Knowledge map of artificial intelligence in neurodegenerative diseases: a decade-long bibliometric and visualization study by Junwei Huang, Shuqi Wang, Xuankai Liao, Danting Su, Rubing Lin, Tao Zhang, Long Zhao

“…We conducted comprehensive bibliometric analyses and knowledge mapping visualizations using established scientometric tools: CiteSpace and Bibliometrix.ResultsA total of 1921 documents were included in the study, the number of publications in this field showed an overall increasing trend, and the average number of citations showed a downward trend since 2019. …”
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High-temperature flow behavior and processing map of Inconel 625 alloy under electric heating by Changyuan Jia, Han Yin, Kaitian Mei, Wangqing Wu, Bingyan Jiang

“…A strain-compensated Arrhenius constitutive model was established, demonstrating high predictive accuracy validated by a correlation coefficient (R = 0.9901) and an average absolute relative error (AARE = 5.75 %). Based on the dynamic materials model (DMM) theory, hot processing maps were constructed, revealing that flow instability primarily occurs in regions of low temperature and high strain rates. …”
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A linkage map of Aegilops biuncialis reveals significant genomic rearrangements compared to bread wheat by Adam Lampar, András Farkas, László Ivanizs, Kitti Szőke‐Pázsi, Eszter Gaál, Mahmoud Said, Jan Bartoš, Jaroslav Doležel, Abraham Korol, Miroslav Valárik, István Molnár

“…Chromosome 1Mb could not be constructed due to a lack of recombination caused by rearrangements in the MvGB382 accession. The genetic map spans 2518 cM with an average marker density of 2.79 cM. …”
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A deep learning framework to map riverbed sand mining budgets in large tropical deltas by Sonu Kumar, Edward Park, Dung Duc Tran, Jingyu Wang, Huu Loc Ho, Lian Feng, Sameh A. Kantoush, Doan Van Binh, Dongfeng Li, Adam D. Switzer

“…Our DL model achieved a 96.1% Mean Average Precision (mAP) across all classes and 98.4% for the BC class, used in creating an SM boat density map at an Intersection over Union (IoU) threshold of 0.50. …”
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Composing Retrospective Climatic Maps of the Regional Level Based on Monitoring Data from the 19th Century on the Example of Crimea as Part of the Russian Empire by A. S. Avilova

“…As a reference material, data on the climate of the Taurida province are used, on the basis of which maps of the average temperatures of January and July in the territory of Crimea were compiled. …”
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Cascading quantum walks with Chebyshev map for designing a robust medical image encryption algorithm by Fahad Alblehai, Ahmed A. Abd El-Latif, Paweł Pławiak, Bassem Abd-El-Atty

“…To address this issue, a new medical image cipher algorithm based on cascading quantum walk with Chebyshev map has been presented in this paper. The proposed system has been tested and found to have high levels of security and efficiency, with UACI, NPCR, Chi-square, and global information entropy values averaging at 33.48095%, 99.62984%, 248.92128, and 7.99923, respectively.…”
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Mapping the Distance: An Analysis of Visitor Travel Distance to German National Parks and Biosphere Reserves by Lisa Majewski, Anna Frieser, Katrin Lang-Novikov, Manuel Woltering

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Mapping drought characteristics in northern Algerian Basins using the ERA5-Land dataset by A. Ceppi, M. Achite, A. K. Toubal, T. Caloiero

“…Specifically, a decrease in the average number of drought events as the timescale increases is found: from 69 events for the 3-month SPI, with an average duration of about 2 months, to 17 events for the 24-month SPI, with an average duration of approximately 8 months. …”
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Improved grey wolf optimization algorithm based service function chain mapping algorithm by Yue ZHANG, Junnan ZHANG, Xiaochun WU, Chen HONG, Jingjing ZHOU

