An Approximate Procedure for Determining Prediction Error Variances of Sire Evaluations

Prediction errors of sire evaluations can be obtained directly from the inverse of the appropriate coefficient matrix. Considerably more effort is required to obtain the inverse in practical situations than can be justified for publication of a confidence figure. An approximate prediction error variance, k/(n + 20), is used currently in the Northeast Artificial Insemination Sire Comparison where n is the number of daughters and k is an appropriate breed constant corresponding to the residual variance. This procedure, however, does not account for distribution of sires across herds nor several lactations per daughter. Thus, the diagonal elements of the sire equations after absorption of cow, sire-by-herd, natural service sire, and herd-year-season equations were chosen as likely indicators of the prediction error variance for this more complicated model. Simple regression was used to relate prediction error variance obtained from the inverse to the diagonal after absorption. The coefficient of determination was .995 or greater in all cases. A single approximate prediction error variance of sire evaluation (group plus sire solution) could be used for Ayrshire, Guernsey, Jersey, and Brown Swiss bulls (and probably for Holsteins, which were not studied). The approximate prediction error variance is [-.0014 + 1.08/diagonal] times the appropriate residual variance. An approximation comparable to repeatability for herdmate comparisons also was derived as [1.01 - 9/diagonal]

Towards the noise reduction of piezoelectrical-driven synthetic jet actuators

This paper details an experimental investigation aimed at reducing the noise output of piezoelectrical-driven synthetic jet actuators without compromising peak jet velocity. Specifically, the study considers double-chamber ('back-to-back') actuators for anti-phase noise suppression and corrugated-lobed orifices as a method to enhance turbulent mixing of the jets to suppress jet noise. The study involved the design, manufacture and bench test of interchangeable actuator hardware. Hot-wire anemometry and microphone recordings were employed to acquire velocity and noise measurements respectively for each chamber configuration and orifice plate across a range of excitation frequencies and for a fixed input voltage. The data analysis indicated a 32% noise reduction (20 dBA) from operating a singlechamber, circular orifice SJA to a double-chamber, corrugated-lobed orifice SJA at the Helmholtz resonant frequency. Results also showed there was a small reduction in peak jet velocity of 7% (~3 m/s) between these two cases based on orifices of the same discharge area. Finally, the electrical-to-fluidic power conversion efficiency of the double-chamber actuator was found to be 15% across all orifice designs at the resonant frequency; approximately double the efficiency of a single-chamber actuator. This work has thus demonstrated feasible gains in noise reduction and power efficiency through synthetic jet actuator design

A global call for action to include gender in research impact assessment

Global investment in biomedical research has grown significantly over the last decades, reaching approximately a quarter of a trillion US dollars in 2010. However, not all of this investment is distributed evenly by gender. It follows, arguably, that scarce research resources may not be optimally invested (by either not supporting the best science or by failing to investigate topics that benefit women and men equitably). Women across the world tend to be significantly underrepresented in research both as researchers and research participants, receive less research funding, and appear less frequently than men as authors on research publications. There is also some evidence that women are relatively disadvantaged as the beneficiaries of research, in terms of its health, societal, and economic impacts. Historical gender biases may have created a path dependency that means that the research system and the impacts of research are biased towards male researchers and male beneficiaries, making it inherently difficult (though not impossible) to eliminate gender bias. In this commentary, we – a group of scholars and practitioners from Africa, America, Asia, and Europe– argue that gender-sensitive research impact assessment could become a force for good in moving science policy and practice towards gender equity. Research impact assessment is the multidisciplinary field of scientific inquiry that examines the research process to maximise scientific, societal, and economic returns on investment in research. It encompasses many theoretical and methodological approaches that can be used to investigate gender bias and recommend actions for change to maximise research impact. We offer a set of recommendations to research funders, research institutions, and research evaluators who conduct impact assessment on how to include and strengthen analysis of gender equity in research impact assessment and issue a global call for action

Precipitação artificial após aplicação do inseticida clorantraniliprole associado com adjuvante em plantas de soja

The insecticide use on insect pest control is an important tool to keep high yields on soybeans. However, little is known about the behavior of the insecticide in adverse conditions, such as spraying followed by precipitation. The use of adjuvants associated with insecticides is another factor that can be related to improvement of its efficiency. This study aimed to evaluate the effects of the influence of four precipitation periods after the pulverization of the insecticide clorantraniliprole (2g of the active ingredient ha(-1)). A mixed of different adjuvants on the control of caterpillars on soybeans were evaluated. The assay was performed using two cultivars in six pots (2 plants/ pots) for a factor scheme of 5x5. The factor adjuvants consisted of one untreated (without adjuvants) and four adjuvants (Assist (R) - 0,5%, Naturo'il (R) - 0,5%, Nitro LL (R) - L ha(-1) and Silwet L-77 (R) - 0,1%). The factor artificial precipitation ( 20mm) consisted of one untreated (without precipitation) and four precipitation intervals (1, 120, 240 and 360 minutes) after the application of clorantraniliprole with adjuvants. The results showed that the precipitation of 20mm, 1 minute after the clorantraniliprole pulverization, reduces the Anticarsia gemmatalis mortality, and that the precipitation 240 min after the pulverization does not interfere in the mortality of A. gemmatalis on soybeans. The adjuvants Assist (R) and Naturo'il (R) associated to the insecticide clorantraniliprole increases the A. gemmatalis mortality on soybeans