Permutation Entropy for Signal Analysis by Bill Kay, Audun Myers, Thad Boydston, Emily Ellwein, Cameron Mackenzie, Iliana Alvarez, Erik Lentz

“…An empirical analysis of the methods herein on radio frequency data is included. …”
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A Coupled Least Absolute Shrinkage and Selection Operator–Backpropagation Model for Estimating Evapotranspiration in Xizang Plateau Irrigation Districts with Reduced Meteorological... by Qiang Meng, Jingxia Liu, Fengrui Li, Peng Chen, Junzeng Xu, Yawei Li, Tangzhe Nie, Yu Han

“…Short-term ET_O predictions for the three districts were also conducted using the mean-generating function optimal subset regression algorithm. The results revealed significant multicollinearity among six meteorological factors (maximum temperature, minimum temperature, average temperature, average relative humidity, sunshine duration, and average wind speed), as identified through tolerance, variance inflation factor (<i>VIF</i>), and eigenvalue analysis. …”
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Generation of geometric irregularities as random disturbances causing rail cab oscillations by A. N. Savoskin, N. S. Lavlinskaya

“…The new method generated random irregularities for the track coordinate using a multivariate shaping filter whose impulse characteristics were found with analytical expressions of auto- and cross-correlation functions.Results. The authors refined the probabilistic values of rail track irregularities that may be used to specify disturbances of rail cab oscillations when solving dynamics problems and proposed a simplified irregularity generation method for the track coordinate argument that provides high convergence to the previously obtained data.Discussion and conclusion. …”
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Measurement of level of PTSD with the International Trauma Questionnaire (ITQ): bias and precision when using full ordinal or dichotomized items by Tine Nielsen, Ask Elklit, Sabrina Brødsgaard Nielsen, Mikkel Auning-Hansen, Svend Kreiner, Maria Louison Vang

“…Another strand of research on the measurement properties of the ITQ has used dichotomized items and focused on discovering the model that best described the data found no evidence of DIF.Aim: To investigate the consequences of using dichotomized ITQ PTSD items for detecting DIF, other departures from the Rasch model as well as implications for measurement precision.Methods: We used Rasch and graphical log-linear Rasch models for the analysis, as these models have previously been employed in the only psychometric study using the original polytomous ITQ PTSD items.Results: The use of dichotomized PTSD items lead to detection of less DIF than previous research with the polytomous items, and it accentuated local dependence between items and DIF relative to gender. …”
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quicR: An R library for streamlined data handling of real-time quaking induced conversion assays by Gage R. Rowden, Peter A. Larsen

“…The open source R library, quicR, was developed to provide a standardized approach to RT-QuIC data analysis. quicR provides functions, which can be easily integrated into existing R workflows, for data curation, analysis, and visualization.…”
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Exploring the molecular mechanisms of comorbidity between thyroid cancer and breast cancer through multi-omics data by Rui Yang, Jiayi Li, Hongyang Zhang, Huan Liu, Bin Lian, Jinping Li

“…Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyzed the biological functions of hub genes. Immune infiltration analysis was performed to reveal the association and expression correlation between the hub genes and immune cells and to explore the relationship between the hub genes and genes related to immunity, autophagy, and ferroptosis. …”
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Barriers to the Adoption of Big Data Analytics in Saudi Arabia’s Manufacturing Sector: An Interpretive Structural Modeling Approach by Almuhannad S. Alorfi, Naif Alsaadi

“…However, there exist several barriers that undermine the successful adoption of big data analytics in these industries. This paper presents a structural analysis of the barrier to big data analytics adoption in manufacturing industries. …”
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Advancing Cost Estimation Through BIM Development: Focus on Energy-Related Data Associated with IFC Elements by Maryam Gholamzadehmir, Jacopo Cassandro, Claudio Mirarchi, Alberto Pavan

“…This is followed by parametric energy simulations to evaluate retrofit scenarios, with cost data integrated and energy analysis reports linked to IFC elements. …”
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Deconvolution of expression microarray data reveals 131I-induced responses otherwise undetected in thyroid tissue. by Britta Langen, Nils Rudqvist, Johan Spetz, Khalil Helou, Eva Forssell-Aronsson

“…These findings indicate that deconvolution can optimize microarray data analysis of heterogeneous sample material for biomarker screening or other clinical applications.…”
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deeptime: an R package that facilitates highly customizable and reproducible visualizations of data over geological time intervals by William Gearty

