Systematic Theories Research Articles

Science Education for Girls in Korea, 1886–1910

The emergence of modern schools marked a significant transformation in women's education in Korea from the late nineteenth to the early twentieth centuries. For Western missionaries, building schools for girls was instrumental in their pursuit of evangelical objectives. The inception of Ewha Haktang (Ewha Girls’ School) in 1886 and Chŏngsin Yŏhakkyo (Chŏngsin Girls’ School) in 1887 aimed to mold Korean women into both devout Christians and adept homemakers. Gradually, the educational scope of mission schools expanded, encompassing a diverse array of scientific subjects, providing opportunities for women to pursue careers beyond the domestic realm. This study delves into the intricate construction of science education from 1886 until 1910 and highlights the pivotal role played by American female missionaries in shaping science as essential knowledge for women within their evangelical framework. Specifically, the article focuses on the development of physiology as a core subject that nurtured students’ interest in learning systematic theories of nature and the human body based on observation. While tracing how physiology became integral to science education for girls, this study argues that American female missionaries were the first to shape the initial encounter with modern science by mediating, translating, and educating physiology for women.

Systematic and quantitative testing simulations and theories on phase coarsening by experiments

Microgravity experiments on phase coarsening in solid-liquid mixtures provided an ideal tool to closely and accurately explore the kinetics of phase coarsening because the sedimentation and convective melt flow are eliminated in the International Space Station. In this study, we employed phase-field simulations to systematically investigate the microstructure evolution during phase coarsening at various volume fractions. Simulated microstructure evolution during phase coarsening are compared quantitatively with the microstructure evolution archived from microgravity experiments. Furthermore, kinetics of phase coarsening in Pb-Sn solid-liquid mixtures at various volume fractions is studied theoretically and numerically, which is compared with microgravity experiments. In particular, particle size distribution, relative coarsening rate constants, and scaled maximum particle radii, are predicted from theories, and deduced from microgravity experiments, then calculated from phase-field simulations. This systematic and quantitative study of phase coarsening confirms the consistency to the results from phase-field simulation, microgravity experiments and theories at lower volume fractions, and stimulates more careful microgravity experiments at higher volume fractions (≥0.7).

High‐Resolution Integral Imaging Display Using Targeted Optimized Compound Lens Array for Voxel Aliasing Elimination

AbstractIntegral imaging (InIm) 3D displays provide realistic 3D images with comfortable viewing experiences. However, existing approaches struggle to achieve high spatial resolution reproduction without relying on temporal or spatial multiplexing methods, which increases system complexity. Although precise control approaches for voxel formation have been explored to address this challenge, the existing methods lack systematic analysis theories for identifying the key factors affecting spatial resolution. In this study, a novel analysis framework is proposed that uses a point spread function (PSF) to characterize voxel formation. An analytical model based on the obtained PSF is established to achieve an aliasing‐free display. This framework identifies optimization directions for improving the spatial resolution, specifically by reducing the Gaussian blur caused by wavefront aberration in the lens unit. A targeted optimization of a compound lens array is conducted to achieve precise control of voxel formation. In these experiments, an InIm 3D display system prototype that substantially outperforms conventional InIm 3D displays is developed. The prototype achieves a 74.6% reduction in the system PSF and a 29.85% reduction in voxel size, enabling aliasing‐free voxels and a 2.82 times higher resolution in the InIm 3D display.

Bioactive Materials That Promote the Homing of Endogenous Mesenchymal Stem Cells to Improve Wound Healing.

