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Previous research studies have noted that veterinarians are up to four times more likely to die by suicide than the general population. Studies have indicated possible catalysts for this increased risk, including exposure to euthanasia, depression, burnout, compassion fatigue, occupational stress, work–life imbalance and anxiety. With female veterinarians reporting higher rates of mental health issues and the fact that the ratio of female to male veterinarians is almost 2:1, the study focused on the female veterinarian population. Few research studies have been conducted to examine stressors directly related to human factors. The present study aims to examine the path to depression and burnout as it relates to positive versus negative interactions with human clients (owners of animal patients).

The study recruited 222 female veterinarians online (average age = 36.89). The participants completed three scales measuring (1) burnout; (2) depression, anxiety and stress; and (3) positive and negative experiences with human clients.

Using the structural equation modeling (SEM), the results showed contrasting patterns of positive versus negative client-related experience in relation to burnout and depression. Positive client experience showed a direct path to the lower levels of depression and client-related burnout while negative client experience revealed a non-direct path to depression but a direct path to more specific burnout such as client-related and work-related burnout.

Results of the study offered insight into the unique contribution of client-related experience in burnout and depression as positive versus negative client experience took on differential paths to depression and burnout.

This study examines the impact of the Association to Advance Collegiate Schools of Business (AACSB) accreditation on education quality. We discern the prospective influences of AACSB, focusing on shifts in teaching methods and content and assessment procedures.

Using a case study approach, in-depth interviews are conducted with a Japanese-accredited business school’s faculty members to understand their perceptions of the school’s education-quality issues. The data were thematically analyzed.

Respondents acknowledged that AACSB accreditation has positively influenced teaching, encouraging active learning and the case method. However, they also indicated that accreditation had a restrictive effect on assessment activities, pushing toward compliance rather than genuine learning evaluation. This dichotomy suggests a need for balancing standard adherence with the flexibility to maintain educational depth and assessment integrity.

Convenience sampling may introduce self-selection bias. Furthermore, the qualitative case study approach does not allow for statistical generalization. However, when combined with existing literature, the findings can be analytically generalized and transferred to other contexts.

We provide insights regarding AACSB accreditation’s impact on business education, encompassing shifts in teaching methods and content and faculty perceptions of assessment. This study enhances the scholarly understanding of business school accreditation and offers guidance to accredited or accreditation-seeking academic institutions.

This study aims to propose a novel viscoelastic–viscoplastic combined constitutive model for glassy amorphous polymers within the framework of thermodynamics at finite strain that is capable of capturing their rate-dependent inelastic mechanical behavior in wide ranges of deformation rate and amount.

The rheology model whose viscoelastic and viscoplastic elements are connected in series is set in accordance with the multi-mechanism theory. Then, the constitutive functions are formulated on the basis of the multiplicative decomposition of the deformation gradient implicated by the rheology model within the framework of thermodynamics. Dynamic mechanical analysis (DMA) and loading/unloading/no-load tests for polycarbonate (PC) are conducted to identify the material parameters and demonstrate the capability of the proposed model.

The performance was validated in comparison with the series of the test results with different rates and amounts of deformation before unloading together. It has been confirmed that the proposed model can accommodate various material behaviors empirically observed, such as rate-dependent elasticity, elastic hysteresis, strain softening, orientation hardening and strain recovery.

This paper presents a novel rheological constitutive model in which the viscoelastic element connected in series with the viscoplastic one exclusively represents the elastic behavior, and each material response is formulated according to the multiplicatively decomposed deformation gradients. In particular, the yield strength followed by the isotropic hardening reflects the relaxation characteristics in the viscoelastic constitutive functions so that the glass transition temperature could be variant within the wide range of deformation rate. Consequently, the model enables us to properly represent the loading process up to large deformation regime followed by unloading and no-load processes.

The Greater Mekong Sub-region (GMS) is noted as an investment destination recently. However, there are few surveys about this region. In particular, direction of the regional disparity and economic linkage cannot be found, although it is inevitable to formulate economic or business policies. The paper aims to discuss these issues.

First, the author calculated the regional GINI coefficient of the GMS, converting the per capita GDP using the purchasing power parity. Then, the trend of intra-regional trade was calculated by using the data of Direction of Trade Statistics of IMF. In addition to that, to consider the trade structures, bilateral trades of Thailand with Vietnam, Laos and Myanmar were analyzed.

This paper made clear that the regional disparity of the GMS has been gradually shrinking from serious level to moderate in recent years, although it is still larger than the disparity of ASEAN original members. Two Chinese districts and Vietnam played an important role to improve the disparity. As for the intra-regional trade, it used to be very poor in the early 1990s, but is increasing in these years. There may be some signs of starting of the intra-industrial trade between Thailand and Vietnam, although trades with lower developed countries such as Laos and Myanmar are led by natural resources-related products.

This paper is the first survey to calculate the regional disparity of the GMS with time series data. The analysis of the intra-trade among the GMS members expresses the current situation of the economic linkage of this area.

This paper analyses how the history of the Mongol invasions of Japan in the 13th century was used to create a collective national memory of modern Japan and how individuals and the Japanese public promoted these memories through a campaign of constructing memorials to strengthen Japan's unified national consciousness in times of national crisis.

The main research material is derived from Japanese newspaper archives, National Diet library database as well as Japanese and English secondary literature.

This paper argues that three Japanese concepts, such as kokunan (national crisis), kokui (national prestige or pride) and gokoku (protecting the country), were essential for the creation of collective Japanese memory and identity.

The paper outlines the narrative formed around the history of the Mongol invasions of Japan to create a unified national identity through a collective historical memory in times of Japanese “national crisis” felt in its external relations.

