Selection of Saccharomyces eubayanus strains from Patagonia (Argentina) with brewing potential and performance in the craft beer industry

2021 ◽  
Author(s):  
Julieta Amalia Burini ◽  
Juan Ignacio Eizaguirre ◽  
Claudia Loviso ◽  
Diego Libkind
Keyword(s):  
Craft Beer ◽  
Beer Industry ◽  
And Performance ◽  
Saccharomyces Eubayanus ◽  
Selection Of

Non-economic impact of craft brewery visitors in British Columbia: A quantitative analysis

2021 ◽  
Author(s):  
Jarrett R. Bachman ◽  
John S. Hull ◽  
Byron Marlowe
Keyword(s):  
British Columbia ◽  
Positive Impact ◽  
Sustainable Growth ◽  
Wine Industry ◽  
Future Research ◽  
Craft Beer ◽  
Beer Industry ◽  
Self Image ◽  
Gender Education ◽  
Global Growth

The number of craft breweries in British Columbia has grown significantly in recent years,numbering over 140 in 2017. Very little is known about the effects of the craft brewery industryin British Columbia, specifically as it relates to impacts not related to brewery revenue and jobcreation. Beyond British Columbia, the craft beer industry has not empirically examined non-revenue impacts in a manner that reflects the global growth of the sector. Tourism experiences,such as those offered by craft breweries, are becoming increasingly important for resilience and sustainable growth and success of destinations. The goal of this research was to determine whovisitors to craft breweries are, how tourist and resident patrons differ, and what effects craftbreweries have on tourists who visit breweries. A 55 item survey was distributed at 11 craftbreweries in three regions in British Columbia during the summer of 2017. Results founddifferences between tourist and resident patrons in self-image congruency, age and travel partysize, but no difference in gender, education, or household income. From a tourism standpoint, itwas found that memories have a significant, positive impact on loyalty regarding the breweryand the destination. For tourists, strong connections were found between social involvement andboth authenticity and place attachment for those who were more socially involved in craft beer.Comparisons to previous research in the wine industry provide additional commentary.Implications for craft breweries, destinations, and future research in this area are discussed.

Optimal adaptive inspection and maintenance for redundant systems

2021 ◽  
pp. 1748006X2110201
Author(s):  
Chaochao Lin ◽  
Matteo Pozzi
Keyword(s):  
Engineering Systems ◽  
Discounted Cost ◽  
Markov Decision ◽  
Inspection And Maintenance ◽  
And Performance ◽  
Partially Observable ◽  
Series Systems ◽  
Selection Of ◽  
Redundant Systems

Optimal exploration of engineering systems can be guided by the principle of Value of Information (VoI), which accounts for the topological important of components, their reliability and the management costs. For series systems, in most cases higher inspection priority should be given to unreliable components. For redundant systems such as parallel systems, analysis of one-shot decision problems shows that higher inspection priority should be given to more reliable components. This paper investigates the optimal exploration of redundant systems in long-term decision making with sequential inspection and repairing. When the expected, cumulated, discounted cost is considered, it may become more efficient to give higher inspection priority to less reliable components, in order to preserve system redundancy. To investigate this problem, we develop a Partially Observable Markov Decision Process (POMDP) framework for sequential inspection and maintenance of redundant systems, where the VoI analysis is embedded in the optimal selection of exploratory actions. We investigate the use of alternative approximate POMDP solvers for parallel and more general systems, compare their computation complexities and performance, and show how the inspection priorities depend on the economic discount factor, the degradation rate, the inspection precision, and the repair cost.

scholarly journals A Multiple Criteria Decision Making Method to Weight the Sustainability Criteria of System Selection for Surface Mining

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3066
Author(s):  
Michał Patyk ◽  
Przemysław Bodziony ◽  
Zbigniew Krysa
Keyword(s):  
Decision Making ◽  
Performance Assessment ◽  
Multiple Criteria Decision Making ◽  
Surface Mining ◽  
Open Pit ◽  
Mining Equipment ◽  
Surface Mines ◽  
Mining Conditions ◽  
And Performance ◽  
Selection Of

Selection and assessment of mining equipment used in open pit rock mines relies chiefly on estimates of overall exploitation cost. The rational arrangement of mining equipment and systems comprising loading machines, haul trucks and crushing plants should be preceded by a thorough analysis of technical and economic aspects, such as investment outlays and the costs of further exploitation, which largely determine the costs of mining operations and the deposit value. Additionally, the operational parameters of the mining equipment ought to be considered. In this study, a universal set of evaluation criteria has been developed, and an evaluation method has been applied for the selection of surface mining equipment and the processing system to be operated in specific mining conditions, defined by the user. The objective of this study is to develop and apply the new methodology of multi-criteria selection of open pit rock mining equipment based on multiple criteria decision-making (MCDM) procedures, to enable the optimization of loading, handling and crushing processes. The methodology, underpinned by the principles of MCDM, provides the dedicated ranking procedures, including the ELECTRE III. The applied methodology allows the alternative options (variants) to be ranked accordingly. Ultimately, a more universal methodology is developed, applicable in other surface mines where geological and mining conditions are similar. It may prove particularly useful in selection and performance assessment of mining equipment and process line configurations in mining of low-quality rock deposits. Therefore, we undertook to develop universal criteria and applications for the selection and performance assessment of process machines for surface mines, taking into account environmental aspects as well as deposit quality.

