Natural Interpretation Research Articles

Old English terminological word-complexes in natural philosophic worldview (exemplified by terms of astronomy)

The research focuses on the study of terminological word-complexes in Old English. Following a complex multidisciplinary approach, it addresses the linguistic evidence from the viewpoint of terminology, phraseology and linguoculturology. The article analyzes the role of terminological word- complexes from the Anglo-Saxon Manual of Astronomy in the semiotic segment of natural philosophy in the Pre-Norman linguistic community of England. The research is conducted mainly within the framework of linguocultural approach. The 27 terminological word-complexes under analysis belong to the sphere of theoretical and observational astronomy and are taken from the text of the 10th century Anglo-Saxon Manual of Astronomy. The system of methods includes analysis of dictionary definitions, componential analysis, phraseological identification, contextual analysis, etc. The research proceeds from the assumption that Old English astronomic terms subsume culturally significant information on the Early Medieval prescientific worldview. Most terms are substantive phrases denoting heavenly bodies and their characteristics, peculiarities of the Universe’s physical structure, and events of the astronomic calendar. A number of inherent characteristics, such as recurrence of use and metaphoric transformation of the components’ semantics allow for treating the terminological word-complexes as phraseological entities. The entirety of word-complexes falls into two groups of word-combinations of idiomatic and phraseomatiс type. The research consecutively puts to scrutiny the terminological word-complexes verbalizing the concepts ‘heavenly body’, ‘outer space’, and ‘orbital rotation’. Attention is paid to the volume and character of culturally significant information conveyed by the astronomical terms in context and demonstrating the natural philosophical interpretation of the physical world structure as different from the modern scientific views. A conclusion is made that further research of phraseologically bound terminological word-complexes pertaining to various spheres of knowledge is needed to reconstruct the complete picture of natural philosophic worldview for the benefit of phraseology, terminology, linguoculturology and history of English.

Is this work? Revisiting the definition of work in the 21st century

PurposeThe purpose of the study was to specify the perceived outdated nature and lack of definitional clarity associated with the concept of work and further to outline that the nature of work has dramatically changed in the 21st century, while definitions of work referenced in research remain those that were dominant in the previous century. Lastly, the study aimed to propose an updated conceptualisation and definition of work to aid future research.Design/methodology/approachA scoping literature review was adopted as the methodology guiding the study. A scoping review is particularly suited to identifying the conceptual boundaries on a given multi-disciplinary topic and is used to map the key concepts underpinning a research area as well as to clarify working definitions.FindingsNine main themes underpinning the concept of work were extracted from the extant literature. These were assimilated with contemporary literature across multiple disciplines. Contexts of work as they relate to dimensions of work and workspace are developed and visualised. A proposed contemporary definition of work is presented.Research limitations/implicationsThe aim of the study was to address the problem with current and future research continuing to refer to traditional conceptualisations of work, while the nature of work has dramatically changed. The findings are preliminary and intended to stimulate further discourse towards a greater consensus of a definition. The implications of proposing an updated definition of work is that it is intended to better inform future research reflective of its multi-disciplinary and significantly changed nature.Practical implicationsThe implications to practice are the main impetus of this study. The authors found that research associated with work was being confounded by traditional and outdated interpretations, excluding alternative forms of work or not recognising its multi-dimensionality. It is proposed by the paper that an updated conceptualisation of the nature of work in this era, as it is reflected across disciplines and practice, would positively contribute to the understanding, management and conceptualisation of work in practice.Originality/valueA systematic literature review across disciplines of the definition of work will reveal the outdated nature and disparate interpretation of the concept of work. An inclusive, multi-disciplinary and contemporary definition of work has not been suggested. This scoping review was conducted to address this problem and gap in the literature. Further, this paper presents a multi-dimensional and spatial conceptualisation of work that is proposed to better inform future research and practice associated with work.

The Everything-Is-a-Quantum-Wave Interpretation of Quantum Physics

In this paper, I would like to outline what I think is the most natural interpretation of quantum mechanics. By natural, I simply mean that it requires the least amount of excess baggage and that it is universal in the sense that it can be consistently applied to all the observed phenomena, including the universe as a whole. I call it the “Everything is a Quantum Wave” Interpretation (EQWI) because I think this is a more appropriate name than the Many Worlds Interpretation (MWI). The paper explains why this is so.

