scholarly journals Ecology of the meadow spittlebug Philaenus spumarius in the Ajaccio region (Corsica) – I: spring

2020 ◽  
pp. 1-11
Author(s):  
Jérôme Albre ◽  
José María García Carrasco ◽  
Marc Gibernau
Keyword(s):  
Strong Relationship ◽  
Plant Host ◽  
Philaenus Spumarius ◽  
Pathogen Load ◽  
Trapping Methods ◽  
Cultivated Species ◽  
Dead Plant ◽  
The Impact ◽  
Insular Populations ◽  
Meadow Spittlebug

Abstract The meadow spittlebug, Philaenus spumarius (L.) (Hemiptera: Aphrophoridae), is the main vector in Europe of the recently detected plant pathogen bacterium Xylella fastidiosa Wells et al. (Xanthomonadales: Xanthomonadaceae). While the ecology of continental populations is well documented, nothing is known about the insular populations of P. spumarius, such as in Corsica, where the bacterium was detected in 2015. Hence, in an epidemiological context, the ecology of P. spumarius has been studied in a maquis landscape in the Ajaccio region between 2017 and 2019. Adults and nymphs were almost exclusively collected on Cistus monspeliensis L. (Cistaceae). However, very few specimens were collected in summer, suggesting a movement of the adults to sheltered habitats. Unfortunately, despite several trapping methods used, the location of adult summer habitat remains unknown for the studied population. It might be tempting to destroy the central plant host of P. spumarius populations. However, as spittlebug nymphs are highly polyphagous on low-growing plant species and as the females can lay eggs in any dead plant tissues, such practice could have limited the impact. Instead, the strong relationship between P. spumarius and C. monspeliensis could be used to monitor spittlebug populations, to limit/concentrate the means of insect control, or in an agronomic context to lure insects away from crops. Maintaining natural arboreal vegetation around agronomic systems could help decrease insect abundance – and potentially, pathogen load – on cultivated species. Such hypotheses need to be further studied by landscape experiments.

Marketing China to U.S. travelers through electronic word-of-mouth and destination image: Taking Beijing as an example

2021 ◽  
pp. 135676672098786
Author(s):  
Li Ran ◽  
Luo Zhenpeng ◽  
Anil Bilgihan ◽  
Fevzi Okumus
Keyword(s):  
Quantitative Research ◽  
Behavioral Control ◽  
Strong Relationship ◽  
Tourism Industry ◽  
Destination Image ◽  
Perceived Behavioral Control ◽  
Online Data ◽  
Mediating Role ◽  
Study Results ◽  
The Impact

The tourism industry in China has grown significantly over the last two decades. Most of the growth, however, is fueled by domestic tourism. As one of the biggest tourism markets in the world, U.S. tourists might be reluctant to travel to China due to reasons such as unfamiliarity, cultural differences, visa requirements, and long flights. Building on the Theory of Planned Behavior (TPB) with relevant constructs, this research proposes that building a strong destination image via eWOM may influence the attitude and intention of U.S. travelers to visit Beijing. More specifically, the current research aims to examine the impact of eWOM and destination image on travel intention of tourists. This study used a quantitative research method and online data collection was conducted through Qualtrics. A total of 413 valid responses from U.S. residents were collected. The statistical software SPSS 21.0 and Mplus 7.0 were used to analyze the data. Study results show a strong relationship between eWOM utilitarian function and eWOM credibility, and eWOM credibility has a significant influence on destination image. Although there was no direct impact of destination image on tourists’ future travel intention, destination image plays a mediating role between eWOM credibility and perceived behavioral control (and tourists’ attitudes as well). Finally, perceived behavioral control and tourists’ attitudes mediate the impact of destination image on travel intention.

The Impact of Performance Variables on Industry in K-Economy

2013 ◽  
Vol 64 (2) ◽  
Author(s):  
Muhammad Jawad Iqbal ◽  
Ibn-e- Hassan
Keyword(s):  
Knowledge Economy ◽  
Structural Equation ◽  
Strong Relationship ◽  
Equation Modeling ◽  
Survey Questionnaire ◽  
Performance Variables ◽  
Complementary Resources ◽  
The Impact ◽  
Associated Variables

In the knowledge economy, companies are thought to be the experts who develop innovative product or service as per demand and then market it to generate the revenue. The role of industry in a knowledge economy is to search and to promote inter-organizational collaborations for learning and to search linkages to arrange for complementary resources. These interactions improve the performance of industry in the knowledge economy. This research has been conducted to find out the impact of industry associated variables that significantly influence the performance of knowledge economy. Important attributes have therefore, been identified from the studies conducted in the field of knowledge economy. Influence of identified attributes on industry has been measured using structural equation modeling (SEM) technique. Data has been collected using survey questionnaire. Findings of the study confirm that there exist a strong relationship among the industry and it’s identified variables that collectively influence the performance of industry in the knowledge economy.

scholarly journals The Impact Facebook and Twitter has on the Cognitive Social Capital of University Students

