Interference and Morphological Recall in Young and Middle-aged Individuals

Recall refers to the retention of information, it involves three stages namely encoding, storage and retrieval. Interference in recall would arise when there is a competition at the stage of encoding. Recalling morphological information is assumed to load the cognitive-linguistic system and recalling the same information in the presence of competitor stimulus can evoke more taxing to the system. The current study was carried out with the aim of studying interference and recall in young and middle aged individuals. The participants were divided into two groups based on their age and each group comprised of 25 individuals. Free Recall and bound Recall task was administered on the participants. Participants in both the group secured less scores, however a statistically significant difference between the two groups was not seen showing that the middle aged adults were also able to perform in par with younger participants and decline in memory was not evident in this population, even in task with higher cognitive-linguistic complexity.

The information funnel: Exploiting named data for information-maximizing data collection

Abstract-This paper describes the exploitation of hierarchical data names to achieve information-utility maximizing data collection in social sensing applications. We describe a novel transport abstraction, called the information funnel. It encapsulates a data collection protocol for social sensing that maximizes a measure of delivered information utility, that is the minimized data redundancy, by diversifying the data objects to be collected. The abstraction leverages named-data networking, a communication paradigm where data objects are named instead of hosts. We argue that this paradigm is especially suited for utility-maximizing transport in resource constrained environments, because hierarchical data names give rise to a notion of distance between named objects that is a function of only the topology of the name tree. This distance, in turn, can expose similarities between named objects that can be leveraged for minimizing redundancy among objects transmitted over bottlenecks, thereby maximizing their aggregate utility. With a proper hierarchical name space design, our protocol prioritizes transmission of data objects over bottlenecks to maximize information utility, with very weak assumptions on the utility function. This prioritization is achieved merely by comparing data name prefixes, without knowing application-level name semantics, which makes it generalizable across a wide range of applications. Evaluation results show that the information funnel improves the utility of the collected data objects compared to other lossy protocols