The contribution of previous lameness events and body condition score to the occurrence of lameness in dairy herds: A study of 2 herds

It has been demonstrated that low body condition and previous occurrence of lameness increase the risk of future lameness in dairy cows. To date the population attributable fraction (PAF), which provides an estimate of the contribution that a risk factor makes toward the total number of disease events in a population, has not been explored for lameness using longitudinal data with repeated measures. Estimation of PAF helps to identify control measures that could lead to the largest improvements on-farm. The aim of this study was to use longitudinal data to evaluate the proportion of lameness that could be avoided in 2 separate herds (2 populations) through (1) reduced recurrence of previous lameness events, (2) and moving body condition score (BCS) into more optimal ranges. Data were obtained from 2 UK dairy herds: herd A, a 200-cow herd with 8 yr of data from a total of 724 cows where lameness events were based on weekly locomotion scores (LS; 1 to 5 scale), and herd B, a 600-cow herd with data recorded over 44 mo from a total of 1,040 cows where treatment of clinical cases was used to identify lameness events. The PAF for categories of BCS were estimated using a closed equation appropriate for multiple exposure categories. Simulation models were used to explore theoretical scenarios to reflect changes in BCS and recurrence of previous lameness events in each herd. For herd A, 21.5% of the total risk periods (cow-weeks) contained a lameness event (LS 3, 4, or 5), 96% of which were repeat events and 19% were recorded with BCS <2 (3 wk previously; 0 to 5 scale). When lameness events were based on 2 consecutive weeks of LS 4 or 5, 4% of risk periods were recorded as lame, of which 89.5% were repeat events. For herd B, 16.3% of the total risk periods (consecutive 30 d) contained a lameness event (72.6% were repeat events) and 20% were recorded with BCS ≤2 (0 to 120 d previously). The median PAF for all previous lameness was between 79 and 83% in the 2 herds. Between 9 and 21% of lameness events could be attributed to previous lameness occurring >16 wk before a risk period. The median PAF estimated for changes in BCS were in the region of 4 to 11%, depending on severity of lameness. Repeated bouts of lameness made a very large contribution to the total number of lameness events. This could either be because certain cows are initially susceptible and remain susceptible, due to the increased risk associated with previous lameness events, or due to interactions with environmental factors. This area requires further research.     

A Distributed Object-Oriented Finite-Element Analysis Program Architecture

This article presents a distributed object-oriented design for a nonlinear finite-element analysis using the message-passing paradigm and a single-program, multiple-data scheme. The architecture is an extension of an existing sequential object-oriented architecture. The design recognizes the costly communication startup time penalty by attempting to minimize the frequency of communications. This is facilitated by distributing not only the elements in the model but also their associated nodes and mapping between the degrees of freedom and the analytical equations of equilibrium. The proposed object design was implemented and tested on a nonlinear static pushover analysis of three moment-resisting frames.     

A Review of Literature on Effectiveness of Use of Information Technology in Education

Many engineering educators and administrators hope that new learning technologies can help relieve the accreditation and other curricular pressures without loss of learning nor added costs. With so much promise from use of new technologies, we conducted an extensive review of studies seeking evidence of this promise. Over 2,200 studies were reviewed (directly or indirectly) and about 760, which met our criteria, were used. Our review provides convincing evidence that information technologies can enhance learning when pedagogy is sound, and when there is good match of technology, techniques and objectives.