The Effect of Special Exercises Using Different Resistance (Sand/ Weights) on the Development of (17 – 19) year Old Soccer Players’ Special Strength

The importance of the research lies in special exercises using different resistance on youth soccer players U19 for developing some physical abilities as well as identifying which resistant is better sand or weights on the level of abilities development. The researcher used the experimental method on (20) players who were divided into two equal experimental groups; the first group (10) players trained on sand ground while the other (10) players trained on grass field using sand weights. Special training were designed for each group with special intensity, frequency and volume. The research lasted for (10) weeks with 3 training sessions per week and each session lasted for (40 – 45) minutes. The data was collected and treated using proper statistical operation SPSS to conclude that special exercises using sand and weight developed all types of special strength (explosive strength, strength - speed, strength endurance) in both groups. Finally the researcher recommended the necessity of coaches paying attention to using different resistance (sand/ weights) to improve physical abilities of players.

The Effect of Exercises With Aiding Devices Using Consistent Style on Developing Motor Response Speed in Female Basketball Players U14

The research aimed at designing exercises with aiding devices using consistent style and their effect on motor response speed in female basketball players U14. The researchers used the experimental method on (8) players of the season 2019 – 2020. A pilot study was conducted followed by a second pilot study then the training program was applied with 24 teaching sessions distributed on eight weeks. The data was collected and treated using proper statistical operation to conclude that these exercises have a great effect on developing arms motor response speed in female basketball players U14. Finally, they concluded that these exercises develop the mental, physical, and skill abilities as well as motor response speed in many sports as well as fundamental skills in basketball.

Using the R Language to Manage and Show Statistical Information in the Cloud

We present a methodology to enable users to interact with the statistical information (survey data) of a public opinion institute which is stored in Cloud infrastructure. Mainly using R, this approach was developed following the open-data philosophy. Also, as we used R, the implementation is mainly based on open-source software. R has several advantages from the point of view of data management and acquisition, as it is becoming a common framework that can be used to structure the processes involved in any statistical operation. It further simplifies the access to data and enables the use of all the power of R in Cloud infrastructure. This methodology was applied successfully to develop a tool to manage the data of the Centre d’Estudis d’Opinió, but it can be applied to other institutions to enable open access to their data. The infrastructure was also deployed to Cloud infrastructure to assure its scalability and 24/7 access.

Using the R Language to Manage and Show Statistical Information in the Cloud

We present a methodology to enable users to interact with statistical information owned by an institution and stored in a cloud infrastructure. Mainly based on R, this approach was developed following the open-data philosophy. Also, since we use R, the implementation is mainly based on open-source software. R gives several advantages from the point of view of data management and acquisition, as it becomes a common framework that can be used to structure the processes involved in any statistical operation. This simplifies the access to the data and enable to use all the power of R in the cloud information. This methodology was applied successfully to develop a tool to manage the data of the Centre d’Estudis d’Opinió, but it can be applied to other institutions to enable open access to its data. The infrastructure also was deployed to a cloud infrastructure, to assure the scalability and a 24/7 access.

On Determining Stationary Periods within Time Series

A novel approach is constructed for determining both the occurrence and the duration of stationary periods within time series. After reviewing four statistical techniques that provide stationarity measures invariant to applying a constant offset to the variable of interest, the reverse arrangement test is selected as the basic statistical operation to construct the approach. The probability distributions of the starting and ending points of stationary intervals are used to determine the nonstationary location at which a period should be split into two subperiods and nonstationary samples that should be discarded from analysis of time-averaged statistics. The approach provides efficient analysis of long-term datasets and is capable of relating data sampled at multiple locations. Applying the approach to data obtained within a walnut orchard canopy during the defoliated phase of the Canopy Horizontal Array Turbulence Study (CHATS) yields periods with stationary within-canopy velocities required by analysis of the bulk drag–wind relationship. The uncertainties in empirical estimates of the bulk drag–wind relationship associated with nonstationarity and finite duration of time series are evaluated. An integral view of various stationarity measures is presented, with a highlight of their links to physical processes.

A Parallel Genetic Algorithm Based on OpenCL in Resolving 0/1 Knapsack Problems

This paper mainly focused on 0/1 knapsack problems based on the genetic algorithm (GA). According to characteristics of the individual independence in GA, a parallel segmentation method was presented using the OpenCL technology in resolving the 0/1 knapsack problems. Moreover, the local memory was partially optimized in the statistical operation of GA. Experiment results in comparing serial and parallel algorithm implementations showed that the parallel algorithm implementation was operative and the execution time of the parallel algorithm implementation increased linearly according to the increment of problem scale. By comparing the execution time of implementations on CPU and GPU under various individuals and iterations conditions, the effects on CPU and GPU of this method were also analyzed.

Report: The World Tourism Organization's Efforts in the Development of a Tourism Satellite Account

A tourism satellite account (TSA) is a synthetic statistical operation closely linked to the central core of a country's national accounts, placing an emphasis on tourism activity. It isolates the various items making up economic tourism activity from the universe of national accounts in order to: specify the impact and describe the direct and indirect effects of tourism on the economy; quantify the overall impact of tourism; analyse the relationships between tourism and the rest of the economy; and make it possible to use major qualitative parameters in analysing tourism activity – place of residence, sex, income, duration of stay, etc. This report outlines the efforts of the World Tourism Organization (WTO) to develop a flexible and sustainable framework for the national and international implementation of TSAs.