Search Results (1,154)

Mistreatment is a pervasive and normalized feature of medical culture. In medical residencies, it functions as a structural rite of passage that shapes professional socialization. While the prevalence of mistreatment is documented, there is a lack of qualitative research exploring its role as a mechanism of identity construction. The aim of this study was to understand the experiences of mistreatment among internal medicine residents in Medellín, Colombia, through the lens of ritual theory and symbolic violence. A particularistic ethnographic study was conducted with 12 residents selected via theoretical sampling. Data were collected through semi-structured interviews and a reflexive field journal. Rigor was ensured using investigator triangulation and analytical bracketing to manage researchers’ biases. The training process follows a three-stage rite. (1) Separation: Symbolic violence and social pressure to specialize frame general medicine as “mediocre,” turning admission into a “battlefield” where self-worth is tied to success. (2) Marginalization (Liminality): Residents endure systemic mistreatment, including sleep deprivation (3.5 h rest cycles), public ridicule (“pimping”), and physical/verbal abuse (e.g., being hit with stethoscopes or called “testicles/jerks”). This stage is governed by a “purificatory logic” where suffering is internalized as a meritocratic requirement. This leads to high morbidity, with clinical diagnoses of anxiety and depression. (3) Integration (Postliminality): Professional autonomy and financial stability act as a “redemption” that justifies past suffering. Mistreatment is not an isolated interpersonal issue but a structurally embedded ritual and a core element of the hidden curriculum. It reinforces toxic hierarchies and a “tyranny of merit” that obscures structural barriers. These findings offer analytically transferable insights for global medical education, calling for a deconstruction of ritualized violence to foster more humanistic training environments. Full article

Background: Family-centered care (FCC) is a foundational principle in pediatric healthcare, yet its implementation in culturally specific contexts remains poorly understood. In Saudi Arabia, Islamic values, collective family structures, and gendered caregiving norms shape how mothers engage with pediatric intensive care in ways that existing Western-derived FCC models do not fully capture. The aim of this study was to explore Saudi mothers’ experiences of family-centered care during their children’s pediatric intensive care unit (PICU) admissions, focusing on perceived barriers, cultural negotiations, and evolving advocacy strategies. Methods: A qualitative descriptive study was conducted with 17 Saudi mothers whose children had been admitted to PICUs across major hospitals in Saudi Arabia within the preceding 12 months. Semi-structured interviews lasting 40–70 min were conducted in Arabic using a pilot-tested, 15-item guide. Data were analyzed through Braun and Clarke’s six-phase reflexive thematic analysis. Trustworthiness was strengthened through member checking, reflexive journaling, negative case analysis, and investigator triangulation. Reporting adheres to the Consolidated Criteria for Reporting Qualitative Research (COREQ). Result: Five interconnected themes emerged: (1) confronting crisis and uncertainty, (2) renegotiating maternal identity, (3) brokering culture within biomedicine, (4) forging trust with care teams, and (5) evolving into advocates. These themes trace a developmental arc from initial disorientation through progressive empowerment, shaped at every stage by culturally grounded resources and constraints. Mothers functioned as cultural brokers performing invisible labor that healthcare systems neither recognized nor supported. Conclusions: Saudi mothers in PICUs engage in sophisticated cultural mediation between family systems and biomedical institutions under conditions of acute stress. Findings underscore the need for structurally embedded cultural responsiveness in PICU policy, including continuous cultural assessment, care-team continuity, and family advocacy support. Full article

This review focuses on research outputs of water purification, wastewater treatment, metallic remediation, and sorption-based experimental studies. It aims to identify the leading nations contributing to these areas and identify the journals that have published the highest number of papers from 2010 to 2025, and centers on yearly publication trends. A thorough quantitative analysis was carried out to examine key characteristics of adsorbents derived from various materials, as well as symmetry and asymmetry of wastewater treatment for the removal of metallic pollutants. Key adsorption mechanisms—including ion exchange, surface complexation, electrostatic attraction, and pore filling—are discussed alongside the structural roles of symmetric (ordered) and asymmetric (heterogeneous) adsorbent architectures. Data was collected from the Scopus database, focusing on specific keywords like “metal,” “water,” “removal,” “adsorption,” “purification,” “drinking water,” “nano adsorbent,” etc. Among approximately 29,598 publications encompassing research papers, reviews, short communications, conference papers, and book chapters, China emerged as the leading publisher with 11,957 papers, trailed by India (4324 papers), the USA (1825 papers), Iran (1739 papers), Saudi Arabia (1484 papers), Egypt (1318 papers), and Republic of Korea (1194 papers). The bibliometric mapping of conventional adsorbents and nanomaterials used in sorption-based technologies was analyzed using VOSviewer, revealing major research clusters, research hotspots, networks, and evolutionary patterns in wastewater treatment and sorption-based water purification. This study indicates that several journals from Elsevier Ltd. and Springer Nature are leading the field with a large number of publications per year. The analysis reveals a consistent upward trend in the number of research publications in recent years. In sum, the bibliometric data provided highlights the growing relevance of these areas among academicians and acts as a catalyst for further research, motivating researchers to investigate new adsorbents or modifications that could improve adsorption performance while maintaining economic viability and efficiency. Full article