Endogenous stem cell homing refers to the transport of endogenous mesenchymal stem cells (MSCs) to damaged tissue. The paradigm of using well-designed biomaterials to induce resident stem cells to home in to the injured site while coordinating their behavior and function to promote tissue regeneration is known as endogenous regenerative medicine (ERM). ERM is a promising new avenue in regenerative therapy research, and it involves the mobilizing of endogenous stem cells for homing as the principal means through which to achieve it. Comprehending how mesenchymal stem cells home in and grasp the influencing factors of mesenchymal stem cell homing is essential for the understanding and design of tissue engineering. This review summarizes the process of MSC homing, the factors influencing the homing process, analyses endogenous stem cell homing studies of interest in the field of skin tissue repair, explores the integration of endogenous homing promotion strategies with cellular therapies and details tissue engineering strategies that can be used to modulate endogenous homing of stem cells. In addition to providing more systematic theories and ideas for improved materials for endogenous tissue repair, this review provides new perspectives to explore the complex process of tissue remodeling to enhance the rational design of biomaterial scaffolds and guide tissue regeneration strategies.

Recent Research on Magnetic Machinery

Background: As a clean energy source, magnetic energy is a significant power source of mechanical equipment, which affects the direction of control mode and mechanical structure of mechanical equipment. Magnetic machinery is widely used in industrial power systems and automatic control systems as the power source of mechanical equipment transmission parts or actuators. Magnetic machinery is essential to make mechanical equipment easy to control, energy saving and environmental protection, simple structure, and so on. In order to innovate the control mode of mechanical equipment and optimize the types of traditional mechanical systems, magnetic machinery developed magnetic coupling, magnetic gear, magnetic spring, and other magnetic machinery. The characteristics of magnetic machines with different functions are analyzed based on the types of magnetic machines. Therefore, this aspect's development and application are getting more attention in recent years. To innovate the control mode of mechanical equipment and optimize the types of traditional mechanical structures, magnetic types of machinery, such as magnetic coupling, magnetic gear, and magnetic spring, are making continuous progress. New magnetic machines are also being developed. This paper summarizes the typical patents on three kinds of magnetic machinery: magnetic coupling, magnetic gear and magnetic spring. In addition, the advantages of existing magnetic machinery are summarized, the current situation of magnetic machinery is analyzed, and the development of magnetic machinery is summarized. Through the analysis of enormous patents of magnetic coupling, magnetic gear, and magnetic spring, it is concluded that although there are many kinds of magnetic machinery, there are no systematic and mature design theories and methods. The development trend of magnetic machinery is also discussed. The research on magnetic machinery helps innovate mechanical equipment's control mode and optimize the types of traditional mechanical structures. As a result, more patents will be invented in the future.

The Evolution of Pop Art and Its Application to the Urban Landscape —— The example of the landscape design work of Martha Schwartz

Taking the development of Pop Art to Post Pop Art as a clue, the urban landscape has gradually given city dwellers different sensory experiences and begun to lead people’s lifestyles. Few people have collated the correlation between the evolution of Pop Art and the landscape design works of Martha Schwartz, and there is no systematic study of Pop Art landscape on urban development. Through the analysis of different design techniques in early Pop Art, New Pop Art and Post Pop Art, and the in-depth analysis of Martha Schwartz who is the representative figure of Pop Art landscape, the influence of Pop Art landscape on urban development is excavated. The study summarizes systematic theories and design methods, and provides ideas for future innovation in urban landscape design.

Introducing Sources of Self-efficacy and Dysfunctional Career Beliefs in Socio-cognitive Career Theory in Entrepreneurship

A missing link between entrepreneurship education and career choices is how and when alumni decide to behave entrepreneurially. This question pertains to the impact of entrepreneurship education as envisaged in various educational policies. The vast majority of relevant studies have examined the concepts of entrepreneurial self-efficacy and entrepreneurial intention across courses and audiences worldwide. A recent trend adopts more systematic career development theories as the social cognitive career theory (SCCT). In this line, the present article provides new insights in SCCT models including the construct of dysfunctional career beliefs that represents an essential element in career decision-making. The article presents a small-scale quantitative research through a sample of Greek adults aimed to examine the relations between entrepreneurial intention and dysfunctional career beliefs as well as the informational sources of self-efficacy representing fundamental premises of SCCT. The pilot findings show that “significant others”, a dimension of dysfunctional career beliefs, influence the entrepreneurial career decision process as an extraneous personal parameter. Linear multiple regression analysis demonstrated that positive emotions, mastery experiences and the perceptions regarding significant others’ influence in career decision-making significantly predicted entrepreneurial intention. It is also shown that influence from significant others moderates the relationship between positive emotions and entrepreneurial intention, that is, intensifying the previous relationship when influence of significant others is low and decreasing it when this influence is high. These findings are discussed in the context of entrepreneurial career decision making with implications to educational and career counselling practices.

