A preliminary study on the quality of street vended foods around a university in Kunming, China

Abstract

Street vended foods (SVF) is classified as food and beverages prepared and sold on streets and in public places for immediate consumption World Health Organization. Food Safety, T., (1996). Due to its convenience, economy, and pungent flavor, SVF gain a lot of popularity among consumers worldwide, more than 150,000 kinds of SVF are being consumed in China alone (Lin et al., 2017). However, most SVF are prepared in outdoor conditions and commonly encountered with the poor hygiene, improper sanitation, and lack of clean water (Ryu et al., 2011). During the preparation and distribution process of SVF, there is a high risk of foodborne disease, because of the questionable quality of raw materials, poor environment, infrastructure, preparation, and the personal hygiene of the food handlers (Islam et al., 2015; Mepba et al., 2007). Previous studies had shown that some SVF exceeded the local total plate count and total coliforms standards in some countries

Phosphogypsum Resource Utilization Based on Thermodynamic Analysis

“…R2–R7 at different temperatures are presented in Tab. 2 27–29, 31. The thermodynamic results were calculated using the equilib module of FactSage, showing that all the reactions spontaneously occur as expected for R5.…”

Analysis of Two-Color Infrared Polarization Imaging Characteristics for Target Detection and Recognition

“…To ensure spatial alignment and consistency between the two modalities, transformations such as scale, rotation, and translation are applied. For this purpose, a multimodal image registration method [24] utilizing an enhanced SIFT (scale-invariant feature transform) algorithm is employed. The registration process is depicted in Figure 12 below.…”

“…To ensure spatial alignment and consistency between the two Photonics 2023, 10, 1181 10 of 14 modalities, transformations such as scale, rotation, and translation are applied. For this purpose, a multimodal image registration method [24] utilizing an enhanced SIFT (scaleinvariant feature transform) algorithm is employed. The registration process is depicted in Figure 12 In order to achieve registration between visible light and infrared images, it is n sary to address the disparity in perspective resulting from the use of different ima quisition equipment.…”