On political activism in digital games

This project investigates how players of digital games apply their own play with the intent to transmit political messages to other players. Acts of activism are collected from a sample of commercial multiplayer online games; three taxonomies are proposed of which one is used to present the findings, and popular patterns or structures of activism are identified. It is found that in-game activism often takes its cue from activism in everyday life, but that some original topics emerge, for example, the ownership of virtual worlds and practices of in-game political activism such as novel forms of rallies. Current political activism often appears to utilize generic and widely-shared game mechanics, rather than mechanics specific to individual games or genres. Games are therefore selected for their topics, availability, and costs, and popularity with the target audienceThis project investigates how players of digital games apply their own play with the intent to transmit political messages to other players. Acts of activism are collected from a sample of commercial multiplayer online games; three taxonomies are proposed of which one is used to present the findings, and popular patterns or structures of activism are identified. It is found that in-game activism often takes its cue from activism in everyday life, but that some original topics emerge, for example, the ownership of virtual worlds and practices of in-game political activism such as novel forms of rallies. Current political activism often appears to utilize generic and widely-shared game mechanics, rather than mechanics specific to individual games or genres. Games are therefore selected for their topics, availability, and costs, and popularity with the target audienc

DEVELOPING ACCURATE SPATIAL MAPS OF COTTON FIBER QUALITY PARAMETERS

Awareness of the importance of cotton fiber quality (Gossypium, L. sps.) has increased as advances in spinning technology require better quality cotton fiber. Recent advances in geospatial information sciences allow an improved ability to study the extent and causes of spatial variability in fiber parameters. However, these studies are often harvested by hand and ginned on small research gins. Fiber quality from cotton lint harvested and ginned in this manner is different from that machine-harvested and ginned on production-scale equipment. The objective of this study was to develop a method of correcting for error introduced into cotton fiber quality parameters from samples as a result of harvest and ginning methods. This correction method will allow more realistic comparisons between results that researchers commonly report and measurements that a producer would receive. Field-grown cotton was harvested either by machine or hand, and ginned on a small research gin or a production-scale gin. The results reported here examine the population characteristics for physiological fiber parameters including micronaire, strength, length and uniformity. The correction needed for translating the research results to the production scale was determined. The error inherent in that correction was determined for different populations of cotton fibers from different years. To demonstrate the impact of the research-induced error and the correction factor, spatial maps of cotton fiber length are plotted

A Motivational Determinant of Facial Emotion Recognition : Regulatory Focus Affects Recognition of Emotions in Faces

Funding: The research was supported by The Netherlands Organization for Scientific Research (NWO, project 452-07-006). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Peer reviewedPublisher PD

The Cost of Tillage

Tillage has been a common event in farming for centuries. New information and management practices are demonstrating better ways of managing the soil to reduce erosion and improve productivity and profitability. Tillage destroys the soil structure, actually increasing the weeds and reducing the water holding capacity of the soil. Highly erodible areas of a field can lose more than 5 tons of soil per year with conventional tillage. Converting to no-till management can reduce production costs more than $30 per acre per year, saving topsoil and reducing management time in the field

Measuring Soil Electrical Conductivity to Delineate Zones of Variability in Production Fields

Production fields in southeast Kansas are highly variable. Differences in elevation and changes in soil texture contribute to unevenness in plant-available moisture and nutrients, resulting in significant inconsistencies in crop production and yield within a field. These variabilities complicate management and impact the return on investments from different areas of the field. Identification of the regions of variability is possible through several methods, including visual inspection, remote imagery, and yield maps. An additional method of assessing soil variability is by measuring the electrical conductivity of the soil. Measuring apparent electrical conductivity gives a map of the spatial distribution of soil properties, which can be used to identify potential limitations to production and develop site-specific management. Delineation of within-field variability can be used to target production inputs to better match potential crop yield with inputs to maximize return on investment

Wheat Production

Wheat production in southeast Kansas is often limited due to high rainfall during the harvest. In some years, this high rainfall can exacerbate disease pressure, especially fungal infections. This study presents results from a test of fungicide applications to control Fusarium head blight (FHB) or scab in poor quality wheat

Hydrologic and Nutrient Modeling within an Agricultural Watershed in Southeast Kansas

Access to safe, clean water is important to support society. Agricultural watersheds are often contaminated due to agricultural activities. Identification of specific factors contributing to impairment of water bodies is important to target remediation efforts. This research is designed to explore water quality within the Middle Neosho Watershed in southeastern Kansas to make more informed decisions in potential corrective actions

Corn Date of Planting and Depth

The exceptionally wet weather in 2019 impacted corn yield. Excessive rainfall reduced corn emergence and plant stand. Many production fields were replanted due to poor stand from flooding. In this study, corn that was planted too shallow (1 inch) or too deep (3 inches) had less yield than that planted at 2-inch depth. The best yield was observed in the corn planted on April 16, 2019. The results from this record wet year were different from previous years, when early planted corn had higher yields