During the last 30 years the scope of biocatalysis has been expanding due to the advances in several technological fields.
Based on the concept of Open CAI 2.0 introduced by Hüsig and Kohn (2011), this paper goes further by proposing a prototype software tool for the next evolutionary step of CAI arising from two major recent developments: new advances in technological possibilities in the software field commonly referred to as "Web 2.0" and a strategic paradigm shift from closed to open innovation in many companies.
This field is a paradigmatic example of the gap between current practice and advances in technological imaging.
Technological advances in the fields of communication, social media, and education generally have afforded new ways of connecting and working with students.
However, there are still wide gaps in our knowledge about strategies to minimise the risks of injuries to the ridden horse, and a need for further research making use of technological advances in the fields of equine biomechanics with the results applied in equitation science.
In this work we examine how opportunities arising from technological advances in the fields of IoT and semantics can be used to develop smart, self-organizing exhibits that cooperate with each other and provide visitors with comprehensible, rich, diverse, personalized and highly stimulating experiences.
In addition, technological advances in other fields have also accelerated the development of synthetic DNA structures [12 16].
It is interesting to note that technological advances in the fields of computing, machine learning, nanotechnology and electronics are all playing a role in helping reshape the industry.
At the same time, technological advances in the fields of energy-saving and renewable energies during the period 2030 2040 are expected to be insufficient to curb the increase in CO2 emissions [8].
The recent technological advances in the fields of micro-electronic, wireless communication along with reduction of production costs have motivated the development of a novel generation of wireless networks.
One school of scientists preferred to reduce disease down to a molecular level and study its pathogenic mechanisms, especially given technological advances in the fields of biology and genetics (Vandenbroucke 1988).
