Coordination is a key problem for addressing goal–action gaps in many human endeavors. We define interpersonal coordination as a type of communicative action characterized by low interpersonal belief and goal conflict. Such situations are particularly well described as having collectively “intelligent”, “common good” solutions, viz., ones that almost everyone would agree constitute social improvements. Coordination is useful across the spectrum of interpersonal communication—from isolated individuals to organizational teams. Much attention has been paid to coordination in teams and organizations. In this (...) paper we focus on the looser interpersonal structures we call active support networks, and on technology that meets their needs. We describe two needfinding investigations focused on social support, which examined four application areas for improving coordination in ASNs: academic coaching, vocational training, early learning intervention, and volunteer coordination; and existing technology relevant to ASNs. We find a thus-far unmet need for personal task management software that allows smooth integration with an individual’s active support network. Based on identified needs, we then describe an open architecture for coordination that has been developed into working software. The design includes a set of capabilities we call “social prompting”, as well as templates for accomplishing multi-task goals, and an engine that controls coordination in the network. The resulting tool is currently available and in continuing development. We explain its use in ASNs with an example. Follow-up studies are underway in which the technology is being applied in existing support networks. (shrink)

Based on the Valence Bond theory, an attempt is proposed to the complex network. The principle of chemical bonding of the basic particles that make up the substance creates a metaphor between the formation of social networks. By analyzing the integration of atoms by relying on the chemical bonds between particles, then the social basis for the connection between social network nodes should depend on the tangible or intangible attribute resources that characterize social capital around the main node. Based (...) on the above analysis, the social node is divided into active nodes and passive nodes, and a dynamic model of social network formation is proposed, the Valence Bond model of social network. Through this model, the actual athlete group nodes are depicted, and the representation of the model and the evolution of network structure are given with the actual data. (shrink)

Metacognition is the capacity to evaluate the success of one's own cognitive processes in various domains; for example, memory and perception. It remains controversial whether metacognition relies on a domain-general resource that is applied to different tasks or if self-evaluative processes are domain specific. Here, we investigated this issue directly by examining the neural substrates engaged when metacognitive judgments were made by human participants of both sexes during perceptual and memory tasks matched for stimulus and performance characteristics. By comparing patterns (...) of fMRI activity while subjects evaluated their performance, we revealed both domain-specific and domain-general metacognitive representations. Multivoxel activity patterns in anterior prefrontal cortex predicted levels of confidence in a domain-specific fashion, whereas domain-general signals predicting confidence and accuracy were found in a widespread network in the frontal and posterior midline. The demonstration of domain-specific metacognitive representations suggests the presence of a content-rich mechanism available to introspection and cognitive control. (shrink)

The article devoted to the phenomenon of ‘virtual‘ social media as a factor influencing the formation of the markers of the value palette and preferences of modern youth. The reasoning of this interest is due to the fact that it is the youth, who is a catalyst for the development of a society. The young people today are actively involved in the urban environment through the virtualization of everyday practices, through the incorporation in the colossal information stream and the virtual (...) urban communities. The aim of this study is to identify among the youth audience the role of social media in the formation of value-sense attitudes and preferences. The study methodology is based on research approach of Sheri Turkle. Through the empirical research, the authors define both the motives for the inclusion of young people in virtual communities and the direction of the content of these virtual groups. As a result, the authors come to the conclusion that the dominant force of social networking is self-assertion of a personality with an active representative example included in a variety of communities, living and acting according to the rules of these groups and receiving there social approval and support; it often leads to a break with the cultural tradition and to forming the personality of a new type. This reason determines the novelty and relevance of the research in modern conditions of development of the digital society. (shrink)

The complex activity of the human brain makes it difficult to get a big picture of how the brain works and functions as the mind. We examine pertinent studies, as well as evolutionary and embryologic evidence to support our theoretical model consisting of separate but interactive layers of human neural activity. The most basic layer involves default mode network (DMN)activity and cardiorespiratory oscillations. We propose that these oscillations support other neural activity and cognitive processes. The second layer involves (...) limbic system activity accompanied by corresponding changes in cardiorespiratory oscillations. The third layer consists of corticothalamic processing and involves higher cortical functions including awareness, cognition,and consciousness. These layers interact to form the complex neural activity of the human brain. Examining the origins and relationships of various neural and physiologic oscillations may provide better understanding of human neurophysiology and consciousness. (shrink)

Recent evidence points to widespread underconnectivity in autistic brains owing to deviant white matter, the fibers that make long connections between areas of the cortex. Subjects with autism show measurably fewer long-range connections between the parietal and prefrontal cortices. These findings may help shed light on the current debate in the consciousness literature about whether conscious states require both prefrontal and parietal/temporal components. If it can be shown that people with autism have conscious states despite such underconnectivity, this would constitute (...) an argument for the claim that conscious states can exist in posterior cortex without associated prefrontal activity. This in turn lends support to a class of theories according to which microconsciousness is possible—consciousness in small areas of cortex without active connections to the prefrontal cortex, as opposed to the higher-order thought (HOT) theory of consciousness, according to which conscious states can only occur when posterior cortical areas (in the parietal or temporal lobes) have active connections to the prefrontal cortex. In this chapter, after listing several candidate examples of consciousness without accompanying prefrontal connections, I will argue that autism provides yet another such example. I will also examine a recent version of the higher-order theory that acknowledges these cases of consciousness without prefrontal activity and, instead depicts consciousness as requiring higher-order thoughts located in posterior cortex. In the final section, I will examine the consequences of these views for our understanding of the metaphysical nature of consciousness itself—the classic mind-body problem. (shrink)

This article explores the activities of the Society of Apothecaries and its members following the foundation of a laboratory for manufacturing chemical medicines in 1672. In response to political pressures, the guild created an institutional framework for production which in time served its members both functionally and financially and established a physical site within which the endorsement of practical knowledge could take place. Demand from state and institutional customers for drugs produced under corporate oversight affirmed and supported the society's trading (...) role, with chemical and pharmaceutical knowledge utilized to fulfil collective and individual goals. The society benefited from the mercantile interests, political connections and practical expertise of its members, with contributions to its trading activities part of a much wider participation in London's medical, scientific and commercial milieu. Yet, as apothecaries became increasingly engaged in the practice of medicine rather than the preparation and sale of drugs, the society struggled to reconcile the changing priorities of those it represented, and tensions emerged between its corporate and commercial activities. (shrink)

This paper presents the architecture and initial feasibility results of a proto-type communication network that utilizes genetic programming to evolve services and protocols as part of network operation. The network evolves responses to environmental conditions in a manner that could not be preprogrammed within legacy network nodes a priori. A priori in this case means before network operation has begun. Genetic material is exchanged, loaded, and run dynamically within an active network. The transfer and execution of code in (...) class='Hi'>support of the evolution of network protocols and services would not be possible without the active network environment. Rapid generation of network service code occurs via a genetic programming paradigm. Complexity and Algorithmic Information Theory play a key role in understanding and guiding code evolution within the network. (shrink)

In a seminal 1977 article, Rumelhart argued that perception required the simultaneous use of multiple sources of information, allowing perceivers to optimally interpret sensory information at many levels of representation in real time as information arrives. Building on Rumelhart's arguments, we present the Interactive Activation hypothesis—the idea that the mechanism used in perception and comprehension to achieve these feats exploits an interactive activation process implemented through the bidirectional propagation of activation among simple processing units. We then examine the interactive activation (...) model of letter and word perception and the TRACE model of speech perception, as early attempts to explore this hypothesis, and review the experimental evidence relevant to their assumptions and predictions. We consider how well these models address the computational challenge posed by the problem of perception, and we consider how consistent they are with evidence from behavioral experiments. We examine empirical and theoretical controversies surrounding the idea of interactive processing, including a controversy that swirls around the relationship between interactive computation and optimal Bayesian inference. Some of the implementation details of early versions of interactive activation models caused deviation from optimality and from aspects of human performance data. More recent versions of these models, however, overcome these deficiencies. Among these is a model called the multinomial interactive activation model, which explicitly links interactive activation and Bayesian computations. We also review evidence from neurophysiological and neuroimaging studies supporting the view that interactive processing is a characteristic of the perceptual processing machinery in the brain. In sum, we argue that a computational analysis, as well as behavioral and neuroscience evidence, all support the Interactive Activation hypothesis. The evidence suggests that contemporary versions of models based on the idea of interactive activation continue to provide a basis for efforts to achieve a fuller understanding of the process of perception. (shrink)

