Technical Measures Research Articles

Value of Automatically Derived Full Thrombus Characteristics: An Explorative Study of Their Associations with Outcomes in Ischemic Stroke Patients.

(1) Background: For acute ischemic strokes caused by large vessel occlusion, manually assessed thrombus volume and perviousness have been associated with treatment outcomes. However, the manual assessment of these characteristics is time-consuming and subject to inter-observer bias. Alternatively, a recently introduced fully automated deep learning-based algorithm can be used to consistently estimate full thrombus characteristics. Here, we exploratively assess the value of these novel biomarkers in terms of their association with stroke outcomes. (2) Methods: We studied two applications of automated full thrombus characterization as follows: one in a randomized trial, MR CLEAN-NO IV (n = 314), and another in a Dutch nationwide registry, MR CLEAN Registry (n = 1839). We used an automatic pipeline to determine the thrombus volume, perviousness, density, and heterogeneity. We assessed their relationship with the functional outcome defined as the modified Rankin Scale (mRS) at 90 days and two technical success measures as follows: successful final reperfusion, which is defined as an eTICI score of 2b-3, and successful first-pass reperfusion (FPS). (3) Results: Higher perviousness was significantly related to a better mRS in both MR CLEAN-NO IV and the MR CLEAN Registry. A lower thrombus volume and lower heterogeneity were only significantly related to better mRS scores in the MR CLEAN Registry. Only lower thrombus heterogeneity was significantly related to technical success; it was significantly related to a higher chance of FPS in the MR CLEAN-NO IV trial (OR = 0.55, 95% CI: 0.31-0.98) and successful reperfusion in the MR CLEAN Registry (OR = 0.88, 95% CI: 0.78-0.99). (4) Conclusions: Thrombus characteristics derived from automatic entire thrombus segmentations are significantly related to stroke outcomes.

Heterogeneous impact of non-tariff measures on import margins through global value chains: Firm-level evidence from China

Technical measures, such as sanitary and phytosanitary measures and technical barriers to trade were prevalent in the past decades and have induced an increasing number of trade disputes among countries. This paper investigates the impact of technical measures on Chinese firms’ import margins and trade unit values by focusing on how these impacts vary across firms with different positioning in the global value chains (GVCs). The analysis relies on panel data of Chinese firm-level imports over 2008–2013 and an original dataset on non-tariff measures provided by the United Nations Conference on Trade and Development (UNCTAD). The results show that the impact of technical measures differs across importer positioning in the GVC. While importers with a small downstreamness are negatively impacted by both intensive and extensive margins, technical measures benefit the firms located further downstream in the global input market at the expense of new entrants. Further, I find evidence that products subjected to more technical measures are imported at a higher price, while firms with larger downstreamness are able to mitigate a rise in prices.

A Literature Review of Seaport Decarbonisation: Solution Measures and Roadmap to Net Zero

This paper provides a comprehensive review of the literature related to seaport decarbonisation by combining the academic literature with case studies, industrial reports, newsletters, and domain knowledge. Through the literature review, the emission sources at seaports are categorised according to different criteria for better understanding. One of the criteria is the geographic location, which divides the emission sources into four categories. For each emission source category, the emission reduction measures in the literature are categorised into six structured categories including operational measures, technical measures, fuel and energy measures, infrastructural measures, digitalisation measures, and policy and collaboration measures. The first three categories have a direct impact on emission reductions, whereas the last three categories tend to support and facilitate the development and implementation of the first three categories. Representative case studies are selected from the UK ports to discuss their decarbonisation practices and pathways to net zero. We then propose a generic time-phased roadmap for port decarbonisation towards net zero, which divides the solution measures in each category into three phases to show their progressive processes. We explain the dependence relationships of the solution measures in the roadmap and discuss the challenges and opportunities in the implementation of the roadmap. This paper could offer strategic guidelines to port-associated stakeholders to implement emission reduction strategies and transition to net zero from the system perspective.

