Practical Issues Research Articles

Fibrous Material Structure Developments for Sustainable Heterogeneous Catalysis – An Overview

AbstractThe continuous development of advanced catalysts to increase process yield and selectivity is crucial. A high specific surface area and a good active phase dispersion are generally essential to create catalytic materials with a large number of active sites. Notably, materials with a fibrous morphology are appealing because of their large surface‐to‐volume ratio and flexibility. This contribution highlights the morphology of different types of fibrous structures currently under investigation, all the way from the nanoscale to the macroscale and back, where the distinction lies in the length and diameter of the fibers, as well as in the connection between the structures. Fibers with at least one submicron to nanoscale characteristic result in a higher yield, but can display practical usability issues when unbound. Therefore, fibrous structure catalysts with a balance between the small diameter and handleability are important for industrial viability. By combining different morphologies, the best of both nanomaterials and macroscopic integer materials can be combined into advanced catalytic materials. This overview showcases the large potential of these materials but makes clear that further research is needed to keep expanding the use and effectiveness of fibrous structures in catalysis.

Role of Artificial Intelligence in Global Finance

Artificial Intelligence (AI) has become an integral part of every financial sector. It is found to be the key player in the banking and other financial service institutions. More than 80 percent of banks have understood the potential benefits of application of AI in the industry. The use of AI in financial institutions helps to resolve the practical issues in taking financial decisions. The aim of this paper is to understand the applicability of Artificial Intelligence in financial sector and to study the uses of AI in financial credit decisions and risk management.

Recombinations, chains and caps: resolving problems with the DCJ-indel model

One of the most fundamental problems in genome rearrangement studies is the (genomic) distance problem. It is typically formulated as finding the minimum number of rearrangements under a model that are needed to transform one genome into the other. A powerful multi-chromosomal model is the Double Cut and Join (DCJ) model.While the DCJ model is not able to deal with some situations that occur in practice, like duplicated or lost regions, it was extended over time to handle these cases. First, it was extended to the DCJ-indel model, solving the issue of lost markers. Later ILP-solutions for so called natural genomes, in which each genomic region may occur an arbitrary number of times, were developed, enabling in theory to solve the distance problem for any pair of genomes. However, some theoretical and practical issues remained unsolved. On the theoretical side of things, there exist two disparate views of the DCJ-indel model, motivated in the same way, but with different conceptualizations that could not be reconciled so far. On the practical side, while ILP solutions for natural genomes typically perform well on telomere to telomere resolved genomes, they have been shown in recent years to quickly loose performance on genomes with a large number of contigs or linear chromosomes. This has been linked to a particular technique, namely capping. Simply put, capping circularizes linear chromosomes by concatenating them during solving time, increasing the solution space of the ILP superexponentially. Recently, we introduced a new conceptualization of the DCJ-indel model within the context of another rearrangement problem. In this manuscript, we will apply this new conceptualization to the distance problem. In doing this, we uncover the relation between the disparate conceptualizations of the DCJ-indel model. We are also able to derive an ILP solution to the distance problem that does not rely on capping. This solution significantly improves upon the performance of previous solutions on genomes with high numbers of contigs while still solving the problem exactly and being competitive in performance otherwise. We demonstrate the performance advantage on simulated genomes as well as showing its practical usefulness in an analysis of 11 Drosophila genomes.

Racial and Ethnic Disparities in COVID-19 Treatments in the United States.

Racial and ethnic disparities in patient outcomes following COVID-19 exist, in part, due to factors involving healthcare delivery. The aim of the study was to characterize disparities in the administration of evidence-based COVID-19 treatments among patients hospitalized for COVID-19. Using a large, US hospital database, initiation of COVID-19 treatments was compared among patients hospitalized for COVID-19 between May 2020 and April 2022 according to patient race and ethnicity. Multivariate logistic regression models were used to examine the effect of race and ethnicity on the likelihood of receiving COVID-19 treatments, stratified by baseline supplemental oxygen requirement. The identified population comprised 317,918 White, 76,715 Black, 9297 Asian, and 50,821 patients of other or unknown race. There were 329,940 non-Hispanic, 74,199 Hispanic, and 50,622 patients of unknown ethnicity. White patients were more likely to receive COVID-19 treatments, and specifically corticosteroids, compared to Black, Asian, and other patients (COVID-19 treatment: 87% vs. 81% vs. 85% vs. 84%, corticosteroids: 85% vs. 79% vs. 82% vs. 82%). After covariate adjustment, White patients were significantly more likely to receive COVID-19 treatments than Black patients across all levels of supplemental oxygen requirement. No clear trend in COVID-19 treatments according to ethnicity (Hispanic vs. non-Hispanic) was observed. There were important racial disparities in inpatient COVID-19 treatment initiation, including the undertreatment of Black patients and overtreatment of White patients. Our new findings reveal the actual magnitude of this issue in routine clinical practice to clinicians, policymakers, and guideline developers. This is crucial to ensuring equitable and appropriate access to evidence-based therapies.

