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This paper aims to propose an automatic and direct method to manipulate global parameters of the object for prototyping and simulation, given an STL mesh model of a thin-walled object. Proposed method is useful in rapid prototyping, where changing the global parameters such as thickness, scaling local features or draft of walls of an STL mesh is often required. Presently, user needs to iterate over the cycle of modification of the computer-aided design (CAD) model and tessellating it to change the global parameters. The proposed algorithm eliminates the need for CAD model while manipulating those global properties, as it works directly with the mesh model.

Proposed algorithm automatically identifies walls and its thickness, and then, it extracts mid-surface from each wall. Global parameters are then modified by using these mid-surfaces.

Mesh directly modified and the mesh obtained by tessellating modified CAD model has same global properties; proposed method can also allow multiple parameters to be modified at the same time.

Input STL model is assumed to be error-free, where models containing errors like self-intersection will lead to incorrect mid-surfaces. Present algorithm assumes that the mid-surface represent of the input STL model is a manifold surface.

A novel algorithm of directly manipulating global parameters of a thin-walled object in its STL mesh model is proposed. The paper also presents a novel method of extracting mid-surface representation from a thin-wall STL mesh.

The purpose of this paper is to highlight the importance of vernacular architecture and traditional knowledge to building resilience in Nepal and the impact of modernisation on that resilience and architectural diversity.

Using an action research approach, including field observations and discussions with local community members, artisans, architects, engineers and other international experts, the study examines the resilience of traditional building typologies to natural hazards in Nepal, including earthquake; the changes that have occurred over time leading to the failure and/or rejection of traditional construction; and a review of post-earthquake reconstruction options, both traditional and modern.

Although traditional approaches have been cyclically tested over time, this study found that changes in building materials, technologies, knowledge and skills, access to resources, maintenance practices, urban environments and societal aspirations have all contributed to the popular rejection of vernacular architecture following the earthquakes.

The research is limited to traditional timber and masonry construction in the Kathmandu Valley and surrounding mountain areas.

To improve resilience the study identifies the need for capacity building in both traditional and modern construction technologies; adoption of approaches that use local materials, knowledge and skills, whilst addressing local timber shortages and access issues; a transparent construction certification system; good drainage; and regular maintenance.

The study critically evaluates the impact of technological, environmental, social and economic changes over time on the resilience of vernacular housing in Nepal.

The COVID-19 pandemic and the corresponding control measures have harmed the mental health of professionals working in the construction industry. Existing research has also indicated that demographic characteristics are leading variables causing differences in individual’s perceptions on mental health and psychosocial hazardous factors. Combining these, this research aims to compare the differences and similarities of the perceived mental health outcomes and psychosocial hazards among construction professionals with different demographic characteristics during the pandemic.

Using a questionnaire survey, data were collected from 531 construction professionals working in Chinese construction companies, which were analyzed quantitatively using mean score comparative analysis, Mann–Whitney U test and Kruskal–Wallis H test, as well as Spearman’s correlation analysis.

The results indicate that construction professionals with different ages, years of working experience and positions are exposed to different psychosocial hazards, resulting in different mental health conditions during the pandemic. Age and years of working experience are also strong predictors of the level of depression and anxiety experienced by construction professionals; that is, mental ill health tends to decrease with the increase of age and experience. Male department/unit heads, working in a company office environment for a private company and aged 31–40 years old with 11–20 years of working experience, tend to have the best mental health condition. In contrast, psychosocial hazards are more likely to produce the most serious impact on male site-based construction professionals working for a state-owned company, either with less than one year of working experience or in a senior management position.

Despite the significant contribution of the construction industry to the global economy, the differences and similarities of the mental health outcomes and psychosocial hazards among construction professionals with different demographic characteristics during the pandemic remain unknown. This research, therefore, reveals the mental health outcomes and psychosocial hazard impacts among different types of construction professionals during the pandemic. Specifically, this research unveils the important personal characteristics which are closely associated with poor mental health and the stronger impacts of psychosocial hazards on the mental health of construction professionals during the pandemic. The results are valuable for governments and construction companies to formulate targeted mental health intervention strategies during future public health emergencies.

