Background Hepatocellular carcinoma (HCC), one of the most prevalent cancers worldwide, has a high mortality owing to diagnostic challenges and therapeutic resistance. Lactate metabolism and protein ...

Desert ants and foraging rodents return home along surprisingly direct paths after meandering outward journeys. Traditional path integration models explain this through cumulative vector addition, yet ...

Abstract: Clustering is one of the most important topics in data mining and machine learning. The density peaks clustering (DPC) algorithm is a well-known density-based clustering method that can ...

Abstract: Apple quality classification is an important means to refine apple sales market and promote apple sales. At present, most of classification methods based on a convolutional neural network ...

Library Evolutionary Algorithms for Clustering (LEAC) is a library of genetic algorithms to solve the problem of partition clustering. It includes 22 classification genetic algorithms for solving ...

Between December 2020 and July 2022, we conducted a 52-week, open-label, single-arm trial of 100 adults aged 18–75 with asthma, with 25 patients each on Global Initiative for Asthma 2018 treatment ...

Introduction: The retrospective analysis of continuous glucose monitoring (CGM) timeseries can be hampered by colored and non-stationary measurement noise. Here, we introduce a Bayesian denoising (BD) ...

Visual detection technology is essential for an unmanned surface vehicle (USV) to perceive the surrounding environment; it can determine the spatial position and category of the object, which provides ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The rate of penetration (ROP) is a manifestation of drilling efficiency, and ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. Article Views ...