Study on the Emission Characteristics in Renewable Energy Combustion under Different Working Conditions of Marine Two-Stroke Diesel Engine

In this paper, MAN 6S35ME-B9 two-stroke diesel engine is taken as the research object.By constructing a detailed combustion reaction mechanism including CH4, C4H10O, nitrides and Air Conditioner Inlet Valve other substances, CHEMKIN-PRO is used to simulate the same fuel mixing ratio and excess air coefficient.Under the condition of 1.5, the tempera

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Olfactory responses of Trissolcus mitsukurii to plants attacked by target and non-target stink bugs suggest low risk for biological control

Abstract In crop systems, successful management of invasive insect herbivores can be achieved through the introduction of exotic biocontrol agents, parasitoids or predators, having a coevolutionary history with the pest.To avert threats to local biodiversity, recent legislations require a risk assessment for the organism to be released.Evaluation o

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Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI features

Abstract Background Multiparametric positron emission tomography/magnetic resonance imaging (mpPET/MRI) shows clinical potential for detection and classification of breast lesions.Yet, the contribution of features for computer-aided segmentation and diagnosis (CAD) need to be better understood.We proposed a data-driven machine learning approach for

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Nanoporous Anodic Alumina Photonic Crystals for Optical Chemo- and Biosensing: Fundamentals, Advances, and Perspectives

Optical sensors are a class of devices that enable the identification and/or quantification of analyte molecules across multiple fields and disciplines such as environmental protection, medical diagnosis, security, food technology, biotechnology, and animal welfare.Nanoporous photonic crystal (PC) structures provide excellent platforms to develop s

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