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Abstract A high-casualty incident may result in a significant human toll due to the inability of a community to meet the health care demands of the population. A successful medical response requires health care facilities to not only communicate and integrate medical services, meet surge capacity, protect health care workers and implement triage and treatment protocols, but also to provide the venue for clinical management of acute radiation injuries and their associated infections. Today, clinical management is primarily guided by the recommendations of a Consultancy that were made at the World Health Organization (WHO). This international consensus was reached on evidence-based, clinical management of each of the four sub-syndromes that compose acute radiation syndrome (ARS), including the hematopoietic subsyndrome (HS), gastrointestinal subsyndrome (GIS), neurovascular subsyndrome (NVS) and cutaneous subsyndrome (CS). Major findings in studies meeting inclusion criteria for management strategies for HS were that (i) no randomized controlled studies of medical countermeasures have been (or will likely ever be) performed for ARS cases, (ii) the data for management of HS are restricted by the lack of comparator groups, and (iii) reports of countermeasures for management of injury to non-hematopoietic organs are often incompletely described. Here, (i) recommendations made in Geneva are summarized; (ii) the analysis of countermeasures for HS is updated by review of two additional cases and extended to published reports not meeting inclusion criteria; and (iii) guidelines are provided for management of microbial infections based upon patient risk for prolonged immunosuppression.

Protein synthesis is a fundamental process that underpins almost every aspect of cellular functioning. Intriguingly, despite their common function, recessive mutations in aminoacyl-tRNA synthetases (ARSs), the family of enzymes that pair tRNA molecules with amino acids prior to translation on the ribosome, cause a diverse range of multi-system disorders that affect specific groups of tissues. Neurological development is impaired in most ARS-associated disorders. In addition to central nervous system defects, diseases caused by recessive mutations in cytosolic ARSs commonly affect the liver and lungs. Patients with biallelic mutations in mitochondrial ARSs often present with encephalopathies, with variable involvement of peripheral systems. Many of these disorders cause severe disability, and as understanding of their pathogenesis is currently limited, there are no effective treatments available. To address this, accurate in vivo models for most of the recessive ARS diseases are urgently needed. Here, we discuss approaches that have been taken to model recessive ARS diseases in vivo , highlighting some of the challenges that have arisen in this process, as well as key results obtained from these models. Further development and refinement of animal models is essential to facilitate a better understanding of the pathophysiology underlying recessive ARS diseases, and ultimately to enable development and testing of effective therapies.

Currently, many applications have emerged from the implementation of software development and hardware use, known as the Internet of things. One of the most important application areas of this type of technology is in health care. Various applications arise daily in order to improve the quality of life and to promote an improvement in the treatments of patients at home that suffer from different pathologies. That is why there has emerged a line of work of great interest, focused on the study and analysis of daily life activities, on the use of different data analysis techniques to identify and to help manage this type of patient. This article shows the result of the systematic review of the literature on the use of the Clustering method, which is one of the most used techniques in the analysis of unsupervised data applied to activities of daily living, as well as the description of variables of high importance as a year of publication, type of article, most used algorithms, types of dataset used, and metrics implemented. These data will allow the reader to locate the recent results of the application of this technique to a particular area of knowledge.

The development of ars in the theological-philosophical works of Ramon Llull (ca.1232–1316). By synthesising the most recent specialist research, notably that of Anthony Bonner and Mark D. Johnston, this article provides an accessible overview of the development of the ‘great universal art’ or ars in Ramon Llull’s (ca.1232–1316) theological-philosophical output, as presented in his works Libere de contemplació en Déu, Ars compendiosa inveniendi veritatem, Ars inventiva veritatis, Tabula generalis, Ars demonstrativa and Ars generalis ultima. It is shown that Llull’s ars was an eccentric yet coherent attempt to provide an alternative to both the Aristotelian scholastic-conceptual framework and its radicalised versions in Averroism during the second half of the 13th century. By insisting on religious tolerance as its premise, Llull embedded this alternative squarely within the monotheistic missionary context of the same period. Without neglecting the discursive magnitude of his ars, this rather ‘nonmedieval’ tolerance stands as Llull’s greatest gift to the central Middle Ages and its subsequent idea-historical development in both theology and philosophy.Intradisciplinary and/or interdisciplinary implicationsAs a millennium-long discourse, Medieval philosophy functions in a Venn diagrammatic relationship with Medieval history, church history, patristics, philosophy of religion, and in this case, missiology. Whenever mainstream or ‘canonised’ Medieval philosophy is being impacted by specialist research, it may well have noteworthy implications for these related disciplines. Such is the case in this critical reappraisal of theological-philosophical aspects in the central Medieval ars of Ramon Llull.

