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The religious nature of Joseph Beuys’ works was ignored or intentionally avoided by mainstream criticism since his artistic practice was ridiculed for its potential spirituality. It is argued that Beuys’ works are work meditations on the issues of potential ego in totemic art, which are frequent topics of theological concern. For example, what is the nature of our consciousness after death, and how does it relate to the consciousness of others? Beuys’ conceptual artworks reveal his engagement with the “witchcraft etiquette” of totemic art and his exploration of theological questions such as the relation between human consciousness and divinity, the role of sacrifice and resurrection, and the meaning of self-awareness. In other words, we can draw inspiration from the theological theories of Alfred North Whitehead and Georg Wilhelm Friedrich Hegel to examine Beuys’ choice of conceptual art through the lens of his deep self-consciousness of totem worship. In general, Beuys’ works pose an important question: how can we awaken our chaotic consciousness to new or forgotten sprouts which may rejuvenate our existence in the world?

This study proposed a separation method to identify the temperature-induced response from the long-term monitoring data with noise and other action-induced effects. In the proposed method, the original measured data are transformed using the local outlier factor (LOF), and the threshold of the LOF is determined by minimizing the variance of the modified data. The Savitzky–Golay convolution smoothing is also utilized to filter the noise of the modified data. Furthermore, this study proposes an optimization algorithm, namely the AOHHO, which hybridizes the Aquila Optimizer (AO) and the Harris Hawks Optimization (HHO) to identify the optimal value of the threshold of the LOF. The AOHHO employs the exploration ability of the AO and the exploitation ability of the HHO. Four benchmark functions illustrate that the proposed AOHHO owns a stronger search ability than the other four metaheuristic algorithms. A numerical example and in situ measured data are utilized to evaluate the performances of the proposed separation method. The results show that the separation accuracy of the proposed method is better than the wavelet-based method and is based on machine learning methods in different time windows. The maximum separation errors of the two methods are about 2.2 times and 5.1 times that of the proposed method, respectively.

This article explores the evolution of totemic symbolism in contemporary visual art and its profound link with religious concepts, particularly the image of God. It examines how artists reinterpret sacred themes through totems, reflecting both historical religious traditions and modern societal transformations. Through a review of totemic representations from ancient to contemporary artworks, this study illuminates the evolving portrayal of divine figures – from traditional religious icons to more personalised spiritual symbols. This evolution not only signifies changes in artistic expression but also suggests a deepening societal understanding of divinity. The analysis highlights the totem’s role as a mediator between the human and the divine, offering insights into the spiritual connections that transcend conventional religious frameworks. This research not only enriches the discourse on the relationship between art and religion but also underscores the dynamic interaction between cultural heritage and contemporary artistic exploration.Contribution: This study enriches the field of art history and religious studies by tracing the transformative representation of totems in art from ancient symbolism to modern reinterpretations. It underscores the totem’s role as a dynamic symbol in contemporary visual culture, facilitating deeper spiritual connections and dialogues across various cultural and religious landscapes. The findings of this study provide a nuanced understanding of how contemporary art mediates complex theological concepts, thus offering new perspectives on the intersection of art, religion and spirituality.

The Christian Platonic theology and philosophy have been criticised for many years by various scholars. The dualistic perspective may belittle the value of plant and animal kingdoms, entangling humans in anthropocentric bias and promoting hierarchical systems. However, subsequent theologians and philosophers interpreted these works in ways that allowed negative perspectives and misunderstandings of the material world and its symbols to develop, leaving a mark on history. Therefore, the discussed Christian Platonic theology represents a specific spiritual gnostic view with a unique perspective on spirituality. It values all living beings as uniquely revealing their divine nature. Therefore, although hierarchical views may exist, it does not mean any being should dominate. Instead, it means that, in the being’s participation in God’s manifestation, the being adds something unique regarding some of God’s features. This perspective allows for revising religious viewpoints that have been misunderstood or overly simplified and promotes a fundamental humanistic spirit of care for all living beings’ inborn spiritual significance.ContributionThis article explores the sacred value of biological totems in Christian Platonic thought, revealing the divinity embodied in all forms of life through a re-examination of traditional dualistic views. This research contributes to ecological theology by emphasising the intrinsic connection between nature and divinity within the framework of Christian philosophy.

