We note that the LLM-NERRE method requires the model to learn both the correct structure of the output data as well as the information to populate into that data structure, particularly when asking the model to output English sentences that can later be parsed to a structured format. To dete...
once two partners meet, they engage in long-term monogamy40. Worms reach full sexual maturity on both male and female functions at a body size of ~ 13 segments41. Before that, they
materials are mined in one country or location, processed to stock or component level at another location or factory and assembled into an array of various products are multiple sites, it is possible to understand the high entry barrier for AM to replace this value chain in the short term. ...
Investigator initiated clinical trials (IICTs) answer relevant questions in clinical practice that may not be addressed by industry. For the first time, two European Countries are compared in terms of IICTs, respective funders and publications, envisaging to inspire others to use similar indicators ...
are “data-free” NNs, i.e. they enforce the initial/boundary conditions (hard BC) via a custom NN architecture while embedding the PDE in the training loss. This soft form technique is described in Raissi et al [146], where the term “physics-informed neural networks” was coined (PINNs...
Don’t let this heart/mind dichotomy fool you. Acknowledge both. Let both inform your choice. Your heart could be your long-term experience guiding you; it could be a feeling you don’t fully understand. Your mind may be evaluating the pros and cons. Or it could be telling you what’...
Early school times fundamentally clash with the late sleep of teenagers. This mismatch results in chronic sleep deprivation posing acute and long-term health risks and impairing students' learning. Despite immediate short-term benefits for sleep, the long-term effects of later starts remain unresolved...
introduced DeepONet, a novel network architecture that effectively approximates the solution operator of linear and nonlinear parametric PDEs. DeepONets have found applications in various fields of physics73,74, including hypersonics with the work of Mao et al.75, who approximated the fluid flow ev...
(2009) recognized the need for a systematic, long-term collection of brain tissue and accompanying behavioral data from dogs, which represent different stages of aging and CCD progression, as it was impossible to obtain an appropriate sample size within a standard project time-frame to search for...
Clustering is a term used for the integrating of similar tasks in a group for their execution. The average budget and deadline for each type scientific workflow is considered as per its execution cost and time. In the proposed CFD strategy, one or more users submit scientific data for executi...