Context Of Research Research Articles

The experience and implications of pain in systemic lupus erythematosus: A qualitative interview study focusing on the patient's perspective.

Pain is one of the most frequently reported symptoms and often one of the first subjective symptoms in patients with systemic lupus erythematosus (SLE). A previous study indicated that most patients with SLE reported low levels of SLE-related pain. However, a subgroup of patients reported high levels of pain ≥40mm (0-100mm) and had a substantial symptom burden in terms of fatigue, anxiety, depression, and reduced health-related quality of life. Thus, there is a need to elucidate the implications of high levels of pain in everyday life. This study explored the patient's experiences and implications of SLE-related pain in daily life and the support requested from healthcare providers. A total of 20 patients, previously reported high levels of SLE-related pain intensity measuring ≥40mm (0-100mm) in a research context at one or two occasions participated in individual semi-structured interviews, which were transcribed and analysed with content analysis. The interviews revealed four main categories and 13 generic categories. SLE-associated pain was described by its multifaceted nature, exhibiting longstanding, unpredictable, migrating, and various physical sensations. The pain entailed multidimensional consequences, restricting everyday life by interfering with roles and relationships and causing various emotions, including existential thoughts. The informants used comprehensive strategies to deal with the pain, including their inner resources, support from family and significant others, and pharmaceuticals and relieving treatments. They expressed the need for security and acknowledgement, which involved individualized support and accessibility of healthcare. This study provides comprehensive insights into the nature and multifaceted impact of SLE-related pain in different dimensions of the informants' daily lives. Except for medications the informants used several strategies, including their inner resources and support from family and others, to manage the pain. Support requested from healthcare providers by the informants included understanding, compassion, individualized care and accessibility.

Hunting bag statistics of wild mammals in Portugal (1989–2022): on the need to improve data report and compilation

Wildlife monitoring is key for the effective management of natural resources. Hunting-based data (e.g., hunting bag statistics) is an important source of information to overcome the financial constraints imposed to long-term monitoring. Here, taking advantage of three decades (1989–2022) of hunting bag statistics of wild mammals in Portugal, we present the trends and discuss the issues regarding nine game species (five wild ungulates, two carnivores and two lagomorphs). Our results show that hunting bag statistics mirror the general population trends of wild mammal populations at a national scale. The data reflects the increase in number and distribution of roe deer, red deer and wild boar, and the recent expansion experienced by the Egyptian mongoose. The decline in the numbers of European wild rabbit and Iberian hare harvested are also noticeable. Hunting-based data have been used in several research contexts; however, this information is usually affected by geographical, temporal and recording bias. Portugal is no exception. Engaging the interested stakeholders is pivotal to ensure data quality. By reporting reliable and systematically collected hunting data, game managers and wildlife researchers will be able to better understand the main drivers of population dynamics, adjust hunting bags towards sustainable yield and assess the ecological and socio-economic relevance of the hunting sector.

Development and validation of the Upstream Social Interaction Risk Scale (U-SIRS-13): a scale to assess threats to social connectedness among older adults.

Social interactions are essential to social connectedness among older adults. While many scales have been developed to measure various aspects of social connectedness, most are narrow in scope, which may not be optimally encompassing, practical, or relevant for use with older adults across clinical and community settings. Efforts are needed to create more sensitive scales that can identify "upstream risk," which may facilitate timey referral and/or intervention. The purposes of this study were to: (1) develop and validate a brief scale to measure threats to social connectedness among older adults in the context of their social interactions; and (2) offer practical scoring and implementation recommendations for utilization in research and practice contexts. A sequential process was used to develop the initial instrument used in this study, which was then methodologically reduced to create a brief 13-item scale. Relevant, existing scales and measures were identified and compiled, which were then critically assessed by a combination of research and practice experts to optimize the pool of relevant items that assess threats to social connectedness while reducing potential redundancies. Then, a national sample of 4,082 older adults ages 60 years and older completed a web-based questionnaire containing the initial 36 items about social connection. Several data analysis methods were applied to assess the underlying dimensionality of the data and construct measures of different factors related to risk, including item response theory (IRT) modeling, clustering techniques, and structural equation modeling (SEM). IRT modeling reduced the initial 36 items to create the 13-item Upstream Social Interaction Risk Scale (U-SIRS-13) with strong model fit. The dimensionality assessment using different clustering algorithms supported a 2-factor solution to classify risk. The SEM predicting highest risk items fit exceptionally well (RMSEA = 0.048; CFI = 0.954). For the 13-item scale, theta scores generated from IRT were strongly correlated with the summed count of items binarily identifying risk (r = 0.896, p < 0.001), thus supporting the use of practical scoring techniques for research and practice (Cronbach's alpha = 0.80). The U-SIRS-13 is a multidimensional scale with strong face, content, and construct validity. Findings support its practical utility to identify threats to social connectedness among older adults posed by limited physical opportunities for social interactions and lacking emotional fulfillment from social interactions.

