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Artículos de revistas sobre el tema "Network safety assessments"

Autor: Grafiati

Publicado: 10 de marzo de 2023

Última modificación: 31 de julio de 2025

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1

Budzyński, Marcin, Jacek Szmagliński, Kazimierz Jamroz, Krystian Birr, Sławomir Grulkowski, and Joanna Wachnicka. "Assessing Tram Infrastructure Safety Using the Example of the City of Gdańsk." Journal of KONBiN 49, no. 3 (2019): 293–322. http://dx.doi.org/10.2478/jok-2019-0060.

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Abstract Analysis of Gdańsk tram network statistics shows that incidents are quite frequent (about 650 within five years) and mostly involve collisions and crashes. As well as reducing the tram systems’ efficiency and reliability, incidents have a negative effect on road safety. As Polish cities extend their tram networks, they must also ensure that their existing networks are safe. This is to be achieved by conducting safety assessments. The article presents different assessment methods, at different stages of tram infrastructure lifecycle, providing a basis for a comprehensive diagnosis and

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2

Dimitriu, C. I., and C. R. Bujor. "The integrated methodology for assessing the safety of the road network infrastructure in Romania." IOP Conference Series: Materials Science and Engineering 1311, no. 1 (2024): 012043. http://dx.doi.org/10.1088/1757-899x/1311/1/012043.

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Abstract Romania has the highest road fatality rate in the EU and the lowest perception of road quality. This study presents the implementation of a preliminary procedure and tools provided by the European Commission for the safety assessment of the DN2-E85 road infrastructure, which covers 472.23 km. This road was selected due to the high number of road deaths between 2017 and 2022. The research focuses on the application of both proactive and reactive methodologies as required by Directive (EU) 2019/1936, which requires full road network safety assessments by 2024, with subsequent assessment

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3

Mäkelä, Marjukka, Minna Kaila, and Ken Stein. "Mind sharpeners for scientists: The EQUATOR Network." International Journal of Technology Assessment in Health Care 27, no. 2 (2011): 99–100. http://dx.doi.org/10.1017/s0266462311000158.

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Scientific reports should be orderly, clear, and unambiguous. Clarity is even more important for health technology assessments (HTAs), which aim at supplying reliable and up-to-date evidence on the effectiveness, safety, and cost of healthcare interventions. Increasingly assessments also provide information about the effects of technologies on organization of care, as well as relevant legal, social, and ethical considerations.

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4

Yang, Qiyao, Zheng Zhang, Jun Cai, et al. "Quality of Pedestrian Networks Around Metro Stations: An Assessment Based on Approach Routes." Systems 13, no. 1 (2025): 63. https://doi.org/10.3390/systems13010063.

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Walking is the primary mode of reaching metro stations, yet the quality of pedestrian networks around these stations has not been well researched. Considering the objective physical characteristics of pedestrian networks and the subjective assessments of walkers on the routes, this study developed an evaluation model that integrated the Analytic Hierarchy Process and Entropy Weight Method with human–machine adversarial scoring and cosine similarity to validate the reliability. Nineteen indicators concerning four fundamental criteria, including accessibility, convenience, safety, and comfort, w

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5

Siti Nur Atiqah Halimi, Mohd Azizi Abdul Rahman, Mohd Hatta Mohammed Ariff, et al. "Monocular Distance Estimation-based Approach using Deep Artificial Neural Network." Journal of Advanced Research in Applied Sciences and Engineering Technology 32, no. 1 (2023): 107–19. http://dx.doi.org/10.37934/araset.32.1.107119.

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Those in authority are evaluating the test evaluation for threat assessments currently in place. Since people often depend on their feelings and moods, this may create inequality. Therefore, this study suggested applying deep learning for Autonomous Emergency Steering (AES) and Autonomous Emergency Braking (AEB) assessments in the safety rating protocol. The suggested method for the test in situation-based threat assessments is a monocular distance estimation-based approach. The camera's objective is to make it simple to conduct assessments using only an onboard dash camera. This study propose

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6

Mundy, Linda, Tracy L. Merlin, Adriana Parrella, Wendy J. Babidge, Dianne E. Roberts, and Janet E. Hiller. "The Australia and New Zealand Horizon Scanning Network." Australian Health Review 29, no. 4 (2005): 395. http://dx.doi.org/10.1071/ah050395.

