THE INFLUENCE OF YEAST ON THE FORMATION OF VARIETAL CHARACTERISTICS OF APPLE NATURAL WINES

2021 ◽  
Vol 14 (3(53)) ◽  
pp. 32-40
Author(s):  
Oksana Leonidovna Zubkovskaya ◽  
Natalia Rostislavovna Rabchonok ◽  
Olga Nikolaevna Yudenko ◽  
Ekaterina Petrovna Kulagova
Keyword(s):  
Yeast Species ◽  
Wine Yeast ◽  
Quality Indices ◽  
Fermentation Products ◽  
Qualitative And Quantitative ◽  
Fermentation Temperature ◽  
Organoleptic Characteristics ◽  
Different Types ◽  
Sensory Profiles ◽  
Secondary Fermentation

Fermentation is one of the most important stages in the production of fruit wines that determines the formation of their varietal characteristics. The purpose of the work is to investigate quality indices of variety fruit wines and establish interrelation between application of different types of yeast and organoleptic characteristics of wines obtained with their application. Influence of yeast race on apple wine sensory profiles, dynamics of apple wort fermentation, formation of secondary fermentation products determining organoleptic characteristics of apple wines has been studied. Yeast species Saccharomyces cerevisiae - Lalvin V-1116, Oenoferm C2, France CB and Saccharomyces byanus –Oenoferm Freddo, Fermivin PDM were used in this work. For the nutrition of wine yeast we chose Maxafarm’s nutrient mixture consisting of inactivated yeast, thiamine and ammonium salts. The significant influence of yeast races on the qualitative and quantitative composition of secondary fermentation products, the formation of varietal signs of fruit and berry natural wines was shown. It is recommended to use Fermivin PDM and Oenoferm Freddo yeast at a fermentation temperature from 22 °C to 26 °C and France CB yeast at a fermentation temperature from 16 °C to 18 °C for the production of apple natural wines for the formation of varietal characters.

DIRECTIONS OF IMPROVEMENT OF RISK MANAGEMENT SYSTEM IN THE FIELD OF LOGISTICS ACTIVITIES

2017 ◽  
Author(s):  
Elena Lytvynenko ◽  
◽  
Taisiya Kozlova ◽  
Keyword(s):  
Risk Management ◽  
Practical Experience ◽  
Logistics System ◽  
Systematic Analysis ◽  
Qualitative And Quantitative ◽  
Different Types ◽  
Rational Management ◽  
Enterprise Logistics ◽  
Risk Acceptability ◽  
Logistics Activity

The changeable and unpredictable development of the enterprises’ external environment is one of the appearance causes of various types of business activities' risks, including logistics. The purpose of this article is to develop recommendations on improving the risk management of enterprises’ logistics activities in the context of instability. Achieving this goal requires consideration of the main stages of this process regarding the logistics activities' risks, providing advices on improving the process of risk management of logistics orientation. The article explores the process of analyzing the logistics activities' risks of the enterprise. Proceeding from the theoretical provisions of management and summarizing the practical experience of research in the field of systematic analysis of the enterprises' logistics activities risks, there are traced the organization's peculiarities of such analysis, and the main directions of its further improvement are proposed. All actions in the article, which are related to the analysis of the risk of enterprise logistics activity, are proposed to carry out in a certain sequence in the article. This sequence is given in the form of a structural scheme of systematic analysis of the risks of the enterprise logistics activities. Based on the objectivity of the existence of logistics activities' risks and the need to ensure the rational management of them, the algorithm of the risk management in the enterprise logistics system covers the stages of risks' identification, their qualitative and quantitative assessment, diagnostics, assessment of risk acceptability and application of neutralization measures to unacceptable logistical risks. It is concluded that the logistics activities risks combine different types of risks of all components and elements both in the process of changing material, financial and information flows, as well as in the process of managing the risks arising in the logistics system

scholarly journals FODMAP Fingerprinting of Bakery Products and Sourdoughs: Quantitative Assessment and Content Reduction through Fermentation