Life and growth of the Thirteen Marxist Feminist Theses

The fourth international Marxist feminist conference was the most international and best attended with around 700 participants, including Silvia Federici, Nancy Fraser, Tithi Bhattacharya, Lorena Cabnal, Ochy Curiel, Ana Cecilia Dinerstein, Elsa Dorlin, Jules Falquet, and Frigga Haug. The main themes of the panels established continuity with the previous conferences, from debates on intersectionality which overlap in various fields with practical and theoretical issues such as value, the state, law, care, production, and social reproduction to those that were closely linked to the thinking of new organizations and repertoires of struggle. This Special Issue is based on the plenary titled: the Thirteen Theses of Marxist Feminism. Frigga Haug, the author of The Thirteen Theses, considers all of them in her opening interview. The most widely debated theses by the Special Issue contributors are Theses I, II, and III on relations of production and the production of the means of life followed by theses from V to VIII which deal with intersectionality and how to study race, class and gender, the role of labor movement in the process of emancipation, and the issue of primary and secondary contradictions which is closely related to the development of an effective political emancipatory subject. The Special Issue closes with an interview with the philosopher Nancy Fraser on the three faces of labor.

Responding to ‘wicked problems’: policy and governance on drug-related deaths in English and Welsh prisons, 2015-2021

BackgroundPrison settings have been neglected in the growing literature on drug-related deaths. This paper explores policy and practice issues regarding the governance of drug-related deaths in prisons in England and Wales from 2015-2021. MethodsThematic documentary analysis was conducted on national level policy documents published between 2015-2021 (e.g. drug strategies, prison policy documents, Her Majesty's Inspectorate of Prisons and Prison and Probation Ombudsman (PPO) annual reports and guidance for staff). At the local (prison) level, all of the PPO fatal investigation reports and their associated action plans relating to 171 drug-related deaths from 2015-2021 were analysed thematically. Various modes of governance were identified using Head's ‘wicked problems’ conceptual framework including avoidance and denial, coercive controls, compartmentalised micro-management, incremental and pragmatic adjustment and technocratic problem-solving. ResultsThere was strong evidence of the dominance of denial of the problem of drug-related deaths, coercive controls, micro-management and reliance on technological solutions in the early years (2015-2018). In some prisons, there developed a move towards the adoption of more pragmatic and incremental policies and push towards comprehensive policies over time. In others, remnants of denial and coercion remained. In our analysis, the focus on new psychoactive substances came to dominate attention, to the relative neglect of other substances and of the contribution of mental and physical illness to these deaths. Staff are not equipped, supported or resourced adequately to deal with the two ‘wicked problems’ of increasing rates of drug use and mental illness which collide in the prison setting. ConclusionThe PPO investigations repeatedly recommend reducing supply and improving monitoring and surveillance and the emergency response. There is less focus on prevention and reducing demand or improving the wider environmental context and culture in which the deaths occur. Policy needs to pay more attention to the fundamental issues driving the current deterioration in conditions in prisons.

Ethical Challenges in Journalism Practice: Balancing Media Ownership Interests and Public Responsibility

Ownership plays a pivotal role in the regulation of mass media, often presenting media managers with the delicate task of balancing the interests of media owners and the public, while adhering to legal and ethical standards. Journalists, like professionals in other fields, adhere to a code of ethics that outlines moral principles, guidelines, and rules governing their conduct and interactions with the public. Ethical challenges are pervasive in journalism, both globally and in Nigeria, requiring journalists to navigate complex decisions regarding their behavior and their interactions with various stakeholders. This study examines ethical issues in journalism practice and the challenges faced by journalists. It suggests that addressing the challenges stemming from media ownership requires greater press freedom. This would empower reporters and editors in government-owned media organizations to work without fear of reprisal from owners, while also enabling private media owners to operate without the fear of government interference. Keywords: Ethical challenges, Journalism practice, media ownership, Press freedom, public responsibility

