Non-technical Factors Research Articles

Energy saving measures from their cradle to full adoption with verified, monitored, and targeted performance: a look back at energy audit at Catalytic Naphtha Reforming Unit (CCR)

Intending to contribute to the discourse about industrial energy efficiency and barriers to its improvement, deep insight into the scope and methodology and achievements of an energy audit on a Catalytic Naphtha Reforming Unit are provided. The audit of this particular unit was a part of the audit of the whole SLOVNAFT refinery in 2010–2012. The audit itself is the preparation of saving proposals’ implementation and post-implementation monitoring and targeting that lasted until spring 2016 covered in retrospective as the auditors were involved in all post-auditing phases as well. Several saving ideas emerging from the performed audit were rejected or have still not been implemented due to either technical issues or non-technical factors. Implemented proposals included improvement in the condensates’ management system, boiler feedwater preparation, and increased exploitation of the cogeneration potential. A cumulative 3-year benefit of over 600 k€ is reported which is close to the targeted value. The post-audit cooperation of auditors with the refinery’s staff enabled to define the non-technical barriers to saving proposals’ adoption that are of general nature. These included (1) short payback period requirement, (2) possibility of implementation of changes during the turnaround/general revisions, (3) conflicting relationships between local micro-economies of production units and the net-economy of the whole refinery, (4) internal processes and communication, and (5) personnel policy. Long-term cooperation, winning the trust and support of the staff and managers, and regular monitoring and targeting of implemented measures are seen as essential parts of sustainable industrial energy efficiency improvement in any industrial energy auditing.

Cooperation Contract between Players and Club in Indonesian Futsal League (A Case Study on Netic Ladies Cibinong)

The implementation of Indonesia Futsal League cannot be separated from an agreement between players and club stated in a cooperation contract, including the cooperation contract between club and underage players occurred in Woman Pro Futsal League on a club named Netic Ladies Cibinong. The case relates to the Article 1320 concerning the legal terms of an agreement in which the subjective requirement of an agreement cannot be fulfilled and Law No. 13 of 2003 concerning Employment in Article 52 Paragraph (1) Point c. In this study, normative empirical law study is used in which the researcher observed the reactions and interactions occurred when the norm system worked in the society. As a result, it is found that (1) the implementation of cooperation contract has followed the Regulation of FIFA, Football Association of Indonesia (PSSI)/ Indonesian Futsal Federation (FFI), as well as the regulations of applicable laws because children are represented by parents or trustee in making the agreement. However, in fulfilling the responsibilities and rights stated in the cooperation contract between underage players and Netic Ladies Cibinong, the club has not fulfilled them yet because of technical and non-technical factors; (2) the pattern of dispute settlement occurred has been based on the Regulation of FIFA, Football Association of Indonesia (PSSI) or Indonesian Futsal Federation (FFI), and the regulations of applicable laws which is through non-litigation path, in this case through NDRC (National Dispute Resolution Chamber) or CAS (Court Arbitration of Sports). However, a particular pattern of dispute settlement between underage players and club is not specifically mentioned.

What Can Policy-Makers Do to Increase the Effectiveness of Building Renovation Subsidies?

Heating is responsible for a substantial share of global energy consumption and still relies strongly on fossil fuels. In order to reduce energy consumption for heating, subsidies for building renovations are a common policy measure in Europe. Policy makers often combine them with information and advice measures. Policy mixes of this kind have been acknowledged widely in the literature, but their effectiveness needs further empirical examination. Based on a survey of the recipients of renovation subsidies and on four focus groups, we examine the (cost) effectiveness of subsidies, as follows: The effectiveness of renovation subsidies was measured by the extent to which receiving subsidies contributed either to the decision to renovate at all, or to the decision to enhance the quality or scope of the renovation. Fifty percent of the recipients surveyed reported that the subsidies contributed to a more energy-efficient renovation than was initially intended. The other fifty percent must be considered as free riders. Multivariate analyses further show that homeowners who used advice services and attributed outstandingly positive characteristics to the policy implementer were more likely to spend subsidies to improve energy efficiency. The findings demonstrate the importance of applying a combination of financial and persuasive policy measures. Additionally, they illustrate the importance of non-financial and non-technical factors, such as the communication competencies of the implementer, when designing policy measures.

Factors predicting the time-length variability of identically protocoled MRI exams.

