Sep 2026· Journal of Hazards, Risk and Resilience· 0 citations· 44 references
Abstract
Public media communication, particularly through newspapers, plays a critical role in shaping public awareness, governmental response, and remediation efforts following large-scale crises, including nuclear power plant accidents. Because children are biologically more vulnerable to the effects of ionizing radiation, understanding how media narratives include children following nuclear events is especially important. This study employed a novel multilingual computational approach to analyze newspaper coverage following the Chernobyl (1986) and Fukushima (2011) accidents in Russian and Japanese. Using structural topic modeling (STM), we examined dominant themes related to children, nuclear events, and thyroid-related health concerns across both contexts. The analysis identified four topics in the Russian-language newspaper and six topics in the Japanese newspaper. Themes in the Russian-language newspaper focused more on the geographical environment, affected populations, and disease, while the Japanese newspaper emphasized health management, surveys, peace education, the Fukushima nuclear disaster, radiation, and Chernobyl, showcasing specific cultural emphasis in media reporting. Coverage of the later accident drew explicitly on the earlier one, whereas no comparable precedent was available at the time of Chernobyl, indicating an asymmetry in the information environment available to support protective action. Although the small and uneven corpus limits generalizability, the study demonstrates the exploratory value of multilingual STM for comparing nuclear-disaster reporting across languages and historical contexts.
Supporting data, adapters, predictions and code for the article *Low-Cost LoRA Fine-Tuning of Small Language Models for Multi-Step Arithmetic Reasoning* by Jake O'Grady, Asena Isik Gürhan, Chee Fong Ting and Effirul Ramlan (University of Galway). We generated 20,000 GSM8K-derived arithmetic problems with step-by-step s...
O'Grady, Jake, Gürhan, Asena Isik, Chee, Fong Ting et al.· Zenodo (CERN European Organi...· 465 citations
The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.
Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al.· IEEE Transactions on Softwar...· 178 citations· ⚡14
Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.
M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al.· e-Informatica Software Engin...· 157 citations· ⚡17
This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.
Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al.· Empirical Software Engineeri...· 127 citations· ⚡15
The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al.· Journal of Systems and Softw...· 111 citations· ⚡8
Objective There is dearth of information on the timeliness of antenatal care (ANC) uptake. This study aimed to determine the timely ANC uptake by a medically trained provider (MTP) as per the World Health Organization (WHO) recommendations and the country guideline. Methods Cross-sectional survey was done with 2,731 wo...
B. Sarker, Musfikur Rahman, T. Rahman et al.· PLoS ONE· 89 citations· ⚡7