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UP UNTIL 1982, new health technologies, procedures or services were introduced into the health system in an uncontrolled, unregulated manner. This had the potential for wide-ranging impact on the public health care system including ballooning costs, a lack of preparedness by training and accreditation organisations, and consequent patient safety concerns. Health technology assessment was introduced into Australia in 1982 when the National Health Technology Assessment Panel was formed. This original panel has undergone numerous name changes and evolved into the Australian Government-funded Medi

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7

Heijer, C. (Kees) Den, Dirk T. J. A. Knipping, Nathaniel G. Plant, Jaap S. M. Van Thiel de Vries, Fedor Baart, and Pieter H. A. J. M. Van Gelder. "IMPACT ASSESSMENT OF EXTREME STORM EVENTS USING A BAYESIAN NETWORK." Coastal Engineering Proceedings 1, no. 33 (2012): 4. http://dx.doi.org/10.9753/icce.v33.management.4.

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This paper describes an investigation on the usefulness of Bayesian Networks in the safety assessment of dune coasts. A network has been created that predicts the erosion volume based on hydraulic boundary conditions and a number of cross-shore profile indicators. Field measurement data along a large part of the Dutch coast has been used to train the network. Corresponding storm impact on the dunes was calculated with an empirical dune erosion model named duros+. Comparison between the Bayesian Network predictions and the original duros+ results, here considered as observations, results in a s

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8

Budzyński, Marcin, Kazimierz Jamroz, and Wojciech Kustra. "Road safety inspection as a tool for road safety management – the polish experience." Journal of KONBiN 42, no. 1 (2017): 43–62. http://dx.doi.org/10.1515/jok-2017-0017.

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Abstract In Poland, road inspections were implemented in June 2014 on all national roads. Previous traffic surveys mainly looked at the technical condition of roads, signs and markings; other safety issues were overlooked. The main problem of the inspections is that the qualitative assessment is subjective which affects the classification of the sources of hazard on the road. The paper presents an analysis of the variability of the qualitative assessments of road defects when they are assessed by different teams of inspectors. On this basis, guidelines were developed for the classification of

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9

Zhu, Baikang, Xu Yang, Jun Wang, et al. "Third-Party Damage Model of a Natural Gas Pipeline Based on a Bayesian Network." Energies 15, no. 16 (2022): 6067. http://dx.doi.org/10.3390/en15166067.

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Natural gas plays an important role in the transition from fossil fuels to new energy sources. With the expansion of pipeline networks, there are also problems with the safety of pipeline network operations in the process of transportation. Among them, third-party damage is a key factor affecting the safety of pipelines. In this paper, the risk factors of third-party damage are analyzed, and an evaluation model of natural gas pipeline damage is established using the GeNIe Modeler. Through Bayesian network reverse reasoning and a maximum cause chain analysis from the four aspects of personnel,

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10

Smith, Jack M. W., and Chrysothemis Paraskevopoulou. "Uncertainty Quantification to Assess the Generalisability of Automated Masonry Joint Segmentation Methods." Infrastructures 10, no. 4 (2025): 98. https://doi.org/10.3390/infrastructures10040098.

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Masonry-lined tunnels form a vital part of the world’s operational railway networks. However, in many cases their structural condition is deteriorating, so it is vital to undertake regular condition assessments to ensure their safety. In order to reduce costs and improve the repeatability of these assessments, automated deep learning-based tunnel analysis workflows have been proposed. However, for such methods to be applied in practice to a safety-critical situation, it is necessary to validate their conclusions. This study analysed how uncertainty quantification methods can be used to assess

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11

Li, Mengchu, and Jingchun Wang. "Intelligent Recognition of Safety Risk in Metro Engineering Construction Based on BP Neural Network." Mathematical Problems in Engineering 2021 (April 30, 2021): 1–10. http://dx.doi.org/10.1155/2021/5587027.

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With the rapid development of urban economy, the development of urban rail transit is becoming more and more rapid. As an energy-saving, land-saving, and environment-friendly green travel mode, the subway provides realistic and feasible solutions to the increasingly prominent traffic environment and other urban diseases in our country and brings a booming development in the subway construction industry with efforts to promote and build in many large cities. For a large number of subway constructions, it is particularly important to judge the construction safety status in time during the entire

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12

Hu, Jun, Xuecai Xie, Xueming Shu, Shifei Shen, Xiaoyong Ni, and Lei Zhang. "Fire Risk Assessments of Informal Settlements Based on Fire Risk Index and Bayesian Network." International Journal of Environmental Research and Public Health 19, no. 23 (2022): 15689. http://dx.doi.org/10.3390/ijerph192315689.

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The specific risk assessment of informal settlements (IS) is important for the management of IS and protection of environmental safety and public health. In this paper, we introduced the different types of IS in China, and conducted the fire risk assessment on 26 burning buildings in these IS, providing a semi-quantitative and scenario fire risk perception of IS in China for the readers. Two methods, the risk index and the Bayesian network, are proposed and adopted for the fire risk assessment in IS. First, a risk index system with a total of 69 factors is used to assess the degree of fire ris

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13

Seven, Eyyüp, and Mustafa Sinan Yardım. "An Integrated Risk Management Model for Performance Assessment of Airport Pavements: The Case of Istanbul Airport." Applied Sciences 14, no. 24 (2024): 12034. https://doi.org/10.3390/app142412034.

