Dynamics and impact of footrot and climate on hoof horn length in 50 ewes from one farm over a period of 10 months.

Footrot, including interdigital dermatitis, is caused by Dichelobacter nodosus cause the majority of lameness in sheep in the UK. Lame sheep often have overgrown hoof horn but recent evidence has indicated that trimming overgrown hoof horn increases recovery time, and that routine foot trimming of the flock does not reduce the prevalence or incidence of lameness. The objectives of this study were to investigate the temporal associations between hoof horn length, footrot and climate. Fifty multiparous ewes were monitored for 10 months. On eight occasions hoof horn length, foot lesions and body condition were recorded. At the first examination, ewes were assigned to one of two treatment groups. All ewes that became lame with footrot were treated at one time point per week, either by trimming hoof horn and applying a topical antibiotic spray or with parenteral antibiotic and topical antibiotic spray. Hoof horn length in ewes at pasture varied over the year and was associated with temperature and rainfall. New cases of footrot occurred all year round and were associated with prior prevalence of footrot in the flock and prior temperature and rainfall. Overgrown hoof horn did not precede lameness but occurred once the sheep were lame. One year of prompt treatment of footrot reduced the range in hoof horn length in the sheep in both treatment groups. At the end of the study the hoof lengths of ewes in both groups were not significantly different. On this farm, hoof horn length was self-regulating in both non-lame and treated lame sheep whether trimming was part of the treatment or not and there would have been no benefit from routine foot trimming of this flock.

Subcutaneously administered ofatumumab in rheumatoid arthritis: a phase I/II study of safety, tolerability, pharmacokinetics, and pharmacodynamics.

OBJECTIVE: To investigate the safety and tolerability of a single subcutaneous (SC) dose of ofatumumab, a fully human anti-CD20 monoclonal antibody, in patients with rheumatoid arthritis (RA) taking background methotrexate (MTX). Secondary objectives included characterizing pharmacokinetics and pharmacodynamics. METHODS: In this single-blind, phase I/II study, 35 patients with RA were randomized in 5 cohorts to receive a single subcutaneous (SC) ofatumumab dose ranging from 0.3 to 100 mg, or placebo, following premedication with oral acetaminophen and antihistamine. Patients were followed for 24 weeks with extended followup to monitor B cell and immunoglobulin recovery for up to 2 years if required. RESULTS: Thirty-five patients received the following treatment: 0.3 mg, n = 4; 3 mg, n = 6; 30 mg, n = 8; 60 mg, n = 6; 100 mg, n = 3; placebo, n = 8. The most common adverse events in the combined ofatumumab groups were headache, nausea, and upper respiratory tract infection. Because of tolerability concerns, only 3 patients were given 100 mg. For the 30-100 mg doses, median maximum plasma concentration values ranged from 4.02 to 4.49 days. Mean elimination half-life values ranged from 5.20 to 6.83 days. Increasing peripheral median B cell depletion was observed from 0.3 mg up to 30 mg, and full target B cell depletion was achieved with 30 mg, 60 mg, and 100 mg. CONCLUSION: Treatment of RA patients with SC ofatumumab doses of 30 mg or higher resulted in profound and prolonged B cell depletion in blood. Single doses up to 60 mg were tolerated without glucocorticoid premedication. (ClinicalTrials.gov identifier NCT00686868).

Automatic identification of individual killer whales.

Following the successful use of HMM and GMM models for classification of a set of 75 calls of northern resident killer whales into call types [Brown, J. C., and Smaragdis, P., J. Acoust. Soc. Am. 125, 221-224 (2009)], the use of these same methods has been explored for the identification of vocalizations from the same call type N2 of four individual killer whales. With an average of 20 vocalizations from each of the individuals the pairwise comparisons have an extremely high success rate of 80 to 100% and the identifications within the entire group yield around 78%.

Hidden Markov and Gaussian mixture models for automatic call classification.

Automatic methods of classification of animal sounds offer many advantages including speed and consistency in processing massive quantities of data. Calculations have been carried out on a set of 75 calls of Northern Resident killer whales, previously classified perceptually (human classification) into seven call types, using, hidden Markov models (HMMs) and Gaussian mixture models (GMMs). Neither of these methods has been used previously for classification of marine mammal call types. With cepstral coefficients as features both HMMs and GMMs give over 90% agreement with the perceptual classification, with the HMM over 95% for some cases.

Evaluation of GW406381 for treatment of osteoarthritis of the knee: two randomized, controlled studies.

