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Soft materials containing liquid inclusions have emerged as a promising class of materials. Unlike solid inclusions, liquid inclusions possess intrinsic fluidity, which allows them to retain the excellent deformation ability of soft materials. This can prevent compliance mismatches between the inclusions and the matrix, thus leading to improved performance and durability. Various liquids, including metallic, water-based, and ionic liquids, have been selected as inclusions for embedding into soft materials, resulting in unique properties and functionalities that enable a wide range of applications in soft robotics, wearable devices, and other cutting-edge fields. This review provides an overview of recent studies on the functional properties of composites with liquid inclusions and discusses theoretical models used to estimate these properties, aiming to bridge the gap between the microstructure/components and the overall properties of the composite from a theoretical perspective. Furthermore, current challenges and future opportunities for the widespread application of these composites are explored, highlighting their potential in advancing technologies.

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AIM(S): To identify and evaluate conceptual frameworks intended to guide reproductive health research among women with physical disabilities. DESIGN: Discussion paper. METHODS: We identified and evaluated frameworks related to the reproductive health of women with physical disabilities using modified criteria by Fawcett and DeSanto-Madeya with constructs from the International Classification of Functioning, Disability, and Health. DATA SOURCES: We conducted a systematic review of literature published from 2001 to 2024 in four databases. RESULTS: Our review revealed two frameworks: (1) A perinatal health framework for women with physical disabilities is applicable to studies that consider multiple socioecological determinants in pregnancy; (2) A conceptual framework of reproductive health in the context of physical disabilities can guide the development of patient-reported outcome measures for a range of reproductive health outcomes. CONCLUSION: The identified frameworks have high potential to guide studies that can improve the reproductive health of women with physical disabilities. However, they have low social congruence among racially and ethnically minoritized women. IMPLICATIONS FOR NURSING: Future frameworks must take an intersectional approach and consider the compounding injustices of ableism, racism, classism and ageism on reproductive health. A holistic approach that is inherent to the discipline of nursing is essential to address these knowledge gaps. IMPACT: The reproductive health of women with disabilities is a research priority. Nurses and other researchers can select the framework most applicable to their research questions to guide study designs and should incorporate multi-level determinants to eliminate reproductive health disparities.

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Since the origin of the Successful Aging (SA) model by Rowe and Kahn, scholars have been working on enriching the content of SA and taking actions to promote this concept worldwide. While most studies primarily focus on older individuals, only a few scholars have considered the environmental aspect of SA. However, the environment, directly and indirectly, enhances older adults' abilities to achieve SA. To measure SA comprehensively and address inequalities among older adults, this theoretical article aims to challenge current SA models by incorporating both individual and environmental aspects and proposing four measurement dimensions: inclusivity of disadvantaged groups, culture-specific adaptation, balance between physical and social environments, and dynamics of the whole lifecycle. Moreover, this article provides examples to illustrate how environment can support older adults especially those who would be defined as "unsuccessful" under the original SA model. Our proposed model would provide theoretical guidance for future research and spark new ideas for policies and programs that support every older adult in achieving SA.

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Advanced oxidative processes, such as Photo-Fenton, transform organic contaminants due to the attack by radicals. In this context, the lethal and sub-lethal effects of the Cruiser® 350FS (CRZ) with the active ingredient thiamethoxam (TMX) were investigated using the planarian Girardia tigrina. Degradation of thiamethoxam by the Fenton process was also assessed by using theoretical studies and the efficiency of Solar-Fenton versus Fenton. The 48 h LC50 value of CRZ for planarians was 478.6 mg L-1. The regeneration of planarians was significantly affected for concentrations ≥ 17 mg·L-1 of TMX (24 h). The Solar-Fenton showed a high degradation percentage reaching ~70%. The theoretical model showed the atoms of the TMX molecule that will suffer attacks from the formed radicals. Current results open new perspectives concerning the treatment of TMX in the aquatic environment because the 70% degradation seems to be sufficient to reach concentrations that do not induce sub-lethal effects in planarians. Further studies should determine if the by-products generated might be toxic for planaria or other organisms.

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This chapter lays out the elementary principles of fractal geometry underpinning much of the rest of this book. It assumes a minimal mathematical background, defines the key principles and terms in context, and outlines the basics of a fractal analysis method known as box counting and how it is used to perform fractal, lacunarity, and multifractal analyses. As a standalone reference, this chapter grounds the reader to be able to understand, evaluate, and apply essential methods to appreciate and heal the exquisitely detailed fractal geometry of the brain.