Foods ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 894
Author(s):  
Johannes Pitsch ◽  
Georg Sandner ◽  
Jakob Huemer ◽  
Maximilian Huemer ◽  
Stefan Huemer ◽  
...  
Keyword(s):  
Irritable Bowel Syndrome ◽  
Acetic Acid ◽  
Lactic Acid ◽  
Low Temperature ◽  
Quantitative Assessment ◽  
Bakery Products ◽  
Fermentation Products ◽  
Fermentation Temperature ◽  
Digestive Disorders ◽  
Irritable Bowel

Fermentable oligo-, di-, and monosaccharides and polyols (FODMAPs) are associated with digestive disorders and with diseases such as irritable bowel syndrome. In this study, we determined the FODMAP contents of bread, bakery products, and flour and assessed the effectiveness of sourdough fermentation for FODMAP reduction. The fermentation products were analyzed to determine the DP 2–7 and DP >7 fructooligosaccharide (FOS) content of rye and wheat sourdoughs. FOSs were reduced by Acetobacter cerevisiae, Acetobacter okinawensis, Fructilactobacillus sanfranciscensis, and Leuconostoc citreum to levels below those in rye (−81%; −97%) and wheat (−90%; −76%) flours. The fermentation temperature influenced the sourdough acetic acid to lactic acid ratios (4:1 at 4 °C; 1:1 at 10 °C). The rye sourdough contained high levels of beneficial arabinose (28.92 g/kg) and mannitol (20.82 g/kg). Our study contributes in-depth knowledge of low-temperature sourdough fermentation in terms of effective FODMAP reduction and concurrent production of desirable fermentation byproducts.

Managing Late Measurements in Data Warehouses

2008 ◽  
pp. 738-754
Author(s):  
Matteo Golfarelli ◽  
Stefano Rizzi
Keyword(s):  
Data Warehousing ◽  
Historical Analysis ◽  
Quantitative Comparison ◽  
Design Decisions ◽  
Alternative Design ◽  
Qualitative And Quantitative ◽  
Traditional Design ◽  
Different Types ◽  
Design Solutions ◽  
Valid Time

Though in most data warehousing applications no relevance is given to the time when events are recorded, some domains call for a different behavior. In particular, whenever late measurements of events take place, and particularly when the events registered are subject to further updates, the traditional design solutions fail in preserving accountability and query consistency. In this article, we discuss the alternative design solutions that can be adopted, in presence of late measurements, to support different types of queries that enable meaningful historical analysis. These solutions are based on the enforcement of the distinction between transaction time and valid time within the schema that represents the fact of interest. Besides, we provide a qualitative and quantitative comparison of the solutions proposed, aimed at enabling wellinformed design decisions.

scholarly journals Bearing Fault Diagnosis Based on Improved Convolutional Deep Belief Network

2020 ◽  
Vol 10 (18) ◽  
pp. 6359 ◽  
Author(s):  
Shuangjie Liu ◽  
Jiaqi Xie ◽  
Changqing Shen ◽  
Xiaofeng Shang ◽  
Dong Wang ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Diagnostic Accuracy ◽  
Vibration Signal ◽  
Deep Belief Network ◽  
Mechanical Equipment ◽  
Belief Network ◽  
Bearing Faults ◽  
Qualitative And Quantitative ◽  
Proposed Model ◽  
Different Types

Mechanical equipment fault detection is critical in industrial applications. Based on vibration signal processing and analysis, the traditional fault diagnosis method relies on rich professional knowledge and artificial experience. Achieving accurate feature extraction and fault diagnosis is difficult using such an approach. To learn the characteristics of features from data automatically, a deep learning method is used. A qualitative and quantitative method for rolling bearing faults diagnosis based on an improved convolutional deep belief network (CDBN) is proposed in this study. First, the original vibration signal is converted to the frequency signal with the fast Fourier transform to improve shallow inputs. Second, the Adam optimizer is introduced to accelerate model training and convergence speed. Finally, the model structure is optimized. A multi-layer feature fusion learning structure is put forward wherein the characterization capabilities of each layer can be fully used to improve the generalization ability of the model. In the experimental verification, a laboratory self-made bearing vibration signal dataset was used. The dataset included healthy bearings, nine single faults of different types and sizes, and three different types of composite fault signals. The results of load 0 kN and 1 kN both indicate that the proposed model has better diagnostic accuracy, with an average of 98.15% and 96.15%, compared with the traditional stacked autoencoder, artificial neural network, deep belief network, and standard CDBN. With improved diagnostic accuracy, the proposed model realizes reliable and effective qualitative and quantitative diagnosis of bearing faults.

