Analysis Approach Research Articles

Integrated spatial prioritization of urban nature-based solutions for climate adaptation, mitigation, and justice

ABSTRACT In densely populated cities, people confront multiple impacts of climate change, including stormwater runoff, flooding, heat waves, and health issues. To address these impacts, nature-based solutions (NbS) have gained significant attention in recent years due to their potential to contribute to sustainability, resilience, and ecosystem services. Nevertheless, more research is required to understand the wider potential of NbS and to identify priority areas for their deployment. This study developed an analytical approach and implemented it in the Tehran Metropolitan Area (TMA) by considering factors related to NbS co-benefits. The approach included spatial prioritization, spatial correlation analysis, and suitability analysis. It combines a Geographic Information System, Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model, Zonation, Best-Worst Method, Bivariate Local Indicator of Spatial Autocorrelation analysis (BiLISA), a Fuzzy Inference System, and Boolean overlay analysis. The results include maps showing priority areas for different types of NbS and spatial co-benefits and mismatches. High-priority areas are located in disadvantaged areas. In total, 105.73 km2 (17% of the TMA) was designated as highly prioritized. We show that various NbS interventions are applicable, with green roofs and rainwater harvesting being the most feasible. This study can assist decision-makers in optimizing NbS to deliver maximum co-benefits.

Resource supply and demand model of military settlements in the cold weapon era: case of Zhenbao Town, Ming Great Wall

AbstractAs an important military defense project in Chinese history, the Ming Dynasty Great Wall and its associated military settlements played a crucial role in maintaining border security. A systematic analysis of how military settlements allocated resources based on external threats and geo-strategic needs is essential to understanding their settlements defense systems. However, this aspect has been relatively under-explored in existing research. Therefore, a resource allocation assessment model for Great Wall military settlements during the Cold Weapon era is established to facilitate a more scientific analysis and quantitative assessment of Military Defense Capabilities(MDC) and Military Requirements(MR). This study employs a combined Analytical Hierarchy Process (AHP) and Principal Component Analysis (PCA) approach to determine the weight of each indicator for both military defense capability and military requirement. Spatial clustering using K-means is conducted to visualize the distribution of these strengths and weaknesses. An Ordinary Least Squares (OLS) regression model links military requirements with defense capabilities, assessing the relationship between settlement locations and historical battle sites. Residual analysis is utilized to identify areas of resource over-allocation or under-allocation. The study reveals that the regional differences in military defense capabilities and requirements within the Zhenbao Town area during the Ming Dynasty correspond closely with the locations of frequent conflicts. This finding suggests that the distribution of defensive capabilities were strengthened in areas with challenging terrain, while the effectiveness and allocation of defense capabilities were determined by logistical support and transportation conditions. This study enhances our understanding of historical military strategies from a historical geography perspective and offers innovative insights for analyzing Great Wall settlement, moving beyond mere sensory intuition and historical experience.

Navigating the Skies: The Aviation Industry’s Corporate Social Responsibility Communication for Human Trafficking Awareness

ABSTRACT Corporate social responsibility (CSR) communication has not yet fully explored the issue of human trafficking, especially not specifically in the aviation industry. The present study examines Group III mainline passenger airlines in the United States to understand how those airlines communicate their CSR efforts related to human trafficking as well as how those airlines engaged with stakeholders in this work. Using a six-phase thematic analysis approach, the analysis of airline CSR communication revealed that 7 of 10 airlines used a human rights lens to frame human trafficking, that human trafficking was part of airline community outreach and community connection efforts and important to combating labor trafficking in airline supply chains; and that training and partnership efforts were employed to engage key stakeholders. Findings present theoretical and practical implications for students, researchers, and communication practitioners working in CSR for human trafficking.

