Asymmetric cell division generates cell diversity and contributes to cellular aging and rejuvenation. Here, we review the molecular mechanisms enabling budding yeast to recognize spindle pole bodies (SPB, centrosome equivalent) based on their age, and guide their non‐random mitotic segregation: SPB inheritance requires the distinction of old from new SPBs and is regulated by the SPB‐inheritance network (SPIN) and the mitotic exit network (MEN). The SPIN marks the pre‐existing SPB as old and the MEN recognizes these marks (...) translating them into spindle orientation. We next revisit other molecules and structures that partition depending on their age rather than their abundance at mitosis as, for example, DNA, centrosomes, mitochondria, and histones in yeast and other systems. The recurrence of this differential behavior suggests a functional significance for numerous cell types, which we then discuss. We conclude that non‐random segregation may facilitate asymmetric cell fate determination and thereby indirectly aging and rejuvenation. (shrink)

inheritance reasoning in semantic networks allowing for multiple inheritance with exceptions. The approach leads to a definition of iaheritance that is..

In most cultures, extramarital sex is highly restricted for women. In most of those cultures, men transfer wealth to their own sons. In some cultures extramarital sex is not highly restricted for women, and in most of those cultures, men transfer wealth to their sisters' sons. Inheritance to sisters' sons ensures a man's biological relatedness to his heirs, and matrilineal inheritance has been posited as a male accommodation to cuckoldry—a paternity strategy—at least since the 15th century. However, longitudinal analysis of (...) the cumulative effect of female extramarital sex indicates that matrilineal inheritance is most advantageous for women and would be more accurately considered a grandmaternity strategy. That is, if the probability that men's putative children are their biological children is less than 1, the probabilistic degree of relatedness between a female and her matrilineal heirs is higher than her corresponding relatedness to her patrilineal heirs. The same holds true for men only if ρ is very low. The upshot is that for moderate levels of female extramarital sex, matrilineal inheritance, relative to patrilineal inheritance, is highly advantageous for women and disadvantageous for men. Consideration of female variance in reproductive success beyond the first generation, and of a man's network of obligation to the inclusive fitness of his relatives, suggests that although the establishment of matrilineal inheritance may require extremely high levels of female extramarital sex, once established, it is likely to be maintained at levels of ρ that reasonably characterize many societies in the ethnographic record. New analysis of previously published data shows a strong association between matrilineal inheritance and moderate to low probability of paternity, and an even stronger relationship between patrilineal inheritance and high probability of paternity. (shrink)

In this paper, we adopt a physiological perspective in order to produce an intelligible overview of biological transmission in all its diversity. This allows us to put forward the analysis of transmission mechanisms, with the aim of complementing the usual focus on transmitted factors. We underline the importance of the structural, dynamical, and functional features of transmission mechanisms throughout organisms’ life cycles in order to answer to the question of what is passed on across generations, how and why. On this (...) basis, we propose a vision of biological transmission as networks of heterogeneous physiological mechanisms, not restricted to transmission mechanisms stricto sensu. They prove to be themselves suited candidates for evolutionary explanations. They are processes both necessary for evolution to happen and resulting themselves from evolution. This leads us to call for a strategy of endogenization to account for transmission, and more specifically inheritance, as evolved and evolving physiological mechanisms. (shrink)

Contemporary East Asian societies are still struggling with complex legacies of colonialism, war and domination. Years of Japanese imperial occupation followed by the Cold War have entrenched competing historical understandings of responsibility for past crimes in Korea, China, Japan and elsewhere in the region. In this context, even the impressive economic and cultural networks that have developed over the past sixty years have failed to secure peaceful coexistence and overcome lingering attitudes of distrust and misunderstanding in the region. -/- This (...) book examines the challenges of historical reconciliation in East Asia, and, in doing so, calls for a reimagining of how we understand both historical identity and responsibility. It suggests that by adopting a ‘forward-looking’ approach that eschews obsession with the past, in favour of a reflective and deliberative engagement with history, real progress can be made towards peaceful coexistence in East Asia. With chapters that focus on select experiences from East Asia, while simultaneously situating them within a wider comparative perspective, the contributors to this volume focus on the close relationship between reconciliation and ‘inherited responsibility’ and reveal the contested nature of both concepts. Finally, this volume suggests that historical reconciliation is essential for strengthening mutual trust between the states and people of East Asia, and suggests ways in which such divisive legacies of conflict can be overcome. -/- Providing both an overview of the theoretical arguments surrounding reconciliation and inherited responsibility, alongside examples of these concepts from across East Asia, this book will be valuable to students and scholars interested in Asian politics, Asian history and international relations more broadly. (shrink)