ForestQB: Enhancing Linked Data Exploration through Graphical and Conversational UIs Integration

This article introduces the Forest Query Builder (ForestQB), an innovative toolkit designed to enhance the exploration and application of observational Linked Data (LD) within the field of wildlife research and conservation. Addressing the challenges faced by non-experts in navigating Resource Description Framework (RDF) triplestores and executing SPARQL queries, ForestQB employs a novel integrated approach. This approach combines a graphical user interface (GUI) with a conversational user interface (CUI), thereby greatly simplifying the process of query formulation and making observational LD accessible to users without expertise in RDF or SPARQL. Developed through insights derived from a comprehensive ethnographic study involving wildlife researchers, ForestQB is specifically designed to improve the accessibility of SPARQL endpoints and facilitate the exploration of observational LD in wildlife research contexts. To evaluate the effectiveness of our approach, we conducted a user experiment. The results of this evaluation affirm that ForestQB is not only efficient and user-friendly but also plays a crucial role in eliminating barriers for users, facilitating the effective use of observational LD in wildlife conservation and extending its benefits to wider domains. (GitHub Link: github.com/i3omar/ForestQB).

Do concepts of individuality account for individuation practices in studies of host-parasite systems? A modeling account of biological individuality.

In recent discussions, the widespread conviction that scientific individuation practices are governed by theories and concepts of biological individuality has been challenged, particularly by advocates of practice-based approaches. This discussion raises questions about the relationship between individuation practices and concepts of individuality. In this paper, I discuss four studies of host-parasite systems and analyze the respective individuation practices to see whether they correspond to established concepts of biological individuality. My analysis suggests that scientists individuate biological systems on different levels of organization and that the researchers' respective emphasis on one of the levels depends on the explanandum and research context as well as epistemic aims and purposes. It thus makes sense to use different concepts of individuality to account for different individuation practices. However, not all individuation practices are represented equally well by concepts of biological individuality. To account for this observation, I propose that concepts of individuality should be understood as abstracted, idealized, or simplified models that represent only certain aspects of scientific practice. A modeling account suggests a pluralistic view of concepts of biological individuality that not only allows the coexistence of different kinds of individuality (e.g., evolutionary individuality, immunological individuality, ecological individuality) but also of normative and descriptive concepts.

Mapping the terrain of global research trajectory of international doctoral students: a bibliometric review

ABSTRACT Significant changes in global doctoral education have occurred in recent decades. Many countries have adopted strategies to intensify and expand their doctoral education. Meanwhile, the number of doctoral students globally has increased, with a notable surge in the enrollment of international doctoral students (IDS). Previous studies have investigated IDS-related issues such as students’ motivations, learning experiences, and post-graduate development; yet a comprehensive review of the existing literature on IDS is lacking. This study reviews the IDS literature since the year 2000, aiming to unveil the landscape of contemporary IDS research within a fast-changing context of global doctoral education. Using bibliometric analysis and data retrieved from Web of Science, we examine trends in IDS publications, key authors, influential journals, geographic distribution by countries and institutions, and significant research themes within IDS studies. The concept of asymmetry is used to interpret the findings, which contribute to a critical understanding of the current landscape of IDS research. The findings serve as valuable references for examining the dynamic and changing context of IDS research, providing valuable insights for future studies.

