Impact of research paradigms on low-income female caregivers and their children: an oral health literacy discourse.

Objective: Despite the vast knowledge gained through research and public health surveillance, dental caries prevalence among children from low-income households remains high. The aim of this literature review is to identify assumptions made within existing empirical, constructivist, and critical paradigms to determine how those assumptions impact knowledge and if these impacts have aided in perpetuating inequity or health disparities within this target population. Method: A literature search of EBSCOhost, PubMed, and Web of Science was conducted to retrieve articles from peer-reviewed journals published in the last 10 years, including qualitative, quantitative, and mixed methods studies. Qualitative methods included narrative research via interviews; quantitative designs included cross-sectional studies using surveys and various indices to assess oral health literacy (OHL) levels and oral health status. Exclusion criteria were non-English studies and studies that did not include female caregivers. Results: Nine primary research articles were selected for analysis. The positivist paradigm was dominant in 7 of 9 articles. Oral health social processes, such as the lack of value placed on oral health as a component of overall health by the broader medical community and the public, were not discussed as influencing factors on OHL. Discussion: Assumptions identified within the dominant paradigms were determined to perpetuate inequity or health disparities, confirming a link between caregivers' OHL levels and the oral health status of their children. It is critical that all health care professionals improve their understanding of factors affecting caregivers' OHL. Conclusion: Strategies that empower and advocate for women to improve their OHL should be developed.

Objectif: Malgré les vastes connaissances acquises par le biais de la recherche et des activités de surveillance de la santé publique, la prévalence des caries dentaires chez les enfants vivant dans des ménages à faible revenu demeure élevée. La présente revue de la littérature vise à cerner les suppositions des paradigmes empiriques, constructivistes et critiques existants afin de déterminer comment elles influent sur les connaissances, et si ces effets ont contribué à perpétuer les iniquités ou les disparités en matière de santé au sein de cette population cible. Méthodes: On a procédé à une recherche documentaire sur EBSCOhost, PubMed et Web of Science pour trouver des articles publiés au cours des 10 dernières années dans des revues à comité de lecture, y compris des études par cohortes qualitatives, quantitatives et mixtes. Les méthodes qualitatives comprenaient des recherches narratives réalisées au moyen d'entrevues. Les méthodes quantitatives comprenaient des études transversales faisant appel à des sondages, ainsi que divers indices visant à évaluer les niveaux de littératie en santé buccodentaire et la situation en matière de santé buccodentaire. Les critères d'exclusion s'appliquaient aux études non anglophones et aux études qui n'incluaient pas de femmes soignantes. Résultats: Neuf articles présentant des études originales ont été sélectionnés aux fins d'analyse. Le paradigme positiviste était dominant dans 7 des 9 articles. L'influence de certains processus sociaux de santé buccodentaire, tel que le manque de valeur accordée à la santé buccodentaire en tant qu'élément de la santé globale par la communauté médicale en général et par le public, sur la littératie en santé buccodentaire n'a pas été discutée. Discussion: On a établi que les suppositions définies dans les paradigmes dominants perpétuaient l'iniquité ou des disparités en matière de santé, ce qui confirme l'existence d'un lien entre le niveau de littératie en santé buccodentaire parmi les soignants et l'état de santé buccodentaire de leurs enfants. Il est essentiel que tous les professionnels de la santé renforcent leur compréhension des facteurs qui influent sur cette littératie chez les soignants. Conclusion: Il est nécessaire d'élaborer des stratégies propres à défendre les femmes et à leur donner les moyens d'améliorer leur littératie en santé buccodentaire.

A Comprehensive Review of Innovative Paradigms in Microbial Detection and Antimicrobial Resistance: Beyond Traditional Cultural Methods.

