The Relevance of Nigeria＇s Freedom of Information Act （2011） to the Country＇s Anti-corruption War

This essay is centred on Nigeria＇s Freedom of Information Act, with special interest in its relevance in the country＇s anti-corruption war. The paper reiterates that the law was passed to enable the public to access certain government information, in order to ensure transparency and accountability. The FOI Act aims to make public records and information more freely available and to protect public records and information, in accordance with the public interest and protection of personal privacy. It enables citizens to hold the government accountable in the event of the misappropriation of public funds or failure to deliver public services. It also seeks to protect serving public officers against any adverse consequences from the unauthorized disclosure of certain kinds of official information, and to establish procedures for the achievement of these purposes. The Act further regulates conflicts between its provisions and those of other legislations. The paper contends that Freedom of Information is a fundamental indicator of economic development and progress, civic engagement and a properly functional democracy in every economy, describing it as a promising start in ensuring good governance and rule of law in Nigeria. The paper stresses the need for vigorous implementation of the FOI Act if the country is to make any significant breakthrough in the enthronement of good governance, transparency and accountability, adding that a strengthened FOI regime will enhance citizens＇ demand for accountability and check corruption in Nigeria.

Anti-corruption needs a Party law

The tide of anti-corruption swept across China, anti-corruption within the Party is a top priority. It needs sound legal regulation, but now our country doesn＇ t have a specific law to regulate the Party, leading to Party members has not been well constrained about the execution of the power. The author analyzes the necessity of making a Party law from the perspective of curbing corruption, and puts forward some suggestions on strengthening the supervision function of Party law.

A Research on the State-owned Enterprise’s Anti-Corruption Risk Prevention Mechanism and Internal Control Construction

Since the commence of 18th National Congress of the Communist Party of China, the CPC Central Committee represented by General Secretary Xi Jinping, has attached unprecedented importance to anti corruption construction and has strengthened the investigation degree on the disciplinary offence behaviors of the party member the leading cadres, which kills rampant misbehaviors around the people from the source. State-owned enterprises are the pillar of the national economy, which should respond to call of the country, in a bid to strengthen the construction of honest and integrity, prevent risks, and build a perfect internal control mechanism. Focusing on the state-owned enterprise’s anti-corruption risk prevention mechanism and internal control construction, this paper conducts a research aiming at starting a discussion.

Polygenic Profile and Magnitude Impact of Inflammatory Response in Soccer Athletes

The practice of soccer involves carrying-out actions of high intensity, which demand a great generation of eccentric strength, which in turn results in an increase in the inflammatory response after training practice and game matches. The study aimed to investigate, in combination and individually, the association of 28 polymorphisms with the inflammatory responses of soccer athletes. The sample consisted of 47 male under-20 soccer athletes who belong to clubs in the first division of Brazilian soccer. Blood samples were collected at Pre, and 03, 24, and 48 hours after the training session to evaluate the inflammatory responses (hematological analyzes (hemogram), creatine phosphokinase (CK), high sensitivity quantitative C-reactive protein (CRP), tumor necrosis factor-alpha, (TNFα), interleukin 6 (IL-6) and insulin-like growth factor 1 (IGF-1)). DNA was obtained through scraping of buccal cells, where a sterile swab was rubbed on the inner side of the mouth of each participant 06 times. The database was built using the TruSeq DNA PCRFree kit (Illumina®) and the Covaris equipment for shearing genomic DNA (gDNA) by ultrasound. Of the analyzed SNPs, 09 (ACTN3 rs1815739, COL5A1 rs12722, COL5A1 rs3196378, HGF rs5745697, IGF1 rs35767, IL-6 rs1800795, MMP3 rs679620, SLC30A8 rs13266634, SOX15 rs4227) were individually associated with biomarkers and 07 SNPs, (COL5A1 rs12722, COL5A1 rs3196378, COL5A1 rs1800012, HGF rs5745697, IGF1 rs35767, IL-6 rs1800795 and MMP3 rs679620) analyzed in combination, explained 16% to 40% of the variation of inflammatory responses in soccer athletes. The results suggest that the genotypic profile can be taken into account for a more individualized distribution of the training load, along with the elaboration of recovery strategies for high-level athletes between training sessions and games of high physical and physiological demand.

