Integration of retinal and extraretinal information across eye movements. by Florian Ostendorf, Raymond J Dolan

“…For successful integration into a coherent representation, the visuomotor system needs to deal with these self-induced perceptual changes and distinguish them from external motion. Forward models are one way to solve this problem where the brain uses internal monitoring signals associated with oculomotor commands to predict the visual consequences of corresponding eye movements during active exploration. …”
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A novel anomaly detection method for multimodal WSN data flow via a dynamic graph neural network by Qinghao Zhang, Miao Ye, Xiaofang Deng

“…First, the temporal features and modal correlation features extracted from each sensor node are fused into one vector representation, then it is further aggregated with the spatial features represented the spatial position relationship of the nodes; finally,the current time-series data of WSN nodes are predicted, and abnormal states are identified according to the fusion features. …”
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Inonotus obliquus (chaga) ameliorates folic acid-induced renal fibrosis in mice: the crosstalk analysis among PT cells, macrophages and T cells based on single-cell sequencing by Yueling Peng, Yaling Zhang, Yaling Zhang, Rui Wang, Xinyu Wang, Xingwei Liu, Hui Liao, Rongshan Li

“…We used single-cell RNA sequencing to study cellular responses in a mouse model of folic acid-induced renal fibrosis, complemented by spatial transcriptomics to map cellular location patterns. …”
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Enhancing monitoring of rewilding progress through wildlife tracking and remote sensing. by Julia Carolina Mata, Robert Buitenwerf, Jens-Christian Svenning

“…The majority of areas (76%) predicted to be occupied by reintroduced fauna were only predicted to be selected by one species. …”
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Spatiotemporal estimation of ambient forest phytoncides: Unveiling patterns through geospatial-based machine learning approach by Aji Kusumaning Asri, Hao-Ting Chang, Chia-Pin Yu, Wan-Yu Liu, Yinq-Rong Chern, Rui-Hao Xie, Shih-Chun Candice Lung, Kai Hsien Chi, Yu-Cheng Chen, Sen-Sung Cheng, Gary Adamkiewicz, John D. Spengler, Chih-Da Wu

“…The robustness of these models was confirmed through extensive validation. …”
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Preliminary results of the EPIDIA4Kids study on brain function in children: multidimensional ADHD-related symptomatology screening using multimodality biometry by Yanice Guigou, Alexandre Hennequin, Théo Marchand, Théo Marchand, Mouna Chebli, Lucie Isoline Pisella, Pascal Staccini, Pascal Staccini, Vanessa Douet Vannucci, Vanessa Douet Vannucci

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Contrasting the impact and cost-effectiveness of successive intervention strategies in response to Ebola in the Democratic Republic of the Congo, 2018–2020 by Wu Zeng, Thomas Wilkinson, Mathias Mossoko, Michel Yao, Steve Ahuka-Mundeke, Thibaut Jombart, Hadia Samaha, Dominique Baabo, Jean-Pierre Lokonga, Sylvain Yuma, Anne Cori, Fatima El Kadiri El Yamini, Patrick Hoang-Vu Eozenou, Linda Mobula

“…The spatial spread was moderate with an average 4.4% (95% CrI = (3.5%; 5.4%)) of transmissions moving to different health zones. …”
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Epidemic characteristics of measles and efforts to control measles infections in Zhejiang Province, China by Rui Yan, Mengya Yang, Hanqing He, Yan Feng, Yang Zhou, Xuewen Tang, Xuan Deng, Yao Zhu, Yuxia Du, Can Chen, Cao Kexin, Shigui Yang

“…We utilized a joinpoint regression model to examine trends in measles. Additionally, we employed SaTScan version 9.5 to identify spatial-temporal clusters. …”
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Reinforcement Learning With Deep Features: A Dynamic Approach for Intrusion Detection in IoT Networks by Mohamad Khayat, Ezedin Barka, Mohamed Adel Serhani, Farag Sallabi, Khaled Shuaib, Heba M. Khater