Clinical variability in MRI exam durations can impede efficient MRI utilization. There is a paucity of data regarding the degree of variability of identically protocoled MRI studies and when nontechnological factors contribute to time-length variations in MRI exams. To measure the magnitude of variation in MRI exam duration for identically protocoled MRI exams and to identify potential contributors to variations in MRI exam times. Retrospective. 2705 identically protocoled MRI examinations of the cervical spine without contrast, comprehensive stroke exams, and comprehensive brain examinations performed on adult patients from June 30, 2016 through June 30, 2017. MRI exam duration was obtained directly from the image data. Potential predictors for exam length variability were evaluated including patient age, patient gender, performing technologist, patient status (inpatient/outpatient/emergency department), MRI field strength, use of sedation, day of week, and the time of day. Linear regression analysis was performed for each individual variable after correcting for the MRI exam type. A multivariate mixed model was generated to assess for independent associations between the predictors and exam duration. There was substantial variability in the duration of the selected clinical MRI exams, with standard deviations (SDs) ranging between 19% and 29% of the mean exam length for each individual type of exam. The performing technologist was the most significant identified factor contributing to this variation in exam length; SD = 2.645 (P < 0.001). Compared with outpatient exams, inpatient exams required 4.18 minutes longer to complete (P < 0.001), and emergency department studies 1.86 minutes longer (P = 0.005). Male gender was associated with an additional 1.36 minutes of exam time (P < 0.001). Nontechnical factors are associated with substantial variation in MRI exam times. These variations can be predicted based on relatively simple clinical and demographic factors, with implications for MRI exam scheduling, protocol design, staff training, and workflow design. 4 Technical Efficacy: Stage 6 J. Magn. Reson. Imaging 2019.

Comprehensive training in robotic surgery

Robotic training in urology can be poorly structured, lack a basic skills foundation, and may not include teaching in important nontechnical human factor skills vital to the safe delivery of robotic care. Assessment of acquired skills is not routine. There is a need for structured and standardized curricular to deliver validated training and final assessment. The present reviews the current literature on training methods for robotic surgery, and examines the evidence for their effect on performance, where available. There is good evidence for the beneficial effect of dry lab simulators on robotic skills acquisition, but less for cadaveric and animal models. Two urological authorities have developed comprehensive curricula for robotic training that take a novice robotic surgeon through the full stages of robotic skills acquisition. These are in the early stages of development and validation but have stimulated the development of curricula in other specialties. The future landscape for robotic urology training is likely to include structured, mandated, and centralized training, possibly administered by urological organizations. There will be roles for telementoring, advanced education for robotic trainers, and regular revalidation of expert robotic surgeons.

Critical factors affecting a successful BIM integrated design solution

There are arguments, that new technologies in general, which is particularly true for BIM, are an opportunity to change the work routine. On the other hand, recent research shows that successful adoption of BIM depends on allowing the team to adapt new technologies to suit existing workflows. The struggle for power and organizational change occurs when individuals, teams and organizations progressively move through changes to the risks associated with standard procedures, the interests of intellectual property, the financial risks associated with capital investment in both hardware and software, as well as to the investments needed to train and retain technologically advanced employees. So, what should be considered primary if an organization starts implementing BIM? Are non-technical (social) factors more critical than technical or vice versa? And among those who will face all the organizations that are the most critical?

Social capital factors in disaster risk reduction on West Sumatera non-engineered house

The increasing of earthquake vulnerability in Padang City based on earthquake zoning map demanded preparedness from the community. To ensure that the house is built in accordance with the concept of the non-engineered house, so it is more secure and minimizes the risk of casualties and losses caused by the earthquake. For the people who live in disaster-prone regions, it is important to build social capital in disaster preparedness, not just on technical issues. Technical factors are not enough to educate the community, besides it requires non-technical factors that may play a significant role in disaster reduction in the community. This study intends to identify the social capital factor that is needed in the application of earthquake-resistant housing concept in the implementation of non-engineered house construction as an effort to reduce disaster risks by the community. Social capital is identified from the relationship of homeowners with builders implementing the construction of the non-engineered house. The research location was conducted in Padang city of West Sumatera Province. Through this research, it is hoped that in the future, it will produce social-related policies that help local governments to encourage the increase of public awareness in realizing the construction of non-engineered houses.

