Playing hide and seek: Contextual regularity learning develops between 3 and 5 years of age.

The ability to acquire contextual regularities is fundamental in everyday life because it helps us to navigate the environment, directing our attention where relevant events are more likely to occur. Sensitivity to spatial regularities has been largely reported from infancy. Nevertheless, it is currently unclear when children can use this rapidly acquired contextual knowledge to guide their behavior. Evidence of this ability is indeed mixed in school-aged children and, to date, it has never been explored in younger children and toddlers. The current study investigated the development of contextual regularity learning in children aged 3 to 5 years. To this aim, we designed a new contextual learning paradigm in which young children were presented with recurring configurations of bushes and were asked to guess behind which bush a cartoon monkey was hiding. In a series of two experiments, we manipulated the relevance of color and visuospatial cues for the underlying task goal and tested how this affected young children's behavior. Our results bridge the gap between the infant and adult literatures, showing that sensitivity to spatial configurations persists from infancy to childhood, but it is only around the fifth year of life that children naturally start to integrate multiple cues to guide their behavior.

Principles and practices of designing for resilient performance: An assessment framework.

Although resilient performance is intrinsic to socio-technical systems it might be supported by design, an idea known as Design for Resilient Performance (DfRP). Considering that such design is usually a re-design, learning from existing systems is crucial. This article introduces a framework for assessing the extent to which a system uses practices and principles of DfRP. The framework allows for the assessment of 24 attributes of the principles, the analysis of their relationships (a model was devised based on a survey with experts), and the investigation of practices that operationalize the principles. A scoring system sheds light on the effectiveness of using the principles. The framework application is exemplified based on the study of an emergency department in which daily huddles stood out as a practice of DfRP. This study involved interviews, observations, and documentary analysis. Based on this, a knowledge structure of DfRP is presented, comprised of concepts, principles, and practices. Six propositions to guide the framework application are set out, addressing themes such as the need for cost-effective DfRP, short control cycles, and customized designs that meet preferences of designers. The study contributes to DfRP theory and offers a new approach for resilience assessment.

Plantas medicinais da caatinga: uma revisão integrativa dos saberes etnobotânicos no semiárido nordestino / Medicinal plants from the caatinga: an integrative review of ethnobotanical knowledge in the northeastern semi- arid region / Plantas medicinales de la caatinga: una revisión integradora del conocimiento etnobotánico en la región semiárida nororiental

A vegetação da Caatinga é rica em uma diversidade de espécies vegetais utilizadas para satisfazer as necessidades humana. Muitas dessas espécies são utilizadas para fins terapêuticos por populações. As formas de uso dessas espécies podem ser registradas e resgatadas através de estudos etnobotânicos, os quais contribuem no levantamento das potencialidades dos recursos vegetais, bem como em planos de recuperação e conservação da vegetação. Assim, com base em uma revisão integrativa, o presente trabalho buscou copilar informações sobre como os trabalhos de etnobotânica das plantas medicinais estão sendo desenvolvidos, assim como a respeito das principais espécies e famílias botânicas de potencial medicinal descritas, em levantamentos realizados em áreas caatinga localizadas na região semiárida do Nordeste. Para isso, foram selecionados artigos publicados entre os anos de 2010 e 2022, que abordassem a temática relacionada. Foram considerados trabalhos publicados no formato de artigos originais, disponíveis de forma online, gratuito e completo, em língua portuguesa e inglesa. Esses artigos foram consultados em diferentes bases de dados. A análise integrativa evidenciou as características das publicações, como a concentração de estudos direcionados aos estados da Bahia, Paraíba e Pernambuco, bem como demonstrou uma rica diversidade de plantas medicinais que são utilizadas pela população no semiárido nordestino, destacando-se, principalmente, os saberes tradicionais sobre as suas formas de uso e propriedades terapêuticas.

The Caatinga vegetation is rich in a diversity of plant species used to satisfy human needs. Many of these species are used for therapeutic purposes by populations. The forms of use of these species can be registered and rescued through ethnobotanical studies, which contribute to the survey of the potential of plant resources, as well as plans for the recovery and conservation of vegetation. Thus, based on an integrative review, the present work sought to compile information on how ethnobotany works on medicinal plants are being developed, as well as on the main species and botanical families with medicinal potential described, in surveys carried out in caatinga areas located in the semi-arid region of the Northeast. For this, articles published between the years 2010 and 2022 that addressed the related theme were selected. Works published in the format of original articles, available online, free and complete, in Portuguese and English, were considered. These articles were consulted in different databases. The integrative analysis showed the characteristics of the publications, such as the concentration of studies directed to the states of Bahia, Paraíba and Pernambuco, as well as demonstrating a rich diversity of medicinal plants that are used by the population in the northeastern semi-arid region, highlighting, mainly, the knowledge traditional practices about their forms of use and therapeutic properties.

