scholarly journals Unravelling the complexities of wine: A big data approach to yeast assimilable nitrogen

OENO One ◽  
2019 ◽  
Vol 53 (2) ◽  
pp. 107-127 ◽  
Author(s):  
Gabriella Petrovic ◽  
Jose-Luis Aleixandre-Tudo ◽  
Astrid Buica

Aim: Assimilable Nitrogen (YAN) has been identified as one of the main drivers of wine quality, influencing the production of various aromas and ensuring a successful fermentation to dryness. Due to the number of factors affecting YAN concentration and composition, paired with the complexities of yeast metabolism, more data is required to enable a comprehensive understanding of this important component of the grape juice matrix. The use of high throughput and information-rich techniques such as InfraRed spectroscopy can lead to a fast generation of a large amount of data. In addition, there is a possibility to maximise the information output of the generated data when combined with various descriptive and exploratory statistical techniques.Conclusion: Given the recent developments in the fields of analytical equipment and chemometrics, the review explores the possibility of a Big Data approach for the research of one of the most important and versatile grape juice parameters, namely YAN

Author(s):  
Joshua Devadason ◽  
◽  
Rehan Akbar

Big data is a valuable asset for organisation as it analyses and help to understand the customers, changes within their business environment, market analysis and future trends. The big data is multifaceted (different data types and versatile), and mostly exists in unstructured formats. The extraction of value from this data is challenging. The usability and productivity of this multifaceted unstructured data is greatly compromised. A number of factors and associated reasons affect the usability of unstructured big data. The present research work investigates these factors and associated reasons behind the usability issues of multifaceted unstructured big data. The identification of these factors contribute to develop solutions to reduce the lack of usability of highly unstructured big data. A detailed study of existing literature followed by survey questionnaire has been conducted to identify the factors and their reasons. Descriptive statistics has been used to analyse and interpret the data and results.


2013 ◽  
Vol 93 (1) ◽  
pp. 37-45 ◽  
Author(s):  
K. D. Hannam ◽  
G. H. Neilsen ◽  
T. Forge ◽  
D. Neilsen

Hannam, K. D., Neilsen, G. H., Forge, T. and Neilsen, D. 2013. The concentration of yeast assimilable nitrogen in Merlot grape juice is increased by N fertilization and reduced irrigation. Can. J. Plant Sci. 93: 37–45. Vineyard management practices that can be used to elevate yeast-assimilable nitrogen (YAN) above the 140 mg N L−1 required for efficient fermentation are of critical interest. The effects of N fertilization and reduced irrigation frequency on grape juice YAN, fruit composition and yield were examined in a 5-yr study on Merlot (Vitis vinifera L.) vines. Fertilization with N increased the concentration of YAN in grape juice by improving grapevine N status as indicated by petiole N concentrations. Reduced irrigation frequency appeared to have no effect on grape juice YAN status but short-term reductions in the quantity of applied water during the early stages of berry development in 2 of the study years did increase YAN. Juice pH was sometimes increased by reduced irrigation and N application treatments, but levels remained acceptable for wine production. Other measures of fruit composition were less sensitive to irrigation and N fertilization treatments. Inter-annual variability played an important role in determining grape juice YAN, fruit composition and yield. Future work should focus on refining management practices, e.g., the timing of N application, to minimize the effects of annual variability on grape juice YAN concentrations.


Author(s):  
Nikolaj Dobrzinskij ◽  
Algimantas Fedaravicius ◽  
Kestutis Pilkauskas ◽  
Egidijus Slizys

Relevance of the article is based on participation of armed forces in various operations and exercises, where reliability of machinery is one of the most important factors. Transportation of soldiers as well as completion of variety of tasks is ensured by properly functioning technical equipment. Reliability of military vehicles – armoured SISU E13TP Finnish built and HMMWV M1025 USA built were selected as the object of the article. Impact of climatic conditions on reliability of the vehicles exploited in southwestern part of the Atlantic continental forest area is researched by a case study of the vehicles exploitation under conditions of the climate of Lithuania. Reliability of military vehicles depends on a number of factors such as properties of the vehicles and external conditions of their operation. Their systems and mechanisms are influenced by a number of factors that cause different failures. Climatic conditions represent one of the factors of operating load which is directly dependent on the climate zone. Therefore, assessment of the reliability is started with the analysis of climatic factors affecting operating conditions of the vehicles. Relationship between the impact of climatic factors and failure flow of the vehicles is presented and discussed.


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Yusuke Yokoyama ◽  
Anthony Purcell

AbstractPast sea-level change represents the large-scale state of global climate, reflecting the waxing and waning of global ice sheets and the corresponding effect on ocean volume. Recent developments in sampling and analytical methods enable us to more precisely reconstruct past sea-level changes using geological indicators dated by radiometric methods. However, ice-volume changes alone cannot wholly account for these observations of local, relative sea-level change because of various geophysical factors including glacio-hydro-isostatic adjustments (GIA). The mechanisms behind GIA cannot be ignored when reconstructing global ice volume, yet they remain poorly understood within the general sea-level community. In this paper, various geophysical factors affecting sea-level observations are discussed and the details and impacts of these processes on estimates of past ice volumes are introduced.


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