Microbial detection and antimicrobial resistance (AMR) surveillance are critical components of public health efforts to combat infectious diseases and preserve the efficacy of antimicrobial agents. While foundational in microbial identification, traditional cultural methods are often laborious, time-consuming, and limited in their ability to detect AMR markers. In response to these challenges, innovative paradigms have emerged, leveraging advances in molecular biology, genomics, proteomics, nanotechnology, and bioinformatics. This comprehensive review provides an overview of innovative approaches beyond traditional cultural methods for microbial detection and AMR surveillance. Molecular-based techniques such as polymerase chain reaction (PCR) and next-generation sequencing (NGS) offer enhanced sensitivity and specificity, enabling the rapid identification of microbial pathogens and AMR determinants. Mass spectrometry-based methods provide rapid and accurate detection of microbial biomarkers, including matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) and biosensor technologies. Nanotechnology approaches, such as nanoparticle-based assays and nanopore sequencing, offer novel platforms for sensitive and label-free detection of pathogens and AMR markers. Embracing these innovative paradigms holds immense promise for improving disease diagnosis, antibiotic stewardship, and AMR containment efforts. However, challenges such as cost, standardization, and integration with existing healthcare systems must be addressed to realize the full potential of these technologies. By fostering interdisciplinary collaboration and innovation, we can strengthen our ability to detect, monitor, and combat AMR, safeguarding public health for generations.

Different paradigms for dealing with urban water issues, using new technological and governance solutions, learning from Chinese, Indian and European experiences.

Three paradigms to deal with urban water issues are compared. The analysis focuses on their definition and objectives, the role of different stakeholders, the issues they deal with, and the possible solutions suggested. The paradigms differ in scope (from the narrow focus of the sponge city paradigm to the broad goals of eco-city paradigm) and in terms of the governance structures used to coordinate different stakeholders. The smart and sponge paradigms mainly use existing government structures. In the eco-cities approach, the citizens want to be involved through newly created governance structures. Smart and eco-city initiatives emphasize the involvement of stakeholders, while in the sponge cities approach, the initiative is often taken by the local government. Finally, in terms of expected solutions, the paradigms want to create eco- or healthy cities or improve water management to create a more healthy urban environment. After identifying the issue, alternative water-related technologies are available, like generating energy from wastewater or separating grey and brown water. Cities require different governance structures, and managing information flows in an integrated way to solve water and other issues. The experience in Europe, China, and India may help other cities choose the right paradigm.

Toward Clinical Generative AI: Conceptual Framework.

Clinical decision-making is a crucial aspect of health care, involving the balanced integration of scientific evidence, clinical judgment, ethical considerations, and patient involvement. This process is dynamic and multifaceted, relying on clinicians' knowledge, experience, and intuitive understanding to achieve optimal patient outcomes through informed, evidence-based choices. The advent of generative artificial intelligence (AI) presents a revolutionary opportunity in clinical decision-making. AI's advanced data analysis and pattern recognition capabilities can significantly enhance the diagnosis and treatment of diseases, processing vast medical data to identify patterns, tailor treatments, predict disease progression, and aid in proactive patient management. However, the incorporation of AI into clinical decision-making raises concerns regarding the reliability and accuracy of AI-generated insights. To address these concerns, 11 "verification paradigms" are proposed in this paper, with each paradigm being a unique method to verify the evidence-based nature of AI in clinical decision-making. This paper also frames the concept of "clinically explainable, fair, and responsible, clinician-, expert-, and patient-in-the-loop AI." This model focuses on ensuring AI's comprehensibility, collaborative nature, and ethical grounding, advocating for AI to serve as an augmentative tool, with its decision-making processes being transparent and understandable to clinicians and patients. The integration of AI should enhance, not replace, the clinician's judgment and should involve continuous learning and adaptation based on real-world outcomes and ethical and legal compliance. In conclusion, while generative AI holds immense promise in enhancing clinical decision-making, it is essential to ensure that it produces evidence-based, reliable, and impactful knowledge. Using the outlined paradigms and approaches can help the medical and patient communities harness AI's potential while maintaining high patient care standards.

Overcoming boundaries: Interdisciplinary challenges and opportunities in cognitive neuroscience.