A multi-objective constraint programming approach to address clustering problems in mine planning

PurposeThe mine sequencing problem is NP-hard. Therefore, simplifying it is necessary. One way to do this is to employ clusters as input instead of individual blocks. The mining cut clustering problem has been little addressed in the literature, and the solutions used are almost always heuristic. We solve the mining cut clustering problem, which is NP-hard, through single- and multi-objective optimization, finding results that are local optima in acceptable computational time.Design/methodology/approachWe first elaborate an ILP-based model to address the mining cut clustering problem. We employ a mono-objective approach and two multi-objective approaches, solving all these models by constraint programming. To choose the best solutions generated by multi-objective approaches, we employ two multi-criteria decision analysis approaches, considering different weight configurations. We developed a case study using real data.FindingsWe verified that the approaches based on multi-objective optimization performed better than the mono-objective approach for the economic return criterion. The weighted-sum multi-objective approach presented the best results considering all objective functions used. Once viable solutions were obtained through multi-objective optimization, multi-criteria decision analysis approaches almost always selected the same solution. We obtained solutions that are local optima in acceptable computational time.Research limitations/implicationsThis study solves an instance with 80 blocks. Consequently, it is aimed at short-term mine planning. The methodology has not yet been evaluated in large instances related to medium- and long-term mine planning.Originality/valueThis is the first time that multi-objective optimization has been employed to solve the mining cut custering problem. Even other problems related to mine planning were, at most, solved by goal programming, so that multi-objective optimization is a knowledge that is not widespread among mining researchers. The results are consistent, and the study achieves the objective of finding quality solutions to an NP-hard problem in an acceptable computational time.

A Review of Principles, Analytical Methods, and Applications of SEM‐EDS in Cementitious Materials Characterization

AbstractScanning Electron Microscopy with Energy Dispersive Spectroscopy (SEM‐EDS) is an indispensable and versatile technique that provides detailed 2D spatial insights into the microstructure of heterogenous cementitious systems. To foster clear and systematic understanding of SEM‐EDS analysis in advancing research on cementitious materials, the state‐of‐the‐art principles, analytical approaches, and applications of SEM‐EDS analysis in cementitious systems are reviewed. This review aims to assist researchers in selecting the most appropriate strategy for SEM‐EDS analysis to quantify phase assemblage, elucidate environmental interactions, and investigate microstructure evolution in cementitious systems. The fundamental concepts related to equipment, signal generation, acquisition of diverse EDS data are first presented. Subsequently, various analysis approaches, including point analysis, grid analysis, and mapping analysis are discussed. This review then emphasizes the practical significance and potential value of SEM‐EDS analysis in addressing phase quantification challenges pertaining to cementitious systems. It is posited that the SEM‐EDS analysis holds the promise of becoming the characterization backbone for quantitative research on cementitious systems.

Exercise in Pediatric COVID-19: A Randomized Controlled Trial.

Purpose: This study assessed the impact of a 12-week, home-based exercise training (HBET) program on health-related quality of life (HRQOL, primary outcome), cardiovascular and metabolic parameters in pediatric COVID-19 patients.Methods: In this single-center, randomized controlled trial conducted in Sao Paulo (Brazil) from October 2020 to January 2022, 32 patients (mean age 12 ± 3.3 years; median 4 months [range: 0.7-6.6] between COVID-19 diagnosis [n = 25 mild, n = 4 moderate, n = 3 severe illness] and study entry) from a tertiary hospital were randomly assigned to either HBET or standard of care (CONTROL) in a 2:1 ratio. The HBET group underwent supervised and unsupervised sessions 3 times/week for 12 weeks emphasizing aerobic and bodyweight exercises and the CONTROL group received standard care which included general advice for a healthy lifestyle with no prescribed exercise intervention. HRQOL (Pediatric Quality of Life Inventory [PedsQL], cardiopulmonary exercise test (CPET), brachial flow-mediated dilation (b-FMD) and echocardiography assessments were conducted in both groups. Statistical analysis was performed using an intention-to-treat approach (ITT) for the primary analysis and complete-case (per-protocol) as sensitivity analysis and significance was set at P ≤ 0.05 (P ≤ 0.10 were considered as trend).Results: There was no difference in HRQOL between groups. Intention-to-treat analysis showed a trend toward increased VO2 at anaerobic threshold at post-intervention for the HBET group. Additionally, a sensitivity analysis showed significant changes in peak HR, HRR1min, RER and chronotropic response and tendency towards significance in VE/MVV and chronotropic response for the HBET group. No other between-group differences were detected for CPET, b-FMD and echocardiography variables (all p > 0.05).Conclusions: In this RCT, a 12-week HBET intervention did not impact HRQOL in pediatric COVID-19 patients. However, HBET led to greater improvements in VO2 VAT, heart rate peak and one-minute recovery and in chronotropic response with no changes in other cardiovascular parameters. Further studies are needed to explore the effects of exercise on the recovery of pediatric COVID-19 patients with persistent COVID-19 symptoms.