Using Duoethnography to Connect the Disability Justice Principles to Education Research about Disabled Populations on Campus

The terms disability inclusion, disability rights, and disability justice are often used somewhat interchangeably, but have distinct meanings within academe more broadly and academic research contexts. The purpose of this investigation was to explore these concepts in relation to our research and present the way in which we (as education researchers) grappled with what a critical, disability justice-informed research methodology involves. We used a qualitative, duoethnographic research approach as it is both a reflection of social justice and a method to advance it (Sawyer &amp; Norris, 2013). We engaged in virtual, asynchronous and synchronous dialogues in writing and audio formats to reflect, critique, question, and eventually, generate new ideas and ways of moving forward. In the paper, we first consider how the Disability Justice Principles from Sins Invalid (2019) could be connected to our current research practices using two questions about ethical considerations as well as research methodologies and frameworks. We then theorize how education researchers can intentionally incorporate activism throughout each stage of the research process. A Disability Justice-informed education research framework is proposed for use with research about disabled populations in higher education. This framework addresses the relationship between stages of the research process, disability inclusion, and disability justice, which was the ongoing debate throughout our dialogues.

Latent growth mixture models as latent variable multigroup factor models: Comment on McNeish et al. (2023).

McNeish et al. argue for the general use of covariance pattern growth mixture models because these models do not involve the assumption of random effects, demonstrate high rates of convergence, and are most likely to identify the correct number of latent subgroups. We argue that the covariance pattern growth mixture model is a single random intercept model. It and other models considered in their article are special cases of a general model involving slope and intercept factors. We argue growth mixture models are multigroup invariance hypotheses based on unknown subgroups. Psychometric models in which trajectories are modeled using slope factor loadings which vary by latent subgroup are often conceptually preferable. Convergence rates for mixture models can be substantially improved by using a variance component start value taken from analyses with one fewer class and by specifying multifactor models in orthogonal form. No single latent growth model is appropriate across all research contexts and, instead, the most appropriate latent mixture model must be "right-sized" to the data under consideration. Reanalysis of a real-world longitudinal data set of posttraumatic stress disorder symptomatology reveals a three-group model involving exponential decline, further suggesting that the four-group "cat's cradle" pattern frequently reported is artefactual. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Social relations among older gay men and trans women in Chile: Diverse, intimate, functional and reciprocal networks

Although LGTBIQ+ groups have experienced social transformations towards greater levels of respect and public presence in Chile in recent decades, the life trajectories of older people remain marginal in studies and surveys regarding sexual and gender diversity. In a society where homophobia is a current and oppressive attitude despite important advances, it is essential to examine the experiences of older LGBTIQ+ people, especially because they are vulnerable to dual discrimination in old age owing to a combination of homophobia and ageism. This study involved an analysis of social ties based on the Convoy Model, to understand how different life courses have influenced the structuring of social networks in old age among gay men and trans women in Chile. Framed within the context of broader research into four axes of diversity in ageing, this study reports the results of thirteen biographies of older people (ten gay men and three trans women). In-depth interviews were conducted using a biographical approach in which the social links that accompany the life course are deepened. A thematic analysis strategy was applied and the interview data were processed through NVivo. The findings show three concentric circles surrounding the participants: closest (made up of partner, immediate family and chosen family), closer (made up biological and extended family) and close (made up of peers and neighbours). The older people are integrated into social networks with diverse compositions, share closeness and intimacy, receive emotional, informational and instrumental social support, and are active providers of reciprocal support. However, the study notes certain risk factors, such as the difficulty of cohabiting and maintaining relationships with a partner. Participants living alone reported fearing an absence of instrumental support during more advanced stages of the ageing process.