La vegetación de la Caatinga es rica en una diversidad de especies vegetales utilizadas para satisfacer las necesidades humanas. Muchas de estas especies son utilizadas con fines terapéuticos por las poblaciones. Las formas de uso de estas especies pueden ser registradas y rescatadas a través de estudios etnobotánicos, que contribuyen al levantamiento del potencial de los recursos vegetales, así como a los planes de recuperación y conservación de la vegetación. Así, a partir de una revisión integradora, el presente trabajo buscó recopilar información sobre cómo se están desarrollando los trabajos etnobotánicos sobre plantas medicinales, así como sobre las principales especies y familias botánicas con potencial medicinal descritas, en relevamientos realizados en áreas de caatinga ubicadas en la región semiárida del Nordeste. Para ello, se seleccionaron artículos publicados entre los años 2010 y 2022 que abordaran la temática relacionada. Se consideraron trabajos publicados en formato de artículos originales, disponibles en línea, gratuitos y completos, en portugués e inglés. Estos artículos fueron consultados en diferentes bases de datos. El análisis integrador mostró las características de las publicaciones, como la concentración de estudios dirigidos a los estados de Bahía, Paraíba y Pernambuco, además de demostrar una rica diversidad de plantas medicinales que son utilizadas por la población de la región semiárida del nordeste, destacándose, principalmente, los conocimientos tradicionales sobre sus formas de uso y propiedades terapéuticas.

Conhecimento de Estudantes de Enfermagem Sobre Estomias Intestinais de Eliminação / Knowledge of Nursing Students About Intestinal Elimination Stomas / Conocimiento de Estudiantes de Enfermería Sobre Estomas de Eliminación Intestinal

Objetivo:Investigar o conhecimento de estudantes de Enfermagem sobre estomias intestinais de eliminação. Método: Estudo descritivo, exploratório, analítico, com abordagem quantitativa, realizado em instituição de ensino superior pública do Piauí, com 115 estudantes de Enfermagem entre o oitavo e o 10º período do curso. A coleta foi realizada por meio de questionário online composto de dois instrumentos, um sobre o perfil sociodemográfico e escolar dos estudantes, e o outro, acerca do conhecimento sobre estomias intestinais de eliminação. A análise dos dados deu-se por meio de análises descritivas (frequências absolutas e relativas, médias e desvio padrão) e inferenciais, a fim de verificar associação entre as variáveis, com os testes χ2 e exato de Fisher. Resultados: A maioria dos estudantes de Enfermagem possui déficit quanto aos aspectos relacionados às assistências pré-operatória e pós-operatória imediata e mediata. Observou-se diferença significativamente estatística na variável índice de rendimento acadêmico, e viu-se que os estudantes com rendimento acadêmico superior a 9 obtiveram maior número de acertos em comparação aos demais. Conclusão: Existem lacunas de conhecimento entre os estudantes de Enfermagem, sobretudo na assistência de enfermagem nos cuidados pré-operatório e no pós-operatório imediato e mediato, o que por sua vez pode comprometer a qualidade da assistência prestada.

Objective:To investigate the knowledge of nursing students about intestinal elimination stomas. Method: Descriptive, exploratory, analytical study, with a quantitative approach, carried out in a public higher education institution in Piauí, Brazil, with 115 nursing students between the eighth and the tenth period of the course. The data collection was carried out through an online questionnaire composed of two instruments, one about the sociodemographic and school profile of the students, and the other about knowledge on intestinal ostomies for elimination. Data analysis was carried out through descriptive analysis (absolute and relative frequencies, means and standard deviation) and inferential analysis, in order to verify association between variables, with χ2and Fisher's exact tests. Results: Most nursing students have a deficit regarding aspects related to preoperative and immediate and mediate postoperative care. There was a statistically significant difference in the academic performance index variable, and it was observed that students with academic performance greater than 9 obtained a higher number of correct answers compared to the others. Conclusion: There are knowledge gaps among nursing students, especially in nursing care in preoperative care, and in the immediate and mediate postoperative period, which in turn can compromise the quality of care provided.

