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Brain–Computer Interface (BCI) systems establish a direct communication channel from the brain to an output device. These systems use brain signals recorded from the scalp, the surface of the cortex, or from inside the brain to enable users to control a variety of applications. BCI systems that bypass conventional motor output pathways of nerves and muscles can provide novel control options for paralyzed patients. One classical approach to establish EEG-based control is to set up a system that is controlled by a specific EEG feature which is known to be susceptible to conditioning and to let the subjects learn the voluntary control of that feature. In contrast, the Berlin Brain–Computer Interface (BBCI) uses well established motor competencies of its users and a machine learning approach to extract subject-specific patterns from high-dimensional features optimized for detecting the user's intent. Thus the long subject training is replaced by a short calibration measurement (20 min) and machine learning (1 min). We report results from a study in which 10 subjects, who had no or little experience with BCI feedback, controlled computer applications by voluntary imagination of limb movements: these intentions led to modulations of spontaneous brain activity specifically, somatotopically matched sensorimotor 7–30 Hz rhythms were diminished over pericentral cortices. The peak information transfer rate was above 35 bits per minute (bpm) for 3 subjects, above 23 bpm for two, and above 12 bpm for 3 subjects, while one subject could achieve no BCI control. Compared to other BCI systems which need longer subject training to achieve comparable results, we propose that the key to quick efficiency in the BBCI system is its flexibility due to complex but physiologically meaningful features and its adaptivity which respects the enormous inter-subject variability.

We introduce a skin-friendly electronic system that enables human-computer interaction (HCI) for swallowing training in dysphagia rehabilitation. For an ergonomic HCI, we utilize a soft, highly compliant (“skin-like”) electrode, which addresses critical issues of an existing rigid and planar electrode combined with a problematic conductive electrolyte and adhesive pad. The skin-like electrode offers a highly conformal, user-comfortable interaction with the skin for long-term wearable, high-fidelity recording of swallowing electromyograms on the chin. Mechanics modeling and experimental quantification captures the ultra-elastic mechanical characteristics of an open mesh microstructured sensor, conjugated with an elastomeric membrane. Systematic in vivo studies investigate the functionality of the soft electronics for HCI-enabled swallowing training, which includes the application of a biofeedback system to detect swallowing behavior. The collection of results demonstrates clinical feasibility of the ergonomic electronics in HCI-driven rehabilitation for patients with swallowing disorders.

Internet and computer use are increasingly common leisure-time sedentary behaviors, which have the potential to impact negatively on health outcomes. However, little is known about the extent to which adults' Internet and computer use is associated with weight status and time spent in leisure-time physical activity. The objective is to examine associations of leisure-time Internet and computer use with overweight and obesity, leisure-time physical activity, and other sedentary behaviors. Participants (2650 adults living in Adelaide, Australia) completed a mail-back questionnaire including items on their height and weight, past seven day recall of leisure-time physical activity, Internet and computer use, and other leisure-time sedentary behaviors. Leisure-time Internet and computer use was categorized into no use, low use (less than three hours per week), or high use (three hours or more per week). Participants with low leisure-time Internet and computer use had the highest levels of educational attainment and employment, and engaged in less other sedentary behaviors when compared to participants with no or high Internet and computer use. Multinomial logistic regression, adjusted for gender, age, employment, education, other sedentary behaviors and physical activity, determined that participants with a high leisure-time Internet and computer use were 1.46 (95% CI = 1.10 - 1.93) times more likely to be overweight (BMI> or =25 and < 30 kg/m(2)) and 2.52 times more likely (95% CI = 1.82 - 3.52) to be obese (BMI> or =30 kg/m(2)), compared to those who reported no Internet and computer use in their leisure-time. Adults with high leisure-time Internet and computer use were more likely to be overweight or obese even if they were highly active in their leisure time (OR = 1.86; 95% CI = 1.21 - 2.88), as compared to participants who did not use the Internet or computer. Leisure-time physical activity levels were largely independent of Internet and computer use. These findings suggest that, apart from nutritional and physical activity interventions, it may also be necessary to decrease time spent in sedentary behaviors, such as leisure-time Internet and computer use, in order to reduce the prevalence of overweight and obesity. Future Internet interventions to reduce weight or increase physical activity may need to differentiate between participants with different levels of Internet use in order to increase their effectiveness. Longitudinal studies are required to examine further the potential causal relationships between the development of overweight and specific sedentary behaviors such as Internet and computer use.

Collaborative Filtering algorithms provide users with recommendations based on their opinions, that is, on the ratings given by the user for some items. They are the most popular and widely implemented algorithms in Recommender Systems, especially in e-commerce, considering their good results. However, when the information is extremely sparse, independently of the domain nature, they do not present such good results. In particular, it is difficult to offer recommendations which are accurate enough to a user who has just arrived to a system or who has rated few items. This is the well-known new user problem, a type of cold-start. Profile Expansion techniques had been already presented as a method to alleviate this situation. These techniques increase the size of the user profile, by obtaining information about user tastes in distinct ways. Therefore, recommender algorithms have more information at their disposal, and results improve. In this paper, we present the High Order Profile Expansion techniques, which combine in different ways the Profile Expansion methods. The results show 110% improvement in precision over the algorithm without Profile Expansion, and 10% improvement over Profile Expansion techniques.

