Analgesia in pediatric abdominal surgery by Jan Geudens, An Teunkens

“…Adequate analgesia is a key component of pediatric abdominal surgery. Multimodal analgesia, using different pharmacological products and locoregional techniques, is increasingly used in clinical practice.This study aims to provide a clear overview of the different modalities used in abdominal surgery in the pediatric population. …”
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Multi-branch convolutional neural network with cross-attention mechanism for emotion recognition by Fei Yan, Zekai Guo, Abdullah M. Iliyasu, Kaoru Hirota

“…Furthermore, the efficiency of the proposed model was evaluated via multimodal emotion experiments using EEG and text data from the ZuCo dataset. …”
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A multi-modal dental dataset for semi-supervised deep learning image segmentation by Yaqi Wang, Fan Ye, Yifei Chen, Chengkai Wang, Chengyu Wu, Feng Xu, Zhean Ma, Yi Liu, Yifan Zhang, Mingguo Cao, Xiaodiao Chen

“…Therefore, this paper presents a multimodal dataset for Semi-supervised Tooth Segmentation (STS-Tooth) in dental PXI and CBCT, named STS-2D-Tooth and STS-3D-Tooth. …”
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A new population initialisation method based on the Pareto 80/20 rule for meta‐heuristic optimisation algorithms by Mohammad Reza Hasanzadeh, Farshid Keynia

“…In addition, the efficiency and effectiveness of the proposed method in comparison with other well‐known initialisation methods using statistical tests and in solving a variety of benchmark functions including unimodal, multimodal, fixed dimensional multimodal, and composite functions as well as in solving well‐known engineering problems was confirmed.…”
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A Multiobjective Genetic Algorithm for the Localization of Optimal and Nearly Optimal Solutions Which Are Potentially Useful: nevMOGA by Alberto Pajares, Xavier Blasco, Juan M. Herrero, Gilberto Reynoso-Meza

“…This results in a more knowledgeable decision. However, multimodal solutions and nearly optimal solutions are ignored, although their consideration may be useful for the decision-maker. …”
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A deep ensemble learning framework for glioma segmentation and grading prediction by Liang Wen, Hui Sun, Guobiao Liang, Yue Yu

“…Abstract The segmentation and risk grade prediction of gliomas based on preoperative multimodal magnetic resonance imaging (MRI) are crucial tasks in computer-aided diagnosis. …”
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Registration and Fusion of the Autofluorescent and Infrared Retinal Images by Radim Kolar, Libor Kubecka, Jiri Jan

“…This article deals with registration and fusion of multimodal opththalmologic images obtained by means of a laser scanning device (Heidelberg retina angiograph). …”
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A bibliometric analysis of metonymy in SSCI-indexed research (2000–2023): retrospect and prospect by Yi Sun, Mocheng Lin

“…Predictive modeling, including ARIMA and LSTM approaches, was used to forecast future research topics based on keyword trends.ResultsThe analysis identified 11 key research clusters, highlighting the central role of cognitive and conceptual linguistics in metonymy research, along with its applications in semantics, pragmatics, and multimodal contexts. Predictive modeling suggested the emergence of seven new research themes for 2024–2028, including the interaction between metonymy and discourse, its role in multimodal communication, and its application in social and cultural narratives.DiscussionThis study underscores the interdisciplinary nature of metonymy research, bridging linguistic, cognitive, and social dimensions. …”
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Enterprise chart question and answer method based on multi modal cross fusion by Xinxin Wang, Liang Chen, Changhong Liu, Jinyu Liu

“…Abstract To enhance enterprises’ interactive exploration capabilities for unstructured chart data, this paper proposes a multimodal chart question-answering method. Facing the challenge of recognizing curved and irregular text in charts, we introduce Gaussian heatmap encoding technology to achieve character-level precise text annotation. …”
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Investigation of Coal Preparation for Life Cycle by Using Building Information Modeling (BIM): A Case Study by Jian Chen, Da-Lin Guo, Xiao-Long Dong, Xiao-Bo Hou, Zhi-Feng Wang

