City University London

About: City University London is a education organization based out in London, United Kingdom. It is known for research contribution in the topics: Population & Health care. The organization has 5735 authors who have published 17285 publications receiving 453290 citations.

Sensory sensitivity, attachment experiences, and rejection responses among adults with borderline and avoidant features

Abstract: Both avoidant and borderline personality disorder (APD and BPD) are theoretically associated with temperamental vulnerabilities, adverse attachment experiences, and negative (pessimistic or catastrophic) reactions to the threat of perceived rejection; however, more work is needed to differentiate how these processes account for the etiology and maintenance of both disorders. In this study, 156 adults completed questionnaires measuring APD and BPD features, temperament (sensory-processing sensitivity), mood, and attachment experiences. A vignette task was devised to examine pessimistic cognitive-affective reactions in situations signaling potential rejection. Both APD and BPD were associated with temperamental sensitivity, but BPD was uniquely linked with a subscale measuring sensitivity to mental and emotive stimuli, whereas APD was uniquely linked with a subscale measuring the control and avoidance of aversive stimulation. Compared to APD, BPD was more strongly linked with negative moods (anxiety, anger, sadness) and insecure attachment to parents, whereas APD was more strongly linked (than BPD) to pessimistic cognitive-affective responses to rejection-related situations.

Artificial Neural Networks for Control of a Grid-Connected Rectifier/Inverter Under Disturbance, Dynamic and Power Converter Switching Conditions

Abstract: Three-phase grid-connected converters are widely used in renewable and electric power system applications. Traditionally, grid-connected converters are controlled with standard decoupled d-q vector control mechanisms. However, recent studies indicate that such mechanisms show limitations in their applicability to dynamic systems. This paper investigates how to mitigate such restrictions using a neural network to control a grid-connected rectifier/inverter. The neural network implements a dynamic programming algorithm and is trained by using backpropagation through time. To enhance performance and stability under disturbance, additional strategies are adopted, including the use of integrals of error signals to the network inputs and the introduction of grid disturbance voltage to the outputs of a well-trained network. The performance of the neural-network controller is studied under typical vector control conditions and compared against conventional vector control methods, which demonstrates that the neural vector control strategy proposed in this paper is effective. Even in dynamic and power converter switching environments, the neural vector controller shows strong ability to trace rapidly changing reference commands, tolerate system disturbances, and satisfy control requirements for a faulted power system.

Experiences of Receiving a Diagnosis of Autism Spectrum Disorder: A Survey of Adults in the United Kingdom

Abstract: A total of 128 adults with high-functioning autism spectrum disorders were surveyed concerning the process they went through to obtain their diagnosis and the subsequent support they received. Results suggested that routes to diagnosis were quite heterogeneous and overall levels of satisfaction with the diagnostic process were mixed; 40 % of respondents were ‘very/quite’ dissatisfied, whilst 47 % were ‘very/quite’ satisfied. The extent of delays, number of professionals seen, quality of information given at diagnosis and levels of post-diagnostic support predicted overall satisfaction with the diagnostic process. Important areas and suggestions for improvement were noted for all stages of the diagnostic pathway. Respondents also displayed above average levels of depressed mood and anxiety, with greater support being requested in this area.

Suicide Inside A Systematic Review of Inpatient Suicides

Abstract: The literature on inpatient suicides was systematically reviewed. English, German, and Dutch articles were identified by means of the electronic databases PsycInfo, Cochrane, Medline, EMBASE psychiatry, CINAHL, and British Nursing Index. In total, 98 articles covering almost 15,000 suicides were reviewed and analyzed. Rates and demographic features connected to suicides varied substantially between articles, suggesting distinct subgroups of patients committing suicide (e.g., depressed vs. schizophrenic patients) with their own suicide determinants and patterns. Early in the admission is clearly a high-risk period for suicide, but risk declines more slowly for patients with schizophrenia. Suicide rates were found to be associated with admission numbers, and as expected, previous suicidal behavior was found to be a robust predictor of future suicide. The methods used for suicide are linked to availability of means. Timing and location of suicides seem to be associated with absence of support, supervision, and the presence of family conflict. Although there is a strong notion that suicides cluster in time, clear statistical evidence for this is lacking. For prevention of suicides, staff need to engage with patients' family problems, and reduce absconding without locking the door. Future research should take into account the heterogeneous subgroups of patients who commit suicide, with case-control studies addressing these separately.