Objetivo:Investigar el conocimiento de estudiantes de enfermería sobre estomas de eliminación intestinal. Método: Estudio descriptivo-exploratorio, analítico, con abordaje cuantitativo, realizado en una Institución de Enseñanza Superior (IES) pública de Piauí, con 115 estudiantes de enfermería, entre el octavo y décimo período del curso. La recolección se realizó a través de un cuestionario en línea compuesto por dos instrumentos, uno sobre el perfil sociodemográfico y escolar de los estudiantes, y otro, un instrumento validado sobre conocimientos sobre ostomías intestinales para eliminación. El análisis de los datos se realizó mediante análisis descriptivo (frecuencias absolutas y relativas, medias y desviación estándar) e inferencial, con el fin de verificar la asociación entre las variables, con las pruebas Chi-cuadrado y exacta de Fisher. Resultados: La mayoría de los estudiantes de enfermería presentan un déficit en los aspectos relacionados con los cuidados preoperatorios y postoperatorios inmediatos y medios. Hubo diferencia estadísticamente significativa en la variable índice de rendimiento académico, y se observó que los estudiantes con rendimiento académico superior a 9,0 obtuvieron mayor número de respuestas correctas en comparación con los demás. Conclusión: Existen lagunas de conocimiento entre los estudiantes de enfermería, especialmente en el cuidado de enfermería en el preoperatorio, y en el postoperatorio inmediato y mediato, lo que a su vez puede comprometer la calidad de la atención prestada.

EPICAP: intervención educativa mediante cápsulas audiovisuales en pacientes con epilepsia. Ensayo clínico aleatorizado / EPICAP: educational intervention using instructional clips in patients with epilepsy. A randomised clinical trial

Objetivos La educación sanitaria en pacientes con epilepsia influye positivamente en el autocontrol de la enfermedad, mejora su pronóstico y favorece el bienestar del paciente. El objetivo de este estudio fue evaluar una intervención educativa mediante cápsulas audiovisuales en pacientes con epilepsia en una unidad de monitorización videoelectroencefalográfica.Sujetos y métodosEs un ensayo clínico aleatorizado con dos grupos (intervención y control). Se reclutó a pacientes adultos con epilepsia que ingresaron en la unidad de monitorización videoelectroencefalográfica. Se crearon nueve vídeos sobre el diagnóstico y el tratamiento de la epilepsia, y recomendaciones de estilo de vida, que se administraron al grupo de intervención durante el ingreso. Se evaluó el conocimiento del paciente sobre su enfermedad con un cuestionario diseñado específicamente para este estudio. Se realizó una evaluación previa en el inicio del estudio, en el alta hospitalaria y a los tres meses, y se comparó el conocimiento sobre la epilepsia en ambos grupos en cada momento del estudio.ResultadosSe incluyó a 66 pacientes, con edad media de 39 ± 14,7 años (rango: 17-76) y una mediana de 8 años de evolución de la enfermedad (rango: 1-60 años). Un 53% eran mujeres. El tipo de epilepsia más frecuente fue el focal (95,5%). La puntuación media en el test preintervención fue de 57,2 ± 15,3. Los pacientes que recibieron la intervención educativa mostraron mejores puntuaciones en el postest en el alta hospitalaria (81,8 ± 11,2 frente a 62,8 ± 13,7; p = 0,001) y a los tres meses (76 ± 9,6 frente a 63,2 ± 12,8; p = 0,001).ConclusionesLa intervención educativa EPICAP mediante píldoras audiovisuales mejora de forma significativa el conocimiento de los pacientes sobre aspectos diagnósticos, terapéuticos y estilo de vida relacionados con la epilepsia. (AU)