CONTEXT: GW406381 is an investigational, highly selective cyclooxygenase-2 (COX-2) inhibitor that is effective in animal models of central sensitization and of inflammatory pain. OBJECTIVE: To examine dose response for efficacy and safety of GW406381 in adults with osteoarthritis (OA) of the knee. DESIGN: Two randomized, double-blind, placebo- and positive-control studies: Study A, a 6-week nonflare design; Study B, a 12-week flare design. PATIENTS: 649 patients entered Study A; 1331 patients entered Study B. STUDY A: GW406381 10, 20, 35, or 50 mg, celecoxib 200 mg, or placebo. Study B: GW406381 1, 5, 10, 25, or 50 mg, celecoxib 200 mg, or placebo. MAIN OUTCOME MEASURES: Study A, co-primary endpoints were change from baseline in Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain subscore and WOMAC question 1. Study B co-primary endpoints were change from baseline in WOMAC pain and function subscores and Patient Global Assessment of Arthritis Condition. A closed hierarchical test procedure was prespecified. RESULTS: Study A demonstrated that GW406381 50 mg was superior to placebo on WOMAC pain subscore (mean difference from placebo -6.9 mm; P= .012). No clear dose response was observed, and the results with celecoxib were no different from those of placebo. In Study B, no dose of GW406381 was superior to placebo on the co-primary endpoints. Celecoxib was superior to placebo on all co-primary endpoints. Dose-related blood pressure and renovascular effects were seen with GW406381. CONCLUSIONS: Overall, clinically meaningful efficacy in pain related to OA of the knee was not demonstrated for GW406381 despite its peripheral and central sites of action.

Mathematics of pulsed vocalizations with application to killer whale biphonation.

Formulas for the spectra of pulsed vocalizations for both the continuous and discrete cases are rigorously derived from basic formulas for Fourier analysis, a topic discussed qualitatively in Watkins' classic paper on "the harmonic interval" ["The harmonic interval: Fact or artifact in spectral analysis of pulse trains," in Marine Bioacoustics 2, edited by W. N. Tavogla (Pergamon, New York, 1967), pp. 15-43]. These formulas are summarized in a table for easy reference, along with most of the corresponding graphs. The case of a "pulse tone" is shown to involve multiplication of two temporal wave forms, corresponding to convolution in the frequency domain. This operation is discussed in detail and shown to be equivalent to a simpler approach using a trigonometric formula giving sum and difference frequencies. The presence of a dc component in the temporal wave form, which implies physically that there is a net positive pressure at the source, is discussed, and examples of the corresponding spectra are calculated and shown graphically. These have application to biphonation (two source signals) observed for some killer whale calls and implications for a source mechanism. A MATLAB program for synthesis of a similar signal is discussed and made available online.

Automatic classification of killer whale vocalizations using dynamic time warping.

A set of killer whale sounds from Marineland were recently classified automatically [Brown et al., J. Acoust. Soc. Am. 119, EL34-EL40 (2006)] into call types using dynamic time warping (DTW), multidimensional scaling, and kmeans clustering to give near-perfect agreement with a perceptual classification. Here the effectiveness of four DTW algorithms on a larger and much more challenging set of calls by Northern Resident whales will be examined, with each call consisting of two independently modulated pitch contours and having considerable overlap in contours for several of the perceptual call types. Classification results are given for each of the four algorithms for the low frequency contour (LFC), the high frequency contour (HFC), their derivatives, and weighted sums of the distances corresponding to LFC with HFC, LFC with its derivative, and HFC with its derivative. The best agreement with the perceptual classification was 90% attained by the Sakoe-Chiba algorithm for the low frequency contours alone.

Classification of vocalizations of killer whales using dynamic time warping.

A large number of killer whale sounds have recently been classified perceptually into Call Types. [A. Hodgins-Davis, thesis, Wellesley College (2004)]. The repetition rate of the pulsed component of five or more examples of each call type has been calculated using a modified form of the FFT based comb-filter method. A dissimilarity or distance matrix for these sounds was calculated using dynamic time warping to compare their melodic contours. These distances were transformed into a component space using multidimensional scaling and the resulting points were clustered with a kmeans algorithm. In grouping 57 sounds into 9 call types, a single discrepancy between the perceptual and the automated methods occurred.

Independent component analysis for automatic note extraction from musical trills.

The method of principal component analysis, which is based on second-order statistics (or linear independence), has long been used for redundancy reduction of audio data. The more recent technique of independent component analysis, enforcing much stricter statistical criteria based on higher-order statistical independence, is introduced and shown to be far superior in separating independent musical sources. This theory has been applied to piano trills and a database of trill rates was assembled from experiments with a computer-driven piano, recordings of a professional pianist, and commercially available compact disks. The method of independent component analysis has thus been shown to be an outstanding, effective means of automatically extracting interesting musical information from a sea of redundant data.