The Effect of 16 Weeks of Lower-Limb Strength Training in Jumping Performance of Ballet Dancers

Jumping ability is considered a determinant of performance success. It is identified as one of the predictors and talent identification in many sports and dance. This study aimed to investigate the effect of 16 weeks of lower-limb strength training on the jumping performance of ballet dancers. A total of 24 participants from the same dance school were randomly selected in the control group [CG; n = 10; aged 13.00 (1.49) years; 43.09 (9.48) kg and 1.53 (0.11) m] and the intervention group [IG; n = 14; aged 12.43 (1.45) years; 38.21 (4.38) kg and 1.51 (0.07) m], evaluated before and after the applied strength training program mainly using the body weight of each participant. Jump performance was assessed using MyJump2, a scientifically validated mobile phone app. Intergroup and intragroup comparisons were assessed, and the magnitude of change was calculated using the effect size (ES). While CG significantly decreased the relative power over time (p < 0.001, ES = −0.29: small), results from the intragroup comparisons suggest that IG significantly increased the countermovement jump (CMJ) height (p < 0.001, ES = 1.21: large), the relative force (p < 0.001, ES = 0.86: moderate), maximal velocity (p < 0.001, ES = 1.15: moderate), and relative power (p < 0.001, ES = 1.37: large). We concluded that a 16-week strength training program of lower limbs is an effective way to improve CMJ height in young dancers. Supplementary strength training appears to be the determinant for the improvement of the jumping performance of ballet dancers.

Whose Policy Matters? Elite Disagreement on Illegal Fishing Problems

Neo-realism predicted the state will choose a certain balancing strategy accordingly to the given strategic environment and the relative power of respective states. Since Southeast Asia recognized as informal and norm-based regionalism, state balancing strategy will maximize the regional organization as a means to restraining member state's behavior and managing basic interaction within states. However, neo-realism unable to explain why states would not adopting the expected balancing strategy despite already obtained necessary international pressure and relative power. This condition occurred in Indonesia’s foreign policy toward ASEAN, especially on combating illegal fishing disputes. Ever since the foundation of the regional group, Indonesia has applied the ASEAN-led mechanism as a means to the dispute. However, the regional distribution of power and Jakarta’s relative power do not change but Indonesia’s balancing strategy does. To explain such conditions, this research will employ neo-classical realism to examine why Indonesia not adopting an institutional balancing strategy. Neoclassical-realist argued that it is the intervening variable that determined the state’s balancing strategy. This research will analyze Indonesia’s intervening variable using Randall Scwheller’s elite consensus framework and found out the shift of Indonesia's balancing strategy occurred due to elite dissensus on how perceiving ASEAN as a regional group

Transient stability analysis of IEEE 9-bus system integrated with DFIG and SCIG based wind turbines

Electricity is in high demand with a fast-growing population; hence it is advisable to turn towards green energy. In this research, Wind Turbine (WT) is modelled with two different types of induction generators (IGs), which are the Doubly-Fed Induction Generator (DFIG) and Squirrel-Cage Induction Generator (SCIG) and implemented to IEEE 9-Bus system to assess the transient stability. MATLAB/ Simulink R2019a platform was considered to carry the whole examination. DC1A excitation system was applied to Synchronous Generators (SGs) as well as Power System Stabilizer (PSS). The transmission line7-5 was found to suffer from a high peak value of a relative power angle of approximately 130 degrees. As for the settling time, without PSS it was 20.69 s and with PSS it became 6.23 s. A wind farm with a rated capacity of 60 MW was used in the system. WT integrated with DFIG has the lowest peak value of 127 degrees at Bus locations 4 and 5 and for SCIG, Bus 5 with a peak value of 136 degrees. Thus, it can be propelled as the perfect location. Moreover, this is due to the three-phase fault was located at the transmission line7-5 which is far away from Buses 4 and 5. In the end, the WT integrated with DFIG provides a lower peak value of relative power angle compared to SCIG, whereas for settling time, it is the opposite.

Foundation and Administration

This chapter provides a concise account of the Napolas’ foundation, and the bureaucratic tasks involved in their administration by the NPEA-Inspectorate (Landesverwaltung der Nationalpolitischen Erziehungsanstalten in Preußen/Inspektion der Nationalpolitischen Erziehungsanstalten). It also investigates the schools’ relationship with other organizations within the Nazi state, including the SA, the SS, the Nazi Party, and the Hitler Youth. Among these institutions, the competition to gain power over the schools was constant, with Heinrich Himmler, the Reichsführer-SS, gradually gaining the upper hand. As such, the Napola administration provides a particularly apt case study of the constant polycratic wrangling which lay at the heart of the Nazi state, as well as mirroring the relative power and respective positions of the SA and SS within the dictatorship’s organizational hierarchy. The chapter concludes by exploring the Inspectorate’s methods of recruiting and controlling Napola headmasters (Anstaltsleiter) and teachers (Erzieher). Ultimately, Reich Education Minister Bernhard Rust, along with NPEA-Inspectors Joachim Haupt and August Heißmeyer, desired to create a cadre of ideologically sound and fanatically loyal staff who conformed completely to the National Socialist ideal of the ‘Führer personality’.

