Effects of Different Sterilization Methods on the Product Characteristics of Sichuan Industrialized Huiguorou

Pasteurization,116 and 121℃sterilization were used in the development of Sichuan Industrial Huiguorou.The sensory,color,texture,lipid oxidation,preservation and flavor substance types and contents of the products were determined,and the effects of different sterilization methods on product characteristics were compared.The results showed that pasteurization was the best way to maintain the edible quality of products,but the storage period of products was very short,so the products could only be quickly distributed and consumed.Sterilization at 116℃and sterilization at 121℃could ensure the shelf life of Huiguorou under non-refrigeration conditions,and effectively solve the problem of long-term storage and transportation of Sichuan meat dishes.However,higher temperature had more or less adverse effect on the flavor of the product,and the product texture was too soft.It suggested that the better way was to sterilize at 116℃,which had less adverse effect on the flavor of the product,and could greatly prolong the non-refrigerated storability of the product,and increase the content of aldehydes and esters,so as to improve the flavor.

Modern Ecological Chicken Raising and Its Research Progress

Modern ecological breeding has the characteristics of protecting the ecological environment,health,nutrition,delicious,and so on.In the ecological breeding of traditional breeding chicken,using non antibiotic breeding,traditional Chinese medicine and other breeding technologies can not only obtain green,non-harmful and safe food products,but also reduce the cost of farmers and provide breeding efficiency This is a sustainable development path.This paper gave a brief overview of this field.

Impact of Simultaneous Activities on Frequency Fluctuations:Comprehensive Analyses Based on Real Measurement Data from the FNET/GridEye

Simultaneous human activities,such as the Super Bowl game,would cause certain impacts on frequency fluctuations in power systems.With the help of FNET/GridEye measurements,this paper aims to give comprehensive analyses on the frequency fluctuations during Super Bowl LIV held on Feb.2,2020,so as to better understand several phenomena caused by simultaneous activities which will help system operations and controls.First,recent developments of the FNET/GridEye are briefly introduced.Second,the frequency fluctuations of the Eastern Interconnection(El),western electricity coordinating council(WECC),and electric reliability council of Texas(ERCOT)power systems during Super Bowl LIV are analyzed.Third,frequency fluctuations of Super Bowl Sunday and ordinary Sundays in 2020 are compared.Finally,the differences of frequency fluctuations among different years during the Super Bowl and their change trends are also given.Furthermore,several possible explanations,including the simultaneity of electricity consumption at the beginning of commercial breaks and the halftime show,the increasing usage of the Internet,and the increasing size of TV screens,are illustrated in detail in this paper.

Adding power of artificial intelligence to situational awareness of large interconnections dominated by inverter‐based resources

Large‐scale power systems exhibit more complex dynamics due to the increasing inte-gration of inverter‐based resources(IBRs).Therefore,there is an urgent need to enhance the situational awareness capability for better monitoring and control of power grids dominated by IBRs.As a pioneering Wide‐Area Measurement System,FNET/GridEye has developed and implemented various advanced applications based on the collected synchrophasor measurements to enhance the situational awareness capability of large‐scale power grids.This study provides an overview of the latest progress of FNET/GridEye.The sensors,communication,and data servers are upgraded to handle ultra‐high density synchrophasor and point‐on‐wave data to monitor system dynamics with more details.More importantly,several artificial intelligence(AI)‐based advanced appli-cations are introduced,including AI‐based inertia estimation,AI‐based disturbance size and location estimation,AI‐based system stability assessment,and AI‐based data authentication.