Sci Rep. 2026 May 21. doi: 10.1038/s41598-026-52522-7. Online ahead of print.

ABSTRACT

Traditional Chinese paintings pose unique challenges for computational emotion analysis due to culturally-specific aesthetic principles that differ fundamentally from Western art paradigms. This study proposes an attention-guided CNN-Transformer hybrid model that integrates local feature extraction with global contextual modeling. The architecture employs spatial, channel, and cross-attention modules to fuse CNN-extracted brushwork details with Transformer-captured compositional relationships. Evaluated on a dataset of 7842 traditional Chinese paintings across seven emotion categories-tranquility, melancholy, vigor, elegance, desolation, joy, and solemnity-the model achieves 91.4% classification accuracy. Comparative experiments demonstrate superior performance over ResNet-101, DeiT-B, and ConvNeXt-T baselines. Ablation studies confirm the critical role of the attention-guidance module, while visualization analysis reveals alignment with traditional art theory principles. These results provide empirical support for domain-specific architectural designs in culturally-sensitive visual analysis within Han Chinese literati painting traditions, with generalizability to broader artistic domains constituting an important direction for subsequent investigation.

PMID:42168395 | DOI:10.1038/s41598-026-52522-7

Ann Sci. 2026 May 6:1-27. doi: 10.1080/00033790.2026.2638942. Online ahead of print.

ABSTRACT

This essay investigates the reception of William Gilbert's foundational work on magnetism, De Magnete, through a comprehensive analysis of extant copies of its early modern printed editions (1600, 1628, 1629, 1633). By employing a hybrid methodology combining quantitative and qualitative approaches to readers' annotations, this study charts patterns of engagement with Gilbert's text across diverse contexts and intellectual traditions. While celebrated for its experimental innovations and practical applications in navigation, it also elicited cosmological and humanist interests. Statistical analyses of readers' marks demonstrate a skewed distribution of engagement, with the majority of annotations concentrated in a small fraction of extant copies. This study moreover contributes to the historiography of early modern science by illustrating the methodological potential of combining large-scale digital datasets with close textual analysis, advocating for more systematic, collaborative approaches to the history of reading and book culture. In addition, a near-complete census of copies of De magnete is provided.

PMID:42091227 | DOI:10.1080/00033790.2026.2638942

Int J Archit Comput. 2024 Jan 13;22(3):277-294. doi: 10.1177/14780771231220903. eCollection 2024 Sep.

ABSTRACT

This article elaborates a computationally enabled approach to the study of design methods in 1960s North America. This entails the construction, visualization, and analysis of a digital database built from entries of the Design Methods Group Newsletter, a periodical published monthly between 1966-71. The article proposes a workflow that combines methods such as topic modeling and network visualization to activate the Newsletter as a source of anecdotal and informal knowledge, and to enable histories of connectivity and transaction that may elude archival investigations on singular actors or institutions. In doing so, the article contributes arguments and techniques for the study of design methods as a complex social, technical, and intellectual meshwork. The meshwork brings discursive themes, techniques, actors, and institutions at the same level of investigation and allows for layered cartographies of the field that advanced the systematic study of design and ushered in the development of early computer applications.

PMID:42038932 | PMC:PMC13104777 | DOI:10.1177/14780771231220903

PLoS One. 2026 Apr 21;21(4):e0347253. doi: 10.1371/journal.pone.0347253. eCollection 2026.

ABSTRACT

The overseas reception of classical literature through online platforms presents a critical lens for understanding cross-cultural dynamics in the digital age. This study investigates the overseas reception of English translations of Journey to the West by analyzing a corpus of 1,795 reviews from Amazon and Goodreads to examine temporal dynamics, cross-platform sentiment patterns, and topic modeling. The analysis covers four celebrated translators: Arthur Waley, Anthony C. Yu, Julia Lovell, and W.J.F. Jenner. Methodologically, we developed a hybrid sentiment lexicon by integrating a domain sentiment lexicon with AFINN, NRC, and VADER through weighted fusion, addressing the limited adaptability of general sentiment lexicons in translated literature analysis. LDA modeling was further applied to enable data-driven theme extraction. Key findings reveal a consistent year-on-year increase in review counts across all translations. Notably, despite an overall positive sentiment, significant cross-platform divergences emerge, reflecting the distinct evaluative mechanisms of digital platforms. Thematic analysis identifies three central reader concerns: translation quality, plot acceptance, and character portrayal, with plot acceptance exhibiting markedly higher negativity. Furthermore, translator-level analysis reveals performance variations across these themes. This study demonstrates how digital platforms reconfigure the valuation of literary translation, and pioneers a methodological framework for capturing the dynamic interplay between reader perception, media infrastructure, and textual mobility, offering new pathways for digital humanities research in translation studies.

PMID:42013105 | PMC:PMC13098970 | DOI:10.1371/journal.pone.0347253

Med Health Care Philos. 2026 Apr 16. doi: 10.1007/s11019-026-10347-1. Online ahead of print.

ABSTRACT

The uptake of social science methods by bioethics significantly expanded its methodological spectrum, raising new theoretical, methodological, and practical questions. Recently, we are witnessing another trend, adding advanced data science methods to bioethics' toolkit to aid, for example, in online data analysis, support scholarly writing, and inform clinical ethics. This article explores the emerging field of Digital Bioethics across its dimensions by analysing the tangled relationship between topics and methods, highlighting intersections between Digital Bioethics and Bioethics of the Digital, and advocating for a methods-based definition of the field. The use of advanced data science methods within bioethics must be interpreted in the context of the use of Artificial Intelligence (AI) in health care. At the same time, it presents unique opportunities and challenges. Defining, and thus demarcating, Digital Bioethics can create support for the new field but also requires navigating trade-offs. To do so, we take four kindred academic fields as points of comparison (Digital Humanities, Experimental Philosophical Bioethics, computational medicine and digitised biology) to analyse what each of them teaches for critically assessing and further developing Digital Bioethics. The article discusses potential pitfalls and concludes with recommendations on how the field can fully develop its potential to promote bioethical research and argument. Furthermore, the article discusses how a critical reflection of the use of AI methods within bioethics itself will also contribute to the ethical oversight of increasingly AI-driven branches of healthcare.

PMID:41989660 | DOI:10.1007/s11019-026-10347-1