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Consciousness is thought to be regulated by bidirectional information transfer between the cortex and thalamus, but the nature of this bidirectional communication - and its possible disruption in unconsciousness - remains poorly understood. Here, we present two main findings elucidating mechanisms of corticothalamic information transfer during conscious states. First, we identify a highly preserved spectral channel of cortical-thalamic communication that is present during conscious states, but which is diminished during the loss of consciousness and enhanced during psychedelic states. Specifically, we show that in humans, mice, and rats, information sent from either the cortex or thalamus via δ/θ/α waves (∼1-13 Hz) is consistently encoded by the other brain region by high γ waves (52-104 Hz); moreover, unconsciousness induced by propofol anesthesia or generalized spike-and-wave seizures diminishes this cross-frequency communication, whereas the psychedelic 5-methoxy-N,N-dimethyltryptamine (5-MeO-DMT) enhances this low-to-high frequency interregional communication. Second, we leverage numerical simulations and neural electrophysiology recordings from the thalamus and cortex of human patients, rats, and mice to show that these changes in cross-frequency cortical-thalamic information transfer may be mediated by excursions of low-frequency thalamocortical electrodynamics toward/away from edge-of-chaos criticality, or the phase transition from stability to chaos. Overall, our findings link thalamic-cortical communication to consciousness, and further offer a novel, mathematically well-defined framework to explain the disruption to thalamic-cortical information transfer during unconscious states.

Homeostatic regulation of neuronal activity is essential for robust computation; set-points, such as firing rate, are actively stabilized to compensate for perturbations. The disruption of brain function central to neurodegenerative disease likely arises from impairments of computationally essential set-points. Here, we systematically investigated the effects of tau-mediated neurodegeneration on all known set-points in neuronal activity. We continuously tracked hippocampal neuronal activity across the lifetime of a mouse model of tauopathy. We were unable to detect effects of disease in measures of single-neuron firing activity. By contrast, as tauopathy progressed, there was disruption of network-level neuronal activity, quantified by measuring neuronal pairwise interactions and criticality , a homeostatically controlled, ideal computational regime. Deviations in criticality correlated with symptoms, predicted underlying anatomical pathology, occurred in a sleep-wake-dependent manner, and could be used to reliably classify an animal's genotype. This work illustrates how neurodegeneration may disrupt the computational capacity of neurobiological systems. • The activity of recorded individual hippocampal neurons is robust to tauopathy progression • Emergent network dynamics within the same population of neurons are impaired by tauopathy • Shifts in network dynamics correlate with anatomical degeneration and behavioral symptoms In multi-month recordings of the mouse hippocampus, McGregor et al. ask which homeostatic set-points in neuronal activity are undermined by tauopathy. Criticality, an emergent endpoint, is severely disrupted by the disease, while the activity of underlying individual neurons appears unaffected. These findings suggest a dynamical locus by which tauopathy disrupts neuronal function. [ABSTRACT FROM AUTHOR]

This concluding chapter provides a historical reflection of my bridging theories of ethnography and evaluation and the mentor guides who influenced this initial work from Charlottesville, VA, to Baltimore, MD, to Pittsburgh, PA. In reflecting on these Sankofa reflections by looking backward and forward, just as the Adinkra bird symbol illustrates, I highlight key lessons learned in doing ethnography as a doctoral and postdoctoral student, which sparked my initial conceptual and bridging work in public health, anthropology of education, and evaluation. My nascent ideas were fostered with advisors and mentors, Dell Hymes and Michael Agar, who themselves were bridging and leveraging theories and concepts from vast (inter)disciplinary networks and experiences in the field. The featured manuscripts below were meant to illustrate the ethnography-evaluation connections that I thought were so necessary then for my own understandings and lay fodder for the coalescing transformative, intersectional, and comparative themes of the book. Fast forward 25 years and the themes that I garnered as a "fair-haired youth" in the field are now more mature as reflected by the authors of this important and timely book. The beauty of the volume of chapters that preceded this conclusion is their conceptual depth toward notions, especially positionality, criticality, authenticity, and reciprocity. As such, I take these overarching concepts that are embedded in the chapters like the Sankofa bird's feet – with an eye toward the future. The concepts illustrated in the book do not reside in only one chapter but reflect a commonality across chapters and common concepts discussed in the overall volume. [ABSTRACT FROM AUTHOR]

