scholarly journals Quantitative metabolomics unveils the impact of agricultural practices in grape metabolome.

2021 ◽  
Author(s):  
Ilce G. Medina-Meza ◽  
Joshua VanderWeide ◽  
Cristobal Torres-Palacios ◽  
Paolo Sabbatini
Keyword(s):  
Sugar Content ◽  
Agricultural Practices ◽  
Multidimensional Data ◽  
Management Technique ◽  
Data Set ◽  
Quantitative Metabolomics ◽  
Multiple Data ◽  
The Impact ◽  
Qualitative Characteristics ◽  
Cool Climate

Abstract Integration of multiple data set in agricultural and food practices is critical for decision-making, particularly if affecting product qualitative characteristics that influence producers and consumers decisions on production strategies and purchases. Herein, we apply a multidimensional data analysis to evaluate grape chemical composition obtained via high-resolution metabolomics and vine growth characteristics following the application of early leaf-removal (ELR), a canopy management technique implemented in cool climate viticulture. The application of discriminant analysis using a supervised PLS (sPLS-DA) algorithm along with MANOVA reveals that ELR enhanced the concentration of several secondary metabolites, without compromising other berry attributes pivotal for the vinification process, such as sugar content. Overall, this study paves the way for highly effective integrated strategies (metabolomics and agricultural practices) that link laboratory analysis with vineyard management decisions.

scholarly journals THE IMPACT OF REAL ESTATE INVESTMENTS ON THE PERFORMANCE OF THE ENTITIES LISTED AT THE BVB

2021 ◽  
Vol 30 (30 (1)) ◽  
pp. 177-186
Author(s):  
Silviu Cornel Virgil Chiriac
Keyword(s):  
Principal Component Analysis ◽  
Real Estate ◽  
Financial Performance ◽  
Descriptive Analysis ◽  
Composite Index ◽  
Principal Component ◽  
Component Analysis ◽  
Multidimensional Data ◽  
Data Set ◽  
The Impact

The current paper is part of a wider study which aims at identifying the determining factors of the performances of the entities in the real estate field and the setting up of a composite index of the companies’ performances based on a sample of 29 companies listed at the BVB Bucharest (Bucharest Stock Exchange) in the year 2019 using one of the multidimensional data analysis techniques, the principal component analysis. The descriptive analysis, the principal component analysis for setting up the composite index of the companies performances were applied within the study in order to highlight the most important companies from the point of view of the financial performance. The descriptive analysis of the data set highlights the overview within the companies selected for analysis. The study aims at building a synthetic indicator that will show the financial performance of the companies selected based on 9 financial indicators using the principal component analysis PCA. The 9 indicators considered for the analysis were selected based on specialised articles and they are: ROA – return on assets, which reflect the company’s capacity of using its assets productively, ROE – return on equity, which measures the efficiency of use of the stockholders’ capitals, rotation of total assets, general liquidity ratio, general solvency ratio, general dent-to-equity level, net profit margin, gross return of portfolio.

scholarly journals Impact of Better Management Practices on Sustainable Cotton Production: Evidence from South Punjab

2019 ◽  
Vol 1 (3) ◽  
pp. 92-97
Author(s):  
Tayyaba Hina ◽  
Muhammad Asad ur Rehman Naseer
Keyword(s):  
Management Practices ◽  
Negative Impact ◽  
Positive Impact ◽  
Farmyard Manure ◽  
Agricultural Practices ◽  
Positive Sign ◽  
Cotton Production ◽  
Data Set ◽  
Adoption Rate ◽  
The Impact

The basic purpose of this study was to look at the position of Better Management Practices (BMPs) of cotton crop in order to reduce the burden on our natural scarce resources. Relevant information was taken from 150 respondents from the district Khanewal, Punjab. The results of this study revealed that the education level and landholding size of respondents have a positive impact on the adoption of sustainable agricultural practices. While the farmer’s age and farming experience were found a negative impact on BMPs adoption rate. Similarly, contact of respondents with the staff of farmer’s field schools and the number of visits of farmer’s field school staff were found positively correlated to BMPs adoption rate. The results of the regression analysis revealed the impact of different agriculture inputs and BMPs on cotton yield. The results showed that the age of the farmers, education, fertilizer, irrigations, water scouting, cotton area, farmyard manure, and hybrid seed variety and sowing method had a positive sign while the sign of pesticide coefficient was negative. The gross margins of BMPs adopter and non-adopter were 45,955 PKR and 28,790 PKR per acre respectively. The model also indicated that the production function fits well with the given data set. Therefore, the results of this study conveyed policy messages for the private and public organizations to promote BMPs for the betterment of the farming community.

scholarly journals Making the invisible visible: the impact of federating groundwater data in Victoria, Australia