Background and PurposeTranscranial direct current stimulation is an emerging non-invasive neuromodulation technique for focal epilepsy. Because epilepsy is a disease affecting the brain network, our study was aimed to evaluate and predict the treatment outcome of cathodal tDCS by analyzing the ctDCS-induced functional network alterations.MethodsEither the active 5-day, −1.0 mA, 20-min ctDCS or sham ctDCS targeting at the most active interictal epileptiform discharge regions was applied to 27 subjects suffering from focal epilepsy. The functional networks before and (...) after ctDCS were compared employing graph theoretical analysis based on the functional magnetic resonance imaging data. A support vector machine prediction model was built to predict the treatment outcome of ctDCS using the graph theoretical measures as markers.ResultsOur results revealed that the mean clustering coefficient and the global efficiency decreased significantly, as well as the characteristic path length and the mean shortest path length at the stimulation sites in the fMRI functional networks increased significantly after ctDCS only for the patients with response to the active ctDCS. Our prediction model achieved the mean prediction accuracy of 68.3% after the nested cross validation. The mean area under the receiver operating curve was 0.75, which showed good prediction performance.ConclusionThe study demonstrated that the response to ctDCS was related to the topological alterations in the functional networks of epilepsy patients detected by fMRI. The graph theoretical measures were promising for clinical prediction of ctDCS treatment outcome. (shrink)

Performance on working memory (WM) tasks may partially be supported by long-term memory (LTM) processing. Hence, brain activation recently being implicated in WM may actually have been driven by (incidental) LTM formation. We examined which brain regions actually support successful WM processing, rather than being confounded by LTM processes, during the maintenance and probe phase of a WM task. We administered a four-pair (faces and houses) associative delayed-match-to-sample (WM) task using event-related fMRI and a subsequent associative recognition LTM task, (...) using the same stimuli. This enabled us to analyze subsequent memory effects for both the WM and the LTM test by contrasting correctly recognized pairs with incorrect pairs for either task. Critically, with respect to the subsequent WM effect, we computed this analysis exclusively for trials that were forgotten in the subsequent LTM recognition task. Hence, brain activity associated with successful WM processing was less likely to be confounded by incidental LTM formation. The subsequent LTM effect, in contrast, was analyzed exclusively for pairs that previously had been correctly recognized in the WM task, disclosing brain regions involved in successful LTM formation after successful WM processing. Results for the subsequent WM effect showed no significantly activated brain areas for WM maintenance, possibly due to an insensitivity of fMRI to mechanisms underlying active WM maintenance. In contrast, a correct decision at WM probe was linked to activation in the “retrieval success network” (anterior and posterior midline brain structures). The subsequent LTM analyses revealed greater activation in left dorsolateral prefrontal cortex and posterior parietal cortex in the early phase of the maintenance stage. No supra-threshold activation was found during the WM probe. Together, we obtained clearer insights in which brain regions support successful WM and LTM without the potential confound of the respective memory system. (shrink)

This paper is concerned with the modeling of neural systems regarded as information processing entities. I investigate the various dynamic regimes that are accessible in neural networks considered as nonlinear adaptive dynamic systems. The possibilities of obtaining steady, oscillatory or chaotic regimes are illustrated with different neural network models. Some aspects of the dependence of the dynamic regimes upon the synaptic couplings are examined. I emphasize the role that the various regimes may play to support information processing abilities. (...) I present an example where controlled transient evolutions in a neural network, are used to model the regulation of motor activities by the cerebellar cortex. (shrink)