This study examines the relationship between Sudanese audiences’ exposure to digital media coverage of the civil war and their psychological immunity and post-traumatic stress disorder (PTSD) symptoms while also investigating the mediating role of psychological immunity. Data were collected through an online survey from a sample of 774 Sudanese respondents residing both inside and outside Sudan. The findings indicate a relatively high level of exposure to digital news coverage, particularly through social media platforms such as Facebook, reflecting the growing centrality of digitally mediated news environments in conflict reporting. The results also reveal moderate levels of psychological immunity and relatively high levels of PTSD symptoms, especially in the hyperarousal dimension. Statistical analysis shows a negative association between media exposure and psychological immunity, and a positive association between exposure and PTSD symptoms, with psychological immunity partially mediating this relationship. Beyond these findings, this study highlights important implications for journalism practice and media responsibility. The intensity and emotional nature of digital war coverage raise critical concerns regarding ethical news production, the circulation of distressing content, and the potential psychological impact on audiences. These findings underscore the need for more responsible digital journalism practices, including content moderation, trauma-sensitive reporting, and the promotion of media literacy, in order to mitigate the potential harm associated with repeated exposure to crisis-related news content. Full article

Background: The growing use of big data and algorithmic personalisation in political communication has intensified concerns about surveillance, privacy, and manipulation. Although previous research has examined these issues among the general public, much less is known about how journalism students—future professionals who have grown up in data-fied environments—perceive them. This study investigates the extent to which these students feel ‘spied on’ by digital platforms and online media, how such perceptions influence their trust in media, platforms and political actors, and what attitudes they hold regarding the ethical use of data in journalism. (2) Methods: Based on a survey of 222 journalism students, the research analyses perceptions of digital surveillance, awareness of political microtargeting, and attitudes toward the ethical use of audience data in journalism practice. A qualitative component, through focus groups, complements the survey by exploring ethical reflections on algorithmic tracking and journalistic responsibility. (3) Results: The findings reveal a widespread distrust of social networks and political actors and a more moderate scepticism toward the news media. Students express strong ethical concerns about data use and algorithmic personalisation, particularly in political communication and in relation to their future professional roles. (4) Conclusions: The study suggests that journalism students show critical awareness of algorithmic personalisation. Their perceptions highlight the need for academic training in transparency, consent, and accountability in data-driven practices. Full article

The present study provides a comprehensive investigation into the hydrodynamic performance of grooved rubber journal bearings (GRJBs) employed as shaft supports in various rotating systems, with particular emphasis on marine applications. These bearings are lubricated with non-Newtonian fluids such as modern oil containing additives and viscoelastic water-based lubricant, which—owing to its complex composition including hydrocarbon chains, metal oxides, and impurity particles and contaminants such as salts, organic substances, microalgae, biopolymers, and microorganisms—deviates from the ideal Newtonian fluid model and demonstrates non-Newtonian rheological behavior. By examining various theories used in the analysis of non-Newtonian fluid behavior, the power-law model, which has a high degree of generality, has been employed in the present study. Also, to improve modeling accuracy, the elastic deformation of the rubber bush in this study is characterized using the Winkler foundation approach and analyzed via the finite element method (FEM). This advanced mechanical formulation, integrated with non-Newtonian lubrication modeling of lubricant using the power-law fluid model, and the parametric assessment of groove number and dimensions on steady-state bearing performance parameters, constitutes the core of this research. The investigation focuses on groove configurations of 4, 6, 8, and 10 channels. The findings indicate that increasing the groove count partitions the convergent pressure film zone into discrete segments, thereby reducing the maximum hydrodynamic pressure while intensifying the overall energy dissipation within the bearing. Additionally, the influences of rheological properties of the fluid—namely the power-law index (n) and the consistency index (m)—on key performance characteristics are thoroughly examined. An increase in both parameters enhances the effective viscosity and load carrying capacity; however, the exponential amplification due to the power-law index exhibits a more pronounced effect on load capacity and peak pressure compared to the consistency index. Full article