How to enable the computer to accurately analyze the emotional information and story background of characters in Qin opera is a problem that needs to be studied. To promote the artistic inheritance and cultural emotion color dissemination of Qin opera, an emotion analysis model of Qin opera based on attention residual network is presented. The neural network is improved and optimized from the perspective of the model, learning rate, network layers, and the network itself, and then (...) multi-head attention is added to the ResNet to increase the recognition ability of the model. The convolutional neural network is optimized from the internal depth, and the fitting ability and stability of the model are enhanced through the ResNet model. Combined with the attention mechanism, the expression of each weight information is strengthened. The multi-head attention mechanism is introduced in the model and a multi-head attention ResNet, namely, MHAtt_ResNet, is proposed. The network structure can effectively identify the features of the spectrogram, improve the weight information of spectrogram features, and deepen the relationship between distant information in long-time series. Through experiments, the proposed model has high emotional classification accuracy for Qin opera, and with the increase of the number of data sets, the model will train a better classification effect. (shrink)

We present statistical analyses of the large‐scale structure of 3 types of semantic networks: word associations, WordNet, and Roget's Thesaurus. We show that they have a small‐world structure, characterized by sparse connectivity, short average path lengths between words, and strong local clustering. In addition, the distributions of the number of connections follow power laws that indicate a scale‐free pattern of connectivity, with most nodes having relatively few connections joined together through a small number of hubs with many connections. These regularities (...) have also been found in certain other complex natural networks, such as the World Wide Web, but they are not consistent with many conventional models of semantic organization, based on inheritance hierarchies, arbitrarily structured networks, or high‐dimensional vector spaces. We propose that these structures reflect the mechanisms by which semantic networks grow. We describe a simple model for semantic growth, in which each new word or concept is connected to an existing network by differentiating the connectivity pattern of an existing node. This model generates appropriate small‐world statistics and power‐law connectivity distributions, and it also suggests one possible mechanistic basis for the effects of learning history variables (age of acquisition, usage frequency) on behavioral performance in semantic processing tasks. (shrink)

We present statistical analyses of the large‐scale structure of 3 types of semantic networks: word associations, WordNet, and Roget's Thesaurus. We show that they have a small‐world structure, characterized by sparse connectivity, short average path lengths between words, and strong local clustering. In addition, the distributions of the number of connections follow power laws that indicate a scale‐free pattern of connectivity, with most nodes having relatively few connections joined together through a small number of hubs with many connections. These regularities (...) have also been found in certain other complex natural networks, such as the World Wide Web, but they are not consistent with many conventional models of semantic organization, based on inheritance hierarchies, arbitrarily structured networks, or high‐dimensional vector spaces. We propose that these structures reflect the mechanisms by which semantic networks grow. We describe a simple model for semantic growth, in which each new word or concept is connected to an existing network by differentiating the connectivity pattern of an existing node. This model generates appropriate small‐world statistics and power‐law connectivity distributions, and it also suggests one possible mechanistic basis for the effects of learning history variables (age of acquisition, usage frequency) on behavioral performance in semantic processing tasks. (shrink)

A semantic network or net is a graphic notation for representing knowledge in patterns of interconnected nodes and arcs. Computer implementations of semantic networks were first developed for artificial intelligence and machine translation, but earlier versions have long been used in philosophy, psychology, and linguistics. What is common to all semantic networks is a declarative graphic representation that can be used either to represent knowledge or to support automated systems for reasoning about knowledge. Some versions are highly informal, but (...) other versions are formally defined systems of logic. Following are six of the most common kinds of semantic networks, each of which is discussed in detail in one section of this article. 1. Definitional networks emphasize the subtype or is-a relation between a concept type and a newly defined subtype. The resulting network, also called a generalization or subsumption hierarchy, supports the rule of inheritance for copying properties defined for a supertype to all of its subtypes. Since definitions are true by definition, the information in these networks is often assumed to be necessarily true. (shrink)

Timely detection and efficient recognition of fault are challenging for the bogie of high-speed train, owing to the fact that different types of fault signals have similar characteristics in the same frequency range. Notice that convolutional neural networks are powerful in extracting high-level local features and that recurrent neural networks are capable of learning long-term context dependencies in vibration signals. In this paper, by combining CNN and RNN, a so-called convolutional recurrent neural network is proposed to diagnose various faults (...) of the HST bogie, where the capabilities of CNN and RNN are inherited simultaneously. Within the novel architecture, the proposed CRNN first filters out the features from the original data through convolutional layers. Then, four recurrent layers with simple recurrent cell are used to model the context information in the extracted features. By comparing the performance of the presented CRNN with CNN, RNN, and ensemble learning, experimental results show that CRNN achieves not only the best performance with accuracy of 97.8% but also the least time spent in training model. (shrink)

