Classical Concepts Research Articles

Testing the hypothesis of the normality of the falling number of oatmeal in small samples

Verification of the hypothesis of the normality of small samples is required to establish whether the empirical distribution obtained belongs to the theoretical distribution. The condition for testing the hypothesis of normality for a set of small independent samples is the presence of a sufficient number of them with the same volume. In this case, it is possible to test the hypothesis of the normality of the general aggregates from which the studied samples were taken, assuming that the parameters of these aggregates have different values. When testing the hypothesis of normality for a large number of small samples, only one value of the first, second, etc. measurements is randomly selected from each sample, thereby allowing simplification and random selection of data. The object of this study is small samples of the falling number of oat flour used in bakery production in the development of bakery products. The purpose of this work was to test the hypothesis of normality for small samples of the experiment using the nonparametric criterion of agreement ω2 of the smallest of each of the four definitions of the incidence number, since rounding the values of direct measurements excludes the random nature of the quantity or its normal distribution in favor of a uniform one. It was found that at a significance level of p = 0?05, the table value (nω2)1-p is greater than the calculated value of nω2 for all four definitions, hence the hypothesis of the normal distribution of small samples for all four definitions (as random variables) of the falling number of oatmeal does not deviate. The results obtained in this work are consistent with the generally accepted classical concepts of testing the statistical hypothesis of the normal distribution of samples. The statistical method provides sufficient accuracy of the studied indicator in technical systems and does not require the synthesis of a statistical criterion to test the hypothesis of the normality of small sample.

Alternative stable states, nonlinear behavior, and predictability of microbiome dynamics

BackgroundMicrobiome dynamics are both crucial indicators and potential drivers of human health, agricultural output, and industrial bio-applications. However, predicting microbiome dynamics is notoriously difficult because communities often show abrupt structural changes, such as “dysbiosis” in human microbiomes.MethodsWe integrated theoretical frameworks and empirical analyses with the aim of anticipating drastic shifts of microbial communities. We monitored 48 experimental microbiomes for 110 days and observed that various community-level events, including collapse and gradual compositional changes, occurred according to a defined set of environmental conditions. We analyzed the time-series data based on statistical physics and non-linear mechanics to describe the characteristics of the microbiome dynamics and to examine the predictability of major shifts in microbial community structure.ResultsWe confirmed that the abrupt community changes observed through the time-series could be described as shifts between “alternative stable states“ or dynamics around complex attractors. Furthermore, collapses of microbiome structure were successfully anticipated by means of the diagnostic threshold defined with the “energy landscape” analysis of statistical physics or that of a stability index of nonlinear mechanics.ConclusionsThe results indicate that abrupt microbiome events in complex microbial communities can be forecasted by extending classic ecological concepts to the scale of species-rich microbial systems.BZtjfqfgm5MWSae9EkdSwRVideo

Some properties of substitutions in the framework of similarity relations

A substitution is a mapping from variables to terms. There is a consensus in the Logic Programming community that the work with substitutions is a source of errors due to their poor algebraic properties. This problem increases when we manipulate substitutions in the framework of similarity relations, where some classical concepts have more complex definitions and the intuition of the result of the operations involving them is easily lost.In this work we analyze some algebraic properties of substitutions in the framework of similarity relations. Specifically, we study the lattice structure of the set of idempotent substitutions with the definition of the weak parallel composition and weak parallel factorization operations, acting as the join and meet of the lattice. Also we relate these operations with the classical operation of composition of substitutions. The aim is to provide fuzzy logic programming researchers with reasoning tools with richer properties that facilitate formal proofs and, even, able to define compositional and parallel semantics.

A quasi-comprehensive exploration of the mechanisms of spatial working memory.

Why are some spatial patterns remembered more easily than others? There are many possible mechanisms underlying spatial working memory function. Here, the author explores different mechanisms simultaneously in a single conceptual model. He conducts a large-scale experiment (35.4 million responses used to measure human observers' spatial working memory across 80,000 patterns) and builds a convolutional neural network as a benchmark for what is expected to be explainable. The author then creates a quasi-comprehensive exploration model of spatial working memory based on classic concepts, as well as new notions, including spatial uncertainty, Bayesian integration, out-of-range responses, averaging, grouping, categorical memory, line detection, gap detection, blurring, lateral inhibition, chunking, multiple spatial-frequency channels, redundancy, response bias and random guess. This model provides a tentative overarching framework for the mechanisms of spatial working memory.