Background/Objectives: Children and young people (CYP) with long-term physical health conditions (LTCs) are at greater risk of psychosocial difficulties. Systematic reviews on adults with LTCs have supported acceptance and commitment therapy (ACT) in improving several psychosocial outcomes. This systematic review aimed to investigate the effectiveness of ACT for CYP-reported psychosocial outcomes among CYP with LTCs. It also examined the factors associated with the effects and the quantitative acceptability of the included ACT interventions. Methods: Eligible studies used a quantitative experimental design to evaluate ACT for CYP-reported psychosocial outcomes in CYP (≤18 years old) with LTCs. Only studies published in English in peer-reviewed journals, from any year, were included. CINAHL (EBSCO), Cochrane Library, Embase (Ovid), MEDLINE (Ovid) and PsycInfo (Ovid) were systematically searched. Google Scholar and Web of Science were also searched, and forward and backward citation searching was completed for included papers. Research quality was appraised using Cochrane risk-of-bias tools. Results were narratively synthesised. Results: Sixteen studies (nine randomised controlled trials (RCTs) and seven non-RCTs) from 19 reports met inclusion criteria, with 777 participants and five LTCs (chronic pain, diabetes, cancer, obesity and visual impairment). Findings provided preliminary support for the effectiveness of ACT on most CYP-reported psychosocial outcomes studied. Seven studies considered factors associated with intervention effects, with mixed findings. Acceptability was supported in the three studies that assessed it quantitatively. However, almost all studies had overall high/serious risk-of-bias ratings. Conclusions: There is preliminary evidence supporting potential benefits of ACT for improving psychosocial outcomes in CYP with LTCs, with limited but supportive findings for its acceptability. However, findings are constrained by high/serious risk of bias and small sample sizes. Larger, high-quality trials with active controls and longer follow-ups are needed to inform future care pathways. Registration: This systematic review was pre-registered (PROSPERO registration number: CRD42023425918). Full article

Introduction: Chinese seniors in North America represent a growing population, and Traditional Chinese medicine (TCM) continues to play an important role in their health practices; however, TCM use has not been comprehensively synthesized from an immigrant perspective in North America. The purpose of this scoping review is to explore the use of TCM by Chinese seniors in Canada and the United States of America (USA). Methods: This scoping review is written in accordance with PRISMA guidelines. PubMed, PsycINFO, CINAHL, AgeLine, ERIC, ProQuest, Nursing and Allied Health Database, PsycARTICLES, Sociology Database, and Education Research Complete were selected for the literature search, which was conducted in August 2025. Articles were included if they investigated the use of any form of TCM among Chinese seniors aged 65 years or older living in the USA and Canada, and were published in an English-language peer-reviewed journal. Results: Twenty-four studies were included in this review, with a total sample size of 7288. The findings indicated that, in the majority of the included studies, over half of the Chinese seniors used some form of TCM. TCM therapies included over-the-counter herbal products, TCM-based physical activities, TCM practitioner consulting, and TCM food practices and therapies. Use of TCM among Chinese seniors was related to musculoskeletal symptoms, cardiovascular symptoms, mental health, severe acute respiratory syndrome prevention, cancer screening, and oral health. Chinese seniors tend to integrate TCM with Western medicine in their healthcare practices. Several factors from individual, familial, and community levels influenced Chinese seniors’ use of TCM. Conclusions: Future research should investigate the integration of TCM with Western healthcare, the training of healthcare providers to improve their understanding of TCM, and the underlying mechanisms of TCM products. Full article

