• Journal of Korean Neurosurgical Society
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• v.66 no.6
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• pp.632-641
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• 2023

Central nervous system tumors are identified as tumors of the brain and spinal cord. The associated morbidity and mortality of cerebrospinal tumors are disproportionately high compared to other malignancies. While minimally invasive techniques have initiated a revolution in neurosurgery, artificial intelligence (AI) is expediting it. Our study aims to analyze AI's role in the neurosurgical management of cerebrospinal tumors. We conducted a scoping review using the Arksey and O'Malley framework. Upon screening, data extraction and analysis were focused on exploring all potential implications of AI, classification of these implications in the management of cerebrospinal tumors. AI has enhanced the precision of diagnosis of these tumors, enables surgeons to excise the tumor margins completely, thereby reducing the risk of recurrence, and helps to make a more accurate prediction of the patient's prognosis than the conventional methods. AI also offers real-time training to neurosurgeons using virtual and 3D simulation, thereby increasing their confidence and skills during procedures. In addition, robotics is integrated into neurosurgery and identified to increase patient outcomes by making surgery less invasive. AI, including machine learning, is rigorously considered for its applications in the neurosurgical management of cerebrospinal tumors. This field requires further research focused on areas clinically essential in improving the outcome that is also economically feasible for clinical use. The authors suggest that data analysts and neurosurgeons collaborate to explore the full potential of AI.

• Imaging Science in Dentistry
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• v.53 no.4
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• pp.271-281
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• 2023

Purpose: The objective of this scoping review was to investigate the applicability and performance of various convolutional neural network (CNN) models in tooth numbering on panoramic radiographs, achieved through classification, detection, and segmentation tasks. Materials and Methods: An online search was performed of the PubMed, Science Direct, and Scopus databases. Based on the selection process, 12 studies were included in this review. Results: Eleven studies utilized a CNN model for detection tasks, 5 for classification tasks, and 3 for segmentation tasks in the context of tooth numbering on panoramic radiographs. Most of these studies revealed high performance of various CNN models in automating tooth numbering. However, several studies also highlighted limitations of CNNs, such as the presence of false positives and false negatives in identifying decayed teeth, teeth with crown prosthetics, teeth adjacent to edentulous areas, dental implants, root remnants, wisdom teeth, and root canal-treated teeth. These limitations can be overcome by ensuring both the quality and quantity of datasets, as well as optimizing the CNN architecture. Conclusion: CNNs have demonstrated high performance in automated tooth numbering on panoramic radiographs. Future development of CNN-based models for this purpose should also consider different stages of dentition, such as the primary and mixed dentition stages, as well as the presence of various tooth conditions. Ultimately, an optimized CNN architecture can serve as the foundation for an automated tooth numbering system and for further artificial intelligence research on panoramic radiographs for a variety of purposes.

• Journal of Industrial Convergence
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• v.22 no.5
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• pp.137-153
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• 2024

This study synthesized the literature to identify parental psychosocial impact and related factors on newborn bloodspot screening (NBS) process. A scoping review, using the framework proposed by Arksey and O'Malley (2005), was conducted. A literature search was performed of electronic databases (PubMed, CINAHL, RISS, KISS, DBpia) from 2000 to 2023. In total 749 published articles were identified, and 32 articles were included for the final analysis. Almost studies were descriptive studies using survey or interviews and only one intervention study to reduce negative psychosocial impacts was identified. Parents were experiencing negative psychosocial impacts, particularly related to how positive results were initially communicated and had difficulties accessing timely and reliable information. Findings identified that knowledge, quality and satisfaction of education and communication, information sources and providers as related factors of parental psychosocial impacts. Prenatal and postpartum repeated education, providing timely and reliable information, effective communication between health care providers and parents were key to mitigate negative psychosocial impacts. Nurses can play important roles to improve quality on NBS.

• Journal of Home Health Care Nursing
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• v.31 no.1
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• pp.16-29
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• 2024

Purpose: This scoping review aimed to synthesize the characteristics and effects of interventions designed to prevent unintentional home injuries in older adults in Korea. Methods: The review was conducted following the Joanna Briggs Institute protocol. A literature search was performed for studies published between 2001 and 2022 in the DBPia, RISS, KMBase, and NDSL databases. A total of 1,620 studies were identified, and 27 studies were included in the final analysis. Data were analyzed for characteristics of the literature, intervention-related unintentional injury mechanisms, and safety areas. Results: Most selected studies utilized a quasi-experimental design and targeted elderly women. In terms of injury mechanisms, 21 of 27 studies focused on falls, 2 on fire/disaster, 3 on drugs, and 1 on food. The most common preventive intervention for falls was exercise, and its effectiveness was verified using physical safety variables. Interventions in the fire/disaster, drug, and food domains were all educational, and changes in knowledge, behavior, and attitude were verified. Conclusion: This study confirmed the effectiveness of interventions for preventing unintentional injuries in the homes of community-dwelling older adults. These findings can serve as a foundation for developing and implementing unintentional injury prevention interventions at home for community-dwelling older adults. Multidisciplinary research is needed to address multifaceted safety issues by considering the home environment and injury risk factors.

