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The origin of life must have been preceded by Darwin-like evolutionary dynamics that could propagate it. How did that adaptive dynamics arise? And from what prebiotic molecules? Using evolutionary invasion analysis, we develop a universal framework for describing any origin story for evolutionary dynamics. We find that cooperative autocatalysts, i.e. autocatalysts whose per-unit reproductive rate grows as their population increases, have the special property of being able to cross a barrier that separates their initial degradation-dominated state from a growth-dominated state with evolutionary dynamics. For some model parameters, this leap to persistent propagation is likely, not rare. We apply this analysis to the Foldcat Mechanism, wherein peptides fold and help catalyse the elongation of each other. Foldcats are found to have cooperative autocatalysis and be capable of emergent evolutionary dynamics.

In the United States (US), biosafety and biosecurity oversight of research on viruses is being reappraised. Safety in virology research is paramount and oversight frameworks should be reviewed periodically. Changes should be made with care, however, to avoid impeding science that is essential for rapidly reducing and responding to pandemic threats as well as addressing more common challenges caused by infectious diseases. Decades of research uniquely positioned the US to be able to respond to the COVID-19 crisis with astounding speed, delivering life-saving vaccines within a year of identifying the virus. We should embolden and empower this strength, which is a vital part of protecting the health, economy, and security of US citizens. Herein, we offer our perspectives on priorities for revised rules governing virology research in the US.

How bees shift the timing of their seasonal activity (phenology) to track favorable conditions influences the degree to which bee foraging and flowering plant reproduction overlap. While bee phenology is known to shift due to interannual climatic variation and experimental temperature manipulation, the underlying causes of these shifts are poorly understood. Most studies of bee phenology have been phenomenological and have only examined shifts of point estimates, such as first appearance or peak timing. Such cross-sectional measures are convenient for analysis, but foraging activity is distributed across time, and pollination interactions are better described by overlap in phenological abundance curves. Here, we make simultaneous inferences about interannual shifts in bee phenology, emergence and senescence rates, population size, and the effect of floral abundance on observed bee abundance. We do this with a model of transition rates between life stages implemented in a hierarchical Bayesian framework and parameterized with fine-scale abundance time series of the sweat bee Halictus rubicundus at the Rocky Mountain Biological Laboratory in Colorado. We find that H. rubicundus 's emergence cueing was highly sensitive to the timing of snowmelt but that emergence rate, senescence rate, and population size did not differ greatly across years. The present approach can be used to glean information about vital rates from other datasets on bee and flower phenology, improving our understanding of pollination interactions. [ABSTRACT FROM AUTHOR]

In this article, I argue that life is a strongly emergent phenomenon. For the project of drawing a real distinction between living and non‐living beings cannot but appeal to strongly emergent powers. First, I introduce some features whose possession is typically taken to be sufficient for possessing life, i.e., Life‐Sufficient Features (or LS‐Features). I also clarify what I mean by "strongly emergent powers". And I fully develop and illustrate my argument. Subsequently, I examine no less than 17 possible reactions to my argument. I show why all of such reactions turn out to be troublesome or inadequate. [ABSTRACT FROM AUTHOR]

Over the past two decades, advancements have been made towards de‐medicalising the term 'dementia', attending to in‐the‐moment lived experiences of people with the condition, and exploring the connections between dementia and place, relations, activities, and well‐being. In the same timeframe, a range of prominent researchers within health geography have proposed new renegotiations of well‐being that consider it as something relational, process‐oriented, and emergent. Although these progressions in both dementia studies and health geography are ontologically aligned, the two lines of enquiry have only recently started to see crossover, pioneered by geographers seeking to better understand what it means to 'live well with dementia in the moment'. In this theoretically driven paper, I celebrate these contributions to dementia and well‐being studies through a timely review of the literature that informed the theoretical underpinnings of my own doctoral studies. Through the literature, I consider how a relational well‐being lens can make supportive and empowering in‐the‐moment contributions to people living with dementia, who seek ways of 'being well' and 'doing well'. As part of a special edition of Area, this paper takes us from the early inputs of health geographers to dementia and relational well‐being knowledge, through to present‐day literature and the future of dementia research framed around the in‐the‐moment movement. The contents of this paper ultimately support the importance of pushing the theoretical and conceptual boundaries of dementia research and well‐being studies, to subsequently broaden our understandings of dementia and provide a new well‐being lens that better captures the perspectives of those living with it. [ABSTRACT FROM AUTHOR]

Background: This study was designed to compare the effect of nalbuphine versus dexmedetomidine on the incidence of post-operative emergence agitation (EA) in pediatric patients undergoing elective lower abdominal surgical procedures during anesthesia with sevoflurane. Methods: A prospective, controlled trial of 135 children aged 3–6 years scheduled for elective lower abdominal surgery was randomly assigned to one of the three equal groups receiving either nalbuphine 0.1 mg/kg IV (Group N), dexmedetomidine 0.5 mic/kg IV in (Group D) or a saline solution (Group C) at 10 min before the end of surgery in a double-blind manner. Post-operative EA was assessed with pediatric anesthesia emergence delirium (PAED) scale. Results: The incidence of EA was significantly low in children in Group N and Group D compared to placebo group (p = 0.011) with no significant difference between Group N and Group D. The number of patients receiving nalbuphine and post-operative nalbuphine consumption during PACU stay were significantly higher in Group C than in Groups N and D (p = 0.024 and 0.001 respectively) with no significant differences between Group N and Group D. There was no significant difference regarding pain between the three groups at 5, 10, 20 and 30 min postoperatively. No significant difference among groups regarding the time to Aldrete score. The overall incidence of vomiting in our study was similar in the three groups. Conclusion: Nalbuphine 0.1 mg/kg was comparable to dexmedetomidine 0.5 mic/kg for decreasing the incidence and severity of EA in the PACU in sevoflurane-anesthetized children when administered intravenously 10 min before the end of surgery. Trial registration: This study was registered at ClinicalTrials.gov NCT05273671 (10/03/2022). [ABSTRACT FROM AUTHOR]