Photo ID 72893750 © Rawpixelimages|Dreamstime.com ABSTRACT Solidarity is a concept increasingly employed in bioethics whose application merits further clarity and explanation. Given how vital cooperation and community-level care are to mitigating communicable disease transmission, we use lessons from the COVID-19 pandemic to reveal how solidarity is a useful descriptive and analytical tool for public health scholars, practitioners, and policymakers. Drawing upon an influential framework of solidarity that highlights how solidarity arises from the ground up, we reveal how structural forces can (...) impact the cultivation of solidarity from the top down, particularly through ensuring robust access to important social determinants of health. Public health institutions can support solidarity movements among individuals and communities by adopting a lens of social justice when considering public health priorities and, in turn, promote health equity. INTRODUCTION Over the past two decades, scholars have invoked the concept of solidarity when assessing a wide range of topics in bioethics, from CRISPR-Cas9 technology to organ donation to structural racism.[1] However, the growing literature on solidarity has not fully examined the roles and responsibilities of institutions and governments in fostering solidarity, especially regarding public health measures that implicate entire populations. We argue that it remains unclear how public health institutions should engage with solidarity and how their engagement will affect public health and its ethics. We first take Prainsack and Buyx’ three-tiered framework as an analytical starting point.[2] We then explore how public health institutions can foster solidarity by carefully considering factors that may bolster it on an interpersonal, community, and national scale. We conclude that public health institutions should adopt a lens of social justice to promote solidarity at the interpersonal and community levels, thereby promoting equity in future public health efforts. BACKGROUND Calls for solidarity in bioethics raise longstanding normative questions about the nature and limits of our duties to one another and how to weigh autonomy over considerations of justice.[3] Though the term is diversely applied, Prainsack and Buyx propose a potentially unifying definition in the 2011 Nuffield Council report, “Solidarity: Reflections On An Emerging Concept in Bioethics.” The report defines solidarity as an activity involving “shared practices reflecting a collective commitment to carry financial, social, emotional, and or other ‘costs’ to assist others.” Their conceptualization also includes important features that distinguish solidarity from other values like empathy or altruism: solidarity emphasizes action rather than mere internal feeling and recognition of connection as motivation.[4] Bioethicists have since applied this conceptualization when analyzing issues in public and global health, given that population-level efforts need cooperation from individuals and communities. Prainsack and Buyx further note that solidarity is relevant in bioethics discourses about justice and equity, in support of providing aid to low- and middle-income countries, and as a value exemplified by European welfare states.[5] Other bioethicists have argued that promoting solidarity can contribute to community engagement, partnership with Tribal communities, and global health equity.[6] Most recently, scholars have applied solidarity as a lens to assess the COVID-19 pandemic, highlighting the pitfalls of national mitigation efforts and global disparities in disease outcomes.[7] I. Solidarity at Three Levels It seems impossible to foster solidarity in public health if we cannot identify it in general contexts. Prainsack and Buyx articulate three levels of solidarity: interpersonal solidarity, group solidarity, and legal or contractual codifications of solidarity.[8] They argue that each level inherently informs the one ‘above’ it in a unilateral direction. In other words, solidarity is fundamentally a bottom-up phenomenon. Solidarity among individuals influences group norms, which then have the potential to shape policy and institutional practice.[9] Within the Prainsack and Buyx framework, it would seem nonsensical to posit how solidarity might be expressed vertically or from the “top down.” It appears intuitively odd to imagine how a government entity might ‘be’ in solidarity with a person or group if solidarity requires some cognition about their condition per Prainsack and Buyx’ definition. Some have argued that solidarity does not seem like something that one can impose, as instances of it arise from agents recognizing and acting upon some bond rather than in response to a command. Indeed, people may be rightfully hesitant to engage in solidarity if the official messaging is overly paternalistic or coercive.[10] However, some authors have countered that governments can express solidarity through enacting structural and policy changes, though it is ambiguous how these actions are distinct from a justice-driven approach.[11] If a bottom-up approach is thus the most practical means of achieving policy that reflects solidarity, then it does not add much to public health. Institutions would be ineffective without the population’s initiation of the corresponding social norms. However, we find this conclusion overly pessimistic. Fostering a culture of solidarity to improve public health has potential merit. Prainsack and Buyx’ framework overlooks how public health actors can influence solidarity between individuals and across communities. To clarify, we agree with the view that solidarity is a bottom-up phenomenon. Solidarity may not be able to originate in a top-down fashion, but we suggest that public health institutions can take a more active role in providing the public with accurate information, promoting social justice, and intervening in the social determinants of health. II. The COVID-19 Pandemic as a Case Study Lessons learned from the ongoing COVID-19 pandemic support our argument. The pandemic deepened socioeconomic disparities in the US and hindered access to vital resources such as food, housing, and healthcare.[12] Prainsack recently noted: “[n]ext to the immediate health effects of the virus, poverty and grave inequalities have been the root causes of human suffering during the pandemic.”[13] Prior to the pandemic, many rural and low-income populations lacked reliable access to the internet and devices like laptops or smartphones. This continued lack of access restricts the flow of information and prevents people from accessing telemedicine services.[14] Preexisting social, political, and health inequities worsened health outcomes among many marginalized racial and ethnic groups. It is well-documented that communities of color, including Black, American Indian or Alaska Native, and Latinx populations, had greater COVID-related mortality and morbidity due to the effects of structural racism.[15] Although federal US agencies such as the Centers for Disease Control and Prevention enacted laws that provided safety nets (e.g., the Federal Eviction Moratorium), the majority of such programs have ended, leaving many with little assistance and the threat of further hardship.[16] These disparities are relevant because Prainsack, Buyx, and others note that solidarity arises from agents recognizing and acting on some perceived attainable collective goal(s). Income inequality and disparate access to food, education, and health care may lead people to consider public health goals unattainable. This could limit the desire to work toward those goals collectively.[17] The existing literature on collective action theory supports this intuition. It emphasizes that structural conditions, such as an absence of perceived hope for social change among a group, can lead to low ‘group efficacy’ and little willingness to cooperate, both within and across socioeconomic strata.[18] The pandemic spurred countless messages from public health agencies. The messaging did not recognize or attend to the different material realities and circumstances of the US population. How can people feel comfortable getting vaccinated if they deeply distrust the government, including public health institutions? How can people remain motivated to wear masks and distance themselves if they cannot afford basic necessities and work jobs without adequate pay and leave policies? We ask these questions to illustrate how socioeconomic disparities can marginalize people if they feel ignored, apathetic, or resentful of those better off or those in power whom they perceive to “not be doing enough.” This marginalization precludes the formation of solidarity. There are instances when a population has disparate access to resources and social capital, but solidarity may still emerge from a shared goal or vision for the future. For example, a heterogeneous population living in the same town may come together to protest an environmental injustice that impacts their water supply with the common goal of securing access to safe drinking water. However, many populations in the US failed to recognize shared goals of this kind during the COVID-19 pandemic. A significant minority of the US population was reluctant to acknowledge the severity of COVID-19 infection and thus refused to participate in efforts to mitigate its spread. Even between groups who shared the goal of slowing COVID-19 transmission, the methods were widely debated. Approximately 20 percent of the adult population eligible for vaccination remains unvaccinated.[19] Governmental bodies responsible for disseminating information, coordinating the allocation of resources, and establishing guidelines have a large role in mediating these disagreements and intervening in socioeconomic conditions that impact people's ability and willingness to engage in solidarity. III. Solidarity, Social Justice, and the Role of Public Health Institutions Adopting a lens of social justice provides further insights into how public health actors impact solidarity. Powers and Faden argue that the “foundational moral justification for the social institution of public health is social justice.”[20] Their theory of social justice has two aims. First, it ensures that everyone has a sufficient amount of the six core elements of well-being and that public health institutions are responsible for “adopting policies and creating environments” where all can flourish.[21] Second, public health institutions should distribute resources meant to promote well-being and focus on the “needs of those who are the most disadvantaged.”[22] Public health institutions should enact policies that address injustice. In doing so, public health institutions can seed the opportunity to build solidarity from the bottom up. Equipping individuals and communities with resources will foster cooperation and adherence to policies that require solidarity, such as masking and vaccination. This is consistent with arguments illustrating how institutions such as Tribal governments promote the conditions needed for their group, and especially its most vulnerable members, to flourish.[23] Addressing social determinants of health with a social justice lens will create the circumstances under which more individuals and groups can find common causes and foster solidarity. In the long run, such efforts may result in the establishment of values and practices from the bottom up. There are societal and public health preconditions required before institutions can expect their audience to act in solidarity with one another. Through their great influence over information and resources, public institutions do have the power to impact what values are most widespread. Furthermore, public health may foster trust and hope, which are important psychosocial factors that influence collective action,[24] if policies increase access to resources that promote well-being. Messaging efficacy also depends on the context of public trust, education, and whether the institutions meet one’s basic needs. Disparate messaging across different public institutions may confuse or disillusion individuals. To apply our theory of solidarity to the decision to vaccinate, a policy would be to foster conditions that facilitate access to vaccines and information about vaccine efficacy instead of imposing a top-down mandate without first eliciting public trust. IV. Counterargument Some argue that discordant public health messaging, ineffective government, and inadequate social programs can also bring people together under pressure and foster solidarity. One may argue that the most powerful motivators towards solidarity are strife and disparity, as evidenced throughout history. During the pandemic alone, political struggle and personal hardship inspired solidarity in the US, from individual neighbors helping each other to mutual aid groups forming across communities. We thus do not claim that solidarity is possible only when our government programs and public health institutions are most effective. We instead point out that solidarity can be further hindered when people feel alienated, hopeless, and pitted against each other. CONCLUSION Many competing conceptualizations of solidarity persist in the bioethics literature, and Prainsack and Buyx offer one compelling framework that public health ethicists continue to draw upon.[25] However, their framework fails to acknowledge how public health institutions impact interpersonal and group solidarity. Public health institutions can foster solidarity through actions other than mere messaging, invoking catchphrases like “we are all in this together.” Efforts to address socioeconomic preconditions and alleviate health disparities can cultivate group solidarity. As we saw during the pandemic, cooperation and solidarity go hand-in-hand with disease mitigation efforts; solidarity has clear intrinsic value.[26] As this relationship becomes more apparent, we will continue to see attempts from public health institutions to foster or invoke solidarity. Therefore, public health institutions would be remiss to ignore their role in addressing the social determinants of health. Adopting a social justice lens when planning public health interventions will clarify and strengthen their role in facilitating solidarity. Ultimately, if health disparities continue to persist or widen, it is very hard to imagine how group solidarity can ever be achieved. The widescale adoption of many public health measures needed to promote health and well-being would be conducive to solidarity. - Disclaimer: The opinions expressed are the authors’ and do not represent the views of the NIH, DHHS, or the U.S. government. Funding Disclosure: This work was supported in part by the Intramural Program of the National Institutes of Health Clinical Center. - [1] John J Mulvihill et al., “Ethical Issues of CRISPR Technology and Gene Editing through the Lens of Solidarity,” British Medical Bulletin 122 (2017): 17–29, https://doi.org/10.1093/bmb/ldx002; Ben Saunders, “Altruism or Solidarity? The Motives for Organ Donation and Two Proposals,” Bioethics 26, no. 7 (September 2012): 376–81, https://doi.org/10.1111/j.1467-8519.2012.01989.x; -Vanessa Y Hiratsuka, “SPECIAL REPORT: A Critical Moment in Bioethics: Reckoning with Anti-Black Racism through Intergenerational Dialogue A Call for Solidarity in Bioethics: Confronting Anti-Black Racism Together,” 2022, https://doi.org/10.1002/hast.1380. [2] Prainsack and Buyx, Solidarity: Reflections on an Emerging Concept in Bioethics London: Nuffield Council on Bioethics, 2011; Prainsack and Buyx, “Solidarity in Contemporary Bioethics--towards a New Approach.” Bioethics 26, no. 7 (September 2012): 343–50. https://doi.org/10.1111/J.1467-8519.2012.01987.X. [3] Bob Simpson, “A ‘We’ Problem for Bioethics and the Social Sciences: A Response to Barbara Prainsack,” Science, Technology, & Human Values 43, no. 1 (January 12, 2018): 45–55, https://doi.org/10.1177/0162243917735899. [4] Barbara Prainsack and Alena Buyx, Solidarity: Reflections on an Emerging Concept in Bioethics (London: Nuffield Council on Bioethics, 2011). [5] Barbara Prainsack and Alena Buyx, “Solidarity in Contemporary Bioethics--towards a New Approach,” Bioethics 26, no. 7 (September 2012): 343–50, https://doi.org/10.1111/J.1467-8519.2012.01987.X. [6] Bridget Pratt, Phaik Yeong Cheah, and Vicki Marsh, “Solidarity and Community Engagement in Global Health Research,” The American Journal of Bioethics : AJOB 20, no. 5 (May 3, 2020): 43–56, https://doi.org/10.1080/15265161.2020.1745930; Sara Chandros Hull, F. Leah Nez (Diné), and Juliana M. Blome, “Solidarity as an Aspirational Basis for Partnership with Tribal Communities,” The American Journal of Bioethics 21, no. 10 (October 3, 2021): 14–17, https://doi.org/10.1080/15265161.2021.1965258; Mbih J. Tosam et al., “Global Health Inequalities and the Need for Solidarity: A View from the Global South,” Developing World Bioethics 18, no. 3 (September 1, 2018): 241–49, https://doi.org/10.1111/DEWB.12182. [7] Peter West-Oram, “Solidarity Is for Other People: Identifying Derelictions of Solidarity in Responses to COVID-19,” Journal of Medical Ethics 47, no. 2 (February 1, 2021): 65–68, https://doi.org/10.1136/MEDETHICS-2020-106522; Barbara Prainsack, “Solidarity in Times of Pandemics,” Democratic Theory 7, no. 2 (December 1, 2020): 124–33, https://doi.org/10.3167/DT.2020.070215; F. Marijn Stok et al., “Social Inequality and Solidarity in Times of COVID-19,” International Journal of Environmental Research and Public Health 18, no. 12 (June 2, 2021), https://doi.org/10.3390/IJERPH18126339; Ming Jui Yeh, “Solidarity in Pandemics, Mandatory Vaccination, and Public Health Ethics,” American Journal of Public Health 112, no. 2 (February 1, 2022): 255–61, https://doi.org/10.2105/AJPH.2021.306578; Barbara Prainsack, “Beyond Vaccination Mandates: Solidarity and Freedom During COVID-19.,” Am J Public Health 112, no. 2 (February 1, 2022): 232–33, https://doi.org/10.2105/AJPH.2021.306619. [8] Prainsack and Buyx, Solidarity: Reflections on an Emerging Concept in Bioethics London: Nuffield Council on Bioethics, 2011; Prainsack and Buyx, “Solidarity in Contemporary Bioethics--towards a New Approach.” Bioethics 26, no. 7 (September 2012): 343–50. https://doi.org/10.1111/J.1467-8519.2012.01987.X. [9] Prainsack and Buyx, Solidarity: Reflections on an Emerging Concept in Bioethics London: Nuffield Council on Bioethics, 2011; Prainsack and Buyx, “Solidarity in Contemporary Bioethics--towards a New Approach.” Bioethics 26, no. 7 (September 2012): 343–50. https://doi.org/10.1111/J.1467-8519.2012.01987.X. [10] Yeh, “Solidarity in Pandemics, Mandatory Vaccination, and Public Health Ethics”; Prainsack, “Beyond Vaccination Mandates: Solidarity and Freedom During COVID-19.” [11] Ho, Anita, and Iulia Dascalu. "Relational solidarity and COVID-19: an ethical approach to disrupt the global health disparity pathway." Global Bioethics 32, no. 1 (2021): 34-50; West-Oram, Peter. "Solidarity is for other people: identifying derelictions of solidarity in responses to COVID-19." Journal of Medical Ethics 47, no. 2 (2021): 65-68. [12] Monica Webb Hooper, Anna María Nápoles, and Eliseo J. Pérez-Stable, “COVID-19 and Racial/Ethnic Disparities,” JAMA 323, no. 24 (June 23, 2020): 2466, https://doi.org/10.1001/jama.2020.8598. [13] Prainsack, Barbara. “Beyond Vaccination Mandates: Solidarity and Freedom During COVID-19.” Am J Public Health 112, no. 2 (February 1, 2022): 232–33. https://doi.org/10.2105/AJPH.2021.306619. [14] Camille A Clare, “Telehealth and the Digital Divide as a Social Determinant of Health during the COVID-19 Pandemic,” Network Modeling Analysis in Health Informatics and Bioinformatics 10 (2021): 26, https://doi.org/10.1007/s13721-021-00300-y. [15] Patrick Nana-Sinkam et al., “Health Disparities and Equity in the Era of COVID-19,” Journal of Clinical and Translational Science 5, no. 1 (March 16, 2021): e99, https://doi.org/10.1017/cts.2021.23. [16] Kathryn M Leifheit et al., “Expiring Eviction Moratoriums and COVID-19 Incidence and Mortality,” American Journal of Epidemiology 190, no. 12 (December 1, 2021): 2503–10, https://doi.org/10.1093/aje/kwab196. [17] Barbara Prainsack, “Solidarity in Times of Pandemics,” Democratic Theory 7, no. 2 (December 1, 2020): 124–33, https://doi.org/10.3167/DT.2020.070215 [18] Maximilian Agostini and Martijn van Zomeren, “Toward a Comprehensive and Potentially Cross-Cultural Model of Why People Engage in Collective Action: A Quantitative Research Synthesis of Four Motivations and Structural Constraints.,” Psychological Bulletin 147, no. 7 (July 2021): 667–700, https://doi.org/10.1037/bul0000256. [19] Department of Health and Human Services (HHS) Centers for Disease Control and Prevention (HHS/CDC), “COVID Data Tracker,” 2023, https://covid.cdc.gov/covid-data-tracker. [20] Powers, Madison, and Ruth Faden. Social Justice: The Moral Foundation of Public Health and Health Policy. 1st editio. New York: Oxford Press, 2006, p. 9 and Chapter 4 [21] Powers and Faden, Social Justice: The Moral Foundation of Public Health and Health Policy; Madison Powers and Ruth Faden, Structural Injustice: Power, Advantage, and Human Rights (New York: Oxford University Press, 2019). [22] Powers, Madison, and Ruth Faden. Social Justice: The Moral Foundation of Public Health and Health Policy. 1st editio. New York: Oxford Press, 2006, p. 10 [23] Bobby Saunkeah et al., “Extending Research Protections to Tribal Communities,” The American Journal of Bioethics 21, no. 10 (October 3, 2021): 5–12, https://doi.org/10.1080/15265161.2020.1865477. [24] Agostini and van Zomeren, “Toward a Comprehensive and Potentially Cross-Cultural Model of Why People Engage in Collective Action: A Quantitative Research Synthesis of Four Motivations and Structural Constraints.” [25] Prainsack and Buyx, Solidarity: Reflections on an Emerging Concept in Bioethics. [26] Ruth Chadwick, “COVID‐19 and the Possibility of Solidarity,” Bioethics 34, no. 7 (September 8, 2020): 637–637, https://doi.org/10.1111/bioe.12813. (shrink)

