Narrative identity among people with disabilities during the COVID-19 pandemic: The interdependent self

This study examines narrative identity among a large, diverse (American) sample of people with disabilities (PWDs) during the “second wave” of the COVID-19 pandemic (October-December, 2020). The study relied on abductive analyses, combining a purely inductive phase of inquiry followed by two rounds of investigation that filtered inductive insights through three theoretical lenses: social-ecological theory, the theory of narrative identity, and perspectives from the interdisciplinary field of disability studies. The central result was the identification of a particular configuration of self, one that was demonstrably interdependent with both immediate interpersonal contexts and with broader cultural contexts. This interdependent self was interpreted in both positive and negative ways by PWDs. These findings invite future inquiry into commonplace conceptualizations of an independent self at the center of personality research.

Adding Context into Classification Reasoning Based on Good Classification Tests

In this chapter, classification reasoning is considered. The concept of good classification test lies in the foundation of this reasoning. Inferring good classification tests from data sets is the inductive phase of reasoning resulted in generating implicative and functional dependencies supporting the deductive phase of reasoning. An algorithm of inferring good classification tests is given with the decomposition of it into subtasks allowing to choose sub-contexts for each obtained dependency and to control sub-contexts during both deductive and inductive phases of classification reasoning.

Flowering under short days: juvenile period and inductive phase estimates in soybean genotypes.

The success in adapting Brazilian soybean cultivars to low latitude regions was attained thanks to the incorporation of the late flowering trait into the germplasm used by breeders. The objective of the presente work was to establish a methodology to estimate the juvenile period and the inductive phase of soybean genotypes. A total of 11 cultivars representing the successful trajectory of the genetic progress of soybean breeding in Brazil were used. The experiments were done under greenhouse conditions in the city of Cambé, PR, Brazil. Seeds were germinated at 14 days intervals and, after emergence, the plants were subjected to continuous light for periods varying from 0 to 56 days. The number of days for flowering under the diferente light regimes and sowing times was evaluated. A decreasing exponential regression model was adjusted, through the differences between the maximum and minimum partial points of the function, in order to estimate the juvenile period. Results showed that, except for ‘Viçoja’, all the other cultivars fitted into the model. ‘Paraná’ had an almost linear behavior with the equilibrium point at the zero value. ‘Paranagoiana’ was the cultivar with the largest and most significant juvenile period while ‘Viçoja’ and ‘ÚFV-1’ showed the lowest juvenile period. The methodology developed appeared to be robust and was validated by the known behavior of such cultivars when sowed under short day conditions that occurs either in low latitudes or anticipated and delayed sowing seasons