Cognitive neuroscience has considerable untapped potential to translate our understanding of brain function into applications that maintain, restore, or enhance human cognition. Complex, real-world phenomena encountered in daily life, professional contexts, and in the arts, can also be a rich source of information for better understanding cognition, which in turn can lead to advances in knowledge and health outcomes. Interdisciplinary work is needed for these bi-directional benefits to be realized. Our cognitive neuroscience team has been collaborating on several interdisciplinary projects: hardware and software development for brain stimulation, measuring human operator state in safety-critical robotics environments, and exploring emotional regulation in actors who perform traumatic narratives. Our approach is to study research questions of mutual interest in the contexts of domain-specific applications, using (and sometimes improving) the experimental tools and techniques of cognitive neuroscience. These interdisciplinary attempts are described as case studies in the present work to illustrate non-trivial challenges that come from working across traditional disciplinary boundaries. We reflect on how obstacles to interdisciplinary work can be overcome, with the goals of enriching our understanding of human cognition and amplifying the positive effects cognitive neuroscientists have on society and innovation.

Decolonizing nursing knowledge: Challenging Eurocentrism centering Global South voices.

BACKGROUND: Exploring decolonization in nursing knowledge, particularly through Latin American nursologists, is crucial. Initially focused on underrecognized thought schools in Latin America and the concept of "Cuidado" versus Eurocentric paradigms, this paper extends the discussion on decolonization as potentially colonizing. PURPOSE: This paper examines the decolonization discourse in nursing reinforcing colonization, arguing that the nursing metaparadigm remains Eurocentric, neglecting Global South contributions. METHODS: The article critically discusses emerging theoretical ideas and situational theories from Latin America relevant to decolonizing nursing knowledge, providing analysis and proposing decolonization paths in nursing. DISCUSSION: The paper calls for genuine decolonization, urging Global North scholars to engage with indigenous, marginalized, and non-Western perspectives. It stresses the importance of acknowledging historical injustices, fostering cultural sensitivity, and revising nursing curricula for inclusivity and equity. CONCLUSION: Ultimately, the paper advocates for a transformative approach to nursing knowledge that challenges colonial legacies, promoting a more inclusive and equitable field.

System Architecture for VR Yoga Therapy Platform with 6-DoF Whole-Body Avatar Tracking.

Chronic pain is a leading cause of morbidity among children and adolescents affecting 35% of the global population. Pediatric chronic pain management requires integrative health methods spanning physical and psychological subsystems through various mind-body interventions. Yoga therapy is one such method, known for its ability to improve the quality of life both physically and psychologically in chronic pain conditions. However, maintaining the clinical outcomes of personalized yoga therapy sessions at-home is challenging due to fear of movement, lack of motivation, and boredom. Virtual Reality (VR) has the potential to bridge the gap between the clinic and home by motivating engagement and mitigating pain-related anxiety or fear of movement. We developed a multi-modal algorithmic architecture for fusing real-time 3D human body pose estimation models with custom developed inverse kinematics models of physical movement to render biomechanically informed 6-DoF whole-body avatars capable of embodying an individual's real-time yoga poses within the VR environment. Experiments conducted among control participants demonstrated superior movement tracking accuracy over existing commercial off-the-shelf avatar tracking solutions, leading to successful embodiment and engagement. These findings demonstrate the feasibility of rendering virtual avatar movements that embody complex physical poses such as those encountered in yoga therapy. The impact of this work moves the field one step closer to an interactive system to facilitate at-home individual or group yoga therapy for children with chronic pain conditions.

Rapid assessment of peripheral visual crowding.