Heuristic construction of field line random walk diffusion coefficients

To understand the statistics of magnetic field lines in turbulence is complicated. Previous descriptions have been based on either pure numerical treatments, often called simulations, or analytical theory. In the latter case one operates with nonlinear integral or differential equations which are difficult to solve. In order to achieve a complete analytical description, one needs to employ a set of approximations which are often difficult to justify. Although, previously developed numerical and analytical treatments of field line random walk agree with each other, they do not provide simple arguments for the analytical form of field line diffusion coefficients. It is the purpose of the current article to derive field line random walk coefficients entirely based on simple heuristic arguments. Special cases such as slab, two-dimensional, three-dimensional, and two-component turbulence are considered. Heuristically constructed diffusion parameters are compared with previously obtained analytical results. It is shown that the heuristic arguments provide the same scaling behavior as the formulas derived by employing systematic analytical theories.

Adam Smith on Aesthetic Imagination and Scientific Enquiry

Abstract In two posthumously published essays, ‘History of Astronomy’ and ‘Of the Nature of that Imitation which takes place in what are called The Imitative Arts’, Adam Smith suggests provocatively that philosophy is an ‘art of imagination’ and that we take the same ‘very high intellectual pleasure’ in appreciating systematic scientific theories and in listening to musical ‘systems’, i.e., complex works of non-programmatic instrumental music. In this paper, I reconstruct the view of imagination, as the cognitive faculty primarily responsible for perception and appreciation of such ‘systems’, that undergirds these claims, and argue that it is to be understood as aiming at ideal ends – in the first instance, at beauty or an order among variety (systematicity). Smith thus offers a distinctive view of aesthetic imagination, as neither freely playing nor imitative (two common views of imagination both in his time and ours) but rather as aiming at, and progressively realizing non-rational norms of order (again, at least in the first instance, an ideal of beauty).

Status Quo and Prospects of Research on Precision Nursing of Life-Cycle Health and Disease

With the changing lifestyle and spectrum of diseases among Chinese people, the life-cycle approach to health has been given national strategic importance. Over the past decade, global nursing researchers have gradually started to pay more attention to the research related to precision nursing at different stages of the life cycle. Researchers have applied multi-omics to explore the pathogenesis and novel biomarkers of relevant symptoms in tumor patients or patients with chronic diseases in order to manage symptoms with better precision. However, systematic theories of precision nursing of life-cycle health and disease have not yet been developed, and the research field and its implications still need to be continuously expanded and innovated. In the nursing discipline, the advantages of interdisciplinary integration should be given full play and the precise and effective resolution of life-cycle health problems should be taken as its goal. Through accurately defining key quantitative objective indicators of nursing care, the nursing discipline will be able to achieve early identification of life-cycle health problems, clarify the occurrence and patterns of change in life-cycle health problems, and gain a better understanding of the regulatory mechanisms. Precise and effective nursing-related technologies and products of non-medication and non-surgery nature should be developed to achieve better precision in nursing interventions, thereby effectively promoting recovery from diseases and improving the overall health of the people.

Effects of service attributes and competition on electronic word of mouth: an elaboration likelihood perspective.

