Research Team Research Articles

Students' perspectives from co-designed, lived experience eating disorders education: A qualitative inquiry

BackgroundThere is an intricate connection between eating disorders and trauma. Despite this, traditional eating disorders education for health professions has not taken a trauma-informed approach. AimWe aimed to explore the reflections of graduate entry dietetic and undergraduate nursing students who participated in a trauma-informed, co-designed education innovation that focussed on an individual's storied lived experience. MethodsWe applied an interpretive lens in this qualitative inquiry-based study. Graduate entry dietetic and undergraduate nursing students participated in this study. The lived experience, co-designed workshops (n = 35) were embedded in the curricula with an optional follow-up discussion with the lived experience and academic educators. Students were asked to write their key reflections on a sticky note at the end of the workshop. Thematic analysis of the student reflections was completed by the research team including the lived experience educator and academics. ResultsA total of 442 sticky notes were collected; 145 from the dietetic and 297 from the nursing students. Analysis of the dietetic and nursing students' reflections generated six themes: 1) Do no harm, 2) Seeing beyond the diagnosis, 3) Language matters, 4) Humanise the relationship, 5) Recovery in the context of healing, and 6) Significance of hope. There was consistency across the reflections for the two different disciplines. ConclusionsCo-designed lived experience eating disorders education that honours the living experiences and complexities of eating disorders can deepen health profession students' understandings of how they can work with, rather than against, people living with and recovering from eating disorders through a trauma-informed approach.

Numerical investigation of the thermal hydrofracturing behavior of the Callovo-Oxfordian claystone

This study addresses the thermal hydrofracturing behavior in claystone within the context of the high-level and intermediate-level long-lived radioactive waste disposal. The heat generated by the waste packages will lead to a temperature increment within the host formation, inducing a pore pressure build-up essentially due to the difference between the thermal expansion coefficient of the pore water and that of the solid skeleton. If the induced pore pressure build-up is too high, the host formation will experience tensile stresses, potentially exceeding its tensile strength and resulting in fracturing. Understanding of these processes and improving numerical models to reproduce them will help the design, optimization, and safety of the repository. Additionally, it will contribute to demonstrating robustness by showing that such processes are not expected to occur at the repository scale.This study was conducted as part of the DECOVALEX-2023 project and synthesizes the efforts of six research teams modelling laboratory thermal extension tests conducted on Callovo-Oxfordian claystone (COx) samples, as well as an in-situ thermal hydrofracturing experiment conducted at the Meuse/Haute-Marne Underground Research Laboratory in France. The teams used different numerical codes with different approaches, including continuum and discrete approaches, to model these two tests. The laboratory tests were used to calibrate the teams’ models, such as the fracturing criterion. The teams considered a thermo-hydromechanical formulation under saturated conditions. One of the key features of their models was the incorporation of changes in the hydraulic properties of the COx through hydromechanical coupling.The approaches developed by the teams demonstrated their capability to analyze and reproduce fracture initiation in the COx in terms of time of occurrence and location based on their respective stress analyses. However, attempts to reproduce fracture aperture or fracture propagation were less accurate and remain areas for future research, which were beyond the scope of this study.

A Rural Community Readiness Assessment of Prehospital Telestroke Services in the Ambulance.

The research team assessed community acceptability of prehospital stroke telemedicine services in rural O'ahu communities. Tools were developed to evaluate patient-centered goals about implementing ambulance-based telemedicine which aimed to retain appropriate patients in community hospitals and improve thrombolytic treatment times. Using a mixed methods approach, the team surveyed well-appearing adults (ie, able to complete survey and interview) at O'ahu community events. Participants were asked to complete a short Likert-scale questionnaire (n=263) followed by a semi-structured interview (n=29). Data were summarized by descriptive and inferential statistics. Comparisons between rural and urban groups were made by chi-square analysis and Wilcoxon rank-sum 2-tailed test. Interviews were transcribed, coded, and analyzed using inductive and deductive methods. The findings suggest that use of prehospital telemedicine for specialty care is viewed favorably by both rural and urban respondents. Additionally, most respondents felt comfortable staying at their local hospital if they had access to a specialist by telemedicine. However, mistrust in rural hospitals may be a potential barrier to implementation. Compared to urban respondents, rural respondents were less confident in their local hospital's resources and capabilities for stroke care. The findings identified a potential misalignment of the project's goal with some patients' goal to use emergency medical services (EMS) to bypass rural hospitals for stroke care. Future community outreach efforts are needed to encourage activation of EMS and highlight the advantages of utilizing prehospital telemedicine for accessing specialty care thereby improving treatment times.