A complex brain network, centered on the hippocampus, supports episodic memories throughout their lifetimes. Classically, upon memory encoding during active behavior, hippocampal activity is dominated by theta oscillations (6-10Hz). During inactivity, hippocampal neurons burst synchronously, constituting sharp waves, which can propagate to other structures, theoretically supporting memory consolidation. This 'two-stage' model has been updated by new data from high-density electrophysiological recordings in animals that shed light on how information is encoded and exchanged between hippocampus, neocortex and subcortical structures such (...) as the striatum. Cell assemblies (tightly related groups of cells) discharge together and synchronize across brain structures orchestrated by theta, sharp waves and slow oscillations, to encode information. This evolving dynamical schema is key to extending our understanding of memory processes. (shrink)

In the first section of the article, we examine some recent criticisms of the connectionist enterprise: first, that connectionist models are fundamentally behaviorist in nature (and, therefore, non-cognitive), and second that connectionist models are fundamentally associationist in nature (and, therefore, cognitively weak). We argue that, for a limited class of connectionist models (feed-forward, pattern-associator models), the first criticism is unavoidable. With respect to the second criticism, we propose that connectionist modelsare fundamentally associationist but that this is appropriate for building models (...) of human cognition. However, we do accept the point that there are cognitive capacities for which any purely associative model cannot provide a satisfactory account. The implication that we draw from is this is not that associationist models and mechanisms should be scrapped, but rather that they should be enhanced.In the next section of the article, we identify a set of connectionist approaches which are characterized by “active symbols” — recurrent circuits which are the basis of knowledge representation. We claim that such approaches avoid criticisms of behaviorism and are, in principle, capable of supporting full cognition. In the final section of the article, we speculate at some length about what we believe would be the characteristics of a fully realized active symbol system. This includes both potential problems and possible solutions (for example, mechanisms needed to control activity in a complex recurrent network) as well as the promise of such systems (in particular, the emergence of knowledge structures which would constitute genuine internal models). (shrink)

Imposition of lockdown restrictions during the coronavirus disease 2019 (COVID-19) pandemic was sudden and unprecedented and dramatically changed the life of many people, as they were confined to their homes with reduced movement and access to fitness training facilities. Studies have reported significant associations between physical inactivity, sedentary behavior, and common mental health problems. This study investigated relations between participants’ reports of change in physical activity (PA; i.e., Reduced PA, Unchanged PA, or Increased PA) and levels of anxiety and depression (...) symptoms during the COVID-19 pandemic lockdown in Norway in the time period from March 12, 2020 to June 15, 2020. The relations between age and gender and levels of anxiety and depression symptoms as well as how different levels of resilience influenced the relation between changes in PA and levels of anxiety and depression symptoms were also investigated. A cross-sectional survey design was used. Participants (N= 1,314; females = 31%) were members of an endurance sports organization aged between 18 and 81 years (M= 49 years;SD= 11.50 years). Participants completed the Resilience Scale for Adults and the Hospital Anxiety and Depression Scale and reported their changes in PA after lockdown restrictions were implemented on March 12, 2020. Regression analysis, independent samplest-test, and two-way multivariate analysis of variance were conducted. Reduced PA was associated with a higher risk of anxiety and depression symptoms. Younger participants in Reduced PA and Unchanged PA subgroups scored significantly higher on levels of anxiety symptoms and significantly higher on depression symptoms in Unchanged PA subgroup. Females in Unchanged PA and Increased PA subgroups scored significantly higher on levels of anxiety symptoms, whereas no gender differences were found for depression symptoms. The main and interaction effects of change in PA and resilience were significantly associated with depression symptoms. For anxiety symptoms, only the main effect of resilience, but not PA, and the interaction effect were significant. Results further showed that resilience was an important factor that influenced the levels of change in PA. High levels of resilience were associated with lower anxiety and depression symptoms in Reduced, Unchanged, and Increased PA subgroups during the COVID-19 lockdown. Promoting PA while boosting resilience factors such as confidence in own ability and drawing on the social support of even reduced social networks or connections while under lockdown can protect against common mental health problems. (shrink)