“…Statistical measures, including mean, variance, and entropy, were calculated from these features to determine temporal and spatial variations in the network data. Moreover, deep learning models, including long short-term memory networks and convolutional neural networks (CNNs), were used to automatically extract high-level features from raw data such as network logs or sensor readings. …”
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Transformations in exposure to debris flows in post-earthquake Sichuan, China by I. Utley, T. Hales, E. Hussain, X. Fan

“…Using high-resolution satellite images, we developed a multitemporal building inventory from 2005 to 2019, comparing it to the spatial distribution of previous debris flows and future modelled events. …”
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A longan-picking sequence planning method for UAV system based on multi-target tracking by Kaixuan Wu, Meiqi Zhang, Linlin Shi, Hengxu Chen, Yuju Mai, Mingda Luo, Hengyi Lin, Jun Li

“…Aiming at the scattered distribution of longan string fruit, a spatial-characteristic-based partitioning strategy is designed, complemented by the Corner-Kmeans clustering algorithm, which enhances clustering stability and partitioning accuracy. …”
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Spatiotemporal Characteristic of XCO₂ and Its Changing Contribution Rate from Different Influencing Indicators in Mongolian Plateau of Central Asia by Yunga A, Zhengyi Bao, Siqin Tong, Yuhai Bao, Sainbayar Dalantai, Boldbaatar Natsagdorj, Xinle Fan

“…To solve this scientific issue, the synergistic methodology of mathematical statistics—the Pearson correlation and random forest model—was established using the main source of Orbiting Carbon Observatory 2 (OCO-2) satellite data. …”
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Lightweight Detection and Counting of Maize Tassels in UAV RGB Images by Hang Yang, Jiaji Wu, Yi Lu, Yuning Huang, Pinwei Yang, Yurong Qian

“…Experimental results show that on the MTDC-VS dataset, DLMNet achieves a detection accuracy <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>A</mi><mi>P</mi><mn>50</mn></mrow></semantics></math></inline-formula> of 88.4%, which is 1.6% higher than the baseline YOLOv8 model, with a 31.3% reduction in the number of parameters. …”
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Sex differences in prevalence and risk factors of hypertension in India: Evidence from the National Family Health Survey-4. by Krishna Kumar, Sheuli Misra

“…Bivariate distribution was used to show the prevalence of hypertension and, maps were used to present its spatial patterns. Logistic regression model was used to identify sex-specific association between risk factors and hypertension. …”
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1992-2015 Changes and Causes of Carbon Sink in Shenzhen City by Wu Siyu

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A lightweight context-aware framework for toxic mushroom detection in complex ecological environments by Zhanchen Wei, Jiali Wang, Haohai You, Ruiqing Ji, Fude Wang, Lei Shi, Helong Yu

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Social networks and business investment in emerging urban centres in rural Tanzania by Stephen A. Nyaki, Marianne N. Larsen, Fredy T. Kilima, Yonas T. Bahta

“…Methods: Quantitative methods employing Gephi Geolayout and a bivariate probit model, supported by qualitative data, were used to examine spatiality and the influence of social networks on business investment decisions based on a random sample of 755 businesses. …”
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Punching shear capacity of RC flat slabs with steel and superelastic Ni-Ti shape memory shear reinforcement under repeated loads by Mohamed Selim, Khaled Fawzy, Hilal Abdel Kader Mahmoud, Khaled Fawzy Kotb, Mahmoud Zaghlal

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Breast Cancer MRI Classification Based on Fractional Entropy Image Enhancement and Deep Feature Extraction by Ali M. Hasan, Asaad F. Qasim, Hamid A. Jalab, Rabha W. Ibrahim

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China’s cultivated land threshold from the perspective of food security by ZHAO Xiaoyu, SUN Chunqiang, CUI Rongguo, CHEN Jing, ZHANG Xiaoyu, CAO Tingyu, LI Chao

“…Furthermore, the minimum demand of China’s cultivated land in 2035 and 2050 was predicted based on the grain yield per unit cultivated area and population change. …”
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