Aretaic Friendship: A Multidisciplinary Enquiry

Friendship catalyzes personal growth, nurturing excellence, virtue, and spiritual enlightenment. Various forms of friendships offer distinct benefits in specific contexts. This article explores the often-overlooked aretaic friendship, distinguishing it from other friendship types and elucidating its cultivation process. The word aretaic comes from the Greek arete-virtue. This article uses the term aretaic friendship to characterize virtue- and character-based friendships. It considers the physiological, psychological, and societal benefits of friendships, focusing on the unique qualities of aretaic friendships and how they empower individuals to pursue greatness collectively and contribute to a flourishing society. What sets this article apart is the collaborative effort of a multidisciplinary research team comprising scholars from diverse fields, including education, medical science, psychology, information technology, philosophy, and theology.

Exoskeletal-assisted walking combined with transcutaneous spinal cord stimulation to improve bone health in persons with spinal cord injury: study protocol for a prospective randomised controlled trial

IntroductionPersons with non-ambulatory spinal cord injury (SCI) undergo immediate unloading of the skeleton and, as a result, have marked loss of bone mineral density below the level of lesion that...

Diet and Lifestyle Modifications for Fibromyalgia.

Fibromyalgia (FM) is a complex, widespread pain disorder characterized by symptoms such as fatigue, sleep deprivation, mental fog, mood swings, and headaches. Currently, there are only three FDA-approved medications for FM patients: duloxetine, milnacipran, and pregabalin, with outcomes frequently being inadequate. This research team aims to investigate the effects of diet and lifestyle modifications on FM, with emphasis on anti-inflammatory diet, antioxidants, and gluten-free diets, as well as supplementation with Magnesium, CQ10, and Vitamin D, microbiome, sleep, exercise, and cognitive behavioral therapy. We reviewed the pathophysiology of certain foods that can be proinflammatory with the release of cytokines leading to activation of pain, fatigue and aggravation of the majority of Fibromyalgia symptoms. A literature review was performed by identifying FM articles published between 1994 and 2022 via PubMed and EMBASE databases, with particular emphasis on randomized controlled trials, meta-analysis, and evidence-based treatment guidelines. This review article was completed by a comprehensive narrative review process, in which our team systematically examined relevant scientific literature to provide a comprehensive overview of the significant role that diet and other lifestyle modifications play in mediating symptoms of Fibromyalgia. We propose that diet modifications and lifestyle changes, such as sleep, exercise, and weight loss, can be important steps in managing FM.

Growth of Knowledge Synthesis in a University Setting: Types, Disciplines, and Librarian Involvement

Librarian co-authorship of knowledge synthesis (KS) research is on the rise, demonstrating growing recognition of the value librarians bring to research teams. This study analyzes trends in KS research output at a mid-sized doctoral granting university between 2017 and 2022, with a focus on librarian involvement. Using PubMed, Scopus, and the Social Sciences Citation Index & Arts and Humanities Citation Index, all KS research published by researchers at our institution between 2017 and 2022 was retrieved. A content analysis was conducted, and findings reveal a 280 % increase in librarian co-authorship during this period, coinciding with a 54 % overall growth in KS publications. Health sciences continue to dominate as the primary creators of KS research, with <10 % of published KS published in the sciences, humanities, and social sciences. Notably, systematic reviews with librarian co-authors were published in journals with higher Journal Impact Factors (JIFs) than those without. This research underscores the vital role librarians play in advancing KS research, the importance of advocating for librarian co-authorship, and highlights the need for increased librarian engagement in non-health disciplines.

Komodo Dragon Mlipir Algorithm-based CNN Model for Detection of Illegal Tree Cutting in Smart IoT Forest Area

Introduction: Trees and woods are vital to preventing climate change and protecting our planet. Sadly, they are constantly being destroyed due to human activities like deforestation, fires, etc. Method: This research presents and examines an outline for using audio event categorisation to automatically detect unlawful tree-cutting activity in forests. To monitor large swaths of forest, the research team proposes using ultra-low-power, minor devices incorporating edgecomputing microcontrollers and long-range wireless communication. An efficient and accurate audio classification solution based on multi-layer perceptron (MLP) and modified convolutional neural networks (M-CNN) is projected and tailored for cutting. The Komodo Dragon Mlipir Algorithm (KDMA) is used to pick the best weight for the CNN. Result: Compared to earlier efforts, the suggested system uses a computing technique to recognise deforestation-related hazards. Various preprocessing methods have been evaluated, with special attention paid to the trade-off between classification precision and computer resources, memory, and power use. Conclusion: Additionally, there have been long-range communication trials performed in natural settings. The experimental consequences demonstrate that the suggested method can notice and apprise tree-cutting occurrences through smart IoT for efficient and lucrative forest nursing.

