Fine-grained entity disambiguation through numeric pattern awareness in transformer models by Jaeeun Jang, Sangmin Kim, Howon Moon, Sang Heon Shin, Mira Yun, Charles Wiseman

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Field Scale Studies on the Spatial Variability of Soil Quality Indicators in Washington State, USA by Jeffrey L. Smith, Jonathan J. Halvorson

“…The biological parameters showed little correlation with each other when all data points were considered; however, when grouped in smaller sections, the correlations were more consistent with observed patterns across the field. To accurately assess soil quality, and arable land use, consideration of spatial and temporal variability, soil conditions, and other controlling factors must be taken into account.…”
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Investigating the Impact of Climate Change on the Effective Indicators in Desertification and Predicting its Spatial Changes by Azam Sadat Hosseini Khezr Abad, Abassali Vali, Amirhossein Halabian, Mohammad Hossein Mokhtari, Seyyed Ali Mousavi

“…Excessive dryness of arid regions has increased the intensity and spread of desertification. Investigating spatial and temporal patterns of desertification caused by climate change in the northwest of Yazd province using the Iranian model of desertification potential assessment (IMDPA) is one of the main objectives of this research. …”
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Diffusion Pattern and Hotspot Detection of Dengue in Belo Horizonte, Minas Gerais, Brazil by José Eduardo Marques Pessanha Pessanha, Waleska Teixeira Caiaffa, Maria Cristina de Mattos Almeida, Silvana Tecles Brandão, Fernando Augusto Proietti

“…Outbreaks had different durations and intensities: case clustering, thinned out both spatially and temporally. These findings may be useful for public health professionals responsible for fighting the disease providing some tools for improving evaluation of interventions such as vector control and patient care, minimizing the collective and individual burden of the disease.…”
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Multimodal EEG-fNIRS Seizure Pattern Decoding Using Vision Transformer by Rafat Damseh, Abdelhadi Hireche, Parikshat Sirpal, Abdelkader Nasreddine Belkacem

“…We used spectral encoding techniques to capture temporal and spatial relationships for brain signals as feature map inputs to the transformer architecture. …”
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The Impact of Seasonal Changes and Living Activities on Dwelling Patterns and the Form of Rural Houses

“…According to the study, in the development of rural housing, activities patterns are tied with the temporal events suited to rural needs. …”
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Spatio-temporal evolution and coupling relationship between biodiversity and urbanization in the areas along the Yellow River of Shandong province by Yingjun Sun, Wenxue Meng, Fang Wang, Haifeng Han, Mingxin Sui, Zhen Jian

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Spatio-temporal variation of dung beetle (Coleoptera: Scarabaeidae) assemblages in a community ecological reserve of southeastern Mexico by Diana A. Ahuatzin, Wesley Dáttilo, Fernando Escobar-Hernández, Albina Demeza, Lucrecia Arellano

“…When evaluating the spatial turnover, we found that the most important component of β diversity was β2 (between environments), which suggests that the environmental variation provided by the great spatial heterogeneity of the environments modulates the diversity patterns of beetles in this reserve. …”
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Research on Multi-Step Prediction of Pipeline Corrosion Rate Based on Adaptive MTGNN Spatio-Temporal Correlation Analysis by Mingyang Sun, Shiwei Qin

“…Then, a dynamic adjacency matrix is adaptively learned to capture hidden spatial dependencies, while temporal convolution modules extract multi-scale temporal patterns, and the node sequences with integrated corrosion features are input into the adaptive MTGNN for prediction. …”
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Noise Pollution Prediction in a Densely Populated City Using a Spatio-Temporal Deep Learning Approach by Marc Semper, Manuel Curado, Jose Luis Oliver, Jose F. Vicent

“…Each technique contributes specific strengths to the modeling of spatiotemporal series: CNNs are effective at capturing local spatial patterns, while LSTM networks excel at modeling long-term temporal dependencies. …”
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Spatiotemporal patterns and environmental determinants of wildlife-vehicle collisions in Banke National Park, Nepal by Narayan Prasad Koju, K. C. Anish, Keshav Dodhari, Pratikshya Giri, Miriam Lee, Sudip Pokhrel, Asmina Ghimire, Lila Nyaichyai, Kenneth Otieno Onditi, Xuelong Jiang, Randall C. Kyes

