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• Network science provides a toolset to study the structural design of living systems. • Interactions between cells and organs can be described with the network formalism. • Advances in imaging techniques enable us to assess morphology of biological systems. • Progress in tissue engineering advances the need for structural connectivity analysis. Technological advances in imaging techniques and biometric data acquisition have enabled us to apply methods of network science to study the morphology and structural design of organelles, organs, and tissues, as well as the coordinated interactions among them that yield a healthy physiology at the level of whole organisms. We here review research dedicated to these advances, in particular focusing on networks between cells, the topology of multicellular structures, neural interactions, fluid transportation networks, and anatomical networks. The percolation of blood vessels, structural connectivity within the brain, the porous structure of bones, and relations between different anatomical parts of the human body are just some of the examples that we explore in detail. We argue and show that the models, methods, and algorithms developed in the realm of network science are ushering in a new era of network-based inquiry into the morphology and structural design of living systems in the broadest possible terms. We also emphasize that the need and applicability of this research is likely to increase significantly in the years to come due to the rapid progress made in the development of bioartificial substitutes and tissue engineering. [ABSTRACT FROM AUTHOR]

The central aim of this Special Issue, devoted to a multifocal study of the geometry and phenomenology of the living, is to show the need of working with models that integrate geometrical and topological objects and operations, dynamical variables and specific biological mechanisms and their relationships with one another. A multilevel and integrative approach has essentially to consider the fact that simply knowing the parts list of genes and proteins does not tell us much about how life's many biological processes works. The cellular organization is a complex dynamical system with hundreds of thousands of bio-molecules interacting with one another to execute organism's many related functions. It is argued that the production of complex living organisms owes much of its working to some topological mechanisms (i.e. four-dimensional transformations and deformations) which operate markedly on the three levels of the organization, regulation and evolution of biological systems. Thus, one can speak of a specific topology of the living acting very dynamically on the (non-fixed) substrate space of the physiological and metabolic activities of all complex living organisms. Philosophically, it is now clear that the genetic causality theory has several limitations, both intrinsic because of the multilevel complexity of biological processes, and extrinsic in that it disregards the influence of the phenotype on the genotype and in particular the possibility that certain acquired characteristics can be inherited. In a sense, we can say that the molecular biological conception of recent decades has limited or even misleadingly impacted our vision of the living world. New ideas are needed if we are to succeed in unravelling multifactorial genetic, epigenetic and environmental causation at higher levels of physiological function and so to explain fundamental living phenomena that genetics alone is unable to explain. Some of the most significant conclusions proposed in this issue are that (i) structural plasticity and biological functionality are deeply related, (ii) the biological information and signification is inherently spatial and temporal, it is not unidirectional, and it essentially evolve following a complex and changing network-like organization, (iii) finally, gene ontology is incomplete and it as to be supplied by integrating other fundamental levels of the organization and regulation of the living systems. [ABSTRACT FROM AUTHOR]

This paper focuses on the multiscale modeling of the COVID-19 pandemic and presents further developments of the model [ 7 ] with the aim of showing how relaxations of the confinement rules can generate sequential waves. Subsequently, the dynamics of mutations into new variants can be modeled. Simulations are developed also to support the decision making of crisis managers. [ABSTRACT FROM AUTHOR]

Ervin Bauer was Hungarian and Soviet scientist, who had a short, but bright and talented life. In 1935, working at the Institute of Experimental Medicine in the USSR, he published the book «Theoretical Biology», in which he proposed an idea of a special "non-equilibrium" state of living systems and the existence of internal machineries in the organism that work against thermodynamic equilibrium and increase the organism's capacity for work. Currently, this idea is called "the principle of sustainable non-equilibrium" or "Bauer's principle". During the repressions of the 1930s in the USSR, Bauer was executed, the book « Theoretical Biology» was banned. Currently, his works are poorly known, especially outside the post-socialist region. We believe that his ideas could help in rethinking not only the biochemistry and bioenergetics of cells and tissues of living organisms, but also biogeochemical and civilizational processes on a planetary scale. [ABSTRACT FROM AUTHOR]