Direct ethanol fuel cell (DEFC) has received tremendous research interests because of the more convenient storage and transportation of ethanol vs. compressed hydrogen. However, the electrocatalytic ethanol oxidation reaction typically requires precious metal catalysts and is plagued with relatively high over potential and low mass activity. Here we report the synthesis of Pt 3 Ag alloy wavy nanowires via a particle attachment mechanism in a facile solvothermal process. Transmission microscopy studies and elemental analyses show highly wavy nanowire structures with an average diameter of 4.6 ± 1.0 nm and uniform Pt3Ag alloy formation. Electrocatalytic studies demonstrate that the resulting alloy nanowires can function as highly effective electrocatalysts for ethanol oxidation reactions (EOR) with ultrahigh specific activity of 28.0 mA/cm 2 and mass activity of 6.1 A/mg, far exceeding that of the commercial Pt/carbon samples (1.10 A/mg). The improved electrocatalytic activity may be partly attributed to partial electron transfer from Ag to Pt in the Pt 3 Ag alloy, which weakens CO binding and the CO poisoning effect. The one-dimensional nanowire morphology also contributes to favorable charge transport properties that are critical for extracting charge from catalytic active sites to external circuits. The chronoamperometry studies demonstrate considerably improved stability for long term operation compared with the commercial Pt/C samples, making the Pt 3 Ag wavy nanowires an attractive electrocatalyst for EOR.

Despite numerous research findings related to medieval Chinese Buddhism, the witchcraft role of bird totems in Buddhist history has not received sufficient attention. In order to fill this gap, this paper analyzes how Buddhist monks in medieval China developed a close relationship with bird-totem worship. This relationship has been documented in Buddhist scriptures, rituals, oral traditions, biographies, and mural art. Although bird-totem worship was practiced in many regions of medieval China, this paper specifically examines the visual culture of bird totems in Tibetan and Chinese Buddhism. Furthermore, some details of this culture were recorded in Buddhist texts and images. According to these works, various bird-totem patterns and symbols are believed to be effective ritual arts used by Tibetan and Chinese Buddhist monks to influence nature and the supernatural through ritual and magic.

This paper considers the pursuit problem of a moving target by a swarm of drones through a flexible-configuration formation. The drones are modeled by second-order systems subject to uncertain damping ratios, whereas the moving target follows a polynomial-type trajectory whose coefficient vectors are fully unknown. Due to location denial, drones cannot obtain their absolute positions, but they can obtain their positions relative to other neighboring drones and the target. To achieve a robust formation pursuit, a robust cooperative control protocol is synthesized, which comprises three key components, namely, the pseudo drone position estimator, the pseudo target position estimator, and the local internal model control (IMC) law. The pseudo drone position estimator and the pseudo target position estimator aim to recover for each drone the position of itself and the target, respectively, but are subject to some common unknown constant bias in a distributed manner. By subtracting the pseudo target position from the pseudo drone position, each drone can acquire its position relative to the target, which facilitates the design of a local IMC law to fulfill formation pursuit in the presence of system parametric uncertainties. Both pure numerical simulation and hardware-in-the-loop (HIL) simulation are performed to verify the effectiveness of the proposed control protocol.

Phosphodiesterase 7 (PDE7) plays a role in neurological function. Increased expression and activity of PDE7 has been detected in several central nervous system diseases. However, the role of PDE7 in regulating stress levels remains unclear. Thus, this study aimed to determine whether and how PDE7 involved in the stress-induced behavioral and neuron morphological changes. The single prolonged stress (SPS) was used to build a stress exposure model in C57BL/6 J mice and detected PDE7 activity in hippocampus, amygdala, prefrontal cortex and striatum. Next, three doses (0.2, 1, and 5 mg/kg) of the PDE7 inhibitor BRL-50481 were intraperitoneally administered for 10 days, then behavioral, biochemical, and morphological tests were conducted. PDE7 activity in hippocampus of mice significantly increased at all times after SPS. BRL-50481 significantly attenuated SPS induced anxiety-like behavior and fear response in both context and cue. In addition, BRL-50481 increased the levels of key molecules in the cAMP signaling pathway which were impaired by SPS. Immunofluorescent staining and Sholl analysis demonstrated that BRL-50481 also restored the nucleus/cytoplasm ratio of hippocampal neurons and improved neuronal plasticity. These effects of BRL-50481 were partially blocked by the TrkB inhibitor ANA-12. PDE7 inhibitors attenuate stress-induced behavioral changes by protecting the neuron cytoarchitecture and the neuronal plasticity in hippocampus, which is mediated at least partly through the activation of BDNF/TrkB signaling pathway. These results proved that PDE7 is a potential target for treating stress-induced behavioral and physiological abnormalities.