We present statistical analyses of the large‐scale structure of 3 types of semantic networks: word associations, WordNet, and Roget's Thesaurus. We show that they have a small‐world structure, characterized by sparse connectivity, short average path lengths between words, and strong local clustering. In addition, the distributions of the number of connections follow power laws that indicate a scale‐free pattern of connectivity, with most nodes having relatively few connections joined together through a small number of hubs with many connections. These regularities (...) have also been found in certain other complex natural networks, such as the World Wide Web, but they are not consistent with many conventional models of semantic organization, based on inheritance hierarchies, arbitrarily structured networks, or high‐dimensional vector spaces. We propose that these structures reflect the mechanisms by which semantic networks grow. We describe a simple model for semantic growth, in which each new word or concept is connected to an existing network by differentiating the connectivity pattern of an existing node. This model generates appropriate small‐world statistics and power‐law connectivity distributions, and it also suggests one possible mechanistic basis for the effects of learning history variables (age of acquisition, usage frequency) on behavioral performance in semantic processing tasks. (shrink)

While Wallace disagreed with Darwin that domesticates provided a great deal of useful information on wild populations,71 Darwin continued to draw on his domesticated animals and plants to inform him on the workings of his theory. Unlike Wallace, his exposure to natural populations was extremely limited after his return from the Beagle voyage. By the 1850s, he had settled into a life at Down House and was becoming more and more withdrawn from London scientific circles. He turned to his (...) class='Hi'>network of informants, visits from colleagues such as Hooker and T. H. Huxley, subscriptions to various journals, and his own experimental studies at Down.This work on domesticates was clearly related to other natural history studies conducted by Darwin and others during the same period. For example, during the 1850s when Darwin worked on domesticates, he was also engaged in questions of geographic distribution. To study the dispersal and subsequent viability of introduced seeds, he soaked various seeds in a tub filled with seawater and counted which of the seeds floated after a given period; later he planted the seeds in the yard at Down to look for potential viability. There was no attempt at controlled, replicated experiments in these studies, or in his work with domesticates, nor should there have been. To Darwin the results of one experiment represented a potential truth of nature, and he was quick to seize upon these results as supporting evidence for his theory.I have suggested in this paper that his work on domesticates was not simply meant to provide an analogy for natural selection but rather became a research program to investigate other aspects of his natural selection theory, especially inheritance and variability; these subjects were integral parts of his theory of natural selection, but by 1859 he had not found a mechanism to account for them. The experiments brought home the difficult problems of inheritance, and Darwin specifically formulated pangenesis to account for these problems. Pangenesis was not an afterthought but an integration of several decades of thinking on inheritance. It was a unified theory to explain the complicated results he witnessed in his own experiments.Much of the Darwin scholarship has focused on Darwin's path toward the discovery of natural selection. Natural selection per se was a major interest, but not the only area of interest to Darwin. Inheritance was an area of serious concern for him both before and after he had formulated natural selection. His experimentation with domesticates was an attempt to look beyond natural selection and to concentrate on the difficult subject of inheritance. He found inheritance especially troublesome, requiring a “provisional hypothesis” to account for it. To see domesticates, as they are described in the Origin, as merely an analogy for natural selection, does not account for the importance Darwin placed on them. For him they were not man's monstrous productions, but worthy experimental subjects providing him with crucial information on inheritance. (shrink)

Drawing on 49 oral-history interviews with Scottish family business owner-managers, six key-informant interviews, and secondary sources, this interdisciplinary study analyses the decline of kinship-based connections and the emergence of new kinds of elite networks around the 1980s. As the socioeconomic context changed rapidly during this time, cooperation built primarily around literal family ties could not survive unaltered. Instead of finding unity through bio-legal family connections, elite networks now came to redefine their ‘family businesses’ in terms of affectively loaded ‘family values’ (...) such as loyalty, care, commitment, and even ‘love’. Consciously nurturing ‘as-if-family’ emotional and ethical connections arose as a psychologically effective way to bring together network members who did not necessarily share pre-existing connections of bio-legal kinship. The social-psychological processes involved in this extension of the ‘family’ can be understood using theories of the moral sentiments first developed in the Scottish Enlightenment. These theories suggest that, when the context is amenable, family-like emotional bonds can be extended via sympathy to those to whom one is not literally related. As a result of this ‘progress of sentiments’, one now earns his/her place in a Scottish family business, not by inheriting or marrying into it, but by performing family-like behaviours motivated by shared ethics and affects. (shrink)

Frequent lateral genetic transfer undermines the existence of a unique “tree of life” that relates all organisms. Vertical inheritance is nonetheless of vital interest in the study of microbial evolution, and knowing the “tree of cells” can yield insights into ecological continuity, the rates of change of different cellular characters, and the evolutionary plasticity of genomes. Notwithstanding within-species recombination, the relationships most frequently recovered from genomic data at shallow to moderate taxonomic depths are likely to reflect cellular inheritance. At the (...) same time, it is clear that several types of ‘average signals’ from whole genomes can be highly misleading, and the existence of a central tendency must not be taken as prima facie evidence of vertical descent. Phylogenetic networks offer an attractive solution, since they can be formulated in ways that mitigate the misleading aspects of hybrid evolutionary signals in genomes. But the connections in a network typically show genetic relatedness without distinguishing between vertical and lateral inheritance of genetic material. The solution may lie in a compromise between strict tree-thinking and network paradigms: build a phylogenetic network, but identify the set of connections in the network that are potentially due to vertical descent. Even if a single tree cannot be unambiguously identified, choosing a subnetwork of putative vertical connections can still lead to drastic reductions in the set of candidate vertical hypotheses. (shrink)

