| 1. |
- Delios, A., et al.
(author)
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Examining the generalizability of research findings from archival data
- 2022
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In: Proceedings of the National Academy of Sciences of the United States of America. - : Proceedings of the National Academy of Sciences. - 0027-8424 .- 1091-6490. ; 119:30
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Journal article (peer-reviewed)abstract
- This initiative examined systematically the extent to which a large set of archival research findings generalizes across contexts. We repeated the key analyses for 29 original strategic management effects in the same context (direct reproduction) as well as in 52 novel time periods and geographies; 45% of the reproductions returned results matching the original reports together with 55% of tests in different spans of years and 40% of tests in novel geographies. Some original findings were associated with multiple new tests. Reproducibility was the best predictor of generalizability-for the findings that proved directly reproducible, 84% emerged in other available time periods and 57% emerged in other geographies. Overall, only limited empirical evidence emerged for context sensitivity. In a forecasting survey, independent scientists were able to anticipate which effects would find support in tests in new samples.
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| 2. |
- Lu, Zhonghai, et al.
(author)
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RUL Estimation for Power Electronic Devices Based on LESIT Equation
- 2023
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In: 2023 PROGNOSTICS AND HEALTH MANAGEMENT CONFERENCE, PHM. - : Institute of Electrical and Electronics Engineers (IEEE). ; , s. 47-54
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Conference paper (peer-reviewed)abstract
- The LESIT equation is a well-known model to estimate the lifetime of power electronic devices. However, the equation is a static lifetime model that can estimate the total lifetime but not the dynamic lifetime over time and the Remaining Useful Lifetime (RUL), because the equation is not related to time or cycle count. In the paper, we first introduce the concept of dynamic lifetime, i.e., lifetime over time, and include time into the equation to allow it to calculate dynamic lifetime, and then propose a simple equation to conduct the RUL estimation assuming linear damage accumulation. In our experiments using aggregated aging tests, we show that the proposed RUL estimation method can fully capture the general linear decreasing trend of RUL, and in most cases, it gives very accurate estimates, where the deviation depends on the accuracy of the original LESIT estimation.
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| 3. |
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| 4. |
- von Eyss, Björn, et al.
(author)
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The SNF2-like helicase HELLS mediates E2F3-dependent transcription and cellular transformation.
- 2012
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In: EMBO Journal. - : Nature Publishing Group. - 0261-4189 .- 1460-2075. ; 31:4, s. 972-985
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Journal article (peer-reviewed)abstract
- The activating E2F-transcription factors are best known for their dependence on the Retinoblastoma protein and their role in cellular proliferation. E2F3 is uniquely amplified in specific human tumours where its expression is inversely correlated with the survival of patients. Here, E2F3B interaction partners were identified by mass spectrometric analysis. We show that the SNF2-like helicase HELLS interacts with E2F3A in vivo and cooperates with its oncogenic functions. Depletion of HELLS severely perturbs the induction of E2F-target genes, hinders cell-cycle re-entry and growth. Using chromatin immmunoprecipitation coupled to sequencing, we identified genome-wide targets of HELLS and E2F3A/B. HELLS binds promoters of active genes, including the trithorax-related MLL1, and co-regulates E2F3-dependent genes. Strikingly, just as E2F3, HELLS is overexpressed in human tumours including prostate cancer, indicating that either factor may contribute to the malignant progression of tumours. Our work reveals that HELLS is important for E2F3 in tumour cell proliferation.
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| 5. |
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- 2019
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Journal article (peer-reviewed)
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