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Background: The positive effect of carbohydrates from commercial beverages on soccer-specific exercise has been clearly demonstrated. However, no study is available that uses a home-mixed beverage in a test where technical skills were required. Methods: Nine subjects participated vol-untarily in this double-blind, randomized, placebo-controlled crossover study. On three testing days, the subjects performed six Hoff tests with a 3-min active break as a preload and then the Yo-Yo Intermittent Running Test Level 1 (Yo-Yo IR1) until exhaustion. On test days 2 and 3, the subjects received either a 69 g carbohydrate-containing drink (syrup–water mixture) or a carbo-hydrate-free drink (aromatic water). Beverages were given in several doses of 250 mL each: 30 min before and immediately before the exercise and after 18 and 39 min of exercise. The primary target parameters were the running performance in the Hoff test and Yo-Yo IR1, body mass and heart rate. Statistical differences between the variables of both conditions were analyzed using paired samples t-tests. Results: The maximum heart rate in Yo-Yo IR1 showed significant differ-ences (syrup: 191.1 ± 6.2 bpm; placebo: 188.0 ± 6.89 bpm; t(6) = −2.556; p = 0.043; dz = 0.97). The running performance in Yo-Yo IR1 under the condition syrup significantly increased by 93.33 ± 84.85 m (0–240 m) on average (p = 0.011). Conclusions: The intake of a syrup–water mixture with a total of 69 g carbohydrates leads to an increase in high-intensive running performance after soccer specific loads. Therefore, the intake of carbohydrate solutions is recommended for intermit-tent loads and should be increasingly considered by coaches and players.
Adjustment Effects of Maximum Intensity Tolerance During Whole-Body Electromyostimulation Training
(2019)
Intensity regulation during whole-body electromyostimulation (WB-EMS) training is mostly controlled by subjective scales such as CR-10 Borg scale. To determine objective training intensities derived from a maximum as it is used in conventional strength training using the one-repetition-maximum (1-RM), a comparable maximum in WB-EMS is necessary. Therefore, the aim of this study was to examine, if there is an individual maximum intensity tolerance plateau after multiple consecutive EMS application sessions. A total of 52 subjects (24.1 ± 3.2 years; 76.8 ± 11.1 kg; 1.77 ± 0.09 m) participated in the longitudinal, observational study (38 males, 14 females). Each participant carried out four consecutive maximal EMS applications (T1–T4) separated by 1 week. All muscle groups were stimulated successively until their individual maximum and combined to a whole-body stimulation index to carry out a possible statement for the development of the maximum intensity tolerance of the whole body. There was a significant main effect between the measurement times for all participants (p < 0.001; ????2 = 0.39) as well as gender specific for males (p = 0.001; ????2 = 0.18) and females (p < 0.001; ????2 = 0.57). There were no interaction effects of gender × measurement time (p = 0.394). The maximum intensity tolerance increased significantly from T1 to T2 (p = 0.001) and T2 to T3 (p < 0.001). There was no significant difference between T3 and T4 (p = 1.0). These results indicate that there is an adjustment of the individual maximum intensity tolerance to a WB-EMS training after three consecutive tests. Therefore, there is a need of several habituation units comparable to the identification of the individual 1-RM in conventional strength training. Further research should focus on an objective intensity-specific regulation of the WB-EMS based on the individual maximum intensity tolerance to characterize different training areas and therefore generate specific adaptations to a WB-EMS training compared to conventional strength training methods.
Algorithms increasingly govern people's lives, including through rapidly spreading applications in the public sector. This paper sheds light on acceptance of algorithms used by the public sector emphasizing that algorithms, as parts of socio-technical systems, are always embedded in a specific social context. We show that citizens' acceptance of an algorithm is strongly shaped by how they evaluate aspects of this context, namely the personal importance of the specific problems an algorithm is supposed to help address and their trust in the organizations deploying the algorithm. The objective performance of presented algorithms affects acceptance much less in comparison. These findings are based on an original dataset from a survey covering two real-world applications, predictive policing and skin cancer prediction, with a sample of 2661 respondents from a representative German online panel. The results have important implications for the conditions under which citizens will accept algorithms in the public sector.
This pilot study aimed to investigate the use of sensorimotor insoles in pain reduction, different orthopedic indications, and the wearing duration effects on the development of pain. Three hundred and forty patients were asked about their pain perception using a visual analog scale (VAS) in a pre–post analysis. Three main intervention durations were defined: VAS_post: up to 3 months, 3 to 6 months, and more than 6 months. The results show significant differences for the within-subject factor “time of measurement”, as well as for the between-subject factor indication (p < 0.001) and worn duration (p < 0.001). No interaction was found between indication and time of measurements (model A) or between worn duration and time of measurements (model B). The results of this pilot study must be cautiously and critically interpreted, but may support the hypothesis that sensorimotor insoles could be a helpful tool for subjective pain reduction. The missing control group and the lack of confounding variables such as methodological weaknesses, natural healing processes, and complementary therapies must be taken into account. Based on these experiences and findings, a RCT and systematic review will follow.