CLONING OF CDNA-GENE OF ARABIDOPSIS THALIANA RIBOSOMAL PROTEIN S6, ITS EXPRESSION IN ESCHERICHIA COLI AND PURIFICATION OF ATRPS6B1 RECOMBINANT PROTEIN

Living organisms must adapt their growth and development in response to external factors like stress and nutrient availability throughout their lifespan. Consequently, they have evolved various regulatory pathways to enhance environmental perception and facilitate necessary metabolic adjustments. These pathways involve key proteins that, under stress and nutrient limitation, initiate anabolic and catabolic cellular processes. One critical pathway present in all eukaryotes involves the protein kinase TOR (Target of rapamycin), a large kinase that governs numerous biological processes, including the activation of S6K kinase, which phosphorylates the S6 protein (RPS6). Crystal structures have revealed the precise location of RPS6 within the 40S ribosomal subunit, highlighting structural features such as the C-terminal helix containing multiple phosphorylation sites. RPS6 primarily regulates mechanisms controlling cell growth and division. In plants, eS6 is encoded by two conserved genes, and its activation and phosphorylation are closely linked to S6Ks. Recent studies emphasize the significance of S6 protein phosphorylation as a key event in signaling pathways related to cell growth and survival factors, crucially regulating translation initiation and protein synthesis. S6 protein can be phosphorylated on various serine and threonine residues by S6K kinase, and further research shows its interaction with other molecules and proteins, expanding its functional roles in cell signaling. Further exploration of ribosomal protein S6 could unveil new insights into its molecular interactions, roles in cellular physiology and pathophysiology, and potential applications in enhancing plant biomass and yield. This study involved cloning and site-directed mutagenesis of cDNA for the second isoform of AtRPS6 protein (AtRPS6B), followed by expression of natural and phosphomimetic forms of the protein in E. coli ArcticExpress (DE3) cells. The proteins were then purified using metal-chelate affinity chromatography (IMAC), and their presence and degree of purification were confirmed via Western blotting. These findings contribute to the broader research context surrounding ribosomal protein S6. RPS6, a key effector in the TOR signaling pathway, plays a crucial role in regulating ribosome biosynthesis by controlling transcription and translation processes. Phosphorylation of RPS6, indicative of S6K activity, is associated with actively dividing cells. However, the precise role of RPS6 in ribosome biosynthesis regulation remains a subject of ongoing investigation. The data obtained from the study on AtRPS6B expand our understanding of the molecular mechanisms underlying ribosomal biosynthesis regulation. These insights may significantly contribute to our knowledge of the interplay between signaling pathways, ribosomal proteins, cellular metabolism, and offer new perspectives for therapeutic interventions targeting cellular processes associated with ribosomes.

Development of the Better Research Interactions for Every Family (BRIEF) intervention to support recruitment for neonatal clinical trials: an intervention mapping guided approach

BackgroundRecruitment for neonatal clinical trials can be particularly challenging. Low enrollment rates bias the research population and decrease generalizability of findings. We identified a critical need for an intervention to improve how researchers recruit for neonatal clinical trials. Working within the US neonatal research context, we developed the Better Research Interactions for Every Family (BRIEF) Intervention, which had two overarching goals: to improve the recruitment experience for all parents, focusing on minoritized populations, and to increase participation, focusing on decreasing disparities in research participation.MethodsWe used intervention mapping (IM) to guide all steps of intervention development. IM is a planning framework that provides a systematic process and detailed protocol for step-by-step decision-making for intervention development, implementation, and evaluation.ResultsWe performed IM’s six steps. In step 1, we convened two stakeholder groups, a parent panel and an expert panel, who provided guidance through development of all BRIEF components. Through a recent systematic review, empirical data collected by our team, and consultations with the panels, we identified key determinants (barriers and facilitators) of low enrollment rates and research team members as change agents. In step 2, we iteratively refined our list of key factors to include and linked determinants of behavior changes to these performance objectives. In step 3, we chose three theories (social cognitive theory, theory of information processing, and the trans-theoretical model), methods from identified practical applications suitable for the population (research team members) and the context (busy research NICU teams). In step 4, we developed and refined the intervention components, including self-guided pre-work and a single in-person session. In step 5, we identified the Darbepoetin plus slow-release intravenous iron trial as our partner study in which to pilot BRIEF. In step 6, we developed a multi-stage evaluation plan that included five distinct levels of outcomes.ConclusionsThis manuscript shares our rationale and processes for the creation of a research team member-facing intervention aiming to improve recruitment processes for neonatal clinical trials. Our approach can inform those aiming to improve recruitment for neonatal clinical trials and those who may be considering use of IM within similar contexts.

