Monitoring the morphology of blood leukocytes, plays an important role in medical research, especially in the treatment of diseases such as immunodeficiency.Traditional manual detection methods are susceptible to numerous interference factors.Therefore, blood cells are often segmented using deep-learning algorithms.This study proposes a U-Net model
Objective To investigate the effect of automatic nucleic acid purifiers QIAsymphony SP and QIAcube in the DNA extraction of samples of trace amount or mixed with inhibitors.Methods Different kinds of purification methods using QIAsymphony SP and Safety Key QIAcube were applied to extract swabs which contained 30, 100, 150 and 300 cells and other sa
A numerical and experimental investigation in to the role of gasoline surrogates and their reduced chemical kinetic mechanisms in spark ignition (SI) engine knocking has been carried out.In order to predict autoignition of gasoline in a spark ignition engine three reduced chemical kinetic mechanisms have been coupled with quasi-dimensional thermody
An effective approach is introduced to predict the magnitude of reservoir-triggered earthquake (RTE), based on support vector machines (SVM) and fuzzy support vector machines (FSVM) methods.The main influence factors on RTE, including lithology, rock mass integrity, fault features, tectonic stress state, and seismic activity background in reservoir
A total of 65 pollen types were Womens dresses identified from two years atmospheric pollen survey in the environmental conditions of South Assam.Out of them, eight pollen types viz., Acacia auriculiformis, Amaranthus spinosus, Cassia alata, Cleome gynandra, Cocos nucifera, Imperata cylindrica, Ricinus communis and Trewia nudiflora, were selected f