The diagnosis of autism in adults often involves the use of tools recommended by NICE guidance but which are validated in children. The purpose of the paper is to establish the strength of the association between the Autism Diagnostic Interview-Revised (ADI-R) scores and the final clinical outcome in an all intellectual quotients adult autism diagnostic service and to establish if this in any way relates with gender and intellectual ability.

The sample includes referrals to Leeds Autism Diagnostic Service in 2015 that received a clinical outcome. Sensitivity, specificity and positive and negative predictive values were calculated to evaluate ADI-R and final clinical outcomes. Logistic regression model was used to predict the effect of the scores in all the domains of ADI-R and the two-way interactions with gender and intellectual ability.

ADI-R has a high sensitivity and low specificity and is useful to rule out the presence of autism, but if used alone, it can over diagnose. Restricted stereotyped behaviours are the strongest predictor for autism and suggests that the threshold should be increased to enhance its specificity.

This is a single site study with small effect size, so results may not be replicable. It supports the combined use of ADI-R and Autism Diagnostic Observation Schedule and suggests increasing ADI-R cut-offs to increase the specificity.

The clinical team may consider piloting a modified ADI-R as suggested by the results.

To the authors’ knowledge this is the only study of ADI-R in an adult population of all intellectual abilities.

Inspired by the basic idea of gradient boosting, this study aims to design a novel multivariate regression ensemble algorithm RegBoost by using multivariate linear regression as a weak predictor.

To achieve nonlinearity after combining all linear regression predictors, the training data is divided into two branches according to the prediction results using the current weak predictor. The linear regression modeling is recursively executed in two branches. In the test phase, test data is distributed to a specific branch to continue with the next weak predictor. The final result is the sum of all weak predictors across the entire path.

Through comparison experiments, it is found that the algorithm RegBoost can achieve similar performance to the gradient boosted decision tree (GBDT). The algorithm is very effective compared to linear regression.

This paper attempts to design a novel regression algorithm RegBoost with reference to GBDT. To the best of the knowledge, for the first time, RegBoost uses linear regression as a weak predictor, and combine with gradient boosting to build an ensemble algorithm.

The New Zealand building code has played a vital role in reducing the impact of disasters in the built environment. Following the nature of earthquake occurrences, the associated impacts such as building collapse and the increase in technological innovation in the building sector, the New Zealand building code has been frequently amended. The building code amendment ensures that buildings and other related infrastructures can withstand the impact of ground shaking without substantial damages to buildings. The purpose of this paper is to identify and explore the benefits of building code amendments in New Zealand.

Document analysis and closed-ended questionnaire were adopted as data collection instruments for this study. The relevant stakeholders comprise structural engineer, geotechnical engineer, architect, building services consulting engineer, licensed building practitioner, project manager, building contractor, local authority, academic/researcher and quantity surveyor.

A significant proportion of the survey participants that agreed to the importance of building code amendments in New Zealand justify the benefits of the amendments. The study serves as a useful guide to policy regulators and researchers who are exploring other aspects of regular building code amendments in New Zealand. The findings from this study suggest that amending the New Zealand building code needs a proactive approach to promote local technology, enhance low-cost construction materials, training of code users and reducing bureaucracy in design approval and construction inspection. The study concludes that improving on the 28 factors identified in this study would contribute intensively to disaster risk reduction in the built environment and an increase in compliance level in New Zealand.

This paper originality comes from its practical approach towards identifying the benefits of building code amendments

This research analyzes the current knowledge regarding the use of maturity models (MMs) in SSCM, aiming to identify the main characteristics, trends and research gaps on the subject. Facing the growing interest in carrying out studies directed at sustainability, to the detriment of more prescient environmental and social impacts and the need to consolidate the concepts present in the literature regarding the SSCM, an absence of similar studies in the current literature was found. The authors have selected articles to compose a database that allows users to analyze and classify publications on MMs in SSCM, being those subdivided into 7 categories: focus, methodology, analyzed sector, sustainable practices, dimensions of sustainable development, type of MM and model/framework validation method.

To achieve this purpose, a literature systematization was conducted by searching publications using defined keywords in two databases and following a process of classification. The systematic process has five steps, from the selection of databases to the filtering of publications, review of information and analysis of the sample.

The topic under study is promising, with a few publications dealing with it, mainly in Brazil, and there is a trend to exploit more of the area in future research.

This research provides a detailed analysis of an emerging theme, divided into seven thematic categories. Results demonstrate that the topic is still underexplored, indicating an important research gap to be filled.

This interventional study aims to test the effectiveness of thek training approach for higher education faculty members to facilitate students with disabilities (SwD) to promote inclusion in higher education by operationalising approaches on the basis of the social action model. It presents an evidence-based training model created on recognised theories and strategies in the field of disability.

The study follows a single-case pre/post-test intervention design in which data were analysed quantitatively, followed by a thematic analysis of participants' feedback and trainer's reflections. Training sessions were aligned to the social action model, the perspective of reasonable accommodations and introduction to technological support for teaching-learning and policy issues. Eighty faculty members from different schools of a multi-disciplinary Pakistani university participated in these sessions. Data from only 63 faculty members were available for analyses.

Teacher Perceptions of Facilitating Students with Disabilities (TP-FSD) scale served as a pre- and post-test measure. The quantitative assessment revealed knowledge and attitudinal gains after brief trainings. However, when findings were interpreted considering effect sizes and supported by qualitative findings, moderate effectiveness level was evident. Effectiveness can be interpreted by the internal and external validity checks and findings of multiple assessments.

This study can be replicated by adapting the training approach and by considering its strengths and shortcomings mentioned in detail in the discussion section.

The study tested the effectiveness of brief faculty training to support SwD in a multi-disciplinary university having faculty with varied education and training experience.