From semantic weight to legal ontology via classification of concepts in legal texts

ABSTRACT A difficulty with legal vocabulary is that concepts in different legal systems map imperfectly to each other, particularly from common law systems where classification is often unclear or convoluted to codified civil systems. Even within the English language domain there are numerous legal systems where concepts differ, e.g. between Scotland and England. This causes significant problems for students’, especially foreign language students’, reading comprehension and developing understanding of legal lexis where translation dictionaries, while they may be efficient, are imperfect. This article sets out a classification approach to reading and English language legal concept deep understanding rooted in theories from education and cognitive linguistics, in particular Categories and Prototypes, Schema theory, and Legitimation Code Theory (LCT). I have used the approach successfully for some years with international students studying law in Scotland, assisting their reading of textbooks and especially journal articles while building domain knowledge. The application of the strategy is presented in the context of research on the adoption of reading strategies which finds that adoption is influenced by awareness of the complexity of the concepts in the text, complexity of the strategy, and by how much particular strategies are seen as a valid method in legal study.

Philosophical foundation of the right to mental integrity in the age of neurotechnologies

Neurotechnologies broadly understood are tools that have the capability to read, record and modify our mental activity by acting on its brain correlates. The emergence of increasingly powerful and sophisticated techniques has given rise to the proposal to introduce new rights specifically directed to protect mental privacy, freedom of thought, and mental integrity. These rights, also proposed as basic human rights, are conceived in direct relation to tools that threaten mental privacy, freedom of thought, mental integrity, and personal identity. In this paper, our goal is to give a philosophical foundation to a specific right that we will call right to mental integrity. It encapsulates both the classical concepts of privacy and non-interference in our mind/brain. Such a philosophical foundation refers to certain features of the mind that hitherto could not be reached directly from the outside: intentionality, first-person perspective, personal autonomy in moral choices and in the construction of one's narrative, and relational identity. A variety of neurotechnologies or other tools, including artificial intelligence, alone or in combination can, by their very availability, threaten our mental integrity. Therefore, it is necessary to posit a specific right and provide it with a theoretical foundation and justification. It will be up to a subsequent treatment to define the moral and legal boundaries of such a right and its application.

Resilience of Rural Households: Insights from a Multidisciplinary Literature

Due to the increase in both the frequency and severity of shocks and stressors that rural households are faced with, a vast array of studies has emerged in recent times on issues surrounding their resilience. Scholarship in this field has benefitted from insights from multiple disciplines including applied economics, disaster risk management, and human ecology, to name a few. These diverse contributions, although beneficial and necessary, have led to what appears to be discrepancies in the research arena. Using a bibliometric approach and thematic clustering, we shed light on the research landscape of rural household resilience. Furthermore, this article synthesizes some of the main contributions from various subfields and offers a systematic way for studies to approach the subject matter. From issues such as the objective and subjective dimensions of resilience characterization and measurement, to the degree of integration of the broader social ecological systems within which, households exist, the systematic classification of related concepts carried out in this article helps to organize knowledge, as well as aims to provide a guiding framework for future research and review efforts.

Wave solitons to a nonlinear doubly dispersive equation in describing the nonlinear wave propagation via two analytical techniques

Over the years, it has been apparent that the application of classical concepts in differential calculus in describing new applied problems requires a kind of general and fundamental overhaul. The importance of this issue is so high that it can be seen that new and various definitions are introduced in this field of differential calculus. To this end, in this manuscript, we incorporate two analytical methods for solving a nonlinear equation arising in nonlinear physical while expressing the propagation of nonlinear waves. In the technique employed in this paper, first, some extensions of well-known elementary functions, defined on the contour set, are introduced. Solutions to the equation are then expressed in terms of these generalized functions. To better understand the physical behavior of these results, we have used three-dimensional plots of the solutions on 2D the contour set-based domain. All the results presented in this paper are new achievements for this particular form of the equation that to our knowledge have not been introduced in the previous literature. In all parts of this article, we have used Maple symbolic packages in handling analytical calculations, then symbolic computations in Mathematica has also been utilized to perform corresponding simulations.

