702 research outputs found

    Treatment of Postpartum Metritis in Dairy Cows

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    Bovine postparturient metritis is an economically significant problem in most dairy herds. Although mortality is low, morbidity is often high, and systemic illness may result in lowered feed consumption and decreased milk production, as well as losses incurred because of milk dumping due to antibiotic residues in milk from treated cows. Metritis significantly increases days to conception and services per conception, leading to losses \u27from reduced milk production associated with longer calving intervals and higher insemination costs. Fertility may be permanently impaired in some cows, causing higher culling rates and the associated increase in replacement costs. Culling because of decreased fertility often results in a loss of freedom to cull for other factors such as low production, and may result in the culling of genetically superior animals

    Exogenous Control of the Estrous Cycle in the Mare

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    The control of estrus, and more importantly ovulation, may be desirable in a breeding program to service an animal at a predetermined time, to synchronize ovulation in a group of mares, or to spread ovulations over a prolonged period of time according to the various needs of managing the breeding animals. Ideally, the goal would be to control ovulation with enough precision that breeding could be done without the necessity of estrus detection

    Prenatal cocaine exposure and prematurity: Neurodevelopmental growth

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    The consequences of prematurity and prenatal cocaine exposure on early neurobehavior and physical growth were examined longitudinally in a sample of 20 cocaine-exposed and 20 nonexposed preterm neonates. The magnitude of the difference in physical growth acceleration related to prenatal cocaine exposure increased with increasing birth gestational age, whereas growth rate differences in irritability decreased. In contrast, prenatal cocaine exposure, independent of prematurity, was related to reduced attention skills at 36 wks conceptional age and increased rates of neurobehavioral change. The effects of prenatal cocaine exposure differed with respect to the degree of prematurity, depending on the nature of the outcome examined, suggesting differing windows of vulnerability for different outcome domains. The usefulness of a developmental growth perspective was demonstrated

    Cross-instrument feasibility, validity, and reproducibility of wireless heart rate monitors:Novel opportunities for extended daily life monitoring

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    Wired ambulatory monitoring of the electrocardiogram (ECG) is an established method used by researchers and clinicians. Recently, a new generation of wireless, compact, and relatively inexpensive heart rate monitors have become available. However, before these monitors can be used in scientific research and clinical practice, their feasibility, validity, and reproducibility characteristics have to be investigated. Therefore, we tested how two wireless heart rate monitors (i.e., the Ithlete photoplethysmography (PPG) finger sensor and the Cortrium C3 ECG monitor perform against an established wired reference method (the VU-AMS ambulatory ECG monitor). Monitors were tested on cross-instrument and test-retest reproducibility in a controlled laboratory setting, while feasibility was evaluated in protocolled ambulatory settings at home. We found that the Cortrium and the Ithlete monitors showed acceptable agreement with the VU-AMS reference in laboratory setting. In ambulatory settings, assessments were feasible with both wireless devices although more valid data were obtained with the Cortrium than with the Ithlete. We conclude that both monitors have their merits under controlled laboratory settings where motion artefacts are minimized and stationarity of the ECG signal is optimized by design. These findings are promising for long-term ambulatory ECG measurements, although more research is needed to test whether the wireless devices' feasibility, validity, and reproducibility characteristics also hold in unprotocolled daily life settings with natural variations in posture and activities

    ACTman:Automated preprocessing and analysis of actigraphy data

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    Objectives: To introduce a novel software-library called Actigraphy Manager (ACTman) which automates labor-intensive actigraphy data preprocessing and analyses steps while improving transparency, reproducibility, and scalability over software suites traditionally used in actigraphy research practice. Design: Descriptive. Methods: Use cases are described for performing a common actigraphy task in ACTman and alternative actigraphy software. Important inefficiencies in actigraphy workflow are identified and their consequences are described. We explain how these hinder the feasibility of conducting studies with large groups of athletes and/or longer data collection periods. Thereafter, the information flow through the ACTman software is described and we explain how it alleviates aforementioned inefficiencies. Furthermore, transparency, reproducibility, and scalability issues of commonly used actigraphy software packages are discussed and compared with the ACTman package. Results: It is shown that from an end-user perspective ACTman offers a compact workflow as it automates many preprocessing and analysis steps that otherwise have to be performed manually. When considering transparency, reproducibility, and scalability the design of the ACTman software is found to outperform proprietary and open-source actigraphy software suites. As such, ACTman alleviates important bottlenecks within actigraphy research practice. Conclusions: ACTman facilitates the current transition towards larger datasets containing data of multiple athletes by automating labor-intensive preprocessing and analyses steps within actigraphy research. Furthermore, ACTman offers many features which enhance user-convenience and analysis customization, such as moving window functionality and period selection options. ACTman is open-source and thus fully verifiable, in contrast with many proprietary software packages which remain a black box for researchers

    Predicting recurrence of depression using cardiac complexity in individuals tapering antidepressants

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    Funding Information: We would like to thank GM Bloem, D Sloohof, G Arts, and E van den Kieboom for their work on (pre-)processing the physiological data. This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (ERC-CoG-2015; No. 681466 to M Wichers). The Cortrium monitors were kindly provided by the iLab of the Department of Psychiatry of the University Medical Center Groningen (UMCG, http://www.ilab-psychiatry.nl ).Peer reviewe
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