An entropy-based measure of correlation for time series

In this paper, an information-based measure of association between time series, called information-based correlation coefficient (ICC), is introduced to potentially overcome some of the problems related to Pearson's correlation coefficient and other commonly used coefficients. The ICC, besides its simple definition, seems to have other interesting advantages over traditional correlation coefficients, such as a more natural interpretation in terms of the reciprocal informativeness between two series, higher reliability for independent white noise, Student's t, and AR(1) processes, higher reliability in the presence of spurious correlation and outliers, and a well-developed mathematical theory based on entropy. The ICC can also detect a number of nonlinear relationships, although it may not be equitable and general. Moreover, the ICC can be computed also for ordinal data, and it offers higher reliability for independent ordinal-valued time series. Monte Carlo simulations, applications to real data, properties of the estimator and asymptotics under independence are also discussed in this paper. In particular, the paper includes applications to signal processing, chaotic time series, macroeconomic and weather data.

Research on Aesthetic Orientation of painting themes of Lingnan Temple Monks in Ming and Qing Dynasties

Monk painting is an important part of Chinese painting art and a unique cultural phenomenon in Chinese art history. Monks in successive dynasties have made great achievements in landscape painting, figures, flowers and animals. These eminent monks who have entered the Buddhist gate often have a deep understanding of traditional Chinese culture, a more thorough insight, understanding and interpretation of human and nature, and a more lofty perspective. Their works are obviously different from other kinds of paintings. The selection of painting themes is not random, but careful consideration based on life experience and emotional expression. They not only contain the artist's clever conception of objective objects, but also embody rich emotion and aesthetic consciousness. In the study of the aesthetic orientation of the painting themes of Lingnan monks in the Ming and Qing dynasties, the elements and means commonly used in the paintings of monks can be regarded as a form of the use of image symbols. This paper will try to use the research method of image semiotics to analyze its theme orientation from the perspective of painting specialty, trying to clarify the unique artistic features of the paintings of Lingnan monks in the Ming and Qing dynasties, and then reveal the uniqueness of the theme orientation of the paintings of Lingnan monks in the Ming and Qing dynasties.

What drives cryptocurrency returns? A sparse statistical jump model approach

We apply the statistical sparse jump model, a recently developed, interpretable and robust regime-switching model, to infer key features that drive the return dynamics of the largest cryptocurrencies. The algorithm jointly performs feature selection, parameter estimation, and state classification. Our large set of candidate features are based on cryptocurrency, sentiment and financial market-based time series that have been identified in the emerging literature to affect cryptocurrency returns, while others are new. In our empirical work, we demonstrate that a three-state model best describes the dynamics of cryptocurrency returns. The states have natural market-based interpretations as they correspond to bull, neutral, and bear market regimes, respectively. Using the data-driven feature selection methodology, we are able to determine which features are important and which ones are not. In particular, out of the set of candidate features, we show that first moments of returns, features representing trends and reversal signals, market activity and public attention are key drivers of crypto market dynamics.

The Fractal Approach in the Biomimetic Urban Design: Le Corbusier and Patrick Schumacher

Biomimetic design process approaches have been emphasized systematically as a result of works among disciplines of current technology and biological science. In order to find solutions for a decrease in biodiversity, pollution, and issues of the ecosystem, the nature experience shows itself in areas of biomimetic products, architecture, and urban designs in which nature-focused invasions are basically being imitated. Nature-focused designs have set their own framework by examining forms of different nature dynamics (scale, function, formation process) by presenting a sustainable environment. It can be seen that designs are made real by adhering to the resolution of forms, understanding, and interpretation of nature and by embracing fractal designs with the effort of creating a sustainable environment. In this study, emphasis was placed on revealed nature-based design approaches. The article addresses biomimetic design processes, reveals the role of fractal parameters in the design process, and examines the use of biomimetic approaches. By drawing attention to the importance of studying and understanding these internal dynamics, the contribution of natural inspiration and fractal concepts to the design process is examined. We examine research related to the concept of biomimetics, creation/development of conceptual proposals, and analysis of the established theoretical proposal through selected urban design examples in order to determine the respective overlaps between these areas. Our study takes the form of an analysis of the formal organization of living things together with a formal analysis focusing on the design principles. We try to analyze the design principles and the changes in the principles, and discuss the resulting data within the framework of these concepts. The urban designs of Le Corbusier and Patrick Schumacher, who are important names of the 20th century, were examined in line with the findings obtained in terms of biomimesis levels, namely, the organism level, behavior level, ecosystem level, and functional level. Comparisons of urban design approaches are made using the meta-analysis method with respect to findings obtained as a result of an examination of the golden ratio, modular system, fractal, and parameter concepts of urban design. For this reason, when the fractal concept, which is one of the dynamics of biomimetic-oriented nature, is handled with biomimetic levels and its contribution to the design processes is investigated, we are able to determine that it has important parameters in terms of sustainability. This study aims to contribute to the field of industrial products and urban design disciplines in architectural design.

