Sistem Informasi Geografi untuk Analisis Potensi Sumber Daya Lahan Pesisir Kepulauan Padaido Kabupaten Biak Numfor, Papua by Rosalina Giovani Mandowen, Rinto H Mambrasar

“…The descriptive research method uses a survey approach for observation of research areas and secondary data collection as well as a spatial analysis approach for land suitability parameters and criteria. …”
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Spatially mapping the tumour immune microenvironments of non-small cell lung cancer by Lysanne Desharnais, Mark Sorin, Morteza Rezanejad, Bridget Liu, Elham Karimi, Aline Atallah, Anikka M. Swaby, Miranda W. Yu, Samuel Doré, Saskia Hartner, Benoit Fiset, Yuhong Wei, Baharak Kadang, Roni Rayes, Philippe Joubert, Sophie Camilleri-Broët, Pierre-Olivier Fiset, Daniela F. Quail, Jonathan D. Spicer, Logan A. Walsh

“…By analyzing interactions and broader cellular networks, we interrogate the tumour microenvironment to understand how immune cells are spatially organized in clinically matched adenocarcinoma and squamous cell carcinoma subsets. This spatial analysis revealed distinct patterns of immune cell aggregation, particularly among macrophage populations, that correlated with patient prognosis differentially in adenocarcinoma and squamous cell carcinoma, suggesting potential new strategies for therapeutic intervention. …”
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Prevalence and spatial distribution of workplace violence against emergency medical staff in China: a cross-sectional study by Ruofan ZHANG, Jing FENG, Ge QU, Xinyan LI, Zihui LEI, Yuchao SUN, Aoqi SHEN, Chuanzhu LV, Xingyue SONG, Yong GAN

“…The spatial distribution of WPV was explored based on geographic information system technology and spatial analysis methods. Data were analyzed using Stata 17.0 and GeoDa 1.18 software. …”
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L’apport de la géomatique à la connaissance de la partie terminale de l’aqueduc du Gier à Lyon by Éric Leroy

“…The available documentation was compiled and processed within the municipal archaeology department’s Geographic Information System (GIS), known as Alyas (Lyon Archaeology and Spatial Analysis).The aqueduct generally follows a straight line in the part of the route that interests us, but the topography also demands more sinuous underground sections. …”
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Machine learning analysis of pathological images to predict 1-year progression-free survival of immunotherapy in patients with small-cell lung cancer by Hirotaka Matsumoto, Hiroaki Akamatsu, Nobuyuki Yamamoto, Yuki Sato, Daichi Fujimoto, Yoshihiko Taniguchi, Motohiro Tamiya, Yasuhiro Koh, Junya Fukuoka, Hisashi Tanaka, Naoki Furuya, Ryota Shibaki, Tsukasa Nozawa, Akira Sano, Yuka Kitamura, Takashi Kijima, Toshihide Yokoyama, Satoru Miura, Akito Hata, Jun Sugisaka

“…The machine learning analysis of the TIME had better accuracy than the human count evaluations (AUC of human count, CD8-positive lymphocyte: 0.681, FoxP3-positive lymphocytes: 0.626, PD-L1 score: 0.567).Conclusions The spatial analysis of the TIME using machine learning predicted the immunotherapy efficacy in patients with SCLC, thus supporting its role as an immunotherapy biomarker.…”
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Nécropoles multipolaires et élaboration d’un nouveau modèle socio-politique au premier âge du Fer : réflexions à partir des sites du Camp de l’Église Sud à Flaujac-Poujols (Lot) et... by Antoine Dumas

“….), the first part of this work is dedicated to the internal analysis of each cemetery. Spatial analysis was performed following a five steps protocol, which included the creation of heatmaps (1), identification of dense areas of graves (2), the construction of concave hulls (3), buffer-zones (4) and a Delaunay triangulation designed to identify potential burial alignments (5). …”
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