Usability and Technological Opportunities for a Higher Isomerization Rate of α-Acids: A Review

2020 ◽  
Vol 79 (1) ◽  
pp. 17-25
Author(s):  
Nele Bastgen ◽  
Tobias Becher ◽  
Stephan Drusch ◽  
Jean Titze
Keyword(s):  
Isomerization Rate ◽  
Technological Opportunities

scholarly journals Responsible Urban Innovation with Local Government Artificial Intelligence (AI): A Conceptual Framework and Research Agenda

2021 ◽  
Vol 7 (1) ◽  
pp. 71
Author(s):  
Tan Yigitcanlar ◽  
Juan M. Corchado ◽  
Rashid Mehmood ◽  
Rita Yi Man Li ◽  
Karen Mossberger ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Local Government ◽  
Conceptual Framework ◽  
Research Agenda ◽  
Future Studies ◽  
Expert Team ◽  
Research Questions ◽  
Urban Problems ◽  
Technological Opportunities ◽  
Made In

The urbanization problems we face may be alleviated using innovative digital technology. However, employing these technologies entails the risk of creating new urban problems and/or intensifying the old ones instead of alleviating them. Hence, in a world with immense technological opportunities and at the same time enormous urbanization challenges, it is critical to adopt the principles of responsible urban innovation. These principles assure the delivery of the desired urban outcomes and futures. We contribute to the existing responsible urban innovation discourse by focusing on local government artificial intelligence (AI) systems, providing a literature and practice overview, and a conceptual framework. In this perspective paper, we advocate for the need for balancing the costs, benefits, risks and impacts of developing, adopting, deploying and managing local government AI systems in order to achieve responsible urban innovation. The statements made in this perspective paper are based on a thorough review of the literature, research, developments, trends and applications carefully selected and analyzed by an expert team of investigators. This study provides new insights, develops a conceptual framework and identifies prospective research questions by placing local government AI systems under the microscope through the lens of responsible urban innovation. The presented overview and framework, along with the identified issues and research agenda, offer scholars prospective lines of research and development; where the outcomes of these future studies will help urban policymakers, managers and planners to better understand the crucial role played by local government AI systems in ensuring the achievement of responsible outcomes.

scholarly journals Constructing Patent Maps Using Text Mining to Sustainably Detect Potential Technological Opportunities

2018 ◽  
Vol 10 (10) ◽  
pp. 3729 ◽  
Author(s):  
Hei Wang ◽  
Yung Chi ◽  
Ping Hsin
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Rapid Development ◽  
Word Sense Disambiguation ◽  
Current Method ◽  
Word Sense ◽  
Competitive Advantages ◽  
Patent Documents ◽  
Technological Opportunities

With the advent of the knowledge economy, firms often compete for intellectual property rights. Being the first to acquire high-potential patents can assist firms in achieving future competitive advantages. To identify patents capable of being developed, firms often search for a focus by using existing patent documents. Because of the rapid development of technology, the number of patent documents is immense. A prominent topic among current firms is how to use this large number of patent documents to discover new business opportunities while avoiding conflicts with existing patents. In the search for technological opportunities, a crucial task is to present results in the form of an easily understood visualization. Currently, natural language processing can help in achieving this goal. In natural language processing, word sense disambiguation (WSD) is the problem of determining which “sense” (meaning) of a word is activated in a given context. Given a word and its possible senses, as defined by a dictionary, we classify the occurrence of a word in context into one or more of its sense classes. The features of the context (such as neighboring words) provide evidence for these classifications. The current method for patent document analysis warrants improvement in areas, such as the analysis of many dimensions and the development of recommendation methods. This study proposes a visualization method that supports semantics, reduces the number of dimensions formed by terms, and can easily be understood by users. Since polysemous words occur frequently in patent documents, we also propose a WSD method to decrease the calculated degrees of distortion between terms. An analysis of outlier distributions is used to construct a patent map capable of distinguishing similar patents. During the development of new strategies, the constructed patent map can assist firms in understanding patent distributions in commercial areas, thereby preventing patent infringement caused by the development of similar technologies. Subsequently, technological opportunities can be recommended according to the patent map, aiding firms in assessing relevant patents in commercial areas early and sustainably achieving future competitive advantages.

scholarly journals Selecting a Green, Agile and Industry 4.0 Supplier With the Fuzzy-Swara-Bwm Integrated Method

2021 ◽  
Author(s):  
Mehmet Ali Tas ◽  
Serap Akcan
Keyword(s):  
Supply Chains ◽  
Industry 4.0 ◽  
Supplier Selection ◽  
Three Dimensions ◽  
Market Structures ◽  
The Public ◽  
Integrated Method ◽  
Decision Making Processes ◽  
Technological Opportunities

Abstract Businesses establish supply chains in order to continue their activities. Choosing the suppliers to take part in these supply chains poses many challenges in rapidly changing conditions. Environmental concerns in the public, competitive market structures, and developing technological opportunities affect the decision-making processes. Different criteria are taken into consideration instead of traditional criteria such as cost and service. In this study, green, agile, and Industry 4.0 dimensions and the criteria under these dimensions are defined. According to these, the problem of selecting the supplier that responds to the expectations of the markets and enables them to increase their competitiveness was discussed. Fuzzy SWARA and fuzzy BMW methods were applied in an integrated way to solve the supplier selection problem under these three dimensions. A real case study was also presented. In the study, the results obtained by creating different scenarios were compared and sensitivity analysis was made. The results obtained show that the hybrid method developed in this study is effective in supplier selection problems. As a result of the study, the most important evaluation dimension is "agile" and the most important criterion is "delivery speed".

scholarly journals Experiences of Graduate Students in Turkish Education During the Covid-19 Pandemic Process

2021 ◽  
Vol 12 (5) ◽  
pp. 60
Author(s):  
Nurşat Bi̇çer ◽  
Yakup Alan ◽  
Fatih Can
Keyword(s):  
Qualitative Research ◽  
Content Analysis ◽  
Graduate Students ◽  
Doctoral Students ◽  
Study Group ◽  
Time Saving ◽  
Face To Face ◽  
Interview Guide ◽  
Technological Opportunities ◽  
Turkish Education

The aim of this study is to reveal the experiences of graduate students in the field of Turkish education during the pandemic process. Phenomenology design, one of the qualitative research methods, was used in the research. The sample of the research consists of graduate and doctoral students studying at different universities. Easily accessible case sampling was used to determine the study group. The data of the study were collected with the interview guide prepared by the researchers and given the final shape after the expert opinion was taken. The study group was reached by using internet tools (Zoom) and data were collected. The content analysis of data was made. As a result of the research, it was seen that during the pandemic process graduate students experienced advantages such as increased technological opportunities, accessing to online materials easily, time saving and efficient studying opportunities. However, disadvantages such as inefficient lessons, lack of interaction, inability to focus on lessons, data collection problems, and inability to benefit from libraries were also revealed as problems experienced by graduate students. Students expect technological opportunities to continue, but to ensure normalization in some issues that cannot be resolved with these opportunities. They think that face-to-face education is more qualified, communication is better, and research can be done more effectively.

Sign in / Sign up

Export Citation Format

Share Document