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Most buildings are hardly ever technically equipped to adapt to ever changing user demands. Adaptability of building components is known as an essential technical aid to facilitate flexible use. However, for designers and developers it is very difficult to foresee how design decisions related to flexible use effect the efficiency of the technical system, especially when adaptations have to be realized in the future. Due to the large number of variables and interrelations, a structured approach is indispensable to translate (future) user demands into technical solutions for flexible use. Therefore, the purpose of this paper is to present a novel method that can assist designers to systematically find suitable measures for flexible use. This method, named comparative selection method for adaptability measures (CSA method), is developed specifically to impartially select and compare adaptability measures.

The CSA method is principally based on a performance approach, where technical solutions are compared and matched to performance requirements. To accomplish that, specific tools and theories were transferred from industrial product development. The CSA method displays the benefits of lifespan-oriented design, since a distinction is made between initial, once occurring effects and the effects that come with each expected adaptation.

In contemporary building practice the initial phase is critical for decision making. By a number of case studies, the application of the CSA method reveals that tailor-made solutions with a high degree of adaptability are in fact the most efficient for the long term. Hereby the view is confirmed that a lifespan-oriented approach in design decisions is essential for a sustainable and future-proof building stock.

The CSA method is a newly developed and unique support tool that assists in optimizing flexible building design through the search for best fit adaptability solutions.

The purpose of this study is to compare violent and non-violent extremists in terms of their age when they first perpetrate an extremist act, and to understand how this relates to other factors underlying extremist behaviours. While the end goal of many extremists may be functionally similar, the pathways into extremism vary, and the literature has demonstrated that a “one-size-fits-all” explanation does not exist. Motivational drivers are complex and dynamic; therefore, attempting to identify a terrorist “profile” has limited applied efficacy.

This study applied a temporal approach (“crime script analysis” or CSA) to identify, map and compare the sequential stages (or “scenes”) in the life histories of violent and non-violent extremists who have committed acts of extremism across different age groups. Crime scripts comprising mainly qualitative data for 40 male extremists (20 violent, 20 non-violent “cases”) were developed, and CSA was conducted according to the age at which they committed their first extremist offence.

Results demonstrated key temporal, developmental differences between the pathways of extremists who commit their first offence at different ages. One key difference was that for both the violent and non-violent extremists, those under 30 used the internet as a main means of joining networks and spreading information, whereas the over 30s made more personal, community links.

This research can aid identification of potential environmental triggers and potential increased susceptibility to triggers across certain age groups.

John Wellens writes: In INDUSTRIAL AND COMMERCIAL TRAINING, August 1974, Vol 6 No 8, Mike Jones and Peter Drake, both of the Engineering ITB, wrote jointly about the importance of improving the performance of systems within organisations. Earlier, in October 1970, Vol 2 No 10, another member of EITB staff, Margaret Walker, had written an important mile‐stone article on clerical training, drawing a sharp distinction between two aspects of competence in clerical work: one, competence in the sensori‐motor skills of typing, shorthand and operating office equipment; two, the proper and accurate use of the current office procedures and systems. The point was made that, whereas effort had been put into training for the former aspect, the latter was more critical to efficient performance and had been an area of training which had been grossly neglected, not only in Britain, but almost universally.

Investigates the efficiency of hybrid solution methods when incorporated into large‐scale topology and shape optimization problems and to demonstrate their influence on the overall performance of the optimization algorithms. Implements three innovative solution methods based on the preconditioned conjugate gradient (PCG) and Lanczos algorithms. The first method is a PCG algorithm with a preconditioner resulted from a complete or an incomplete Cholesky factorization, the second is a PCG algorithm in which a truncated Neumann series expansion is used as preconditioner, and the third is a preconditioned Lanczos algorithm properly modified to treat multiple right‐hand sides. The numerical tests presented demonstrate the computational advantages of the proposed methods which become more pronounced in large‐scale and/or computationally intensive optimization problems.

This study aims to explore possible ways to promote uptake and integration of climate-smart agriculture (CSA)-Technologies, Innovations and Management Practices (TIMPS) into policy and practice in Nigeria through the development of actionable roadmaps to facilitate the process.

