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Many visual attention models have been presented to obtain the saliency of a scene, i.e., the visually significant parts of a scene. However, some mechanisms are still not taken into account in these models, and the models do not fit the human data accurately. These mechanisms include which visual features are informative enough to be incorporated into the model, how the conspicuity of different features and scales of an image may integrate to obtain the saliency map of the image, and how the structure of an image affects the strategy of our attention system. We integrate such mechanisms in the presented model more efficiently compared to previous models. First, besides low-level features commonly employed in state-of-the-art models, we also apply medium-level features as the combination of orientations and colors based on the visual system behavior. Second, we use a variable number of center-surround difference maps instead of the fixed number used in the other models, suggesting that human visual attention operates differently for diverse images with different structures. Third, we integrate the information of different scales and different features based on their weighted sum, defining the weights according to each component's contribution, and presenting both the local and global saliency of the image. To test the model's performance in fitting human data, we compared it to other models using the CAT2000 dataset and the Area Under Curve (AUC) metric. Our results show that the model has high performance compared to the other models (AUC = 0.79 and sAUC = 0.58) and suggest that the proposed mechanisms can be applied to the existing models to improve them.

The work describes the developed calculation algorithms for the volume of medium-level radioactive wastes (RAW) solidified into the cement and magnesium–potassium phosphate matrices. Estimation algorithms of the class of obtained RAW are presented for use upon selection and optimization of the RAW-conditioning technology. The article presents calculations of volumes of solidified medium-level RAW obtained upon treatment of VVER-1000 spent nuclear fuel (ODTs technology) and BREST-OD-300 spent nuclear fuel (ODEK technology).

Objective: With a quantitative approach, this research analyzes whether the supervised professional practice in the technical course in Agribusiness meets the purpose of work as an educational principle. Theoretical framework: The research problematizes the teaching-learning relationship in the context of supervised professional practice. Methodology: The research was conducted at the Federal Institute of Education, Science and Technology of Rondônia, Campus Colorado do Oeste, in the year 2022, with the application of a questionnaire through the Google Forms platform, and subsequent verification of Cronbach's Alpha coefficient, to test the reliability index. Results and conclusion: The supervised professional practice presents itself as an important tool in contributing to the initial technical education at mid-level; the interdisciplinarity used as a tool in the teaching-learning process provides a clear and objective perception of the disciplinary interrelationships; the way of guiding and supervising the professional practice can influence for a reflective practice, diversifying and developing a significant learning; and the Covid-19 pandemic caused several consequences and damages, directly affecting the education of the students when related to the practices and the attainment of competencies and skills of the area of actuation. Implications of the research: The research contributes from its theoretical and applied review with reflections to evaluate, reassess and plan ways of teaching and learning articulated to the educational principles. Originality/value: The results obtained in this study are unpublished and relevant to the scientific community, contributing to the training of educators and the development of learners, especially in the area of agricultural and environmental sciences.

Based on the connotation and process of innovation-driven development, we have developed a comprehensive evaluation system containing 20 indicators in five aspects, including innovation factors, innovation subjects, innovation environments, innovation outputs, and development performance, to measure the levels of innovation-driven development in Sichuan province. Selecting 21 cities and prefectures in Sichuan province as research objects, we evaluated and measured the innovation-driven development levels of each city and prefecture using the entropy weight method (EWM). According to the evaluation results, the 21 cities and prefectures were divided into four categories depending on their levels of innovation-driven development: advanced-level, high-level, medium-level, and low-level. The results show that there are obvious spatial differences in terms of innovation-driven development levels among cities and prefectures in Sichuan province. Specifically, Chengdu, Mianyang, Panzhihua, and Deyang cities rank among the top four cities because of their advanced and high levels of innovation-driven development, while other cities and prefectures are at the medium and low levels. We also analyzed the innovation-driven development policies and practices of cities and prefectures in Sichuan province, to provide guidance for implementing innovation-driven development strategies in the cities and prefectures in the future.

Considering co-ownership in Nuclear Power Plant Krško, Republic of Croatia has a responsibility towards radioactive waste disposal after its decommission . Besides that, as a member of European Union, Republic of Croatia should follow the rules prescribed by International Atomic Energy Agency (IAEA) and should propose the most appropriate site for disposal of Low and Intermediated radioactive waste (LILW). The results of technical reports and expert opinion regarding proposal of possible sites for radioactive waste disposal has raised certain controversies and public dispute. As a possible contribution to solution of this issue, a multi-criteria decision-making approach (MCDM) was applied in this work, relying on Croatian strategic framework and guidelines for sustainable development. The most appropriate site was found to be Trgovska gora (score of multi-criteria analysis is 0.9400). Furthermore, possible environmental impacts of the project concerning permanent radioactive waste underground repository are discussed, following the guidelines of the Environmental Impact assessment (EIA) scoping and considering the existing environment of the selected site.

The environmental and economic impact of radioactive waste (radwaste) generated from fusion power reactors using five types of structural materials and a fission reactor has been evaluated and compared. Possible radwaste disposal scenario of fusion radwaste in Japan is considered. The exposure doses were evaluated for the skyshine of gamma-ray during the disposal operation, groundwater migration scenario during the institutional control period of 300 years and future site use scenario after the institutional period. The radwaste generated from a typical light water fission reactor was evaluated using the same methodology as for the fusion reactors. It is found that radwaste from the fusion reactors using F82H and SiC /SiC composites without impurities could be disposed by the shallow land disposal presently applied to the low level waste in Japan. The disposal cost of radwaste from five fusion power reactors and a typical light water reactor were roughly evaluated and compared.