Visual crowding, the phenomenon in which the ability to distinguish objects is hindered in cluttered environments, has critical implications for various ophthalmic and neurological disorders. Traditional methods for assessing crowding involve time-consuming and attention-demanding psychophysical tasks, making routine examination challenging. This study sought to compare trial-based Alternative Forced-Choice (AFC) paradigms using either manual or eye movement responses and a continuous serial search paradigm employing eye movement responses to evaluate their efficiency in rapidly assessing peripheral crowding. In all paradigms, we manipulated the orientation of a central Gabor patch, which could be presented alone or surrounded by six Gabor patches. We measured participants' target orientation discrimination thresholds using adaptive psychophysics to assess crowding magnitude. Depending on the paradigm, participants either made saccadic eye movements to the target location or responded manually by pressing a key or moving a mouse. We compared these paradigms in terms of crowding magnitude, assessment time, and paradigm demand. Our results indicate that employing eye movement-based paradigms for assessing peripheral visual crowding yields results faster compared to paradigms that necessitate manual responses. Furthermore, when considering similar levels of confidence in the threshold measurements, both a novel serial search paradigm and an eye movement-based 6AFC paradigm proved to be the most efficient in assessing crowding magnitude. Additionally, crowding estimates obtained through either the continuous serial search or the 6AFC paradigms were consistently higher than those obtained using the 2AFC paradigms. Lastly, participants did not report a clear difference between paradigms in terms of their perceived demand. In conclusion, both the continuous serial search and the 6AFC eye movement response paradigms enable a fast assessment of visual crowding. These approaches may potentially facilitate future routine crowding assessment. However, the usability of these paradigms in specific patient populations and specific purposes should be assessed.

Predicting superconducting transition temperature through advanced machine learning and innovative feature engineering.

Superconductivity is a remarkable phenomenon in condensed matter physics, which comprises a fascinating array of properties expected to revolutionize energy-related technologies and pertinent fundamental research. However, the field faces the challenge of achieving superconductivity at room temperature. In recent years, Artificial Intelligence (AI) approaches have emerged as a promising tool for predicting such properties as transition temperature (Tc) to enable the rapid screening of large databases to discover new superconducting materials. This study employs the SuperCon dataset as the largest superconducting materials dataset. Then, we perform various data pre-processing steps to derive the clean DataG dataset, containing 13,022 compounds. In another stage of the study, we apply the novel CatBoost algorithm to predict the transition temperatures of novel superconducting materials. In addition, we developed a package called Jabir, which generates 322 atomic descriptors. We also designed an innovative hybrid method called the Soraya package to select the most critical features from the feature space. These yield R2 and RMSE values (0.952 and 6.45 K, respectively) superior to those previously reported in the literature. Finally, as a novel contribution to the field, a web application was designed for predicting and determining the Tc values of superconducting materials.

GenIA, the Genetic Immunology Advisor database for inborn errors of immunity.

BACKGROUND: To date, no publicly accessible platform has captured and synthesized all of the layered dimensions of genotypic, phenotypic, and mechanistic information published in the field of inborn errors of immunity (IEIs). Such a platform would represent the extensive and complex landscape of IEIs and could increase the rate of diagnosis in patients with a suspected IEI, which remains unacceptably low. OBJECTIVE: Our aim was to create an expertly curated, patient-centered, multidimensional IEI database that enables aggregation and sophisticated data interrogation and promotes involvement from diverse stakeholders across the community. METHODS: The database structure was designed following a subject-centered model and written in Structured Query Language (SQL). The web application is written in Hypertext Preprocessor (PHP), Hypertext Markup Language (HTML), Cascading Style Sheets (CSS), and JavaScript. All data stored in the Genetic Immunology Advisor (GenIA) are extracted by manually reviewing published research articles. RESULTS: We completed data collection and curation for 24 pilot genes. Using these data, we have exemplified how GenIA can provide quick access to structured, longitudinal, more thorough, comprehensive, and up-to-date IEI knowledge than do currently existing databases, such as ClinGen, Human Phenotype Ontology (HPO), ClinVar, or Online Mendelian Inheritance in Man (OMIM), with which GenIA intends to dovetail. CONCLUSIONS: GenIA strives to accurately capture the extensive genetic, mechanistic, and phenotypic heterogeneity found across IEIs, as well as genetic paradigms and diagnostic pitfalls associated with individual genes and conditions. The IEI community's involvement will help promote GenIA as an enduring resource that supports and improves knowledge sharing, research, diagnosis, and care for patients with genetic immune disease.

Methodologies for assessing morphosyntactic ability in people with Alzheimer's disease.

