Radiography students' knowledge, attitude and practice relating to infection prevention and control in the use of contrast media injectors in computed tomography by Dania Abu Awwad, Suzanne Hill, Minh Chau, Sarah Lewis, Yobelli Alexandra Jimenez

“…Conclusions Radiography students demonstrate varied comprehension of IPC regarding contrast media equipment, and results suggest need for collaborative efforts between academic institutions and clinical training sites to integrate IPC protocols into curricula and on‐site training.…”
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Light weighted privacy protection ViT inference framework based on secret sharing by MA Min, FU Yu, HUANG Kai, JIA Xiaofeng

“…To address this issue, a highly efficient privacy protection inference framework SViT was proposed. Two edge servers collaborated to execute secure computing protocols based on secret sharing design, such as SSoftmax, SLayerNorm, SGeLU, etc. …”
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UAVs and Blockchain Synergy: Enabling Secure Reputation-Based Federated Learning in Smart Cities by Syed M. Aqleem Abbas, Muazzam A. Khan Khattak, Wadii Boulila, Anis Kouba, M. Shahbaz Khan, Jawad Ahmad

“…The federated learning technique (FL), which can be applied to UAVs, is a promising means of collaboratively training a global model while retaining local access to sensitive raw data. …”
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E-LEARNING AND THE DEVELOPMENT OF INTERCULTURAL COMPETENCE by Meei-Ling Liaw

“…Despite some technical difficulties with the computers, the collaboration between the two groups of students was successful, as can be seen from the positive and complimentary comments from the participants. …”
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GAPO: A Graph Attention-Based Reinforcement Learning Algorithm for Congestion-Aware Task Offloading in Multi-Hop Vehicular Edge Computing by Hongwei Zhao, Xuyan Li, Chengrui Li, Lu Yao

“…Building on this foundation, an attention-based Actor–Critic framework makes joint offloading decisions by intelligently selecting the optimal destination and collaboratively determining the ratios for offloading and resource allocation. …”
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A Computational Approach for Identifying Keywords Related to the 2030 Agenda for Sustainable Development Goals in a Brazilian Higher Education Institution by Ana Carolina Estorani Polessa, Gisele Goulart Tavares, Ruan Medina, Camila Martins Saporetti, Tiago Silveira Gontijo, Matteo Bodini, Leonardo Goliatt, Priscila Capriles

“…Identifying the aspects of sustainable development goals within research projects is crucial for developing strategies and policies that promote collaboration in joint projects, ultimately strengthening research in SDGs. …”
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Integrate computation intelligence with Bayes theorem into complex construction installation: a heuristic two-stage resource scheduling optimisation approach by Jia Zhao, Wenhao Wang, Liyuan Zhang, Yan Ding

“…The complexity of task collaboration among various equipment and nodes during the installation process leads to extended construction duration, resulting in increased construction costs. …”
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Integrating Positron Emission Tomography Combined with Computed Tomography Imaging into Advanced Radiation Therapy Planning: Clinical Applications, Innovations, and Challenges by Subhash Chand Kheruka, Anjali Jain, M. Sharjeel Usmani, Naema Al-Maymani, Noura Al-Makhmari, Huda Al-Saidi, Sana Al-Rashdi, Anas Al-Balushi, Vipin Jayakrishnan, Khulood Al-Riyami, Rashid Al-Sukaiti, Raza Sayani

“…We emphasize the importance of interdisciplinary collaboration and standardized imaging protocols to optimize clinical adoption. …”
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A computational framework for longitudinal medication adherence prediction in breast cancer survivors: A social cognitive theory based approach. by Navreet Kaur, Manuel Gonzales Iv, Cristian Garcia Alcaraz, Jiaqi Gong, Kristen J Wells, Laura E Barnes

“…Nonetheless, we assessed a theory-informed, multi-scale approach to predict adherence, and our findings offer valuable insights to guide the designing of personalized, technology-driven adherence interventions and fostering collaboration among patients, healthcare providers, and caregivers to support long-term adherence.…”
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Federated learning with joint server-client momentum by Boyuan Li, Shaohui Zhang, Qiuying Han

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Agile Software Development in the Cloud Using Citizen Development by Marian STOICA, Alexandru Ionut NITU

