СТИМУЛЮВАННЯ ЗА ДОПОМОГОЮ ХАКАТОН-ЕКОСИСТЕМИ ВТОРИННОЇ ЗАЙНЯТОСТІ МОЛОДІ ЯК ФАКТОРА ПРОФЕСІОНАЛІЗАЦІЇ ТА СОЦІАЛЬНОЇ ІНТЕГРАЦІЇ

The article is an attempt to find new tools to boost youth motivation to secondary employment. The study notes that modern multi-vector (multi-dimensional) processes of updating the higher education system in Ukraine challenge the need for reforming higher education. The above verifies that currently, the biggest demand is primarily for competitive graduates who can independently build their own professional career trajectory, who are able to handle a large amount of information, think critically, demonstrate a high level of adaptability to permanently changing social environment and labor market demands, have developed communication skills, are able to learn throughout the life, are ready to expand management functions and are able to predict the results of their activities. The theoretical and methodological framework of this study involves systemic, structural and functional, economic and sociological and the resource-based approaches. A systemic approach was used to gain an overview and build an overall description of the researched phenomenon; structural and functional approach was applied to provide insights into the functional character of secondary employment, and the resource-based approach – to specify the opportunities for students to combine study and work. It is argued that the use of the Hackathon ecosystem enables to identify the possible outcomes of combining work and study for social and personal development of student youth along with getting better awareness of specific functions of youth secondary employment. Within the scope of this research, the following indicators were employed: the motivation behind secondary employment of student youth, performance assessment as realization of students’ expectations from employment, and the evaluation of the current job significance for mastering a future profession. A motivation hierarchy for secondary student employment has been identified where money is viewed as the key motivator whereas occupational incentives are perceived as less important. As it observed, this hierarchy demonstrates a relative stability in recent years against the falling trend for the significance of the early start of professional career for working students. In addition, the study provides a robust argument to substantiate the demarcation between pragmatics- and occupation-based incentives of student secondary employment. The findings have revealed a rather high realization level of financial expectations of many working students (as a manifestation of the key economic function of student youth employment); a certain devaluation of the work experience role for student secondary employment as their competitive advantage in the area of social and labor relations; as well as low effectiveness of the majority of working students for their further professionalization. However, the results of the study have verified critical effects of any work experience upon shaping basic work culture for this youth category. Apart from the above, the paper discusses the relevance of implementing professionalization agenda in the framework of student secondary employment as well as renders practical recommendations for its enhancement. The study results offer a number of implications to develop further theoretical positions and accumulate empirical data to promote quality assurance in vocational education and training institutions.

School's Out: How Summer Youth Employment Programs Impact Academic Outcomes

Recently there has been an emphasis on how time spent outside of the classroom can affect student outcomes, including high school graduation, with the hope of closing academic achievement gaps along socioeconomic and racial lines. This paper provides experimental evidence regarding a particular type of out-of-school activity—early work experience—on high school academic outcomes for low-income inner-city youth. Using randomized admissions lotteries for students who applied to the Boston Summer Youth Employment Program (SYEP), we estimate the effect of being selected to participate on academic outcomes as measured by administrative school records. We find that SYEP lottery winners are 4.4 percentage points more likely to graduate from high school on time and 2.5 percentage points less likely to drop out of high school during the four years after participating in the program relative to the control group. These improvements appear to be driven by better attendance and course performance in the year after being selected for the program, with the program's impact on attendance persisting into the second year. Survey data suggest that the Boston SYEP may affect academic outcomes by increasing aspirations to attend college, gaining basic work habits, and improving social skills during the summer.

Application Status and Research of Instrumentation Device in Solar Thermal Power Generation Industry

The solar thermal power generation system adopts a dual-axis timely tracking instrument device, which realizes that the sunlight and the central axis of the heliostat instrument device are kept parallel, and greatly improves the utilization efficiency of the light source and the power generation efficiency. At the same time, the study of instrumentation selection in the solar thermal power generation industry cannot be ignored, which can guarantee the normal operation and basic work quality of solar thermal power projects. Therefore, based on instrumentation devices in the solar thermal power generation industry, this article explores the drawbacks of instrumentation devices in the application, and puts forward several research ideas for the drawbacks. Finally, by taking the tower-type solar thermal power generation instrument device as an example.