In this paper, we study the asymptotic properties of slowly varying functions of one real variable in the sense of Karamata. We establish analogs of fundamental theorems on uniform convergence and integral representation for slowly varying functions with a remainder depending on the types of remainder. We also prove several important theorems on the asymptotic representation of integrals of Karamata functions. Under certain conditions, we observe a "narrowing" of classes of slowly varying functions concerning the types of remainder. At the end of the paper, we discuss the possibilities of the application of slowly varying functions in the theory of stochastic branching systems. In particular, under the condition of the finiteness of the moment of the type E x ln x for the particle transformation intensity, it is established that the property of slow variation with a remainder is implicitly present in the asymptotic structure of a non-critical Markov branching random system. [ABSTRACT FROM AUTHOR]

The critical brain hypothesis states that the brain can benefit from operating close to a second-order phase transition. While it has been shown that several computational aspects of sensory processing (e.g., sensitivity to input) can be optimal in this regime, it is still unclear whether these computational benefits of criticality can be leveraged by neural systems performing behaviorally relevant computations. To address this question, we investigate signatures of criticality in networks optimized to perform efficient coding. We consider a spike-coding network of leaky integrateand-fire neurons with synaptic transmission delays. Previously, it was shown that the performance of such networks varies nonmonotonically with the noise amplitude. Interestingly, we find that in the vicinity of the optimal noise level for efficient coding, the network dynamics exhibit some signatures of criticality, namely, scale-free dynamics of the spiking and the presence of crackling noise relation. Our work suggests that two influential, and previously disparate theories of neural processing optimization (efficient coding and criticality) may be intimately related. [ABSTRACT FROM AUTHOR]

We study the 1D quantum Heisenberg chain with randomly ferromagnetic or antiferromagnetic couplings [a model previously studied by approximate strong-disorder renormalization group (RG)]. We find that, at least for sufficiently large spin S, the ground state has "spin glass" order. The spin waves on top of this state have the dynamical exponent z = 3/2, intermediate between the values z = 1 of the antiferromagnet and z = 2 of the ferromagnet. Density matrix renormalization group (DMRG) simulations are in good agreement with the analytical results for spins S = 1 and S = 3/2. The case S = 1/2 shows large finite size effects: We suggest that this case is also ordered, but with a small ordered moment. [ABSTRACT FROM AUTHOR]

Oscillatory complex networks in the metastable regime have been used to study the emergence of integrated and segregated activity in the brain, which are hypothesised to be fundamental for cognition. Yet, the parameters and the underlying mechanisms necessary to achieve the metastable regime are hard to identify, often relying on maximising the correlation with empirical functional connectivity dynamics. Here, we propose and show that the brain's hierarchically modular mesoscale structure alone can give rise to robust metastable dynamics and (metastable) chimera states in the presence of phase frustration. We construct unweighted 3-layer hierarchical networks of identical Kuramoto-Sakaguchi oscillators, parameterized by the average degree of the network and a structural parameter determining the ratio of connections between and within blocks in the upper two layers. Together, these parameters affect the characteristic timescales of the system. Away from the critical synchronization point, we detect the emergence of metastable states in the lowest hierarchical layer coexisting with chimera and metastable states in the upper layers. Using the Laplacian renormalization group flow approach, we uncover two distinct pathways towards achieving the metastable regimes detected in these distinct layers. In the upper layers, we show how the symmetry-breaking states depend on the slow eigenmodes of the system. In the lowest layer instead, metastable dynamics can be achieved as the separation of timescales between layers reaches a critical threshold. Our results show an explicit relationship between metastability, chimera states, and the eigenmodes of the system, bridging the gap between harmonic based studies of empirical data and oscillatory models. [ABSTRACT FROM AUTHOR]

Whilst technology may have been the 'saviour' of HE from the immediate challenges of the pandemic, the opportunistic dialogue emerging in response is imbued with notions of the pandemic as a catalyst for change. Empowered by the apparent success of technology's deliverance, the door has been opened to unprecedented investment into a pervasive and data-driven paradigm of technology. Utilising a Critical Discourse Analysis of sector-orientated literature published in response to the pandemic, this paper examines the emergent rhetoric of technology and problematises taken for granted assumptions concerning its adoption in the imagined future of HE. This paper argues that such rhetoric is mediatory of neoliberal and consumerist ideologies, and that the portrayal of technology as a wholly beneficial enterprise obscures other issues and inequalities. By positioning educational technology in a uniquely political light, this paper offers a critical lens through which to view this new era of technological pervasion. [ABSTRACT FROM AUTHOR]