Dr. Manuel Martinez-Maldonado: A Pioneer in Renal Therapeutics and Mentor to a Generation of Minority Physician-Scientists.

Dr. Manuel Martinez-Maldonado is a distinguished Puerto Rican internist, nephrologist, physician-scientist, mentor, and prolific writer whose leadership in academic and clinical settings has significantly advanced the fields of nephrology, renal physiology and pharmacology, fluids and electrolyte metabolism, calcium metabolism, hypertension research, and medical education. His research on electrolyte imbalances has led to innovative hypercalcemia treatments, notably furosemide withIV fluid therapy. This is an approach that, combined with pharmacotherapy using calcitonin and bisphosphonates, became the standard practice for managing hypercalcemia until specific therapies became available. His nephrology research team and laboratory in the San Juan VA (Veterans Affairs) Medical Center and the Medical School of the University of Puerto Rico were internationally renowned. Throughout his career, he fostered a culture of mentorship while spearheading superb clinical teaching and research initiatives. His transformative tenures at several institutions, including Baylor College of Medicine; the University of Puerto Rico-Medical Sciences Campus; the VA medical centers in Atlanta, Houston, and San Juan; Emory University; Oregon Health Sciences University; Ponce School of Medicine; and the University of Louisville School of Medicine demonstrate his lasting contributions to medical science and education. His interdisciplinary approach, advocacy for kidney and clinical research, and contributions to understanding the renin-angiotensin system and the role of sodium-potassium-activated adenosine triphosphatase in renal concentration mechanisms illustrate his enduring impact on renal physiology and human health.

Co-Designing a Palliative Dementia Care Framework to Support Holistic Assessment and Decision Making: The EMBED-Care Framework.

People with dementia have complex palliative care needs that are often unmet, including physical and psycho-social needs. It is essential to empower people with dementia, family carers and professionals to better assess and manage care needs. We aimed to co-design a palliative dementia care Framework delivered through a digital app to support holistic assessment and decision making for care in the community and care homes-the EMBED-Care Framework. A systematic co-design approach was adopted to develop the EMBED-Care Framework across three stages: 1) Framework analysis to synthesise data from preceding evidence reviews, large routine clinical data and cohort studies of unmet palliative dementia care need; 2) Co-design using iterative workshops with people with dementia, family carers and health and social care professionals to construct the components, design of the app and implementation requirements; and 3) User testing to refine the final Framework and app, and strengthen use for clinical practice and methods of evaluation. The Framework was co-designed for delivery through an app delivered by aTouchAway. It comprised five main components: 1) holistic assessment of palliative care needs using the Integrated Palliative care Outcome Scale-Dementia (IPOS-Dem); 2) alert system of IPOS-Dem scores to highlight unmet needs; 3) IPOS-Dem scores and alerts enable shared decision making between the practitioner, patient and/or carer to support priority setting and goals of care; 4) evidence-informed clinical decision support tools automatically linked with identified needs to manage care; and 5) Training package for users incorporating face-to-face sessions, clinical champions who received additional face-to-face sessions, animated videos and manual covering the main intervention components and email and telephone support from the research team. This is a novel digital palliative dementia care intervention to link holistic assessment with clinical decision support tools that are practical and easy to use but address the complexity of palliative dementia care. The Framework is ready for feasibility testing and pilot studies for people with dementia residing at home or in a care home. We were guided by our Patient and Public Involvement (PPI) group consisting of three people with mild dementia, including younger onset dementia, and seven family carers throughout the project. They supported the overall development of the Framework, including planning of workshops, interpreting findings and testing the framework in our PPI meetings.

