Dynamic resource allocation and adaptability in teamwork

Final Report, Grant No. FA9550-05-100065</p

Hello World! Building computational models to represent social and organizational theory

Computational modeling holds significant promise as a tool for improving how theory is developed, expressed, and used to inform empirical research and evaluation efforts. However, the knowledge and skillsets needed to build computational models are rarely developed in the training received by social and organizational scientists. The purpose of this manuscript is to provide an accessible introduction to and reference for building computational models to represent theory. We first discuss important principles and recommendations for “thinking about” theory and developing explanatory accounts in ways that facilitate translating their core assumptions, specifications, and ideas into a computational model. Next, we address some frequently asked questions related to building computational models that introduce several fundamental tasks/concepts involved in building models to represent theory and demonstrate how they can be implemented in the R programming language to produce executable model code. The accompanying supplemental materials describes additional considerations relevant to building and using computational models, provides multiple examples of complete computational model code written in R, and an interactive application offering guided practice on key model-building tasks/concepts in R

Comparing Statistical Methods for Predicting Human Behavior: An Example with Team Performance

This research developed and compared statistical methods for predicting human behavior. We investigated the efficacy of four statistical methods for predicting team performance of professional basketball teams. Each statistical method was evaluated on six accuracy metrics. The moving average and Monte Carlo methods performed the best across all six accuracy metrics. The results suggest that an effective method for predicting team performance involves computing updated predictor values as new dynamic information is gathered on teams.https://via.library.depaul.edu/psychologynight/1088/thumbnail.jp

Hello World! Building computational models to represent social and organizational theory

Manuscript and related resources for learning to build computational models in R to represent social and organizational theor

CADENZA - D3.2: Final Airspace Users and Air Navigation Service Provider models

Airspace Users (AUs) and Air Navigation Service Providers (ANSPs) are two of the most important key operational stakeholders in the Air Traffic Management (ATM) value-chain: AUs generate air traffic demand, while ANSPs (and airports) provide capacity (supply). Since the goal of the CADENZA project is to improve overall network performance by exploring different advanced demand-capacity balancing options, it is necessary to understand business models, decision-making processes and practices of AUs and ANSPs. The majority of air traffic demand is constituted by commercially oriented AUs (airlines), and while we could argue that the vast majority of airlines seek to maximise profits, we can clearly observe the differences between different business models and strategies to achieve that goal. Traditional network carriers usually operate in a hub and spoke network, sometimes with a significant share of transfer passengers on board. On the other hand, low-cost carriers in most cases operate in a so-called point-to-point network (usually without transfer passengers). There are other AU business models as well, with their own intrinsic characteristics. What is of particular interest for the CADENZA project is to understand how AUs plan their operations, with an emphasis on trajectories (flight planning), and how they react and respond to disturbances in schedules and operations. ANSPs are, unlike AUs, in most cases non-for profit and government agencies. They provide, what is usually considered, an (essential) public service (subject to various regulations), with a requirement to deliver enough capacity to accommodate airspace users’ needs, while maintaining safe, sustainable and cost-efficient provision of services. This is why capacity planning principles and practices are very important, especially knowing that traffic is inherently variable both in terms of total volume and spatio-temporal distribution in the network. The CADENZA team seeks to understand the capacity planning process in detail, as well as deployment of available capacity, since these practices differ from ANSP to ANSP. In this deliverable, we present the most relevant aspects of AU/ANSP business and operations (in nominal and non-nominal conditions) which we account for in the overall network optimisation (mathematical) model. Our goal is to have a better representation of key operational stakeholders (decisions) in our experiments, aiming to obtain more realistic results.This deliverable is part of a project that has received funding from the SESAR Joint Undertaking under grant agreement No 893380 under European Union’s Horizon 2020 research and innovation programme.Peer ReviewedPostprint (published version

THE INFLUENCE OF SOME ANTHROPOMETRIC CHARACTERISTICS AND MOTOR ABILITIES ON AGILITY IN YOUNG FEMALE VOLLEYBALL PLAYERS

The success in volleyball certainly depends on the morphological characteristics of the formed volleyball players, of which the basic body height and weight, which can be valorized in view of the current age of volleyball players (Marelić et al, 2008). As in all sports activities, as well as volleyball, no technical element can not be performed without adequate motor abilities and fully manifested without rational techniques of performing motion. The aim of this research is to determine whether there is a stati¬sti¬ca¬lly significant correlation between certain anthropometric characteristics and motor abilities in relation to the agility of an isolated motor abilities that are the subject of this research. Methods: In a sample of 16 selected girls aged 14 to 16 years (cadet age) participating in the camp Becej 2006, were measured two anthropometric mea¬su¬res for evaluation of morphological characteristics, three tests for evaluation of motor abi¬lities (both as predictor) and two tests for assessing agility (as criterion). The influ¬en¬ce of some anthropometric characteristics and motor abilities on agility in young fe¬male volleyball players lities was performed by regression analysis. Results: It can be con¬cluded that the system applied predictor variables showed no statistically sig¬ni¬fi¬cant association with variable Japan test, while the variable Jelka test a statistically sig¬ni¬ficant correlation. Discussion: Based on the overall analysis of the obtained re¬sults it was discovered that the explosive power (long jump from the place) and the speed of individual movements (hand tapping) have a high level of correlation with agi¬lity were detected in female volleyball players, which is based on previous research (Vu¬kovic, 1989) was and expected. Similar results were also other researchers (Webb and Lander, 1983; Negrete and Brophy, 2000)