This study aims to shed light on the conceptual implications of emerging media or emergent media from a transdisciplinary perspective. Drawing on the philosophical thoughts of complex dynamic systems and emergentism, this study reviews the literature across various disciplines bearing on emerging media and illustrates the value of invoking the concept to understand the fast-evolving communication technologies. Emerging media is defined as complex dynamic systems that are constituted through and in communication practices, suggestive of both materiality and sociality, and characterized by emergent processes. By emphasizing a conceptualization of media as dynamic, emergent, relational, and situated systems, this study calls for empirical studies of emerging media employing a transdisciplinary approach. [ABSTRACT FROM AUTHOR]

Teaching with virtual worlds provides new means for collaborative learning but creates challenges for teachers in terms of IT skills. To address these challenges, we developed a teaching model for using virtual worlds in classroom practices and applied it to Minecraft in several rounds of design-based research experiments. Our conceptual framework combines ideas from software engineering (sociotechnical congruence) and social sciences (intersubjectivity and emergence). Empirically, we addressed the problem of how shared understanding evolves in computer-mediated learning activities. We video-recorded classroom activities and analyzed them using interaction analysis. The teaching model engaged the students in two interdependent processes, referred to as objects: (1) a social object (discussions) that led to a shared knowledge object (video-recorded role-play) and (2) a technology object (Minecraft buildings) for staging the role-play. Our findings include an empirical phenomenon that we call emergent group understanding, which arose from the complex social interactions between social and technology objects when Minecraft was used as a virtual world in a social studies classroom. This revealed two connected subprocesses: (1) a spontaneous act of providing information to assist learners in contextualizing their actions and interactions against a common background, and (2) setting localized goals to guide future actions and interactions. This finding extends previous research by identifying fine-grained processes of intersubjectivity that contribute to collaborative learning. More generally, our teaching model addresses the problem of balancing creative and instructional learning goals. [ABSTRACT FROM AUTHOR]

In the face of uncontrollable complexity, the concept of a rational design of the organization is being replaced by the notion of an open future that is inherently unpredictable and unplanable. In rapidly changing environments, organizations and leaders are confronted with a constant stream of irritations and unexpected developments, that require ongoing attention. This prompts the question of whether the conceptualization of digital transformation as a paradigm shift also implies the need for new forms of leadership. The article analyzes the discourse on digital leadership and assesses the extent to which this concept relativizes leadership in the context of the evolution of leadership theory, which is characterized by a persistent process of modification and relativization of preceding concepts. Leadership concepts are not only responsive to general needs, but also vary according to specific contexts, such as non-profit leadership or leadership in social welfare organizations and meta-organizations. Results of a discourse analysis, which underscore the significance of adopting a complexity theory perspective on digital leadership, will therefore be contrasted with the initial findings of an empirical study on digitization in such meta-organizations. This allows for a discussion of the general findings on the revitalization of leadership, which will serve as a paradigmatic example of the previously developed context. The article concludes with implications for further theory development with the aim of making a specific contribution to organization-sensitive digitization research. The findings of the empirical study indicate the significance of employing informal structures and a heightened emphasis on subjectivity within meta-organizations, as opposed to the formal structures of organizations. The concept of digital leadership does not signify the obsolescence of traditional leadership; rather, it can be conceptualized as an advanced form of unheroic leadership within the context of external and internal complexity. [ABSTRACT FROM AUTHOR]

Background: Artemisinin-based combination therapy (ACT) is currently recommended for treatment of uncomplicated malaria. However, the emergence and spread of partial artemisinin resistance threatens their effectiveness for malaria treatment in sub-Saharan Africa where the burden of malaria is highest. Early detection and reporting of validated molecular markers (pfk13 mutations) in Plasmodium falciparum is useful for tracking the emergence and spread of partial artemisinin resistance to inform containment efforts. Methods: Genomic surveillance was conducted at 50 surveillance sites across four regions of Uganda in Karamoja, Lango, Acholi and West Nile from June 2021 to August 2023. Symptomatic malaria suspected patients were recruited and screened for presence of parasites. In addition, dried blood spots (DBS) were collected for parasite genomic analysis with PCR and sequencing. Out of 563 available dried blood spots (DBS), a random subset of 240 P. falciparum mono-infections, confirmed by a multiplex PCR were selected and used for detecting the pfk13 mutations by Sanger sequencing using Big Dye Terminator method. Regional variations in the proportions of pfk13 mutations were assessed using the chi square or Fisher's exact tests while Kruskal–Wallis test was used to compare absolute parasite DNA levels between wild type and mutant parasites. Results: Overall, 238/240 samples (99.2%) contained sufficient DNA and were successfully sequenced. Three mutations were identified within the sequenced samples; pfk13 C469Y in 32/238 (13.5%) samples, pfk13 A675V in 14/238 (5.9%) and pfk13 S522C in (1/238 (0.42%) samples across the four surveyed regions. The prevalence of pfk13 C469Y mutation was significantly higher in Karamoja region (23.3%) compared to other regions, P = 0.007. The majority of parasite isolates circulating in West Nile are of wild type (98.3), P = 0.002. Relative parasite DNA quantity did not differ in samples carrying the wild type, C469Y and A675V alleles (Kruskal–Wallis test, P = 0.6373). Conclusion: Detection of validated molecular markers of artemisinin partial resistance in multiple geographical locations in this setting provides additional evidence of emerging threat of artemisinin partial resistance in Uganda. In view of these findings, periodic genomic surveillance is recommended to detect and monitor levels of pfk13 mutations in other regions in parallel with TES to assess potential implication on delayed parasite clearance and associated treatment failure in this setting. Future studies should consider identification of potential drivers of artemisinin partial resistance in the different malaria transmission settings in Uganda. [ABSTRACT FROM AUTHOR]

The concept of emergence, or synergy in its simplest form, is widely used but lacks a rigorous definition. Our work connects information and set theory to uncover the mathematical nature of synergy as the failure of distributivity. For the trivial case of discrete random variables, we explore whether and how it is possible to get more information out of lesser parts. The approach is inspired by the role of set theory as the fundamental description of part–whole relations. If taken unaltered, synergistic behavior is forbidden by the set-theoretic axioms. However, random variables are not a perfect analogy of sets: we formalize the distinction, highlighting a single broken axiom—union/intersection distributivity. Nevertheless, it remains possible to describe information using Venn-type diagrams. The proposed multivariate theory resolves the persistent self-contradiction of partial information decomposition and reinstates it as a primary route toward a rigorous definition of emergence. Our results suggest that non-distributive variants of set theory may be used to describe emergent physical systems. [ABSTRACT FROM AUTHOR]