Beer and Racism

2020 ◽  
Author(s):  
Nathaniel Chapman ◽  
David Brunsma
Keyword(s):  
United States ◽  
The United States ◽  
Racial Ideology ◽  
Historical Trends ◽  
Craft Beer ◽  
Origin Stories ◽  
Beer Industry ◽  
White Institutions ◽  
Theoretical Perspectives ◽  
History Of

Beer in the United States has always been bound up with race, racism, and the construction of white institutions and identities. This unique book carves a much-needed critical and interdisciplinary path to examine and understand the racial dynamics in the craft beer industry and the popular consumption of beer. The book's guiding theoretical perspectives are race and the founding of the United States; racial ideology and the boundaries of Americanity; the production of (beer as) culture; and cultural diversity and brewing. It begins with an overview of the whiteness of craft beer. Looking at the history of beer and its origin stories in the 'new world' shows that beer in the United States has always been bound up with race, racism, and the construction of white institutions and identities. Given the very quick and meteoric rise of the craft beer industry, as well as the myopic scholarly focus on economic and historical trends in the industry, the book states that there is an urgent need to take stock of the intersectional inequalities that such realities gloss over.

scholarly journals GENETIC DIVERGENCE AND MORPHO-AGRONOMIC PERFORMANCE OF JATROPHA CURCAS L. CLONES FOR SELECTION OF CLONAL VARIETIES

2016 ◽  
Vol 29 (4) ◽  
pp. 841-849
Author(s):  
ADRIANA QUEIROZ DE ALMEIDA ◽  
SIMONE ALVES SILVA ◽  
VANESSA DE OLIVEIRA ALMEIDA ◽  
DEOCLIDES RICARDO DE SOUZA ◽  
GILMARA DE MELO ARAÚJO
Keyword(s):  
Genetic Diversity ◽  
Multivariate Analysis ◽  
Plant Height ◽  
Genetic Divergence ◽  
Morphological Characterization ◽  
Stem Diameter ◽  
Agronomic Performance ◽  
And Performance ◽  
Lower Contribution ◽  
Selection Of

ABSTRACT The knowledge about genetic diversity of jatropha crop is important for genetic conservation resources and breeding of this species. The aim of this study was to evaluate the genetic diversity and performance of jatropha clones through morphological characterization to selection of clonal varieties for biofuels production. The clones were obtained through shoot cuttings from previous selection in a population of half-sibs progenies. The morphoagronomic analyses of clones was carried out at 180 days after transplantation and were evaluated plant height, stem diameter, number of primary branches and number of secondary branches, number of bunches and number of fruits per plant. Evaluating clones performance, significant results were found for the number of secondary branches. About analysis of genetic diversity, the measures of dissimilarity genetic varied from 0.62 to 13.11, this way, the UFRBPR14 and UFRBPR15 clones were more divergent. The Tocher method was efficient to verify formation of four groups. The characteristics that most contributed to the divergence among clones were branches number, height and number of bunches, and, stem diameter had lower contribution. The jatropha clones differed only in the secondary branches number and multivariate analysis showed divergence among the jatropha clones with formation of four groups. Also, branches number, plant height and number of bunches were characteristic that contributed to genetic divergence.

scholarly journals Derivation and Performance of Standardized Enhanced Liver Fibrosis (ELF) Test Thresholds for the Detection and Prognosis of Liver Fibrosis

2019 ◽  
Vol 3 (5) ◽  
pp. 815-826 ◽  
Author(s):  
James Day ◽  
Preya Patel ◽  
Julie Parkes ◽  
William Rosenberg
Keyword(s):  
Liver Fibrosis ◽  
Delphi Panel ◽  
Test Results ◽  
Hazard Ratios ◽  
Test Thresholds ◽  
And Performance ◽  
Using Data ◽  
Relationship Of ◽  
The Relationship ◽  
Selection Of

