Recognition, assessment and treatment of social anxiety disorder: summary of NICE guidance

Social anxiety disorder is one of the most persistent and common of the anxiety disorders, with lifetime prevalence rates in Europe of 6.7% (range 3.9-13.7%).1 It often coexists with depression, substance use disorder, generalised anxiety disorder, panic disorder, and post-traumatic stress disorder.2 It can severely impair a person’s daily functioning by impeding the formation of relationships, reducing quality of life, and negatively affecting performance at work or school. Despite this, and the fact that effective treatments exist, only about half of people with this condition seek treatment, many after waiting 10-15 years.3 Although about 40% of those who develop the condition in childhood or adolescence recover before adulthood,4 for many the disorder persists into adulthood, with the chance of spontaneous recovery then limited compared with other mental health problems. This article summarises the most recent recommendations from the National Institute for Health and Care Excellence (NICE) on recognising, assessing, and treating social anxiety disorder in children, young people, and adults.

CLOUD DEPLOYMENT MODELS FOR RESILIENCE INTERNET DISASTER RECOVERY: A REVIEW

Organizations of all sizes require safeguarding of their data on regular basis, which makes disaster recovery and backup procedures, a much desired responsibility. This paper reviewed the various cloud deployment models for resilience internet disaster recovery in cloud computing environment. The work was able to show the relevance of deployment of appropriate disaster recovery models in cloud computing environment that can help to improve quality of service and customer confidence in their service provider

Cloud Deployment Models for Resilience Internet Disaster Recovery: A Review

Organizations of all sizes require safeguarding of their data on regular basis, which makes disaster recovery and backup procedures, a much desired responsibility. This paper reviewed the various cloud deployment models for resilience internet disaster recovery in cloud computing environment. The work was able to show the relevance of deployment of appropriate disaster recovery models in cloud computing environment that can help to improve quality of service and customer confidence in their service provider

Development of an Enhanced Cloud Deployment Model for Resilient Internet Disaster Recovery and Management

Effective Internet disaster recovery and management is taking front burner consideration in organizations involved in Information Technology (IT) activities in order to safeguard their data and services on regular basis. When disaster, for instance knocks down the infrastructure of a single service provider, it usually will have ripple effect on the dependants that even a short period of down time can result in significant financial loss. Therefore, organizations may need disaster recovery plan or independent business continuity plan (IBCP) and backup policy that they can afford while at the same time achieving the primary aim of Recovery Point Objective (RPO) and Recovery Time Objective (RTO). This paper presents a hybrid of three Internet disaster recovery models of TAIJI, SECONDSITE and HS-DRT which can help organizations recover more quickly whenever Internet disaster occurred in their platforms. The system was developed using a combination of Structural System Analysis and Design Methodology (SSADM), Dynamic System and Development Methodology (DSDM) and Object Oriented and Design Methodology (OOADM). Java Enterprise (JEE) Technology in conjunction with NetBean1.0. Integrated Development Environment IDE were used at the front end, while MySQL server was used to implement the backend. The result obtained showed that a hybrid of Taji, SecondSite and HS-DRT which combined the features of; replication, duplication, server watch dog, check pointing, encryption, decryption, fragmentation, defragmentation and stateless services indicated an enhanced model for disaster recovery, since the deficiencies of each of those models hybridized were addressed through such features exhibited by the new model, which include; checksumming, compression and decompressio

Improving loan repayment in Ghana: Does financial literacy matter?

Loan defaults continue to be a major challenge that confronts financial institutions in developing countries and this impedes their potential role in sustainable development. Given the enormity of loan defaults, policymakers have devoted much attention to the phenomenon by implementing strategies and policies aimed at improving loan repayment to avert the situation. To complement the effort of policymakers, several empirical studies have also been conducted regarding loan repayment determinants; but what is worrying is that none of these studies emphasises the role of financial literacy, especially in the Ghanaian context. This study therefore examines the potential effect of financial literacy on loan repayment. We rely on primary data and employ the binary probit regression for the analysis. The results reveal a positive and significant relationship between financial literacy and loan repayment. This means that enhancing financial literacy improves loan repayment significantly which will in turn ensure sustainability of the financial institutions. The level of education of borrowers is also revealed to play a key role in loan repayment. Given the findings, the study sheds new lights on how loan repayment can be improved to ensure a vibrant banking sector