Using collaborative autoethnography to investigate mentoring relationships for novice engineering education researchers

Abstract Background The National Science Foundation Research Initiation in Engineering Formation (RIEF) program aims to increase research capacity in the field by providing funding for technical engineering faculty to learn to conduct engineering education research through mentorship by an experienced social science researcher. We use collaborative autoethnography to study the tripartite RIEF mentoring relationship between Julie, an experienced engineering education researcher, and two novice education researchers who have backgrounds in biomedical engineering—Paul, a biomedical engineering faculty member and major professor to the second novice, Deepthi, a graduate student. We ground our work in the cognitive apprenticeship model and Eby and colleagues’ mentoring model. Results Using data from written reflections and interviews, we explored the role of instrumental and psychosocial supports in our mentoring relationship. In particular, we noted how elements of cognitive apprenticeship such as scaffolding and gradual fading of instrumental supports helped Paul and Deepthi learn qualitative research skills that differed drastically from their biomedical engineering research expertise. We initially conceptualized our tripartite relationship as one where Julie mentored Paul and Paul subsequently mentored Deepthi. Ultimately, we realized that this model was unrealistic because Paul did not yet possess the social science research expertise to mentor another novice. As a result, we changed our model so that Julie mentored both Paul and Deepthi directly. While our mentoring relationship was overall very positive, it has included many moments of miscommunication and misunderstanding. We draw on Lent and Lopez’s idea of relation-inferred self-efficacy to explain some of these missed opportunities for communication and understanding. Conclusions This paper contributes to the literature on engineering education capacity building by studying mentoring as a mechanism to support technically trained researchers in learning to conduct engineering education research. Our initial mentoring model failed to take into account how challenging it is for mentees to make the paradigm shift from technical engineering to social science research and how that would affect Paul’s ability to mentor Deepthi. Our experiences have implications for expanding research capacity because they raise practical and conceptual issues for experienced and novice engineering education researchers to consider as they form mentoring relationships.

Practical Jsc Limits for SHJ Devices: Insights From Modelling

Modern industrial silicon heterojunction (SHJ) solar cells are increasingly limited by the short-circuit current density (Jsc) and there is a strong interest in understanding how much novel approaches such as window layers, novel transparent conductive oxides (TCOs) and anti-reflection coatings (ARCs) could improve the Jsc of SHJ solar cells. In this work, the practical Jsc limits of SHJ solar cells are determined using a carefully calibrated ray-tracing model, validated using empirical data from in-house solar cells as well as recently published high-efficiency front-and-back contacted (FAB) SHJ solar cells. The model is then further refined to obtain a detailed Jsc loss breakdown of the latest record efficiency FAB SHJ solar cells, for which there are no published Jsc loss breakdowns. Notable advances made in these advanced solar cells with regards to window layers, TCOs and ARCs at the cell level are analysed. Based on the magnitude of impact on the solar cell Jsc, the most critical factors for achieving high-Jsc SHJ solar cells are identified and ranked. Allowing for additional improvements and combining the best approaches identified, an estimate of the practical upper limit of Jsc for FAB SHJ solar cells is determined to be 41.81 mA/cm2. This work serves as a useful reference for the current state of play for Jsc improvements in SHJ solar cells, and highlights practical pathways and issues for improving commercial SHJ solar cells.

Perceptions of surveillance with magnetic resonance imaging among women with a hereditary risk of breast cancer-A phenomenographic study.

To explore perceptions of annual surveillance with magnetic resonance imaging and perceptions of care during the examination among women with a hereditary risk of breast cancer. Phenomenography. Fourteen face-to-face interviews using a semi-structured interview guide were conducted among women undergoing surveillance in the southern region of Sweden. A seven-step phenomenographic analysis with investigator triangulation was performed. 'Considering own risk of developing breast cancer', 'Entrusting oneself to surveillance' and 'Living in a cycle' represented descriptive categories of perceptions. Family narratives introduced comprehension of own risk of breast cancer, followed by appraisal of own benefits of participating in surveillance. Entrusting oneself to surveillance included handing over management of diagnostic examinations and dealing with practical issues and diverse emotions related to surveillance. Planning life based around surveillance, struggling with fluctuating emotions, also between the examinations and questioning own identity implied the perception of living in a cycle. Surveillance for hereditary breast cancer implies living in a cycle of dealing with fluctuating emotions and planning life based around surveillance. Comprehension of one's own risk for breast cancer arises from awareness in the family. Women value the surveillance programme and trust the healthcare system. Knowledge of women's perceptions of the surveillance programme and care is vital for supporting women in their decision-making on attendance and providing person-centred care during surveillance. A gap in explorative studies from the perspective of the individual woman in the context of surveillance for breast cancer and care in magnetic resonance imaging in surveillance was addressed. 'Considering own risk of developing breast cancer', 'Entrusting oneself to surveillance' and 'Living in a cycle' represented women's perceptions of surveillance and care. The study results have implications for person-centred care among women in the surveillance programme. No patient or public contribution.

