scholarly journals Application of Bayesian phylogenetic inference modelling for evolutionary genetic analysis and dynamic changes in 2019-nCoV

2020 ◽  
Author(s):  
Tong Shao ◽  
Wenfang Wang ◽  
Meiyu Duan ◽  
Jiahui Pan ◽  
Zhuoyuan Xin ◽  
...  
Keyword(s):  
Genetic Analysis ◽  
Mutation Rate ◽  
Large Scale ◽  
Surface Protein ◽  
Entire Genome ◽  
Entire Genome Sequence ◽  
Glycosylation Sites ◽  
Evolutionary Genetic ◽  
Novel Coronavirus ◽  
Bayesian Phylogenetic Inference

Abstract The novel coronavirus (2019-nCoV) has recently caused a large-scale outbreak of viral pneumonia both in China and worldwide. In this study, we obtained the entire genome sequence of 777 new coronavirus strains as of 29 February 2020 from a public gene bank. Bioinformatics analysis of these strains indicated that the mutation rate of these new coronaviruses is not high at present, similar to the mutation rate of the severe acute respiratory syndrome (SARS) virus. The similarities of 2019-nCoV and SARS virus suggested that the S and ORF6 proteins shared a low similarity, while the E protein shared the higher similarity. The 2019-nCoV sequence has similar potential phosphorylation sites and glycosylation sites on the surface protein and the ORF1ab polyprotein as the SARS virus; however, there are differences in potential modification sites between the Chinese strain and some American strains. At the same time, we proposed two possible recombination sites for 2019-nCoV. Based on the results of the skyline, we speculate that the activity of the gene population of 2019-nCoV may be before the end of 2019. As the scope of the 2019-nCoV infection further expands, it may produce different adaptive evolutions due to different environments. Finally, evolutionary genetic analysis can be a useful resource for studying the spread and virulence of 2019-nCoV, which are essential aspects of preventive and precise medicine.

scholarly journals Multi-Objective Optimization of Integrated Civilian-Military Scheduling of Medical Supplies for Epidemic Prevention and Control

Healthcare ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 126
Author(s):  
Hai-Feng Ling ◽  
Zheng-Lian Su ◽  
Xun-Lin Jiang ◽  
Yu-Jun Zheng
Keyword(s):  
Prevention And Control ◽  
Large Scale ◽  
Medical Services ◽  
The Novel ◽  
Multi Objective ◽  
Medical Supplies ◽  
Problem Instances ◽  
Novel Coronavirus ◽  
And Control ◽  
Minimum Ratio

In a large-scale epidemic, such as the novel coronavirus pneumonia (COVID-19), there is huge demand for a variety of medical supplies, such as medical masks, ventilators, and sickbeds. Resources from civilian medical services are often not sufficient for fully satisfying all of these demands. Resources from military medical services, which are normally reserved for military use, can be an effective supplement to these demands. In this paper, we formulate a problem of integrated civilian-military scheduling of medical supplies for epidemic prevention and control, the aim of which is to simultaneously maximize the overall satisfaction rate of the medical supplies and minimize the total scheduling cost, while keeping a minimum ratio of medical supplies reservation for military use. We propose a multi-objective water wave optimization (WWO) algorithm in order to efficiently solve this problem. Computational results on a set of problem instances constructed based on real COVID-19 data demonstrate the effectiveness of the proposed method.

scholarly journals A large-scale genetic analysis reveals an autoimmune origin of idiopathic retroperitoneal fibrosis

2018 ◽  
Vol 142 (5) ◽  
pp. 1662-1665 ◽  
Author(s):  
Davide Martorana ◽  
Ana Márquez ◽  
F. David Carmona ◽  
Francesco Bonatti ◽  
Alessia Adorni ◽  
...  
Keyword(s):  
Genetic Analysis ◽  
Large Scale ◽  
Retroperitoneal Fibrosis ◽  
Idiopathic Retroperitoneal Fibrosis

scholarly journals The Spread of COVID-19 in Nigeria: The Influence of Transportation and Economic Zones

2021 ◽  
pp. 27-35
Author(s):  
Nathaniel O. Ajayi ◽  
Richard O. Awonusika ◽  
Adeniyi S. Ale ◽  
Ayooluwade Ebiwonjumi
Keyword(s):  
High Risk ◽  
Large Scale ◽  
National Policy ◽  
Human Movement ◽  
Health Crisis ◽  
Spatial Spread ◽  
The Status ◽  
The Government ◽  
Novel Coronavirus ◽  
Economic Zones

The novel coronavirus (2019-nCoV) now known as Covid-19 was first detected in the city of Wuhan, China in December 2019. The disease rapidly spread to other cities in China and to other parts of the world. The aim of this study is to investigate the contribution which the economic zones and movement of people into the country and from city to city and State to State within the country have on the spread of the disease in Nigeria. Data of the daily update of Covid-19 occurrence in Nigeria as given by the NCDC Covid-19 Situation report were assembled. The data of the first index in each State between February 27 and March 28, 2020 with the status of whether they were from foreign travel or from within the community was compiled. The results show that economic zones and human movement contribute to the early spread of the disease. The initial spatial spread in Nigeria was observed to follow closely behind the test laboratory distribution pattern. This may suggest that samples from the locations far from the laboratories were not obtained, hence the suggestion for early aggressive country-wide-large scale testing to cover almost everyone should be started very early before the spread is everywhere. The test labs should cover the whole country with the tests made free and mandatory to encourage and force people to come out for it and the restriction protocols should strictly be adhered to. The boarders of the country should be closed early to stop further import of the disease from the high risk countries. When the airports are later re-opened, they should not be to the high-risk countries of the disease. There is also a need for a national policy on responding to and managing any future public health crisis such as Covid-19 pandemic before its occurrence. This policy will help the government to know what to start doing quickly when there is any occurrence. Government should also look inward to mobilize the scientists inside the country by providing research grants purposely to combat the pandemic. Such grants will enable our scientists to make their contribution in addition to the ones made by the scientists outside the country.