It is increasingly common in natural and social sciences to rely on network visualizations to explore relational datasets and illustrate findings. Such practices have been around long enough to prove that scholars find it useful to project networks in a two-dimensional space and to use their visual qualities as proxies for their topological features. Yet these practices remain based on intuition, and the foundations and limits of this type of exploration are still implicit. To fill this lack of formalization, (...) this paper offers explicit documentation for the kind of visual network analysis encouraged by force-directed layouts. Using the example of a network of Jazz performers, band and record labels extracted from Wikipedia, the paper provides guidelines on how to make networks readable and how to interpret their visual features. It discusses how the inherent ambiguity of network visualizations can be exploited for exploratory data analysis. Acknowledging that vagueness is a feature of many relational datasets in the humanities and social sciences, the paper contends that visual ambiguity, if properly interpreted, can be an asset for the analysis. Finally, we propose two attempts to distinguish the ambiguity inherited from the represented phenomenon from the distortions coming from fitting a multidimensional object in a two-dimensional space. We discuss why these attempts are only partially successful, and we propose further steps towards a metric of spatialization quality. (shrink)

Social support networks play a key role in human livelihood security, especially in vulnerable communities. Here we explore how evolutionary ideas of kin selection and intrahousehold resource competition can explain individual variation in daily support network size and composition in a south-central Ethiopian agricultural community. We consider both domestic and agricultural help across two generations with different wealth-transfer norms that yield different contexts for sibling competition. For farmers who inherited land rights from family, firstborns were more likely to report (...) daily support from parents and to have larger nonparental kin networks. Compared with other farmers, firstborns were also more likely to reciprocate their parents’ support, and to help nonparental kin without reciprocity. For farmers who received land rights from the government, middle-born farmers reported more nonparental kin in their support networks compared with other farmers; nonreciprocal interactions were particularly common in both directions. This suggests a diversification of adult support networks to nonparental kin, possibly in response to a long-term parental investment disadvantage of being middle-born sons. In all instances, regardless of inheritance, lastborn farmers were the most disadvantaged in terms of kin support. Overall, we found that nonreciprocal interactions among farmers followed kin selection predictions. Direct reciprocity explained a substantial part of the support received from kin, suggesting the importance of the combined effects of kin selection and reciprocity for investment from kin. (shrink)

The Liver kinase B1 with its downstream target AMP activated protein kinase (LKB1‐AMPK), and the key nutrient sensor mammalian target of rapamycin complex 1 (mTORC1) form two signaling systems that coordinate metabolic and cellular activity with changes in the environment in order to preserve homeostasis. For example, nutritional fluctuations rapidly feed back on these signaling systems and thereby affect cell‐specific functions. Recent studies have started to reveal important roles of these strategic metabolic regulators in Schwann cells for the trophic support (...) and myelination of axons. Because aberrant intermediate metabolism along with mitochondrial dysfunction in Schwann cells is mechanistically linked to nerve abnormalities found in acquired and inherited peripheral neuropathies, manipulation of the LKB1‐AMPK, and mTORC1 signaling hubs may be a worthwhile therapeutic target to mitigate nerve damage in disease. Here, recent advances in our understanding of LKB1‐AMPK and mTORC1 functions in Schwann cells are covered, and future research areas for this key metabolic signaling network are proposed. (shrink)

Since the collapse of the Soviet Union, Moscow has become a global city with a vibrant urban and cultural life-one of the most expensive capitals in the world with famous clubs and restaurants, as well as one of the most popular destinations for city workers and diplomats. Has corruption been instrumental in Moscow's development? The answer is complicated and in many ways a matter of definitions. It depends on whether one considers informal practices-inherited from Soviet times as well as new (...) ones-as corrupt and how one conceptualizes corruption. I will illustrate some of these complications for the case of the Soviet practice of blat, explain its "monetization" and its evolving relationship with corruption in the post-Soviet transition, and analyze the role of informal networks in present-day Russia. (shrink)

This book reviews the research on Einstein’s brain from a sociological perspective and in the context of the social brain paradigm. Instead of “Einstein, the genius of geniuses” standing on the shoulders of giants, Restivo proposes a concept of Einstein the social being standing on the shoulders of social networks. Rather than challenging Einstein’s uniqueness or the uniqueness of his achievements, the book grounds Einstein and his achievements in a social ecology opposed to the myths of the “I,” individualism, and (...) the very idea of “genius.” “Einstein” is defined by the particular configuration of social networks that he engaged as his life unfolded, not by biological inheritances. (shrink)