Knowledge Sharing Driving Factors in Technical Vocational Education and Training Institute Using Content Analysis

Understanding of the driving factors to knowledge sharing activities in the Technical Education Vocational Education and Training (TVET) Institutions environment are required since these activities often experience failure as many instructors prefer to seek knowledge rather than to be the contributors. This study was conducted to identify contributing factors to knowledge sharing activities among instructors in TVET institutions. The study employs qualitative method using semi-structured interviews and content analysis. The sampling of the study was snowball sampling involving four TVET instructors. The findings identified four non-technical factors; i.e. organizational factors, individual factors, content factors and collaborative factors while one factor represents a technical approach i.e. technology that all contribute to knowledge sharing. How the identified factors may contribute to TVET institutions towards the development of knowledge sharing repositories to promote knowledge sharing among instructors were discussed.

English

The road management priority is needed by decision makers in serving public necessities in terms of accomplishment of equitable road infrastructure. In this research, the method used did not only have particular regard for non-technical factor which consisted of Development Plan Meeting (Musrenbang), public proposal, and policy, but also for technical factors. Technical factors were reviewed in terms of its management, namely the maintenance and improvement, each of which consisted of Average Daily Traffic (LHR), damage level, road network, land use, road function, and road class. The present research was aimed to obtain the priority rank of road management, by considering the factors that influenced the analysis using the AHP method. Based on the results of the AHP analysis, the factors that influenced the weighting in the AHP method towards the priority rank of road management in the City of Banjarmasin in this research are technical and nontechnical factors. As for technical factors, they have 3(three) times weight (75%) from that of non-technical factors’ (25%). However, in overall, judging from the fulfillment of non-technical indicators, they apparently have a massive weight: the most important factor is shown by Development Plan Meeting with a weight of 14.48%. As for the technical aspects, both for maintenance and improvement, they are shown by severe damage indicator with an interest level of 8.63% in terms of maintenance, and 8.53% for improvement. The usage of the AHP method in determining the priority scale of road management is applicable to the role and commitment of the decision makers. Keywords — AHP, priority scale, city roads

Quantitative risk modelling of maintenance work on major offshore process equipment

Investigations of major offshore accidents show that both technical and non-technical factors have crucial effects on the accident sequences. Nonetheless, quantitative risk analyses (QRAs) have traditionally focused on the technical safety systems while applications and findings in the non-technical fields are to a large extent missing. This paper proposes a new quantitative risk modelling methodology reflecting and analyzing how specific factors with respect to human, operational and organizational risk influencing factors (RIFs) influence the barrier performance for offshore maintenance work. New RIF-Index is proposed to identify and structure diverse RIFs for all failure events. RIFs are assessed by experts according to the established fuzzy scoring criterion. Further, the modified fuzzy analytic hierarchy process (AHP) addressing the fuzzy consistency is used to assess the importance degree of RIFs. On this basis, the industry average frequencies/probabilities are revised through an integrated assessment of the priority weights and the status of RIFs. Thus, input of the revised frequencies/probabilities results in an updated risk picture, which takes the specific conditions of technical, human, operational and organizational RIFs into account. Specific hydrocarbon release incident on the offshore installation is used as a case study with the purpose to apply and test the proposed methodology. It has been demonstrated that the proposed methodology is an effective tool for analyzing the failure of safety barriers, and handling the uncertainties and subjectivities arising in the operational risk analysis. The methodology is useful in demonstrating the effects on the barrier performance of installation specific conditions of non-technical RIFs.

An Ecological View on Software Reuse

The increase of consumption is an important motivation for the reuse of either physical or virtual products. As the software market has risen, software reuse has become a practice with favourable effects for software development companies and their clients. The most important benefits are increased productivity, reduced costs, better and easier maintenance, decreased development lead times and the improved quality of software products. Successful reuse depends on several technical and non-technical factors. The ecological impact of software is an important non-technical factor of software reuse that needs to be analysed in the context of the rapid evolution of optimization techniques. The main goal of this study is to identify ecological perspectives on software reuse. These will complete the framework of software reuse together with other technical factors, such as compatibility, and non-technical factors, such as economic and ethical implications.

