Bjerre Shields (ferryquart3)

Traditionally, the main process for olive fruit fly population monitoring is trap measurements. Although the above procedure is time-consuming, it gives important information about when there is an outbreak of the population and how the insect is spatially distributed in the olive grove. Most studies in the literature are based on the combination of trap and environmental data measurements. Strictly speaking, the dynamics of olive fruit fly population is a complex system affected by a variety of factors. However, the collection of environmental data is costly, and sensor data often require additional processing and cleaning. In order to study the volatility of correlation in trap counts and how it is connected with population outbreaks, a stochastic algorithm, based on a stochastic differential model, is experimentally applied. The results allow us to predict early population outbreaks allowing for more efficient and targeted spraying.Background Cognitive assessment is an essential element of the screening process of Alzheimer's disease. The prevalence of dementia is increasing and so are the numbers of immigrants and elderly population relocating and in need for health diagnosis and treatment. However, most of the psychometric tools used in psychological assessments are time-consuming and suffer from biases of language and cultural restrictions. Objectives Our objective was to create a computerized version of a multicultural cognitive screening test, which would simplify cognitive assessment of elderly multicultural population, as routine part of health check-up procedures. Methods The application was implemented in Android Studio and was written in Java code with the use of a home PC and a tablet. Rowland Universal Dementia Assessment Scale (RUDAS) was chosen. RUDAS is a cognitive screening tool with good psychological characteristics, which was created for multicultural and bilingual populations and was free to download. The collaboration with an authorized psychologist was essential for the ethics of the psychometric science. Results The complete computerized version of RUDAS will include the six-item questionnaire, assessing specific cognitive domains which are in high correlation with Alzheimer's screening process, such as registration, visuospatial orientation, praxis, visuo-constructional drawing, judgment, memory recall and language. Conclusion The utilization of informatics in making cognitive assessment a user-friendly, validated, not time- or cost-consuming procedure would add value to psychometric tools which still are administered with "pen and paper", when this proceeds with respect to the ethics of the science.Electroencephalography (EEG) systems and brain-computer interfaces (BCIs) are terms frequently involved in the field of neurological research. Under a technological point of view, BCI is considered to be a significant achievement within the frame of learning disabilities rehabilitation. Nevertheless, the specifications for efficient use for cognitive enhancement and its potential boundaries are under concern. Author's main objective is to discuss BCI concrete components and potential advances as well as depict potential limitations while using technological devices within the frame of the learning procedure. Within this context, requirements, advantages, possible addiction risks, and boundaries regarding the specifications for brain-computer interfaces and technology in order to serve long-term research and developmental learning goals are discussed.In the last decades, the classification of images was established as a typical method for diagnosing many abnormalities and diseases. The purpose of an efficient classification method is considered essential in modern diagnostic medicine in order to increase the number of diagnosed patients and decrease the analysis time. The significant storage capabilities of electronic media have enabled research centers to accumulate repositories of classified (labeled)