Time Series Forecasting Based on Temporal Networks Evolution and Dynamic Constraints by Yunlong Peng, Han Li, Xu Han

“…A loss function is constructed by integrating the ability of weighted temporal networks to reconstruct the original time series data and visibility-based constraint features, enabling the computation of predicted values for next time step. …”
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Cardiac structural and molecular alterations in rodent models of temporal lobe epilepsy by Zining Liu, Shobi Sivathamboo, Peravina Thergarajan, Flavia M. Gomes, Idrish Ali, Kim L. Powell, Piero Perucca, Nigel C. Jones, Terence J. O'Brien, Pablo Casillas‐Espinosa

“…In rats, heart scarring and stiffness (fibrosis) increased both shortly after seizures and during chronic epilepsy, and the ability to produce key heart proteins was altered. …”
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Optimal Design of Single-Cell Experiments within Temporally Fluctuating Environments by Zachary R. Fox, Gregor Neuert, Brian Munsky

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Innovative approach for gauge-based QPE in arid climates: comparing neural networks and traditional methods by Bayan Banimfreg, Ernesto Damiani, Vesta Afzali Gorooh, Duncan Axisa, Luca Delle Monache, Youssef Wehbe

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Driving Factors in the Development of Eye Movement Patterns in Chinese Reading: The Roles of Linguistic Ability and Oculomotor Maturation by Meihua Guo, Nina Liu, Jingen Wu, Chengchieh Li, Guoli Yan

“…Path analysis explored how these factors predict temporal and spatial eye movement measures. …”
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Diagnostic Ability and Capacity of Optical Coherence Tomography-Angiography to Detect Retinal and Vascular Changes in Patients with Fibromyalgia by Elena Garcia-Martin, Alvaro Tello, Elisa Vilades, Javier Perez-Velilla, Beatriz Cordon, Diego Fernandez-Velasco, Javier Garcia-Campayo, Marta Puebla-Guedea, Maria Satue

“…A logistic regression analysis was performed, and an LDF was calculated to evaluate OCT’s contribution to FM diagnosis. …”
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The dyslexia candidate locus on 2p12 is associated with general cognitive ability and white matter structure. by Thomas S Scerri, Fahimeh Darki, Dianne F Newbury, Andrew J O Whitehouse, Myriam Peyrard-Janvid, Hans Matsson, Qi W Ang, Craig E Pennell, Susan Ring, John Stein, Andrew P Morris, Anthony P Monaco, Juha Kere, Joel B Talcott, Torkel Klingberg, Silvia Paracchini

“…Only the MRPL19/C2ORF3 locus showed statistically significant association (minimum P = 0.00009) which was further supported by independent replications following analysis in four other cohorts. In addition, a fifth independent sample showed association between the MRPL19/C2ORF3 locus and white matter structure in the posterior part of the corpus callosum and cingulum, connecting large parts of the cortex in the parietal, occipital and temporal lobes. …”
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Spatio-temporal risk prediction of leptospirosis: A machine-learning-based approach. by Rodrigue Govan, Romane Scherrer, Baptiste Fougeron, Christine Laporte-Magoni, Roman Thibeaux, Pierre Genthon, Philippe Fournier-Viger, Cyrille Goarant, Nazha Selmaoui-Folcher

“…The spatial analysis was conducted at a finer resolution than the city level, while the temporal analysis was performed on a monthly basis from 2011 to 2022. …”
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Contextual Modulation of Primary Visual Cortex by Temporal Predictability During Motion Extrapolation by Camila Silveira Agostino, Herman Hinrichs, Toemme Noesselt

“…ABSTRACT Background Predicting future events is a fundamental cognitive ability that often depends on the volatility of the environment. …”
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Relation Learning Using Temporal Episodes for Motor Imagery Brain-Computer Interfaces by Xiuyu Huang, Shuang Liang, Yuanpeng Zhang, Nan Zhou, Witold Pedrycz, Kup-Sze Choi

