<span>This paper presents an analysis of stress feature using the power ratio of frequency bands including Alpha to Beta and Theta to Beta. In this study, electroencephalography (EEG) acquisition tool was utilized to collect brain signals from 40 subjects and objectively reflected stress features induced by virtual reality (VR) technology. The EEG signals were analyzed using Welch’s fast Fourier transform (FFT) to extract power spectral density (PSD) features which represented the power of a signal distributed over a range of frequencies. Slow wave versus fast wave (SW/FW) of EEG has been studied to discriminate stress from resting baseline. The results showed the Alpha/Beta ratio and Theta/Beta ratio are negatively correlated with stress and indicated that the power ratios can discriminate the data characteristics of brainwaves for stress assessment.</span>

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This paper presents a solution to solve the network reconfiguration, DG coordination (location and size) and capacitor coordination (location and size), simultaneously. The proposed solution will be determined by using Artificial Bee Colony (ABC). Various case studies are presented to see the impact on the test system, in term of power loss reduction and also voltage profiles. The proposed approach is applied to a 33-bus test system and simulate by using MATLAB programming. The simulation results show that combination of DG, capacitor and network reconfiguration gives a positive impact on total power losses minimization as well as voltage profile improvement compared to other case studies.

Colloid chemistry learning at SMAN 1 Mijen Demak had a less useful impact as it has not integrated the process of making with the products needed in everyday life. The lesson also did not equip students with the skills in entering the entrepreneurship world. The observation results indicated that the XI IPA1 grade students in SMAN 1 Mijen Demak had low entrepreneurial interest and motivation. This was due to the tedious and lessmotivated chemistry learning. Therefore, this study aimed to increase the students' entrepreneurial interest and learning motivation on colloid materials through Integrated Cooperative Inquiry Process strategy. A classroom action research applied in this research consisted of three cycles. Each cycle had several stages which were planning, implementation, observation, and reflection. The data on the students' entrepreneurial interest and learning motivation were collected through observation and questionnaire. The descriptive analysis was adopted in this research. The data were analysed using the average mastery and proportion. Based on the analysis of cycles I, II and III, the percentage of the students' entrepreneurship interest increased from 47.64% to 51.17%; 72,16% and 81,10% having 38 students achieved the mastery learning. While the learning motivation increased from 49.55% to 56.08%; 68.21% and 76.32% having 37 students reached the mastery learning. It concluded that the CIPI (Cooperative Integrated Process Inquiry) with CEP (Chemo entrepreneurship) approach could increase the students' entrepreneurial interest and learning motivation.