The Architecture of Logistics by Negar Sanaan Bensi, Francesco Marullo

“…Gathering academic papers and visual essays from researchers and emerging scholars in the field, the issue follows three main directions of inquiry. The first trajectory attempts to define what logistics is and how it operates, focusing on the inherent ambivalence of its apparatus, able to cope with different scales and various temporal dimensions – from barcodes and gadgets to global routes and territorial infrastructures – constituting both a physical and abstract framework supporting, measuring and quantifying movements and actions, thoughts and desires. …”
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Dirac equation solution in the light front via linear algebra and its particularities by Jorge Henrique de Oliveira Sales, Gabriel de Oliveira Aragão, Diego Ramos do Nascimento, Ronaldo Thibes

“… In undergraduate and postgraduate courses, it is customary to present the Dirac equation defined in a space of four dimensions: three spatial and one temporal. This article discusses aspects of the Dirac equation (QED) on the light front. …”
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Urban Lead: Modeling Its Distribution and Effects on Children by Zhixiong Chen, Yi Ding, Andrew Getz, Bernard Lipat

“…The model is constructed using the diffusion-advection partial differential equation in three spatial dimensions and one temporal dimension with an initial condition and boundary conditions. …”
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Spatial Patterns of Taxonomic, Functional, and Phylogenetic Diversity of Mammals in Southern Mexico by Cintia Natalia Martín‐Regalado, Mario C. Lavariega, Miguel Briones‐Salas

“…However, spatial incongruence among these different dimensions of diversity has been found to be common at global and regional levels, posing challenges for conservation. …”
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Disentangling Tinnitus Distress and Tinnitus Presence by Means of EEG Power Analysis by Martin Meyer, Matthias S. Luethi, Patrick Neff, Nicolas Langer, Stefan Büchi

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Mental Workload Analysis Using the NASA-TLX Method in the Engineering Department of PT ABC by Daniel Pardameian Simare Mare, Naufal Affandi, Umalihayati Umalihayati

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Multi-dimensional perceptual recognition of tourist destination using deep learning model and geographic information system. by Shengtian Zhang, Yong Li, Xiaoxia Song, Chenghao Yang, Niusha Shafiabady, Robert M X Wu

“…Then, we adopted the improved Inception V3 model, the bidirectional long short-term memory network (BiLSTM) model with multi-head attention, and geographic information system (GIS) technology to recognize basic tourist feature information from the UGC dataset, such as the content, sentiment, and spatiotemporal perceptual dimensions of the data, achieving a recognition accuracy of over 97%. …”
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Impacts of free-roaming dogs on spatiotemporal niches of native carnivores in Taiwan by Hsin-Cheng Ho, Tzung-Su Ding, Hsiao-Wei Yuan, Jo-Szu Tsai, Guo-Jing Weng, Yu-Hsiu Lin, Hsiang Ling Chen, Yu-Bo Huang, Shih-Ching Yen

“…We predict that threats from free-roaming dogs result in (1) the activity levels of native carnivores being correlated negatively with those of dogs, (2) native carnivores undergoing spatial or temporal avoidance in response to the presence of dogs, and (3) increased spatial or temporal niche overlap among native carnivores. …”
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Time perception: A study of young Brazilian workers by Kely César Martins de Paiva, Cinthia Mara Oliveira e Souza

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DepITCM: an audio-visual method for detecting depression by Lishan Zhang, Lishan Zhang, Zhenhua Liu, Yumei Wan, Yunli Fan, Diancai Chen, Qingxiang Wang, Kaihong Zhang, Yunshao Zheng

“…However, there are still some limitations in the currently proposed deep models based on audio-video data, for example, it is difficult to effectively extract and select useful multimodal information and features from audio-video data, and very few studies have been able to focus on three dimensions of information: time, channel, and space at the same time in depression detection. …”
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STFCropNet: A Spatiotemporal Fusion Network for Crop Classification in Multiresolution Remote Sensing Images by Wei Wu, Yapeng Liu, Kun Li, Haiping Yang, Liao Yang, Zuohui Chen

“…A range of remote sensing images, encompassing spatial, spectral, and temporal dimensions, has facilitated the classification of crops. …”
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Urban Surface Water Mapping from VHR Images Based on Superpixel Segmentation and Target Detection by Qingwei Liu, Yugang Tian, Lihao Zhang, Bo Chen

“…In this article, we proposed an urban surface water mapping method called sparse superpixel-based water extraction (SSWE) from VHR images. The method includes three steps: clustering water bodies into sparse targets at the object level by an improved scale-adaptive simple non-iterative clustering (SA-SNIC) superpixel segmentation; generating new bands with additional spectral, spatial, and derived features, to increase the dimensions of original data and enhance the separability between water bodies and background covers; and constructing a positive-negative constrained energy minimization multitarget sparse detector to highlight the water bodies while suppressing shadows. …”
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Assessing Urban Landscape Variables’ Contributions to Microclimates by Tammy E. Parece, Jie Li, James B. Campbell, David Carroll

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Understanding Sofia’s travel dynamics: Study of private traffic patterns and urban mobility by Lidia Lazarova Vitanova, Evgeny Shirinyan, Tereza Trendafilova, Dessislava Petrova-Antonova

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Multimodal Autism Spectrum Disorder Method Using GCN With Dual Transformers by Tianming Song, Zhe Ren, Jian Zhang, Yawei Qu, Yingying Cui, Zhengda Liang

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Application of Nonlinear Time-Fractional Partial Differential Equations to Image Processing via Hybrid Laplace Transform Method by B. A. Jacobs, C. Harley

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Transformasi Kota Cerdas dalam Mitigasi Banjir: Pemodelan Curah Hujan DKI Jakarta dengan Pendekatan Spatial Vector Autoregressive (SpVAR) dan Pemetaan Bobot Queen Contiguity by Rinda Lolita Melanwati, Eni Sumarminingsih, Henny Pramoedyo

“…However, time series data often have spatial dimensions. Therefore, a Spatial Vector Autoregressive (SpVAR) model has been developed considering both spatial and temporal dimensions. …”
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Quantifying the Performance of European Agriculture Through the New European Sustainability Model by Puiu-Lucian Georgescu, Nicoleta Barbuta-Misu, Monica Laura Zlati, Costinela Fortea, Valentin Marian Antohi

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Postexercise Recovery of Schlemm’s Canal and Intraocular Pressure in Healthy Individuals: An Observational Study Using Swept-Source Optical Coherence Tomography by Mu Li, Xiaoqin Yan, Zhaoxia Luo, Hong Zhang

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Deep-TEMNet: A Hybrid U-Net–2D LSTM Network for Efficient and Accurate 2.5D Transient Electromagnetic Forward Modeling by Zhijie Qu, Yuan Gao, Kang Xing, Xiaojuan Zhang

“…Deep-TEMNet integrates the U-Net architecture with a tailored two-dimensional long short-term memory (2D LSTM) module, allowing it to effectively capture complex spatial-temporal relationships in TEM data. The U-Net component enables high-resolution spatial feature extraction, while the 2D LSTM module enhances temporal modeling by processing spatial sequences in two dimensions, thereby optimizing the representation of electromagnetic field dynamics over time. …”
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