Capabilities toward adoption of outcome-based contracts

PurposeManufacturing enterprises have started to offer the “outcome” derived from machines with the help of outcome-based contracts (OBCs). Offering OBCs leads to benefits such as increased revenues, stronger customer relationships and sustainability. However, implementing OBCs requires critical capabilities. Existing literature has focused on identifying these necessary capabilities, but the prioritization and interrelationships among them remain unexplored. This study aims to address this gap.Design/methodology/approachOur study employs a hybrid analytical hierarchy process and interpretative structural modeling approach to prioritize and map interrelationships among OBC-related capabilities within small and medium-sized enterprises (SMEs).FindingsThe findings highlight the importance of digitalization capabilities such as data privacy and security, remote monitoring, and data analytics; and organizational and governance capabilities, including quantifying, controlling, and monitoring risks, teamwork, and leadership, are highlighted.Research limitations/implicationsWe quantitatively prioritize OBC capabilities and establish their level-wise structural interrelationships, which will facilitate a more effective and efficient implementation of OBCs. Due to the emergent nature of OBCs, our study could identify just one SME case company meeting our selection criteria.Originality/valueExisting OBC literature focusses on the design of OBCs in large companies. Similarly, earlier capability-related OBC literature is oriented toward identifying the OBC capabilities to perform specific functions. However, in the current study, we propose a systematic decision-making approach that comprehensively prioritizes and identifies the interrelationships among the capabilities necessary to provide OBCs, thus complementing the existing scientific literature on OBCs. In addition, we focus on SMEs, that have specific limitations and characteristics.

ADEQUATE ASSESSMENT OF COMPETITIVE ADVANTAGES THROUGH PORTER’S DIAMOND. APPLICATION TO BULGARIAN NON-FERROUS METALLURGY

The topics of competitive advantages and competitive strategies of the enterprise in the wine sector are becoming more and more relevant these days, given the fact that most enterprises operate under conditions of high competition and minimal amount of resources. Competitive advantages and competitive strategies are precisely one of the main processes that make the enterprise profitable, successful and profitable. The main objective of the present paper is to examine the importance of competitive advantages and competitive strategies for the metallurgical enterprise. An adequate assessment of competitive advantages through Porter’s Diamond Model involves analyzing the four key elements - factor conditions, demand conditions, related and supporting industries, and firm strategy, structure, and rivalry - along with the roles of government and chance. Applying this model to Bulgarian non-ferrous metallurgy, which includes industries producing metals like aluminum, copper, zinc, and lead, can help to assess the competitive position of the sector in the global and European markets. The main research methods used in the development are content analysis, comparison method, intuitive and systematic approach, analysis and synthesis method.

