Lameness in dairy cows: farmer perceptions and automated detection technology.

This Research Reflection provides an overview of three interrelated topics: (i) lameness in dairy cows, demonstrating the underpinning importance of the condition, (ii) dairy farmer detection, diagnosis and treatment of lameness and associated foot lesions as well as dairy farmer perceptions towards the condition and (iii) lameness detection technologies, and their potential application on farm to automate the detection of lameness in commercial dairy herds. The presented literature clearly demonstrates that lameness is a major health issue in dairy herds, compromising dairy cow welfare and productivity, and resulting in significant economic implications for dairy farmers. Despite this, dairy farmers fail to perceive lameness as a serious threat to their dairy business. This restricted perception of the importance of lameness may be a product of limited ability to detect lame cows. Many automated lameness detection technologies have been proposed to assist dairy farmers in managing their herds. However, limitations such as cost, performance and dairy farmer perception of the usefulness of these technologies, has lead to poor uptake. It can, therefore, be concluded that there is a need to more thoroughly evaluate the effectiveness of these technologies under on-farm conditions, potentially in the form of a demonstration farm network. This will allow generation of the necessary data required to show dairy farmers that these technologies are reliable and are economically rational for their dairy business.

Examination of the Construct Validity of the Repeatable Battery for the Assessment of Neuropsychological Status Language Index in a Mixed Neurological Sample.

OBJECTIVE: We sought to examine the construct validity of the Language Index of the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). METHODS: Archival neuropsychological data were collected for 2,057 individuals of diverse neurological etiologies. RESULTS: Correlations were seen between the RBANS Language Index and its indices (Semantic Fluency r = .727; Picture Naming r = .786), between Semantic Fluency and both Category Fluency (r = .379) and the Controlled Oral Word Association test (r = .375), and between Picture Naming and both Visual Naming from the Multilingual Aphasia Examination (r = .447) and the Boston Naming Test (r = .519). Finally, Picture Naming predicted performance on both Visual Naming [F(1,495) = 123.36, p < .000] and the Boston Naming Test [F(1,262) = 96.28, p < .000]. CONCLUSION: Given these results, support for the interpretation of RBANS Language Index appears warranted in a diverse clinical sample.