A social network is a web that integrates multiple levels of interindividual social relationships and has direct associations with an individual’s health and well-being. Previous research has mainly focused on how brain and social network structures act on each other and on how the brain supports the spread of ideas and behaviors within social networks. The structure of the social network is correlated with activity in the amygdala, which links decoding and interpreting social signals and social values. The structure (...) also relies on the mentalizing network, which is central to an individual’s ability to infer the mental states of others. Network functional properties depend on multilayer brain-social networks, indicating that information transmission is supported by the default mode system, the valuation system, and the mentalizing system. From the perspective of neuroendocrinology, overwhelming evidence shows that variations in oxytocin, β-endorphin and dopamine receptor genes, including oxytocin receptor, mu opioid receptor 1 and dopamine receptor 2, predict an individual’s social network structure, whereas oxytocin also contributes to improved transmission of emotional and behavioral information from person to person. Overall, previous studies have comprehensively revealed the effects of the brain, endocrine system, and genes on social networks. Future studies are required to determine the effects of cognitive abilities, such as memory, on social networks, the characteristics and neural mechanism of social networks in mental illness and how social networks change over time through the use of longitudinal methods. (shrink)

It was meaningful to predict the customers' decision-making behavior in the field of market. However, due to individual differences and complex, non-linear natures of the electroencephalogram signals, it was hard to classify the EEG signals and to predict customers' decisions by using traditional classification methods. To solve the aforementioned problems, a recurrent t-distributed stochastic neighbor embedding neural network was proposed in current study to classify the EEG signals in the designed brand extension paradigm and to predict the participants' decisions. The (...) recurrent t-SNE neural network contained two steps. In the first step, t-SNE algorithm was performed to extract features from EEG signals. Second, a recurrent neural network with long short-term memory layer, fully connected layer, and SoftMax layer was established to train the features, classify the EEG signals, as well as predict the cognitive performance. The proposed network could give a good prediction with accuracy around 87%. Its superior in prediction accuracy as compared to a recurrent principal component analysis network, a recurrent independent component correlation algorithm [independent component analysis ] network, a t-SNE support vector machine network, a t-SNE back propagation neural network, a deep LSTM neural network, and a convolutional neural network were also demonstrated. Moreover, the performance of the proposed network with different activated channels were also investigated and compared. The results showed that the proposed network could make a relatively good prediction with only 16 channels. The proposed network would become a potentially useful tool to help a company in making marketing decisions and to help uncover the neural mechanisms behind individuals' decision-making behavior with low cost and high efficiency. (shrink)

This paper examines informal networks that support the British Asian business community. Ethnic communities have been crucial to facilitating the economic development of their migrant members, as they make the transition from economic refugees to citizens. The basis of this informal support is the notion of social capital offered to kinsmen who arrived with finite resources. However, as successive generations have become more integrated with the wider community reliance on these resources is forecast to decrease. Research has (...) shown that subsequent Asian generations are developing complex relations in their attitudes and reliance towards their ethnic community (Janjuha-Jivraj and Woods, 2002) it is still an area that is very active in providing crucial informal business support. There is however, a distinct difference in attitudes between first and second generations in terms of accepting business support from the ethnic community. This issue is further compounded by difficulties among external support agencies in penetrating ethnic businesses. This leads to the following questions: • What forms of social capital are evident and how important are they in sustaining relationships within the religious-ethnic community? • How crucial is the ethnic community in providing an infrastructure to offer support. This paper is based on a network of businesses that are members of a sub-group across Greater London. It is anticipated that the findings will help to unravel the impact of migratory bonds on community members. This in turn will provide useful information for service providers when considering how to successfully target ethnic businesses. (shrink)

Observers generally assume that firms which engage in lobbying know what they want. Business—government relations and especially the corporate political activities of network operators during the basic telecommunication negotiations of the World Trade Organization present a slightly different picture. European monopoly providers benefited from the old international regime and initially ignored trade discussions in their sector. In the course of negotiations, however, they became part of a three-level game, which obliged them to consider national, European, and multilateral objectives simultaneously. In (...) the course of these complex negotiations, their preferences evolved. Because governments advanced independently on the liberalization project, companies adapted their policy stances from reluctance to support for the negotiations. This article thus cautions against treatments of lobbying that consider preferences as exogenously given. (shrink)

Over 100 million Americans suffer from chronic pain, which causes more disability than any other medical condition in the United States at a cost of $560–$635 billion per year. Opioid analgesics are frequently used to treat CP. However, long term use of opioids can cause brain changes such as opioid-induced hyperalgesia that, over time, increase pain sensation. Also, opioids fail to treat complex psychological factors that worsen pain-related disability, including beliefs about and emotional responses to pain. Cognitive behavioral therapy can (...) be efficacious for CP. However, CBT generally does not focus on important factors needed for long-term functional improvement, including attainment of personal goals and the psychological flexibility to choose responses to pain. Acceptance and Commitment Therapy has been recognized as an effective, non-pharmacologic treatment for a variety of CP conditions. However, little is known about the neurologic mechanisms underlying ACT. We conducted an ACT intervention in women with chronic musculoskeletal pain. Functional magnetic resonance imaging data were collected pre- and post-ACT, and changes in functional connectivity were measured using Network-Based Statistics. Behavioral outcomes were measured using validated assessments such as the Acceptance and Action Questionnaire, the Chronic Pain Acceptance Questionnaire, the Center for Epidemiologic Studies Depression Scale, and the NIH Toolbox Neuro-QoLTM scales. Results suggest that, following the 4-week ACT intervention, participants exhibited reductions in brain activation within and between key networks including self-reflection, emotion, and cognitive control. These changes in connectivity strength were correlated with changes in behavioral outcomes including decreased depression and pain interference, and increased participation in social roles. This study is one of the first to demonstrate that improved function across the DMN, SN, and FPN may drive the positive outcomes associated with ACT. This study contributes to the emerging evidence supporting the use of neurophysiological indices to characterize treatment effects of alternative and complementary mind-body therapies. (shrink)

The energy sector contributes approximately two-thirds of global greenhouse gas emissions. In this context, the sector must adapt to new supply and demand networks for all future energy sources. The ongoing transformation in the European energy field is driven by the ambition of the European Union to reach the climate objectives set for 2030. The main actions are increasing renewable energy production, adapting transition fuels like natural gas to reduce emissions, improving energy efficiency across all economic sectors, prioritizing building, (...) transportation, and industry, developing Carbon Capture and Storage technologies, and ensuring universal access to clean and affordable energy. The significant changes envisaged in the energy sector to increase renewable energy production and consumption require improved integration and more use of predictive tools to support stakeholders' decision-making processes. This article presents a case study to assess the performance of predictive models based on a Feed-Forward Neural Network architecture that employ Root Mean Squared Propagation as their optimization function in terms of choosing the most appropriate activation function for this kind of data input and output. The training and testing phases of the models use data about building energy consumption. The lowest training time and Root Mean Square Error values were similar for Rectified Linear Unit and Tanh activation functions. The model with the Rectified linear Unit activation function performed best. (shrink)

In contrast to the traditional relational semiotics, biosemiotics decisively deviates towards dynamical aspects of signs at the evolutionary and developmental time scales. The analysis of sign dynamics requires constructivism to explain how new components such as subagents, sensors, effectors, and interpretation networks are produced by developing and evolving organisms. Semiotic networks that include signs, tools, and subagents are multilevel, and this feature supports the plasticity, robustness, and evolvability of organisms. The origin of life is described here as the (...) emergence of simple self-constructing semiotic networks that progressively increased the diversity of their components and relations. Primitive organisms have no capacity to classify and track objects; thus, we need to admit the existence of proto-signs that directly regulate activities of agents without being associated with objects. However, object recognition and handling became possible in eukaryotic species with the development of extensive rewritable epigenetic memory as well as sensorial and effector capacities. Semiotic networks are based on sequential and recursive construction, where each step produces components that are needed for the following steps of construction. Construction is not limited to repair and reproduction of what already exists or is unambiguously encoded, it also includes production of new components and behaviors via learning and evolution. A special case is the emergence of new levels of organization known as metasystem transition. Multilevel semiotic networks reshape the phenotype of organisms by combining a mosaic of features developed via learning and evolution of cooperating and/or conflicting subagents. (shrink)

