Vie et œuvre d’Eugène Poilane (1888-1964) by Ariadna Burgos, Benoît Carré

“…He was interested in the local and documented indigenous knowledge, uses and methods of exploitation of the local flora, while drawing a very precise portrait of the life, customs and colonial spirit of the time. He spent over half a century in Indochina and, was able to fit in well in the society, even embodying some of its most tragic upheavals. …”
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Lieu, genre et mémoire orale : l’histoire oubliée de l’arrivée des maquis au Val d’Aran vécue et racontée par les femmes by Mireia Boya-Busquet, Rosa Cerarols-Ramirez

“…The analysis of these life’s stories of these women that were children at that time offers us a new narrative of the events, as well as a resource to understand the daily relationships and their particular sense of place. …”
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Does Using Artificial Intelligence in Citizen Science Support Volunteers’ Learning? An Experimental Study in Ornithology by Khrystyna Pankiv, Laure Kloetzer

“…Our results show that novice participants who participate in a CS project for even a short time significantly improve their content knowledge of familiar birds in their neighbourhood, and that eBird users outperform Merlin users on the knowledge post-test. …”
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Simulation and validation of the effect of hydrostatic and non-hydrostatic pressure on contact pressure in a resilient seat butterfly valve by K Yuvaraj, G Arunkumar

“…The results confirm the valve’s ability to maintain leak-proof operation under both hydrostatic and non-hydrostatic pressures, validating FEA predictions and reducing reliance on time-intensive physical testing. These findings emphasize the robustness of resilient-seated butterfly valve design and its optimization for industrial applications, improving operational reliability and enhancing simulation accuracy in fluid control systems.…”
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FingerDTA: A Fingerprint-Embedding Framework for Drug-Target Binding Affinity Prediction by Xuekai Zhu, Juan Liu, Jian Zhang, Zhihui Yang, Feng Yang, Xiaolei Zhang

“…Many efforts have been exerted toward screening potential drugs for targets, and conducting wet experiments remains a laborious and time-consuming approach. Artificial intelligence methods, such as Convolutional Neural Network (CNN), are widely used to facilitate new drug discovery. …”
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MRCNN: Multi-input residual convolution neural network for three-dimensional reconstruction of bubble flows from light field images by Heng Zhang, Jiayi Li, Niujia Sun, Hua Li, Qin Hang

“…Nevertheless, conventional bubble measurement techniques grapple with challenges encompassing system intricacy, limited real-time capabilities, and inaccuracies stemming from their inherent two-dimensional (2-D) nature. …”
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Artificial intelligence in higher education: problems, opportunities, risks by Renata R. Gasanova, Ekaterina A. Romanova

“…It is summarized that the most promising direction for application of AI technologies in higher education is an additional education, which is organized primarily for acquisition of specific knowledge and skills by reducing the time spent searching for literature, scientific reviews, setting specific tasks and problems, organizing communication, etc.…”
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Comparison and Analysis of Algorithms for Coordinated EV Charging to Reduce Power Grid Impact by Cesar Diaz-Londono, Paolo Maffezzoni, Luca Daniel, Giambattista Gruosso

“…Both coordinators account for uncertainties in EV arrival time and state of charge, as well as inflexible demands on transformers. …”
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Le site d’Azrou Iklane : un exemple d’usage de l’imagerie numérique pour l’étude et la préservation de l’art rupestre saharien by Gwenola Graff, Martin Loyer, Abdelhadi Ewague, Romain Simenel, Maxence Bailly

“…From a scientific point of view, the digital tool would also have to be able to take into account an understanding of the graphical overlapping of the engravings through time. In agreement with the country’s heritage authorities, the project comprised a mapping of the area using a differential global positioning system, employed to elaborate a digital elevation model. …”
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Factors Controlling Carbon Metabolism and Humification in Different Soil Agroecosystems by S. Doni, C. Macci, E. Peruzzi, B. Ceccanti, G. Masciandaro

“…The chemical-structural and biochemical soil properties at the initial sampling time and one year later were evaluated. The soils under organic (Alberese, soil cultivated with Triticum durum Desf.) and nonintensive management practices (Puch, soil cultivated with Triticum aestivum L. and Avena sativa L.) showed higher enzymatically active humic carbon, total organic carbon, humification index (B/E3s), and metabolic potential (dehydrogenase activity/water soluble carbon) if compared with conventional agriculture and plough-based tillage, respectively. …”
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Peloidtherapy in older adults with knee osteoarthritis. Yaguaramas, 2021 by Maydelin Pérez Reina, Isidro Matos Lamote, Mailyn Montero Morales, Jorge Enrique Rodríguez León, Julián Sobral Rey, Esther Yarinely Hernández Diéguez

“…<br /><strong>Results</strong>: there was a predominance of patients in the age group of 66-70 years old and of the female sex; with evolution time between 5-10 years (60%); and with both knees affected (56.7%). …”
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Regenerative activity of stomach epithelial cells at small-intestinal obstruction by V. Ye. Milyukov, K. K. Nguyen

