THE QUALITY OF THE EDUCATIONAL PROCESS IN THE UNIVERSITY THROUGH STUDENTS’ EYES by S. S. Kotova, I. I. Hasanova

“…The amountof selection – 575 respondents; information data processing was performed using methods of the content analysis and correlation analysis Practical significance. …”
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Evaluating the robustness of Bayesian flood mapping with Sentinel-1 data: A multi-event validation study by Florian Roth, Mark Edwin Tupas, Claudio Navacchi, Jie Zhao, Wolfgang Wagner, Bernhard Bauer-Marschallinger

“…In addition to computing common accuracy metrics, eight representative events were analysed in detail to understand the reasons for the differences found, identify potential improvements for the method, and gain generic insights for radar-based flood mapping. Most differences are caused by the use of the VH polarization in some of the ODM reference maps, while the GFM service so far relies exclusively on VV polarization due to computational costs. …”
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Tropical Forest Carbon Accounting Through Deep Learning-Based Species Mapping and Tree Crown Delineation by Georgia Ray, Minerva Singh

“…Completely novel in approach, this study proposes a methodology encompassing two bespoke deep learning models: (1) a single encoder, double decoder (SEDD) model to generate a species segmentation map, regularized by a distance map in training, and (2) an XGBoost model that estimates the diameter at breast height (DBH) based on tree species and crown measurements. …”
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Soil Organic Carbon Prediction and Mapping in Morocco Using PRISMA Hyperspectral Imagery and Meta-Learner Model by Yassine Bouslihim, Abdelkrim Bouasria, Budiman Minasny, Fabio Castaldi, Andree Mentho Nenkam, Ali El Battay, Abdelghani Chehbouni

“…Accurate mapping of soil organic carbon (SOC) supports sustainable land management practices and carbon accounting initiatives for mitigating climate change impacts. …”
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Flood risk mapping and performance efficiency evaluation of machine learning algorithms: Best practice in northern Iran by M. Shirmohammadi, M. Shirmohammadi, S. Pirasteh, W. Li, D. Mafi-Gholami

“…Flooding is one of the most devastating natural hazards, and inadequate management can amplify its impacts, leading to severe social, economic, and environmental consequences. …”
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Mapping and assessing the coral reef health in Kadatua, Tiwutonkidi and Siompu Islands, South East Sulawesi, Indonesia by Daniel Deonisius Pelasula, Sam Wouthuyzen, Mufti Petala Patria, Simon Izaak Patty, Petrus Christianus Makatipu, Baru Sadarun, Wiesye Violent Pelupessy, Suiyuan Wang, Johanis Dominggus Lekallete

“…The results of the mapping using Landsat-8 OLI data classified five groups of benthic habitats: algae, corals, seaweed, rubble, and sand, after following the standard image processing procedure and utilizing sun-glint, water column correction and maximum likelihood classification. …”
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Mapping and understanding the regional farmland SOC distribution in southern China using a Bayesian spatial model by Bifeng Hu, Yibo Geng, Hanjie Ni, Zhou Shi, Zheng Wang, Nan Wang, Jipeng Luo, Modian Xie, Qian Zou, Thomas Optiz, Hongyi Li

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Best Proximity Points of Generalized Semicyclic Impulsive Self-Mappings: Applications to Impulsive Differential and Difference Equations by M. De la Sen, E. Karapinar

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30 Years of Research in Brand Personality: Mapping Knowledge and Analyzing the Thematic Structure by a Scientometrics Approach by Mohammad Rahim Esfidani, Mohsen Nazari, Shahriar Gharibzadeh, Nakisa Rezaie

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Comparative Assessment of Weights of Evidence and Statistical Index Models for Groundwater Potential Mapping in the Dehgolan Plain, Iran by Golaleh Shariati, Ali Haghizadeh, Sina Zalbegi, Elham Kiani

“…The groundwater potential map was validated using the ROC curve in SPSS software. …”
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Metacognitive mapping: developmental biology students struggle with higher-order cognitive skills in multiple course formats by Wendy Aquino Nunez, Meadow C. B. Scott, Dyan E. Morgan