Critical thinking as a concept, has a rich history and is central to much of the debate within international educational research and increasingly within environmental and sustainability education (ESE). Currently, it is gaining a foothold in the curriculum and in practice in Nordic countries. However, to date, there has been no proper account of what critical thinking entails in formal ESE settings in Nordic countries. In this article, we utilise a theoretically explorative approach to discuss the following research question: How can various conceptualisations of critical thinking be understood in relation to a selection of ESE positions and current challenges in the Nordic educational context? Through a theoretical exploration of critical thinking and action in relation to selected ESE positions, we find that although critical ESE positions favour critical thinking, which enables a strong degree of deliberate and detectable action, conceptualisations of critical thinking that promote cognitive skills are also important for critical ESE. [ABSTRACT FROM AUTHOR]

Noise and error are usually considered to be disturbances negatively affecting the behavior of a system. Nevertheless, from a systemic perspective, taking into account openness and incompleteness of complex systems, noise and error may assume a creative, constructive, and positive role in that they are a source of novelty that can trigger the reorganization of the system, the growth of complexity, and the emergence of new meaning. Examples of this phenomenon can be found in evolutionary phenomena driven by affordances, the formation of new attractors in dynamic systems responding to external perturbations, and improvisation in music. We argue that it is possible to identify general properties that enable the positive effect of noise and errors in complex systems, namely, multilevel organization, redundancy, incompleteness, and criticality. These properties play a major role in living systems and can guide the design of robust and adaptive artificial systems. [ABSTRACT FROM AUTHOR]

Abstract We address quantum metrology in critical spin chains with anisotropy and Dzyaloshinskii–Moriya (DM) interaction, and show how local and quasi-local measurements may be exploited to characterize global properties of the systems. In particular, we evaluate the classical (magnetization) and quantum Fisher information of the relevant parameters for the density matrix of a single spin and that of a pair of spins ranging from nearest to sixth-nearest neighbors, to the limiting case of very distant spins. Our results allow us to elucidate the role of the different parameters and to individuate the optimal working regimes for the precise characterization of the system, also clarifying the effects of correlations on the estimation precision.

Abstract Scaling relationships are key in characterizing complex systems at criticality. In the brain, they are evident in neuronal avalanches—scale-invariant cascades of neuronal activity quantified by power laws. Avalanches manifest at the cellular level as cascades of neuronal groups that fire action potentials simultaneously. Such spatiotemporal synchronization is vital to theories on brain function yet avalanche synchronization is often underestimated when only a fraction of neurons is observed. Here, we investigate biases from fractional sampling within a balanced network of excitatory and inhibitory neurons with all-to-all connectivity and critical branching process dynamics. We focus on how mean avalanche size scales with avalanche duration. For parabolic avalanches, this scaling is quadratic, quantified by the scaling exponent, χ = 2, reflecting rapid spatial expansion of simultaneous neuronal firing over short durations. However, in networks sampled fractionally, χ is significantly lower. We demonstrate that applying temporal coarse-graining and increasing a minimum threshold for coincident firing restores χ = 2, even when as few as 0.1% of neurons are sampled. This correction crucially depends on the network being critical and fails for near sub- and supercritical branching dynamics. Using cellular 2-photon imaging, our approach robustly identifies χ = 2 over a wide parameter regime in ongoing neuronal activity from frontal cortex of awake mice. In contrast, the common ‘crackling noise’ approach fails to determine χ under similar sampling conditions at criticality. Our findings overcome scaling bias from fractional sampling and demonstrate rapid, spatiotemporal synchronization of neuronal assemblies consistent with scale-invariant, parabolic avalanches at criticality.