“…Obturation and strangulation ASIO dynamics result in decrease of metabolic processes leading to reduction of mucosal proliferative activity and suppression of regenerative capacity. At the same time metabolism of epitheliocytes of coating layer and cervical part cells and cells of cambial fundic part of glands is suppressed most significantly, at preservation of metabolic processes of zymogenic main cells of mucosal glands (pepsinogen­producing cells), i.e. generating aggressive factor. …”
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From dyspnea to Olympic qualification - A case report as a model for post-acute sequelae of COVID-19 by Baudrexl JC, Steinestel K, Gagiannis D

“…This gradually freed the athlete from her restrictions. Over time, she was able to regain her athletic performance, which ultimately led to her successful qualification for the 2024 Summer Olympics in Paris. …”
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Predicting survival in malignant glioma using artificial intelligence by Wireko Andrew Awuah, Adam Ben-Jaafar, Subham Roy, Princess Afia Nkrumah-Boateng, Joecelyn Kirani Tan, Toufik Abdul-Rahman, Oday Atallah

“…Survival analysis is an essential aspect of glioma management and research, as most studies use time-to-event outcomes to assess overall survival (OS) and progression-free survival (PFS) as key measures to evaluate patients. …”
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Comparison of Maximum Stretch Forces between Femtosecond Laser-Assisted Capsulotomy and Continuous Curvilinear Capsulorhexis by Mari Takagi, Takashi Kojima, Kei Ichikawa, Yoshiki Tanaka, Yukihito Kato, Rie Horai, Akeno Tamaoki, Kazuo Ichikawa

“…Stretch force and distance were recorded over time, and the maximum values in this regard were defined as those that were recorded when the capsule broke. …”
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The Marshall Plan and the European Integration: The Stance of Great Britain and France (1947–1948) by P. I. Falaleev

“…The author stresses that the need to defend their interests during the course of negotiations with the US representatives contributed greatly to the rapprochement of Britain and France and, at the same time, catalyzed debates on the integration of Western Europe. …”
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Improvement in Paretic Arm Reach-to-Grasp following Low Frequency Repetitive Transcranial Magnetic Stimulation Depends on Object Size: A Pilot Study by Jarugool Tretriluxana, Shailesh Kantak, Suradej Tretriluxana, Allan D. Wu, Beth E. Fisher

“…While rTMS had no effect on RTG action for the larger object, real rTMS significantly improved movement time, aperture opening, and RTG coordination for the smaller object. …”
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Multi-query based key node mining algorithm for social networks by Guodong XIN, Tengwei ZHU, Junheng HUANG, Jiayang Wei, Runxuan Liu, Wei WANG

“…Mining key nodes in complex networks has been a hotly debated topic as it played an important role in solving real-world problems.However, the existing key node mining algorithms focused on finding key nodes from a global perspective.This approach became problematic for large-scale social networks due to the unacceptable storage and computing resource overhead and the inability to utilize known query node information.A key node mining algorithm based on multiple query nodes was proposed to address the issue of key suspect mining.In this method, the known suspects were treated as query nodes, and the local topology was extracted.By calculating the critical degree of non-query nodes in the local topology, nodes with higher critical degrees were selected for recommendation.Aiming to overcome the high computational complexity of key node mining and the difficulty of effectively utilizing known query node information in existing methods, a two-stage key node mining algorithm based on multi-query was proposed to integrate the local topology information and the global node aggregation feature information of multiple query nodes.It reduced the calculation range from global to local and quantified the criticality of related nodes.Specifically, the local topology of multiple query nodes was obtained using the random walk algorithm with restart strategy.An unsupervised graph neural network model was constructed based on the graphsage model to obtain the embedding vector of nodes.The model combined the unique characteristics of nodes with the aggregation characteristics of neighbors to generate the embedding vector, providing input for similarity calculations in the algorithm framework.Finally, the criticality of nodes in the local topology was measured based on their similarity to the features of the query nodes.Experimental results demonstrated that the proposed algorithm outperformed traditional key node mining algorithms in terms of time efficiency and result effectiveness.…”
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Debris management after earthquake incidence in ancient City of Ray by L. Askarizadeh, A.R. Karbassi, M.B. Ghalibaf, J. Nouri

“…A set of factors, including diversity of the existing wastes, separation of the recyclable wastes, and allocation of the best place and route for debris disposal in the shortest time and with the shortest distance in the street network, were presented and considered in the analyses. …”
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EEG Source Imaging Guided by Spatiotemporal Specific fMRI: Toward an Understanding of Dynamic Cognitive Processes by Thinh Nguyen, Thomas Potter, Trac Nguyen, Christof Karmonik, Robert Grossman, Yingchun Zhang

“…A novel multimodal EEG/fMRI integration method was developed in this study to achieve high spatiotemporal accuracy by employing the most probable fMRI spatial subsets to guide EEG source localization in a time-variant fashion. In comparison with the traditional fMRI constrained EEG source imaging method in a visual/motor activation task study, the proposed method demonstrated superior localization accuracy with lower variation and identified neural activity patterns that agreed well with previous studies. …”
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