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Effective management of airport pavements is essential for maintaining safety and operational efficiency in air travel. An airport pavement management system (APMS) operates at two levels: the network level, which monitors overall pavement performance across the airport, and the project level, which conducts detailed inspections of individual pavements. However, pavement assessments are often costly and labor intensive, necessitating the development of cost-effective and practical models. This paper introduces the Airport Pavement Integrated Risk Management (APIRM) model, which integrates pave

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14

Obraztsov, R. А., and V. D. Sharov. "On the use of fuzzy neural networks in the framework of a risk-based approach in control and supervisory activities in civil aviation." Civil Aviation High Technologies 26, no. 1 (2023): 58–71. http://dx.doi.org/10.26467/2079-0619-2023-26-1-58-71.

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A risk-oriented approach implemented in conducting control and supervisory activities in Civil Aviation organizations makes it possible to increase the effectiveness of such activities, the objectivity of assessments, to reduce costs and the additionalburden on business. The main provisions, regulating the activities of control and supervision bodies, including the issues of risk assessment, are generally specified in regulatory documents. However, uncertainty remains regarding the use of so-called risk indicators, which are designed to forecast risks for flight safety. Currently, there are no

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15

Chen, Haoran. "A Contrastive Analysis of Classroom-Based Language Assessments." English Language Teaching 13, no. 5 (2020): 110. http://dx.doi.org/10.5539/elt.v13n5p110.

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Classroom-based language assessments mainly include formative assessment and summative assessment, which are the most commonly used evaluation methods. The present study adopts a contrastive method to analyze the two types of assessments. Results of the study show that: 1) the characteristics of formative assessment contain teachers&rsquo; adaptation to classes and immediate feedback provided for teachers, while summative assessment, as a high-risk one, needs a high standard control and safety for dependability and effectiveness; 2) formative assessment is suitable for any places with mult

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16

Nhung, Nguyen Thi Cam, Hoang Bui Nguyen, and Tran Quang Minh. "Reconstructing Health Monitoring Data of Railway Truss Bridges using One-dimensional Convolutional Neural Networks." Engineering, Technology & Applied Science Research 14, no. 4 (2024): 15510–14. http://dx.doi.org/10.48084/etasr.7515.

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Structural Health Monitoring (SHM) system uses sensors to collect information and evaluate the structure, aiming for early damage detection. For many reasons, data from sensors can be corrupted, affecting the assessment results. Reconstructing lost or corrupted data helps complete it, improves structural assessments, and ensures structural safety. Artificial Intelligence (AI) has emerged in recent years as a solution to data problems. This study proposes the use of a One-Dimensional Convolutional Neural Network (1DCNN) to reconstruct lost vibration data during SHM. A complete dataset was used

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17

Bai, Jiujun, and Xuebo Chen. "A Dynamic Security Assessment Method for Ironmaking Plants Based on Cloud-Edge Collaboration in Reconstructed Networks." Sustainability 16, no. 6 (2024): 2399. http://dx.doi.org/10.3390/su16062399.

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Security assessment of ironmaking plants is one of the crucial means to promote their sustainable development. However, the disparate nature of subsystems within these plants, along with network inconsistencies and isolated data, obstruct a thorough and timely security assessment. At the same time, it is impossible to achieve the sustainable development goals of reducing the adverse impact of safety on the environment, ensuring economic benefits and the health of employees. This study addresses the complexities of heterogeneous networks, disparate systems, and segregated data that are prevalen

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18

Ding, Rui, and Zehua Liu. "An IT2FS-ANP- and IT2FS-CM-Based Approach for Conducting Safety Risk Assessments of Nuclear Power Plant Building Projects." Mathematics 12, no. 7 (2024): 1038. http://dx.doi.org/10.3390/math12071038.

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This study proposes an approach for simultaneously treating fuzziness and randomness when conducting safety risk assessments of nuclear power plant building projects (NPPBPs). First, the interval type-2 fuzzy set (IT2FS) and analytic network process (ANP) were employed to establish an IT2FS-ANP method for modifying the solution for the weight vector and determining the mutual relationships between the assessment indexes and their weights. Second, the IT2FS and cloud model (CM) were used to establish the IT2FS-CM method to modify the solution for the expectation value. Third, the IT2FS-ANP and

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19

Oskarbski, Jacek, Lucyna Gumińska, Tomasz Marcinkowski, et al. "Methodology of research on the impact of ITS services on the safety and efficiency of road traffic using transport models." MATEC Web of Conferences 231 (2018): 02008. http://dx.doi.org/10.1051/matecconf/201823102008.

