Self‐Oscillation in Active Wires with Asymmetric Willis‐Type Viscosity by Xingbo Pu, Xiaoyu Hou, Antonio Palermo, Yangyang Chen

“…The design and continuum model suggested can benefit the development of autonomous materials for large‐span structures.…”
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Identifying values and preferences around the choice of analgesia for patients with acute trauma pain in emergency and prehospital settings: using group concept mapping methodology by Robin Christensen, Eva Ejlersen Wæhrens, Marianne Uggen Rasmussen, Kristina Tomra Nielsen, Anders Foehrby Overgaard, Louise Klokker

“…The group concept mapping (GCM) approach was applied to identify, organise and prioritise values and preferences in the example of health professionals’ choice of analgesia for patients with acute trauma pain.Setting Prehospital and emergency care centres in the Nordic countries of Denmark, Norway, Sweden, Finland and Iceland.Participants Acute care health professionals with qualifications to administer analgesic agents to patients in emergency and prehospital settings, including advanced ambulance assistants, rescue officers, paramedics, emergency physicians and emergency nurses, participated in an online survey in which statements were generated (n=40) and structured (n=11) and finally analysed and interpreted in a validation meeting (n=4).Results Using GCM, ideas were generated and structured through online participation. …”
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Theoretical aspects of the process of technical magnetization of rare earth terbium ferrite garnet in the temperature range of magnetic compensation by Sharipov Mirzo, Hayitov Dilshod, Ergasheva Nilufar, Zokirova Zarkhal, Fayzieva Zarifa

“…The article presents an interpretation of the results obtained from studies of the process of technical magnetization of terbium ferrite garnet near the magnetic compensation temperature point, which were carried out within the framework of the thermodynamic theory of domain structures. …”
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From Data to Knowledge: A Knowledge Graph-Guided Framework to Deep Learning for Hyperspectral Image Classification by Runmin Lei, Yuchuan Zhou, Zixuan Wang, Xiang Zhang

“…Unlike previous methods, our framework incorporates a KG to encode explicit symbolic knowledge, providing a structured definition of land cover classes. We employ KG embedding techniques to transform symbolic knowledge into continuous vector representations, seamlessly integrating structured semantics with deep learning models. …”
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Re-use of Building Products in the Netherlands by Loriane Icibaci

“…Accordingly, the data collection and most findings from the qualitative analysis departed from clustering information structured by the preconceived theoretical framework. …”
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Tři proti dualismu: Postkoloniální re/interpretace hybridních postav chicanské femininity by Tereza Jiroutová Kynčlová

“…Reading against the power structures of androcentrism and colonialism, the text analyses Chicana re-evaluations and re-interpretations of these figures so that they no longer function as fundaments of defamation of women and/or their sexuality, but as empowering role-models for contemporary Chicanas. …”
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Segmentation and Classification of Skin Cancer Diseases Based on Deep Learning: Challenges and Future Directions by Abdulrahman Dira Khalaf, Hazlina Hamdan, Alfian Abdul Halin, Noridayu Manshor

“…This study also examines the critical challenges of deploying DL models in clinical practice, covering issues including dataset diversity, model interpretability, and real-world implementation feasibility. …”
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Exploring the needs of stroke patients after discharge from rehabilitation centres in Saudi Arabian communities: An IPA qualitative exploratory study design. by Basema Temehy, Andrew Soundy, Ahmad Sahely, Yasmin Palejwala, Jonathan Heath, Sheeba Rosewilliam

“…This study aims to gain insight into stroke patients' needs after their discharge from rehabilitation centres in Saudi Arabia. An interpretive phenomenological analysis (IPA) study was undertaken using semi-structured interviews. …”
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The Evolution of Generative AI: Trends and Applications by Maria Trigka, Elias Dritsas

“…Generative artificial intelligence (AI) has revolutionized AI by enabling high-fidelity content creation across text, images, audio, and structured data. This survey explores the core methodologies, advancements, applications, and ongoing challenges of generative AI, covering key models such as Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), Diffusion Models, and Transformer-based architectures. …”
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Multimodal Artificial Intelligence in Medicine by Conor S. Judge, Finn Krewer, Martin J. O'Donnell, Lisa Kiely, Donal Sexton, Graham W. Taylor, Joshua August Skorburg, Bryan Tripp