AIMS. In patients with epilepsy health education has a positive influence on self-management of the disease, improves prognosis and enhances patient well-being. The aim of this study was to evaluate an educational intervention using instructional clips in patients with epilepsy in a video-electroencephalographic monitoring unit.SUBJECTS AND METHODSWe conducted a randomised clinical trial with two groups (intervention and control). Adult patients with epilepsy admitted to the video-electroencephalographic monitoring unit were recruited. Nine videos about the diagnosis and treatment of epilepsy, together with recommendations on lifestyle, were produced and administered to the intervention group while admitted. Patients’ knowledge of their disease was assessed by means of a questionnaire designed specifically for this study. A pre-assessment was conducted at the beginning of the study, at hospital discharge and at three months, and the knowledge of epilepsy in the two groups was compared at each time considered in the study.RESULTSSixty-six patients were included, with a mean age of 39 ± 14.7 years (range: 17-76) and a median of 8 years since disease onset (range: 1-60 years). Fifty-three per cent of the patients were women. Focal epilepsy was the most frequent type (95.5%). The mean score on the pre-intervention test was 57.2 ± 15.3. Patients who received the educational intervention showed better post-test scores at discharge from hospital (81.8 ± 11.2 versus 62.8 ± 13.7; p = 0.001) and at three months (76 ± 9.6 versus 63.2 ± 12.8; p = 0.001).CONCLUSIONSThe EPICAP educational intervention using instructional clips significantly improves patients’ knowledge of epilepsy-related diagnostic, therapeutic and lifestyle issues. (AU)

Leadership training as a career differential: football coaches' perceptions / El entrenamiento del liderazgo como elemento diferenciador de la carrera profesional: percepciones de los entrenadores de fútbol / Formação em Liderança como diferencial na carreira: perceção de treinadores de futebol

El liderazgo ha sido estudiado como una de las principales variables para el buen rendimiento deportivo de los equipos de fútbol. Así, el objetivo de este estudio fue analizar el impacto de la formación obtenida a través de la capacitación oficial de entrenadores de fútbol, en los conocimientos y habilidades de liderazgo de los respectivos entrenadores. La muestra estuvo compuesta por 211 entrenadores portugueses, titulados como entrenadores de fútbol, independientemente de su nivel formativo. Se utilizó un cuestionario con 32 ítems divididos en cuatro dimensiones: i) habilidades de gestión/supervisión, ii) liderazgo organizacional, iii) dominio personal y iv) gestión de recursos. Se utilizó un modelo de ecuaciones estructurales (SEM-PLS) para validar las hipótesis. Los resultados indican que la formación tiene un impacto positivo y estadísticamente significativo en las competencias de liderazgo. También se pudo comprobar un efecto significativo de la formación sobre las competencias de liderazgo. En cuanto al impacto de la formación sobre las competencias de liderazgo mediadas por el conocimiento, se comprobó que no existe un impacto estadísticamente significativo. Los resultados también muestran una autopercepción positiva de los formadores respecto a sus competencias de liderazgo. Los entrenadores reconocen que es necesario seguir formándose en el ámbito del liderazgo, muestran ser conscientes de la importancia del desarrollo profesional y continuo en este tema. Como implicaciones prácticas, el estudio sugiere una reflexión sobre el contenido y la estructura pedagógica del proceso de formación, formal e informal, de los cursos oficiales para entrenadores de fútbol sobre este contenido. (AU)

Leadership has been studied as one of the main variables for football clubs’ good sporting performance. Therefore, this study aims to analyse the impact of football coaches’ official training on these coaches’ knowledge of leadership and competences. The sample includes 211 qualified Portuguese football coaches, irrespective of their level. A questionnaire was used, with 32 items divided in 4 dimensions: management/supervisory skills, organisational leadership, personal domain, and resource management. To validate the hypotheses, structural equation modelling (SEM-PLS) was used. The results indicate that training has a positive and statistically significant impact on leadership skills. A statistically significant effect of training on leadership knowledge was also found. Concerning the impact of training on leadership skills mediated by knowledge, there was no statistically significant impact. The results also show coaches’ positive self-perception of their leadership skills. However, recognising the need for more thorough training in the field of leadership, they are aware of the importance of continued professional development in the topic. As practical implications, the study suggests reflection on the pedagogical content and structure of the training process, whether formal or informal, of official football coach courses. (AU)