In the wake of the COVID-19 pandemic, 'regenerative tourism' has emerged as a promising alternative to the unsustainable growth paradigm underpinning traditional tourism practices. While this topic is increasingly explored in conceptual terms, what this approach means conceptually and in practice for a range of destination management stakeholders remains unclear. The present study analysed the meanings, conceptualisations and practices associated with regenerative tourism for destination planners in Aotearoa New Zealand. Eighteen interviews were conducted with a diverse range of destination planners at regional and national levels. The findings indicate that regenerative tourism involves improving places, which comprises giving back to communities economically, socially and culturally, and enhancing local environments; as well as fostering a connection with place for both visitors and local residents, and focusing on how tourism can improve quality of life (human and nonhuman) for future generations. Other prominent themes include the holistic and interconnected nature of regenerative tourism practices; and the importance of shifting mindsets and tourism practices from mechanistic and siloed, to those aligned with living systems approaches. Another key finding was destination planners' ambivalence towards the regenerative tourism concept, which ranged from a sense of uncertainty and vagueness about this approach to strong sentiments of resistance. Further studies, particularly those that integrate indigenous worldviews, are needed to consolidate our understanding of regenerative tourism approaches in practice. • Discusses how destination planners in Aotearoa New Zealand conceptualise regenerative tourism. • Regenerative tourism viewed as improvement, not maintenance, of people and places. • Lack of clarity elicits uncertainty and resistance to 'regenerative tourism' for destination planners. • Indigenous worldviews and values should be integrated into regenerative tourism conceptualisations. [ABSTRACT FROM AUTHOR]

This account explores the experience of an action inquiry approach to develop a coaching culture within a public service organisation. We position action inquiry as a fresh interpretation of action learning that draws on a variety of roots and traditions and focuses on the nurturing of the collective capacity to lead through everyday interactions. Working with an initial core group of staff, we expanded our reach through an iterative process to intentionally bring more people into the work. We show how we adapted our original plans to respond to the COVID pandemic, the use of stories to propel inquiry and playback insights into the inquiry process, how we deepened inquiry in some settings and how ultimately being online was an opportunity to connect people across a system that we had not anticipated. We share insights into the commissioning process and of the importance of internal sponsorship. It concludes with a striking, participant-led call to approach scaling differently by supporting the co-creation of local implementation strategies and sponsor confidence in the case to use this approach in more circumstances, where participants in action inquiry explore, rather than assume, what the organisation and its staff need. [ABSTRACT FROM AUTHOR]

Laser bioprinting is a promising method for biotechnology and medicine. This letter presents an experimental study of metal nanoparticles formed through the destruction of the absorbing Au or Ti films of the donor slide. It is shown that nanosecond laser action leads to the destruction of the film and the removal of its material with the formation of a hole with melted edges. A sharp increase in temperature above the melting point of the metal in the region of the hole leads to the destruction of the material with the formation of submicron nanoparticles. As a consequence, in the case of a gold film, nanoparticles formed due to material destruction are predominantly spherical. In using a titanium film, rectangular nanoparticles equal to the initial film thickness are formed. [ABSTRACT FROM AUTHOR]

The first part of our paper presents a general survey on the modeling, analytic problems, and applications of the dynamics of human crowds, where the specific features of living systems are taken into account in the modeling approach. This critical analysis leads to the second part which is devoted to research perspectives on modeling, analytic problems, multiscale topics which are followed by hints towards possible achievements. Perspectives include the modeling of social dynamics, multiscale problems and a detailed study of the link between crowds and swarms modeling. [ABSTRACT FROM AUTHOR]

Can Life be explained based on the fundamental Laws of Nature? This question is central in Science since its answer could unify Physics and Biology and open new routes for Medicine. The present study introduces a clear and well-documented hypothesis addressing the unified description of all living systems. The proposed universal model is based on two established characteristics of Life. First, the concept of Functional Self-similarity (FSS) is introduced. As shown by several authors, all living systems can be classified in a multi-level hierarchy of increasing complexity. Systems in all hierarchical levels are characterized by a small set of the same attributes defining Life. This observation implies the existence of an elementary living system (i.e., a quantum of Life) having all the necessary functionalities of living systems. Secondly, the non-equilibrium nature of living systems implies that they should be able to process information since such a function is required for reducing entropy. Therefore, all living systems necessarily perform logical operations similar to electronic circuits. This conclusion, which is based on the requirement to overcome the constraints of the Second Law of Thermodynamics, indicates a close correspondence between living systems and information processing machines, namely computers. Consequently, important theoretical principles and concepts regarding computer design may also apply in the study of living systems. The above considerations lead to the Hypothesis of a Universal Architecture (UAH).