Effects of the pre‐fermentative addition of chitosan on the nitrogenous fraction and the secondary fermentation products of SO 2 ‐ free red wines

2020 ◽  
Author(s):  
Lourdes Marchante ◽  
Adela Mena ◽  
Pedro M Izquierdo‐Cañas ◽  
Esteban García‐Romero ◽  
María Soledad Pérez‐Coello ◽  
...  
Keyword(s):  
Red Wines ◽  
Fermentation Products ◽  
Secondary Fermentation

scholarly journals A New Decision-Making Method for Stock Portfolio Selection Based on Computing with Linguistic Assessment

2009 ◽  
Vol 2009 ◽  
pp. 1-20 ◽  
Author(s):  
Chen-Tung Chen ◽  
Wei-Zhan Hung
Keyword(s):  
Decision Making ◽  
Portfolio Selection ◽  
Quantitative Data ◽  
Decision Makers ◽  
Stock Selection ◽  
Qualitative And Quantitative ◽  
Selection Problems ◽  
Different Types ◽  
Linguistic Assessment ◽  
Stock Portfolio

The purpose of stock portfolio selection is how to allocate the capital to a large number of stocks in order to bring a most profitable return for investors. In most of past literatures, experts considered the portfolio of selection problem only based on past crisp or quantitative data. However, many qualitative and quantitative factors will influence the stock portfolio selection in real investment situation. It is very important for experts or decision-makers to use their experience or knowledge to predict the performance of each stock and make a stock portfolio. Because of the knowledge, experience, and background of each expert are different and vague, different types of 2-tuple linguistic variable are suitable used to express experts' opinions for the performance evaluation of each stock with respect to criteria. According to the linguistic evaluations of experts, the linguistic TOPSIS and linguistic ELECTRE methods are combined to present a new decision-making method for dealing with stock selection problems in this paper. Once the investment set has been determined, the risk preferences of investor are considered to calculate the investment ratio of each stock in the investment set. Finally, an example is implemented to demonstrate the practicability of the proposed method.

Population structure of Cerastoderma glaucum and Abra ovata in Vouliagmeni Lagoon (Attiki)

2003 ◽  
Vol 83 (5) ◽  
pp. 1095-1097 ◽  
Author(s):  
E. Gontikaki ◽  
C. Antoniadou ◽  
C.C. Chintiroglou
Keyword(s):  
Population Structure ◽  
Brackish Waters ◽  
Cerastoderma Glaucum ◽  
Qualitative And Quantitative ◽  
Different Types

Two species of bivalves, Cerastoderma glaucum and Abra Ovata, typical inhabitants of brackish waters, were found in Vouliagmeni Lagoon. Seasonal qualitative and quantitative samples were extracted from the different types of the substratum during 1997–1998. Overall, 800 individuals of C. glaucum and 2700 individuals of A. ovata were collected and measured and their population structure studied.

scholarly journals FusionDN: A Unified Densely Connected Network for Image Fusion

2020 ◽  
Vol 34 (07) ◽  
pp. 12484-12491 ◽  
Author(s):  
Han Xu ◽  
Jiayi Ma ◽  
Zhuliang Le ◽  
Junjun Jiang ◽  
Xiaojie Guo
Keyword(s):  
Image Fusion ◽  
State Of The Art ◽  
Data Driven ◽  
Single Model ◽  
Connected Network ◽  
Qualitative And Quantitative ◽  
Multiple Tasks ◽  
Different Types ◽  
Fused Image ◽  
Quantitative Results

