Given the ever-increasing human impact through land use and climate change on the environment, we crucially need to achieve a better understanding of those factors that influence the questing activity of ixodid ticks, a major disease-transmitting vector in temperate forests.We investigated variation in the relative questing nymph densities of Ixode
Hao-Yuan Lu,1,* Wei Wei,2,* Qi-Wei Chen,1,* Qing-Gui Meng,1 Gao-Hua Hu,1 Xian-Lin Yi,1,3 Xian-Zhong Bai1 1Department of Urology, Tumor Hospital of Guangxi Medical University and Guangxi Cancer Research Institute, Nanning 530021, China; 2Department of Radiology, Tumor Hospital of Guangxi Medical University and Guangxi Cancer Research Institute, Nann
Attention-based encoding and decoding models have been widely used in text abstracts, machine translation and other sequence-to-sequence tasks.In deep learning framework, multi-layer neural network can obtain different feature representations of input data.Therefore, in conventional encoding and decoding model, the performance of the model is usual
This study focuses on predicting and optimizing the quality parameters of cookies enriched with dehydrated peach through the application of Support Vector Machine (SVM) and Artificial Neural Network (ANN) models.The purpose of the study is to employ advanced machine learning techniques to understand the intricate relationships between input paramet
Abstract Background The prognosis of lung metastasis (LM) in patients with chondrosarcoma was poor.The aim of this study was to construct a prognostic nomogram to predict the risk Lounge Tops of LM, which was imperative and helpful for clinical diagnosis and treatment.Methods Data of all chondrosarcoma patients diagnosed between 2010 and 2016 was q