No abstract

ObjectiveThis study was to evaluate effects of mixed plant oils (identified as mixed oil 1 [MO1] and mixed oil 2 [MO2]) on performance, serum composition, viscera percentages, meat quality, and fatty acid deposition of broilers.MethodsA total of 126 one-day-old Arbor Acres male broiler chicks (weighing 44.91± 0.92 g) were randomly allocated to 1 of 3 treatments with 7 replicate pens per treatment (6 broilers per pen). Dietary treatments included a corn-soybean basal diet supplemented with 3% soybean oil (CTR), basal diet with 3% MO1 (a mixture of 15% corn oil, 10% coconut oil, 15% linseed oil, 20% palm oil, 15% peanut oil and 25% soybean oil; MO1), or basal diet with 3% MO2 (a combination of 50% MO1 and 50% extruded corn; MO2). The trial consisted of phase 1 (d 1 to 21) and phase 2 (d 22 to 42).ResultsCompared to CTR, broilers fed MO (MO1 or MO2) had greater (p<0.05) average daily gain in phase 1, 2, and overall (d 1 to 42), redness in thigh muscle, concentrations of serum glucose, serum albumin, saturated fatty acids (SFA) and n-6/n-3 polyunsaturated fatty acids (PUFA) ratio in breast muscle, while these broilers also showed lower (p≤0.05) drip loss and concentrations of C18:3n-3 and PUFA/SFA ratio in breast muscle. Broilers fed MO2 had higher (p<0.05) liver percentage, while broilers fed MO1 had lower (p≤0.05) feed conversion ratio in phase 1 and increased (p<0.05) contents of C18:2n-6, C20:5n-3, C22:6n-3, and n-3 PUFA in breast muscle compared to CTR.ConclusionMixed plant oils had positive effects on performance, serum parameters, meat quality, liver percentage and fatty acid deposition in broilers, which indicates they can be used as better dietary energy feedstocks than soybean oil alone.

Virtual reality technology is a new media technology. On the one hand, virtual reality technology has brought a brand-new impact on people's production and life. On the other hand, our understanding of virtual reality is far from enough, and its derived social problems, Academic issues and ethical issues need to be further explored, and use correct theories to promote and guide the further development of technology. In the process of market segmentation being considered as the core concept of marketing strategy, many scholars at home and abroad have conducted a lot of research on market segmentation. Based on the research results at home and abroad, this paper uses factor analysis, cluster analysis, comparative analysis, and inductive deduction as research methods to establish an analysis model for the application of VR technology in marketing from the perspective of customer experience. Based on the application of VR technology in marketing from the perspective of customer experience, the research results show that after using the research method of this article, the data error rate is significantly controlled, and the data error rate is maintained within five percentage points, compared with previous studies The method data accuracy rate is increased by 15%, and the data accuracy rate is higher, which has certain practical value.

Advancements in IoT technology contribute to the digital progress of health science. This paper proposes a cloud-centric IoT-based health management framework and develops a system prototype that integrates sensors and digital technology. The IoT-based health management tool can collect real-time health data and transmit it to the cloud, thus transforming the signals of various sensors into shared content that users can understand. This study explores whether individuals in need tend to use the proposed IoT-based technology for health management, which may lead to the new development of digital healthcare in the direction of sensors. The novelty of this research lies in extending the research perspective of sensors from the technical level to the user level and explores how individuals understand and adopt sensors based on innovatively applying the IoT to health management systems. By organically combining TAM with MOA theory, we propose a comprehensive model to explain why individuals develop perceptions of usefulness, ease of use, and risk regarding systems based on factors related to motivation, opportunity, and ability. Structural equation modeling was used to analyze the online survey data collected from respondents. The results showed that perceived usefulness and ease of use positively impacted adoption intention, Perceived ease of use positively affected perceived usefulness. Perceived risk had a negative impact on adoption intention. Readiness was only positively related to perceived usefulness, while external benefits were positively related to perceived ease of use and negatively related to perceived risk. Facilitative conditions were positively correlated with perceived ease of use and negatively correlated with perceived risk. Technical efficacy was positively related to perceived ease of use and perceived usefulness. Overall, the research model revealed the cognitive mechanism that affects the intention of individuals to use the system combining sensors and the IoT and guides the digital transformation of health science.

The accelerated development of the tertiary industry is the inevitable result of productivity improvement and social progress. Vigorously developing the tertiary industry is conducive to enhancing the stamina of agricultural production, promoting the socialization and professionalization of industrial and agricultural production, optimizing the production structure, promoting the full development of the market, and alleviating employment pressure so as to promote the sustained, rapid, and healthy development of the entire economy. Microenterprises are one of the carriers for the development of the tertiary industry. Microenterprises can effectively alleviate the country’s increasingly serious employment problems. However, with the saturated operation of microenterprises, the competition of microenterprises is becoming more and more intense. Small- and medium-sized enterprises are under the pressure of competition in terms of manpower, location, consumption level, and supply of goods. At the same time, small- and medium-sized enterprises are also facing problems such as high operating pressure, rising costs, financing difficulties, and heavy taxes and fees. In this environment, if small enterprises want to maintain long-term development, they must adapt to new forms and take active measures. Small- and medium-sized enterprises must use flexible and diverse forms of employment, actively adjust the industrial structure, vigorously develop the tertiary industry, and absorb more employed labor. The purpose of this paper is to study the use of IOT big data to optimize and upgrade the governance scheme of microenterprises. The purpose is to improve the governance effect of microenterprises and promote the development of microenterprises. This paper proposes optimal governance based on the collaborative algorithm and Pareto algorithm and conducts governance evaluation in multiple aspects of microenterprises, respectively. After obtaining the relationship with profit maximization, this paper finally analyzes and summarizes, obtains two optimal schemes, and evaluates and compares these two schemes with the traditional scheme. The results show that the profit maximization degree of the two schemes can reach 92%. Compared with the traditional scheme, the maximum profit of small enterprises after the implementation of governance has increased by about 30%.