Feasibility, acceptability, and preliminary efficacy of an internet-based CBT intervention for loneliness in older adults: A pilot RCT

Background Older adults are an important target group for loneliness interventions. However, most existing interventions aimed at older individuals do not focus on the strategy that has proven most effective (i.e., modifying maladaptive social cognition). Additionally, given the low mental health service use in this population, innovative treatment approaches are needed in order to provide support to this age cohort. The aim of the current study was to investigate the feasibility, acceptability, and preliminary efficacy of a newly developed internet-based cognitive behavioral therapy intervention for loneliness in older individuals using a pilot randomized controlled trial (RCT). Methods In the current study N = 36 older adults aged between 65 and 87 years were randomly assigned to either a 7-week internet-based intervention or a wait-list condition. Treatment satisfaction, usability, attrition, and adherence were assessed as indicators for feasibility and acceptability. To investigate preliminary treatment effects, measures on loneliness, depression, anxiety, self-efficacy, and life-satisfaction were administered. Results Overall, the intervention program was found to be acceptable and feasible. No significant difference between conditions on loneliness were observed; however, results indicated a trend towards lower reported loneliness levels in the treatment compared to the control group. Regarding secondary outcomes, results pointed at age-specific treatment effects, such that improvements on depression, anxiety, and life satisfaction were observed in the young-old, but not old-old adults in our sample. Limitations The sample was small and no follow-up assessment was included. Conclusions An internet-based CBT intervention for loneliness seems to be feasible and acceptable in older individuals

The noise of many needles: Jerky domain wall propagation in PbZrO3 and LaAlO3

Measurements of the sample length of PbZrO3 and LaAlO3 under slowly increasing force (3-30 mN/min) yield a superposition of a continuous decrease interrupted by discontinuous drops. This strain intermittency is induced by the jerky movement of ferroelastic domain walls through avalanches near the depinning threshold. At temperatures close to the domain freezing regime, the distributions of the calculated squared drop velocity maxima N(υm2) follow a power law behaviour with exponents ε=1.6±0.2. This is in good agreement with the energy exponent ε=1.8±0.2 recently found for the movement of a single needle tip in LaAlO3 [R. J. Harrison and E. K. H. Salje, Appl. Phys. Lett. 97, 021907 (2010)]. With increasing temperature, N(υm2) changes from a power law at low temperatures to an exponential law at elevated temperatures, indicating that thermal fluctuations increasingly enable domain wall segments to unpin even when the driving force is smaller than the corresponding barrier

Airtime for newcomers. Radio for Migrants in the United Kingdom and West Germany, 1960s–1980s

This article explores the British and West German public service radio’s abilities to reflect on and to address the specific needs and expectations of migrant groups in their programmes between the 1960s and 1980s. Mechanisms of social inclusion and exclusion alike can be investigated here. Empirically, it is based on comparisons of radio broadcasts on and for different immigrant communities, produced by BBC Radio Leicester on/for the post-war Asian migrants in England and by West German public service broadcasting on/for ‘Gastarbeiter’ (foreign workers) as well as for ‘Spätaussiedler’ (German repatriates from East Europe). Radio is studied as an agent of identity management and citizenship education. Not only did radio talk about migrants and migration to introduce these topics and the newcomers to the local population. It also offered airtime to selected migrant communities to cater for their needs and interests as well as to facilitate their difficulties of adjusting to an unfamiliar environment

Fourier Monte Carlo Implementation Guide

AbstractThe Fourier Monte Carlo algorithm represents a powerful tool to study criticality in lattice spins systems. In par- ticular, the algorithm constitutes an interesting alternative to other simulation approaches for models with microscopic or effective long-ranged interactions. However, due to the somewhat involved implementation of the basic algorithmic machinery, many researchers still refrain from using Fourier Monte Carlo. It is the aim of the present article to lower this barrier. Thus, the basic Fourier Monte Carlo algorithm is presented in great detail with emphasis on providing ready-to-use formulas for the reader's own implementation

Eye Movement Analysis for Activity Recognition Using Electrooculography

In this work, we investigate eye movement analysis as a new sensing modality for activity recognition. Eye movement data were recorded using an electrooculography (EOG) system. We first describe and evaluate algorithms for detecting three eye movement characteristics from EOG signals—saccades, fixations, and blinks—and propose a method for assessing repetitive patterns of eye movements. We then devise 90 different features based on these characteristics and select a subset of them using minimum redundancy maximum relevance (mRMR) feature selection. We validate the method using an eight participant study in an office environment using an example set of five activity classes: copying a text, reading a printed paper, taking handwritten notes, watching a video, and browsing the Web. We also include periods with no specific activity (the NULL class). Using a support vector machine (SVM) classifier and person-independent (leave-one-person-out) training, we obtain an average precision of 76.1 percent and recall of 70.5 percent over all classes and participants. The work demonstrates the promise of eye-based activity recognition (EAR) and opens up discussion on the wider applicability of EAR to other activities that are difficult, or even impossible, to detect using common sensing modalities