Sleep control depends on a delicate interplay among brain regions. This generates a complex temporal architecture with numerous sleep-stage transitions and intermittent fluctuations to micro-states and brief arousals. These temporal dynamics exhibit hallmarks of criticality, suggesting that tuning to criticality is essential for spontaneous sleep-stage and arousal transitions. However, how the brain maintains criticality remains not understood. Here, we investigate θ- and δ-burst dynamics during the sleep–wake cycle of rats (Sprague–Dawley, adult male) with lesion in the wake-promoting locus coeruleus (LC). We show that, in control rats, θ- and δ-bursts exhibit power-law (θ-bursts, active phase) and exponential-like (δ-bursts, quiescent phase) duration distributions, as well as powerlaw long-range temporal correlations (LRTCs)—typical of non-equilibrium systems self-organizing at criticality. Furthermore, consecutive θ- and δ-bursts durations are characterized by anti-correlated coupling, indicating a new class of self-organized criticality that emerges from underlying feedback between neuronal populations and brain areas involved in generating arousals and sleep states. In contrast, we uncover that LC lesion leads to alteration of θ- and δ-burst critical features, with change in duration distributions and correlation properties, and increase in θ–δ coupling. Notably, these LC-lesion effects are opposite to those observed for lesions in the sleep-promoting ventrolateral preoptic (VLPO) nucleus. Our findings indicate that critical dynamics of θ- and δ-bursts arise from a balanced interplay of LC and VLPO, which maintains brain tuning to criticality across the sleep–wake cycle—a nonequilibrium behavior in sleep micro-architecture at short timescales that coexists with large-scale sleep–wake homeostasis. [ABSTRACT FROM AUTHOR]

Various studies have highlighted the significant role of creativity and criticality in English as a foreign language (EFL) contexts. Yet, their contribution to and mechanism in assessment domains are widely neglected. To address this shortcoming in the literature, the present study took advantage of a qualitative design via a semi‐structured interview with a sample of 29 Chinese EFL teachers to unravel their perceptions of creativity and criticality in second language (L2) assessment practices. The interview results pinpointed that Chinese EFL teachers regarded both creativity and criticality as valuable skills, which can be nurtured via various assessment practices in the class. Specifically, the participants maintained that creativity could be measured and improved by using “multimedia and technologies,” “games and scenarios,” “mind maps,” and “authentic assessment.” Likewise, criticality can be developed in learners through “debates and discussions,” “role play,” “written tests like argumentative essays,” and “oral interviews.” The findings are discussed about prior research and implications are suggested to EFL teachers, teacher educators, and curriculum designers to increase their understanding and implementation of assessment practices oriented to creativity and criticality. [ABSTRACT FROM AUTHOR]

We investigated the causal responsibility attributions of adults and children to mechanical devices in the framework of the criticality-pivotality model. It establishes that, to assign responsibility, people consider how important a target is to reaching a positive outcome (criticality) and how much the target contributed to the actual outcome (pivotality). We also tested theoretical predictions about relations between the development of counterfactual thinking and assessments of pivotality. In Experiment 1, we replicated previous findings in adults using our task. In Experiment 2, we administered this task and a brief counterfactual reasoning questionnaire to children aged between 8 and 13 years. Results showed that children also considered both criticality and pivotality when they attributed responsibility. However, older children were more sensitive than younger ones to pivotality. Also, we found a positive correlation between children's pivotality judgements and a measure of counterfactual thinking. Results are discussed regarding the model's relation to counterfactual thinking. [ABSTRACT FROM AUTHOR]

Copyright of Afyon Kocatepe University Journal of Science & Engineering / Afyon Kocatepe Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi is the property of Afyon Kocatepe University, Faculty of Science & Literature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Criticality, observed during second-order phase transitions, is an emergent phenomenon. The brain operates near criticality where complex systems exhibit high correlations. As a system approaches criticality, it develops "domain"-like regions with competing phases and increased spatio-temporal correlations that diverge. The dynamics of these domains depend on the system's proximity to criticality. This study explores the differences in the proximity to criticality of Alzheimer's-afflicted and cognitively normal brains through the use of a spin–lattice model derived from resting-state fMRI data and investigates the type of criticality found in the human brain - whether it is of the Ising class or something more complex. The temporal correlations in both groups display a stretched exponential nature, indicating closer alignment with the criticality of the spin-glass class rather than the Ising class. Longer relaxation times observed in cognitively normal subjects suggest increased proximity to the phase boundary. The weak distinction observed in the spatial characteristics related to proximity to criticality might once more point to a spin-glass scenario, necessitating nuanced order parameters to distinguish between phase-ordering in Alzheimer's and cognitively normal brains. [ABSTRACT FROM AUTHOR]

