Implications of intra-limb variability on asymmetry analyses

The aim of this study was to investigate the effect of intra-limb variability on the calculation of asymmetry with the purpose of informing future analyses. Asymmetry has previously been quantified for discrete kinematic and kinetic variables; however, intra-limb variability has not been routinely included in these analyses. Synchronized lower-limb kinematic and kinetic data were collected from eight trained athletes (age 22 ± 5 years, mass 74.0 ± 8.7 kg, stature 1.79 ± 0.07 m) during maximal velocity sprint running. Asymmetry was quantified using a modified version of the symmetry angle for selected kinematic and kinetic variables. Significant differences (P < 0.05) between left and right values for each variable were calculated to indicate intra-limb variability relative to between-limb differences. Significant asymmetry was present in only 39% of kinematic variables and 23% of kinetic variables analysed. Large kinetic asymmetry values (>90%) were calculated for some athletes that were not significant, due to large intra-limb variability. Variables that displayed significant asymmetry were athlete-specific. Findings highlight the potential for misleading results if intra-limb variability is not included in asymmetry analyses. The exclusion of asymmetry scores for variables not displaying significant asymmetry will be useful when calculating overall asymmetry for different participants and could be applied to future running gait analyses.     

Exercise training and impaired glucose tolerance in obese humans

Individuals with impaired glucose tolerance (IGT) are at greater risk of developing diabetes than in normoglycaemia. The aim of this study was to examine the effects of 12-weeks exercise training in obese humans with IGT. Eleven participants (6 males and 5 females; 49±9 years; mean Body Mass Index (BMI) 32.4 kg · m(-2)), completed a 12-week brisk walking intervention (30 min per day, five days a week (d · wk(-1)), at 65% of age-predicted maximal heart rate (HR(max)). Anthropometric measurements, dietary intake, pulse wave velocity (PWV, to determine arterial stiffness) and blood pressure (BP) were examined at baseline and post intervention. Fasting blood glucose, glycosylated haemoglobin, insulin, blood lipids, indices of oxidative stress and inflammation (lipid hydroperoxides; superoxide dismutase; multimeric adiponectin concentration and high-sensitivity C-reactive protein) were also determined. Post intervention, PWV (9.08±1.27 m · s(-1) vs. 8.39±1.21 m · s(-1)), systolic BP (145.4±14.5 vs. 135.8±14.9 mmHg), triglycerides (1.52±0.53 mmol · L(-1) vs. 1.31±0.54 mmol · L(-1)), lipid hydroperoxides (1.20±0.47 μM · L(-1) vs. 0.79±0.32 μM · L(-1)) and anthropometric measures decreased significantly (P < 0.05). Moderate intensity exercise training improves upper limb vascular function in obese humans with IGT, possibly by improving triglyceride metabolism, which may subsequently reduce oxidative stress. These changes were independent of multimeric adiponectin modification and alterations in other blood biomarkers.     

The DEVELOPMENT OF HUMAN CAPACITY IN MALAWI: THE ROLE OF SCIENCE AND TECHNOLOGY

Faced with accelerating poverty, the Malawi government has re-awakened its commitment to the development of human capacity and the role of development in this context. This paper explores the relationship between development and science and technology. It goes on to review the country’s science and technology needs and how these justify taking developmental action. It concludes that strategies designed to increase access to education should not be limited to the primary sector, but should also include secondary curricula and university science and technology programmes. Drawing on the arguments in the article and personal experience, the authors suggest promoting the development of human capacity in Malawi by creating special “science schools” in the secondary sector and increasing the number of scholarships for university science students.     

Genetics with Jean: the design,development and evaluation of an affective tutoring system

This paper details the design, development and evaluation of an affective tutoring system (ATS)—an e-learning system that detects and responds to the emotional states of the learner. Research into the development of ATS is an active and relatively new field, with many studies demonstrating promising results. However, there is often no practical way to apply these findings in real-world settings. The ATS described in this paper utilizes a generic affective application model to infer and appropriately respond to the learner’s affective state. This approach brings several advantages, notably the potential direct support for re-use and retrospective addition of affect sensing functionality into existing e-learning software. Skin conductivity and heart rate variability measurements were used to infer affective activation and valence. The evaluation involved an experiment in which the effectiveness of the fully functional ATS was compared with that of a non-affective version, and was conducted with 40 adult participants. The evaluation of the effectiveness of this tutoring system showed that measurable improvements in perceived learning may be obtained with a modest level of software development.     