Unspeakable: reflections on relational approaches to research in post-conflict settings

ABSTRACT In this article, I offer reflections on a research project with former combatants who fathered children as the result of conflict-related sexual violence in northern Uganda. The research sought to understand how becoming a father shaped their decision making as soldiers, and reintegration experiences following demobilisation. What roles, if any, do they play in their children’s lives post-conflict, and what futures do they envision for them? I consider the ethical and methodological challenges of the research project through the concept of the unspeakable, what Judith Herman refers to as ‘traumatic events that take place outside socially validated reality.’ How does one come to know beyond what one can imagine, or that which is socially unrecognisable, such as the love of fathers associated with the perpetration of violent atrocities? I foreground a relational approach to the research encounter, one that fostered intimate, steadfast, and mutually giving relationships between the research team and participants, and opening pathways to explore intimacy between a father and child. I then reflect on what this methodology offers in terms of thinking beyond.

Assessing production, processing and utilization of sorghum in West Pokot County, Kenya

Sorghum is one of the most important and under-utilized cereal crops in the Arid and Semi-Arid land (ASAL) regions of Kenya. The crop is grown in drought-prone marginal agricultural areas of Western Central and Eastern and coastal regions of Kenya. The diverse biotic and abiotic constraints including climate changes reduce sorghum productivity. Sorghum technology generators continue promoting suitable management practices and innovations to cushion and improve the resilience of smallholder farmers against the adverse effects of climate change. These interventions contribute to the attainment of not only household and national food security but also enhance incomes. Despite the increasing sorghum production and utilization in West Pokot County, there is limited knowledge of the status of production, processing, and utilization technologies. The aim of this study was to assess the current sorghum production, processing, utilization technology, innovations, and management practices among smallholder farmers. A household survey was undertaken using a jointly developed structured questionnaire by a multi- and inter-disciplinary team of researchers. Using a multi-stage sampling technique, 599 households were randomly selected and interviewed. Data collected were on household and farm characteristics including technologies. The study revealed that compared to maize and pasture, land allocated to sorghum enterprise was relatively low ranging from 0.32 acres to 0.80 acres with an average of 0.73 acres. The adoption of various sorghum technological components was also low. Adoption of improved sorghum varieties was less than 7% while fertilizer use was less than 20%. These contribute to low crop yields of about 140kg per acre. In addition, value addition was also low. Sorghum use was limited to ugali (56%) and porridge (39%) against the diverse value-added products including bread baking. and industrial processing of pure and blended products. More farmer and stakeholders training need to be done. In order to fully upgrade the sorghum value chain; there is the need to have targeted sorghum policies focusing on a range of activities along the value chain. These interventions could be integrated into the West Pokot County Integrated Development Plan. Key words: Sorghum, Production, Marketing, Utilization, Challenges, Opportunities, West Pokot

Discontinuation of β-blocker therapy in stabilised patients after acute myocardial infarction (SMART-DECISION): rationale and design of the randomised controlled trial

IntroductionThere is a lack of evidence to support the effectiveness of prolonged β-blocker therapy after stabilisation of patients with acute myocardial infarction (AMI) without heart failure (HF) or left ventricular...

Qualitative system dynamics modelling to support the design and implementation of tuberculosis infection prevention and control measures in South African primary health care facilities.

Tuberculosis infection prevention and control (TB IPC) measures are a cornerstone of policy, but measures are diverse and variably implemented. Limited attention has been paid to the health system environment which influences successful implementation of these measures. We used qualitative system dynamics and group-model-building methods 1) develop a qualitative causal map of the interlinked drivers of Mycobacterium tuberculosis (Mtb) transmission in South African primary health care facilities which in turn, helped us to 2) identify plausible IPC interventions to reduce risk of transmission. Two one-day participatory workshops were held in 2019 with policy- and decision-makers at national and provincial level, and patient advocates and health professionals at clinic and district level. Causal loop diagrams were generated by participants and combined by investigators. The research team reviewed diagrams to identify the drivers of nosocomial transmission of Mtb in primary health care facilities. Interventions proposed by participants were mapped onto diagrams to identify anticipated mechanisms of action and effect. Three systemic drivers were identified: 1) Mtb nosocomial transmission is driven by bottlenecks in patient flow at given times; 2) IPC implementation and clinic processes are anchored within a staff "culture of nominal compliance"; and 3) limited systems-learning at policy level inhibits effective clinic management and IPC implementation. Interventions prioritised by workshop participants included infrastructural, organisational, and behavioural strategies that target three areas: 1) improve air quality; 2) improve use of personal protective equipment; and 3) reduce the number of individuals in the clinic. In addition to core mechanisms, participants elaborated specific additional enablers that would help sustain implementation. Qualitative system dynamics modelling (SDM) methods allowed us to capture stakeholder views and potential solutions to address the problem of sub-optimal TB IPC implementation. The participatory elements of SDM facilitated problem-solving and inclusion of multiple factors frequently neglected when considering implementation.