The management of electronic word of mouth (eWOM) is critical in e-commerce. In this study, on the basis of the elaboration likelihood model (ELM), we constructed a model of factors influencing eWOM by dividing merchants' attributes into the central and peripheral routes, which correspond to consumers' systematic and heuristic cognitive modes respectively. We then tested the developed model by using a cross-sectional data set. The results of this study indicate that the degree of competition faced by merchants has a significant negative association with eWOM. Moreover, price level and location moderate the relationship between competition and eWOM. The services of reservation and group buying have positive associations with eWOM. This research has three main contributions. First, we explored the effect of competition on eWOM. Second, we validated the feasibility of applying the ELM to the catering industry by dividing merchant attributes into the central and peripheral routes; this approach is consistent with systematic and heuristic cognitive theories. Finally, this research provides practical suggestions for eWOM management in the catering industry.

Future urban transport management

The incorporation of disruptive innovations into the transportation industry will inevitably cause major upheavals in the transportation sector. However, existing research lacks systematic theories and methodologies to represent the underlying characteristics of future urban transport systems. Furthermore, emerging modes in urban mobility have not been sufficiently studied. The National Natural Science Foundation of China (NSFC) officially approved the Basic Science Center project titled “Future Urban Transport Management” in 2022. The project members include leading scientists and engineers from Beijing Jiaotong University, Beihang University, and Beijing Transport Institute. Based on a wide range of previous projects by the consortium on urban mobility and sustainable cities, this project will encompass transdisciplinary and interdisciplinary research to explore critical issues affecting future urban traffic management. It aims to develop fundamental theories and methods based on social and technological developments in the near future and explores innovative solutions to implement alongside these emerging developments in urban mobility.