This study investigated the phytotoxicity of agro-industrial wastes (almond, walnut, pistachio and peanut shells, asparagus spears, and brewer's spent grain) and their biochar through germination bioassays in several horticultural species: green pea, lettuce, radish, and arugula. Biowaste was pyrolyzed under controlled conditions to produce biochar, and both biowaste and biochar were characterized. Germination bioassay was conducted using seeds exposed to different dilutions of aqueous extract of biowaste and their biochar (0, 50, and 100%). Germination percentage, seed vigor, germination index, and root and aerial lengths were evaluated. The results showed that the phytotoxicity of the biowaste was significantly different to that of its biochar. The biochar obtained demonstrated changing effects on germination and seedling growth. In particular, biochar extracts from spent brewers grains, walnut shells, and pistachio shells showed 5–14% increases in seed vigor and root and aerial length. Furthermore, the response of different species to both agro-industrial waste and biochar revealed species-specific sensitivity. Seeds of lettuce and arugula species were more sensitive to aqueous extracts than radish and green peas. This knowledge not only elucidates the behavior of agro-industrial waste-based biochar in the early stage of plant development but also provides valuable insights regarding phytotoxicity, seed sensitivity, and the variables involved in germination. [ABSTRACT FROM AUTHOR]

The positive outcomes associated with the Last Planner System (LPS) of production control are usually interpreted as stemming from the application of LPS-as-theorized in the seminal publications about this method. However, the use of LPS in real settings is subjected to contextual influences and involvement of actors with varying perspectives of what counts as an effective implementation. This suggests that LPS-as-theorized may not be the only valid and sufficient representation to explain its success. This paper investigates how the different representations of LPS contribute to its effectiveness and adaptation to local conditions. It is based on a case study on the implementation of LPS in a refurbishment project. Four representations are compared: LPS-as-theorized (literature based), LPS-as-prescribed (handbook based), LPS-as-disclosed (interviews based), and LPS-as-done, i.e., what happened in reality, according to different sources of evidence. Findings set the basis for proposing a model that frames LPS-as-done as an emergent phenomenon unique to each construction project. This new perspective contributes to the recognition of the role of informal practices, the development of more accurate assessments of LPS implementation, the analysis of trade-offs when using LPS, and the alignment of expectations on the adoption of LPS. Practical Applications: The outcomes of this investigation can help practitioners to identify and appreciate the complementary roles of different representations of the LPS, which are not limited to LPS-as-theorized described in seminal academic papers. The use of LPS in real settings depends on contextual factors and is therefore always unique to some extent. Giving visibility to diverse representations (e.g., LPS-as-prescribed in companies' handbooks, LPS-as-disclosed by managers) supports a more accurate and shared understanding of how LPS is implemented, making it possible to align expectations among project stakeholders. This analysis also sheds light on the need to fill the gaps in the formal planning system, setting the basis for revising procedures and training programs. Furthermore, the findings suggest that the assessment methods of LPS implementation should be based on different sources of data in order to account for the multiple representations. Overall, the results are likely to resonate with practitioners because these will recognize that they are not merely strictly following predefined procedures but rather playing an active role that demands expertise for adjusting theory into practice on an everyday basis. [ABSTRACT FROM AUTHOR]

This study looks at how basic research capabilities develop within enterprise clusters, focusing on the complex and adaptive nature of these systems. It builds a conceptual model using systems theory and applies information entropy to measure how much these capabilities have emerged. This study introduces an innovative application of information entropy to model and quantify the emergence of research capabilities within enterprise clusters, offering a novel framework for assessing research development. To dive deeper, China Pingmei Shenma Group (Henan, China) was used as a case study. A case study approach was used to gather empirical data. This case—focused on a state-owned enterprise cluster in China's coal-based energy and chemical industries—highlights the key factors that influence research capability growth. These factors include support from external systems, how internal resources are used, and their renewal over time. From 2017 to 2022, the study tracked how the organization of research capabilities evolved over time by tracking changes in entropy, revealing the process of research development driven by both internal and external forces. The methodology involves measuring system entropy to evaluate the degree of orderliness and innovation performance, incorporating entropy generation and exchange metrics, which allows for a more precise understanding of system emergence and complexity. The interactions within the system, such as knowledge exchange, research collaboration, and external input from government subsidies or tax incentives, are modeled to track how they influence the system's overall entropy. This study finds that the ability of an enterprise cluster to bring in external resources and reduce internal inefficiencies is critical for enhancing research capabilities. This model can help policymakers and enterprises in strategic decision-making, particularly in industries undergoing technological transformation. This framework also provides practical insights for improving research collaboration and innovation in enterprise clusters, especially in rapidly evolving industries like energy and chemicals. [ABSTRACT FROM AUTHOR]

As global environmental change continues, animals face uncertain habitat availability and quality that influences life cycle phenology and population dynamics. For decades, the population abundance and emergence patterns of burrowing mayflies have been used as a sentinel for water quality changes in large freshwater systems around the world. Despite reduced point source pollutants, evidence is mounting that the interactions among habitat loss, contaminants, and changing climate could be causing declines in mayfly production and shifts in emergence timing. We combined radar observations with traditional field measures to identify changes in mayfly populations from nymph to adult. We studied Hexagenia sp. secondary production in a large reservoir, Lake Seminole, which has contrasting water sources and land use on each arm that could contribute to differences in emergence patterns. We predicted that mayfly secondary production would be higher, and emergence would be earlier in the Chattahoochee arm versus the Flint arm because of differences in available nutrients and temperature. Benthic declines in abundance and biomass followed radar observations of emergence. Mean annual water temperature was similar, with the Flint arm having less seasonal variation. Mayfly growth was similar across the lake, but production was higher in the upper Flint arm, perhaps because of temperature stability, higher nutrient concentrations, and more lotic conditions. The natural abundance of nitrogen‐stable isotopes in mayflies showed distinct patterns between the arms and from nymph to adult. Linking benthic sampling with radar observations verified our capability to track mayfly biomass across the landscape and begin to calibrate previous measures of production with radar‐derived abundance. Coupling radar observations with stable isotope and tissue nutrient measurements allowed us to further quantify the subsidies moving from aquatic to terrestrial ecosystems, setting the framework to examine both historic and future population changes and mayfly contributions to cross‐ecosystem subsidies. [ABSTRACT FROM AUTHOR]

