904 resultados para internet based services


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Current advanced cloud infrastructure management solutions allow scheduling actions for dynamically changing the number of running virtual machines (VMs). This approach, however, does not guarantee that the scheduled number of VMs will properly handle the actual user generated workload, especially if the user utilization patterns will change. We propose using a dynamically generated scaling model for the VMs containing the services of the distributed applications, which is able to react to the variations in the number of application users. We answer the following question: How to dynamically decide how many services of each type are needed in order to handle a larger workload within the same time constraints? We describe a mechanism for dynamically composing the SLAs for controlling the scaling of distributed services by combining data analysis mechanisms with application benchmarking using multiple VM configurations. Based on processing of multiple application benchmarks generated data sets we discover a set of service monitoring metrics able to predict critical Service Level Agreement (SLA) parameters. By combining this set of predictor metrics with a heuristic for selecting the appropriate scaling-out paths for the services of distributed applications, we show how SLA scaling rules can be inferred and then used for controlling the runtime scale-in and scale-out of distributed services. We validate our architecture and models by performing scaling experiments with a distributed application representative for the enterprise class of information systems. We show how dynamically generated SLAs can be successfully used for controlling the management of distributed services scaling.

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Internet-delivered self-help with minimal therapist guidance has shown promising results for a number of diagnoses. Most of the evidence comes from studies evaluating standardized disorder-specific treatments. A recent development in the field includes transdiagnostic and tailored Internet-based treatments that address comorbid symptoms and a broader range of patients. This study evaluated an Internet-based tailored guided self-help treatment, which targeted symptoms of social anxiety disorder, panic disorder with or without agoraphobia, and generalized anxiety disorder. The tailored treatment was compared both with standardized disorder-specific Internet-based treatment and with a wait-list control group. Both active treatment conditions were based on cognitive-behavioral therapy and lasted for 8 weeks. A total of 132 individuals meeting diagnostic criteria for at least one of the anxiety disorders were randomly assigned to 1 of the 3 conditions. Both treatment groups showed significant symptom reductions as compared with the wait-list control group on primary disorder-unspecific measures of anxiety, depression, and general symptomatology and on secondary anxiety disorder-specific measures. Based on the intention-to-treat sample, mean between-group effect sizes were d = 0.80 for the tailored treatment and d = 0.82 for the standardized treatment, versus wait-list controls. Treatment gains were maintained at 6-month follow-up. No differences were found between the 2 active treatment conditions on any of the measures, including a telephone-administered diagnostic interview conducted at posttreatment. The findings suggest that both Internet-based tailored guided self-help treatments and Internet-based standardized treatments are promising treatment options for several anxiety disorders

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Worldwide, Gerhard Andersson is one of the most influential researchers working on internet-based psychological treatments. Moreover, he is also one of the leading researchers in the field of psychologically oriented tinnitus research. He is full professor of clinical psychology at Linköping University and affiliated professor at the Karolinska Institute in Stockholm at the Department of Clinical Neuroscience, Section Psychiatry. Professor Andersson has been highly productive, having produced more the 300 scientific papers. During his whole career he has worked part-time with patients. Apart from his own research and clinical work, Professor Andersson has editorial responsibilities for several journals including Cognitive Behaviour Therapy, Plos One, BMC Psychiatry, and Scandinavian Journal of Psychology. The interview was conducted by Professor Thomas Berger.

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Internet-based interventions hold specific advantages and disadvantages in the treatment of social anxiety disorder (SAD). The present review examines different approaches in the internet-based treatment of SAD and reviews their efficacy and effectiveness. 21 studies investigated the potential of guided and unguided internetbased cognitive-behavioral treatments (ICBT) for SAD, comprising a total of N = 1,801 socially anxious individuals. The large majority of these trials reported substantial reductions of social anxiety symptoms through ICBT programs. Within effect sizes were mostly large and comparisons to waitlist and more active control groups were positive. Treatment gains were stable from 3 months to 5 years after treatment termination. In conclusion, ICBT is effective in the reduction of social anxiety symptoms. At the same time, not all participants benefit from these treatments to a sufficient degree. Future research should focus on what makes these interventions work in which patient populations, and at the same time, examine ways to implement internet-based treatment in the routine care for socially anxious patients