The paper theoretically explores the limitations of the statistical method. Specifically, we point to the inapplicability of statistics in the studies on living systems. Western interdisciplinary sciences, natural sciences and humanities, often analyze data and develop the lines of argumentation as endorsed by the statistical analysis. In the present study, we select several theoretical, applicational problems which question this methodological in the studies on living systems. Paradigmatic/philosophical considerations, the improbability principle, or the correlation between the variables in the research are among the themes we focus on in our paper. The underlying idea is that life processes and the living world operate in a reality which is both linear and nonlinear, local and nonlocal. Hence, the methodology of research into these living realms needs to bypass the computational approaches and algorithmic modelling. We argue that statistics (as a branch of mathematics) cannot be decisive as regards research and applicational programs on living systems. [ABSTRACT FROM AUTHOR]

Processes produce changes: rivers erode their banks and thunderstorms cause floods. If I am right that organisms are a kind of process, then the causally efficacious behaviours of organisms are also examples of processes producing change. In this paper I shall try to articulate a view of how we should think of causation within a broadly processual ontology of the living world. Specifically, I shall argue that causation, at least in a central class of cases, is the interaction of processes, that such causation is the exercise of a capacity inherent in that process and, negatively, that causation should not be understood as the instantiation of universal laws. The approach I describe has substantial similarities with the process causality articulated by Wesley Salmon and Phil Dowe for physical causation, making it plausible that the basic approach can be applied equally to the non-living world. It is an approach that builds at crucial points on the criticisms of determinism and universal causality famously articulated by Elizabeth Anscombe. [ABSTRACT FROM AUTHOR]

Can Life be explained based on the fundamental Laws of Nature? This question is central in Science since its answer could unify Physics and Biology and open new routes for Medicine. The present study introduces a clear and well-documented hypothesis addressing the unified description of all living systems. The proposed universal model is based on two established characteristics of Life. First, the concept of Functional Self-similarity (FSS) is introduced. As shown by several authors, all living systems can be classified in a multi-level hierarchy of increasing complexity. Systems in all hierarchical levels are characterized by a small set of the same attributes defining Life. This observation implies the existence of an elementary living system (i.e., a quantum of Life) having all the necessary functionalities of living systems. Secondly, the non-equilibrium nature of living systems implies that they should be able to process information since such a function is required for reducing entropy. Therefore, all living systems necessarily perform logical operations similar to electronic circuits. This conclusion, which is based on the requirement to overcome the constraints of the Second Law of Thermodynamics, indicates a close correspondence between living systems and information processing machines, namely computers. Consequently, important theoretical principles and concepts regarding computer design may also apply in the study of living systems. The above considerations lead to the Hypothesis of a Universal Architecture (UAH). [ABSTRACT FROM AUTHOR]

This paper presents a survey of advanced concepts and research perspectives, of a philosophical-mathematical approach to describe the dynamics of systems of many interacting living entities. The first part introduces the general conceptual framework. Then, a critical analysis of the existing literature is developed and referred to a multiscale view of a mathematics of living organisms. This paper attempts to understand how far the present state-of-the-art is far from the achievement of such challenging objective. The overall study leads to identify research perspectives and possible hints to deal with them.

