas, Ángel de Jesús Morales-Ramírez, Juliana Guadalupe Rosado-Carrasco

“…Then, computational algorithms and standardized procedures were used for characterization. …”
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Diagnostic performance of actigraphy in Alzheimer’s disease using a machine learning classifier – a cross-sectional memory clinic study by Mathias Holsey Gramkow, Andreas Brink-Kjær, Frederikke Kragh Clemmensen, Nikolai Sulkjær Sjælland, Gunhild Waldemar, Poul Jennum, Steen Gregers Hasselbalch, Kristian Steen Frederiksen

“…We derived movement patterns (walking, running, resting, etc.) from raw accelerometry data using a proprietary algorithm. By evaluating the movement patterns during day and nighttime, we calculated 510 activity-related features, including robustness and fragmentation of the circadian rhythm. …”
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Assessing uncertainties in parton showers at double logarithmic accuracy for jet quenching studies by Carlota Andres, Liliana Apolinário, Néstor Armesto, André Cordeiro, Fabio Dominguez, José Guilherme Milhano

“…These are coupled with two kinematic reconstruction schemes defined by different phase-space constraints. We show that, while global features are relatively stable, differences emerge in the temporal evolution of the cascade. …”
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Spatiotemporal High-Resolution Cloud Mapping with a Ground-Based IR Scanner by Benjamin Brede, Boris Thies, Jörg Bendix, Uwe Feister

“…This study presents a retrieval algorithm that evaluates observations of a hemispherically scanning thermal infrared radiometer, the NubiScope, to produce georeferenced, spatially explicit cloud maps. …”
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Numerical simulation of magnetically driven nanomaterial rotating flow configured by convective-radiative cone with chemical reaction by Cyrus Raza Mirza, Muhammad Salman Kausar, Muhammad Nasir, M. Waqas, Nurnadiah Zamri, Iskandar Shernazarov, S.U. Khan, Nidhal Ben Khedher

“…Relevant variables are introduced to transfigure partial differential mathematical expressions to mathematical ordinary ones. …”
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Identification of metabolism-related key genes as potential biomarkers for pathogenesis of immune thrombocytopenia by Xiangmei Xu, Jiamin Zhang, Hongyun Xing, Liying Han, Xiaoming Li, Pengqiang Wu, Jirui Tang, Li Jing, Jie Luo, Jing Luo, Lin Liu

“…Immune infiltration analysis was performed using a single-sample gene set enrichment analysis algorithm to evaluate the differential infiltration levels of immune cell types between ITP patient and control. …”
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Identification of neutrophil extracellular trap-related biomarkers in ulcerative colitis based on bioinformatics and machine learning by Jiao Li, Yupei Liu, Zhiyi Sun, Suqi Zeng, Caisong Zheng

“…To identify potential diagnostic biomarkers, we applied the Least Absolute Shrinkage and Selection Operator (LASSO), Support Vector Machine-Recursive Feature Elimination (SVM-RFE) model, and Random Forest (RF) algorithm, and constructed Receiver Operating Characteristic (ROC) curves to evaluate accuracy. …”
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Use of a Method for Contour Analysis of Radiation Images of Malignant Breast Tumors on the Basis of Retrospective Material by M. K. Mikhailov, E. A. Romanycheva, V. V. Sevast’yanov, Ya. A. Furman

“…An algorithm was elaborated for identifying the outlines of space-occupying lesions on X-ray mammographic images. …”
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Automatic detection and prediction of epileptic EEG signals based on nonlinear dynamics and deep learning: a review by Shixiao Tan, Zhen Tang, Qiang He, Ying Li, Yuliang Cai, Jiawei Zhang, Di Fan, Zhenkai Guo

“…Furthermore, this survey identifies persistent challenges including clinical translation barriers, algorithm performance trade-offs, and feature extraction/selection limitations. …”
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Identification and functional analysis of energy metabolism and pyroptosis-related genes in diabetic nephropathy by Shan He, Jian Ye, Yu Wang, Lu yang Xie, Si Yi Liu, Qin kai Chen

“…Additionally, mRNA-miRNA, mRNA-drug, and mRNA-transcription factor (TF) interaction networks were constructed. Differential expression and receiver operating characteristic (ROC) curve analyses were performed to evaluate the diagnostic potential of EMAPRDEGs. …”
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Cross-Cultural Sense-Making of Global Health Crises: A Text Mining Study of Public Opinions on Social Media Related to the COVID-19 Pandemic in Developed and Developing Economies by Adham Kahlawi, Firas Masri, Wasim Ahmed, Josep Vidal-Alaball