The Skill of Analysis and Synthesis for Teaching Research Competence: A Study in Higher Education

The ability to analyze and synthesize is a crucial cognitive skill in teachers' initial research training. This competence involves various mental actions for processing both theoretical and empirical information. It enables students to accurately present and understand their investigative experiences, fostering new knowledge from their interpretations. This research aims to evaluate student and teacher assessments during the research training regarding analysis and synthesis skill development. A mixed-method approach was used, with a qualitative focus through case studies. Results indicate that students engaged effectively in analysis and synthesis activities during training, demonstrating skill achievement. This success is linked to a supportive learning environment with participatory teaching methods and positive interactions among educators. Challenges encountered were addressed effectively, providing valuable insights for enhancing future training experiences in developing analytical and synthesis skills in teaching and research contexts.

Decades of research on international performance of SMEs; where are we and what are the priorities for the next decade?

PurposeSmall and medium-sized enterprises (SMEs) are highly concerned about every aspect of their international performance (IP) due to their limited resources. However, the literature has not given equal attention to every necessary aspect and has left some fields unexplored. Moreover, different approaches to assessing SME IP have made the literature even more fragmented. This research aims to identify the gaps in the research context and assessment methods of this concept.Design/methodology/approachA systematic literature review and a thematic analysis method are employed to review 272 journal papers published in high-quality journals.FindingsBy extracting six contexts in which the concept of international performance of SMEs has been analyzed, this study integrates the research themes with geographical domains and highlights which contexts require more attention. Moreover, this study provides a comprehensive review of the current state of this concept’s operationalization methods, illustrating the level of fragmentation and differences in the literature. Following the presentation of an enriched future research agenda, this study guides scholars on the current gaps and needs for research in specific contexts and domains while providing suggestions for a more cohesive assessment of the concept.Originality/valueThis study is the first to systematically review the research concerning the foreign performance of firms with less than 500 employees, extract their research context, illustrate uninvestigated fields and provide helpful suggestions about the concept’s operationalization method based on a comprehensive review of the extant assessment methods.

Preparing the developing world for the next pandemic: Evidence from China’s R&D blueprint for emerging infectious diseases

BackgroundWith double pressures of endemic and imported emerging infectious diseases (EIDs), China’s ability to detect, prevent and control the unknown virus is of regional and global interest. This study aimed to establish an R&D Blueprint for EIDs in China by identifying the list of prioritized diseases and medical countermeasures (MCMs) that need proactive actions for the next pandemic. MethodsThe process mainly referred to the World Health Organization’s prioritization methodology, supplemented by pipeline landscape, rapid risk assessment and multi-dimensional analysis. The study included five steps: 1) identifying potential pathogens, 2) screening into the long list, 3) prioritizing the long list, 4) identifying the final list and 5) generating an R&D Blueprint. ResultsChina’s R&D Blueprint identified 14 viral pathogens and two virus groups (i.e., Influenza HxNy and Coronavirus X) for proactive and representative MCM development. At least one diagnostic candidate in preclinical study, and one therapeutic and one vaccine candidate in Phase I/II clinical trials for each prioritized pathogen were suggested to be developed as strategic national stockpiles. Various generalized and innovative platform technologies were also highlighted for enhancing overall capacities of EID preparedness and response, covering basic research, experiment, detection, prevention and control, surveillance and information sharing. ConclusionsThis is the first study in developing countries that established an R&D Blueprint of prioritized diseases, countermeasures and technologies. Our findings could help to drive pre-emptive scientific and technological actions toward emerging pathogens that may cause the next epidemic and could provide evidence-based strategies for developing countries to establish their national health research agenda tailored to health and research context under resource-limited settings.