The notion of 'order' has been central in 20th-century attempts to explain complex phenomena. The notion of order in the case of complex phenomena has been generally associated with the idea of 'selforganization'; that is, the spontaneous emergence of coordinating patterns in complex systems. In briefly re-considering the idea of order, this article focuses on 'self-organizing orders' and the implication of this issue not only for a theory of the city but also for a theory of intervention on the city (i.e. a theory of planning). [ABSTRACT FROM AUTHOR]

Inequalities in physical activity are well documented, especially between socioeconomic groups. However, progress on reducing these inequalities is proving challenging. In this commentary, we argue that a complex system perspective is needed, specifically to reorient our thinking of inequalities in physical activity to be emergent features of complex systems. Operationalising this perspective involves acknowledging the multiple dynamic and non-linear interactions which take place between system parts and, over time aggregate to become macro patterns such as physical activity inequalities. We argue that this framing will enhance our understanding of the emergence of inequalities in physical activity and, therefore, provide interventions better suited to the subgroups of the population they are designed to help. [ABSTRACT FROM AUTHOR]

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It was recently shown that integrating out M2 states on Calabi‐Yau manifolds captures non‐perturbative topological string physics in the free energy. In this note, It has been shown that the resulting expression manifests a certain duality symmetry: the free energy at strong string coupling is equal to the Calabi‐Yau period at weak string coupling. The duality yields the appropriate prescription for completing the integrating out in the ultraviolet. [ABSTRACT FROM AUTHOR]

Background and Aims: Emergence agitation (EA) is frequently encountered following nasal surgeries, and postoperative pain is a significant contributing element. We aimed to assess the role of suprazygomatic maxillary nerve (MN) block (SMB) guided by ultrasound (US) in lowering EA incidence and enhancing analgesia quality in septorhinoplasty cases. Material and Methods: Sixty cases aged 18–60 years, of both genders, categorized by the American Society of Anesthesiologists (ASA) I–II and listed for septorhinoplasty, were randomized to receive general anesthesia (GA) with either no block (the control group) or combined with bilateral US-guided SMB (the SMB group). The incidence of EA, postoperative pain scores, total rescue 24-hour analgesic consumption, and incidence of adverse events were all noted. Results: EA incidence was significantly reduced in the SMB group than in the control group (five patients (16.7%) vs 14 patients (46.6%), respectively; P = 0.026). Pain scores at 30 minutes and 1, 2, 4, and 6 hours postoperative were significantly decreased in the SMB group (P = 0.024, 0.000, 0.000, 0.009, and 0.038, respectively), with significantly less morphine consumption at 24 hours postoperative in the SMB group compared with the control group (P = 0.000). No serious adverse events were noted. Conclusions: Preemptive application of US-guided SMB was effective in lowering EA incidence. Furthermore, it enhanced the analgesic quality and reduced the requirement for rescue analgesics in patients undergoing septorhinoplasty. [ABSTRACT FROM AUTHOR]

This work concerns the long-term collective excitability properties and the statistical analysis of the critical events displayed by a recently introduced spatiotemporal many-body model, proposed as a new paradigm for Artificial Life. Numerical simulations show that excitable collective structures emerge in the form of dynamic networks, created by bursts of spatiotemporal activity (avalanches) at the edge of a synchronization phase transition. The spatiotemporal dynamics is portraited by a movie and quantified by time varying collective parameters, showing that the dynamic networks undergo a "life cycle," made of self-creation, homeostasis, and self-destruction. The power spectra of the collective parameters show 1/f power law tails. The statistical properties of the avalanches, evaluated in terms of size and duration, show power laws with characteristic exponents in agreement with those values experimentally found in the neural networks literature. The mechanism underlying avalanches is argued in terms of local-to-collective excitability. The connections that link the present work to self-organized criticality, neural networks, and Artificial Life are discussed. [ABSTRACT FROM AUTHOR]

Through the confluent impacts of the Covid-19 pandemic and the 2021 military coup, Myanmar has become a failed state.3 Deliberate targeting of humanitarian actors by the military junta has severely constrained the activities of international non-governmental organisations and United Nations agencies. In the first three post-coup years, welfare provision to the distressed and displaced were mainly undertaken by local actors who adapted to new conditions of both insecurity and broader economic turmoil. This localised welfare is intertwined with emergent local governance mechanisms, using technology and data analysis to deliver transparent, accountable, and inclusive public service. In the absence of a coherent central state, the social contract of welfare develops at more local levels, generating smaller islands of citizenship from which to build future political communities. [ABSTRACT FROM AUTHOR]

Since its inception, the intricate mathematical formalism of quantum mechanics has empowered physicists to describe and predict specific physical events known as quantum processes. However, this success in probabilistic predictions has been accompanied by a profound challenge in the ontological interpretation of the theory. This interpretative complexity stems from two key aspects. Firstly, quantum mechanics is a fundamental theory that, so far, is not derivable from any more basic scientific theory. Secondly, it delves into a realm of invisible phenomena that often contradicts our intuitive and commonsensical notions of matter and causality. Despite its notorious difficulties of interpretation, the most widely accepted set of views of quantum phenomena has been known as the Copenhagen interpretation since the beginning of quantum mechanics. According to these views, the correct ontological interpretation of quantum mechanics is incompatible with ontological realism in general and with philosophical materialism in particular. Anti-realist and anti-materialist interpretations of quantum matter have survived until today. This paper discusses these perspectives, arguing that materialistic interpretations of quantum mechanics are compatible with its mathematical formalism, while anti-realist and anti-materialist views are based on wrong philosophical assumptions. However, although physicalism provides a better explanation for quantum phenomena than idealism, its downward reductionism prevents it from accounting for more complex forms of matter, such as biological or sociocultural systems. Thus, the paper argues that neither physicalism nor idealism can explain the universe. I propose then a non-reductionistic form of materialism called inclusive materialism. The conclusion is that the acknowledgment of the qualitative irreducibility of ontological emergent levels above the purely physical one does not deny philosophical materialism but enriches it. [ABSTRACT FROM AUTHOR]

The article discusses the potential impact of the 2024 Olympics and Paralympic Games in Paris on the risk of dengue outbreaks in the region. It highlights the rise in dengue cases globally in 2024 and the presence of Aedes albopictus mosquitoes capable of transmitting dengue, chikungunya, and Zika viruses in mainland France. The article emphasizes the importance of surveillance, vector-control measures, and healthcare provider awareness to prevent and manage potential dengue outbreaks during and after the Olympics. Additionally, it mentions the lack of antiviral treatment for dengue and the licensing of a live-attenuated tetravalent dengue vaccine for consideration in France. [Extracted from the article]