2015 ◽  
Vol 18 (2) ◽  
pp. 238-255 ◽  
Author(s):  
Peter Dahlhaus ◽  
Angela Murphy ◽  
Andrew MacLeod ◽  
Helen Thompson ◽  
Kirsten McKenna ◽  
...  
Keyword(s):  
Social Impact ◽  
Web Portal ◽  
Data Set ◽  
Multiple Datasets ◽  
Multiple Data ◽  
Data Querying ◽  
Survey Instruments ◽  
The Government ◽  
The Impact ◽  
The Web

The Visualising Victoria's Groundwater (VVG) web portal federates groundwater data for the State of Victoria, Australia, thus making legacy data, government datasets, research data and community-sourced data and observations visible to the public. The portal is innovative because it was developed outside of the government and offers real-time access to remote authoritative databases by integrating the interoperable web services they each provide. It includes tools for data querying and 3D visualisations that were designed to meet end-user needs and educate the broader community about a normally invisible resource. The social impact of the web portal was measured using multidisciplinary research that employed survey instruments, expert reference groups, and internet analytics to explore the extent to which the web portal has supported decision making by governments, industry, researchers and the community. The research found that single access, multiple data set web portals enhance capacity by providing timely, informed and accurate responses to answer queries and increase productivity by saving time. The provision of multiple datasets from disparate sources within a single portal has changed practices in the Victorian groundwater industry.

Quantitative Metabolomics Unveils the Impact of Agricultural Practices in the Grape Metabolome

2021 ◽  
Author(s):  
Ilce G. Medina-Meza ◽  
Joshua VanderWeide ◽  
Cristobal Torres-Palacios ◽  
Paolo Sabbatini
Keyword(s):  
Agricultural Practices ◽  
Quantitative Metabolomics ◽  
The Impact

Age at Exposure to Parental Suicide and the Subsequent Risk of Suicide in Young People

Crisis ◽  
2018 ◽  
Vol 39 (1) ◽  
pp. 27-36 ◽  
Author(s):  
Kuan-Ying Lee ◽  
Chung-Yi Li ◽  
Kun-Chia Chang ◽  
Tsung-Hsueh Lu ◽  
Ying-Yeh Chen
Keyword(s):  
Young People ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Birth Registry ◽  
Data Set ◽  
Parental Suicide ◽  
The Impact ◽  
Age At Exposure

Abstract. Background: We investigated the age at exposure to parental suicide and the risk of subsequent suicide completion in young people. The impact of parental and offspring sex was also examined. Method: Using a cohort study design, we linked Taiwan's Birth Registry (1978–1997) with Taiwan's Death Registry (1985–2009) and identified 40,249 children who had experienced maternal suicide (n = 14,431), paternal suicide (n = 26,887), or the suicide of both parents (n = 281). Each exposed child was matched to 10 children of the same sex and birth year whose parents were still alive. This yielded a total of 398,081 children for our non-exposed cohort. A Cox proportional hazards model was used to compare the suicide risk of the exposed and non-exposed groups. Results: Compared with the non-exposed group, offspring who were exposed to parental suicide were 3.91 times (95% confidence interval [CI] = 3.10–4.92 more likely to die by suicide after adjusting for baseline characteristics. The risk of suicide seemed to be lower in older male offspring (HR = 3.94, 95% CI = 2.57–6.06), but higher in older female offspring (HR = 5.30, 95% CI = 3.05–9.22). Stratified analyses based on parental sex revealed similar patterns as the combined analysis. Limitations: As only register-­based data were used, we were not able to explore the impact of variables not contained in the data set, such as the role of mental illness. Conclusion: Our findings suggest a prominent elevation in the risk of suicide among offspring who lost their parents to suicide. The risk elevation differed according to the sex of the afflicted offspring as well as to their age at exposure.

State Medical Boards' Perceptions of a Minimum Data Set and Current Practices for Collecting Physician Information

2013 ◽  
Vol 99 (4) ◽  
pp. 40-45 ◽  
Author(s):  
Aaron Young ◽  
Philip Davignon ◽  
Margaret B. Hansen ◽  
Mark A. Eggen
Keyword(s):  
Media Coverage ◽  
The United States ◽  
Minimum Data Set ◽  
Direct Patient Care ◽  
Physician Workforce ◽  
Data Set ◽  
Minimum Data ◽  
State Medical Boards ◽  
The Impact ◽  
Current Practices