Many natural and biological phenomena can be depicted as networks. Theoretical and empirical analyses of networks have become prevalent. I discuss theoretical biases involved in the delineation of biological networks. The network perspective is shown to dissolve the distinction between regulatory architecture and regulatory state, consistent with the theoretical impossibility of distinguishing a priori between “program” and “data”. The evolutionary significance of the dynamics of trans-generational and inter-organism regulatory networks is explored and implications are presented for understanding the evolution (...) of the biological categories development-heredity; plasticity-evolvability; and epigenetic-genetic. (shrink)

The new business opportunities and prospects emerging in Europe within the Common Market and other Western and European countries also raise important ethical challenges. This work comprises a collection of ethical insights to enhance the conduct of business in an evolving Europe.

The major challenge in complex disease genetics is to understand the fundamental features of this complexity and why functional alterations at multiple independent genes conspire to lead to an abnormal phenotype. We hypothesize that the various genes involved are all functionally united through gene regulatory networks (GRN), and that mutant phenotypes arise from the consequent perturbation of one or more rate‐limiting steps that affect the function of the entire GRN. Understanding a complex phenotype thus entails unraveling the details of each (...) GRN, namely, the transcription factors that bind to cis regulatory elements affected by sequence variants altering transcription of specific genes, and their mutual feedback relationships. These GRNs can be identified through their rate‐limiting steps and are best uncovered by genomic analyses of rare, extreme phenotype families, thus providing a coherent molecular basis to complex traits and disorders. (shrink)

Darwinian evolutionary theory has two key terms, variations and biological selection, which finally lead to survival of the fittest variant. With the rise of molecular genetics, variations were explained as results of error replications out of the genetic master templates. For more than half a century, it has been accepted that new genetic information is mostly derived from random error-based events. But the error replication narrative has problems explaining the sudden emergence of new species, new phenotypic traits, and genome innovations (...) as a sudden single event. Meanwhile, it is recognized that errors cannot explain the evolution of genetic information, genetic novelty, and complexity. Now, empirical evidence establishes the crucial role of non-random genetic content editors, such as viruses, diversity generating retroelements, and other RNA networks, to produce new genetic information, complex regulatory control, inheritance vectors, genetic identity, immunity, new sequence space, evolution of complex organisms, and evolutionary transitions. (shrink)

Standard microbial evolutionary ontology is organized according to a nested hierarchy of entities at various levels of biological organization. It typically detects and defines these entities in relation to the most stable aspects of evolutionary processes, by identifying lineages evolving by a process of vertical inheritance from an ancestral entity. However, recent advances in microbiology indicate that such an ontology has important limitations. The various dynamics detected within microbiological systems reveal that a focus on the most stable entities (or features (...) of entities) over time inevitably underestimates the extent and nature of microbial diversity. These dynamics are not the outcome of the process of vertical descent alone. Other processes, often involving causal interactions between entities from distinct levels of biological organisation, or operating at different time scales, are responsible not only for the destabilisation of pre-existing entities, but also for the emergence and stabilisation of novel entities in the microbial world. In this article we consider microbial entities as more or less stabilised functional wholes, and sketch a network-based ontology that can represent a diverse set of processes including, for example, as well as phylogenetic relations, interactions that stabilise or destabilise the interacting entities, spatial relations, ecological connections, and genetic exchanges. We use this pluralistic framework for evaluating (i) the existing ontological assumptions in evolution (e.g. whether currently recognized entities are adequate for understanding the causes of change and stabilisation in the microbial world), and (ii) for identifying hidden ontological kinds, essentially invisible from within a more limited perspective. We propose to recognize additional classes of entities that provide new insights into the structure of the microbial world, namely “processually equivalent” entities, “processually versatile” entities, and “stabilized” entities. (shrink)

The Neo‐Darwinian concept of natural selection is plausible when one assumes a straightforward causation of phenotype by genotype. However, such simple 1:1 mapping must now give place to the modern concepts of gene regulatory networks and gene expression noise. Both can, in the absence of genetic mutations, jointly generate a diversity of inheritable randomly occupied phenotypic states that could also serve as a substrate for natural selection. This form of epigenetic dynamics challenges Neo‐Darwinism. It needs to incorporate the non‐linear, stochastic (...) dynamics of gene networks. A first step is to consider the mathematical correspondence between gene regulatory networks and Waddington's metaphoric ‘epigenetic landscape’, which actually represents the quasi‐potential function of global network dynamics. It explains the coexistence of multiple stable phenotypes within one genotype. The landscape's topography with its attractors is shaped by evolution through mutational re‐wiring of regulatory interactions – offering a link between genetic mutation and sudden, broad evolutionary changes. (shrink)

This paper shows a full description of Spanish inflectional morphology. We have chosen a paradigmatic approach instead of one based on phonological/spelling changes, i.e., the typical two-level model. Such morphological description has been written in the DATR formalism. The result is a network of nodes that makes use of the information inheritance mechanisms – orthogonal node inheritance and default path inheritance – that DATR allows. Some lexical coverage and corpus occurrence figures that support our approach are also given.