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The current assessment of the impact of Intelligent Transport System (ITS) services on the level of traffic safety and efficiency is based mainly on expert assessments, statistical surveys or several traffic safety models requiring development. There is no structured, uniform assessment method that would give the opportunity to compare the impact of ITS services and their different configurations. The paper presents the methodology for researching the effectiveness of ITS services implementation using transport models and key indicators allowing such an assessment. An approach was used in whic

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20

Pakoksung, Kwanchai, Anawat Suppasri, Panon Latcharote, Abdul Muhari, and Fumihiko Imamura. "Global Tsunami Risk Assessment: Collaboration Between Industry and Academia in the Willis Research Network (WRN)." Journal of Disaster Research 13, no. 7 (2018): 1272–87. http://dx.doi.org/10.20965/jdr.2018.p1272.

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We present outcomes of our collaborative research between tsunami engineering laboratory, Tohoku University and the Willis Research Network (WRN) on global tsunami risk assessment since 2010. First we assessed tsunami hazards in Indian Ocean and west Pacific from major earthquakes based on historical records. After the 2011 Japan tsunami, various kind of fragility functions were developed for human casualty, buildings, marine vessels, etc based on the actual data. Especially, detailed tsunami hazard assessments were performed in many areas using fine bathymetry and topography data all over Jap

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21

Colonias, Athanasios, David S. Parda, Stephen M. Karlovits, et al. "A Radiation Oncology Based Electronic Health Record in an Integrated Radiation Oncology Network." Journal of Radiation Oncology Informatics 3, no. 1 (2017): 3–11. http://dx.doi.org/10.5166/jroi-3-1-16.

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Purpose: The goal of this ongoing project is to develop and integrate a comprehensive electronic health record (EHR) throughout a multi-facility radiation oncology network to facilitate more efficient workflow and improve overall patient care and safety. Methodology: We required that the EHR provide pre-defined record and verify capability for radiation treatment while still providing a robust clinical health record. In 1996, we began to integrate the Local Area Network Treatment Information System (LANTIS®) across the West Penn Allegheny Radiation Oncology Network (currently including 9 sites

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22

Paliotto, Andrea, and Monica Meocci. "Development of a Network-Level Road Safety Assessment Procedure Based on Human Factors Principles." Infrastructures 9, no. 2 (2024): 35. http://dx.doi.org/10.3390/infrastructures9020035.

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Road safety is a central issue in the management and development of a road network. Road agencies must try to identify the most dangerous sections of their network and act on them to improve safety. The most used procedure for this purpose is about considering the indicators based on crashes. However, a mature road safety management system must be able to assess the safety of a road section before accidents occur. The European community is moving in this direction with the update of Directive 2008/96/EC (Directive 1936/2019). This paper proposes a new methodology for carrying out a network-wid

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Kumpalavalee, Suphon, Thanapong Suwanasri, Cattareeya Suwanasri, and Rattanakorn Phadungthin. "Risk Assessment Framework for Power Circuit Breakers Based on Condition, Replacement, and Criticality Indices." Energies 18, no. 13 (2025): 3298. https://doi.org/10.3390/en18133298.

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This paper develops a comprehensive framework for the risk assessment of 115 kV power circuit breakers (PCBs) by evaluating their condition, replacement needs, and criticality to the electrical network. The primary objective is to create a risk assessment tool that enhances maintenance practices and improves operational efficiency. The framework begins with a condition assessment, quantified through the use of a health index, derived from historical diagnostic test results and routine checks. The next step involves a replacement assessment, using a replacement index that considers factors such

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Wang, Shuaibo, Xinyuan Xiang, Jie Zhang, et al. "A Multi-Task Spatiotemporal Graph Neural Network for Transient Stability and State Prediction in Power Systems." Energies 18, no. 6 (2025): 1531. https://doi.org/10.3390/en18061531.

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Transient stability assessments and state prediction are critical tasks for power system security. The increasing integration of renewable energy sources has introduced significant uncertainties into these tasks. While AI has shown great potential, most existing AI-based approaches focus on single tasks, such as either stability assessments or state prediction, limiting their practical applicability. In power system operations, these two tasks are inherently coupled, as system states directly influence stability conditions. To address these challenges, this paper presents a multi-task learning

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25

Pietrucha-Urbanik, Katarzyna, and Barbara Tchórzewska-Cieślak. "Approaches to Failure Risk Analysis of the Water Distribution Network with Regard to the Safety of Consumers." Water 10, no. 11 (2018): 1679. http://dx.doi.org/10.3390/w10111679.

