Parvalbumin neurons enhance temporal coding and reduce cortical noise in complex auditory scenes by Jian Carlo Nocon, Howard J. Gritton, Nicholas M. James, Rebecca A. Mount, Zhili Qu, Xue Han, Kamal Sen

“…Abstract Cortical representations supporting many cognitive abilities emerge from underlying circuits comprised of several different cell types. …”
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Effect of Static Balance Ability on Dual-Task Costs Under Different Walking TaskInterventions in Chinese Older Adults by WANG Chenglong, NIE Mingjian, XIAO Chenhui, WU Yini, WANG Jingjing

“…Cognitive dual-task conditions prolonged all temporal parameters (stride time, single/double support, swing time; all P < 0.05) and reduced spatial parameters (stride length, velocity, cadence; all P < 0.05). …”
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SODS: Soil Health On-Demand Sensors—A Multi Parameter Field Study with Temporal Monitoring by Vikram Narayanan Dhamu, Mohammed A. Eldeeb, Anil C. Somenahally, Sriram Muthukumar, Shalini Prasad

“…Real-time monitoring of soil health parameters is crucial for efficient use of resources, improving agricultural productivity, and sustainability. Traditional soil analysis methods, although accurate, are time-consuming and lack the spatial and temporal resolution necessary for dynamic agricultural environments. …”
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Temporal Dynamics in Short Text Classification: Enhancing Semantic Understanding Through Time-Aware Model by Khaled Abdalgader, Atheer A. Matroud, Ghaleb Al-Doboni

“…Furthermore, the model is applied to a different-fields categorization and trend analysis task, demonstrating its capability to capture temporal patterns and perform detailed trend analysis of domain-agnostic textual content. …”
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Learning spatio-temporal context for basketball action pose estimation with a multi-stream network by Zhihao Zhang, Wenyue Liu, Yuan Zheng, Linkang Du, Lezhong Sun

“…Abstract Accurate athlete pose estimation in basketball is crucial for game analysis, player training, and tactical decision-making. …”
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Inversion Method Based on Temporal Convolutional Networks for Random Ice Load on Conical Offshore Platforms by Wei Li, Ya Guo, Shuzhao Li, Yang Gao, Yan Qu

“…To improve the model’s generalization ability, its hyperparameters are optimized using particle swarm optimization (PSO). …”
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Spatio-Temporal Generalization of VIS-NIR-SWIR Spectral Models for Nitrogen Prediction in Sugarcane Leaves by Carlos Augusto Alves Cardoso Silva, Rodnei Rizzo, Marcelo Andrade da Silva, Matheus Luís Caron, Peterson Ricardo Fiorio

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Human Activity Recognition Using Graph Structures and Deep Neural Networks by Abed Al Raoof K. Bsoul

“…While CNN-based models excel at spatial feature extraction, they struggle with temporal dynamics, limiting their ability to classify complex actions. …”
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A hybrid deep learning framework for early detection of diabetic retinopathy using retinal fundus images by Mishmala Sushith, A. Sathiya, V. Kalaipoonguzhali, V. Sathya

“…This research work not only advances the field of automated DR detection but also provides a framework for utilizing temporal information in medical image analysis.…”
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Low Spatio-Temporal Frequency Wavefront Aberration Correction Method Based on a Movable Secondary Mirror by Yawei Xiao, Simin Zhao, Junbo Zhang, Linhai Huang, Naiting Gu

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Temporal Profiling of Extracellular Polymeric Substances Associated with Biofilm Formation in Bacteria Isolated from Wound Infection by Prabhavati Shinde, Shraddha Jaiswal, Vidya Tale

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Echo-ODE: A dynamics modeling network with neural ODE for temporally consistent segmentation of video echocardiograms by Wenliang Lu, Yuan Wang , Wenli Dai , Yingnan Wu , Hao Xu, Hao Xu, Dexing Kong

“…Beyond accuracy, a major challenge of video echocardiogram analysis is the temporal consistency of consecutive frames. …”
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Spatio-temporal modelling and prediction of malaria incidence in Mozambique using climatic indicators from 2001 to 2018 by Chaibo Jose Armando, Joacim Rocklöv, Mohsin Sidat, Yesim Tozan, Alberto Francisco Mavume, Maquins Odhiambo Sewe

“…Predictive distributions from monthly cross-validations were employed to calculate threshold exceedance probabilities, with district-specific thresholds set at the 75th percentile of historical monthly malaria incidence. The model’s ability to predict high and low malaria seasons was evaluated using receiver operating characteristic (ROC) analysis. …”
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Design of an Iterative Method for Time Series Forecasting Using Temporal Attention and Hybrid Deep Learning Architectures by Yuvaraja Boddu, A. Manimaran

“…Initially, it employs Temporal Attention Mechanisms to dynamically allocate attention across different timestamps and variables, significantly enhancing the model&#x2019;s ability to capture critical temporal dependencies. …”
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A Speed-Invariant Template-Based Approach for Estimating Running Temporal Parameters Using Inertial Sensors by Rachele Rossanigo, Marco Caruso, Elena Dipalma, Cristine Agresta, Lucia Ventura, Franca Deriu, Andrea Manca, Taian M. Vieira, Valentina Camomilla, Andrea Cereatti

“…The benefit of magneto-inertial sensors is their ability to capture data in outdoor conditions. However, state-of-the-art inertial-based methods for estimating running temporal parameters are limited to a restricted range of running speeds and, thus, not able to analyze running at variable speeds. …”
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Spatial and temporal distribution patterns and factors influencing hepatitis B in China: a geo-epidemiological study by Kang Fang, Na Cheng, Chuang Nie, Wentao Song, Yunkang Zhao, Jie Pan, Qi Yin, Jiwei Zheng, Qinglin Chen, Tianxin Xiang

“…Spatial autocorrelation analysis and spatiotemporal scanning were used to analyze the spatiotemporal distribution characteristics. …”
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Spatio-Temporal Evolution of Net Ecosystem Productivity and Its Influencing Factors in Northwest China, 1982–2022 by Weijie Zhang, Zhichao Xu, Haobo Yuan, Yingying Wang, Kai Feng, Yanbin Li, Fei Wang, Zezhong Zhang

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Extracting fluorescent reporter time courses of cell lineages from high-throughput microscopy at low temporal resolution. by Mike J Downey, Danuta M Jeziorska, Sascha Ott, T Katherine Tamai, Georgy Koentges, Keith W Vance, Till Bretschneider

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The Correlations between Volume Loss of Temporal and Subcortical Functional Subregions and Cognitive Impairment at Various Stages of Cognitive Decline by Fang Lu, Cailing Shi, Dingcai Rao, Wenjun Yue

“…Results: Only the left premotor thalamus demonstrated significant shrinkage in individuals with EMCI (p = 0.012). Discriminant analysis revealed that the left rostral Brodmann area 20 has the highest discriminatory ability among all temporal subregions to distinguish patients with AD from CN. …”
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DVF-NET: Bi-Temporal Remote Sensing Image Registration Network Based on Displacement Vector Field Fusion by Mingliang Xue, Yiming Zhang, Shucai Jia, Chong Cao, Lin Feng, Wanquan Liu

“…Accurate image registration is essential for various remote sensing applications, particularly in multi-temporal image analysis. This paper introduces DVF-NET, a novel deep learning-based framework for dual-temporal remote sensing image registration. …”
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