Innovative machine learning for drilling fluid density prediction: a novel central force search-adaptive XGBoost in HPHT environments

Oil and gas industries are facing a special dilemma when it comes to high-pressure, high-temperature (HPHT) drilling as the accurate forecasting of the drilling fluid density (DFD) is a vital factor for safe and efficient operations. Complicated relationships and inconsistencies in HPHT situations are rarely mapped by current forecasting models, while their buggy performance and safety risks during drilling can be underestimated. In this research, we propose a novel machine learning (ML) approach to enhance the accuracy of DFD anticipation under HPHT conditions: central force search-adaptive extreme gradient boosting (CFS-XGB). This paper uses a dataset that has drilling variables together with the DFD for HPHT situations to examine the accuracy of the CFS-XGB model. Excluding the abnormalities of data or mistakes, the reliability of the original data is maintained by applying min–max normalization. After that, finding the important features with the help of the boosted principal component analysis (BPCA) approach to the normalized data will ensure a major improvement in the CFS-XGB methodology’s prediction efficacy. This research is experimented in the Python platform, and the performance of the proposed CFS-XGB method is analyzed in terms of MSE, R2, and AAPRE metrics. The suggested approach performs better than the current methods in forecasting the drilling fluid concentration in HPHT settings, according to the experimental data. This development in predictive modeling helps increase the productivity and safety of drilling operations, which will eventually help the oil and gas sector manage the challenges posed by HPHT drilling settings.

Covid-19 pandemic and its economic and psychological impacts on Saudi workers: An empirical study in the kingdom of Saudi Arabia

Background: The COVID-19 pandemic has had a substantial economic and psychological impact on workers in Saudi Arabia. The objective of the study was to assess the effects of the COVID-19 epidemic on the financial and mental well-being of Saudi employees in the Kingdom of Saudi Arabia. Purpose: The COVID-19 epidemic has resulted in significant economic and societal ramifications. Current study indicates that the pandemic has not only precipitated an economic crisis but has also given rise to several psychological and emotional crises. This article provides a conceptual examination of how the pandemic impacts the economic and mental health conditions of Saudi workers, based on contemporary Structural Equation Modeling (SEM) models. Method: The current study employed a qualitative methodology and utilized a sample survey strategy. The data was gathered from Saudi workers residing in major cities of Saudi Arabia. The samples were obtained from professionals such as managers, doctors, and engineers, as well as non-professionals like unskilled and low-skilled laborers, who are employed in various public and private sectors. A range of statistical tools, including Descriptive statistics, ANOVA, Pearson’s Correlation, Factor analysis, Reliability test, Chi-square test, and regression approach, were employed to analyze and interpret the results. Result: According to the data, the pandemic has caused a wide range of economic problems, including high unemployment and underemployment rates, income instability, and different degrees of pressure on workers to find work. Feelings of insecurity (about food and environmental safety), worry, dread, stress, anxiety, depression, and other mental health concerns have been generated by these challenges. The rate of mental health decline differs among demographics. Conclusions: The COVID-19 pandemic has universally affected all aspects of our lives worldwide. It resulted in an extended shutdown of educational institutions, factories, offices, and businesses. Without a question, it has profoundly transformed the work environment, professions, and lifestyles of billions of individuals worldwide. There is a high occurrence of poor psychological well-being among Saudi workers. However, it has been demonstrated that both economic health and mental health interventions can effectively alleviate the mental health burden in this population.

Technical efficiency of sugarcane farming in East Java, Indonesia: A bootstrap data envelopment analysis

Abstract Sugarcane is an essential commodity in Indonesia. However, climate change negatively affects the sugarcane production efficiency. This study aims to measure the technical efficiency of sugarcane farming using a bootstrap data envelopment analysis (DEA) approach, compare the efficiency of irrigated and rain-fed sugarcane farming, and determine the factors affecting the technical efficiency of sugarcane farming in East Java, Indonesia. Primary data were collected from 451 sugarcane farmers during the 2020–2021 planting season. The results indicate that the “bias-corrected” technical efficiency scores of the single- and double-bootstrap approach (0.624 and 0.561) were lower than that of conventional DEA (0.714). The efficiency score of irrigated sugarcane farms (0.593) was higher than that of rain-fed farms (0.529). Moreover, the farmers’ age, household size, dependency, farming experience, training, subsidies, crop diversification, and access to irrigation impacted sugarcane farming’s technical efficiency. Improvement of 1% in training, irrigation access, and subsidies increased the technical efficiency by 0.034, 0.032, and 0.030, respectively. This strategy is expected to enhance the productivity and technical efficiency and reduce the poverty in rural households in East Java.