This article explores the perception of comic timing effects in prose fiction and the involvement of this effect in a reader's ability to recognise and appreciate humour. It suggests that the effect of comic timing, generally, results from perceived changes in pace rather than absolute timing. In a written text, a comic timing effect can be constructed linguistically through changes in perceived narrative urgency. In the passages analysed here, this change is from a state of impeded urgency, where textual features that encourage a sense of pace are combined with features that diminish this, to a state where the impediment to urgency is removed. This corresponds with and contributes to the reader's sense of emergence from the text world, a positional shift that encourages their sense of sharing humour with the author. [ABSTRACT FROM AUTHOR]

Evolution requires selection. Molecular/chemical/preDarwinian evolution is no exception. One molecule must be selected over another for molecular evolution to occur and advance. Evolution, however, has no goal. The laws of physics have no utilitarian desire, intent or proficiency. Laws and constraints are blind to "usefulness." How then were potential multi-step processes anticipated, valued and pursued by inanimate nature? Can orchestration of formal systems be physico-chemically spontaneous? The purely physico-dynamic self-ordering of Chaos Theory and irreversible non-equilibrium thermodynamic "engines of disequilibria conversion" achieve neither orchestration nor formal organization. Natural selection is a passive and after-the-fact-of-life selection. Darwinian selection reduces to the differential survival and reproduction of the fittest already-living organisms. In the case of abiogenesis, selection had to be 1) Active, 2) Pre-Function, and 3) Efficacious. Selection had to take place at the molecular level prior to the existence of non-trivial functional processes. It could not have been passive or secondary. What naturalistic mechanisms might have been at play? [ABSTRACT FROM AUTHOR]

The seedcorn maggot, Delia platura (Meigen), is a pest affecting many crops, including corn. The early spring emergence of adults and belowground seed damage by maggots leave no room for rescue treatments during the short growing season in New York State. Degree-day (DD) models play a crucial role in predicting insect emergence and adult peak activity and are essential for effective pest management. The current D. platura DD model was launched on the Network for Environment and Weather Applications (NEWA) in 2022, using existing scientific literature from other North American regions. The NEWA model predicted adult D. platura first emergence at an average of 471 (39°F) DD in 2022. To gain an accurate and precise understanding of D. platura adult spring emergence and activity, we used interpolated temperature data to calculate the DD for each specific location where adults were captured in the field. DD calculations were performed using the average method, setting a biofix on January 1st and a base temperature of 39°F. In 2023, overwintering adults emerged at an average of 68 DD, and in 2022, adult activity was registered at an average of 282 DD. Accurately predicting the emergence of D. platura could contribute to informing integrated pest management strategies that incorporate timing and cultural practices over chemical solutions to protect crops and the environment. [ABSTRACT FROM AUTHOR]

Background This study was designed to compare the effect of nalbuphine versus dexmedetomidine on the incidence of post-operative emergence agitation (EA) in pediatric patients undergoing elective lower abdominal surgical procedures during anesthesia with sevoflurane.Methods A prospective, controlled trial of 135 children aged 3–6 years scheduled for elective lower abdominal surgery was randomly assigned to one of the three equal groups receiving either nalbuphine 0.1 mg/kg IV (Group N), dexmedetomidine 0.5 mic/kg IV in (Group D) or a saline solution (Group C) at 10 min before the end of surgery in a double-blind manner. Post-operative EA was assessed with pediatric anesthesia emergence delirium (PAED) scale.Results The incidence of EA was significantly low in children in Group N and Group D compared to placebo group (p = 0.011) with no significant difference between Group N and Group D. The number of patients receiving nalbuphine and post-operative nalbuphine consumption during PACU stay were significantly higher in Group C than in Groups N and D (p = 0.024 and 0.001 respectively) with no significant differences between Group N and Group D. There was no significant difference regarding pain between the three groups at 5, 10, 20 and 30 min postoperatively. No significant difference among groups regarding the time to Aldrete score. The overall incidence of vomiting in our study was similar in the three groups.Conclusion Nalbuphine 0.1 mg/kg was comparable to dexmedetomidine 0.5 mic/kg for decreasing the incidence and severity of EA in the PACU in sevoflurane-anesthetized children when administered intravenously 10 min before the end of surgery.Trial registration This study was registered at ClinicalTrials.gov NCT05273671 (10/03/2022).

Foot-and-mouth disease Virus (FMDV) serotype Asia1 is prevalent in the Indian subcontinent, with only G-III and G-VIII reported in India until 2020. However, in 2019, a novel genetic group within serotype Asia1, designated as G-IX, emerged in Bangladesh, followed by its detection in India in 2020. This report presents analyses of the complete coding region sequences of the G-IX lineage isolates. The length of the open reading frame (ORF) of the two G-IX isolates was 6990 nucleotides without any deletion or insertion. The G-IX isolates showed the highest sequence similarity with an isolate of G-III at the ORF, L, P2, and P3 regions, and with an isolate of G-VIII at the P1 region. Phylogenetic analysis based on the capsid region (P1) supports the hypothesis that G-VIII and G-IX originated from a common ancestor, as speculated earlier. Further, VP1 region-based phylogenetic analyses revealed the re-emergence of G-VIII after a gap of 3 years. One isolate of G-VIII collected during 2023 revealed a codon insertion in the G-H loop of VP1. The vaccine matching studies support the suitability of the currently used Indian vaccine strain IND63/1972 to contain outbreaks due to viruses belonging to G-IX.

