how to interpret scientific articles

Aby Warburg's Bilderatlas Mnemosyne, left unfinished in 1929, has attracted significant interest in recent decades. This essay offers a new interpretation of Warburg's "picture atlas," not in relation to modernist collage and photomontage, but as an heir to scientific pedagogical exhibitions of the late Wilhelmine period. It deals in particular with two "public enlightenment" shows curated by the Leipzig medical historian Karl Sudhoff, whose work Warburg admired and employed: the first on with the history of hygiene in Dresden in 1911, the second in Leipzig, three years later, on the development of scientific images...

The literature frames social learning as a critical concept when searching for sustainability and innovation. Its prominent position in various studies has raised questions about the role played by such a theory and the possibility of new research perspectives. Therefore, this paper analyzed future research directions in social learning, sustainability, and innovation through a systematic literature review. By using four guiding questions, this qualitative study conducted a systematic literature review in the Web of Science, Scopus, and Scientific Electronic Library Online (SciELO) databases using the search terms "social learning," "sustain*," and "innovation...

STUDY QUESTION: Would the different regulatory approaches for preimplantation genetic testing (PGT) in Europe permit the implementation of preimplantation genetic testing using polygenic risk scores (PGT-P)? SUMMARY ANSWER: While the regulatory approaches for PGT differ between countries, the space provided for potential implementation of PGT-P seems limited in all three regulatory models. WHAT IS KNOWN ALREADY: PGT is a reproductive genetic technology that allows the testing for hereditary genetic disorders and chromosome abnormalities in embryos before implantation...

People often learn of new scientific findings from brief news reports, and may discount or ignore prior research, potentially contributing to misunderstanding of findings. In this preregistered study, we investigated how people interpret a brief news report on a new drug for weight loss. Participants read an article that either highlighted the importance of prior research when judging the drug's effectiveness, or made no mention of this issue. For articles describing no prior research, mean confidence in the drug was 62%...

A central goal of vaccine research is to characterize and validate immune correlates of protection (CoPs). In addition to helping elucidate immunological mechanisms, a CoP can serve as a valid surrogate endpoint for an infectious disease clinical outcome and thus qualifies as a primary endpoint for vaccine authorization or approval without requiring resource-intensive randomized, controlled phase 3 trials. Yet, it is challenging to persuasively validate a CoP, because a prognostic immune marker can fail as a reliable basis for predicting/inferring the level of vaccine efficacy against a clinical outcome, and because the statistical analysis of phase 3 trials only has limited capacity to disentangle association from cause...

INTRODUCTION: In many healthcare contexts globally, where the languages of care providers and patients do not match, miscommunication or non-communication can lead to inaccurate diagnoses and subpar treatment outcomes. In order to bridge these language barriers, a range of informal practices are used, such as family members or staff acting as interpreters, 'receptive multilingualism' or machine translation. The development and use of technological tools are increasing, but factors such as translation quality for complex health-related texts vary widely between languages...

This study aimed to analyze how scientific publications described and interpreted findings about the relationship between the Black population and events linked to COVID-19 in 2020. Narrative review with systematic search, in which a survey was conducted on articles published in 2020 in the Scopus, Medline/PubMed, and Web of Science databases. Initially, 665 articles were found, and after reading and applying the eligible criteria, the final number of 45 articles was reached. Epidemiological, observational studies, secondary data and developed in the United States predominated...

In recent years, automatic image classification methods have significantly progressed, notably black box algorithms such as machine learning and deep learning. Unfortunately, such efforts only focused on improving performance, rather than attempting to explain and interpret how classification models actually operate. This article compares three state-of-the-art algorithms incorporating random forests, gradient boosting and convolutional neural networks for geomorphological mapping. It also attempts to explain how the most effective classifier makes decisions by evaluating which of the geomorphometric variables are most important for automatic mapping and how they affect the classification results using one of the explainable artificial intelligence techniques, namely accumulated local effects (ALE)...

This article demonstrates-based on an interpretive discourse analysis of three types of memes (Rabid Feminists, Women's Bodies, Policy Ideas) and secondary thread discourse on 4chan's "Politically Incorrect" discussion board-two key findings: (1) the existence of a gendered hate based scientific discourse, "science fan fiction," in online spaces and (2) how gender "science fan fiction" is an outcome of the male supremacist cosmology, by producing and justifying resentment against white women as being both inherently untrustworthy (politically, sexually, intellectually) and dangerous...

The Covid pandemic was a reminder of the need to be prepared for epidemics and pandemics and to take into account their socio-political dimensions by developing socioanthropological and interdisciplinary approaches. In the post-crisis era, the challenge is one of operationality. How can these dimensions be made more visible? How can we develop analyses that can help to humanize institutional responses, make inequalities visible to limit them during the crisis, reveal structural determinants of transmission, and define interventions that are scientifically sound, ethically just and respectful of diversity?Three strategies are relevant to meet these challenges: (1) more social scientists in Frenchspeaking Africa must get expertise on epidemics to investigate associated issues before, during and after epidemic crisis; (2) public health professionals, health and social workers must get informed about social, historical, economic and political aspects of epidemics that shape risk, care and control; (3) collaborations between researchers and those involved in responding to epidemics on the basis of shared knowledge must develop...

