It is absolutely true to state that the role of an individual personality traits makes them more adaptable and comfortable to certain jobs. Selecting a career on the basis of your personality feature can result in a pleasant outcome. For example, if an individual is introvert, and if he chooses to become an anchor, just because it has a greater scope, tell me, can he thrive in this profession for a longer period of time?
Whenever, we hear such term in our day-to-day life, the first things that comes to our mind is of famous personalities, like Virat Kohli; Sachin Tendulker or Narendra Modi, etc. Not only this, we inspire from them and try to become like them, and in this process, we might lose our uniqueness. However, we never try to understand that what does personality actually mean?
We observed that generally the embedding representation is very rich and information dense. For example, reducing the dimensionality of the inputs using SVD or PCA, even by 10%, generally results in worse downstream performance on specific tasks.
Guided by the risk information-seeking and processing model, this study examines positive and negative affect separately in their influence on information-seeking intentions and avoidance through structural equation analyses. The highlight is that information avoidance seems to be driven by positive affect, while information seeking seems to be more heavily influenced by negative affect. Another interesting finding is that informational subjective norms are positively related to both seeking and avoidance, which suggests that one’s social environment has the potential to strongly influence the way he or she handles climate change information. Implications for theory and practice are discussed.
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome - GitHub - jerryji1993/DNABERT: DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
U. Farooq, C. Lam, и H. Li. ACST'07: Proceedings of the third conference on IASTED International Conference, стр. 128--133. Anaheim, CA, USA, ACTA Press, (2007)
A. van Lamsweerde. ICSE '00: Proceedings of the Conference on The Future of Software Engineering, стр. 147--159. New York, NY, USA, ACM, (2000)MR: Wertvoll wegen dem Überblick über formale Spezifikations- und somit Modell-Paradigmen..
J. Calame, N. Ioustinova, и J. van de Pol. Electronic Notes in Theoretical Computer Science, (октября 2007)MR: Stark formalisiertes und mathematisch ergründetes Werk.
Basierend auf der Spezifikation des IUT (gegeben in LTS) wird der Lösungsraum durch data abstraction eingeengt (mittels µCRL). Mittels enumerativ tools (wie TGV) werden dann abstrakte Testfälle generiert. Die konkreten Daten (Ein und Ausgaben!) werden mittels constraint-solving techniques (mittels Prolog) ermittelt.
Future Work soll ermöglichen UML-Spezifikationen als Eingabe zu erlauben und die Testfälle sollen in TTCN-3 generiert werden!
Spätestens dann wird dieser Ansatz für IST-SPL sehr interessant..
H. Klus, D. Niebuhr, и A. Rausch. ICEBE '07: Proceedings of the IEEE International Conference on e-Business Engineering, стр. 600-603. Hong Kong, China, IEEE Computer Society, (октября 2007)
H. Klus, D. Niebuhr, и A. Rausch. Proceedings of the International Workshop on Engineering of software services for pervasive environments (ESSPE 2007), стр. 21--28. Dubrovnik, Croatia, ACM, (сентября 2007)Electronic Proceedings.
A. Rajan, M. Whalen, и M. Heimdahl. ICSE '08: Proceedings of the 30th international conference on Software engineering, стр. 161--170. New York, NY, USA, ACM, (2008)MR: nuetzlich fuer IST-SPL nur wegen der Referenzen auf eingesetzte Techniken zur ' Test Case Generation using model checkers '..