Dust mass in protoplanetary disks with porous dust opacities

Atacama Large Millimeter/submillimeter Array surveys have suggested that protoplanetary disks are not massive enough to form the known exoplanet population, based on the assumption that the millimeter continuum emission is optically thin. In this work, we investigate how the mass determination is influenced when the porosity of dust grains is considered in radiative transfer models. The results show that disks with porous dust opacities yield similar dust temperatures, but systematically lower millimeter fluxes, as compared to disks that incorporate compact dust grains. Moreover, we have recalibrated the relation between dust temperature and stellar luminosity for a wide range of stellar parameters. We also calculated the dust masses of a large sample of disks using the traditionally analytic approach. The median dust mass from our calculation is about six times higher than the literature result, and this is mostly driven by the different opacities of porous and compact grains. A comparison of the cumulative distribution function between disk dust masses and exoplanet masses shows that the median exoplanet mass is about two times lower than the median dust mass when grains are assumed to be porous and there are no exoplanetary systems with masses higher than the most massive disks. Our analysis suggests that adopting porous dust opacities may alleviate the mass budget problem for planet formation. As an example illustrating the combined effects of optical depth and porous dust opacities on the mass estimation, we conducted new IRAM/NIKA-2 observations toward the IRAS\,04370+2559 disk and performed a detailed radiative transfer modeling of the spectral energy distribution (SED). The best-fit dust mass is roughly 100 times higher than the value given by a traditionally analytic calculation. Future spatially resolved observations at various wavelengths are required to better constrain the dust mass.

Biomechanical perspectives on college students’ psychological well-being and their impact on academic performance

Academic performance among college students is prejudiced by a complex interplay of psychological well-being, physical activity, and biomechanical health. While previous research has often focused on individual factors such as mental health or physical activity, there is a growing need for an integrative approach to understand how these elements interact and collectively impact academic performance. This study aims to explore these relationships among 126 students from four universities in China, using a comprehensive methodology that includes psychological assessments (GHQ-28, PSS, MHI), wearable activity trackers for physical activity and sleep monitoring, and biomechanical evaluations through motion capture and electromyography (EMG). The study adopts a multi-faceted analytical approach, including hierarchical regression, path analysis, and latent variable modelling. Hierarchical regression revealed that psychological factors alone explained 21.1% of the variance in GPA (R2 = 0.211), while adding biomechanical and physical activity factors increased the explanatory power to 35.0% (R2 = 0.350). Path analysis indicated that psychological well-being had a direct negative effect on academic performance (β = −0.41, p < 0.001) and an indirect effect mediated through physical activity (indirect β = −0.089, p = 0.0021). Latent variable modelling demonstrated that psychological well-being, physical activity, and biomechanical health constructs collectively explained 52% of the variance in academic performance.

A multimodal understanding of the role of sound and music in gendered toy marketing.

Literature in music theory and psychology shows that, even in isolation, musical sounds can reliably encode gender-loaded messages. Musical material can be imbued with many ideological dimensions and gender is just one of them. Nonetheless, studies of the gendering of music within multimodal communicative events are sparse and lack an encompassing theoretical framework. The present study attempts to address this literature gap by employing a critical quantitative analysis of music in gendered toy marketing, which integrated a content analytical approach with multimodal affective and music-focused perceptual responses. Ratings were collected on a set of 606 commercials spanning a ten-year time frame and strong gender polarization was observed in nearly all of the collected variables. Gendered music styles in toy commercials exhibit synergistic design choices, as music in masculine-targeted adverts was substantially more abrasive-louder, more inharmonious, and more distorted-than in feminine-targeted ones. Thus, toy advertising music appeared deliberately and consistently in line with traditional gender norms. In addition, music perceptual scales and voice-related content analytical variables explain quite well the heavily polarized affective ratings. This study presents a empirical understanding of the gendering of music as constructed within multimodal discourse, reiterating the importance of the sociocultural underpinnings of music cognition. We provided a public repository with all code and data necessary to reproduce the results of this study on github.com/marinelliluca/music-role-gender-marketing.