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Microglia and neurons live physically intertwined, intimately related structurally and functionally in a dynamic relationship in which microglia change continuously over a much shorter timescale than do neurons. Although microglia may unwind and depart from the neurons they attend under certain circumstances, in general, together both contribute to the fractal topology of the brain that defines its computational capabilities. Both neuronal and microglial morphologies are well-described using fractal analysis complementary to more traditional measures. For neurons, the fractal dimension has proved valuable for classifying dendritic branching and other neuronal features relevant to pathology and development. For microglia, fractal geometry has substantially contributed to classifying functional categories, where, in general, the more pathological the biological status, the lower the fractal dimension for individual cells, with some exceptions, including hyper-ramification. This chapter provides a review of the intimate relationships between neurons and microglia, by introducing 2D and 3D fractal analysis methodology and its applications in neuron-microglia function in health and disease.

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To explore questions asked in neuroscience, neuroscientists rely heavily on the tools available. One such toolset is ImageJ, open-source, free, biological digital image analysis software. Open-source software has matured alongside of fractal analysis in neuroscience, and today ImageJ is not a niche but a foundation relied on by a substantial number of neuroscientists for work in diverse fields including fractal analysis. This is largely owing to two features of open-source software leveraged in ImageJ and vital to vigorous neuroscience: customizability and collaboration. With those notions in mind, this chapter's aim is threefold: (1) it introduces ImageJ, (2) it outlines ways this software tool has influenced fractal analysis in neuroscience and shaped the questions researchers devote time to, and (3) it reviews a few examples of ways investigators have developed and used ImageJ for pattern extraction in fractal analysis. Throughout this chapter, the focus is on fostering a collaborative and creative mindset for translating knowledge of the fractal geometry of the brain into clinical reality.

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Background: Several authors have developed important theoretical models on an important transdiagnostic factor in psychopathology: self-criticism (SC). Currently, there are substantial variations in the theoretical definition of SC. The lack of awareness of similarities and differences between models may in turn impact the comparison between empirical results, limiting their clinical implications. Purpose: The purpose of this study was to identify current trends in the field of SC and to explore whether these were approached and shaped by different conceptualizations of SC. Methods: Core components of the most influential models of SC were identified. A meta-review was conducted searching for systematic reviews and/or meta-analyses in the following databases: PsycINFO, PsycARTICLES, MEDLINE, Scopus, Web of Science, and PubMed (all years up to 28 April 2023). Results: Contributions were heterogeneous with respect to the definition of SC and the theoretical framework. Almost all systematic reviews poorly addressed the multidimensionality of SC. In addition, discrepancies between the definitions of SC provided and their operationalizations emerged. Conclusions: The lack of dialogue between the different theoretical perspectives emerged from key contributions in the field of SC. Potential research questions to answer to stimulate this dialogue are proposed.

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The interaction between dark matter and dark energy (DE) can be incorporated into field theory models of DE that have proved successful in alleviating the coincidence problem. We review recent advances in this field, including new models and constraints from different astronomical data sets. We show that interactions are allowed by observations and can reduce the current tensions among different measurements of cosmological parameters. We extend our discussion to include constraints from non-linear effects and results from cosmological simulations. Finally, we discuss forthcoming multi-messenger data from current and future observational facilities that will help to improve our understanding of the interactions within the dark sector.

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Introducción: En la actualidad existe la necesidad de un modelo de formación de la competencia profesional gestión de seguridad de las personas enfermas en cuidados intensivos. Objetivo: Diseñar un modelo de formación de competencia profesional gestión de la seguridad de personas enfermas en cuidados intensivos. Métodos: Se realizó una investigación cualitativa-descriptiva en la Filial Ciencias Médicas de Baracoa de la Universidad Ciencias Médicas Guantánamo, Cuba, desde 2016 a 2018. El universo estuvo constituido por 74 docentes de la provincia. Se seleccionó una muestra por el método aleatorio simple de 21 docentes de Enfermería, equivalente al 30 por ciento, se emplearon los métodos holístico-configuracional, modelación, análisis documental para la fundamentación de presupuestos epistemológicos, filosóficos, psicológicos y pedagógicos que lo sustentan. Se aplicó un cuestionario mediante entrevista a directivos y profesores. Luego se procedió a estructurar el modelo. Resultados: El modelo comprende tres dimensiones: cognitivo-afectiva de los cuidados intensivos, orientación cultural profesional y valoración reflexiva en la seguridad de la persona enferma en cuidados intensivos. De ellas se estructuraron las configuraciones, a partir de sus relaciones internas y emergieron las cualidades: cognitiva-intelectual de Enfermería en cuidados intensivos, procedimental-motriz y actitudinal-afectiva. Conclusiones: El modelo se conforma como síntesis dialéctica en la integración funcional del saber, saber hacer y saber ser, que le permiten al estudiante garantizar una atención de calidad a partir de identificar, evaluar, reducir o eliminar el riesgo de que se produzca un evento adverso que afecte a: personas enfermas, familiares, población, profesionales y a la propia institución(AU)