Fingerprints and blood samples are important for the identification of individuals and criminals. The present study aims to identify the predominant fingerprint patterns and the association between the fingerprint patterns and ABO–Rh blood groups in Omani population.

A cross-sectional study was conducted on 200 Omani individuals aged 18 years (104 males and 96 females). The imprints of all right and left-hand fingers were taken, and the types of the fingerprints were determined using a standard protocol. The blood group of all the subjects was recorded. Chi-square test was performed to identify the association between the fingerprint patterns and the ABO and Rh blood groups.

The loop fingerprint pattern was the most common in Omani subjects (49.4%), followed by whorl (44.9%) and arch (5.7%) pattern. A significant association (p < 0.001) was found between gender and fingerprint pattern. The loop was the highest occurring pattern in the females (54.6%), while the whorl was more in males (50.0%). The whorl pattern was the most common in the AB+ and O− groups. The loop was a predominant pattern in the A+, A−, B+, B− and O+ groups. The Chi-square test also revealed a significant correlation between different fingerprint patterns and blood groups of the subjects (p < 0.001).

The present study is an outcome of undergraduate student's research project thesis for the Doctor of Medicine (MD) program. The results of the present study may help in creating a data bank for biometrics, which can be useful for diagnosing associated diseases and also help in identification of individuals.

In the dynamical analysis of engineering systems, running a detailed high‐resolution finite element model can be expensive even for obtaining the dynamic response at few frequency points. To address this problem, this paper aims to investigate the possibility of representing the output of an expensive computer code as a Gaussian stochastic process.

The Gaussian process emulator method is discussed and then applied to both simulated and experimentally measured data from the frequency response of a cantilever plate excited by a harmonic force. The dynamic response over a frequency range is approximated using only a small number of response values, obtained both by running a finite element model at carefully selected frequency points and from experimental measurements. The results are then validated applying some adequacy diagnostics.

It is shown that the Gaussian process emulator method can be an effective predictive tool for medium and high‐frequency vibration problems, whenever the data are expensive to obtain, either from a computer‐intensive code or a resource‐consuming experiment.

Although Gaussian process emulators have been used in other disciplines, there is no knowledge of it having been implemented for structural dynamic analyses and it has good potential for this area of engineering.

In Nepal, crop insurance is at initial phase. However, since its implementation seven years ago, the adoption rate has been fairly low even with the government's lucrative subsidy on premium. There have been very limited studies on specifics of insurance for different crops, and farmer's acceptability on insurance. This study examines WTP for tree-based insurance, a potential insurance scheme on fruit crops in hilly areas of Nepal.

The authors used a contingent valuation method to estimate farmer's willingness to pay (WTP) premium for insurance. They used a double-bounded dichotomous choice (DBDC) framework to elicit WTP and an interval regression method to estimate the WTP model.

The authors found that the farmers revealed WTP for tree-based insurance is three times higher than the premium they would pay under government's current subsidy plans of insurance. The authors’ result from interval regression also suggests that the factors such as farm size, farmer's adverse experience about invasive pest and weather, awareness of crop insurance, farming experience, and family involvement in agriculture significantly influence farmers' WTP.

A distinct modality of insurance, like tree-based insurance for fruit crops in mid and high hill areas, may enhance the adoption rate rather than a broad area-based plan generalized for all crops.

Only a few studies have examined specifics of insurance in fruit crop insurance in developing countries. The authors’ estimated WTP factors influencing WTP on citrus fruit-crop insurance in Nepal indicates that there is a scope for extending this insurance program. However, the authors also found that there is a gap in understanding of crop insurance and have limited awareness on the government's subsidy programs among farmers.

A novel frequency domain approach, which combines the pseudo excitation method modified by the authors and multi-domain Fourier transform (PEM-FT), is proposed for analyzing nonstationary random vibration in this paper.

For a structure subjected to a nonstationary random excitation, the closed-form solution of evolutionary power spectral density of the response is derived in frequency domain.

The deterministic process and random process in an evolutionary spectrum are separated effectively using this method during the analysis of nonstationary random vibration of a linear damped system, only modulation function of the system needs to be estimated, which brings about a large saving in computational time.

The method is general and highly flexible as it can deal with various damping types and nonstationary random excitations with different modulation functions.