“…ResultsThe analysis revealed significant regional and temporal differences in collective sense-making during the pandemic. …”
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Deeper insight into speech characteristics of patients at ultra-high risk using classification and explainability models by Deok-Hee Kim-Dufor, Michel Walter, Marie-Odile Krebs, Yannis Haralambous, Philippe Lenca, Christophe Lemey, Christophe Lemey

“…A gradient-boosted decision tree algorithm was tested to evaluate its potential to correctly classify three categories of patients and find relevant linguistic markers at the level of lexical richness, semantic coherence, speech disfluency, and syntactic complexity. …”
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Dual-Mode Visual System for Brain–Computer Interfaces: Integrating SSVEP and P300 Responses by Ekgari Kasawala, Surej Mouli

“…Classification accuracy was evaluated based on correct task intention recognition. …”
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Transcriptomic and proteomic analysis reveals wall-associated and glucan-degrading proteins with potential roles in Phytophthora infestans sexual spore development. by Xiaofan Niu, Audrey M V Ah-Fong, Lilianna A Lopez, Howard S Judelson

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Enhancing deep learning methods for brain metastasis detection through cross-technique annotations on SPACE MRI by Tassilo Wald, Benjamin Hamm, Julius C. Holzschuh, Rami El Shafie, Andreas Kudak, Balint Kovacs, Irada Pflüger, Bastian von Nettelbladt, Constantin Ulrich, Michael Anton Baumgartner, Philipp Vollmuth, Jürgen Debus, Klaus H. Maier-Hein, Thomas Welzel

“…Abstract Background Gadolinium-enhanced “sampling perfection with application-optimized contrasts using different flip angle evolution” (SPACE) sequence allows better visualization of brain metastases (BMs) compared to “magnetization-prepared rapid acquisition gradient echo” (MPRAGE). …”
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Analysing Time Series of Land Subsidence in the West of Tehran Province (Shahriar Plain) and its Relation to Groundwater Discharge by InSAR Technique by Ramin Papi, ُSara Attarchi, Masoud Soleimani

“…In the next step, by selecting a set of optimal generated interferograms regarding spatial and temporal baseline and using the SBAS algorithm, the land surface displacement time series were evaluated and the mean displacement velocity map for the region was produced. 3-Results and Discussion The results of using InSAR approach indicate some subsidence event in the eastern part of Shahriar and northwest and west of Eslamshahr with mean velocity of -10 cm per year. …”
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Advanced Sensor Integration and AI Architectures for Next-Generation Traffic Navigation by Cosmina-Mihaela Rosca, Adrian Stancu, Ionuț-Adrian Gortoescu

“…Through the TomTom API, four alternative routes are identified. The performance evaluation showed that GRQIk differentiates route quality, with scores ranging from 26.40% for optimal routes to 100% for the least favorable ones. …”
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Hydrophobicity of periodic structure with taper angle under pressure impact by Ren Goto, Yuki Oshima, Masaki Yamaguchi

“…By using height of a droplet bouncing as an evaluation parameter, we were able to effectively differentiate between taper angles in terms of water repellency. …”
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Atmospheric Turbulence Intensity Image Acquisition Method Based on Convolutional Neural Network by Yuan Mu, Liangping Zhou, Shiyong Shao, Zhiqiang Wang, Pei Tang, Zhiyuan Hu, Liwen Ye

“…Comparison of the results of the convolutional neural network with those of the inverse method and the differential image motion method shows that the convolutional neural network is optimal in three evaluation indexes, namely, the mean deviation, the root-mean-square error, and the correlation coefficient, which are 2.74, 3.35, and 0.94, respectively. …”
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Symmetric Grayscale Image Encryption Based on Quantum Operators with Dynamic Matrices by Luis Olvera-Martinez, Manuel Cedillo-Hernandez, Carlos Adolfo Diaz-Rodriguez, Leonardo Faustinos-Morales, Antonio Cedillo-Hernandez, Francisco Javier Garcia-Ugalde

“…However, existing encryption algorithms often involve complex mathematical operations or require specialized hardware, which limits their efficiency and practicality. …”
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