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REPEAT ANALYSIS program AS A QUALITY ASSURANCE SYSTEM FOR RADIOLOGY MANAGEMENT: CAUSAL REPEAT AND AN OVERVIEW

Journal of Medical Imaging and Radiation Sciences 2023年第3期54卷 S31-S31页

作者： Rochmayanti, Dwi Adi, Kusworo Widodo, Catur Edi Doctoral Program of Information System School of Postgraduate Diponegoro University Department of Radiodiagnostic and Radiotherapy Engineering Health Polytechnic Ministry of Health Semarang Central Java Department of Physics Faculty of Science and Mathematics Diponegoro University

OBJECTIVEThis paper aims to describe the image retakes program over several decades, and identify the causes of issues due to rejection rates. MATERIALS & METHODSThis study is a literature review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method. Articles were searched from Google Scholar (3140) and Scopus (18) using keywords " Reject" or " Repeat" or " Retakes" and " Analysis" and " in" and " Diagnostic" and " Imaging". The article range was expanded to describe the profile of repeat analysis from the use of film-screen to digital transformation systems. Based on the established criteria, 20 articles were extracted and analyzed. RESULTSFrom the literature, it was found that repeat rates above 5% were still found in some examination categories, with chest radiography contributing the highest rejection rate, reaching 51.67%, with the biggest contributing factor being positioning (84.8%). There are interesting findings related to this program, where subjective factors in determining the classification of rejection causes still exist. One study mentioned that AI can predict image rejection accuracy with a sensitivity of 93%. Therefore, the use of AI can be very helpful in classifying rejection causes, making data available for more efficient and easier radiology management. CONCLUSIONRepeat program is part of image quality management. The justification for rejection decisions still poses a challenge related to personnel's subjective factors and determining the causes of rejection/repeat must also be done to obtain concrete data related to radiography performance.

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Shear wave velocity analysis for site classification of Tadulako university using microtremor measurements

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AIP Conference Proceedings 2023年第1期2719卷

作者： Icha Untari Meidji Nurhayati Pimpilemba Hendrik Leopatty Mauludin Kurniawan Mustafa Ahmad Harsano Jayadi Physics Department Universitas Negeri Gorontalo Gorontalo Indonesia Agency for Meteorology Climatology and Geophysics (BMKG) Class 1 Palu Indonesia Geophysical Engineering Department University of Tadulako Palu Indonesia Geological Engineering Study Program University of Tadulako Palu Indonesia Doctoral Program of Physics Department ITS Surabaya Indonesia

Shear wave velocity (Vs30) is one of the local condition parameters often used to determine buildings’ vulnerability to potential damage if an earthquake occurs. This parameter is essential for planning and evaluation in infrastructure development. Tadulako university, which is repairing the building and the layout of the campus area after the September 28, 2018 earthquake, needs to consider the parameters of the shear wave. Measurements of the Vs30 value have been carried out at 20 points spread across Tadulako university using the microtremor method. The value of Vs30 is then estimated to determine the classification of the surface soil. The results obtained indicate that the variation in value is not too significant; it is between 424 m/s – 530 m/s. This value is included in the C class site and has very dense soil and soft rock soil profile classification. The highest value is in the southwest part, and the lowest value is in the northeast part.

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Addressing the UN SDGs in sustainability reports: An analysis of Latin American oil and gas companies

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Environmental Challenges 2022年 7卷

作者： Borges, Fabíola M.M.G. Rampasso, Izabela Simon Quelhas, Osvaldo L.G. Leal Filho, Walter Anholon, Rosley School of Mechanical Engineering University of Campinas Mendeleyev Street 200. Campinas Campinas Brazil Departamento de Ingeniería Industrial Universidad Católica del Norte Antofagasta Chile Master Program in Management Systems and Doctoral Program in Sustainable Management Systems Federal Fluminense University Passo da Pátria Street 156 Rio de Janeiro Niterói Brazil Faculty of Life Sciences Hamburg University of Applied Sciences Hamburg Germany

