Unveiling the immoral ramp feature of dissolved oxygen signals with dynamical systems analysis: perspectives for robust soft-sensor development
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Unveiling the immoral ramp feature of dissolved oxygen signals with dynamical systems analysis: perspectives for robust soft-sensor development
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‘Replication games’ test the robustness of social-science studies
- RESEARCH BRIEFINGS
A large-scale assessment of the reproducibility and…
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Longer leukocyte telomere length increases the odds of premature rupture of membranes: a cross-sectional study based on UK Biobank
Mannherz, W. & Agarwal, S. Thymidine nucleotide metabolism controls human telomere length. Nat. Genet. 55, 568–580 (2023).
Yang, Q., Zhang, J. & Fan, Z. Causal association between telomere…
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High-efficiency cellulose acetate/GO/CaCO3 for solar photodegradation of methylene blue
Preparation and characterization of modifying components
Graphite was oxidized to GO using a modified Hummers’ oxidation method; the oxidation was confirmed by X-ray diffraction analysis. Figure 1a shows a sharp peak at…
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Evaluation of open-source robotic-assisted additive manufacturing equipment for additively manufactured three-dimensional curved structure
Ma, Q. et al. Recent 3D and 4D intelligent printing technologies: A comparative review and future perspective. Procedia Comput. Sci. 167, 1210–1219 (2020).
Chotikunnan, R. et al. Robotic arm…
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Why science has a credibility problem — and how to address it
Open-science advocate Brian Nosek is involved in an effort to assess whether the replicability of social-science results can be predicted.Credit: Center for Open Science
As a graduate student in psychology, Brian Nosek co-founded Project…
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Mediating role of alcohol dependence in the associations between adult ADHD symptoms and a wide range of physical comorbidities
Faraone, S. V. et al. Attention-deficit/hyperactivity disorder. Nat. Reviews Disease Primers. 10 (1), 11 (2024).
Ayano, G. et al. Prevalence of attention deficit hyperactivity disorder in…
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Cross-domain multimodal learning for stress-level prediction: a hybrid deep learning framework integrating independent EEG and facial expression datasets
Zhong, P., Wang, D. & Miao, C. EEG-based emotion recognition using regularized graph neural networks. IEEE Trans. Affect. Comput. 11, 1–12. https://doi.org/10.1109/ACCESS.2023.3344476 (2020).
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