“…With the rise of new Internet applications such as the industrial Internet, the Internet of vehicles, and the metaverse, the network’s requirements for low latency, reliability, security, and certainty are facing severe challenges.In the process of virtual network deployment, when using network function virtualization technology, there were problems such as low service function chain mapping efficiency and high deployment resource overhead.The node activation cost and instantiation cost was jointly considered, an integer linear programming model with the optimization goal of minimizing the average deployment network cost was established, and an improved grey wolf optimization service function chain mapping (IMGWO-SFCM) algorithm was proposed.Three strategies: mapping scheme search based on acyclic KSP algorithm, mapping scheme coding and improvement based on reverse learning and nonlinear convergence were added to the standard grey wolf optimization algorithm to form this algorithm.The global search and local search capabilities were well balanced and the service function chain mapping scheme was quickly determined by IMGWO-SFCM.Compared with the comparison algorithm, IMGWO-SFCM reduces the average deployment network cost by 11.86% while ensuring a higher service function chain request acceptance rate.…”
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Increasing Students’ Learning Outcomes through Cooperative Learning Model Mind Mapping Type by Muhammad Salman, Rahman Rahim

“…The purpose of this study is to find out how to apply the cooperative learning model, mind mapping type to improve the learning outcomes of elementary school students. …”
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Virtual Foreign Language Classrooms in Tunisia: Mapping Teaching, Learning and Technology-driven Anxiety by Leila NAJEH

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Digital sketch maps and eye tracking statistics as instruments to obtain insights into spatial cognition by Merve Keskin, Kristien Ooms, Ahmet Ozgur Dogru, Philippe De Maeyer

“…This paper explores map users’ cognitive processes in learning, acquiring and remembering information presented via screen maps. …”
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Active Knowledge Sharing Learning Model Assisted by Mind Mapping Media in PPKn Competency by Ni Made Diah Raisita, I G A Agung Sri Asri, Made Putra

“…The data collection used a multiple-choice objective test instrument with one correct answer. The average gain score pre-test and post-test PPKn knowledge competence show the experimental group obtained a result of 0.611 higher than the average competency knowledge of PPKn control class that is 0.474. …”
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Enhanced Global Ionospheric Mapping Using Deep Ensemble Neural Networks With Uncertainty Quantification by Shuyin Mao, Yuanxin Pan, Grzegorz Kłopotek, Matthias Schartner, Hana Krásná, Aletha deWitt, Benedikt Soja

“…Abstract Global ionospheric mapping is essential for ionospheric research. However, conventional approaches often struggle to accurately capture small‐scale ionospheric variations. …”
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Mapping livestock systems, bovine and caprine diseases in Mayo-Kebbi Ouest Province, Chad by Kella Douzouné, Joseph Oloukoi, Ismaila Toko Imorou, Toure Gorgui Ba, Derrick Chefor Ymele Demeveng

“…Thematic maps, tables and charts with a 5% significance threshold visualised risk areas and associated livestock practices. …”
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Visual navigation and crop mapping of a phenotyping robot MARS-PhenoBot in simulation by Zhengkun Li, Rui Xu, Changying Li, Longsheng Fu

“…Using this mapping workflow, the average crop localization error was measured at 6.4 cm, primarily caused by the visual odometry drift. …”
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Time-triggered stream scheduling method combining no-wait and time-slot mapping reuse by HE Qian, GUO Yanan, ZHAO Baokang, PAN Qi, WANG Yong

“…The base period was used as the scheduling cycle time, by adopting no-wait scheduling for real-time streams and time-slot mapping reuse for cyclic streams, the length of gate control list was reduced. …”
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The gatekeeper images in hypertrophic cardiomyopathy: the role of native T1 mapping in Anderson-Fabry disease by Marzia Testa, Eleonora Indolfi, Guido Pastorini, Enrica Conte, Mauro Feola

“…The evaluation of native myocardial T1 has been calculated at an average global value of 924 ms, compatible with hypertrophic phenotype cardiomyopathy with reduced native T1 values as observed in Anderson-Fabry disease. …”
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AI-based mind mapping in project-based learning: Impact on students’ collaboration skills by Miswandi Tendrita Tendri, Ully Hidayati Ulli

“…This study intends to examine the effectiveness of project-based learning (PjBL) supported by artificial intelligence-driven mind mapping in enhancing the collaboration skills of pre-service biology teachers. …”
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Introduction of "MAPS" wound healing index and its correlation with guided bone regeneration outcome. by Amanda Rodriguez, Diego Velasquez, Leonardo Marquez, Jose Maria Ramos, Nataly Zambrana, Maria Masotti, Oliver Kripfgans, Hsun-Liang Chan

“…<h4>Conclusion</h4>The MAPS score improves consistently over the 5-month healing period. …”
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