ABSTRACT
Rainbow trout (Oncorhynchus mykiss) are currently consumed as live fish, primarily for catering or consumers, as an alternative to salmon in sashimi or dishes. However, Covid-19 has hampered store and restaurant operations. Therefore, developing suitable processing conditions to extend its shelf life, such as online distribution specifications while enhancing the filets' commercial value, would raise its production value. In this study, we investigated the fish filets salted in a 5% salt solution for 2 days and then smoked at 65 degrees C for 4 h under different storage conditions. As result, the higher rate of salt penetration and water loss in the resolved rigor mortis group was associated with tenderization of the meat compared to the rigor mortis group. Thermal-shrinkage and thermal-induced tissue destruction of the smoked fish filets during processing which affects the appearance, flavor, chewiness and overall acceptability. Nevertheless, according to the results of a consumer-type evaluation, the product characteristics of the fish filets from the resolution of rigor mortis group were consistent with those of the rigor mortis group, except for a weaker aroma. Thus, these results explain the relationship between frozen stored fish and the quality of processed products. The economic concept of regulating and distributing scheduling production between raw materials and finished products in the food industry conveys promising findings that will contribute to developing sustainable food processing systems.
ABSTRACT
Unlike SARS-CoV-1 and MERS-CoV, infection with SARS-CoV-2, the viral pathogen responsible for COVID-19, is often associated with neurologic symptoms that range from mild to severe, yet increasing evidence argues the virus does not ex-hibit extensive neuroinvasive properties. We demonstrate SARS-CoV-2 can infect and replicate in human iPSC-derived neurons and that infection shows limited antiviral and inflammatory responses but increased activation of EIF2 signaling following infection as determined by RNA sequencing. Intranasal infection of K18 human ACE2 transgenic mice (K18-hACE2) with SARS-CoV-2 resulted in lung pathology associated with viral replication and immune cell infiltration. In addition, similar to 50% of infected mice exhibited CNS infection characterized by wide-spread viral replication in neurons accompanied by increased expression of chemokine (Cxcl9, Cxcl10, Ccl2, Ccl5 and Ccl19) and cytokine (Ifn-lambda and Tnf-alpha) transcripts associated with microgliosis and a neuroinflammatory response consisting primarily of monocytes/macrophages. Micro-glia depletion via administration of colony-stimulating factor 1 receptor inhibitor, PLX5622, in SARS-CoV-2 infected mice did not affect survival or viral replication but did result in dampened expression of proinflammatory cytokine/chemokine transcripts and a reduction in monocyte/macrophage infiltration. These results argue that microglia are dispensable in terms of controlling SARS-CoV-2 replication in in the K18-hACE2 model but do contribute to an inflammatory response through expression of pro-inflammatory genes. Collectively, these findings contribute to previous work dem-onstrating the ability of SARS-CoV-2 to infect neurons as well as emphasizing the potential use of the K18-hACE2 model to study immunological and neuropathological aspects related to SARS-CoV-2-induced neurologic disease. IMPORTANCE Understanding the immunological mechanisms contributing to both host defense and disease following viral infection of the CNS is of critical importance given the increasing number of viruses that are capable of infecting and replicating within the nervous system. With this in mind, the present study was undertaken to evaluate the role of microglia in aiding in host defense following experimental infection of the central nervous system (CNS) of K18-hACE2 with SARS-CoV-2, the causative agent of COVID-19. Neurologic symptoms that range in severity are common in COVID-19 patients and understanding immune responses that contribute to restricting neurologic disease can provide important insight into better understanding consequences associated with SARS-CoV-2 infection of the CNS.
ABSTRACT
Wireless sensor networks (WSNs) are an emerging technology in the mobile ad hoc network as used for many different applications. It has several features, such as limited resources and features, smaller packet size, and dynamic multi-hop transmission. During the worldwide COVID-19 pandemic, WSNs have been used to measure social distancing/contact tracking among people. WSNs are also used to monitor the environment as a part of military applications. However, the major challenge that WSN protocols face lies in the limited battery energy for sensor networks. To effectively transfer data onto a base station (or 'sink') and achieve the efficiency of node energy saving, we group neighboring nodes into the same clusters with a K-means++ clustering and reduce the additional data sent to the sink. Therefore, this study proposes an energy-efficient data aggregation mechanism (EDAM) with a spatial correlation among sensor nodes to avoid high correlation among data and reduce node redundancy data transmission. The EDAM depends on the threshold of the first-order radio model's distance to divide the whole WSN area into several clusters. All cluster heads (CHs) construct a data relay transmission link in a WSN. The EDAM is based on the center of the whole sensing area and divides the WSN area into four quadrants. All data is transferred from all sensors to a CH in a quadrant. Then, the CH in each quadrant forwards the data it receives to its next quadrant. The EDAM adopts a quadrant rotation mechanism to aggregate the data in the four quadrants to the base station. The simulation results show that the EDAM reduces redundant data transmissions, averages the power consumption of nodes in the cluster, and obtains a better overall network lifetime than the LEACH, LEACH-C, and DEEC algorithms. © 2021 IEEE.