Abstract Background Artemisinin-based combination therapy (ACT) is currently recommended for treatment of uncomplicated malaria. However, the emergence and spread of partial artemisinin resistance threatens their effectiveness for malaria treatment in sub-Saharan Africa where the burden of malaria is highest. Early detection and reporting of validated molecular markers (pfk13 mutations) in Plasmodium falciparum is useful for tracking the emergence and spread of partial artemisinin resistance to inform containment efforts. Methods Genomic surveillance was conducted at 50 surveillance sites across four regions of Uganda in Karamoja, Lango, Acholi and West Nile from June 2021 to August 2023. Symptomatic malaria suspected patients were recruited and screened for presence of parasites. In addition, dried blood spots (DBS) were collected for parasite genomic analysis with PCR and sequencing. Out of 563 available dried blood spots (DBS), a random subset of 240 P. falciparum mono-infections, confirmed by a multiplex PCR were selected and used for detecting the pfk13 mutations by Sanger sequencing using Big Dye Terminator method. Regional variations in the proportions of pfk13 mutations were assessed using the chi square or Fisher’s exact tests while Kruskal–Wallis test was used to compare absolute parasite DNA levels between wild type and mutant parasites. Results Overall, 238/240 samples (99.2%) contained sufficient DNA and were successfully sequenced. Three mutations were identified within the sequenced samples; pfk13 C469Y in 32/238 (13.5%) samples, pfk13 A675V in 14/238 (5.9%) and pfk13 S522C in (1/238 (0.42%) samples across the four surveyed regions. The prevalence of pfk13 C469Y mutation was significantly higher in Karamoja region (23.3%) compared to other regions, P = 0.007. The majority of parasite isolates circulating in West Nile are of wild type (98.3), P = 0.002. Relative parasite DNA quantity did not differ in samples carrying the wild type, C469Y and A675V alleles (Kruskal–Wallis test, P = 0.6373). Conclusion Detection of validated molecular markers of artemisinin partial resistance in multiple geographical locations in this setting provides additional evidence of emerging threat of artemisinin partial resistance in Uganda. In view of these findings, periodic genomic surveillance is recommended to detect and monitor levels of pfk13 mutations in other regions in parallel with TES to assess potential implication on delayed parasite clearance and associated treatment failure in this setting. Future studies should consider identification of potential drivers of artemisinin partial resistance in the different malaria transmission settings in Uganda.

Rolling contact fatigue and wear failure are the most common forms of failure in heavy rail steel. However, the complicated relationship between fatigue and wear of heavy rail steel remains largely unexplored, with the failure mechanism yet to be fully understood. To investigate the damage and surface microstructure evolution in pearlite rails under rolling contact fatigue and wear interactive loads, a study was conducted on U76CrRE pearlite heavy rail steel, both rolled and heat-treated. The research utilized various methods, including rolling friction and wear testing, laser confocal microscopy, scanning electron microscopy, and electron backscatter diffraction, to measure and observe the wear rate, surface damage, deformation layers, and crack initiation and propagation in heavy rail steel with and without precast cracks. The study quantitatively analyzed the microstructural evolution and failure behaviors of pearlite rail under wear and fatigue interaction loads. The results show that the deformation layer in rolled heavy rail steel is larger than that in heat-treated specimens, especially when there are no precast cracks or the depth of such cracks is less than the wear layer. However, the wear rate and deformation layer in rolled rails were found to exceed those in heat-treated rails. The ferrite in pearlite near the deformation layer is refined and mixed with similarly refined cementite particles. Initially, ferrite grains exhibit mainly small-angle grain boundaries, but as the distance from the surface layer increases, the proportion of large-angle grain boundaries grows, leading to cracks characterized by larger angles, greater depths, and shorter lengths. Conversely, cracks in heat-treated rails are characterized by smaller angles, shallower depths, and longer lengths, with a more pronounced trend of crack propagation compared to rolled rails. When prefabricated crack depth exceeds the wear deformation layer, these cracks expedite wear mechanisms, encouraging the rapid generation and propagation of fatigue cracks and hastening fatigue failure. The cracks tend to demonstrate larger angles, deeper depths, and longer lengths, indicating that both rolling and heat-treated pearlite heavy rails are mainly subject to fatigue failure, with crack propagation being more evident in rolled rails than in heat-treated ones. Furthermore, when rails are matched with wheel steel of higher hardness, the crack angle, depth and length of rails become more pronounced than those with lower hardness. Moreover, the duration of the rail wear mechanism is prolonged.

Abstract Inequalities in physical activity are well documented, especially between socioeconomic groups. However, progress on reducing these inequalities is proving challenging. In this commentary, we argue that a complex system perspective is needed, specifically to reorient our thinking of inequalities in physical activity to be emergent features of complex systems. Operationalising this perspective involves acknowledging the multiple dynamic and non-linear interactions which take place between system parts and, over time aggregate to become macro patterns such as physical activity inequalities. We argue that this framing will enhance our understanding of the emergence of inequalities in physical activity and, therefore, provide interventions better suited to the subgroups of the population they are designed to help.

In recent years, a vast array of thinkers have been invested in challenging the long-standing binary division between the human and nonhuman. The notion of the human microbiome especially attests to the truth of such a complication, since current research in biology strongly suggests that we are at the very least as much microbe as we are human and that the number of microorganisms in the human body outnumber distinctly human cells considerably. In this article, we aim to bring the biological notion of the human microbiome in dialogue with Object-Oriented Ontology (OOO) so as to ultimately show that there can be a fruitful exchange of ideas between the two currents of microbiome research and OOO more specifically, and that Graham Harman’s top-down account of objective emergence can be fruitfully a bottom-up approach according to which the parts of an object also impact and constrain the whole.

ABSTRACT Background From the perspective of biology, the characteristics of life can be categorized as cellular organizations, homeostasis, metabolism, growth, reproduction and heredity, response to stimuli and adaptation to the environment. From the perspective of physics, living organisms are highly ordered, complex, thermodynamically open systems; they are in non‐equilibrium phase. According to the second law of thermodynamics, every system in the universe is going to the disorder spontaneously. Maximum entropy signifies a thermodynamic equilibrium which means the death. Today, cancer is a major global health problem and despite the explosive development of our knowledge about the carcinogenesis the “war on cancer” has not yet been won. Aims To examine life and cancer together based on current biophysical approach and to shed light on new paradigms. Materials & Methods A systematic literature search for publications on a thermodynamic approach to understand life and cancer was conducted in PubMed without language restrictions. The reference lists of identified studies were also used as additional knowledge. Results Living organisms exchange entropy and they gain information from the external environment. Information can be stored as memory. Life is a category of emergence like art composed from correct modules. On the contrary, cancer is the emergence of a disease formed by incorrect modules. Cancer is a chaotic disease at least for a limited period and cannot arise from healthy functional tissue units. Chaos of the lower level may be associated with the entropy increase of upper level. Conclusions Biologic chaos control is possible.

