This study aims to determine the difference in students’ concept understanding improvement between learning using the Discovery Learning model assisted by digital picture storybooks and conventional learning, as well as to determine the effect of the model on students’ concept understanding in Natural and Social Scienc...
Permission-compatible aggregate and derived outputs plus author-created code accompany the literature-level analysis of 278 author-confirmed working-Include Web of Science publication records, with a 106-record direct-sepsis sensitivity set. A separate PubMed branch provides period-stratified, bounded cross-database co...
Tingting Zhu, Shaoying Liu, Maoting Tang et al.· Zenodo (CERN European Organi...· 0 citations
Slides of the talk given at the FORRT AI in Metascience Online Conference (session T1, Reproducing the record), 29 September 2026. Reproducible is not robust: rerunning the authors' code on their data returns their answer. We replicate the specific claim we rely on, with independent data and software, using AI agents c...
Anne Fouilloux, Jean Iaquinta· Zenodo (CERN European Organi...· 0 citations
Abstract Background Immediate skin-to-skin contact (SSC) is the biological norm for newborns; however, preterm infants are routinely separated from their mothers at birth because of fears of thermal and clinical instability. This practice prioritizes technical stabilization and potentially deprives vulnerable neonates...
Electrical Submersible Pumps (ESPs) are commonly used in high-flow wells for their compact design and reliability, but their replacement requires costly well interventions. Early failure prediction is thus crucial in reducing downtime and improving maintenance strategies. This study introduces a cutting-edge machine...
K. Vadivel, U. G. U, R. Tripati et al.· GOTECH· 0 citations
Reports based on app data often highlight differences between countries: one nationwants this, another wants that. We looked for such differences in NerdSip, a mobile microlearningapp, using a design that guards against finding what we hoped to find. We split 8,089learners at random, wrote eight predictions into a publ...
The results show that classical matrix factorizations are well suited to deliver stable exact solutions to linear systems and modern probabilistic and tensor-based methods are necessary to obtain scalability in modern applications.
Fang-Yue Sun· Theoretical and Natural Scie...· 0 citations
Slides of the talk given at the FORRT AI in Metascience Online Conference (session T1, Reproducing the record), 29 September 2026. Reproducible is not robust: rerunning the authors' code on their data returns their answer. We replicate the specific claim we rely on, with independent data and software, using AI agents c...
Anne Fouilloux, Jean Iaquinta· Zenodo (CERN European Organi...· 0 citations
Today's engineering systems often experience mechanical equipment failures that result in significant economic losses, production downtime, and safety issues. As a result, the prediction of equipment failure is a crucial research area in engineering and data science. This paper explores the potential of statistical rel...
Shicheng Fang· Applied and Computational En...· 0 citations
The vast, sparsely populated, and often ephemeral IPv6 address space makes discovering active addresses challenging. In response, the community has developed over thirty different IPv6 Target Generation Algorithms (TGAs). TGAs learn addressing structure from seed (training) datasets, build a representative model, and g...
Chase Kanipe, Erik C. Rye, Dave Levin et al.· Proceedings of the 2026 ACM...· 0 citations
ABSTRACT Introduction: This study aimed to determine the prevalence of infant formula use, the reasons for its use, and the factors associated with formula feeding among infants aged 0–6 months. Methods: This descriptive, cross-sectional study included 274 mothers with infants aged 0–6 months who were registered at sel...
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