This article aims to establish an overview of the sustainable practices developed by the major oil and gas enterprises in Latin America and analyse how these practices are related to the Sustainable Development Goals (SDGs) 7, 9, 11 and 12. The methodological strategy used was the content analysis of the sustainability reports published by companies in the sector. Considering the ten oil and gas companies with the highest revenue in Latin America, 7 of them published sustainability reports in 2020 (base 2019), and these reports were analysed via content analysis technique. The findings showed that 244 sustainable practices were reported in sustainability reports by these seven companies. These practices were summarised by twenty different keywords (the practice can be represented by more than one keyword) and related with the targets of SDGs 7, 9, 11 and 12. It was found that few practices were related with the following targets: (a) greater access of small-sized companies, especially from developing countries, to financial services (target 9.3), (b) encouragement of companies to use sustainable practices and add sustainability information in their reporting cycle (target 12.6) and (c) the rationalisation of inefficient fossil-fuel subsidies (target 12.c). However, one company stands out amongst its competitors, having practices that, on average, were related with a higher number of targets of SDGs 7, 9, 11 and 12. This research has an exploratory character. The information reported here is of great value in guiding CSR actions of companies in the oil and gas sector and future research in the area to discuss how such companies can contribute to targets 9.3, 12.6, and 12.c. © 2022

关键词： Oil and gas industry SDGs Sustainability Sustainability reports

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A Survey on the Impact of Data Analytics and Machine Learning Techniques in E-commerce

A Survey on the Impact of Data Analytics and Machine Learnin...

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International Conference on Contemporary Computing and Informatics (IC3I)

作者： S Dheva Rajan Sivajee Vavilapalli Shahriar Hasan Ritesh Kumar Nafisa Rafa Iskandar Muda Information Technology University of Technology and Applied Sciences Almusannah Sultanate of Oman Department of Management Studies Vignan’s Institute of information technology (A) Duvvada Visakhapatnam Department of Finance University of Dhaka Bangladesh Maharishi School of Engineering and Technology Lucknow Uttar Pradesh India BBA in Marketing Institute of Business Administration University of Dhaka Dhaka Bangladesh Department of Doctoral Program Faculty Economic and Business Universitas Sumatera Utara Medan Indonesia

Current article has been developed for understanding the impact of data analytics and machine learning technique in e-commerce. If the observation has been developed for the current market of this technology it can be detected that real-life industry increases their investment which showed the interest in getting advantages. Identification of the problem of costing and different algorithm suitability objectives has been set for understanding the real impact of e-commerce. Secondary data collection has been used for understanding the different usability of machine learning and data analytics for e-commerce. It has been detected that using machine learning brings the benefits of automation and improves continuous growth. Data analytics provide the scope of accuracy build-up. Apart from this different area of application and the different techniques has been analyzed. Understanding become easier and the scope of future benefits can be identified.

关键词： Industries Data analysis Machine learning algorithms Decision making Machine learning Electronic commerce Object recognition

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In vitro biocompatibility of polycaprolactone/hydroxyapatite nanocomposite membranes modified by oleic acid for bone regeneration

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Colloids and Surfaces A: Physicochemical and engineering Aspects 2024年 688卷

作者： Lin, Ruei-Hong Hung, Huey-Shan Tang, Cheng-Ming Tsou, Hsi-Kai Chen, Po-Hsiang Yueh, Chun-Yu Wang, Hui-Min David Functional Neurosurgery Division Neurological Institute Taichung Veterans General Hospital Taichung40293 Taiwan Doctoral Program in Tissue Engineering and Regenerative Medicine National Chung Hsing University Taichung40227 Taiwan Translational Medicine Research China Medical University Hospital Taichung404327 Taiwan Graduate Institute of Biomedical Science China Medical University Taichung404333 Taiwan Institute of Oral Sciences Chung Shan Medical University Taichung40201 Taiwan Department of Dentistry Chung Shan Medical University Hospital Taichung40201 Taiwan Functional Neurosurgery Division Neurological Institute Taichung Veterans General Hospital Taichung40293 Taiwan Department of Rehabilitation Jen-Teh Junior College of Medicine Nursing and Management Miaoli County35664 Taiwan College of Health National Taichung University of Science and Technology Taichung403027 Taiwan School of Medicine China Medical University Taichung404333 Taiwan Graduate Institute of Medicine College of Medicine Kaohsiung Medical University Kaohsiung80708 Taiwan Graduate Institute of Biomedical Engineering National Chung Hsing University Taichung40227 Taiwan Department of Medical Laboratory Science and Biotechnology China Medical University Taichung40402 Taiwan