Review of optimization methods for supervised deep learning

随着大数据的普及和算力的提升，深度学习已成为一个热门研究领域，但其强大的性能过分依赖网络结构和参数设置。因此，如何在提高模型性能的同时降低模型的复杂度，关键在于模型优化。为了更加精简地描述优化问题，本文以有监督深度学习作为切入点，对其提升拟合能力和泛化能力的优化方法进行归纳分析。给出优化的基本公式并阐述其核心；其次，从拟合能力的角度将优化问题分解为3个优化方向，即收敛性、收敛速度和全局质量问题，并总结分析这3个优化方向中的具体方法与研究成果；从提升模型泛化能力的角度出发，分为数据预处理和模型参数限制两类对正则化方法的研究现状进行梳理；结合上述理论基础，以生成对抗网络（generative adversarialnetwork，GAN）变体模型的发展历程为主线，回顾各种优化方法在该领域的应用，并基于实验结果对优化效果进行比较和分析，进一步给出几种在GAN领域效果较好的优化策略。现阶段，各种优化方法已普遍应用于深度学习模型，能够较好地提升模型的拟合能力，同时通过正则化缓解模型过拟合问题来提高模型的鲁棒性。尽管深度学习的优化领域已得到广泛研究，但仍缺少成熟的系统性理论来指导优化方法的使用，且存在几个优化问题有待进一步研究，包括无法保证全局梯度的Lipschitz限制、在GAN中找寻稳定的全局最优解，以及优化方法的可解释性缺乏严格的理论证明。;Deep learning technique has been developing intensively in big data era. However，its capability is still challenged for the design of network structure and parameter setting. Therefore，it is essential to improve the performance of the model and optimize the complexity of the model. Machine learning can be segmented into five categories in terms of learning methods：1）supervised learning，2）unsupervised learning，3）semi-supervised learning，4）deep learning，and 5） reinforcement learning. These machine learning techniques are required to be incorporated in. To improve its fitting and generalization ability，we select supervised deep learning as a niche to summarize and analyze the optimization methods. First，the mechanism of optimization is demonstrated and its key elements are illustrated. Then，the optimization problem is decomposed into three directions in relevant to fitting ability：1）convergence，2）convergence speed，and 3）globalcontext quality. At the same time，we also summarize and analyze the specific methods and research results of these three optimization directions. Among them，convergence refers to running the algorithm and converging to a synthesis like a stationary point. The gradient exploding/vanishing problem is shown that small changes in a multi-layer network may amplify and stimuli or decline and disappear for each layer. The speed of convergence refers to the ability to assist the model to converge at a faster speed. After the convergence task of the model，the optimization algorithm to accelerate the model convergence should be considered to improve the performance of the model. The global-context quality problem is to ensure that the model converges to a lower solution（the global minimum）. The first two problems are local-oriented and the last one is global-concerned. The boundary of these three problems is fuzzy，for example，some optimization methods to improve convergence can accelerate the convergence speed of the model as well. After the fitting optimization of the model，it is necessary to consider the large number of parameters in the deep learning model as well，which can cause poor generalization effect due to overfitting. Regularization can be regarded as an effective method for generalization. To improve the generalization ability of the model，current situation of regularization methods are categorized from two aspects：1）data processing and 2）model parameters-constrained. Data processing refers to data processing during model training，such as dataset enhancement，noise injection and adversarial training. These optimization methods can improve the generalization ability of the model effectively. Model parameters constraints are oriented to parameters-constrained in the network，which can also improve the generalization ability of the model. We take generative adversarial network（GAN）as the application background and review the growth of its variant model because it can be as a commonly-used deep learning network. We analyze the application of relevant optimization methods in GAN domain from two aspects of fitting and generalization ability. Taking WGAN with gradient penalty（WGAN-GP）as the basic model，we design an experiment on MNIST-10 dataset to study the applicability of the six algorithms（stochastic gradient method（SGD），momentum SGD，Adagrad，Adadelta， root mean square propagation（RMSProp），and Adam）in the context of deep learning based GAN domain. The optimization effects are compared and analyzed in relevant to the experimental results of multiple optimization methods on variants of GAN model，and some GAN-based optimization strategies are required to be clarified further. At present，various optimization methods have been widely used in deep learning models. Various optimization methods to improve the fitting ability can improve the performance of the model. Furthermore，these regularized optimization methods are beneficial to alleviate the problem of model overfitting and improve the robustness of the model. But，there is still a lack of systematic theories and mechanisms for guidance. In addition，there are still some optimization problems to be further studied. The Lipschitz limitation of global gradients is not guaranteed in deep neural networks due to the gap between theory and practice. In the field of GAN，there is still a lack of theoretical breakthroughs to find the stable global optimal solution，that is，the optimal Nash equilibrium. Moreover，some of the existing optimization methods are empirical and its interpretability is lack of clear theoretical proof. There are many and complex optimization methods in deep learning. The use of various optimization methods should be focused on the integrated effect of multiple optimizations. Our critical analysis is potential to provide a reference for the optimization method selection in the design of deep neural network.

Space Reproduction in Urban China: Toward a Theoretical Framework of Urban Regeneration

As China’s urbanization enters the middle and late stages, urban regeneration has risen to the strategic level of building a new national development pattern and promoting high-quality urban development. Due to the wide range of disciplines and content involved in urban regeneration, there remains a lack of systematic and comprehensive theories and frameworks to lay a theoretical foundation for academic research and provide guidance for renewal practice. Therefore, this paper aims to construct a systematic and comprehensive theoretical framework of urban regeneration from the perspective of space reproduction, by employing the theory of the production of space as the basis of interdisciplinary research, and integrating related theories and research. The current paper proposes a theoretical framework that includes four core elements, namely the government, the market, society and space reproduction. Subsequently, the paper summarizes the subject, power, capital and interest of the three types of stakeholders (government, market, and society), their different emphases in the reproduction mechanism, and their various cooperative modes in practices. Meanwhile, under the concept of sustainable development and “people-oriented” approach, this paper emphasizes the importance of social factors and the suitability of the multi-stakeholder co-governance model of government, market and society.