An idea is not a replicator because it does not consist of coded self-assembly instructions. It may retain structure as it passes from one individual to another, but does not replicate it. The cultural replicator is not an idea but an associatively-structured network of them that together form an internal model of the world, or worldview. A worldview is a primitive, uncoded replicator, like the autocatalytic sets of polymers widely believed to be the earliest form of life. Primitive replicators (...) generate self-similar structure, but because the process happens in a piecemeal manner, through bottom-up interactions rather than a top-down code, they replicate with low fidelity, and acquired characteristics are inherited. Just as polymers catalyze reactions that generate other polymers, the retrieval of an item from memory can in turn trigger other items, thus cross-linking memories, ideas, and concepts into an integrated conceptual structure. Worldviews evolve idea by idea, largely through social exchange. An idea participates in the evolution of culture by revealing certain aspects of the worldview that generated it, thereby affecting the worldviews of those exposed to it. If an idea influences seemingly unrelated fields this does not mean that separate cultural lineages are contaminating one another, because it is worldviews, not ideas, that are the basic unit of cultural evolution. (shrink)

Movement and positional control of mitochondria and other organelles are coordinated with cell cycle progression in the budding yeast, Saccharomyces cerevisiae. Recent studies have revealed a checkpoint that inhibits cytokinesis when there are severe defects in mitochondrial inheritance. An established checkpoint signaling pathway, the mitotic exit network (MEN), participates in this process. Here, we describe mitochondrial motility during inheritance in budding yeast, emerging evidence for mitochondrial quality control during inheritance, and organelle inheritance checkpoints for mitochondria and other organelles.

Although the connectionist approach has lead to elegant solutions to a number of problems in cognitive science and artificial intelligence, its suitability for dealing with problems in knowledge representation and inference has often been questioned. This paper partly answers this criticism by demonstrating that effective solutions to certain problems in knowledge representation and limited inference can be found by adopting a connectionist approach. The paper presents a connectionist realization of semantic networks, that is, it describes how knowledge about concepts, their (...) properties, and the hierarchical relationship between them may be encoded as an interpreter‐free massively parallel network of simple processing elements that can solve an interesting class of inheritance and recognition problems extremely fast—in time proportional to the depth of the conceptual hierarchy. The connectionist realization is based on an evidential formulation that leads to principled solutions to the problems of exceptions and conflicting multiple inheritance situations during inheritance, and the best‐match or partial‐match computation during recognition. The paper also identifies constraints that must be satisfied by the conceptual structure in order to arrive at an efficient parallel realization. (shrink)