Category management: Industry vs trade

Identification of the peculiarities of category management in trade and industry enterprises, and development and testing of the method for category management evaluation in the light of global macro-trends that transform category management under the current conditions determined the relevance and purpose of the study. Nowadays, category management is perceived by most organisations as a continuous business process where category management activities are an integral part of the business. The theoretical and methodological basis of the study was the conceptual principles and methodological approaches to the management of product categories, which are highlighted by Ukrainian and foreign researchers, in the materials of periodicals, and in the Internet resources dedicated to the investigation of classical and modern concepts of category management. In the process of their development, such scientific and empirical methods as causal analysis and synthesis, deduction and induction, systematisation and generalisation, system and process approaches were used. The conducted research revealed the presence of significant reserves for the development of category management at industrial enterprises. According to the results of “The Future of Category Management” survey, such global macro trends of the transformation of category management were identified as the store of the future; digital supply system; the future of the food market; the growing role of environmental, social, and corporate responsibility. An approach to assessing the state of category management at a trade and industry enterprise is proposed, with the help of checklists for monitoring the state of provision of category management and monitoring the assessment of the organisational effect in the field of enterprise category management. The proposed approach to assessing the state of category management will contribute to the improvement of approaches to planning, information, and analytical support and control over the main management processes at the enterprise

Turbulent energy transformations in Central Europe: Nord Stream projects in the context of geopolitics

Abstract The sabotage related to the Nord Stream pipelines does not only signify the Russo ‑Ukrainian War’s escalated realities and potential future risks, also tied to the energy security of supply, but in addition to traditional economic and energetic dilemmas, it also has a specific meaning in light of classic geopolitical concepts. Our study aims to highlight that the contradictions between the direct or indirect nation-state stakeholders, even nowadays, fit into the logic of the power plays illustrated in traditional geopolitical theories. And thus, the events related to the Nord Stream 2 project, as guiding principles, underline not only the energy relations of relevant international state actors appearing in the pipeline’s environment but also in the context of geopolitical positions and the structure of potential geopolitical transformations.

Simplifying the Extended Clearance Concept Classification System (EC3S) to Guide Clearance Prediction in Drug Discovery.

The Extended Clearance Concept Classification System was established as a development-stage tool to provide a framework for identifying fundamental mechanism(s) governing drug disposition in humans. In the present study, the applicability of the EC3S in drug discovery has been investigated. In its current format, the EC3S relies on low-throughput hepatocyte uptake data, which are not frequently generated in a discovery setting. A relationship between hepatocyte uptake clearance and MDCK permeability was first established along with intrinsic clearance from human liver microsomes. The performance of this approach was examined by categorizing 64 drugs into EC3S classes and comparing the predicted major elimination pathway(s) to that observed in humans. As an extension of the work, the ability of the simplified EC3S to predict human systemic clearance based on intrinsic clearance generated using in-vitro metabolic systems was evaluated. The assessment enabled the use of MDCK permeability and unscaled unbound intrinsic clearance to generate cut-off criteria to categorize compounds into four EC3S classes: Class12ab, 2cd, 34ab, and 34cd, with major elimination mechanism(s) assigned to each class. The predictivity analysis suggested that systemic clearance could generally be predicted within threefold for EC3S class 12ab and 34ab compounds. For classes 2cd and 34cd, systemic clearance was poorly predicted using in-vitro systems explored in this study. Collectively, our simplified classification approach is expected to facilitate the identification of mechanism(s) involved in drug elimination, faster resolution of in-vitro to in-vivo disconnects, and better design of mechanistic pharmacokinetic studies in drug discovery.

Определение дисперсности в темных нефтяных средах

Properties of oil and petroleum products largely depend on the fractional and chemical composition, on the quantitative content of different components in them, their qualitative characteristics, as well as on the dispersed composition of the oil system. Examples of oil dispersed systems are given in accordance with their classification. The dispersed phase and its structure are considered on the basis of classical concepts as a complex structural unit consisting of a nuclear and layers surrounding it. The dispersion degree is defined by the forces of intermolecular interaction between the nucleus and layers of a complex structural unit, as well as between the layers. A great contribution to forming and stability of a complex structural unit is made by bonds based on spin-spin and spin-polarized interactions. The diamagnetic components of the system form a dispersion environment. The greater a dispersion, the stronger the molecular kinetic factors become, the more intensive the diffusion processes are, the sedimentation stability increases, and the physico-chemical processes at the phase boundary accelerate. Therefore, dispersion is one of the most important factors of oil dispersed systems that determine their properties (viscosity, flash and solidification temperatures, fractional composition, density). The study of changes in the dispersion of the system under various kinds of influences, determined by the size of the average diameter of the particles of the dispersed phase, makes it possible to identify the most favorable conditions for the implementation of technological processes during transportation, storage, processing, and ensuring environmental safety. The proposed photoelectrocolorimetric method for determining 
 a mean diameter of particles of the dispersed phase of dark and viscous petroleum products differs from the well-known method in that it is carried out without diluting the sample, which could distort its dispersed composition. Besides, the sample optical density is determined in a thin fixed layer of a petroleum product due to a hard insert between the slides. The analysis methodology is described including a description of the device, a sequence of preparation and measurement, as well as processing of the results obtained.