Belief polarization is said to occur when two people respond to the same evidence by updating their beliefs in opposite directions. This response is considered to be “irrational” because it involves contrary updating, a form of belief updating that appears to violate normatively optimal responding, as for example dictated by Bayes' theorem. In light of much evidence that people are capable of normatively optimal behavior, belief polarization presents a puzzling exception. We show that Bayesian networks, or Bayes nets, can (...) simulate rational belief updating. When fit to experimental data, Bayes nets can help identify the factors that contribute to polarization. We present a study into belief updating concerning the reality of climate change in response to information about the scientific consensus on anthropogenic global warming. The study used representative samples of Australian and U.S. participants. Among Australians, consensus information partially neutralized the influence of worldview, with free-market supporters showing a greater increase in acceptance of human-caused global warming relative to free-market opponents. In contrast, while consensus information overall had a positive effect on perceived consensus among U.S. participants, there was a reduction in perceived consensus and acceptance of human-caused global warming for strong supporters of unregulated free markets. Fitting a Bayes net model to the data indicated that under a Bayesian framework, free-market support is a significant driver of beliefs about climate change and trust in climate scientists. Further, active distrust of climate scientists among a small number of U.S. conservatives drives contrary updating in response to consensus information among this particular group. (shrink)

PDP networks that use nonmonotonic activation functions often produce hidden unit regularities that permit the internal structure of these networks to be interpreted (Berkeley et al., 1995; McCaughan, 1997; Dawson, 1998). In particular, when the responses of hidden units to a set of patterns are graphed using jittered density plots, these plots organize themselves into a set of discrete stripes or bands. In some cases, each band is associated with a local interpretation. On the basis of these observations, (...) Berkeley (2000) has suggested that these bands are both subsymbolic and symbolic in nature, and has used the analysis of one network to support the claim that there are fewer differences between symbols and subsymbols than one might expect. We suggest below that this conclusion is premature. First, in many cases the local interpretation of each band is difficult to relate to the interpretation of a network's response; a more appropriate relationship only emerges when a band associated with one hidden unit is considered in the context of other bands associated with other hidden units (i.e., interpretations of distributed representations are more useful than interpretations of local representations). Second, the content that a band designates to an external observer (i.e., the interpretation assigned to a band by the researcher) can be quite different from the content that a band designates to the output units of the network itself.. We use two different network simulations – including the one described by Berkeley (2000) – to illustrate these points. We conclude that current evidence involving interpretations of nonmonotonic PDP networks actually illustrates the differences between symbolic and subsymbolic processing. (shrink)

In the modern scientific literature, there are many reports about the successful application of neural network technologies for solving complex applied problems, in particular, for modeling the urban real estate market. There are neural network models that can perform mass assessment of real estate objects taking into account their construction and operational characteristics. However, these models are static because they do not take into account the changing economic situation over time. Therefore, they quickly become outdated and need frequent updates. In (...) addition, if they are designed for a specific city, they are not suitable for other cities. On the other hand, there are several dynamic models taking into account the overall state of the economy and designed to predict and study the overall price situation in real estate markets. Such dynamic models are not intended for mass real estate appraisals. The aim of this article is to develop a methodology and create a complex model that has the properties of both static and dynamic models. Moreover, our comprehensive model should be suitable for evaluating real estate in many cities at once. This aim is achieved since our model is based on a neural network trained on examples considering both construction and operational characteristics, as well as geographical and environmental characteristics, along with time-changing macroeconomic parameters that describe the economic state of a specific region, country, and the world. A set of examples for training and testing the neural network were formed on the basis of statistical data of real estate markets in a number of Russian cities for the period from 2006 to 2020. Thus, many examples included the data relating to the periods of the economic calm for Russia, along with the periods of crisis, recovery, and growth of the Russian and global economy. Due to this, the model remains relevant with the changes of the international economic situation and it takes into account the specifics of regions. The model proved to be suitable for solving the following tasks: industrial economic analysis, company strategic and operational management, analytical and consulting support of investment, and construction activities of professional market participants. The model can also be used by government agencies authorized to conduct public cadastral assessment for calculating property taxes. (shrink)

This study attempts to analyse the relationship between two key psychological variables associated with performance in sports - Self-Determined Motivation and Competitive Anxiety - through Bayesian Networks analysis. We analysed 674 university students/athletes from 44 universities that competed at the University Games in México, with an average age of 21 years (SD = 2.07) and with a mean of 8.61 years’ (SD = 5.15) experience in sports. Methods: Regarding the data analysis, first a CHAID algorithm was carried out to (...) determine the dependence links between variables, and then a Bayesian networks was developed. The validation of the BN revealed AUC values ranging from 0.5 to 0.92. Subsequently, various instantiations were performed with hypothetical values applied to the “bottom” variables. Results showed two probability trees that have extrinsic motivation and amotivation at the top, while the anxiety/activation due to worries about performance was at the bottom of the probabilities. The instantiations carried out support the existence of these probabilistic relationships, demonstrating their scarce influence on anxiety about competition generated by the intrinsic motivation, and the complex probabilistic effect of introjected and identified regulation regarding the appearance of anxiety due to worry about performance. (shrink)

Many kinds of creativity result from combination of mental representations. This paper provides a computational account of how creative thinking can arise from combining neural patterns into ones that are potentially novel and useful. We defend the hypothesis that such combinations arise from mechanisms that bind together neural activity by a process of convolution, a mathematical operation that interweaves structures. We describe computer simulations that show the feasibility of using convolution to produce emergent patterns of neural activity that can (...) class='Hi'>support cognitive and emotional processes underlying human creativity. (shrink)

MVi is actively engaged with the Bounorng, Kouy, Stieng, Kreung, Prov, Laak, and Kavet communities in the provinces of Mondulkiri, Stung Treng, and Kratie. Over the years, MVi has implemented three strategic plans since 2006, focusing on supporting indigenous and rural communities in these three provinces. The strategic plan for the period 2023–2027 is designed to enhance the livelihoods and economic conditions of indigenous and vulnerable communities. This plan prioritizes four key areas: climate change, natural resource management, modern agriculture production (...) and market, and social accountability. Supporting the establishment and functionality of sub-national networks is not only a core value of MVi but also a strategic approach. MVi actively facilitates the formation of sub-national networks, including the indigenous youth network, indigenous women's network on NRM, and youth/child network on CEFM. These networks are crucial in promoting self-reliance and addressing specific issues. The performances of indigenous youths and women are evaluated based on their understanding of roles and responsibilities, dissemination of youth's roles in natural resource management, participation in trainings and seminars, organization of regular meetings, coordination with community leaders for various meetings and events, mobilization of youth members to address NRM issues, implementation of plans to protect natural resources, integration of NRM plans into commune investment plans, advocacy for NRM issues with networks and decision-makers, and collaboration with other communities for NRM discussions and actions. This paper aims to guide NGO staff on how to assess the performance of sub-national community networks focusing on natural resource management. (shrink)

Based on the theoretical analysis of self-consciousness concepts, we hypothesized that the spatio-temporal pattern of functional connectivity within the default-mode network (DMN) should persist unchanged across a variety of different cognitive tasks or acts, thus being task-unrelated. This supposition is in contrast with current understanding that DMN activated when the subjects are resting and deactivated during any attention-demanding cognitive tasks. To test our proposal, we used, in retrospect, the results from our two early studies ([Fingelkurts, 1998] and [Fingelkurts et al., (...) 2003]). In both studies for the majority of experimental trails we indeed found a constellation of operationally synchronized cortical areas (indexed as DMN) that was persistent across all studied experimental conditions in all subjects. Furthermore, we found three major elements comprising this DMN: two symmetrical occipito-parieto-temporal and one frontal spatio-temporal patterns. This new data directly supports the notion that DMN has a specific functional connotation – it provides neurophysiologic basis for self-processing operations, namely first-person perspective taking and an experience of agency. (shrink)

Emotional peer support systems have benefits for student-student relationships and allow for children and adolescents' participation in schools. For students with specific educational needs and disabilities, positive relationships seem to be more difficult to attain and these students are more vulnerable to suffer negative peer experiences such as bullying and social exclusion. Systems in which peers can show helpful behavior are beneficial for schools in order to create a positive, supportive climate. Emotional peer support entails social interaction through (...) emotional or practical help based on what these peers have in common and many times with benefits for both. This systematic review identified interventions of emotional peer support in schools for students with SEND. Twenty-three studies were identified that involved four types of befriending: circle of friends, peer buddying, peer networks, and social lunch clubs. Studies reported mainly positive outcomes for both focus students and peer supporters in terms of increased social interaction and social acceptance, as well as enhanced self-esteem and empathy on the individual level. Further bonding of the students by friendship was also perceived, but more precise data is required to draw further conclusions. Support by the school as an institution, the specific role of the teacher, and family participation are important factors related to the impact of peer support systems. Information on these aspects was scarce, and it is recommended to include variables of this nature in future research. Intervention descriptions revealed students' active participation through suggestions for activities, however their involvement in organizing the systems was limited. More research is needed to learn about the opportunities of emotional peer support to improve student-student relationships including the active involvement of the peers themselves in this support. (shrink)