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Contemporary risk assessment makes reference to current world trends, whereby there is increased emphasis on safety. This paper has thus sought mainly to present new approaches to failure risk assessment where the functioning of a water distribution network (WDN) is concerned. The framework for the research involved here has comprised of: (a) an analysis of WDN failure in regard to an urban agglomeration in south-east Poland; (b) failure rate analysis, taking account of the type of a water pipe (mains, distribution, service connections (SC)) and months of the year, with an assessment of result

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26

Laurinavičius, Alfredas, Lina Juknevičiūtė-Žilinskienė, Kornelija Ratkevičiūtė, et al. "POLICY INSTRUMENTS FOR MANAGING ROAD SAFETY ON EU-ROADS." TRANSPORT 27, no. 4 (2012): 397–404. http://dx.doi.org/10.3846/16484142.2012.751934.

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Directive 2008/96/EC on road infrastructure safety management requires the establishment and implementation of procedures relating to road safety impact assessments (RSIA), road safety audits (RSA), ranking of high accident concentration sections and network safety ranking (NSR) and road safety inspections (RSI). The aim of this article is to present the outputs of BALTRIS project. The goal of the international project BALTRIS is to elaborate the road and street infrastructure safety management procedures and teaching material consistently explaining the above mentioned infrastructure manageme

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27

Wang, Qi, Zixin Wang, Hongen Li, et al. "Risk Assessment of Polar Drillship Operations Based on Bayesian Networks." Journal of Marine Science and Engineering 12, no. 10 (2024): 1873. http://dx.doi.org/10.3390/jmse12101873.

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In the extreme polar marine environment, safety risks pose a significant threat to drilling vessels. By conducting a safety risk assessment, potential hazards can be predicted and identified, thereby significantly reducing the frequency of accidents and promoting the sustained stability of economic activities. This paper investigates a Bayesian-network-based risk assessment model for polar drilling operations. Grey relational analysis was employed to identify the main risk factors. The model is trained using 525 valid incident sample data and is combined with expert knowledge. The accuracy rat

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Almolhis, Nawaf Abdualaziz. "A Bayesian-Network Approach for Assessing Security and Process Safety in the Petroleum Industry." Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications 15, no. 4 (2024): 335–47. https://doi.org/10.58346/jowua.2024.i4.022.

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One of the conditions for the petroleum (gas and oil) industry's continued existence in the future may be a continuation of the trend towards fewer personnel at offshore installations and more data flow between the two locations. Malicious attacks, also known as security attacks, often target offshore gas and oil installations. These attacks can trigger a series of events such as the issue as well as spread of harmful materials and/or fires, blasts as well as energy, resulting in harm to people, the environment, and property. These effects might be just as devastating as those from big acciden

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Ji, Yongcheng, Bowen Yao, and Wenyuan Xu. "Research on Deflection Risk Assessment for Steel Box Girder Bridges Based on GA-BP Neural Network." Buildings 14, no. 12 (2024): 3923. https://doi.org/10.3390/buildings14123923.

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Steel box girder bridges constitute a pivotal structural component in modern bridge engineering, confronting intricate mechanical environments and dynamic conditions during construction, with a particularly notable risk of deflection. Risk assessments predominantly rely on traditional mechanical analyses and empirical judgments, which need help to fully capture the dynamic construction changes and latent risks. This study introduces an innovative risk assessment methodology grounded in finite element analysis (FEA) and optimized by a genetic algorithm-enhanced back propagation neural network (

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Li, Jialin, Binbin Li, Zheng Luo, and Weikang Chen. "Prediction of Electric Load Neural Network Prediction Model for Big Data." Transactions on Computer Science and Intelligent Systems Research 7 (November 25, 2024): 509–18. https://doi.org/10.62051/v6qfg144.

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Rock bursts are one of the most common and hazardous disasters encountered in coal mining operations, particularly in China. The occurrence of rock bursts poses significant risks to the safety of miners and the structural integrity of mining operations. Consequently, coal mines are required to conduct extensive and frequent rock burst risk assessments, which contribute to the increasing workload and operational pressures on mine personnel. Addressing this challenge is critical for enhancing the safety and efficiency of mining activities. In response to this issue, this paper proposes a novel a

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Shah, Ronit, Naveen Venkatesh, Arun Balaji, and V. Sugumaran. "Weightless neural network-based fault diagnosis in suspension system." FME Transactions 52, no. 1 (2024): 115–27. http://dx.doi.org/10.5937/fme2401115s.

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Vehicle suspension systems play a critical role in ensuring passenger comfort and safety. Detecting faults in these systems is vital for maintaining safety, performance, and cost-effectiveness. Traditional inspection methods have limitations, such as visual checks, bounce tests, and alignment assessments. This study explores Wilkie, Stonham, and Aleksander Recognition Device (WiSARD), a weightless neural network (WNN), for suspension fault diagnosis. A WNN model is employed to classify suspension system faults using sensor data. The dataset includes both normal and faulty conditions to train t

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Lin, Wen-Kuang, Shwu-Jiuan Lin, Woan-Ruoh Lee, et al. "Effectiveness and Safety of Immunosuppressants and Biological Therapy for Chronic Spontaneous Urticaria: A Network Meta-Analysis." Biomedicines 10, no. 9 (2022): 2152. http://dx.doi.org/10.3390/biomedicines10092152.

