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Mohammed Saïd Kasttet, Abdelouahid Lyhyaoui, Douae Zbakh, Adil Aramja and Abderazzek Kachkari
Recently, artificial intelligence and data science have witnessed dramatic progress and rapid growth, especially Automatic Speech Recognition (ASR) technology based on Hidden Markov Models (HMMs) and Deep Neural Networks (DNNs). Consequently, new end-to-...
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Jessica A. Gonzalez, Nora M. A. Ponce, Mariana Lozada, Yasmín Daglio, Carlos A. Stortz and Hebe M. Dionisi
The glycoside hydrolase 107 (GH107) family includes fucanase enzymes from only two bacterial phyla, Bacteroidota and Pseudomonadota. The goal of this work was to explore the diversity of putative fucanase enzymes related to this family in organisms of th...
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Guangwei Jia, Sheng Li, Feilong Jie, Yanyan Ge, Na Liu and Fuli Liang
This study employs the Driving Force?Pressure?State?Response (DPSR) framework to establish an evaluation index system for the water resource carrying capacity (WRCC) in the Cele?Yutian Oasis (China). Utilizing the TOPSIS and obstacle degree models, we an...
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Jeonghoon Lee, Jeonghyeon Choi, Jiyu Seo, Jeongeun Won and Sangdan Kim
In the context of hydrological model calibration, observational data play a central role in refining and evaluating model performance and uncertainty. Among the critical factors, the length of the data records and the associated climatic conditions are p...
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Federico Bizzarri, Alessandro Giuliani and Chiara Mocenni
This work investigates how interpersonal interactions among individuals could affect the dynamics of awareness raising. Even though previous studies on mathematical models of awareness in the decision making context demonstrate how the level of awareness...
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