МЕТОДИКА БАЛЛЬНО-ФАКТОРНОЙ ОЦЕНКИ ЧАСТОТЫ ИНИЦИИРУЮЩИХ ПОЖАРООПАСНЫЕ СИТУАЦИИ СОБЫТИЙ ДЛЯ ПОДЗЕМНЫХ ЕМКОСТЕЙ АВТОМОБИЛЬНОЙ ГАЗОЗАПРАВОЧНОЙ СТАНЦИИ

The purpose of the article is to develop a system for scoring the contributions of various technical and organizational measures to the magnitude of the risk of an accident based on existing approaches to the fire risk assessment at hazardous production facilities. To achieve the goal of the study and the formation of a score in cooperation with the organization operating the storage tanks of substances under pressure, a number of influencing factors were obtained. The following methods were applied in the work: analysis of hierarchies, comparison, analogy, study of documents and results of activities. The result of the work is the developed scoring system with groups of factors influencing the probability of an emergency and the resulting weight coefficients of the groups and the factors themselves. A method for point-factor estimation of the frequency of events initiating fire hazardous situations for underground liquefied petroleum gas tanks operated at gas filling stations is proposed. The results obtained can be used in assessing the fire risk for facilities where accidents can occur associated with the formation of an explosive and fire hazardous situation.

Hypoxaemia and risk of asphyxia during underground work in artisanal cobalt mines.

More than half the cobalt needed for vehicle electrification originates from the southern part of the Democratic Republic of the Congo (DRC), with a substantial part being extracted by artisanal miners. To investigate oxygen saturation during underground work among cobalt artisanal miners. In a field survey, we measured oxygen saturation (SpO2) and heart rate by pulse oximetry in 86 miners from two underground mines and 24 miners from a surface mine at four different time points: before descent into the mine (T1), at 50 minutes in the mine (T2), upon leaving the shaft (T3), and 10 minutes after having left the mine (T4). Miners working underground (-36 to -112 meters) were somewhat older (34.8 ± 6.7 years) than those working in the surface mine (32.0 ± 6.5 years), and they worked more hours daily (12.6 ± 1.2 hours) than controls (9.0 ± 0.0 hours). All participants had SpO2 >95% at T1 and T4. At T2, SpO2 dropped below 93% and 80% in 35% and 10% underground miners, respectively; SpO2 was still <93% at T3 in 13%. SpO2 remained stable among surface miners. Later, we showed that underground ambient oxygen levels decreased well below 21% in several pits. Pulse oximetry revealed relevant hypoxaemia during underground work in a substantial proportion of artisanal miners. Such hypoxaemia without evidence of underlying cardiovascular disease is indicative of low ambient oxygen, due to insufficient mine ventilation. This may cause deaths from asphyxia. The hazards of low ambient oxygen in artisanal mines must be prevented by appropriate technical measures ensuring the supply of sufficient fresh air.

Application of Random Forest Algorithm in Network Intrusion Detection of Government Affairs Departments

This paper reviews the current situation of intrusion detection and the commonly used random forest (RF) method, and confirms that support vector machine (SVM) and artificial neural network (ANN) are good methods, which are important components of building state network information security. Very complex and critical system technology. Appropriate security strategy must be based on the real needs of the government, guided by design principles, and establish a comprehensive and dynamic security system with technical management measures to truly protect government information security and maximize government efficiency. In this environment, we get the following conclusions: (1) In the performance test of different RF algorithms, the accuracy of the traditional RF algorithm is 83.4%, the security is 79.3%, and the correlation is 84.9%. In the data, we conclude that the high-dimensional clustering RF algorithm is the best in the performance test of different RF algorithms. (2) The security awareness and cognition of users also account for 6%, which shows that the security awareness of many users in government departments is not perfect, and the main reason for network intrusion in government departments is the intrusion of intruders and malicious code.

Toxic Effects of Bt-(Cry1Ab+Vip3Aa) Maize on Storage Pest Paralipsa gularis (Zeller).