“…Data visualization is a key component of any scientific data analysis workflow and is vital for the summarization and dissemination of complex ideas and results. …”
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A structural health monitoring data reconstruction method based on VMD and SSA-optimized GRU model by Xiaoliang Jia, Guoyan Zhang, Zhiqiang Wang, Huacong Li, Jing Hu, Songlin Zhu, Caiwei Liu

“…To address this challenge, this study develops a method combining Variational Mode Decomposition (VMD) and Sparrow Search Algorithm (SSA)-optimized Gate Recurrent Unit (GRU) for recovering structural response data. The methodology initially employs Variational Mode Decomposition (VMD) to preprocess and decompose the existing data from the target sensor into Intrinsic Mode Functions (IMFs) and residuals. …”
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Application of Graph-Theoretic Methods Using ERP Components and Wavelet Coherence on Emotional and Cognitive EEG Data by Sencer Melih Deniz, Ahmet Ademoglu, Adil Deniz Duru, Tamer Demiralp

“…<b>Methods:</b> Emotional data were collected at the Physiology Department of Istanbul Medical Faculty at Istanbul University, whereas cognitive data were obtained from the DepositOnce repository of Technische Universität Berlin. …”
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AN ANALYSIS OF TRANSITIVITY IN JAVA LIBRARY by Raphaël Muloway MUAMBILA BANTU

“…Abstract : This article is an investigation into the language of Java Library with a view to find out if and how the ideational function of language is instantiated in it. It is a transitivity analysis of some constructs of Java Library in order to discover if and how Java developers construe the experience in this rubric of Java, an object-oriented programming language. …”
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A Methodological and Structural Review of Parkinson&#x2019;s Disease Detection Across Diverse Data Modalities by Abu Saleh Musa Miah, Taro Suzuki, Jungpil Shin

“…To address these gaps, this study presents a comprehensive review of PD recognition systems across diverse data modalities, including Magnetic Resonance Imaging (MRI), gait-based pose analysis, gait sensory data, handwriting analysis, speech test data, Electroencephalography (EEG), and multimodal fusion techniques. …”
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Cumulative hazard ratio estimation for adverse events data from two-stage dynamic treatment regimes by Sifiso Vilakati

“…To address these challenges, this study employs cumulative hazard functions to compare the safety profiles of different treatment policies, offering a more precise quantification of adverse event risk in the context of competing outcomes. …”
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Protocol to identify regulatory modules in Parkinson’s disease progression using miRNA data and Boolean modeling by Ahmed Abdelmonem Hemedan, Venkata Satagopam, Reinhard Schneider, Marek Ostaszewski

“…Summary: Regulatory modules are molecules that interact functionally, driving disease processes. Here, we present a protocol for identifying regulatory modules in Parkinson’s disease (PD) using cohort-specific microRNA (miRNA) data and Boolean modeling. …”
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OrgaCCC: Orthogonal graph autoencoders for constructing cell-cell communication networks on spatial transcriptomics data. by Xixuan Feng, Shuqin Zhang, Limin Li

“…The rapid advancements in spatial transcriptomics (ST) have enabled the analysis of CCC within its spatial context. Despite the development of several computational methods for inferring CCCs from ST data, most rely on literature-curated gene or protein interaction lists, which are often inadequate due to the restricted gene coverage. …”
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A data driven approach using local measurements to locate turbine governors causing forced oscillations by Sigurd Hofsmo Jakobsen, Xavier Bombois, Santiago Sanchez Acevedo, Hallvar Haugdal, Salvatore D’Arco

“…When forced oscillations are detected, they are located by finding the transfer functions that describe the behaviour of the corresponding plant the worst. …”
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From chemoproteomic‐detected amino acids to genomic coordinates: insights into precise multi‐omic data integration by Maria F Palafox, Heta S Desai, Valerie A Arboleda, Keriann M Backus

“…Enabled by this examination of mapping strategies, we then integrated our chemoproteomics data with computational methods for predicting genetic variant pathogenicity, which revealed that codons of highly reactive cysteines are enriched for genetic variants that are predicted to be more deleterious and allowed us to identify and functionally characterize a new damaging residue in the cysteine protease caspase‐8. …”
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Robust fault detection and severity classification in rotating machinery using VMD-LSTM for limited data scenarios by Ammar Mrabti, Ramdane Younes, Nouredine Ouelaa, Tarek Kebabsa, Zakarya Ouelaa

“…This paper introduces a novel approach that combines Variational Mode Decomposition (VMD) and Long Short-Term Memory (LSTM) networks to improve gear and bearing defect detection, filling a gap in fault diagnostics by effectively handling limited training data. VMD decomposes signals into intrinsic mode functions (IMFs), while LSTM classifies fault types and severity levels based on time-domain features extracted from the IMFs. …”
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