A new damage identification method is proposed to solve the problem of no correspondence between the element division form of the finite element model and the actual damage location. The three basic operators in the traditional genetic algorithm are improved, and the catastrophe and neighborhood search processes are introduced to enhance the local optimization ability of the algorithm. The train–rail–bridge coupling time-varying equation is established. Based on the dynamic response of the bridge under trainload, the damage index is constructed, and the corresponding objective function is given. Through a numerical example, the stability and convergence rate of the algorithm are statistically analyzed. The effects of noise, the number of measuring points, and train speed on the recognition results are discussed. The research results indicate that, even if the damage location is different from the element division form of the finite element model, this method can accurately locate the damage location, but it will affect the quantitative results to a certain extent. In addition, the convergence speed of this method is fast, and the computing efficiency is about 6.7 times that of the conventional one-time recognition method.

Mapping the connectivity of diverse neuronal types provides the foundation for understanding the structure and function of neural circuits. High-throughput and low-cost neuroanatomical techniques based on RNA barcode sequencing have the potential to map circuits at cellular resolution and a brain-wide scale, but existing Sindbis virus-based techniques can only map long-range projections using anterograde tracing approaches. Rabies virus can complement anterograde tracing approaches by enabling either retrograde labeling of projection neurons or monosynaptic tracing of direct inputs to genetically targeted postsynaptic neurons. However, barcoded rabies virus has so far been only used to map non-neuronal cellular interactions in vivo and synaptic connectivity of cultured neurons. Here we combine barcoded rabies virus with single-cell and in situ sequencing to perform retrograde labeling and transsynaptic labeling in the mouse brain. We sequenced 96 retrogradely labeled cells and 295 transsynaptically labeled cells using single-cell RNA-seq, and 4130 retrogradely labeled cells and 2914 transsynaptically labeled cells in situ. We found that the transcriptomic identities of rabies virus-infected cells can be robustly identified using both single-cell RNA-seq and in situ sequencing. By associating gene expression with connectivity inferred from barcode sequencing, we distinguished long-range projecting cortical cell types from multiple cortical areas and identified cell types with converging or diverging synaptic connectivity. Combining in situ sequencing with barcoded rabies virus complements existing sequencing-based neuroanatomical techniques and provides a potential path for mapping synaptic connectivity of neuronal types at scale. In the brain, messages are relayed from one cell to the next through intricate networks of axons and dendrites that physically interact at junctions known as synapses. Mapping out this synaptic connectivity – that is, exactly which neurons are connected via synapses – remains a major challenge. Monosynaptic tracing is a powerful approach that allows neuroscientists to explore neural networks by harnessing viruses which spread between neurons via synapses, in particular the rabies virus. This pathogen travels exclusively from ‘postsynaptic’ to ‘presynaptic’ neurons – from the cell that receives a message at a synapse, back to the one that sends it. A modified variant of the rabies virus can therefore be used to reveal the presynaptic cells connecting to a population of neurons in which it has been originally introduced. However, this method does not allow scientists to identify the exact postsynaptic neuron that each presynaptic cell is connected to. One way to bypass this issue is to combine monosynaptic tracing with RNA barcoding to create distinct versions of the modified rabies virus, which are then introduced into separate populations of neurons. Tracking the spread of each version allows neuroscientists to spot exactly which presynaptic cells signal to each postsynaptic neuron. So far, this approach has been used to examine synaptic connectivity in neurons grown in the laboratory, but it remains difficult to apply it to neurons in the brain. In response, Zhang, Jin et al. aimed to demonstrate how monosynaptic tracing that relies on barcoded rabies viruses could be used to dissect neural networks in the mouse brain. First, they confirmed that it was possible to accurately detect which version of the virus had spread to presynaptic neurons using both in situ and single-cell RNA sequencing. Next, they described how this information could be analysed to build models of potential neural networks, and what type of additional experiments are required for this work. Finally, they used the approach to identify neurons that tend to connect to the same postsynaptic cells and then investigated what these have in common, showing how the technique enables a finer understanding of neural circuits. Overall, the work by Zhang, Jin et al. provides a comprehensive review of the requirements and limitations associated with monosynaptic tracing experiments based on barcoded rabies viruses, as well as how the approach could be optimized in the future. This information will be of broad interest to scientists interested in mapping neural networks in the brain.