Integration of multi-criteria decision-making approaches adapted for quality function deployment: an analytical literature review and future research agenda

PurposeThis paper aims to classify journal papers in the context of hybrid quality function deployment QFD and multi-criteria decision-making (MCDM) methods published during 2004–2021.Design/methodology/approachA conceptual classification scheme is presented to analyze the hybrid QFD-MCDM methods. Then some recommendations are given to introduce directions for future research.FindingsThe results show that among all related areas, the manufacturing application has the most frequency of published papers regarding hybrid QFD-MCDM methods. Moreover, using uncertainty to establish a hybrid QFD-MCDM the relevant papers have been considered during the time interval 2004–2021.Originality/valueThere are various shortcomings in conventional QFD which limit its efficiency and potential applications. Since 2004, when MCDM methods were frequently adopted in the quality management context, increasing attention has been drawn from both practical and academic perspectives. Recently, the integration of MCDM techniques into the QFD model has played an important role in designing new products and services, supplier selection, green manufacturing systems and sustainability topics. Hence, this survey reviewed hybrid QFD-MCDM methods during 2004–2021.

Formula constant optimisation techniques including variation of keratometer or corneal refractive index and consideration for classical and modern IOL formulae.

To investigate whether variation of the keratometer/corneal refractive index nK/nC improves the performance (prediction error PE) of classical and a modern intraocular lens (IOL) power calculation formula and further, to establish whether any trend error of PE for corneal radius R could be eliminated using formula constant and nK/nC optimisation. Based on 2 large datasets (1: N = 888 Hoya Vivinex aberration-correcting and 2: N = 822 Alcon SA60AT spherical lens) a classical formula constant optimisation has been performed for the Hoffer Q, Holladay 1, Haigis and Castrop formulae, to minimise the root mean squared (rms) PE (situation A). In two further optimisations, the formula constants and the formula specific nK/nC value were optimised to minimise the rms PE (situation B) or rms PE and trend error of PE for R (situation C). Nonlinear iterative optimisation strategy was applied according to Levenberg-Marquardt. Optimising for rms PE and trend error (C) mainly improved the performance of the Holladay 1. The Haigis formula also showed a slight improvement compared to (A). The Hoffer Q formula shows no relevant trend error of PE for R. In contrast, the Holladay shows a positive and the Haigis (and the Castrop a slight) negative trend error of PE for R. The trend error could be fully eliminated by optimising formula constants and nK/nC in (B), but this was at the cost of overall performance in the case of the Holladay 1 formula. Classical IOL calculation concepts should be critically examined for potential improvement of formula performance by variation of the empirical nK/nC value defined in the formula. With additional degrees of freedom additional optimisation terms such as trend errors might be considered in new intelligent optimisation strategies.

Comparison of personal information de-identification policies and laws within the EU, the US, Japan, and South Korea

In the era of big data, data creates new added value by collecting, analyzing, and transforming the thoughts and actions of economic members and creating insights that can predict the future. This means that in the near future, data-driven decisions based on data, rather than subjectivity or experience, will be the driving force behind society.However, since valuable and useful data is bound to be generated from personal information, how to safely utilize personal information is becoming an important topic in the big data era. To protect personal information in this environment, data services and database providers have increased their focus on the implementation of de-identification, a technique that can protect personal information while maintaining the usefulness of the data. Moreover, many countries have introduced new policies and laws focusing on the de-identification of personal information.Accordingly, this paper compares and analyzes how the European Union, the United States, Japan, and South Korea have recently adopted the concept of de-identification in their own personal information protection laws, and presents common trends and implications. As a comparative framework, each country's conceptual classification system related to de-identification, legal treatment, data controller obligations, and de-identification procedures was included.This study identifies the shifts made in each country's regulatory system following the introduction of the concept of de-identification. These include a shift from a binary approach to an approach that considers the identifiability spectrum, from a belief in anonymization to regulation from a risk management perspective, and from a focus on de-identification methods, to responsibility for follow-up management.This study contributes to the establishment of specialized knowledge of de-identification practices by empirically examining the current status of de-identification information-related legal systems adopted by major countries/regions. Also, the study proved the actualization of theory by confirming that the de-identification policy approach from the perspective of risk management is actually applied to the laws of each country. In addition, the attempt to present a framework for systematic comparison of de-identification systems by country provides a new perspective that can trace the trend of future de-identification system changes on a consistent basis. In addition, this study brings the gradual expansion of data policy research by expanding the research on de-identified information, which has been studied mainly in Europe and the United States, to case studies in Japan and South Korea.