Introduction: Nowadays, there is a need for a training model aimed at the professional competence management of safety of sick people in intensive care. Objective: To design a training model for the professional competence management of safety of sick people in intensive care. Methods: A qualitative-descriptive research was conducted in the Baracoa municipality's medical sciences campus of Universidad de Ciencias Médicas de Guantánamo, Cuba, from 2016 to 2018. The universe was made up of 74 professors of the province. Using the simple random method, a sample of 21 Nursing professors was selected, accounting for 30 percent. The holistic-configurational, modeling and documental analysis methods were used for the substantiation of epistemological, philosophical, psychological and pedagogical assumptions that support it. A questionnaire was applied by means of an interview to academic managers and professors. The model was then structured. Results: The model comprises three dimensions: the cognitive-affective dimension of intensive care, professional cultural orientation, and reflective assessment in the safety of the sick person in intensive care. From these, the configurations were structured, based on their internal relationships; and the qualities emerged: cognitive-intellectual of intensive care nursing, procedural-motor and attitudinal-affective. Conclusions: The model is shaped as a dialectical synthesis in the functional integration of knowledge, know-how and know-how to be (values), which allows the student to ensure quality care upon identifying, assessing, reducing or eliminating the risk of an adverse event affecting sick people, their family members, the population, professionals and the institution itself(AU)

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Tingui biochar (TB) activated with potassium hydroxide (TB-KOH) was synthesized in the present study. The adsorption capacity of TB-KOH was evaluated for the removal of acetaminophen and caffeine in monocomponent and bicomponent solutions. As a result, the study of the TB-KOH characterization as well as the adsorption kinetics, isotherm, thermodynamics, and a suggestion of the global adsorption mechanism are presented. TB-KOH was characterized through physical-chemical analysis to understand its surface morphology and how it contributes to the adsorption of these drugs. Furthermore, modelling using advanced statistical physical models was performed to describe how acetaminophen and caffeine molecules are adsorbed in the active sites of TB-KOH. Through the characterizations, it was observed that the activation with KOH contributed to the development of porosity and functional groups (-OH, C-O, and C = O) on the surface of TB. The monocomponent adsorption equilibrium was reached in 90 min with a maximum adsorption capacity of 424.7 and 350.8 mg g-1 for acetaminophen and caffeine, respectively. For the bicomponent solution adsorption, the maximum adsorption capacity was 199.4 and 297.5 mg g-1 for acetaminophen and caffeine, respectively. The isotherm data was best fitted to the Sips model, and the thermodynamic study indicated that acetaminophen removal was endothermic, while caffeine removal was exothermic. The mechanism of adsorption of acetaminophen and caffeine by TB-KOH was described by the involvement of hydrogen bonds and π-π interactions between the surface of TB-KOH and the molecules of the contaminants.

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Using latent profile analyses, the current work investigated levels of adverse childhood experiences, symptoms of anxiety and depression and 3 dimensions of relational promotive factors) to identify resilience profiles in a large general population sample (N = 161,622, mean age = 53.02; SD = 17.80; 56.1% females). We then used the same method to identify the resilience profiles of military veterans (N = 386, mean age = 43.47; SD = 10.08; 9.8% females), all of whom had served in Afghanistan. A four-profile-solution was the best fitting for the general population (High resilient 30%, Moderate resilient 13%, Low resilient 53%, Work/social-based resilience 4%), while a three-profile-solution had the best fit in the veteran cohort (Family-based resilience 28%, Work/social-based resilience 62%, Hardy loners 10%). To ground the identified profiles in occupational function, we also checked how they predicted reports of sleep difficulties, job demand and job control. Despite both samples inhabiting a geographic region known for high socioeconomic similarity among residents, we found marked differences in profile-solutions between the military veterans and the general population. Our findings suggests that resilience profiles are highly influenced by cohort characteristics and the specific resources needed to manage a given stressor load. Accordingly, the generalisability of specific protective factors may be low across distinct cohorts, and reliable findings need to be obtained in specific populations as defined by stressor context, sample characteristics, and relevant outcomes.