Decomposition and decoupling analysis of CO2 emissions in OECD

Under the framework of the Kaya identity, this paper uses the Logarithmic Mean Divisia Index (LMDI1Abbreviation: LMDI, the Logarithmic Mean Divisia Index.1) decomposition method to explore the impacts of CO2 emission intensity of fossil energy, energy consumption structure, energy intensity, per capita Gross Domestic Product (GDP2Abbreviation: GDP, Gross Domestic Product.2), population distribution, and population size on CO2 emissions in the Organisation for Economic Co-operation and Development (OECD3Abbreviation: OECD, the Organisation for Economic Co-operation and Development.3) from 2001 to 2015. Additionally, the Tapio decoupling analysis is used to explore the decoupling relationships between the above influencing factors and CO2 emissions. Moreover, the LMDI decomposition formula is embedded into the decoupling analysis to analyze the influences of technical and non-technical factors on above decoupling elasticity. The results indicate that energy intensity and per capita GDP are the main factors affecting CO2 emissions. The former is the main reason for the decrease in CO2 emissions, and the latter is the main reason for the increase in CO2 emissions. The impact of population distribution on CO2 emissions is negligible. The decoupling states between the overall CO2 emission intensity of fossil energy, energy consumption structure, energy intensity, per capita GDP, and population size and CO2 emissions during 2001–2015 are recessive decoupling, recessive decoupling, weak negative decoupling, strong decoupling, and strong decoupling, respectively. Moreover, the influence of technical factors is greater than that of non-technical factors, and their influence directions are always opposite. In addition to our primary contributions, there are three marginal contributions in this paper. First, the population distribution is included in LMDI factorization. Second, LMDI decomposition is combined with Tapio decoupling analysis to explore the decoupling relationships between CO2 emissions and the above factors. Finally, the findings related to the impacts of technical and non-technical factors are novel.

Assessing energy storage technology options using a multi-criteria decision analysis-based framework

With the growing adoption of intermittent renewable energy generation the role for energy storage to provide a number of service needs is being increasingly recognised. However, ‘energy storage’ encompasses a family of technologies, each with its own set of performance, cost and physical characteristics, at different stages of development. At the same time, each energy system – however defined – has specific needs; and energy systems are themselves part of a wider socio-technical system which has aims beyond the confines of the energy ‘trilemma’. As energy storage technologies develop, funding is becoming available to demonstrate their application in realistic environments. However, with multiple technical and non-technical factors to consider, it is challenging for many decision makers who often have limited expertise and resources to select which projects to support.In this paper we first describe a novel framework for assessing the wider benefits that could come from deploying energy storage using Multi-Attribute Value Theory (MAVT), a form of Multi-Criteria Decision Analysis. We then use the framework to assess six potential energy storage projects through a combination of technical analysis and stakeholder input in the county of Cornwall in the UK: a region that has good solar and wind resource with relatively low demand and constrained network infrastructure. The projects assessed were: power to gas, a distributed battery system, battery storage integrated with solar PV and demand from Cornwall Airport Newquay, liquid air energy storage, battery storage integrated with wave energy, and thermal energy storage at a new residential development.We conclude that MAVT can provide a straightforward and user-friendly approach, which can be easily used by decision makers for assessing energy storage projects across a range of criteria and promoting engagement with stakeholders. This approach also allows the subjectivity of decision-making, a potential limitation, to be explored through a sensitivity analysis. The use of MAVT can lead to important insights for the development of energy systems, which in this study included the importance of local priorities to decision-making.In this case, battery storage with PV and demand from Cornwall Airport Newquay was the top-ranking project, performing well across a range of attributes including the maturity of the technology, its ability to defer grid upgrades and economic viability.

Provide an Approach to Development and Security Preparation Forensic

In the world, despite the efforts sparse for the use of information and communication technologies in some industries and businesses carried out, due to the lack of capacities and infrastructure required, preparation Forensic, causing a sharp drop in the performance of investments undertaken and the lack of benefits of ICT and mistrust and insecurity in And the vulnerability of information assets. In this regard Forensicpreparation assessment models provide the most help in understanding the status quo. Elements such as access mechanism, event tags, structure, communication systems and operating systems, intrusion detection systems, standards for data collection run by technical and non-technical factors affect protection of witnesses and the time this location. In this paper, according to the progress of society in the field of computer networking vacuum talk Forensic and preparedness in this area due to the emergence of e-government, there is discussed that requires the review process liable to digital evidence is in case any thing happened to information assets to risk losing assets and lowered consumer expenditure in this area to ensure future Forensic assets.