Orientation and Decision-Making for Soccer Based on Sports Analytics and AI:A Systematic Review

Due to ever-growing soccer data collection approaches and progressing artificial intelligence(AI) methods, soccer analysis, evaluation, and decision-making have received increasing interest from not only the professional sports analytics realm but also the academic AI research community. AI brings gamechanging approaches for soccer analytics where soccer has been a typical benchmark for AI research. The combination has been an emerging topic. In this paper, soccer match analytics are taken as a complete observation-orientation-decision-action(OODA) loop.In addition, as in AI frameworks such as that for reinforcement learning, interacting with a virtual environment enables an evolving model. Therefore, both soccer analytics in the real world and virtual domains are discussed. With the intersection of the OODA loop and the real-virtual domains, available soccer data, including event and tracking data, and diverse orientation and decisionmaking models for both real-world and virtual soccer matches are comprehensively reviewed. Finally, some promising directions in this interdisciplinary area are pointed out. It is claimed that paradigms for both professional sports analytics and AI research could be combined. Moreover, it is quite promising to bridge the gap between the real and virtual domains for soccer match analysis and decision-making.

基于Markov对策的多智能体协调方法及其在Robot Soccer中的应用

提出了一种分层的基于Markov对策的多智能体协调方法 ,根据多智能体之间的竞争和合作的关系 ,高层采用零和Markov对策解决与对手之间的竞争 ,低层采用团队Markov对策完成与团队内部的合作 .通过在RobotSoccer中的应用和实验 ,说明了基于Markov对策的多智能体协调方法优于传统的多智能体学习 .

基于BDI的足球agent和TH-soccer平台

机器人足球赛是典型的 MAS问题 .建造了 TH- soccer比赛平台 ,利用 BDI实现了足球 agent模型和比赛算法 ,并在模型上实现了 team work方法 ,可解决个体与 team行为选择矛盾的问题 ,还给出了个体对抗 ,局部战术和全局战术等协商、协作和对抗方法 .改进了 Milind

Design on the Soccer-robot Wireless Communication Subsystem

在足球机器人比赛中，无线通信子系统的主要任务是将主机的命令准确地传送给每一个机器人，其性能的好坏，将会影响足球机器人的运动和比赛的顺利进行，直接关系到比赛的胜负。本文提出了一种基于高速尢线通信模块PTR6000的设计方案，介绍了发射和接收部分的硬件及软件设计，有效地提高了通信系统的性能，为足球机器人系统提供了一个高效可靠的通信平台。

Effect of a specialized injury prevention program on static balance, dynamic balance and kicking accuracy of young soccer players

AIM To study the effect of balance intervention program using the "FIFA 11+" program on static and dynamic balance and kicking accuracy of young soccer players.METHODS Twenty young soccer players were allocated to experimental(n = 10) or control(n = 10) groups. The experimental group performed the "FIFA 11+" program three times a week for six weeks. The control group performed their normal warm-up routine. The primary outcomes were measured pre and post intervention, and assessed kicking accuracy, static balance and dynamic balance.RESULTS No differences were found in kicking accuracy following intervention, for both groups, however, static balance improved significantly among the experimental group with significant interaction with the control group, and with high effect size. In addition, the dynamic balance of the left leg of the experimental group, with medium effect size for interaction between groups.CONCLUSION The large effect size of balance improvement that was observed following six weeks of intervention sessions, implies that soccer trainers and coaches should consider the inclusion of "FIFA 11+" as components of programs aimed at improving balance ability/control in young soccer players, as improvement in balance abilities may prevent injuries.

Six-step reasoning model for robot-soccer

The decision making system of robot soccer is a kind of knowledge system. A Six step Reasoning Model is established by formalizing its expert knowledge and decision making process. Furthermore, many other models can be considered as mutation and evolution of the Six step Reasoning Model.

Algorithm on robot soccer pass and shoot a ball

Introduces of robot soccer’s competition software of Harbin Institute of Technology (HIT), the concept of running range and the method of calculating the running range for both the opponent and our teammates according to the distances between the ball and robot soccers, and therefore the method of calculating the angle that the robot passes or shoots the ball according to the running ranges of both sides. And gives the examples of passing the ball when the ball’s position is in the backcourt and shooting the ball when the ball’s position is in the frontcourt.