Rudolph Hermann Lotze's philosophically informed psychology.

This essay deals with four main topics: the notion of philosophical psychology; the idea that physical events and mental events cannot be compared to one another; psychophysical mechanism; and the theory of local signs. These are all key elements in the Medicinische Psychologie of Rudolph Hermann Lotze (1817-1881). By philosophical psychology, Lotze understands not only the collection of experimental data regarding physiological and mental states but also their philosophical processing outlining an interpretation of the real nature of the mind-body connection. Within this framework, Lotze introduces the psychophysical mechanism as based on a key philosophical idea: mind and body are incomparable, but, nevertheless, they are in reciprocal relation (Wechselwirkung). In virtue of said special relation, movements that take place in the mental sphere of reality are transferred or translated in the bodily sphere and vice versa. This rearrangement (Umgestaltung) from one sphere of reality to the other is termed by Lotze "transformation to equivalent." Through the concept of equivalence, Lotze supports the idea that the mind and the body form an organic whole. However, psychophysical mechanisms should not be seen as not a fixed series of physical changes followed by an equally fixed series of mental changes: physical changes are "read," organized, and then transformed by the mind into something purely mental. This, in turn, produces new mechanical force and more physical changes. Lotze's legacy and long-term impact is finally read against the background of his contributions.

The Origin of the Chiral gauche-Conformation Preferences in Chloromethyl Methyl Ether and Analogues Containing S and Se Atoms: A Hybrid-Density Functional Study and Natural Bond Orbital Interpretation

The Origin of the Chiral gauche-Conformation Preferences in Chloromethyl Methyl Ether and Analogues Containing S and Se Atoms: A Hybrid-Density Functional Study and Natural Bond Orbital Interpretation

An Automated Approach to the Collatz Conjecture

We explore the Collatz conjecture and its variants through the lens of termination of string rewriting. We construct a rewriting system that simulates the iterated application of the Collatz function on strings corresponding to mixed binary–ternary representations of positive integers. We prove that the termination of this rewriting system is equivalent to the Collatz conjecture. We also prove that a previously studied rewriting system that simulates the Collatz function using unary representations does not admit termination proofs via natural matrix interpretations, even when used in conjunction with dependency pairs. To show the feasibility of our approach in proving mathematically interesting statements, we implement a minimal termination prover that uses natural/arctic matrix interpretations and we find automated proofs of nontrivial weakenings of the Collatz conjecture. Although we do not succeed in proving the Collatz conjecture, we believe that the ideas here represent an interesting new approach.

Revisiting Reentry Roll Resonance

This paper revisits the subject of reentry roll resonance, which occurs when the roll rate and pitch frequency become equal in a spinning reentry vehicle. A first-principles model is developed and analyzed numerically and by using a reduced-order pendulum model for the relative phase of the roll and pitch/yaw axes. The results show good qualitative agreement with recent flight data and provide a natural physical interpretation. Based on the model it is suggested that sustained roll resonance depends primarily on the initial phase relationship between the pitch and roll axes, in addition to the vehicle moments of inertia and the vehicle symmetry. Finally the model is used to propose a mechanism for sustained resonance in vehicles spinning about a major axis, a condition previously thought to be forbidden.

