For a Semiotic Approach to Generative Image AI by Enzo D'Armenio, Maria Giulia Dondero, Adrien Deliège, Alessandro Sarti

“…The theoretical assumption of this article is that the images produced by these AIs are the results of a particular intersemiotic translation, realized through the collaboration of human and computational operators. Our research will show the specificity of the intersemiotic translation realized by AIs vis-à-vis more classical kinds of translation (e.g., from a novel to a movie) and will also analyze the different kinds of “visual reasoning” characterizing Midjourney and DALL•E. …”
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Hybrid Mamba for amphibious Limulidae low-light image enhancement by Lili Han, Xiuping Liu, Tao Xu, Yuangan Wang

“…The main contributions include the construction of the amphibious low-light image dataset (ALID) in collaboration with the Beibu Gulf Key Laboratory of Marine Biodiversity Conservation and the introduction of the hybrid Mamba method. …”
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Enhanced Interpretable Forecasting of Cryptocurrency Prices Using Autoencoder Features and a Hybrid CNN-LSTM Model by Wajeeha Badar, Shabana Ramzan, Ali Raza, Norma Latif Fitriyani, Muhammad Syafrudin, Seung Won Lee

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Pulsar’s Application in Energy Systems: Review of Current Status, Challenges, and Opportunities by Yongxin Zhang, Yuru Wu, Yu Liu, Biao Sun, Jiahui Yang, Naga Lakshmi Thotakura, Kazi Ishrak Ahmed, Qian Liu, Chong Shen, Yilu Liu

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Multicriteria-Based Crowd Selection Using Ant Colony Optimization by Guan Wang, Farhad Ali, Jonghoon Yang, Shah Nazir, Ting Yang, Abdullah Khan, Muhammad Imtiaz

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MSDCA: A Multi-Scale Dual-Branch Network with Enhanced Cross-Attention for Hyperspectral Image Classification by Ning Jiang, Shengling Geng, Yuhui Zheng, Le Sun

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What are the influencing factors of online learning engagement? A systematic literature review by Juan Hu, Wen Xiao

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The Future of Education: A Multi-Layered Metaverse Classroom Model for Immersive and Inclusive Learning by Leyli Nouraei Yeganeh, Nicole Scarlett Fenty, Yu Chen, Amber Simpson, Mohsen Hatami

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A survey on exploring the challenges and applications of wireless body area networks (WBANs) by Arun Sekar Rajasekaran, L. Sowmiya, Azees Maria, R. Kannadasan

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A rare case of malignant transformation: squamous cell carcinoma arising on the basis of an ovarian mature cystic teratoma by Furkan Özdem, Sümeyya Duran Kaymak, Berna Turhan, Candost Hanedan, Sezgi Barlas, Özge Demirsoy, Rasime Pelin Kavak

“…This case underscores the importance of interdisciplinary collaboration in addressing complex gynecologic pathologies.…”
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Research progress on modeling of heavy metal adsorption by biochar based on machine learning by FENG Ding, LIU Jingjing, MA Wendan, LIU Yuxue, YANG Chen, ZHANG Mengmeng

“…Furthermore, the challenges that machine learning faced in the field of biochar-mediated heavy metal adsorption and interdisciplinary collaboration anticipation were analyzed. Strategies such as establishing a more comprehensive and reliable adsorption database, incorporating surface functional groups as influential factors, emphasizing model accuracy, and balancing computational costs were proposed to deepen the research on modeling heavy metal adsorption by biochar.…”
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The mediation of trust on artificial intelligence anxiety and continuous adoption of artificial intelligence technology among primacy nurses: a cross-sectional study by Qi Zhou, Lili Yang, Yue Tang, Jiekai Yang, Wanting Zhou, Wenqing Guan, Lihui Yan, Yutong Liu

“…Conclusion Primary institutions should enhance AI education and training to alleviate learning anxiety, optimize the human-computer collaboration process to diminish nurses’ feelings of substitution, and bolster nurses’ AI and organizational trust by fostering organizational support and technological transparency, increasing their willingness to maintain adoption.…”
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FAIR assessment of Disease Maps fosters open science and scientific crowdsourcing in systems biomedicine by Irina Balaur, Danielle Welter, Adrien Rougny, Esther Thea Inau, Alexander Mazein, Soumyabrata Ghosh, Reinhard Schneider, Dagmar Waltemath, Marek Ostaszewski, Venkata Satagopam

“…These disease maps require continuous interdisciplinary collaboration and should be reusable and interoperable. …”
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A comparative study of a new challenge-based learning model for engineering majors by V. Robledo-Rella, L. Neri, R. M. G. García-Castelán, A. Gonzalez-Nucamendi, J. Valverde-Rebaza, J. Noguez

“…Current society needs professionals able to identify and collaboratively solve the main challenges of the 21st century. …”
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Application of fourth industrial technologies: a case of Zimbabwe's mines by Alouis Chilunjika

“…To address the identified challenges, the study recommended that there is a need for the development of 4IR infrastructure, enactment and strengthening of 4IR supporting policy and regulatory frameworks, capacity building and training, collaborations and partnerships, supporting research and development (R&D) initiatives, and awareness campaigns and stakeholder engagement.…”
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A Comprehensive Review of Blockchain and Machine Learning Integration for Peer-to-Peer Energy Trading in Smart Grids by Sameen Fatima, Muhammad Junaid Arshad

“…This study integrates current knowledge with a forward-looking perspective, providing valuable insights for researchers, policymakers, and stakeholders in the energy sector to collaboratively build a future of efficient and intelligent energy systems.…”
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Managing Timing Uncertainties in Worst-Case Design of Machine Learning Applications by Robin Hapka, Rolf Ernst

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Breast Cancer Classification With Enhanced Interpretability: DALAResNet50 and DT Grad-CAM by Suxing Liu, Galib Muhammad Shahriar Himel, Jiahao Wang

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Multi-Class Skin Cancer Classification Using a Hybrid Dynamic Salp Swarm Algorithm and Weighted Extreme Learning Machines with Transfer Learning by Ramya Panneerselvam, Sathiyabhama Balasubramaniam

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Ethnobotanical study of wild edible plants in Metema and Quara districts, Northwestern Ethiopia by Daniel Tadesse, Getinet Masresha, Ermias Lulekal, Asmamaw Alemu

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