How generative artificial intelligence has blurred notions of authorial identity and academic norms in higher education, necessitating clear university usage policies

PurposeThis study examines the impact of generative artificial intelligence (GenAI), particularly ChatGPT, on higher education (HE). The ease with which content can be generated using GenAI has raised concerns across academia regarding its role in academic contexts, particularly regarding summative assessments. This research makes a unique contribution to the literature by examining university student and staff perceptions of current and future issues pertaining to the role of GenAI in universities.Design/methodology/approachA qualitative method involving five one-to-one semi-structured interviews with four students and a lecturer explored the ethical and practical issues of GenAI text generation in academia. An inductive thematic analysis was chosen as it provided nuanced insights aligned with the study’s goals.FindingsUse of GenAI was discussed within the context of a range of topics, including perceptions of academic misconduct, authorial integrity and issues pertaining to university policies. Participants universally defined traditional classifications of academic misconduct but were unable to provide clear definitions where the use of GenAI was included for writing summative assessments. Students showed a more open engagement with GenAI, considering it a tool for overcoming obstacles rather than a means to plagiarise. Educators were generally more cautious and less optimistic about the academic role of GenAI. Lack of clear institutional policies surrounding such tools also contributed to ethical ambiguities.Originality/valueThe study highlights diverging perspectives between students and academics, which necessitate a forum for dialogue, ensuring the need to develop clear policies to steer the integration of GenAI in a manner that is beneficial for students and academics.

法學專家、蘇州商人團體與清代中國的「習慣法」問題

Scholars have debated whether “customary law” existed in Qing Dynasty China, leading to different stands and arguments between “societal-centric” and “legal-centric” views. This issue involves disputes in the definition of terms and the recognition of historical facts by researchers. This paper primarily focuses on some commercial litigation cases in the Jiangnan region (the Lower Yangzi Delta) of the Qing Dynasty, narrowing the issue of “customary law” to the evolution of the interaction between Qing Dynasty commercial customs and national law. The paper argues that while we may not need to describe this evolution in terms of “customary law” as understood in European legal scholarship, we should not overlook the specific processes in various industrial and commercial towns of the time, where “customary practices” transformed into “customary rules”. Keywords: Merchant Groups, Legal Experts, Customary Rules, Customary Law

Acquisition of representative objects and attribute reductions based on generalized decisions of dominance-based rough set approach

Dominance principles play a pivotal role in decision makings, in which the superior the object performs on criteria, the higher the object will be assigned by decision attributes. In practical issues, the result of decision makers is influenced significantly because of the existence on redundant objects and attributes. However, little work studies the inconsistency of dominance principles caused by redundant objects. The proposed generalized decision aims to intuitively reveal the consistency of dominance principles. Since then, considerable attention has been devoted to accelerating attribute reductions in dominance-based rough sets. But there has been limited discussion on the semantic explanation of generalized decisions. This paper addresses this gap by introducing a graded information granule that not only explains the consistency of dominance principles but also facilitates the partitioning of the universe. Based on this foundation, several theoretical properties are thoroughly investigated. Moreover, we acquire a representative object set by applying a threshold to filter out objects with an extreme imbalance of dominance principles, and a final compact data set is generated with the best threshold by a particular parameter selection mechanism. Additionally, we design an attribute reduction method based on graded information granules using the compact data set. Furthermore, we employ numerical data sets to illustrate the effectiveness and efficiency of our method by running time and importance of reducts performed from the perspective of dominance-based rough sets and machine learning. Finally, the practicability of compact data sets is explained from the viewpoint of decision rules in dominance-based rough set approach.

