RIS-assisted anti-spatial aliasing direct localization in NLOS scenarios via spatio-temporal-frequency information fusion by Jingjing Li, Jianhui Wang, Lihao Liu, Weijia Cui, Chunxiao Jian

“…The STFIF framework integrates three key components: (1) sparse signal reconstruction via semi-definite programming for spatial domain parameter estimation, (2)frequency difference processing to suppress spatial aliasing and artifact targets, and (3) temporal-domain information exploitation through RIS’s time-varying configurations. …”
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Spatial expression of glucagon-like peptide 1 receptor and caveolin-1 in hepatocytes with macrovesicular steatosis in non-alcoholic steatohepatitis by Hiroaki Yokomori, Wataru Ando

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Reconfigurable MISO-VLC via Joint Light Source Identification and Localization Using a Receiver With Spatial LCD Filter by Andrej Harlakin, Jan Mietzner, Peter A. Hoeher

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Event-Driven Maximum Correntropy Filter Based on Cauchy Kernel for Spatial Orientation Using Gyros/Star Sensor Integration by Kai Cui, Zhaohui Liu, Junfeng Han, Yuke Ma, Peng Liu, Bingbing Gao

“…Gyros/star sensor integration provides a potential method to obtain high-accuracy spatial orientation for turntable structures. However, it is subjected to the problem of accuracy loss when the measurement noises become non-Gaussian due to the complex spatial environment. …”
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Real‐Time Observation of Oxygen Diffusion in CGO Thin Films Using Spatially Resolved Isotope Exchange Raman Spectroscopy by Alexander Stangl, Nicolas Nuns, Caroline Pirovano, Kosova Kreka, Francesco Chiabrera, Albert Tarancón, Mónica Burriel

“…The isotope exchange and diffusion processes are followed via consecutive spatial and time‐resolved in situ Raman line scans. …”
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Spatial and temporal distribution of Culicoides species in the New England region of New South Wales, Australia between 1990 and 2018. by Biniam T Lakew, Adrian H Nicholas, Stephen W Walkden-Brown

“…Culicoides are one of the smallest hematophagous flies measuring 1-5 mm in size with only females seeking blood for egg development. The present study investigated spatio-temporal distribution of Culicoides species trapped between 1990 and 2018 at 13 sites in the New England region of NSW, Australia using automated light traps. …”
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Spatial Distribution and Temporal Trends in the Daily Precipitation Concentration across the Yarlung Tsangpo River Basin: Eastern Himalaya of China by Mengtao Zhu, Meng Li, Chunyu Liu, Yinfei Wang, Jiqiu Li, Yungang Li

“…At a seasonal scale, the dry season had a less homogeneous spatial distribution of CI compared to that of the wet season. …”
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Classification Model of Clock Drawing Test Based on Contrastive Learning Using Multi-Channel Features With Channel-Spatial Attention by Changsu Kang, Bohyun Wang, J. S. Lim

“…Therefore, in this study, we developed a model that utilizes features obtained from multiple channels to focus on all the elements within an image using channel and spatial attention. We utilized supervised contrastive learning to classify patient and control groups solely from CDT images. …”
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Examination of the spatial-temporal variations in terrestrial water reserves and green efficiency of water resources in China's three northeastern provinces. by Yanying Wang, Xianzhi Wang, Longxue Zhao

“…By utilizing the sophisticated Super-SBM model, the study delves into the spatial and temporal variations in terrestrial water reserves and green water usage efficiency. …”
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Pathogenic built environment? Reflections on modeling spatial determinants of health in urban settings considering the example of COVID-19 studies by Tobia Lakes, Tobia Lakes, Tillman Schmitz, Henning Füller

“…However, operationalizing the complexity of associations between the built environment and health for empirical analyses presents significant challenges. This study aims to identify key caveats in the operationalization of spatial determinants of health for empirical analysis and proposes guiding principles for future research. …”
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Spatial Modeling of Airborne Particles (PM2.5 and PM10) in Tehran city Using Convolutional Neural Network. by Abed Bashar Doost, Mohammad Saadi Mesgari