Since its discovery by Harold Urey in 1932, deuterium has attracted increased amounts of attention from the scientific community, with many previous works aimed to uncover its biological effects on living organisms. Existing studies indicate that deuterium, as a relatively rare isotope, is indispensable for maintaining normal cellular function, while its enrichment and depletion can affect living systems at multiple levels, including but not limited to molecules, organelles, cells, organs, and organisms. As an important compound of deuterium, deuterium-depleted water (DDW) possess various special effects, including but not limited to altering cellular metabolism and potentially inhibiting the growth of cancer cells, demonstrating anxiolytic-like behavior, enhancing long-term memory in rats, reducing free radical oxidation, regulating lipid metabolism, harmonizing indices related to diabetes and metabolic syndrome, and alleviating toxic effects caused by cadmium, manganese, and other harmful substances, implying its tremendous potential in anticancer, neuroprotective, antiaging, antioxidant, obesity alleviation, diabetes and metabolic syndrome treatment, anti-inflammatory, and detoxification, thereby drawing extensive attention from researchers. This review comprehensively summarizes the latest progress in deuterium acting on living organisms. We start by providing a snapshot of the distribution of deuterium in nature and the tolerance of various organisms to it. Then, we discussed the impact of deuterium excess and deprivation, in the form of deuterium-enriched water (DEW) and deuterium-depleted water (DDW), on living organisms at different levels. Finally, we focused on the potential of DDW as an adjuvant therapeutic agent for various diseases and disorders., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Qu, Xu, Zhao, Xiong, Jing, Lui, Huang and Shi.)

Living systems are complex dynamic information processing energy consuming entities with properties of consciousness, intelligence, sapience, and sentience. Sapience and sentience are autonomous attributes of consciousness. While sapience has been well studied over the years, that of sentience is relatively rare. The nature of sapience and sentience will be considered, and a metacybernetic framework using structural information will be adopted to explore the metaphysics of consciousness. Metacybernetics delivers a cyberintrinsic model that is cybernetic in nature, but also uses the theory of structural information arising from Frieden’s work with Fisher information. This will be used to model sapience and sentience and their relationship. Since living systems are energy-consuming entities, it is also natural for thermodynamic metaphysical models to arise, and most of the theoretical studies of sentience have been set within a thermodynamic framework. Hence, a thermodynamic approach will also be introduced and connected to cyberintrinsic theory. In metaphysical contexts, thermodynamics uses free-energy, which plays the same role in cyberintrinsic modelling as intrinsic structural information. Since living systems exist at the dynamical interface of information and thermodynamics, the overall purpose of this paper is to explore sentience from the alternative cyberintrinsic perspective of metacybernetics.

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Interactive movements of bees facilitate the division and organization of collective tasks, notably when they need to face internal or external environmental challenges. Here, we present a Bayesian and computational approach to track the movement of several honey bee, Apis mellifera, workers at colony level. We applied algorithms that combined tracking and Kernel Density Estimation (KDE), allowing measurements of entropy and Probability Distribution Function (PDF) of the motion of tracked organisms. We placed approximately 200 recently emerged and labeled bees inside an experimental colony, which consists of a mated queen, approximately 1000 bees, and a naturally occurring beehive background. Before release, labeled bees were fed for one hour with uncontaminated diets or diets containing a commercial mixture of synthetic fungicides (thiophanate-methyl and chlorothalonil). The colonies were filmed (12 min) at the 1st hour, 5th and 10th days after the bees’ release. Our results revealed that the algorithm tracked the labeled bees with great accuracy. Pesticide-contaminated colonies showed anticipated collective activities in peripheral hive areas, far from the brood area, and exhibited reduced swarm entropy and energy values when compared to uncontaminated colonies. Collectively, our approach opens novel possibilities to quantify and predict potential alterations mediated by pollutants (e.g., pesticides) at the bee colony-level.

Abstract Light‐based technique, including optical imaging and photoregulation, has become one of the most important tools for both fundamental research and clinical practice, such as cell signal sensing, cancer diagnosis, tissue engineering, drug delivery, visual regulation, neuromodulation, and disease treatment. In particular, low energy near‐infrared (NIR, 700–1700 nm) light possesses lower phototoxicity and higher tissue penetration depth in living systems as compared with ultraviolet/visible light, making it a promising tool for in vivo applications. Currently, the NIR light‐based imaging and photoregulation strategies have offered a possibility to real‐time sense and/or modulate specific cellular events in deep tissues with subcellular accuracy. Herein, the recent progress with respect to NIR light for monitoring and modulating the spatiotemporal dynamics of cell functions in living systems are summarized. In particular, the applications of NIR light‐based techniques in cancer theranostics, regenerative medicine, and neuroscience research are systematically introduced and discussed. In addition, the challenges and prospects for NIR light‐based cell sensing and regulating techniques are comprehensively discussed.