Behavior selection strategy for soccer robots

The soccer robot system and the effective multi agents cooperation strategy applied to the MASKARO team composed of a set of action controllers, a set of behavior module and a behavior selector are introduced. The action is the primitive low level component of the robot control system necessary to move the robots on the playground. Each action controller determines the linear and angular velocity commands of the robots corresponding to its own purpose. The behavior is the high level component of the robot control system composed of necessary action sequences. Each behavior module determines the desired action sequences and action commands corresponding to its own objective. The behavior selector considering the information that comes from the vision system selects the behavior of each robot every sampling time. Thus, the behavior of each robot is changed dynamically. The presented strategy is successfully applied to the MASKARO team and the team is ranked in the first place in the 2000 FIRA Korea Cup K League.

Soccer League Competition Algorithm, a New Method for Solving Systems of Nonlinear Equations

This paper introduces Soccer League Competition (SLC) algorithm as a new optimization technique for solving nonlinear systems of equations. Fundamental ideas of the method are inspired from soccer leagues and based on the competitions among teams and players. Like other meta-heuristic methods, the proposed technique starts with an initial population. Population individuals called players are in two types: fixed players and substitutes that all together form some teams. The competition among teams to take the possession of the top ranked positions in the league table and the internal competitions between players in each team for personal improvements results in the convergence of population individuals to the global optimum. Results of applying the proposed algorithm in solving nonlinear systems of equations demonstrate that SLC converges to the answer more accurately and rapidly in comparison with other Meta-heuristic and Newton-type methods.

Development of RoboSot category soccer robots

In the RoboSot category, no central station or over head camera is allowed. Therefore several issues such as sensors, mechanisms and CPU boards must be taken into consideration before building an autonomous and intelligent system for this category. Each robot must have appropriate sensors and must be able to communicate with other robots to have timely information concerning the ball and robot position in the field. Computing power also becomes and improtant factor in implementing intelligence and autonomy onboard. These issues are discussed. Then the robot structure of the Dreams Come True(DCT) from KAIST is introduced. Each robot has a Pentium Π single board computer, and Ethernet card, and USB camera and an omni directional mobile mechanism.

Robot soccer action selection based on Qlearning

This paper researches robot soccer action selection based on Q learning .The robot learn to activate particular behavior given their current situation and reward signal. We adopt neural network to implementations of Q learning for their generalization properties and limited computer memory requirements.

Analysis and design of microsoccer robot

From the analysis of mirosot robot soccer, the design of the robot is discussed in detail covering the basic ideas of design, the general design procedure, main calculations, and the cinematic model of robot, etc.

Design of vision-based soccer robot using DSP

A new design of vision based soccer robot using the type TMS320F240 of DSPs for MiroSot series is presented. The DSP used enables cost effective control of DC motor, and features fewer external components, lower system cost and better performances than traditional microcontroller. The hardware architecture of robot is firstly presented in detail, and then the software design is briefly discussed. The control structure of decision making subsystem is illuminated also in this paper. The conclusion and prospect are given at last.

Anterior cruciate ligament injuries in soccer:Loading mechanisms,risk factors,and prevention programs

Anterior cruciate ligament （ACL） injuries are common in soccer. Understanding ACL loading mechanisms and risk factors for ACL injury is critical for designing effective prevention programs. The purpose of this review is to summarize the relevant literature on ACL loading mechanisms, ACL injury risk factors, and current ACL injury prevention programs for soccer players. Literature has shown that tibial anterior translation due to shear force at the proximal end of tibia is the primary ACL loading mechanism. No evidence has been found showing that knee valgus moment is the primary ACL loading mechanism. ACL loading mechanisms are largely ignored in previous studies on risk factors for ACL injury. Identified risk factors have little connections to ACL loading mechanisms. The results of studies on ACL injury prevention programs for soccer players are inconsistent. Current ACL injury prevention programs for soccer players are clinically ineffective due to low compliance. Future studies are urgently needed to identify risk factors for ACL injury in soccer that are connected to ACL loading mechanisms and have cause-and-effect relationships with injury rate, and to develop new prevention programs to improve compliance.

Recognition of robot-soccer in point of information fusion

Summary of typical information fusion systems, synthesis analysis of Robot Soccer’s architecture, recognition of its characteristic and key technique are given. The result is prompted that Robot Soccer can be treated as a platform of the information fusion.

Layered learning of soccer robot based on artificial neural network

Discusses the application of artificial neural network for MIROSOT, introduces a layered model of BP network of soccer robot for learning basic behavior and cooperative behavior, and concludes from experimental results that the model is effective.