The emergence and zoonotic transmission of poxviruses in the Middle East have been recognized as complex public health issues. Poxviruses, a vast family of DNA viruses, can infect many hosts, including animals and humans. The Middle East has had multiple epidemics of poxvirus infections (e.g., Monkeypox, Smallpox, and Camelpox) that have raised concerns owing to their detrimental effects on livestock, wildlife, and sporadic human cases. This review aims to thoroughly examine the complexity of the epidemiological patterns, intricate genetic diversity, and several contributing factors that support the emergence and zoonotic transmission of poxviruses in the Middle East. Several aspects of poxviruses contribute to the emergence of endemics and zoonotic breakouts, such as the complex nature of human-animal interactions, environmental changes, and their subtle capacity for viral adaptability. This review was compiled in the hopes of contributing to the current understanding of poxvirus biology and its implications for human and animal health in the Middle East. We provide a comprehensive overview of the most common poxviruses in the Middle East, including their classification, structure, replication cycle, pathogenesis, route of transmissions, and of how the Middle East has developed ways to mitigate these biological threats.

Abstract Impact networks are formed to address complex social or environmental issues and are often needed to maximize human and financial resources, impact, and scale of individual organizations, including those serving students in Kindergarten through college (K-16). However, contrary to existing network models described by the literature, networks designed to address complex emergent socio-scientific issues such as climate change and biodiversity loss should themselves be emergent. This paper uses a critical analysis to outline our theory of change for one type of impact network—the emergent network—whose structure, function, and purpose are based on the emerging needs of its members and the needs of a changing world; and, whose members work across borders, disciplines, and generations to educate for a shared transformative future. We apply our theory to a case study called the Network for Emergent Socio-Scientific Thinking (NESST), which brings together people with a commitment to think differently about educating youth for the future outlined in the United Nations Sustainable Development Goals (SDGs). Together, through the lens of complexity theory and emergence, we reimagine the future of K-16 Science, Technology, Engineering, and Mathematics (STEM) Education for Sustainable Development (STEM4SD) and demonstrate what collaborative STEM education within the context of SDG 17 and SDG 4.7 can look like.

The article explores the field of neuromorphic engineering in wetware, which involves using chemical systems to mimic human intelligence. It discusses different approaches to developing artificial neural networks in wetware, such as using neural surrogates in reactors or implementing synthetic biology techniques. The article also emphasizes the interdisciplinary nature of this field and its potential to revolutionize artificial intelligence and robotics. The document is a list of references cited in a research article on chemical artificial intelligence and its applications in various fields. It highlights the importance of interdisciplinary collaboration and provides insights into the current state of research and future perspectives in these areas. [Extracted from the article]

The emergence and zoonotic transmission of poxviruses in the Middle East have been recognized as com- plex public health issues. Poxviruses, a vast family of DNA viruses, can infect many hosts, including animals and humans. The Middle East has had multiple epidemics of poxvirus infections (e.g., Monkeypox, Smallpox, and Camelpox) that have raised concerns owing to their detrimental effects on livestock, wild- life, and sporadic human cases. This review aims to thoroughly examine the complexity of the epidemiological patterns, intricate genetic diversity, and several contributing factors that support the emergence and zoonotic transmission of poxviruses in the Middle East. Several aspects of poxviruses contribute to the emergence of endemics and zoonotic breakouts, such as the complex nature of human-animal inter- actions, environmental changes, and their subtle capacity for viral adaptability. This review was compiled in the hopes of contributing to the current understanding of poxvirus biology and its implications for human and animal health in the Middle East. We provide a comprehensive overview of the most common poxviruses in the Middle East, including their classification, structure, replication cycle, pathogenesis, route of transmissions, and of how the Middle East has developed ways to mitigate these biological threats. [ABSTRACT FROM AUTHOR]

Inter-school networks have been promoted in many school systems globally to facilitate: knowledge generation and dissemination; responsiveness to increasingly diverse student and societal needs; and emotional and practical peer support for educational professionals. In understanding contemporary education as a 'wicked' problem, this paper explores case studies of inter-school networks in Aotearoa New Zealand (New Zealand) and England through the lens of complexity theory. We focus on how the conditions necessary for complex emergence identified by Davis and Sumara operate and how these conditions, along with their 'enabling constraints', facilitate the emergence of new perspectives and practices that enable the achievement of network objectives. This analysis indicates that where particular forms of leadership are in place, challenges – such as fragmentation, competition and the absence of social capital – can be overcome. We argue that network leaders need to balance and bridge three overlapping leadership approaches: operational leadership, entrepreneurial leadership and enabling leadership. We conclude by exploring the implications and insights for school, network and system leaders. [ABSTRACT FROM AUTHOR]

Aquatic insects serve as vital inter‐habitat linkages between aquatic and terrestrial ecosystems, as their life cycle includes both aquatic and terrestrial stages. They facilitate the flow of energy and nutrients and play an important role in the transport of waterborne contaminants to terrestrial environments. This study focused on the under‐investigated environmental fate of emerging contaminants (ECs), particularly pharmaceuticals (PhACs) and endocrine‐disrupting compounds (EDCs), which originate from wastewater effluents and accumulate in aquatic insects.Using an in situ study of a highly abundant caddisfly species (Trichoptera), Silo nigricornis (Pictet, 1834), inhabiting a wastewater‐impacted drainage ditch, we examined the bioaccumulation and bioamplification of PhACs and EDCs across the aquatic and terrestrial life stages of the caddisfly.We observed variations in the highest concentrations of PhACs and EDCs in different sample types, including water, biofilm and different life stages of S. nigricornis. Adult S. nigricornis exhibited the highest total concentrations of ECs among the different life stages, with 17 different ECs bioaccumulated in caddisfly tissues. Most of these ECs had higher concentrations in terrestrial adults compared to aquatic larvae and pupae. The total concentration of ECs increased significantly with development, revealing a 41% higher concentration in adult terrestrial caddisflies compared to pupae and larvae.Bioamplification factors provided insights into the increased body burden of the majority of compounds during at least one stage of metamorphosis in S. nigricornis. Evidence of bioamplification was observed in both metamorphosis stages, with certain compounds, such as antibiotics (azithromycin and tilmicosin), endocrine disruptors (TCPP – tris[1‐chloro‐2‐propyl]phosphate and parabens; methylparaben, propylparaben), consistently exhibiting increased concentrations from larval to pupal and from pupal to adult stages. The observed pattern of increasing body burden of contaminants during the caddisfly life cycle emphasises the effects of metamorphosis on the concentration of PhACs and EDCs in adult holometabolous aquatic insects.Our results emphasise the importance of adult caddisflies for the transport of waterborne contaminants such as PhACs and EDCs from aquatic to terrestrial environments. Therefore, our results emphasise the need to include adult trichopterans in the assessment of habitat quality, as their influence extends beyond the boundaries of the aquatic ecosystem. [ABSTRACT FROM AUTHOR]