The paper proposes an alternative cyclical economy based on eco‐villages supporting urban hubs to regenerate rural–urban balance based on public education to support eco‐facturing, to use Gunter Pauli's concept. The paper sketches an alternative cyclical economy based on eco‐villages supporting urban hubs to regenerate rural–urban balance based on eco‐facturing. Australia lost over 40 million acres of habitat and at least a billion creatures during the 2019–2020 bushfire season. Africa and Asia are also rapidly urbanizing and rapidly losing habitat. The paper outlines the way in which we could live differently by understanding that production, consumption and regeneration need to follow a natural ecological approach, rather than the current approach to extracting profit at the expense of future generations. Production and regeneration need to be conducted in ways that do not exploit people and the environment. Exchange practices need to ensure that the interests of the few are not expended at the expense of the many. [ABSTRACT FROM AUTHOR]

In order to support accelerating the diffusion of innovations in high value manufacturing related to enabling flexible mass customization, this paper presents a research-based maturity model for forecasting the speed of innovation diffusion from ideation to market saturation. The model provides an early stage applied research view of (groups of) "game changing" variables, which accelerate diffusion of innovations to significantly reduce financial uncertainty and minimize the time to derive value from the original idea. The model is applied to multiple case studies related to the repurposing and customization of existing mass manufacturing infrastructures and processes to meet novel requirements. Case studies include among others a reference model based on a literature review, the diffusion of 3-D printing technology in manufacturing, the diffusion of novel cement manufacturing technology and the manufacturing of intensive care ventilators during the Covid-19 pandemic. The diffusion of innovation model applied is based on diffusion of innovation principles founded in the research of Everett Rodgers, the Bass Diffusion Curve and aligned to recent advances in living (eco-) systems theory. Special emphasis is placed on determining not only the relevance of "known-known" success factors for rapid innovation diffusion, but also on identifying "unknown-unknown" game changers enabling the required changes at pace. Key findings are that "game changing" factors for the innovations are primarily the interdependent availability of budget and resources to achieve market saturation, urgency of need shared by all participants, observability of impact (value creation) and compatibility with existing ways of work. Critical as well is population of all diffusion web roles with unique individuals. Further research is suggested regarding the dependency of assessed variable (groups) and the integration of Technical Readiness Level phases into the forecasting model. [ABSTRACT FROM AUTHOR]

Studying the behavior of solutions to the Cauchy problem for a family of nonlinear functional differential equations with delay which arise in the living system models, we establish the conditions that provide some exponential decay estimates for components of solutions. We find the parameters of simultaneous exponential estimates as solutions to nonlinear inequalities built from the majorants of the mappings on the right-hand sides of the differential equations. We present the results of constructing the exponential estimates for the variables in an epidemic dynamics model. [ABSTRACT FROM AUTHOR]

This paper is devoted to the multidisciplinary modelling of a pandemic initiated by an aggressive virus, specifically the so-called SARS–CoV– 2 Severe Acute Respiratory Syndrome, corona virus n. 2. The study is developed within a multiscale framework accounting for the interaction of different spatial scales, from the small scale of the virus itself and cells, to the large scale of individuals and further up to the collective behaviour of populations. An interdisciplinary vision is developed thanks to the contributions of epidemiologists, immunologists and economists as well as those of mathematical modellers. The first part of the contents is devoted to understanding the complex features of the system and to the design of a modelling rationale. The modelling approach is treated in the second part of the paper by showing both how the virus propagates into infected individuals, successfully and not successfully recovered, and also the spatial patterns, which are subsequently studied by kinetic and lattice models. The third part reports the contribution of research in the fields of virology, epidemiology, immune competition, and economy focussed also on social behaviours. Finally, a critical analysis is proposed looking ahead to research perspectives. [ABSTRACT FROM AUTHOR]

