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Sebastian, A., Le Gallo, M., Khaddam-Aljameh, R. & Eleftheriou, E. Memory devices…
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The role of cerebral oxygenation in pediatric lower respiratory tract infections based on insights from time domain near infrared spectroscopy tissue oximetry
We conducted an observational case-control study with age and sex-matched groups. Both cases and controls were enrolled among pediatric patients (aged 0–18 years) admitted to the Pediatric Department of Buzzi Children’s Hospital in Milan,…
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Spatiotemporal analyses of the pan-cancer single-cell landscape reveal widespread profibrotic ecotypes associated with tumor immunity
Ethics statement
This study adhered to all relevant ethical regulations. Primary tissue sections used in immunofluorescence studies were obtained with written informed consent from participants and were approved by the local medical ethics…
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A novel machine learning framework for stroke type identification in resource constrained settings with robustness to missing data
This research aimed to develop a robust machine learning model for distinguishing between ischemic (IS) and hemorrhagic (HS) strokes solely using clinical attributes, without relying on neuroimaging data. We addressed key challenges including…
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Dual roles and therapeutic targeting of tumor-associated macrophages in tumor microenvironments
Biswas, S. K., Allavena, P. & Mantovani, A. Tumor-associated macrophages: functional diversity, clinical significance, and open questions. Semin. Immunopathol. 35, 585–600 (2013).
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HIF-1α regulates the proliferation and differentiation of mouse cranial base sphenoid-occipital synchondrosis chondrocytes via PI3K/Akt signaling
Animals
All the animal experiments were approved by the Ethics Committee of the Animal Laboratory of Kunming Medical University (no. Kmmu20231512). The Laboratory Animal Centre at Kunming Medical University provided 1, 2, 4, 6, and 8-week-old,…
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Flame monitoring and anomaly detection in steel reheating furnaces based on thermal video using a hybrid AI computer vision system
The proposed anomaly detection methodology combines machine learning with traditional computer vision techniques, creating a hybrid approach that consists of three processing phases, as illustrated in Fig. 3.
Fig. 3 High-level overview of the…
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An efficient machine-learning framework for predicting protein post-translational modification sites
Hyperparameter optimization
The LightGBM classifier for Khib site prediction requires systematic hyperparameter optimization to achieve optimal predictive performance. This optimization was performed using Optuna 69, a state-of-the-art framework…
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Design of a class E inverter with stabilized output power using artificial neural network for applications in biomedical implants
In practical applications such as biomedical implants, accurately measuring load resistance is often insufficient and it may lead to the addition of extra components in the structure of the wireless transmission system, such as Bluetooth or Wi-Fi…
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Distinguished role of the laser pulse temporal structure on deuteron acceleration
Shaping of a pulse temporally
The SEA laser of ELI-ALPS30 delivers 11 fs, p-polarized pulses to the target, with a temporal contrast exceeding 1011. The temporal shape of a laser pulse can be calculated from the measured spectrum (Fig. 1a) and…
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