Recent studies on parameter-efficient fine-tuning (PEFT) have introduced effective and efficient methods for fine-tuning large language models (LLMs) on downstream tasks using fewer parameters than required by full fine-tuning.Low-rank decomposition adaptation (LoRA) significantly reduces the parameter count to 0.03% of that in full fine-tuning, ma
Abstract Quantum correlation often refers to correlations exhibited by two Water Pumps or more local subsystems under a suitable measurement.These correlations are beyond the framework of classical statistics and the associated classical probability distribution.Quantum entanglement is the most well-known of such correlations and plays an important
The magnetotelluric response function can be severely disturbed by cultural electromagnetic noise.The preselection strategy is Fibre Disc one of the effective ways to remove the influence of noise when calculating the response function.This study proposed three new parameters (the amplitude ratio predicted amplitude ratio and linear coherence (PLco
ObjectiveTo investigate diagnostic approaches for preoperative localization of secondary hyperparathyroidism, as well as to give surgeons with precise parathyroid gland localization and imaging so that surgery can be performed safely.MethodsThe clinical data of 710 patients with secondary hyperparathyroidism who underwent surgery in our center from