ACTIVATED NETWORKING OF PLATELET ACTIVATING FACTOR RECEPTOR AND FAK/STAT1 INDUCES MALIGNANT POTENTIAL IN BRCA1-MUTANT AT-RISK OVARIAN EPITHELIUM

Activated networking of platelet activating factor receptor and FAK/STAT1 induces malignant potential in BRCA1-mutant at-risk ovarian epithelium

Abstract Objectives It is essential to understand the molecular basis of ovarian cancer etiology and tumor development to provide more effective preventive and therapeutic approaches to reduce mortality.Particularly, the molecular targets and pathways involved in early malignant transformation are still not clear.Pro-inflammatory lipids and pathway

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Epidemiology of Traumatic Tusk Fractures of Managed Elephants in North America, South America, Europe, Asia and Australia

Elephant tusk fractures are a management and medical challenge that can escalate into life-threatening complications.Here, an international survey was sent to elephant managers to understand the risk factors associated with tusk fractures since 2009, identifying best practices for reducing the incidence.Out of 459 elephants included in the survey,

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Model development to assess the impact of a preventive treatment with sarolaner and moxidectin on Dirofilaria immitis infection dynamics in dogs

Abstract Background Dirofilaria immitis is a mosquito-transmitted filarial parasite causing heartworm disease in dogs.The parasite may cause a significant disease burden to the dog population in high prevalence areas and is mainly managed through prophylactic treatments.Methods In this modelling study, the effect of a prophylactic treatment with mo

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RFCNN: Traffic Accident Severity Prediction Based on Decision Level Fusion of Machine and Deep Learning Model

Traffic accidents on highways are a leading cause of death despite the development of traffic Pants safety measures.The burden of casualties and damage caused by road accidents is very high for developing countries.Many factors are associated with traffic accidents, some of which are more significant than others in determining the severity of accid

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