• Clinics in Shoulder and Elbow
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• 제24권4호
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• pp.209-214
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• 2021

Background: The treatment for acromioclavicular joint injuries (ACJI) ranges from a conservative approach to extensive surgical reconstruction, and the decision on how to manage these injuries depends on the grade of acromioclavicular (AC) joint separation, resources, and skill availability. After a thorough review of the literature, the researchers adopted a simple cost-effective technique of AC joint reconstruction for acute ACJI requiring surgery. Methods: This was a prospective single-center study conducted between April 2017 and April 2018. For patients with acute ACJI more than Rockwood grade 3, the researchers performed open coracoclavicular ligament reconstruction using synthetic sutures along with an Endobutton and a figure of 8 button plate. This was followed by AC ligament repair augmenting it with temporary percutaneous AC K-wires. Clinical outcomes were evaluated using the Constant Murley shoulder score. Results: Seventeen patients underwent surgery. The immediate postoperative radiograph showed an anatomical reduction of the AC joint dislocation in all patients. During follow-up, one patient developed subluxation but was asymptomatic. The mean follow-up period was 30 months (range, 24-35 months). The mean Constant score at 24 months was 95. No AC joint degeneration was noted in follow-up X-rays. The follow-up X-rays showed significant infra-clavicular calcification in 11 of the 17 patients, which was an evidence of a healed coracoclavicular ligament post-surgery. Conclusions: This study presents a simple cost-effective technique with a short learning curve for anatomic reconstruction of acute ACJI. The preliminary results have been very encouraging.

• Advances in Computational Design
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• 제7권2호
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• pp.139-151
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• 2022

The article is devoted to the actual problem of studying the possibilities of implementing personalization of the user interface in accordance with the personality psychotypes. The psychological aspect of user interface design tools is studied and the correspondence of their application to the manifestations of personality psychotypes is established. The results of the distribu-tion of attention of users of these categories on the course page of the educational platform are presented and the distribution of attention in accordance with the focus on educational material is analyzed. Individual features and personal preferences regarding the used design tools are described, namely the use of accent colors in interface design, the application of the prin-ciples of typographic hierarchy, and so on. In accordance with this, the prospects for implementing personalization of the user interface of the educational platform are described. The results of the study allow us to state the relevance of developing and applying personalization of the user interface of an educational platform to improve learning outcomes in accordance with the psychological impact of individual design tools, and taking into account certain features of user categories. The research is devoted to the study of user attention concentration using heatmaps, in particular based on eyetreking technology, we will investigate the distribution of user attention on the course page of an educational platform Ta redistribution of atten-tion in accordance with certain categories of personality psychotypes. The results of the study can be used to rearrange the LMS Moodle interface according to the user's psychotype to achieve the best concentration on the training material. The obtained data are the basis for developing effective user interfaces for personalizing educational platforms to improve the quality of the education.

• Smart Structures and Systems
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• 제29권1호
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• pp.251-266
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• 2022

Structural Health Monitoring (SHM) of critical infrastructure comprises a major pillar of maintenance management, shielding public safety and economic sustainability. Although SHM is usually associated with data-driven metrics and thresholds, expert judgement is essential, especially in cases where erroneous predictions can bear casualties or substantial economic loss. Considering that visual inspections are time consuming and potentially subjective, artificial-intelligence tools may be leveraged in order to minimize the inspection effort and provide objective outcomes. In this context, timely detection of sensor malfunctioning is crucial in preventing inaccurate assessment and false alarms. The present work introduces a sensor-fault detection and interpretation framework, based on the well-established support-vector machine scheme for anomaly detection, combined with a coalitional game-theory approach. The proposed framework is implemented in two datasets, provided along the 1st International Project Competition for Structural Health Monitoring (IPC-SHM 2020), comprising acceleration and cable-load measurements from two real cable-stayed bridges. The results demonstrate good predictive performance and highlight the potential for seamless adaption of the algorithm to intrinsically different data domains. For the first time, the term "decision trajectories", originating from the field of cognitive sciences, is introduced and applied in the context of SHM. This provides an intuitive and comprehensive illustration of the impact of individual features, along with an elaboration on feature dependencies that drive individual model predictions. Overall, the proposed framework provides an easy-to-train, application-agnostic and interpretable anomaly detector, which can be integrated into the preprocessing part of various SHM and condition-monitoring applications, offering a first screening of the sensor health prior to further analysis.