BACKGROUND: The detection and description of language impairments in neurodegenerative diseases like Alzheimer's Disease (AD) play an important role in research, clinical diagnosis and intervention. Various methodological protocols have been implemented for the assessment of morphosyntactic abilities in AD; narrative discourse elicitation tasks and structured experimental tasks for production, offline and online structured experimental tasks for comprehension. Very few studies implement and compare different methodological protocols; thus, little is known about the advantages and disadvantages of each methodology. AIMS: To discuss and compare the main behavioral methodological approaches and tasks that have been used in psycholinguistic research to assess different aspects of morphosyntactic production and comprehension in individuals with AD at the word and sentence levels. METHODS: A narrative review was conducted through searches in the scientific databases Google Scholar, Scopus, Science Direct, MITCogNet, PubMed. Only studies written in English, that reported quantitative data and were published in peer-reviewed journals were considered with respect to their methodological protocol. Moreover, we considered studies that reported research on all stages of the disease and we included only studies that also reported results of a healthy control group. Studies that implemented standardized assessment tools were not considered in this review. OUTCOMES & RESULTS: The main narrative discourse elicitation tasks implemented for the assessment of morphosyntactic production include interviews, picture-description and story narration, whereas the main structured experimental tasks include sentence completion, constrained sentence production, sentence repetition and naming. Morphosyntactic comprehension in AD has been assessed with the use of structured experimental tasks, both offline (sentence-picture matching, grammaticality judgment) and online (cross-modal naming,speeded sentence acceptability judgment, auditory moving window, word detection, reading). For each task we considered studies that reported results from different morphosyntactic structures and phenomena in as many different languages as possible. CONCLUSIONS & IMPLICATIONS: Our review revealed strengths and weaknesses of these methods but also directions for future research. Narrative discourse elicitation tasks as well as structured experimental tasks have been used in a variety of languages, and have uncovered preserved morphosyntactic production but also deficits in people with AD. A combination of narrative discourse elicitation and structured production tasks for the assessment of the same morphosyntactic structure has been rarely used. Regarding comprehension, offline tasks have been implemented in various languages, whereas online tasks have been mainly used in English. Offline and online experimental paradigms have often produced contradictory results even within the same study. The discrepancy between the two paradigms has been attributed to the different working memory demands they impose to the comprehender or to the different parsing processes they tap. Strengths and shortcomings of each methodology are summarized in the paper, and comparisons between different tasks are attempted when this is possible. Thus, the paper may serve as a methodological guide for the study of morphosyntax in AD and possibly in other neurodegenerative diseases. WHAT THIS PAPER ADDS: What is already known on this subject For the assessment of morphosyntactic abilities in AD, various methodological paradigms have been implemented: narrative discourse elicitation tasks and structured experimental tasks for production, and offline and online structured experimental tasks for comprehension. Very few studies implement and compare different methodological protocols; thus, little is known about the advantages and disadvantages of each methodology. What this paper adds to existing knowledge The paper presents an overview of methodologies that have been used to assess morphosyntactic production and comprehension of people with AD at the word and sentence levels. The paper summarizes the strengths and shortcomings of each methodology, providing both the researcher and the clinician with some directions in their endeavour of investigating language in AD. Also, the paper highlights the need for further research that will implement carefully scrutinized tasks from various experimental paradigms and will explore distinct aspects of the AD patients' morphosyntactic abilities in typologically different languages. What are the potential or actual clinical implications of this work? The paper may serve as a reference point for (psycho-)linguists who wish to study morphosyntactic abilities in AD, and for speech and language therapists who might need to apply morphosyntactic protocols to their patients in order to assess them or design appropriate therapeutic interventions for production and comprehension deficits.

Involving Voters and Consumers in Decision-Making about the Health Care System - The Swiss Case: A Review.

