نتایج جستجو برای: مدل jd
تعداد نتایج: 122230 فیلتر نتایج به سال:
this study was carried out to control johne’s disease (jd) without interfering with tuberculosis (tb)control programme. a dairy herd (n>1500 heads) was used over a period of 6 years, from 1994 to 1999 forthis investigation. the herd had a history of heavy infection with mycobacterium avium paratuberculosis(map) with culling rates of 1.5 and 5%, in 1991 and 1995, respectively. the mean annual lo...
The Jacobi–Davidson (JD) algorithm was recently proposed for evaluating a number of the eigenvalues of a matrix. JD goes beyond pure Krylov-space techniques; it cleverly expands its search space, by solving the so-called correction equation, thus in principle providing a more powerful method. Preconditioning the Jacobi–Davidson correction equation is mandatory when large, sparse matrices are an...
Paratuberculosis, or Johne's disease (JD), is caused by Mycobacterium avium subspecies paratuberculosis (MAP), is found in ruminants worldwide and can cause considerable economic losses in cattle. Control efforts and programs for JD in cattle are very diverse among European states, in Austria clinical JD is rated as a notifiable disease since 2006. The voluntary control programs established in ...
The Evaluation of Wheat Losses Harvesting in Two Conventional Combine (John Deere 1165, 955) in Iran
Wheat is one of the most important food staff in consumption pattern of each country. More than 50 percent of energy is provided by bread in the developing countries. The aim of this study was measuring wheat losses during pre-harvest and harvest stages in Chaharmahal and Bakhtiari province of Iran in year 2013. Wheat losses at harvest stages were measured to wheat varieties in 2 levels of Omid...
Wheat is one of the important food staff in consumption pattern of each country. More than 50 % of human energy is supplied from bread in the developing country. Combine losses is less than 2-3% in developed countries, while in developing country is about 15-20% in different regions and circumstances of harvesting seasons and field conditions. In this research project that effect of combine typ...
Studies using the Job Demands-Resources (JD-R) model commonly have a heterogeneous focus concerning the variables they investigate-selective job demands and resources as well as burnout and work engagement. The present study applies the rationale of the JD-R model to expand the relevant outcomes of job demands and job resources by linking the JD-R model to the logic of a generic health developm...
Johne's disease (JD) is one of the most costly bacterial diseases in cattle. In the U.S., economic losses from the disease have been estimated to exceed $1,500,000,000 per year, mainly from the effects of reduced milk production. Current diagnostic tests for JD are laboratory based and many of those tests require specialized equipment and training. Development of rapid and inexpensive diagnosti...
INTRODUCTION Jejunal diverticular (JD) disease is an uncommon occurrence that frequently present as a diagnostic dilemma. The correct diagnosis from complications of JD is typically made at laparotomy. Most JD are asymptomatic. Of clinically significant small bowel diverticula, only 15% present with surgical problems including obstruction, gastrointestinal bleed, and perforation. PRESENTATION...
Johne's disease (JD) is an infectious, progressive, gastrointestinal disease affecting ruminants. Calves are mostly infected in their first six months of life, or in utero. We investigated the impact of specific periparturient management practices on within-herd JD prevalence and economic losses foregone in UK dairy herds by means of data synthesis (systematic appraisal of published evidence an...
In this paper, we develop a density evolution (DE) framework for analyzing the iterative joint decoding (JD) non-orthogonal multiple access (NOMA) systems, where ordered-statistics (OSD) is applied to decode short block codes. We first investigate density-transform feature of soft-output OSD (SOSD), by deriving extrinsic log-likelihood ratio (LLR) with known densities priori LLR. Then, represen...
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