In this essay we critically evaluate the progress that has been made in solving the problem of meaning in artificial intelligence (AI) and robotics. We remain skeptical about solutions based on deep neural networks and cognitive robotics, which in our opinion do not fundamentally address the problem. We agree with the enactive approach to cognitive science that things appear as intrinsically meaningful for living beings because of their precarious existence as adaptive autopoietic individuals. But this approach inherits the problem of (...) failing to account for how meaning as such could make a difference for an agent’s behavior. In a nutshell, if life and mind are identified with physically deterministic phenomena, then there is no conceptual room for meaning to play a role in its own right. We argue that this impotence of meaning can be addressed by revising the concept of nature such that the macroscopic scale of the living can be characterized by physical indeterminacy. We consider the implications of this revision of the mind-body relationship for synthetic approaches. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Reviewed by:Theory in the “Post” Era: A Vocabulary for the 21st-Century Conceptual Commons ed. by Alexandru Matei, Christian Moraru and Andrei TerianLaura Elena Savu WalkerMatei, Alexandru, Christian Moraru, and Andrei Terian, editors. Theory in the “Post” Era: A Vocabulary for the 21st-Century Conceptual Commons. Bloomsbury, 2021. 376pp.Far from “mourning” the demise of theory, this timely and thoughtfully curated essay collection testifies to its “renewed vitality,” its compelling presence “across (...) fields, domains of life, and geocultural boundaries,” and its power to build an ever-expanding world community of practioners who are forming what has come to be known as a “theory commons” (ix). As the collection’s editors point out, theory’s new lease on life hinges on ensuring both the democratic workings of this “world discourse formation” (1) and on the responsible theorizing of the very notion of community in “a world threatened by all kinds of anti-communal actions and reactions, from runaway globalization to exacerbated tribalism and tunnel-vision politics” (x). Working on the margins, specifically, out of a Romanian “lab” called The Critical Theory Institute (CTI), which opened its doors in early 2000, the contributors seek to revise the “standard history of theory,” one whose “Western origins, authority, and cultural compass ” strike them as “exceedingly reductive” (3). This project of geotheoretical repositioning and recalibration aims to recast theory as a “quintessentially cross-linguistic, cross-cultural, trans- and intercontinental undertaking” (4). As such, it carries on the project, launched in a previous volume, Romanian Literature as World Literature (2018), of fashioning an alternative to the nation-state paradigm that has long shaped literary and intellectual histories. In both of these works, Romanian critics and theorists have tuned into a wide range of voices, and tapped into a shared conceptual and methodological apparatus—itself the product of “an ethno-linguistic medley of traditions” (8). This approach informs what editors see as the “epoch-making” (17) discursive paradigm that has taken shape in globally networked post-Cold War societies (17), a viral model of cultural influence that fosters an ontology of “contact, contagion, of infection, dissemination, and horizontal accumulation” (15).To give us a sense of theory’s complex genealogy and evolution, the editors reference the Bulgarian critic Galin Tihanov, who has attributed [End Page 122] important developments in contemporary theory to the achievements of theorists (Nikolai Trubetskoi, Roman Jakobson, Vladimir Propp, and Georg Lukács) and schools of thought (Russian Formalism and the Prague Linguistic Circle). In “Traveling Theory” (1983) and “Traveling Theory Reconsidered” (2000), Edward Said called attention to the migratory nature of contributions made, for instance, by Georg Lukács, whose theories moved across different European locales in this period. Since then, contemporary theory has branched out to integrate the travels and travails of scholars affiliated with theory labs located in Bulgaria, Hungary, Slovakia, and last, but not least, Romania (10).Theory in the “Post” Era highlights five characteristics that distinguish theory in the “post” era from earlier forms: 1) It has a “reluctantly epoch-alist” thrust (19; original italics), which assumes that the “post” lexicon entails “rupture, discontinuity, and opposition” (19), radical departures, tentative claims, provisional conclusions, and ex-centric perspectives; 2) it adopts a “self-reflexive and experimental” (20; original italics) stance in which theorists invoke inherited approaches or invent new ones; 3) it introduces a “transdisciplinary” (21; original italics) scope that allows authors to interrogate the foundations, aims, and methods of theoretical discourse and practice across several knowledge domains, from which they “borrow whole vocabularies and toolkits” (21); 4) it is “nationally, transnationally, and ecologically affiliative” (20) in ways that allow theorists to “think with others at a distance” (21) about global issues; and 5) it is programmatic, placing critical and theoretical concerns in the service of “the ethical, the political, and the communal” (22). Organized around three main themes (“Aesthetics,” “Temporalities,” and “Critical Modes”), the essays juxtapose discussions of pivotal historical events and cultural phenomena with literary analyses of Romantic era “classics,” modernist experiments, and postmodern works of the post-Communist era, a corpus that includes, but is not limited to, landmark works of national culture that are now part of a fast-expanding planetary... (shrink)

Human cultural life is replete with examples of adaptations to the social, physical, and biological environments that have been built gradually, cumulatively, by hidden-hand mechanisms. The impressive technologies, natural history databases, and exchange networks of traditional peoples have been built in this way. But the ethnological record is also replete with evidence of maladaptive beliefs and practices, and of failures to adapt to changing circumstances. This paper is about such failures. In what ways is cultural evolution constrained, and what explains (...) those constraints? In what ways are those constraints similar to those that affect gene-based evolution; in what ways are they different? In this paper I argue that there are some similar mechanisms of constraint ; there are some differences ; but the major difference results from a division of labor between inheritance systems; the problem of fast change has been offloaded from the genetic to the cultural system. (shrink)

Mitochondrial function is key for maintaining cellular health, while mitochondrial failure is associated with various pathologies, including inherited metabolic disorders and age‐related diseases. In order to maintain mitochondrial quality, several pathways of mitochondrial quality control have evolved. These systems monitor mitochondrial integrity through antioxidants, DNA repair systems, and chaperones and proteases involved in the mitochondrial unfolded protein response. Additional regulation of mitochondrial function involves dynamic exchange of components through mitochondrial fusion and fission. Sustained stress induces a selective autophagy – termed (...) mitophagy – and ultimately leads to apoptosis. Together, these systems form a network that acts on the molecular, organellar, and cellular level. In this review, we highlight how these systems are regulated in an integrated context‐ and time‐dependent network of mitochondrial quality control that is implicated in healthy aging. (shrink)

With the rapid development of the Internet, political culture plays an increasingly prominent role in ethical guidance and value orientation, and the intergenerational inheritance of political culture in various countries needs to be carried out in a sophisticated way. From the perspective of empathic narrative, this study applies the network text analysis method to detect the cultural communication regularities to the contemporary young adults in online political communication and explores contemporary young adults’ perception of online political culture through empirical (...) analysis. Moreover, it proposes the empathic narrative logic of online political communication by comparing the existing communication elements and the urgently needed communication elements. Our findings suggest that we need to deepen the cognitive empathy, stabilize the emotional empathy, and adjust the emotional bias in online political communication. (shrink)