A comprehensive investigation on performance of oil and gas development in Nigeria: Technical and non-technical analyses

Nigeria is a critical player in the energy industry. However, the industry has concerns over the underperformance of Nigerian oil and gas projects. This study involved comprehensive and quantitative analysis of Nigerian oil and gas project performance from technical and non-technical perspectives with data from 65 projects. Nigerian projects have a high average cost overrun of 38% with an SD of 39%, time overrun of 37% with an SD of 41%, fatality rate of 0.027, and oil spillage ratio of 18.51. The overall performance of Nigerian projects is much worse than that for their global peers. The results demonstrate that Nigerian oil and gas projects are of low subsurface complexity and present low technology challenges, which are advantages for field development; therefore, subsurface complexity and technology challenges are not the major causes of the poor performance. However, non-technical factors (local content, community, security, and partnership) play a significant role. In the study, the degree of the factor's effect is quantified and categorized into groups for guidance. Further, a set of recommended practices was developed based on the risk level to assist project planners, international companies, investors, and policymakers to mitigate risks of developing oil and gas projects.

Trust and Rural Enterprise in the Trade Activities of Small-Scale Fisheries: Lessons Learned From Pangandaran, Indonesia

This paper explores the approach used by fisheries-related stakeholders to break the complex relationship between fishermen and middlemen in the fishing village of Pangandaran, West Java, Indonesia. This location was selected because the fisheries trade there has been institutionalized by the presence of rural enterprise. This is unusual, especially in traditional small-scale fisheries where trade is governed by middlemen. The information was obtained by interviewing key stakeholders from various parties and combining this with relevant secondary data. The main argument is that formalizing the fisheries market is not as simple as implementing technical regulations. There are non-technical factors that affect the entire process. The findings indicate that trust is the important variable that catalyzes the process and binds stakeholders in certain trading mechanisms. Furthermore, this situation is very helpful to divert the fishermen from patron-client relationships that are often unfavorable in the long term.

Exploration and development in the Carboniferous of the Southern North Sea: a 30-year retrospective

Abstract A review is presented of the progress of exploration for, and development of, gas fields in the Carboniferous of the UK Southern North Sea in the period since the first significant discoveries were made in 1984. The outcomes of such exploration have generally failed to live up to high initial expectations and exploration targeting of the Carboniferous has declined, the objective having come to be seen by many as difficult and risky. This review includes a summary of the published consensus regarding elements of the Carboniferous petroleum system and discusses the reasons for the decline in interest, which encompass geological complexity, interpretational and operational problems and other non-technical factors. Five areas of Carboniferous petroleum geology are identified in which the currently accepted status quo is open to challenge. More detailed discussion of these leads to the following general conclusions: (1) the distribution of source rocks and their maturation history remains poorly understood, largely as a result of the hitherto unquestioned acceptance that Westphalian coals have acted as the dominant gas source; (2) in many early wells the combination of formation damage and shortcomings in petrophysical data acquisition and evaluation has resulted in a failure to identify potential pay in low permeability formations and an overemphasis on the importance of channel sand bodies as reservoir objectives; (3) the controls on seal capacity and integrity within the Carboniferous succession have been little studied and, as a result, an unduly pessimistic view of intra-Carboniferous sealing potential has prevailed; (4) the distribution of sub-basin depocentres, and thus of basinal shale source rocks and potential hydrocarbon migration paths, remains poorly understood; and (5) conceptual models of the large-scale tectonic history of the Carboniferous basin complex have failed to evolve from early and simplistic rift and sag models, which do not adequately explain the observed distribution of stratigraphic thicknesses and are inconsistent with some published burial histories.

An international survey evaluating factors influencing the use of total intravenous anaesthesia.

