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  1. 8021

    Analysis of The State of The Tourism Industry in Russia аnd The Direction of Its Development by P. G. Nikolenko, A. M. Terekhov

    Published 2022-08-01
    “…The initial data for the study were Rosstat data in annual and spatial dimensions for the period 2011–2020.Results. …”
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    Article
  2. 8022

    INHBA+ macrophages and Pro-inflammatory CAFs are associated with distinctive immunosuppressive tumor microenvironment in submucous Fibrosis-Derived oral squamous cell carcinoma by Simin Zhao, Yu Zhang, Xiaoqin Meng, Ye Wang, Yahui Li, Hao Li, Xingyu Zhao, Pishan Yang, Shaopeng Liu, Chengzhe Yang

    Published 2025-05-01
    “…Here, we utilized single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) data from GEO database and multiple immunofluorescence staining (mIF) to reveal distinctive TISME of ODSCC. …”
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    Article
  3. 8023

    Improved estimation of forage nitrogen in alpine grassland by integrating Sentinel-2 and SIF data by Yongkang Zhang, Jinlong Gao, Dongmei Zhang, Tiangang Liang, Zhiwei Wang, Xuanfan Zhang, Zhanping Ma, Jinhuan Yang

    Published 2025-05-01
    “…Thus, integrating Sentinel-2 and SIF data presents a potential solution for precisely measuring spatial distribution of forage nitrogen in alpine grassland at the regional scale. …”
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    Article
  4. 8024

    Driplines Layout Designs Comparison of Moisture Distribution in Clayey Soils, Using Soil Analysis, Calibrated Time Domain Reflectometry Sensors, and Precision Agriculture Geostatis... by Agathos Filintas

    Published 2025-07-01
    “…The present study implements novel innovative geostatistical imaging using precision agriculture (PA) under sugarbeet field conditions. …”
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    Article
  5. 8025

    Análisis espacial de datos para clasificar Musáceas en zonas Bananeras no tradicionales del Ecuador by Patricia Gómez, Omar Ruíz Barzola, Hernán Garcés, Esther Lilia Peralta García

    Published 2011-05-01
    “…This analysis is done using geostatistical techniques, which means the adjustment of the semivariograms for the different theoretical models of variograms, help to obtain estimation maps (kriging technique) and to determine the spatial probability of finding Musa varieties with the characteristics described by INIBAP, making comparisons between different fields of study. …”
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    Article
  6. 8026

    An expert survey on chamber measurement techniques and data handling procedures for methane fluxes by K. Jentzsch, K. Jentzsch, L. van Delden, M. Fuchs, C. C. Treat, C. C. Treat

    Published 2025-06-01
    “…To estimate methane emissions on large spatial scales, methane flux data sets from field measurements collected and processed by many different researchers must be combined. …”
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    Article
  7. 8027

    Glyphosate exposure exacerbates neuroinflammation and Alzheimer’s disease-like pathology despite a 6-month recovery period in mice by Samantha K. Bartholomew, Wendy Winslow, Ritin Sharma, Khyatiben V. Pathak, Savannah Tallino, Jessica M. Judd, Hector Leon, Julie Turk, Patrick Pirrotte, Ramon Velazquez

    Published 2024-12-01
    “…We recently found that C57BL/6J mice dosed with glyphosate for 14 days showed glyphosate and its major metabolite aminomethylphosphonic acid present in brain tissue, with corresponding increases in pro-inflammatory cytokine tumor necrosis factor-⍺ (TNF-⍺) in the brain and peripheral blood plasma. …”
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    Article
  8. 8028

    Análisis espacial de datos para clasificar Musáceas en zonas Bananeras no tradicionales del Ecuador by Patricia Gómez, Omar Ruíz Barzola, Hernán Garcés, Esther Lilia Peralta García

    Published 2011-05-01
    “…This analysis is done using geostatistical techniques, which means the adjustment of the semivariograms for the different theoretical models of variograms, help to obtain estimation maps (kriging technique) and to determine the spatial probability of finding Musa varieties with the characteristics described by INIBAP, making comparisons between different fields of study. …”
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    Article
  9. 8029