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A number of controlled trials have demonstrated the efficacy of Internet-based cognitive-behaviour therapy for treating social anxiety disorder (SAD). However, little is known about what makes those interventions work. The current trial focuses on patient expectations as one common mechanism of change. The study examines whether patients' expectancy predicts outcome, adherence, and dropout in an unguided Internet-based self-help programme for SAD. Data of 109 participants in a 10-week self-help programme for SAD were analysed. Social anxiety measures were administered prior to the intervention, at week 2, and after the intervention. Expectancy was assessed at week 2. Patient expectations were a significant predictor of change in social anxiety (β = - .35 to - .40, all p < .003). Patient expectations also predicted treatment adherence (β = .27, p = .02). Patients with higher expectations showed more adherence and better outcome. Dropout was not predicted by expectations. The effect of positive expectations on outcome was mediated by early symptom change (from week 0 to week 2). Results suggest that positive outcome expectations have a beneficial effect on outcome in Internet-based self-help for SAD. Furthermore, patient expectations as early process predictors could be used to inform therapeutic decisions such as stepping up patients to guided or face-to-face treatment options

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BACKGROUND: Numerous studies suggest that Internet-based self-help treatments are effective in treating anxiety disorders. Trials evaluating such interventions differ in their screening procedures and in the amount of clinician contact in the diagnostic assessment phase. The present study evaluates the impact of a pre-treatment diagnostic interview on the outcome of an Internet-based treatment for Social Anxiety Disorder (SAD). METHOD: One hundred and nine participants seeking treatment for SAD were randomized to either an interview-group (IG, N = 53) or to a non-interview group (NIG, N = 56). All participants took part in the same 10-week cognitive-behavioural unguided self-help programme. Before receiving access to the programme, participants of the IG underwent a structured diagnostic interview. Participants of the NIG started directly with the programme. RESULTS: Participants in both groups showed significant and substantial improvement on social anxiety measures from pre- to post-assessment (d IG = 1.30-1.63; d NIG = 1.00-1.28) and from pre- to 4-month follow-up assessment (d IG = 1.38-1.87; d NIG = 1.10-1.21). Significant between-groups effects in favour of the IG were found on secondary outcome measures of depression and general distress (d = 0.18-0.42). CONCLUSIONS: These findings suggest that Internet-based self-help is effective in treating SAD, whether or not a diagnostic interview is involved. However, the pre-treatment interview seems to facilitate change on secondary outcomes such as depression and general distress.

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This article is a qualitative, personal report from the field, designed to highlight current developments in family-based theory and practice that bring hopefulness to workers and clients. The author, an experienced human services consultant and family therapist, draws from his recent experience in a number of states to identify exemplars of practice in the following areas: integrative theory building, functional family assessment, systems change in regard to inter-agency coordination and foster care, community building in low income neighborhoods, developing humility as helpers, and addressing issues of hope and spirituality with clients and with co-workers. Given the turbulent and hostile political environment for family-based services, this article challenges us to remember that effectiveness in helping others is directly related to our feelings of hopefulness about ourselves and our world.

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The current study evaluates the effectiveness of an intensive home-based treatment program, Families First, on the behaviors of children and adolescents suffering from mental disorders and being at risk for out-ofi home placement. The sample included 85 youngsters and their families from a semi-rural community. The Diagnostic Interview for Children and Adolescents-Revised (DICA-R) was administered to the children, and the Child Behavior Checklist (CBCL) was completed by a parent at pretreatment and posttreatment. The families participated in a 4-6 week, intensive home intervention where crisis intervention, social support services, and needed psychological services were offered. The results indicated that both externalizing and internalizing behavior problems in youngsters with different diagnoses of mental disorders were significantly reduced at posttreatment as indicated by their CBCL scores. Furthermore, youngsters with a diagnosis of Oppositional Defiant Disorder seemed to benefit the most, as evidenced by the improved scores on most subscales of the CBCL. Youngsters with mood disorders and conduct disorders seemed to benefit in their most deficient areas, internalizing behavior problems and delinquent behaviors, respectively. Finally, after participating in Families First, more than half of the youngsters in the sample were able to stay home with their families

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The purpose of the internet-based teachware mySCM is that students of economics, informatics and industrial engineering get familiar with quantitative methods for supply chain management. Input-output-relationships of various optimization methods can be detected by sampling input values, parameters, and alternative methods for the same problem. Students can gain extra benefits by passing so-called mini-exams that motivate active learning. mySCM can be used for free, round-the-clock, and any place where access to the Internet is available.

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An intensive family preservation program was examined through interviews with 31 families who received the services and four caseworkers who provided the services. The primary finding from interviews with both care givers and caseworkers was that a positive therapeutic relationship between the worker and the client family contributes most to the success of the program. Workers who provided the services stressed the need for making concrete services available as well as clinical intervention and skills training, and they were adamant about screening families for appropriateness before including them in an intensive, inhome program.