A liderança tem vindo a ser estudada com uma das principais variáveis para o bom desempenho desportivo dos clubes de futebol. Deste modo, o objetivo do presente estudo é o de analisar o impacto da formação obtida por via da formação oficial de treinadores de futebol, no conhecimento ecompetências de liderança dos respetivos treinadores. A amostra incluiu 211 treinadores portugueses, habilitados para a atividade de treinador de futebol, independente do grau. Foi utilizado um questionário com 32 itens divididos em 4 dimensões: competências de gestão/supervisão, liderança organizacional, domínio pessoal, e gestão de recursos. Para a validação das hipóteses foi utilizado um modelo de equações estruturais (SEM-PLS). Os resultados indicam que a formação tem um impacto positivo e estatisticamente significativo nas competências de liderança. Foi ainda possível verificar um efeito com significância estatística da formação nos conhecimentos de liderança. Já no que diz respeito ao impacto da formação nas competências de liderança mediada pelo conhecimento, constatou-se que não existe um impacto com significância estatística. Os resultados evidenciam ainda uma autoperceção positiva dos treinadores referente às suas competências de liderança. Ainda que reconheçam que exista a necessidade de formação mais aprofundada no âmbito da liderança, mostram a sua consciência sobre a importância para o desenvolvimento profissional e contínuo sobre este tema. Como implicações práticas, o estudo sugere uma reflexão sobre o conteúdo e estrutura pedagógica do processo formativo seja ele formal ou informal dos cursos oficiais de treinadores de futebol. (AU)

Collecting human remains in nineteenth-century Paris: the case of the Société Anatomique de Paris and the Musée Dupuytren.

This paper describes the scientific practices of the anatomists from the Société Anatomique de Paris (1803-1873) who were collecting anatomical and pathological specimens in Nineteenth-Century Paris and which led to the building of the anatomy and pathology Musée Dupuytren (1835-2016). The framework introduced by Robert Kohler to describe collecting sciences (2007) is useful as a tool to identify the set of diverse practices within pathological anatomy in nineteenth-century Paris. However, I will argue that anatomy and pathology collecting had specific features compared to most collecting sciences. Two main collecting practices could be distinguished: first, "finding" anatomical specimens and second, keeping these specimens. The first kind of practices were at least rhetorically and explicitly motivated by Auguste Comte's positive philosophy. But "finding" an anatomy or pathology specimen could not be completely compared to finding an object or making a simple observation, as dissecting as well as some experimental practices were also involved. Heterogeneous practices thus coexisted within collecting in anatomy and pathology. Epistemological as well as pragmatic tensions arose. On top of Kohler's framework, I introduce Sabina Leonelli's concept of "data journey" to offer a narrative of the diversity of collecting practices involved in the Société Anatomique de Paris and the Musée Dupuytren. I use the concept to analyse how this diversity of practices impacted knowledge production.

German Version of the Mobile Agnew Relationship Measure: Translation and Validation Study.

BACKGROUND: The mobile Agnew Relationship Measure (mARM) is a self-report questionnaire for the evaluation of digital mental health interventions and their interactions with users. With the global increase in digital mental health intervention research, translated measures are required to conduct research with local populations. OBJECTIVE: The aim of this study was to translate and validate the original English version of the mARM into a German version (mARM-G). METHODS: A total of 2 native German speakers who spoke English as their second language conducted forward translation of the original items. This version was then back translated by 2 native German speakers with a fluent knowledge of English. An independent bilingual reviewer then compared these drafts and created a final German version. The mARM-G was validated by 15 experts in the field of mobile app development and 15 nonexperts for content validity and face validity; 144 participants were recruited to conduct reliability testing as well as confirmatory factor analysis. RESULTS: The content validity index of the mARM-G was 0.90 (expert ratings) and 0.79 (nonexperts). The face validity index was 0.89 (experts) and 0.86 (nonexperts). Internal consistency for the entire scale was Cronbach α=.91. Confirmatory factor analysis results were as follows: the chi-square statistic to df ratio was 1.66. Comparative Fit Index was 0.87 and the Tucker-Lewis Index was 0.86. The root mean square error of approximation was 0.07. CONCLUSIONS: The mARM-G is a valid and reliable tool that can be used for future studies in German-speaking countries.

Effects of a 3-factor field intervention on numerical and geometric knowledge in preschool children.

The main aim of this study was to develop and test the effects of a field math intervention program on both number and geometry knowledge. The intervention was developed based on three basic skills previously associated with mathematical performance: symbolic number knowledge, mapping processes and spatial reasoning. The participants were 117 preschoolers from six schools in Cali and Bogotá. The children were assigned to an intervention group (N = 55) or a control group (N = 62). The intervention lasted 11 weeks with 3 sessions per week where the children participated in different game-based activities. Tests of numerical and geometric knowledge were administered before and after the intervention. The effects of the intervention were tested twice, immediately after the program ended and six months later. The results show that the children in the intervention group improved more than the control group in both number and geometry. The second posttest revealed a significant intervention effect for geometry, but not for numerical knowledge. The implications of these mixed patterns of results are discussed in the paper.