Epilepsy is characterized by recurrent, unprovoked seizures. Accurate prediction of seizure occurrence has long been a clinical goal since this would allow to optimize patient treatment, prevent injuries due to seizures, and alleviate the patient burden of unpredictability. Advances in implantable electroencephalographic (EEG) devices, allowing for long-term interictal EEG recordings, have facilitated major progress in this field. Recently, it has been discovered that interictal brain activity demonstrates circadian and multi-dien cycles that are strongly aligned, or phase locked, with seizure risk. Thus, cyclical brain activity patterns have been used to forecast seizures. However, in the effort to develop a clinically useful EEG based seizure forecasting system, challenges remain. Firstly, multiple EEG features demonstrate cyclical patterns, but it remains unclear which feature is best suited for predicting seizures. Secondly, the technology for long-term EEG recording is currently limited in both spatial and temporal sampling resolution. In this study, we compare five established EEG metrics:synchrony, spatial correlation, temporal correlation, signal variance which have been motivated from critical dynamics theory, and interictal epileptiform discharge (IED) which are a traditional marker of seizure propensity. We assess their effectiveness in detecting 24-h and seizure cycles as well as their robustness under spatial and temporal subsampling. Analyzing intracranial EEG data from 23 patients, we report that all examined features exhibit 24-h cycles. Spatial correlation, signal variance, and synchrony showed the highest phase locking with seizures, while IED rates were the lowest. Notably, spatial and temporal correlation were also found to be highly correlated to each other, as were signal variance and IED--suggesting some features may reflect similar aspects of cortical dynamics, whereas others provide complementary information. All features proved robust under subsampling, indicating that the dynamic properties of interictal activity evolve slowly and are not confined to specific brain regions. Our results may aid future translational research by assisting in design and testing of EEG based seizure forecasting systems. [ABSTRACT FROM AUTHOR]

The world has been experiencing huge upheavals since the COVID-19 crises. Conflicts caused by opposing ideologies, economic-political agendas and realities are rampant within or across borders. Such unsteady circumstances contribute to shifting how Transnational Education (TNE) occurs worldwide, as well as the scientific, epistemic and educational discourses that go with it. Anchored within critical interculturality, this paper explores the concept of 'inter-ideologicality'. The study looks at short-term online international student mobility to demonstrate how students from China and Finland navigate and negotiate ideologies around the concept of culture in intercultural research and education. The study also employs Wang Chong's perspectives on criticality to identify emerging ideologies in the co-construction of criticality in students' online cooperation. Findings reveal that (1) two ideological orientations, nationoriented and society-oriented, developed during discussions about culture; (2) Finnish students used a specific form of reasoning to contradict Chinese students' thoughts about Finland by means of criticality towards the nationoriented ideology; (3) Chinese and Finnish students employed questioning and challenging to help each other be aware of something left unsaid about the status of women in their societies within the society-oriented ideology. The study represents an important meta-approach to intercultural communication education within internationalization of Higher Education, aimed at supporting mobile students to reflect critically on the scientific and educational notion of interculturality rather than providing them with ready-made recipes as to how to communicate and behave interculturally. [ABSTRACT FROM AUTHOR]

In 2020, Europe announced the New European Bauhaus (NEB). While the initiative intends to achieve EU sustainability goals, framing it under the name of the Bauhaus brings various challenges and issues to the fore. In this article, we analyze the critiques of the original Bauhaus and the NEB to understand the challenges that the NEB lighthouse project Bauhaus of the Seas Sails (BoSS) inherits by adhering to the Bauhaus vision and name. We unveil the problematic dynamics of Eurocentric modernity's myths of universalism and better living through technology and on the Bauhaus's and NEB's position in global power structures. Instead of assuming a tabula rasa approach and replicating problematic structures unknowingly, we bring these three aspects to BoSS to find questions as orientation points to help steer away from problematic aspects inherited by reanimating the Bauhaus name and its legacy. [ABSTRACT FROM AUTHOR]