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Downscaling of Soil Moisture Map using Sentinel Radar Satellite Images and Distribution Analysis in the West of Iran by Seyed Hossein Mirmosavi, kohzad Raispour, Muhammad Kamangar

“…Valio index of 0.3978 showed the existence of spatial autocorrelation of soil moisture in the west of the country. The hot spot map also revealed that the surface moisture of the soil is nuclear in the northwest direction and to the southeast and most of the altitudes are above 2000 meters. …”
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A mixed methods study to evaluate participatory mapping for rural water safety planning in western Kenya. by Joseph Okotto-Okotto, Weiyu Yu, Emmah Kwoba, Samuel M Thumbi, Lorna Grace Okotto, Peggy Wanza, Diogo Trajano Gomes da Silva, Jim Wright

“…However, its uptake remains low in rural areas. Participatory mapping, the process of map creation for resource management by local communities, has yet to be used for rural water safety planning. …”
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Prevalence of Babies Born With Neural Tube Defects and Geospatial Mapping of Therapeutic Services: A Systematic Review by Yvan Zolo, Dalle Ulrich David, Moses Isiagi, Salome Maswime

“…Our search spanned databases like PubMed, EMBASE, and Scopus, focusing on NTD prevalence, healthcare service mapping, and access barriers. We followed a standardized data extraction process, and the study is registered with PROSPERO (CRD42023425843). …”
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High-resolution mapping of substantia nigra in Parkinson’s disease using 7 tesla magnetic resonance imaging by Christopher F. Madelung, Annemette Løkkegaard, Søren A. Fuglsang, Marta M. Marques, Vincent O. Boer, Kristoffer H. Madsen, Anne-Mette Hejl, David Meder, Hartwig R. Siebner

“…Thus, ultra-high field MRI provides high-resolution maps of various aspects of the underlying neurodegenerative process which reflect individual motor impairment in Parkinson’s disease.…”
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Kriging-Variance-Informed Multi-Robot Path Planning and Task Allocation for Efficient Mapping of Soil Properties by Laurence Roberts-Elliott, Gautham P. Das, Grzegorz Cielniak

“…One of the most commonly performed environmental explorations is soil sampling to identify soil properties of agricultural fields, which can inform the farmer about the variable rate treatment of fertilisers in precision agriculture. …”
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QTL mapping for yield contributing traits in mungbean (Vigna radiata L.) using a RIL population by Shashidhar B. Reddappa, Muralidhar S. Aski, Gyan P. Mishra, Soma Gupta, Kumbarahally M. Shivaprasad, Subodh K. Sinha, Ranjeet R. Kumar, Anirban Roy, Dwijesh C. Mishra, Shouvik Das, Prashant Anupama Mohan Pawar, Ramakrishnan Madhavan Nair, Harsh K. Dikshit

“…Abstract Mungbean (Vigna radiata L.) is one of the most important yet genomically under-researched leguminous food crop. …”
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Research Trends in the Field of Participatory Governance: Drawing a Map of Co-occurrence and Co-word Analysis by Seyed Mohsen Mirbagheri, Seyed Mostafa Jalili

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Seabed Acoustic Mapping Revealing an Uncharted Habitat of Circular Depressions Along the Southeast Brazilian Outer Shelf by Ana Carolina Lavagnino, Marcos Daniel Leite, Tarcila Franco, Pedro Smith Menandro, Fernanda Vedoato Vieira, Geandré Carlos Boni, Alex Cardoso Bastos

“…We first hypothesize that their origin results from combined diachronous processes. The circular depressions mapped at high resolution could be related to sea level processes acting during the last glacial period and shelf exposure, i.e., relict features. …”
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Outcome Mapping as a Monitoring and Evaluation Tool for Livestock Value Chain Interventions: The Case of imGoats by Hailemichael Taye Beyene, Kees Swaans, Birgit Boogaard, Ramkumar Bendapudi, Saskia Hendrickx

“…Predominantly, the emic approach is used as most of the authors are directly involved in the action research process.  …”
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