“…In this paper, we address this issue by proposing a few-shot learning method called temporal episode relation learning (TERL). TERL models MI with only limited trials from the target subject by the ability to compare MI trials through episode-based training. …”
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Spatial and Temporal Variation of GPP and Its Response to Urban Environmental Changes in Beijing by Le Chen, Simin Yu, Shi Shen, You Wan, Changqing Song

“…GTWR extends GWR by adding temporal analysis, enabling a comprehensive examination of spatiotemporal data variations. …”
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Prediction of Shield Tunneling Attitude Based on WM-CTA Method by GAO Su, CHEN Cheng

“…Experiments were conducted on data for noise reduction and correlation analysis, followed by analysis of the model’s prediction performance and generalization ability. …”
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Reproduction and Wing Differentiation of Gynoparae Are Regulated by Juvenile Hormone Signaling in <i>Aphis gossypii</i> by Liuyu Wang, Jingli Lv, Xiangzhen Zhu, Kaixin Zhang, Qingyu Shi, Li Wang, Weihua Ma, Jichao Ji, Junyu Luo, Jinjie Cui

“…Two nested U-shaped zones containing a series of waxy secreta spots were present on the abdomen of the fourth instar nymphs, and these morphological characteristics could be used as important markers for identifying gynoparae. Temporal transcriptomic analysis suggested that juvenile hormone (JH) might be involved in regulating the development of gynoparae. …”
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Evaluation of focal mechanism and inducing burst ability of large energy mine earthquakes in deep thick overburden mine by Quanping ZHANG, Yinghao HAO, Yongjin HUO, Qian ZHAO, Siyuan GONG, Rupei ZHANG

“…The research results provide theoretical support for the generation mechanism and induced burst ability analysis of large energy mine earthquakes under similar thick overburden conditions.…”
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Verbal paired associates learning lateralizes left hippocampal sclerosis in temporal lobe epilepsy by Andy Sitoh, David Weintrob, Jacqueline F. I. Anderson, Angela R. Jackman, Marie F. O'Shea, Graeme D. Jackson, Piero Perucca, Chris Tailby

“…Methods Retrospective analysis of Rey Auditory Verbal Learning Test (RAVLT) and PAL scores obtained from 116 surgically naïve temporal lobe epilepsy patients with HS (14 bilateral, 57 left, 45 right; range of N across test indices: 77–110). …”
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Gait Spatio-Temporal Parameters Vary Significantly Between Indoor, Outdoor and Different Surfaces by Lorenzo Brognara, Alberto Arceri, Marco Zironi, Francesco Traina, Cesare Faldini, Antonio Mazzotti

“…Some important spatio-temporal parameters, useful in detecting people with gait impairment and at risk of falling, are significantly affected by environment and individual postural ability more than demographic factors.…”
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Probabilistic Deep Learning for Highly Multivariate Spatio-Temporal Log-Gaussian Cox Processes by Achmad Choiruddin, Ekky Rino Fajar Sakti, Tintrim Dwi Ary Widhianingsih, Jorge Mateu, Kartika Fithriasari

“…Despite limited applications in multivariate point pattern analysis, this study aims to introduce deep learning as a tool for parameter estimation of the multivariate spatio-temporal log-Gaussian Cox Process (LGCP) model. …”
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SASTGCN: Semantic-Augmented Spatio-temporal graph convolutional network for subway flow prediction by Shiyuan Jin, Changfeng Jing, Sheng Yao, Yushan Zhang, Pu Zhao, Jinlong Zhang

“…The SASTGCN model was validated with the card swiping data in Shanghai, the prediction ability and error analysis results demonstrated the performance outperform nine baseline methods, and the accuracy was improved by approximately 21%. …”
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Insights into the evolution and regulation of miRNAs from the view of their DNA replication temporal domains by Xudong Wu, Tingting Liu

“…IntroductionThe DNA replication of eukaryotes proceeds in a defined temporal sequence known as the replication timing (RT) program. …”
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Multi-channel spatio-temporal graph attention contrastive network for brain disease diagnosis by Chaojun Li, Kai Ma, Shengrong Li, Xiangshui Meng, Ran Wang, Daoqiang Zhang, Qi Zhu

“…To address these problems, we propose a multi-channel spatio-temporal graph attention contrastive network for DBNs analysis. …”
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