The Application of High-Resolution, Embedded Fibre Optic (FO) Sensing for Large-Diameter Composite Steel/Plastic Pipeline Performance under Dynamic Transport Loads.

Distributed optical fibre sensing (DOFS)-based strain measurement systems are now routinely deployed across infrastructure health monitoring applications. However, there are still practical performance and measurement issues associated with the fibre's attachment method, particularly with thermoplastic pipeline materials (e.g., high-density polyethylene, HDPE) and adhesive affixment methods. In this paper, we introduce a new optical fibre installation method that utilises a hot-weld encapsulation approach that fully embeds the fibre onto the pipeline's plastic surface. We describe the development, application and benefits of the new embedment approach (as compared to adhesive methods) and illustrate its practical performance via a full-scale, real-world, dynamic loading trial undertaken on a 1.8 m diameter, 6.4 m long stormwater pipeline structure constructed from composite spiral-wound, steel-reinforced, HDPE pipe. The optical frequency domain reflectometry (OFDR)-based strain results show how the new method improves strain transference and dynamic measurement performance and how the data can be easily interpreted, in a practical context, without the need for complex strain transfer functions. Through the different performance tests, based on UK rail-road network transport loading conditions, we also show how centimetre- to metre-scale strain variations can be clearly resolved at the frequencies and levels consistent with transport- and construction-based, buried infrastructure loading scenarios.

The future of public sector accounting education: A structured literature review

ABSTRACT Public sector accounting education (PSAE) has recently attracted increasing attention from both scholars and practitioners. Nonetheless, there is still an education/practice gap that undermines public servants’ ability to face the complexity of the current working environment. This paper reviews and critiques the PSAE literature, identifies the main practical issues affecting the field, and outlines how education providers can improve formal and non-formal curricula and training. Results reveal that the exploratory nature of a large part of the PSAE research and the lack of a practical perspective able to bridge the gap between PSAE and the requirements in practice of the current public sector context demonstrate the pressing need to develop the topic and how it is investigated. The present review is one of the first attempts to investigate PSAE with a focus on the practical approaches that could be used for the development of graduates and public servants’ accounting competencies.

Improved Water Collection from Short-Term Fog on a Patterned Surface with Interconnected Microchannels.

Fog harvesting is considered a promising freshwater collection strategy for overcoming water scarcity, because of its environmental friendliness and strong sustainability. Typically, fogging occurs briefly at night and in the early morning in most arid and semiarid regions. However, studies on water collection from short-term fog are scarce. Herein, we developed a patterned surface with highly hydrophilic interconnected microchannels on a superhydrophobic surface to improve droplet convergence driven by the Young-Laplace pressure difference. With a rationally designed surface structure, the optimized water collection rate from mild fog could reach up to 67.31 g m-2 h-1 (6.731 mg cm-2 h-1) in 6 h; this value was over 130% higher than that observed on the pristine surface. The patterned surface with interconnected microchannels significantly shortened the startup time, which was counted from the fog contact to the first droplet falling from the fog-harvesting surface. The patterned surface was also facilely prepared via a controllable strategy combining laser ablation and chemical vapor deposition. The results obtained in outdoor environments indicate that the rationally designed surface has the potential for short-term fog harvesting. This work can be considered as a meaningful attempt to address the practical issues encountered in fog-harvesting research.

Not all faultlines are created equal: The heterogeneous impact of TMT faultlines on a firm's ESG disclosure

AbstractDriven by the theory of sustainable development, Chinese firms have gradually realized the importance of ESG disclosure. Executives play a core role in ESG decision‐making, but whether and how top management team (TMT) faultlines affect ESG disclosure has yet to be systematically discussed. Based on the attention‐based view and faultline theory, we select 6456 observations of 910 Chinese A‐share listed firms from 2012 to 2021 as the research object to empirically test the above critical practical issues that have not been fully answered. We find that TMT information‐based faultlines improve firms' ESG disclosure, but TMT social category faultlines reduce firms' ESG disclosure. In addition, the internal mechanism test showed that the TMT's future‐oriented attention plays a mediating role in the above relationship. Finally, we also find that institutional shareholding enhances the positive impact of the TMT's future‐oriented attention on ESG disclosure. This study enriches the literature on TMT faultlines and ESG disclosure, demonstrating that the composition of the TMT and its attention allocation are important factors for promoting firms' ESG disclosure. The conclusions of this study can help firms strengthen their ESG disclosure by building efficient TMTs and provide important implications for firms to better fulfill their ESG responsibilities.