How do Ivorian Cyberfraudsters Manage Their Criminal Proceeds?

AbstractThis article delves into the intricacies of managing illicit financial gains among Ivorian cyberfraudsters, shedding light on the findings of a field study conducted in Côte d’Ivoire by Swiss and Ivorian research teams. The study involved interviews with cybercriminals, law enforcement officials, and subject matter experts, in order to answer a specific question: What strategies do Ivorian cyberfraudsters use to manage and launder the criminal proceeds originating from romance scams and sextortion? The results explore the tactics employed by cyberfraudsters to obfuscate the illicit financial flows, their organizational structures, and the strategies they employ in managing and using their gains. It confirms certain elements from the scientific literature, in addition to introducing new insights for a better understanding of the processes of money laundering and the use of illicit funds. The article also unravels the multifaceted challenges encountered within the anti-money laundering framework in the context of cybercrime and raises avenues for further reflection and future work to enhance the fight against this scourge.

Research and Application of Intelligent Pedestrian Traffic Light System

This study aims to develop an intelligent pedestrian traffic light system that utilizes artificial intelligence and visual learning technology to optimize the intelligent management of traffic lights, in order to improve traffic efficiency, reduce traffic congestion, reduce the incidence of traffic accidents, and provide people with a safer and more convenient travel environment. The research team uses high-definition cameras to capture pedestrians and vehicles in real-time, and uses computer vision technology for pedestrian and vehicle detection and feature extraction. Through age classification and feature extraction, a population transit time model was constructed, and the model was optimized to improve prediction accuracy. The model was applied to traffic management for decision-making. In addition, the research also involves traffic flow analysis and real-time adjustment mechanisms, as well as the construction and application of pedestrian and vehicle models. Discover traffic patterns through data mining techniques and develop corresponding traffic management strategies. The construction and optimization adjustments of the predictive model support the implementation of the decision control model, which is based on data-driven and algorithmic optimization. The effectiveness of the model has been verified through simulation experiments and on-site testing. Finally, machine learning was used to recognize pedestrians, vehicles, and movement directions, and deep learning was applied to construct a prediction model, achieving intelligent control of pedestrian traffic lights.

Talking About Suffering in the Intensive Care Unit

Background Some have hypothesized that talk about suffering can be used by clinicians to motivate difficult decisions, especially to argue for reducing treatment at the end of life. We examined how talk about suffering is related to decision-making for critically ill patients, by evaluating transcripts of conversations between clinicians and patients’ families. Methods We conducted a secondary qualitative content analysis of audio-recorded family meetings from a multicenter trial conducted in the adult intensive care units of five hospitals from 2012–2017 to look at how the term “suffering” and its variants were used. A coding guide was developed by consensus-oriented discussion by four members of the research team. Two coders independently evaluated each transcript. We followed an inductive approach to data analysis in reviewing transcripts; findings were iteratively discussed among study authors until consensus on key themes was reached. Results Of 146 available transcripts, 34 (23%) contained the word “suffer” or “suffering” at least once, with 58 distinct uses. Clinicians contributed 62% of first uses. Among uses describing the suffering of persons, 57% (n = 24) were related to a decision, but only 42% (n = 10) of decision-relevant uses accompanied a proposal to limit treatment, and only half of treatment-limiting uses (n = 5) were initiated by clinicians. The target terms had a variety of implicit meanings, including poor prognosis, reduced functioning, pain, discomfort, low quality of life, and emotional distress. Suffering was frequently attributed to persons who were unconscious. Conclusions Our results did not support the claim that the term “suffering” and its variants are used primarily by clinicians to justify limiting treatment, and the terms were not commonly used in our sample when decisions were requested. Still, when these terms were used, they were often used in a decision-relevant fashion.

How does chronic disease influence subjective life expectancy among middle-aged and older adults? Evidence from the China Health and Retirement Longitudinal Study (CHARLS) 2018 cross-sectional data.