This case report describes the redesign process for an undergraduate evidence-based practice (EBP) nursing course in which the librarian serves as both co-instructor and co-instructional designer. As part of the undergraduate outcomes-based core curriculum, this required course teaches the principles of the research process; teaches students to identify the strengths and limitations of research articles in relation to EBP; and builds student confidence in their abilities to execute information literacy, data management, and scholarly communication competencies. The course redesign built on an existing student-centered course design, with the specific goal of transitioning the course from a senior-level course to a sophomore-level course, while achieving the same learning objectives. This goal was accomplished by integrating a combination of distributed practice and interleaved practice learning experiences into the course curriculum.

The purpose of this study was to investigate whether an educational training course on using the internet and touchscreen technology (TT) would decrease social isolation and improve self-esteem in residents living in a low-level residential facility. Twelve sessions over six weeks with two facilitators were provided to five participants with a variety of psychiatric disorders. Measures were completed before and after the 12 sessions. There were no statistically significant improvements or worsening in social isolation (mean score 6.2, SD 3.35) or self-esteem (mean score 18.2, SD 3.56) post the training sessions for the residents. Qualitative feedback suggested that the residents enjoyed this experience and learnt new skills. Further study is recommended using larger samples and alternative outcomes measures.

This health communication project measured the psychosocial influences of computer anxiety, computer confidence, and computer self-efficacy in older adults at six meal congregate sites. The adults completed a five-week education intervention, based on Bandura's self-efficacy model, designed to assist older adults in retrieving and evaluating health information resources on the Internet. One hundred thirty-seven participants, ages sixty-five and older, were randomized in a controlled, two-group, pre-post, repeated measures design. Participants in the intervention group received a two-hour training session, once a week for five weeks. The Computer Confidence Subscale and Computer Anxiety Subscale of the Computer Attitude Scale and the Computer Self-Efficacy Measure were administered to both groups at three time intervals: at baseline, completion of the five-week intervention, and six weeks after completion of the intervention. Data were analyzed using repeated measures analysis of variance. Findings showed a reduction in computer anxiety and increases in computer confidence and computer self-efficacy in retrieving and evaluating online health information (P<0.001). The study suggests an array of possibilities to engage older adults in the use of Internet health information resources to better contribute to their health, independence, safety, and wellness.

Patient care problems arise when health care consumers and professionals find health information on the Internet because that information is often inaccurate. To mitigate this problem, nurses can develop Web literacy and share that skill with health care consumers. This study evaluated a Web-literacy intervention for undergraduate nursing students to find reliable Web-based health information. A pre- and postsurvey queried undergraduate nursing students in an informatics course; the intervention comprised lecture, in-class practice, and assignments about health Web site evaluation tools. Data were analyzed using Wilcoxon and ANOVA signed-rank tests. Pre-intervention, 75.9% of participants reported using Web sites to obtain health information. Postintervention, 87.9% displayed confidence in using an evaluation tool. Both the ability to critique health Web sites (p = .005) and confidence in finding reliable Internet-based health information (p = .058) increased. Web-literacy education guides nursing students to find, evaluate, and use reliable Web sites, which improves their ability to deliver safer patient care. [J Nurs Educ. 2017;56(2):110-114.].

Adult women living in rural areas have high rates of obesity. Although rural populations have been deemed hard to reach, Internet-based programming is becoming a viable strategy as rural Internet access increases. However, when people are able to get online, they may not find information designed for them and their needs, especially harder to reach populations. This results in a \"content gap\" for many users. User-centered design is a methodology that can be used to create appropriate online materials. This research was conducted to apply a user-centered approach to the design and development of a health promotion website for low-income mothers living in rural Maryland. Three iterative rounds of concept testing were conducted to (1) identify the name and content needs of the site and assess concerns about registering on a health-related website; (2) determine the tone and look of the website and confirm content and functionality; and (3) determine usability and acceptability. The first two rounds involved focus group and small group discussions, and the third round involved usability testing with individual women as they used the prototype system. The formative research revealed that women with limited incomes were enthusiastic about a website providing nutrition and physical activity information targeted to their incomes and tailored to their personal goals and needs. Other priority content areas identified were budgeting, local resources and information, and content that could be used with their children. Women were able to use the prototype system effectively. This research demonstrated that user-centered design strategies can help close the \"content gap\" for at-risk audiences.

Interest in the use and application of handheld technology at undergraduate and graduate nursing programs across the country is growing rapidly. Personal digital assistants (PDAs) are often referred to as a “peripheral brain” because they can save time, decrease errors, and simplify information retrieval at the point of care. In addition, research results support the notion that PDAs enhance nursing clinical education and are an effective student learning resource. However, most nursing programs lack the full range of technological resources to implement and provide ongoing support for handheld technology use by faculty and students. This article describes a 9-month pilot project for the initial use of PDAs by novice faculty and students at Simmons College.