Poor attention: The wealth and regional gaps in event attention and coverage on Wikipedia.

Wikipedia is an important source of general knowledge covering a wide range of topics. Moreover, for many people around the world, it also serves as an essential news source for major events such as elections or disasters. Although Wikipedia covers many such events, some events are underrepresented and lack attention, despite their newsworthiness predicted from news value theory. In this paper, we analyze 17 490 event articles in four Wikipedia language editions and examine how the economic status and geographic region of the event location affects the attention and coverage it receives. We find that major Wikipedia language editions have a skewed focus, with more attention given to events in the world's more economically developed countries and less attention to events in less affluent regions. However, other factors, such as the number of deaths in a disaster, are also associated with the attention an event receives. Overall, this work provides a nuanced understanding of attention and coverage on Wikipedia through event articles and adds new empirical analysis to news value theory.

Global cluster analysis and network visualization in cancer-associated fibroblast: insights from Web of Science database from 1999 to 2021.

BACKGROUND: A scientific and comprehensive analysis of the current status and trends in the field of cancer-associated fibroblast (CAF) research is worth investigating. This study aims to investigate and visualize the development, research frontiers, and future trends in CAFs both quantitatively and qualitatively based on a bibliometric approach. METHODS: A total of 5518 publications were downloaded from the Science Citation Index Expanded of Web of Science Core Collection from 1999 to 2021 and identified for bibliometric analysis. Visualized approaches, OriginPro (version 9.8.0.200) and R (version 4.2.0) software tools were used to perform bibliometric and knowledge-map analysis. RESULTS: The number of publications on CAFs increased each year, and the same tendency was observed in the RRI. Apart from China, the countries with the largest number of publications and the most cited frequency were mainly Western developed countries, especially the USA. Cancers was the journal with the largest number of articles published in CAFs, and Oncology was the most popular research orientation. The most productive author was Lisanti MP, and the University of Texas System was ranked first in the institutions. In addition, the topics of CAFs could be divided into five categories, including tumor classification, prognostic study, oncologic therapies, tumor metabolism and tumor microenvironment. CONCLUSIONS: This is the first thoroughly scientific bibliometric analysis and visualized study of the global research field on CAFs over the past 20 years. The study may provide benefits for researchers to master CAFs' dynamic evolution and research trends.

Multi-source transfer learning for facial emotion recognition using multivariate correlation analysis.

Deep learning techniques have proven to be effective in solving the facial emotion recognition (FER) problem. However, it demands a significant amount of supervision data which is often unavailable due to privacy and ethical concerns. In this paper, we present a novel approach for addressing the FER problem using multi-source transfer learning. The proposed method leverages the knowledge from multiple data sources of similar domains to inform the model on a related task. The approach involves the optimization of aggregate multivariate correlation among the source tasks trained on the source dataset, thus controlling the transfer of information to the target task. The hypothesis is validated on benchmark datasets for facial emotion recognition and image classification tasks, and the results demonstrate the effectiveness of the proposed method in capturing the group correlation among features, as well as being robust to negative transfer and performing well in few-shot multi-source adaptation. With respect to the state-of-the-art methods MCW and DECISION, our approach shows an improvement of 7% and [Formula: see text]15% respectively.

Event Knowledge in Large Language Models: The Gap Between the Impossible and the Unlikely.

Word co-occurrence patterns in language corpora contain a surprising amount of conceptual knowledge. Large language models (LLMs), trained to predict words in context, leverage these patterns to achieve impressive performance on diverse semantic tasks requiring world knowledge. An important but understudied question about LLMs' semantic abilities is whether they acquire generalized knowledge of common events. Here, we test whether five pretrained LLMs (from 2018's BERT to 2023's MPT) assign a higher likelihood to plausible descriptions of agent-patient interactions than to minimally different implausible versions of the same event. Using three curated sets of minimal sentence pairs (total n = 1215), we found that pretrained LLMs possess substantial event knowledge, outperforming other distributional language models. In particular, they almost always assign a higher likelihood to possible versus impossible events (The teacher bought the laptop vs. The laptop bought the teacher). However, LLMs show less consistent preferences for likely versus unlikely events (The nanny tutored the boy vs. The boy tutored the nanny). In follow-up analyses, we show that (i) LLM scores are driven by both plausibility and surface-level sentence features, (ii) LLM scores generalize well across syntactic variants (active vs. passive constructions) but less well across semantic variants (synonymous sentences), (iii) some LLM errors mirror human judgment ambiguity, and (iv) sentence plausibility serves as an organizing dimension in internal LLM representations. Overall, our results show that important aspects of event knowledge naturally emerge from distributional linguistic patterns, but also highlight a gap between representations of possible/impossible and likely/unlikely events.