Paralipsa gularis (Zeller) is a storage pest; however, in recent years it has evolved into a considerable maize pest during the late growth stage in the border region between China and other Southeast Asian countries. Bt transgenic insect-resistant maize is an effective measure in controlling a wide range of lepidopteran pests, but there is a lack of research on the toxic effects of storage pests. We tested the toxicity of Bt-Cry1Ab, Vip3Aa, and their complex proteins against P. gularis via bioassay and investigated the efficiency of Bt-(Cry1Ab+Vip3Aa) maize in controlling P. gularis during the late growth stage of maize in the period 2022-2023. The bioassay results show that the susceptibilities of P. gularis to the two Bt proteins and their complex proteins were significantly different. The LC50 values of DBNCry1Ab ("DBN9936" event), DBNVip3Aa ("DBN9501" event), DBN Cry1Ab+Vip3Aa ("DBN3601T" event), and Syngenta Cry1Ab+Vip3Aa ("Bt11" event × "MIR162" event) were 0.038 μg/g, 0.114 μg/g, 0.110 μg/g, and 0.147 μg/g, and the GIC50 values were 0.014 μg/g, 0.073 μg/g, 0.027 μg/g, and 0.026 μg/g, respectively. Determination of the expression content of the insecticidal protein in different tissues of Bt-(Cry1Ab+Vip3Aa) maize shows that the total Bt protein content in different tissues was in the following order: stalk > bract > cob > kernel. However, the bioassay results show that the mortalities of P. gularis feeding on Bt-(Cry1Ab+Vip3Aa) maize in different tissues at different growth stages were all above 93.00%. The field trial indicates that the occurrence density of larvae and plant damage rate for conventional maize were 422.10 individuals/100 plants and 94.40%, respectively, whereas no larvae were found on Bt-(Cry1Ab+Vip3Aa) maize. In summary, this study implies that Bt-(Cry1Ab+Vip3Aa) maize has a high potential for control of P. gularis, providing a new technical measure for the management of the pest.

The extensive and intensive effects of Vietnam’s technical measures on agricultural imports

The extensive and intensive effects of Vietnam’s technical measures on agricultural imports

COMPREHENSIVE REVIEW ON CYBERSECURITY: MODERN THREATS AND ADVANCED DEFENSE STRATEGIES

In the rapidly evolving landscape of cyberspace, the prevalence of sophisticated cyber threats has escalated, posing formidable challenges to individuals, organizations, and nations. This comprehensive review explores the contemporary panorama of cybersecurity, focusing on the latest threats and the advanced defense strategies employed to mitigate them. The analysis encompasses a wide spectrum of cyber threats, including malware, ransomware, phishing attacks, and advanced persistent threats (APTs), shedding light on their evolving tactics, techniques, and procedures. The review delves into the intricate world of cybercrime, emphasizing the motives behind attacks and the diverse range of threat actors involved, from individual hackers to state-sponsored entities. By examining recent case studies and real-world incidents, the review provides valuable insights into the dynamic nature of cyber threats, emphasizing the need for proactive and adaptive cybersecurity measures. Furthermore, the review critically evaluates cutting-edge defense mechanisms and strategies deployed to counteract these threats. It explores advancements in artificial intelligence, machine learning, and behavioral analytics, showcasing their pivotal roles in bolstering cybersecurity defenses. Additionally, the review discusses the importance of threat intelligence sharing, collaborative efforts, and international cooperation to fortify the global cyber defense ecosystem. As cybersecurity extends beyond technical measures, the review also addresses the human element, emphasizing the significance of cybersecurity awareness training and the role of employees in fortifying organizational resilience. It scrutinizes regulatory frameworks and compliance standards that play a crucial role in shaping cybersecurity policies and practices. By synthesizing the latest research, industry best practices, and expert insights, this comprehensive review aims to provide a holistic understanding of the current state of cybersecurity, offering practitioners, policymakers, and researchers a valuable resource to navigate the intricate challenges posed by modern cyber threats and to develop effective defense strategies for the digital age.&#x0D; Keywords: Cybersecurity, Threats, Defense Strategy, Cyber Threats, Review.

Противодействие идеологии скулшутинга в муниципальных образовательных учреждениях

Тhe article is devoted to the analysis of the phenomenon of “school shooting” in educational organizations, its characteristic features are considered. Mechanisms for identifying and preventing this destructive phenomenon are proposed. Organizational and technical measures to ensure the security of educational facilities. The main directions of activity of local governments in this area are analyzed.

Research progress on the method and index evaluating strong seedlings of winter wheat during overwintering stage.