“…Multimodal transformer models in health care can effectively process and interpret diverse data forms, such as text, images, and structured data. …”
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Dataset of geoelectrical properties for samples obtained at the Higashi-Aogashima Knoll Caldera hydrothermal field, JapanOpen Science Framework by Yusuke Ohta, Tatsuo Nozaki, Takafumi Kasaya

“…This dataset aims to bridge this gap by offering comprehensive data to aid in the interpretation of resistivity structures and improve rock physics models for seafloor hydrothermal systems. …”
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Unsupervised Clustering and Ensemble Learning for Classifying Lip Articulation in Fingerspelling by Nurzada Amangeldy, Nazerke Gazizova, Marek Milosz, Bekbolat Kurmetbek, Aizhan Nazyrova, Akmaral Kassymova

“…This structured approach enhances the interpretability and robustness of the extracted features, highlighting the importance of lip dynamics as an auxiliary modality in multimodal sign language recognition. …”
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Reading of Meaning in the Space of Sabalan Ardabil by Reza Hemati, Mohammad Zeynali Onari

“…Phenomenological analysis based on an analytical model of the Ardabil Moustakas codes used in different types of signs to interpret. …”
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An explainable AI-based blood cell classification using optimized convolutional neural network by Oahidul Islam, Md Assaduzzaman, Md Zahid Hasan

“…Additionally, performance is further enhanced by experimenting with various architectural structures and hyperparameters to optimize the proposed model. …”
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Subsurface Cavity Imaging Based on UNET and Cross–Hole Radar Travel–Time Fingerprint Construction by Hui Cheng, Yonghui Zhao, Kunwei Feng

“…A large synthetic dataset of irregular subsurface cavity models is used to pre–train a UNET model, enabling it to learn nonlinear mapping, from fingerprints to velocity structures. …”
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Maximizing science communication skills in a primary scientific literature-based cancer biology course: practical implementation methods by Kristen C. Johnson

“…The course utilized Hypothes.is web-based annotations, methods presentations, figure annotations, and structured discussions to promote active engagement with the literature. …”
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A Functional Cognitive Stylistic Study of Online Horoscopes Predictions by Rahma Amer Efleih, Eman Adil Jaafar

“…It employs a functional cognitive stylistic approach to analyze the language of horoscopes, concentrating on how linguistic structures shape meaning and reader interpretation. …”
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Pathogenetic value of cell infiltrate in immunoinflammatory rheumatic diseases by M. Z. Saidov

“…When interpreting immunopathogenesis of rheumatic diseases, all models and schemes adopted in the field of fundamental immunology are used. …”
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Understanding tourists’ ambassador role of their origin places from perspective of residents’ attitudes towards tourists by Juan Bi, Chunxia Gu

“…To delve deeper into this ambassadorial role, this study employed the tripartite model of resident attitude, which bridges the intricate interplay between residents’ cognitive, affective, and conative attitudes towards tourists. 204 U.S. people have been enrolled through Amazon’s Mechanical Turk to finish semi-structured questionnaire about their attitudes towards Chinese outbound tourists. …”
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Enhancing mental health diagnostics through deep learning-based image classification by Lixin Zhang, Ruotong Zeng

“…MedIntelligenceNet integrates multi-modal data fusion, probabilistic uncertainty quantification, hierarchical feature abstraction, and adversarial domain adaptation into a unified model architecture. The Clinical-Informed Adaptation strategy employs structured clinical priors, symbolic reasoning, and domain alignment techniques to address interpretability and robustness concerns in healthcare AI.ResultsEmpirical evaluations conducted on multi-modal mental health datasets demonstrate that our framework achieves notable improvements in diagnostic accuracy, model calibration, and resilience to domain shifts, surpassing baseline deep learning methods.DiscussionThese results underscore the effectiveness of integrating clinical knowledge with advanced AI techniques. …”
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