The purpose of this study was to evaluate factors influencing the use of propofol-based total intravenous anaesthesia (TIVA)since despite TIVA being a well-established technique, it is used far less frequently than volatile anaesthesia. Questions were formulated after reviewing the literature for perceived disadvantages of TIVA and meeting with a focus group consisting of both senior and junior anaesthestists from our department. Once the survey had been formulated, specialist anaesthetists from professional colleges and societies from several countries were invited to complete the survey on an electronic web-based platform to allow evaluation of the respondent's rating of the importance of a range of factors in their decision not to use TIVA for a particular case. Basic descriptive statistics were determined using SPSS statistical software, while graphical depictions of data were handled using R for statistical analysis. A total of 763 survey responses were included in the final analysis and stratified according to the frequency of TIVA use. Among the infrequent users, issues such as additional effort, institutional preference, lack of real-time monitoring of propofol concentration, risk of missing drug delivery failure and increased turnaround time were among the top reasons mentioned. Interestingly, these issues were considered far less important among the frequent users when not choosing TIVA. We concluded that frequent and infrequent users respond quite differently to similar technical TIVA-related factors. Non-technical factors may play an important role in the infrequent user's decision not to use TIVA for a particular case.

P039: Application of the Delphi method to refine key components in the iterative development of a mobile tele-simulation unit (MTU)

Introduction: Safe and efficient provision of quality healthcare requires maintenance of knowledge and skills relevant to daily practice. This is particularly relevant in rural and remote locations where high-acuity low-occurrence procedures and clinical scenarios present even less frequently. Simulation based training is widely used to supplement clinical exposure and practice but effective delivery of this approach to the rural/ remote practitioner must address barriers of time, cost and geographical separation. Mobile tele-simulation is an innovative approach that may help in bridging the gap through delivery of effective mentoring using telemedicine technologies and tailored educational content. Methods: To help direct the iterative design cycle for the mobile tele-simulation unit, input from potential future users was felt to be essential. The Delphi method was employed to reach consensus among study participants on four key questions: 1) What applications would the MTU be best suited for?, 2) What technical requirements and teaching tools would be needed to make the MTU successful?, 3) Which fields, besides EM/medical education, may benefit from partnerships with the final MTU?, 4) What research studies could be developed using the MTU? It was decided in advance that two rounds would be the maximum due to time constraints of the larger MTU projects. The first questionnaire focused on demographics and the four questions above. Independent reviewers analyzed, compiled and compared responses. Participants were sent the updated list, asked to confirm their responses and then to rank the responses highest to lowest priority. Results: Fifteen of 17 first round participants completed the questions, giving an 88.2% response rate. All shared a simulation background. 66% were physicians, 13.3% medical students, and 20% staff at Memorials Simulation Center. 66% had been involved with simulation-based education less than 5 years, and the others greater than 5 year. 13 of 15 (86.7%) responded in round 2. Consensus was not reached statistically using Kendalls W test for each of the four questions. However, there were several responses that showed higher median ranks than the others under each question. Application use: rural healthcare training, and medical professional training Technical factors: reliable learner-mentor connection, and competent technical support Non-technical factors: knowledgeable mentor and content relevant to locations practice, Research studies: training needs assessment from rural sites, and learners experience compared to stationary simulation center Conclusion: Input from a heterogeneous group of simulation users was sought to help prioritize key features in the development of the Mobile Tele-simulation Unit. Although statistically the study did not reach consensus, valuable feedback was compiled and pragmatically applied in the iterative development cycle.

Insider-threat detection using Gaussian Mixture Models and Sensitivity Profiles

The insider threat is one of the most challenging problems to detect due to its complex nature and significant impact on organisations. Insiders pose a great threat on organisations due to their knowledge on the organisation and its security protocols, their authorised access to the organisation’s resources, and the difficulty of discerning the behaviour of an insider threat from a normal employee’s behavior (Gheyas and Abdallah, 2016). As a result, the insider-threat field faces the challenge of developing detection solutions that are able to detect threats without generating a great number of false positives, and are able to take into consideration the non-technical aspect of the problem. This paper introduces a novel automated anomaly detection method that uses Gaussian Mixture Models for modelling the normal behaviour of employees to detect anomalous behaviour that may be malicious. The paper also introduces a novel approach to insider-threat detection that capitalises on the knowledge of security experts during analysis using visual analytics and sensitivity profiles which is a novel approach to re-contextualise detection output by considering outside, qualitative, non-technical factors that analysts may be privy to, but not the detection method. A feasibility study with experts in threat detection was conducted to evaluate the detection performance of the proposed solution and its usability. The results demonstrate the success of designing a solution that builds on the knowledge of security experts during analysis and reduces the number of false positives generated by automated anomaly detection. The work presented in the paper also demonstrates the potential of introducing more methods for capitialising on the knowledge of security experts to improve the false negative rate, and the potential of designing sensitivity profiles.