Implementation of ARCS Learning Model to Improve Students Learning Activities and Outcomes in Vocational High School

Current learning is needed to emphasize student activities to be more constructive. However, learning emphasizes more on the target material and focuses on the final result. This study aims to improve student learning activities and outcomes in Automotive Engineering Basic Work subjects by implementing the ARCS learning model. This type of research is classroom action research, each cycle consisting of stages of planning, action, observation, and reflection. The research subjects were 40 students of tenth grade State Vocational High School in Purworejo, Indonesia. Data were collected through observation to determine the description of student activities during the learning process. Then the evaluation test was used to determine the final results of student learning after being given the ARCS learning model in the classroom. The study results indicate that the implementation of ARCS learning in the process provides progress on student learning activities and outcomes during the learning process. The results showed that the implementation of the ARCS model increased student learning activities by 74% and increased learning outcomes by 82%. Thus, it can be concluded that the ARCS learning model, in general, can have a potential effect because students are more constructive in learning so that it can be used as a learning reference in vocational high school.

CF3-Bis-TEMPO-Vis: New Visible Light Active Bis-Benzimidazolequinone Alkoxyamine

Alkoxyamines of TEMPO usually dissociate thermally at >100 °C; however, room temperature homolysis, activated by visible light, occurs with benzimidazolequinone derivatives. 1,1’-Dimethyl-2,2’-bis{[(2,2,6,6-tetramethylpiperidin-1-yl)oxy]methyl}-6-(trifluoromethyl)-1H,1’H-[5,5’-bibenzimidazole]-4,4’,7,7’-tetrone (CF3-Bis-TEMPO-Vis) is prepared in a 59% yield through NBS/H2SO4 oxidative demethylations of the dimethoxybenzimidazole-benzimidazolequinone precursor with aqueous work up. The alternative basic work up in air gave the epoxide derivative of CF3-Bis-TEMPO-Vis. Unlike the latter CF3-epoxide, both alkoxyamine residues are labile under green light (470–600 nm), and the rate of TEMPO release is three times slower than Bis-TEMPO-Vis.

A new method of mineral inversion based on error analysis and static response equation error: a case study of a shale gas reservoir in the wufeng-longmaxi formation

The accurate quantitative calculation of the volume fraction of mineral components is very important and basic work in formation evaluation. Using well log data to estimate the mineralogy, porosity, and total organic carbon (TOC) content is a mainstream method with core measurements often used. However, in shale reservoirs, there are many mineral components, such as organic matter and pyrite. Additionally, the pore structure is complex, and gas exists in the pores as free state, adsorbed state and dissolved state. These factors make the logging response characteristics of shale gas reservoirs more complex and thus the estimation of the mineral components more difficult. To address this problem, this paper proposes a mineral inversion method based on error analysis and response equation error. Based on the error analysis of the mineral inversion method, we first establish a technique to obtain interpretation parameters and the function of the response equation error combined with the core data. Then, based on the weighted total least square method (WTLS), we construct the objective function, and utilize the improved krill herd algorithm (OCKH) to solve the problem. Finally, we estimate the mineral component volume. The calculated results show that the method can accurately determine the clay, quartz + feldspar, carbonate contents, and porosity by using conventional logging data. Compared with the traditional mineral inversion method, the average relative error of the new method is reduced by 11.1%. In summary, the proposed method has high applicability to shale reservoirs and can supply the basic parameters for formation evaluation.

Early Labeled and Small Loss Selection Semi-Supervised Learning Method for Remote Sensing Image Scene Classification

The classification of aerial scenes has been extensively studied as the basic work of remote sensing image processing and interpretation. However, the performance of remote sensing image scene classification based on deep neural networks is limited by the number of labeled samples. In order to alleviate the demand for massive labeled samples, various methods have been proposed to apply semi-supervised learning to train the classifier using labeled and unlabeled samples. However, considering the complex contextual relationship and huge spatial differences, the existing semi-supervised learning methods bring different degrees of incorrectly labeled samples when pseudo-labeling unlabeled data. In particular, when the number of labeled samples is small, it affects the generalization performance of the model. In this article, we propose a novel semi-supervised learning method with early labeled and small loss selection. First, the model learns the characteristics of simple samples in the early stage and uses multiple early models to screen out a small number of unlabeled samples for pseudo-labeling based on this characteristic. Then, the model is trained in a semi-supervised manner by combining labeled samples, pseudo-labeled samples, and unlabeled samples. In the training process of the model, small loss selection is used to further eliminate some of the noisy labeled samples to improve the recognition accuracy of the model. Finally, in order to verify the effectiveness of the proposed method, it is compared with several state-of-the-art semi-supervised classification methods. The results show that when there are only a few labeled samples in remote sensing image scene classification, our method is always better than previous methods.