Abstract Introduction Noninvasive tests are increasingly used to assess liver fibrosis and determine prognosis but suggested test thresholds vary. We describe the selection of standardized thresholds for the Enhanced Liver Fibrosis (ELF) test for the detection of liver fibrosis and for prognostication in chronic liver disease. Methods A Delphi method was used to identify thresholds for the ELF test to predict histological liver fibrosis stages, including cirrhosis, using data derived from 921 patients in the EUROGOLF cohort. These thresholds were then used to determine the prognostic performance of ELF in a subset of 457 patients followed for a mean of 5 years. Results The Delphi panel selected sensitivity of 85% for the detection of fibrosis and >95% specificity for cirrhosis. The corresponding thresholds were 7.7, 9.8, and 11.3. Eighty-five percent of patients with mild or worse fibrosis had an ELF score ≥7.7. The sensitivity for cirrhosis of ELF ≥9.8 was 76%. ELF ≥11.3 was 97% specific for cirrhosis. ELF scores show a near-linear relationship with Ishak fibrosis stages. Relative to the <7.7 group, the hazard ratios for a liver-related outcome at 5 years were 21.00 (95% CI, 2.68–164.65) and 71.04 (95% CI, 9.4–536.7) in the 9.8 to <11.3 and ≥11.3 subgroups, respectively. Conclusion The selection of standard thresholds for detection and prognosis of liver fibrosis is described and their performance reported. These thresholds should prove useful in both interpreting and explaining test results and when considering the relationship of ELF score to Ishak stage in the context of monitoring.

scholarly journals Entrepreneurial Mindset and Performance of Small and Medium Scale Enterprises in Makurdi Metropolis, Benue State-Nigeria

2018 ◽  
Vol 6 (2) ◽  
pp. 124-146 ◽  
Author(s):  
Emmanuel Lubem Asenge ◽  
Hembadoon Sarah Diaka ◽  
Alexander Terna Soom
Keyword(s):  
Social Sciences ◽  
Risk Taking ◽  
Sampling Method ◽  
Critical Factor ◽  
Major Effect ◽  
Policy Makers ◽  
Medium Scale ◽  
Business Opportunities ◽  
And Performance ◽  
Selection Of

Many studies indicates that entrepreneurial mindset is a critical factor in the accumulation, evaluation and selection of the knowledge which can lead an individual into potential business opportunities thereby enhancing entrepreneurial outcomes such as firm performance. This study examined the effect of entrepreneurial mindset on the performance of small and medium scale enterprises in Benue State. The focus of the research was to measure the entrepreneurs’ mindset exhibited through innovativeness, creativity, business alertness and risk taking and how these attributes contributed to the performance of SMEs. The research focused on a population of 650 small and medium scale enterprises based in Makurdi metropolis. A questionnaire was used to collect data from a sample of 250 SMEs in Makurdi metropolis which were selected through stratified random sampling method. Collected data were analyzed using descriptive and inferential statistics with the aid of Statistical Package for Social Sciences (SPSS). Correlation and multiple regression analysis were employed to analyse the data and test the hypotheses. The study revealed that innovativeness, creativity, business alertness and risk taking were significant in affecting performance of SMEs. The study concluded that entrepreneurial mindset or lack of it has a major effect on SMEs performance and if any economy is bended towards development and growth, it would have to embrace this concept. It recommended that all the policy makers and all stake holders should re-strategize and create forums that can promote entrepreneurial mindset among the existing and potential entrepreneurs.

scholarly journals Evaluating the Greenhouse Gas Emissions in the Craft Beer Industry: an Assessment of Challenges and Benefits of Greenhouse Gas Accounting

2018 ◽  
Author(s):  
Rachel Shin ◽  
Cory Searcy
Keyword(s):  
Greenhouse Gas ◽  
Ghg Emissions ◽  
Secondary Data ◽  
Data Availability ◽  
Structured Interviews ◽  
Carbon Regulation ◽  
Craft Beer ◽  
Beer Industry ◽  
Bottle Production

A growing number of companies in the brewery industry have made commitments to measure and reduce their greenhouse gas (GHG) emissions. However, many brewers, particularly craft brewers with relatively low rates of production, have struggled to meet these commitments. The purpose of this research was to investigate the challenges and benefits of measuring and reducing GHG emissions in the craft brewery industry. The research was conducted in Ontario, Canada, which has seen strong recent growth in the craft brewery industry. A case study and semi-structured interviews among Ontario Craft Brewers were conducted. The case study found that indirect (scope 3 emissions under the WBCSD & WRI GHG Protocol) GHG sources accounted for 46.4% of total GHGs, with major sources from barley agriculture, malted barley transportation, and bottle production. Direct emissions (scope 1) accounted for only 14.9% of GHGs, while scope 2 emissions, comprised mainly of energy consumption, accounted for 38.7% of GHGs. The case study and interviews found that the main challenges in calculating brewery GHGs are secondary data availability, technical knowledge, and finances. The study also found that the main benefits for Ontario breweries to measure their GHGs include sustainability marketing and preserving the environment. The interviews also found a poor understanding of carbon regulation among Ontario Craft Brewers, which is interesting considering that Ontario implemented a provincial cap and trade program in 2017.

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