Decoding the possible mechanism of action of Paeoniflorigenone in combating Aflatoxin B1-induced liver cancer: an investigation using network pharmacology and bioinformatics analysis

Moutan cortex has demonstrated antitumor properties attributed to its bioactive compound Paeoniflorigenone (PA). Nevertheless, there is limited research on the efficacy of PA in the prevention and treatment of hepatocellular carcinoma (HCC). We aimed to investigate the potential pharmacological mechanisms of PA in the treatment of Aflatoxin B1 (AFB1)-induced hepatocarcinogenesis using network pharmacology and bioinformatics analysis approaches. Through various databases and bioinformatics analysis approaches, 34 shared targets were identified as potential candidate genes for PA in fighting liver cancer caused by AFB1. Pathway analysis revealed involvement in cell cycle, HIF-1, and Rap1 pathways. A risk assessment model was developed using LASSO regression, showing an association between the identified genes and the tumor immune microenvironment. The genes within the risk model were found to be linked to the immune response in liver cancer. Molecular docking studies indicated that PA interacts with its targets through hydrogen bonding and hydrophobic interactions. This study provides insights into the possible mechanisms of PA in liver cancer treatment and offers a predictive model for assessing the risk level of individuals with liver cancer. These findings have significant implications for the therapeutic strategies in managing liver cancer patients.

‘Coping in practice’: a qualitative exploration of psychological resilience among paediatric physiotherapists

Purpose The importance of improving psychological resilience among healthcare workers to protect individuals, support the delivery of quality patient care, and safeguard health system functioning is well documented. While research has explored many aspects of psychological wellbeing across various healthcare worker populations, it is unclear how physiotherapists view and experience psychological resilience and stress in the workplace. This study aimed to explore how paediatric physiotherapists described resilience, how stress in the workplace affected their ability to provide services, and the methods used to cope with pressures and stress. Methods A cross-sectional, qualitative approach was adopted. Semi-structured interviews were conducted with 22 paediatric physiotherapists working in the Republic of Ireland. The transcripts were analysed using a deductive content analysis approach. Results Five themes arose from the interviews. These were ‘The Nature of Resilience’(summarised many physiotherapist’s perceptions that resilience was ‘coping’ with difficulties in the workplace), ‘Challenges of the Profession’ (described parts of their roles as physiotherapists that contributed to stress)’, Job-Related Gratification’(described the aspects of the role that strengthens resilience), ‘Resilience Strategies (Protective Practices)’(described the actions and activities used by physiotherapists to cope with stressors in the workplace), and ‘Resilience Strategies (Attitudes)’(summarised the attitudes used to safeguard against workplace stress). Conclusions This study evaluated paediatric physiotherapists’ experiences of resilience from a personal and organisational perspective. This study suggests this population shares its understanding of resilience with other healthcare professions. The findings of this research highlights the necessity for additional investigation into methods used by paediatric physiotherapists to cope with workplace stressors.

Social Media Data Mining in Public Relations Research

ABSTRACT Data mining represents a suite of data collection, management, and analysis approaches to elicit novel findings from large behavioral data sets. Prior to collecting data, researchers should define the population and consider whether a sample is sufficient. Especially large data sets may require sophisticated data management approaches such as database architectures. Computational resources likewise facilitate an array of cross-sectional and longitudinal analyses. While data mining is not appropriate for every research problem, it constitutes an invaluable set of research techniques that is well-suited to the online domain, making it a vital resource for PR researchers to employ in the future.

