Detection of Progression of Clinical Mastitis in Cows Using Hidden Markov Model

Saifudeen, Safeer M.

doi:10.18782/2320-7051.2877

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…It is characterized by inflammation of mammary gland in response to injury, for the purpose of counter acting the aggressors and to enhance healing and restore the physiological function. In the dairy cow, mastitisis constantly caused by microorganisms; usually bacteria, that invade the udder, multiply in the milk-producing tissues, and produce toxins that are the immediate cause of injury (Saifudeen et al, 2017). The primary phagocytic cells of the bovine mammary gland, polymorphonuclear neutrophil leukocytes (PMN), and macrophages, comprise the first line of defence against invading pathogens.…”

Section: Introductionmentioning

confidence: 99%

Original article Farming system affecting the in vitro activity of a Hippophaerhamnoides L. extract on phagocytosis in mastitic cows

Ciprian¹,

Páll²,

Mihaela³

et al. 2018

Ann. Phytomed

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Innate cell-media ted defense mechanisms inclu de neu trophils as importa nt factors during phagocytosis and killing of the bacteria. Their presence is considered to be crucial in controlling the in situ infection, especially in high yielding cows. The research was carried out to evaluate the impact of clinical mastitis recorded under different farming technologies on the non-specific cell-mediated responses to Hippo pha e rha mno ide s L. a lcoholic extract and its potential therapeutic use.Randomly selected dairy cows showing clinical signs of mastitis were sampled for blood on two farms which were different in terms of raising technologies. Causative agents were identified from the milk by Sensititre Opti Read from Mueller Hinton agar plates. Carbon particle inclusion test was performed using an alcoholic Sea buckthorn extract to treat phagocytic cells. Phagocytic activity index was calculated as the difference between the natural logarithms of the optical densities of the phagocytosis divided by time (45 and 15 min, respectively). The statistical significance of the differences between the groups was interpreted by Student t-test.The results indicated that Streptococcus uberis represented the dominant bacterium on one farm while Staphylococcus aureus / E. coli were present in mastitic milk on the other. The spontaneous phagocytosis was increased in mastitic cows from the tie stall farm, while the response to the Hippophae extract significantly (p<0.0004) increased with 132.86% on the free range compared to the tie stall farm. The Sea buckthorn activity was stimulating in healthy cows on the free range farm, but negatively influenced by tie stall raising.The effects of the H. hamnoides alcoholic extract on the phagocytosis were conditioned not only by its composition but also by external factor complex, including the raising technology used on the farm.

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Section: Introductionmentioning

confidence: 99%

Original article Farming system affecting the in vitro activity of a Hippophaerhamnoides L. extract on phagocytosis in mastitic cows

Ciprian¹,

Páll²,

Mihaela³

et al. 2018

Ann. Phytomed

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Psoriasis Skin Disease Identification Using Support Vector Machine(SVM) Image Classification and Determining the Growth Rate

Thamizhvani

Ajayan²,

Sannidhya³

et al. 2022

J. Phys.: Conf. Ser.

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In the Indian population, a larger part is under the subsistence level. Most of the people are living in areas of poor sanitation and have very little access to good medical facilities. From time to time, they don’t have the notice to go to a physician at the absolute time. The condition has been defined as a skin disorder or disease wherever there is a failure to induce the right identification and treatment in time typically ends up in advanced stages. Skin diseases tend to be itchy and cover the body easily. Among them, Psoriasis exists as a chronic inflammatory disease characterized by scaly patches on the skin. The proposed system focuses on SVM segmentation and scaling of 2D processed skin pore images of Psoriasis. The Feature Scaling Technique uses color, contrast, and image texture along with a combination of SVM classification features to diagnose and come up with a treatment solution. This computer-assisted image processing system removes erythematous from the psoriasis image for analysis and determination of growth rate. Therefore, earlier identification cuts back the symptoms of the illness and helps in developing a condition that indulges the strategies to live along with the disease condition called Psoriasis.

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Detection of Progression of Clinical Mastitis in Cows Using Hidden Markov Model

Cited by 2 publications

References 5 publications

Original article Farming system affecting the in vitro activity of a Hippophaerhamnoides L. extract on phagocytosis in mastitic cows

Original article Farming system affecting the in vitro activity of a Hippophaerhamnoides L. extract on phagocytosis in mastitic cows

Psoriasis Skin Disease Identification Using Support Vector Machine(SVM) Image Classification and Determining the Growth Rate

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