Network analysis of the relationship between different heart rate variability metrics during sleep

AbstractHeart rate variability (HRV) refers to the physiological phenomenon of variation in heartbeat duration, which can be characterized using various metrics. Considering a complex systems approach, in this study we used network modeling to quantitatively evaluate the relationship between different HRV metrics during sleep. Polysomnography recordings were performed on 24 healthy participants and their cardiac activity was sampled from the N2, N3, and REM sleep stages. Fifty-eight HRV metrics were calculated, and the relationship between each was assessed using mutual information (MI). One network was created for each sleep stage; HRV metrics constituted its nodes, and MI values were used to establish its edges. Repeated measures ANOVA was applied to each metric to assess variation between sleep stages. It was found that all three networks had characteristics of complex networks. Several communities of shared similar metrics were found across the three sleep stages. Of these, one community had the same metrics in stages N2 and N3, but in REM sleep was divided into three communities. REM sleep exhibited significant differences compared to the other sleep stages in several metrics. These preliminary findings allow us to suggest the application of this method in other HRV research contexts, which will determine its scope and limitations.

Cognitive Representations and Personal Experiences of COVID-19 Using Social Virtual Reality

Abstract In the wake of the global COVID-19 pandemic, understanding its psychological and social impacts has become a critical area of scientific inquiry. The pandemic's far-reaching consequences have been felt across diverse populations, prompting a need for innovative research methodologies to capture the breadth of individual experiences. This study addresses the challenge of articulating personal narratives during the pandemic by leveraging the capabilities of social virtual reality (VR) and digital storytelling, a method yet to be fully explored in pandemic-related research. Here, we show that by integrating photogrammetric 3D media with social VR technology, we can obtain a nuanced understanding of individuals' experiences during the COVID-19 lockdowns. Our analysis reveals distinct themes related to health, life events, environment, technology, and employment, illustrating a complex interplay of factors influencing personal experiences during the pandemic. These findings contrast with and expand upon previous research by providing a more immersive and participant-centric perspective on the pandemic's impact. They highlight the value of using VR to capture and analyze personal experiences in unprecedented global situations. By situating these results within the broader context of pandemic research, this study underscores the potential of VR as a transformative tool for social science research. It opens new avenues for understanding complex human experiences, offering valuable insights across scientific disciplines, thereby enhancing our collective knowledge of the pandemic's multifaceted effects on society.

Evaluation of the Fill-it-up-design to use historical control data in randomized clinical trials with two arm parallel group design

PurposeIn the context of clinical research, there is an increasing need for new study designs that help to incorporate already available data. With the help of historical controls, the existing information can be utilized to support the new study design, but of course, inclusion also carries the risk of bias in the study results.MethodsTo combine historical and randomized controls we investigate the Fill-it-up-design, which in the first step checks the comparability of the historical and randomized controls performing an equivalence pre-test. If equivalence is confirmed, the historical control data will be included in the new RCT. If equivalence cannot be confirmed, the historical controls will not be considered at all and the randomization of the original study will be extended. We are investigating the performance of this study design in terms of type I error rate and power.ResultsWe demonstrate how many patients need to be recruited in each of the two steps in the Fill-it-up-design and show that the family wise error rate of the design is kept at 5%\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\%$$\\end{document}. The maximum sample size of the Fill-it-up-design is larger than that of the single-stage design without historical controls and increases as the heterogeneity between the historical controls and the concurrent controls increases.ConclusionThe two-stage Fill-it-up-design represents a frequentist method for including historical control data for various study designs. As the maximum sample size of the design is larger, a robust prior belief is essential for its use. The design should therefore be seen as a way out in exceptional situations where a hybrid design is considered necessary.