Analisis Kelayakan Usaha dan Nilai Tambah Olahan Kedelai Menjadi Tempe pada UMKM Super Murni Kecamatan Bekasi Selatan Kota Bekasi

Agriculture plays an important role in providing food sources that support the survival of society. The growth of the agro-industrial sector not only provides economic benefits for businesses but also contributes to improving the welfare of farmers and the sustainability of the agricultural sector as a whole. Soybean as a multifunctional crop can be utilised to make various culinary delights including tempeh, a traditional Indonesian food. The main objective of this study, conducted by Super Murni MSME, is to evaluate the added value contributed in one production and the business feasibility of tempe production at Super Murni MSME. By considering prices, inputs, and outputs, a value-added analysis approach using the Hayami method and R/C ratio is needed to determine the feasibility of the company. The results showed that the added value required by Super Murni MSMEs in one production of tempe geblekan reached IDR 23,072 or around 61%, using the value-added ratio, the margin obtained reached IDR 21,348 for tempe geblekan. As for tempe lonjoran, the added value is IDR 35,372 or around 71%, with a profit of IDR 31,205. The calculation of business feasibility using the R/C ratio shows a figure of 1.25 for tempe geblekan which indicates that the Company can develop based on the R/C ratio criteria and an R/C ratio of 1.00 for tempe lonjoran which indicates that this business can be developed because it does not experience losses or profits (break-even) to be operated.

Exploring clinician perspectives of systems-based practice: A physician training challenge.

Systems-based practice (SBP) has been a competency in US graduate medical education for over 20 years, but it is not well implemented. SBP is loosely defined as physician's responsiveness to the larger system of healthcare. The aim of this study was to describe healthcare professionals' perspectives regarding: (1) their knowledge and beliefs about SBP and (2) their beliefs regarding factors in clinical learning environments (CLE) that facilitate or hinder operationalisation and learning of SBP. Semi-structured interviews were conducted between November 2020 and April 2021 with 42 individuals from four health systems. Participants were healthcare professionals involved in graduate medical education, including physicians and interprofessional clinicians (e.g., nursing staff). Interviews were transcribed and coded using a social constructivist, codebook thematic analysis approach and themes were agreed upon through discussion amongst the research team. Five themes were constructed: (1) SBP remains a challenge to define, (2) SBP may be intuitively understood, particularly when framed at the microsystem level, (3) SBP aligns with the Health Systems Science framework, (4) SBP learning must be intentionally integrated into the CLE, through training such as onboarding and (5) multidisciplinary settings and work processes are critical to engage in SBP. Workload compression is a barrier to SBP implementation. Healthcare professionals highlighted that current CLEs are not designed to prioritise SBP. Graduate medical education programmes may benefit from focusing systems content at the microsystem level and purposefully integrating onboarding procedures, clinical settings and rotations specifically designed to teach SBP into their residencies.

The Investigation of Ideological Representations in Subtitling: A Critical Discourse Analysis Approach

The present study investigates how ideologically-laden words and expressions are subtitled from English into Arabic by taking into account various translation strategies and lexical choices. It also sheds light on the role of the subtitler in this ideologically-constructed transfer. For this purpose, a mixed methods approach is followed to analyze and calculate the occurrence of the selected words and expressions from English movies and their Arabic subtitles by adopting the eclectic model of Farahzad’s critical discourse analysis model (2011), and Baker’s (2011) and Pedersen’s (2011) translation strategies. The results of the study show that the subtitlers try to convey different ideologies from the ones presented in the original dialogues by depicting Muslim characters as negative individuals and American characters as positive individuals who are saviors and defenders. This is revealed through omission, translation by more expressive words, addition, and generalization. The findings further highlight that the subtitlers attempted to match the subtitles to the religious beliefs of the target viewers through cultural substitution. Regarding shifts of agency or participants, the subtitlers employed addition by adding action verbs in the subtitles to change the meaning of the sequence or to alter the focus toward specific agents by using different pronouns. The study thereof shows the role of the subtitler as an unfaithful transmitter of reality in the subtitles.