The extreme weather disasters before winter caused by global climate change seriously affect the formation of strong seedlings of wheat. Cultivating strong seedlings is the premise of realizing high yield, high efficiency, and high quality of wheat. The cultivation of strong wheat seedlings is closely related to seed quality, straw returning quality, land preparation quality, sowing quality, water and fertilizer operation and meteorological factors. Seed quality and tillage measures are the primary factors affecting the cultivation of strong wheat seedlings, which determine the quality of wheat seedling emergence. Secondly, meteorological factors determine growth rate and photosynthetic production of wheat seedlings. Mounting studies have addressed the cultivation of strong seedlings and the evaluation of seedling conditions of wheat. This research focused on comparing and summarizing the evaluation methods and indices of strong seedlings of winter wheat, the historical changes of evaluation standards and the main technical measures for cultivating strong seedlings, and proposed the cultivation and evaluation methods of strong seedlings of winter wheat in the future. We aimed to further improve the evaluation method of winter wheat strong seedlings, advance the classification management, precise guidance and fine service of winter wheat seedlings, and realize strong seedlings through scientific and technological ways.

Impact of conservation farming practices on Aspergillus population density, peanut aflatoxin level, and exposure risk in Zambia

Aflatoxin contamination in peanuts (Arachis hypogaea L.) by aflatoxin-producing Aspergillus spp. is a serious problem worldwide affecting human health and restricting trade. Recently, conservation agriculture practices such as minimum tillage, crop rotation, soil surface cover, intercropping, and planting in basins alongside trees that enhance soil fertility, have been introduced in Zambia as tools to conserve soil moisture, increase peanut yield, and reduce the risk of aflatoxin contamination. However, a limited understanding exists of the impact of conservation agriculture on Aspergillus population densities in the soil and aflatoxin concentrations in crops grown under conservation agriculture. This study assessed the impact of conservation agriculture on (i) Aspergillus communities profile in soil cropped to peanuts, (ii) peanut aflatoxin contamination levels, and (iii) influences of the practices on liver cancer risks as a result of consuming peanuts grown in basins, peanuts grown in basins in farms having Gliricidia sepium trees (agroforestry), and peanuts grown on ridges (conventional tillage). Densities of Aspergillus spp. in soils ranged from 10 to 7,400 CFU/g (mean = 295 CFU/g). The densities differed among farming techniques (p = 0.0011) with conventional tillage (357 CFU/g) supporting higher densities than agroforestry (296 CFU/g) and peanuts grown in basins (230 CFU/g). Aspergillus communities were dominated by fungi with S morphology (55%; which is composed of several morphologically similar species), followed by A. parasiticus (34%), and the L morphotype of A. flavus (11%). Over 60% of the peanut samples were contaminated but there were no differences among farming techniques. Mean aflatoxin contents in peanuts were 110, 99, and 87, μg/kg for agroforestry, conventional tillage, and peanuts grown in basins, respectively. Probable daily aflatoxin intake ranged from 12.7 to 767.1 ng/kg body weight/d, depending on the age of consumers. The estimated liver cancer risk due to consumption of raw peanuts (0.334 to 20.128 cases/100,000 persons/year) was highest among children below 5 years and least for young adults. The results showed that growing peanuts in basins has the potential to reduce Aspergillus populations in soil. Possibly, planting in basins and agroforestry had minimal effect on water runoff and did not support sufficient moisture retention in the soil to reduce Aspergillus spp. densities and aflatoxin accumulation in the peanuts. Thus, more research is needed to improve the effectiveness of peanut cultivation in basins in shaping the Aspergillus species profiles for ultimately reducing aflatoxin in peanuts to safe levels. Given the high exposure of Zambia’s population, especially children, and that contaminated food is the major source of exposure, it is essential that appropriate technical, policy and institutional measures are promoted for aflatoxin mitigation in Zambia.

Privacy threats of behaviour identity detection in VR

This study explores the potential privacy risks associated with the use of behavioural data as an identification mechanism in immersive VR applications. With the advent of modern VR technology, tracking sensors are now able to provide a highly immersive experience with a high level of user agency, significantly increasing both the amount and richness of behavioural data being collected and recorded. However, there has been little research into the privacy risks of such approaches. In this work, we investigate the capability of machine learning algorithms to identify VR users across multiple sessions and activities, as well as their effectiveness when users deliberately change their behaviour to evade detection. We also examine how the physical characteristics of users impact the accuracy of these algorithms. Our results show that once a user is tracked in VR, they can be identified with 83% accuracy across multiple sessions of the same activity and with 80% accuracy when performing a different task. Even when users attempt to deliberately obfuscate their behaviour, they can still be recognised with 78% accuracy. These findings highlight the need for more robust technical measures to safeguard the behavioural privacy of VR users.