Two hundred and fifty-two stakeholders for the policy discourse and survey were purposively drawn from both government and private agencies, NGOs and community-based associations from the six geo-political zones of the country. Data collection was done using a mixed method comprising questionnaire administration, in-depth interviews and panel discussion. Data collected was summarised using descriptive statistics.

The major findings were lack of existing policies on CSA, lack of farmers’ awareness of CSA-TIMPs, neglect of extension programmes that can help to enlighten farmers on the importance of CSA and insufficient extension personnel to cater for farmers’ needs. Challenges to CSA-TIMPs uptake in Nigeria were: insufficient funding and support by government in programme planning and implementation, policy inconsistencies and poor farmers’ attitude and resistance to change.

This research will facilitate CSA uptake and integration through the provision of data for informed decision and action by the responsible agencies.

Suggested actionable roadmaps across the zones were robust awareness campaign and advocacy on uptake of CSA-TIMPs through e-extension, community TV/radio in local dialects; revitalisation of policy programmes such as monthly meetings should be reintroduced and creation of CSA Departments/Stations in each state; increased budget allocation to a minimum of 10% for agriculture, revitalisation of Researchers-Extension Agents-Farmers Linkage, employment of qualified extension agents and retraining of extension agents.

The purpose of this paper is to create models that predict exergetic sustainability index (ESI) and environmental effect factor (EEF) values with high accuracy according to various engine parameters.

In this study, models were created to estimate ESI and EEF sustainability parameters in various flight phases for a business jet with a turboprop engine using the cuckoo search algorithm (CSA) method. The database used for modeling includes the various engine parameters (torque, engine airflow, gas generator speed, fuel mass flow, power and air-fuel ratio) obtained by running a business aircraft engine more than once at different settings and the actual ESI and EEF values obtained depending on these parameters. In addition, sensitivity analysis was performed to measure the effect of engine parameters on the models. Finally, the effect of the CSA number of nest (n) parameter on the model accuracy was investigated.

It has been observed that the models predict ESI and EEF values with high accuracy. As a result of the sensitivity analysis, it was seen that the air-fuel ratio had a greater effect on the output parameters.

These models are thought to assist in the exergetic environment analysis used to find the greatest losses for turboprop business jets and identify their causes and further improve system performance. Thus, they will be a useful tool to minimize the negative impact of business jet on environmental sustainability.

To the best of the authors’ knowledge, this study stands out in the literature because it is the first exergo-metaheuristic approach developed with CSA for business aircraft engine; moreover, the data set used consists of real values.

The purpose of this paper is to seek to segment CSA members based on their motivations to join a CSA.

Data obtained from an online survey of 565 members belonging to a New York state CSA were analyzed using a combined hierarchical and non-hierarchical cluster analysis.

Based on their motivations to join a CSA results reveal four distinct types of segments among CSA members: No-Frills Member, Foodie Member, Nonchalant Member, and Quintessential Member. Results show all four clusters differ statistically across demographic characteristics including gender, political affiliation, and household income. The clusters differed across psychographic characteristics such as attitudes toward the treatment of animals, treatment of farm workers, pesticide use, the environment, food miles, and limiting factory farm purchases. Quintessential Members emerge as most concerned with food purchasing decisions while No-Frills Members are least concerned.

The study employs a non-random purposive sample of CSAs in New York state. Respondents were recruited indirectly to participate in an online survey. The length and complexity of the survey, absence of an email address for respondents, levels of digital fluency, and technical glitches may result in lower participation rates.

This paper offers recommendations to farmers for retaining and attracting different types of CSA members.

This is the first study that segments CSA members in the USA based on their motivations to subscribe to a CSA, and it differentiates CSA member clusters based on their demographics, psychographics, and food purchasing decisions.

The purpose of this paper is to report on the findings from a study commissioned by the Office of the Children’s Commissioner (OCC) in England, concerning intrafamilial child sexual abuse (IFCSA)/incest. Specifically, it aims to explore what is known about the prevalence, nature, and impact of IFCSA and where the gaps in knowledge lie.

A rapid evidence assessment (REA) was used, the function of which is to: search the literature as comprehensively as possible within given time constraints; collate descriptive outlines of the available evidence on a topic and critically appraise it; sift out studies of poor quality; and provide an overview of the evidence. Over 57,000 documents were scanned, and 296 ultimately systematically analysed.