SUPPORT NEEDS OF CHILDREN WITH INTELLECTUAL AND DEVELOPMENTAL DISABILITIES: AGE‐RELATED IMPLICATIONS FOR ASSESSMENT

The Supports Intensity Scale–Children's Version (SIS‐C) was developed to assess the support needs of children and youth aged 5 to 16 years with intellectual and developmental disabilities. Data from the standardization sample of the SIS‐C were analyzed to evaluate the impact of the age cohorts (5–6, 7–8, 9–10, 11–12, 13–14, and 15–16 years) used to stratify the sample on the measurement model, as well as the latent means, standard deviations, and correlations. The findings confirmed measurement invariance across age cohorts, but suggested that at the latent level, younger children, generally, have more intensive support needs and that as students with intellectual disability age, their support needs decrease. In addition, the 15‐ to 16‐year‐old cohort displayed differences in terms of the strength of correlations between support need domains, with stronger correlations than the other age groups. Implications for future research and practice are described.     

Initial hydration status, fluid balance, and psychological affect during recreational exercise in adults

There is little information on the impact of hydration status on the psychological response to exercise despite potential implications for adherence to an exercise programme and for overall health and fitness. We investigated initial hydration status, fluid balance, and psychological responses associated with a typical recreational exercise session in healthy adults. Fifty-two participants performed a freely chosen gymnasium-based exercise session at a fitness centre, with ad libitum access to fluids. Urine samples were collected on arrival for analysis of osmolality. Sweat loss was estimated from the change in body mass after correction for fluid intake and urinary losses. Subjective psychological ratings were recorded before and after exercise. Pre-exercise urine osmolality was above 900 mOsmol · kg(-1) (used as a threshold for hypohydration) in 37% of participants. Fluid intake during exercise was 390 ± 298 mL, while estimated sweat loss was 794 ± 391 mL. The percentage change from pre-exercise body mass was -0.62 ± 0.20%. Physically active adults who arrived to take part in exercise hypohydrated reported more negative changes in psychological affect in response to their subsequent freely chosen recreational exercise session than those classified as euhydrated prior to exercise (-0.2 ± 0.7 vs. 0.8 ± 0.7; P < 0.005).     

An analysis of evaluation campaigns in ad-hoc medical information retrieval: CLEF eHealth 2013 and 2014

Since its inception in 2013, one of the key contributions of the CLEF eHealth evaluation campaign has been the organization of an ad-hoc information retrieval (IR) benchmarking task. This IR task evaluates systems intended to support laypeople searching for and understanding health information. Each year the task provides registered participants with standard IR test collections consisting of a document collection and topic set. Participants then return retrieval results obtained by their IR systems for each query, which are assessed using a pooling procedure. In this article we focus on CLEF eHealth 2013 and 2014s retrieval task, which saw topics created based on patients’ information needs associated with their medical discharge summaries. We overview the task and datasets created, and the results obtained by participating teams over these two years. We then provide a detailed comparative analysis of the results, and conduct an evaluation of the datasets in the light of these results. This twofold study of the evaluation campaign teaches us about technical aspects of medical IR, such as the effectiveness of query expansion; the quality and characteristics of CLEF eHealth IR datasets, such as their reliability; and how to run an IR evaluation campaign in the medical domain.     

Analyzing Postcrisis Challenges and Strategies Associated With School Shootings: An Application of Discourse of Renewal Theory

In recent years, the need to understand and identify effective data-driven strategies for the communication challenges faced by schools associated with school shootings has become paramount. The current study reports findings from 10 face-to-face interviews conducted with school crisis team members at the P–12 level who experienced school shooting events. The findings, which extend discourse of renewal theory, identify six primary communication-related challenges that districts face postcrisis and offer effective strategies for overcoming these challenges.