scholarly journals Quantitative Infection Dynamics of Cafeteria Roenbergensis Virus

Viruses ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 468 ◽  
Author(s):  
Bradford Taylor ◽  
Joshua Weitz ◽  
Corina Brussaard ◽  
Matthias Fischer
Keyword(s):  
Virus Infection ◽  
Time Series Data ◽  
Burst Size ◽  
Giant Virus ◽  
Series Data ◽  
Infection Dynamics ◽  
Giant Viruses ◽  
Cafeteria Roenbergensis

The discovery of giant viruses in unicellular eukaryotic hosts has raised new questions on the nature of viral life. Although many steps in the infection cycle of giant viruses have been identified, the quantitative life history traits associated with giant virus infection remain unknown or poorly constrained. In this study, we provide the first estimates of quantitative infection traits of a giant virus by tracking the infection dynamics of the bacterivorous protist Cafeteria roenbergensis and its lytic virus CroV. Leveraging mathematical models of infection, we quantitatively estimate the adsorption rate, onset of DNA replication, latency time, and burst size from time-series data. Additionally, by modulating the initial ratio of viruses to hosts, we also provide evidence of a potential MOI-dependence on adsorption and burst size. Our work provides a baseline characterization of giant virus infection dynamics relevant to ongoing efforts to understand the ecological role of giant viruses.

scholarly journals Genome-Wide Identification and Characterization of Long Noncoding RNAs Involved in Chinese Wheat Mosaic Virus Infection of Nicotiana benthamiana

Biology ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 232
Author(s):  
Weiran Zheng ◽  
Haichao Hu ◽  
Qisen Lu ◽  
Peng Jin ◽  
Linna Cai ◽  
...  
Keyword(s):  
Virus Infection ◽  
Mosaic Virus ◽  
Nicotiana Benthamiana ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas ◽  
Differentially Expressed ◽  
Genome Wide ◽  
Chinese Wheat

Recent studies have shown that a large number of long noncoding RNAs (lncRNAs) can regulate various biological processes in animals and plants. Although lncRNAs have been identified in many plants, they have not been reported in the model plant Nicotiana benthamiana. Particularly, the role of lncRNAs in plant virus infection remains unknown. In this study, we identified lncRNAs in N. benthamiana response to Chinese wheat mosaic virus (CWMV) infection by RNA sequencing. A total of 1175 lncRNAs, including 65 differentially expressed lncRNAs, were identified during CWMV infection. We then analyzed the functions of some of these differentially expressed lncRNAs. Interestingly, one differentially expressed lncRNA, XLOC_006393, was found to participate in CWMV infection as a precursor to microRNAs in N. benthamiana. These results suggest that lncRNAs play an important role in the regulatory network of N. benthamiana in response to CWMV infection.

scholarly journals Non-bank financial institutions and economic growth: Evidence from Africa’s three largest economies

2017 ◽  
Vol 20 (1) ◽  
Author(s):  
Ronald Rateiwa ◽  
Meshach J. Aziakpono
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Financial Institutions ◽  
Time Series Data ◽  
Bank Lending ◽  
Series Data ◽  
The Sustainable Development ◽  
Long Run ◽  
The Relationship

Background: In order for the post-2015 world development agenda – termed the sustainable development goals (SDGs) – to succeed, there is a pronounced need to ensure that available resources are used more effectively and additional financing is accessed from the private sector. Given that traditional bank lending has slowed down, the development of non-bank financing has become imperative. To this end, this article intends to empirically test the role of non-bank financial institutions (NBFIs) in stimulating economic growth.Aim: The aim of this article is to empirically test the existence of a long-run equilibrium relationship between economic growth and the development of NBFIs, and the causality thereof.Setting: The empirical assessment uses time-series data from Africa’s three largest economies, namely, Egypt, Nigeria and South Africa, over the period 1971–2013.Methods: This article uses the Johansen cointegration and vector error correction model within a country-specific setting.Results: The results showed that the long-run relationship between NBFI development and economic growth is relatively stronger in Egypt and South Africa, than in Nigeria. Evidence in respect of Nigeria shows that such a relationship is weak. The nature of the relationship between NBFI development and economic growth in Egypt is positive and significant, and predominantly bidirectional. This suggests that a virtuous relationship between NBFIs and economic growth exists in Egypt. In South Africa, the relationship is positive and significant and predominantly runs from NBFI development to economic growth, implying a supply-leading phenomenon. In Nigeria, the results are weak and mixed.Conclusion: The study concludes that in countries with more developed financial systems, the role of NBFIs and their importance to the economic growth process are more pronounced. Thus, there is need for developing policies targeted at developing the NBFI sector, given their potential to contribute to economic growth.