    Synthesizing field plot and airborne remote sensing data to enhance national forest inventory mapping in the boreal forest of Interior Alaska by Pratima Khatri-Chhetri, Hans-Erik Andersen, Bruce Cook, Sean M. Hendryx, Liz van Wagtendonk, Van R. Kane

    Published 2025-06-01
    “…In this study, we present a framework for forest type classification combining field plots and high-resolution remote sensing data using machine learning models in the boreal forest of Interior Alaska. …”
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    Article
  10. 8030

    Análisis espacial de datos para clasificar Musáceas en zonas Bananeras no tradicionales del Ecuador by Patricia Gómez, Omar Ruíz Barzola, Hernán Garcés, Esther Lilia Peralta García

    Published 2011-05-01
    “…This analysis is done using geostatistical techniques, which means the adjustment of the semivariograms for the different theoretical models of variograms, help to obtain estimation maps (kriging technique) and to determine the spatial probability of finding Musa varieties with the characteristics described by INIBAP, making comparisons between different fields of study. …”
    Get full text
    Article
  11. 8031

    Development of the TSR-based computational method to investigate spike and monoclonal antibody interactions by Tarikul I. Milon, Titli Sarkar, Titli Sarkar, Yixin Chen, Jordan M. Grider, Feng Chen, Jun-Yuan Ji, Seetharama D. Jois, Konstantin G. Kousoulas, Vijay Raghavan, Wu Xu

    Published 2025-03-01
    “…In our previous studies, we introduced the Triangular Spatial Relationship (TSR)-based algorithm, which represents a protein’s 3D structure using a vector of integers (keys). …”
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    Article
  12. 8032

    Time Series Modelling of the Caspian Kutum (Rutilus frisii) Catch Using SARIMA Model by Fateh Moezzi, Hadi Poorbagher, Soheil Eagderi, Jahangir Feghhi

    Published 2024-06-01
    “…The simplicity of the obtained models considering the obtained seasonal and nonseasonalcomponents could be explained by the short time frame and the low number of datapoints. However, spatial classification of fishing points resulted in more detailed models andhigher recognition potential of them. …”
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    Article
  13. 8033

    Seasonal dynamics and regional distribution patterns of CO<sub>2</sub> and CH<sub>4</sub> in the north-eastern Baltic Sea by S. Lainela, E. Jacobs, S.-T. Luik, S.-T. Luik, G. Rehder, U. Lips

    Published 2024-10-01
    “…Surface water <span class="inline-formula"><i>p</i></span>CO<span class="inline-formula"><sub>2</sub></span> and <span class="inline-formula"><i>c</i></span>CH<span class="inline-formula"><sub>4</sub></span> distributions showed larger spatial variability in the GoR and GoF than in the NBP for all six cruises. …”
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  14. 8034

    Provenance-Finding of Dust Storms Using AVHRR Sensor Images of NOAA Satellite (Case Study: Southwest of Iran) by Mohammad Hossein Rezaei Moghaddam, Mojtaba Mahdian Boruojeni

    Published 2016-03-01
    “…The present study aims at identifying the origin and dust removal centers located in the southwest of Iran's borders. 2- Materials and Methods In this study, investigating the dust of the southwest of Iran, AVHRR sensor of NOAA satellite have been used to identify the origins of dust storms. …”
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  15. 8035
  16. 8036
  17. 8037

    Aportaciones desde la psicomotricidad a la observación de las instalaciones artísticas (Contributions from psychomotricity to the observation of artistic installations) by Maria Teresa Vizcarra Morales, Ainhoa Gómez-Pintado, Judit Martínez-Abajo, Ana-Luisa López-Vélez

    Published 2022-06-01
    “…(Aucouturier, 2018). This article presents the construction of an observation tool to investigate how motor development is shown in early childhood when children are immersed in an installation art designed to provoke experimentation, among other contents and capabilities. …”
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    Article
  18. 8038

    INTERACTION BETWEEN DENTO-MAXILLOFACIAL ANOMALIES AND GENERAL-SOMATIC HUMAN CONDITION (LITERATURE REVIEW) by L.V. Smaglyuk, H.V. Voronkova, A.Ye. Karasiunok, A.V. Liakhovska, V.I. Smaglyuk

    Published 2019-12-01
    “…The position of the jaws has an effect on the spatial orientation of the head and this in turn affects the position of other structures of the body. …”
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  19. 8039
  20. 8040