Gaussian process hydrodynamics

We present a Gaussian process (GP) approach, called Gaussian process hydrodynamics (GPH) for approximating the solution to the Euler and Navier-Stokes (NS) equations. Similar to smoothed particle hydrodynamics (SPH), GPH is a Lagrangian particle-based approach that involves the tracking of a finite number of particles transported by a flow. However, these particles do not represent mollified particles of matter but carry discrete/partial information about the continuous flow. Closure is achieved by placing a divergence-free GP prior ξ on the velocity field and conditioning it on the vorticity at the particle locations. Known physics (e.g., the Richardson cascade and velocity increment power laws) is incorporated into the GP prior by using physics-informed additive kernels. This is equivalent to expressing ξ as a sum of independent GPs ξl, which we call modes, acting at different scales (each mode ξl self-activates to represent the formation of eddies at the corresponding scales). This approach enables a quantitative analysis of the Richardson cascade through the analysis of the activation of these modes, and enables us to analyze coarse-grain turbulence statistically rather than deterministically. Because GPH is formulated by using the vorticity equations, it does not require solving a pressure equation. By enforcing incompressibility and fluid-structure boundary conditions through the selection of a kernel, GPH requires significantly fewer particles than SPH. Because GPH has a natural probabilistic interpretation, the numerical results come with uncertainty estimates, enabling their incorporation into an uncertainty quantification (UQ) pipeline and adding/removing particles (quanta of information) in an adapted manner. The proposed approach is suitable for analysis because it inherits the complexity of state-of-the-art solvers for dense kernel matrices and results in a natural definition of turbulence as information loss. Numerical experiments support the importance of selecting physics-informed kernels and illustrate the major impact of such kernels on the accuracy and stability. Because the proposed approach uses a Bayesian interpretation, it naturally enables data assimilation and predictions and estimations by mixing simulation data and experimental data.

Learning Deep Co-Occurrence Features

We exploit the computational capability of deep convolutional neural network (CNN) architecture and the natural interpretability of the co-occurrence matrix (CM) to learn deep co-occurrence features (DCOFs). The DCOFs represent the statistics of the co-occurrences of pixels thus overcoming the black box nature of traditional deep representation learning while at the same time solving the inherent computational difficulty of CM. We propose a parametric co-occurrence matrix (PCM) model to approximate the CM with multivariate Gaussian functions, and have developed three approaches to decomposing the PCM model into linear and nonlinear operations such that the model can be easily implemented using standard CNN operations and to learn the DCOFs of arbitrary shapes. The CNN implementation of the PCM model, termed PCMCNN, can be used as a standard plugin module of a deep learning system and adaptively learns the DCOFs for downstream applications. We demonstrate the broad applicability of the DCOFs and their effectiveness in fine-grained image classification tasks such as texture classification and GAN (generative adversarial network) image detection. The introduction of the PCMCNN module makes it much more compact and efficient than conventional implementations of deep learning models, achieving comparable classification performances to state of the art methods on a variety of benchmarking datasets with models that are more than 30 folds smaller and 11 times less complex. The small model size for learning the DCOFs makes the new method particularly effective for few shot classification of large number of texture categories where the small number of training samples can easily cause traditional deep learning models to overfit. This work shows the potential benefits of combining the principles of traditional handcrafted features and deep representation learning to take advantage of both for advancing state of the art.

Naturvetenskapernas karaktär som redskap för inkluderande undervisning i biologi

This article presents experiences of using selected aspects of Nature of Science as guidelines for inclusive science education in biology at the upper-secondary level in the Swedish school system. First, the purpose and background of the project is described, along with a discussion on inclusive science education and the specific interpretation of Nature of Science used. Then, some concrete examples of tasks and teaching strategies used are provided. Finally, an evaluation of the project is presented, based on students’ experiences and findings from a questionnaire, and the experiences are discussed in relation to the purpose of the project. As no comparisons have been made, it is not possible to claim that this teaching is more inclusive, or better in any other regard, as compared to any other teaching. Hopefully, however, the text can provide inspiration and a basis for further development work with a similar focus.

Coherent Fluctuations in Noisy Mesoscopic Systems, the Open Quantum SSEP, and Free Probability

Quantum coherences characterise the ability of particles to quantum mechanically interfere within some given distances. In the context of noisy many-body quantum systems these coherences can fluctuate. A simple toy model to study such fluctuations in an out-of-equilibrium setting is the open quantum symmetric simple exclusion process (Q-SSEP) which describes spinless fermions in one dimension hopping to neighbouring sites with random amplitudes coupled between two reservoirs. Here we show that the dynamics of fluctuations of coherences in Q-SSEP have a natural interpretation as free cumulants, a concept from free probability theory. Based on this insight we provide heuristic arguments why we expect free probability theory to be an appropriate framework to describe coherent fluctuations in generic mesoscopic systems where the noise emerges from a coarse-grained description. In the case of Q-SSEP we show how the link to free probability theory can be used to derive the time evolution of connected fluctuations of coherences as well as a simple steady state solution.

