Comparative Analysis of Prediction Models for Trawling Grounds of the Argentine Shortfin Squid <i>Illex argentinus</i> in the Southwest Atlantic High Seas Based on Vessel Position... by Delong Xiang, Yuyan Sun, Hanji Zhu, Jianhua Wang, Sisi Huang, Shengmao Zhang, Famou Zhang, Heng Zhang

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Spatiotemporal evolutionary patterns and influencing factors of urban carbon emissions in China by Qifeng Meng, Chunyi Li

“…On this basis, local Moran’s index, Social Network Analysis (SNA), and the Multiscale Geographically Weighted Regression (MGWR) model were employed to analyze spatial–temporal evolution patterns and influencing factors of urban carbon emissions. …”
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Chaotic and quasi-periodic dynamics in fractional-order nonlinear wave systems within dispersive-dissipative media by Wael W Mohammed, Fakhr Gassem, Rabeb Sidaoui, Aleksander Vokhmintsev, Mostafa M. A. Khater

“…Through the complementary application of the Khater III method and an enhanced Kudryashov technique, we derive closed-form solutions and rigorously validate them via numerical implementation of He’s variational iteration approach. Our analysis uncovers intricate solution behaviors, including nonlinear wave interactions and resonance dynamics within fractional-order temporal frameworks. …”
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Evaluating the Effectiveness of Dimensionality Reduction on Machine Learning Algorithms in Time Series Forecasting by Rida Zaheer, Muhammad Kashif Hanif, Muhammad Umer Sarwar, Ramzan Talib

“…Time series analysis is a critical task across various scientific and industrial domains, enabling the extraction of valuable insights from temporal data. …”
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A Comparison of Approaches for Motion Artifact Removal from Wireless Mobile EEG During Overground Running by Patrick S. Ledwidge, Carly N. McPherson, Lily Faulkenberg, Alexander Morgan, Gordon C. Baylis

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A dual-branch deep learning model based on fNIRS for assessing 3D visual fatigue by Yan Wu, Yan Wu, Yan Wu, TianQi Mu, SongNan Qu, XiuJun Li, XiuJun Li, XiuJun Li, Qi Li, Qi Li, Qi Li

“…The integration of a transformer module and channel attention mechanism significantly enhanced the model’s ability to capture long-range dependencies and adaptively weight hemodynamic features, respectively. …”
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Design of vehicle data engine system based on big data platform and intelligent perception by CHEN Xijun

“…Therefore, it is essential to conduct data mining and analysis for the real-time operation data and the historical O&amp;M data of the vehicles in the same time and space, and enable the users to create and modify the data analysis model without the ability to write code. …”
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THE POTENTIAL OF HYBRID LSTM-GENERATIVE AI ECO-MODEL IN FORECASTING FINANCIAL AND ECONOMIC INDICATORS by Andrii Ivashchenk, Tetiana Ivashchenko

“…The model was trained and tested on historical financial and economic data, including exchange rates, macroeconomic indicators, commodity prices, and sentiment analysis of financial news. Our findings indicate that traditional LSTM models outperform generative AI models in time-series forecasting tasks due to their ability to capture temporal dependencies. …”
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The Fast-Greedy algorithm reveals hourly fluctuations and associated risks of shark communities in a South Pacific city by Ibtissam Chafia, Jihad Zahir, Christophe Lett, Tarik Agouti, Hajar Mousannif, Laurent Vigliola

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Enhanced gait tracking measures for individuals with stroke using leg-worn inertial sensors by Francesco Lanotte, Shusuke Okita, Megan K. O’Brien, Arun Jayaraman

“…Conclusion This approach has the potential to enhance the accuracy and validity of IMU-based gait analysis in individuals with stroke, thereby enhancing clinicians’ ability to monitor and intervene for gait impairments in a rehabilitation setting and beyond.…”
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A Novel Human Action Recognition Model by Grad-CAM Visualization with Multi-level Feature Extraction Using Global Average Pooling with Sequence Modeling by Bidirectional Gated Recu... by Jayamohan Manoharan, Yuvaraj Sivagnanam