CADENZA - D3.1: Initial Airspace Users and Air Navigation Service Provider models

Airspace Users (AUs) and Air Navigation Service Providers (ANSPs) are two of the most important key operational stakeholders in the Air Traffic Management (ATM) value-chain: AUs generate air traffic demand, while ANSPs (and airports) provide supply (capacity). Since the goal of CADENZA project is to improve overall network performance by exploring different advanced demand-capacity balancing options, it is necessary to understand business models, decision-making processes and practices of AUs and ANSPs. Majority of air traffic demand is generated by commercially oriented AUs (airlines), and while we could argue that vast majority of airlines seek to maximise profits, we can clearly observe the differences between different business models and strategies to achieve that goal. Traditional network carries usually operate in a hub&spoke network, sometimes with a significant share of transfer passengers on board. On the other hand, low-cost carriers in most cases operate in a so-called point-to-point network (usually without transfer passengers). There are other AU business models as well, with their own intrinsic characteristics. What is of particular interest for CADENZA project is to understand how AU plan their operations, with an emphasis on trajectory (flight planning), and they react and respond to disturbances in schedules and operations. ANSPs are, unlike AUs, in majority of cases non-for profit and government agencies. They provide, what is usually considered, (essential) public service (subject to various regulations), with a requirement to deliver enough capacity to accommodate airspace users’ needs, while maintaining safe, sustainable and cost-efficient provision of services. This is why capacity planning principles and practices are very important, especially knowing that traffic is inherently variable both in terms of total volume and spatio-temporal distribution in the network. The CADENZA team seeks to understand the capacity planning process in detail, as well as deployment of available capacity, since these practices differ from ANSP to ANSP.This Project Management Plan is part of a project that has received funding from the SESAR Joint Undertaking under grant agreement No 893380 under European Union’s Horizon 2020 research and innovation programme.Peer ReviewedPostprint (published version

EFFECTS OF PLYOMETRIC TRAINING ON THE MOTOR ABILITIES OF TENNIS PLAYERS

Plyometrics is a training method that uses an overload (Chu, 1983), and the main purpose of plyometric training is the development of greater reactive force (Allerheiligen & Rogers, 1995). Sports physiologists agree that plyometrics includes specific exercises that cause significant stretching of muscles located below the eccentric contraction, and followed by a strong concentric contraction, which is used for the development of a strong movement in a short period of time (LaChance, 1995). The aim of the research is to identify and analyze the transformative effects of plyometric exercise program on the manifest dimension of strength, agility and speed running experimental group of players. Methods: The sample consisted of 50 players were aged 17.5 years (± 6 months), who were divided into two groups. One group consisted of 25 tennis players TK “Gemaks” from Belgrade who represented the experimental group, while the second group included 25 tennis players TK “AS” from Belgrade who represented the control group. For evaluation of motor abilities used 4 tests. In order to determine differences between groups of respondents in the initial and final measurement was applied univariate analysis of variance. In order to determine the effect of training programs between the two tests was applied univariate analysis of covariance. Results: This research has proven that plyometric training, which was applied to a group of tennis players from Belgrade for a period of three months, youth ages contributed to improving their motor abilities, primarily explosive strength and agility. Discussion: Practice plyometric program combined with regular training for the development and improvement of techniques tennis game showed excellent results in order to improve the explosive leg strength, agility tennis players eksperimenatlne groups, and proved to be positive in working with junior tennis players ages. Research have shown that the development of explosive energy efficient stimulus muscle strain in the so-called. “Primetime” regime of strain that was applied through plyometric training tennis players experimental groups (Bacic et al, 2006)

Supplemental Material, Braun_et_al_Big_Data_Wrangling - Special Considerations for the Acquisition and Wrangling of Big Data

<p>Supplemental Material, Braun_et_al_Big_Data_Wrangling for Special Considerations for the Acquisition and Wrangling of Big Data by James M. LeBreton, Adam W. Meade, Michael T. Braun, Goran Kuljanin, and Richard P. DeShon in Organizational Research Methods</p