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Titlebook: Hot Topics in Infection and Immunity in Children VIII; Nigel Curtis,Adam Finn,Andrew J. Pollard Book 2011 The Editor(s) (if applicable) an

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11#
發(fā)表于 2025-3-23 11:21:39 | 只看該作者
Ken B. Waitesk construction between Zurich and Geneva (CH). The Life Cycle Assessment (LCA) method is employed to evaluate and compare the environmental impacts of these three variants. The results indicate that the pneumatic-based SMF variant has the least environmental impact when considering factors such as t
12#
發(fā)表于 2025-3-23 14:14:58 | 只看該作者
13#
發(fā)表于 2025-3-23 19:04:05 | 只看該作者
Inbal Weiss-Salz,Pablo Yagupsky. The analysis of 42 articles provides insights at the intersection of these value chains. The study identifies the decisional variables that will have implications on the industry at large, including the storage form of the fuel and related requirements, the design of the ship and its fuel consumpt
14#
發(fā)表于 2025-3-23 23:53:18 | 只看該作者
15#
發(fā)表于 2025-3-24 04:45:51 | 只看該作者
Mona Al-Dabbagh,Simon Dobsonibility should be considered in future assessments to prevent industrial symbiosis pilot projects from remaining in a preliminary state. Lastly, this research, through the identification of research hotspots and gaps, serves as a valuable roadmap for directing future studies.
16#
發(fā)表于 2025-3-24 07:11:44 | 只看該作者
17#
發(fā)表于 2025-3-24 11:55:07 | 只看該作者
18#
發(fā)表于 2025-3-24 16:49:54 | 只看該作者
Corine E. Delsing,Adilia Warris,Chantal P. Bleeker-RoversAI, ML, and Deep Learning (DL) in predictive analytics and identifying emerging trends like transformers and self-supervised learning, which promise to improve PdM outcomes. Through a structured analysis, this report underscores the evolving landscape of ML applications in PdM, highlighting both cha
19#
發(fā)表于 2025-3-24 21:31:28 | 只看該作者
20#
發(fā)表于 2025-3-25 00:53:07 | 只看該作者
Christina Gagliardo,Lisa Saiman AHP and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods to include both industry practitioners and academic perspectives in the decision-making process. The process involved using AHP to analyze supply chain inefficiencies, with a focus on their impact on yield, harv
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