Examination of Silica Sol-Gels and Aerogels Containing Silver Nanoparticles and 4-Mercaptobenzoic Acid Using Surface-Enhanced Raman Spectroscopy

Sol-gels and aero-gels containing silver nanoparticles have been investigated for use as substrates in surface-enhanced Raman spectroscopy (SERS). 4-Mercaptobenzoic acid (4-MBA) was chosen as the target molecule in this study, as it has been well-characterized using SERS. The orientation of the 4-MBA at different coverages in gels, and at differing concentrations of silver colloid, has not been well studied. For both base and acid-catalyzed sol-gels, xerogels, and aerogels, the concentration of 4-MBA was varied with a constant silver colloid concentration in the silica gels and the effects were measured with SERS. The effect of varying silver colloid concentration against a constant 4-MBA concentration was also investigated. The results of each process were compared

An analysis of automatic teller machine usage by older adults : a structured interview approach.

It is often assumed that automatic teller machines (ATMs) are inherently easy to use and require no training. However, there is evidence to suggest that ATM users do experience difficulty when learning to use the system. The purpose of the present study was to conduct an in-depth analysis of ATM usage by older adults. Our approach consisted of telephone interviews followed by structured individual interviews. The goals were to understand the problems encountered by ATM users, to determine how ATMs might be better designed and to assess the training needs of older individuals. The phone interview data provide information about the relationships between age, sex and ATM usage within the adult sample, as well as information about why some people choose not to use ATMs. The structured interview data provide a more in-depth view of the concerns of both users and non-users, and information about training needs. The training and design implications of the results are discussed

Mapping the rules: conceptual and logical relationships in a system for pediatric clinical decision support

The Child Health Improvement through Computer Automation (CHICA) system uses evidence-based guidelines and information collected in the clinic and stored in an electronic medical record (EMR) to inform physician and patient decision making. CHICA helps physicians to identify and select relevant screenings and also provides personalized, just-in-time information for patients. This system relies on a database of Medical Logic Modules (MLMS) written in the Arden Rules syntax. These MLMs store observations (StorObs) during the clinical encounter which trigger potential screenings and preventive health interventions for discussion with the patient or for follow up at the next visit. This poster shows how informationists worked with the CHICA team to describe the MLMs using standard vocabularies, including Medical Subject Headings (MeSH) and Logical Observation Identifiers Names and Codes (LOINC). After assigning keywords to the database of MLMs, the informationists used visualization tools to generate maps. These maps show how rules are related by logic (shared StorObs) and by concept (shared vocabulary). The CHICA team will use these maps to identify gaps in the clinical decision support database and (if needed) to develop rules which bridge related but currently isolated concepts.NIH 1R01LM010923-0

Effective Community Engagement Strategies: The Voices of Injection Drug Users

Academic and community interactions are often conducted with good intentions. However, there is exploitation risk for populations engaging in illegal activities. Collaborations with injection drug users (IDUs) can highlight their expertise and support progressive research. The objective of our research was to use community-based participatory research principles to give voice to IDUs, define community, and recommend authentic engagement strategies. In Phase 1, 10 focus groups (n=33, ages 25–64) helped define community and collaborative partnerships. In Phase 2, community forums with 13 additional IDUs provided feedback on focus group themes. Results: (1) primary themes defining community— geography and social networks; (2) community qualities—respectful, accepting, outcasts, and welcoming; (3) engagement recommendations—incentives, recognizing potential for contributions, treating IDUs respectfully, using research results for positive benefit. Conclusions: Providing voice to marginalized communities allows for self-definition, description of needs, and authentic engagement recommendations. This information is crucial for developing effective programs and creating sustainable collaborations between IDUs and academics

A survey of automatic teller machine usage across the adult lifespan.

The purpose of this study was to analyze automatic teller machine (ATM) usage across the adult life span. We conducted an extensive survey of 9000 people in the Memphis and Atlanta metropolitan areas. Approximately 17% of those people responded. The survey assessed detailed demographic information, experience with technology in general, experience specifically related to ATMs, problems and dislikes with ATMs, and reasons that people do not use ATMs. The survey provided a valuable set of data. First, we have detailed information about the demographics and individual characteristics of ATM users and nonusers; importantly, these data are stratified across the adult life span. In addition, we know the likes and dislikes of ATM users and the types of problems they typically have using ATMs. Moreover, we have a detailed analysis of why adults of all ages may choose not to use ATMs. Training and design implications of these data are discussed

Thinking and acting both globally and locally : The Field School in intercultural education as a model for action-research training and civic learning.

