From materials to applications: a review of research on artificial olfactory memory.

Olfactory memory forms the basis for biological perception and environmental adaptation. Advancing artificial intelligence to replicate this biological perception as artificial olfactory memory is essential. The widespread use of various robotic systems, intelligent wearable devices, and artificial olfactory memories modeled after biological olfactory memory is anticipated.

Glucocorticoid replacement therapy after retroperitoneal laparoscopic unilateral adrenal adenoma resection in patients with non-cortisol secreting tumors: a retrospective cohort study.

Background: Adrenal Cushing's syndrome is caused by an adrenal tumor that produces hypercortisolism and requires glucocorticoid supplementation following resection of the tumour to prevent adrenal insufficiency. Few studies have examined whether glucocorticoid replacement (GR) therapy is required after retroperitoneal laparoscopic unilateral adrenal adenoma resection in patients with non-cortisol secreting tumors, or whether there is any correlation between preoperative biochemical indicators and postoperative cortisol function. This study sought to investigate which patients with non-cortisol secreting tumors required GR therapy after undergoing retroperitoneal laparoscopic resection of unilateral adrenal cortical adenoma.

MXene/WO Sensor Array with Improved SNN Algorithm for Accurate Identification of Toxic Gases.

Gas sensing is pivotal in critical areas such as industrial production and food safety. This study explores the gas classification capabilities of MXene-based gas sensors. Pure VCT MXene and an MXene/WO nanocomposite were synthesized, and MXene-based gas sensors were integrated into a 2 × 2 rudimentary electronic nose array.

Genome-wide analysis of long non-coding RNAs in sugar beet ( L.) under drought stress.

Drought stress is one of the most severe abiotic stresses that restrict global crop production. Long non-coding RNAs (lncRNAs) have been proved to play a key role in response to drought stress. However, genome-wide identification and characterization of drought-responsive lncRNAs in sugar beet is still lacking.

Intelligent vibration signal denoising method based on non-local fully convolutional neural network for rolling bearings.

Convolutional neural networks (CNNs) have been widely applied to machinery health management in recent years, whereas research on data-driven denoising methods is relatively limited. Therefore, this paper proposes a robust denoising method based on a non-local fully convolutional neural network (NL-FCNN). In this neural network, the Leaky-ReLU activation function is employed to maintain the information contained in the negative value of the signal.