Artificial Intelligence in STEM Education: Interactive Handson Environment using Open Source Electronic Platforms by Danny Xie-Li, Esteban Arias Mendez

“… This article describes an interactive methodology to teach Artificial Intelligence (AI) through the contructivism philosophy of learning by doing, using, open source electronic platforms, like Arduino, Snap Circuits, Raspberry Pi and Circuit Playground, with an interactive hands-on approach Workshops. …”
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Visualizing Empathy in Patient-Practitioner Interactions Using Eye-Tracking Technology: Proof-of-Concept Study by Yuyi Park, Hyungsin ­Kim, Hakkyun Kim

“…MethodsWe used mixed methods to understand clinical encounters by comparing 3 quantitative measures: eye-tracking data, scores from the Korean version of the Jefferson Scale of Empathy–Health Professional, and Consultation and Relational Empathy survey scores. …”
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Use of Principal Coordinate Analysis for Measuring GE Interactions in Rain-Fed Durum Wheat Genotypes by Rahmatollah Karimizadeh, Rahim Chinipardaz, Omid Sofalian, Abdolali Ghaffari, Kamal Shahbazi, Tahmasb Hosseinpour, Hassan Ghojog, Mohammad Armion, Ali Asghari

“…The GE interaction was examined using multivariate analysis technique as principal coordinate analysis (PCOA). …”
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Interactive cardiovascular disease prediction system using learning techniques: Insights from extensive experiments by Purnima Pal, Harsh Vikram Singh, Veena Grover, R. Manikandan, Rasoul Karimi, Mohammad Khishe

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Students’ attitude towards physics: Its influence on their performance before and after the use of interactive simulations by Mhamed Ben Ouahi, Mohamed Droui, Elyazid Hida, Taoufik Hassouni, El Mehdi AL Ibrahmi

“…The results show that using interactive simulations based on the 5E in physics teaching and learning has a positive impact on students’ school performance and attitudes. …”
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Co‐Occurrence Patterns Do Not Predict Mutualistic Interactions Between Plant and Butterfly Species by Esteban Menares, Hugo Saíz, Noëlle Schenk, Enrique G. de laRiva, Jochen Krauss, Klaus Birkhofer

“…However, empirical data showed a significant number of interactions that were not detected using co‐occurrence methods. …”
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PhyICNet: Physics-informed interactive learning convolutional recurrent network for spatiotemporal dynamics by Ruohan Cao, Jin Su, Jinqian Feng, Qin Guo

“…Our key takeaway is that the proposed network architecture is capable of learning information correlation of the PDEs model with spatiotemporal data through the input state interaction process. …”
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Unveiling Drug-Drug Interactions in Dental Patients: A Retrospective Real-World Study by Daiana Colibășanu, Sebastian Mihai Ardelean, Florina-Diana Goldiș, Maria-Medana Drăgoi, Sabina-Oana Vasii, Tamara Maksimović, Șerban Colibășanu, Codruța Șoica, Lucreția Udrescu

“…The higher DDIs burden in the 31–60 age group may reflect better knowledge of the drugs they used and accurate reporting of them. <b>Conclusions</b>: Our retrospective study addresses the paucity of dental DDIs real-world data (RWD) studies, pleading for improved drug reconciliation, systematic screening, and age- and comorbidity-tailored strategies to enhance patient safety.…”
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The Third Side of the Coin: Using Google Earth to Visualize Numismatic Data by Kristina Neumann, John Wallrodt

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Exploring Alternative Microservice Decompositions using Data-driven Techniques and LLMs by Ana Martínez Saucedo, J. Andres Diaz-Pace, Hernán Astudillo, Guillermo Rodriguez

“…This enables user-friendly interactions between developers and decomposition tools' data. …”
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Treatment effect estimation with observational network data using machine learning by Emmenegger Corinne, Spohn Meta-Lina, Elmer Timon, Bühlmann Peter

“…However, this assumption is often questionable because units may interact, resulting in spillover effects between them. …”
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Predicting cancer risk using machine learning on lifestyle and genetic data by Mohamed Abdelmoaty Ahmed, Ahmed AbdelMoety, Asmaa Mohamed Ahmed Soliman

“…The findings highlight the effectiveness of boosting-based ensemble models in capturing complex interactions within health data and support their potential use in personalized cancer risk assessment. …”
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Pharmacoepidemiological and drug interaction analysis in the treatment of chronic renal and hepatic failure by O. V. Zhukova, D. S. Fokina, O. V. Ruina, M. V. Khazov

“…Pharmacoepidemiologic analysis allows us to systematize data on medication use. The choice of drugs in order to ensure safe and effective use of the registered drug interactions is facilitated by electronic databases.…”
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Simplified method for estimating settlement of disconnected piled raft foundations based on a finite element approach using interaction factors by Boyoung Yoon, Changho Lee

“…The proposed method is validated using experimental and numerical data from previous studies. …”
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Human-Aware Robot Collaborative Task Planning Using Artificial Potential Field and DQN Reinforcement Learning by Jayesh Prakash, Sam Altnji, Karthick Thiyagarajan, Jogesh S. Nanda, Abhijit Biswas, Abhra Roy Chowdhury

“…This paper presents a novel way for Robot-Robot-Human interaction in a shared workspace for collaborative tasks and uses a multi-modal means of communication that includes hand gestures, voice commands, end-effector gestures, and marker tracking. …”
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Bidirectional Semantic Communication Between Humans and Machines Based on Data, Information, Knowledge, Wisdom, and Purpose Artificial Consciousness by Yingtian Mei, Yucong Duan

“…Large language models (LLMs) and other artificial intelligence systems are trained using extensive DIKWP resources (data, information, knowledge, wisdom, purpose). …”
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Peering into the team role kaleidoscope: the interplay of personal characteristics and verbal interactions in collaborative problem solving by Siem Buseyne, Siem Buseyne, Siem Buseyne, Amelie Vrijdags, Sameh Said-Metwaly, Sameh Said-Metwaly, Thierry Danquigny, Jean Heutte, Fien Depaepe, Fien Depaepe, Annelies Raes

“…To process these audio data, a coding scheme for collaborative problem solving and linguistic inquiry and word count were used. …”
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IFNet: An Interactive Frequency Convolutional Neural Network for Enhancing Motor Imagery Decoding From EEG by Jiaheng Wang, Lin Yao, Yueming Wang

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Human–forest interaction of useful plants in the Wof Ayzurish Forest, North Showa Zone, Ethiopia: cultural significance index, conservation, and threats by Yirefu Tefera, Ermias Lulekal, Bikila Warkineh

“…Therefore, this study aimed to investigate the interaction between humans and useful plants in the Wof Ayzurish Forest, North Showa Zone, Ethiopia, with a focus on their cultural significance, conservation status, and the threats they face. …”
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MicroGlycoDB: A database of microbial glycans using Semantic Web technologies by Sunmyoung Lee, Louis-David Leclercq, Yann Guerardel, Christine M. Szymanski, Thomas Hurtaux, Tamara L. Doering, Takane Katayama, Kiyotaka Fujita, Kazuhiro Aoki, Kiyoko F. Aoki-Kinoshita

“…We have developed a MicroGlycoDB database to provide integrated glycan information on important model microorganisms. The data is described using Semantic Web Technologies, which allow microbial glycan data to be represented in a structured format accessible by machines, thus facilitating data sharing and integration with other resources that catalog features such as pathways, diseases, or interactions. …”
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