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Chronic spontaneous urticaria (CSU) is the most common phenotype of chronic urticaria. We compared treatment effects and safety profiles of the medications in patients with CSU. We searched PubMed, MEDLINE, and Web of Science for randomized control trials (RCTs), from 1 January 2000 to 31 July 2021, which evaluated omalizumab and immunosuppressants. Network meta-analyses (NMAs) were performed with a frequentist approach. Outcome assessments considered the efficacy (Dermatology Life Quality Index (DLQI) and weekly urticaria activity score (UAS7)) and tolerability profiles with evaluations of st

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Alsadik, Bashar, and Hussein Alwan Mahdi. "Enhancing Dam Safety: Statistical Assessment and Kalman Filter for the Geodetic Network of Mosul Dam." Infrastructures 9, no. 9 (2024): 144. http://dx.doi.org/10.3390/infrastructures9090144.

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Dams play a pivotal role in providing essential services such as energy generation, water supply, and flood control. However, their stability is crucial, and continuous monitoring is vital to mitigate potential risks. The Mosul Dam is one of the most interesting infrastructures in Iraq because it was constructed on alternating beds of karstified and gypsum which required continuous grouting due to water seepage. Therefore, the ongoing maintenance issues raised international concerns about its stability. For several years the dam indicated a potential for disastrous failure that could cause mas

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Yang, Xiaohua, Xiaer Xiahou, Kang Li, and Qiming Li. "Assessing Construction Safety Performance in Urban Underground Space Development Projects from a Resilience Enhancement Perspective." Buildings 15, no. 5 (2025): 726. https://doi.org/10.3390/buildings15050726.

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Urban underground space construction frequently encounters issues of inadequate prevention and ineffective resistance to various disturbances, resulting in safety accidents that are difficult to recover from. Resilience pertains to a system’s capacity to absorb, resist, recover, and adapt when faced with disruptions. Enhancing the construction safety resilience of underground spaces can effectively tackle the issue of frequent accidents and the challenge of pre-controlling risks at construction sites. Utilizing systems engineering theory, this paper investigates the factors that affect the con

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Gamal, Yasser A. S., ElHassan Mamdouh, Amr M. Wahaballa, Raafat Elshaer, and Seham Hemdan. "Evaluation of Road Safety Hazard Factors in Egypt Using Fuzzy Analytical Hierarchy Order of Preference by Similarity to Ideal Solution Process." Sustainability 16, no. 22 (2024): 9993. http://dx.doi.org/10.3390/su16229993.

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To address road accident losses, there is a need to prioritize safety factors, especially in high-risk locations on the road network, toward assuring a sustainable transport system. This paper proposes an approach for quantitative risk assessments of safety factors in hazardous road locations and involves the integration of the Fuzzy logic model, the Analytic Hierarchy Process (FAHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). This new innovative method offers a way to prioritize and select safety factors associated with hazardous locations using a hiera

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Zheng, Wanrong, and Fobao Lai. "iDILI-MT: identifying drug-induced liver injury compounds with a multi-head Transformer." PeerJ Computer Science 11 (June 30, 2025): e2973. https://doi.org/10.7717/peerj-cs.2973.

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Drug-induced liver injury (DILI) is a leading cause of late-stage drug attrition and post-approval withdrawals, making early in silico risk assessment essential for drug safety. We present iDILI-MT (identifying drug-induced liver injury compounds with a multi-head Transformer), a self-contained computational framework that integrates a feed-forward network for sequential feature extraction, a multi-head Transformer encoder for contextual representation learning, and a squeeze-and-excitation attention module for channel-wise feature recalibration. Evaluated on a curated set of 1,919 small-molec

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Khamikoev, Azamat, and Edik Margiev. "Research of the impact of roadway track on the street-road network (SRN) of Vladikavkaz." Sustainable Development of Mountain Territories 16, no. 4 (2024): 1821–32. https://doi.org/10.21177/1998-4502-2024-16-4-1821-1832.

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Introduction. The safety of transport processes in mountainous regions is a critical concern, particularly in urban areas such as Vladikavkaz, located in the Republic of North Ossetia-Alania. The unique geographical and climatic conditions of mountainous terrains pose significant challenges to road safety, making it essential to analyze and address these issues effectively. Purpose of the research. The primary aim of this research is to analyze the safety of transport processes in mountainous areas, focusing specifically on the road network of Vladikavkaz. The study seeks to identify the facto

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Jones, T., S. Stalford, A. Cayley, and A. Fowkes. "OS02-12 Contextualising in vitro NAMs on a network of AOPs to improve immunotoxicity safety assessments." Toxicology Letters 399 (September 2024): S62. http://dx.doi.org/10.1016/j.toxlet.2024.07.173.