• Journal of Korean Medicine Rehabilitation
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• v.34 no.1
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• pp.11-22
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• 2024

Objectives This study aims to comprehensively review research utilizing ultrasonography for assessing manipulative treatment on spinal diseases, with the goal of promoting the wider integration of ultrasound imaging into clinical practice. Methods A systematic search was conducted on three international databases (Embase, PubMed, Cochrane) up to July 23, 2023. The search included key terms such as ultrasonography, manipulation, and skeletal muscle. The inclusion criteria narrowed down the selection to studies specifically related to lumbar and cervical vertebrae. Results Eleven studies were included in the review, with 10 focusing on lumbar vertebrae and one on cervical vertebrae, all employing spinal manipulation treatment. Among the 11 selected studies, nine primarily focused on ultrasound imaging to measure muscle thickness, while two utilized shear wave elastography to assess muscle stiffness. Also, rigorous measures were taken to ensure the reliability of the ultrasonography data. Conclusions This scoping review highlights the limited but growing evidence supporting the use of ultrasonography to assess manipulative treatment for spinal diseases. Despite a scarcity of studies in South Korea, it is crucial to recognize the potential of ultrasonography in becoming a widely used and practical tool for evaluating the effectiveness of manipulative treatments in the near future.

• Journal of Environmental Impact Assessment
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• v.3 no.2
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• pp.69-75
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• 1994

Environmental Impact Assessment is composed of screening, scoping, inventory survey, prediction, assessment, alternative assessment, mitigation measure, and post management. Environmental monitoring data is applied to EIA process such as prediction and post management. It must he collected and managed systematically for effective applying in EIA process. This article explains factors such as air quality, water quality, soil, ocean, odor, noise & vibration, ecosystem, etc. and organizations of environmental monitoring managed by Ministry of Environment.

• Journal of Environmental Impact Assessment
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• v.4 no.1
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• pp.59-64
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• 1995

Environmental Impact Assesment(EIA) is composed of various procedures, such as screening, scoping, inventory survey, prediction, assessment, mitigation measure, alternative assessment, and post management. Remote sensing introduced lately begins to be applied ecosystem and land use in inventory survey and assessment of EIA. This study explains on land use classification, buffering analysis of residential area, and overlaying analysis of odor predictive data with residential area for application to EIA with remote sensing data. Residential area extracted from land use classification of remote sensing provides effectively buffering analysis of residential area in selection of landfill site with GIS. It could assess also residential effect to an offensive odor by overlaying analysis. Application methods in EIA should be enlarged to assess effectively.

• Journal of Environmental Impact Assessment
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• v.4 no.3
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• pp.31-39
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• 1995

Environmental Impact Assessment (EIA) is composed of various procedures, such as screening, scoping, inventory survey, prediction, assessment, alternative assessment, mitigation measures, and post management. Environmental monitoring data for air quality or water quality, etc. is applied in the EIA process, especially in prediction and post management. As an effective tool of environmental monitoring, the remote sensing method, introduced recently, was used in collecting nationwide data concerning ecosystem and land use. This article explains the current monitoring status in Korea. Monitoring factors include air quality, water quality, soil, ocean, odor, noise, and ecosystems. This report explains the organization of the environmental monitoring system managed by the Ministry of Environment in Korea. Furthermore, it shows the environmental criteria and environmental policies applied to EIA in Korea.

• Journal of Environmental Impact Assessment
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• v.17 no.5
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• pp.299-309
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• 2008

Cumulative effects can be defined as impacts on environment which results from incremental impacts of a proposed project, which covers other past, present, and reasonably foreseeable future actions. The necessity of Cumulative Effect Assessment is that, when there are several projects near the project area, environmental effects of individual project can be larger or smaller than those of individual project without having projects nearby because of synergy, ascending and descending effects. This study was intended to help Environmental Impact Assessment practitioners identify spatial and temporal boundaries during the scoping stage. To do this, literature review of domestic and foreign legislations, guidelines, textbooks and papers related to Environmental Impact Assessment and Cumulative Effect Assessment was accomplished. This study suggests that continuous research be needed in order to identify spatial boundaries for other assessment fields and to develop methodologies for cumulative effect assessment.

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2004.06a
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• pp.24-31
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• 2004

In order to decommission safely nuclear power plant, it is necessary for the procedure of residual radioactivity investigation in site to provide detailed guidance for planning, implementing, and evaluating environmental and facility radiological surveys conducted to demonstrate compliance with a dose or risk-based regulation. This study presents the procedure of residual radioactivity investigation in decommissioning site - Historical Site Assessment, Scoping Survey, characterization Survey, Remedial Action Support Survey, Final Status Survey - on the basis of MARSSIM(Multi-Agency Radiation Survey and Site Investigation Manual) and investigation cases of decommissioned or decommissioning nuclear power plant.