74 research outputs found

    An EEG Investigation In Depression: The Effect Of Cognitive Processing

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    Among clinical populations, depression patients tend to show impaired memory performance both in working memory and associative memory accompanied with disorders in neural activity in the DLPFC. However, it is unclear whether these deficits are related to selective deficits in different levels of processing, possibly due to a dysfunction of cognitive processing mediated by the prefrontal cortex. In order to investigate this possibility, the present study recruited individuals with high, moderate and low depression to examine the electrophysiological effects of cognitive processing in working memory and long-term memory with electroencephalography (EEG). As hypothesized, individuals with low depression showed a memorial benefit for deeper semantic processing whereas individuals with moderate and high depression did not. These findings provide supporting evidence of associative processing deficits among individuals with depression due to dysregulation of the frontal executive regions

    An EEG Investigation of a Depressive Self-Schema Related to Levels of Processing in Individuals With High Depressive Symptomatology

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    Individuals with high depressive symptomatology have better memory for negative events than positive events. The preferential processing of negative information supports the theory of a depressive self-schema in individuals diagnosed with depression (Beck, 1979). Processing information through a depressive self-schema (or mindset) can perpetuate negative rumination and worsen the symptoms related to depression. Although it is well established that individuals with high depressive symptomatology remember more unpleasant information than positive or neutral information, not as much is known about whether or not these individuals possess a selective bias for processing depression-related unpleasant information (i.e., words such as lonely, sadness, lethargy) over other unpleasant information (i.e., words such as rotten, seasick, victim). To investigate this phenomenon, electroencephalography (EEG) was used to measure the temporal resolution of brain activity while individuals who score high and low in symptoms of depression participated in an event-related memory task involving unpleasant (depression-related and general) and neutral words. Contrary to the initial hypothesis, individuals with high depressive symptomatology did not show a selective memory benefit for unpleasant depression-related information over and above generally unpleasant and neutral information at all levels of processing. Nor did they exhibit within-group differences in event-related potential (ERPs) corresponding to processing depression-related content versus generally unpleasant content. However, individuals with high depressive symptomatology did exhibit between-group differences in mean reaction time, ERPs, and alpha band activity in comparison to individuals with low depressive symptomatology. These findings provide supporting evidence of a distinction in implicit processing (i.e. mean reaction time) and neural processing (i.e. ERPs related to unpleasant and neutral processing) between groups of high and low depressive symptomatology

    Demonstrating Churn Diagrammatically

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    "Churn" is a key statistical indicator reflecting the attrition/turnover of customers or employees of a business, or users of a service. The Nomogramma di Gandy (NdiG) is a novel method that can compare "Churn" across many organisations, and which should be taught in postgraduate business courses. Examples include International Trade, Populations and Staff. Objectives The NdiG is shown to be a novel technique that can be used to in postgraduate education to show entrepreneurs and business people about the key concept of “Churn”, which can greatly influence marketing and business strategies, and workforce planning. It is suggested that the NdiG could be included as a standard in statistical education modules in postgraduate business courses. Prior Work The NdiG has been regularly used in Italy for many years to show the mobility of hospital patients between geographical areas. Exploratory work by Professor Franci of Urbino University and the author has established that the NdiG can be used as a generic analytical tool and presentation method, which can be applied to a wide range of fields. Approach The basic assumptions and requirements underpinning the NdiG were revisited and analysed, with a view to establishing how and where it could be made transferable to other fields of interest, particularly “Churn”. An iterative approach was then adopted: obtaining relevant data and applying it to the NdiG to see if the results would make sense to (potential) users in the fields concerned. This enabled the set conventions and criteria to be confirmed. Results The results of applying the NdiG to the concept of “Churn” are presented for International Trade and Population movement between English regions, together with a description of a Staff Turnover situation. Examples are provided of how the NdiG can be used to show changes over time. Implications The implications of using the NdiG to demonstrate “Churn” is that business people and market researchers have a user-friendly presentation from which inferences can be readily drawn, which in turn can inform marketing, business and workforce strategies. The nature and detail of the NdiG is such that it is best taught, with examples provided, so that students can explore how it might be relevant to their own circumstances. Value The NdiG is a straightforward technique that requires limited data, but which can present a complex situation in a way that enables inferences to be readily made. Therefore it is an important tool that can be used by to demonstrate “Churn”, and support reflective thinking and Action Learning

    Mobile Press-Register sleeve MP0093677

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    Bernadette G. Oldemoppen, author of Father Ryan biography / (Father Ryan Square in downtown Mobile
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