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Thakur, Shailza, Astha Raghvendra Jha, Dev Ankur Mehta, and Lavanya K. "Flood Detection and Safe Path Finding Using Dense Neural Network (DNN)." International Research Journal of Multidisciplinary Scope 05, no. 03 (2024): 337–48. http://dx.doi.org/10.47857/irjms.2024.v05i03.0721.

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In contemporary flood management, integrating advanced remote sensing and machine learning marks a significant advancement. This research presents a framework leveraging such tech for flood management. It utilizes the SEN-12 flood dataset for satellite imagery analysis, enabling precise flood mapping via pre-processing. By refining the dataset with bandwidth images, targeted flood detection becomes feasible. Convolutional Neural Networks (CNNs) are employed for correlating flood-affected areas with labelled training data, enhancing mapping accuracy due to their success in image recognition tas

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ROBINSON, Claire, Christopher J. PORTIER, Aleksandra ČAVOŠKI, et al. "Achieving a High Level of Protection from Pesticides in Europe: Problems with the Current Risk Assessment Procedure and Solutions." European Journal of Risk Regulation 11, no. 3 (2020): 450–80. http://dx.doi.org/10.1017/err.2020.18.

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The regulation of pesticides in the European Union (EU) relies on a network of hard law (legislation and implementing acts) and soft law (non-legally binding guidance documents and administrative and scientific practices). Both hard and soft laws govern how risk assessments are conducted, but a significant role is left to the latter. Europe’s pesticide regulation is one of the most stringent in the world. Its stated objectives are to ensure an independent, objective and transparent assessment of pesticides and achieve a high level of protection for health and environment. However, a growing bo

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Kolokoltseva, Tatyana N. "ONLINE COMMENTS AS A DIALOGIC NETWORK GENRE." Proceedings of Southern Federal University. Philology 27, no. 3 (2023): 81–96. http://dx.doi.org/10.18522/1995-0640-2023-3-81-96.

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The article is devoted to the relevant problems of modern communicative linguistics and network genre studies. A comparative analysis of dialogic communication in live speech with dialogic communication on the Internet (within the framework of information and commentary blocks) was carried out according to the following criteria: 1) pragmatic coordinates of communication; 2) the type of dialogue according to the nature of the addressee; 3) the main factors influencing the organization of dialogic structures; 4) thematic specificity of the dialogues. Online comments is characterized as a respon

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Zhang, Peng, Xiangsu Chen, and Chaohai Fan. "Research on a Safety Assessment Method for Leakage in a Heavy Oil Gathering Pipeline." Energies 13, no. 6 (2020): 1340. http://dx.doi.org/10.3390/en13061340.

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At present, the number of oil and gas gathering and transportation pipelines is numerous, and leakage accidents occur frequently. Each year, due to pipeline failure, there are immeasurable consequences for people and the environment around the affected pipelines. In order to reduce the risk of leakage accidents in heavy oil gathering pipelines and prevent the occurrence of major spills, it is of great significance to carry out safety assessments of them. However, failure data of these pipelines is seriously deficient and statistical methods used to evaluate pipeline safety are incompatible. Th

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Graef, Frieder, Joerg Roembke, Rosa Binimelis, et al. "A framework for a European network for a systematic environmental impact assessment of genetically modified organisms (GMO)." BioRisk 7 (October 17, 2012): 73–97. https://doi.org/10.3897/biorisk.7.1969.

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The assessment of the impacts of growing genetically modified (GM) crops remains a major political and scientific challenge in Europe. Concerns have been raised by the evidence of adverse and unexpected environmental effects and differing opinions on the outcomes of environmental risk assessments (ERA). The current regulatory system is hampered by insufficiently developed methods for GM crop safety testing and introduction studies. Improvement to the regulatory system needs to address the lack of well designed GM crop monitoring frameworks, professional and financial conflicts of interest with

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Alvarado, Alembert Eistein Lino, Diego Antonio de Oliveira Rosa, Sara Gomes Mello, et al. "Quality assessment of emergency corrective maintenance of critical care ventilators within the context of COVID-19 in Sao Paulo, Brazil." Global Clinical Engineering Journal 4, no. 1 (2021): 27–36. http://dx.doi.org/10.31354/globalce.v4i1.108.