Despite interest in preindustrial markets, archaeological discussions have largely been limited to proposing methods to determine the presence or absence of market exchange in ancient societies. While these contributions are important, methodological limitations have prevented theoretical considerations of the emergence and evolution of marketplaces and market exchange in prehistory. We propose that agent-based modeling provides a window to explore physical conditions and agent behaviors that facilitate the emergence of customary exchange locations and how such locations may evolve into socially embedded institutions. The model we designed suggests that simple bartering rules among agents can generate concentrated locations of exchange and that spatial heterogeneity of resources is the most important factor in facilitating the emergence of such locales. Furthermore, partner-search behaviors and exchange of information play a key role in the institutionalization of the marketplace. The results of our simulation suggest that marketplaces can develop, even with the absence of formalized currency or central planning, as a consequence of collective strategies taken up by agents to reduce exchange partner-search costs and make transactions more frequent and predictable. The model also suggests that, once established as a social institution, marketplaces may become highly conservative and resistant to change. As such, it is inferred that bottom-up and/or top-down interventions may have often been required to establish new marketplaces or relocate marketplaces to incorporate new resources, resolve supply–demand imbalances, or minimize rising economic costs that arise as a result of social, political, and economic change. [ABSTRACT FROM AUTHOR]

The complexity of an innovation system, how it works and how to achieve high performance, represents a significant management challenge. As in any complex system, in an innovation system it is mandatory to operate with a clear idea of the various key elements and relationships in the system, what constitutes the emerging properties of the system and to identify effective channels to influence the performance of such a system. Bearing this in mind, we adopt a systemism approach, applying the principles of Mario Bunge's CESM metamodel. We suggest a new generic model that can be adapted to fit many different aspects of real-life innovation decision making. An important objective for this generic model is to combine all critical internal and external systemic factors, i.e., to depict all critical nodes and interaction processes between subsystems (internal factors) and all critical nodes and interactions processes with the broader innovation ecosystem (external factors). Another key objective was to establish a model suitable for communication and decision making that is compatible with the key terms and the definitions in the new ISO 56000 standard on innovation management. The paper defines the main elements of a generic innovation model and exemplifies the potential usefulness of the model by showcasing three distinct applications. We hope that our new systemism model could be an additional tool for better strategic management with respect to emerging properties of knowledge dynamics, risk assessment and mitigation, and the monitoring and continuous improvement of critical innovation processes. [ABSTRACT FROM AUTHOR]

There is still a fundamental gap in our knowledge regarding the dormant egg bank in the littoral zone, as much of the existing information stems from studies conducted in the pelagic zone. We investigated cladoceran egg banks attached to macrophyte roots (Eichhornia azurea) and the soil surface collected from the littoral site of four Brazilian lakes. We test the hypothesis that sediment supports egg bank communities that are taxonomically distinct from those in macrophyte roots. We took replicate samples from paired examples of each egg bank and later incubated the diapausing eggs in a hatching experiment. Another aspect of our study involved classifying the egg bank community based on the traditional separation of cladocerans according to their microhabitat (pelagic vs. phytophilous). Results from the study indicated that the number of individuals and taxon richness was higher in the sediment egg banks than in those from the macrophyte roots in two of the lakes studied. The proportions of pelagic and phytophilous hatched varied between sediment and macrophyte roots egg banks within each lake studied. These findings partially supported our hypothesis that sediment contains taxonomically distinct egg bank communities compared to those in macrophyte roots. Our results suggest that the littoral zone, particularly the sediment habitat, may serve as a substrate for a persistent dormant egg bank of some pelagic cladocerans. Further comparative research among different macrophyte species and littoral sediments can help to gain more insights into cladoceran ecology and restoration programs for lakes experiencing environmental impacts. [ABSTRACT FROM AUTHOR]

The flexibility, adaptability, and resilience of even simple brains are unmatched by any current technology. Recent unexpected difficulties in realising truly autonomous vehicles, making reliable medical diagnoses, detecting offensive online content and even just recognising faces, show that brains remain significantly functionally more capable than we can currently emulate. Fittingly, in recent years we have made significant progress identifying computational principles that underlie neural function. We are beginning to dispense with the overly simplistic stimulus-driven encode/transmit/decode doctrine. Instead we must embrace the brain's inherent dynamic complexity and emergent properties and explain how plasticity moulds the dynamics to capture useful couplings across brain regions and between the brain, the body, and the world. While certainly not complete, we have sufficient evidence that a synthesis of these ideas could result in a deeper understanding of neural computation and which could potentially be used to construct new AI technologies with unique capabilities. I discuss the relevant neuroscientific principles, the advantages they have for computation, and how they can benefit AI. Limitations of current AI are now generally recognised. I postulate that we understand enough about the brain to immediately offer novel AI formulations. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) has recently seen explosive growth and remarkable successes in several application areas. However, it is becoming clear that the methods that have made this possible are subject to several limitations that might inhibit progress towards replicating the more general intelligence seen in humans and other animals. In contrast to current AI methods that focus on specific tasks and rely on large amounts of offline data and extensive, slow, and mostly supervised learning, this natural intelligence is quick, versatile, agile, and open-ended. This position paper brings together ideas from neuroscience, evolutionary and developmental biology, and complex systems to analyze why such natural intelligence is possible in animals and suggests that AI should exploit the same strategies to move in a different direction. In particular, it argues that integrated embodiment, modularity, synergy, developmental learning, and evolution are key enablers of natural intelligence and should be at the core of AI systems as well. The analysis in the paper leads to the description of a biologically grounded deep intelligence (DI) framework for understanding natural intelligence and developing a new approach to building more versatile, autonomous, and integrated AI. The paper concludes that the dominant paradigm of AI today is unlikely to lead to truly natural general intelligence and that something like the biologically inspired DI framework is needed for that. [ABSTRACT FROM AUTHOR]