It was found that: there is wide variation in prevalence rates between studies; girls are more likely to be victims than boys; the onset of abuse is typically school age; abuse in minority groups is under-reported; sibling abuse may be more common than that by fathers; female perpetrated abuse may be under-reported; families where abuse occurs are often dysfunctional; and IFCSA has significant adverse effects on victims.

A REA is not a full systematic review, differing in the scope and depth of the searches and depending almost exclusively on electronic databases, not accompanied by searching journals by hand.

This work found numerous gaps in current knowledge about IFCSA, which the authors recommend be addressed by further research, including: the scale and nature of IFCSA in disabled victims, research on BME children’s experiences; the prevalence of abuse by stepfathers as compared to biological fathers; the experiences of male victims; the experiences of lesbian, gay, bisexual, and transgendered child victims; the short-term impact of IFCSA based on child victims’ experiences; and more widely, further research on the prevalence of abuse in clinical populations and the relationship between that and prevalence in wider society. In addition to such questions, the OCC inquiry will also investigate issues surrounding child protection and criminal justice responses to (IF)CSA and how these might be improved. The evidence base for this section of the inquiry is reported in Gekoski et al. (2016).

The findings of this research provide the evidence base for a new two-year inquiry into the subject of IFCSA by the OCC.

The issues of radiating sources in the existence of smooth convex matters by such objects are of huge significance in the modeling of antennas on structures. Conformal antenna arrays are necessary when an antenna has to match to certain platforms. A fundamental problem in the design is that the possible surfaces for a conformal antenna are infinite in number. Furthermore, if there is no symmetry, each element will see a different environment, and this complicates the mathematics. As a consequence, the element factor cannot be factored out from the array factor.

This paper intends to enhance the design of the conformal antenna. Here, the main objective of this task is to maximize the antenna gain and directivity from the first-side lobe and other side-lobes in the two way radiation pattern. Thus the adopted model is designed as a multiobjective concern. In order to attain this multiobjective function, both the element spacing and the radius of each antenna element should be optimized based on the probability of the Crow Search Algorithm (CSA). Thus the proposed method is named Probability Improved CSA (PI-CSA). Here, the First Null Beam Width (FNBW) and Side-Lobe Level (SLL) are minimized. Moreover, the adopted scheme is compared with conventional algorithms, and the results are attained.

From the analysis, the gain of the presented PI-CSA scheme in terms of best performance was 52.68% superior to ABC, 25.11% superior to PSO, 13.38% superior to FF and 3.21% superior to CS algorithms. Moreover, the mean performance of the adopted model was 62.94% better than ABC, 13.06% better than PSO, 24.34% better than FF and 10.05% better than CS algorithms. By maximizing the gain and directivity, FNBW and SLL were decreased. Thus, the optimal design of the conformal antenna has been attained by the proposed PI-CSA algorithm in an effective way.

This paper presents a technique for enhancing the design of the conformal antenna using the PI-CSA algorithm. This is the first work that utilizes PI-CSA-based optimization for improving the design of the conformal antenna.

The literature on the influence of audit committees (ACs) and cosmetic accounting (CSA) is scarce. This paper aims to examine the influence of AC attributes on CSA and how this relationship is moderated by the audit price (AUPR).

The study used pooled logistic regressions to analyse 624 firm-year observations of listed companies in Nigeria from 2008 to 2016.

The results show that AC financial accounting expertise, AC legal expertise and female AC membership were negatively related to CSA. The negative relationship is highly pronounced when a firm incurs higher audit fees. Results for the robustness checks were similar, even with changes to the measurements of dependent and independent variables and alternative estimation.

This study can benefit policymakers and regulators, enabling them to better appreciate the importance of AC attributes and AUPR in curtailing artificial manipulation and enhancing financial reporting quality.

This study can benefit policymakers and regulators, enabling them to better appreciate the importance of AC attributes and AUPR in curtailing artificial manipulation and enhancing financial reporting quality.

The findings provide an initial insight into the moderating effect of AUPR on the relationship between AC attributes and CSA.