Model Development for Estimating Sub-Daily Urban Air Temperature Patterns in China Using Land Surface Temperature and Auxiliary Data from 2013 to 2023 by Yuchen Guo, János Unger, Tamás Gál

“…Finally, two samples of Tair patterns in Beijing and the Pearl River Delta region were effectively estimated. …”
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The role of feedback in the formation of morphogen territories by David Iron, Adeela Syed, Heidi Theisen, Tamas Lukacsovich, Mehrangiz Naghibi, Lawrence J. Marsh, Frederic Y. M. Wan, Qing Nie

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Contactless Detection of Abnormal Breathing Using Orthogonal Frequency Division Multiplexing Signals and Deep Learning in Multi-Person Scenarios by Muneeb Ullah, Xiaodong Yang, Zhiya Zhang, Tong Wu, Nan Zhao, Lei Guan, Malik Muhammad Arslan, Akram Alomainy, Hafiza Maryum Ishfaq, Qammer H. Abbasi

“…<italic>Objective:</italic> Contactless detection and classification of abnormal respiratory patterns is challenging, especially in multi-person scenarios. …”
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Identification and Characterization of Fiber Optic Imaging Bundle Structures in Endoscopic Fringe Projection Systems by Jannis Drangmeister, Markus Kästner, Eduard Reithmeier

“…In order to transfer fringe patterns from a projector to the specimens’ surface, fiber optic imaging bundles (FOIB) can be employed. …”
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Geospatial patterns of progress towards UNAIDS ‘95-95-95’ targets and community vulnerability in Zambia: insights from population-based HIV impact assessments by Suilanji Sivile, Diego F Cuadros, Lloyd Mulenga, Sulani Nyimbili, Natalie Vlahakis, Theodora Savory, Tuhin Chowdhury, Masabho Milali, Daniel T Citron, Khozya Davie Zyambo, Anna Bershteyn

“…Factors associated with gaps in the ‘95s’ include younger age, male sex, and low wealth, with younger individuals having higher odds of not being on antiretroviral therapy and having detectable viral loads.Conclusions Our study revealed significant spatial heterogeneity in the HIV care continuum in Zambia, with different regions exhibiting unique geographical patterns and levels of performance in the ‘95-95-95’ targets, highlighting the need for geospatial tailored interventions to address the specific needs of different subnational regions. …”
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A new framework for mitigating urban heat island effect from the perspective of network by Jieling Luo, Ling Zhu, Hui Fu

“…Firstly, morphological spatial pattern analysis (MSPA) and landscape connectivity index used to identify cold and heat sources with high diffusion potential. …”
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Study on the Distribution Characteristics of Tribolium Castaneum in Wheat Grain Heap by ZHANG Ze-yu, ZHOU Guo-xin, CUI Miao, WANG Zhong-ming

“…By comprehensively analyzing the spatial and temporal distribution patterns of the insect population and the effects of temperature and humidity, the actual insect population density could be estimated based on the number of insects captured by the probe traps. …”
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Optimization of water-urban-agricultural-ecological land use pattern: A case study of Guanzhong Basin in the southern Loess Plateau of Shaanxi Province, China by Sai Wang, Bin Wu, Hai-xue Li, Min-min Zhao, Lei Yuan, Xi Wu, Tao Ma, Fu-cheng Li, Shuang-bao Han

“…Based on the Coupled Ground-Water and Surface-Water Flow Model (GSFLOW), this paper evaluates the response of water resources in the basin to changes in land use patterns, optimizes the land use pattern, improves the ecological and economic benefits, and the efficiency of various spatial development, providing a reference for ecological protection and high-quality development of the Yellow River Basin. …”
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STID-Net: Optimizing Intrusion Detection in IoT with Gradient Descent by James Deva Koresh Hezekiah, Usha Nandini Duraisamy, Kalaichelvi Nallusamy, Avudaiammal Ramalingam, Saranya Chandran, Murugesan Rajeswari Thiyagupriyadharsan, Periasamy Selvaraju, Rajagopal Maheswar

“…Existing methods often struggle in capturing complex and irregular patterns from dynamic intrusion data, making them not suitable for different IoT applications. …”
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Structural sediment connectivity dynamics in a representative watershed of the southern China’s red soil region: Response to land use/cover changes by He Wang, Songyang Li, Juan Wu, Huiguang Li, Yue Zhang, Fangshi Jiang, Yanhe Huang, Jinshi Lin