BACKGROUND: Behind the principle of involving users and voters directly in decision-making about the health care system are ideas relating to empowerment. This implies a challenge to the traditional view that scientific knowledge is generally believed to be of higher value than empirical knowledge, as it is the case with CAM. The objectives of this review are (a) to show that this assumption disregards the fact that CAM is as scientific as conventional medicine but has different basic assumptions what the world is being made of and consequently uses different/adapted scientific methods; (b) to demonstrate how a perspective of the history of medicine and science as well as direct democracy mechanisms such as stipulated in the Swiss constitution can be used to achieve the acceptance of CAM in a modern medical health care system. A public health care system financed by levies from the population should also reflect the widely documented desire in the population for medical pluralism (provided that therapeutical alternatives are not risky). Otherwise, the problem of social inequality arises because only people with a good financial background can afford this medicine. SUMMARY: From the perspective of scientific theory and the history of science, the answer to the question of whether complementary medicine and conventional medical procedures must provide proof of efficacy according to a uniform scientific is quite controversial according to epistemologically oriented studies on this issue. KEY MESSAGES: This review found strong evidence for involving voters and consumers directly in decision-making about the provision of CAM in the health care system. It also seems necessary to step back in the debate on evidence-based medicine, taking a history of medicine and science perspective, as the role which the proper method occupies and plays in medicine is defined by the scientific nature of the world view.Hinter dem Grundsatz, Nutzer und Wähler direkt in die Entscheidungsfindung über das Gesundheitssystem einzubeziehen, stehen Vorstellungen von Empowerment. Dies impliziert eine Infragestellung der traditionellen Ansicht, dass wissenschaftliches Wissen im Allgemeinen als wertvoller angesehen wird als empirisches Wissen und erprobte Erfahrung, wie es bei der Komplementärmedizin der Fall ist. Die Ziele dieser Übersichtsarbeit sind: (a) zu zeigen, dass diese Annahme die Tatsache außer Acht lässt, dass die Komplementärmedizin ebenso wissenschaftlich ist wie die Schulmedizin, aber von anderen Grundannahmen ausgeht, wie die Welt beschaffen ist, und folglich andere/angepasste wissenschaftliche Methoden anwendet; (b) aufzuzeigen, wie eine medizin- und wissenschaftsgeschichtliche Perspektive sowie Mechanismen der direkten Demokratie, wie sie in der Schweizer Verfassung vorgesehen sind, genutzt werden können, um die Akzeptanz der Komplementärmedizin in einem modernen medizinischen Gesundheitssystem zu erreichen. Ein öffentliches, durch Abgaben der Bevölkerung finanziertes Gesundheitssystem sollte auch dem vielfach dokumentierten Wunsch der Bevölkerung nach medizinischem Pluralismus Rechnung tragen (sofern die therapeutischen Alternativen nicht riskant sind). Andernfalls stellt sich das Problem der sozialen Ungleichheit, weil sich nur Menschen mit einem guten finanziellen Hintergrund diese Medizin leisten können.

Feedforward connectivity patterns from visual areas to the front of the brain contain information about sensory stimuli regardless of awareness or report.

Current theories of consciousness can be categorized to some extent by their predictions about the putative role of the prefrontal cortex (PFC) in conscious perception. One family of the theories proposes that the PFC is necessary for conscious perception. The other postulates that the PFC is not necessary and that other areas (e.g., posterior cortical areas) are more important for conscious perception. No-report paradigms could potentially arbitrate the debate as they disentangle task reporting from conscious perception. While previous no-report paradigms tend to point to a reduction in PFC activity, they have not examined the critical role of the PFC in "monitoring" or "reading out" the patterns of activity in the sensory cortex to generate conscious perception. To address this, we reanalysed electroencephalography (EEG) data from a no-report inattentional blindness paradigm (Shafto & Pitts, 2015). We examined the role of feedforward input patterns to the PFC from sensory cortices. We employed nonparametric spectral Granger causality and quantified the amount of information that reflected the contents of consciousness using multivariate classifiers. Unexpectedly, regardless of whether the stimulus was consciously seen or not, we found that information relating to the current sensory stimulus was present in the pattern of inputs from visual areas to the PFC. In light of these findings, we suggest various theories of consciousness need to be revised to accommodate the fact that the contents of consciousness are decodable from the input patterns from posterior sensory regions to the PFC, regardless of awareness (or report).

Neurophysiological and neuropsychological parameters in patients with temporal lobe epilepsy.