Background: By integrating an MRI scanner and a linear accelerator, MR-linac systems provide superior soft tissue imaging and allow to perform adaptive radiotherapy adjusted on daily anatomical changes. The advent of this technology represents a revolution in radiation oncology and could improve treatment accuracy and clinical outcomes. We performed a comprehensive bibliometric analysis with the aim of displaying the available scientific literature and trends regarding MR-linac. Methods: Scopus database was investigated, considering documents published up to 6 April 2025. Keywords encompassed terms related to “MR-linac” or “MRI-linac” and possible combinations and acronyms. BibTeX data file was imported into Biblioshiny (Bibliometrix package—v. 4.1.4) and analysis was conducted using R code (R version 4.3.2) and the Bibliometrix package (version 4.1.4). Results: A total of 1624 articles on MR-linac were identified. The number of annual publications gradually increased from 21 in 2008, peaking at 211 in 2022 and then remaining substantially stable in subsequent years. Most of the papers were original articles (79.2%) and the majority was published by the 10 journals with the largest output. Remarkably, of 6385 identified authors, over 85% were from one of the 10 most represented countries (including European, North American and Asian nations). Consistently, the 10 institutions with the larger output were North American, Australian or European and provided over 60% of the articles. International co-authorship was found in only 23.6% of the articles. Keyword and co-occurrence analyses identified MR-guided radiotherapy, SBRT, dosimetry, and adaptive strategies as core themes, with emerging trends in radiomics, diffusion metrics, and deep learning. Conclusions: Bibliometric analysis identified trends and patterns of scientific publications regarding MR-linac, highlighting a growing interest in the topic. Nonetheless, it should be considered that the majority of the papers were published by a few journals and over 85% of authors were from 10 countries, demonstrating an evident disparity across nations. Multicentric international research protocols and common frameworks could foster the transition towards collaborative practice-changing studies. Full article

This study presents a comprehensive bibliometric analysis of research on 2xxx series aluminum–copper (Al–Cu) alloys published between 2020 and 2025. A complete analysis of 4380 documents from 747 sources indexed in Scopus reveals sustained research growth, with publications rising from 603 in 2020 to 948 in 2025 at a compound annual growth rate of 9.5%. China dominates global output, contributing 35.7% of publications with Central South University as the leading institution (548 articles). However, China’s international collaboration rate (12.2%) remains notably lower than Western counterparts such as the United Kingdom (62.5%) and Canada (53.2%). Core journals including the Journal of Alloys and Compounds, Materials Science and Engineering: A, and Journal of Materials Research and Technology collectively account for 11.4% of total publications, conforming to Bradford’s Law concentration patterns. Keyword co-occurrence analysis revealed five distinct thematic clusters centered on microstructure–property relationships, friction stir welding and joining technologies, corrosion mechanisms, Al–Cu–Li aerospace alloys, and additive manufacturing. While life cycle modeling (K = 5993; tm = 2022.84) indicates the field is approaching maturity, by identifying emerging frontiers such as machine learning-assisted alloy design, sustainable processing routes, and multi-material joining for electric vehicles, this study offers researchers a quantitative roadmap of the Al–Cu alloy knowledge landscape and highlights strategic opportunities for future investigation. Full article

Machine learning-based systems are increasingly deployed in high-stakes domains, such as healthcare, finance, law, and e-commerce, where their predictions directly influence critical decisions. Although these systems offer powerful data-driven support, they also introduce serious concerns related to fairness, bias, and discrimination. As a result, detecting and addressing unfairness in machine learning software has become a central research challenge. This study presents a systematic mapping of research on software unfairness detection in machine learning systems, with the aim of consolidating existing fairness definitions, identifying major problem types, examining testing approaches, reviewing commonly used datasets, and highlighting open research gaps. A structured search was conducted across five major digital libraries and additional sources, covering publications from 2010 to 2025. From 1805 initially identified records, 67 primary studies met the inclusion and quality assessment criteria. The findings show that research activity has grown significantly since 2019, reaching a peak in 2022. Most studies were published in conference proceedings, accounting for 52% of the primary studies, followed by journals and workshop proceedings, which accounted for 42% and 6% of the primary studies. The literature encompasses multiple research themes, with 36% of the primary studies focusing on the analysis of existing fairness methods, 22% addressing bias mitigation strategies, 30% investigating testing techniques, and 12% proposing or evaluating evaluation frameworks. Fairness testing was conducted across multiple testing levels, including unit, integration, and system testing. Integration-level testing was the most prevalent, accounting for approximately 37.9% of the studies, followed by system-level testing at 27.3% and unit-level testing at 12.1%. Additionally, 22.7% of the studies applied fairness testing across more than one testing level. Frequently used datasets included COMPAS, Adult Census Income, and German Credit. Widely adopted tools, such as IBM AI Fairness 360, Themis, and Aequitas, were also identified. Overall, the systematic mapping study (SMS) highlights the progress made in fairness research while emphasizing the need for stronger integration of fairness into practical machine learning development. Full article