This study examines the linear and non-linear effects of enterprise risk management (ERM) and corporate governance (CG) on insurers’ risk-taking behaviour.

The study employed panel data of 63 insurers from South Africa over the period 2015 and 2019. The study used the generalised method of moments (GMM) to determine the direct relationship, while the dynamic panel threshold technique was utilised to discover whether there is non-linearity in the relationship and the threshold level at which ERM and CG stimulate insurance risk-taking.

The result from the GMM elicits a positive relationship between ERM and risk-taking, implying that insurers with a robust ERM system are more likely to pursue higher risks. The empirical evidence also suggests that board size and board independence improve insurers’ risk-taking. Contrarily, gender diversity shows an inverse relationship with risk-taking. The dynamic panel threshold regression confirms non-linearities between ERM, CG and risk-taking. The empirical evidence indicates a U-shaped relationship between ERM and risk-taking, implying that a robust ERM system increases insurers’ risk-taking and vice-versa. Further, board size and independence reveal an inverted U-shaped relationship, suggesting that larger boards and a higher proportion of independent directors exhibit lower risk-taking. However, gender diversity presents a negative relationship, demonstrating a strong impact at higher threshold levels. This tells that the presence of females on the board reduces insurers’ risk-taking preferences.

Due to the risk-bearing nature of the insurance business, it is required that they ensure a robust ERM system for prudent risk-taking decisions. This demands strict adherence to ERM principles and allocating sufficient resources for effective implementation. Also, there is a need for strong CG structures that pay more attention to diversity when selecting board members due to their influence in ensuring improved risk-taking choices.

This study contributes to the existing literature by providing insights into the under-researched role of ERM and CG in insurers’ risk-taking behaviour. The study further extends the literature by providing evidence on the non-linearity and threshold levels at which ERM and CG influence insurers’ risk-taking choices. The findings are unique and contribute to the growing body of literature documenting the need for strong ERM and CG systems in insurance companies.

The empirical research examined the effect of intrinsic motivation (IM) and employees’ performance appraisal satisfaction (PAS) on performance outcomes (POs) viz., organisational commitment (OC) and turnover intention (TI). The existence of significant differences among variables under study due to different demographic factors was also tested. A questionnaire survey approach was used as a method of heterogeneous data collection involving 302 employees from 3 select service sector organisations (SSOs). To test the hypothesised relationships, results were interpreted based on mean values, standard deviation (SD), percentage, correlation analysis, regression analysis, and one-way ANOVA tests which are the accepted tools and are appropriate to interpret the data in a study of this kind. Empirical evidence supported the direct relationships of IM and PAS with OC and TI. The findings also indicated that IM and PAS are more than the normal in most of the cases across the demographic groups. Significant differences were observed on perceptions of PAS and OC due to gender, years of service, and level or current position of employees. Further research studies are needed to establish the predictors of IM, PAS, and POs in different organisational contexts. Several important practical and research implications of the research results are discussed in this chapter.

Elderly patients requiring prolonged mechanical ventilation are treated with a tracheostomy. Oftentimes, the family caregivers need to participate in the care for elderly patients with a tracheostomy during hospitalization. Therefore, this paper was conducted to acknowledge what family caregivers experience while caregiving for hospitalized elderly patients with a tracheostomy.

This literature review identifies family caregiver participation in caregiving for the elderly patient, the impact of caregiving, and the needs of family caregivers.

Family caregivers participate in the planning and provision of care to elderly patients. Furthermore, they also collaborate in the therapeutic process for elderly patients as well. Albeit the former sentiments, they experience physical, psychological, social and financial consequences of caregiving. It has been revealed that during the process of caring for their loved ones, family caregivers often experience poor sleep quality, strain, reduction in social interaction and insufficient income. Thus, health-care professionals should support and provide care for the needs of family caregivers. This can be achieved through providing information on prognosis, the care plan, emotional support and collaboration during the therapeutic process to provide better care for elderly patients with a tracheostomy. In addition, family caregivers’ relatives can also provide financial support and rotation of caregiving schedules to avoid burnout.

The paper indicates that family caregivers experience the impacts of caregiving. They should be supported by health-care professionals and their relatives.