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This technical report presents the quality assessment process for the emergency corrective maintenance of critical care ventilators in a node, IPT-POLI, of a voluntary network that is part of the initiative +Maintenance of Ventilators, led by the National Service of Industrial Training (SENAI) and its Integrated Manufacturing and Technology Center (CIMATEC) to perform maintenance on unused mechanical ventilators in the context of the COVID-19 pandemic in Brazil. A procedure was established for the quality assessment of equipment subjected to corrective emergency maintenance, covering the essen

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Wang, Yong, Yahan Hu, Zhe Wang, Mengchen Liu, and Tao Li. "Optimization planning of distributed photovoltaic integration in distribution networks using combinatorial search algorithm." International Journal of Low-Carbon Technologies 19 (2024): 2626–37. http://dx.doi.org/10.1093/ijlct/ctae219.

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Abstract The current scenario sees the potential emergence of challenges such as power imbalances and energy dissipation upon the incorporation of distributed photovoltaic (PV) systems into distribution networks, impacting power quality and economic viability. To address these identified risks, this study introduces an innovative combinatorial search algorithm designed to autonomously derive optimal planning strategies for distribution networks. The process begins by establishing distinct planning models for distributed PVs and distribution network systems, followed by the application of the s

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Wang, Zhenhua, Tiantian Jiang, and Zhiyong Li. "Risk Assessment of Underground Tunnel Engineering Based on Pythagorean Fuzzy Sets and Bayesian Networks." Buildings 14, no. 9 (2024): 2897. http://dx.doi.org/10.3390/buildings14092897.

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With the acceleration of urbanization, the importance of risk management in underground construction projects has become increasingly prominent. In the process of risk assessment for underground construction projects, the uncertainty of subjective factors from experts poses a significant challenge to the accuracy of assessment outcomes. This paper takes a section of the Nanchang Metro Line 2 as the research object, aiming to address the subjectivity issues in the risk assessment of underground construction projects and to enhance the scientific rigor and accuracy of the assessment. The study i

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Hui, Wen, Chuanjie Wu, Wenbo Zhao, et al. "Efficacy and Safety of Recanalization Therapy for Acute Ischemic Stroke With Large Vessel Occlusion." Stroke 51, no. 7 (2020): 2026–35. http://dx.doi.org/10.1161/strokeaha.119.028624.

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Background and Purpose: The optimal recanalization strategy for acute ischemic stroke with large vessel occlusion continues to be an area of active interest. Network meta-analysis can provide insight when direct comparative evidence is lacking. Methods: A systematic review of the literature using PubMed, Embase, the Cochrane Central Register of Controlled Trials, and SinoMed was performed, and a search was conducted for clinical trials on ClinicalTrials.gov, the World Health Organization International Clinical Trials Registry Platform, and StrokeCenter.org. Four independent reviewers conducted

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Antenucci, Andrea, and Giovanni Sansavini. "Adequacy and security analysis of interdependent electric and gas networks." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 232, no. 2 (2017): 121–39. http://dx.doi.org/10.1177/1748006x17715953.

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In this article, adequacy and security assessments on the coupled operations of the electric and gas networks are performed. Extreme operating conditions and fault of components are considered as events that can impact the interdependent systems. The electric and gas networks are represented by an event-based direct current power flow model and by a transient one-dimensional mass flow model, respectively. Furthermore, the automations and safety strategies enforced by transmission system operators are represented within an original modelling approach. A quantitative analysis is performed with r

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Kuzmanić Skelin, Ana, Lea Vojković, Dani Mohović, and Damir Zec. "Weight of Evidence Approach to Maritime Accident Risk Assessment Based on Bayesian Network Classifier." Transactions on Maritime Science 10, no. 2 (2021): 330–47. http://dx.doi.org/10.7225/toms.v10.n02.w07.

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Probabilistic maritime accident models based on Bayesian Networks are typically built upon the data available in accident records and the data obtained from human experts knowledge on accident. The drawback of such models is that they do not take explicitly into the account the knowledge on non-accidents as would be required in the probabilistic modelling of rare events. Consequently, these models have difficulties with delivering interpretation of influence of risk factors and providing sufficient confidence in the risk assessment scores. In this work, modelling and risk score interpretation,

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Cantisani, Giuseppe, Chiara Caterina Borrelli, Giulia Del Serrone, and Paolo Peluso. "Optimizing Road Safety Inspections on Rural Roads." Infrastructures 8, no. 2 (2023): 30. http://dx.doi.org/10.3390/infrastructures8020030.

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Road safety depends on a complex balance between all the factors that compose the road system: user, vehicle, environment, and infrastructure. Directive 2008/96/EC introduces procedures to improve the European Transport Network (TEN-T) safety, recognizing an important role for safety inspections, but focusing them on freeways and highways. This paper proposed methods and criteria useful to optimize current inspection procedures and adapt them also to secondary and local rural roads. It is often complex to determine the severity and weight of the different risk factors in this context, since de

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