Accurate localization of gliomas, the most common malignant primary brain cancer, and its different sub-region from multimodal magnetic resonance imaging (MRI) volumes are highly important for interventional procedures. Recently, deep learning models have been applied widely to assist automatic lesion segmentation tasks for neurosurgical interventions. However, these models are often complex and represented as "black box" models which limit their applicability in clinical practice. This article introduces new hybrid vision Transformers and convolutional neural networks for accurate and robust glioma segmentation in Brain MRI scans...

First popularized almost a century ago in epidemiologic research by Ronald Fisher and Jerzy Neyman, the P-value has become perhaps the most misunderstood and even misused statistical value or descriptor. Indeed, modern clinical research has now come to be centered around and guided by an arbitrary P-value of <0.05 as a magical threshold for significance, so much so that experimental design, reporting of experimental findings, and interpretation and adoption of such findings have become largely dependent on this "significant" P-value...

The General Data Protection Regulation (GDPR) of the European Union, which became applicable in 2018, contains a new accountability principle. Under this principle, controllers (ie parties determining the purposes and the means of the processing of personal data) are responsible for ensuring and demonstrating the overall compliance with the GDPR. However, interpretive uncertainties of the GDPR mean that controllers must exercise considerable judgement in designing and implementing an appropriate compliance strategy, making GDPR compliance both complex and resource-intensive...

Among descriptive sensory evaluation methods, temporal methods have a wide audience in food science because they make it possible to follow perception as close as possible to the moment when sensations are perceived. The aim of this work was to describe 30 years of research involving temporal methods by mapping the scientific literature using a systematic scoping review. Thus, 363 research articles found from a search in Scopus and Web of Science from 1991 to 2022 were included. The extracted data included information on the implementation of studies referring to the use of temporal methods (details related to subjects, products, descriptors, research design, data analysis, etc...

Computer-aided discovery of vaccine targets has become a cornerstone of rational vaccine design. In this article, I discuss how Machine Learning (ML) can inform and guide key computational steps in rational vaccine design concerned with the identification of B and T cell epitopes and correlates of protection. I provide examples of ML models, as well as types of data and predictions for which they are built. I argue that interpretable ML has the potential to improve the identification of immunogens also as a tool for scientific discovery, by helping elucidate the molecular processes underlying vaccine-induced immune responses...

BACKGROUND: Regression analysis is a standard method in medical research. It is often not clear, however, how the individual components of regression models are to be understood and interpreted. In this article, we provide an overview of this type of analysis and discuss its special features when used in observational studies. METHODS: Based on a selective literature review, the individual components of a regression model for differently scaled outcome variables (metric: linear regression; binary: logistic regression; time to event: Cox regression; count variable: Poisson or negative binomial regression) are explained, and their interpretation is illustrated with respect to a study on multiple sclerosis...

Scientific publications in the life sciences regularly include image data to display and communicate revelations about cellular structure and function. In 2016, a set of guiding principles known as the 'FAIR Data Principles' were put forward to ensure that research data are findable, accessible, interoperable and reproducible. However, challenges still persist regarding the quality, accessibility and interpretability of image data, and how to effectively communicate microscopy data in figures. This Perspective article details a community-driven initiative that aims to promote the accurate and understandable depiction of light microscopy data in publications...

We plan to empirically study the assessment of scientific papers within the framework of the anchoring-and-adjustment heuristic. This study is a follow-up study which is intended to answer open questions from the previous study with the same topic Bornmann (2021) and Bornmann (2023). The previous and follow-up studies address a central question in research evaluation: does bibliometrics create the social order in science it is designed to measure or does bibliometrics reflect the given social order (which is dependent on the intrinsic quality of research)? If bibliometrics creates the social order, it can be interpreted as an anchoring-and-adjustment heuristic...

While early evolutionary accounts of female sexuality insisted on coyness and monogamous tendencies, evidence from the field of primatology started challenging those assumptions in the 1970s. Decades later, there exist many competing and overlapping hypotheses stressing the potential fitness benefits of female short-term and extra-pair mating. Female mammals are now seen as enacting varied and flexible reproductive strategies. This is both a victory for science, with a better fit between theory and reality, and for feminism, with the downfall of narrow stereotypes about female sexuality...

This article explores missionary medical discourses in three Telugu journals published in the early twentieth century, to analyse how caste pivoted denunciations of alcohol, especially toddy and arrack, in the Madras Presidency and the Hyderabad state. It argues that one women's missionary journal, Vivekavathi , deployed medical knowledge to formulate subtle and occasionally explicit condemnations of toddy and arrack as unclean and unhealthy substances. The journal relied on universal medical and missionary, British and American knowledge frameworks to mark out Dalits and other marginalised castes as consumers of these local beverages...