Scale elasticity and technical efficiency measures in two-stage network production processes: an application to the insurance sector

In performance analysis with tools such as data envelopment analysis, calculations of scale properties of the frontier points are studied using both qualitative and quantitative approaches. When the production process is a bit complicated, the calculation needs to be modified. Most existing studies are focused on a single-stage production process under the constant or variable returns to scale specification. However, some processes have two-stage structures, and, in such processes, the concepts of scale elasticity and returns to scale are inextricably related to the conditions of the stages of production. Thus, an evaluation of efficiency, scale elasticity, and returns to scale is sensitive to stages. In this study, we introduced a procedure to calculate technical efficiency and scale elasticity in a two-stage parallel-series production system. Then, our proposed technical efficiency and scale elasticity programs are applied to real data on 20 insurance companies in Iran. After applying our estimations to a real-world insurance industry, we found that, (i) overall, the total inputs of insurers in the life insurance sector should be reduced by 9%. Moreover, the inputs of nonlife insurers should be reduced by 50%. The final output in the investment sector must be increased by 48%. (ii) There are inefficiencies among all insurers in the investment sector, and to improve technical efficiency, the income from investments should be increased significantly. (iii) Finally, the efficiency and elasticity characterizations of insurers are directly subject to stages.

Đánh giá tác động của biện pháp kỹ thuật đến xuất khẩu thủy sản tươi sống và chế biến của Việt Nam

Global free trade movement has emphasized on the role of technical measures as the primary tool to regulate trade. The number of research both theoretically and empirically on this field has expanded significantly, however the results derived are often inconsistent about the magnitude as well as the direction of impact that technical measures impose on trade. This paper aims at contributing to the understading related to the dynamic of technical measures’ impact on trade. Using gravity model and the export data of Vietnam’s fresh and processed seafood, the results of this paper has shown that, SPS measures have positive impact on Vietnam’s fresh seafood trade, however, this impact on Vietnam’s processed seafood is mixed. TBT measures fail to show statistically significant impact on fresh seafood trade volume, however, have a negative impact on processed export. Based on these results, this paper also suggests adequate solutions for Vietnam’s seafood exporter with the aim of promoting trade volume.

Applications of Artificial Intelligence in the Neuropsychological Assessment of Dementia: A Systematic Review.

In the context of advancing healthcare, the diagnosis and treatment of cognitive disorders, particularly Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD), pose significant challenges. This review explores Artificial Intelligence (AI) and Machine Learning (ML) in neuropsychological assessment for the early detection and personalized treatment of MCI and AD. The review includes 37 articles that demonstrate that AI could be an useful instrument for optimizing diagnostic procedures, predicting cognitive decline, and outperforming traditional tests. Three main categories of applications are identified: (1) combining neuropsychological assessment with clinical data, (2) optimizing existing test batteries using ML techniques, and (3) employing virtual reality and games to overcome the limitations of traditional tests. Despite advancements, the review highlights a gap in developing tools that simplify the clinician's workflow and underscores the need for explainable AI in healthcare decision making. Future studies should bridge the gap between technical performance measures and practical clinical utility to yield accurate results and facilitate clinicians' roles. The successful integration of AI/ML in predicting dementia onset could reduce global healthcare costs and benefit aging societies.

Global health workforce strategies to address the COVID-19 pandemic: Learning lessons for the future.

COVID-19 put unprecedented strain on the health and care workforce (HCWF). Yet, it also brought the HCWF to the forefront of the policy agenda and revealed many innovative solutions that can be built upon to overcome persistent workforce challenges. In this perspective, which draws on a Policy Brief prepared for the WHO Fifth Global Forum on Human Resources for Health, we present findings from a scoping review of global emergency workforce strategies implemented during the pandemic and consider what we can learn from them for the long-term sustainability of the HCWF. Our review shows that strategies to strengthen HCWF capacity during COVID-19 fell into three categories: (1) surging supply of health and care workers (HCWs); (2) optimizing the use of the workforce in terms of setting, skills and roles; and (3) providing HCWs with support and protection. While some initiatives were only short-term strategies, others have potential to be continued. COVID-19 demonstrated that changes to scope-of-practice and the introduction of team-based roles are possible and central to an effective, sustainable workforce. Additionally, the use of technology and digital tools increased rapidly during COVID-19 and can be built on to enhance access and efficiency. The pandemic also highlighted the importance of prioritizing the security, safety, and physical and mental health of workers, implementing measures that are gender and equity-focused, and ensuring the centrality of the worker perspective in efforts to improve HCWF retention. Flexibility of regulatory, financial, technical measures and quality assurance was critical in facilitating the implementation of HCWF strategies and needs to be continued. The lessons learned from COVID-19 can help countries strengthen the HCWF, health systems, and the health and well-being of all, now and in the future.

