Electropneumatic Oscillators Using Nonlinear Inflatables by Elias De Smet, Lorenzo Migliorini, Edoardo Milana, Paolo Milani, Benjamin Gorissen

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Improved dilation CapsuleNet for motor imagery and mental arithmetic classification based on fNIRS by Yu Li, Tao Xu, Junhua Li, Feng Wan, Hongtao Wang

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Fundamental theory and cutting-edge applications of TENGs by Xilong Kang, Pengbo Li, Daniil Yurchenko, Shuge Dai, Junlei Wang

“…Based on these two characteristics, TENGs can be used to develop new high-voltage power sources and interface probe applications. …”
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Rational Construction of Nano-Scaled FeOOH/NiFe-LDH for Efficient Water Splitting by Juan Yu, Xiubing Fu, Haoqi Wang, Shun Lu, Bing Li

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Ready for departure: Factors to adopt large language model (LLM)-based artificial intelligence (AI) technology in the architecture, engineering and construction (AEC) industry by Seokjae Heo, Seunguk Na

“…The architecture, engineering, and construction (AEC) industry is being transformed by Large Language Model (LLM)-based Artificial Intelligence (AI) technologies like ChatGPT. This study analyses factors influencing the intention to use LLM-based AI technologies among construction professionals using an extended Unified Theory of Acceptance and Use of Technology (UTAUT) model. …”
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Multimodal Model for Automated Pain Assessment: Leveraging Video and fNIRS by Jo Vianto, Anjitha Divakaran, Hyungjeong Yang, Soonja Yeom, Seungwon Kim, Soohyung Kim, Jieun Shin

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Recent Advances in Bioresorbable Biomedical Applications: From Materials to Devices by Do Yun Park, Hye‐Min Lee, Su‐Hwan Kim, Youngmin Sim, Yoojin Kang, Gyu‐rim Jang, Sara Kim, Kyeongha Kwon, Hanjun Ryu

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Simultaneous EEG-fNIRS Data Classification Through Selective Channel Representation and Spectrogram Imaging by Chayut Bunterngchit, Jiaxing Wang, Zeng-Guang Hou

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Automatic Speech Recognition Training Software for Joint Terminal Attack Controller Close Air Support Requests by Logan Gisick, Henry Phillips, Charles Newton

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Biomimetic Microstructured Scaffold with Release of Re‐Modified Teriparatide for Osteoporotic Tendon‐to‐Bone Regeneration via Balancing Bone Homeostasis by Chengzhong Xu, Sijie Qiu, Zhigen Yuan, Chongyin Qiu, Wenyu Xu, Jialiang Guo, Gen Wen, Shuai Liu, Wenjuan Yan, Haibing Xu, Honghao Hou, Dehong Yang

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Are Treatment Services Ready for the Use of Big Data Analytics and AI in Managing Opioid Use Disorder? by Matthew Amer, Rosalind Gittins, Antonio Martinez Millana, Florian Scheibein, Marica Ferri, Babak Tofighi, Frank Sullivan, Margaret Handley, Monty Ghosh, Alexander Baldacchino, Joseph Tay Wee Teck

“… In this viewpoint, we explore the use of big data analytics and artificial intelligence (AI) and discuss important challenges to their ethical, effective, and equitable use within opioid use disorder (OUD) treatment settings. …”
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SMANet: A Model Combining SincNet, Multi-Branch Spatial—Temporal CNN, and Attention Mechanism for Motor Imagery BCI by Danjie Wang, Qingguo Wei

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Aerosol Jet Printing for Neuroprosthetic Device Development by Lander De Waele, Massimo Di Pietro, Stefano Perilli, Emanuele Mantini, Giulio Trevisan, Michela Simoncini, Massimo Panella, Viviana Betti, Matteo Laffranchi, Dante Mantini

“…Aerosol jet printing (AJP) technology has emerged as a transformative tool in neuroprosthetic device development, offering high accuracy and versatility in fabricating complex and miniaturized structures, which are essential for advanced neural interfaces. This review explores the fundamental principles of AJP, highlighting its unique aerosol generation and concentrated deposition mechanisms, which facilitate the use of different materials on a variety of substrates. …”
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Investigating on Creating a Software Application for an On-Screen Explanatory Dictionary by Валентина Плескач, Романас Тумасоніс, Назар Єсипчук, Олег Калмиков, Аліна Акімова

“…The research employs an analysis of modern technologies for developing on-screen explanatory dictionaries, including the use of natural language processing (NLP) platforms, artificial intelligence (AI), machine learning, and adaptive user interface technologies. …”
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Traumatic Brain Injury: Novel Experimental Approaches and Treatment Possibilities by Kristina Pilipović, Tamara Janković, Jelena Rajič Bumber, Andrej Belančić, Jasenka Mršić-Pelčić

“…Brain–machine interfaces enable brain-device communication to restore lost motor or neurological functions, while virtual rehabilitation and neuromodulation use virtual and augmented reality as well as brain stimulation techniques to improve rehabilitation outcomes. …”
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Harnessing an Artificial Intelligence–Based Large Language Model With Personal Health Record Capability for Personalized Information Support in Postsurgery Myocardial Infarction: D... by Ting-ting Yang, Hong-xia Zheng, Sha Cao, Mei-ling Jing, Ju Hu, Yan Zuo, Qing-yong Chen, Jian-jun Zhang

“…The interviews were audio-recorded, transcribed verbatim, and analyzed using Colaizzi method. ResultsFour key themes revealed included: (1) participants’ experiences varied based on digital literacy, prior exposure to health technologies, and individual recovery needs; (2) users appreciated the app’s enhanced accessibility to professional health information, personalized advice tailored to their clinical conditions, and the tool’s responsiveness to health status changes; (3) challenges such as difficulties with digital literacy, usability concerns, and data privacy issues were significant barriers; and (4) nonusers and those who discontinued use primarily cited complexity of the interface and perceived limited relevance of the advice as major deterrents. …”
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Amotivation in AI injected EFL classrooms: Implications for teachers by Dian Toar Y. G. Sumakul, Fuad Abdul Hamied

“…More than 25% of the students experienced amotivation while learning using the AI apps. The qualitative analysis of the interview data revealed three factors that could give rise to amotivation among the students when working with the AI apps: intelligence, user interface, and lesson design. …”
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A Capsule Decision Neural Network Based on Transfer Learning for EEG Signal Classification by Wei Zhang, Xianlun Tang, Xiaoyuan Dang, Mengzhou Wang

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THE PROJECT OF THE EXPERT SYSTEM TO SUPPORTING OF SELECTION OF PARTS AND ASSEMBLIES OF MACHINES by Sebastian RZYDZIK

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SORA: Energy-Efficient Resource Allocation in Open Radio Access Network With Online Learning by Aerman Tuerxun, Akihiro Nakao

“…We validate our method using open-source platforms—OpenAirInterface and FlexRIC—demonstrating its practical effectiveness. …”
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