Light‐based technique, including optical imaging and photoregulation, has become one of the most important tools for both fundamental research and clinical practice, such as cell signal sensing, cancer diagnosis, tissue engineering, drug delivery, visual regulation, neuromodulation, and disease treatment. In particular, low energy near‐infrared (NIR, 700–1700 nm) light possesses lower phototoxicity and higher tissue penetration depth in living systems as compared with ultraviolet/visible light, making it a promising tool for in vivo applications. Currently, the NIR light‐based imaging and photoregulation strategies have offered a possibility to real‐time sense and/or modulate specific cellular events in deep tissues with subcellular accuracy. Herein, the recent progress with respect to NIR light for monitoring and modulating the spatiotemporal dynamics of cell functions in living systems are summarized. In particular, the applications of NIR light‐based techniques in cancer theranostics, regenerative medicine, and neuroscience research are systematically introduced and discussed. In addition, the challenges and prospects for NIR light‐based cell sensing and regulating techniques are comprehensively discussed. [ABSTRACT FROM AUTHOR]

This paper presents a unified mathematical theory of swarms where the dynamics of social behaviors interacts with the mechanical dynamics of self-propelled particles. The term behavioral swarms is introduced to characterize the specific object of the theory which is subsequently followed by applications. As concrete examples for our unified approach, we show that several Cucker-Smale type models with internal variables fall down to our framework. The second part of the paper shows how the modeling can be developed, beyond the Cucker-Smale approach. This will be illustrated with the aid of numerical simulations in swarms whose movement strategy is sensitive to individual social behaviors. Finally, the presentation looks ahead to research perspectives. [ABSTRACT FROM AUTHOR]

This paper proposes a multiscale vision to human crowds which provides a consistent description at the three possible modeling scales, namely, microscopic, mesoscopic, and macroscopic. The proposed approach moves from interactions at the microscopic scale and shows how the same modeling principles lead to kinetic and hydrodynamic models. Hence, a unified framework is developed which permits to derive models at each scale using the same principles and similar parameters. This approach can be used to simulate crowd dynamics in complex environments composed of interconnected areas, where the most appropriate scale of description can be selected for each area. This offers a pathway to the development of a multiscale computational model which has the capability to optimize the granularity of the description depending on the pedestrian local flow conditions. An important feature of the modeling at each scale is that the complex interaction between emotional states of walkers and their motion is taken into account. [ABSTRACT FROM AUTHOR]

Non-linear Kuramoto model has been used to study synchronised or sync behaviour in numerous fields; however, its application in biology is scarce. Here, the basic model has been introduced and examples where large-scale small-world or scale-free networks are crucial for spontaneous sync have been provide even for low coupling strength. This information was next checked for relevance in living systems where it is now well known that biological networks are scale-free. A recent transcriptome-wide data analysis of a Saccharomyces cerevisiae biofilm showed that low- to middle-expressed genes are key for scale invariance in biology. Together, the current data indicate that a biological network connectivity structure with low coupling strength, or expression levels, is sufficient for sync behaviour. For biofilm regulation, it may, therefore, be necessary to investigate large-scale low-expression genes rather than small-scale high-expression genes.

Biological neuronal networks are highly adaptive and plastic. For instance, spike-timing-dependent plasticity (STDP) is a core mechanism which adapts the synaptic strengths based on the relative timing of pre- and postsynaptic spikes. In various fields of physiology, time delays cause a plethora of biologically relevant dynamical phenomena. However, time delays increase the complexity of model systems together with the computational and theoretical analysis burden. Accordingly, in computational neuronal network studies propagation delays were often neglected. As a downside, a classic STDP rule in oscillatory neurons without propagation delays is unable to give rise to bidirectional synaptic couplings, i.e., loops or uncoupled states. This is at variance with basic experimental results. In this mini review, we focus on recent theoretical studies focusing on how things change in the presence of propagation delays. Realistic propagation delays may lead to the emergence of neuronal activity and synaptic connectivity patterns, which cannot be captured by classic STDP models. In fact, propagation delays determine the inventory of attractor states and shape their basins of attractions. The results reviewed here enable to overcome fundamental discrepancies between theory and experiments. Furthermore, these findings are relevant for the development of therapeutic brain stimulation techniques aiming at shifting the diseased brain to more favorable attractor states.