Developing Nature Interpretation and Alternative Management Strategies to Promote Pro-Environmental Behaviors among Visitors to Thailand's National Parks

The purpose of this study was to recommend nature interpretation and alternative management strategies to enhance pro-environmental behaviors among visitors by studying the factors that influence these behaviors. The samples were 1400 Thai visitors and 20 national park officers. Questionnaire data was analyzed using path analysis and content analysis. Taking into account research findings, the 11 of interpretive messages were created to promote the behaviors in national parks across the country. The message that is deemed most appropriate for encouraging visitor behaviors was: "A national park is a treasure for everyone, and it is important that we all do our part to protect it. If you see any activities that have the potential to destroy natural resources or harm the environment, please inform the park officers immediately." Besides, developing effective nature interpretation and preparing public facilities have been recommended as major alternative management strategies. The most appropriate high-level strategy for developing effective nature interpretation was found to be "utilizing new technologies to support nature interpretation." The survey respondents identified "setting up different colored garbage bins" and "installing fences to preserve fragile areas" as the most effective strategies for preparing public facilities and managing visitor behaviors in Thailand's national parks.

What Does ChatGPT Say: The DAO from Algorithmic Intelligence to Linguistic Intelligence

The well-known ancient Chinese philosopher Lao Tzu (老子) or Laozi (6th∼4th century BC during the Spring and Autumn period) started his classic Tao Teh Ching 《道德经》 or Dao De Jing (see Fig. 1) with six Chinese characters: “道(Dao)可(Ke)道(Dao)非(Fei)常(Chang)道(Dao)”, which has been traditionally interpreted as “道可道,非常道” or “The Dao that can be spoken is not the eternal Dao”. However, mordern archaeological discoveries in 1973 and 1993 at Changsha, Hunan, and Jingmen, Hubei, China, have respectively indicated a new, yet more natural and simple interpretation: “道,可道,非常道”, or “The Dao, The Speakable Dao, The Eternal Dao”.

Naturalness and Deformation in Hegel's Inorganic Philosophy of Nature

This article discusses Hegel's claim that nature is the idea (Idee) having become external (äußerlich) to itself. Usually taken to signal a type of limitation in Hegel's philosophy, the author argues that recent interpretations of nature's externality are not entirely successfully because they reconstruct nature by either looking back to logic or forward to spirit. Instead, the article offers an interpretation that starts off from Hegel's argument that nature is "weak" (ohnmächtig) as it is not, nor can become, thoroughly rational. It then traces the implications of this view in Hegel's inorganic philosophy of mechanics and physics. There, in a discussion that culminates with matter as fundamentally "brittle," a picture of externality emerges as the likelihood in nature of "deformed" or "damaged" determinations. What is ultimately unique about nature vis-à-vis logic is a setting in which partial rational determination makes sense at all.

A Generalized RSK for Enumerating Linear Series on n-pointed Curves

We give a combinatorial proof of a recent geometric result of Farkas and Lian on linear series on curves with prescribed incidence conditions. The result states that the expected number of degree-d morphisms from a general genus g, n-marked curve C to ℙ r , sending the marked points on C to specified general points in ℙ r , is equal to (r+1) g for sufficiently large d. This computation may be rephrased as an intersection problem on Grassmannians, which has a natural combinatorial interpretation in terms of Young tableaux by the classical Littlewood-Richardson rule. We give a bijection, generalizing the well-known RSK correspondence, between the tableaux in question and the (r+1)-ary sequences of length g, and we explore our bijection’s combinatorial properties.

Multi-label Classification Performance using Deep Learning

Understanding and using extensive, elevated, and heterogeneous biological data continues to be a major obstacle in the transformation of medical services. Digital health records, neuroimaging, sensor readings, and literature, which are all complicated, heterogeneous, inadequately labelled, and frequently unorganized, are all growing in contemporary biology and medicine. Prior to building prediction or sorting designs in front of the attributes, conventional information retrieval and statistical modelling predicates need to do data augmentation to extract useful and more durable features from the information. In the case of complex material and inadequate technical understanding, a variety of problems along both phases. The most recent convolutional technological advancements offer new, efficient frameworks to create end-to-end teaching methods from massive information. Therefore, in paper, we examine the most recent research on using deep techniques to improve the medical field. We propose that deeper learning technologies may be the means of converting large-scale physiological data into enhancing human ability based on the reviewed studies. We additionally draw attention to some drawbacks and the requirement for better technique design and application, particularly in terms of simplicity of comprehension for subject matter experts and social researchers. In order to bridge deeper learning models with natural interpretability, we examine these problems and recommend creating comprehensive and meaningful decipherable architectures.