We present the Field School model of intercultural civic education, service-learning, action research training, and collaboration (with local academic and community partners) based on field work in applied anthropology. Theoretical and methodological foundations of the Field School also include experiential learning and immersive pedagogy, multiculturalism and cross-cultural communication, international education and study abroad programs, collaborative international development, participatory research, and in-depth knowledge in one’s own specific discipline. The primary goals of these intensive, short-term action research projects in other, less-developed countries or regions are benefits for community partners that are as sustainable as possible and to foster and assess learning experiences of students. The Peabody-Vanderbilt Field School in Intercultural Education began in Ecuador and Argentina, but we focus on Field Schools in China, rural New Mexico, and South Africa. In Guangxi, P.R.C., U.S. and Chinese students learned to navigate political and cultural complexities to study migration, community needs and assets assessment, and health effects of changing diet on children, and assisted English language learning in schools, a university and a factory. Native American students from Gallup, NM, and students from Nashville, TN, travelled to each other’s locale to study the impact of diabetes in each culture and develop health education and other prevention strategies. In Cape Town, SA, students worked on health and education projects in three townships; we focus here on a collaboration with high school staff to study and reduce the high dropout rate. We analyze Field School impacts on local community partners and student-researchers

Data visualization for truth maintenance in clinical decision support systems

Background and objectives The goal is to inform proactive initiatives to expand the knowledge base of clinical decision support systems. Design and setting We describe an initiative in which research informationists and health services researchers employ visualization tools to map logic models for clinical decision support within an electronic health record. Materials and methods We mapped relationships using software for social network analysis: NodeXL and CMAP. We defined relationships by shared observations, such as two Arden rules within medical logic modules that consider the same clinical observation, or by the presence of common keywords that were used to label rules according to standardized vocabularies. Results We studied the Child Health Improvement through Computer Automation (CHICA) system, an electronic medical record that contains 170 unique variables representing discrete clinical observations. These variables were used in 300 medical logic modules (MLM's) that prompted health care providers to deliver preventive counseling or otherwise served as clinical decision support. Using data visualization tools, we generated maps that illustrate connections, or lack thereof, between clinical topics within CHICA's MLMs. Conclusions The development of such maps may allow multiple disciplines commonly interacting over EMR platforms, and various perspectives (clinicians, programmers, informationists) to work more effectively as teams to refine the EMR by programming logic routines to address co-morbidities or other instances where domains of medical knowledge should be connected

Leukotriene antagonists as first-line or add-on asthma controller therapy

Most randomized trials of treatment for asthma study highly selected patients under idealized conditions. METHODS: We conducted two parallel, multicenter, pragmatic trials to evaluate the real-world effectiveness of a leukotriene-receptor antagonist (LTRA) as compared with either an inhaled glucocorticoid for first-line asthma-controller therapy or a long-acting beta(2)-agonist (LABA) as add-on therapy in patients already receiving inhaled glucocorticoid therapy. Eligible primary care patients 12 to 80 years of age had impaired asthma-related quality of life (Mini Asthma Quality of Life Questionnaire [MiniAQLQ] score =6) or inadequate asthma control (Asthma Control Questionnaire [ACQ] score =1). We randomly assigned patients to 2 years of open-label therapy, under the care of their usual physician, with LTRA (148 patients) or an inhaled glucocorticoid (158 patients) in the first-line controller therapy trial and LTRA (170 patients) or LABA (182 patients) added to an inhaled glucocorticoid in the add-on therapy trial. RESULTS: Mean MiniAQLQ scores increased by 0.8 to 1.0 point over a period of 2 years in both trials. At 2 months, differences in the MiniAQLQ scores between the two treatment groups met our definition of equivalence (95% confidence interval [CI] for an adjusted mean difference, -0.3 to 0.3). At 2 years, mean MiniAQLQ scores approached equivalence, with an adjusted mean difference between treatment groups of -0.11 (95% CI, -0.35 to 0.13) in the first-line controller therapy trial and of -0.11 (95% CI, -0.32 to 0.11) in the add-on therapy trial. Exacerbation rates and ACQ scores did not differ significantly between the two groups. CONCLUSIONS: Study results at 2 months suggest that LTRA was equivalent to an inhaled glucocorticoid as first-line controller therapy and to LABA as add-on therapy for diverse primary care patients. Equivalence was not proved at 2 years. The interpretation of results of pragmatic research may be limited by the crossover between treatment groups and lack of a placebo group

Can people guess what happened to others from their reactions?

Are we able to infer what happened to a person from a brief sample of his/her behaviour? It has been proposed that mentalising skills can be used to retrodict as well as predict behaviour, that is, to determine what mental states of a target have already occurred. The current study aimed to develop a paradigm to explore these processes, which takes into account the intricacies of real-life situations in which reasoning about mental states, as embodied in behaviour, may be utilised. A novel task was devised which involved observing subtle and naturalistic reactions of others in order to determine the event that had previously taken place. Thirty-five participants viewed videos of real individuals reacting to the researcher behaving in one of four possible ways, and were asked to judge which of the four ‘scenarios’ they thought the individual was responding to. Their eye movements were recorded to establish the visual strategies used. Participants were able to deduce successfully from a small sample of behaviour which scenario had previously occurred. Surprisingly, looking at the eye region was associated with poorer identification of the scenarios, and eye movement strategy varied depending on the event experienced by the person in the video. This suggests people flexibly deploy their attention using a retrodictive mindreading process to infer events