ONTOLOGY AND PRESENTATION OF CULTURAL HERITAGE MANAGEMENT AND MAINTENANCE: A CASE STUDY OF QIONG-LIN SETTLEMENT IN KINMEN

The management and interpretation of cultural heritage is an important international conservation issue. The construction of long-term sustainable international exchange information will help to present and promote the interpretation of intention for the cultural heritage. The Arches system platform of this study presents the concept of the life cycle of cultural heritage, and establishes the thesauri and metadata in the management and maintenance stage of Taiwan's monuments, which can mapping to the entity of relevant ontology, covering the contents required by previous visits and related needs interviews, while the detailed description part is still filled with the entity of description; the presentation platform is no longer limited to the vertical or horizontal query of the existing national database and can integrate categories, keywords, maps and other ways to present related knowledge, and expand to the system according to a physical thing, actor, activity and other entities, so as to enhance the functionality of user search. We should make long-term planning to establish complete metadata and ontology model of the tangible and intangible life cycle, provide the development direction of the national cultural heritage database and provide the basic work of international data exchange in the future.

Identification and Optimization of Production-Living-Ecological Space in an Ecological Foundation Area in the Upper Reaches of the Yangtze River: A Case Study of Jiangjin District of Chongqing, China

The identification of regional production-living-ecological space (PLES) is the basic work for the optimization of territorial space, which can point to the direction for the protection, utilization and restoration of regional territorial space. Identification and optimization of PLES in an ecological foundation area in the upper reaches of the Yangtze River is of great significance for ensuring national ecological security and promoting sustainable social development. In this study, Jiangjin District, located at the tail of the Three Gorges Reservoir area, was selected as a case study. Moreover, based on the land use data of the study area in 2018, the coordination among production, living and ecological functions are analyzed, and the PLES is identified by using the evaluation method of land production-living-ecological function (PLEF) and the coupling coordination degree model. Then, we formulated an optimized zoning scheme of the PLES according to the principles of ecological priority, area advantage and coordinated development. The results show that (1) The living function and production function presented obvious spatial consistency in the study area, while the spatial distribution of ecological function and production function presented significant spatial complementarity. (2) Four categories of spatial combinations can be identified in the study area. Overall, the study area presented a national spatial pattern with production-living-ecological balanced space (PLEBS) and ecological space (ES) as the main body. (3) The PLES in the study area can be divided into four categories. The ecological function should be determined by the ecological conservation area as the primary responsibility, and the comprehensive improvement zone should further improve the coupling and coordination relationship among the PLEF. Moreover, the main production-living and ecological improvement zone and the main production-ecological and living improvement zone should realize the coordinated development of the PLES on the basis of strengthening the leading function.

Effect of Compactness of Urban Growth on Regional Landscape Ecological Security

With rapid urbanization destroying the ecological environment, scholars have focused on ways to coordinate harmonious development using urban spatial layouts and landscape ecological security. To explore landscape ecological security (the landscape elements, spatial positions and connections that are of key significance to the health and safety of ecological processes) from the perspective of urban form evolution pattern will help to open a new perspective of urban management research, and become the basic work of urban space policy and the implementation of the beautiful China strategy. Based on urban growth and land use data from 356 cities in China, this study applied a geographically weighted regression (GWR) model to quantify the impact of China’s urban growth pattern on landscape ecological security at the spatial level. The research results show that: (1) To some extent, the infilling growth pattern has a certain effect on the enhancement of regional landscape ecological security; (2) In the three control variables (DEM, Population density and GDP), the following conclusions are drawn: regional landscape planning should reasonably allocate landscape resources according to the local topographic features to obtain a higher landscape ecological security; The increase of population density leads to the fragmentation and diversity of the landscape in some regions, which makes the landscape ecological security weak; more economically developed areas have stronger landscape ecological security. This paper highlights the importance of urban growth patterns to landscape ecological security. In addition, considering the different urban evolution trajectories in developed and developing countries, this study proposes targeted development recommendations, providing a reference for urban managers to formulate reasonable development policies and to realize sustainable development with the goal of landscape safety management and control.