Secondary through-space interactions facilitated single-molecule white-light emission from clusteroluminogens

Clusteroluminogens refer to some non-conjugated molecules that show visible light and unique electronic properties with through-space interactions due to the formation of aggregates. Although mature and systematic theories of molecular photophysics have been developed to study conventional conjugated chromophores, it is still challenging to endow clusteroluminogens with designed photophysical properties by manipulating through-space interactions. Herein, three clusteroluminogens with non-conjugated donor-acceptor structures and different halide substituents are designed and synthesized. These compounds show multiple emissions and even single-molecule white-light emission in the crystalline state. The intensity ratio of these emissions is easily manipulated by changing the halide atom and excitation wavelength. Experimental and theoretical results successfully disclose the electronic nature of these multiple emissions: through-space conjugation for short-wavelength fluorescence, through-space charge transfer based on secondary through-space interactions for long-wavelength fluorescence, and room-temperature phosphorescence. The introduction of secondary through-space interactions to clusteroluminogens not only enriches their varieties of photophysical properties but also inspires the establishment of novel aggregate photophysics for clusteroluminescence.

Mozi’s Doctrines of “Opposing Military Aggression” and “Impartial Love” and Kant’s “Perpetual Peace”

Abstract Mozi and Immanuel Kant are two of the best-known philosophers in history to have meditated on the topics of war and peace. Their philosophical outlooks on the origins of conflict and on ways to prevent war and preserve peace for all humankind are similar. But conceptual differences reveal the distinct cultures from which they emerged. Governed by a clear-cut opposition to war, Mozi’s thought remains unique. The propositions of “impartial love” and “opposing military aggression” are grounded in this belief, and so are Mozi’s effective defense theories and his practice of pacifism, as well as his rational and reflective approach to overcoming warfare – that is, how to go from a state of passive peace to active peace. Kant’s program of “perpetual peace” is similar in many regards to Mozi’s thinking, but it is also more revealing of the modernity of its own logic, especially because it refers to notions such as democracy, government, and institutions, which are in turn rooted in the more systematic theories advanced in Kant’s Three Critiques. The ideas of both philosophers profoundly influenced human history, and their value and brilliance are still celebrated today. However, many regions of the world remain afflicted by unceasing conflict between religious or ethnic groups. This is precisely why it can still prove valuable for us to carefully consider the intellectual legacy of two of the greatest thinkers in history. The limitations of their philosophies, especially when it comes to the new challenges now faced by humanity, offer an opportunity for pondering historical issues and modern solutions.

Translating linguistic time

If Sartre is right and the tense of a text holds the key to its special strangeness (1947), how does this strangeness fare in translation? What can we learn from looking at the translation of grammatical tense and aspect in narrative texts in different languages? It is often simply assumed that translating grammatical cate gories of time in languages - because it has to do with what is considered the hard core of language, i.e. the grammar as opposed to the lexicon of the language - mainly involves mere linguistic constraints. Jakobson ’s famous motto (1987: 433) - “languages differ essentially in what they must convey and not in what they can convey”- would therefore suffice to tell the whole story about the way in which linguistic time is translated. This paper argues, however, that this is not the whole story: it argues that the choice of tense in translation is more than just a grammatical agenda, and may actually reflect a number of different commitments. Section 2 examines some intriguing tense changes in the translation of children ’s literature: it discusses the motivations behind these changes and shows that by changing the ‘how’ of the original story through the tense choice the entire subjective perspective of the text is altered. Section 3 identifies a few patterns in the translation of past distinctions in Modern Hebrew. It suggests that in contrast to the more diversified means of translating aspectual meanings in previous decades, a major trend in the last decade or so has been to reduce all past sphere distinctions essentially to one single form, i.e. the simple past tense. Finally section 4 deals with the classical problem regarding the Biblical Hebrew tenses and their translation; it shows that the translation of the biblical verbs may be strongly determined by the different linguistic ideas (and even systematic theories) the translators adopt regarding the Biblical Hebrew tenses. In all these cases then, we observe that the translation of temporal meanings involves not only a commitment to specific temporal interpretations but also a commitment to more subtle conceptions of subjectivity in translation, of literary conventions and linguistic ideas.

