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ObjectiveThis mixed-methods study examines the feasibility of art museum tours (Art Rx) as an intervention for individuals with chronic pain.MethodsArt Rx provided 1-hour docent-led tours in an art museum to individuals with chronic pain. Survey data were collected pre-tour, immediately post-tour, and at three weeks post-tour. Pain intensity and unpleasantness were measured with a 0-10 numerical rating scale. Social disconnection was measured with a 12-item social disconnection scale. Participants also reported percent pain relief during the tour and program satisfaction in the post-tour survey. Change in pain and social disconnection was analyzed with paired t tests, bias-corrected and accelerated bootstrap confidence intervals (BCa CIs), and Cohen's d. Thematic analysis of semistructured interviews with participants explored the feasibility and perceived impact of the program.ResultsFifty-four individuals participated in this study (mean age [SD] = 59 [14.5] years, 64.8% female), and 14 were interviewed. Fifty-seven percent of participants reported pain relief during the tour, with an average pain relief (SD) of 47% (34.61%). Participants reported decreased social disconnection and pain unpleasantness pre- to post-tour (3.65, BCa 95% CI = 1.70-5.73, P

Background: Even though there is an increasing number of studies on the efficacy of Internet-based interventions (IBI) for depression, experimental trials on the benefits of added guidance by clinicians are scarce and inconsistent. This study compared the efficacy of semistandardized feedback provided by psychologists with fully standardized feedback in IBI. Methods: Participants with mild-to-moderate depression (n = 1,089, 66% female) from the client pool of a health insurance company participated in a cognitive-behavioral IBI targeting depression over 6 weeks. Individuals were randomized to weekly semistandardized e-mail feedback from psychologists (individual counseling; IC) or to automated, standardized feedback where a psychologist could be contacted on demand (CoD). The contents and tasks were identical across conditions. The primary outcome was depression; secondary outcomes included anxiety, rumination, and well-being. Outcomes were assessed before and after the intervention and 3, 6, and 12 months later. Changes in outcomes were evaluated using latent change score modeling. Results: Both interventions yielded large pre-post effects on depression (Beck Depression Inventory-II: dIC = 1.53, dCoD = 1.37; Patient Health Questionnaire-9: dIC = 1.20, dCoD = 1.04), as well as significant improvements of all other outcome measures. The effects remained significant after 3, 6, and 12 months. The groups differed with regard to attrition (IC: 17.3%, CoD: 25.8%, p = 0.001). Between-group effects were statistically nonsignificant across outcomes and measurement occasions. Conclusion: Adding semistandardized guidance in IBI for depression did not prove to be more effective than fully standardized feedback on primary and secondary outcomes, but it had positive effects on attrition.

Security architectures such as Intel SGX need protection against rollback attacks, where the adversary violates the integrity of a protected application state by re-playing old persistently stored data or by starting multiple application instances. Successful rollback attack shave serious consequences on applications such as financial services. In this paper, we propose a new approach for rollback protection on SGX. The intuition behind our approach is simple. A single platform cannot efficiently prevent rollback, but in many practical scenarios, multiple processors can be enrolled to assist each other. We design and implement a rollback protection system called ROTE that realizes integrity protection as a distributed system. We construct a model that captures adversarial ability to schedule enclave execution and show that our solution achieves a strong security property: the only way to violate integrity is to reset all participating platforms to their initial state. We implement ROTE and demonstrate that distributed rollback protection can provide significantly better performance than previously known solutions based on local non-volatile memory.

Pricing counterparty credit risk, although being in the focus for almost a decade by now, is far from being resolved. It is highly controversial if any valuation adjustment besides the basic CVA should be taken into account, and if so, for what purpose. Even today, the handling of CVA, DVA, FVA, … differs between the regulatory, the accounting, and the economic point of view. Eventually, if an agreement is reached that CVA has to be taken into account, it remains unclear if CVA can be modelled linearly, or if nonlinear models need to be resorted to. Finally, industry practice and implementation differ in several aspects. Hence, a unified theory and treatment of FVA and alike is not yet tangible. The conference Challenges in Derivatives Markets, held at Technische Universität München in March/April 2015, featured a panel discussion with panelists representing different points of view: John Hull, who argues that FVA might not exist at all; in contrast to Christian Fries, who sees the need of all relevant costs to be covered within valuation but not within adjustments. Damiano Brigo emphasises the nonlinearity of (most) valuation adjustments and is concerned about overlapping adjustments and double-counting. Finally, Daniel Sommer puts the exit price in the focus. The following (mildly edited) record of the panel discussion repeats the main arguments of the discussants—ultimately culminating in the awareness that if everybody charges an electricity bill valuation adjustment, it has to become part of any quoted price.

29th European Photovoltaic Solar Energy Conference and Exhibition; 1208-1211, More or less all proposed highly efficient solar cell concepts use quite successfully laterally selective boron doping. However, quality control regarding achieved doping level, lateral extension, etc. on real devices or precursors gets more and more complicated with these small structures as the typical characterisation techniques simply do not work well on small scale. High resolution mapping confocal Raman spectroscopy is considered a possible technique to tackle this challenge. In this contribution it is demonstrated on IBC precursor structures that the contrast in local doping level can be finely resolved via mapping Raman spectroscopy, even though the determined absolute value is found to be too small. It is discussed on the basis of a few fundamental calculations that the depth sensitivity is accountable for this drawback