“…Abstract Human action recognition is essential in many real-world scenarios, such as video surveillance, human–computer interaction, and behavior analysis. Despite the progress in deep learning, issues such as occlusion, distraction from the background, and motion pattern variability still exist, thus restricting the generalization ability of current models. …”
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Researching the recovery of locomotor activity after traumatic conditions of the lower limb by Atanas Drumev, Danelina Vacheva

“…The ability of living organisms to navigate their environment is essential for survival. …”
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Central auditory processing outcome after stroke in children by Karla M. I. Freiria Elias, Carolina Camargo Oliveira, Marina Junqueira Airoldi, Katia Maria D. Franco, Sônia das Dores Rodrigues, Sylvia Maria Ciasca, Maria Valeriana L. Moura-Ribeiro

“…Auditory competence was established according to the performance in auditory analysis ability. Results Was verified similar performance between groups in auditory closure ability and pronounced deficits in selective attention and temporal processing abilities. …”
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Disaggregation of Annual to Monthly Streamflow: A Case Study of Kızılırmak Basin (Turkey) by Shatha H. D. Al-Zakar, N. Şarlak, Omar M. A. Mahmood Agha

“…The aim of this study is to find the possibilities of using the nonparametric approaches as generators of monthly flows, with emphasis on the ability to reproduce the statistics related to drought and storage analysis for the selected stations in Turkey. …”
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Predicting upper limb motor dysfunction after ischemic stroke: a functional near-infrared spectroscopy-based nomogram model by Menghui Liu, Chunxiao Wan, Chunyan Wang, Xinyi Li

“…Variables related to the FMA-UE score 3 months later were selected from fNIRS data using LASSO regression, and independent risk factors were determined through logistic regression analysis. A nomogram was constructed based on these factors to predict the probability of upper limb motor dysfunction scores after stroke, and the model’s discriminative ability was assessed using the area under the ROC curve (AUC), as well as the clinical net benefit was evaluated using decision curve analysis (DCA).ResultsThe LASSO regression ultimately selected seven variables for the assessment of motor dysfunction post-stroke, of which five were identified as independent risk factors. …”
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Leveraging time for better impulse control: Longer intervals help ADHD children inhibit impulsive responses. by Inga Korolczuk, Boris Burle, Laurence Casini, Krzysztof Gerc, Dorota Lustyk, Magdalena Senderecka, Jennifer T Coull

“…Analysis of RT distributions allowed us to decompose impulsive behaviour into two key elements: the initial urge to react impulsively, and the subsequent ability to inhibit any impulsive erroneous behaviour. …”
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Criteria for Selecting Optimal Nitrogen Fertilizer Rates for Precision Agriculture by Bruno Basso, Davide Cammarano, Peter R. Grace, Giovanni Cafiero, Luigi Sartori, Michele Pisante, Giuseppe Landi, Sergio De Franchi, Francesco Basso

“…The strength of these models is their ability to account for stress by simulating the temporal interaction of stress on plant growth each day during the season. …”

A Nonlinear Method to Identify Seizure Dynamic Trajectory Based on Variance of Recurrence Rate in Human Epilepsy Patients Using EEG by Morteza Farahi, Seyed Saman Sajadi, Fateme Karbasi, Seyed Sohrab Hashemi Fesharaki, Jafar Mehvari Habibabadi, Mohsen Reza Haidari, Amir Homayoun Jafari

“…Results: The method effectively distinguished involved from noninvolved regions across anterior, posterior, right temporal, and left temporal areas with macro averaged F-score of 95.54. …”
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Direction and velocity kinematic features of point-light displays grasping actions are differentially coded within the action observation network by Settimio Ziccarelli, Antonino Errante, Leonardo Fogassi

“…To identify brain regions differentially recruited by grasping direction and velocity, univariate and multivariate pattern analysis (MVPA) were performed. The results of univariate analysis demonstrate that direction is encoded in occipito-temporal and posterior visual areas, while velocity recruits lateral occipito-temporal, superior parietal and intraparietal areas. …”
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Ultrafast Time-Stretch Optical Coherence Tomography Using Reservoir Computing for Fourier-Free Signal Processing by Weiqing Liao, Tianxiang Luan, Yuanli Yue, Chao Wang

“…In this paper, we introduce the first ultrafast time-stretch optical coherence tomography (TS-OCT) system that utilizes reservoir computing (RC) to perform direct temporal signal analysis without relying on Fourier transform techniques. …”
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