CLOOME: contrastive learning unlocks bioimaging databases for queries with chemical structures.

The field of bioimage analysis is currently impacted by a profound transformation, driven by the advancements in imaging technologies and artificial intelligence. The emergence of multi-modal AI systems could allow extracting and utilizing knowledge from bioimaging databases based on information from other data modalities. We leverage the multi-modal contrastive learning paradigm, which enables the embedding of both bioimages and chemical structures into a unified space by means of bioimage and molecular structure encoders. This common embedding space unlocks the possibility of querying bioimaging databases with chemical structures that induce different phenotypic effects. Concretely, in this work we show that a retrieval system based on multi-modal contrastive learning is capable of identifying the correct bioimage corresponding to a given chemical structure from a database of ~2000 candidate images with a top-1 accuracy >70 times higher than a random baseline. Additionally, the bioimage encoder demonstrates remarkable transferability to various further prediction tasks within the domain of drug discovery, such as activity prediction, molecule classification, and mechanism of action identification. Thus, our approach not only addresses the current limitations of bioimaging databases but also paves the way towards foundation models for microscopy images.

Mapping the knowledge domains of medical textiles: A review.

As the world's textile industry shifts towards manufacturing high value-added textile structures and products, medical textiles have drawn extensive attention from researchers and the related research field is rapidly developing in recent years. To provide readers a systematic overview of this research field, a comprehensive bibliometric analysis of scientific publications related to the field in performed and visually presented using the software CiteSpace and VOSviewer in this paper. Totally 2839 papers have been retrieved and collected from the core database of Web of Science™. First, the papers are divided into several groups and quantitatively analyzed based on the year of publication, the citations in each year, and the disciplines involved in the papers. VOSviewer is adopted to analyze the collaboration among countries, organizations, and authors in the research community as well as their research output and influence in terms of citation. Then the major journals in the field are identified through performing co-citation analysis on source journals of all references cited in the retrieved papers. In addition, the highly cited papers and their references are listed in this paper. They offer researchers a glimpse of the internal relationship of scientific literature and the dynamic structure of scientific evolution. Finally, the co-occurrence analysis of keywords is also performed using VOSviewer and CiteSpace. The connection between various disciplines in the research field is revealed, so that the scientific development history, the research hotspots, and main research directions in the field can be traced.

Improving the classification of veterinary thoracic radiographs through inter-species and inter-pathology self-supervised pre-training of deep learning models.

The analysis of veterinary radiographic imaging data is an essential step in the diagnosis of many thoracic lesions. Given the limited time that physicians can devote to a single patient, it would be valuable to implement an automated system to help clinicians make faster but still accurate diagnoses. Currently, most of such systems are based on supervised deep learning approaches. However, the problem with these solutions is that they need a large database of labeled data. Access to such data is often limited, as it requires a great investment of both time and money. Therefore, in this work we present a solution that allows higher classification scores to be obtained using knowledge transfer from inter-species and inter-pathology self-supervised learning methods. Before training the network for classification, pretraining of the model was performed using self-supervised learning approaches on publicly available unlabeled radiographic data of human and dog images, which allowed substantially increasing the number of images for this phase. The self-supervised learning approaches included the Beta Variational Autoencoder, the Soft-Introspective Variational Autoencoder, and a Simple Framework for Contrastive Learning of Visual Representations. After the initial pretraining, fine-tuning was performed for the collected veterinary dataset using 20% of the available data. Next, a latent space exploration was performed for each model after which the encoding part of the model was fine-tuned again, this time in a supervised manner for classification. Simple Framework for Contrastive Learning of Visual Representations proved to be the most beneficial pretraining method. Therefore, it was for this method that experiments with various fine-tuning methods were carried out. We achieved a mean ROC AUC score of 0.77 and 0.66, respectively, for the laterolateral and dorsoventral projection datasets. The results show significant improvement compared to using the model without any pretraining approach.

FooDrugs: a comprehensive food-drug interactions database with text documents and transcriptional data.