In this paper, we present a new unsupervised and unified densely connected network for different types of image fusion tasks, termed as FusionDN. In our method, the densely connected network is trained to generate the fused image conditioned on source images. Meanwhile, a weight block is applied to obtain two data-driven weights as the retention degrees of features in different source images, which are the measurement of the quality and the amount of information in them. Losses of similarities based on these weights are applied for unsupervised learning. In addition, we obtain a single model applicable to multiple fusion tasks by applying elastic weight consolidation to avoid forgetting what has been learned from previous tasks when training multiple tasks sequentially, rather than train individual models for every fusion task or jointly train tasks roughly. Qualitative and quantitative results demonstrate the advantages of FusionDN compared with state-of-the-art methods in different fusion tasks.

scholarly journals Electrochemical Sensor-Based Devices for Assessing Bioactive Compounds in Olive Oils: A Brief Review

Electronics ◽  
2018 ◽  
Vol 7 (12) ◽  
pp. 387 ◽  
Author(s):  
Ítala Marx ◽  
Ana Veloso ◽  
Luís Dias ◽  
Susana Casal ◽  
José Pereira ◽  
...  
Keyword(s):  
Olive Oil ◽  
Electrochemical Sensor ◽  
Bioactive Compounds ◽  
Sensory Quality ◽  
Main Research ◽  
Qualitative And Quantitative ◽  
Organoleptic Characteristics ◽  
Future Challenges ◽  
Commercial Applications ◽  
Olive Oil Analysis

Electrochemical bioinspired sensor devices combined with chemometric tools have experienced great advances in the last years, being extensively used for food qualitative and quantitative evaluation, namely for olive oil analysis. Olive oil plays a key role in the Mediterranean diet, possessing unique and recognized nutritional and health properties as well as highly appreciated organoleptic characteristics. These positive attributes are mainly due to olive oil richness in bioactive compounds such as phenolic compounds. In addition, these compounds enhance their overall sensory quality, being mainly responsible for the usual olive oil pungency and bitterness. This review aims to compile and discuss the main research advances reported in the literature regarding the use of electrochemical sensor based-devices for assessing bioactive compounds in olive oil. The main advantages and limitations of these fast, accurate, bioinspired voltammetric, potentiometric and/or amperometric sensor green-approaches will be addressed, aiming to establish the future challenges for becoming a practical quality analytical tool for industrial and commercial applications.

scholarly journals Epidemiology of feline urolithiasis in Mexico (2006–2017)

2019 ◽  
Vol 5 (2) ◽  
pp. 205511691988569
Author(s):  
Claudia I Mendoza-López ◽  
Javier Del-Angel-Caraza ◽  
María A Aké-Chiñas ◽  
Israel A Quijano-Hernández ◽  
Marco A Barbosa-Mireles
Keyword(s):  
Infrared Spectroscopy ◽  
Calcium Oxalate ◽  
Mineral Composition ◽  
Epidemiologic Study ◽  
Genetic Origin ◽  
Clinical Specimens ◽  
Qualitative And Quantitative ◽  
Different Types ◽  
Mineral Analyses ◽  
Age And Sex

Objectives The objectives of this study were to identify the proportions of different types of uroliths, characterize the population of cats that present with urolithiasis and determine possible predisposing factors in a population of Mexican cats. Methods This study analyzed clinical specimens of feline urolithiasis submitted to our laboratory in the period from 2006 to 2017. The mineral composition of the uroliths was determined by qualitative and quantitative mineral analyses, performed by stereoscopic microscopy and infrared spectroscopy. Results In the population studied, 54.3% of all uroliths were calcium oxalate, followed by 32.1% struvite and 7.4% purine (urate and xanthine) uroliths, with other types accounting for 6.2% of submissions. The male:female ratio was 1.2:1. Calcium oxalate submissions were predominantly from males and struvite submissions were predominantly from females. The age of the cats with stone submissions ranged from 6 months to 17 years. In cats with calcium oxalate uroliths, 52.3% were aged 7 years or older. Cats with struvite uroliths were younger, with 65.4% younger than 6 years of age. Almost 90% of all submitted uroliths were from domestic shorthair cats. Conclusions and relevance This is the first epidemiologic study of urolithiasis in cats in Mexico. Age and sex predispositions to common uroliths were identified, as males aged ≥7 years primarily presented with calcium oxalate uroliths and females aged <6 years primarily presented struvite uroliths. Cases of urolithiasis of genetic origin, including xanthinuria and cystinuria, were also detected, in addition to silicate uroliths.

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