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INTRODUCTION: Patient-centred care (PCC) is widely used within the medical setting, but there is a need for more research on PCC implementation in dentistry. SOURCES OF DATA: A narrative review was conducted with literature identified from the Ovid Interface, including several databases such as Embase and Medline. AREAS OF AGREEMENT: PCC is associated with better health outcomes for patients, and greater work satisfaction among healthcare professionals. AREAS OF CONTROVERSY: Efforts to implement PCC in dentistry are lacking due to several issues including non-consensus about PCC definition and lack of explicit guidelines on how to implement PCC in dentistry. GROWING POINTS AND AREAS TIMELY FOR DEVELOPING RESEARCH: A theory-derived model of PCC explicitly designed for the dental setting was identified. This serves as a starting point to enhance PCC in dentistry, though further research is needed to empirically test the implementation of this model.

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The surfactant-macromolecule interactions (SMI) are one of the most critical topics for scientific research and industrial application. Small-angle X-ray scattering (SAXS) is a powerful tool for comprehensively studying the structural and conformational features of macromolecules at a size ranging from Angstroms to hundreds of nanometers with a time-resolve in milliseconds scale. The SAXS integrative techniques have emerged for comprehensively analyzing the SMI and the structure of their complex in solution. Here, the various types of emerging interactions of surfactant with macromolecules, such as protein, lipid, nuclear acid, polysaccharide and virus, etc. have been systematically reviewed. Additionally, the principle of SAXS and theoretical models of SAXS for describing the structure of SMI as well as their complex has been summarized. Moreover, the recent developments in the applications of SAXS for charactering the structure of SMI have been also highlighted. Prospectively, the capacity to complement artificial intelligence (AI) in the structure prediction of biological macromolecules and the high-throughput bioinformatics sequencing data make SAXS integrative structural techniques expected to be the primary methodology for illuminating the self-assembling dynamics and nanoscale structure of SMI. As advances in the field continue, we look forward to proliferating uses of SAXS based upon its abilities to robustly produce mechanistic insights for biology and medicine.

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Background: Despite the overwhelming evidence of its effectiveness, there is poor implementation of take-home naloxone by pharmacists. Barriers have been explored and mapped to the capability, opportunity, motivation-behaviour (COM-B) model of behaviour change, yet no theoretically informed implementation strategies that target known barriers have been developed. Single-session implementation strategies have been proposed as a simple, scalable way to target multiple barriers. Methods: Qualitative participatory methods, incorporating design-thinking principles, were used to develop the key messages of a single-session implementation strategy. The key messages were drafted against COM-B mapped implementation barriers identified in the literature. A participatory workshop involving a pre-mortem exercise and incorporating design-thinking principles were used to refine the messages and generate methods for dissemination. Messages were mapped to interview questions to naturally illicit stories and delivered via storytelling from a pharmacist, a general practitioner, and a person with lived experience of using naloxone. Results: A 3 minute 40 second video and a two-page printable infographic were developed and hosted on a website, with links to additional downloadable resources as a single-session implementation strategy. Email was the preferred method for receiving simple professional development communications, with social media also widely accessed. Discussion: Implementation science, behavioural change theory, and participatory design methods are a complementary combination to develop implementation strategies. Some pharmacists questioned the participatory design approach to developing an implementation strategy, as it was outside of their comfort zone. However, the participatory process involving end-users resulted in unique ideas that are unlikely to have been generated using more traditional consultative approaches. The delivery as a single-session implementation strategy allows for widespread dissemination and delivery at scale.

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BACKGROUND: The work proposes a new mathematical model of dynamic processes of a typical spatially heterogeneous biological system, and sets and solves a mathematical problem of modeling the dynamics of the system of neurovascular units of the brain in conditions of ischemic stroke. There is a description of only a small number of mathematical models of stroke in the literature. This model is being studied and a numerical and software implementation of the corresponding mathematical problem is proposed. METHODS: This work is the first attempt ever aiming to employ a Monte Carlo computational approach for In Silico simulation of the most critical parameters in molecular and cellular pathogenesis of the brain ischemic stroke. In this work, a new mathematical model of the development of ischemic stroke is proposed in the form of a discrete model based on neurovascular units (NVU) as elements. RESULTS: As a result of testing the program with the assignment of empirically selected coefficients, data were obtained on the evolution of the states of the lattice of the cellular automaton of the model for the spread of stroke in a region of the brain tissue. A resulting new theoretical model of the particular pathologically altered biosystem might be taken as a promising tool for further studies in neurology; general pathology and cell biology. CONCLUSION: For the first time, a mathematical model has been constructed that allows us to represent the spatial dynamics of the development of the affected area in ischemic stroke of the brain, taking into account neurovascular units as single morphofunctional structures.

