Cerebrovascular disease (CVD) refers to a condition wherein the normal functioning of the brain is impaired, resulting in either temporary or permanent damage. The causes of CVD include both hemorrhagic and ischemic events. A cerebrovascular accident (CVA) refers to a condition that occurs acutely. A CVA typically involves a sudden blockage of blood supply to the brain or the rupture of blood vessels, causing damage to brain tissue. This results in impairment of crucial brain functions and can manifest in various neurological signs. This study investigated characteristics of the signalment, clinical symptoms, lesion locations, and prevalence of CVA diagnosed using a 3.0T MRI in dogs. The breeds included 5 Maltese and one each of Poodle, Pomeranian, Chihuahua, Shih-tzu, and Yorkshire terrier. There was one neutered male, five intact males, two spayed females, and two intact females. The median age and weight were 7.5 years and 3.39 kg, respectively. Clinical signs included gait abnormality in five dogs, and four dogs exhibited seizures. Additionally, there were cases of head tilt or turn (n=3) and nystagmus (n=1). The most frequently affected region was the cerebrum (n=7), followed by the cerebellum (n=3), brainstem (n=2), and thalamus (n=1). Three cases exhibited multiple lesions among these regions. In this study using a 3.0T MRI scanner, the prevalence rate was 4.39%, which was higher than that reported in previous studies.

In this study, AHP analysis was conducted through a survey that was organized by 9 job categories. The results show that sustainable operation risks have the highest priority level among all criteria with management interest having the highest priority level within sustainable operation risks related attributes. The most important risk attributes among stakeholder risks appeared to be asset security and cargo and conveyance security, with education and training being the most important among regulatory risks. Effective management and response to the risks from export controls on strategic trade require an understanding of supply chain security and compliance programs, effective training programs, investments for development of security systems that meet international standards. In addition, the government needs to focus on developing professionals and providing support for companies with compliance programs, working closely with businesses.

A predictive controller can solve a control problem related to a disturbance-dominant system such as roll stabilization of a ship in waves. In this paper, a predictive controller is developed for a fin stabilizer. Future wave-induced moment is modeled simply using two typical regular wave components for which six parameters are identified by the recursive Fourier transform and the least squares method using the past time series of the roll motion. After predicting the future wave-induced moment, optimal control theory is applied to discover the most effective command fin angle that will stabilize the roll motion. In the results, wave prediction performance is investigated, and the effectiveness of the predictive controller is compared to a conventional PD controller.