Characterization of Time Series Data

2017 ◽  
pp. 211-230
Author(s):  
W. Kulp Christopher ◽  
J. Niskala Brandon
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Series Data

scholarly journals The Role of Technical Innovation and Development of Industrial Sector in Korean International Business

2021 ◽  
Vol 22 (1) ◽  
pp. 55-73
Author(s):  
Ali Mohammed Khalel Al-Shawaf ◽  
Tahira Yasmin
Keyword(s):  
Time Series Data ◽  
Positive Impact ◽  
Generalized Method Of Moments ◽  
Value Added ◽  
Industrial Sector ◽  
Least Square ◽  
Policy Implications ◽  
Series Data ◽  
Significance Level

With the pace of development and competitiveness, innovation plays an important role to capture the market share. Various countries have effective strategies to enhance Research and Development (R&D) and exchange value added products in international market. So, based on this the aim of this research is to examine the role of R&D, industrial design and charges for intellectual property in innovative exports in South Korean economy. Time series data for the period 1998 to 2017, Ordinary Least Square (OLS) and Generalized Method of Moments (GMM) models are used to determine the dynamic interrelationship among the study variables. In summary, the overall results show that there is co-integration rank of in both trace test and value test at 1% significance level. Moreover, OLS and GMM findings depict that there is significant and positive coefficient for ID & RD which represent that they have positive impact on HT. Whereas, the IP displays a negative and significant relationship with high technology exports accordingly. Lastly, the diagnostic tests show that model is stable for the study time period and result is reliable. The current study also suggests some policy implications which can enhance innovative export products of South Korea while enhancing R&D.

scholarly journals Boiling Acid Mimics Intracellular Giant Virus Genome Release

2019 ◽  
Author(s):  
Jason R. Schrad ◽  
Jônatas S. Abrahão ◽  
Juliana R. Cortines ◽  
Kristin N. Parent
Keyword(s):  
Mass Spectrometry ◽  
Virus Infection ◽  
Virus Genome ◽  
Life Cycles ◽  
Giant Virus ◽  
Infection Mechanisms ◽  
Specific Proteins ◽  
Giant Viruses ◽  
Molecular Forces

SummarySince their discovery, giant viruses have expanded our understanding of the principles of virology. Due to their gargantuan size and complexity, little is known about the life cycles of these viruses. To answer outstanding questions regarding giant virus infection mechanisms, we set out to determine biomolecular conditions that promote giant virus genome release. We generated four metastable infection intermediates in Samba virus (lineage A Mimiviridae) as visualized by cryo-EM, cryo-ET, and SEM. Each of these four intermediates reflects a stage that occurs in vivo. We show that these genome release stages are conserved in other, diverse giant viruses. Finally, we identified proteins that are released from Samba and newly discovered Tupanvirus through differential mass spectrometry. Our work revealed the molecular forces that trigger infection are conserved amongst disparate giant viruses. This study is also the first to identify specific proteins released during the initial stages of giant virus infection.

scholarly journals Phenological Characterization of Desert Sky Island Vegetation Communities with Remotely Sensed and Climate Time Series Data

2010 ◽  
Vol 2 (2) ◽  
pp. 388-415 ◽  
Author(s):  
Willem J.D. Van Leeuwen ◽  
Jennifer E. Davison ◽  
Grant M. Casady ◽  
Stuart E. Marsh
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Remotely Sensed ◽  
Series Data ◽  
Vegetation Communities ◽  
Climate Time Series ◽  
Sky Island

scholarly journals Deposit Money Banks and Economic Growth in Nigeria

2014 ◽  
Vol 5 (1) ◽  
pp. 41-50 ◽  
Author(s):  
Samson Ogege ◽  
Tarila Boloupremo
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Banking System ◽  
Least Square ◽  
Series Data ◽  
Credit Allocation ◽  
Least Square Estimator ◽  
Ordinary Least Square ◽  
Residual Series