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Un modelo científico es una representación abstracta, conceptual, gráfica, física y/o matemática, de sistemas, objetos, fenómenos y procesos físicos o sociales, que buscan analizar, describir, explicar, simular esos sistemas y fenómenos o procesos presentados ante una situación real. Los modelos se desarrollan a través de un proceso iterativo que permite determinar un resultado final a partir de unos datos de entrada, en el cual la evidencia empírica permite revisar y modificar los presupuestos básicos de los mismos. En nuestro caso, la profesión de enfermería, en España, los modelos actuales vienen dados e intentamos cuadrar nuestra realidad en ellos. Considerando nuestros propios objetivos, es necesario que nuestros modelos se ajusten a la situación de realidad que conceptualizan, pues es distinta. Todo modelo debe construirse a partir de conceptos y relaciones específicas en una adaptación a la realidad que cada profesional, enfermera vive. En nuestro caso, hablamos del contexto de cada enfermera, la situación cultural en la que se llevan a cabo los procesos de comunicación e interrelación, apoyándonos en bases epistemológicas y ontológicas, y siendo conocedores de los elementos conceptuales que dan sentido a la profesión. (AU)

A scientific model is an abstract, conceptual, graphic, physical and/or mathematical representation of systems, objects, phenomena and physical or social processes, which seek to analyse, describe, explain, simulate those systems and phenomena or processes presented in a real situation. The models are developed through an iterative process that allows determining a result from some input data, in which the empirical evidence allows reviewing and modifying their basic assumptions. In our case, the nursing profession in Spain, the current models are given, and we try to fit our reality into them. In relation with our own objectives, it is necessary that our models adjust to the reality that they conceptualize, since it is different. Every model must be built from specific concepts and relationships in an adaptation to the reality that each professional, nurse lives. In our case, we speak of the context of each nurse, the cultural situation in which communication and interrelation processes are carried out, relying on epistemological and ontological bases, and being aware of the conceptual elements that give meaning to the profession. (AU)

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The remarkable roles of metal promoters have been known for nearly a century, but it is still a challenge to find a suitable structure model to reveal the action mechanism behind metal promoters. Herein, a new function of metal-organic frameworks (MOFs) is developed as an ideal model to construct structurally ordered metal promoters by a targeted post-modification strategy. MOFs as model not only favor clearing the real action mechanism behind metal promoters, but also can anchor one or multiple kinds of metal promoters especially noble metal promoters. Typically, the as-prepared Pd/bpy-UiO-Cu catalysts show high selectivity (>99%) toward 4-nitrophenylethane in 4-nitrostyrene hydrogenation, mainly due to the enhanced interaction between Pd nanoparticles and MOF carriers induced by Cu promoters, thus inhibiting the hydrogenation of 4-nitrophenylethane. This strategy with flexibility and universality will open up a new route to synthesize efficient catalysts with structurally ordered metal promoters.

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The main goal of this paper is to give an overlook of the current state of sexual harassment. In order to do so, we started making a synthesis of the main theoretical approaches to explain sexual harassment, trying to group the studies into different currents that have historically analyzed this type of violence, to see whether the bibliometric analysis shows a similar presence of the different approaches. To carry out the bibliographic analysis we extracted the documents from the Scopus databases (using the keyword "sexual harassment" up to the year 2021 in the field of social sciences), where after these texts were examined with the tool VOSviewer. A description was made of the evolution of the number of articles on sexual harassment and within the areas of research and, also, the coincidences of keywords and co-authorships, highlighting the nationality and the main authors in number of citations. The results show a growth in interest in researching sexual harassment, specifically after the allegations against producer Harvey Weinstein and the #metoo movement. In the keyword analysis, there is a trend towards studies focused on the work environment and with a gender perspective. Finally, in the cluster analysis of the authorship of the texts, the results suggest the different theoretical approaches most used in the analysis of sexual harassment: socio-cultural, organizational, and multi-dimensional.