This study examines how user-generated content (UGC) is incorporated and negotiated within platformized public service media (PSM) journalism, using the German content network funk as a case study. Based on a qualitative content analysis of selected formats and their social media posts, the study shows that participatory affordances offered by social media platforms (SMPs) are present but rarely foregrounded as central elements of storytelling. Instead, UGC is typically used as illustrative material or selectively embedded within editorial narratives. The analysis investigates how UGC is solicited, incorporated, and visually integrated into editorial storytelling across different formats. The findings identify three recurring patterns of UGC integration that illustrate how audience participation is negotiated within everyday editorial production: (1) illustrative UGC integration, (2) community-oriented UGC integration, and (3) minimalist UGC integration. Overall, the study highlights how platformized PSM journalism integrates UGC in ways that remain strongly editorially moderated rather than fully participatory, demonstrating how participation is enabled, constrained, and strategically applied within platform infrastructures. Full article

Radon has long been investigated as a potential earthquake precursor, yet its interpretation remains challenged by meteorological, hydrological, and instrumental variability that can generate apparent departures unrelated to tectonic processes. This review synthesises how artificial intelligence is being applied in radon-based earthquake precursor research, with particular emphasis on anomaly detection and the evaluation of radon seismicity associations. Following a PRISMA-guided workflow, Scopus and the Web of Science Core Collection are searched and screened for eligibility, yielding 26 journal articles, most of which are concentrated in a limited number of tectonically active regions. Across the reviewed literature, a consistent pattern emerges: AI is used primarily to model the expected radon background, while candidate precursors are identified mainly through threshold-based indices derived from residuals or concentration ratios rather than through explicit earthquake-probability outputs. Although pre-seismic departures are reported repeatedly, this review shows that the evidence base remains constrained by heterogeneous operational definitions of anomaly, strong methodological variation across studies, a predominant emphasis on background goodness-of-fit instead of alarm-level performance, and limited use of time-ordered validation. These findings highlight both the promise and the current limitations of AI-enabled radon analysis. The main contribution of the field so far is not direct earthquake prediction but a more structured framework for separating potential tectonic signals from non-seismic variability. In this sense, the review provides an important methodological synthesis for future research and shows that more reproducible and operationally useful radon monitoring will depend on clearer anomaly definitions, stronger confounder control, more rigorous temporal validation, and more standardised performance reporting. Full article

In 1988, two seminal studies were published almost simultaneously in the same scientific journal. Both spurred the field of brain energy metabolism research in new directions, culminating in a long-lasting debate that appeared to split its practitioners into two factions that seem unwilling to agree on what metabolic processes are fueling the active brain with adenosine triphosphate (ATP). The first study used rat hippocampal slices to demonstrate the ability of lactate to support neuronal function as the sole oxidative mitochondrial substrate. The second study demonstrated that upon brain stimulation, glucose consumption is not accompanied by respective oxygen consumption, but a non-oxidative glucose utilization or what has become known as “aerobic glycolysis”. Consequently, for almost four decades, researchers in this field have been divided between those who profess that brain activity is supported by oxidative lactate metabolism and those who insist that non-oxidative glucose metabolism supports it. Hypotheses for both concepts were offered, “The Astrocyte Neuron Lactate Shuttle Hypothesis” and “The Efficiency Tradeoff Hypothesis,” respectively. To bridge the gap between the two groups, a recent editorial, authored by over twenty leading investigators, was published. The editorial received two separate responses from investigators who supported the non-oxidative glucose consumption as the main process supporting neural activity, signaling that the gap between the two groups remained. The present perspective highlights the principal disagreements that divide this utmost important field of research. It argues that the main reason for these disagreements is rooted in the assumption that pyruvate is the end-product of aerobic glycolysis, even when many among those who adhere to this assumption accept that in the active brain glycolysis is the main provider of the necessary ATP and the end-product is lactate under aerobic conditions. The consideration of a paradigm shift, according to which lactate is the real end-product of glycolysis, independent of the presence or absence of oxygen, could bridge the great divide between those who separate glycolysis into two outcomes and those who profess that there is only one, prefix-less glycolytic pathway that always ends with the production of lactate. Full article