In this article, we assess the generalizability of the feminist agrifood systems model developed by Sachs et al.. We ask to what extent might these findings generated from the study of Pennsylvania women farmers be generalized to other regions of the U.S. We define and situate the FAST theory to the Michigan, U.S. context in order to better understand how the shifts in agriculture and women’s roles in the U.S. based on our data, align or depart with that experienced by (...) women farmers in the northeast. We find that there are many similarities in the experiences of these two populations, but there are also some differences. Five primary differences in the two populations are articulated. Michigan women farmers appear to struggle to assert the identity of a farmer; struggle to access land via inheritance; are income dependent on males; often work in value-added production that does not challenge traditionally-coded ‘women’s work’; and perpetuate on-farm education/networks based on nostalgia which may further the distance between producers and consumers. We conclude with a brief discussion of what may account for these differences. (shrink)

In this challenging and provocative analysis, Dale Jacquette argues that contemporary philosophy labours under a number of historically inherited delusions about the nature of logic and the philosophical significance of certain formal properties of specific types of logical constructions. Exposing some of the key misconceptions about formal symbolic logic and its relation to thought, language and the world, Jacquette clears the ground of some very well-entrenched philosophical doctrines about the nature of logic, including some of the most fundamental seldom-questioned parts (...) of elementary propositional and predicate-quantificational logic. Having presented difficulties for conventional ways of thinking about truth functionality, the metaphysics of reference and predication, the role of a concept of truth in a theory of meaning, among others, Jacquette proceeds to reshape the network of ideas about traditional logic that philosophy has acquired along with modern logic itself. In so doing Jacquette is able to offer a new perspective on a number of existing problems in logic and philosophy of logic. (shrink)

Two welcome extensions of evolutionary thinking have come to prominence over the last thirty years: the so-called ’extended evolutionary synthesis’ (EES) and debate about biological kinds and individuals. These two agendas have, however, remained orthogonal to one another. The EES has mostly restricted itself to widening the explanations of adaptation offered by the preceding ’modern evolutionary synthesis’ by including additional mechanisms of inheritance and variation; while discussion of biological kinds has turned toward philosophical questions of essential vs. contingent properties of (...) life forms and realist vs. epistemological approaches to categorization and classification. Here we attempt to broaden the explanatory scope of evolutionary theory by linking these two agendas. We expand on the mechanistic orientation of the EES, using new understandings of networked systems of components in order to engage the distinct intellectual challenge of the origination of “historical kinds”. With this phrase we designate a subset of natural kinds that acquires, through evolutionary processes, a quasi-independent lineage-history. Such kinds emerge in both biology and culture, and we enlarge the limited number of historical kinds that have thus far been recognized in evolutionary biology in a series of paradigmatic exemplars, from genes and cell types to rituals and music. For each exemplar we discern specific mechanisms by which it arose and persists; comparing these, we suggest a general unity in the ways in which diverse historical kinds originate. (shrink)

The experimental study of the emotions as pursued by LeDoux and Damasio is argued to be flawed as a consequence of the inadequate conceptual framework inherited from the work of William James. This paper clarifes the conceptual structures necessary for any discussion of the emotions. Emotions are distinguished from appetites and other non-emotional feelings, as well as from agitations and moods. Emotional perturbations are distinguished from emotional attitudes and motives. The causes of an emotion are differentiated from the objects of (...) an emotion, and the objects of an emotion are distinguished into formal and material ones. The links between emotions and reasons for the emotion, for associated beliefs and for action are explored, as well as the connection between emotion and care or concern, and between emotion and fantasy. The behavioural criteria for the ascription of an emotion are clarified. In the light of this conceptual network, Damasio’s theory of the emotions is subjected to critical scrutiny and found wanting. (shrink)

In this challenging and provocative analysis, Dale Jacquette argues that contemporary philosophy labours under a number of historically inherited delusions about the nature of logic and the philosophical significance of certain formal properties of specific types of logical constructions. Exposing some of the key misconceptions about formal symbolic logic and its relation to thought, language and the world, Jacquette clears the ground of some very well-entrenched philosophical doctrines about the nature of logic, including some of the most fundamental seldom-questioned parts (...) of elementary propositional and predicate-quantificational logic. Having presented difficulties for conventional ways of thinking about truth functionality, the metaphysics of reference and predication, the role of a concept of truth in a theory of meaning, among others, Jacquette proceeds to reshape the network of ideas about traditional logic that philosophy has acquired along with modern logic itself. In so doing Jacquette is able to offer a new perspective on a number of existing problems in logic and philosophy of logic. (shrink)