This paper examines the effect of deposit money banks intermediation role on economic growth and development in Nigeria. The main objective of the research was to ascertain the extent to which sectorial credit allocation by deposit money banks have influenced growth in the economy. Time series data covering the period 1973-2011 for deposits money banks credits in Nigeria and per capita gross domestic product were analyzed within the framework of Engle-Granger Representation Theorem; the approach estimated a co-integrating regression using the ordinary least square estimator, and then investigated the presence of a co-integration relation by examining the stationarity of the estimated residual series. The findings indicate that credit allocation to the production sector is significantly promoting economic activity. The implication that can be drawn from this study is that to ensure that the banking system performs its role of credit allocation effectively it must channel funds into productive investment and more productive uses; deposit money banks should act as efficient financial intermediaries devoted to allocating resources to the most productive uses.

scholarly journals Growth Governance Nexus: A Case of Pakistan

2013 ◽  
Vol 5 (8) ◽  
pp. 562-572
Author(s):  
Rabia Nazir ◽  
Mumtaz Anwar .
Keyword(s):  
Time Series Data ◽  
Good Governance ◽  
Developing Economies ◽  
Series Data ◽  
Gdp Growth ◽  
Development Agenda ◽  
Tremendous Importance ◽  
Free Media ◽  
Political Economic

Good governance has gained tremendous importance in the development agenda of developing economies since 1990s but growth literature gives mixed picture about the role of governance and institutional factors in explaining GDP growth. The present study is an attempt to provide empirical evidence on interlinks between governance and GDP growth. ADF and Johansen co-integration tests are applied for econometric testing of the hypothesis by using time series data from 1984 to 2010. All the variables turned out to be significant with ICRG (proxy used for governance) having positive and significant impact on GDP growth of Pakistan. Results of the study have shown that governance plays major role in determining GDP growth pattern of Pakistan. A complete reform of the political, economic system, judiciary, bureaucracy and a free media are recommended to improve governance and to achieve sustained GDP growth in Pakistan consequently.

scholarly journals The Role of Coffee Plantation in the Kerinci Regency Regional’s Economy

2020 ◽  
Vol 14 (3) ◽  
pp. 499
Author(s):  
Suandi Suandi ◽  
Dompak Napitupulu ◽  
Endy Effran
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Coffee Plantation ◽  
Coffee Plantations ◽  
Positive Ratio ◽  
Main Indicator ◽  
Main Driver

The main indicator in economy development was the role and contribution of each sector and or sub-sector to economic growth. One of the sub-sectors that had a major role and contribution in economy development was coffee plantations. To determine the role of coffee plantations on the community’s economy in Kerinci Regency, Jambi Province, therefore the research aims were (1) to determine the role of coffee plantations on income and employment, (2) to determine the contribution of coffee plantations to income and employment, and (3) to determine the ratio of coffee plantation growth to income and employment. The research was conducted in Kerinci Regency in 2015 with 6 months research period. The research data were sourced from secondary data, which was time series data from 2005-2013. Data were analyzed using the Location Qoutient (LQ) approach, and Shift-share. The results showed that coffee plantations in Kerinci Regency were the base sector. The analysis results obtained that coffee plantations played a role as the main driver of the Kerinci Regency’s economy because it had a high income and employment. During the period of nine years 2005-2013, economic growth, income and employment of coffee plantation in Kerinci Regency showed a positive ratio value though it was fluctuated.

scholarly journals PENGARUH KUNJUNGAN WISATAWAN DAN RATA-RATA PENGELUARAN WISATAWAN TERHADAP PAD DAN PERTUMBUHAN EKONOMI PROVINSI BALI

2021 ◽  
pp. 511
Author(s):  
I Gede Dea Joendra Septyana Putra ◽  
Ni Luh Karmini ◽  
I Wayan Wenagama
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Time Series Data ◽  
Secondary Data ◽  
Data Sources ◽  
Series Data ◽  
Local Revenue ◽  
Analysis Technique ◽  
Secondary Data Sources

This study aims to analyze the effect of the number of tourist visits and the average tourist expenditure on the local income of Bali Province, to analyze the effect of the number of tourist visits, average tourist expenditure, and local income on the economic growth of Bali Province, and to analyze the role of income. native areas in mediating the effect of the number of tourist visits and the average tourist expenditure on the economic growth of Bali Province. The data used in this research is secondary data, with the method of observation by observing documents or secondary data sources that are related. This study uses time series data with a total of 30 years of observations from 1990-2019, with the analysis technique used is Path Analysis. This study shows the results that the number of tourist visits and the average tourist expenditure have a positive and significant effect on local income in Bali Province. The number of tourist visits, the average tourist expenditure and local revenue have a positive and significant effect on economic growth in Bali Province. Own-source revenue mediates the effect of the number of tourist visits and the average tourist expenditure on economic growth in Bali Province.

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