“…Abstract Wildlife vehicle collisions (WVCs) represent a significant threat globally to biodiversity conservation, driver safety and economic resources. This study evaluated the magnitude, spatial-temporal patterns, and influencing factors associated with WVCs within Banke National Park (BaNP), Nepal, to inform effective mitigation planning and biodiversity conservation strategies. …”
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A Comprehensive Analysis of the Changes in Precipitation Patterns over Beijing during 1960–2012 by Xiaomeng Song, Jianyun Zhang, Chunhua Zhang, Xianju Zou

“…Subsequently, the precipitation time series at 30 stations over Beijing were used to evaluate the changes in precipitation pattern. The results showed that the annual series for the most rain gauges had decreasing trends with gradual changes. …”
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Spatial Modeling of Yellowfin Tuna in the Banda Sea Based on Oceanographic Factors Using MaxEnt by Sunarwan Asuhadi, Mukti Zainuddin, Safruddin Safruddin, Musbir Musbir

“…This study models the spatial distribution of yellowfin tuna (YFT) in the Banda Sea using the MaxEnt approach, addressing critical questions about its predictive capability, the influence of environmental variables such as sea surface temperature (SST) and chlorophyll-a concentration, and temporal patterns. …”
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Identifying monthly rainfall erosivity patterns using hourly rainfall data across India by Subhankar Das, Manoj Kumar Jain, Karl Auerswald, Carlos Rogerio de Mello, Peter Molnar

“…Abstract Rainfall erosivity is a key dynamic factor of water erosion estimation, with a significant spatial and temporal variation. This study presents a comprehensive analysis of the spatial patterns and monthly distribution of rainfall erosivity across India, using data from 261 hourly and 2,525 monthly rainfall stations covering the period from 1969 to 2021. …”
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Spatio-Temporal Heterogeneity of Ecological Quality in a Typical Dryland of Northern China Driven by Climate Change and Human Activities by Shuai Li, Junliang Gao, Pu Guo, Ge Zhang, Yu Ren, Qi Lu, Qinwen Bai, Jiahua Lu

“…This study compares the efficacy of RSEIs in evaluating dryland ecological quality, identifies spatio-temporal change patterns, and elucidates driving mechanisms, offering scientific evidence and policy recommendations for targeted conservation and restoration measures to address future changes in dryland regions.…”
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Automated violence monitoring system for real-time fistfight detection using deep learning-based temporal action localization by Baolong Qi, Baoyuan Wu, Bailing Sun

“…However, essential individual features can be extracted by examining human skeletal movements’ progression and temporal patterns. This paper presents a novel multimodal spatio-temporal fistfight detection model (MSTFDet) that integrates RGB images and human skeletal data to identify violent behaviors accurately. …”
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Blocked quadrat variance analysis for spatial relation of Ectropis oblique hypulina larva and spider natural enemies by Liu Feifei, Ke Shengbing, Wang Jianpan, Bi Shoudong, Zou Yunding, Zhou Xiazhi, Dang Fenghua, Xu Jinfeng, Yu Kun, Zhao Xuejuan

“…The relationships between insect pests and their natural enemies include the quantitative relations of their occurrence, the temporal relationships of their occurrence as well as their spatial distribution patterns. …”
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Spatiotemporal patterns of annual clear-cutting distribution in tropical and subtropical regions of China with time series Landsat and CCDC by Mingxing Zhou, Guiying Li, Dengsheng Lu, Cong Xu, Zhipeng Li, Dengqiu Li

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Uncovering water conservation patterns in semi-arid regions through hydrological simulation and deep learning. by Rui Zhang, Qichao Zhao, Mingyue Liu, Shuxuan Miao, Da Xin

“…Spatiotemporal analysis identifies temporal changes, spatial patterns of WCR and land use, and key protection areas, revealing that the WCR in Xiong'an New Area primarily shifts from the lowest WCR areas to lower WCR areas. …”
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Spatio-Temporal Characteristics and Driving Forces of Landscape Ecological Risks in Highly Urbanized Areas: A Case Study of Suzhou City by Lingyue LU, Dawei SHAO, Dianming WU

“…The formation mechanism, spatio-temporal heterogeneous driving effect and scale response law of LER in highly urbanized areas still need to be systematically explored.MethodsUtilizing multi-source data spanning the period from 1995 to 2020, including Landsat TM/ETM imagery, digital elevation model (DEM) and NASA datasets, this research focuses on exploring the characteristics of spatio-temporal variability of LER and corresponding drivers in Suzhou at the optimal scale, utilizing the LER evaluation model and the geographically and temporally weighted regression (GTWR) framework.Results1) The landscape pattern of Suzhou City is scale-dependent, with significant variations in the landscape pattern index for each land type at the optimal scale. …”
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