3,971 research outputs found
THE “SAFE SCHOOL” PERCEPTION OF CLASS PRESIDENTS IN SECONDARY SCHOOLS
The aim of this research is to reveal the “safe school” perceptions of secondary class presidents. The sample of the study, which is a qualitative research and figured as “phenomenology design”, is constituted by eight class president students in vocational and technical secondary schools. The data were collected with a semi-structured interview form consisting of three open-ended questions to determine the opinions of the class presidents. The responses of participants to questions in writing were analyzed by descriptive analysis. In the study, the “school safety” perception was examined with the perspective of the class presidents in high schools. Some of the remarkable results of the research can be summarized as follows: The participants reply the question “To what extent is a safe school environment important for you?” such that they generally consider the school’s physical, social and psychological environment as problematic. They indicate the importance of solving the problems of these environments in creating a safe school climate. Participants point out to the parent-school cooperation for the question regarding the duties of the school management, staff and students. Some of the participants emphasized the risks arising from the school environment
A Metaphor Analysis on the “School Security” Perceptions of Elementary School Students
Abstract
The main objective of this research is to determine the perception of elementary school students on school security by means of metaphors. In order to achieve this objective, the participants were asked to write down their metaphor on the “school security”. Raw data obtained by completing sentences such as “I think the school security is like... Because...” were studied according to content analysis and interpreted with descriptive analysis approach. Metaphors created were associated with a particular theme depending on the point of view of the participants and 11 (primary school 6, secondary school 5) conceptual categories were found in total. As a result of this process, the school security categories found for the 4th-grade primary school students are as follows: (1) Observing concept, (2) Safe place, (3) Disciplinary tool, (4) Protective element, (5) Productive concept, and (6) Freedom prohibiter. The school security categories found for the 8th-grade secondary school students are as follows: (1) Protective element, (2) Factor increasing safety, (3) Safe place, (4) Place restricting freedom, and (5) Productive concept. When the distribution of metaphors within each category was analyzed, it was found that the perception on school security is positive while their perception on the safety applications is negative
Magnetic-Visual Sensor Fusion-based Dense 3D Reconstruction and Localization for Endoscopic Capsule Robots
Reliable and real-time 3D reconstruction and localization functionality is a
crucial prerequisite for the navigation of actively controlled capsule
endoscopic robots as an emerging, minimally invasive diagnostic and therapeutic
technology for use in the gastrointestinal (GI) tract. In this study, we
propose a fully dense, non-rigidly deformable, strictly real-time,
intraoperative map fusion approach for actively controlled endoscopic capsule
robot applications which combines magnetic and vision-based localization, with
non-rigid deformations based frame-to-model map fusion. The performance of the
proposed method is demonstrated using four different ex-vivo porcine stomach
models. Across different trajectories of varying speed and complexity, and four
different endoscopic cameras, the root mean square surface reconstruction
errors 1.58 to 2.17 cm.Comment: submitted to IROS 201
THE STATUS CURRENCY OF SPORT IN AFYONKARAHISAR, TURKEY
The purpose of the study is to determine the currency of the sport in Afyonkarahisar with economic, social and cultural movements in recent years. What is the rate of the participation to amateur and professional sports? Is sports facility sufficient? Have the school sports become common? How it looks relation between branch and participation and the level of the success in clubs? The responses of these questions is important to identify what to do for the city people, who ask to catch output in the field of sport in Afyonkarahisar, spend their times with sports activities. It is needed to determine the place of Afyonkarahisar, which had a very significant role in Republic and before the Republic period, in Turkish Sports History and what to do in order to make it a better city. In last 25 years, it's discussed with the people who served as Afyonkarahisar Youth and Sport city manager, Afyonspor's old and new administers the athletes who are successful enough to play in national teams and the physical education teachers who are working in the city and the results have been noted. After the investigation, it is presented suggestions of solution and determinations by establishing the situation of sports in Afyonkarahisar. Article visualizations
An evaluation of the effects of video modelling on the first-night effect in polysomonography examination of patients with obstructive sleep apnea
The aim of this study was to evaluate the effect on patient anxiety and first-night effect (FNE) of a video modelling application, which has an important place in behavioural information practices. A total of 232 adolescent and adult patients with suspected obstructive sleep apnea were randomly separated into groups within two age ranges using the sealed envelope method. Group 1 (14–18 years, n: 40) and group 3 (19–65 years, n: 76) were verbally informed about the polysomnography (PSG) procedure. The patients in group 2 (14–18 years, n: 37) and group 4 (19–65 years, n: 79) were shown a training video of PSG procedure. Anxiety levels of the patients in groups 2 and 4 were seen to have significantly reduced, and when these groups were compared, the decrease was seen to be more significant in the adolescent patients (p ' 0.001, p = 0.001). No significant difference was determined between the values of total sleep time, REM sleep, and sleep efficiency in the video modelling groups on the 2 days (p ' 0.05 for all). There was a difference between the REM latency and sleep latency values on the 2 days, and this was at a low level of significance in the video modelling group. Video modelling was seen to be effective in reducing patient anxiety and it was concluded that it could be used to reduce FNE. © 2020, Japanese Society of Sleep Research
A Non-Rigid Map Fusion-Based RGB-Depth SLAM Method for Endoscopic Capsule Robots
In the gastrointestinal (GI) tract endoscopy field, ingestible wireless
capsule endoscopy is considered as a minimally invasive novel diagnostic
technology to inspect the entire GI tract and to diagnose various diseases and
pathologies. Since the development of this technology, medical device companies
and many groups have made significant progress to turn such passive capsule
endoscopes into robotic active capsule endoscopes to achieve almost all
functions of current active flexible endoscopes. However, the use of robotic
capsule endoscopy still has some challenges. One such challenge is the precise
localization of such active devices in 3D world, which is essential for a
precise three-dimensional (3D) mapping of the inner organ. A reliable 3D map of
the explored inner organ could assist the doctors to make more intuitive and
correct diagnosis. In this paper, we propose to our knowledge for the first
time in literature a visual simultaneous localization and mapping (SLAM) method
specifically developed for endoscopic capsule robots. The proposed RGB-Depth
SLAM method is capable of capturing comprehensive dense globally consistent
surfel-based maps of the inner organs explored by an endoscopic capsule robot
in real time. This is achieved by using dense frame-to-model camera tracking
and windowed surfelbased fusion coupled with frequent model refinement through
non-rigid surface deformations
Unsupervised Odometry and Depth Learning for Endoscopic Capsule Robots
In the last decade, many medical companies and research groups have tried to
convert passive capsule endoscopes as an emerging and minimally invasive
diagnostic technology into actively steerable endoscopic capsule robots which
will provide more intuitive disease detection, targeted drug delivery and
biopsy-like operations in the gastrointestinal(GI) tract. In this study, we
introduce a fully unsupervised, real-time odometry and depth learner for
monocular endoscopic capsule robots. We establish the supervision by warping
view sequences and assigning the re-projection minimization to the loss
function, which we adopt in multi-view pose estimation and single-view depth
estimation network. Detailed quantitative and qualitative analyses of the
proposed framework performed on non-rigidly deformable ex-vivo porcine stomach
datasets proves the effectiveness of the method in terms of motion estimation
and depth recovery.Comment: submitted to IROS 201
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