Between Action and Emotional Survival During the COVID-19 era: Sensorimotor Pathways as Control Systems of Transdiagnostic Anxiety-Related Intolerance to Uncertainty.

Objectives: The COVID-19 pandemic and aligned social and physical distancing regulations increase the sense of uncertainty, intensifying the risk for psychopathology globally. Anxiety disorders are associated with intolerance to uncertainty. In this review we describe brain circuits and sensorimotor pathways involved in human reactions to uncertainty. We present the healthy mode of coping with uncertainty and discuss deviations from this mode.Methods: Literature search of PubMed and Google Scholar.Results: As manifestation of anxiety disorders includes peripheral reactions and negative cognitions, we suggest an integrative model of threat cognitions modulated by sensorimotor regions: “The Sensorimotor-Cognitive-Integration-Circuit.” The model emphasizes autonomic nervous system coupling with the cortex, addressing peripheral anxious reactions to uncertainty, pathways connecting cortical regions and cost-reward evaluation circuits to sensorimotor regions, filtered by the amygdala and basal ganglia. Of special interest are the ascending and descending tracts for sensory-motor crosstalk in healthy and pathological conditions. We include arguments regarding uncertainty in anxiety reactions to the pandemic and derive from our model treatment suggestions which are supported by scientific evidence. Our model is based on systematic control theories and emphasizes the role of goal conflict regulation in health and pathology. We also address anxiety reactions as a spectrum ranging from healthy to pathological coping with uncertainty, and present this spectrum as a transdiagnostic entity in accordance with recent claims and models.Conclusions: The human need for controllability and predictability suggests that anxiety disorders reactive to the pandemic's uncertainties reflect pathological disorganization of top-down bottom-up signaling and neural noise resulting from non-pathological human needs for coherence in life.

Michel Leiris and the Secret Language of Song

Best known for his reminiscences of artistic and intellectual life in midcentury Paris and for his chronicle of the 1931 Dakar-Djibouti mission, L’Afrique fantôme (1934), Michel Leiris also wrote obsessively about music, turning to imperfectly recalled fragments of song and opera to evoke key moments of early childhood and to explore affective relationships. This article focuses on two episodes from Leiris’s writings to demonstrate that his highly emotional and anecdotal mode of writing about music anticipates, and quite possibly influenced, the more systematic theories of voice, sound, and language of Roland Barthes and Jacques Derrida. Derrida engaged directly with Leiris in his essay “Tympan” (in The Margins of Philosophy), which quotes at length a text by Leiris on the cognitive and relational dimensions of hearing and writing. Leiris’s experience in the 1930s and 40s developing a lexicon and grammar for the ritual language of the Dogon people of Mali, I argue, fundamentally shaped his conviction that both music and language are most communicative when they permeate and destabilize each other.

Analysis of influencing factors of stimulated reservoir volume (SRV) and zipper fracturing simulation in shale oil reservoirs of Hu326 Well area

Horizontal Well SRV of intensive stage and high–intensity for shale oil reservoirs of Hu326, which are different beddings and develop natural fractures locally, is conducive to the formation of complex fracture network with the intersection of main fractures, natural fractures, bedding fractures and other secondary fractures. At present, although there are systematic theories and methods for the study on the extension of hydraulic fracture after intersecting natural fractures and bedding planes, there is no quantitative research on specific parameters, and the research results are not applicable to actual exploitation. Based on the characteristics of shale oil reservoirs and combined with the theory of formation strength with weak surface, this article discusses the formation mechanism of fracture network of jimusar shale oil reservoir and improves the extension law of hydraulic fractures after intersecting with natural fractures and bedding planes. And taking the jimusar shale oil reservoir as the object, the extension law of hydraulic fracture is analysed and the geomechanical influencing factors and engineering control parameters of SRV are determined. The research results provide theoretical basis and parameter guidance for SRV of jimusar shale oil reservoir.