Objective: Postsurgical seizure freedom in drug‐resistant epilepsy (DRE) patients varies from 30% to 80%, implying that in many cases the current approaches fail to fully map the epileptogenic zone (EZ). We aimed to advance a novel approach to better characterize epileptogenicity and investigate whether the EZ encompasses a broader epileptogenic network (EpiNet) beyond the seizure zone (SZ) that exhibits seizure activity. Methods: We first used computational modeling to test putative complex systems‐driven and systems neuroscience‐driven mechanistic biomarkers for epileptogenicity. We then used these biomarkers to extract features from resting‐state stereoelectroencephalograms recorded from DRE patients and trained supervised classifiers to localize the SZ against gold standard clinical localization. To further explore the prevalence of pathological features in an extended brain network outside of the clinically identified SZ, we also used unsupervised classification. Results: Supervised SZ classification trained on individual features achieved accuracies of.6–.7 area under the receiver operating characteristic curve (AUC). Combining all criticality and synchrony features further improved the AUC to.85. Unsupervised classification discovered an EpiNet‐like cluster of brain regions, in which 51% of brain regions were outside of the SZ. Brain regions in the EpiNet‐like cluster engaged in interareal hypersynchrony and locally exhibited high‐amplitude bistability and excessive inhibition, which was strikingly similar to the high seizure risk regime revealed by our computational modeling. Significance: The finding that combining biomarkers improves SZ localization accuracy indicates that the novel mechanistic biomarkers for epileptogenicity employed here yield synergistic information. On the other hand, the discovery of SZ‐like brain dynamics outside of the clinically defined SZ provides empirical evidence of an extended pathophysiological EpiNet. [ABSTRACT FROM AUTHOR]

Copyright of DYNA - Ingeniería e Industria is the property of Publicaciones Dyna SL and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this commentary, I reflect on the articles in this special issue to ask two quesitons: (1) what aspects of multilingualism or teacher education will we as critical scholars never fully understand as we work from within the contradiction of the constructed divide between racialized mono- and multilingual worlds; and (2) how can scholars more explicitly define the theories and terms we use in our research to clarify our own thinking and effect real change? [ABSTRACT FROM AUTHOR]

Copyright of Al Bashaer Economic Journal is the property of Al Bashaer Economic Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Purpose: In business-to-business interactions, conflicts are inevitable, and conflict-handling strategies that consider different variables improve the decision-making process of actors. This study aims to reveal the role of power and criticality in conflict-handling research in logistics service networks. Design/methodology/approach: A 2 × 2 between-subject experimental design with four different scenarios was used. One hundred sixty logistics service actors completed an online questionnaire. Data were analyzed with ANOVA and paired sample t-tests using the SPSS 28.0 program. Findings: In comparative scenarios involving high and low power dynamics, individuals with high power and high criticality situations are more inclined to favor the dominating strategy compared to low-power and low-criticality contexts. However, when faced with specific circumstances characterized by both high power and high criticality, actors tend to prioritize the integrating strategy initially, followed by the dominating and obliging strategies in that order. Notably, the statistical analysis revealed no significant interaction effect between criticality and power concerning the integrating, obliging and dominating conflict-handling strategies. Originality/value: This study used an experimental approach to investigate criticality and power as contextual elements in determining conflict-handling strategies in an inter-firm environment within logistics service networks. This study is particularly groundbreaking in its knowledge of the relationship among power dynamics, conflict criticality and conflict-handling strategies. [ABSTRACT FROM AUTHOR]

Copyright of Revista Foco (Interdisciplinary Studies Journal) is the property of Revista Foco and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

As we enter the 21st century, a new era of digital technologies is offering increasing possibilities, but at the same time, posing serious challenges to architectural research. Therefore, the recovery of a critical approach is more necessary than ever. This should encompass not only the critical evaluation of the aforementioned technologies, but also counteract models of thought associated with them, such as the standardization of languages or the hegemony of solutionism. Likewise, it is also necessary to reclaim imagination and brilliance as attributes of a seriously threatened freedom. Working on the challenges of our time must emphasize the ideation, development and definition of mental processes and structures, mechanisms that are still outside the scope of technologies such as Artificial Intelligence. Finally, it is still important to reassert that all architectural postulates should be understood in the cultural environment and physical surroundings in which they are produced, admitting their diversity and avoiding a Eurocentric view. Current environmental degradation can be understood as a symptom of a crisis of civilization, marked by a model of living that does not recognize the need to understand ourselves and our built environment in relation to nature.