ABSTRACT Recent media coverage has focused on the supply of physicians in the United States, especially with the impact of a growing physician shortage and the Affordable Care Act. State medical boards and other entities maintain data on physician licensure and discipline, as well as some biographical data describing their physician populations. However, there are gaps of workforce information in these sources. The Federation of State Medical Boards' (FSMB) Census of Licensed Physicians and the AMA Masterfile, for example, offer valuable information, but they provide a limited picture of the physician workforce. Furthermore, they are unable to shed light on some of the nuances in physician availability, such as how much time physicians spend providing direct patient care. In response to these gaps, policymakers and regulators have in recent years discussed the creation of a physician minimum data set (MDS), which would be gathered periodically and would provide key physician workforce information. While proponents of an MDS believe it would provide benefits to a variety of stakeholders, an effort has not been attempted to determine whether state medical boards think it is important to collect physician workforce data and if they currently collect workforce information from licensed physicians. To learn more, the FSMB sent surveys to the executive directors at state medical boards to determine their perceptions of collecting workforce data and current practices regarding their collection of such data. The purpose of this article is to convey results from this effort. Survey findings indicate that the vast majority of boards view physician workforce information as valuable in the determination of health care needs within their state, and that various boards are already collecting some data elements. Analysis of the data confirms the potential benefits of a physician minimum data set (MDS) and why state medical boards are in a unique position to collect MDS information from physicians.

Maintenance of a Genetic Data Set on Multiple Data Base and Statistical Analysis Systems

1982 ◽  
Vol 61 (s109) ◽  
pp. 34-34
Author(s):  
Samuel J. Agronow ◽  
Federico C. Mariona ◽  
Frederick C. Koppitch ◽  
Kazutoshi Mayeda
Keyword(s):  
Statistical Analysis ◽  
Data Base ◽  
Genetic Data ◽  
Data Set ◽  
Multiple Data

The Impact of Green Labels on U.S. Hotel Net Operating Income: Operating Statements Analyses

2019 ◽  
Vol 11 (1) ◽  
pp. 156-173
Author(s):  
Spenser Robinson ◽  
A.J. Singh
Keyword(s):  
Environmental Design ◽  
Green Buildings ◽  
Small Sample ◽  
Sample Survey ◽  
Data Set ◽  
Operating Income ◽  
Energy Star ◽  
The Impact ◽  
Industry Professionals

This paper shows Leadership in Energy and Environmental Design (LEED) certified hospitality properties exhibit increased expenses and earn lower net operating income (NOI) than non-certified buildings. ENERGY STAR certified properties demonstrate lower overall expenses than non-certified buildings with statistically neutral NOI effects. Using a custom sample of all green buildings and their competitive data set as of 2013 provided by Smith Travel Research (STR), the paper documents potential reasons for this result including increased operational expenses, potential confusion with certified and registered LEED projects in the data, and qualitative input. The qualitative input comes from a small sample survey of five industry professionals. The paper provides one of the only analyses on operating efficiencies with LEED and ENERGY STAR hospitality properties.

The impact of duration observations on precision of results GNSS measurements

2017 ◽  
Vol 921 (3) ◽  
pp. 7-13 ◽  
Author(s):  
S.V. Grishko
Keyword(s):  
Measurement Accuracy ◽  
Functional Dependence ◽  
Observation Time ◽  
Satellite Networks ◽  
Satellite Measurements ◽  
Proposed Model ◽  
Actual Error ◽  
Gnss Measurements ◽  
The Impact ◽  
Qualitative Characteristics

This paper shows that the accuracy of relative satellite measurements depend not only on the length of the baseline, as it is regulated by the rating formula of accuracy of GNSS equipment, but also on the duration of observations. As a result of the strict adjustment much redundant satellite networks with different duration of observations obtained covariance matrix of baselines, the most realistic reflecting the actual error of satellite observations. Research of forms of communication of these errors from length of the baseline and duration of its measurement is executed. A significant influence of solar activity on accuracy of satellite measurements, in general, leads to unequal similar series of measurements made at different periods, for example, in the production of monitoring activities. The model of approximation of the functional dependence of accuracy of the baseline from its length and duration of observations having good qualitative characteristics is offered. Based on the proposed model, we analyzed the dynamics of changes in measurement accuracy with an increase in observation time.

Wybrane socjodemograficzne determinanty postaw konsumentów wobec żywności o obniżonej zawartości cukru

2016 ◽  
pp. 145-157
Author(s):  
Katarzyna Staniewska ◽  
Danuta Jakubowska ◽  
Monika Radzymińska
Keyword(s):  
Research Method ◽  
Sugar Content ◽  
Consumer Attitudes ◽  
Demographic Variables ◽  
Demographic Characteristics ◽  
Educational Institutions ◽  
Gender And Age ◽  
Indirect Technique ◽  
The Impact ◽  
Interview Questionnaire

The aim of this study was to determine the impact of socio-demographic variables on consumer attitudes towards food with a reduced sugar content. The study was conducted in educational institutions, a university and educational centers for seniors located in the Warmia-Mazury, using a survey research method, indirect technique (an original interview questionnaire). In total, 750 respondents were interviewed. The majority of respondents, regardless of socio-demographic characteristics, assesses the health benefits of the sugar content reduction as large and rather large. Despite this, a relatively small portion of respondents, varied by gender and age, used in their diets sugar substitutes and was interested in products with a reduced sugar content. According to the most of the respondents, lowering the sugar content of a product affects the deterioration of its flavor.

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