The development of ars in the theological-philosophical works of Ramon Llull (ca.1232-1316). By synthesising the most recent specialist research, notably that of Anthony Bonner and Mark D. Johnston, this article provides an accessible overview of the development of the 'great universal art' or ars in Ramon Llull's (ca.1232-1316) theological-philosophical output, as presented in his works Libere de contemplació en Déu, Ars compendiosa inveniendi veritatem, Ars inventiva veritatis, Tabula generalis, Ars demonstrativa and Ars generalis ultima. It is shown that Llull's ars was an eccentric yet coherent attempt to provide an alternative to both the Aristotelian scholastic-conceptual framework and its radicalised versions in Averroism during the second half of the 13th century. By insisting on religious tolerance as its premise, Llull embedded this alternative squarely within the monotheistic missionary context of the same period. Without neglecting the discursive magnitude of his ars, this rather 'nonmedieval' tolerance stands as Llull's greatest gift to the central Middle Ages and its subsequent idea-historical development in both theology and philosophy. Intradisciplinary and/or interdisciplinary implications As a millennium-long discourse, Medieval philosophy functions in a Venn diagrammatic relationship with Medieval history, church history, patristics, philosophy of religion, and in this case, missiology. Whenever mainstream or 'canonised' Medieval philosophy is being impacted by specialist research, it may well have noteworthy implications for these related disciplines. Such is the case in this critical reappraisal of theological-philosophical aspects in the central Medieval ars of Ramon Llull.

The energy transition, originating in the limitation of fossil resources and greenhouse gas (GHG) emission reduction, is the basis of many studies on renewable energies in different industrial applications. The diffusion absorption refrigeration machines are very promising insofar as they allow the use of renewable resources (solar, geothermal, waste gas, etc.). This technology is often considered an alternative to vapor compression systems in cooling and refrigeration applications. This paper aims to overview the thermal mechanisms related to modeling system energy sources and highlight the primary methodologies and techniques used. We study and analyze the technology’s current challenges and future directions and, finally, identify the gaps in the existing models to pave the way for future research. The paper also gives a classification of absorption refrigeration systems (ARS) to position and limit the scope of the study. The paper will help researchers who approach the various aspects to have a global synthetic analysis of the mechanisms characterizing the modeling of energy sources of absorption refrigeration machines.

Heart failure (HF) remains the leading cause of mortality worldwide. Although various drugs are currently used in the treatment of HF, including angiotensin receptor blockers, angiotensin‐converting enzyme inhibitors and beta blockers, none of these drugs can reverse the physiological remodelling of the heart associated with HF. Therefore, discovering novel drugs that can limit the extent of HF or prevent the structural dysfunction of the heart during HF progression is urgently needed. Baicalin is a natural flavonoid widely used in Traditional Chinese Medicine for its anti‐inflammatory and anti‐oxidative effects; however, the role of baicalin in chronic HF, in particular its underlying mechanisms of action, remains largely unelucidated. Murine models of beta‐adrenergic receptor agonist (β‐AR)‐induced HF were induced via chronic induction with isoproterenol (ISO) for 4 weeks. Furthermore, we examined the effects and mechanisms of baicalin in protecting against ISO‐induced cardiac impairment and HF. Daily administrations of baicalin robustly protected against chronic ISO‐induced pathophysiological changes of the heart, including cardiac hypertrophy, reduced ejection fraction, fibrosis and remodelling. Baicalin also strongly inhibited the production of reactive oxygen and nitrogen species in the heart by preventing overactivation of the NADPH oxidase NOX2. Hence, the cardioprotective effects of baicalin in preventing chronic β‐AR‐induced HF were due to preventing the overactivation of NOX2 and generation of excessive oxidative stress. Our findings provide new mechanistic insight and suggest the therapeutic potential of baicalin as a novel drug in the treatment of chronic HF.