Empirical evidence indicates that conscious states, distinguished by the presence of phenomenal qualities, are closely linked to synchronized neural activity patterns whose dynamical characteristics can be attributed to self- organized criticality and phase transitions. These findings imply that insight into the mechanism by which the brain controls phase transitions will provide a deeper understanding of the fundamental mechanism by which the brain manages to transcend the threshold of consciousness. This article aims to show that the initiation of phase transitions and the formation of synchronized activity patterns is due to the coupling of the brain to the zero-point field (ZPF), which plays a central role in quantum electrodynamics (QED). The ZPF stands for the presence of ubiquitous vacuum fluctuations of the electromagnetic field, represented by a spectrum of normal modes. With reference to QED- based model calculations, the details of the coupling mechanism are revealed, suggesting that critical brain dynamics is governed by the resonant interaction of the ZPF with the most abundant neurotransmitter glutamate. The pyramidal neurons in the cortical microcolumns turn out to be ideally suited to control this interaction. A direct consequence of resonant glutamate-ZPF coupling is the amplification of specific ZPF modes, which leads us to conclude that the ZPF is the key to the understanding of consciousness and that the distinctive feature of neurophysiological processes associated with conscious experience consists in modulating the ZPF. Postulating that the ZPF is an inherently sentient field and assuming that the spectrum of phenomenal qualities is represented by the normal modes of the ZPF, the significance of resonant glutamate-ZPF interaction for the formation of conscious states becomes apparent in that the amplification of specific ZPF modes is inextricably linked with the excitation of specific phenomenal qualities. This theory of consciousness, according to which phenomenal states arise through resonant amplification of zero-point modes, is given the acronym TRAZE. An experimental setup is specified that can be used to test a corollary of the theory, namely, the prediction that normally occurring conscious perceptions are absent under experimental conditions in which resonant glutamate-ZPF coupling is disrupted. [ABSTRACT FROM AUTHOR]

VERA benchmark cases have been introduced by ORNL and detailed guidelines have been provided including the burnup chain data for a depletion analysis. The purpose of this paper was to analyze the performance of MCNP Monte Carlo code using VERA benchmark cases. Research on the VERA benchmark cases become important because its results will be useful for designing SMRs planned in the country. The VERA 2B and VERA 2P were selected as a representation for a typical fuel assembly of LWR configurations. The kinf MCNP calculations show a good agreement with the MCS and STREAM predictions at the Beginning of Cycle (BOC), Middle (MOC), and End (EOC). The kinf value at BOC calculated using MCNP for VERA 2B case shows a good agreement compared to KENO, Serpent, and OpenMC with a difference of less than 60 pcm while for VERA 2P case with a difference of less than 90 pcm. Doppler Temperature of reactivity Coefficient (DTC) and Moderator Temperature (MTC) results were negative and both became more negative as fuel burnup increased. The βe f f values of both cases were close to 670 pcm during BOC since both cases use 235U fissile nuclear material. The 239Pu production in VERA 2B was higher than 2P since higher 238U in 2B and 24 pins of mixed lower enrichment and gadolinium in 2P lowers its heavy metal loading followed by the neutron spectrum shifting. It can be concluded that these results can be used in the development of computational performance for overall core analysis to strengthen the basic design of the SMR to be built in Indonesia. [ABSTRACT FROM AUTHOR]

Aim: Biofields combine many physiological levels, both spatially and temporally. These biofields reflect naturally resonant forms of synaptic energy reflected in growing and spreading waves of brain activity. This study aims to theoretically understand better how resonant continuum waves may be reflective of consciousness, cognition, memory, and thought. Background: The metabolic processes that maintain animal cellular and physiological functions are enhanced by physiological coherence. Internal biological-system coordination and sensitivity to particular stimuli and signal frequencies are two aspects of coherent physiology. There exists significant support for the notion that exogenous biologically and non-biologically generated energy entrains human physiological systems. All living things have resonant frequencies that are either comparable or coherent; therefore, eventually, all species will have a shared resonance. An organism's biofield activity and resonance are what support its life and allow it to react to stimuli. Methods: As the naturally resonant forms of synaptic energy grow and spread waves of brain activity, the temporal and spatial frequency of the waves are effectively regulated by a time delay (T) in inter-layer signals in a layered structure that mimics the structure of the mammalian cortex. From ubiquitous noise, two different types of waves can arise as a function of T. One is coherent, and as T rises, so does its resonant spatial frequency. Results: Continued growth eventually causes both the wavelength and the temporal frequency to abruptly increase. Two waves expand simultaneously and randomly interfere in an area of T values as a result. Conclusion: We suggest that because of this extraordinary dualism, which has its roots in the phase relationships of amplified waves, coherent waves are essential for memory retrieval, whereas random waves represent original cognition. [ABSTRACT FROM AUTHOR]