10.28945/2160 ◽  
2015 ◽  
Vol 18 ◽  
pp. 001-030 ◽  
Author(s):  
Chad Petersen ◽  
Kevin A. Johnston
Keyword(s):  
Social Capital ◽  
University Students ◽  
Online Social Network ◽  
Strong Relationship ◽  
Western Cape ◽  
Network Systems ◽  
University Life ◽  
Facebook Usage ◽  
Cognitive Social Capital ◽  
The Impact

The impact that Facebook and Twitter usage has on the creation and maintenance of university student’s cognitive social capital was investigated on students in the Western Cape province of South Africa. Facebook and Twitter were selected as part of the research context because both are popular online social network systems (SNSs), and few studies were found that investigated the impact that both Facebook and Twitter have on the cognitive social capital of South African university students. Data was collected from a survey questionnaire, which was successfully completed by over 100 students from all 5 universities within the Western Cape. The questionnaire was obtained from a previous study, allowing comparisons to be made. Analysis of the results however, did not show a strong relationship between the intensity of Facebook and Twitter usage, and the various forms of social capital. Facebook usage was found to correlate with student’s satisfaction with university life; which suggests that increasing the intensity of Facebook usage for students experiencing low satisfaction with university life might be beneficial.

scholarly journals Intellectual property rights in Brazilian floriculture: innovations for the growth and development of the market

2017 ◽  
Vol 23 (3) ◽  
pp. 296 ◽  
Author(s):  
Antonio Helio Junqueira ◽  
Marcia Peetz
Keyword(s):  
Growth And Development ◽  
Ornamental Plants ◽  
Genetic Material ◽  
The United States ◽  
Consumer Market ◽  
International Trends ◽  
Recent Developments ◽  
Cultivated Species ◽  
The Impact ◽  
Sectoral Policy

One of the most important demands imposed by the consumer market on the Brazilian Productive Chain of Flowers and Ornamental Plants is the constant launching of innovations in cultivated species and varieties. Such innovations include the constant introduction of flowers and plants not yet grown and commercialized, both native and adapted exotic species, as well as transformations and changes in size, shape, coloring and conduction patterns and presentation of these goods to the market. Brazil does not have a relevant breeding and cultivation industry. In this sense, it is highly dependent on imports of genetic material developed by countries such as the Netherlands, Germany, Japan, the United States of America, Thailand, among others. Recent developments in the sectoral policy to protect the rights of genetic developers, in the development of internationally adequate legislation and in the control of the use and trade of cultivars, has allowed Brazil greater access to new genetic materials of high quality and in line with contemporary international trends in the consumption. This article aims to discuss the state of the art of protection of cultivars in Brazil, pointing to the advances that the legislation and the inspection have allowed in relation to the introduction of genetic innovations, evaluating the impact of these measures on the growth and development of the market of consumption of flowers and ornamental plants in the country.

scholarly journals Impact of Training on Employees' Performance

2020 ◽  
Vol V (III) ◽  
pp. 120-128
Author(s):  
Muhammad Zia-ur-Rehman ◽  
Riaz Hussain Ansari ◽  
Himayat Ali
Keyword(s):  
Strong Correlation ◽  
Employee Performance ◽  
Strong Relationship ◽  
Levels Of Analysis ◽  
Future Research ◽  
Hr Practices ◽  
The Impact ◽  
Positive Effect

The aim of this paper is to examine the impact of training on employee performance. The study investigates the association and offers proposals for additional investigations. There is a need to check the HR Practices and also quantify the effect across employees' performance. Based on the studies conducted by previous researchers, the study shows similar results that training practices and employee performance have a strong correlation. Taking other aspects into account, it can be said in general that the research discoveries are shifted; however, context remains similar. A few studies have discovered a positive affiliation, some negative, and some no affiliation at all. It was found from the result of the study that training has a positive effect on employee performance. This study shows that there is a solid relationship between training and employee performance. Therefore our result matched with the above researcher. The research shows a strong relationship between training and employee performance. The paper concludes with direction for future research by putting in the various levels of analysis on investigating the effect of training on employee performance.

scholarly journals Comments on "Researcher bias: The use of machine learning in software defect prediction"

2015 ◽  
Author(s):  
Chakkrit Tantithamthavorn ◽  
Shane McIntosh ◽  
Ahmed E Hassan ◽  
Kenichi Matsumoto
Keyword(s):  
Prediction Model ◽  
Strong Association ◽  
Model Performance ◽  
Strong Relationship ◽  
Defect Prediction ◽  
Explanatory Variables ◽  
Software Defect ◽  
The Impact ◽  
The Relationship ◽  
Selection Of

Shepperd et al. (2014) find that the reported performance of a defect prediction model shares a strong relationship with the group of researchers who construct the models. In this paper, we perform an alternative investigation of Shepperd et al. (2014)’s data. We observe that (a) researcher group shares a strong association with the dataset and metric families that are used to build a model; (b) the strong association among the explanatory variables introduces a large amount of interference when interpreting the impact of the researcher group on model performance; and (c) after mitigating the interference, we find that the researcher group has a smaller impact than the metric family. These observations lead us to conclude that the relationship between the researcher group and the performance of a defect prediction model may have more to do with the tendency of researchers to reuse experimental components (e.g., datasets and metrics). We recommend that researchers experiment with a broader selection of datasets and metrics to combat potential bias in their results.