“…Thus, designing a hybrid collaboration model between software development teams and Citizen Development becomes essential for the successful implementation of applications created using these technologies. …”
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Quantum Game Theory-Based Cloud Resource Allocation: A Novel Approach by Anjan Bandyopadhyay, Utkarsh Choudhary, Vaibhav Tiwari, Kaushtab Mukherjee, Sapthak Mohajon Turjya, Naim Ahmad, Abid Haleem, Saurav Mallik

“…While prior works have explored classical game theory and auction-based methods, this study is among the first to implement quantum game theory in a practical cloud computing context, propose a resource allocation mechanism that incorporates both fairness and efficiency while leveraging the computational advantages of quantum systems, and highlight the strategic benefits of quantum entanglement in fostering collaboration between competing entities in cloud environments. …”
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Estimating the Severity of Oral Lesions Via Analysis of Cone Beam Computed Tomography Reports: A Proposed Deep Learning Model by Sare Mahdavifar, Seyed Mostafa Fakhrahmad, Elham Ansarifard

“…Clinical significance: Our collaboratively collected and expert-annotated dataset serves as a valuable resource for exploratory research. …”
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Domain-Specific Languages for Algorithmic Graph Processing: A Systematic Literature Review by Houda Boukham, Kawtar Younsi Dahbi, Dalila Chiadmi

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Designing and Evaluating XR Cultural Heritage Applications Through Human–Computer Interaction Methods: Insights from Ten International Case Studies by Jolanda Tromp, Damian Schofield, Pezhman Raeisian Parvari, Matthieu Poyade, Claire Eaglesham, Juan Carlos Torres, Theodore Johnson, Teele Jürivete, Nathan Lauer, Arcadio Reyes-Lecuona, Daniel González-Toledo, María Cuevas-Rodríguez, Luis Molina-Tanco

“…Developing XR applications for cultural heritage requires interdisciplinary collaboration involving strong teamwork and soft skills to manage user requirements, system specifications, and design cycles. …”
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A METHOD OF COMPUTER SIMULATION MODELING OF USER AND BOT BEHAVIOR IN A RECOMMENDATION SYSTEM USING THE GRAPH DATABASE NEO4J by Yelyzaveta Meleshko, Mykola Yakymenko, Viktor Bosko

“…The subject matter of the article is the process of computer simulation modeling of complex networks. The goal is to develop a method of computer simulation modeling of ordinary user and bot behavior in a recommendation system based on the theory of complex networks to test the accuracy and robustness of various algorithms for generating recommendations. …”
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Exploratory study to examine the neuroendocrinological changes in typically developing adults during a music-related participatory practice using computer software by Yosuke Sugiyama, Sanae Tanaka, Sanae Tanaka, Aiko Komagome, Teruko Yuhi, Kazumi Furuhara, Haruhiro Higashida, Takahiro Tsuji, Takahiro Tsuji, Mitsuru Kikuchi, Mitsuru Kikuchi, Mitsuru Kikuchi, Chiharu Tsuji, Chiharu Tsuji

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Integrating human-centric automation and sustainability through the NAToRM framework: A neuromorphic computing approach for resilient industry 5.0 supply chains by Steven M. Williamson, Victor Prybutok

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An Edge Recognition Method for Insulator State Based on Multi-dimension Feature Fusion by Dongmei HUANG, Yueqi WANG, Anduo HU, Jinzhong SUN, Shuai SHI, Yuan SUN, Lingfeng FANG

“…An edge recognition framework for insulator state is constructed using cloud edge collaboration and edge federation collaboration. And a deep learning network integrating multi-dimension feature extraction is designed, which, by using the ResNet101 as the main feature extraction network, uses the Inception module to build the data pooling layer, and embeds the compression incentive module and convolution attention module to extract features from different dimensions. …”
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Overview of Startups Developing Artificial Intelligence for the Energy Sector by Naiyer Mohammadi Lanbaran, Darius Naujokaitis, Gediminas Kairaitis, Gabrielė Jenciūtė, Neringa Radziukynienė

“…The collaboration of AI and QC is poised to transform the energy industry by offering unmatched computational capabilities. …”
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