Understanding spoken words involves a rapid mapping from speech to conceptual representations. One distributed feature-based conceptual account assumes that the statistical characteristics of concepts’ features—the number of concepts they occur in and likelihood of co-occurrence —determine conceptual activation. To test these claims, we investigated the role of distinctiveness/sharedness and correlational strength in speech-to-meaning mapping, using a lexical decision task and computational simulations. Responses were faster for concepts with higher sharedness, suggesting that shared features are facilitatory in tasks like lexical decision (...) that require access to them. Correlational strength facilitated responses for slower participants, suggesting a time-sensitive co-occurrence-driven settling mechanism. The computational simulation showed similar effects, with early effects of shared features and later effects of correlational strength. These results support a general-to-specific account of conceptual processing, whereby early activation of shared features is followed by the gradual emergence of a specific target representation. (shrink)

The prevalence of Clinical ethics support services is increasing. Yet, questions about what quality of CES entails and how to foster the quality of CES remain. This paper describes the development of a national network, which aimed to conceptualize and foster the quality of CES in the Netherlands simultaneously. Our methodology was inspired by a responsive evaluation approach which shares some of our key theoretical presuppositions of CES. A responsive evaluation methodology engages stakeholders in developing quality standards of a (...) certain practice, instead of evaluating a practice by predefined standards. In this paper, we describe the relationship between our theoretical viewpoint on CES and a responsive evaluation methodology. Then we describe the development of the network and focus on three activities that exemplify our approach. In the discussion, we reflect on the similarities and differences between our approach and other international initiatives focusing on the quality of CES. (shrink)

With complex buyer-driven global production networks and a labour-intensive manufacturing process, the fashion industry has become a focal point for debates on the social responsibility of business. Utilising an interview methodology with influential actors from seven export garment manufacturers in Sri Lanka, we explore the situated knowledge at one nodal point of the production network. We conceptualise factory management perspectives on the implementation of corporate social responsibility in terms of the strategic balancing of ethical considerations against the commercial pressures (...) of cost and lead time. Factory managers framed CSR in terms of compliance, rather than going above and beyond regulatory requirements; seeing it as a strategic competitive imperative and less a developmental mechanism. Sri Lankan manufacturers maintain that they have benefitted from a unique combination of factors, including strict national labour laws, an educated workforce, the characteristics of the garments produced, industrial upgrading, and long-term non-adversarial buyer–supplier relationships, which they argue has supported the establishment and maintenance of CSR practices. The paper thus provides managerial implications that relate CSR activities to CSR outcomes which include both reputational and production benefits. Such insights will be of strategic relevance for lead retail buyers as well as apparel producers keen to invest in CSR to partly mitigate against increasing price-based competition. (shrink)

Building on the content, developmental, and neurological evidence that there are numerous parallels between waking cognition and dreaming, this article argues that the likely neural substrate that supports dreaming, which was discovered through converging lesion and neuroimaging studies, may be a subsystem of the waking default network, which is active during mind wandering, daydreaming, and simulation. Support for this hypothesis would strengthen the case for a more general neurocognitive theory of dreaming that starts with established findings and concepts (...) derived from studies of waking cognition and neurocognition. If this theory is correct, then dreaming may be the quintessential cognitive simulation because it is often highly complex, often includes a vivid sensory environment, unfolds over a duration of a few minutes to a half hour, and is usually experienced as real while it is happening. (shrink)

Crowdfunding entails small funds or contributions collected from the public to support and develop certain services or products. It has been widely adopted as an alternative method to fund social, cultural, and technological projects. Crowdfunding platforms can capitalize the social and digital networks, making them more efficient in targeting funders with minimum operational costs. The emergence of crowdfunding platforms as social information systems attracts researchers and academicians to study their increasing acceptance. In complement to qualitative and big-data analyses, (...) behavioral models can offer robust insights into why individuals like to participate in the activities generated on these platforms. Prior research focuses on the user's acceptance of these platforms, but less attention has been given to users' engagement in crowdfunding-based social welfare projects. The study highlights people's crowdfunding intentions to fund social welfare projects based on the elaboration likelihood model. The study hypothesizes argument quality and technical advantage as central signals and shared value and reputation as peripheral signals, where outcome efficacy and social consciousness directly affect intentions to participate and moderate the relationship between signals and intentions. We collect data from 467 potential donors from China's 30 online crowdfunding platforms. The results indicate a more significant peripheral route effect on donation participation in social welfare crowdfunding. Social consciousness significantly predicts donation intentions where outcome efficacy and social consciousness strengthen the relationship between argument quality, shared values, and donation intentions to participate in socially responsible crowdfunding. The study provides implications for social collaboration for welfare projects through these platforms in light of these dynamic factors. (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 (...) class='Hi'>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)

This article discusses how pre-Genocide foreign missionary activity prepared the way for relief and existential support during and after the Armenian Genocide of 1915–1921. Examples are drawn from American, British, and German Protestant missionary organisations, especially the American Board of Commissioners for Foreign Missions, the Turkish Missions Aid Society or Bible Lands Missions Aid Society, and the Christlicher Hilfsbund im Orient. These agencies developed missionary and relief methods and transnational networks which were utilised by the Action Chrétienne en (...) Orient and other twentieth-century mission agencies in their work among Armenian communities. (shrink)

Recently, we proposed a fundamental subdivision of the human cortex into two complementary networks—an “extrinsic” one which deals with the external environment, and an “intrinsic” one which largely overlaps with the “default mode” system, and deals with internally oriented and endogenous mental processes. Here we tested this hypothesis by contrasting decision making under external and internally-derived conditions. Subjects were presented with an external cue, and were required to either follow an external instruction or to ignore it and follow a (...) voluntary decision process . Our results show that a well defined component of the intrinsic system—the right inferior parietal cortex—was preferentially activated during the “free-will” condition. Importantly, this activity was significantly higher than the base-line resting state. The results support a self-related role for the intrinsic system and provide clear evidence for both hemispheric and regional specialization in the human intrinsic system. (shrink)

Operating universities under pandemic conditions is a complex undertaking. The Artificial University responds to this need. TAU is a configurable, open-source computer simulation of a university using a contact network based on publicly available information about university classes, residences, and activities. This study evaluates health outcomes for an array of interventions and testing protocols in an artificial university of 6,500 students, faculty, and staff. Findings suggest that physical distancing and centralized contact tracing are most effective at reducing infections, but there (...) is a tipping point for compliance below which physical distancing is less effective. If student compliance is anything short of high, it helps to have separate buildings for quarantining infected students, thereby gracefully increasing compliance. Hybrid in-person and online classes and closing fitness centers do not significantly change cumulative infections but do significantly decrease the number of the infected at any given time, indicating strategies for “flattening the curve” to protect limited resources. Supplementing physical distancing with centralized contact tracing decreases infected individuals by an additional 14%; boosting frequency of testing for student-facing staff yields a further 7% decrease. A trade-off exists between increasing the sheer number of infection tests and targeting testing for key nodes in the contact network. There are significant advantages to getting and acting on test results quickly. The costs and benefits to universities of these findings are discussed. Artificial universities can be an important decision support tool for universities, generating useful policy insights into the challenges of operating universities under pandemic conditions. (shrink)

Isolated feedforward networks (FFNs) of spiking neurons have been studied extensively for their ability to propagate transient synchrony and asynchronous firing rates, in the presence of activity independent synaptic background noise (Diesmann et al., 1999; van Rossum et al., 2002). In a biologically realistic scenario, however, the FFN should be embedded in a recurrent network, such that the activity in the FFN and the network activity may dynamically interact. Previously, transient synchrony propagating in an FFN was found to destabilize (...) the dynamics of the embedding network (Mehring et al., 2003). Here, we show that by modeling synapses as conductance transients, rather than current sources, it is possible to embed and propagate transient synchrony in the FFN, without destabilizing the background network dynamics. However, the network activity has a strong impact on the type of activity that can be propagated in the embedded FFN. Global synchrony and high firing rates in the embedding network prohibit the propagation of both, synchronous and asynchronous spiking activity. In contrast, asynchronous low-rate network states support the propagation of both, synchronous spiking and asynchro- nous, but only low firing rates. In either case, spiking activity tends to synchronize as it propagates, challenging the feasibility to transmit information in asynchronous firing rates. Finally, asynchronous network activity allows to embed more than one FFN, with the amount of cross talk depending on the degree of overlap in the FFNs. This opens the possibility of computational mechanisms using transient synchrony among the activities in multiple FFNs. (shrink)