• 기독교교육논총
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• 제69권
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• pp.105-137
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• 2022

본 논문은 야외광야교육의 특성과 야외광야체험이 고등교육 참여자에게 미치는 영향을 연구하는 것이다. 이를 위하여 첫 번째 부분에서는 야외광야 프로그램을 구성하고 있는 핵심적인 공통 요소를 다룬다. 예를 들어 불균형 상태의 모험 또는 자기 발견, 임시공동체의 책임을 위한 소그룹 역동, 실제 상황에서 효과적인 의사결정을 내리기 위한 문제 해결 프로세스, 고독에서의 통합을 위한 솔로 시간, 지도력 스타일과 트립 지도자의 역할 등이다. 이러한 야외광야 프로그램의 다섯 가지 공통적 요소들은 참가자들이 프로그램의 성격에 따라 각자의 목표를 달성하는 데 도움이 되는 교육적 메커니즘으로 작용하고 있음을 소개한다. 그다음으로 두번째 부분에서는 야외광야교육이 각각의 목적에 따라 세 가지 범주로 활용되고 있음을 소개한다. 예를 들어 신입생 오리엔테이션 프로그램, 개인 리더십 개발 프로그램, 그리고 전문 교육 프로그램이다. 그리고 고등교육에서 활용되고 있는 각각의 프로그램들을 통해 참여자들이 누리고 있는 교육적 효과에 대해 소개한다. 그리고 결론에서 기독교 교육자들이 실제 광야 경험을 활용하여 자신들이 추구하는 사명과 목표에 따라 전인적인 성장을 위한 개발 프로그램으로 구상하는데 필요한 영적 형성 프로그램에 대한 지침을 제안하였다.

• 한국ITS학회 논문지
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• 제21권5호
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• pp.67-77
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• 2022

본 연구에서는 고속도로 버스전용차로 단속시스템을 개발하여 현장 성능평가를 수행하였다. 영동고속도로 마성터널 입구 버스전용차로에서 조사한 결과, 버스전용차로를 위반하는 차량의 비율이 99%에 달하는 것으로 조사되었다. 하지만 현재의 경찰관에 의한 인력식 단속은 단속율도 낮고 불필요한 안전문제 및 지체를 발생시킨다. 고속도로 버스전용차로는 6인 이상 탑승한 9인승 이상 승합차도 통행이 가능하기 때문에 승합차량의 승차인원을 검지하는 기술개발이 필요하다. 조도에 관계없는 승차인원 검지를 위해 적외선 카메라를 사용하였고 짧은 차두시간을 감안한 신속한 영상처리 기법으로 YOLOv5 딥러닝 알고리즘을 사용하였다. 개발시스템 성능 검증을 위해 테스트베드 및 실 현장 평가를 실시한 결과, 테스트베드와 실 현장에서 각각 7%, 8% 오차를 나타내 만족할 만한 성능을 보였다. 본 연구 결과물을 현장에 적용할 경우 고속도로 버스전용차로 운영 효율화 및 단속에 따른 불필요한 지체를 감소시킬 수 있을 것으로 기대된다.

• Geomechanics and Engineering
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• 제30권6호
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• pp.489-502
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• 2022

In this study, a Gaussian process regression (GPR) model as well as six GPR-based metaheuristic optimization models, including GPR-PSO, GPR-GWO, GPR-MVO, GPR-MFO, GPR-SCA, and GPR-SSO, were developed to predict fly-rock distance in the blasting operation of open pit mines. These models included GPR-SCA, GPR-SSO, GPR-MVO, and GPR. In the models that were obtained from the Soungun copper mine in Iran, a total of 300 datasets were used. These datasets included six input parameters and one output parameter (fly-rock). In order to conduct the assessment of the prediction outcomes, many statistical evaluation indices were used. In the end, it was determined that the performance prediction of the ML models to predict the fly-rock from high to low is GPR-PSO, GPR-GWO, GPR-MVO, GPR-MFO, GPR-SCA, GPR-SSO, and GPR with ranking scores of 66, 60, 54, 46, 43, 38, and 30 (for 5-fold method), respectively. These scores correspond in conclusion, the GPR-PSO model generated the most accurate findings, hence it was suggested that this model be used to forecast the fly-rock. In addition, the mutual information test, also known as MIT, was used in order to investigate the influence that each input parameter had on the fly-rock. In the end, it was determined that the stemming (T) parameter was the most effective of all the parameters on the fly-rock.

• 의학교육논단
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• 제25권1호
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• pp.17-34
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• 2023

This study aimed to investigate the current status of faculty development (FD) programs operated by medical colleges and institutions in Korea, and to suggest future-oriented directions for FD. A survey was conducted targeting medical colleges and medical education institutions that operate FD programs. We investigated the reasons for selecting topics, program themes, program operation methods, longitudinal program status, program improvement and quality control methods, the evaluation of the program effects, the outcomes and problems of the programs, and opinions on the latest trends. Twenty-nine out of 40 medical colleges and three out of six institutions responded. Topics were selected based on an analysis of medical education trends and the educational environment in both groups. The most common program themes were assessments in medical colleges, and teaching/learning and curriculum themes in institutions. FD was perceived to induce professors' and administrators' interest in medical education and improve the quality of medical education. The most common program method was workshops. Three medical colleges and one institution had longitudinal programs. Participant surveys constituted the most common method of evaluating programs' effects. Difficulties in publicizing programs and inducing voluntary participation were the most common problems in both groups. New attempts for FD were perceived as the role of external institutions. Based on the results, it is necessary to develop a framework and quality improvement indications for FD programs in the future, and FD programs are expected to be developed through new initiatives, such as longitudinal programs and those focusing on the community of practice.