To investigate whether participants can activate only one spatially oriented number line at a time or
multiple number lines simultaneously, they were asked to solve a unit magnitude comparison task
(unit smaller/larger than 5) and a parity judgment task (even/odd) on two-digit numbers. In both these
primary tasks, decades were irrelevant. After some of the primary task trials (randomly), participants
were asked to additionally solve a secondary task based on the previously presented number. In
Experiment 1, they had to decide whether the two-digit number presented for the primary task was
larger or smaller than 50. Thus, for the secondary task decades were relevant. In contrast, in Experiment
2, the secondary task was a color judgment task, which means decades were irrelevant. In Experiment
1, decades’ and units’ magnitudes influenced the spatial association of numbers separately. In contrast,
in Experiment 2, only the units were spatially associated with magnitude. It was concluded that
multiple number lines (one for units and one for decades) can be activated if attention is focused on
multiple, separate magnitude attributes.
The use of digital media in adult education is very heterogene-ous. To date, there are no empirical studies that have examined the possibility that media-related differences in media usage of adult educators could be in part due to differential media pedagogical attitudes of adult educators. Moreover, there is a lack of empirical evidence to support the understanding of what factors modulate differences in media pedagogical com-petencies of adult educators. In order to examine different the-oretical potentialities, in the present study, an online survey of adult educators (n = 626) was conducted to investigate the attitudes of adult educators in Germany toward their use of digital media. The results of the study indicate that there are influencing factors such as educational level or employment context on attitudes toward digital media.
The promise of algorithmic decision-making (ADM) lies in its capacity to support or replace human decision-making based on a superior ability to solve specific cognitive tasks. Applications have found their way into various domains of decision-making—and even find appeal in the realm of politics. Against the backdrop of widespread dissatisfaction with politicians in established democracies, there are even calls for replacing politicians with machines. Our discipline has hitherto remained surprisingly silent on these issues. The present article argues that it is important to have a clear grasp of when and how ADM is compatible with political decision-making. While algorithms may help decision-makers in the evidence-based selection of policy instruments to achieve pre-defined goals, bringing ADM to the heart of politics, where the guiding goals are set, is dangerous. Democratic politics, we argue, involves a kind of learning that is incompatible with the learning and optimization performed by algorithmic systems.
US arms control policies have shifted frequently in the last 60 years, ranging from
the role of a ‘brakeman’ regarding international arms control, to the role of a
‘booster,’ initiating new agreements. My article analyzes the conditions that contribute
to this mixed pattern. A crisp-set Qualitative Comparative Analysis (QCA) evaluates
24 cases of US decisions on international arms control treaties (1963–2021).
The analysis reveals that the strength of conservative treaty skeptics in the Senate, in
conjunction with other factors, has contributed to the demise of arms control policies
since the end of the Cold War. A brief study of the Trump administration’s arms
control policies provides case-sensitive insights to corroborate the conditions identified
by the QCA. The findings suggest that conservative treaty skeptics contested the
bipartisan consensus and thus impaired the ability of the USA to perform its leadership
role within the international arms control regime.
Strength training in youth soccer has both a preventive and a
sports-specific component. Whole-body electromyostimulation
(WB-EMS) could represent an interesting time-saving add-on to
classical strength exercises in performance-oriented soccer. The
objective of this study was to find out whether a 10-week superimposed
WB-EMS training might have a more positive impact on
strength parameters in male youth elite soccer players than regular
athletic strength exercises alone. A total of 30 male youth soccer
players from a youth academy aged 15 to 17 years participated
in the study. Before and after the intervention, the isometric extension
and flexion forces of trunk and knee, and the hip abduction
and adduction forces were tested. Twelve players (control
group) absolved a conventional 20-minute strength training once
a week for a period of ten weeks. Eighteen players absolved the
same exercises but with superimposed WB-EMS. Blood creatine
kinase concentration was measured for training control. ANOVAs,
Friedman tests and post hoc t-tests were calculated (p =
0.05) to examine the strength development during the training period
between the groups. While we could not find significant
strength increases in the leg, hip and trunk muscles in the control
group (<4%), the strength of the WB-EMS group improved significantly
in 4 of the 6 muscle groups tested. In this group, the
strength of knee flexors increased significantly by 20.68 ±
21.55%, knee extensors by 31.43 ± 37.02%, hip adductors by
21.70 ± 12.86% and trunk flexors by 33.72 ± 27.43%. The rates
of strength increase are partly in line with other studies, partly
clearly higher, which might be explained by the athletically active
target group. A 10-week superimposed WB-EMS training improves
the strength of certain leg, hip and trunk muscles in male
adolescent elite soccer players to a greater extent than a pure athletic
strength training of the same duration.
Algorithmic systems that provide services to people by supporting or replacing human decision-making promise greater convenience in various areas. The opacity of these applications, however, means that it is not clear how much they truly serve their users. A promising way to address the issue of possible undesired biases consists in giving users control by letting them configure a system and aligning its performance with users’ own preferences. However, as the present paper argues, this form of control over an algorithmic system demands an algorithmic literacy that also entails a certain way of making oneself knowable: users must interrogate their own dispositions and see how these can be formalized such that they can be translated into the algorithmic system. This may, however, extend already existing practices through which people are monitored and probed and means that exerting such control requires users to direct a computational mode of thinking at themselves.