scholarly journals SINE jumping contributes to large-scale polymorphisms in the pig genomes

2021 ◽  
Author(s):  
Cai Chen ◽  
Enrico D'Alessandro ◽  
Eduard Murani ◽  
Yao Zheng ◽  
Domenico Giosa ◽  
...  
Keyword(s):  
Genetic Analysis ◽  
Population Genetic ◽  
Large Scale ◽  
Structural Variations ◽  
Population Genetic Analysis ◽  
Protein Coding ◽  
Pig Breeds ◽  
A Genome ◽  
Trait Locus ◽  
And Cluster Analysis

Abstract Background: Molecular markers based on retrotransposon insertion polymorphisms (RIPs) have been developed and are widely used in plants and animals. Short interspersed nuclear elements (SINEs) exert wide impacts on gene activity and even on phenotypes. However, SINE RIP profiles in livestock remain largely unknown, and not be revealed in pigs. Results: Our data revealed that SINEA1 displayed the most polymorphic insertions (22.5% intragenic and 26.5% intergenic), followed by SINEA2 (10.5% intragenic and 9% intergenic) and SINEA3 (12.5% intragenic and 5.0% intergenic). We developed a genome-wide SINE RIP mining protocol and obtained a large number of SINE RIPs (36,284), with over 80% accuracy and an even distribution in chromosomes (14.5/Mb), and 74.34% of SINE RIPs generated by SINEA1 element. Over 65% of pig SINE RIPs overlap with genes, with significant enrichment in the first and second introns of protein-coding and long non-coding RNA genes. Nearly half of the RIPs are common in these pig breeds. Sixteen SINE RIPs were applied for population genetic analysis in 23 pig breeds, the phylogeny tree and cluster analysis were generally consistent with the geographical distributions of native pig breeds in China. Conclusions: Our analysis revealed that SINEA1–3 elements, particularly SINEA1, are high polymorphic across different pig breeds, and generate large-scale structural variations in the pig genomes. And over 35, 000 SINE RIP markers were obtained. These data indicate that young SINE elements play important roles in creating new genetic variations and shaping the evolution of pig genome, and also provide strong evidences to support the great potential of SINE RIPs as genetic markers, which can be used for population genetic analysis and quantitative trait locus (QTL) mapping in pig.

scholarly journals Prediction of Knowledge Management for Success of Franchise Hospitality in a Post-Pandemic Economy

2020 ◽  
Vol 12 (20) ◽  
pp. 8755
Author(s):  
Hsiu-Chin Hsieh ◽  
Xuan-Huynh Nguyen ◽  
Tien-Chin Wang ◽  
Jen-Yao Lee
Keyword(s):  
Knowledge Management ◽  
Large Scale ◽  
Management Practices ◽  
Business Failure ◽  
Direct Result ◽  
Business Climate ◽  
Global Business ◽  
Priority Weights ◽  
Novel Coronavirus

Due to its unpredictability, the novel coronavirus (COVID-19) pandemic has changed the global business climate and commercial management practices in unprecedented ways. As a direct result of the pandemic, the hospitality and tourism sectors have shut down, and business failure rates have occurred exponentially. The franchise hospitality industry has experienced significant impact and challenged a basic understanding of knowledge management (KM) implementation in the face of the COVID-19 outbreak. A strategic KM implementation practice can not only guide a large-scale operation, but also adjust an organization’s performance and competitiveness. The purpose of this study is to examine the influential criteria of success through effective KM implementation and to predict the probability of successful KM in a post-pandemic era. The conceptual framework for KM applies an analytic hierarchical prediction model reliant upon consistent fuzzy preference relations to assist the franchise hospitality sector’s consciousness of the influential criteria. An empirical case study is used to apply pairwise comparisons used to determine the priority weights and two possible outcomes. The case study will assist franchise organizations to analyze whether or not to implement KM, interdict application, or adopt revised actions. This assistance will enhance the success possibility of KM implementation within such a crisis environment. This study uses a case setting by assessing 15 franchises hospitality experts’ opinions in Taiwan relevant to KM implementation.

scholarly journals A Large Scale Genetic Analysis of c-Myc-regulated Gene Expression Patterns

2003 ◽  
Vol 278 (14) ◽  
pp. 12563-12573 ◽  
Author(s):  
Brenda C. O'Connell ◽  
Ann F. Cheung ◽  
Carl P. Simkevich ◽  
Wanny Tam ◽  
Xiaojia Ren ◽  
...  
Keyword(s):  
Gene Expression ◽  
Genetic Analysis ◽  
Large Scale ◽  
Expression Patterns ◽  
Gene Expression Patterns ◽  
Regulated Gene Expression
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