High-Grade Serous Ovarian Cancer(HGSC)is the most prevalent and lethal form of gynecologic malignancies[1],accounting for 70%-80%of ovarian cancer *** decades of research,the overall survival rate for HGSC has remaine...
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High-Grade Serous Ovarian Cancer(HGSC)is the most prevalent and lethal form of gynecologic malignancies[1],accounting for 70%-80%of ovarian cancer *** decades of research,the overall survival rate for HGSC has remained largely unchanged[2],and patients with advanced stages of the disease have only a 41%chance of surviving beyond five years[3].
Smart manufacturing, also known as Industry 4.0, is a manufacturing paradigm that aims to realize autonomous processes, minimizing human involvement. In the advent of manufacturing-unfriendly situations (e.g., pandemi...
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Smart manufacturing, also known as Industry 4.0, is a manufacturing paradigm that aims to realize autonomous processes, minimizing human involvement. In the advent of manufacturing-unfriendly situations (e.g., pandemics), it has been learned that the paradigm does not work correctly and has limitations in handling those situations. There is a consensus that humans still play a crucial role in manufacturing, and the ultimate goal of manufacturing is to benefit them. To align with this, the European Commission introduced Industry 5.0, targeting human centricity, sustainability, and resilience. Operator 5.0 has also been presented to improve the physical and cognitive capabilities of shop operators. In contrast, the new concept of human-in-the-loop in smart manufacturing (H-SM), aiming for the involvement of diverse stakeholders, has been recently proposed. In this paper, we introduce the research methodology to elaborate on the current application fields of the H-SM concept. For this, we revisit the existing paradigms and their case studies. Also, we categorize them in terms of different components in H-SM and with respect to different levels of physical and cognitive capabilities and experiences. Then, we identify seven technology clusters and twenty-one key-enabling technologies for the H-SM implementation. It can be concluded the H-SM is well-aligned with human-intervened autonomous manufacturing.
Marine plastic pollution is a growing environmental concern, with plastic debris in the ocean having negative impacts on marine life and human health. One of the major challenges in addressing this problem is the slow...
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Developing a smart grid is a trend nowadays and an indispensable basic necessity of life. In recent years, the electricity demand has risen rapidly due to economic development and quality of life improvement. The powe...
This study combines multi-regional inputoutput(MRIO)model with linear programming(LP)model to explore economic structure adjustment strategies for the reduction of carbon dioxide(CO_(2))emissions.A particular feature ...
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This study combines multi-regional inputoutput(MRIO)model with linear programming(LP)model to explore economic structure adjustment strategies for the reduction of carbon dioxide(CO_(2))emissions.A particular feature of this study is the identification of the optimal regulation sequence of final products in various regions to reduce CO_(2)emissions with the minimum loss in gross domestic product(GDP).By using China's MRIO tables 2017 with 28 regions and 42 economic sectors,results show that reduction in final demand leads to simultaneous reductions in GDP and CO_(2)***,certain demand side regulation strategy can be adopted to lower CO_(2)emissions at the smallest loss of economic *** key final products,such as metallurgy,nonmetal,metal,and chemical products,should first be regulated to reduce CO_(2)emissions at the minimum loss in *** of these key products concentrate in the coastal developed regions in *** proposed MRIO-LP model considers the inter-relationship among various sectors and regions,and can aid policy makers in designing effective policy for industrial structure adjustment at the regional level to achieve the national environmental and economic targets.
Grapheme-to-phoneme (G2P) conversion serves as an essential component in Chinese Mandarin text-to-speech (TTS) system, where polyphone disambiguation is the core issue. In this paper, we propose an end-to-end framewor...
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This work uses machine learning to verify whether the Brazilian climate influences international soybean price prediction. For this, climatic data, dollar quotes, inflation, and annual soybean production were collecte...
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Multi-Agent Path Finding (MAPF) is an important problem with a variety of applications. Its aim is to find collision-free paths for agents having separate start and goal positions. This work proposes a new lexicograph...
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This work uses machine learning to verify whether the Brazilian climate influences international soybean price prediction. For this, climatic data, dollar quotes, inflation, and annual soybean production were collecte...
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The paper is about the study of building a Reliability program for the Leonardo AW139 Fleet of a start-up company that is based in the Middle East. The start-up helicopter company started its operations in 2018 with a...
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ISBN:
(纸本)9781450397582
The paper is about the study of building a Reliability program for the Leonardo AW139 Fleet of a start-up company that is based in the Middle East. The start-up helicopter company started its operations in 2018 with an initial fleet of 2 AW139 and grew to 10 helicopters in 2021 and is expected to have a total of 30 to 40 AW139 in the next 5 years. All helicopters purchased were brand new except for the first two helicopters that were leased from another company, hence, the initial maintenance did not require a reliability program. However, in the last 3 years, the fleet slowly accumulated system, component and/or structural defects and findings that prompted the Continuous Airworthiness department to build a reliability program in anticipation and preparation to revise and update the maintenance program, as applicable, for the upcoming aircraft. A historical data from 2020 to 2022 was collected and computed for the standard deviation multiplied by 3 for the aircraft system, component per ATA chapter and structural defect's upper control limit or alert level. This will be determined and analyzed per 1000 flying hours to provide a reliability report, mitigation and corrective action to improve the maintenance reliability of the fleet. Moreover, the study will research for other monitoring and/or data collection apart from the current practice to be able to obtain more data and have a better projection in the reliability report that will also cover the on-time-performance of the aircraft. Fish-bone diagram and FMEA will be used to determine the root cause and provide potential solutions based on the trend monitoring of the defect rate. Apart from the study, the other objective of the paper is to present it to the management of the start-up helicopter company and be able to utilize this as basis or foundation of the actual Reliability program of the company.
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