The bone defect is common in the orthopedic clinic, possibly due to trauma, tumor, or congenital diseases. Also, some patients with alveolar bone defects in the dental clinic result from the different proliferation speeds between soft and hard tissue. Biomaterials made of polymers and bioceramics have been developed to deal with these problems but mixing them directly can result in a low-mechanical strength complex. To solve this, we used oleic acid (C18) as a surfactant to improve the dispersity of hydroxyapatite (HA) in the polycaprolactone (PCL) matrix, and then immerse the material in a simulated biomineralization process. The results showed that the low crystallinity PCL formed an evenly distributed mineralized layer that had phosphate ions signal and a hydroxyapatite peak. The biocompatibility of the material was assessed using MC3T3 cells, and found that the PCL-HA membrane and PCL-C18-HA membranes had significant cell filopodia and lamellipodia. Additionally, the polycaprolactone/oleic acid/hydroxyapatite (PCL-C18-HA) membrane had the highest cell viability among all groups. The addition of C18 also decreased the platelets activation degree but had a significant difference in the reactive oxygen species (ROS) amount compared to the control, which requires further investigation. Overall, this study successfully fabricated a safe and promising polycaprolactone/hydroxyapatite/oleic acid nanocomposite membrane as a potential solution for bone biomaterials. © 2024 Elsevier B.V.

关键词： Hydroxyapatite

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A Light Weight Multi-Head SSD Model For ADAS Applications

A Light Weight Multi-Head SSD Model For ADAS Applications

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Pervasive Artificial Intelligence (ICPAI), International Conference on

作者： Chun-Yu Lai Bo-Xun Wu Tsung-Han Lee Vinay Malligere Shivanna Jiun-In Guo National Chiao Tung University Hsinchu Taiwan College Doctoral Program of Electrical and Computer Engineering National Chiao Tung University Hsinchu Taiwan

ISBN: (数字)9781665404839

ISBN: (纸本)9781665404846

Moving objects detection is considered as one of the prime safety indicators in the Advanced Driver Assistance System (ADAS). For implementing on resource-limited embedded platforms and still yield sufficient frame rate and quality, the paper proposes a lightweight multi-head single shot detector (SSD) model that strengthens the moving object detection significantly. The paper also introduces focal loss method to deal with imbalance problem of detecting pedestrians and bikes in training datasets (vehicles, bikes, and pedestrians). Lastly, the proposed lightweight network can be deployed on low-power embedded devices to achieve real-time processing performance (512x256) yielding 30fps.

关键词： Conferences Artificial intelligence

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Examining associations with on-time performance and identifying relevant road network, demographic, socioeconomic and land use characteristics within the bus stop vicinity for proactive and reliable public transportation system planning

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Multimodal Transportation 2023年第4期2卷

作者： Mishra, Raunak Pulugurtha, Srinivas S. Mathew, Sonu Former Graduate Student of Infrastructure and Environmental Systems Ph.D. Program The University of North Carolina at Charlotte 9201 University City Boulevard Charlotte 28223-0001 NC United States Professor & Research Director of Civil & Environmental Engineering Department Director of Infrastructure Design Environment and Sustainability (IDEAS) Center The University of North Carolina at Charlotte 9201 University City Boulevard Charlotte 28223-0001 NC United States Post-Doctoral Researcher of IDEAS Center The University of North Carolina at Charlotte 9201 University City Boulevard Charlotte 28223-0001 NC United States

Growing population, rapid urbanization, and increasing travel demand emphasize the need for reliable public transportation systems and sustainable transportation planning. A reliable bus service fosters a more significant, satisfied, and committed base of users. This research focuses on examining the association between on-time performance (OTP) and road network, demographic, socioeconomic, and land use characteristics to identify relevant external factors for proactive and reliable public transportation system planning. The analysis was conducted at a bus stop level. Bus arrival/departure data from the Charlotte Area Transit System (CATS) was obtained. The road network, demographic, socioeconomic, and land use characteristics were captured within 0.25-mile and 0.50-mile buffers. Pearson correlation analysis was conducted to understand the association between OTP and road network, demographic, socioeconomic, and land use characteristics by day of the week and time of the day. The results show that OTP is associated with external factors such as the number of signalized or cul-de-sac/dead-end intersections, number of lanes, network density, population, income (median and total), and land use types related to residential and commercial/employment purposes within the bus stop vicinity. The findings provide vital insights for transit agencies to enhance scheduling, service and maximize benefits, effectively utilize available resources, plan, and provide equitable services to all riders. © 2023 The Author(s)