An Internet of Medical Things-Based Model for Real-Time Monitoring and Averting Stroke Sensors

In recent years, neurological diseases have become a standout amongst all the other diseases and are the most important reasons for mortality and morbidity all over the world. The current study’s aim is to conduct a pilot study for testing the prototype of the designed glove-wearable technology that could detect and analyze the heart rate and EEG for better management and avoiding stroke consequences. The qualitative, clinical experimental method of assessment was explored by incorporating use of an IoT-based real-time assessing medical glove that was designed using heart rate-based and EEG-based sensors. We conducted structured interviews with 90 patients, and the results of the interviews were analyzed by using the Barthel index and were grouped accordingly. Overall, the proportion of patients who followed proper daily heart rate recording behavior went from 46.9% in the first month of the trial to 78.2% after 3–10 months of the interventions. Meanwhile, the percentage of individuals having an irregular heart rate fell from 19.5% in the first month of the trial to 9.1% after 3–10 months of intervention research. In T5, we found that delta relative power decreased by 12.1% and 5.8% compared with baseline at 3 and at 6 months and an average increase was 24.3 ± 0.08. Beta-1 remained relatively steady, while theta relative power grew by 7% and alpha relative power increased by 31%. The T1 hemisphere had greater mean values of delta and theta relative power than the T5 hemisphere. For alpha ( p < 0.05) and beta relative power, the opposite pattern was seen. The distinction was statistically significant for delta ( p < 0.001), alpha ( p < 0.01), and beta-1 ( p < 0.05) among T1 and T5 patient groups. In conclusion, our single center-based study found that such IoT-based real-time medical monitoring devices significantly reduce the complexity of real-time monitoring and data acquisition processes for a healthcare provider and thus provide better healthcare management. The emergence of significant risks and controlling mechanisms can be improved by boosting the awareness. Furthermore, it identifies the high-risk factors besides facilitating the prevention of strokes. The EEG-based brain-computer interface has a promising future in upcoming years to avert DALY.

A Liberal Peace?: The Growth of Liberal Norms and the Decline of Interstate Violence

How have understandings of fundamental norms of international society changed over time? How does this relate to the decline of interstate violence since 1945? Previous explanations have focused on regime type, domestic institutions, economic interdependence, relative power, and nuclear weapons, I argue that a crucial and underexplored part of the puzzle is the change in understanding of sovereignty over the same period. In this article, I propose a novel means of examining change in these norms between 1970 and 2014 by analyzing the content of UN Security Council resolutions. This analysis is then utilized in quantitative analysis of the level of violence dispute participants resorted to in all Militarized Interstate Disputes in the period. I find that as liberal understandings of fundamental norms have increased, that the average level of violence used has decreased. This points to a crucial missing component in the existing literature: that institutions can only constrain when political actors share the right norms.

Investigating Feature Ranking Methods for Sub-Band and Relative Power Features in Motor Imagery Task Classification

Interpreting the brain commands is now easier using brain-computer interface (BCI) technologies. Motor imagery (MI) signal detection is one of the BCI applications, where the movements of the hand and feet can be recognized via brain commands that can be further used to handle emergency situations. Design of BCI techniques encountered challenges of BCI illiteracy, poor signal to noise ratio, intersubject variability, complexity, and performance. The automated models designed for emergency should have lesser complexity and higher performance. To deal with the challenges related to the complexity performance tradeoff, the frequency features of brain signal are utilized in this study. Feature matrix is created from the power of brain frequencies, and newly proposed relative power features are used. Analysis of the relative power of alpha sub-band to beta, gamma, and theta sub-band has been done. These proposed relative features are evaluated with the help of different classifiers. For motor imagery classification, the proposed approach resulted in a maximum accuracy of 93.51% compared to other existing approaches. To check the significance of newly added features, feature ranking approaches, namely, mutual information, chi-square, and correlation, are used. The ranking of features shows that the relative power features are significant for MI task classification. The chi-square provides the best tradeoff between accuracy and feature space. We found that the addition of relative power features improves the overall performance. The proposed models could also provide quick response having reduced complexity.

Worst-case Bounds on Power vs. Proportion in Weighted Voting Games with an Application to False-name Manipulation

Weighted voting games apply to a wide variety of multi-agent settings. They enable the formalization of power indices which quantify the coalitional power of players. We take a novel approach to the study of the power of big vs. small players in these games. We model small (big) players as having single (multiple) votes. The aggregate relative power of big players is measured w.r.t. their votes proportion. For this ratio, we show small constant worst-case bounds for the Shapley-Shubik and the Deegan-Packel indices. In sharp contrast, this ratio is unbounded for the Banzhaf index. As an application, we define a false-name strategic normal form game where each big player may split its votes between false identities, and study its various properties. Together, our results provide foundations for the implications of players’ size, modeled as their ability to split, on their relative power.