Animals
All experiments involving BMDCs and T cells derived from C57BL/6 mice were approved by the Animal Ethics Committee of the Korea Research Institute of Bioscience and Biotechnology (KRIBB; approval number KRIBB-AEC-23070), and conducted in…
All experiments involving BMDCs and T cells derived from C57BL/6 mice were approved by the Animal Ethics Committee of the Korea Research Institute of Bioscience and Biotechnology (KRIBB; approval number KRIBB-AEC-23070), and conducted in…
This research introduces a novel NGOAI-ANER methodology for the Moroccan dialect. The methodology aims to enhance the precision and efficiency of NER systems for Arabic text. Various procedures, namely word embedding, SALSTM-based classification,…
In this paper, we model the vehicular networking communication resource allocation problem as a task based on multi-agent reinforcement learning using Asynchronous Federated Learning (AFL) combined with Multi-Agent Deep Deterministic Policy…
Yan, Z.-Z. et al. Trends Microbiol. 33, 112–129 (2025).
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Denning, D. W. Lancet Infect. Dis. 24, E428–E438 (2024).
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In the present work, the reduction in the dry flower and biological yields under water deficit stress condition was likely due to the fact that as drought stress intensity increased, photosynthesis decreased because of…
The methodology consists of two parts. First, Study 1 evaluates AI-generated content. Specifically, ChatGPT-4 was used to generated responses to a diverse set of 200 prompts related to common business issues in marketing, customer service, human…
Some numerical optimization methods were employed in this study which are being discussed in the following sections. The JO is a metaheuristic algorithm motivated by the collective behavior of jellyfish. This algorithm is…
In total, 3802 patients were included in this analysis (Supplementary Fig. S1). Baseline demographics and characteristics of the population including their microbiology and outcomes are presented in Tables 1–3. The median age…
This section discusses dataset collection and strategy, feature extraction techniques, machine learning methods for classification, and the recommended approach.
The dataset holds crucial importance in the automated…