Measurement of Both Gas and Particle Velocity in Turbulent Two-Phase Flow

A laser-Doppler anemometer was used to measure the velocity of both the gas and particles in a turbulent two-phase flow for conditions when the distribution of the velocities of the two phases overlaps. The velocities from the two phases are separated by comparing the Doppler amplitude to the pedestal amplitude. Results of the measure of the gas-particle flow downstream of a nozzle mounted in a circular pipe are presented

The New FARM Program: A Model for Supporting Diverse Emerging Farmers and Early-Career Extension Professionals

As early-career Extension educators challenged by societal, structural, agricultural, and fiscal trends, we designed a multiyear educational program to support the diverse needs of emerging specialty crop producers in northwest Michigan. This article presents outcomes of that program. We explore how Extension professionals can develop impactful programs that address the varied needs of the next generation of agricultural producers. We provide an overview of the New FARM program, addressing the rationale, program objectives, program logistics, evaluation results, and implications. We hope the New FARM program will serve as a useful model for early-career Extension professionals

Participatory Data Collection Technique for Capturing Beginning Farmer Program Outcomes

This article describes an innovative evaluation plan we employed to capture outcomes of a multiyear beginning farmer program and, specifically, highlights the facilitation technique we used to document short-term and intermediate goals of the program that matched U.S. Department of Agriculture grant requirements and Extension administration priorities. Developing a comprehensive, two-phase evaluation plan based on a well-conceived logic model was a key factor in the success of the New FARM program. Our midterm and end-of-program evaluations addressed often sought, but sometimes difficult to obtain, intermediate goals from the logic model and demonstrated program effectiveness to a variety of funders

Predicting erythropoietin resistance in hemodialysis patients with type 2 diabetes

<p>Background: Resistance to ESAs (erythropoietin stimulating agents) is highly prevalent in hemodialysis patients with diabetes and associated with an increased mortality. The aim of this study was to identify predictors for ESA resistance and to develop a prediction model for the risk stratification in these patients.</p> <p>Methods: A post-hoc analysis was conducted of the 4D study, including 1015 patients with type 2 diabetes undergoing hemodialysis. Determinants of ESA resistance were identified by univariate logistic regression analyses. Subsequently, multivariate models were performed with stepwise inclusion of significant predictors from clinical parameters, routine laboratory and specific biomarkers.</p> <p>Results: In the model restricted to clinical parameters, male sex, shorter dialysis vintage, lower BMI, history of CHF, use of ACE-inhibitors and a higher heart rate were identified as independent predictors of ESA resistance. In regard to routine laboratory markers, lower albumin, lower iron saturation, higher creatinine and higher potassium levels were independently associated with ESA resistance. With respect to specific biomarkers, higher ADMA and CRP levels as well as lower Osteocalcin levels were predictors of ESA resistance.</p> <p>Conclusions: Easily obtainable clinical parameters and routine laboratory parameters can predict ESA resistance in diabetic hemodialysis patients with good discrimination. Specific biomarkers did not meaningfully further improve the risk prediction of ESA resistance. Routinely assessed data can be used in clinical practice to stratify patients according to the risk of ESA resistance, which may help to assign appropriate treatment strategies.</p&gt