Temporal lobe epilepsy (TLE) is the most common type of localization-related epilepsy (LRE) and has been extensively studied in the field of neuropsychology due to its significant association with cognitive impairments. Cognitive decline has long been recognized as a consequence of this form of epilepsy, with previous studies primarily focusing on neurophysiological measures. In this study, both neurophysiological and neuropsychological factors were analyzed in TLE patients compared to healthy control subjects. The Montreal Cognitive Assessment (MoCA) and Mini Mental State Examination (MMSE) tests were used to assess neuropsychological processes, while cognitive event-related potential (ERPs), particularly P300, were employed to analyze neurophysiological parameters. The study involved 21 TLE patients (mean age = 61.43) and 21 healthy control subjects. The results revealing that TLE patients scored significantly lower, indicating deficits in specific cognitive areas. The study also observed abnormalities in the ERPs, particularly in the assessment of P300 amplitude and latency, that may be indicative of underlying neural dysfunction related to attention and cognitive processing. In conclusion, the study provides compelling evidence of the association between TLE and a high incidence of cognitive deficits and decline. By considering both neurophysiological and neuropsychological factors, the study sheds light on the comprehensive impact of TLE on various cognitive domains and emphasizes the importance of early identification and management of cognitive impairments in TLE patients.

Paradigms unfolded - developing, validating, and evaluating the Medical Education e-Professionalism framework from a philosophical perspective.

In order to ensure a strong research design, literature stresses the adoption of a research paradigm that is consistent with the researcher's beliefs about the nature of reality. In this article we provide an overview of research paradigm choices in relation to the creation of a Medical Education e-Professionalism (MEeP) framework discussing the research design, research methods, data collection and analysis to enhance the transparency of our previously published research. The MEeP framework was conceived to help Health Care Professionals (HCPs) safeguard the construct of professionalism in the digital context. This entire process was heavily informed by wider readings and deliberations of published literature on e-professionalism. Although the MEeP framework research journey has been published, the paradigms approach was not discussed in any detail. Considering that one of the duties of medical educator is to balance the service and science by bringing the theoretical underpinnings of one's research to public attention and scrutiny so as to nullify the notion of 'weak' research. We were compelled to unfold this paradigm story of the MEeP framework in a detailed manner. In an effort to make our research both robust and effective, this study portrays a philosophical approach to guide future research designs and methodological choices by detailing our rationale for pragmatism as a choice of paradigm.

A Virtual Reality Exergame: Clinician-Guided Breathing and Relaxation for Children with Muscular Dystrophy.

This study introduces a VR-based breathing and relaxation exergame tailored for individuals with Duchenne muscular dystrophy (DMD). DMD is a rare neuromuscular disease that leads to respiratory muscle dysfunction with anxiety being a common comorbidity. Clinical management requires frequent visits to rare disease specialists to manage symptom progression. Limited availability and/or proximity of rare disease experts present challenges to care and can lead to missed care opportunities and reduced quality of life. We propose a breathing and relaxation exergame with remote telehealth applicability that incorporates shared patient-clinician VR interaction, and physiological sensors that provide both real-time feedback to the patient and health analytics for the clinician. The game focuses on two key aspects of DMD clinical care that can be mediated through control of breathing: relaxation/mindfulness training and respiratory muscle exercise. The system was evaluated among 13 individuals, including 4 participants with DMD. Feedback surveys, interviews, and focus group discussions with participants, accompanying family members, and clinicians demonstrated the feasibility of this VR tool for telehealth or as part of a home exercise program.

A small-molecule TLR4 antagonist reduced neuroinflammation in female E4FAD mice.

