Oklahoma State University–Stillwater

About: Oklahoma State University–Stillwater is a education organization based out in Stillwater, Oklahoma, United States. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 18267 authors who have published 36743 publications receiving 1107500 citations. The organization is also known as: Oklahoma State University & OKState.

Role conflict and burnout: The direct and moderating effects of political skill and perceived organizational support on burnout dimensions.

Abstract: Drawing from previous research on the effect of role conflict on burnout and the Conservation of Resources theory, the authors propose that individual differences in political skill and perceptions of organizational support will be negatively related to burnout and will also moderate the relationship between perceived role conflict and burnout. In a sample of 120 professional employees, political skill was associated with less depersonalization and feelings of reduced personal accomplishment and moderated the role conflict-reduced personal accomplishment relationship. Perceived organizational support was associated with less emotional exhaustion and depersonalization and moderated the role conflict-emotional exhaustion relationship. Implications of results are discussed and directions for future research are offered.

Spectral Reflectance to Estimate Genetic Variation for In-Season Biomass, Leaf Chlorophyll, and Canopy Temperature in Wheat

Abstract: Spectral indices as a selection tool in plant breeding could improve genetic gains for different important traits. The objectives of this study were to assess the potential of using spectral reflectance indices (SRI) to estimate genetic variation for in-season biomass production, leaf chlorophyll, and canopy temperature (CT) in wheat (Triticum aestivum L.) under irrigated conditions. Three field experiments, GHIST (15 CIMMYT globally adapted historic genotypes), RILs1 (25 recombinant inbred lines [RILs]), and RILs2 (36 RILs) were conducted under irrigated conditions at the CIMMYT research station in northwest Mexico in three different years. Five SRI were evaluated to differentiate genotypes for biomass production. In general, genotypic variation for all the indices was significant. Near infrared radiation (NIR)–basedindicesgavethehighestlevelsofassociationwithbiomass production and the higher associations were observed at heading and grainfilling, rather than at booting. Overall, NIR-based indices were more consistent and differentiated biomass more effectively compared to the other indices. Indices based on ratio of reflection spectra cor

On the mechanics of the grinding process – Part I. Stochastic nature of the grinding process

Abstract: Grinding of metals is a complex material removal operation involving cutting, ploughing, and rubbing depending on the extent of interaction between the abrasive grains and the workmaterial under the conditions of grinding. It is also a stochastic process in that a large number of abrasive grains of unknown geometry, whose geometry varies with time, participate in the process and remove material from the workpiece. Also, the number of grains passing through the grinding zone per unit time is extremely large. To address such a complex problem, it is necessary to analyze the mechanics of the grinding process using probability statistics, which is the subject of this investigation. Such an analysis is applicable to both form and finish grinding (FFG), such as surface grinding and stock removal grinding (SRG), such as cut-off operation. In this investigation, various parameters of the process including the number of abrasive grains in actual contact, the number of actual cutting grains per unit area for a given depth of wheel indentation, the minimum diameter of the contacting and cutting grains, and the volume of the chip removed per unit time were determined analytically and compared with the experimental results reported in the literature. Such an analysis enables the use of actual number of contacting and cutting grains in the grinding wheel for thermal and wheel wear analyses. It can also enable comparison of analytical work with the experimental results and contribute towards a better understanding of the grinding process. The analysis is applied to some typical cases of fine grinding and cut-off operations reported in the literature. It is found that out of a large number of grains on the surface of the wheel passing over the workpiece per second (~million or more per second), only a very small fraction of the grains merely rub or plough into the workmaterial (∼3.8% for FFG and ∼18% for SRG) and even a smaller fraction (∼0.14% for FFG and ∼1.8% for SRG) of that participate in actual cutting, thus validating Hahn’s rubbing grain hypothesis.

Environmental dynamism and strategic decision‐making rationality: an examination at the decision level

Abstract: Several approaches have been used to explore environmental dynamism as a contingent predictor of the relationship between rational-comprehensive strategic decision-making and firm-level performance. At the decision level of analysis, however, small sample sizes, low statistical power, and statistical dependence have plagued the research. Through the use of a simulated decision-making environment and multilevel analysis, this study examined 400 decisions from 54 executive teams. Consistent with much of the existing firm-level research, the results indicated that environmental dynamism may moderate the relationship between rational-comprehensive decision making and decision quality. Surprisingly, the form of the relationship differed from much of the firm-level research. Copyright © 2003 John Wiley & Sons, Ltd.