关键词： Bus stop Demographic Land use On-time performance Pearson correlation Road network Socioeconomic Transit

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Characteristic of beef tallow/rice husk charcoal/plaster composite phase change materials

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AIP Conference Proceedings 2023年第1期2568卷

作者： I. Made Astika I. Nyoman Suprapta Winaya I. Ketut Gede Wirawan Akhmad Herman Yuwono I. Dewa Gede Ary Subagia 1Doctoral Study Program of Engineering Science Faculty of Engineering Udayana University Kampus Sudirman Denpasar Bali 80234 Indonesia. 2Study Program of Mechanical Engineering Faculty of Engineering Udayana University Kampus Bukit Jimbaran Badung Bali 80361 Indonesia 3Department of Metallurgy and Materials Engineering Faculty of Engineering Universitas Indonesia Kampus Baru UI Depok Depok 16424 Indonesia

Composite materials are a combination of several materials to form a new material with specific properties. Chemical compatibility of the constituent materials is a factor that affects the characteristics of composite materials. Currently, composite phase change materials (PCM) are commonly applied as thermal energy storage systems. This study investigated the characteristics of beef tallow/rice husk charcoal/plaster PCM composite. The weight fraction of rice husk charcoal used was 10%. To prevent leakage of beef tallow from the composite structure, the researcher used polyvinyl acetate (PVAc) to cover the tallow/RHC composite before mixing it with plaster material. As much as 30% of the tallow/RHC/PVAc composite weight fraction is integrated into the plaster. PCM composite was made by using a direct incorporation method. The FTIR test results on the PCM composites produced showed good chemical compatibility among different components. The scanning electron microscope results showed the formation of microcapsules where the rice husk charcoal and polyvinyl acetate functions as a wrapper/capsule for beef tallow. This composite is suitable for application in building walls as thermal energy storage.

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A new method of terrain self-adaptive matching algorithm for autonomous underwater vehicle 4

A new method of terrain self-adaptive matching algorithm for...

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2019 4th International Conference on Intelligent Computing and Signal Processing, ICSP 2019

作者： Lu, Xiong Jian, Shen Xiaowen, Bi Department of Radar System Ordnance NCO Academy of Army Engineering University Wuhan430075 China Post-doctoral Program on Control Science and Engineering Naval University of Engineering Wuhan430033 China

As different underwater terrain features will affect the accuracy of unscented Kalman filter terrain matching algorithm, a new terrain self-adaptive matching method is proposed which adjusts sigma point distribution by terrain features. The connection between sigma point distribution distance and three basic terrain features were analysed. Positioning error range were calculated using navigation positioning errors and underwater digital map. Terrain elevation standard deviation was used to characterize the information quantity of decision region. Scaling parameter was adjusted using linear mapping method and sigma point distribution distance was determined by terrain features. The simulation results proved better terrain adaptability and positioning precision of improved self-adaptive matching algorithm. © 2019 IOP Publishing Ltd. All rights reserved.

关键词： Autonomous underwater vehicles

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Autoencoders as Weight Initialization of Deep Classification Networks for Cancer versus Cancer Studies

arXiv

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arXiv 2020年

作者： Ferreira, Mafalda Falcão Camacho, Rui Teixeira, Luís F. Doctoral Program in Informatics Engineering Faculty of Engineering University of Porto INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal Department of Informatics Engineering Faculty of Engineering University of Porto Porto - Portugal

Cancer is still one of the most devastating diseases of our time. One way of automatically classifying tumor samples is by analyzing its derived molecular information (i.e., its genes expression signatures). In this work, we aim to distinguish three different types of cancer: thyroid, skin, and stomach. For that, we compare the performance of a Denoising Autoencoder (DAE) used as weight initialization of a deep neural network. Although we address a different domain problem in this work, we have adopted the same methodology of Ferreira et al.. In our experiments, we assess two different approaches when training the classification model: (a) fixing the weights, after pre-training the DAE, and (b) allowing fine-tuning of the entire classification network. Additionally, we apply two different strategies for embedding the DAE into the classification network: (1) by only importing the encoding layers, and (2) by inserting the complete autoencoder. Our best result was the combination of unsupervised feature learning through a DAE, followed by its full import into the classification network, and subsequent fine-tuning through supervised training, achieving an F1 score of 98.04% ± 1.09 when identifying cancerous thyroid samples. Copyright © 2020, The Authors. All rights reserved.

关键词： Classification (of information)

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