“…The proposed method provides the possibility of spatial modeling and preparation of risk maps of two important air pollutants, namely particulate matter 2.5 (PM2.5) and particulate matter 10 (PM10). …”
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Insights From Megacryst‐Included Zircon Dates on the Spatial Extent of Magma Mixing in the Tuolumne Intrusive Suite, California, USA by Elena Watts, Julia Ye, Sean P. Gaynor, Valbone Memeti, Blair Schoene

“…Abstract The spatial extent of mixing between separately emplaced batches of magma is a key component in understanding the incremental assembly of plutons. …”
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Climate change will cause the spatial mismatch between sexually deceptive beetle daisy (Gorteria diffusa, Asteraceae) and its pollinator by Marta Kolanowska

“…Given the decline in pollinator availability due to the spatial mismatch between G. diffusa and the bee fly, the survival of north-western and south-eastern populations may be threatened as the insect will not be present in the areas suitable for beetle daisy occurrence. …”
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Comparative and critical analysis of data sources used for ship traffic spatial pattern analysis in Canada and across the global Arctic by Adrian Nicoll, Jackie Dawson, Jérôme Marty, Michael Sawada, Luke Copland

“…Covering the years 2011 to 2022, the analysis assesses spatial and temporal metrics for each dataset while employing robust data cleaning techniques to address signal manipulation and detection gaps. …”
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Long - Term Assessment of the Spatial Temporal Trends in selected Cloud Radiative Properties over the Three Distinct sites in Kenya by Sostine N. Makokha, John W. Makokha, JWM, Festus B. Kelonye

“…Increased anthropogenic activities and emissions can significantly lead to changes in cloud composition and cloud structure affecting the cloud properties causing alterations in climatic conditions over Kenya. Given this, the present study examined the spatial temporal radiative properties of clouds over Nairobi, Malindi and Mbita by paying a special consideration on cloud parameters such as; Cloud Effective Radius (CER), Cloud Optical Thickness (COT), Water Vapor (WV), Precipitation Rate (PR) and Cloud Albedo (CA). …”
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Construction of a Cold Island Spatial Pattern from the Perspective of Landscape Connectivity to Alleviate the Urban Heat Island Effect by Qianli Ouyang, Bohong Zheng, Junyou Liu, Xi Luo, Shengyan Wu, Zhaoqian Sun

“…This study presents an innovative approach to mitigating the urban heat island (UHI) effect by constructing a cold island spatial pattern (CSP) from the perspective of landscape connectivity, integrating three-dimensional (3D) urban morphology and meteorological factors for the first time. …”
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Exotic plants and other habitat characteristics do not impact Veery reproductive success at multiple spatial scales in northeastern Pennsylvania by Christopher B Goguen, Les D Murray

“…Nest success was also positively related to the age of a nest and decreased when a nest camera was present. However, survival of individual nests showed little relationship with vegetative/habitat variables at three spatial scales. …”
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Spatial Variation in Coral Diversity and Reef Complexity in the Galápagos: Insights from Underwater Photogrammetry and New Data Extraction Methods by Matan Yuval, Franklin Terán, Wilson Iñiguez, William Bensted-Smith, Inti Keith

“…Corals in the Galápagos present diverse reef configurations from biogenic coral reefs to coral communities growing on rocks and sand. …”
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Detecting Serbia’s Settlement Patterns: A Fuzzy Logic-Based Approach to Rural–Urban Area Delimitation for Spatial Planning by Aleksandra Gajić Protić, Nikola Krunić, Branko Protić

“…This method offers a framework that could be used in urban and spatial research and planning and defining rural/urban development strategies and policies. …”
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Spatial analysis of hypertension’s awareness, treatment and control in India: evidence from national family health survey 2019-21 by Priti, Rahul Kumar, Kunal Keshri, Ankit Gupta

“…The binary Logistic regression statistical method is employed to analyze the data, and the geospatial method—spatial autocorrelation has been used to explore the spatial relationship between variables of hypertension and spatial units. …”
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