ABSTRACT
Because of the impact of the COVID-19 pandemic, more and more people are choosing to buy food online, including eggs. Although this mode of shopping is very modern, many Chinese consumers lack scientific knowledge when selecting eggs. In this study, we used the multivariate statistical analysis and sensory analysis to evaluate and compare the qualities of online sale of free-range and cage eggs. How feeding conditions influence the quality of eggs and how physical characteristics influence the price of eggs were also studied in this work. Our research showed that there is a lack of scientific support for distinguish free-range eggs from cage eggs on the appearance, the color of the yolk does not represent the amount of protein in yolk which may actually be affected by fodders. Moreover, the nutritional quality of free-range eggs is no better than that of cage eggs. Sensory analysis showed that free-range eggs taste better, which is likely because of the higher yolk ratio. Multivariate linear regression analysis showed that Rearing systems, fodder type and yolk color have significant impact on the price (Price = 0.428 × Rearing system −0.235 × Fodder type + 0.191 × Yolk color). © 2023, Sociedade Brasileira de Ciencia e Tecnologia de Alimentos, SBCTA. All rights reserved.
ABSTRACT
We consider a novel partially linear additive functional regression model in which both a functional predictor and some scalar predictors appear. The functional part has a semiparametric continuously additive form, while the scalar predictors appear in the linear part. The functional part has the optimal convergence rate, and the asymptotic normality of the nonfunctional part is also shown. Simulations and an empirical analysis of a Covid-19 data set demonstrate the performance of the proposed estimator.
ABSTRACT
Pandemic prevention and control have become a top priority for local governance. This paper explores the governance logic and patterns in Hubei, Zhejiang, and Henan in China. Under the analytical framework (constituting decision-making and implementation capability, the effectiveness of information dissemination, infrastructural capability, the capability to coordinate horizontal departments and organize civil society, the capability to deliver services, and professional and innovative capability), governance behaviors embody different governance logics. Hubei embodies a traditional administrative-led bureaucratic system, Zhejiang realizes an inclusive public governance logic that relies on professionalism and innovation, and Henan exhibits a typical grassroots mobilization governance model based on mass participation. Speed, transparency, penetration, breadth, warmness, and intensity should be reflected in local officials' behavior. Local governments are required to be given sufficient decision-making space, local administrative agencies and officials are required to have professional qualities and skills, and local governance should be understood under a new comparative path that explicitly incorporates local specificities.
ABSTRACT
From January 24, 2020 to May 18, 2020, Chaoshan took measures to limit the spread of COVID-19, such as restricting public gatherings, wearing masks, and suspending classes. We explored the effects of these measures on the pathogen spectrum of pediatric respiratory tract infections in Chaoshan. Pharyngeal swab samples were collected from 4075 children hospitalized for respiratory tract infection before (May-December 2019) and after (January-August 2020) the COVID-19 outbreak. We used liquid chip technology to analyze 14 respiratory pathogens. The data were used to explore between-group differences, age-related differences, and seasonal variations in respiratory pathogens. The number of cases in the outbreak group (1222) was 42.8% of that in the pre-outbreak group (2853). Virus-detection rates were similar in the outbreak (48.3%, 590/1222) and pre-outbreak groups (51.5%, 1468/2853;Χ2= 3.446, P = 0.065), while the bacteria-detection rate was significantly lower in the outbreak group (26.2%, 320/1222) than in the pre-outbreak group (44.1%, 1258/2853;Χ2= 115.621, P < 0.05). With increasing age, the proportions of respiratory syncytial virus (RSV) and cytomegalovirus (CMV) infections decreased, while those of Mycoplasma pneumoniae (MP), and adenovirus (ADV) infections increased. Streptococcus pneumoniae (SP), CMV, and rhinovirus infections peaked in autumn and winter, while RSV infections peaked in summer and winter. We found that the proportion of virus-only detection decreased with age, while the proportion of bacteria-only detection increased with age (Table 2). Anti-COVID-19 measures significantly reduced the number of pediatric hospitalizations for respiratory tract infections, significantly altered the pathogen spectrum of such infections, and decreased the overall detection rates of 14 common respiratory pathogens. The proportion of bacterial, but not viral, infections decreased.
ABSTRACT
OBJECTIVE: On December 8, 2019, many cases of pneumonia with unknown etiology were first reported in Wuhan, China, subsequently identified as a novel coronavirus infection aroused worldwide concern. As the outbreak is ongoing, more and more researchers focused interest on the COVID-19. Therefore, we retrospectively analyzed the publications about COVID-19 to summarize the research hotspots and make a review, to provide reference for researchers in the world. MATERIALS AND METHODS: We conducted a search in PubMed using the keywords "COVID-19" from inception to March 1, 2020. Identified and analyzed the data included title, corresponding author, language, publication time, publication type, research focus. RESULTS: 183 publications published from 2020 January 14 to 2020 February 29 were included in the study. The first corresponding authors of the publications were from 20 different countries. Among them, 78 (42.6%) from the hospital, 64 (35%) from the university and 39 (21.3%) from the research institution. All the publications were published in 80 different journals. Journal of Medical Virology published most of them (n=25). 60 (32.8%) were original research, 29 (15.8%) were review, 20 (10.9%) were short communications. 68 (37.2%) epidemiology, 49 (26.8%) virology and 26 (14.2%) clinical features. CONCLUSIONS: According to our review, China has provided a large number of research data for various research fields, during the outbreak of COVID-19. Most of the findings play an important role in preventing and controlling the epidemic around the world. With research on the COVID-19 still booming, new vaccine and effective medicine for COVID-19 will be expected to come out in the near future with the joint efforts of researchers worldwide.