陆地卫星MSS影象目视解译在土地资源调查中局限性的讨论

简述陆地卫星多光谱扫描(MSS)影象的特点,着重介绍陆地卫星多光谱扫描影象适用于中、小比例尺的土地资源凋查     

Mapping innovation dynamics in hospitals

This article draws on a notion of the hospital as a complex service provider and healthcare system hub in order to examine the question of innovation in hospitals. It puts forward a relatively simple framework for analysing hospital output, in which the medical function is incorporated into a complex system of other constituent services that make use of different types of technologies. This analytical framework is used to reveal the multiple sources of innovation and the main organising principles driving innovation within hospitals.     

Estimation of 2-D ARMA model parameters by using equivalent AR approach

In this paper, the problem of estimating the parameters of a two-dimensional autoregressive moving-average (2-D ARMA) model driven by an unobservable input noise is addressed. In order to solve this problem, the relation between the parameters of a 2-D ARMA model and their 2-D equivalent autoregressive (EAR) model parameters is investigated. Based on this relation, a new algorithm is proposed for determining the 2-D ARMA model parameters from the coefficients of the 2-D EAR model. This algorithm is a three-step approach. In the first step, the parameters of the 2-D EAR model that is approximately equivalent to the 2-D ARMA model are estimated by applying 2-D modified Yule-Walker (MYW) equation to the process under consideration. Then, the moving-average parameters of the 2-D ARMA model are obtained solving the linear equation set constituted by using the EAR coefficients acquired in the first step. Finally, the autoregressive parameters of the 2-D ARMA model are found by exploiting the values obtained in first and second steps. The performance of the proposed algorithm is compared with other 2-D ARMA parameter and spectral estimation algorithms available in the technical literature by means of three different criteria. As a result of this comparison, it is shown that the parameters and the corresponding power spectrums estimated by using the proposed algorithm are converged to the original parameters and the original power spectrums, respectively.     

Evaluation of the level of problem solving skills of Turkish higher education graduates in technology-rich environments

Educational technology research and development - This study aims to evaluate the level of Turkish higher education graduates’ problem-solving skills (PSSs) in technology-rich environments...     

Research trends in educational technology journals between 2000 and 2018: a web scraping study

Education and Information Technologies - Previous screening studies conducted in leading educational technology journals have primarily been content analyses or systematic reviews; however, this...     

The Use of Interactive Computer Animations Based on POE as a Presentation Tool in Primary Science Teaching

This study investigates the effects of using interactive computer animations based on predict–observe–explain (POE) as a presentation tool on primary school students’ understanding of the static electricity concepts. A quasi-experimental pre-test/post-test control group design was utilized in this study. The experiment group consisted of 30 students, and the control group of 27 students. The control group received normal instruction in which the teacher provided instruction by means of lecture, discussion and homework. Whereas in the experiment group, dynamic and interactive animations based on POE were used as a presentation tool. Data collection tools used in the study were static electricity concept test and open-ended questions. The static electricity concept test was used as pre-test before the implementation, as post-test at the end of the implementation and as delay test approximately 6 weeks after the implementation. Open-ended questions were used at the end of the implementation and approximately 6 weeks after the implementation. Results indicated that the interactive animations used as presentation tools were more effective on the students’ understanding of static electricity concepts compared to normal instruction.     

Incidence and risk for traumatic and overuse injuries in top-level road cyclists

All traumatic and overuse injuries occurring during an average period of 4 years (2002/09) in a group of 51 currently active road top-level cyclists were retrospectively registered through clinical interviews. Average age was 25.8 years. Average training and competition period was 28.3 ± 2.4 h a week. Only 8 cyclists (15.6%) were completely free from lesions during the period of study. The remaining 43 cyclists suffered a total of 112 lesions; however, 9 out of these were unrelated to their cycling practice. These 103 cycling-related injuries include 50 (48.5%) traumatic and 53 (51.5%) overuse injuries. Twenty-eight fractures were reported, the clavicle being the most frequently affected bone (11 cases). The 68.5% of overuse injuries were located in the lower limbs. Most overuse injuries (89.6%) occurred during the training period. According to the injury abbreviated scale (AIS), severe lesions were only found in 4 cases (8% of traumatic injuries). Overall injury rates were 0.50 per racer/year, 2.02 per studied racer, and 0.007 per 1000 km of training and competition. Active professional top-level cyclists are exposed to a high injury risk. According to the scarce previously published data the current study provides relevant information on the injury occurrence of still active top-level road cycling.     

The Effect of Computer-Assisted Learning Integrated with Metacognitive Prompts on Students’ Affective Skills

The purpose of this study is to investigate the effect of computer-assisted learning integrated with metacognitive prompts on elementary students’ affective skills on the subject of electricity. The researchers developed educational software to enable students to easily and comprehensively learn the concepts in the subject of electricity. A case study method was used. Eighteen students from the seventh grade (12–13 years) participated in the study. Students’ views on their performances while using educational software and the impact of the software on their affective skills towards the subject of electricity were examined. Data were collected by open-ended questions in the educational software. According to the research results, there were students who had negative attitudes and perceptions before starting to learn about the subject of electricity. Interactive activities, animations, and visual experiments in the educational software were effective in overcoming the students’ negative attitudes and perceptions about the subject. Besides, students who assessed their own performances during the learning process believed themselves to be more successful over time. In the light of the research results, some suggestions are made for future studies.