Enhanced ResNet-50 for garbage classification: Feature fusion and depth-separable convolutions.

As people's material living standards continue to improve, the types and quantities of household garbage they generate rapidly increase. Therefore, it is urgent to develop a reasonable and effective method for garbage classification. This is important for resource recycling and environmental improvement and contributes to the sustainable development of production and the economy.

[Molecular Epidemiology of Astrovirus Infection Among Hospitalized Infants in Kunming City, China, 2013～2014].

We investigated the infection and molecular-epidemiologic characteristics of human astrovirus (HAstV) of hospitalized infants in Kunming City from the year 2013 to 2014.Infection and genotype of HAstV of 63 samples of diarrheal feces and 42 controls were analyzed by reverse transcription-polymerase chain reaction(RT-PCR).The complete genome sequence of a HAstV strain was amplified and sequenced.

Very high frame rate volumetric integration of depth images on mobile devices.

Volumetric methods provide efficient, flexible and simple ways of integrating multiple depth images into a full 3D model. They provide dense and photorealistic 3D reconstructions, and parallelised implementations on GPUs achieve real-time performance on modern graphics hardware. To run such methods on mobile devices, providing users with freedom of movement and instantaneous reconstruction feedback, remains challenging however.