Reshaping Museum Experiences with AI: The ReInHerit Toolkit by Paolo Mazzanti, Andrea Ferracani, Marco Bertini, Filippo Principi

“…Designed to bridge the technology gap between larger institutions and smaller organizations, the ReInHerit Toolkit also promotes a sustainable, people-centered approach to digital innovation, supported by shared resources, training, and collaborative development opportunities accessible through the project’s Digital Hub.…”
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TOLD LIKE IT IS! AN EVALUATION OF AN INTEGRATED ORAL DEVELOPMENT PILOT PROJECT by David Barr, Jonathan Leakey, Alexandre Ranchoux

“…The project aim was to deliver a blend of collaborative and individual learning through a combination of CALL programs and online activities alongside traditional face-to-face conversation classes. …”
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Natural product databases for drug discovery: Features and applications by Tao Zeng, Jiahao Li, Ruibo Wu

“…With advancements in computational technology, computation-enabled natural drug discovery is gaining increasing significance, with NP databases playing a pivotal role. …”
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Figurations of Timely Extraction by Helen Pritchard, Jara Rocha, Femke Snelting

“…This paper makes use of the contaminated and contaminating practice of figuration to plot stories that highlight some of the milestones of deadly collaboration, of optimised acceleration, and of sedimented damage. …”
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The role of artificial intelligence (AI) and Chatgpt in water resources, including its potential benefits and associated challenges by Saif Haider, Muhammad Rashid, Muhammad Atiq Ur Rehman Tariq, Abdullah Nadeem

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A Literature Review on Artificial Intelligence in Dermatological Diagnosis and Tissue Microscopy by Paul-Vasile Vezeteu, Andrei-Daniel Andronescu, Dumitru-Iulian Nastac

“…Artificial Intelligence is reshaping dermatological diagnosis and dermatopathology by leveraging computer vision to enable innovative and effective medical approaches. …”
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Lentil plant disease and quality assessment: A detailed dataset of high-resolution images for deep learning researchMendeley Data by Eram Mahamud, Md Assaduzzaman, Shayla Sharmin

“…The dataset's creation involved collaboration with domain experts to ensure its relevance and reliability for agricultural research. …”
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Investigating the impact of the OOP-SOLVE application on the user’s behavior using the technology acceptance model in the programming course by Sohail Iqbal Malik, Roy Mathew, Ragad M. Tawafak, Ghaliya Al-Farsi, Abir Al-Sideiri

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Visual servoing of an underwater robotics arm for automatic sorting of crustaceans by Giacomo Picardi, Anna Astolfi, Karthik Seemakurthy, Bradley Hurst, Elena Piana, Petra Bosilj, Marcello Calisti

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A study of motor imagery EEG classification based on feature fusion and attentional mechanisms by Tingting Zhu, Hailin Tang, Lei Jiang, Yijia Li, Shijun Li, Shijun Li, Zhijian Wu, Zhijian Wu

“…IntroductionMotor imagery EEG-based action recognition is an emerging field arising from the intersection of brain science and information science, which has promising applications in the fields of neurorehabilitation and human-computer collaboration. However, existing methods face challenges including the low signal-to-noise ratio of EEG signals, inter-subject variability, and model overfitting.MethodsWe propose HA-FuseNet, an end-to-end motor imagery action classification network. …”
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Research Progress and Applications of Artificial Intelligence in Agricultural Equipment by Yong Zhu, Shida Zhang, Shengnan Tang, Qiang Gao

“…Looking ahead, the convergence of digital twin (DT) technology, edge computing, and big data-driven collaborative optimization is expected to become the core of next-generation intelligent agricultural systems. …”
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The unique role of the associative thalamus in cognitive processing by Bin A. Wang, Shumei Li, Michael M. Halassa, Burkhard Pleger

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A human-centered perspective on research challenges for hybrid human artificial intelligence in lifestyle and behavior change support by Chenxu Hao, Susanne Uusitalo, Caroline Figueroa, Caroline Figueroa, Quirine T. S. Smit, Michael Strange, Wen-Tseng Chang, M. I. Ribeiro, Vanita Kouomogne Nana, Myrthe L. Tielman, Maaike H. T. de Boer

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A CT-based interpretable deep learning signature for predicting PD-L1 expression in bladder cancer: a two-center study by Xiaomeng Han, Jing Guan, Li Guo, Qiyan Jiao, Kexin Wang, Feng Hou, Shunli Liu, Shifeng Yang, Chencui Huang, Wenbin Cong, Hexiang Wang

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Addressing persistent challenges in digital image analysis of cancer tissue: resources developed from a hackathon by Sandhya Prabhakaran, Clarence Yapp, Gregory J. Baker, Johanna Beyer, Young Hwan Chang, Allison L. Creason, Robert Krueger, Jeremy Muhlich, Nathan Heath Patterson, Kevin Sidak, Damir Sudar, Adam J. Taylor, Luke Ternes, Jakob Troidl, Xie Yubin, Artem Sokolov, Darren R. Tyson

“…The National Cancer Institute (NCI) supports numerous research consortia that rely on imaging technologies to study cancerous tissues. To foster collaboration and innovation in this field, the Image Analysis Working Group (IAWG) was created in 2019. …”
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In Silico Perspectives on Triple Negative Breast Cancer: Challenges and Progress by Maham Taqi, Arleen Yousuf, Sidra Shaikh, Faheeda Soomro, Abdul Sattar Qureshi, Kannan RR Rengasamy

“…Future directions advocate for interdisciplinary collaboration, the integration of real-world data, and the development of robust, predictive platforms to optimize treatment strategies and enhance patient outcomes.…”
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Exploring the possibilities of MADDPG for UAV swarm control by simulating in Pac-Man environment by Artem Novikov, Sergiy Yakovlev, Ivan Gushchin

“…The purpose of this study was to determine the effectiveness of MADDPG-trained models in enhancing UAV swarm control by analyzing its adaptability and coordination capabilities in adversarial environments by computer modeling in simplified missions-like 2D environments. …”
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Bone reporting and data system on CT (Bone-RADS-CT): a validation study by four readers on 328 cases from three local and two public databases by Yue Xing, Defang Ding, Shun Dai, Yangfan Hu, Xianwei Liu, Liangjing Lyu, Guangcheng Zhang, Shiqi Mao, Qian Yin, Junjie Lu, Jiarui Yang, Yang Song, Huan Zhang, Chengzhou Li, Weiwu Yao, Jingyu Zhong

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Applications of BCI and VR in cognitive diagnosis and treatment by Xianglong WAN, Anfeng FU, Yiduo YAO, Tiange LIU, Dingna DUAN, Xueguang XIE, Hao YU, Danyang LI, Dong WEN

“…The integration of brain–computer interface (BCI) and virtual reality (VR) technologies offers innovative solutions for cognitive diagnosis and treatment. …”
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Characterizing the Nanohertz Gravitational Wave Background Using a t-process Power Spectral Density by Shashwat C. Sardesai, Joseph Simon, Sarah J. Vigeland

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