This theoretical article provides a brief description of the model of living systems’ functioning by defining them as self-reproducing information or as self-reproduction of resource flows patterns. It reviews the living systems growth limitation between their development cycles by the Fibonacci sequence. Besides, there are presented systems resource base criteria, necessary for accumulating the resources and their investment. The article also considers the conditions for the formation of various systems strategies. Then we reviewed the principles of elemental analysis of information by a person as a living system according to the considered model. The study also shows the possibility of forming priorities in analyzing information for 16 combinations as maximum. At that, it remains crucial to divide a human’s information analysis between the two hemispheres of the brain. The described combinations of priorities in a person’s information analysis are compared with the existing differential personality models, such as the big five personality traits, the Myers–Briggs type indicator, temperaments model and Honey and Mumford Learning styles.

The external worlds do not objectively exist for living systems because these worlds are unknown from within systems. How can they escape solipsism to survive and reproduce as open systems? Living systems must construct their hypothetical models of external entities in the form of their internal structures to determine how to change states (i.e., sense and act) appropriately to achieve a favorable probability distribution of the events they experience. The model construction involves the generation of symbols referring to external entities. This paper attempts to provide a new view that living systems are an inverse-causality operator. Inverse causality (IC) is an algorithmic process that generates symbols referring to external reality states based on a given data sequence. For applying this logical model involving if–then entailments to living systems involving material interactions, the cognizers-system model was employed to represent the IC process; here, living systems were modeled as a subject of cognition and action. A focal subject system is described as a cognizer composed of sub-cognizers, such as a sensor, a signal transducer, and an effector. Analysis using this model proposes that living systems invented the “measurers” for conducting IC operations through their evolution.

Community indicators have been of special interest to scholars worldwide, because of their vital role in community development. Nevertheless, the best way to identify indicators is still unclear, especially for rural communities in developing countries where the complexity of rural systems give rise to special challenges. Following conceptual and empirical stages of the development of a systemic framework for identifying indicators for rural community in developing countries, our participatory action research moves to critical reflection, undertaken with the participants in the original fieldwork. This paper discusses findings from that reflection, in workshops and in-depth interviews, considered, also, in the context of our experiences in the previous stages of research. It finds that the positive impact of the framework was reflected in increases to the communities' human and social capital, although several weaknesses in the framework implementation were also revealed. This paper introduces reflection-based improvement to the framework and also discusses a set of principles as a foundation for implementing the framework in rural settings in developing economies. [ABSTRACT FROM AUTHOR]

Biological neuronal networks are highly adaptive and plastic. For instance, spike-timing-dependent plasticity (STDP) is a core mechanism which adapts the synaptic strengths based on the relative timing of pre- and postsynaptic spikes. In various fields of physiology, time delays cause a plethora of biologically relevant dynamical phenomena. However, time delays increase the complexity of model systems together with the computational and theoretical analysis burden. Accordingly, in computational neuronal network studies propagation delays were often neglected. As a downside, a classic STDP rule in oscillatory neurons without propagation delays is unable to give rise to bidirectional synaptic couplings, i.e., loops or uncoupled states. This is at variance with basic experimental results. In this mini review, we focus on recent theoretical studies focusing on how things change in the presence of propagation delays. Realistic propagation delays may lead to the emergence of neuronal activity and synaptic connectivity patterns, which cannot be captured by classic STDP models. In fact, propagation delays determine the inventory of attractor states and shape their basins of attractions. The results reviewed here enable to overcome fundamental discrepancies between theory and experiments. Furthermore, these findings are relevant for the development of therapeutic brain stimulation techniques aiming at shifting the diseased brain to more favorable attractor states. [ABSTRACT FROM AUTHOR]