Abstract The use of multi-objective approaches to solve problems in industry grew in the last years. Nevertheless, these strategies are still unused in many fields where their performance is suboptimal or when they are too complex to be implemented or even are simply unknown. One example is in the poultry industry with its particularly complex chain. In this paper, we will... The use of multi-objective approaches to solve problems in industry grew in the last years. Nevertheless, these strategies are still unused in many fields where their performance is suboptimal or when they are too complex to be implemented or even are simply unknown. One example is in the poultry industry with its particularly complex chain. In this paper, we will discuss a hybrid multi-objective approach with low computational resource usage intended for this scenario as well as other similar ones. Read More Read Less

Abstract The rapid change in technology and internet has made a huge impact in education field. It has developed learning to the next point where anyone can learn anything from anyone else at any time. E-learning systems have become an important part of delivering the modern university curriculum. There are many shapes or forms of e-learning; one common form that everyone has known... The rapid change in technology and internet has made a huge impact in education field. It has developed learning to the next point where anyone can learn anything from anyone else at any time. E-learning systems have become an important part of delivering the modern university curriculum. There are many shapes or forms of e-learning; one common form that everyone has known is a video-learning. Video is an effective medium to deliver knowledge or information to others because video-learning is able to present the information or knowledge in a consistent and attractive kind of way. However, not all video-learning succeed to deliver the information to students given the lack of knowledge educators have of which kind of video that brings students’ interest more. This study focuses on how a video-learning can increase students’ performance and what criteria of video should be applied in video-learning to acquire high students’ engagement and to increase students’ retention of the material. In this study, content visualization rubrics for e-learning video was created and tested. It’s proven to increase students’ performance by 61%. Read More Read Less

Abstract Non-invasive brain stimulation is being used for manipulation of cortical oscillations in research and clinical context for development of possible therapeutic applications in brain disorders. Effects of brain stimulation show strong inter- and intra-individual variation. In general there are several sources of this variability, e.g. neuroanatomical and neurochemical factors. This article describes our work in the scope of EkoSMART consortium... Non-invasive brain stimulation is being used for manipulation of cortical oscillations in research and clinical context for development of possible therapeutic applications in brain disorders. Effects of brain stimulation show strong inter- and intra-individual variation. In general there are several sources of this variability, e.g. neuroanatomical and neurochemical factors. This article describes our work in the scope of EkoSMART consortium on development of peripheral sensing techniques. Here we focus on the rapidly varying neurophysiological factors – cortical oscillations. Current state of cortical oscillations can be continually recorded with peripheral sensors like EEG scalp electrodes and used online for continuous monitoring and adjustments of brain stimulation parameters. By adjusting the timing, intensity and frequency of transcranial stimulation to specific brain states it is possible to reduce variation in the treatment effects. However, since brain state-dependent stimulation (BSDS) requires online monitoring and analysis of neurophysiological data, it is technically demanding. BSDS has been made possible by recent technological advances and advances in analytical procedures. While EEG data has been traditionally analyzed in time- or frequency-domain only, time frequency analysis is being increasingly used and it offers better insight into neurophysiology of oscillations. BSDS is useful in the field of clinical neuroscience, where it can be used to personalize stimulation parameters, e.g. adjust deep brain stimulation depending on the severity in symptoms in Parkinson’s disease. Because it enables manipulation of cortical oscillations when a specific brain state is detected, it allows stronger causal inferences about their role in behavior and brain states. Therefore, BSDS can be also used as a tool for verification or falsification of hypotheses in cognitive neuroscience. Read More Read Less