Ancestral Waters: Material Culture, Notion of Transformation and Shamanism in the Stilt Villages in Eastern Amazonia

This work aims to apply the theories of new materialities to the study of the material culture of the Formoso stilt village, a pre-colonial settlement from the ninth–tenth centuriesad, located in the Baixada Maranhense. Appliqués of the pottery bowls at this archaeological site present cosmological information regarding the transformation or metamorphosis of bodies, aspects that are fertile for the discussion of shamanism in the lowlands of South America, especially the Amazon. Classic concepts of anthropological ethnography applied to archaeology are used, contributing to the discussion on the diversity of ways to manufacture the body in the Amazon in its easternmost portion, such as that of theMaster of Animals, a supernatural entity metamorphosed by the shaman and who could also have been part of the cosmology of the lake peoples of Maranhão, Brazil. Two artifacts depicting beings that have their feet turned backwards may be associated with the Curupira, thus evidencing a long-lasting history of this supernatural being that was recorded both in colonial documentation and in indigenous ethnography.

A Holographic Principle for Non-Relativistic Quantum Mechanics

The quantum-classical isomorphism for self-consistent field theory, which allows quantum particles in space-time to be represented as classical one-dimensional threads embedded in a five dimensional thermal-space-time, is summarized and used to explain a selection of quantum phenomena. Introduced by Feynman, and used for modern quantum simulations, the isomorphism, when phrased in a field-theoretic way, has been shown to be the same as quantum density functional theory, the theorems of which guarantee equivalent predictions with non-relativistic quantum mechanics. If the Feynman dimension is considered to be real, there is a duality between classical threads in five dimensions and quantum particles in four dimensions. Using the 5D picture, intuitive explanations are given for quantum phenomena including the uncertainty principle, tunnelling, geometric phase, and interference effects. Advantages of the 5D picture are presented, which include fewer postulates, no measurement problem, and the need for only classical concepts in the higher dimensional space. Limitations of the approach such as the interpretation of entanglement and spin are discussed.

Introduction: Assimilation, integration or transnationalism? An overview of theories of migrant incorporation

Introduction: Assimilation, integration or transnationalism? An overview of theories of migrant incorporation

СИСТЕМАТИКА ПОНЯТИЙ В ОБЛАСТИ ИНФОРМАЦИОННОЙ БЕЗОПАСНОСТИ

Based on the existing requirements for the categories of concepts, terms and definitions related to these concepts, the paper proposes a classification of concepts related to information security (IS) of objects and at the same time currently possessing the maximum unambiguous correspondence with the terms denoting these concepts and definitions concepts (terms). When constructing classifications, an attempt was made to apply the basics of the theory of taxonomy (systematics), which led to the conclusion that the considered structures of concept systems as a whole will be hierarchical (the main principle of taxonomy) under certain conditions (for example, when using only concepts that belong to the categories of the subject (object), process, or property). The approach considered in the paper made it possible to formulate definitions of terms directly related to the proposed systems of concepts. This set can be considered as a terminological system related to the field of information security of the object. The proposed terms and their definitions do not contradict similar ones used in practice, they are systematic in relation to the terms themselves (definitions) and systematic in relation to the corresponding concepts, and also have a universal nature of application, which allows their use for almost any objects related to information (for example, information and automated systems, informatization systems, sociotechnical systems, cyber systems and information as an object). The results of the work are of practical importance for the educational field in the formation of a modern, methodically sound conceptual base among students.

Optimism pessimism stability in the graph model for conflict resolution for multilateral conflicts

In this article, we introduce a new solution concept for the graph model for conflict resolution (GMCR) for situations where decision makers (DMs) have no information about their opponents’ preferences or act not using this information. Many classical stability concepts used in the GMCR are based on a conservative attitude of DMs. Here we propose to incorporate a degree of optimism to allow for more types of attitudes under uncertainty. More specifically, inspired by the notions of Lh stability and Maximinh stability, we present the Optimism Pessimism stability for conflicts involving any finite number of DMs considering that a DM anticipates his/her own benefits looking an arbitrary number of rounds ahead, called horizon and denoted by h, and uses his/her degree of optimism to evaluate his/her anticipated payoff according to the worst and best scenarios that can be achieved. We investigate how the degree of optimism and the conflict horizon influence the stability of states. We also analyse how the optimism pessimism stability is related to other stabilities commonly used in GMCR. Finally, this new solution concept is applied to the multilateral dispute over water export from Lake Gisborne.