Future European energy markets and Industry 4.0 potential in energy transition towards decarbonization

Climate change, economic growth and fossil fuel price volatility are forcing governments and thus society to adopt economical and technical measures in the energy sector to reach sustainability. These actions can be seen as opportunities for the stakeholders that form the energy market and also for new actors that may enter as a consequence of the energy transition that is taking place. In this paper, a description of the energy targets and potential market scenarios in Europe is carried out, together with a review of the policies implemented to achieve these objectives. Within this framework, the possibility of the industry to adopt a crucial role in the development of the new energy market is also analysed. The potential tools for its achievement are also presented, together with some of the techniques and mechanisms that make it feasible. From this study, it can be concluded that the industrial sector will become a major distributed prosumer, providing services to the energy market and facilitating the energy transition towards the decarbonization of the society.s

Timely Constructed and Enhanced Lining for Managing Extensive Deformations of Tunnel in Coal Stratum: A Case Study

Background The Sanlian Tunnel case study exemplifies that even after implementing the initial support within the coal stratum, the surrounding rocks exhibited ongoing deformation devoid of stabilization indications. Addressing this issue calls for innovative control technologies that mitigate extensive deformations and redefine safe and sustainable coal stratum tunnel construction. Methods The field experiment was adopted to select the appropriate technical measures to control extensive deformations. Three experiment schemes were developed and applied to the construction. Scheme One was the enhanced initial support structure, and Scheme Two was the combined use of enhanced initial support structure, lengthened sidewall anchor rods and added steel pipe piles. Scheme Three was the “timely constructed and enhanced lining structure” proposed on the basis of Scheme Two, and the secondary lining was applied if the horizontal displacement exceeded 450mm. Then, field observations of displacements and stresses were implemented to evaluate the effectiveness of different experimental schemes in controlling extensive deformations. Results Scheme One and Two cannot control extensive deformations effectively, as the displacement of the initial support continued to increase with no sign of stabilization. Regarding Scheme Three, structural deformation progressively attained a state of stability around 80 days subsequent to the secondary lining construction. Additionally, the stress within the support structure remains stable below the permissible threshold, affirming the secure condition. Conclusion Emanating from the field monitoring results, it is evident that the suggested “timely constructed and enhanced lining structure” scheme control technology holds substantial promise for practical implementation in engineering scenarios.

Evaluation of afforestations for avalanche protection with orthoimages using the random forest algorithm

Afforestations provide cost-effective and environmentally friendly protection against natural hazards, compared to technical measures. In Austria, more than 3000 afforestation sites for hazard protection covering 9000 ha have been established between 1906 and 2017, mainly for snow avalanche protection. The actual protective effect depends on avalanche predisposing factors and land cover, i.e. whether forest is present. In this study, predisposing factors and land cover classes were identified and analysed in selected afforestation sites. The protective effect of forest was attributed to the presence of forest cover and tree species. Using RGB images with a ground resolution of 20 × 20 cm, nine land cover categories have been distinguished by means of supervised classification with the random forest algorithm. Those land cover categories were classified with an overall accuracy of 0.87–0.98 and Kappa-values, ranging between 0.81 and 0.93. Images were filtered using a 3 pixel by 3 pixel majority filter, which assigns each cell in the output grid the most commonly occurring value in a moving window centred on each grid cell. This filter further increased the overall accuracy by removing noise pixels while preserving the fine elements of the classified grid. Our results indicate a protective effect for about half of the analysed afforestation sites. The dominance of the land use class “Meadow” at most sites with little avalanche protection effect suggests grazing as a limiting factor. The spatial information provided with the described method allows to identify critical areas in terms of avalanche protection even years after the initial afforestation.