“…These findings provide spatial guidance for optimizing landscape patterns and cropland management to mitigate sediment connectivity hotspots in red soil regions.…”
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Rainfall Erosivity Main Features and Their Associated Synoptic Conditions in North-Eastern Romania by Robert Hrițac, Lucian Sfîcă, Mădălina Mega, Pavel Ichim, Iuliana-Gabriela Breabăn, Lilian Niacșu

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Integral values of biomass and stock of zooplankton in the epipelagic layer of the area 71 in the North Pacific, including the Bering and Okhotsk Seas, and patterns of distribution... by Anatoly F. Volkov

“…Mean total zooplankton biomass and biomasses of size fractions of zooplankton, its taxonomic groups and mass species are calculated, by biostatistical areas. General patterns of the biomass distribution between the biostatistical areas are determined and presented as the charts of the biomass averaged by the areas. …”
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Spatial Inequality by Sergio Rey

“…The findings underscore the importance of integrating spatial considerations into inequality analysis to better understand the patterns and drivers of regional disparities, thereby informing more effective and equitable policy interventions. …”
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Analysis on spatiotemporal evolution and meteorological driving factors of future meteorological drought in Northwest China based on CMIP6 by Jianan Shan, Rui Zhu, Zhenliang Yin, Xiaoya Deng, Tingting Wang, Huaqing Yang, Wei Zhang

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LSGI: interpretable spatial gradient analysis for spatial transcriptomics data by Qingnan Liang, Luisa Solis Soto, Cara Haymaker, Ken Chen

“…We demonstrate LSGI in tumor ST datasets and identify pan-cancer and tumor-type specific pathways with gradated patterns, highlighting the ones related to spatial transcriptional intratumoral heterogeneity. …”
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Highly sensitive and real-simultaneous CH4/C2H2 dual-gas LITES sensor based on Lissajous pattern multi-pass cell by Haiyue Sun, Ying He, Shunda Qiao, Yahui Liu, Yufei Ma

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Quantitative attribution of spatio-temporal pattern of pm2.5 concentration based on geodetector and GWR model: Evidence from China's three major urban agglomerations. by Zeduo Zou, Xiuyan Zhao, Shuyuan Liu, Xiaodie Yuan, Chunshan Zhou

“…Based on remote sensing and statistics of urban agglomerations in China's Beijing-Tianjin-Hebei (BTH), Yangtze River Delta (YRD), and Pearl River Delta (PRD) from 2005 to 2020, the paper analyses the evolution characteristics of the pollution concentration pattern and identifies the influencing factors through spatial analysis method combining the geodetector and geographically weighted regression (GWR) model. …”
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Spatio-temporal patterns of carbon, nitrogen and phosphorus in the aboveground parts of plants in alpine grasslands on the Qinghai-Xizang Plateau: Insights from a multi-faceted ana... by Guangyu Zhang, Wei Sun, Shaowei Li, Zhiming Zhong, Gang Fu

“…Uncertainties in spatio-temporal patterns of nitrogen, phosphorus, especially carbon of the aboveground parts of plants limit our predictions of plant carbon sequestration capacity, nitrogen and phosphorus cycling. …”
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Environmental complaints in Aveiro, Portugal: actors, concerns, territorial pattern, and resolutions / Reclamações ambientais em Aveiro, Portugal: atores, preocupações, padrão terr... by Daniela Salgado Carvalho, Teresa Fidélis

“…The final section critically analyses these results with emphases on the temporalevolution of the submission of complaints, the actors involved, the local environmental problemsand their associated spatial pattern as well as the responses given by the City Council. …”
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An assessment of the long-term change of the Mersin west coastline using digital shoreline analysis system and detection of pattern similarity using fuzzy C-means clustering by Ozcan Zorlu, Lutfiye Kusak

“…The highest erosion rates were −3.53 m/year (EPR) and −2.8 m/year (LRR), whereas the most pronounced accretion rates were 15.91 m/year (EPR) and 15.47 m/year (LRR). To identify spatial patterns in shoreline change, the Fuzzy C-Means (FCM) clustering algorithm was applied using the NSM, SCE, EPR, and LRR metrics. …”
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