Food-drug interactions (FDIs) occur when a food item alters the pharmacokinetics or pharmacodynamics of a drug. FDIs can be clinically relevant, as they can hamper or enhance the therapeutic effects of a drug and impact both their efficacy and their safety. However, knowledge of FDIs in clinical practice is limited. This is partially due to the lack of resources focused on FDIs. Here, we describe FooDrugs, a database that centralizes FDI knowledge retrieved from two different approaches: a natural processing language pipeline that extracts potential FDIs from scientific documents and clinical trials and a molecular similarity approach based on the comparison of gene expression alterations caused by foods and drugs. FooDrugs database stores a total of 3 430 062 potential FDIs, with 1 108 429 retrieved from scientific documents and 2 321 633 inferred from molecular data. This resource aims to provide researchers and clinicians with a centralized repository for potential FDI information that is free and easy to use. Database URL:  https://zenodo.org/records/8192515 Database DOI:  https://doi.org/10.5281/zenodo.6638469.

Serial KinderMiner (SKiM) discovers and annotates biomedical knowledge using co-occurrence and transformer models.

BACKGROUND: The PubMed archive contains more than 34 million articles; consequently, it is becoming increasingly difficult for a biomedical researcher to keep up-to-date with different knowledge domains. Computationally efficient and interpretable tools are needed to help researchers find and understand associations between biomedical concepts. The goal of literature-based discovery (LBD) is to connect concepts in isolated literature domains that would normally go undiscovered. This usually takes the form of an A-B-C relationship, where A and C terms are linked through a B term intermediate. Here we describe Serial KinderMiner (SKiM), an LBD algorithm for finding statistically significant links between an A term and one or more C terms through some B term intermediate(s). The development of SKiM is motivated by the observation that there are only a few LBD tools that provide a functional web interface, and that the available tools are limited in one or more of the following ways: (1) they identify a relationship but not the type of relationship, (2) they do not allow the user to provide their own lists of B or C terms, hindering flexibility, (3) they do not allow for querying thousands of C terms (which is crucial if, for instance, the user wants to query connections between a disease and the thousands of available drugs), or (4) they are specific for a particular biomedical domain (such as cancer). We provide an open-source tool and web interface that improves on all of these issues. RESULTS: We demonstrate SKiM's ability to discover useful A-B-C linkages in three control experiments: classic LBD discoveries, drug repurposing, and finding associations related to cancer. Furthermore, we supplement SKiM with a knowledge graph built with transformer machine-learning models to aid in interpreting the relationships between terms found by SKiM. Finally, we provide a simple and intuitive open-source web interface ( https://skim.morgridge.org ) with comprehensive lists of drugs, diseases, phenotypes, and symptoms so that anyone can easily perform SKiM searches. CONCLUSIONS: SKiM is a simple algorithm that can perform LBD searches to discover relationships between arbitrary user-defined concepts. SKiM is generalized for any domain, can perform searches with many thousands of C term concepts, and moves beyond the simple identification of an existence of a relationship; many relationships are given relationship type labels from our knowledge graph.

Making science public: a review of journalists' use of Open Science research.

Science journalists are uniquely positioned to increase the societal impact of open science by contextualizing and communicating research findings in ways that highlight their relevance and implications for non-specialist audiences. Through engagement with and coverage of open research outputs, journalists can help align the ideals of openness, transparency, and accountability with the wider public sphere and its democratic potential. Yet, it is unclear to what degree journalists use open research outputs in their reporting, what factors motivate or constrain this use, and how the recent surge in openly available research seen during the COVID-19 pandemic has affected the relationship between open science and science journalism. This literature review thus examines journalists' use of open research outputs, specifically open access publications and preprints. We focus on literature published from 2018 onwards-particularly literature relating to the COVID-19 pandemic-but also include seminal articles outside the search dates. We find that, despite journalists' potential to act as critical brokers of open access knowledge, their use of open research outputs is hampered by an overreliance on traditional criteria for evaluating scientific quality; concerns about the trustworthiness of open research outputs; and challenges using and verifying the findings. We also find that, while the COVID-19 pandemic encouraged journalists to explore open research outputs such as preprints, the extent to which these explorations will become established journalistic practices remains unclear. Furthermore, we note that current research is overwhelmingly authored and focused on the Global North, and the United States specifically. Finally, given the dearth of research in this area, we conclude with recommendations for future research that attend to issues of equity and diversity, and more explicitly examine the intersections of open science and science journalism.