“…By using deep learning method and multimodal data fusion method, the multimodal data association fusion is realized, and Bentley software is adopted for verification and integration. …”
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Imagine going left versus imagine going right: whole-body motion on the lateral axis by K. Patel, J. Stotter, M. C. Pali, I. Giannopulu

“…Furthermore, lateral whole-body motion imagery is associated with the posterior multimodal somatosensory parietal areas, which showed significantly more prominent cortico-cortical interconnections when performing right than left motor imagery, as indicated by Phase-Locked Value (PLV) analysis. …”
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Unusual Case of Superior Vena Cava Syndrome Caused by Intravascular Thyroid Metastasis by Vanesa Varela Pose, María Patricia Fierro Alanis, Anaberta Bermudez Naveira, Oskarina Lourdes Silva Gonzalez, Jorge Fernandez Noya, Urbano Anido Herranz, Rafael Lopez Lopez

“…Superior cava venous obstruction use to show a typical clinical presentation and a CT scan or even an ultrasonography can be sufficient to achieve an accurate diagnosis, but in this case, to obtain the final diagnosis, a multimodal assessment is needed. This case report shows a multidisciplinary approach which helped diagnose a complicated case, where conventional diagnostic methods were not enough.…”
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AI Innovations in rPPG Systems for Driver Monitoring: Comprehensive Systematic Review and Future Prospects by Soha G. Ahmed, Katrien Verbert, Nazar Zaki, Ashraf Khalil, Hamad Aljassmi, Fady Alnajjar

“…The review underscores the potential of AI-enhanced camera systems to improve road safety, emphasizing the need for diverse, multimodal data integration for comprehensive monitoring.…”
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On the road to Mecca: Branding discourses and national identity on coffee shop signage. by Abduljalil Nasr Hazaea, Mutahar Qassem

“…CDA linguistic and multimodal toolbox was utilized. The analysis showed that three names of coffee are found on the road to Mecca: qahwa (Arabic), coffee (English), and kufi (transliteration). …”
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Elucidating governing factors of PFAS removal by polyamide membranes using machine learning and molecular simulations by Nohyeong Jeong, Shinyun Park, Subhamoy Mahajan, Ji Zhou, Jens Blotevogel, Ying Li, Tiezheng Tong, Yongsheng Chen

“…The examination of the impacts of chemical structure involves interpreting the multimodal transformer model incorporated with simplified molecular input line entry system strings through heat maps, providing a visual representation of the attention score assigned to each atom of PFAS molecules. …”
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Current advances in neurocritical care by Yuqing Chen, Shuya Wang, Shanshan Xu, Ningyuan Xu, Linlin Zhang, Jianxin Zhou

“…Decompressive craniectomy for severe traumatic brain injury has also obtained high-quality evidence support. However, multimodal brain monitoring strategies for patients with traumatic brain injury need further optimization. …”
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An RGB-D-Based Cross-Field of View Pose Estimation System for a Free Flight Target in a Wind Tunnel by Sheng Liu, Yuan Feng, Kang Shen, Yangqing Wang, Shengyong Chen

“…Based on all the input multimodal information, a so-called cross-FOV model is proposed to recognize the dominating sensor and accurately extract the foreground region in an automatic manner. …”
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Mind-Body Exercises for Nurses with Chronic Low Back Pain: An Evidence-Based Review by Pinky Budhrani-Shani, Donna L. Berry, Patricia Arcari, Helene Langevin, Peter M. Wayne

“…This review suggests that evaluating the impact of multimodal interventions such as yoga and tai chi for nurses with CLBP warrants investigation.…”
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Alessandro Cosentino, Roma a tempo di musica. Percorsi di didattica musicale transculturale by Giuseppe Sanfratello

“…Percorsi di didattica musicale transculturale by Alessandro Cosentino (Rome, NeoClassica, 2023), a multimodal reconstruction of an applied ethnomusicology course carried out in a high school in Rome. …”
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Efficient recognition of Parkinson’s disease mice on stepping characters with CNN by Yunsong Luo, Yiqi Huang, Guangzhan Fang, Ningping Tan, Yezhong Tang

“…This research not only highlights the substantial potential of applying multimodal data fusion strategies in the early detection of Parkinson’s disease but also proves that such an approach can significantly improve diagnostic accuracy. …”
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