BACKGROUND: APOE genotype is the greatest genetic risk factor for sporadic Alzheimer's disease (AD). APOE4 increases AD risk up to 12-fold compared to APOE3, an effect that is greater in females. Evidence suggests that one-way APOE could modulate AD risk and progression through neuroinflammation. Indeed, APOE4 is associated with higher glial activation and cytokine levels in AD patients and mice. Therefore, identifying pathways that contribute to APOE4-associated neuroinflammation is an important approach for understanding and treating AD. Human and in vivo evidence suggests that TLR4, one of the key receptors involved in the innate immune system, could be involved in APOE-modulated neuroinflammation. Consistent with that idea, we previously demonstrated that the TLR4 antagonist IAXO-101 can reduce LPS- and Aß-induced cytokine secretion in APOE4 glial cultures. Therefore, the goal of this study was to advance these findings and determine whether IAXO-101 can modulate neuroinflammation, Aß pathology, and behavior in mice that express APOE4. METHODS: We used mice that express five familial AD mutations and human APOE3 (E3FAD) or APOE4 (E4FAD). Female and male E4FAD mice and female E3FAD mice were treated with vehicle or IAXO-101 in two treatment paradigms: prevention from 4 to 6 months of age or reversal from 6 to 7 months of age. Learning and memory were assessed by modified Morris water maze. Aß deposition, fibrillar amyloid deposition, astrogliosis, and microgliosis were assessed by immunohistochemistry. Soluble levels of Aß and apoE, insoluble levels of apoE and Aß, and IL-1ß were measured by ELISA. RESULTS: IAXO-101 treatment resulted in lower Iba-1 coverage, lower number of reactive microglia, and improved memory in female E4FAD mice in both prevention and reversal paradigms. IAXO-101-treated male E4FAD mice also had lower Iba-1 coverage and reactivity in the RVS paradigm, but there was no effect on behavior. There was also no effect of IAXO-101 treatment on neuroinflammation and behavior in female E3FAD mice. CONCLUSION: Our data supports that TLR4 is a potential mechanistic therapeutic target for modulating neuroinflammation and cognition in APOE4 females.

Five urban health research traditions: A meta-narrative review.

Urban health scholars explore the connection between the urban space and health through ontological perspectives that are shaped by their disciplinary traditions. Without explicit recognition of the different approaches, there are barriers to collaboration. This paper maps the terrain of the urban health scholarship to identify key urban health research traditions; and to articulate the main features distinguishing these different traditions. We apply a meta-narrative review guided by a bibliometric co-citation network analysis to the body of research on urban health retrieved from the Web of Science Core Collection. Five urban health research traditions were identified: (1) sustainable urban development, (2) urban ecosystem services, (3) urban resilience, (4) healthy urban planning, and (5) urban green spaces. Each research tradition has a different conceptual and thematic perspective to addressing urban health. These include perspectives on the scale of the urban health issue of interest, and on the conceptualisation of the urban context and health. Additionally, we developed a framework to allow for better differentiation between the differing research traditions based on (1) perspectives of the urban system as complicated or complex, (2) the preferred locus of change as a function of structure and agency and (3) the geographic scale of the urban health issue that is addressed. These dimensions have even deeper implications for transdisciplinary collaboration as they are underpinned by paradigmatic differences, rather than disciplinary differences. We conclude that it is essential for urban health researchers to reflect on the different urban health approaches and seek coherence by understanding their similarities and differences. Such endeavours are required to produce and interpret transdisciplinary knowledge for the goal of improving health by transforming urban systems.

Listen to Us: Perceptions of Animal Voice and Agency.

In many contexts, the interests of nonhuman animals (hereafter "animals") are often overlooked or considered to be a lower priority than those of humans. While strong arguments exist for taking animal moral claims seriously, these largely go unheard due to dominant anthropocentric attitudes and beliefs. This study aimed to explore how animal interests might be best represented in the human world. We conducted interviews to investigate people's perceptions of what it means to speak for other animals and who can reliably represent animal interests. Using Grounded Theory analytical methods, we identified one major theme: "Animal voice", and its subthemes: "Animals do/do not have a voice", "Human language constructs realities and paradigms", and "Let animals speak". Our findings illustrate how human language constructs contribute to shaping the realities of animals by contextually defining them as voiceless. This has serious implications for animals, society, and the environment. Drawing parallels with the relevant literature, our results reflect calls for the social and political recognition of animal voice as fundamental to animal representation. We recommend future research to focus on developing ethical and compassionate approaches to understanding animal subjective experiences to empower and amplify animal voices.