scholarly journals Examining the Role of Population Age Structure upon Residential Electricity Demand: A Case from Korea

2019 ◽  
Vol 11 (14) ◽  
pp. 3914 ◽  
Author(s):  
Jaehyeok Kim ◽  
Minwoo Jang ◽  
Donghyun Shin
Keyword(s):  
Age Structure ◽  
Energy Demand ◽  
Population Group ◽  
Strong Relationship ◽  
Electricity Demand ◽  
Advanced Economy ◽  
Population Age Structure ◽  
Long Run ◽  
Residential Electricity ◽  
The Impact

In this article, we empirically investigate the impact of the population age structure on electricity demand. Our study is motivated by suggestions from existing literature that demographic factors can play an important role in energy demand. Using Korean regional level panel data for 2000 to 2016, we estimate the long-run elasticities through employing cointegration regression and the short-run marginal effects by developing a panel error correction model. It is worth investigating the Korean case, since Korea is aging faster than any other advanced economy, and at the same time is one of the heaviest energy users in the world. To our knowledge, this is the first study analyzing how the population age structure affects residential electricity demand, based on regional data in Korea. Our analysis presents the following results. First, an increase in the youth population raises the residential electricity demand in the short- and long-run. Second, an increase in the population of people aged 65 and over also increases this electricity demand in the short- and long-run. Third, among the group of people aged 65 and over, we further investigate the impact of an older population group, aged 80 and over, but separately, on their residential electricity demand. However, in general there is no strong relationship in the short- and long-run.

Molecular phylogeny and DNA barcoding in the meadow-spittlebug Philaenus spumarius (Hemiptera, Cercopidae) and its related species

2010 ◽  
Vol 56 (1) ◽  
pp. 462-467 ◽  
Author(s):  
S.G. Seabra ◽  
F. Pina-Martins ◽  
E. Marabuto ◽  
S. Yurtsever ◽  
O. Halkka ◽  
...  
Keyword(s):  
Molecular Phylogeny ◽  
Dna Barcoding ◽  
Related Species ◽  
Philaenus Spumarius ◽  
Meadow Spittlebug

scholarly journals Aggravation of Human Diseases and Climate Change Nexus

2019 ◽  
Vol 16 (15) ◽  
pp. 2799 ◽  
Author(s):  
Mohd Danish Khan ◽  
Hong Ha Thi Vu ◽  
Quang Tuan Lai ◽  
Ji Whan Ahn
Keyword(s):  
Climate Change ◽  
Infectious Diseases ◽  
Strong Relationship ◽  
Epidemiological Data ◽  
Extreme Weather ◽  
Control Measures ◽  
Extreme Weather Events ◽  
Human Beings ◽  
Impact Of Climate Change ◽  
The Impact

For decades, researchers have debated whether climate change has an adverse impact on diseases, especially infectious diseases. They have identified a strong relationship between climate variables and vector’s growth, mortality rate, reproduction, and spatiotemporal distribution. Epidemiological data further indicates the emergence and re-emergence of infectious diseases post every single extreme weather event. Based on studies conducted mostly between 1990-2018, three aspects that resemble the impact of climate change impact on diseases are: (a) emergence and re-emergence of vector-borne diseases, (b) impact of extreme weather events, and (c) social upliftment with education and adaptation. This review mainly examines and discusses the impact of climate change based on scientific evidences in published literature. Humans are highly vulnerable to diseases and other post-catastrophic effects of extreme events, as evidenced in literature. It is high time that human beings understand the adverse impacts of climate change and take proper and sustainable control measures. There is also the important requirement for allocation of effective technologies, maintenance of healthy lifestyles, and public education.

scholarly journals The Price Impact of Lending Relationships

2015 ◽  
Vol 16 (3) ◽  
pp. 367-389 ◽  
Author(s):  
Ingrid Stein
Keyword(s):  
Strong Relationship ◽  
Price Impact ◽  
Bank Debt ◽  
Relationship Strength ◽  
Borrowing Costs ◽  
Lending Relationships ◽  
Relationship Length ◽  
The Impact ◽  
Over Time

Abstract This study analyzes the impact of bank relationships on a firm’s borrowing costs. We find that a firm’s borrowing costs decrease with relationship strength, proxied by the share of bank debt provided by the lender. Borrowing costs, however, rise with relationship length. While the increase over time is weak on average, bank-dependent borrowers face a substantial premium after several relationship years. Switching the lender initially leads to only a small price discount on average. However, the discount is considerable for borrowers that switch and had a strong relationship with their previous lender. Our results suggest that close lending relationships lead to benefits for the firm, but may also imply hold-up costs in the long term.

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