Elements of the modern system of domestic financial control

Subject. This article deals with the theoretical and practical issues related to the construction of a domestic financial control system and the formation of its elements (components). Objectives. The article aims to determine the main features of the functioning and development of the domestic financial control system, identify the elements (components) of the proposed system with the justification for classifying them as types of control, develop a scheme of the financial control system pointing out input and output values, the target function, as well as determine the goals, objectives and principles of building a domestic financial control system. Methods. For the study, we used the systems and logical approaches, and the general scientific cognition methods. Results. On the basis of the categorical analysis, the article clarifies the main elements (components) of the modern system of domestic financial control, its goals, objectives and principles of construction. It also formulates the need to build a modern system of domestic financial control, determines the main features of its functioning and development, identifies the elements (components) of the proposed system with the justification for classifying them as types of control, offers an author-developed scheme of the financial control system pointing out input and output values, and the target function. Relevance. The results obtained can be used in the activities of control and audit offices, forensic units, audit organizations and tax authorities during examination, control and audit.

Identification of diagnostic model in heart failure with myocardial fibrosis and conduction block by integrated gene co-expression network analysis

BackgroundDespite the advancements in heart failure(HF) research, the early diagnosis of HF continues to be a challenging issue in clinical practice. This study aims to investigate the genes related to myocardial fibrosis and conduction block, with the goal of developing a diagnostic model for early treatment of HF in patients.MethodThe gene expression profiles of GSE57345, GSE16499, and GSE9128 were obtained from the Gene Expression Omnibus (GEO) database. After merging the expression profile data and adjusting for batch effects, differentially expressed genes (DEGs) associated with conduction block and myocardial fibrosis were identified. Gene Ontology (GO) resources, Kyoto Encyclopedia of Genes and Genomes (KEGG) resources, and gene set enrichment analysis (GSEA) were utilized for functional enrichment analysis. A protein-protein interaction network (PPI) was constructed using a string database. Potential key genes were selected based on the bioinformatics information mentioned above. SVM and LASSO were employed to identify hub genes and construct the module associated with HF. The mRNA levels of TAC mice and external datasets (GSE141910 and GSE59867) are utilized for validating the diagnostic model. Additionally, the study explores the relationship between the diagnostic model and immune cell infiltration.ResultsA total of 395 genes exhibiting differential expression were identified. Functional enrichment analysis revealed that these specific genes primarily participate in biological processes and pathways associated with the constituents of the extracellular matrix (ECM), immune system processes, and inflammatory responses. We identified a diagnostic model consisting of 16 hub genes, and its predictive performance was validated using external data sets and a transverse aortic coarctation (TAC) mouse model. In addition, we observed significant differences in mRNA expression of 7 genes in the TAC mouse model. Interestingly, our study also unveiled a correlation between these model genes and immune cell infiltration.ConclusionsWe identified sixteen key genes associated with myocardial fibrosis and conduction block, as well as diagnostic models for heart failure. Our findings have significant implications for the intensive management of individuals with potential genetic variants associated with heart failure, especially in the context of advancing cell-targeted therapy for myocardial fibrosis.

Assembling a global health image: Ethical and pragmatic tensions through the lenses of photographers.

Recently, global health has been confronting its visual culture, historically modulated by colonialism, racism and abusive representation. There have been international calls to promote ethicality of visual practices. However, despite this focus on the history and the institutional use of global health images, little is known about how in practice contemporary images are created in communities, and how consent to be in photographs is obtained. We conducted semi-structured interviews with 29 global health photographers about the ethical and practical challenges they experience in creating global health images, and thematically analysed the findings. The following themes were identified: (1) global health photography is undergoing a marketing transformation and images are being increasingly moderated; (2) photographers routinely negotiate stereotypical and abusive tropes purposefully sought by organisations; (3) local scenes are modified, enhanced and staged to achieve a desired marketing effect; (4) 'empowerment' is becoming an increasingly prominent dehumanising visual trope; (5) consent to be photographed can be jeopardised by power imbalances, illiteracy, fears and trust; (6) organisations sometimes problematically recycle images. This research has identified practical and ethical issues experienced by global health photographers, suggesting that the production cycle of global health images can be easily abused. The detected themes raise questions of responsibility and accountability, and require further transdisciplinary discussion, especially if promoting ethical photojournalism is the goal for 21st century global health.