Chronic diseases have become one of the most important factors threatening human health. Subjective life expectancy (SLE) describes an individual's expectation or subjective perception of lifespan. This article aims to explore the relationship between chronic diseases and SLE, as well as the differences among different age groups and different types of chronic diseases in this relationship. China Health and Retirement Longitudinal Study (CHARLS) is a nationwide longitudinal study that evaluates the social, economic, and health conditions of middle-aged and older adult families and individuals aged 45 and above in China. In this study, CHARLS used probability proportional to size sampling (PPS sampling) to ensure the breadth and representativeness of the sample. This study selected cross-sectional data from CHARLS 2018, removed missing values, and obtained a valid sample of 10,658 middle-aged and older individuals, of whom 8564 had chronic diseases. After controlling demographic, health behavior, socioeconomic, psychological, and social security factors, an ordered logistic regression was performed to explore the relationship between chronic disease and SLE in middle-aged and older adults. The results show that chronic diseases negatively correlate with SLE in middle-aged and older adults. Middle-aged and older adults with chronic diseases are 36.2% less likely to have high life expectancy than those without chronic diseases. Many different types of chronic diseases are negatively correlated with SLE. Cancer is most negatively correlated with SLE, far exceeding other chronic diseases. Chronic disease and SLE of middle-aged and older adults have age-heterogeneous differences. For middle-aged people aged 45-59 and young older adults aged 60-79, there is a significant correlation between chronic diseases and SLE. However, there is no correlation between chronic diseases and subjective life expectancy in the older population aged 80 and above. The government and society should pay close attention to the prevention and treatment of chronic diseases among middle-aged and older adults and adjust policies and measures according to the population's age structure. In addition, the government and society should pay attention to the spiritual needs of middle-aged and older adults. The government and society should pay more attention to cancer patients. Finally, the scientific research team should also strengthen research on chronic diseases, research and development of specific drugs and vaccines, improve the cure rate of chronic diseases, promote people's health, and make people no longer afraid of diseases.

Study on interaction with high-abundant blood proteins and identification of low-abundant proteins to 5-phenyl-1-(p-tolyl)-1 H-1,2,3-triazole by serum proteomics

In this study, a comprehensive investigation was undertaken to elucidate a simple triazole compound, 5-phenyl-1-(p-tolyl)-1 H-1,2,3-triazole (PPTT), its interactions with high-abundant proteins and identification of low-abundant proteins by serum proteomics. Employing a combination of spectroscopic techniques and computational chemistry, the interactions between PPTT and three high-abundance blood globular proteins, namely human serum albumin (HSA), human immunoglobulin G (HIgG), and hemoglobin (BHb), were explored, thereby ascertaining their binding constants and thermodynamic parameters at the molecular level. Subsequently, based on the differential proteomics, utilizing two-dimensional gel electrophoresis (2-DE) in conjunction with matrix-assisted laser desorption time-of-flight mass spectrometry (MALDI-TOF-MS), the research team isolated and identified differentially expressed low-abundance proteins in human blood serum samples following exposure to PPTT. The results showed that there were twenty highly expressed proteins identified from blood serum samples intervened by PPTT. Combining bioinformatics techniques, these proteins were classified, providing preliminary insights like preproprotein or precursors inhibiting the activity of elastase, defending and regulating the immune system, carrying lipid, and other functions into their biological functionalities. One of the differential proteins, apolipoprotein A-1 (ApoA-1) protein, was selected as a possible target to explore the mechanism of action of PPTT intervention on the related signaling pathways involved in human hepatocellular carcinomas(Hep G2) cells. These research findings offer scientifically sound guidance for further in-depth exploration, development, and application of the 1,2,3-triazole compound.

Team Factors in Ethical Decision Making: A Content Analysis of Interviews with Scientists and Engineers

The ethical decision making of researchers has historically been studied from an individualistic perspective. However, researchers rarely work alone, and they typically experience ethical dilemmas in a team context. In this mixed-methods study, 67 scientists and engineers working at a public R1 (very high research activity) university in the United States responded to a survey that asked whether they had experienced or observed an ethical dilemma while working in a research team. Among these, 30 respondents agreed to be interviewed about their experiences using a think-aloud protocol. A total of 40 unique ethical incidents were collected across these interviews. Qualitative data from interview transcripts were then systematically content-analyzed by multiple independent judges to quantify the overall ethicality of team decisions as well as several team characteristics, decision processes, and situational factors. The results demonstrated that team formalistic orientation, ethical championing, and the use of ethical decision strategies were all positively related to the overall ethicality of team decisions. Additionally, the relationship between ethical championing and overall team decision ethicality was moderated by psychological safety and moral intensity. Implications for future research and practice are discussed.