• 대한한의학회지
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• 제43권3호
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• pp.49-64
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• 2022

Objectives: Peer role-play (PRP) has been used in health care training simulations because standardized patient training requires considerable time and expense. This study described the implementation of clinical simulation using PRP and examined the effect. Methods: Final year students from a single college of Korean medicine engaged in PRP as part of clinical skills practice. Education tools from clinical practice guidelines were used to structure the PRP. Communication competency was assessed with the Korean Version of the Self-Efficacy Questionnaire (KSE-12). Whether this training helped to achieve graduate outcomes was evaluated on a five-point scale. Results: Fifty-nine students (53.2%) participated in the survey. Among 12 items on the KSE-12, the score for "How certain are you that you are able to successfully listen attentively to the patient?" was the highest. Further, PRP was found to be helpful for self-directed learning, establishment of one's professional identity, and the ability to communicate and manage patients. Three themes ("Benefits of role-play", "The importance of positive feedback", "Limitations and problems of role-play"), 15 categories, and 16 central meanings were derived by categorizing learners' subjective opinions about PRP. Conclusions: Study findings indicate that PRP may contribute to improving communication skills and establishing a professional identity for future Korean medicine doctors. We suggest using PRP in clinical education in colleges of Korean Medicine.

• Structural Engineering and Mechanics
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• 제87권3호
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• pp.221-229
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• 2023

Urbanization and industrialization have significantly increased the amount of solid waste produced in recent decades, posing considerable disposal problems and environmental burdens. The practice of waste utilization in concrete has gained popularity among construction practitioners and researchers for the efficient use of resources and the transition to the circular economy in construction. This study employed Lytag aggregate, an environmentally friendly pulverized fuel ash-based lightweight aggregate, as a substitute for natural coarse aggregate. At the same time, fly ash, an industrial by-product, was used as a partial substitute for cement. Concrete mix M20 was experimented with using fly ash and Lytag lightweight aggregate. The percentages of fly ash that make up the replacements were 5%, 10%, 15%, 20%, and 25%. The Compressive Strength (CS), Split Tensile Strength (STS), and deflection were discovered at these percentages after 56 days of testing. The concrete cube, cylinder, and beam specimens were examined in the explorations, as mentioned earlier. The results indicate that a 10% substitution of cement with fly ash and a replacement of coarse aggregate with Lytag lightweight aggregate produced concrete that performed well in terms of mechanical properties and deflection. The cementitious composites have varying characteristics as the environment changes. Therefore, understanding their mechanical properties are crucial for safety reasons. CS, STS, and deflection are the essential property of concrete. Machine learning (ML) approaches have been necessary to predict the CS of concrete. The Artificial Fish Swarm Optimization (AFSO), Particle Swarm Optimization (PSO), and Harmony Search (HS) algorithms were investigated for the prediction of outcomes. This work deftly explains the tremendous AFSO technique, which achieves the precise ideal values of the weights in the model to crown the mathematical modeling technique. This has been proved by the minimum, maximum, and sample median, and the first and third quartiles were used as the basis for a boxplot through the standardized method of showing the dataset. It graphically displays the quantitative value distribution of a field. The correlation matrix and confidence interval were represented graphically using the corrupt method.

• Advances in nano research
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• 제15권5호
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• pp.451-466
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• 2023

Gastrointestinal cancer (GC) is a prevalent malignant tumor of the digestive system that poses a severe health risk to humans. Due to the specific organ structure of the gastrointestinal system, both endoscopic and MRI diagnoses of GIC have limited sensitivity. The primary factors influencing curative efficacy in GIC patients are drug inefficacy and high recurrence rates in surgical and pharmacological therapy. Due to its unique optical features, good biocompatibility, surface effects, and small size effects, nanotechnology is a developing and advanced area of study for the detection and treatment of cancer. Because of its deep location and complex surgery, diagnosing and treating gastrointestinal cancer is very difficult. The early diagnosis and urgent treatment of gastrointestinal illness are enabled by nanotechnology. As diagnostic and therapeutic tools, nanoparticles directly target tumor cells, allowing their detection and removal. XGBoost was used as a classification method known for achieving numerous winning solutions in data analysis competitions, to capture nonlinear relations among many input variables and outcomes using the boosting approach to machine learning. The research sample included 300 GC patients, comprising 190 males (72.2% of the sample) and 110 women (27.8%). Using convolutional neural networks (CNN) and artificial neural networks (ANN)-EXtreme Gradient Boosting (XGBoost), the patients mean± SD age was 50.42 ± 13.06. High-risk behaviors (P = 0.070), age at diagnosis (P = 0.037), distant metastasis (P = 0.004), and tumor stage (P = 0.015) were shown to have a statistically significant link with GC patient survival. AUC was 0.92, sensitivity was 81.5%, specificity was 90.5%, and accuracy was 84.7 when analyzing stomach picture.