Radical classes of l-groups by Dao-Rong Ton

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Water-Matching CAM: A Novel Class Activation Map for Weakly-Supervised Semantic Segmentation of Water in SAR Images by Kai Wang, Zhongle Ren, Biao Hou, Feng Sha, Zhiyang Wang, Weibin Li, Licheng Jiao

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Non-target feature filtering for weakly supervised semantic segmentation by Xuesheng Zhou, Yan Li, Guitao Cao, Wenming Cao

“…CDCC effectively addresses the issue of unsuitability in the clustering group relationships of the original features under specified class conditions. …”
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Applying intervention mapping to develop a program for promoting short physical activity breaks during class time in upper secondary schools: the MOVE12 protocol study by Svein Barene, Patrick Foss Johansen, Hege Eikeland Tjomsland, Rolf Inge Ølberg, Miranda Thurston

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An endoscopic ultrasound-based interpretable deep learning model and nomogram for distinguishing pancreatic neuroendocrine tumors from pancreatic cancer by Nan Yi, Shuangyang Mo, Yan Zhang, Qi Jiang, Yingwei Wang, Cheng Huang, Shanyu Qin, Haixing Jiang

“…The optimal DL model was identified and used to establish a clinical signature, which subsequently informed the construction and evaluation of a nomogram. Gradient-weighted Class Activation Mapping (Grad-CAM) and Shapley Additive Explanations (SHAP) were implemented to interpret and visualize the model outputs. …”
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Periods for holomorphic maps via Lefschetz numbers by Jaume Llibre, Michael Todd

“…We characterise the set of fixed points of a class of holomorphic maps on complex manifolds with a prescribed homology. …”
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A comprehensive global mapping of offshore lighting by C. D. Elvidge, T. Ghosh, N. Chatterjee, N. Chatterjee, M. Zhizhin, M. Zhizhin, P. C. Sutton, M. Bazilian

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Mental maps and representations of the city centre of Thessaloniki by Olympia PAPAIOANNOU, Apostolos PAPAGIANNAKIS, Panagiotis A. HATZIPROKOPIOU

“…Human-centered factors, such as mental capacity, memories, emotional state, age, gender, as well as social-cultural ones, such as social media influences and prejudices, have a great significance on mental mapping. Inspired by Kevin Lynch (1960) and Jack Nasar (1990), this paper analyzes the center of Thessaloniki, through information and mental maps gathered from 50 interviews with residents, both men and women from different age groups and a range of social classes. …”
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Lie and Riccati Linearization of a Class of Liénard Type Equations by A. G. Johnpillai, C. M. Khalique, F. M. Mahomed

“…Since the class of equations also admits an eight-parameter Lie group of point transformations, we utilize the Lie-Tresse linearization theorem to obtain linearizing point transformations as well. …”
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Applying the Dempster–Shafer Fusion Theory to Combine Independent Land-Use Maps: A Case Study on the Mapping of Oil Palm Plantations in Sumatra, Indonesia by Carl Bethuel, Damien Arvor, Thomas Corpetti, Julia Hélie, Adrià Descals, David Gaveau, Cécile Chéron-Bessou, Jérémie Gignoux, Samuel Corgne

“…We assessed the potential of the Dempster–Shafer Theory (DST) to enhance oil palm mapping in Sumatra (Indonesia) by combining four land-cover maps, hereafter named DESCALS, IIASA, XU, and MAPBIOMAS, according to the first author’s name or the research group that published it. …”
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Extended Perturbed Mixed Variational-Like Inequalities for Fuzzy Mappings by Muhammad Bilal Khan, Muhammad Aslam Noor, Khalida Inayat Noor, Ahmad Termimi Ab Ghani, Lazim Abdullah

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The Effect of The Mind Map Method on The Students’ Memory in Thematic Learning by Dea Amelia Harits, Mizaniya Mizaniya

“…The purpose of this study was to find out the influence of mind map method on the memory of learners in thematic learning in class IV MI Ma'arif NU 02 Tamansari. …”
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Graphing, homotopy groups of spheres, and spaces of long links and knots by Robin Koytcheff

“…With multiple components, they admit split injections from homotopy groups of spheres. We show that, up to knotting, these account for all the homotopy groups in a range which depends on the dimensions of the source manifolds and target manifold and which roughly generalizes the triple-point-free range for isotopy classes. …”
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Wetland vegetation mapping improved by phenological leveraging of multitemporal nanosatellite images by Lucas T. Fromm, Laurence C. Smith, Ethan D. Kyzivat

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Mapping naturally presented T cell antigens in medulloblastoma based on integrative multi-omics by Julia Velz, Lena K. Freudenmann, Gioele Medici, Marissa Dubbelaar, Malte Mohme, David R. Ghasemi, Jonas Scheid, Daniel J. Kowalewski, Angelica B. Patterson, Anna M. Zeitlberger, Katrin Lamszus, Manfred Westphal, Matthias Eyrich, Martina Messing-Jünger, Andreas Röhrig, Harald Reinhard, Kévin Beccaria, Rogeiro B. Craveiro, Beat M. Frey, Martin Sill, Sven Nahnsen, Marie Gauder, Konstantina Kapolou, Manuela Silginer, Tobias Weiss, Hans-Georg Wirsching, Patrick Roth, Michael Grotzer, Niklaus Krayenbühl, Oliver Bozinov, Luca Regli, Hans-Georg Rammensee, Elisabeth J. Rushing, Felix Sahm, Juliane S. Walz, Michael Weller, Marian C. Neidert

“…Medulloblastoma is shown to be a rich source of tumor-associated antigens, naturally presented on HLA class I and II molecules. Remarkably, most tumor-associated peptides and proteins are subgroup-specific, whereas shared presentation among all subgroups of medulloblastoma (WNT, SHH, Group 3 and Group 4) is rare. …”
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Soil erosion susceptibility maps and raster dataset for the hydrological basins of North Africa by Adil Salhi, Sara Benabdelouahab, Essam Heggy

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Determining Physical Characteristics of Watersheds in Artvin Province Using SRTM and Topographic Map Data by Saim Yıldırımer, Mehmet Özalp, Esin Erdoğan Yüksel

“…Moreover, in grouping of slope classification, as 89.29% of the province was found to be within the very-steep slope class based on the topographic maps, a very similar result of 87.13% was revealed using SRTM data.…”
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BIPE: A Bi-Layer Predictive Ensemble Framework for Forest Fire Susceptibility Mapping in Germany by Ling Hu, Volker Hochschild, Harald Neidhardt, Michael Schultz, Pegah Khosravani, Hadi Shokati

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Informed choices for some, but not for others: An exploration of Australian midlife women’s participation in mammography screening by social class by Samantha Batchelor, Belinda Lunnay, Sara Macdonald, Paul R Ward

“…Methods: We interviewed 36 Australian midlife women from differing social class groups who were ‘screeners’ or ‘non-screeners’. …”
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A New Multiface Target Detection Algorithm for Students in Class Based on Bayesian Optimized YOLOv3 Model by Dongmei Shi, Hongyu Tang

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