We recently introduced a two-component model of the mechanisms underlying age differences in memory functioning across the lifespan. According to this model, memory performance is based on associative and strategic components. The associative component is relatively mature by middle childhood, whereas the...
A multicomparison one-way ANOVA between the actual responses and a shuffled surrogate of the responses was used for the significance evaluation. e, Average sound prediction accuracy for the 50 sounds in the awake versus the anesthetized (Anesth.) state (n = 11 and 6, P = 0.0002, ...
A process model (PM) represents the graphical depiction of a business process, for instance, the entire process from online ordering a book until the parcel is delivered to the customer. Knowledge about relevant factors for creating PMs of high quality i
Introduction to DashScope API service, as well as the instructions on building an OpenAI-style API for your model. Information about Qwen for tool use, agent, and code interpreter Statistics of long-context understanding evaluation License agreement ... Also, if you meet problems, turn to FAQ ...
A Survey on the Memory Mechanism of Large Language Model based Agents;Zeyu Zhang et al A Survey on Self-Evolution of Large Language Models;Zhengwei Tao et al When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models;Xianzheng Ma et ...
Learning the Dynamics of Future Marine Microgrids Using TemporalConvolutional Neural NetworkXiaoyu Ge 1 , Ali Hosseinipour 2 , Saskia Putri 3 , Faegheh Moazeni 4 , Javad Khazaei 5,∗Abstract—Medium-voltage direct-current (MVDC) ship-board microgrids (SMGs) are the state-of-the-art ...
The online computational burden of linear model predictive control (MPC) can be moved offline by using multi-parametric programming, so-called explicit MPC. The solution to the explicit MPC problem is a piecewise affine (PWA) state feedback function defined over a polyhedral subdivision of the set...
Instead of updating thefull model in each training round, ProFL f i rst trains the front blocksand safely freezes them after convergence. Training of the nextblock is then triggered. This process iterates until the training ofthe whole model is completed. In this way, the memory footprintis...
The Materials Genome Initiative (MGI) advanced a new paradigm for materials discovery and design, namely that the pace of new materials deployment could be accelerated through complementary efforts in theory, computation, and experiment. Along with numerous successes, new challenges are inviting researche...
The more positive one's attitude, subjective norms, and PBC, the greater his/her behavioral intention (Ajzen, 1991; Lim et al., 2022). Attitude is the evaluation of an indivi- dual's likes or dislikes towards performing a specific behavior; subjective norms refer to the social pressure ...