Artificial Intelligence (AI) and Emergency Medicine: Balancing Opportunities and Challenges by Félix Amiot, Benoit Potier

“…However, important challenges exist, ranging from model “hallucinations” and data bias to questions of interpretability, liability, and ethical use in high-stake environments. …”
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Effect of terrestrial nutrient limitation on the estimation of the remaining carbon budget by M. L. De Sisto, M. L. De Sisto, A. H. MacDougall

“…Hence, the addition of nutrients such as nitrogen and phosphorus in land model structures in Earth system models is essential for an accurate representation of the carbon cycle feedback in future climate projections. …”
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BEST PRACTICE IN ENHANCING SOCIO-EMOTIONAL LEARNING IN PRIMARY SCHOOL THROUGH COMPUTATIONAL THINKING by Antoaneta-Firuţa TACEA, Anişoara DUMITRACHE, Beatrice ALMĂŞAN, Dana MANOLACHE

“…It features a detailed example of the working methodology and interpretations of critical situations in digital stories using the computational thinking method – a complete model that can be replicated in a similar educational context.…”
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Explicit and Implicit Knowledge in Large-Scale Linguistic Data and Digital Footprints from Social Networks by Maria Pilgun

“…While explicit knowledge analysis provides structured insights, it may overlook hidden biases, whereas implicit knowledge analysis reveals underlying issues but requires complex interpretation. …”
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Advances in Personalized Cancer Vaccine Development: AI Applications from Neoantigen Discovery to mRNA Formulation by Hyunseung Kong

“…AI-driven strategies also optimize mRNA vaccine constructs and formulations, including secondary structures and nanoparticle delivery systems. We discuss how these AI approaches converge to streamline effective personalized vaccine development, while addressing challenges such as data scarcity, tumor heterogeneity, and model interpretability. …”
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InfoMat: Leveraging Information Theory to Visualize and Understand Sequential Data by Dor Tsur, Haim Permuter

“…InfoMat provides a structured visual perspective on mutual information decompositions, enabling the discovery of new relationships between sequential information measures and enhancing interpretability in time series data analytics. …”
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Neonatal nurses’ experiences with generative AI in clinical decision-making: a qualitative exploration in high-risk nicus by Abeer Nuwayfi Alruwaili, Afrah Madyan Alshammari, Ali Alhaiti, Nadia Bassuoni Elsharkawy, Sayed Ibrahim Ali, Osama Mohamed Elsayed Ramadan

“…A purposive sample of 33 neonatal nurses participated in semi-structured interviews and focus groups. Thematic analysis was used to code and interpret data, supported by an inter-rater reliability of 0.88. …”
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Effect of Water Adsorption on Cation-Surface Interaction Energy in the Na-Mordenite of 5.5 : 1 Si/Al Ratio by Sekou Diaby

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Unravelling Bias: A Sardinian perspective on taxonomic, spatial, and temporal biases in vascular plant biodiversity data from GBIF by Raimondo Melis, Marco Malavasi, Manuele Bazzichetto, Maria Carmela Caria, Giovanni Rivieccio, Agnese Denaro, Elisa Marchetto, Michela Perrone, Martina Livornese, Duccio Rocchini, Simonetta Bagella

“…Road density and NDVI influenced both temporal and taxonomic biases, while topographic roughness affected temporal and spatial biases. Structured data mainly contributed to temporal bias, whereas citizen science data were more associated with spatial bias.Our findings highlight the importance of addressing biases in biodiversity data, particularly those introduced by citizen science, and provide a replicable framework for improving data quality and biodiversity monitoring at both sampling and interpretation stage.…”
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A Study of the Representation of Justice and the Critique of Governmental Power in Letter 45 of Nahj al-Balagha Based on Norman Fairclough\'s Critical Discourse Analysis [In Persia... by Ahmad Arefi, Reza Karimpour Kasin

“…The methodology employs Fairclough’s three-dimensional model, encompassing description (textual analysis), interpretation (discourse production and reception), and explanation (socio-historical context). …”
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Machine learning-assisted design of high-entropy alloys with superior mechanical properties by Jianye He, Zezhou Li, Pingluo Zhao, Hongmei Zhang, Fan Zhang, Lin Wang, Xingwang Cheng

“…The fast changes of this field call for significant practice for materials community to utilize it as a more efficient, accurate and interpretable tool. In this review, we summarize the most promising machine learning models, combined with high-throughput simulation and experimental screening, to predict and fabricate HEAs with desired superb mechanical properties.…”
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Interprofessional Collaboration in the Mental Health Services in Norway by Ellen Andvig, Jonn Syse, Elisabeth Severinsson

“…Finally, we recommend that a range of organisational and administrative models of care be used in order to support improvement work.…”
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Blob velocities and sizes in the Alcator C-Mod scrape-off layer for ohmic and high confinement mode plasmas by A.D. Helgeland, J.M. Losada, J.L. Terry, O.E. Garcia

“…The gas puff imaging data analysis results are interpreted in the framework of a stochastic model that describes the fluctuations as a super-position of uncorrelated blob-like structures. …”
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Between Hegelian and Marxist thought, a reading in referring the debate from philosophizing to plastic performance by Mustafa Abdel Karim Youssef

“…It aims to demonstrate the effectiveness of the dialectical thought of Hegel and Marx, each with their distinct philosophical approach, and their potential application to the realm of visual artistic performance, which encompasses a variety of ideas, manifestations, compositional structures, and execution materials. The study is divided into four chapters. …”
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Genome-wide identification and characterization of DNA enhancers with a stacked multivariate fusion framework. by Yansong Wang, Zilong Hou, Yuning Yang, Ka-Chun Wong, Xiangtao Li

“…Besides, we conducted interpretability analysis of the identified enhancer sequences based on attention weights of EnhancerBERT, a fine-tuned BERT model that provides new insights into exploring the gene semantic information likely to underlie the discovered enhancers in an interpretable manner. …”
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Overreliance on cultural doulas: the paradox of entrusting the communication and care of high-risk migrant women to cultural doulas by Birgitta Essén, Ayanthi Wickramasinghe, Lise Eriksson

“…To resolve this paradox and improve maternal outcomes, the maternity care system must redefine the role of cultural doulas, prioritize professional interpretation services, and implement integrated care models tailored to the evidence based medical needs of migrant women.…”
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Hierarchical embedding attention for overall survival prediction in lung cancer from unstructured EHRs by Domenico Paolo, Carlo Greco, Alessio Cortellini, Sara Ramella, Paolo Soda, Alessandro Bria, Rosa Sicilia

“…Our methodology is interpretable because the hierarchical attention mechanism highlights the information in EHRs that the model considers the most crucial during the decision-making process. …”
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How EEG preprocessing shapes decoding performance by Roman Kessler, Alexander Enge, Michael A. Skeide

“…While uncorrected artifacts may increase decoding performance, this comes at the expense of interpretability and model validity, as the model may exploit structured noise rather than the neural signal.…”
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Heart Sound Classification Based on Multi-Scale Feature Fusion and Channel Attention Module by Mingzhe Li, Zhaoming He, Hao Wang

“…However, the performance of CNN models, heavily influenced by their parameters and structures, still has room for improvement. …”
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A novel seismic inversion method based on multiple attributes and machine learning for hydrocarbon reservoir prediction in Bohai Bay Basin, Eastern China by Zongbin Liu, Jianmin Zhu, Bo Tian, Rui Zhang, Yongheng Fu, Yuan Liu, Lixin Wang

“…However, traditional inversion techniques struggle with complex subsurface structures because of the low frequency seismic data. …”
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