Eukaryotic DNA replication begins with multiple origins of replication (ORIs) and thus exploring and identifying ORIs is essential for further understanding of the DNA replication process. In budding yeast, certain autonomously replicating sequences (ARSs) initiate the replication as ORIs, maintaining the stability of chromosomes and plasmids during genome replication. Currently, ARS identification was further facilitated by the DNA microarray technology and bioinformatics, which is based on the previous experimental methods. The structural and functional properties of ARSs on yeast chromosomes are gradually explored in this field. In addition to the function of initiating replication, there is a growing interest for researchers in the effects of ARSs on gene silencing and expression of genes, particularly the relationship between ARSs and chromosome structure. In this review, we summarized the identification methods of ARSs, especially for the bioinformatics prediction methods over the past few years. The functions of ARSs are discussed in this research, moreover, ARS modification that combined with the high‐throughput sequencing was elaborated as well, shedding further light on the understanding of the roles of ARSs, and providing deep insights towards the optimization of ARSs.

Background Fish gut microbial assemblages play a crucial role in the growth rate, metabolism, and immunity of the host. We hypothesized that the gut microbiota of rainbow trout was correlated with breeding program based genetic selection for muscle yield. To test this hypothesis, fecal samples from 19 fish representing an F2 high-muscle genetic line (ARS-FY-H) and 20 fish representing an F1 low-muscle yield genetic line (ARS-FY-L) were chosen for microbiota profiling using the 16S rRNA gene. Significant differences in microbial assemblages between these two genetic lines might represent the effect of host genetic selection in structuring the gut microbiota of the host. Results Tukey’s transformed inverse Simpson indices indicated that high muscle yield genetic line (ARS-FY-H) samples have higher microbial diversity compared to those of the low muscle yield genetic line (ARS-FY-L) (LMM, χ2(1) =14.11, p  < 0.05). The fecal samples showed statistically distinct structure in microbial assemblages between the genetic lines (F 1,36  = 4.7, p < 0.05, R 2  = 11.9%). Functional profiling of bacterial operational taxonomic units predicted characteristic functional capabilities of the microbial communities in the high (ARS-FY-H) and low (ARS-FY-L) muscle yield genetic line samples. Conclusion The significant differences of the microbial assemblages between high (ARS-FY-H) and low (ARS-FY-L) muscle yield genetic lines indicate a possible effect of genetic selection on the microbial diversity of the host. The functional composition of taxa demonstrates a correlation between bacteria and improving the muscle accretion in the host, probably, by producing various metabolites and enzymes that might aid in digestion. Further research is required to elucidate the mechanisms involved in shaping the microbial community through host genetic selection.

The Assisted Living Environments Research Area–AAL (Ambient Assisted Living), focuses on generating innovative technology, products, and services to assist, medical care and rehabilitation to older adults, to increase the time in which these people can live. independently, whether they suffer from neurodegenerative diseases or some disability. This important area is responsible for the development of activity recognition systems—ARS (Activity Recognition Systems), which is a valuable tool when it comes to identifying the type of activity carried out by older adults, to provide them with assistance. that allows you to carry out your daily activities with complete normality. This article aims to show the review of the literature and the evolution of the different techniques for processing this type of data from supervised, unsupervised, ensembled learning, deep learning, reinforcement learning, transfer learning, and metaheuristics approach applied to this sector of science. health, showing the metrics of recent experiments for researchers in this area of knowledge. As a result of this article, it can be identified that models based on reinforcement or transfer learning constitute a good line of work for the processing and analysis of human recognition activities.