Understanding component criticality in machinery performance degradation is important in ensuring the reliability and availability of ship systems, particularly considering the nature of ship operations requiring extended voyage periods, usually traversing regions with multiple climate and environmental conditions. Exposing the machinery system to varying degrees of load and operational conditions could lead to rapid degradation and reduced reliability. This research proposes a tailored solution by identifying critical components, the root causes of maintenance delays, understanding the factors influencing system reliability, and recognising failure-prone components. This paper proposes a hybrid approach using reliability analysis tools and machine learning. It uses dynamic fault tree analysis (DFTA) to determine how reliable and important a system is, as well as Bayesian belief network (BBN) availability analysis to assist with maintenance decisions. Furthermore, we developed an artificial neural network (ANN) fault detection model to identify the faults responsible for system unreliability. We conducted a case study on a ship power generation system, identifying the components critical to maintenance and defects contributing to such failures. Using reliability importance measures and minimal cut sets, we isolated all faults contributing over 40% of subsystem failures and related events. Among the 4 MDGs, the lubricating system had the highest average availability of 67%, while the cooling system had the lowest at 38% using the BBN availability outcome. Therefore, the BBN DSS recommended corrective action and ConMon as maintenance strategies due to the frequent failures of certain critical parts. ANN found overheating when MDG output was above 180 kVA, linking component failure to generator performance. The findings improve ship system reliability and availability by reducing failures and improving maintenance strategies. [ABSTRACT FROM AUTHOR]

We explore the literature on internationalization in higher education and distinguish between the mainstream and radical approaches to critical scholarship. We argue that the mainstream approach continues to steer internationalization towards socially progressive and equitable aims, while growing concerns have surfaced especially with regard to its commercialization. We focus on the postcolonial approach and suggest that it has inherent limitations stemming from its roots in a 'modern global/colonial imaginary' based on an outdated bipolar or unipolar, rather than multipolar, view of geopolitics. In the analysis of higher education, this perspective fails to recognize contemporary forms of colonialism and, in contrast to other strands of critical scholarship, neglects the shifting nature of geopolitics and the various forms and locations of colonialism. Consequently, we argue that the postcolonial approach becomes myopic, as it tends to be West-centric, selectively critical and denies local agency. Moreover, it falls short in explaining the motives behind internationalization in diverse contexts. Therefore, we argue for a plurality of critical approaches, widely applied, to gain a comprehensive understanding of internationalization on a global scale. [ABSTRACT FROM AUTHOR]

This paper will reflect on the possibility of epistemic decolonization, particularly in terms of curriculum, as a transformative educational process in the context of the South African university, and with respect to my own positionality. The argument will centre around two difficult interdependent positions. On the one hand I will argue for the university's task as transformational, even offering, via Cornel West, the 'salvific' possibility that knowledge offers those who seek it. To develop this claim, I will draw on and develop the notion of paideia though the work of Plato and Heidegger. On the other hand, within the postcolonial African university, the question of decolonization in the tertiary space cannot be elided, particularly since the 2015 #RhodesMustFall and #FeesMustFall movements. The university is a powerful colonial relic, and it can be used to reinforce and perpetuate epistemic violence through unreflective or unconscious pedagogical and curriculum decisions. Here I draw on decolonial thinkers such as Santos, Mignolo, Maldonado-Torres, and Mbembe: I argue for a reckoning with the forces of coloniality, and advocate for epistemic justice and criticality, as part of the decolonizing project. In conclusion, working with ideas from Cornel West, I argue to reconcile paideia , as the 'turning of the soul', with the decolonizing African university. [ABSTRACT FROM AUTHOR]

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One of the issues of greatest interest in urban planning today concerns the evaluation of the most vulnerable urban areas in the presence of different types of climate hazards. In this research, a hierarchical fuzzy MCDA model is implemented on a GIS-based platform aimed at detecting the urban areas most at risk in the presence of heatwave and pluvial flooding scenarios. The proposed model aims to detect the urban areas most vulnerable to both the two climatic phenomena and the two types of hazards as independent events; it partitions the physical component of an urban settlement into two subsystems: buildings and open spaces, and it determines the criticality of a subzone of the urban area of study by evaluating the vulnerabilities of the two subsystems to the two phenomena. The use of a hierarchical fuzzy MCDA model facilitates the modeling of the two subsystems and the assessment of their vulnerability to the two phenomena, and it provides a computationally fast tool for detecting critical urban areas. The model was tested on a study area made up of the districts of the central-eastern area of the city of Naples (Italy); it was divided into subzones made up of individual census areas. The most critical areas are represented by the subzones with criticality values higher than a specific threshold. [ABSTRACT FROM AUTHOR]