Built in Greenwich in 1675–1676, the Royal Observatory was situated outside the capital but was deeply enmeshed within its knowledge networks and communities of practice. Scholars have tended to focus on the links cultivated by the Astronomers Royal within scholarly communities in England and Europe but the observatory was also deeply reliant on and engaged with London's institutions and practical mathematical community. It was a royal foundation, situated within one government board, taking a leading role on another, and overseen (...) by Visitors selected by the Royal Society of London. These links helped develop institutional continuity, while instrument-makers, assistants and other collaborators, who were often active in the city as mathematical authors and teachers, formed an extended community with interest in the observatory's continued existence. After outlining the often highly contingent institutional and personal connections that shaped and supported the observatory, this article considers the role of two early assistants, James Hodgson and Thomas Weston. By championing John Flamsteed's legacy and sharing observatory knowledge and practice beyond its walls, they ensured awareness of and potential users for its outputs. They and their successors helped to develop a particular, and ultimately influential, approach to astronomical and mathematical practice and teaching. (shrink)

An incoherent feed‐forward loop (FFL) is one of the most‐frequently observed motifs in biomolecular regulatory networks. It has been thought that the incoherent FFL is designed simply to induce a transient response shaped by a ‘fast activation and delayed inhibition’. We find that the dynamics of various incoherent FFLs can be further classified into two types: time‐dependent biphasic responses and dose‐dependent biphasic responses. Why do the structurally identical incoherent FFLs play such different dynamical roles? Through computational studies, we show (...) that the dynamics of the two types of incoherent FFLs are mutually exclusive. Following from further computational results and experimental observations, we hypothesize that incoherent FFLs have been optimally designed to achieve distinct biological function arising from different cellular contexts. Additional Supporting Information may be found in the online version of the article. BioEssays 30:1204–1211, 2008. © 2008 Wiley Periodicals, Inc. (shrink)

Given the known hazards of nuclear energy in seismically active Japan after the Fukushima meltdowns as well as the presence of viable conservation and renewable energy options, the question of Japan’s stalled energy transition warrants critical interrogation. To better understand why, after Fukushima, Japan’s energy policy trajectory maintained the nuclear status quo and an increased reliance on fossil fuels, this article employs network and historical analyses to examine the confluence of post-Fukushima political forces connected to Japan’s nuclear energy sector. (...) Our novel network dataset combines with historical analysis to identify a dense network of overlapping executives and officials in Japan that forge long-term ties between the nuclear energy industry, the state, and the leading business federation in Japan. Following the 3.11 disaster and the meltdowns at the Fukushima-Daiichi facility, a long-standing nuclear safety myth and a tightly networked nuclear energy industrial complex provided an ideological and structural context to re-legitimize nuclear energy in spite of widespread public concern. Instead of a bold, ecologically rational policy to quickly phase out nuclear power and phase in renewable energy, well-worn class and state networks aligned to recommit Japan to a nuclear-reliant energy path. These findings support a theoretical synthesis around our concept of an energy industrial complex with applications in environmental and political sociology. (shrink)

The article considers the problem of images and the role they play in our reflection turning to evidence provided by two seemingly very distant theories of mind together with two sorts of corresponding visions: dreams as analyzed by Freud who claimed that they are pictures of our thoughts, and their mechanical counterparts produced by neural networks designed for object recognition and classification. Freud’s theory of dreams has largely been ignored by philosophers interested in cognition, most of whom focused solely (...) on the linguistic incarnation of thoughts, but even though commonly neglected by respectable theories of thinking, dream images may prove to be the key to the black box of thought. As argued in this article, when seen from the right perspective and approached with the right set of questions, oneiric visions yield groundbreaking insights into the mechanism of how concepts and judgments are formed. Support for this conclusion comes from a tradition seemingly remote, if not opposed to psychoanalysis: the mechanical model of the mind conceived by information sciences and embodied in the form of artificial neural nets which mirror the activity of human visual cortex producing visions strikingly similar to those created by the sleeping mind. These purely mechanical, artificial ‘dreams’ constitute byproducts of algorithms designed for object recognition and classification, which, as I shall argue, reveals the true purpose of our own oneiric visual formations. Just like their mechanical counterparts produced by neural networks, condensations and displacements encountered in dreams are in fact visual universals. (shrink)

Online social networking has deeply penetrated university campuses, influencing multiple aspects of student life. Standing from a pedagogical perspective, this study investigates how university students’ OSN engagement affect their learning outcomes. Drawn upon social learning theory, this study proposes that OSN engagement help university students’ establishing the self-efficacy belief, achieving social acceptance and acculturation with environment, and these attributions further lead them to attain positive learning outcomes which are shaped by self-esteem development, satisfaction with university life, and the grade point (...) average based performance. Results from a survey accompanied by focus group discussions support these embedded self-conceptualization and social learning in OSN. This study contributes to the extant research on OSN for learning by highlighting the role of OSN for the whole person development, especially the students’ self-conceptulization and psychological well-beings. The revealed mediating mechanisms also adds values to social learning theory and imply the design foci of e-learning activities and applications. (shrink)

How does segregation along ethnic boundaries emerge in social networks? Human evolution resulted in highly social beings, capable of prosociality, mindreading, and self-control, which are important aspects of the “social brain.” Our neurophysiologically “wired” social cognition implies different cognitive goal frames. In line with recent developments in behavioral theory, the present study defines network ties as episodes of social exchange. This dynamic definition can account for shifts in goal frames during an exchange episode: whereas deliberate choice and hedonic or (...) gain goals drive the initiation of a tie, given the opportunity structure, the normative goal frame activates a strong dynamic effect of reciprocity, which limits actors’ choice set and appears as “self-organization” at the network level. Longitudinal analyses of 18 birthday party networks comprising 501 students support the definition of network ties as exchange episodes, as well as the relevance of humans’ inherent tendency to reciprocate. However, reciprocation is much stronger in dyads of the same ethnicity than in dyads of different ethnicities. Network segregation along ethnic boundaries results from deliberate decisions during the initiation of an episode, but also from different commitments to reciprocity during the ongoing exchange process, depending on intra or interethnic dyadic constellations. (shrink)

Purpose This paper aims to describe the popular trends and methods and ICT tools used for mapping and visualization of scientific domains as a research methodology which is attracting more and more interest from scientific information and science studies professionals. Science mapping or bibliometric mapping is a spatial representation of how disciplines, fields, specialties and individual documents or authors. The researchers analysed Bibexel, Pajek, VOSViewer, programmes used for processing and visualization of bibliographic and bibliometric data, within the framework of the (...) implementation of IRNet research network project and activities and presented several examples of visualisation. Design/methodology/approach Among the main indicators of research effectiveness – bibliometric indicators – is a powerful information tool to support the development of science. Practical research methods were prepared using the programs: Bibexel, program Pajek: graph editing and visualization of the graph structure of co-authorship – using the method of Kamada-Kawai and VOSviewer: a computer program for creating maps based on network data and for visualizing and exploring these maps. The main features of VOSviewer can be summarized for creating maps based on network data, visualizing and exploring maps. Findings The cited references and keywords are used to analyse in particular the intellectual base used by the research field or to analyse documents that cite the same references. Originality/value The authors of the paper, who are researchers of the European IRNet project and international research network, described and analysed certain bibliographic results of these activities using methods of mapping and visualization of scientific domains. (shrink)

This paper engages with the question: how can the marketization of ecologically embedded edibles be enabled in alternative food networks? The challenge lies in the fact that ecologically embedded edibles, grown and made through primarily ecological rather than industrial processes, and using artisan, traditional, and quality practices, show variable and uncertain characteristics. The characteristics, or qualities, of ecologically embedded edibles vary both geographically and in time, challenging the creation of stable market networks. How can ecologically embedded wines be (...) sold when there is no certainty about their qualities? In this article I propose that certainty around qualities is not as crucial an element of transactions as some authors suggest, and I draw on the case study of ecologically embedded wines to extract wider lessons of relevance to marketization of foods and drinks in alternative food networks. I suggest that an understanding of taste not as a fixed and unchangeable quality of people and things, but as a relational and reflexive activity between eaters and edibles, can offer a way of valuing uncertainty around product characteristics. Through a cultivation of a “taste for uncertainty” consumers’ bodies can become enrolled in supporting artisan, quality, and traditional production through their taste buds. Some pitfalls and limitations of this approach are considered in the conclusion. (shrink)