Factors Affecting the Indoor Air Quality and Occupants’ Thermal Comfort in Urban Agglomeration Regions in the Hot and Humid Climate of Pakistan

The World Air Quality Index indicates that Pakistan ranks as the third most polluted country, regarding the average (Particulate Matter) PM2.5 concentration, which is 14.2 times higher than the World Health Organization’s annual air quality guideline. It is crucial to implement a program aimed at reducing PM2.5 levels in Pakistan’s urban areas. This review paper highlights the importance of indoor air pollution in urban regions such as Lahore, Faisalabad, Gujranwala, Rawalpindi, and Karachi, while also considering the effects of outdoor air temperature on occupants’ thermal comfort. The study aims to evaluate past methodological approaches to enhance indoor air quality in buildings. The main research question is to address whether there are statistical correlations between the PM2.5 and the operative air temperature and whether other indoor climatic variables have an impact on the thermal comfort assessment in densely built urban agglomeration regions in Pakistan. A systematic review analysis method was employed to investigate the effects of particulate matter (PM2.5), carbon oxides (COx), nitrogen oxides (NOx), sulfur oxides (SOx), and volatile organic compounds (VOCs) on residents’ health. The Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA) protocol guided the identification of key terms and the extraction of cited studies. The literature review incorporated a combination of descriptive research methods to inform the research context regarding both ambient and indoor air quality, providing a theoretical and methodological framework for understanding air pollution and its mitigation in various global contexts. The study found a marginally significant relationship between the PM2.5 operative air temperature and occupants’ overall temperature satisfaction, Ordinal Regression (OR) = 0.958 (95%—Confidence Interval (CI) [0.918, 1.000]), p = 0.050, Nagelkerke − Regression (R2) = 0.042. The study contributes to research on the development of an evidence-based thermal comfort assessment benchmark criteria for the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) Global Thermal Comfort Database version 2.1.

Understanding why restrictive trial eligibility criteria are inappropriate

BackgroundAn important difference between explanatory and pragmatic clinical trials concerns eligibility criteria. Eligibility criteria are restrictive in explanatory trials, while pragmatic trials are more inclusive or even all-inclusive. MethodsTo better understand the diverging views regarding eligibility criteria, we examine the contrast between theoretical and clinical medicine, and 3 different research contexts: laboratory research, population studies and clinical trials. In each context we review the purpose for selecting study subjects or research material, as well as the type of inductive inference or generalization that is sought by such selection. ResultsIn each context, selection concerns different things and serves different purposes: In the laboratory, selection concerns the homogenous research material that will help isolate a causal signal. In the epidemiological context selection concerns the (random) sampling method, designed to produce a representative sample of the population. In the clinical trial setting, selection concerns patients in need of care. Restrictive eligibility criteria become inappropriate in the care setting because the aim of the trial is not to represent a population nor to isolate a causal signal, but to find out which patients benefit from treatment. ConclusionThe idea of selecting patients comes from methods that belong to theoretical medicine. In the care setting, most clinical trials should be pragmatic and as inclusive as possible.

Exploring microbial diversity in the rhizosphere: a comprehensive review of metagenomic approaches and their applications.

The rhizosphere, the soil region influenced by plant roots, represents a dynamic microenvironment where intricate interactions between plants and microorganisms shape soil health, nutrient cycling, and plant growth. Soil microorganisms are integral players in the transformation of materials, the dynamics of energy flows, and the intricate cycles of biogeochemistry. Considerable research has been dedicated to investigating the abundance, diversity, and intricacies of interactions among different microbes, as well as the relationships between plants and microbes present in the rhizosphere. Metagenomics, a powerful suite of techniques, has emerged as a transformative tool for dissecting the genetic repertoire of complex microbial communities inhabiting the rhizosphere. The review systematically navigates through various metagenomic approaches, ranging from shotgun metagenomics, enabling unbiased analysis of entire microbial genomes, to targeted sequencing of the 16S rRNA gene for taxonomic profiling. Each approach's strengths and limitations are critically evaluated, providing researchers with a nuanced understanding of their applicability in different research contexts. A central focus of the review lies in the practical applications of rhizosphere metagenomics in various fields including agriculture. By decoding the genomic content of rhizospheric microbes, researchers gain insights into their functional roles in nutrient acquisition, disease suppression, and overall plant health. The review also addresses the broader implications of metagenomic studies in advancing our understanding of microbial diversity and community dynamics in the rhizosphere. It serves as a comprehensive guide for researchers, agronomists, and policymakers, offering a roadmap for harnessing metagenomic approaches to unlock the full potential of the rhizosphere microbiome in promoting sustainable agriculture.