In autonomous driving scenarios, object occlusion and small object detection have always been significant challenges in the field of computer vision. In order to solve these problems, this paper makes innovative improvements on the basis of the…
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Investigating factors influencing injury severity in crashes involving vulnerable road users in Pakistan
Sun, Z. et al. A hybrid approach of random forest and random parameters logit model of injury severity modeling of vulnerable road users involved crashes. Accid. Anal. Prev. 192, 107235 (2023).
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A geospatial dataset of PFOS and PFOA occurrence records in China’s multi-media environments (2021–2024)
Lindstrom, A. B., Strynar, M. J. & Libelo, E. L. Polyfluorinated Compounds: Past, Present, and Future. Environ. Sci. Technol. 45, 7954–7961 (2011).
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DeWitt, J. C. in…
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Machine learning analysis reveals tumor heterogeneity and stromal-immune niches in breast cancer
Sung, H. et al. Global Cancer Statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 71, 209–249 (2021).
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Serum bone turnover biomarkers in early postoperative period related to the spontaneous resolution of disc herniation
Clinical significance of iRHNP mechanism
We proposed the endoscopic way of laminoplasty in patients with both cervical and lumbar disc heriniations. Clearly in elderly patients with multilevel lumbar stenosis, posterior decompression targets…
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Connectome-constrained ligand-receptor interaction analysis for understanding brain network communication
The full details of the theoretical background and implementation can be found in the Supplementary Information.
Ethical statement
We used the publicly available data that participated in the Human Connectome Project (HCP; S1200), and had complete…
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Autism-related proteins form a complex to maintain the striatal asymmetry in mice
Asymmetry of protein phosphorylation across the bilateral striatum
Given the striatum’s pivotal role in orchestrating multifaceted neural functions and its strong association with ASD, we conducted an investigation into bilateral striatal…
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BamClassifier: a machine learning method for assessing iron deficiency
Data sets
Two different types of real datasets were obtained for the study. The first dataset was obtained from a baseline FBC-ferritin of prospective blood donors across three geographic regions in Ghana namely Northern, Eastern and Central24….
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Precision diagnosis of citrus leaf diseases using image enhancement and nonlinear fuzzy ranking ensemble approach NLFuRBe
The primary finding of this study is that automated systems for detecting citrus diseases can achieve significantly greater accuracy and reliability in real-time scenarios when employing effective ensemble approaches and enhanced picture…
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